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Crime 
in  the 
United 
States 


JUL  '6    igog 


UNIFORM 


SUMMARY 


CRIME 


REPORTS 

for  the  United  States 


CRIME  INDEX 


PRINTED  ANNUALLY  —  1987  by: 

Federal  Bureau  of  Investigation 

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


CRIMES  CLEARED 


PERSONS  ARRESTED 


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


LAW  ENFORCEMENT  PERSONNEL 


APPENDICES 


For  sale  by  the  SupennlendenI  of  Documents,  U.S.  Government   Pnnting  OfTice,  Washington.  DC-  20402 


FOREWORD 

Americans,  like  all  people,  are  concerned  about  the  quality  of  their  lives. 
Along  with  many  social,  economic,  and  political  factors,  crime  imposes  a 
significant  influence  on  our  existence.  Its  prevalence  weighs  upon  our  decisions 
regarding  the  location  of  our  residences,  the  schools  to  which  we  send  our 
children,  and  the  shopping  centers  we  frequent. 

We  Americans  can  be  credited  for  feeling  a  moral  imperative  to  correct 
what  is  wrong,  to  change  social  ills,  and  to  improve  our  environment.  Most  of  us 
act  rather  than  avoid;  we  develop  rather  than  merely  subsist.  The  direct 
involvement  of  concerned  citizens  is  demonstrated  in  many  areas.  One  example 
is  their  response  to  the  President's  war  on  drugs.  Recognition  of  illegal  drug  use 
as  an  erosion  of  society,  not  as  an  expression  of  free  choice,  has  brought  citizens' 
support  of  the  fight  against  drug  abuse  to  the  forefront.  Crime  Watch,  Victims 
Assistance,  and  other  such  programs  also  serve  as  examples  of  citizens'  actions 
against  crime. 

Likewise,  law  enforcement,  while  faced  with  shrinking  budgets,  continues  to 
work  for  improved  efficiency  and  effectiveness  in  the  war  against  crime. 
Identified  as  important  and  necessary  by  law  enforcement  in  this  endeavor  is  the 
collection  of  enhanced  crime  statistics.  Expanding  the  amount  and  detail  of 
crime  statistics  available  for  analysis  will  more  meaningfully  determine  the 
nature  and  scope  of  crime. 

In  the  coming  years,  law  enforcement,  with  the  FBI's  support,  will  begin  to 
compile  data  far  beyond  the  summary  totals  now  collected.  The  redesigned 
UCR  Program  will  address  the  circumstances  of  individual  criminal  events,  as 
well  as  offender,  victim,  and  arrestee  information.  Other  data  vital  to  an 
understanding  of  such  issues  as  illicit  drug  use,  spousal  and  child  abuse,  and 
parental  kidnaping  will  be  provided  in  the  new  Program. 

As  more  and  more  law  enforcement  agencies  implement  the  system,  the  full 
significance  of  the  new  data  will  be  realized.  State  and  national  lawmakers, 
courts,  and  city  officials,  in  addition  to  law  enforcement,  will  have  at  their 
disposal  a  wealth  of  pertinent  information  on  which  to  base  decisions,  enact 
laws,  and  utilize  resources.  Explanations  and  remedies  for  criminally  related 
social  problems  can  also  hopefully  be  identified  by  social  research.  Most 
importantly,  the  American  taxpayer  will  be  provided  a  broad  and  definitive 
account  of  crime. 

Crime  must  be  controlled  if  the  quality  of  life  we  all  seek  is  to  be  attained. 
To  be  controlled,  crime  must  be  understood.  Criminal  activity,  its  social  causes, 
and  its  effects  in  human  and  economic  terms  must  be  appreciated.  I  extol  the 
efforts  of  law  enforcement  to  establish  the  new  crime  reporting  system  that  will 
make  the  public  fully  cognizant  of  the  dimension  of  crime.  Law  enforcement's 
recognition  that  the  best  served  public  is  the  best  informed  promises  a  lasting 
and  free  society. 


William  S.  Sessions 
Director 


iii 


CRIME  FACTORS 

The  presence  of  crime  in  our  Nation  is  a  matter  of  serious  concern  not  only 
to  the  law  enforcement  profession,  but  to  society  at  large.  Historically,  the 
causes  and  origins  of  crime  have  been  the  subjects  of  investigation  by  varied 
disciplines.  Some  factors  affecting  the  volume  and  type  of  crime  occurring  from 
place  to  place  are: 

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

Variations    in    composition    of  the    population,    particularly    youth 
concentration. 

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

Modes  of  transportation  and  highway  system. 

Economic  conditions,  including  median  income,  destitution,  and  job 
availability. 

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

Family  conditions  with  respect  to  divorce  and  family  cohesiveness. 

Climate. 

Effective  strength  of  law  enforcement  agencies. 

Administrative  and  investigative  emphases  of  law  enforcement. 

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

Attitudes  of  citizenry  toward  crime. 

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


CONTENTS 

Page 

Section  I- Summary  of  the  Uniform  Crime  Reporting  Program 1-5 

Section  Il-Crime  Index  Offenses  Reported 6-152 

Narrative  comments: 

Murder  and  nonnegligent  manslaughter  7-12 

Forcible  rape 13-15 

Robbery    16-20 

Aggravated  assault 21-23 

Burglary    24-27 

Larceny-theft    28-32 

Motor  vehicle  theft 33-35 

Arson    36-39 

Crime  Index  tabulations 40-41 

Charts: 

Crime  clock,  1987  6 

Murder,  monthly  variation  from  annual  average 8 

Murder,   1983-1987 8 

Forcible  rape,  monthly  variation  from  annual  average  14 

Forcible  rape,   1983-1987 14 

Robbery,  monthly  variation  from  annual  average 17 

Robbery,  1983-1987 17 

Robbery  analysis,   1983-1987 19 

Aggravated  assault,  monthly  variation  from  annual  average 22 

Aggravated  assault,   1983-1987 22 

Burglary,  monthly  variation  from  annual  average  25 

Burglary,  1983-1987  25 

Burglary  analysis,   1983-1987 26 

Larceny-theft,  monthly  variation  from  annual  average 29 

Larceny-theft,   1983-1987 29 

Larceny  analysis,   1983-1987 30 

Larceny  analysis,   1987 31 

Motor  vehicle  theft,  monthly  variation  from  annual  average 34 

Motor  vehicle  theft,   1983-1987 34 

Crime  Index  total,   1983-1987 43 

Tables: 

Murder: 

By  month,  percent  of  annual  total,   1983-1987 8 

Age,  sex,  and  race  of  victims,   1987  9 

Victim/offender  relationship  by  race  and  sex,   1987 9 

Type  of  weapons  used,   1987  10 

Victims,  type  of  weapons  used,   1983-1987 10 

Victims  —  weapons  used,   1987 10 

Circumstances  by  relationship,   1987  11 

Circumstances  by  weapon,  1987 11 

Circumstances,   1983-1987  12 

Forcible  rape,  by  month,  percent  of  annual  total,   1983-1987 14 

Robbery: 

By  month,  percent  of  annual  total,  1983-1987 17 

Percent  distribution,  region,   1987 18 

Percent  distribution,  population  group,   1987 18 

Type  of  weapons  used,  1987 18 

vii 


Page 
Tables  —  continued 

Aggravated  assault: 

By  month,  percent  of  annual  total,   1983-1987 22 

Type  of  weapons  used,   1987  23 

Burglary,  by  month,  percent  of  annual  total,   1983-1987 25 

Larceny-theft: 

By  month,  percent  of  annual  total,   1983-1987 29 

By  region,   1987 32 

Motor  vehicle  theft: 

By  month,  percent  of  annual  total,   1983-1987 34 

By  region,   1987 35 

Arson,   1987: 

Rate,  population  group 37 

Type  of  property  37 

Structures  not  in  use  38 

Property  damage 38 

Offenses  cleared  by  arrest 38 

Offenses  cleared  by  arrest  of  persons  under  18  years  of  age 38 

Index  of  crime: 

United  States,   1978-1987 41 

United  States,   1987  42 

Regional  offense  and  population  distribution,   1987  42 

Region,  geographic  division,  and  state,   1986-1987  44-51 

State,   1987 52-62 

Number  of  offenses  known  to  the  police,  1987: 

Cities  and  towns   10,000  and  over  in  population 63-109 

Universities  and  colleges 110-117 

Suburban  counties 118-131 

Rural  counties  25,000  and  over  in  population 132-139 

Crime  trends,  offenses  known  to  the  police,   1986-1987: 

Population  group  140-141 

Suburban  and  nonsuburban  cities,  population  group 142 

Suburban  and  nonsuburban  counties,  population  group 143 

Offense  breakdown,  population  group 144-145 

Crime  rates,  offenses  known  to  the  police,   1987: 

Population  group  146-147 

Suburban  and  nonsuburban  cities,  population  group 148 

Suburban  and  nonsuburban  counties,  population  group 149 

Offense  breakdown,  population  group 1 50- 1 5 1 

Offense  analysis,   1987,  and  percent  change  from  1986 152 

Type  and  value  of  property  stolen  and  recovered,   1987  152 

Section  Ill-Crime  Index  Offenses  Cleared 153-162 

Narrative  comments 153 

Chart: 

Crimes  cleared  by  arrest,  1987 154 

Tables: 

Offenses  known  and  percent  cleared  by  arrest,   1987: 

Population  group  155-156' 

Geographic  region  and  division 157-158 

Offense  breakdown,  population  group 1 59- 1 60  | 

Offenses  cleared  by  arrest  of  persons  under   18  years  of  age,   1987 161-162 


Page 

Section  IV- Persons  Arrested 163-225 

Narrative  comments 1 63- 1 64 

Tables: 

Arrests  for  drug  abuse  violations,   1987  163 

Total  estimated  arrests,  United  States,   1987 164 

Arrests,  number  and  rate,   1987: 

Region    165 

Population  group  1 66- 1 67 

Total  arrest  trends: 

1978-1987    168 

Sex,   1978-1987  169 

1983-1987    170 

Sex,   1983-1987 171 

1986-1987    172 

Sex,   1986-1987  173 

Total  arrests,   1987: 

Distribution  by  age 1 74- 1 75 

Male  arrests,  distribution  by  age 176-177 

Female  arrests,  distribution  by  age 178-179 

Of  persons  under  15,  18,  21,  and  25  years  of  age 180 

Distribution  by  sex 181 

Distribution  by  race 1 82- 1 84 

City  arrest  trends: 

1986-1987    185 

Sex,   1986-1987  186 

City  arrests,  1987: 

Distribution  by  age 187-188 

Of  persons  under  15,  18,  21,  and  25  years  of  age 189 

Distribution  by  sex 1 90 

Distribution  by  race 191-193 

Suburban  county  arrest  trends: 

1986-1987    194 

Sex,    1986-1987  195 

Suburban  county  arrests,  1987: 

Distribution  by  age 1 96- 1 97 

Of  persons  under  15,  18,  21,  and  25  years  of  age 198 

Distribution  by  sex 1 99 

Distribution  by  race 200-202 

Rural  county  arrest  trends: 

1986-1987    203 

Sex,   1986-1987  204 

Rural  county  arrests,   1987: 

Distribution  by  age 205-206 

Of  persons  under  15,  18,  21,  and  25  years  of  age 207 

Distribution  by  sex 208 

Distribution  by  race 209-2 1 1 

Suburban  area  arrest  trends: 

1986-1987    212 

Sex,   1986-1987  213 

Suburban  area  arrests,   1987: 

Distribution  by  age 214-2 1 5 

Of  persons  under  15,   18,  21,  and  25  years  of  age 216 

Distribution  by  sex 217 

Distribution  by  race 21 8-220 

Arrests  by  state.  Crime  Index  offenses,   1987 221-224 

Police  disposition  of  juvenile  offenders  taken  into  custody,   1987  225 

ix 


Page 

Law  Enforcement  Code  of  Ethics  226 

Section  V-Law  Enforcement  Personnel 227-310 

Narrative  comments 227-228 

Tables: 

Full-time  law  enforcement  employees,  October  31,   1987: 

Employees,  rate  per  1,000  inhabitants,  region  and  population  group 227 

Officers,  rate  per  1,000  inhabitants,  region  and  population  group  228 

Employees,  number  and  rate  per  1,000  inhabitants,  geographic  division  and  population  group 229 

Officers,  number  and  rate  per  1,000  inhabitants,  geographic  division  and  population  group  230 

Employees,  range  in  rate  per  1,000  inhabitants 231 

Officers,  range  in  rate  per  1 ,000  inhabitants 232 

Employees,  percent  male  and  female  233 

Civilian  employees,  percent  of  total,  population  group 233 

State  agencies 234 

Cities    235-292 

Universities  and  colleges 293-296 

Suburban  counties 297-300 

Rural  counties 301  -3 10 

Section  VI- Appendices 311-351 

Appendix  I-  Table  methodology 311-314 

Appendix  Il-Offenses  in  Uniform  Crime  Reporting 315-316 

Appendix  III- Uniform  Crime  Reporting  area  definitions 317-318 

Appendix  IV- Index  of  Crime,  Metropolitan  Statistical  Areas,  1987 319-346 

Appendix  V- Directory  of  Uniform  Crime  Reporting  Programs 347-351 


SECTION  I 
SUMMARY  OF  THE  UNIFORM  CRIME  REPORTING 

PROGRAM 


The  Uniform  Crime  Reporting  (UCR)  Program  is  a 
cooperative  statistical  effort  of  approximately  16,000  city, 
county,  and  state  law  enforcement  agencies  voluntarily 
reporting  data  on  crimes  brought  to  their  attention.  Since 
1930,  the  FBI  has  administered  the  Program  and  issued 
periodic  assessments  of  the  nature  and  type  of  crime  in  the 
Nation.  While  the  Program's  primary  objective  is  to 
generate  a  reliable  set  of  criminal  statistics  for  use  in  law 
enforcement  administration,  operation,  and  management,  its 
data  have  over  the  years  become  one  of  the  leading  social 
indicators  in  the  country.  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  purposes. 

Historical  Background 

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

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

i  distinction  between  felony  and  misdemeanor  crimes  was 
possible.  To  avoid  these  problems  and  provide  nationwide 
uniformity    in    crime    reporting,    standardized    offense 

'  definitions  by  which  law  enforcement  agencies  were  to 
submit    data,    without    regard    for    local    statutes,    were 


formulated.  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. 

While  throughout  the  years  the  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 
concurred  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  provide 
financial  support  for  the  first  two  phases.  Conducted  by  an 
independent  contractor,  these  phases  were  structured  to 
determine  what,  if  any,  changes  should  be  made  to  the 
current  Program.  The  third  phase  would  involve 
implementation  of  the  changes  identified.  Abt  Associates 
Inc.  of  Cambridge,  Massachusetts,  overseen  by  the  FBI, 
BJS,  and  a  Steering  Committee  comprised  of  prestigious 
individuals  representing  a  myriad  of  disciplines,  commenced 
the  first  phase  in   1982. 

During  the  first  phase,  the  historical  evolution  of  the 
Program  was  examined.  All  aspects  of  the  Program, 
including  the  objectives  and  intended  user  audience,  data 
items,  reporting  mechanisms,  quality  control,  publications 
and  user  services,  and  relationships  with  other  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 
Committee  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  unanimously 
approved.  The  joint  lACP/National  Sheriffs'  Association 
(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 
informational  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  populations  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  program. 

One  of  the  first  actions  taken  by  the  FBI  to  begin 
implementation  was  to  award  a  contract  for  the 
development  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  current 
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  Program  and 
collect  data  on  both  offenses  and  arrests  relating  to  the 
newly  defined  ofTenses. 


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. 

Advisory  Groups 

Providing  vital  links  between  local  law  enforcement  and 
the  FBI  in  the  conduct  of  the  UCR  Program  are  the  lACP 
and  the  NSA.  The  lACP's  Committee  on  Uniform  Crime 
Records,  as  it  has  since  the  Program  began,  represents  the 
thousands  of  police  departments  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. 

The  Association  of  State  Uniform  Crime  Reporting 
Programs  and  committees  on  UCR  within  individual  state 
law  enforcement  associations  are  also  active  in  promoting 
interest  in  the  UCR  Program.  These  organizations  foster 
widespread  and  more  intelligent  use  of  uniform  crime 
statistics  and  lend  assistance  to  contributors  when  the  needs 
arise. 

Methods  of  Data  Collection 

The  information  compiled  by  UCR  contributors  is 
forwarded  to  the  FBI  either  directly  from  the  local  law 
enforcement  agency  or  through  a  state-level  UCR  Program. 
Agencies  submitting  directly  to  the  FBI  are  provided 
continuing  guidance  and  support  on  an  individual  basis. 

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

With  the  development  of  a  state  UCR  Program,  the  FBI 
ceases  direct  collection  of  data  from  individual  law 
enforcement  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  submitted 
to  the  national  Program,  as  well  as  provide  for  regular  and 
timely  reporting  of  national  crime  data.  These  conditions 


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

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

Reporting  Procedures 

Based  on  records  of  all  reports  of  crime  received  from 
victims,  officers  who  discover  infractions,  or  other  sources, 
law  enforcement  agencies  across  the  country  tabulate  the 
number  of  Crime  Index  or  Part  I  offenses  brought  to  their 
attention  during  each  month.  Specifically,  the  crimes 
reported  to  the  FBI  are  murder  and  nonnegligent 
manslaughter,  forcible  rape,  robbery,  aggravated  assault, 
burglary,  larceny-theft,  motor  vehicle  theft,  and  arson. 

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

Another  integral  part  of  the  monthly  submission  is  the 
total  number  of  actual  Crime  Index  offenses  cleared.  Crimes 
are  "cleared"  in  one  of  two  ways:  (1)  at  least  one  person  is 
arrested,  charged,  and  turned  over  to  the  court  for 
prosecution;  or  (2)  by  exceptional  means  when  some 
element  beyond  police  control  precludes  the  arrest  of  an 


offender.  Law  enforcement  agencies  also  report  the  number 
of  Index  crime  clearances  which  involve  only  offenders 
under  the  age  of  18;  the  value  of  property  stolen  and 
recovered  in  connection  with  the  offenses;  and  detailed 
information  pertaining  to  criminal  homicide  and  arson. 

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

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

Editing  Procedures 

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

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

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

The  Uniform  Crime  Reporting  Handbook,  which  details 
procedures  for  classifying  and  scoring  offenses,  is  supplied 
to  all  contributors  as  the  basic  resource  document  for 
preparing  reports.  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  participants, 
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.  Although 
the  Program  makes  every  effort  through  its  editing 
procedures,  training  practices,  and  correspondence  to  assure 
the  validity  of  the  data  it  receives,  the  statistics'  accuracy 
depends  primarily  on  the  adherence  of  each  contributor  to 
the  established  standards  of  reporting.  Deviations  from 
these  established  standards  which  cannot  be  resolved  by  the 
national  UCR  Program  may  be  brought  to  the  attention  of 
the  Committee  on  Uniform  Crime  Records  of  the  lACP  or 
the  Committee  on  Uniform  Crime  Reporting  of  the  NSA. 

Reporting  Area 

The  presentation  of  statistics  by  reporting  area  facilitates 
analyzing  local  crime  counts  in  conjunction  with  those  for 
areas  of  similar  geographical  location  or  population  size. 
Geographically,  the  United  States  is  divisible  by  regions, 
divisions,  and  states.  As  discussed  in  Appendix  III,  further 
breakdowns  rely  on  population  figures  and  proximity  to 
metropolitan  areas. 

A  Metropolitan  Statistical  Area  (MSA)  is  an  integrated 
economic  and  social  unit  with  a  recognized  large  population 
nucleus.  Each  has  a  central  city  of  at  least  50,000  population 
or  an  urbanized  area  of  at  least  50,000.  Contiguous  counties 
which  meet  specified  criteria  of  metropolitan  character  and 
integration,  designated  suburban  counties  in  UCR,  are 
included.  Due  to  changes  in  the  geographic  compositions  of 
MSAs,  no  year-to-year  comparisons  of  data  for  those  areas 
should  be  attempted. 

Rural  counties  and  "other  cities,"  most  of  which  are 
incorporated,  are  outside  MSAs.  As  a  general  rule,  sheriffs, 
county  police,  and  state  police  report  crimes  committed 
within  the  limits  of  the  counties  but  outside  cities,  while 
local  police  report  crimes  committed  within  the  city  limits. 

Certain  tables  within  this  publication  present  statistics 
relative  to  "suburban"  areas.  A  suburban  area  consists  of 
cities  with  fewer  than  50,000  inhabitants  together  with 
counties  which  are  within  an  MSA.  In  this  context,  the 
central  city  is,  of  course,  excluded.  The  concept  of  suburban 
area  is  especially  important  in  a  study  of  this  nature  because 
of  the  particular  crime  conditions  which  exist  in  the 
communities  surrounding  the  Nation's  largest  cities. 

During  1987,  law  enforcement  agencies  active  in  the  UCR 
Program  represented  approximately  235  million  United 
States  inhabitants,  or  96  percent  of  the  total  population  as 
established  by  the  Bureau   of  the  Census.   The  coverage 


amounted  to  98  percent  of  the  United  States  population 
living  in  MSAs,  93  percent  of  the  population  in  "other 
cities,"  and  89  percent  of  the  rural  population. 

Although  most  law  enforcement  agencies  submit  crime 
reports  to  the  UCR  Program,  data  are  sometimes  not 
received  for  complete  annual  periods.  To  be  included  in  this 
publication's  Tables  'i,  7,  8,  and  9,  showing  specific 
jurisdictional  statistics,  figures  for  all  12  months  of  the 
current  year  must  have  been  received  at  the  FBI  prior  to 
established  publication  deadlines.  Other  tabular 
presentations  are  aggregated  as  set  forth  in  Appendix  I. 
Unless  consisting  of  estimates  for  the  total  United  States 
population,  each  table  in  this  pubhcation  shows  the  number 
of  agencies  reporting  and  the  extent  of  population  coverage. 

Population  Data 

Current  year  population  figures  for  the  Nation,  states, 
geographic  regions,  and  divisions  are  Bureau  of  the  Census 
provisional  estimates  as  of  July  1,  1987.  Using  these  figures 
along  with  the  1986  Bureau  of  the  Census  provisional 
estimates  for  all  cities  and  counties,  the  populations  of 
individual  jurisdictions  were  extrapolated  (see  Appendix 
III).  The  estimated  United  States  population  increase  in 
1987  was  approximately  1  percent  over  the  1986  estimate. 

Offense  Estimation 

Tables  1  through  5  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,  "other  cities,"  and  rural 
counties.  Using  the  known  crime  experiences  of  similar 
areas  within  a  state,  the  estimates  are  computed  by  assigning 
the  same  proportional  crime  volumes  to  nonreporting 
agencies. 

Unique  estimation  procedures  were  used  to  produce 
estimated  1985,  1986,  and  1987  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  subsequently  for  most  local  law 
enforcement  agencies  by  the  state-level  UCR  Program 
administered  by  the  Illinois  Department  of  State  Police  were 
not  in  accordance  with  national  UCR  guidelines.  Forcible 
rape  totals  are  not  shown  in  Tables  6,  7,  8,  9,  and  Appendix 
IV  which  present  individual  MSA,  city,  county,  and 
university/college  data.  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.  The  1985  and  1986 
estimates  have  been  updated  and  are  different  than  those  in 
previous  issues  of  this  book. 


Crime  Trends 

Showing  fluctuations  from  year  to  year,  trend  statistics 
offer  the  data  user  an  added  perspective  from  which  to  study 
crime.  Percent  change  tabulations  in  this  publication  are 
computed  only  for  reporting  units  which  have  provided 
comparable  data  for  the  periods  under  consideration. 
Exclusions  from  trend  computations  are  made  when  figures 
from  a  reporting  agency  are  not  received  for  comparable 
timeframes  or  when  it  is  ascertained  that  unusual 
fluctuations  are  due  to  such  variables  as  improved  records 
procedures,  annexations,  etc. 

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

Recent  Developments 

REDESIGN  OF  UCR— 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. 

The  conference  agenda  included  addresses  by  the  lACP 
and  NSA  UCR  Committee  Chairmen,  State  UCR  Program 
representatives,  FBI  executives,  and  the  Executive  Director 
of  the  lACP.  Workshops  offered  forums  for  lively 
exchanges  of  ideas  and  opinions  on  the  enhanced  Program's 
content  and  possible  output.  Computer  displays  in  an 
automation  workshop  acquainted  attendees  with  state-of- 
the-art  law  enforcement  records  software. 

During  the  conference,  the  Association  of  State  UCR 
Programs  overwhelmingly  passed  two  resolutions.  One 
encouraged  the  FBI  to  seek  the  participation  of  all  Federal 
law  enforcement  agencies  in  reporting  crime  through  the 
new  UCR  Program.  The  other  endorsed  the  efforts  of  the 
FBI  to  produce  a  final  version  of  the  revised  UCR  by  July  1, 
1988.  It  also  urged  the  Association  membership  to  go 
forward  with  implementation  in  their  states  at  a  pace 
commensurate  with  their  abilities  and  with  regard  to  the 
limitations  of  their  contributing  agencies.  The  FBI  supports 
these  resolutions,  and  in  fact,  disapproves  of  any  effort  to 
push  chiefs  or  sheriffs  toward  adoption  of  the  new  UCR 
Program  prior  to  their  acquisition  of  required  resources 
(personnel,  data  processing,  etc.). 


Three  overall  conference  endorsements  were  passed 
without  dissent.  First,  that  there  be  established  a  new, 
incident-based  national  crime  reporting  system;  second,  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  implementation  of  the 
new  Program. 

As  presented  at  the  conference,  the  enhanced  UCR 
Program  will  collect  data  on  each  single  incident  and  arrest 
within  24  crime  categories.  For  each  offense  known  to  police 
within  these  categories,  incident,  victim,  property,  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. 

ADVISORY  POLICY  BOARD— The  implementation  of 
an  expanded  and  enhanced  UCR  Program  will  result  in  a 
wealth  of  crime  data  never  before  available.  To  function  in 
an  advisory  capacity  concerning  UCR  policy  and  provide 
suggestions  on  uses  of  the  data  collected  under  the  enhanced 
UCR  Program,  law  enforcement  professional  organizations 
have  recommended  the  creation  of  an  Advisory  Policy 
Board  (APB).  The  FBI  supports  the  APB  concept  and  has 
formally  begun  the  process  to  obtain  approval  for  the 
creation  of  a  Board  comprised  of  executives  from  local  law 
enforcement  agency  data  contributors.  An  APB,  the  FBI 
believes,  will  serve  not  only  the  best  interests  of  law 
enforcement  but  the  American  public  as  well. 

LAW  ENFORCEMENT  OFFICERS  KILLED  AND 
ASSAULTED — In  connection  with  its  Law  Enforcement 
Officers  Killed  and  Assaulted  Program,  the  national  UCR 
staff  is  conducting  a  special  statistical  effort  to  study  officer 
homicides  in  much  greater  detail  than  ever  before.  With  the 
assistance  of  the  FBI's  Behavioral  Science  Unit  and  an 
outside  consultant,  the  staff  has  developed  a  protocol  from 
which  to  interview  offenders  convicted  of  having  killed  law 
enforcement  officers.  The  main  objective  of  the  interviews  is 
to  identify  any  measures  the  officers  could  have  taken  or 
avoided  that  would  have  saved  their  lives.  An  attempt  is  also 
being  made  to  identify  danger  signals  that  may  have  been 
exhibited  by  the  perpetrator.  The  protocol  has  been  tested, 
and  over  20  interviews  have  been  conducted.  When 
complete,  the  project's  data  should  lend  new  insight  to 
officer  survival  training  programs. 


CRIME  CLOCK 
1987 


one 
MURDER 

every  26  minutes 


one 
FORCIBLE  RAPE 

every  6  minutes 


one 
VIOLENT  CRIME 

every  21  seconds 


one 
CRIME  INDEX  OFFENSE 

every  2  seconds 


one 
ROBBERY 

every  minute 


one 
PROPERTY  CRIME 

every  3  seconds 


one 
AGGRAVATED  ASSAULT 

every  37  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  In- 
dex Offenses.  This  mode  of  display  should  not  be  taken  to  imply  a  regu- 
larity in  the  commission  of  the  Part  I  Offenses;  rather,  it  represents  the  an- 
nual ratio  of  crime  to  fixed  time  intervals. 


one 


MOTOR  VEHICLE  THEFT    I 

every  24  seconds 


I 


SECTION  II 
CRIME  INDEX  OFFENSES  REPORTED 

MURDER  AND  NONNEGLIGENT  MANSLAUGHTER 


DEFINITION 


Murder  and  nonnegligent  manslaughter,  as  defined  in  the  Uniform  Crime  Reporting 
Program,  is  the  willful  (nonnegligent)  killing  of  one  human  being  by  another. 

The  classification  of  this  offense,  as  for  all  other  Crime  Index  offenses,  is  based  solely 
on  police  investigation  as  opposed  to  the  determination  of  a  court,  medical  examiner, 
coroner,  jury,  or  other  judicial  body.  Not  included  in  the  count  for  this  offense 
classification  are  deaths  caused  by  negligence,  suicide,  or  accident;  justifiable 
homicides;  and  attempts  to  murder  or  assaults  to  murder,  which  are  scored  as 
aggravated  assaults. 


TnFNn 

Rate  per  100.000 

Year 

Number  of  offenses 

inhabitants 

1986  

20.613 

8.6 

7957 

20.096 

8.3 

Percent  change   

-2.5 

-3.5 

Volume 

The  estimated  number  of  murders  in  the  United  States 
totaled  20,096  during  1987,  representing  1  percent  of  the 
violent  crimes  committed.  More  persons  were  murdered 
during  December,  while  the  lowest  number  of  incidents  was 
recorded  in  April. 


MURDER  BY  MONTH,  1987 

Variation  from  Annual  Average 


Jan    Feb     Mar    Apr     May    Jun     Jul     Aug    Sep    Oct     Nov    Dec 


1987.  The  Northeast  and  Midwest  each  showed  upswings  of 
1  percent  for  the  2-year  period. 

The  accompanying  chart  reveals  a  4-percent  rise 
nationally  in  the  murder  counts  from  1983  to  1987.  The  10- 
year  trend  showed  the  1987  total  3  percent  above  the  1978 
level. 


MURDER 


Number  of  Offenses 
Known  Up  4% 

Rate  per  100,000 
Inhabitants  -  No 
Change 

1987 


Murder  by  Month,  1983-1987 

[Percent  of  annual  total] 


Months 


January 

February.. 

March 

April 

May 

June 

July 

August 

September . 
October 
November 
December  . 


1983 


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


1984 


8.3 
7.5 
8,1 
7.9 
8.0 
7.8 
8.6 
8.8 
8.7 
8.8 
8.6 
9.0 


1985 


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


1986 


7.7 
7.0 
8.3 
8.0 
8.2 
8.3 
9.4 
9.4 
9.1 
8.3 
8.0 
8.4 


1987 


7.7 
7.9 
8.2 
7,6 
8.6 
7.8 
8.6 
8.9 
8.3 
8.8 
8.3 
9.1 


Geographically,  the  Southern  States,  the  most  populous 
region,  accounted  for  42  percent  of  the  murders.  The 
Western  States  reported  21  percent;  the  Midwestern  States, 
20  percent;  and  the  Northeastern  States,  17  percent. 

Trend 

There  were  3  percent  fewer  murders  reported  nationwide 
in  1987  than  in  1986.  The  Nation's  cities  overall  experienced 
a  decrease  of  4  percent,  with  declines  ranging  from  12 
percent  in  those  with  populations  from  250,000  to  499,999 
to  1  percent  in  those  with  populations  of  1  million  or  more. 
Suburban  counties  recorded  no  change,  and  the  rural 
counties  registered  a  4-percent  increase. 

Viewed  regionally,  the  murder  counts  declined  4  and  6 
percent  in  the  South  and  West,  respectively,  from  1986  to 


Rate 

Down  3  percent  from  1986,  the  1987  United  States 
murder  rate  was  8  per  100,000  inhabitants.  On  a  regional 
basis,  the  Southern  States  averaged  10  murders  per  100,000 
people;  the  Western  States,  9  per  100,000;  and  both  the 
Northeastern  and  Midwestern  States,  7  per  100,000.  Rate 
decreases  were  seen  in  two  of  the  four  regions,  1986  versus 
1987.  The  murder  rate  in  the  West  was  down  8  percent  and 
in  the  South,  6  percent.  The  Northeast  and  Midwest 
recorded  increases  of  1  and  2  percent,  respectively. 

The  Nation's  metropolitan  areas  reported  a  1987  murder 
rate  of  9  victims  per  100,000  inhabitants.  In  the  rural 
counties,  the  rate  was  6  per  100,000,  and  in  the  cities  outside 
metropolitan  areas,  it  was  5  per  100,000. 

Nature 

Supplemental  data  provided  by  contributing  agencies 
recorded  information  for  17,859  of  the  estimated  20,096 
murders  in  1987.  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,  74  percent  of  the  murder 
victims  in  1987  were  males.  Ninety  percent  were  persons  18 
years  of  age  or  older,  with  49  percent  aged  20  through  34 
years.  Considering  victims  for  whom  race  was  known,  an 
average  of  53  of  every  100  were  white,  45  were  black,  and 
the  remainder  were  persons  of  other  races. 


Age,  Sex,  and  Race  of  Murder  Victims,  1987 


Total 

Sex 

Race 

Age 

Male 

Female 

Unknown 

White 

Black 

Other 

Unknown 

Total                                

17.859 
100.0 

13.165 
73.7 

4,676 
26.2 

18 
.1 

9.355 
52.4 

7,995 
44.8 

376 
2.1 

133 

.7 

Under  18'              

1.516 
16.010 

959 
11.968 

556 
4,040 

1 

2 

756 
8.434 

715 
7,165 

31 
336 

14 

18  and  over'                           

75 

232 

303 

119 

205 

1,539 

2.936 

3.143 

2,443 

1,816 

1.234 

838 

625 

518 

427 

344 

294 

510 

333 

134 

146 

60 

117 

1.205 

2.289 

2,370 

1,843 

1,390 

929 

645 

481 

387 

301 

220 

172 

238 

238 

98 
157 

58 

88 
334 
647 
773 
599 
425 
305 
193 
144 
131 
126 
124 
122 
272 

80 

141 

170 

67 

108 

654 

1.348 

1.557 

1,224 

990 

689 

508 

355 

304 

283 

223 

193 

376 

165 

79 
125 

43 

92 

854 

1,510 

1,514 

1,155 

780 

503 

305 

248 

200 

135 

114 

98 
125 
115 

8 

7 

6 

2 

24 

70 

60 

48 

37 

35 

20 

14 

12 

7 

6 

3 

8 

9 

4 

1 

5  to  9                    

I 

3 

3 

15  to  19 

7 

20  to  24 

8 

12 

30  to  34                          

! 
1 

16 

35  to  39                         

9 

40  to  44                                   

7 

45  to  49         

5 

50  to  54     

8 

55  to  59                                  

60  to  64                                   

2 
2 

65  to  69   

1 

1 

15 

44 

'Does  not  include  unknown  ages. 


Data  based  on  incidents  involving  one  victim  and  one 
offender  showed  that  in  1987,  94  percent  of  the  black 
murder  victims  were  slain  by  black  offenders,  and  88 
percent  of  the  white  murder  victims  were  killed  by  white 


offenders.  Likewise,  males  were  most  often  slain  by  males 
(84  percent  in  single  victim/single  offender  situations). 
These  same  data  showed,  however,  that  9  of  every  10  female 
victims  were  murdered  by  males. 


Victim/Offender  Relationship  by  Race  and  Sex,  1987 

[Single  victim/single  olTender] 


Victim 

Total 

victims/ 
offenders 

Offender 

Race 

Sex 

White 

Black 

Other 

Unknown 

Male 

Female 

Unknown 

White   

Race 

5,268 

4,719 

195 

46 

4.605 

285 

52 

15 

571 

4,410 

25 

10 

52 

9 

115 

1 

40 

15 

3 

20 

4,659 

3,875 

168 

23 

569 
829 

24 
3 

40 

Black          

15 

Other                                 

3 

Unknown       

20 

Male 

Sex 

7,431 

2,751 

46 

3,418 
1,524 

15 

3,851 

1,155 

10 

125 

51 

1 

37 
21 
20 

6,215 

2,487 

23 

1,179 

243 

3 

37 

21 

20 

Totals 

10,228 

4,957 

5,016 

177 

78 

8,725 

1,425 

78 

Firearms,  as  in  previous  years,  were  the  weapons  used  in 
approximately  3  of  every  5  murders  committed  in  the 
United  States.  Of  all  murders,  44  percent  were  by  handguns; 
6  percent  by  shotguns;  and  4  percent  by  rifles.  Other  or 
unknown  types  of  firearms  accounted  for  another  5  percent 
of  the  total  murders. 

Among  the  remaining  weapons,  cutting  or  stabbing 
instruments  were  employed  in  20  percent  of  the  murders; 
blunt  objects  (clubs,  hammers,  etc.)  in  6  percent;  and  other 
dangerous  weapons,  such  as  poison,  explosives,  etc.,  in  8 
percent.  Personal  weapons  (hands,  fists,  feet,  etc.)  were 
employed  in  7  percent. 

Murder,  Type  of  Weapons  Used,  1987 

[Percent  distnbution  by  region] 


Murder  Victims,  Type  of  Weapons  Used,  1983-1987 


Weapon 


Total 


Region 

Total 

all 

weapons' 

Firearms 

Cutting 

or 
stabbing 
instru- 
ments 

Unknown 
or  other 
danger- 
ous wea- 
pons 

Personal 
weapons 

Total      ... 

100.0 

59.1 

20.3 

14.1 

6.5 

Northeastern  States 
Midwestern  States 
Southern  States 

100.0 
1000 
100.0 
100.0 

548 
57.7 
62.9 
56.4 

22.4 
19.4 
19.3 
21.0 

136 
16.6 
13.0 
14.7 

9.2 
6.3 
4.7 
7.9 

Total  Firearms    

Handguns  

Rifles   

Shotguns    

Other  guns  

Firearms-not  stated 
Cutting  or  stabbing 

instruments 
Blunt  objects  (clubs, 

hammers,  etc.) 
Personal  weapons  (hands, 

fists,  feet,  etc.)'    

Poison    

Explosives   

Fire   

Narcotics    

Drowning     

Strangulation    

Asphyxiation  

Other  weapons  or  weapons 

not  stated 


1983 


18,673 


10,895 

8,193 

831 

1,243 

19 

609 

4.075 

1.062 

1,280 

20 

5 

216 

17 

40 

376 

123 

564 


1984 


17,260 


10.175 

7,557 

785 

1,194 

19 

620 

3,653 

1,007 

1,134 

6 

8 

196 

20 

47 

322 

113 

579 


1985 


17,545 


10,296 

7,548 

810 

1,188 

24 

726 

3,694 

972 

1,180 

7 

II 

243 

31 

43 

311 

115 

642 


1986 


19,257 


11,381 

8,460 

788 

1,296 

22 

815 

3,957 

1,099 

1,310 

14 

16 

230 

23 

49 

341 

160 

677 


1987 


17.859 


10,556 

7,807 

772 

1.095 

16 

866 

3,619 

1,039 

1,162 

34 

12 

199 

24 

51 

357 

115 

691 


Pushed  is  included  in  personal  weapons. 


'Because  of  rounding,  percentages  may  not  add  to  totals. 
Murder  Victims  —  Weapons  Used,  1987 


Total 

Weapons 

Age 

Fire- 
arms 

Cutting  or 

stabbing 
instruments 

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

Personal' 

weapons 

(hands, 

fists,  feet. 

etc.) 

Poison 

Explosives 

Fire 

Narcotics 

Strangu- 
lation 

Asphyxia- 
tion 

Other 

weapons  or 

weapons 

not  stated 

Total 

Percent 
distnbution   

17,859 
100.0 

10,556 
59.1 

3,619 
20.3 

1,039 
5.8 

1,162 
6.5 

34 
.2 

12 

1 

199 
1.1 

24 
.1 

357 
2.0 

115 
.6 

742 
4.2 

Under  18" 

18  and  over'    

Infant  (under  1) 
1   lo  4 

1,516 
16,010 

232 

303 

119 

205 

1,539 

2,936 

3,143 

2,443 

1,816 

1,234 

838 

625 

518 

427 

344 

294 

510 

333 

662 
9,736 

7 

31 

41 

126 

1,065 

1,998 

1,998 

1,581 

1,137 

744 

503 

331 

260 

197 

143 

100 

136 

158 

191 
3,358 

8 

19 

18 

26 

282 

564 

644 

525 

371 

268 

183 

144 

135 

93 

82 

84 

103 

70 

7b 
938 

9 

27 

7 

12 

50 

110 

142 

116 

104 

64 

56 

65 

46 

44 

39 

36 

87 

25 

297 
847 

107 
141 
21 
10 
53 
94 
154 
98 
89 
59 
38 
38 
39 
47 
32 
38 
86 
18 

3 
31 

2 
1 

3 
1 

1 
2 

4 

7 
2 

11 

4 
8 

1 
3 

54 
142 

8 

30 

8 

6 

9 

20 

21 

12 

12 

13 

12 

13 

8 

5 

6 

3 

10 
3 

2 
21 

2 

3 
4 
4 

2 

2 

41 
305 

4 

6 

6 

14 

31 

55 

44 

36 

32 

25 

18 

9 

10 

12 

13 

9 

22 

11 

47 
66 

23 
17 
2 
2 
5 
9 
7 
6 
4 
9 
1 
2 
2 
7 
1 
3 

13 
2 

139 

558 

66 
29 

5  to  9         

12 

10  to  14    

9 

15  to  19 

42 

20  to  24 

83 

25  to  29 

126 

30  to  34 
35  to  39 

1 
2 

1 
1 

1 

2 

63 
63 

40  to  44 
45  to  49 

50  to  54    

55  to  59 

49 
23 
23 
17 

60  to  64    

65  to  69 

17 
19 

70  to  74      

17 

39 

Unknown       

45 

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


10 


Supporting  the  philosophy  that  murder  is  primarily  a 
societal  problem  over  which  law  enforcement  has  little  or  no 
control  is  the  fact  that  nearly  3  of  every  5  murder  victims  in 
1987  were  related  to  (17  percent)  or  acquainted  with  (40 
percent)  their  assailants.  Among  all  female  murder  victims 
in  1987,  29  percent  were  slain  by  husbands  or  boyfriends. 
Six  percent  of  the  male  victims  were  killed  by  wives  or 
girlfriends. 


Arguments  resulted  in  37  percent  of  the  murders  during 
the  year.  Twenty  percent  occurred  as  a  result  of  felonious 
activities  such  as  robbery,  arson,  etc.,  while  another  1 
percent  were  suspected  to  have  been  the  result  of  some 
felonious  activity.  Three  percent  of  the  murders  were 
committed  during  brawls  while  offenders  were  under  the 
influence  of  alcohol  or  narcotics.  The  table  on  the  following 
page  shows  murder  circumstances  for  the  past  5  years. 


Murder  Circumstances  by  Relationship,  1987 

[Percent  dislnbulion] 


Victim 


Total 


Felotiy 
type 


Suspected 
felony  type 


Romantic 
triangle 


Argument 
over  money 
or  property 


Other 
arguments 


Miscellaneous 

non-felony 

type 


Unable  to 
determine 


Total'    

Husband 

Wife     

Mother      

Father    

Daughter 

Son       

Brother       

Sister  

Other  family    

Acquaintances    

Friend     

Boyfriend  

Girlfriend    

Neighbor    

Stranger  

Unknown  relationship 


100.0 


100.0 


100.0 


100.0 


100.0 


100.0 


100.0 


2.7 

5-2 

.6 

.9 

1  3 

1.7 

1.1 

.3 

2.7 

30.0 

5.3 

1.4 

2.3 

1.4 

13,2 

29.6 


.3 

.3 

.1 

.3 

7 

1.0 

.3 

.2 

1.3 

29.6 

4.0 

.2 

.3 

1,4 

30.9 

29,0 


1.7 
8.5 


1.7 
2.8 
1,3 
2,1 


.5 
10.9 
3.5 


11.4 

73,3 


6 

1.4 

51.5 

11.8 

2,8 

6,3 

6 

10,7 

3,3 


.6 

3,8 

,2 

4.9 

46.7 

17,4 

1.5 

.4 

3.6 

7.2 

5.7 


6.1 
8.7 

,8 
1.5 

.6 
1.1 
2.2 

,3 
4,4 
41.3 
7,4 
3,4 
4.6 
2.0 
9,2 
6.4 


2.5 

9.5 

1.3 

1.4 

5.0 

6.2 

.8 

.5 

3.4 

32.9 

6.0 

1.0 

2,5 

1.5 

14.0 

11,6 


100,0 


IS 
,4 
.3 
.5 
.3 
.5 
,1 

1.0 
11,2 

1,5 
.2 
.9 
.4 

4.8 
75.5 


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


Murder  Circumstances  by  Weapons,  1987 


Weapons 

Total 

Felony  type 

Suspected 
felony  type 

Romantic 
mangle 

Argument 
over  money 
or  property 

Other 
arguments 

Miscellaneous 

non-felony 

type 

Unable  to 
determine 

Total             

17,859 

3,506 

202 

363 

471 

5,719 

3,154 

4,444 

Firearms    

Cutting  or 

stabbmg  mstruments 
Blunt  objects 

(clubs,  hammers,  etc) 
Personal  weapons 

(hands,  fists,  feel,  etc,)' 

10,556 

3,619 

1,039 

1,162 

34 

12 

199 

24 

51 

357 

115 

691 

1,934 

614 

271 

267 

6 

148 

10 

8 

106 

29 

113 

92 
30 
21 

21 

253 

83 

10 

9 
1 

313 
93 
35 
20 

3,540 

1,501 

258 

279 

15 

49 
6 

66 

1,920 

452 

165 

320 
28 
1 
15 
8 
28 
59 
52 

106 

2,504 

846 

279 

246 
4 

Explosives 
Fire 

1 
2 
1 
1 
11 
1 

21 

3 

1 
3 
3 

1 

17 
4 

12 

3 
2 

4 

126 

25 

Other  weapons 
or  weapons  not  stated          

378 

'Pushed  Is  included  in  personal  weapons. 


11 


Murder  Circumstences,  1983-1987 

(Percent  distnbution] 


Total  

Percent'    

Felony  total:    

Robbery  

Narcotics   

Sex  offenses  

Arson    

Other  felony    

Suspected  felony    . . 

Argument  total:   

Romantic  tnangle 
Property  or  money 
Other  arguments 

Miscellaneous 
non-felony  lypcs^ 

Unknown    


1983 


18,673 
100.0 


18.0 

10.6 

2.0 

1.6 

.8 

3,1 

3.2 

39.6 
2.6 
2.8 

34.1 


18.3 
20.9 


1984 


17.260 
100.0 


18.1 
9.3 
2.7 
16 
1.0 
3.5 

2.4 

39.8 
2.4 
2.7 

34.8 


17.4 
22.3 


1985 


17,545 
100,0 


17.9 
9.2 
2.9 
1.5 
1,2 
3,1 

2.0 

39.3 
2.3 
2.7 

34.3 


18.1 
22.8 


1986 


19.257 
100.0 


19.4 
9.5 
3.9 
1.5 
1.0 
3.4 

2.0 

37.5 
2.1 
2.4 

32.9 


18.6 
22.5 


1987 


17.859 
100.0 


19.6 

9.4 

4.9 

.3 

.9 

4.1 

11 

36.7 
2.0 
2.6 

32.0 


17.7 
24.9 


'Because  of  rounding,  percentages  may  not  add  to  totals. 
^Includes  murders  committed  dunng  brawls  while  offender  was  under  the 
influence  of  alcohol  and/or  narcotics. 

Clearances 

Murder  continued  to  have  a  higher  clearance  rate  than 
any  other  Crime  Index  offense.  Law  enforcement  agencies 
nationwide,  as  well  as  in  the  cities,  cleared  70  percent  of  the 
murders  occurring  in  their  jurisdictions  during  1987,  Cities 
under  10,000  in  population  reported  the  most  successful 
clearance  rate,  76  percent.  Seventy-five  percent  of  murders 
in  rural  counties  and  68  percent  of  those  in  suburban 
counties  were  cleared. 


Regionally,  the  murder  clearance  rate  was  highest  in  the 
Southern  States,  72  percent.  Following  were  the  North- 
eastern States  and  Midwestern  States  with  69  percent  each 
and  the  Western  States  with  68  percent. 

Persons  under  1 8  years  of  age  were  involved  in  murder 
less  often  than  in  any  other  offense  in  1987.  They  accounted 
for  5  percent  of  the  willful  killings  cleared  by  law 
enforcement  nationally,  as  well  as  in  cities.  Six  percent  of 
the  suburban  county  and  7  percent  of  the  rural  county 
clearances  involved  only  persons  in  this  young-age  group. 

Persons  Arrested 

Murder  arrests  overall  decreased  1  percent  in  1987  from 
the  1986  volume.  Arrests  of  persons  aged  18  and  over 
declined  1  percent,  while  those  of  younger  persons  increased 
6  percent.  During  the  same  2-year  period,  male  arrests 
decreased  1  percent  and  female  arrests  were  up  1  percent. 

Of  all  murder  arrestees  in  1987,  44  percent  were  under  25 
years  of  age,  with  10  percent  of  the  total  being  17  or 
younger.  The  18-  to  24-year  age  group  showed  the  greatest 
involvement  in  this  offense,  accounting  for  34  percent  of  the 
total  1987  murder  arrests. 

Whites  comprised  46  percent  of  the  total  arrestees  for 
murder  in  1987.  Blacks  made  up  52  percent,  and  the 
remainder  were  of  other  races. 

Long-term  trends  indicate  the  1987  murder  arrest  total 
was  3  percent  below  the  1983  level  but  4  percent  ab  ve  the 
1978  figure. 


12 


FORCIBLE  RAPE 
_  DEnNITION  _ 


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. 


TWFlMn 

Rate  per  100,000 

Year 

Number  of  offenses 

inhabitants 

1986  

91,459 

37.9 

1987  

91.111 

37.4 

Percent  change   

-   .4 

-1.3 

13 


Volume 

During  1987,  there  were  an  estimated  91,111  forcible 
rapes  in  the  Nation.  The  rape  total  comprised  1  percent  ot 
the  Crime  Index  offenses  and  6  percent  of  the  violent 
crimes.  Geographically,  the  Southern  States,  the  region  with 
the  largest  population,  accounted  for  36  percent  of  the 
forcible  rapes  reported  to  law  enforcement.  Following  were 
the  Midwest  with  24  percent,  the  West  with  23  percent,  and 
the  Northeast  with   16  percent. 

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


FORCIBLE  HAPE  BY  UONTH,  19S7 

Vanation  Irom  Annual  Average 


Forcible  Rape  by  Month,  1983-1987 

[Percent  of  annual  total] 


Months 


January.... 
February.. 

March 

April 

May 

June 

July 

August 

September 

October 

November 

Decemtwr 


1983 


7.3 
6,9 
7,6 
7,9 
8,5 
8,8 
9,9 
10,4 
9,1 
8,7 
7,7 
7.1 


1984 


7,1 
7,1 
7.6 
7,7 
8,6 
8,9 
9,9 
10,2 
9,1 
9,0 
7,2 
7.5 


1985 


7,2 
6,6 
8,2 
8,3 
8.9 
9.0 
10.1 
9.9 
8,8 
8,5 
7.7 
6.9 


1986 


7,1 
6.7 
7,9 
8,1 
8.8 
9.2 
9.8 
10.2 
9.1 
8.4 
7.8 
7.0 


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 


Trend 

Compared  to  the  previous  year,  the  1987  forcible  rape 
volume  decreased  less  than  1  percent  nationwide  and  in  the 
cities  collectively.  Rural  counties  recorded  a  decrease  of  1 
percent,  while  the  suburban  area  agencies  registered  an 
increase  of  2  percent.  City  trends  ranged  from  a  4-percent 
decline  to  a  7-percent  increase. 

Among  the  geographic  regions,  the  Northeastern  States 
recorded  a  4-percent  increase;  the  Midwestern  States,  a  less 
than  1 -percent  rise;  the  Southern  States,  a  2-percent  decline; 
and  the  Western  States,  a  1 -percent  drop. 


National  trends  for  5  and  10  years  show  that  the  forcible 
rape  total  rose  11  percent  over  1983  and  21  percent  above 

1978. 


FORCIBLE  RAPE 


■*-  Number  of  Offenses 
Known  Up  15% 

-»-  Rate  pen  00,000 
Inhabitants  Up  11% 


1987 


Rate 

By  Uniform  Crime  Reporting  definition,  the  victims  of 
forcible  rape  are  always  female.  In  1987,  an  estimated  73  of 
every  100,000  females  in  the  country  were  reported  rape 
victims,  a  decrease  of  1  percent  from  the  1986  rate.  Since 
1983,  the  female  forcible  rape  rate  has  risen   11  percent. 

Female  forcible  rape  rates  for  1987  showed  there  were  83 
victims  per  100,000  females  in  MS  As,  47  per  100,000 
females  in  cities  outside  metropolitan  areas,  and  36  per 
100,000  females  in  rural  counties. 

Regionally,  the  highest  female  rape  rate  was  in  the 
Western  States,  which  recorded  83  victims  per  100,000 
females.  Following  were  the  Southern  States  with  a  rate  of 
76,  the  Midwestern  States  with  72,  and  the  Northeastern 
States  with  57. 

Nature 

Of  all  reported  forcible  rapes  during  1987,  81  percent 
were  rapes  by  force.  The  remainder  were  attempts  or 
assaults  to  commit  forcible  rape.  An  increase  of  less  than  1 
percent  was  registered  in  the  number  of  rapes  by  force, 
while  attempts  to  commit  rape  decreased  2  percent  from  the 
1986  figures. 

Clearances 

Nationwide  in  1987,  53  percent  of  the  forcible  rapes 
reported  to  law  enforcement  were  cleared  by  arrest  or 
exceptional  means.  Rural  county  agencies  cleared  57 
percent  of  the  offenses  brought  to  their  attention,  while 
suburban  county  agencies  and  those  in  cities  cleared  54 
percent  and  52  percent,  respectively. 

Clearance  rates  for  the  regions  ranged  from  45  percent  in 
the  Midwestern  States  to  57  percent  in  the  Southern  States. 
In  the  Northeastern  States,  the  clearance  rate  for  forcible 
rape  was  56  percent,  and  in  the  Western  States,  it  was  51 
percent. 


14 


In  the  country  as  a  whole,  the  Nation's  cities,  and  the 
suburban  counties,  9  percent  of  the  forcible  rape  clearances 
involved  only  persons  under  the  age  of  18.  Rural  counties 
recorded  a  13-percent  involvement  of  this  age  group. 

Persons  Arrested 

From  1986  to  1987,  forcible  rape  arrests  decreased  2 
percent  nationwide,  as  well  as  in  the  rural  counties.  Arrests 
for  this  offense  declined  5  percent  in  the  suburban  counties 
and  were  down  1  percent  in  the  Nation's  cities.  For  the  5- 


year  period,  1983  to  1987,  increases  of  9  percent  were 
recorded  for  the  total  forcible  rape  arrests,  8  percent  for 
those  of  adults,  and  15  percent  for  arrests  of  persons  under 
18  years  of  age. 

Of  the  forcible  rape  arrestees  in  1987,  45  percent  were 
persons  under  the  age  of  25,  with  29  percent  of  the  total 
being  in  the  18-  to  24-year  age  group.  Fifty  percent  of  those 
arrested  were  white,  48  percent  were  black,  and  all  other 
races  comprised  the  remainder. 


15 


ROBBERY 
DEFINITION 


Robbery  is  the  taking  or  attempting  to  take  anything  of  value  from  the  care,  custody, 
or  control  of  a  person  or  persons  by  force  or  threat  of  force  or  violence  and/or  by 
putting  the  victim  in  fear. 


TRFNn 

Rate  per  100,000 

Year 

Number  of  offenses 

inhabitants 

1986  

542. 775 

225.1 

7957  

517,704 

212.7 

Percent  change    

-4.6 

-5.5 

16 


Volume 

Accounting  for  4  percent  of  all  Index  crimes  and  35 
percent  of  violent  crimes,  the  estimated  robbery  total  in 
1987  was  517,704.  During  the  year,  robberies  occurred  most 
frequently  in  December  and  least  often  in  April  and  May. 

Regionally,  the  most  populous  Southern  States  registered 
31  percent  of  all  reported  robberies.  Following  were  the 
Northeastern  States  with  28  percent,  the  Western  States 
with  21  percent,  and  the  Midwestern  States  with  20  percent. 


ROBBERY  BY  MONTH,  1907 

Variation  from  Annual  Average 


-10     -10 
Jan    Feb    Mar   Apr    May    Jun     Jul    Aug    Sep    Oct    Nov    Dec 


Robbery  by  Month,  1983-1987 

[Percent  of  annual  total] 


Months 


January 
February.. 

March 

April 

May 

June 

July 

August 

September 
October... 
November 
December 


1983 


9.5 
8.1 
8.3 
7.6 
7.4 
7.4 
7.9 
8.6 
8.4 


9.2 


1984 


8.9 
8.2 
8.1 
7.6 
7.6 
7.5 
7.9 
8.5 
8.2 
90 
8.6 
99 


1985 


8.6 
7.4 
7.9 
7.3 
7.5 
7.7 
8.6 
8.9 
8.4 
9.1 
8.8 
9.7 


1986 


8.7 
7.7 
8.2 
7.6 
7.7 
8.0 
8.4 
9.3 
8.6 
8.7 
83 
9.0 


1987 


8.9 
8.1 


Trend 

Downward  trends  in  robbery  were  evident  nationwide 
and  throughout  all  population  groups  in  1987.  Nationally, 
in  cities,  and  in  rural  counties  the  decline  was  5  percent, 


while  in  the  suburban  counties,  it  was  4  percent.  Of  all 
population  groups,  cities  with  populations  of  500,000  to 
999,999  registered  the  greatest  decrease,  8  percent. 

Two-year  regional  trends  show  the  number  of  robberies 
were  down  in  all  regions.  The  decreases  were  9  percent  in 
the  West;  4  percent  in  the  Northeast;  and  3  percent  in  both 
the  Midwest  and  South. 

The  accompanying  chart  depicts  the  trend  in  the  robbery 
volume,  as  well  as  the  robbery  rate,  for  the  years  1983-1987. 
In  1987,  the  number  of  robbery  offenses  was  2  percent 
higher  than  in  1983  and  21  percent  above  the  1978  total. 


8  r 


ROBBERY 


Number  of  Offenses 
Known  Up  2% 

Rate  per  100,000 
Inhabitants  Down  2% 


1987 


Rate 

The  national  robbery  rate  in  1987  was  213  per  100,000 
people,  a  decrease  of  6  percent  from  the  1986  rate.  In 
metropolitan  areas,  the  robbery  rate  was  269;  in  cities 
outside  metropolitan  areas,  it  was  50;  and  in  the  rural  areas, 
it  was  15.  With  900  robberies  per  100,000  inhabitants,  the 
highest  rate  was  recorded  in  cities  with  populations  over  1 
million. 

Robbery  rates  declined  in  all  regions  during  1987.  The 
Midwest's  rate  of  173  per  100,000  population  was  down  3 
percent;  the  South's  rate  of  192  was  4  percent  lower;  the 
Northeast's  rate  of  284  was  down  5  percent;  and  the  West's 
rate  of  223  represented  an  11 -percent  decrease. 


17 


Nature 

In  1987,  a  total  estimated  national  loss  of  $327  million 
was  due  to  robberies.  The  value  of  property  stolen  during 
robberies  averaged  $631  per  incident.  Average  dollar  losses 
ranged  from  $292  taken  during  robberies  of  convenience 
stores  to  $3,013  per  bank  robbery.  The  impact  of  this  violent 
crime  on  its  victims  cannot  be  measured  in  terms  of 
monetary  loss  alone.  While  the  object  of  a  robbery  is  to 
obtain  money  or  property,  the  crime  always  involves  force 
or  threat  of  force,  and  many  victims  suffer  serious  personal 
injury. 

As  in  previous  years,  robberies  on  streets  or  highways 
accounted  for  more  than  half  (54  percent)  of  the  offenses  in 
this  category.  Robberies  of  commercial  and  financial 
establishments  accounted  for  an  additional  23  percent,  and 
those  occurring  at  residences,  10  percent.  The  remainder 
were  miscellaneous  types. 

Robbery,  Percent  Distribution,  1987 

[By  population  group] 


Robbery,  Percent  Distribution, 

[By  region] 


1987 


United 
States 
Total 

North- 
eastern 
States 

Mid- 
western 
States 

Southern 
States 

Western 
Stales 

Total' 

100.0 

1000 

100.0 

100.0 

100.0 

Street/highway   .          .    . 
Commercial  house 
Gas  or  service  station 

Convenience  store 

Residence        

54.4 

12.7 
3.0 
5.6 

10.4 
1.4 

12.4 

64.1 

7.4 
2.3 
2.0 

11.9 
.8 

11.5 

57.0 

10  1 
3.7 
3.8 

10.4 
.8 

14.2 

48.3 

16.7 
3,3 
9.5 

10.2 
1.4 

10.6 

49.3 
15.6 
3.0 
6.1 
9.0 

Bank         

2.7 

14.3 

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


Group  1  (59 

cities.  250.000 

and  over; 

population 

43.180.000) 

Group  II  (123 
cities,   100.000  to 
249,999;  popula- 
tion  18,007.000) 

Group  III  (312 
cities,  50,000  to 
99.999;  popula- 
tion 21.268.000) 

Group  IV  (654 
cities.  25,000  to 
49,999;  popula- 
tion 22,422.000) 

Group  V  (1,606 
cities,   10,000  to 
24.999;  popula- 
tion 25.267,000) 

Group  VI  (6,269 
cities  under 
10,000;  popula- 
tion 22.484,000) 

County 

agencies 

(4.126  agencies; 

population 

72,424,000) 

Total'                 

100.0 

100.0 

100,0 

100.0 

100,0 

100.0 

lOO.O 

Street/highway 
Commercial  house 
Gas  or  sei^ice  station 
Convenience  store 

Residence     

Bank               

61.2 

10.0 
2.0 
3.7 

10.6 
,9 

11.7 

53.5 
14.1 
3.5 
7.1 
9.9 
2.0 
10.0 

49.0 
16.0 
4.0 

7.2 
9.2 
2,0 
12.5 

42.5 

17,6 
4.6 
8.0 

10.0 
2.2 

15.2 

34,6 
18-7 

66 
107 
10.4 

2.3 
16.8 

27.4 
19.9 

5.8 
12-1 
12.5 

2,6 
19.7 

37.7 
18.6 

5.5 
10.3 
10.8 

2.2 

14.7 

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

Robbery  by  type  for  1986-1987  showed  bank  robberies 
were  up  6  percent  and  convenience  store  robberies  increased 
1  percent.  Decreases  during  this  2-year  period  were  seen  for 
street/highway  robberies,  down  7  percent;  both  residential 
and  gas  or  service  station  robberies  dropped  5  percent;  and 
robberies  of  commercial  houses  decreased  2  percent. 

Forty-four  percent  of  all  robberies  in  1987  were 
committed  through  the  use  of  strong-arm  tactics.  Firearms 
were  used  in  33  percent,  knives  or  cutting  instruments  in  13 
percent,  and  other  weapons  in  the  remaining  10  percent.  A 
comparison  of  1986  and  1987  robbery  totals  by  weapon 
showed  those  by  firearms  down  8  percent;  those  by  knives 
or  cutting  instruments  down  5  percent;  and  both  strong- 
armed  robberies  and  those  by  other  dangerous  weapons 
down  3  percent. 


Robbery,  Type  of  Weapons  Used,  1987 


[Percent  distribution  by  region] 


Total 

all 

weapons' 

Armed 

Region 

Fire- 
arms 

Knives  or 
cutting 
instru- 
ments 

Other 
weapons 

Strong- 
armed 

Total 

100.0 

33.0 

13.5 

9.9 

43.5 

Northeastern  Stales 
Midwestern  Stales 
Southern  States 
Western  States 

100.0 
100.0 
100.0 
100.0 

25.3 
32.6 
39.7 
33.8 

17,0 
10.9 
11.6 
14.2 

12.0 
10.9 
8.8 
8.1 

45.6 
45.7 
40.0 
43.8 

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


18 


10 
8 

STREET  ROBBERY 

UP  3% 

N 

6  ■ 

\ 

4  ■ 

/ 

\ 

2  ■ 

/ 

-2  ■ 

^ 

^^ 

-4  ■ 
19 

33 

1984                1985 

1986 

1987 

20 

r             ROBBERY  OF 

15 

COMMERCIAL  HOUSE 
UP  16% 

/ 

^^ 

10 

5 

0 
-5 

^^-^ 

1983                1984                1985 

1986 

1987 

7  1 
6  ■ 

ROBBERY  OF  GAS 

STATION                ^ 

K 

5 

UP  2%             i 

^ 

\ 

4  ■ 

/ 

\ 

3  ■ 

/ 

\ 

2 

/ 

] 

1  • 
n  . 

/ 

-1  ■ 
19 

33                1984                1985 

1986 

1987 

1983               1984               1985               1986               1987 

n 

1 

-2 

\ 

^^^^ 

-4 

\ 

^^ 

-6 

\ 

J 

\^ 

-8 

\ 

/ 

-10 

\ 

/         ROBBERY  OF 

-12 

\ 

/    CONVENIENCE  STORE 

-14 

\ 

/                   DOWN  .1% 

-16  \ 

1983 

n 

1984 

1985 

1986                 1987 

-1 

/\ 

-2 

/         \ 

-3 

/                 \ 

-4 

\ 

/                        \ 

-5 
-6 
-7 

\ 

/ 

/  ROBBERY  OF 
RESIDENCE 

-8 
-9 

"^ 

"\ 

\/ 

DOWN  5% 

1987 


19 


Clearances 

Twenty-seven  percent  of  the  robbery  offenses  reported  to 
law  enforcement  were  cleared  during  1987.  The  highest 
robbery  clearance  rate — 37  percent — was  registered  by  rural 
law  enforcement  agencies.  Suburban  county  agencies 
cleared  28  percent  and  those  in  cities,  26  percent.  Regional 
robbery  c'e^fance  percentages  were  28  percent  in  both  the 
South  and  West,  26  percent  in  the  Northeast,  and  22 
percent  in  the  Midwest. 

Nationally,  as  well  as  for  city  and  suburban  county  law 
enforcement  agencies,  persons  under  the  age  of  18  were  the 
offenders  in  10  percent  of  all  1987  robbery  clearances.  This 
age  group  accounted  for  7  percent  of  the  rural  county 
clearances. 


Persons  Arrested 

Arrests  for  robbery  declined  4  percent  nationwide  in  1987 
when  compared  to  1986.  Decreases  were  also  experienced  in 
cities  and  the  suburban  counties,  3  and  16  percent, 
respectively.  The  rural  counties,  however,  showed  an 
increase  of  7  percent  in  the  number  of  persons  arrested  for 
this  offense. 

Sixty-one  percent  of  all  robbery  arrestees  in  1987  were 
under  25  years  of  age,  and  92  percent  were  males.  Sixty- 
three  percent  of  those  arrested  were  black,  36  percent  were 
white,  and  the  remainder  were  of  other  races. 

The  total  number  of  robbery  arrests  decreased  4  percent 
during  the  5-year  period,  1983-1987.  For  the  same  timespan, 
arrests  of  males  for  robbery  declined  5  percent,  while  female 
arrests  rose  6  percent.  Juvenile  arrests  were  down  19 
percent,  while  those  of  persons  18  years  of  age  and  older 
were  up  2  percent. 


20 


AGGRAVATED  ASSAULT 


DEFINITION 


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


TREND 


Year  Number  of  offenses 

1986  834.322 

1987  855,088 

Percent  change  +  2.5 


Rate  per  100,000 

inhabitants 

346.1 

351.3 
+  1.5 


21 


Volume 

Totaling  an  estimated  855,088  offenses  nationally, 
aggravated  assaults  in  1987  occurred  most  frequently  in  the 
summer  months.  Geographic  distribution  figures  show  that 
36  percent  of  the  aggravated  assault  volume  was  accounted 
for  by  the  Southern  States,  26  percent  by  the  Western  States, 
20  percent  by  the  Midwestern  States,  and  the  remainder  by 
the  Northeastern  States. 


AGGRAVATED  ASSAULT  BY  MONTH,  1987 

Variolion  from  Annual  Average 


7  7 

I 

6 


Jan      Feb      Mar      Apr      May     Jun       Jul      Aug     Sep      Oct      Nov     Dec 


Aggravated  Assault  by  Month,  1983-1987 

[Percent  of  annual  total] 


Months 


January     . 
February 

March 

April 

May 

June 

July 

August      . 

September 

October 

November 

December 


1983 


7.7 
7.1 
7.9 
8.1 
8.9 
8.9 
9.8 
9.7 
8.9 
8.5 
7.4 
7.3 


1984 


7.0 
7.0 
7.8 
7.9 
8.7 
9  1 
9.6 
9,5 
8.8 
8.9 
7.6 
8.1 


1985 


7.0 
6,8 
8.2 
8.2 
8.8 
9,0 
9,5 
9,5 
8,9 
8,8 
7,9 
7,4 


1986 


6,8 
6.3 
8.0 
8.1 
9.1 
9.7 
10.0 
10,0 
8,8 
8,3 
7.6 
7.4 


1987 


7,3 
7,0 
7,8 
8.1 
8.9 
8.9 
9.5 
9.5 
8.7 
8.5 
7,9 
7.8 


Trend 

In  1987,  aggravated  assault  increased  2  percent 
nationwide  in  volume  as  compared  to  1986.  For  the  2-year 
period,  the  trend  in  the  geographic  regions  ranged  from  an 
increase  of  7  percent  in  the  Northeastern  States  to  a 
decrease  of  1  percent  in  the  Midwestern  States.  While  a 
decrease  of  less  than  1  percent  was  recorded  in  the  Southern 
States,  an  increase  of  6  percent  was  reported  in  the  Western 
States. 

By  population  grouping,  cities  with  1  million  or  more 
inhabitants  recorded  the  greatest  rise  in  aggravated  assaults 
from  1986,  8  percent.  Upswings  of  3  percent  in  the  cities 
collectively  and  1  percent  in  the  suburban  and  rural  counties 
were  registered  for  this  offense  during  the  same  time  period. 

Five-  and  10-year  trends  show  aggravated  assaults  up  31 
percent  above  the  1983  level  and  50  percent  over  the  1978 
experience. 


^  AGGRAVATED 

ASSAULT 


■♦-  Number  of  Offenses 
Known  Up  31% 

■*-  Rate  per  100,000 
Inhabitants  Up  26% 


1983 


1984 


1985 


1986 


1987 


Rate 

Up  2  percent  above  the  1986  rate,  there  were  351  reported 
victims  of  aggravated  assault  for  every  100,000  people 
nationwide  in  1987.  Higher  than  the  national  average,  the 
rate  in  metropolitan  areas  was  400  per  100,000.  Cities 
outside  metropolitan  areas  experienced  a  rate  of  272  and 
rural  counties,  a  rate  of  139. 

Nationwide,  the  rate  for  aggravated  assault  showed 
increases  of  26  percent  over  1983  and  34  percent  over  1978. 

Nature 

In  1987,  32  percent  of  the  aggravated  assaults  were 
committed  with  blunt  objects  or  other  dangerous  weapons. 
Of  the  remaining  weapon  categories,  personal  weapons  such 
as  hands,  fists,  and  feet  were  used  in  25  percent  of  the 
offenses;  and  knives  or  cutting  instruments  and  firearms  in 
21  percent  each. 

A  comparison  of  the  1986  and  1987  figures  showed  that 
aggravated  assaults  by  knives  or  cutting  instruments 
decreased  1  percent.  A  2-percent  increase  was  recorded  in 
aggravated  assaults  committed  with  firearms  and  blunt 
objects  or  other  dangerous  weapons.  Assaults  where 
personal  weapons  were  used  showed  the  greatest  increase 
during  this  2-year  period,  7  percent.  The  following  table 
shows  the  1987  regional  experience  of  aggravated  assault  by 
type  of  weapon  used. 


22 


Aggravated  Assault,  Type  of  Weapons  Used,  1987 

[Percent  distribution  by  region] 


Other 

Region 

Total 

all 

weapons' 

Fire- 

Knives or 
cutting 

weapons 
(clubs. 

Personal 

arms 

instru- 
ments 

blunt 

objects, 

etc.) 

weapons 

Total    

100.0 

21.4 

21.4 

31.8 

25.4 

Northeastern  States   

100,0 

14.9 

25.3 

34.7 

25.1 

Midwestern  States 

100.0 

24.4 

22.7 

34.2 

18.7 

Southern  States 

100.0 

25.6 

■     23.4 

31.5 

19.5 

Western  States 

1000 

17,7 

15.5 

28.7 

38.1 

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

Clearances 

During  1987,  law  enforcement  agencies  nationwide 
cleared  59  percent  of  the  aggravated  assaults  reported.  The 
cities  collectively  reported  a  58-percent  clearance  rate  while 
the  highest  rate,  67  percent,  was  recorded  by  cities  with 
populations  less  than  10,000.  Suburban  and  rural  county 
law  enforcement  agencies  cleared  60  and  64  percent, 
respectively. 


Geographically,  clearance  percentages  for  aggravated 
assault  were  61  percent  in  the  West,  60  percent  in  the  South, 
58  percent  in  the  Northeast,  and  54  percent  in  the  Midwest. 

Nine  percent  of  the  clearances  reported  by  suburban 
county  agencies  involved  only  persons  under  age  18. 
Persons  in  this  age  group  were  identified  as  the  assailants  in 
8  percent  of  the  national  and  city  clearances  and  7  percent 
of  those  in  rural  counties. 

Persons  Arrested 

The  estimated  352,450  persons  arrested  for  aggravated 
assault  in  1987  represented  65  percent  of  all  arrestees  for 
violent  crimes.  Whites  comprised  58  percent  of  the 
arrestees;  blacks,  40  percent;  and  all  other  races,  the 
remainder.  Eighty-seven  percent  of  the  arrestees  were  males 
and  13  percent,  females. 

Total  arrests  for  aggravated  assault  were  up  4  percent  in 
1987  from  the  1986  total.  During  this  2-year  period,  adult 
arrests  rose  4  percent  and  those  of  juveniles  increased  3 
percent.  A  comparison  of  1983  and  1987  figures  showed 
total  arrests  for  this  offense  up  22  percent;  those  of  persons 
under  age  18,  up  19  percent;  and  those  of  adults,  up  23 
percent. 


i^ 


23 


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 

1986  3,241,410 

1987  3,236,184 

Percent  change  -  .2 


Rate  per  100,000 
inhabitants 
1.344.6 

1,3296 
-1.1 


24 


Volume 


Estimated  at  over  3.2  million  in  1987,  burglaries 
accounted  for  24  percent  of  all  Crime  Index  offenses  and  27 
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. 

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


Burglary 


Number  of  Offenses 
Known  Up  3% 

Rate  per  100,000 
Inhabitants  Down  .6% 


1987 


BURGLARY  BY  MONTH,  1987 

Variation  from  Annual  Average 
9 


Jan    Feb    Mar    Apr    May   Jun     Jul     Aug    Sep    Oct    Nov    Dec 


Burglary  by  Month,  1983-1987 

[Percent  of  annual  total] 


Months 


January   ., 
February . . 

March 

April 

May 

June 

July 

August 

September 
Octot>er 
November 
December 


1983 


9,1 
7.8 
8.5 
7.9 
8.1 
7.8 
8.5 
9.0 
8.4 
8.5 
8.3 
8.1 


1984 


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


1985 


8.2 
7.2 
8.2 
7.8 
8.0 
7.9 
9,0 
9,1 
8.5 
9.0 
8.5 


1986 


8,4 
7.5 
8.3 
7.9 
8.1 
8.1 
8.9 
9.0 
8.5 
8.4 
8.1 


1987 


8.4 
7.8 
8.3 
7.6 
8.0 
8.0 
8.8 
9.1 
8.4 
8.4 
8.4 


Trend 

Nationwide,  the  burglary  volume  decreased  less  than  1 
percent  in  1987  from  the  1986  total.  Cities  with  populations 
of  1  million  or  more  showed  the  largest  decline,  4  percent. 
The  rural  counties  registered  a  2-percent  increase  and  the 
suburban  counties,  a   1 -percent  rise. 

Regionally,  the  Western  and  Northeastern  States  reported 
decreases  in  burglaries,  7  and  1  percent,  respectively. 
Burglary  rose  4  percent  in  the  Southern  States  and  1  percent 
in  the  Midwestern  States. 


Rate 

A  burglary  rate  of  1,330  per  100,000  inhabitants  was 
registered  nationwide  in  1987.  The  rate  decreased  1  percent 
from  1986  and  was  7  percent  below  the  1978  rate.  In  1987, 
for  every  100,000  in  population,  the  rate  was  1,485  in  the 
metropolitan  areas,  1,042  in  the  cities  outside  metropolitan 
areas,  and  670  in  the  rural  counties. 

Regionally,  the  burglary  rate  was  1,565  in  the  Southern 
States,  1,524  in  the  Western  States,  1,088  in  the  Midwestern 
States  and  1,031  in  the  Northeastern  States.  A  comparison 
of  1986  and  1987  rates  showed  declines  of  1  percent  in  the 
Northeast  and  9  percent  in  the  West.  The  Midwest  and 
South  both  registered  burglary  rate  increases,  1  and  3 
percent,  respectively. 

Nature 

Two  of  every  3  burglaries  in  1987  were  residential  in 
nature.  Seventy  percent  of  all  burglaries  involved  forcible 
entry,  21  percent  were  unlawful  entries  (without  force),  and 
the  remainder  were  forcible  entry  attempts.  Considering 
those  offenses  for  which  time  of  occurrence  was  reported,  52 
percent  occurred  at  night  and  48  percent  during  the 
daytime. 

Burglary  victims  suffered  losses  estimated  at  $3.2  billion 
in  1987,  and  the  average  dollar  loss  per  burglary  was  $975. 
The  average  loss  for  residential  offenses  was  $1,004,  while 
for  nonresidential  property,  it  was  $914. 

Residential  burglary  showed  virtually  no  change  from 
1986  to  1987;  nonresidential  offenses  were  down  1  percent 
during  the  same  period. 

Clearances 

In  1987,  14  percent  of  the  burglaries  brought  to  the 
attention  of  law  enforcement  agencies  across  the  country 
were  cleared.  Geographically,  a  15-percent  clearance  rate 
was  registered  in  the  South.  In  the  Northeast,  the  rate  was 
14  percent;  in  the  West,  13  percent;  and  in  the  Midwest,  it 
was  1 1  percent. 


25 


19 
1  1 

0' 
-1  ■ 

83                1984                1985                1986                1987 

f                                 ^ 

/           \ 

-2 

/ 

-3 
-4. 

/    RESIDENCE 
/       BURGLARY 

-5 

/         NIGHTTIME 

-6- 
-7. 

^^^               DOWN  2% 

16 

14 

12 

10  ■ 
8  ■ 
6  ■ 
4  • 
2 


1983 


NONRESIDENCE 
BURGLARY 

DAYTIME 
UP  16% 


1984 


1985 


12i 
10- 

RESIDENCE 
BURGLARY 

/ 

[ — ■ 

8- 

DAYTIME 

/ 

6- 

UP  12%                 / 

4- 

/ 

2- 

0. 

-2 
19 

83                1984               1985 

1986 

1987 

1986 


1987 


1983               1984                1985                1986 

1987 

-1  ■ 

-2- 

-3- 

-4- 

-5- 

\ 

k 

-6- 

-7- 

-8- 

\ 

^--^ONRESIDENCE 

-9- 
-10- 
-11  ■ 

^^                BURGLARY 
NIGHTTIME 

'^2                                          DOWN  9% 

26 


Burglaries  of  unknown  time  of  occurrence  are  not  included. 


Rural  county  law  enforcement  cleared  16  percent  of  the 
burglaries  in  their  jurisdictions.  Those  in  the  suburban 
counties  recorded  a  clearance  rate  of  15  percent,  and 
agencies  in  cities  obtained  clearances  in  13  percent. 

Adults  were  involved  in  81  percent  of  all  burglary 
offenses  cleared,  and  only  young  people  under  18  years  of 
age  were  offenders  in  the  remaining  19  percent.  Similar  to 
the  national  experience,  persons  under  age  1 8  accounted  for 
19  percent  of  the  burglary  clearances  in  cities.  Suburban 
county  law  enforcement  agencies  reported  20  percent  of 
their  burglary  clearances  involved  only  juveniles,  while 
those  in  rural  counties  registered  23  percent.  The  highest 
degree  of  juvenile  involvement  was  recorded  in  the  Nation's 
smallest  cities  (under  10,000  population)  where  young 
persons  under  18  years  of  age  comprised  27  percent  of  the 
clearances. 


Persons  Arrested 

In  the  UCR  Program,  several  persons  may  be  arrested  in 
connection  with  the  clearance  of  one  crime,  or  the  arrest  of 
one  individual  may  clear  numerous  offenses.  The  latter  is 
often  true  in  cases  of  burglary  for  which  an  estimated 
443,400  arrests  were  made  in  1987.  Arrest  trends  between 
1986  and  1987  show  a  1 -percent  decrease  in  total  burglary 
arrests.  Adult  arrests  showed  no  change,  while  those  of 
persons  under  18  years  of  age  declined  4  percent.  For  the 
same  2-year  time  period,  total  burglary  arrests  rose  1 
percent  in  the  rural  counties,  while  in  the  cities  and  the 
suburban  counties,  they  showed  decreases  of  1  and  4 
percent,  respectively. 

Ninety-two  percent  of  the  burglary  arrestees  during  1987 
were  males  and  69  percent  were  under  25  years  of  age.  Of 
the  total  burglary  arrestees,  whites  accounted  for  67  percent, 
blacks  for  31  percent,  and  other  races  for  the  remainder. 


27 


LARCENY-THEFT 


DEFINITION 


Larceny-theft  is  the  unlawful  taking,  carrying,  leading,  or  riding  away  of  property 
from  the  possession  or  constructive  possession  of  another.  It  includes  crimes  such  as 
shoplifting,  pocket-picking,  purse-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. 


TRFNn 

Year 
1986       

Number  of  offenses 
7,257,153 

Rate  per  100.000 
inhabitants 

3,010.3 

3.081.3 

+  2.4 

1987 

7,499,851 

Percent  change 

+  3.3 

28 


Volume 

Larceny-theft  offenses,  estimated  at  7,499,851  during 
1987,  comprised  56  percent  of  the  Crime  Index  total  and  62 
percent  of  the  property  crimes.  When  viewed  monthly, 
larceny-thefts  were  recorded  most  often  during  August  and 
least  frequently  in  February. 


LARCENY-THEFT  BY  MONTH,  1987 

Variation  trom  Annual  Average 


Jan    Feb    Mar    Apr    May  Jun     Jul    Aug    Sep    Oct    Nov    Dec 


Regionally,  the  most  populous  Southern  States  recorded 
36  percent  of  the  total.  The  Western  States  registered  24 
percent;  the  Midwestern  States,  23  percent;  and  the 
Northeastern  States,  17  percent. 

Larceny-Theft  by  Month,  1983-1987 

[Percent  of  annual  total] 


Months 


January 

February . . 

March 

April 

May 

June 

July 

August 

September 
October  . 
November 
December 


1983 


S.l 
7.4 
8.4 
8.1 
8.4 
8.5 
8.9 
9.4 
8.4 
8.6 
8.0 
7.7 


1984 


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


1985 


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


1986 


7.8 
7.2 
8.3 
8.2 
8.4 
8.6 
9.1 
9,3 
8.4 
8.5 
7.9 
8.3 


1987 


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


Trend 

Compared  to  1986,  the  1987  volume  of  larceny-thefts 
increased  3  percent  in  the  Nation,  as  well  as  in  all  cities 
collectively.    Suburban    and    rural    counties    also   showed 
-  increases,  4  and  2  percent,  respectively. 

I  Volume  increases  were  recorded  in  the  Southern  States,  5 
percent;  in  the  Midwestern  States,  4  percent;  and  in  the 
Northeastern  States,  3  percent.  The  Western  States 
registered  virtually  no  change. 

The  5-  and  10-year  larceny  trends  for  the  Nation  showed 
a  12-percent  increase  over  1983  and  a  25-percent  rise  over 
1978  figures. 


LARCENY-THEFT 


■*-  Number  of  Offenses 
Known  Up  12% 

■»-  Rate  per  100,000 
Intiabitants  Up  7% 


1985 


1986 


1987 


Rate 

The  1987  larceny-theft  rate  was  3,081  per  100,000  United 
States  inhabitants,  2  percent  higher  than  in  1986.  The  1987 
rate  was  7  percent  above  the  1983  level  and  12  percent 
higher  than  in  1978.  The  1987  rate  was  3,444  per  100,000 
inhabitants  of  metropolitan  areas;  3,303  per  100,000 
population  in  cities  outside  metropolitan  areas;  and  943  per 
100,000  people  in  the  rural  counties. 

Regionally,  the  Southern  States'  larceny-theft  rate 
increased  4  percent  over  the  1986  level  to  3,238  per  100,000 
inhabitants.  Both  showing  3-percent  rises,  the  rates  were 
2,889  in  the  Midwestern  States  and  2,544  in  the 
Northeastern  States.  The  rate  in  the  Western  States  dropped 
2  percent  from  3,662  in  1986  to  3,590  in  1987. 

Nature 

The  average  value  of  property  stolen  due  to  larceny-theft 
during  1987  was  $404,  up  from  $400  in  1986.  When  the 
average  value  was  applied  to  the  estimated  number  of 
larceny-thefts,  the  loss  to  victims  nationally  was  $3  billion 
for  the  year.  This  estimated  dollar  loss  is  considered 
conservative  since  many  offenses  in  the  larceny  category, 
particularly  if  the  value  of  the  stolen  goods  is  small,  never 
come  to  law  enforcement  attention.  Losses  in  26  percent  of 
the  thefts  reported  to  law  enforcement  during  1987  ranged 
from  $50  to  $200,  while  34  percent  were  over  $200. 

Losses  of  goods  and  property  reported  stolen  as  a  result  of 
pocket-picking  averaged  $286;  purse-snatching,  $238;  and 
shoplifting,  $96.  Thefts  from  buildings  resulted  in  an 
average  loss  of  $665;  from  motor  vehicles,  $434;  and  from 
coin-operated  machines,  $128.  The  average  value  loss  due  to 
thefts  of  motor  vehicle  accessories  was  $288  and  for  thefts  of 
bicycles,  $172. 


29 


POCKET-PICKING 
DOWN  1% 


1985 


1986 


1987 


35  1 

SHOPLIFTING 

30- 



.■^ 

25- 

UP  33% 

<^ 

20- 

y 

/ 

15- 

y 

10- 

5- 

0    ' 

1983 

1984                1985 

1986 

1987 

4  1 

PURSE-SNATCHING 

N 

2- 

DOWN  1% 

"^ 

\ 

0  ■ 

\ 

N 

-2- 

\ 

-4' 

\ 

-6- 

\ 

^^^ 

-8-- 
1983                1984                1985 

1986 

1987 

25  1 
20- 

THEFT  FROM  MOTOR 
VEHICLES 

15- 

UP  22% 

^ 

10  ■ 

/ 

5- 

0- 

-5. 

19 

^ 

/ 

83                1984                1985 

1986 

1987 

1983               1984               1985               1986               1987 
n 

-2- 

/ 

-4- 

/ 

-6- 

y^ THEFT  OF 
X   MOTOR  VEHICLE 

-8- 

^^--•^          ACCESSORIES 

-10  • 

DOWN  .2% 

1983 

1984 

1985              1986              1987 

1.5. 

^-^ 

1  • 

t^ 

0.5. 
0 
-0.5- 

\ 

/ 

'               THEFT  FROM 

-1  • 

\ 

\, 

/ 

BUILDINGS 

,-1.5. 
-2-1 

N 

y 

UP  2% 

1983 

1984               1985 

1986 

1987 

-2- 

\ 

^ 

/\ 

-4- 

\^ 

y           \ 

-6- 

^ 

^ 

-8- 

-10- 

THEFT  OF  BICYCLES 

\ 

-12- 
-14. 

DOWN  13% 

N 

20  T 

15 

10 
5- 
0- 


-5.1 
1983 


THEFT  FROM  COIN 
MACHINES 

UP  18% 


1984 


1985 


1986 


1987 


30 


All  Others 


From  Motor  Vehicles 


Motor  Vehicle  Accessories 


L 
a 
r 
c 
e 
n 

y 

/ 

T 

h 

e 

f 

t 


From  Buildings 


Shoplifting 


Bicycles 


Coin  Machines     ■  1 


Pocket-Picking     H 1 


Purse-Snatching     ■  1 


31 


Thefts  of  motor  vehicle  parts,  accessories,  and  contents 
made  up  the  largest  portion  of  reported  larcenies — 38 
percent.  Also  contributing  to  the  high  volume  of  thefts  were 
those  from  buildings  and  shoplifting,  each  accounting  for  1 5 
percent;  and  bicycle  thefts,  accounting  for  6  percent.  The 
remainder  were  distributed  among  pocket-picking,  purse- 
snatching,  thefts  from  coin-operated  machines,  and  all  other 
types  of  larceny-thefts.  The  accompanying  table  presents  the 
distribution  of  larceny-theft  by  type  and  geographic  region. 

Larceny  Analysis  by  Region,  1987 

[Percent  distribution  by  region] 


United 
States 
total 

North- 
eastern 
States 

Mid- 
western 
States 

Southern 
States 

Western 
States 

TotBl' 

100.0 

100.0 

100.0 

100.0 

100.0 

Pocket-pici(ing 

Purse-snatching 

Shoplifting 

From  motor  vehicles 

(except  accessories) 

Motor  vehicle 

accessories 

1.1 

1.2 

15.3 

21.1 

16.9 
6.4 
14.6 

.9 
22.6 

3.6 

2.2 

12.2 

20.7 

18.5 
6.2 
19.1 

.9 
16.6 

.8 

1.2 

12.8 

19.0 

16.2 
6.7 
18.8 

.6 
23.9 

.4 

1.0 

16.1 

19.2 

18.6 
5.7 
11.1 

1.1 
26.7 

.6 

.8 
18.2 

25.9 

13.8 

7.3 

From  buildings 

From  coin-operated 

machines 

All  others 

13.2 

.8 
19.4 

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

Clearances 

Twenty  percent  of  the  reported  larceny-thefts  were 
cleared  nationwide  and  in  cities  during  1987.  The  highest 
clearance  rate,  24  percent,  was  reported  by  law  enforcement 
agencies  in  cities  from  10,000  to  24,999  in  population.  Those 
in  suburban  counties  recorded  an  18-percent  rate,  and  in 
rural  counties,  17  percent. 


Regionally,  law  enforcement  agencies  in  the  West  cleared 
22  percent  of  the  larceny  offenses  brought  to  their  attention. 
The  clearance  rates  in  the  South,  Midwest,  and  Northeast 
were  19  percent. 

Twenty-two  percent  of  the  national  clearances  for 
larceny-theft  involved  only  offenders  under  18  years  of  age. 
Twenty-three  percent  of  the  clearances  in  cities,  21  percent 
of  those  in  suburban  counties,  and  19  percent  of  those  in 
rural  counties  were  accounted  for  by  persons  in  this  age 
group. 

Persons  Arrested 

Between  1986  and  1987,  the  total  number  of  persons 
arrested  for  larceny-theft  increased  3  percent.  Female 
arrests  for  this  offense  were  up  6  percent,  and  those  of  males 
increased  2  percent.  During  this  same  period,  adult  arrests 
rose  4  percent,  while  those  of  persons  under  1 8  years  of  age 
showed  virtually  no  change. 

Considering  a  longer  timeframe,  larceny-theft  arrests 
showed  a  12-percent  increase  for  the  5-year  period,  1983- 
1987.  Juvenile  arrests  were  up  6  percent,  and  those  of  adults 
rose  14  percent.  Male  arrests  increased  9  percent  and  female 
arrests,  17  percent  during  this  5-year  timespan. 

Larceny-thefts  not  only  comprised  the  largest  portion  of 
Crime  Index  offenses  reported  to  law  enforcement,  this 
offense  accounted  for  55  percent  of  the  arrests  for  Index 
crimes  and  70  percent  of  those  for  property  crimes  in  1987. 
Forty-five  percent  of  the  larceny  arrests  were  of  persons 
under  21  years  of  age,  and  31  percent  of  the  arrestees  were 
under  18.  Females,  who  were  arrested  for  this  offense  more 
often  than  for  any  other  in  1987,  comprised  31  percent  of  all 
larceny-theft  arrestees. 

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


32 


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. 


TPFMn 

Rate  per  100,000 

Year 

Number  of  offenses 

inhabitants 

1986  

1,224.137 

507.8 

1987  

1,288.674 

529.4 

Percent  change 

+  5.3 

+  4.3 

33 


Volume 


An  estimated  total  of  1,288,674  thefts  of  motor  vehicles 
occurred  in  the  United  States  during  1987.  These  offenses 
comprised  1 1  percent  of  all  property  crimes.  The  regional 
distribution  of  motor  vehicle  theft  showed  31  percent  of  the 
volume  was  in  the  Southern  States,  25  percent  in  the 
Northeastern  States,  24  percent  in  the  Western  States,  and 
20  percent  in  the  Midwestern  States. 

Motor  vehicle  theft  figures  by  month  showed  that  the 
greatest  number  occurred  in  August,  while  the  lowest  was  in 
February. 


MOTOR  VEHICLE  THEFT  BY  MONTH,  1987 

Variation  from  Annual  Average 


If 


-10 

Jan    Feb    Mar    Apr    May   Jun     Jul     Aug    Sep    Oct    Nov    Dec 

Motor  Vehicle  Theft  by  Month,  1983-1987 

[Percent  of  annual  total] 


Months 


January . . 
February . . 

March 

April 

May 

June 

July 

August 

September 
October 
November 
December 


1983 


8,3 
7.5 
8.4 
8.0 
8.1 
8,0 
8.5 
9.1 
8,5 
8,7 
8,4 
8.5 


1984 


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


1985 


78 
7,1 
8.1 
7,8 
8,0 
8.2 
8,9 
9,1 
8,7 
9,1 
8,6 
8,7 


1986 


7.9 
7.1 
8,1 
7,8 
8.0 
8.2 
8,9 
9.5 
8.7 
9.0 
8.5 
8,3 


1987 


7,9 
7,5 
8,4 
7,9 
8,0 
8.1 
8,8 
9,0 


8,5 
8,7 


Trend 

The  number  of  motor  vehicle  thefts  increased  5  percent 
nationally,  as  well  as  in  the  cities,  from  1986  to  1987.  The 
suburban  counties  and  those  cities  with  populations  of 
100,000  to  249,999  registered  the  largest  increases,  9 
percent.  Rural  counties  showed  an  increase  of  1  percent. 

Geographically,  three  of  the  four  regions  experienced 
motor  vehicle  theft  increases.  The  increases  were  10  percent 
in  the  Western  States,  7  percent  in  the  Southern  States,  and 
8  percent  in  the  Northeastern  States.  A  5-percent  decrease 
was  recorded  in  the  Midwestern  States. 

The  accompanying  chart  shows  that  the  volume  of  motor 
vehicle  thefts  in  1987  increased  28  percent  over  the  1983 
volume. 


MOTOR  VEHICLE 
THEFT 


■*■  Number  of  Offenses 
Known  Up  28% 

■»-  Rate  per  100,000 
Inhabitants  Up  23% 


1983 


1984 


1985 


1986 


1987 


Rate 

The  1987  national  motor  vehicle  theft  rate — 529  per 
100,000  people — was  4  percent  higher  than  the  rate  in  1986. 
The  rate  was  23  percent  higher  than  in  1983  and  15  percent 
above  the   1978  rate. 

For  every  100,000  inhabitants  living  in  MSAs,  there  were 
646  motor  vehicle  thefts  reported  in  1987.  The  rate  in  cities 
outside  metropolitan  areas  (other  cities)  was  203  and  in 
rural  counties,  110.  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  problem. 

Among  the  regions,  the  motor  vehicle  theft  rates  ranged 
from  632  per  100,000  people  in  the  Western  States  to  426  in 
the  Midwestern  States.  The  Northeastern  States'  rate  was 
629  and  the  Southern  States'  rate,  483.  From  1986  to  1987, 
rate  increases  were  registered  in  the  Western  States,  8 
percent;  the  Northeastern  States,  7  percent;  and  the 
Southern  States,  5  percent.  The  Midwestern  States,  the  only 
region  to  show  a  decrease,  recorded  a  decline  of  5  percent. 

An  estimated  average  of  1  of  every  144  registered  motor 
vehicles  was  stolen  nationwide  during  1987.  Regionally,  this 
rate  was  greatest  in  the  Northeast  where  1  of  every  107 
motor  vehicles  registered  was  stolen.  The  other  three 
regions  reported  lesser  rates — 1  per  127  in  the  West,  1  per 
164  in  the  South,  and  1  per  181  in  the  Midwest. 

Nature 

During  1987,  an  estimated  national  loss  of  over  $6  billion 
was  due  to  motor  vehicle  theft.  At  the  time  of  theft,  the 
average  value  per  vehicle  stolen  was  $4,964. 

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


34 


Motor  Vehicle  Theft,  1987 

[Percent  dislribulion  by  region] 


Region 

Total' 

Autos 

Trucks 
and 
buses 

Other 

vehicles 

Total 

100.0 

77.2 

14.6 

8.2 

Northeastern  States 

100.0 
100.0 
100.0 
100.0 

91.3 
83.2 
73.1 
65.2 

4.9 

8.7 
18.0 
23.7 

3.9 
8.1 

Southern  States.. 
Western  States 

9.0 
11.1 

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

Clearances 

Law  enforcement  agencies  nationwide  cleared  15  percent 
of  the  motor  vehicle  thefts  reported  in  their  locales  during 
1987.  Those  in  cities  cleared  14  percent;  those  in  suburban 
counties  cleared  19  percent;  and  rural  county  agencies 
cleared  32  percent. 

Regional  clearance  percentages  for  motor  vehicle  theft 
were  10  percent  in  the  Northeastern  States,  15  percent  in  the 
Midwestern  States,  17  percent  in  the  Western  States,  and  19 
percent  in  the  Southern  States. 


Persons  in  the  under  18  age  group  accounted  for  20 
percent  of  the  motor  vehicle  thefts  cleared  nationwide,  in 
cities,  and  in  suburban  counties.  They  comprised  21  percent 
of  the  clearances  in  the  rural  counties. 

Persons  Arrested 

During  1987,  males  accounted  for  90  percent  of  the 
persons  arrested  for  motor  vehicle  theft.  Sixty  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 
1987,  58  percent  of  all  persons  arrested  for  this  offense  were 
under  21  years  of  age,  and  those  under  age  18  comprised  40 
percent  of  the  total.  Between  1986  and  1987,  arrests  of 
males  under  age  18  rose  13  percent  and  those  of  females,  12 
percent. 

Total  motor  vehicle  theft  arrests  were  up  1 1  percent  and 
adult  arrests  rose  9  percent  in  1987  over  the  previous  year. 
Overall  arrests  for  this  offense  were  46  percent  higher  in 
1987  than  in  1983  and  12  percent  above  the  1978  level. 


I 


35 


ARSON 
DEnNITION 


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

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


36 


Volume 


Rate 


A  total  of  102,410  arson  offenses  was  reported  by  12,810 
law  enforcement  agencies  across  the  country;  these  agencies 
furnished  from  1  to  12  months  of  reports  during  1987.  Of 
these  reporting  agencies,  12,649  provided  the  detailed 
information — type  of  structure,  estimated  monetary  value  of 
the  property  damaged,  etc. — from  which  the  tables  on  the 
accompanying  pages  were  tabulated.  Further  information 
regarding  arson  offenses  and  trends  is  presented  in  Tables  6 
through  13  and  arson  clearances  in  Tables  20  through  23. 
Since  only  8,507  agencies  covering  75  percent  of  the  United 
States  population  submitted  reports  for  all  1 2  months  of  the 
year,  the  data  user  should  be  aware  that,  while  conservative 
I  indicators,  the  figures  do  not  represent  the  Nation's  total 
arson  experience. 

Trend 

National,  city,  and  suburban  county  arson  counts 
decreased  5  percent  from  1986  to  1987.  In  the  rural 
counties,  a  greater  decline  of  9  percent  was  experienced. 

Geographically,  all  regions  recorded  arson  decreases  in 
1987.  The  declines  were  8  percent  in  the  Southern  States,  5 
percent  in  both  the  Northeastern  and  Western  States,  and 
less  than  one-half  of  1  percent  in  the  Midwestern  States. 

By  property  type  nationally,  the  number  of  arsons  of 
mobile  property  declined  6  percent,  arsons  of  structures 
dropped  5  percent,  and  those  of  all  other  property  decreased 
4  percent. 

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


Arson  Rate,  Population  Group,  1987 


[8,507  agencies;   1987  estimated  populatior 
Rate  per   100.000  inhabitants] 

181,658,000: 

Group 

Rate 

Total 

49.6 

Total  cities    

57  1 

Group  I  (cities  250,000  and  over) 

90.5 
104.8 

74.8 
82.4 
67.9 
43.5 
34.6 
28.3 
27.0 

38.7 

21.8 

34  5 

(cities  1,000.000  and  over)              

(cities  500.000  to  999.999) 

(cities  250.000  to  499,999) 

Group  II  (cities  100,000  to  249,999) 

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

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

Group  V  (cities  10,000  to  24  999) 

Group  VI  (cities  under  10,000) 

Suburban  area 

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  1 2  months 
of  statistics  for  all  Index  crimes,  including  arson,  the  1987 
rates  are  shown  in  the  accompanying  table. 

The  rates  ranged  from  105  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  39  and  57  per  100,000 
inhabitants,  respectively.  Overall,  the  1987  national  arson 
rate  was  50  per  100,000  population. 

Regionally,  the  highest  arson  rate  was  registered  in  the 
Western  States  with  60  offenses  per  100,000  population. 
Following  were  the  Northeastern  States  with  a  rate  of  50  per 
100,000,  the  Midwestern  States  with  49  per  100,000,  and  the 
Southern  States  with  43  per  100,000  inhabitants. 

Nature 

As  in  previous  years,  structures  were  the  most  frequent 
target  of  arsonists  in  1987  and  comprised  55  percent  of  the 
reported  incidents.  Twenty-eight  percent  of  the  arsons  were 
directed  at  mobile  property  (motor  vehicles,  trailers,  etc.), 
while  other  types  of  property  (crops,  timber,  etc.)  accounted 
for   17  percent. 

Arson,  Type  of  Property,  1987 

[12,649  agencies;  1987  estimated  population  196,173,000) 


Property  classification 


Total 

Total  structure 

Single  occupancy  residential 

Other  residential 

Storage 

IndusI  rial/manufacturing 

Other  commercial 

Community/public 

Other  structure 

Total  mobile 

Motor  vehicles 

Other  mobile  

Other  


Number 

of 
offenses 


84,371 


46,490 
19,708 
8,762 
4,541 
802 
5,481 
4,428 
2,768 

23,339 

21.645 

1,694 

14,542 


Percent 
distribution' 


100.0 


55.1 
23.4 
10.4 
5.4 
1.0 
6.5 
5.2 
3.3 

27.7 

25.7 

2.0 

17.2 


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

Residential  property  was  involved  in  61  percent  of  the 
structural  arsons  during  the  year,  with  42  percent  of  such 
offenses  directed  at  single-occupancy  dwellings.  Eighteen 
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. 


37 


Arson,  Structures  Not  in  Use,  1987 

[12,649  agencies;   1987  estimated  population   196,173.000] 

Percent 
Type  of  structure  of  not 

"  in  use 


Arson  Offenses  Cleared  by  Arrest,'  1987 

[12.649  agencies';   1987  estimated  population   196,173.000] 


Total 

Single  occupancy  residential 

Other  residential 

Storage  

Industrial/manufacturing 

Other  commercial 
Community/public 
Other  structure 


The  monetary  value  of  property  damaged  due  to  reported 
arsons  during  1987  totaled  $907  million,  and  the  average 
loss  per  incident  was  $10,755.  The  overall  average  for  all 
types  of  structures  was  $17,550.  While  industrial/ 
manufacturing  property  showed  the  lowest  number  of 
structural  incidents,  it  registered  the  highest  average  loss — 
$37,187.  Mobile  properties  averaged  $3,571  per  incident, 
and  other  targets  averaged  $561. 

Arson,  Monetary  Value  of  Property  Damaged,  1987 

[12.649  agencies;   1987  estimated  population   196,173.000] 


Property  classification 

Number 

of 
offenses 

Average 
damage 

Total            

84,371 

$10,755 

46.490 
19.708 
8.762 
4.541 
802 
5.481 
4.428 
2.768 

23.339 

21.645 

1.694 

14.542 

17,550 

Single  occupancy  residential 

Other  residential 

Storage 

12.427 
12,481 
15,054 

37  187 

Other  commercial 
Community/public 

32,619 
18,189 
8,647 

3,571 

Motor  vehicles 
Other  mobile 

Other 

3,307 
6,944 

561 

Clearances 

The  national  1987  arson  clearance  rate  was  16  percent. 
Rural  county  agencies  showed  the  highest  rate,  clearing  20 
percent  of  the  arson  offenses  brought  to  their  attention. 
Suburban  county  agencies  cleared  18  percent  and  city 
departments,   15  percent. 

Regionally,  the  Southern  States  reported  a  clearance  rate 
of  20  percent;  the  Western  States,  15  percent;  and  both  the 
Midwestern  and  Northeastern  States,   13  percent. 

Thirty-six  percent  of  all  1987  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  accounted  for  35  percent  of 
structural  arson  clearances,  22  percent  of  the  clearances  for 
arsons  of  mobile  property,  and  56  percent  of  those  of  all 
other  property. 


Property  classification 

Number 

of 
offenses 

Percent 
cleared 
by  arrest 

Total 

84,371 

18.0 

Total  structure        .  . 

46.490 
19,708 
8,762 
4,541 
802 
5,481 
4,428 
2,768 

23,339 

21,645 

1,694 

14,542 

21  8 

22  0 

Other  residential 

Storage 

24.2 
17  5 

Industrial/manufacturing 

12.8 
15.4 

Community/public 

34  0 

15  5 

104 

Motor  vehicles 
Other  mobile 

Other 

9.8 
176 

18.3 

'Includes  offenses  cleared  by  exceptional  means. 

■^The  number  of  agencies  used  in  this  table  is  lower  than  the  number  used  in 
Tables  20-23.  To  be  included  in  this  table,  it  was  necessary  that  arson  clearances  be 
reported  by  property  classification. 

By  population  grouping,  juveniles  were  the  offenders  in 
38  percent  of  the  city  arson  clearances,  34  percent  of  those 
in  suburban  counties,  and  25  percent  of  those  in  the  rural 
counties. 

The  accompanying  tables  show  clearance  data  only  for 
those  12,649  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  (34 
percent)  was  recorded  for  offenses  in  which  community  or 
public  structures  were  involved,  while  the  lowest  rate  (10 
percent)  was  registered  for  motor  vehicles. 

Arson  Offenses  Cleared  by  Arrest'  of  Persons  under  18  Years 
of  Age,  1987 

[12.649  agencies-;   1987  estimated  population   196,173,000] 


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, 


'Includes  offenses  cleared  by  exceptional  means. 

'The  number  of  agencies  used  in  this  table  is  lower  than  the  number  used  in 
Tables  20-23    To  be  included  in  this  table,  it  was  necessary  that  arson  clearances  be 
reported  by  property  classification 


38 


Persons  Arrested  decreased  4  percent  in  the  rural  counties  and  5  percent  in 

The  estimated  number  of  arrests  for  arson  during  1987  '^^^  suburban  counties, 

:otaled  18,000.  Forty  percent  of  the  arrestees  were  under  18  Arrests  of  persons  under  the  age  of  18  increased  1  percent 

(fears  of  age  and  63  percent  were  under  25.  Males  comprised  from  1986  to  1987,  while  adult  arrests  showed  a  5-percent 

56  percent  of  all  arson  arrestees.  Seventy-three  percent  of  decrease  nationwide.  During  the  same  period,  male  arrests 

hose  arrested  were  white,  26  percent  were  black,  and  the  for  arson  were  down  3  percent  and  female  arrests,  down  1 

■emainder  were  of  other  races.  percent. 

Trends  for  1986  versus  1987  show  arson  arrests  down  2  The   1987  arson  arrest  total  for  all  ages  was  5  percent 

jercent    nationwide    and    in    all    cities    collectively.    They  below  the   1983  level  and  2  percent  lower  than  in   1978. 


39 


CRIME  INDEX  TABULATIONS 


This  Section's  tabular  portions  present  data  on  crime  in 
the  United  States  as  a  whole;  geographic  divisions; 
individual  states;  Metropolitan  Statistical  Areas;  cities, 
towns,  and  counties;  and  college  and  university  campuses. 
Also  furnished  in  the  following  tables  are  national  averages 
for  the  value  of  property  stolen  in  connection  with  Crime 
Index  offenses;  further  breakdowns  by  type  for  the  robbery, 
burglary,  larceny-theft,  and  arson  classifications;  and  data 
on  the  type  and  value  of  property  stolen  and  recovered. 

Although  the  total  number  of  crimes  occurring 
throughout  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 
computing  crime  rates,  all  communities  are  affected  to  some 
degree  by  seasonal  or  transient  populations.  Since  counts  of 
current,  permanent  population  are  used  in  their 
construction,  crime  rates  do  not  account  for  short-term 


population  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 
enforcement  administrator  in  analyzing  the  local  crime 
count,  as  well  as  the  performance  of  the  jurisdiction's  law 
enforcement  agency.  The  analysis,  however,  should  not  end 
with  a  comparison  based  on  data  presented  in  this 
publication.  It  is  only  through  an  appraisal  of  local 
conditions  that  a  clear  picture  of  the  community  crime 
problem  or  the  effectiveness  of  the  law  enforcement 
operation  is  possible. 

Note 

The  collection  of  statistics  on  arson  as  a  Crime  Index 
offense  began  in  1979.  However.  1987  annual  figures  are  not 
available  for  inclusion  in  tables  presenting  statistics  for  the 
total  United  States.  Arson  totals  reported  by  individual  law 
enforcement  agencies  are  displayed  in  Tables  6  through  9. 
Two-year  arson  trends  are  shown  in  Tables  10  through  13. 


40 


Crime  Index  Total 

The  Crime  Index  total  rose  2  percent  to  13.5  million 
offenses  in  1987.  Five-  and  10-year  percent  changes  showed 
the  1987  total  was  12  percent  above  the  1983  level  and  21 
percent  higher  than  in    1978. 

From  1986  to  1987,  overall  violent  crime  showed  virtually 
no  change.  Among  the  violent  crimes,  only  aggravated 
assault  increased,  2  percent.  Robbery  declined  5  percent; 
murder,  3  percent;  and  forcible  rape,  less  than   1  percent. 

The  number  of  property  crimes  increased  3  percent  for 
the  2-year  period.  Motor  vehicle  theft  rose  5  percent,  and 
larceny-theft  was  up  3  percent.  Burglary  showed  little 
change. 


Considering  5-  and  10-year  timeframes,  the  1987  violent 
and  property  crime  totals  each  showed  increases.  Violent 
crime  was  up  18  percent  and  property  crime,  11  percent 
over  1983  figures.  A  comparison  of  1978  and  1987  figures 
showed  upswings  of  37  percent  for  violent  crime  and  19 
percent  for  property  crime.  National  estimates  of  volume 
and  rate  per  100,000  inhabitants  for  all  Crime  Index 
offenses  covering  the  past  decade  are  set  forth  in  Table  1, 
"Index  of  Crime,  United  States,  1978-1987."  Crime  rates 
relate  the  incidence  of  reported  crime  to  population. 

Table  2,  "Index  of  Crime,  United  States,  1987,"  shows 
current  year  estimates  for  MSAs,  rural  counties,  and  cities 
and  towns  outside  metropolitan  areas  (other  cities).  See 
Appendix  III  for  the  definitions  of  these  community  types. 


Table  1.  — Index  of  Crime,  United  States.  1978-1< 

)87 

Population 

Crime 
Index 
total- 

Modifii-d 
Crime 
Index 
total' 

Violent 
cnme^ 

Propenv 
crime' 

Murder 
and   non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
theft 

Motor 
vehicle 
theft 

Arson' 

Number  of  offenses: 

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 

Percent  change:  number  of  offenses 

1987/1986 

■1-2.2 

-.3 

+:b 

-2  5 

-.4 

^.6 

■f2.5 

-.2 

-1-3.3 

■i^5.3 

1987/1983 

■H1.6 

■H8.0 

-H08 

-1-4  1 

■H5.4 

■1^2,2 

■1-.TO.9 

■•■3.4 

-H1.7 

■i^27.9 

1987/1978 

-^20.5 

+  ibJ 

■f  18.8 

■1-28 

■1-34.8 

+2\.} 

-1-49.6 

■1-3.4 

■1-25.2 

■i^28.3 

Rale  per  100.000  inhabitants: 

1978 

5.140.3 

497.8 

4,642.5 

9.0 

31,0 

195.8 

262.1 

1.434.6 

2.747.4 

460.5 

1979 

5.565.5 

5489 

5.016.6 

9.7 

34.7 

218.4 

286.0 

1,511.9 

2.999.1 

505.6 

1980 

5.950.0 

596.6 

5.353.3 

10.2 

36.8 

251.1 

298.5 

1,684.1 

3.167.0 

502.2 

1981 

5.858.2 

594.3 

5.263-9 

9.8 

36.0 

258.7 

289.7 

1,649.5 

3,139.7 

474.7 

1982     

5,603.6 
5,175.0 
5,031.3 
5,207.1 
5,480.4 
5,550.0 

571.1 
537.7 
539.2 
556.6 
617.7 
609.7 

5.032.5 
4.637  4 
4.492-1 
4.650.5 
4.862-6 
4.940.3 

9.1 

8.3 
7.9 
7.9 
8.6 
8.3 

34.0 
33.7 
35.7 
37.1 

37.9 
37,4 

238.9 
216.5 
205.4 
208.5 
225.1 
212.7 

289.2 
279.2 
290.2 
302.9 
.146.1 
351.3 

1,488.8 
1,337.7 
1.263.7 
1.287.3 
1.344.6 
1.329.6 

3,084.8 
2,868.9 
2,791.3 
2.901.2 
3,010.3 
3,081.3 

458.8 
430.8 
437.1 
462.0 
507.8 
529.4 

1983       

1984        

1985                                                    

1986                                                   

1987                                                     

Percent  change;  rate  per  100,000  inhabilanls: 

1987/1986                                                    

+  1.4 

-1.3 

■(■1.6 

-3.5 

-13 

5  5 

-H.5 

-11 

■1-24 

-1-4.3 

1987/1983 

■I-7.3 

-H3.4 

■1-6.5 

■mo 

-1.8 

■•■25.8 

-.6 

+  7.4 

■1^22.9 

1987/1978 

■1-8.1 

+  12.S 

+  bA 

-7.8 

■1-20.6 

■1-8.6 

■(■34,0 

-7  3 

■H2.2 

■H5.0 

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


Provided  in  Table  3,  "Index  of  Crime,  Regional  Offense 
and  Population  Distribution,  1987,"  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 
1987,  they  also  represented  the  greatest  regional  population. 


41 


Table  2.  —  Index  of  Crime,  United  States,  1987 


t 


Populalii 


Crmitf 
lnde> 


MixJiricd 
Crime 
liide^ 
KMal" 


VKilt-ru 
crime 


Pn.pcrh 


Murder 
and  iion- 
iiegligenl 

man 
slaughter 


Forcible 
rape 


Riihbery 


Aggra- 
vated 
assault 


Burglary 


Lareeny- 
theft 


Motor 
vehicle 
theft 


United  Stales  Total 

Rale  per  100.000 
inhabitants 


243.400,000 


13.508,708 

5.550,0 


1,483,999 

f)0<)7 


12,024,709 

4,940,3 


20,096 

83 


91,111 

.n,4 


517,704 

212,7 


855.088 

351  3 


3,236,184 

1,32<S,6 


7,499,851 

3.081,3 


1.288,674 

529,4 


Metropolitan 

Statistical  Area 

Area  actually  reporting"' 
Estimated  totals 
Rale  per  100.000 
inhabitanis 

Other  Cities 

Area  actually  reporting^ 
Estimated  totals 
Rate  per  100.000 

inhabitants  

Rural  Counties 

Area  actually  reporting^ 
Estimated  totals 
Rate  per  100.000 
inhabitants 


186,637,562 

98  1% 
lOO.O'^f 


22,752,410 

93  3'7r 
100  0<7r 


34,009.028 

893'?f 
100  0?} 


11,613.326 
11,747.875 


6,2945 


1.039,689 
1.114.517 


4.898,5 


592,456 
646,316 


1,900.4 


1.333,808 
1.343.765 


7200 


74,045 
79,814 


54,930 
60,420 


1777 


10,279,518 
10,404,110 


5,574,5 


965.644 
1.034.703 


4.547  7 


537.526 
585.896 


17.028 
17.132 


9  2 


960 
1,032 


4  5 


1,720 
1,932 


1,722,: 


78.454 
79.264 


42  5 


5.161 
5,541 


5,846 
6,306 


185 


499,116 
501,347 


10,499 
11,357 


49,9 


4,572 
5,000 


739.210 
746.022 


57,425 
61,884 


272,0 


42.792 
47.182 


138  7 


2,738,932 
2,771,222 


1,484  1 


220,550 
237,082 


1,042,0 


208.390 
227,880 


6,346,964 
6.427,814 


3,4440 


702.052 
751.440 


3,302  7 


294.997 
320.597 


1,193,622 
1,205,074 


645  7 


43,042 
46,181 


203  0 


34, 1 39 
37.419 


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

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

'Violent  crimes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault.  Property  cnmes  are  offenses  of  burglary,  larceny-theft,  and  motor  vehicle  theft.  Data  are 

not  included  for  the  property  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. 


Table  3.  —  Index  of  Crime,  Regional  Offense  and  Population  Distribution,  1987 


Region 

Population 

Crime 
Index 
total 

Modified 
Crime 
Index 

total 

Violent 
crime" 

Property 
crime" 

Murder 
and   non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
thefl 

Motor 
vehicle 
theft 

Arson' 

United  States  Total^         

100.0 

100.0 

100.0 

100.0 

100.0 

100.0 

100.0 

100.0 

100.0 

100.0 

100.0 

Northeastern  Stales 
Midwestern  States 
Southern  States 
Western  States 

20  7 

245 
34  5 
204 

180 
21,6 
36  6 
23,8 

21,5 
20.2 
34.3 

239 

17.6 
21,8 
36,9 

23,7 

17,2 
19,8 
41,9 
21,1 

16,2 

24,3 
362 
23  4 

27,6 
19  9 

31  1 
214 

18,6 
20,0 
35,9 
25,6 

16,0 
20,0 
40,6 
23.4 

17.1 
22.9 
36.2 
23,8 

24.5 
19.7 
31.4 
244 

'Alihough  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-lhefi,  and  motor  vehicle  theft    Data  are 
not   included  for  the  properly  crime  of  arson 

Because  of  rounding,  percentages  may  not  add  to  totals 


42 


Crime  Index  Total 


■•■  Number  of  Offenses  Known 
Up  12% 

■O-  Rate  per  100,000  Inhiabitants 
Up  7% 


1983 


1984 


1985 


1986 


1987 


43 


Table  4.  —  Index  of  Crime:  Region,  Geographic  Division,  and  State,  1986-1987 


F.ipuljlion 


Crime   Index   torul 


R;ilc  per 

100.000 


ModiTied  Crime 
Index   Idlul' 


Riile  per 

loo.ooo 


Violein   enme 


Rate  per 
100.000 


Prnperr> 


Rale  per 
100.000 


Murder  jnd   luin- 
negligeiil   manslaughler 


Rale  per 

100.000 


United  States  Total' 
Percent  change . 

Northeast 

Percent  change . 

New  England  

Percent  change . 
Connecticut    

Percent  change . 
Maine  

Percent  change 
Massachusetts 

Percent  change . 
New  Hampshire 

Percent  change 
Rhode  Island 

Percent  change 
Vermont 

Percent  change 
Middle  Atlantic 


Percent  change 
New  Jersey 

Percent  change  . 
New  York 


Percent  change 
Pennsylvania 

Percent  change 


See  footnotes  at  end  of  table. 


1986 
1987 


241,077,000 
243,400,000 


13,211,869 
13,508,708 

+2.2 


5,480.4 

5,550.0 

+  1.4 


1986 
1987 


50,018,000 
50,278,000 


1986 
1987 


1986 
1987 


1986 
1987 


1986 
1987 


1986 
1987 


1986 
1987 


1986 
1987 


1986 
1987 


1986 
1987 


1986 
1987 


1986 
1987 


12.7.17.000 
12.844.000 


3.189.000 
3.211.000 


1.174.000 
1.187.000 


5.832.000 
5.855.000 


1.027.000 
1,057.000 


975,000 
986.000 


541.000 
548.000 


2,366,805 

2,432,912 

+2.8 

573,603 

590.666 

+  3,0 

153.989 

160,413 

+4.2 

40,635 

41,928 

+  3,2 

275.465 

277.165 

+  6 

34,200 

35.6.19 

+4.2 

47,799 

52.115 

+9.0 

21.515 

23.406 


4.731.9 

4,838.9 

+2.3 

4.503.4 
4.598,8 

+  2,1 
4,828,8 
4,995,7 

+  3,5 
3,461,2 
3,532,3 

+2,1 
4,723,3 
4,733,8 
+  ,2 
3,3.10  1 
3,371.7 

+  1,2 
4,902,5 
5,285,5 

+  7,8 
3,976,9 
4,271  2 

+  7,4 


37,281,000 
37.433.000 


7.620.000 
7,672.000 


17.772.000 
17.825.000 


11.889.000 
11.936.000 


,793,202 
,842,246 

+  2.7 
399,387 
403,662 

+  11 
,025.037 
,061,021 

+  3,5 
368,778 
377,563 

+  2,4 


4,810,0 
4,921,4 

+  2,3 
5,241,3 
5,261,5 
+  ,4 
5,767,7 
5,952,4 

+3,2 
3.101  8 
3.163,2 

+  2,0 


1,489,169 

1,483,999 

-.3 


617.7 

609.7 

-1.3 


ll,722,70( 

12,024,709 

+  2.6 


4,862.6 

4,940.3 

+  1.6 


314,753 

319,482 

+  1.5 

53.291 

54,197 

+  1,7 

1.1,578 

13,455 

-,9 

1.726 

1.806 

+4,6 

32,476 

33,060 

+  1,8 

1,433 

1,581 

+  10,3 

3,271 

3,547 

+  8.4 

807 

748 

-7,3 


629.3 

635.4 

+  1.0 

418.4 
422.0 
+  .9 
425.8 
419.0 
-1.6 
147.0 
152.1 
+3.5 
556.9 
564.6 
+  1,4 
139.5 
149.6 
+7.2 
335,5 
359,7 
+7,2 
149,2 
136,5 
-8,5 


2,052,052 

2,113,430 

+3.0 

520.312 

536,469 

+  3,1 

140.411 

146.958 

+4,7 

38.909 

40.122 

+  3,1 

242,989 

244,105 

+  ,5 

32,767 

34.058 

+3,9 

44,528 

48.568 

+9,1 

20,708 

22.658 

+9,4 


4,102.6 
4,203.5 

+2.5 
4.085,0 
4.176,8 

+2,2 
4,403,0 
4,5767 

+  3,9 
3,314,2 
3,380,1 

+  2,0 
4,166,5 
4,169.2 
+  1 
3,190,6 
3,222.1 

+  1,0 
4,567.0 
4,925.8 

+  7.9 
3,827,7 
4,134,7 

+  8,0 


261,462 

265,285 

+  1,5 

43,623 

41,507 

-4,9 

175,210 

179,691 

+2,6 

42,629 

44,087 

+  34 


701,3 
708.7 

+  1.1 
572.5 
541.0 

-5.5 

985.9 

1,008,1 

+  2.3 
358.6 
369.4 

+  3.0 


1.531.740 
1.576.961 

+3.0 
355,764 
362,155 

+  1.8 
849.827 
881.330 

+  3.7 
326.149 
333.476 

+  2.2 


4,108.6 
4,212,8 

+  2,5 
4,668.8 
4.720,5 

+  1,1 
4,781,8 
4,9443 

+  3,4 
2,743,3 
2,793,9 

+  18 


20,613 
20,096 

-2.5 


3.412 

3,450 

+  1.1 

447 

441 

-1,3 

148 

156 

+  5,4 

23 

30 

+  .10,4 

208 

173 

-16,8 

23 

32 

+  39,1 

34 

35 

+2,9 

II 

15 

+  36,4 


2,965 

3,009 

+  1,5 

399 

351 

-12.0 

1,907 

2,016 

+5,7 

659 

642 

-2,6 


8.6- 
8.3 

-3.5 


6.8 

6.9 

+1.5; 

3,5 
3,4 
-2,9 
4,6 
4,9 
+6,5 
2,0 
2,5 

+25,0 
3,5 
3,0 

-16,7 
2,2 
3,0 

+  36,4 
3,5 
3,5 


2,0 

2,7 

K15,0 


8,0 
8,0 


5,2 

4,6 

-11,5 

10,7 

11,3 

+  5,6 

5,5 

5,4 

-1,8 


44 


able  4.  - 

-Index  of  Crime:  Region,  Geographic  Division,  and  State,   I986-I987 

Forcihlc  rape 

R(ihhcr\ 

.^ggr.ivjl 

■d   jssaull 

Burgtar\ 

L.irtcn\.|hef( 

Mutur  ve 

uile  Ihetl 

Arsi.n 

Number 

Rale  per 
100.000 

Number 

Rate  per 
100.000 

Number 

Rale  per 

100.000 

Number 

Rale  per 

100.000 

Number 

Rate  per 

100.000 

Number 

Rate  per 

100.000 

Number 

Rate  per 

100.000 

91,459 

37.9 

542,775 

225.1 

834,322 

346.1 

3.241.410 

1.344.6 

7,257,153 

3,010.3 

1.224,137 

507.8 

91,111 

37.4 

517,704 

212.7 

855,088 

351.3 

3.236,184 

1.329.6 

7,499,851 

3,081,3 

1,288,674 

529.4 

-.4 

-1.3 

-»,6 

-5.5 

+2.5 

+  1.5 

-.2 

-1.1 

+3.3 

+2.4 

+5,3 

+4.3 

14,143 

28.3 

149,133 

298.2 

148,065 

296.0 

521,550 

1,042.7 

1,236,788 

2,472.7 

293.714 

587.2 

14,725 

29.3 

142,661 

283.7 

158.646 

315.5 

518,356 

1,031.0 

1,278,953 

2,543.8 

316,121 

628.7 

+4,1 

+3.5 

-«.3 

-».9 

+7.1 

+6.6 

-.6 

-1.1 

+3.4 

+2.9 

+7.6 

+7.1 

.i:i3 

25.2 

19,215 

150,9 

30.416 

238.8 

135.583 

1.064.5 

305,488 

2,3984 

79,241 

622.1 

3,499 

27.2 

17.837 

138  9 

32,420 

252.4 

137.961 

1.074.1 

314.253 

2,446.7 

84,255 

656.0 

+  8,9 

+  7.9 

-7.2 

-8,0 

+6.6 

+  5.7 

+  1,8 

+  .9 

+2.9 

+  2.0 

+6.3 

+  5.4 

760 

23,8 

6.129 

192.2 

6.541 

205  1 

38.190 

1.197,6 

87,963 

2,758.3 

14,258 

447.1 

800 

24.9 

5,720 

178.1 

6.779 

211,1 

39.120 

1.218.3 

90.852 

2,829.4 

16,986 

529.0 

+  5.3 

+4.6 

-6.7 

-7.3 

+  3.6 

+2.9 

+2.4 

+  1.7 

+3.3 

+2.6 

+  19.1 

+  18.3 

174 
186 

14.8 

328 

27.9 

1.201 

102,3 

9.433 

803.5 

27,548 

2,346.5 

1,928 

1642 

15.7 

304 

25.6 

1.286 

108.3 

9,148 

770.7 

28,916 

2,436.1 

2,058 

173.4 

+6.9 

+6.1 

-7.3 

-8.2 

+  7.1 

+  5.9 

-3.0 

-AA 

+5.0 

+3.8 

+6.7 

+  5.6 

1.731 

29.7 

11.2.39 

192.7 

19.298 

330.9 

62,455 

1.0709 

127.668 

2,189.1 

52,866 

906.5 

1,868 

31.9 

10,379 

177.3 

20,640 

352.5 

62.056 

1.059.9 

127,939 

2,185,1 

54,110 

924.2 

+7.9 

+7.4 

-7.7 

-8.0 

+  7.0 

+6.5 

-.6 

-1.0 

+  .2 

-.2 

+  2.4 

+2.0 

221 

21.5 

242 

23,6 

947 

92.2 

7,754 

755.0 

22,675 

2,207.9 

2.338 

227.7 

281 

26.6 

280 

26.5 

988 

93.5 

7..344 

694.8 

24,426 

2,3109 

2.288 

216.5 

+  27.1 

+  23.7 

+  15.7 

+  12.3 

+4.3 

+  1.4 

-5.3 

-8.0 

+  7.7 

+4.7 

-2.1 

^.9 

209 

21.4 

1,157 

118.7 

1.871 

191.9 

12.616 

1,293.9 

25,041 

2,568.3 

6.871 

704.7 

241 

24.4 

1,062 

107.7 

2.209 

224.0 

14.208 

1.441.0 

26,635 

2,701.3 

7.725 

783.5 

+  15.3 

+  14.0 

-8.2 

-9.3 

+  18.1 

+  16.7 

+  12.6 

+  11.4 

+6.4 

+  5.2 

+  12.4 

+  11.2 

118 

21.8 

120 

22.2 

558 

103.1 

5.135 

949.2 

14,593 

2.697.4 

980 

181.1 

123 

22.4 

92 

16.8 

518 

94.5 

6.085 

1.110.4 

15,485 

2,825.7 

1.088 

198.5 

+4.2 

+  2-8 

-23  3 

-24  3 

-7.2 

-8.3 

+  18.5 

+  170 

+6.1 

+4,8 

+  11.0 

+9.6 

10,930 

29.3 

129,918 

348.5 

117.649 

315,6 

385,967 

1.035.3 

931,300 

2,498.1 

214.473 

575.3 

11,226 

300 

124,824 

333.5 

126,226 

337,2 

380,395 

1.016.2 

964.700 

2,577.1 

231.866 

619.4 

+2.7 

+2.4 

-3.9 

-4.3 

+  7.3 

+6,8 

-1.4 

-1.8 

+  3.6 

+  3.2 

+8.1 

+  7.7 

2,531 

33.2 

20,473 

268.7 

20.220 

265.4 

81.595 

1.070.8 

215.073 

2,822.5 

59.096 

775.5 

2,559 

33.4 

17,862 

232.8 

20.735 

270.3 

77.392 

1.008.8 

219.906 

2,866.3 

64.857 

845.4 

+  1.1 

+  .6 

-12.8 

-13.4 

+  2.5 

+  1.8 

-5.2 

-5.8 

+2.2 

+  1.6 

+9.7 

+9.0 

5,415 

30.5 

91.360 

514.1 

76,528 

4.30.6 

217,010 

1.221.1 

519.570 

2.923.5 

113.247 

637.2 

5,537 

31.1 

89.721 

503.3 

82.417 

4624 

216.826 

1,216.4 

539.175 

3.024.8 

125.329 

703  1 

+2.3 

+2.0 

-1.8 

-2.1 

+7.7 

+  7.4 

-.1 

-.4 

+  3.8 

+3.5 

+  10.7 

+  10.3 

2,984 

25.1 

18,085 

152.1 

20.901 

175.8 

87.362 

734.8 

196.657 

1.654.1 

42.130 

354.4 

3,130 

26  2 

17,241 

144.4 

23,074 

193,3 

86.177 

722.0 

205.619 

1.722.7 

41.680 

349,2 

+  4.9 

+  44 

-t,7 

-5,1 

+  10.4 

+  10,0 

-14 

-1.7 

+4.6 

+4.1 

-1.1 

-1,5 

45 


Table  4.  —  Index  of  Crime:  Region, 

Geographic  Division,  and  State,  1986-1987 —  Continued 

.           . 

M.iclil'icd   Crime 

Murder  a 

nd   non- 

Crinii;   Index   loljl       1 

Vuilcnl 

crime' 

Proper!  > 

erime 

Year 

Popublioii' 

Index   loldl- 

negligent   manMaugnter 

Area 

Number 

Rale  per 
100.000 

Number 

Rale  per 
100.000 

Number 

Rale   per 

100.000 

Number 

Rate  per 
100.000 

Number 

Rate  per 
100.000 

Midwest** 

1986 
1987 

59,315,000 
59,538,000 

2,867.406 
2,921.901 

4,834.2 
4.907.6 

304.014 
300.237 

512.5 
504.3 

2.563,392 
2,621,664 

4,321,7 
4,403.3 

3,941 
3,978 

6.6 

6.7 

Percent  change  

+  1.9 

+  1.5 

-1.2 

-1.6 

+2,3 

+  1.9 

+.9 

+  1.5 

East  North  Central'*     

1986 

l')87 

41.738,000 
41.104,000 

2.112.257 
2.143,057 

5.060.8 
5.114.2 

241.507 
239.607 

578,6 
571,8 

1.870,750 
1.903,450 

4,482.1 
4,542.4 

3.128 
3.196 

7.5 

7.6 

Percent  change 

+  1.5 

+  1,1 

-.8 

-1,2 

+  1.7 

+  1.3 

+  2.2 

+  1.3 

Illinois' 

1186 

11.553,000 

641.765 

5,555.0 

13,454 

8089 

548,311 

4,746.0 

1,023 

8.9 

1187 

11.582,000 

627.342 

5,416.5 

12,216 

716,2 

535,126 

4,620.3 

967 

8.3 

Percent  change      

-2.2 

-2.5 

-13 

-1,6 

-2,4 

-2.6 

-5.5 

-6.7 

Indiana                        

1186 
1187 

5,504,000 
5,531,000 

212.170 
227.864 

3,8548 
4,111.8 

16,137 
18,169 

307,7 
328.5 

115,233 
201,695 

3,547.1 
3,791.3 

329 
307 

6.0 

5.6 

Percent  change      

+7.4 

+61 

+  7.3 

+6.8 

+7.4 

+6.9 

-6.7 

-6.7 

Mifhioan 

1186 
1987 

1,145.000 
1.200.000 

593.644 
594,026 

6.411,5 
6.456.8 

73,517 
71.772 

803.1 
780.1 

520,127 
522,254 

5,687.6 
5,676.7 

1,032 
1,124 

113 

JT^IVrll'^Ull                                                                                                                                 ..,..,,.....,,,.-,.,---...,-P. 

12.2 

Percent  change         

+.1 

-.5 

-2,4 

-3-0 

+  ,4 

-.2 

+8.9 

+  8.0 

Ohio 

1186 

10,752,000 

468,647 

4.358.7 

45.260 

4209 

423,387 

3,937.8 

595 

5.5 

1187 

10,784,000 

413,400 

4.5753 

45.436 

421  3 

447,164 

4.154.0 

630 

5.8 

Percent  change 

+  5.3 

+  5.0 

+  .4 

+  .1 

+  5,8 

+  5.5 

+  5.9 

+  5.5 

Wisconsin 

1186 

4,785.000 

116.031 

4.016,8 

12.3.31 

257.1 

183.612 

3,838.1 

141 

3.1 

1187 

4,807.000 

200,425 

4.161.4 

12.014 

241.1 

188,411 

3,119.5 

168 

3.5 

Percent  change       

+  2.2 

+  1.8 

-2.6 

-3.1 

+2,6 

+  2.1 

+  12.8 

+  12.9 

West  North  Central         

1186 
1187 

17,577.000 
17,634.000 

755,141 
778,844 

4,216.2 
4,4167 

62,507 
60,630 

3556 
343.8 

612,642 
718,214 

3,140.6 
4,072.9 

813 

782 

4,6 

4.4. 

+  3.1 

+  2,8 

-30 

-3.3 

+  3,7 

+  3.4 

-3.8 

^.3 

Iowa 

1186 

2,851.000 

118,336 

4,150,7 

6,703 

235.1 

111,633 

3,115.6 

51 

1.8 

1187 

2.834.000 

117,334 

4,140.2 

6.553 

231.2 

110,781 

3,101.0 

51 

2.1 

Percent  change 

-.8 

-3 

-2.2 

-1.7 

-,8 

-.2 

+  157 

+  167 

Kansas          

1186 
1187 

2.461,000 
2.476.000 

118,683 
121,420 

4,822  6 
4,103.1 

9.076 
8.132 

368.8 
360,7 

101.607 
112.488 

4,4538 
4,543  1 

108 
110 

44 

4.4 

Percent  change 

+  2  3 

+  17 

-16 

-2,2 

+2,6 

+  2,0 

+  1.1 

Minnesota 

1186 

4.214,000 

183,823 

4,362.2 

11.111 

284,6 

171.832 

4.077.6 

105 

2.5 

1987 

4,246,000 

115,186 

4,6158 

12.118 

285,4 

183.868 

4.330.4 

112 

2.6 

Percent  change 

+6.6 

+  5.8 

+  1,1 

+  ,3 

+  7.0 

+6.2 

+67 

+4.C 

Missouri 

1186 

5,066,000 

235,773 

4,654.0 

21.310 

578,6 

206.463 

4,075.5 

464 

9.2 

1187 

5.103,000 

240,222 

4,707,5 

27.792 

544,6 

212.430 

4,162.8 

423 

8.3 

Percent  change 

+  1.1 

+  1,1 

-5.2 

-5.9 

+  2.1 

+  2,1 

-8,8 

-9.f 

Nebraska 

1986 

1.518,000 

61,614 

3,8557 

4,116 

262,6 

57,418 

3,593,1 

50 

3.1 

1987 

1.514.000 

65,857 

4,131.6 

4,004 

251-2 

61.853 

3,880  4 

55 

3.5 

Percent  change 

+6.9 

+  7.2 

^.6 

-t.3 

+7.7 

+8.0 

+  10,0 

+  12.? 

North  Dakota 

1186 

671.000 

17,611 

2.605.4 

348 

51.3 

17.343 

2,554.2 

7 

l.C 

1187 

672.000 

11,038 

2.833.0 

382 

56.8 

18.656 

2.776.2 

10 

1.5 

Percent  change 

+7,6 

+  87 

+1.8 

+  10,7 

+7.6 

+8.7 

+42.1 

+  50.C 

South  Dakota 

1186 

708.000 

11,221 

2.716.0 

883 

1247 

18.346 

2,591.2 

28 

4.C 

1187 

709.000 

18,987 

2.678.0 

841 

111.7 

18.138 

2,558.3 

13 

1.8 

Percent  change  

-1  3 

-1  4 

-31 

-4,0 

-1  1 

-1  3 

-53.6 

-55.C 

See  footnotes  at  end  of  table. 


46 


i^ble  4.  —  Index  of  Crime:  Region,  Geographic  Division,  and  State,  1986-1987  —  Continued 


Forcible  rape 

RdbSery 

Aggravar 

ed  assaull 

llurglar> 

Larectiv-lhert 

MdlDr  ve 

iicic  Ihefl 

Arson 

Number 

Rale  per 

100,000 

Number 

Rate  per 
100.000 

Number 

Rale  per 

100,000 

Number 

Rale  per 

100.000 

Number 

Rale  per 

100.000 

Number 

Rale  per 
100.000 

Number 

Rale  per 

100.000 

22,049 

37.2 

105,910 

178.6 

172,114 

290.2 

641,673 

1,081.8 

1,655,942 

2,791.8 

265,777 

448.1 

22,106 

37.1 

103,128 

173.2 

171.025 

287.3 

647,839 

1,088.1 

1,720,150 

2,889.2 

253,675 

426.1 

+.3 

-.3 

-2.6 

-3.0 

-.6 

-1.0 

+  1.0 

+.6 

+3.9 

+3.5 

-4.6 

^.9 

17.468 

41  9 

88.853 

212  9 

132.058 

316  4 

465,824 

1.118,5 

1.187,578 

2.845-3 

216.348 

518.3 

17.495 

418 

86.452 

205.3 

132.454 

315  1 

471.194 

1.1245 

1.227.835 

2.9.10-1 

204.421 

487.8 

+.2 

-.2 

-2.7 

-3.1 

+.3 

-1 

+  .9 

+  .5 

+  3,4 

+  3-0 

-5.5 

-5.9 

4.755 

41.2 

37.583 

325.3 

50.083 

433.5 

136.305 

1.179,8 

3.19.418 

2.937,9 

72,587 

628.3 

4.443 

38,4 

36.406 

314.3 

50.400 

435.2 

1.10.147 

1.123,7 

342.492 

2.957, 1 

62.487 

5.19.5 

-6.8 

-6.8 

-3.1 

-3.4 

+.6 

+  4 

^5 

^,8 

+  9 

+  7 

-13.9 

-141 

1.424 

25.9 

4.954 

90.0 

10.230 

185,9 

48.802 

886  7 

128.404 

2.332,9 

18.027 

327.5 

1.609 

29.1 

4.901 

886 

11.352 

205  2 

52.363 

945.7 

1-17.722 

2.490,0 

19.610 

3545 

+  13.0 

+  12.4 

-1.1 

-1.6 

+  11.0 

+  10,4 

+  73 

+58 

+  7  3 

+6,7 

+8.8 

+  8.2 

6,167 

67.4 

27.550 

301,3 

38.768 

423,9 

138,040 

1.509  5 

-108,894 

3.377,7 

73.193 

800.4 

6.184 

67.2 

25.442 

275,5 

39.022 

424,2 

131.602 

1.452.2 

319.470 

3.472,5 

69.182 

752.0 

+  .3 

-.3 

-7.7 

-8,2 

+  7 

+  ,l 

-3  2 

-3.8 

+  3  4 

+  2,8 

-5.5 

-5.0 

4151 

38.6 

15.283 

142,1 

25.231 

234,7 

105.212 

987.8 

276.779 

2.574,2 

40.396 

375.7 

4,305 

39.9 

16.511 

153,1 

23.990 

222,5 

114580 

1.052.5 

292.093 

2.708,6 

41.291 

382.9 

+  3,7 

+  3,4 

+8,0 

+  7,7 

^9 

-5,2 

+7.9 

+7.5 

+  5,5 

+5,2 

+2.2 

+  1.9 

961 

20.1 

3.483 

72,8 

7.745 

151.9 

37.454 

782.9 

134.083 

2.802,2 

12.145 

253.8 

954 

19.8 

3.192 

66,4 

7.700 

160.2 

40.502 

842.6 

135.058 

2,830.4 

11.851 

246.5 

-.7 

-1.5 

-8,4 

-8,8 

-6 

-1.1 

+  8.1 

+  7  5 

+  1  5 

+  10 

-24 

-2.9 

4,581 

26.1 

17.057 

97,0 

40,056 

227.9 

174.849 

994.8 

468.364 

2.654,5 

49.429 

281.2 

4,611 

26.1 

16.676 

946 

.38.561 

218,7 

175.545 

1.001,7 

492.315 

2.791.9 

49,254 

279.3 

+.7 

-2,2 

-2,5 

-3  7 

^0 

+  1.0 

+  ,7 

+  5,1 

+4,8 

-4 

-7 

356 

12.5 

1.197 

42,0 

5.099 

178,8 

27.255 

955,0 

79.864 

2,801  3 

4.514 

158,3 

337 

11.9 

1.025 

352 

5.132 

181,1 

25.010 

917,8 

80.489 

2,840,1 

4282 

151,1 

-5.3 

-4.8 

-144 

-13,8 

+  6 

+  1,3 

-4b 

-4,0 

+  8 

+  1,4 

-5.1 

-4,5 

810 

32.9 

1.958 

79.6 

5.200 

251,9 

29.229 

1.187,7 

74.029 

3.008,1 

6,349 

258,0 

808 

32.6 

2.032 

82,1 

5.982 

241,6 

28.177 

1,138,0 

78.043 

3.152,0 

5.258 

253,2 

-.2 

-.9 

+  3,8 

+  3,1 

-3,5 

^,1 

-3.5 

-t,2 

+  5.4 

+48 

-1.3 

-1,9 

1,338 

31.8 

4,299 

102,0 

5,249 

148,3 

42.319 

1.004,2 

117.371 

2,785,3 

12.142 

288,1 

1,439 

33.9 

4.354 

102,5 

5,213 

146,3 

45.384 

1.068,9 

125.686 

2.960.1 

12.798 

301,4 

+7.5 

+6.6 

+  1,3 

+  5 

-6 

-1,3 

+  7.2 

+6,4 

+  7-1 

+6,3 

+  5.4 

+46 

1,480 

29.2 

8.624 

170,2 

18.742 

370,0 

57.556 

1.1351 

125.674 

2.500,5 

22.233 

438,9 

1,473 

28.9 

8.375 

164  1 

17.520 

.143,3 

55.711 

1.111,3 

133.954 

2,525,2 

21.755 

425,3 

-.5 

-1.0 

-2,9 

-3,6 

-6,5 

-7,2 

-1,5 

-2,2 

+  5,8 

+5,0 

-2.1 

-2,9 

393 

24.6 

817 

51-1 

2.935 

183,7 

11.956 

748,2 

42.784 

2.677.3 

2.578 

167.6 

1            3« 

21.6 

751 

47,1 

2.853 

179,0 

13.516 

847,9 

45.692 

2,855.5 

2.545 

165.9 

-12.2 

-12.2 

-8.1 

-7,8 

-2.8 

-2.6 

+  13,0 

+  13,3 

+6,8 

+  7.1 

-1.2 

-1.0 

79 

11.6 

47 

5.9 

215 

31.7 

2.615 

385,1 

13.914 

2,049.2 

814 

119,9 

1              63 

9.4 

51 

7.5 

258 

38.4 

3.060 

455,4 

14.768 

2.197.6 

828 

123,2 

-20.3 

-19.0 

+  8,5 

+  10.1 

+20.0 

+  21.1 

+  17,0 

+  18,3 

+6-1 

+  72 

+  1.7 

+  2,8 

125 

17.7 

115 

16.2 

615 

869 

3.919 

553,5 

13.728 

1.939  0 

699 

98,7 

146 

20.5 

87 

12.3 

603 

85.0 

3,787 

5341 

13,673 

1.928.5 

678 

95,6 

+  16.8 

+  16,4 

-24.3 

-24.1 

-2.0 

-2.2 

-3,4 

-3,5 

--4 

-.5 

-3.0 

-3.1 

47 


Table  4.  —  Index  of  Crime:  Region, 

Geographic  Division,  and  State,   1986-1987 — Continued 

Crime  Index  loljl 

MiHlifict)  CnnK- 

Vi„knl 

cnnie 

Froperl 

crime 

Murder  and  nnn- 

Year 

Popublioii' 

Index   Inlal 

negllgenl   manslaughler 

Area 

NumbtT 

Rale  per 

100,000 

Numticr 

Rale  per 
100,000 

NunilXT 

Rale   per 
100,000 

Number 

Rale  per 
100,000 

Number 

Rale  per 
100.000 

South 

1986 
1987 

82.985.000 
83,884.000 

4.737.997 
4.943.277 

5.709.5 
5.893.0 

516.005 
509.260 

621.8 
607.1 

4,221.992 
4,434.017 

5,087.7 
5,285.9 

8,760 
8,420 

10.6 

10.0 

Percent  change  

+4.3 

+3.2 

-1.3 

-2.4 

+5.0 

+3.9 

-3.9 

-5.7 

South  Allaniic                  

1986 
1987 

40.916.000 
41.684.000 

2.342,072 
2.465.814 

5.724  1 
5.915.5 

279.966 
280.477 

684.2 
672.9 

2,062.106 
2.185,337 

5.039.9 
5.242.5 

4.014 
4.165 

98 

10.0 

Percent  change 

+5,3 

+  3.3 

+  .2 

-1.7 

+5.0 

+4.0 

+3.8 

+2.0 

Delaware 

1986 

633.000 

30,584 

4.831.6 

2,703 

427.0 

27.881 

4.404.5 

31 

4.9 

1987 

644.000 

31,806 

4.938.8 

2,774 

430.7 

29.032 

4,508.1 

33 

5.1 

Percent  change 

+4.0 

+2.2 

+2.6 

+  .9 

+4,1 

+2.3 

+5.5 

+4.1 

District  of  Columbia^ 

1986 

626,000 

52,204 

8.339.3 

9,423 

1,5053 

42,781 

6,834,0 

194 

310 

1987 

622.000 

52,569 

8.451.6 

10.016 

1,610.3 

42.553 

6.841.3 

225 

36.2 

Percent  change 

+,7 

+  1.3 

+6.3 

+7.0 

-.5 

+.1 

+  15.0 

+  16.8 

Florida 

1986 

11,675.000 

960.664 

8.228,4 

121,013 

1,036.5 

839,651 

7,191.9 

1.371 

11.7 

1987 

12,023.000 

1.022,335 

8,503.2 

123,168 

1,024.4 

899.157 

7,478,7 

1.371 

11.4 

Percent  change                     

+6.4 

+  3.3 

+  1.8 

-1.2 

+7.1 

+4,0 

-2.5 

Georgia  

1986 

6,104,000 

332,999 

5.455.4 

35,869 

587.5 

297.130 

4,867.8 

686 

11.2 

1987 

6,222.000 

360,379 

5.792.0 

35,868 

576.5 

324.511 

5,215.5 

735 

11.8 

Percent  change 

+8.2 

+6.2 

-1.9 

+9,2 

+  7.1 

+7.1 

+  5.4 

Maryland 

1986 

4,463,000 

250,008 

5.601.8 

37,177 

833.0 

212.831 

4,768,8 

401 

9.0 

1987 

4,535,000 

248,409 

5.477.6 

34.820 

757.8 

213.589 

4,709,8 

436 

9.5 

Percent  change 

-.6 

-2-2 

-6.3 

-7.8 

+.4 

-1,2 

+8.7 

+6.7 

North  Carohna 

1986 

6,331,000 

274,249 

4.331.8 

30.128 

475.9 

244.121 

3.855,0 

515 

8.1 

1987 

6,413,000 

298.196 

4,6499 

31,039 

484.0 

257,157 

4.165,9 

519 

8,1 

Percent  change 

+8.7 

+  7.3 

+3.0 

+  1.7 

+9,4 

+8.0 

+,8 

South  Carohna 

1986 

3.378,000 

173,541 

5.137.4 

22.789 

674.5 

150.752 

4,462.8 

291 

8,5 

1987 

3.425,000 

176.794 

5.161.9 

22.773 

654.9 

154.021 

4.497.0 

318 

9.3 

Percent  change 

+  1.9 

+.5 

-1 

-1.4 

+  2.2 

+.8 

+9,3 

+  8,1 

Virginia 

1986 

5.787,000 

223.366 

3.859.8 

17.708 

306.0 

205,558 

3,553.8 

411 

7.1 

1987 

5,904,000 

233.768 

3.959.5 

17,414 

295.0 

216.354 

3,664.5 

437 

7,4 

Percent  change 

+4.7 

+2.6 

-1.7 

-3.6 

+5.2 

+3.1 

+6.3 

+4,2 

West  Virginia 

1986 

1,919,000 

44.457 

2.316.7 

3.156 

154.5 

41.301 

2,152.2 

114 

5.9 

1987 

1,897,000 

41,558 

2,190,7 

2.605 

137.3 

38.953 

2,053.4 

92 

4.8 

Percent  change 

-6  5 

-5.4 

-17.5 

-165 

-5.7 

-1.5 

-19.3 

-18.6 

East  South  Central 

1986 

15,209,000 

594,672 

3,9100 

68.198 

448.4 

526,474 

3.461,6 

1.453 

«  h 

1987 

15,290.000 

620,403 

4,057  6 

68.403 

447.4 

552.000 

3.610,2 

1.373 

•4  n 

Percent  change 

+4.3 

+  38 

+.3 

_2 

+4.8 

+4.3 

-5.5 

-ri  .' 

Alabama 

1986 

4,053,000 

173,807 

4.288.4 

22.616 

558.0 

151.191 

3.730.3 

409 

10.1 

1987 

4,083,000 

181,751 

4.451.4 

22.833 

559.2 

158.918 

3.892.2 

380 

9.3 

Percent  change 

+46 

+3.8 

+  1.0 

+.2 

+5,1 

+4.3 

-7.1 

-7.9 

Kentucky 

1986 
1987 

3.728.000 
3,727,000 

115,277 
121.873 

3.092.2 
3.2700 

12.467 
12.589 

334.4 

102,810 

2.757.8 

248 
280 

6.7 

337.8 

109.284 

2.932.2 

7.5 

Percent  change 

+5.7 

+  5.7 

+  1.0 

+  1.0 

+5,3 

+6.3 

+  12,9 

+  11.9 

Mississippi                            

1986 

2,625.000 

87,808 

3.345.1 

7.196 

274.1 

80.612 

3.070.9 

295 

11.2 

1987 

2,625.000 

90.263 

3.438.6 

7.081 

259.8 

83.182 

3.168,8 

269 

102 

Percent  change                    

+2.8 

+2.8 

-1.5 

-15 

+  3,2 

+3,2 

-8,8 

-8.9 

Tennessee                              

1986 

4,803.000 

217,780 

4.534.2 

25.919 

539.5 

191,861 

3.994.6 

501 

10.4 

1987 

4,855,000 

226,516 

4.665.6 

25.900 

533.5 

200,615 

4.132.2 

444 

9.1 

Percent  change 

+4.0 

+2.9 

-.1 

-1.1 

+4.5 

+3.4 

-11,4 

-12.5 

West  South  Central 

1986 

26,861,000 

1,801,253 

6.705.8 

167,841 

524.9 

1.633.412 

6.081.0 

3.293 

12,3 

1987 

26,910,000 

1.857,060 

6.901.0 

160.380 

595.0 

1.696.680 

6.305.0 

2.881 

10.7 

Percent  change 

+3.1 

+2.9 

-AA 

^.6 

+3,9 

+3.7 

-12.5 

-13.0 

Arkansas 

1986 

2,372.000 

93,094 

3.924.7 

9.355 

394.8 

83.729 

3.529.9 

191 

8.1 

1987 

2.388.000 

101,376 

4.245,2 

9.839 

412.0 

91.537 

3.833,2 

182 

7.5 

Percent  change 

+8.9 

+8.2 

+5,1 

+4.4 

+9.3 

+8,6 

-A.l 

-6.2 

Louisiana 

1986 

4,501.000 

273,572 

6.078.0 

34,128 

758.2 

239,444 

5.319,8 

575 

12.8 

1987 

4,461.000 

262,006 

5.873.3 

30,916 

693.0 

231,090 

5.180.2 

496 

11.1 

Percent  change 

^.2 

-3.4 

-9.4 

-8.6 

-3,5 

-2.6 

-13.7 

-13.3 

Oklahoma 

1986 

3,305,000 

198,765 

6.014  1 

14,423 

4354 

184,342 

5.577.7 

269 

8.1 

1987 

3,272,000 

197,159 

6.025.6 

13,564 

4176 

183,495 

5.608,0 

244 

7.5 

Percent  change         

-.8 

+.2 

-5.3 

•^.3 

-.5 

+.5 

-9.3 

-7.4 

Texas                          

1986 
1987 

16,682,000 
16,789.000 

1.235.822 
1.296.519 

7.408. 1 

7.722.4 

109.925 
105.961 

558,9 
531  1 

1.125,897 
1.190.558 

6.749.2 
7.091.3 

2.258 
1,959 

13.5 

11.7 

Percent  change         

+4.9 

+4.2 

-3.6 

-4.2 

+5.7 

+5.1 

-13.2 

-13.3 

See  footnotes  at  end  of  table. 


48 


fable  4.- 

-  Index  of  Crime:  Region,  Geographic  Division,  and  State,  1986-1987 — Continued 

Forcible  rape 

Robberv 

Aggra\jtcd  assuult 

Burglar) 

Larcer 

S-lhefl 

Mirrtir  \e 

hiele  Ihcfl 

Arson" 

Number 

Rale  per 
100,000 

Number 

Rale  per 
100.000 

Number 

Rale  per 
100.000 

Number 

Rale  per 
100.000 

Number 

Rale  per 
100.000 

Number 

Rale  per 
100,000 

Number 

Rate  per 
100,000 

33.670 

40.6 

165.547 

199.5 

308,028 

371.2 

1.263.456 

1,522.5 

2,578.661 

3,107.4 

379,875 

457.8 

32.958 

39.3 

160.979 

191.9 

306,903 

365.9 

1.312.800 

1,565.0 

2.716,333 

3,238.2 

404,884 

482.7 

-2.1 

-3.2 

-2.8 

-3.8 

-.4 

-1.4 

+3.9 

+2.8 

+5.3 

+4.2 

+6.6 

+5.4 

16.425 

401 

90,770 

221.8 

168,757 

4124 

602.885 

1.4735 

1,292,494 

1.158  9 

166.727 

407  5 

16.520 

396 

90.619 

217.4 

169,172 

405.8 

631.019 

1.513,8 

1,355,577 

3.276.0 

188.741 

452.8 

+.6 

-1.2 

-.2 

-2.0 

+  ,2 

-1.6 

+4,7 

+2,7 

+  5.7 

+  3.7 

+  13.2 

+  11.1 

360 

56.9 

786 

124.2 

1,526 

241.1 

6.598 

1.042,3 

19.562 

3.090.4 

1.721 

271.9 

441 

68.5 

789 

122.5 

1,511 

234.6 

6.572 

1.020.5 

20,453 

3.175.9 

2.007 

311.6 

+22.5 

+  204 

+  .4 

-1.4 

-1.0 

-2.7 

-.4 

-2.1 

+4.6 

+2.8 

+  16.6 

+  14.6 

328 

52.4 

4,720 

754.0 

4.181 

667.9 

10.815 

1,727.6 

25,861 

4,131.2 

6,105 

975.2 

245 

394 

4,462 

7174 

5.084 

817.4 

11.244 

1,807.7 

25.012 

4.021  2 

5,297 

1.012.4 

-25.3 

-24.8 

-5.5 

-4,9 

+21  6 

+22.4 

+4.0 

+4.5 

-3  3 

-2.7 

+3.1 

+  3.8 

6.152 

52.7 

42,822 

366.8 

70,668 

605.3 

259,331 

2,221.3 

510,496 

4.372.5 

69,824 

598.1 

6.032 

50.2 

42.869 

356.6 

72,896 

606.3 

271,346 

2,256.9 

545,456 

4,5452 

81,355 

6757 

-2,0 

-4.7 

+  1 

-2.8 

+3.2 

+  .2 

+4.6 

+  1.5 

+  7.0 

+3.9 

+  16.5 

+  13.1 

2.678 

43.9 

13.056 

213.9 

19,449 

318.6 

88,695 

1,453.1 

182,171 

2,984.5 

25,264 

4303 

2.681 

43.1 

13.014 

209.2 

19,438 

312.4 

96,572 

1,552,1 

197,302 

3,171.0 

30.537 

492.4 

+.1 

-1.8 

-.3 

-2.2 

-.1 

-1.9 

+  8.9 

+5,8 

+  8.3 

+6.2 

+  16.7 

+  14.4 

1.944 

43.6 

13,569 

304,0 

21,263 

476.4 

55,593 

1,245,6 

132,904 

2,977.9 

24.334 

545.2 

1.795 

39.6 

13,164 

290,3 

19.425 

428.3 

52,718 

1,162,5 

134,485 

2,965.5 

26.385 

581.8 

-7.7 

-9.2 

-3.0 

^,5 

-8.6 

-10.1 

-5.2 

-5,7 

+  1.2 

-4 

+  8.4 

+6.7 

1,673 

26.4 

5.551 

87,7 

22,389 

353.6 

77.557 

1,225,0 

153,378 

2,422.7 

13.186 

208.3 

1.863 

29.1 

6.023 

93.9 

22,634 

352.9 

86,964 

1,3551 

165,841 

2,586.0 

14.352 

223.8 

+  11.4 

+  10.2 

+8,5 

+7.1 

+  11 

-.2 

+  12.1 

+  107 

+8.1 

+6.7 

+  8.8 

+7.4 

1,395 

41.3 

3,351 

99.5 

17,742 

525.2 

45.276 

1,340.3 

96,132 

2,845.8 

9.344 

276.6 

1.497 

43.7 

3,463 

101.1 

17,495 

510,8 

46.511 

1.358.0 

97,892 

2,858.2 

9.618 

280.8 

+7.3 

+5.8 

+  3.0 

+  1.6 

-1.4 

-2,7 

+2.7 

+  1.3 

+  1.8 

+.4 

+2.9 

+  1.5 

1.533 

26.5 

6.118 

105.7 

9,645 

165.7 

47.021 

812.5 

145,935 

2,521.8 

12.702 

219.5 

1.537 

26.0 

6.244 

105.8 

9.196 

155.8 

47.642 

8069 

153,590 

2,503,2 

15.022 

254.4 

+.3 

-1.9 

+2.1 

+.1 

-4.7 

-5.5 

+  1.3 

-.7 

+  5.3 

+  3,2 

+  18.3 

+  15.9 

362 

18.9 

787 

41.0 

1.893 

98.6 

11.999 

625.3 

26,055 

1,357,7 

3,247 

159.2 

429 

22.6 

591 

31,2 

1.493 

78.7 

11.450 

603.5 

24,435 

1,288,1 

3,057 

161  7 

+  18.5 

+  196 

-249 

-23-9 

-21  1 

-20.2 

-46 

-3  5 

-6.2 

-5.1 

-5.5 

-44 

4.944 

32.5 

19.274 

126,7 

42.527 

279.6 

169.590 

1.115  1 

308,811 

2,0304 

48,073 

3151 

,            4,818 

31.5 

18.847 

123,3 

43.365 

283.6 

177,657 

1.1620 

324,684 

2,123,5 

49,649 

324.7 

i             -2.5 

-3.1 

-2.2 

-2,7 

+20 

+  1.4 

+4.8 

+4.2 

+  5  1 

+4,5 

+3.3 

+2.7 

1,150 

28.4 

4.523 

111,6 

16.534 

407.9 

45,974 

1.1590 

93,396 

2,304,4 

10,821 

267.0 

1.137 

27.8 

4.581 

112,2 

16.735 

409  9 

48,927 

1.198.3 

99.260 

2.431,1 

10,731 

262.8 

-1.1 

-2.1 

+  1.3 

+.5 

+  1.2 

+  .5 

+4.2 

+  3.4 

+53 

+  5,5 

-.8 

-1.6 

860 

23.1 

3.076 

82.5 

8,283 

222.2 

30,725 

824.2 

54,882 

1,740,4 

7,203 

193.2 

781 

21.0 

3,361 

90.2 

8,157 

219.1 

31,571 

847.1 

70,532 

1,892,5 

7.181 

192.7 

-9.2 

-9.1 

+9.3 

+9.3 

-1.4 

-1.4 

+2.8 

+2,8 

+8.7 

+8,7 

-.3 

-.3 

678 

25.8 

1,697 

64.5 

4.526 

172.4 

28,242 

1.075,9 

48,430 

1,845,0 

3.940 

150.1 

767 

29,2 

1,496 

57.0 

4,549 

173.3 

31,537 

1.201,4 

47,433 

1,807,0 

4.212 

150.5 

+  13.1 

+  13  2 

-11.8 

-11.8 

+  .5 

+  .5 

+  11.7 

+  11,7 

-2.1 

-2,1 

+5.9 

+6.9 

2.256 

47.0 

9.978 

207,7 

13,184 

274.5 

63,649 

1.325,2 

102.103 

2,125.8 

25,109 

543.5 

2.133 

43.9 

9.409 

193,8 

13,914 

2866 

65,632 

1.351  8 

107.459 

2.213.4 

27,525 

566.9 

-5  5 

-66 

-5.7 

-6,7 

+  5.5 

+44 

+  1  1 

+  20 

+  52 

+4.1 

+  54 

+4.3 

12,301 

45.8 

55.503 

206,6 

96,744 

360,2 

490,981 

1.827,9 

977.356 

3,638.5 

155,075 

514.6 

11.620 

43.2 

51.513 

191,4 

94,366 

3507 

504,114 

1.873,3 

1.025.072 

3,813.0 

156,494 

518.7 

-5.5 

-5.7 

-7.2 

-7,4 

-2,5 

-2.6 

+2.7 

+  25 

+  5.0 

+4.8 

+  .9 

+  .7 

686 

28.9 

1.890 

79,7 

6.598 

278.2 

24,429 

1,029  9 

54.677 

2,305,1 

4.623 

194.9 

779 

32.6 

1.890 

79.1 

6.988 

2926 

25.743 

1,078,0 

60,862 

2,548.7 

4.932 

206.5 

+  13.6 

+  12.8 

-.8 

+5,9 

+  5.2 

+  5  4 

+47 

+  11.3 

+  106 

+6.7 

+6.0 

1,806 

40.1 

10.071 

223.8 

21.676 

481.6 

65.751 

1,460,8 

153,818 

3,417.4 

19,875 

441.5 

1,600 

35.9 

7,987 

179  0 

20.833 

467.0 

64.441 

1.444.5 

148,247 

3.323.2 

18,402 

412.5 

-11.4 

-10.5 

-207 

-20.0 

-3,9 

-3.0 

-2,0 

-1.1 

-3.5 

-2.8 

-7.4 

-6.6 

1.202 

36.4 

3,521 

106.5 

9,431 

285.4 

59.054 

1.786.8 

103,832 

3,141.7 

21,456 

649.2 

1.173 

35.8 

3,583 

109,5 

8,664 

264.8 

58,333 

1,782.8 

105,369 

3,220.3 

19,793 

604.9 

-2.4 

-16 

+  18 

+  28 

-8.1 

-7  2 

-12 

_  2 

+  15 

+  2.5 

-78 

-6.8 

8,607 

51.6 

40,021 

2399 

59,039 

353.9 

341,747 

2,048.5 

665,029 

3,9865 

119,121 

714.1 

8,068 

48  1 

.18,053 

226,7 

57,881 

.144.8 

355,597 

2,118.0 

711.594 

4,238.5 

123,367 

7348 

-6.1 

-bX 

-»9 

-5,5 

-2.0 

-2  6 

+4,1 

+  3.4 

+  70 

+63 

+  3.5 

+  29 

49 


Table  4.  —  Index  of  Crime:  Region,  Geographic  Division,  and  State,   1986-1987 — Continued 


Year 

Populjlicn 

Cnnu-   In 

dc\  loul 

Mndtfiod  Crime 
Index  lolal 

Vn)lenl 

ermie 

l*r(,perl 

erime 

Murder  a 
negligent   m 

nd  ntiii- 
jnslaughter 

Area 

Number 

RliIc  per 
100.000 

Number 

Rate  per 

lOO.OOO 

Number 

Rale  per 
100,000 

Number 

Rale  per 
100.000 

Number 

Rate  per 
100.000 

West 

1986 
1987 

48,759,000 
49,700,000 

3,239,661 
3,210.618 

6,644.2 
6,460.0 

354,397 
355,020 

726.8 
714.3 

2,885,264 
2,855,598 

5,917.4 

5,745.7 

4,500 
4,248 

9.2 

8,5 

Percent  change  

-.9 

-2.8 

+.2 

-1.7 

-1.0 

-2.9 

-5,6 

-7.6 

Mountain 

1986 

13.021.000 

823.332 

6.323  1 

66.042 

507,2 

757.290 

5.815.9 

954 

7.4 

1987 

13.167.000 

811.236 

6.161.1 

61.193 

464,7 

750.043 

5.6964 

810 

62 

Percent  change 

-1.5 

-2.6 

-7.3 

-8.4 

-1.0 

-2.1 

-160 

-162 

Anzona 

1986 

3.317.000 

242.850 

7,321.4 

21.835 

658.3 

221.015 

6.663.1 

307 

9.3 

1987 

3.386.000 

243.405 

7.188.6 

20.742 

612,6 

222.663 

6.576.0 

253 

7.5 

Percent  change 

+  ,2 

-1.8 

-5.0 

-6-9 

+.7 

-1.3 

-17.6 

-19.4 

Colorado 

1986 

3.267.000 

229.731 

7.031.9 

17.105 

523-6 

212.626 

6.508.3 

230 

7.0 

1987 

3.296.000 

212.634 

6.451.3 

15.409 

467.5 

197.225 

5.983.8 

191 

5.8 

Percent  change 

-7,4 

-8  3 

-9.9 

-107 

-7.2 

-8.1 

-17.0 

-17.1 

Idaho 

1986 

1.003.000 

42.196 

4.207.0 

2.232 

222.5 

39.964 

3.984.4 

32 

3.2 

1987 

998.000 

41.480 

4.156.3 

2.138 

2142 

39.342 

3.942.1 

31 

3.1 

Percent  change 

-1.7 

-1.2 

-4.2 

-3-7 

-1.6 

-1.1 

-3.1 

-3.1 

Montana 

1986 

819.000 

36.682 

4.4789 

1.289 

157.4 

35.393 

4.321.5 

24 

2.9 

1987 

809.000 

37.209 

4.599.4 

1.223 

151-2 

35.986 

4.448.2 

33 

4.1 

Percent  change 

+  1.4 

+2.7 

-5.1 

-3-9 

+  1.7 

+2.9 

+37.5 

+41.4 

Nevada 

1986 

963.000 

60.570 

6.289.7 

6.923 

718.9 

53.647 

5,570.8 

121 

12.6 

1987 

1.007.000 

64.160 

6.371.4 

7.006 

695.7 

57.154 

5,675.7 

85 

8.4 

Percent  change 

+  5  9 

+  1.3 

+  1.2 

-3.2 

+6.5 

+  1-9 

-29.8 

-33.3 

New  Mexico 

1986 

1.479.000 

97.997 

6.625.9 

10.731 

725.6 

87.266 

5,900.3 

170 

11.5 

1987 

1.500.000 

98.202 

6.546.8 

9,427 

628,5 

88.775 

5,918-3 

152 

10. 1 

Percent  change 

+  2 

-1.2 

-12.2 

-13,4 

+  1.7 

+-3 

-10.6 

-12.2 

Utah 

1986 

1.665.000 

91.215 

5.4784 

4.441 

266.7 

86.774 

5,211-7 

53 

3.2 

1987 

1.680.000 

94.393 

5.618.6 

3.861 

229,8 

90.532 

5,388-8 

55 

3.3 

Percent  change 

+3.5 

+2.6 

-13-1 

-13,8 

+43 

+  3-4 

+3.8 

+3.1 

Wyoming 

1986 

507.000 

22.091 

4.357.2 

1.486 

293.1 

20.605 

4.064-1 

27 

5.3 

1987 

490.000 

19.753 

4.031  2 

1.387 

283, 1 

18.366 

3.748-2 

10 

2.0 

Percent  change 

-10.6 

-7.5 

-6-7 

-3.4 

-10.9 

-7-8 

-63-0 

-52.3 

Pacific 

1986 

35.737.000 

2.416.329 

6.761.4 

288.355 

806  9 

2.127,974 

5.954-5 

3.536 

9.9 

1987 

36.533.000 

2.399.382 

6.567.7 

293.827 

804.3 

2.105.555 

5.763-4 

3.438 

9.4 

Percent  change 

-.7 

-2-9 

+  19 

-3 

-1-1 

-3,2 

-2-8 

-5.1 

Alaslta 

1986 

534.000 

33.353 

6.2459 

3.046 

570,4 

30.307 

5.675-5 

46 

8.6 

1987 

525.000 

28.232 

5.377  5 

2.391 

455,4 

25.841 

4.922-1 

53 

10.1 

Percent  change 

-15.4 

-13.9 

-21  5 

-20.2 

-147 

-13-3 

+  15.2 

+  17.4 

Cahfornia 

1986 

26.981,000 

1.824.669 

6.7628 

248,370 

920  5 

1.576.299 

5.842-3 

3.038 

11.3 

1987 

27.663.000 

1.799.871 

6.506  4 

253.943 

918.0 

1.545.928 

5,588-4 

2.924 

10.6 

Percent  change 

-1.4 

-3.8 

+2.2 

-.3 

-1-9 

^.3 

-3.8 

-6.2 

Hawaii 

1986 

1.062.000 

60.230 

5,671.4 

2.604 

245.2 

57.626 

5,426-2 

51 

48 

1987 

1.083.000 

63.008 

5,817.9 

2.851 

263.3 

60.157 

5,554-7 

52 

4.8 

Percent  change 

+4.6 

+2.6 

+9.5 

+  7.4 

+4.4 

+2.4 

+2.0 

Oregon 

1986 

2.698.000 

191.037 

7.080.7 

14,830 

549  7 

176,207 

5.531.0 

178 

66 

1987 

2.724.000 

189.835 

6.969.0 

14.697 

539.5 

175.138 

6.429.4 

153 

5.6 

Percent  change 

-.6 

-1.6 

-9 

-19 

-.6 

-15 

-14.0 

-15.2 

Washington 

1986 

4.463.000 

.107.040 

6.879.7 

19.505 

4370 

287.535 

6.442.5 

223 

5.0 

1987 

4.538,000 

318.436 

7.017  1 

19.945 

439-5 

298.491 

5.577.6 

256 

56 

Percent  change 

+3.7 

+  20 

+:  3 

+  6 

+  3.8 

+2.1 

+  148 

+  i:  II 

Puerto  Rico' 

1986 

3.390.000 

118.315 

3.490-4 

25.843 

762.4 

92.472 

2.728-0 

507 

I7» 

1987 

3,279,000 

110.144 

3.358.8 

23.550 

718,2 

86.594 

2.640.7 

499 

1-^2 

Percent  change 

-6.9 

-3.8 

-89 

-5,8 

-6.4 

-3.2 

-17.8 

-1?  1 

Populaimns  are  Bureau  of  the  Census  provisional  eslimaies  as  of  July    I.    1986  and    ]^S1.  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  olTense 
'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  arc 

not  mcluded  for  the  properly  crime  of  arson 

""Forcible  rape  figures  furnished  by  the  stale-level  Uniform  Crime  Reporting  (UCR)  Program  administered  by   the  Illinois  Department  of  State  Police  were  not   in  accordance 

with  national   L'CR  guidelines.  The   1186  and   W87  forcible  rape  totals  for  Illinois  were  estimated  using  the  national  rate  of  forcible  rapes  when  grouped  by  like  agencies.  See 

"Offense  Estimation",   page  4  for  details 

includes  ofTenses  reported  by  the  Zoological  Police. 

"Population  and  offense  data  are  not  included  in  US.   totals    The  rales  for  Fuerli>  Ricti  were  calculated   using  the  unrounded  population 

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


50 


Table  4.  - 

-  Index  of  Crime:  Region,  Geographic  Division,  and  State,   1986-1987 — Continued 

Forcible  rjpt- 

Rcibber\ 

A^lgrinal 

d  jssault 

Burglar! 

l.areei 

ythch 

MtiKir  ve 

hide  Ihefl 

Arsou 

NurnhtT 

R,irc  per 
100.000 

NunihtT 

Rjlc  per 

100.000 

Nunihcr 

Rale  per 
100.000 

Number 

Rale  per 

ioo.oa> 

Number 

Rale  per 

100,000 

Number 

Rate  per 
lOO.OOO 

Number 

Rale  per 
lOO.OOO 

21,597 

44.3 

122,185 

250,6 

206,115 

422,7 

814,731 

1,670.9 

1,785,762 

3,662,4 

284,771 

584.0 

21,322 

42.9 

110,936 

223,2 

218,514 

439.7 

757,189 

1,523.5 

1.784,415 

3,590,4 

313,994 

631.8 

-1.3 

-3.2 

-9.2 

-10,9 

+6.0 

+4.0 

-7.1 

-8,8 

-1 

-2,0 

+  10,3 

+8.2 

5,000 

38.4 

16,488 

126.6 

43,590 

334.8 

200.471 

1,539  6 

509,225 

3,9108 

47,594 

365.5 

4,862 

36.9 

14,395 

109.3 

41.126 

312.3 

184.622 

1,402,2 

518,169 

3,935.4 

47,252 

358.9 

-2.8 

-3.9 

-12.7 

-13.7 

-57 

-67 

-7.9 

-8.9 

+  1-8 

+.6 

-.7 

-18 

1,425 

43.0 

5,614 

169.2 

14,489 

436.8 

63.278 

1,907,7 

143,845 

4,336.6 

13,892 

418.8 

1.3<)6 

41.2 

4,687 

138.4 

14.406 

425.5 

55,059 

1,626,1 

153,296 

4,527-3 

14,308 

422.6 

-20 

-4.1 

-16.5 

-182 

-6 

-26 

-13.0 

-14,8 

+66 

+4-4 

+  3.0 

+  9 

1..^82 

423 

4,731 

144.8 

10,762 

329.4 

58,531 

1,7916 

138,219 

4.2.108 

15,876 

4860 

I. .144 

40,8 

3,916 

118,8 

9,958 

.102.1 

50,580 

1,534  6 

132,266 

4.012,9 

14,379 

436  3 

-2,7 

-3-5 

-172 

-18,0 

-7  5 

-8.3 

-13.6 

-143 

^.3 

-52 

-9.4 

-10-2 

201 

20  0 

214 

21,3 

1,785 

178.0 

10.065 

1,003,5 

28,081 

2,799.7 

1,818 

181  3 

175 

17.5 

242 

24,2 

1,690 

169.3 

9.748 

976,8 

27,923 

2,797.9 

1,671 

167-4 

-12') 

-125 

+  13.1 

+  13  6 

-5.3 

-49 

-3.1 

-2  7 

-.6 

-.1 

-8.1 

-7.7 

142 

17,3 

160 

195 

963 

1176 

6,491 

792  6 

27,142 

3,314.0 

1,750 

214.9 

160 

19.8 

196 

24,2 

8.34 

103.1 

6,521 

806-1 

27,541 

3,404.3 

1,924 

237,8 

+  127 

+  145 

+  22  5 

+24,1 

-13.4 

-12,3 

+.5 

+  1.7 

+  1.5 

+  27 

+9.3 

+  10.7 

625 

64.9 

2,763 

286.9 

3,414 

354  5 

15,446 

1,6039 

33,601 

3,489,2 

4,600 

477-7 

622 

61.8 

2,744 

272.5 

3,555 

353.0 

16,408 

1.629  4 

35,157 

3,491.3 

5,589 

555.0 

_  5 

^.8 

-7 

-5.0 

+4.1 

-.4 

+6.2 

+  1.6 

+4.6 

+  .1 

+21.5 

+  16.2 

bt} 

469 

1,916 

129  5 

7,952 

537,7 

27,283 

1,844.7 

54,906 

3,712.4 

5,077 

.343.3 

646 

4.1.1 

1,625 

108.3 

7,004 

466.9 

26,815 

1,7877 

56,777 

3,785.1 

5,183 

345.5 

-6.8 

-8.1 

-15,2 

-16.4 

-11.9 

-132 

-1.7 

-3,1 

+3-4 

+2,0 

+2.1 

+  .6 

421 

25.3 

976 

58.6 

2,991 

179,6 

15,233 

914,9 

67,825 

4,073.6 

3,716 

223.2 

.165 

21.7 

887 

52.8 

2,554 

152,0 

15,975 

950.9 

71,038 

4,228.5 

3,519 

209.5 

-I.V.I 

-14.2 

-9.1 

-9.9 

-14.6 

-15,4 

+4,9 

+  3,9 

+4-7 

+3.8 

-5.3 

-6.1 

111 

21  9 

114 

22  5 

1,234 

243,4 

4,144 

8174 

15,606 

3,078.1 

855 

168.6 

154 

314 

98 

20.0 

1,125 

2296 

3,516 

7176 

14,171 

2,892,0 

679 

138.6 

+  .187 

+434 

-140 

-11  1 

-8  8 

-5,7 

-15,2 

-122 

-92 

-6,0 

-20.6 

-17.8 

16,5<17 

46.4 

105,697 

295.8 

162,525 

454,8 

614,260 

1,718,8 

1,276,537 

3,572,0 

237,177 

663.7 

16,460 

45  1 

96,541 

264.3 

177,388 

485,6 

572,567 

1,567,3 

1,266,246 

3,466,0 

266,742 

730.1 

-8 

-2,8 

-8,7 

-106 

+9.1 

+6,8 

-6,0 

-8,8 

-8 

-3,0 

+  12.5 

+  100 

.188 

72.7 

470 

880 

2,142 

401,1 

6,204 

1.161,8 

20,879 

3,909-9 

3,224 

603.7 

.141 

65.0 

384 

73.1 

1,613 

307,2 

5,093 

970,1 

18,195 

1,4657 

2,553 

486.3 

-12.1 

-10,6 

-183 

-169 

-24.7 

-23,4 

-17.9 

-16,5 

-129 

-11-4 

-20,8 

-19,4 

12.1l<> 

44,9 

92,512 

.142.9 

140,701 

521.5 

457,698 

1,696,4 

913,004 

3,383-9 

205,597 

762-0 

12,100 

418 

83, .341 

301.3 

155,569 

562,4 

419,969 

1,518,2 

896,335 

3,240,2 

229,624 

830.1 

-1 

-2  4 

-99 

-12,1 

+  10.6 

+  7.8 

-8.2 

-10.5 

-18 

^.2 

+  11,7 

+8.9 

329 

310 

1.129 

106  3 

1,095 

103.1 

14,218 

1.338,8 

39,922 

3,759.1 

3,486 

328.2 

.111 

36,1 

1,061 

980 

1,345 

124,2 

12,515 

1,155,6 

43,678 

4,033-1 

3,964 

366.0 

+  19  5 

+  17,1 

-6,0 

-7.8 

+  22.8 

+  20,5 

-12.0 

-137 

+9.4 

+7.3 

+  13,7 

+  11.5 

1,.17<) 

51  1 

5.555 

2059 

7,718 

286,1 

53,062 

1,966,7 

112,312 

4,162.8 

10,833 

401.5 

1,247 

45,8 

5,338 

196.0 

7,959 

292  2 

48,562 

1,782,7 

113,907 

4,181.6 

12,669 

465  1 

-96 

-104 

-39 

-48 

+  3  1 

+  2  1 

-8.5 

-9.4 

+  1.4 

+  5 

+  16,9 

+  158 

2,.182 

534 

6,031 

135  1 

10,869 

243.5 

83,078 

1,861,5 

190,420 

4,266.6 

14,037 

314.5 

2,.170 

52,2 

6,417 

141.4 

10,902 

240.2 

86,428 

1,904,5 

194,131 

4.277.9 

17,932 

395.2 

-  5 

_T   T 

+6,4 

+4,7 

+  .3 

-1.4 

+4.0 

+  2,3 

+  1.9 

+.3 

+27.7 

+  25.7 

4.16 

129 

16,447 

485,2 

8,353 

246.4 

38,792 

1,1+4,4 

32, .340 

954  1 

21.340 

629,6 

490 

149 

14.506 

442,4 

8,055 

2456 

35,505 

1,082,7 

32,671 

996.3 

18.418 

561.7 

+  124 

+  155 

-11,8 

-8.8 

-3,6 

-.3 

-8.5 

-5,4 

+  1-0 

+4.4 

-13.7 

-10.8 

51 


Table  5.  —  Index  of  Crime,  State,  1987 

' 

Mojiricd 

Murder 

Area 

Fopuljlion 

Cnnic 
Indc« 

Crime 
ludtx 
lolal' 

Viok-nl 
i.Tinn:' 

Pr,.pcrly 
crime' 

and   noii- 
ncjlligonl 

man- 
slaughter 

F.ireitile 
rape 

Robbery 

Aggra- 
vated 
assaull 

Burglary 

Lareen>- 
Ihefl 

Motor 
vehicle 
Ihefl 

Arson' 

ALABAMA 



Metropolitan  Statistical 

Area           

2.61<).33l 

')8,9<7r 

140.510 

17.239 

123.271 

292 

920 

4.167 

11.860 

38.340 

75.855 

9.076 

Area  actually  reporting 

Estimated  totals 

100.0% 

142.247 

17.474 

124.773 

294 

927 

4.207 

12.046 

38.739 

76.867 

9.167 

Other  Cities 

622.725 

Area  actually  reporting 

'>b.b7c 

29.639 

4,138 

25,501 

41 

122 

296 

3.679 

6.295 

18.126 

1.080 

Estimated  totals 

100,0<7r 

30.669 

4.281 

26,388 

42 

126 

306 

3.807 

6.514 

18.756 

1.118 

Rural 

840.')44 

Area  actually  reporting 

92.2% 

8.143 

994 

7.149 

41 

77 

63 

813 

3.386 

3.352 

411 

Estimated  totals 

lOO.O'J'f 

8.835 

1.078 

7.757 

44 

84 

68 

882 

3.674 

3.637 

446 

Stale  Total 

4,083,000 

181,751 

22,833 

158,918 

380 

1,137 

4,581 

16,735 

48,927 

99,260 

10,731 

Rate  per  100.000 

inhabitants 

4.4514 

559,2 

3.892.2 

9.3 

278 

112,2 

4099 

1.198.3 

2.431.1 

262.8 

ALASKA 

Metropolitan  Statistical 

Area 

231.039 

Area  actually  reporting 

I00,0'7<- 

13.746 

1.025 

12.721 

15 

154 

285 

571 

2.113 

9,491 

1.117 

Other  Cities 

168.591 

Area  actually  reporting 

874% 

8,100 

590 

7.510 

9 

69 

62 

450 

1.081 

5.581 

848 

Estimated  totals 

100.0% 

9.267 

675 

8.592 

10 

79 

71 

515 

1.237 

6,385 

970 

Rural 

125.370 

Area  actually  reporting 

100  0% 

5.219 

691 

4.528 

28 

108 

28 

527 

1.743 

2.319 

466 

State  Total 

525,000 

28,232 

2,391 

25,841 

53 

341 

384 

1,613 

5,093 

18,195 

2,553 

Rate  per  100.000 

inhabitants             

5.377  5 

4554 

4.922.1 

10  1 

65.0 

73.1 

307.2 

970.1 

3.4657 

486.3 

ARIZONA 

Metropolitan  Statistical 

Area                     

2.587.955 

Area  actually  reporting 

100  0% 

204.538 

17.226 

187.312 

206 

1.208 

4.262 

11.550 

46.196 

128.869 

12,247 

Other  Cities 

422.312 

Area  actually  reporting 

98.3% 

30.282 

2.267 

28.015 

17 

139 

347 

1.764 

6.145 

20.379 

1.491 

Eslimaled  totals 

100  0% 

30.803 

2.305 

28.498 

17 

141 

353 

1.794 

6.251 

20.730 

1.517 

Rural 

375.733 

Area  actually  reporting 

91.0% 

7.342 

1.103 

6.239 

27 

43 

66 

967 

2.378 

3,366 

495 

Estimated  totals      

100.0% 
3,386,000 

8.064 
243,405 

1.211 
20,742 

6.853 
222,663 

30 
253 

47 
1,396 

72 
4,687 

1,062 
14,406 

2.612 
55,059 

3.697 
153,296 

544 
14,308 

State  Total 

Rate  per  100,000 

inhabitants 

7.1886 

6126 

6.576.0 

75 

41.2 

138,4 

4255 

1.626.1 

4,527.3 

422.6 

ARKANSAS 

Metropohtan  Statistical 

Area 

939.691 

Area  actually  reporting 

99  9% 

62,614 

6.467 

56.147 

77 

540 

1.444 

4.406 

15.324 

37.768 

3,055 

Estimated  totals 

100.0%^ 

62.701 

6.473 

56.228 

77 

541 

1.445 

4.410 

15.344 

37,825 

3,059 

Other  Cities 

567,523 

Area  actually  reporting 

97  1% 

26.722 

2,469 

24,253 

37 

127 

341 

1.964 

5.939 

17.129 

1,185 

Estimated  totals 

100.0% 

27.507 

2.542 

24.965 

38 

131 

351 

2.022 

6.113 

17.632 

1,220 

Rural 

880.786 

Area  actually  reporting 

100  0% 

11.168 

824 

10.344 

67 

107 

94 

556 

4.286 

5.405 

653 

State  Total 

2,388,000 

101,376 

9,839 

91,537 

182 

779 

1,890 

6,988 

25,743 

60,862 

4,932 

Rate  per  100,000 

inhabitants 

4.2452 

412.0 

3.833.2 

7.6 

32.6 

79  1 

2926 

1.078.0 

2.548.7 

206.5 

CALIFORNIA 

Metropolitan  Statistical 

Area 

26,472.962 

Area  actually  reporting 

99  9% 

1.742.156 

246.539 

1.495.617 

2.836 

11.769 

82,661 

149.273 

404.492 

864,473 

226,652 

Estimated  totals 

100.0% 

1.742.451 

246.575 

1.495.876 

2,836 

11,771 

82,672 

149.296 

404.560 

864.630 

226,686 

Other  Cities 

489.679 

Area  actually  reporting 

99  2% 

33,873 

3.409 

30.464 

29 

170 

464 

2,746 

7.745 

21,051 

1,668 

Estimated  totals 

100  0% 

34.131 

3.435 

30.696 

29 

171 

468 

2.767 

7.804 

21,211 

1,681 

Rural                     

700,359 

Area  actually  reporting 

100.0% 

23.289 

3.933 

19.356 

59 

167 

201 

3,506 

7,605 

10.494 

1.257 

State  Total 

27,663,000 

1,799,871 

253,943 

1,545,928 

2,924 

12,109 

83,341 

155,569 

419,969 

896,335 

229,624 

Rate  per  100.000 

inhabitants 

6.5064 

918.0 

5.588.4 

10.6 

43.8 

301.3 

562.4 

1.518.2 

3,240.2 

830.1 

See  foolnoles  at  end  of  table 


52 


Table  5.  —  Index  of  Crime,  State,  1987  —  Continued 


Area 

PctpuLitioii 

Crime 
Index 
lolat 

Modified 
Crime 
Index 
loul 

ViolenI 
en  me" 

l*ropcrl> 
crime 

Murder 
and  noil- 
negligeill 

man- 
slaughter 

Fnreitilc 
rape 

Ri.bhery 

Aggra- 
vated 
assault 

Burglary 

Lareeny- 
ihefl 

Motor 
vehicle 
Ihefl 

Arson' 

COLORADO 

Metropolitan  Statistical 

Area 

2,688.401 

Area  actually  reporting 

lOO.Or'r 

184,707 

14,009 

170,698 

175 

1.235 

3,798 

8,801 

44,931 

112,519 

13.248 

Other  Cities 

285.337 

Area  actually  reporting 

Q'JT'/r 

17,762 

765 

16.997 

5 

60 

76 

624 

3,073 

13.370 

554 

Estimated  totals 

100.0% 

17,818 

767 

17,051 

5 

60 

76 

626 

3,083 

13.412 

556 

Rural 

322,262 

Area  actually  reporting 

mmc 

10,109 

633 

9,476 

11 

49 

42 

531 

2,566 

6,335 

575 

State  Total 

3,296,000 

212,634 

15.409 

197,225 

191 

1,344 

3,916 

9,958 

50,580 

132,266 

14,379 

Rate  per  100,000 

inhabitants 

6,451  3 

467.5 

5.983.8 

5.8 

40.8 

118.8 

302.1 

1,534.6 

4.012.9 

436.3 

CONNECTICUT 

Metropolitan  Statistical 

Area 

2,944.44") 

Area  actually  reporting 

100.0% 

152,979 

12,686 

140,293 

151 

743 

5,633 

6,159 

37.013 

86.859 

16,421 

Other  Cities 

87,235 

Area  actually  reporting 

100.0% 

3,418 

303 

3,115 

1 

28 

30 

244 

715 

2,182 

218 

Rural 

179,316 

Area  actually  reporting 

100.0% 

4.016 

466 

3,550 

4 

29 

57 

376 

1.392 

1,811 

347 

State  Total 

3,211,000 

160,413 

13.455 

146,958 

156 

800 

5,720 

6,779 

39,120 

90,852 

16,986 

Rate  per  100,000 

inhabitants 

4.9957 

419.0 

4.576  7 

49 

24  9 

178.1 

211-1 

1,2183 

2,829-4 

529.0 

DELAWARE 

Metropolitan  Statistical 

Area 

425.262 

Area  actually  reporting 

100.0% 

21.767 

l.KOO 

19,967 

15 

250 

616 

919 

4,375 

13,955 

1,637 

Other  Cities 

67.689 

100.0% 

5,661 

436 

5,225 

3 

38 

119 

276 

927 

4.141 

157 

Rural     

151.049 

Area  actually  reporting 

100  0% 

4.378 

538 

3,840 

15 

153 

54 

316 

1,270 

2.357 

213 

State  Total 

644.000 

31,806 

2.774 

29,032 

33 

441 

789 

1,511 

6,572 

20,453 

2,007 

Rate  per  100.000 

inhabitants 

4.938.8 

430  7 

4,508.1 

5.1 

68.5 

122.5 

234.6 

1.020.5 

3.175.9 

311.6 

DISTRICT  OF  COLUMBIA' 

Metropolitan  Statistical 

Area           

622.000 

Area  actually  reporting 

100.0% 

52.569 

10.016 

42,553 

225 

245 

4.462 

5,084 

11.244 

25.012 

6,297 

Other  Cities   

NONE 

Rural  

NONE 

State  Total 

622,000 

52,569 

10.016 

42,553 

225 

245 

4.462 

5,084 

11,244 

25,012 

6,297 

Rate  per  100.000 

inhabitants 

8,451  6 

1,610.3 

6,841.3 

36  2 

394 

717,4 

8174 

1.807.7 

4.021.2 

1,012,4 

FLORIDA 

Metropolitan  Statistical 

Area    

10.925.481 

Area  actually  reporting 

100.0% 

971,787 

117,263 

854,524 

1,293 

5,652 

41.901 

68.417 

255.932 

519.974 

78,618 

Other  Cities 

290,869 

Area  actually  reporting 

99.7% 

20,633 

2,358 

18,275 

17 

141 

486 

1,714 

5.008 

12.384 

883 

Estimated  totals 

100.0% 

20,702 

2,366 

18,336 

17 

141 

488 

1,720 

5.025 

12.425 

886 

Rural 

806.650 

Area  actually  reporting 

100.0% 

29,846 

3,539 

26,307 

61 

239 

480 

2,759 

10,389 

14.067 

1,851 

State  Total 

12,023.000 

1,022,335 

123.168 

899,167 

1,371 

6,032 

42.869 

72,896 

271,346 

546.466 

81,355 

Rale  per  100.000 

inhabitants 

8,503,2 

1,024.4 

7.478.7 

11.4 

50.2 

356.6 

606-3 

2.256.9 

4.545.2 

676.7 

See  footnotes  at  end  of  table. 

I 


53 


Table  5.  —  Index  of  Crime,  State,  1987  —  Continued 


Area 

Populjlion 

Crime 
Index 
h.ljl 

Miidirn-d 
Crime 
Indev 

loldl 

Viiiknl 
crime 

Properly 
crime' 

Murder 
and  11(111- 
negligenl 

man- 
slaughler 

F,.rcihle 
rape 

Robbery 

Aggra- 
vated 
assaull 

Burglary 

Lareeny- 
lliefl 

Molor 
vehicle 
Ihefl 

Arsor 

GEORGIA 

Metropolitan  Statistical 

Area 

4,000.327 

Area  actually  reporting 

QSg-Xr 

275.778 

27,391 

248,387 

509 

1.940 

11.152 

13,790 

71,197 

151.280 

25,910 

Estimated  totals 

]oom. 

279.130 

27,636 

251,494 

513 

1.959 

11.246 

13,918 

72.018 

153,264 

26.212 

Other  Cities 

867.273 

Area  actually  reporting 

<)36'7f 

46.125 

4,503 

41,622 

86 

297 

1.123 

2.997 

12.322 

27.252 

2.048 

Estimated  totals 

lOOOTf 

49.295 

4,812 

44,483 

92 

317 

1.200 

3.203 

13.169 

29.125 

2,189 

Rural 

1.354.400 

Area  actually  reporting 

<)5-l7c 

30.581 

3,273 

27,308 

124 

388 

544 

2,217 

10.896 

14.272 

2,140 

Estimated  totals 

I00-0'!i- 

31.954 

3,420 

28.534 

130 

405 

568 

2,317 

11.385 

14.913 

2.236 

State  Total 

6,222,000 

360,379 

35.868 

324.511 

735 

2.681 

13.014 

19.438 

96.572 

197.302 

30.637 

Rate  per  100.000 

inhabitants 

5.7920 

576,5 

5,2155 

118 

43  1 

209.2 

312.4 

1.552  1 

.3.1710 

492.4 

HAWAII 

Metropolitan  Statistical 

Area 

832.614 

Area  actually  reporting 

100.0% 

48,949 

2,258 

46,691 

36 

322 

985 

915 

9.136 

34.239 

3.316 

Other  Cities 

38.836 

Area  actually  reporting 

lOO.OTf 

2,269 

74 

2,195 

5 

15 

17 

37 

477 

1,625 

93 

Rural 

211.550 

Area  actually  reporting 

100  OT- 

11,790 

519 

11,271 

11 

56 

59 

393 

2.902 

7,814 

555 

State  Total 

1.083,000 

63,008 

2.851 

60.157 

52 

393 

1.061 

1.345 

12.515 

43.678 

3,964 

Rate  per  100.000 

inhabitants 

5,817.9 

263  3 

5,554.7 

4.8 

36.3 

98.0 

124.2 

1.1556 

4.033.1 

366.0 

IDAHO 

Metropolitan  Statistical 

Area 

192.932 

Area  actually  reporting 

100.0% 

10,568 

589 

9,979 

6 

55 

90 

438 

2.925 

6.602 

452 

Other  Cities 

393.146 

Area  actually  reporting 

100.0% 

22,051 

940 

21,111 

13 

71 

115 

741 

4.050 

16.313 

748 

Rural 

411.922 

Area  actually  reporting 

98.2% 

8,700 

598 

8.102 

12 

48 

36 

502 

2,723 

4.917 

462 

Estimated  totals    

100.0% 

8,861 

609 

8,252 

12 

49 

37 

511 

2.773 

5.008 

471 

State  Total 

998,000 

41,480 

2.138 

39.342 

31 

175 

242 

1.690 

9.748 

27,923 

1,671 

Rate  per  100.000 

inhabitants 

4,156.3 

214.2 

3,942.1 

3.1 

17.5 

24.2 

169.3 

976.8 

2,797.9 

167.4 

ILLINOIS' 

Melropolilan  Statistical 

Area 

9.514.040 

Area  actually  reporting 

99.8% 

482,526 

925 

35.928 

48,190 

116.889 

305,019 

60,618 

Estimated  totals 

100.0% 

483,488 

925 

35,951 

48,235 

117.097 

305,688 

60.703 

Other  Cities 

1.057.754 

Area  actually  reporting 

95  9% 

37,933 

28 

387 

1,502 

8.278 

28,443 

1.212 

Estimated  totals 

100.0% 

.39,553 

29 

404 

1,566 

8.631 

29,658 

1.264 

Rural 

1.010.206 

Area  actually  reporting 

100  0% 

12,085 

13 

51 

51)9 

4.419 

7.146 

520 

State  Total 

11,582.000 

627,342 

92.216 

535.126 

967 

4.443 

36.406 

50.400 

130.147 

342.492 

62.487 

Rale  per  100,000 

inhabitants 

5,4165 

7962 

4,620.3 

8.3 

384 

314.3 

4352 

1.1237 

2.957.1 

539.5 

INDIANA 

Metropolitan  Statistical 

Area 

3.762.698 

Area  actually  reporting 

86  0% 

164,709 

13,866 

150,843 

202 

1.252 

4,273 

8,139 

38.442 

97.137 

15.264 

Estimated  totals 

1000% 

183,507 

15,009 

168.498 

218 

1.365 

4,518 

8,908 

42.488 

109.128 

16,882 

Other  Cities 

622.395 

Area  actually  reporting 

73.5% 

20,222 

1,058 

19,164 

14 

67 

185 

792 

3.401 

14.798 

965 

Estimated  totals 

100.0% 

27,518 

1,440 

26.078 

19 

91 

252 

1,078 

4.628 

20.137 

1,313 

Rural 

1.145.907 

Area  actually  reporting 

49.0% 

8,257 

843 

7.414 

34 

75 

64 

670 

2.573 

4.147 

694 

Estimated  totals    

100.0% 

16,839 

1,720 

15.119 

70 

153 

131 

1,366 

5.247 

8.457 

1,415 

State  Total 

5,531.000 

227.864 

18.169 

209.695 

307 

1.609 

4.901 

11.352 

52.363 

137.722 

19.610 

Rate  per  100.000 

inhabitants 

4,1198 

328  5 

3.791  3 

56 

29  1 

88.6 

205.2 

946  7 

2.4900 

354.5 

See  footnotes  at  end  of  table. 


54 


Table  5.  —  Index  of  Crime.  State,   1987  —  Continued 


Modified 

Murder 

Area 

PtipulalKin 

Cnnie 
Index 
lolal 

Crime 
Index 
ittlal' 

Violcnl 
crime' 

Properu 
ermie' 

.iiid  iion- 
negllgeill 

man- 
slaughter 

F.ireihle 
rape 

R.ibber> 

Aggra- 
vated 
assaull 

Burglary 

Lareen>- 
Ihefl 

Motor 
vehicle 
Ihefl 

Arson' 

IOWA 

Meiropolilan  Statistical 

Area 

1.214.451 

Area  aclually  reporting 

100.0% 

74.068 

4.769 

69,299 

31 

255 

913 

3.570 

16,214 

50,302 

2,783 

Oiher  Cities 

670.218 

Area  actually  reporting 

100.0% 

30,705 

1.420 

29,285 

16 

64 

90 

1.250 

5,740 

22,555 

990 

Rural 

''4').3.M 

Area  aclually  reporting. .- 

100  0% 

12,561 

364 

12,197 

12 

18 

22 

312 

4,056 

7.632 

509 

State  Total 

2,834,000 

117,334 

6,553 

110,781 

59 

337 

1.025 

5,132 

26,010 

80.489 

4,282 

Rate  per  100.000 

inhabilanls 

4.140,2 

2312 

3,9090 

2  1 

11.9 

36.2 

181  1 

917,8 

2.840,1 

151  1 

KANSAS 

Metropolitan  Statistical 

Area 

1.273.512 

Area  actually  reporting 

9i).5% 

81.090 

6.612 

74,478 

75 

620 

1,823 

4.094 

19,009 

50.534 

4,935 

Estimated  totals 

100.0% 

81.428 

6.631 

74,797 

75 

622 

1,826 

4.108 

19,070 

50.775 

4.952 

Other  Cities 

686.758 

Area  aclually  reporting 

96.9% 

31,609 

1,718 

29.891 

17 

131 

170 

1.400 

6,362 

22.591 

938 

Estimated  totals 

100.0% 

32,631 

1,774 

30.857 

18 

135 

176 

1.445 

6.568 

23.321 

968 

Rural 

515.730 

Area  actually  reporting 

996% 

7,334 

525 

6.809 

17 

51 

30 

427 

2.530 

3.932 

347 

Estimated  totals 

100.0% 

7,361 

527 

6.834 

17 

51 

30 

429 

2.539 

3.947 

348 

State  Total 

2,476,000 

121,420 

8,932 

112.488 

110 

808 

2.032 

5,982 

28,177 

78,043 

6,268 

Rate  per  100.000 

inhabitants 

4,903.9 

3607 

4.543,1 

4,4 

32.6 

82  1 

241.6 

1.138,0 

3.152,0 

253,2 

KENTUCKY 

Area 

1.695.073 

Area  aclually  reporting 

99.8% 

82,645 

7,932 

74,713 

105 

533 

2.868 

4.426 

19,867 

50,086 

4,760 

Estimated  totals 

100.0% 

82.837 

7,950 

74,887 

105 

533 

2,872 

4,440 

19,902 

50,216 

4,769 

Other  Cities 

603.895 

Area  aclually  reporting 

996% 

22.171 

2,178 

19,993 

27 

94 

252 

1,805 

4.944 

13,950 

1,099 

Estimated  totals 

100.0% 

22.252 

2,186 

20,066 

27 

94 

253 

1,812 

4.962 

14,001 

1,103 

Rural 

1.428,032 

Area  actually  reporting 

100,0% 

16.784 

2,453 

14,331 

148 

154 

236 

1.915 

6,707 

6,315 

1,309 

State  Total 

3,727,000 

121,873 

12,589 

109,284 

280 

781 

3.361 

8,167 

31,571 

70,532 

7,181 

Rate  per  100,000 

inhabitants 

3,270,0 

337,8 

2.932.2 

7,5 

21.0 

902 

219.1 

847,1 

1,892,5 

192.7 

LOUISIANA 

Metropolitan  Statistical 

Area      

3,082.652 

Area  actually  reporiing 

90,7% 

206,624 

23,858 

182.766 

386 

1,250 

7.211 

15,011 

51,013 

115,098 

16,655 

Estimated  totals  

100.0% 

222,549 

25,245 

197.304 

398 

1,333 

7.502 

16,012 

54,578 

125,325 

17,401 

Oiher  Cities                  

488.131 
62.9% 

13.402 

1,695 

11.707 

14 

56 

208 

1,417 

3,095 

8,345 

267 

Area  actually  reporting 

Estimated  totals 

100,0% 

21.312 

2.695 

18.617 

22 

89 

331 

2,253 

4,922 

13,270 

425 

Rural 

890,217 

Area  actually  reporting 

74,2% 

13.458 

2.207 

11.251 

56 

132 

114 

1,905 

3,665 

7,159 

427 

Estimated  totals 

100,0% 

18,145 

2.976 

15.169 

76 

178 

154 

2,568 

4,941 

9,652 

576 

State  Total 

4,461,000 

262.006 

30,916 

231.090 

496 

1.600 

7,987 

20,833 

64.441 

148,247 

18,402 

Rate  per  100,000 

inhabitants 

5,873,3 

693,0 

5,180,2 

11,1 

35.9 

179.0 

467,0 

1,444,5 

3,323,2 

41-2,5 

MAINE 

Metropolitan  Statistical 

440,996 

Area  actually  reporting 

100,0% 

22,660 

1.044 

21,616 

9 

78 

247 

710 

4,600 

15,966 

1,050 

Other  Cities 

409,606 

Area  actually  reporting 

987% 

13,713 

454 

13,259 

7 

52 

44 

351 

2,338 

10,310 

611 

Estimated  totals 

100,0% 

13,891 

461 

13,430 

7 

53 

45 

356 

2,368 

10,443 

619 

Rural                     

336,398 

Area  actually  reporting 

100  0% 

5,377 

301 

5,076 

14 

55 

12 

220 

2,180 

2,507 

389 

State  Total 

1,187,000 

41,928 

1,806 

40,122 

30 

186 

304 

1,286 

9,148 

28,916 

2,058 

Rate  per  100,000 

inhabitants 

3.532,3 

152,1 

3,380,1 

2.5 

15.7 

25.6 

108,3 

770,7 

2,436,1 

173,4 

See  foolnoles  at  end  of  table 


55 


Table  5.  —  Index  of  Crime,  State,  1987  —  Continued 


Fiipulatioil 


Crime 
Index 


Mi>dincd 
Crinif 
Index 

Uitill' 


VmlenI 
crime' 


Properl> 
tTimc' 


Murder 
and  nnn- 
negligenl 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


MARYLAND 

Metropolitan  Statistical 
Area 

Area  actually  reporting 
Other  Cities  

Area  actually  reporting. 
Rural 

Area  actually  reporting 
State  Total 

Rale  per  100.000 
mhabilanls 


MASSACHUSETTS 

Metropolitan  Statistical 
Area  

Area  actually  reporting 

Estimated  totals 
Other  Cities 

Area  actually  reporting 

Estimated  totals 
Rural     

Area  actually  reporting.. 
State  Total 

Rate  per  100,000 
inhabitants 


MICHIGAN 

Metropolitan  Statistical 
Area     

Area  actually  reporting.. 

Estimated  totals 

Other  Cities 

Area  actually  reporting 

Estimated  totals 
Rural 

Area  actually  reporting 
State  Total 

Rate  per  100,000 
inhabitants 


MINNESOTA 

Metropolitan  Statistical 
Area         

Area  actually  reporting 

Other  Cities 

Area  actually  reporting 

Rural     

Area  actually  reporting 
State  Total 

Rate  per  100.000 
inhabitants 

MISSISSIPPI 

Metropolitan  Statistical 
Area        

Area  actually  reporting 

Estimated  totals 

Other  Cities 

Area  actually  reporting 

Estimated  totals   

Rural 

Area  actually  reporting 

Estimated  totals 

State  Total 

Rate  per  100.000 
inhabitants 

See  footnotes  at  end  of  table. 


4.213.416 

lOO.O^r 

234.162 

82.623 

\O0.0Vr 

8.184 

2n.%\ 

100.0-7, 

6.063 

4.535.000 

248,409 

5.344.027 

87.9% 

lOOO-Zr 

499.660 

76.8<7r 

lOO.O^r 

11.313 

100.0% 

5,855.000 


2.792.313 
100.0% 
512.693 
100.0% 
940.994 
100.0% 

4,24«,D00 


787.967 
75.9% 

100.0% 

680.031 
77.5% 

100.0% 

1.157.002 

41.4% 

100.0% 
2,625,000 


5.477.6 


237,325 
257.916 

14.705 
19.145 

104 
277,165 

4.733.8 


7.384.359 

99.0% 

524.227 

100.0% 

528.829 

681.714 

97.3% 

29.748 

100.0% 

30.571 

1.133.927 

100.0% 

34.626 

9,200,000 

594,026 

6,456.8 

156.894 

22,363 

16,729 
195,986 

4,615.8 


36,074 
43,267 

27,214 
35,118 

4.912 
11.878 
90,263 

3.438.6 


33,108 

724 

988 
34,820 

767.8 


29.584 
31.202 


1.409 
1.834 


24 
33,060 


564.6 


67,278 
67,662 

1,337 
1,374 

2,736 
71,772 

780.1 


10.748 

638 

732 
12,118 

285.4 


3.050 
3.584 

1.779 
2.295 

497 
1.202 
7.081 

269.8 


201.054 
7.460 


5.075 
213,589 


4.709,8 


207.741 
226.714 


13.296 
17.311 


244.105 

4.169.2 


456.949 
461.167 


28.411 
29.197 


31.890 
522,254 


5.676.7 


146.146 

21.725 

15.997 
183,868 

4.330.4 


33.024 
39.683 

25.435 
.32.823 

4.415 
10.676 
83,182 

3.168.8 


414 
I 


21 
436 


9.6 


161 
168 


173 


3.0 


1,080 
1.084 

II 
II 

29 
1,124 

12.2 


21 
112 


2.6 


63 
81 

40 

97 

269 


102 


1.678 

37 

80 
1,795 

39.6 


1.642 
1.751 

89 
116 

I 
1,868 

31.9 


5.071 
5,101 

217 
223 

860 
6,184 

67.2 


1,193 
92 


154 
1,439 


33.9 


298 
390 

163 
210 

69 
167 
767 

29.2 


12,949 

139 

76 
13,164 

290.3 


9.846 
10.211 


129 
168 


10,379 

177,3 


25.071 
25.190 

141 
145 

107 
25,442 

276.5 


4.234 

80 

40 
4,354 

102.5 


750 
852 

409 
528 

48 

116 

1.496 


18,067 

547 

811 
19,425 

428.3 


17,935 
19,072 


1,187 
1,545 


23 
20,640 


352.5 


36.056 
36.287 

968 
995 

1,740 
39,022 

424.2 


5,237 

459 

517 
6,213 

146.3 


1,925 
2,251 

1,144 
1,476 

340 

822 

4.549 


49,047 
1,728 


1,943 
52,718 


1,162.5 


51,959 
56,594 

4.176 
5.437 

25 
62,056 

1,059.9 


115,681 
116,527 

4,703 
4,833 

12,242 
133,602 

1,452.2 


36,125 
3,667 


5,592 
45,384 


1,068.9 


12,328 
15,633 

7,788 
10,050 

2.421 

5,854 

31,537 


126,119 

5,482 

2.884 
134,485 

2,965.5 


106,459 
117.346 

8.107 
10,555 

38 
127,939 

2,185.1 


274.979 
277.808 

22,774 
23,404 

18,258 
319,470 

3.472.5 


99,134 

17,092 

9,460 
125,686 

2,960.1 


18,791 
21,673 

16,699 
21,550 

1,741 

4.210 

47,433 


57.0        173.3 


1.201.4        1,807.0 


56 


Table  5.  —  Index  of  Crime,  State,  1987  —  Continued 


Population 


Crime 
Index 


Modified 
Crime 
Index 
lolul' 


Violent 
crime" 


Properl) 
crime' 


Murder 
ynd  ntm- 
negligent 

man- 
slaughter 


Forcibli 
rape 


Robber) 


valcd 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


MISSOURI 

Mclropolilan  Staiisitcal 
Area  

Area  actually  reporting.. 

Eslitnaied  totals  

Other  Cities  

Area  actually  reporting.. 

Estimated  totals 


Rural . 


Area  actually  reporting. 

Estimaled  totals 

State  Total 

Rate  per  100.000 
inhabitants  


MONTANA 

Metropolitan  Statistical 
Area  

Area  actually  reporting 
Other  Cities 

Area  actually  reporting. 

Estimated  totals 


Rural 


Area  actually  reporting.. 

Estimated  totals 

State  Total 

Rate  per  100,000 
inhabitants 


NEBRASKA 

Metropolitan  Statistical 
Area 

Area  actually  reporting 
Other  Cities 

Area  actually  reporting.. 

Estimated  totals 


Rural 


Area  actually  reporting 

Estimated  totals 

State  Total 

Rate  per  100.000 
inhabitants 

NEVADA 

Metropolitan  Statistical 
Area     

Area  actually  reporting.. 
Other  Cities 

Area  actually  reporting.. 

Estimated  totals  

Rural 

Area  actually  reporting  . 

Estimated  totals 

State  Total 

Rate  per  100.000 
inhabitants 


.1.361.226 

')3.2<7r 

100.0% 

465.829 

83.0% 

100.0% 

1.275.945 

60.9% 

100.0% 

S,  103.000 


197.089 
100.0% 
193.432 

90.3% 
100.0% 
418.479 

87.0% 
100.0% 
809,000 


747,915 
100.0% 
381,311 

95.5% 
100.0% 
464,774 

79.7% 

100.0% 

1,S94,000 


829,263 
100.0% 
30,148 
55.7% 
100.0% 
147,589 
38.2% 
100.0% 
1,007,000 


201.544 
207.856 

16,632 
20,027 

7,517 

12,3.39 

240.222 

4,707.5 


13,387 

11,543 
12,778 

9,608 
11.044 
37,209 

4.599.4 


43,705 

15,022 
15.730 

5,117 

6,422 

65,857 

4,131.6 


58,429 

855 
1,536 

1,604 

4.195 

64,160 

6,371.4 


24,715 
25,225 

1,188 
1.430 

693 

1,137 

27,792 

5446 


340 

324 
358 

457 

525 

1,223 

151.2 


3,428 

348 
364 

169 

212 

4,004 

251.2 


6.236 

104 
187 

223 

583 

7,006 

695.7 


176,829 
182,631 

15,444 
18.597 

6,824 

11,202 

212,430 

4,162.8 


13,047 

11,219 
12,420 

9,151 
10,519 
35,986 

4,448.2 


40,277 

14,674 
15,366 

4.948 

6.210 

61,853 

3.880.4 


52.193 

751 
1.349 

1.381 

3.612 

57.154 

5.675.7 


353 
360 

12 
14 

30 

49 

423 

8.3 


4 
4 

17 
20 
33 

4.1 


40 

2 
2 

10 
13 
55 

3.5 


75 


4 
10 
85 

8.4 


1.244 
1.272 

66 
80 

74 

121 

1,473 

28.9 


75 

29 
32 

46 

53 

160 

19.6 


277 

50 
52 

13 

16 

345 

21.6 


606 


2 

5 

622 


61.8 


8.083 
8.161 

128 
154 

37 

61 

8,376 

164.1 


75 

65 

72 

43 

49 

196 

24.2 


692 

37 
39 

16 

20 

751 

47.1 


2.671 

3 
5 

26 

68 

2,744 

272.5 


15.035 
15.432 

982 
1.182 

552 

906 

17,520 

343.3 


181 

226 

250 

351 
403 
834 

103.1 


2.419 

259 
271 

130 

163 

2,853 

179.0 


2.884 

95 
171 

191 

500 

3,555 

353.0 


46.701 
48.274 

2.1 
3.478 

3.021 

4.959 

56.711 

1.111.3 


2.508 

1.258 
1.393 

2.279 
2.620 
6,521 

806.1 


9.074 

2.476 
2.593 

1.473 

1.849 

13,516 

847.9 


14.796 

171 
307 

499 

1.305 

16,408 

1.629.4 


110.223 
114.021 

11.935 
14.371 

3.394 

5.572 

133,964 

2,625.2 


9,881 

9,463 
10,476 

6,250 

7,184 

27,541 

3,404.3 


29,330 

11,752 
12,306 

3,232 

4,056 

45.692 

2,866.5 


32,222 

518 
931 

766 

2,004 

35,157 

3,491.3 


19,905 
20,336 

621 
748 

409 

671 

21.755 

426.3 


658 

498 
SSI 

622 

715 

1.924 

237.8 


1,873 

446 
467 

243 

305 

2,645 

165.9 


5,175 

62 
111 

116 

303 

5,589 

555.0 


See  footnotes  at  end  of  table. 


57 


Table  5.  —  Index  of  Crime,  State,  1987  — 

Continued 

Area 

Pttpuljliun 

Crime 
Index 
lolal 

M,>dined 
Crime 
Index 

Inljl' 

Vii.lail 
crime" 

I'rnpcnj 
crime' 

rvturdet 
jnd  non- 
iiegligeiil 

man- 
slaughter 

Fcreilile 
rapi- 

Rotiberv 

Aggra- 
vated 
assault 

Burglary 

Lareeii>- 
Ihefl 

MiiKir 
vehicle 
ihefl 

Arson' 

NEW  HAMPSHIRE 

Metropolitan  Statistical 

Area 

568.539 

Area  actually  reporting 

W5'7r 

22,442 

967 

21.475 

17 

156 

212 

582 

4,459 

15,385 

1.631 

Estimated  totals 

1000% 

22.543 

973 

21.570 

17 

157 

213 

586 

4,478 

15.453 

1.639 

Other  Cities 

316.049 

Area  actually  reporting 

99.6<7f 

11.936 

509 

11,427 

3 

98 

59 

349 

2,454 

8.406 

567 

^ 

Estimated  totals 

100.0% 

11.980 

510 

11.470 

3 

98 

59 

350 

2,463 

8.438 

569 

Rural 

172.412 

Area  actually  reporting. 

100  0% 

1.116 

98 

1,018 

12 

26 

8 

52 

403 

535 

80 

State  Total 

1,057,000 

35,639 

1,581 

34,058 

32 

281 

280 

988 

7,344 

24,426 

2,288 

Rate  per  100.000 

inhabitants  .. 

3.371.7 

149.6 

3,222  1 

3.0 

266 

26.5 

93  5 

694.8 

2.310.9 

216.5 

f 

NEW  JERSEY 

Metropolitan  Statistical 

Area            

7,672.000 

Area  actually  reporting 

99  9%- 

403.438 

41.491 

361,947 

351 

2.558 

17.856 

20,726 

77.349 

219.773 

64.825 

Est imated  totals 

100.0% 
NONE 

403.662 

41,507 

362,155 

351 

2.559 

17,862 

20,735 

77.392 

219,906 

64.857 

Other  Cities    

Rural             

NONE 
7,672,000 

403,662 

41,507 

362,155 

351 

2.559 

17,862 

20,735 

77,392 

219,906 

64,857 

1 

Stale  Total 

1 

Rate  per  100.000 

1 

inhabitants 

5,261.5 

541.0 

4.720.5 

46 

33.4 

232.8 

2703 

1.008.8 

2,866.3 

845.4 

NEW   MEXICO 

Metropolitan  Statistical 

Area 

712,799 

Area  actually  reporting 

91,5% 

51,604 

5.037 

46,567 

72 

320 

1,187 

3,458 

14,938 

28,622 

3.007 

Estimated  totals 

100  0%- 

57,481 

5.322 

52,159 

74 

348 

1,247 

3,653 

16,213 

32,694 

3.252 

Other  Cities 

494,161 

Area  actually  reporting 

78.7% 

24,426 

2.034 

22.392 

27 

152 

238 

1,617 

5,372 

16,008 

1.012 

Estimated  totals 

100.0% 

31,019 

2.583 

28.436 

34 

193 

302 

2.054 

6,822 

20.329 

1.285 

Rural 

293,040 

Area  actually  reporting 

54.2% 

5,259 

825 

4,434 

24 

57 

41 

703 

2,049 

2.035 

350 

Estimated  totals    

100,0% 
1,500,000 

9,702 
98,202 

1.522 
9.427 

8.180 
88,775 

44 
152 

105 
646 

76 
1,625 

1,297 
7,004 

3,780 
26,815 

3.754 
56,777 

646 
5,183 

State  Total 

Rate  per  100,000 

inhabitants 

6,546.8 

628.5 

5.918.3 

101 

43.1 

108.3 

466.9 

1,787.7 

3,785.1 

345.5 

NEW   YORK 

Metropolitan  Statistical 

Area 

16.127.662 

Area  actually  reporting 

99  5% 

1,007,406 

176,069 

831,337 

1.987 

5,294 

89.347 

79,441 

203,807 

504.044 

123,486 

Estimated  totals 

100.0% 

1,010.495 

176,289 

834,206 

1.989 

5,305 

89,423 

79.572 

204,457 

506,021 

123.728 

Other  Cities   

759,585 

Area  actually  reporting 

98.8% 

29.782 

1,711 

28.071 

5 

95 

211 

1,400 

5,610 

21,605 

856 

Estimated  totals 

100.0% 

30.139 

1,732 

28.407 

5 

96 

214 

1,417 

5,677 

21,864 

866 

Rural 

937,753 

Area  actually  reporting 

100  0% 

20.387 

1,670 

18.717 

22 

136 

84 

1,428 

6,692 

11,290 

735 

State  Total 

17,825,000 

1,061,021 

179,691 

881,330 

2,016 

5,537 

89,721 

82,417 

216,826 

539,175 

125,329 

Rate  per  100.000 

inhabitants 

5,9524 

1,008  1 

4.944.3 

113 

31.1 

503.3 

462.4 

1,216.4 

3,024.8 

703.1 

NORTH  CAROLINA 

Metropolitan  Statistical 

Area 

3,528.786 

Area  actually  reporting 

99.2% 

198,776 

20,915 

177,861 

304 

1.276 

4,723 

14,612 

56,181 

111,997 

9,683 

Estimated  totals 

100.0% 
921.687 

200,661 

21,127 

179,534 

305 

1,285 

4,754 

14,783 

56,637 

113,132 

9,765 

Other  Cities 

Area  actually  reporting 

91  1% 

54.452 

5.407 

49,045 

81 

278 

882 

4,166 

13,564 

33,333 

2.148 

Estimated  totals 

100.0% 

59.796 

5.938 

53.858 

89 

305 

969 

4.575 

14,895 

36.604 

2.359 

Rural 

1,962.527 

Area  actually  reporting 

98.3% 

37,110 

3,907 

33.203 

123 

268 

295 

3,221 

15.175 

15.837 

2.191 

Estimated  totals 

100.0% 

37.739 

3.974 

33.765 

125 

273 

300 

3,276 

15.432 

16.105 

2,228 

State  Total 

6,413,000 

298,196 

31.039 

267,157 

519 

1,863 

6,023 

22,634 

86,964 

165.841 

14,352 

Rale  per  100.000 

inhabitants 

4.6499 

4840 

4.1659 

8  1 

29.1 

93.9 

352.9 

1,356.1 

2.586.0 

223.8 

See  footnotes  al  end  of  table. 


58 


Table  5. —  Index  of  Crime,  Stale,  1987  —  Continued 


Modified 

Murder 

Area 

I'npuljlinil 

Crime 
Indcy 
lolal 

Crime 
Index 
tolal' 

Vi,.lciil 
LTtmc" 

I'niperl) 
crime' 

uiid   non- 
negligcnl 

man- 
slaughler 

F.irtitile 
rape 

Rohlicry 

Aggra- 
vated 
assault 

Burgl.ir> 

Larceny- 
Ihefl 

Molnr 
vehicle 
Ihefl 

Arson' 

NORTH  DAKOTA 

Melropolilan  Slahslical 

Area 

24'».825 

Area  aclually  reporting 

100.0% 

11,013 

193 

10.820 

3 

37 

35 

118 

1,586 

8.733 

501 

Other  Cities 

136.248 

Area  actually  reporting 

'i'i.0% 

4,956 

85 

4.881 

2 

19 

12 

52 

633 

4.065 

183 

Estimated  totals 

100.0% 

5,019 

86 

4.933 

2 

19 

12 

53 

640 

4,108 

185 

Rural 

285.927 

Area  actually  reporting 

97,7% 

2,938 

101 

2.837 

5 

7 

4 

85 

815 

1.883 

139 

Estimated  totals 

100.0% 

3,006 

103 

2,903 

5 

7 

4 

87 

834 

1.927 

142 

State  Total 

672.000 

19,038 

382 

18,656 

10 

63 

51 

258 

3,060 

14,768 

828 

Rate  per  lOO.IXW 

inhabitants 

2.8330 

568 

2.7762 

15 

9,4 

7,6 

38,4 

455,4 

2.1976 

123,2 

OHIO 

Metropolitan  Statistical 

Area 

8.4').1.24l 

Area  actually  reporting 

')|.0% 

405.407 

39.687 

365,720 

559 

3.797 

15.521 

19.810 

94.819 

234.281 

35,620 

Estimated  totals 

100  0% 

430.718 

41.398 

389,320 

576 

3.948 

15.934 

20.940 

99.944 

250.954 

38.422 

Other  Cities 

867.W9 

Area  actually  reporting 

76.9%. 

31.433 

1.852 

29.581 

15 

154 

355 

1.328 

6.270 

22.055 

1.256 

Estimated  totals 

100,0% 

40.869 

2.408 

38,461 

19 

200 

462 

1.727 

8.152 

28.676 

1.533 

Rural 

1.422.760 

Area  actually  reporting 

77,2% 

16.835 

1.258 

15,577 

27 

121 

89 

1.021 

5.004 

9.619 

954 

Estimated  totals 

100,0% 

21.813 

1.630 

20,183 

35 

157 

115 

1,323 

6.484 

12.463 

1.236 

State  Total 

10,784,000 

493,400 

45,436 

447,964 

630 

4,305 

16,511 

23,990 

114,580 

292,093 

41,291 

Rate  per  100.000 

inhabitants 

4,575  3 

421  3 

4,154  0 

5,8 

39.9 

153  1 

2225 

1.062,5 

2.7086 

382,9 

OKLAHOMA 

Metropolitan  Statistical 

Area      ...           

1.915.541 

Area  aclually  reporting 

99,9% 

147,162 

10.273 

136,889 

141 

933 

3.138 

6.061 

42.939 

77.276 

16.574 

Estimated  totals 

100.0% 

147.198 

10.274 

136,924 

141 

933 

3.138 

6.062 

42.949 

77.298 

16.677 

Other  Cities 

708.775 

Area  actually  reporting 

99,9% 

37.336 

2.445 

34,891 

43 

162 

363 

1.877 

9.980 

22.756 

2,155 

Estimated  totals 

100,0% 

37.386 

2.448 

34.938 

43 

162 

363 

1.880 

9.993 

22.787 

2.158 

Rural                       

647,684 

Area  aclually  reporting 

100,0% 

12.575 

942 

11,633 

60 

78 

82 

722 

5.391 

5.284 

958 

State  Total 

3,272,000 

197,159 

13,664 

183.495 

244 

1,173 

3,583 

8,664 

58,333 

105,369 

19,793 

Rale  per   100,000 

inhabitants 

6.0256 

4176 

5,608,0 

7,5 

358 

1095 

264,8 

1.782,8 

3.2203 

604.9 

OREGON 

Metropolitan  Statistical 

Area 

1,8.15.043 

Area  actually  reporting 

99,8% 

146,502 

12.773 

133.729 

117 

935 

5.002 

6.719 

37.197 

86.118 

10.414 

Estimated  totals 

100,0% 

146,718 

12.783 

133.935 

117 

936 

5.005 

6,725 

37.249 

86.260 

10.426 

Other  Cities        

412.274 

Area  actually  reporting 

99,8% 

28,605 

1.007 

27.598 

15 

122 

244 

626 

6.248 

19.967 

1.383 

Esiimaied  totals 

1000% 

28,660 

1.008 

27.652 

15 

122 

244 

627 

6.260 

20.006 

1.386 

Rural 

476.683 

Area  actually  reporting 

100  0% 

14,457 

906 

13.551 

21 

189 

89 

607 

5.053 

7.641 

857 

State  Total 

2.724,000 

189,835 

14,697 

175,138 

153 

1,247 

5,338 

7,959 

48,562 

113,907 

12,669 

Rale  per   100.000 

inhabitants 

6,9690 

539.5 

6.429,4 

56 

458 

I96  0 

292,2 

1,782,7 

4.181,6 

465.1 

PENNSYLVANIA 

Metropolitan  Statistical 

Area 

10,105,550 

Area  aclually  reporting 

985% 

340,364 

41.419 

298.945 

589 

2.851 

16.923 

21,056 

75.728 

183.739 

39.478 

Estimated  totals 

100  0% 

344, 1 79 

41.749 

302.430 

591 

2.871 

16.991 

21,296 

76.445 

186.187 

39.798 

769,663 

Area  aclually  reporting 

97  9% 

18,277 

1.387 

16.890 

20 

91 

151 

1,125 

3.430 

12,584 

876 

Estimaled  totals 

100  0% 

18,664 

1.416 

17,248 

20 

93 

154 

1,149 

3.503 

12.850 

895 

Rural         

1,060,787 

Area  actually  reporting 

100,0% 

14,720 

922 

13,798 

31 

166 

96 

629 

6,229 

6.582 

987 

State  Total 

11,936,000 

377,563 

44,087 

333,476 

642 

3,130 

17,241 

23,074 

86,177 

205,619 

41,680 

Rale  per   100.000 

inhabitants 

3.163,2 

3694 

2,793  9 

5  4 

26,2 

1444 

1933 

722,0 

1.722,7 

349.2 

See  foninolcs  at  end  of  lablc 


59 


Table  5.  —  Index  of  Crime,  State,  1987  —  Continued 


Modified 

1 

Murder 

Area 

Piipulalinn 

Crime 
Index 
lolal 

Crime 
Index 

loial' 

Violent 
crime- 

Fniperly 
crime' 

and  luin- 
iiegligciil 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny - 
Ihefl 

Motor 
vehicle 
Ihefl 

Arson' 

PUERTO  RICO* 

Melropolilan  Slatisiicul 

Area 

:.60O,715 

Area  actually  reporting 

lOOOCr 

97.550 

21.049 

76.501 

438 

402 

13.925 

6.284 

30.468 

28.516 

17.517 

Other  cities  

678,516 

Area  aciually  reporting 

IOOO'~f 

12,594 

2.501 

10.093 

61 

88 

581 

1.771 

5.037 

4.155 

901 

Total 

3,279,000 

110,144 

23,550 

86,594 

499 

490 

14,506 

8,055 

35,505 

32,671 

18,418 

Rate  per  100.000 

inhabitants 

3.3588 

718,2 

2.640,7 

15,2 

14-9 

442,4 

245,6 

1.082,7 

996,3 

5617 

RHODE  ISLAND 

Metropohtan  Slativtica! 

Area 

<)22.764 

Area  acluall)  reporting 

<)<).4<7f 

48.677 

3.387 

45.290 

34 

222 

1.019 

2.112 

13.497 

24.337 

7.456 

Estimated  totals 

lOO.OCJ- 

48.856 

3.396 

45.460 

34 

223 

1.021 

2.118 

13.549 

24.436 

7,475 

Other  Cities 

63,236 

Area  actually  reporting 
Rural 

Area  actually  reporting 

lOO.O'Tr 

3.242 

147 

3.095 

1 

18 

41 

87 

656 

2.190 

249 

100  OTf 

17 

4 

13 

4 

3 

9 

1 

State  Total 

986,000 

52,115 

3,547 

48,568 

35 

241 

1,062 

2,209 

14,208 

26,635 

7,725 

Rate  per  100.000 

inhabitants 

5.285.5 

359,7 

4.925,8 

3,5 

24.4 

107,7 

224,0 

1.441,0 

2.701,3 

783,5 

SOUTH  CAROLINA 

Area 

2,062.666 

Area  actually  reporting 

W9'~, 

117.645 

14.433 

103.212 

198 

1.009 

2.562 

10.664 

29.677 

66.810 

6.725 

Estimated  totals 

lOO.OCf 

117.845 

14.454 

103.391 

198 

1.010 

2.567 

10.679 

29,720 

66.937 

6.734 

Other  Cities 

426.W2 

Area  actually  reporting 

<187'y 

27.680 

3.706 

23.974 

40 

189 

480 

2.997 

6.543 

16.270 

1.161 

Estimated  totals 

lOftO-zf 

28.043 

3.754 

24,289 

41 

191 

486 

3.036 

6.629 

16.484 

1.176 

Rural 

''35.432 

Area  actually  reporting 

lOOO^f 

30.906 

4.565 

26.341 

79 

296 

410 

3.780 

10,162 

14.471 

1.708 

State  Total 

3,425,000 

176,794 

22,773 

154,021 

318 

1,497 

3,463 

17,495 

46,511 

97,892 

9,618 

Rate  per  100.000 

inhabitants            

5.161,9 

664  9 

4.4970 

9,3 

43-7 

101,1 

5108 

1.358,0 

2.858,2 

280,8 

SOUTH  DAKOTA 

Metropolitan  Statistical 

Area 

199.303 

Area  actually  reporting 

I00.0'7t 

8.960 

529 

8.431 

3 

105 

65 

356 

1.638 

6.464 

329 

Other  Cities 

168.759 

Area  actually  reporting 

94.0% 

6.483 

186 

6.297 

6 

27 

13 

140 

979 

5,095 

223 

Estimated  totals 

lOOCJ 

6.896 

198 

6.698 

6 

29 

14 

149 

1.041 

5,420 

237 

Rural               

340.938 

Area  actually  reporting 

49,1% 

1.537 

60 

1.477 

2 

6 

4 

48 

544 

878 

55 

Estimated  totals 

100-0% 

3.131 

122 

3.009 

4 

12 

8 

98 

1.108 

1.789 

112 

Slate  Total 

709,000 

18.987 

849 

18,138 

13 

146 

87 

603 

3,787 

13,673 

678 

Rate  per  100,000 

inhabitants 

2.678,0 

119  7 

2.558,3 

1.8 

20-6 

12,3 

85,0 

534,1 

1.928,5 

95,6 

TENNESSEE 

Metropolitan  Statistical 

Area 

3.208.922 

Area  actually  reporting 

90,9% 

182.875 

21.982 

160.893 

352 

1.881 

8.909 

10.840 

51.530 

85.094 

24.269 

Estimated  totals 

100,0% 

192.0.34 

22.773 

169.261 

365 

1,947 

9.066 

11,395 

54.391 

89.887 

24,983 

Other  Cities   

570.025 

Area  actually  reporting 

862% 

18.342 

1.616 

16.726 

29 

94 

178 

1.315 

4.802 

10.621 

1,303 

Estimated  totals 

1000% 

21.274 

1,874 

19,400 

34 

109 

206 

1.525 

5.570 

12.319 

1,511 

Rural 

1.076.053 

Area  actually  reporting 

620% 

8.187 

777 

7.410 

28 

48 

85 

616 

3.515 

3.256 

639 

Estimated  totals 

100  0% 

1  3,208 

1.253 

11.955 

45 

77 

137 

994 

5.671 

5.253 

1.031 

State  Total 

4,855,000 

226,516 

25,900 

200,616 

444 

2,133 

9,409 

13,914 

65,632 

107,459 

27,525 

Rale  per  100.000 

inhabitants 

4.6656 

533,5 

4.132,2 

9-1 

43-9 

193,8 

286,6 

1.351,8 

2.213,4 

566,9 

See  footnotes  at  end  of  tablt 


60 


Table  5.  —  Index  of  Crime,  State,  1987  —  Continued 


Area 

PopulalioTi 

Crime 
lndt\ 
lolal 

Modified 
Crinu- 
Indes 

lolai' 

V'lok'lll 
tTinic 

Propcrl> 
enmc 

Murder 
jnd    lioil- 
iiogligcnl 

mali- 
slaugtilcr 

Forcitik- 
rape 

Robbery 

Aggra- 
valed 
assault 

Burglary 

Lareenv- 
Ihefl 

Motor 
vehicle 
Ihefl 

Arson' 

TEXAS 

Metropolitan  Siatisiical 

Area 

I3,572,2?3 

Area  actually  reporting 

100,0'* 

1.182.839 

96,298 

1,086,541 

1.679 

7.528 

37,088 

50,003 

319,964 

648.385 

118,192 

Other  Cities 

l,45').883 

Area  actually  reporting 

100.00} 

75.972 

6.774 

69,198 

103 

336 

722 

5,613 

19.378 

46,845 

2.975 

Rural 

1,756,864 

Area  actually  reporting 

gg  Jf7 

37.462 

2.870 

34,592 

176 

203 

241 

2,250 

16.149 

16,257 

2,186 

Estimated  totals 

lOOO^r 

37.708 

2.889 

34,819 

177 

204 

243 

2,265 

16.255 

16,364 

2,200 

State  Total 

16.789.000 

1,296,519 

105,961 

1,190,558 

1,959 

8,068 

38.053 

57,881 

355,597 

711,594 

123,367 

Rate  per   100.000 

inhabitants 

7,722,4 

63 1  1 

7,091  3 

11,7 

48.1 

226.7 

344,8 

2.118,0 

4.238,5 

734.8 

UTAH 

Metropolitan  Statistical 

Area 

I,2<)J,2I4 

Area  actually  reporting 

I00.0'7f 

82,121 

3.418 

78.703 

43 

318 

849 

2.208 

14.007 

61,674 

3.022 

Other  Cities                               

198.011 

Area  actually  reporting 

%.')'* 

8,468 

272 

8.196 

4 

28 

19 

221 

I.I46 

6,747 

303 

Estimated  totals 

lOOO'Tf 

8,743 

281 

8.462 

4 

29 

20 

228 

1.183 

6.966 

313 

Rural            

188.775 

Area  actually  reporting 

100  0--, 

3,529 

162 

3,367 

8 

18 

18 

118 

785 

2.398 

184 

State  Total 

1,680.000 

94,393 

3,861 

90,532 

55 

365 

887 

2,554 

15.975 

71,038 

3,519 

Rate  per  100.000 

inhabitants 

5,6186 

229.8 

5.388,8 

3.3 

21.7 

52.8 

152.0 

9509 

4,228.5 

209.5 

VERMONT 

Metropolitan  Statistical 

Area 

105,165 

Area  actual!)   reporting 

I00  0<7f 

8,294 

147 

8,147 

37 

35 

75 

1.933 

5,907 

307 

Other  Cities 

191.079 

Area  actually  reporting 

lOOO"* 

8,373 

299 

8.074 

7 

36 

34 

222 

1.703 

5,968 

403 

Rural 

251.756 

Area  actually  reporting 

100,0'* 

6,739 

302 

6.437 

8 

50 

23 

221 

2.449 

3,610 

378 

State  Total 

548.000 

23,406 

748 

22,658 

15 

123 

92 

518 

6,085 

15,485 

1,088 

Rate  per  100.000 

inhabitants 

4,271,2 

136.5 

4.134.7 

2.7 

22.4 

16,8 

94,5 

1.110.4 

2,825,7 

198.5 

VIRGINIA 

Metropolitan  Statistical 

Area 

4,220,778 

Area  actually  reporting 

lOOO'-f 

199.451 

I4.S74 

184.577 

339 

1,273 

5.936 

7,326 

39.484 

131,803 

13.290 

Other  Cities 

45.1,137 

Area  actually  reporting 

lOOCr 

16.701 

^61 

15.740 

26 

96 

152 

687 

2.837 

12,200 

703 

Rural          

1,2.10.085 

Area  actually  reporting 

100,0'?, 

17.616 

1,579 

16,037 

72 

168 

156 

1.183 

5.321 

9,687 

1.029 

State  Total 

5,904,000 

233,768 

17,414 

216.354 

437 

1,537 

6,244 

9.196 

47,642 

153,690 

15,022 

Rate  per  100,000 

inhabitants 

3.959.5 

295.0 

3.664,5 

7.4 

26.0 

105.8 

155.8 

806,9 

2.603.2 

254.4 

WASHINGTON 

Metropolitan  Statistical 

Area 

3.67S.4I9 

Area  actually  reporting 

99.17f 

272.261 

17.936 

254,325 

208 

2,105 

6.110 

9.513 

73.824 

164.522 

15.979 

Estimated  totals 

I00,0'7, 

275.529 

18.033 

257,496 

209 

2.121 

6,137 

9,566 

75.106 

166.276 

16:114 

Other  Cities 

373,410 

Area  actually  reporting 

87,l'7r 

24.902 

1.016 

23.886 

17 

120 

172 

707 

5.409 

17.508 

969 

Estimated  totals 

m.07r 

28.575 

1.165 

27.410 

19 

138 

197 

811 

6.207 

20.091 

1.112 

Rural 

486.171 

Area  actually  reporting 

i\  0% 

1 1 .609 

605 

1 1,004 

23 

90 

67 

425 

4.143 

6.289 

572 

Estimated  totals              

I00,0'7( 

14.332 

747 

13,585 

28 

111 

83 

525 

5,115 

7.764 

706 

State  Total 

4,538,000 

318,436 

19,945 

298,491 

256 

2,370 

6,417 

10,902 

86,428 

194,131 

17,932 

Rate  per  100,000 

inhabitants 

7.017.1 

439.5 

6.577.6 

5.6 

52,2 

1414 

2402 

1.904.5 

4,277,9 

395.2 

See  footnotes  at  end  of  table 


61 


Table  5.  —  Index  of  Crime,  State,   1987  —  Continued 


Art  J 

Populalion 

Crime 
Index 
loljl 

Modiricd 

Crinic 
Indes 

lulal' 

Violciu 
(.Time 

I'ropcrl) 
crime 

Murder 
jnd   non- 
iicgligcnl 

man- 
slaughler 

Forcihle 
rape 

R.ibberj 

Aggra- 
vated 
assault 

Burglary 

Lartenv  - 
Ihefl 

Miiuir 
vehicle 
then 

Arson' 

WEST  VIRGINIA 

Metropolitan  Statistical 

Area 

61.1.056 

Area  actually  reporting 

100.0'7r 

20.872 

1.324 

19.548 

24 

190 

394 

716 

5.363 

12.814 

1,371 

Other  Cities 

.(20.760 

Area  actually  reporting 

100.0'7r 

9.6.19 

-147 

9.292 

13 

44 

107 

183 

2.067 

6.720 

505 

Rural 

88.1184 

Area  actually  reporting 

100  0'?. 

11.047 

934 

10.113 

55 

195 

90 

594 

4,020 

4.902 

1,191 

Slate  Total 

1,897,000 

41,558 

2,605 

38,953 

92 

429 

591 

1,493 

11,450 

24,436 

3,067 

Rate  per  100,000 

inhabitants 

2.1907 

137  3 

2.0534 

4.8 

226 

31,2 

78-7 

603-6 

1.288-1 

161-7 

WISCONSIN 

Metropolitan  Statistical 

Area 

.1.207.475 

Area  actually  reporting 

<>9.i'7e 

156.656 

10.481 

146.175 

142 

844 

3.069 

6.426 

30.070 

106.002 

10,103 

Estimated  totals 

lOO.O^f 

157,375 

10.508 

146.867 

142 

844 

3.075 

6.447 

-10.193 

106,545 

10.129 

Other  Cities 

548.320 

Area  actually  reporting 

98-5% 

23.888 

671 

23.217 

11 

42 

84 

534 

3.362 

19.138 

717 

Estimated  totals 

lOO.OVf 

24.257 

681 

23.576 

11 

43 

85 

542 

3.414 

19,434 

728 

Rural 

1.051.205 

Area  actually  reporting 

')5,8'7f 

17.999 

790 

17.209 

14 

64 

31 

681 

6.604 

9,653 

952 

Estimated  totals 

100.0% 

18.793 

825 

17.968 

15 

67 

32 

711 

6.895 

10.079 

994 

State  Total 

4,807,000 

200,425 

12,014 

188,411 

168 

954 

3,192 

7,700 

40,502 

136.058 

11.851 

Rate  per  100.000 

inhabitants 

4.169  4 

249  9 

3.919.5 

3.5 

19  8 

664 

160.2 

842.6 

2.8304 

246-5 

WYOMING 

Metropolitan  Statistical 

Area 

141,120 

Area  actually  reporting 

100  0% 

7.160 

435 

6.725 

4 

59 

46 

326 

1.471 

5,008 

246 

Other  Cities 

225.0.14 

Area  actually  reporting 

99  6% 

9.910 

667 

9,243 

2 

67 

39 

559 

1,317 

7,624 

302 

Estimated  totals 

100.0% 

9.946 

669 

9,277 

2 

67 

39 

561 

1,322 

7,652 

303 

Rural 

12.1.846 

Area  actually  reporting 

100  0% 

2.647 

283 

2,364 

4 

28 

13 

238 

723 

1,511 

130 

State  Total 

490,000 

19,753 

1.387 

18,366 

10 

154 

98 

1,125 

3,516 

14,171 

679 

Rate  per   100.000 

inhabitants             

4.031-2 

283-1 

3.748-2 

2-0 

314 

200 

229.6 

717.6 

2,8920 

138,6 

'Allhough  arson  data  are  included  in  the  trend  and  clearance  tables.  sufTicienl  data  are  not  available  to  estimate  totals  for  this  olTense. 

'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  b>    the  siate-le\el  Liniform  Crime  Reporting  (UCR)  Program  administered  by  (he  Illinois  Department  of  State  Police  were  not  in  accordance 
with  national   UCR  guidelines,   The   I ''87  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  4  for  details. 

The  rates  were  calculated  using  the  unrounded  population. 


62 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns   10,000  and  over  in   Population,   1987 

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


Cil>    h>    Stale 

I'lipulalioii 

Crinio 
Index 

Miidiriaf 
Crinii: 
Index 

Murder 
and    noil- 
iicgligent 

Koreible 
rape 

Ri.bliers 

Aggra- 
vated 

Burglary 

Lareeity- 
thcfl 

Miil..r 
sehlele 

.J^rsi.Ti* 

lot  ill 

total 

man- 
slaughter 

assault 

Iheft 

ALABAMA 

Alabaster 

12.')88 

202 

202 

1 

3 

45 

24 

119 

10 

Albcrlviile 

14.358 

382 

2 

1 

2 

53 

76 

212 

36 

Anniston 

2''.5')3 

3.424 

3.455 

8 

26 

124 

524 

864 

1,754 

124 

31 

Athens 

IS.OW 

493 

s 

1 

73 

87 

305 

24 

Auburn 

2<iMi 

1,853 

1 

6 

8 

183 

324 

1,261 

70 

Bessemer 

32.273 

2,469 

2,486 

11 

23 

88 

236 

610 

1.336 

165 

17 

Birmingham 

282.171 

27,796 

28.041 

84 

311 

1,591 

1.546 

7,250 

13,726 

3.288 

245 

Cullman               

12.615 
45.341 

570 
3,119 

3.145 

3 
3 

9 

6 

30 

34 
184 

67 

735 

425 
1.984 

35 
174 

Decatur                

26 

Dothan 

53.714 

4,154 

1 

12 

35 

251 

944 

2.818 

93 

Enterprise 

1').940 

1,485 

1.485 

12 

18 

107 

295 

1.014 

39 

Eufaula 

12.745 

521 

522 

1 

2 

4 

84 

96 

330 

4 

1 

Fairfield 

12.<)78 

1,211 

1.214 

9 

66 

90 

261 

677 

108 

3 

Florence 

36.373 

2,099 

3 

10 

18 

128 

350 

1,461 

129 

Fort   Payne 

11.829 

502 

4 

8 

25 

75 

349 

41 

Gadsden 

45,522 

2,769 

4 

24 

59 

327 

525 

1.646 

184 

Homewood 

22,167 

2,014 

1 

6 

78 

124 

453 

1,199 

153 

Hoover 

30,378 

1,595 

1.597 

4 

22 

53 

325 

1,046 

145 

2 

Hueytown 

16,685 

420 

1 

16 

46 

114 

220 

23 

Huntsville 

164,658 

12,737 

12.820 

16 

68 

213 

464 

2.217 

9,219 

540 

83 

Jasper 

12.564 

740 

4 

3 

16 

60 

201 

361 

95 

Leeds 

10,761 

359 

361 

2 

2 

5 

18 

68 

225 

39 

2 

Mobile 

204,800 

21,623 

21,669 

32 

127 

775 

2,038 

9.429 

8.280 

942 

46 

Montgomery 

195,762 

10,106 

10,151 

22 

16 

179 

112 

1,939 

7.268 

570 

45 

Mountain  Brook 

20,413 

451 

451 

2 

16 

III 

305 

17 

Northport 

15,834 

1.128 

1.133 

5 

20 

362 

126 

588 

27 

5 

Opelika 

24,686 

2,454 

1 

II 

24 

224 

492 

1,665 

37 

Oxford 

10,559 

588 

1 

12 

71 

83 

386 

35 

Ozark 

15,023 

970 

975 

6 

3 

IS 

157 

147 

605 

34 

5 

Phenix  City 

27,446 

1,866 

3 

II 

29 

287 

395 

1,040 

101 

Prattville 

21,280 

883 

1 

3 

6 

115 

186 

530 

42 

Prichard 

39,114 

3,9 1 3 

7 

37 

166 

754 

1,299 

1.489 

161 

Saraland 

10,297 

543 

543 

8 

42 

90 

385 

18 

Scottsboro 

14,036 

578 

2 

9 

54 

88 

388 

37 

Selma 

25,864 

2,817 

3 

14 

59 

749 

524 

1.402 

66 

ShefTield 

10,993 

625 

632 

3 

1 

6 

12 

141 

431 

31 

7 

Sylacauga 

12,998 

510 

1 

9 

39 

68 

375 

18 

Talladega 

19.779 

766 

9 

II 

86 

170 

457 

33 

Troy 

12,726 

883 

886 

1 

3 

164 

136 

563 

16 

3 

Tuscaloosa 

74,389 

6,106 

q 

44 

128 

865 

1.398 

3,3''6 

336 

Tuskegee 

12,867 

1.538 

s 

6 

14 

294 

458 

726 

38 

Veslavia  Hills 

17,431 

525 

526 

1 

1 

9 

16 

120 

354 

24 

1 

ALASKA 

Anchorage 

231,039 

13,746 

13.910 

15 

154 

285 

571 

2,113 

9,491 

1.117 

164 

Fairbanks 

66,461 

2.472 

2,491 

39 

32 

97 

351 

1.728 

225 

19 

Juneau 

24,579 

I.II5 

4 

1 

24 

150 

882 

54 

ARIZONA 

Apache  Junction 

15,865 

1,391 

1,405 

18 

11 

35 

245 

1,015 

67 

14 

Bullhead  City 

19.560 

1,654 

1,662 

3 

3 

30 

182 

578 

687 

171 

8 

Casa  Grande 

16,481 

1,564 

1.587 

7 

18 

99 

282 

1.108 

50 

23 

Chandler 

71,204 

4.946 

5,181 

1 

20 

45 

185 

1,096 

3.354 

245 

235 

Douglas 

14,571 

1,074 

1,079 

-) 

6 

46 

272 

669 

79 

5 

Flagstaff 

40,894 

3,755 

3,771 

4 

21 

43 

231 

535 

2.758 

163 

16 

Gilbert 

13,537 

805 

813 

1 

1 

4 

10 

204 

542 

42 

8 

Glendale 

131,323 

1  2,030 

12.122 

13 

60 

158 

903 

2,932 

7,193 

771 

92 

Kingman 

11.231 

1.753 

1,769 

1 

17 

49 

437 

1,181 

68 

16 

63 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns   10,000  and  over  in   Population.   1987 — Continued 


City  by  Stale 

Population 

Crime 
liidev 

total 

MiKltned' 
Crime 
Index 
total 

Murder 
and  noii- 
negligeiit 

man- 
slaughter 

Foreible 
rape 

Robtien 

Aggra- 
>ated 
assault 

Hurglar> 

Larceny- 
ihelt 

Motor 
^ehlele 
Ihefl 

Arson- 

ARIZONA— Continued 

Lake  Havasu                  

19.080 
262.428 

880 
16,840 

883 
16.976 

3 

9 

4 
96 

5 

222 

107 
966 

190 
3,356 

513 
11.235 

58 

956 

3 

Mesa 

136 

Nogales 

18.4.32 

1,189 

1,189 

21 

41 

416 

611 

100 

Paradise  Valley 

11.982 

491 

492 

1 

1 

3 

26 

265 

182 

13 

1 

Peoria 

.30.989 

2,179 

2,180 

6 

14 

87 

531 

1,442 

99 

1 

Phoenix 

933.177 

83,960 

84,434 

111 

503 

2.287 

5,280 

21,185 

48.700 

5.894 

474 

PrescotI 

22.461 

1,562 

1.573 

2 

13 

55 

220 

1,209 

63 

11 

Scottsdale 

116.001 

6,545 

6,570 

4 

19 

113 

126 

1,288 

4,636 

359 

25 

Sierra  Vista 

30.613 

1,246 

1,248 

1 

9 

12 

170 

990 

64 

2 

Tempe 

142.450 

11,122 

1 1 , 1 60 

4 

82 

190 

398 

1,727 

8,057 

664 

38 

Tucson 

374.546 

42,316 

42.562 

23 

281 

911 

2,308 

7,954 

28,888 

1,951 

246 

Yuma 

49.306 

4,977 

5.004 

3 

32 

74 

356 

857 

3,389 

266 

27 

ARKANSAS 

Benton 

18.347 

501 

503 

6 

7 

10 

90 

350 

38 

2 

BentonviUe 

11.036 

483 

484 

5 

4 

103 

335 

36 

1 

Blylheville 

23,371 

2,209 

2.241 

3 

11 

29 

259 

489 

1,360 

56 

32 

Camden 

16,826 

1.196 

1.198 

2 

4 

19 

429 

169 

531 

42 

2 

Conway 

23.613 

1,540 

1.541 

11 

16 

102 

246 

1.111 

54 

I 

El  Dorado 

25.687 

1,441 

1.445 

3 

11 

30 

69 

255 

1,016 

57 

4 

Fayetteville 

40,389 

2.164 

2.170 

s 

10 

13 

71 

613 

1.352 

103 

6 

Forrest  City 

13.997 

1.640 

1 .652 

s 

10 

10 

220 

360 

1.006 

32 

12 

Fort  Smith 

74.837 

6.849 

6,896 

4 

57 

98 

394 

1,368 

4.396 

532 

47 

Harrison 

11.066 

274 

274 

2 

3 

52 

199 

18 

Hope                                 

10.221 

614 

615 

1 

5 

10 

140 

441 

17 

1 

Hot  Springs                   

37,187 
29,856 
30,259 
182.290 

3.930 
1.627 
1.553 

22.227 

3,934 

1,635 

1,554 

22,367 

2 

1 
28 

30 

15 

5 

211 

90 

19 

24 
776 

223 

96 

10 

1,896 

787 

264 

271 

5,398 

2.540 

1,173 

1,149 

12,987 

258 
60 
93 

931 

4 

Jacksonville             

8 

Jonesboro              

1 

Little  Rock 

140 

Magnolia 

Malvern 

11.812 

171 

171 

2 

3 

97 

61 

8 

10,221 

435 

439 

2 

4 

6 

18 

121 

268 

16 

4 

Nonh  Little  Rock 

63,982 

6,071 

6,082 

9 

51 

159 

515 

1,177 

3,923 

237 

11 

Paragould 

16,011 

712 

714 

4 

8 

25 

220 

417 

38 

2 

Pine  BlutT 

61,747 

4,453 

4,482 

7 

51 

102 

403 

1,115 

2.628 

147 

29 

Rogers 

21.438 

927 

932 

4 

8 

6 

208 

667 

34 

5 

Russellville 

19,726 

1,389 

1,395 

2 

5 

3 

61 

324 

931 

63 

6 

Searcy       

14.248 

608 

614 

6 

21 

64 

496 

21 

6 

Sherwood 

15.557 

647 

648 

1 

3 

29 

149 

441 

24 

1 

Springdale 

26,352 

1,594 

1.603 

1 

7 

6 

54 

327 

1.091 

108 

9 

Stuttgart     

10.543 

368 

368 

2 

3 

73 

275 

15 

Texarkana 

22..395 

3,244 

3,254 

1 

21 

86 

159 

665 

2.203 

109 

10 

Van  Buren 

12.809 

895 

896 

3 

8 

4 

300 

531 

49 

1 

West  Helena 

10,805 

281 

281 

84 

174 

23 

West  Memphis 

28,003 

2,106 

2,121 

3 

31 

65 

133 

582 

1,191 

101 

15 

CALIFORNIA 

Agoura  Hills 

17,471 

492 

500 

1 

10 

65 

134 

219 

63 

8 

Alameda 

74,466 

4,293 

4,317 

2 

12 

135 

151 

796 

2,936 

261 

24 

Albany 

15,728 

782 

784 

1 

3 

35 

65 

177 

428 

73 

2 

Alhambra 

73,502 

3.997 

2 

24 

144 

511 

895 

1,791 

630 

Anaheim 

246.815 

17.306 

17.399 

14 

91 

659 

510 

4.892 

8,733 

2,407 

93 

Antioch 

51.356 

3.817 

3.905 

2 

20 

86 

146 

943 

2,399 

221 

88 

Arcadia 

48.947 

2.255 

2.261 

5 

56 

129 

524 

1,259 

282 

6 

Areata 

14.569 

820 

820 

1 

4 

4 

49 

168 

566 

28 

Arroyo  Grande 

14.190 

640 

642 

5 

8 

53 

106 

444 

24 

2 

Arlesia 

15.318 

537 

541 

2 

5 

39 

93 

125 

205 

68 

4 

Atascadero 

21.398 

861 

870 

2 

7 

4 

66 

194 

555 

33 

9 

Atwaier 

20.424 

952 

958 

1 

4 

10 

73 

263 

563 

38 

6 

64 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1987 — Continued 


Cily  by  Stale 


Population 


Criine 
Index 
total 


Modified' 
Crime 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
then 


Motor 
vehicle 
then 


CALIFORNIA— Continued 

Azusa 

Bakersfield  

Baldwtti  Park     

Banning 

Barstow 

Bell    

Bell  Gardens 

Bellflower 

Belmont 

Benicia 

Berkeley  

Beverly  Hills 

Brawley  

Brea        

Buena  Park 

Burbank        

Burlingame 
Calexico  . 

Camarillo 

Campbell 

Capilola 

Carlsbad 

Carpintena 


Carson    

Cathedral  City 

Ceres 

Cernlos 

Chico 


Chino 

Chula  Vista 
Claremont 
Clearlake 
Clovis 

Coachella 

Colton 

Commerce 

Compton 

Concord 

Corona    

Coronado 

Costa  Mesa  . 

Covina     

Cudahy 

Culver  City  . 

Cupertino 

Cypress 

Daly  City... 
Danville 

Davis 

Delano 

Dinuba 

Dixon 

Downey 


Duane 

Dublin 

East  Palo  Alto 

El  Cajon 

El  Centro 


E!  Cernto 


36,654 
1 54,202 
64,6.33 

17,368 
20,762 
29.979 
37,863 
60,009 

25,212 
22,484 
106,742 
34,542 
18,393 

33,527 
67.843 
91,373 
26,924 
18,732 

45,686 
35,013 
10,160 
52,084 
12,221 

90,060 
20,813 
17,953 
58,625 
33,506 

52,115 
121,844 
35,526 
10,960 
42,129 

13,370 
30,133 
11,504 
95,894 
108,659 

47,655 
21,367 
90,501 
41,903 
21,459 

40,683 
39,094 
44,302 
85,098 
28.708 

42,272 
20,577 
11,575 
10,653 

87,528 

21,285 
19,593 
19,101 
86,595 
28.585 

23.520 


2.183 
15,725 
2,791 

1,659 
1,741 
1,358 
2,476 
2,978 

602 

774 

12,484 

2,494 

1,535 

1,771 
3,727 
4,244 
1,464 
1,906 

1,114 
2,124 
1 , 1 34 
3,373 
373 

4,466 
1,044 
1,729 
3.026 
2,924 

2,701 
9,397 
1.474 
853 
2.746 

779 
2.916 
2,110 
8,556 
7,082 

3,533 

785 

6,626 

2,791 

754 

3,033 
1,998 
2,067 
3,619 
796 

2,749 

1.417 

520 

449 

3,930 

740 

599 

1.747 

5,989 

3,151 

1.627 


2.203 
15,897 
2,822 

1,665 
1,758 
1.371 
2,491 
2,993 

606 

776 

12.564 

2,501 

1,542 

1,773 
3.747 
4.284 
1.473 
1.907 

1.124 
2,131 
1.137 
3,385 
374 

4,515 
1,045 
1,744 
3,037 
2.972 

2,732 
9,417 
1,484 
859 
2,770 


2,938 
2,120 
8,579 
7,112 

3.561 

790 

6.643 

2.801 

760 

3,033 
2,021 
2.104 
3.633 
806 

2,773 

1,426 

524 

453 

3,963 

750 

604 

1,747 

6,043 

3,158 

1.633 


7 
14 

7 
148 
33 

14 

2 

28 

18 

5 


81 
699 
168 

47 

23 

118 

154 

201 

13 
6 

580 
153 
44 

25 

140 

150 

19 

32 

34 

25 

5 

95 


283 
16 
30 

115 
35 

75 

278 

48 

4 

28 

16 

97 

73 

1,304 

107 

83 
6 
115 
93 
64 

196 

31 

41 

121 

14 

12 
45 

II 

4 

177 

41 

15 

144 

114 

75 

79 


141 

1,103 

229 

237 
262 
111 
593 
419 

42 

19 

538 

118 

92 

194 

325 

187 

35 

68 

67 
160 

70 
145 

27 

490 
109 
75 
178 
124 

244 

778 

65 

61 

97 

80 

173 

139 

1.976 

324 

193 

32 

235 

351 

66 

49 
51 
92 
97 
16 

124 
114 
42 
72 
116 

90 

8 

400 

331 

77 

19 


622 
4,241 
1,378 

504 
262 
548 
714 
711 

128 
174 
2.442 
485 
457 

385 
985 
847 
232 
384 

281 
314 
250 
944 
69 

1,097 
330 
351 
581 
640 

875 
2.215 
416 
304 
709 

207 

861 

332 

1.690 

1.402 

1,039 
205 

1,440 
558 
268 

574 
263 
470 
463 
246 

425 
335 
131 
120 
901 

227 
145 
430 
1,305 
825 

307 


1.013 

8.562 

469 

775 

1,014 

265 

711 

1,057 

365 

516 

7,823 

1,508 

850 

985 
1,649 

2,105 
1,035 
1,244 

654 
1,473 

760 
1,680 

225 

1,812 
482 
1,169 
1,580 
1.914 

1,183 

4,137 

799 

434 

1.699 

411 
1,407 
1,047 
1,889 
4,690 

1,772 

426 

4,075 

1,476 

198 

1,667 
1,542 
1,263 
2.461 
476 

2,061 
791 
309 
226 

2,006 

294 

376 

517 

2.941 

2.010 

1,081 


303 

1,032 

520 


176 
304 
271 
563 

47 

57 

1.045 

227 


178 
615 
927 
137 
173 

74 
136 

46 
482 

40 

744 

98 

95 

558 

187 

311 

1,930 

131 

40 

197 

57 

359 

511 

1,469 

523 

430 
113 
732 
293 
153 

539 
101 
183 
450 
39 

117 

120 

23 

21 

706 

78 
55 

225 
1.268 

147 

133 


65 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1987 — Continued 


City  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 

Arson* 

CALIFORNIA— Continued 

99.062 
15.512 
85.662 
25.509 

70.488 
11.176 
18.670 
56.811 
26.688 

56.790 
157.462 
291.855 
111.499 

50,515 

138,259 
28,226 

157,544 
42,231 
10,499 

11,145 
25,529 
12,795 
62,347 
104.086 

27.354 
10.847 
19.091 
11.104 
16.435 

188.261 
56.400 
29.959 

105.142 
90.676 

20.803 
23.089 
19.132 
49.377 
77.757 

53.150 
42.713 
65.136 
16.271 
34,829 

28,739 
27,119 
12,201 
55,150 
45,184 

12.447 
20.465 
31.907 
406.297 
12.180 

28.390 

3.341.726 

13.575 

28,472 

57,303 

5.797 
1,117 
6,615 

3,083 

5,391 
382 
626 

5,259 
949 

3.062 
6.701 
32.090 
6.698 
3.301 

10.045 

1.523 

8.593 

1.470 

464 

307 
1.400 

724 
4,804 
7,295 

2,668 
286 
989 
145 
943 

8.741 
4.050 
4.332 
7.662 

3.742 

461 

640 

1,005 

2,775 

3,516 

3,391 
1.322 
3,741 
528 
1.840 

1.050 
1.614 
499 
2.444 
3.320 

818 

820 

1.987 

31.364 

600 

731 

288.509 

763 

1,125 

3,251 

5,863 
1,125 
6,641 
3,103 

5,419 
389 
628 

5.283 
953 

3.079 
6.836 
32.260 
6.737 
3.326 

10.106 

1.552 

8,697 

1,480 

466 

309 
1.411 

731 
4.905 
7.349 

2.690 
291 
989 
145 
953 

8.775 
4.053 

7.757 
3.775 

463 

645 

1,010 

2,798 

3,532 

3,401 
1,326 
3,764 
531 
1.856 

1.055 
1.624 
500 
2.461 
3.331 

825 

820 

2.009 

31.519 

612 

731 

294.083 

764 

1.145 

3,306 

12 

1 
4 

1 

2 

1 
7 

1 

33 
2 

3 

10 

6 

3 

1 
1 
4 

3 

4 

64 

5 

29 

14 

27 
1 
3 

52 
4 

17 
37 
196 
50 
13 

63 

8 

28 

12 

1 

I 
8 
7 

30 
33 

10 

1 

U 

385 
34 

155 
45 

109 
7 

10 
183 

7 

87 

129 

1.096 

148 

358 

431 
27 

227 
38 
12 

4 

30 

64 

391 

243 

45 

2 

26 

767 

58 

304 

432 

323 
94 
50 

468 

37 

57 

923 

2,048 

268 

293 

458 
162 
373 
234 

37 

10 
69 
115 

423 
353 

319 
17 
51 
13 

101 

287 
298 
302 
800 

72 

43 

9 

53 

87 

326 

123 
122 
437 
33 
293 

49 
213 

21 
157 
133 

57 
99 
89 
1,910 
25 

51 

34,661 

20 

38 

692 

1,592 

203 

1,409 

763 

873 

95 

181 

1.264 

137 

597 
1.526 
9.103 
1,601 

771 

2,458 
277 

1,809 
340 
222 

146 
265 
186 
936 
1,581 

607 
85 

268 
48 

213 

2,253 

844 

1,040 

1,909 

908 

158 
184 
321 
600 
652 

738 
340 
996 
131 
501 

307 
456 
127 
541 
624 

270 
223 
460 
7.147 
177 

209 

52.927 

203 

242 

767 

1.799 

650 

3,791 

1,706 

3,694 
167 
343 

2,671 
722 

2.007 
3,600 
16,682 

3,745 
1.209 

5.265 
949 

4.822 
716 
152 

127 

960 

276 

2.065 

4.576 

1.465 

154 

482 

84 

551 

5.157 
1,072 
2,525 
2,055 
2,459 

207 

406 

525 

1,738 

1,687 

1,779 
606 

1,775 
254 
566 

547 

570 

316 

1,580 

2,278 

389 

364 

1,299 

14.366 

331 

441 

114.643 

501 

745 

770 

1.178 
166 
923 
122 

363 

18 

38 

614 

42 

297 
485 
2,932 
884 
654 

1.360 
100 

1.328 
127 
40 

19 

67 

75 

955 

506 

218 
27 
151 

50 

799 
1.505 

295 
1.795 

261 

39 

26 

67 

260 

635 

648 
204 
385 
94 
318 

109 
259 
28 
125 
231 

71 
94 
98 
5,191 
51 

20 

57,106 

21 

69 

599 

66 

8 

26 

20 

Fairfield                  

28 

7 

2 

24 

Foster  City                         

4 

Fountain  Valley 

Fremont 

17 
135 
170 

Fullerton                           

39 

25 

Garden  Grove 

61 

Gilroy 

Glendale                                         

29 
104 

10 

2 

2 

11 

7 

101 

541 

Hemet 

Hercules                     

221 

5' 

Hollister                                                  ... 

1 

6 
6 

5 
30 

2 

1 
3 

2 
2 

-> 

1 

2 

3 

62 

1 

9 

40 
13 
16 
100 
11 

1 
7 
9 
11 

28 

11 

7 
42 

1 
20 

8 
11 

1 
18 
10 

7 
2 

10 

221 
1 

4 
2.169 

7 

42 

18 

199 
312 
149 
973 
29 

13 

8 

29 

79 

185 

92 
41 

104 
15 

140 

30 

103 

6 

23 
43 

24 
36 
28 

2.467 
14 

6 

26.192 

17 

22 

356 

10 

34 

Huntington  Park 

3 

95 

33 

2 

5 

5 

23 

Lakewood               

16 

La  Mesa 

La  Mirada                        

10 
4 

23 

La  Palma 

La  Puente 

La  Verne 
Lawndale 

3 
16 

5 
10 

17 

Lodi                                       

11 

Loma  Linda 

7 

Lompoc 

Long  Beach             

22 

155 
12 

Los  Angeles            

811 
1 

2 

25 

5,574 

Los  Banos 

Los  Gatos               

1 
20 

Lynwood 

55 

66 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1987 — Continued 


City  by  Stale 


Population 


Cnme 
Index 
total 


Modified* 
Cnme 
Index 
total 


Murder 
and  non- 
negligent 

ttlan- 
slaughler 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


CALIFORNIA— Continued 

Madera    

Manhattan  Beach 

Manteca  

Marina 

Mailinez 

Marysville 

May  wood 

Menio  Park 

Merced      

Mtllbrae 

Mill  Valley 

Milpilas 

Modesto 

Monrovia 

Montclair 

Montebello 

Monterey 

Monterey  Park 

Moorpark 

Moraga 

Morgan  Hill 

Morro  Bay 

Mountain  View 

Napa      ,., 

National  City 

Newark 

Newport  Beach 

Norwalk 

Novato 

Oakdale 

Oakland 

Oceanside 

Onlarto  

Orange  

Orinda 

Oroville 

Oxnard 

Paciftca 

Pacific  Grove 

Palm  Springs 

Palo  Alto 

Palos  Verdes  Estates 

Palmdale 

Paradise 

Paramount 

Pasadena 

Paso  Robles 

Perris 

Pelaluma 

Pico  Rivera  

Piedmont 

Pinole  

Pittsburg 

Placentia 

Pleasant  Hill 

Pleasanlon 

Pomona 

Porterville 

Port  Hueneme 

Rancho  Cucamonga 


26,493 

35,454 
37,095 
27,816 
28,144 

11,217 
26,626 
27,970 
48.209 
20,721 

13,216 
45,235 
136,300 

33.957 
26.175 

56,134 
30.799 
62,388 
16,148 
15,512 

21,705 
10,232 

62.532 
58.195 
58,841 

38,366 
68.427 
92.326 
46.876 
10.232 

365.983 
101.646 
117,210 
103,286 

17.707 

10.089 
130.190 
37,894 
16.845 
31,794 

57,364 
14,959 
28,031 
25.765 
43.831 

133.183 
14.518 
10.417 
39,535 
55.714 

10.683 
15,287 
42.282 
39.217 
29,200 

45,471 
118.461 
25.089 
20.598 
77.675 


1.328 
1.841 
2.596 
804 
1.430 

1.260 

823 

1.681 

3.686 

583 

524 
3.131 
10.471 
2.057 
2,809 

3,382 

2,380 

2.703 

320 

311 

743 
410 

3.652 
4.011 
5.543 

2.565 
3.917 
3.948 
1.531 
819 

44,535 
6,536 
9,206 
6.580 

355 

1,140 
7,859 
1.253 
584 
3,729 

3,455 

273 
2.219 

522 
2.873 

8.437 
956 
1.615 
2.000 
2.245 

327 

892 

3.017 

1.394 

1,886 

1,499 
9.325 
3.323 
637 
3.476 


1.335 
1,853 
2.612 
812 
1.436 

1.266 

827 

1.689 

3.715 

585 

526 
3.150 
10.534 
2.068 
2,819 

3,406 

2.397 

2.704 

322 

311 

750 
411 

3.676 
4.024 

5.557 

2.568 
3.924 
3.976 
1.539 
825 

44.995 
6.559 
9.494 
6.632 

357 

1.142 
7.901 
1.259 
586 
3.781 

3.460 

274 
2.228 

523 
2,893 

8.525 
957 
1,615 
2.028 
2.273 

332 

892 

3.036 

1.424 

1,892 

1.512 
9.656 
3.333 
639 
3.489 


114 

12 

14 

4 

1 

2 
4 
2 


14 


5 

4 

13 

19 

31 

4 

23 

32 

4 

4 

538 

63 

55 

21 

3 

10 

70 

6 

6 
35 

14 
1 

14 
4 
14 

62 
5 
6 

14 
16 


58 
48 
33 
20 

17 

26 

80 
53 
85 
17 

5 

56 

246 

113 

147 

171 
72 

181 
2 
3 

2 

2 

65 

32 

313 

48 

42 

222 

29 

6 

3.176 

257 

369 

175 

4 

13 
339 

14 

9 

107 

72 

1 

68 

8 

222 

471 
12 
49 
31 

137 

10 
19 

170 
30 
30 

13 
676 
64 
29 
70 


252 
58 
76 
37 
42 

80 

97 

168 

129 

17 

14 
657 
398 
121 
138 

243 
181 
133 

37 
6 

37 

17 

161 

446 

244 

155 
182 
533 
88 
103 

2.657 
695 
919 
243 


78 
467 
219 

55 
431 

54 
20 

329 
34 

435 

611 
74 
204 
162 
362 

10 

64 

450 

116 

35 

36 

1.069 

84 

52 

291 


354 
377 
846 
173 
382 

214 
192 
387 
838 
104 

137 
531 
2.338 
486 
728 

791 
450 
594 
102 
103 

178 
100 
589 
855 
882 

372 

1.003 

1,050 

365 

161 

10.793 
1,610 
2,667 
1.648 


324 

2,023 

229 

116 

1.015 

591 
81 
599 
176 
738 

1.896 
272 
483 
533 
564 

73 

176 

1.068 

424 

385 

312 
2.636 
1.459 

193 
1,267 


530 

1.113 

1.475 

511 

831 

839 
282 
979 
2.386 
401 

347 
1.665 
6,640 
1.105 
1.322 

1,461 

1,555 

1,135 

150 

191 

494 

271 

2,651 

2.475 

2.690 

1.865 

2.360 

1.464 

988 

517 

22.448 

3.082 

3,953 

3.766 

240 

606 

4.371 
676 
377 

1.830 

2.555 
155 
955 
267 
941 

4.253 
532 
737 

1,170 
761 

221 
552 

1.073 
669 

1.325 

1.053 
3.541 
1.512 
320 
1.432 


114 
234 
154 
53 
147 

93 
166 
84 

232 
41 

20 
197 
780 
218 
445 

695 
106 
651 

28 


26 

16 

172 

184 

1.377 

120 

306 

643 

56 

28 

4.809 
817 

1.229 

723 

11 

107 
585 
107 
21 
307 

169 
15 

252 
32 

513 

1.130 

61 

135 

88 

403 

13 

80 

214 

146 

108 

78 

1.303 

188 

34 

382 


67 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,   1987 — Continued 


Cily  by  State 


Population 


Clime 
litdex 
total 


Modified' 
Ctntne 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


CALIFORNIA— Continued 


Rancho  Palos  Verdes 

Red  Bluff 

Redding 

Redlands 

Redondo  Beach 


Redwood  City . 

Reedley 

Riallo     

Richmond 

Ridgecrest 


Riverside 

Rocklin 

Rohnert  Park. 

Rosemead 

Roseville 


Sacramento 

Salinas 

San  Anselmo 

San  Bernardino . 
San  Bruno 


San  Carlos 

San  Clemente. 

San  Diego  

San  Dimas 

San  Fernando., 


San  Francisco 

San  Francisco  Highway  Patrol.. 

San  Francisco  Stale  Police 

San  Gabriel 

Sanger 


San  Jacinto 

San  Jose  

San  Juan  Capistrano.. 

San  Leandro 

San  Luis  Obispo 


San  Marino . 
San  Mateo... 
San  Pablo  ... 
San  Rafael... 
San  Ramon  . 


Santa  Ana 

Santa  Barbara  

Santa  Clara 

Santa  Cruz 

Santa  Fe  Springs  . 


Santa  Maria  ... 
Santa  Monica . 
Santa  Paula... 

Santa  Rosa 

Saratoga 


Seal  Beach 

Seaside    

Selma        

Sierra  Madre.. 
Simi  Valley 


47,716 
12.355 
52.792 
54.237 
65.443 

58,789 
13,862 
55,150 
79,828 
25,601 

201,723 
10,407 
31,753 
48,721 
30,317 

331,728 
99,411 
12,283 

142,124 
36,080 

26,298 
34,039 
1,040,851 
29,569 
20,793 

767,933 


South  El  Monte 

South  Gate 

South  Lake  Tahoe  . 

South  Pasadena 


33,885 
14,631 

11,586 
730,079 
23,581 
67,463 
38,161 

14,128 
83,068 
22,105 
45,861 
26,790 

242,765 
81,294 
90,799 
47,050 
15,728 

52,566 
95,525 
23,622 
100,067 
30,266 

27,549 
37,987 
13.698 
11.268 
92.306 

18.414 
82.617 
21.828 
24.258 


817 
1,166 
4,035 
3,119 
3,665 

3,680 
748 

3,936 

10,165 

933 

16,953 

498 

1.709 

2,292 

2.367 

34.355 

7.726 

433 

15.931 
1.667 

840 

1.189 

88.227 

1,258 

1,307 

57,837 

3 

190 

1,703 

533 

875 

36,518 

916 

5,103 

1,964 

347 
5,856 
3,319 
2,381 

948 

20,427 
4,312 
5,461 
4,830 
1,883 

4,287 
8,785 
1,003 
6.568 
612 

843 
2,675 
1.059 

186 
3,133 

1.203 

4.168 

1.706 

731 


821 
1,166 
4,050 
3,139 
3,672 

3,702 
758 

3,953 

10,260 

970 

17.354 

510 

1,742 

2,308 

2,373 

34,624 

7,760 

433 

16,053 
1,671 

846 

1,225 

88,562 

1,267 

1,312 

58,213 

192 

1,720 
546 

880 

36,904 

930 

5,128 

1,972 

347 
5,881 
3,331 
2,400 

952 

20,527 
4.318 

4.871 
1.895 

4,294 
8,902 
1,017 
6.610 
626 

847 
2.721 
1,062 

188 
3.165 

1.213 
4.199 
1.716 

737 


35 


96 

1 
103 


1 

4 
43 
13 
22 

39 
3 

20 

114 

7 

126 
5 

13 

12 

7 

241 

52 

I 

106 

3 

I 

6 

410 

4 

10 

452 


5 

393 

13 
17 
9 


66 
69 

132 

95 
9 

177 

646 

9 

493 

8 

15 

119 

44 

1,841 

192 

2 

1,016 

38 

15 
14 
3,452 
36 
89 

4,654 


61 

99 

362 

192 

110 

433 

125 

265 

1,466 

60 

1.554 

22 

77 

243 

119 

1.676 
633 

42 
1.268 

92 

67 
41 
5.154 
187 
180 

4.089 


11 

62 

4 

12 
944 

20 
252 

31 

13 

124 

163 

49 

18 

799 
107 
102 
111 
64 

85 
436 

40 
143 

7 

33 
177 
35 
3 
52 

65 

347 

47 

26 


22 

293 
133 

121 
3.017 
59 
166 
48 

14 

1.153 

237 

102 

16 

658 
365 
242 
250 
115 

179 
437 

71 
251 

12 

90 
610 
163 

16 
190 

129 

652 

104 

65 


304 
147 
1,010 
951 
899 

520 

147 

1,267 

2,303 

249 

5,128 
136 
571 
597 
510 

8,800 
1,739 

108 
4.147 

192 

155 
264 
17,370 
361 
278 

9,642 


32 
421 
117 

241 
6,434 

276 
1,080 

383 

112 
657 
657 
497 
191 

4,300 

809 

1,034 

1,022 

454 

991 
1,478 

264 
1,509 

183 

224 

456 

261 

82 

827 

366 

1,107 

513 

225 


359 

871 

2,270 

1,621 

1,880 

2,330 

442 

1,654 

4,657 

541 

7,857 
288 
950 
847 

1,530 

17,856 

4.689 

271 

7.468 

1.195 

564 
717 
43.590 
540 
515 

31.172 


121 
701 
233 

427 
22,259 

442 
3,210 
1,364 

194 
3,558 
1,940 
1,538 

667 

11,507 
2,543 
3.623 
3.161 
884 

2.819 
5,095 

579 
4,203 

385 

412 
1.230 

504 

69 

1.638 

372 

1,199 

938 

292 


77 

36 

281 

270 

617 

260 

22 

551 

963 

67 

1,778 

39 

83 

466 

154 

3,863 

414 

9 

1,891 
147 

38 

147 

18,155 

130 

234 

7,725 

3 

4 

216 

46 

66 

3,447 

106 

373 

127 

14 
336 
313 
180 

51 

3,045 
440 
416 
256 
351 

195 

1,269 

39 

412 

20 

78 

174 

89 

15 

389 

261 

827 

87 

123 


68 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1987 — Continued 


Cily  by  Slate 


Population 


Crime 
Index 
total 


Modined- 
Cntne 
Index 
total 


Murder 
and  non- 
negligent 

tnan- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


CALIFORNIA— Continued 

South  San  Francisco 

Stanton  

Stockton  

Suisun  City 

Sunnyvale 

Temple  City 

Thousand  Oaks 

Torrance 

Tracy 

Tulare 

Turlock 

Tustin 

Twin  Cities 

Ukiah 

Union  City 

Upland 

Vacaville 

Vallejo 

Ventura 

Victorville 

Visalia 

Walnut 

Walnut  Creek 

Watsonville 

West  Covina 

West  Hollywood 

Westminster 

Whittier 

Woodland 

Yorba  Linda 

Yuba  City 


COLORADO 

Arvada 

Aurora 

Boulder 

Brighton 

Broomfleld 


Canon  City 

Colorado  Springs.. 
Commerce  City .... 

Denver 

Durango 


Englewood 

Fort  Collins 

Fountain 

Golden 

Grand  Junction . 


Greeley 

Lafayette... 
Lakewood. 

Littleton 

Longmont. 


Loveland 

Northglenn  . 

Pueblo    

Sterling 

Thornton  .... 


52,853 

28.585 
188,067 

17,348 
114,964 

31,866 

98,714 
138,997 
26,934 
27,498 
34,818 

43,031 
20,065 
13,513 
52,012 
58,605 

56,298 
95,617 
87,856 
23,469 
63,106 

21,305 
60,132 
28,923 
99,339 
38,684 

75,081 
74,497 
35,259 
40,816 
22,105 


92,129 
219,945 
77,166 
14,670 
24,649 

13,843 
275,106 

17,284 
509,529 

13,429 

30,763 
74,805 
10,806 
14,761 
32,731 

57,431 
13,964 
123,236 
32.560 
51.114 

35.828 
29.744 
102.148 
11.472 
50.448 


2.162 

1,784 

18,844 

1,042 

3,977 

839 

3,171 
7,104 
1,721 
1,318 
2,619 

3,871 
845 
1,287 
2,683 
3,257 

2,326 
10,448 
4,687 
3,411 
5,093 

648 
2,794 
3,243 
5,487 
3,912 

4,393 
2,849 
2,543 
964 
2,794 


3,712 

18,020 

5,596 

898 

1,045 

635 
22,826 

1,850 
46,184 

1,114 

3,608 

5,019 

594 

792 

2,628 

5,106 
526 
9,311 
1,669 
3,463 

1.804 
2.315 
7.001 
620 
3.441 


2.215 

1.811 

18.932 

1.082 

4,015 

840 

3.198 
7.242 
1.728 
1.321 
2.680 

3.914 
849 
1,292 
2,706 
3,272 

2,338 
10,492 
4,733 
3,425 
5,112 

653 

2,809 
3,258 
5,558 
3,943 

4,407 
2,873 
2,560 
977 
2,803 


3,739 

18,112 

5,625 

910 

1,064 

639 

22,987 
1,861 

46,630 
1,115 

3,627 

5,064 

598 

795 

2,645 

5,209 
535 
9,379 
1.683 
3.481 

1.815 
2.332 
7.044 
622 
3.448 


107 

7 

23 

2 

21 
27 
4 
15 
15 

10 


16 
118 

13 
2 
3 

1 
167 

9 

401 

12 

12 
38 
3 
2 
9 

27 

27 

4 

26 

13 
9 

64 
3 

19 


39 

74 
806 
43 
82 
30 

52 
304 
18 
51 
49 

60 
13 
7 
91 
84 

38 

430 
145 
106 
139 

9 

33 

94 

218 

290 

192 
99 
53 
9 
23 


44 

524 

46 

7 

11 

1 
510 

31 
1.612 

7 

49 

41 
2 
2 

19 

40 

1 

163 

20 

17 

7 
25 
128 

2 
73 


102 

77 
875 
109 
132 

75 

237 
278 
64 
139 
116 

586 

12 

136 

143 

90 

119 
1,864 
212 
362 
262 

52 
140 
228 
241 
322 

11 

127 

215 

117 

471 


391 

2,038 

124 

45 

47 

4 

698 

69 

1,749 
23 

87 

282 

18 

19 

54 

266 
75 

379 
32 

156 

75 

67 

770 

8 

37 


372 

937 
4,689 
264 
665 
224 

834 
1,589 
334 
581 
641 

813 
189 
327 
729 
934 

375 
2,437 
1,129 

869 
1,278 

230 
563 
745 
1,150 
883 

1,107 
727 
720 
292 
415 


996 

3,998 
931 
137 
221 

150 

5,925 

363 

13,704 

150 

601 
856 
135 
158 
424 

1,013 
82 

2,070 
365 
658 

260 

394 

1,532 

93 

834 


1,434 

428 

11,022 

556 

2,725 

399 

1,803 
3,643 
1,193 
442 
1,688 

2,073 

583 

752 

1,497 

1,763 

1,608 
4,798 
2,836 
1,613 
3,039 

253 
1,858 
1,937 
2,697 
1,693 

2,237 
1,480 
1,384 
468 
1,713 


2,090 

10,100 

4,217 

655 

713 

469 

13,878 

1,255 

23,174 

896 

2,605 

3,646 

409 

572 

2,016 

3,612 
353 
6,099 
1,144 
2,480 

1.371 
1,684 
4,191 
490 
2.183 


199 

259 

1,312 

60 

345 
108 

222 

1,260 

108 

89 

109 

327 

48 

64 

206 

362 

160 
836 

337 
433 
319 

102 

181 

204 

1,147 

690 

711 
394 
147 
74 
165 


173 

1,222 

264 

32 

50 

10 

1,633 

117 

5,463 

26 

254 
154 
26 
38 
104 

144 
14 
568 
104 
126 

77 
135 
309 

24 
294 


69 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1987 — Continued 


City  by  Stale 


Population 


Cnme 
Index 

lolal 


ModiHed* 
Crime 
Index 

total 


Murder 
and  non- 
neghgenl 

man- 
slaughter 


Fcicible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


COLORADO— Continued 


Westminster 
Wheat  Ridge 


CONNECTICUT 


Ansonia 

Avon 

Berlin 
Bethel 
Bloomfield 

Branford 
Bridgeport 
Bristol 
Brookfield.. 
Cheshire  ... 


Clinton  .  .. 
Cromwell . 
Danbury 
Danen 
Derby 


East  Haven  Town. 

Enfield      

Fairfield      

Farmington 

Glastonbury 


Greenwich 

Groton 

Groton  Town . 

Guilford 

Hamden    


Hartford  

Madison  Town . 

Manchester 

Meriden     

Middletown 


Milford      

Monroe  

Naugatuck 

New  Britain  .. 
New  Canaan  . 


New  Haven... 

Newington 

New  London . 
New  Milford . 
Newtown 


North  Branford. 

North  Haven 

Norwalk 

Norwich  

Orange 


Plainfield 

Plainville 

Plymouth 

Ridgefield  Town.. 
Rocky  Hill 


Seymour 

Shelton    

Simsbury  

Southington  . 


67,389 
30,320 


19.113 
13.574 
16.213 
17,552 
19,777 

25,427 
142,852 
59.352 
14.420 
24.299 

12.829 
11.288 
64.981 
18.196 
12,124 

25.487 
43.180 
53,038 
17.955 
26.564 

58.678 
10,291 
40.008 
19.294 
52,051 

138,945 
15.800 
50,058 
58,728 
39,122 

49,594 
16,233 
30,723 
72,544 
17,784 

124,313 
29,273 
28,800 
21,872 
21,429 

12,678 
22,416 
77.760 
38.276 
13,121 

13,705 
17,512 
11.168 
21.811 
15.931 

13,675 
35,084 
22.345 
39,323 


4.676 
2.130 


487 
287 
371 
248 
1,182 

648 

13.221 

1.833 

254 

494 

275 
314 
2.827 
543 
413 

952 

1,873 

1,862 

952 

683 

2,046 
410 

1,344 
612 

2,522 

22,854 

325 

2,027 

2,428 

2,248 

2,205 
282 
621 

5.543 
332 

16,057 

949 

2,393 

552 

220 

177 

731 

5,555 

1.838 

924 

159 
611 
250 
222 
537 

274 

516 

339 

1,219 


4.703 
2.145 


493 
288 
371 
249 
1.186 

649 

13.290 

1.834 

254 

500 

280 
314 
2.829 
543 
414 

972 

1.899 

1.871 

952 

685 

2,052 
414 

1,346 
612 

2,527 

23,149 

326 

2,027 

2,467 


2,239 
287 
630 

5,552 


16,116 

950 

2,406 

554 

221 

177 

737 

5,574 

1,848 

924 

160 
612 
251 
223 
544 

274 

518 

342 

1,230 


2 
4 
21 
1 
7 

124 

1 

14 

11 

19 


133 

I 

12 

3 

I 


33 

3 
3 

27 

5 

983 

19 

2 
3 

5 
1 

47 
11 
5 

15 
40 
30 


66 

1.433 
5 

16 
53 
39 

57 

2 

5 

263 

1 

1,015 

10 

90 

4 


2 

12 

167 

47 
7 

2 

15 

1 

1 

12 

4 
5 
2 
16 


187 
98 


17 
9 
2 
6 

22 

9 

732 

121 

10 

4 

5 

3 

33 

3 

7 

21 
34 
12 
6 
24 

22 
15 
45 
44 
23 

1,380 

7 

25 

35 

82 

24 
8 

31 

231 

1 

1,020 

17 

77 

23 

6 

3 

10 
72 
78 
33 

5 
6 
6 

7 


1.040 
529 


118 
52 
84 
46 

260 

76 

3.760 

613 

59 

102 

85 

55 

582 

138 

107 

222 
318 
470 
152 
119 

214 
124 
226 
160 
493 

5,765 
106 
457 
736 
430 

414 

76 

142 

1.463 

93 

3,995 

196 

640 

151 

98 

52 

143 

1,388 

375 

71 

43 
165 
62 
61 

137 

71 

91 

76 

336 


3.060 
1.322 


268 
214 
244 
180 
731 

479 
5.499 
956 
154 
360 

170 
234 
1.885 
349 
252 

619 

1.274 

1.101 

706 

509 

1.623 
240 
974 
384 

1.648 

11,422 

197 

1,393 

1,370 

1,496 

1,277 
179 
385 

3,142 
223 

7,713 
692 

1,393 
312 
101 

113 

495 

3,252 

1,212 

733 

91 
382 
147 
144 
328 

139 

333 
216 
743 


324 
119 


49 

10 

36 

9 

136 

75 
2,152 
118 
28 
23 

10 
21 

262 
40 
40 

74 

206 

246 

80 

26 

177 
23 
64 
23 

283 

2,706 

9 

120 

220 

181 

422 
16 
57 

402 
14 

2,158 

33 

179 

59 

14 

7 

70 

661 

112 

80 

17 
42 
26 
8 
48 

30  . 
80 
24 
84 


70 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1987 — Continued 


City  by  Slale 


Population 


Cnmc 
Index 
tola] 


Modified* 
Crime 
Index 
tolal 


Murder 
and  non 
negligeni 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


CONNECTICUT— Continued 

South  Windsor     

Stamford 

Stonington 

Stratford 

SufTield 

Toriington 

Trumbull  

Vernon  

Wallingford 

Waterbury 

Waterford 

Watertown 

West  Hailford 

West  Haven   

Westporl 
Wethersfteld 

Willimantic 

Wilton 

Windsor 

Windsor  Loclcs 

Wolcott 


DELAWARE 


Dover 

Newark 


DISTRICT  OF  COLUMBIA 

Washington 


FLORIDA 


Altamonte  Springs 
Bartow 
Belle  Glade 
Boca  Raton 
Boynton  Beach 


Bradenton,,, 
Callaway 
Cape  Coral 
Casselberry 
Clearwater 


Cocoa   

Cocoa  Beach 
Coconut  Creek 
Cooper  City 
Coral  Gables    - 


Coral  Spnngs 

Dania 

Davie 

Daytona  Beach 
Deerfield  Beach 


De  Land 
Delray  Beach 
Dunedin 
Edgewater 
Eustis 

Fort  Lauderdale 


20,553 

101,787 
16,777 
50,722 
10,906 
31,307 

33,412 
28,820 
39,484 
103,015 
17,904 

19.787 
58,053 
53,653 
25,255 
26,091 

15,076 
16,082 
26,625 
11,953 
12.950 


23,065 
24,612 


622,000 


29,865 
16,559 
17,507 
60,255 
44,210 

38,567 
11,421 
51,707 
19,937 
100,428 

19,690 
12,790 
21,122 
16,292 
43,098 

62,263 
12,739 
38,606 
59,781 
45.322 

18,990 
45,672 
32,985 
11,977 
12,255 

153,051 


436 

7.095 
676 

2.479 
153 

1.069 

982 

958 

1,227 

7.723 

673 

475 
2.685 
2,337 
1,262 

720 

1,199 
185 
971 
388 
368 


2,337 
1,842 


52,519 


2,688 
2,038 
2,435 
3,326 
4,778 

4,759 
537 
2.362 
1.036 
8.511 

1.784 

1.132 

754 

634 

5,759 

2,238 
2,372 
2,585 
9,525 
2,815 

2.701 

5.502 

1.570 

561 

622 

22.012 


437 

7,141 
677 

2,507 
153 


984 

960 

1,230 

7.754 
677 

475 
2,694 
2,367 
1,262 

723 

1.206 
185 
971 
388 

372 


2.346 
1.855 


52.826 


2.692 
2.042 
2.482 
3.338 
4.798 

4.765 

2.365 
1,037 
8,538 


1,132 
758 
639 

5,774 

2,241 
2,376 
2,603 
9,546 
2,822 


5,517 
1,578 


225 


627 


22,084 


245 


14 
6 
9 

10 

24 

27 
3 
1 
3 

52 

6 
2 
8 

5 
4 

9 

17 

5 

75 

24 

9 
28 

2 
2 

5 

101 


307 

6 

44 

1 

9 

6 

10 

8 

245 


4,462 


90 
55 

100 
99 

220 

151 
9 
11 
15 

243 

116 
13 
4 
4 

201 

21 
151 

71 
384 
124 

93 

217 

21 

7 
28 

1,198 


30 

248 

2 

44 

4 

148 

9 
118 

7 

185 

15 

7 
25 
120 

7 
43 

32 


5,084 


84 
188 
301 

87 
514 

387 
18 
64 
34 

530 

159 
161 
24 
24 
122 

77 
115 
107 
749 
157 

155 
310 
83 
29 
60 

537 


110 

1,508 

146 

644 

41 

151 

94 

225 

254 

1,908 

103 

75 
549 
603 
263 
107 

336 
46 

238 
45 

108 


352 
287 


11,241 


591 
458 
522 
969 
1,257 

1,339 

61 

683 

303 

1,943 

528 
214 
187 
210 
1,009 

437 
564 
723 
2,812 
687 

746 

1.554 

443 

167 

99 

6.162 


253 

4.081 
479 

1,442 

95 

664 

741 
548 
820 
4,634 
501 

362 

1,762 

1,154 

869 

485 

748 
124 
589 
275 
230 


1.742 
1,345 


24,965 


1,759 
1,251 
1,386 
1,922 
2,414 

2.613 
430 

1,492 
617 

5,330 

892 
683 
468 
362 
3,721 

1.580 
1.171 
1.410 
4.959 
1.609 

1.620 

3.013 

961 

326 

401 

11.466 


39 

918 
43 

300 
10 

77 

128 

53 

132 

707 

45 

23 
266 
374 
112 

62 

58 
14 
95 
37 
18 


62 
100 


6.297 


146 
78 
114 
236 
346 

237 
15 

107 
64 

408 

83 
58 
61 
28 
699 

114 
350 
265 
533 
209 

76 
376 
59 
30 
29 

2.495 


71 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1987 — Continued 


Cily  by  Stale 


Population 


Crime 
Index 
total 


Modified* 
Crime 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


FLORIDA— Continued 

Fort  Myers 

Fort  Pierce 

Fort  Walton  Beach 

Gainesville 

Greenacres  City 

Gulfport 

Haines  City 

Hallandale 

Hialeah 

Holly  Hill 

Hollywood 

Homestead 

Jacksonville 

Jupiter 

Key  West 

Kissimmee 

Lakeland 

Lake  Worth 

Largo 

Lauderdale  Lakes 

Lauderhill 

Leesburg 

Lighthouse  Point 

Longwood 

Margate 

Melbourne 

Miami 

Miami  Beach 

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 

Orange  Park 

Orlando 

Ormond  Beach 

Palatka 

Palm  Bay 

Palm  Beach 

Palm  Beach  Gardens  

Palmetto 

Palm  Springs 

Panama  City 

Pembroke  Pines 

Pensacola 

Pinellas  Park 

Plantation 

Plant  City 

Pompano  Beach 

Port  Orange 


40.709 
37.990 
23,572 
87,709 

24,417 
11,863 
13,264 
37,856 
166,583 

11,359 
124,515 

22,944 
629,887 

22,646 

26,034 
26,621 
63,735 
28,196 
64,281 

28,258 
43,767 
14,397 
11,606 
12,965 

40,791 
58,432 
385.089 
97,833 
12.286 

38.052 
20.071 
14.016 
15,458 
11,709 

23,758 
43.922 
36.919 
12.595 
25.869 

46.465 
12,008 
14,984 
10,720 
150,250 

29,082 
10,731 
47,021 
11,493 
22,574 

10.082 
10.010 
36.692 
50.626 
65.723 

41.883 
57.546 
19.608 
68.730 
30.483 


5,589 
7,470 
1,847 
9,575 

959 

903 

1,135 

3,153 

15.478 

1.265 
13.188 

3.933 
74.227 

1.367 

3.446 
3.050 
7.039 
3.573 
3,813 

1.596 

2.873 

1.515 

415 

964 

1.524 

6.076 

58,791 

13,753 

1,425 

1.515 
1,600 
1,049 
1,369 
264 

1,100 
5,143 
4,345 
703 
4,180 

6.758 
556 

2.914 

731 

18.884 

1.658 
1.556 
2.747 
695 
1.313 

1,367 
396 
3.275 
2.802 
4,876 

3,358 
5.171 
2,823 
11,648 
938 


5,596 
7.483 
1.851 
9.593 

959 

904 

1,136 

3,156 

15,540 

1.265 
13.239 

3,949 
74,718 

1,371 

3,449 
3,058 
7,057 
3,577 
3,830 

1.598 

2.882 

1.524 

415 

968 

1,529 

6,086 

58,981 

13.781 
1,427 

1,523 
1,603 
1,054 
1,370 
266 

1,101 
5,154 
4,350 
703 
4,192 

6,780 
560 

2,926 

731 

19,004 


1.560 

2.765 

695 

1.316 

1.367 
397 

2.817 
4.881 

3.370 
5.178 
2.827 
11.671 
938 


1 
5 
12 

1 

7 

5 

147 


1 

3 

128 

15 

2 


25 
39 
13 
60 

5 

1 

5 

20 

30 

3 

38 

24 

609 

I 

21 
24 
42 
22 
17 

17 

13 

20 

1 

2 

15 

22 

202 

35 

1 

6 
5 
2 
1 
1 

10 
12 
9 
3 
16 

46 

6 

6 

3 

181 


277 

334 

28 

299 

18 

37 

36 

276 

771 

31 

559 

204 

3,876 

14 

104 

71 

248 

104 

57 


151 

55 

8 

19 

49 

137 

5,594 

725 

52 

105 

29 

2 

32 

1 

19 
351 
289 

14 
192 

207 

9 

142 

23 

1,029 

38 

64 

28 

6 

24 

31 
2 
79 
49 
109 

41 

124 

122 

676 

9 


325 
832 
109 
895 

23 

53 

66 

256 

806 

53 

496 

218 

4,945 

37 

139 
366 
401 
231 
311 

76 
151 

82 

2 

124 

66 

509 

5,385 

372 

49 

80 
61 
59 
39 
4 

54 
173 
230 

20 
156 

367 

32 

505 

18 

2,174 

76 
120 
121 
10 
62 

154 

14 

99 

148 

392 

106 

325 

237 

1,209 

34 


1,373 

1,987 

448 

2,888 

239 
198 
392 
605 
3,174 

357 

3.052 

1.163 

20.745 

321 

979 

728 

2.185 

1,116 

932 

368 

605 

376 

86 

227 

370 

1.247 

11,875 

3,219 

337 

591 
319 
214 
295 
94 

294 
1.368 
857 
275 
752 

1.928 
124 
621 
171 

4,515 

317 
394 
761 
102 
230 

251 

54 

694 

754 

1.134 

683 
868 
808 
2.964 
165 


3,195 
3,893 
1,180 
5,032 

585 

565 

567 

1,673 

7,842 

766 

7,915 

1,796 

38,820 

886 

1,986 
1,720 
3,840 
1,772 
2,382 

860 
1,691 
920 
286 
556 

920 

3,965 

27,548 

7,771 

806 

554 
1,125 
716 
947 
146 

677 
2,500 
2,466 

337 
2.649 

3.937 
350 

1.328 
487 

9.853 

1.154 
933 

1,723 
550 
917 

869 

283 

2,246 

1,627 

3,021 

2,364 
3,358 
1,531 
5.694 
696 


379 

368 

67 

393 

89 

49 

68 

318 

2,843 

54 
1,121 

523 
5,085 

108 

215 
140 
313 
324 
113 

186 
261 
61 
32 
36 

103 

193 

8,059 

1,616 

178 

179 
57 
55 
53 
18 

45 
734 
490 

53 
415 

260 

35 

304 

29 

1,105 

64 

41 
91 
22 

72 

53 

40 

115 

211 

181 

160 

488 

108 

1.017 

33 


72 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1987 — Continued 


Cily  by  State 


Population 


Crime 
Index 
total 


Modified* 
Cnme 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


FLORIDA— ConHnued 

Port  Saint  Lucie 

Punta  Gorda 

Riviera  Beach 

Rockledge  

Safely  Harbor  

Saint  Augustine 

Saint  Cloud 

Satnt  Petersburg 

Sanford 

Sarasota  

Satellite  Beach 

Sebring 

South  Daytona 

South  Miami 

Stuart 

Sunrise 

Sweetwater 

Tallahassee 

Tatnarac 

Tampa 

Tarpon  Springs 

Temple  Terrace 

Titusville 

Venice 

Vero  Beach 

West  Palm  Beach 

Wilton  Manors 

Winter  Haven 

Winter  Park 

Winter  Springs 


GEORGIA 

Albany 

Americas 

Athens 

Atlanta 

Augusta 

Bainbridge 

Carrolllon 

Columbus 

Cordele 

Covington 

Decatur 

Douglas  

Dublin  

East  Point 

Fitzgerald 

Forest  Park 

Gainesville 

Hinesville 

Macon  

Marietta 

Milledgeville 

Moultrie 

Rome 

Savannah  

Snellville 


36,353 
10,000 
28,608 
14,613 
12,914 

12,626 
11.441 
246,548 
30,462 
53.036 

10,144 
10,741 
12.358 
10.875 
11.112 

54.313 
10,041 

123,012 
35,621 

285,856 

16,426 
12,811 
43.201 
15.499 
18.248 

70,614 

12,71 

24.499 

24,036 

19,237 


86,588 
16.421 
43.931 
429.953 
46.316 

11.110 
19,122 
183,654 
11,385 
12,914 

18,826 
12.537 
16.889 
38.315 
11,151 

18,612 
16,614 
16,798 
120,703 
43,635 

14,117 
15.707 
31.506 
149.631 
12,761 


1,314 

462 

5.627 

1.117 

596 

1,383 

671 

26,500 

3,331 

5.816 

361 

794 

623 

1,274 

1,481 

2.290 

427 

14.261 

1.591 
49.350 

1,511 
936 

2,539 
653 

1,716 

15,007 

897 

2.954 

2.005 

409 


7.737 

895 

2.434 

66.891 

3.430 

596 
1.559 
9,465 
1,362 
1,046 

1,681 

988 

1,199 

4,196 

548 

1.987 
1,555 
1,450 
9,906 
5,015 

1,062 

1,233 

2,254 

11,704 

533 


1,320 

462 

5,640 

1,119 

597 

1.387 

674 

26,631 

3,341 

5,834 

361 

798 

625 

1,275 

1,482 

2.300 

428 

14,287 

1,597 
49,578 

1,515 
937 

2.550 
655 

1.716 

15,032 

898 

2,960 

2,008 

409 


67.171 
3.442 


602 
9.502 


549 

1.560 
9,937 


11,766 


7 
207 


12 
2 

61 
6 
2 

7 

4 

157 

36 

67 

2 
1 
5 
3 
5 


96 

5 

297 

14 
1 

15 
3 
5 

63 

24 

7 
2 


85 
10 
26 
636 
26 

4 
9 
71 
II 
9 

19 
12 
II 
34 
3 

6 
3 

14 
63 
40 


2 

14 

257 

22 

7 

61 

6 

1.567 

131 

238 

2 
17 
22 
71 
25 

47 

15 

429 

41 

3.427 

33 
29 
65 
8 
22 

1,015 

40 

101 

59 

1 


447 

15 

122 

5,100 

182 

15 

27 
296 

37 
19 

68 
29 
31 
159 
20 

96 

35 

18 

203 

156 

12 

61 

42 

603 

4 


13 
11 
500 
17 
35 

65 

1 

1,977 

245 

274 

10 
61 
24 
87 
132 

HI 

15 

982 

28 

5,114 

89 

1 
144 

66 
200 

796 

14 

143 

134 

54 


596 

72 

213 

6,950 

108 

63 
97 
313 
150 
66 

64 
76 
124 
287 
31 

66 

32 

68 

345 

211 


354 
9 


418 

73 

2,101 

230 

191 

297 
217 

7,526 
937 

1,540 

69 
179 
162 
346 
368 

532 

114 

3.608 

444 

13.245 

496 
189 
760 
90 
384 

4,794 
210 
723 
383 
112 


2,562 

220 

881 

14,927 

1.194 

142 
372 
2.354 
340 
169 

491 
184 
258 
1,130 
129 

435 

281 

288 

2,195 

1.069 

286 

406 

705 

3,363 

84 


832 
330 
2,169 
814 
343 

907 

393 

14,124 

1,829 

3,424 

271 
509 
376 
631 
901 

1.445 

205 

8.352 

1.006 

24.261 

817 
670 

1.403 
469 

1.038 

6,292 

564 

1.842 

1.342 

216 


3.649 

552 

1.068 

31,559 

1,714 

349 
966 
5,888 
776 
744 

815 
630 
727 
1,998 
349 

1,173 
1,113 
991 
6.453 
3.016 

649 

637 

1.281 

6.898 

412 


36 
32 
532 
28 
18 

46 

33 

1,121 

148 

265 

7 
25 
33 
134 
50 

131 

77 

786 

67 

2.945 

61 

29 

151 

16 

67 

2.014 
67 
119 
78 
23 


380 

26 

117 

7.512 

198 

22 
86 
524 
45 
36 

223 
55 

45 

586 

16 

208 

89 

70 

633 

521 

33 
47 
124 
403 
21 


73 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,   1987 — Continued 


City  by  Stale 


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 


GEORGIA— Continued 


Thomasville 
Warner  Robitis  . 


HAWAII 


Hilo 

Honolulu  . 


IDAHO 

Blackfoot 

Boise 

Caldwell 

Chubbuck ^ 

Coeur  D'Alene 

Idaho  Falls 

Lewtston 

Moscow  

Nampa   

Pocatello 

Rexburg  

Twin  Falls   . 


ILLINOIS' 

Addison 

Alsip 

Alton 

Arlington  Heights 

Aurora    

Barhngton 

Bartlelt 

Batavia 

Belleville 

Bellwood 

Belvidere 

Bensenville 

Berwyn  

Bloomingdale 

Blootnington  

Blue  Island 

Bolingbrook  

Bourbonnais  

Bradley 

Bridgeview 

Brookfield 

Buffalo  Grove 

Burbank 

Cahokia 

Calumet  City 

Canton 

Carbondale 
Carol  Stream 
Carpentersville 
Centralia 

Centreville         


18.867 
46.500 


38,836 
832,614 


10,035 
107.903 
18.487 
11, %6 
24,579 

42.638 
27.606 
17.710 
28.123 
44.221 

12.185 
27.625 


30.790 
18.263 
33.056 
70,385 
85,600 

10,250 
15,947 
13.881 
42.965 
21.794 

15.596 
15.987 
45.142 
13.640 
46.385 

22.807 
37.680 
13.459 
11,012 
14,613 

19,076 
27,129 
28,614 
18,334 
39,937 

12,486 
24,241 
22,094 
25,033 
14,371 

10,160 


1,527 
3.458 


2.269 
48.949 


338 
7,446 
1,480 

480 
1,991 

2,583 

1.379 

841 

2.415 

2.572 

656 
2.015 


3.465 


2,275 
49.371 


338 
7.499 
1,480 

480 
1,998 

2,591 
1.388 
842 
2.428 
2.576 

656 

2.024 


15 
322 


17 
985 


28 
12 
83 
15 

174 


64 
172 


37 
915 


12 

333 

58 

2 

69 

47 
34 
17 
52 
69 

4 
56 


36 
24 
175 
43 

325 


28 
12 
73 
51 

22 
25 
21 
9 
169 

41 

52 

9 

20 

23 


404 
965 


477 
9.136 


100 

2.016 

318 

24 

356 

519 
330 
122 
386 
412 

39 
366 


331 
178 
631 
436 
1.617 

47 
122 

89 
442 
266 

115 
169 
319 
114 
668 

206 
309 
88 
160 
133 

89 
104 
215 
204 
374 

114 

290 
167 

229 
226 

107 


971 
2.009 


1.625 
34,239 


204 
4,671 
1,028 

449 
1,483 

1.879 
937 
660 

l,i 

2,005 

603 
1,500 


1,11 

454 
1,789 
1,648 
3,627 

324 
475 
337 
972 
541 

663 
751 
844 
888 
2,245 

514 
489 
362 
500 
546 

263 
582 
851 
749 
1,673 

262 
1,115 
737 
896 
650 

31 


34 
194 


93 
3,316 


18 

314 

54 

5 

54 

113 
69 
33 
86 
61 

7 
76 


82 
179 

99 
135 
266 

7 

18 

12 

71 

190 

21 
71 

292 
72 

107 

224 

104 

18 

30 

79 

32 
18 
83 
25 
732 

12 
36 
40 
31 
30 


See  footnote  at  end  of  table. 


74 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns   10,000  and  over  in  Population,   1987 — 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 


ILLINOIS'  —Continued 


Ihampaign 

-harleston 

Chicago 

Chicago  Heights 


'hicago  Ridge 

ricero 

^ollinsville 

Zounlry  Club  Hills. 
Trestwood 


^i^stal  Lake 

Danville 

>arien 

Secatur 
Seerfield 

3e  Kalb 
i)es  Plaines 
')ixon 

Oolton 

i)owners  Grove   . 

ast  Moline 
-ast  Peoria 
^t  Saint  Louis 
tdwardsville 
tffingham 


Igin 

Ik  Grove  Village.. 

.Imhurst 

.Imwood  Park 
.vanston 

tvergreen  Park 
'airview  Heights 
orest  Park 

'ranklin  Park 

■'reeport    


Jalesburg 

Jeneva 

fietidale  Heights  . 

lien  Ellyn 

'jlenview 

jlenwood 
jranite  City 
lanover  Park 

larrishurg 
larvcy 

Hazel  Crest 

fierrin 

Hickory  Hills 
Highland  Park 
'iinsdale 


ioffman  Estates 

■lomewood 
!  acksonville 
jroliet 
fustice 

Kankakee 
iCewanee 
-a  Grange  


59,353 

18,915 

3,018.338 

35.644 

14,242 
61,780 
20,710 
15,485 
11,865 

20.520 
36,767 
16,438 
90.624 
1 7,070 

31.662 
56.334 
14.522 
23,980 
42,524 

20,821 
21,362 
49.615 
13.138 
11.393 

72.311 
32,314 
42.534 
23.288 
71.779 

21.071 
11.915 
15.335 
18.193 
25.906 

31,923 
10,922 
24.963 
24.822 
34.601 

10.430 
35.253 
31,392 
10.691 
35.474 

13,820 
10.531 
14.302 
30.670 
16.107 

41.611 
19,026 
19.848 
76,232 
10.902 

27.300 
13.188 
15.315 


691 

5 


203 

1 

29.879 

77 

2 
99 
8 
2 
1 

4 
102 

2 
172 

1 

10 
14 

25 
11 

10 

2 

522 

3 


97 
11 
18 

15 
143 

20 
10 
79 
13 

23 

21 
2 
3 
4 
4 

1 

15 

16 

6 

266 


4 
5 
5 
3 

12 
7 
6 
258 
4 

164 
2 
10 


421 

8 

34.194 

218 

6 

789 

26 

19 

4 

10 

210 

4 

363 

1 

22 
58 
2 
1 
30 

32 
15 
1,396 
1 
15 

189 

33 

23 

4 

185 

5 

12 
33 
48 
131 

47 
4 
18 
13 
17 

5 

69 

54 

18 

118 

31 
25 
12 


36 
12 
36 
549 
16 

407 
17 
14 


1,175 

106 

51,005 

384 

132 

1.11 

279 

128 

6 

42 

563 

81 

1.714 

19 

194 

375 

92 

227 

352 

199 
157 
1.701 
85 
115 

1.390 

238 

193 

69 

1.469 

99 

98 

144 

171 

225 

355 
88 
93 
177 
119 

64 

488 

262 

146 

1.694 

145 
90 
33 
93 


277 

61 

346 

1.746 

86 

915 
109 
105 


3.468 

244 

119.072 

1.067 

604 
803 
743 
292 
149 

587 
2.000 

181 
4.731 

396 

1,153 

1.321 
426 
907 

1,185 

555 
421 
1,018 
376 
446 

2.484 
809 
828 
212 

3.424 

1.009 
889 
773 
753 

1.062 

1.289 
219 
572 
493 
565 

242 

1.262 

820 

339 

1,950 

360 
256 

245 
667 
225 

989 
698 

875 

4.533 

260 

1.892 
483 
329 


264 

7 

39.693 

160 

112 
600 
76 
47 
57 

15 

84 

27 

171 

7 

56 

137 

13 

158 

103 

24 
14 
605 
15 
25 

192 

92 

87 

180 

252 

166 
54 

201 
81 
31 

27 
7 
39 
45 
28 

57 
76 
43 
18 
975 

94 
15 
29 

42 
13 

67 
85 
21 
504 
66 

241 
19 

27 


See  footnote  at  end  of  table. 


I 


75 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1987 — Continued 


Cily  by  Slalt 


Population 


Cnme 
Index 
lolal 


Modified* 
Cnme 
Index 
(otal 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


ILLINOIS'— Continued 


La  Grange  Park 
Lake  Forest 


Lake  Zurich .. 

Lansing 

Libertyville  .. 

Lincoln 

Lincolnwood. 


Lisle 

Lombard 
Loves  Park 

Macomb     ... 
Marion 


Markham 

Matteson 

Mattoon 

Maywotxi 

McHenr> 


Melrose  Park 

Midlothian 

Moline 

Monmouth 

Morton 


Morton  Grove 
Mount  Prospect 
Mount  Vernon  ... 

Mundelein   

Murphysboro 


Naperville... 

Niles 

Normal 

Norridge 

Northbrook  . 


North  Chicago 

Northlake 

Oak  Forest 

Oak  Lawn 

Oak  Park   


O'Fallon  

Orland  Park... 

Ottawa 

Palatine 

Palos  Heights 


Palos  Hills  .. 
Park  Forest . 
Park  Ridge.. 

Pekin 

Peoria 


Peru 

Pontiac     

Prospect  Heights. 

Quincy  

Rantoul   


Richton  Park  - 

Riverdale    

River  Forest... 
River  Grove ... 
Rock  Falls 


12,777 
16,247 

10,511 
28,995 
17,451 
15,325 
11.985 

16,117 
38,001 
14,292 
18,183 
14,492 

15,345 
12,015 
19.206 
27,350 
13,590 

20,981 
14,482 
44,630 
10,039 
13.469 

23.719 
54.790 
17,521 
17,962 
10,049 

61.439 
29.566 
36.898 
15,666 
32,013 

43,316 
12,326 
25,093 
58,410 
54,479 

14,713 
29,336 
17,942 
39,626 
10,631 

17,020 
25,966 
37,530 
31,372 
110,613 

10,330 
11,092 
13,540 
39,716 
20,751 

10,290 
12.547 
11.734 
10,210 
10,671 


1 
II 
6 
4 
9 

2 
17 
13 
4 
9 

35 

7 

7 

217 

3 

48 

10 

17 

5 

1 

7 
15 
14 
3 
4 

5 
11 
9 
9 

2 

77 
3 

12 

24 

331 

10 
8 
2 

11 


2 
12 

9 

II 

182 


6 
1 

14 
16 
21 
13 
U 

12 
29 
23 
12 
24 

49 

13 

7 

260 

14 

30 
15 
78 
15 
9 

16 
39 
1 

17 

37 

32 
10 
37 
19 
2 

96 
8 
19 
36 
83 

13 
10 
13 
16 


5 
28 
1 

66 
972 

II 
7 
16 
83 
26 

5 
24 

5 

16 
10 


56 
14 

51 
247 

52 
152 

57 

104 
325 
256 
131 
216 

506 
79 
92 

701 
36 

91 
143 
395 
152 

53 

104 

262 

332 

93 

66 

350 
62 

363 
97 

109 

297 
91 
139 
125 
996 

120 
95 
85 

183 
28 

58 

178 

261 

277 

2,402 

40 

68 

152 

693 

110 

69 
213 
90 
66 
78 


108 
175 

304 
1,035 
471 
551 
326 

452 
1,514 
776 
467 
474 

229 
902 
181 
1,142 
388 

877 
470 
1,497 
447 
205 

546 
1,237 
777 
659 
389 

1,669 
601 

1,062 
623 
676 

1,194 

229 

606 

1,077 

2.295 

281 
947 
477 
889 
160 

204 
782 
631 
942 
5,949 

290 
356 
368 
1.867 
434 

261 
307 
244 
309 
179 


14 
7 

13 
224 
22 
29 
46 

20 

187 
37 
17 
44 

72 
133 

50 
342 

12 

301 

113 

47 

12 

7 


93 

56 

105 

232 

411 

19 
179 
II 
49 
12 

44 
71 
68 
42 
258 

15 
9 
67 
58 
13 

33 
145 
52 
74 
10 


69 

124 

34 

44 

17 

75 

11 

116 

39 
P3 

57 

4 

See  footnote  at  end  of  table. 


76 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1987 — Continued 


City  by  Slate 


Populalion 


Cntne 
Index 
total 


Modified* 
Cnme 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


ILLINOIS'  —Continued 


Rock  Island 

Rolling  Meadows  ... 

Romeoville 

Roselle 

Round  Lake  Beach. 


Saint  Charles.. 
;auk  Village... 
Schaumburg.... 
Schiller  Park .. 
Skokie 


South  Holland 

Springfield 

Sterling 

Streamwood 


streator 


^ummitt 

Taylorville 

rinley  Park ... 

Urbana  

Vernon  Hills  . 


Villa  Park 

kVaukegan 

Westchester 

\Vest  Chicago 

Western  Springs . 


Westmont 
Wheaton    . 
Wheeling 
Wilmetle  .. 
Winnetka.. 


(Vood  Dale.. 
(Voodrtdge... 
Woodstock... 

Worth 

lion 


INDIANA 

•Anderson     

Bedford     

3lootnington 

Carmel 

Clarksville 

Connersvtlle 

Crawfordsville 

Crown  Point 

Elkhart 

Elwood 

Evansville 

Frankfort 

Gary 

Goshen 

Greenfield 

Greenwood 

Gnffith 

Hatntnond 

Highland 


See  footnote  at  end  of  table. 


43,848 
21,894 
15,224 
19,728 
13,951 

18,474 
10,892 
60,297 
11,363 
59,604 

23,549 
100,584 
15,616 
24,491 
13,930 

10,360 
12,807 
28,473 
35,875 
12,537 

21,874 
74,698 
17,331 
14.272 
12,517 

20,510 
47,749 
26,497 
26,979 
12,406 

11,353 
25,264 
12,537 
11,865 
19,166 


61,324 
13,808 
52,761 
20,924 
14,552 

16,552 
13,678 
16,572 
44,400 
10,080 

130,125 
15,195 

137,471 
21,476 
11,738 

22,994 
16,190 
86,810 
24,280 


3,958 
600 

2,559 
829 

1.338 

878 
730 
364 
3,469 
555 

6,597 

978 

8,405 

1,149 

629 

1,016 

819 

6.108 

1,082 


4.011 
603 

832 
1,346 

880 
731 
365 
3,487 
557 

6.666 

979 

8.992 

1.150 

630 

1,018 

6,190 
1,085 


5 
31 
20 
31 

9 
247 
6 
4 
2 

15 
3 
6 

58 
4 

31 

174 

5 

5 


6 

1 

55 

1 

124 
12 

577 
3 
6 

12 

10 

272 

13 


208 
24 
30 
12 
13 

12 
17 
48 
14 
64 

7 

572 

23 

25 

6 

20 
7 

43 

121 

6 

20 

178 

12 

17 

3 

20 

12 
17 
8 
3 

10 

34 

7 

9 

366 


84 

5 

278 

15 

34 

37 
69 
10 
24 
21 

475 

47 

652 

3 


11 

43 

626 

22 


309 
212 
173 
77 
104 

121 
176 

575 
227 
378 

206 

2.048 

185 

235 

96 

101 

43 

112 

441 

51 

200 

640 

91 

127 
49 

129 
182 
152 
200 
71 

113 

270 

47 

83 

264 


751 
73 
478 
154 
159 

170 

88 

67 

670 

144 

1,538 
131 

2,620 
148 
79 

127 

65 

1,353 

91 


1,887 
726 
519 
276 
524 

769 
420 

2,144 
563 

1,853 

479 
5,556 
515 
642 
152 

223 

92 

741 

1,057 

494 

992 
3.090 
255 
513 
116 

431 
741 
774 
525 
240 

259 
622 
291 
228 
929 


2,741 
461 

1,568 
624 

1,043 

640 
552 
266 

2,492 
372 

4,132 
736 

2,518 
930 
513 

804 

603 

2,826 

742 


75 
35 
28 
18 
17 

16 

47 
305 

81 
275 

105 

230 

7 

32 

14 

73 

4 

111 

107 

19 

102 

202 

43 

30 

4 

45 

32 
51 
26 
11 

20 
93 
12 
30 

47 


277 
53 

209 
34 
86 

24 
15 
19 
196 
16 

292 

50 

1,929 

58 

26 

61 

94 

984 

211 


77 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1987 — Continued 


City  by  State 

Population 

Cnme 
Index 
total 

Modified- 
Cnme 
Index 
total 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
theft 

Motor 
vehicle 
theft 

Arson* 

INDIANA— Continued 
Hobart        

22.250 

16.894 
478,693 
21,436 
45,837 
44,460 

21.828 
26.612 
11.869 
17.356 
35.988 

11,979 
26,662 
35,777 
41,606 
72,961 

20,110 
18,461 
15,235 
10,402 
28,561 

39,224 
14,381 
15,426 
107,724 
12,572 

58,208 
22,391 
12,030 
11,115 
21,215 

16,631 
27,765 
12,118 
27,835 
33,004 

107,731 
29,903 
56.565 
98,168 

190,928 

59,348 
26,910 
12,287 
11,601 
50,192 

20,449 
25,916 
30,022 
23,441 
14,713 

10.736 
25,141 
79,121 
10.905 
19.644 

881 

626 

30.358 

1.047 

1.998 

2.424 

1.024 

696 

576 

1.046 

1.892 

321 

994 

2.006 

3.371 

3,656 

851 

1,056 

631 

337 

1,178 

1,848 

475 

676 

12.031 

587 

3.466 

1.176 

206 

439 

855 

766 
1.096 

405 
2.133 
1,087 

9,134 
2.341 
4.498 
6.757 
19.557 

2.956 

2.595 

543 

438 

2.705 

658 

1.266 

2.307 

999 

746 

599 

1.102 

7.167 

444 

997 

889 

629 

30.588 

1.058 

2.027 

2.435 

1.024 

697 

576 

1.046 

1.892 

1.000 
2.016 
3,403 
3,699 

851 

1,072 

641 

337 

1,192 

1,864 

475 

686 

12.095 

587 

3.536 

1.181 

206 

439 

859 

768 
1.100 

410 
2,136 
1,089 

9,184 
2.344 
4.524 
6.829 
19.765 

3,014 

2.600 

544 

441 

2.759 

658 
1.274 
2.317 
1.006 

747 

602 
1.113 

7.237 
444 
999 

1 

57 
1 
3 
I 

1 

2 

432 
10 
14 
4 

4 
7 
2 
1 

1 

4 
2 

19 
20 
23 

4 

2 

6 

4 

1 

11 

110 

3 

26 
5 

1 

14 

3 

1.334 

30 

41 

23 

5 

21 

3 

1 

34 

3 
35 
41 
42 
87 

6 
10 
6 
4 
12 

37 

3 

8 

336 

18 

37 
4 

5 

3 

2 

5 

6 
4 

102 

5 

78 

129 

337 

17 
15 

1 

19 

4 
6 
11 
1 
1 

2 
10 
82 
5 
6 

37 

14 

2.720 

9 

9 

29 

16 

25 

88 
59 

9 
40 
37 
177 
65 

29 
37 
49 
39 
12 

9 

7 
15 

253 
27 

195 
55 
4 

146 

152 
8.744 
297 
442 
541 

113 
199 
95 
117 
396 

36 
125 
560 
620 
937 

65 

208 

93 

52 

226 

320 

82 

116 

3.598 

76 

1.045 

206 

41 

26 

137 

76 
220 

34 
419 
233 

1.802 

529 

1.083 

1.628 

3.772 

550 

630 

96 

105 

377 

120 
340 
381 
166 

122 

110 

250 

1.885 

52 

230 

592 

437 
13.336 

615 
1,367 
1,724 

839 
340 
455 
813 
1,309 

258 

607 

1.179 

2.293 

2.265 

691 
760 
462 
231 
833 

1.394 
302 
479 

7.251 
414 

1.902 
861 
131 
388 
655 

637 
817 
354 
1.481 
802 

6.791 
1.721 
2.903 
4.109 
13,895 

2,048 

1,702 

408 

305 

2.007 

500 
781 
1.685 
761 
601 

440 
750 
4.485 
375 
666 

89 
20 

3,735 
85 
122 
102 

46 
104 
21 
26 
92 

10 
184 
166 

217 
271 

60 
36 
19 
11 
89 

83 
80 
47 
472 
48 

259 
45 
24 
24 
37 

30 
18 
8 
50 
35 

352 

78 

259 

187 

772 

122 
99 
19 
10 
92 

27 
26 
67 
62 
17 

7 

54 

299 

31 

8 

3 

230 

Jefferson  ville 

Kokomo 

Lafayette 

La  Porte 

U 
29 
11 

1 

1 

1 
1 

4 
2 
8 

1 

1 

11 

1 

2 

Merrillville 

6 

10 

32 

43 

16 

Noblesville                     

10 

Plainfield 

Portage 

Richmond 

14 
16 

10 

64 

70 

5 

Wabash           

West  Lafavette 

4 

1 
1 
3 
5 
1 

8 

1 

19 

59 

64 

2 

2 

1 
26 

2 
2 
2 
3 

19 

20 

34 

6 

172 

12 

76 

7 

156 

641 

703 

215 

147 

19 

17 

184 

5 
109 
161 

5 

5 

38 
35 
391 
12 
61 

4 

IOWA 

1 

3 

4 
14 

2 

2 
1 

1 
4 

2 

Bettendorf       .   .  .. 

4 

5 

3 

Cedar  Falls  

2 

50 

Clinton             

3 

Council  Blurts 

26 

72 

Des  Moines 

Dubuque     

208 
58 

Fort  Dodge                                           

5 

Fort  Madison  

1 

3 

Iowa  City                                           ..   . 

54 

Marshalltown 

8 

10 

7 

1 

2 

2 

21 

3 

3 

Ottumwa        

11 

70 

Spencer       

Urbandale 

2 

78 


V' Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1987 — Continued 

i 


Cily  by  Slale 


Population 


Cnme 
Index 
total 


Modified' 
Cnme 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


IOWA— Continued 


Waterloo       

West  Des  Moines.. 


KANSAS 


Arkansas  City  . 

Atchison 

Chanute 

CofTeyville 

Derby 


El  Dorado,,,. 

Emporia 

Garden  City , 
Great  Bend  .. 
Hays 


Hutchinson 

Independence.. 
Junction  City  . 
Kansas  City  ... 
Lawrence 


Leavenworth. 

Leawood     

Liberal  

Manhattan 

McPherson  ... 


Mernam 

Newton 

Olalhe 

Parsons 

Pittsburg, 


Prairie  Village , 

Salina 

Shawnee 

Topeka 

Wichita 


Winfield 


KENTUCKY 

Ashland     

Bowltng  Green 

Danville     

Elizabethtown 

Erlanger 

Florence 

Fort  Thomas 

Frankfort 

Georgetown 

Glasgow   ' 

Henderson 

Hopkinsville 

JefTersontown 

Lexington   

Louisville  

Madisonviile 

Middlesboro 

Murray 

Newport 

Nicholasville 


69.597 
23.650 


13,072 
11.472 
10,255 
14,059 
13,022 

11,060 
24,766 
22,914 
17,500 
17.923 

41,763 
10,436 
20,419 
163,098 
56,848 

36,460 
16,172 
16,665 
33,964 
12,267 

12,096 
16,484 
52.511 
12,781 
18,426 

23,971 
43,102 
30,432 
119,331 
290,702 

11,724 


26,064 
41,. 307 
13,162 
16,393 
14,542 
17,753 

15,673 
26,924 
12,362 
12,362 
25,564 

29,105 

19,703 

212,934 

286.516 

16.670 

11.902 
13,102 
19,783 
14,012 


4,240 
1,832 


766 
553 
345 
881 
353 

512 

1,465 

2,007 

926 

780 

3,006 

684 

1,994 

16,672 

3,978 

1.651 

521 

1,772 

1,676 

300 

836 
709 

2,698 
608 

1,374 

498 

2,235 

1,444 

10,941 

24,843 


432 


1,023 

2,907 

474 

778 

555 

1,085 

152 

1,338 

401 

109 

1,425 

1,497 

559 

14,056 

19,438 

1,183 

630 

427 

1,262 

414 


4,265 
1,833 


769 
560 
348 
886 
362 

512 

1.480 

2.033 

929 

781 

3,013 
691 
2.006 
16,866 
3,997 

1,667 

527 

1,781 

1,679 

302 

841 
716 

2.718 
610 

1,390 

499 

1,462 
10,985 


433 


1,026 
2,909 

779 

555 

1,087 

154 

1,347 

402 

109 

1,428 

1,499 

559 

14.130 

19,698 

1,198 

634 

429 

1,268 

415 


1 
2 
5 

6 

2 

2 

12 

10 

5 

1 

22 

1 

14 

160 

14 

9 
2 
3 
2 
4 

1 

2 

24 

1 


2 

10 

6 

71 

240 

3 


1 
10 

2 
6 

15 

1 

104 

92 

5 

1 

2 
16 


26 
2 
2 

26 

2 

27 

680 

34 

32 
3 
2 

11 
! 

10 
3 

27 
2 
2 

12 
9 

21 
261 
591 


40 

5 

8 

4 

25 

2 
23 
4 
2 
5 

39 

12 

373 

1,541 

10 

3 

5 

28 


224 
5 


43 
24 
7 
44 
13 

10 
67 
134 
69 
10 

180 

29 

162 

1,506 

204 

108 
1 

27 

70 

9 

47 
31 
144 
2 
40 


46 

78 
545 
711 

10 


66 

207 
41 
44 
44 
31 

13 
137 

34 

7 

127 

126 

16 

548 

1,019 

141 

38 
55 
95 
32 


1,289 
319 


174 
112 

77 
191 

44 

99 
257 
369 
174 
141 

631 

147 

313 

4.550 

742 

294 
142 
504 
275 
35 

138 
128 
481 
112 
340 

90 

311 

268 

2,866 

5,601 

90 


279 
632 
122 
173 

73 
107 

27 

292 

65 

21 

203 

295 

64 

2,860 

5,526 

280 

140 
104 
340 
135 


2,555 
1,442 


516 
392 
233 
600 
285 

373 

1,080 

1,403 

651 

603 

2,071 
486 
1,426 
7,994 
2.813 

1,125 

339 

1,190 

1,265 

238 

581 
522 
1,872 
464 
951 

367 

1,814 

992 

6,795 

16,326 

321 


611 

1.857 
300 
516 
404 
862 

102 

820 

288 

62 

1,054 

958 

428 

9,372 

9,928 

713 

410 
250 
718 
227 


29 
20 
20 
29 

7 

24 
39 
64 
25 
23 

76 

19 

50 

1,751 

169 

81 

17 
45 
53 
12 

58 
23 
150 
7 
41 

19 

44 

79 

399 

1,350 


55 
152 
2 
34 
29 
59 

7 
56 

9 
14 

28 

60 

38 

787 

1,289 

33 

38 
11 
63 
20 


79 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1987 — Continued 


Cily  by  Stale 


Population 


Cnmc 
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 

Owensboro 

Paducah 

Richmond 

Saini  Matthews 

Shively 

Somerset 

Winchester 


LOUISIANA 

Alexandria 

Bastrop  

Baton  Rouge 

Bogalusa 

Bossier  City 

Denham  Springs 

Gretna 

Harahan 

Houma 

Jennings 

Lafayette 

Lalie  Charles 

Leesville 

Minden 

Monroe 

Morgan  City 

Natchitoches 

New  Iberia 

New  Orleans 

Pineville 

Ruston 

Shreveport 

Tallulah 

West  Monroe , 

Westwego 


MAINE 


Auburn 

Augusta... 

Bangor 

Bath 
Biddeford 


Brunswick 

Corham 

Lewiston 

Portland 

Presque  Isle,, 


Saco 

Sanford  

Scarborough 

South  Portland, 
Waterville 


Westbrook 
Windham,  , 
York 


56,289 

28,375 
23,384 
13,922 
14,792 
12,092 

16,123 


50.979 
17,096 
242,539 
17.086 
56,549 

10.802 
20.356 
11.129 
38,687 
12.576 

89.026 
72.743 
11.575 
15.054 
55.707 

15.886 
16.055 
35.876 
549.536 
14.251 

21,248 
218.407 
11.080 
16.392 
11.902 


23.131 
20.876 
30.504 
10.569 
20,936 

17,892 
11,166 
39,425 
63,386 
10,782 

14,575 
19,571 
12,471 
21,867 
17,184 

15,485 
13,159 
11.946 


2,993 

3,309 
877 
838 
680 
543 

677 


5.141 

729 

30.856 

963 

4.027 

679 
1.872 

395 
2.041 

654 

8,641 

5,379 

751 

524 

5,139 

595 

808 

1,235 

51,001 

530 

932 

23,306 

480 

1,042 

517 


755 
1,081 
1,903 

354 
1,013 

545 

151 

2.795 

8.074 

354 

706 

730 

388 

1.562 

1.214 

701 
427 
269 


3.001 

3.334 
879 
838 
683 
548 

679 


5.169 

730 

31.009 

964 

4.043 

679 

405 

2.047 

654 

8.660 

5.390 

758 

525 

5.148 

595 
812 

51,280 
546 

932 

23,421 

485 

517 


758 
1,095 
1,919 

355 
1,026 

555 

159 

2,812 

8.176 

354 

710 

761 

388 

1.576 

1.225 

704 
434 
272 


1 

1 

3 

205 


40 


161 

3 

31 


19 

3 

64 
18 

3 

6 

43 

3 

1 

5 

359 


113 
9 
4 
1 


84 

9 

813 

28 

42 

3 
86 

6 
55 

9 

211 

55 
7 
7 

60 

11 

10 

25 

3,786 

4 

4 
653 
9 
9 
15 


37 

147 

2 

7 
I 

10 
5 

4 
3 
1 


33 

278 
107 
21 
53 
24 

66 


360 

34 

3,289 

81 

271 

74 
127 

II 
143 
132 

667 
135 
101 
116 
699 


59 

9 

3,328 

17 

57 
1,320 
126 
34 
37 


7 
10 
46 

5 
51 

7 

4 

120 

344 

2 

4 
18 
5 
7 
65 

24' 
5 
9 


691 

752 
166 

81 
126 

91 

93 


1,092 
109 

7,916 
220 
658 

91 
471 

84 
507 

96 

1.727 

1.404 

138 

165 

1.216 

185 
253 
344 
11.999 
128 

154 
5.926 
142 
188 
102 


146 
150 
350 
46 
196 

98 
45 

660 

1.563 

65 

116 
135 
105 
168 
104 

148 
73 
72 


2,129 

2,111 

523 
643 
393 
404 

489 


3.388 

561 

16.774 

590 

2.810 

493 
1,048 

273 
1,245 

401 

5,670 

3,589 

489 

220 

2,929 

358 
480 
822 
22.365 
375 

701 

14.349 
190 
780 
333 


545 
876 
1.428 
279 
709 

412 
91 

1.852 

5.578 

275 

551 
544 
262 
1,309 
986 

487 
330 
172 


185 

14 

1,869 

37 

212 

17 
134 
21 
67 
13 

293 

171 

12 

10 

185 

29 

4 

27 

8,959 

6 

16 

905 

4 

27 

29 


50 
36 
49 
22 
40 

22 

U 

114 

411 
10 

26 
29 
14 
66 

44 

34 
14 
14 


80 


able  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1987 — Continued 


Cily  by  State 


Population 


Crime 
Index 
total 


Modified* 
Cntne 
Index 
total 


Murder 
and  non 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


MARYLAND 


iberdeen  

Annapolis 

lalttmore 

lallimore  City  SherifT 

lallimore  City  State  Police. 


'ambiidge ... 
?umberland . 

■rederick 

ireenbelt 

iagerstown.. 


lyatisville 

.aurel 

alisbury 

akoma  Park  (Montgomery  County) 


akoma  Park  {Prince  Georges  County) 
Westminster 


MASSACHUSETTS 


vgawam 

.mherst 

,thol 

.uburn 

ellingham.. 


oston 

ratntree 

iridgewater  . 

"anton 

'hicopee 


>artmouth 

■ast  Longmeadow.. 

-aston  

all  River 

itchburg 


iardner 

[ingham 

lolden 

ongmeadow . 


iUdlow 

fedfleld 

filford 

lilton 

lew  Bedford., 


4orth  Adams., 
•lorthampton... 

■lorthboro 

■Jorthbridge 


*Iorwood 

)xford  

'iltsfield 

iharon 
ihrewsbury 

iouthbndge 
ipencer 
iprtngfteld  ,,. 

Swansea 

Taunton 


12.132 

33,896 

764.803 


iValpole,,, 
A'areham 


11.248 
23.603 
34.343 
16.359 
34.211 

11,654 
12,386 
18.025 
10.313 

4.278 
10.394 


27,237 
32.388 
10.883 
14.638 
14.286 

575,882 
34,827 
18,493 
18,413 
57,326 

25,711 
12,961 
19,166 
90,778 
39,195 

18,493 
19,748 
13,804 
16,445 

18.814 
10.652 
24,326 
25.601 
96.832 

17.087 
28,472 
11,365 
12,489 

28,332 
12,379 
49,776 
14,718 
22,649 

16.585 
11.586 
1 50.002 
15.853 
45.941 

19.798 
20.421 


997 

2.733 

65,553 

I 

5 

940 

976 

2.418 

1.084 

1,849 

747 
1,106 
2,228 

528 

345 
554 


665 

840 
310 
582 
261 

67.417 

1,769 

260 

482 

2.462 

1,707 
418 
304 

7,357 
1,787 

425 
550 
126 
360 

405 
163 
342 
525 
7,049 

724 

1.367 

192 

210 

424 
280 
1,768 
258 
590 

203 

150 

10,609 

744 

1,751 

518 
1.224 


1.011 

2.773 

66,229 

1 


949 

978 

2,442 

1,888 


2,231 


581 


668 

841 
314 
582 
316 

67,590 

1,787 

260 

488 

2,502 

1,749 

422 

305 

7,684 

1,804 

436 
550 
127 
361 

411 
168 
345 
530 
7,222 

726 

1,371 

193 

216 

424 
281 
1,788 
258 
594 

203 

150 

10.730 

780 

1,763 

531 
1,225 


3 
226 


7 

17 

595 


7 
4 
6 
3 
I 

550 

10 

2 

2 

42 


156 
9 


27 

77 

7,466 


10 
3 
4 
7 
3 

5.408 

30 

1 

4 
51 

26 

6 

2 

164 

40 

5 
1 

2 
1 


2 

16 
241 

7 

10 
1 
1 

7 
1 

35 
2 

13 


628 

3 

36 


101 

193 

6.008 

1 

I 

83 
35 
360 
56 
67 

23 
33 
178 
31 

13 
28 


25 
21 
22 
6 
13 

5.920 

157 
21 
20 

193 

46 

12 

12 

353 

140 

42 
2 
3 
9 

35 
6 
2 

25 
537 

110 

97 

7 

16 

19 
21 
139 
19 
40 


25 


1.600 
50 
92 

37 
67 


153 

693 

13.475 


228 
177 
535 
176 
471 

168 
183 
492 
150 

72 
90 


106 
190 

82 
136 

68 

10,412 
258 

73 

97 

713 

348 
104 
124 
2,146 
503 

166 

143 
38 
43 

153 
25 
71 

181 
2,326 

150 
336 

57 
60 

64 
90 

587 
92 

137 

86 

50 

3,438 

123 

526 

64 
332 


634 

1,588 
30,319 


578 
718 

1,345 
661 

1,126 

389 

742 

1,359 

260 

193 

404 


448 
574 
173 
351 
148 

26,791 

882 

145 

295 

1,180 

809 
283 
122 
3,211 
924 

160 

361 

82 

294 

199 
125 
187 
215 
2,491 

411 

822 
107 
108 

204 
133 
825 
123 
350 

48 

88 

3,342 

293 

883 

335 
702 


75 

162 

7,464 


23 
30 
112 
155 
91 

95 

122 
105 
41 

41 
23 


67 
48 
23 
79 
28 

18,260 

431 

18 

64 

282 

476 

13 

44 

1,444 

165 

43 

42 

1 

12 

13 

7 

76 

85 

1.410 

39 
99 
19 
20 

128 
31 

151 
21 
47 

30 

12 

1,437 

274 

205 

77 
106 


81 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1987 — Continued 


City  by  State 


Population 


Crime 
Index 
total 


Modified' 
Cntne 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


MASSACHUSETTS— Continued 

Webster      

Westboro  

Weymouth    

Wilbraham 

Worcester      


MICHIGAN 

Adrian 

Albion 

Allen  Park 

Alpena 

Ann  Arbor 

Auburn  Hills 

Battle  Creek 

Bay  City      

Bedford  Township 

Benton  Harbor 

Benton  Township 

Berkley  ..... 

Berrien  Springs-Oronoko 

Beverly  Hills 

Big  Rapids 

Birmingham  

Blackman  Township 

Bloomfield  Township 

Bridgeport  Township 

Brownstown  Township 

Buena  Vista  Charter  Township 

Burton 

Cadillac i 

Canton  Township 

Chesterfield  Township 

Clawson       

Clto- Vienna 

Davison  Township 

Dearborn      

Dearborn  Heights 

Detroit 

De  Witt  Township 

East  Detroit         

East  Grand  Rapids 

East  Lansing      

Ecorse 

Emmett  Township 

Escanaba    

Farmington 

Farmington  Hills 

Femdale 

Flint 

Flint  Township 

Eraser 

Genesee  Township 

Grand  Blanc  Township 

Grand  Haven 

Grand  Rapids 

Grandville 

Green  Oak  Township  

Grosse  Poinle  Park 


15,150 
13,262 
54,696 

12,469 
158.395 


20,520 
10,390 
31,282 
11,345 
108,336 

16,078 
54,344 
39,894 
10,079 
14,229 

17.776 
17,555 
11,747 
10.933 
13,656 

20,640 
18,661 
43,763 
12,973 
17,606 

11,044 
29,564 
10,602 
60,815 
20,952 

14,169 
15,535 
13,807 
86,842 
62,152 

1,091,523 
10,662 
35,291 
11,827 
48,355 

13,114 
10,973 
13.968 
10,169 
65.659 

25.192 
146,301 
34.457 
13.898 
24.188 

25.705 
12,410 
187.441 
14.088 
11.134 

14,299 


187 

543 

1.496 

292 
10,908 


1,456 
741 

1,510 

594 

10.269 

851 
5,455 
2.365 

239 
2,754 

2.693 
559 
386 
309 
686 

1.254 
613 

1.690 
529 
859 

1.116 
2.088 
763 
2,710 
1,149 

543 

736 

425 

7,661 

3.540 

138,411 

331 

2,719 

289 

1,851 

1,338 
535 
842 
518 

3,311 

2,221 

22,697 

2,363 

836 

1,164 

1,057 

783 

17,335 

578 

276 


722 


189 

550 

1,511 

292 
11.157 


1,457 
743 

1,515 

601 

10.298 

860 
5,487 
2.385 

240 
2,824 

2,702 
560 
389 
311 
687 

1.258 
613 

1.698 
531 
873 

1,132 

2.107 

763 

2.746 


547 

742 

426 

7.686 

3.555 

139,978 

335 

2,737 

1,860 

1,356 
540 
845 
518 

3,328 

2.228 

23.109 

2.374 

843 

1.170 

1,059 

787 

17.487 

582 

278 

723 


686 


1 

5 

59 

6 

58 

31 

6 

41 

29 
3 
4 
I 
3 

4 
6 
14 
1 
4 

10 

18 
6 

19 
3 

2 

5 

1 

24 

13 

1,417 

5 

24 

1 

17 

11 

4 
4 


22 

18 

276 

5 

8 

11 

5 
I 
268 
4 
1 


5 
515 


7 

6 

24 

2 

180 

29 
162 
28 
2 
67 

42 
12 


28 
7 

33 
7 

12 

31 
66 
10 

32 

5 

10 

13 

3 

200 

125 

15.093 

5 

122 

3 

10 

76 
7 
I 

7 
29 

134 

1,379 

48 

9 

33 

10 

4 

504 

4 


18 
11 
98 

12 
852 


29 
39 
45 
10 

432 

58 
417 
135 

18 

478 

124 

24 

17 

8 

10 

30 
30 
50 
24 
71 

107 
98 
28 
63 
U 

18 

87 

8 

172 

131 

10,582 

18 

76 

2 

47 

101 
19 
7 
10 

135 

114 

2,856 

75 

46 

106 

70 

10 

1,464 

7 
17 


24 


93 

86 

424 

59 
3,252 


171 

193 

382 

89 

1.718 

191 
1,496 
418 
105 
850 

684 
78 
57 
43 
64 

216 
75 
190 
112 
152 

259 
369 
92 
502 
321 

108 

139 

78 

865 

1,010 

36,900 

104 

385 

32 

246 

421 
138 
141 
90 

751 

380 

6,586 

446 

140 

271 

190 

59 

3,984 

114 
82 

106 


48 
378 
711 

198 
5,021 


1,208 
485 
784 
476 

7,378 

482 

3,189 

1,673 

97 

1,232 

1,732 
389 
294 
231 
589 

843 
472 
1,224 
372 
482 

658 
1,403 

605 
1,821 

726 

358 

440 

305 

4,939 

1,684 

43,914 

185 

1,631 

242 

1,369 

518 
348 
665 
382 
1.936 

1,268 

9,709 

1,565 

556 

648 

695 
689 
9,970 
413 
152 

461 


13 
67 

237 

17 
1,172 


40 

9 

274 

12 
498 

85 
126 

79 
II 
78 

82 
53 
14 
18 
18 

133 
23 

178 
13 

136 

50 
130 

21 
273 

83 

47 

50 

30 

1,457 

574 

29,819 

14 

481 

9 

162 

202 
19 
23 
29 

437 

301 

1.839 

223 

77 

94 

87 
20 
1,130 
35 
24 


121 


82 


Fable  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1987 — Continued 


Cily  by  Stale 


Populalion 


Cnmf 
Index 
total 


Modified* 
Crime 
Index 


Murder 
and  non- 
negtigent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


urglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


MICHIGAN— Continued 

lirosse  Poinle  Woods 
lamburg  Township 

lampion  Township 

lamtramck   

larper  Woods 

lazel  Park    

lighland  Park 

lolland 

3ckson       

.alamazoo  

.alamazoo  Township 

.enlwood    

ansing 

ansing  Township.  . 

incoln   Park  

ivonia 

ladison  Heights 

larquette 

[elvindale 


[idland  

lOnroe  

lount  Clemens 

[ount  Morris  Township  , 
iount  Pleasant      


:undy  Township 
uskegon 

iuskegon  Heights 
iuskegon  Township . 
iles  


iles  Township     

orthville  Township  . 

orton  Shores 

ovi 

ak  Park  


scoda-Ausable  Township . 

wosso 

ttsfield  Township 

ymouth    

mtiac 


)rtage 

)rt  Huron 

edford  Township 

iver  Rouge 

iverview  


omulus      ....„,.,.„,, 

oseville     

oyal  Oak 

iginaw       

iginaw  Township 

iinl  Clair  Shores  - 
lult  Sainte  Marie. 

lelby  Township 

luthfieid    , 

>uthgate        


erhng  Heights 
immit  Township 
impter  Township . 

aylor  

homas  Township.. 


16.520 
ll,7q7 
10,722 
18,781 

14,782 
20,2')9 
25,745 
29,0')2 
37,151 

77,507 
21,042 
35,925 
12'),610 
10,330 

43,059 
101,031 
33,704 
21.474 
11.204 

36,065 
21,937 
19,394 
26,961 
21,997 

10,883 
40,004 
14,681 
14,330 
12,561 

12,320 
14,480 
21,816 
28,127 
31,272 

14,249 
15,495 
12,581 
10,029 
71,377 

40,627 
33,935 
56,364 
1 1 ,405 
14,068 

24,218 
52,043 
66,513 
72,824 
37,261 

72,452 
14,028 
42,888 
73.266 
30.538 

112.507 
21.042 
11.395 
72.794 
11.214 


428 

314 

436 

2.875 

2,097 
2,255 
4,461 
1,490 
4,004 

9,226 

939 

2,143 

10,996 

668 

3.590 
5.482 
2.703 
1.047 
1.068 

1.601 
1.114 
1.650 
1.942 
905 

369 

5.280 

2.137 

867 

858 

309 

528 

630 

1.887 

2.509 

402 
963 

1.446 
323 

8.590 

2.147 
2.299 
3.823 
1.195 
397 

2.469 
4.805 
4.035 
7.507 
1.777 

3.567 
767 
1.645 
7.665 
2.211 

5.395 
420 
382 

5.782 
211 


428 

318 

440 

2,895 

2,099 
2,270 
4,492 
1,496 
4,071 

9,318 

940 

2,148 

11,074 

669 

3,604 
5,521 
2,724 
1,051 
1.074 

1.634 
1.121 
1.671 
1.958 
906 

373 

5.314 

2.145 

869 

861 

312 

535 

630 

1.891 

2,518 

405 
967 

1,453 
324 

8,648 

2,161 
2,308 
3.825 
1.223 
398 

2.496 
4.816 
4.053 
7.695 
1.784 

3.582 
772 
1.659 
7,679 
2.225 

5.441 
422 
386 

5.821 


2 
5 
6 
19 

1 
10 
61 
17 

54 

132 
12 
16 

164 
4 

17 
17 
5 
4 
6 

4 
12 

7 
20 

6 


1 

9 
21 

5 
8 
5 

170 

14 
12 
8 
14 


28 
20 
23 
167 
2 

17 

3 

6 

28 

10 

21 
5 


200 

49 
112 
572 
3 
119 

321 
14 
21 

336 
30 

77 
147 
67 


14 
11 
92 
95 
4 

4 
95 
72 

7 
10 

3 
10 

8 

15 

139 


31 

1 
538 

19 
37 
120 
46 


66 
95 
83 
288 
38 

53 

4 

14 

279 

40 

62 

7 

5 

109 

1 


7 

15 

11 

266 

21 
271 
529 

61 
563 

1.254 
36 
69 

1.176 


157 
192 
84 
23 
35 

16 
70 
115 
165 
23 

10 

998 

232 

2 

58 

10 

6 

20 

32 

187 

18 
72 
53 
18 
1.764 

47 
151 

84 

132 

7 

211 
115 

92 
982 

56 

84 
31 
46 
283 
75 

222 
23 
55 

284 

4 


51 

90 

59 

708 

117 
338 
940 
221 
789 

2.081 
238 
228 

2.612 
149 

745 
878 
421 
119 
247 

174 
229 
317 
559 
122 

94 

1,055 

356 

143 

153 

75 
103 
105 
274 
469 

82 
211 
247 

44 
2,062 

304 
385 
664 
278 
85 

511 
603 
861 
2.062 
231 

714 
167 
355 
1,215 
335 

937 

96 

120 

1,207 

33 


320 
190 
341 
974 

1,523 
1,127 
1,438 
1.134 
2.294 

5.105 

610 

1.726 

6.043 

424 

2,105 

3,163 

1,721 

863 

585 

1,362 
741 
941 
906 
722 

226 

2,971 

1,411 

692 

597 

212 

380 

465 

1,354 

1,149 

284 
630 
973 
242 
3,186 

1,690 

1.634 

2.146 

576 

270 

1,312 

3,352 

2,52 

3,688 

1,371 

2,139 
534 
1,055 
3,795 
1,376 

3,487 
280 
173 

3.081 
166 


44 

14 

17 

700 

386 
397 
886 
54 
182 

328 
28 
83 

657 
52 

486 

1.085 

404 

38 

174 

31 
51 

176 
195 
28 

35 
115 
51 
18 
22 

7 

29 

29 

202 

542 

12 

34 
137 

1 
843 

73 
80 
801 
144 
33 

337 
619 
453 
297 
78 

559 

28 

167 

2.056 

374 

662 

9 

21 

1.036 

7 


83 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1987 — Continued 


City  by  Slate 


Population 


Cnme 
Index 
total 


Modified" 
Cnme 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
Ihefl 


Motor 
vehicle 
theft 


MICHIGAN— Continued 


Travet^e  City 

Trenton 

Troy 

Van  Buren  Township. 
Walker 


Warren         

Waterford  Township    

Wayne       

West  Bloomfleld  Township.. 
Westland 


White  Lake  Township  . 

Woodhaven  

Wyandotte 

Wyoming 

Ypsilanti 


MINNESOTA 

Albert  Lea 

Andover 

Anoka       

Apple  Valley 

Austin  

Bemidji 

Blame      

Bloomington 

Brainerd 

Brooklyn  Center 

Brooklyn  Park 

Bumsvtlle 

Champlin 

Cloquet     

Columbia  Heights  

Coon  Rapids 

Cottage  Grove 

Crystal 

Duluth 

Eagan  

Eden  Prairie 

Edina 

Fairmont 

Faribault 

Fergus  Falls 

Fridley  

Golden  Valley 

Hastings 

Hibbing 

Hopkins    

Hutchinson 

Inver  Grove  Heights 

Lakeville 

Mankato 

Maple  Grove 

Maplewood 

Marshall 

Minneapolis 

Minnetonka 

Moorhead 

Mounds  View 

New  Brighton 


15.887 
21.273 
67.598 
19.183 
16,299 

150.531 
64.865 
21,103 
47.089 
81,586 

23,142 
11,225 
31.503 
62.725 
23.243 


18.279 
10.726 
15.489 
28.400 
21.934 

10,937 
34,674 
86,348 
11,582 
32,066 

53.930 
40.858 
12.488 
10.595 
19,387 

43.516 
21.048 
24.825 
82.964 
32.348 

26.023 
46,659 
11,682 
16,375 
12,085 

29,578 
23,042 
14.260 
19.165 
14.552 

10,192 
19,165 
19,004 
30,082 
30,364 

32,227 
11.118 
359.371 
44.644 
28.561 

14,160 
22,005 


1,121 
614 

4,719 
890 
860 

10,487 
4,663 
1,939 
1,289 
5.072 

834 

629 

1.504 

3.276 

2.217 


709 
519 

1.107 
771 

1.165 

1.152 
2,177 
3,911 
1,074 
2,461 

3,024 

2,889 

546 

728 

941 

2,746 

904 

986 

4,826 

1,351 

1,429 
1,902 

384 
1,023 

553 

1,919 

1,049 

496 

376 

833 

473 
804 
681 
1,773 
812 

1,779 

338 

45,356 

1,402 

1,864 

485 
762 


1,123 
617 

4.745 
894 


10.579 

1.961 
1.295 
5,124 

840 

634 

1,512 

3,301 

2,227 


716 
525 

1,115 
775 

1.166 

1,156 
2,185 
3,938 
1,080 
2,462 

3,041 

2,893 

547 

740 

948 

2,755 

911 

987 

4,857 

1,368 

1,446 

1.908 

384 

1.025 

554 

1.924 

1.062 

498 

376 

844 

481 
815 
703 
1,781 
813 

1.787 

340 

45,621 

1,404 

1,871 

491 
763 


38 


3 
2 
5 
5 
1 

6 
1 

520 
7 
7 

4 
5 


358 

91 

85 

4 

121 

11 

9 

17 

28 

113 


6 
2 
6 
3 

23 

5 

2,866 


20 
25 
144 
43 
41 

489 
174 
116 
43 

187 

55 
20 
11 
83 
262 


13 
4 
20 
12 
21 

32 
40 
47 
44 
46 

144 
34 
19 
29 
16 

25 
14 
26 
159 
34 

20 
15 

3 

24 

9 

24 
8 

13 

6 

28 

8 
31 
25 
32 
22 

27 

5 

2,114 


22 


121 
120 
687 
149 
117 

1.852 

1.052 

360 

242 

995 

198 
73 
235 
638 
399 


123 
264 
282 
174 
191 

89 
342 
614 
240 
467 

791 
564 
127 
169 
248 

454 
108 
202 
931 
335 

223 
295 

57 
266 

79 

279 
306 

68 
51 
174 

47 
233 
142 
335 
139 

336 

46 

11.987 

238 

201 

58 
154 


916 
408 
3.176 
555 
647 

5.763 
3.015 
1.101 
927 
3.032 

508 

459 

1.118 

2,266 

1.225 


520 
209 
739 
544 
872 

966 
1,672 
2,940 

740 
1,735 

1,852 

2,160 

372 

483 

601 

2,147 
733 
687 

3,353 
909 

1,132 

1,473 

308 

667 

430 

1,493 
637 
379 
306 
564 

392 
467 
471 
1,320 
618 

1,291 

263 

23,254 

1,079 

1,583 

361 
544 


44 
58 
657 
130 
48 

1,950 

282 

267 

70 

709 

52 

65 

117 

237 

187 


35 
40 
56 
32 
70 

54 
96 

255 
37 

183 

184 
105 
20 
40 
56 

101 
30 
48 

309 
51 

49 
98 
11 
60 
31 

102 
86 
34 
12 
59 

23 
65 
36 
73 
29 

96 
18 
4,577 
62 
46 

45 
46 


84 


,  Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1987 — 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 


MINNESOTA— Continued 

>Jew  Hope 

>Iew  Ultn 

slotlhfield 

^onh  Saint  Paul 

)akdale  

)watonna 

'lyitiouth 

lamsey 

l<Kl  Wing   

tichfield     

lobbinsdale 

Rochester 

Loseville 

aint  Cloud 

aint  Louis  Parle 

aint  Paul  

hakopee  

horeview 

3Uth  Lake  Minnetonka 

Duth  Saint  Paul 

;illwater  , 

adnais  Heights 

'est  Saint  Paul 

'hite  Bear  Lake 

'illmar 

'inona  

'oodbury 

I                    MISSISSIPPI 
y  Saint  Louis 

rookhaven  

larksdale 

Diumbus 

5rinth 

reenville 

reenwood 

renada 

ulfpoil 

ckson 

lurel 

)ng  Beach 

eiidian 

OSS  Point 

atchez 

:ean  Springs 

iscagoula 

;arl 

arkville 

ipelo 

cksburg        


MISSOURI 


Tiold 

illwin 

lUefontaine  Neighbors  . 

:lton 

Tkeley 


22.972 
13.455 
13.334 

11.068 
15.479 
18.208 
46.920 
12,186 

14.160 
36.275 
14.009 
58.542 
34.150 

43,154 
43,939 
265,550 
10.867 
24.362 

10.136 
20.716 
12.871 
10.222 
18.752 

23.949 
16.003 
24.261 
17.491 


10.260 
10.850 
21.299 
28.289 
12.490 

39.998 
20.529 
10.870 
43.408 
208.411 

20.629 
16.849 
42.968 
19.289 
22.179 

17.599 
30.859 
21.529 
16.629 
25.829 

26.019 


20.398 
13.850 
11.695 
14.938 
17.023 


746 
423 
526 

479 
473 
579 
1,623 
483 

582 
1.679 

773 
3,183 
2,108 

3.006 

2.298 

21.360 

736 

416 

306 
774 
461 
261 
1.079 

994 

779 

1.571 

573 


452 

381 

812 

1.709 

472 

3.469 

1.510 

769 

4.864 

16.203 

1,917 
834 

2,465 
504 

1,817 

810 

2.735 

647 

931 

1.203 

1.289 


799 
361 
429 
604 

675 


749 
424 
531 

482 
475 
579 
1,637 
485 

587 
1,691 

781 
3,185 
2.112 

3.012 

2.301 

21,655 

738 

417 

309 
776 
464 
261 
1.080 

995 

782 

1.572 

574 


821 

1.714 

473 

3.478 

1,559 

773 

4.888 

16.312 

1.921 
834 

2.469 
504 

1.820 

811 

2.738 

651 

932 

1.203 


808 
362 
429 
606 
686 


12 
218 

2 
2 

2 
5 
3 
1 
4 


40 

7 

2 

45 

112 

7 
5 
5 

10 
21 

5 
19 
6 
5 
1 


5 
3 
I 

3 
2 
6 
5 
1 

1 
27 

8 
15 
24 

12 

38 

746 

4 
7 


3 

7 
28 

27 
3 

78 

43 

7 

97 

407 

11 
10 
25 
4 
36 

5 

64 

7 

8 

13 

27 


7 

47 

9 

13 
51 
13 
41 
14 

61 

47 

1,313 

28 

2 

5 

21 

10 

2 

9 

17 
20 
15 


22 

6 

35 

29 

2 

161 

19 

97 

195 

895 

4 
70 
24 
25 
47 

22 
335 
25 
68 
23 

73 


146 
68 
66 

109 
112 
11 
300 
95 

73 
435 
171 
515 
343 

406 

515 

6.183 

131 

80 

65 

201 

63 

42 

200 

220 

64 

348 

193 


144 
62 
356 
306 
184 

1.565 

444 

212 

1,516 

5,294 

518 
344 
620 
251 
342 

161 

774 
151 
175 
174 

523 


542 
334 
408 

342 
315 
421 
1,149 
344 

460 

975 

539 

2,508 

1.612 

2,397 

1,500 

11,578 

526 

307 

224 
485 
358 
182 
799 

685 

645 

1.166 

344 


260 
290 
349 
1.283 
237 

1.489 

930 

419 

2.742 

8.698 

1.335 
367 

1.680 
193 

1.332 

578 
1.441 
430 
646 
915 

609 


150 

575 

53 

291 

65 

317 

86 

445 

207 

313 

30 
15 
38 

19 

28 
27 
121 
34 

34 
181 
38 
87 
112 

122 

186 

1.310 

44 

1 

10 

54 
23 
34 
56 

58 
38 
36 
21 


22 
II 
32 
53 
44 

127 
59 
31 

267 

745 

38 
37 
102 
20 
37 

39 
99 

25 

27 

77 

40 


85 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,   1987 — Continued 


City  by  Stale 


Population 


Cnme 
Ifidex 
total 


Modified* 
Clime 
Index 
total 


Murder 
atid  non- 
negltgent 

tnan- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


MISSOURI— Continued 

Blue  Springs 

Bridgeton 

Cape  Girardeau 

Carthage         

Clayton 

Columbia 

Crestwood      

Ferguson         

Florissant 

Fulton 


Gladstone 

Grandview 

Hannibal 

Hazelwood 

Independence.. 


Jefferson  City 
Jennings 
Joplin 

Kansas  City 
Kirksville 


Kirkwood 

Lebanon    

Lees  Summit . 
Maplewood .... 
Marshall    


Maryland  Heights  . 

Mexico  

Moberly 
O'Fallon 
Overland    


Raytown       

Richmond  Heights  . 

Rolla 

Saint  Ann 

Saint  Charles 


Saint  Joseph  . 

Saint  Louis  .- 
Saint  Peters.. 
Sikeston 
Springfield 


University  City 
Warrensburg 
Washington 
Webster  Groves 


MONTANA 


Billings  . 
Bozeman . 
Havre 


NEBRASKA 


Alliance . 
Beatrice  . 

Bellevue 

Columbus 
Fremont  

Grand  Island.. 
Hastings 


33,473 
18.544 
34.611 
11.322 
13.760 

63,601 
12.178 
24.085 
59,471 
10,244 

27,822 
25,233 
18,807 
16,5W 
113,775 

36,474 
17,416 
40.514 
444,382 
16,127 

27,630 
10,315 
36,333 
10,043 
12,642 

27,862 
11,785 
13,206 
12,178 
18,867 

31,075 
10,879 
13,256 
15,069 
42,297 

74,611 

429,414 
27,479 
17,739 

140,378 

42,579 
12,823 
10,285 
23,299 


79.339 
23,206 
10,709 


10.455 
12,201 
32.123 
18,566 
23,723 

39.007 
22,935 


1,991 

1,289 

2.284 

434 

832 

4,540 
370 
982 

1.330 
413 

904 

1,431 

999 

781 

6,650 

1,630 
1,335 
3,112 

52,777 
751 

838 
456 
1,339 
587 
324 

1,380 
281 
650 
639 
964 

1,160 

773 

657 

888 

1,933 

5,013 
54,408 

1.220 

994 

10,243 

2,384 
958 
452 
523 


6,641 

1,378 

702 


398 
502 
1,211 
764 
912 

2,634 
985 


1,293 

2.302 

438 

834 

4,568 
371 
988 

413 

910 
1.440 
1,001 

786 
6,697 


1,336 

3,127 

53,330 


842 

458 

1,342 

587 


1,389 
284 
653 
640 
971 

1,160 

778 

658 

888 

1,958 


54,971 

1,224 

99q 

10,312 

2,404 
965 
455 
531 


6,660 

1,382 

708 


399 
503 
1,211 
764 
919 

2,635 
987 


2 
131 


1 
153 


2 
6 
1 

1 
12 

3 
28 

12 

5 

24 

486 

3 

6 

4 
3 
2 


I 

16 

23 

332 

2 

10 
41 


24 
22 
18 
1 
20 

87 

8 

35 

29 

4 

12 

43 

6 

11 

139 

34 

46 

44 

3,279 

2 

20 
2 
13 
13 
2 

19 
3 
5 
3 

21 

37 
12 
7 
12 
28 

47 

3,296 

27 

II 

157 

96 
2 
3 

II 


53 
20 
152 
14 
16 

141 

2 

17 

65 

48 

32 
39 
55 
15 
312 

72 
59 
77 
4,527 
40 

11 

8 

39 

13 

2 

127 

5 

33 

49 

35 

34 

10 

6 

6 

86 

225 

5,997 

9 

35 

240 

70 

8 

84 

II 


385 
217 
272 
89 
214 

785 

59 

313 

218 

50 

227 
350 
174 
126 
1,701 

331 
192 
555 
13,767 
126 

172 
86 

304 
67 
67 

329 
62 
113 
113 

177 

223 
116 
121 
85 
407 

1,265 

11.796 

265 

152 
2.528 

684 

214 

54 

106 


1.335 
102 
84 


1,467 
922 

1,755 
320 

557 

3,363 
267 
533 
936 
296 

559 
874 
736 
553 
3,997 

1,117 

917 

2,294 

24,224 

539 

588 
312 
863 
438 

247 

807 
203 
476 
448 
679 

774 
566 
500 
668 
1,272 

3,268 

25,157 

878 

759 

6,849 

1,281 
709 
294 
363 


4,876 

1,183 

579 


64 

313 

57 

420 

168 

981 

158 

578 

109 

776 

546 

1,954 

216 

732 

61 

105 

79 

9 

25 

139 
34 
80 
75 
14 

72 
113 
28 
72 
470 

64 

114 

116 

6,363 

4! 

41 
44 
117 
54 
6 

97 
7 
20 
25 
46 


62 
23 
116 
121 

184 

7.677 

39 

27 
427 

237 
25 
12 
28 


305 
81 
29 


10 
18 
35 
20 
18 

69 
23 


86 


ble  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns   10,000  and  over  in  Population,   1987 — Continued 


City  by  Slate 


Population 


Crime 
Index 
total 


Modified* 
Cnme 
Index 
total 


Murder 
and  non- 
negligenl 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


NEBRASKA— Continued 


,rney 

Vista 

x>ln 

folk 

th  Platte 

aha 

illion 

ttsbluff 


NEVADA 

Ider  City 

iderson  

Vegas  Metropolitan  Police 
epartment  Jurisdiction 

0 

rks 


NEW  HAMPSHIRE 


ford 

in  

emont.. 
cord 

iry 


ham... 

:er 

Tstown . 
npton .. 

llson 


ne . 


onia 

anon 

(donderry 

ichester 

rimack 

ord 

hua  ......... 

smouth 


hester 

m    

sersworth . 


NEW  JERSEY 

rdeen  Township 
ury  Park 

intic  City 

onne 

eville    

tnawr 
genfield 

keley  Heights       

keley  Township     

nards  Township 

otnrield        

k  Township.... 

igeton        

igewater  Township 

lington 


22,716 

10.934 

182.615 

20,212 
22,437 
374,934 
11,074 
14,366 


11,779 
49,029 

481,393 

115,320 
54,282 


11,930 
12,558 
14,781 
33,731 
25,043 

24,467 
12,805 
12.619 
13.916 
12.105 

17.694 
23,026 
17,025 
11,693 
17,117 

100,131 
19,783 
10,571 
78,753 
26,731 

24,055 
25,949 
11,106 


18,979 
16,341 
36.226 
63,330 
36.095 

13,693 
25,332 
12,817 
32,128 
15.435 

47.975 
61.215 
18.747 
29,198 
10.461 


961 

237 
12.362 

1.004 

1.521 

24.383 

241 

1.009 


197 
1.536 

37.020 

9,806 
3,182 


501 
166 

553 

1.614 

920 

1.136 
300 
284 
311 
759 

522 

1.137 

1.094 

519 

386 

5.935 

390 

146 

3,171 

1,370 

1.084 

1,285 

485 


718 

1,504 

13,811 

1,693 

1.865 

378 
625 
160 
795 
254 

2,138 

2,418 

1,401 

635 

506 


965 

237 
12,427 

1,008 

1,523 

24,450 

242 

1,010 


197 
1,544 


9,866 


502 
166 
559 
1,623 
930 

1,141 
301 

288 
311 
761 

532 

1,148 

1,108 

525 

392 

6,006 

394 

149 

3,181 

1,384 

1,102 

1,288 

490 


731 

1,507 

13,884 

1,716 

1,884 

378 
626 
161 
817 
256 

2,147 

2,444 

1,414 

635 

537 


10 


28 


3 
6 

57 

3 

10 

189 

1 

1 


28 

308 

115 
20 


48 


1 
1 

87 

1 
5 
570 
2 
2 


2 
40 

1,837 

408 
80 


104 

2 


12 
81 
510 
65 
52 

1 
11 


7 

3 

547 

20 

37 

1,749 

6 

26 


5 
34 

1,692 

368 
124 


9 
31 
30 
13 
23 

63 
5 
21 
28 
146 

80 

15 

1 


71 
155 
482 

66 
121 

20 
14 

23 
5 

78 

43 

140 

16 

23 


123 

49 

2,305 

198 

211 

5,338 

48 

146 


44 
459 

9,395 

2,134 
630 


86 

15 

98 

292 

239 

124 
83 
71 
39 

170 

91 
201 
255 

78 
70 

1,298 

60 

27 

603 

225 

215 
186 
82 


138 
288 
1,431 
349 
334 

29 
11 

40 
191 

53 

290 
423 
365 
156 
93 


796 

176 

8.955 

739 

1,205 

15,292 

180 

819 


143 
845 

20.069 

6.031 
2.120 


385 
132 
399 
1.170 
563 

952 
198 
158 
247 
541 

372 
849 
719 
403 

271 

4.063 

282 

94 

2.212 
913 

693 
823 
364 


430 
774 
10.770 
832 
856 

294 
441 
116 
531 

187 

1.125 

1.750 

782 

412 

331 


31 

2 

401 

43 

53 

1.217 

4 

15 


3 
130 

3.672 

738 
205 


16 
16 

24 
90 
75 

48 

1 

24 

12 

43 

44 
38 
61 
19 
19 

381 

36 

4 

240 
63 

46 
241 

32 


48 
179 
553 
377 
499 

34 

40 

4 

36 

7 

582 
183 
51 
48 
46 


87 


Table  6. 


•  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1987 — Continued 


City  by  State 


Population 


Cnme 
Index 
total 


Modified* 
Cnme 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


NEW  JERSEY— Continued 


Burlinglon  Township 

Camden 

Carteret 

Cedar  Grove  Township  . 
Cherry  Hill 


Cinnaminson  Township.. 

Clark 

ClifTside  Park 

Clifton 

Collingswood 


Cranford  Township 
Delran  Township 
Denville  Township 
Deptford  Township 
Dover 


Dover  Township 

Dumont     

East  Brunswick  Township . 

East  Orange  

East  Windsor  Township  .... 


Eatontown 

Edison 

Egg  Harbor  Township. 

Elizabeth 

Elmwood  Park 


Englewood 

Evesham  Township . 

Ewing  Township 

Fair  Lawn 

Fairview 


Florham  Park 

Fort  Lee 

Franklin  Lakes 

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


Freehold 

Freehold  Township  .. 
Galloway  Township  . 

Garfield  

Glassboro 


Glen  Rock 

Gloucester  City 

Gloucester  Township  . 

Hackensack 

Haddonfield 


Haddon  Township 

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

Hammonton  

Hanover  Township 


Harrison  

Hasbrouck  Heights.. 

Hawthorne  

Hazlet  Township 

Highland  Park 


Hillsborough  Township. 

Hillsdale      

Hillside  Township 

Hoboken  


11,740 
83.377 
19,663 
12,666 
72,')85 

15,817 
16,431 
20,831 
76,952 
15,545 

24,194 
14,398 
14,307 
24,748 
14,498 

71,948 
18,063 
42,508 
77,949 
22,815 

13,552 
82,691 
22,301 
107,271 
18,143 

23.570 
28.916 
35.451 
31.494 
10,380 

10,562 

32,774 
10,028 
14,267 
35,964 

10,189 
21,355 
18,173 
26,530 
14,519 

11,085 
13,341 
50,855 
36,065 
12,283 

16,039 

87.584 
12.515 
12.384 
12.011 

12,555 
11,800 
18,747 
23,338 
13,179 

23,489 
10.421 
21,526 
41.934 


763 

11,239 

491 

370 

4,359 

489 
414 

497 

2.874 

541 

585 
422 
320 
1,785 
498 

3,323 

308 

1,653 

6,498 

694 

1,058 

3,140 

1.627 

10.062 

890 

1.501 
944 

1,795 
838 
464 

125 

1,493 

170 

419 

1,477 

475 
718 
621 
406 
870 

123 

380 

2.278 

2.456 

329 

624 
3,315 
746 
509 
218 

525 
419 
477 
404 
384 

397 

197 

1,996 

2.367 


774 

11.368 

492 

373 

4.375 

493 
415 
497 
2.878 
548 

589 
424 
321 
1,792 
498 

3,345 

308 

1,654 

6,609 

697 

1,063 

3.164 

1.639 

10.098 

893 

1.509 
952 

1.803 
842 
465 

125 

1.495 

174 

425 

1.484 

478 
722 
627 
407 
875 

124 

384 

2.290 

2.464 

329 

629 
3.333 
759 
512 
219 

527 
419 
477 
407 
388 

398 

199 

1.999 

2.380 


22 


3 
123 


22 


2 

104 

9 

6 
16 

17 
50 

7 


7 
1.025 


6 

1 

56 

11 

3 
4 
2 
12 
3 

26 

8 

6 

660 


9 

35 

14 

734 

24 

51 

5 

29 

14 

9 

1 
46 


2 
122 
76 


2 

34 

544 

15 

15 
83 
71 
445 
22 

80 
13 
32 
17 
19 

1 
29 

6 
33 
41 

43 
14 
29 
11 
13 

1 
13 
69 

35 


15 

4 

18 

28 

9 

5 

7 

69 

109 


111 

2.888 

143 

90 

496 

126 
39 
91 

463 

75 

87 
68 
34 
274 
86 

748 

82 

180 

1,613 

134 

123 
563 
394 
1,605 
112 

368 
171 
315 
159 
103 

13 
218 

31 
115 

357 

82 
92 

148 
62 

169 

32 
78 
371 
189 
68 

116 
841 
215 
106 
26 

48 

37 
72 
87 
81 

95 

56 

289 

460 


538 

3,871 

265 

210 

3,097 

286 
323 
314 
1,682 
369 

437 
296 
243 
1,192 
320 

2,209 

192 

1,264 

1,823 

482 

809 
1,950 

975 
4,273 

621 

860 
699 
1,167 
546 
236 

104 
998 
121 
221 
947 

303 
564 
405 
251 
602 

72 

241 

1,601 

1,790 

236 

453 
2,072 
386 
331 
171 

236 
298 
304 
226 
281 

273 

129 

955 

1,131 


81 

2,422 

53 

28 

593 

50 
42 
77 
579 
69 

47 
43 
25 
264 
70 

230 
24 

167 

1,744 

45 

95 
491 

155 

2,945 

104 

133 
55 

245 
99 
97 

6 

196 

II 

43 
97 

17 
44 
29 
79 
46 

13 

44 

196 

373 

14 

39 
281 

57 
57 
16 

218 
73 
67 
52 
II 

22 

3 

551 

583 


88 


able  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1987 — Continued 


City  by  Stale 


Population 


Crime 
Index 
total 


Modified' 
Cnme 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


NEW  JERSEY— Continued 

timdel  Township 

)patcong 

jpewell  Township 

iwell  Township 

inglon 

kson  Township 


Tcrson  Township 
se>    City 
■ansburg 

■amy    

ce>   Township 


kewood 

wtence  Township . 

icoln   Park 

ideii 

idenwoid 


tie  Egg  Harbor  Township. 
tie  Falls  Township 

tie  Ferry 

ingslon 

Ji       


!ig  Branch 

:  wer  Township 

i  idhurst  Township. 

dison 


hwah  Township.. 


J  nalapan  Township 
1  nchester  Township     . 

I  nville 

I  pie  Shade  Township  . 
1  plewood  Township..,. 


1  riboro 

1  dford  Township.. 

1  tuchen 

iJdlesex 

I  Jdle  Township  ... 


I  jdletown  Township 

I  llburn  Township 

lllville    

J  nroe  Township  (Gloucester  County) 
inroe  Township  (Middlesex  County).. 


intclair 

intville  Township 

lorestown  Township  . 

irristown    

irris  Township 


lunt  Holly 

unt  Laurel  Township,. 

unt  Olive  Township  ... 

ptune  Township 

wark     


w  Brunswick 

w  Milford 

w  Providence 

rth  Arlington 

rth  Bergen  Township 

rth  Brunswick  Township.. 

rth  Plainfield 

itley 


10.753 

15.314 
11.186 
32,440 
62,635 
28,332 

16,905 
220,981 
10,632 
35,169 
18,737 

40,132 
23.429 
10,048 
37.956 
18,566 

10,622 
12,324 
10,008 
28,685 
23,066 

29,702 
19,633 
20,076 
15,445 
14,619 

25,523 
34,111 
10,954 
19,996 
22.915 

25.835 
20.499 
13.210 
13.381 
12.918 

69.834 
19.623 
25,503 
23,419 
19,935 

38,753 
15,495 
15.928 
16.874 
19,845 

10.934 
24,839 
19.543 
29,238 
318,402 

40,505 
16,431 
12.283 
16.089 
47.663 

25.956 
18,032 
29,299 


258 

332 

237 

907 

7,384 

1,487 

358 

20.199 

288 

2,105 

521 

2.631 
2.258 

170 
1.841 

990 

485 
597 
359 
1.199 
836 

2.164 
566 
823 
256 
533 

544 
363 
170 
878 
1.071 

599 
637 
487 
371 
842 

1.458 
861 

1.592 
802 
402 

2.028 
370 
769 

1,477 
473 

605 
1.118 

557 

1.642 

40.185 

2.497 
336 
121 
377 

2.939 

1.175 
844 
625 


258 

337 

240 

926 

7.428 

1.488 

358 

20.265 

289 

2,112 

525 

2,656 

2.267 
170 

1,848 
993 

487 
598 
364 
1,202 
841 

2.206 
570 
828 
256 
537 

546 
369 

171 

886 

1,072 

608 
641 
491 
372 
842 

1.473 
869 

1.616 
814 
406 

2.034 
372 
770 

1.481 
473 

613 
1.123 

562 

1.655 

40.761 

2.500 
336 
122 
377 

2.944 

1.187 
846 
625 


105 

2 

13 
1 

14 

4 

1 
7 
7 


24 
5 
1 

20 
1 
2 

10 
3 

4 
3 
12 

7 
577 

21 
3 


5 

545 

14 

1 

2.051 

1 

33 

2 

99 
18 
2 
73 
15 

1 
13 

5 


42 
7 
3 

43 

4 

12 

42 

6 

18 

5 

2 

45 

4,230 

126 


14 
6 

50 
681 

32 

7 

1,172 

25 

102 

14 

116 

20 

5 

60 

47 

18 
13 
6 


182 

10 

21 

4 

4 

22 
30 

7 
27 
34 

37 
21 
13 
13 
24 

55 
9 
79 
36 
21 

90 
16 
13 

74 
22 

35 
34 
27 
92 
4.038 

231 
18 
2 

14 
162 

40 
30 
22 


50 

58 
54 
145 

1,751 
227 

122 

4,613 

42 

270 

120 

556 
336 
30 
351 
261 

110 
95 

58 
87 

75 

596 

105 
123 
76 
123 

102 
100 

13 
140 
172 

128 
136 
82 
79 
195 

354 
88 
481 
253 
107 

420 
77 
86 
170 
122 

149 
156 

129 

384 
5,968 

534 
68 
12 
90 

511 

333 
180 
119 


192 

245 
164 
648 

2,215 
1,129 

202 
8.011 

195 
1.219 

360 

1.520 
1.602 

122 
1.000 

528 

346 
360 
234 
898 
568 

1,139 
417 
477 
164 
370 

379 
220 
141 
559 
619 

381 
450 
328 
251 
572 

951 
663 

879 
438 

243 

1,126 
242 
586 

1,101 
287 

353 

837 

338 

979 

11,400 

1,278 

226 

98 

211 

1,532 

686 
500 
367 


13 

8 

51 

2,118 

74 

26 

4,228 

22 

468 

24 

325 
278 
10 
349 
132 

10 
116 

55 
198 
162 

151 
27 

188 
11 
31 

36 

7 

9 

132 

203 

41 
24 
59 
23 
35 

82 
93 
86 
61 

27 

327 
30 
70 
79 
33 

46 

83 

47 

130 

13,891 

304 

21 

9 

54 

642 

100 
113 
115 


89 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1987 — Continued 


City  by  Stale 


Population 


Cnme 
Index 
tola! 


Modified* 
Cnme 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
as-sault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


NEW  JERSEY— Continued 

Oakland  

Ocean  City 

Ocean  Township   

Old  Bndge 

Orange      

Palisades  Park 

Paramus  

Parsippany-Troy  Hills 

Passaic  

Paterson  

Pemberton  Township 

Pennsauken  

Pennsville  Township 

Pequannock  Township 

Perth  Amboy    

PhiUipsburg  

Piscataway  Township 

Plainfield 

Plainsboro  Township 

Pleasant  ville 

Point  Pleasant    

Pompton  Lakes 

Princeton  

Princeton  Township 

Rahway 

Ramsey     

Randolph  Township 

Rariton  Township 

Readington  Township 

Red  Bank  

Ridgefield  

Ridgefield  Park 

Ridgewood 

Ringwood 

River  Edge 

Rockaway  Township 

Roselle  

Roselle  Park 
Roxbury  Township 

Rutherford  

Saddle  Brook  Township 

Sayreville 

Scotch  Plains 

Secaucus 

Somers  Point  ...   . 

Somerville  

South  Brunswick  Township 

South  Orange    

South  Plainfield  

South  River  

Sparia  Township  

Springfield 

Stafford  Township 

Summit    

Teaneck  Township 

Tenafiy  

Tinton  Falls     

Totowa   

Trenton  


13.048 
15.535 

23.932 
56.292 
31.806 
13.582 
26.016 

49,617 
54.238 
140.080 
31.212 
34,534 

13,784 

13.572 
37.786 
16.170 

43.757 

46.294 
10.713 
14,368 
18.516 
11.065 

12.354 
14.267 
26.852 
13,240 
19,069 

11,840 
11.730 
11.790 
10.068 
12.303 

25.020 
13.361 
10.693 
19.744 
20.630 

13.159 
19,915 
18,596 
13,864 
34.544 

21.737 
15.364 
10.672 
11.619 
22,553 

15.817 
20.469 
13.562 
14.508 
14.126 

12.928 
21.133 
38.652 
13.391 
10.028 

11.307 
91.783 


330 
1.689 

1,444 
1,742 
3,767 
313 
4.310 

1.728 
3.848 
12.215 
1.473 
2.239 

477 
360 

1,904 
550 

1.632 

3.714 
421 

1.123 
737 
250 

946 
405 
1.047 
580 
597 

297 
210 
668 
282 
256 

275 

193 

294 

1.190 

1,085 

372 
660 
466 
686 
1.032 

496 
1.411 
526 
444 
691 

1.160 

1.006 

222 

333 

378 

387 
625 
1.359 
270 
395 

916 
11.615 


331 
1.691 

1,449 
1,768 
3.800 
313 
4,340 

1.735 
3.855 
12.270 
1.485 
2.253 

484 
362 

1,930 
553 

1.643 

3.734 
422 

1.139 
741 
250 

946 
405 
1.049 
582 
599 

297 
210 
670 
283 
257 

276 

193 

295 

1.193 

1,107 

372 
663 
468 
689 
1.045 

498 
1.412 
528 
448 
698 

1.162 

1.010 

222 

341 

379 

390 
626 
1.363 
270 
401 

916 
11.642 


20 

17 

312 


43 

19 

351 

1.249 

24 

78 

1 

3 

97 

7 
27 

390 

2 
62 

2 


91 


3 

5 

26 


9 

1,061 


10 

23 

14 

113 

289 

1 

71 

27 

188 

1.160 

110 

80 


3 
117 
28 
163 

171 
10 

125 
12 

4 

1 

5 
23 
11 

4 

6 

10 

30 

2 

17 

9 

7 

13 

24 

1 


101 


27 


8 
1.021 


59 
325 

233 
424 
653 
85 
207 

390 
734 
2.931 
652 
459 

43 
49 
531 
135 
375 

1,008 

87 

288 

125 

36 

291 
176 
202 

73 
97 

25 
29 
97 
61 
52 

32 

43 

54 
119 
256 

57 
102 
64 
75 
181 

72 
70 

122 
88 

186 

209 
132 
73 
58 
30 

64 
160 

256 
92 
75 

55 
2,842 


250 
1.308 

1,089 
1,000 
1.395 
172 
3.311 

1,089 
1,586 
4,770 
541 
1.031 

398 
285 
743 
360 
940 

1.756 
297 
564 
565 
189 

599 
207 
634 
444 
480 

246 
152 
493 
166 
156 

207 
137 
210 
869 
487 

221 
500 
332 
529 
568 

349 
1.004 
361 
314 
409 

555 
783 
117 
247 
230 

288 
395 
866 
159 
271 

709 
4,532 


II 

20 

84 

179 

1.088 

55 
668 

166 
967 
2.006 
123 
584 

24 
19 

392 
19 

114 

362 
24 
62 
33 
21 

25 
15 
140 
47 
13 

17 
15 
35 
49 

25 

20 
6 

12 
169 
256 

81 
29 
51 

72 
176 

46 
300 
25 
20 
55 

321 
56 
17 
10 

113 

20 
60 
108 
18 
18 

134 

2.056 


90 


ble  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,   1987 — Continued 


City  by  Slale 


Population 


Cnme 
Index 
total 


Modified* 
Cnme 
Index 
total 


Murder 
and  non- 
negligenl 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary' 


Larceny- 
theft 


Motor 
vehicle 
theft 


NEW  JERSEY— Continued 


ion  City 

ion  Township 

itnor  City 


non  Township 

Vona 

V  eland 

Vjrhees  Township 

»ldwicli 


Vliington 

Vll  Township 

i|naque 

¥rren  Township 

Vshinglon  Township  (Bergen  County) 

Vshington  Township  (Gloucester 

ounly) 

V^hmgton  Township  (Morris  County) 
\  vne  Township 

^  .'hjv\ken  Township 

'.  ,1  Caldwell    .'.: 


S  :i   Deptford  Township.. 

\  .ilield    

V  .1  Milford  Township    . 
V.t  New  York 

V  ,1  (Vange 


V  ,t  Paterson 

V  .t  Windsor  Township 
V.iwood  

V  lingboro  Township 

V  islow  Township    


V  Ddbridge  Township 

V  3dbury 

«;kofr 


mogordo 
uquerque. 

esia 

Isbad 


NEW  MEXICO 


nmg 

mington 

lup 

Cruces 

Vegas  City  . 


Alamos., 
ington ..... 
tales 

Rancho 
.well 

er  Ctly 


NEW  YORK 


•any    ,   ,      , 
herst  Town 

sterdam 

3urn  

avta     


56.171 
51,137 
11.750 

19.241 
14.196 
54.007 
19.593 
10,521 

10.521 
19.986 
10,662 
10,229 
10,209 

33.134 

14,438 
49,737 
13,310 
11,568 

18,596 
30,507 
25,251 
41,048 
41,028 

11,478 
10,521 
10,985 
39,287 
25,422 

94,159 
10,481 
15,676 


28,311 
371,756 
11,779 
28,230 
34,241 

11,485 
39,583 
22,777 
54,828 
15.833 

18,448 
11,961 
10.319 
26.882 
44.712 

11.343 


97,309 
104,189 
20,822 
31,443 
15,977 


4,227 

3,498 

446 

611 

315 

4,280 

1,277 

176 

331 
595 
193 
201 
96 

1,218 

277 
3,695 
1,041 

246 

593 

747 

674 

2,365 

1,545 

708 
642 
343 
1,853 
906 

4,669 
609 
281 


1,813 

37,008 

506 

1,893 

1,928 

813 
2,794 
3,012 
5,621 
1.414 

389 
579 
599 
717 
3,093 

870 


6.144 
3,140 

365 
1,717 

678 


4,228 

3,508 

448 

614 
316 

4,331 

1,285 

179 

332 
605 
196 
205 
96 

1,230 

282 
3,703 
1.042 

247 

593 

748 

684 

2.368 

1,547 

711 
642 
343 
1,858 
927 

4,711 
610 
281 


1.817 

37.199 

511 

1,895 

1.938 

820 
2,817 
3,020 
5,635 
1,419 

390 
579 
600 
718 
3,101 

873 


6,209 
3,155 

365 
1,719 

680 


1 
48 

1 
1 

I 

6 
6 
I 


36 


10 


2 

211 

2 

3 

28 

1 
27 
25 
31 

6 


180 

93 

4 

2 

4 

105 

24 


15 

987 

1 

19 

23 

3 
36 
51 
65 
16 

1 
3 
4 
1 
33 


335 

36 

5 

12 

3 


185 
52 
19 

11 

23 

255 

15 

8 

4 
11 
13 

9 

3 

28 

12 

32 

64 

5 

7 
7 

23 
131 

52 

24 

4 

3 

66 

62 

99 
19 
9 


93 

2,599 

10 

74 

104 

45 
149 
207 
193 
187 

32 
20 
90 
65 
148 


45 


417 

180 

17 

16 

3 


853 

396 

91 

72 

57 

984 

146 

15 

77 
117 
38 
42 
24 

249 

60 
310 
196 

35 

70 
91 

184 
405 
391 

53 
107 

71 
816 
248 

761 
115 
39 


462 
9,965 
104 
466 
389 

156 
534 
372 
1,415 
368 

46 
137 
120 
226 
716 

195 


2,046 
472 
119 
265 

12 


1,927 

2,030 

318 

505 
197 
2,597 
919 
147 

176 
422 
136 
139 

54 

799 

195 

2.456 

606 

189 

439 
612 

418 

1,165 

784 

507 
505 
243 
815 
502 

2,673 
403 
220 


1.161 

20,913 

372 

1.274 

1,312 

553 
1,923 
2,181 
3,661 

772 

303 
401 
353 
390 
2,091 

592 


2,919 
2,193 

215 
1,396 

543 


1,059 

919 

U 

20 

34 

303 

172 

6 

70 
34 
6 
10 
14 

109 

9 

850 

144 

15 

68 

32 

44 

595 

271 

113 
22 
23 

100 
64 

1,079 
55 
12 


79 
2,285 
17 
56 
71 

54 
119 
170 
255 

63 

6 
16 
31 
33 
80 


29 


347 

252 

7 

24 

7 


91 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1987 — Continued 


City  by  Stale 


Population 


Crime 
Index 
total 


Modified* 
Cnme 
Index 

total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


NEW  YORK— Continued 


Beacon   

Bedford  Town 

Bethlehem  Town . 

Binghamton 

Brighton  Town... 


Buffalo       

Catnillus  Town 

Canandaigua 

Carmel  Town  

Cheelttowaga  Town.. 


Clarkstown 

Clay  Town 

Cohoes 

Colonic  Town.. 
Coming 


Cortland  

Depew  Village 

Dewitt  Town 

Dunkirk 

East  Aurora  -  Aurora  Town.. 

East  Greenbush  Town 

East  Hainpton  Town 

Elmira       

EndicotI  Village 

Evans  Town 


Fishkill  Town 

Floral  Park  Village. 

Fredonia  Village 

Freeport  Village 

Fulton 


Garden  City  Village.. 

Gates  Town 

Geddes  Town 

Geneva 

Glen  Cove 


Glens  Falls 

Glenvtlle  Town 

Gloversville 

Greece  Town  

Greenburgh  Town . 


Hatnburg  Village 

Hamburg  Town 

Harrison  Town 

Haverstraw  Town 
Hempstead  Village 


Irondequoit  Town 

Ithaca 

Jamestown 

Johnson  City  Village.. 
Kenmore  Village 


Kingston    

Lackawanna  

Lancaster  Village.. 

Lockport 

Long  Beach 


Lynbrook  Village 
Mamaroneck  Town  ,. 
Mamaroneck  Village  . 

Massena  Village 

Middletown 


13.741 
16,449 
26.067 
53,067 
34,894 

325,787 
23,670 
12,226 
29,046 
91,243 

77,103 
50,520 
17,171 
70.890 
11,996 

19,057 
19,398 
22,166 
14,764 
13,580 

13,490 
10,220 
32,547 
14,152 
16,058 

15,165 
17.021 
10,521 
40,440 
13,600 

22,176 
30,139 
11,243 
15,566 
24,122 

16,128 
21,063 
16,800 
84,491 
28.795 

10,611 
39,527 
22,988 
22,467 
42,857 

56,066 
26,559 
34.813 
16.509 
17,341 

24,242 
21,444 
13,450 
24,713 
32,988 

19,809 
11,661 
17,091 
12,317 
22.226 


470 

410 

549 

2,590 

1,122 

25,053 

429 

363 

526 

3.1 

1.924 
498 
472 

2,883 
415 

1,044 
654 

1,258 
806 
290 

410 
758 
2,382 
611 
438 

200 
341 
172 
2,185 
667 

652 
1,273 
249 
567 
618 

421 

358 

850 

2,925 

2,130 

216 

1,711 

516 

443 

3,139 

2,035 

2,174 

1,885 

951 

371 

1,190 
1,019 
296 
1,450 
1.330 

518 
365 
804 
453 
1.377 


478 
410 

553 
2.599 
1.127 

25.611 

429 

365 

531 

3,236 

1.928 
498 
488 

2.895 
415 

1.053 


817 
294 

412 

758 

2,398 

442 

201 

173 

680 


1,281 
249 
573 
618 

424 
362 

854 
2,928 
2,137 

217 

1,738 

516 

444 

3.150 

2.038 
2,186 
1.913 


371 


1.031 

1,451 
1,339 

519 
365 
804 
453 
1,389 


35 


22 
10 

268 

4 
7 

7 


1 

27 
27 

1,552 

7 

6 

3 

51 

35 

6 

16 

1 


1 

10 

155 
4 

15 

47 

4 


4 

2 

4 

36 

39 

I 
9 

6 

3 

315 

51 

25 

17 

2 

6 

27 
25 
1 
18 
45 

11 

8 
8 


II 

9 

21 

18 

9 

1,700 

7 

24 

34 

208 

79 


29 
24 
34 

26 
51 

7 
21 
12 

36 
36 

58 
16 
33 

15 

12 
11 

73 
9 

25 
6 

21 
49 

6 
21 
19 
13 
56 

19 

161 

6 

5 
411 

9 
59 
21 
34 
30 

162 
221 

28 
148 

28 

24 
8 
8 
4 

23 


179 
52 
163 
353 
204 

6.825 
38 
53 
113 

758 

362 

99 

148 

431 

50 

175 

88 

300 

193 

71 

78 
235 
389 

92 
110 

41 

54 

37 

460 

137 

150 
254 
56 
105 
176 

130 
77 
209 
334 
310 

46 

315 

89 

97 

706 

347 

479 

375 

97 

51 

187 
247 
72 
402 
343 

127 
75 
131 
106 
381 


232 
313 
354 
2.060 
840 

11.252 

364 

260 

337 

1.873 

1.307 
397 
246 

2,308 
309 

798 
485 
912 
567 
196 

274 

450 

1.828 

489 

275 

136 
213 
114 
1,214 
480 

375 
908 
183 
421 
310 

243 

232 

595 

2,420 

1,488 

142 

1,146 

346 

306 

1.479 

1.591 

1.538 

1.415 

808 

254 

753 
430 
178 
822 
764 

285 
234 
573 
328 
858 


92 


ble  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1987 — Continued 


City  by  Slate 


Population 


Cinme 
Index 
total 


Modified* 
Cnme 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


NEW  YORK— Continued 


unt  Pleasani  Town 
utit  Vernon 

h»'burgh     

^\■burgh  Town 

^A  Caslle  Town 


Hartford  Town  &  Village. 

Paltz  Town  &  Village 

Rochelle 

Windsor  Town 

'I'ork 


f  gara  Falls  

Mcayuna  Town 

f-th  Greenbush  Town  . 
f-th  Tonawanda 
Clen  Town 

C  iensburg    


C  an       

(Mda    

(  ngetown 

<  hard  Park  Town  . 


(  ining  Village 

<  'ego 

ikskill 

I  :tsburgh      

I I  Chester  Village 


1  ighkeepste 

I  ighkeepsie  Town.. 

]  napo  Town 

1  erhead  Town 

l:hester 


I  :k\il!e  Centre  Village 

I  Tie    

1  terdam  Town 

I:         

S  atoga  Springs 


S  gerties  Town    

i  rsdale  Village 

i  eneclady     

;  ithampton  Town.. 
!  'thporl  Town 


itig  Valley  Village. 
n>   Point  Town 

fern   Village  

at  use 

la\^a^da 


nawanda  Town 

'y  

iter  Town 


ica 

stal  Town 

illkill  Town    

iterlown       

irwtck  Town  

;bster  Town  and  Village 
est  Seneca  Town 


hite  Plains. 

inkers  

irktown 


23,979 
68,604 
24,443 
22.406 
16.058 

20,882 
10,652 
69,376 
23,259 
7.284,319 

64.742 
18.625 
10.391 
34.643 
14,694 

12,307 
17,482 
10,481 
35,877 
23.420 

21.333 
18.966 
19.478 
20.862 
22.928 

30.079 
39.407 
58.565 
21.995 
236.672 

25.526 
42.155 
28.996 
15.015 
24.433 

14.804 
17.713 
67.410 
33.971 
10.471 

21.755 
13.009 
11.033 
161,228 
18,294 

66,708 
54,121 
12,457 
69,647 
27.482 

21.785 
27.120 
15,466 
29,096 
49.306 

45.475 
186.634 
33.479 


414 
3.951 
3,248 
1.323 

201 

448 

377 

2.558 

856 

656.505 

4.124 
777 
199 
954 
335 

432 
898 
511 
599 
797 

793 
855 
806 
773 
1,119 

2.039 

1.895 

1.283 

968 

23.187 

846 

1.349 

777 

450 

1.815 

289 

349 

3.327 

1.585 

49 

1.753 

191 

305 

13.278 

451 

1,784 
2.956 

458 
2,669 

493 

364 

1.240 

158 

728 

1,621 

2,987 

10,172 

1,001 


414 
3.971 
3.309 

203 

450 

382 

2.573 

870 

662,954 

4.142 

199 
959 


432 
901 
515 
600 
804 

798 

806 

1,121 

2.057 

1,284 

23,480 

849 

782 

451 

1,824 

289 

349 

3,347 

49 

1,765 

196 

315 

13.420 

456 

1.792 
2.966 

460 
2.675 

494 

367 

160 

1.647 

2.988 

10.242 

1.017 


3 

1,672 

4 

1 


7 

3 

3,507 


17 
5 
2 
5 
165 


4 

307 

265 

25 

1 

3 

4 

138 

16 

78.890 

197 
5 
1 
7 
1 


2 

2 
3 
2 

41 
5 

43 
5 

43 

184 

18 

23 

33 

1,021 

33 

22 

5 

3 

14 


136 

19 


84 

2 

2 

494 

3 

13 

83 

2 

120 


3 
6 

83 

638 

9 


22 
300 
369 

22 
4 

2 

45 

89 

67 

64.244 

158 
28 
16 
22 
10 

1 

3 

3 

65 

50 

78 
20 
26 
45 
31 

50 
73 
50 
121 
1,278 

12 

21 

32 

6 

228 

6 

2 
35 
44 


98 

4 

2 

563 

51 

105 

82 

10 

39 

3 

5 

21 

2 

8 

67 

43 

280 

15 


90 

842 

1,041 

236 

47 

70 

81 

552 

218 

123,412 

1,172 
129 

68 
241 

70 

105 
115 

82 
94 
181 

205 
162 
263 
184 
158 

552 
261 
371 
357 
5.418 

141 

434 

156 

78 

298 

115 

89 

1.291 

562 

2 

442 

50 

94 

4.721 

89 

462 

873 

124 

1,045 

89 

55 
244 

51 
116 
345 

298 

2.216 

137 


256 

1.835 

1.344 

958 

135 

367 

231 

1.348 

488 

289.126 

2.297 
596 
100 
636 
245 

308 
752 
402 
404 
533 

406 
619 
423 
510 
761 

1.124 

1,471 

748 

430 

14.093 

556 
867 
547 
322 
1.217 

147 

251 

1.585 

842 

47 

1.010 
125 
189 

6.836 

275 

1.062 
1.678 

303 
1,273 

381 

287 

930 

94 

576 

1.054 

2.297 

5.349 

799 


41 

639 

198 

81 

13 

6 
16 

421 

64 

95.654 

265 

14 

12 

41 

9 

17 
26 

22 
28 
29 

59 
46 

43 
28 
122 

112 
65 
88 
22 
1.183 

103 
1 
37 
41 
44 

19 

7 
251 
112 


99 

8 

18 

563 

31 

139 
215 

19 
175 

20 

17 
34 
11 
21 
145 

262 

1.647 

41 


93 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1987 — Continued 


Ciey  by  State 

Population 

Cnme 
Index 
total 

Modified* 
Cnme 
Index 
total 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
thefl 

Motor 
vehicle 
theft 

Arson* 

NORTH  CAROLINA 

Albemarle 

14.869 
15.983 
61.065 
10.746 
37.303 

31.773 
33.971 

356.596 
20.358 

115.344 

15.790 
76.744 
12.914 
53.529 
35.440 

178.921 
39,238 
23,863 
16,347 
26,081 

67,416 
29,150 
32,503 
25,372 
12,276 

14,362 
15,659 
19,376 
18,130 
15,618 

19,254 
182,750 
12,458 
15.295 
48.739 

24.531 
18.201 
15.233 
19.548 
10.372 

15.689 
55.130 
149,984 

47,475 
17.116 
67.220 
44.560 
15.545 

15.584 
35.428 
11.128 
15.407 

227.552 
23.758 

706 
926 

5.248 
534 

1.956 

1,108 
2,182 

39,609 
1,135 

10,528 

864 
9,090 

614 
5,341 
2,807 

11,725 

3,136 

394 

2,024 

1,933 

5,703 
2,781 
1,187 
2,200 
1,128 

1,284 
1,055 
1.768 
1.235 
818 

1.497 

12.669 

465 

706 

4.187 

1.644 
1.466 

993 
1,517 

797 

1,207 
6.297 
13,562 

2,577 

614 

3,865 

2,478 

675 

602 

1,557 

447 

708 

18,152 
2.006 

709 
928 

5,257 
534 

1.964 

1.109 
2.185 

39.943 
1,148 

10,570 

872 
9,157 

615 
5.391 
2,820 

11,810 

3,158 

394 

2,036 

1,946 

5,737 
2,787 
1,191 
2,212 
1,141 

1,293 
1.065 
1.776 
1.238 
822 

1.505 

12.737 

467 

707 

4.194 

1.660 
1.470 
1,002 
1,519 
800 

1,209 
6,331 
13,772 

2.579 

625 

3.865 

2.481 

689 

606 

1.565 

450 

709 

18.354 
2.028 

1 
1 
9 
1 
6 

52 
4 
14 

5 
3 
25 
3 
8 

1 

7 

308 

4 

70 

4 

73 

28 
8 

81 
18 

3 
6 
19 

23 
9 
6 

15 

3 

10 
5 

10 
5 
2 

16 

78 
4 

2 
19 

5 
6 
6 
8 
8 

4 
28 
103 

2 

7 
8 
6 
1 

3 

4 
7 

129 
4 

8 
9 

93 
1 

25 

8 

28 

1.486 

19 

307 

3 

338 

6 

121 

72 

310 
86 

5 
28 
32 

123 
47 
17 
66 
24 

19 
14 
32 
28 
8 

35 
384 

8 

1 
89 

46 
18 
19 
30 
12 

14 
202 
365 

12 

1 

12 

8 
4 

1 
2 
1 

704 
71 

64 
28 

219 
39 

106 

29 

79 

4.146 

76 

320 

103 
762 
32 
411 
204 

671 
166 
30 
135 
132 

437 
184 

98 
154 

59 

66 
70 
153 

183 
53 

103 

647 

35 

29 

214 

111 
155 
69 

37 
73 

68 

240 

2.077 

17 
16 

26 
26 

4 

6 
6 
6 

2 

1,292 
129 

184 
166 
1,396 
108 
425 

158 

604 

10,117 

270 

2.973 

183 
2.494 

141 
1.424 

837 

2.534 
716 
130 
662 
444 

1,274 
551 
252 
665 
248 

241 
349 
415 
329 
134 

356 

3.240 

102 

132 

1.135 

468 
320 
233 
231 
164 

377 
1.729 
3.543 

419 
116 
447 
387 
101 

103 
164 
77 
51 

4.073 
444 

425 
674 

3.216 
363 

1,296 

869 

1,375 

21,723 

704 

6,312 

540 
4,880 

396 
3,079 
1,572 

7,655 
2,016 
200 
1,099 
1,211 

3.568 
1.881 

763 
1.251 

757 

896 

570 

1.080 

648 

582 

929 

7.640 

299 

529 

2.561 

951 
915 
627 
1.140 
506 

688 
3.818 
6.801 

2.035 

461 

3.164 

1,940 

527 

469 

1,326 

341 

630 

10,346 
1,295 

19 
45 
290 
19 
90 

43 

89 

1,777 

58 

532 

31 
529 

39 
274 
105 

456 
132 
26 
91 
93 

274 

105 

51 

45 

34 

50 
43 
76 
42 
37 

57 

665 

17 

12 

163 

57 
51 
37 
67 
33 

55 
273 
651 

92 

13 

208 

108 

37 

23 
56 
18 
18 

1,587 
62 

Asheville 

' 

Burlington 

Cary                                           .        

' 

Chapel  Hill                       

Charlotte     

331 

Concord 

Durham 

Eden 

i: 

4)1 

Fayetleville 

Gamer 

14 

4 
9 

18 
2 

3 

2 

4 
4 

4 
3 

2 
4 
2 

6 

51 

Goldsboro 

1.. 

Greensboro 

8 
2 

Havelock 

1 
1 

High  Point 

3 

Kannapolis  

1 

Laurinburg 

Lenoir 

1 

1 

Morganton 

2 

1 
15 

Raleigh     

6 

Reidsville                                    

Roanoke  Rapids              

1 
6 

6 

1 

2 
4 
1 

1 

7 
22 

Salisbury 

1 

Shelby 

Statesvtlle 

Tarboro  

Thomasville 

Winston-Salem     ...                     ... 

3 
211 

NORTH  DAKOTA 

1 

3 
1 

Grand  Forks    

1. 

, 

1 

West  Fargo 

Williston  

21 

1 

OHIO 

Alliance 

2o; 
r. 

94 


ible  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1987 — Continued 


City  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 


OHIO— Continued 


/hiand  .... 
/htabula  . 


/lens  

/on  Lake 

|-bcrton 

J^  Village 

livercreek  Township  . 


(iford 

llford  Heights. 

I'ea 

liley 

!,e  Ash 


Idling  Green 

Icksville     

Iiadview  Heights  .... 
I  lokfteld  Township.. 
I  lok  Park 


1  inswick 
i  :yrus 

<  nbridge 

<  iton 

<  iterville 


(  llicothe 

<  cinnati 

i  cleville 

<  veland 

(  veland  Heights 


)  umbus 

i  meaut 

i  ^ahoga  Falls . 

1  ylon   

1  lance 


I  aware 

I  hi  Township 

1  t  Cleveland 

I.tlake     

1  ria  


1  »lewood    

l;lid      

I  rborn  

Irfield  

I  rview  Park  . 

I  est  Park 
I  inklin 

l-mont 

i  hanna 

t  lion     


*rfield  Heights   ,. 

(■ard      

t  shcn  Township 

<eenville     

love  City  


ncaster 

>erty  Township. 


10.595 
19.718 
22,689 

21,057 
13,409 
28.541 
17,580 
35,233 

14.967 
12,411 
19.111 
13.628 
10,837 

24,581 
10,677 
10,876 
10,956 
25,417 

28,728 
13,415 
13,022 
89.363 
19,637 

23,911 
371,585 

11.901 
548,171 

57.106 

567,800 
13,408 
42,542 

181.698 
16.147 

19.449 
30.085 
36.805 
22.197 
57.362 

11.152 
58.158 
28,737 
32,581 
18,546 

18,483 
10,659 
17,369 
20,282 
12,011 

33,794 
12.830 
13,165 
12,596 
17,494 

64,157 
27,932 
34.813 
13.409 
46.186 

73.006 


458 

442 

1,586 

904 
218 

1,701 
163 

1,042 

695 
473 
535 
625 
569 

1.174 
119 
158 
213 
929 

511 
537 
735 
5.838 
665 

2.544 

27.197 

624 

45.408 

1.909 

51.941 

454 

1,743 

19,683 
872 

884 
530 

2.563 
607 

2.494 

478 
2.393 

986 
1.842 

538 

629 
618 
640 
702 
523 

938 
275 
308 
626 
845 

5.499 
1,147 
1.960 
824 
3.509 

2.191 


458 

442 

1,616 

904 
219 

1,730 
168 

1,048 

698 
475 
540 
627 
572 

1,175 
120 
162 
213 
934 

512 
540 
735 
5.931 
673 

2.547 

27.751 

626 

46.365 

1.909 

52.772 

455 

1.772 

20.015 
876 

890 
532 

2.582 
619 

2.523 

480 
2,396 

986 
1,847 

542 


618 
661 
709 


940 
275 
311 
631 
847 

5.584 
1.157 


3.562 
2.197 


12 
1 

3 
69 

145 
1 

85 

1 

35 

I 


75 
1 

14 

344 

3 

750 

1 

534 

10 

242 
1 

12 
2 

24 
5 

26 


18 

4 
1 

2 

374 

II 

46 

1.183 

2 

3.541 

43 

2,864 

3 

33 

1,595 
3 

14 

5 

217 

II 

43 

7 
61 
13 
17 

6 

13 
9 
11 
15 
17 

21 
2 
4 
4 

10 

120 
20 
21 
19 

107 

55 


80 
66 

69 

10 

131 

5 


1 

212 

13 

70 
1,571 

17 

2,528 

3 

1,898 

20 

110 

907 

24 

20 

3 

106 

18 

67 

50 
41 
25 
58 
9 

9 
14 
33 

8 
13 

57 
8 
1 
8 

11 

445 
36 

235 
14 

275 

79 


28 

47 

380 

92 
26 

297 
49 

134 

72 
73 
100 
167 
65 

225 
22 
28 
69 

146 

83 

91 

142 

1.448 

77 

603 

5.733 

168 

13.163 

252 

14.218 

91 

311 

5.329 

124 

179 
60 
717 
135 
676 

42 
444 
149 
375 
122 

80 
144 
155 
136 
110 

254 
67 
43 

130 
92 

1.410 
217 
313 
116 

1.016 

766 


403 

291 

1.023 

692 

174 

1.129 

100 

846 

494 
226 
328 
396 
478 

879 
84 

103 
92 

546 

362 
410 
560 
3.350 
526 

1.736 

17,055 

405 

14,773 

1,203 

28,786 

304 

1,177 

10,310 
698 

625 
443 
869 
377 
1,440 

368 
1,495 

755 
1,300 

349 

507 
412 
418 
521 
360 

445 
160 
238 
466 
675 

3,197 
804 

1,316 
484 

1,996 

1,101 


15 
21 
89 

46 

7 
96 

7 
35 

95 
125 
79 
24 
10 

26 
10 
18 
27 
209 

40 
21 
30 
367 
36 

72 

1,242 

29 

10,508 

406 

3,556 

36 

101 

1,265 

21 

34 
17 

626 
61 

242 

10 
342 
41 
84 
50 

II 

38 
21 
18 
21 

154 
38 
22 
17 
52 

255 
52 
73 

190 
78 

157 


95 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1987 — Continued 


Cily  by  Slale 


Population 


Cnme 
Index 

lotal 


Modified* 
Cnme 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robtiery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


OHIO—Continued 

Lyndhurst 

Madison  Township  (Lalce  County) 

Madison  Township  (Montgomery  County) 
Mansfield 


Maple  Heights 

Marietta 

Marion 

Mason 

Massillon 


Maumee   

Mayfield  Heights.. 

Mentor     

Miamisburg 

Miami  Township 


Middleburg  Heights  . 

Middletown 

Montgomery 

New  Philadelphia 

Niles 


North  Canton 

North  College  Hill- 
North  Olmsted  

North  Ridgeville 

Norton 


Norwalk   

Norwood 

Parma  

Parma  Heights    ,,,. 
Perkins  Township.. 


Perrysburg  

Piqua 

Portsmouth 

Randolph  Township. 

Reading    


Reynoldsburg 

Salem 

Sandusky  

Seven  Hills 

Shaker  Heights 


Sharonville 

ShelTield  Lake 

Solon 

South  Euclid  ... 
Steubenville 


Stow 

Strongsville 

Sylvania     

Sylvania  Township . 
Tallmadge  


Toledo 

Troy 

Union  Township  (Butler  County) 
Union  Township  (Clermont  County) 
University  Heights 


Upper  Arlington 
Urbana 

Vandalia     

Vermilion   

Wadsworth 


16.942 
15,604 
22,082 
52,041 

28,788 
16,558 
35,934 
10,199 
30,893 

16,316 
20,262 
42,982 
16,243 
17,822 

15,441 
43,921 
11,223 
17,069 
22,534 

14,903 
10,830 
36,128 
21,916 
11,991 

14,526 
25,458 
90,494 
22,785 
10,431 

10,728 
20,123 
24,519 
12,470 
12,426 

22,457 
12,658 
30,688 
13,228 
31,546 

10,678 
10,462 
15,747 
25,210 
24.412 

25.829 
31,222 
15,895 
18.948 
14,406 

344.963 
19.432 
26.530 
30.001 
15.536 

36.174 
10.979 
12.740 
11.236 
15.109 


246 

497 

1.603 

4.023 

1.031 
502 

2.648 
327 

1.787 

927 

754 

1.686 

1.116 

698 

798 

2.526 

359 

538 

1,216 

278 
407 
1,448 
458 
282 

464 

1,106 

2,305 

418 

581 

243 

1.091 

1.440 

235 

415 

1.260 
374 

2.073 
141 

1.812 

1.132 
201 
522 
656 

1,333 

879 
954 
629 
1.023 
553 

29.356 

631 

1,205 

2,038 

380 

1,155 
528 
510 
337 
329 


250 

499 

1,610 

4,047 

1,032 
509 

2.656 
327 

1.809 

927 
760 

1.139 
708 

801 

2.551 

360 

539 

1,216 

278 
407 
1,470 
462 
283 

464 

1,111 

2,335 

430 

581 

244 
1.094 

236 
416 

1.271 
377 

2.087 
143 

1.829 


203 
534 
664 


887 
963 
631 
1.025 
556 

29.756 

638 

1.214 

2.047 

383 

1. 161 
528 
526 
338 
340 


3 
1 
5 
9 
3 

360 
4 

4 
II 
5 

5 
7 
I 
I 
5 


48 
128 

26 
4 

46 
3 

43 

3 

12 
21 
15 

6 

10 

28 

4 

3 

12 


38 

2 

107 

13 
3 
3 

II 

51 

13 
5 
II 
18 
3 

1,299 

5 

7 

22 

4 

6 
4 
II 


26 

46 

400 

12 
21 
32 
25 
139 

6 

5 

II 

25 

49 

18 
38 
2 
20 
86 

24 
18 
14 

7 
7 


9 

106 

22 

10 

1 
5 
55 
6 
6 

40 
44 
106 
9 
40 

15 
45 
10 
5 
63 


21 
20 

1,075 

15 

28 

119 

12 

45 
31 
13 


46 

83 

318 

1,070 

221 
153 
621 
39 
367 

157 
72 
252 
200 
122 

120 

551 

57 

85 

177 

64 
65 

179 
110 
70 

69 
259 
495 
124 

32 

41 
176 
512 
73 
42 

216 
33 

490 
34 

587 

226 
24 
100 
117 
464 

163 
296 
97 
154 
151 

6,964 

127 

229 

193 

54 

146 
82 
82 
61 
52 


175 

360 

1,111 

2,199 

570 
283 

1.866 
241 

1,158 

714 
559 
1.263 
780 
484 

493 
1.781 
283 
402 
757 

181 
303 
980 
300 
171 

374 
722 
1,363 
220 
513 

192 
852 
764 
142 
326 

928 

280 

1,330 

85 

725 

811 
126 
349 

425 
684 

668 
580 
490 
756 
342 

16,736 

459 

881 

1,564 

249 

927 
382 
372 
248 
242 


21 
25 
69 
190 

197 
35 
72 
13 
65 

44 
106 
137 
82 
32 

153 
99 
II 
25 

181 


5 

251 

34 

27 

19 

83 

279 

41 

18 

7 
41 
75 
11 
36 

51 
15 
83 
11 
349 

59 
2 
60 
96 
65 

24 
65 
18 
65 
34 

2,889 

20 

54 

127 

56 

26 
22 
31 
19 
25 


96 


ible  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,   1987 — Continued 


City  by  Slate 


Population 


Cnme 
Index 
total 


Modified* 
Cnme 
Index 
total 


Murder 
and  non- 
negligent 

tnan- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


OHIO — Continued 

'irren  

'irrensville  Heights 

ishington  Court  House 

»t  Carrollton 

slet^ille 

'^tlake 

ckltfTe 

Iloughby 

Imington... 

roster 

}nhington 

nia 

'Ungstown 

nesville 


OKLAHOMA 

la 

dmore 

illesville 

thany 

jken  Arrow 

ickasha 

iremore 

nton 

1  City 

mean 

irant 

mond 

(  City 

Reno 

id      

ithine 

wton 

;Alester 

lami 

idwest  City 

Dore 

uskogee 

ustang 

)rman 

clahoma  City 

imulgee 

inca  City 

nd  Springs 

pulpa 

iBwnee 

illwater 

ihlequah 

jlsa 

Ilage 

arr  Acres 

eatherford  

'oodward 

ukon  


OREGON 


Ibany ... 
shiand . 


54.218 
16.401 
12,677 
13.310 
24,952 

21,575 
16,005 
19,833 
10,587 
19.526 

18,777 
24.165 
108,364 
28,421 


16,837 
24.795 
29,705 
21,697 
49,225 

16,481 
16,124 
10.037 
25.855 
22,063 

13,115 
50.462 
11.858 
16.600 
49,838 

12.125 
81,988 
18.629 
14,056 
52,927 

41,435 
42.048 
10.868 
77,593 
441,408 

15.679 
27,903 
14,630 
19,995 
27.290 

36,258 
12,799 
369,961 
12.165 
10,532 

11,027 
14.442 
24.776 


29,301 
15,832 


3,168 

1,083 

745 

794 

1,180 

585 
383 
878 
310 
1,022 

633 
1,381 
7,091 
2,072 


1,167 
1,974 
2,271 
1,327 
1.920 

1.375 

772 

741 

2,120 

1,201 

1,264 

2,015 

565 

719 

3,917 

837 
6.512 
1.164 

901 
4,718 

2,793 

3.561 

419 

4,926 

56.057 

1.372 

1.073 

890 

975 

2.538 

1.636 

586 

36.513 

1.007 
983 

386 
475 
913 


1.787 
792 


1.096 
747 
795 

1.191 

593 
386 
888 
312 
1.026 

640 
1,389 
7,109 


1,175 
1,981 
2,291 
1,329 
1.932 

1.382 

773 

747 

2.138 

1.208 

1,266 

2.029 

568 

725 

3,940 

846 
6.551 
1,167 

902 
4.734 

2,810 

3,582 

421 

4,938 

56,462 

1,381 
1,080 
902 
1,011 
2,559 

1,643 

594 

36,736 

1,013 

984 

391 

486 
918 


1,808 
796 


5 
3 

10 
3 

15 

5 

4 
2 
9 
1 

3 
12 

6 
24 

9 
57 
2 
4 
18 

6 
22 

3 

33 

381 

12 

14 

3 

1 

5 

6 

2 

234 

10 

1 


148 

42 

4 

12 

17 

6 
7 
8 
4 
5 


13 

351 

52 


4 
33 

1 
15 
55 

14 

150 

19 

9 

79 

28 

74 

3 

45 

1,322 

28 
2 
14 
12 
29 

10 
12 
1,074 
22 
17 

3 
1 

7 


28 


269 
29 
24 
29 
62 

20 
7 
II 
14 
10 


29 
786 
119 


87 
106 
55 
25 
87 

62 
60 
43 
54 
40 

96 
29 
22 
35 
192 

100 
385 
53 
22 
55 

97 

141 

4 

85 

2,047 

105 
30 
12 
18 
99 

58 
23 
1,786 
54 
12 

5 
33 

7 


1,133 
308 
196 
148 
219 

121 
68 

157 
26 

150 

78 

167 

2,356 

555 


353 
368 
467 
285 
494 

383 
170 
192 
694 
340 

248 
528 
143 
168 
1,136 

265 

1,986 

321 

171 

1,065 

713 

974 

129 

1,349 

17,345 

443 
230 
229 
247 
828 

287 
147 
9,504 
205 
236 

111 
102 
191 


490 

168 


1.277 
465 
485 
533 
843 

371 
239 
623 
254 
783 

500 
1.126 
2,315 
1,268 


660 
1,347 
1,652 

901 
1,171 

828 
455 
466 
1.055 
761 

845 

1,265 

376 

424 

2,385 

386 

3,612 

674 

650 

2,909 

1,769 

2,014 

251 

3,062 

28,159 

660 
742 
548 
608 
1.402 

1,183 

357 

18,322 

617 

640 

251 

312 
630 


1,103 
528 


269 

224 

30 

67 

36 

65 
61 
74 
12 
62 

35 
41 

1,212 
69 


56 
132 

65 
106 
132 

85 
73 
24 
262 
51 

67 
148 
22 
70 
122 

62 

316 

94 

45 

588 

177 

332 

29 

349 

6,755 

124 
55 
84 
87 

174 

90 

45 

5,558 

99 

77 


133 
61 


97 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1987 — Continued 


City  by  State 


Population 


Cnttie 
Index 
total 


Modified* 
Cntne 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


OREGON— Continued 


Beaveilon  . 
Bend 
Coos  Bay 


Corvallis 

Eugene 

Forest  Grove.. 
Grants  Pass.... 
Gresham 


Hermiston 

Hillsboro 
Keizer 

Klamath  Falls 
Lake  Oswego 


Lebanon 

McMinnville . 

Medford 

Milwaukie 

Newberg 


Ontario 
Oregon  City 

Pendleton 

Portland 
Roseburg 

Salem 
Springfield 
The  Dalles 

Tigard 

Tualatin 


West  Linn  . 
Woodburn  . 


PENNSYLVANIA 

Abington  Township 

Allentown 

Altoona 

Aston  Township 

Beaver  Falls 

Berwick 

Bethlehem 

Bethlehem  Township 

Bloomsburg  Town 

Bristol 

Butler 

Butler  Township 

Cain  Township 

Cariisle     

Cheltenham  Township 

Coal  Township 

Coatesville 

Columbia 

Cranberry  Township 

Cumru  Township  

Derry  Township  

Doylestown  Township 

Dunmore 

East  Hempfield  Township 

East  Norriton  Township 

East  Pennsboro  Township 


34,652 
19,184 
16,631 

40.266 

106.430 

11,924 

17,387 
39,226 

10,369 
31,229 
20,325 
18,497 
25.010 

10,652 
15,276 
44,002 
18,134 
11,419 

10,198 
14,953 
14,418 
390,845 
16,316 

94,838 
38,771 
10,491 
19,517 
11,106 

13,429 
11,843 


58,911 
104,771 
53,369 
15,521 
11,154 

15,360 
70,617 
12,951 
11,595 
10,581 

16,495 
17,659 
10,581 
20,059 
36,232 

10,581 
11,445 
11,274 
12,901 
15,551 

17,659 
12,619 
16,244 
17,750 
13,433 

14,085 


2,592 
1,763 
1,338 

2,284 

10.419 

864 

1,974 

3,276 

666 
1,536 
1,120 
1,754 
1,068 

1,083 

1.11 

3.885 

957 

613 

847 
1.214 

809 

64,80, 

1,604 

9,319 

3,573 

925 

1,664 

776 

461 
1,228 


1,990 

6, 1 1 3 

1,847 

241 

331 

246 
2,627 
286 
371 
626 

520 
364 
490 
761 
2,231 

137 
512 
468 
244 
520 

575 
283 
347 
484 
464 

320 


2,601 
1,765 
1,347 

2,311 

10,458 

871 

1,988 

3,300 

667 
1,550 
1,126 
1,764 
1,085 

1,090 

1,120 

3,897 

961 

616 

849 
1,219 

812 

65,281 

1,610 

9,369 
3,590 
930 
1,67 

778 

463 
1,234 


1,998 

6,151 

1,! 

244 

335 

250 
2,631 
288 
377 
634 

521 
364 
492 
769 
2,252 

137 
514 
476 
247 
521 

575 
287 
350 
487 
464 

321 


3 

10 

3 

407 

4 

54 
21 


59 
13 
12 

12 

161 

8 

15 

no 


2 
15 

6 

3,667 

33 

203 

47 

7 

51 

9 


42 

207 

25 

3 

17 

1 

66 

4 

1 

49 


13 

8 

33 

19 

166 

12 

23 

114 

1 
5 

14 
62 
14 

24 
10 
69 
6 
37 

19 
95 
28 
4,623 
18 

57 

103 

22 

16 

3 

2 
16 


78 
184 
48 
25 
26 

6 

83 

14 

9 

30 

30 
6 

37 
41 

27 

1 
38 
30 


650 

227 
319 

514 
2,459 

235 
428 


154 
446 
214 
416 
326 

181 
232 
795 
296 
128 

110 
195 
200 
15,185 
286 

2,082 
998 
222 
406 
182 

137 
332 


262 

1,648 

552 

39 

117 

75 

546 

38 

72 
176 

113 
48 
71 
150 
368 

11 
88 

128 
45 

102 

65 
56 
49 
91 
78 


82 


1,733 
1,441 


1,643 
7,035 
560 
1,418 
1,799 

484 
947 
795 
1,182 
672 

824 
825 
2,770 
528 
407 

689 

825 

529 

35,695 

1,169 

6,488 
2,212 

620 
1,111 

548 

302 
814 


1,344 

3,739 

1,136 

144 

143 

142 
1,811 
222 
277 
328 

353 
285 
358 
536 
1,443 

116 
318 
280 
172 
382 

471 
205 
257 
367 
340 

214 


133 
70 
81 

87 

547 

45 

86 

348 

25 
90 
64 
65 
45 

38 
43 
170 
102 

33 

24 
74 
43 
5,159 
94 

433 
191 
45 
76 
33 

15 

52 


258 

299 

62 

30 

23 

17 

103 

7 

10 

43 

15 
24 
19 
21 
300 

9 
39 
18 
15 

20 

13 
14 
32 
19 
25 


98 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,   1987 — Continued 


Cily  by  Slalc 


Population 


Crime 
Index 
total 


Modified* 
Cnme 
Index 

total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny - 
theft 


Motor 
vehicle 
theft 


PENNSYLVANIA— Continued 

Ephrata 

Erie 

Exeter  Township 

Fariview  Township 


Falls  Township 

Greenville 

Hanover 

Hanover  Township 

Haveiford  Township  . 


Hennitage 

Horsham  Township  . 

Indiana        

Jeannetle 
Johnstown 


Lancaster 

Lancaster  Township. 

Lansdowne , 

Logan  Township 


Lower  Allen  Township 
Lower  Mernon  Township 
Lower  Southampton  Township 
Manhetm  Township 
Manor  Township 

Meadville    

Millcreek  Township  

Monessen 
Moon  Township 
Morrisville 


Murrysville 

Newberry  Township. 

New  Castle 

Newtown  Township.. 

Norristown 


North  Huntingdon  Township 
North  Middleton  Township   . 

Oil  City 

Palmer  Township 
Peters  Township 

Philadelphia 

Phoenixville 
Pittsburgh 
Plains  Township 
Plymouth  Township 


Pollstown 

PottsvtUe 

Radnor  Township 

Reading    

Richland  Township 

Ridley  Township 
Roslraver  Township 
Salisbury  Township 
Scott  Township 
Sharon 

Springettsbury  Township 

Spnngfield  Township  (Delaware  County) 

Springfield  Township  (Montgomery 

County) 

State  College 

Stroud  Township  


12,318 

115,724 

15,481 

13,071 

36,543 
11,144 
15,461 
12,348 
52,114 

16,756 
19,356 
14,868 
12,318 
31,965 

57,425 
11,515 
11,716 
12,439 

15.491 
59.975 
19,306 

27,428 
13,583 

14,156 
45,348 
10,471 
20.611 
10.270 

16.264 
11,656 
30,771 
12,168 
33,913 

.30,128 
10,933 
13,021 
14,417 
13.794 

1,649,364 

14,045 

389,015 

11,254 

16,615 

23,743 
17,117 
29,496 
77,926 
13,242 

33,652 
11,194 
13,091 
18,683 
16,214 

20,591 
25,028 

19,768 

44,705 
10,059 


382 

6,071 

410 

282 

1,323 
143 
536 
280 

732 

593 
632 
393 
227 
1,266 

3,386 
283 
194 
539 

545 
1,770 
578 
910 
284 

766 
1,155 
209 
590 
596 

298 
249 

1,273 
187 

2,062 

544 
121 
361 
459 
233 

94,575 
473 

30,836 
299 
958 

1,097 
523 
611 

5,397 
303 

604 
265 
203 

238 
749 

623 

758 

439 

1,933 
341 


382 

6,117 

410 

282 

1,353 
145 
538 
283 
733 

596 
646 
406 
235 
1,282 

3,406 

283 
195 
545 

549 
1,772 
580 
915 
284 

766 
1.167 
211 
590 
596 

305 
249 

1,293 
189 

2,068 

549 
122 
363 
459 
233 

95,931 
475 

31.251 
299 
960 

1,107 
527 
611 

5.458 
310 

610 

269 
203 
243 
772 

625 
758 

441 

1.938 
345 


338 

37 

1 

1 

1 
10 


1,102 

1 

263 

1 

1 

4 
3 
1 
43 
4 

6 

1 

1 

2 

2 
3 


1 

236 

4 

1 

22 

3 

7 


6 
41 

135 

3 
3 
7 

1 
45 
3 
5 
2 

9 
II 


39 

2 

108 

2 
1 

2 
3 

9,302 
9 

2.834 
2 
12 

40 

7 

7 

301 

3 

5 

1 

1 

10 

17 

2 
13 

11 

5 


330 
11 

7 

77 
5 

10 
2 

19 

18 

9 

28 

14 

132 

89 
7 
9 
5 

5 

13 
20 
15 
10 

16 
12 

27 
70 
16 

9 
7 

106 
4 

286 

29 
7 
6 
1 

19 

6,656 

23 

1,184 

7 

65 

84 
12 
16 

270 
52 

24 

12 

1 

9 
56 

5 
26 


35 

1,437 

83 

60 

334 
56 
80 
80 

116 

53 
95 
82 
62 
374 

717 
46 
52 
97 

82 
313 

95 
133 

52 

HI 
324 
46 
101 
123 

65 
56 

402 
20 

691 

113 
20 
79 
49 
30 

20.070 

123 

7,647 

69 

102 

201 
129 
64 

1,857 
48 

115 
50 
39 
52 

205 


94 

98 

185 
46 


319 
3,664 

287 
203 

692 
74 
426 
170 
537 

488 
463 
255 
118 
612 

2,228 
210 
121 
412 

442 
1,192 
397 
683 
212 

606 
728 
116 
3.39 
389 

197 
167 
623 
137 
833 

351 
86 
250 
399 
173 

41,784 
282 

11,723 
200 
629 

729 
352 
478 
2,596 
184 

359 
173 
155 
122 
418 

506 

452 

292 

1,689 
255 


23 

335 

22 

10 

188 
5 
17 

21 
52 

31 
56 
26 

25 
95 

183 
16 
8 
16 

13 

201 

61 

73 

7 

21 

77 
12 
68 
53 

20 
19 
96 
23 
129 

47 

7 

22 


15.323 

35 

7.148 

20 

148 

38 
20 
44 
320 
12 

95 

28 

7 

44 

50 

19 
170 

33 

32 
29 


99 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1987 — Continued 


City  by  Stale 


Population 


Crime 
Index 
total 


Modified' 
Cnme 
Index 
total 


Mtirder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


PENNSYLVANIA— Continued 

Sunbui^  

Towameticin  Township 

TredyfTnn  Township 

Uniontown 

Upper  Allen  Township 

Upper  Chichester  Township 

Upper  Dublin  Township 

Upper  Gwynedd  Township  

Upper  Providence  Township   

Upper  Saint  Clair  Township 

Upper  Southampton  Township , 

Washington     

Washington  Township 

West  Chester 

West  Manchester  Township 

West  MifTlin 

West  Nornton  Township 

Whitehall 

Whitehall  Township 

Whitemarsh  Township 

Whitpatn  Township 

Yeadon 

York 


RHODE  ISLAND 

Barnngton 

Bristol      

Burrillville 

Central  Falls 

Coventry  

Cranston  

Cumberland 

East  Greenwich  

East  Providence  

Johnston  

Lincoln 

Mtddletown 

Narragansett 

Newport       

North  Kingstown 

North  Providence 

North  Smithfield 

Pawtucket 

Portsmouth 

Providence 

Smithfield  

South  Kingstown 

Tiverton  

Warren  

Warwick     

Westerly      

West  Warwick 

Woonsocket 


SOUTH  CAROLINA 

Aiken  

Anderson    

Cayce 


11,726 
13,443 
25,319 
13,081 
11,766 

15,180 
22,518 
10,973 
11,053 
19,085 

16,525 
17.800 
10.019 
18,814 
13.121 

24,707 
15,380 
14,055 
21,775 
15,099 

14,386 
12.358 
44,605 


16,302 
20,522 
15,827 
17,223 
30,516 

74,595 
27,235 
10,671 
51,011 
26,183 

17,718 
17,982 
13.362 
29,637 
24,356 

29,359 
10.720 
73.462 
15,617 
158,978 

18.153 
21.464 
14.394 
11.414 
87.957 

19.825 
28.898 
45.479 


18.546 
29,081 
11,174 


475 
259 
897 
695 
139 

482 
369 
195 
86 
168 

352 
974 
199 
1,056 
740 

699 
494 
131 
1,243 
511 

359 

479 

3,125 


284 
446 
234 
645 
907 

3,232 

784 

298 

1,591 

1,414 

945 
738 
640 
2,291 
878 

1,286 
296 

3,305 

213 

19,082 

279 
588 
436 
289 
5,487 

707 
1,091 
1,743 


1.326 

2.059 

776 


482 
260 
903 
703 
140 

491 
371 
197 
87 
168 

352 
984 
206 
1,059 
744 

712 
497 
131 
1,250 
513 

361 

479 

3,171 


289 
446 
235 
645 
917 

3,237 

784 

300 

1.605 

1.426 

945 
738 
640 
2,298 
881 

1,302 
296 

3,306 

213 

19,405 

279 
588 
436 
291 
5,551 

707 
1.092 
1,759 


1.330 

2.070 

783 


35 


3 
I 
143 


6 
1 

35 

4 

10 

75 

735 

6 

2 

4 

3 

24 


11 

37 

6 

37 

22 

137 
20 
7 
38 
32 

1 
36 

7 
51 
46 

45 

11 

194 


901 

10 
3 
9 

10 
343 

3 
28 
100 


95 
143 
75 


84 
40 
193 
150 
33 

90 
68 
61 
31 
21 

91 
227 

43 
252 

94 

86 
110 

13 
163 
116 

65 
133 
927 


48 
168 
103 
269 
252 

904 
167 
109 
390 
413 

166 
141 
209 
457 

277 

389 

116 

967 

58 

5,499 

96 
171 
157 

60 
951 


204 
291 
554 


393 
508 
169 


347 
189 
627 
446 
91 

239 
235 
120 
42 
108 

217 
560 
143 
647 
622 

349 

320 

70 

1.004 

316 

256 

224 

1.805 


215 
216 
104 
221 
588 

1,722 
519 
161 
948 

728 

549 
503 
387 
1,555 
504 

603 
145 

1.563 
132 

8,109 

114 
380 
231 
186 
3,153 

448 
648 
852 


738 

1,234 

459 


100 


95 
3 

U 

67 

; 

16 

i 

230 

i: 

31 

; 

38 

42 

-, 

59 

: 

19 

; 

70 

143 

40 

9 

. 

18 

20 

104 

39 

11 

402 

76 

13 

^ 

192 

1'- 

230 

i: 

779 

44 

V 

182 

' 

45 

- 

226 

If 

74 

500 

1 

71 

3.720 

323 

50 

31 

35 

26 

2 

983 

64 

43 

109 

1 

194 

16 

57 

4 

110 

11 

56 

7 

T<ible  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1987 — Continued 


Cily  by  Stale 


Population 


Cntne 
Index 
total 


Modified* 
Cnme 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


SOUTH  CAROLINA— Continued 

Charleston 

Columbia 

Conway 

Easley 

Florence 

Gaffney    

Goose  Creek 

Greenville 

Greenwood 

Greer 

Hanahan  

Lancaster 

Laurens 

Mount  Pleasant 

Myrtle  Beach 

Newberry 

North  Augusta 

North  Charleston 

Orangeburg 

Rock  Hill 

Simpsonville 

Spartanburg 

Summervilie 

Sumter 

Union 

West  Columbia  


SOUTH  DAKOTA 

Aberdeen ...s... 

Brookings  

Huron  

Mitchell    

Rapid  City 


Sioux  Falls . 
Watertown  . 
Yankton 


Athens 
Bartlett      .  , 
Brentwood 
Bristol 
Brownsville 


TENNESSEE 


Chattanooga 
Clarksville 

Cleveland  

CoUierville .... 
Columbia 


Cookeville 
Dyersburg  -- 
East  Ridge  . 

Franklin  

Gallatin  


Germantown 

Greeneville 

Henderson  ville . 

Jackson     

Johnson  City 


69,863 
94.320 

13.719 
17,319 
32,113 
13,749 
25.370 

59,186 
22,541 
13,223 
13,902 
10,251 

10,718 
22,378 
28.371 
10.109 
16,518 

62.288 
15.635 
42.516 
12.817 
44.828 

17.410 
29.142 
10.353 
11.397 


25.735 
14,838 
12,271 
13,655 
52,614 

97.608 
16,712 
1 1 ,609 


12,272 
23,159 
12,747 
23.714 
10,341 

163.929 
61.389 
26.424 
10.048 
28.476 

24,179 
15.840 
21,036 
18.701 
19.560 

29,557 
15.021 
30.497 
53.383 
45,185 


4,789 
11,819 

804 
624 
2,663 
789 
605 

6,146 

1,649 

924 

509 

1,032 

579 

1,239 

4.027 

437 

580 

6,788 
1,547 
4,106 
361 
4.795 

1,229 

2,394 

230 

1.120 


1.165 
523 
447 
889 

3.848 

4.163 
690 

442 


447 
749 
268 
1.017 
420 

14.589 

2,854 

1,333 

423 

1,296 

780 

986 

1,208 

1,062 

962 

564 

632 

942 

4,826 

2,322 


4.805 
11.860 

807 
624 
2,679 
794 
608 

6,186 

1.657 

930 

519 

1,033 

581 

1,240 

4,029 

438 

583 

6,833 
1,562 
4,122 
363 
4,815 

1.243 

2.407 

233 

1,123 


1,168 
525 
448 
897 

3,864 

4.199 
690 
443 


451 
749 
269 
1.024 
420 

14.711 

2,870 

1.337 

425 

1.305 

781 

987 

1.210 

1.064 

965 

564 
632 

4.864 
2.334 


1 
3 

121 

31 

8 

4 

4 

3 
4 
5 
9 
4 


191 
396 


162 
29 

17 
8 
19 

6 
16 
76 

4 
17 

300 

53 

69 

2 

85 

24 

47 

1 

25 


6 
14 

2 
12 

6 

552 

58 

14 

3 

12 

6 
12 
20 
35 
16 

6 

5 
9 

157 

27 


444 
990 

103 
48 

242 
72 
18 

550 

292 

77 

22 

148 

56 

46 
90 
69 
55 

618 

144 

374 

19 

475 

80 
265 

44 
102 


20 
38 
17 
36 
47 

1.394 

258 

87 

31 

64 

36 
88 
43 
119 
105 


1.067 
2.684 

115 
119 
557 
168 
105 

1.216 
290 
213 
144 
170 

146 

290 

1,120 

67 

148 

1.467 

416 

903 

66 

1.181 

262 

499 

52 

247 


124 

467 

50 


217 

83 

204 

108 

3.445 

791 

412 

66 

301 

254 
181 
233 
311 
178 

95 

164 

240 

1,043 

538 


2.797 
6.988 

531 
399 
1,667 
481 
456 

3.912 
973 
551 
289 
655 

345 
836 
2,502 
271 
332 

3,869 
849 

2,592 
255 

2,807 

780 

1.485 

121 

670 


22 

154 

937 

5 

61 

424 

4 

83 

333 

19 

217 

632 

168 

612 

2.840 

129 

780 

3.045 

13 

99 

556 

6 

56 

358 

292 
423 
149 
720 
233 

7.255 

1.523 

683 

294 

845 

412 
666 
786 
523 
603 

436 
409 
526 

2.874 
1.557 


241 
669 

45 
39 
109 
51 
13 

259 
44 
55 
33 
29 

20 
44 
226 
18 
23 

459 
67 

143 
19 

201 

61 

78 
9 

74 


41 
31 
25 
17 
151 

137 
16 
15 


44 
55 
17 
42 
23 

1.796 
190 
127 
25 
69 

69 
35 
120 
64 
54 

21 
54 
33 
244 
135 


101 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1987 — Continued 


City  by  Slate 


Population 


Cnine 
Index 
total 


Modified" 
Cnme 
Index 
total 


Murder 
and  non- 
negligenl 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


TENNESSEE— Continued 


Kingsport 

KnoxvtUe  

Lawrenceburg 

Maryville 

McMinnville. 

Memphis 

Millington 

Morristown 

Muifreesboro 

Nashville 

Oak  Ridge 

Red  Bank 

Shelbyville 

SmytTia     

Spnngfield 

Tullahoma 

Union  City.... 


TEXAS 

Abilene 

Alice 

Allen 

Alvin 

Amarillo 


Andrews  -- 

Angleton 

Arlington 

Athens 

Austin 


Balch  Springs 

Bay  City 

Baytown  , 

Beaumont 

Bedford 


Beeville 

Bellaire 

Belton 
Benbrook    - 
Big  Spnng 


Borger    

Brenham  

Brownfield-.. 
Brownsville,. 
Brownwood  . 


Bryan 

Burkbumett . 

Burleson 

Canyon 

Carrollton.... 


Cedar  Hill 

Cleburne  

College  Station ., 

Conroe       

Copperas  Cove . 

Corpus  Christi 

Corsicana 

Dallas 
Deer  Park 


31.811 
175.089 
11.069 
18.256 
10.907 

659.720 
18.397 
19.863 
41.404 

487.097 

27.212 
13.050 
13.778 
13.758 
10.907 

16.962 
10.573 


113.161 
22.624 
15.438 
19.524 

166,914 

13,788 
15.801 

251.372 
11.272 

469.542 

19.565 
19.484 
68.205 
120,669 
33,604 

15,428 
14,593 
12,942 
19,283 
26.650 

16.082 
13.104 
10.618 
102.765 
18.840 

62.619 
10.970 
17,139 
11.322 
62,357 

12.550 
23,137 
46.204 
20,933 
21,094 

265,593 

23,792 

1.009.947 

25.543 


2.352 

11.728 

359 

534 

381 

63.824 

565 

1,053 

2,477 

43,001 

1.270 
458 
508 
585 
547 

642 

755 


7.518 

2.205 

647 

1.269 

12.949 

259 

803 

20,232 

1,109 

44,338 

1,604 
1,810 
4.362 
12,965 
2,783 

586 
722 
817 
726 
1,748 

553 

628 

630 

10,023 

1,503 

4,435 
352 
804 
220 

5,416 

897 
1,462 
3,517 
1,954 
1,333 

25,440 

2,260 

164,452 

709 


2,368 

11,870 

367 

535 

387 

64,555 

565 

1,064 

2,486 


1,278 
459 
514 
585 

'547 

643 

774 


7.539 

2.208 

648 

1.280 

13.047 

262 
803 

20.282 
1.113 

44,579 

1,627 
1,819 
4,402 
13.026 
2,787 

588 
727 
818 
731 


557 

630 

634 

10,035 

1,510 

4,448 
352 
812 
224 

5,424 

898 
1,470 
3,519 
1,966 
1,348 

25,550 

2,278 

165,395 

711 


143 
2 


20 

5 

323 


831 
2 
12 
12 

509 


32 
5 
I 
6 

71 

1 

7 

92 

1 

284 

7 

1 

14 

138 

13 


13 
6 
16 

166 

8 

1,260 

1 


28 

439 

4 

6 

2 

4,696 

23 

8 

42 

2,350 

22 
6 

2 

U 
19 


198 

10 

5 

II 

250 


7 

511 

11 

985 

18 

18 

130 

462 

31 

5 
24 

6 
23 
25 

4 
6 
2 
127 
15 

55 
1 

14 
1 

63 

II 

9 

27 

48 

9 

391 

24 

9,091 


115 
831 

20 
1 

43 

3,163 

96 

39 

197 

2,295 

93 
16 
15 
28 
79 

9 
38 


326 
46 
19 

42 
503 

22 

26 

791 

44 

1,005 

36 
179 
129 
661 

25 

106 
12 
13 

17 
233 

21 
24 
46 
1,060 
65 

235 
19 
16 

7 
77 

29 
28 
74 
114 
36 

1,248 
43 

9,412 
15 


328 
4.008 
109 
153 
107 

18,451 
115 
325 
472 

11,358 

268 
126 
199 
213 
115 

194 
150 


2,607 
723 
185 
270 

3,200 

62 

194 

4,749 

527 

11,417 

426 

497 

1,289 

4,338 

431 

138 
195 
274 
176 
464 

100 
131 
168 
2,142 
356 

1,547 

98 

242 

38 

1,517 

395 
144 
906 
475 
406 

6,477 

582 

39,237 

267 


1,776 

4,854 

190 

308 

194 

22,971 

271 

555 

1,582 

22,602 

830 
276 
246 
292 
314 

363 
526 


4,099 

1,361 

412 

863 

8,396 

167 
531 

11,769 
494 

28,486 

992 
1.054 
2,296 
6,758 
2,038 

315 
432 
496 
428 
959 

397 

439 

392 

5,610 

1,017 

2,350 
209 
454 
163 

3,449 

405 
1,195 
2,351 
1,099 

821 

16,086 

1,509 

85,255 

365 


96 

1,490 

34 

66 

27 

13,569 

56 

114 

170 

3,788 

49 
28 
37 
38 
17 

63 

22 


251 
59 
24 
77 

511 

7 
38 

2,302 
32 

2,122 

124 

60 

499 

590 

245 

21 

57 
24 
76 
54 

30 
23 
19 

1,006 
32 

206 
24 
73 
II 

293 

55 
86 
145 
208 
45 

1,052 

89 

19,874 

53 


102 


'Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,   1987 — Continued 


City  by  State 


Population 


Cnme 
Index 
total 


Modified' 
Cnme 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


TEXAS — Continued 


34,923 

24,798 
55,514 
25,603 
12,459 
13,083 

35.305 
26.056 
31.762 
10.970 
494.954 

13,546 
29,357 
29,599 
14,814 
432,305 

12,389 
23,701 
14,241 
10,104 
60,596 

177,642 
15,328 
96,495 
21,125 
24,808 

16,545 
33,654 
55,333 
12,037 
14,925 

1.739,999 

12,298 

33,644 

35.375 

129.354 

11,201 
12.973 
10,688 
20,018 
12,289 

59,942 
28,783 
20.873 
15.700 
11.866 

20,561 
25,191 
117.811 
25,251 
11,986 

14,865 
27,807 
10,165 
74,344 
187,596 

32,286 
12,731 
24,365 


1,962 

2,636 

6,438 

2,016 

584 

317 

2,206 

1,205 

1,740 

683 

42,078 

928 

2,470 

2.317 

1.131 

77.563 

917 
591 
930 
222 
7,163 

10,917 

693 

8,733 

1,426 

2,992 

741 
3,576 
4,164 

950 
1,176 

163,428 

2.121 

1,980 

3.047 

13.939 

429 
793 
247 
866 
1,156 

5,277 

2,230 

777 

895 

841 

1,624 
893 

8,767 
855 
955 

569 
4,007 

340 
5,422 
18,594 

2,459 
1,140 
1,239 


1,967 

2,669 

6,438 

2,022 

586 

317 

2,230 

1,205 

1,761 

683 

42,219 

929 

2,483 

2,327 

1,143 

77,997 

923 
597 
940 
229 
7.202 

10.991 

694 

8.736 

1.427 

2,994 

743 
3.585 
4,173 

952 
1,180 

165,181 

2,129 

1,981 

3,051 

14,006 

430 
795 
248 
868 
1,156 

5,344 

2,240 

779 

895 

842 

1,647 
910 

8,815 
879 
957 

579 
4,038 

343 

5,443 

18,656 

2,461 
1,140 
1.252 


1 
135 


3 
5 
1 
1 

323 

1 

4 
14 


5 
2 
2 
2 
219 

1 

17 

4 

11 

476 


1 

1 

3 

63 

114 

2 

41 

6 

10 


1,172 

3 

11 

6 

86 


15 

1 

46 

130 

20 
4 


44 

49 

35 

5 

1 

47 

2 

24 

2 

969 

6 

44 

52 

57 

3,270 

17 

1 

7 

4 

331 

214 
10 

214 
13 
58 

10 
46 
48 
10 


9,692 

38 

31 

64 

250 

5 

10 
3 

7 
17 

126 

23 
7 
18 

2 

32 

10 

121 

II 

3 


90 
359 


91 

225 

247 

18 

32 

1 

26 

32 

53 

29 

3,119 

6 
151 

52 

32 

3,810 

22 

25 

18 

2 

364 

225 
34 

430 
33 

569 

15 
37 
88 
52 
228 

7,784 

40 

131 

81 

386 

17 
35 
9 
87 
97 

114 

68 

7 

13 

40 

17 

43 

415 

9 

13 

22 

42 

19 

105 

594 

186 

45 
106 


453 

611 

1,511 

608 

263 

50 

643 
201 
535 
159 
10,459 

267 
572 
566 
356 
20,567 

228 

174 

277 

53 

1,876 

3,357 
142 

1,942 
286 
650 

237 
955 
1,000 
240 
159 

44,601 

321 

383 

505 

2,913 

84 
186 

70 
195 
292 

1,499 
749 
115 
263 
233 

556 

261 

1,903 

257 
179 

114 
1,061 

106 
1,416 
5,891 

462 
303 
272 


1,308 

1,594 

4,307 

1,146 

227 

260 

1,284 

924 

1,020 

470 

24,594 

564 
1,464 
1,452 

556 
38,492 

586 
344 
525 
146 
3,986 

6,287 
480 

5,029 
980 

1,585 

446 

2,141 

2.804 

614 

732 

71.206 
1.412 
1.334 
2,100 
8,786 

282 
523 
138 
533 
661 

3,260 

1,333 

620 

533 

554 

861 
496 
5,718 
500 
682 

403 

2,534 

210 

3,464 

10,783 

1,649 
704 
771 


87 

158 

299 

207 

55 

5 

200 

43 

105 

19 

2,693 

80 

219 

191 

118 

10,813 

55 
46 

102 
14 

522 

715 

25 

1,071 

108 

113 

33 

372 

217 

33 

43 

28,650 

307 

89 

287 

1,504 

41 
37 
26 
39 
79 

216 
45 
27 
58 
12 

156 

73 

591 

71 

77 

20 

320 

3 

295 

813 

110 
79 
55 


103 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1987 — Continued 


City  by  State 


Population 


Cnme 
Index 
total 


Modified* 
Cnme 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


TEXAS— Continued 


McAllen  - 
McKinney.. 


Mercedes 

Mesquite 

Midland   

Mineral  Wells  . 

Mission     


Missouii  City  .... 
Mount  Pleasant . 

Nacogdoches 

Nederland 

New  Braunfels  .. 


North  Richland  Hills.. 

Odessa 

Orange 

Palestine 

Pampa 


Paris 
Pasadena . 
Pearland  .. 

Pecos 

Pharr 


Plainview 

Piano 

Port  Arthur.. 

Portland 

Port  Lavaca  . 


Port  Neches 

Raymondville    . 

Richardson 

Richland  Hills 
Richmond 


Robstown 

Rockwall   

Rosenberg...... 

Round  Rock.. 
Rowlett 


San  Angelc... 
San  Antonio.. 

San  Benito 

San  Juan  

San  Marcos.. 


Seguin 

Sherman 

Snyder 

South  Houston . 
Stephenviile 


Sugar  Land  

Sulphur  Springs.. 

Sweetwater 

Taylor 

Temple 


Terrell 
Texarkana   ., 
Texas  City  ., 
The  Colony , 
Tyler 


Universal  City 
University  Park, 


83,834 
20.702 

13.999 
89,269 
98,689 
15,609 
31,430 

32,225 
11,896 
28,532 
16,837 
28,099 

44,242 
101,859 
24,355 
19,565 
21,698 

26,378 
118,807 
17,129 
13,305 
26,086 

22,685 
111.742 
62,760 
12,530 
12,037 

14,080 
10,195 
78.551 
10.054 
16,878 

13.305 
10,698 
22.433 
22,081 
12,178 

86,813 
920,215 
21,809 
11.171 
28.874 

20,591 
31,732 
13,979 
14,543 
12,872 

21,980 
14.492 
12,550 
11.715 
46,879 

14,563 
33,342 
42.521 
27,656 
75,924 

12,741 
24,848 


8.682 
1.549 

688 

10.787 

4.807 

990 

1,491 

1,615 
706 

1.527 
887 

1.976 

2,865 
10,229 
2,693 
1,657 
1,412 

3,256 

8,558 

997 

597 

2,230 

1,752 

6.240 

5,073 

499 

579 

479 
348 
5,020 
532 
550 

776 

555 

2,086 

1,514 

678 

5,174 

118.948 

1.256 

490 

2,001 

2.033 

4,373 

271 

874 

801 

329 
671 
620 
715 
3,766 

1,015 

3.756 
3,690 
1,039 
9,947 

805 
1,107 


8,710 
1.549 


10,815 

4,828 

990 

1,493 

1.634 

715 
1.536 

888 
1.981 

2.879 
10,286 
2.715 
1.665 
1,416 

3.277 
8.673 
1.001 
599 
2.246 

1.764 

6.268 

5.111 

499 

580 

480 

5.044 
533 
557 

777 

555 

2.139 

1,518 

680 

5,174 

119,812 

1,257 

493 

2,017 

2,047 

4,382 

272 

875 

805 

333 
682 
622 
724 
3,786 

1,016 

3.791 
3.731 
1.039 
9.993 

812 
1,118 


174 
1 


15 

17 

27 

4 

4 

4 

1 

II 

1 

5 

2 
5 
19 
27 
4 

16 

849 

15 

2 

28 


84 

27 

10 

188 

97 

5 

14 

27 
17 
39 
12 

25 

66 

103 

89 

19 

7 

31 

133 

5 

9 

17 

11 

76 

206 

3 

5 

5 

3 

73 


38 
11 

5 

33 

3,253 

14 

3 

45 

17 
81 

2 
22 

3 

2 
13 

7 

16 
83 

37 
72 
92 
6 
149 

9 
30 


293 
67 

52 

365 

305 

24 

68 

54 
27 

144 
13 

183 

72 
386 
113 
130 
162 

348 

563 

33 

54 

128 

102 
57 

285 
11 
29 

7 
26 
72 

6 

42 

38 
17 
180 
66 
13 


1.816 

48 

11 

125 

129 

103 

13 

20 

13 

5 
35 
87 
32 

72 

54 
164 
145 

13 
340 

28 
6 


1.757 
390 

235 

2,386 

1,726 

337 

377 

627 
206 
355 
151 
568 

757 
2,895 
829 
402 
358 

631 
1.895 
237 
175 
599 

393 

1.572 

1.673 

138 

143 

98 

160 

1,182 

142 

205 

296 
152 
444 
306 
250 

1.252 

33.041 

379 

112 

381 

628 
970 
29 
174 
204 

83 
170 
107 
212 
786 

213 
1.076 
1.047 

304 
2.592 

184 
183 


5.770 
946 

355 

6.638 

2.346 

541 

941 

746 
424 
892 
670 
1,105 

1,637 
6,433 
1,576 
1,020 
831 

2.060 

4,987 

610 

347 

1,341 

1,180 

4,145 

2,656 

326 

383 

346 

147 

3,356 

319 

262 

415 

307 

1,331 

1.051 

368 

3.444 

66,198 

743 

336 

1,316 

1,177 

2,966 

198 

480 

553 

210 
384 
387 
434 
2,595 

640 
2,271 
2,179 

679 
6,337 

536 
829 


750 
100 

31 

1,175 

287 

81 

87 

151 
30 
80 
36 
93 

314 

364 

62 

64 

44 

159 
930 
108 
9 
137 

48 

373 

217 

17 

15 

18 
II 

323 
55 

24 

19 
64 
72 
53 
38 

133 

13,617 

56 

26 

105 

72 
244 

21 
175 

26 

24 
61 
30 
19 

172 

63 
147 
210 

36 
460 

47 
58 


104 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns   10,000  and  over  in  Population,   1987 — Continued 


Cily  by  Slate 


Populalion 


Cntne 
Index 
total 


Modified* 
Cnme 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
then 


Motor 
vehicle 
theft 


TEXAS— Continued 


Uvalde 

Vernon... 

Victoria.. 


Vidor 

Village 

Waco  

Watauga 

Waxahachie . 


Weatheiibrd 

Weslaco 

West  University  Place.. 

White  Settlement 

Wichita  Falls 


UTAH 


American  Fork, 

Bountiful 

Brtgham  City  .... 

Cedar  City 

Centerville 

Clearfield 


Kaysville.. 

Lay  ton 

Logan  

Midvale  ... 
Murray  .... 


North  Ogden 

Ogden 

Orem 

Pleasant  Grove. 

Provo 


Roy 

Saint  George 
Salt  Lake  City  . 

Sandy        

South  Ogden 


South  Salt  Lake. 

Spanish  Fork 

Sprtngvtlle 

Tooele 

West  Jordan 


West  Valley. 


VERMONT 


Barre 

Bennington  . 
Brattleboro  . 
Burlington  .. 
Colchester... 


Essex 

Rutland 

South  Burlington 
Springfield 


VIRGINIA 


Alexandria      

Alexandria  State  Police.. 

Arlington  

Arlington  State  Police  ... 
Blacksburg 


16,757 
13,426 
57,003 

12,329 
21,286 
105,895 
20,340 
18,347 

17,351 
24,567 
13,426 
18,005 
100,581 


15,405 
34,815 
16,293 
12,489 
10,835 
22.870 

12,479 
35.591 
29.135 
11.491 
23.939 

10,754 
68,086 
62,134 
17,201 
78,164 

23,707 
19.975 
159,839 
68.025 
12.348 

12.449 
11.006 
13.417 
15,899 
44,832 

91,571 


10,198 
16.640 
12.609 
38,799 
14,776 

15,617 
18,311 
11,566 
10,107 


109.985 


161,917 

30,996 


558 

605 

4,784 

543 

279 

12.223 

746 

1.525 

1,160 
1,982 
562 
1.151 
8,983 


693 
1,178 
583 
342 
372 
843 

500 
1,891 
1,355 
1,149 
3,251 

203 
6,649 
2.912 

450 
3,428 

1.089 

1,242 

20.873 

2.720 

712 

1,930 
591 
533 
599 

1.699 

5.5 1 3 


326 

715 
1,001 
4.475 

604 

813 
1,273 
1,231 

337 


7,427 
10 

8.684 
17 

1.355 


559 

616 

4,799 

545 

283 

12.259 

748 

1.539 

1,164 
1,986 

562 
1,154 
9,099 


695 
1,180 
589 
342 
372 
853 

500 
1,906 
1.355 
1.150 
3.255 

203 
6.649 
2.912 

451 
3.428 

1.092 

1,243 

20,979 

2,725 

712 

1,935 
591 
533 
601 

1,699 

5,555 


7,479 
10 

8,779 
17 

1,365 


28 


7 
14 

57 

1 

1 

264 

II 

25 

9 
9 
6 

17 
265 


92 
4 
2 

13 

5 

5 

482 

13 

1 

17 
I 

1 


419 


360 
1 

2 


53 

64 

355 

24 

3 

606 

28 

59 

46 

77 

2 

19 

305 


38 
39 
9 
17 
30 

22 
33 
28 
16 
50 

16 

129 

90 

12 

138 

77 
18 
501 
89 
29 

21 
3 
6 

12 
1 

113 


211 

4 

296 


110 

158 

1,265 

147 

78 

3,646 

207 

392 

274 
512 
155 
201 
2,533 


86 
218 
67 
53 
101 
100 

76 
279 
115 
200 
449 

10 

1.052 

306 

96 

633 

114 
141 
3,997 
598 
195 

354 

82 

80 

138 

265 

886 


1.308 

1.417 

198 


359 

345 

2.935 

341 
167 
7,150 
444 
904 

758 

1,301 

330 

808 

5,325 


570 
869 
457 
256 
239 
672 

384 
1,517 
1,163 

850 
2,620 

173 
5,053 
2,418 

308 
2,529 

869 

1,015 

14,863 

1.927 

457 

1,411 
486 
432 
421 

1,379 

4,171 


16 

58 

231 

19 

140 

521 

24 

175 

752 

25 

1,079 

3,146 

6 

194 

381 

12 

186 

566 

34 

298 

832 

8 

156 

1,034 

15 

61 

246 

4.300 
5 

5.449 
6 

1.071 


27 
21 
150 

29 

30 

465 

54 
137 

67 
82 
67 
104 
471 


27 
39 
16 
17 
15 
33 

18 
45 
42 
58 
99 

4 

268 

84 

28 

105 

22 

58 

923 

79 

24 

115 
18 
10 
25 
49 

272 


16 

29 

42 

182 

19 

42 
91 
29 
II 


1,138 
I 

1.114 

2 

40 


105 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1987 — 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 


Bnslol  

Bristol  State  Police 

Charlotlesville 

Chesapeake 

Chesapeake  State  Police.. 


Christiansburg 

Colonial  Heights 

Colonial  Heights  State  Police 

Danville 

Fairfax  City 


Fairfax  City  Slate  Police 

Fredericksburg  

Fredericksburg  State  Police 
Front  Royal 
Hampton  . 


Hampton  State  Police 

Harrisonburg       

Harrisonburg  State  Police 

Hemdon 

Hopewell 

Leesburg 

Lynchburg  

Lynchburg  State  Police 

Manassas 

Martinsville 


Newport  News 

Newport  News  State  Police 

Norfolk 

Norfolk  State  Police 

Petersburg  


Petersburg  Slate  Police... 

Poquoson  

Portsmouth 

Portsmouth  State  Police 
Radford 

Radford  State  Police 

Richmond 

Richmond  State  Police  ... 

Roanoke 

Roanoke  State  Police 


Salem 

Salem  State  Police. 

Staunton 

Suffolk 

Vienna 


Virginia  Beach 

Virginia  Beach  State  Police 

Waynesboro 

Williamsburg        

Williamsburg  State  Police... 

Winchester 

Winchester  State  Police 


WASHINGTON 


Aberdeen 
Anacortes 
Auburn 
Bellevue     ... 
Bellingham.. 


18.355 


41,933 
137,124 


12,417 
17,039 


45,606 
20,303 


19,895 


12.345 
128,554 


27.547 


17,120 
24,589 

11,029 
69,378 

20,507 
19,079 

164,978 

280,370 

40,607 


10.305 
113,250 

13,978 

222.113 
103,966 


24,180 


21.936 
52.340 
17,508 

340.158 


18,467 
11.631 


21.630 


17,115 
10,139 
30,365 
82,309 
45,721 


757 

3 

3,071 

6,597 

11 

531 

468 

2 

1,644 

1,327 

1 

1,134 

19 

592 

7,491 

4 
1,190 

2 

588 

1,089 

404 

3,460 

4 

869 
1,181 

7,912 

6 

20,732 

43 

3,121 

31 

169 

7,890 

8 

135 

1 

18,564 

41 

7,594 

7 

912 
1 

774 

2,472 

613 

18,703 

30 

668 

606 

1 

1.348 


1,889 
501 
3,122 
5,091 
3,876 


762 

3 

3,097 

6,671 

11 

534 

468 

2 

1,660 

1,338 

1 

1,135 

19 

601 

7,548 

4 
1,193 

2 

590 

1,121 

404 

4 

869 

1,186 

7.969 

6 

20.956 

43 

3,138 

31 

170 

8,072 

8 

135 

1 

18,685 

41 

7,665 

7 

915 

1 

782 

2,485 

619 

18,855 

30 

680 

607 

1 

1,353 
3 


1,900 
503 
3,153 
5,133 
3,915 


29 


10 


73 


181 

27 


182 

1 

28 


6 

21 

2 

124 
1 
3 


72 
202 


30 


3 
199 


243 


1,007 

1 

158 


1 
332 


1,083 


182 


6 
78 
10 

322 

1 

5 

19 


19 


26 

1 

155 

299 

3 

18 
9 
1 

34 


36 

5 
20 
172 


56 

7 
262 

6 

85 

419 

902 

13 

201 

29 

32 

380 

6 


1,271 


206 
3 


38 
214 

5 

261 

g 

25 

10 


154 

565 

1,781 

2 

107 

57 

278 
151 


140 

6 

124 

1,235 


208 


98 
271 


38 
488 


133 
258 


1,765 


4,645 

1 

712 


28 
1,783 


4,143 

5 

1,764 


125 

176 
669 
108 

4,045 

1 

97 

63 


169 


395 

73 

817 

1.066 

713 


527 

2 

2,102 

3,970 

5 

373 

369 

1 

1,262 

1,045 

1 

838 

6 

397 

5,507 

3 
926 

1 
445 
704 

334 

2,494 

4 

638 

752 

4,928 

4 

12,713 

2! 

1,893 

2 

103 

4,876 

2 

98 

1 

9,969 

24 

5,167 

3 

716 

1 

525 

1,370 

442 

13,181 

17 

503 

493 


1,076 

2 


1,376 
389 
1,916 
3,647 
2,834 


36 

148 

306 

1 

28 
23 

47 
100 


79 

2 

40 

326 


29 

I 

30 

27 

19 

126 

79 
55 

468 

2 

1,234 

7 

124 


5 
410 


20 


1,838 

2 

231 

1 

53 

21 
109 
46 

759 

2 

32 

21 


48 


58 

22 

261 

230 

213 


106 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,   1987 — Continued 


Cily  by  State 


Population 


Crime 
Index 
total 


Modincd* 
Crime 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglai-y 


Larceny- 
theft 


Motor 
vehicle 
then 


WASHINGTON— ConHnued 


Bremerton 

Des  Motnes * 

Edmonds 

Ellensburg 

Everett 

Kelso 

Kennewick 

Kent 

Kirkland 

Lacey 

Longview 

Ly  nnwood 

Mercer  Island      

Mountlake  Terrace 

Oak  Harbor 

Olympia    

Port  Angeles 

Pullman    

Puyallup  

Redmond 

Renton      

Richland 

Seattle 

Spokane  

Tacoma 

Vancouver  

Walla  Walla       

Wenatchee  

Yakima  

WEST  VIRGINIA 

Beckley    

Bluefield  

Charleston 

Clarksburg  

Fairmont  

Huntington 

Martmsburg 

Morgantown  

Moundsville  

Parkersburg 

Saint  Albans 

South  Charleston 

Vienna 

Weirton 

Wheeling 


WISCONSIN 


Appleton 
Ashwaubenon 
Beaver  Dam 
Bcloit 
Brookfield 


Brown  Deer 

Caledonia 

Chippewa  Falls 

Cudahy 

Eau  Claire 


Fitchburg 


34.677 
13.922 
28,921 
11.430 
61,402 

10.871 
40.117 
29.409 
19,667 
15.894 

29.633 
24.813 
20.959 
15,996 
13.403 

30,213 
17,857 
23,552 
19,789 
29,419 

34.992 

33.131 

494.426 

175.815 

161.639 

44.673 
25.687 
18.589 
50.205 


19.338 
14.236 
57.262 
19.733 
22.007 

58.627 
13.060 
26.535 
11.458 
38.102 

11.874 
14.820 
11.241 
23.361 
39,358 


64.346 
15.411 
13.793 
33.916 
33.544 

12.528 
21.650 
12.899 
19.058 
54.842 

14.336 


2.499 
844 

1.289 
784 

6.139 

947 
3.560 
3.071 
1.176 
1.266 

2,384 
2.688 

572 
1.322 

577 

2.109 
1.420 
571 
1.367 
1.580 

4.232 

1.513 

72.937 

15.824 

23.674 

3.653 
2.674 
2.109 
7.522 


685 
421 

6.046 
619 

1,006 

3.953 
1.086 
1.216 
448 
1.698 

485 
364 
377 
306 
1.031 


2.973 
1.016 
488 
3.164 
1.146 

542 
448 
490 
905 
2.791 


2.518 
852 

1.295 
794 

6.171 

955 
3.578 
3,11 
1,178 
1,268 

2,409 
2,710 

574 
1,328 

589 

2.118 
1.429 
574 
1.379 
1.583 

4.251 

1.523 

73.369 

15.917 

23.857 

3.676 
2,684 
2,121 
7,559 


687 
421 

6,102 
623 

1,012 

4,028 
1,092 
1,242 
448 
1,719 

489 
364 
377 
312 
1,042 


2,984 

488 
3,181 
1.150 

543 
460 
492 
930 
2.823 


11 

13 

1 

7 

2 

9 
2 
9 

10 
4 

27 
17 

465 
71 

240 

50 
15 
15 

31 


16 


488 


489 


44 
16 
11 
3 
90 

6 
17 
34 
15 

4 

37 
45 

I 
10 

1 

13 

7 

1 

16 

12 

56 

11 

2,959 

452 

781 

85 
19 
36 

178 


6 
7 
130 
12 
14 


65 


103 
20 
17 
35 
93 

19 
59 
46 
9 
24 

67 
46 

9 
14 

6 

36 
19 

5 

19 
14 

77 

9 

3,618 

556 

1,336 

148 

189 

41 

245 


2 
5 
208 
16 
19 

176 
6 

21 
9 

32 


46 

28 

5 

371 

9 

2 

7 

4 

65 

40 

30 


418 
267 
281 
141 
1,552 

240 
985 
637 
267 
215 

713 
483 
184 
289 
86 

376 
377 
126 
231 
282 

875 

362 

17,254 

4,715 

6,561 

971 

643 

453 

1,978 


89 

124 

1,341 

97 

287 

1,021 
284 
1 

86 
458 

122 
49 
29 
98 

378 


571 
111 
30 
503 
181 

77 
113 

77 
197 
470 

74 


1,744 
470 
942 
577 

3,863 

637 

2,366 

2,075 

824 

974 

1,451 

1,966 

364 

917 

467 

1,601 

968 

405 

1,034 

1,211 

2.858 
1,073 

43.586 
9.313 

13.548 

2.154 
1.732 
1.478 
4,811 


569 
267 
3,983 
453 
649 

2,378 
714 
911 
338 

1,098 

330 
272 
341 
166 
439 


2,262 
848 
444 

2,131 
879 

438 
292 
383 
597 
2,180 


131 
61 
33 
25 

485 

37 
114 
265 
53 
35 

105 

135 

13 

85 

15 

74 
47 
24 
56 

57 

337 

41 

5,001 

701 
1,184 

242 
74 
83 

276 


17 
18 
311 
36 
32 

232 
58 
68 
15 
79 

24 
28 
6 
26 
94 


355 


23 


107 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1987 — Continued 


City  by  State 


Population 


Ctime 
Index 
total 


Modified* 
Cnme 
Index 
total 


Murder 
and  non- 
negiigent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


WISCONSIN— Continued 


Fond  du  Lac 
Fori  Atkinson 

Franklin   

Gennantown.... 


Glendale 
Green  Bay 
Greendale 
Greenfield  . 
Janesville  ,  . 


Kaukauna  .. 
Kenosha 
La  Crosse.. 
Madison 
Manitowoc . . 


Marinette 

Marshfield 

Menasha 
Menasha  Town 
Menomonee  Falls 

Menomonie 

Mequon 

Merrill 

Middleton 

Milwaukee 


Monroe        

Mount  Pleasant 

Muskego 

Neenah     

New  Berlin 


Oak  Creek 

Oconomowoc...... 

Onalaska       

Oshkosh      

Pleasant  Prairie. 


Racine  

Sheboygan 
Shorewood 
South  Milwaukee  . 
Stevens  Point 


Sun  Prairie 
Two  Rivers 

Watertown  .. 
Waukesha  ., 
Wausau 


West  Allis 

West  Bend 

Weston        

Whileftsh  Bay 
Whitewater  


Wisconsin  Rapids.. 


WYOMING 


Casper 

Cheyenne 

Evanston 

Gillette 

Green  River . 


Laramie 
Rawlins 


36,699 
10.187 
19,731 
12,035 

13,964 
93,902 
16,365 

32,037 
52,029 

12.317 
75,306 
47,870 
176,642 
32,218 

1 1,985 
19,931 
14,818 
13,472 
26,843 

13,201 
16,747 
10,227 

13,472 
607.885 

10.619 
20.364 
16.044 
23.518 
31.043 

18,103 
10,227 
11.021 
51.426 
12.307 

82.821 
47.629 
14.396 
20.384 
22.353 

14,316 
13,241 
19.318 
53.014 
32.389 

64.235 
22.795 
11.111 
14,336 
11.704 

19.138 


45.697 
52,120 
11,668 
22,486 
14,382 

24,080 
10,316 


2,099 
507 
445 
453 

1,097 
5,321 
602 
1.592 
3,024 

351 

5,091 

2.884 

11.960 

1.822 

677 
890 
752 
399 
836 

880 
258 

547 

340 

50.398 

415 
493 
233 
978 
748 

812 
274 

435 

3,057 

397 

6.803 

2,672 

484 

790 

1,645 

559 

530 

536 

1,227 

2,020 

2,887 

1,048 

417 

391 

409 

1,030 


2,954 

2,750 

546 

882 

559 

1,184 
551 


2,105 
508 
447 
454 

1,097 
5,369 
602 
1,592 
3,054 

352 

5.150 

2.887 

12.015 

1.830 

684 
895 
753 
409 
837 

889 
259 

547 

340 

50.670 

421 
497 
233 
991 
759 

819 
278 

435 

3,066 

405 

6,848 

2.698 

484 

805 

1,651 

563 

530 

538 

1,233 

2,035 


1.053 
422 
391 
411 

1.037 


2.982 

2,758 

547 

892 

560 

1,186 
551 


92 


2 
1 

437 


92 

6 

185 

2 

3 
2 
2 
3 
2 


3 
1,984 


4 
2 

2 
1 

23 
4 

228 

10 

26 

12 

4 

2 
1 
2 
9 
14 

34 
3 


38 
9 
4 
3 

3 

141 

4 

71 
76 

43 
66 
29 
138 
24 

10 
3 
4 
10 
11 

2 
2 
1 
2 

3,495 

6 
16 

1 
20 
20 

18 
17 
9 
57 
14 

373 

64 

6 

71 

36 

15 
I 


110 
10 


182 
46 
75 
49 
38 

21 
23 


313 
62 

101 
69 

92 
868 

18 
236 
684 

62 
1,246 

252 
2,370 

349 

65 
118 
176 
102 
173 

82 
78 
69 
60 
9,964 

81 
130 

63 
124 
196 

143 
28 
53 

424 
56 

1,614 
433 
141 
150 
244 

69 
89 
60 
177 
429 

708 
57 
88 
55 
72 


1,700 
424 
311 

374 

872 
4,077 

555 
1,159 
2,116 

235 
3,356 
2,478 
8,574 
1,399 

579 
748 
562 
270 
616 

745 
173 
467 
266 
28,680 

315 
297 
163 
806 
503 

615 
222 
365 
2,463 
309 

4,140 

2,082 

283 

533 

1.330 

455 
419 
466 
936 
1,461 

1.922 
961 
305 
320 
316 

747 


812 

1.830 

313 

2.274 

74 

364 

105 

688 

55 

445 

100 

1.003 

141 

370 

41 
9 

26 
3 

103 
176 
18 
112 
122 

9 

292 

106 

639 

43 

19 
15 
8 
14 
33 

42 
4 


5,746 

12 
33 
6 
24 
27 

30 
6 

4 
71 
12 

349 

80 
28 
22 
29 

18 

17 

7 

65 

44 

113 

16 

15 

5 

13 

27 


91 

83 
27 
28 
18 

49 

7 


108 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1987 — Continued 


City  by  State 

Population 

Cnme 
Index 
lolal 

Modified' 
Crime 
Index 
total 

Murder 
and   non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
Ihefl 

Molor 
vehicle 
Ihefc 

Arson* 

WYOMING— Continued 

21.221 
15.503 

1.331 
566 

1.342 
570 

1 

18 
3 

7 
1 

III 

4 

163 
66 

995 
467 

36 
25 

11 
4 

'Forcible  rape  figures  furnished  by  the  state-level  Uniform  Crime  Reporting  (UCR)  Program  administered  by  the  Ilhnois  Department  of  State  Police  were  not  in  accordance 
with  national  UCR  guidelines-  Therefore,  the  figures  were  excluded  from  the  forcible  rape.  Crime  Index  total,  and  Modified  Crime  Index  total  categories. 


109 


Table  7.  —  Number  of  Offenses  Known  to  the  Police,  Universities  and  Colleges,  1987 

•  Arson  is  shown  only  if  12  months  of  arson  data  were  received    Leaders  (...)  indicate  zero  data. 


University/College 


Student 
enroll- 
ment' 


Violent- 
cnme 
total 


Violent  Cnme 


Murder 
and  non- 
negligenl 

man- 
slaughter 


Forcible 

rape 


Robbery 


Aggra- 
vated 
assault 


Property ' 
crime 
total 


Property  Cnme 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


ALABAMA 

Auburn  University; 

Main  Campus  

Monlgotner>'  

Jacksonville  Stale  Universtty 
University  of  Alabama,  Tuscaloosa 

ARIZONA 

Arizona  Slate  University 

Arizona  Western  College  

Northern  Anzona  University 

Pima  Community  College 

University  of  Anzona 
Yavapai  College 

ARKANSAS 


University  of  Arkansas: 
Fayetteville 
Little  Rock 
Medical  Science 


CALIFORNIA 

Cabrilio  College      

California  Slate  College: 

Bakersfield    

San  Bernardino 

Stanislaus       

California  State  Polytechnic  University 

Pomona 

San  Luis  Obispo 

California  State  University: 

Chico   

Dominguez  Hills 

Fresno 

Fullerton 

Hay  ward 

Long  Beach 

Los  Angeles 

Northndge 

Sacramento   

College  of  Mann 

College  of  the  Sequoias 
Contra  Costa  Community  College 
Foothill-Deanza  Community  College.... 
Humboldt  State  University 

Merced  College  

San  Diego  State  University 

San  Francisco  State  University 

San  Jose  City  College  -. 

San  Jose  Stale  University 

Sonoma  State  University 
University  of  California: 

Berkeley 

Davis 

Irvine    

Lawrence  Berkeley  Laboratory 

Lawrence  Livermore  Laboratory... 

Los  Angeles 

Riverside      

Sacramento 

San  Diego    

San  Francisco 

Santa  Barbara 

Santa  Cruz      

West  Valley  College  

Yosemite  Community  College 


523 
44 
116 
591 


1,284 

35 

603 

108 

1,174 

34 


381 
126 
124 


46 

48 
112 
107 

307 
488 

447 
94 
475 
256 
119 
409 
615 
306 
443 
116 
71 
229 
274 
236 
114 
1,375 
600 
77 
498 
100 

1,671 

1,208 

629 

38 

75 

1,638 

217 

262 

936 

499 

816 

427 

126 

91 


100 
13 


10 
38 

41 
27 
74 
11 

7 
53 
81 
10 
45 
16 

4 
33 

9 

4 
15 
47 
41 

51 
14 

193 

64 

57 

1 

3 

355 
22 
20 
83 
35 
60 
70 

30 


460 

40 

108 

541 


60 

1,183 

10 

24 

47 

538 

6 

99 

16 

919 

5 

29 

271 
113 
123 


34 

42 
83 
106 

249 
438 

393 

56 

374 

227 

108 

317 

415 

261 

345 

97 

67 

188 

261 

229 

98 

1,211 

520 

76 

426 

85 

1,401 

1,101 

552 

36 

72 

1,082 

181 

235 

776 

452 

744 

349 

126 

60 


12 

2 


41 
1 

18 
3 

39 


10 


4 
1 

48 
12 

13 
11 
27 
18 

4 
39 
119 
35 
53 

3 


4 

3 

1 

117 

39 
1 

21 
1 

77 

43 

20 

1 


201 
14 

7 
77 
12 
12 


110 


Table  7,  —  Number  of  Offenses  Known  to  the  Police,  Universities  and  Colleges,  1987 — Continued 


Universily/College 


Student 
cnroH- 
ment' 


Violent-' 
crime 
loial 


Violent  Cnme 


Murder 
and  non- 
negligenl 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Property 
crime 
total 


Property  Crime 


Burglary 


Larceny - 
theft 


Motor 
vehicle 
theft 


COLORADO 

Adams  Slate  College  

Arapahoe  Community  College 

Auraria  Higher  Education  Center 

Colorado  Slate  University 

Red  Rocks  Community  College 

University  of  Colorado: 

Boulder 

Colorado  Springs  

Medical  Center  

University  of  Denver  

University  of  Northern  Colorado 

University  of  Southern  Colorado  

CONNECTICUT 

Central  Connecticut  State  University 
Eastern  Connecticut  State  University 
University  of  Connecticut: 

Avery  Point 

Health  Center 

Main  Campus 

Western  Connecticut  Slate  University 
Yale  University  

FLORIDA 

Florida  A  &  M  University 

Florida  Atlantic  University   

Flonda  International  University 

Florida  State  University: 

Panama  

Tallahassee  

University  of  Central  Florida 

University  of  Florida 

University  of  North  Florida 
University  of  South  Florida; 

Saint  Petersburg  

Sarasota  

Tampa  

University  of  West  Florida 

GEORGIA 

Albany  State  College 

Cherokee  College 

Georgia  Institute  of  Technology 

Georgia  Southern  College  

Georgia  State  University        

Georgia  Southwestern  College 

Medical  College  of  Georgia        

South  Georgia  College 
Valdosta  State  College 
West  Georgia  College  

ILLINOIS* 

Chicago  State  University 

College  of  DuPage 

Eastern  Illinois  University 

Governors  State  University 

Illinois  State  University  

Joilet  Junior  College  

Lake  County  College  

Northeastern  Illinois  State  University 

Northern  Illinois  University   

Southern  Illinois  University: 

Carbondale  


18 


120 

65 

386 

780 

17 

1.029 

30 

280 

217 

429 

63 


2 

103 

9 

127 

1 

17 

7 

155 

12 

519 

1 

89 

2 

1,059 

176 

147 
288 

1 

882 

193 

1.211 

129 

31 

41 

709 

56 


17 

2 

808 

323 

315 

52 

221 

7 

113 

237 


3 

51 

1 

95 

3 

269 

35 

4 

633 

1 

61 

100 

1 

93 

12 

465 

893 


5 

1 

13 

133 


203 
4 
11 
19 
72 
10 


119 
66 

5 

2 
2 


69 


72 


113 

54 

359 

532 

17 

799 

26 

268 

is:' 

347 
53 


4 

99 

13 

109 

9 

8 

7 

148 

141 

368 

16 

73 

342 

714 

150 
113 
230 

1 

804 

177 

1.090 

119 

25 

36 

627 

50 


12 

2 

659 

255 
302 
49 
218 
7 
103 
168 


1 

39 

8 

86 

24 

240 

1 

34 

140 

487 

60 

5 

95 

2 

91 

94 

360 

805 


14 
15 


27 

1 
11 
10 


10 

13 


5 
30 
53 


22 
2 

52 
4 


I 

23 

1 


30 

2 


11 

1 
5 


11 
16 


See  footnote  at  end  of  table. 


Ill 


Table  7.  —  Number  of  Offenses  Known  to  the  Police,  Universities  and  Colleges,  1987 — Continued 


Univcrsity/Collegc 


Student 
enroll- 
ment' 


cntne 
total 


Violent  Cnme 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Property' 
crime 
total 


Propeny  Cnme 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


ILLINOIS*  —Continued 

Edwardsville     

Thortiton  Community  College 

Tiiton  College 

University  of  Illinois: 

Chicago 

Urbana 

Western  Illinois  University 
William  Rainey  Harper  College 

INDIANA 

Indiana  University: 

Bloomington 

Gary 

Indianapolis 

New  Albany 

IOWA 

Iowa  State  University 

University  of  Iowa 

University  of  Northern  Iowa 

KANSAS 

Emporia  State  University 

Fort  Hays  State  University 

Kansas  State  University, 

Manhattan 

University  of  Kansas: 

Lawrence 

Medical  Center 

Pittsburg  State  University 

Wichita  State  University 

KENTUCKY 

Morehead  State  University 

Murray  State  University 

Northern  Kentucky  University 

University  of  Kentucky 
University  of  Louisville 
Western  Kentucky  University 

LOUISIANA 

Louisiana  State  University. 

Baton  Rouge    

McNeese  Stale  University 

Northeast  Louisiana  University .... 

MAINE 

University  of  Maine,  Orono 

University  of  Southern  Maine 

MARYLAND 

Bowie  State  College 

Coppin  State  College 

Frostburg  State  College 

Morgan  State  University 

Saint  Mary's  College  

Salisbury  State  College 

Towson  State  University 

University  of  Baltimore 


189 
86 
161 

780 

931 

451 

48 


1,442 

82 

671 

28 


919 
811 
193 


143 
67 

619 

666 

300 

83 

288 


131 
188 
61 
771 
619 
264 


1,019 
125 
266 


439 
186 


72 
45 
96 
162 
31 
188 
463 
140 


31 

153 

2 

75 

1 

159 

16 

724 

70 

821 

24 

423 

1 

46 

228 

1 

23 

2 


210 

158 

10 


44 
13 

133 

154 

4 

21 

16 


180 
11 


1,194 

73 

619 

26 


696 
639 
182 


98 
54 

479 

496 

285 

60 

261 


93 
155 

54 
717 
553 
258 


801 
125 
255 


421 
150 


45 
36 
84 
94 
24 
185 
376 
140 


5 
9 
1 

40 

40 

4 

I 


20 

8 

29 


13 

14 

1 


16 
11 
2 
II 


38 


See  footnote  at  end  of  table. 


112 


Table  7.  —  Number  of  Offenses  Known  to  the  Police,  Universities  and  Colleges,  1987 — Continued 


Umvereily/CoIIege 

Student 
enroll- 
menl 

Violent- 
crime 
total 

ViolenI  Cnme 

Property' 
cnme 
total 

Property  Crime 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
theft 

Motor 
vehicle 
theft 

Arson* 

MARYLAND— Continued 

University  of  Maryland: 

Baltimore  City 

Baltimore  County 

College  Park 

Eastern  Shore 

MASSACHUSETTS 

17 
8 

13 
8 

1 

3 

14 
3 

3 
7 
7 
8 

566 

228 

1,301 

46 

13 

34 

256 

6 

547 

188 

1,012 

40 

6 

6 

33 

2 
9 

13 

1 

12 

59 

24 

34 

1 

MICHIGAN 

Central  Michigan  University 
Delta  Colleee 

3 
1 
15 
16 
4 
4 
1 

51 

1 
5 
6 

1 

2 

539 

98 

479 

436 

103 

197 

152 

195 

2,253 

96 

334 

163 

134 

98 

798 

27 

7 

25 

12 

10 

17 

2 

9 

471 

4 

19 

16 

11 

5 

26 

511 

91 
442 
417 

92 
178 
149 
172 
1,725 

92 
315 
146 
119 

90 
754 

1 

7 

1 
2 
1 

I 

13 
11 

3 
3 

1 

12 

7 
1 
2 
1 
14 
57 

12 

Ferris  State  College           

4 

7 

Grand  Valley  State  College 

2 

1 

Lansing  Community  College 
Macomb  Community  College 
Michigan  State  University 
Michigan  Technological  University 

Northern  Michigan  University 

Oakland  University        

Saginaw  Valley  State  College 
University  of  Michigan,  Fhnt 
Western  Michigan  University 

8 

3 
1 

6 

1 

1 

4 

37 

1 
2 
4 

16 

28 
9 

1 

4 

3 

18 

3 
1 

1 
27 

' 

6 

12 

MINNESOTA 

University  of  Minnesota         

18 

2 

9 

7 

1.499 

78 

1.413 

8 

18 

'                          MISSISSIPPI 

2 
6 

1 

2 
5 

327 
278 

25 
26 

297 
248 

5 
4 

2 

University  of  Mississippi 

1 

MISSOURI 

University  of  Missouri; 

Columbia    

Saint  Louis 

Washington  University 

22 
1 

5 

3 

2 
4 

17 

1 
1 

899 
153 
219 

101 
6 

793 
141 
209 

5 
12 

4 

9 

MONTANA 

Montana  State  University               .  . 

1 

1 

197 

3 

191 

3 

1 

NEBRASKA 

University  of  Nebraska,  Lincoln 

8 

4 

4 

969 

139 

822 

8 

NEVADA 

University  of  Nevada,  Reno 

18 

1 

5 

12 

189 

90 

94 

5 

1 

NEW  JERSEY 

Brookdale  Community  College 

Burlington  County  College 

Essex  County  College 

Glassboro  State  College 

Kean  College           

2 
7 
9 
1 
5 
5 
6 

7 

' 

1 

1 
4 

2 

4 
3 

4 

73 

31 

31 

204 

183 

55 

126 

289 

126 

132 

73 
15 
22 
147 
145 
53 
108 
197 
100 

111 

16 

9 

3 

23 

2 

54 
15 

18 
50 
11 

12 

3 

Monmouth  College 

Montclair  State  College 

42 
15 

9 

New  Jersey  Institute  of  Technology 
Rutgers  University: 

Camden 

113 


Table  7.  —  Number  of  Offenses  Known  to  the  Police,  Universities  and  Colleges,  1987 — Continued 


Universiiy /Col  lege 


Student 
en  roll - 
meni' 


cnme 
total 


Violent   Cnme 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Property' 
cnme 

total 


Property  Crime 


Burglary 


Larceny- 
iheft 


Motor 
vehicle 
theft 


NEW  JERSEY— Continued 

Newark  

New  Brunswick 

Stockton  State  College 

Trenton  Slate  College 

University  of  Medicine  and  Dentistry: 

Camden 

Newark 

Piscataway 

William  Paterson  College 

NEW  MEXICO 

Eastern  New  Mexico  University 

New  Mexico  State  University 

University  of  New  Mexico 

Western  New  Mexico  University 

NEW  YORK 

Cornell  University 

State  University  of  New  York: 

Albany 

Amherst 

Binghamton 

Buffalo 

Downstate  Medical  Center 

Mantime  College     

Stony  Brook 

Upstate  Medical  Center 

State  University  of  New  York 
Agricultural  and  Technical  College: 

Alfred 

Canton * 

Cobleskill 

Delhi     

Farmingdale 

Morrisville 
State  University  of  New  York  College: 

Brockport  

BufTalo  

Cortland  

Environmental  Science  and  Forestry. 

Fredonia 

Geneseo 

New  Paltz 

Old  Westbury 

Oneonta 

Optometry    

Oswego    

Plattsburgh 

Potsdam 

Purchase 

U tica- Rome  

NORTH  CAROLINA 

Appalachian  State  University 

East  Carolina  University 

North  Carolina  State  University.  Raleigh 
University  of  North  Carolina: 

Chapel  Hill 

Charlotte 

Wilmington 

Western  Carolina  Universiiy 

NORTH  DAKOTA 

University  of  North  Dakota  


23 


6 

239 

2 

658 

6 

165 

3 

249 

11 

30 

499 

2 

83 

162 

164 
394 

721 
45 


773 

315 
517 
358 
335 
261 
51 
933 
269 


11 
112 
81 
121 
204 
131 

274 
365 
234 

11 
151 
288 
120 

62 
179 
9 
287 
139 
130 
129 

16 


166 

474 
1.170 

684 
330 
291 
146 


378 


7 

184 

31 

607 

28 

135 

25 

213 

3 

8 

7 

421 

5 

76 

5 

144 

157 


139 

347 

642 

42 


614 


87 

225 

84 

422 

81 

276 

61 

258 

258 

23 

27 

242 

684 

267 

16 

102 

112 

26 

55 

23 

98 

60 

137 

34 

97 

46 

225 

71 

294 

6 

228 

3 

8 

17 

134 

29 

258 

3 

117 

5 

57 

20 

159 

9 
270 

14 

7 

132 

1 

129 

10 

117 

16 

3 

163 

138 

328 

196 

949 

57 

615 

69 

258 

24 

261 

1 

145 

48 

20 

2 

11 


71 
2 
13 


4 

7 

29 

1 


3 
II 

1 
16 


25 

12 
3 
6 


368 


114 


Table  7.  —  Number  of  Offenses  Known  to  the  Police,  Universities  and  Colleges,  1987 — Continued 


U  n  I  versit  y /Col  lege 


Student 

enroll- 
ment' 


Violent- 
cnme 
total 


Violent   Crime 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Property' 
cnme 
total 


Property  Cnme 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


OHIO 

Bowling  Green  University    

Cleveland  State  University     

Cuyahoga  Community  College 

Kent  State  University 

Lakeland  Community  College 

Miami  University 

Ohio  State  University 

University  of  Akron 

University  of  Cincinnati 

University  of  Toledo  

Youngstown  State  University 

OKLAHOMA 

Central  State  University 
Northeastern  Oklahoma  State  University 
Oklahoma  State  University 
Putnam  City  Campus 

Tulsa  Junior  College   

University  of  Oklahoma: 

Health  Science  Center 

Norman        


OREGON 

Oregon  State  University 


PENNSYLVANIA 


Bloomsburg  University 

California  University      

Cheyney  University       

Clarion  University 

East  Stroudsburg  University 

Edinboro  University 

Indiana  University - 

Kutztown  University 
Lehigh  University 

Lock  Haven  University 

Mansfield  University  

Millersville  University 

Moravian  College 

Pennsylvania  State  University: 

Altoona  Campus  , 

Behrend  College  , 

Capital  Campus 

McKeesporl 

University  Park       

Slippery  Rock  University  

University  of  Pittsburgh,  Bradford 


RHODE  ISLAND 

University  of  Rhode  Island 


SOUTH  CAROLINA 

Clemson  University 

Medical  University  of  South  Carolina 

University  of  South  Carolina: 

Columbia  

Spailanburg , 

TENNESSEE 

Austin  Peay  State  University 

East  Tennessee  State  University 


23 


694 

304 
192 
626 
77 
529 

1.865 
724 

1,200 
513 
311 


165 

80 

546 

125 

76 

76 

852 


488 


120 
81 
58 
126 
120 
199 
223 
165 
201 
65 
42 
83 
39 

55 
73 
44 
1 
1.075 
175 
27 


225 


553 
410 


863 
9 


147 
187 


150 

534 

6 

235 

51 

130 

14 

605 

77 

10 

518 

381 

1,474 

164 

552 

247 

947 

48 

452 

25 

275 

19 

136 

27 

43 

139 

391 

40 

80 

18 

58 

1 

69 

220 

597 

89 


108 

5 
3 


33 


395 


118 
64 
47 
119 
108 
181 
182 
162 
141 
63 
40 
79 
37 

55 
64 
44 
18 
963 
166 
23 


186 


492 
397 


757 
g 


71 
173 


10 

4 

63 

5 

11 

7 

7 

1 
10 

9 

8 

6 

2 

13 

3 

11 

32 


115 


Table  7.  —  Number  of  Offenses  Known  to  the  Police,  Universities  and  Colleges,  1987 — Continued 


UniversjIy/CoIIege 


Student 
enroll- 
ment' 


Violent 
cnme 
total 


Violent  Cntne 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Property 
cnme 
total 


Property  Cnme 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


TENNESSEE— Continued 

Middle  Tennessee  Stale  Untversity 

University  of  Tennessee; 

Martin - 

Memphis 

TEXAS 

Angelo  State  University  

Baylor  University         

Eastfield  College  

East  Texas  State  University 

Lamar  University  

McLennan  Community  College 

Midwestern  State  University 

North  Harris  County  College 

North  Texas  State  University 

Pan  Amencan  University 

Richland  College 

Southern  Methodist  University 

South  Plains  College  

Southwestern  University 

Southwest  Texas  State  University 

Stephen  F.  Austin  State  University 

Sul  Ross  State  University 

Texas  A  &  M  University; 

College  Station 

Galveston 

Texas  Arts  &  Industries  

Texas  Christian  University 

Texas  College  Osleo.  Med, 

Texas  Southern  University    

Texas  State  Technical  Institute; 

Amarillo 

Waco    

Texas  Tech.  Health  Science  Center 

Texas  Tech.  University  

Texas  Woman's  University  

University  of  Houston; 

Central  Campus 

Clear  Lake        

Downtown  Campus 

University  of  Texas; 

Arlington 

Austin 

Dallas 

El  Paso , 

Galveston    

Houston        

Permian  Basin 

San  Antonio 

Health  Science  Center.  San  Antonio 
University  of  Texas  Southwest 

Medical  School  

UTAH 

Salt  Lake  Community  College 

University  of  Utah  

Utah  State  University  

Utah  Valley  Community  College 

Weber  State  College     

VIRGINIA 

Christopher  Newport  College 
College  of  William  &  Mary 

George  Mason  University 

James  Madison  University 

Longwood  College       

Mary  Washington  College 


270 


137 
155 


101 
374 

80 

162 

415 

3 

58 

91 
534 
107 

95 
332 

32 

28 
870 
357 

45 

925 
60 

193 

115 
56 

199 

92 
387 
161 
737 

46 

731 
29 
94 

335 
859 

69 
190 
175 
382 
3 
168 

72 

208 


51 
660 
275 

54 
163 


33 
128 
356 
181 
111 

82 


14 


4 
58 

38 
28 

1 
15 
23 
44 
16 

2 
65 

7 

9 

153 

45 

19 


3 
64 

46 

61 

25 
143 

6 
159 

5 

24 


251 


115 

144 


97 

295 

80 

122 

381 

2 

43 

50 

477 

86 

87 

243 

25 

18 

701 

301 

26 

809 
57 

126 
69 
52 

117 

65 

230 
154 
565 
40 

669 
29 
89 

283 
783 

61 
139 
169 
358 
3 
162 

59 

201 


37 
585 
242 

52 
149 


33 
116 
338 
178 
109 

80 


21 


18 
13 
5 

6 

24 


1 

16 
11 


28 
3 


4 
21 

2 
14 

1 
13 

1 

38 


21 
32 

1 
22 

5 
16 


116 


Table  7.  —  Number  of  Offenses  Known  to  the  Police.  Universities  and  Colleges,   1987 — Continued 


Univereity/Collegc 


Sludenl 
enroll- 
ment' 


Violenl 
cnme 
lolal 


Violenl  Cnme 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
as^ull 


Properly 
cnme 
total 


Propeny  Cnme 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


VIRGINIA— Continued 

Old  Dominion  University 

Radford  University       

Thomas  Nelson  Community  College... 

University  of  Richmond 

University  of  Virginia 

Virginia  Commonwealth  University      . 
Virginia  Polytechnic  Institute  and 
State  University 

WASHINGTON 

Central  Washington  University 

University  of  Washington 

Washington  State  University  

WEST  VIRGINIA 

Concord  College 

Glenville  State  College 

Marshall  University    

West  Liberty  State  College 

West  Virginia  Institute  of  Technology 

West  Virginia  Slate  College 

West  Virginia  University 

WISCONSIN 

University  of  Wisconsin: 

Eau  Claire 

Green  Bay 

Madison 

Milwaukee  

Oshkosh  

Parkside 

Whitewater 

WYOMING 

University  of  Wyoming 


403 
111 
18 
173 
557 
663 

575 


282 

1,256 

574 


34 

2 

183 

49 

8 

45 

385 


265 

32 

1.061 

432 

243 
63 

162 


314 


45 
281 
112 


371 
110 
17 
160 
522 
651 

529 


232 
923 
444 


32 

2 

167 

47 

5 

43 

362 


261 
31 
938 
396 
241 
60 
151 


306 


21 
1 
1 


'Student  enrollment  data  had  not  been  received  at  the  time  thts  publication  was  prepared. 

^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  to  the  state-level  Uniform  Crime  Reporting  (UCR)  Program  administered  by  the  Illinois  Department  of  Siate  Police  were  not  in  accordance  with 
national  UCR  guidelines.  Therefore,  the  figures  were  excluded  from  the  forcible  rape  and  violent  crime  total  categones 

NOTE:  Caution  should  be  exercised  in  making  any  inter-campus  comparisons  or  ranking  schools,  as  university/college  cnme  statistics  are  affected  by  a  vanety  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. 


117 


Table  8.  —  Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,  1987 

[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  Cnme  Index  total  is  the  sum  of  the  Cnme  Index 
offenses,  including  arson. 


County  by  State 


Cnme 
Index 

total 


Modified* 
Cnme 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


ALABAMA 


Autauga 

Baldwin 

Blount 

Calhoun    , 

Colbert 

Elmore 

Etowah 

Houston 

Jefferson 

Lauderdale 

Madison 

Mobile 

Montgomery 

Russell 

Saint  Clair 

Shelby 

Tuscaloosa 

Walker 


ARIZONA 


Maricopa 


ARKANSAS 


Crawford 

Crittenden 

Faulkner 

Jefferson 

Lonoke 

Miller 

Pulaski 

Saline 

Sebastian  

Washington  . 


CALIFORNIA 

Alameda 

Alameda  Highway  Patrol 

Alameda  State  Police 

Butte 

Butte  Highway  Patrol 

Butte  State  Police  

Contra  Costa 

Contra  Costa  Highway  Patrol 

Contra  Costa  State  Police 

El  Dorado  

El  Dorado  Highway  Patrol.... 

Fresno       

Fresno  Highway  Patrol 

Fresno  State  Police 

Kern 

Kern  Highway  Patrol 

Kern  State  Police  

Los  Angeles  

Los  Angeles  Highway  Patrol 

Los  Angeles  State  Police 

Marin  

Marin  Highway  Patrol 

Merced 

Merced  Highway  Patrol 

Merced  Slate  Police 

Monterey  

Monterey  Highway  Patrol 

Napa  

Napa  Highway  Patrol 

Orange 

Orange  Highway  Patrol 


145 

1,120 
403 
509 
112 
844 
322 
216 

6,374 
573 
490 

2.511 
665 
293 
341 
460 

1,056 
427 


6,526 


241 

367 
437 
595 
311 
565 
2,458 
762 
229 
641 


3.566 

115 

169 

3,461 

260 

10 

5,999 

683 

29 

2,721 

205 

8,196 

90 

41 

17,290 

217 

25 

44,845 

471 

528 

1,839 

107 

1,686 

165 

7 

2,939 

191 

1,213 

85 

10,868 

63 


220 
6,526 


2,518 

343 
1,073 


6,639 


241 
368 

442 
606 
315 
574 
2.483 
762 
230 
645 


3,588 
169 


11 

6,042 

29 
2,732 

8,334 

41 
17,987 

25 
45,462 

535 
1,845 

1.687 

7 
3,014 

1,214 

11,039 


20 


164 

4 
3 


39 


1 

147 

162 


459 


29 


31 


15 
I 

149 


121 


135 


119 


18 

186 

466 


3,222 

I 

33 

37 


21 


47 

15 

160 


12 

101 

1 

72 

I 

77 

35 

15 

1,041 

18 

46 

220 

57 

86 

32 

I 

227 

10 


351 


12 
83 
27 
51 
2 
24 
222 


29 


193 

52 
29 

24: 

6 

4 

329 

3 


90 


910 

4 

1 

1.612 


i,480 
28 
53 
198 


209 
1 


242 


157 

584 


74 

45 

467 

472 

201 

176 

175 

240 

65 

36 

396 

312 

140 

118 

70 

112 

,895 

2.795 

265 

228 

153 

246 

831 

1,303 

235 

320 

100 

79 

155 

133 

215 

207 

336 

393 

174 

191 

1,765 


117 
112 
175 
255 
110 
222 
922 
263 
86 
226 


1,276 


42 
1.500 


2 
2,217 


16 
1,310 


3,196 


10 
5,202 


2 

11,456 

2 

129 

494 


642 

2 
1,073 


383 

3,264 


3,727 


82 
140 
192 
239 
174 
267 
1,080 
426 
115 
320 


1,685 


85 

1,627 

20 

3 

3,266 

84 

II 

1,262 

37 

3,251 

25 

28 

8,846 

89 

22 

13,814 

17 

233 

1,081 

23 

782 

6 

5 

1,537 

21 

640 

4 

5,883 


11 
56 
24 
15 
6 
32 
22 
13 

431 
51 
27 

108 
32 
16 
19 
17 
70 
41 


503 


25 
15 
35 
32 
17 
44 
159 
56 
14 
57 


256 
63 

9 

19 

234 

1 

2 

596 

2 

23 

168 

481 

61 

2 

962 

128 

I 

7,250 

423 

78 

16 

84 


158 


6 

170 

6 

81 

904 

55 


118 


Table  8.  —  Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,  1987 — Continued 


County  by  Slate 


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 


CALIFORNIA— Continued 

Orange  Slate  Police 

Placer      

Placer  Highway  Patrol 

Riverside      

Riverside  Highway  Patrol 

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 

Santa  Barbara 

Santa  Barbara  Highway  Patrol  .... 
Santa  Barbara  State  Police. 

Santa  Clara  

Santa  Clara  Highway  Patrol 

Santa  Clara  Stale  Police 

Santa  Cruz 

Santa  Cruz  Highway  Patrol 

Shasta 

Shasta  Highway  Patrol 

Shasta  State  Police 

Solano  

Solano  Highway  Patrol 

Solano  State  Police 

Sonoma 

Sonoma  Highway  Patrol 

Sonoma  State  Police 

Stanislaus  

Stanislaus  Highway  Patrol 

Stanislaus  State  Police  

Sutter  

Sutter  Highway  Patrol 

Tulare         

Tulare  Highway  Patrol 

Ventura 

Ventura  Highway  Patrol 

Yolo  . 

Yolo  Highway  Patrol 

Yolo  State  Police 

Yuba 

Yuba  Highway  Patrol 


COLORADO 

Adams 

Arapahoe 

Boulder  

Douglas  

El  Paso  

Jefferson  

Lanmer  

Pueblo 

Weld   

DELAWARE 

New  Castle  Police  Department 
New  Castle  Stale  Police 


55 

3,344 

177 

29,817 

11 

36.314 

468 

734 

21.443 

225 

82 

24,944 

159 

90 

6,713 

543 

48 

3.563 

19 

4.527 

333 

1 

3,166 

209 

32 

3.477 

341 

2,889 

53 

19 

844 

81 

5 

4.410 

460 

60 

5.083 

375 

8 

1.461 

44 

5.717 

329 

1.990 

43 

1.825 

222 

7 

2.851 

144 


4.715 
3.632 
1.318 
1.010 
2.931 
6.046 
1.400 
683 
1,275 


7.004 
5.771 


55 
3,361 

29,936 

36.536 

736 

21,572 

86 
25,191 

91 
6.802 

48 
3,570 

4,590 

1 
3,179 

33 
3.513 

2.898 

19 

857 

5 
4.472 

60 
5.216 


1.464 

6.056 

2.021 

1.846 

7 
2.866 


4,778 
3,675 
1,355 
1,029 
2.962 
6.077 
1.404 
688 
1.296 


7.068 
5,783 


58 


43 


15 


21 
139 
229 


2 
155 


146 


39 


78 


62 


23 


16 


130 

27 


27 

577 

1,127 


12 

442 


653 


I 
147 


23 


112 

8 
116 
35 
54 


29 


100 
41 

5 

35 

70 

3 

7 

3 


66 

203 


I 

588 

3,695 
4 

1,882 

1 

30 

3.463 
3 
1 

2.002 

7 

2 

330 

3 
385 

2 
379 

1 


194 


4 
202 


373 
I 
4 

136 


1 
317 

2 

582 

2 

180 

698 


295 

4 

204 


826 


9 
1.040 


9.639 
7.742 


142 
7.601 


25 
8,343 


19 

2.657 


6 
754 


966 


756 


9 
1,445 


939 

5 
345 


1.588 


22 
2,080 


539 

1,822 

653 

648 


2 
874 


42 

1.652 

9 

12,452 

6 

21.735 

54 

527 

7.572 

17 

55 

10.126 

27 

58 

3.525 

64 

38 

2,022 


3.071 

84 

1 

2.017 

2 

17 

1.728 

49 

1,408 

23 

10 

316 

15 

4 

2.302 

132 

32 

2,215 


680 


3,022 

21 

811 

14 

882 

50 

4 

1,103 


227 

1.251 

2,712 

68 

1.039 

2,324 

61 

449 

718 

20 

304 

649 

138 

872 

1.681 

45 

1.624 

4.011 

32 

372 

919 

63 

177 

388 

88 

392 

689 

168 

3.262 

108 

3.569 

413 

21 

2.152 

205 

1 

3.631 

125 

10 


479 
1 

324 
17 
38 

248 


90 

207 

2 

7 

292 

107 

29 


31 

328 

4 

21 
365 


308 
168 
25 

7 

172 

1 


304 
174 


1.890 
619 


4.076 
4.335 


144 


364 
149 
51 

27 
165 
279 
74 
24 
84 


533 
409 


119 


Table  8.  —  Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,  1987 — Continued 


County  by  State 

Crime 
Index 
total 

Modified* 
Crime 
Index 
total 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
theft 

Motor 

vehicle 

theft 

Arson* 

FLORIDA 

5,444 

1,627 

312 

7,758 

11,836 

4,095 

6,788 

107,185 

13,477 

840 

3,479 

29,911 

5,245 

2,368 

8,763 

5,452 

3,802 

1,416 

2,697 

25,952 

2,632 

24,811 

10,651 

12,670 

17,848 

3,069 

3,440 

2,725 

10,112 

5,730 

5,444 

441 

1,134 

152 

942 

S8 

19 

7,702 
11,620 

1,366 

1,063 

144 

346 

40,230 

1,990 

334 

619 

39 

8,713 
11,791 
978 
301 
283 
155 
282 
106 
713 
234 

7,078 
976 
487 

2.186 

5,476 

7.789 

11.890 

4.122 

6.815 

107.719 

IJ.556 

843 

3,490 

29,990 

5,253 

2,375 

8.806 

5.471 

3.814 

1.417 

2.697 

25.955 

2,644 

24,880 

10,714 

12,758 

17,938 

3.087 

3.468 

2.742 

10.158 

5.757 

5.458 

7.751 
11.711 

40.394 

621 

8.754 

155 
282 

7.099 
2.199 

2 
5 
1 
5 

30 
3 

15 
173 

10 
7 
3 

22 

16 
4 

11 
8 
6 

27 
31 

27 
10 

46 

47 

2 

43 

103 

8 

54 

565 

150 
18 
19 

164 
37 
30 
82 
78 
26 
11 
23 

139 
19 

198 

108 
76 
52 
24 
25 
32 
48 
8 
44 

3 
7 

94 

29 

6 

191 

703 

56 

150 

5.850 

371 

15 

16 

1,086 

156 

61 

156 

89 

62 

33 

50 

716 

116 

413 

105 

194 

409 

54 

64 

24 

99 

130 

112 

2 

13 

1 

8 

412 

82 

27 

606 

879 

299 

403 

8,991 

1,343 

117 

334 

1.866 

89 

313 

674 

583 

437 

82 

99 

1.376 

110 

1.457 

741 

709 

1,151 

346 

239 

271 

728 

393 

328 

22 

12 

5 

41 

6 

1 

267 

23 

45 

25 

10 

65 

518 

127 

40 

13 

3 

209 

376 

45 

34 

7 

4 

5 

5 

52 

17 

237 

60 

13 

75 

1.997 

398 

88 

1.831 

3.016 

791 

2,232 

26,993 

3.616 

285 

914 

8.959 

1.959 

898 

2,679 

2,022 

1,180 

445 

630 

8,351 

1,098 

7,090 

2,605 

3.687 

5,173 

776 

1.138 

685 

2.508 

1.677 

2.242 

200 

440 

76 

291 

14 

6 

2.111 

3.179 

468 

441 

35 

22 

10,474 

567 

125 

301 

4 

2,308 

2,842 

293 

96 

159 

43 

103 

63 

317 

92 

2.368 

456 

208 

685 

2,630 
901 
165 
4.656 
5.906 
2,744 
3,572 

49,858 

7.339 

368 

2.059 

15.694 
2.356 
927 
4.439 
2,403 
1.881 
759 
1.767 

13.555 
1.128 

13.335 
6,624 
7,278 

10.071 
1,710 
1,775 
1,575 
6.322 
3.187 
2.402 

178 

589 

61 

507 

36 

8 

4.426 

6.718 

772 

537 

75 

233 

22.387 

1.069 

147 

271 

21 

4.697 

7.358 

547 

139 

95 

86 

156 

16 

274 

103 

3.687 

345 

230 

1.322 

263 
165 

23 
426 

1.199 
194 
362 
14,755 
648 
30 
134 

2,120 
632 
135 
722 
269 
210 
83 
123 

1,788 
155 

2,287 
461 
718 
965 
154 
196 
133 
400 
331 
306 

36 

70 

9 

89 

2 

3 

667 

1,371 

43 

46 

20 

17 

5,207 

191 

16 

26 

U 

1,183 

970 

68 

21 

16 

18 

16 

16 

58 

15 

457 

90 

29 

77 

32 

31 

54 

ClflV                             

27 

Collier         

27 

Dade          

534 

79 

3 

11 

79 

Lee            

8 

7 

43 

Marion           

19 

Martin          

12 

I 

3 

Osceola       

12 

69 

Pasco 

63 

88 

Polk        

90 

18 

28 

17 

46 

27 

14 

GEORGIA 

Bibb 

3 

Butts 

5 

Chattahoochee 

8 
9 
9 

1 
2 

55 

48 

6 

3 

1 

5 

280 

10 

3 

3 

168 

272 

23 

10 

1 

4 

1.316 

25 

2 

5 

Clayton  Police  Department 

49 

91 

Columbia      

Dade  

DeKalh 

DeKalb  Police  Department 

48 
1 

1 

164 

Douglas      

Effingham           

2 

13 

2 
2 

1 
1 

32 

45 

8 

6 

4 

271 

198 

15 

4 

1 
4 

41 

Gwinnett      

Jackson 

Lee 

Madison  

1 
1 
7 

1 
2 

2 
2 
48 
13 
3 

9 

Oconee  

3 
3 
5 
261 
12 
1 

14 

Paulding  

Peach 

Richmond 

20 

21 

Walker    

Walton 

3 

4 

IDAHO 

Ada 

13 

120 


Table  8.  —  Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,  1987 — Continued 


County  by  State 

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* 

ILLINOIS' 

2,120 

74 
709 

44 
337 

47 
322 

89 
463 

16 

1,780 

316 

15,986 

526 

815 

125 

841 

123 

2,359 

155 

918 

132 

839 

50 

236 
169 

295 
442 
529 
559 
1,832 
290 
245 
490 
208 

712 
341 
326 
464 

1,782 

16,032 

815 

848 

2.377 
925 
843 

237 
169 
301 
442 
532 
559 
1,841 
291 
250 
494 
208 

1 
1 

15 

1 
16 

51 
35 

11 

54 

4 

163 

125 

5 

3 

8 

32 

75 

19 

136 

27 

17 

22 

40 

3 

6 

52 

8 

57 

47 

9 

210 

101 

209 

16 

48 

5 

2 

6 

17 

8 

4 

2 

92 

74 

191 

106 

43 

10 

8 

39 

33 

33 

141 

22 

8 

6 

25 
33 

125 
494 

58 

1,238 

680 

69 

47 
114 
502 
344 
228 
1,027 
452 
169 
170 
410 

26 

98 
384 

99 
631 
601 

82 
950 
830 

558 

17 

296 

8 

145 

6 

95 

39 

104 

1 

343 

25 

3,659 

37 

260 

33 

153 

12 

554 

40 

236 

24 

104 

2 

80 

39 
107 

72 
144 
173 
459 
112 

58 
201 

92 

229 

631 

47 

2,687 

1,695 

175 

108 

105 

727 

400 

297 

1,553 

860 

151 

433 

502 

35 

50 

689 

133 

629 

872 

169 

1,688 

1,256 

1,208 

33 

308 

21 

170 

25 

191 

30 

326 

6 

1,059 

91 

10,149 

222 

447 

55 

609 

40 

1,592 

57 

488 

66 

682 

33 

120 
92 
168 
325 
334 
243 
991 
100 
174 
249 
100 

11 

47 

7 

460 

275 

12 

14 

11 

70 

51 

15 

333 

110 

16 

26 

26 

3 

7 

47 

7 

70 

105 

2 

223 

107 

113 

6 

50 

10 

17 

9 

17 

8 

25 

7 

247 

120 

1.579 

151 

58 

26 

63 

27 

140 

22 

40 

20 

32 

6 

10 
5 

19 
11 
24 
22 
97 
21 
9 
23 
12 

2 

8 

Clinton 

Cook         

3 
1 
1 

32 

40 

5 

5 

2 

Kane 

6 
6 

3 
26 
3 
3 
1 
9 

16 

Kankakee  

4 

23 

Kendall 

13 

Lake            

1 

51 

3 

9 

1 

I 

6 

1 

4 

Peoria          

2 
2 
9 

4 
2 
20 
20 
2 
37 
37 

15 
1 
3 

16 

1 

16 

13 

1 

Will 

5 
3 

2 

47 

Winnebago 

1 

INDIANA 

Elkhart                  

Elkhart  Stale  Police 

3 

3 

Hamilton  State  Police 

4 

1 
1 

12 

4 

2 

3 

1 

Howard  State  Police 

Lake 

95 
14 

31 

3 
301 

8 

1 

4 
4 
23 
2 
4 

2 

Lake  State  Police 

46 

Marion  State  Police          

Monroe         .    .           

1 

Porter                                  

7 

Porter  State  Police       

3 

18 

Saint  Joseph  State  Police    .  . 

7 

Vanderburgh   

6 

2 

1 

4 

IOWA 
Black  Hawk 

1 

Breiner        

Dallas 

1 

6 

34 

21 
120 
256 
54 
4 
14 
4 

4 

1 
8 
2 

1 

2 

3 

Polk    

1 
1 

21 

9 

1 

Scott  

5 

Warren 

1 

4 

Woodbury 

See  footnote  at  end  of  table. 


121 


Table  8.  —  Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,  1987 — 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 


KANSAS 

Butler  

Douglas    

Jefferson 

Leavenworth 

Miami 

Sedgwick 

Shawnee 

Wyandotte 

KENTUCKY 

Boone        

Boone  Police  Department 

Boone  Slate  Police 

Bourbon  

Bourbon  State  PoHce 

Boyd 

Boyd  State  Police 

Bullitt      

Bullitt  Police  Department 

Bullitt  State  Police       

Campbell  Police  Department . 

Campbell  State  Police 

Carter  

Carter  State  Police 

Christian  

Christian  Police  Department . 

Christian  State  Police 

Clark  

Clark  State  Police 

Daviess 

Daviess  State  Police 

Fayette  State  Police 

Greenup 

Greenup  State  Police 

Henderson 

Henderson  State  Police 

Jefferson  Police  Department 
Jefferson  State  Police 
Jessamine 

Jessamme  Slate  Police 

Kenton  Police  Department... 

Kenton  State  Police  

Oldham  Police  Department... 

Oldham  State  Police 

Scott 

Scott  Police  Department 

Scott  State  Police 

Shelby     

Shelby  State  Police 

Woodford 

Woodford  Police  Department 
Woodford  State  Police 

LOUISIANA 

Bossier 

Caddo    

Calcasieu 

East  Baton  Rouge 

Jefferson 

Lafayette 

LaFourche 

Livingston 

Ouachita 

Rapides 


400 
240 
336 

289 

211 

1,700 

739 

78 


39 
708 

76 

73 

89 

43 
179 

96 
209 

58 
249 

13 

17 
161 
275 
119 

27 
146 

46 
265 
223 

15 

51 
125 
253 

78 
18.833 

17 
163 

81 
241 

23 
292 
103 
105 

53 

35 

76 
181 

70 
223 

I 


780 

1,996 

4,582 

8,848 

28,312 

2,165 

710 

907 

2,033 

1,597 


402 
247 
342 
300 
219 
1,709 
751 
79 


39 

715 

80 

91 
43 
179 

209 

68 
250 

14 

17 
164 
282 
121 

37 
147 

47 
266 
228 

15 

51 
127 
255 

83 
18,992 

18 
164 

86 
249 

23 
294 
109 
106 

54 

35 

76 
181 

70 
225 

12 


786 

2,011 

8,884 

28.417 

2,185 

729 

2,038 
1,600 


2 
1 
2 

125 


7 
23 
53 
33 
142 
27 


508 
1 


20 

70 

100 

918 

19 

6 

1 

13 

15 


12 
15 
18 
23 
19 
175 
30 
15 


12 

3 

1 

13 

13 

3 

2 

23 

20 

51 

6 

10 

4 

2 

7 

4 

5 

16 

20 

15 

908 

3 

3 

6 

4 

2 

25 

18 

7 

4 

4 


21 


186 

66 

133 

138 

80 

631 

250 

15 


13 

231 

9 

28 

45 

43 

92 

16 

92 

16 

107 

4 

4 

81 

118 

17 

9 

58 

20 

81 

107 

1 

27 

61 

73 

30 

4,639 

2 

63 

49 

122 

1 

110 

29 

44 

18 

10 

3 

66 

35 

81 


165 
139 
161 
106 

94 
751 
415 

44 


26 

391 

48 

39 

22 


56 
76 
99 
21 
116 

2 

11 

40 

113 

48 

4 

71 

15 

169 

91 

7 

15 

28 

148 

26 

11,280 

9 
90 
17 
92 
16 
137 
38 
48 
22 
11 
64 
62 
33 
105 

9 


55 

222 

480 

152 

771 

925 

421 

1,310 

2,604 

489 

2,310 

5,490 

1,397 

6,813 

17,039 

145 

739 

1,102 

50 

266 

352 

64 

480 

324 

149 

577 

1.179 

86 

396 

1,028 

28 
19 
21 
13 
16 
102 
33 
2 


42 
7 
1 
4 


14 
8 
8 


17 
2 
4 
6 
4 
7 

12 
2 
4 

14 

II 
5 
1,362 
2 
6 
5 

17 
2 
9 

15 
6 
4 
8 
9 

14 


14 

101 
117 
423 
1,987 
127 
23 
37 
90 
58 


122 


able  8.  —  Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,  1987 — Continued 


County  by  State 


Crime 
Index 
total 


Modified* 
Crime 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


Arson* 


LOUISIANA— Continued 

iint  Charles 

aint  Tammany 

errebonne  

/est  Baton  Rouge 


MAINE 


ndroscoggin         

ndroscoggin  State  Police.. 

umberland        

umberland  State  Police  .... 


MARYLAND 


llegany  

Uegany  County  Investigator 

llegany  State  Police 

nne  Arundel  Police  Department  . 
nne  Arundel  State  Police 

■altimore  Police  Department   

altimore  State  Police 

alvert 

alvert  Stale  Police 

arroll 

arroll  State  Police 


:il 


ecil  State  Police 

Iharles 

Iharles  State  Police 

Tederick 

rederick  State  Police 

afford 

^afford  Stale  Police 

oward 

oward  State  Police 

lontgomery 

lontgomery  Police  Department 
lontgomery  State  Police 

ueen  Anne's 

uecn  Anne's  Stale  Police 

'ashmgton  

•''ashinglon  State  Police 

MICHIGAN 

'ay  

*ay  State  Police 

errien 

errien  Stale  Police 

alhoun 

alhoun  Stale  Police 

'linton 

linton  Slate  Police 

.aton 

aton  Slate  Police 

ienesee  

ienesee  State  Police 

ngham 

ngham  Stale  Police 

ackson  

ackson  Slate  Police 

Lalamazoo       

Lalamazoo  Slale  Police 

lent        

Lent  State  Police 

.apeer  

-apeer  State  Police 

-ivingston 

.ivingston  Slale  Police 


1,832 

3,792 

2,900 

425 


268 

55 

710 

105 


40 

2 

684 

14,965 

1,480 

40,290 

269 

309 

767 

32 

1,928 

421 

1,218 

3,248 

521 

343 

1,064 

2,909 

773 

7,448 

535 

15 

27,383 

50 

129 

533 

692 

631 


850 

789 

1,233 

1,091 

480 

333 

371 

36 

2,149 

453 

322 

1,000 

1,422 

335 

988 

1,066 

2,353 

42 

3,456 

718 

824 

322 

970 

854 


1,839 
3,809 


269 

55 
713 
105 


40 
2 

15,083 

40,688 

309 

32 

421 

3,248 

343 

2,909 

7,448 

15 
27,920 

129 

692 


856 

1 

802 

1 

1,127 

1 

484 

2 

345 

1 

372 

36 

2.157 

461 

326 

1.034 

1 

1,434 

M7 

1,015 

1,070 

6 

2.358 

2 

44 

3,475 

731 

834 

331 

979 

860 

4 

82 

16 

199 

6 

I 

9 


165 


7 

285 

21 

1,416 

1 

1 

9 

22 
1 
16 
39 
14 
4 
II 
59 
14 
90 
14 


683 


378 
298 
394 

124 


1 

2 

70 

577 

123 

3,897 

80 

16 

160 

215 

47 

206 

345 

55 

3 

135 

287 

100 

240 

40 

15 

842 

18 

12 

81 

55 

84 


28 
28 
100 
80 
31 
38 
15 

3 
54 
29 
47 
79 
56 

8 

90 

328 

64 

3 
135 
22 
37 
38 
32 
46 


422 

877 

1,090 

2.119 

728 

1.610 

90 

176 

83 

20 

268 

37 


8 


177 

3.660 

181 

8,334 

23 

90 

162 

8 

428 

133 

441 

730 

88 

74 

256 

806 

183 

1,504 

86 


5,036 


42 
127 
159 

197 


156 

25 

362 

51 


31 


402 

9,031 
939 
22,588 
135 
192 
384 
24 

1,133 
225 
432 

1,875 
304 
244 
594 

1,594 
361 

4,840 
307 


18.095 
19 

72 
274 
422 
286 


158 

606 

155 

520 

372 

662 

264 

647 

176 

234 

123 

144 

144 

182 

15 

11 

463 

1,419 

53 

346 

63 

176 

259 

527 

389 

873 

20 

252 

201 

616 

201 

441 

625 

1,519 

7 

27 

623 

2,394 

164 

487 

239 

493 

108 

121 

263 

614 

233 

490 

86 
216 
123 

22 


24 

1,316 

198 

3.824 

23 

9 

43 

109 

14 

105 

227 

55 

14 

60 

139 

105 

733 

83 


2,545 
13 
2 
29 
41 
43 


38 
39 
59 
48 
26 
12 
19 
5 

141 
14 
26 
71 
78 
35 
32 
44 

113 
3 

220 
35 
39 
21 
43 
63 


123 


Table  8.  —  Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,  1987 — Continued 


County  by  State 

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* 

MICHIGAN— Continued 

Macoinb 

2,449 

768 

676 

33 

2.562 

1,157 

1,319 
339 

7,653 
754 

1,619 
341 

1,257 
831 

1,664 
575 

4,443 
932 
820 
362 

493 
206 
279 

1,076 
165 
247 
171 
537 
413 
187 
869 
397 
415 
853 
769 

1.252 

2,479 
601 

622 

349 

285 

324 

1,148 

1,208 

496 

156 

413 

1,776 

13,249 

123 

5 

1,602 

5 

563 

32 

824 

2,471 

782 

677 

34 

2,607 

1.190 

1.323 
340 

7.732 
776 

1,630 
342 

1,269 
862 

1,689 
591 

4,468 
947 
824 
412 

500 
210 
282 

1,079 
166 
250 
178 
537 
416 
187 
890 
400 
416 
857 
786 

1,255 

2,496 
605 

350 
287 
326 
1,159 
1,211 
498 

414 

1,788 

13,390 

123 

5 

1,626 

5 

570 

32 

824 

2 

3 

3 
1 

15 

9 

6 

4 

17 

24 

18 

4 

40 

21 

32 

9 

6 

27 

44 

7 

44 

38 

7 

27 

1 
2 
1 

9 
1 
3 
6 
4 
4 
1 

42 
1 
3 

11 
4 

12 

49 
16 

4 

3 

5 
10 

1 

4 
11 

53 

26 

4 

28 
8 

76 

14 

105 
18 

13 

2 
2 
1 
3 
2 
3 
2 

83 

47 

24 

3 

156 
95 
65 
22 

387 

78 

47 

9 

114 
60 
66 
37 

255 

102 
44 
48 

7 
13 
11 
32 
9 
9 
7 

16 

9 

2 

32 

5 

19 
9 
18 
16 

46 
35 

75 

27 
1 

40 
125 
135 

12 
1 

46 
106 
774 

8 
3 
11 

17 
12 
24 

513 
213 
141 

12 
653 
309 
311 

98 
1,712 
228 
470 
107 
220 
177 
394 
214 
1,083 
149 

33 

46 

199 

38 

72 

210 

79 

70 

51 

202 

173 

36 

425 

129 

99 

154 

228 

307 

1.492 
282 

221 
142 
129 
160 
404 
315 
183 
58 
124 
483 
3.003 

38 

1,519 

446 

482 

13 

1,545 
656 
860 
199 

4,855 
387 
994 
197 
834 
513 

1,073 
273 

2,639 
468 
636 
161 

234 
134 
166 
764 

70 
142 

92 
264 
200 
122 
313 
223 
258 
644 
476 
844 

623 
226 

293 

163 

135 

102 

526 

690 

256 

92 

219 

1,045 

8.236 

65 

291 

49 

20 

1 

160 
64 
60 
11 

580 
31 
65 
17 
72 
47 
71 
41 

312 

153 
95 
66 

49 
16 

28 
57 
4 
20 
13 
48 
24 
26 
56 
37 
36 
33 
39 
71 

217 
29 

20 

16 

16 

16 

77 

51 

38 

5 

18 

116 

1,004 

12 
2 

71 
1 

22 
4 

48 

22 
14 

Midland             

1 

1 

45 

33 

4 

3 
4 

1 

Oakland                                              

79 

Oakland  State  Police          

22 

U 

I 

2 

2 

5 
4 

12 

31 

25 

Saint  Clair  State  Police     

16 

25 

15 

Wayne                                 

4 

Wavne  State  Police 

1 

1 
1 

1 

50 

MINNESOTA 

7 

Benton            

4 

Carver 

3 
3 

Clay 

1 

3 

7 

3 

3 

3 

1 
2 

21 

Scott                                            ...    . 

3 

1 

Steams 

2 

2 
2 
2 

45 
8 

6 

1 

4 
17 

Wright                                   

3 

MISSISSIPPI 

7 
5 

3 

1 

3 

2 
4 

1 
3 
8 

17 

Hinds                 

4 

MISSOURI 
Boone 

Cass 

Clay 

6 
8 

5 
2 

Franklin 

11 

JasiKr 

Lafayette 

Platte 

1 

12 

171 

12 

Saint  Louis  Police  Department 

NEBRASKA 
Dakota 

141 

Dakota  State  Patrol 

1 

1 

9 
6 
3 

5 
2 

403 

150 

1 

180 

1.102 

4 

365 

15 

567 

24 

7 

Sarpy 

2 

124 


fable  8.  —  Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,  1987 — 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 

thefl 


Arson* 


NEBRASKA— Continued 


iarpy  State  Patrol . 
Vashinglon 


Vashoe 


NEW  JERSEY 


Vtlantic  State  Police 

iergen  State  Police 

iurlington  State  Police.... 

Tamden  State  Police  

^ape  May  State  Police.... 
-umberland  State  Police . 

Essex  County  Police 

■issex  Slate  Police 
Gloucester  State  Police,  ,. 

Hudson  State  Police 

Hunterdon  State  Police  ... 

Kercer  State  Police 

hliddlesex  State  Police 

l4onmouth  State  Police... 

ilorris  State  Police 

Ocean  State  Police 

assaic  State  Police 

>alem  State  Police 

iomerset  State  Police 

lUssex  Slate  Police 

Union  State  Police 

Warren  Stale  Police 


NEVADA 


NEW  MEXICO 


Bernalillo   . 
Oona  Ana . 


NEW  YORK 


\lbany  

(Albany  State  Police 

Broome    

Broome  State  Police 

Chemung 

!hemung  State  Police 

Jutchess 

Jutchess  State  Police 

jreene 

jreene  State  Police 

■lerkimer      

-lerkimer  State  Police 

ivingston 

ivingston  State  Police 

vladison     

Vladison  State  Police 

VIonroe   

Vlonroe  State  Police 

Vlontgomery 

Montgomery  State  Police . 

Vassau       

Vassau  State  Police.... 

Viagara 

Niagara  State  Police 

Oneida 

Oneida  State  Police 

Ontario 

Ontario  State  Police 

Orange 

Orange  State  Police 


1,992 


1,216 

435 

1,054 

49 

672 

1,022 

624 

62 

19 

38 
218 
519 
155 
335 

60 
219 

31 
512 

13 
571 

49 
278 


5,156 
1,784 


115 

718 

791 

784 

469 

480 

1,141 

1,138 

10 

609 

33 

500 

729 

193 

58 

434 

5,577 

1.109 

263 

127 

32,767 

83 

2,001 

723 

612 

1,389 

1,094 

507 

16 

1,824 


6 
101 


1,239 

435 

1,054 

50 

675 

1,022 

629 

62 

19 

38 
218 
519 
155 
336 

60 
219 

31 
512 

13 
571 

49 
278 


5.176 


117 

720 

800 

794 

475 

486 

1.166 

1,144 

10 

615 

33 

521 

733 

193 

58 

439 

5,616 

1,112 

267 

128 

32,939 

85 

2,002 

728 

612 

1,406 

1,109 

507 

16 

1,856 


66 


28 


100 
27 


55 


1,010 

16 

36 

2 

4 

10 

3 

1 


125 


41 

15 
53 
12 
19 
75 
118 

8 

1 

5 
17 

2 

16 
21 

6 
12 

5 
29 

1 
31 

6 
19 


457 
96 


44 
10 
27 
38 
55 
120 
166 


68 


48 


16 
61 

23 

1 

17 

49 

15 

2 

4 

751 

12 

135 

27 

7 

90 

74 

7 

15 

85 


25 


618 


155 

36 

293 

3 

305 

363 

54 

3 

4 

4 

61 

44 

2 

72 

4 

36 

2 

153 

3 

144 

3 

76 


2,271 
923 


34 
225 
194 
197 
103 

62 

292 

326 

4 

207 


253 

143 

37 

14 

177 

754 

95 

71 

21 

6.592 


469 
201 
231 
325 
307 
97 


1,056 


938 
261 
581 

26 
290 
500 
265 

33 
8 

20 
114 
448 
109 
212 

44 
153 

18 

273 

7 

353 

26 
144 


1,944 
628 


64 
416 
543 
529 
290 
353 
656 
551 
6 
304 

33 
225 
508 
124 

36 

227 

4.474 

945 

175 

92 
18.666 

47 
1.225 
472 
334 
917 
659 
391 


98 


53 
116 
100 

6 
47 
54 
68 

7 

4 

4 
25 
22 
1 
22 

4 
15 

4 
41 

2 
34 

8 
33 


314 

87 


25 


1 
9 
4 
5 

7 

220 

41 

12 

7 

5,643 

3 

114 

19 

29 

24 

40 


541 


1,022 


113 


125 


Table  8.  —  Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,   1987 — 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 


NEW  YORK— Continued 

Orleans 

Orleans  State  Police 

Oswego        

Oswego  State  Police 

Putnam      

Putnam  Stale  Police 

Rensselaer         

Rensselaer  State  Police 

Saratoga   

Saratoga  State  Police 

Schenectady     

Schenectady  State  Police 

Suffolli 

Suflblk  State  Police 

Tioga 

Tioga  State  Police 

Warren 

Warren  State  Police 

Washington 

Washington  State  Police 

Wayne     

Wayne  Stale  Police 

Westchester 

Westchester  State  Police 

NORTH  CAROLINA 

Alamance 

Alexander 

Buncombe 

Burke 

Cabarrus  

Catawba  

Cumberland 

Davidson 

Davie 

Durham 

Forsyth 

Franklin 

Guilford 

Lincoln 

Mecklenburg 

New  Hanover 

Onslow 

Orange 

Randolph 

Rowan 

Stokes 

Union 

Wake 

Yadkin 

NORTH  DAKOTA 

Burleigh    

Cass  

Grand  Forks 

Morton 

OHIO 

Auglaize 

Belmont 

Clermont 

Delaware 

Franklin 

Fulton 

Geauga 

Greene 


275 
135 
540 
754 
652 
270 
419 
580 

1.608 

841 

6 

90 

46,121 

133 

312 

179 

1. 112 
268 
386 
320 
903 
683 
743 
669 


174 
210 
150 
122 


283 
491 

1,193 
514 

4,680 
362 
489 
489 


275 
136 
606 

755 

271 
431 
584 
1,622 
846 

93 
47,430 
136 
319 
181 
1. 119 
268 
386 
320 

689 
743 
702 


1,108 

1,120 

367 

368 

1,828 

1,835 

1,016 

1.036 

778 

785 

1.351 

1.371 

9,938 

10.038 

1,260 

1.267 

475 

478 

1,157 

1.163 

1.752 

1.827 

450 

456 

2.419 

2.427 

970 

974 

4,006 

4.031 

2,139 

2.147 

2,791 

2.815 

1,499 

1.500 

1,231 

1.238 

1,418 

1.421 

224 

224 

1,143 

1.145 

3,328 

3.371 

276 

278 

174 
210 
150 
122 


283 
521 

516 

4.714 

367 


36 


2 
194 

3 


10 
3 

18 
2 
6 
4 
106 
4 
7 
2 

II 
7 

II 
5 

20 

13 

19 
8 
3 

15 
2 
7 

25 
I 


1.251 

7 
3 
1 

4 

1 
1 

2 

2 

4 
17 


12 

12 

7 
10 

6 

175 

II 

4 

8 
20 

4 
23 

5 
58 
22 
42 
12 

6 
12 

2 

69 

4 


2 
4 
4 
3 
149 
2 
5 
1 


28 

20 

7 

17 
23 
19 
84 
26 
106 
25 


1.336 

20 

41 

5 

3 

4 

56 
41 
17 
28 
30 
53 


14 
17 
84 
3 
241 
43 
66 
61 


97 

57 

155 

278 

204 

75 

95 

198 

435 

266 

3 

35 

10.071 

39 

58 

78 

257 

72 

104 

126 

289 

211 

23 

195 


138 

54 
321 
416 
349 
155 
213 
304 
993 
510 
3 

42 
28.896 

56 
189 

81 
797 
181 
200 
138 
565 
408 
621 
355 


45 

378 

597 

8 

191 

141 

37 

710 

942 

72 

404 

461 

10 

309 

401 

327 

367 

580 

335 

3.795 

4.809 

42 

541 

563 

44 

169 

229 

101 

374 

618 

196 

584 

844 

15 

263 

139 

88 

952 

1,238 

35 

398 

456 

303 

1.434 

2,049 

99 

701 

1,183 

295 

931 

1,393 

17 

787 

612 

73 

559 

531 

60 

637 

602 

17 

58 

127 

48 

524 

494 

120 

1.419 

1,467 

8 

92 

157 

120 
138 
92 
66 


103 

138 

113 

313 

350 

661 

123 

319 

969 

2,917 

93 

200 

129 

238 

119 

277 

9 
3 
51 
30 
66 
18 
22 
45 
52 
20 


3 
4,337 

8 
21 
14 
47 
10 
19 
12 
17 
30 
56 
37 


61 
23 

106 
67 
40 
60 

707 
90 
21 
53 
88 
18 

103 
69 

136 

119 

107 
56 
56 
89 
20 
67 

217 
13 


6 
20 
12 

6 


14 

39 
70 
56 
352 
20 
46 
22 


126 


I,  Rable  8.  —  Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,  1987 — Continued 
- 


County  by  State 


Crime 
Index 

total 


Modified* 
Crime 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 
theft 


Arson* 


OHIO — Continued 


Hamilton 

^ke 

^orain 

,ucas 

vlahoning 

vliami        

vlontgomery.. 

lichland 

;iark   

Trumbull 

Varren      

Vashmgton  ... 
A'ood 


OKLAHOMA 


riackamas... 

ackson 

-ane 

ilultnomah.. 

'oik 

Washington  . 
Yamhill 


^nadian 

Cleveland 

Comanche 
>eek 

jarfietd 

.ogan  

-IcClain 

)klahoma 

)sage 

•ottawatomie.. 

logers    

•equoyah 

'ulsa 

Vagoner 


OREGON 


PENNSYLVANIA 


i^dams  State  Police 

(VUegheny  State  Police 

leaver  State  Police 

Jerks  State  Police 

Mair  State  Police 

Bucks  State  Police 

Cambria  State  Police 

tirbon  State  Police 

Centre  

Centre  State  Police 

Chester  State  Police 

!olumbia  State  Police 

!umberland  State  Police 

3auphin  State  Police  

Delaware  Criminal  Investigation 

Division 
Oelaware  State  Police 
Erie  State  Police 

Fayette  State  Police 

Lackawanna  State  Police 

Lancaster  State  Police    

Lebanon  State  Police 

Lehigh  State  Police 

Luzerne  State  Police 

Lycoming  Stale  Police 

Mercer  Slate  Police 


8.008 

653 

1,038 

1,420 

I 

874 

4,205 

1.392 

2.741 

423 

2,154 

655 

378 


170 
410 
359 
780 
175 
396 
177 
402 
471 
590 
647 
281 
2,121 
523 


7,615 
1,430 
1,130 
5,822 

418 
4,511 

517 


534 
655 
264 
655 
378 
448 
279 
469 
2 
738 
1,848 
442 
453 
777 

19 

931 

1,275 

1,720 

228 

1,038 

324 

777 

793 

814 

446 


8.072 

653 

1,055 

1.432 

880 
4,263 
1,392 

2.758 


659 
378 


174 
421 
361 
783 
176 
415 
178 
402 
477 
592 
651 
281 
2.135 
529 


7,637 
1.432 
1 . 1 34 
5.877 

419 
4,534 

524 


550 

2 

660 

269 

1 

664 

7 

390 

451 

3 

299 

470 

1 

7 

760 

1.891 

7 

445 

1 

464 

834 

19 

1 

947 

1,301 

2 

1,884 

7 

234 

1,057 

4 

334 

1 

780 

1 

822 

5 

830 

450 

47 

HI 

2 

4 

21 

19 

12 
1 

6 

12 

5 

45 

189 

4 

12 

2 

75 

2 

2 

17 

10 

9 

5 

1 

2 

96 
10 

9 
169 

6 
76 

3 


95 

4 

297 

43 

6 

100 

88 
132 

88 

16 
157 

14 

12 


1 
39 
23 
57 

I 
34 

1 
40 
17 
60 
19 

2 

173 

11 


66 
81 

8 
263 

I 
34 

9 


29 

77 

17 

37 

13 

64 

12 

10 

I 

30 

114 

5 

24 

84 


21 
54 
65 
14 
153 
22 
37 
74 
9 
16 


1.302 

6,091 

150 

456 

336 

331 

379 

887 

56 

106 

305 

395 

1,092 

2.511 

346 

822 

1,031 

1.358 

159 

154 

389 

1.488 

244 

357 

114 

232 

68 
180 
167 
366 

74 
146 

89 
201 
226 
266 
316 
197 
611 
281 


2.692 
449 
400 

1.784 
202 

1,616 
210 


221 
179 
105 
240 
130 
112 
131 
259 
1 
270 
831 
76 
177 
206 


171 
436 
730 
123 
365 
93 
219 
261 
282 
153 


82 
140 
147 
218 

92 
195 

56 
128 
175 
210 
249 

67 
880 
172 


4.100 
791 
640 

2.881 
171 

2.416 
245 


219 

262 
105 
294 
207 
220 
100 
168 


378 
669 
339 

205 
422 


563 

665 

642 

69 

424 
182 
439 
378 
473 
229 


359 
36 
33 
92 
19 
56 

276 
76 

186 
90 
89 
26 
17 


14 

27 
9 

125 
5 
13 
24 
29 
44 
46 
56 
15 

388 
47 


610 
84 
65 

680 
34 

325 
39 


38 
93 
28 
58 
20 
38 
28 
23 


41 

186 

16 

31 

48 


161 
91 

228 
15 
67 
20 
68 
60 
35 
45 


127 


Table  8.  —  Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,  1987 — Continued 


County  by  State 


Crime 
Index 
total 


Modified* 
Cnine 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


PENNSYLVANIA— Continued 


Monroe  State  Police 
Montgomery  State  Police  ... 
Northampton  State  Police.. 

Perry  State  Police 

Philadelphia  State  Police... 

Somerset  State  Police 

Washington  State  Police 

Westmoreland  Detective 

Westmoreland  State  Police . 
York  State  Police 


RHODE  ISLAND 


Kent  State  Police 

Providence  Slate  Police... 
Washington  State  Police. 


SOUTH  CAROLINA 


Aiken  

Anderson 

Berkeley 

Charleston  Police  Department.. 

Dorchester 

Florence    

Greenville 

Lexington 

Pickens 

Richland 

Spartanburg 

York  


SOUTH  DAKOTA 


Minnehaha 
Pennington 


TENNESSEE 


Carter 

Grainger 

Hamilton 

Jefferson 

Knox 

Madison 

Montgomery.. 

Robertson 

Shelby 

Sullivan 

Sumner 

Tipton 

Unicoi 

Union 

Washington  .. 
Williamson ... 


TEXAS 


BeU 

Bexar 

Bowie 

Brazoria... 

Brazos 

Cameron.. 
Collin 

Comal 

Coryell 

Dallas 

Denton ... 


1,214 
467 
406 
488 
70 
523 
715 
35 

2.638 
756 


76 

109 
362 


3.770 
3.957 
2,956 
6,510 
1.218 
2.779 
9.266 
6.169 
862 
8,041 
7.689 
3.148 


241 
708 


416 
337 

1.469 
194 

4.632 
671 
504 
441 

5.502 

2.056 
681 
245 
94 
202 
946 
611 


1.034 

9.272 

954 

1.529 

465 

1.497 

1,123 

800 

160 

730 

1.021 


1.247 

1 

471 

407 

3 

491 

3 

70 

530 

743 

2 

35 

2.721 

3 

771 

2 

76 

110 
364 


3.808 
4,006 
2,977 
6,558 
1,224 
2,804 
9,377 
6,190 
867 
8,095 
7,745 
3,178 


244 
711 


435 

348 
1.558 

196 
4,711 

694 

446 

5,535 

688 
245 
94 
206 
957 
615 


1.063 

9,411 

972 

1,538 

465 

1,523 

1,143 

803 

161 

799 

1.029 


39 
38 
43 
66 
19 
32 
81 
36 
3 
108 
81 
31 


94 
37 
35 

142 
12 
24 

172 

68 

2 

252 

103 
34 


76 

12 

1 

7 

143 

19 

9 

2 


46 

60 

10 

15 

I 

15 

24 

3 

117 

13 


497 
249 
144 
868 

44 
332 
830 
542 

96 

1.115 

651 

222 


24 
29 
112 

187 
37 
47 
47 
173 
138 
47 
27 
I 
34 
45 
44 


585 
127 
133 
216 
18 
268 
281 

919 
341 


26 

II 

125 


1.206 
1.417 

818 
1.741 

467 

915 
2.591 
1.649 

238 
2.284 
1.908 
1.052 


92 
154 


210 
139 
621 
106 

1,761 
248 
228 
193 

1.814 
643 
261 
115 
25 
91 
381 
227 


463 

100 

229 

43 

235 

20 

201 

44 

46 

3 

195 

36 

289 

92 

30 

.230 

326 

342 

46 

30 
53 
178 


1.695 
1.933 
1.703 
3.296 

601 
1.308 
4.966 
3.564 

480 
3.413 
4.492 
1.626 


120 
459 


149 

134 

611 

77 

2.183 

332 

194 

163 

2.459 

1.108 

321 

82 

61 

61 

453 

290 


56 

386 

484 

497 

3.142 

4.624 

51 

341 

479 

76 

586 

742 

12 

233 

192 

115 

840 

461 

72 

477 

472 

9 

306 

441 

4 

81 

66 

80 

277 

297 

83 

442 

357 

233 
275 
206 
388 

72 
159 
604 
301 

40 
851 
444 
180 


27 

32 

98 

10 

383 

32 

33 

26 

832 

132 

36 

14 

6 

10 

54 

34 


76 
849 
56 
79 
21 
60 
62 
33 
9 
59 
112 


128 


Table  8.  —  Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,   1987 — Continued 


~{ 


County  by  State 


Cnme 
Index 
total 


Modified* 
Cnme 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


Arson* 


TEXAS— Continued 


!i   ictor 

*   illis 

;i  Paso 

'ort  Bend .... 

Jalveston 

jrayson 

iregg 

juadalupe... 

il  iardin 

1!   larris 

larrison 

lays 

iilidalgo 

efferson 

ohnson  

Caufman 

.iberty   

.ubbock  

McLennan  

'Iidland 

Montgomery. 

Jueces 

)range 

'arker 

■oiler 

landall 

Lockwall  

an  Palricio  .. 

mith 

arrant 

aylor 

om  Green ... 

"ravis 

ictoria 

Valler 

Vebb  

Vichila 

Vilhamson  .... 


)avis 

;alt  Lake  . 

Utah 

•Veber 


UTAH 


VIRGINIA 

Vlbemarle  Police  Department  ... 

Albemarle  State  Police    

iVmherst 

IVmherst  State  Police 

iJotetourt      

3otetourt  State  Police 

Campbell    

Campbell  State  Police 

rharles  City 

Charles  City  State  Police 

Ihesterfield  Police  Department 

hesterfield  Slate  Police 

Oinwiddie 

Dinwiddle  State  Police 

Fairfax  Police  Department 

Fairfax  State  Police 

Fluvanna 

Fluvanna  State  Police 

Gloucester  

Gloucester  State  Police 
Goochland  


40. 


838 
.018 
056 
528 
.164 
210 
768 
466 
346 
101 
588 
570 
,978 
671 
.147 
901 
905 
,147 
961 
902 
,552 
397 
941 
,265 
178 
31 
266 
706 
,453 
,002 
229 
454 
,989 
592 
301 
288 
360 
.495 


281 

15.765 

328 

680 


1,620 

14 

534 

5 

435 

14 

645 

19 

50 

7 

6,605 

38 

238 

II 

25.637 

84 

92 

1 

598 

13 

192 


1.846 

1.018 

2.061 

2.657 

1.166 

1.223 

774 

466 

348 

40,529 

593 

573 

3.994 

677 

1,148 

903 

905 

1.155 

974 

908 

6.644 

397 

952 

1.269 

182 

321 

267 

710 

2.498 

2,017 

235 

460 

5,028 

598 

305 

288 

363 

1,499 


282 

15,810 

329 

680 


1,620 

19 

553 

5 

438 

14 

653 

20 

50 

7 

6,677 

38 

257 

11 

25,977 

85 

93 

1 

603 

14 

194 


5 

288 

6 


9 

27 

25 

14 

10 

7 

3 

5 

1,088 

8 

2 

38 

15 


529 
1 


19 
55 

143 
56 
26 
21 
44 
3 

17 

1,318 

28 

35 

294 
44 
28 
41 

117 
54 
16 
84 

330 
44 

124 

49 

15 

8 

16 
44 
92 
90 
9 
61 

238 
36 
27 
27 
48 

121 


18 

609 

10 

6 


11 
3 

72 
I 
8 
2 

71 
5 

15 

3 

354 

49 


710 
542 
641 

1,029 
508 
535 
322 
231 
113 
13,778 
267 
278 

2,063 
210 
634 
432 
368 
529 
513 
342 

2,486 
148 
374 
622 
73 
126 
121 
314 
923 
803 
114 
189 

1,875 
204 
181 
76 
174 
465 


70 

2,544 

85 

130 


303 
I 

87 


118 

118 
5 
13 


1.439 

89 

1 

3.543 


1.003 
330 

1,069 

1,240 
539 
575 
331 
205 
175 
18,018 
255 
233 

1.329 
362 
352 
327 
339 
462 
362 
408 

3.190 
166 
362 
492 
76 
149 
92 
311 

1.211 

933 

96 

180 

2.554 
315 
58 
153 
102 
798 


167 

12.051 

212 

490 


1,160 
6 

352 

4 

271 

10 

418 

8 

23 

4 

4,640 

29 

117 

5 

18.972 

26 

34 


438 

6 

92 


76 
78 

137 

172 
65 
56 
51 
22 
29 
5,531 
21 
22 

208 
31 

119 
80 
69 
66 
54 
34 

456 
25 
68 
94 
9 
26 
30 
31 

173 

138 
4 
12 

232 
28 
19 
25 
24 


16 

428 
15 

47 


81 
2 

30 
1 

23 
1 

22 
4 
3 
1 
334 
4 

12 


2.157 
8 

2 

35 
2 
10 


129 


Table  8.  —  Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,  1987 — 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* 

VIRGINIA— Continued 

17 
96 

3 

971 

74 

7.994 

38 

1.052 

3 

1.225 

21 

209 

21 

862 

23 

124 

14 

467 

8 

6.919 

24 

1.883 

22 

191 

10 

833 

61 

552 

15 

1,059 

4 

915 

6.783 

417 

29.918 
3,636 

16,032 
6,970 
7,248 
3.091 
1.699 
4.278 

127 

6 

502 

316 

128 

600 

810 

62 

26 

29 

161 

143 

45 

378 

87 

135 

274 

327 

140 

17 
98 

3 

975 

75 

8.076 

38 

1.053 

3 

1.232 

21 

211 

21 

869 

24 

126 

14 

476 

8 

6,959 

24 

1,894 

22 

192 

10 

843 

61 

561 

16 

1.064 

4 

928 

6.790 

422 

30.361 
3.659 

16.147 
7.054 
7.273 
3.118 
1,704 
4,305 

127 

6 

504 

318 

131 

605 

819 

69 

26 

29 

164 

143 

45 

381 

87 

135 

276 

329 

140 

2 
11 

14 

3 

183 

5 
92 

69 

6 
17 

3 
48 

3 
15 

3 
16 

173 

6 

72 

3 

13 

18 
45 
15 

3 
57 

I 

84 

88 

12 

543 

211 

825 

223 

15 

119 

29 

160 

4 

2 
28 

12 

48 

3 

623 

52 

5,311 

30 

735 

2 

772 

8 

109 

8 

455 

7 

55 

6 

259 

5 

4,791 

13 

1,476 

12 

65 

2 

571 

9 

263 

9 

699 

1 

426 
3.859 

171 
17.278 
2.071 
8.202 
3.135 
4.420 
1.584 

894 
1.907 

69 

2 

313 

130 

44 

291 

299 

26 

4 

11 

70 

67 

26 

225 

29 

59 

131 

208 

75 

1 
8 

1 

2 

3 

1 

16 

5 
49 

10 

1 

192 

258 

9 

1,758 

2 

156 

268 

3 
65 

5 
306 

7 
45 

3 
166 

1 
1.302 

1 
260 

4 
94 

4 
149 

2 
222 

2 
226 

1 

347 
2.270 

192 
9,200 
1.102 
5,711 
2.968 
2,372 
1,179 

670 
1,874 

41 

3 

114 

110 

58 

172 

347 

23 

17 

10 

63 

45 

7 

122 

46 

51 

87 

111 

46 

58 

8 

485 

1 
44 

1 
103 

3 
18 

5 
30 

5 

2 
16 

2 
505 

4 
59 

3 
13 

4 
69 

4 
37 

1 
53 

1 

36 
445 

32 
2.190 
193 
799 
518 
316 
150 

74 
226 

12 

1 

42 

50 

15 

64 

108 

6 

2 

2 

15 

16 

8 

23 

5 

16 

28 

8 

13 

4 

1 

82 

9 

7 

9 

1 

5 
44 

16 

5 
1 

1 

James  Citv  State  PoHce 

1 

3 
2 
I 
3 

7 

Loudoun  State  Police          -- 

New  Kent 

2 

11 

1 

4 

101 

9 

7 

1 

Powhatan 

2 

9 

Pnnce  George  State  Police 
Prince  WiHiam  Pohce  Department 

40 

7 
1 

11 

Roanoke  State  Police 

2 
3 

Scott 

Scott  State  Police                  

4 

22 
1 
6 

13 

1 
10 

Washington                

9 
11 

9 

1 

York                                

5 

York  Slate  Police 

1 
3 
2 

26 
4 
9 
4 
5 
2 
3 

17 

1 

2 

WASHINGTON 

16 

39 

8 

308 
35 

214 
64 
33 
40 
17 
40 

1 

2 
5 

4 

18 

1 

1 

2 

3 
1 
6 

5 
79 

373 
20 

272 
58 
87 
17 
12 
54 

13 

Clark 

7 

5 

443 

23 

115 

84 

25 

27 

5 

King 

KitsaD 

Pierce 

Snohomish 

Thurston 

Yakima                                

27 

WEST  VIRGINIA 

Brooke 

Brooke  State  Police 

Cabell                

5 
7 
2 
5 

10 
1 

2 
1 
1 
5 

4 
4 

24 
13 

9 
60 

27 

5 

4 
11 

8 
3 
4 
4 
6 
16 

2 

Cabell  State  Police 

2 

Hancock 

Kanawha 

Kanawha  State  Police 

3 
5 
9 

Marshall                                    

7 

Marshall  State  Police 

Mineral  Stale  Police 

Ohio 

Ohio  State  Police 

3 

Putnam 

3 

Wayne                         

Wayne  State  Police 

Wood 

2 
2 

Wood  State  Police 

1 

5 

130 


'able  8.  —  Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,  1987 — Continued 


County  by  State 


Cnme 
Index 
total 


Modified* 

Cnme 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 

assault 


Burglary 


Larceny - 

theft 


Motor 

vehicle 

theft 


WISCONSIN 


jlrown 

v'^lumct 

flhippewa  ... 

>ane 

)ouglas 

.au  Claire  -. 

l.enosha  

A  Crosse   .. 

larathon  .. 
,  lilwaukee  .. 

'utagamie 

*zaukee 

.acine 

ock 

aint  Croix.. 

heboygan  -. 

/ashington  . 

/innebago 


laramie . 
(atrona. 


WYOMING 


1.365 
162 
206 

1,284 
396 
425 

1.325 
539 
723 
610 

1,150 
237 
853 
533 
374 
642 
860 
437 


565 
628 


1.368 

163 

206 

1,300 

3')7 

427 

1,340 

2 

542 

1 

726 

6 

61<) 

237 

859 

3 

535 

378 

646 

862 

5 

439 

569 
634 


326 

34 

43 

320 

177 

132 

321 

140 

206 

8 

207 

59 

248 

129 

124 

149 

213 

97 


87 
222 


934 
110 
163 
748 
203 
262 
867 
312 
443 
503 
845 
157 
513 
319 
232 
458 
581 
324 


383 
329 


101 
13 
15 

101 
23 
43 
35 
26 
13 
56 
22 
12 
27 
38 
10 


19 
39 


3 
1 

16 
1 
2 

15 
3 
3 
9 


'Forcible  rape  figures  furnished  to  the  state-level  Uniform  Crime  Reporting  (UCR)  Program  administered  by  the  Illinois  Department  of  State  Police  were  not  in  accordance  with 
Ational  UCR  guidelines.  Therefore,  the  figures  were  excluded  from  the  forcible  rape,  Cnme  Index  total  and  Modified  Cnme  Index  total  categories. 


131 


Table  9.  —  Number  of  Offenses  Known  to  the  Police,  Rural  Counties  25,000  and  over  in  Population,  1987 

[The  data  shown  in  this  table  do  not  reflect  county  totals  but  are  the  number  of  offenses  reported  by  the  shenfTs  ofTice.  county  police  department,  or  state  police.] 
•  Arson  is  shown  only  if  12  months  of  arson  data  were  received.   Leaders  {..  )  indicate  zero  data.  The  Modified  Crime  Index  total  is  the  sum  of  the  Cnme  Index 
offenses,  including  arson. 


County  by  Slate 

Cnme 
Index 
total 

Modified* 
Cnme 
Index 
total 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larcenv- 
thefl 

Motor 

vehicle 

theft 

Arson* 

ALABAMA 

400 
356 
384 
457 
339 
283 
362 
492 
546 

179 
1.055 

525 
1.142 

403 
1,472 
1,166 

679 
325 
301 
892 
502 
291 

1,098 

66 

1,943 

61 

1,495 

145 

1 

1,405 

75 

1,285 

56 

2,035 

98 

1,554 

89 

1,476 

103 

1,606 

104 

758 

9 

1,336 

65 

1,855 

1,662 
2,575 

3,261 
2,914 

360 

362 
494 

180 
1,061 

525 
1.158 

406 
1.482 
1,175 

682 
327 
302 
893 
512 
292 

1.130 

1.967 

1,536 

I 
1,421 

1,301 

2,050 

1,569 

1.482 

1.613 

785 

1.362 

1,860 

1.664 

2.575 

3,261 

2,922 

1 

7 
5 

10 
3 

2 
1 
8 

3 

10 
3 

21 
4 

4 

1 
1 
7 
3 

13 

20 

3 
10 

1 
16 

7 

12 

3 

6 

49 
49 
64 
40 
15 
88 
56 

15 
128 
137 
160 

28 
175 
127 

33 
1 

6 

35 

82 

5 

249 

154 
169 
168 
161 
121 
95 
164 
179 
142 

71 
407 
154 
403 
154 
426 
389 

277 
160 
141 
247 
145 
139 

465 

222 
165 
122 
193 
122 
122 
156 
196 
317 

91 
411 

207 
475 
193 
715 
553 

323 
126 
104 
556 
238 
124 

353 

13 
10 
36 
41 
27 
23 
21 
26 
18 

2 
82 
23 
81 
23 
113 
80 

39 
34 
44 
50 
17 
18 

11 
66 
28 

57 
34 
130 

13 
63 
12 

55 
I 

97 
4 

77 
6 

97 
3 

80 

30 
8 
3 

65 

68 

100 
111 

170 
157 

4 

De  Kalb 

Jackson 

Lawrence 

Marshall       

2 

ARIZONA 

1 

4 
1 
3 
1 
6 
6 

4 

6 

Coconino , 

Mohave 

Navajo           

16 

3 

Pinal '■ 

10 

Yavapai            

9 

ARKANSAS 

Benton 

Craighead       

3 
2 

1 

1 

10 

White 

1 

CALIFORNL\ 

Calaveras        

32 

Humboldt 

4 

21 

27 

263 

2 

138 

2 

303 

798 

520 

802 

2 

761 

13 

568 

12 

521 

793 

1 

545 

11 

916 

6 

862 

24 

355 

1 

668 

1,151 

902 
1,334 

1,967 
1.415 

24 

6 

1 

12 
8 

24 
17 

41 

Impenal  State  Police 

1 
495 

16 

Lake             

3 

10 
4 
4 

5 
21 

14 

3 
37 
16 

356 
1 

430 

322 

1 

145 

175 

385 

743 
649 
388 
531 

16 

Lake  Htehwav  Patrol        

15 

Madera  Highway  Patrol 

15 

1 

16 

6 

1 

19 

15 

7 

San  Luis  Obispo  Highway  Patrol 

Tehama 

1 

6 

11 

52 

303 

27 

Tehama  Htehwav  Patrol 

2 

1 

4 
11 

3 
6 

10 

6 

70 
83 

12 
8 

2 

9 

28 
25 

12 
17 

215 

50 

128 
185 

56 
260 

436 

570 

430 
826 

1,041 
1,051 

26 

COLORADO 
Mesa 

5 

DELAWARE 

Kent  State  Police 

2 

FLORIDA 

Citrus  

8 

132 


'able  9.  —  Number  of  Offenses  Known  to  the  Police,  Rural  Counties  25,000  and  over  in  Population,  1987 — Continued 


County  by  State 


Cnme 
Index 
total 


Modified* 
Cnme 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


FLORIDA— Continued 


blumbia 

'  lighlands 

idian  River . 
iickson 

ake 

lonroe 

utnam      


artow 

UlTOlI 

loyd  Police  Department .. 

lynn 

lynn  Police  Department.. 

ordon 

iberty  

/bitfield 


lawaii.. 
lauai ... 
iaui 


lonneville.. 

lanyon 

lootenai 


idams 
Salle.  .. 

rgle 

ermilion 


GEORGIA 


HAWAII 


IDAHO 


ILLINOIS' 


INDIANA 


*rant  

irant  State  Police 

a  Grange 

a  Grange  State  Police.. 

a  Porte  

a  Porte  State  Police 

/ayne 

/ayne  State  Police 


KANSAS 
'.iley  Police  Department ... 
KENTUCKY 


•'loyd 

loyd  Sute  Police... 

lardin 

lardin  State  Police. 

larlan 

larlan  State  Police  . 

Cnox 

Cnox  Slate  Police... 

>erry  

'erry  State  Police 


iee  footnote  at  end  of  table. 


1.028 
1.442 
1.666 
1.072 
2,502 
4,367 
2,279 


455 
982 

1,229 
I 

2,198 
531 
512 

1.777 


2,665 
2,543 
6,582 


871 

769 

1.164 


334 

41 
262 

79 
642 

73 
431 

46 


210 


I 

524 

26 

180 

6 

501 

28 

322 

I 

437 


1.034 
1,442 
1,673 
1,083 
2.550 
4.383 
2.282 


1.280 
I 


2.681 
2.555 
6.646 


879 

775 

1,170 


264 
642 
435 


215 


I 

566 

28 

181 

6 

527 

28 

347 

I 

451 


103 
141 
156 
98 
308 
490 
378 


103 
19 
51 
87 


77 

51 

265 


10 


61 


25 

3 
107 


383 

385 

529 

671 

731 

574 

383 

532 

1.061 

861 

1,157 

2,363 

855 

801 

721 

645 

1,536 


246 
285 
463 


131 

184 

49 

323 


123 

5 

67 

22 

241 

9 

126 

6 


58 


I 

205 

6 

89 

1 

184 

18 

144 


138 


1,735 
1,688 
4,391 


530 
402 
568 


154 

171 

81 

534 


193 

22 
155 

35 
343 

28 
235 

30 


132 


185 
19 
35 

155 

7 

77 

1 

151 


111 
57 
120 
41 
206 
256 
136 


201 

183 

61 

362 

469 

76 

387 

684 

94 

509 

1,431 

106 

199 

226 

71 

178 

228 

38 

616 

846 

191 

100 
132 
323 


45 


133 


Table  9.  —  Number  of  Offenses  Known  to  the  Police,  Rural  Counties  25,000  and  over  in  Population,  1987 — Continued 


County  by  State 


Cnme 
Index 
total 


Modified* 
Critne 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


KENTUCKY— Continued 


Pike 

Pike  State  Police 

Pulaski 

Pulaski  State  Police  . 

Warren 

Warren  State  Police 


LOUISIANA 


Acadia 

Avoyelles 

Iberia 
Iberville 
Plaquemines 
Saint  Landry. 

Saint  Mary 

Vermilion 

Vernon 

Washington 


MAINE 


Aroostook 

Aroostook  State  Police . 

Hancock 

Hancock  State  Police... 

Kennebec 

Kennebec  State  Police 

Penobscot  

Penobscot  State  Police.. 

York 

York  State  Police 


MARYLAND 


Garrett 

Garrett  State  Police 

Saint  Mary's 

Saint  Mary's  Slate  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 

Ionia 

Ionia  State  Police 

Isabella         

Isabella  State  Police... 

Lenawee 

Lenawee  State  Police 

Montcalm  

Montcalm  State  Police 

Newaygo 

Newaygo  State  Police 

Saint  Joseph 

Saint  Joseph  State  Police 

Sanilac 

Sanilac  State  Police 

Shiawassee 


71 
755 
345 

33 
176 
283 


570 
397 
834 
550 
796 
999 
841 
544 
1,065 
651 


110 
443 
452 
83 
113 
360 
452 
237 
342 
234 


320 
274 
1.623 
463 
561 
811 


1,221 
713 
523 
540 
808 
208 

1,146 
585 
369 
206 
249 
465 
470 
228 
864 
272 
871 
273 
540 
401 
596 
329 
646 
170 
617 


71 
807 
347 

48 
176 
312 


110 
448 
452 
83 
113 
361 
453 
238 
347 
236 


320 

1,630 

561 


1,229 
735 
528 
547 
815 
217 

1,148 
589 
376 
215 
254 
474 
476 
232 
884 
280 
875 
280 
544 
408 
600 
343 
650 
175 
621 


574 

6 

398 

836 

5 

550 

1 

800 

1 

6 

844 

1 

545 

3 

1  069 

2 

3 

20 

9 

II 

3 

1 

7 

6 

7 

9 

7 

12 

6 

q 

16 

7 

13 

9 

50 

21 

3 

32 

3 

9 

21 

25 

12 

4 

16 

7 

2 

24 

9 

18 

12 

4 

11 

14 

10 

43 

48 

6 

5 

115 

162 
45 

146 
98 
81 
80 
35 

181 
64 


61 

27 
199 

56 
102 

98 


17 

244 

120 

9 

54 

93 


126 
69 
246 
141 
189 
316 
273 
148 
249 
215 


37 
177 
182 

42 

41 
151 
229 

65 
138 
102 


84 
123 
394 
122 
171 
354 


342 
251 
153 
185 
302 

69 
257 
193 
139 

88 

73 
165 
154 

69 
235 

87 
278 
105 
241 
169 
182 
108 
269 

64 
178 


17 
318 
154 

II 
109 
100 


298 
146 
489 
254 
471 
536 
438 
311 
559 
320 


60 

206 

239 

21 

58 

169 

181 

108 

169 

96 


151 
101 
965 

243 
260 
307 


687 
340 
308 
262 
420 
104 
817 
338 
169 

86 
132 
239 
292 
115 
526 
127 
502 
132 
205 
181 
369 
145 
304 

85 
370 


134 


Table  9.  —  Number  of  Offenses  Known  to  the  Police,  Rural  Counties  25,000  and  over  in  Population,  1987 — Continued 


County  by  State 


Crime 
Index 
total 


Modified* 
Crime 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


MICHIGAN— Continued 


hiawassee  State  Police  . 

'uscola 

'uscola  State  Police 

^an  Buren 

'an  Buren  State  Police.. 


MINNESOTA 


;row  Wing. 

tasca 

)tter  Tail.  .. 


MISSISSIPPI 


ones .  .. 

-ee 

Varren 


!  NEW  HAMPSHIRE 


Jillsboro  State  Police 

4errimack 

ierrimack  State  Police.... 
.ockingham  State  Police.. 


tan  Juan 


MISSOURI 


Camden 

:ole 

ohnson  

'ulaski 

'aint  Francois. 


MONTANA 


'lathead    ... 
ilver  Bow 


NEW  MEXICO 


NEW  YORK 


vllegany  State  Police 

Cattaraugus 

Cattaraugus  State  Police.. 

Cayuga 

Cayuga  State  Police 

Chautauqua 

Chautauqua  State  Police.. 

Chenango  

Chenango  State  Police 

Clinton      

Clinton  State  Police 

Columbia 

'olumbia  State  Police 

Oelaware     

Delaware  State  Police 

ranklin  State  Police 

-ulton       

'ulton  State  Police 

Jenesee       

jenesee  State  Police 

lefferson 

lefferson  State  Police 

Dtsego  State  Police 

Saint  Lawrence 


176 
539 
307 
976 
1,127 


787 
841 
589 


430 
513 
584 


484 
412 
202 
183 
263 


1,557 
1,942 


103 
12 

140 
46 


462 


500 
279 
529 
479 
496 
774 
422 
306 
271 
5 
1,157 
383 
469 
150 
394 
389 
578 
177 
555 
119 
438 
652 
654 
553 


180 
546 
309 
982 
1,149 


793 
846 
596 


513 
585 


485 
412 


183 


1,565 
1,942 


107 
12 

144 
52 


464 


508 
316 
536 

487 
506 

422 
311 
272 
5 
1,166 
389 
471 

400 
399 
579 
178 

119 

654 
658 


10 


26 


53 


18 
28 
42 
51 
81 

8 
20 
25 
18 

I 
187 
53 

8 
II 
23 
40 
30 
12 

4 

6 
25 
29 
22 
49 


66 
183 
106 
389 
410 


350 
321 
210 


254 
214 
269 


262 
122 
90 
94 


360 
349 


198 


196 
103 
192 
173 
132 
233 
121 
109 
107 
2 
227 

96 
141 

51 
215 
150 
162 

64 
140 

48 
137 
195 
172 
176 


81 
277 
143 
493 
501 


358 
441 

335 


163 

224 
274 


150 
199 
101 
70 
104 


1,036 
1,441 


162 


261 
135 
269 
219 
274 
519 
277 
154 
131 
2 
711 
201 
292 

80 
145 
194 
352 

90 
395 

57 
253 
406 
444 
311 


9 
50 
10 
36 
81 


33 
56 
26 


41 

22 


28 
15 
4 
4 
19 


99 
109 


14 
4 


30 


15 
10 
19 

32 
5 
5 
3 
18 
14 

32 

29 

26 

8 

9 

3 

24 

6 

8 

3 

18 
14 
12 
14 


135 


Table  9.  —  Number  of  Offenses  Known  to  the  Police,  Rural  Counties  25,000  and  over  in  Population,  1987 — Continued 


County  by  State 

Cnme 
Index 
total 

Modified* 
Clime 
Index 
total 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
theft 

Motor 

vehicle 

theft 

Arson* 

NEW  YORK— Continued 

604 
495 
1.064 
903 
495 
289 
144 

501 

1,198 
771 
560 

1,412 
932 
915 
489 
659 
699 

1,621 
713 
887 
226 

1,296 
498 
567 
967 

1,225 
537 
932 

1.086 
647 
592 

231 

1,287 
420 
544 
563 
647 
217 
371 
456 
797 
357 

1,055 
622 
699 
171 
388 

1.222 
303 
204 
789 

833 
1.180 
1.730 
1.688 

766 
1.571 

611 
497 
1.086 
907 
495 
295 
145 

505 

1.216 
773 
562 

1.413 
963 
916 
495 
669 
718 

1.652 
715 
892 
227 

1,306 
502 
571 
970 

1,236 
540 
932 

1,089 
652 
592 

232 

1,310 
420 
546 
570 
649 
217 
373 
457 
803 
357 

1,069 
622 
709 
171 

1,234 

204 
797 

835 
1,186 
1,732 
1,697 

770 
1,583 

3 
4 
5 
5 

1 

7 
4 
2 
5 

44 
72 
67 
12 
9 
4 
64 

32 
87 
24 
20 
48 
70 
48 
67 
31 
54 

181 
30 
80 
6 
26 
19 
5 
36 
70 
66 
75 

110 
56 
57 

30 

14 

63 
63 
69 
74 

7 
27 

3 
48 
20 
107 

4 
34 
22 
42 
78 
17 

5 

48 
12 
50 
26 
II 
45 

216 
131 
447 
290 
173 
126 
38 

207 
513 
96 
258 
593 
430 
298 
177 
321 
309 
711 
333 
398 
123 
583 
193 
274 
428 
512 
221 
378 
387 
206 
236 

63 

351 
4 

50 
182 
194 

66 
127 
154 
210 

79 
302 
191 
217 

74 

68 
410 

94 

56 
251 

255 
361 
553 
647 
284 
682 

326 
235 
474 
566 
299 
123 
39 

226 
510 
590 
244 
666 
338 
476 
198 
270 
299 
588 
285 
327 
91 
522 
252 
241 
431 
538 
205 
348 
536 
319 
242 

121 

829 
311 
415 
278 
349 
129 
197 
264 
499 
234 
583 
391 
390 
62 
261 
649 
165 
131 
435 

449 
726 
1,018 
891 
435 
763 

15 
44 
66 
28 

8 
34 

2 

31 
65 
48 
23 
86 
54 
71 
36 
23 
23 

108 

54 

61 

5 

135 
28 
35 
53 
80 
31 
94 
46 
55 
52 

13 

76 
33 
15 
19 
26 
15 
19 
24 
33 
21 
49 
33 
35 
10 
15 
75 
19 
17 
77 

64 
67 
86 
110 
24 
67 

7 

2 
1 

1 
1 

1 

2 
4 

3 
5 
3 
2 
2 
2 
4 
1 
1 
4 

4 
1 
2 
1 
4 
4 
6 

3 

1 

2 

2 

1 
2 

2 

Sullivan  State  Police 

22 

4 

Wyoming , 

6 

1 

NORTH  CAROLINA 

Beaufort                    

2 
13 
5 
6 
5 
23 
8 
6 
5 
2 
17 
5 
5 

9 

3 
5 
7 
11 

" 
17 

4 

5 
1 

2 

15 

2 

1 

11 

I 

6 
8 
6 
9 

14 

12 
3 
7 
8 

15 
5 

12 
1 

17 
2 
5 

11 

10 
6 

14 
3 
3 
3 

4 

Caldwell                

18 

Carteret                                         

Cleveland      

31 

6 

10 

Halifax                                 

19 

31 

Haywood 

Iredell             

2 
5 

Jackson 

Johnston 

McDowell     

1 
10 

4' 

4> 

Nash                

3' 

Pitt 

11 

3 

Robeson         '. 

3 

Rutherford 

Surry            

5 

NORTH  DAKOTA 
Ward                                      

1 

OHIO 

Ashtabula      

2 

5 

23 

2 

Darke 

Gallia 

3 

1 

7 
2 

1 
4 
6 
1 
11 
3 
9 

1 
5 
2 

5 

8 
7 
11 

7 
8 

7 

2 

Logan         

1 

6 

1 
2 
3 

I 

6 

14 

Ottawa          

3 
1 
1 
5 
2 

1 

Preble 

Putnam 

11 

2 

10 

Scioto                                        .... 

12 

Shelby      

4 

15 

8 
5 
11 
6 

3 
5 

Tuscarawas     .  . 

Wayne 

8 

OREGON 

Coos 

Deschutes 

2 
6 

2 

Josephine     

9 

Klamath 

4 

Linn 

12 

136 


ible  9.  —  Number  of  Offenses  Known  to  the  Police,  Rural  Counties  25,000  and  over  in  Population,  1987 — Continued 


County  by  Stale 


Crime 
Index 
total 


Modified* 
Cnme 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


Arson* 


PENNSYLVANIA 


idford  State  Police 

itler  State  Police 

arion  State  Police 

earfield  

learfteld  State  Police 

rawford  State  Police 

anklin  State  Police 

reene  State  Police 

untingdon  State  Police 

idiana  State  Police 

fTerson  State  Police 

iwrence  State  Police 

orthumberland  State  Police  . 

:huylkill  State  Police 

lyder  State  Police 

isquehanna  State  Police 

oga  State  Police 

mango  State  Police 

'airen 

'arren  State  Police 

'ayne  State  Police 


SOUTH  CAROLINA 


eaufort 

Iierokee 

hesterfield 

olleton 

larlington i... 

eorgetown 

reenwood 

orry  Police  Department 

ershaw ...,. 

encaster 

aurens  

conee  

rangeburg , 

iimter 


'illiamsburg . 


TENNESSEE 


radley . . 

reene 

amblen.. 
(cMinn  .. 
oane 


TEXAS 


nderson..  . 

ngelina 

lenderson.. 
lunt 

usk  

tarr    

an  Zandt  . 


VIRGINIA 


.ccomack   

kccomack  State  Police.. 

ugusta  

ugusta  State  Police 

tedford 

tedford  State  Police 

iuchanan       

luchanan  State  Police.. 
Zarroil         


578 
1.122 
457 
1 
553 
851 
633 
457 
443 
759 
355 
669 
324 
723 
356 
310 
363 
669 
56 
391 
496 


4.415 

806 

568 

572 

1.351 

825 

1,144 

5,093 

1,004 

1,535 

1,135 

682 

3,027 

2,235 

492 


557 
548 
476 
365 
606 


548 
637 
912 
849 
619 
464 
799 


479 
54 

860 
31 

527 
9 

224 
74 

185 


582 
1,142 
473 
I 
568 
874 
694 
471 
455 
775 
356 
695 
324 
736 
358 
313 
372 
672 
56 
404 
502 


563 
570 
477 
366 
607 


551 

637 
916 
849 
619 
469 
805 


483 

54 
862 

32 

529 

9 

225 

78 
188 


4,433 

4 

825 

1 

589 

4 

578 

4 

1,369 

831 

1,149 

1 

5,125 

13 

1,010 

2 

1,551 

2 

1,145 

4 

686 

4 

3,057 

4 

2,255 

5 

494 

6 

17 
110 

7 

1 
11 
16 
22 

8 

10 
40 

5 

15 
12 
66 

6 
10 
10 

8 

6 
18 
23 


194 
387 
177 


245 
349 
236 
179 
176 
280 
172 
268 
126 
221 
125 
170 
198 
299 
13 
205 
263 


158 
290 
212 
180 
190 


175 
193 
474 
449 
344 
211 
327 


243 
22 
177 
2 
189 
2 
65 
22 
89 


331 
515 
218 


258 
416 
320 
202 
228 
333 
159 
315 
157 
360 
190 

98 
109 
318 

37 
145 
169 


530 

1,141 

2.489 

82 

303 

326 

57 

249 

214 

62 

196 

254 

153 

507 

521 

63 

298 

410 

124 

306 

649 

411 

1,537 

2,690 

99 

311 

502 

184 

461 

795 

149 

438 

493 

56 

241 

346 

549 

1,020 

1,193 

337 

736 

970 

90 

210 

144 

301 
161 
211 
155 
332 


278 
382 
304 
282 
218 
154 
329 


196 
25 

589 
17 

285 
5 

100 
37 
73 


26 
96 
45 


24 
62 
40 
60 
23 
79 
14 
62 
19 
49 
23 
28 
28 
37 

19 
33 


183 
71 
33 
40 

135 
42 
49 

341 
77 
61 
35 
27 

149 

129 
21 


61 
55 
41 
5 
26 


34 
42 
35 
61 
51 
59 
65 


15 

5 
35 

3 
20 

2 
21 

9 
12 


137 


Table  9.  —  Number  of  Offenses  Known  to  the  Police,  Rural  Counties  25,000  and  over  in  Population,   1987 — Continued 


County  by  State 


Cnme 
Index 
total 


Modified* 
Cnme 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


VIRGINIA— Continued 


Carroll  State  Police 

Fauquier         

Fauquier  Slate  Police 

Franklin     

Franklin  Slate  Police 

Frederick 

Frederick  State  Police 

Halifax 

Halifax  State  Police 

Henry    

Henry  State  Police 

Rockingham      

Rockingham  State  Police.. 

Russell  

Russell  Stale  Police 

Spotsylvania 

Spotsylvania  State  Police.. 

Tazewell 

Tazewell  State  Police 

Wise        

Wise  State  Police 


WASHINGTON 


Chelan 
Clallam 
Cowlitz 
Island  --- 

Lewis 

Skagit ... 


WEST  VIRGINIA 


Berkeley 

Berkeley  State  Police 

Fayette      

Fayette  Slate  Police 

Harrison 

Harrison  State  Police 

Jefferson 

Jefferson  State  Police 

Logan 

Logan  State  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 

Wyoming  

Wyoming  State  Police.... 


WISCONSIN 


Clark 

Columbia 

Dodge       

Fond  du  Lac 

Jefferson 

Manitowoc 

Marinette 

Polk 

Sauk 


17 
362 

44 
353 

7 
769 

37 
274 

34 
1,332 

22 
319 

42 
149 

14 
1.692 

56 
294 

38 
280 

17 


1.489 

755 

897 

507 

1,125 

1,208 


1.119 
363 
237 
171 
238 
213 

68 
374 

73 
651 
151 
192 
221 
151 
346 
277 

87 
186 
242 
345 
777 
228 
209 
125 


637 
548 
371 
308 
366 
457 
724 
759 
279 


18 
365 

44 
353 

7 
775 

37 
276 

35 
1.352 

24 
322 

46 
155 

14 
1,693 

57 
295 

40 
280 

22 


1,129 
367 
242 
,171 
239 
215 

68 
380 

73 
666 
151 
194 
226 
152 
346 
279 

87 
189 
243 
347 
777 
228 
210 
126 


638 
549 
376 
309 
366 
463 
725 
770 
280l 


1,494 

1 

755 

1 

903 

1 

510 

3 

1,139 

1,212 

1 

33 


2 
106 

7 
93 

1 
161 

3 
101 

5 
437 

92 

3 

46 

3 

266 

8 

90 

13 

108 


438 
241 
376 
209 
494 
454 


276 

202 

76 

61 

64 

63 

21 

176 

32 

197 

1 

116 

61 

41 

154 

110 

19 

47 

65 

109 

208 

59 

81 

42 


157 

189 

101 

62 

62 

135 

341 

388 

54 


7 

199 

38 

26 

6 

213 

28 

2 

2 

521 

61 

23 

2 

122 

9 

18 

7 

748 

68 

16 

5 

198 

10 

10 

19 

84 

12 

7 

1 

1,280 

93 

28 

7 

127 

12 

16 

5 

131 

26 

12 

5 

918 
420 
429 
268 
540 
638 


770 

103 

92 

79 

128 

42 

31 

143 

30 

255 

49 

36 

126 

78 

95 

114 

37 

49 

169 

166 

460 

141 

83 

44 


436 
298 
228 
221 
256 
255 
336 
300 
214 


38 
43 
10 
19 
23 
24 

3 
37 

8 
163 

5 
25 
18 
16 
47 
30 
26 
52 

6 
51 
55 
26 
27 
35 


138 


'able  9.  —  Number  of  Offenses  Known  to  the  Police,  Rural  Counties  25,000  and  over  in  Population,  1987 — 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* 


WISCONSIN— Continued 


hawano 

'rempealeau.. 

/alworth  

/aupaca   

/cod 


STATE  AGENCIES 


Jaska  State  Police 

irizona  Department  of  Public  Safety 
lolorado  State  Patrol 
lonnecticut  State  Police 

finnesota  Highway  Patrol 

lew  Mexico  State  Police 

'ermoni  State  Police 

Wisconsin  State  Patrol 


OTHER  AREAS 


505 
328 
790 
546 

437 


5,219 

33 

206 

9.537 

114 

1,952 

6,193 

15 


4,128 


507 
328 
793 
647 
437 


33 


9,625 

114 

1 ,974 

15 


4.150 


28 


108 


28 


527 
33 


131 
82 
222 
230 
169 


1,743 


314 

228 
499 
357 
243 


2,319 


466 


70 


133 
2 
19 

22 


125 


70 


896 
6 

397 

209 

15 


124 


3,296 
6 

739 
2,312 


1,060 


4.311 

84 

602 

3.236 


206 
821 
16 
160 
358 


2,469 


269 


22 


22 


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 
ith  national  UCR  guidelines.  Therefore,  the  figures  were  excluded  from  the  forcible  rape.  Crime  Index  total,  and  Modified  Cnme  Index  total  categones. 


139 


Table  10.  —  Crime  Trends,  Offenses  Known  to  the  Police,  Population  Group,  1986-1987 

[1987  estimated  population] 


Population  group 

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 

Arson' 

TOTAL  ALL  AGENCIES: 

13.184  agencies; 

population  229.606.000: 

1986 

12,505,052 

12,774,155 
+2.2 

12,609,170 

12,873,159 

+2.1 

1.421.359 

1,415,393 

-.4 

11,083,693 

11.358.762 

+2.5 

19.585 

19.075 

-2.6 

82,242 

82,100 

-.2 

529,106 

503,949 

^,8 

790.426 

810.269 

+2.5 

3,068,999 

3,057,223 

-.4 

6,848,391 

7,073,710 

+3,3 

1,166,303 

1,227,829 

+5,3 

104,118 

1987 

99,004 

Percent  change  

-4.9 

TOTAL  CITIES:  8.932  cities; 

population  154,806,000: 

1986 

10.249,105 

10,455.641 

+2.0 

10.330,448 

10.533.260 

+2.0 

1.203.241 

1,197.776 

-.5 

9.045,864 

9.257.865 

+2.3 

15,526 
14.953 

-3.7 

63,937 

63.818 

_  2 

483,704 

460,245 

^.8 

640.074 

658.760 

+2.9 

2,378.094 

2.359,974 

-,8 

1 

5,668,990 

5,850,252 

+3,2 

998,780 

1,047,639 

+4,9 

81.343 

1987 

77.619 

Percent  change  

^.6 

Group  I 

62  cities.  250.000  and  over; 

population  44.693.000: 

1986 

4,179,014 

4.217.589 

670.453 

3.508.561 

9.382 

31,754 

325.619 

303.698 

977,091 

1,979.459 

552,011 

38.575 

1987 

4,239,553 
+  14 

4.277,329 
+  1.4 

664.420 
-.9 

3.575,133 
+  1.9 

9.051 
-3.5 

30.501 
-3.9 

306.068 
-6.0 

318,800 
+5.0 

959,889 
-1.8 

2,041,276 
+3.1 

573,968 
+4.0 

37.776 

Percent  change  

-2.1 

8  cities.  1,000.000  and  over; 

population  20.176.000; 

1986 

1,866,678 

1.886.211 

367,677 

1,499,001 

5.008 

11.473 

191.943 

159,253 

402,772 

796,900 

299,329 

19.533 

1987    

1.868,499 

1.887.924 

370,165 

1,498,334 

4.936 

11.037 

181.527 

172,665 

385,448 

808,590 

304,296 

19,425 

Percent  change 

+.1 

+.0 

+  .7 

+.0 

-1.4 

-3.8 

-5.4 

+8.4 

^.3 

+  1.5 

+  1.7 

-.6 

16  cities,  500,000  to  999,999; 

population  10,649.000: 

1986 

935,944 

943.879 

129,189 

806,755 

2.016 

8,706 

61.010 

57,457 

224,165 

467,517 

115,073 

7,935 

1987    

958,981 

966.806 

124,961 

834,020 

2.037 

8.269 

55.961 

58,694 

227,265 

483,060 

123,695 

7,825 

Percent  change 

+2.5 

+2.4 

-3,3 

+  3.4 

+  1.0 

-5.0 

-8.3 

+2.2 

+  1.4 

+3.3 

+7.5 

-1.4 

38  cities,  250,000  to  499,999; 

population  13,868,000: 

1986 

1,376,392 
1,412,073 

1.387,499 
1.422.599 

173,587 
169,294 

1,202,805 
1,242,779 

2,358 
2.078 

11.575 
11.195 

72.666 
68,580 

86,988 
87,441 

350,154 
347,176 

715,042 
749,626 

137,609 
145.977 

11,107 

1987 

10,526 

Percent  change 

+  2.6 

+2.5 

-2.5 

+3,3 

-11.9 

-3.3 

-5.6 

+.5 

-.9 

+4.8 

+6.1 

-5.2 

Group  II 

127  cities.   100,000  to  249,999; 

population  18,574,000; 

1986     

1,489,135 

1.501,988 

162.114 

1,327,021 

2,070 

9.501 

58,600 

91,943 

374,598 

835,059 

117,364 

12,853 

1987 

1,526,015 

1.538,422 

156,729 

1,369,286 

1,917 

9.734 

56.224 

88,854 

379,494 

861,365 

128,427 

12,407 

Percent  change 

+2.5 

+2.4 

-3.3 

+  3  2 

-7.4 

+2,5 

-4.1 

-3.4 

+  1.3 

+3.2 

+9.4 

-3,5 

Group  III 

311  cities.  50,000  to  99,999; 

population  21,185,000; 

1986       

1,306,518 

1,316.150 

127,462 

1,179,056 

1,301 

8,080 

42.258 

75,823 

310,960 

750,846 

117,250 

9,632 

1987      

1,340,976 

1.349.614 

130,418 

1,210.558 

1,281 

8,302 

40,883 

79,952 

309,550 

774,295 

126,713 

8,638 

Percent  change 

+2.6 

+2.5 

+2.3 

+  2,7 

-1.5 

+2.7 

-3.3 

+5.4 

-.5 

+  3,1 

+8.1 

-10.3 

Group  IV 

657  cities,  25,000  to  49,999; 

population  22,525,000; 

1986 

1,231,779 

1,239,435 

101,022 

1,130,757 

1.076 

6,271 

29,081 

64,594 

279,578 

759,515 

91,664 

7,656 

1987 

1,262,018 

1,269,168 

103.704 

1,158,314 

1,056 

6,390 

29,030 

67,228 

279,478 

782,924 

95.912 

7,150 

Percent  change          

+2.5 

+2.4 

+  2,7 

+2,4 

-1.9 

+  1.9 

-.2 

+4.1 

+.0 

+  3.1 

+4.6 

-6.6 

140 


Table  10.  —  Crime  Trends,  Offenses  Known  to  the  Police,  Population  Group,  1986-1987  —  Continued 


Populalion  group 


Crime 
Index 
lota) 


Modified 
Cnme 
Index 
tolal' 


Violent 
cnme* 


Property 
crime' 


Murder 
and  non- 
negligenl 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Group  V 

1,615  cities.  10,000  to  24.999; 
population  25,433,000: 

1986    

1987 

Percent  change 

Group  VI 

6,160  elites  under  10,000; 
populalion  22,396,000: 

1986 

1987 

Percent  change 

Suburban  Counties 

1,318  agencies;  population 
45,745.000: 

1986 

1987 ; 

Percent  change 


Rural  Counties' 

2.934  agencies;  population 
29,055.000: 

1986 

1987  

Percent  change 


Suburban  Area' 

6.17]  agencies;  population 
92,878,000: 

1986    

1987  

Percent  change 


1,138,802 

1.167,379 

■f2.5 


903.857 

919.700 

+  1 


1.717.659 

1.770,548 

+3.1 


538,288 

547,966 

■H 


3,857.655 

3,968,363 

+2.9 


1,145,632 

1,173.742 

+2.5 


909.654 

924.985 

+  1.7 


1.734.834 

1.786,827 

+3.0 


543,888 

553,072 

+  1.7 


3,888.433 

3,997,251 

+2.8 


81,517 

81,850 

+.4 


60.673 

60.655 

+.0 


168.434 

167.750 

-.4 


49.684 

49.867 

+.4 


325,748 

328,879 

+  1.0 


1,057.285 

1,085,529 

+2.7 


843.184 

859.045 

+  1.9 


1.549.225 

1.602.798 

+3.5 


488.604 

498.099 

+  1.9 


3,531,907 

3,639.484 

+3.0 


941 
958 
+  1.8 


756 
690 
-8.7 


2,613 

2,616 

+  .1 


1,446 
1,506 
+4.1 


4.223 

4.254 

+.7 


4.954 
5,266 
+6.3 


3,377 
3,625 
+7,3 


13,106 

13,122 

+.1 


5,199 
5,160 


22,337 

22,840 

+2.3 


18.832 

18.786 

-.2 


9,314 

9,254 

-.6 


41,108 

39,636 

-3.6 


4,294 

4,068 

-5.3 


83.856 

82.139 

-2.0 


56.790 

56.840 

+.1 


47,226 
47,086 

-,3 


111,607 
112.376 

+  .7 


38.745 

39.133 

+  1.0 


215,332 

219,646 

+2.0 


247.827 

246,713 

-.4 


188.040 

184,850 

-1,7 


501.809 

505.004 

+  6 


189.096 

192,245 

+  1,7 


967,795 

968,187 

+.0 


736,291 

763,413 

+3.7 


607,820 

626.979 

+3.2 


911,039 

948,981 

+4.2 


268,362 

274,477 

+  2,3 


2.265,800 

2.353.864 

+3.9 


73,167 

75.403 

+3,1 


47,324 

47,216 

-.2 


136.377 

148,813 

+9,1 


31,146 

31,377 

+,7 


298,312 

317,433 

+6.4 


6.830 
6,363 
-6.8 


5.797 
5,285 


17,175 

16,279 

-5.2 


5,600 
5,106 


30,778 
28,888 


'The  number  of  agency  reports  used  in  arson  trends  is  less  than  used  in  compiling  trends  for  other  Crime  Index  olTenses.  However,  the  number  of  agencies  used  in  the  arson 
;olumn  of  this  table  is  greater  than  the  number  used  in  the  tables  on  pages  37-38.  since  it  is  not  necessary  to  report  arsons  by  property  classification  to  be  included  in  this  table. 
The  Modified  Crime  Index  total  is  the  sum  of  the  Cnme  Index  offenses,  including  arson. 

'Violent  cnmes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault, 

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

'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  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. 


141 


Table  11.  —  Crime  Trends,  Offenses  Known  to  the  Police,  Suburban  and  Nonsuburban  Cities',  Population  Group,  1986-1987 

[1987  estimated  population] 


Population  group 

Crime 
Index 
total 

Modified 
Crime 
Index 
total' 

Violent 
crime' 

Propeny 
crime* 

Murder 
and  non- 
neghgenl 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
theft 

Motor 

vehicle 
theft 

Arson' 

Suburban  Cities 

TOTAL  SUBURBAN  CmES: 

4,853  cities; 

population  47,132,000: 
1986 

2,139,996 
2,197,815 

+2.7 

2,153,599 

2,210,424 

+2.6 

157,314 

161,129 

+2.4 

1,982,682 
2,036,686 

+2.7 

1,610 
1,638 

+  1.7 

9,231 
9,718 
+5.3 

42,748 

42,503 

-.6 

103,725 

107,270 

+3.4 

465,986 

463,183 

-.6 

1,354,761 
1,404,883 

+3.7 

161,935 

168,620 

+4.1 

13,603 
12,609 

-7.3 

1987 

Percent  chance           

■   viVVI'l     v,J,»i,^v    .......................... 

Group  IV 

482  cities,  25.000  lo  49,999; 

population  16,472.000: 
1986 

846.379 

851.799 

70,138 

776.241 

701 

4,086 

21.850 

43.501 

191.541 

511.736 

72,964 

5.420 

1987 

868.749 

873.763 

73,012 

795.737 

715 

4.254 

21.728 

46,315 

191,586 

527.143 

77,008 

5.014 

Percent  change 

+2.6 

+2.6 

+4.1 

+2.5 

+2.0 

+4.1 

-.6 

+6.5 

+  .0 

+3.0 

+  5.5 

-7,5 

Group  V 

1,147  cities,  10,000  to  24.999; 

population  18,236,000: 

1986 

753,346 

778,787 

+3.4 

758.021 

783,180 

+  3.3 

53,487 

54.114 

+  12 

699,859 

724.673 

+  3.5 

552 
601 
+8.9 

3.157 
3.383 

+7.2 

14.226 

14.174 

-.4 

35,552 

35,956 

+  1.1 

165,622 

164,778 

-.5 

477.410 

500,559 

+4.8 

56,827 

59,336 

+4.4 

4,675 

4.393 

-6.0 

1987 

Percent  change 

Group  VI 

3.224  cities  under  10.000; 

population  12.425,000; 

1986 

540.271 

543.779 

33.689 

506.582 

357 

1.988 

6.672 

24.672 

108.823 

365,615 

32,144 

3.508 

1987 

550.279 
+  1.9 

553.481 
+  1.8 

34.003 
+  .9 

516,276 
+  1.9 

322 
-9.8 

2.081 
+4.7 

6.601 
-1.1 

24.999 
+  1.3 

106,819 
-1.8 

377.181 
+3.2 

32,276 
+.4 

3.202 
-8.7 

Percent  change 

Nonsuburban  Cities 

TOTAL  NONSUBURBAN 

CIllES:  3,579  cities; 

population  23,221,000: 
1986 

1,134,442 

1,151,282 

+  1.5 

1,141,122 

1,157,471 

+1.4 

85,898 

85,080 

-1.0 

1,048,544 

1,066,202 

+  1.7 

1,163 
1,066 
-8.3 

5,371 
5,563 
+3.6 

14,479 

14,567 

+.6 

64,885 

63,884 

-1.5 

249,459 

247,858 
-.6 

748,865 

768,433 

+2.6 

50,220 

49,911 

-.6 

6,680 
6,189 

-7.4 

1987 

Percent  change  

Group  IV 

175  cities,  25.000  lo  49.999; 

population  6.053,000: 

1986       

385,400 

393,269 

+  2.0 

387.636 

395.405 

+2.0 

30,884 

30,692 

-.6 

354,516 

362.577 

+2.3 

375 
341 
-9.1 

2.185 
2.136 

-2.2 

7,231 
7.302 
+  1.0 

21,093 

20,913 

-.9 

88,037 

87,892 

-.2 

247,779 

255,781 

+  3.2 

18.700 

18.904 

+  1.1 

2.236 

1987 

2.136 

Percent  change 

-4.5 

Group  V 

468  cities,  10.000  to  24.999; 

population  7.198,000: 

1986 

385.456 

388,592 

+.8 

387.611 

390,562 

+.8 

28,030 

27,736 

-1.0 

357,426 

360.856 

+  1.0 

389 
357 
-8.2 

1.797 
1,883 
+4.8 

4,606 

4.612 

+.1 

21,238 

20,884 

-1.7 

82,205 

81,935 

-.3 

258,881 
262,854 

+  1.5 

16.340 

16.067 

-1.7 

2.155 

1987     

1.970 

Percent  change 

-8.6 

Group  VI 

2,936  cities  under  10,000; 

population  9,971,000: 
1986 

363.586 

365.875 

26.984 

336.602 

399 

1,389 

2.642 

22.554 

79.217 

242,205 

15.180 

2,289 

1987                             

369.421 
+  1.6 

371.504 
+  1.5 

26.652 
-1.2 

342.769 
+  1.8 

368 

-7.8 

1,544 
+  11.2 

2.653 
+.4 

22,087 
-2.1 

78,031 
-1.5 

249.798 
+3.1 

14.940 
-16 

2.083 

Percent  change    

-9.0 

'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. 

^The  number  of  agencies  used  m  arson  trends  is  less  than  used  in  compilmg  trends  for  other  Crime  Index  offenses.  The  Modified  Crime  Index  total  is  the  sum  of  the  Cnme 

Index  offenses,  including  arson. 

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

^Property  crimes  are  offenses  of  burglary,  larceny-theft,  and  motor  vehicle  theft    Data  are  not  included  for  the  property  crime  of  arson- 
Forcible  rape  figures  furnished  by  the  state-level  Uniform  Cnme  Reportmg  (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. 


142 


1 

fable  12. —  Crime  Trends,  Offenses  Known  to  the 

Police,  Suburban  and  Nonsuburban  Counties,  Population 

Group,  1986-1987 

( 

1987  estimated  population] 

Population  group 

Crime 
Index 
tola) 

Modified 
Crime 
lnde« 
total' 

Violent 
crime" 

Property 
cnme' 

Murder 
and  non- 
negligenl 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
theft 

Motor 
vehicle 
theft 

Arson' 

Suburban  Counties* 

100,000  and  over 

07  counties;  population 
26,475,000: 

1986                           

1,214,177 

1,254,206 

+  3.3 

1.226,187 

1.265,684 

+  3.2 

120.482 

120.509 

+  .0 

1.093,695 

1,133,697 

+3.7 

1,663 
1.674 

+.7 

8,266 

8,298 

+.4 

34,760 
33,655 

-3.2 

75.793 

76.882 

+  1.4 

343,500 

343,033 
-.1 

649,702 

678,040 

+4.4 

100,493 

112,624 

+  12.1 

12,010 

1987              

11.478 

Percent  change 

-AA 

25,000  to  99,999 

30  counties;  population 
16.510,000: 
1986        

382,987 

396,112 

+3.4 

386.685 

399.489 

+3.3 

34,952 

35,198 

+  .7 

348,035 

360,914 

+3.7 

709 
724 
+  2.1 

3,388 
3,432 
+  1.3 

4.299 

4.291 

-.2 

26,556 

26.751 

+.7 

124,986 

129,527 

+3.6 

200.165 

208.707 

+4.3 

22,884 

22,680 

-.9 

3.698 

1987                   

3.377 

Percent  ciiange 

-8.7 

Under  25,000 

81  counties;  population 
2,761,000: 

1986               

120,495 
120,230 

-.2 

121,962 
121,654 

-.3 

13,000 

12,043 

-7.4 

107.495 

108.187 

+.6 

241 
218 
-9.5 

1,452 
1,392 
^-1 

2,049 
1.690 
-17.5 

9.258 

8,743 

-5.6 

33.323 

32,444 

-2.6 

61.172 

62.234 

+  1.7 

13,000 

13,509 

+3.9 

1,467 

1987         

1,424 

+  .0 

Nonsuburban  Counties* 

25,000  and  over 

99  counties;  population 
11,780,000: 
1986 

219,740 
227,339 

+  3.5 

221,874 

229,271 

+  3.3 

21,002 

21,721 

+  3.4 

198.738 

205.618 

+  3.5 

539 
511 

-5.2 

2,144 
1.929 
-10.0 

1.963 
1.942 
-1.1 

16,356 

17.339 

+6.0 

75,667 

76,989 

+  1.7 

111,203 

116.153 

+4.5 

11.868 

12,476 

+  5.1 

2,134 

1987                     

1,932 

-9.5 

10,000  to  24.999 

49  counties;  population 
11,730,000; 

1986    

1987               

170.061 
174.686 

+2.7 

171.804 

176.333 

+  2.6 

14,575 

14,688 

+.8 

155.486 

159.998 

+2.9 

472 

532 

+  12.7 

1,290 

1,297 

+  .5 

1.151 
1.129 
-1.9 

11,662 

11.7.10 

+  .6 

62.501 

64.603 

+  3.4 

83,862 

86,197 

+2.8 

9,123 

9,198 

+.8 

1,743 
1,647 

Percent  change  

-5.5 

Under  10,000 

,787  counties;  population 
5,180,000: 

1986 

1987               

124.891 

122.437 

-2.0 

126,476 

123.843 

-2.1 

11,432 

10,888 

^.8 

113,459 

111.549 

-1.7 

382 

398 

+4.2 

1.487 
1,689 
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145 


Table  14.  —  Crime  Rates,  Offenses  Known  to  the  Police,  Population  Group,  1987 

[1987  estimated  population.  Rate:  Number  of  crimes  per  100.000  inhabitants] 


Population  group 

Cnme 
Ind» 
total 

Modified 
Cnme 
Index 
total' 

Violent 
cnme- 

Property 
cnme' 

Murder 
and  non- 
negligenl 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
theft 

Motor 
vehicle 
theft 

Arson' 

TOTAL  ALL  AGENOES: 
11,435  agencies; 
population  212,715,000: 

12,506,291 
6,204.5 

1,390,589 
689.9 

11,115,702 
5,225.6 

18,809 
8.8 

80.161 
39.8 

498,632 
234.4 

792,987 
372.8 

2,995,249 
1,408.1 

6,919,%1 

3,253.2 

1,200,492 
564.4 

Rate 

TOTAL  CITIES:  7,721  cities; 
population  144.907,000: 
Number  of  offenses  known 

10^79,142 
7,560.3 

1,180,230 
868.1 

9,098,912 
6,279.2 

14,829 
10.2 

62,715 
46.1 

456,491 
315.0 

646,195 
445.9 

2,321.392 
1,602.0 

5.750,131 
3,968.2 

1,027,389 
709.0 

Rate 

Group  I 

62  cities.  250,000  and  over; 
population  44.693.000: 
Number  of  offenses  known 

Rate    

4.271,920 
10.2505 

668,404 
1.603.8 

3,603,516 
8,062.7 

9.109 
20.4 

30,739 
73.8 

307,738 
688.6 

320.818 
717,8 

967,194 
2.164.1 

2,058.900 
4,606.7 

577.422 
1,292.0 

8  cities,  1.000,000  and  over; 
population  20.176,000: 

Number  of  offenses  known 

Rate     

1.868,499 
10.890.1 

370.165 
2,157.4 

1.498.334 
7.426.3 

4.936 
24.5 

11.037 
64.3 

181,527 
899.7 

172.665 
855,8 

385.448 
1.910.4 

808.590 
4.0077 

304,296 
1.508.2 

16  cities.  500.000  to  999,999; 
population  10.649,000: 

981,575 
9,217.3 

127,647 
1.198.6 

853,928 
8.018.6 

2,078 
195 

8.466 

79,5 

56,918 
534.5 

60.185 
565.2 

231.737 
2.176.1 

495.771 
4,655.4 

126.420 
1.187.1 

Rate                                       

38  cities.  250.000  to  499,999; 
population  13.868,000: 

Number  of  offenses  known  

Rate              

1.421,846 
10.252.6 

170,592 
1.230.1 

1.251,254 
9.022.5 

2.095 
151 

11.236 
81.0 

69,293 
499.7 

87,968 
634.3 

350.009 
2,523.8 

754,539 
5,440.8 

146.706 
1.057.9 

Group  II 

126  cities.  100.000  to  249.999; 
population  18.400.000: 
Number  of  offenses  known 

1,522.374 
8,433.0 

156.617 
867.6 

1,365.757 
7,422.6 

1,921 
10.4 

9,736 
53.9 

56.051 
304.6 

88,909 
483.2 

379.365 
2.061.8 

858.089 
4,663.5 

128.303 
697.3 

Rate 

Group  III 

282  cities.  50.000  to  99,999; 
population  19,191.000: 
Number  of  offenses  known 
Rate 

1.277,000 
7,046,2 

121,141 
668.4 

1.155,859 
6.022.8 

1,226 
6.4 

7,753 
42.8 

38.197 
199.0 

73.965 
385.4 

294,272 
1,533.4 

744.587 
3.879.8 

117,000 
609.6 

146 


Table  14.  —  Crime  Rates,  Offenses  Known  to  the  Police,  Population  Group,  1987  —  Continued 


Population  group 

Cnme 
Index 
total 

Modified 
Cnme 
Index 
total' 

Violent 
cnme* 

Property 
cnme' 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robl)er> 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
theft 

Motor 
vehicle 
theft 

Arson' 

Group  IV 

590  cilies,  25,000  to  49,999; 
population  20,259,000: 
Number  of  offenses  known 
Rale 

1,207,060 
6,492.0 

98,283 
528.6 

1,108,777 
5,473.0 

1,026 
5.1 

6,051 

32.5 

27.837 
137,4 

63,369 
312,8 

268,416 
1,324.9 

751,618 
3,710,0 

88,743 
438.0 

Group  V 

1,458  cities,  10,000  lo  24.999; 
population  22,989,000: 

1,124,293 
5,297.8 

78,749 
371.1 

1.045,544 
4,548.1 

900 
3.9 

5,000 
23.6 

18.015 
78,4 

54,834 
238,5 

236,654 
1,029.4 

737,188 
3,206.7 

71,702 
311.9 

Group  VI 

5,203  Cities  under  10,000; 
population  19,374,000: 

876.495 
4,790.5 

57,036 
311.7 

819,459 
4,229,7 

647 
3.3 

3,436 
18.8 

8.653 
44,7 

44,300 

228,7 

175,491 
905.8 

599,749 
3,095.6 

44,219 
228.2 

Rale 

Suburban  Counties 

1,216  agencies;  population 
42,503,000: 

1,702,235 
4,129.0 

163,081 
395.6 

1,539.154 
3,621.3 

2,550 
6.0 

12,674 
30.7 

38,193 
899 

109,664 
258,0 

489,598 
1.151.9 

906,436 
2,132.6 

143,120 
336.7 

Rural  Counties' 

2,498  agencies;  population 
25,305,000: 
Number  of  offenses  known 

Rate 

524,914 
2,153.0 

47,278 
193.9 

477,636 
1.887,5 

1,430 
5.7 

4.772 
19.6 

3,948 
15,6 

37,128 
146,7 

184.259 
728,1 

263,394 
1,040.9 

29.983 
118.5 

Suburban  Area' 

5.394  agencies;  population 
84.103,000: 

3,796,879 
4,780.8 

315.913 
397.8 

3,480,966 
4,138.9 

4,108 
4.9 

21.818 

27.5 

78,872 
93,8 

211,115 
251.0 

931,835 
1,108,0 

2.248.644 
2,673.7 

300,487 
357.3 

Rale                                      

'Arson  rates  are  not  presented  in  this  table  because  fewer  agencies  furnished  complete  reports  for  arson  than  for  other  seven  Cnme  Index  offenses.  Independently  tabulated 
arson  rates  appear  on  page  37  of  this  publication. 

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

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

*Includes  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. 
Population  figures  were  rounded  lo  the  nearest  thousand    All  rates  were  calculated  on  the  population  before  rounding 

Forcible  rape  figures  furnished  by  the  state-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,  and  Cnme  index  total  calegones.  The  rales  for  these  categones  were  calculated  excluding  the 
population  for  the  State  of  Illinois. 


147 


Table  15.  —  Crime  Rates,  Offenses  Known  to  the  Police,  Suburban  and  Nonsuburban  Cities  ,  Population  Group,  1987 

[1987  estimaled  population.  Rate:  Number  of  crimes  per  100.000  inhabitants] 


Population  group 


Cnme 
Index 
total 


Modified 
Cnme 
Index 
tolal- 


Violent 
crime' 


Property 
cnme* 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Suburban  Cities 

TOTAL  SUBURBAN  aXIES: 

4.178  cities;  population 
41,600,000: 
Number  of  offenses  known . 
Rate 


Group  IV 

429  cities,  25,000  to  49.999; 
population  14,721,000: 
Number  of  offenses  known 
Rate 


Group  V 

1,020  cities,  10,000  to  24,999; 
population  16,252,000: 
Number  of  offenses  known 
Rale 

Group  VI 

2,729  cities  under  10,000; 
population  10,627,000: 
Number  of  offenses  known . 
Rale 


Nonsuburban  Cities 

TOTAL  NONSUBURBAN 
CITIES:  3.073  cities; 
population  21.022.000: 
Number  of  offenses  known . 
Rate 


Group  IV 

161  cities,  25,000  to  49,999; 
population  5.538.000: 
Number  of  offenses  known . 

Rate 


Group  V 

438  cities.  10,000  to  24,999; 
population  6.736,000: 
Number  of  offenses  known  - 
Rate 


Group  VI 

2,474  cities  under  10,000; 
population  8,747,000: 
Number  of  offenses  known 
Rate 


2.094,644 
5,484.5 


828,133 
6,154.5 


746,892 
5,044.8 


519.619 
5.232.1 


1,113,204 

5,588.7 


378.927 
7,376.1 


377,401 
5,881.7 


356,876 
4,266.2 


152,832 
400.2 


1,941,812 
4,667.8 


1,558 

3.7 


9,144 
23.9 


40,679 
97.8 


101.451 
243.9 


442.237 
1.063.1 


1.342.208 
3.226.5 


157.367 
378.3 


68,932 
512.3 


52,233 
352.8 


31,667 
318.9 


759,201 
5,157.2 


694,659 
4,274.2 


487,952 
4,591.8 


692 
4.7 


568 
3,5 


298 

2,8 


3,998 
29.7 


3,201 
21.6 


1.945 
19.6 


20,869 
141.8 


13,703 
84.3 


6,107 
57.5 


43,373 
294.6 


34,761 
213.9 


23,317 
219.4 


184,035 
1,250.1 


157,704 
970.3 


100,498 
945.7 


503.826 
3,422.5 


480,776 
2,958.2 


357,606 
3,365.2 


71.340 
484.6 


56.179 
345.7 


29,848 
280.9 


81,236 
407.8 


1.031,968 
4,909,1 


1.015 
4.8 


5.343 
26.8 


13,826 
65.8 


61.052 
290.4 


238,324 
1,133.7 


746,347 
3.550.4 


47,297 
225.0 


29,351 
571.3 


26,516 
413.2 


25,369 
303.3 


349,576 
6,312.4 


350,885 
5,208.9 


331,507 
3,7898 


334 
6.0 


332 
4.9 


349 

4.0 


2,053 
4.0 


1,799 
28.0 


1,491 
17.8 


6,968 
125.8 


4,312 
64.0 


2,546 
29.1 


19.996 
361-1 


20,073 
298.0 


20,983 
239.9 


84,381 
1,523.7 


78.950 
1,172.0 


74,993 
857.3 


247,792 
4.474.4 


256.412 
3,806.4 


242.143 
2,768.2 


17,403 
314.3 


15.523 
230.4 


14.371 
164.3 


'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. 

'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  37  of  this  publication. 

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

^Property  cnmes  are  offenses  of  burglary,  larceny-theft,  and  motor  vehicle  theft.  Data  are  not  included  for  the  property  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  cnme,  and  Cnme  Index  total  categones.  The  rates  for  these  categories  were  calculated  excluding  the 
population  for  the  State  of  Illinois. 
Population  figures  were  rounded  to  the  nearest  thousand.  All  rates  were  calculated  on  the  population  before  rounding. 


148 


Table  16.  —  Crime  Rates,  Offenses  Known  to  the  Police,  Suburban  and  Nonsuburban  Counties,  Population  Group,  1987 

[1987  estimated  population.  Rale:  Number  of  cnmes  per  100,000  inhabitants] 


Population  group 

Crime 
Index 
lolal 

Modified 
Crime 
Index 
lolal' 

Violent 
crime' 

Property 

crime' 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robljery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
ihefl 

Motor 

vehicle 
theft 

Arson' 

Suburban  Counties' 

100,000  and  over 

102  counties;  population 
24,674.000: 

1,208,210 
4,996.5 

118,452 
489.9 

1.089,758 
4.416.7 

1,636 
6.6 

8.090 

34.5 

32,732 
132.7 

75,994 
308.0 

333,198 
1,350.4 

648.019 
2,625.3 

108,541 
439.9 

Rate                 

25.000  to  99,999 

306  counties;  population 
15.328.000: 

378,441 
2,579.0 

33.757 
230.0 

344.684 
2,248.7 

704 
4.6 

3.312 
22.6 

4,122 
26.9 

25,619 
167.1 

124,759 
813.9 

198,216 
1,293.1 

21,709 
141.6 

Rale                                  

Under  25.000 

808  counties;  population 
2,501.000: 

115,584 
4.874.1 

10.872 
458.5 

104,712 
4,186.6 

210 

8.4 

1,272 
53.6 

1.339 
53.5 

8,051 
321.9 

31,641 
1.265,1 

60,201 
2,406.9 

12,870 
514.6 

Rate                                     

Nonsuburban  Counties* 

25,000  and  over 

10,573,000: 
Number  of  offenses  known 

Rate                                        

220.114 
2.105,8 

20.853 
199.5 

199,261 
1.884.7 

483 
4.6 

1.876 
17.9 

1.915 
18.1 

16,579 
156.8 

74.814 
707.6 

112,413 
1,063.2 

12,034 
113.8 

10,000  to  24,999 

638  counties;  population 
9,968,000: 
Number  of  offenses  known 

166.195 
1,780.0 

13.789 
147.7 

152.406 
1,528.9 

495 
5.0 

1,242 
13.3 

1,059 
10.6 

10.993 
110.3 

61.350 
6155 

82,361 
826,2 

8,695 

87,2 

Rate 

Under  10.000 

4.398,000: 
Number  of  offenses  known 

115,098 
2,724.4 

10,061 
238.1 

105,037 
2,388.3 

387 
8.8 

1,409 
33.4 

769 
17.5 

7,496 
170.4 

39.931 
907,9 

57,900 
1,316,5 

7,206 
163.8 

Rate 

'Arson  rales  are  not  presented  in  this  table  because  fewer  agencies  furnished  complete  reports  for  arson  than  for  the  other  seven  Cnme  Index  offenses.  Independently  tabulated 
arson  rates  appear  on  page  37  of  this  pubhcation. 

^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  shenffs'  and  county  law  enforcement  agencies.  State  police  offenses  are  not  included. 

Forcible  rape  figures  furnished  by  the  state-level  Uniform  Crime  Reporting  (UCR)  Program  administered  by  the  Illinois  Department  of  State  Police  were  not  in  accordance  with 
national  UCR  guidelines  and  were  excluded  from  the  forcible  rape,  violent  crime,  and  Cnme  Index  total  categones-  The  rates  for  these  categories  were  calculated  excluding  the 
population  for  the  State  of  Illinois. 
Population  figures  were  rounded  to  the  nearest  thousand.  All  rates  were  calculated  on  the  population  before  rounding. 


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151 


Table  18. —  Offense  Analysis,  1987,  and  Percent  Change  from  1986 

[13.149  agencies;   1987  eslimaled  population  225.052.000] 


MURDER 
FORCIBLE  RAPE.. 
ROBBERY: 

Total 


Street/highway 

Commercial  house 

Gas  or  service  station 

Convenience  store 

Residence 

Bank   

Miscellaneous 


BURGLARY: 
ToUl 


Residence  (dwelling): 

Night 

Day 

Unknown  

Nonresidence  (store,  office,  etc.): 

Night 

Day 

Unknown 


LARCENY-THEFT  (EXCEPT  MOTOR  VEHICLE  THEFT): 
Total 


By  type: 

Pocket-picking 

Purse-snatching 

Shoplifting  

From  motor  vehicles  (except  accessories) 

Motor  vehicle  accessones 

Bicycles 

From  buildings 

From  coin-operated  machines 

All  others 

By  value: 

Over  $200 

$50  to  $200 

Under  $50 


MOTOR  VEHICLE  THEFT 


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

Table  19.  —  Type  and  Value  of  Property  Stolen  and  Recovered,  1987 

[13.149  agencies;   1987  estimated  population  225.052.000] 


Type  of  property 


Total' . 


Currency,  notes,  etc 

Jewelry  and  precious  metals 

Clothing  and  furs 

Locally  stolen  motor  vehicles 

Office  equipment 

Televisions,  radios,  stereos,  etc. 

Firearms  

Household  goods 

Consumable  goods 

Livestock 

Miscellaneous 


Number  of 

offenses 

1987 


17.886 
83,885 

479,348 


260.957 
60.725 
14.535 
27.013 
49.942 
6.779 
59.397 


2,945,073 


1.993.689 
623.658 
837.645 
532.386 
951.384 
470.533 
189,034 
291,817 


6,851,548 


Percent 

change  over 

1986 


74,144 
82.319 
,046.207 
,444.300 
,155.452 
439.848 
.001.520 
60.843 
.546.915 


2.340.296 
1.784,405 
2.726,847 

1.176.273 


-2.8 
-f.5 


-4.5 


-6.5 
-1.9 
-5.0 
•H.5 
-5.5 
-1-6.5 
-.4 


Percent 
distribu- 
tion' 


-.1 
-2.5 

-^.3 
+2.\ 
-1.3 
-3.6 
-1-2.7 


■f3.4 


-4.1 
-5.2 
+6.1 
-f5.2 
-1-4.8 
-6.8 
-.5 
•t-2.9 
-1-5.3 

-t-2.9 

-.1 

-1-6.3 

-t-5.1 


1 00.0 


100.0 


67.7 
21.2 
28.4 
1 

32.3 
16.0 
6.4 
9.9 


100.0 


Value  of  property 


$11,784,214,000 


719.659.000 
,143.415.000 
268.144.000 
,907.293.000 
177.884.000 
,056.844,000 
115,139,000 
209,044,000 
79,492,000 
19,553,000 
,087,748,000 


Recovered 


$  4,313,538,000 


41,962,000 

61,146,000 

39,448,000 

1,854,165,000 

15,758,000 

52,850,000 

11,867,000 

14,137,000 

11,975,000 

3,105,000 

207,129,000 


Average 
value 


$  107 
30 


631 


54,4 

492 

12.7 

1.017 

3.0 

321 

5.6 

292 

10.4 

796 

1.4 

3.013 

12.4 

668 

975 


1,004 
308 

1,085 

1,107 
914 
838 
848 

1,079 


404 


1.1 

286 

1.2 

238 

15.3 

96 

21.1 

434 

16.9 

288 

6.4 

172 

14,6 

665 

09 

128 

22.6 

591 

34.2 

1.074 

26.0 

115 

39.8 

18 

4,964 


Percent 
recovered 


36.6 


5.8 
5,3 
14,7 
65.2 
8.9 
5.0 
103 
6.8 
15,1 
15,9 
9.9 


'All  totals  and  percentages  calculated  before  rounding. 


152 


SECTION  III 
CRIME  INDEX  OFFENSES  CLEARED 


For  UCR  purposes,  law  enforcement  agencies  clear  or 
solve  an  offense  when  at  least  one  person  is  arrested, 
charged  with  the  commission  of  the  offense,  and  turned  over 
:=  to  the  court  for  prosecution.  Several  crimes  may  be  cleared 
by  the  arrest  of  one  person,  while  the  arrest  of  many  persons 
may  clear  only  one  offense.  Law  enforcement  agencies  may 
clear  a  crime  by  exceptional  means  when  some  element 
beyond  law  enforcement  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  cleared  21  percent  of  the 
Crime  Index  offenses  brought  to  their  attention  during 
1987.  Forty-seven  percent  of  the  violent  crimes  collectively 
were  cleared.  Reporting  agencies  recorded  a  70-percent 
clearance  rate  for  murder,  53  percent  for  forcible  rape,  27 
percent  for  robbery,  and  59  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  percent. 
For  burglary,  the  rate  was  14  percent;  for  larceny-theft,  20 
percent;  for  motor  vehicle  theft,  15  percent;  and  for  arson, 
16  percent.  When  considering  the  Modified  Crime  Index 
total  which  includes  arson,  the  overall  clearance  rate 
remained  the  same,  21  percent. 


Regionally,  the  highest  total  Crime  Index  clearance  rate 
was  registered  in  the  West  with  22  percent.  Following  were 
the  South  with  21  percent,  the  Northeast  with  20  percent, 
and  the  Midwest  with  19  percent.  In  both  the  West  and  the 
South,  the  violent  crime  clearance  rate  was  50  percent,  while 
in  the  Northeast  and  the  Midwest,  it  was  43  percent. 

By  community  type,  rural  county  law  enforcement 
agencies  showed  clearances  for  22  percent  of  the  Crime 
Index  offenses  brought  to  their  attention.  Those  in  cities 
cleared  21  percent,  and  those  in  suburban  counties,  20 
percent. 

Clearances  Involving  Only  Persons  under  18  Years  of  Age 

Involvement  of  juveniles  in  crime  can  be  measured  by  the 
number  of  crimes  in  which  they  have  been  identified  as  the 
offenders.  Even  though  no  physical  arrest  has  been  made,  a 
clearance  by  arrest  is  recorded  when  an  offender  under  18 
years  of  age  is  cited  to  appear  in  juvenile  court  or  before 
other  juvenile  authorities.  Juveniles  (persons  under  18  years 
of  age)  accounted  for  an  estimated  26  percent  of  the  1987 
United  States  population. 

Eighteen  percent  of  the  Crime  Index  offenses  cleared  by 
law  enforcement  during  1987  involved  only  young  people 
under  age  18.  Persons  in  this  age  group  accounted  for  8 
percent  of  the  violent  crime  clearances  and  21  percent  of 
those  for  property  crimes.  Murder  showed  the  lowest 
percentage  of  juvenile  involvement  (5  percent),  while  the 
highest  percentage  was  shown  for  arson  (36  percent). 

Geographically,  the  Midwestern  States  recorded  the 
largest  percentage  of  Crime  Index  offense  involvement  by 
the  under  18  age  group- 23  percent.  Juveniles  were  the 
offenders  in  20  percent  of  the  clearances  in  the  Western 
States,  17  percent  of  those  in  the  Northeastern  States,  and 
15  percent  of  those  in  the  Southern  States. 


153 


Crimes  Cleared  by  Arrest 

1987 


Murder  Aggravated        Forcible  Rape         Robbery 

Assault 


Crimes  of 
Violence 


Not  Cleared 
Cleared 


Crimes  Against 
Property 


Not  Cleared 
Cleared 


Burglary 


Larceny-Theft 


Motor  Vehicle  Theft 


154 


Table  20.  —  Offenses  Known  and  Percent  Cleared  by  Arrest',  Population  Group,  1987 

[1987  estimated  population] 


Population  group 


Crime 
Index 
total 


Modified 
Crime 
Index 

total^ 


Violent 
en  me' 


Property 
cnme* 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robl>ery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


TOTAL  ALL  AGENOES: 

13,435  agencies;  total 

population  225,063,000: 

Offenses  known 

Percent  cleared  by  arrest . 


TOTAL  CITIES:  9,173  cities; 
total  population  152,029,000: 

Offenses  knotvn 

Percent  cleared  by  arrest . 


12,502,268 
20.9 


12,599,652 
20.9 


1.354,012 

47.4 


11,148,256 

17.7 


18,430 
70.0 


81,980 
52.9 


474,713 
26.5 


778,889 
59.0 


3,000,346 
13.8 


6,956,276 
19.8 


1,191,634 
15.3 


10,217,067 
21.0 


10,292,550 
21.0 


1,137,027 
46.0 


9,080,040 
17.9 


14,326 
69.9 


63,901 
52.3 


431,305 
26.3 


627,495 
58.5 


2,314,847 
13.3 


5,751,288 
20.3 


1,013,905 
14.2 


Group  I 

60  elites,  250.000  and  over; 
total  population  41,410,000; 
Offenses  known 
Percent  cleared  by  arrest 
7  cities,  1,000,000  and  over; 
total  population   17,158,000: 

Offenses  known 

Percent  cleared  by  arrest 

15  cities,  500,000  lo  999.999; 

total  population  10,219,000; 

Offenses  known 

Percent  cleared  by  arrest 

38  cities,  250.000  to  499,999; 

lotal  population  14,033,000; 

Offenses  known       

Percent  cleared  by  arrest 

Group  II 

127  cities,  100,000  to  249,999 
total  population  18,574.000; 
Offenses  known 
Percent  cleared  by  arrest 

Group  III 

315  cities,  50,000  to  99,999; 
total  population  21.455,000; 

Offenses  known        

Percent  cleared  by  arrest 


3,953,574 
18.9 


1,594,107 
18.4 


892,090 
18.2 


1,467,377 
19.9 


1,533,527 
21-2 


1,363,428 
21  5 


3,988,412 
1 


1,610.728 
18,3 


899.635 
18,1 


1.478,049 
19,8 


1,545.983 
21,1 


1,372,110 
21,5 


598.755 
42,2 


305,491 
40.6 


112,068 
41  1 


181,196 
45,6 


157.219 
49,1 


132.423 

47,2 


3.354.819 
14,7 


1,288,616 
13,1 


780,022 
14,9 


1,286,181 
16-2 


1,376,308 
18,0 


1,231,005 
18.8 


8,369 
67,4 


4,249 
67,4 


1,830 
64,2 


2,290 
70.2 


1,926 

74.7 


1,292 
71.5 


30,324 
52.4 


11,037 
53.1 


7,633 
54.3 


11,654 
50,5 


9.790 
52,9 


8,428 
50,1 


276,220 
25,2 


151,712 
24.4 


50,861 
24,6 


73,647 
27.2 


56.414 
28.4 


41.350 
26.8 


283.842 
56.9 


138.493 
56.6 


51,744 

54,5 


93,605 
58,8 


89,089 
61,2 


81,353 
56.9 


905.608 
11.6 


334,517 
11.2 


212,338 
12.3 


358,753 
11.6 


381.082 
13.6 


313,773 
13.4 


1.915,539 
17.1 


689,518 
15.1 


451,501 
16.6 


774,520 
19.1 


866,335 
20.4 


786,239 
21.8 


533,672 
11.5 


264,581 
10.3 


116,183 
12.8 


152,908 
12,4 


128.891 
14.8 


130,993 
13.4 


97,384 
15.8 


75,483 
15.0 


34.838 
11.3 


16,621 
5.9 


7,545 
17.4 


10,672 
15,2 


12.456 
15.0 


8,682 
14.9 


155 


Table  20.  —  Offenses  Known  and  Percent  Oeared  by  Arrest',  Population  Group,  1987  —  Continued 


Population  group 

Crime 
Index 
total 

Modified 
Cnme 
Index 
lolal' 

Violent 

cnme' 

Properly 
crime* 

Murder 
and  non- 
ncgligenl 

man* 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
Ihert 

Motor 
vehicle 
Ihcfl 

Arson' 

Group  IV 

657  cities,  25,000  to  49,999; 
total  population  22,517,000; 

1,265,115 

22.5 

1,272,389 

22.5 

104,385 
48.2 

1,160,730 
20.2 

1,068 
71.1 

6,389 
51.5 

29,038 

27.5 

67,890 
56.4 

279,882 
14.5 

783,927 
22.7 

96,921 

16.9 

7,274 

Percent  cleared  by  arrest       

18.4 

Group  V 

1,604  cities,   10,000  to  24,999; 
total  population  25,249,000: 

1,169,920 
23.9 

1,176,505 
23.9 

82,577 
52.5 

1,087,343 
21.8 

959 
74.6 

5,279 
51.4 

18,896 
30.2 

57,443 
59.6 

246,754 
15.0 

765,052 
24.0 

75,537 
21.5 

6,585 

Percent  cleared  by  arrest 

21.5 

Group  VI 

6,410  cities  under  10,000;  total 
population  22,826,000: 
Offenses  known      

931,503 
23.1 

937,151 
23.1 

61,668 
60.9 

869,835 
20.4 

712 

75.7 

3,691 
38.1 

9,387 
31.7 

47,878 
66.6 

187,748 
16.5 

634,196 
20.9 

47,891 
29.2 

5,648 

Percent  cleared  by  arrest 

26.0 

Suburban  Counties 

1,308  agencies;  total 
population  44,291,000: 

Offenses  known 

Percent  cleared  by  arrest 

1,736,203 
20.3 

1,752,369 
20.3 

166,608 

52.2 

1,569,595 
16.9 

2,569 
67.7 

12,834 
54.0 

39,226 
28.0 

111,979 
60.2 

492,672 
15.1 

930,869 
17.5 

146,054 
19.2 

16,166 
18.2 

Rural  Counties 

2,954  agencies;  total 
population  28,744,000: 
Offenses  known 

548,998 
21.6 

554,733 
21.6 

50,377 
61.8 

498,621 
17.6 

1,535 
74.8 

5,245 
57.4 

4,182 
37.4 

39,415 
64.5 

192,827 
15.8 

274,119 
17.1 

31,675 
32.3 

5,735 
19.6 

Suburban  Area' 

6,264  agencies;  total 
population  91,628,000: 

3,943,311 
21.2 

3,972,494 
21.2 

329,416 
513 

3,613,895 
18.4 

4,232 
68.1 

22,591 
52.9 

82,008 
27.6 

220,585 
59.6 

958,148 
14.8 

2,339,657 
19.9 

316,090 
18.4 

29,183 

Percent  cleared  by  arrest 

18.6 

'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.  However,  the  number  of  agencies 
used  m  the  arson  column  for  this  table  is  greater  than  the  number  used  in  the  clearance  tables  on  page  38,  since  it  is  not  necessary  to  report  clearances  by  property  classification 
to  be  included  in  this  table.  The  Modified  Crime  Index  total  is  the  sum  of  the  Crime  Index  offenses,  including  arson, 

'Violent  crimes  are  ofTenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault. 

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

^Includes  suburban  city  and  county  law  enforcement  agencies  within  metropolitan  areas.  Excludes  central  cities.  Suburban  cities  and  counties  are  also  included  in  other  groups. 

Forcible  rape  figures  furnished  by  the  State-level  Uniform  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,  Crime  Index  total,  and  Modified  Crime  Index  total  categories. 


156 


Table  21.  —  Offenses  Known  and  Percent  Cleared  by  Arrest',  Geographic  Division,  1987 

[1987  estimated  population] 


Geographic  division 

Cnme 
Index 

total 

Modified 
Cnme 
Index 
total' 

Violent 
crime' 

Property 
crime* 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
Ihefl 

Motor 
vehicle 
theft 

Arson' 

TOTAL  ALL  DIVISIONS 

13,435  agencies;  population 
225,063,000: 

Offenses  known 

12.502,268 
20.9 

12,599,652 
20.9 

1,354,012 
47.4 

11,148,256 

17.7 

18,430 
70.0 

81,980 
52.9 

474,713 
26.5 

778,889 
59.0 

3,000,346 
13.8 

6,956,276 
19.8 

1,191,634 
15.3 

97,384 
15.8 

Percent  cleared  by  arrest 

New  England  States 

677  agencies;  population 
11.383.000: 

OfTenses  known  

515,142 
19.2 

519.326 
19.1 

48,240 
46.0 

466,902 
16.4 

418 
74.9 

3.082 
55.1 

16,516 
23.3 

28.224 
57.8 

120.759 
13.4 

273.753 
19.5 

72.390 
9.5 

4.184 
15.1 

Percent  cleared  by  arrest 

Middle  Atlantic  States 

2,373  agencies;  population 
37,060.000: 

Offenses  known 

1.809,479 
19.9 

1.825,800 
19.9 

262.083 
42.8 

1,547,396 
16.1 

2.988 
68.2 

11.000 
56.7 

123,985 
26.0 

124,110 
57.6 

373,476 
13.6 

944.628 
18.5 

229.292 
9.8 

16.321 
12.3 

Percent  cleared  by  arrest  

Northeastern  Region 

3,050  agencies;  population 
48,443,000; 

OfTenses  known     

2.324.621 
19.8 

2,345.126 
19.7 

310.323 
43.3 

2,014,298 
16.1 

3.406 
69.1 

14.082 
56.3 

140,501 
25.7 

152,334 
57.7 

494,235 
13.6 

1.218,381 
18.8 

301.682 
9.7 

20.505 
12.9 

Percent  cleared  by  arrest  

East  North  Central  States 

2,143  agencies;  population 
34,309,000: 

Offenses  known 

1,637.166 
18.2 

1.651.942 
18.1 

155.910 
39.7 

1,481,256 
15.9 

2.302 
66.8 

11,890 
42.2 

53,465 
20.4 

88,253 
50.4 

371,014 
105 

960.102 
18.3 

150.140 
14.1 

14.776 
11.4 

Percent  cleared  by  arrest 

West  North  Central  States 

1,334  agencies;  population 
15,902,000: 

OfTenses  known    

725,445 
21.9 

730.325 
21.9 

56.069 
51.3 

669.376 
19.5 

709 
75.0 

4,204 
51.0 

15,721 
26.5 

35,435 
61.9 

162,174 
13.2 

460,873 
21.7 

46.329 
19.3 

4,880 
18.5 

Percent  cleared  by  arrest 

Midwestern  Region 

3,477  agencies;  population 
50,211,000: 

Offenses  known     

2.362,611 
19.3 

2.382.267 
19.3 

211,979 
42.8 

2,150,632 
17.0 

3.011 

68.7 

16,094 

44.5 

69,186 
21.7 

123,688 
53.7 

533.188 
11.3 

1,420,975 
19.4 

196.469 
15.3 

19,656 
13.2 

Percent  cleared  by  arrest 

South  Atlantic  States 

2,634  agencies;  population 
40.284.000; 

Offenses  known 

2.346.463 
23.2 

2.360.406 
23.1 

265.968 
51.4 

2,080,495 
19.6 

3.939 
71.1 

15,492 
58.8 

86,605 
28.1 

159.932 
62.8 

599,631 
17.2 

1,304,618 
20.3 

176.246 
22.1 

13,943 
21.7 

Percent  cleared  by  arrest 

East  South  Central  States 

968  agencies;  population 
12,075,000: 

Offenses  known 

523.742 
17.9 

527,790 
17.9 

59.801 
41.2 

463,941 
14.9 

1.101 
74.5 

4,176 
45.9 

17,454 
24.1 

37,070 
47,7 

144,832 
III 

275,881 
16.9 

43,228 
14.9 

4,048 
20.2 

Percent  cleared  by  arrest 

West  South  Central  States 

1,368  agencies;  population 
25,827,000: 

OfTenses  known 

1,816.940 
20.2 

1.828,859 
20.2 

155,641 
51.4 

1,661,299 
17.3 

2,821 
72.6 

11,395 
58.4 

50,902 
303 

90,523 
61.7 

493,905 
141 

1,002,316 
19.0 

165,078 
16.2 

11,919 
17.8 

Percent  cleared  by  arrest 

Southern  Region 

4,970  agencies;  population 
78,186,000: 

Offenses  known 

4,687,145 
21.4 

4,717,055 
21.4 

481,410 
50.1 

4,205,735 
18.1 

7,861 
72.1 

31,063 
56.9 

154,961 
28.3 

287,525 
60.5 

1,238,368 
15.3 

2,582,815 
19.4 

384,552 
18.8 

29,910 
20.0 

Percent  cleared  by  arrest 

157 


Table  21.  — Offenses  Known  and  Percent  Cleared  by  Arrest',  Geographic  Division,  1987  —  Continued 


Geographic  division 

Cnme 
Index 
lotal 

Modified 
Cnme 
Index 
lolal' 

Violent 
cnme' 

Property 
cnme* 

Murder 
and  non- 
negligenl 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
Ihefl 

Motor 
vehicle 
theft 

Arson" 

Mountain  States 

750  agencies;  population 
12,483,000: 

771.951 
24.1 

2,355,930 
21.6 

3,127,891 
22.3 

776,946 
24.1 

2.378,258 
21.6 

3,155,204 
22.2 

58.160 
55.3 

292.140 
49.1 

350.300 
50.1 

713,801 
21.6 

2.063.790 
17.8 

2.777.591 
18.7 

753 
758 

3.399 
65.8 

4.152 
57.8 

4.536 
51.5 

16.105 
51.0 

20.741 
51.1 

14.014 

29.2 

95.051 

27.8 

1 10,065 
27.9 

38,757 
64.8 

176,585 
60.2 

215,342 
61.1 

175,204 
13.0 

559,351 
13.2 

734,555 
13.1 

493.465 
24.6 

1,240,640 
203 

1,734.105 
21.5 

45,132 
22.5 

263.799 
15.5 

308,931 
16.5 

4,985 

Percent  cleared  by  arrest 

Pacific  States 

1,188  agencies,  population 
35.740.000: 
Offenses  known             

21.0 

22,328 
14.1 

Western  Region 

1,938  agencies;  population 
48,223.000; 

27,313 

15.4 

'Includes  offenses  cleared  by  exceptional  means. 

-The  number  of  agency  reports  used  in  arson  clearance  rales  is  less  than  used  in  compiling  clearance  rates  for  other  Cnme  Index  offenses    However,  the  number  of  agencies 
used  in  the  arson  column  for  this  table  is  greater  than  the  number  used  in  the  clearance  table  on  page  38.  since  it  is  not  necessary  to  report  clearances  by  properly  classification  to 
be  included  in  this  table    The  Modified  Crime  Index  total  is  the  sum  of  the  Cnme  Index  offenses,  including  arson 

'Violent  cnmes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault 

'Properly  cnmes  are  offenses  of  burglary,  larceny-theft,  and  motor  vehicle  theft    Data  are  not  included  for  the  property  cnme  of  arson. 

Forcible  rape  figures  furnished  by  the  State-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  cnme,  Cnme  Index  total,  and  Modified  Cnme  Index  total  categones 


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160 


Table  23.  —  Offenses  Oeared  by  Arrest'  of  Persons  Under  18  Years  of  Age,  1987 
[1987  estimated  population] 


Population  group 


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 


TOTAL  ALL  AGENOES: 
13,297  agencies;  population 
222,341,000: 

Total  clearances 

Percent  under  18  

TOTAL  CITIES;  9,158  cities; 
population  151,095,000: 

Total  clearances 

Percent  under  18  

Group  I 

59  cities,  250,000  and  over; 
population  40,923,000: 

Total  clearances 

Percent  under  18 

7  cities,  1,000,000  and  over; 
population  17,158,000: 

Total  clearances 

Percent  under  18 

15  cities,  500,000  to  999,999; 
population  10,219.000: 

Total  clearances 

Percent  under  18 

37  cities,  250,000  to  499,999; 
population  13,545,000: 

Total  clearances 

Percent  under  18 

Group  II 

126  cities,  100.000  to  249.999; 
population  18.399,000: 

Total  clearances 

Percent  under  18 

Group  III 

313  cities,  50,000  to  99,999; 
population  21,337.000: 

Total  clearances 

Percent  under  18 

Group  IV 

656  cities.  25.000  to  49,999; 
population  22.484.000: 

Total  clearances  

Percent  under  18 


2,595,588 
18.1 


2,134,878 
18.3 


741,233 
13.2 


293,429 

8.7 


161.958 
15.7 


285.846 
16.3 


322.640 
17.5 


292,293 
20.6 


285.085 
22.2 


2,610,857 
18.3 


2,146,171 
18.4 


636,458 
8.5 


520,907 
8.4 


1,959,130 
21.3 


1,613,971 

21.5 


12,751 
5.2 


9,928 
4.8 


42,930 
9.4 


33.237 
9.2 


125,084 
9.6 


112,697 
9.6 


455,693 
8.2 


365,045 
8.1 


409,128 
19.1 


306,390 
18.6 


1,369,247 
22.2 


1,164,055 
22.5 


180,755 
19.8 


143,526 
19.8 


745,155 
13.3 


294.417 


163.269 
15.9 


287.469 
16.4 


324.499 
17.6 


293,586 
20.6 


286.421 
22.3 


250,733 
6.6 


124.069 
4.9 


46.043 
8.4 


80,621 
8.3 


76,667 
8.6 


62,358 
10.4 


50,318 
111 


490,500 
16.5 


169.360 
11.5 


115,915 
18.5 


205.225 
19.4 


245,973 
20.2 


229,935 
23.3 


234.767 
24.6 


5,573 
4.5 


2,862 
3.7 


1,174 
5.3 


1,537 
5.5 


1.423 
4.4 


923 
6.1 


757 
4,2 


15,758 
7.4 


5,857 
5.8 


4.145 
7.7 


5,756 
8.7 


5,128 
8.5 


4.211 
12.1 


3.287 
11.3 


69,087 

7.7 


36,982 
6.1 


12,514 
9.7 


19,591 
9.5 


15.904 
10.7 


11.072 
14.0 


7.973 
14.3 


160,315 
6.2 


78,368 
4.3 


28,210 
8.0 


53,737 
8.0 


54,212 
8.2 


46,152 
95 


38.301 
10.5 


104,669 
13.5 


37,589 
9.3 


26,059 
15,0 


41,021 
16,5 


51.585 
15.2 


41,733 
19.9 


40.485 
22.7 


324,995 
17.1 


104,418 
11.9 


74,955 
187 


145,622 
20.0 


175.490 
21.6 


170,822 
24.4 


177.950 
25.3 


60,836 
18.4 


27,353 
13.3 


14,901 
24.0 


18,582 
21.5 


21.4 


17,380 
21  1 


16.332 
21.2 


15,269 
36.0 


11,293 

37.7 


3,922 
31.9 


988 
25.9 


1,311 
40.6 


1,623 
28.5 


1.859 
38.6 


1,293 
36.7 


1,336 
41.7 


161 


Table  23.  —  Offenses  Cleared  by  Arrest'  of  Persons  Under  18  Years  of  Age,  1987  —  Continued 


Population  group 


Crime 
Index 
(olal 


Modified 
Cnme 
Index 
tolat' 


Violent 
crime' 


Property 
crime* 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Group  V 

1,597  cities,  10,000  to  24,999; 
population  25.137,000: 

Total  clearances 

Percent  under  18 


Group  VI 

6,407  cities  under  10,000; 
population  22,816,000: 

Total  clearances 

Percent  under  18 


Suburban  Counties 

1,265  agencies: 
population  43,192,000: 

Total  clearances 

Percent  under  18 


Rural  Counties 

2,874  agencies; 
population  28,054,000: 

Total  clearances 

Percent  under  18 


Suburban  Areas 

6.213  agencies;  population 
90,412,000: 

Total  clearances 

Percent  under  18 


278,849 
22.9 


214.778 
23.2 


346,138 
17,5 


114.572 
17.0 


828,083 
20.3 


280.265 
23.0 


216,245 
23.4 


349,007 
17.6 


115,679 
17.1 


833.420 
20.4 


43.289 
108 


37,542 
10.6 


85,594 
8.9 


29,957 
7,8 


167,436 
10,3 


235.560 
25,2 


177,236 
25,9 


260.544 
20,3 


84,615 
20,3 


660,647 
22,9 


713 
6,5 


539 
5,0 


1,704 
6.3 


1,119 
7.1 


2.845 
6,2 


2,708 
11,8 


2.145 
11.7 


6,773 
9,3 


2,920 
13,0 


11,794 
10,6 


5,681 
12,8 


2,980 

12,2 


10,855 
101 


1,532 
6,7 


22,438 
12,3 


34,187 
10,4 


31,878 
10.5 


66,262 

8,7 


24,386 

7,2 


130.359 
10,1 


36,942 
24,2 


30,976 
27.1 


73,110 
19,6 


29,628 
22,9 


140,067 
21,6 


182,515 
25,8 


132.283 
26.3 


160,078 
20.7 


45,114 
18,5 


463.160 
23,6 


16,103 
19.9 


13,977 
20,1 


27,356 
19.7 


9,873 
20.6 


57,420 
20.0 


1,416 
45.9 


1,467 
41.6 


2,869 
33.6 


1,107 
24.7 


5,337 
39.6 


'Includes  offenses  cleared  by  exceptional  means, 

"The  number  of  agency  reports  used  in  arson  clearance  rates  is  less  than  used  in  compiling  clearance  rates  for  other  Crime  Index  offenses.  However,  the  number  of  agencies 
used  in  the  arson  column  for  this  table  ts  greater  than  the  number  used  in  the  clearance  tables  on  page  38.  since  it  is  not  necessary  to  report  clearances  by  detailed  property 
classification  to  be  included  in  this  table.  The  Modified  Cnme  Index  total  is  the  sum  of  the  Cnme  Index  offenses,  including  arson, 

'Violent  cnmes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault 

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

^Includes  suburban  city  and  county  law  enforcement  agencies  within  metropolitan  areas.  Excludes  central  cities.  Suburban  cities  are  also  included  In  other  city  groups. 

Forcible  rape  figures  furnished  by  the  State-level  Uniform  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,  Crime  Index  total,  and  Modified  Crime  Index  total  categories. 


162 


SECTION  IV 
PERSONS  ARRESTED 


In  addition  to  being  a  gauge  of  law  enforcement's 
response  to  crime,  arrest  counts  provide  definitive  data 
concerning  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 
residential  burglary.  While  the  practices  for  certain  unlawful 
conduct  such  as  drunkenness,  disorderly  conduct,  vagrancy, 
and  related  violations  may  differ  among  agencies,  those  for 
robbery,  burglary,  and  other  serious  crime  arrests  are  more 
likely  to  be  uniform  and  consistent  throughout  all 
jurisdictions.  This  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  estimated 
12.7  million  arrests  in  1987  for  all  criminal  infractions 
except  traffic  violations.  When  the  arrest  volume  was 
related  to  the  total  United  States  population,  the  arrest  rate 
was  5,330  per  100,000  inhabitants.  In  cities  with  populations 
of  250,000  or  more,  the  rate  was  7,808,  the  highest  recorded. 
For  suburban  county  agencies  overall,  the  arrest  rate  was 
3,949,  and  for  rural  county  law  enforcement,  it  was  3,423 
per  100,000  inhabitants. 

Regionally,  the  arrest  rates  per  100,000  population 
ranged  from  4,523  in  the  Midwest  to  6,091  in  the  West.  The 
South  recorded  an  arrest  rate  of  5,268  and  the  Northeast, 
5,518. 

Arrest  Trends 

The  total  number  of  arrests  for  all  offenses  except  traffic 
violations  increased  2  percent  in  1987  as  compared  to  the 
1986  volume.  During  the  same  time  period,  adult  arrests 
rose  3  percent,  while  those  of  persons  under  1 8  years  of  age 
declined  1  percent.  When  considering  only  the  eight  Crime 
Index  offenses,  arrests  of  persons  of  all  ages  increased  2 
percent,  adult  arrests  rose  3  percent,  and  juvenile  arrests 
showed  virtually  no  change.  Arrests  for  the  Index's  violent 
crimes  increased  1  percent  and  those  for  property  crimes 
rose  2  percent. 

Similar  to  the  national  experience,  2-year  trends  for  city 
agencies  showed  a  2-percent  increase  in  total  arrests,  1987 
over  1986.  Suburban  county  arrests  were  up  4  percent  and 
rural  county  arrests,  3  percent. 

Over  the  5-year  period  beginning  in  1983,  total  arrests 
were  up  9  percent.  Adult  arrests  and  those  of  persons  under 
18  years  of  age  rose  10  and  7  percent,  respectively.  Total 
Crime  Index  arrests  increased  10  percent,  those  of  adults 


jumped  13  percent,  and  arrests  of  juveniles  under  18  years 
of  age  rose  4  percent.  During  the  same  years,  1983-1987, 
total  violent  crime  arrests  increased  1 2  percent  and  property 
crime  arrests  were  up  9  percent. 

Increases  of  25  percent  were  shown  for  both  total  arrests 
and  arrests  for  violent  crimes  in  the  10-year  period,  1978- 
1987.  Arrests  for  the  Crime  Index  offenses  and  the  property 
crimes  rose  18  and  16  percent,  respectively. 

The  1987  drug  abuse  violation  arrest  total  was  13  percent 
above  the  1986  figures  and  38  percent  higher  than  in  1983. 
The  types  of  drugs  involved  in  violations  resulting  in  arrests 
during  1987  are  shown  by  geographic  region  in  the 
accompanying  table. 

Arrests  for  Drug  Abuse  Violations,  1987 

[Percent  distribution] 


Total' 

Sale/Manufaclure: 

Heroin  or  Cocaine  and  their  denvatives  . 

Marijuana 

Synthetic  or  manufactured  drugs 

Other  dangerous  nonnarcotic  drugs 

Possession: 

Heroin  or  Cocaine  and  their  denvatives 

Manjuana 

Synthetic  or  manufactured  drugs 

Other  dangerous  nonnarcotic  drugs 


United 
States 
total 


100.0 
25.8 
14.1 

7.0 
.9 

3.8 
74.2 
31.5 
33.4 

1.8 

7.5 


North- 
eastern 
States 


100.0 
345 
24,5 

7.4 
.7 

1.8 
65.5 
32,3 
28,7 

1,5 

30 


Mid- 
western 
States 


100.0 

27.7 

6.2 

7.8 

.9 

12.8 

72,3 

11,8 

49,4 

1,7 

9,4 


South- 
em 
Slates 


1000 

24,5 

111 

7,6 

1.6 

4.2 

75.5 

24,9 

43,4 

3.2 

4.0 


Western 
Stales 


100.0 

20.0 

11.4 

5.9 

.2 

2.4 

80,0 

42,9 

22.6 

.6 

139 


Because  of  rounding,  percentages  may  not  add  to  totals. 

Age 

Five  percent  of  all  persons  arrested  nationally  in  1987 
were  under  the  age  of  15;  16  percent  were  under  18;  30 
percent  were  under  21;  and  48  percent  were  under  25. 
Persons  in  the  under  25  age  group  accounted  for  49  percent 
of  arrests  in  the  cities,  43  percent  of  those  in  the  suburban 
counties,  and  41  percent  of  those  in  the  rural  counties. 

Age  distribution  figures  for  persons  arrested  for  Crime 
Index  offenses  showed  29  percent  were  under  the  age  of  1 8; 
44  percent  were  under  21;  and  59  percent,  under  25.  The 
under  25  age  group  was  also  responsible  for  47  percent  of 
the  violent  crime  arrests  and  62  percent  of  property  crime 
arrests  in  1987. 

Sex 

Eighty-two  percent  of  the  persons  arrested  in  the  Nation 
during  1987  were  males.  They  accounted  for  78  percent  of 
Index  crime  arrests,  89  percent  of  those  for  violent  crimes, 
and  76  percent  of  the  property  crime  arrests.  Males  were 
most  often  arrested  for  driving  under  the  influence,  which 
accounted  for  14  percent  of  all  male  arrests. 


163 


As  in  past  years,  larceny-theft  was  the  crime  for  which 
females  were  most  often  arrested.  This  single  offense 
accounted  for  80  percent  of  arrests  of  women  for  Index 
crimes  and  20  percent  of  all  female  arrests.  Fifty-five 
percent  of  all  female  larceny-theft  arrestees  were  under  25 
years  of  age. 

Two-year  trends  showed  a  2-percent  increase  in  the 
number  of  male  arrests  from  1986  to  1987;  female  arrests 
rose  4  percent.  Male  arrests  showed  a  rise  of  8  percent  and 
female  arrests  a  jump  of  17  percent  for  the  5-year  period 
from   1983  to   1987. 


Race 

Race  distribution  figures  for  the  total  number  of  arrests  in 
the  United  States  during  1987  showed  69  percent  of  the 
arrestees  were  white,  29  percent  were  black,  and  the 
remainder  were  of  other  races.  Whites  accounted  for  51 
percent  of  the  arrests  for  violent  crimes  and  66  percent  of 
those  for  property  crimes. 


Table  24.— Total  Estimated  Arrests',  United  States,  1987 


TOTAL' 

Murder  and  nonnegligent  manslaughter 

Forcible  rape 

Robbery 

Aggravated  assault 

Burglary 

Larceny-theft 

Motor  vehicle  theft 

Arson 


Violent  crime  

Property  crime^ 

Crime  Index  lotal^ 


Other  assaults 

Forgery  and  counterfeiting 


12.711.600 


19.200 

36,310 

138.290 

352.450 

443,400 

1.469,200 

169,300 

18,000 


546,300 
2,099,900 


2.646,200 


787,200 
93,900 


Fraud 

Embezzlement  

Stolen  properly;  buymg,  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 


341,900 

12,700 

139,300 

273,500 

191,700 

110,100 

100,100 

937.400 

25.400 

58.700 

,727.200 

616,700 

828,300 

698,700 

36,100 

,836,700 

13,500 

89,500 

160,400 


'ArresI  totals  based  on  all  reporting  agencies  and  estimates  for  unreported  areas. 
'Because  of  rounding,  items  may  not  add  to  totals. 

^Violent  crimes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault. 
^Property  crimes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson. 
^Includes  arson. 


164 


Table  25. — Arrests,  Number  and  Rate,  Region,  1987 

[Rate:  Number  of  arrests  per  100,000  inhabitants] 


Offense  charged 


TOTAL. 


Rate  . 


Murder  and  nonnegligent  manslaughter . 

Rale 
Forcible  rape 

Rate 
Robbery 

Rate 

Aggravated  assault 

Rate 

Burglary 

Rate 

Larceny-theft 

Rale 

Motor  vehicle  Iheft 

Rate 

Arson  

Rale      


Violent  crime  ., 
Rate 

Property  crime^ 
Rate 


Uniled  States  Total 

(10,616  agencies, 

population  202,337,000) 


Crime  Index  total 
Rate 


Other  assaults 

Rale 

Forgery  and  counterfeiting 

Rate 

Fraud 

Rate 

Embezzlement  

Rale         

Stolen  property;  buying,  receiving, 
possessing 

Rate 

Vandalism 

Rate 

Weapons;  carrying,  possessing,  etc. 

Rale 
Prostitution  and  commercialized  vice 

Rate 

Sex  offenses  (except  forcible  rape  and 
prostitution) 

Rate 

Drug  abuse  violations 

Rate 

Gambling 

Rate       

Offenses  against  family  and  children 

Rate 

Driving  under  the  influence - 

Rate 

Liquor  laws 

Rale   

Drunkenness 

Rate 
Disorderly  conduct 

Rate 
Vagrancy 

Rate 

All  other  offenses  (except  traffic) 

Rate 

Suspicion  (not  included  in  totals) 

Rate 

Curfew  and  loitering  law  violations 

Rale 

Runaways 

Rale 


10,784,199 


5,329.8 


16,714 

8.3 

31,276 

15.5 

123,306 

60.9 

301,734 

149.1 

374,963 

185.3 

1,256,552 

621,0 

146,753 

72.5 

15,169 

75 


473,030 

233.8 

1,793,437 

886.4 


2,266,467 
1,120.1 


671,938 

332.1 

78,817 

39.0 

280,809 

138.8 

10,639 

5.3 

119,048 
58.8 

230,088 
113.7 

165,650 
81.9 

100,950 
49.9 

85,627 

42.3 

811,078 

400.9 

22,762 

11.2 

48,002 

23.7 

1,410.397 

697.1 

505,021 

249.6 

700,662 

346.3 

599,622 

296.3 

32,518 

16.1 

2,430,913 

1,201.4 

11,670 

5.8 

77,556 

38.3 

135,635 

67.0 


Northeastern  Slates 

(2,256  agencies; 

population  40,033,000) 


2,209,155 


5,518.4 


2,591 

6.5 

6,024 

15.0 

41,270 

103.1 

64,512 

161,1 

60,725 

151  7 

206,120 

514.9 

26,939 

67.3 

3,134 

7.8 


Midweslem  States 

(2.703  agencies, 

population  47,688,0001 


114,397 
285,8 

296,918 
741.7 


411,315 
1,027.4 


119,563 

298.7 

11,087 

27.7 

53,904 

134.7 

877 

2,2 

33,302 
83.2 

62,386 
155,8 

24,831 
62.0 

27,079 
67.6 

12,286 

307 

197,475 

493.3 

6,899 

17.2 

10,146 

25,3 

160,375 

400.6 

86,649 

216.4 

28,016 

70.0 

213,470 

533.2 

7,691 

19.2 

700,500 

1,749,8 

1,665 

4.2 

23,132 

57.8 

18,172 

45.4 


2,156,910 
4,523.0 


4,322 

9.1 

7,813 

16.4 

20,132 

42.2 

45,129 

94,6 

65,091 

136.5 

296,936 

622.7 

23,975 

503 

3,679 

7.7 


77,396 

162.3 

389,681 

817.2 


467,077 
979,5 


165,461 

347.0 

13,330 

28.0 

32,654 

68.5 

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2.4 

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49.0 

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140.6 

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801 

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40.7 

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213.8 

5,762 

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24.6 

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568.0 

161,522 

338.7 

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178,959 

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966,6 

2,216 

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48.8 

37,292 

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Southern  Slates 

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population  68,394,000) 


3,602,934 


5,267.9 


5,833 

8.5 

10,408 

15.2 

32,489 

47.5 

96,317 

140.8 

140,173 

204.9 

411,805 

602.1 

45,353 

66,3 

4,377 

6-4 


Western  States 

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population  46,222,000) 


145,047 
212.1 

601,708 
879.8 


746,755 
1,091.8 


224,344 

328.0 

34,977 

51.1 

171,598 

250.9 

5,983 

8.7 

27,155 

39.7 
50,207 

73.4 
60,062 

87.8 
21,338 

31,2 

22,847 

33.4 

249,902 

365,4 

6,808 

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21,025 

307 

471,720 

689,7 

116,773 

170.7 

408,317 

597,0 

142,183 

207.9 

1,397 

2.0 

763,153 

1,115,8 

7,363 

10.8 

8,643 

12,6 

47,747 

69.8 


2,815,200 


6,090.6 


3,968 

8,6 

7.031 

15,2 

29,415 

63.6 

95,776 

207.2 

108,974 

235.8 

341,691 

739.2 

50,486 

109,2 

3,979 

8,6 


136,190 

294.6 

505,130 

1092,8 


641,320 
1,387,5 


162,570 

351.7 

19,423 

42,0 

22,653 

49,0 

2,624 

5.7 

35,218 
76.2 

50,450 
109.1 

42,536 
92,0 

33,136 
71.7 

31,657 

68.5 

261,754 

566.3 

3,293 

7.1 

5,090 

11.0 

507,433 

1097.8 

140,077 

303,1 

208,373 

450,8 

65,010 

140.6 

21,343 

46,2 

506,310 

1,095,4 

426 

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22,506 

48.7 

32,424 

70.1 


Violent  crimes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault 
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167 


Table  27.  — Total  Arrest  Trends,  1978-1987 

[7,282  agencies;   1987  estimated  population   177,340,000] 


OfTense  charged 


Number  of  persons  arrested 


Total  all  ages 


Percent 

change 


Under   18  years  of  age 


Percent 
change 


18  years  of  age  and  over 


Percent 

change 


TOTAL 

Murder  and  nonnegligent  manslaughter 

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 

Disorderiy  conduct 

Vagrancy 

All  other  offenses  (except  traffic) 

Suspicion  (not  included  in  totals) 

Curfew  and  loitering  law  violations 

Runaways 


7,609,360 


14,456 
21,584 
108,239 
195,075 
384,962 
862,001 
118,102 
13,649 


339,354 

1,378,714 


1,718,068 


9,506,620 


15,064 

27,917 

1 14,439 

267,829 

330,411 

1,122,037 

131,703 

13,383 


425,249 
1,597,534 


2,022,783 


349,545 

593,049 

56,347 

69,566 

181,677 

257,662 

6,210 

9,707 

85,231 

106,879 

176,496 

200,928 

118,954 

146,920 

75,650 

94,493 

51,859 

75,494 

477,213 

737,094 

44,672 

21,202 

41,064 

43,058 

927,316 

1,158,540 

260,263 

423,293 

870,798 

603,977 

545,222 

545,655 

39,634 

30,819 

1,407,935 

2,174,723 

15,584 

10,367 

59,365 

70,314 

115,841 

120,464 

+24.9 


1,716,122 


1,580,534 


-7.9 


5,893,238 


7,926,086 


+4.2 
+29.3 

+5.7 
+37.3 
-14.2 
+30.2 
+  11,5 

-1.9 


1,491 

3,638 

34,938 

31,439 

198,436 

336,536 

58,229 

6,737 


1,450 

4,365 

26,029 

34,034 

115,772 

345,617 

52,363 

5,336 


-2.7 
+20.0 
-25.5 

+8.3 
-41.7 

+2.7 
-10.1 
-20.8 


12,965 

17,946 

73,301 

163,636 

186,526 

525,465 

59,873 

6,912 


13,614 

23,552 

88,410 

233,795 

214,639 

776,420 

79,340 

8,047 


+25.3 
+  15.9 


71,506 
599,938 


65,878 
519,088 


-7.9 
-13.5 


267,848 
778,776 


359,371 
1,078,446 


+  17.7 


671,444 


584,966 


-12.9 


1,046,624 


1,437,817 


+69.7 
+23.5 
+41.8 
+56.3 
+25.4 
+  13.8 
+23.5 

+24.9 

+45.6 
+  54.5 
-52.5 
+4.9 
+24.9 

+62.6 
-30.6 
+.1 
-22.2 
+54.5 
-33.5 
+  18.4 
+4.0 


64,528 

6,550 

6,852 

632 

28,271 

100,464 

19,925 

1,941 

9,953 

103,569 

3,757 

2,038 

33,880 

82,129 

54,737 

98,522 

5,367 

246,357 

4,284 

59,365 

115,841 


87,074 
6,115 
17,934 
864 
26,800 
82,849 
23,286 

1,934 

12,064 

69,702 

799 

2,278 

15.967 

110.816 

16.840 

81.041 

2.079 

246.348 

1.968 

70.314 

120.464 


+34.9 

-6.6 

+  161.7 

+36.7 
-5.2 

-17.5 

+  16.9 

-.4 

+21.2 
-32.7 
-78.7 
+  11 
-52.9 

+  34.9 
-69.2 
-17.7 
-61.3 
C) 
-54.1 
+  18.4 
+4.0 


285.017 
49.797 

174.825 
5.578 
56.960 
76.032 
99.029 

73.709 

41.906 

373,644 

40,915 

39,026 

893,436 

178,134 
816,061 
446,700 

34,267 
1,161,578 

11,300 


505,975 
63,451 

239,728 

8,843 

80,079 

118,079 

123,634 

92,559 

63,430 

667,392 

20,403 

40,780 

1,142.573 

312,477 

587,137 

464,614 

28,740 

1.928.375 

8,399 


+34.5 


+5.0 
+31.2 
+20.6 
+42.9 
+  15.1 
+47.8 
+32.5 
+  16.4 


+34.2 
+38.5 


+37.4 


+77.5 
+27.4 
+37.1 
+58.5 
+40.6 
+55.3 
+24.8 

+25.6 

+51.4 
+78.6 
-50.1 
+4.5 
+27.9 

+75.4 
-28.1 
+4.0 
-16.1 
+66.0 
-25.7 


'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. 
*Less  than  one-tenth  of  1  percent. 


168 


Table  28.  — Total  Arrest  Trends,  Sex,  1978-1987 
[7,282  agencies;  1987  estimated  population   177.340.000] 


Offense  charged 


Percent 
change 


Percenl 
change 


Percent 
change 


Percenl 
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.. 
Dnving  under  the  influence 

Liquor  laws 

Drunkenness 

Disorderly  conduct 

Vagrancy       

All  other  offenses  (except  traffic) 

Suspicion  (not  included  in  totals) 

Curfew  and  loitering  law  violations 
Runaways 


6,330,912 


7,808,892 


+23.3 


1,423,487 


1,225,421 


-13.9 


1,278,448 


1,697,728 


+32.8 


292,635 


355,113 


12.253 
21.289 
100.365 
168.756 
360.261 
586,143 
107,896 
11.985 


13,193 
27,600 
105,236 
232,170 
304,364 
771,428 
119,116 
11.489 


+  7.7 
+29.6 

+49 
+  37.6 
-15.5 
+31.6 
+  10.4 

^.1 


1,256 

3.493 

33.509 

27.124 

189.683 

265.505 

54.590 

6.181 


1.324 

4.276 

24.231 

28.807 

107.256 

250.476 

46.968 

4,767 


+  5.4 
+22.4 
-27.7 

+6.2 
-t3.5 

-5.7 
-140 
-22.9 


2.203 

295 

7.874 

26,319 

24,701 

275,858 

10,206 

1,664 


1.871 

317 

9.203 

35.659 

26.047 

350.609 

12.587 

1.894 


-15.1 

+7.5 
+  16.9 
+35.5 

+  5.4 
+27.1 
+23.3 
+  13.8 


235 

145 

1.429 

4,315 

8,753 

71,031 

3,639 

556 


126 

89 

1.798 

5.227 

8.516 

95,141 

5.395 

569 


302,663 
1.066,285 


378,199 
1.206.397 


+25.0 
+  13.1 


65.382 
515.959 


58.638 
409.467 


-10.3 
-20.6 


36.691 
312,429 


47,050 
391,137 


+28.2 
+25.2 


6.124 
83.979 


7,240 
109,621 


1.368.948 


1.584.596 


581.341 


468.105 


-19.5 


349,120 


438,187 


+25.5 


90.103 


116.861 


299,828 

39,070 

110,768 

4,615 

75,686 
161.263 
108.855 

23,937 

46,819 

410,062 

39,094 

36,958 

838,026 

219,572 

785.852 

451.759 

26.215 

1.172.077 

13,432 

51.844 

59.664 


503.138 

45.644 

146.341 

5.956 

94.514 
179.518 
135.647 

32,283 

69,289 

627,551 

18,326 

35,568 

1,022,697 

347,840 

547,862 

442,710 

27.348 

1,837.588 

8.835 

52.949 

51,527 


+67.8 
+  16.8 
+  32.1 
+29.1 

+249 
+  11.3 
+24.6 

+  34.9 

+48.0 
+53.0 
-53.1 
-3.8 
+22.0 

+  58.4 

-30.3 

-2.0 

+43 

+56.8 

-342 

+2.1 

-13.6 


53.778 

5.605 

5.532 

563 

26.742 
94,509 
18,270 

1,226 

8,641 

95,042 

1,659 

1,300 

18.971 

73.054 
29.069 
84,276 

4,484 
207.919 

3.848 
51.844 
59,662 


67,239 

4,076 

13,264 

552 

24,305 
75,508 
21,644 

611 

11,256 

60.663 

768 

1.393 

13.775 

80.785 
14.134 
65.674 

1.705 
195.488 

1.567 
52.949 
51.527 


+25.0 

-27.3 

+  139.8 

-2.0 

-9.1 
-20.1 
+  18.5 

-50.2 

+  30.3 
-36.2 
-53.7 
+7.2 
-27.4 

+  10.6 
-51.4 
-22.1 
-62.0 

-6.0 
-59.3 

+2.1 
-13.6 


49,717 

17.277 

70.909 

1.595 

9.545 
15.233 
10.099 

51.713 

5.040 

67.151 

5.578 

4.106 

89,290 

40,691 

84,946 

93.463 

13,419 

235,856 

2,152 

7,521 

56,179 


89.911 

23.922 

111.321 

3.751 

12.365 
21.410 
11,273 

62.210 

6.205 

109.543 

2.876 

7.490 

135.843 

75.453 

56.115 

102.945 

3.471 

337.135 

1,532 

17,365 

68.937 


+80.8 

+38.5 

+57.0 

+  135.2 

+29.5 
+40.6 
+  11.6 

+20.3 

+  23.1 
+63.1 
^8.4 
+82.4 
+52.1 

+85.4 
-33.9 
+  10.1 
-741 
+42.9 
-28.8 
+  130.9 
+22.7 


10.750 

945 

1,320 

69 

1,529 
5,955 
1,655 

715 

1.312 

8.527 

2.098 

738 

14.909 

9.075 

25.668 

14.246 

883 

38,438 

436 

7,521 

56,179 


19.835 

2,039 

4.670 

312 

2,495 
7.341 
1,642 

1,323 


9,039 

31 

885 

2.192 

30.031 
2.706 
15.367 

374 
50,860 

401 
17.365 
68,937 


+21.4 


^6.4 
-38.6 
+25.8 
+21.1 

-2.7 
+  33.9 
+48.3 

+2.3 


+  18.2 
+30.5 


+29.7 


+845 
+  115,8 
+253,8 
+352.2 

+63.2 
+23.3 


+85,0 

-38,4 
+6.0 
-98.5 
+  19.9 
-85.3 

+230.9 

-89.5 

+7.9 

-57.6 

+32.3 

-8.0 

+  130.9 

+22.7 


'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. 


169 


Table  29.  —  Total  Arrest  Trends,  1983-1987 

[8,692  agencies;  1987  estimated  population   183.805,000] 


Offense  charged 


TOTAL.. 


Murder  and  nonnegligent  manslaughter.. 

Forcible  rape 

Robbery 

Aggravated  assault 

Burglary 

Larceny-theft 

Motor  vehicle  theft 

Arson 


Violent  crime'  ... 
Property  cnme^ . 


Cnme  Index  total 


Other  assaults 

Forgery  and  counterfeiting 

Fraud  

Embezzlement 

Stolen  property;  buying,  receiving, 

possessing , 

Vandalism  

Weapons;  carrying,  possessing,  etc. 


Prostitution  and  commercialized  vice  ... 
Sex  offenses  (except  forcible  rape  and 

prostitution) 

Drug  abuse  violations 

Gambling 

Offenses  against  family  and  children.... 
Dnving  under  the  influence 


Liquor  laws 

Drunkenness 

Disorderly  conduct 

Vagrancy  

All  other  offenses  (except  traffic) 

Suspicion  (not  included  in  totals) 

Curfew  and  loitering  law  violations.. 
Runaways 


Total  all  ages 


9,177,847 


16,261 

26,881 

122.113 

230,467 

372,985 

1.053.370 

95,016 

14,677 


395,722 
1,536,048 


1,931,770 


113,596 


10,041,075 


15.745 

29.247 

117,489 

282,001 

350,235 

1,175,775 

138,297 

13,959 


444,482 
1,678,266 


2,122,748 


434,709 

628,316 

64.6.TO 

72,937 

233,502 

261,128 

6.751 

9,756 

97,350 

111,325 

190,342 

213,055 

144,863 

156,143 

97,736 


69,877 

80,686 

557,613 

767,808 

34,790 

21,924 

36.551 

40,886 

1,405.276 

1,286,587 

376,936 

453,875 

866,498 

672,097 

603,414 

558,888 

30.208 

31.522 

1,815,395 

2,244,531 

11,232 

11,143 

63,790 

74.250 

99,986 

124,877 

Percent 
change 


+9.4 


-3.2 

+8.8 

-3.8 

+22.4 

-6.1 

+  11.6 

+45.6 

-*.9 


+  12.3 
+9.3 


+9.9 


+44.5 
+  12.9 
+  11.8 
+44.5 

+  14.4 
+  11.9 

+7.8 

-14.0 

+  15.5 
+37.7 
-37.0 
+  11.9 
-8.4 

+23.1 

-22.4 

-7.4 

+4.3 

+23.6 

-.8 

+  16.4 

+24.9 


Numtier  of  persons  arrested 


Under  18  years  of  age 


1,557,605 


1,223 

4,016 

32,826 

30,352 

144.037 

342,031 

32,834 

5,673 


68,417 

524,575 


592,992 


72,450 

5,995 

20,337 

405 

23,691 
83,684 
20,744 

2,638 

10,913 

66,747 

1,023 

1.056 

21.702 

98,760 
25,419 
87,946 

2,405 
254,922 

2,600 
63.790 
99,986 


1,662,360 


1,495 

4,604 

26,520 

36.006 

122,990 

364.248 

54,923 

5,662 


68,625 
547,823 


616,448 


91,938 

6,495 

18,075 

711 

28,020 
87.982 
24,409 

2,031 

12,736 

72,149 

790 

2,350 

17,967 

121,221 

19,401 

82,413 

2,269 

255,828 

2,312 

74.250 

124,877 


Percent 
change 


+67 


+22.2 
+  14.6 
-19.2 
+  18,6 
-14.6 
+6.5 
+67.3 
-.2 


+  .3 
+4.4 


+4.0 


+26.9 

+8.3 

-11.1 

+75.6 

+  18.3 

+  5.1 

+  17.7 

-23.0 

+  16.7 

+8.1 

-22.8 

+  122.5 

-17.2 

+22.7 

-23.7 

-6.3 

-5.7 

+.4 

-11.1 

+  16.4 

+24,9 


18  years  of  age  and  over 


7,620,242 


15,038 

22,865 

89,287 

200.115 

228.948 

711,339 

62,182 

9.004 


327.305 
1,011.473 


1,338.778 


362,259 

58,635 

213.165 

6.346 

73.659 
106.658 
124.119 

110.958 

58.964 

490.866 

33.767 

35.495 

1,383.574 

278.176 

841.079 

515,468 

27,803 

1,560,473 

8.632 


8,378,715 


14,250 

24,643 

90.969 

245,995 

227,245 

811,527 

83,374 

8,297 


375,857 
1.130,443 


1,506,300 


536,378 

66,442 

243,053 

9,045 

83.305 
125.073 
131.734 

95.705 

67.950 

695.659 

21.134 

38.536 

1.268.620 

342.654 

652.696 

476.475 

29.253 

1,988.703 

8,831 


Percent 
change 


+  10.0 


-5,2 

+7.8 

+  1.9 

+22.9 

-.7 

+  14.1 

+34.1 

-7.9 


+  14.8 
+  11.8 


H2,5 


+48.1 
+  13.3 
+  14,0 
+42.5 

+  13.1 

+  17.3 

+61 

-137 

+  15.2 

+41.7 

-37.4 

+8.6 

-8.3 

+23.2 

-22.4 

-7.6 

+5.2 

+27.4 

+2,3 


'Violent  crimes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault, 
"Property  cnmes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson. 
^Includes  arson. 


170 


Table  30.  —  Total  Arrest  Trends,  Sex,  1983-1987 

,    [S.fi't:  agencies;   1987  estimaled  population   183,805,000] 


Offense  charged 


Percent 
change 


Percent 
change 


Percent 
change 


Percent 
change 


TOTAL 

Murder  and  nonnegligent  manslaughter 

Forcible  rape  

Robbery 

Aggravated  assatilt 

Burglary 

Larceny-theft  

Motor  vehicle  theft 

Arson 

Violent  crime' 

Property  crime'       

Crime  Index  total' 

Other  assaults 

Forgery  and  counterfeiting 

Fraud         

Embezzlement 

Stolen  property;  buying,  rweiving, 

possessing 

Vandalism 

Weapons;  carrying,  possessing,  etc 

Prostitution  and  commercialized  vice 
Sex  offenses  (except  forcible  rape  and 

prostitution) 

Drug  abuse  violations 

Gambling      

Offenses  against  family  and  children 
Dnving  under  the  influence 

Liquor  laws 

Drunkenness 

Disorderly  conduct 

Vagrancy  

All  other  offenses  (except  traffic) 
Suspicion  (not  included  in  totals) 

Curfew  and  loitering  law  violations 

Runaways 


7,647,1(M 


8.256,826 


+8.0 


1,227,278 


1,288,914 


+5.0 


1,530,743 


1,784,249 


+16.6 


330,327 


373,446 


14,108 

26,616 

113,114 

199,438 

347,221 

740,899 

86,461 

12,858 


13.766 
28,913 
107.972 
244,435 
321,920 
809,686 
124,988 
12.019 


-2.4 
+  8.6 
^.5 

+22.6 
-7.3 
+9.3 

+44.6 
-6.5 


1.102 

3,965 

30.666 

25.462 

134.318 

250,868 

29,287 

5,124 


1,365 

4,505 

24,700 

30,494 

113,773 

264,440 

49,176 

5,080 


+23.9 
+  13.6 
-19.5 
+  19.8 
-15.3 
+  5.4 
+67.9 
-.9 


2.153 

265 

8,999 

31.029 

25.764 

312.471 

8.555 

1.819 


1.979 

334 

9.517 

37.566 

28.315 

366,089 

13.309 

1.940 


-8.1 
+26.0 

+5.8 
+21.1 

+9.9 
+  17.2 
+55.6 

+6.7 


121 

51 

2.160 

4.890 

9,719 

91,163 

3,547 

549 


130 

99 

1.820 

5,512 

9.217 

99,808 

5,747 

582 


353,276 
1.187.439 


395.086 
1.268.613 


+  11.8 
+6.8 


61.195 
419.597 


61,064 
432.469 


-.2 
+3.1 


42.445 
348.609 


49.396 
409.653 


+  16.4 
+  17.5 


7,222 
104.978 


7,561 
115,354 


1,540,715 


1.663,699 


+8.0 


480,792 


493.533 


+2.7 


391.055 


459.049 


+  17.4 


112,200 


122,915 


370,836 

42,838 

140.116 

4,515 

86.327 
172,019 
133,690 

33,872 

54,591 

479,369 

30,933 

32,248 

1.245,517 

315,433 

790,561 

506,872 

27,180 

1,538.238 

9,580 

48,947 

42,087 


533,381 

47.815 

147.853 

6.010 

98.435 
190,428 
144,279 

34,565 

74,183 

652,919 

18,977 

33,340 

1,136,204 

381,675 

609,948 

453.373 

27.945 

1.892.872 

9,542 

55,728 

53,195 


+43.8 

+  11.6 

+5.5 

+  33.1 

+  140 

+  10.7 

+7.9 

+  2.0 

+  14.9 

+  36.2 

-38.7 

+  3.4 


+21.0 
-22.9 
-106 
+2.8 
+23.1 
-.4 
+  13.9 
+26.4 


55,783 

4,047 

15,844 

288 

21,457 
75,675 
19,449 

821 

10,233 

55,959 

971 

575 

18,874 

73,515 
21,397 
72,994 

2,045 
203.412 

2.073 
48.947 
42,087 


70,995 

4,332 

13.378 

439 

25.437 
80,159 
22,658 

669 

11,904 

62,740 

759 

1,448 

15,505 

88,547 
16,277 
66,782 

1,874 
202,543 

1,875 
55,728 
53.195 


+25.0 

+7.0 

-15.6 

+52.4 

+  18.5 

+4.6 

+  15.5 

-18.5 

+  16.3 
+  12.1 
-21.8 
+  114.2 
-17.8 

+204 

-23.9 

-8.5 

-8.4 

-.4 

-9.5 

+  13.9 

+26.4 


63,873 

21,792 

93,385 

2,235 

11,023 
18,323 
11,173 

79,724 

5,286 

78,244 

3,857 

4,303 

159,659 

51,503 

75,837 

96.542 

3,028 

277,157 

1.652 

14,843 

57,899 


94,935 

25.122 

113.275 

3.746 

12.890 
22.627 
11.854 

63.171 

5.503 

114.889 

2.947 

7,546 

150.383 

82.199 

62.149 

105.515 

3.577 

351,539 

1,501 

18,522 

71,581 


+48.5 
+  15.3 

+  21.3 

+67.5 

+  15.9 

+23.5 

+5.2 

-208 

+23.0 
+45.8 
-23.6 
+  75.4 
-5.8 

+  33.7 
-18.0 

+9.3 
+  18.1 
+26.9 

-3.1 
+24.8 
+23.8 


15,667 

1,948 

4,493 

117 

2,224 
7,009 
1,295 

1,817 

680 

10,788 

52 

380 

2,828 

25,244 
4.022 
14,952 

359 
51,510 

527 
14,843 
57,899 


20,943 

2,163 

4,697 

272 

2,583 
7,813 
1,751 

1,352 

832 

9,409 

31 

902 
2,461 

32,674 
3,124 
15,531 

395 
53,285 

437 
18,522 
71.581 


+13.1 


+74 
+94.1 
-15.7 
+  12.7 

-5.2 

+9.5 
+62.0 

+6.0 


+4.7 
+9.9 


+9.5 


+33.7 

+  11.0 

+4.5 

+  132.5 

+  15.1 

+  11.5 
+35.2 

-25.0 

+22.4 
-12.8 
^tO.4 
+  137.4 
-13.0 

+29.4 
-22.3 

+4.5 
+  10.0 

+3.4 
-17.1 
+24.8 
+23.8 


'Violent  crimes  are  offenses  of  murder,  forcible  rape,  roblsery,  and  aggravated  assault. 
^Property  crimes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson. 
^Includes  arson. 


171 


Table  31.  — Total  Arrest  Trends,  1986-1987 

[9,269  agencies;   1987  estimated  population   188,018,000] 


Number  of  persons  arrested 

Offense  charged 

Total  all  ages                      | 

Under  15  years  of  age              1 

Under  18  years  o 

age 

18  years  of  age  and  over 

1986 

1987 

Percent 
change 

1986 

1987 

Percent 
change 

1986 

1987 

Percent 
change 

1986 

1987 

Percent 
change 

TOTAL    

9,941,820 

10,160,965 

+2.2 

518,743 

525,482 

+  1.3 

1,683.494 

1,672,701 

-.6 

8,258,326 

8,488,264 

+2.8 

Murder  and  nonnegligent 
manslaughter 

16.036 

29.864 

124.085 

276.319 

359.669 

1.146.355 

127.422 

14.414 

15,903 

29,334 

119,024 

286,696 

354,827 

1,178,934 

140,930 

14.058 

-.8 
-1.8 
^.1 
+  3.8 
-1.3 
+2.8 
+  106 
-2.5 

157 

1,521 

6,960 

10,309 

45.608 

151,587 

11,699 

3,499 

191 

1,600 

6.954 

10,767 

45,002 

153,668 

13,469 

3,651 

+21.7 
+5.2 
-.1 
+4.4 
-1.3 
+  1.4 

+  15.1 
+4.3 

1.443 

4.592 

28.794 

35.710 

129.716 

366.166 

49,723 

5,740 

1.525 

4,634 

26,793 

36,830 

124.598 

365.981 

56.087 

5.777 

+  5.8 

-1.2 

-5.9 

+3.1 

-3.9 

-.1 

+  12.8 

+.6 

14,593 

25,172 

95,291 

240,509 

229,953 

780,189 

77,699 

8,674 

14,377 

24,700 

92,231 

249,865 

230,229 

812,953 

84,843 

8,281 

-1.5 
-1.9 

Robbery                        

-3.2 

Aggravated  assault 

+3.8 
+.1 

+4.2 

Motor  vehicle  theft 

+9.2 

Arson 

^.5 

446.304 
1.647.860 

450.957 
1.688.749 

+  10 

+  2.5 

18,947 
212,393 

19,512 
215,790 

+  3.0 
+  16 

70,639 

551.345 

69,783 
552,443 

-1.2 

+  .2 

375,555 
1,096,515 

381,174 
1,136,306 

+  1.5 

+3.5 

Crime  Index  total^ 

2,094,164 

2.139,706 

+2.2 

231,340 

235,302 

+  1.7 

621,984 

622,225 

{') 

1,472,180 

1,517,480 

+  3.1 

Other  assaults 

594,537 

70,701 

264,677 

9,630 

106,702 
214,296 
160,963 

103,008 

80,356 

690,052 

27,038 

42,112 

1,343.716 

454.053 

722.701 

575.029 

32.236 

2.158.205 

11,347 

69,106 

128,538 

629,375 

73,615 

262,770 

9,924 

112,702 
212,246 
156,425 

97,947 

80,805 

777,285 

22,047 

42,766 

1,318,901 

469,624 

674,306 

554,299 

31,954 

2,294,196 

11,096 

71,753 

128,319 

+  5.9 

+4.1 

-.7 

+  3.1 

+  5.6 
-1.0 
-2.8 

^9 

+  .6 

+  12.6 

-18,5 

+  1.6 

-1.8 

+3.4 
-6.7 
-3.6 

-.9 
+6.3 
-2.2 
+  3.8 

-.2 

31,313 

1,026 

6,689 

47 

7,252 

43,486 

6,502 

243 

5,944 
9,259 

112 
1,195 

400 

9,414 

2,796 

22,659 

507 

67,757 

812 

18,400 

52,402 

33,330 

974 

7,963 

58 

7,439 

42,613 

6,156 

181 

5.952 

9.309 

108 

789 

344 

8.484 

2,168 

22,409 

530 

69,062 

755 

19,605 

52,705 

+6.4 

-5.1 

+  19.0 

+23.4 

+2.6 
-2.0 
-5.3 

-255 

+.1 

+.5 

-3.6 

-34.0 

-14.0 

-9.9 
-22.5 
-1.1 
+4.5 
+  1.9 
-7.0 
+6.5 
+.6 

88,471 

6.551 

17.427 

644 

27,028 
91,577 
25,498 

2,307 

13,337 

68,465 

715 

2,391 

21,006 

121,810 

24,751 

84,123 

2,420 

255,345 

2,424 

59,105 

128,538 

92,469 

6,658 

18,133 

720 

28,219 
88,201 
24.160 

2,045 

12.713 

72.742 

757 

2.385 

18.443 

121.941 

19.705 

80,368 

2,357 

258,377 

2,381 

71,753 

128,319 

+4.5 

+  1.6 

+4.1 

+  11.8 

+4.4 
-3.7 
-5.2 

-11.4 

-4.7 

+6.2 

+  5.9 

-.3 

-12.2 

+  .1 
-20.4 
^.5 
-2.2 
-2.6 
-1.8 
+3.8 
-.2 

506,066 

64,150 

247,250 

8,986 

79,674 
122,719 
135,465 

100,701 

57.019 

621.587 

26.323 

39.721 

1.322.710 

332.243 

697.950 

490.906 

29.816 

1.892.860 

8.923 

536,905 

56,957 

244,637 

9,204 

84,483 
124,045 
132,265 

95,902 

68,092 

704,543 

21,290 

40,381 

1,300,458 

347,683 

554,601 

473,931 

29,587 

2,035,819 

8,715 

+6.1 

+4.4 

-1.1 

+2.4 

Stolen  property;  buying,  receiving, 

possessing        

+6.0 

Vandahsm 

Weapons;  carrying,  possessing,  etc. 

Prostitution  and  commercialized 

vice 

and  prostitution) 

+  1.1 
-2.4 

^.8 

+  1.5 
+  13.3 

GambUng 

Offenses  against  family  and  children 
Driving  under  the  influence 

Liquor  laws 

Drunkenness 

Disorderly  conduct    

-19.1 
+  1.7 
-1.7 

+4.6 
-5.2 
-3.5 

Vagrancy 

All  other  offenses  (except  traffic)    .  . 

Suspicion  (not  included  in  totals) 

Curfew  and  loitering  law  violations., 

-.8 
+7.6 
-2.3 

'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. 


172 


Table  32.  —  Total  Arrest  Trends,  Sex,  1986-1987 

.  [''.269  agencies;   1987  eslimaled  populalion   188,018,000] 


Offense  charged 


Percent 
change 


Percent 
change 


Percent 
change 


Percent 
change 


TOTAL.. 


Murder  and  nonnegligent 

manslaughter 

Forcible  rape 

Robbery 

Aggravated  assault 

Burglary 

Larceny-theft 

Motor  vehicle  theft 

Arson 


Violent  crime  ... 
Property  crime^ . 


Crime  Index  total 


Other  assaults 

Forgery  and  counterfeiting 

Fraud  

Embezzlement 

Stolen  property;  buying,  receiving, 

possessing 

Vandalism 

Weapons;  carrying,  possessing,  etc. 

Prostitution  and  commercialized 


Sex  ofTenses  (except  forcible  rape  and 

prostitution) 

Drug  abuse  violations 

Gambling 

Oflenses  against  family  and  children.... 
Driving  under  the  influence 


Liquor  laws 

Drunkenness 

Disorderly  conduct 

Vagrancy 

All  other  offenses  (except  traffic) 

Suspicion  (not  included  in  totals) 

CuiVew  and  loitering  law  violations  . 
Runaways  


8,218,205 


8,363,972 


+  1.8 


1,312,281 


1,297,470 


-1.1 


1,723,615 


1,796,993 


+4.3 


371,213 


375,231 


14,079 
29,531 
1 14,452 
239,816 
331,190 
799,187 
115,394 
12,422 


13,927 
28,981 
109,392 
248,537 
326.190 
812,537 
127,333 
12,084 


-1.1 
-1.9 
-4.4 
+3.6 
-1.5 
+  1.7 
+  10.3 
-2,7 


1,343 

4,599 

26,820 

30.198 

120.013 

269,302 

44,464 

5,166 


1,393 

4,527 

24,950 

31,145 

115,300 

265,727 

50,194 

5,184 


+  3.7 
-1.6 
-7.0 
+  3.1 
-3.9 
-1.3 
+  12.9 
+  .3 


1,957 

333 

9,633 

36,503 

28.479 

347,168 

12,028 

1,992 


1.976 

353 

9.632 

38,159 

28,637 

366,397 

13,597 

1,974 


+  1.0 

+6.0 

(') 

+4.5 

+.6 

+5.5 

+  13.0 

-.9 


100 

93 

1,974 

5,512 

9.703 

96,864 

5,259 

574 


133 

107 

1,843 

5,685 

9,298 

100,254 

5,893 

593 


397,878 
1,258,193 


400,837 
1,278,144 


+  .7 
+  1.6 


62,960 
438,945 


62,015 

436,405 


48,426 
389,667 


50,120 
410,605 


+3.5 
+  5.4 


7,679 
112,400 


7,768 
116,038 


1.656,071 


1,678,981 


+  1.4 


501,905 


498,420 


438,093 


460,725 


+5.2 


120,079 


123,806 


505,116 

46,704 

150,147 

6,087 

94.526 
192,009 
148,951 


36.126 

73,816 

591,370 

22,620 

35,350 

1,188,837 

378,288 

657,997 

472,112 

28.408 

1,827,893 

9,692 

51,510 

54.267 


534,427 

48,291 

148,852 

6,093 

99,620 
189,811 
144,509 


34,468 

74,393 

661,139 

19,075 

35,090 

1,164,623 

386,715 

612,151 

449,881 

28,307 

1,938,698 

9,514 

53,994 

54,854 


+  5.8 

+3.4 

-.9 

+  .1 

+5.4 
-1.1 
-3.0 


-4.6 


+  11.8 

-15.7 

-.7 

-2.0 

+2.2 
-7.0 
-4.7 
-4 
+6.1 
-1.8 
+4.8 
+  1.1 


68,577 

4,410 

13,168 

384 

24,568 
83.399 
23,856 


803 

12,403 

58,887 

676 

1,488 

18.215 

90,543 
20.944 
68,853 

1.995 
211.430 

1,914 
51,510 
54.267 


71,482 

4,412 

13,444 

448 

25,631 
80,385 
22,460 


670 

11,889 

63,317 

727 

1,464 

15.928 

89.240 
16.549 
65,326 

1,950 
204,880 

1,931 
53,994 
54,854 


+4.2 

(*) 

+2.1 

+  16.7 

+4.3 
-3.6 
-5.9 


-16.6 

^.1 
+7.5 
+7.5 
-1.6 
-12.6 

-1.4 
-21.0 

-5.1 
-2.3 
-3.1 
+.9 
+4.8 
+  1.1 


89,421 

23,997 

114,530 

3,543 

12,176 
22,287 
12,012 


66,882 

6,540 

98,682 

4,418 

6,762 

154,879 

75,765 

64,704 

102,917 

3,828 

330,312 

1,655 

17,596 

74,271 


94,948 

25,324 

113.918 

3.831 

13,082 
22.435 
11,916 


63,479 

6,412 

116,146 

2,972 

7,676 

154,278 

82,909 

62,155 

104,418 

3,647 

355,498 

1,582 

17,759 

73,465 


+6.2 

+5.5 

-.5 

+8.1 

+7.4 
+  .7 


-5.1 

-2.0 

+  17.7 

-32.7 

+  13.5 

-.4 

+9.4 
-3.9 
+  1.5 
-4.7 
+7.6 
^.4 
+.9 
-1.1 


19,894 

2,141 

4,259 

260 

2.460 
8.178 
1,642 


1,504 

934 

9,578 

39 

903 
2,791 

31,267 
3,807 
15,270 

425 
53,915 

510 
17,596 
74,271 


20,987 
2,246 
4,689 

272 

2,588 
7,816 
1,700 


1,375 

824 

9,425 

30 

921 
2,515 

32,701 
3,156 
15,042 

417 
53.497 

450 
17,759 
73,465 


+1.1 


+33.0 
+  15.1 
-6.6 
+3.1 
-4.2 
+3.5 
+  12.1 
+3.3 


+  1.2 
+3.2 


+3.1 


+  5.5 

+4.9 

+  10.1 

+4.6 

+5.2 
-4.4 
+3.5 


-8.6 

-11.8 
-1.6 

-23.1 
+2.0 
-9.9 

+4.6 

-17.1 

-1.5 

-1.9 

-.8 

-11.8 

+.9 

-1.1 


'Violent  crimes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault. 
^Property  crimes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson, 
'includes  arson. 
*Less  than  one-tenth  of  one  percent. 


173 


Table  33. —  Total  Arrests,  Distribution  by  Age,  1987 

[10.616  agencies;   1987  estimated  population  202,337,000] 


ToUl 
all 
ages 

Ages 

under 

15 

Ages 

under 

18 

Ages 
18  and 
over 

Age 

Offense  charged 

Under 
10 

10-12 

1.VI4 

15 

16 

17 

18 

19 

20 

21 

TOTAL 

10,795,869 
100.0 

557,278 
5,2 

1,781,240 
16,5 

9,014,629 
83.5 

47,725 
.4 

135,773 
1.3 

373,780 
3.5 

320,871 
3.0 

422,392 
3.9 

480.699 
4.5 

504,876 

4.7 

500,482 
4.6 

476,617 
4.4 

476,222 

4.4 

Murder  and  nonnegligent 

16,714 

31,276 

123,306 

301,734 

374.963 

1,256.552 

146,753 

15,169 

203 

1,660 

7.188 

11.284 

47.601 

162.255 

14,056 

3.851 

1,592 

4,909 

27,682 

38,646 

132,162 

388,788 

58,573 

6,139 

15,122 

26.367 

95,624 

263,088 

242,801 

867.764 

88.180 

9.030 

14 

107 

299 

901 

4,342 

15.418 

238 

1.078 

25 

362 

1.439 

2.809 

12.312 

47.973 

1.706 

1.152 

164 

1.191 

5.450 

7.574 

30.947 

98.864 

12.112 

1.621 

216 

921 

5,255 

6,840 

24,686 

67,449 

13,767 

882 

451 

1.108 

7.201 

9.510 

29,508 

80.347 

16,167 

728 

722 

1,220 

8,038 

11,012 

30,367 

78,737 

14,583 

678 

868 

1.231 

7.945 

10.786 

27.496 

70.156 

11.006 

572 

875 

1,211 

7,345 

11,135 

22,374 

58,682 

9,057 

533 

828 

1.311 

6,732 

11,559 

18.918 

49,724 

7,100 

459 

812 

1.318 

6,747 

12,641 

16.823 

45.446 

Motor  vehicle  theft        

6.303 

440 

Violent  crime' 

Percent  distribution' 

473,030 

1 00-0 

1,793,437 

100.0 

20.335 

4.3 

227,763 

12.7 

72.829 

15.4 

585.662 

32,7 

400.201 

84,6 

1.207.775 

67,3 

1.321 

,3 

21.076 

1,2 

4.635 

1,0 

63.143 

3,5 

14.379 

3,0 

143.544 

8,0 

13.232 

2,8 

105,784 

6.0 

18,270 

3.9 

126,750 

7,1 

20,992 

4.4 

124.365 

6.9 

20.830 

4,4 

109,230 

6,1 

20,566 

4,3 

90.646 

5,1 

20,430 

4,3 

76,201 

4.2 

21.518 

4,5 

69.012 

3,8 

2.266,467 
100.0 

248.098 
10.9 

658.491 
29.1 

1.607.976 
709 

22.397 
1,0 

67,778 
3,0 

157.923 
7,0 

120,016 
5,3 

145,020 
6,4 

145.357 
6,4 

130,060 

5,7 

111.212 
4,9 

96,631 
4,3 

90.530 

Percent  distribution' 

4,0 

Other  assaults 

671,938 
78,817 

280,809 
10,639 

119,048 
230,088 

165,650 

100,950 

85.627 

811,078 

22,762 

48,002 
1,410,397 

505,021 

700,662 

599,622 

32,518 

2,430,913 
11,670 

77,556 
135,635 

35.113 

1.026 

7.995 

137 

7.858 
45.853 

6.578 

188 

6.391 

9.708 

124 

829 
365 

9.261 

2.231 

24.646 

539 

73.278 
814 

20.827 
55.419 

97.880 

7.097 

18,389 

908 

29,850 
94.949 

25,653 

2,135 

13,544 

76,037 

840 

2,567 
19,717 

132,459 

20,354 

88,497 

2,452 

273,671 
2,559 

77,556 
135,635 

574.058 

71.720 

262.420 

9.731 

89.198 
135.139 

139.997 

98.815 

72.083 

735.041 

21.922 

45,435 
1.390,680 

372,562 

680.308 

511.125 

30,066 

2,157,242 
9,111 

2,962 

37 

212 

10 

333 
7.433 

282 

11 

626 
259 

2 

183 
100 

294 

109 

2.019 

31 

7.312 
83 

765 
2.265 

9,415 

179 

1,869 

45 

1,484 
14,238 

1,243 

12 

1,752 

870 

15 

158 
38 

642 

202 

6,028 

86 

16,204 
188 

3,636 
9.691 

22,736 

810 

5,914 

82 

6,041 

24,182 

5,053 

165 

4,013 

8,579 

107 

488 

227 

8,325 

1,920 

16,599 

422 

49,762 
543 

16,426 
43,463 

17,625 

1,011 

5,743 

78 

5,678 
15.176 

4,846 

288 

2,378 

12,700 

149 

538 
769 

17.254 

3.063 

15,064 

465 

45.267 
561 

16,878 
35.324 

21,324 
2,014 
1.613 

247 

7.722 
17,054 

6,443 

557 

2,392 

22,297 

232 

658 
5,121 

40,605 

5,541 

21,721 

668 

67,616 
626 

21.750 
31.171 

23.818 

3,046 

3,038 

446 

8,592 
16,866 

7,786 

1.102 

2.383 

31.332 

335 

542 
13.462 

65.339 

9.519 

27.066 

780 

87.510 
558 

18.101 
13.721 

22,907 
3,825 
5,546 

477 

8,640 
13,094 

8,858 

2,751 

2,488 

39,816 

309 

1,287 
30,556 

79,009 

16,978 

29,690 

1,367 

106,743 

475 

24,354 

4,273 

8,265 

564 

7,854 
10,817 

8,456 

4,322 

2,598 
42,399 

324 

1,279 
39,802 

68,059 

19,067 

29,930 

1,421 

114,972 
514 

25,396 

4,142 

9,922 

603 

6,351 
9,178 

7,803 

4,766 

2,611 

42,012 

357 

1,470 
47,750 

49,939 

20,439 

29,928 

1,139 

115,741 
439 

28.482 

Forgery  and  counterfeiting 

4,220 
11,852 

Embezzlement 

Stolen  property;  buying,  receiving. 

550 
5,958 

Vandalism  

8,803 

Weapons;  carrying,  possessing, 

etc 

Prostitution  and  commercialized 

vice 

and  prostitution) 

Drug  abuse  violations           

7,983 

6,146 

2,770 
44,068 

Gambling      ...           

427 

Offenses  against  family  and 
children 

1,843 

61,313 

Liquor  laws 

19,579 
26,564 

Disorderly  conduct 

Vagrancy          

32,218 
1,178 

All  other  offenses  (except 
traffic)                

121,154 

Suspicion 

484 

Curfew  and  loitering  law 
violations      

See  footnotes  at  end  of  table. 


174 


Table  33. —  Total  Arrests,  Distribution  by  Age,  1987  —  Continued 


offense  charged 


Age 


65  and 
over 


TOTAL 

Percent  distribution'  . 


Murder  and  nonnegligent 

manslaughter 

Forcible  rape 

Robbery 

Aggravated  assault 

Burglary   

Larceny-theft 

Motor  vehicle  theft 

Arson 


Violent  crime^  

Percent  distribution' 

Property  crime' 

Percent  distribution' 


Crime  Index  total*... 
Percent  distribution' . 


Other  assaults        

Forgery  and  counterfeiting 

Fraud  

Embezzlement    

Stolen  property;  buying,  receiving, 

possessing 

Vandalism 

Weapons;  carrying,  possessing, 

etc 


Prostitution  and  commercialized  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 


470,849 
4.4 


827 

1,337 

5,346 

12,832 

15,352 

42.761 

5.532 

449 


21,342 
4.5 

54,194 
3.6 


85.536 
3.8 


29.718 

4,069 

12,397 

510 

5,234 
8.108 

7,733 

5,980 

2,882 

44.701 

500 

1.963 
55,045 

15.591 

26.743 

31.534 

1.163 

119.859 
483 


468.471 
4.3 


459,475 
4.3 


1,977,845 
18.3 


1,415,921 
13.1 


904,908 
8.4 


528,330 
4.9 


316,171 
2.9 


202,147 
1.9 


137,410 
1.3 


87.233 


758 

1,355 

6,025 

13.121 

14.244 

40,954 

5,138 

493 


750 

1,377 

5,838 

13.252 

13,055 

39.255 

4.522 

431 


3.075 

6.248 

23.224 

60.707 

52.009 

171.125 

17.577 

1.765 


2.288 

4.442 

13.733 

45.705 

32.502 

132.298 

10.843 

1,418 


1,558 

2,860 

5,799 

29,013 

15,318 

85,619 

5,625 

955 


958 

1.592 

2.705 

17.381 

7.135 

46.443 

2.568 

596 


555 

875 

1,139 

10,045 

3,255 

27,297 

1,249 

352 


352 

459 

524 

6,071 

1,531 

18,669 

679 

238 


235 
335 
289 
3,858 
807 
14,195 
319 
163 


21.250 
4.5 

60,829 
3.4 


21,227 
4.5 

57.374 
3.2 


93.254 

19.7 

242.578 

13.5 


55,158 

14.0 

177,151 

9.9 


40,230 

8.5 

108,527 

5.1 


22.535 
4.8 

56.843 
3.2 


12.615 
2.7 

32.163 
1.8 


7.416 

1.6 

21.117 

1.2 


4,719 

l.O 

15,484 

.9 


82,089 
3.6 


78,601 
3.5 


335,832 
14.8 


243,329 
10.7 


148,757 
6.6 


79,479 
3.5 


44,778 
2.0 


28,533 
1.3 


20.203 
,9 


30.557 

4.227 

13,586 

511 

4,929 
7,748 

7,579 

7,118 

3.037 

44,750 

502 

2,039 
68,667 

13.604 

27.406 

29,659 

1.133 

118,765 

464 


30,820 

3,890 

13,492 

484 

4,611 

7,379 

7,312 

5,674 

2,969 

44,162 

553 

2,141 
69,629 

11,757 

27,613 

28,780 

1,085 

117.038 
485 


140,258 

17.043 

60,690 

2,206 

18,514 
29,508 

29,632 

28.747 

14.620 

188.851 

3,015 

10,415 
314,528 

40,002 

132,577 

113,576 

5,735 

489,981 
2,115 


98,996 

12,227 

49,091 

1,488 

12,059 
18,422 

20,952 

15,252 

12,181 

123,586 

2,945 

9,146 
234,053 

25.552 

111.817 

74.374 

5.006 

342,731 
1,684 


60,822 
7,102 

34,607 
1,025 

7,146 
10,339 

13,305 

7,502 

8,779 

65,856 

2,751 

5,534 
161,444 

17.034 

84.597 

45.475 

4.117 

215.747 
969 


34,847 

3,430 

20,343 

611 

3,609 
5,334 

8,102 

3,387 

5,001 

28,996 

2,495 

3,709 
108,374 

11,024 

58,418 

26,105 

2,505 


1.113 
445 


19.524 

1.529 

10.520 

321 

1.935 
2.685 

4.801 

1,713 

3.588 
12.928 
2,201 

1.776 
70.626 

7,719 
42,058 
15.353 

1,571 

70,197 
246 


11,458 

870 

5,476 

173 

1,054 
1,611 

2,901 

957 

2,358 
5,080 
1,898 

877 
47,575 

5,351 

31,939 

9,579 

1,058 

42,145 
142 


6,922 
425 

3,148 
107 

515 
912 

1,964 

661 

1,993 
3.132 
1.352 

482 
32,847 

3,795 

24,420 

6,429 

775 

27,146 
71 


137 

211 

109 

2.410 

420 

10.357 

117 

92 


2.867 

.6 

10.985 

.5 


13.853 
.5 


4.379 

227 

1.815 

59 

381 
538 

1.255 

418 

1.405 
1.513 
1.051 

229 
20.774 

2.400 

15.914 

4,245 

440 

16,292 
43 


87,672 
.8 


234 

194 

123 

2,572 

450 

14,772 

145 

63 


3,123 

.7 

15,430 

.9 


18,553 


4,518 

221 

1,670 

42 

296 
662 

1,351 

411 

1.592 
1.191 
1.232 

245 
17,696 

2.037 

13.658 

4.148 

372 

17,616 

51 


'Because  of  rounding,  the  percentages  may  not  add  lo  total. 

^Violent  crimes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault. 
'Property  crimes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson. 
^Includes  arson. 


175 


Table  34.  —  Male  Arrests,  Distribution  by  Age,  1987 

[10,616  agencies;   1987  estimated  population  202.337.000] 


Offense  charged 


Total 
all 
ages 


Ages 

under 

15 


Ages 

under 

18 


Ages 
18  and 
over 


Age 


Under 
10 


TOTAL 

Percent  distribution' 

Murder  and  nonnegligent 

manslaughter         

Forcible  rape  

Robbery 

Aggravated  assault 

Burglary 

Larceny-theft 

Motor  vehicle  theft 

Arson     

Violent  crime" 
Percent  distribution'. 

Property  crime^ 

Percent  distribution'. 


Crime  Index  total' 
Percent  distnbution' 


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  loitenng  law 

violations  

Runaways 


8,881,528 
100.0 


14,629 
30.908 
113.342 
261.548 
345.169 
865.432 
132.542 
13.088 


420.427 

100.0 

1.356,231 

100.0 


1.776.658 
lOO.O 


570.689 

51.732 

158,573 

6,582 

105.203 
205.754 

153,001 


35,525 

78,911 

689,853 

19.693 

39,663 
1.245.446 

414.869 
635.961 

487.757 

28,757 

2.050,671 

9.976 

58.193 
58.061 


420,287 

4.7 


1,380,748 
15.5 


7,500,780 
84.5 


40,085 

.5 


108,021 
1.2 


272,181 
3.1 


238,219 

2.7 


328,678 

3.7 


393,564 
4.4 


424.934 
4,8 


421,666 

4.7 


400,266 
4.5 


171 

1.610 

6.577 

9.265 

43.253 

119,551 

12.089 

3,454 


1,454 

4,799 

25,779 

32.640 

122,391 

282,329 

52.387 

5,515 


13,175 

26,109 

87,563 

228,908 

222,778 

583,103 

80,155 

7,573 


13 

104 

285 

804 

3,884 

12,678 

218 

1,009 


18 

356 

1.350 

2.414 

11.165 

36.309 

1.500 

1.036 


140 

1.150 

4.942 

6.047 

28.204 

70.564 

10,371 

1.409 


198 

896 

4.836 

5.597 

22.810 

48,278 

12,202 

777 


408 

1,090 

6.747 

8,137 

27,689 

57.385 

14.686 

672 


677 

1.203 

7,619 

9.641 

28.639 

57.115 

13.410 

612 


819 

1.216 

7.510 

9.541 

25.958 

50848 

10240 

520 


797 

1.195 

6.917 

9.807 

21.053 

41.548 

8.441 

476 


748 

1.300 

6,262 

10.030 

17.713 

34.569 

6.566 

415 


17,623 

4.2 

178,347 

132 


64,672 

154 

462,622 

34.1 


355.755 
84,6 

893.609 
65.9 


1,206 

,3 

17,789 

13 


4,138 

1.0 

50.010 

3.7 


12.279 

2.9 

110.548 

8.2 


11.527 
2.7 

84.067 
6.2 


16,382 

3.9 

100,432 

7.4 


19.140 
4.6 

99.776 
7.4 


19.086 
4.5 

87.566 
6.5 


18.716 
4.5 

71,518 
5.3 


18.340 
4.4 

59.263 
4.4 


195.970 
11.0 


527.294 
29  7 


1.249,364 
703 


18,995 
1.1 


54,148 
3.0 


122.827 
6.9 


95,594 
5.4 


116,814 
6.6 


118,916 
6.7 


106.652 
6.0 


90,234 
5.1 


77,603 
4.4 


26.376 

649 

5.948 

105 

7.098 
41.904 

5.968 


58 

5.902 

7.904 

117 

457 
285 

5.302 

1.520 

19.204 

430 

55.598 

632 

15.066 
23.794 


75.648 

4.729 

13.606 

578 

27.084 
86.537 

23,818 


12.645 

66.081 

796 

1.590 
17.032 

96,656 
17,083 
71.739 

2.013 
216,815 

2.062 

58.193 
58.061 


495.041 

47.003 

144,967 

6.004 

78.119 
119.217 

129.183 


34,837 

66,266 

623.772 
18.897 

38.073 
1.228.414 

318.213 

618.878 

416.018 

26.744 

1.833.856 

7.914 


2,535 
28 
145 


302 
6.913 


264 


551 

217 

2 

96 

92 

242 
95 

1,669 
29 

5,609 
61 

647 
1,579 


7.423 

112 

1.388 

34 

1.361 
13.135 

1,143 


1,593 

694 

13 

96 

29 

364 
144 

4.827 
75 

13.158 
168 

2.819 
5,291 


16,418 

509 

4,415 

63 

5,435 
21,856 

4.561 


46 

3,758 

6,993 

102 

265 
164 

4,696 

1,281 

12.708 

326 

36.831 

403 

11.600 
16.924 


13,175 

656 

4,339 

49 

5,103 
13,841 

4.455 


75 

2.245 

10.951 

135 

309 
624 

11,019 
2,381 
11,756 

383 
34,186 

436 

12.278 
14.229 


16.749 

1,318 

1.185 

156 

7,025 
15,541 

6,040 


187 

2,271 

19,475 

220 

423 
4.344 

29,395 
4,712 
17,826 

552 
54,153 

512 

16,456 
13,324 


19.348 

2.106 

2,134 

268 

7.858 
15.251 

7.355 


368 

2,227 

27,751 

324 

401 
11.779 

50.940 

8,470 

22,953 

648 
72,878 

482 

14,393 
6,714 


19.236 

2.564 

3,456 

256 

7.905 
12.057 

8.391 


876 

2,275 

35,231 

294 

1,055 
26,958 

64,296 
15,504 
25.258 
1.173 
91,071 
426 


20,573 

2,871 

4,870 

291 

7,161 
9,830 

7.976 


1.239 

2,331 

37,185 

296 

1,040 
35.326 

57.271 
17,504 
25,346 
1,199 
98,674 
449 


21,511 

2,748 

5,572 

318 

5,732 
8.275 

7.322 


1,440 

2,338 
36,401 

322 

1.194 
42,418 

42,982 
18,747 
24,788 

952 
99,223 

380 


398.502 
4.5 


724 

1.302 

6,197 

10,992 

15.622 

31.193 

5.827 

390 


19.215 
4.6 

53.032 
3.9 


72,247 
4.1 


24,259 

2,757 

6,685 

317 

5,297 
7.855 

7.431 


1,743 

2.448 

38,003 

369 

1,514 
54,235 

17,258 
24,397 
26,661 

979 
103,613 

434 


See  footnotes  at  end  of  table. 


176 


Table  34.  —  Male  Arrests,  Distribution  by  Age,  1987  —  Continued 


Offense  charged 


Age 


65  and 
over 


TOTAL 

Percent  distribution 

Murder  and  nonnegligent 

manslaughter 

Forcible  rape 

Robbery    

Aggravated  assault 

Burglary    

Larceny-theft 

Motor  vehicle  theft 

Arson 


Violent  crime 
Percent  distnbution' 
Property  cnme' 
Percent  distribution' 


Cnme  Index  total^ 
Percent  distribution' 

Other  assaults       

Forgery  and  counterfeiting 

Fraud 

Embezzlement 

Stolen  property;  buying. 

receiving,  possessing 

Vandalism 

Weapons;  carrying,  possessing, 

etc 

Prostitution  and  commercialized 
vice 

Sex  offenses  (except  forcible  rape 
and  prostitution) 

Drug  abuse  violations 

Gambling 

Offenses  against  family  and 
children 

Driving  under  the  influence 


Liquor  laws 

Drunkenness 

Disorderly  conduct 

Vagrancy    

All  other  offenses  (except  trafTic) 

Suspicion 

Curfew  and  loitering  law 

violations 

Runaways 


389,757 
4.4 


747 

1.329 

5.842 

11,154 

14.217 

28,799 

5,100 

375 


19.072 
4  5 

48.491 
3,6 


67.563 
3,8 


25.360 

2,631 

6,795 

303 

4.609 
7,217 

7,171 


1.743 

2.509 

38,155 

423 

1,632 
57,505 

13,793 
24,245 
24,852 

989 
101.861 

401 


386,418 
4.4 


377,916 
4.3 


1,623,759 
18.3 


,166,465 
13.1 


754,703 
8.5 


444,228 
5.0 


268,878 
3.0 


174,772 
2.0 


119,254 
1.3 


661 

1,343 

5.465 

11.304 

13.089 

27,019 

4,642 

429 


662 

1.369 

5.292 

11.424 

11.953 

25,916 

4,123 

354 


2.664 

6.181 

20.991 

52.481 

46,996 

112.912 

15,780 

1.436 


1.938 

4.395 

12.379 

39.400 

29.431 

88.498 

9.633 

1.161 


1.331 

2.832 

6.198 

25.238 

14.681 

58.790 

5.071 

776 


812 

1.577 

2.484 

15.268 

6.318 

30.727 

2.442 

485 


455 

867 

1.056 

8.855 

2.918 

17,744 

1.128 

291 


295 

464 

489 

5.428 

1,349 

11,492 

627 

199 


201 
335 
267 

3,443 
709 

8,496 
295 
136 


18,773 
4.5 

45.179 
33 


18.747 
45 

42.346 
3,1 


82,317 

19.6 

177,124 

13.1 


58.112 

13.8 

128,723 

9.5 


35.599 
8,5 

79,318 
5.8 


20,141 
48 

39,972 
2.9 


11.233 
2.7 

22.081 
1,6 


6,676 

1.6 

13.667 

1,0 


4.246 

1,0 

9.636 

,7 


63.952 
3.6 


61.093 
3.4 


259.441 
14,6 


186,835 
10,5 


114.917 
6.5 


60.113 

3,4 


33.314 
1,9 


20,343 
1,1 


13,882 


26,302 

2,716 

7,320 

305 

4.290 
6.830 

7.024 


1.900 

2.643 

37.937 

429 

1.666 
60.691 

11.926 

24.686 

23.609 

954 

100.832 

406 


26.461 

2.516 

7.293 

293 

3.977 
6,413 

6.703 


1.843 

2.572 

37.238 

462 

1.757 
61.267 

10.336 
24,866 
22,586 

881 
98.951 

408 


121.434 

10.877 

32.622 

1.358 

15.738 
25.721 

27.044 


8,573 

13.012 

157,579 

2,541 

8.624 
276.323 

34.812 

118.518 

88.746 

4.1)96 

414.003 

1.797 


85.734 

7.930 

26.345 

982 

10.297 
15,976 

19,130 


5,953 

11.061 

103.012 

2.477 

7.699 
205.421 

22.239 

100.406 

59.607 

4.477 

289.438 

1.446 


52.854 

4.716 

18.461 

660 

6.148 
8.941 

12,187 


3,681 

8,317 

56,942 

2,256 

5,564 
141.915 

14.818 

76.838 

37.785 

3.827 

183.030 

846 


30.431 

2.294 

11.391 

428 

3.192 
4548 

7.414 


2.234 

5.795 

24.636 

2.106 

3.222 
95.388 

9.550 

53.383 

22.121 

2.369 

103.206 

407 


17.000 

1.094 

6.163 

213 

1.699 
2.339 

4434 


1.353 

3,602 

11,110 

1,881 

1,551 
62,453 

6,714 
38,671 
13,205 

1,478 

60,375 

229 


10.035 

623 

3.445 

119 

928 
1.388 

2,681 


877 

2,330 
5,239 
1,685 

759 
43,070 

4786 

30,023 

8,448 

989 

36.873 

131 


6,080 

326 

2,157 

83 

556 
789 

1,822 


611 

1,974 
2,733 
1,214 

395 
29,948 

3.449 

23.011 

5.680 

729 

23.749 

66 


75,636 
.9 


116 
211 
102 

2.174 
366 

6.037 
107 
81 


2.603 

.6 

6.591 

.5 


9.194 
.5 


3.877 

179 

1.295 

45 

330 
472 


394 

1.393 

1.332 

970 

198 
19.110 

2.151 
15.106 
3.732 
407 
14,233 
41 


73,626 
.8 


205 
193 
112 

2.369 
405 

8.515 
133 
49 


2.879 
.7 

9.102 
.7 


11,981 

.7 


3,894 

161 

1,097 

33 

260 
566 

1,276 


377 

1,666 
1,039 
1,172 

203 
16,386 

1,832 

12,973 

3,594 

345 

14,724 

47 


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. 


177 


Table  35.  — Female  Arrests,  Distribution  by  Age,  1987 

[10,616  agencies;   1987  estimated  population  202,337.000] 


OfTense  charged 


Total 
all 
ages 


Ages 

under 

15 


Ages 

under 

18 


Ages 
18  and 


Age 


Under 
10 


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  distnbution' 


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 


1,914,341 
100.0 


2.085 

368 

9,964 

40.186 

29.794 

391,120 

14,211 

2.081 


52.603 

100.0 

437.206 

100,0 


489.809 
100.0 


101.249 

27.085 

122.236 

4,057 

13.845 
24.334 

12.649 


65,425 

6,716 

121,225 

3.069 

8.339 
164,951 

90.152 
64.701 
111.865 
3.761 
380,242 
1,694 

19.363 
77.574 


136,991 

7.2 


400.492 
20.9 


1,513,849 
79.1 


7,640 
.4 


27,752 
1.4 


101,599 

5.3 


82,652 
4.3 


93,714 
4.9 


87,135 
4.6 


79.942 
4.2 


78,816 
4.1 


76,351 
4.0 


32 

50 

611 

2,019 

4,348 

42,704 

1.967 

397 


138 

110 

1,903 

6,006 

9,771 

106,459 

6.186 

624 


1,947 

258 

8.061 

34,180 

20.023 

284.661 

8.025 

1.457 


1 
3 

14 
97 
458 
2.740 
20 
69 


7 

6 

89 

395 

1.147 

11.664 

206 

116 


24 

41 

508 

1.527 

2.743 

28.300 

1.741 

212 


18 

25 

419 

1.243 

1.876 

19.171 

1.565 

105 


43 

18 

454 

1,373 

1,819 

22,962 

1,481 

56 


45 

17 

419 

1,371 

1.728 

21.622 

1.173 

66 


49 

15 

435 

1,245 

1.538 

19,308 

766 

52 


78 

16 

428 

1,328 

1,321 

17.134 

616 

57 


80 

11 

470 

1.529 

1.205 

15,155 

534 

44 


2.712 

5.2 

49,416 

11.3 


8.157 

15.5 

123.040 

28.1 


44.446 

845 

314.166 

71.9 


115 

.2 
3.287 


497 

.9 

13.133 

3.0 


2.100 

4.0 

32.996 

7.5 


1.705 

3.2 

22.717 

5.2 


1,888 

3.6 

26,318 

6.0 


1,852 

3.5 

24,589 

5.6 


1,744 

3.3 

21,664 

5.0 


1,850 

3.5 

19,128 

4.4 


2,090 

4.0 

16,938 

3.9 


52.128 
10.6 


131.197 
268 


358,612 

73.2 


3.402 

.7 


13.630 
2.8 


35.096 

7,2 


24.422 
5.0 


28,206 
5.8 


26,441 
5,4 


23,408 


20.978 
4.3 


19,028 
3.9 


8.737 

377 

2.047 

32 

760 
3,949 


130 

489 
1,804 

7 

372 
80 

3,959 
711 

5,442 

109 

17.680 

182 

5.761 
31.625 


22.232 

2,368 

4,783 

330 

2,766 
8,412 

1,835 


1,447 

899 

9,956 

44 

977 
2,685 

35,803 
3,271 
16,758 

439 
56,856 

497 

19.363 
77,574 


79,017 
24,717 
117,453 

3,727 

11,079 
15,922 

10,814 


63.978 

5,817 

111.269 

3.025 

7.362 
162.266 

54.349 

61.430 

95.107 

3.322 

323.386 

1.197 


427 

9 

67 

2 

31 
520 


14 
350 


1,703 

22 


118 
686 


1,992 

67 

481 

11 

123 
1.103 

100 


159 

176 

2 

62 
9 

278 
58 

1.201 
II 

3.046 
20 

817 
4.400 


6318 

301 

1.499 

19 

606 
2.326 

492 


119 

255 

1.586 

5 

223 
63 

3.629 

639 

3.891 

96 

12.931 

140 

4.826 
26.539 


4.450 

355 

1.404 

29 

575 
1.335 

391 


213 

133 

1.749 

14 

229 
145 

6235 

682 

3,308 

82 

11,081 

125 

4.600 
21.095 


4.575 

696 

428 

91 

697 
1.513 

403 


370 

121 

2.822 
12 

235 

777 

11.210 

829 

3,895 

116 

13.463 
114 

5.294 
17.847 


4,470 
940 
904 
178 

734 
1.615 

431 


734 

156 

3.581 

II 

141 
1.683 

14.399 

1.049 

4,113 

132 

14,632 

76 

3,708 
7.007 


3.671 

1.261 

2,090 

221 

735 
1,037 

467 


1,875 

213 
4,585 

15 

232 
3.598 

14.713 

1,474 

4,432 

194 

15,672 

49 


3,781 
1.402 
3,395 

273 

693 
987 

480 


3.083 

267 

5.214 

28 

239 
4.476 

10.788 

1.563 

4,584 

222 

16,298 

65 


3,885 

1,394 

4,350 

285 

619 
903 

481 


3,326 

273 
5.611 

35 

276 
5,332 

6.957 

1.692 

5,140 

187 

16,518 

59 


77,720 
4.1 


16 

550 

1.649 

1.201 

14.253 

476 

50 


2.303 

44 

15,980 

3.7 


18,283 
3.7 


4,223 

1,463 

5,167 

233 

661 

948 

552 


4,403 

322 

6.065 

58 

329 
7.078 

2.321 
2.267 
5.557 
199 
17.541 
50 


See  footnotes  at  end  of  table. 


178 


Table  35.  —  Female  Arrests,  Distribution  by  Age,  1987  —  Continued 


Age 

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   

81.092 
4.2 

82,053 
4.3 

81,559 
4.3 

354,086 
18.5 

249,456 
13.0 

150,205 
7.8 

84,102 
4.4 

47,293 

2.5 

27,375 
1.4 

18,156 
.9 

11,597 
.6 

14,04« 

Percent  distribution' 

.7 

Murder  and  nonnegligent 

80 

8 

504 

1,678 

1,135 

13,962 

532 

74 

97 

12 

561 

1.817 

1.155 

13.935 

496 

64 

98 

8 

546 

1.828 

1.103 

13.349 

499 

77 

411 

67 
2,233 
8.226 
5,013 
58.214 
1.897 
330 

350 

47 
1.354 
6.305 
3.171 
43.800 
1.210 
257 

227 

28 

601 

3.775 

1.637 

26,829 

554 

189 

146 

15 

221 

2.113 

818 

15,716 

226 

111 

101 
8 

83 

1.190 

347 

9.553 

121 

61 

57 
5 

35 
643 
182 
7.177 
52 
39 

35 

1 

22 

415 

98 

5.699 

24 

27 

21 

7 
236 
54 
4.320 
10 
11 

29 

Forcible  rape 
Robbery 

1 

11 
203 

45 

6.257 

12 

14 

Violent  crime^ 
PercenC  distribution' 
Property  cnme^ 
Percent  distribution' 

Crime  Index  total* 

Percent  distnbution' 

2.270 

4,3 

15,703 

3.6 

2.487 

4.7 

15,650 

3.6 

2.480 

47 

15,028 

3.4 

10,937 
20.8 

65,454 
15.0 

8.056 

15.3 

48,438 

11.1 

4,631 

8.8 

29,209 

6.7 

2,495 

4.7 

16,871 

3.9 

1.382 

2.6 

10.082 

2.3 

740 

1.4 

7,450 

1.7 

473 

.9 

5,848 

1.3 

264 

.5 

4,395 

1.0 

244 

.5 

6,328 

1.4 

17,973 
3.7 

18,137 

3.7 

17,508 
36 

76,391 
15.6 

56,494 
11.5 

33,840 
6.9 

19.366 
4.0 

11,464 
2.3 

8.190 
1.7 

6,321 
1.3 

4,659 
1.0 

6.572 
1.3 

4,358 

1.438 

5,602 

207 

625 
891 

562 

5.237 

373 
6,546 

77 

331 
7.540 

1.898 

2.498 

6,682 

174 

17.998 

82 

4,355 

1.511 

6,266 

206 

639 
918 

555 

5.218 

394 

6.813 

73 

373 
7,976 

1.678 

2.720 

6.050 

179 

17,934 

58 

4,359 

1,374 

6,199 

191 

634 
966 

609 

4,831 

397 

6,924 

91 

384 
8,362 

1,421 
2,747 
6.194 
204 
18,087 
77 

18,824 

6,166 

28.068 

848 

2.776 
3.787 

2.588 

20,174 

1,608 

31.272 

474 

1.791 
38.205 

5.190 
14.059 
24,830 

739 
75.978 

318 

13.262 

4.297 

22.746 

506 

1.772 
2,446 

1.822 

10.309 

1.120 

20.574 

468 

1,447 
28,632 

3,323 
11.411 
14.767 

529 
53.293 

238 

7.968 

2.386 

16.146 

365 

998 
1.398 

1.118 

3.821 

462 

9,914 

495 

970 
19.529 

2.216 

7.759 

7.690 

290 

32.717 

123 

4.416 

1.136 

8.952 

183 

417 
786 

688 

1.153 

206 

4.360 

389 

487 
12.986 

1.474 

5.035 

3.985 

137 

17,907 

39 

2.524 
435 

4,357 
108 

237 
347 

367 

360 

86 

1.818 

320 

225 
8.173 

1.005 
3.387 
2.148 

93 
9,822 

17 

1.423 

247 

2.031 

54 

126 
223 

220 

80 

38 
841 
213 

118 
4.506 

565 

1.916 

1.231 

69 

5.273 

11 

842 
99 

991 
24 

60 
123 

142 

50 

19 
399 
148 

87 
2.899 

346 

1.409 

749 

46 

3,397 

5 

502 
48 

520 
14 

51 
66 

78 

24 

13 
181 
81 

31 
1.664 

249 

808 

514 

33 

2.059 

2 

624 

Forgery  and  counterfeiting 

Fraud 

60 

573 

9 

Stolen  property;  buying, 
receiving,  possessing 

Vandalism 

Weapons;  carrying,  possessing, 

etc 

Prostitution  and  commercialized 

vice 

Sex  offenses  (except  forcible  rape 

and  prostitution) 

Drug  abuse  violations 

Gambling                    

Offenses  against  family  and 

children                    

Dnving  under  the  influence 

36 
96 

85 

34 

26 
152 
60 

42 
1.310 

205 

685 

554 

27 

All  other  offenses  (except  traffic) 
Suspicion 

Curfew  and  loitering  law 
violations 

2.892 
4 

'Because  of  rounding,  the  per 
^Violent  cnmes  are  offenses  o 
^Property  crimes  are  offenses 
'Includes  arson. 

;entages  may 
murder,  fo 
of  burglary. 

not  add  to 
cible  rape,  r 
larceny-theft 

total. 

obbery,  and 
motor  vehi 

aggravated  a 
;le  theft,  anc 

issault. 
arson. 

179 

Table  36.  —  Total  Arrests  of  Persons  under  15,  18,  21,  and  25  Years  of  Age,  1987 
[10,616  agencies;  1987  estimated  population  202,337,000] 


Offense  charged 


ToUl 
all 
ages 


Number  of  persons  arrested 


Under  15  Under  18  Under  21 


Under  25 


Percent  of  total  all  ages 


Under 
15 


Under 
18 


Under 
21 


Under 

25 


TOTAL 

Murder  and  nonnegligent  manslaughter 

Forcible  rape 

Robbery 

Aggravated  assault 

Burglary 

Larceny-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 


10,795,869 


16,714 

31,276 

123,306 

301,734 

374,963 

1,256,552 

146.753 

15,169 


473,030 
1.793,437 


2,266,467 


671,938 
78.817 
280809 
10,639 
119,048 
230,088 
165,650 

100.950 
85,627 

811.078 

22,762 

48,002 

1.410.397 

505,021 

700,662 

599,622 

32.518 

2.430,913 

11,670 

77,556 

135,635 


557,278 


1,781,240 


3,263,215 


5,138,232 


5.2 


16.5 


203 
1,660 

7.188 

11,284 

47,601 

162.255 

14,056 

3,851 


1,592 

4,909 

27,682 

38,646 

132,162 

388.788 

58,573 

6.139 


4.163 

8,662 

49.704 

72.126 

200,950 

567,350 

85,736 

7,703 


7,320 

14,049 

74,661 

123,972 

260,425 

735,776 

107,431 

9,516 


1,2 
5.3 
5,8 
3,7 
12,7 
12,9 
9.6 
25.4 


9,5 
15,7 
22,4 
12,8 
35.2 
30,9 
39.9 
40.5 


20,335 
227,763 


72,829 
585,662 


134,655 
861,739 


220.002 
1,113.148 


4.3 
12.7 


15.4 
32.7 


248,098 


658,491 


996,394 


1,333,150 


109 


29,1 


35,113 

1,026 

7.995 

137 

7,858 

45,853 
6,578 

188 
6,391 

9,708 
124 
829 
365 

9.261 

2,231 

24.646 

539 

73,278 

814 

20.827 

55,419 


97,880 
7,097 
18,389 
908 
29,850 
94.949 
25.653 

2.135 

13,544 

76,037 

840 

2,567 
19,717 

132,459 

20.354 

88,497 

2,452 

273,671 

2,559 

77.556 

135.635 


170.537 

19,337 

42,122 

2.552 

52.695 

128.038 
50,770 

13,974 

21,241 

200,264 

1,830 

6,603 

137,825 

329,466 

76,838 

178,045 

6,379 

611,127 

3,987 

77,556 

135,635 


290.214 

35,743 

93,449 

4,607 

73,427 

160,076 
81,377 

40,892 
32,899 

377,945 
3,812 
14.589 

402,479 

390,097 

185,264 

300,236 

10,938 

1,087,944 

5.903 

77,556 

135,635 


5,2 
1,3 
2,8 
1,3 
6,6 
19,9 
4,0 

,2 
75 
1.2 

,5 
1,7 
(') 

1,8 

,3 

4,1 

1,7 

3,0 

7,0 

26,9 

40,9 


14,6 
9,0 
6,5 
8.5 
25,1 
41.3 
15.5 

2.1 
15.8 
9.4 
3.7 
5.3 
1.4 

26.2 

2.9 

14.8 

7,5 

11.3 

21,9 

100.0 

100.0 


30.2 


24.9 
27,7 
40.3 
23.9 
53.6 
45.2 
58.4 
508 


28.5 
48.0 


44,0 


25,4 
24.5 
15.0 
24.0 
44.3 
55.6 
30.6 

13.8 
24.8 
24.7 

8.0 
13.8 

9.8 

65.2 
11.0 
29.7 
19.6 
25.1 
34,2 
100.0 
100,0 


47.6 


43,8 
44,9 
60,5 
41,1 
69.5 
58.6 
73.2 
62.7 


46.5 
62,1 


58,8 


43,2 
45.3 
33.3 
43.3 
61.7 
69.6 
49,1 

40,5 
38.4 
46.6 
16.7 
30.4 
28.5 

77.2 
26.4 
501 
33.6 
44.8 
50,6 
100.0 
100.0 


'Violent  crimes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault, 
'Property  crimes  are  offenses  of  burglary.  larceny-thefl.  motor  vehicle  theft,  and  arson, 
^Includes  arson, 
*Less  than  one-tenth  of  1  percent. 


180 


Table  37. —  Total  Arrests,  Distribution  by  Sex,  1987 

[10,616  agencies;   1987  estimated  population  202.337,000] 


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* 

Cnme  Index  total' 

Other  assaults 

Forgery  and  counterfeiting 

Fraud 

Embezzlement 

Stolen  property;  buying,  receiving,  possessing 

Vandalism    

Weapons;  carrying,  possessing,  etc 

Prostitution  and  commercialized  vice 

Sex  offenses  (except  forcible  rape  and  prostitution) 

Drug  abuse  violations 

Gambling    

Offenses  against  family  and  children 

Driving  under  the  influence 

Liquor  laws 

Drunkenness 

Disorderiy  conduct 

Vagrancy     

All  other  offenses  (except  traffic) 

Suspicion 

Curfew  and  loitering  law  violations 

Runaways 


10,795,869 


16,714 

31,276 

123,306 

301,734 

374,963 

1,256,552 

146,753 

15,169 


473,030 
1,793,437 


2,266,467 


671,938 
78,817 
280,809 
10,639 
119,048 
230,088 
165,650 

100,950 
85,627 

811,078 

22,762 

48,002 

1,410,397 

505,021 

700,662 

599,622 

32,518 

2,430,913 

1 1,670 

77,556 

135,635 


8,881,528 


1,914.341 


82,3 


17.7 


100.0 


14,629 
30.908 
113,342 
261.548 
345,169 
865.432 
132.542 
13.088 


2.085 

368 

9.964 

40.186 

29.794 

391.120 

14.211 

2.081 


87.5 
988 
91.9 
867 
92.1 
68.9 
90.3 
86.3 


12.5 
1.2 
8.1 

13.3 
7.9 

31.1 
9.7 

13.7 


420.427 
1.356.231 


52.603 
437.206 


88.9 
75.6 


11.1 
24.4 


1.776.658 


489.809 


78.' 


21.6 


570.689 
51.732 
158.573 
6.582 
105.203 
205.754 
153.001 

35.525 
78.911 
689,853 
19,693 
39,663 
1,245,446 

414,869 

635,961 

487,757 

28,757 

2,050,671 

9,976 

58,193 

58.061 


101.249 
27.085 

122.236 
4.057 
13,845 
24,334 
12,649 

65,425 
6,716 

121,225 
3,069 
8,339 

164,951 

90,152 

64,701 

111,865 

3,761 

380,242 

1,694 

19.363 

77.574 


84.9 
65.6 
565 
61.9 
88.4 
89.4 
92.4 

35.2 
92.2 
85.1 
86.5 
82.6 
88.3 

82.1 
908 
81.3 
88.4 
84.4 
85.5 
75.0 
42.8 


15.1 
34.4 
43.5 
38.1 
11.6 
10.6 
7.6 

64.8 
7.8 
14.9 
13.5 
17.4 
11.7 

17.9 
9.2 
18.7 
116 
15.6 
14.5 
25.0 
57.2 


.2 

.3 

1.1 

2.8 

3.5 

11.6 

1.4 

.1 


4.4 
166 


21.0 


6.2 
.7 
2.6 
.1 
1.1 
2.1 
1.5 

.9 
.8 
7.5 
.2 
.4 
13.1 

4.7 

6.5 

5.6 

.3 

22.5 

.1 

.7 

1.3 


100.0 


.2 
.3 
1.3 
2.9 
3.9 
9.7 
1.5 
.1 


4.7 
15.3 


20.0 


6.4 
.6 

1.8 
.1 
1.2 

2.3 
1.7 

.4 
.9 
7.8 
.2 
.4 
14.0 

4.7 

7.2 

5.5 

.3 

23.1 

.1 

.7 

.7 


100.0 


.1 
0) 

.5 

2.1 

1.6 

20.4 

.7 
.1 


2.7 
22.8 


25.6 


5.3 
1.4 
6.4 
.2 
.7 
1.3 
.7 

3.4 
.4 

6.3 
.2 
.4 

8.6 

4.7 
3.4 
5.8 

.2 
19.9 

.1 
1.0 
4.1 


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

^Less  than  one-tenth  of  I  percent. 

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

'Property  cnmes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson. 

'Includes  arson. 


181 


Table  38.  —  ToUl  Arrests,  Distribution  by  Race,  1987 

[10,545  agencies;   1987  eslimaled  population  201.675,000] 


Offense  charged 


Total  arrests 


Total 


While 


Black 


American 
Indian 


Alaskan 
Native 


Pacific 
Islander 


Percent  distribution 


Total 


White 


Black 


Amencan 
Indian 


Alaskan 
Native 


Asian 

or 
Pacific 
Islander 


TOTAL 

Murder  and  nonnegligent  manslaughter 

Forcible  rape  

Robbery         

Aggravated  assault 

Burglary    

Larceny-theft  

Motor  vehicle  theft  

\TSQn 

Violent  crime^ 

Property  crime' 

Crime  Index  total* 

Other  assaults 

Forgery  and  counterfeiting 

Fraud  

Embezzlement 

Stolen  property:  buying,  receiving,  possessing 

Vandalism 

Weapons;  carrying,  possessing,  etc 

Prostitution  and  commercialized  vice 

Sex  offenses  (except  forcible  rape  and  prostitution) 

Drug  abuse  violations 

Gambling 

Offenses  against  family  and  children    

Dnving  under  the  influence  

Liquor  laws 

Drunkenness 

Disorderly  conduct 

Vagrancy      

All  other  offenses  (except  traffic) 

Suspicion        

Curfew  and  loitering  law  violations 

Runaways 


10,750,309 


7,386,639 


3,168,129 


116,916 


78,625 


100.0 


68.7 


16,678 

31.208 

123.152 

300.652 

374.079 

1,254.559 

146.535 

15,116 


7.642 

15.652 

43,899 

174.317 

250,844 

825,786 

87.240 

11,017 


8,746 

15,106 

77,957 

121,528 

117.553 

401,692 

56,531 

3,857 


131 

271 

560 

2,865 

3.090 

13.315 

1,296 

133 


159 

179 

736 

1.942 

2.592 

13.766 

1.468 

109 


1000 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


45.8 
50.2 
35.6 
58.0 
67.1 
65.8 
59.5 
72.9 


471.690 
1.790.289 


241,510 
1.174,887 


223,337 
579,633 


3,827 
17,834 


3,016 
17,935 


100.0 
100.0 


51.2 
656 


2,261.979 


1.416,397 


802,970 


21,661 


20.951 


100.0 


62.6 


671.018 
78.577 
280.601 
10.604 
118,701 
229,461 
165,303 

100,903 
85,455 

809,157 

22,729 

47,511 

1,388,975 

503,706 

697,701 

597,997 

32.468 

2,424.069 

11,517 

77.071 

134.806 


414,752 
51,410 

184,063 

7,250 

70,721 

172,879 

100,496 

58,365 

66,158 

511,278 

9,291 

30.453 

1,226,192 

439,651 

550,678 

378,693 

19,465 

1,504,750 

5,811 

55,493 

112,393 


243,820 
26,324 
94,256 
3,238 
46,703 
52,552 
62,576 

41,186 
17,832 

291,177 
12,161 
15,997 

138,052 

49,794 
128,454 
209,337 

12.090 

875,108 

5,600 

19.711 

19,191 


7,620 
436 

1,143 

46 

667 

2,263 
978 

470 

899 

3,008 

19 

527 

15,309 

11,367 

16,922 

7,320 

838 

23,342 

36 

766 

1,279 


4,826 
407 

1,139 

70 

610 

1,767 

1,253 

882 

566 

3,694 

1,258 

534 

9,422 

2,894 
1,647 
2.647 

75 
20,869 

70 
1,101 
1,943 


100.0 
100.0 
100.0 
1000 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


61.8 
65.4 
656 
68.4 
59,6 
75.3 
60.8 

57.8 
77.4 
632 
40.9 
64.1 
88.3 

87.3 
78.9 
63.3 
60.0 
62.1 
505 
720 
83.4 


29,5 


52.4 
48.4 
63.3 
40.4 
31.4 
32.0 
38.6 
25.5 


47.3 
32.4 


35.5 


36.3 
33.5 
33.6 
305 
39.3 
22.9 
37.9 

40.8 
20.9 
36.0 

53.5 
33.7 
9.9 

9.9 
18.4 
35.0 
37.2 
361 
48.6 
25.6 
14.2 


1.1 


1.0 


1.0 


1.1 

.6 
.4 
.4 
.6 
1.0 
.6 

.5 
1.1 

.4 

1 

1.1 

11 

2.3 
2.4 
1.2 
2.6 
1.0 

.3 
1.0 

.9 


1.0 
.6 
.6 
.6 
.7 
l.I 
1.0 
.7 


.6 
1.0 


.9 
.7 
.5 
5.5 
1.1 
,7 

.6 

.2 
.4 
.2 
.9 
.6 
1.4 
1.4 


See  footnotes  at  end  of  table. 


^ 


182 


Table  38. —  Total  Arrests,  Distribution  by  Race,  1987  —  Continued 


Offense  charged 


Arrests  under  18 


Total 


White 


Black 


American 
Indian 

or 
Alaskan 
Native 


Asian 


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 

\rson    


Violent  crimed.. 
Properly  cnme^. 


Cnme  Index  total* 


Dther  assaults 

"orgery  and  counterfeiting 

~raud    

imbezzlement  

Itolen  property;  buying,  receiving,  possessing. 

Vandalism 

Veapons;  carrying,  possessing,  etc 


'rostitution  and  commercialized  vice  

ex  ofTenses  (except  forcible  rape  and  prostitution) 

)rug  abuse  violations 

iambling     

)ffenses  against  family  and  children 

)riving  under  the  influence 


.iquor  laws 

)runkenness 

)isorderly  conduct 

'agrancy  

M  other  oflenses  (except  traffic) 

uspicion       

Curfew  and  loitering  law  violations 
Runaways 


1,774,567 


1,279,696 


457,593 


15,286 


21,992 


100.0 


1.591 

4.898 

27,651 

38,417 

131,822 

388,150 

58,456 

6,121 


72,557 
584549 


657,106 


97,550 
7,076 
18.384 
906 
29,780 
94.706 
25,626 

2.134 

13,520 

75.186 

840 

2,401 
19.465 

132,000 

20,252 

88,352 

2,441 

272,408 

2,557 

77,071 

134,806 


671 

2,076 

8,503 

20,628 

97,693 

275,340 

34,785 

5,037 


880 

2,776 

18,766 

17,208 

31,597 

102,680 

22,175 

958 


16 

20 

103 

292 

1,134 

3,981 

569 

52 


24 

26 

279 

289 

1,398 

6,149 

927 

74 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


42.2 
42.4 
30.8 
53.7 
741 
70.9 
59.5 
82,3 


31,878 
412,855 


39,630 
157,410 


431 
5,736 


618 
8.548 


100.0 
100.0 


43.9 
70.6 


444,733 


197.040 


6.167 


9.166 


100,0 


67.7 


58.586 

5,698 

8,973 

628 

18,032 

77,271 

16,149 

1,275 
9,625 

48,010 

177 

1,836 

18,600 

124,892 

18,625 

60,365 

2,047 

194,152 

2,136 

55.493 

112.393 


37,01 1 
1.269 
9.015 
270 
11,359 
15,809 
9.029 

823 
3,709 
26,213 
608 
534 
547 

4,308 

1,241 

27,137 

347 

72,027 

395 

19,711 

19,191 


675 

46 

51 

2 

160 

670 

118 

24 
91 
319 

17 
218 

2,155 

330 

501 

24 

1,656 

17 

766 

1,279 


1,278 
63 
345 
6 
229 
956 
330 

12 
95 

644 
55 
14 

100 

645 

56 

349 

23 

4573 

9 

1,101 

1,943 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100,0 
100.0 
1000 

100.0 
100.0 
100.0 
100.0 
100.0 
1000 
100.0 
100.0 


60.1 
80.5 
48.8 
69.3 
60.6 
81.6 
63.0 

59.7 
71,2 
63.9 
21.1 
76.5 
95.6 

94.6 
92.0 
68.3 
83.9 
71.3 
83.5 
72.0 
83.4 


25.8 


55.3 
56.7 
67.9 
44.8 
24.0 
26.5 
37.9 
15.7 


54.6 
26.9 


30.0 


37.9 
17.9 
49.0 
29.8 
38.1 
16.7 
35.2 

38.6 
274 
34.9 
72.4 
22.2 
2.8 

3.3 
6.1 
30.7 
142 
26.4 
15.4 
25.6 
142 


1,2 


1.5 
.5 
1.0 
.8 
1.1 
1.6 
1.6 
1,2 


.9 
1.5 


14 


1.3 
.9 

1.9 
.7 
.8 

1.0 

1.3 

.6 
.7 
.9 
6.5 
.6 
.5 

.5 
.3 
.4 
.9 
1.7 
.4 
1.4 
1.4 


See  footnotes  at  end  of  table. 


183 


Table  38. —  Total  Arrests,  Distribution  by  Race,  1987  —  Continued 


Offense  charged 


Arrests  18  and  over 


Total 


White 


Black 


American 
Indian 


Alaskan 
Native 


Asian 


Pacific 
Islander 


Percent  distribution 


Total 


White 


Black 


American 
Indian 


Alaskan 
Native 


Asian 


Pacific 
Islander 


TOTAL  . 


Murder  and  nonnegligent  manslaughter  . 

Forcible  rape 

Robbery 

Aggravated  assault 

Burglary 

Larceny-theft 

Motor  vehicle  theft 

Arson 


Violent  crime'.. 
Property  crime' 


Crime  Index  total' 


Other  assaults 

Forgery  and  counterfeiting 

Fraud  

Embezzlement 

Stolen  properiy;  buying,  receiving,  possessing. 

Vandalism 

Weapons;  carrying,  possessing,  etc 


Prostitution  and  commerciahzed  vice 

Sex  offenses  (except  forcible  rape  and  prostitution) . 

Drug  abuse  violations 

Gambling 

Offenses  against  family  and  children 

Driving  under  the  influence 


Liquor  laws 

Drunkenness 

Disorderly  conduct 

Vagrancy       

All  other  offenses  (except  traffic) .... 

Suspicion    

Curfew  and  loitering  law  violations . 
Runaways 


8,975,742 


«,  106,943 


2,7tO,53« 


101,630 


56,633 


100.0 


68.0 


30.2 


15,087 

26,310 

95,501 

262,235 

242,257 

866,409 

88,079 

8,995 


399,133 
1,205,740 


1,604,873 


573,468 
71,501 

262,217 
9,698 
88,921 

134,755 

139,677 

98,769 

71,935 

733,971 

21,889 

45,110 

1.369,510 

371,706 

677,449 

509,645 

30.027 

2,151,661 

8,960 


6,971 

13,576 

35,396 

153,689 

153,151 

550,446 

52,455 

5,980 


7,866 

12,330 

59,191 

104.320 

85,956 

299,012 

34,356 

2,899 


115 

251 

457 

2,573 

1,956 

9,334 

727 

81 


135 

153 

457 

1.653 

1,194 

7,617 

541 

35 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


46.2 
51.6 
37.1 
58.6 
63.2 
63.5 
59.6 
66.S 


52.1 
46,9 
62.0 
39.8 
35.5 
34.5 
39.0 
32.2 


209,632 
762,032 


183,707 
422,223 


3,396 
12,098 


2,398 
9,387 


100.0 
100.0 


52.5 
63.2 


46.0 

35.0 


971,664 


605,930 


15,494 


11,785 


100.0 


60.5 


37.8 


356,166 

45,712 
175,090 
6,522 
52,689 
95,608 
84,347 

57,090 

56,533 

463,268 

9,114 

28,517 

1,207,592 

314,759 

532,053 

318,328 

17,418 

1,310,598 

3,575 


206,809 
25,055 
85,241 
2,968 
35,344 
36,743 
53,547 

40,363 
14,123 

264,964 
11,553 
15,463 

137,505 

45,485 
127,213 
182,200 

11.743 

803,081 

5,205 


6,945 
390 

1,092 
44 
507 

1,593 
860 

446 

808 

2,589 

19 

510 

15,091 

9,212 

16,592 

6.819 

814 

21.686 

19 


3,548 
344 
794 
64 
381 
811 
923 

870 

471 

3,050 

1,203 

520 

9,322 

2.249 
1,591 
2,298 

52 
16,296 

61 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
1 00.0 
100.0 
100.0 
100.0 


52.1 
53.9 
56.8 
58.3 
593 
70.9 
60.4 

57.8 
78.5 
53.1 
41.5 
53.4 
88.2 

84.7 
78.5 
62.5 
58.0 
60.9 
41.0 


36.1 
35.0 
32.5 
30.6 
39.7 
27.3 
38.3 

40.9 
19.6 
361 

52.8 
34.3 
10,0 

12.2 
18.8 
35.8 
391 
37.3 
58.1 


1.1 


1.0 


1.2 
.5 
.4 
.5 
.6 

1.2 
.6 

.5 
1.1 
.4 
,1 
1.1 
1.1 

2.5 
2.4 
1.3 
2.7 
1.0 
.2 


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

^Violent  crimes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault, 
^Property  crimes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson. 
'Includes  arson. 


184 


Table  39.  — Qty  Arrest  Trends,  1986-1987 

[6,239  agencies;   1987  estimated  population  129.799.000] 


Offense  charged 


TOTAL  . 


Murder  and  nonnegligent  manslaughter 

Forcible  rape 

Robbery      

Aggravated  assault 

Burglary 

Larceny-theft 

Motor  vehicle  theft 

Arson 


Violent  crime  .. 
Property  crime' 


Crime  Index  total 


Other  assaults 

Forgery  and  counterfeiting 

Fraud      

Embezzlement 

stolen  property;  buying,  receiving,  possessing.. 

Vandalism   

Weapons;  carrying,  possessing,  etc 


'rostitution  and  commerciahzed  vice 

5ex  offenses  (except  forcible  rape  and  prostitution) 

Drug  abuse  violations 

jambling 

Offenses  against  family  and  children 

Driving  under  the  influence 


.iquor  laws 

Drunkenness 

Disorderly  conduct 

/agrancy       

\ll  other  ofTenses  (except  traffic) .... 

uspicion  (not  included  in  totals).... 
Curfew  and  loitering  law  violations. 
Runaways  


Number  of  persons  arrested 


Total  all  ages 


1986 


7,807,658 


12,213 
23.090 
108,674 
212.558 
269.728 
980,617 
101,820 
10,881 


356,535 
1,363,046 


1,719,581 


1987 


7,943,376 


12,170 

22,830 

105,591 

222,832 

267,147 

1.008,207 

113,501 

10,700 


363,423 
1,399,555 


1,762,978 


476,237 

508,440 

53,375 

55.684 

145,846 

148,718 

6,027 

6,558 

86,665 

91,071 

175,840 

172,981 

133,059 

127.971 

97,117 

92.741 

61,552 

62,207 

562,004 

624,762 

23.939 

19,523 

21.057 

23,136 

843,500 

815,948 

365,549 

369.095 

616,799 

572,101 

522,158 

502,411 

30,581 

29,975 

1,698,852 

1.787,064 

10,321 

9,850 

67,087 

69,416 

100,833 

100,596 

Percent 
change 


+1.7 


-.4 
-II 

-2.8 
+4.8 
-1.0 
+2.8 
HI. 5 
-1.7 


+  1.9 

+  27 


+2,5 


+6.8 
+4.3 
+2.0 
+  8.8 
+  5.1 
-1.6 
-3.8 

-4.5 
+  1,1 
+  11,2 
-18,4 
+9,9 
-3,3 

+  1.0 

-7,2 
-3.8 
-2,0 
+5,2 
-4,6 
+3,5 
-.2 


Under   1 8  years  of  age 


1986 


1,425,912 


1.207 

3,865 

26.578 

29,488 

98,710 

320,128 

40,728 

4,596 


61,138 
464,162 


525,300 


74,862 
5,323 
16,290 
520 
23,559 
75,971 
22,445 

2,209 

10.415 

58,260 

654 

2,109 
14,292 

98,366 

21,449 

77,334 

2,021 

226,613 

2.099 

67,087 

100,833 


1.412.802 


1,285 

3.816 

24.659 

30.304 

94,459 

319,775 

46,585 

4,621 


60.064 
465.440 


525,504 


78.795 
5,499 
17,023 
601 
24,498 
72.515 
21,182 

1.960 

9,978 

62,225 

706 

2.047 
12,252 

96.013 

16,927 

73.995 

1,887 

219,183 

1,938 

69,416 

100,596 


Percent 
change 


+6.5 

-1.3 

-7.2 

+2.8 

-4,3 

-.1 

+  14,4 

+,5 


-1 

+  3 


C) 


+  5,3 
+3.3 
+4.5 
+  15.6 
+4.0 
^,5 
-5.6 

-11,3 
^,2 
+6,8 
+8,0 
-2,9 

-14,3 

-2,4 
-21,1 
-4,3 
-6.6 
-3.3 
-7.7 
+  3.5 


18  years  of  age  and  over 


1986 


6,381,746 


11,006 

19.225 

82,096 

183,070 

171,018 

660,489 

61,092 

6,285 


295,397 
898,884 


1,194,281 


401,375 
48.052 

129,556 

5.507 

63,106 

99,869 

110.614 

94,908 
51.137 

503,744 
23.285 
18,948 

829.208 

267,183 

595,350 

444,824 

28,560 

1,472,239 

8,222 


1987 


6,530,574 


10,885 

19,014 

80,932 

192.528 

172,688 

688,432 

66,916 

6,079 


303,359 
934,115 


1,237,474 


429,645 
50,185 

131,695 

5,957 

66,573 

100.466 

106.789 

90.781 
52,229 

562,537 
18,817 
21,089 

803,696 

273,082 

555,174 

428.416 

28,088 

1,567,881 

7,912 


Percent 
change 


+2.3 


-1.1 
-1.1 
-1.4 
+5.2 
+  1.0 
+4.2 
+9.5 
-3.3 


+27 
+3.9 


+  3,6 


+7,0 
+4.4 
+  17 
+8.2 
+5.5 
+.6 
-3.5 

-t.3 

+2.1 

+  117 

-19.2 

+  11.3 

-3.1 

+2.2 
-6.7 
-3.7 
-1.7 
+6.5 
-3.8 


'Violent  crimes  are  ofTenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault, 
'Property  crimes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson. 
^Includes  arwjn. 
*Less  than  one-tenth  of  one  percent. 


185 


Table  40.  — City  Arrest  Trends,  Sex,  1986-1987 

[6,239  agencies;   1987  estimated  population   129,799,000] 


Offense  charged 


Males 


Total 


1986 


1987 


Percent 
change 


Under  18 


1986 


1987 


Percent 
change 


Females 


Total 


1987 


Percent 
change 


Under  18 


1986 


1987 


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  

Ali  other  offenses  (except  traffic) 
Suspicion  (not  included  in  totals) 
Curfew  and  loitering  law  violations 
Runaways 


6,434,513 


6,519,240 


+1.3 


1,110,714 


1,094,982 


-1.4 


1,373,145 


1,424,136 


+3.7 


315,198 


317,820 


10,740 

22,844 

100,1.12 

183,443 

247.752 

677.720 

92,197 

9,354 


10,679 

22,555 

97,004 

192,196 

245,105 

689,631 

102,683 

9,175 


-.6 
-1,3 
-3,1 
+4,8 
-11 
+  1,8 
+  114 
-1,9 


1,123 

3,794 

24,742 

24.827 

91,351 

234,016 

36,477 

4,158 


1,186 

3,726 

22.956 

25.531 

87.390 

230.761 

41.834 

4.149 


+5,6 
-1,8 
-7,2 
+  2,8 
-Ai 
-1,4 
+  14,7 
-2 


1.473 

246 

8.542 

29,115 

21,976 

302,897 

9,623 

1,527 


1,491 

275 

8,587 

30,636 

22,042 

318,576 

10.818 

1.525 


+  1,2 

+  11,8 

+  5 

+  5,2 

+  3 

+  5,2 

+  12.4 

-.1 


84 

71 

1.836 

4.661 

7.359 

86.112 

4.251 

438 


99 

90 

1.703 

4.773 

7,069 

89,014 

4,751 

472 


317,159 
1,027.023 


322,434 
1.046.594 


+  1,7 
+  1,9 


54.486 
366.002 


53.399 
364,134 


-2,0 

-,5 


39,376 
336,023 


40,989 
352,961 


+4,1 
+5,0 


6,652 
98,160 


6,665 
101,306 


1,344,182 


1,369.028 


+  1,8 


420.488 


417.533 


375.399 


393.950 


104.812 


107,971 


404,541 

35,183 

89,016 

3,630 

76,653 
157,375 
122,904 


33,860 

55,921 

483,066 

19,956 

15,968 
742,123 

305,835 

561,780 

427,241 

26,969 

1,436,307 

8,802 

50,072 

41,931 


431,647 

36,438 

90,375 

3,840 

80,429 
154,527 
117,858 


32,553 

56,736 

532,825 

16,939 

17,199 
716,226 

305.186 

519,688 

406,288 

26,696 

1,510.114 

8,400 

52.313 

42,335 


+6,7 
+  3,6 
+  1,5 
+  5,8 

+4,9 
-1,8 
^,1 


-3,9 

+  1,5 
+  103 
-15,1 

+7.7 
-3.5 

-2 
-7,5 
^,9 
-1,0 
+  5,1 
^,6 
+4,5 
+  1,0 


57.868 

3,577 

12.428 

303 

21.426 
69.151 
20,996 


774 

9.664 

50.320 

619 

1.267 
12,383 

73,403 
18,166 
63,377 

1,645 
180,856 

1,645 
50,072 
41,931 


60,709 

3,599 

12,726 

381 

22,234 
66.000 
19.642 


643 

9.314 

54.404 

680 

1.209 
10.562 

70.462 
14.240 
60.179 

1,556 
174,261 

1,548 
52,313 
42,335 


+4,9 

+  6 

+  2,4 

+25,7 

+  3,8 
^6 
-6,4 


-169 

-3,6 
+  8,1 
+9,9 

^,6 
-14,7 

^,0 
-21,6 
-5,0 
-5,4 
-3,6 
-5,9 
+4.5 
+  1,0 


71,696 

18,192 

56,830 

2,397 

10,012 
18,465 
10,155 


63,257 

5,631 

78,938 

3,983 

5,089 
101,377 

59.714 

55.019 

94,917 

3.612 

262.545 

1.519 

17.015 

58,902 


76,793 

19,246 

58,343 

2.718 

10.642 
18.454 
10.113 


60.188 

5.471 

91.937 

2,584 

5,937 
99,722 

63,909 

52,413 

96,123 

3,279 

276.950 

1,450 

17,103 

58,261 


+7,1 

+5,8 

+2,7 

+  13,4 

+6,3 
-1 

-,4 


^,9 

-2,8 
+  16.5 
-35.1 

+  16.7 
-1.6 

+7,0 
-AJ 
+  1,3 
-92 
+5,5 
^,5 
+.5 
-1.1 


16,994 

1,746 

3,862 

217 

2,133 
6,820 
1.449 


1.435 

751 

7,940 

35 

842 
1,909 

24,963 
3,283 
13,957 

376 
45,757 

454 
17,015 
58,902 


18,086 

1,900 

4,297 

220 

2,264 
6,515 
1,540 


1,317 

664 

7,821 

26 

838 
1,690 

25.551 

2.687 

13.816 

331 

44.922 

390 

17.103 

58.261 


+  17.9 
+26.8 
-7.2 
+2.4 
-3.9 
+  3.4 
+  11.8 
+7.8 


+.2 
+3.2 


+3.0 


+6.4 

+8.8 

+  11.3 

+  1.4 

+61 
^.5 
+6.3 


-8.2 

-11.6 

-1.5 

-25.7 

-.5 
-11.5 

+2.4 
-18.2 

-1.0 
-12.0 

-1.8 

-14.1 

+.5 

-1.1 


Violent  cnmes  are  ofTenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault. 
^Property  cnmes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson. 
^Includes  ar^on. 


186 


Table  41.  — City  Arrests,  Distribution  by  Age,  1987 

[7.222  agencies.   1987  eslimated  population   138.128,000] 


Offense  charged 


Total 
all 
ages 


Ages 

under 

15 


Ages 
under 

18 


Ages 
18  and 


Age 


Under 
10 


10-12 


13-14 


16 


17 


19 


20 


TOTAL 

Percent  distribution' . 


8,385,115 
100.0 


480,882 

5.7 


1,499,996 
17.9 


6,885,119 
82.1 


41,428 
.5 


118,591 
1.4 


320,863 
3.8 


272,062 
3.2 


353,289 
4.2 


393,763 

4.7 


401,298 
4.8 


394,404 

4.7 


Vlurder  and  nonnegligent 

manslaughter 

Forcible  rape 

Robbery       

Aggravated  assault 

Burglary 

Larceny-theft 

Motor  vehicle  theft 

\rson  


12.580 

24.133 

108,461 

233,049 

278.660 

1.068.714 

117,418 

11,382 


172 

1,397 

6.778 

9.287 

37,096 

144,865 

11.778 

3,141 


1,322 

4,015 

25.350 

31,741 

99.251 

338,972 

48,427 

4,870 


11.258 

20.118 

83,111 

201.308 

179,409 

729,742 

68.991 

6,512 


10 

94 

281 

680 

3,405 

14,056 

205 

880 


18 

303 

1,386 

2,306 

9,670 

43.362 

1,450 

950 


144 

1.000 

5.111 

6.301 

24,021 

87,447 

10,123 

1,311 


183 

734 

4,823 

5,732 

18,843 

58.816 

11.463 

698 


367 

902 

6,583 

7,899 

22,030 

68,875 

13,311 

554 


600 

982 

7,166 

8,823 

21,282 

66,416 

11,875 

477 


690 

949 

6,941 

8,556 

19,048 

58,324 

8,765 

417 


695 

946 

6,365 

8,781 

15,690 

48,926 

7,231 

373 


Violent  crime^ 

Percent  distribution'  . 

Property  crime'  

Percent  distribution'  . 


378,223 

100.0 

1,476.174 

100.0 


17634 

4.7 

196,880 

13.3 


62,428 

16.5 

491,520 

33,3 


315,795 
83,5 

984.654 
66  7 


1,065 

-3 

18,546 

1.3 


4,013 

11 

55,432 

3.8 


12.556 

3.3 

122,902 

8.3 


11,472 
3.0 

89,820 
6.1 


15.751 

4.2 

104,770 

7.1 


17,571 

4.6 

100,050 

6.8 


17,136 
4.5 

86,554 
5.9 


16,787 
44 

72,220 
4.9 


Crime  Index  total*.  . 
Percent  distnbution' 


1,854,397 
100.0 


214,514 
11.6 


553,948 
29.9 


1,300,449 
701 


19,611 
11 


59,445 
3.2 


135.458 
7.3 


101,292 

5.5 


120.521 
6.5 


117.621 
6.3 


103.690 
5.6 


89,007 
4.8 


Jther  assaults 

-orgery  and  counterfeiting 

•raud 

imbezzlement 

itolen  property;  buying,  receiving, 

possessing.... 

Vandalism 

Veapons;  carrying,  possessing,  etc. , 

Prostitution  and  commercialized 
vice 


iex  offenses  (except  forcible  rape 
and  prostitution) 

)rug  abuse  violations 

jambling 

)fl'enses  against  family  and 
children    

)riving  under  the  influence 


.iquor  laws 

)runkenness 

)isorderly  conduct     

'agrancy  

^11  other  offenses  (except  traffic) 

'Uspicion 

rurfew  and  loitering  law 

violations 

Runaways 


539,898 

58,427 

154,862 

6,974 

95.190 
186,911 
135,014 


95.047 

65,068 

643,554 

19,948 

24,756 
871,710 

398,676 

589,442 

541.789 

30,184 

1,881.906 

10,321 

74,994 
106,047 


30,412 

894 

7,856 

131 

7,000 

38,858 

5,811 


181 

5,097 

8,265 

121 

732 
245 

7,655 

1,960 

22,941 

436 

62,742 

633 

20.159 
44,239 


83,250 

5.783 

17.200 

786 

25,680 
78,019 
22,498 


2.019 

10.560 

64.464 

786 

2,136 
13,115 

104,991 

17,308 

81,501 

1,937 

230,872 

2.102 

74,994 
106,047 


456,648 

52,644 

137,662 

6,188 

69,510 
108,892 
112,516 


93,028 

54,508 

579,090 

19,162 

22,620 
858,595 

293,685 

572,134 

460,288 

28.247 

1,651,034 

8.219 


2,551 

32 

188 

9 

302 

6,329 

237 


542 
132 

2 

176 
65 

199 
79 

1,832 
23 

6,371 
57 

744 
1,936 


8,188 

160 

1,854 

42 

1.336 

12,109 

1,072 


II 

1,408 

716 

15 

137 
22 

530 

188 

5,619 

65 

14.161 

134 

3.521 
7,858 


19,673 

702 

5,814 


5,362 

20,420 

4,502 


159 

3,147 

7,417 

104 

419 
158 

6,926 

1,693 

15,490 

348 

42,210 

442 

15.894 
34,445 


15,188 

844 

5,613 

67 

4,942 
12,443 
4,251 


270 

1.854 

11,038 

137 

463 
545 

14,130 
2,668 
13,980 

355 
37,833 

492 

16.335 
27,322 


17,995 

1,676 

1,368 

221 

6,589 
13,543 
5,666 


527 

1,814 

19,062 

219 

545 
3,514 

32,471 
4,738 
19,945 

541 
56,891 

526 

20,970 
23.947 


19,655 

2,369 

2,363 

367 

7,149 
13,175 
6,770 


1,041 

1,795 

26,099 

309 

396 
8,811 

50,735 

7,942 

24,635 

605 
73,406 

451 

17,530 
10.539 


18,443 

2,862 

3,799 

379 

7,036 
10,117 
7,440 


2,551 

1,871 

32,401 

285 

781 
19,801 

61,985 
13,787 
26,767 
1,231 
85,666 
406 


19,582 

3,169 

5,111 

433 

6,320 
8,558 
7,059 


4,056 

1.950 

34,097 

296 

768 
25,702 

53,674 
15,348 
27,022 
1,278 
90,522 
452 


371,617 
4.4 


637 

1,026 

5,831 

9,018 

13,359 

41,324 

5,581 

329 


16,512 
44 

60.593 
4.1 


77,105 
4.2 


20,486 

3,005 

5,723 

457 

4,957 
7,279 
6,397 


4,477 

2,047 

33,413 

330 

811 
30,501 

39,387 
16.502 
27.028 
1,009 
90.311 
392 


See  footnotes  at  end  of  table. 


187 


Table  41.  —  City  Arrests,  Distribution  by  Age,  1987  —  Continued 


Offense  charged 


Age 


22 


23 


25-29 


30-34 


35-3° 


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  cnme^ 

Percent  distribution' 

Crime  Index  total* 

Percent  distribution' 

Other  assaults 

Forgery  and  counterfeiting 

Fraud  

Embezzlement 

Stolen  property;  buying,  receiving, 

possessmg 
Vandalism 
Weapons;  carrying,  possessing,  etc. 

Prostitution  and  commercialized 
vice 

Sex  offenses  (except  forcible  rape 
and  prostitution) 

Drug  abuse  violations 

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 


369,612 
4.4 


637 

1,010 

5,839 

9,762 

12,066 

37,832 

5,006 

297 


17,248 

4.6 

55,201 

3.7 


72,449 
3.9 


23,054 

3,008 

6,605 

390 

4,693 
7,141 
6,499 


5,831 

2,116 

35,188 

384 

989 
39,367 

15,527 
21,950 
29,294 
1,061 
93,630 
436 


363,362 
4.3 


358,838 
4.3 


351,188 
4.2 


1,508,801 
18.0 


1,076,180 
12.8 


681,257 
8.1 


389,635 
4.6 


232,328 
2.8 


149,713 
1.8 


103,369 
1.2 


638 

1,072 

5,477 

9,919 

11,207 

35.685 

4.426 

329 


587 

1,048 

5,238 

10,078 

10,437 

34.111 

4,023 

381 


576 

1,068 

5,121 

10,122 

9,677 

32,809 

3,598 

324 


2,295 

4,880 

20,204 

46,883 

39,441 

144,444 

13,826 

1,279 


1,717 

3,429 

11,997 

34,916 

25,380 

112.208 

8,438 

1,026 


1,120 

2,062 

5,908 

22,013 

12,725 

72,417 

4,346 

709 


651 

1,164 

2,340 

12,899 

5,489 

38,920 

1,995 

410 


369 

603 

976 

7,435 

2,443 

22,788 

886 

246 


224 
323 
432 

4,461 
1,170 

15,784 
467 
163 


173 
251 
244 
2,799 
612 
12,135 
222 
109 


17,106 

4.5 

51,647 

3.5 


16,951 
4,5 

48,952 
3.3 


16,887 
4.5 

46,408 
3.1 


74,262 

19.6 

198,990 

13.5 


52,059 

13.8 

147,052 

10.0 


31,103 
8.2 

90,197 
6.1 


17,054 
4.5 

46,814 
3.2 


9,383 

2.5 

26,363 

1.8 


5,440 

1.4 

17,584 

1.2 


3,467 

.9 

13,078 

.9 


68,753 
3.7 


65,903 
3.6 


63,295 

3,4 


273,252 
14.7 


199,111 
10.7 


121,300 
65 


63,868 
3.4 


35,746 
1.9 


23,024 
1.2 


16,545 
.9 


23,971 

2,923 

6,704 

360 

4,048 
6,502 
6,256 


6,625 

2,280 

35,301 

442 

1,051 
40,970 

12,379 
22,005 
28,735 
1,081 
92,541 
435 


24,668 

3,043 

7,307 

335 

3,744 
6,236 
6,164 


6,754 

2,396 

35,202 

444 

1,058 
43,103 

10,760 
22,323 
26,902 
1,039 
91,045 
412 


24,633 

2,902 

7,153 

313 

3,538 
5,938 
5,831 


6,305 

2,358 

34,556 

496 

1,093 
43,522 

9,337 
22,672 
26,145 

976 
89,680 

445 


113,252 

12,587 

32,271 

1,422 

14,377 
24,236 
23,777 


27,130 

11,407 

147,288 

2,665 

5,211 
196,068 

31,275 
110,388 
102,913 

5,331 
372,017 

1,934 


79,003 

9,146 

25,253 

861 

9,417 
15,206 
16,611 


15,299 

9,299 

97,100 

2,600 

4,294 
143,109 

20271 

93,954 

66,945 

4,733 

262,424 

1,544 


47,771 

5.277 

17,322 

583 

5,549 
8,428 
10,488 


7.006 

6,507 
52,655 
2,395 

3,027 
97,950 

13,617 

71,606 

40,634 

3,966 

164,279 

897 


26,558 

2,430 

9,645 

295 

2,676 
4,247 
6,342 


3,157 

4,277 

22,705 

2,141 

1.690 
64,932 

8,751 
49,929 
23,042 

2,425 

90,136 

389 


14,686 

1,050 

4,849 

161 

1,444 
2,097 
3,729 


1,578 

2,669 

10,005 

1,882 

813 
42,080 

6,082 
36,292 
13,430 

1,527 

51,991 

217 


8,573 

601 

2,514 

87 

755 
1,261 
2,281 


1.709 
4,721 
1,646 

454 
28,276 

4,216 

27,885 

8,427 

1,038 

31.254 

123 


5,219 

306 

1,580 

58 

446 

704 

1,546 


621 

1,451 
2,390 
1,160 

282 
19,868 

3,005 

21,464 

5,651 

758 

20,257 

58 


65,94« 


90 

147 

95 

1,808 

321 

8,962 

73 

70 


2,140 
.6 

9.426 
.6 


11.566 
.6 


3.285 

169 

875 

28 

286 
416 
993 


388 

998 

1,149 

913 

132 
12,721 

1,888 

13,934 

3,733 

433 

12,003 

38 


1,173 

915 

1,08; 

16( 

10,62; 

1,53; 

12,09; 
3,62( 

36; 

13,271 


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

^Violent  cnmes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault. 
"'Property  crimes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson. 
'Includes  arson. 


188 


Table  42.  — City  Arrests  of  Persons  under  15,  18,  21,  and  25  Years  of  Age,  1987 

[7,222  agencies;   1987  eslimaled  populadon   138,128,000] 


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'... 
Properly  crime^. 


Crime  Index  total' 


Other  assaults 

Forgery  and  counterfeiting 

Fraud 

Embezzlement 

Stolen  property;  buying,  receiving,  possessing.. 

^Vandalism 

Weapons;  carrying,  possessing,  etc 


Prostitution  and  commercialized  vice 

iSex  offenses  (except  forcible  rape  and  prostitution) . 

Drug  abuse  violations 

pambling 

Dffenses  against  family  and  children 

Driving  under  the  influence 


Liquor  laws 

Drunkenness 

t)isorderly  conduct 

ii'agrancy 

Wl  other  offenses  (except  traffic) .... 

iUspicion  

Curfew  and  loitering  law  violations. 

.unaways 


8,385,115 


12.580 

24.  U3 

108.461 

233.049 

278.660 

1.068.714 

117.418 

11.382 


378.223 
1,476.174 


1,854.397 


539.898 
58,427 

154.862 

6.974 

95.190 

186.911 

135.014 

95.047 
65.068 

643.554 
19,948 
24,756 

871,710 

398,676 

589,442 

541,789 

30,184 

1,881,906 

10.321 

74.994 

106.047 


480,882 


1,499,996 


2,667,315 


4,110,315 


5.7 


17.9 


172 

1.397 

6,778 

9,287 

37,096 

144,865 

11,778 

3,141 


1,322 

4,015 

25,350 

31,741 

99,251 

338,972 

48,427 

4,870 


3,344 

6.936 

44.487 

58.096 

147,348 

487,546 

70,004 

5,989 


5,782 

11,134 

66.162 

97,977 

190,735 

627,983 

87,057 

7.320 


1.4 
5.8 
6.2 
4.0 
13.3 
13.6 

lao 

27.6 


10.5 
16.6 
23.4 
13.6 
35.6 
31.7 
41.2 
42.8 


17,634 
196,880 


62,428 
491.520 


112.863 
710.887 


181,055 
913,095 


4.7 
13.3 


16.5 
33.3 


214,514 


553.948 


823.750 


1.094,150 


11,6 


29.9 


30.412 

894 

7.856 

131 

7,000 

38,858 

5.811 

181 
5,097 
8,265 
121 
732 
245 

7.655 

1.960 

22.941 

436 

62.742 

633 

20.159 

44,239 


83,250 

141,761 

5,783 

14,819 

17,200 

31,833 

786 

2,055 

25,680 

43,993 

78,019 

103,973 

22,498 

43,394 

2.019 

13,103 

10,560 

16,428 

64.464 

164,375 

786 

1.697 

2.136 

4,496 

13.115 

89,119 

104.991 

260.037 

17.308 

62.945 

81.501 

162.318 

1.937 

5.455 

230.872 

497.371 

2.102 

3.352 

74.994 

74,994 

106,047 

106,047 

238.087 

26.695 

59.602 

3.453 

60.016 

129,790 
68,144 

38,618 

25,578 

304,622 

3,463 

8,687 

256,081 

308,040 

151,895 

273,394 

9,612 

864.267 

5,080 

74,994 

106,047 


5.6 
1.5 
5.1 
1.9 
7.4 
20.8 
4.3 

.2 
7.8 
1.3 

.6 
3.0 
(') 

1.9 

.3 

4.2 

1.4 

3.3 

6.1 

26.9 

41,7 


15.4 
9.9 
11.1 
11.3 
27.0 
41.7 
16.7 

2.1 
16.2 
10.0 
3.9 
8.6 
1.5 

26.3 

2.9 

15.0 

6.4 

12.3 

20.4 

100.0 

100,0 


31.8 


26,6 
28.7 
41.0 
24.9 
52.9 
45.6 
59.6 
52.6 


29.8 
48.2 


26.3 
25.4 
20.6 
29.5 
46,2 
55,6 
32,1 

13,8 
25,2 
25.5 
8.5 
18.2 
102 

65.2 
107 
30.0 
18.1 
26.4 
32.5 
100.0 
100.0 


49.0 


46.0 
46.1 
61.0 
42.0 
68.4 
58.8 
74.1 
64.3 


47.9 
61.9 


59.0 


44.1 

45.7 
38.5 
49.5 
63.0 
69,4 
50,5 

40,6 
39,3 
47.3 
17.4 
35.1 
29.4 

77.3 
25.8 
50.5 
31.8 
45.9 
49.2 
100.0 
100,0 


'Violent  cnmes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault 
^Property  crimes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson, 
^Includes  arson, 
*Less  than  one-tenth  of  1  percent. 


189 


Table  43. —  City  Arrests,  Distribution  by  Sex,  1987 

[7,222  agencies;   1987  estimated  population   138,128.000) 


OfFense  charged 


Number  of  persons  arrested 


Total 


Male 


Female 


Percent 
male 


Percent 
female 


Percent  distnbution 


Total 


Male 


Female 


TOTAL 

Murder  and  nonnegligent  manslaughter 

Forcible  rape 

Robbery     

Aggravated  assault 

Burglary 

Larceny-theft         

Motor  vehicle  theft 

Arson 

Violent  cnme^ 

Property  crime* 


Crime  Index  total 


Other  assaults 

Forgery  and  counterfeiting 

Fraud 

Embezzlement  

Stolen  property;  buying,  receiving,  possessing. 

Vandalism 

Weapons:  carrying,  possessing,  etc 


Prostitution  and  commercialized  vice  

Sex  offenses  (except  forcible  rape  and  prostitution) . 

Drug  abuse  violations 

Gambling         

Offenses  against  family  and  children 

Dnving  under  the  influence 


Liquor  laws 

Drunkenness 

Disorderly  conduct 

Vagrancy  

All  other  offenses  (except  traffic)  .... 

Suspicion         

Curfew  and  loitering  law  violations  . 
Runaways  


8,385,115 


12,580 

24,133 

108.461 

233,049 

278,660 

1,068.714 

117,418 

11,382 


378,223 
1.476.174 


1.854.397 


539.898 
58.427 

154.862 

6.974 

95.190 

186.911 

135,014 

95,047 
65,068 

643,554 
19,948 
24,756 

871,710 

398,676 

589,442 

541.789 

30.1 

1.881.906 

10.321 

74,994 

106,047 


6,876,652 


1,508.463 


82.0 


18.0 


11,021 

23,849 

99,653 

200,950 

255,974 

730,853 

106,232 

9,800 


1,559 

284 

8.808 

32.099 

22.686 

337.861 

11.186 

1.582 


87.6 
98.8 
91.9 
86.2 
91.9 
68.4 
90.5 
86.1 


12.4 
1.2 
8.1 

13.8 
8.1 

31.6 
9.5 

13.9 


335.473 
1.102.859 


42,750 
373,315 


88.7 
74.7 


11.3 
25.3 


1.438.332 


416.065 


77.6 


22.4 


458,344 
38.224 
93,891 
4,102 
84,027 
166,964 
124.301 

33.450 
59.382 

548.887 
17.310 
18.456 

764.866 

328,651 

535,377 

439,108 

26,868 

1.586.285 

8.764 

56,363 

44,700 


81,554 
20,203 
60.971 
2.872 
11.163 
19.947 
10.713 

61.597 
5.686 

94.667 

2.638 

6.300 

106.844 

70.025 

54.065 

102,681 

3,316 

295,621 

1,557 

18,631 

61,347 


84.9 
65.4 
60,6 
58.8 
88.3 
89.3 
92.1 

35.2 
91.3 
85.3 
86.8 
74.6 
87.7 

82.4 
90.8 
81.0 
89.0 
84.3 
84.9 
75.2 
42.2 


15.1 
34.6 
39.4 
41,2 
11.7 
10.7 
7.9 

64.8 
8.7 
14.7 
13.2 
25.4 
12.3 

17.6 
9.2 
19.0 
11.0 
15.7 
15.1 
24.8 
57.8 


100.0 


.2 

.3 

1.3 

2.8 

3.3 

12.7 

1.4 

.1 


4.5 
17.6 


22.1 


6.4 

.7 
1.8 

.1 
1.1 
2.2 
1.6 

1.1 
.8 
7.7 
.2 
.3 
10.4 

4.8 

7.0 

6.5 

.4 

22.4 

.1 

.9 

1.3 


100.0 


.2 

.3 

1.4 

2.9 

3.7 

10.6 

1.5 

.1 


4.9 
16.0 


20.9 


6.7 
.6 
1.4 
.1 
1.2 
2.4 
1.8 

.5 
.9 

8.0 

.3 

.3 

11.1 

4.8 
7.8 
6.4 

.4 
23.1 

.1 


100.0 


.1 

.6 

2.1 

1.5 

22.4 

.7 

.1 


2.8 
24.7 


27.6 


5.4 
1.3 
4.0 
.2 
.7 
1.3 
.7 

4.1 
.4 

6.3 
.2 
.4 

7.1 

4.6 
3.6 
6.8 

.2 
19.6 

.1 
1.2 
4.1 


'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. 


190 


Table  44. —  City  Arrests,  Distribution  by  Race,  1987 

[7,187  agencies;  1987  estimated  population   137.831.000] 


Offense  charged 


Total  arrests 


Total 


White 


Black 


American 
Indian 


Alaskan 
Native 


Asian 


Pacific 
Islander 


Percent  distribution' 


Total 


White 


Black 


American 
Indian 


Alaskan 
Native 


Pacific 
Islander 


TOTAL 

Murder  and  nonnegligent  manslaughter 

Forcible  rape  

Robbery       

Aggravated  assault 

Burglary      

Larceny-theft 

Motor  vehicle  theft 

Arson 

Violent  crime^ 

Property  cnme^ 

Cnme  Index  total*  

Other  assaults 

Forgery  and  counterfeiting 

Fraud 

Embezzlement 

Stolen  property;  buying,  receiving,  possessing 

'Vandalism 

'Weapons;  carrying,  possessing,  etc 

IProstitution  and  commercialized  vice 
!Sex  offenses  (except  forcible  rape  and 

prostitution) 

(Drug  abuse  violations 

Gambling 

Offenses  against  family  and  children 

iDriving  under  the  infiuence 

'Liquor  laws    

Drunkenness 

Disorderly  conduct 

Vagrancy    

All  other  ofTenses  (except  trafTic) 

Suspicion  

Curfew  and  loitering  law  violations 

Runaways 


8,362,736 


5,462,663 


2,740,348 


93,914 


65,811 


100.0 


6S.3 


12.554 

24,089 

108.342 

232.123 

278.166 

1.067.174 

117,279 

11,353 


4,714 

10,743 

36,323 

125,208 

174.523 

687.816 

64.530 

7.861 


7.622 

13.020 

70.831 

103.205 

99.327 

354.944 

50.530 

3,293 


87 

181 

501 

2.073 

2.201 

12.333 

1.022 

107 


131 

145 

687 

1,637 

2,115 

12,081 

1.197 

92 


100,0 
100,0 
100,0 
100,0 
100,0 
100,0 
100,0 
100,0 


37,5 
44,6 
33.5 
53,9 
62,7 
64.5 
55,0 
59,2 


377,108 
1,473,972 


176.988 
934.730 


194.678 
508,094 


2,842 
15,663 


2.600 
15,485 


100,0 
100,0 


46.9 
63.4 


1,851.080 


1.111.718 


702.772 


18.505 


18.085 


100,0 


60.1 


539,168 
58.257 

154.733 

6,961 

94,913 

186,373 

134,714 

95,008 

64.960 

642.117 

19.915 

24.346 

867.546 

397,610 

587,334 

540,310 

30.139 

1.876.928 

10,292 

74,550 

105,382 


313,906 

36,678 

96,252 

4,540 

52.868 

135.232 
76.558 

54.473 

48,094 

383,155 

7.308 

15.108 
754.507 

342.915 

453.074 

331,643 

17,680 

1,082.775 

4.748 

53.434 

85.896 


214,936 
20,914 
55,958 
2,242 
41.053 
47,715 
56,333 

39,240 

15,686 

253,845 

11,440 

8,385 

97,167 

42.270 
118.153 
199.800 

11.559 

757,880 

5,452 

19,607 

16.921 


5.202 

330 

549 

28 

473 

1.898 
751 

438 

704 

2,109 

8 

377 
9,542 

10.112 

14.704 

6.400 

822 

18,104 

16 

755 

1,087 


4.124 

335 

974 

51 

519 

1,528 

1.072 

857 

476 
3.008 
1.159 

476 
5,430 

2.312 

1.403 

2.467 

68 

18.159 

56 

754 

1,478 


1000 
100.0 
100,0 
100,0 
100,0 
100,0 
100,0 

100.0 

1000 
100,0 
100,0 
100,0 
100,0 

100,0 
1000 
100  0 
100,0 
100,0 
1000 
1000 
100,0 


58,2 
63,0 
52,2 
66,7 
55,7 
72.5 
56  8 

57.3 

74,0 
59,7 
367 
62,1 
87,0 

85.2 
77,1 
61,4 
58,7 
57,7 
461 
71.7 
81,5 


32.8 


60.7 
54.0 
65.4 
44.5 
35.7 
33.3 
43,1 
29,0 


51.6 
34,5 


38,0 


39.9 
35.9 
368 
32,2 
43,3 
25,6 
41  8 

41.3 

24.1 
39.5 
57.4 
34.4 
11,2 

106 
201 
37,0 
38,4 
40.4 
53.1 
263 
16.1 


1.1 


1.0 


1.2 
.5 
.4 
.4 
.5 

1.0 
.5 


1.1 
.3 
(') 
1.5 
1.1 

2.5 
2.5 
1.2 
2.7 
1.0 
.2 
1,0 
1,0 


1,0 
,6 
,6 
,7 
.8 
1.1 
1.0 


,7 
1.1 


1.0 


,7 

,5 

5.8 

2,0 

.7 

.6 

.2 
,5 
.2 
1.0 
.6 
1.0 
1.4 


See  footnotes  al  end  of  table. 


191 


Table  44. —  City  Arrests,  Distribution  by  Race,  1987  —  Continued 


Offense  charged 


Arrests  under  18 


Total 


White 


Black 


Ainerican 
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  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 


1,494,434 


1.321 

4,006 

25,321 

31,520 

99,003 

338,404 

48,341 

4,860 


62.168 
490,608 


552,776 


82.930 

5,765 

17,197 

785 

25,626 
77,810 
22,471 

2,018 

10,536 

63,758 

786 

1,973 

13,027 

104,610 

17,245 

81,373 

1,927 

229,788 

2,101 

74,550 

105,382 


1,043,176 


419,158 


13,307 


18,793 


100.0 


69.1 


482 

1,526 

7,421 

16,010 

69,553 

235,973 

26,864 

3,898 


2.441 
17,544 
15,019 
27.504 
93,302 
20,249 
858 


9 
15 
94 

241 

811 

3,713 

471 

43 


22 

24 

262 

250 

1,135 

5,416 

757 

61 


100.0 
100.0 
100.0 
100.0 
100,0 
100.0 
100.0 
100.0 


36.5 
38.1 
29.3 
50.8 
70.3 
69.7 
55.6 
80.2 


25,439 
336,288 


35,812 
141,913 


359 
5,038 


558 
7.369 


100.0 
100.0 


40.9 
68.5 


361.727 


177,725 


5.397 


7.927 


100.0 


65.4 


47.809 

4.586 

8,038 

540 

14,822 
61,801 
13,694 

1,195 

7,079 

38,904 

152 

1,452 
12,384 

98,355 
15,806 
54,454 

1,604 
157,733 

1,711 
53,434 
85,896 


33,474 

1,090 

8,774 

238 

10,466 
14,574 
8,377 

788 

3.310 

24.091 

582 

494 

422 

3,857 

1.119 

26,142 

284 

66,444 

379 

19,607 

16,921 


573 

1,074 

100.0 

39 

50 

100,0 

48 

337 

100.0 

2 

5 

100.0 

135 

203 

100.0 

579 

856 

100.0 

100 

300 

100.0 

24 

69 

270 

16 
140 

1,918 

272 

448 

19 

1,413 

3 

755 

1,087 


78 
493 
52 
11 
81 

480 

48 

329 

20 

4,198 

8 

754 

1,478 


100.0 

100.0 
100.0 
100.0 
1000 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


57.6 
79.5 
46,7 
68 

57.8 
79.4 
60.9 

59.2 

67.2 
61.0 
193 
73.6 
95.1 

94.0 
91.7 
66.9 
83,2 
68.6 
81.4 
71.7 
81.5 


28.0 


61.2 
60  9 
69.3 
47.6 
27.8 
27.6 
41.9 
17.7 


57.6 
28.9 


32.2 


40.4 
18.9 
51.0 
30.3 

40.8 
18.7 
37.3 

39.0 

31.4 

37.8 

74.0 

25.0 

3.2 

3.7 
6.5 
32.1 
14.7 
28.9 
18.0 
26.3 
16.1 


1.0 


1.2 


1.3 


1.7 
.6 
1.0 
.8 
l.I 
1.6 
1.6 
1.3 


.9 

1.5 


1.4 


1.3 
.9 

2.0 
.6 


1.1 
1.3 


.7 
.8 
6.6 
.6 
.6 

.5 
.3 

.4 
1.0 
1.8 

.4 
1.0 
1.4 


See  footnotes  at  end  of  table. 


192 


Table  44.  —  City  Arrests,  Distribution  by  Race,  1987  —  Continued 

OfTense  charged 

Arrests  18  and  over 

Percent  distribution' 

American 
Indian 

Asian 

American 
Indian 

Asian 

Total 

White 

Black 

or 
Alaskan 
Native 

Pacific 
Islander 

Total 

White 

Black 

or 
Alaskan 
Native 

Pacific 
Islander 

TOTAL 

6,868,302 

4,419,487 

2,321,190 

80,607 

47,018 

100.0 

64.3 

33.8 

1.2 

.7 

Murder  and  nonnegligent  manslaughter 

11,233 

4,232 

6,814 

78 

109 

100.0 

37.7 

60.7 

.7 

1.0 

20,083 

9.217 

10,579 

166 

121 

100.0 

45.9 

52.7 

.8 

.6 

Robbery 

83,021 

28.902 

53,287 

407 

425 

100.0 

34.8 

64.2 

.5 

.5 

200,603 

109.198 

88,186 

1,832 

1.387 

100.0 

54.4 

44.0 

.9 

.7 

Burglary 

179,163 

104.970 

71,823 

1,390 

980 

100.0 

58.6 

40.1 

.8 

.5 

728,770 

451.843 

261,642 

8,620 

6.665 

100.0 

62.0 

35.9 

1.2 

.9 

68,938 
6,493 

37.666 
3.963 

30,281 
2,435 

551 
64 

440 
31 

100.0 
100.0 

54.6 
61.0 

43.9 
37.5 

.8 
1.0 

.6 

.5 

314,940 
983,364 

151,549 
598,442 

158.866 
366.181 

2,483 
10,625 

2,042 
8,116 

100.0 
100.0 

48.1 
60.9 

50.4 
37.2 

.8 
1.1 

.6 

Property  crime' 

.8 

1,298,304 

749,991 

525.047 

13.108 

10,158 

100.0 

57.8 

40.4 

1.0 

.8 

Other  assaults 

456.238 

266,097 

181.462 

5.629 

3,050 

100.0 

58.3 

39.8 

1.2 

.7 

52,492 

32,092 

19.824 

291 

285 

100.0 

61.1 

37.8 

.6 

.5 

Fraud 

137,536 
6,176 

88,214 
4,100 

48.184 
2,004 

501 
26 

637 
46 

100.0 
100.0 

64.1 
66.4 

35.0 
32.4 

.4 
.4 

.5 

Embezzlement       

.7 

Stolen  property;  buying,  receiving, 

69,287 

38,046 

30,587 

338 

316 

lOO.O 

54.9 

44.1 

.5 

.5 

108.563 
1 12.243 

73,431 
62,864 

33,141 
47,956 

1,319 
651 

672 
772 

100.0 
100.0 

67.6 
56.0 

30.5 
42.7 

1.2 
.6 

.6 

.7 

92,990 

53,278 

38,452 

414 

846 

100.0 

57.3 

41.4 

.4 

.9 

Sex  offenses  (except  forcible  rape  and 

54.424 

41.015 

12.376 

635 

398 

lOO.O 

75.4 

22.7 

1.2 

.7 

578.359 

344.251 

229.754 

1.839 

2,515 

100.0 

59.5 

39.7 

.3 

.4 

19,129 

7.156 

10.858 

8 

1.107 

100.0 

37.4 

56.8 

(') 

5.8 

Dffenses  against  family  and  children 

22,373 

13.656 

7.891 

361 

465 

100.0 

61.0 

35.3 

1.6 

2.1 

854,619 

742.123 

96.745 

9.402 

6.349 

100.0 

86.8 

11.3 

1.1 

.7 

Liquor  laws                    

293,000 

244,561 

38,413 

8.194 

1.832 

100.0 

83.5 

13.1 

2.8 

.6 

570,089 

437,268 

117,034 

14.432 

1.355 

100.0 

76.7 

20.5 

2.5 

.2 

458.937 

277,189 

173,658 

5,952 

2,138 

100.0 

60.4 

37.8 

1.3 

.5 

/agrancy          

28.212 

16.076 

11,285 

803 

48 

100.0 

57.0 

40.0 

2.8 

.2 

\ll  other  offenses  (except  traffic) 

1.647.140 

925.042 

691,436 

16,691 

13,971 

100.0 

56.2 

42.0 

1.0 

.8 

8,191 

3,037 

5,083 

13 

58 

100.0 

37.1 

62.1 

.2 

.7 

'Because  of  rounding,  the  percentages  may 

not  add  to  to 

tal 

^Violent  crimes  are  offenses  of  murder,  fore 

ble  rape,  rob 

3ery,  and  agg 

ravated  assaul 

1. 

^Property  crimes  are  offenses  of  burglary,  Is 

rccny-Ihefl,  n- 

otor  vehicle 

heft,  and  ars 

jn. 

*Includcs  arson. 

'Less  than  one-tenth  of  1  percent. 

193 


Table  45.  — Suburban  County  Arrest  Trends,  1986-1987 

[992  agencies;   1987  estimated  population  36,787,000] 


Offense  charged 


Number  of  persons  arrested 


Total  all  ages 


1986 


1987 


Percent 
change 


Under  18  years  of  age 


1986 


1987 


Percent 

change 


18  years  of  age  and  over 


1986 


1987 


Percent 
change 


TOTAL 

Murder  and  nonnegligent  manslaughter 
Forcible  rape 

Robbery 

Aggravated  assault 

Burglary 

Larceny-theft 

Motor  vehicle  theft 

Arson  

Violent  crime' 

Property  crime^  


Cnme  Index  total^. 


Other  assaults 

Forgery  and  counterfeiting 

Fraud.  

Embezzlement     

Stolen  property;  buying,  receiving,  possessing  . 

Vandalism  

Weapons;  carrying,  possessing,  etc.   . 


Prostitution  and  commercialized  vice 
Sex  offenses  (except  forcible  rape  and 

prostitution)  

Drug  abuse  violations 

Gambling         

Offenses  against  family  and  children... 
Dnving  under  the  influence 

Liquor  laws  

Drunkenness  

Disorderly  conduct 

Vagrancy       

All  other  offenses  (except  traffic) 

Suspicion  (not  included  in  totals) 
Curfew  and  loitering  law  violations 
Runaways  


1,409.157 


2,590 
4,665 

13.340 
44.745 
61,183 
128.051 
18,787 
2.319 


65.340 
210.340 


275.680 


5,703 


1,471,280 


2.507 

4.443 

11.221 

43,886 

58.567 

130.472 

20.118 

2.196 


62.057 
211,353 


273.410 


77.122 

78,822 

11,026 

11,551 

74,153 

71,631 

2,549 

2,337 

14,580 

15,790 

25,329 

25,465 

19,932 

20,132 

5,028 


13,079 

12.947 

89,758 

106.626 

2.444 

1.778 

13,449 

12,808 

300,879 

305.105 

46.289 

51.117 

63,754 

63.803 

31,397 

31.089 

1.408 

1,700 

318.695 

358,484 

505 

678 

1.181 

1.239 

20.750 

20.418 

+4.4 


I89,24« 


187,361 


-1.0 


1.219,911 


-3.2 
^.8 
-15,9 
-1.9 
^.3 
+  19 
+7,1 
-5,3 


154 

617 

2.014 

5.066 

22.007 

37.368 

6.675 

361 


178 

634 

1.895 

5,239 

20,967 

36,575 

7.032 

848 


+  15.6 
+  2.8 
-5,9 
+3.4 
-A.l 
-2.1 
+  5.3 
-1.5 


2.436 
4,048 
11,326 
39,679 
39,176 
90,683 
12,112 
1,458 


-5.0 
+  5 


7,851 
66,911 


7.946 
65,422 


+  1.2 
-2.2 


57,489 
143,429 


74,762 


73.368 


-1.9 


200.918 


+2,2 
+4,8 
-3.4 
-8.3 
+8.3 
+  .5 
+  1,0 

-11,8 

-1,0 

+  18.8 

-27.3 

-t.8 

+  1,4 

+  10,4 

+  1 

-1-0 

+  20,7 

+  12,5 

+34,3 

+4,9 

-1,6 


10.869 

805 

822 

115 

2,686 

11,049 

2,488 

80 

2,102 

7.771 

50 

165 

3,634 

13.874 

2.137 

4.725 

337 

28.844 

206 

1.181 

20,750 


10,782 

779 

793 

100 

2.927 

10.902 

2.445 

75 

1.963 

8.074 

31 

203 

3.245 

14.393 

1.736 

4,428 

404 

29,056 

351 

1,239 

20,418 


-3.2 
-3.5 
-13.0 
+9.0 
-1.3 
-1.7 

-6,3 

-6.6 

+  3.9 

-38.0 

+23.0 

-10.7 

+3.7 
-1 

-6,3 

+  19,9 

+  ,7 

+  704 

+4,9 

-1.6 


66,253 
10,221 
73,331 
2.434 
11.894 
14.280 
17,444 

5,623 

10,977 

81,987 

2,394 

13,284 

297,245 

32,415 

61,617 

26.672 

1,071 

289,851 

299 


1,283,919 


2,329 

3,809 

9,326 

38,647 

37.600 

93.897 

13.086 

1,348 


54.111 
145,931 


200.042 


68,040 
10.772 
70,838 
2.237 
12.863 
14.563 
17,687 

4,953 

10,984 

98,552 

1,747 

12,605 

301,860 

36,724 

62,067 

26,661 

1,296 

329,428 

327 


+5.2 


-4.4 
-5.9 
-17,7 
-2,6 
^,0 
+  3,5 
+8.0 
-7.5 


-5.9 
+  1.7 


+2.7 
+5.4 
-3.4 
-8.1 
+8.1 
+2.0 
+  1.4 

-11.9 

+.1 

+  202 

-27,0 

-5,1 

+  1.6 

+  13.3 
+.7 

4 

+21.0 

+  13.7 

+9.4 


'Violent  crimes  are  ofTenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault. 
^Property  crimes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson, 
'includes  arson 
■"Less  than  Vio  of  one  percent. 


194 


Table  46.  — Suburban  County  Arrest  Trends,  Sex,  1986-1987 

[992  agencies;   1987  eslimated  population  36.787.000) 


Offense  charged 


Males 


Total 


1986 


1987 


Percent 
change 


Under  18 


1986 


1987 


Percent 
change 


Females 


Total 


1986 


1987 


Percent 
change 


Under  18 


1986 


1987 


Percent 
change 


TOTAL  . 


Murder  and  nonnegligent 

manslaughter 
Forcible  rape 
Robbery 

Aggravated  assault 

Burglary    

Larceny-theft   

Motor  vehicle  theft  

Arson 


Violent  cnme'     . 
Property  crime^.. 


Crime  Index  total 


1,167,601 


1,213,777 


+4.0 


146,974 


145,143 


-1.2 


241,556 


257,503 


+6.6 


42,272 


2,298 
4,609 
12.406 
39,540 
56,589 
91.170 
17,028 
2.009 


58,853 
166,796 


225,649 


Other  assaults      

Forgery  and  counterfeiting 

Fraud  

Embezzlement 

Stolen  property;  buying,  receiving, 

possessing 

Vandalism 

Weapons;  carrying,  possessing,  etc. 

Prostitution  and  commercialized  vice 
Sex  offenses  {except  forcible  rape 

and  prostitution) 

Drug  abuse  violations 

Gambling  

Offenses  against  family  and  children 
Dnving  under  the  influence 

Liquor  laws 

Drunkenness     

Disorderly  conduct 

Vagrancy 

All  other  offenses  (except  traffic) 

Suspicion  (not  included  in  totals) 

Curfew  and  loitering  law  violations 
Runaways 


65,403 
7,270 

37,622 
1,705 

12,987 
22,808 
18,528 

2,187 

12,391 

75,479 

2,109 

12,382 

266,922 

37,406 

57,449 

26,528 

1,226 

271,464 

435 

854 

9.232 


2,192 
4,398 
10,369 
38,665 
53,946 
91,160 
18,072 
1,921 


^.6 
^.6 
-16.4 
-2.2 
-4.7 
(') 
+6.1 
^.4 


147 

603 

1,889 

4,387 

20.296 

28.028 

5.929 

756 


154 

621 

1.779 

4.499 

19.414 

27.075 

6.217 

766 


+4.8 
+  3.0 
-5,8 
+2.6 
^.3 
-3.4 
+4.9 
+  1.3 


292 

56 

934 

5,205 

4,594 

36.881 

1.759 

310 


315 

45 

852 

5.221 

4,621 

39,312 

2,046 

275 


+7.9 

-19.6 

-8.8 

+.3 

+.6 

+66 

+  16.3 

-11.3 


7 

14 

125 

679 

1.711 

9,340 

746 

105 


55.624 
165,099 


-5.5 
-1.0 


7.026 
55.009 


7,053 
53.472 


+.4 
-2.8 


6,487 
43.544 


6.433 
46.254 


+6.2 


825 
11.902 


220.723 


-2.2 


62.035 


60,525 


-2.4 


50,031 


52,687 


+5.3 


12,727 


66,929 
7.592 

36.740 
1.553 

14.016 
22,841 
18.792 

1.842 

12.213 

89.153 

1.483 

11.644 

270.468 

40,890 

57,377 

25,970 

1,360 

302,066 

608 

926 

9.199 


+  2.3 
+4.4 
-2,3 
-8,9 

+7,9 

+  1 

+  1,4 

-158 

-1,4 

+  18,1 

-29,7 

-6,0 

+  1,3 

+9,3 

-I 

-2,1 

+  10.9 

+  11.3 

+39.8 

+  8.4 

-.4 


8.546 

529 

570 

77 

2,452 
10,057 
2,320 

19 

1,965 

6,521 

46 

132 

3,140 

10,028 

1,772 

3,807 

295 

22,577 

166 

854 

9,232 


8,482 
546 
514 

57 

2,703 
9,961 
2,316 

24 

1,851 

6,859 

29 

154 

2,784 

10,366 

1,451 

3,559 

332 

22,505 

308 

926 

9,199 


-.7 

+3.2 

-9.8 

-26.0 

+  10.2 
-1.0 


+26.3 

-5,8 

+  5,2 

-37,0 

+  167 

-11,3 

+3,4 

-18,1 

-6,5 

+  12,5 

-,3 

+85,5 

+  8,4 

-4 


11,719 

3,756 

36,531 

844 

1,593 
2,521 
1.404 

3.516 

688 
14.279 

335 

1.067 

33.957 

8.883 

6.305 

4.869 

182 

47.231 

70 

327 

11.518 


11.893 

3.959 

34.891 

784 

1.774 
2.624 
1.340 

3.186 

734 
17,473 

295 

1.164 

34.637 

10.227 

6426 

5.119 

340 

56.418 

70 

313 

11.219 


+  1,5 
+5.4 
^.5 
-7.1 

+  11.4 
+4.1 
^.6 

-9.4 

+6.7 
+22.4 
-11.9 
+9.1 
+2.0 

+  15.1 

+  1.9 

+5.1 

+86.8 

+  19.5 

-t.3 
-2.6 


2,323 

276 

252 

38 

234 
992 
168 

61 

137 

1,250 

4 

33 

494 

3,846 
365 
918 

42 

6.267 

40 

327 

11,518 


42.218 


24 

13 

116 

740 

1,553 

9,500 

815 

82 


893 
11.950 


12,843 


2,300 

233 

279 

43 

224 
941 
129 


112 

1,215 

2 

49 

461 

4.027 

285 

869 

72 

6.551 

43 

313 

11,219 


+242.9 
-7.1 
-7.2 
+9.0 
-9.2 
+  1.7 
+9.2 
-21.9 


+8.2 
+  .4 


-1.0 
-15.6 

+  10,7 
+  13,2 

-4.3 
-5.1 

-23.2 

-16.4 

-18.2 

-2.8 

-50.0 

+48.5 

-6.7 

+4.7 
-21.9 
-5.3 
+71.4 
+4.5 
+7.5 
^.3 
-2.6 


'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  1  percent. 


195 


Table  47.  —  Suburban  County  Arrests,  Distribution  by  Age,  1987 

[1.101  agencies;   1987  estimated  population  40,230,000] 


Offense  charged 


Total 
all 
ages 


Ages 

under 

15 


Ages 

under 

18 


Ages 
18  and 


Age 


Under 
10 


10-12 


13-14 


20 


TOTAL 

Percent  distribution' 

Murder  and  nonnegligent 

manslaughter 

Forcible  rape 

Robbery  

Aggravated  assault 

Burglary 

Larceny-theft 

Motor  vehicle  theft 

Arson 

Violent  crime"      

Percent  distribution' 

Property  crime"*      

Percent  distnbution' 

Crime  Index  total* 

Percent  distnbution' 

Other  assaults 

Forgery  and  counterfeiting 

Fraud  

Embezzlement 

Stolen  property;  buying,  receiving, 

possessing 

Vandalism 

Weapons;  carrying,  possessing,  etc 

Prostitution  and  commercialized  vice 
Sex  offenses  (except  forcible  rape  and 

prostitution)     

Drug  abuse  violations 

Gambling 

Offenses  against  family  and  children 
Dnving  under  the  influence 

Liquor  laws 

Drunkenness 

Disorderly  conduct 

Vagrancy 

All  other  offenses  (except  traffic) 

Suspicion  

Curfew  and  loitenng  law  violations.... 
Runaways         


1,589,226 
100.0 


2,760 

4,810 

12.366 

46.309 

63,461 

142.324 

21,283 

2.487 


66.245 

100.0 

229,555 

100.0 


295,800 
100.0 


85,503 

13,131 

78,517 

2,511 

17,381 
27.943 
21,570 

5,706 

14.240 

116.250 

2.053 

15,316 
328,182 

53,313 

68,851 

34,732 

2,017 

382.822 

718 

1.283 

21.387 


57,399 
3.6 


200,440 
12,6 


1,388,786 

87.4 


4,573 
,3 


12,995 


39,831 

2.5 


35,888 
2.3 


48,506 
3.1 


58,647 

37 


67,005 
4,2 


69,145 

4,4 


22 

213 

380 

1.688 

7,517 

14,059 

1.618 

536 


202 

684 

2,079 

5,493 

22,601 

39,134 

7,409 

930 


2,558 

4.126 

10,287 

40,816 

40,860 

103.190 

13,874 

1,557 


3 

11 

17 

195 

642 

1,077 

19 

142 


6 

45 

50 

417 

1,898 

3,756 

161 

151 


13 

157 

313 

1,076 

4,977 

9,226 

1,438 

243 


22 

154 

395 

888 

4,115 

6,925 

1,678 

134 


60 

164 

547 

1,268 

5,009 

8,894 

2,124 

131 


98 

153 

757 

1,649 

5.960 

9,256 

1,989 

129 


135 

179 

870 

1,489 

5.181 

8.426 

1,616 

99 


131 

166 

824 

1,618 

4,192 

7,066 

1,309 

98 


2,303 

3.5 

23,730 

103 


8,458 

12.8 

70.074 

30,5 


57,787 

87.2 

159,481 

69.5 


226 

.3 

1,880 


518 


5,966 
2.6 


1,559 

2.4 

15,884 

69 


1,459 

2.2 

12.852 

5.6 


2,039 

3.1 

16,158 

7.0 


2,657 

4.0 

17,334 

7.6 


2,673 

4.0 

15,322 

6.7 


2,739 

4.1 

12,665 

5.5 


26.033 


78.532 
26.5 


217,268 

73.5 


2,106 

.7 


6,484 
2.2 


17.443 
5.9 


14,311 
4.8 


18,197 
6.2 


19.991 
6.8 


17,995 
6.1 


15,404 
5.2 


3,909 

87 

100 

6 

708 

4,962 

627 


954 

1.071 

2 

41 

55 

823 
189 

1,195 
85 

7,828 
131 
331 

8,258 


11,477 
873 
837 
102 

3,291 
11,638 
2,570 

106 

2,118 

8,793 

34 

227 

3,477 

14,937 

1,877 

4.810 

433 

31,277 

361 

1,283 

21.387 


74,026 

12,258 

77,680 

2,409 

14,090 
16.305 
19,000 

5,600 

12,122 

107,457 

2,019 

15,089 
324.705 

38.376 

66.974 

29.922 

1.584 

351.545 

357 


334 

2 

16 

1 

23 

749 

33 


67 
110 

4 
13 

39 
23 

127 
8 

632 
19 
14 

253 


1.033 
11 
14 
3 

114 

1.514 

130 


245 
112 

6 
5 

57 

6 

310 

16 

1.451 

37 

54 

1,393 


2.542 

74 

70 

2 

571 

2,699 

454 


642 

849 

2 

31 

37 

727 

160 

758 

61 

5,745 

75 

263 

6,612 


1,986 

116 

106 

10 

601 

1.936 

491 

17 

353 

1,319 

6 

36 

112 

1,669 

255 

743 

91 

5,661 

56 

284 

5,729 


2.540 

219 

163 

25 

866 

2,331 

647 

29 

407 

2,497 

7 

69 

814 

4.397 
485 

1.231 
105 

7.804 

88 

372 

5,213 


3,042 

451 

468 

61 

1,116 

2,409 

805 

56 

404 

3,906 

19 

81 

2,496 

8,048 
948 

1,641 
152 

9,984 

86 

296 

2,187 


2,824 

580 

1,100 

86 

1,159 
1,838 
1,074 

193 

393 

5,361 

16 

317 
6,259 

9.499 

1.905 

1,829 

129 

14,407 

41 


3,063 

651 

1,953 

94 

1,103 
1,408 

1,049 

257 

431 

5,853 

20 

290 
8.277 

8,003 

2,237 

1,865 

127 

17,029 

31 


68,440 
4J 


131 

175 

751 

1,707 

3,490 

6,047 

1,069 

89 


2,764 

4.2 

10,695 

4.7 


13,459 
4.6 


3,111 
697 

2,689 
107 

1,001 
1,175 
1,020 

284 

414 

5,982 

19 

410 

10,340 

5,662 

2,350 

1,775 

118 

17,807 

20 


See  footnotes  at  end  of  table. 


196 


Table  47.  — Suburban  County  Arrests,  Distribution  by  Age,  1987  —  Continued 


Age 

Offense  charged 

21 

22 

23 

24 

25-29 

30-34 

35-39 

40-44 

45-49 

50-54 

55-59 

60-64 

65  and 
over 

TOTAL 

69,955 
4.4 

71,176 
4.5 

72,908 
4.6 

71,572 
4.5 

314,206 
19.8 

224,770 
14.1 

145,182 
9.1 

87,145 
5.5 

52,028 
3.3 

31,589 
2.0 

20,191 
1.3 

12,214 
.8 

11,260 

.7 

Murder  and  nonnegligent 
manslaughter 

124 

199 

750 

1,966 

2,979 

5,511 

935 

96 

133 

177 

685 

1,946 

2,674 

5,215 

870 

77 

116 

211 

645 

2,025 

2,465 

5.033 

818 

74 

128 

187 

577 

2,123 

2,148 

4.794 

728 

60 

520 

940 

2,469 

9,289 

8,368 

20,299 

2,855 

324 

363 

688 

1,428 

7,161 

4,856 

15,715 

1,766 

248 

274 

537 

727 

4611 

2,472 

10,048 

913 

148 

200 

283 

291 

2,844 

1,038 

5,577 

474 

102 

114 
152 
127 

1,689 
516 

3,405 

260 

61 

81 

99 

75 

952 

210 

2,161 

151 

33 

33 
54 
41 
637 
129 
1,572 
62 
31 

28 
41 
12 
360 
61 
1,042 
22 
10 

47 
38 

Robberv                            

15 

399 

81 

1,279 

26 

7 

Violent  crime^        

3,039 

4.6 

9,521 

41 

2,941 
44 

8,836 
3.8 

2,997 

45 

8,390 

3,7 

3,015 
4.6 

7,730 
3.4 

13,218 
20.0 

31,846 
13.9 

9,640 

146 

22,585 

9.8 

6,149 

9.3 

13,581 

5.9 

3,618 
5.5 

7,191 
3.1 

2,082 
3.1 

4,242 
1.8 

1,207 
1.8 

2,555 
1.1 

765 

1.2 

1,794 

.8 

441 

.7 
1,135 

.5 

499 

.8 

1,393 

.6 

12,560 
4.2 

11,777 
4.0 

11,387 
3.8 

10,745 
3.6 

45,064 
15.2 

32,225 
10.9 

19,730 
6.7 

10,809 
3.7 

6,324 
2.1 

3,762 
1.3 

2,559 
.9 

1.576 
.5 

1,892 

Percent  distribution' 

.6 

3.419 
781 

3,266 
108 

918 
1,072 
1.059 

307 

457 

6,187 

33 

533 

13,437 

1.874 

2.893 

1,764 

108 

19,161 

18 

3,674 
709 

3.535 
111 

851 

998 

1.046 

342 

434 

6.572 

39 

579 

14.977 

1,530 
2,955 
1,687 

67 
19.273 

20 

3,875 

762 

3,960 

121 

844 

926 

1.020 

354 

464 

6.699 

49 

665 
15.969 

1.302 

3.232 

1.662 

81 

19,517 

19 

3.950 
619 

4,027 
115 

769 

916 

1.006 

357 

426 

6,590 

43 

699 

16,351 

1.002 

3,092 

1,585 

92 

19,176 

12 

17.365 

2.871 

17,999 

532 

2.964 
3,247 
4.153 

1,574 

2.347 

28,729 

257 

3.476 
74.882 

3,722 

14358 

6.276 

350 

83,956 

84 

12,750 
2.090 
15.026 

435 

1,953 
2,032 
2.973 

934 

2,022 

17,964 

256 

3,275 
56,270 

2,092 
11,454 
4,364 
237 
56,369 
49 

8,137 

1.241 

10,823 

295 

1,137 
1.168 
1.902 

481 

1.529 

9,637 

253 

2,335 

38.664 

1,309 

8,261 

2,793 

128 

35,336 

23 

5,061 
666 

6,430 
200 

621 

659 

1.094 

216 

1,153 

4,222 

256 

1.378 

26,060 

832 

5,131 

1,662 

64 

20,613 

18 

2.969 

308 

3,469 

91 

337 
368 
675 

128 

664 

1,982 

233 

633 

16,827 

572 

3,389 

1,065 

38 

11,950 

6 

1,668 

166 

1.718 

58 

212 
203 
380 

85 

440 
852 
185 
288 
11,203 

366 

2,214 

675 

15 

7,092 

7 

986 
57 

881 
28 

117 
133 
247 

38 

364 
451 
164 
124 
7.323 

278 

1,621 

384 

15 

4,416 

5 

585 
32 

472 
17 

57 
74 
148 

25 

254 
225 
10! 

45 
4,367 

178 

1,040 

286 

6 

2,725 

1 

589 

28 

332 
11 

Stolen  property;  buying,  receiving, 

47 

Weapons;  carrying,  possessing,  etc 

Prostitution  and  commercialized  vice 
Sex  offenses  (except  forcible  rape 

88 
154 

25 

330 

131 

95 

Offenses  against  family  and  children 

42 
3,499 

Liquor  laws 

155 
842 

Disorderly  conduct 

250 
9 

All  other  offenses  (except  traffic) 

2.718 
3 

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

^Violent  crimes  are  ofTenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault. 
^Property  crimes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  iheft.  and  arson, 
^Includes  arson. 


197 


Table  48    — Suburban  County  Arrests  of  Persons  under  15,  18,  21,  and  25  Years  of  Age,  1987 

[1.101  agencies;   1987  estimated  population  40,230,000) 


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  tnanslaughter . 

Forcible  rape .- 

Robbery 

Aggravated  assault 

Burglary      

Larceny-theft 

Motor  vehicle  thefi 

Aison 


Violent  crime  .... 
Property  cnme^.. 


Cnme  Index  total' 


Other  assaults 

Forgery  and  counterfeiting 

Fraud       

Embezzlement 

Stolen  property;  buying,  receiving,  possessing.. 

Vandalism  

Weapons;  carrymg,  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  loitenng  law  violations. 
Runaways 


1,589,226 


2,760 

4,810 

12,366 

46,309 

63,461 

142,324 

21,283 

2,487 


66,245 
229,555 


295.800 


85,503 
13,131 
78,517 
2,511 
17,381 
27.943 
21,570 

5,706 
14,240 
116,250 
2,053 
15,316 
328,182 

53,313 

68,851 

34,732 

2,017 

382,822 

718 

1,283 

21,387 


57,399 


200,440 


405,030 


690,641 


3.6 


12.6 


22 

213 

380 

1,688 

7,517 

14,059 

1,618 

536 


2,303 
23,730 


26,033 


3.909 

87 

100 

6 

708 

4,962 

627 

4 

954 

1,071 

2 

41 

55 

823 
189 

1,195 
85 

7,828 
131 
331 

8.258 


202 

684 

2.079 

5.493 

22.601 

39,134 

7,409 

930 


599 

1.204 

4.524 

10307 

35.464 

60.673 

11.403 

1.216 


1.100 

1.978 

7.181 

18.367 

45.730 

81,226 

14.754 

1.523 


4.4 
3.1 
3.6 

11.8 
9.9 
7.6 

21.6 


7.3 
14.2 
16.8 
11.9 
35.6 
27.5 
34.8 
37.4 


8,458 
70,074 


16,634 
108,756 


28,626 
143,233 


3.5 
103 


12.8 
305 


78,532 


125.390 


171.859 


26.5 


11.477 

873 

837 

102 

3.291 

11.638 

2,570 

106 

2,118 

8,793 

34 

227 
3,477 

14,937 

1,877 

4,810 

433 

31,277 

361 

1.283 

21,387 


20.475 

2.801 

6.579 

389 

6.554 

16.059 
5,713 

840 

3,356 

25,989 

89 

1,244 

28,353 

38.101 

8,369 

10,279 

807 

80.520 

453 

1.283 

21.387 


35.393 
5,672 

21.367 

844 

9,936 

19,971 
9,844 

2,200 
5,137 

52,037 

253 

3,720 

89,087 

43.809 

20.541 

16.977 

1.155 

157.647 

522 

1.283 

21,387 


4.6 

.7 

.1 

.2 

4.1 

17.8 

2.9 

1 

6.7 

.9 

1 

.3 
(') 

1.5 

.3 

3.4 

4.2 

2.0 

18.2 

25.8 

38.6 


13.4 

6.6 

1.1 

4.1 

18.9 

41.6 

11.9 

1.9 
14.9 
7.6 
1.7 
1.5 
1.1 

28.0 

2.7 

13.8 

21.5 

8.2 

503 

100.0 

100.0 


25.5 


21.7 
25.0 
366 
22.3 
55.9 
42.6 
53.6 
48.9 


25.1 
47.4 


42.4 


23.9 
21.3 
8.4 
15.5 
37.7 
57.5 
26.5 

14.7 
23.6 
22.4 
4.3 
8.1 
8.6 

71.5 
12.2 
29.6 
40.0 
21.0 
63.1 
100.0 
100.0 


43.5 


39.9 
41.1 
58.1 
39.7 
72.1 
57.1 
69.3 
61.2 


43.2 
62.4 


58.1 


41.4 
43.2 

27.2 
33.6 
57.2 
71.5 
45.6 

38.6 
36.1 
44.8 
12.3 
24.3 
27.1 

82.2 
29.8 
48.9 
57.3 
41.2 
72.7 
100.0 
100.0 


'Violent  crimes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault 
'Property  cnmes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson. 
'Includes  arson. 
*Less  than  one-tenth  of  1  percent. 


198 


Table  49.  —  Suburban  County  Arrests,  Distribution  by  Sex,  1987 
[1,101   agencies;    1987  estimaled  population  40,230,000] 


Number  of  persons  arrested 

Percent 
male 

Percent 
female 

Percent  distribution' 

Offense  charged 

Total 

Male 

Female 

Total 

Male 

Female 

TOTAL                                 

1,589,226 

1,311,343 

277,883 

82.5 

17,5 

100.0 

100,0 

100.0 

Murder  and  nonnegligeni  manslaughter 

2,760 

4,810 

12,366 

46,309 

63,461 

142,324 

21.283 

2.487 

2,423 
4,762 
11,428 
40,798 
58,540 
98,827 
19,090 
2,177 

337 

48 

938 

5,511 

4.921 

43.497 

2,193 

310 

87.8 
990 
92,4 
88.1 
92,2 
69.4 
89.7 
87.5 

12.2 
1.0 
7.6 
11.9 
7.8 
30.6 
103 
12.5 

.2 

.3 

.8 

2.9 

4.0 

9.0 

1.3 

.2 

.2 

,4 

.9 

3.1 

4.5 

7.5 

1.5 

,2 

.1 

Robbery 

Aggravated  assault 

Burglary 

.3 
2.0 
1.8 

15.7 

.8 

.1 

66.245 
229.555 

59,411 
178,634 

6,834 
50,921 

89.7 
77.8 

10.3 

22.2 

4.2 
14.4 

4.5 
13,6 

2.5 

18.3 

295.800 

238,045 

57,755 

805 

19.5 

18.6 

18.2 

20.8 

85,503 

13,131 

78,517 

2,511 

17,381 
27,943 
21,570 

5,706 

14,240 

116.250 

2,053 

15,316 
328,182 

53,313 

68,851 

34,732 

2.017 

382.822 

718 

1,283 

21,387 

72,718 
8,635 

40,365 
1.685 

15.425 
25,081 
20.138 

1,993 

13,449 

97,372 

1.715 

13.948 

291.248 

42,659 

61,887 

29,068 

1,613 

323,062 

647 

943 

9,647 

12,785 

4,496 

38,152 

826 

1,956 
2,862 
1,432 

3,713 

791 

18,878 

338 

1,368 

36,934 

10,654 

6,964 

5,664 

404 

59.760 

71 

340 

11,740 

85.0 
65.8 
51.4 
67.1 

88.7 
89.8 
93.4 

34.9 

94.4 
83.8 
83.5 
91.1 
88.7 

80.0 
89.9 
83.7 
80.0 
84.4 
90.1 
73.5 
45.1 

15.0 
34.2 
48.6 
32.9 

11.3 
102 
6.6 

65  1 

5,6 
16,2 
16,5 

8.9 
11.3 

20.0 
10.1 
16.3 
20.0 
15.6 
9.9 
26.5 
54.9 

5.4 
.8 

4.9 
.2 

1.1 
1.8 
1.4 

.4 

.9 

7.3 

.1 

1.0 

207 

3.4 

4.3 
2.2 

.1 

24.1 

0 

.1 
1.3 

5.5 
.7 

3.1 
.1 

1,2 
1.9 
1,5 

.2 

1.0 

7.4 

.1 

1.1 

22.2 

3.3 

4.7 

2.2 

.1 

24.6 

e) 

.1 

.7 

4.6 

1.6 

13.7 

.3 

Stolen  property;  buying,  receiving. 

.7 

1.0 

WeaDons'  carrvine   Dossessine.  etc. 

.5 

Prostitution  and  commercialized  vice 
Sex  offenses  (except  forcible  rape  and 

1.3 

.3 

6.8 

Gamblmg       

.1 
.5 

13.3 

3.8 

2.5 

2.0 

.1 

21.5 

0 

.1 

4.2 

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

'Less  than  one-tenth  of  I  percent. 

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

^Property  crimes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson. 

^Includes  arson. 


199 


Table  50.  —  Suburban  County  Arrests,  Distribution  by  Race,  1987 

[1.082  agencies;   1987  eslimated  population  40,046,000] 


Offense  charged 


Total  arrests 


Total 


White 


Black 


Atnerjcan 
Indian 


Alaskan 
Native 


Pacific 
Islander 


Percent  distnbution 


Total 


White 


Black 


Amencan 
Indian 


Alaskan 
Native 


Asian 


Pacific 
Islander 


TOTAL 

Murder  and  nonnegligent  manslaughter 

Forcible  rape 

Robbery     

Aggravated  assault 

Burglary 

Larceny-theft 

Motor  vehicle  theft 

Arson 

Violent  crime^ 

Property  crime' 

Crime  Index  total' 

Other  assaults 

Forgery  and  counterfeiting 

Fraud  

Embezzleinent 

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 


1,575,972 


2,755 

4,802 

12,361 

46,245 

63,322 

142,176 

21,263 

2,484 


66,163 
229,245 


295,408 


85,442 

13,124 

78,512 

2,511 

17,359 
27,914 

21,564 

5,702 

14,230 

116,070 

2,053 

15,278 
316,831 

53,265 

68,622 

34,712 

2,017 

382.092 

713 

1.282 

21.271 


1,260,198 


304,817 


5,524 


5,433 


100.0 


80.0 


1.954 

3.288 

6.053 

33.266 

49.711 

101,940 

15.949 

2.060 


767 

1.474 

6.251 

12.608 

13.263 

38.980 

5.131 

403 


16 

24 

30 

214 

171 

389 

72 

II 


18 
16 

27 
157 
177 
867 
111 

10 


100,0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


709 
68.5 
49.0 
71.9 
78.5 
71.7 
75.0 
82.9 


44.561 
169.660 


21.100 

57.777 


284 
643 


218 
1,165 


100.0 
100.0 


67.4 
74.0 


214,221 


78,877 


927 


1,383 


100.0 


72.5 


66,333 
9,448 

54,272 
1,767 

12,759 
24.347 
16,390 

3,739 

12,490 

86,427 

1,494 

10,121 

295.102 

49,071 

61,113 

28.248 

1.516 

290.443 

640 

1,190 

19.067 


18.447 

3.611 

24.018 

729 

4.466 
3.414 
5.014 

1.907 

1.640 

29,223 

552 

5,121 
19.500 

3,866 

6.784 

6,215 

485 

88,752 

68 

80 

2,048 


367 

35 

123 

4 

72 
70 
58 


47 

222 

3 

28 
852 

193 

533 

187 

9 

1,683 

4 

6 

70 


295 

100.0 

30 

100.0 

99 

100,0 

11 

100.0 

62 

100.0 

83 

100.0 

102 

100.0 

25 

53 

198 

4 

8 

1,377 

135 

192 

62 

7 

1,214 

1 

6 

86 


100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


77.6 
72.0 
69.1 
70.4 

73.5 
87.2 
76.0 

65.6 

87.8 
74.5 
72.8 
66.2 
93.1 

92.1 
89.1 
81.4 
75.2 
76.0 
89.8 
92.8 
89.6 


19,3 


27.8 
307 
50.6 
27.3 
209 
27.4 
24.1 
16.2 


31.9 

25.2 


26.7 


21.6 
27.5 
30.6 
29.0 

25.7 
12.2 
23.3 

33.4 

11.5 
25.2 
26.9 
33.5 
6.2 

7.3 
9.9 
17.9 
24.0 
23.2 
9.5 
6.2 
9.6 


See  footnotes  at  end  of  table. 


200 


Table  50.  —  Suburban  County  Arrests,  Distribution  by  Race,  1987  —  Continued 


OiTense  charged 


Arrests  under   18 


Total 


White 


Black 


Amencan 
Indian 


Alaskan 
Native 


Asian 


Pacific 
Islander 


Percent  distribution' 


Total 


White 


Black 


American 
Indian 

or 
Alaskan 
Native 


Pacific 
Islander 


TOTAL 

Murder  and  nonnegligent  manslaughter 

Forcible  rape 

Robbery 

Aggravated  assault 

Burglary  

Larceny-theft 

Motor  vehicle  theft 

Arson  

Violent  crime^ 

Property  crime^ 

Crime  Index  total* 

Other  assauhs 

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 


199,840 


202 

682 

2,078 

5,487 

22.535 

39,103 

7,399 

929 


8,449 
69.966 


78,415 


11.471 
872 
837 
102 

3,286 
11.630 
2,570 

106 

2,118 

8,676 

34 

226 

3,380 

14,927 

1,855 

4,809 

433 

31,180 

360 

1,282 

21,271 


165,159 


33,169 


562 


950 


lOO.O 


82.6 


136 

394 

916 

3,564 

19.119 

30,294 

5,563 

835 


62 
286 
1,152 
1,897 
3.274 
8.362 
1,741 

83 


351 
68 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


67,3 
57.8 
44.1 
65.0 
84.8 
77.5 
75.2 
89.9 


5,010 
55.811 


3.397 
13,460 


23 
507 


100.0 
100.0 


59.3 
79,8 


60,821 


16,857 


207 


530 


100.0 


77,6 


8.366 

732 

657 

74 

2,454 

10,530 

1,944 

73 

1,780 

6,685 

10 

209 

3,301 

14,567 

1,732 

3,970 

366 

26,284 

347 

1,190 

19,067 


3.008 
131 
177 
28 

799 

1,046 

602 

32 

330 

1,960 

24 

17 

64 

300 

97 

820 

62 

4,675 

12 

80 

2,048 


27 
7 
9 
3 
128 
1 
6 

86 


100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100,0 
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 
83.9 
78.5 
72,5 

74.7 
90.5 
75.6 

68.9 

84.0 
77.1 
29.4 
92.5 
97.7 

97.6 
93.4 
82.6 
84.5 
84.3 
96.4 
92.8 
89.6 


16.6 


30.7 
41.9 
55.4 
34.6 
14.5 
21.4 
23.5 
8.9 


40.2 
19.2 


21.5 


26.2 
15.0 
21.1 
27.5 

24.3 
9.0 

23.4 

30.2 

15.6 

22.6 

70.6 

7.5 

1.9 

2.0 
5.2 
17.1 
14.3 
15.0 
3.3 
6.2 
9.6 


1.0 


See  footnotes  at  end  of  table. 


201 


Table  50.  —  Suburban  County  Arrests,  Distribution  by  Race,  1987  —  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  assauh 

Burglary  

Larceny. theft 

Motor  vehicle  theft 

Arson  


Violent  crime"    . 
Property  crime^ . 


Cnme  Index  total** 


Other  assaults 

Forgery  and  counterfeiting 

Fraud     

Embezzlement 

Stolen  property;  buying,  receiving, 

possessing  

Vandalism  

Weapons;  carrying,  possessing,  etc. . 


Prostitution  and  commercialized  vice  . . 
Sex  offenses  {except  forcible  rape  and 

prostitution)      

Drug  abuse  violations 

Gambling       

Offenses  against  family  and  children . . . , 
Dnving  under  the  influence 


Liquor  laws  

Drunkenness 

Disorderly  conduct 

Vagrancy 

All  other  offenses  (except  trafllc) 

Suspicion  

Curfew  and  loitering  law  violations  , 
Runaways 


1,376,132 


2,553 

4.120 

10.283 

40.758 

40,787 

103,073 

13,864 

1,555 


57,714 
159,279 


216.993 


73,971 

12,252 

77,675 

2,409 

14,073 
16,284 
18,994 

5,596 

12,112 

107,394 

2,019 

15,052 

313,451 

38,338 

66,767 

29,903 

1,584 

350,912 

353 


1,095,039 


271,648 


4,962 


4,483 


100.0 


79.6 


1.818 

2,894 

5.137 

29,702 

30.592 

71,646 

10,386 

1,225 


705 

1.188 

5.099 

10,711 

9.989 

30,618 

3,390 

320 


14 

22 
25 
204 
109 
293 
45 


16 
16 

22 
141 

97 
516 

43 
2 


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


71,2 
70.2 
50.0 
72,9 
75,0 
69,5 
74.9 
78.8 


39,551 
113.849 


17.703 
44.317 


265 
455 


195 
658 


1000 
100,0 


68,5 
71.5 


153,400 


720 


853 


100,0 


70,7 


57,967 
8,716 

53,615 
1,693 

10,305 
13,817 
14,446 

3,666 

10,710 

79,742 

1,484 

9,912 

291,801 

34.504 

59,381 

24,278 

1,150 

264,159 

293 


15,439 

3,480 

23,841 

701 

3,667 
2,368 
4,412 

1,875 

1,310 

27,263 

528 

5,104 
19,436 

3,566 

6,687 

5,395 

423 

84,077 

56 


317 

33 

123 

4 

56 
50 

53 


46 

205 

3 

28 
841 

160 

514 

177 

7 

1,590 

4 


48 

100,0 

23 

100,0 

96 

100,0 

11 

100.0 

45 

100,0 

49 

100,0 

83 

100,0 

24 

46 

184 

4 

8 

1,373 

108 

185 

53 

4 

1,086 


100,0 

100,0 
100,0 
100,0 
100,0 
100,0 

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


78,4 
71,1 
69,0 
70.3 

73,2 
84,9 
76.1 

65.5 

88.4 
74,3 
73.5 
65.9 
93,1 

90.0 
88,9 
81,2 
72,6 
75,3 
83,0 


19.7 


27.6 
28,8 
49.6 
26,3 
24,5 
29,7 
24,5 
20,6 


30,7 
27.8 


28,6 


20,9 
28,4 
30.7 
29.1 

26,1 
14,5 
23,2 

33.5 

10.8 

25,4 

26,2 

33.9 

6.2 

9.3 
10.0 
18.0 
26.7 
24.0 
15.9 


'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. 


202 


Table  51.  —  Rural  County  Arrest  Trends,  1986-1987 

(2,038  agencies;   1987  estimated  population  21,432.000] 


OfTense  charged 


Number  of  persons  arrested 


Total  all  ages 


Percent 
change 


Under    18  years  of  age 


Percent 
change 


18  years  of  age  and  over 


Percent 
change 


TOTAL. 


Murder  and  nonnegligenl  manslaughter. 

Forcible  rape  

Robbery    

Aggravated  assault 

Burglary  

Larceny-theft 

Motor  vehicle  theft 

Arson 


Violent  crime'  .- 
Property  crime^ 


Cnme  Index  total^.. 


Other  assaults 

Forgery  and  counterfeiting 

Fraud       

Embezzlement 

Stolen  property;  buying, 

receiving,  possessing 

Vandalism 

Weapons;  carrying,  possessing,  etc. 


Prostitution  and  commercialized  vice  . 
Sex  offenses  (except  forcible 

rape  and  prostitution) 

Drug  abuse  violations 

Gambling 

Offenses  against  family  and  children 
Driving  under  the  influence 


Liquor  laws 

Drunkenness 

Disorderly  conduct 

Vagrancy 

All  other  offenses  (except  traffic) 

Suspicion  (not  included  in  totals) 

Curfew  and  loitering  law  violations 
Runaways 


725,005 


98.903 


746,309 


1.233 

1,226 

2,109 

2,061 

2,071 

2,212 

19,016 

19,978 

28,758 

29.113 

37,687 

40.255 

6.815 

7,311 

1.214 

1.162 

24,429 

25,477 

74,474 

77,841 

103,318 


41,178 

42,113 

6,300 

6,380 

44,678 

42,421 

1,054 

1,029 

5,457 

5,841 

13,127 

13,800 

7,972 

8,322 

178 


5,725 

5,651 

38.290 

45,897 

655 

746 

7,606 

6,822 

199,337 

197,848 

42,215 

49.412 

42,148 

38,402 

21,474 

20,799 

247 

279 

140,658 

148,648 

521 

568 

838 

1.098 

6,955 

7.305 

+2.9 


68,336 


72,538 


+6.1 


656,669 


-.6 

-23 
+6.8 
+  5.1 
+  1.2 
+6.8 
+7.3 
^.3 


82 

210 

202 

1,156 

8,999 

8,670 

2,320 

283 


63 

184 

239 

1,287 

9,172 

9,631 

2,470 

308 


-23.2 
-12,4 
+  18,3 
+  11,3 

+  1,9 
+  11,1 

+6,5 


1,151 

1,899 
1,869 
17,860 
19,759 
29,017 
4,495 
931 


+4,3 
+4,5 


1,650 
20.272 


1,773 
21,581 


+7,5 
+6,5 


22,779 
54,202 


+4,5 


21,922 


23,354 


+6,5 


76,981 


+2,3 
+  1,3 
-5.1 
-2.4 

+7.0 
+5,1 
+4.4 

-5.3 

-1.3 

+  19,9 
+  13,9 
-10.3 

-,7 

+  17.0 
-8,9 
-3,1 

+  13,0 
+  5,7 
+9,0 

+  31,0 
+5,0 


2.740 

423 

315 

9 

783 

4,557 

565 

18 


2,892 

+  5,5 

380 

-10,2 

317 

+,6 

19 

+  111,1 

794 

+  1,4 

4.784 

+  5,0 

533 

-5,7 

820 

772 

2,434 

2.443 

11 

20 

117 

135 

3,080 

2,946 

9,570 

11,535 

1,165 

1.042 

2,064 

1.945 

62 

76 

9,888 

10.138 

119 

92 

838 

1,098 

6,955 

7,305 

-MA 

-5.9 

+  4 

+81,8 

+  15,4 

-AA 

+  205 
-106 

-5 
+22,6 

+2,5 
-22,7 
+  310 

+  5,0 


170 

4,905 

35,856 

644 

7,489 

196.257 

32,645 

40,983 

19,410 

185 

130,770 

402 


673,771 


1,163 

1,877 
1,973 
18,691 
19,941 
30,624 
4,841 
854 


23,704 
56,260 


79,964 


38,438 

39,221 

5,877 

6.000 

44,363 

42.104 

1,045 

1,010 

4.674 

5.047 

8,570 

9,016 

7,407 

7,789 

168 

4,879 

43,454 

726 

6,687 

194,902 

37,877 
37,360 
18,854 

203 
138.510 

476 


+2.6 


+  1.0 
-1.2 
+5.6 
+4.7 
+.9 
+5.5 
+7.7 
-8.3 


+4.1 
+3.8 


+3.9 


+2.0 
+2.1 
-5.1 
-3.3 

+8.0 
+5.2 
+5.2 

-1.2 

-.5 

+21.2 

+  12.7 

-10.7 

-,7 

+  16,0 
-8.8 
-2.9 
+9.7 
+  5.9 

+  18.4 


'Violent  crimes  are  ofTenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault, 
^Property  crimes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson. 
^Includes  arson. 


203 


Table  52.  —  Rural  County  Arrest  Trends,  Sex,  1986-1987 

[2,038  agencies;   1987  estimated  population  21,432.000] 


Offense  charged 


Percent 

change 


Percent 
change 


Females 


Percent 
change 


Percent 
change 


TOTAL. 


Murder  and  nonnegligent 

manslaughter 

Forcible  rape 

Robbery 

Aggravated  assault 

Burglary 

Larceny-theft 

Motor  vehicle  theft 

Arson 


Violent  crime  .... 
Properly  crimed. 


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 

proslilution) 

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 


616,091 


1.041 

2.078 

1,914 

16,833 

26,849 

30.297 

6.169 

1.059 


21,866 
64,374 


86.240 


35.172 

4.251 

23,509 

752 

4,886 
11,826 
7,519 

79 

5.504 

32,825 

555 

7.000 

179,792 

35.047 

38,768 

18,343 

213 

120.122 

455 

584 

3,104 


630,955 


+2.4 


54,593 


57,345 


+5.0 


108,914 


115,354 


+5.9 


13,743 


1,056 

2.028 

2.019 

17,676 

27,139 

31,746 

6,578 

988 


+  1.4 
-2.4 
+  5.5 
+  5.0 
+  1.1 
+4.8 
+6.6 
-6.7 


73 

202 

189 

984 

8,366 

7,258 

2,058 

252 


53 

180 

215 

1,115 

8,496 

7,891 

2,143 

269 


-27.4 
-109 
+  13.8 
+  13.3 
+  1.6 
+8.7 
+4.1 
+6.7 


192 
31 

157 
2,183 
1,909 
7.390 

646 

155 


170 
33 

193 
2,302 
1,974 
8,509 

733 

174 


-11.5 

+65 

+22.9 

+  5.5 

+  3.4 

+  15.1 

+  13.5 

+  12.3 


13 

172 

633 

1,412 

262 

31 


22,779 
66,451 


+4.2 
+3.2 


1,448 
17.934 


1,563 
18,799 


+  7.9 
+4.8 


2,563 
10,100 


2,698 
11,390 


+5.3 
+  12. 


202 
2,338 


89,230 


+  3.5 


19,382 


20,362 


+5.1 


12,663 


14,088 


HI. 3 


2,540 


35.851 

4.261 

21,737 

700 

5,175 
12,443 
7,859 

73 

5.444 

39.161 

653 

6,247 

177,929 

40,639 

35.086 

17.623 

251 

126.518 

506 

755 

3,320 


+  1.9 
+.2 
-7.5 
-6.9 

+5.9 
+5.2 
+4.5 

-7.6 

-1.1 
+  19.3 
+  17.7 
-108 

-1.0 

+  16.0 
-9.5 
-3.9 

+  17.8 
+  5.3 

+  11.2 

+29.3 
+  7.0 


2,163 

304 

170 

4 

690 

4,191 

540 

10 

774 

2,046 

II 

89 

2,692 

7,112 

1.006 

1,669 

55 

7,997 

103 

584 

3,104 


2.291 

267 

204 

10 

694 

4,424 

502 

3 

724 

2.054 

18 

101 
2,582 

8,412 

858 

1,588 

62 

8,114 

75 

755 

3,320 


+  5.9 

-12.2 

+20.0 

+  150.0 

+  .6 
+  5.6 

-70 

-70.0 

-6.5 

+.4 

+63.6 

+  13.5 

^.1 

+  18.3 
-14.7 

^.9 
+  12.7 

+  1.5 
-27.2 
+29.3 

+7.0 


6,006 

2,049 

21,169 

302 

571 

1.301 

453 

109 

221 

5,465 

100 

606 

19,545 

7,168 

3.380 

3.131 

34 

20,536 

66 

254 

3.851 


6.262 

2,119 

20,684 

329 

666 

1.357 

463 

105 

207 

6,736 

93 

575 

19,919 

8,773 

3,316 

3,176 

28 

22,130 

62 

343 

3,985 


+4.3 
+3.4 
-2.3 
+8.9 

+  16.6 

+4.3 
+2.2 

-3.7 

-6.3 
+23.3 
-7.0 
-5.1 
+  1.9 

+22.4 
-1.9 
+  1.4 

-17.6 
+7.8 
-6.1 

+  35.0 
+3.5 


577 

119 

145 

5 

93 
366 

25 


46 
388 


28 
388 

2,458 

159 

395 

7 

1,891 

16 

254 

3,851 


15,193 


10 

4 

24 

172 

676 

1,740 

327 

39 


210 

2,782 


2,992 


601 

113 

113 

9 

100 
360 

31 


48 

389 

2 

34 
364 

3,123 

184 

357 

14 

2,024 

17 

343 

3,985 


+10,6 


+  11.1 
-50.0 
+84.6 


+6.8 
+23.2 
+24.8 
+25.8 


+4.0 
+  19.0 


+4.2 

-5.0 

-22.1 

+80.0 

+7.5 

-1.6 

+24.0 

-12.5 

+4.3 
+.3 


+21.4 
-6.2 

+27.1 
+  15.7 

-9.6 
+  100.0 

+7.0 

+6.3 
+35.0 

+3.5 


'Violent  crimes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault. 
^Properly  cnmes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson. 
'Includes  arson. 


204 


Table  53.  —  Rural  County  Arrests,  Distribution  by  Age,  1987 

[2,293  agencies;   1987  estimated  population  23,979,000) 


Offense  charged 


Total  all 
ages 


Ages 

under 
15 


Ages 

under 

18 


Ages 
18  and 


Age 


Under 
10 


TOTAL 

Percent  distribution'., 


Murder  and  nonnegligent  manslaugliter.. 

Forcible  rape  

Robbery 

Aggravated  assault 

Burglary 

Larceny-theft 

Motor  vehicle  theft 

Arson 


Violent  crime^ 

Percent  distribution' 

Property  crimc^ 

Percent  distribution' 


Crime  Index  total*    . 
Percent  distribution' 


Other  assaults 

Forgery  and  counterfeiting 

Fraud 

Embezzlement 

Stolen  property;  buying,  receiving, 

possessing 

Vandalism 

Weapons;  carrying,  possessing,  etc. 

Prostitution  and  commercialized  vice 
Sex  ofTenses  (except  forcible  rape 

and  prostitution) 

Drug  abuse  violations 

Gambling 

Offenses  against  family  and  children.. 
Driving  under  the  influence 


Liquor  laws 

Drunkenness  

Disorderly  conduct 

Vagrancy 

All  other  offenses  (except  trafTic) 

Suspicion 

Curfew  and  loitering  law  violations  .. 
Runaways  


821,528 
100.0 


1.374 

2.333 

2,479 

22,376 

32,842 

45,514 

8,052 

1.300 


28,562 
100,0 

87,708 
100.0 


116,270 
100.0 


46.537 
7,259 

47,430 
1,154 

6,477 
15,234 
9,066 

197 

6,319 

51,274 

761 

7,930 

210,505 

53,032 

42,369 

23,101 

317 

166,185 

631 

1.279 

8,201 


18,997 
2.3 


80,804 
9.8 


740,724 
90.2 


1,724 
.2 


4,187 
.5 


13,086 
1.6 


12,921 
1.6 


20,597 
2.5 


28,289 
3.4 


36,573 
4.5 


36,933 

4.5 


9 

50 

30 

309 

2,988 

3,331 

660 

174 


68 

210 

253 

1,412 

10,310 

10,682 

2,737 

339 


1,306 

2,123 

2,226 

20954 

22,532 

34,832 

5,315 

961 


1 

2 

1 

26 

295 

285 

14 

56 


1 

14 
3 

86 

744 

855 

95 

51 


7 

34 

26 

197 

1,949 

2,191 

551 

67 


11 

33 

37 

220 

1,728 

1,708 

626 

50 


24 

42 

71 

343 

2,469 

2,578 

732 

43 


24 

85 

115 

540 

3,125 

3,065 

719 

72 


43 

103 

134 

741 

3,267 

3,406 

625 

56 


398 

1,4 

7,153 

8.2 


1,943 

6.8 

24,068 

27.4 


26,619 
93.2 

63,640 
72.6 


30 

.1 

650 

.7 


104 

.4 

1,745 

2.0 


264 

.9 

4,758 

5.4 


301 

1.1 

4,112 

4.7 


480 

17 

5,822 

6.6 


764 

2.7 

6,981 

8.0 


1,021 
3,5 

7,354 
8.4 


7,551 
6,5 


26,01 1 

22.4 


90,259 
77.6 


680 
.6 


1,849 
1.6 


5,022 
4.3 


4,413 
3.8 


6,302 
5.4 


7,745 
6.7 


8,375 
7.2 


792 
45 
39 


150 

2.033 

140 

3 

340 

372 

1 

56 

55 

783 

82 

510 

18 

2.708 

50 

337 

2,922 


3,153 

441 

352 

20 

879 

5,292 

585 

10 

866 

2,780 

20 

204 
3,125 

12,531 

1,169 

2,186 

82 

11,522 

96 

1,279 

8,201 


43,384 
6,818 

47,078 
1,134 

5,598 
9,942 
8,481 

187 

5,453 

48,494 

741 

7,726 

207,380 

40,501 
41,200 
20,915 
235 
154,563 
535 


194 
8 
1 


521 
34 
30 


355 
12 


34 

615 

41 


309 

7 

7 

75 


99 
5 

592 
17 
61 

440 


108 

1,063 

87 


224 

313 

1 

38 

32 

672 

57 

351 

13 

1,807 

26 

259 

2,406 


451 

51 

24 

1 

135 

797 
104 


171 

343 

6 

39 
112 

1,455 

140 

341 

19 

1,773 

13 

259 

2,273 


789 

119 

82 

1 

267 

1,180 

130 

1 

171 

738 

5 

44 

793 

3,737 

318 

545 

22 

2,921 

12 

408 

2,011 


1,121 

226 

207 

18 

327 

1,282 

211 

5 

184 

1,327 

7 

65 

2,155 

6,556 

629 

790 

23 

4,120 

21 

275 

995 


1,640 

383 

547 

12 

445 

1,139 

344 


224 

2,054 

8 

189 
4,496 

7,525 
1,286 
1,094 
7 
6,670 
28 


49 

99 

156 

736 

2,492 

2,590 

517 

62 


1,040 
3,5 

5,761 
6,5 


5,801 
5,8 


1.709 

453 

1.201 

37 

431 
851 
348 


217 

2,449 

8 

221 
5,823 

6,382 
1,482 
1,043 

16 
7,421 

31 


36,560 
4,5 


50 

110 

150 

834 

2,059 

2,353 

450 

41 


1,154 
4.0 

4,913 
5,5 


6,067 
5,2 


1.799 

440 

1.510 

39 

393 
724 
386 


150 

2.617 

8 

249 
5.909 

4,890 
1,587 
1,125 

12 
7,623 

27 


See  footnotes  at  end  of  table. 


205 


Table  53.  —  Rural  County  Arrests,  Distribution  by  Age,  1987  —  Continued 


OfTensc  charged 


Age 


65  and 
over 


TOTAL 

Percent  distribution' 

Murder  and  nonnegligent  manslaughter 

Forcible  rape    

Robbery  

Aggravated  assault 

Burglary 

Larceny-theft 

Motor  vehicle  theft 

Arson 

Violent  cnme'      

Percent  distribution' 

Property  cntne^    

Percent  distribution' 

Cnme  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 


36,655 
4.5 


51 

109 

158 

9\i 

1,778 

2,103 

362 

47 


1,231 
4.3 

4,290 
4.9 


5,521 
4.7 


2,009 

431 

1,981 

52 

347 
590 
425 


197 

2,693 

10 

321 
8,509 

2.178 
1,821 
1.160 
9 
8,363 
30 


36,311 
4.4 


36,725 
4.5 


36,715 
4.5 


154,838 
18.8 


114,971 
14.0 


78,469 
9.6 


51,550 
6.3 


31,815 
3.9 


20,845 
2.5 


13,850 

1.7 


56 

88 

184 

967 

1,471 

1,861 

336 

43 


55 

96 

143 

1,018 

1,342 

1,810 

297 

38 


56 

122 

140 

1,007 

1.231 

1,662 

295 

47 


260 

428 

551 

4,535 

4,200 

6,383 

996 

163 


208 

325 

308 

3,628 

2,366 

4,375 

639 

144 


164 

261 

164 

2,389 

1,121 

3,154 

366 

108 


107 
145 

74 

1,638 

609 

1,946 

199 

84 


73 
120 

36 

921 

306 

1,104 

103 

45 


47 

47 

17 

658 

151 

724 

61 

42 


30 
31 
4 

422 
66 

488 
35 
23 


1,295 
4.5 

3,711 
4.2 


1.312 
4.6 

3,487 
4.0 


1,325 
4.6 

3,236 
3.7 


5.774 

20.2 

11.742 

13.4 


4,469 
15.6 

7,524 
8.6 


2,978 

10,4 

4,749 

5.4 


1,964 

6.9 

2.838 

3,2 


1,150 
4.0 

1,558 
1.8 


769 
2.7 

978 
1.1 


487 
1.7 
612 

,7 


5,006 
4.3 


4,799 
4.1 


4.561 
3.9 


17,516 
15.1 


11.993 
10.3 


7,727 
6.6 


4.802 
4,1 


2,708 
2.3 


1,747 
1.5 


1,099 
.9 


2,073 

437 

2,158 

39 

335 
608 
431 

13 

168 

2.828 

19 

333 
9,098 

1,782 
1,783 
1,112 
15 
8,045 


2,114 

422 

2,319 

55 

341 
586 
395 

10 

177 

2,849 

9 

316 
9,595 

1,542 
1,851 
1,095 

13 
8,204 

33 


2,237 

369 

2,312 

56 

304 
525 
475 

12 

185 

3,016 

14 

349 
9,756 

1,418 
1,849 
1,050 

17 
8,182 

28 


9,641 

1,585 

10.420 

252 

1.173 
2.025 
1,702 

43 

866 

12,834 

93 

1,728 

43.578 

5.005 
7.831 
4.387 

54 
34,008 

97 


7,243 
991 

8.812 
192 

599 
1,184 
1,368 

29 

860 

8.522 

89 

1,577 

34,574 

3,199 

6.409 

3.065 

35 

23,938 

91 


4,914 

584 

6,462 

147 

460 

743 
915 

15 

743 

4,564 

103 

1,172 

24,830 

2.108 
4.730 
2.048 
23 
16.132 
49 


3.228 
334 

4,268 
115 

312 
428 
565 

14 

571 

2,069 

98 

641 

17,382 

1,441 

3,358 

1,402 

17 

10,364 

39 


1,859 

171 

2,202 

69 

155 
221 
397 


355 

941 

86 

330 

11,719 

1.055 

2,377 

858 

6 

6,256 

23 


1,217 

103 

1,244 

28 

87 
147 
240 


219 

507 

67 

135 

8,097 

769 

1,840 

577 

5 

3,800 

12 


717 
62 

587 
21 

53 

75 
171 

2 

178 

291 

38 

76 

5.555 

512 

1,335 

394 

2 
2,473 


9,071 
1.1 


19 

23 

2 

242 
38 

353 
22 
12 


286 

1.0 

425 

.5 


711 
.6 


509 
26 

458 
14 

38 
48 
114 

5 

154 
139 
37 
52 
3,686 

334 

940 

227 

1 

1,554 

4 


8,843 
1.1 


28 

15 

5 

315 

25 

420 

11 

6 


364 

1.3 

462 

.5 


826 

.7 


465 

27 

387 

5 

25 
48 
104 


189 
121 
54 
37 
3,572 

351 
721 
278 

2 
1,520 

7 


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

'Violent  cnmes  are  offenses  of  murder,  forcible  rape,  robtiery,  and  aggravated  assault. 
Property  cnmes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson, 
'Includes  arson. 


206 


Table  54. —  Rural  County  Arrests  of  Persons  under  15,  18,  21,  and  25  Years  of  Age,  1987 

[2,2')3  agencies:   IPS?  estimated  population  23.979.000] 


OtTense  ctiarged 


Total 
all  ages 


Number  of  persons  arrested 


Percent  of  total  all  ages 


Under 

15 


Under 
18 


Under 


Under 
25 


TOTAL.. 


Murder  and  nonnegligent  manslaughter 

Forcible  rape 

Robbery 

Aggravated  assault 

Burglary 

Larceny-theft 

Motor  vehicle  theft 

Arson 


Violent  crime  .. 
Property  crime^ 


Cnme  Index  total 


Other  assaults  

Forgery  and  counterfeiting 

Fraud  

Embezzlement  

Stolen  property;  buying,  receiving,  possessing 

Vandalism 

Weapons;  carrying,  possessing,  etc 


Prostitution  and  commercialized  vice 
Sex  offenses  (except  forcible  rape 

and  prostitution) 

Drug  abuse  violations 

Gambling        

Offenses  against  family  and  children 
Driving  under  the  influence 

Liquor  laws 

Drunkenness 

Disorderly  conduct 

Vagrancy 

All  other  offenses  (except  traffic) 

Suspicion 

Curfew  and  loitering  law  violations  ... 
Runaways 


821.528 


1,374 

2,333 

2,479 

22,376 

32,842 

45,514 

8,052 

1,300 


28.562 
87,708 


116,270 


46,537 
7,259 

47,430 
1.154 
6.477 

15,234 
9,066 

197 

6,319 

51,274 

761 

7,930 

210,505 

53,032 

42.369 

23.101 

317 

166.185 

631 

1.279 

8.201 


18,997 


80,g(M 


190,870 


337,276 


2.3 


9.8 


9 

50 

30 

309 

2,988 

3,331 

660 

174 


68 

210 

253 

1,412 

10,310 

10,682 

2,737 

339 


220 
522 
693 

3,723 
18,138 
19,131 

4,329 


438 

937 

1,318 

7,628 

23,960 

26,567 

5,620 

673 


.7 
2.1 
1.2 
1.4 
9.1 
7.3 
8.2 
13.4 


4.9 
9.0 
10.2 
6.3 
31.4 
23.5 
34.0 
26.1 


398 
7,153 


1,943 
24,068 


5,158 
42,096 


10,321 
56,820 


6.8 

27.4 


7,551 


26.011 


47,254 


67,141 


6.5 


22.4 


792 
45 
39 

150 

2,033 

140 


340 

372 

I 

56 

65 

783 

82 

510 

I 

2.708 

50 

337 

2,922 


3,153 

441 

352 

20 

879 

5,292 
585 

10 

866 

2,780 

20 

204 

3,125 

12,531 

1.169 

2.186 

82 

11.522 

96 

1,279 

8,201 


8,301 
1,717 
3,710 
108 
2,148 
8.006 
1.663 

31 

1,457 

9,900 

44 

863 

20,353 

31,328 

5,524 

5,448 

117 

33,236 

182 

1,279 

8,201 


16,734 
3,376 

12,480 

310 

3,475 

10,315 
3,389 

74 

2,184 

21,286 

96 

2.182 
57,311 

38,248 

12,828 

9,865 

171 

66,030 

301 

1,279 

8,201 


1.7 
.6 
.1 

2.3 

13.3 

1.5 

1.5 

5.4 

.7 


(*) 

1,5 

2 

2.2 

5.7 

1.6 

7,9 

26.3 

35.6 


6.8 

6.1 
.7 

1.7 
13.6 
34.7 

6.5 

5.1 

13,7 
5.4 
2.6 
2,6 
1,5 

23-6 

2.8 

9.5 

25.9 

6.9 

15.2 

1000 

100.0 


23.2 


16,0 
22,4 
28,0 
16,6 
55.2 
42.0 
53.8 
38.3 


18.1 
48.0 


40.6 


17.8 
23.7 
7.8 
9.4 
33.2 
52.6 
18.3 

15.7 

23,1 
19,3 

5 
10,9 

9,7 

59,1 
13.0 
23.6 
36.9 
20,0 
28, 
100-0 
100,0 


4M 


31.9 
40.2 
53.2 
34.1 
73.0 
58.4 
69.8 
51.8 


36.1 
64.8 


57.7 


36.0 
46.5 
26.3 
26.9 
53.7 
67.7 
37.4 

37.6 

34.6 
41,5 
12,6 

27,5 
27.2 

72.1 
30.3 
42.7 
53.9 
39.7 
47.7 
100.0 
100.0 


'Violent  crimes  are  offenses  of  murder,  forcible  rape,  robtjery.  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. 


207 


Table  55.  —  Rural  County  Arrests,  Distribution  by  Sex,  1987 

[2.293  agencies;   1987  estimated  population  23,979.0001 


Offense  charged 


TOTAL 

Murder  and  nonnegligent  manslaughter 

Forcible  rape 

Robbei7 

Aggravated  assault 

Burglai7 

Larceny-theft 

Motor  vehicle  theft 

Arson 

Violent  crime^ 

Property  crime* 

Cnme  Index  total' 

Other  assaults 

Forgery  and  counterfeiting 

Fraud 

Embezzlement 

Stolen  property;  buying,  receiving,  possessing 

Vandalism 

Weapons;  carrying,  possessing,  etc 

Prostitution  and  commercialized  vice 

Sex  offenses  (except  forcible  rape  and  prostitution) 

Drug  abuse  violations 

Gambling 

Offenses  against  family  and  children 

Driving  under  the  influence 

Liquor  laws 

Drunkenness 

Disorderly  conduct 

Vagrancy 

All  other  offenses  (except  traffic) 

Suspicion 

Curfew  and  loitering  law  violations 

Runaways 


Number  of  persons  arrested 


821,528 


1,374 
2,333 

2,479 

22,376 

32,842 

45,514 

8,052 

1.300 


28.562 
87.708 


116,270 


46,537 
7,259 

47,430 
1,154 
6,477 

15,234 
9,066 

197 

6,319 

51.274 

761 

7.930 

210.505 

53,032 

42,369 

23,101 

317 

166,185 

631 

1,279 

8,201 


Male 


693,533 


1,185 

2,297 

2,261 

19,800 

30,655 

35,752 

7,220 

1,111 


25,543 
74.738 


100.281 


39,627 
4,873 

24,317 

795 

5,751 

13,709 
8,562 

82 

6.080 

43.594 

668 

7,259 

189,332 

43.559 

38,697 

19,581 

276 

141,324 

565 

887 

3,714 


127,995 


189 
36 

218 

2.576 

2.187 

9.762 

832 

189 


3.019 
12,970 


15.989 


6.910 

2.386 

23,113 

359 

726 

1,525 

504 

115 

239 

7,680 

93 

671 

21.173 

9.473 

3.672 

3.520 

41 

24,861 

66 

392 

4,487 

Percent 
male 


84.4 


86.2 
98.5 
91.2 
88.5 
93.3 
78.6 
89.7 
85.5 


89.4 
85.2 


86.2 


85.2 
67.1 
51,3 
68,9 
88,8 
90.0 
94.4 

41.6 
96.2 
85.0 
87,8 
91,5 
89.9 

82,1 
91,3 
84,8 
87,1 
85,0 
89,5 
69,4 
45,3 


Percent 
female 


15.6 


13,8 

1,5 

8,8 

11.5 

6,7 

21,4 

10,3 

14,5 


10,6 
14,8 


14.8 
32.9 
48.7 
31.1 
11.2 
10.0 
5.6 

58.4 
3.8 

15.0 

12.2 
8.5 

10. 1 

17.9 
8.7 
15.2 
12.9 
15.0 
10.5 
30.6 
54.7 


Percent  dislribulion 


100.0 


.2 

,3 

,3 

2,7 

4,0 

5,5 

1,0 

,2 


3,5 
10,7 


142 


5,7 
,9 

5,8 
1 
.8 

1,9 

1,1 

e) 

,8 

6,2 

,1 

1,0 

25,6 

6,5 

5,2 

2, 

(') 

20,2 

,1 

,2 

1,0 


100.0 


.2 

.3 

,3 

2,9 

4,4 

5,2 

1,0 

.2 


3,7 
10,8 


145 


5.7 
,7 

3.5 
I 
,8 

2,0 

1,2 

e) 

,9 
6,3 

,1 
1,0 

27,3 

6,3 

5,6 

2,8 

(') 

20,4 

,1 

I 

,5 


100.0 


I 

(') 

,2 
2.0 
1,7 
7.6 
.7 
.1 


2.4 
10.1 


12.5 


5.4 
1.9 
18.1 
.3 
.6 
1.2 
.4 

.1 

.2 

6.0 

.1 

.5 

16.5 

7.4 
2.9 
2.8 

e) 

19.4 
.1 
.3 

3.5 


'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  cnmes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson, 

'includes  arson. 


208 


Table  56.  —  Rural  County  Arrests,  Distribution  by  Race,  1987 

[2,276  agencies;   1987  estimated  population  23,798,0001 


OfTense  charged 


Tolal  arrests 


American 
Indian 


Alaskan 
Native 


Pacific 
Islander 


Percent  distribution 


Black 


American 
Indian 


Alaskan 
Native 


Pacific 
Islander 


TOTAL 

Murder  and  nonnegligent 

manslaughter 

Forcible  rape 

Robbei7 

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 


811,601 


1,369 

2,317 

2,449 

22,284 

32,591 

45,209 

7,993 

1,279 


28.419 
87,072 


115,491 


46.408 
7,196 

47,356 
1.132 

6,429 
15.174 
9.025 

193 

6.265 

50.970 

761 

7.887 

204.498 

52.831 

41,745 

22.975 

312 

165.049 

512 

1.239 

8,153 


663,778 


122,964 


17,478 


7,381 


100.0 


81.8 


974 

1,621 

1,523 

15,843 

26,610 

36,030 

6,761 

1,096 


357 

612 

875 

5,715 

4,963 

7,768 

870 

161 


28 

66 

29 

578 

718 

593 

202 

15 


10 

18 

22 

148 

300 

818 

160 

7 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


71.1 
70.0 
62.2 
71.1 
81.6 
79.7 
84.6 
85.7 


19,961 
70,497 


7.559 
13.762 


701 
1.528 


198 
1,285 


100.0 
100.0 


70.2 
81.0 


90,458 


21.321 


2,229 


1.483 


100.0 


78.3 


34,513 

5,284 

33.539 

843 

5.094 
13.300 
7.548 

153 

5,574 

41,696 

489 

5.224 
176.583 

47.664 

36.491 

18,802 

269 

131,532 

423 

869 

7,430 


10.437 

1.799 

13.280 

267 

1.184 
1.423 
1.229 

39 

506 

8.109 

169 

2.491 

21.385 

3.658 

3.517 

3.322 

36 

28.476 

70 

24 

222 


1,051 

71 

471 

14 

122 
295 
169 


148 

677 

8 

122 

4.915 

1.062 

1.685 

733 

7 

3.555 

16 

5 

122 


407 
42 
66 


29 
156 
79 


37 

488 

95 

50 

1,615 

447 

52 
11 


1.486 

3 

341 

379 


100,0 
100.0 
100.0 
100.0 

lOO.O 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


74.4 
73.4 
70 
74.5 

79.2 
87.6 
83.6 

79.3 

89.0 
81.8 
64.3 
66.2 
86.3 

90.2 

87.4 
81.8 
86.2 
79.7 
82.6 
701 
91.1 


15.2 


26.1 
26.4 

35.7 
25.6 
15.2 
172 
10.9 
12.6 


26.6 
15.8 


18.5 


22.5 
25.0 
28.0 
23.6 

18.4 
9.4 
13.6 

202 

8.1 
15.9 
22.2 
31.6 
105 

6.9 
8.4 
14.5 
11.5 

173 

13.7 

1.9 

27 


2.2 


2.0 
2.8 
1.2 
2.6 

2.2 
1.3 
2.5 
1.2 


1.9 


.9 
.7 
.9 
1.8 
2.0 
.5 


.7 
1.5 


1.3 


2.3 

.9 

1.0 

.6 

1.0 

.1 

1.2 

.7 

1.9 

.5 

1.9 

1.0 

1.9 

.9 

s 

2.4 

.6 

1.3 

1.0 

1.1 

12.5 

1.5 

.6 

2.4 

.8 

2.0 

.8 

4.0 

.1 

3.2 

.5 

?? 

2.2 

.9 

3.1 

.6 

.4 

27.5 

1.5 

4.6 

See  footnotes  at  end  of  table. 


209 


Table  56.  —  Rural  County  Arrests,  Distribution  by  Race,  1987  —  Continued 


Offense  charged 


Arrests  under   18 


Amencan 
Indian 


Alaskan 
Nalive 


Pacific 
Islander 


Percent  distribution 


American 
Indian 


Alaskan 
Native 


Pacific 
Islander 


TOTAL. 


Murder  and  nonnegligent  manslaughter. 

Forcible  rape 

Robbery 

Aggravated  assault 

Burglary      

Larceny-theft 

Motor  vehicle  theft 

Arson  


Violent  cnme 
Property  cnme^ 


Crime  Index  total' 


Other  assaults 

Forgery  and  counterfeiting 

Fraud  

Embezzlement 

Stolen  property;  buying,  receiving, 

possessing 

Vandalism 

Weapons;  carrying,  possessing,  etc.. 


Prostitution  and  commercialized  vice.. 
Sex  offenses  (except  forcible 

rape  and  prostitution) 

Drug  abuse  violations 

Gambling        

Offenses  against  family  and  children  .. 
Driving  under  the  influence 


Liquor  laws 

Drunkenness 

Disorderly  conduct 

Vagrancy 

All  other  offenses  (except  trafTic) 

Suspicion  

Curfew  and  loitering  law  violations. 
Runaways 


80,293 


210 

252 

1.410 

10,284 

10,643 

2,716 

332 


1,940 
23,975 


25,915 


3,149 

439 

350 

19 


5,266 

585 


71,361 


53 

156 

166 

1,054 

9,021 

9,073 

2,358 

304 


1.429 
20,756 


22,185 


2,411 
380 

278 
14 

756 

4,940 

511 


866 

766 

2,752 

2,421 

20 

15 

202 

175 

3,058 

2,915 

12,463 

11,970 

1,152 

1,087 

2,170 

1,941 

81 

77 

11.440 

10,135 

96 

78 

1,239 

869 

8,153 

7,430 

5,266 


1,417 


2,249 


100.0 


88.9 


10 

49 

70 

292 

819 

1,016 

185 

17 


4 

41 

261 

172 

71 

6 


12 
23 
183 
382 
102 
5 


100.0 
100.0 
100.0 
100.0 
lOO.O 
lOO.O 
100.0 
100.0 


77.9 
74.3 
65.9 
74.8 
87.7 
85.2 
86.8 
91.6 


421 
2,037 


53 
510 


37 
672 


1000 
100.0 


73,7 
86.6 


2,458 


563 


100.0 


85.6 


529 

48 

64 

4 

94 
189 
50 


69 
162 
2 
23 
61 

151 

25 

175 

1 

908 

4 

24 

222 


21 

32 

1 
67 

204 

39 

43 

3 

150 

14 

5 

122 


157 

100.0 

6 

100.0 

5 

100.0 

1 

100.0 

9 

100.0 

66 

100.0 

11 

100.0 

100,0 


10 

100.0 

137 

100.0 

3 

100.0 

3 

100.0 

15 

100.0 

138 

lOO.O 

1 

100.0 

11 

100.0 

100.0 

247 

100,0 

100.0 

341 

100,0 

379 

100,0 

76,6 
86,6 
79,4 

73,7 

87,1 
93,8 

87,4 

70.0 

88.5 
88,0 
75,0 
86.6 
95.3 

96.0 
94.4 
89,4 
95,1 
88.6 
81.3 
70.1 
91,1 


6.6 


14,7 

23,3 

27,8 

20.7 

8.0 

9.5 

6.8 

5  1 


21.7 
8.5 


9.5 


1.8 


7.4 
1.4 
1.6 
2.9 
2.5 
1.6 
2.6 
1,8 


2.2 


1.0 
4.8 
1.6 
1.8 
3.6 
3.8 
1.5 


1.9 
2.8 


2.7 


16.8 

1.7 

5.0 

10.9 

1.1 

1.4 

18.3 
71  1 

.9 

1.4 
5.3 

10.8 

1.0 

1.0 

36 

1.3 

1.3 

8,5 

2.2 

1.9 

30  0 

8.0 

2.4 

1.2 

5.9 

1.2 

5.0 

lOO 

15.0 

11.4 

.5 

1.5 

2.0 

2.2 

.5 

1.2 

1.6 

1.1 

2.2 

3.4 

.1 

8.1 

2.0 

.5 

1  7 

3.7 

7.9 

1.3 

2.2 

4'' 

14.6 
.4 

1.9 

27.5 

2.7 

1.5 

4.6 

See  footnotes  at  end  of  table. 


210 


Table  56.  — Rural  County  Arrests,  Distribution  by  Race,  1987  —  Continued 


Offense  charged 


Arrests  18  and  over 


American 
Indian 


Alaskan 
Nalive 


Pacific 
Islander 


Percent  distnbution 


American 
Indian 


Alaskan 
Nalive 


Pacific 
Islander 


TOTAL . 


Miifder  and  nonnegligent  manslaughter 

Forcible  rape 

Robbei7   

Aggravated  assault 

Burglai7 

Larceny-theft 

Motor  vehicle  theft 

Arson 


Violent  cnme 
Property  crime^ 

Crime  Index  total' 


Other  assaults 

Forgery  and  counterfeiting 

Fraud   

Embezzlement 

Stolen  property;  buying,  receiving, 

possessing  

Vandalism 

Weapons;  carrying,  possessing,  etc 

Prostitution  and  commercialized  vice.. 
Sex  offenses  (except  forcible 

rape  and  prostitution) 

Drug  abuse  violations 

Gambling 

Offenses  against  family  and  children 
Driving  under  the  influence 


Liquor  laws 

Drunkenness 

Disorderiy  conduct 

Vagrancy  

All  other  offenses  (except  traffic) 

Suspicion 

Curfew  and  loitering  law  violations.. 
Runaways 


731.308 


1.301 

2.107 

2.197 

20.874 

22,307 

34.566 

5,277 

947 


26,479 
63,097 


89,576 


43.259 
6.757 

47.006 
1,113 

5.561 
9,908 
8,440 

183 

5.399 

48.218 

741 

7.685 

201.440 

40.368 
40.593 
20,805 
231 
153,609 
416 


592,417 


117,698 


16,061 


5,132 


100.0 


81.0 


921 

1,465 

1,357 

14.789 

17.589 

26.957 

4.403 

792 


347 

563 

805 

5.423 

4.144 

6.752 

685 

144 


23 

63 

25 

537 

457 

421 

131 

9 


10 

16 

10 

125 

117 

436 

58 

2 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


70.8 
69.5 
61.8 

70.8 
78.8 
78.0 
83.4 
83.6 


18.532 
49.741 


7,138 
11,725 


648 
1,018 


161 
613 


100.0 
100.0 


70.0 
78.8 


68,273 


18,863 


1,666 


774 


100,0 


762 


32,102 

4,904 

33,261 

829 

4,338 
8.360 
7,037 

146 

4.808 

39.275 

474 

5.049 

173.668 

35.694 

35.404 

16.861 

192 

121.397 

345 


9.908 

1.751 

13.216 

263 

1.090 
1.234 
1,179 

36 

437 

7,947 

167 

2,468 

21,324 

3,507 
3.492 
3.147 

35 
27.568 

66 


999 
66 

468 
14 

113 
224 
156 


127 

645 

8 

121 

4,848 

858 

1,646 

690 

4 

3.405 

2 


250 

36 

61 

7 

20 
90 
68 


27 

351 

92 

47 

1,600 

309 
51 
107 

1.239 
3 


1000 
100.0 
100.0 
100.0 

100.0 
100.0 
lOO.O 

100.0 

100.0 
100.0 
1000 
100.0 
100.0 

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


74,2 
72,6 
70, 
74.5 

78.0 
84.4 
83.4 

79,8 

89,1 
81,5 
64,0 
65,7 
86,2 

88.4 
87.2 
81.0 
83.1 
79.0 
82.9 


16.1 


26.7 
26.7 
36.6 
26.0 
18.6 
19.5 
13.0 
15.2 


27.0 
18,6 


21.1 


22.9 
25.9 
28.1 
23.6 

19.6 
12.5 
14.0 

19.7 

8.1 
16.5 
22.5 
32.1 
10.6 

8.7 
8.6 
15.1 
15.2 
17.9 
15.9 


2.2 


1.8 
3.0 
1.1 
2.6 
2.0 
1.2 
2.5 
1.0 


2.4 
1.6 


1.9 


.5 
.6 
.5 
1.3 
1.1 
.2 


.6 
1.0 


2.3 

.6 

1.0 

.5 

1.0 

I 

1.3 

.6 

2.0 

.4 

2.3 

.9 

1.8 

.8 

5 

2.4 

.5 

1.3 

.7 

1.1 

12.4 

1.6 

.6 

2.4 

g 

2.1 

.8 

4.1 

.1 

3.3 

.5 

1  7 

2.2 

.8 

.5 

.7 

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

^Violent  ciimes  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. 


211 


Table  57. —  Suburban  Area'  Arrest  Trends,  1986-1987 

[4,347  agencies;   1987  estimated  population  73.347,000] 


OfTensc  charged 


Number  of  persons  arrested 


Total  all  ages 


Percent 
change 


Under   18  years  of  age 


Percent 
change 


years  of  age  and  over 


Percent 

change 


TOTAL 

Murder  and  nonnegligenl  manslaughter 

Forcible  rape 

Robbery 

Aggravated  assault 

Burglary 

Larceny-theft  

Motor  vehicle  theft 

Arson 

Violent  critne" 

Properly  crime' 

Crime  Index  total' 

Other  assaults 

Forgery  and  counterfeiting 

Fraud  

Embezzlement 

Stolen  property;  buying,  receiving, 

possessing 

Vandalism 

Weapons:  carrying,  possessing,  etc 

Prostitution  and  commercialized  vice. ... 
Sex  offenses  {except  forcible  rape 

and  prostitution) 

Drug  abuse  violations 

Gambling 

Offenses  against  family  and  children 

Driving  under  the  influence 

Liquor  laws  

Drunkenness 

Disorderly  conduct 

Vagrancy         

All  other  offenses  (except  traffic) 

Suspicion  (not  included  in  totals) 

Curfew  and  loitering  law  violations 

Runaways 


3,088,585 


3.698 

8.052 

24.261 

81.369 

118.557 

358.737 

35.523 

4.877 


117.380 
517.694 


635.074 


8.427 


3,182,4«9 


3.652 

7,864 

22.212 

82.863 

115.631 

371.438 

38,420 

4.574 


116,591 
530,063 


646.654 


176.601 

180.080 

23.246 

24,365 

106,499 

106,317 

3,685 

3.626 

35,602 

37,196 

73,704 

73.113 

44.210 

43,296 

7,471 


24.771 

24.709 

185,569 

210,313 

3,645 

2,927 

18,824 

18.581 

564,083 

562.846 

151,891 

164,724 

193,114 

187,396 

143,158 

139,895 

4,415 

4.473 

626,233 

680,285 

2.828 

2.960 

18,522 

18,494 

47,312 

45,708 

+3,0 


564,316 


556,963 


-1.3 


2,524,269 


2,625,506 


-1-2 
-2.3 
-8.4 
+  1.8 
-2.5 
+3.5 
+8.2 
-6.2 


261 

1,204 

4,570 

10.820 

46.279 

121,799 

14.385 

2.277 


284 

1,207 

4.366 

11.128 

44.616 

121.424 

15.498 

2.233 


+8.8 
+  .2 
^.5 
+2.8 
-3.6 
-.3 
+  7.7 
-1.9 


3.437 

6.848 

19,691 

70.549 

72.278 

236,938 

21.138 

2.600 


-.7 
+2.4 


16.855 
184,740 


16,985 
183,771 


100,525 
332,954 


201,595 


200.756 


433.479 


+2.0 

+48 

-.2 

-1.6 

+4.5 

-.8 

-2.1 

-11.3 

-.3 

+  13.3 

-19.7 

-1.3 

-.2 

+8.4 
-30 
-2.3 
+  1.3 
+  8.6 
+4.7 
-.2 
-3.4 


28.847 

2.205 

2.071 

220 

9.411 

35.830 

7.581 

190 

4.612 

21.076 

125 

712 

8,715 

52,875 
8,501 

29,101 
970 

83,845 
1,180 

18,522 

47,312 


29.154 

2.192 

1,822 

229 

9,706 

35.152 

7.162 

160 

4.403 

21.446 

63 

787 

7.721 

52.859 
6.831 

27.591 
1.012 

83,715 
1,281 

18,494 

45,708 


+  1.1 

-.6 

-12.0 

+4.1 

+3.1 
-1.9 
-5.5 

-15.8 

^.5 

+  1 

-49.6 
+  10.5 
-11.4 

(') 
-19.6 

-5.2 
+4.3 

-.2 
+8.6 

-.2 
-3.4 


147,754 

21,041 

104,428 

3,465 

26,191 
37,874 
36,629 

8,237 

20,159 

164,493 

3,520 

18,112 
555,368 

99,016 
184,613 
114,057 
3,445 
542,388 
1,648 


3,368 

6,657 

17,846 

71,735 

71,015 

250,014 

22,922 

2,341 


99,606 
346,292 


445,898 


150,926 

22,173 

104,495 

3,397 

27,490 
37,961 
36,134 

7,311 

20,306 

188,867 

2,864 

17.794 
555,125 

111,865 
180,565 
112,304 

3,461 
596,570 

1,679 


+4.0 


-2.0 
-2.8 
-9.4 
+  1.7 
-1.7 
+5.5 
+8.4 
-10.0 


-.9 
+4.0 


+2.9 


+2.1 

+5.4 

+.1 

-2.0 

+5.0 
+.2 
-1.4 

-11.2 

+.7 

+  14.8 

-18.6 

-1.8 

(') 

+13.0 
-2.2 
-1.5 
+.5 

+10.0 
+1.9 


'Includes  suburban  city  and  county  law  enforcement  agencies  within  metropolitan  areas.  Excludes  central  cities.  Suburban  cities  and  counties  are  also  included  in  other  groups. 

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

^Property  crimes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson. 

^Includes  arson. 

'Less  than  one-tenth  of  1  percent. 


212 


Table  58. —  Suburban  Area'  Arrest  Trends,  Sex,  1986-1987 
[4,347  agencies;  1987  estimated  population  73.347,000] 


Offense  charged 


Percent 
change 


Percent 
change 


Percent 
change 


Percent 
change 


TOTAL . 


Murder  and  nonnegligent 

manslaughter  

Forcible  rape 

Robbery 

Aggravated  assault 

Burglary 

Larceny-theft 

Motor  vehicle  theft 
Arson 


Violent  crimed.. 
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  lavfs 

Drunkenness 

Disorderly  conduct 

Vagrancy  

All  other  offenses  (except  traffic) .... 
Suspicion  (not  included  in  totals)..  . 
Curfew  and  loitering  law  violations 
Runaways    


2,547,162 


2.609,838 


+2.5 


439,190 


431,480 


-1.8 


541,423 


572,631 


+5.8 


125,126 


125,483 


3.292 

7.940 

22.470 

71.595 

109.150 

249.048 

32.094 

4.298 


105,297 
394,590 


499,887 


149,343 

15,222 

55,579 

2.362 

31,500 
66,461 
41,270 


3.295 

23.514 

157.209 

3.173 

16,732 
495,997 

123,886 

174879 

120,753 

3,565 

528,063 

2,359 

13,679 

20,793 


3,163 

7,783 

20.477 

72,722 

106.106 

253,809 

34,451 

4,007 


-3.9 
-2.0 
-8.9 
+  1.6 
-2.8 
+  1.9 
+7.3 
-6.8 


246 

1,174 

4.277 

9.257 

42.602 

90.573 

12.754 

2.059 


252 

1.184 

4,111 

9.470 

41,143 

89.051 

13.545 

2.002 


+  2.4 
+.9 
-3.9 
+2.3 
-3.4 
-1-7 
+7.0 
-2.8 


406 

112 

1.791 

9,774 

9,407 

109,689 

3.429 

579 


489 

81 

1,735 

10,141 

9,525 

117,629 

3,969 

567 


+20.4 
-27.7 
-3.1 
+3.8 
+  1.3 
+7.2 
+  15.7 
-2.1 


15 

30 

293 

1.563 

3.677 

31.226 

1,531 

218 


104,145 
398,373 


14.954 
147.988 


15,017 
145.841 


+  .4 
-1.5 


12,083 
123,104 


12,446 
131,690 


+3.0 
+7.0 


1,901 
36,752 


502,518 


+  .5 


162.942 


160,858 


-1.3 


135,187 


144,136 


+6.6 


38,653 


151,870 

15,870 

55,783 

2,260 

32,648 
55.759 
40.366 


2.746 

23.417 

177.006 

2.471 

16,277 
494.333 

132.934 

159.127 

117,240 

3,717 

559,501 

2,506 

13,661 

20,324 


+  1.7 

+43 

+.4 

-A.i. 

+  3.6 
-1.0 
-2.2 


-15.7 

-.4 
+  12.5 
-22.1 

-2.7 
-.3 

+7.3 
-3.3 
-2.9 
+43 
+7.8 
+5.8 
-.1 
-2.3 


22,704 

1,492 

1.433 

139 

8.562 

32.687 

7.187 


77 

4.294 

17.541 

111 

482 

7,555 

39,048 

7.198 

23.871 

797 
56,497 

933 
13,579 
20,793 


22,822 

1,475 

1,231 

145 

8.820 

32.078 

6.748 


67 

4123 

18.181 

58 

508 

6,580 

38,387 
5,574 

22,509 
863 

66,166 
1,051 

13,661 

20,324 


+.5 

-1.1 

-141 

+  5.0 

+3.0 
-1.9 
-6.1 


-13.0 

^.0 
+3.1 

-47.7 
+54 

-11.6 

-1.7 

-21.2 

-5.3 

+8.3 

-.5 

+  12.6 

-.1 

-2.3 


27,258 
8.024 

50.920 
1,323 

4,102 
7,243 
2,940 


5,132 

1.257 

28,360 

472 

2,092 
68.086 

28,005 

18,235 
22,405 

850 
98,170 

459 

4,843 

25,519 


28,210 
8,495 

50,534 
1,356 

4548 
7,344 
2,930 


4725 

1,292 

33.307 

456 

2,304 
68,513 

31,790 

18,259 

22,655 

756 

110,784 

454 

4833 

25,384 


+3.5 

+5.9 

-.8 

+3.3 

+  10.9 

+  1.4 

-.3 


-7.9 

+2.8 
+  17.4 

-3.4 

+  10.1 

+.6 

+  13.5 

+.2 

+  1.1 

-11.1 

+  12.8 

-1.1 

-.2 

-4.3 


6,143 

713 

638 

81 

849 

3,143 

394 


113 

318 

3,435 

14 

230 
1,159 

13,827 

1,303 

5,230 

173 

17,348 

247 

4843 

26,519 


32 

23 

255 

1.658 

3.473 

32.373 

1.853 

231 


1.968 
37.930 


39,898 


5,332 

716 

591 

83 

886 

3,074 

414 


93 

280 

3,265 

5 

279 
1,041 

14,472 

1.157 

4,982 

149 

17,549 

230 

4.833 

25,384 


+.3 


+  113.3 
-23.3 
-13.0 
+6.1 
-5.5 
+37 
+  13.6 
+6,0 


+3.5 
+3.2 


+3.2 


+3.1 

+.4 

-7,4 

+2.5 

+4.4 
-2.2 
+5.1 


-17.7 

-11.9 
-4.9 
-64.3 
+21.3 
-10.2 

+47 
-11.2 

-4.7 
-13.9 

+  1.2 

-5.9 
-.2 

■A.} 


'Includes  surburban  city  and  county  law  enforcement  agencies  within  metropolitan  areas.  Excludes  central  cities.  Suburban  cities  and  counties  are  also  included  in  other  groups 
^Violent  crimes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault. 
'Property  crimes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson. 
'Includes  arson. 


213 


Table  59. —  Suburban  Area'  Arrests,  Distribution  by  Age,  1987 

[5,088  agencies;   1987  estimaled  population  82.894.000] 


OfTense  charged 


Total 
all 
ages 


Ages 

under 

15 


Ages 

under 

18 


Ages 
18  and 


Age 


Under 
10 


TOTAL 

Percent  distribution' . 


Murder  and  nonnegligent 
manslaughter 

Forcible  rape 

Robbery 

Aggravated  assault 

Burglary 

Larceny-theft 

Motor  vehicle  theft 

Arson 


Violent  crime  

Percent  distribution'.. 

Property  cnme^    

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  


3,594,124 
100.0 


4.111 

9,024 

25,736 

92,424 

129,729 

424,242 

42,171 

5,370 


131,295 
100.0 

601,512 
100.0 


732,807 
lOO.O 


207,940 
27,970 
118,686 

3,957 

42,588 
85,012 

48,608 


9,425 

27,966 

237,222 

3,429 

21,973 
622,694 

184,298 

214,379 

167,808 

5,139 

757,397 
3,105 

20,813 
50,908 


194.646 
5.4 


631,780 
17,6 


2,962,344 
82.4 


16,070 
.4 


48,086 
1.3 


130,490 
3.6 


114,349 

3.2 


150,669 
4.2 


172,116 
4,8 


180,585 
5.0 


174,303 
4.8 


163,203 
4.5 


32 

443 

1.137 

3.771 

17,441 

54,889 

3,942 

1,562 


319 

1,379 

5,067 

12,514 

50,204 

138,261 

17.042 

2,508 


3,792 

7,645 

20,669 

79.910 

79,525 

285,981 

25.129 

2.862 


3 

17 

44 

334 

1,467 

4,784 

53 

411 


7 

93 

217 

963 

4,522 

16,010 

425 

478 


22 

333 

876 

2,474 

11,452 

34,095 

3,464 

673 


37 

266 

899 

2,062 

9,533 

24,191 

4,084 

369 


96 

327 

1,334 

3,002 

11,191 

29,390 

4,757 

315 


154 

343 

1.697 

3,679 

12,039 

29,791 

4,259 

262 


197 

381 

1,846 

3,312 

10,456 

26,150 

3,231 

228 


191 

345 

1,614 

3,432 

8,153 

20,707 

2,543 

215 


183 

380 

1,487 

3.566 

6,779 

17,253 

2,014 

169 


5,383 

4.1 

77,834 

12.9 


19.279 

14.7 

208,015 

34.6 


112.016 
85.3 

393,497 
65.4 


398 

.3 

6,715 

1.1 


1,280 

1.0 

21,435 

3.6 


3,705 

2.8 

49,684 

8.3 


3,264 

2.5 

38,177 

6.3 


4,759 

3.6 

45,653 

7.6 


5,873 

4.5 

46,351 

7.7 


5,736 

4.4 

40,065 

6.7 


5,582 

4.3 

31,618 

5.3 


5,616 

4.3 

26,215 

4.4 


83,217 
11.4 


227,294 
31.0 


505,513 
69.0 


7,113 
1.0 


22,715 
3.1 


53,389 
7.3 


41,441 

5.7 


50,412 
6.9 


52,224 
7.1 


45,801 
6.3 


37,200 
5.1 


31,831 
4.3 


11,947 
361 

274 
23 

2,821 
19,152 

2,136 


20 

2,229 

2,869 

12 

275 
139 

3,945 
833 

9,720 
272 

28,322 
418 

5,636 
20,025 


33,365 
2.484 
2,029 

242 

11.201 
40.357 

8,109 


212 

4,960 
24.196 

75 

862 
8,468 

58,764 
7,665 

32,670 
1,097 

94,681 

1,328 

20,813 
50.908 


174,575 
25,486 
116,657 

3,715 

31,387 
44,655 

40,499 


9,213 

23,006 

213.026 

3,354 

21,111 
614,226 

125,534 

206,714 

135,138 

4,042 

662.716 

1.777 


997 
9 

27 
2 

112 
2,804 

96 


158 
136 


50 
36 

150 

48 

826 

17 

2,518 
40 

113 
817 


3,348 
63 

52 
10 

546 
6,055 

433 


600 
262 


44 
13 

262 
56 

2.627 
51 

6,514 
102 

891 
3,440 


7,602 

289 

195 

II 

2.163 
10.293 

1.607 


17 

1.471 

2,471 

12 

181 
90 

3,533 
729 

6,267 
204 

19,290 
276 

4,632 
15,768 


5,819 

351 

290 

18 

2,124 
6,492 


29 

892 

3,908 

19 

172 
310 

7.551 

1,224 

5,512 

213 

17,761 
266 

4,927 
13,532 


7,191 

658 

431 

68 

2,972 
7,337 

2,055 


67 

902 

7,064 

12 

210 
2,109 

17,887 

2,055 

7,935 

278 

22,440 
355 

6,202 
12,029 


8,408 

1.114 

1.034 

133 

3,284 
7,376 

2,420 


96 

937 

10,355 

32 

205 
5,910 

29,381 

3,553 

9,503 

334 

26,158 
289 

4,048 
5,322 


7,719 

1,384 

2,198 

180 

3,253 
5,457 

2,726 


306 

912 

12,980 

42 

581 
13,682 

32,781 

6,110 

10,019 

314 

33,961 
179 


8,073 

1,558 

3,381 

183 

2,866 
4,264 

2,624 


407 

950 

13,270 

39 

515 
17,613 

27,666 

6,777 

9,481 

310 

36,971 
155 


8,001 

1,509 

4,317 

205 

2,339 
3,379 

2,345 


456 

908 

13,009 

42 

632 
21,177 

19,327 

7,100 

8,969 

233 

37,310 
114 


See  footnotes  at  end  of  table. 


214 


Table  59. —  Suburban  Area'  Arrests,  Distribution  by  Age,  1987  —  Continued 


Age 

OfTcnsc  charged 

22 

23 

24 

25-2') 

30-34 

35-39 

40-44 

45-49 

50-54 

55-59 

60-64 

65  and 
over 

TOTAL 

156.432 
4.4 

155,959 
4.3 

151,630 

4.2 

645,770 
18.0 

450,245 
12.5 

288,014 
8.0 

172,662 
4.8 

102,983 
2.9 

64,657 
1.8 

43,150 
1.2 

27,238 
.8 

26,588 

.7 

Murder  and  nonnegligent 

191 

353 
1.339 
3.984 
5.203 
14.201 
1.571 
156 

177 

387 

1.290 

4.116 

4.767 

13.431 

1.491 

154 

184 

366 

1,226 

4,179 

4.145 

12.807 

1.269 

125 

792 

1.741 

4.989 

18.455 

16,247 

54,420 

5,005 

552 

560 

1.246 

2.833 

13.585 

9.467 

41,620 

3,048 

436 

402 

895 

1,487 

8,698 

4,710 

26.812 

1.588 

250 

286 

495 

550 

5.222 

2,025 

14,874 

779 

165 

162 
277 
260 

3,058 
919 

8,892 

432 

97 

108 
158 
121 

1.755 
418 

6,104 

247 

61 

65 

97 

78 

1,159 

231 

4,765 

116 

46 

41 
67 
23 
670 
125 
3,574 
37 
22 

76 

76 

Robbery                              

27 

720 

136 

5,003 

42 

12 

5.867 

4.5 

21,131 

3.5 

5,970 

4.5 

19.843 

3.3 

5.955 

4.5 

18.346 

3.0 

25,977 
19.8 

76,224 
12.7 

18,224 

13.9 

54,571 

9.1 

11.482 
8.7 

33.360 
5.5 

6,553 

5.0 

17,843 

3.0 

3,757 

2.9 

10,340 

1.7 

2,142 
1.6 

6,830 
l.I 

1,399 

1.1 

5,158 

.9 

801 

.6 

3,758 

.6 

899 

.7 

5.193 

.9 

26,998 

3.7 

25.813 
3.5 

24.301 
3.3 

102,201 
13.9 

72,795 
9.9 

44.842 
6.1 

24,396 
3.3 

14,097 
1.9 



8.972 
1.2 

5,557 
.9 

4,559 
.6 

6,092 

Percent  distribution^ 

.8 

9.095 
1,511 

5.420 
181 

1.846 
2.824 

2.283 

541 

909 

13.504 

68 

879 
29.400 

4.995 

8.985 

8.601 

203 

38,069 
120 

9.331 

1.518 

6.010 

184 

1.809 
2.600 

2.227 

582 

956 
13.644 

77 

961 
31.080 

4.090 

9.351 

7.863 

205 

37.566 
92 

9.518 

1.372 

6.012 

175 

1.654 
2,456 

2,131 

558 

901 

13,189 

76 

999 
31,691 

3.302 
9.180 

7,373 
197 

36.465 
80 

41,376 

5,972 

27,113 

844 

6.310 
8,767 

8.642 

2.472 

4.552 

55.083 

438 

4,864 
141,577 

11.372 

42.373 

28.097 

853 

152.484 
380 

28.937 

4.199 

22.089 

619 

4,116 
5,318 

5,996 

1,626 

3.631 

33.849 

447 

4,407 
103,274 

6,124 

33,607 

17.822 

594 

100.552 
243 

17.980 

2.495 

15.650 

411 

2,383 
2,927 

3,765 

816 

2.777 

17.774 

426 

3,062 
70,705 

3,637 

24,536 

10,960 

386 

62,356 
126 

1 1.073 

1.285 

9.253 

267 

1.189 
1,573 

2,264 

379 

1,955 

7,460 

424 

1,784 
47,365 

2,139 

16,589 

6.556 

217 

36.424 
70 

6,326 
540 

4,927 
128 

638 
805 

1,293 

212 

1,213 

3,266 

356 

841 
30.346 

1,448 

11,521 

3,873 

102 

21,010 
41 

3,560 

301 

2,419 

74 

370 
479 

756 

129 

779 

1,406 

309 

412 
20.277 

960 

8.302 

2.468 

66 

12.589 
29 

2,159 

119 

1,368 

44 

202 
291 

503 

83 

631 
708 
241 

191 
13,493 

653 

6,153 

1,596 

45 

8.099 
14 

1,321 

76 

744 

22 

119 
182 

284 

56 

438 
353 
160 

79 
8,318 

431 

4,026 

1,115 

24 

4,922 
9 

1,308 

57 

608 

14 

81 

210 

Weapons;  carrying, 

315 

Prostitution  and  commercialized 

56 

and  prostitution) 

Drug  abuse  violations 

Gambling    

Offenses  against  family  and 

575 
256 
148 

83 

6,806 

398 

3,257 

1.079 

33 

AD  other  offenses  (except 

5.202 

10 

Curfew  and  loitering  law 

1 

'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  cnmes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  asault. 

'Property  cnmes  are  offenses  of  burglary,  larceny-lheft.  motor  vehicle  theft,  and  arson. 

'Includes  arson. 


215 


Table  60.  —  Suburban  Area'  ArresU  of  Persons  under  15,  18,  21  and  25  Years  of  Age,  1987 
[5,088  agencies;   1987  estimated  population  82,894,000] 


OfTensc  charged 


Total 
all  ages 


Number  of  persons  arrested 


Under  18 


Percent  of  total  all  ages 


Under 
15 


Under 
18 


Under 
21 


Under 
25 


TOTAL 

Murder  and  nonnegligent  manslaughter 

Forcible  rape 

Robbei7 

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 


3,594,124 


4,111 

9,024 

25,736 

92,424 

129,729 

424,242 

42,171 

5,370 


131,295 
601,512 


732,807 


207,940 
27,970 

118,686 
3,957 
42,588 
85,012 
48,608 

9,425 

27,956 

237,222 

3,429 

21,973 

622,694 

184,298 

214.379 

167,808 

5,139 

757,397 

3,105 

20,813 

50.908 


194,64« 


631,780 


1,149,871 


1,772,817 


5.4 


17.6 


32 

443 

1,137 

3,771 

17,441 

54,889 

3,942 

1,562 


319 

1,379 

5,067 

12.514 

50.204 

138,261 

17,042 

2,308 


890 

2,485 

10,014 

22,824 

75,592 

202,371 

24,830 

3,120 


1,619 

3,972 

15,368 

39,102 

95,451 

258,178 

30,877 

3,729 


4.9 
4.4 
4.1 
13.4 
12.9 
9.3 
29.1 


7.8 
15.3 
19.7 
13.5 
38.7 
32.6 
40.4 
46.7 


5,383 
77,834 


19,279 
208,015 


36,213 
305,913 


50,061 
388,235 


4.1 
12.9 


14.7 
34.5 


83,217 


227,294 


342,126 


448,296 


11.4 


31.0 


11,947 

361 

274 

23 

2,821 

19,152 

2,136 

20 

2,229 

2,869 

12 

275 

139 

3,945 

833 

9,720 

272 

28.322 

418 

5.636 

20,025 


33,365 
2,484 
2,029 
242 
11,201 
40,357 
8,109 

212 

4,950 

24,196 

75 

852 

8.458 

58,754 
7,655 

32,670 
1,097 

94,681 
1.328 

20,813 

50,908 


57,158 
6,935 
11,925 
810 
19,659 
53,457 
15,804 

1,381 
7,730 

63,455 

198 

2,590 

60.940 

138,538 

27,652 

61,139 

1,954 

202,923 

1,776 

20,813 

50,908 


93,900 
12,926 
34,515 
1,534 
27,180 
64,450 
24,790 

3,596 

11.415 

117.067 

480 

6.250 

180,533 

157,136 

54,015 

94,242 

2,819 

353,759 

2,183 

20,813 

50,908 


5.7 

1.3 
.2 
.6 

6.6 
22.5 

4.4 

.2 
8.0 
1.2 

.3 
1.3 
(') 

2.1 

.4 

5.8 

5.3 

3,7 

13.5 

271 

39.3 


16.0 

8.9 

1.7 

5.1 

25.3 

47.5 

16.7 

2.2 
177 
10.2 
2.2 
3.9 
1.4 

31.9 

3,6 

19.5 

21.3 

12.5 

42.8 

100.0 

100.0 


32.0 


21.5 
27.5 
38.9 
24.7 
58.3 
47.7 
58.9 
58.1 


27.6 
50.9 


46,7 


27.5 
24.8 
10.0 
20.5 
46.2 
62.9 
32.5 

14,7 
27.5 
26.7 

5,8 
11,8 

9,8 

75,2 
12,9 
36.4 
38,0 
26.8 
57,2 
100,0 
100.0 


49.3 


39.4 
44.0 
59.7 
42.3 
73.6 
60.9 
73.2 
69.4 


45.7 
54.5 


61.2 


45.2 
46.2 
29.1 
38.8 
63.8 
75.8 
51.0 

38.2 
40.8 
49.3 
14.0 
28.4 
29.0 

85.3 
29.9 
56.2 
54,9 
46.7 
70,3 
100.0 
100.0 


'Includes  suburban  city  and  county  law  enforcement  agencies  within  metropolitan  areas.  Excludes  central  cities.  Suburban  cities  and  counties  are  also  included  in  other  groups. 

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

^Properly  crimes  arc  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson. 

'Includes  arson. 

'Less  than  one-tenth  of  1  percent. 


216 


;  L 


Table  61.  —  Suburban  Area'  Arrests,  Distribution  by  Sex,  1987 

[5,088  agencies;   1987  estimated  population  82.894,000] 


OfTense  charged 


Number  of  persons  arrested 


Percent 
male 


Percent 
female 


Percent  distnbution^ 


Male 


Female 


TOTAL 

Murder  and  nonnegligent  manslaughter 

Forcible  rape 

Robbery 

Aggravated  assault 

Burglary 

Larceny-thefl 

Motor  vehicle  theft 

Arson 

Violent  crime' 

Property  crime' 

Crime  Index  total* 

Other  assaults 

Forgery  and  counterfeiting 

Fraud     

Embezzlement 

Stolen  property:  buying,  receiving,  possessing 

Vandalism 

Weapons;  carrying,  possessing,  etc 

Prostitution  and  commercialized  vice 
Sex  offenses  (except  forcible  rape  and 

prostitution) 

Drug  abuse  violations 

Gambling 

OfTenses  against  family  and  children 

Driving  under  the  influence 

Liquor  laws 

Drunkenness 

Disorderly  conduct 

Vagrancy  

All  other  offenses  (except  traffic) 

Suspicion         

Curfew  and  loitering  law  violations 

Runaways  


3,594,124 


4.111 

9.024 

25.736 

92.424 

129.729 

424.242 

42.171 

5.370 


131.295 
601.512 


732.807 


207,940 
27,970 

118,686 
3,957 
42,588 
85,012 
48,608 

9,425 

27,966 

237,222 

3,429 

21,973 
622,694 

184,298 

214,379 

167.808 

5.139 

757,397 

3.105 

20813 

50.908 


2.947,168 


646.956 


82.0 


18.0 


3,570 

8,935 

23,696 

81,024 

119,322 

289,445 

37,780 

4,711 


117,225 
451,258 


568,483 


175,412 
18,196 
62,516 
2.492 
37,388 
76,474 
45,298 

3,529 

26,522 

199.994 

2.898 

19.319 
547.066 

148.782 

193.621 

140.543 

4.279 

633.844 

2.641 

15,356 

22,515 


541 

89 

2,040 

11,400 

10,407 

134,797 

4,391 

659 


86.8 
99.0 
92.1 
87.7 
92.0 
68.2 
89.6 
87.7 


13.2 

1.0 

7.9 

12.3 

8.0 

31.8 

10.4 

12.3 


14.070 
150254 


89.3 
75.0 


107 
25.0 


164.324 


77.6 


22.4 


32,528 
9,774 

56.170 
1.465 
5.200 
8,538 
3,310 

5,896 

1,444 

37,228 

531 

2,654 

75,628 

35,516 

20,758 

27,265 

860 

123,553 

464 

5.457 

28,393 


84.4 
65.1 
52.7 
63.0 
87.8 
90.0 
93.2 

37.4 

94.8 
84.3 
84.5 
87.9 
87.9 

80.7 
90.3 
83.8 
83.3 
83.7 
85.1 
73.8 
44.2 


156 
34.9 
47.3 
37.0 
12.2 
10.0 
6.8 

62.6 

5.2 

15.7 
15,5 
12.1 
12.1 

19.3 
9.7 
16.2 
16.7 
16.3 
14.9 
26.2 
55.8 


100.0 


.1 

.3 

.7 

2.6 

3.6 

11.8 

1.2 

.1 


3.7 
16.7 


20.4 


5.8 
.8 
3.3 
.1 
1.2 
2.4 
1.4 


6.6 

I 
,6 

17.3 

5.1 

6.0 

4.7 

.1 

21.1 

I 

.6 
1.4 


100.0 


.1 

.3 
.8 
2.7 
4.0 
9.8 
1.3 
.2 


4.0 
15.3 


19.3 


6.0 
.6 
2.1 
.1 
1.3 
2.6 
1.5 

.1 

.9 
6.8 

.1 

.7 

18.6 

5.0 

6.6 

4.8 

.1 

21.5 

.1 

.5 


100,0 


.1 

(') 

.3 
1.8 
1.6 
20.8 
.7 
.1 


2.2 
23.2 


25.4 


5,0 
1.5 
8.7 
.2 
.8 
1.3 
.5 


.2 

S.8 

.1 

.4 
11.7 

5.5 

3.2 

4.2 

.1 

19.1 

.1 

.8 

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. 

^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. 


217 


Table  62.  —  Suburban  Area'  Arrests,  Distribution  by  Race,  1987 

[5,050  agencies;   1987  estimated  population  82,570,000] 


Offense  charged 


American 
Indian 


Alaskan 
Native 


Pacific 
Islander 


Percent  distribution" 


American 
Indian 


Alaskan 
Native 


Pacific 
Islander 


TOTAL 

Murder  and  nonnegligeni  manslaughter 

Forcible  rape 

Robbery     

Aggravated  assault 

Burglary    

Larceny-theft 

Motor  vehicle  theft 

Arson  

Violent  cnme' 

Propeily  crime' 

Crime  Index  total' 

Other  assaults 

Forgery  and  counterfeiting *..., 

Fraud        

Embezzlement 

Stolen  property;  buying,  receiving,  possessing 

Vandalism  

Weapons;  carrying,  possessing,  etc 

Prostitution  and  commercialized  vice  

Sex  offenses  (except  forcible  rape  and  prostitution) 

Drug  abuse  violations 

Gambling     :.... 

Offenses  against  family  and  children 

Dnving  under  the  influence  

Liquor  laws... 

Drunkenness 

Disorderly  conduct 

Vagrancy    

All  other  offenses  (except  trafTic) 

Suspicion  

Curfew  and  loitering  law  violations 

Runaways 


3,571,458 


4,103 

8,999 

25,682 

92,229 

129,384 

423,285 

42,071 

5,353 


131,013 
600,093 


731,106 


207,615 
27,861 

118,555 
3,957 
42,423 
84.763 
48,456 

9.421 

27.905 

236.409 

3.425 

21.831 

609.649 

183,563 

213,737 

167,264 

5,127 

754,328 

3,081 

20,394 

50,588 


2,879,450 


665,684 


13,607 


12,717 


100.0 


80.6 


2.738 

6,044 

12,377 

65.085 

99.507 

306.298 

31.238 

4.526 


1.321 

2,877 

13,154 

26,355 

29,048 

112.604 

10,474 

774 


22 

44 

78 

391 

408 

1.606 

158 

28 


22 
34 

73 

398 

421 

2,777 

201 

25 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


66.7 
67.2 
48.2 
70.6 
76,9 
72.4 
74.3 
84.6 


86,244 
441,569 


43,707 
152.900 


535 
2.200 


527 
3.424 


100.0 
100.0 


65.8 
73.6 


527.813 


196,607 


2,735 


3,951 


100.0 


72.2 


157,387 
20,113 
85,292 
2,885 
29,545 
73,213 
36,738 

6,166 

24,311 

180,673 

2,192 

15,318 

566,499 

172,235 

187,350 

137,636 

3,935 

584,098 

2,653 

18,156 

45,242 


48,460 
7,603 
32,865 
1,048 
12,565 
11,082 
11.356 

3.151 
3.395 

54,788 
1,213 
6,444 

38,949 

10,241 

23,716 

28,663 

1,120 

164,881 

418 

2,152 

4,967 


909 

60 

210 

5 
150 
229 
111 

42 

81 

498 

3 

45 

1,891 

681 

2,144 

611 

44 

2,935 

6 

38 

179 


859 
85 
188 
19 
163 
239 
251 

62 

118 

450 

17 

24 

2,310 

406 

527 

354 

28 

2,414 

4 

48 

200 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
1 00.0 
100.0 
100.0 
100.0 
100.0 
100.0 


75.8 
72.2 
71.9 
72.9 
69.6 
86.4 
75.8 

65.4 
87.1 
76.4 
64.0 
70.2 
92.9 

93 

87.7 

82.3 

76.8 

77.4 

86.1 

89.0 


18.6 


32.2 
32.0 
51.2 
28.6 
22.5 
26.6 
24.9 
145 


33.4 
25.5 


26.9 


23.3 
27.3 
27.7 
26.5 
29.6 
13.1 
23.4 

33.4 
12.2 
23.2 
35.4 
29.5 
6.4 

5.6 
111 
17.1 
21.8 
21.9 
13.6 
106 

9.8 


.4 
.2 
.2 
.1 
.4 
.3 
.2 

.4 
.3 
.2 
.1 
.2 
.3 

.4 
1.0 
.4 
.9 
.4 
2 
.2 
.4 


See  footnotes  at  end  of  table. 


218 


Tabic  62.  —  Suburban  Area'  Arrests,  Distribution  by  Race,  1987  —  Continued 


Arrests  under 

8 

Percent  distnbution" 

OfTcnse  charged 

Indian 

Indian 

Total 

White 

Black 

or 
Alaskan 
Native 

Pacific 
Islander 

Total 

White 

Black 

or 
Alaskan 
Native 

Pacific 
Islander 

TOTAL 

628.699 

522,309 

101,839 

1,776 

2,775 

100.0 

83.1 

16.2 

.3 

.4 

Murder  and  nonnegligent  manslaughter 

319 

201 

111 

5 

2 

100.0 

63,0 

34.8 

1.6 

.6 

1.377 

839 

536 

2 

100.0 

60.9 

38.9 

.1 

Robbery     

5.056 

2,261 

2,761 

19 

15 

100,0 

44.7 

54.6 

.4 

.3 

Aggravated  assault 

12.481 

8,154 

4,242 

29 

56 

100,0 

65.3 

34.0 

.2 

.4 

50.032 

137.874 

16.986 

2.498 

41,528 

106,891 

12,782 

2,242 

8,127 

29,470 

4.014 

230 

167 

465 

59 

9 

210 

1.048 

131 

17 

100.0 
100.0 
100.0 
100.0 

83.0 
77.5 
75.3 
89.8 

16.2 

21.4 

23.6 

9.2 

.3 
.3 
.3 
.4 

.4 

.8 

.8 

.7 

19.233 
207.390 

11,455 
163,443 

7,650 
41,841 

55 
700 

73 
1.406 

100.0 
100,0 

59.6 
78.8 

39.8 
20.2 

.3 
.3 

,4 

Property  crime* 

Cnme  Index  total* 

.7 

226.623 

174.898 

49,491 

755 

1.479 

100,0 

77.2 

21.8 

.3 

.7 

33,293 
2,473 

24.156 
2.115 

8,901 
339 

101 

7 

135 
12 

1000 
100,0 

72.6 
85.5 

26.7 
13.7 

,3 
,3 

.4 

Forgery  and  counterfeiting 

.5 

Fraud 

2.027 
242 

1.601 
178 

408 
63 

4 

14 
1 

100.0 
100.0 

79.0 
73.6 

20.1 
26.0 

.2 

.7 

Embezzlement 

Stolen  property;  buying,  receiving,  possessing 

.4 

11.146 

7.906 

3,152 

35 

53 

100,0 

70.9 

28.3 

.3 

.5 

40.220 
8.083 

36.090 
6.268 

3,930 
1,743 

79 
10 

121 
62 

100.0 
1000 

89,7 

77,5 

9.8 
21.6 

,2 
.1 

,3 

,8 

212 

158 

53 

1 

100.0 

74.5 

25.0 

,5 

4.946 

4.105 

821 

5 

15 

100.0 

83.0 

16.6 

,1 

.3 

23.805 

19.212 

4,500 

43 

50 

100,0 

80-7 

18.9 

,2 

.2 

75 

27 

48 

100,0 

360 

64.0 

Offenses  against  family  and  children      .-.           

848 

754 

89 

4 

1 

100,0 

88.9 

10.5 

,5 

.1 

8.334 
58.499 

8.132 
56,989 

159 
1.256 

28 
141 

15 
113 

100,0 
100,0 

97,6 
97.4 

1.9 
2.1 

.3 
.2 

.2 

Liquor  laws 

.2 

7.595 
32.615 

7,179 
27,301 

318 
5.193 

76 
48 

22 

73 

100,0 
100.0 

94,5 
83,7 

4.2 
15,9 

1.0 
1 

.3 

.2 

1.091 

950 

124 

4 

13 

100,0 

87.1 

11,4 

.4 

1.2 

94.264 

79.704 

13,998 

217 

345 

100,0 

84.6 

14,8 

,2 

.4 

1.326 

1.188 

134 

2 

2 

100,0 

89.6 

10.1 

,2 

.2 

20.394 

18,156 

2,152 

38 

48 

100,0 

89.0 

10.6 

.2 

.2 

50,588 

45,242 

4.967 

179 

200 

100.0 

89.4 

9.8 

.4 

.4 

See  footnotes  at  end  of  table. 

219 


Table  62.  —  Suburban  Area'  Arrests,  Distribution  by  Race,  1987  —  Continued 


OfTensc  charged 


Arrests  18  and  over 


American 
Indian 


Alaskan 
Native 


Pacific 
Islander 


Percent  distnbution 


Ameiican 
Indian 


Alaskan 
Native 


Pacific 
Islander 


TOTAL. 


Murder  and  nonnegligent  tnanslaughter 

Forcible  rape 

Robbery 

Aggravated  assault 

Burglary 

Larceny-theft 

Motor  vehicle  theft 

Arson 


Violent  crime   ... 
Property  criine* . 


Crime  Index  total 


Other  assaults 

Forgery  and  counterfeiting 

Fraud 

Embezzlement 

Stolen  property:  buying,  receiving,  possessing  . 

Vandalism 

Weapons;  carrying,  possessing,  etc 


Prostitution  and  commercialized  vice 

Sex  offenses  (except  forcible  rape  and  prostitution).. 

Drug  abuse  violations 

Gambling 

Offenses  against  family  and  children 

Driving  under  the  influence 


Liquor  laws 

Drunkenness 

Disorderly  conduct 

Vagrancy 

All  other  offenses  (except  traffic) 

Suspicion 

Curfew  and  loitering  law  violations.. 
Runaways 


2,942,759 


3.784 

7,622 

20,626 

79,748 

79,352 

285,411 

25,085 

2,855 


111,780 
392,703 


504,483 


174,322 
25,388 

116,528 
3,715 
31,277 
44,543 
40,373 

9,209 

22,959 

212.604 

3,350 

20,983 

601,315 

125,064 
206.142 
134,649 

4,036 
660.064 

1,755 


2,357,141 


563,845 


11,831 


9,942 


100.0 


2,537 

5,205 

10,116 

56.931 

57,979 

199,407 

18,456 

2,284 


1,210 

2.341 

10,393 

22,113 

20,921 

83,134 

6,460 

544 


17 

42 

59 

362 

241 

1,141 

99 

19 


20 

34 

58 

342 

211 

1.729 

70 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


67.0 
68.3 
49.0 
71.4 
73.1 
69.9 
73.6 
80.0 


74.789 
278.126 


36,057 
111,059 


480 
1,500 


454 
2,018 


100.0 
100.0 


66.9 
70.8 


352,915 


147,116 


1,980 


2,472 


100,0 


70.0 


133,231 
17.998 
83.691 
2.707 
21.639 
37.123 
30.470 

6,008 

20.206 

161.461 

2,165 

14,564 

558,367 

115.246 
180,171 
110,335 

2,985 
504,394 

1,465 


39,559 
7,264 

32,457 

985 

9,413 

7.152 

9.613 

3.098 
2.574 

50.288 
1.165 
6,355 

38.790 

8.985 

23.398 

23,470 

996 

150,883 

284 


808 
53 
206 
5 
115 
150 
101 

42 

76 

455 

3 

41 

1.863 

540 

2.068 

563 

40 

2.718 

4 


724 

73 

174 

1 

110 
118 
189 

61 

103 

400 

17 

23 

2,295 

293 

505 

281 

15 

2.069 

2 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


76.4 
70.9 
71.8 
72.9 
69.2 
83.3 
75.5 

65.2 
88.0 
75.9 
64.6 
69.4 
92.9 

92.1 
87.4 
81.9 
74.0 
76.4 
83.5 


19.2 


32,0 
30.7 
50,4 
27.7 
26.4 
29.1 
25,8 
19,1 


32,3 
28,3 


29.2 


22.7 
28.6 
27.9 
26.5 
30.1 
16.1 
23.8 

33.6 
11.2 
23.7 
34.8 
30.3 
6.5 

72 
11.4 
17.4 
24.7 
22.9 
16.2 


.5 
.2 
.2 
.1 
.4 
.3 
.3 

.5 
.3 
.2 
.1 
.2 
.3 

.4 
1.0 

.4 
1.0 

.4 

.2 


'includes  suburban  city  and  county  law  enforcement  agencies  within  metropolitan  areas.  Excludes  central  cities.  Suburban  cities  and  counties  are  also  included  in  other  groups. 

^Because  of  rounding,  the  percentages  may  not  add  to  total. 

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

^Property  cnmes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson. 

'Includes  arson. 


220 


Table  63.  — Arrests  by  State,  Crime  Index  Offenses,  1987 

[1987  estimated  population] 


Total' 

all 
classes 


Cnme' 
Index 
total 


Violent 
crime 


Property 
crime 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggravated 
assault 


Burglary 


Larceny- 
Ihefl 


Motor 
vehicle 
theft 


ALABAMA:  212  agencies; 
population  3.314,000: 

Under  18 

Total  all  ages 

ALASKA:  21  agencies: 
population  492,000: 

Under  18 

Total  all  ages 

ARIZONA:  84  agencies; 
population  3,046,000; 

Under  18 

Total  all  ages 

ARKANSAS:  177  agencies; 
population  2,330.000: 

Under  18 

Total  all  ages 

CALIFORNIA:  691  agencies; 
population  27,520,000: 

Under  18 

Total  all  ages 

COLORADO:  206  agencies; 
population  3,208.000: 

'   Under  18 

Tola!  all  ages 

CONNECTICUT:  91  agencies; 
population  2.463,000: 

Under  18 

Total  all  ages 

DELAWARE:  53  agencies; 
I  population  573,000: 

Under  18 

Total  all  ages 

DISTRICT  OF  COLUMBIA: 

1  agency; 
population  622,000: 

Under  18 

Total  all  ages 


FLORIDA:  696  agencies; 
population  11,796,000; 

Under  18 

Total  all  ages 


GEORGIA:  361  agencies; 
population  4,359,000: 

Under  18 

Total  all  ages 


.  HAWAII:  5  agencies; 

population  1,083,000: 
i  Under  18 

Total  all  ages 


IDAHO:  93  agencies; 
population  951,000: 

Under  18 

Total  all  ages 


ILLINOIS:  496  agencies; 
population  10,769,000: 

Under  18 

Total  all  ages 

See  roolnotes  at  end  of  table. 


9,874 
155,847 


7,657 
49,783 


43,231 
211,463 


12,675 

117,255 


216.743 
1.701.526 


45.301 
236.516 


27.901 
177.270 


3.961 
20.725 


6,377 
49,808 


97,697 
679,259 


9,676 
188,252 


16,139 
54,802 


11,859 
38,052 


109,812 
478,461 


4,295 
24,01 1 


3,016 
9,759 


16,508 
53.873 


5.145 
19.480 


89.144 
377.966 


16,362 
45,829 


9,735 
39,909 


1,643 
5,652 


2,282 
10,554 


50,349 
177,029 


4,408 
34,643 


5,711 
12,474 


5,050 
9,702 


39,322 
113,022 


344 
4,802 


112 
1,401 


976 
7,800 


312 
3,176 


12,024 
104.795 


1,005 
5,993 


1,000 
7,340 


147 
949 


572 
3,258 


6,671 
38,271 


418 
8,009 


290 
1,297 


279 
1,168 


3,805 
15,238 


3,951 
19,209 


2,904 
8.358 


15.532 
46.073 


4.833 
16.304 


77,120 
273,171 


15,357 
39,836 


8.735 
32,569 


1,496 
4,703 


1,710 
7,296 


43,678 
138,758 


3,990 
26,634 


5,421 
11,177 


4,771 
8,534 


35,517 
97,784 


12 
325 


24 


10 
178 


9 

147 


364 
3,054 


17 
165 


12 
164 


10 
131 


100 
1,021 


21 
465 


99 
1,089 


57 
470 


3 
123 


51 

278 


37 
366 


520 
4.542 


70 
441 


64 
366 


34 
151 


14 
111 


434 
2,078 


38 
566 


22 
143 


375 
1,695 


116 
932 


205 
1.110 


113 
636 


4.397 
23.327 


204 
1,007 


349 
1,659 


31 
180 


226 
990 


2.046 
9,532 


122 
1,660 


162 
470 


90 


2,162 
5,799 


159 
3,075 


99 
1,168 


710 
6,234 


153 
2,027 


6,743 
73,872 


714 
4,380 


575 
5,151 


80 
595 


322 
2,026 


4,091 
25,640 


237 
5,318 


100 
617 


260 
1,010 


1,169 
6,655 


775 
3,640 


524 
1,225 


2,878 
6,887 


1,184 
3,358 


21,027 
73.583 


2.501 
5,252 


1,841 
5,799 


280 
743 


202 
1,054 


13,472 
35,775 


1,110 
6,495 


882 
1,715 


997 
1,834 


6,361 
14,029 


2,947 
14,531 


2,191 
6,601 


11,700 
37,251 


3,367 
12,206 


42,246 
159,057 


11,374 
31,777 


6,020 
24,913 


1,157 
3,820 


363 

3,717 


24,980 
90,082 


2,620 
18,530 


3,911 
8,455 


3,570 
6,345 


26,110 
76,958 


203 
898 


173 
411 


787 
1,627 


248 
610 


12,861 
38,405 


1,269 

2.452 


779 
1,609 


51 
123 


1,141 
2,480 


4.988 
12,127 


236 
1,366 


592 
948 


159 

278 


2,751 
6,117 


221 


Table  63.  — Arrests  by  State,  Crime  Index  Offenses,  1987  —  Continued 


Tolal' 

all 
classes 


Crime' 
Index 
(Ola! 


Violent' 
cnme 


Property* 
cnme 


Murder 
and  non- 
negtigent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggravated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


INDIANA:  121  agencies; 
population  3,188,000: 

Under  18 

Total  all  ages 

IOWA:  222  agencies; 
population  2.777,000: 

Under  18 

Total  all  ages 

KANSAS:  129  agencies; 
population  1,987,000: 

Under  18 

Total  all  ages 

KENTUCKY': 

LOUISIANA:  81  agencies; 
population  2,663,000: 

Under  18 

Total  all  ages 

MAINE:  134  agencies; 
population  1,177,000: 

Under  18 

Total  all  ages 

MARYLAND:  80  agencies; 
population  3,394,000: 

Under  18 

Total  all  ages 

MASSACHUSETTS:  86 

agencies;  population  1,621,000; 

Under  18 

Total  all  ages 

MICHIGAN:  447  agencies; 
population  8,277,000: 

Under  18 

Total  all  ages 

MINNESOTA:  288  agencies; 
population  4.246,000: 

Under  18 

Total  all  ages 

MISSISSIPPI:  49  agencies; 
population  881,000: 

Under  18 

Total  all  ages 

MISSOURI:  159  agencies; 
population  3,066,000: 

Under  18 

Total  all  ages 

MONTANA': 

See  footnotes  at  end  of  table. 


29,389 
121,638 


19,187 
87.762 


19.529 
90,419 


18,124 
121.806 


9,361 
42,836 


27,481 
163,966 


7,481 
56,579 


58,721 
342,172 


39,155 
153,912 


6,113 

52,288 


26,985 
191.010 


9,662 
24.189 


7.282 
21,615 


7,612 
20,595 


8,305 
34,736 


4.098 
9.467 


12,333 
40,577 


2.934 
13.641 


24,300 
77.792 


15,942 
38,245 


2,791 
10,941 


10,934 
40,649 


974 
4,133 


416 

3,151 


533 
2,502 


936 
i.044 


157 
967 


1.807 
8,457 


461 
3,842 


3,674 
20,098 


958 
1,816 


170 
1.862 


1,844 
9.181 


8,688 
20.056 


6,866 
18,464 


7.079 
18,093 


7,369 
26,692 


3,941 
8,500 


10,526 
32,120 


2,473 
9,799 


20,626 
57,694 


14,984 
33.429 


2.621 

9.079 


9,090 
31,468 


7 
168 


19 
225 


26 
256 


214 
1.739 


12 
112 


6 

126 


35 
349 


22 
183 


33 
124 


39 
215 


62 
439 


112 
538 


27 
286 


370 
2,194 


85 
519 


38 
195 


167 
720 


165 

744 


80 

347 


106 

455 


146 
961 


48 
185 


707 
2.668 


137 
741 


1,010 
4,852 


263 
995 


48 
339 


465 
2,208 


780 
3.038 


302 
2,629 


381 
1.748 


709 
6.419 


104 
689 


962 
4.995 


291 
2,776 


2.080 
11.313 


598 
3,190 


78 
1,202 


1.177 
5.904 


1,453 
3,399 


1.306 
2.946 


1,511 
3,345 


1,881 
6,172 


878 
1,806 


2,242 
7.923 


786 
2,679 


4.656 
13.028 


2,287 
4.748 


778 
2,223 


2,000 
6.058 


6,460 

15.222 


5.109 
14,677 


5,149 
13.885 


5.184 
19.519 


2.708 
5.947 


5.811 
19,586 


1.181 
5,999 


14,095 
39,991 


10,876 
25,472 


1,690 
6,412 


6,195 
23,258 


689 

1,268 


348 
652 


357 
746 


250 
806 


275 
591 


2,314 
4,293 


463 
1,008 


1.641 
3.f 


1,663 
2,950 


135 

381 


773 
1,837 


222 


Table  63.  —  Arrests  by  State,  Crime  Index  Offenses,  1987  —  Continued 


Tolal' 

all 
classes 


Cnme' 
Index 
total 


Vjolenl' 
cnme 


Properly^ 
crime 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggravated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


NEBRASKA:  203  agencies; 
population  1,420,000: 

Under  18 

Tolal  all  ages     


NEVADA:  15  agencies; 
population  758,000: 

Under  18 

Total  all  ages 


NEW  HAMPSHIRE: 

agencies; 
population  829.000: 

Under  18 

Total  all  ages 


NEW  JERSEY:  533  agencies; 
population  7,371,000: 

Under  18 

Total  all  ages 


NEW  MEXICO:  44  agencies; 
population  898,000:' 

Under  18 

Total  all  ages 


■NEW  YORK:  547  agencies; 
ipopulation  16,589,000: 

:Under  18 

Total  all  ages 


'NORTH  CAROLINA:  320 

agencies; 

population  5,518,000: 

Under  18 

Total  all  ages 


NORTH  DAKOTA:  70  agencies; 
population  591,000: 

Under  18 

Total  all  ages 


OHIO:  284  agencies; 
population  6,591,000: 

Under  18 

Total  all  ages 


OKLAHOMA:  280  agencies; 
population  3,240,000: 

Under  18 

Total  all  ages    


OREGON:  166  agencies; 
population  2,620,000: 

Under  18 

Total  all  ages 


PENNSYLVANIA:  722  agencies; 
population  8,649,000: 

Under  18 

Total  all  ages 


RHODE  ISLAND:  42  agencies; 
population  930,000: 

Under  18 

Total  all  ages 

See  footnotes  at  end  of  table- 


12,203 
58.107 


9,566 
74,248 


7,235 
38,794 


91,225 
341,533 


9,810 
54,149 


158,302 
1,190,190 


30,878 
377,305 


6,161 
21,119 


61,331 
305,769 


22,342 
140,375 


28.010 
111,833 


85,907 
312,906 


8,343 
41,085 


4,905 
12,790 


2,931 
12,092 


1,908 
5,037 


24,040 
72,105 


3,942 
13,291 


43,803 
190,664 


12,790 
61,567 


2,190 
4,551 


18,914 
55,411 


10,198 
27,468 


11,708 
34,220 


21.706 
70,134 


2,595 
8,132 


123 
989 


239 
2,089 


79 

547 


4,101 
17,854 


285 
1,878 


11,610 
64.826 


1,379 
16,225 


24 
202 


1.667 
10,331 


701 
4,452 


484 

3,157 


3.332 
17.278 


266 
1.486 


4,782 
11,801 


2,692 
10,003 


1.829 
4.490 


19,939 
54,251 


3,657 
11,413 


32,193 
125,838 


11.411 
45,342 


2.166 
4.349 


17.247 
45.080 


9.497 
23,016 


11,224 
31,063 


18,374 
52,856 


2.329 
6.646 


20 


34 
250 


175 
1,525 


21 
468 


25 
418 


14 
203 


16 

148 


32 
550 


28 
171 


30 
243 


11 
116 


209 

1,275 


21 
117 


320 
2,393 


77 
807 


258 
1,209 


111 
437 


53 
319 


216 
1,354 


13 
130 


53 
248 


71 
646 


29 
128 


1,644 

4,773 


62 

227 


6,560 
27,008 


272 
1,869 


678 
3,171 


159 
909 


221 
1,285 


1,768 
6,512 


39 
247 


40 
529 


135 
1,123 


35 
283 


2,214 
11,556 


193 
1,469 


4,555 
33,900 


1,009 
13,081 


13 
148 


706 
5,533 


417 
2,903 


194 
1,405 


1,316 
8,862 


214 
1,091 


651 
1,455 


554 
2,075 


411 
833 


4,551 
10,652 


603 
1,563 


7,079 
24,838 


3,146 
12,871 


283 
520 


3,480 
8,647 


2,432 
5,992 


2,155 
5,319 


4,162 
11.907 


640, 
1,704^ 


3.937 
9.931 


1.991 
7,483 


1,273 
3,376 


13,405 
39.847 


2.883 
9.360 


20.624 
85.147 


7.446 
29,937 


1,693 
3,492 


12,049 
32,992 


6,083 
14,834 


7,974 
23,033 


11,633 
35,043 


1,487 

4,457 


154 
325 


139 
405 


127 

248 


1,771 
3,223 


148 
387 


4,059 
14,682 


736 
2,160 


162 

227 


1,502 
2,876 


801 
1,860 


922 
2,442 


2,290 
5,103 


175 
418 


223 


Table  63.  —  Arrests  by  State,  Crime  Index  Offenses,  1987  —  Continued 


Total' 

all 
classes 


Cnme* 
Index 
total 


Violent 
cnme 


Property^ 
cnme 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggravated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


SOUTH  CAROLINA:  131 

agencies;  population  3,013,000: 

Under  18 

Total  all  ages 

SOUTH  DAKOTA:  Sf  agencies; 
population  333,000: 

Under  18 

Total  all  ages 

TENNESSEE:  133  agencies; 
population  2,572,000: 

Under  18 

Total  all  ages 

TEXAS:  760  agencies; 
population  16,442,000: 

Under  18 

Total  all  ages 

UTAH:  86  agencies; 
population  1,466,000: 

Under  18 

Total  all  ages 

VERMONT:  20  agencies; 

population  404,000; 

Under  18 

Total  all  ages 

VIRGINIA:  393  ageticies; 
population  5,800,000: 

Under  18  

Total  all  ages 

WASHINGTON:  152  agencies; 
population  3,612,000: 

Under  18 

Total  all  ages 

WEST  VIRGINIA:  294  agencies; 
population  1,877.000: 

Under  18     

Total  all  ages 

WISCONSIN:  245  agencies; 
population  4,442,000: 

Under  18 

Total  all  ages 

WYOMING:  71  agencies; 
population  489,000: 

Under  18 

Total  all  ages 


14,845 
146,232 


3,598 
15.740 


17,649 
133,293 


134,993 
858,452 


28,933 
83,781 


1,180 
9,627 


37.683 
342,369 


37,002 
174,666 


5.873 
63,065 


82.272 
293.017 


4.530 
21.640 


6.868 

25,357 


1,223 
2.819 


6,353 
23,487 


53,351 
191.437 


12.106 
22,738 


593 
2,226 


12,422 
49,626 


16.766 
44.655 


2.449 
10.190 


23.844 
55.399 


1,256 
3,449 


664 

5.462 


34 
233 


735 
5,155 


3.565 
27.276 


619 
1,783 


24 
257 


937 
8,154 


648 

4,340 


100 
1.495 


1.282 
6.522 


40 
464 


6.204 
19.895 


1,189 
2.586 


5,618 
18,332 


49,786 
164.161 


11,487 
20,955 


559 
1,969 


11,485 
41,472 


16.118 

40.315 


2.349 
8,695 


22,562 
48,877 


1,216 
2,985 


19 
270 


24 
210 


146 

1,457 


19 
426 


12 

125 


29 
262 


102 
641 


141 
532 


256 
2.120 


25 
126 


87 
820 


94 
590 


12 

137 


130 
714 


127 
836 


246 
1.124 


1.326 
7.538 


105 
307 


417 
2,019 


131 
818 


34 
296 


395 
1.272 


416 
3.715 


19 
168 


324 
3.289 


1,837 
16,161 


484 
1,312 


19 
204 


414 


411 
2,807 


49 
982 


728 
4,274 


28 
363 


1,778 
5.012 


170 

377 


1,058 
3.670 


13.530 
35.440 


1.458 
2.435 


171 
507 


2.601 
7,800 


3.061 
6.512 


659 
2,005 


3,491 
6,539 


185 
486 


4,011 
13.884 


972 
2.109 


3,742 
12.892 


31.617 
115,256 


9,191 
17.318 


376 
1.391 


7.714 
30,518 


11,870 
31.560 


1.443 
6.081 


17.009 
38.949 


952 
2.334 


359 
805 


780 
1.596 


4,346 
12,600 


714 
1,033 


1.031 
2.742 


1,027 
1,920 


217 
506 


1,825 
3,008 


61 
138 


'Does  not  include  traffic  arrests. 

Includes  arson. 

Violent  crime  includes  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault. 
*Property  crime  includes  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson. 

^Complete  arrest  data  were  not  available  at  the  deadline  for  publication  of  this  table.  Complete  data  may  now  be  available  from  the  State  Uniform  Crime  Reporting  Program 
listed  in  Appendix  V, 

NOTE:  Direct  compansons  of  arrest  totals  listed  in  this  table  should  not  be  made  with  prior  years'  issues. 


224 


Table  64.  —  Police  Disposition  of  Juvenile  Offenders  Taken  into  Custody,  1987 

(1987  estimated  population] 


Population  group 

Total' 

Handled 

within 

depanmeni 

and  released 

Referred  to 

juvenile 

court 

junsdicnon 

Referred  lo 
welfare 
agency 

Referred  lo 

other  police 

agency 

Referred  to 
criminal  or 
adult  court 

TOTAL  ALL  AGENCIES:  8,692  agencies;  population  167.697,000: 

1,172,585 
100.0 

355,602 
30.3 

726,634 
62.0 

16,807 
1.4 

12,289 
1.0 

61,253 

Percent' 

5.2 

TOTAL  CITIES:  5,838  cities:  popularion  113,511,000: 

983,672 
100.0 

301,706 
30.7 

607,787 
61.8 

13,341 
1.4 

10.130 
1.0 

50,708 

Percent  

5.2 

Group  I 

49  cities,  250.000  and  over;  population  31,494.000: 

253,667 
100.0 

75,515 
29.8 

169,013 
66.6 

3.485 
1.4 

2,679 
1.1 

2,975 

1.2 

Group  II 

96  cities,  100,000  to  249,999;  population  13,772,000: 

112,254 
1000 

33,227 
29.6 

73,937 
65.9 

1,500 
1.3 

627 
.6 

2.963 

Percent                                                                                     

2.6 

133,924 

100.0 

44,837 
33.5 

79,074 
59.0 

1,740 
1.3 

1,490 
1.1 

6,783 

5.1 

Group  IV 

506  cities.  25,000  to  49.999;  population  17.444,000: 

161,808 
100.0 

49.668 
30.7 

98,742 
61.0 

2,029 
1.3 

2,064 
1.3 

9,305 

5.8 

Group  V 

1,184  cities,  10,000  to  24,999;  population  18,742,000; 

180,476 
100.0 

58,112 
32.2 

105,519 
58.5 

2,329 
1.3 

1,632 
.9 

12,884 

7.1 

Group  VI 

3,749  cities  under  10,000;  population  14,758,000: 

141,543 
100.0 

40,347 
28.5 

81,502 
57.6 

2,258 
1.6 

1,638 
1.2 

15.798 

11.2 

Suburban  Counties 

967  agencies;  population  34,356,000: 

137,908 
100.0 

41,579 
30.1 

86,833 
63.0 

1.936 

1.4 

1,121 
.8 

6,439 

4.7 

Rural  Counties 

1,887  agencies;  population  19,830,000: 

51.005 
100.0 

12,317 
24.1 

32,014 
62.8 

1,530 
3.0 

1,038 
2.0 

4,106 

Percent 

8.1 

Suburban  Area' 

4,263  agencies;  population  79,754.000: 

512,110 

178.397 

287.550 

6,828 

4.731 

34,604 

1000 

34.8 

56.2 

1.3 

.9 

6.8 

'Includes  all  offenses  excepi  traffic  and  neglecl  cases. 

^Because  of  rounding,  the  percentages  may  not  add  to  total 

^Includes  suburban  city  and  county  law  enforcement  agencies  within  metropolitan 


areas.  Excludes  central  cities.  Suburban  cities  and  counties  are  included  in  other  groups. 


225 


iCam  iEnf0rr^m^nt  (S^ohi^  of  i£tl|trB 

Ab  a  iCam  iEnforrf mpitl  (§f f trrr,  my  funJumeniJ Jut^  h  lo 

serve  manfrtna;  lo  safequara  livei  ana  properlu;  to  protect  the  Innocent  aqainlt 
deception^  tne  weak  against  oppression  or  intimiaation,  ana  tne  peaceful 
aaainst  violence  or  aisoraer;  ana  to  respect  the  l^onstilutional  rights  of  aft 
men  to  fioertu,  eauatitu  and  Justice. 

Jl  Ultll  heep  mu  private  life  unsutliea  as  an  example  to  all;  maintain  coura- 
qeous  catm  in  the  face  of  aanaer,  Scorn,  or  riaicute;  develop  self-restraint;  ana 
be  constantlu  minaful  of  the  welfare  of  others.  ^J4onest  in  thouaht  ana  aeea 
in  Both  mu  personal  and  of ficial  life,  ^  wilt  oe  exemptaru  in  ooe^in^  the  tawS 
of  the  land  and  the  reautationS  of  mu  department.  vUhatever  jf  see  or  hear  of 
a  confidentiat nature  or  that  is  confided  to  me  in  mu  official  capacity  wilt  he 
kept  ever  secret  unless  revelation  is  necessaru  in  the  performance  of  mu  dulif. 

ll  mtll  never  act  officioustu  or  permit  personal  feelings,  prejudices,  animos- 
ities or  friendships  to  influence  mu  decisions.  lA/ith  no  compromise  for  crime 
and  with  relentless  prosecution  of  criminals,  .Jf  will  enforce  the  taw  courteously 
and  appropriately  without  fear  or  favor,  malice  or  ill  will,  never  emptoi^in^ 
ceSSaru  force  or  violence  and  never  acceptina  aratuitieS, 


unnei 


K  rPfOQtttZP  the  badge  of  mu  office  as  a  sumbol  of  public  faith,  and 
.y  accept  it  as  a  public  trust  to  be  held  so  lon^  as  J7  am  true  to  the  ethics  of 
the  police  service.  .^  will  constantlu  strive  to  achieve  these  objectives  and  ideals, 
dedicatina  muself  oefore   \-jod  to  mu    chosen  profession   .  .  .  taw  enforcement. 


226 


SECTION  V 
LAW  ENFORCEMENT  PERSONNEL 


The  Nation's  law  enforcement  community  employed  an 
average  of  2.1  full-time  officers  for  every  1,000  inhabitants 
as  of  October  31,  1987.  Considering  full-time  civilians,  the 
overall  law  enforcement  employee  rate  was  2.8  per  1,000 
inhabitants  according  to  12,149  city,  county,  and  state 
police  agencies  reporting  in  1987.  These  agencies 
collectively  offered  law  enforcement  service  to  a  population 
of  nearly  227  million,  employing  480,383  officers  and 
160,785  civilians. 

Varying  demographic  and  other  jurisdictional 
characteristics  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 
averages;  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  affecting 
service  requirements  in  that  jurisdiction. 

The  law  enforcement  employee  average  for  all  cities 
nationwide  in  1987  was  2.6  per  1,000  inhabitants.  By 
population  grouping,  city  law  enforcement  employee 
averages  ranged  from  2.1  per  1,000  inhabitants  in  those  with 
populations  from  10,000  to  49,999  to  3.5  for  those  with 
populations  of  250,000  or  more.  Rural  and  suburban 
counties  averaged  full-time  law  enforcement  employee  rates 
of  3.5  and  3.0  per  1,000  population,  respectively. 

Regionally,  the  highest  law  enforcement  employee  rate 
was  in  the  Northeast  with  2.9.  Following  were  the  South 
with  2.8,  the  Midwest  with  2.5,  and  the  West  with  2.4. 


Full-time  Law  Enforcement  Employees',  Rate  per  1,000  Inhabitants,  Region  and  Population  Group,  October  31,  1987 

[1987  estimated  population] 


Population  Group 


Region 


Total 

(9.255  cities; 

population 

153.087.000) 


Group  I  (60 

cities.  250.000 

and  over; 

population 

43,916.000) 


Group  II  (123 

cities,   100,000 

to  249.999; 

population 

17,977,000) 


Group  III  (300 

cities,  50,000 

to  99,999; 

population 

20,402,000) 


Group  IV  (650 

cities,  25,000 

to  49,999; 

population 

22,291,000) 


Group  V  (1,604 

cities,   10,000 

to  24,999; 

population 

25,115,000) 


Group  VI 
(6,518  cities 
under  10,000; 
population 
23,387,000) 


TOTAL: 

9,255  cities; 
population   153,087,000: 
Average  number  of  employees 
per   1,000  inhabitants 

Northeastern  States: 

2,352  cities; 

population  39,141,000: 
Average  number  of  employees 

per  1,000  inhabitants 

Midwestern  States: 

2,490  cities; 

population  37,927,000: 
Average  number  of  employees 

per  1,000  inhabitants 

Southern  States: 

3,164  cities; 

population  43,070,000: 
Average  number  of  employees 

per  1,000  inhabitants 

Western  SUtes: 

1,249  cities; 

population  32,950,000: 
Average  number  of  employees 

per  1,000  inhabitants      


2.6 


3.5 


2.4 


2.2 


2.1 


2.1 


2.8 


2.5 


2.8 


2.4 


4,6 


3.9 


3.0 


2.6 


3.2 


2.2 


2.5 


2.0 


2.4 


1.9 


2.6 


2.3 


1.8 


2.4 


2.0 


2.0 


2.0 


2.4 


2.1 


2.1 


2.5 


3.5 


3.7 


Includes  civilians.   Population  figures  were  rounded  to  the  nearest  thousand.  All  rates  were  calculated  before  rounding. 


227 


Sworn  Personnel 

Rates  based  solely  on  sworn  law  enforcement  personnel 
(excluding  civilians)  showed  the  national  average  for  all 
cities  was  2.1  officers  per  1,000  inhabitants.  By  population 
grouping,  the  lowest  average  rate  (1.7)  was  for  cities  with 
populations  of  10,000  to  99,999;  cities  250,000  or  more  in 
population  recorded  the  highest  rate,  2.8.  Suburban  county 
law  enforcement  agencies  averaged  2.0  officers  per  1,000 
population,  while  agencies  in  rural  counties  averaged  2.4. 

Full-time  Law  Enforcement  Officers,  Rate  per  1,000  Inhabitants,  Region 

[1987  eslimaled  population] 


Geographically,  the  highest  rate  of  officers  to  population 
was  recorded  in  the  Northeastern  States  where  there  were 
2.4  officers  per  1,000  inhabitants.  Following  were  the 
Southern  States  with  2.2,  the  Midwestern  States  with  2.0, 
and  the  Western  States  with   1.7. 

Nationally,  males  comprised  92  percent  of  all  sworn 
employees.  Ninety-four  percent  of  the  officers  in  rural 
counties  and  93  percent  of  those  in  cities  were  males,  while 
in  suburban  counties  they  accounted  for  89  percent. 


and  Population  Group,  October  31,  1987 


Population  Group 


Region 


Total 

(9,255  cities; 

population 

153.087,(X)0) 


Group  I  (60 

cities,  250,(XX) 

and  over; 

population 

43.915.000) 


Group  II  (123 

cities,   100.000 

to  249,999; 

population 

17,977,000) 


Group  III  (300 

cities,  50,000 

to  99,999; 

population 

20,402,000) 


Group  IV  (650 

cities,  25,000 

to  49,999; 

population 

22,291,000) 


Group  V  (1,604 

cities,   10,000 

to  24,999; 

population 

25,115,000) 


Group  VI 

(6,518  cities 

under  10,000; 

population 

23,387,000) 


TOTAL: 

9,255  cities; 

population   153.087,000: 
Average  number  of  ofTicers 
per  1,000  inhabitants 


Northeastern  States: 

2.352  cities; 
population  39,141,000: 
Average  number  of  officers 

per  1,000  inhabitants 

Midwestern  States: 
2,490  cities; 
population  37,927,000: 
Average  number  of  officers 

per  1,000  inhabitants 

Southern  States: 
3,164  cities; 
population  43,070,000: 
Average  number  of  officers 

per  1,000  inhabitants 

Western  States: 
1,249  cities; 
population  32,950,000: 
Average  number  of  officers 
per  1,000  inhabitants 


2.1 


2.8 


1.7 


1.7 


1.7 


2.2 


2-4 


2.0 


2.2 


1.7 


3.7 


3.3 


2.4 


2.0 


2.7 


1.7 


1.9 


1.4 


2.0 


1.9 


1.4 


2.0 


1.3 


1.5 


1.7 


1.6 


1.9 


1.5 


2.0 


2.7 


2.6 


Population  figures  were  rounded  to  the  nearest  thousand.  All  rates  were  calculated  before  rounding. 


Civilian  Employees 

Civilians  made  up  25  percent  of  the  total  United  States 
law  enforcement  employee  force  in  1987.  They  represented 
21  percent  of  the  police  employees  in  cities,  32  percent  of 
those  in  rural  counties,  and  33  percent  of  the  suburban  law 
enforcement  strength. 


Law  Enforcement  OfHcers  Killed  and  Assaulted 

Seventy-two  law  enforcement  officers  were  feloniously 
slain  in  the  line  of  duty  during  1987,  6  more  lives  lost  than 
in  1986.  The  increase  in  1987  followed  a  decline  in  1986 
whose  annual  total  was  lower  than  for  any  year  since  1968. 

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. 


228 


Table  65.  —  Full-time  Law  Enforcement  Employees',  Number  and  Rate  per  1,000  Inhabitants,  Geographic  Division  and  Population  Group, 
October  31,  1987 

[1987  estimated  population) 


Geographic  division 


Total 

(9.2S5  cities; 

population 

153,087,000) 


Population  Group 


Group  I 
(60  cities, 

250,000 
and  over; 
population 
43,916.000) 


Group  11 
(123  cities, 
100,000  to 
249,999; 
population 
17,977,000) 


Group  III 
(300  cities, 
50,000  to 
99.999; 
population 
20,402,000) 


Group  IV 
(650  cities, 
25.000  to 
49,999; 
population 
22.291.000) 


Group  V 

(1.604  cities, 

10,000  to 

24,999; 

population 

25,115.000) 


Group  VI 
(6,518  cities 
under 
10.000; 
population 
23,387,000) 


TOTAL:  9,255  cities;  population  153,087,000: 

Number  of  employees 

Average  number  of  employees  per  1,000  inhabitants.. 

New  England:  654  cities;  population  11,306,000: 

Number  of  employees 

Average  number  of  employees  per  1,000  inhabitants.. 
Middle  Atlantic:  1,698  cities;  population  27,835,000: 

Number  of  employees 

Average  number  of  employees  per  1,(X)0  inhabitants.. 
Elasl  North  Central:  1,766  cities;  population  28,248,000: 

Number  of  employees 

Average  number  of  employees  per  1,000  mhabitants 
<Vesl  North  Central:  724  cities;  population  9,678,000: 

Number  of  employees 

Average  number  of  employees  per  I, OCX)  inhabitants 
teuth  Atlantic:  1,488  cities;  population  17,712,000: 

Number  of  employees 

Average  number  of  employees  per  1,(X)0  inhabitants.. 
i:aat  South  Central:  714  cities;  population  7,288,000: 

Number  of  employees 

Average  number  of  employees  per  1,000  inhabitants 
Vest  South  Central:  962  cities;  population  18,070,000: 

Number  of  employees 

Average  number  of  employees  per  l,(X)0  inhabitants.. 
4ounUin:  535  cities;  population  8,926,000: 

Number  of  employees  

Average  number  of  employees  per  1,000  inhabitants.. 
'aciflc:  714  cities;  population  24,024,000: 

Number  of  employees 

Average  number  of  employees  per  1,000  inhabitants. 


404,946 
2,6 


152,579 
3.5 


42,587 
2.4 


43,893 

2.2 


46,820 
2.1 


53,145 
2.1 


65,922 
2.8 


27.582 
2.4 

85.028 
3.1 

72.932 
2.8 

21,119 

2.2 

58,169 
3.3 

18,984 
2.6 

43,566 

2.4 

22.243 
2.5 

55.323 
2.3 


2,567 
4.5 

45,799 
4.6 

28,776 
4.1 

6,005 
3.2 

15,892 
3.9 

3.330 
2.7 

17.903 
2.6 

8,796 
2.7 

23,511 
2.6 


3,862 
3.3 

4,206 
3.1 

5,017 
2.3 

1,363 
1.9 

8,965 

2.7 

3,277 
2.5 

4,747 
2.1 

2,826 
2.3 

8,324 
1.9 


5,794 
2.4 

6,060 
2.3 

8,053 
2.0 

2,061 
1.6 

6,318 
3.1 

738 
2.5 

4,539 

2.2 

2,190 
1.7 

8,140 
1.9 


5.744 
2.2 

8,322 
2.3 

8.798 
1.8 

2,894 
1.6 

6,584 

2.7 

2,680 

2.3 

3.131 
1.9 

2.105 
2.1 

6,562 

2.0 


5,940 
2.1 

10,385 
2.0 

11,142 
1.9 

3,916 
2.0 

7.384 
2.8 

3,361 

2.3 

5,278 
2.0 

2,202 

2.2 

3,537 
2.1 


3,675 
2.2 

10,256 
2.0 

11,146 
2.5 

4,880 
2.4 

13,026 
4.0 

5,598 
3.0 

7,968 
3.2 

4,124 
3.4 

5,249 
4.0 


Suburban  and  County 


uburban^  5,508  agencies;  population  90,139,000: 

Number  of  employees 

Average  number  of  employees  per  1,000  inhabitants. 


County:  2,894  agencies;  population  73,708,000: 

Number  of  employees     

Average  number  of  employees  per  1,000  inhabitants.. 


236,222 
3.2 


'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, 
opulation  figures  were  rounded  to  the  nearest  thousand.  All  rates  were  calculated  before  rounding. 


229 


Table  66.  —  Full-time  Law  Enforcement  Officers,  Number  and  Rate  per  1,000  Inhabitants,  Geographic  Division  and  Population  Group, 
October  31,  1987 

[1987  estimated  population] 


Total 

Population  Group 

Group  1 

Group  11 

Group  111 

Group  IV 

Group  V 

Group  VI 

(9,255  cities; 

(60  cities. 

(123  cities, 

(300  cities. 

(650  cities. 

(1,604  cities. 

(6,518  cities 

Geographic  division 

population 

250.000 

100.000  to 

50,000  to 

25.000  to 

10.000  to 

under 

153,087,000) 

and  over; 

249.999, 

99,999; 

49,999; 

24,999; 

10,000; 

population 

population 

population 

population 

population 

population 

43,916.000) 

17,977,000) 

20,402,000) 

22.291,000) 

25,115,000) 

23,387,000) 

TOTAL:  9,255  cities;  population  153,087,000: 

Number  of  officers 

320,959 

121,802 

32,887 

34,378 

37,331 

42.965 

51,596 

Avprnpp  niimher  of  officers  oer  1  000  inhabitflfits      .  ... 

2.1 

2.8 

1.8 

1.7 

1.7 

1.7 

2.2 

/^Tdag^       IIUIIIK/Vl        **■        VlilWl  J       r^            •,^*»*%'       ■  ■■■■•■fc^"  »*■■■  »,j    ,,...,... 

New  England:  654  cities;  population  11.306,000: 

Number  of  officers 

23,375 

1.972 

3.290 

5.016 

5,041 

5,084 

2,972 

Average  number  of  officers  per  1,000  inhabitants 

2.1 

3.4 

2.8 

2.1 

1.9 

1.8 

1.8 

Middle  Atlantic:  1,698  cities;  population  27,835,000: 

Number  of  officers 

70,948 

37,335 

3,600 

5,178 

7.059 

8.940 

8,836 

Average  number  of  officers  per  1,000  inhabitants 

2.5 

3.7 

2.6 

2.0 

2.0 

1.7 

1.7 

East  North  Central:  1,766  cities;  population  28,248,000: 

Number  of  officers 

60,371 

24,919 

4,053 

6,518 

7.069 

8,956 

8,856 

Average  number  of  officers  per  1,000  inhabitants 

2.1 

3.5 

1.7 

16 

1.5 

1.6 

2.0 

West  North  Central:  724  cities;  population  9.678,000: 

Number  of  officers 

16,537 

4,457 

1,055 

1,672 

2.262 

3,090 

4,001 

Average  number  of  officers  per   1,000  inhabitants 

1.7 

2.4 

1,4 

1,3 

1.3 

1.6 

1.9 

South  Atlantic:  1,488  cities;  population  17,712,000: 

Number  of  officers 

45,660 

12,678 

6,918 

4,747 

5,143 

5,839 

10,335 

1  ^  Ul  1  ll,'\i'l       \Jt      \jk  I  i\^\^a  J                                      -  '     -     -  - - ■ 

Average  number  of  officers  per  1,000  inhabitants 

26 

3.1 

2.1 

2.3 

2.1 

2.2 

3.2 

East  South  Central:  714  cities;  population  7,288,000: 

Number  of  officers 

14,669 

2,528 

2,436 

556 

2,127 

2,677 

4,345 

Average  number  of  officers  per   1,000  inhabitants 

2.0 

2.1 

1.8 

1.9 

1.8 

1.8 

2.4 

West  South  Central:  962  cities;  population  18,070,000: 

Number  of  officers                                                          

33,651 

14.099 

3,804 

3,496 

2,390 

4,185 

5,677 

Average  number  of  officers  per   1,000  inhabitants 

1.9 

2.0 

1.7 

1.7 

1.5 

1.6 

2.3 

Mountain:  535  cities;  population  8,926,000: 

Number  of  officers 

16.087 

6.379 

1,983 

1,594 

1,543 

1,594 

2.994 

Average  number  of  officers  per  1,000  inhabitants 

1.8 

2.0 

1.6 

1,3 

1.5 

1.6 

2.5 

Pacific:  714  cities;  population  24,024,000: 

Number  of  officers 

39.661 

17,435 

5,748 

5,601 

4,697 

2.600 

3.580 

Average  number  of  officers  per  1,000  inhabitants 

1.7 

1.9 

1.3 

1.3 

14 

1.5 

2.7 

Suburban  and  County 


Suburban':  5,508  agencies;  population  90,139,000: 

Number  of  officers 

Average  number  of  officers  per  1.000  inhabitants 


173,696 
1.9 


County:  2,894  agencies;  population  73,708,000: 

Number  of  officers 

Average  number  of  officers  per  1,000  inhabitants 


159,424 
2.2 


'Includes  suburban  city  and  county  law  enforcement  agencies  within  metropolitan  areas.  Excludes  central  cities.  Suburban  cities  and  counties  are  also  included  in  other  groups 
Population  figures  were  rounded  to  the  nearest  thousand.  All  rates  were  calculated  before  rounding. 


230 


Table  67.  —  Full 

[Range  in  rate  per 


time  Law  Enforcement  Employees,  October  31,  1987 

1.000  inhabitants] 


<Rate 

range 

Total' 

(8,862  cities; 

population 

153,087,000) 

Group  I  (60 

cities.  250.000 

and  over. 

population 

43.916.000) 

Group  II  (123 

cities.   100.000 

to  249.999; 

population 

17.977,000) 

Group  III  (300 

cities.  50.000 

to  99.999; 

population 

20.402.000) 

Group  IV  (650 

cities,  25,000 

to  49,999; 

population 

22,291,000) 

Group  V  (1.604 

cities,   10,000 

to  24,999; 

population 

25,115,000) 

Group  VI 
(6.125  cities 
under   10.000; 
population 
23,387.000) 

.1-.5 

Number 

176 

1 

10 

16S 

Percent 

2.0 

.2 

.6 

2.7 

.6-1.0 

Number 

654 

3 

16 

69 

366 

1.1-1.5 

Percent 
Number 

7.4 
1,296 

1.0 

47 

2.5 

110 

4.3 

204 

9.2 

4 

931 

Percent 

14.6 

3.3 

15.7 

16.9 

12.7 

15.2 

1.6-2.0 

Number 

1,995 

9 

42 

100 

220 

502 

1,122 

Percent 

22.5 

150 

34.1 

33.3 

33.8 

31.3 

18.3 

2.1-2.5 

Number 

1.763 

16 

40 

86 

178 

462 

981 

Percent 

19.9 

26.7 

32.5 

28.7 

27.4 

28.8 

16.0 

2.6-3,0 

Number 

1.104 

13 

16 

35 

77 

204 

759 

Percent 

12-5 

21.7 

13.0 

11.7 

11.8 

12.7 

12.4 

3.1-3.5 

Number 

685 

Q 

16 

20 

26 

98 

516 

Percent 

7.7 

15.0 

13.0 

6.7 

4.0 

6.1 

8.4 

3.6--».0 

Number 

389 

5 

2 

3 

15 

36 

328 

Percent 

4.4 

8.3 

1.6 

1.0 

2.3 

2.2 

5.4 

4.1^.5 

Number 

224 

2 

3 

4 

1 

12 

202 

Percent 

2.5 

3.3 

2.4 

1.3 

.2 

.7 

3.3 

4.6-5.0 

Number 

132 

4 

2 

2 

4 

120 

Percent 

1.5 

6,7 

.7 

.3 

.2 

2.0 

5.1  and  over 

Number 

444 

2 

4 

3 

435 

Total 

Percent 

5.0 
8,862 

3.3 
60 

300 

.6 

650 

.2 

1,604 

7.1 

123 

6,125 

Percent' 

100.0 

100.0 

1 00.0 

100.0 

100.0 

100.0 

100.0 

'The  number  of  agencies  used  to  compile  these  figures  differs  from  the  other  Law  Enforcement  Employee  tables  because  small  agencies  with  no  resident  population  are  excluded 
om  this  table 

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


231 


Table  68.  —  Full-time  Law  Enforcement  Officers,  October  31,  1987 

[Range  in  rate  per  1,000  inhabitants) 


Total' 

(8,862  cities; 

population 

153.087,000) 

Group  I  (60 

Group  11  (123 

Group  III  (300 

Group  IV  (650 

Group  V  (1,604 

Group  VI 

<Rate 
range 

cities,  250,000 

cities,   100,000 

cities.  50,000 

cities.  25.000 

cities,   10,000 

(6.125  cities 

and  over; 
population 

to  249,999; 
population 

to  99,999; 
population 

to  49.999; 
population 

to  24,999; 
population 

under  10,000; 
population 

43,916,000) 

17,977.000) 

20,402,000) 

22,291,000) 

25,115,000) 

23,387,000) 

.1-.5 

Number 

201 

1 

15 

185 

Percent 

2.3 

.2 

.9 

3.0 

.6-1.0 

Number 

914 

2 

23 

59 

129 

701 

1  1  ui  1  iiy^i 

Percent 
Number 

10.3 
2,360 

1.6 
45 

7.7 
116 

9.1 
253 

8.0 
524 

11.4 

1.1-1.5 

10 

1,412 

Percent 

26.6 

16.7 

36.6 

38.7 

38.9 

32.7 

23.1 

1.6-2.0 

Number 

2,400 

18 

45 

102 

198 

551 

1,486 

Percent 

27.1 

30.0 

36.7 

34.0 

30.5 

34.4 

24.3 

2.1-2.5 

Number 

1,328 

15 

14 

37 

97 

271 

894 

Percent 

15.0 

25.0 

11.4 

12.3 

14.9 

169 

14.6 

2.6-3.0 

Number 

680 

5 

14 

15 

29 

82 

535 

Percent 

7.7 

8.3 

11.4 

5.0 

4.5 

5.1 

8.7 

3.1-3.5 

Number 

380 

6 

1 

5 

8 

21 

339 

Percent 

4.3 

10.0 

.8 

1.7 

1.2 

1.3 

5.5 

3.6-^.0 

Number 

160 

2 

2 

2 

2 

7 

145 

Percent 

1.8 

3.3 

1.6 

.7 

.3 

.4 

2.4 

4.1-4  5 

Number 
Percent 

115 
1.3 

2 
3.3 

2 
.3 

2 
.1 

109 
1.8 

4.6-5.0 

Number 

71 

1 

1 

69 

Percent 

.8 

1.7 

.1 

1.1 

5.1  and  over 

Number 

253 

1 

1 

1 

250 

Percent 

2,9 

1.7 

.2 

.1 

4.1 

Total 

8,862 

60 

123 

300 

650 

1,604 

6125 

Percent^ 

100.0 

100.0 

100.0 

100.0 

100.0 

100.0 

100.0 

'The  number  of 

agencies  used  to  co 

npile  these  figures  d 

fTers  from  the  other 

Law  Enforcement  Officer  tables  because 

small  agencies  with 

no  resident  populat 

on  are  excluded 

from  this  table 

^Because  of  roun 

iing.  percentages  m 

ay  not  add  to  totals 

'^ 

232 


Table  69.  —  Law  Enforcement  Employees,  Percent  Male  and  Female,  October  31,  1987 

1987  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:  12,149  agencies; 

population  226,796,000: 

TOTAL  CITIES:  9,255  cities; 

population  153,087,000: 


641,168 
404,946 


78.2 
79.9 


21.8 
20.1 


480,383 
320,959 


92.4 
92.9 


7.6 
7.1 


160,785 
83,987 


35.9 
30.2 


64.1 
69.8 


GROUP  I 

)0  cities.  250,000  and  over; 

lopulation  43.916,000;      

cities.   1,000.000  and  over; 

lopulation  20.176.000:    

6  cities.  500,000  to  999,999; 

iopulation   10.549,000;   

6  cities,  250.000  to  499,999; 

opulation   13.090,000; 

GROUP  II 
23  cities,   100,000  to  249,999; 

opulalion   17.977,000;     

GROUP  III 
00  cities,  50,000  to  99,999; 

opulation  20,402,000:  

GROUP  IV 
50  cities.  25.000  to  49,999; 
opulation  22,291.000: 

GROUP  V 
604  cities,  10,000  lo  24.999; 
Dpulation  25.115,000; 

GROUP  VI 
518  cities  under  10,000; 

jpulation  23,387,000;    

SUBURBAN  COUNTIES 

^5  agencies;  population  43,545,000: 

RURAL  COUNTIES 
219  agencies;  population  30,163,000; 

SUBURBAN  AREA' 
508  agencies;  population  90,139,000:.. 


152,579 
82,363 
34,675 
35.541 

42,587 

43.893 

46,820 

53,145 

65.922 
130.904 
105,318 
239.154 


78.3 
79.1 
78.8 
75.9 

77.8 


21.7 
20.9 
21.2 
24.1 

22.2 

20.1 


82.4 

81.7 
74.1 
77.2 
77.7 


17.6 

18.3 
25.9 
22.8 
22.3 


121.802 
67,166 
27.676 
26,960 

32,887 

34.378 

37.331 

42.965 

51,596 
87,494 
71,930 
173,696 


89  6 
89.0 
90.3 
90.5 

92.3 

94.7 


95.9 

95.0 
89.4 
94.0 
92.4 


10.4 
11.0 
9.7 
9.5 

7.2 

5.3 

4.5 

4.1 

5.0 
10.6 
6.0 
7.6 


30,777 
15,197 
6,999 
8,581 

9,700 

9,515 

9,489 

10,180 

14,326 
43,410 
33,388 
65,458 


33.5 
35.3 
33.5 
30.2 

27.0 

26.7 

26.0 

25.6 

33.8 
43.2 
40.8 
38.7 


66.5 
64.7 
66.5 
69.8 

73.0 

73.3 

74.0 

74.4 

66.2 
56.8 
59.2 
61.3 


'Includes  suburban  city  and  county  law  enforcement  agencies  within 
able  70.  —  Civilian  Law  Enforcement  Employees,  Percent 

987  estimated  population] 


metropolitan  areas.  Excludes  central  cities.  Suburban  cities  and  counties  are  also  included  in  other  groups. 
of  Total,  Population  Group,  October  31,  1987 


Population  group 


Percent 

civilian 

employees 


Population  group 


Percent 

civilian 

employees 


DTAL  AGENCIES:  12,149  agencies; 
population  226,796,000: 


GROUP  IV 


3TAL  CITIES:  9,255  cities; 
population  153,087,000: 


25.1 


20.7 


650  cities,  25.000  to  49,999; 
populalion  22,291,000; 


GROUP  I 

I  cities.  250,000  and  over; 

population  43.916.000:     

cities,   1,000,000  and  over; 

population  20,176,000:  

cities,  500,000  lo  999,999; 

population   10,649.000: 

cities,  250,000  lo  499,999; 

population   13.090.000: 

GROUP  II 

3  cities,   100,000  to  249,999; 

population   17,977.000:      

GROUP  III 

0  cities,  50.000  to  99,999; 

population  20,402,000: 


GROUP  V 


20.2 
18.5 
20.2 
24.1 

22.8 

21.7 


1,504  cities,   10,000  to  24,999; 
population  25.115.000:      . 


GROUP  VI 


6,518  cities  under  10,000; 
population  23,387,000: 


SUBURBAN  COUNTIES 


675  agencies; 

population  43,545,000; 


RURAL  COUNTIES 


2,219  agencies; 

population  30,163,000: 


SUBURBAN  AREA' 

5,508  agencies; 

population  90,139,000: 


20.3 


19.2 


21.7 


33.2 


31.7 


27.4 


Includes  suburban  city  and  county  law  enforcement  agencies  within  metropolitan  areas    Excludes  central  cities.  Suburban  cities  and  counties  are  also  included  in  other  groups. 


233 


Table  71.  —  Full-time 

State  Law  Enforcement  Employees,  October  31 

,  1987 

N 

umt)er  of  law  enforcement  employees 

State 

N 

umber  of  law  enforcement  employees 

Total 

Officers 

Civi 

lans 

Total 

Officers 

Civilians 

State 

Male 

Female 

Male 

Female 

Male 

Female 

Male 

Female 

Total   

73.(X)5 

48,342 

1,916 

9,227 

13,520 

Nebraska  State  Patrol 
Nevada  Highway  Patrol 

593 
329 

442 
230 

10 
4 

53 
12 

88 
83 

New  Hampshire  Slate 

Alabama  Department  of 

Police 

326 

233 

12 

32 

49 

Public  Safely 

1.248 

705 

12 

203 

328 

New  Jersey  Division  of 

Alaska  Slate  Police 

549 

312 

14 

130 

93 

Law  and  Public  Safety 

3,952 

2.716 

65 

198 

973 

Anzona  Department  of 

New  Mexico  Stale  Police 

668 

351 

5 

115 

197 

Public  Safety 

1.651 

944 

41 

301 

365 

Arkansas  Stale  Police 
California  Highway 

613 

441 

11 

70 

91 

New  York  State  Police 
North  Carolina  Highway 
Palrol 

4,759 

3,729 

179 

275 

576 

Patrol 

7,558 

5,137 

353 

828 

1,240 

1,523 

1,197 

10 

193 

123 

Colorado  State  Patrol 
Connecticut  State  Police 

741 
1.644 

522 
1.112 

20 

54 

74 
206 

125 

272 

North  Dakota  Highway 

Patrol 
Ohio  State  Highway 

Patrol            

Oklahoma  Department 

Public  Safety 

194 

117 

2 

45 

30 

Delaware  State  Police 
Florida  Highway  Patrol 
Georgia  Department  of 
Public  Safety 

630 
2.025 

1.564 

447 
1,422 

758 

25 
115 

17 

66 
183 

213 

92 
305 

576 

2,103 
1,208 

1,171 
696 

45 

5 

450 
242 

437 
265 

Idaho  Slate  Police 

215 

170 

1 

9 

35 

Oregon  State  Police 
Pennsylvania  Slate  Police 

995 
5,189 

809 
3,854 

28 
116 

25 
593 

133 
626 

Illinois  State  Police 

2.243 

1,602 

100 

228 

313 

Rhode  Island  State 

Indiana  State  Police 
Iowa  Department  of 

1,712 

1,036 

34 

302 

340 

Police 
South  Carolina  Highway 

214 

173 

4 

25 

12 

Public  Safety 
Kansas  Highway  Patrol 

773 
595 

527 
434 

17 

5 

99 

74 

130 

82 

Palrol        

South  Dakota  Highway 

1,068 

877 

16 

49 

126 

Kentucky  State  Police 

1.617 

939 

16 

338 

324 

Patrol         

230 

148 

2 

71 

9 

Louisiana  State  Police 

998 

704 

9 

99 

186 

Tennessee  Department  of 

Maine  State  Police 
Maryland  State  Police 
Massachusetts  State 
Police 

574 
2.212 

1.408 

362 
1,513 

1.148 

11 

97 

71 

108 
216 

120 

93 
386 

69 

Safely 
Texas  Department  of 

Public  Safely 
Utah  Highway  Palrol 

1,325 

4,869 
428 

728 

2,548 
327 

16 

48 
14 

127 

645 

72 

454 

1,628 
15 

Vermont  Department  of 

Michigan  State  Police 
Minnesota  Highway 
Patrol 

3.190 
710 

2.067 
494 

136 
12 

473 
131 

514 

73 

Public  Safely 
Virginia  State  Police 

387 
2,012 

256 
1,456 

8 
46 

51 
152 

72 
358 

Mississippi  Highway 
Safety  Patrol 

842 

497 

7 

92 

246 

Washington  Slate  Patrol 
West  Virginia  State 

1.624 

833 

28 

429 

334 

Missoun  Stale  Highway 

Police 

837 

519 

9 

100 

209 

Patrol             

1,767 

857 

8 

583 

319 

Wisconsin  State  Patrol    -, 

653 

442 

52 

95 

64 

Montana  Highway  Patrol 

245 

192 

5 

20 

28 

Wyoming  Highway 
Palrol                

195 

148 

1 

12 

34 

.1 

NOTE:  The  responsibilities  of  the  vanous  slate  police,  highway  palrol.  and  departments 
Any  companson  of  these  data  from  state  to  state  must   take  these  factors  and 


of  public  safety  agencies  range  from  full  law  enforcement  duties  to  traffic  patrol  only, 
hose  on  page  v  into  consideration. 


234 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 


City 


Total 

police 

employees 


Total 
officei^ 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


ALABAMA 


ALABAMA— Continued 


18 

32 

37 

10 

29 

106 

19 

9 

10 

9 

35 

22 

19 

65 

18 

16 

3 

84 

833 

6 

28 

4 

22 

10 

10 

7 

9 

4 

6 

12 

4 

4 

3 

17 

15 

8 

22 

2 

3 

6 

2 

5 

10 

37 

8 

20 

14 

96 

20 

8 

124 

6 

7 

14 

44 

32 

10 

16 

31 

1 

3 

9 

2 

10 

8 

90 

19 

1 

33 

15 

II 

20 


7 

6 

14 

27 

33 

5 

24 

77 

14 

5 

5 

5 

29 

17 

15 

47 

16 

II 

3 

71 

646 

4 

22 

4 


6 

4 
69 
14 
I 
26 
11 
105 


4 
2 
4 
5 
4 
5 
5 

29 
5 
4 
5 
4 
6 
5 
4 

18 
2 
5 

13 

187 

2 

6 


19 

3 

5 

5 

6 

4 

4 

3 

5 

4 

1 

3 

3 

3 

8 

4 

4 

2 

2 

3 

17 

11 

4 

7 

1 

18 

4 

2 

2 

1 

4 

2 

2 

5 

6 

4 

27 

10 

8 

13 

7 

9 

5 

83 

13 

17 

3 

4 

4 

84 

40 

4 

2 

4 

3 

10 

4 

31 

13 

24 

8 

7 

3 

12 

4 

25 

6 

13 

5 

3 

9 

2 

Geneva 

Georgiana    

Glencoe 

Good  water 

Gordo 

Graysville 

Greensboro 

Greenville 

Grove  Hill 

Guin 

Gulf  Shores 

Guntersville.. 

Gurley 

Haleyville 

Hamilton 

Hanceville 

Hartford 

Hartselle 

Headland 

Heflin 

Helena 

Hokes  Bluff 

Hollywood 

Homewood 

Hoover 

Hueytown 

Huntsville 

Hurtsboro 

Irondale 

Jackson 

Jacksonville 

Jasper 

Jemison 

Killen 

Kimberly 

Lafayette 

Lanett 

Leeds  

Leigliton 

Level  Plains 

Lincoln 

Linden 

Lineville 

Littleville 

Livingston 

Luveme 

Madison 

Maplesville 

Marion 

Midfield 

Midland 

Millbrook 

Mobile 

Monroeville 

Montevallo 

Montgomery 

Moody 

Moulton 

Moundviile   

Mountain  Brook 

Mount  Vernon 

Muscle  Shoals 

New  Brockton 

New  Hope  

Newton 

Northport 

Notasulga 

Oneonta 

Opehka 

Opp    

Orange  Beach  

Owens  Cross  Roads . 

Oxford 

Ozark 

Pelham 


12 

6 

6 

9 

4 

6 

7 

26 

7 

4 

23 

25 

4 

16 

9 

10 

12 

20 

10 

8 

9 

4 

4 

58 

81 

20 

356 

5 

2S 

18 

25 

54 

2 

3 

2 

14 

24 

23 

4 

5 

8 

6 

8 

9 

11 

14 

23 

9 

12 

17 

7 

13 

517 

23 

11 

545 

12 

10 

7 

57 

5 

25 


8 

4 

5 

6 

4 

6 

5 

20 

6 

4 

17 

20 

4 

11 

8 

6 

7 

16 

6 

7 

5 

4 

3 

47 

65 

16 

273 

3 

19 

14 

19 

34 

2 

2 

2 

10 

18 

19 

4 

2 

5 

6 

6 

5 

6 

10 

16 

2 

6 

13 

3 

9 

331 

17 

7 

414 

8 

9 

4 

47 

4 

25 

4 

4 

3 

29 

4 

12 

62 

17 

7 

2 

29 

28 

26 


235 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,   1987 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
ofTicers 


ALABAMA — Continued 


Pell  City 
Phenix  City 
Phil  Campbell 

Piedmont    

Pleasant  Grove 

Prattville 

Priceville 

Prichard 

Rainbow  City  ... 
Rainsville 
Red  Bay 

Reform      

Roanoke 

Robertsdale 

Russellville 

Samson  

Saraland 

Satsuma 

Scottsboro 

Selma       

ShefTield 

Sipsey      

Slocomb 

Snead 

Southside   

Springville 

Stevenson  

Sulligent  

Sumiton    

Summerdale 

Sylacauga  

Talladega 

Tallassee 

Tarrant  City 

Thomaston 

Thorsby 

Town  Creek 

Trinity  

Troy 

Trussville 

Tuscaloosa  ......... 

Tuscumbia 

Tuskegee 

Union  Springs... 

Uniontown 

Valley 

Vestavia  Hills  .... 

Warrior 

Weaver 

Wetumpka 

Wilton 

Winfield 

York 


ALASKA 


Anchorage 

Bethel      

Bristol  Bay 

Cordova 

Craig 

Dillingham 

Fairbanks 

Haines   

Homer 

Juneau  

Kenai  

Ketchikan  

Klawock 

Kodiak 

Kotzebue 

Nome 

North  Pole 

North  Slope  Borough 


3 
10 

2 

37 

53 

19 

24 

1 

2 

7 

3 

47 

15 

201 

25 

45 

16 

9 

23 

28 

10 

6 

16 

2 

5 

8 


406 

17 

6 

9 

7 

12 

47 

9 

17 

55 

21 

26 

2 

32 

18 

14 

10 

58 


17 

44 

4 

12 

9 

37 

3 

50 

12 

7 

7 

4 

15 

5 

15 

5 

24 

7 

25 

58 

25 

2 

4 

"» 

4 

4 

5 

3 

5 

2 

31 

41 

14 

18 

1 

2 

4 

3 

33 

11 

152 

23 

35 

15 

5 

18 
28 
7 
5 
12 
1 
5 
4 


277 
12 
4 
6 
3 
6 
40 
9 
11 
34 
14 
18 
2 

16 
7 
8 
6 
36 


129 
5 
2 
3 
4 
6 
7 

6 
21 

7 


ALASKA— Continued 


Palmer 
Petersburg.. 
Seldovia   .,., 

Seward 

Skagway 

Soldotna 

Wrangell    .. 


ARIZONA 


Apache  Junction 

Avondale 

Benson      

Bisbee       

Buckeye  

Bullhead  City 

Casa  Grande 

Chandler  

Chino  Valley 

Clarkdale 

Coolidge 

Cottonwood 

Douglas   

Eagar    

El  Mirage 

Eloy 

Flagstaff 

Florence 

Fredonia 

Gilbert 
Glendale 

Globe      

Goodyear 

Guadalupe 

Hayden 

Holbrook 

Huachuca  City  .... 

Jerome 

Kearny      

Kingman 

Lake  Havasu 

Mammoth 

Marana   

Mesa 
Miami 

Nogales  

Ore  Valley 

Page       

Paradise  Valley... 

Parker 

Payson  

Peoria 

Phoenix 

Pima 

Pinetop-Lakeside . 

Prescott 

Prescott  Valley 
Safford 

Saint  Johns 

San  Luis 

Scottsdale 

Show  Low 

Sierra  Vista 

Snowflake-Taylor 

Somerton 

South  Tucson 

SpnngerviUe 

Superior 

Surpnse 

Tempe 

Thatcher 

Tolleson 

Tombstone 

Tucson 


39 
29 
15 
23 
15 
70 
57 
135 
11 

6 
24 
23 
46 

8 

14 
28 
95 
1 

4 
39 
260 
20 
14 
10 

5 
20 

9 

3 

9 
47 
51 

5 

9 
545 

9 
41 
21 
22 
31 
16 
21 
66 
2,445 

2 
18 
71 
19 
14 

7 

14 

265 

20 

42 

8 

14 
37 

8 

15 

16 

305 

6 
19 

3 
938 


6 
2 
7 
3 

10 
6 


26 

23 

9 

16 

10 

48 

37 

87 

8 

6 

18 

14 

34 

7 

10 

20 

67 

12 

3 

28 

183 

15 

9 

8 

4 

15 

4 

3 

6 

30 

38 

4 

8 

350 

8 

30 

19 

15 

23 

10 

15 

49 

1.803 

2 

11 

46 

12 

13 

6 

8 

168 

13 

29 

7 

9 

24 

6 

10 

15 

216 

5 

13 

2 

723 


236 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


Total 

police 

employees 


Tolal 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


ARIZONA — Continued 


Wicicenburg 

Willcox 

Williams 

Winslow 

Youngtown  .. 
Yuma 


ARKANSAS 


Alma 

Arkadelphia 

Ashdown  

Bald  Knob 

Barling 

Beebe  

Benton 

Bentonville 

Berryville 

31ytheville 

Sooneville  

Bradford    

irinkley 

Jryant 

3ull  Shoals 

Tabot 

Tamden 

Tarlisle 

!^larksville 

;onv»ay 

horning 

Totter 

>ossett 

)anvilie 

)ardanelle 

)ermott 

)es  Arc       

)e  Vails  Bluff... 

)e  Witt 

)umas 

;arle 

;iaine 

;i  Dorado 

England     

iureka  Springs.. 

ayetteville 

I  lordyce 

orresl  City 

brt  Smith 

ientry  

Iravette 

reen  Forest 

rreenwood 

urdon  

lamburg 

larrison 

[azen 

leber  Springs.. 

lelena 

lope 

lorseshoe  Bend 

lot  Springs 

loxie  

luntsville    

acksonville 

Dhnson       

3nesboro  

Lidsonia 

^ensett 

ake  Village 

incotn 

ittle  Rock 

oiioke 

.Dwell 
IJtIagnolia 


ARKANSAS— Continued 


13 
16 
15 
29 
13 
117 


6 

21 

8 

9 

7 

8 

31 

25 

8 

49 

11 

3 

16 

5 

2 

13 

37 

8 

13 

49 

11 

2 

18 

3 

9 

12 

4 

1 

14 

17 

6 

1 

53 

10 

8 

59 

9 

30 

144 

3 

3 

5 

3 

6 

6 

21 

7 

14 

21 

22 

6 

82 

8 

5 

57 

2 

48 

3 

2 

6 

3 

382 

11 

3 

21 


87 


4 

18 
7 
4 
6 
3 

24 

25 
6 

39 
7 
3 

1! 
4 
2 
8 

28 
4 
7 

41 
7 
1 

13 
2 
5 
7 
3 
1 

10 

10 
5 
1 

44 
5 
7 

51 
5 

23 
104 
3 
3 
4 
3 
3 
5 

17 
4 
8 

15 

16 
5 

65 
4 
4 

43 
2 

41 


6 
3 
323 
6 
3 
17 


Malvern 

Marianna 

Marion 

Marked  Tree 

McCrory 

McGehee 

Mena 

Monticello 

Morrilton 

Mountain  Home  ... 

Nashville 

Newport 

North  Little  Rock 

Osceola 

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 

Yellville 


CALIFORNIA 


Adelanto 

Alameda 

Albany 

Alhambra 

Alturas 

Anaheim 

Anderson 

Angels  Camp 

Antioch 

Arcadia 

Areata 

Arroyo  Grande 

Arvin 

Atascadero  

Atherton 

Atwater 
Auburn 
Azusa 
Bakersfield 
Baldwin  Park 

Banning 

Barstow 

Bear  Valley  Springs 
Beaumont 

Bell         

Bell  Gardens 

Belmont 

Belvedere 


22 
15 

5 

8 

3 
11 
13 
18 
17 
19 

8 
21 
152 
26 
30 
11 

8 

139 

15 

5 

g 
43 
31 
27 

5 
44 
21 

5 
55 

3 
22 
57 
13 
20 

1 

4 
10 
15 

2 
21 
57 
16 

2 


18 
136 

34 

146 

8 

457 

23 

8 

87 

86 

25 

25 

16 

33 

24 

27 

27 

80 

304 

79 

34 

40 

9 

24 

61 

61 

39 

6 


15 

11 

5 

4 

3 

7 

8 

17 

U 

15 

7 

15 

117 

20 

26 

6 

5 

110 

11 

4 

6 

33 

21 

19 

5 

32 

16 

4 

43 

3 

16 
51 
8 
17 
1 
4 
6 
8 
2 

18 

45 

15 

2 


11 
98 
30 
93 

7 

321 

14 

7 
71 
70 
18 
18 
11 
25 
19 
20 
19 
58 
217 
59 
24 
28 

5 
16 
45 
42 
32 

6 


237 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


Total 

police 

employees 


Tolal 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


CALIFORNIA— Conriiiued 

Benicia    

Berkeley 

Beverly  Hills 

Bishop      

BIythe  

Brawley 

Brea         

Brentwood 

Brisbane 

Broadmoor 

Buena  Park .- 

Burbank 

Burlingame 

Calexico  

California  City 

Calistoga 

Campbell 

Capitola 

Carlsbad 

Carmel 

Carpinteria 

Cathedral  City 

Ceres 

Chico 

China  Lake 

Chino      

Chowchilla 

Chula  Vista 

Claremont 

Clayton 

Clearlake 

Cloverdale 

Clovis      

Coachella 

Coalinga 

Colfax  

Colma 

Colton 

Colusa  

Compton 

Concord  

Corcoran 

Coming  

Corona  

Coronado 

Costa  Mesa 

Cotati  

Covina     

Crescent  City 

Culver  City 

Cypress    

Daly  City 

Davis 

Delano 

Del  Rey  Oaks  

Desert  Hot  Springs 

Dinuba 

Dixon i 

Dorris 

Dos  Pales 

Downey      

Dunsmuir    

East  Palo  Alto 

El  Cajon 

El  Centro 

El  Cerrito 

El  Monte 

El  Segundo 

Emeryville 

Escalon   

Escondido 

Etna 

Eureka 

Exeter 

Fairfax    


238 


42 

225 

182 
19 
24 
36 

104 

13 

22 

8 

128 

214 
65 
40 
13 
16 
54 
35 
93 
31 
25 
48 
43 
76 
55 

103 
16 

201 
50 
10 
27 
11 
70 
36 
19 
5 
13 
61 
10 

225 

182 
22 
14 

128 
45 

178 
17 
83 
12 

153 
74 

125 

72 

42 

6 

23 

23 

20 

5 

8 

142 

5 

30 

179 
60 
42 

133 
80 
34 
12 

151 

1 

52 

12 

16 


30 

170 

122 
12 
16 
27 
85 
11 
18 
7 
84 

131 

46 

28 

8 

10 
41 
22 
67 
19 
19 
34 
30 
50 
51 
76 
11 

138 

39 

9 

21 

8 

53 

26 

13 

4 

II 

47 

9 

126 

131 
15 
12 
72 
33 

139 
II 
51 
11 

104 

50 

98 

47 

29 

6 

15 

17 

16 

1 

7 

107 

4 

27 

109 
40 
36 

101 

59 

25 

7 

101 

1 

41 

11 

12 


CALIFORNIA— Continued 

Fairfield 

Farmersville 

Femdale      

Firebaugh 

Folsom       

Fontana      

Fort  Bragg 

Fort  Jones 

Fortuna  

Foster  City 

Fountain  Valley 

Fowler 

Fremont 

Fresno      

Fullerton  

Gait         

Gardena     

Garden  Grove 

Gilroy 

Glendale 

Glendora  

Gonzales  

Grass  Valley 

Greenfield 

Gndley       

Grover  City 

Guadalupe 

Gustine  

Half  Moon  Bay 

Hanford 

Hawthorne 

Hay  ward  

Healdsburg 

Hemet       

Hercules      

Hermosa  Beach 

Hillsborough 

Hollister  

Holtville    

Hughson 

Huntington  Beach 

Huntington  Park  ,. 

Huron 

Imperial 

Indio 

Inglewood 

lone  

Irvine 

Irwindale 

Isleton       

Jackson    

Kensington 

Kerman    

King  City 

Kingsburg    

Laguna  Beach 

La  Habra 

Lakeport    

Lake  Shastina 

La  Mesa     

La  Palma   

La  Verne 

Lemoore 

Lincoln 

Lindsay  

Livermore 

Livingston 

Lodi 

Lompoc    

Long  Beach 

Los  Alamitos 

Los  Altos 

Los  Angeles 

Los  Banos 

Los  Gatos 


117 
10 

3 

II 

30 

109 

23 

2 
21 
44 
77 

6 

250 

585 

206 

20 

104 

215 

66 

259 

66 

7 
24 
10 
15 
21 
13 

7 
15 
50 
138 
229 
22 
55 
19 
46 
26 
25 
14 

8 

348 

92 

8 

9 

76 

286 

5 
163 
21 

3 

10 
11 
12 
13 
15 
70 
78 
13 

3 
68 
28 
49 
23 
14 
20 
90 
16 
95 
49 
1.093 
29 
35 
9,475 
32 
65 


79 

9 

3 

7 

23 

70 

15 

2 

15 

35 

57 

6 

165 

393 

145 

14 

86 

156 

41 

181 

48 

7 


17 

7 

10 

10 

5 

14 

7 

9 

4 

6 

1 

13 

2 

37 

13 

86 

52 

148 

81 

16 

6 

40 

15 

16 

3 

33 

13 

21 

5 

21 

4 

9 

5 

7 

1 

206 

142 

64 

28 

6 

2 

8 

1 

47 

29 

183 

103 

4 

1 

112 

51 

17 

4' 

3 

8 

2 

11 

10 

2 

11 

2 

12 

3 

42 

28 

53 

25 

11 

2 

3 

49 

19 

22 

6 

36 

13 

20 

3 

10 

4 

17 

3 

57 

33 

10 

6 

64 

31 

34 

15 

685 

408 

23 

6 

29 

6 

.072 

2.403 

20 

12 

41 

24 

■I 

Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities 

October  31,  1987 — Continued 

City 

Total 

police 

employees 

Total 
officers 

Tolal 
civilians 

Cily 

Total 

police 

employees 

Total 
officers 

Total 
civilians 

CALIFORNIA— Continued 

44 
17 
71 
60 
2 
30 
49 
28 
31 
9 
14 
55 
85 
33 
29 
82 

240 
68 
64 

101 
63 

110 
11 
41 
24 
91 
13 
94 
98 
17 
9 
79 
7 

194 
66 
25 

904 

210 

180 

189 
10 
33 

221 
57 
39 

125 

175 
35 
36 

319 
34 
13 
34 
71 
26 
30 
22 
68 
62 
23 
59 
76 

216 
53 
28 
26 

119 
88 

151 

106 
27 
97 

242 

39 

6 

32 
14 
58 
40 
2 
26 
39 
21 
23 
4 
10 
39 
55 
24 
22 
62 

170 
51 
46 
74 
50 
69 
10 
27 
17 
75 
8 
65 
73 
11 
7 

58 
6 

140 
50 
17 

607 

140 

137 

134 

9 

23 

148 
44 
28 
82 
92 
24 
26 

190 
28 
11 
21 
54 
19 
21 
15 
57 
47 
19 
40 
56 

145 
32 
20 
19 
78 
65 

100 
71 
20 
58 

165 

24 

6 

12 
3 

13 
20 

4 
10 

7 

8 

5 

4 

16 

30 

9 

7 

20 

70 

17 

18 

27 

13 

41 

1 

14 

7 

16 

5 

29 

25 

6 

2 

21 

1 

54 

16 

8 

297 

70 

43 

55 

1 

10 

73 

13 

II 

43 

83 

11 

10 

129 

6 

2 

13 

17 

7 

9 

7 

II 

15 

4 

19 

20 

71 

21 

8 

7 

41 

23 

51 

35 

7 

39 

77 

15 

CALIFORNIA— Continueil 

Rio  Vista 

11 
15 
17 

380 
26 
53 
67 
10 

806 
15 

181 
23 

355 

58 

48 

60 

2 

2,327 

46 

2.559 

57 

32 

39 

1,224 

3 

124 
75 
27 

146 
47 
99 

561 

201 

179 

104 
79 

282 
36 

176 
39 
22 
52 
40 
18 
24 
15 
18 
39 

123 
10 
16 
14 

124 
68 
41 

108 

3 

46 

390 
27 

164 

14 

5 

16 
18 

308 
50 
48 
3 
63 
94 
42 
31 
80 
93 

7 

10 
13 

259 

17 

40 

42 

7 

563 
12 

138 
17 

232 

47 

36 

41 

2 

1.674 

32 

1,870 

47 

24 

25 

998 

3 

86 

49 

22 

105 
34 
73 

359 

127 

144 
71 
58 

152 
29 

122 
26 
15 
37 
30 
13 
18 
10 
14 
28 
80 
9 
11 
11 
89 
48 
29 
72 
3 
35 

255 
18 

111 
13 
5 

12 
15 

236 
36 
36 
3 
41 
64 
33 
23 
52 
66 

4 

Ripon 

5 

4 

Riverside    

121 

Rocklin       

9 

Rohnerl  Park 

13 

Roseville 

25 

Ross  

3 

243 

3 

Salinas    

43 

6 

San  Bernardino 

123 

Millhrae 

San  Bruno  

11 

Mill  Vallev 

12 

San  Clemente 

19 

Modesto       

Sand  City      

653 

San  Fernando 

14 

689 

San  Gabriel 

10 

8 

Moraga 

Morgan  Hill 

Morro  Bay 

San  Jacinto                      

14 

226 

San  Juan  Bautista       

38 

Mount  Shasta 

San  Luis  Obispo 

26 

5 

41 

Needles 

San  Pablo          

13 

San  Rafael 

26 

Santa  Ana    

202 

74 

Santa  Clara 

35 

Santa  Cruz 

33 

i  OakHale 

21 

Oakland         

130 

Santa  Paula                             

7 

54 

13 

7 

Seal  Beach  

15 

Seaside         

10 

5 

6 

Shafler                               

5 

4 

Signal  Hill                          

11 

43 

Soledad                      

1 

5 

3 

35 

20 

12 

36 

Pittsburg 

Placentia                      ... 

11 

Stockton                 , 

135 

9 

Pleasant  Hill 

53 

Pomona  

Porterville                      ...           

Sutter  Creek               

Taft              

4 

3 

Red  Bluff                                        

72 

14 

12 

Tulelake          

Redwood  City 

Reedley                    

22 

30 

Riallo                  

9 

Richmond 

Ukiah                       

8 

28 

Rio  Dell 

Upland        

27 

239 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


Tola: 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


CALIFORNIA— Continued 

Vacaville 

Vallejo 

Ventura 

Vernon 

Visalia 

Walnut  Creek 

Waterford   

Watsonville 

Weed 

West  Covina 

Westminster 

Westmorland 

Wheatland 

Whittier 

Williams 

Willits ;. 

Willows 

Winters 

Woodlake 

Woodland  

Yreka         

Yuba  City 

COLORADO 

Alamosa 

Antonito 

Arvada , 

Aspen , 

Ault 

Aurora 

Avon 

Basalt      

Bayfield 

Berthoud  

Boulder  

Bow  Mar 

Breckenridge 

Brighton    

Broomfield 

Brush  

Buena  Vista 

Burlington 

Calhan 

Canon  City 

Carbondale 

Castle  Rock 

Cedaredge 

Center     

Central  City 

Cherry  Hills  Village 

Colorado  Springs 

Commerce  City 

Cortez 

Craig  

Crested  Butte 

Cripple  Creek 

Dacono  

De  Beque 

Del  Norte 

Delta 

Denver 

Dillon 

Dinosaur 

Dolores 

Durango 

Eagle 

Eaton  

Edgewater  

Elizabeth 

Empire 

Englewood 

Erie 

Estes  Park 


84 

153 

170 

58 

102 

99 

7 

65 

12 

153 

113 

3 

5 

120 

5 

17 

9 

9 

9 

63 

22 

49 


22 

4 

153 

33 
2 
522 
8 
4 
2 
5 
170 
2 

21 

37 

50 

12 
6 
8 
1 

32 
7 

18 
4 
6 
3 

23 
548 

54 

30 

26 
4 
3 
6 
I 
5 

14 
1,614 
5 
2 
2 

46 
4 
6 

15 
I 

2 

100 

3 

20 


58 
113 

104 
40 
70 
73 

6 
49 

7 
III 
82 

3 

5 
85 

5 
13 


19 

4 

113 

21 


374 

7 

3 

2 

5 

121 

2 

15 

27 

36 

10 

5 

7 

I 

23 

6 

13 

4 

6 

3 

21 

387 

41 

21 

18 

4 

3 

5 

I 

4 

II 

1,322 

4 

2 

2 

28 

4 

5 

12 

I 

2 

70 

3 

13 


148 
I 
I 


49 


2 

161 

13 

9 


I 

3 

292 

I 


18 


COLORADO— Continued 

Evans 

Fairplay 

Federal  Heights 

Firestone 

Flagler  

Florence ... 

Fort  Collins 

Fort  Lupton 

Fort  Morgan 

Fountain 

Fowler 

Frederick 

Frisco 

Fruita 

Glendale    

Glenwood  Springs 

Golden         

Granada 

Grand  Junction 

Greeley   

Green  Mountain  Falls 

Greenwood  Village 

Gunnison     

Haxtun 

Hayden 

Holly  

Holyoke 

Idaho  Springs 

Ignacio 

Johnstown 

Julesburg 

Kersey 

Kremmling 

Lafayette     

La  Junta 

Lakewood 

Lamar 

La  Salle 

Las  Animas 

Leadville 

Limon 

Littleton 

Lochbuie 

Log  Lane  Village 

Longmont 

Louisville 

Loveland..... 

Lyons 

Manassa 

Mancos 

Manitou  Springs 

Meeker 

Milliken 

Mintum 

Monte  Vista 

Montrose 

Morrison 

Mountain  View    

Mount  Crested  Butte 

Nederland 

New  Castle 

Northglenn  

Oak  Creek 

Olathe 

Ordway 

Pagosa  Springs 

Palisade 

Palmer  Lake 

Paonia 

Parachute „,,...' , 

Parker 

Platteville 

Pueblo 

Rangely 

Ridgeway 


14 

I 

25 

2 

1 

8 

125 

I 

25 

18 

2 

4 

8 

6 

33 

20 

30 

1 

93 

131 

I 

47 

21 

2 

2 

I 

3 

7 

4 

4 

2 

2 

4 

27 

17 

290 

25 

4 

7 

7 

4 

75 

2 

I 

lOl 

19 

66 

3 

2 

3 

18 
4 
3 
6 
18 
22 
I 

2 
3 
3 
2 
64 
2 
4 
7 
5 
3 
2 
4 
8 
15 
5 
220 
7 
I 


II 

I 

16 

2 

1 

5 

83 

II 

19 

12 

2 

3 

7 

5 

25 

17 

23 

I 

64 

83 

I 

32 

12 

2 

2 

I 

3 

6 

4 

4 

2 

2 

4 

22 

14 

195 

19 

4 

7 

6 

4 

57 

2 

I 

69 

16 

42 

3 

2 

2 

12 

4 

3 

4 

13 

19 

1 

2 

3 

3 

2 

49 

2 

3 

3 

4 

3 

2 

4 

2 

11 

4 

167 

4 

1 


240 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1967 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


COLORADO— Continued 


Rifle 

Rocky  Ford 

Salida 

Sheridan 

Silt 

Silverthome 

Snowmass  Village.. 

Springfield  

Steamboat  Springs . 

Sterling 

Stratton 

Thornton 

Trinidad 

Vail 

Victor 

Walsenburg 

Westminster 

Wheat  Ridge 

Wiggins 

Windsor 

Woodland  Park 

Yuma 


CONNECTICUT 


Ansonia 

Avon 

^Berlin 

Bethel 

Bloomfleld 

Branford 

Bridgeport 

Bristol     

Brookfield 

Canton 

Cheshire 

Clinton  

Coventry 

Cromwell 

Danbury  

Danen  

Derby 

East  Hampton 

East  Hartford 

East  Haven 

Easton 

East  Windsor 

Enfield       

Fairfield      

Farmington 

Glastonbury 

Granby 

Greenwich 

Groton 

Grot  on  Long  Point . 

Groton  Town      

Guilford    

Hamden 

Hartford 

Jewett  City 

Madison 

Manchester 

Meriden 

Middlebury 

Middletown 

Milford    

Monroe  

Naugatuck 

New  Britain 

New  Canaan 

New  Haven 

Newington 

New  London 

New  Milford 


14 

7 

11 

31 

3 

II 

9 

4 

27 

32 

I 

96 

22 

41 

I 

10 

151 

78 

1 

8 

16 
10 


33 
35 
42 
37 
56 
39 

477 

103 
30 
1 

50 
26 
16 
25 

130 
53 
24 
15 

135 
56 
19 
20 
90 

101 
48 
59 
15 

183 
35 
8 
65 
34 

114 

612 
10 
27 

117 

128 
10 

101 

119 
38 
46 

163 
47 

408 
53 
94 
45 


9 
7 

10 

21 

3 

8 

7 

4 

17 

21 

I 

71 

16 

27 

I 

10 

102 

53 

1 

7 

II 

6 


30 
30 
35 
31 
44 
37 

416 
95 
25 
13 
42 
23 
12 
19 

124 
47 
22 
13 

114 
51 
14 
15 
74 
94 
39 
44 
10 

148 
31 
8 
55 
28 
94 

494 

7 

27 

93 

110 

8 

84 

104 
32 
43 

145 
43 

364 
43 
80 
39 


3 
5 
7 
6 

12 
2 

61 
8 
5 
5 
8 
3 
4 
6 
6 
6 
2 
2 

21 
5 
5 
5 

16 
7 
9 

15 
5 

35 
4 

10 
6 

20 

118 

3 

24 
18 

2 
17 
15 

6 

3 
18 

4 
44 
10 
14 

6 


CONNECTICUT— Continued 

Newtown 

North  Branford 

North  Haven 

Norwalk 

Norwich 

Old  Saybrook 

Orange 

Plainfield   

Plainville  

Plymouth 

Putnam       

Ridgefield   

Rocky  Hill 

Seymour  

Shelton 

Simsbury     

Southington 

South  Windsor 

Stafford  Springs 

Stamford  

Slonington 

Stratford 

Suffield    

Thomaston 

Tornngton  

Trumbull 

Vernon 

Wallingford 

Waterbury 

Waterford 

Watertown 

West  Hartford 

West  Haven 

Weston        

Westport    

Wethersfield 

Willimantic 

Wilton         

Windsor     

Windsor  Locks 

Winsted 

Wolcott      

Woodbndgc 

DELAWARE 

Bethany  Beach     

Blades         

Bridgeville 

Camden-Wyoming 

Clayton  

Dagsboro 

Delaware  City 

Delmar 

Dewey  Beach 

Dover  

Elsmere 

Felton  

Fenwick  Island 

Georgetown 

Greenwood 

Harrington 

Laurel 

Lewes  

Middletown 

Milford 

Millsboro 

Milton 

Newark 

New  Castle 

Newport     

Ocean  View 

Rehoboth  Beach 

Seaford 


39 
17 
56 

194 
78 
24 
36 
17 
32 
17 
19 
41 
36 
22 
47 
40 
60 
39 
6 

294 
37 

117 
18 
13 
70 
73 
60 
76 

323 
51 
36 

153 

126 
14 
72 
54 
39 
41 
50 
25 
26 
27 
24 


29 
16 
46 

152 
68 
21 
32 
16 
26 
14 
15 
36 
29 
21 
42 
32 
55 
31 
6 

266 
28 

100 
14 
10 
65 
61 
47 
63 

276 
43 
33 

131 

no 

13 
67 
41 
34 
37 
40 
19 
21 
21 
20 


6 

1 

3 

1 

1 

1 

3 

5 

4 

59 

II 

1 

3 

5 

2 

4 

7 

6 

5 

19 

7 

3 

42 

10 

6 

1 

13 

17 


241 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


Tolal 

police 

employees 


Total 
ofTicers 


Total 

civilians 


City 


Total 

police 

employees 


Total 
officers 


DELAWARE — Continued 


FLORIDA— Continued 


Selbyville 

Smyrna    

South  Bethany 
Wilmington 


DISTRICT  OF  COLUMBIA 

Washington  


FLORIDA 


Alachua     

Altamonte  Springs 

Altha 

Apalachicola 

Apopka       

Arcadia  

Atlantic  Beach   

Atlantis 
Auburndale 
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 

Crystal  River 

Dade  City 

Dania 

Davenport 

Davie 

Daytona  Beach 

Daytona  Beach  Shores 
Deerfieid  Beach 

De  Funiak  Springs 

De  Land  

Delray  Beach 

Dundee 

Dunedin 


1 

17 

3 

.MO 


4,528 


16 

103 

3 

6 

45 

20 

25 

23 

27 

22 

26 

40 

26 

14 

6 

7 

65 

11 

7 

11 

173 

10 

5 

126 

71 

9 

31 

6 

5 

18 

131 

52 

6 

3 

6 


5 

298 

18 

17 

56 

49 

59 

1 

38 

174 

198 

8 

22 

21 

28 

60 

9 

110 

253 

30 

108 

12 

60 

166 

12 

68 


1 

II 

3 

252 


3,909 


12 

75 

1 

5 

34 

15 

19 

15 

20 

16 

21 

29 

21 

10 

5 

7 

43 

9 

7 

6 

115 

5 

5 

103 

64 

8 

22 

5 

5 

14 

83 

38 

5 

2 

6 

7 

6 

5 

209 

13 

11 

42 

39 

44 

1 

30 

130 

133 

5 

16 

14 

18 

44 

5 

87 

197 

22 

84 

10 

41 

114 

8 

54 


619 


Dunnellon    

Eagle  Lake 

EatonviUe    

Edgewater 

Edgewood  

El  Portal     

Eustis        

Fellesmere    

Fernandina  Beach 

Flagler  Beach 

Flonda  City 

Fort  Lauderdale 

Fort  Meade 

Fort  Myers 

Fort  Pierce  

Fort  Walton  Beach 

Frostproof 

Fruitland  Park 

Gainesville    

Golden  Beach 

Graceville       

Greenacres  City 

Green  Cove  Springs 

Greenville  

Groveland  

Gulf  Breeze 

Gulfport    

Gulf  Stream 

Haines  City 

Hallandale 

Havana 

Hialeah 

Hialeah  Gardens 

Highland  Beach  

High  Springs 

HiUsboro  Beach 

Holly  Hill 

Hollywood 

Holmes  Beach 

Homestead     

Howey-in-the-Hills 

Indialantic  

Indian  Creek 

Indian  Harbour  Beach  . 
Indian  River  Shores  ... 
Indian  Rocks  Beach 

Indian  Shores 

Inverness     

Jacksonville 

Jacksonville  Beach 

Jasper 
Juno  Beach 

Jupiter 

Jupiter  Inlet  Colony 
Jupiter  Island 
Kenneth  City 

Key  West    

Kissimmee 

Lady  Lake 

Lake  Alfred 

Lake  City   

Lake  Clarke  Shores 

Lake  Hamilton    

Lake  Helen 
Lakeland 

Lake  Mary 

Lake  Park 

Lake  Wales 

Lake  Worth 

Lantana 

Largo 

Lauderdale-by-the-Sea ... 

Leesburg  

Lighthouse  Point 

Live  Oak 


10 

6 

8 

30 

8 

5 

34 

7 

27 

13 

20 

675 

12 

167 

109 

59 

13 

7 

291 

12 

10 

59 

17 

1 

12 

16 

30 

12 

35 

121 

10 

417 

26 

10 

10 

15 

28 

432 

9 

76 

4 

16 

13 

22 

19 

11 

17 

13 

1,664 

51 

6 

13 

66 

4 

17 

II 

78 

93 

17 

11 

30 

9 

7 

5 

203 

19 

30 

34 

105 

31 

159 

15 

44 

36 

12 


6 

4 
22 

7 

5 
26 

6 
21 

7 

14 

435 

9 

110 

86 

47 

8 

6 

196 

12 

6 
34 
14 

1 

7 

14 
22 
II 
26 
98 

7 

305 

19 

10 

6 

12 

22 

284 

8 
58 

4 
11 
13 
15 
19 
10 
13 
12 
944 
35 

6 
12 
45 

4 
14 
10 
54 
60 
12 

7 
24 

9 

5 

5 
152 
15 
24 
26 
78 
23 
108 
14 
34 
27 
10 


242 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


Cily 


Total 

police 

employees 


Total 
ofTicers 


Total 
civilians 


Cily 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


FLORIDA— Continued 


Longboat  Key 

Longwood      

Lynn  Haven 

Madeira  Beach 

Madison 

Maitland 

Manalapan 

Mangonia  Park 

Margate 

Marianna 

Mascotte 

Medley 

Melbourne         

Melbourne  Beach 

Mexico  Beach 

Miami  

Miami  Beach 

Miami  Shores 
Miami  Springs 

Milton  

Minneola 

Miramar 

Monticello 

Mount  Dora 

Mulberry.  

Naples 

Neptune  Beach 
New  Port  Richey 
New  Smyrna  Beach 

Niceville 

North  Bay  Village 
North  Lauderdale 
North  Miami 
North  Miami  Beach 
North  Palm  Beach 
North  Port 
Oak  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  Cily 

Panama  City  Beach. 

Parker 

Parkland ^. 

Pembroke  Pines 

Pensacola  

Perry 

Pinellas  Park 
Plantation 
Plant  City 
Pompano  Beach 
Ponce  Inlet 
Port  Orange 
Pori  Richey 
Port  Saint  Joe 
Port  Saint  Lucie 

Punta  Gorda 

Quincy  


FLORIDA— Continued 


23 
35 
14 
15 
9 
38 
11 
16 

105 

20 

6 

35 

151 

9 

4 

1,400 

419 
35 
44 
20 
5 
83 
8 
23 
12 
89 
16 
38 
57 
21 
27 
54 

119 

114 

42 

35 

2 

3 

95 

145 
17 
36 
21 
50 
II 
27 

601 
74 
27 
14 
37 

125 

108 
65 
9 
38 
28 

103 

38 

8 

13 

127 

188 
14 
82 

196 
53 

266 
II 
60 
10 
13 
62 
31 
43 


17 
31 
10 
14 

8 
29 

7 

16 
78 
16 

5 
28 
112 

8 

4 

1,043 

289 

28 

36 

15 

5 
70 

8 
16 

8 
67 
11 
29 
43 
16 
20 
40 
101 
93 
34 
23 

2 

3 
72 
97 
12 
26 
15 
40 

9 

21 

425 

56 

19 

9 
28 
83 
71 
53 

7 
28 
22 
74 
30 

7 

12 

103 

133 

12 

58 

136 

38 

181 

6 
44 

7 

9 
43 
22 
38 


357 
130 

7 


23 

48 

5 

10 

6 

10 

2 

6 

176 

18 

8 

5 

9 

42 

37 

12 

2 

10 

6 

29 

8 

1 

1 

24 

55 

2 

24 

60 

15 

85 

5 

16 
3 
4 
19 
9 
5 


Redington  Beach 
Riviera  Beach 

Rockledge  

Royal  Palm  Beach 

Saint  Augustine 

Saint  Augustine  Beach 

Saint  Cloud 

Saint  Leo  

Saint  Petersburg  

Saint  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 

Tamarac 

Tampa 

Tarpon  Spnngs  

Tavares 

Temple  Terrace 
Tequesta 

Titusville    

Treasure  Island 

Umatilla 

Valparaiso 

Venice 

Vero  Beach 

Virginia  Gardens 

Waldo  

Wauchula  

Webster 

West   Melbourne 

West  Miami        

West  Palm  Beach 

Wewahitchka      

White  Spnngs 
Wildwood 
Williston 
Wilton  Manors 
Windermere 
Winter  Garden 
Winter  Haven 
Winter  Park 
Winter  Springs 
Zephyrhills 
Zolfo  Springs 


GEORGIA 


Abbeville 

Acworth 

Adairsville 

Adel 

Adrian 

Albany 

Alma 

Alpharetta.. 
Americus  . 


Ill 
32 
19 
43 

8 
30 

3 
660 
43 
88 
26 
225 
18 
II 
27 
28 
28 

7 

3 
11 
29 
54 

8 
16 
19 
48 
136 
24 
18 
326 
99 
940 
49 
20 
44 
21 
89 
23 

8 
12 
55 
77 

6 

5 
16 

5 

16 

16 

244 

1 

1 
14 
14 
39 

5 
31 
84 
77 
37 
26 

5 


7 
91 
26 
17 
33 

7 
22 

2 
486 
29 
71 
19 
140 
14 

9 
22 
21 
19 

7 

3 

9 
21 
45 

8 
II 
14 
37 
105 
18 
17 
233 
76 
716 
35 
15 
33 
17 
63 
20 

6 

8 
37 
57 

6 

5 
II 

5 

15 

13 

200 

1 

1 
10 

9 
28 

5 
24 
62 
65 
28 
19 

4 


3 

3 

18 

14 

9 

5 

17 

15 

2 

1 

213 

189 

11 

10 

29 

22 

44 

36 

243 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


GEORGIA— Continued 

Aragon 

Athens 

Atlanta 

Augusta 

Austell      

Avondale  Estates 

Batnbndge 

Baldwm  

BamesviUe 

Baxley 

Berlin 

Blackshear ■ 

Blakely     

Bloomingdale 

Blue  Ridge 

Bowdon    

Bowman 

Brooklet  

Broxton 

Brunswick ..... 

Buchanan 

Buena  Vista 

Butler      

Byron 

Cairo 

Calhoun 

Camilla 

Canon  

Carrollton 

Cartersville 

Cedartown 

Centerville 

Chamblee 

Chatsworth 

Chauncey 

Chickamauga 

Clarkesville 

Clarkston 

Claxton    

Clayton      

Cleveland 

Climax     

Cochran 

Cohutta 

College  Park 

Collins     

Colquitt    

Columbus 

Comer 

Commerce 

Concord  

Conyers    

Coolidge 

Cordele 

Cornelia 

Covington 

Cumming  

Cusseta  

Cuthbert 

Dallas 

Dalton   

Damascus 

Danielsville 

Dawson    

Decatur 

Dillard  

Docrun    

Donalsonville 

Doraville 

Douglas 

Douglasville 

Dublin    

East  Dublin 

Eastman 

East  Point 


9 

115 

1,650 

180 

12 

7 

44 

4 

12 

9 

1 

II 

17 

5 

4 

II 

1 

2 

4 

67 

6 

5 

5 

10 

19 

30 

19 

1 

48 

37 

26 

9 

32 

12 

1 

9 

5 

10 

7 

7 

6 

1 

12 

1 

71 

1 

10 

410 

I 

13 

2 

37 

3 

31 

12 

50 

13 

6 

II 

15 

57 

2 

2 

21 

47 

I 

4 
12 
26 
41 
28 
41 
12 
12 
99 


5 

83 

1,346 

153 

8 

7 

29 

4 

11 

9 

1 

10 

13 

5 

4 

7 

1 

2 

4 

54 

6 

5 

5 

7 

16 

26 

14 

1 

41 

29 

22 

5 

30 

9 

1 

5 

5 

9 

7 

7 

6 

1 

11 

1 

60 

1 

8 

347 

1 

8 

2 

26 

3 

24 

12 

35 

8 

6 

7 

II 

48 

2 

2 

17 

38 

1 

3 

8 

19 

33 

22 

32 

7 

12 

91 


4 

32 

304 

27 

4 


GEORGIA— Continued 

Edison 

Elberton 

Ellaville  

Ellijay  

Emerson 

Fairbum 

Fairmount 

Fayetteville 

Fitzgerald 

Folkston  

Forsyth     

Fort  Gaines 

Fort  Oglethorpe 

Fort  Valley 

Franklin 

Gainesville 

Garden  City 

Gibson  

Glennville 

Gordon 

Grantville 

Gray  

Greensboro 

Griffin    

Hahira    

Hampton 

Hapeville 

Harlem 

Hartwell     

Hawkinsville 

Hazlehurst 

Helen 

Hepzibah 

Hiawassee 

Hinesville 

Hoboken 

Hogansville 

Holly  Springs 

Homerville 

Hoschton 

Ideal 

Irwinton 

Ivey 

Jackson  

Jasper  

Jefferson 

Jeffersonvillc 

Jesup      

Jonesboro 

Kennesaw 

Lafayette  

La  Grange 

Lake  City 

Lakeland 

Lavonia 

Lawrenceville 

Leary   

Leesburg  

Lenox,. 

Lilbum 

Lincolnton 

Lithonia  

Locust  Grove 

Loganville 

Lookout  Mountain 

Louisville 

Ludowici 

Lumpkin    

Luthersville 

Lyerly 

Lyons 

Macon 

Madison 

Manchester 

Mansfield 


7 

67 

7 

7 

37 

9 

15 

9 

12 

10 

2 

2 

53 

2 

11 

2 

8 

3 

1 

2 

1 

17 

6 

13 

4 

29 

9 

28 

22 

85 

12 

5 

13 

30 

1 

3 

1 

14 

3 

11 

7 

II 

II 

10 

8 

9 

9 

1 

15 

308 

1 

16 
1 


3 
20 
4 
7 
4 
10 
3 

14 

20 

5 

18 

3 

14 

25 

5 

74 

16 

1 

9 

4 

4 

4 

7 

56 

4 

7 

31 

5 

11 


10 
2 
2 

42 
1 
9 
2 
5 
3 
1 
2 
1 

13 
6 

13 
4 

21 
9 

21 

17 

70 
9 
5 
8 

25 
1 
3 
1 
9 
3 
8 
5 
7 
7 

10 
4 
9 
3 
1 

11 

245 

7 

13 
1 


244 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


GEORGIA— Continued 


Marietta 

Marshallville 

Maysville       

Mc  Donough 

Mc  Rae 

Meigs  

Midway 

Milan 

Millen 

Monroe 

Montezuma 

Monticello 

Morrow 

Morven 

Moultrie 

Mount  Vernon.... 

Nahunta 

Nashville 

Newington 

Norcross 

Norman  Park 

Oakwood 

Ocilla 

Odum 

Palmetto 

Patterson 

Pelham 

Pembroke 

Perry 

Pine  Lake 

Pineview 

Plains 

Porterdale 

Port  Wenlworth 
Powder  Sprmgs  , 

Ray  City 

Remerton 

Reynolds 

Richland 

Richmond  Hill ... 

Rincon  

Ringgold 

Riverdale 

Roberta 

Rochelle 

Rockmart..: 

Rome 

Rossville 

Roswell 

Royslon 

Saint  Marys 

Sandersville 

Sardis 

Savannah 

Senoia 

Shellman 

Sky  Valley 

Smithville 

Smyrna  

Snellville 

Soperton 

Springfield 

Statham 

Stone  Mountain.. 

Summerville 

Swainsboro 

Sylvania 

Sylvester 

Tallapoosa 

Talleulah  Falls.... 

TenniUe 

Thomaston 

Thomasville 

Thomson 

Thunderbolt 


GEORGIA— Continued 


106 

8 

1 

14 

10 

4 

4 

4 

8 

30 

20 

11 

25 

2 

43 

2 

5 

17 

3 

18 

2 

7 

15 

1 

8 

2 

15 

4 

25 

2 

2 

2 

3 

9 

16 

2 

3 

4 

3 

7 

7 

4 

26 

3 

3 

14 

84 

11 

106 

13 

27 

18 

4 

391 

4 

3 

7 

2 

75 

26 

10 

4 

4 

15 

16 

27 

12 

16 

12 

1 

6 

40 

45 

11 

9 


93 
4 
1 

9 

7 

4 

3 

1 

8 

22 

13 

7 

21 

2 

37 

2 

4 

13 

3 

12 
2 
6 
10 
1 
8 
2 
10 
4 
24 
2 
2 
2 
3 
8 
13 
2 
3 
4 
3 
6 
6 
4 
21 
3 
3 

14 

67 

6 

80 

9 

22 

14 

4 

310 

4 

3 

4 

2 

65 

20 

10 

4 

4 

11 

16 

20 

11 

12 

8 

I 

6 

31 

36 

II 

6 


Tifton 

Tignall 

Toccoa  

Trenton ............. 

Trion 

Tunnel  Hill 

Tyrone  

Union  City 

Vidalia 

Vienna 

Villa  Rica 

Warm  Springs 
Warner  Robins . 

Washington 

Watkinsville 

Waycross 

Waynesboro 

West  Point 

Whigham 

Whilesburg 

Willacoochee 

Winder    

Winterville 

Woodbme 

Woodstock 

Wrens 

Wrightsville 

Zebulon 


Hilo 
Honolulu.. 


HAWAII 


IDAHO 


Aberdeen 

American  Falls 

Arco 

Blackfoot 

Boise 

Bonners  Ferry 

Buhl 

Caldwell 

Cascade 

Chubbuck 

Coeur  d'Alene 

Emmetl 

Filer 

Firth 

Fruitland 

Garden  City 

Gooding 

Grangeville 

Hailey    

Heyburn 

Homedale 

Idaho  Falls 

Jerome  

Kellogg  

Ketchum 

Lava  Hot  Springs.. 

Lewiston 

McCall    

Meridian 
Montpelier 

Moscow 

Mountain  Home.... 

Nampa    

New  Plymouth 

Orofino 

Osbum 

Payette 

Pinehurst 


189 
2,052 


2 

24 

167 

7 

10 

33 

2 

13 

56 

10 

4 

1 

6 

18 

6 

27 

7 

4 

6 

87 

11 

5 

14 

2 

52 

5 

13 

5 

31 

23 

44 

1 

7 

3 

11 

2 


130 
1,683 


4 

3 

7 

1 

? 

18 

6 

144 

23 

6 

1 

7 

3 

25 

8 

2 

11 

2 

42 

14 

If) 

4 
1 

5 

1 

14 

4 

6 

26 

1 

6 

1 

4 

A 

68 

19 

II 

•i 

11 

3 

7 

38 

14 

5 

11 

2 

5 

26 

5 

16 

7 

32 
I 

12 

6 

1 

1 

II 

7 

245 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


IDAHO — Continued 

Pocatello 

Post  Falls 

Preston    

Pinest  River 

Rexburg    

Rigby      

Rupert   

Saint  Anthony 

Saint  Maries 

Salmon     

Sandpoint 

Shelley 

Soda  Springs    

Sun  Valley 

Twin  Falls 

Wallace 

Weiser    ...... 

Wilder 

ILLINOIS 

Abingdon 

Addison   

Albany      

Aledo        

Algonquin 

Alorton 

Alsip      

Altamont 

Alton 

Amboy     

Andalusia 

Anna 

Antioch , 

Areola 

Argenia  , , 

Arlington  Heights 

Arthur 

Astoria ; 

Auburn .' 

Aurora  

Barrington 

Barnngton  Hills 

Bartletl    , 

Bartonville 

Batavia 

Beardstown     

Bedford  Park 

Beecher 

Belleville  

Bellwood 

Belvidere 

Benld      

Bensenville 

Benton    

Berkeley 

Berwyn 

Bethalto 

Bloomingdale 

Bloomington 

Blue  Island 

Bolingbrook -- - 

Bourbonnais  

Bradley  

Braidwood 

Breese       

Bridgeport 

Bridgeview 

Brighton  

Broadview 

Brookfield 

Brooklyn  

Buffalo  Grove 

Bull  Valley 


ILLINOIS— Continued 


10 

75 

1 

8 

20 

9 

44 

3 

75 

1 

2 

9 

19 

4 

2 

128 

6 

1 

8 

200 

41 

22 

29 

II 

23 

II 

30 

4 

68 

48 

24 

7 

43 

12 

15 

83 

12 

44 

84 

40 

78 

19 

20 

2 

8 

3 

44 

4 

37 

32 

7 

54 


6 

8 

42 

3 

3 

8 

4 

2 

5 

5 

55 

20 

8 

15 

5 

5 

4 

36 

8 

3 

64 

11 

2 

9 

12 

7 

4 

, 

96 

32 

5 

1 

4 

4 

174 

26 

28 

13 

16 

6 

20 

9 

7 

4 

18 

5 

7 

4 

25 

5 

4 

58 

10 

41 

7 

22 

2 

4 

3 

32 

11 

8 

4 

12 

3 

63 

20 

8 

4 

29 

15 

72 

12 

29 

11 

54 

24 

14 

5 

16 

4 

2 

4 

4 

3 

38 

6 

3 

1 

29 

8 

27 

5 

3 

4 

43 
1 

11 

Bunker  Hill 

Burbank  

Burnham  

Burr  Ridge 

Byron  

Cahokia 

Cairo 

Calumet  City 

Calumet  Park 

Canton 

Carbon  Cliff 

Carbondale 

Carlinville 

Carlyle 

Carmi     

Carol  Stream 

Carpentersville 

Carrollton 

Carterville  

Carthage  

Cary      

Casey  ,....,,. 

Casey  ville 

Catlin         

Central  City 

Centralia    

Centreville 

Champaign 

Channahon 

Charleston 

Chatham      

Chenoa        

Cherry  Valley 

Chester 

Chicago 

Chicago  Heights 

Chicago  Ridge    

Chillicothe 

Christopher 

Cicero 

Clarendon  Hills 

Clinton       

Coal  City  

Coal  Valley 

Cobden 

Collinsville 

Colona 

Columbia 

Coulterville 

Country  Club  Hills  . 

Countryside 

Crest  Hill 

Crestwood 

Crete      

Creve  Coeur 

Crystal  Lake 

Danville 

Darien         

Decatur 

Deerfield    

De  Kalb    

Dc  Soto       

Des  Plaines 
Dixmoor 

Dixon 

Dolton 

Downers  Grove 
Dupo 

Du  Quoin 

Durand 

Dwight 

Earlville   

East  Alton 

East  Carondelet 
East  Dubuque 


4 

45 

II 

17 

8 

39 

19 

94 

24 

19 

2 

59 

13 

6 

10 

49 

42 

4 

4 

3 

17 

6 

9 

2 

3 

34 

17 

111 

8 

33 

5 

2 

9 

9 

14,042 

100 

26 

12 

10 

114 

17 

1 

5 

6 

2 

37 

2 

8 

2 

24 

22 

23 

6 

15 

7 

50 

76 

29 

168 

47 

54 

2 

111 

10 

24 

40 

80 

5 

9 

2 

10 

5 

19 

1 

6 


2 

37 

7 

15 

4 

27 

14 

65 

17 

17 

2 

48 

9 

6 

9 

34 

37 

4 

4 

3 

14 

6 

5 

2 

3 

27 

12 

89 

4 

25 

5 

2 

9 

6 

12,312 

77 

23 

8 

4 

92 

12 

15 

4 

6 

2 

28 

2 

7 

2 

18 

19 

18 

6 

11 

6 

36 

64 

21 

132 

35 

44 

2 

95 

9 

21 

34 

59 

5 

8 

2 

6 

2 

13 

1  . 

6 


246 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


Total 

police 

employees 


Total 
ofTicers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


ILLINOIS— Continued 

East  Dundee    

East  Hazel  Crest 

East  Moline 

East  Peoria 

East  Saint  Louis 

Edwardsville 

Effingham 

Elburn 

Eldorado 

Elgin 

Elk  Grove  Village 

Elmfiurst 

Elmwood  Park 

Energy 

Equality 

Erie 

Eureka 

Evanston 

Evergreen  Park 

Fairbury 

Fairfield 

Fairmont  City 

Fairmount 

Fairview 

Fairview  Heights 

Farmer  City 

Farmington 

Fisher 

Flora 

Flossmoor 

Ford  Heights 

Forest  Park 

Forest  View 

Fox  Lake 

Fox  River  Grove 

Frankfort 

Franklin  Park 

Freeburg  

Freeport 

Fulton 

Galena 

Galesburg 

Galva 

Genesee 

Geneva 

Genoa 

Georgetown 

Gibson  City 

GifTord 

Gillespie 

Gilman 

Girard 

Glasford 

Glen  Carbon 

Glencoe 

Glendale  Heights 

Glen  Ellyn 

Glenview 

Glen  wood 

Golf 

Grafton 

Granite  City 

Grayslake 

Grayville 

Green  Rock 

Greenup 

Greenville 

Gumee 

Hamilton 

Hampshire 

Hanover..... 

Hanover  Park 

Harrisburg 

Hartford 

Harvard 


ILLINOIS— Continued 


II 
7 
37 
41 
95 
24 
29 
2 

10 

118 

93 

81 

40 

3 

1 

2 

3 

188 

58 

5 

14 

6 

2 

1 

37 

4 

6 

2 

13 

21 

11 

47 

11 

19 

6 

12 

61 

3 

48 

4 

8 

64 

4 

14 

27 

9 

4 


10 

7 

28 

29 

73 

17 

22 

2 

6 

95 

81 

62 

34 

3 

1 

1 

3 

143 

48 

5 

10 

5 

2 

1 

28 

3 

3 

2 

9 

15 

8 

35 

8 

15 

6 

11 

45 

3 

43 

4 

7 

47 

4 

9 

18 

5 

4 

7 

1 

5 

2 

2 

1 

9 

32 

37 

31 

56 

16 

1 

1 

52 

9 

3 

2 

3 

7 

20 

3 

3 

35 

12 

5 

12 


Harvey 

Harwood  Heights .. 

Havana   

Hazel  Crest 

Hebron    

Henning 

Henry      

Herrin 

Herscher 

Hickory  Hills 

Highland 

Highland  Park 

Highwood 

Hillsboro 

Hillside    

Hinkley  

Hinsdale  

Hodgkins 

Hoffman  Estates 

Hometown 

Homewood 

Hoopeston 

Huntley  

Illiopolis 

Indian  Head  Park . 

Island  Lake 

Itasca    

Jacksonville 

Jerome  

Jerseyville 

Johnston  City 

Joliet       

Jonesboro 

Justice    

Kankakee 

Kenilworth 

Kewanee 

Kiideer    

Kincaid 

Kirkland 

Knoxville 

Lacon       

La  Grange 

La  Grange  Park.... 

Lake  Bluff 

Lake  Forest 

Lake-in-the-Hills  .... 

Lake  Villa 

Lakewood  

Lake  Zurich 

Lanark  

Lansing  

La  Salle 

Lebanon 

Lemont 

Leroy  

Lewistown 

Libertyville 

Lincoln  

Lincolnshire 

Lincolnwood 

Lindenhurst 

Lisle 

Litchfield 

Lockport 

Lombard 

Loves  Park  

Lynwood 

Lyons      

Mackinaw 

Macomb 

Madison 

Mahomet      .. 
Manhattan 
Manito 


95 

21 

7 

26 

2 

1 

3 

15 

2 

28 

17 

72 

12 

7 

32 

2 

33 

13 

89 

5 

45 

IS 

6 

3 

12 

12 

34 

39 

4 

16 

5 

196 

3 

23 

68 

13 

19 

2 

1 

1 

4 

3 

32 

26 

12 

51 

12 

7 

2 

23 

1 

55 

18 

9 

18 

2 

3 

45 

23 

18 

33 

10 

36 

15 

25 

71 

27 

II 

25 

1 

29 

14 

3 

3 

2 


21 

5 

7 

1 

3 

12 

3 

7 

23 

5 

12 

5 

58 

14 

8 

4 

6 

1 

26 

6 

2 

23 

10 

12 

1 

67 

22 

1 

4 

34 

11 

9 

6 

6 

1 

2 

9 

3 

7 

5 

24 

10 

32 

7 

4 

10 

6 

5 

52 

44 

3 

19 

4 

54 

14 

11 

2 

15 

4 

1 

1 

1 

4 

3 

28 

4 

21 

5 

11 

1 

38 

13 

11 

1 

6 

1 

1 

16 

7 

44 

11 

15 

3 

6 

3 

13 

5 

7 

3 

35 

10 

22 

1 

14 

4 

32 

1 

10 

27 

9 

13 

2 

17 

8 

56 

15 

21 

6 

10 

1 

21 

4 

23 

6 

10 

4 

3 

3 

7 

247 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,   1987 — Continued 


City 


Tolai 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


ILLINOIS— Continued 


ILLINOIS— Continued 


Manteno 

Marengo 

Manon 

Manssa 

Markham 

Maroa 

Marquette  Heights.. 

Marseilles 

Marshall 

Martinsville 

Maryville 

Mascoutah 

Mason  City 

Matteson 

Mattoon 

Maywood 

McCook  

McHenry  

McLeansboro 

Melrose  Park 

Mendota  

Meredosia 

Metamora 

Metropolis  .............. 

Midlothian 
Milan 

Milledgeville 

Millsladt  

Minier    

Mmonk    

Minooka 

Mokena 

MoHne 

Momence 

Monee 

Monmouth 

Montgomery 

Monticello 

Morris     

Morrison 

Morton 

Morton  Grove 

Mount  Carmel 

Mount  Carroll 

Mount  Morris 

Mount  Olive 

Mount  Prospect 

Mount  Pulaski 

Mount  Sterling 

Mount  Vernon 

Mount  Zion 

Mundelein 

Murphysboro 

Naperville 

Nashville 

National  City 

Nauvoo  

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... 


7 

13 

20 

2 

36 

3 

3 

7 

11 

2 

5 

6 

3 

37 

45 

62 

18 

36 

5 

67 

14 

1 

3 

13 

26 

14 

1 

4 
1 
1 

4 

12 

82 

6 

6 

23 

16 

8 

20 

6 

16 

59 

18 

2 

14 

4 

81 

3 

8 

33 

8 

38 

18 

134 

4 

7 

1 

2 

3 

4 

11 

9 

60 

8 

51 

36 

13 

68 

59 

27 

31 

1 

39 

47 

19 


Oak  Forest 
Oak  Lawn 
Oak  Park 
Oakwood 
Oakwood  Hills 
OTallon 
Ogden 
Oglesby 

Okawville 

OIney  

Olympia  Fields 

Oregon 

Orion 

Orland  Hills 

Orland  Park 

Ottawa 

Oswego 

Palatine 

Palmyra 

Palos  Heights 

Palos  Hills 

Palos  Park 

Pana 

Paris 

Park  City 

Park  Forest 

Park  Ridge 

Paxton  

Pecatonica 

Pekin    

Peona  

Peoria  Heights 

Peotone 

Peru 

Petersburg 

Phoenix 

Pinckneyville 

Pittsfield 

Plainfield 

Piano 

Polo 

Pontiac 

Pontoon  Beach 

Port  Byron 

Posen  

Princeton 

Prophetstown 

Quincy 

Rantoul 

Red  Bud 

Richmond 

Richton  Park 

Ridgway 

Riverdale 

River  Forest ......... 

River  Grove 

Riverside 

Robbins 

Robinson 

Rochelle 

Rochester 

Rockdale 

Rock  Falls 

Rockford  

Rock  Island 

Rockton  

Rolling  Meadows.. 

Romeoville 

Roodhouse 

Roscoe 

Roselle 

Rosemont 

Rosiclare 

Rossville 

Round  Lake  


39 

123 

160 

2 

1 

26 

1 

7 

2 

19 

14 

5 

2 

6 

74 

31 

11 

82 

1 

25 

32 

9 

13 

19 

10 

40 

64 

6 

2 

51 

275 

14 

11 

24 

3 

10 

5 

6 

15 

10 

4 

21 

14 

3 

9 

11 

3 

83 

27 

4 

4 

20 

3 

26 

38 

23 

22 

11 

11 

24 

4 

4 

22 

322 

108 

4 

68 

37 

4 

6 

39 

79 

2 

1 

9 


31 

99 

123 

2 

1 

19 

I 

7 

2 

13 

13 

5 

2 

5 

51 

26 

10 

56 

1 

22 

25 

7 

8 

14 
6 
33 
48 
6 
2 
46 
194 
10 
6 
19 
3 
4 
4 
6 
10 
7 
4 
16 
9 
3 
8 

10 

3 

68 

21 

4 

4 

16 

3 

22 

28 

17 

19 

9 

10 

19 

4 

4 

16 

236 

79 

4 

48 

28 

4 

5 

29 

65 

2 

1 

5 


248 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,   1987 — Continued 


City 


Tola! 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


ILLINOIS — Continued 


ILLINOIS— Continued 


Round  Lake  Beach  

Round  Lake  Heights 

Round  Lake  Park 
Roxana 

Royalton 

Rushville 

Saint  Charles 
Salem 

Sandwich 

Saugel    

Sauk  Village 

Savanna 

Schaumburg 

Schiller  Park 

Seneca 

Sesser  

Shawneetown 

Shelbyville 

Shorewood 

Silvis 

Skokie 

Sleepy  Hollow 

Smilhton 

South  Barrington 

South  Beloit   

South  Chicago  Heights  . 

South  Elgin   

South  Holland  

South  Jacksonville 

South  Roxana 

Sparta 

Springfield 

Spring  Valley 

Staunton 

Steger 

Sterling 

Stickney 

Stockton 

Stone  Park 

Streamwood 

Streator 

Sugar  Grove 

Sullivan 

Summit 

Swansea 

Sycamore 

Taylorville 

Thomasboro 

Thornton 

Tilton 

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 

Walseka 

Wauconda        

Waukegan 


144 

35 

3 

4 

4 

8 

9 

16 

136 

4 

2 

5 

II 

15 

15 

38 

5 

3 

12 

258 

11 

8 

12 

37 

16 

3 

17 

51 

25 

2 

8 

24 

12 

15 

20 

2 

8 

2 

44 

2 

3 

3 

12 

7 

18 

51 

17 

11 

30 

2 

5 

46 

7 

2 

3 

I 

13 
15 
14 
7 
15 
19 
156 


109 
28 
3 
4 
4 
7 
8 

10 

107 

4 

2 

5 

7 

10 

11 

31 

4 

3 

9 

189 


25 
13 
3 
13 
35 
20 
2 
7 
18 
9 
14 
15 
2 
7 
2 

37 

2 

2 

3 

8 

6 

14 

42 

11 

8 

20 

2 

5 

34 

4 

2 

3 

I 

11 
12 
10 
7 

10 

13 

112 


Wayne 

Westchester 

West  Chicago 

West  City 

West  Dundee 

Western  Springs 

West  Frankfort 

Westmont 

Westville 

Whealon 

Wheeling 

White  Hall 

Willowbrook 

Willow  Springs 

Wilmeltc 

Wilmington 

Winchester 

Winfield 

Winnebago  

Winnetka 

Winthrop  Harbor 

Wood  Dale  

Woodhull 

Woodridge 

Wood  River 

Woodstock 

Worth 

Yorkville  

Zeigler   

Zion 


Alexandria 

Anderson 

Angola 

Auburn 

Aurora 

Batesville 

Bedford 

Berne  

Bloomington 

Boonville 

Brazil 

Bremen 

Brownsburg 

Burns  Harbor... 
Cambridge  City . 

Carmel 

Cedar  Lake 

Charlestown 

Chesterfield 

Clarksville 

Columbus 

Connersville 

Crawfordsville.... 

Crown  Point 

Decatur 

Dunkirk 

Dyer 

East  Chicago 

Edinburgh 

Elkhart 

Elwood 

Evansville 

Fairmount 

Fort  Wayne 

Fowler 

Frankfort 

Garrett     

Gas  City 

Georgetown 

Goshen 
Greendale 


INDIANA 


14 
161 
13 
18 
10 
10 
35 

4 
75 
11 
13 
13 
17 

8 

4 
51 
17 
11 

5 
31 
69 
38 
34 
29 
19 

7 

20 

107 

14 

121 

20 

268 

8 
348 

3 
35 
13 
13 

3 
39 
11 


3 
34 
20 

5 
II 
19 
12 
35 

3 
48 
40 

5 
18 

8 
40 


10 

1 

24 

9 

22 

1 

35 

18 

24 

21 

9 

3 

36 


10 
130 

9 
14 

6 

6 
30 

4 
55 
11 


13 

5 

4 

37 

12 

7 

4 

25 

63 

32 

27 

22 

15 

4 

15 

93 

9 

97 

16 

237 

4 

314 

3 

27 

8 

9 

3 

35 

7 


249 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


INDIANA— Continued 


Greenfield 

Greenwood 

Grifnih 

Hammond 

Hanford  City 

Highland       

Hobart     

Huntington  

Indianapolis 

Jasonville 

Jasper      

JefFersonville     

Kendallville 

Kokomo 

Kouts 

Lafayette 

La  Porte 

Lawrence 

Lebanon 

Ligonier 

Linton 

Logansport 

Long  Beach  

Lowell 

Marion  

Martinsville 

Merrillville 

Michigan  City 

Mishawaka 

Monticello 

Mooresville 

Muncie  

Munster 

Nappanee 

New  Castle 

New  Whiteland 

Noblesville 

North  Manchester.. 

North  Vernon 

Petersburg 

Plainfield 

Portage 

Portland 

Princes  Lakes 

Rensselaer 

Richmond 

Schererville 

Scottsburg 

Sellersburg 

Seymour 

South  Bend 

Speedway 

Tell  City 

Terre  Haute 

Tipton  

Union  City 

Valparaiso 

Wabash 

Warsaw 

West  Lafayette 

West  Terre  Haute 

Westville 

Whiting 

Winchester 

Winona  Lake 


IOWA 


Adel 

Albia 

Algona  

Altoona  ... 

Ames 

Anamosa. 


Total 

police 

employees 


25 
46 
34 
224 
15 
42 
38 
35 
1,327 

4 

20 

49 

1 

126 

3 
104 
39 
40 
21 
II 
12 
39 

5 

16 
65 
20 
47 
88 
83 
13 
16 
135 
34 
13 
40 

9 
31 
13 
15 

7 
25 
47 
15 

3 
II 
97 
27 
13 
13 
28 
289 
32 
14 
128 
13 
13 
43 
25 
33 
36 
12 

4 
24 
13 

4 


Total 
officers 


20 
34 
25 
186 
II 
35 
29 
29 
976 

4 

14 

41 

13 

100 

3 
81 
36 
34 
17 
11 

8 
32 

5 
II 
61 
15 
38 
80 
73 

8 

12 
118 
26 

9 
37 

5 
24 
10 
II 

4 
20 
37 
10 

3 

7 
76 
19 

9 

10 

22 

229 

25 

9 
113 

9 

7 
34 
24 
27 
31 

6 

4 
19 

9 

4 


Total 
civilians 


5 

12 
9 
38 
4 
7 
9 
6 
351 


City 


IOWA— Continued 


Ankeny 

Atlantic 

Audubon     

Belle  Plaine 

Belmond   

Bettendorf 

Bloomfield 

Boone        

Burlington  

Camanche 

Carlisle       

Carroll   

Carter  Lake 

Cedar  Falls 

Cedar  Rapids 

Centerville 

Chariton    

Charles  City 

Cherokee 

Clarinda 

Clarion  

Clear  Lake 

Clinton 

Clive 

Coralville 

Council  Bluffs.... 

Cresco       

Creslon     

Davenport 

Decorah  

Denison 

Des  Moines 

De  Witt 

Dubuque  

Dyersville 

Eagle  Grove 

Eldora 

Eldridge 

Emmclsburg 

Estherville 

Evansdale 

Fairfield 

Forest  City 

Fort  Dodge 

Fort  Madison  .... 

Garner 

Glenwood 

Grinnell 

Grundy  Center.. 

Hampton 

Harlan 

Hawarden 

Hiawatha 

Humboldt 

Independence 

Indianola  

Iowa  City 

Iowa  Falls 

Jefferson 

Johnston 

Keokuk 

Knoxville 

Le  Claire 

Le  Mars 

Manchester 

Maquoketa 

Marion  

Marshalltown 

Mason  City 

Missouri  Valley  . 

Monticello   

Mount  Pleasant  . 
Mount  Vernon... 

Muscatine     

Nevada    


Total 

police 

employees 


25 
14 

4 

4 

4 
39 

8 
22 
43 

6 

5 
20 

7 

53 

198 

16 

9 
16 
11 
14 

6 
1 

45 

13 

22 

112 

7 

13 

174 

17 

13 

435 

6 
79 


Total 
officers 


19 

12 
4 
4 
4 

29 
6 

14 

32 
6 
5 

13 
6 

45 
162 

11 
8 

13 

10 
9 
6 

13 

41 
9 

20 

92 

7 

9 

139 

13 

9 

333 

6 

73 
5 
7 
5 
5 
7 

II 
7 

12 
7 

39 

25 
5 
7 

12 
4 


4 
5 

6 
11 
12 

53 

10 

8 

6 

27 

11 

5 

12 

8 

9 

29 

39 

43 

4 

5 

12 

3 

32 

7 


250 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


IOWA— Continued 


KANSAS— Continued 


New  Hampton 

Newton 

Norwalk 

Oelwein  

Onawa   

Orange  City 

Osage    

Osceola  

Oskaloosa  

Ottumwa  

Pella 

Perry  

Pleasant  Hill 

Red  Oak 

Rock  Rapids 

Rock  Valley 

Sac  City 

Sergeant  Bluff 

Sheldon 

Shenandoah 

Sioux  Center 

Sioux  City 

Spencer  

Spirit  Lake 

Storm  Lake 

Story  City 

Tama 

Tipton 

Urbandale 

Vinton    

Washington 

Waterloo , 

Waukee 

Waukon 

Waverly 

Webster  City   

West  Burlington  ... 
West  Des  Moines. 

West  Union       

Windsor  Heights.... 
Winterset  


KANSAS 


Abilene 

Andale 

Andover 

Atchison 

Augusta   

Baxter  Springs.... 

Belle  Plaine 

Belleville 

Beloil  

Bonner  Springs... 

Burlington 

Caldwell 

Caney     

Canton  

Carbondale 

Cawker  City 

Chanute 

Cheney 

Clearwater 

CotTeyville 

Colby  

Columbus 

Concordia 

Conway  Springs,. 
Council  Grove  ... 

Derby  

Dodge  City 

Downs 

Edwardsville 

El  Dorado 


6 

29 

3 

13 

5 

4 

9 

7 

20 

37 

13 

14 

6 

14 

3 

3 

4 

4 

10 

11 

5 

151 

25 

7 

14 
4 
4 
2 
35 
7 
8 
144 
4 
6 
14 
17 
6 
39 
5 
II 


6 

24 
3 

11 
5 
4 
6 
6 

16 

31 
9 

10 
6 

10 
3 
3 
4 
4 
6 
8 
5 
108 

1 
6 

13 
4 
4 
2 

28 
7 
8 
119 
4 
6 

13 

13 
6 

32 
5 

10 
6 


25 


Elkhart 

Ellinwood 

Ellis 

Ellsworth 

Elwood 

Emporia    

Erie         

Eskridge  

Eudora    

Eureka 

Fairway     

Frankfort 

Fredonia   

Frontenac 

Garden  City 

Gardner  

Gamett 

Goodland 

Halstead  

Haysville 

Herington 

Hiawatha 

Highland 

Hoisington 

Holcomb 

Holton 

Holyrood 

Hope 

Horton 

Hugoton    

Humboldt   

Hutchmson 

Independence 

lola 

Junction  City 

Kansas  City 

Kingman  

Kinsley 

Kiowa 

Lacrosse  

Lake  Quivera 

Leavenworth 

Leawood 

Lebo    

Lenexa  

Liberal  

Lindsborg 
Logan 

Lyons  

Marquette  

Marysville    

McPherson 

Meade       

Medicine  Lodge.. 

Mernam      

Minneapolis 

Mission      

Mulvane    

Neodesha 

Ness  City 

Newton 

Oakley 

Oberlin 

Olathe 

Osage  City 

Oswego 

Ottawa      

Overbrook  

Overiand  Park 

Oxford 

Paola 

Phillipsburg 

Pittsburg    

Pomona 
Praine  Village 


62 

6 

12 

15 

4 

22 

10 

II 

4 

9 

2 

9 

1 

2 

5 

6 

5 

81 

26 

20 

56 

429 

10 

4 

2 

3 

2 

55 

40 

1 

73 

36 

3 

2 

7 

1 

6 

24 

3 

4 

27 

5 

16 

II 

7 

3 

20 

9 

3 

81 

5 

5 

39 

1 

126 

1 

14 

5 

41 

1 

44 


4 

3 

5 

5 

5 

2 

38 

18 

3 

1 

1 

4 

7 

1 

7 

1 

4 

4 

40 

22 

5 

1 

8 

4 

12 

3 

4 

13 

9 

6 

4 

6 

5 

4 

5 

4 

•> 

9 

1 

7 

5 

5 

1 

5 

51 

30 

18 

8 

15 

5 

44 

12 

304 

125 

6 

4 

4 

-> 

3 

2 

40 

15 

28 

12 

44 

29 

24 

12 

3 

■> 

7 

1 

5 

1 

■'4 

3 

4 

24 

3 

5 

15 

1 

7 

4 

6 

1 

3 

16 

4 

9 

3 

72 

9 

5 

5 

31 

8 

100 

I 

26 

9 

5 

5 

28 
1 

13 

35 

9 

251 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,   1987 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


KANSAS— Continued 

Pratt 

Roeland  Park 

Rose  Hill 

Russell  

Sabetha 

Saint  Francis 

Satanta 

Scott  City 

Seneca 

Shawnee 

Silver  Lake 

South  Hutchinson 

Spring  Hill 

Stafford  

Sterling 

Stockton 

Sublette 

Tonganoxie 

Topeka 

Towanda 

Ulysses 

Valley  Center 

Wa  Keeney      

Wamego  

Weir  

Wellington  

Wellsville  

Winfield  

Yates  Center         

KENTUCKY 

Adairville  

Albany  

Alexandria 

Anchorage 

Ashland 

Auburn  

Audubon  Park  

Augusta 

Barbourville 

Bardstown 

Beattyville 

Beaver  Dam 

Bellevue 

Benton  

Berea 

Bloomfield 

Bowling  Green 

Brandenburg  

Brodhead  

Brooksville 

Burgin  

Burkesville 

Burnside 

Butler 

Cadiz     

Calhoun 

Calvert  City 

Campbellsburg 

Campbellsville 

Carlisle 

Carrollton 

Catlettsburg 

Cave  City 

Central  City 

Clarkson  

Clay  City 

Clinton 

Cloverport 

Cold  Spring  

Columbia 

Corbin 

Covington 


4 
13 
5 

2 
I 

8 

4 

61 
1 
6 
4 
4 
6 
4 
1 
4 
325 
2 
6 

10 
5 

10 
1 

16 
3 

25 
3 


II 
7 
8 
6 
5 
7 
1 
2 
2 
2 
4 
6 
21 
100 


? 

1 

4 

4 

4 

50 
1 

11 

6 

4 

4 

4 

2 

4 

1 

4 

237 

88 

-> 

6 

6 

4 

5 

5 

5 

13 

3 

3 

19 

6 

3 

2 

8 

4 

9 

3 

51 

1 

2 

2 

1 

9 

4 

12 

4 

4 

1 

4 

9 

1 

6 

2 

14 

5 

2 

2 

72 

19 

3 
1 

1 

7 

4 

3 

? 

3 

1 

1 

1 
3 

1 

10 

1 

5 

2 

8 

6 

5 

7 

2 

2 

2 

4 

6 

KENTUCKY— Continued 

Cumberland 

Cynthiana 

Danville    

Dawson  Springs 

Dayton 

Dixie 

Dry  Ridge 

Earlington 

Edgewood  

Edmonton 

Elizabethtown 

Elkton 

Elsmere  

Eminence 

Erlanger 

Evarts 

Falmouth 

Flat  woods 

Fleming-Neon 

Flemingsburg  

Florence  

Fort  Mitchell 

Fort  Thomas 

Fort  Wright 

Frankfort 

Franklin  

Fulton  

Gamaliel  

Georgetown 

Glasgow  

Grayson    

Greensburg 

Greenup 

Greenville 

Guthrie 

Hardinsburg 

Harlan   

Harrodsburg 

Hartford '. 

HawesviUe 

Hazard    

Henderson 

Hickman 

Highland  Heights 

Hillview 

Hindman ; 

Hodgenville 

Hopkinsville 

Horse  Cave 

Independence 

Irvine  

Irvington 

Jackson  

Jamestown 

Jeffersontown 

Jenkins  

Junction  City  

La  Center 

La  Grange 

Lakeside  Park 

Lancaster 

Lawrenceburg 

Lebanon  

Lebanon  Junction 

Leitchfield 

Lewisburg 

Lewisport  

Lexington 

Liberty 

London  

Louisa 

Louisville  

Loyall  

Ludlow 

Madison  vllle 


18 

31 

8 

7 

7 

2 

2 

10 

4 

30 

5 

8 

5 

24 

3 

6 

11 

3 

6 

39 

11 

23 

9 

56 

15 

13 

2 

24 

28 

3 

6 

2 

7 

4 

3 

13 

I 

4 

1 

25 

51 

10 

4 

1 

1 

7 

42 

4 

8 

11 

2 

9 

4 

41 

6 

4 

1 

7 

5 

13 
15 
17 
5 

14 

1 

1 

468 

5 

14 

8 

839 

1 

U 

40 


252 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,   1987 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


KENTUCKY— Continued 


Manchester    

Marion 

Martin 

Mayfield 

Maysville 

Middlesboro  

Millersburg     

Monticello       

Morehead 

Morganfield 

Morgantown 

Mount  Sterling 

Mount  Vernon 

Mount  Washington 

Muldraugh 

Munfordville 

Murray 

New  Castle 

New  Haven 

Newport 

Nicholasville 

North  Middletown... 

Nortonville 

Oak  Grove 

Olive  Hill 

Owensbcro 

Owenton 

Owingsville 

Paducah 

Paintsville 

Paris 

Park  City 

Park  Hills 

Perryville 

Pewee  Valley 

Pikeville 

Pioneer  Village 

Pineville 

Prestonsburg 

Princeton 

Prospect 

Providence  

Raceland 

Radcliff 

Ravenna 

Richmond 

Russell 

Russell  Springs 

Russellville      

Saint  Matthews 

Saint  Regis 

Salyersville 

Scottsville 

Sebree  

Shelbyville 

Shepherdsville 

Shively 

Somerset 

Southgate 

Springfield 

Stanford  

Stanton 

Sturgis 

Taylor  Mill 

Taylorsvillc 

Tompkinsville 

Uniontown 

Vanceburg 

Versailles 

Villa  Hills 

Vine  Grove 

Walton 

Warsaw 

West  Buechel 

West  Liberty 


10 

4 

4 

30 

24 

22 

1 

9 

19 

14 

3 

21 

5 

5 

2 

2 

28 

1 

1 

55 

33 

1 

1 

6 

8 

123 

2 

3 

69 

10 

20 

1 

5 

1 

3 

16 
7 

10 

16 

II 

5 

7 

3 

33 

2 

43 

10 

4 

25 

24 

25 

3 

15 

1 

16 

6 

22 

27 

4 

8 

10 

5 

5 

3 

2 

9 

2 

3 

19 
6 
6 
6 
4 
6 
9 


5 

5 

4 

4 

25 

5 

18 

6 

18 

4 

1 

6 

3 

14 

5 

8 

6 

1 

15 

6 

5 

5 

7 

? 

23 

5 

1 

47 

8 

28 

1 

5 

1 

6 

5 

3 

94 

29 

7 

3 

65 

4 

10 

16 
1 

4 

4 

1 

1 

3 

14 

2 

6 

1 

8 

2 

12 

4 

11 

5 

7 

1 

25 

8 

2 

34 

9 

10 

4 

19 

6 

19 

5 

15 

10 

3 

11 
1 

4 

13 

3 

6 

17 

5 

23 

4 

4 

4 

4 

6 

4 

5 

5 

3 

7 

6 

3 

7 

3 

16 

3 

6 

5 

1 

3 

3 

1 

3 

6 

5 

4 

KENTUCKY— Continued 

West  Point 

Whitesburg 

Wilder      

Williamsburg 

Williamstown 

Wilmore    

Wi  nchester 

Wjngo      

Worthington 

LOUISIANA 

Alexandria 

Baker 

Baldwin 

Ball 

Baskin 

Bastrop    

Baton  Rouge  

Berwick  

Bogalusa 

Bossier  City 

Church  Point 

Collinston 

Crowley     

Denham  Springs 

De  Quincy 

De  Ridder 

Farmerville 

Franklin  

Franklinton 

Gonzales 

Gretna    

Harahan  

Haynesville 

Houma 

Jeanerette 

Jennings 

Jonesboro 

Jonesville 

Kaplan  

Kent  wood 

Kinder   

Lafayette 

Lake  Charles 

Leesville 

Lockport 

Loreauville 

Mamou    

Mandevillc 

Mansfield 

Minden 

Monroe 

Morgan  City      

Natchitoches        

New  Iberia 

New  Orleans 

Oakdale 

Patterson 

Pineville 

Ponchatoula 

Ruston  

Saint  Martinville 

Shreveport 

Simmesport 

Springhill 

Sulphur  

Tallulah 

Thibodaux 

Vidalia    

Ville  Platte 

Vinton  

Vivian 

Waterproof 


134 

114 

25 

25 

5 

5 

6 

5 

37 

31 

719 

638 

9 

9 

43 

34 

156 

137 

14 

14 

31 

30 

21 

19 

9 

9 

20 

20 

12 

12 

20 

16 

12 

12 

30 

30 

81 

76 

22 

22 

7 

7 

64 

44 

15 

15 

22 

22 

12 

12 

10 

10 

17 

16 

10 

10 

6 

6 

201 

147 

116 

112 

30 

29 

4 

4 

13 

13 

32 

32 

16 

16 

27 

27 

164 

121 

49 

46 

47 

41 

68 

52 

1,736 

1,333 

17 

17 

12 

12 

37 

36 

11 

11 

36 

35 

19 

14 

502 

407 

4 

4 

11 

11 

37 

27 

14 

14 

41 

35 

16 

16 

24 

24 

13 

13 

14 

1 

14 

1 

253 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 

civilians 


City 


Total 

police 

employees 


Total 
ofTicers 


LOUISIANA— Continued 


Welsh 

West  lake 

West  Monroe 

Westwego 

Winnfield 


MAINE 


Ashland 

Auburn 

Augusta 

Baileyville 

Bangor 
Bar  Harbor 

Bath 

Belfast 

Berwick 

Biddeford  

Boothbay  Harbor.. 

Brewer 

Bridgton 

Brunswick  

Bucksport 

Buxton  

Calais 

Camden 

Cape  Elizabeth 

Caribou 

Cumberland 
Damanscotta 

Dexter    

Dixfield 

Dover-Foxcroft 

East  Millinocket  ... 

Eastport 

Eliot 

Ellsworth 

Fairfield 

Falmouth 

Farmington 

Fort  Fairfield 

Fort  Kent 

Freeport 

Fryeburg 

Gardiner 

Gorham 

Hallowell 

Hampden 

Houlton  

Jay 

Kennebunk 

Kennebunkport 

Kittery 

Lebanon 

Lewiston 

Limestone 

Lincoln 

Lisbon 

Livermore  Falls... 

Machias 

Madawaska 
Madison 
Mechanic  Falls .... 

Medway  

Mexico 

Millinocket 

Milo        

Monmouth 

Mount  Desert 

Newport 

North  Berwick 

Norway 
Oakland 
Ogunquit  


MAINE — Continued 


3 
46 
47 

5 
75 

8 
25 
14 

43 

12 

22 

9 

37 

8 

2 

11 

12 

15 

14 

9 

3 

4 

3 

4 

5 

2 

7 

14 

8 

16 

9 

4 

8 

15 
3 

10 

18 

5 

9 

17 

6 

20 

13 

23 

8 

80 

4 

7 

18 

4 

4 

7 

5 

3 

2 

4 

14 

2 

2 

8 

3 

5 

5 

6 


Old  Orchard  Beach 

Old  Town  

Orono  

Oxford        

Pans 
Pitlsfield 

Portland  

Presque  Isle 

Richmond  

Rockland    

Rockport 

Rumford 

Sabattus 

Saco  

Sanford 

Scarborough 

Skowhegan 

South  Berwick 

South  Portland    ....... 

Southwest  Harbor... 

Thomaston 

Topsham  

Van  Buren 

Waldoboro 

Washburn  

Waterville 

Wells 
Westbrook 

Wilton  

Windham  

Winslow 

Winthrop 

Wiscasset 

Yarmouth  

York  


MARYLAND 


Aberdeen 

Annapolis       

Baltimore     

Baltimore  City  Sheriff.. 

Bel  Air 

Berlin 

Berwyn  Heights 

Bladensburg  

Brunswick  

Cambridge 
Capitol  Heights 
Centreville 
Chesapeake  City 
Chestertown 
Cheverly 

Cottage  City    

Crisfield 

Cumberland         

Delmar 

Denton 

District  Heights 

Easton 

Edmonston 

Elkton 

Fairmount  Heights 

Federalsburg 

Forest  Heights 

Frederick 

Frostburg 

Fruitland 

Glenarden 

Greenbelt 

Greensboro 

Hagerstown 

Hampstead 

Hancock 


13 
17 
15 
2 

5 

9 

208 

24 

3 
26 

4 
13 

4 
27 
45 
25 
14 
10 
54 

5 

4 
15 

3 

5 

2 
37 
16 
34 

5 
20 

7 
13 

8 

14 
26 


9 

13 

10 

2 

5 

5 

151 

20 

3 

19 

3 

13 

4 

22 

34 

21 

10 

6 

50 

5 

4 

11 

3 

4 

2 

31 

15 

30 

5 

15 
6 
8 
7 

10 
20 


37 

30 

130 

97 

3.472 

2,929 

136 

120 

34 

26 

8 

7 

3 

3 

18 

13 

II 

10 

41 

32 

8 

8 

2 

2 

8 

7 

11 

10 

6 

4 

8 

7 

54 

50 

6 

5 

6 

6 

7 

6 

38 

27 

3 

3 

25 

20 

7 

7 

6 

6 

85 

72 

17 

13 

7 

6 

4 

3 

51 

40 

2 

2 

90 

73 

254 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 

civilians 


City 


Total 

police 

employees 


Total 
ofTicers 


Total 
civilians 


MARYLAND— Continued 


Havre  De  Grace 

Hurlock   

Hyattsville 

Landover  Hills 

La  Plata 

Laurel  

Lonaconing 

Luke 

Manchester 
Momingside 

Mount  Rainier 

New  Windsor 

North  Beach 

North  East 

Oakland 

Ocean  City 

Ocean  Pines 

Oxford 
Pocomoke  City 

Port  Deposit 

Preston  

Princess  Anne 

Ridgely 

Rising  Sun 

Riverdale 

Rock  Hall 

Rockville 

Saint  Michaels 

Salisbury 

Smithsburg 

Snow  Hill 

Sparrows  Point .... 

Sykesville 

Takoma  Park 

Taneytown 

Thurmont        

University  Park 
Upper  Marlboro  . 

Westernport 

Westminster  


MASSACHUSETTS 


Abington 

Acton 

Acushnel 

Adams 
Agawam 

Amesbury 

Amherst 

Andover 

Arlington 

Ashburnham 

Ashby 

Athol 

Attleboro 

Auburn 

Avon 

Ayer 

Barnstable 

Bedford 

Belchertown 

Bellingham 

Belmont 

Berlin 

Bemardston 

Blackstone 

Bolton 

Boston 

Bourne 

Boxboro 

Boxford 

Boylston 

Braintree 


MASSACHUSETTS— Continued 


28 
29 
17 
23 
52 
30 
37 
63 
80 

5 

3 
23 
73 
26 
15 
17 
93 
24 
15 
31 
61 

4 

2 
15 

8 

2,567 

38 

7 
II 

6 
88 


46 
29 
32 
50 
74 

5 

3 
19 
65 
20 
12 
13 
84 
23 
11 
26 
53 

4 

2 
12 

4 

1,972 

31 

6 
10 

6 
78 


3 
4 
595 
7 
1 
1 


10 


Brewster 

Bridgewater 

Brockton  

Brookline 

Burlington 
Cambridge 

Canton  

Charlton 

Chatham 
Chelmsford 

Chicopee 

Clinton 
Cohasset 

Danvers 

Dartmouth  - 

Dedham    

Deerfield 

Dennis 
Dighton 

Douglas 

Dover 

Dracut 

Dudley  

Duxbury  

East  Bridgewater... 

Eastham  

Easthampton     

East  Longmeadow . 

Easton     

Eidgartown 

Everett 

Fall  River 

Fitchburg 

Foxboro 

Framingham 

Franklin 

Freetown 

Gardner 

Gay  Head 

Georgetown 

Gloucester 

Granby 

Great  Barrington  .. 

Hadley 

Hampden 

Hanson 

Hardwick 

Harvard   

Harwich 

Hatfield 

Haverhill  

Hingham 

Holden    

HoUiston 

Hopedale 

Hopkinton 

Hudson 

Hull 

Ipswich 

Lakeville 

Lancaster    . 

Lawrence 

Lee 

Leicester  . 

Leominster 

Lexington 

Littleton 

Longmeadow 

Lowell 

Ludlow 

Lunenburg 

Lynn 

Lynnfield 

Maiden 

Mansfield 


19 

31 

208 

172 

57 

295 

40 

16 

24 

62 

112 

23 

18 

59 

57 

63 

4 
43 

9 
10 
15 
38 
17 
29 
22 
21 
25 
26 
33 
12 
90 
271 
75 
31 
123 
37 
13 
34 

3 
13 
75 
U 
13 

5 

13 
18 

2 
11 
32 

99 
55 
19 
21 
10 
18 
35 
33 
23 
22 
9 

139 
9 
16 
70 
60 
13 
30 

214 
31 
11 

171 
27 

120 
27 


16 

30 

184 

155 

53 

269 

38 

12 

23 

56 

109 

22 

18 

45 

50 

60 

4 
34 

9 

7 
15 
36 
13 
27 
21 
15 
24 
24 
32 
10 
84 
232 
69 
26 
113 
31 
13 
31 

3 

9 
68 

9 
13 

3 

9 
16 

2 

7 
26 

1 
91 
49 
14 
21 

9 
13 
31 
28 
22 
17 

8 
122 

9 

12 

64 

53 

13 

29 

186 

30 

10 

158 

21 

108 

22 


255 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


Tolal 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


MASSACHUSETTS— ConliBoed 

Marblehead 

Maiion       

Marlborough 

Marshfield  

Mashpee  

Mattapoisett 

Medfield     

Medford    

Medway 

Melrose 

Mendon 

Merrimac 

Methuen     

Middleboro 

Milford 

Milibury 

Millis 

Milton 

Monson 

Montague 

Monterey 

Nahant  

Nantucket  

Needham   

New  Bedford 

Newbury  

Newbury  port 

Newton    

Norfolk 

Northampton 

North  Andover 

Northboro         

Northbridge  

North  Brookfield 

Northfield 

North  Reading 

Norton  

Norwood 

Orange 

Orleans 

Oxford 

Peabody  

Pembroke 

Pepperell  

Pittsfield    

Plamville 

Princeton 

Provmcetown 

Quincy      

Raynham 

Reading 

Rehobolh  

Revere   

Rockport 

Rowley 

Rutland 

Salem 

Sandwich 

Saugus 

Scituate 

Seekonk 

Sharon  

Shelbume 

Sherbom 

Shirley      

Shrewsbury 

Somerville  

Southborough 

Southbridge 

South  Hadley 

Southwick 

Spencer      

Spnngfield 

Stockbridge 

Stoneham 


45 
10 
58 
46 
27 
16 
18 
122 
19 
60 

7 

9 
78 
50 
41 
24 
17 
57 
17 
17 

4 
11 
25 
57 
302 
10 
35 
218 
15 
61 
37 
24 
20 

6 

1 
23 
26 
69 
15 
25 
22 
72 
27 
14 
96 
15 

1 
22 
230 
22 
42 
21 
122 
18 
12 

1 
95 
28 
54 
38 
39 
28 

2 
15 
10 
40 
142 
14 
31 
28 
15 
15 
547 

6 
48 


43 
10 
55 
41 
21 
16 
16 
114 
14 
58 

7 

5 
64 
39 
39 
19 
13 
54 
13 
15 

4 

10 

21 

53 

258 

7 
33 
198 
13 
54 
34 
18 
19 

5 

1 
22 
23 
58 
12 
20 
17 
64 
26 
13 
84 
13 

1 
18 
196 
17 
40 
17 
114 
17 

7 

1 
87 
26 
51 
30 
34 
22 

2 
15 

9 
33 
136 
11 
29 
27 
11 
12 
489 

6 
43 


MASSACHUSETTS— Continued 

Stoughton        

Stow  , 

Sturbndge 

Sudbury  

Sunderland  

Sutton     

Swampscott 

Swansea   

Taunton 

Templeton 

Tisbury 

Wakefield 

Waltham  

Ware       

Wareham 

Watertown 

Webster 

Wellesley 

Wellfleet 

Westboro 

West  Bridgewater 

Weslfield       

Weslford     

Westminster 

Weston       

Westport    

West  Springfield 

Westwood 

Weymouth 

Wilmington 

Winchendon 

Winchester 

Winthrop  

Wobum 

Worcester 

Worthington 

MICHIGAN 

Adrian 

Albion  

Algonac  

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         

Belleville     

Benton  Harbor  

Benton  Township 

Berkley  

Bernen  Spnngs-Oronoko  Township 

Beverly  Hills 

Big  Rapids 

Birch  Run  

Birmingham 

Blackman  Township 

Blissfield  


50 
17 
15 
32 

4 
13 
35 
34 
98 

8 
11 
49 
145 
18 
44 
88 
27 
56 
15 
28 
18 
71 
35 

8 
27 
23 
72 
32 
115 
42 
13 
50 
38 
79 
489 

6 


37 

38 

7 

9 

58 

18 

3 

20 

191 

4 

2 

3 

37 

1 

7 

4 

2 

2 

7 

130 

82 

2 

8 

10 

9 

19 

28 

34 

8 

29 

16 

1 

53 

23 

5 


47 
12 
II 
28 
3 
12 
34 
30 
93 
7 

10 
47 

140 
17 
42 
74 
26 
47 
II 
28 
17 
67 
28 
7 
23 
22 
65 
30 

102 
40 
12 
43 
37 
75 

391 
6 


31 
31 
6 
8 
53 
14 
3 

16 

161 

4 

2 

2 

28 

1 

6 

4 

2 

2 

6 

104 

75 

2 

7 

9 

8 

16 

20 

31 

8 

26 

15 

1 

38 

18 

4 


256 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


MICHIGAN— Continued 


Bloomfield  Hills 

Bloomfield  Township 

Bloomingdale  

Boyne  City      

Breckenindge    

Bridgeport  Township 

Bndgman 

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 

Carsonville 

Caseville 

Caseville  Township.. 

Cass  City 

Cassopolis 

Cedar  Springs 
Center  Line 

Centreville 

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 

Columbia  Township 

Concord 

Constantine 

Coopersville 

Corunna 

Covert  Township 

Croswell 

Crystal  Falls 

Davison 

Davison  Township 

Dearborn 

Dearborn  Heights 

Decatur 

Deckerville 

Denmark  Township 

De  Tour 

Detroit 

De  Witt , 

De  Witt  Township 

Douglas  

Dowagiac       

Dryden  Township 

Durand 

East  Detroit 

East  Grand  Rapids 


MICHIGAN— Continued 


27 

85 
1 

10 
3 
7 
4 

12 
5 
2 

27 

10 

18 
1 

40 

18 
I 
1 

53 
3 
2 
7 
3 
1 
2 
1 
3 
5 
5 

34 
I 
7 

19 

II 
9 
4 
5 

10 
1 
3 
8 

22 

15 
3 

84 
8 

17 
3 
4 
6 
5 
I 
4 
3 
5 
7 
5 
5 
8 

10 

217 

112 

4 

1 

1 

I 

5,674 

6 

11 
3 

17 
2 
4 

54 

34 


23 

68 
1 

6 
3 
6 
4 

II 
5 
2 

22 

10 

16 
1 

35 

14 
1 
1 

40 
2 
2 
6 
2 
1 
2 
1 
3 
4 
4 

28 
1 
6 

19 

11 
6 
4 
5 
9 
I 
3 
6 

21 

11 
3 

67 
8 

14 
2 
3 
5 
5 
1 
4 
3 
5 
7 
5 
5 
6 
8 
178 

80 
4 
1 
1 
1 
5,042 
5 

10 
3 

13 
2 
4 

48 

31 


632 
I 
1 


East  Jordan 

East  Lansing 

East  Tawas 

Eaton  Rapids 

Eau  Claire 

Ecorse     

Elk  Rapids 

Elkton 

Elsie 

Emmett  Township 

Erie  Township 

Escanaba 

Essexville 

Evart 

Fairgrove 

Farmington 

Farmington  Hills 

Fenton 

Ferndale 

Ferrysburg 

Flat  Rock 

Flint 

Flint  Township 

Flushing 

Flushing  Township  

Forsyth  Township 

Frankenmuth 

Frankfort 

Franklin 

Eraser  

Fremont 

Frost  Township 

Galesburg 

Garden  City 

Gaylord 

Genesee  Township 

Gernsh  Township 

Gibraltar 

Gladstone 

Gladwin 

Gobies 

Grand  Beach 

Grand  Blanc 

Grand  Blanc  Township.. 

Grand  Haven 

Grand  Ledge 

Grand  Rapids 

Grandville    

Grant 

Grayling 

Green  Oak  Township 

Greenville 

Grosse  lie  Township 

Grosse  Pointe  

Grosse  Pointe  Farms 

Grosse  Pointe  Park 

Grosse  Pointe  Shores 

Grosse  Pointe  Woods 

Hamburg  Township 

Hampton  Township 

Hamtramck 

Hancock 

Harbor  Beach  , 

Harbor  Springs 

Harper  Woods 

Hart 

Hartford  

Hastings 

Hazel  Park 

Henrietta  Township 

Hesperia 

Highland  Park 
Hillsdale 

Holland 

Holly 


S 

75 

5 

9 

34 

2 

2 

2 

9 

2 

43 

12 

3 

1 

29 

126 

18 

56 

4 

19 

370 

28 

II 

5 

7 

5 

4 

II 

51 

6 

2 

51 

7 

13 

3 

13 

12 

3 

1 

2 

18 

35 

29 

14 

363 

20 

1 

6 

8 

21 

20 

30 

32 

47 

20 

45 

8 

10 

49 

5 

3 

6 

40 

2 

6 

16 

39 

1 

2 

151 

20 

57 

13 


4 
55 

4 

8 

1 

31 

2 

2 

2 

7 

2 

37 

9 

3 

1 

22 

86 

12 

51 

4 

18 

312 

24 

10 

5 

7 

5 

4 

9 

43 

5 

1 

1 

38 

6 

12 

3 

12 

12 

3 

1 

2 

14 

28 

21 

14 

281 

18 

1 

5 

7 

17 

15 

25 

27 

41 

17 

43 

7 

9 

49 

5 

3 

5 

35 

2 

5 

12 

32 

1 

2 

108 

14 

51 


257 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


Tolal 

police 

employees 


Total 
officers 


Tolal 
civilians 


City 


Total 

police 

employees 


Total 
officers 


MICHIGAN— Continued 


Houghton  

Howard  City     

Howard  Township 

Howell 

Hudson 

Hudsonville 

Huntmglon  Woods 

Huron  Township 

Imlay  City 

Inkster 

Ionia 

Iron  Mountain 

Iron  River 

Ironwood 

Ishpeming  

Ishpeming  Township  ..- 

Ithaca  

Jackson  

Jonesville 

Kalamazoo     

Kalamazoo  Township.. 

Kalkaska  

Keego  Harbor 

Kentwood ,. 

Kingsford ^... 

Kmgston 

Laingsburg 

Lake  Angelus 

Lake  Linden 

Lake  Odessa 

Lake  Orion 

Lakeview  

L'Anse     

Lansing     

Lansing  Township 

Lapeer 

Lapeer  Township 

Lathrup  Village 

Laurium 

Lawrence 

Lennon 

Leslie 

Lexington 

Lincoln  Park 

Linden  

Litchfield 

Livonia 

Lowell      

Ludington 

Luna  Pier 

Mackinac  Island 

Mackinaw  City 

Madison  Heights 

Mancelona 

Manchester  Township.. 

Manistee    

Manistique 

Manton    

Marcellus 

Marenisco  Township  ... 

Marine  City 

Marlette     

Marquette 

Marshall   

Marysville  

Mason 

Mattawan 

Mayville     

Melvindale 

Memphis  

Mendon 

Menominee 

Metro  Beach 

Michiana 

Middleville 


7 
3 
2 

14 
4 
4 

21 
9 
8 

68 

14 

11 
5 

17 

12 
1 
4 

86 

4 

265 

32 
5 
6 

41 

17 
1 
1 
3 
1 
3 
7 
2 
4 
345 

15 

18 
3 

11 
4 
3 
1 
3 
3 

66 

3 

4 

176 

6 

14 
4 
4 
5 

63 
3 
1 

15 

12 
1 
2 
1 

10 
3 

38 

18 

14 
9 
2 
1 

29 
3 
1 

22 
5 
2 
4 


7 
1 
2 

13 
3 
4 
16 
6 
7 
48 
10 
II 
5 

16 

11 

1 

4 

63 

4 

214 

24 

4 

5 

35 

17 

1 

I 

3 

1 

2 

4 

2 

4 

253 

14 

16 

3 

8 

4 

3 

1 

3 

3 

59 

3 

4 

136 

5 

13 

4 

3 

5 

56 

3 

1 

15 

10 

1 

2 

1 

9 

3 

33 

13 

12 


MICHIGAN— Continued 


Midland      

Midland  Township 

Milan      

Milford 

Millington 

Monroe 

Montague  

Montrose 

Montrose  Township 

Mornce        

Mount  Clemens 

Mount  Morris 

Mount  Morris  Township 

Mount  Pleasant   

Mundy  Township 

Munising      

Muskegon     

Muskegon  Heights 

Muskegon  Township 

Napoleon  Township 

Nashville 

Negaunee      

Newaygo      

New  Baltimore 

Newberry     

New  Buffalo 

New  Haven  

New  Lothrop 

Niles     

Niles  Township    

Northfield  Township 

North  Muskegon  

Northville      

North ville  Township 

Norton  Shores 

Norvell  Township 

Norway 

Novi  

Oak  Park     

Olivet 

Onaway ; 

Ontonagon 

Ontwa  Township-Edwardsburgh.. 

Orchard  Lake 

Oscoda-Ausable  Township 

Otisville 

Otsego 

Ovid  

Owosso         

Oxford  

Parchment 

Parma 

Paw  Paw 

Pennfield  Township 

Pent  water    

Perry    

Petoskey 

Pigeon  

Pinckney 

Pinconning  

Pittsfieid  Township..'. 

Plainwell         

Pleasant  Ridge  

Plymouth  

Pontiac 

Portage 

Port  Austin 

Port  Huron 

Portland       

Port  Sanilac 

Polterville     

Prairieville  Township 

Quincy 

Reading 

Redford  Township 


4 
5 
4 
2 

28 
8 
2 
6 

22 

25 

23 
1 
5 

54 

73 
2 
2 
3 
6 
8 

11 
3 
7 
1 

19 

13 
4 
1 
8 
7 
2 
5 

12 
2 
4 
3 

22 
8 

10 

22 
212 

59 
1 

69 
6 
1 
3 
1 
3 
1 

76 


43 

2 

14 
10 

3 
44 

7 

4 

2 

I 
31 

6 
21 
22 

5 

4 
62 
20 

9 

3 

2 
10 

1 

7 

4 

5 

3 

2 
21 

8 

2 

5 
18 
17 
22 

1 

5 
35 
67 

2 

2 

3 

5 

7 

8 

3 

7 

1 
18 
10 

4 

1 

6 

6 

2 

4 
11 

2 

3 

3 
15 

7 

9 

18 

166 

47 

1 
51 

6 

I 

3   . 

1 

3 

1    . 
66 


258 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


Cily 


MICHIGAN— Continued 

Reed  City 

Reese 

Richfield  Township  (Genesee  County) 

Richfield  Township  (Roscotninon  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 

Saint  Charles    

Saint  Clair  

Saint  Clair  Shores 

Saint  Ignace 

Saint  Johns 

Saint  Joseph  

Saint  Joseph  Township 

Saint  Louis 

Saline 

Saugatuck 

Sault  Sainte  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 

Springport 

Stanton       

Sterling  Heights 

Stevensville 

Slurgis   

Sumpler  Township 

Sunfield 

Swartz  Creek 

Sylvan  Lake 

Taylor  

Tecumseh  

Thomas  Township 

Three  Oaks 

Three  Rivers   

Tittabawassee  

Traverse  City 

Trenton 

Troy  

Tuscarora  Township 

Twin  City 

Unadilla  Township 

Union  City 

Unionvillc 

Utica 

Van  Buren  Township 


Total 

police 

employees 


6 

2 
6 

3 
3 
3 

14 

35 

30 

19 
6 
9 
7 
9 

58 
7 
1 

89 

3 

102 

28 
139 

44 
4 
9 

90 
6 

15 

26 
9 
9 

15 
3 

26 
3 
3 
3 
3 

44 

1 

164 

51 

16 
8 
I 
7 
1 
2 
8 
5 
1 
1 
215 
4 

17 
7 
1 
8 
5 
114 

14 
1 
3 

17 
6 

32 

54 
161 
3 
5 
1 
3 
I 

12 


Total 
officers 


6 
2 
5 
3 
3 
3 
6 

30 

26 

13 
6 
8 
7 
6 

46 
6 
1 

79 
3 

90 

22 
125 

40 
3 
8 

85 
5 

11 

21 
8 
6 

12 
2 

24 
2 
3 
3 
3 

38 

1 

151 

41 

1 


100 
1 


Total 
civilians 


City 


MICHIGAN— Continued 


Vassar      

Vernon     

Vicksburg 

Walker       

Walled  Lake 

Warren    

Waterford  Township 

Watervliet 

Wayland 

Wayne  

Webberville 

West  Bloomfield  Township . 

West  Branch 

Westland 

White  Cloud 

Whitehall 

White  Lake  Township 

White  Pigeon 

Wiiliamston 

Wixom     

Wolvenne  Lake 

Woodhaven 

Woodstock  Township 

Wyandotte     

Wyoming 

Yale        

Ypsilanti 

Zeeland    

Zilwaukee 


MINNESOTA 


Albert  Lea 

Alexandria 

Anoka 

Apple  Valley 

Austin 

Babbitt 

Baxter 

Bayport 

Belle  Plaine 

Bemidji 

Benson 

Big  Lake 

Blaine 

Bloomington 

Blue  Earth 

Brainerd 

Breckenridge 

Brooklyn  Center 

Brooklyn  Park 

Buffalo 

Bumsville 

Caledonia 

Cambridge 

Cannon  Falls 

Champlin 

Chanhassen  Village 

Chaska 

Chisholm 

Circle  Pines-Lexington.. 

Cloquet 

Cold  Spring 

Columbia  Heights 

Coon  Rapids 

Corcoran 

Cottage  Grove 

Crookston 

Crosby 

Crystal 

Dawson 

Dayton 

Deephaven  

Detroit  Lakes 


Total 

police 

employees 


4 
1 
5 

25 

15 
276 

96 
4 
4 

47 
3 

57 
3 

98 
1 
6 

21 
3 
4 

15 
8 

25 
1 

59 

98 
3 

55 
7 
1 


39 

22 

33 

36 

48 

4 

3 

4 

5 

21 

5 

5 

38 

121 

5 

21 

II 

41 

57 

8 

60 

3 

5 

6 

14 

1 

II 

13 

8 

16 

4 

24 

52 

3 

34 

14 

8 

38 

3 

2 

8 

13 


Total 
officers 


4 
1 
4 

19 

11 
235 

76 
4 
4 

34 
3 

42 
3 

86 
I 
6 

13 
3 
4 

13 
6 

23 
1 

49 

71 
3 

43 
6 
1 


Total 
civilians 


259 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


Cily 


Total 

police 

employees 


Total 
ofTicers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


MINNESOTA— Continued 


Dilworth     

Duluth      

Eagan 

East  Grand  Forks 

Eden  Prairie 

Edina 

Elk  River 

Ely 

Eveleth 

Fairmont 

Faribault  

Farmington 

Fergus  Falls 

Forest  Lake 

Fridley 

Gilbert 

Glencoe 

Glenwood 

Golden  Valley  

Goodview      

Grand  Rapids 

Granite  Falls 

Hastings  

Hermantown 

Hibbing  

Hopkins  

Hoyt  Lakes 

Hutchinson 

International  Falls 

Inver  Grove  Heights 

Jackson  

Jordan      

Kasson    

Kenyon     

La  Crescent 

Lake  City 

Lakeville 

Le  Sueur 

Lino  Lakes 

Litchfield 

Little  Falls 

Long  Prairie 

Luveme 

Madison 

Mankato 

Maple  Grove 

Maplewood 

Marshall 

Medina   

Melrose 

Mendota  Heights 

Minneapolis 

Minnetonka 

Montevideo 

Moorhead 

Mora 

Morris 

Mound 

Mounds  View 

New  Brighton 

New  Hope 

Newport 

New  Prague 

New  Ulm 

Northfield 

North  Mankato 

North  Saint  Paul 

Oakdale 

Oak  Park  Heights 

Olivia 

Orono  

Ortonville 

Osseo 

Owatonna 

Park  Rapids 


3 
166 
48 
20 
43 
49 
14 

I 

30 

7 

22 

9 

40 

6 

7 

3 

39 

4 

15 

5 

19 

7 

29 

31 

5 

20 

11 

29 

6 

4 

4 

3 

4 

8 

26 

5 

9 

9 

13 

5 

6 

3 

42 

30 

51 

20 

4 

4 

15 

827 

55 

9 

48 

5 

10 

II 

14 

21 

27 

5 

5 

22 

21 

9 

15 

18 

6 

4 

17 

6 

2 

24 

5 


3 
129 
32 
18 
31 
43 
II 


6 

1 

3 

29 

10 

4 

12 

3 

5 

18 

1 

6 

1 

28 

1 

22 

9 

5 

14 

6 

11 

22 

7 

5 

1 

4 

4 

3 

4 

7 

1 

18 

8 

5 

8 

1 

8 

1 

11 

2 

5 

fi 

3 

35 

7 

24 

6 

38 

13 

16 

4 

4 

4 

13 

2 

729 

98 

42 

13 

8 

1 

34 

14 

4 

1 

7 

3 

10 

1 

13 

1 

19 

2 

24 

3 

5 

MINNESOTA— Continued 

Pipestone  

Plainview     

Plymouth    

Princeton 

Prior  Lake 

Proctor  

Ramsey  

Red  Wing  

Redwood  Falls 

Richfield  ,  

Robbinsdale  

Rochester  

Roseau 

Rosemount 

Roseville 

Saint  Anthony 

Saint  Bonifacius-Mjnnetrista 

Saint  Cloud :. 

Samt  James 

Saint  Joseph 

Saint  Louis  Park 

Saint  Paul 

Saint  Paul  Park 

Saint  Peter 

Sartell  

Sauk  Centre. 

Sauk  Rapids 

Savage    

Shakopee 

Silver  Bay 

Slay  ton 

Sleepy  Eye 

South  International  Falls 

South  Lake  Minnetonka 

South  Saint  Paul  

Springfield  

Spring  Lake  Park 

Staples 

Stillwater 

Thief  River  Falls 

Tracy 

Two  Harbors 

Virginia 

Wabasha 

Wadena 

Waite  Park 

Waseca 

Wayzata 

Wells 

West  Hennepin 

West  Saint  Paul 

White  Bear  Lake 

Willmar 

Windom 

Winona 

Woodbury 

Worthington 

MISSISSIPPI 

Aberdeen 

Ackerman 

Amory 

Batesville 

Bay  Saint  Louis 

Belzoni 

Booneville 

Brookhaven 

Bruce     

Clarksdale      

Clinton  

Collins  

Columbia  

Columbus  


3 

42 

4 

12 

5 

8 

22 

8 

55 

26 

115 

4 

9 

39 

12 

7 

63 

6 

3 

63 

645 

6 

12 

5 

8 

9 

12 

20 

4 

5 

5 

3 

14 
33 
4 
9 
5 
18 
15 
3 
9 
25 
4 
9 
5 
9 


5 

3 

33 

4 

II 

5 

7 

21 

7 

45 

18 

96 

4 

8 

36 

II 

6 

56 

6 

3 

50 

510 

6 

9 

5 

5 

8 

10 
17 
4 
5 
5 
3 
13 
27 
4 
8 
5 

15 

14 

3 

8 

23 

4 

8 

5 

8 

7 

4 

7 

22 

27 

24 

7 

35 

14 

16 


16 

4 
15 
14 
10 

5 

14 
27 

7 
28 
22 

7 
21 
54 


260 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


MISSISSIPPI— Continued 


MISSOURI 


Como 
Corinth 
Decatur 
De  Kalb 

Drew 

Ellisville 

Eupora 
Fayette 
Florence 
Flowood 

Forest 

Fulton 

Gloster 

Greenville 

Greenwood 

Grenada 

Gulfport 

Hazlehurst 

Hernando 

Indianola 

Inverness 

Jackson  

Kosciusko 

Laurel 

Leakesville 

Lexington 

Long  Beach 

Louisville 

Lucedale 

Macon 

Madison 

Magee 

McComb 

Mendenhall 

Meridian 

Morion 

Moss  Point 

Natchez 

Newton 

Ocean  Springs.. 

Oxford  

Pascagoula 

Pass  Christian.. 

Pearl 

Pelahatchie 

Petal 

Philadelphia 

Picayune 

Pickens 

Purvis 

Quitman 

Raymond 

Ridgeland 

Ripley  

Rolling  Fork.,.. 

Ruleville 

Sandersville 

Senatobia 

Starkville 

Stonewall 

Summit 

Sunflower 

Tupelo 

Verona 

Vicksburg 

Water  Valley  ... 

Waveland 

Waynesboro 

Wiggins 

Winona 

Yazoo  City 


4 
29 

2 

3 

9 

g 

7 

2 

5 

20 

12 

9 

4 

104 

50 

35 

94 

14 

7 

22 

4 

524 

20 

77 

4 

13 

32 

22 

9 

5 

9 

13 

43 

11 

118 

II 

35 

65 

II 

35 

33 

83 

18 

36 

5 

16 

18 

34 

3 

6 

8 

4 

31 

10 

5 

11 

2 

10 

31 

2 

3 

4 

69 

6 

69 

10 

17 

n 
11 

13 
34 


4 

24 

2 

3 

6 

6 

4 

1 

4 

15 

8 

6 

4 

78 

41 

27 

61 

12 

7 

17 

4 

406 

17 

55 

4 

9 

22 

19 

5 

5 

7 

13 

28 

6 

91 

11 

32 

50 

7 

25 

30 

52 

12 

28 

5 

11 

13 

21 

3 

6 

7 

4 

23 

6 

5 

7 

2 

9 

25 

2 

3 

3 

64 

4 

51 

10 

13 

11 

7 

9 

30 


118 

3 

22 

4 
10 
3 
4 


Arnold 

Ballwin    

Bellefontaine  Neighbors 

Bel-Nor 

Bel-Ridge 

Belton 

Berkeley 

Blue  Spnngs 

Bolivar  

Bonne  Terre 

Boonville 

Bowling  Green 

Branson 

Breckenridge  Hills 

Brentwood  

Bridgeton 

Brookfield 

Butler  

Calverton  Park 

Cameron 

Canton 

Cape  Girardeau 

Carrollton 

Carthage 

Centralia 

Chaffee 

Charlack 

Claycomo 

Clayton  

Clinton 

Columbia 

Cool  Valley 

Country  Club  Hills 

Creslwood 

Creve  Coeur 

Crystal  City 

Dellwood 

De  Soto 

Des  Peres 

Edmundson 

Ellisville 

Eureka 

Excelsior  Springs 

Farmington 

Fayette 

Fenton  

Ferguson  

Festus 

Flat  River 

Florissant 

Frontenac 

Fulton 

Garden  City 

Gladstone 

Glendale 

Grain  Valley 

Grandview 

Hanley  Hills 

Hannibal 

Harrisonville 

Hazelwood 

Hillsdale 

Independence 

Ironton 

Jackson  

Jefferson  City 

Jennings 

Joplin 

Kansas  City 

Kearney 

Kennett 

Kirksville 

Kirkwood 

Ladue 

Lake  Lotawana 


45 

32 

37 

28 

23 

23 

7 

7 

12 

11 

28 

22 

50 

42 

49 

35 

10 

7 

6 

6 

19 

14 

7 

5 

24 

19 

12 

11 

26 

20 

62 

51 

17 

10 

10 

6 

7 

7 

13 

9 

7 

3 

77 

58 

7 

6 

25 

22 

10 

5 

5 

5 

8 

7 

8 

7 

66 

55 

19 

15 

112 

89 

9 

8 

9 

8 

35 

28 

41 

33 

15 

U 

14 

13 

18 

12 

37 

31 

8 

7 

20 

19 

13 

12 

26 

18 

20 

15 

5 

5 

23 

17 

59 

52 

24 

15 

14 

8 

85 

71 

23 

18 

22 

18 

50 

40 

13 

10 

7 

6 

48 

39 

6 

5 

45 

30 

22 

14 

49 

37 

9 

7 

199 

152 

4 

4 

14 

14 

72 

58 

52 

37 

73 

59 

1.708 

1,113 

4 

4 

23 

17 

31 

25 

60 

46 

35 

29 

6 

6 

261 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


Total 

police 

employees 


Total 
ofTicers 


Total 
civilians 


City 


Total 

police 
employees 


Total 
officers 


MISSOURI— Continued 


Lake  Saint  Louis. 

Lamar       

Lebanon  

Lees  Summit 

Lexington 

Louisiana 

Macon      

Manchester 

Maplewood 

Marceline 

Marshall      

Maryland  Heights.... 

Maryville 

Mexico 

Moberly 

Mohne  Acres 

Neosho   

Nevada      

Normandy 

North  Kansas  City.. 

Northwoods        

Odessa    


O'Fallon  

Ohvette 

Overland 

Pacific 

Parkville 

Pevely  

Pine  Lawn 

Plattsburg 

Pleasant  Hill 

Potosi 

Raytown 

Republic    

Rich  Hill 

Richmond 

Richmond  Heights... 

Riverside 

Riverview 

Rolla    

Saint  Ann 

Saint  Charles 

Sainte  Genevieve 

Saint  George 

Saint  John 

Saint  Joseph 

Saint  Louis 

Saint  Peters  

Saint  Robert 

Sedalia  

Shrewsbury 

Sikeston 

Slater  

Smithville 

Springfield 

Sugar  Creek 

Sullivan 

Sunset  Hills 

Town  and  Country  . 

Trenton 

Union    

University  City 

Valley  Park 

Vandalia   

Velda  Village  Hills.. 

Vinita  Park 

Warrensburg 

Warson  Woods 

Washington 

Webb  City      

Webster  Groves 

Wellston  

Wentzville 


20 
66 

8 

10 
12 
20 
28 

5 
29 
72 
23 
33 
38 

7 
25 
24 
20 
37 
19 

6 
38 
26 
61 
16 

6 
14 
17 

3 

10 
II 
60 
II 

6 
14 
31 
16 

8 
29 
37 
93 

7 

4 

18 

127 

2,076 

50 

9 
47 
19 
52 

7 

6 
229 
13 
18 
22 
27 
16 
13 
96 
II 

7 

I 
10 
23 

7 
24 
12 
53 
20 
17 


10 

12 

19 

1 

22 

6 

5 

22 

7 

59 

13 

15 

8 

27 

6 

34 

4 

7 

19 

6 

16 

8 

18 

2 

30 

7 

17 

2 

6 

36 

2 

22 

4 

46 

15 

II 

5 

5 

1 

9 

5 

16 

1 

3 

5 

5 

9 

2 

45 

15 

11 

2 

4 

9 

5 

28 

3 

11 

5 

8 

19 

10 

33 

4 

71 

22 

6 

1 

4 

16 

2 

103 

24 

1.518 

558 

42 

8 

9 

37 

10 

17 

2 

46 

6 

4 

3 

6 

177 

52 

11 

2 

13 

5 

17 

5 

25 

2 

11 

5 

11 

2 

76 

20 

10 

1 

4 

3 

9 

1 

21 

2 

6 

1 

19 

5 

12 

43 

10 

17 

3 

12 

5 

MISSOURI— Continued 

Weston 

West  Plains 

Windsor     

Woodson  Terrace       

MONTANA 

Baker 

Billings 

Boulder      

Bozeman         

Columbia  Falls  

Conrad  

Deer  Lodge-Powell  County 

East  Helena 

Eureka    

Fort  Benton 

Glasgow 

Glendive 

Great  Falls 

Hamilton  

Havre 

Helena 

Kalispell 

Laurel  

Lewistown 

Livingston 

Malta 

Miles  City-Custer  County 

Missoula  

Plenty  wood 

Red  Lodge 

Scobey  

Sidney  

Thompson  Falls  

Troy 

West  Yellowstone 

Whitefish  

Wibaux 

NEBRASKA 

Alliance   

Ashland 

Auburn 

Aurora 

Beatrice 

Bellevue 

Broken  Bow 

Central  City 

Chadron 

Columbus 

Cozad 

Crete 

Dakota  City 

David  City 

Elkhom 

Fairbury 

Falls  City 

Fremont 

Genng 

Gordon 

Gothenburg 

Grand  Island 

Hastings 

Holdrege 

Kearney 

Kimball 

La  Vista 

Lexington 

Lincoln       

Madison     

McCook      

Milford 


10 
119 
3 
30 
II 
5 
5 
4 
2 
3 

13 

14 

86 

10 

16 

46 

32 

15 

13 

15 

5 

21 

68 

5 

4 

2 

II 

2 

2 

8 

13 

I 


27 

6 

6 

7 

26 

53 

13 

5 

17 

33 

9 

14 

3 

5 

4 

9 

13 

38 

16 

7 

9 

50 

33 

13 

35 

7 

15 
14 
302 
3 
16 
5 


3 
14 

5 
13 


4 
101 
2 
26 
6 
5 
5 
4 
2 
3 
8 

10 

59 

9 

14 

35 

21 

9 

10 

10 

5 

15 

56 

4 

4 

2 

10 
2 
2 
4 


20 

5 

6 

6 

19 

40 

7 

5 

11 

22 

5 

9 

3 

5 

4 

8 

9 

29 

13 

6 

5 

45 

30 

9 

30 

6 

14 

9 

231 

3 

14 
5 


262 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,   1987 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


NEBRASKA— Continued 


Minden  

Mitchell      

Nebraska  City 

Norfolk     

North  Platte 

Ogallala   

Omaha 
Ord 

Papillion  

Plaltsmouth 

Ralston     

Schuyler     

ScottsblufT 

Seward 

Sidney 

South  Sioux  City 
Stanton 
Superior 
Syracuse 

Tecumseh 

Tekamah 

Valentine 

Valley   

Wahoo 

Wayne 

West  Point 

Wilber 

York 


NEVADA 

Boulder  City 

Caliente 

Carlin    

Fallon   

Henderson 

Las  Vegas  Metropolitan  Police  Jurisdiction 

Lovelock   

North  Las  Vegas 

Reno        

Sparks 

Wmnemucca 

Yerington 


NEW  HAMPSHIRE 


Allenstown 
Alton 

Amherst  

Ashland 

Auburn    

Barrmglon.... 

Bedford     

Belmont 

Berlm 

Boscawen 

Bow 

Bradford 

Bristol 

Carroll 

Charlestown 

Claremont 

Colebrook 

Concord 

Conway 

Derry 

Dover 

Durham 

Enfield 

Epping 

Exeter 

Farmington  . . 
Fitzwilliam  -  . 
Franklin 


NEW  HAMPSHIRE— Continued 


4 

4 
13 
40 
48 
II 
748 
6 
II 
9 
8 
6 
36 
12 
15 
18 
2 
4 
3 
4 
3 
3 
3 
6 
II 
6 
4 
18 


24 

2 

4 

22 

87 

1.629 

6 

149 

360 

98 

17 

6 


4 
4 
12 
30 
30 
9 
587 
4 
10 
8 
7 
6 
28 
8 
II 
14 
2 
4 
3 
3 
3 
3 
3 
6 
7 
6 
4 
14 


20 

2 

4 

15 

56 

1,084 

5 

111 

219 

65 

14 

6 


7 

31 

545 

1 

38 

141 

33 

3 


Gilford 

Goffstown 

Gorham 

Greenville 

Hampstead 

Hampton 

Hanover 

Haverhill 

Hillsboro 

Hinsdale 

Hoidemess 

Hollis 

Hooksett 

Hopkinton 

Hudson 

Jackson  

Jaffrey 

Keene 

Kingston 

Laconia 

Lancaster 

Lebanon  

Lee 

Lincoln 

Litchfield 

Littleton 

Londonderry 

Loudon        

Manchester 

Meredith  

Merrimack 

Milford 

Milton 

Moultonboro 

Nashua 

New  Castle 

New  Hampton 

Newington 

New  London , 

Newmarket 

Newport 

Newton        

Northfield 

North  Hampton... 
Northumberland  ,, 

Northwood     

Pelham      

Pembroke 

Peterborough 

Plainfield 
Plaistow 

Plymouth    

Portsmouth 

Raymond 

Rindge        

Rochester 

Rye    

Salem 

Sanbornton 
Seabrook 

Somersworth 

Sunapee , 

Tilton       

Wakefield 
Waterville  Valley . 

Webster  

Winchester 

Windham 

Wolfeboro 

Woodstock  


13 

32 
9 
2 
2 

38 

21 
5 
6 
5 
5 
8 

19 
5 

36 
2 

II 

41 
6 

44 
6 

26 
3 

II 
6 

13 

41 

2 

210 

13 

39 

20 
2 
6 
190 
3 
3 

10 
9 

10 

16 
5 
5 
9 
4 
3 

19 
9 

12 
I 

16 
9 

75 
8 
3 

45 
9 

62 
4 

22 

25 
5 
8 
5 
6 
1 
5 

16 

II 
4 


7 

22 
8 
2 
2 

30 

15 
4 
6 
4 
5 
7 

18 
4 

27 
2 
9 

36 
6 

33 
6 

24 
2 
6 
5 
9 

33 

2 

171 

12 

29 

18 
2 
5 
141 
3 
3 
9 
4 
9 

12 
4 
4 
8 
4 
3 

14 
9 

10 
1 

II 
7 

64 
7 
3 

37 
8 

50 
4 

17 

18 
4 
7 
5 
5 
1 
4 

11 
9 
4 


263 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

einployees 


Total 
officers 


NEW  JERSEY 

Aberdeen  Township 

Absecon 

Allendale 

Allenhurst 

AUentown 

Alpha 

Alpine 

Andover  Township 

Asbury  Park 

Atlantic  City 

Atlantic  Highlands 

Audubon 

Audubon  Park 

Avalon 

Avon-by-the-Sea 

Bamegat  Township 

Barrington 

Bay  Head 

Bayonne 

Beach  Haven 

Beachwood 

Bedminster  Township 

Belleville 

Bellmawr 

Belmar 

Belvidere 

Bergenfield 

Berkeley  Heights 

Berkeley  Township 

Berlin 

Berlin  Township 

Bernards  Township 

Bemardsville 

Beverly 

Blairstown  Township 

Bloomfield 

Bloomingdale 

Bloomsbury 

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 

Carlstadt 

Cameys  Point  Township 

Carteret 

Cedar  Grove  Township 

Chatham 

Chatham  Township 

Cherry  Hill  Township 

Chesilhurst 

Chester 

Chester  Township 

Cinnaminson  Township 

Clark 

Clayton  


37 
25 
17 
12 

5 

4 
12 
18 
63 
480 
18 
19 

4 
31 
13 
23 
16 

8 
204 
14 
15 
13 
90 
23 
27 

7 
54 
30 
59 
15 
14 
30 
15 

5 

11 

132 

15 

1 
21 
23 

8 
II 
19 
21 
21 
16 
107 
59 
63 
18 
35 

5 
13 
40 
39 
15 
14 
22 

3 

320 

20 

6 
28 
22 
56 
28 
24 
31 
144 

4 

9 
17 
32 
48 
19 


30 
24 
14 
8 
5 
4 
12 
7 

56 

378 

14 

18 

4 

25 

10 

17 

15 

7 

185 

14 

14 

12 

87 

19 

22 

6 

48 

26 

49 

13 

13 

24 

14 

4 

6 

112 

14 

1 

21 

20 

8 

9 

14 

17 

16 

15 

87 

49 

49 

13 

30 

5 

9 

36 

31 

14 

12 

20 

3 

277 

14 

6 

27 

15 

50 

27 

18 

28 

118 

4 

8 

16 
24 
43 
12 


II 

7 

102 

4 

I 

6 
3 
6 
1 
I 
19 


NEW  JERSEY— ConHnued 


Clementon  

Cliffside  Park 

Clifton 

Clinton 

Clinton  Township : 

Closter 

Collingswood 

Cranbury  Township 

Cranford  Township 

Cresskill 

Deal 

Delanco  Township 

Delaware  Township 

Delran  Township 

Demarest 

Denville  Township 

Deptford  Township 

Dover  

Dover  Township 

Dumont  

Dunellen 

Eastampton  Township 

East  Brunswick  Township 

East  Greenwich  Township 

East  Hanover  Township 

East  Newark 

East  Orange 

East  Rutherford 

East  Windsor  Township 

Eatontown 

Edgewater  

Edgewater  Park  Township 

Edison      

Egg  Harbor  City 

Egg  Harbor  Township 

Elizabeth  

Elk  Township 

Elmer 

Elmwood  Park 

Emerson 

Englewood 

Englewood  Cliffs 

Englishtown 

Essex  Fells 

Evesham  Township 

Ewing  Township 

Fairfield  Township , 

Fair  Haven 

Fair  Lawn 

Fairview  

Fan wood  

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).. 


10 
41 
164 

5 

17 
20 
28 
10 
59 
21 
17 

8 

7 
26 
12 
35 
52 
35 
158 
36 
17 
11 
114 
12 
29 
10 
260 
30 
53 
43 
24 
14 
206 
1 

72 
375 

7 

2 
37 
19 
90 
27 

2 
II 
41 
74 
32 
14 
59 
25 
22 

3 

10 
23 
26 
101 
13 
25 
25 

4 
88 
26 
53 

4 
34 
55 
17 

2 
35 
31 
26 
28 
83 
20 
21 


9 
39 
143 

5 

16 
19 
22 

9 
48 
18 
13 

7 

6 
21 
12 
28 
45 
30 
126 
34 
14 
10 
87 
11 
26 
10 
249 
27 
41 
33 
24 
13 
165 
II 
63 
317 

6 

2 

34 
19 
77 
26 

2 
10 
37 
66 
31 
13 
52 
25 
21 

3 

9 
18 
24 
97 
12 
21 
19 

4 
77 
23 
41 

4 
30 
49 
17 

2 
28 
24 
21 
23 
64 
16 
14 


264 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


Cily 


Total 

police 

employees 


Total 
ofTicers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


NEW  JERSEY— Continued 

Greenwich  Township  (Warren  County) 

Guttenberg 

Hackensack 

Hackettstown 

Haddonfield      

Haddon  Heights 

Haddon  Township 

Hainesport  Township 

Haledon    

Hamburg 

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

Hammonton  

Hampton 

Hanover  Township 

Harding  Township 

Hardyston  Township 

Harrington  Park 

Harrison  

Harrison  Township 

Harvey  Cedars 

Hasbrouck  Heights 

Haworth 

Hawthorne 

Hazlet  Township 

Helmetia 

High  Bridge 

Highland  Park 

Highlands 

Hightstown 

Hillsborough  Township 

Hillsdale 

Hillside  Township 

Hi  Nella 

Hoboken 

Ho-Ho-Kus 

Holland  Township 

Holmdel  Township 

Hopatcong 

Hopewell  Township 

Howell  Township       

Independence  Township 

Interlaken 

Irvington 

Island  Heights 

Jackson  Township 

Jamesburg  

Jefferson  Township 

Jersey  City 

Keansburg 

Kearny  

Kenilworth 

Key  port  

Kinnelon 

Lacey  Township 

Lakehurst 

Lakewood 

Lambertvillc 

Laurel  Springs 

Lavallelte , 

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.... 


2 

19 

118 

22 
29 
20 
29 
12 
18 

4 
190 
38 
30 

2 
33 
14 
16 
10 
52 

7 

8 
32 
13 
29 
46 

3 

5 
37 
19 
15 
40 
24 
76 

1 

128 

14 

5 
31 
29 
27 
76 

3 

5 
185 

5 
63 

8 

36 

955 

33 

133 

26 

21 

15 

42 

10 

119 

9 

6 
19 

7 
60 

9 
24 
21 
134 
35 
21 
29 
25 
24 
19 
55 
46 

9 


2 
18 
104 
17 
22 
16 
24 
11 
14 

4 
166 
28 
24 

2 
28 
13 
11 
10 
48 

7 

7 
30 
12 
28 
38 

3 

5 
29 
13 

9 
34 
19 
67 

1 

121 

14 

5 
25 
22 
22 
62 

3 

5 
154 

5 
51 

8 
30 
878 
27 
127 
25 
15 
14 
33 

8 
101 

7 

5 
11 

6 
54 

8 
21 
20 
119 
31 
17 
20 
21 
24 
14 
48 
44 

9 


NEW  JERSEY— Continued 

Long  Beach  Township 

Long  Branch  

Longport    

Lopalcong  Township 

Lower  Alloways  Creek  Township 

Lower  Township 

Lumberton  Township 

Lyndhurst  Township 

Madison    

Magnolia 

Mahwah  Township 

Manalapan  Township 

Manasquan     

Manchester  Township 

Mansfield  Township  (Burlington  County) 

Mansfield  Township  (Warren  County) 

Manioloking  

Mantua  Township 

Manville 

Maple  Shade  Township 

Maplewood  Township 

Margate  City 

Marlboro , 

Matawan 

Maywood  

Medford  Lakes  

Medford  Township 

Mendham 

Mendham  Township 

Merchantville 

Metuchen 

Middlesex       

Middle  Township 

Middletown  Township 

Midland  Park 

Milford         

Miilbum  Township 

Milltown  

Millville      

Mine  Hill  Township 

Monmouth  Beach  

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

Montclair  

Montgomery  Township 

Mont  vale 

Montville  Township 

Moonachie 

Moorestown  Township 

Morns  Plains 

Mornstown 

Morns  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 

Nonh  Brunswick  Township.... 

Nonh  Caldwell    


38 
98 
14 
14 
19 
42 
17 
54 
39 

8 
48 
48 
25 
72 

2 
11 

8 
21 
22 
36 
58 
39 
62 
24 
26 

9 
34 
13 
14 
16 
33 
32 
48 
124 
16 

4 
60 
13 
65 

8 
11 
50 
37 
113 
21 
21 
38 
18 
41 
22 
66 
56 
11 
24 
10 
11 
24 
49 
47 
12 

7 
18 
71 

8 

1.225 

158 

8 

3 
37 
29 
21 
46 
138 
75 
I 


35 
78 
11 
10 
12 
34 
16 
48 
35 

8 
42 
40 
18 
63 

2 
11 

7 
15 
20 
30 
51 
30 
49 
20 
■   25 

8 
27 
12 
13 
12 
29 
30 
36 
101 
12 

4 
52 
10 
53 

7 
10 
41 
28 
99 
15 
20 
33 
15 
32 
18 
58 
47 
11 
19 

9 
10 
20 
39 
40 
11 

6 
15 
64 

7 

1.081 

130 

6 

3 
34 
24 
15 
43 
100 
68 
15 


265 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


aty 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


NEW  JERSEY— Continued 


Northfield 

North  Haledon 

North  Hanover  Township 

North  Plainfield  

Northvale 

North  Wildwood 

Norwood 

Nutley 

Oakland 

Oaklyn    

Ocean  City 

Ocean  Gate 

Oceanport 

Ocean  Township  (Monmouth  County) . 

Ocean  Township  (Ocean  County) 

Ogdensburg 

Old  Bridge 

Old  Tappan 

Oradell 

Orange  

Oxford  Township 

Palisades  Park 

Palmyra 

Paramus 

Park  Ridge 

Parsippany-Troy  Hills  Township 

Passaic  

Passaic  Township 

Palerson 

Paulsboro.,... , 

Peapack  and  Gladstone 

Pembcrton 

Pemberton  Township 

Pennington 

Pennsauken  

Penns  Grove 

Pennsville  Township 

Pequannock  Township.. 

Perth  Amboy 

Phillipsburg 

Pine  Beach 

Pine  Hill 

Pine  Valley 

Piscataway  Township 

Pitman 

Plainfield 

Plainsboro  Township 

Pleasantville 

Plumsted  Township    

Pohatcong  

Point  Pleasant   

Point  Pleasant  Beach 

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 


26 
17 

4 
42 
13 
32 
14 
71 
30 

9 
69 

5 
19 
71 
II 

4 

132 

14 

22 

99 

3 

31 

16 

120 

19 

129 

154 

24 

428 

19 

7 

3 
49 

2 
116 
16 
33 
29 
118 
38 

6 
17 

8 
98 
18 
162 
28 
49 

2 

6 
32 
34 
24 
35 
37 
10 
76 
36 
45 
19 
23 
17 
46 
32 
31 
53 
27 
14 
26 
11 

6 
21 
22 
14 
57 


61 

4 

14 

61 

7 

4 

101 

13 

21 

91 

3 

30 

15 

98 

19 

110 

146 

18 

382 

13 

6 

3 

41 

2 

86 

11 

30 

24 

105 

32 

5 

14 

7 

86 

13 

126 

20 

43 

2 

5 

25 

20 

18 

31 

30 

10 

70 

31 

35 

17 

21 

16 

40 

30 

29 

45 

21 

II 

22 

10 

6 

21 

22 

13 

43 


NEW  JERSEY— Continued 


Roseland 

Roselle       , 

Roselle  Park : 

Roxbury  Township 

Rumson    

Runnemede 

Rutherford 

Saddle  Brook  Township 

Saddle  River       

Salem  

Sayreville 

Scotch  Plains : 

Sea  Bnghl 

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  Orange 

South  Plainfield 

South  River 

South  Toms  River 

Sparta  Township 

Spotswood 

Sprmgfield 

Spring  Lake  

Spring  Lake  Heights 

Stafford  Township 

Stanhope         

Stillwater  Township 

Stone  Harbor 

Stratford ^ 

Summit 

Surf  City 

Sussex  

Swedesboro 

Teaneck  Township 

Tenafiy  

Teterboro 

Tewksbury  Township 

Tinton  Falls    

Tolowa 

Trenton    

Tuckerton   

Union  Beach 

Union  City 

Union  Township 

Upper  Saddle  River 

Ventnor  City 

Vernon  Township 

Verona 

Vineland  

Voorhees  Township 

Waldwick  , 

Wallington  , 

Wall  Township  , 

Wanaque  , 

Warren  Township       

Washington  

Washington  Township  (Bergen  County) 

Washington  Township  (Gloucester  County) 
Washington  Township  (Mercer  County) 

Washington  Township  (Morris  County) 

Washington  Township  (Warren  County) 

Watchung  


22 
44 
33 
41 
17 
16 
50 
32 
15 
23 
92 
46 
12 
13 
32 
32 
19 
68 
13 
15 

9 
29 
37 
31 

9 
12 
66 
1 

53 
57 
32 

6 
32 
20 
43 
17 
16 
47 

8 

1 
31 
10 
55 
14 

4 

4 
99 
36 

8 

8 
30 
24 
433 
10 
14 
165 
145 
22 
42 
30 
34 
128 
42 
23 
19 
61 
21 
25 
14 
19 
64 
14 
30 

9 
27 


22 
42 
31 
34 
17 
14 
45 
31 
13 
18 
79 
42 
10 

9 
23 
24 
15 
62 
12 
13 

8 
23 
32 
28 

9 
12 
53 
18 
47 
52 
26 

6 
27 
19 
40 
13 
13 
37 

7 

1 
24 

9 
46 
10 

4 

4 
87 
32 

8 

7 

24 

23 

366 

8 

11 

142 

112 

18 

34 

23 

31 

113 

31 

19 

19 

50 

16 

19 

9 
19 
52 
13 
23 

9 
22 


266 


fable  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


NEW  JERSEY— Continued 


Waterford  Township 

Wayne  Township 

Weehawken  Township 

Wenonah  

Weslampton  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  Patterson 

Westville  

West  Wildwood 

West  Windsor  Township.. 

Westwood   

Wharton  

Wildwood  

Wildwood  Crest 

Willingboro  Township 

Wmfield  Township 

Winslow  Township 

Woodbridge  Township 

Woodbury 

Woodbury  Heights 
Woodclirr  Lake 

Woodlynne  

■Wood  Ridge 

"Woodstown 

Woolwich  

sVyckolT  


NEW  MEXICO 


\coma  , 

Alamogordo 

Albuquerque 

Artesia 

Aztec 

Bayard 

Selen 

Bosque  Farms 

Carlsbad 

Clayton 

Clovis 

Corrales  

Cuba         

Deming  

Farmington 

3allup 

3rants 

Hobbs 

Hurley 

Jal  

Jemez  Springs 
Las  Cruces 
Las  Vegas 
Los  Alamos 

Los  Lunas 

Lovmgton 

Mesilla         

Milan 

Masqueru 

Portales 

Questa. 

Raton 

Red  River 

Rio  Rancho 

Roswell  

Ruidoso 

'Ruidoso  Downs . 


NEW  MEXICO— Continued 


18 
111 
48 

5 
19 

3 
30 

7 
31 
66 
21 
46 
105 
96 
21 
16 

2 
36 
27 
12 
42 
26 
79 

6 

69 

203 

29 

6 
17 

5 
18 

7 

5 
25 


10 

77 

1.077 

31 

21 
7 


22 

8 

50 

15 

74 

12 

7 

27 

106 

97 

32 

101 

4 

8 

6 

125 

52 

44 

19 

25 

5 

II 

2 

22 

4 

22 

7 

67 

96 

26 

9 


16 
106 
45 

5 
16 

3 
29 

6 
26 
57 
17 
39 
105 
89 
19 

9 

2 
29 
25 
11 
34 
21 
65 

6 
55 
171 
24 

5 
16 

5 
18 

6 

5 
23 


710 

18 

13 

6 

16 

7 

34 

5 

57 

7 

3 

21 

81 

49 

21 

67 

4 

4 

3 

94 

34 

29 

14 

17 

5 

6 

1 

19 

3 

16 

3 

37 

72 

25 

9 


4 
15 
367 
13 
8 
1 

6 

I 

16 

10 

17 

5 

4 

6 

25 

48 

II 

34 

4 
3 
31 
18 
15 
5 
8 

5 
1 
3 
1 

6 

4 

30 

24 

1 


Santa  Rosa 

Silver  City 

Springer 

Taos    

Taos  Pueblo  Tribal 

Talum 

Truth  or  Consequences . 

Tularosa 

Vaughn  


NEW  YORK 


Addison  Town  and  Village 

Albion  Village 

Alexandria  Bay  Village 

Altamont  Village     

Amherst  Town       

Amity  Town  and  Belmont  Village  . 

Amityville  Village 

Amsterdam 

Andover  Village 

Angola  Village       

Arcade  Village - 

Ardsley  Village    

Asharoken  Village 

Athens  Village 

Auburn       

Avon  Village 

Bainbndge  Village 

BaldwinsviUe  Village 

Balavia 

Bath  Village 

Beacon  

Bethlehem  Town 

Binghamton  

Blasdell  Village 

Blooming  Grove  Town 

Bolivar  Village 

Brant  Town 

Bnarcliff  Manor  Village 
Brighton  Town 
Bronxville  Village 
Buchanan  Village 

Buffalo       

Caledonia  Village 

Camitlus  Town  and  Village 

Canandaigua 

Canastota  Village 

Canisteo  Village 
Canton  Village. 
Carmel  Town 
Carroll  Town 

Carthage  Village 

Catskill  Village  

Cattaraugus  Village 

Cayuga  Heights  Village 

Chatham  Village    

Cheektowaga  

Chester  Village  

Chittenango 

Clarkstown  Town 

Clifton  Springs  Village 
Clinton  Village 
Clyde  Village 
Coeymans  Town , 

Cohoes 

Cold  Spring  Village 
Cooperstown  Village 

Corning  

Cornwall-on-the-Hudson  Village 

Cornwall  Town    

Cortland    

Cove  Neck  Village 

Crawford  Town 


3 

11 

3 

1 

168 
1 

27 

39 

1 

4 

6 

15 

3 

2 

63 

3 

I 

15 

34 

14 

33 

41 

144 

4 

10 

I 

1 

17 

49 

26 

5 

1,093 

3 

17 

30 

6 

2 

13 

38 

1 

7 

14 

1 

7 

4 

140 

1 

6 

140 


3 

10 

3 

1 

140 

1 

25 

37 

1 

4 

6 

15 

3 

2 

55 

3 

1 

12 

31 

10 

31 

31 

135 

4 

10 

1 

1 

17 

40 

23 

5 

970 

3 

16 

26 

6 

2 

11 

36 

1 

6 

14 

1 

6 

4 

128 

1 

6 

124 


267 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


Tolal 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


NEW  YORK— Continued 

Dansville  Village 

Depew  Village 

Deposit  Village    

Dobbs  Ferry  Village 

Dryden  Village  

Dunkirk    

East  Aurora-Aurora  Town 

East  Greenbush  Town 

East  Hampton  Village 

East  Hampton  Town     

East  Rochester  Village 

East  Syracuse  Village..... 

Ellenville  Village 

Ellicott  Town   

Elmira  Heights  Village 

Elmsford  Village  * 

EndicotI  Village 

Erwin  Town 

Evans  Town 

Fairpon  Village 

Floral  Park  Village 

Florida  Village  

Fort  Edward  Village 

Fort  Plam  Village 

Franklinville  Village 

Fredonia  Village 

Freeport  Village 

Fulton 

Gates  Town 

Geddes  Town 

Geneseo  Village 

Geneva 

Glen  Cove 

Glens  Falls 

Glenville 

Gloversville 

Gouvemeur  Village 

Gowanda  Village 

Great  Neck  Estates  Village 

Greece  Town 

Greene  Village 

Greenport  Village 

Greenport  Town 

Greenwich  Village 

Groton  Village 

Hamburg  Village 

Hammondsport    

Hancock  Village 

Hanover  Town 

Harnman  Village 

Harrison  

Hastings-on-Hudson  Village 

Haverstraw  Village 

Haverstraw  Town 

Hempstead  Village 

Herkimer  Village  

Holley  Village       

Homer  Village 

Hoosick  Falls  Village 

Homell 

Horseheads  Village 

Hudson     

Hudson  Falls  Village 

Hunter  Town     

Irondequoit  Village 

Irvington  Village 

Johnstown 

Kenmore  Village 

Kensington  Village 

Kent  Town 

Kirkland  Town 

Lackawanna    

Lake  George  Village 

Lake  Placid  Village       

Lake  Success  Village 


10 

39 

3 

23 

4 

31 

19 

19 

20 

61 

8 

12 

13 

11 

10 

14 

50 

2 

23 

8 

49 

1 

5 

3 

2 

16 

90 

39 

32 

12 

6 

33 

51 

36 

27 

38 

12 

5 

15 

92 

2 

7 

1 

3 

2 

22 

3 

1 

5 

3 

67 

20 

1 

28 

119 

20 

4 

3 

3 

22 

14 

23 

16 

5 

63 

20 

23 

32 

6 

17 

4 

59 

4 

15 

25 


NEW  YORK— Continued 

Lakewood-Busti   

Lancaster  Town     

Lancaster  Village  

Laurel  Hollow  Village  

Le  Roy  Village       

Lewiston  Village    

Liberty  Village      

Lloyd  Harbor  Village 

Lloyd  Town 

Lockport      

Long  Beach  

Lowville  Village 

Lynbrook  Village 

Lyons  Village      

Macedon  Town  and  Village 

Malverne  Village  

Mamaroneck  Village 

Manlius  Town  

Marcellus  Village  

Marion  Town        

Marlborough  Town 

Massena  Village 

Mechanicville 

Medina  Village      

Middleport  Village 

Mill  Neck  Village 

Mohawk  Village 

Monroe  Village      

Montgomery  Town 

Monticello  Village 

Moravia  Village  

Mount  Kisco  Village 

Mount  Morns  Village 

Mount  Pleasant  Town 

Naples  Town  and  Village 

Newark  Village   

New  Castle  Town 

New  Rochelle       

New  Windsor  Town 

New  York 

New  York  Mills  Village 

Niagara  Town  

Niagara  Falls 

Niskayuna  Town  

Nissequogue  Village 

Norfolk  Town   

North  Castle  Town 

Northport  Village 

North  Syracuse  Village 

North  Tonawanda 

Norwich    

Ocean  Beach  Village 

Ogden  Town 

Ogdensburg 

Old  Brookville  Village 

Old  Westbury  Village 

Oiean  

Oneida  

Orangetown  Town 

Orchard  Park  Town 

Oriskany  Village  

Ossining  Village 

Oswego  Village  

Owego  

Oyster  Bay  Cove  Village 

Painted  Post  Village 

Palmyra  Village 

Pawling  Village     

Peekskill      

Pelham  Village 

Perry  Village 

Piermont  Village 

Platlsburgh 

Port  Chester  Village 

Port  Dickinson  Village 


25 

22 

9 

10 

2 

17 

13 

6 

54 

88 

6 

48 

9 

2 

22 

52 

33 

I 

I 

4 

24 

12 

10 

1 

3 

5 

16 

4 

24 

1 

27 

4 

49 

1 

21 

39 

214 

35 

34,764 

3 

4 

153 

33 

4 

1 

28 

20 

17 

53 

20 

2 

9 

32 

38 

29 

35 

22 

84 

30 

1 

51 

54 

17 

8 

4 

5 

3 

64 

25 

5 

6 

48 

57 

3 


21 

16 

7 

7 

2 

14 

12 

6 

52 

75 

6 

46 

7 

2 

22 

46 

30 

1 

1 

4 

23 

11 

10 

1 

3 

5 

12 

3 

22 

1 

25 

3 

41 

1 

19 

37 

186 

28 

27,523 

3 

4 

138 

26 

4 

1 

26 

16 

12 

50 

18 

2 

8 

27 

33 

25 

34 

19 

77 

29 

1 

45 

48 

13 

8 

4 

5 

3 

47 

25 

5 

6 

44 

53 

3 


268 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


NEW  YORK— Continued 


NORTH  CAROLINA 


Port  Henry  Village 

Port  Jervis 

Potsdam  Village 

Poughkeepsie 

Poughkeepsie  Town 

Pound  Ridge  Town 

Pulaski  Village   

^uogue  Village  ;.... 

[Randolph  Town  

Ked  Hook  Village 

Rensselaer    

Riverhead  Town  

Rochester 

Rockville  Centre  Village 

Rome  

Rotterdam  Town 

Rouses  Point  Village..... 

Rye  

Rye  Brook  Village 

Sag  Harbor  Village 

iainl  Johnsville  Village 

Salamanca 

ialem  Village 

ialtaire  Village 

iands  Point  Village 

aratoga  Springs 

iaugerties  Town 

chodack  Town 

ichoharie  Village 

icotia  Village 

ieneca  Falls  Village 

Ihandaken  Town 

thelter  Island  Town 

iherrill 

iidney  Village 

Silver  Creek  Village 

Jkaneateles  Village 

iloalsburg  Village 

lodus  Point  Village 

iodus  Village 

iolvay  Village 

touthampton  Town 

iouthampton  Village 

louth  Glens  Falls  Village... 

iouth  Nyack  Village 

ipring  Valley  Village 

lufTern  Village 

iyracuse  

Tonawanda  Town 

"uckahoe  Village 

Tupper  Lake  Village 

."uxedo  Town 

Jlster  Town 

Varsaw  Village 

Varwick  Village    

Varwick  Town  

Vashingtonville  Village 

Vaterloo  Village 

Vatkins  Glen  Village 

Vaveriy  Village 

A/ ebb  Town 

A/ebster  Town  and  Village  . 

A'ellsville  Village 

tVestfield  Village 

A'est  Seneca  Town 

A'hitehall  Village 

iVhite  Plains 

iVhitesboro  Village 

*Vindham  Town 

*Voodbury  Town 

vVoodhull  Village 

sVoodstock  Town 

honkers 

Vorktown  Town 

Vorkville  Village 


1 

18 

20 

88 

79 

1 

2 

8 

1 

2 

31 

70 

725 

62 

72 

47 

1 

40 

22 

12 

3 

13 

1 

3 

19 

61 

19 

6 

1 

13 

14 

2 


5 

7 
1 
1 

16 
106 

27 
6 
6 

45 

27 
562 
130 

26 

11 

12 

13 
6 

12 
9 
7 
8 
9 

13 
4 

40 

14 
5 

69 

3 

251 

4 

3 

13 
1 

10 
591 

58 
3 


1 

18 

16 

77 

67 

1 

2 

8 

1 

2 

26 

56 

601 

53 

63 

36 

1 

36 

22 

II 

3 

13 
1 

3 

19 

57 

12 

5 

1 

13 

11 

2 


5 

5 

7 

1 

1 

12 

79 

19 

6 

6 

39 

24 

431 

99 

22 

10 

9 

13 

6 

11 

8 

6 

7 

5 

13 

4 

29 

11 

5 

65 

3 

200 

4 

3 

10 

1 

10 

495 

50 

3 


5 

14 
124 
9 
9 
11 


6 

3 
131 
31 
4 
1 
3 


96 


Aberdeen 

Ahoskie 

Albemarle 

Andrews 

Angier 

Apex 

Archdale 

Arlington 

Asheboro 

Asheville 

Atlantic  Beach 

Aulander 

Ayden 

Bailey 

Banner  Elk 

Battleboro    

Beach  Mountain 

Beaufort 

Belhaven 

Belmont  

Benson  

Bessemer  City 

Bethel 

Beulaville 

Biscoe 

Black  Creek 

Black  Mountain 

Bladenboro 

Blowing  Rock 

Boiling  Springs 

Boiling  Springs  Lakes  . 

Boone 

Brevard  

Broadway 

Brookford 

Bryson  City 

Bunn 

Burgaw 

Burlington 

Burner 

Candor 

Canton 

Cape  Carteret 

Carolina  Beach 

Carrboro 

Gary 

Catawba 

Chadboum 

Chapel  Hill 

Charlotte 

Cherryville 

China  Grove 

Claremont 

Clayton 

Clinton 

Clyde 

Coats 

Concord  

Conover 

Conway 

Cooleemee 

Cramerton 

Creedmoor 

Dallas 

Davidson 

Dobson 

Drexel 

Dunn 

Durham 

Eden 

Edenton 

Elizabeth  City 

Elizabethtown 

Elkin 

Ellerbe 


17 

16 

43 

5 

9 

17 

10 

I 

47 

163 

28 

3 

13 

4 

4 

4 

13 

14 

9 

20 
14 
14 
6 
3 
5 
2 
12 
5 

10 
3 
3 

36 

21 

3 

1 

5 

2 

6 

111 

44 

3 

19 

4 

22 

26 

44 

2 

8 

8S 
8S6 
IS 
4 
4 
19 
30 
3 
5 
61 
14 
2 
2 
6 
12 
9 
9 
4 
5 

32 
356 
41 
16 
36 
II 
17 
3 


15 

16 

39 

5 

5 

11 

10 

I 

44 

125 

23 

3 

9 

4 

4 

4 

9 

14 

8 

12 

10 

10 

5 

3 

5 

2 

8 

5 

6 

3 

3 

34 

18 

3 

1 

5 

2 

6 

86 

38 

3 

16 

4 

16 

24 

41 

I 

6 

66 

664 

13 

4 

4 

14 

23 

3 

5 

52 
14 
2 
2 
6 
9 
9 
6 
4 
5 

25 
272 
39 
14 
29 
10 
16 
3 


269 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees.  Cities,  October  31,  1987 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
ofTicers 


NORTH  CAROLINA— Continued 

Elm  City 

Elon  College 

Emerald  Isle 

Enfield 

Erwin 

Eureka     

Fair  Bluff 

Fairmont  

Farmville 

Fayetteville 

Forest  City 

Franklin 

Franklinton 

Fuquay-Varina 

Gamer 

Gastonia 

Gibson 

Gibsonville 

Goldsboro 

Graham 

Granite  Falls 

Greensboro , 

Greenville 

Grifton 

Hamlet 

Havelock 

Hazelwood 

Henderson 

Hendersonville 

Hertford 

Hickory 

Highlands 

High  Point 

Hillsborough 

Holden  Beach 

Holly  Ridge 

Hope  Mills 

Hudson    

Indian  Beach 

Jacksonville 

Jefferson 

Jonesville 

Kannapolis 

Kenansville 

Kenly 

Kemersville 

Kill  Devil  Hills 

King 

Kings  Mountain 

Kinston 

Kilty  Hawk 

La  Grange 

Lake  Lure 

Lake  Waccamaw 

Landis 

Laurel  Park 

Laurinburg 

Lenoir 

Lewiston 

Lexington 

Liberty  

Lillington 

Lincolnton 

Locust 

Long  Beach 

Longview 

Louisburg 

Lowell    

Lucama 

Lumberton 

Madison  

Maiden 

Manteo 

Marion 

Mars  Hill 


270 


NORTH  CAROLINA— Continued 


15 

15 

12 

1 

4 

12 

19 

258 

25 

9 

10 

13 

26 

158 

I 

II 

93 

1 

10 

479 

111 

5 

19 

27 

6 

48 

41 

4 

96 

7 

189 

12 

5 

2 

18 

10 

3 

105 

2 

5 

74 

3 

5 

26 

21 

10 

26 

79 

7 

7 

2 

2 

4 

2 

30 

53 

2 

65 

6 

5 

22 

2 

16 

10 

10 

7 

4 

50 

15 

10 

5 

15 
5 


11 

10 
8 
I 

4 
8 

15 
196 

21 
9 
6 
8 

23 

119 

1 

8 

73 

16 

10 
370 

90 
5 

15 

22 
6 

44 

32 
4 

75 

7 

159 

11 
5 
2 

12 
9 
3 

84 
2 
5 

66 
3 
5 

20 

16 
9 

18 

63 
7 
7 
2 
2 
4 
1 

26 

46 
1 

55 
6 
5 

20 
2 

11 
9 

10 
5 
4 

42 

10 
9 
5 

13 
5 


109 
21 


Marshville 

Matthews 

Mayodan 

McAdenville 

Mebane  

Middlesex   

Mocksville  

Monroe 

Montreal     

Mooresville 

Morehead  City 

Morganton  

Mornsville 

Mount  Airy 

Mount  Gilead 

Mount  Holly 

Mount  Olive 

Murfreesboro 

Murphy      

Nags  Head 

Nashville    

New  Bern 

Newland 

Newport      

Newton       

North  Wilkesboro... 

Norwood    

Oakboro     

Old  Fort    

Oxford  

Pembroke  

Pine  Level 

Pilot  Mountain 

Pmehurst  

Pine  Knoll  Shores.. 

Pinetops  

Pineville      

Pink  Hill 

Pittsboro 

Plymouth 

Princeton 

Raeford      

Raleigh        

Ramseur    

Randleman 

Ranlo  

Red  Spnngs 

ReidsviUe      

Richlands     

River  Bend 

Roanoke  Rapids 

Robbins         

Robersonville 

Rockingham 

Rocky  Mount 

Rolesville    

Rose  Hill  

Rowland       

Roxboro 

Rutherfordton 

Saint  Pauls 

Salisbury     

Saluda 

Sanford 

Scotland  Neck 

Selma  

Shelby  

Slier  City 

Smithfield      

Southern  Pines 

Southern  Shores 

Southport 

Sparta  

Spindale  

Spring  Hope 


4 
17 
12 
4 
13 
3 

10 

62 

5 

26 

22 

60 

3 

38 

5 

17 

14 

13 

8 

17 

7 

50 

3 

3 

30 

23 

4 

2 

3 

28 

II 

2 

8 

16 

7 

8 

10 

1 

6 

13 

2 

14 

435 

6 

6 

5 

13 

37 

3 

4 

36 

7 

7 

25 

135 

4 

4 

4 

27 

20 

10 

70 

2 

56 

15 

20 

49 

15 

27 

29 

4 

9 

5 

9 

5 


4 

15 

2 

9 

3 

4 

IQ 

3 

3 

9 

1 

57 

5 

5 

22 

4 

17 

5 

55 

5 

3 

35 

3 

5 

15 

2 

9 

5 

9 

4 

8 

14 

3 

6 

1 

42 

8 

3 

3 

22 

8 

20 

3 

4 

? 

3 

23 

5 

6 

5 

7 

7 

1 

13 

3 

7 

5 

3 

in 

1 

6 

8 

5 

■> 

11 

3 

390 

45 

6 

6 

5 

10 

3 

35 

2 

3 

4 

27 

9 

5 

2 

7 

20 

5 

106 

29 

4 

4 

4 

22 

5 

10 

10 

8 

2 

53 

17 

7 

48 

8 

8 

7 

15 

5 

35 

14 

11 

4 

23 

4 

23 

6 

4 

6 

3 

5 

9 

1 

Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


NORTH  CAROLINA— Continued 


OHIO 


Spring  Lake 

Spruce  Pine  

Slantonsburg 

Star 

Statesville 

Stoneville 

Sugar  Mountain 

Sunset  Beach 

Surf  City  

Swansboro 

Sylva 

Tabor  City 

Tarboro 

Taylorsville 

Thomasville 

Topsail  Beach 

Trent  Woods 

Troutman 

Troy 

Tryon 

Valdese 

Vass 

Wadesboro 

Wake  Forest 

Wallace 

Walnut  Cove 

Warrenton 

Warsaw 

Washington 

Waxhaw 

Waynesville 

Weldon 

Wendell 

West  Jefferson 
Whispering  Pines.... 

White  Lake 

Whiteville 

Wilkesboro 

Williamston 

Wilmington 

Windsor 

Winston-Salem 

Winterville 

Woodfin 

Woodland 

Wrightsville  Beach.. 

Yadkinville 

iZebulon 


NORTH  DAKOTA 


'Bismarck  

Bowman    

Carrington 

Devils  Lake.... 

Dickinson 

Fargo 

Grafton 

Grand  Forks... 

Harvey 

Hazen 

Jamestown 

Langdon  

Lisbon 

Mandan 

Mayville 

Minol 

Rugby 

Valley  City  .... 

Wahpeton 

Watford  City. 
West  Fargo.... 


19 
12 
3 
4 
67 
4 
7 
5 
4 
4 
7 
9 
31 
6 
49 
3 
2 
3 
7 
8 
11 
3 

19 

15 

14 

4 

6 

12 

26 

4 

26 

10 

11 

4 

6 

4 

23 

13 

13 

155 

6 

447 

4 

7 

1 

26 

5 

11 


87 
3 
4 

13 

38 
104 

11 

78 
3 
5 

31 
3 
2 

29 
2 

66 
5 

14 

1 
4 

1 


12 

10 
3 
4 

57 
4 
7 
5 
4 
4 
7 
5 

22 
6 

40 
3 
2 

3 
7 
6 
11 
3 

14 

11 

13 

4 

5 

9 

24 

4 

19 

7 

7 

4 

6 

4 

17 

12 

13 

116 

6 

345 

4 

7 

1 

21 

5 

10 


10 


102 


25 


Ada      

Akron        

Alliance      

Amberley 
Amherst 

Ansonia        

Archbold 

Arlington  Heights 

Ashland 

Ashtabula 

Athens 

Aurora 

Avon  Lake  

Bainbridge  Township... 

Barbcrton 

Bath  Township 

Bay  Village 

Bazetta  Township 

Beavercreek  Township.. 

Bedford        

Bedford  Heights 

Bellaire , 

Bellbrook 

Belpre 

Berea  

Bethel 

Beverly 

Bexley 

Blanchester 

Blue  Ash 

Boardman 

Bowling  Green 

Bradford    

Brady  Lake 

Brecksville 

Brewster    

Briarwood  Beach 

Bndgeport 

Broadview  Heights 

Brookfield  Township  .... 

Brooklyn  

Brooklyn  Heights 

Brook  Park    

Brookville 

Brunswick 

Bryan 

Bucyrus 

Cadiz 

Cambridge 

Canal  Fulton 

Canfield 

Canton 

Carey 

Carlisle 

Celina 

Centerville  

Chagnn  Falls 

Chardon        

Chillicothe 

Cincmnati     

Circleville  

Clear  Creek  Township  . 

Cleveland 

Cleveland  Heights 

Cleves  

Clyde    

Coldwater 
Columbiana 

Columbus 

Conneaul 

Copley 

Cortland 

Covington 

Crestline 

Cuyahoga  Falls 


9 

502 

38 

18 

19 

2 

6 

6 

35 

36 

26 

21 

21 

15 

44 

17 

24 

7 

38 

32 

36 

14 

5 

15 

35 

3 

5 

32 

10 

38 

43 

42 

2 

1 

25 

3 

2 

8 

19 

7 

33 

II 

46 

13 

33 

19 

25 

4 

33 

3 

15 

181 

10 

5 

18 

28 

18 

13 

54 

1,105 

22 

10 

1.891 

115 

1 

15 

5 

12 

1.603 

23 

17 

5 

4 

15 


6 

453 

35 

16 

14 

2 

6 

5 
26 
30 
21 
16 
21 
13 
43 
13 
22 

6 
32 
26 
28 
14 

5 

10 
27 

3 

3 
24 

5 
30 
36 
32 

2 

1 
21 

3 

2 

5 
17 

4 
27 
11 
39 

9 
25 
15 
20 

4 
27 

3 

10 

168 

7 

5 
13 
22 
11 

8 

50 

886 

15 

7 

1,717 

96 

11 

5 

8 

1.281 

18 

11 
5 
4 
8 

64 


271 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


OHIO— Continued 

Dalton 

Dayton 

Defiance 

Delaware 

Delhi  Township 

DeJta 

Dennison 

Deshler 

Dublin 

East  Cleveland 

Eastlake 

East  Palestine 

Eaton 

Eltnwood  Place 

Elyria 

Englewood 

Euciid 

Evendale 

Fairborn 

Fairfax 

Fairfield        

Fairfield  Township 

Fairla  wn 

Fairport  Harbor 

Fairview  Park  

Fayette       

Forest  Park 

Fort  Shawnee 

Frankhn 

Fremont 

Fulton , 

Gahanna 

Galion 

Gallipolis 

Garfield  Heights 

Gates  Mills 

Geneva     

Genoa     

Germantown 

German  Township 

Gibsonburg 

Girard , 

Glendale 

Golf  Manor 

Goshen  Township 

Granville 

Greenfield , 

Greenhills 

Greenville  , 

Grove  City 

Hamilton 

Hamler-Marion  Township 

Harrison 

Hartville 

Hicksville 

Hilhard 

Hillsboro 

Hinckley  Township 

Holland      

Howland     

H  ubbard  Township 

Hudson   

Huntmg  Valley 

Huron  

Independence - 

Indian  Hill 

Jackson  Township 

Johnstown  

Kent  

Kettenng  

Kirtland  Hills 

Lakemore 

Lakewood 

Lancaster  

Lawrence  Township 


272 


3 

597 

29 

35 

22 

5 

5 

2 
21 
82 
34 

9 
14 

7 
79 
20 
116 
17 
47 

9 
46 

4 
20 

6 
29 

3 
31 

4 
21 
34 

1 
32 
20 
18 
58 
14 
12 

3 
12 

5 

4 
25 

7 
10 

7 

9 
11 

7 
28 
35 
110 

2 
14 

4 

7 
27 
17 

8 

4 
15 

9 
14 
11 
15 
23 
21 
23 

8 
42 
99 
11 

5 
93 
64 

4 


1 

472 

24 

28 

20 

5 

5 

2 

20 

65 

28 

6 

9 

6 

68 

16 

90 

16 

34 

9 

39 

4 

14 

6 

27 

3 

27 

4 

16 

31 

I 

27 

16 

14 

49 

11 

8 

3 

7 

5 

4 

21 

7 

6 

6 

6 

10 

7 

22 

27 

105 

2 

13 

4 

6 

22 

14 

8 

4 

11 

5 

10 

10 

II 

19 

16 

21 

4 

31 

79 

10 

4 

74 

50 

4 


125 
5 

7 

2 


OHIO — Continued 


Lebanon         -,- 

Leip&ic  

Liberty  Township 

Lima  

Lisbon  

Lockland     

Logan 

Lorain  

Lordstown 

Loudon  ville 

Louisville 

Loveland 

Lyndhurst 

Madeira 

Madison  Township  (Montgomery  County).. 

Madison  Township  (Lake  County) 

Mansfield       

Maple  Heights 

Mariemont 

Marietta 

Marion 

Marlboro  Township 

Marysville 

Mason 

Massillon 

Maumee   

Mayfieid  Village 

Mayfield  Heights 

McConnelsville 

Mentor 

Mentor-on-the-Lake 

Miatnisburg 

Miami  Township 

Middleburg  Heights 

Middlefield  , 

Middletown  

Milford 

Minerva 

Mingo  Junction 

Mogadore 

Montgomery 

Montpelier 

Moraine      

Mount  Sterling 

Munroe  Falls 

Napoleon 

Navarre 

New  Boston 

Newcomerstown 

New  Lebanon 

New  Lexington 

New  Philadelphia 

Newtown 

Niles 

North  Canton 

North  College  Hill 

North  Kingsviile 

North  Olmsted  

North  Ridgeville  

North  Royalton 
Norlhwood 

Norton      

Norwalk 

Norwood 

Oak  Harbor 
Oakwood 

Oakwood  Village 

Oberlin 

Olmsted  Falls 

Ontario    

Oregon  

Orrville  

Ottawa  

Ottawa  Hills  

Oxford 


26 

3 
23 
105 

9 
15 
18 
81 
13 
10 
15 
11 
35 
12 
25 
18 
108 
51 

9 
34 
41 

2 
16 
15 
52 
42 
19 
41 

4 
80 

8 
37 
19 
33 

7 
104 
11 
11 
11 

7 
18 

6 
28 

8 

6 
17 

4 
11 
10 

8 

10 
22 

4 
31 
26 
13 

4 
54 
32 
31 
18 
18 
26 
47 

4 
36 
17 
16 
12 
16 
47 
17 

6 
15 
30 


20 

6 

2 

1 

22 

1 

80 

25 

5 

4 

14 

1 

13 

5 

79 

2 

9 

4 

6 

4 

11 

4 

11 

28 

7 

11 

1 

18 

7 

13 

5 

72 

36 

43 

8 

8 

1 

27 

7 

38 

3 

2 

12 

4 

14 

1 

48 

4 

33 

9 

14 

5 

34 

7 

4 

58 

22 

7 

1 

30 

7 

18 

1 

28 

5 

7 

79 

25 

9 

2 

8 

3 

9 

2 

7 

17 

1 

6 

23 

5 

5 

3 

5 

1 

13 

4 

4 

8 

3 

5 

5 

7 

1 

6 

4 

17 

5 

4 

26 

5 

20 

6 

12 

1 

4 

43 

11 

26 

6 

24 

7 

13 

5 

13 

5 

20 

6 

47 

4 

30 

6 

13 

4 

12 

4 

7 

5 

13 

3 

39 

8 

13 

4 

6 

11 

4 

20 

10 

Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,   1987 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


OHIO— Continued 


Parma 

Parma  Heights 

Perkins  Township 

Perrysburg     

Perry  Township  (Franklin  County) 

Perry  Township  (Stark  County) 

Pierce  Township 

Piqua         

Port  Clinton 

Portsmouth 

Randolph  Township 

Reading 

Reynoldsburg 

Richfield 

Richmond  Heights 

Richwood  

Rittman     

Riverside  

Rossford  

Saint  Bernard 

Saint  Marys 

Salem 

Salineville 

Sandusky    

Sebring      

Seven  Hills 

Seville 

shaker  Heights 

haronville 

iheffield  Lake 

ihelby 

iilverton 

imith  Township , 

iolon 

ioulh  Euclid 

iouth  Russell 

ipencerville 

Jpringboro 

ipringdale 

Jpnngfield 

pringfield  Township 


OHIO— Continued 


iteubenville. 

Stow 

itreetsboro 

itrongsville 

iunbury 

iylvania  

iylvania  Township., 

fallmadge 

Terrace  Park 

riffin 

ripp  City 

Toledo 

Toronto 

Trenton  


Trotwood 

Troy 

Twinsburg 

Jhrichsville 

Jnion  City 

Jniontown 

Jnion  Township  (Butler  County) 

Jnion  Township  (Clermont  County).. 

Jnion  Township  (Licking  County) 

Jniversity  Heights 

Jpper  Arlington 

Jpper  Sandusky 

Jrbana 

/alley  View 

/andatia 

v^ermilion 

iVadsworth 

iVaile  Hill 

iValton  Hills  

»Vapakoneta  


116 
31 
12 
23 
10 
13 
10 
26 
15 
34 
10 
21 
39 
12 
23 

5 
12 

5 

14 
16 
16 
19 

7 
49 

8 
16 

6 
93 
31 
10 
18 
13 

5 
41 
42 

7 

6 
10 
30 
132 
37 
46 
38 
18 
45 

4 
32 
29 
30 

6 

36 

14 

817 

9 
12 
25 
38 
21 

9 

3 

6 
31 
32 

2 
36 
51 

9 
19 
10 
30 
20 
26 

5 
II 
17 


97 
26 

8 
17 

9 
II 

9 
25 
II 
31 
10 
18 
29 

8 
19 

4 

8 

4 
14 
16 
12 
18 

7 
42 

5 
15 

5 
66 
26 

8 
15 
10 

5 
32 
35 

7 

4 

7 
26 
102 
26 
37 
26 
13 
38 

4 
27 
26 
20 

5 

24 

10 

761 

9 

7 
20 
31 
16 

8 

3 

5 
25 
26 

2 
28 
44 

8 
15 
10 
22 
16 
21 

5 

9 
13 


Warren 

Warrensville  Heights 

Warrensville  Township 

Washington  Court  House.. 

Washington  Township 

Waterville 
Wauseon 

Waverly  

Waynesville 

Wellington 

Wellsville 

West  Carrollton 

WesterviUe 

West  JefTerson 

Westlake 

Weston 

Whitehall 

WicklifTe 

Willard 

Willoughby 

Willoughby  Hills 

Wilmington 

Windham 

Woodlawn 

Woodsfield 

Woodville  

Woosler 

Worthington  

Wyoming 

Xenia 

Yellow  Springs 

Youngstown 

Zanesville 


OKLAHOMA 


Ada 

Afton 

Alius 

Alva 

Anadarko 

Antlers 

Apache 

Ardmore 

Arkoma 

Atoka 

Barnsdall 

Bartlesville 

Beggs  

Bethany 

Bixby 

Blackwell 

Blanchard  

Bristow 

Broken  Arrow  . 
Broken  Bow  .... 

Burns  Flat  

Carnegie 

Catoosa 

Chandler 

Checotah 

Chelsea 

Cherokee 

Chickasha 

Choctaw 

Chouteau 

Claremore 

Clayton  

Cleveland 

Clinton         

Coalgale 

Collinsville 
Comanche 
Commerce 


91 

45 

3 

21 

14 

8 

9 

15 

2 

5 

6 

26 

50 

11 

37 

2 

47 

33 

14 

47 

19 

19 

5 

14 

5 

5 

40 

36 

17 

47 

11 

222 

67 


74 

40 

3 

15 

14 

8 

8 

11 

2 

3 

6 

20 

40 

8 

34 

2 

39 

29 

11 

36 

14 

17 

4 

13 

5 

4 

35 

29 

13 

37 

7 

194 

50 


30 
2 

37 
7 

18 
7 
4 

38 
2 

12 
3 

47 
3 

21 

14 

14 
5 

13 

55 

10 
2 
6 
9 
6 
7 
4 
3 

30 

15 
5 

26 
4 
6 

17 
5 
6 
4 
4 


273 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


OKLAHOMA— Continued 

Coweta 

Coyle 

Crescent 

Cushing 

Davis 

Del  City 

Dewey 

Drumright 

Duncan  

Durant 

Edmond  

Elk  City 

Elmore  City 

El  Reno  

Enid 

Brick 

Eufaula 

Fairfax 

Fairview 

Forest  Park 

Fort  Gibson 

Frederick 

Geary 

Glenpool 

Goodwill 

Gore 

Granite 

Grove 

Guthrie 

Guymon 

Harrah 

Hartshorne 

Haskell 

Healdton 

Heavener 

Hennessey 

Henryetta 

Hobart     

Holdenville 

Hollis 

Hominy 

Hugo 

Hulbert 

Idabel 

Inola 

Jay 

Jenks 

Jones 

Kingfisher 

Kingston 

Konawa 

Krebs 

Laveme 

Lawton 

Lindsay  

Locust  Grove 

Lone  Grove 

Luther 

Madill 

Mangum 

Mannford 

Marietta 

Marlow 

Maud 

Maysville 

McAlester 

McLoud 

Meeker 

Miami 

Midwest  City 

Minco 

Moore 

Morris 

Muldrow 

Muskogee 


274 


2 

5 

181 

10 
5 
8 
3 
9 

10 
9 
5 
9 
4 
3 

41 
8 
3 

34 

119 

3 

68 
3 
6 

87 


9 
1 

4 
15 

9 

32 

7 

4 

43 

21 

66 

17 

3 

27 

77 

2 

6 

5 

5 

3 

5 

II 

4 

9 

2 

3 

3 

12 

21 

11 

6 

5 

5 

4 

5 

4 

12 

7 

9 

5 

4 

9 

3 

20 

3 

5 

12 

5 

7 

4 

5 

2 

2 

142 

7 

1 

3 

3 

9 

6 

5 

5 

9 

4 

3 

36 

4 

3 

26 

87 

3 

52 

3 

6 

72 


OKLAHOMA— Continued 

Mustang 

Newcastle   

Newkirk     

Nichols  Hills 

Nicoma  Park 

Noble 

Norman 

Nowata 

Dillon 

Okeene 

Okemah 

Oklahoma  City 

Okmulgee.-.. 

Oologah 

Owasso 

Paoli   

Pauls  Valley 

Pawhuska 

Pawnee 

Perkins 

Perry 

Piedmont 

Pocola 

Ponca  City 

Porum 

Poteau 

Prague 

Pryor 

Purcell 

Quinton 

Ringling    

Roland 

Rush  Springs 

Salina 

Sallisaw    

Sand  Springs 

Sapulpa 

Sayre 

Seminole 

Shattuck 

Shawnee..... 

Shidler 

Skiatook 

Snyder 

Spencer  

Spiro 

Stigler 

Stillwater 

Slilwell 

Stratford 

Stroud 

Sulphur 

Tahlequah 

Talihina 

Tecumseh 

Tishomingo 

Tonkawa 

Tulsa 

Tuttle 

Valliant 

Vian 

Village 

Vinita 

Wagoner 

Walters 

Warner 

Warr  Acres 

Watonga 

Watts    

Waukomis 

Waurika    

Waynoka 

Weatherford 

Weleetka 

Westville 


21 

10 

5 

22 

5 

13 

125 

7 

2 

6 

II 

985 

35 

3 

22 

1 

19 

16 

5 

4 

16 

5 

9 

67 

2 

19 

8 

24 

23 

4 

4 

6 

4 

3 

14 

38 

42 

7 

18 

5 

58 

1 

13 

2 

11 

5 

9 

67 

14 

4 

12 

13 

31 

7 

13 

13 

II 

839 

8 

7 

5 

27 

19 

16 

4 

2 

25 

12 

1 

2 

5 

6 

21 

4 


14 

7 

6 

4 

5 

17 

5 

5 

9 

4 

96 

29 

6 

1 

2 

2 

4 

7 

4 

767 

218 

29 

6 

2 

1 

16 

1 

6 

13 

6 

10 

6 

5 

4 

11 

5 

3 

2 

5 

4 

55 

12 

2 

15 

4 

6 

2 

23 

1 

16 

7 

4 

3 

1 

3 

3 

4 

2 

1 

11 

3 

28 

10 

34 

8 

4 

3 

13 

5 

2 

3 

42 
1 

16 

9 

4 

2 

7 

4 

5 

5 

4 

49 

18 

10 

4 

4 

8 

4 

8 

5 

25 

6 

4 

3 

9 

4 

8 

5 

7 

4 

678 

161 

5 

3 

5 

2 

5 

20 

7 

12 

7 

12 

4 

4 

? 

18 

7 

9 

1 

3 

7 

2 

3 

2 

4 

14 

7 

4 

5 

3 

Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,   1987 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

einployees 


Total 
officers 


Total 
civilians 


OKLAHOMA— Continued 


OREGON 


44 

3 

I 

30 

22 

2 

4 

I 

14 

7 

52 

40 

4 

12 

q 

I 

17 

5 

3 

1 

17 

6 

3 

32 

11 

10 

67 

20 

1 

15 

2 

6 

5 

4 

224 

12 

22 

2 

I 

2 

I 

19 

5 

I 

35 

94 

3 

21 

44 

2 

10 
9 
2 
2 
8 

10 
16 
2 
36 
24 
59 


33 
3 
1 

21 

15 
2 
3 
I 

II 
6 

50 

32 
4 
7 
5 
I 

12 
4 
2 
I 

12 
5 
2 

23 
7 
9 

40 

14 
1 

13 
2 
5 
4 
4 
141 
7 

17 
2 

1 

2 

I 

12 

5 

1 

27 

71 

3 

15 

38 

2 


23 


OREGON— Continued 

Lakeview 

Lebanon 

Lincoln  City         

Madras 

Malin 

McMinnville 

Medford 

Merrill 

Milton-Freewater 

Milwaukie 

Molalla 

Monmouth 

Monroe  

Mount  Angel 

Myrtle  Creek 

Myrtle  Point 

Newport 

North  Bend 

North  Plains 

Nyssa  

Oakland  

Oakridge 

Ontario 

Oregon  City 

Pendleton 

Philomath 

Phoenix 

Pilot  Rock 

Portland 

Powers 

Prairie  City 

Prineville 

Rainier 

Redmond 

Reedsport 

Rockaway 

Rogue  River 

Roseburg 

Saint  Helens 

Salem     ; 

Sandy 

Scappoose 

Seaside 

Shady  Cove 

Sheridan 

Sherwood 

Silverton 

Sisters  

Springfield 

Stanfield 

Stay ton 

Sutherlin    

Sweet  Home 

Talent  

The  Dalles 

Tigard  

Tillamook 

Toledo     

Troutdale 

Tualatm       

Turner 

Umatilla 

Umatilla  Tribal 

Union    

Vale     

Vernonia 

Waldpori 

Warrenton 

West  Linn  

Wiltamina  

Winston      

Woodburn  

Yamhill 


5 

22 

22 

6 

I 

25 

95 

2 

12 

33 

8 

10 

1 

4 

13 

10 

20 

19 

1 

10 

2 

10 

24 

30 

31 

7 

5 

2 

975 

3 

2 

16 

6 

19 

17 

3 

4 

41 

20 

204 

9 

7 

20 

2 

3 

5 

10 

5 

80 

3 

17 

11 

16 

4 

18 

41 

9 

11 

10 

14 

2 

7 

13 

2 

4 

4 

3 

8 

21 

2 

12 

34 

1 


5 

16 
17 

5 

1 

20 

67 

2 

7 

23 

8 

9 

1 

4 

8 

6 

17 

15 

1 

6 

2 

5 

16 

24 

22 

6 

4 

2 

769 

3 

2 

10 

5 

15 

12 

3 

4 

31 

15 

133 

8 

5 

15 

2 

3 

5 

9 

4 

52 

3 

9 

7 

11 

4 

16 

31 

8 

6 

9 

13 

2 

6 

8 

2 

4 

4 

3 

4 

18 

2 

7 

21 


275 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


PENNSYLVANIA 

Abington  Township 

Adams  Township 

Akron 

Albion 

Alburtis 

Aleppo  Township 

Aldan 

Aliquippa 

Allegheny  Township  (Blair  County) . 
Allegheny  Township  (Westmoreland  County)  . 

Allentown 

Altoona 

Ambler    

Ambridge 

Amity  Township 

Annville  Township 

Apollo 

Archbald 

Armagh  Township 

Arnold 

Ashland 

Ashley 

Aspinwall '. 

Aston  Township 

Athens 

Athens  Township 

Aubum 

Avalon 

Avis 


Avoca 

Baden 

Baldwin  Borough 

Baldwin  Township 

Bally 

Bangor 

Bamesboro 

Barrett  Township 

Bath 

Beaver 

Beaver  Falls 

Bedford 

Bedminster  Township... 

Belle  Acres 

Bellefonte 

Belle  Vernon 

Bellevue 

Bellwood 

Ben  Avon 

Bensalem  Township 

Bentleyville 

Benton 

Benzinger  Township 

Berlin 

Bern  Township 

Berwick 

Bessemer 

Bethel  Park 

Bethel  Township 

Bethlehem 

Bethlehem  Township.... 

Big  Beaver 

Birdsboro  

Birmingham  Township . 

Blair  Township 

Blairsville 

Blakely 

Blawnox 

Bloomsburg 

Blossburg 

Boyertown 

Bracken  ridge 

Braddock  

Braddock  Hills 

Bradford 

Bradford  Township 


100 
3 
2 
2 
2 
2 
3 

17 

4 

4 

181 

94 

14 

13 
5 
3 
3 
5 
1 

15 
7 
2 
6 

16 
5 
5 
1 
9 
1 
3 
4 

28 
5 
1 
5 
2 
3 
3 
8 

17 
7 
4 
1 

12 
1 

16 
1 
4 

88 
2 
1 
8 
1 
6 

16 
1 

40 

1 

149 

16 
3 
5 
2 
2 
5 
6 
4 

15 
3 
7 
5 
6 
4 

21 
3 


85 
3 
2 
2 
2 
2 
3 

17 

4 

4 

163 

73 

13 

13 
5 
3 
2 
5 
1 

II 
7 
2 
5 

14 
5 
5 
1 
8 
1 
3 
4 

22 
5 
1 
5 
2 
3 
3 
8 

17 
6 
4 
I 
9 
I 

13 
1 
4 

75 
2 
1 
7 
1 
6 

11 
1 

32 

1 

124 

16 
3 
5 
2 
2 
5 
6 
4 

12 
3 
6 
5 
3 
4 

21 
3 


25 


PENNSYLVANIA— Continued 


Brentwood   

Briar  Creek  Township 

Bridgeport     

Bridgeville    

Bridgewater j 

Brighton  Township 

Bristol  

Bristol  Township , 

Brockway 

Brookhaven , 

Brook ville   

Brownsville , 

Bryn  Athyn 

Buckingham  Township , 

Burgettstown , 

Burnham  , 

Bushkill  Township 

Butler 

Butler  Township  (Ashland  County) 

Butler  Township  (Butler  County) 

Butler  Township  (Luzerne  County) 

Caernarvon  Township  (Berks  County) 
Caernarvon  Township  (Lancaster  County) 

California  

Cain  Township     

Cambria  Township 

Cambridge  Springs 

Camp  Hill   

Canonsburg 

Canton 

Carbondale 

Carlisle 

Carnegie  

Carroll  Township  (Washington  County) 

Carroll  Township  (York  County) 

Carrolltown 

Castle  Shannon 

Catasauqua 

Catawissa  

Catawissa  Township 

Cecil  Township  

Center  Township 

Centervilie 

Central  City 

Centralia 

Chalfont 

Chambersburg 

Charleroi 

Chartiers  Township 

Cheltenham  Township 

Chester         

Chester  Hill 

Chester  Township 

Cheswick 

Chippewa  Township 

Churchill , 

Clarion , 

Clark 

Clarks  Summit 

Clearfield 

Cleona 

Clifton  Heights 

Clinton  Township , 

Coaldale 

Coalpori , 

Coal  Township    

Coatesville , 

Cochranton 

Colebrookdale  Township 

Collegeville , 

Collier  Township 

Collingdale  

Columbia  

Colwyn  

Conemaugh  Township 


17 
2 

17 

10 
2 
4 

14 

79 
2 
6 
7 

12 
5 

10 
1 
6 
3 

25 
4 

21 
2 
3 
1 
8 

11 
1 
2 
7 

15 
2 

14 

30 

17 
4 
5 
1 

11 
9 
3 
3 
9 
9 
4 
1 
1 
3 

27 

10 
4 

89 
102 
1 
7 
3 
6 

10 
8 
1 
6 
7 
2 

11 
1 
2 
1 

16 

20 
I 
5 
4 
9 
9 

16 
4 
4 


13 
2 

16 
9 
2 
4 

13 

62 
2 
6 
6 
7 
5 
9 
1 
2 
3 

24 
4 

17 
2 
3 
1 
7 

10 
1 
2 
7 

13 
2 

14 

28 

12 
4 
5 
1 

U 
8 
3 
3 
9 
9 
4 
1 
1 
2 

24 
9 
4 

80 

86 
1 
7 
3 
5 

10 
7 
1 
6 
7 
2 

10 
1 

2 
1 

12 

15 
1 
5 
4 
9 
8 

11 
3 
4 


276 


'able  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


Total 

police 

employees 


Total 
ofTicers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


PENNSYLVANIA— Continued 


^onewago  Township 

'onewango  Township 

Tonnellsville 

'onoy  Township 

'onshohocken 

i^onway       

Tonyngham 

Zonyngham  Township 

!^oolbaugh  Township 

^oopersburg 

^oplay 

Toraopolis 

Cornwall 

;orry 

^oudersport 

rafton 

ranberf7  Township 

rescent  Township 

Bresson 

>cssona 

Tresson  Township 

^royle  Township 

lumberland  Township  (Adams  County) 

Cumberland  Township  (Green  County) 

Cumru  Township 

^urwensville 

>allas 

>anas  Township 

)alton 

>anville 

)arby 

•arby  Township 

iaugherty  Township 

•enver 

Jerry 

)erry  Township  (Dauphin  County) 

>erry  Township  (Mifflin  County) 

>ickson  City 

>illsburg 

Donegal  Township 

ionora 

tormont 

Douglass  Township  (Berks  County) 

Douglass  Township  (Montgomery  County)  ■ 

•owningtown 

•oylestown 

•oylestown  Township 

lu  Bois 

tuboistown 

Dunbar 

)uncannon  

iuncansville 

*unmore 

lupont  

luquesne  

luryea 

ast  Berlin   

^st  Bethlehem  Township 

ast  Brandywine  Township 

ast  Buffalo  Township 

asl  Cocalico  Township 

^st  Conemaugh 

^st  Deer  Township 

ast  Earl  Township 

-ast  Franklm  Township 

^st  Hempfield  Township 

ast  Lampeter  Township 

^t  Lansdowne 

last  Norriton  Township 

laston 

last  Pennsboro  Township 

ast  Pikeland  Township 

-ast  Rockhill  Township 

last  Stroudsburg 

last  Taylor  Township 


PENNSYLVANIA— Continued 

Easttown  Township 

East  Washington    

East  Whiteland  Township 

Ebensburg  

Economy 

Eddystone 

Edgewood  

Edgeworth 

Edinboro 

Edwardsville 

Elizabeth 

Elizabethtown 

Elizabeth  Township 

Elkland 

Ellwood  City 

Emmaus 

Emporium 

Emsworth 

Ephrata 

Ephrata  Township 

Erie  

Etna 

Everett 

Exeter    

Exeter  Township  (Berks  County) 

Exeter  Township  (Luzerne  County) 

Fairchance 

Fairview 

Fairview  Township 

Fallowfield  Township 

Falls  Creek 

Falls  Township 

Farrell 

Fawn  Township 

Fell  Township 

Ferguson  Township 

Ferndale 

Findlay  Township 

Fleetwood 

Folcroft 

Ford  City 

Forest  City 

Forest  Hills 

Forks  Township 

Forty  Fort    

Forward  Township 

Foster  Township 

Fountain  Hill 

Fox  Chapel 

Frackville 

Franconia  Township 

Franklin  Borough 

Franklin 

Franklin  Township 

Freedom-Greenfield  Township 

Freeland  

Freemansburg 

Freeport 

Galeton 

Gallitzin 

Gallitzin  Township 

Geistown 

German  Township 

Gettysburg 

Girard 

Glassport  

Glenolden     

Granville  Township 

Greencastle    

Greensburg 

Green  Tree 

Greenville 

Grove  City 

Hallstead  

Hamburg    


14 
2 

13 
5 
6 
4 
9 
4 
8 
7 
1 

13 

13 
2 

19 

16 
3 
5 

18 

4 

221 

10 
1 
4 

13 
2 
4 
1 

13 
3 
1 

54 

16 
5 
2 

10 
3 

II 
6 

10 
4 
2 

13 


13 
2 

11 
5 

6 

3 

7 

4 

7 

7 

1 

11 

12 

2 

15 

11 

3 

3 

16 

4 

193 

7 

1 

2 

14 

2 

1 

1 

12 

3 

1 

42 

13 

3 

2 

9 

3 

7 

6 

9 

4 

2 

9 

8 

7 

4 

4 

6 

11 

6 

6 

1 

17 

3 

2 

4 

2 

2 

1 

2 

1 

3 

1 

13 

4 

7 

7 

5 

3 

29 

10 

U 

9 

2 

7 


277 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
ofTicers 


PENNSYLVANIA— Continued 


Hampden  Township      

Hampton  Township         

Hanover    

Hanover  Township  

Harmar  Township 

Harmony  Township  

Harrisburg 

Harrison  Township  

Harveys  Lake  

Hastings  

Hatboro  

Hatfield  Township 

Haverford  Township 

Hazleton 

Hegins  Township 

Heidelberg 

Heidelberg  Township  (Berks  County) 

Heidelburg  Township  (Lebanon  County).. 

Hellam  Township 

Hellertown  

Hempfield  Township 

Hermitage 

Highspire  

Hilllown  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  ... 

Jamestown  

Jeannette  

Jefferson 

Jefferson  Township  (Berks  County) 

Jefferson  Township  (Mercer  County) 

Jenkins  Township  

Jenkintown 

Jenner  Township 

Jermyn 

Jersey  Shore 

Jessup i 

Jim  Thorpe       

Johnsonburg      

Johnstown 

Kane    

Kennedy  Township 

Kennett  Square 

Kidder  Township 

Kilbuck  Township    . 

Kingston 

Kingston  Township 

Kittanning 

Kline  Township 
Kulpmont 

Kutztown 

Lake  City 

Lake  Township 

Lancaster 

Lansdale  

Lansdowne 

Lansford 

Larksville 

Latrobe 


19 

16 

18 

12 

4 

4 

197 

17 

2 

I 

16 

28 

75 

25 

2 

2 

I 
4 

10 
5 

29 
5 

14 

10 
2 
9 
6 
1 
9 

39 
2 
4 
6 

12 
I 

28 
7 
1 
6 
5 
7 
1 

17 

12 


3 

13 

2 

2 

6 

3 

6 

4 

52 

6 

10 

10 

6 

3 

22 

7 

8 

2 

4 

8 

3 

2 

124 

26 

20 

4 

4 

13 


19 

15 

16 

12 

4 

4 

158 

13 

2 

1 

12 

20 

62 

23 

2 

2 

1 

I 

4 

9 

4 

24 

5 

12 

6 

2 

8 

6 

1 

9 

34 

2 

4 

6 

11 

1 

20 

7 

1 

6 

5 

7 

1 

16 

11 

2 

2 

3 

12 

2 

2 

6 

3 

5 

4 

44 

6 

10 

9 

6 

3 

21 

7 

8 

2 

4 

7 

3 

1 

113 

20 

16 

4 

4 

11 


PENNSYLVANIA— Continued 

Laureldale 

Lawrence  Park  Township 

Lawrence  Township 

Lebanon     

Leechburg 

Leetsdale 

Leet  Township   

Lehighton 

Lehigh  Township 

Lehman  Township 

Lemoyne  

Lewisburg 

Lewistown 

Ligonier 

Ligonier  Township 

Lilly ., 

Limerick  Township 

Linesvitle 

Lititz 

Littleslown 

Lock  Haven 

Logan  Township 

Loretto 

Lower  Allen  Township 

Lower  Alsace  Township 

Lower  Burrell    

Lower  Chichester  Township 

Lower  Gwynedd  Township    

Lower  Makefield  Township 
Lower  Menon  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 

Lower  Swatara  Township   

Lower  Yoder  Township 

Luzerne 

Luzerne  Township 

Lykens 

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 

Meadvilie  .  .  

Mechanicsburg 
Mechanicsville 

Media 

Menallen  Township 

Mercer 

Mercersburg 


3 
6 
8 

45 
3 
4 
4 
9 
6 
2 
6 
8 

21 
2 
2 
1 
6 
2 

10 
5 

13 

18 
1 

19 
6 

13 
4 

1 

26 
162 

28 
1 

47 
8 

27 

11 

13 
29 
10 
2 
3 
1 
2 

6 
3 
5 
7 
5 

48 

13 
3 
6 
3 
5 

38 
2 
1 
3 

10 
2 
1 
2 

28 
2 
3 

52 

13 
3 

26 

14 
1 

20 
1 
3 
2 


3 
5 
8 

39 
3 
4 
4 
7 
6 
2 
6 
7 

15 
2 
2 
1 
5 
2 
8 
5 

12 

13 
1 

18 
6 

13 
4 

15 

23 
132 

21 
1 

41 
7 

24 

10 
9 

26 
9 
2 
3 


5 
3 
5 
6 
5 

36 

12 
3 
5 
2 
4 

30 
2 
I 
3 

10 
2 
1 
2 

23 
2 
3 

50 

10 
3 

23 

13 
1 

13 
1 
3 
2 


278 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


Total 

police 

employees 


Total 
oRlcei^ 


Total 
civilians 


City 


Total 

police 

employees 


Total 
otTicers 


Total 
civilians 


PENNSYLVANIA— Continued 

Meyersdale  

Middleburg 

Middlesex  Township  (Butler  County) 
Middlesex  Township  (Cumberland  County) 
Middletown 

Middletown  Township 

Midland  

Mifflin  

MitTlinburg  

MifTlintown  

Milford  

Millbourne 

Millcreek  Township 

Millersburg  

Vlillersvilie  

Millvale 

Vlillville 

Vlilton 

Vlinersville  

Viohnton  

vionaca  

vlonessen  

vlonongahela 


PENNSYLVANIA— Continued 


vionroeville 

vlontgomery 

vlontgomery  Township 

*1ontoursville 

•lontour  Township 

tlontrose 

•loon  Township 
4oore  Township 
4oosic 
4orrlsville 

/lorton 

Moscow 

lountainlop  Regional 

'-lount  Carmel 

Aount  Carmel  Township 

iount  Holly  Springs 

iount  Jewelt 

'lount  Joy 

lounl  Joy  Township 
lount  Lebanon 
>lount  Oliver 
'lount  Penn 
-lount  Pleasant 
-tount  Pocono 

lount  Union 

iuhlenberg  Township. 

luncy 

lunhall 

lurrysville 

iyerstown 

Janticoke 

Janly  Glo 

larberth 

Jazareth     

Jescopeck  

Jeshannock  Township 

lesquehoning 

lether  Providence  Township 

Jeville  Township 

lewberry  Township 

Jew  Brighton 

Jew  Britain 

Jew  Britain  Township 

Jew  Castle 

Jew  Castle  Township 

Jew   Cumberland 

Jew  Eagle  

Jew  Freedom 

Jew  Hanover  Township 

Jew  Holland 

Jew  Hope 

Jew   Kensington 


New  Oxford  , 

Newport  , 

Newport  Township 

New  Sewickley  Township 

Newton  Township , 

Newtown        

Newtown  Township 

Newville        

New  Wilmington 

Nornstown 

Northampton 

Northampton  Township 
North  Belle  Vernon 

North  Braddock  

North  Catasaqua    

North  Centre  Township 

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  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       

Orange  Township 

Orwigsburg 

Osceola  Mills 

Oxford   

Palmerton 

Palmer  Township 

Palmyra 

Parkside 

Patterson 

Patton 

Patton  Township  

Paxtang  

Pen  Argyl  

Penbrook    

Penn  Hills 

Penn  Township  (Butler  County) 

Penn  Township  (Lancaster  County) 

Penn  Township  (Westmoreland  County) . 

Penn  Township  (York  County) 

Pequea  Township 

Perkasie         

Perryopolis 

Peters  Township 

Philadelphia 

Philipsburg  

Phoenixville 

Pine  Creek  Township 

Pine  Grove 

Pine  Township 

Pitcairn 


2 
2 
4 
5 
1 

17 

15 
2 
3 

74 

16 

38 
1 
6 
4 
2 
1 
3 
7 
8 

11 
5 

29 

12 
8 

22 
8 
5 
4 
7 
5 

11 
3 
1 
7 
1 

10 

12 
2 
2 

21 
8 
7 
1 
6 
1 
4 
1 
7 
8 

21 
7 
2 
4 
2 
9 
3 
2 
5 

63 
3 
4 

13 

14 
2 
9 
1 

22 

7.566 

1 

25 
1 
2 
9 
4 


2 

4 

5 

1 

15 

14 

2 

3 

67 

12 

32 

1 

6 

4 

2 

1 

3 

6 

7 

5 

4 

26 

11 

7 

17 

7 

5 

4 

7 

4 

11 

3 

1 

6 

7 

12 
2 
2 

19 
7 
6 
1 
6 
1 
4 
1 
6 
7 

17 
6 
2 
4 
2 
8 
3 
2 
5 

55 
2 
4 

12 

14 
2 
8 
1 

17 

6.698 

1 

19 
1 
2 
9 
4 


279 


Table  72.  —  Number  of  Full-time  I^w  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


PENNSYLVANIA— Continued 

Pittsburgh 

Pittston 

Plainfield  Township 

Plains  Township 

Pleasant  Hills 

Plum  

Plumsiead  Township 

Plymouth 

Plymouth  Township 

Pocono  Township 

Point  Marion 

Point  Township 

Portage     

Port  Allegany    

Port  Carbon 

Port  Vue 

Pottstown 

Pottsville 

Prospect  Park 

Punxsutawney 

Pymatuning  Township 

Quakertown       

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 

Saint  Clair 

Saint  Marys 

Salisbury  Township 

Saltsburg  

Sandy  Lake 

Sandy  Township 

Saxonburg 

Saxton 

Sayre 

Schuylkill  Haven  

Schuylkill  Township 

Scottdale  

Scott  Township  (Allegheny  County) 

Scott  Township  (Columbia  County) 

Scott  Township  (Lackawanna  County) 

Scranton 

Selinsgrove 

Sellersville 

Seven  Springs  

Sewickley  

Shaler  Township 

Shamokin 


1,151 
13 
3 

10 

18 

21 

4 

10 

32 

8 

2 

4 

2 

2 

3 

4 

46 

29 

8 

16 
7 

14 

1 

59 

3 

2 

190 

5 

2 

4 

2 

1 

10 

21 

6 

7 

39 

2 

I 

2 

1 

2 

22 

8 

I 

4 

2 

44 

10 

7 

I 

2 

2 

5 

8 

II 

I 

I 

6 

1 

1 

8 

11 

6 

7 

29 

3 

2 

161 

6 

4 

2 

12 

36 

17 


1.063 
9 
3 

10 

14 

17 
4 
6 

27 
8 
2 
4 
2 
2 
3 
4 

39 

26 
8 

10 
7 

12 
1 

50 
3 
1 
164 
5 
2 
4 
2 
1 
9 

16 
6 
7 

30 
2 
1 
2 
1 
2 

17 
7 
I 

4 
2 

37 
9 
6 
1 
2 
2 
5 
7 

10 
1 
1 
5 
I 
1 
7 
7 
5 
7 

25 
3 
2 
153 
5 
4 
2 
8 

28 

13 


PENNSYLVANIA— Continued 


Shamokin  Dam 

Sharon  

Sharon  Hill 

Sharpsburg  

Sharpsville   

Sheffield  Township 

Shenandoah 

Shenango  Township  (Lawrence  County) 

Shenango  Township  (Mercer  County) 

Shickshmny 

Shillington 

Shinglehouse 

Shippensburg 

Shiremanstown 

Shrewsbury    

Silver  Spring  Township 

Sinking  Spring 

Slatington  

Slippery  Rock 

Smithfield     

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  Williamspori 

Spangler       

Spnng  City 

Springdale 

Spnngettsbury  Township 

Springfield  Township  (Bucks  County) 

Springfield  Township  (Delaware  County) 

Springfield  Township  (Montgomery  County) 

Spring  Garden  Township         

Spring  Township  (Berks  County) 

Spring  Township  (Centre  County) 

State  College 

Steelton      

Stoneboro         

Stoneycreek  Township 

Stowe  Township 

Stroudsburg  

Stroud  Township    

Sugarcreek  

Sugarloaf  Township 

Summerhill  Township 

Summit  Hill 

Sunbury     

Susquehanna  

Susquehanna  Township  (Cambria  County) 
Susquehanna  Township  (Dauphin  County) 

Swart  hmore 

Swatara  Township 

Swissvale 

Swoyersville 

Sykesville 

Tamaqua     

Tarentum    

Taylor 

Telford 


2 

28 

10 

7 

6 

2 

13 

2 

4 

2 

6 

I 

9 

2 

3 

7 

3 

5 

5 

2 

3 

3 

8 

7 

4 

9 

1 

2 

2 

11 

1 

2 

6 

2 

2 

15 

8 

2 

2 

30 

5 

1 

2 

3 

24 

3 

38 

31 

15 

14 

2 

63 

8 

1 

3 

10 
17 
13 
4 
2 
I 
3 

18 

1 

1 

27 

8 

29 

18 

5 

1 

14 

12 

6 

6 


2 
23 
9 
7 
5 
2 
10 
2 
3 
2 
6 
1 
9 
2 
3 
7 
3 
5 
5 
2 
2 
3 
7 
6 
3 
8 
I 
2 
1 
II 
I 
2 
6 
2 
2 

14 

8 

2 

2 

26 

5 

1 

2 

3 

22 

3 

33 

30 

14 

14 

2 

49 

7 

I 

3 

10 
13 
12 
4 
2 
1 
3 

12 

I 

1 

24 

8 

27 

13 

3 

1 

11 

7 

6 

5 


280 


rable  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


PENNSYLVANIA— Continued 


Temple 

Feire  Hill 

rhombury  Township 

rhroop 

ridioute 

rinicum  Township  (Bucks  County) 

rinicum  Township  (Delaware  County) 

ritusville 

fobyhanna  Township 

Topton 

Towamencin  Township 

rrafford 

Trainer 

Tredyfrrin  Township 

Troy 

Tullytown 

funkhannock 

Punkhannock  Township 

Turtle  Creek 

Tyrone 

Jnion  City 

Jniontown 

Jnion  Township  (Mifflin  County) 

Jnion  Township  (Washington  County).. 

Jpper  Allen  Township 

Jppcr  Chichester  Township 

Jpper  Darby  Township 

Jpper  Dublin  Township 

Jpper  Gwynedd  Township 

Jpper  Makefield  Township...... 

Jpper  Merion  Township 

Jpper  Moreland  Township 

Jpper  Mount  Bethel  Township 

pper  Nazareth  Township 

pper  Perkiomen 

pper  Pottsgrove  Township 

'pper  Providence  Township  (Delaware  County).. 

Jpper  Providence  Township  (Montgomery 

County)     

'pper  Saint  Clair  Township 

pper  Saucon  Township 

'pper  Southhampton  Township 

pper  Uwchlan  Township 

pper  Yoder  Township 

'wchlan  Township 

alley  Township 

andergrift  

anport  Township 

erona  

ersailles   

/alnutport 

/arminster  Township 

/arren         

Harrington  Township 

v'arwick  Township  (Bucks  County) 

/arwick  Township  (Lancaster  County) 

Washington 

/ashinglon  Township  (Fayette  County) 

/ashington  Township  (Franklin  County) 

/ashington  Township  (Northampton  County) 

t'atsontown 

v'aynesboro 

Waynesburg 

t'eatherly 

*'ellsboro 

v'esleyville 

i'est  Brandywine  Township 

n'est  Chester 

Vest  Conshohocken 

Vtit  Deer  Township 

k'est  Donegal  Township 

Vest  Earl  Township 

Vest  Elizabeth 

Vest  Fairview 

Vestfall  Township 


2 
2 
2 
3 
1 

4 
10 
12 
7 
5 
16 
1 

4 
54 
2 
6 
5 
1 
9 
4 
7 
35 
2 
5 

10 

19 

141 

36 

16 

8 

66 

44 

5 

2 

6 

2 

10 

9 
31 
II 
24 
2 
5 

15 
2 
8 
2 
4 
2 
4 
47 
28 
12 
8 

10 
27 
1 
7 
2 
5 

17 
7 
2 
5 
4 
6 
44 
3 
5 
2 
2 
1 
2 
1 


2 
2 
2 
3 
1 

4 
9 

12 
7 
5 

14 
1 
4 

46 
2 
5 
5 
1 
8 
4 
3 

25 
2 
5 
9 

17 
111 

35 

15 
8 

51 

35 
5 
2 
5 
2 

10 


PENNSYLVANIA— Continued 

Westfield 

West  Goshen  Township 

West  Grove 

West  Hazleton 

West  Hempfield  Township 

West  Hills  Regional 

West  Homestead 

West  Lampeter  Township 

West  Lawn  

West  Manchester  Township 

West  Manheim  Township 

West  Middlesex 

West  Mifflin 

West  Newton 

West  Norriton  Township 

West  Pittston 

West  Pottsgrove  Township 

West  Reading 

West  Rockhill  Township 

Westtown  Township 

West  View 

West  Whiteland  Township 

West  Wyoming 

West  York 

Wheatland 

Whitaker 

Whitehall 

Whitehall  Township 

White  Haven •. 

Whitemarsh  Township 

White  Oak 

Whitpain  Township 

Wiconisco  Township 

Wilkes-Barre 

Wilkes-Barre  Township 

Wilkins  Township 

Williamsburg 

Williamsport 

Williamstown 

Willistown  Township 

Wilson 

Windber 

Wind  Gap 

Windsor  Township 

Womelsdorf 

Wormleysburg 

Wrightsville 

Wrighttown  Township 

Wyoming 

Wyomissing 

Yardley 

Yeadon 

York 

York  Springs  -  Latimore 

York  Township 

Youngsville 

Zelienople   

RHODE  ISLAND 

Barrington 

Bristol 

Burrillville 

Central  Falls 

Charlestown 

Coventry 

Cranston 

Cumberland 

East  Greenwich 

East  Providence 

Foster 

Glocester 

Hopkinlon 

Jamestown 


2 
22 
2 
6 
11 
7 
10 
4 
2 

20 

3 

I 

30 

2 

22 

12 

6 

7 

4 

II 

1) 

13 

4 

6 

1 

1 

23 

42 

1 

30 

10 

23 

1 

107 

14 

12 

1 

52 

1 

13 
7 
2 
3 
8 
3 
6 
2 
3 
5 
18 
6 
16 
103 
2 
22 
2 
7 


2 

19 

2 

6 

10 

7 

6 

4 

2 

18 

3 

1 

25 

2 

20 

6 

6 

7 

4 

10 

8 

12 

4 

6 

1 

1 

18 

32 

1 

27 

10 

20 

1 

90 

10 

11 

1 

49 

1 

12 

7 

2 

3 

7 

2 

4 

2 

2 

4 

14 

6 

15 

90 

2 

21 

2 

7 


31 

24 

34 

26 

23 

18 

41 

38 

16 

12 

S8 

45 

173 

144 

47 

42 

33 

25 

116 

94 

10 

7 

11 

8 

13 

9 

13 

11 

281 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


RHODE  ISLAND— Continued 

Johnston     

Lmcoln  

Little  Compton 

Middletown 

Narragansett 

Newport      

New  Shoreham    

Nonh  Kingstown 

North  Providence 

North  Smithfield 

Pawtucket    

Portsmouth 

Providence 

Scituate 

Smithfield 

South  Kingstown 

Tiverton     

Warren 

Warwick 

Westerly 

West  Greenwich 

West  Warwick 

Woonsocket 

SOUTH  CAROLINA 

Abbeville 

Aiken 

Allendale 

Andrews 

Atlantic  Beach 

Ay  nor        

Bamberg     

Barnwell     

Batesburg  

Beaufort 

Helton 

Bennettsville 

Bethune 

Bishopville     

Blacksburg  

Blackville       

Bowman     

Calhoun  Falls 

Camden 

Cayce 

Central  City 

Charleston  

Cheraw 

Chesnee 

Chester 

Chesterfield  

Clemson      

Clinton 

Clover 

Columbia 

Conway 

Coupens    

Darlington 

Denmark    

Dillon 

Easley 

Edgefield     

Edisto  Beach 

EUoree 

Estill 

Eutawville 

Fairfax        

Florence  

Folly  Beach 

Forest  Acres 

Fort  Mill 

Fountain  Inn 

GafTney  


SOUTH  CAROLINA— Continued 


65 
33 
8 
36 
35 

103 

3 

51 

63 

19 

174 
29 

502 
18 
37 
55 
27 
23 

205 

43 

8 

50 

110 


18 
83 
10 
14 
2 
3 

10 

11 

13 

40 

19 

26 

3 

15 

9 

7 

1 

6 

27 

39 

3 

333 

25 

5 

20 

6 

25 

27 

10 

273 

38 

4 

29 

10 

18 

25 

8 

3 

4 

9 

6 

5 

85 

13 

28 

15 

16 

28 


49 
30 

7 
34 
29 
81 
3 
41 
48 
15 

147 
28 

423 
14 
30 
40 
19 
20 

163 

38 

4 

44 

100 


14 
67 
6 
10 
1 
2 
7 

10 

9 

30 

14 

20 

3 

II 

5 

7 

1 

6 

27 

32 

3 

240 

20 

5 

18 

5 

20 

25 

10 

199 

29 

4 

20 

8 

14 

21 

5 

3 

4 

4 

3 

5 

69 

8 

21 

10 

II 

20 


Gaston         

Georgetown 

Goose  Creek 

Gray  Court 

Great  Falls 

Greenville 

Greenwood 

Greer         

Hampton  

Hanahan      

Hardeeville  

Hartsville     

Heath  Springs 

Hemingway 

Holly  Hill     

Honea  Path 

Inman   

Irmo  

Isle  of  Palms 

Iva  

Jackson  

Johnsonville 

Johnston    

Jonesville 

Kershaw 

Kingstree 

Lake  City  

Lakeview      

Lamar 

Lancaster 

Landrum 

Latta  

Laurens 

Leesville    

Lexington 

Liberty 

Loris 

Lyman 

Manning 

Marion.... 

Mauldin 

McBee 

McColl       

McCormick 

Moncks  Comer 

Mount  Pleasant 

MuUins    

Myrtle  Beach 

Newberry     

Ninety  Six   

North  Augusta 

North  Charleston   

North  Myrtle  Beach.. 

Orangeburg  

Pacolet    

Pacolet  Mills 

Pageland 

Pendelton 

Pickens 

Port  Royal 

Prosperity   

Ridgeland 

Ridge  Springs 

Ridgeway       

Rock  Hill     

Saint  George 

Saint  Matthews 

Saint  Stephens 

Salem 

Saluda      

Santee  

Seneca       

Simpsonville 
South  Congaree 
Spartanburg 


2 

39 

31 

1 

7 

193 

50 

37 

7 

24 

II 

35 

1 

7 

6 

14 

5 

14 

19 

5 

3 

8 

7 

4 

g 

19 

23 

5 

3 

39 

7 

11 

22 

5 

8 

10 

1 

3 

15 

23 

27 

2 

8 

11 

16 

57 

21 

102 

24 

10 

46 

167 

64 

43 

2 

1 

11 

5 

10 

14 

2 

7 

3 

2 

90 

6 

5 

8 

I 

7 

3 

23 

22 

3 

119 


1 

31 

22 

I 

6 

163 

40 

31 

6 

17 

7 

27 

1 

5 

3 

10 

5 

13 

13 

4 

3 

4 

7 

4 

4 

14 

17 

3 

3 

34 

7 

6 

21 

5 

g 

5 

11 

3 

14 

17 

21 

1 

5 

7 

12 

43 

14 

98 

20 

6 

3g 

118 

46 

33 

2 

1 

8 

5 

9 

12 

2 

6 

3 

2 

71 

6 

5 

4 

I 

7 

2 

22 

16 

3 

100 


282 


Fable  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


Cily 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


SOUTH  CAROLINA— Continued 


Spnngdale 
Sullivans  Island 

Summerton    

Summerville    

Sumter     

Surfside  Beach... 

Swansea 

Tega  Cay 

Timmonsville 

Travelers  Rest  ... 

Union  

Vamville 

Wagener  

Walhalla 

Walterboro 

Ware  Shoals 

West  Columbia 

Westminster 

Whltmire   

Williamston 

Williston 

Winnsboro 

Woodruff 

York 


SOUTH  DAKOTA 


Aberdeen 

Belle  Fourche . 

Brookings 

Chamberlain... 

Deadwood 

Fort  Pierre 

IHuron 

ILead 

Madison 

Milbank 

Mitchell 

Mobridge 

'ierre 

Rapid  City 

Ealem 

ISioux  Falls 

bpearfish 

"Sturgis  

Vermillion  

Watertown 

Yankton    


TENNESSEE 


Adamsville 
Alcoa 

Ardmore    

Ashland  City 

Athens       

Bartlett 

Benton     

Bethel  Springs  . 

Bolivar      

Brentwood 

Bristol     

Brownsville 

Bruceton  

Caryville   

Centerville 

Chattanooga 
Church  Hill 
Clarksville 

Cleveland  

Collegedale 

Collierville 

Collinwood 

Columbia 


48 

8 

30 

8 

7 

3 

24 

8 

15 

6 

24 

10 

22 

95 

2 

149 

14 

11 

21 

29 

33 


25 

9 

6 

31 

47 

3 

1 

21 

38 

53 

24 

3 

3 

13 

510 

4 

121 

57 

10 

40 

4 

55 


36 
7 

25 
4 
5 
3 

22 
5 

11 
6 

20 
6 

19 

79 

2 

126 

10 
9 

15 

25 

19 


5 

3 

23 

2 

5 

4 

6 

23 

a 

33 

14 

3 

1 

15 

6 

30 

8 

50 

3 

18 

6 

3 

3 

9 

4 

56 

154 

4 

99 

11 

50 

7 

6 

4 

28 

12 

4 

48 

7 

TENNESSEE— Continued 


Cookeville 
Cowan 
Crossville 
Cumberland  Gap 

Dandridge 

Dayton  

Decherd 

Dresden         

Dyer     

Dyersburg  

East  Ridge 

Elkton 

Englewood 

Estill  Springs 

Fairview        

Fayetteville     

Franklin 

Fnendsville      

Gallatin  

Gates  

Gatlinburg 

Germantown 

Gleason 
Goodlettsville 

Grand  Junction 

GreeneviUe  

Harnman       

Hartsville      

Henderson 

Hendersonville 

Hohenwald 

Humboldt  

Huntingdon  

Jackson  

Jasper  

Jefferson  City 

Jellico 

Johnson  City 

Jonesborough 

Kenton 
Kimball 

Kingsport 

Kingston    

Knoxville 

Lafayette  

La  Follette 

Lake  City 

La  Vergne 

Lawrenceburg 

Lebanon 

Lexington  

Livingston    

Lookout  Mountain 

Loretto 

Martin 

Maryville 

McKenzie 

McMinnville 

Memphis 

Milan 

Millersville       

Millington 
Minor  Hill 
Monteagle 
Monterey 
Mornstown 
Mount  Juliet 
Mount   Pleasant 

Murfreesboro 

Nashville     

Newbern      

New  Johnsonville  ... 

Newport    

New  Tazewell 

Norris     


59 

4 

25 

2 

2 

14 

11 

5 

6 

40 

28 

1 

4 

1 

13 

24 

48 

3 

41 

2 

36 

44 

4 

33 

3 

38 

21 

12 

15 

52 

9 

29 

15 

169 

II 

15 

7 

131 

II 


90 

6 
357 
10 
21 
10 
17 
34 
29 
25 
16 
19 

4 
23 
30 
14 
35 
1,658 
19 

7 
28 

4 
12 

4 
51 
10 
12 
103 
1.306 
12 


46 
4 
18 

1 

2 

10 

7 

5 

6 

32 

24 

1 

4 

1 

9 

23 

38 

2 

33 

I 

31 

33 

4 

28 

3 

36 

17 

8 

11 

40 

9 

24 

10 

127 

7 

11 

6 

103 

7 

3 

5 

74 

6 

301 

10 

16 

8 

13 

26 

25 

20 

11 

15 

4 

18 

28 

11 

28 

1,231 

15 

4 

23 

2 

6 

4 

44 

6 

8 

84 

1,019 

8 

3 

24 

6 

7 


283 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
ofTicers 


TENNESSEE— Continued 

Oak  Ridge 

Obion 

Oliver  Springs 

Pigeon  Forge 

Portland 

Pulaski 

Red  Bank 

Ripley 

Rockwood 

Rossville 

Rutherford 

Savannah    

Sevierville 

Sewanee  

Sharon        

Shelby  villa   

Signal  Mountain 

Smyrna 

Soddy-Daisy 

Somerville 

South  Carthage 

South  Fulton 

South  Pittsburg 

Sparta    

Spring  City 

Springfield 

Spring  Hill 

Sweetwater 

Tazewell , 

Tracy  City 

Trenton 

Trimble 

Tullahoma  

Union  City 

Watertown 

Waverly 

Westmoreland 

White  House 

Winchester  

Woodbury     

TEXAS 

Abemathy 

Abilene 

Addison 

Alamo 

Alamo  Heights 

Alice 

Allen 

Alpine 

Alvarado 

Alvin 

Amarillo 

Ames 

Andrews 

Angleton 

Anson 

Anthony 

Aransas  Pass 

Arlington 

Arp 

Athens  

Atlanta 

Austin 

Azle 

Balch  Springs 

Balcones  Heights 

Ballinger 

Bastrop 

Bay  City 

Bayou  Vista 

Baytown 

Beaumont 


3 
189 
72 
18 
23 
40 
30 
11 
11 
41 
317 
14 
IS 
38 

4 

6 

21 

4S1 

2 
28 
IS 
1,08S 
23 
29 
15 

8 
11 
33 

S 
12S 
256 


3 

154 

54 

14 

18 

30 

20 

8 

6 

34 

243 

13 

14 

28 

4 

5 

17 

336 

2 

20 

10 

761 

17 

21 

14 

5 

9 

26 

4 

95 

225 


I 

4 
115 


5 

324 

6 

8 

1 

3 

2 

7 

1 

30 

31 


TEXAS— Continued 

Bedford 

Beeville 

Bellaire 

Bellmead 

Bellville 

Belton 

Benbrook  

Berryville 

Bertram 

Beverly  Hills 

Big  Sandy 

Big  Spring 

Bishop 

Blanco 

Blue  Mound 

Boerne 

Bonham 

Borger 

Bowie 

Brady 

Brazoria 

Breckenridge 

Brenham       

Bndge  City  

Bridgeport 

Brookshire 

Brownfield 

Brownsville 

Brownwood 

Bryan 

Burkbumett 

Burleson        

Burnet 

Caldwell 

Cameron 

Canadian 

Caney  City 

Canton 

Canyon  

Carmine 

Carrizo  Springs 

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 

Converse 

Conroe 

Coppell 

Copperas  Cove 

Connth  

Corpus  Christi 

Corrigan 

Corsicana 

Crane 

Crockett 

Crowley 

Crystal  City 


73 

23 

48 

12 

8 

26 

37 

4 

1 

6 

2 

60 

7 

1 

9 

11 

20 

28 

16 

13 

8 

IS 

36 

16 

12 

12 

19 

168 

34 

too 

17 
33 

9 

8 
10 

3 

5 
II 
12 

2 

7 
15S 
16 
21 
30 
IS 
IS 
14 
10 

9 
48 
23 

6 
2S 
18 
16 
85 
22 
13 

6 
II 

3 
18 
16 
61 
22 
41 
10 
459 

9 
44 
10 
21 
20 
12 


S3 

17 

36 

8 

6 

18 

30 

3 

1 

6 

2 

44 

4 

1 

S 

10 

13 

20 

10 

7 

6 

10 

26 

11 

7 

10 

14 

126 

27 

78 

12 

26 

7 

6 

7 

3 

2 

7 

11 

2 

6 

111 

12 

18 

22 

10 

11 

7 

9 

5 

36 

IS 

5 

19 

12 

9 

60 

14 

7 

6 

7 

3 

13 

IS 

48 

16 

32 

9 

345 

5 

34 

6 

14 

13 

8 


284 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


Cily 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


TEXAS— Continued 


Cuero 

DaingeiTield 

Dalhart 

Dallas 

j  Dalworthington  Gardens. 

Dayton 

Decatur 

Deer  Park 

De  Kalb 

Del  Rio 

Denison 

Denton  

Denver  City 

DeSoto 

Devine    

Diboll 

Dickinson 

Dilley 

Dimmitt 

Donna 

Dublin 

Dumas 

Duncan  ville 

Eagle  Lake 

Eagle  Pass 

Early 

Eastland 

Edcouch 

Eden      

Edinburg 

Edna     

El  Campo 

Electra  

Elgin 

El  Paso 

Elsa 

Ennis 

Euless 

Everman  

Fairfield 

Falfurrias 

Farmers  Branch 

Farmersville 

Ferris 

Floresville 

Flower  Mound 

Forest  Hill 

Forney 

Fort  Stockton 

Fort  Worth 

Frankston 

Fredericksburg 

Freeport 

Freer 

Friendswood 

Friona 

Gainesville 

Galena  Park 

Galveston 

Garland   

Gatesville 

Georgetown 

Giddings 

Gilmer 

Gladewater 

Gonzales 

Gorman 

Graham  

Granbury  

Grand  Prairie 

Grand  Saline 

Grapevine 

Greenville 

Gregory  

Groesbeck 


9 

6 

16 

2,960 

7 
15 
10 
46 

6 
58 
49 
108 
11 
47 
10 
13 
18 

1 

8 
23 

8 
26 
71 

7 
36 

5 
10 

5 

3 
50 

8 
23 
10 
14 
891 
11 
31 
79 
22 

7 

8 
73 

4 
13 

6 
30 
25 
II 
18 
1,247 

7 
15 
37 

7 
38 
10 
40 
21 
183 
260 
14 
29 
13 

9 
18 
15 

3 

21 

15 

188 

6 
75 
42 

3 

6 


9 

5 

9 

2.400 

5 

10 
9 

37 
3 

47 

41 

92 
6 

34 
5 
8 

15 
1 
7 

18 
6 

21 

48 
7 

31 
4 
8 
4 
2 

35 
7 

18 
6 

10 

688 

7 

25 

54 

14 
7 
8 

62 
4 
9 
6 

21 

18 
8 

II 

952 

5 

14 

29 
3 

28 
6 

31 

16 

148 

190 

7 

21 
9 
7 

12 
9 
3 

16 

12 

127 

5 

52 

34 
3 
5 


I 

7 
560 
2 
5 
1 

9 
3 

11 
8 

16 
5 

13 
5 
5 
3 

I 

5 

2 

5 

23 

5 

1 

2 

1 

1 

15 

1 

5 

4 

4 

203 

4 

6 

25 


TEXAS— Continued 

Groves 

Gruver 

Gun  Barrel  City 

Hallettsville 

Haltom  City 

Hamlin 

Marker  Heights 

Harlingen 

Hawkins 

Heame 

Hedwig  Village 

Hempstead 

Henderson 

Hereford 

Hewitt  

Hico 

Hidalgo 

Highland  Park 

Highland  Village 

Hill  Country 

Hillsboro  

Hitchcock 

Hollywood  Park 

Hondo 

Hooks 

Horseshoe  Bay 

Houston 

Humble 

Huntington 

Huntsville 

Hurst 

Hutchins 

Idalou 

Ingleside 

Iowa  Park 

Irving 

Jacinto  City 

Jacksboro  

Jacksonville 

Jamaica  Beach 

Jasper 

Jefferson 

Jersey  Village 

Jones  Creek 

Jonestown 

Joshua        

Jourdantown 

Katy    

Kaufman 

Keene 

Keller 

Kemp 

Kennedale 

Kermit 

Kerrville 

Kilgore 

Killeen 

Kingsville 

Kirby 

Kirbyville 

Kountze 

Kyle 

Lacy-Lakeview 

La  Feria 

Lago  Vista 

La  Grange 

La  Joya   

Lake  Dallas 

Lake  Jackson 

Lakeside      

Lakeview    

Lakeway  Village 

Lake  Worth , 

La  Marque 

Lamesa 


13 

2 
10 

4 
53 

9 
32 
85 

4 
16 
20 

8 
27 
29 
22 

2 
17 
54 
16 

5 
24 
18 

7 
13 

4 

II 

5.555 

48 

5 
37 
86 
12 

2 
13 
14 
279 
18 

8 
27 

6 
23 

5 
20 

3 

6 

7 

4 
21 
16 
12 
23 

5 

16 
16 
45 
36 
143 
53 
14 

3 

4 

4 
12 


12 

2 

6 

3 

41 

5 

24 

70 

4 

10 

14 

g 

22 

23 

15 

2 

13 

46 

9 

5 

17 
12 
7 

10 

4 

6 

4,445 

37 

5 

27 

55 

9 

2 

9 

10 

204 

14 

6 

22 

5 

13 

5 

14 

3 

5 

6 

4 

16 

11 

8 

17 

4 

11 

11 

38 

29 

113 

36 

9 

3 

4 

4 

6 

6 

5 

4 

6 

8 

28 

1 

13 

9 

19 

20 

14 


285 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31.  1987 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 

officers 


TEXAS— Continued 


TEXAS — Continued 


Lampasas    

Lancaster 
La  Porte 

Laredo 

La  Vemia 

La  Villa 

League  City 

Leander 

Leon  Valley 

Levelland      

Lewisville 

Lexington 

Liberty  

Lindale 

Littlefield 

Live  Oak    

Livingston 

Llano 

Lockhart 

Lone  Star 

Longview    

Los  Fresnos 

Lubbock 

Lufkin 

Luling 

Madisonville 

MalakofT 

Manor 

Mansfield  

Manvel        

Marble  Falls 

Marion 

Martin 

Marshall 

Mart 

Mathis      

McAllen 

McGregor    

McKinney    

Meadows 

Memphis 

Mercedes 

Merkel 

Mesquite 

Mexia 

Midland 

Midlothian 

Mineola       

Mineral  Wells 

Mission 

Missouri  City 

Monahans    

Mont  Belvieu 

Morgans  Point  Resort 
Mount  Pleasant 

Muleshoe   

Munday      

Nacogdoches 

Naples 
Nassau  Bay 

Navasota  

Nederland 

Needville    

New  Boston 

New  Braunfels 

Nocona       

NolanviUe 

Northcrest      

North  Richland  Hills.. 

Oak  Ridge  North 

Odessa       

Olmos  Park 

Olney  

Olton 

Onalaska 


14 

42 
52 
183 

1 

4 
48 
13 
32 
26 
83 

2 
19 
11 
14 
20 
14 

5 
13 

3 

170 

11 

334 

57 

12 

6 

8 

6 
30 

4 
13 

1 
14 
52 

6 

13 

239 

10 

38 

8 

3 
25 

2 
193 
17 
189 
16 
10 
31 
44 
52 
21 

8 

4 
23 
12 

2 

56 
2 
17 
15 
23 
5 

10 

45 

12 

10 

5 

87 

7 

235 

10 

9 

4 

3 


31 

37 

164 

1 

3 

37 
8 

25 

19 

71 
2 

11 
7 
9 

16 
8 
4 

11 

3 

132 

6 

278 

49 
6 
5 
6 
5 

23 
4 

10 
1 
9 

39 

3 

9 

171 

6 

30 
7 
2 

17 

2 

150 

12 
148 

11 
8 

23 

33 

40 

14 
6 
4 

18 
6 
2 

44 
2 

14 

10 

19 
5 
6 

34 
4 
6 
4 

63 

6 

174 

10 
5 
3 
3 


Orange 

Orange  Grove 

Ore  City 

Overton .... 

Oyster  Creek 

Palacios 

Palestine 

Palmer 

Pampa 

Pantego 

Pans   

Pasadena 

Pearland 

Pearsall         

Pecos  

Perryton  

Pflugervilie     

Pharr       

Pilot   Point     

Pittsburg 

Plainview 

Piano    

Pleasanton     

Port  Aransas 

Port  Arthur 

Port  Isabel    

Portland        

Port  Lavaca 

Port  Neches 

Poleet 

Premont 

Princeton     

Quanah  

Quinlan 

Quitman 

Ranger     

Ransom  Canyon 

Raymondville 
Red  Oak 
Refugio 

Richardson     

Richland  Hills 

Richmond 

Rich  wood 

River  Oaks 

Robinson 

Robstown 

Rockdale 

Rockport 

Rockwall  

Rollingwood 

Roma 

Roman  Forest 

Roscoe 

Rose  City 

Rosenberg 

Round  Rock 

Rowlett 

Royse  City 

Rusk    

Sabinal 

Sachse  

Saginaw        

San  Angelo  

San  Antonio 

San  Augustine 

San  Benito 

San  Juan 

San  Marcos 

Sansom  Park  Village. 

Santa  Anna  

Santa  Fe 

Schertz 

Seabrook 

Seagoville 


51 

40 

3 

3 

3 

3 

8 

3 

10 

6 

9 

6 

49 

38 

3 

3 

35 

27 

15 

10 

51 

35 

251 

201 

39 

30 

8 

8 

20 

15 

15 

10 

11 

6 

58 

40 

4 

4 

9 

8 

36 

29 

226 

149 

12 

9 

15 

10 

132 

103 

18 

13 

31 

21 

20 

16 

17 

14 

5 

4 

4 

4 

5 

4 

4 

4 

5 

4 

6 

6 

4 

4 

1 

1 

16 

10 

10 

6 

5 

4 

196 

128 

23 

17 

% 

15 

6 

5 

17 

12 

7 

6 

23 

18 

16 

9 

23 

16 

24 

18 

3 

3 

12 

8 

3 

2 

1 

1 

2 

2 

48 

36 

47 

35 

38 

29 

6 

6 

7 

6 

2 

2 

14 

8 

23 

16 

172 

140 

1.695 

1,394 

4 

4 

32 

26 

18 

13 

59 

45 

13 

9 

2 

2 

16 

11 

19 

13 

21 

18 

17 

12 

286 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


Total 

police 

employees 


Total 
ofTicers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
ofTicers 


TEXAS — Continued 


TEXAS— Continued 


Seagraves  

Sealy     

Seguin  

Selma       

Seminole 
Seven  Points 
Shallowater 
Shamrock 

Shavano  Park  

Shenandoah 

Sherman... 

Silsbee 

Sinton  

Slaton 

Smilhville 

Snyder 

Somerset 

Somerville 

Sonora 

South  Houston 

Southlake 

South  Padre  Island 

Southside  Place 

Spearman 

Springtown 

Spring  Valley 

Spur      

Stafford 

Stamford 
Stanton 

Stephenville 

Stinnett 

Sugar  Land     

Sulphur  Springs 

Sunset  Valley 

Surfside  Beach 

Sweeny 

Sweetwater 

TafI 

Tahoka 

Tatum 
Taylor 

Teague  

Temple 

Terrell 

Terrell  Hills 

Texarkana 

Texas  City 

The  Colony 

Tomball 

Troup 

Tulia 

Tye 

Tyler  

Universal  City 

University  Park 

Uvalde 

Van      

Vernon 

Victoria  

Vidor    

Village 

Waco 

Wake  Village 

Waller 

Wallis 

Watauga 

Waxahachie 

Weatherford 

Webster 

Wells 

Weslaco 

West    

West  Columbia 

West  Lake  Hills 


3 

10 

49 

8 

9 

9 

2 

8 

1 

5 

64 

20 

8 

14 

9 

19 

I 

3 

5 

35 

25 

22 

IS 

10 

9 

19 

2 

30 

8 

5 

33 

2 

40 

31 

2 

10 

6 

24 

3 

4 

4 

21 

6 

118 

30 

17 

78 

67 

31 

22 

5 

12 

3 

161 

35 

40 

23 

5 

22 

117 

26 

30 

237 

6 

5 

3 

37 

39 

36 

30 

1 

46 

4 

13 

12 


2 

9 

35 

7 

9 

4 

2 

4 

1 

5 

49 

14 

7 

7 

6 

15 

1 

3 

4 

28 

19 

16 

13 

5 

5 

14 

2 

21 

7 

4 

28 

2 

33 

26 

2 

8 

5 

20 

3 

4 

2 

15 

5 

94 

23 

17 

69 

56 

21 

20 

4 

6 

2 

128 

26 

32 

18 

4 

18 

84 

18 

25 

180 

5 

5 

2 

28 

30 

27 

22 

1 

35 

4 


West  Orange 

Westover  Hills 

West  Tawakoni 

West  University  Place.. 

Westworth  Village 

Wharton 

Whitehouse 

White  Oak 

Whitesboro 

White  Settlement 

Wichita  Falls 

Wills  Point 

Wilmer      

Windcrest 

Winnsboro 

Winters 

WolfTorth 

Woodville   

Woodway 

Wylie     

Yoakum  

Yorktown 


UTAH 


Alpine 

Amencan  Fork.... 

Beaver      

Blanding 

Bountiful 

Brigham  City 

Cedar  City 

Centerville... 

Clearfield 

Clinton 

Delta      

Draper  

Ephraim 

Farmington 

Garland 

Grantsville 

Gunnison 

Harrisville 

Heber 

Helper  

Hurricane 

Kamas    

Kanab    

Kaysville 

Layton  

Lehi 

Logan 

Manti 

Maplelon 

Midvale 

Moab 

Monticello 

Mount  Pleasant ... 

Murray 

Naples 

Nephi  

North  Ogden 

North  Salt  Lake.. 

Ogden  

Orem    

Park  City 

Parowan 

Payson 

Pleasant  Grove     . 

Pleasant  View 

Price 

Provo     

Richfield 

Riverdale 


13 

7 

23 

9 

16 

9 

14 

8 

29 

209 

6 

12 

17 

12 

5 

3 

7 

21 

20 

13 

5 


3 

18 

3 

7 

37 

33 

15 

9 

27 

6 

6 

7 

3 

5 

1 

5 

2 

5 

6 

4 

6 

I 

4 

10 

38 

10 

34 

3 

4 

25 

9 

3 

3 

59 

3 

6 

11 

8 

124 

70 

20 

2 

12 

12 

4 

16 

78 

10 

17 


6 

13 
3 

17 
4 

14 
7 

10 
4 

20 

148 

5 

8 

12 
7 
5 
3 
6 

16 

14 


3 

15 

3 

7 

29 

26 

14 

8 

20 

5 

5 

6 

3 

4 

1 

5 

2 

4 

5 

4 

6 

1 

3 

9 

31 

9 

30 

3 

4 

19 

7 

3 

3 

46 

2 

5 

9 

7 

106 

47 

15 

2 

11 

11 

4 

13 

60 

8 

15 


287 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


UTAH— Continued 

Roosevelt 

Roy 

Saint  George 

Salem 

Salina  

Salt  Lake  City 

Sandy     

Santaquin  City 

South  Jordan 

South  Ogden  

South  Salt  Lake 

Spanish  Fork 

SpringviUe 

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 

Burlington 

Castleton    

Chester 

Colchester 

Dover 

Essex 

Fair  Haven 

Hardwick  

Hartford 

Ludlow  

Manchester 

Middlebury 

Milton 

Montpeher 

Mornstown 

Newport  

Northfield 

Norwich      

Randolph  

Richmond 

Rutland  

Saint  Albans 

Saint  Johnsbury 

Shelburne    

South  Burlington 

Springfield 

Stowe 

Swanton  

Vergennes   

Waterbury 

Weathersfield 

Wilmington 

Windsor 

Winhall 

Winooski    

Woodstock 

VIRGINIA 

Abingdon      

Alexandria 


VIRGINIA— Continued 


12 

29 

38 

2 

3 

437 

82 

3 

8 

20 

35 

14 

18 

7 

5 

23 

7 

18 

II 

7 

5 

68 

104 


20 

5 

12 

31 

5 

41 

111 

2 

4 

22 

5 

27 

2 

9 

23 

7 

12 

II 

10 

22 

6 

14 

2 

5 

4 

2 

52 

21 

15 

16 

34 

20 

10 

4 

3 

5 

1 

7 

10 
3 

17 
5 


15 
315 


8 

22 

30 

2 

3 

317 

65 

3 

7 

14 

27 

12 

14 

6 

4 

19 

6 

15 

9 

6 

4 

51 

85 

7 


13 

224 


120 
17 


AltaVista  

Amherst       

Appalachia 
Appomattox  Town  . 

Arlington        

Ashland       

Bedford  

Berryville    

Big  Stone  Gap 

Blacksburg  

Blackstone  

Bluefield 

Bridgewater 

Bristol         

Brookneal   

Buchanan    

Buena  Vista 

Burkeviile   

Cape  Charles 

Cedar  Bluff 

Charlottesville 

Chase  City    

Chatham 

Chesapeake 

Chilhowie      

Chincoteague 

Christiansburg 

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 

Fnes    

Front  Royal 

Galax 

Gate  City    

Glade  Spring 

Glen  Lyn  

Gordonsville 

Gretna 

Grundy 

Halifax        

Hampton      

Harnsonburg 

Haysi 

Hemdon 

Hillsville 

Honaker 

Hopewell 

Hurt 

Independence 

Iron  Gate 

Jonesville       

Kenbndge 
Kilmarnock 
Lawrenceville   


14 

4 

10 

2 

371 

14 

25 

4 

16 

56 

IS 

14 

5 

47 

4 

1 

16 

4 

4 

2 

108 

12 

4 

289 

4 

11 

25 

7 

12 

2 

8 

11 

33 

3 

19 

8 

26 

2 

114 

2 

10 

8 

1 

9 

23 

4 

71 

40 

20 

26 

61 

1 

33 

24 

3 

3 

1 

4 

3 

3 

4 

241 

45 

1 

42 

8 

4 

50 

2 

2 

1 

3 

4 

4 

5 


11 

4 

7 

2 

304 

12 

17 

4 

12 

41 

11 

10 

5 

39 

4 

1 

12 

4 

4 

2 

89 

8 

4 

240 

4 

10 

19 

5 

9 

2 

8 

7 

25 

I 

14 

5 

20 

2 

99 

1 

6 

8 

I 

5 

17 

3 

58 

30 

15 

20 

50 

1 

26 

21 

3 

3 

1 

4 

3 

3 

4 

201 

34 

1 

33 

8 

4 

41 

2 

2 

1 

3 

4 

4 

5 


288 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


Total 

police 

employees 


Total 
officei^ 


Total 
civilians 


City 


Total 

police 

employees 


Total 
ofTicers 


VIRGINIA— ConHnued 

Lebanon 

Leesburg  

Lexington 

Louisa 

Luray 

Lynchburg  

Manassas 

Manassas  Park 

Marion 

Martinsville 

McKenney 

Middleburg 

Middletown 

Mount  Jackson 

Narrows 

New  Market 

Newport  News 

Norfolk 

Norton 

Onancock 

Onley 

Orange 

Parksley 

Pearisburg 

Pembroke 

Pennington  Gap 

Petersburg 

Pocahontas 

Poquoson  

Portsmouth 

Pound  

Pulaski 

Purcellville 

Quantico 

Radford 

Rich  Creek 

Richlands 

Richmond 

Roanoke 

Rocky  Mount 

Rural  Retreat 

Saint  Paul 

Salem 

Saltville 

Shenandoah 

Smithfleld 

South  Boston 

South  Hill 

Stanley 

Staunton 

Stephens  City 

Strasburg 

Suffolk 

Tappahannock 

Tazewell 

Urbanna 

Victoria 

Vienna 

Vinton 

Virginia  Beach 

Warrenton 

Warsaw 

Waverly 

Waynesboro 

Weber  City 

Williamsburg 

Winchester 

Wise  

Woodstock 

Wytheville 


6 

27 

20 

2 

II 

156 

61 

19 

21 

55 

1 

3 

2 

3 

5 

3 

302 

691 

17 

3 

1 

9 

3 

6 

1 

8 

142 

2 

18 

266 

5 

30 

5 

3 

28 

1 

19 

687 

259 

10 

1 

5 

67 

5 

5 

13 

19 

19 

3 

54 

2 

11 

103 

5 

11 

1 

3 

50 

22 

691 

22 

3 

5 

48 

1 

36 

58 

11 

9 

25 


6 

24 

IS 
2 

10 
138 

47 

13 

16 

49 
1 
3 
2 
3 
5 
3 
252 
623 

13 
3 
1 
9 
3 
6 
1 
4 

92 
2 

13 

210 

5 

23 
5 
3 

22 
1 

14 
611 
220 

10 
1 
5 

50 
5 
5 
8 

15 

14 
3 

44 
2 
7 

89 
5 

10 
1 
3 

39 

17 
504 

16 
3 
5 

45 
1 

27 

44 

10 
9 

18 


10 


11 

5 

187 

6 


WASHINGTON 

Aberdeen 

Algona 

Anacortes 

Arlington 

Auburn 

Battle  Ground         

Bellevue 

Bellingham 

Benton  City 

Bingen 

Black  Diamond 

Blaine    

Bonney  Lake 

Bothell 

Bremerton 

Brier     

Buckley 

Burlington 

Camas 

Castle  Rock 

Centralia 

Chehalis 

Chewelah 

Clarkston 

Cle  Elum 

Clyde  Hill 

College  Place 

Colville 

Colville  Tribal 

Connell  

Cosmopolis 

Coulee  Dam 

Dayton  

Des  Moines 

East  Wenatchee 

Eatonville 

Edmonds 

Ellensburg 

Elma      

Enumclaw 

Ephrata  

Everett 

Femdale 

Fife 

Fircrest  

Forks  

Goldendale 

Grand  Coulee 

Grandview 

Hoquiam 

Issaquah 

Kalama 

Kelso 

Kennewick 

Kent   

Kirkland 

Lacey  

La  Conner 

Lake  Stevens 

Long  Beach 

Longview 

Lummi  Tribal 

Lynden    

Lynnwood 

Marysville 

McCleary 

Medina  

Mercer  Island 

Monroe 

Montesano 

Moses  Lake 

Mountlake  Terrace 

Mount  Vernon 

Mukilteo 

Newport 


172 

106 

4 

4 

3 

8 

12 

24 

69 

8 

13 

13 

16 

4 

22 

17 

7 

12 

5 

6 

11 

10 

25 

5 

5 

3 

5 

24 

7 

3 

46 

1 

8 

12 

14 

147 

10 

17 

8 

11 

7 

3 

16 

29 

19 

4 

25 

57 

101 

44 

28 

4 

4 

4 

56 

9 

6 

45 

23 

4 

6 

39 

10 

6 

25 

25 

36 

9 

3 


36 

4 

16 

7 

55 

8 

116 

67 

4 

4 

3 

7 

8 

17 

50 

6 

7 

8 

13 

3 

19 

14 

4 

9 

5 

6 

7 

9 

15 

5 

4 

3 

3 

18 

6 

3 

33 

15 

4 

9 

8 

117 

7 

II 

7 

6 

6 

3 

11 

22 

13 

4 

21 

45 

63 

33 

23 

3 

4 

4 

46 

8 

5 

37 

17 

4 

6 

29 

9 

6 

16 

22 

26 

7 

3 


289 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

einployees 


Total 
officers 


WASHINGTON— Continued 


Normandy  Park.. 

Oak  Harbor 

Ocean  Shores 

Okanogan 

Olympia 

Oroville 

Othello      

Pacific 

Pasco        

Pomeroy    

Port  Angeles 

Port  Orchard 
Port  Townsend 

Poulsbo 

Prosser 

Pullman 

Puyallup 

Quincy       

Raymond   

Redmond 

Renton 

Republic 
Richland 
Ridgefield 

Ritzville       

Ruston       

Seattle  

Sedro  Woolley 
Selah 
Sequim 
Shelton 

Snohomish   

Snoqualmie 

Soap  Lake   

Spokane      

Stanwood 

Steilacoom 

Sumner         

Sunnyside 

Tacoma 

Tonasket    

Toppenish 

Tukwila       

Tumwater 

Union  Gap 

Vancouver 

Walla  Walla 

Wapato    

Washougal 

Wenatchee 

Westport    

West  Richland 

White  Salmon 

Winlock 

Woodland 

Yakima 

Zillah 


WEST  VIRGINIA 


Alderson 
Anmoore 

Ansted      

Barboursville.. 

Beckley       

Belington    

Belle 

Benwood    

Bethlehem 

Bluefield     

Bridgeport 

Buckhannon... 

Cameron     

Cedar  Grove.. 


II 
30 
11 

6 
b<> 

8 
12 

6 
41 

2 
40 
12 
10 
13 
12 
29 
49 

8 

7 
56 
88 

2 
48 

2 

3 

1 

1.511 

14 

9 
II 
28 
13 

5 

4 
298 

5 

II 

15 

20 

325 

3 
1 

37 
17 
14 
84 
49 
14 

8 
41 
11 
11 

4 

4 

5 
113 

4 


10 

20 

6 

5 

53 

4 

9 

5 

32 

2 

26 

11 

9 

11 

8 

20 

33 

6 

5 

41 

64 

2 

41 

2 

3 

1 

1,121 

10 

7 

7 

16 

II 

4 

4 

235 

5 

9 

10 

15 

296 

3 

12 

29 

14 

12 

71 

30 

11 

7 

31 

7 

8 

4 

3 

5 

85 

3 


390 

4 
2 
4 
12 
2 
1 

63 


WEST  VIRGINIA— Continued 

Ceredo 

Chapmanville 

Charleston  

Charles  Town 

Chesapeake 

Chester        

Clarksburg  

Clay  

Clendenin 

Danville 

Davy    

Delbarton    

Dunbar       

Elkins    

Fairmont  City 

Fayetteville 

Follansbee 

Fort  Gay    

Gauley  Bridge 

Glen  Dale  

Glenville     

Grafton       

Grantsville 

Granville        

Harpers  Ferry-Bolivar 

Harnsville 

Hinton 

Huntington  

Hurricane 

Kenova 

Kermit 

Keyser 

Kimball 

Kingwood 

Lewisburg 

Logan 

Lumberport 

Mabscott  

Madison 

Man    

Mannington 

Marhnton 

Marmet     

Martinsburg 

Mason  

Matewan 

McMechen 

Milton 

Monongah 

Montgomery 

Moorefield 

Morgantown  

Moundsville  

Mount   Hope  

Mullens 

New  Cumberland 

New  Haven  

New  Martinsville       

Nilro    

Northfork 

Nutter  Fort 

Oak  Hill 

Oceana 

Paden  City  

Parkersburg 

Parsons 

Pennsboro  

Petersburg        

Philippi 

Piedmont 

Pineville 

Poca    

Point  Pleasant 

Princeton    

Ramelle      


9 

3 

182 

10 
3 
3 

42 
1 
6 
4 
1 
2 

17 

15 

40 
4 
6 
2 
3 
5 
4 
9 
3 
2 
4 
2 
7 
105 

10 

13 
3 

12 
2 
4 
7 

11 
2 
3 
7 
4 
4 
2 
3 

35 
3 
3 
4 
3 
1 

14 
3 

57 

20 
3 
4 
3 
1 

15 

10 
4 
6 

12 
4 
8 

73 
2 
1 
5 
5 
2 
4 
1 
9 

26 
3 


4 
3 
161 
8 
3 
3 
32 
1 
5 
3 
I 

2 
12 
10 
31 
3 
6 
2 
3 
5 
4 
6 
2 
2 
4 
2 
6 
100 
5 
9 
2 
7 
1 
4 
7 
8 
2 
3 
6 
4 
4 
1 
3 
28 
2 
3 
4 
2 
1 
10 
3 
46 
18 
3 
4 
3 
1 
10 
10 
4 
6 
7 
4 
4 
60 
2 
1 
4 
5 
2 
4 
I 
8 
21 
3 


290 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,   1987 — Continued 


City 


Total 

police 

einployees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 

officers 


Total 
civilians 


WEST  VIRGINIA— Continued 


Ranson  

Ravenswood 

Richwood 

Ripley  

Romney 

Roncevcrte 

Saint  Albans 

Saint  Mary's 

Saletn 

Shepherdstown 

Shinnston 

Sistersville 

Smithers 

Sophia  

South  Charleston 

Spencer 

Star  City 

Stonewood 

Summersville 

Sutton 

Terra  Alta 

Vienna 

War 

Wayne 

Webster  Springs 

Weirton 

Welch 

Wellsburg 

Weston 

Westover 

Wheeling 

Whitesville  

White  Sulphur  Springs. 

Williamson 

Williamstown 


WISCONSIN 


Adams 

Algoma 

Altoona 

Appleton 

Ashland 

Ashwaubenon 

Baraboo 

Bayside 

Beaver  Dam 

Berlin    

Black  River  Falls. 

Bloomer 

BriUion  

Brodhead  

Brookfield 

Brown  Deer  

Burhngton 

Burlington  Town .. 

Butler 

Cedarburg  

Chenequa 

Chilton 

Chippewa  Falls 

Clintonville 

Columbus 

Combined  Locks... 

Crandon 

Cuba  City 

Cudahy  

Darlington 

De  Forest 

Delaficld 

Delavan 

Delavan  Town 

De  Pere  

Dodgeville    


WISCONSIN— Continued 


3 

5 

8 

118 

21 

32 

20 

IS 

33 

15 

8 

8 

3 

10 

73 

32 

26 

6 

9 

26 

7 

6 

32 

12 

7 

4 

3 

3 

37 

4 

4 

8 

14 

7 

30 

7 


Durand    

East  Troy 

Eau  Claire 

Edgerton 

Elm  Grove 

Fitchburg 

Fond  du  Lac 

Fort  Atkinson 

Fox  Point 

Franklin 

Germantown 

Glendale  

Grafton    

Green  Bay 

Greendale 

Greenfield  

Hales  Comers 

Hallie  Town 

Hartford 

Hartland 

Holmen 

Horicon  

Hudson 

Janesville 

Jefferson 

Kenosha 

Kewaunee 

Kewaskum 

Kiel  

Kimberly 

La  Crosse 

Ladysmith 

Lake  Delton 

Lake  Geneva 

Lake  Mills 

Lancaster 

Little  Chute 

Lodi 

Madison  Town 

Manitowoc  

Marshfield  

Mauston      

Mayville  

Medford 

Menasha  Town 

Menomonee  Falls    . 

Menomonie 

Mequon 

Merrill 

Middleton 

Milton     

Milwaukee 

Mmocqua 

Monona  

Monroe 

Mosinee  

Mount  Pleasant 

Mukwonago 

Muskego  

Neenah   

Neillsville 

New  Berlin 

New  Holstein 

New  Lisbon 

New  London  

New  Richmond 
North  Fond  du  Lac  . 
Oak  Creek 

Oconomowoc 

Oconomowoc  Town... 

Oconto  

Oconto  Falls 

Onalaska     

Oregon  

Oshkosh  


108 

10 

20 

22 

70 

20 

22 

34 

27 

45 

24 

204 

31 

61 

18 

6 

19 

11 

5 

8 

13 

97 

12 

165 

6 

4 

10 

8 

97 

8 

5 

19 

6 

7 

12 

6 

17 

68 

43 


13 

70 
37 
42 
24 
27 

6 

2.317 

13 

21 

31 

6 
22 
12 
30 
50 

6 
69 
10 

2 
15 
10 

9 
43 
27 

7 

7 

5 
16 


4 

6 

82 

9 

16 

17 

59 

15 

17 

27 

21 

35 

18 

163 

25 

48 

15 

5 

15 

10 

5 

7 

II 

73 

11 

154 

6 

4 

5 

7 

82 

6 

5 

15 

6 

6 

II 

5 

14 

59 

33 

7 

8 

7 

12 

54 

25 

35 

20 

22 

6 

1,944 

1 

24 
5 

15 
9 

24 

41 
5 

54 
6 
2 

15 
9 
7 

39 

21 
7 
7 
5 

15 
7 


291 


Table  72.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1987 — Continued 


City 


Total 

police 

employees 


Total 
ofTicers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


WISCONSIN— Continued 

Palmyra 

Park  Falls 

Pewaukee 

Plalteville 

Pleasant  Prairie 

Plover  

Plymouth  

Port  Washington 

Praine  du  Chien 

Racine       

Reedsburg 

Rhinelander 

Rice  Lake 

Richland  Center 

Ripon        

River  Falls 

Rome  

Rothschild 

Saint  Francis 

Sauk  Prairie 

Saukville  

Schofield    

Shawano  

Sheboygan  

Shorewood  

Shorewood  Hills 

South  Milwaukee 

Sparta       

Stanley         

Stevens  Point 

Stoughton  

Sturgeon  Bay 

Sturtevant 

Sun  Prairie 

Thiensville 

Tomah       

Tomahawk 

Twin  Lakes 

Two  Rivers 

Verona     

Viroqua    

Washburn 

Waterloo 

Watertown 

Waukesha 

Waunakec 

Waupaca 

Waupun 

Wausau 

Wauwatosa 

West  Alhs 

West  Bend 

West  Milwaukee 

Weston 


4 
6 
14 
23 
7 
5 

12 

19 

14 

263 

17 

23 

23 

11 

14 

15 

2 

5 

20 

10 

7 

5 

21 

107 

29 

7 

40 

14 

4 

50 

17 

18 

7 

29 

7 

19 

g 

9 

29 

8 

7 

4 

5 

37 

II 

7 

14 

16 

60 

110 

154 

47 

25 

16 


3 
6 

12 

18 

7 

5 

II 

14 

9 

204 

II 

17 

21 

9 

10 

14 

2 

5 

19 

9 

6 

5 

17 

89 

25 

6 

30 

13 

4 

40 

17 

17 

7 

22 

6 

14 

6 

5 

24 

7 

7 

4 

5 

31 

89 

6 

10 

14 

53 

87 

131 

39 

19 

12 


WISCONSIN— Continued 

West  Salem 

Whitefish  Bay 

Whitewater   

Wisconsin  Dells 

Wisconsin  Rapids 

WYOMING 

Aflon 

Baggs 

Basin 

Buffalo 

Casper 

Cheyenne 

Cody 

Cokeville 

Diamondville 

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 

Pinedale 

Powell 

Rawlins 

Riverton 

Rock  Springs 

Saratoga  

Sheridan 

Shoshoni 

Sundance 

Thayne 

Thermopolis 

Torrington  

Upton        

Wheatland 

Worland 


292 


Table  73.  —  Number  of  Full-time  Law  Enforcement  Employees,  Universities  and  Colleges,  October  31,  1987 


University/College 


Total 

police 

employees 


Total 
officers 


Total 

civilians 


University/College 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


ALABAMA 

Auburn  University: 

Main  Campus 

Montgomery      

Jacksonville  Stale  University 

Troy  State  University 

University  of  Alabama: 

Tuscaloosa         

University  of  Montevallo 

ARIZONA 

Arizona  State  University 

Arizona  Western  College 

Northern  Anzona  University 
Pima  Community  College 

University  of  Anzona 

Yavapai  College 

ARKANSAS 

University  of  Arkansas: 

Fayetteville 

Little  Rock 

Medical  Science 

CALIFORNIA 

Cabrillo  College        

California  State  College: 

Bakersfield 

San  Bernardino 

Stanislaus 

California  State  Polytechnic  University: 

Pomona       

San  Luis  Obispo 

California  State  University: 

Chico    

Dominguez  Hills 

Fresno     

Fullerton 

Hay  ward 

Long  Beach 

Los  Angeles 

Northridge 

Sacramento 

San  Diego 

San  Francisco 

San  Jose  

College  of  Marin 

College  of  the  Sequoias 

Contra  Costa  Community  College 

Foothill-Deanza  District  Community  College 

Humboldt  State  University  

Merced  College  

San  Jose  City  College 

Sonoma  State  University 

University  of  California: 

Berkeley 

Davis 

Irvine 

Lawrence  Berkeley  Laboratory 

Lawrence  Livermore  Laboratory 

Los  Angeles 

Riverside 

San  Diego 

San  Francisco 

Santa  Barbara 

Santa  Cruz 

West  Valley  College 

Yosemite  Community  College     


14 
21 
15 

26 
29 

14 
20 
28 
29 
18 
28 
37 
22 
30 
39 
25 
35 
9 
5 
22 
12 
18 
3 
9 
16 

140 

80 

52 

18 

265 

101 

23 

34 

72 

38 

26 

10 

6 


36 

12 

6 

1 

17 

9 

17 

14 

33 

27 

5 

11 

3 

11 

10 

12 

3 

14 

12 

14 

15 

9 

5 

12 

8 

17 

11 

14 

15 

10 

8 

22 

6 

22 

15 

17 

5 

15 

15 

25 

14 

19 

6 

25 

10 

8 

1 

4 

1 

18 

4 

11 

1 

11 

7 

2 

1 

5 

4 

9 

7 

68 

72 

47 

33 

19 

33 

10 

8 

15 

250 

59 

42 

13 

10 

22 

12 

27 

45 

26 

12 

15 

11 

9 

1 

5 

1 

COLORADO 

Adams  State  College 

Arapahoe  Community  College 

Auraria  Higher  Education  Center 

Colorado  School  of  Mines         

Colorado  Slate  University 

Red  Rocks  Community  College     

University  of  Colorado; 

Boulder  

Colorado  Springs 

Medical  Center  

University  of  Northern  Colorado 

University  of  Southern  Colorado    

CONNECTICUT 

Central  Connecticut  State  University.. 
Eastern  Connecticut  State  University  . 
University  of  Connecticut: 

Avery  Point 

Health  Center 

Main  Campus 

Western  Connecticut  State  University 
Yale  University        

FLORIDA 

Florida  A  &  M  University  

Florida  Atlantic  University 

Florida  International  University 

Florida  State  University.  Talahassee... 

University  of  Centra!  Florida 

University  of  Florida 

University  of  North  Florida 

University  of  South  Florida: 

Saint  Petersburg 

Sarasota  

Tampa 

University  of  West  Florida 

GEORGIA 

Albany  State  College 

Armstrong  State  College 

Augusta  College 

Columbus  College   

Georgia  Institute  of  Technology 

Georgia  Southern  College       

Georgia  Southwestern  College 

Georgia  Slate  University 

Kennesaw  College 

Medical  College  of  Georgia 

Savannah  State  College 

South  Georgia  College 

University  of  Georgia 

Valdosia  State  College 

West  Georgia  College         

ILLINOIS 

Black  Hawk  College    

Chicago  Stale  University 

College  of  DuPage      

College  of  Lake  County 

Eastern  Illinois  University 

Governors  State  University 

Illinois  State  University 

John  A.  Logan  College 

Joliet  Junior  College 

Morion  College        

Noriheastem  Illinois  University 

Norihern  Illinois  University 

Rock  Valley  College 

Sangamon  State  University 


29 

19 

28 

22 

35 

29 

53 

47 

37 

25 

95 

62 

19 

15 

11 

9 

12 

10 

45 

33 

25 

16 

293 


Table  73.  —  Number  of  Full-time  Law  Enforcement  Employees,  Universities  and  Colleges,  October  31,   1987 — Continued 


University/College 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


University/College 


Total 

police 

employees 


Total 
officers 


ILLINOIS— Continued 

Southern  Illinois  University: 

Carbondale    

Edwardsville 

State  Community  College 

Thornton  Community  College 

Triton  College  

University  of  Illinois: 

Chicago 

Urbana         

Waubonsee  College 

Western  Illinois  University   

William  Rainey  Harper  College 


INDIANA 


Indiana  University: 
Bloomington  .... 

Gary     

Indianapolis 

New  Albany,,., 


IOWA 


Iowa  State  University 

University  of  Iowa 

University  of  Northern  Iowa.. 


KANSAS 


Empona  Stale  University 

Fort  Hays  State  University    

Kansas  State  University,  Manhattan  . 

Pittsburg  State  University  

University  of  Kansas: 

Lawrence  

Medical  Center 

Wichita  State  University 


KENTUCKY 

Eastern  Kentucky  University 

Morehead  State  University 

Murray  Stale  University 

Northern  Kentucky  University  .. 

University  of  Kentucky     

University  of  Louisville 

Western  Kentucky  University.... 


LOUISIANA 

Louisiana  State  University: 

Baton  Rouge 

Louisiana  Tech.  University 
McNeese  State  University 
Northeast  Louisiana  University 
Southeastern  Louisiana  University 

MAINE 

University  of  Maine,  Orono 

University  of  Southern  Maine 

MARYLAND 

Bowie  State  College  

Coppin  State  College   

Frostburg  State  College 

Morgan  State  University 

Sainl  Mary's  College     

Salisbury  State  College 

Towson  State  University 

University  of  Baltimore 

University  of  Maryland: 


43 

9 

21 

4 

5 

1 

12 

3 

14 

3 

61 

18 

44 
1 

7 

21 

10 

7 

6 

12 

10 

2 

11 

10 

1 

33 

19 

14 

14 

12 

2 

54 

33 

21 

40 

30 

10 

24 

19 

5 

MARYLAND— Continued 

Baltimore  City 

Ball i more  County 

College  Park    

Eastern  Shore 

MICHIGAN 

Central  Michigan  University    

Delta  College 

Eastern  Michigan  University 

Ferns  State  College 

Grand  Valley  State  College 

Hope  College  

Lansing  Community  College 

Macomb  Community  College 

Michigan  State  University 

Michigan  Technological  University 

Northern  Michigan  University 

Oakland  University 

Saginaw  Valley  State  College 

University  of  Michigan.  Flint 

Western  Michigan  University 

MINNESOTA 

University  of  Minnesota 

MISSISSIPPI 

Mississippi  State  University , 

University  of  Mississippi         

MISSOURI 

University  of  MIssoun: 

Columbia  

Saint  Louis 

Washington  University 

MONTANA 

Montana  State  University 

NEBRASKA 

University  of  Nebraska,  Lincoln 

NEVADA 

University  of  Nevada.  Reno 

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  Palerson  College 


100 

27 
73 
10 


45 


20 
10 
34 
25 
26 
15 
17 
26 
36 

31 
46 
106 
17 
24 

7 
157 
38 
30 


30 

17 

11 

8 

26 

19 

18 

13 

7 

6 

5 

5 

12 

9 

25 

11 

53 

44 

11 

7 

17 

14 

15 

14 

7 

5 

10 

3 

31 

24 

39 


10 


294 


Table  73.  —  Number  of  Full-time  Law  Enforcement  Employees,  Universities  and  Colleges,  October  31,  1987 — Continued 


U  n  i  ve  rsi  t  y /Col  lege 


NEW  MEXICO 

Eastern  New  Mexico  University... 
New  Mexico  State  University 
University  of  New  Mexico 
Western  New  Mexico  University 

NEW  YORK 


Rensselaer  Polytechnic  Institute 

State  University  of  New  York: 

Albany         

Amherst 

Binghamton 

Downstate  Medical  Center 

Manlime  College 

Stony  Brook     

Upstate  Medical  Center 
Stale  University  of  New  York 

Agricultural  and  Technical  College: 

Alfred  

Canton         

Cobleskiil  

Delhi  

Farmingdale 

Morrisville 

State  University  of  New  York  College: 

Brockport 

Buffalo  

Cortland  

Environmental  Science  and  Forestry . 

Fredonia 

Geneseo 

New  Paltz 

Old  Westbury 

Oneonta 

Optometry 

Oswego 

Flattsburgh 

Potsdam  

Purchase  

Utica-Rome  


Total 

police 
employees 


NORTH  CAROLINA 

Appalachian  State  University 

East  Carolina  University 

North  Carolina  State  University,  Raleigh  , 
University  of  North  Carolina: 

Asheville 

Chapel  Hill 

Charlotte   

Wilmington 

Western  Carohna  University 

NORTH  DAKOTA 

University  of  North  Dakota 


OHIO 

Bowling  Green  University 
Cleveland  State  University 
Cuyahoga  Community  College,, 

Kent  State  University 

Lakeland  Community  College... 

Miami  University 

Ohio  State  University 

University  of  Akron 

University  of  Cincinnati 

University  of  Toledo 

Youngstown  State  University... 


25 

42 
68 
29 
83 
15 
114 
51 


Total 
officers 


17 

15 

2 

45 

28 

17 

60 

40 

20 

8 

7 

1 

50 

36 

14 

33 

21 

12 

20 

15 

5 

15 

12 

3 

11 


13 
10 

9 
10 
20 

9 

1 

28 
1 

11 
15 
18 
22 
22 
19 
4 
20 
13 
II 
19 
10 


Total 
civilians 


Universily/College 


OKLAHOMA 


Central  State  University 

Northeastern  Oklahoma  Slate  University  . 

Oklahoma  State  University 

Putnam  City  Campus  

Tulsa  Junior  College 
University  of  Oklahoma: 

Norman 

Health  Science  Center 


OREGON 


Oregon  State  University 


PENNSYLVANIA 


Bloomsburg  University 

California  University 

Cheyney  University 

Clarion  University 

East  Stroudsburg  University 

Edinboro  University 

Elizabethtown  College 

Indiana  University  

Kutztown  University  

Lehigh  University 
Lincoln  University 
Lock  Haven  University 
Mansfield  University 

Millersville  University 

Moravian  College 

Pennsylvania  State  University: 

Altoona  Campus 

Behrend  College 

Capital  Campus 

McKeesport 

University  Park 

Shippensburg  University 

Slippery  Rock  University 

University  of  Pittsburgh.  Bradford 
West  Chester  University  


RHODE  ISLAND 

University  of  Rhode  Island 

SOUTH  CAROLINA 


Clemson  University  

Medical  University  of  South  Carolina 
University  of  South  Carolina; 

Columbia 

Spartanburg 

Trident  Technical  College 

Winthrop  College      


TENNESSEE 


Austin  Peay  State  University 

East  Tennessee  Stale  University 
Middle  Tennessee  State  University  . 
University  of  Tennessee: 

Martin 

Memphis 


TEXAS 


Angelo  State  University 

Baylor  University     

Eastfield  College 

East  Texas  State  University 
Lamar  University 
McLennan  Community  College 
Midwestern  State  University 


Total 

police 

employees 


Total 
officers 


16 
16 

24 

16 

15 

15 

7 

23 

19 

16 

2 

7 

9 

15 

12 

6 
8 

7 
4 
55 
13 
16 
5 
18 


26 


35 
108 

75 

7 

20 

22 


Total 
civilians 


12 

4 

7 

7 

9 

14 

1 

7 

5 

5 

1 

7 

1 

6 

1 

4 

44 

11 

12 

1 

13 

3 

5 

15 

3 

22 

4 

28 

7 

69 

39 

59 

16 

6 

1 

18 

2 

15 

7 

6 

2 
2 

2 
11 


2 

12 
1 
5 

8 
4 
1 


295 


Table  73.  —  Number  of  Full-time  Law  Enforcement  Employees,  Universities  and  Colleges,  October  31,   1987 — Continued 


University/College 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


University/College 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


TEXAS— Continued 


North  Harris  County  College 

North  Texas  State  University 

Pan  American  University 

Richland  College    

Southern  Methodist  University 

South  Plains  College  

Southwestern  University  

Southwest  Texas  Stale  University 

Stephen  F    Austin  State  University 

Sul  Ross  State  University 

Texas  A  and  M  University 

College  Station 

Galveston 

Texas  Arts  and  Industries 

Texas  Christian  University 

Texas  College  Osteo.  Med 

Texas  Southern  University  

Texas  State  Technical  Institute: 

Amarillo 

Waco 

Texas  Tech.  University 

Texas  Tech.  Health  Science  Center 

Texas  Woman's  University 

University  of  Houston: 

Central  Campus 

Clear  Lake  

Downtown  Campus 

University  of  Texas: 

Arlington 

Austin 

Dallas 

El  Paso 

Galveston 

Health  Science  Center,  San  Antonio.. 

Houston     

Permian  Basin 

San  Antonio 

University  of  Texas  Southwest 

Medical  School 


UTAH 


Brigham  Young  University     

Salt  Lake  Community  College 

University  of  Utah 

Utah  Slate  University  

Utah  Valley  Community  College.. 
Weber  State  College    


14 

31 

12 

12 

29 

4 

5 

26 

26 

7 

74 

6 

18 

26 

17 

25 

11 
14 
42 
22 
24 

58 
16 
16 

57 
153 
26 
37 
29 
37 
170 
14 
31 

43 


5 

16 

10 

16 

10 

6 

I 

37 

37 

6 

13 

5 

16 

10 

11 

6 

13 

12 

11 

2 
14 
12 
11 

20 
6 
5 

32 
84 
19 
25 
7 
24 
123 
10 
19 

27 


VIRGINIA 

Chnstopher  Newport  College   

College  of  William  and  Mary , 

George  Mason  University , 

James  Madison  University , 

Longwood  College  

Mary  Washington  College 

Old  Dominion  University  

Radford  University 

Thomas  Nelson  Community  College  .. 

University  of  Richmond 

University  of  Virginia 

Virginia  Commonwealth  University 
Virginia  Polytechnic  Institute  and 
State  University    

WASHINGTON 

Central  Washington  University 

Eastern  Washington  University 

University  of  Washington  

Washington  State  University  

WEST  VIRGINIA 

Concord  College  

Glenville  State  College     

Marshall  University 

West  Liberty  State  College 

West  Virginia  Institute  of  Technology 

West  Virginia  State  College       

West  Virginia  University  

WISCONSIN 

University  of  Wisconsin: 

Eau  Claire 

Green  Bay  

Madison 

Milwaukee 

Oshkosh 

Parkside 

Whitewater 

WYOMING 

University  of  Wyoming ;... 


24 


10 
18 
27 
17 
11 
10 
23 
14 
8 

14 
50 
43 

32 


10 

7 

58 

17 


5 

4 
19 
6 

7 

7 

37 


10 
1 
37 
32 
II 
6 
11 


I 

7 

9 

3 

I 

4 

11 

3 

1 

14 

22 

29 


20 


2 
10 
57 
3 
1 
3 
4 


13 


296 


Table  74.  —  Number  of  Full-time  Law  Enforcement  Employees,  Suburban  Counties,  October  31,  1987 


County  by  state 


Total 

police 

employees 


Total 
ofTicei^ 


Total 
civilians 


County  by  stale 


Total 

police 

employees 


Total 

Total 

officers 

civilians 

209 

70 

300 

103 

127 

54 

60 

19 

176 

83 

21! 

141 

120 

63 

90 

59 

206 

23 

165 

91 

106 

37 

9 

12 

243 

300 

653 

1.534 

121 

61 

273 

283 

2,336 

952 

241 

125 

23 

29 

91 

107 

670 

1.044 

229 

214 

171 

106 

223 

254 

146 

234 

140 

130 

44 

31 

104 

80 

626 

302 

113 

137 

675 

901 

267 

232 

550 

812 

314 

389 

110 

120 

133 

216 

64 

75 

221 

297 

160 

227 

254 

117 

25 

133 

21 

34 

19 

154 

24 

109 

25 

2 

1 

61 

9 

69 

3 

60 

21 

140 

28 

169 

19 

186 

43 

303 

97 

32 

19 

10 

112 

153 

582 

116 

54 

3 

County  by  state 


Total 

police 

employees 


Total 
officers 


ALABAMA 

Autauga 

Baldwin 

Blount 

Calhoun 

Colbert 

Dale 

Elmore 

Etowah 

Houston 

JefTerson 

Lauderdale 

Madison 

Mobile 

Montgomery 

Russell 

Shelby 

Saint  Clair 

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  Joaqum 

San  Mateo   

Santa  Barbara 

Santa  Clara 

Santa  Cruz  

Shasta 

Solano 

Sonoma 

Stanislaus 

Sutter 

Tulare 

Ventura 

Yolo 

Yuba 


21 
92 
21 
43 
30 
17 
22 
49 
91 
471 
37 
86 
228 
165 
50 
61 
21 
94 
39 


1,537 
824 


21 
35 
21 
47 
18 
17 
248 
32 
44 
44 


1.148 

81 

643 

186 

402 

899 

5,906 

230 

104 

351 

71 

1,849 

246 

1,121 

1,218 

1,409 

1,709 

515 

454 

337 

1,129 

137 

226 

250 

253 

206 

102 

441 

839 

135 

55 


21 

34 
15 
24 
19 
11 
13 
24 
31 
382 
22 
63 
124 
142 
19 
44 
15 
71 
31 


396 
329 


14 

9 

33 

9 

14 

106 

20 

19 

43 


758 

48 
477 
116 
277 
535 
4.432 
151 

76 
270 

57 

1,041 

166 

611 

871 

1.000 

1.084 

327 

360 

229 

824 

101 

151 

87 
179 
129 

81 
363 
540 

60 

39 


58 

6 

19 

11 

6 

9 

25 

60 

89 

15 

23 

104 

23 

31 

17 

6 

23 


1.141 
495 


13 

21 

12 

14 

9 

3 

142 

12 

25 

1 


390 

33 

166 

70 

125 

364 

1.474 

79 

28 

81 

14 

808 

80 

510 

347 

409 

625 

188 

94 

108 

305 

36 

75 

163 

74 

77 

21 

78 

299 

75 

16 


COLORADO 

Adams 

Arapahoe 

Boulder 

Douglas 

El  Paso  

Jefferson 

Larimer 

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 

Saint  Johns 

Saint  Lucie 

Santa  Rosa 

Sarasota 

Seminole 

Volusia 

GEORGIA 

Barrow 

Bibb 

Catoosa 

Chatham 

Chatham  Police 

Department 

Chattahoochee 

Cherokee  

Clarke 

Clarke  Police 

Department 

Clayton        

Clayton  Police 

Department 

Cobb  

Cobb  Police 

Department 

Coweta , 

Dade 

DeKalb 
DeKalb  Police 

Department 

Dougherty    


279 
403 
181 

79 
259 
352 
183 
149 


229 


256 

143 

21 

543 

2.187 
182 
556 

3,288 

366 

52 

198 

1.714 
443 
277 
477 
380 
270 
75 
184 
928 
250 

1.576 
499 

1.362 
703 
230 
349 
139 
518 
387 
371 


25 
154 

53 
178 

134 

3 
70 

72 

81 
168 

188 
229 

400 
51 
10 

265 

698 

57 


GEORGIA— Continued 

Dougherty  Police 

Department 

Douglas  

Effingham 

Fayette 

Forsyth '. 

Fulton 

Fulton  Police 

Department 

Gwinnett   

Gwinette  Police 

Department 

Henry 

Houston 

Jackson 

Jones 

Lee 

Madison 

Muskogee 

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 

Saint  Clair 

Tazewell 

Will 

Winnebago 

Woodford 

INDIANA 

Allen 

Clark 

Dearborn 

De  Kalb 

Delaware 

Elkhart 

Hamilton 

Hancock 

Harrison 

Howard     

Johnson  


41 
74 
28 
69 
43 
405 

223 
120 

372 

116 
67 
26 
26 
12 
15 

149 
22 
40 
19 

275 
91 
76 
52 
46 


215 


32 
56 
18 

556 

323 

34 

37 

8 

150 
76 
34 

282 
71 

110 
90 
85 
9 
16 
86 
48 

153 
51 
34 

263 

180 
22 


190 
39 

23 
35 
47 
110 
56 
32 
20 
57 
45 


41 
58 
17 
57 
30 
364 

181 

102 

275 
80 
55 
19 
16 
8 
9 

130 
13 
31 
13 

270 
77 
61 
36 
37 


126 


16 
48 
16 

492 

271 

22 

36 

8 

102 
41 
20 

230 
44 
69 
64 
38 
7 
7 
58 
48 

107 
51 
31 

211 

101 
15 


120 
29 
13 
10 

37 
54 
37 
21 
7 
33 
35 


297 


Table  74.  —  Number  of  Full-time  Law  Enforcement  Employees,  Suburban  Counties,  October  31,  1987 — Continued 


County  by  state 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


County  by  state 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


County  by  state 


Total 

police 

employees 


Total 

officers 


INDIANA— Continued 

Uke 

Marion 

Monroe     

Porter    

Saint  Joseph 

Tippecanoe 

Tipton 

Vanderburgh 

IOWA 

Black  Hawk 

Bremer 

Dallas 

Dubuque 

Johnson  

Linn 

Polk 

Pottawattamie 

Scott 

Warren 

Woodbury 

KANSAS 

Butler 

Jefferson 

Johnson  

Sedgwick 

Shawnee 

Wyandotte 

KENTUCKY 

Boone  Police 

Department 

Boone 

Bourbon 

Boyd 

Bullitt 

Bullitt  Police 

Department 

Campbell  Police 

Department 

Carter        

Christian    

Christian  Police 

Department 

Clark 

Daviess 

Greenup  

Henderson 

Jefferson  Police 

Department 

Jessamine 

Kenton  Police 

Department 

Oldham  

Oldham  Police 

Department 

Scott  

Scott  Police  Department 
Shelby 
Woodford 
Woodford  Police 

Department 

LOUISIANA 

Ascension 

Bossier 

Caddo 

Calcasieu 

East  Baton  Rouge 


323 

683 
55 
83 

158 
70 
17 

129 


74 

II 

18 

40 

54 

118 

161 

53 

106 

25 

77 


34 
23 
193 
220 
107 
89 


25 
10 
14 

507 


113 
94 

358 
314 
535 


185 
491 

55 

38 
117 

32 
6 

99 


49 
10 
10 
34 
36 
83 
124 
30 
38 
13 
29 


32 
21 
160 
133 
85 
71 


33 

31 

17 

14 

7 

7 

15 

10 

14 

12 

16 
5 
14 

398 


110 
91 

358 
314 
535 


138 
192 

45 
41 
38 
11 
30 


109 


LOUISIANA— 
Continued 

Jefferson 

Lafayette 

Lafourche 

Livingston 

Ouachita 

Rapides        

Saint  Charles 

Saint  Martin   

Saint  Tammany 

Terrebonne 

West  Baton  Rouge  .. 

MAINE 

Androscoggin 

Cumberland 

MARYLAND 

Allegany 

Allegany  Investigator 
Anne  Arundel 
Anne  Arundel  Police 

Department 
Baltimore 
Baltimore  Police 

Department 

Calvert 

Carroll 

Cecil 

Charles 

Frederick 

Harford   

Howard 

Howard  Police 

Department 

Montgomery 

Montgomery  Police 

Department  

Prince  Georges 

Prince  Georges  Police 

Department 

Queen  Anne's 

Washington 

MICHIGAN 

Bay 

Berrien 

Calhoun  

Clinton  

Eaton 

Genesee   

Ingham 

Jackson     

Kalamazoo 

Kent        

Lapeer      

Livingston 

Macomb 

Midland       

Monroe 

Muskegon 

Oakland    

Ottawa    

Saginaw  

Saint  Clair. 

Washtenaw 

Wayne     


1.110 
401 
164 
111 
204 
201 
175 

62 
237 
190 

52 


17 
10 

28 

657 
62 

1,640 
23 
24 
26 
133 
52 
201 
26 

278 
86 

977 
187 

1,239 

15 

115 


44 
156 

65 

38 
104 
132 
167 

99 
156 
316 

48 

83 
291 

53 
125 

56 
493 
100 
121 

89 
241 
809 


725 
400 
144 
109 
204 
154 
102 

62 
237 
190 

51 


16 

1 
28 

494 
45 

1,475 
21 
22 
22 

115 
46 

201 
22 

223 
79 

783 
146 

933 
15 
42 


385 

1 

20 

2 

47 
73 


163 
17 

165 
2 
2 
4 
18 
6 


194 

41 


306 


73 


38 

6 

121 

35 

53 

12 

21 

17 

67 

37 

102 

30 

143 

24 

68 

31 

120 

36 

258 

58 

40 

8 

54 

29 

156 

135 

37 

16 

86 

39 

51 

5 

317 

176 

67 

33 

89 

32 

54 

35 

142 

99 

603 

206 

MINNESOTA 

Anoka   

Benton  

Carver 

Chisago 

Clay     

Dakota 

Hennepin 

Isanti       

Olmsted 

Ramsey 

Saint  Louis 

Scott  

Sherburne  

Steams  

Washington 

Wnghl  

MISSISSIPPI 

Harrison 

Hinds    

Jackson  

MISSOURI 

Boone      

Buchanan 

Cass 

Clay     

Franklin 

Greene 

Jasper  , 

Lafayette 

Platte    

Ray  

Saint  Louis  Police 
Department 

MONTANA 

Cascade 
Yellowstone 

NEBRASKA 

Dakota 

Douglas 

Lancaster 

Sarpy 

Washington 

NEVADA 

Washoe 

NEW  JERSEY 

Atlantic 

Atlantic  Prosecutor 

Bergen  

Bergen  Police 
Department 
Bergen  Prosecutor 

Burlington 

Burlington  Prosecutor 

Camden 

Camden  Prosecutor 

Cape  May       

Cape  May  Prosecutor.. 

Cumberland  

Cumberland  Prosecutor 
Essex      


127 
18 
54 
38 
32 
86 

448 
29 
60 

261 

155 
81 
31 
91 
95 
60 


110 
112 
118 


722 


360 


107 
137 
333 

110 
162 
212 

86 
379 
163 
118 

30 
150 

28 
430 


59 
11 
35 
26 
15 
52 

257 
12 
39 

219 
92 
29 
17 
42 
62 
55 


110 
112 
95 


72 

68 

59 

53 

31 

26 

98 

71 

67 

60 

92 

92 

61 

54 

23 

16 

40 

35 

16 

8 

506 


15 

5 

35 

94 

70 

53 

85 

62 

14 

6 

300 


82 

59 

293 

88 
80 

171 
34 

285 

120 
92 
II 

134 
7 

376 


298 


Table  74.  —  Number  of  Full-time  Law  Enforcement  Employees,  Suburban  Counties,  October  31,  1987 — Continued 


County  by  state 


Total 

police 

employees 


Total 

Total 

officers 

civilians 

113 

5 

239 

100 

127 

57 

38 

24 

129 

29 

79 

16 

88 

127 

14 

6 

19 

12 

78 

16 

60 

34 

134 

46 

101 

73 

192 

19 

85 

112 

159 

57 

73 

41 

69 

47 

62 

28 

320 

70 

91 

38 

52 

11 

7 

11 

85 

31 

55 

30 

13 

4 

23 

9 

112 

20 

111 

91 

11 

2 

16 

14 

189 

108 

56 

42 

31 

16 

43 

13 

33 

8 

97 

21 

326 

95 

38 

4 

13 

6 

237 

124 

149 

11 

83 

10 

47 

20 

62 

2 

51 

11 

38 

22 

48 

6 

47 

19 

16 

8 

151 

104 

37 

T 

56 

4 

21 

6 

41 

6 

275 

45 

59 

20 

14 

10 

138 

12 

36 

17 

84 

82 

3 

County  by  state 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


County  by  state 


Total 

police 

employees 


Total 
officers 


NEW  JERSEY— 
Continued 

Essex  Police 

Depailment 

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 

Bernalillo 

Dona  Ana 

Santa  Fe 

NEW  YORK 

Broome  

Chemung 

Dutchess 

Erie 

Livingston 

Madison 

Monroe 

Niagara 

Oneida 

Ontario 

Orange 

Oswego 

Rensselaer 

Rockland 

Saratoga 

Schenectady 
Suffolk 

Tioga  

Warren 

Washington 

Wayne  

Westchester 

NORTH  CAROLINA 

Alamance 

Alexander 

Buncombe 

Burke       

Cabarrus 

Catawba 


118 
339 
184 
62 
158 

95 

215 

20 

31 

94 

94 

180 

174 

211 

197 

216 

114 

116 

90 

390 

129 

63 

18 

116 

85 

17 

32 

132 

202 

13 

30 


297 
98 
47 


56 
41 

118 

421 

42 

19 

361 

160 

93 

67 

64 

62 

60 

54 

66 

24 

255 

39 

60 

27 

47 

320 


79 
24 
150 
53 
84 
85 


NORTH  CAROLINA- 
Continued 

Cumberland 

Davidson 

Davie  

Durham 

Forsyth 

Franklin 

Gaston 

Guilford 

Lincoln  

Mecklenburg 

New  Hanover 

Onslow         

Orange 

Randolph.. 

Rowan 

Stokes 

Union   

Wake 
Yadkin 

NORTH  DAKOTA 

Burleigh      .. 

Cass     

Grand  Forks 

Morton    

OHIO 

Allen     

Auglaize 

Belmont 

Butler 

Clark  

Clermont 

Delaware 

Fairfield 

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 


263 
96 

26 
127 
193 
28 
89 
251 
37 
174 
153 
99 
70 
71 
86 
33 
60 
239 
25 


80 
30 
32 
99 
125 
130 
41 
61 
551 
26 
41 
79 
741 
36 
73 
112 
125 
334 
22 
67 
49 
248 
38 
57 
153 
46 
28 
70 
38 
54 


26 
83 
43 
20 
18 
11 
11 
151 
20 
21 
19 


216 
62 
23 
99 

184 
14 
80 

212 
29 

143 

118 
66 
61 
58 
72 
26 
47 

167 
19 


52 
28 
20 
82 

114 
53 
35 
52 

437 
16 
21 
67 

660 
26 
35 
91 
47 

222 
17 
56 
32 

173 
34 
39 
76 
22 
23 
48 
15 
52 


28 

2 
12 
17 
11 
77 

6 

9 
114 
10 
20 
12 
81 
10 
38 
21 
78 
112 

5 
II 
17 
75 

4 
18 
77 
24 

5 
22 
23 

2 


OKLAHOMA— 

Continued 

Sequoyah  

Tulsa 

Wagoner 

OREGON 

Clackamas 

Jackson 

Lane  

Marion 

Multnomah 

Polk  

Washington 

Yamhill 

PENNSYLVANIA 

Allegheny  Police 

Department 

Allegheny 

Beaver  

Centre 

Chester  Detective 

Cumberland 

Delaware     

Montgomery  Detective 
Washington 
Westmoreland  Detective 

SOUTH  CAROLINA 

Aiken 

Anderson 

Berkeley 

Charleston  Police 
Department 

Dorchester 

Florence 

Greenville 

Lexington 

Pickens  

Richland 

Spartanburg 

York 

SOUTH  DAKOTA 

Minnehaha 

Pennington 

TENNESSEE 

Anderson 

Carter 

Dickson 

Grainger 

Hamilton 

Jefferson  

Knox 

Madison 

Marion 

Montgomery 

Robertson    

Rutherford 

Sevier 

Shelby 

Sullivan 

Sumner 

Unicoi 

Union 

Williamson 


9 

220 

10 


133 
57 
87 
75 

163 
15 

111 
35 


260 
140 

17 
10 
18 
15 
27 
32 
19 
13 


9 

134 

5 


106 
41 
59 
59 
98 
11 
85 
28 


220 
119 
13 
9 
16 
15 
25 
20 
14 
10 


98 

76 

92 

72 

63 

44 

219 

163 

62 

42 

68 

55 

257 

219 

162 

111 

60 

53 

251 

212 

168 

159 

81 

60 

49 

42 

33 

29 

38 

20 

13 

8 

222 

176 

25 

13 

388 

152 

46 

46 

24 

14 

96 

86 

41 

32 

75 

39 

41 

34 

.017 

405 

164 

161 

68 

39 

26 

16 

11 

5 

46 

39 

299 


Table  74. Number  of  Full-time  Law  Enforcement  Employees,  Suburban  Counties,  October  31,  1987 — Continued 


County  by  slate 


Total 

police 
employees 


Total 
officers 


Total 

civilians 


County  by  stale 


Total 

police 

employees 


Tolal 

Total 

ofTicers 

civilians 

91 

22 

338 

223 

67 

22 

37 

47 

58 

9 

31 

3 

34 

6 

48 

3 

6 

6 

244 

61 

30 

8 

832 

253 

8 

3 

39 

7 

13 

3 

8 

4 

73 

9 

337 

123 

35 

3 

126 

31 

10 

6 

62 

11 

11 

4 

33 

7 

251 

91 

139 

35 

29 

7 

53 

3 

39 

8 

53 

6 

31 

10 

93 

23 

14 

9 

512 

183 

62 

12 

172 

48 

County  by  state 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


TEXAS 

Bell 

Bexar 

Bowie 

Brazoria 

Brazos  

Cameron 

Collin 

Comal 

Coryell 

Dallas 

Denton 

Ector 

Ellis 

El  Paso 
Fort  Bend 
Galveston 
Grayson 

Gregg 

Guadalupe 

Hardin 

Harris 

Harrison 

Hays  

Hidalgo    

Jefferson 

Johnson  

Kaufman 

Liberty 

Lubbock    

McLennan 

Midland    

Montgomery 

Nueces 

Orange 

Parker  

Potter 

Randall 

Rockwall 

San  Patricio....— 

Smith        i. 

Tarrant 

Taylor   

Tom  Green 

Travis 

Victoria 

Waller 

Webb 

Wichita     

Williamson 


141 

793 

30 

187 

84 

184 

137 

71 

19 

1,260 

162 

101 

74 

445 

167 

204 

63 

90 

27 

27 

1,764 

39 

39 

241 

188 

56 

39 

52 

128 

130 

81 

280 

193 

79 

41 

135 

55 

21 

48 

136 

667 

86 

60 

463 

70 

29 

290 

88 

77 


51 
480 
27 
82 
24 
38 
68 
28 


90 

313 

3 

105 

60 

146 

69 

43 

11 


436 

824 

74 

88 

56 

45 

24 

50 

172 

273 

132 

35 

169 

35 

50 

13 

52 

38 

18 

9 

15 

12 

1,138 

626 

25 

14 

26 

13 

113 

128 

62 

126 

22 

34 

18 

21 

38 

14 

75 

53 

45 

85 

58 

23 

210 

70 

120 

73 

42 

37 

25 

16 

93 

42 

28 

27 

12 

9 

32 

16 

45 

91 

158 

509 

55 

31 

53 

7 

130 

333 

29 

41 

10 

19 

118 

172 

30 

58 

42 

35 

UTAH 

Davis 

Salt  Lake 

Utah 

Weber 

VIRGINIA 

Albemarle  Police 

Department 

Amherst  

Botetourt 

Campbell 

Charles  City 
Chesterfield  Police 

Department 
Dinwiddle 
Fairfax  Police 

Department 
Fluvanna 

Gloucester  

Goochland 

Greene     

Hanover 

Henrico  Police 

Department 
James  City  Police 

Department 

Loudoun    

New  Kent 

Pittsylvania 

Powhatan 

Prince  George    

Pnnce  William  Police 

Department 
Roanoke 
Scott 
Stafford 

Washington 

York         

WASHINGTON 

Benton 

Clark 

Franklin  

King  

Kitsap  

Pierce  


113 

561 

89 

84 


67 
34 
40 
51 
12 

305 
38 

1.085 
11 
46 
16 
12 
82 

460 

38 
157 
16 
73 
15 
40 

342 
174 
36 
56 
47 
59 


41 
116 

23 
695 

74 
220 


WASHINGTON— 

Continued 

Snohomish 

Spokane 

Thurston 

Whatcom 

Yakima 

WEST  VIRGINIA 

Brooke 

Cabell 

Hancock 

Kanawha 

Marshall 

Mineral 

Ohio    

Putnam 

Wayne 

Wood  

WISCONSIN 

Brown     

Calumet 

Chippewa 

Dane      

Eau  Claire 

Kenosha  

Marathon 

Milwaukee    

Outagamie 

Ozaukee 

Racine 

Saint  Croix 

Sheboygan  

Washington 

Waukesha 

Winnebago   

WYOMING 

Laramie 

Natrona 


185 
205 
84 
44 
92 


24 
71 
25 
115 
29 
13 
28 
17 
22 
54 


155 
29 
30 

251 
52 

137 
85 

548 
90 
58 

178 
33 

113 
79 

236 
97 


133 

141 

62 

34 

67 


12 
32 
17 
51 
17 
4 
18 
15 
11 
28 


116 
20 
20 

207 
44 
86 
59 

425 
49 
43 

158 
33 
70 
66 

136 
77 


69 
63 


52 
64 
22 
10 
25 


12 
39 

8 
64 
12 

9 
10 

2 
11 
26 


39 

9 

IC 

44 

8 

51 

26 

123 

41 

15 

2C 

4; 

i; 

10( 
2( 


300 


'able  75.  —  Number  of  Full-time  Law  Enforcement  Employees,  Rural  Counties,  October  31,   1987 


County  by  state 


Total 

police 

employees 


Total 

Total 

officei^ 

civilians 

8 

5 

5 

1 

13 

9 

8 

9 

10 

12 

5 

11 

9 

5 

4 

7 

4 

4 

8 

10 

6 

9 

9 

5 

6 

41 

5 

35 

4 

13 

7 

16 

13 

7 

4 

9 

8 

5 

7 

7 

7 

5 

4 

4 

4 

17 

13 

13 

6 

25 

27 

16 

11 

4 

10 

10 

10 

8 

8 

7 

7 

20 

15 

10 

12 

31 

24 

4 

1 

5 

5 

7 

6 

6 

6 

5 

1 

19 

19 

13 

6 

7 

5 

10 

3 

19 

11 

61 

72 

79 

27 

70 

39 

13 

9 

12 

9 

28 

10 

43 

19 

34 

26 

103 

104 

17 

15 

59 

67 

8 

6 

8 

14 

7 

19 

18 

8 

7 

4 

4 

6 

7 

9 

8 

7 

9 

10 

5 

4 

17 

5 

i 

4 

County  by  stale 


Total 

police 

employees 


Total 

officers 


Total 
civilians 


County  by  state 


Total 

police 

employees 


Total 

officers 


Total 

civilians 


ALABAMA 


Jarbour 

iutler 

Chambers 

herokee 

Chilton 

I^hoctaw  .... 

larke 

I^lay 

lebume 

offee 

'oosa 

!ovington 
Trenshaw 

ullman 
Dallas 
De  Kalb 
Escambia 

"ayette 

ranklin 

jeneva  

jreene 

-iale 

^en^y 

ackson  

^wrence 
^e 

limestone  . 
^owndes    -. 

vlacon 

vlarengo .... 

vlarion 

vlarshall    .. 

vlonroe 

viorgan 
*erry 

'ickens 

-ike 

Randolph-.. 
iumter 
Talladega 
irallapoosa . 

kVilcox 

'iWinston 


ARIZONA 


Apache 

Zochise 

'oconino 

Tila 

irahatn 

rreenlee  

Lapaz 

vlohave 

^Iavajo 

Pinal 

Santa  Cruz. 
Vavapai    


ARKANSAS 


Arkansas 
Ashley  ,    .. 

Baxter 

Benton 

Boone 

Bradley 

Calhoun.... 

Carroll 

Chicot 
Clark 

Clay     

Cleburne... 
Cleveland  . 


30 
133 
106 

109 
22 
21 
38 
62 
60 

207 
32 

126 


ARKANSAS— 

Continued 

Columbia 

Conway 

Craighead 

Cross 

Dallas 

Desha 

Drew 

Franklm    

Fulton       

Garland  

Grant 

Greene 

Hempstead 

Hot  Spnng 

Howard 

Independence 

Izard 

Jackson    

Johnson 

Lafayette 

Lawrence 

Lee 

Lincoln 

Little  River 

Logan 

Madison  .   .. 

Manon  

Mississippi 

Monroe 

Montgomery 

Nevada 

Newton 

Ouachita  

Perry         

Phillips      

Pike  

Poinsett        

Polk 

Pope 

Prairie     

Randolph 

Saint  Francis 

Scott 

Searcy 

Sevier 

Sharp 

Stone 

Union      

Van  Buren 

White      

Woodruff 

Yell         

CALIFORNIA 

Alpine  

Amador 

Calaveras  

Colusa  . 

Del  Norte 

Glenn 

Humboldt  

Imperial     

Inyo  

Kings 

Lake         

Lassen     

Madera 

Mariposa 

Mendocino 

Modoc 

Mono 

Nevada 


14 
48 
43 
36 
39 
49 
143 
185 
49 
91 
80 
31 
58 
24 
91 
17 
22 
100 


II 
32 
33 
27 
20 
24 
74 
113 
38 
66 
57 
21 
42 
22 
71 
12 
20 
75 


CALIFORNIA— 
Continued 


Plumas 

San  Benito 

San  Luis  Obispo  . 

Sierra    

Siskiyou 

Tehama 

Trinity  

Tuolumne 


COLORADO 


Alamosa 

Archuleta    ... 

Baca 

Bent    

Chaffee 

Cheyenne 

Clear  Creek 

Conejos 

Costilla 

Crowley 

Custer 

Delta 

Dolores 

Eagle 

Elbert 

Fremont 

Garfield 

Gilpin 

Grand    

Gunnison 

Hinsdale 

Huerfano 

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 


51 
23 
214 
13 
44 
62 
45 
67 


31 
14 

8 

7 
20 
10 
29 
II 

5 

3 

3 
37 

8 
50 
21 
33 
14 
10 
29 
13 

3 
16 

2 
10 
52 
15 
15 
10 
20 
120 

3 
29 
27 
29 
36 
16 

3 
19 

3 
33 

6 
I 

15 
31 

9 

4 


33 
19 
Ml 
9 
42 
44 
35 
49 


6 

3 

39 

35 

28 

14 

12 

7 

6 

5 

32 

14 

16 

8 

214 

131 

163 

98 

94 

72 

62 

46 

25 

16 

301 


Table  75.  —  Number  of  Full-time  Law  Enforcement  Employees,  Rural  Counties,  October  31,  1987 — Continued 


County  by  stale 


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 


FLORIDA— Continued 

Flagler 

Franklin 

Gilchrist 

Glades 

Gulf 

Hamilton 

Hardee 

Hendry 

Highlands 

Holmes 

Indian  River 

Jackson 

Jefferson 

Lafayette 

Lake 

Levy 

Liberty 

Madison 

Monroe 

Okeechobee 

Putnam 

Sumter 

Suwannee 

Taylor 

Union 

Wakulla 

Walton 

Washington 

GEORGIA 

Applmg 

Atkinson 

Bacon  

Banks 

Bartow 

Ben  Hill 

Berrien 

Brantley 

Brooks 

Bryan 

Bulloch 

Calhoun 

Candler 

Carroll 

Charlton 

Chattooga 

Clay 

Clinch 

Coffee 

Colquitt 

Cook 

Crawford 

Crisp 

Dawson 

Decatur 

Dodge 

Dooly 

Early 

Elbert 

Emanuel 

Fannin 

Floyd  Police 

Department 

Franklin 

Gilmer 

Gilmer  Police 

Department 

Glynn  Police 

Department 

Gordon 

Grady 

Greene 


53 
31 

22 

31 

26 

46 

54 

87 

139 

23 

185 

52 

24 

10 

222 

32 

14 

29 

288 

117 

130 

59 

31 

31 

17 

32 

61 

34 


105 
36 

18 
13 


31 
17 

9 
14 
12 
32 
34 
40 
61 

8 
113 
20 

9 

5 
99 
27 

6 
26 
135 
38 
62 
32 
28 
16 

6 
17 
32 
13 


22 

14 

13 

17 

14 

14 

20 

47 

78 

15 

72 

32 

15 

5 

123 

5 

8 

3 

153 

79 

68 

27 

3 

15 
11 
15 
29 
21 


GEORGIA— Continued 

Greene  Police 

Department 

Hall         

Hancock 

Haralson 

Harris 

Hart 

Heard 

Irwin 

Jasper  

Jeff  Davis 

Jenkins 

Johnson  

Lamar 

Lanier 

Laurens  

Lincoln 

Lowndes 

Lumpkin 

Macon 

Marion  

Mcintosh 

Miller    

Mitchell  

Montgomery 

Murray    

Oglethorpe 

Pickens  

Pierce  

Pike 

Polk   

Polk  Police  Depariment 

Pulaski  

Putnam 

Quitman 

Rabun 

Schley 

Seminole 

Stephens 

Stewart    

Sumter 

Taliaferro 

Tattnall 

Telfair 

Thomas 

Tift 

Toombs 

Towns    .,,. 

Treutlen 

Troup  

Turner 

Twiggs 

Union 

Upson 

Ware 

Ware  Police 

Department 

Wayne 

Webster 

Wheeler 

White 

Whitfield 

Wilcox 

Wilkes 

Wilkinson 

Worth 


7 

135 

8 

30 

26 

19 

5 

5 

II 

8 

5 

6 

II 

8 

25 

8 

89 

13 

9 

6 

17 

9 

11 

7 

22 

II 

19 

9 

8 

12 

18 

10 

33 

2 

13 

2 

9 

14 

6 

24 

2 

12 

II 

33 

21 

10 

9 

8 

41 

4 

8 

6 

19 

38 

5 

19 
3 
3 

13 
86 
9 
9 
10 
14 


6 
126 

8 
27 
17 
14 
5 
5 
7 
7 
3 
5 
II 
5 

19 

4 

51 

II 


2 

4 

12 

5 

9 

11 

3 

4 

18 

4 

7 

4 

10 

9 

5 

4 

6 

2 

5 

7 

13 

5 

4 

6 

16 

17 

2 

13 

2 

6 

3 

12 

2 

2 

4 

19 

5 

2 

7 

5 

6 

5 

23 

10 

18 

3 

10 

5 

4 

4 

4 

39 

2 

4 

5 

3 

5 

1 

19 

32 

6 

3 

2 

19 

2 

1 

2 

1 

8 

5 

47 

39 

4 

5 

7 

2 

7 

3 

8 

6 

HAWAII 

Hawaii  Police 

Department 
Kauai  Police 

Department 
Maui  Police 

Department 

IDAHO 

Adams 

Bannock  

Bear  Lake 

Benewah 

Bingham 

Blaine 

Boise     

Bonner 

Bonneville 

Boundary 

Butte 

Camas 

Canyon 

Canbou 

Cassia    

Clark     

Clearwater 

Custer 

Elmore 

Franklin 

Fremont 

Gem      

Gooding 

Idaho    

Jefferson 

Jerome 

Kootenai 

Latah     

Lewis 

Madison 

Minidoka 

Nez  Perce 

Oneida 

Owyhee 

Payette 

Power    

Shoshone  

Teton 

Twin  Falls 

Valley  

Washington 

ILLINOIS 

Adams 

Alexander 

Bond 

Brown 

Bureau  

Calhoun 

Carroll 

Cass  

Christian 

Clark 

Clay 

Coles       

Crawford 

Cumberland 
De  Kalb 
De  Wilt 
Douglas 
Edgar 

Edwards 

Effingham 

Fayelle   


180 
147 
290 


9 
58 

9 
II 
32 
21 

8 
40 
62 
16 

3 

3 
76 
10 
39 

5 
24 
11 
20 

8 

17 
17 
14 
27 
18 
16 
106 
30 
10 
17 
24 
31 

9 
12 
25 
17 
27 

7 
42 
21 
12 


302 


Table  75.  —  Number  of  Full-time  Law  Enforcement  Employees,  Rural  Counties,  October  31,  1987 — Continued 


County  by  state 


Total 

police 

employees 


Total 
officers 


Total 

civilians 


County  by  state 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


County  by  state 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


ILLINOIS— Continued 


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 

IPerry 

Piatt 

Pike 

Pope 

Pulaski 
Putnam 
Randolph 
Richland 

Salme 

Schuyler 

Scott 

Shelby 

Stark 

Stephenson.... 

Union 

Vermilion 

Wabash  

Warren    

Washington  .. 

Wayne 

White 
Whiteside 
Williamson  ... 


INDIANA 

Adams 
Benton 

Blackford 

Brown 

Cass 

Daviess 

Decatur 

Dubois 

Fountain 

Franklin  

Gibson       

Grant 

Jackson  

Jasper  

Jefferson 

Jennings 


INDIANA— Continued 

Knox    , 

Lagrange 

La  Porte 

Lawrence 

Marshall , 

Martin  

Montgomery 

Newton 

Noble 

Ohio 

Parke 

Pike 

Pulaski 

Ripley 
Rush 

Starke    

Steuben 

Union 

Wabash 

Washington 

Wayne  

IOWA 

Adair     

Adams 

Allamakee 

Appanoose  

Audubon   

Benton 

Boone 

Buchanan 

Buena  Vista 

Butler  

Calhoun 

Carroll  

Cass 

Cedar 

Cerro  Gordo 
Cherokee 

Chickasaw 

Clarke 

Clay 

Clayton 

Clinton   

Crawford 

Davis    

Decatur 

Delaware 

Des  Moines 

Dickinson 

Emmet 

Fayette 

Floyd 

Franklin 

Fremont 

Greene 

Grundy 

Guthrie 

Hamilton 

Hancock 

Hardin 

Harrison 

Henry 

Howard 

Humboldt 
Ida 
Iowa 
Jackson 

Jasper       

Jefferson 

Jones      

Keokuk  

Kossuth 


19 
22 
103 
23 
28 

7 
18 
18 
24 

4 
13 

9 
15 
14 
21 
19 
30 
11 
25 
17 
28 


IOWA— Continued 

Lee 

Louisa 

Lucas 

Lyon 

Madison 

Mahaska 

Marion 

Marshall 

Mills 

Mitchell 

Monona 

Monroe 

Montgomery 

Muscatine 

O'Brien 

Osceola 

Page 

Palo  Alto 

Plymouth 

Pocahontas 

Poweshiek 

Ringgold 

Sac 

Shelby 

Sioux  

Story 

Tama 

Taylor 

Union 

Van  Buren 

Wapello 

Washington 

Wayne 

Webster 

Winnebago 

Winneshiek 

Worth 

Wnght 

KANSAS 

Anderson 

Bourbon 

Chase 

Chautauqua 

Cherokee 

Cheyenne 

Clark 

Coffey 

Comanche 

Cowley 

Decatur 

Doniphan 

Edwards 

Elk 

Ellis 

Finney 

Franklin 

Gove 

Graham 

Grant 

Gray 

Hamilton 

Harvey 

Haskell 

Jackson 

Jewell 

Kingman 

Kiowa 

Labette 

Lane    

Lincoln , 

Linn , 

Logan , 


27 

12 

11 

7 

9 

3 

10 

7 

9 

5 

14 

8 

17 

9 

16 

6 

14 

5 

7 

6 

11 

5 

5 

4 

14 

5 

21 

16 

13 

7 

12 

9 

10 

7 

6 

5 

14 

7 

9 

5 

10 

6 

8 

2 

9 

6 

6 

5 

16 

10 

34 

24 

14 

9 

8 

4 

11 

3 

8 

4 

14 

6 

25 

12 

7 

3 

30 

14 

7 

4 

11 

9 

10 

5 

6 

5 

303 


Table  75.  —  Number  of  Full-time  Law  Enforcement  Employees,  Rural  Counties,  October  31,  1987 — Continued 


County  by  slate 


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 


KANSAS— Continued 

Lyon 

Marion 

Marshall 

McPherson 

Meade 

Mitchell 

Morris 

Morton 

Nemaha 

Neosho 

Norton 

Osage 

Ottawa 

Pawnee 

Pottawatomie 

Pratt 

Reno 

Republic 

Rice 

Riley  Police 

Department 

Russell 

Saline 

ScotI 

Seward 

Sherman 

Smith 

Stafford 

Stanton  

Sumner 

Thomas 

Trego 

Wallace 

Washington 

Wichita 

Wilson 

KENTUCKY 

Adair 

Allen 

Anderson 

Anderson  Patrol 

Ballard 

Barren 

Bath 

Bell 

Boyle 

Bracken  

Breathitt 

Breckinridge 

Butler 

Caldwell 

Calloway 

Carlisle 

Carroll 

Casey 

Clay 

Clinton 

Crittenden 

Cumberland 

Edmonson 

Elliott 

Estill 

Fleming 

Floyd 

Franklin 

Fulton 

Gallatin 

Garrard 

Grant 

Graves 

Grayson 

Green 


27 
9 

11 

19 
9 
4 
5 
6 

10 

17 
8 

18 
9 
6 

17 
9 

51 
8 

12 

103 

16 

39 

3 

14 
II 
7 
8 
9 
14 
7 
7 
2 


13 


KENTUCKV- 
Continued 

Hancock 

Hardin 

Harlan 

Harrison 

Hart 

Henry  

Hickman 

Hopkins 

Jackson     

Johnson  

Knott 

Knox 

Larue 

Laurel 

Lawrence 

Leslie 

Letcher 

Lewis 

Lincoln  

Livingston 

Logan  

Lyon 

Lyon  Police 

Department 

Madison      

Magoffin 

Marion 

Marshall    

Martin        

Mason  

McCracken 

McCracken  Police 

Department 

McCreary 

McLean 

Meade 

Menifee 

Mercer 

Metcalfe 

Monroe      

Montgomery 

Morgan      

Muhlenberg 

Nelson 

Nelson  Police 

Department 

Nicholas  

Ohio 

Owen 

Owsley 

Pendleton 

Perry 

Pike 

Powell 

Pulaski 

Robertson 

Rockcastle 

Rowan 

Russell 

Simpson 

Spencer 

Taylor 

Taylor  Patrol 

Todd 

Trigg 

Trimble 

Union 

Warren 

Washington , 

Wayne 

Webster 

Whitley 

Wolfe 


1 

3 

4 

4 

1 

2 

4 

3 

4 

8 
1 

1 

1 
4 

1 
2 

4 

3 

5 

3 

2 

2 

11 

36 

2 

3 

1 

9 

7 

6 

3 

3 

3 

4 

2 

2 

4 

4 

3 

4 

3 

4 

2 

?? 

2 

1 

4 

2 

5 

3 

3 

1 

7 

LOUISIANA 

Acadia 

Allen  

Assumption 

Avoyelles 

Beauregard  

Caldwell 

Claiborne 

Evangeline 

Grant 

Iberia 

Iberville 

Jackson 

La  Salle 

Lincoln  

Madison 

Morehouse 

Natchitoches 

Plaquemines 

Red  River 

Saint  Mary 

Tangipahoa 

Tensas 

Union       

Vermilion 

Washington 
West  Carroll 

MAINE 

Aroostook 

Franklin 

Hancock 

Kennebec 

Knox 

Lincoln  

Oxford    

Penobscotl 

Piscataquis 

Sagadahoc 

Somerset 

Waldo      

Washington 

York       

MARYLAND 

Caroline 

Dorchester 

Garrett 

Kent 

Saint  Mary's 

Somerset    

Talbot     

Wicomico 

Worcester 

MICHIGAN 

Alcona 

Alger 

Allegan 

Alpena 

Antrim 

Arenac 

Baraga  

Barry.. 

Benzie 

Branch 

Cass 

Charlevoix 

Cheboygan 

Chippewa 

Clare 

Crawford 


75 
38 
44 

125 
51 
22 
19 
76 
30 
98 

136 
30 
44 
30 
17 
42 
49 

141 
37 

111 

193 
17 
24 
75 
62 
17 


74 
36 
35 

125 
51 
22 
19 
76 
21 
98 
40 
30 
39 
28 
17 
42 
49 

141 
37 

111 

193 
17 
24 
75 
62 
17 


11 

10 

10 

9 

13 

8 

17 

11 

12 

11 

18 

10 

15 

11 

23 

16 

11 

6 

13 

12 

10 

10 

11 

10 

15 

10 

15 

13 

41 

13 

28 

22 

24 

22 

31 

8 

53 

48 

6 

6 

10 

9 

44 

35 

23 

20 

17 

10 

12 

11 

91 

44 

19 

13 

25 

23 

14 

13 

5 

5 

37 

21 

20 

12 

42 

26 

41 

38 

20 

10 

23 

12 

18 

12 

28 

21 

24 

21 

304 


Table  75,  —  Number  of  Full-time  Law  Enforcement  Employees,  Rural  Counties,  October  31,  1987 — Continued 


County  by  slate 


Total 

police 

employees 


Total 
officers 


Total 

civilians 


County  by  slate 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


County  by  state 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


MICHIGAN— 

Continued 


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 

Presque  Isle 

Roscommon 

Saint  Joseph 

Sanilac 

Schoolcraft 

Shiawassee 

tfuscola 

Van  Buren 

Wexford  


MINNESOTA 


Aitkin 

Becker 

Beltrami 

Big  Stone 

Blue  Earth  .. 

Brown 

Carlton 

Cass , 

Chippewa 

Clearwater ... 

Cook    

Cottonwood . 
Crow  Wing  . 

Dodge 

Douglas 

Faribault 

Fillmore  

Freeborn 

Goodhue    ,..,, 

Grant        , 

Houston     ..... 

Hubbard , 

Itasca , 

Jackson  

Kanabec 


MINNESOTA— 
Continued 

Kandiyohi 

Kittson 

Koochiching     

Lac  Qui  Parle 

Lake    

La  ke-of- the- Woods 

Le  Sueur  

Lincoln  

Lyon     

Mahnomen 

Marshall 

Martin 

McLeod 

Meeker    

Mille  Lacs 

Morrison 

Mower 

Murray 

Nicollet 

Nobles 

Norman 

Otter  Tail 

Pennington 

Pine 

Pipestone 

Polk 

Pope 

Red  Lake 

Redwood 

Renville 

Rice 

Rock 

Roseau 

Sibley 

Steele 

Stevens 

Swift 

Todd 

Traverse 
Wabasha 

Wadena 

Waseca    

Watonwan 

Wilkin 

Winona 

Yellow  Medicine 

MISSISSIPPI 

Alcorn  

Benton  

Bolivar 

Carroll 

Chickasaw 

Choctaw 

Claiborne 

Clarke 

Clay 

Copiah 

Covington 

Franklin 

George 

Greene 

Holmes    

Humphereys 

Issaquena 

Itawamba 

Jasper  

Jefferson  Davis 

Jones     

Lamar     

Lauderdale 

Lawrence 


MISSISSIPPI— 
Continued 

Lee 

Lincoln  

Marshall 

Montgomery 

Neshuba 

Newton 

Noxubee 

Oktibbeha 

Pearl  River 

Perry    

Pontotoc 

Prentiss 

Quitman 

Scott      

Sharkey 

Simpson 

Sunflower 

Tate 

Tippah 

Union 

Walthall 

Warren 

Washington 

Wayne  

Webster 

Wilkinson 

Winston 

Yalobusha 

MISSOURI 

Andrew 

Atchison 

Audrain 

Barry 

Barton 

Bates 

Benton 

Bollinger 

Caldwell 

Camden 

Cape  Girardeau 

Carroll 

Cedar 

Chariton 

Cole 

Cooper 

Crawford 

Dallas 

Daviess 

De  Kalb 

Douglas 

Dunklin 

Gasconade 

Gentry 

Grundy 

Harnson 

Holt 

Howell 

Iron 

Johnson  

Knox 

Laclede 

Linn      

Livingston 

Madison 

Manes   

Marion  

McDonald 

Mercer    

Montgomery    

New  Madrid 

Nodaway 


27 

25 

9 

9 

8 

4 

7 

7 

5 

4 

10 

5 

9 

3 

13 

12 

20 

18 

3 

2 

8 

5 

10 

10 

6 

3 

9 

6 

7 

4 

14 

14 

11 

7 

10 

6 

5 

5 

7 

6 

6 

6 

47 

44 

31 

17 

6 

4 

7 

3 

6 

4 

8 

4 

9 

4 

7 

7 

11 

11 

16 

16 

9 

9 

7 

7 

6 

6 

11 

10 

6 

3 

6 

3 

20 

20 

27 

25 

10 

6 

8 

4 

8 

7 

33 

25 

5 

5 

13 

13 

7 

4 

5 

4 

5 

2 

5 

2 

15 

13 

7 

3 

3 

3 

7 

3 

9 

6 

9 

9 

15 

14 

12 

9 

13 

13 

5 

2 

14 

13 

3 

3 

8 

8 

4 

2 

3 

3 

13 

13 

12 

11 

6 

3 

12 

12 

15 

15 

13 

12 

305 


Table  75.  —  Number  of  Full-time  Law  Enforcement  Employees,  Rural  Counties,  October  31,  1987 — Continued 


County  by  state 


MISSOURI— Continued 

Oregon 

Osage 

Ozark 

Perry 

Pike 

Polk 

Pulaski 

Randolph 

Reynolds 

Ripley 

Saint  Clair 

Saint  Francois 

Sainte  Genevieve 

Saline 

Schuyler 

Scotland 

Scott 

Shelby 

Sullivan 

Vernon 

Warren 

Webster 

Worth 

MONTANA 

Beaverhead  

Big  Horn 

Blaine 

Broadwater 

Carbon 

Carter 

Chouteau 

Custer 

Daniels 

Dawson      

Deer  Lodge 

Fallon 

Fergus 

Flathead 

Gallatin 

Garfield    

Glacier 

Golden  Valley 

Granite 

Hill 

Jefferson 

Judith  Basin 

Lake 

Lewis  and  Clark 

Liberty 

Lincoln 

Madison 

McCone 

Meagher 

Mineral 

Missoula 

Musselshell 

Park       

Petroleum 

Phillips 

Pondera 

Powder  River 

Powell 

Prairie 

Ravalli 

Richland 

Roosevelt  

Rosebud 

Sanders 

Sheridan 

Silver  Bow 

Stillwater  

Sweet  Grass 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


County  by  state 


MONTANA— Continued 

Teton         

Toole 

Treasure 

Valley     

Wheatland 

Wibaux     

NEBRASKA 


Adams 

Antelope 

Arthur    

Banner 
Blame 

Boone      

Box  Butte... 
Boyd 

Brown      

Buffalo   

Burt 

Butler 

Cass 

Cedar 

Chase 

Cherry 

Cheyenne 

Clay 

Colfax 

Cuming 

Custer , 

Dawes 

Dawson , 

Deuel 

Dixon 

Dodge 

Dundy 

Fillmore , 

Frankhn   

Frontier , 

Furnas , 

Gage 

Garden 

Garfield 

Gosper 

Greeley 

Hall 

Hamilton 

Harlan 

Hayes 

Hitchcock 

Holt       

Hooker 

Howard 

Jefferson 

Johnson  

Kearney 

Keith 

Keya  Paha . 
Kimball      ... 

Knox 

Lincoln  

Logan 

Loup 

Madison 

McPherson 

Merrick 

Morrill 

Nance 

Nemaha 

Nuckolls .   . 

Otoe 

Pawnee 
Perkms 
Phelps 


Total 

police 

employees 


10 

6 

17 

10 

3 

2 

15 

8 

9 

4 

4 

3 

Total 
officers 


Total 
civilians 


18 

29 

6 

3 

3 

6 

1 
4 

4 

1 

6 

4 

8 

24 

19 

1 

13 

8 

4 

4 

4 

3 

2 

6 

2 

5 

County  by  state 


NEBRASKA— 

Continued 

Pierce 

Platte 

Polk       

Red  Willow 

Richardson 

Rock  

Saline  

Saunders 
Scotls  Bluff 

Seward  

Sheridan  

Sherman 

Sioux   

Stanton 

Thayer 

Thomas 

Thurston 

Valley  

Wayne    

Webster  

Wheeler 

York    

NEVADA 

Churchill 

Elko 

Esmeralda 

Humboldt 

Lincoln 

Lyon     

Pershing 

Storey    

NEW  HAMPSHIRE 

Belknap 

Carroll 

Cheshire 

Grafton 

Mernmack 

Sullivan 

NEW  MEXICO 

Catron  

Cibola  

Curry  

De  Baca 

Eddy 

Grant .'.. 

Guadalupe 

Harding 

Lea 

Luna 

Mora 

Roosevelt 

Sandoval 

San  Juan  

Sierra  

Socorro  

Taos    

Torrance 

Union    

Valencia 

NEW  YORK 

Allegany 

Cayuga  

Chautauqua 

Chenango  

Clinton 


Total 

police 

employees 


Total 
officers 


306 


able  75.  —  Number  of  Full-time  Law  Enforcement  Employees,  Rural  Counties,  October  31,  1987 — Continued 


County  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 


NEW  YORK- 
Continued 


NORTH  CAROLINA 


NORTH  CAROLINA- 
Continued 


Stanly 
Surry 
Swain 
Transylvania - 

Tyrrell 

Vance , 

Warren 

Washington 
Watauga 
Wayne 
Wilkes 

Wilson       

Yancey 


NORTH  DAKOTA 

Adams 
Barnes 
Benson 

Billings 

Bottineau 

Bowman    

Burke 

Cavalier 

Dickey 

Divide 

Dunn 

Eddy 

Emmons 

Foster 

Golden  Valley 

Grant 

Griggs 

Hettinger 

Kidder      

LaMoure 

Logan 

McHenry 

Mcintosh 

McKenzie 

McLean 

Mercer 

Mountrail 

Nelson 

Oliver 

Pembina 

Pierce  

Ramsey    

Ransom 

Renville 

Richland 

Rolette 

Sargent 

Sheridan 

Slope 

Stark 

Steele 

Stutsman 

Towner 

Traill 

Walsh 

Ward 

Wells 

Williams 

OHIO 


Ashland 

Ashtabula 

Champaign 

Columbiana 

Coshocton 

Crawford 


OHIO— Continued 

Darke 

Defiance 
Erie 

Fayette 

Gallia 

Hardin    

Harrison  

Henry    

Hocking         

Holmes         

Huron 

Jackson  

Logan       

Marion         

Mercer 
Monroe 
Morgan 

Morrow 

Muskingum  

Ottawa 
Perry 

Pike'  

Preble 

Putnam 

Ross 

Sandusky 

Scioto 

Shelby 

Tuscarawas       

Van  Wert     

Vinton 
Wayne 
Williams 
Wyandot 

OKLAHOMA 

Adair 

Alfalfa 

Atoka 

Beaver 

Beckham 

Blaine 

Bryan 

Caddo 

Carter 

Cherokee 
Choctaw 
Cimarron         , 

Coal  

Cotton 

Craig 

Custer 

Delaware 

Dewey 

Ellis 

Garvin 

Grady 

Grant 

Greer 

Harmon 

Harper 

Haskell 

Hughes       

Jackson  

Jefferson 

Johnston , 

Kay 

Kingfisher 

Kiowa         

Latimer   

Le  Flore 

Lincoln  

Love 


50 

21 

20 

18 

44 

27 

25 

23 

26 

24 

22 

20 

9 

8 

21 

21 

16 

10 

19 

16 

32 

20 

14 

8 

40 

34 

34 

26 

28 

24 

14 

13 

16 

10 

20 

15 

44 

32 

37 

32 

14 

5 

11 

11 

25 

20 

26 

23 

42 

38 

38 

26 

27 

22 

29 

29 

28 

21 

19 

19 

10 

5 

57 

50 

29 

23 

14 

6 

11 

5 

7 

4 

9 

5 

12 

8 

13 

13 

8 

5 

20 

6 

17 

8 

22 

21 

21 

14 

9 

4 

9 

3 

6 

4 

9 

4 

12 

6 

16 

16 

16 

10 

11 

7 

15 

7 

12 

6 

21 

13 

8 

4 

5 

4 

3 

3 

6 

3 

11 

6 

10 

9 

13 

7 

6 

3 

9 

9 

28 

10 

10 

6 

8 

4 

9 

5 

16 

8 

12 

6 

6 

6 

307 


Table  75.  —  Number  of  Full-time  Law  Enforcement  Employees,  Rural  Counties,  October  31,  1987 — Continued 


County  by  state 


Total 

police 

employees 


Total 
otTicers 


Total 
civilians 


County  by  state 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


County  by  state 


Total 

police 

employees 


Total 
officers 


OKLAHOMA— 

Continued 

Major 

Marshall 

Mayes 

McCurtain 

Mcintosh 

Murray 

Muskogee 

Noble 

Nowata 

Okfuskee 

Okmulgee 

Ottawa 

Pawnee 

Payne 

Pittsburg 

Pontotoc 

Pushmataha 

Roger  Mills 

Seminole 

Stephens  

Texas 

Tillman 

Washington 

Washita 

Woods 

Woodward 

OREGON 

Baker 

Benton  

Clatsop 

Columbia 

Coos 

Crook  

Curry 

Deschutes 

Douglas 

Gilliam 

Grant 

Harney  

Hood  River 

Jefferson 

Josephine 

Klamath 

Lake 

Lincoln 

Linn 

Malheur 

Morrow 

Sherman 

Tillamook 

Umatilla   

Union 

Wallowa 

Wasco 

Wheeler 

PENNSYLVANIA 

Clearfield 

Jefferson 

Tioga 

Warren 

SOUTH  CAROLINA 

Abbeville 

Allendale  

Bamberg 

Barnwell    

Beaufort 

Calhoun 


23 
7 
7 
7 
107 
9 


SOUTH  CAROLINA- 

Contlnued 

Cherokee 

Chester 

Chesterfield 

Clarendon 

Colleton 

Darlington 

Dillon 

Edgefield 

Fairfield 

Georgetown 

Greenwood 

Hampton 

Horry  Police 

Department 

Jasper  

Kershaw 

Lancaster 

Laurens  

Lee 

Marion 

Marlboro 

McCormick 

Newberry 

Oconee 

Orangeburg 

Saluda 

Sumter 

Union 

Williamsburg 

SOUTH  DAKOTA 

Aurora 

Bon  Homme 

Brown 

Brule 

Buffalo 

Charles  Mix 

Clark  

Clay 

Custer 

Day 

Deuel  

Edmunds 

Grant 

Haakon 

Harding 

Hughes 

Hutchinson 

Hyde 

Jackson 

Jones 

Lake 

Lawrence 

Lincoln  

Lyman 

Marshall 

Miner 

Moody 

Potter 

Spink  

Sully 

Union 

Yankton 

TENNESSEE 

Benton 

Bradley 

Carroll 

Chester 

Claiborne 

Cocke 


TENNESSEE— 
Continued 

Crockett 

Cumberland 

Decatur 

Fayette 

Fentress 

Franklin 

Gibson 

Giles 

Greene 

Hamblen 

Hancock 

Hardeman 

Hardin 

Haywood 

Henderson 

Henry 

Houston 

Humphreys 

Lauderdale 

Lawrence 

Lincoln 

McMinn 

McNairy 

Monroe 

Moore 

Morgan 

Overton 

Perry  

Roane 

Smith   

Stewart 

Trousdale 

Van  Buren 

Warren 

Weakley 

White 

TEXAS 

Anderson 

Andrews 

Angelina 

Aransas 

Archer 

Armstrong 

Atascosa 

Austin 

Bailey 

Bandera 

Bastrop 

Baylor 

Bee 

Blanco  

Borden 

Bosque 

Brewster 

Briscoe 

Brooks 

Brown 

Burleson 

Burnet  

Caldwell 

Calhoun 

Callahan 

Camp 

Carson 

Cass     

Castro 

Chambers 

Cherokee 

Childress 

Clay     

Cochran 


308 


ible  75.  —  Number  of  Full-time  Law  Enforcement  Employees,  Rural  Counties,  October  31,  1987 — Continued 


Counly  by  state 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


County  by  slate 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


County  by  state 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


TEXAS— Continued 

Knox  

Lamar 

Lamb 

Lampasas 

La  Salle 

Lavaca 

Lee  

Leon 

Limestone 

Lipscomb 

Live  Oak 

Llano 

Loving 

Lynn 

Madison 

Marion 

Martin 

Mason 

Matagorda 

Maverick 

McCulloch 

McMuIlen 

Medina 

Menard 

Milam 

Mills  

Mitchell 

Montague 

Moore 

Morris 

Motley 

Nacogdoches 

Navarro 

Newton 

Nolan 

Ochiltree 

Oldham 

Palo  Pinto 

Panola 

Parmer 

Pecos 

Polk 

Presidio 

Rains 

Reagan  

Real 

Red  River 

Reeves 

Refugio 

Roberts 

Robertson 

Runnels 

Rusk 

Sabine 

San  Augustine 

San  Jacinto 

San  Saba 

Schleicher 

Scurry 

Shackelford 

Shelby 

Sherman 

Somervell 

Starr  

Stephens  

Sterling 

Stonewall 

Sutton 

Swisher 

Terrell 

Terry 

Throckmorton 

Titus 

Trinity 

Tyler 


6 

43 
12 
13 
II 
16 
II 

9 
28 

9 
18 
20 

2 

10 
14 
12 

8 

7 
53 
14 
10 

I 
23 

8 
13 
10 
10 
13 
17 
13 

2 
42 
33 
13 
18 
18 
10 
23 
22 
II 
22 
24 
10 
17 
12 

3 

14 
126 
21 

5 

10 
10 
29 

9 
10 
20 

7 

9 
12 
13 
16 

8 

18 
49 

9 

4 

5 
13 

7 

5 
14 

7 
18 
12 
17 


8 

10 

5 

5 

11 

12 

11 

11 

5 

6 

14 

8 

20 

4 

4 

6 

7 

10 

7 

5 

2 

1 

8 

6 

13 

113 

10 

11 

4 

1 

5 

5 

5 

5 

21 

8 

4 

5 

5 

5 

10 

10 

3 

4 

4 

5 

7 

5 

4 

9 

5 

II 

3 

5 

6 

12 

40 

9 

5 

4 

3 

1 

2 

3 

5 

8 

7 

3 

2 

9 

5 

2 

5 

9 

9 

TEXAS — Continued 

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 

Garfield 

Grand 

Iron 

Juab 

Kane 

Millard 

Morgan 

Piute 

Rich 

San  Juan  

Sanpete 

Sevier 

Summit 

Tooele 

Uintah 

Wasatch  

Washington 

Wayne    

VERMONT 

Lamoille 

Orleans 

Windham 

VIRGINIA 

Accomack 

Alleghany 

Amelia 

Appomattox 

Augusta 

Bath 

Bedford 

Bland 

Brunswick 

Buchanan 

Buckingham 

Caroline   

Carroll       

Charlotte 
Clarke 

Craig 

Culpeper 


28 

15 

7 

II 

9 

12 

23 

15 

12 

21 

6 

5 

13 

9 

8 

16 

20 

9 

11 

29 

18 

23 

10 

10 

5 

26 

34 

12 

3 

21 

31 

4 

10 

11 

6 

5 

17 

3 

8 

3 

18 

10 

16 

11 

26 

21 

21 

15 

28 

16 

26 

19 

13 

13 

29 

28 

2 

2 

33 

25 

29 

27 

10 

6 

19 

19 

69 

59 

12 

12 

44 

44 

10 

10 

19 

19 

44 

33 

13 

8 

34 

27 

36 

28 

19 

15 

24 

19 

10 

5 

51 

42 

309 


Table  75.  —  Number  of  Full-time  Law  Enforcement  Employees,  Rural  Counties,  October  31,   1987 — 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 


VIRGINIA— Continued 


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    

Northampton 

Northumberland .. 
Nottoway 

Orange 

Page 

Patrick 

Prince  Edward 
Pulaski 

Rappahannock     . 
Richmond 

Rockbndge 

Rockingham 

Russell       

Shenandoah  

Smyth       

Southampton 
Spotsylvania 

Surry 

Sussex 

Tazewell 

Warren     

Westmoreland 

Wise 

Wythe 


WASHINGTON 


Adams 

Asotin  

Chelan  

Clallam    

Columbia 

Cowlitz 

Ferry 

Garfield 

Grays  Harbor 
Island 

Kittitas 

Klickitat 

Lewis 

Lincoln    

Okanogan  


WASHINGTON— 

Continued 

Pacific       

Pend  Oreille 

San  Juan  

Skagit   

Skamania 

Stevens     

Wahkiakum 

Walla  Walla 
Whitman 

WEST  VIRGINIA 

Barbour 

Berkeley 

Boone     

Braxton  

Calhoun 

Clay 

Doddridge 

Fayette    

Gilmer    

Grant     , 

Greenbrier 

Hampshire 

Hardy    

Harrison 

Jackson 

Jefferson 

Lewis     

Lincoln  

Logan  

Marion   

Mason     

McDowell 

Mercer 

Mingo  

Monongalia 

Monroe   

Morgan  

Nicholas 

Pendleton 

Pleasants 

Pocahontas 

Preston   

Raleigh  

Randolph 

Ritchie    

Roane 

Summers 

Taylor 

Tucker      

Tyler 

Upshur 

Webster 

Wetzel    

Win        

Wyoming 

WISCONSIN 

Adams     

Bayfield 

Buffalo    

Burnett  

Columbia 

Crawford  

Dodge  

Door      


29 

28 

17 

12 

12 

8 

11 

II 

40 

37 

18 

18 

55 

50 

33 

31 

WISCONSIN— 
Continued 

Dunn  

Florence 

Fond  du  Lac  

Forest 

Grant  

Green  Lake    

Iowa    

Iron       

Jackson 

Jefferson 

Juneau  

Lafayette 

Langlade 

Lincoln 

Manitowoc         

Mannette 
Marquette 

Menominee  Tribal 

Monroe 

Oconto 

Oneida 

Pepin    

Pierce  

Polk 

Price  

Richland 

Sauk      

Sawyer 

Shawano 

Taylor   

Trempealeau 

Vernon 

Vilas  

Walworth 

Waupaca 

Waushara 

Wood  

WYOMING 

Albany  

Big  Horn 

Campbell 

Carbon 

Converse 

Crook  

Fremont 

Goshen  

Hot  Spnngs     

Johnson  

Lincoln 

Niobrara 

Park  

Platte  

Shendan  

Sublette 

Sweetwater 

Teton       

Uinta  

Washakie 

Weston 

OTHER  AREAS 

Amencan  Samoa 

Guam  

Puerto  Rico 

Virgin  Islands 


23 
10 
68 
13 
37 
20 
lb 

8 
25 
66 
28 
17 
17 
28 
60 
37 
19 
16 
29 
28 
34 

9 
27 
27 
17 
23 
55 
18 
38 
18 
26 
18 
38 
112 
30 
23 
51 


194 

399 

13.778 

551 


310 


SECTION  VI 

APPENDIX  I 

TABLE  METHODOLOGY 


Designed  to  assist  the  reader,  this  appendix  explains  the 
nstruction  of  many  tabular  presentations  in  the  book.  The 
llowing  key  refers  to  the  columnar  headings  used 
roughout  the  appendix. 

ey:  A)  Column  1  shows  the  table  numbers.  Included  are 
Tables  1  through  64,  Crime  in  the  United  States- 
1987. 

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

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

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

3.  Nonreporting  agencies. 


The  tabulations  presented  in  the  publication 
employ  statistics  from  one  or  more  of  these 
participation  levels.  For  example,  Table  2  includes 
all  three  agency  reporting  levels,  but  Table  14 
presents  only  data  for  agencies  having  reported  the 
entire  year. 

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

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


311 


(I) 


(2) 
Data  Base 


(3) 
Table  Construction 


(4) 
General  Comments 


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


All  law  enforcement  agencies  in  the  UCR  Program 
(including  those  submitting  less  than  12  months  in 
1987), 


All  law  enforcement  agencies  in  the  UCR  Program 
(including  those  submitting  less  than  12  months  in 
1987). 

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 
1987). 


All   law   enforcement   agencies  submitting  complete 
reports  for  12  months  in  1987. 


All  university/college  law  enforcement  agencies  sub- 
mitting complete  reports  for  12  months  in  1987 


All   law  enforcement   agencies   submitting  complete 
reports  for  12  months  in   1987. 


The  1987  statistics  are  consistent  with  Table  2.  Pre- 
1987  crime  statistics  may  have  ^^en  updated,  and 
hence,  may  not  be  consistent  with  pnor  publica- 
tions. Crime  statistics  include  estimated  offense 
totals  for  agencies  submitting  less  than  12  months 
of  offense  reports  for  each  year.  Population  statis- 
tics represent  July  1  provisional  estimations  for 
each  year  except  April  1,  1980.  The  offense  break 
downs  are  according  to  UCR  crime  definitions 
(App.  II).  Crime  volume  statistics  are  rounded  to 
the  nearest  10  for  violent  cnme  and  the  nearest  100 
for  property  crime.  Percent  changes  and  rates  are 
computed  prior  to  rounding. 

Statistics  are  aggregated  from  individual  state  statis 
tics  as  shown  in  Table  5.  Crime  statistics  include 
estimated  offense  totals  for  agencies  submitting  less 
than  12  months  of  offense  reports.  Population 
statistics  represent  July  1,  1987,  Bureau  of  the 
Census  provisional  estimates.  The  tabular  break- 
downs are  in  accordance  with  UCR  crime  defini- 
tions (App.  II)  and  population  classifications  (App 
III). 

Regional  offense  distributions  are  computed  from 
volume  figures  as  shown  in  Table  4.  Population 
distributions  are  based  on  July  1,  1987,  Bureau  of 
the  Census  provisional  estimates. 

The  1987  statistics  are  aggregated  from  individual 
state  statistics  as  shown  in  Table  5.  Crime  statistics 
include  estimated  offense  totals  for  agencies  sub- 
mitting less  than  12  months  of  offense  reports  for 
1986  and  1987.  Population  statistics  represent 
July  1  provisional  estimates  for  1986  and  1987.  The 
offense  breakdowns  are  according  to  UCR  crime 
definitions  (App.  II). 

Crime  statistics  include  estimated  offense  totals  for 
agencies  submitting  less  than  12  months  of  offense 
reports.  Population  statistics  represent  July  1, 
1987,  Bureau  of  the  Census  provisional  estimates. 
Statistics  under  the  heading  "Area  Actually  Re- 
porting" represent  reported  offense  totals  for  agen- 
cies 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  estimated  offense  totals  for 
agencies  having  less  than  3  months  of  offense 
reports-  The  offense  breakdowns  are  according  to 
UCR  definitions  (App-  II)- 

"Cities  and  Towns"  are  defined  to  be  agencies  in 
Population  Groups  I  through  V  (App-  III).  The 
populations  are  July  1,  1987,  estimates  for  each 
agency. 

The  student  enrollment  figures,  which  are  provided  by 
the  U.S.  Department  of  Education,  were  not  avail 
able  when  this  publication  was  prepared. 


"Suburban  Counties"  are  defined  as  the  areas  covered 
by  noncity  agencies  within  an  MSA  (App.  Ill) 
Population  estimates  of  suburban  counties  are  as  of 
July   1,   1987. 


Represents  an  estimation  of  national  reported 
crime  activity  from   1978  to  1987. 


Represents  an  estimation  of  national  reported 
crime  activity  in  1987. 


Represents  the  1987  geographical  distributior 
of  estimated  Crime  Index  offenses  and  popu- 
lation. 

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  dif- 
ferences. 

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


Represents  reported  crime  activity  of  individus 
agencies  in  cities  and  towns  10,000  and  ove 
in  population.  Any  comparison  of  UCI ' 
statistics  should  take  into  consideratioi 
demographic  differences. 

Represents  reported  crime  from  those  individu 
al  university/college  law  enforcement  agen 
cies  contributing  to  the  UCR  Program 
These  agencies  are  listed  alphabetically  b; 
state.  Any  comparison  of  these  UCR  statis 
tics  should  take  into  consideration  size  o 
enrollment,  number  of  on-campus  residents 
plus  other  demographic  differences. 

Represents  crime  reported  to  individual  lav 
enforcement  agencies  in  suburban  counties 
i.e.,  the  individual  sheriffs  office,  count; 
police  department,  highway  patrol,  and/o 
state  police.  These  figures  do  not  represen 
the  county  totals  since  they  exclude  cit; 
crime  counts.  Any  comparison  of  UCF 
statistics  should  take  into  consideratioi 
demographic  differences- 


312 


(I) 


(2) 
Data  Base 


(3) 
Table  Construction 


(41 
General  Comments 


10-13 


14-17 


18,  19 


20-23 


24 


25,  26 


27,  28 


29,  30 


31,  32 


33-38 


All    law   enforcement   agencies   submitting   complete 
reports  for  12  months  in   1987. 


All  law  enforcement  agencies  submitting  complete 
reports  for  at  least  6  common  months  in  1986  and 
1987. 


All   law   enforcement   agencies  submitting  complete 
reports  for  12  months  in  1987. 


All   law   enforcement   agencies   submitting   complete 
reports  for  at  least  6  months  in  1987. 


All   law   enforcement   agencies   submitting  complete 
reports  for  at  least  6  months  in   1987. 


All  law  enforcement  agencies  in  the  UCR  Program 
(including  those  submitting  less  than  12  months  in 
1987). 


All   law   enforcement   agencies   submitting  complete 
reports  for  12  months  in  1987. 


All   law   enforcement   agencies  submitting  complete 
reports  for  12  months  in   1978  and  1987. 


All   law   enforcement    agencies   submitting   complete 
reports  for  12  months  in   1983  and  1987. 


All    law   enforcement    agencies   submitting   complete 
reports  for  12  months  in  1987. 


All   law   enforcement   agencies  submitting  complete 
reports  for  12  months  in  1987. 


"Rural  Counties"  are  those  outside  MSAs  and  whose 
jurisdictions  are  not  covered  by  city  police  agencies 
(App.  III).  Population  classifications  of  rural 
counties  are  based  on  July  1,  1987,  estimates  for 
individual  agencies. 


The  1987  cnme  trend  statistics  are  2-year  compari 
sons  based  on  1987  reported  crime  activity.  Only 
common  reported  months  for  individual  agencies 
are  included  in  1987  trend  calculations.  Popula 
tions  represent  July  1,  1987.  estimates  for  individu 
al  agencies.  The  tabular  breakdowns  are  according 
to  UCR  crime  definitions  (App.  II)  and  population 
classifications  (App.  III).  Note  that  "Suburban  and 
Nonsuburban  Cities"  are  all  municipal  agencies 
other  than  central  cities  in  MSAs. 

The  1987  crime  rates  are  the  ratios  of  the  aggregated 
1987  crime  volumes  and  the  aggregated  1987 
populations  of  the  contributing  agencies.  Popula 
lion  statistics  represent  July  1,  1987,  estimates  for 
individual  agencies.  The  tabular  breakdowns  are 
according  to  UCR  crime  definitions  (App.  II)  and 
population  classifications  (App.  III).  Note  that 
"Suburban  and  Nonsuburban  Cities"  are  all  mu- 
nicipal agencies  other  than  central  cities  in  MSAs 

Offense  total  and  value  lost  total  are  computed  for  all 
Index  offense  categories  other  than  aggravated 
assault.  Percent  distribution  is  derived  based  on 
offense  total  with  each  Index  offense.  Trend  statis- 
tics are  derived  based  on  agencies  with  at  least  6 
common  months  complete  for  1986  and  1987 

The  1987  clearance  rates  are  based  on  offense  and 
clearance  volume  totals  of  the  contributing  agen- 
cies for  1987.  Population  statistics  represent  July  1 
estimates  for  individual  agencies.  The  tabular 
breakdowns  are  according  to  UCR  crime  defini- 
tions (App.  II)  and  population  classifications  (App 
III). 

The  arrest  totals  presented  are  national  estimates 
based  on  the  arrest  statistics  of  all  law  enforcement 
agencies  in  the  UCR  Program  (including  those 
submitting  less  than  12  months).  The  "Total 
Estimated  Arrests"  statistic  is  the  sum  of  estimated 
arrest  volumes  for  each  of  the  29  offenses.  Each 
individual  arrest  total  is  the  sum  of  the  estimated 
volumes  within  each  of  the  eight  population  groups 
(App.  III).  Each  group's  estimate  is  the  reported 
volume  (as  shown  in  Table  26)  divided  by  the 
percent  of  total  group  population  reporting  (ac- 
cording to  July  I,   1987,  estimates). 

The  1987  arrest  rales  are  the  ratios,  per  100.000 
inhabitants,  of  the  aggregated  1987  reported  arrest 
statistics  and  population.  The  population  statistics 
represent  the  July  1.  1987,  estimates  for  individual 
agencies.  The  tabular  breakdowns  are  according  to 
UCR  crime  definitions  (App.  II)  and  population 
classifications/geographical  configuration  (App 
III). 

The  arrest  trends  are  the  percentage  differences 
between  1978  and  1987  arrest  volumes  aggregated 
from  all  common  agencies.  Population  statistics 
represent  July  1,  1987.  estimates. 

The  arrest  trends  are  the  percentage  differences 
between  1983  and  1987  arrest  volumes  aggregated 
from  common  agencies.  Population  statistics  repre- 
sent July   1.  1987,  estimates. 

The  arrest  trends  are  2-year  comparisons  between 
1986  and  1987  arrest  volumes  aggregated  from 
common  agencies.  Population  statistics  represent 
July   1,   1987.  estimates. 


Represents  crime  reported  to  individual  rural 
county  law  enforcement  agencies  covering 
populations  25.000  and  over.  i.e..  the  indi- 
vidual sherifTs  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  differ- 
ences. 

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


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


Aggravated  assault  is  excluded  from  Table  18. 
For  UCR  Program  purposes,  the  taking  of 
money  or  property  in  connection  with  an 
assault  is  reported  as  a  robbery. 


Slight  decrease  in  coverage  for  Table  38  due  to 
editing  procedure  and  lower  submission  of 
race  data. 


313 


(1) 


(2) 
Data  Base 


(3) 
Table  Construction 


(4) 
General  Comments 


39,  40 


41- 


45.  46 


47-50 


51,  52 


53-56 


57.  58 


59-62 


63 


64 


All  city  law  enforcement  agencies  submitting  complete 
reports  for  12  months  in   1986  and   1987. 


All  city  law  enforcement  agencies  submitting  complete 
reports  for   12  months  in   1986  and  1987. 

All  suburban  county  law  enforcement  agencies  submit- 
ting complete  reports  for  12  months  in  1986  and 
1987. 


All  suburban  county  law  enforcement  agencies  submit- 
ting complete  reports  for  12  months  in  1987. 

All  rural  county  law  enforcement  agencies  submitting 
complete  reports  for  12  months  in  1986  and  1987 


All  rural  county  law  enforcement  agencies  submitting 
complete  reports  for  12  months  in   1987, 

All  suburban  area  law  enforcement  agencies  submitting 
complete  reports  for  12  months  in  1986  and  1987. 


All  suburban  area  law  enforcement  agencies  submitting 
complete  reports  for   12  months  in   1987. 

All    law   enforcement   agencies   submitting   complete 
reports  for  12  months  in  1987. 


All    law    enforcement    agencies   submitting   complete 
reports  for  12  months  in    1987. 


The  1987  city  arrest  trends  represent  the  percentage 
differences  between  1986  and  1987  arrest  volumes 
aggregated  from  common  city  agencies.  "City 
Agencies'"  are  defined  to  be  all  agencies  within 
Population  Groups  I-VI  (App.  III). 

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

The  1987  suburban  county  arrest  trends  represent 
percentage  differences  between  1986  and  1987 
volumes  aggregated  from  contributing  agencies. 
"Suburban  Counties"  are  defined  as  the  areas 
covered  by  noncity  agencies  within  an  MSA  (App. 
Ill) 

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

The  1987  rural  county  arrest  trends  represent  percent- 
age differences  between  1986  and  1987  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.  HI). 

The  1987  suburban  area  arrest  trends  represent  per- 
centage differences  between  1986  and  1987  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). 

Arrest  totals  are  aggregated  for  individual  agencies 
within  each  state.  Population  figures  represent 
July  1  provisional  estimates  for  1987.  The  tabular 
breakdowns  are  according  to  UCR  crime  defini- 
tions (App.  II). 

Population  statistics  represent  July  1.  1987.  estimates 
for  individual  agencies.  See  Appendix  III  for 
definitions  of  the  population  classifications  pre- 
sented. 


Slight  decrease  in  coverage  for  Table  44  due  to 
editing  procedure  and  lower  submission  of 
race  data. 


Slight  decrease  in  coverage  for  Table  50  due  to 
editing  procedure  and  lower  submission  of 
race  data. 


Slight  decrease  in  coverage  for  Table  56  due  to 
editing  procedure  and  lower  submission  of 
race  data. 


Slight  decrease  in  coverage  for  Table  62  due  to 

editing  procedure  and  lower  submission  of 

race  data. 
Any  comparison  of  statistics  should  take  into 

consideration  variances  in  arrest  practices, 

particularly  for  Part  II  crimes. 


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


314 


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  homicides 
are  hmited  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  manslaughter  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  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. 

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

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

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

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


Arson.-  Any  willful  or  malicious  burning  or  attempt  to 
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  confidence  games 
and  bad  checks,  except  forgeries  and  counterfeiting. 

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

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

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

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

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

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

Drug  abuse  violations.-  State  and  local  offenses  relating 
to  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.-  Nonsupport, 
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. 


315 


Liquor  laws.-  State  or  local  liquor  law  violations,  except 
"drunkenness"  and  "driving  under  the  influence."  Federal 
violations  are  excluded. 

Drunkenness.-  Offenses  relating  to  drunkenness  or 
intoxication.  Excluded  is  "driving  under  the  influence." 

Disorderly  conduct.-  Breach  of  the  peace. 

Vagrancy.-  Vagabondage,  begging,  loitering,  etc. 

All  other  offenses.-  All  violations  of  state  or  local  laws, 
except  those  listed  above  and  traffic  offenses. 


Suspicion.-  No  specific  offense;  suspect  released  without 
formal  charges  being  placed. 

Curfew  and  loitering  laws.-  (persons  under  age 
18).- Offenses  relating  to  violations  of  local  curfew  or 
loitering  ordinances  where  such  laws  exist. 

Runaways.-  (persons  under  age  18).-  Limited  to  juveniles 
taken  into  protective  custody  under  provisions  of  local 
statutes. 


316 


MSA 

NON-MSA 

CITIES 

CENTRAL  CITIES 
50,000  AND  OVER 

OTHER 
CITIES 

SUBURBAN 
CITIES 

COUNTIES 
(Unincorporated  areas) 

SUBURBAN 
COUNTIES 

RURAL 
COUNTIES 

APPENDIX  III 
UNIFORM  CRIME  REPORTING  AREA  DEFINITIONS 


i^mmunity  Types 

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

The  MSA  concept  was  developed  to  facilitate  the  analysis 
md  dissemination  of  uniform  statistical  information  on 
netropolitan  areas.  The  primary  objective  in  establishing 
;tandard  definitions  of  these  areas  was  to  make  it  possible 
or  Federal  agencies  to  utilize  the  same  boundaries  when 
jublishing  statistical  data.  Each  MSA  is  an  integrated 
conomic  and  social  unit  with  a  recognized  large  population 
lucleus.  Detailed  criteria  followed  in  establishing  and 
iefining  MSAs  can  be  found  in  the  U.  S.  Department  of 
Commerce  publication,  State  Metropolitan  Area  Data  Book, 
986  edition. 

An  MSA  includes  a  central  city  of  at  least  50,000 
)opulation  or  an  urbanized  area  of  at  least  50,000.  The 
;ounty  containing  the  central  city  and  contiguous  counties 
laving  strong  economic  and  social  relationships  to  the 
lentral  city  and  county  are  also  included.  Counties  in  MSAs 
ire  designated  suburban  in  UCR.  An  MSA  may  cross  state 
ines. 

New  England  MSAs  are  comprised  of  cities  and  towns 
nstead  of  counties.  In  this  publication's  tabular 
jresentations.  New  England  cities  and  towns  are  assigned  to 
he  proper  MSA.  Some  counties,  however,  have  both 
uburban  and  rural  portions.  Data  for  state  police  and 
heriffs  in  those  jurisdictions  are  included  in  statistics  for 
he  rural  area. 

MSAs  made  up  approximately  77  percent  of  the  total 
United  States  population  in  1987.  Some  presentations  in  this 
50ok  refer  to  "suburban  area."  A  suburban  area  includes 
;ities   with   less   than    50,000   inhabitants   in   addition   to 

:ounties    (unincorporated    areas)    within    the    MSA.    The 

entral  cities  are,  of  course,  excluded. 

"Other  cities,"  most  of  which  are  incorporated,  are  those 
Dutside  MSAs.  They  comprised  9  percent  of  the  1987 
population  of  the  United  States. 

Rural  counties,  like  "other  cities,"  are  outside  MSAs. 
Covering  areas  not  under  the  jurisdiction  of  city  police 
departments,  rural  county  law  enforcement  agencies  offered 
service  to  14  percent  of  the  national  population  in  1987. 


The  following   diagram   illustrates 
discussion  of  the  community  types. 


the  aforementioned 


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 City  Less  than  10,000 

VIII  (Rural  County)  County  N/A 

IX  (Suburban  County)  County  N/A 

The  major  source  of  UCR  data  is  the  individual  law 
enforcement  agency.  The  number  of  agencies  included  in 
each  population  group  will  vary  slightly  from  year  to  year 
due  to  population  growth,  geopolitical  consolidation, 
municipal  incorporation,  etc.  Population  figures  for 
individual  jurisdictions  are  estimated  by  the  UCR  Program 
in  noncensus  years.  To  obtain  the  1987  figures,  for  example, 
state  growth  rates,  as  supplied  by  the  Bureau  of  the  Census, 
were  applied  to  every  jurisdiction  within  each  state.  The 
base  figures  were  1986  Bureau  of  the  Census  estimates  for 
all  counties  and  cities. 

The  following  table  shows  the  number  of  UCR 
contributing  agencies  within  each  population  group  for 
1987. 

Population  Number  of  Population 

Group  Agencies  Covered 

I    62  44,693,000 

II    127  18,574,000 

III    321  21,859,000 

IV   689  23,636,000 

V      1,694  26,589,000 

VI     7,661  25,200,000 

VIII  (Rural  County)  3,715  34,009,000 

IX  (Suburban  County)     ..  1,677  48,839,000 

Total         15,946  243,400,000' 

'Because  of  rounding,  the  population  covered  does  not  add  to 
total. 


317 


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  divisions. 
The  following  table  delineates  the  regional,  divisional,  and 
state  configuration  of  the  country. 

NORTHEASTERN  STATES 


SOUTHERN  STATES 


New  England 
Connecticut 
Maine 

Massachusetts 
New  Hampshire 
Rhode  Island 
Vermont 


Middle  Atlantic 
New  Jersey 
New  York 
Pennsylvania 


MIDWESTERN  STATES 


East  North  Central 
Illinois 
Indiana 
Michigan 
Ohio 
Wisconsin 


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


South  Atlantic 
Delaware 

District  of  Columbia 
Florida 
Georgia 
Maryland 
North  Carolina 
South  Carolina 
Virginia 
West  Virginia 


East  South  Central 

Alabama 

Kentucky 

Mississippi 

Tennessee 
West  South  Central 

Arkansas 

Louisiana 

Oklahoma 

Texas 


WESTERN  STATES 


ountain 

Pacific 

Arizona 

Alaska 

Colorado 

California 

Idaho 

Hawaii 

Montana 

Oregon 

Nevada 

Washington 

New  Mexico 

Utah 

Wyoming 

REGIONS  and  DIVISIONS  of  the  UNITED  STATES 


WEST 


318 


APPENDIX  IV 

INDEX  OF  CRIME,  METROPOLITAN 

STATISTICAL  AREAS,  1987 


Metropolitan  Statistical  Area 

Population 

Cnme 
Index 
total 

Modified 
Cnme 
Index 

total' 

Violent 
cnme" 

Property 
cnme' 

Murder 
and  non- 
negligent 
man- 

Forcible 
rape 

Robber>- 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
theft 

Motor 
vehicle 
thefl 

Arson' 

slaughter 

Abilene,  Tx.  M.S.A 

126,305 

(Includes  Taylor  County  ) 

City  of  Abilene 

113.161 

7.518 

561 

6.957 

5 

32 

198 

326 

2,607 

4,099 

251 

Total  area  actually  reponing 

100.0% 

7.833 

581 

7,252 

6 

34 

201 

340 

2,752 

4.238 

262 

Rate  per   100,000  inhabitants 

6.201.7 

460.0 

5.741.7 

4.8 

26.9 

159.1 

269.2 

2.178-9 

3.355.4 

207.4 

Albany,  Ga.  M.S.A 

119,460 

(Includes  Dougherty  and  Lee 

Counties.) 

City  of  Albany              

86.588 

7.737 

1.146 

6.591 

18 

85 

447 

596 

2.562 

3.649 
3.916 

380 

Total  area  actually  reporting 

100.0% 

8,306 

1.197 

7.109 

20 

90 

466 

621 

2.767 

426 

Rate  per   100.000  inhabitants 

6,953.0 

1.002.0 

5.950.9 

16.7 

75.3 

390.1 

519.8 

2.316.3 

3,278.1 

356.6 

Albany-Schenectady-Troy,  N.Y. 

M.S.A 

846,111 

(Includes  Albany.  Greene. 

Montgomery.  Rensselaer.  Saratoga  and 

Schenectady  Counties.) 

City  of; 

Albany  

97.309 

6.144 

832 

5.312 

16 

64 

335 

417 

2.046 

2,919 

347 

Schenectady 

67,410 

3.327 

200 

3.127 

3 

26 

136 

35 

1.291 

1,585 

251 

Troy               

54.121 

2.956 

190 

2.766 

6 

19 

83 

82 

873 

1,678 

215 

Total  area  actually  reporting 

98.8% 

31.763 

2.568 

29,195 

34 

200 

682 

1.652 

8,400 

19,354 

1.441 

Estimated  total  

100  0% 

32.119 

2.594 

29,525 

34 

201 

691 

1.668 

8.473 

19,586 

1.466 

Rate  per  100.000  inhabitants 

3,796.1 

306.6 

3,489.5 

4.0 

23.8 

81.7 

197.1 

1.0014 

2.314.8 

173.3 

Albuquerque,  N.M.  M.S.A 

480,876 

(Includes  Bernalillo  County.) 

City  of  Albuquerque 

371,756 

37.008 

3.845 

33,163 

48 

211 

987 

2.599 

9.965 

20.913 

2,285 

Total  area  actually  reporting 

100  0% 

42.904 

4.491 

38,413 

66 

264 

1,094 

3.067 

12.286 

23.499 

2.628 

Rate  per   100.000  inhabitants 

8.922  1 

9339 

7,988  1 

137 

54,9 

227.5 

637.8 

2,554.9 

4.886.7 

546.5 

Alexandria,  La.  M.S.A 

138,350 

(Includes  Rapides  Pansh.) 

City  of  Alexandria    

50,979 

5.141 

476 

4.665 

11 

21 

84 

360 

1,092 

3.388 

185 

Total  area  actually  reporting  .      . 

99.6% 

7.302 

614 

6.688 

13 

33 

103 

465 

1,624 

4.815 

249 

Estimated  total             

100.0% 

7,332 

617 

6,715 

13 

33 

104 

467 

1,630 

4.835 

250 

Rate  per  100.000  inhabitants 

5.299.6 

446.0 

4.853.6 

9.4 

239 

75.2 

337.5 

1,178.2 

3.494.8 

180.7 

Allentown-Bethlehem,  Pa.-N.J. 

M.S.A 

659.626 

(Includes  Carbon.  Lehigh,  and 

Northampton  Counties.  Pa.,  and 

Warren  County.  N.J.) 

City  of 

Allentown  

104.771 

6.113 

427 

5.686 

7 

29 

207 

184 

1.648 

3.739 

299 

Bethlehem 

70.617 

2.627 

167 

2.460 

4 

14 

66 

83 

546 

1.811 

103 

Total  area  actually  reporting 

100.0% 

19.515 

1.223 

18,292 

23 

100 

393 

707 

4.503 

12.949 

840 

Rate  per  100.000  inhabitants 

2.9585 

185.4 

2.773.1 

3.5 

15.2 

596 

107.2 

682.7 

1,963-1 

127.3 

Altoona,  Pa.  M.S.A 

133.022 

(Includes  Blair  County.) 

53.369 

1.847 

97 

1.750 

1 

23 

25 

48 

552 

1.136 

62 

Total  area  actually  reporting 

100.0% 

3,537 

169 

3.368 

1 

32 

38 

98 

888 

2.355 

125 

Rate  per  100.000  inhabtlants 

2,659.0 

127.0 

2.531.9 

.8 

24.1 

28.6 

73.7 

6676 

1.770.4 

94.0 

Amarillo,  Tx.  M.S.A 

196.352 

(Includes  Potter  and  Randall 

Counties.) 

City  of  Amarillo 

166.914 

12.949 

842 

12.107 

18 

71 

250 

503 

3.200 

8.396 

511 

Total  area  actually  reporting 

100.0% 

13.759 

889 

12.870 

20 

82 

253 

534 

3.462 

8,849 

559 

Rate  per    100.000  inhabitants 

7.007.3 

452.8 

6.554.6 

102 

41.8 

128.9 

272.0 

1.763.2 

4,506.7 

284.7 

Anchorage,  Ak.  M.S.A 

231.039 

(Includes  Anchorage  Borough.) 

Total  area  actually  reporting 

100.0% 

13.746 

1.025 

12.721 

15 

154 

285 

571 

2.113 

9.491 

1.117 

Rate  per   100.000  inhabitants 

5.949.6 

443.6 

5.506.0 

6.5 

66.7 

123.4 

247.1 

914.6 

4.108.0 

483.5 

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

2.221.570 

(Includes  Orange  County) 

City  of 

Anaheim 

246.815 
242.765 
100.0% 

17.306 
20.427 
127.408 

1.274 

1.575 

10.001 

16.032 

18.852 

117.407 

14 
31 
90 

91 

87 

633 

659 

799 

3,624 

510 

658 

5,654 

4.892 
4.300 
31.967 

8.733 
11.507 
70.312 

2.407 
3,045 
15.128 

Santa  Ana    

Total  area  actually  reporting 

Rate  per  100.000  inhabitants 

5.735.0 

4502 

5.284.9 

4.1 

28.5 

163.1 

254.5 

1.438.9 

3.165.0 

681.0 

See  footnoles  at  end  of  table. 


319 


APPENDIX  IV  — Index  of  Crime,  Metropolitan  Statistical  Areas,  1987  —  Continued 

Metropolitan  Statistical  Area 

Population 

Cnme 
lnde« 
(olal 

Modified 
Cnme 
Inden 
total' 

Violent 
cnme- 

Property 
cnme' 

Murder 
and  non- 
negligcnl 

man- 

Forcible 
rape 

Robber) 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
theft 

Motor 
vehicle 
theft 

Arson' 

slaughter 

Anderson.  S.C.  M.S.A 

142.757 

(Includes  Anderson  County.) 

City  of  Anderson 

2<),08l 

2.059 

207 

1.852 

4 

19 

41 

143 

508 

1.234 

110 

Total  area  actually  reporting 

99.3% 

6.487 

586 

5.901 

12 

59 

80 

435 

2.036 

3.463 

402 

Estimated  total 

100.0% 

6.556 

593 

5.963 

12 

59 

82 

440 

2.051 

3,507 

405 

Rate  per  100.000  inhabitants     

4.592.4 

415.4 

4.177.0 

8.4 

41.3 

^7.4 

308.2 

1.436.7 

2.456.6 

283.7 

Ann  Arbor.  Mi.  M.S.A 

264,053 

(Includes  Washtenaw  County.) 

City  of  Ann  Arbor 

108.336 

10.269 

675 

9.594 

4 

59 

180 

432 

1,718 

7.378 

498 

Total  area  actually  reporting   ,. 

100  0% 

20.428 

1.792 

18,636 

21 

174 

450 

1.147 

3.737 

13.575 

1,324 

Rate  per  100.000  inhabitants 

7.736.3 

678,7 

7.0577 

8.0 

65.9 

170.4 

434.4 

1.415.2 

5.141.0 

501,4 

Anniston,  AI.  M.S.A 

124,738 

(Includes  Calhoun  County.) 

City  of  Anniston    

29,593 

3.424 

682 

2.742 

8 

26 

124 

524 

864 

1,754 

124 

Total  area  actually  reporting 

100.0% 

5,354 

983 

4,371 

14 

29 

146 

794 

1.250 

2,914 

207 

Rale  per  100.000  inhabitants 

4.292.2 

788,1 

3.504,1 

11.2 

23.2 

117.0 

636,5 

1,002.1 

2.336.1 

165,9 

Appleton-Oshkosh-Neenah,  Wi. 

M.S.A 

307,072 

(Includes  Calumet.  Outagamie  and 

Winnebago  Counties.) 

City  of: 

Applelon 

64.346 

2,973 

73 

2.900 

16 

11 

46 

571 

2,262 

67 

Oshkosh  

51.426 

3,057 

99 

2.958 

2 

17 

23 

57 

424 

2,463 

71 

Neenah 

23.518 

978 

24 

954 

4 

20 

124 

806 

24 

Total  area  actually  reporting 

100.0% 

11.171 

358 

10.813 

3 

38 

51 

266 

1.906 

8,657 

250 

Rale  per  100.000  inhabitants 

3.637.9 

116,6 

3.521.3 

1.0 

12.4 

16.6 

86.6 

620.7 

2.819.2 

81,4 

Asheville,  N.C.  M.S.A 

172,186 

(Includes  Buncombe  County.) 

City  of  Asheville 

61.065 

5.248 

346 

4.902 

9 

25 

93 

219 

1,396 

3.216 

290 

Total  area  actually  reporting 

97.8% 

7.290 

430 

6.860 

12 

46 

108 

264 

2,181 

4.274 

405 

Estimated  total                

100.0% 

7.550 

459 

7.091 

12 

47 

112 

288 

2,244 

4.431 

416 

Rate  per  100,000  inhabitants 

4.384.8 

266.6 

4.118.2 

7.0 

27.3 

65.0 

167.3 

1,303.2 

2.573.4 

241.6 

Athens.  Ga.  M.S.A 

146.838 

(Includes  Clarke.  Jackson,  Madison 

and  Oconee  Counties.) 

City  of  Athens 

43,931 

2.434 

368 

2,066 

7 

26 

122 

213 

881 

1.068 

117 

Total  area  actually  reporting 

99.6% 

5,813 

562 

5,251 

12 

59 

149 

342 

1.830 

3,130 

291 

Estimated  total 

100.0% 

5.859 

565 

5,294 

12 

59 

150 

344 

1.841 

3,158 

295 

Rate  per  100.000  inhabitants 

3.990.1 

384.8 

3.605.3 

8.2 

40.2 

102,2 

234.3 

1.253.8 

2.150.7 

200.9 

Atlanta,  Ga.  M.S.A 

2,609,420 

(Includes  Barrow.  Butts.  Cherokee, 

Clayton.  Cobb.  Cowetta,  De  Kalb. 

Douglas,  Fayette,  Forsyth.  Fulion, 

Gwinnett.  Henry,  Newton,  Paulding, 

Rockdale,  Spalding  and  Walton 

Counties.) 

429.953 

66,891 

12.893 

53.998 

207 

636 

5.100 

6.950 

14.927 

31.559 

7.512 

Total  area  actually  reporting 

99.0% 

203,439 

21,167 

182.272 

359 

1,404 

8.677 

10.727 

49.957 

110.328 

21,987 

Estimated  total         

100.0% 

205,347 

21,314 

184.033 

361 

1.415 

8,733 

10.805 

50,406 

111.474 

22,153 

Rate  per  100,000  inhabitants 

7.869.4 

816.8 

7.052,6 

13.8 

54.2 

334.7 

414.1 

1.931.7 

4.272.0 

849.0 

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

299,442 

(Includes  Atlantic  and  Cape  May 

Counties.) 

City  of  Atlantic  City 

36,226 

13.811 

1.057 

12.754 

16 

49 

510 

482 

1.431 

10.770 

553 

Total  area  actually  reporting 

100.0% 

30,286 

2.136 

28.150 

22 

192 

747 

1,175 

5.366 

21.395 

1,389 

Rate  per  100.000  inhabitants 

10.114  1 

713.3 

9.400,8 

7.3 

64.1 

249,5 

392.4 

1,792.0 

7.145.0 

463.9 

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

396,890 

(Includes  Columbia,  McDuffie  and 

Richmond  Counties,  Ga..  and  Aiken 

County,  S-C) 

City  of  Augusta 

46.316 

3.430 

324 

3.106 

8 

26 

182 

108 

1.194 

1.714 

198 

Total  area  actually  reporting 

96.7% 

18.399 

1,886 

16.513 

46 

133 

620 

1.087 

5.960 

9.505 

1.048 

Estimated  total  

100.0% 

19.072 

1.925 

17.147 

47 

137 

636 

1.105 

6.150 

9.880 

1.117 

Rate  per  100,000  inhabitants 

4.805.4 

485.0 

4.320,3 

11,8 

34.5 

160,2 

278.4 

1.549.5 

2,489.4 

281.4 

Aurora-Elgin,  II.  M.S.A.* 

338.919 

(Includes  Kane  and  Kendall 

Counties.) 

City  of: 

Aurora* 

85.600 

5.510 

1 

174 

325 

1.617 

3.627 

266 

Elgin*    

72.311 

7 

97 

189 

1.390 

2.484 

192 

Total  area  actually  reporting 

100.0% 

15.430 

8 

299 

664 

4,350 

10.424 

656 

Rate  per  100.000  inhabitants 

4.552,7 

2.4 

88.2 

195.9 

1.283.5 

3,075.7 

193.6 

Austin,  Tx.  M.S.A 

730,958 

(Includes  Hays,  Travis,  and 

Williamson  Counties.) 

City  of  Austin 

469,542 

44.338 

2.313 

42.025 

39 

284 

985 

1.005 

11,417 

28.486 

2.122 

Total  area  actually  reporting 

100.0% 

59.284 

3.329 

55.955 

42 

410 

1,136 

1.741 

15,685 

37.524 

2.746 

Rate  per   100,000  inhabitants 

8,110.5 

455.4 

7,655,0 

5,7 

56.1 

155.4 

238.2 

2.145.8 

5,133.5 

375.7 

Sec  footnotes  at  end  of  table. 


320 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1987  —  Continued 


Metropolitan  Statistical  Area 


Bakersfield,  Ca.  M.S.A 

(Includes  Kern  County.) 

City  of  Bakersfield 

Total  area  actually  reporting 

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  reporting 

Rate  per  100,000  inhabitants 

Bangor,  Me.  M.S.A 

(Includes  part  of  Penobscot  and 
Waldo  Counties.) 

City  of  Bangor 

Total  area  actually  reporting 

Rate  per  100,000  inhabitants 

Baton  Rouge,  La.  M.S.A 

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

City  of  Baton  Rouge 

Total  area  actually  reporting 

Estimated  total 

Rale  per  100.000  inhabitants 

Battle  Creek,  Ml.  M.S.A 

(Includes  Calhoun  County.) 

City  of  Battle  Creek 

Total  area  actually  reporting 

Rate  per  100,000  inhabitants 

Beaumont-Port  Arthur,  Tx.  M.S.A 

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

Beaumont 

Port  Arthur 

Total  area  actually  reporting 

Rate  per  100,000  inhabitants 

Beaver  County,  Pa.  M.S.A 

(Includes  Beaver  County.) 

Total  area  actually  reporting 

Estimated  total 

Rate  per  100.000  inhabitants 

Bellingham,  Wa.  M.S.A 

(Includes  Whatcom  County.) 
City  of  Bellingham 
Total  area  actually  reporting 
Rate  per  100.000  inhabitants 

Benton  Harbor,  Mi.  M.S.A 

(Includes  Berrien  County.) 
City  of  Benton  Harbor 

Total  area  actually  reporting 

Rate  per  100,000  inhabitants 

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

(Includes  Bergen  and  Passaic 
Counties.) 

Total  area  actually  reporting 

Rale  per  100,000  inhabitants 

Billings,  Mf.  M.S.A 

(Includes  Yellowstone  County.) 

City  of  BilUngs 

Total  area  actually  reporting 

Rate  per  100,000  inhabitants 

Binghamton,  N.Y.  M.S.A 

(Includes  Broome  and  Tioga 
Counties.) 

City  of  Binghamton  

Total  area  actually  reporting 

Estimated  total 

Rate  per  100.000  inhabitants 

Birmingham,  AI.  M.S.A 

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

City  of  Birmingham  

Total  area  actually  reporting 

Estimated  total 

Rate  per  100,000  inhabitants 


Population 


Cnme 
Index 
total 


506,692 


154,202 
100.0% 


2,316,526 


764,893 
100.0% 

65,155 


30,504 
100.0% 

541,359 


242,539 
94.4% 
100.0% 

137,568 

54,334 
100.0% 

378,210 


120,669 
62,760 
100.0% 

201,701 

99.6% 
100.0% 

115.624 

45,721 
100.0% 

164,399 

17,776 
100.0% 

1,306,673 


100.0% 

118,649 

79,339 
100,0% 

262,579 


53,067 
99.6% 
100.0% 

917,901 


282.171 
97.3% 
100.0% 


15,725 
37,715 
7,443.4 


65,553 
145,080 
6,262.8 


1,903 

2,909 

4,464.7 


30,856 
43,724 
45,535 
8,411.2 


5,455 

8,826 

6,415.7 


12.965 

5,073 

26,557 

7.021.8 


3,192 

3,211 

1.592.0 


3,876 

6,370 

5,509.2 


2,693 
11,489 
6,988.5 


56,873 
4,352.5 


6,641 

7,551 

6,364.1 


2,590 

7.473 

7,511 

2,860.5 


27,796 
49,903 
51,335 
5,592.7 


Modified 
Cnme 
Index 
total' 


Violent 
crime* 


Properly 
cnme' 


1,890 

4,777 
942.8 


14.295 
22,996 
992.7 


76 
110 
168 


4,297 

5.275 

5.422 

1.001.6 


644 

913 

663.7 


1,279 

527 

2.398 

634.0 


288 

289 

143.3 


116 

204 

176.4 


195 
1,307 
795.0 


4,766 
364.7 


125 

150 

126.4 


68 
255 
258 
98.3 


3,532 
6.411 
6,605 
719.6 


13,835 
32,938 
6,500.6 


51,258 
122,084 
5,270.1 


1,827 

2,799 

4,295.9 


26,559 
38,449 
40,113 
7,409.7 


Murder 
and  non- 
negligent 

man- 
slaughter 


6.516 

7,401 

6.237.7 


2,522 

7,218 

7,253 

2,762.2 


24,264 
43.492 
44.730 
4,873.1 


20 

61 

12.0 


226 
300 
13.0 


34 
41 
42 
7.8 


Forcible 
rape 


4 

5 

4.2 


84 
127 
129 
14.1 


68 
260 
51.3 


595 
1,025 
44.2 


6 

12 

18.4 


161 

202 
210 
38.8 


Robtjery 


699 
1.238 
244.3 


7,466 
9,546 
412.1 


23 

25 

38.4 


813 
950 
981 
181.2 


Aggra- 
vated 
assault 


1.103 
3.218 
635.1 


6,008 
12,125 
523.4 


46 

72 
110.5 


3.289 
4,082 
4,189 
773.8 


22 

30 

25.3 


22 

38 

38 

14.5 


311 
430 
436 

47.5 


35 

41 

34.6 


27 

48 

49 

18.7 


1,591 
2,169 
2.202 
239.9 


Burglary 


64 

74 

62.4 


18 
166 
168 
64.0 


1.546 
3.685 
3.838 
418.1 


4.241 
10,614 
2.094.8 


13,475 
30,208 
1,304.0 


350 

516 

792.0 


7,916 
11,446 
11,812 
2,181.9 


Larceny- 
Iheft 


4,811 

7,913 

5,752.1 

7 
11 
8.0 

58 

97 

70.5 

162 
198 

143.9 

417 

607 

441.2 

1,496 

2,448 
1,779.5 

11,686 

4,546 

24,159 

6,387.7 

18 

9 

41 

10.8 

138 

27 

209 

55.3 

462 

206 

821 

217.1 

661 

285 

1,327 

350.9 

4,338 

1,673 

8,404 

2,222.0 

2,904 

2.922 

1,448.7 

6 

6 

3.0 

24 

24 

11.9 

39 

39 

19.3 

219 

220 

109.1 

809 

813 

403.1 

3,760 

6,166 

5,332.8 

1 

5 

4.3 

13 

33 
28.5 

32 

48 

41.5 

70 

118 

102.1 

713 

1,522 

1,3163 

2.498 

29 
159 
96.7 

42 

173 

105.2 

124 

964 

586.4 

684 

2,868 

1,744.5 

10.182 
6,193.5 

11 
67 

52,107 
3,987.8 

36 

2,8 

190 
14.5 

2,198 
168.2 

2,342 
179.2 

9,678 
740.7 

1,335 

1,527 

1,287.0 


353 
1,337 
1.345 
512.2 


7,250 
13,091 
13,420 
1,462.0 


Motor 
vehicle 
then 


8,562 
19,917 
3,930.8 


30,319 
77,470 
3,344.2 


1,428 

2,188 

3,358.1 


16,774 
24,563 
25,782 
4,762.5 


3.189 

5,223 

3.796.7 


6,758 

2,656 

14,606 

3,861.9 


1.874 
1,886 
935.0 


2,834 

4,320 

3,7362 


1,732 

6,938 

4,220.2 


33,782 
2,585.3 


4,876 

5,512 

4,645.6 


2,060 

5.631 

5,655 

2,153.6 


13,726 
25,467 
26,301 
2,865.3 


1,032 
2,407 
475.0 


7,464 
14,406 
621.9 


49 

95 

145.8 


1,869 
2,440 
2,519 
465.3 


126 

242 

175.9 


590 

217 

1,149 

303.8 


221 

223 

110.6 


213 

324 

280.2 


82 

376 

228.7 


8,647 
661.8 


305 

362 

305.1 


109 
250 
253 
96.4 


3,288 
4,934 
5.009 
545.7 


See  footnotes  at  end  of  table. 


321 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1987  —  Continued 

Metropolitan  Stalislical  Area 

Popuialion 

Crime 
lnde« 
lolal 

ModiHed 
Cnme 
lnde« 
lolal' 

Violeni 
cnme- 

Propeny 
cnme' 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
Ihell 

Motor 
vehicle 
theft 

Arson' 

Bismarck,  N.D.  M.S.A 

84,890 

(Includes  Burleigh  and  Morton 

Counties.) 

City  of  Bismarck 

Total  area  actually  reporting 

47,475 
100.0% 

2,577 

31 

2,546 

2 

12 

17 

419 

2,035 

92 

3,475 

59 

3.416 

3 

13 

43 

599 

2,690 

127 

Rate  per  100.000  inhabilanls 
Bloomington,  In.  M.S.A 

4,093.5 

69.5 

4,0240 

3  5 

15  3 

507 

705.6 

3,168.8 

149.6 

102,206 

(Includes  Monroe  County.) 

City  of  Bloomington 

52.761 

2,559 

304 

2,255 

1 

11 

14 

278 

478 

1,568 

209 

Total  area  actually  reporting 

100,0% 

4,964 

388 

4,576 

2 

28 

20 

338 

999 

3,264 

313 

Rate  per  100.000  inhabitants 

4,856.9 

379.6 

4,477.2 

2.0 

27.4 

19.6 

3307 

977.4 

3,193.6 

306.2 

Bloomington-Normal,  11.  M.S.A.* 

123,059 

(Includes  McLean  County.) 

City  of; 

Bloomington'* 

46,385 

3,020 

7 

45 

169 

668 

2,245 

107 

Normal* 

36,898 

1.464 

1 

9 

37 

363 

1,062 

39 

Total  area  actually  reporting 

97  1% 

5,493 

8 

59 

227 

1,358 

3,964 

171 

Estimated  total       

100.0% 

5,647 
4,588.9 

8 
6.5 

63 
51.2 

234 
190.2 

1,391 
1,1304 

4,071 
3,308.2 

185 
1503 

Rate  per  100.000  inhabitants 

Boise,  Id.  M.S.A 

192,932 

(Includes  Ada  County.) 

City  of  Boise    

107,903 
100.0% 

7,446 
10,568 

445 
589 

7,001 
9,979 

2 
6 

42 
55 

68 
90 

333 
438 

2,016 
2,925 

4,671 
6,602 

314 
452 

Total  area  actually  reporting 

Rate  per  100.000  inhabilanls 

5,477.6 

305  3 

5,172.3 

3  1 

28.5 

46.6 

227.0 

1.5161 

3,421.9 

234.3 

Boston.  Ma.  M.S.A 

2,847,461 

(Includes  part  of  Bristol.   Essex, 

Middlesex,  Norfolk.  Plymouth  and 

Worcester  Counties,  and  all  of  Suffolk 

County) 

City  of  Boston 

575.882 

67,417 

11,954 

55,463 

76 

550 

5,408 

5,920 

10,412 

26,791 

18,260 

Total  area  actually  reporlmg 

89.8% 

136,933 

18,550 

118,383 

111 

907 

7,237 

10,295 

25,454 

62,176 

30,753 

Estimated  total               

100.0% 

146,170 
5,133  3 

19,277 
6770 

126,893 
4,456.4 

115 

4.0 

956 
33.6 

7,401 
259.9 

10,805 
379.5 

27,533 
966.9 

67,059 
2,355.0 

32,301 
1,134.4 

Rate  per  100,000  inhabitants 

Boulder-Longmont,  Co.  M.S.A 

216,303 

(Includes  Boulder  County  ) 

City  of: 

Boulder    

77.166 

5,596 

184 

5,412 

1 

13 

46 

124 

931 

4,217 

264 

Longmont 

51,114 

3,463 

199 

3,264 

26 

17 

156 

658 

2,480 

126 

Total  area  actually  reporting 

100.0% 

13,068 

666 

12,402 

7 

77 

81 

501 

2,556 

9.319 

527 

Rale  per  100,000  inhabitants 

6,041  5 

307.9 

5,733.6 

3.2 

35.6 

37.4 

231.6 

1,181.7 

4,308.3 

243.6 

Bradenton,  FI.  M.S.A 

182,380 

(Includes  Manatee  County.) 

City  of  Bradenton 

38,567 

4,759 

570 

4,189 

5 

27 

151 

387 

1,339 

2,613 

237 

Total  area  actually  reporting 

100.0% 

15,616 

1,755 

13,861 

18 

125 

341 

1,271 

4,443 

8,387 

1,031 

Rate  per  100,000  inhabilanls 

8,562.3 

962.3 

7,600.1 

99 

68.5 

187.0 

696.9 

2,436.1 

4,598.6 

565.3 

Brazoria,  Tx.  M.S.A 

189,910 

(Includes  Brazona  County.) 

Total  area  actually  reporting 

100.0% 

7,642 

399 

7,243 

14 

56 

80 

249 

2,027 

4,761 

455 

Rale  per   100,000  inhabitants 

4,0240 

2101 

3,813  9 

74 

29.5 

42.1 

131  1 

1,067.3 

2,507.0 

239.6 

Bremerton,  Wa.  M.S.A 

172,063 

(Includes  Kitsap  County.) 

City  of  Bremerton 

34,677 

2,499 

206 

2,293 

3 

56 

44 

103 

418 

1,744 

131 

Total  area  actually  reporting 

100  0% 

6,867 

503 

6,364 

8 

94 

69 

332 

1,639 

4,371 

354 

Rale  per   100.000  inhabitants 

3,991.0 

292.3 

3,698.6 

4.6 

54.6 

40.1 

193.0 

952.6 

2,540.3 

205.7 

Bridgeport-Milford,  Ct.  M.S.A 

456,823 

(Includes  part  of  Fairfield  and  New 

Haven  Counties) 

Cily  of: 

Bridgeport 

142.852 

13,221 

1,810 

11.411 

37 

58 

983 

732 

3.760 

5,499 

2,152 

Milford, 

49,594 

2,205 

92 

2.113 

3 

8 

57 

24 

414 

1,277 

422 

Total  area  actually  reporting 

100.0% 

23,302 

2,245 

21.057 

45 

87 

1.176 

937 

6,041 

11,505 

3,511 

Rate  per   100,000  inhabilanls 

5,100.9 

491  4 

4,609.4 

9.9 

19.0 

2574 

205.1 

1,322.4 

2,518.5 

768.6 

Bristol.  Ct.  M.S.A 

70,520 

(Includes  part  of  Hartford  and 

Litchfield  Counties.) 

City  of  Bnstol 

59,352 

1,833 

146 

1,687 

6 

19 

121 

613 

956 

118 

Total  area  actually  reporting 

100.0% 

2,083 

161 

1,922 

14 

20 

127 

675 

1,103 

144 

Rate  per   100,000  inhabitants 

2,953.8 

228.3 

2,725.5 

199 

28.4 

180.1 

957.2 

1.564  1 

204.2 

Brownsville-Harlingen,  Tx.  M.S.A 

258,950 

(Includes  Cameron  County  ) 

City  of: 

Brownsville       

102,765 
55,333 

10,023 
4.164 

1,265 
143 

8,758 
4,021 

8 
5 

70 

2 

127 
48 

1,060 
88 

2,142 
1,000 

5,610 
2,804 

1,006 

217 

Harlingen      

Total  area  actually  reporting 

100.0% 

18,519 

1,701 

16,818 

19 

93 

212 

1,377 

4,791 

10,600 

1,427 

Rate  per  100,000  inhabilanls 

7,151  6 

656.9 

6,494.7 

7.3 

35.9 

81.9 

531  8 

1,8502 

4,093.5 

551.1 

See  footnotes  at  end  of  table. 


322 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1987  —  Continued 

Meiropolitan  Statistical  Area 

Population 

Crime 
Index 
total 

Modified 
Crime 
Index 
lolal' 

Violeni 
cnme" 

Property 
cnme' 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
Ihefl 

Motor 
vehicle 
Ihefl 

Arson' 

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

121,575 

(Includes  Brazos  County.) 

City  of: 

Bryan   .            

62,619 

4.435 

332 

4.103 

4 

38 

55 

235 

1.547 

2.350 

206 

College  Station 

46.204 

3.541 

139 

3.402 

1 

13 

27 

98 

906 

2.351 

145 

Total  area  actually  reporting 

100-0% 

9.378 

502 

8.876 

6 

57 

87 

352 

2.774 

5.702 

400 

Rate  per   100.000  inhabitants 

7.713-8 

412,9 

7.300.8 

4,9 

46,9 

71,6 

289,5 

2.281.7 

4.690. 1 

329.0 

Buffalo,  N,Y.  M.S.A 

967,572 

(Includes  Erie  County.) 

City  of  Buffalo 

325.787 

25.053 

3.555 

21,498 

35 

268 

1.552 

1.700 

6.825 

11,252 

3,421 
4,735 

Total  area  actually  reporting 

100,0% 

45,886 

5,313 

40.573 

40 

321 

1.736 

3.216 

11.275 

24,563 

Rate  per  100.000  inhabitants 

4.742.4 

549.1 

4.193,3 

4,1 

33,2 

179,4 

332.4 

1,165.3 

2.538.6 

489.4 

Burlington,  N.C.  M.S.A 

102,795 

(includes  Alamance  County.) 

City  of  Burlington 

37.303 

1.956 

145 

1.811 

6 

8 

25 

106 

425 

1,296 

2,240 

90 

Total  area  actually   reporting 

98.0% 

3.582 

264 

3.318 

11 

19 

41 

193 

902 

176 

Estimated  total 

100.0% 

3.717 

279 

3,438 

11 

20 

43 

205 

935 

2,321 

182 

Rate  per    100.000  inhabitants 

3.6159 

271.4 

3.344,5 

10,7 

19.5 

41.8 

199,4 

909.6 

2,257.9 

177.1 

Burlington,  Vt.  M.S.A 

105,165 

(Includes  part  of  Chittenden.  Franklin 

and  Grand  Isle  Counties.) 

City  of  Burlington 

38.799 

4.475 

68 

4.407 

24 

19 

25 

1.079 

3,146 

182 

Total  area  actually  reporting 

Rate  per  100.000  inhabitants 

Canton.  Oh.  M.S.A 

100.0% 

8,294 

147 

8,147 

37 

35 

75 

1.933 

5,907 
5,616.9 

307 

7,886.7 

139.8 

7.7469 

35.2 

33,3 

71,3 

1,838.1 

291.9 

405,418 

(Includes  Carroll  and  Stark  Counties.) 

City  of  Canton 

89.363 

5.838 

673 

5,165 

12 

75 

374 

212 

1.448 

3,350 

367 

Total  area  actually  reporting. 

93.5% 

15.722 

1.522 

14.200 

18 

115 

610 

779 

3,985 

9,369 

846 

Estimated  total                               

100.0% 

16.439 

1.576 

14,863 

18 

120 

621 

817 

4,149 

9,821 

893 

Rate  per   100.000  inhabitants 

4.054,8 

388,7 

3.666. 1 

4.4 

296 

153.2 

201,5 

1,023.4 

2,422.4 

220.3 

Casper,  Wy.  M.S.A 

68,482 

(Includes  Natrona  County.) 

City  of  Casper  

45.697 

2.954 

221 

2.733 

1 

17 

21 

182 

812 

1.830 

91 

Total  area  actually  reporting 

100.0% 

3,805 

275 

3.530 

1 

34 

23 

217 

1.070 

2.317 

143 

Rate  per   100.000  inhabitants 

5,556,2 

401,6 

5.154.6 

1.5 

49,6 

33,6 

316,9 

1.562.5 

3.383,4 

208.8 

Cedar  Rapids,  la.  M.S.A 

167,805 

(Includes  Linn  County.) 

City  of  Cedar  Rapids 

107.731 

9.134 

189 

8,945 

3 

8 

102 

76 

1,802 

6,791 

352 

Total  area  actually   reporting 

100.0% 

10.736 

354 

10.382 

3 

12 

106 

233 

2,147 

7.820 

415 

Rate  per   100.000  inhabitants 

6.3979 

211.0 

6.186,9 

1,8 

7.2 

63,2 

138,9 

1,279.5 

4.660.2 

247.3 

Champaign-Urbana-Rantoul,  II. 

M.S.A.' 

171,601 

(Includes  Champaign  County.) 

City  of 

Champaign* 

59,353 

4,907 

7 

203 

421 

1.175 

3.468 

264 

Urbana' '. 

35.875 

1,605 

1 

58 

121 

441 

1.057 

107 

Rantoul*           

20.751 

557 

11 

26 

110 

434 

13 

Total  area  actually  reporting 

99,2%, 

8.798 

9 

282 

623 

2.189 

6.188 

421 

Estimated  total 

100.0% 

8.857 

9 

283 

626 

2.202 

6,229 

426 

Rate  per   100,000  inhabitants 

5.161,4 

5.2 

164.9 

364.8 

1.283,2 

3,629.9 

248.3 

Charleston,  S.C.  M.S.A 

492,386 

(Includes  Berkeley.  Charleston,  and 

Dorchester  Counties.) 

City  of  Charleston 

69.863 

4,789 

684 

4.105 

7 

42 

191 

444 

1.067 

2.797 

241 

Total  area  actually  reporting 

100.0% 

27,440 

3.443 

23,997 

41 

282 

748 

2,372 

6.603 

15.840 

1,554 

Rate  per  100.000  inhabitants 

5.572,9 

699,2 

4.873,6 

8,3 

57,3 

151.9 

481.7 

1.341,0 

3,217.0 

315.6 

Charleston,  W,V.  M.S.A 

262,702 

(Includes  Kanawha  and  Putnam 

Counties.) 

City  of  Charleston 

57.262 

6.046 

411 

5.635 

1 

72 

130 

208 

1,341 

3,983 

311 

Total  area  actually  reporting 

100.0% 

9,453 

597 

8,856 

7 

103 

164 

323 

2.297 

5,959 

600 

Rate  per   100.000  inhabitants 

3,598.4 

227,3 

3,371.1 

2,7 

39,2 

62.4 

123,0 

874,4 

2,268.3 

228,4 

Charlotte-Gastonla-Rock  Hill, 

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

1,079,225 

(Includes  Cabarrus,  Gaston,  Lincoln. 

Mecklenburg.  Rowan,  and  Union 

Counties.  N.C.  and  York  County. 

S.C.) 

City  of: 

Charlotte 

356,596 

39.609 

5.992 

33.617 

52 

308 

1,486 

4.146 

10,117 

21.723 

1.777 

Gastonia 

53.529 

5.341 

564 

4,777 

4 

28 

121 

411 

1,424 

3,079 

274 

Rock  Hill 

42,516 

4,106 

468 

3,638 

5 

20 

69 

374 

903 

2.592 

143 

Total  area  actually  reporting 

98.6% 

71.883 

9.047 

62.836 

102 

485 

1.984 

6.476 

20.016 

39.509 

3,311 

Estimated  total 

100.0% 

72.916 

9.165 

63.751 

103 

490 

2.002 

6.570 

20,265 

40.130 

3,356 

Rate  per  100.000  inhabitants 

6.756.3 

849,2 

5.907,1 

9,5 

45,4 

185,5 

608,8 

1.877.7 

3.718.4 

3110 

See  footnotes  at  end  of  table. 


323 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1987  —  Continued 


Metropolitan  Statistical  Area 


Population 


Cnme 
index 
loial 


Modified 
Cnme 
Index 
total' 


Violem 
cnme' 


Propen> 

cnme' 


Murder 
and  non- 
ncghgenl 

man- 
slaughter 


Forcible 
rape 


Robber> 


Aggra- 
vated 
assault 


Burglar) 


Larceny- 
theft 


Motor 
vehicle 
theft 


Charlottesville,  Va.  M.S.A 

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

City  of  Charlottesville     

Total  area  actually  reporting 

Rate  per  100.000  inhabitants 

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

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

City  of  Chattanooga  

Total  area  actually  repwrting 

Estimated  total 

Rate  per  100,000  inhabitants 

Cheyenne.  Wy.  M.S.A 

(Includes  Laramie  County.) 

City  of  Cheyenne 

Total  area  actually  reporting 

Rate  per  100,000  inhabitants 

Chicago.  II.  M.S.A.* 

(Includes  Cook,  Du  Page  and 
McHenry  Counties.) 

City  of  Chicago* 

Total  area  actually  reporting 

Estimated  total  

Rate  per  100,000  inhabitants 

Chico,  Ca.  M.S.A 

(Includes  Butte  County.) 

City  of  Chico 

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 

Total  area  actually  repwning 

Estimated  total  

Rate  per  100,000  inhabitants 

Clarksville-Hopkinsville,  Tn.-Ky. 

M.S.A 

(Includes  Christian  County,  Ky,  and 
Montgomery  County,  Tn.) 

City  of; 

Clarksville 

Hopkmsville 

Total  area  actually  reporting 

Estimated  total  

Rate  per  100.000  inhabitants 

Qeveland,  Oh.  M.S.A 

(Includes  Cuyahoga,  Geauga,  Lake 
and  Medma  Counties,) 

City  of  Cleveland 

Total  area  actually  reporting 

Estimated  total  

Rate  per  100,000  inhabitants 

Colorado  Springs,  Co.  M.S.A 

(Includes  El  Paso  County.) 

City  of  Colorado  Springs 

Total  area  actually  reporting 

Rate  per  lOC.OOO  inhabitants 

Columbia,  Mo.  M.S.A 

(Includes  Boone  County.) 

City  of  Columbia 

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 


123,860 


41,933 
100.0% 


430.548 


170.914 


33,506 
100.0% 


1.415,232 


371.585 
97.9% 
100,0% 


155,398 


3.071 

5.462 

4,409.8 


163,929 

14,589 

93.9% 

21.049 

100.0% 

21,698 

5,039.6 

72,638 

52,120 

2.750 

100.0% 

3.355 

4,618.8 

6,144,087 

3,018,338 

99.9% 

100.0% 

2,924 

9,333 

5,460.6 


27.197 
67,983 
69,280 
4,895.3 


61.389 

2,854 

29,105 

1,497 

99.5% 

5,571 

100.0% 

5,610 

3.610.1 

1,872,542 

548,171 

45,408 

90.6% 

82,634 

100.0% 

88,556 

4,729.2 

383,812 

275,106 

22,826 

100.0% 

26.729 

6.964.1 

107,278 

63,601 

4,540 

100.0% 

6,170 

5,751.4 

256 

364 

293.9 


2.093 
2.564 
2.615 
607.4 


80 

160 

220.3 


451,350 


94.320 
100.0% 


11,819 
30,353 
6.724.9 


183 

745 

435.9 


3.167 
5,768 
5,842 
412.8 


350 
184 
682 
686 
441.4 


6,964 
8,984 
9,381 
501.0 


1,390 
1,665 
433.8 


253 

375 

349.6 


1,478 
4.000 
886.2 


2.815 

5,098 

4.115.9 


12.496 
18.485 
19.083 
4.432.3 


2.670 

3,195 

4.398.5 


209,770 
334,162 
334,232 
5,439.9 


2.741 

8.588 

5.024.7 


24.030 
62,215 
63,438 
4.482.5 


2.504 
1.313 
4.889 
4.924 
3,168.6 


38,444 
73,650 
79,175 
4,228.2 


21,436 
25,064 
6,530.3 


4,287 

5,795 

5,401.9 


10,341 
26,353 
5,838.7 


26 
31 
32 

7.4 


2 

3 

4.1 


691 
757 
757 
12.3 


2 

16 
9.4 


145 
169 
173 
9.2 


4 

7 

6.5 


15 

46 

10.2 


25 

36 

29.1 


121 
171 
176 
40.9 


14 

25 

34.4 


22 

67 

39.2 


344 
610 
616 

43,5 


31 
15 
52 
52 
33.5 


750 
915 
950 
50.7 


167 
206 
53.7 


21 

28 

26.1 


77 
234 
51.8 


72 

90 

72.7 


552 

628 

638 

148.2 


1 

23 
31.7 


29.879 

32.357 

32.359 

526.7 


35 

95 

55.6 


1,183 
1.754 
1.774 
125.4 


58 
39 
103 
104 
66.9 


3.541 
4.392 
4.489 
239.7 


510 

553 

144.1 


87 

96 

89.3 


396 

782 

173.3 


155 

228 

184.1 


1,394 
1,734 
1,769 
410.9 


46 

109 

150.1 


34,194 

38.375 

38.378 

624.6 


124 

567 

331.7 


1.571 
3.309 
3.356 
2371 


258 
126 
518 
521 
335.3 


2.528 
3,508 
3,769 
201.3 


698 

885 

230.6 


141 

244 

227.4 


990 
2.938 
650.9 


565 
966 

779.9 


3.445 

5.547 

5.792 

1.345.3 


313 

401 

552.1 


51.005 
76.728 
76,743 
1,249.1 


640 

2,808 

1,642.9 


5,733 
13,213 
13,442 

949.8 


791 

295 

1,572 

1,579 

1.016.1 


13.163 
20.367 
21.555 
1.151.1 


5.925 

7.044 

1.835.3 


785 

1.132 

1,055.2 


2.684 

7.428 

1,645.7 


2.102 

3.875 

3.128.5 


7.255 
10.591 
10.885 
2,528.2 


2,274 

2,691 

3.704.7 


119,072 
203,851 
203,900 
3,318,6 


1,914 

5,156 

3,016.7 


17,055 
45.998 
46,894 
3,313.5 


1,523 

958 

3,007 

3.033 

1.951.8 


14,773 
37,289 
41.202 
2,200.3 


13,878 
16,179 
4,215.3 


3.363 

4.496 

4,191.0 


6.988 
16.877 
3,739,2 


14 

257 

207.5 


1,796 
2,347 
2,406 
558.8 


83 

103 

141.8 


39.693 

53.583 

53,589 

872.2 


187 

624 

365.1 


1.242 
3,004 
3,102 
219.2 


190 

60 

310 

312 

200.8 


10,508 
15,994 
16,418 
876.8 


1,633 
1,841 
479.7 


139 

167 

155.7 


669 
2,048 
453.7 


See  footnotes  at  end  o(  table 


324 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1987  —  Continued 

Metropolitan  Statistical  Area 

Population 

Cnme 
Index 
total 

Modified 
Cnme 
Index 
lolal' 

Violent 
crime" 

Property 
cnme' 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
ihefl 

Motor 
vehicle 
Ihefl 

Arson' 

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

254,862 

(Includes  Chattahoochee  and 

Muscogee  Counties.  Ga..  and  Russell 

County.  Al ) 

City  of  Columbus 

183,654 

9,465 

699 

8,766 

19 

71 

296 

313 

2.354 

5.888 

524 

Tola!  area  actually  reporting 

100.0% 

11,748 

1,144 

10,604 

24 

93 

329 

698 

2,878 

7.081 

645 

Rate  per  100.000  inhabitants 

4.609.6 

448,9 

4.160,7 

9.4 

365 

129,1 

273,9 

1.129,2 

2.778,4 

253.1 

Columbus,  Oh.  M.S.A 

1,282,823 

(Includes  Delaware.  Fairfield. 

Franklin.  Licking.  Madison.  Pickaway 

and  Union  Counties.) 

City  of  Columbus 

567,800 

51.941 

5,381 

46.560 

85 

534 

2.864 

1,898 

14.218 

28,786 

3.556 

Total  area  actually  reporting 

96.1% 

79.108 

7,470 

71.638 

102 

729 

3,363 

3,276 

19,836 

46,915 

4.887 

£stimaled  total       

100.0% 

81,218 

7,592 

73.626 

103 

739 

3,398 

3,352 

20,213 

48,363 

5,050 

Rate  per  100.000  inhabitants 

6,331.2 

591,8 

5,739,4 

8.0 

57.6 

264,9 

261.3 

1,575.7 

3,770,0 

393,7 

Corpus  Christ!,  Tx.  M.S.A 

366,757 

(Includes  Nueces  and  San  Patricio 

Counties.) 

City  of  Corpus  Christi 

265,593 

25.440 

1,825 

23.615 

20 

166 

391 

1.248 

6,477 

16,086 

1.052 

Total  area  actually  reporting 

100.0% 

29.503 

2.128 

27.375 

30 

193 

421 

1.484 

7,934 

18,227 

1,214 

Rale  per  100.000  inhabitants 

8.044.3 

580,2 

7.464,1 

8,2 

52.6 

114,8 

404.6 

2,163,3 

4,969,8 

331.0 

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

103,082 

(Includes  Allegany  County.  Md..  and 

Mineral  County.  W.V.) 

City  of  Cumberland 

23.603 

976 

51 

925 

2 

2 

12 

35 

177 

718 

30 

Total  area  actually  reporting 

100.0% 

2,377 

176 

2.201 

3 

10 

27 

136 

511 

1,603 

87 

Rate  per  100.000  inhabitants 

2,305.9 

170,7 

2.135,2 

2,9 

9.7 

26,2 

131,9 

495,7 

1,555,1 

84.4 

Dallas,  Tx.  M.S.A 

2,353,710 

(Includes  Collin.  Dallas.  Denton.  Ellis, 

Kaufman  and  Rockwall  Counties.) 

City  of  Dallas 

1.009.947 

164,452 

20.086 

144,366 

323 

1.260 

9,091 

9.412 

39,237 

85,255 

19,874 

Total  area  actually  reporting 

100.0% 

262,035 

24.684 

237,351 

394 

1.727 

10,548 

12,015 

65,076 

144,796 

27,479 

Rate  per  100.000  inhabitants 

11,132,8 

1,048.7 

10,084  1 

167 

73.4 

448,1 

510,5 

2,764,8 

6,151,8 

1,167.5 

Danbury,  Ct.  M.S.A 

162,065 

(Includes  part  of  Fairfield  and 

Litchfield  Counties.) 

City  of  Danbury 

64,981 

2,827 

98 

2,729 

1 

17 

47 

33 

582 

1.885 

262 

Total  area  actually  reporting  

100,0% 

4,413 

171 

4,242 

2 

26 

57 

86 

1,013 

2.849 

380 

Rate  per  100.000  inhabitants 

2,723.0 

105.5 

2,617,5 

1,2 

16.0 

35.2 

53.1 

625.1 

1.757,9 

234.5 

Danville,  Va.  M.S.A 

112,536 

(Includes  Pittsylvania  County  and 

Danville  City.) 

City  of  Danville 

45.606 

1.644 

57 

1,587 

3 

7 

13 

34 

278 

1.262 

47 

Total  area  actually  reporting 

100.0% 

2,612 

132 

2,480 

6 

16 

24 

86 

615 

1.778 

87 

Rate  per  100.000  inhabitants     

2,321.0 

117,3 

2,203.7 

5,3 

14,2 

21.3 

76.4 

546,5 

1.579.9 

773 

Davenport-Rock  Island-Moline,  la. -11. 

M.S.A.' 

371,002 

(Includes  Scott  County,  la.,  and 

Henry  and  Rock  Island  Counties,  11.) 

City  of; 

Davenport 

98.168 

6.757 

833 

5,924 

4 

59 

129 

641 

1,628 

4,109 

187 

Rock  Island' 

43.848 
44.630 

2,271 
1,939 

1 

38 
17 

208 
78 

309 
395 

1,887 
1,497 

75 
47 

Moline' 

Total  area  actually  reporting 

100.0% 

14,421 

8 

210 

1.059 

3,305 

10,680 

436 

Rate  per  100,000  inhabitants  

3,887,0 

2,2 

56.6 

285.4 

890.8 

2,878.7 

117.5 

Daytona  Beach,  Fl.  M.S.A 

330,468 

(Includes  Volusia  County.) 

City  of  Daytona  Beach   

59.781 

9,525 

1,221 

8,304 

13 

75 

384 

749 

2.812 

4,959 

533 

Total  area  actually  reporting  .      ,. 

100.0% 

25,264 

2,478 

22,786 

31 

156 

749 

1,542 

7,757 

13,801 

1,228 

Rale  per  100.000  inhabitants 

7,644,9 

749.8 

6,895,1 

9.4 

47.2 

226,6 

466,6 

2,347.3 

4.176.2 

371.6 

Decatur  IL,  M.S.A.' 

127,071 

(Includes  Macon  County.) 

City  of  Decatur' 

90,624 

6,616 

3 

172 

363 

1,714 

4,7  31 

171 

Total  area  actually  reporting 

99.0% 

7,415 

4 

173 

391 

1,933 

5,281 

201 

Estimated  total 

100.0% 

7,471 

4 

174 

394 

1,945 

5,320 

206 

Rate  per  100,000  inhabitants 

5,879,4 

3.1 

136.9 

310.1 

1,530.6 

4,186.6 

162.1 

Denver,  Co.  M.S.A 

1,647,649 

(Includes  Adams.  Arapahoe.  Denver. 

Douglas  and  Jefferson  Counties.) 

City  of  Denver 

509.529 

46,184 

3,841 

42,343 

79 

401 

1,612 

1,749 

13,704 

23,174 

5,465 

Total  area  actually  reporting 

100.0% 

118.989 

9,497 

109,492 

127 

751 

2,920 

5,699 

30,080 

69,484 

9,928 

Rate  per  100.000  inhabitants 

7,221,7 

576.4 

6,645,3 

7,7 

45.6 

177,2 

345.9 

1,825.6 

4,217.2 

602.6 

Des  Moines,  la.  M.S.A 

379,154 

(Includes  Dallas.  Polk  and  Warren 

Counties.) 

City  of  Des  Moines 

190,128 

19,557 

1.118 

18,439 

14 

64 

337 

703 

3,772 

13.895 

772 

Total  area  actually  reporting 

100.0% 

27,998 

1,613 

25,385 

15 

81 

399 

1,118 

5,699 

19,586 

1.100 

Rate  per  100,000  inhabitants 

7,384,3 

425,4 

6.958.9 

4,0 

21,4 

1052 

294.9 

1,503,1 

5,165.7 

290.1 

See  footnotes  at  end  of  table. 


325 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1987  —  Continued 

Murder 

Metropolitan  Statistical  Area 

Population 

Crime 
Index 
total 

Modified 
Cnme 
Index 
total' 

Violenl 
crime^ 

Properly 
cnme' 

and  non- 
negligent 
man- 

Forcible 
rape 

Robljery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
Iheft 

Motor 
vehicle 
theft 

Arson' 

slaughter 

Detroit,  Mi.  M.S.A 

4,369,049 

(Includes  Lapeer,  Livingston,  Macomb. 

Monroe.  Oakland.  St    Clair  and 

Wayne  Counties.) 

City  of  Detroit  

1,091.523 
99,3% 

138.411 
333.569 

27.778 
44,565 

110.633 
289,004 

686 
880 

1.417 

2.745 

15.093 
20,325 

10.582 
20,615 

36.900 
73.824 

43,914 
159,067 

29,819 
56,113 

Total  area  actually  reporting 

Hstiniatcd  total    

100.0% 

335.560 
7.680.4 

44.731 
1,023.8 

290,829 
6.6566 

882 
202 

2.758 
63  1 

20.376 
466.4 

20,715 
474  1 

74.190 
1.698  1 

160,291 
3,668.8 

56,348 
1,289.7 

Rate  per  100.000  inhabitants 

Dothan,  Al.  M.S.A 

130,884 

(Includes  Dale  and  Houston 

Counties.) 

City  of  Dothan 

53.714 

4.154 

299 

3.855 

1 

12 

35 

251 

944 

2,818 

93 

Total  area  actually  reporting 

97,2% 

5.843 

570 

5.273 

10 

24 

60 

476 

1.287 

3,827 

159 

Estimated  total 

100,0% 

6.057 

599 

5.458 

10 

25 

65 

499 

1.336 

3,952 

170 

Rale  per  100.000  inhabitants 

4.627.8 

457.7 

4,170.1 

7,6 

19.1 

49.7 

381.3 

1.02O8 

3,019.5 

129,9 

Dubuque,  la.  M.S.A 

90,613 

(Includes  Dubuque  County.) 

City  of  DubuQue 

59,348 

2,956 

236 

2.720 

2 

2 

17 

215 

550 

2,048 

122 

Total  area  actually  reporting 

100,0% 

3,464 

271 

3.193 

2 

2 

17 

250 

632 

2.422 

139 

Rate  per  100,000  inhabitants 

3,822,9 

299.1 

3,523.8 

2,2 

2.2 

18.8 

275.9 

697.5 

2.672,9 

153.4 

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

245,124 

(Includes  St    Louis  County,  Mn.,  and 

Douglas  County.  Wi.) 

City  of  Duluth 

82.964 

4.826 

233 

4,593 

4 

29 

41 

159 

931 

3.353 

309 

Total  area  actually  reporting 

100.0% 

9.989 

399 

9.590 

5 

91 

63 

240 

2.329 

6.710 

551 

Rate  per  100.000  inhabitants 

4.075.1 

162.8 

3.9123 

2,0 

37.1 

25.7 

97.9 

950.1 

2.737.4 

224.8 

Eau  aaire,  Wi.  M.S.A 

137,332 

(Includes  Chippewa  and  Eau  Claire 

Counties.) 

City  of  Eau  Claire 

54.842 

2.791 

63 

2.728 

1 

4 

18 

40 

470 

2.180 

78 

Total  area  actually  reporting 

100.0% 

4.776 

95 

4,681 

1 

9 

26 

59 

840 

3.712 

129 

Rate  per  100.000  inhabitants. 

3.477,7 

69.2 

3.408,5 

7 

66 

18.9 

43.0 

611.7 

2.702.9 

93,9 

Elkhart-Goshen,  In.  M.S.A 

147,129 

(Includes  Elkhart  County  ) 

City  of: 

Elkhart 

44,400 

3.469 

111 

3.358 

4 

28 

55 

24 

670 

2,492 

196 

Goshen 

21.476 

1.149 

13 

1.136 

7 

3 

3 

148 

930 

58 

Total  area  actually  reporting 

100.0% 

6,840 

399 

6.441 

6 

53 

78 

262 

1.396 

4.670 

375 

Rate  per  1 00.000  inhabitants 

4,649,0 

271.2 

4,377,8 

4  1 

36.0 

53.0 

178.1 

948.8 

3.174.1 

254.9 

Elmira,  N.Y.  M.S.A 

90,769 

(Includes  Chemung  County.) 

City  of  Elmira 

32.547 

2,382 

129 

2,253 

2 

9 

60 

58 

389 

1.828 

36 

Total  area  actually  reporting 

92.8% 

3,843 

271 

3,572 

4 

25 

72 

170 

638 

2.865 

69 

Estimated  total 

100.0% 

4,078 

289 

3,789 

4 

26 

78 

181 

686 

3.018 

85 

Rate  per  100.000  inhabitants 

4,492,7 

318.4 

4.174.3 

4.4 

28.6 

85.9 

199.4 

755.8 

3.324.9 

93.6 

EI  Paso.  Tx.  M.S.A 

565,102 

(Includes  El  Paso  County.) 

City  of  El  Paso 

494,954 

42.078 

4.332 

37.746 

25 

219 

969 

3,119 

10.459 

24.594 

2.693 

Total  area  actually  reporting 

100.0% 

44.502 

4,565 

39.937 

29 

257 

997 

3,282 

11.178 

25,902 

2.857 

Rate  per  100.000  inhabitants 

7.875,0 

807.8 

7.067.2 

5.1 

45.5 

176.4 

580.8 

1,978.0 

4.583.6 

505,6 

Enid,  Ok.  M.S.A 

62,261 

(Includes  Garfield  County.) 

City  of  Enid                  

49,838 

3.917 

274 

3,643 

3 

24 

55 

192 

1,136 

2.385 

122 

Total  area  actually  reporting 

100,0% 

4.131 

278 

3,853 

3 

27 

55 

193 

1.216 

2.509 

128 

Rate  per  100.000  inhabitants 

6.6350 

446.5 

6,188.5 

48 

43-4 

88.3 

3100 

1.953.1 

4.029,8 

205.6 

Erie,  Pa.  M.S.A 

280,299 

(includes  Erie  County.) 

City  of  Erie  

115,724 

6.071 

635 

5.436 

5 

64 

236 

330 

1.437 

3.664 

335 

Total  area  actually  reporting 

100,0% 

9.862 

807 

9.055 

7 

89 

259 

452 

2,397 

6.083 

575 

Rate  per  100.000  inhabitants 

3,518,4 

287.9 

3,2305 

2.5 

31.8 

92.4 

161.3 

855.2 

2.170,2 

205.1 

Eugene-Springfleld,  Or.  M.S.A 

265,746 

(Includes  Lane  County.) 

City  of: 

Eugene  

106.430 
38.771 

10.419 
3.573 

378 
172 

10.041 
3,401 

3 

1 

48 
21 

161 

47 

166 
103 

2,459 
998 

7.035 
2.212 

547 
191 

Springfield 

Total  area  actually  reporting 

100.0% 

18.335 

804 

17,531 

8 

110 

250 

436 

4,938 

11.574 

1,019 

Rate  per  100,000  inhabitants 

6,8994 

302.5 

6.596.9 

30 

41.4 

94.1 

164  1 

1.858.2 

4,355.3 

383.4 

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

282,295 

(Includes  Posey.  Vanderburgh  and 

Warnck  Counties,  In.,  and  Henderson 

County.  Ky.) 

City  of  Evansviile 

130.125 

6.597 

635 

5.962 

4 

32 

124 

475 

1.538 

4,132 

292 

Total  area  actually  reporting 

76.9% 

9.467 

863 

8.604 

8 

49 

140 

666 

1.995 

6.222 

387 

Estimated  total 

100.0% 

11.670 
4.134.0 

1.003 
355.3 

10.667 
3.778.7 

10 
3.5 

63 

22.3 

170 
60.2 

760 
269.2 

2.491 
882.4 

7,594 
2,690, 1 

582 
206,2 

Rate  per  100.000  inhabitants 

See  footnotes  at  end  of  table. 


326 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1987  —  Continued 


Metropolitan  Slalisticai  Area 


Population 


Cnme 
Index 

total 


Modified 
Cnme 
Inden 
total' 


Violent 
cnme" 


Property 
cnme' 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Fall  River.  Ma.-R.I.  M.S.A 

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

City  of  Fall   River  

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

Fargo   

Moorhead       

Total  area  actually  reporting 

Rate  per    100,000  inhabitants 

Fayetteville,  N.C.  M.S.A 

(Includes  Cumberland  County.) 
City  of  Fayetteville 
Total  area  actually   reporting 
Rate  per    100.000  inhabitants 
Fayetteville-Springdale,  Ar.  M.S.A.... 
(Includes  Washington  County.) 
City  of 
Fayetteville 
Springdale 

Total  area  actually  reporting 

Estimated  total     

Rate  per  100.000  inhabitants 

Flint,  Mi.  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  Collins-roveland.  Co.  M.S.A 

(Includes  Lanmer  County  ) 
City  of 

Fort  Collins    

Loveland  

Total  area  actually  reporting 

Rate  per    100.000  inhabitants 

Fort  Lauderdale-Holly wood- Pom  pano 

Beach,  Fl.  M.S.A 

(Includes  Broward  County.) 
City  of: 

Fort  Lauderdale 

Hollywood       

Pompano  Beach 

Total  area  actually  reporting 
Rate  per  100,000  inhabitants 
Fort  Myers-Cape  Coral,  Fl.  M.S.A... 
(Includes  Lee  County.) 
City  of 

Fort   Myers 

Cape  Coral  

Total  area  actually   reporting. 
Rate  per   100.000  inhabitants.. 

Fort  Pierce,  Fl.  M.S.A 

(Includes  Martin  and  St.   Lucie 
Counties) 

City  of  Fort   Pierce 

Total  area  actually   repK>rting 

Rate  per    100.000  inhabitants 


156,738 


90.778 
88.3% 
100,0% 

144,492 


108,751 


40,389 
26,352 
98.7% 
100.0% 


7.357 

9.089 

9,672 

6.170.8 


67.220 

3.865 

28.561 

1.864 

loomc 

6.670 

4.616,2 

261,823 

76.744 

9.090 

100,0% 

20.788 

7,939,7 

2.164 
1.594 
4.809 
4,896 
4.502.0 


436,933 

146.301 

22.697 

99.0% 

36.950 

100,0% 

37,211 

8.516.4 

138,743 

36.373 

2,099 

99.3% 

4,450 

100.0% 

4,505 

3.247,0 

117,621 

32.113 

2.663 

100,0% 

6,083 

5.171,7 

176,166 

74.805 

5.019 

35.828 

1.804 

100.0% 

9.410 

5.341,6 

,176,462 

153.051 

22.012 

124.515 

13.188 

68.730 

11.648 

100.0% 

100.135 

8.511  5 

287,422 

40,704 

5.589 

51,707 

2.362 

100.0% 

13.390 

4.6587 

211,833 

37,990 

7.470 

100,0% 

17.548 

8,283.9 

556 

6.801 

686 

8.403 

731 

8.941 

466,4 

5.704,4 

46 

34 

135 

93,4 


1.187 
1.963 

749,7 


96 

68 

223 

229 

2106 


3,819 
1.830 
6.535 

4.522,7 


7.903 
18.825 
7.190.0 


2,068 
1,526 
4,586 
4.667 
4.291.5 


4 
5 

5 
3.2 


14 

25 
9,5 


4.563 

18,134 

52 

5,905 

31,045 

64 

5,927 

31,284 

64 

1.356,5 

7,159,9 

146 

159 

1,940 

3 

302 

4.148 

7 

309 

4.196 

7 

222,7 

3.024.3 

5,0 

330 

2.333 

5 

831 

5.252 

17 

706.5 

4,465.2 

14.5 

363 

4,656 

2 

96 

1,708 

1 

513 

8,897 

3 

291.2 

5,050.4 

1.7 

1.889 

20.123 

53 

1.100 

12,088 

7 

1.973 

9.675 

8 

10.503 

89.632 

134 

892,8 

7.618,8 

11,4 

642 

4.947 

15 

80 

2,282 

4 

1.021 

12.369 

35 

355,2 

4.303,4 

12,2 

1.222 

6,248 

17 

2.274 

15.274 

27 

1,073.5 

7,210.4 

12.7 

35 

38 

41 

26.2 


7 

36 

24.9 


73 
194 

74,1 


10 
7 

20 

21 

19.3 


164 

175 

185 

118.0 


338 

541 

206,6 


13 

6 

28 

29 

26.7 


276 

1.379 

410 

1,701 

412 

1,708 

94.3 

3909 

10 

18 

18 

46 

18 

47 

13,0 

33,9 

29 

54 

69 

85 

58.7 

72,3 

38 

41 

13 

7 

57 

56 

32,4 

31.8 

101 

1.198 

38 

559 

80 

676 

510 

4.743 

43,4 

403,2 

25 

277 

1 

11 

63 

444 

21,9 

154,5 

39 

334 

107 

487 

50.5 

229.9 

353 

468 

500 

319.0 


26 

22 

79 

54,7 


762 
1.203 
459.5 


71 
54 
172 
176 
161.8 


2.856 
3.730 
3.743 
856.7 


128 

231 

237 

170.8 


242 

660 

561.1 


282 

75 

397 

225,4 


537 

496 

1,209 

5.116 

434,9 


325 

64 

479 

166.7 


832 
1.653 
780.3 


2.146 

2.567 

2.698 

1.721,3 


447 

201 

855 

591,7 


2.494 

6,937 

2,649.5 


613 

327 

1,281 

1,301 

1,196,3 


6,586 

9,565 

9,613 

2,200, 1 


350 
1.026 
1.039 
748.9 


557 

1.664 

1.414.7 


856 

260 

1.702 

966.1 


6,162 

3,052 

2,964 

24,716 

2,100.9 


1,373 

683 

4.071 

1.416,4 


1,987 

5,109 

2.411,8 


3,211 

3.990 

4,299 

2.742,8 


3.164 

1.583 

5.376 

3.720.6 


4.880 
10.591 
4.045,1 


1.352 
1.091 
3,022 
3,079 
2,831.2 


9,709 
18,550 
18.710 
4,282.1 


1,461 

2,832 

2,864 

2,064.2 


1,667 

3,297 

2,803.1 


3,646 

1,371 

6,864 

3,896.3 


11.466 
7.915 
5.694 

55.418 
4,710.6 


3.195 

1.492 

7.175 

2.496,3 


3.893 

9,304 

4,392.1 


1.444 

1.846 

1.944 

1.240.3 


208 

46 

304 

210.4 


529 
1,297 
495,4 


103 
108 
283 
287 
263.9 


1,839 
2,930 
2,961 
677,7 


129 

290 

293 

211,2 


109 

291 

247.4 


154 

77 

331 

187.9 


2.495 
1.121 
1.017 
9.498 
807.3 


379 

107 

1.123 

3907 


368 

861 

406.5 


See  footnotes  at  end  of  table. 


327 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  SUtistical  Areas,  1987  —  Continued 


Melropolilan  Slalistical  Area 

Popuialion 

Cnme 
Inden 
total 

Modified 
Cnme 
Index 
lolal' 

Violenl 
cnme" 

Property 
cnme' 

Murder 
and  non- 
negligenl 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
Ihefl 

Motor 
vehicle 
ihefl 

Arson' 

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

175,821 

(Includes  Crawford  and  Sebastian 

Counties,  Ar.,  and  Sequoyah  County, 
Ok.) 

Cily  of  Fori  Smith 

74.837 

6,849 

553 

6,296 

4 

57 

98 

394 

1,368 

4,396 

532 

Total  area  actually  reporting 

100.0% 

8,947 

629 

8.318 

8 

66 

109 

446 

2,235 

5,426 

657 

Rate  per  100,000  inhabitants 

5,088.7 

357,8 

4,730.9 

4.6 

37,5 

62.0 

253.7 

1,271.2 

3,086.1 

373.7 

Fort  Walton  Beach,  Fl.  M.S.A 

145,513 

(Includes  Okaloosa  County.) 

City  of  Fort  Walton  Beach 

23,572 

1,847 

152 

1,695 

2 

13 

28 

109 

448 

1,180 

67 

Total  area  actually  reporting 

100.0% 

5,330 

372 

4,958 

10 

39 

84 

239 

1,317 

3,405 

236 

Rate  per  100,000  inhabitants 

3,662.9 

255.6 

3,407.3 

6.9 

26.8 

57.7 

164.2 

905.1 

2,340,0 

162.2 

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

1,332,814 

(Includes  Johnson,  Parker  and  Tarrant 

Counties.) 

City  of; 

Fort  Worth                         

432,305 
251,372 
100.0% 

77,563 
20,232 
142,052 

7,691 

1,412 

11,454 

69,872 

18,820 

130.598 

135 

18 

189 

476 
92 

745 

3,270 

511 

4,511 

3,810 

791 

6,009 

20,567 
4,749 
36,222 

38,492 
11,769 
77,080 

10,813 
2,302 
17,296 

Arlinston                     

Total  area  actually  reporting 

Rate  per  100.000  inhabitants 

10,658.1 

859.4 

9,798.7 

14.2 

55.9 

338.5 

450.9 

2,717.7 

5,783.3 

1,297.7 

Fresno,  Ca.  M.S.A 

602,453 

(Includes  Fresno  County.) 

• 

City  of  Fresno 

291,855 
99.2% 

32.090 
47,939 

3,373 
5,521 

28,717 
42.418 

33 
67 

196 
376 

1,096 
1,380 

2,048 
3,698 

9.103 
14,171 

16,682 
24,305 

2,932 
3,942 

Total  area  actually  reporting 

Estimated  total 

100.0% 

48,234 
8,006.3 

5,557 
922,4 

42,677 
7,083.9 

67 
11.1 

378 
62.7 

1,391 
230.9 

3.721 
617.6 

14,239 
2,363.5 

24.462 
4,060.4 

3,976 
660.0 

Rate  per  100,000  inhabitants 

Gadsden,  Al.  M.S.A 

102,622 

(Includes  Etowah  County.) 

City  of  Gadsden 

45,522 
100.0% 

2,769 
3,888 

414 
548 

2,355 
3.340 

4 
9 

24 
29 

59 
68 

327 
442 

525 
865 

1,646 
2.250 

184 
225 

Total  area  actually  reporting 

Rale  per  100,000  inhabitants 

3,788.7 

534,0 

3,254.7 

8,8 

28.3 

66.3 

430.7 

842,9 

2,192.5 

219.3 

Gainesville,  Fl.  M.S.A 

205,758 

(Includes  Alachua  and  Bradford 

Counties.) 

City  of  Gainesville 

87,709 

9,575 

1.262 

8.313 

8 

60 

299 

895 

2,888 

5,032 

393 

Total  area  actually  reporting 

100-0% 

18,250 

2,122 

16,128 

11 

116 

454 

1,541 

5,571 

9,776 

781 

Rate  per  100,000  inhabitants 

8.869.6 

1,031,3 

7,838.3 

5.3 

56.4 

220.6 

748.9 

2,707.5 

4,751.2 

379.6 

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

216,178 

(Includes  Galveston  County.) 

City  of 

Galveston   

60,596 

7,163 

779 

6,384 

21 

63 

331 

364 

1,876 

3,986 

522 

Texas  City 

42,521 

3,690 

254 

3.436 

1 

16 

92 

145 

1,047 

2,179 

210 

Total  area  actually  reporting 

100.0% 

15,709 

1,257 

14,452 

30 

121 

478 

628 

4,386 

9.018 

1,048 

Rate  per  100.000  inhabitants 

7,266.7 

581.5 

6,685,2 

13,9 

56.0 

221.1 

290.5 

2,028.9 

4,171.6 

484.8 

Gary-Hammond,  In.  M.S.A 

617,861 

(Includes  Lake  and  Porter  Counties.) 

City  of 

Gary    

137.471 
86.810 
96.3% 

8,405 

6.108 

29,162 

1,338 

945 

3,167 

7,067 

5.163 

25.995 

44 

6 

62 

65 
41 
159 

577 

272 

1,044 

652 

626 

1,902 

2,620 
1,353 
6,524 

2,518 
2.826 
14.733 

1,929 

984 

4,738 

Hammond  

Total  area  actually  reporting 

Estimated  total 

100.0% 

30,269 
4,899,0 

3,226 
522,1 

27,043 
4.376.9 

63 
10,2 

164 
26,5 

1,057 
171.1 

1,942 
314.3 

6,709 
1,085,8 

15.518 
2,511.6 

4,816 
779.5 

Rale  per  100,000  inhabitants 

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

112,734 

(Includes  Warren  and  Washington 

Counties.) 

Cily  of  Glens  Falls 

16,128 

421 

11 

410 

1 

4 

6 

130 

243 

37 

Total  area  actually  reporting 

97.7% 

3,277 

216 

3,061 

2 

15 

22 

177 

825 

2,073 

163 

Estimated  total 

100.0% 

3,371 
2,990.2 

222 
196.9 

3,149 
2,793.3 

2 
1,8 

15 
13,3 

24 
21.3 

181 
160.6 

844 
748,7 

2,135 
1,893.8 

170 
150.8 

Rate  per  100,000  inhabitants 

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

68,582 

(Includes  Grand  Forks  County.) 

City  of  Grand  Forks 

44,560 

2,478 

43 

2,435 

3 

6 

8 

26 

387 

1,940 

108 

Total  area  actually  reporting 

100.0% 

3,006 

51 

2,955 

3 

6 

9 

33 

427 

2,400 

128 

Rate  per  100,000  inhabitants 

4,383.1 

74.4 

4,308.7 

4.4 

8,7 

13.1 

48.1 

622.6 

3,499.5 

186.6 

Grand  Rapids,  Mi.  M.S.A 

656,871 

(Includes  Kent  and  Ottawa  Counties.) 

Cily  of  Grand  Rapids 

187,441 

17,335 

2,251 

15,084 

15 

268 

504 

1.464 

3,984 

9.970 

1,130 

Total  area  actually  reporting 

99.9% 

34,129 

3,059 

31,070 

23 

452 

602 

1.982 

6,911 

22.163 

1,996 

Estimated  total 

100-0% 

34,157 
5.200.0 

3,061 
466.0 

31,096 
4,734.0 

23 
3,5 

452 
68.8 

603 
91.8 

1.983 
301.9 

6,916 
1,052.9 

22.181 
3,376.8 

1,999 
304.3 

Rale  per  100,000  inhabitants 

Greeley,  Co.  M.S.A 

136,231 

(Includes  Weld  County.) 

City  of  Greeley 

57,431 

5.106 

337 

4,769 

4 

27 

40 

266 

1.013 

3,612 

144 

Total  area  actually  reporting 

100.0% 

8,694 

593 

8,101 

9 

50 

52 

482 

1,826 

5.987 

288 

Rate  per  100,000  inhabitants 

6,381.8 

435.3 

5,946.5 

6,6 

36,7 

38.2 

353.8 

1,340.4 

4.3947 

211.4 

Green  Bay,  Wi,  M.S.A 

188,065 

(Includes  Brown  County.) 

City  of  Green  Bay 

93,902 

5,321 

200 

5,121 

3 

29 

27 

141 

868 

4,077 

176 

Total  area  actually  reporting 

100.0% 

8,268 

300 

7,968 

3 

30 

36 

231 

1.433 

6,272 

263 

Rate  per  100,000  inhabitants,    , 

4.396.4 

159,5 

4,236.8 

16 

160 

19.1 

122.8 

762.0 

3,335.0 

139,8 

See  footnotes  at  end  of  table. 


328 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1987  —  Continued 

Metropolitan  Statistical  Area 

Population 

Cnme 
Index 
total 

Modified 
Cnme 
Index 
total' 

Violent 
cnme" 

Property 
cnme' 

Murder 
and  non- 
negligent 
man- 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
theft 

Motor 
vehicle 
iheft 

Arson' 

slaughter 

Greensboro-Winston-Salem-High 

Point,  N.C.  M.S.A 

912,331 

(Includes  Davidson,  Davie,  Foi^yth, 

Guiirord.  Randolph,  Stokes  and 

Yadkin  Counties.) 

Cily  of: 

Greensboro 

178.921 

11,725 

1.080 

10.645 

18 

81 

310 

671 

2,534 

7,655 

456 

Winslon-Salcm 

149,984 
67,416 
99.7% 

13,562 

5,703 

43,560 

2.567 

587 

5,248 

10,995 

5,116 

38,312 

22 
4 
80 

103 

23 

268 

365 
123 
918 

2.077 

437 

3.982 

3,543 

1,274 

11,570 

6,801 

3,568 

24,734 

651 

274 

2,008 

High  Point 

Total  area  actually  reporting 

Estiinated  total 

100.0% 

43,758 

5,270 

38,488 

80 

269 

921 

4,000 

11,618 

24.853 

2,017 

Rate  per  100,000  inhabitants 

4,796.3 

577.6 

4.218.6 

8.8 

29.5 

101.0 

438.4 

1,273.4 

2,724.1 

221.1 

Greenville-Spartanburg,  S.C.  M.S.A. .. 

615,908 

(Includes  Greenville,  Ptckens  and 

Spartanburg  Counties.) 

City  of: 

Greenville      

59.186 

6,146 

759 

5.387 

12 

35 

162 

550 

1.216 

3,912 

259 

Spartanburg ,,..,, 

44.828 

4,795 

606 

4.189 

7 

39 

85 

475 

1.181 

2,807 

201 

Total  area  actually  reporting 

99.7% 

33,237 

3,784 

29.453 

63 

263 

597 

2,861 

7.985 

19,718 

1,750 

Estimated  total 

100.0% 

33,368 

3,798 

29.570 

63 

264 

600 

2.871 

8.013 

19,801 

1.756 

Rate  per  100,000  inhabitants 

5.4177 

616.7 

4.801.0 

10.2 

42.9 

97.4 

4661 

1,301.0 

3.214.9 

285.1 

Hagerstown,  Md.  M.S.A 

115,933 

(Includes  Washington  County.) 

City  of  Hagerstown 

34.211 

1.849 

161 

1.688 

1 

4 

89 

67 

471 

1.126 

91 

Total  area  actually  reporting 

100.0% 

3.355 

460 

2,895 

1 

18 

111 

330 

850 

1,868 

177 

Rate  per  100,000  inhabitants 

2.893.9 

3968 

2.497.1 

.9 

15.5 

95.7 

284.6 

733.2 

1.611.3 

152.7 

Hamilton-Middletown,  Oli.  M.S.A 

266.203 

(Includes  Butler  County  ) 

City  of: 

Hamilton 

64,157 

5,499 

637 

4.862 

5 

67 

120 

445 

1,410 

3,197 

255 

Middletown  

43,921 

2,526 

95 

2,431 

2 

27 

28 

38 

551 

1.781 

99 

Total  area  actually  reporting 

96.7% 

14,322 

1.049 

13,273 

10 

113 

181 

745 

3.238 

9,395 

640 

Estimated  total  

100.0% 

14.690 
5.518.3 

1.070 
4019 

13,620 
5.1164 

10 
3.8 

115 

43.2 

187 
70.2 

758 
284.7 

3.304 
1.241.2 

9,648 
3,624.3 

668 
250.9 

Rate  per  100,000  inhabitants 

Hartford,  Ct.  M.S.A 

748,377 

(Includes  part  of  Hartford,  Litchfield. 

Middlesex.  New  London  and  Tolland 

Counties.) 

City  of  Hartford 

138,945 

22.854 

2.961 

19,893 

24 

124 

1,433 

1,380 

5,765 

11.422 

2.706 

Total  area  actually  reporting 

100.0% 

44.640 

4.165 

40,475 

38 

212 

1,794 

2,121 

10,562 

25.373 

4.540 

Rate  per  100.000  inhabitants 

5.964.9 

556.5 

5,408.4 

5.1 

28.3 

239.7 

283.4 

1.411.3 

3.390,4 

606.6 

Hickory,  N.C.  M.S.A 

220,499 

(Includes  Alexander.  Burke  and 

Catawba  Counties.) 

City  of  Hickory 

26,081 

1.933 

185 

1,748 

2 

19 

32 

132 

444 

1.211 

93 

Total  area  actually  reporting 

100.0% 

6.809 

857 

5.952 

16 

34 

69 

738 

1,803 

3.813 

336 

Rate  per  100,000  inhabitants 

3.088.0 

388,7 

2,699.3 

7.3 

15.4 

31.3 

334.7 

817.7 

1,729.3 

152.4 

Honolulu,  Hi.  M.S.A 

832,614 

(Includes  Honolulu  County.) 

Total  area  actually  reporting 

100.0% 

48.949 

2,258 

46.691 

36 

322 

985 

915 

9,136 

34.239 

3,316 

Rate  per  lOO.OCO  inhabitants 

5.879.0 

271,2 

5.607.8 

4.3 

38.7 

118.3 

109.9 

1,097.3 

4.112.2 

398.3 

Houston,  Tx.  M.S.A 

3,252,223 

(Includes  Fort  Bend.  Harris,  Liberty, 

Montgomery  and  Waller  Counties.) 

City  of  Houston  

1,739,999 

163,428 

18.971 

144.457 

323 

1,172 

9.692 

7,784 

44,601 

71.206 

28,650 

Total  area  actually  reporting 

100.0% 

248,639 

24.862 

223,777 

450 

1,652 

11,497 

11,263 

70.474 

114.991 

38,312 

Rate  per  100,000  inhabitants 

7,645,2 

764.5 

6,8807 

13.8 

50.8 

353.5 

346.3 

2,166.9 

3.535.8 

1.178.0 

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

M.S.A 

327,356 

(Includes  Cabell  and  Wayne  Counties. 

W.V.,  Boyd,  Carter  and  Greenup 

Counties,  Ky..  and  Lawrence  County. 

Oh.) 

City  of: 

Huntington 

58,627 

3,953 

322 

3,631 

5 

44 

97 

176 

1.021 

2,378 

232 

Ashland 

26,064 
84.2% 

1,023 
8.227 

78 
730 

945 
7,497 

14 

4 
78 

8 
139 

66 

499 

279 
2.207 

611 

4,720 

55 
570 

Total  area  actually  reporting 

Estimated  total 

100.0% 

9.503 

841 

8,662 

15 

88 

160 

578 

2.516 

5,501 

645 

Rate  per  100.000  inhabitants 

2,903.0 

256.9 

2,6460 

4.6 

269 

48.9 

1766 

768.6 

1,6804 

197.0 

Huntsville,  Al.  M.S.A 

235,470 

(Includes  Madison  County.) 

City  of  Huntsville  

164,658 

12,737 

761 

11.976 

16 

68 

213 

464 

2.217 

9,219 

540 

Total  area  actually  reporting 

100.0% 

13,800 

879 

12.921 

19 

78 

227 

555 

2.503 

9,835 

583 

Rale  per  100.000  inhabitants 

5.860.6 

373.3 

5,487.3 

8.1 

33.1 

96.4 

235.7 

1,063.0 

4.176.8 

247.6 

Sec  footnotes  al  end  of  table. 


329 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1987  —  Continued 

Melropolitan  Slalistical  Area 

Population 

Cnme 
Index 
total 

Modified 
Cnme 
Index 
lolal' 

Violent 
cnme' 

Property 
cnme' 

Murder 
and  non- 
negtigenl 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
theft 

Motor 
vehicle 
Ihefl 

Arson' 

Indianapolis,  In.  M.S. A 

1,219,199 

(Includes  Boone.   Hamillon,   Hancock. 

Hendncks.  Johnson.  Marion.  Morgan 

and  Shelby  Counties  ) 

City  of  Indianapohs 

478.693 

30.358 

4.543 

25,815 

57 

432 

1.334 

2.720 

8.744 

13.336 

3.735 

Total  area  actually  reporting 

84.8% 

55.983 

5.788 

50,195 

74 

567 

1.740 

3.407 

14.222 

29.933 

6,040 

Estimated   total     

100.0% 

62.488 

6.186 

56,302 

80 

607 

1.825 

3,674 

15,638 

34.059 

6,605 

Rate  per   l(X),000  inhabitants 

5.125.3 

507  4 

4,6179 

6.6 

49,8 

149  7 

301.3 

1,282  6 

2,793-6 

541.7 

Iowa  City,  la.  M.S.A 

84,797 

(Includes  Johnson  County.) 

City  of  Iowa  City 

50.192 

2.705 

229 

2.476 

26 

19 

184 

377 

2,007 

92 

Total  area  actually  reporting 

100.0% 

4,691 

360 

4,331 

37 

25 

298 

779 

3,397 

155 

Rate  per  IOO.(XX)  inhabitants 

5.532.0 

424  5 

5,1075 

43.6 

29.5 

351.4 

918.7 

4,006-0 

182-8 

Jackson,  Mi.  M.S.A 

145,105 

(Includes  Jackson  County.) 

City  of  Jackson 

37.151 

4.004 

739 

3.265 

3 

54 

119 

563 

789 

2,294 

182 

Total  area  actually  reporting 

99.2% 

7.496 

1.352 

6.144 

9 

139 

156 

1,048 

1.449 

4,390 

305 

Estimated  total 

100.0% 

7.566 

1.358 

6.208 

9 

139 

158 

1,052 

1,462 

4.433 

313 

Rate  per  lOO.tXX)  inhabitants 

5,214.2 

935.9 

4.278.3 

62 

95-8 

108-9 

725.0 

1,007.5 

3.055-0 

215.7 

Jackson.  Tn.  M.S.A 

78,846 

(Includes  Madison  County-) 

City  of  Jackson 

53,383 

4.826 

665 

4,161 

3 

38 

157 

467 

1,043 

2.874 

244 

Total  area  actually  reporting 

100.0% 

5,497 

724 

4.773 

4 

47 

169 

504 

1,291 

3.206 

276 

Rate  per   lOO.CXX)  inhabitants 

6.971.8 

918.2 

6,0536 

5.1 

59-6 

214.3 

639.2 

1,637.4 

4.066.2 

350.0 

Jacksonville,  Fl.  M.S.A 

878,124 

(Includes  Clay.  Duval.  Nassau  and  St 

Johns  Counties.) 

City  of  Jacksonville 

629.887 

74.227 

9.577 

64.650 

147 

609 

3.876 

4,945 

20,745 

38,820 

5,085 

Total  area  actually  reporting 

100.0% 

90.566 

11,241 

79.325 

162 

707 

4.258 

6,114 

24,481 

48.916 

5,928 

Rate  per  lOO.CKX)  inhabitants 

10,313.6 

1,280.1 

9,033  5 

184 

80,5 

484  9 

696  3 

2.787.9 

5.570.5 

675.1 

Jacksonville,  N.C.  M.S.A 

128,228 

(Includes  Onslow  County.) 

City  of  Jacksonville             

29,150 

2,781 

244 

2.537 

4 

9 

47 

184 

551 

1.881 

105 

Total  area  actually  reporting 

100.0% 

5.674 

615 

5.059 

8 

29 

91 

487 

1.509 

3.330 

220 

Rate  per    100.000  inhabitants 

4,424.9 

479.6 

3,945.3 

62 

22.6 

71.0 

379.8 

1.176-8 

2,596.9 

171.6 

Janesville-Beloit,  Wi.  M.S.A 

138,436 

(Includes  Rock  County.) 

City  of 

Janesville 

52,029 

3,024 

102 

2,922 

9 

17 

76 

684 

2.116 

122 

Beloit 

33,916 

3.164 

439 

2,725 

3 

65 

371 

503 

2.131 

91 

Total  area  actually  reporting 

97.9% 

7,267 

635 

6,632 

2 

20 

84 

529 

1,433 

4.945 

254 

Estimated  total 

100.0% 

7,390 

640 

6,750 

2 

20 

85 

533 

1,454 

5.038 

258 

Rate  per  100.000  inhabitants 

5,338.2 

462,3 

4,875,9 

14 

14.4 

61.4 

385.0 

1.050-3 

3,639.2 

186-4 

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

556,888 

(Includes  Hudson  County.) 

City  of  Jersey  City 

220.981 

20,199 

3,347 

16,852 

19 

105 

2.051 

1,172 

4.613 

8.011 

4,228 

Total  area  actually  reporting 

100.0% 

39,296 

4,850 

34,446 

42 

163 

2.614 

2.031 

7,866 

17.857 

8,723 

Rale  per    100,000  inhabitants 

7.056-4 

870-9 

6,1854 

7.5 

29  3 

4694 

364.7 

1.412.5 

3.206.6 

1.566.4 

Johnson  City-Kingsport-Bristol, 

Tn.-Va.  M.S.A 

448,779 

(Includes  Carter.  Hawkins.  Sullivan. 

Unicoi  and  Washington  Counties.  Tn.. 

Bnstol  City  and  Scott  and  Washington 

Counties.  Va.) 

City  of: 

Johnson  City 

45,185 

2.322 

92 

2,230 

3 

12 

27 

50 

538 

1,557 

135 

Kingspoin 

31,811 

2.352 

152 

2,200 

5 

4 

28 

115 

328 

1,776 

96 

Bristol   

18,365 

757 

40 

717 

4 

10 

26 

154 

527 

36 

Total  area  actually  reporting 

87.0% 

11.182 

663 

10,519 

18 

52 

117 

476 

2.896 

7,022 

601 

Estimated  total      

100.0% 

13.232 

846 

12,386 

21 

66 

153 

606 

3,479 

8.157 

750 

Rate  per   100.000  inhabitants 

2.948.4 

188.5 

2,759  9 

4.7 

14.7 

34.1 

135.0 

775.2 

1,817.6 

167.1 

Johnstown,  Pa.  M.S.A 

255,100 

(Includes  Cambna  and  Somerset 

Counties.) 

City  of  Johnstown 

31.965 

1,266 

185 

1,081 

1 

11 

41 

132 

374 

612 

95 

Total  area  actually   reporting     

97.1% 

4,080 

406 

3,674 

1 

31 

68 

306 

1.196 

2,202 

276 

Estimated  total                   

100.0% 

4,271 

422 

3,849 

1 

32 

71 

318 

1.232 

2,325 

292 

Rate  per   100.000  inhabitants 

1,674.2 

165.4 

1,508.8 

4 

12.5 

27-8 

124.7 

482.9 

911.4 

114.5 

Joliet,  II.  M.S.A." 

390,289 

(Includes  Grundy  and  Will  Counties.) 

City  of  Joliet*                  

76.232 

6,783 

13 

258 

549 

1,746 

4,533 

504 

Total  area  actually  reporting  ..     .. 

100.0% 

16,200 

22 

371 

1.009 

4,164 

10,869 

1.167 

Rate  per  100.000  inhabitants 

4,150.8 

5.6 

95-1 

258.5 

1,066,9 

2,784.9 

299.0 

Joplin,  Mo.  M.S.A 

133.871 

(Includes  Jasper  and  Newton 

Counties.) 

City  of  Joplin 

40.514 

3.112 

147 

2,965 

2 

24 

44 

77 

555 

2,294 

116 

Total  area  actually  reporting 

76.7% 

4,905 

262 

4.643 

8 

27 

48 

179 

967 

3.478 

198 

Estimated  total  

1000% 

5.669 

326 

5.343 

9 

30 

56 

231 

1,168 

3.925 

250 

Rate  per   100.000  inhabitants 

4.234  7 

243-5 

3.991  2 

6.7 

22.4 

41.8 

172.6 

872-5 

2.9319 

186.7 

See  footnotes  at  end  of  table 


330 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1987  —  Continued 

Metropolitan  Slalistical  Area 

Populalion 

Cnme 
Index 
rolal 

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 

Arson' 

Kalamazoo,  Mi.  M.S.A 

218,763 

(Includes  Kalamazoo  County.) 

Ciiy  of  Kalamazoo 

77.607 

9.226 

1.712 

7.514 

5 

132 

321 

1.254 

2,081 

5,105 

328 

Tolal  area  actually  reporting 

99.2% 

15,938 

2.006 

13,932 

9 

184 

372 

1,441 

3,364 

9,997 

571 

Estimated  total 

100,0% 

16.046 

2.015 

14.031 

9 

185 

375 

1,446 

3,384 

10.063 

584 

Rate  per   100.000  inhabitants 

7.334,9 

921,1 

6.413,8 

4,1 

84.6 

171,4 

661  0 

1.546,9 

4.600.0 

267,0 

Kankakee,  11.  M.S.A.* 

98.287 

(Includes  Kankakee  County.) 

City  of  Kankakee^ 

27.300 

3.048 

3 

164 

407 

915 

1.892 

241 

Total  area  actually  reporting 

100,0% 

5.174 

7 

175 

518 

1,549 

3,271 

354 

Rate  per   100,000  inhabitants 

5,264,2 

7,1 

178,0 

527,0 

1.576.0 

3,328,0 

360,2 

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

1,528,329 

(Includes  Cass.  Clay.  Jackson. 

Lafayette.  Platte  and  Ray  Counties. 

Mo.,  and  Johnson.   Leavenworth, 

Miami  and  Wyandotte  Counties.  Ks.) 

City  of: 

Kansas  City.  Ks. 

163.098 

16.672 

2.377 

14.295 

31 

160 

680 

1,506 

4,550 

7,994 

1.751 

Kansas  City.  Mo.     

444.382 

52.777 

8.423 

44,354 

131 

486 

3.279 

4,527 

13,767 

24,224 

6,363 

Tolal  area  actually  reporting 

95,7% 

106.019 

13.143 

92,876 

175 

807 

4.481 

7.680 

26,153 

56,401 

10,322 

Estimated  total  

100,0% 

108.185 

13.310 

94,875 

177 

817 

4,513 

7.803 

26,658 

57,747 

10,470 

Rate  per  100.000  inhabitants 

7,0786 

870,9 

6,207,8 

11,6 

53.5 

295,3 

510,6 

1.7443 

3.778,4 

685,1 

Kenosha,  Wi.  M.S.A 

120,554 

(Includes  Kenosha  County) 

City  of  Kenosha 

75.306 

5,091 

197 

4.894 

2 

37 

92 

66 

1.246 

3.356 

292 

Total  area  actually  reporting 

100  0% 

6,971 

288 

6.683 

3 

61 

113 

111 

1.594 

4.677 

412 

Rate  per  100.000  inhabitants 

5.782,5 

238,9 

5.543,6 

2.5 

506 

93,7 

92,1 

1.322.2 

3,879,6 

341.8 

Killeen-Temple,  Tx.  M.S.A 

236,104 

(Includes  Bell  and  Coryell  Counties.) 

City  of 

Killeen    

59,942 

5.277 

302 

4.975 

5 

57 

126 

114 

1.499 

3,260 

216 

Temple 

46.879 

3.766 

213 

3.553 

1 

57 

83 

72 

786 

2.595 

172 

Total  area  actually  reporting 

100,0% 

13.217 

765 

12.452 

8 

171 

245 

341 

3.648 

8.223 

581 

Rate  per  100,000  inhabitants 

5,598,0 

324,0 

5,273,9 

3.4 

72.4 

103,8 

144,4 

1.545,1 

3.482,8 

246,1 

Knoxville,  Tn.  M.S.A 

571,784 

(Includes  Anderson,  Blount.  Grainger. 

Jefferson.  Knox,  Sevier  and  Union 

Counties.) 

City  of  Knoxville 

175.089 

11.728 

1.376 

10,352 

20 

86 

439 

831 

4.008 

4.854 

1.490 

Total  area  actually  reportmg 

81,0% 

19.222 

1.865 

17.357 

35 

123 

537 

1.170 

6.780 

8.475 

2.102 

Estimated  total 

100.0% 

22,430 

2.137 

20.293 

40 

147 

591 

1.359 

7.829 
1.369,2 

10,103 
1,766,9 

2,361 
412.9 

Rate  per  100.000  inhabitants 

3,922,8 

373.7 

3.549,1 

7.0 

25.7 

103,4 

237,7 

Kokomo,  In.  M.S.A 

101,905 

(Includes  Howard  and  Tipton 

Counties.) 

City  of  Kokomo 

45.837 

1.998 

67 

1.931 

3 

14 

41 

Q 

442 

1.367 

122 

Tolal  area  actually  reporting 

88,7% 

2.564 

77 

2.487 

3 

15 

44 

15 

554 

1.771 

162 

Estimated  tolal 

100,0% 

2,926 

100 

2.826 

3 

17 

49 

31 

641 

1.989 

196 

Rate  per  100.000  inhabitants 

2.871,3 

98,1 

2.773,2 

2.9 

16.7 

48,1 

30,4 

629.0 

1.951,8 

192.3 

La  Crosse,  Wi.  M.S.A 

94,535 

(Includes  La  Crosse  County.) 

City  of  La  Crosse 

47,870 

2.884 

48 

2,836 

3 

10 

6 

29 

252 

2.478 

106 

Total  area  actually  reporting 

100.0% 

3,997 

129 

3,868 

4 

16 

6 

103 

468 

3.259 

141 

Rate  per  100.000  inhabitants 

4.228,1 

136,5 

4.091,6 

4.2 

16,9 

6,3 

109,0 

495.1 

3.447.4 

149.2 

Lafayette,  La.  M.S.A 

216,048 

(Includes  Lafayette  and  St.  Martm 

Panshes.) 

City  of  Lafayette 

89.026 

8.641 

951 

7.690 

9 

64 

211 

667 

1.727 

5.670 

293 

Total  area  actually  reportmg 

96.5% 

11.536 

1.263 

10.273 

15 

99 

238 

911 

2,693 

7.153 

427 

Estimated  total 

100,0% 

11,992 

1.300 

10.692 

15 

101 

246 

938 

2,785 

7,461 

446 

Rate  per  100.000  inhabitants 

5,550,6 

601  7 

4.948,9 

6.9 

46  7 

113.9 

434,2 

1,289.1 

3.453,4 

206.4 

Lafayette- West  Lafayette,  In.  M.S.A.. 

125,019 

(Includes  Tippecanoe  County  ) 

City  of: 

Lafayette 

44,460 

2,424 

57 

2,367 

1 

4 

23 

29 

541 

1.724 

102 

West  Lafayette 

21.215 

855 

26 

829 

4 

3 

19 

137 

655 

37 

Total  area  actually  reporting 

100,0% 

4,329 

259 

4,070 

1 

17 

30 

211 

938 

2.933 

199 

Rate  per  100,000  inhabitants 

3.462,7 

207,2 

3,255,5 

.8 

13,6 

240 

168,8 

750.3 

2,346,0 

159.2 

Lake  Charles,  La.  M.S.A 

171,550 

(Includes  Calcasieu  Parish) 

City  of  Lake  Charles 

72.743 

5.379 

215 

5,164 

7 

18 

55 

135 

1,404 

3,589 

171 

Total  area  actually  reporting 

100,0% 

11.757 

908 

10,849 

14 

73 

136 

685 

2.990 

7,524 

335 

Rate  per   100.000  inhabitants 

6,853,4 

5293 

6.324,1 

8.2 

42,6 

79,3 

399,3 

1.742.9 

4.385.9 

195.3 

Lake  County.  IL  M.S.A.* 

484,533 

(Includes  Lake  County.) 

Total  area  actually  reporting 

99,8% 

18.837 

10 

340 

962 

3.333 

14,497 

1.007 

Estimated  total  

100,0% 

18,887 

10 

341 

964 

3,344 

14,532 

1.011 

Rate  per   100.000  inhabitants 

3,898,0 

2.1 

70,4 

1990 

6901 

2,999.2 

208.7 

See  footnotes  at  end  of  table. 


331 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1987  —  Continued 

Modified 

Murder 

Melropolilan  Statislical  Area 

Populalion 

Cnme 
Index 
lolal 

Cnme 
Index 
total' 

Violenl 
cnme- 

Propeny 
cnme' 

and  non- 
negligent 
man- 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larccny- 
thefl 

Motor 
vehicle 
theft 

Arson' 

slaughter 

Lakeland-Winter  Haven,  Fl.  M.S.A.  .. 

388,447 

(Includes  Polk  County.) 

Cily  of: 

Lakeland  

63,735 

7,039 

701 

6,338 

10 

42 

248 

401 

2,185 

3,840 

313 

Winter  Haven 

24.499 

2,954 

270 

2,684 

2 

24 

101 

143 

723 

1,842 

119 

Total  area  actually  reporting 

100.0% 

34,510 

3,334 

31,176 

45 

143 

967 

2,179 

9,933 

19.546 

1,697 

Rate  per  lOO.CXX)  inhabitants 

8.884.1 

858.3 

8.025.8 

11.6 

36.8 

248.9 

561.0 

2,557.1 

5,031.8 

436.9 

Lancaster,  Pa.  M.S.A 

395,049 

(Includes  Lancaster  County.) 

City  of  Lancaster 

57,425 

3,386 

258 

3,128 

7 

27 

135 

89 

717 

2.228 

183 

Total  area  actually  reporting 

98.3% 

10,133 

660 

9,473 

12 

57 

184 

407 

2,054 

6.896 

523 

Estimated  total 

100.0% 

10,308 

675 

9,633 

12 

58 

187 

418 

2,087 

7.008 

538 

Rale  per  100,000  inhabitants 

2.609.3 

170.9 

2,438.4 

3.0 

14.7 

47.3 

105.8 

528.3 

1,774.0 

136.2 

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

426,773 

(Includes  Clinton,  Eaton  and  Ingham 

Counties.) 

City  of: 

Lansing 

129,610 

10,996 

1,684 

9,312 

8 

164 

336 

1.176 

2,612 

6,043 

657 

East  Lansing 

48,355 

1.851 

74 

1,777 

17 

10 

47 

246 

1,369 

162 

Total  area  actually  reporting 

92.3% 

22.874 

2,278 

20,596 

9 

305 

448 

1.516 

4,965 

14,338 

1.293 

Estimated  total 

100.0% 

24,872 

2,445 

22,427 

11 

318 

499 

1,617 

5,332 

15,566 

1.529 

Rate  per  100,000  inhabitants 

5,827.9 

572.9 

5,255.0 

2.6 

74.5 

116.9 

378.9 

1,249.4 

3.647.4 

358.3 

Laredo,  Tx.  M.S.A 

121,575 

(Includes  Webb  County.) 

City  of  Laredo 

117,811 

8,767 

555 

8,212 

11 

8 

121 

415 

1.903 

5.718 

591 

Total  area  actually  reporting 

100.0% 

9.055 

589 

8,466 

12 

13 

122 

442 

1.979 

5.871 

616 

Rate  per  100,000  inhabitants 

7,448.1 

484,5 

6.963.6 

99 

10-7 

1003 

3636 

1,627.8 

4.829.1 

506.7 

Las  Cruces,  N.M.  M.S.A 

124,679 

(Includes  Dona  Ana  County.) 

City  of  Las  Cruces 

54,828 

5,621 

290 

5,331 

1 

31 

65 

193 

1.415 

3,661 

255 

Total  area  actually  reporting 

97.7% 

7.803 

440 

7,363 

5 

52 

92 

291 

2.378 

4,636 

349 

Estimated  total 

100.0% 

8,081 

453 

7,628 

5 

53 

95 

300 

2.438 

4,829 

361 

Rale  per  100,000  inhabitants 

6,481.4 

363.3 

6.118.1 

4,0 

42.5 

76.2 

240.6 

1,955.4 

3.873.1 

289.5 

Las  Vegas,  Nv.  M.S.A 

594,718 

(Includes  Clark  County.) 

City  of  Las  Vegas 

481,393 

37.020 

3,884 

33,136 

47 

308 

1,837 

1,692 

9.395 

20,069 

3.672 

Total  area  actually  reponing 

100.0% 

43,243 

4,868 

38,375 

59 

404 

2,150 

2,255 

11,325 

22,921 

4.129 

Rate  per  100,000  inhabitants 

7,271.2 

818.5 

6,452-6 

9.9 

679 

361  5 

379.2 

1,904.3 

3,854.1 

694.3 

Lawrence.  Ks.  M.S.A 

73,060 

(Includes  Douglas  County.) 

City  of  Lawrence 

56,848 

3.978 

254 

3,724 

2 

14 

34 

204 

742 

2,813 

169 

Total  area  actually  reporting 

96.1% 

4,943 

294 

4,649 

2 

15 

36 

241 

968 

3,474 

207 

Estimated  total 

100.0% 

5,082 

302 

4,780 

2 

16 

37 

247 

993 

3,573 

214 

Rate  per  100,000  inhabitants 

6,955.9 

413.4 

6.542.6 

2.7 

21.9 

50.6 

338.1 

1,359.2 

4,890.5 

292.9 

Lawton,  Ok.  M.S.A 

119,473 

(Includes  Comanche  County.) 

City  of  Lawton 

81,988 

6,512 

598 

5,914 

6 

57 

150 

385 

1,986 

3.612 

316 

Total  area  actually  reponing 

100.0% 

6,871 

634 

6,237 

8 

66 

152 

408 

2,153 

3.759 

325 

Rate  per  100,000  inhabitants 

5,751.1 

530.7 

5.220.4 

6.7 

55.2 

127.2 

341.5 

1.802.1 

3,146  3 

272.0 

Lewiston-Auburn.  Me.  M.S.A 

102,254 

(Includes  part  of  Androscoggin 

County.) 

City  of: 

Lewiston 

39,425 

2,795 

169 

2,626 

12 

37 

120 

660 

1.852 

114 

Auburn 

23,131 

755 

14 

741 

1 

6 

7 

146 

545 

50 

Total  area  actually  reporting 

100.0% 

4,451 

224 

4,227 

1 

16 

46 

161 

1.016 

2,999 

212 

Rate  per  100,000  inhabitants 

4.352.9 

219.1 

4.133.8 

1.0 

15.6 

45.0 

157.5 

993.6 

2.932.9 

207.3 

Lexington-Fayette,  Ky.  M.S.A 

332,054 

(Includes  Bourbon,  Clark,  Fayette. 

Jessamine.  Scott  and  Woodford 

Counties.) 

City  of  Lexington                  

212,934 

14,056 

1.037 

13.019 

12 

104 

373 

548 

2,860 

9.372 

787 

Total  area  actually  reporting 

100.0% 

18,502 

1,404 

17,098 

17 

135 

396 

856 

3,767 

12.396 

935 

Rate  per  100,000  inhabitants    

5,572.0 

422.8 

5.149.2 

5.1 

40.7 

119.3 

257.8 

1,134.5 

3,733.1 

281.6 

Lincoln,  Nb.  M.S.A 

205,610 

(Includes  Lancaster  County.) 

City  of  Lincoln 

182.615 

12,362 

701 

11,661 

10 

57 

87 

547 

2,305 

8.955 

401 

Total  area  actually  reporting 

100.0% 

13,934 

747 

13,187 

11 

67 

89 

580 

2.595 

10.157 

435 

Rate  per  100.000  inhabitants 

6.776.9 

3633 

6.4136 

5.3 

32.6 

43.3 

282.1 

1,262.1 

4,939.9 

211.6 

Little  Rock-North  Little  Rock,  Ar. 

M.S.A 

509,116 

(Includes  Faulkner,  Lonoke,  Pulaski 

and  Saline  Counties.) 

City   of: 

Little  Rock 

182,290 

22,227 

2.911 

19.316 

28 

211 

776 

1,896 

5,398 

12,987 

931 

North  Little  Rock 

63.982 

6,071 

734 

5.337 

9 

51 

159 

515 

1,177 

3,923 

237 

Total  area  actually  reporting  

100.0% 

37,726 

4.354 

33,372 

47 

333 

1,036 

2,938 

9,067 

22,633 

1,672 

Rale  per  100,000  inhabitants 

7,410.1 

855.2 

6,554.9 

9.2 

654 

203.5 

577.1 

1.780.9 

4,445.5 

328.4 

See  footnotes  at  end  of  table. 


332 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1987  —  Continued 


Metropolitan  Statistical  Area 


Population 


Cnme 
Index 
total 


Modified 
Cnme 
lnde« 
tola)' 


Property 
crime' 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Longview-Marshall,  Tx.  M.S.A 

(Includes  Gregg  and  Harrison 
Counties.) 
City  of: 

Longview 

Marshall 

Total  area  actually  reporting 

Rale  per  100,000  inhabitants 

Loraln-Elyria,  Oh.  M.S.A 

(Includes  Lorain  County.) 
City  of: 

Lorain 

Elytia 

Total  area  actually  repotting 

Estimated  total 

Rale  per  100.000  inhabilams 
Los  Angeles-Long  Beach,  Ca.  M.S.A 
(Includes  Los  Angeles  County.) 
City  of: 

Los  Angeles 

Long  Beach 

Total  area  actually  reporting 

Rale  per  100.000  inhabitants 

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

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

City  of  Louisville 

Total  area  actually  reporting 

Estimated  total     

Rale  per  100,000  inhabitants 

Lubbock,  Tx.  M.S.A 

(Includes  Lubbock  County.) 

City  of  Lubbock 

Total  area  actually  reporting 

Rate  per  100,000  inhabitants 

Lynchburg,  Va.  M.S.A 

(Includes  Lynchburg  City  and 
Amherst  and  Campbell  Counties.) 

City  of  Lynchburg  

Total  area  actually  reporting 
Rate  per  100,000  inhabitants 
Macon-Warner  Robins,  Ga.  M.S.A. ... 
(Includes  Bibb,  Houston,  Jones  and 
Peach  Counties.) 
City  of: 

Macon 

Warner  Robins 

Total  area  actually  reporting 

Estimated  total 

Rate  per  100.000  inhabitants 

Madison,  Wi.  M.S.A 

(Includes  Dane  County.) 

City  of  Madison 

Total  area  actually  reporting 

Estimated  total  

Rate  per  100,000  inhabitants 

Manchester,  N.H.  M.S.A 

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

City  of  Manchester 

Total  area  actually  reporting 
Rale  per  100,000  inhabitants 

MansHeld,  Oh.  M.S.A 

(Includes  Richland  County.) 

City  of  Mansfield 

Total  area  actually  reporting 

Estimated  total 

Rate  per  100,000  inhabitants 
McAIIen-Eklinburg-Mission,  Tx. 

M.S.A 

(Includes  Hidalgo  County.) 
City  of; 

McAllen 

Edinburg 

Mission 

Total  area  actually  reporting 

Rate  per  100,000  inhabitants 


177,028 


74,344 
24.365 
100.0% 

266,599 


73,006 
57,362 
99.5% 
100.0% 

8,505,597 


3,341,726 
406,297 
100.0% 

963,727 


286,516 
93.3% 
100.0% 

225,396 

187,596 
100.0% 

147,123 


69,378 
100.0% 


287,642 


143,434 


368,247 


83,834 
31,762 
31,430 
100.0% 


5,422 

1,239 

9,724 

5,492.9 


2,191 
2,494 
7,472 
7,532 
2,825.2 


288,509 

31,364 

577,027 

6,784.1 


19,438 
47,429 
50,167 
5,205.5 


18,594 
21.258 
9,431.4 


3,460 

4,858 

3,302.0 


120,703 

9,906 

46,500 

3,458 

96.8% 

16,714 

100.0% 

17,398 

6.048.5 

339,822 

176,642 

11,960 

98.7% 

17,214 

100.0% 

17,401 

5,120  6 

100,131 

5,935 

100.0% 

7,372 

5.139.6 

129,493 

52,041 

4.023 

98.6% 

6,350 

100.0% 

6,424 

4,960.9 

8,682 

1,740 

1,491 

22.949 

6,232,0 


247 

141 

642 

362.7 


167 
136 
746 
749 
280,9 


63,833 

4.660 

114.992 

1,352.0 


2,695 
4,898 
5,052 
524.2 


1,107 
1.231 
546,1 


352 

512 

348.0 


625 

290 

1,115 

1,168 

406.1 


377 

597 

604 

177.7 


193 

241 

168.0 


564 

797 

801 

618.6 


405 

80 

86 

1.390 

377,5 


5,175 

1,098 

9,082 

5,130.3 


6 

6 

22 

12.4 


2,024 

2,358 

6,726 

6,783 

2,544.3 

2 
2 

,8 

224,676 
26,704 

462,035 
5,432.1 

811 

62 

1,412 

16.6 

16,743 
42,531 
45,115 
4,681.3 

43 
65 
67 
7.0 

17,487 
20,027 
8,885,3 

24 

29 

12.9 

3,108 

4,346 

2,954.0 

4 
13 
8.8 

9,281 
3,168 
15.599 
16,230 
5,642.4 

14 
3 

24 

25 
8,7 

11,583 
16,617 
16,797 
4,942.9 

6 

6 

6 

1.8 

5,742 

7,131 

4,971.6 

4 

5 

3.5 

3,459 

5,553 

5,623 

4,342.3 

8,277 

1,660 

1,405 

21,559 

5.8545 

3 

1 

1 

25 

6.8 

46 


76 

42.9 


33 
26 
95 
95 
35.6 


2,169 
221 

4,276 
50.3 


92 
284 
298 
30.9 


130 
159 
70,5 


25 

35 

23.8 


63 

19 

106 

110 

38.2 


48 

59 

59 

17.4 


22 

26 

18.1 


36 

40 

40 

30.9 


25 
2 
3 

79 
21,5 


90 

21 

146 

82,5 


55 

43 
132 
133 
49.9 


26,192 
2,467 

44,318 
521.0 


1,541 
2.220 
2,253 
233.8 


359 

372 

165.0 


61 

68 

46.2 


203 
96 
359 
379 
131.8 


185 
223 
225 
662 


104 
107 
74.6 


128 
146 

147 
113,5 


84 

24 

14 

205 

55,7 


105 

106 

398 

224.8 


79 

67 

517 

519 

194.7 


34.661 
1,910 

64.986 
764.0 


1,019 
2,329 
2,434 
252.6 


594 
671 

297.7 


262 

396 

269.2 


345 
172 
626 
654 
227.4 


138 
309 
314 
92.4 


63 
103 
71.8 


400 

611 

614 

474.2 


293 

53 

68 

1,081 

293.6 


1,416 

272 

2,700 

1,525.2 


766 

676 

2,035 

2,046 

767.4 


52,927 

7,147 

121,839 

1,432.5 


5,526 
12,006 
12,519 
1,299.0 


5,891 

6,803 

3,018.2 


488 

712 

483.9 


2.195 

965 

4.366 

4,527 

1,573.8 


2,370 
3,161 
3,193 
939.6 


1,298 

1,593 

1,110.6 


1.070 

1.512 

1,525 

1,177.7 


1.757 

535 

377 

6.721 

1,825.1 


3,464 

771 

5,858 

3,309.1 


1.101 
1,440 
4,187 
4,228 
1,585.9 


114,643 

14,366 

234,228 

2,753.8 


9.928 
27.288 
29.149 
3,024.6 


10,783 
12,314 
5,463.3 


2,494 

3,446 

2,342.3 


6,453 
2,009 
10,215 
10,626 
3,694.2 


8,574 
12,604 
12,745 
3,750.5 


4,063 

5,074 

3.537.5 


2,199 

3,740 

3,791 

2,927.6 


5,770 

1,020 

941 

13,284 

3.607,4 


295 

55 

524 

296,0 


157 
242 
504 
509 
190.9 


57,106 

5,191 

105,968 

1,245.9 


1,289 
3.237 
3.447 
357.7 


813 

910 

403.7 


126 

188 
127.8 


633 

194 

1,018 

1,077 

374.4 


639 

852 

859 

252.8 


381 

464 

323.5 


190 

301 

307 

237.1 


750 

105 

87 

1,554 

422.0 


See  footnotes  at  end  of  table. 


333 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas.  1987  —  Continued 

Melropoliian  Slalistical  Area 

Population 

Cnmc 
Index 
total 

Modified 
Cnme 
Index 
tola!' 

Violent 
cnme" 

Property 
cnmc' 

Murder 
and  non- 
negligenl 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
Ihefl 

Motor 
vehicle 
theft 

Arson' 

Medford,  Or.  M.S.A 

141,354 

(Includes  Jackson  County.) 

City  of  Medford 

44.002 

3.885 

150 

3.735 

1 

24 

56 

69 

795 

2.770 

170 

Total  area  actually  reporting 

100  0% 

7,239 

369 

6.870 

3 

47 

77 

242 

1.675 

4.797 

397 

Rale  per   100.000  inhabitants 

5.121  2 

2510 

4.860.1 

2  1 

33.2 

54.5 

171.2 

1,185.7 

3.393.6 

2809 

Melbourne-Titusville-Palm  Bay,  Fl. 

M.S.A 

371,970 

(Includes  Brevard  County.) 

City  of; 

Melbourne 

58,432 

6.076 

671 

5.405 

3 

22 

137 

509 

1.247 

3,965 

193 

Titusville 

43,201 

2.539 

225 

2.314 

1 

15 

65 

144 

760 

1.403 

151 

Palm  Bay 

47.021 

2.747 

172 

2.575 

6 

17 

28 

121 

761 

1.723 

91 

Total  area  actually  reporting 

100.0% 

24.445 

2.497 

21.948 

16 

114 

590 

1.777 

5.874 

14.991 

1.083 

Rate  per   100.000  inhabitants 

6,571.8 

571.3 

5.900.5 

43 

30.6 

1585 

477.7 

1.579,2 

4.030.2 

291.2 

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

969,020 

(Includes  Shelby  and  Tipton  Counties. 

Tn  .  Cnttenden  County.  Ar..  and  De 

Soto  County,  Ms.) 

City  of  Memphis 

659.720 

63.824 

8,833 

54.991 

143 

831 

4.595 

3.153 

18.451 

22.971 

13.569 

Total  area  actually  reporting 

930% 

74.760 

9,835 

64.925 

164 

952 

4.963 

3.756 

21.627 

28.583 

14,715 

Estimated  total 

1000% 

77.202 

10,003 

67.199 

169 

987 

4.998 

3.849 

22,807 

29.497 

14,895 

Rate  per  100.000  inhabitants 

7,967.0 

1.032  3 

5.934  7 

174 

1019 

515.8 

397.2 

2.353.6 

3,044.0 

1.537.1 

Merced.  Ca.  M.S.A 

167,633 

City  of  Merced 

48.209 

3.686 

230 

3.455 

2 

14 

85 

129 

838 

2.386 

232 

Total  area  actually  reponing 

100  0% 

8.129 

794 

7.335 

8 

49 

148 

589 

2.186 

4.667 

482 

Rate  per  100.000  inhabitants 

4.849.3 

4737 

4,375.6 

4.8 

29.2 

88.3 

351.4 

1.304.0 

2.784.1 

287.5 

Miami-Hialeah,  Fl.  M.S.A 

1,822,255 

(Includes  Dade  County.) 

City  of; 

Miami       

385.089 

58.791 

11,309 

47.482 

128 

202 

5.594 

5.385 

11.875 

27.548 

8.059 

Hialeah     

156.583 

15.478 

1,619 

13.859 

12 

30 

771 

806 

3,174 

7.842 

2.843 

Total  area  actually  reporting-. 

100.0% 

225.719 

33,060 

192.559 

357 

914 

14.537 

17.242 

52,607 

109.088 

30.964 

Rale  per  100.000  inhabitants 

12.386,8 

1,8142 

10,572.6 

20.1 

502 

797.7 

946.2 

2.886.9 

5.986.4 

1.699.2 

Middlesex-Somerset-Hunterdon,  N.J. 

M.S.A 

956,650 

(Includes  Hunterdon,  Middlesex  and 

Somerset  Counties.) 

Total  area  actually  reporting 

99.9% 

34.159 

2.297 

31,862 

24 

156 

611 

1.506 

6.829 

20.765 

4.268 

Estimated  total                          

100.0% 

34,201 

2.300 

31.901 

24 

156 

612 

1,508 

6.837 

20,790 

4.274 

Rate  per  100.000  inhabitants 

3.575  1 

240.4 

3.334.7 

2,5 

16,3 

54.0 

157,6 

714.7 

2.173.2 

446.8 

Middletown,  Ct.  M.S.A 

59,997 

(Includes  part  of  Middlesex  County) 

City  of  Middletown      

39.122 

2.248 

141 

2.107 

1 

19 

39 

82 

430 

1,496 

181 

Total  area  actually  reporting 

100  0% 

2.741 

170 

2.571 

1 

22 

40 

107 

529 

1.818 

224 

Rate  per   100,0(X)  mhabitants 

4.568.6 

283  3 

4.285.2 

1.7 

35.7 

65.7 

178.3 

881.7 

3,030.2 

373.4 

Midland,  Tx.  M.S.A 

112,014 

(Includes  Midland  County) 

City  of  Midland 

98.689 

4,807 

448 

4,359 

10 

36 

97 

305 

1.726 

2.346 

287 

Total  area  actually  reporting 

100.0% 

5,709 

566 

5,143 

11 

58 

108 

389 

2,068 

2.754 

321 

Rate  per   100,000  inhabitants 

5.0967 

505  3 

4,591  4 

9,8 

51  8 

96.4 

3473 

1.846.2 

2.458.6 

286.6 

Milwaukee,  Wi.  M.S.A 

1,386,071 

(Includes  Milwaukee.  Ozaukee. 

Washmgton  and  Waukesha  Counties.) 

City  of  Milwaukee 

607.885 

50.398 

6.008 

44,390 

92 

437 

1.984 

3.495 

9.964 

28.680 

5.746 

Total  area  actually  reporting 

99.7% 

75.911 

6.997 

68,914 

105 

480 

2.223 

4,189 

14.572 

47.426 

6.916 

Estimated  total               

100.0% 

75.075 

7.003 

69,072 

105 

480 

2.224 

4,194 

14.600 

47.550 

6.922 

Rale  per   100.000  inhabitants 

5.488.5 

505  2 

4.983  3 

7.6 

34.5 

1605 

302.6 

1.053.3 

3.430.6 

4994 

Minneapolis-St.  Paul,  Mn.-Wi. 

M.S.A 

2,310,671 

(Includes  Anoka.  Carver,  Chisago. 

Dakota.  Hennepin.  Isanti,  Ramsey. 

Scott,  Washington  and  Wnght 

Counties,  Mn..  and  St.  Croix  County. 
Wi.) 

City  of; 

Minneapolis 

359.371 

45.356 

5.538 

39.818 

38 

520 

2.865 

2,114 

11.987 

23.254 

4.577 

Saint  Paul 

265.550 

21.360 

2.289 

19.071 

12 

218 

745 

1,313 

6.183 

11.578 

1.310 

Total  area  actually  reporting 

100.0% 

138.721 

10.078 

128.543 

78 

1.058 

4.145 

4.797 

32.825 

85,787 

10.031 

Rate  per  100.000  inhabitants 

6.003.5 

435.2 

5,557.3 

3,4 

45.8 

179.4 

207.6 

1.420.5 

3.712.6 

434.1 

Mobile,  Al.  M.S.A 

473,560 

(Includes  Baldwin  and  Mobile 

Counties) 

City  of  Mobile 

204.800 

21.623 

2.972 

18.651 

32 

127 

775 

2.038 

9.429 

8.280 

942 

Total  area  actually  reporting 

99.9% 

32.598 

4.588 

28.010 

55 

206 

1.013 

3.314 

12.879 

13.723 

1.408 

Estimated  total 

100.0% 

32.534 

4.593 

28.041 

55 

205 

1.014 

3.318 

12,887 

13.744 

1.410 

Rate  per  100,000  inhabitants 

6.891.2 

969.9 

5.921,3 

11.6 

43.5 

214.1 

7007 

2.721.3 

2.902.3 

297.7 

See  footnotes  at  end  of  table 


334 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1987  —  Continued 

Metropolitan  Sladslical  Area 

Population 

Cnme 
Index 
total 

Modified 
Cnme 
Index 
total' 

Violent 
cnme' 

Property 
cnme' 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robber> 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
theft 

Motor 
vehicle 
theft 

Arson' 

Modesto,  Ca.  M.S.A 

324,603 

(Includes  Stanislaus  County.) 

City  of  Modesto           

136.300 

10.471 

713 

9.758 

7 

62 

246 

398 

2,338 

6,640 

780 

Total  area  actually  reporting    

100.0% 

22.592 

2.110 

20.482 

21 

157 

449 

1.483 

5,975 

13.054 

1.453 

Rate  per   100,000  inhabitants 

6.959.9 

650,0 

6.309.9 

6.5 

48.4 

1383 

456.9 

1.840  7 

4.021.5 

447.5 

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

941,679 

(Includes  Monmouth  and  Ocean 

Counties.) 

Total  area  actually  reporting 

100,0% 

37,436 

2.476 

34.960 

23 

214 

556 

1.683 

7.488 

24.947 

2.525 

Rate  per   100.000  inhabitants 

3,975.5 

262.9 

3.712.5 

2.4 

22.7 

59.0 

178.7 

795.2 

2.549.2 

268.1 

Monroe,  La.  M.S.A 

144,594 

(Includes  Ouachita  Parish.) 

Citv  of  Monroe 

55,707 

5,139 

809 

4.330 

7 

43 

60 

699 

1.216 

2.929 

18S 

^^t\J      SJl       i'*»./lll  \JV 

Total  area  actually  reporting 

100.0% 

8,214 

1.043 

7.171 

9 

70 

82 

882 

1,981 

4.888 

302 

Rate  per   100.000  inhabitants 

5,680.7 

721.3 

4,959.4 

6.2 

48.4 

56.7 

610.0 

1.370.0 

3.380.5 

208.9 

Montgomery,  Al.  M.S.A 

304,014 

(Includes  Autauga.   Elmore  and 

Montgomery  Counties.) 

City  of  Montgomery  

195,762 

10.106 

329 

9.777 

22 

16 

179 

112 

1.939 

7,268 

570 

Total  area  actually  reporting 

100-0% 

13.599 

821 

12.778 

31 

35 

234 

521 

3,032 

9,034 

712 

Rale  per   100.000  mhabitants 

4.473  1 

270  1 

4.203.1 

10.2 

11.5 

77.0 

1714 

997.3 

2.9716 

234.2 

Muncie,  In.  M.S.A 

121,502 

(Includes  Delaware  County.) 

City  of  Muncie 

72,961 

3.656 

183 

3.473 

8 

23 

87 

65 

937 

2.255 

271 

Total  area  actually  reporting 

100.0% 

4.310 

291 

4.019 

10 

37 

97 

147 

1,108 

2,612 

299 

Rate  per  100,000  inhabitants -.-. 

3,547.3 

239.5 

3.307.8 

8.2 

30.5 

79.8 

121.0 

911.9 

2.149.8 

245.1 

Muskegon,  Mi.  M.S.A 

159,274 

(Includes  Muskegon  County.) 

City  of  Muskegon         

40.004 

5,280 

1.139 

4,141 

5 

41 

95 

998 

1,055 

2,971 

115 

Total  area  actually  reporting 

100.0% 

11,084 

1.640 

9,444 

9 

82 

196 

1,353 

2.123 

7.027 

294 

Rate  per  100.000  inhabitants.    . 

6.959.1 

1.029.7 

5,929.4 

5.7 

51.5 

123.1 

849.5 

1.3329 

4.411.9 

184.6 

Naples    Fl    M  S.A.                        

125,020 

(Includes  Collier  County.) 

City  of  Naples  

20.071 

1.600 

99 

1,501 

4 

5 

29 

61 

319 

1.125 

57 

Total  area  actually  reporting 

100.0% 

8.388 

721 

7,667 

19 

59 

179 

464 

2,551 

4.697 

419 

Rate  per    100.000  inhabitants 

6.709.3 

576.7 

6,132.5 

15.2 

47.2 

143.2 

371.1 

2,040.5 

3.757.0 

335.1 

Nashua,  N.H.  M.S.A 

167,416 

(Include  pari   of  Hillsborough  and 

Rockingham  Counties.) 

City  of  Nashua              

78,753 

3.171 

116 

3.055 

5 

48 

35 

28 

603 

2.212 

240 

Total  area  actually  reporting 

98.3% 

4.954 

201 

4.753 

8 

63 

39 

91 

942 

3.456 

355 

Estimated  total      

100.0% 

5.055 
3.0194 

207 
123.6 

4.848 
2.895.8 

8 
4.8 

64 

38.2 

40 
23.9 

95 

56.7 

961 

574.0 

3,524 
2.104.9 

363 
2168 

Rate  per   100,000  inhabitants 

Nashville,  Tn.  M.S.A 

934,134 

(Includes  Cheatham.  Davidson, 

Dickson,  Robertson.  Rutherford, 

Sumner.   Williamson  and  Wilson 

Counties.) 

City  of  Nashville 

487,097 

43.001 

5.253 

37.748 

99 

509 

2.350 

2.295 

11.358 

22.602 

3,788 

Total  area  actually  reporting 

90.1% 

54.892 

6.552 

48.340 

111 

580 

2,559 

3,302 

14,580 

29.255 

4.505 

Hstimated  total 

100.0% 

57,792 
6,186.7 

6.803 
728.3 

50.989 
5.458.4 

115 
12.3 

601 
64.3 

2,609 
279.3 

3,478 
372.3 

15.486 
1,657.8 

30,772 
3.294.2 

4,731 
506.5 

Rate  per    100,000  inhabitants 

Nassau-Suffolk.  N.Y.  M.S.A 

2,642,843 

(Includes  Nassau  and  Suffolk 

Counties.) 

Total  area  actually  reporting 

100.0% 

97.731 

6.664 

91.067 

77 

367 

3.030 

3,190 

21,116 

58.558 

11,393 

Rate  per  100,000  inhabitants 

3.697,9 

252,2 

3.445.8 

2.9 

13.9 

114.6 

120.7 

799.0 

2,215.7 

431.1 

Estimated  total  

100.0% 

97.766 

6.667 

91.099 

77 

367 

3.031 

3.192 

21.123 

58,581 

11,395 

Rate  per   100,000  inhabiianis 

3.6993 

252.3 

3.447.0 

2.9 

139 

114.7 

120.8 

799.3 

2,215.6 

431.2 

Newark,  N.J.  M.S.A 

1,901,642 

(Includes  Essex,  Morris,  Sussex  and 

Union  Counties.) 

City  of  Newark 

318.402 

40.185 

8.926 

31.259 

81 

577 

4,230 

4.038 

5.968 

11,400 

13.891 

Total  area  actually  reporting 

100.0% 

116.541 

16.689 

99,852 

135 

1,071 

7.887 

7.596 

20.029 

50,944 

28.879 

Rate  per  100.000  inhabitants 

6.128.4 

877.6 

5.250.8 

7.1 

56.3 

414.7 

399.4 

1.053.2 

2,678.9 

1,518.5 

New  Bedford,  Ma.  M.S.A 

173,155 

(Includes  pan  of  Bristol  and 

Plymouth  Counties.) 

City  of  New  Bedford 

96.832 

7,049 

822 

6.227 

5 

39 

241 

537 

2,326 

2,491 

1,410 

Total  area  actually  reporting 

88.6% 

9.722 

983 

8.739 

5 

43 

276 

659 

2.943 

3.735 

2,060 

Estimated  total 

100.0% 

10,352 

1.032 

9,320 

5 

46 

287 

694 

3,085 

4.069 

2,166 

Rate  per   100,000  inhabitants 

5.978.5 

596.0 

5.382.5 

2.9 

26.6 

165.7 

400.8 

1,781.6 

2.349.9 

1.250.9 

New  BriUin,  Ct.  M.S.A 

145,592 

(Includes  part  of  Hartford  County.) 

City  of  New  Bnlain 

72,544 

5.543 

536 

5.007 

7 

35 

263 

231 

1.463 

3.142 

402 

Total  area  actually  reporting 

100.0% 

7.849 

623 

7,226 

7 

41 

297 

278 

2.052 

4.510 

554 

Rate  per  100,000  inhabitants  

5,391.1 

427.9 

4,963.2 

4.8 

28.2 

204.0 

190.9 

1,409.4 

3.166.4 

387.4 

See  footnotes  at  end  of  table. 


335 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1987  —  Continued 


Melropolilan  Slatislical  Area 


Population 


Cnme 
Index 

total 


Modified 
Cnme 
Index 
total' 


Property 

cnme' 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


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

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

New  Haven 

Meriden 

Total  area  actually  reporting 

Rale  per  100.000  inhabitants  

New  London-Nonfich,  Ct.-R.I. 

M.S.A 

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

New  London 

Norwich 

Total  area  actually  reporting 

Rate  per  100.000  inhabitants 

New  Orleans,  La.  M.S.A 

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

City  of  New  Orleans 

Total  area  actually  rcpoiling 

Estimated  total 

Rate  per  100,000  inhabitants 

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

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

City  of  New  York 

Total  area  actually  reporting 

Estimated  total 

Rate  per  100,000  inhabitants 

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

(Includes  Niagara  County.) 

City  of  Niagara  Falls 

Total  area  actually  reporting 

Rate  per  100.000  inhabitants 

Norfolk-Virginia  Beach-Newport 

News,  Va.  M.S.A 

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

City  of: 

Norfolk 

Virginia  Beach 

Newport  News 

Total  area  actually  reporting 

Rate  per  100.000  inhabitants 

Norwalk,  Ct.  M.S.A 

(Includes  part  of  Fairfield  County.) 

City  of  Norwalk 

Total  area  actually  reporting 

Rate  per  100,000  inhabitants 

Oakland,  Ca.  M.S.A 

(Includes  Alameda  and  Contra  Costa 
Counties.) 

City  of  Oakland 

Total  area  actually  reporting 

Rate  per  100,000  inhabitants 

Ocala,  Fl.  M.S.A 

(Includes  Marion  County.) 

City  of  Ocala 

Total  area  actually  reporting 

Rate  per  100,000  inhabitants 

Odessa,  Tx.  M.S.A 

(Includes  Ector  County.) 

City  of  Odessa  

Total  area  actually  reporting 

Rate  per  100,000  inhabitants 


549,658 


124,313 
58,728 
100.0% 


274,482 


28.800 
38.276 
100.0% 

1,322,553 


549,536 
82.6% 
100.0% 

8,498,622 


1,335,942 


16,057 

2.428 

31.864 

5,797.1 


2,393 

1.838 

10,399 

3.788.6 


51.001 
88,231 
100,775 
7,619.7 


7,284,319 

656,505 

99.3% 

704.120 

100.0% 

706.216 

8.309.8 

217,546 

64.742 

4.124 

100.0% 

9.576 

4.401.8 

280,370 

20.732 

340,158 

18.703 

164.978 

7.912 

100.0% 

75.648 

5.662.5 

127,787 

77.760 

5.555 

100.0% 

7.112 

5,565.5 

1,982,682 

365,983 

44,535 

100.0% 

147,487 

7,438.8 

176,099 

46,465 

6,758 

100.0% 

12,774 

7,253.9 

133,954 

101,859 

10,229 

100.0% 

12.071 

9,011.3 

2.191 

102 

2.947 

536.2 


181 

139 

718 

261.6 


7.678 
11.284 
12.395 

937.2 


148.313 
152.264 
152.411 
1,793.4 


390 

834 

383.4 


2,140 

718 

751 

6,061 

453.7 


254 

273 

213,6 


6,485 
17,005 
8577 


633 
1,429 
811.5 


537 

587 

438.2 


13,866 

2,326 

28,917 

5.2609 


2.212 

1.699 

9.681 

3,527.0 


43,323 
76,947 
88,380 
6,682.5 


508.192 
551.856 
553.805 
6.516.4 


3,734 

8,742 

4.018.5 


18.592 
17.985 
7.161 
69,587 
5,208.8 


5,301 

6,839 

5,351.9 


38,050 
130,482 
6,581.1 


6.125 
11.345 
6.442.4 


9.692 
11.484 
8.573.1 


205 
229 
239 
18.1 


1.672 
1.731 
1.733 
20.4 


50 
II 
16 

137 
10.3 


5 
6 

4.7 


114 
198 
10.0 


13 

22 

12.5 


10 
13 
9.7 


133 

II 

190 

34.6 


12 

13 

67 

244 


359 
558 
626 
47.3 


3,507 
3,664 
3,673 
43.2 


31 

68 

31.3 


181 
124 
73 
579 
43.3 


10 
II 
8.6 


538 
1,097 
55.3 


46 
126 
71.6 


38 

58 

43.3 


1.015 

53 

1,288 

2343 


90 

47 
207 

75.4 


3,786 
4897 
5,130 
387.9 


78,890 

80,775 

80,826 

951.0 


197 

263 

120.9 


1,007 

322 

243 

2.439 

182.6 


167 

177 

138.5 


3.176 
6.579 
331.8 


207 

302 

171.5 


103 
III 
82.9 


1,020 

35 

1,437 

261.4 


77 

78 

438 

159.6 


3,328 
5,600 
6,400 
483.9 


64,244 
66,094 
66,179 

778.7 


158 

499 

229.4 


902 

261 

419 

2,906 

217.5 


2,657 
9,131 
460.5 


367 

979 

555.9 


386 

405 

302.3 


3,995 

736 

7,817 

1,422.2 


640 

375 

2,633 

959.3 


11,999 
21,123 
24,008 
1,815.3 


123.412 
132.723 
133.170 
1.567.0 


1. 172 

2,515 

1,156.1 


4,645 

4,045 

1.765 

16.512 

1.236.0 


1,388 

1,728 

1,352.3 


10,793 
33.875 
1,708.5 


1,928 

4,052 

2.301.0 


2,895 

3,605 

2,691.2 


7,713 

1,370 

17.453 

3.175.2 


1,393 

1,212 

6,346 

2,312.0 


22,365 
44.370 
52.315 
3,955.6 


289,126 
318,520 
319,850 
3,763.6 


2.297 

5,708 

2,623.8 


12,713 
13,181 
4.928 
49,282 
3.688.9 


3,252 

4.321 

3.381.4 


22,448 
83,892 
4,231.2 


3,937 

6,745 

3,830.2 


6,433 

7.439 

5.553.4 


2.158 

220 

3.647 

663.5 


179 

112 

702 

255.8 


8.959 
11,454 
12.057 

911.6 


95,654 
100,613 
100,785 

1.185.9 


265 

519 

238.6 


1,234 

759 

468 

3,793 

283.9 


661 

790 

618.2 


4809 
12,715 
641.3 


260 

548 
311.2 


364 

440 

328.5 


See  footnotes  at  end  of  table. 


336 


APPENDIX  IV  — Index  of  Crime,  Metropolitan  Statistical  Areas,  1987  —  Continued 


Meiropoliian  Statistical  Area 


Population 


Crime 
Index 
total 


Modified 
Cnme 
Index 
total' 


Violent 
cnme" 


Property 
cnme' 


Murder 
and  non- 
negligenl 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
ttien 


Motor 
vehicle 
theft 


Oklahoma  City,  Ok.  M.S.A 

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

City  of  Oklahoma  City  

Total  area  actually  reporting 

Rate  per  100,000  inhabitants 

Olympia,  Wa.  M.S.A 

(Includes  Thurston  County,) 

City  of  Olympia 

Total  area  actually  reporting 

Estimated  total 

Rate  per  100.000  inhabitants 

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

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

City  of  Omaha 

Total  area  actually  reporting 

Rate  per  100,000  inhabitants 

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

(Includes  only  Orange  County.) 

Total  area  actually  reporting 

Rate  per  100,000  inhabitants 

Orlando.  FI.  M.S.A 

(Includes  Orange,  Osceola  and 
Seminole  Counties.) 

City  of  Orlando 

Total  area  actually  reporting 

Rate  per  100,000  inhabitants 

Owensboro,  Ky.  M.S.A 

(Includes  Daviess  County.) 

City  of  Owensboro 

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

Oxnard-Ventura,  Ca.  M.S.A 

(Includes  Ventura  County.) 
City  of: 

Oxnard 

Ventura 

Total  area  actually  reporting 
Rate  per  100,000  inhabitants 

Panama  City,  FI.  M.S.A 

(Includes  Bay  County.) 

City  of  Panama  City 

Total  area  actually  reporting  ... 
Rate  per  100,000  inhabitants 
Parkersburg-Marietta,  W.V.-Oh. 

M.S.A 

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

Parkersburg,  W.V 

Marietta.  Oh 

Total  area  actually  reporting  .... 

Estimated  total 

Rate  per  100,000  inhabitants  ... 

Pascagoula,  Ms.  M.S.A 

(Includes  Jackson  County.) 

City  of  Pascagoula 

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

Pensacola,  FI.  M.S.A 

(Includes  Escambia  and  Santa  Rosa 
Counties.) 

City  of  Pensacola 

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

Peoria,  II.  M.S.A.* 

(Includes  Peoria,  Tazewell  and 
Woodford  Counties.) 

City  of  Peoria* 

Total  area  actually  reporting  .... 

Estimated  total 

Rate  per  100,000  inhabitants.,,. 


973,217 


441,408 

56,057 

100.0% 

87,220 

8,962.0 

149,080 

30.213 

2,109 

98.3% 

7,157 

100.0% 

7,416 

4,974.5 

612,527 

374,974 
100.0% 

282,539 

100.0% 
925,187 


150,250 
100.0% 


87,514 


56,289 
100.0% 


626,'4 


130.190 
87,856 
100,0% 

125,947 

36,592 
100.0% 


155,958 


38,102 

16,558 

99.5% 

100.0% 

128,195 

30,859 
100.0% 

347,151 


65,723 
100.0% 

341,397 


110,613 
98.9% 
100.0% 


24,383 
33,984 
5,548.2 


11,785 
4,171.1 


18,884 
70,807 
7,653.3 


2,993 

3,481 

3,977.6 


7,859 

4,687 

25,041 

3,997.3 


3.275 

7,545 

5,9906 


1,698 

502 

4,001 

4,031 

2.584.7 


2.735 

6,049 

4,718.6 


4,876 
22,029 
6,345.7 


3,798 
5,429 

557,8 


58 

301 

308 

206.6 


2,536 
2.968 
484.6 


1,270 
449.5 


3,411 
8,471 
915.6 


79 

100 

114.3 


385 
2,756 
439.9 


220 

516 

409.7 


63 
31 
156 
158 
101.3 


421 
606 

472.7 


540 
2.816 
811.2 


52.259 
81.791 
8,404.2 


2.051 

6,856 

7.108 

4,767.9 


21,847 
31,016 
5,063.6 


10.515 
3,721.6 


15,473 
62,336 
6,737.7 


2.914 

3,381 

3,863.4 


28 
30 
4.9 


27 
82 
8.9 


7 
9 
10.3 


6,979 

4 

70 

4,302 

2 

26 

22,285 

18 

201 

3,557.4 

2.9 

32.1 

3,055 

2 

40 

7,029 

11 

99 

5,580.9 

8.7 

78.6 

1,635 

2 

13 

471 

1 

5 

3,845 

4 

28 

3,873 

4 

28 

2,483.4 

2.6 

18.0 

2.314 

3 

19 

5,443 

4 

48 

4,245.9 

3.1 

37.4 

4,336 

9 

30 

19,213 

24 

214 

5,534.5 

6.9 

61.6 

8,609 

7 

13,519 

10 

13,689 

10 

4,009.7 

2.9 

381 
529 
54.4 


9 

67 

68 

45.6 


189 
232 
37.9 


181 
470 
50.8 


21 
26 

29.7 


1,322 
1,729 

177.7 


13 

39 

41 

27.5 


570 

675 

110.2 


410 
145.1 


1,029 
2,474 
267.4 


18 

23 
26.3 


339 

145 

738 

117.8 


79 
144 

114.3 


16 

4 

25 

26 

16.7 


64 

87 
67.9 


109 

512 

147.5 


182 
211 
215 
63.0 


2,047 
3,100 
318.5 


36 

193 

197 

132.1 


1,749 
2,031 
331.6 


795 
281.4 


2,174 
5,445 
588.5 


17,345 
26,055 
2,677.2 


376 

1,923 

2,025 

1,358.3 


5,338 

7,546 

1.231.9 


3,040 
1,076.0 


4,515 
20,034 
2,165.4 


28,159 
46,359 
4,763.5 


1,601 

4,650 

4,789 

3,212.4 


15,292 
21,772 
3,554.5 


6,787 
2,402.1 


9,853 
38,080 
4,115.9 


6.755 
9,377 
963.5 


74 

283 

294 

197.2 


1,217 
1,698 
277.2 


688 
243.5 


1,105 
4,222 
456.3 


33 

691 

2,129 

94 

42 

879 

2,389 

113 

48.0 

1,004.4 

2,729.8 

129.1 

467 

2,023 

4,371 

585 

212 

1,129 

2,836 

337 

1.799 

6,542 

13,802 

1,941 

287.2 

1,044.3 

2,203.2 

309.8 

99 

694 

2,246 

115 

262 

1,661 

4,979 

389 

208.0 

1,318.8 

3.953.3 

308.9 

32 

458 

1,098 

79 

21 

153 

283 

35 

99 

1.085 

2,581 

179 

100 

1,090 

2,602 

181 

64.1 

698.9 

1,668.4 

1161 

33S 

774 

1,441 

99 

467 

2,092 

3.052 

299 

364.3 

1.631.9 

2,380.7 

233.2 

392 

1,134 

3,021 

181 

2,066 

5,644 

12.572 

997 

595.1 

1.625.8 

3,621.5 

287.2 

972 

2,402 

5.949 

258 

1,182 

3,687 

9,414 

418 

1,190 

3,724 

9.532 

433 

348.6 

1,090.8 

2,792.1 

1268 

See  footnoles  al  end  of  table. 


337 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1987  —  Continued 


Metropolilan  Stalislical  Area 

Population 

Cnme 
Index 
total 

Modified 
Cnme 
Index 
total' 

Violenl 
cnme' 

Property 
cnme 

Murder 
and  non- 
negligenl 

man- 
slaughter 

Forcible 
rape 

Robbery 

.Aggra- 
valed 
assaull 

Burglary 

Larccny- 
thefl 

Motor 
vehicle 
theft 

Arson' 

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

4,848,006 

(Includes  Bucks,  Chester.  Delaware. 

Montgomery  and  Philadelphia 

Counties.  Pa.,  and  Burlington, 

Camden  and  Gloucester  Counties, 

N.J.) 

City  of  Philadelphia 

1.649.364 

94,575 

17.398 

77.177 

338 

1.102 

9,302 

6,656 

20,070 

41,784 

15.323 

Total  area  actually  reporting 

99. 2% 

213,591 

29.788 

183.803 

452 

1.834 

12,537 

14,965 

44,452 

111,016 

28.335 

Estimated  total 

100.0% 

214,603 

29.875 

184.728 

453 

1.839 

12,556 

15,027 

44,643 

111,661 

28.424 

Rate  per  100,000  inhabitants 

4,426.6 

616.2 

3.810.4 

9.3 

37.9 

259.0 

310.0 

920.9 

2,303.2 

586.3 

Phoenix,  Az.  M.S.A 

1,967,869 

(Includes  Mancopa  County.) 

City  of  Phoenix 

933,177 

83,960 

8,181 

75,779 

111 

503 

2,287 

5,280 

21,185 

48,700 

5,894 

Total  area  actually  reporting 

100.0% 

149,358 

12,759 

136,599 

168 

841 

3,197 

8,553 

35,158 

91,739 

9,702 

Rate  per  100.000  inhabitants 

7,589.8 

648.4 

6.941.5 

8.5 

42.7 

162.5 

4346 

1,786.6 

4,661  8 

493.0 

Pine  Bluff,  Ar.  M.S.A 

90,626 

(Includes  Jefferson  County.) 

City  of  Pine  Bluff 

61,747 

4,453 

563 

3.890 

7 

51 

102 

403 

1,115 

2,628 

147 

Total  area  actually  reporting 

100.0% 

5,048 

632 

4,416 

9 

61 

108 

454 

1,370 

2,867 

179 

Rate  per  100.000  inhabitants 

5.570.1 

697  4 

4.872.8 

9,9 

67.3 

119.2 

501.0 

1.511.7 

3,163.6 

197.5 

Pittsburgh,  Pa.  M.S.A 

2,129,920 

(Includes  Allegheny.  Fayette. 

Washington  and  Westmoreland 

Counties.) 

City  of  Pittsburgh 

389,015 

30,836 

4,318 

26.518 

37 

263 

2.834 

1.184 

7,647 

11.723 

7.148 

Total  area  actually  reporting 

96.8% 

64,901 

7,426 

57.475 

66 

574 

3.651 

3.135 

15,802 

30.036 

11.637 

Estimated  total 

100,0% 

66,680 

7,580 

59,100 

67 

583 

3.683 

3.247 

16,136 

31,178 

11.786 

Rate  per  100,000  inhabitants 

3,130.6 

355.9 

2,774.8 

3.1 

27.4 

172.9 

152.4 

757.6 

1,463.8 

553.4 

Pittsfield,  Ma.  M.S.A 

101,411 

(Includes  part  of  Berkshire  County.) 

City  of  Pittsfield 

Total  area  actually  reporting 

49,776 

1,768 

205 

1.563 

31 

35 

139 

587 

825 

151 

84.4% 

2,308 

247 

2,061 

33 

43 

171 

749 

1.110 

202 

Estimated  total    . 

100,0% 

2,815 

287 

2,528 

36 

52 

199 

863 

1.378 

287 

Rate  per  100,000  inhabitants 
Portland,  Me,  M.S.A 

2.775.8 

283.0 

2.492.8 

35.5 

51.3 

196.2 

851.0 

1.358.8 

283.0 

223,057 

(Includes  part  of  Cumberland  and 

York  Counties  ) 

City  of  Portland 

63,386 

8,074 

522 

7.552 

2 

29 

147 

344 

1,563 

5.578 

411 

Total  area  actually  reporting 

100.0% 

14,127 

670 

13.457 

6 

45 

172 

447 

2,785 

9.981 

691 

Rale  per  100,000  inhabitants 

6.333.4 

300.4 

6.033.0 

2.7 

20.2 

77.1 

200,4 

1.248.6 

4,474.6 

309,8 

Portland,  Or.  M.S.A 

1,163,953 

(Includes  Clackamas.  Multnomah. 

Washington  and  Yamhill  Counties  ) 

City  of  Portland 

390,845 

64,802 

8.763 

56.039 

66 

407 

3.667 

4.623 

15,185 

35,695 

5,159 

Total  area  actually  reporting 

100.0% 

102,951 

10.585 

92.366 

93 

671 

4.369 

5.452 

26.385 

57,843 

8,138 

Rale  per  100,000  inhabitants 

8.844.9 

909.4 

7.935.5 

8.0 

57.6 

375.4 

468,4 

2.266.8 

4,969.5 

699.2 

Portsmouth-Dover-Rochester,  N.H.- 

Me.  M.S.A 

207,295 

(Includes  Rockingham  and  Strafford 

Counties.  N.H.,  and  York  County, 

Me.) 

City  of: 

Portsmouth 

26,731 
24.467 
24.055 
100.0% 

1,370 
1,136 
1.084 
7.826 

169 

12 

130 

430 

1,201 

1,124 

954 

7,396 

2 
4 

8 

1 

44 

64 

15 
2 
4 

44 

146 

9 

80 

318 

225 

124 

215 

1.445 

913 

952 

693 

5.559 

63 
48 
46 
392 

Dover    

Rochester 

Total  area  actually  reporting 

Rate  per  100.000  inhabitants 

3,775.3 

207.4 

3,567.9 

1.9 

30.9 

21.2 

153,4 

697.1 

2,681,7 

189.1 

Poughkeepsie,  N.Y.  M.S.A 

257,564 

(Includes  Dutchess  County  ) 

City  of  Poughkeepsie     

30,079 

2,039 

251 

1,788 

17 

184 

50 

552 

1,124 

112 

Total  area  actually  reporting 

98.6% 

8.076 

826 

7,250 

12 

29 

248 

537 

1.816 

5.056 

378 

Estimated  total       

100.0% 

8.202 
3.184.5 

835 
324.2 

7,367 
2,860.3 

12 
47 

29 
11.3 

251 
97.5 

543 
210.8 

1.842 
715.2 

5.138 
1,994.8 

387 
150.3 

Rate  per  100.000  inhabitants 

Pro»idence,  R.I.  M.S.A 

652,848 

(Includes  part  of  Bristol,  Kent. 

Newport.  Providence  and  Washington 

Counties.) 

City  of  Providence 

158.978 

19.082 

1,754 

17,328 

20 

98 

735 

901 

5.499 

8,109 

3,720 

Total  area  actually  reporting 

99.2% 

39.039 

2,828 

36,211 

31 

196 

883 

1,718 

10.587 

19,458 

6.166 

Estimated  total 

100.0% 

39.218 

2,837 

36,381 

31 

197 

885 

1,724 

10.639 

19,557 

6.185 

Rate  per  100.000  inhabitants 

6.007.2 

434.6 

5,572.7 

4.7 

302 

135.6 

264.1 

1.629.6 

2.995.6 

947.4 

Provo-Orem,  Ut.  M.S.A 

242,623 

(Includes  Utah  County.) 

City  of; 

Provo 

78.164 

3.428 

161 

3.267 

1 

9 

13 

138 

633 

2.529 

105 

Orem 

62,134 

2.912 

104 

2.808 

10 

4 

90 

306 

2.418 

84 

Total  area  actually  reporting 

100.0% 

10.658 

358 

10.300 

5 

32 

24 

297 

1,638 

8.323 

339 

Rate  per  100.000  inhabitants 

4.392.8 

147.6 

4,245.3 

2.1 

13.2 

9.9 

122.4 

675.1 

3.430.4 

139.7 

See  footnotes  at  end  of  table- 


338 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1987  —  Continued 

Melropolilan  Siatislicai  Area 

Population 

Cnmc 
Index 
tola! 

Modified 
Cnme 
Index 
total' 

Violent 
cnme- 

Property 
cnme' 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
Iheft 

Motor 
vehicle 
theft 

Arson' 

Pueblo.  Co.  M.S.A 

128,240 

(Includes  Pueblo  County.) 

City  of  Pueblo 

102,148 

7.001 

969 

5.032 

7 

64 

128 

770 

1.532 

4.191 

309 

Total  area  actually  reporting  . 

100,0% 

7.817 

1.075 

5.742 

8 

94 

136 

837 

1.723 

4,585 

333 

Rate  per    100.000  inhabitants 

6.095.6 

838.3 

5.257.3 

52 

73.3 

106.1 

652.7 

1.343.6 

3.654.1 

259.7 

Racine,  Wi.  M.S.A 

173,096 

(Includes  Racine  County  ) 

City  of  Racine               

82.821 

6.803 

700 

5,103 

4 

95 

228 

373 

1.514 

4.140 

349 

Total  area  actually   reporting 

100,0% 

9,472 

802 

8,670 

8 

103 

260 

431 

2.237 

5.929 

504 

Rate  per   100,000  inhabitants 

5,472.1 

463.3 

5.008.8 

4.6 

59.5 

150.2 

249.0 

1,292.3 

3,425.3 

291.2 

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

658,620 

(Includes  Durham.  Franklin,  Orange 

and  Wake  Counties.) 

City  of: 

Raleigh 

182.750 

12.669 

1.124 

11.545 

15 

78 

384 

547 

3.240 

7.540 

665 

Durham 

115.344 

10.528 

711 

9,817 

14 

70 

307 

320 

2.973 

5.312 

532 

Total  area  actually  reporting 

99,6% 

37.908 

2.696 

35,212 

52 

205 

868 

1.571 

10.842 

22.515 

1.854 

Estimated  total 

100.0% 

38.098 

2.717 

35,381 

52 

206 

871 

1.588 

10.888 

22.531 

1,862 

Rate  per  100.000  inhabitants 

5.784.5 

412.5 

5,372.0 

7.9 

31.3 

132.2 

241,1 

1,653.2 

3.436.1 

282.7 

Rapid  City,  S.D.  M.S.A 

76,294 

(Includes  Pennington  County.) 

City  of  Rapid  City           

52.614 

3.848 

245 

3.503 

1 

47 

29 

168 

512 

2.840 

151 

Total  area  actually   reporting 

100.0% 

4,556 

314 

4.242 

1 

53 

33 

217 

765 

3.299 

177 

Rate  per  100.000  inhabitants 

5.971.6 

411  6 

5.560.1 

1.3 

82.6 

43.3 

2844 

1.004.0 

4.324.1 

232.0 

Reading.  Pa.  M.S.A 

322,264 

(Includes  Berks  County.) 

City  of  Reading 

77,925 

5.397 

624 

4.773 

10 

43 

301 

270 

1.857 

2.596 

320 

Total  area  actually   reporting 

96.8% 

9.854 

878 

8.976 

18 

65 

347 

448 

2.783 

5.667 

526 

Estimated  total 

100.0% 

10.125 

901 

9.224 

18 

66 

352 

465 

2.834 

5,841 

549 

Rale  per    100.000  inhabitants 

3.141.8 

279.6 

2.852.2 

5.6 

20.5 

109.2 

144,3 

879.4 

1.812.5 

170.4 

Redding.  Ca.  M.S.A 

136,464 

(Includes  Shasta  County.) 

City  of  Redding 

52.792 

4.035 

474 

3.561 

3 

43 

66 

362 

1.010 

2,270 

281 

Total  area  actually  reporting 

100.0% 

7,765 

1.104 

6.661 

13 

74 

95 

922 

2.104 

4.119 

438 

Rate  per   100.000  inhabilanls 

5,690.1 

8090 

4.881  1 

95 

54.2 

59.6 

675,5 

1.541.8 

3.018.4 

321.0 

Reno,  Nv.  M.S.A 

234,545 

(Includes  Washoe  County.) 

City  of  Reno                    

115.320 

9.806 

903 

8,903 

12 

115 

408 

368 

2.134 

5.031 

738 

Total  area  actually   reporting 

100.0% 

15.186 

1.368 

13,818 

15 

202 

521 

629 

3.471 

9.301 

1,046 

Rate  per    100,000  inhabitants    

6.474.7 

583.3 

5.891.4 

6.8 

86  1 

222.1 

258.2 

1.479.9 

3.9656 

4460 

Richland-Kennewick-Pasco,  Wa. 

M.S.A 

152,030 

(Includes  Benton  and  Franklin 

Counties.) 

City  of: 

Richland 

33.131 

1.513 

37 

1.476 

17 

11 

9 

352 

1.073 

41 

Kennewick 

40.117 

3.560 

95 

3.465 

4 

15 

17 

59 

985 

2.365 

114 

Pasco    

19.474 

2.587 

188 

2,399 

9 

22 

38 

119 

726 

1.552 

121 

Total  area  actually  reporting 

100.0% 

9.472 

483 

8.989 

17 

81 

71 

314 

2.735 

5.898 

355 

Rate  per   100.000  inhabitants 

6.2303 

317.7 

5,912.6 

11.2 

53.3 

46.7 

205.5 

1,799.0 

3.879.5 

234.2 

Richmond-Petersburg,  Va.  M.S.A 

826,626 

(Includes  Colonial  Heights,  Hopewell. 

Petersburg  and  Richmond  Cities  and 

Charles  City,   Chesterfield.   Dmwiddie, 

Goochland.   Hanover,   Henrico.   New 

Kent,  Powhatan  and  Prince  George 

Counties.) 

City  of: 

Richmond           

222.113 

18.564 

2.614 

15.950 

78 

182 

1.083 

1.271 

4,143 

9,959 

1.838 

Petersburg           ..,,,.... 

40.607 

3,121 

392 

2.729 

6 

27 

158 

201 

712 

1.893 

124 

Total  area  actually  reporting 

100.0% 

41,954 

4.013 

37.941 

118 

325 

1.588 

1.982 

9.197 

25.728 

3.016 

Rate  per   100.000  inhabitants 

5.075.3 

485.5 

4.5899 

143 

39.3 

192.1 

239,8 

1.112.6 

3.112.4 

364.9 

Riverside-San  Bernardino,  Ca. 

M.S.A 

2,051,682 

(Includes  Riverside  and  San 

Bernardino  Counties.) 

City  of: 

Riverside            

201.723 
142.124 

16,953 
15,931 

2.190 
2.425 

14.763 
13.506 

17 
35 

126 
105 

493 
1.016 

1.554 
1.268 

5.128 
4.147 

7.857 
7.458 

1.778 
1.891 

San   Bernardino    

Total  area  actually  repelling    . 

100.0% 

152,951 

21.796 

131.155 

241 

921 

4.550 

16.074 

45.739 

68.819 

16.597 

Rate  per  100.000  inhabitants 

7.454.9 

1.062.3 

5.392.6 

11.7 

44.9 

222.3 

783,5 

2.229.3 

3.354.3 

8089 

Roanoke.  Va.  M.S.A 

229,357 

(Includes  Roanoke  and  Salem  Cities, 

and  Botetourt  and  Roanoke  Counties.) 

City  of  Roanoke 

103.966 

7.594 

432 

7.152 

15 

28 

182 

206 

1.764 

5.167 

231 

Total  area  actually   reporting 

100.0% 

11.119 

579 

10,540 

18 

48 

197 

316 

2.307 

7.853 

380 

Rate  per  100,000  inhabitants 

4,847.9 

252.4 

4.595.5 

7.8 

20  9 

85.9 

137.8 

1,005.9 

3,423.9 

165.7 

See  footnotes  at  end  of  table. 


339 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1987  —  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- 
ihefl 

Motor 
vehicle 
theft 

Arson' 

Rochester,  Mn,  M.S.A 

(Includes  Olmsted  County.) 

98,695 

58,542 
100.0% 

981,111 

236,672 
100.0% 

1,324,043 

331,728 
100.0% 

405,571 

72.824 
39.894 
36.065 
99.4% 
100,0% 

176,342 

43.154 
100.0% 

86,427 

74.611 
100.0% 

2,465,116 

429.414 
94.5% 
100.0% 

263,990 

94.838 
98.8% 
100.0% 

348,287 

99,411 
37,987 
30.799 
100.0% 

1,050,591 

159,839 
68,086 
100.0% 

98,629 

86,813 
100.0% 

3.183 

3.673 

3.721.6 

23,187 
47,229 
4.813.8 

34.355 
95.780 
7,233.9 

7,507 

2,365 

1,601 

21,444 

21.590 

5,323.4 

3,006 

5,868 

3.327.6 

5,013 

5.342 

6,180.9 

54,408 
127,025 
130,676 
5,301.0 

9,319 
17,977 
18,193 
6,891.5 

7.726 
2.675 
2.380 
18.818 
5.403.0 

20.873 

6.649 

71,463 

6,802.2 

5,174 

5,733 

5,812,7 

73 

92 

93,2 

2.493 
3.499 
356,6 

3,836 
9,460 
714.5 

1,460 
195 
34 
2.461 
2,473 
609.8 

81 
173 
98,1 

296 

342 

395,7 

9,778 
16,714 
17,016 

690.3 

316 
1,015 
1.025 
388.3 

884 

813 

269 

2.628 

754.6 

1,090 

276 

3,060 

291.3 

345 

418 

423.8 

3,110 

3,581 

3.628.3 

20.694 
43.730 
4.457.2 

30,519 
86,320 
6.519.4 

6.047 

2.170 

1.567 

18.983 

19,117 

4,713.6 

2,925 

5.695 

3.229.5 

4.717 

5.000 

5.785.2 

44.630 
110.311 
113.660 
4.610.7 

9,003 
16,962 
17,168 
6.503.3 

6.842 

1.860 

2.111 

16.190 

4.648,5 

19.783 

6.373 

68,403 

6,510,9 

4.829 

5.315 

5.388.9 

17 

21 

21.3 

165 
292 
29.8 

241 
607 
45.8 

167 
31 
4 
324 
325 
80.1 

8 

27 

15.3 

23 

24 

27.8 

332 
554 
574 
23.3 

54 
107 
108 
40.9 

52 

24 

16 

145 

41.6 

94 

49 

286 

27.2 

16 

19 
19.3 

15 

18 

18.2 

1.021 
1.301 
132.6 

1,841 
3,292 
248.6 

288 

28 

14 

450 

454 

111.9 

12 

19 

10.8 

47 

48 

555 

3,296 
4,999 
5,043 
204.6 

203 

306 

309 

117.0 

192 

177 

72 

538 

154.5 

482 

92 

825 

78,5 

33 
39 

39,5 

41 

53 

53,7 

1,278 
1,870 
190.6 

1,676 
5,421 
409.4 

982 

135 

16 

1,653 

1,660 

409.3 

61 
126 
71.5 

225 

268 

310.1 

5.997 
10.909 
11.143 

452.0 

57 

589 

595 

225.4 

633 

610 

181 

1,930 

554.1 

501 

129 

1.911 

181.9 

288 

349 

353.9 

515 

704 

713.3 

5.418 
9.462 
964.4 

8.800 
22.928 
1.731.7 

2.062 

418 

174 

4.427 

4.454 

1.098,2 

406 

855 
484,9 

1.265 

1.394 

1.612,9 

11.796 
29.196 
30,116 
1,221.7 

2,082 

4,198 

4,250 

1,609.9 

1.739 
456 
450 

4.386 
1.259.3 

3.997 

1.052 

12.369 

1.177.3 

1.252 

1,445 

1.465.1 

2.508 

2.762 

2.798.5 

14,093 
32,358 
3,298.1 

17,856 
54,137 
4.088.8 

3.688 

1.673 

1.362 

13.711 

13.801 

3,402,9 

2,397 

4.568 

2,590.4 

3.268 

3.410 

3.945.5 

25.157 
68.429 
70.605 
2.864.2 

6.488 
11.904 
12.046 
4.563.1 

4.689 

1,230 

1,555 

10,776 

3.094.0 

14.863 

5.053 

53.351 

5.078.2 

3.444 

3.725 
3.7768 

87 

115 

116.5 

1.183 
1.910 
194.7 

3,863 
9,255 
699.0 

297 

79 

31 

845 

862 

212.5 

122 

272 

154.2 

184 

196 

226.8 

7,677 
12,686 
12,939 

524.9 

433 

860 

872 

330.3 

414 

174 

106 

1,028 

295.2 

923 

268 

2,683 

255.4 

133 

145 

147.0 

Total  area  actually  reponing 

Rate  per  100.000  inhabitants 

Rochester,  N.Y.  M.S.A 

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

City  of  Rochester             

29 
36 

3.7 

78 
140 
10.6 

23 

1 

34 
34 
8,4 

1 

,6 

1 

2 

2,3 

153 
252 
256 
10.4 

2 
13 
13 
4.9 

7 
4 

15 

4.3 

13 

6 

38 

3.6 

8 

11 

11.2 

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 
Sajinaw-Bay  City-Midland,  Mi. 
M.S.A 

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

Bav  Citv 

Midland 

Total  area  actually  reporting 

Estimated  total      

Rale  per  100.000  inhabitants 

St.  Ooud,  Mn.  M.S.A 

(Includes  Benton.  Sherburne  and 
Steams  Counties.) 

City  of  Saint  Cloud                   ..     . 

Total  area  actually  reporting 

Rate  per  100.000  mhabitants        . 

St.  Joseph,  Mo.  M.S.A 

(Includes  Buchanan  County.) 

Total  area  actually  reponing 

Rate  per  100,000  mhabitants 

St.  Louis,  Mo.-II.  M.S.A.' 

(Includes  St.  Louis  City  and  Franklm. 
Jefferson,  St.  Charles  and  St.  Louis 
Counties,  Mo.,  and  Clinton,  Jersey, 
Madison.  Monroe,  and  St.  Clair 
Counties.  11.) 

Total  area  actually  reponing 

Estimated  total    

Rate  per  100,000  inhabitants 

Salem,  Or.  M.S.A 

(Includes  Marion  and  Pclk  Counties.) 

Total  area  actually  reporting 

Estimated  total        

Rate  per  100.000  inhabitants 

Sallnas-Seaside-Monterey,  Ca.  M.S.A. 
(Includes  Monterey  County.) 
City  of; 

Total  area  actually  reponing 
Rate  per  100.000  inhabitants 

Salt  Lake  CIty-Ogden,  Lit.  M.S.A 

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

Ogden  

Total  area  actually  reporting 
Rate  per  100.000  inhabitants  . 

San  Angelo,  Tx.  M.S.A 

(Includes  Tom  Green  County.) 

City  of  San  Angelo 

Total  area  actually  reporting 

Rate  per  100.000  inhabitants 

See  footnotes  at  end  of  table. 


340 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1987  —  Continued 

Metropolitan  Statistical  Area 

Population 

Cnme 
Indei 
tola] 

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 

Arson' 

San  Antonio,  Tx.  M.S.A 

1,283,681 

(Includes  Bexar,  Comal  and 

Guadalupe  Counties) 

City  of  San  Antonio 

920.215 

118.948 

6.092 

112.856 

174 

849 

3,253 

1.816 

33.041 

66.198 

13,617 

Total  area  actually  reporting 

100.0% 

139.586 

7.404 

132,182 

195 

942 

3,461 

2.806 

39.116 

77,875 

15,191 

Rale  per  100.000  inhabitants 

10.873.9 

576.8 

10.297.1 

15.2 

73.4 

269.6 

218.6 

3.047.2 

6.0665 

1.183.4 

San  Diego.  Ca.  M.S.A 

2,256,942 

(Includes  San  Diego  County.) 

City  of  San  Diego 

1.040.851 

88.227 

9,112 

79.115 

96 

410 

3,452 

5.154 

17.370 

43,590 

18.155 

Total  area  actually  reporting 

100,0% 

157.761 

16.284 

141,477 

176 

801 

5,421 

9.886 

35.214 

76,583 

29.680 

Rate  per  100.000  inhabitants 

6,990.0 

721.5 

6.268.5 

7.8 

35.5 

240.2 

438.0 

1,560.3 

3,393.2 

1,315.1 

San  Francisco,  Ca.  M.S.A 

1,628,140 

(Includes  Maiin,  San  Francisco  and 

San  Mateo  Counties.) 

City  of  San  Francisco 

767.933 

57.837 

9.298 
14.518 

48.539 
85.057 

103 

452 

4.654 
5,604 

4.089 
8.092 

9,642 
16.849 

31.172 
57.369 

7.725 
10,839 

Total  area  actually  reporting 

100.0% 

99.575 

138 

684 

Rate  per  100.000  inhabitants 

6.115.9 

891.7 

5,224.2 

8.5 

42.0 

344.2 

497.0 

1,034.9 

3.523.6 

665.7 

San  Jose,  Ca.  M.S.A 

1,437,028 

(Includes  Santa  Clara  County.) 

City  of  San  Jose 

730.079 

36.518 

4.378 

32,140 

24 

393 

944 

3.017 

6.434 

22,259 

3.447 

Total  area  actually  reporting 

100.0% 

69.736 

7.172 

62,564 

49 

596 

1,516 

5.011 

12,450 

44,565 

5.549 

Rate  per  100,000  inhabitants 

4,852.8 

499.1 

4,353.7 

3.4 

41.5 

105.5 

348.7 

866.4 

3.101.2 

386.1 

Santa  Barbara-Santa  Maria-Lompoc, 

Ca.  M.S.A 

347.979 

(Includes  Santa  Barbara  County.) 

City  of: 

Santa  Barbara 

81.294 

4.312 

520 

3.792 

5 

43 

107 

365 

809 

2.543 

440 

Santa  Mana  

52.566 

4.287 

282 

4.005 
1.857 

1 

17 

85 

179 

991 

2.819 
1.299 

195 
98 

Lompoc      

31,907 

1.987 

130 

3 

10 

28 

89 

460 

Total  area  actually  reporting 

100.0% 

17.021 

1.514 

15.507 

13 

113 

272 

1,116 

3,421 

10.996 

1.090 

Rate  per  100,000  inhabitants 

4.891.4 

435.1 

4.456.3 

3.7 

32.5 

78.2 

320.7 

983.1 

3.1600 

313.2 

Santa  Cruz,  Ca.  M.S.A 

224,022 

(Includes  Santa  Cruz  County) 

City  of  Santa  Cruz 

47.050 

4.830 

391 

4.439 

2 

28 

111 

250 

1,022 

3.161 

256 

Total  area  actually  reporting 

100.0% 

14.219 

1.146 

13.073 

14 

82 

271 

779 

3,696 

8.545 

832 

Rate  per  100.000  inhabitants 

6.347.1 

511.6 

5.835.6 

6.2 

36.6 

121.0 

347.7 

1,649.8 

3.814.4 

371.4 

Santa  Rosa-Petal uma,  Ca.  M.S.A 

352,285 

(Includes  Sonoma  County.) 

City  of: 

Santa  Rosa 

100,067 

6.568 

444 

6.124 

2 

48 

143 

251 

1,509 
533 

4.203 
1.170 

412 

Petaluma 

39,535 

2.000 

209 

1.791 

2 

14 

3] 

162 

88 

Total  area  actually  reporting 

100.0% 

17.354 

1.453 

15.901 

19 

160 

286 

988 

4,694 

10il85 

1.022 

Rate  per  100.000  inhabitants 

4.926.1 

412.5 

4.513.7 

5.4 

45,4 

81.2 

280.5 

1,332.4 

2,891.1 

290.1 

Sarasou,  H.  M.S.A 

251,542 

(Includes  Sarasota  County.) 

City  of  Sarasota 

53,036 

5.816 

587 

5.229 

8 

67 

238 

274 

1,540 

3,424 

265 

Total  area  actually  reporting 

100.0%. 

16.821 

1.572 

15.249 

16 

123 

349 

1,084 

4,214 

10,349 

686 

Rate  per  100.000  inhabitants 

6.687.2 

624.9 

6.062.2 

6.4 

48.9 

138.7 

430.9 

1,675.3 

4,114.2 

272.7 

Savannah,  Ga.  M.S.A 

244,322 

(Includes  Chatham  and  Effingham 

Counties) 

City  of  Savannah 

149.631 

11,704 

1,040 

10.664 

24 

59 

603 

354 

3,363 
4.708 

6,898 
9,701 

403 
667 

Total  area  actually  reporting  

100.0% 

16.529 

1^453 

15!o76 

33 

100 

702 

618 

Rate  per  100,000  inhabitants  

6.765.3 

594.7 

6.170.5 

13.5 

40.9 

287.3 

252-9 

1.927.0 

3.970.6 

273.0 

Seattle,  Wa.  M.S.A 

1,780,288 

(Includes  King  and  Snohomish 

Counties.) 

City  of  Seattle 

494,426 

72.937 

7.096 

65.841 

54 

465 

2.959 
3.821 

3,618 
5,019 

17.254 
37.875 

43,586 
91.480 

5,001 
10,123 

Total  area  actually  reporting 

99.8%, 

149.466 

9.988 

139.478 

91 

1.057 

Estimated  total         

I00.0%> 

149.920 

10.001 

139,919 

91 

1,059 
59.5 

3.825 
214.9 

5,026 

38,053 
2.137.5 

91.724 
5,152.2 

10,142 
569.7 

Rate  per  100.000  inhabitants 

8,421.1 

561  8 

7.859.3 

5.1 

282.3 

Sharon,  Pa.  M.S.A 

124,087 

(Includes  Mercer  County.) 

City  of  Sharon          

16.214 

749 

76 

673 

1 

2 

17 

56 

205 

418 

50 

Total  area  actually  reporting 

100.0% 

2.949 

187 

2.762 

5 

13 

34 

135 

664 

1.900 

198 

Rate  per  100,000  inhabitants 

2.376.6 

150.7 

2.225.9 

4.0 

10.5 

27  4 

108.8 

535.1 

1.531.2 

159  6 

Sheboygan,  Wi.  M.S.A 

103,174 

(Includes  Sheboygan  County.) 

City  of  Sheboygan 

47,629 

2.672 

77 

2,595 

3 

10 

64 

433 

2.082 
2.736 

80 

Total  area  actually  reporting 

94.3% 

3.539 

86 

3,453 

7 

11 

68 

605 

112 

Estimated  total    

100.0% 

3,784 

95 

3,689 

7 

13 

75 

647 

2^92 1 
2,831.1 

121 

Rate  per  100,000  inhabitants 

3,667.6 

92.1 

3,575.5 

6.8 

12.6 

72.7 

627.1 

1 17.3 

Sherman-Denison,  Tx.  M.S.A 

98,931 

(Includes  Grayson  County.) 

City  of; 

Sherman 

31.732 

4.373 

193 

4,180 

1 

3 

81 

103 

970 

2,966 

244 

Denison 

24.798 

2.636 

273 

2.363 

3 

1 

44 

225 

611 

1,594 

158 

Total  area  actually  reporting 

100.0% 

8,370 

522 

7.848 

8 

18 

136 

360 

2.149 

5,238 

461 

Rate  per  100,000  inhabitants 

8.460.4 

527.6 

7,932.8 

8.1 

18.2 

137.5 

363.9 

2,172.2 

5,294,6 

466.0 

Sec  footnotes  at  end  of  table. 


341 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1987  —  Continued 


Metropolitan  Statistical  Area 

Populalion 

Cnme 
Index 
total 

Modified 
Cnme 
Index 
total' 

Violent 
cnme- 

Propcny 
cnme' 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
theft 

Motor 
vehicle 
theft 

Arson' 

Shreveport.  La.  M.S.A 

361,336 

(Includes  Bossier,  and  Caddo 

Panshes.) 

City  of  Shreveport 

218.407 

23,306 

2,126 

21,180 

40 

113 

653 

1,320 

5.926 

14.349 

905 

Total  area  actually  reporting 

1000% 

30,178 

2,738 

27,440 

47 

174 

718 

1,799 

7,627 

18,578 

1,235 

Rate  per  100.000  inhabitants 

8,351,8 

757,7 

7,594,0 

13,0 

48  2 

198,7 

497.9 

2.110,8 

5,141,5 

341.8 

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

115,278 

(Includes  Woodbury  County.  la.,  and 

Dakota  County.  Nb,) 

City  of  Sioux  City 

79,121 

7,167 

498 

6.669 

4 

21 

82 

391 

1,885 

4.485 

299 

Total  area  actually  reporting 

100.0% 

8,286 

537 

7.749 

4 

22 

88 

423 

2,203 

5.195 

351 

Rate  per  100.000  inhabitants 

7.187,8 

465,8 

6,722,0 

3  5 

19  1 

76,3 

366.9 

1.911,0 

4,506,5 

304.5 

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

123,009 

(Includes  Minnehaha  County,) 

City  of  Sioux  Falls 

97.608 

4,163 

201 

3.962 

1 

39 

32 

129 

780 

3,045 

137 

Total  area  actually  reporting 

100.0% 

4,404 

215 

4.189 

2 

42 

32 

139 

872 

3,165 

152 

Rate  per  100.000  inhabitants 

3.5802 

174,8 

3,4054 

16 

34,1 

26,0 

113.0 

708,9 

2,573.0 

123,6 

South  Bend-Mishawaka,  In.  M.S.A.... 

242,602 

(Includes  St.  Joseph  County.) 

City  of: 

South  Bend     

107,724 

12,031 

710 

11,321 

11 

110 

336 

253 

3,598 

7.251 

472 

Mishawaka 

41,606 

3,371 

241 

3,130 

2 

20 

42 

177 

620 

2,293 

217 

Total  area  actually  reporting 

100  0% 

17,916 

1,060 

16,856 

16 

145 

403 

496 

4,812 

11,193 

851 

Rate  per  100.000  inhabitants 

7.384,9 

436,9 

6.948,0 

6,6 

598 

166  1 

204.5 

1,983,5 

4.613,7 

350,8 

Spokane,  Wa.  M.S.A 

362,938 

(Includes  Spokane  County.) 

City  of  Spokane 

175.815 

15,824 

1,095 

14,729 

16 

71 

452 

556 

4,715 

9,313 

701 

Total  area  actually  reporting 

96,3% 

23,080 

1,243 

21,837 

21 

104 

539 

579 

7,087 

13,733 

1.017 

Estimated  total 

100.0% 

24,474 

1,285 

23,189 

22 

HI 

550 

602 

7,634 

14,481 

1,074 

Rate  per  100,000  inhabitants 

6,7433 

354.1 

6,389,2 

6,1 

30.6 

151,5 

165.9 

2,103,4 

3.989,9 

295,9 

Springfield,  II.  M.S.A.* 

191,158 

(Includes  Menard  and  Sangamon 

Counties.) 

City  of  Spnngfield^ 

100,584 

7,834 

10 

247 

572 

2.048 

5,556 

230 

Total  area  actually  reporting 

98,1% 

9,789 

10 

271 

634 

2,740 

6,704 

345 

Estimated  total  

100,0% 

9,946 

10 

275 

641 

2,774 

6,813 

359 

Rate  per  100.000  inhabitants 

5.203  0 

5,2 

143,9 

335,3 

1,451,2 

3,564,1 

187.8 

Springfield,  Mo.  M.S,A 

226,946 

(Includes  Chnstian  and  Greene 

Counties.) 

City  of  Spnngfieid    

140.378 

10,243 

439 

9,804 

1 

41 

157 

240 

2,528 

6,849 

427 

Total  area  actually  reporting 

100.0% 

11.944 

604 

11.340 

4 

54 

163 

383 

3.029 

7,810 

501 

Rate  per  100.000  inhabitants 

5,262,9 

266,1 

4,996  8 

1,8 

238 

71,8 

168,8 

1,334.7 

3.441.3 

2208 

Springfield,  Ma.  M.S.A 

528,445 

(Includes  part  of  Hampden  and 

Hampshire  Counties.) 

City  of  Springfield 

150,002 

10,609 

2,392 

8,217 

8 

156 

628 

1,600 

3,438 

3.342 

1.437 

Total  area  actually  reporting 

96-6% 

23,276 

3,437 

19,839 

14 

254 

799 

2,370 

6.444 

9,989 

3.406 

Estimated  total     

100.0% 

23,849 

3,482 

20,367 

14 

257 

809 

2,402 

6,573 

10,292 

3.502 

Rate  per  100,000  inhabitants 

4,513,1 

658,9 

3,854,1 

26 

48  6 

153,1 

454,5 

1,243.8 

1.947  6 

662,7 

Stamford,  Ct.  M.S.A 

196,445 

(Includes  part  of  Fairfield  County) 

City  of  Stamford 

101.787 

7,095 

588 

6.507 

4 

29 

307 

248 

1.508 

4,081 

918 

Total  area  actually  reporting 

100.0% 

10,016 

638 

9,378 

6 

31 

327 

274 

1,953 

6,276 

1.149 

Rate  per  100.000  inhabitants    

5,098,6 

324,8 

4,773,9 

3,1 

158 

166,5 

139,5 

994.2 

3,194,8 

584,9 

State  College,  Pa.  M.S.A 

115,051 

(Includes  Centre  County.) 

City  of  State  College 

44,705 

1,933 

27 

1.906 

1 

11 

5 

10 

185 

1,689 

32 

Total  area  actually  reporting 

100.0% 

4,378 

109 

4,269 

1 

26 

21 

61 

676 

3,497 

96 

Rate  per   100,000  inhabitants 

3,805,3 

947 

3,710,5 

9 

226 

18,3 

53,0 

587.6 

3,039,5 

83,4 

Steubenville-Weirton,  Oh.-W.V. 

M.S.A 

156,335 

(Includes  Jefferson  County.  Oh.,  and 

Brooke  and  Hancock  Counties.  W.V.) 

City  of: 

Steubenville 

24,412 

1,333 

120 

1,213 

2 

4 

51 

63 

464 

684 

65 

Weirton 

23,361 

306 

16 

290 

1 

10 

5 

98 

166 

26 

Total  area  actually  reporting 

100,0% 

2.710 

262 

2,448 

4 

19 

69 

170 

927 

1,337 

184 

Rate  per  100.000  inhabitants 

1,733,5 

167,6 

1,565,9 

2,6 

12.2 

44.1 

108,7 

593.0 

855.2 

117.7 

Stockton,  Ca.  M.S.A 

443,637 

(Includes  San  Joaquin  County.) 

City  of  Stockton 

1 88,067 

18,844 

1,821 

17,023 

33 

107 

806 

875 

4,689 

11.022 

1.312 

Total  area  actually  reporting 

100,0% 

34,368 

2,827 

31,541 

51 

173 

1,051 

1,552 

9,337 

19,900 

2,304 

Rate  per  100.000  inhabitants 

7,746,9 

637,2 

7,109.6 

11,5 

39,0 

236.9 

349,8 

2,104.6 

4,485,6 

519.3 

Syracuse,  N.Y.  M.S.A 

651,333 

(Includes  Madison.  Onondaga  and 

Oswego  Counties.) 

City  of  Syracuse 

161,228 

13,278 

1.158 

12,120 

14 

87 

494 

563 

4,721 

6,836 

563 

Total  area  actually  reporting 

100,0% 

28,206 

1.638 

26,568 

24 

169 

595 

850 

8.002 

17,501 

1,065 

Rate  per   100.000  inhabitants 

4.330.5 

2515 

4,079,0 

3,7 

259 

914 

130,5 

1,228,6 

2,687,0 

163.5 

See  footnotes  at  end  of  table. 


342 


,  APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1987  —  Continued 

s 


Metropolitan  Statistical  Area 


Population 


Cnme 
Index 

total 


Mtxiified 
Cnme 
Index 


Violent 
cnme" 


Property 
cnme' 


Murder 
and  non- 
negltgenl 

man- 
slaughter 


Forcible 
rape 


Robtwry 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Tacoma,  Wa.  M.S.A 

(Includes  Pierce  County.) 
City  of  Tacoma 
Total  area  actually  repoiltng    .  . 

Estimated  total 

Rale  per  100.000  inhabitants 

Tallahassee.  Fl.  M.S.A 

(Includes  Gadsden  and  Leon 
Counties.) 

Ctty  of  Tallahassee 

Total  area  actually  reporting 

Rate  per  100.000  inhabitants 

Tampa-St.  Petei^burg-Clearwater,  Fl, 

M.S.A 

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

Tampa 

Saint  Petersburg 

Clearwater  

Total  area  actually  reporting 

Rate  per  100,000  inhabitants 

Texarkana,  Tx.-Texarkana,  Ar. 

M.S.A 

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

Texarkana.  T\. 
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 

Estimated  total      

Rate  per  100,000  inhabitants 

Trenton,  N.J.  M.S.A 

(Includes  Mercer  County.) 

City  of  Trenton  

Total  area  actually  reporting 
Rate  per  100,000  inhabitants 

Tucson,  Az.  M.S.A 

(Includes  Pima  County.) 

City  of  Tucson  

Total  area  actually  reporting 

Rate  per  100.000  inhabitants 

Tulsa,  Ok.  M.S.A 

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

Total  area  actually  reporting    

Estimated  lotal    

Rate  per  100.000  inhabitants  

Tuscaloosa,  Al.  M.S.A 

(Includes  Tuscaloosa  County.) 
City  of  Tuscaloosa 
Total  area  actually  reporting 
Rate  per  100.000  inhabitants 

Tyler,  Tx.  M.S.A 

(Includes  Smith  County.) 
City  of  Tyler 

Total  area  actually  reporting 
Rale  per  100.000  inhabitants 

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

(Includes  Herkimer  and  Oneida 
Counties) 
City  of: 

Ulica 

Rome 

Total  area  actually  reporting 

Estimated  total 

Rate  per  100,000  inhabitants 

See  footnotes  at  end  of  table. 


542,760 

161.639 

98.3% 
100.0% 

224,500 


123,012 
100.0% 


1,971,274 


285,856 
246,548 
100,428 
100.0% 


120,590 


33.342 
22.395 
100.0% 

612,642 


344,963 
96.0% 
100.0% 

177,921 

119.331 
99.4% 
100.0% 

323,042 

91.783 
100.0% 

620,086 

374.546 
100.0% 

726,045 


369,961 
99.9% 
100.0% 

142,330 

74,389 
100.0% 

153,026 

75.924 
100.0% 

316,339 


69.647 
42.155 
99.0% 
100.0% 


23.674 
42.809 
43,781 
8.066.4 


14.261 
19.847 
8,840.5 


49,350 
26.500 
8.511 
166.553 
8,449.0 


3.756 

3.244 

8.930 

7,405.3 


29.356 
39.050 
40,065 
6.5397 


10,941 
12,049 
12.105 
6.803.6 


11,615 
22,809 
7.060.7 


42,316 
55.180 
8,898.8 


36.513 
48.549 
48.585 
6,691  7 


6.106 

8.895 

6,249.6 


9,947 
12,742 
8,3267 


2,669 
1,349 
8.441 
8.550 
2,702.8 


2,381 
3.816 
3.845 
708.4 


1,515 

2,289 

1,019.6 


8.899 

3.729 

830 

20.825 

1,056.4 


262 

267 

671 

556,4 


2,767 
3.189 
3.248 
530,2 


881 
943 
946 

531.7 


2.185 
2,536 
785.0 


3,523 
4,467 
720.4 


3.129 
3,926 
3.927 
540.9 


1.046 

1.704 

1,1972 


558 

724 

473.1 


176 

47 

451 

459 

145  I 


21,293 
38,993 
39,936 
7.357.9 


12.746 
17.558 
7,820.9 


40.451 
22,771 
7,b81 
145,728 
7,392.6 


3.494 

2.977 

8.259 

6.848,8 


26.589 
35.861 
36,817 
6.009.5 


10.060 
11.106 
11.159 
6,271,9 


9.430 
20.273 
6,275.7 


38.793 
50.713 
8,178.4 


33,384 
44,623 
44,658 
6.150  9 


5.060 

7.191 

5.052,3 


9.389 
12.018 
7,8536 


2.493 
1.302 
7.990: 
8,091 
2,557,7 


61 

28 

5 

149 

7.6 


6 
1 

11 
9.1 


33 
44 
45 

7.3 


4 

5 

5 

2.8 


23 
38 
61 


35 
58 
58 
8.0 


9 

15 

10.5 


9 

19 

12.4 


240 
482 
487 
89.7 


96 
166 

73.9 


297 
157 
52 
949 
48.1 


20 

21 

59 

48.9 


360 
417 
422 
68.9 


71 

76 

76 

42,7 


91 
119 
36,8 


281 
367 
59,2 


234 
311 
311 
42,8 


44 

51 

35.8 


60 

80 

52.3 


12 
2 
50 
50 
15.8 


1.096 
201,9 


429 

546 

243-2 


3,427 
1,567 
243 
7,080 
359,2 


72 

86 

177 

146,8 


1.299 
1.385 
1.402 
228.8 


261 

269 

270 

151.8 


1,061 
1.221 
378.0 


911 
1.065 
171.8 


1,074 
1,202 
1.202 
1656 


128 

173 

121.5 


149 

174 

113,7 


120 
22 
165 
168 
53.1 


1,336 
2.213 
2.229 
4107 


982 
1.555 
692.7 


5,114 

1,977 

530 

12,647 

641.6 


164 

159 

424 

351  6 


1,075 
1.343 
1.379 
225.1 


545 

593 

595 

334.4 


1.021 
1.178 
364.7 


2,308 
2,997 
483.3 


1.786 
2.355 
2.356 
324.5 


865 

1.465 

1,029.3 


340 

451 

294.7 


39 

21 

225 

230 

72.7 


6.561 
12.862 
13.243 
2,439.9 


3.608 

5.130 

2,285.1 


13.245 
7.526 
1.943 

44,775 
2.271.4 


1.076 

665 

2.373 

1.967.8 


6,964 

8,923 

9,104 

1.486.0 


2,866 

3.258 

3.268 

1.836.8 


2.842 

5.230 

1,619.0 


7.954 
11,038 
1,780.1 


9,504 
13.262 
13.272 
1.828-0 


1.398 

1.904 

1.337.7 


2.592 

3.590 

2.346.0 


1.045 
434 
2.658 
2.680 
847.2 


13,548 
23,981 
24,503 
4,514.5 


8,352 
11,415 
5,0846 


24,261 
14,124 
5.330 
92.070 
4.670.6 


2.271 

2.203 

5.505 

4.565.1 


16.736 
23.589 
24,286 
3.964.1 


6.795 

7,395 

7.435 

4.178.8 


4.532 
12,019 
3.720.6 


28.888 
37.130 
5.987.9 


18.322 
24.535 
24.557 
3,382.3 


3,326 

4,848 

3.406.2 


6.337 

7.778 

5,082.8 


1.273 

867 

5.070 

5.141 

1.625.2 


1,184 
2,150 
2,190 
403.5 


786 
1,013 
451.2 


2.945 
1.121 
408 
8.883 
450.6 


147 

109 

381 

315.9 


2.889 
3.349 
3.427 
559.4 


399 

453 

456 

2563 


2.056 
3.024 
936.1 


1.951 
2.545 
410.4 


5,558 
6.826 
6,829 
940.6 


336 

439 

308.4 


460 

650 

424.8 


175 
1 
262 
270 
85.4 


343 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1987  —  Continued 


Metropolilan  Statistical  Area 


Population 


Cnme 
Index 
total 


Modified 
Cnmc 
Index 
total' 


Violent 
cnme" 


Property 
crime' 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 

thefl 


Motor 
vehicle 
theft 


Vallejo-FairHeld-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 

Victoria,  Tx.  M.S.A 

(Includes  Victoria  County.) 

City  of  Victona  

Total  area  actually  reporting 

Rate  per  100,000  inhabitants 

Vlneland-MillvMle-Bridgeton.  N.J. 

M.S.A 

(Includes  Cumberland  County.) 
City  of: 

Vineland 

Millville  

Bridgeton  

Total  area  actually  reporting 

Estimated  total 

Rate  per  100.000  inhabitants 

Vlsalia-Tulare-Porterville,  Ca. 

M.S.A 

(Includes  Tulare  County.) 
City  of: 

Vjsalia 

Tulare 

Porterville 

Total  area  actually  reporting 

Rate  per  100.000  inhabitants 

Waco,  Tx.  M.S.A 

(Includes  McLennan  County.) 

City  of  Waco 

Total  area  actually  reporting 

Rate  per  100.000  inhabitants 

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

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

City  of  Washington 

Total  area  actually  reporting 

Rate  per  100.000  inhabitants 

Waterbury,  Ct.  M.S.A 

(Includes  part  of  Litchfield  and  New 
Haven  Counties,) 

City  of  Waterbury  

Total  area  actually  reporting 

Rate  per  100,000  inhabitants 

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

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

Waterloo  

Cedar  Falls 

Total  area  actually  reporting 

Rate  per  1(X}.0(X)  inhabitants 

Waiisau,  WL  M.S.A 

(Includes  Marathon  County.) 

City  of  Wausau 

Total  area  actually  reporting 

Rate  per  100,000  inhabitants 


402,217 


95,617 

10.448 

70,488 

5.391 

58,195 

4,011 

100.0% 

27,189 

6.759.8 

217,336 

44,673 

3.553 

100.0% 

11,584 

5,330.0 

76,487 

57,003 

4.784 

100.0% 

5.376 

7,028.6 

136,285 


54,007 
25,503 
18,747 
98.2% 
100.0% 


294,562 


63,106 
27,498 
25,089 
100.0% 

188,803 

105,895 
100.0% 

3,611,655 


622,000 
100.0% 

179,062 


103,015 
100.0% 

150,607 


69.597 
33.004 
100.0% 

132,660 

32,389 
100.0% 


4,280 
1.592 
1.401 
8.357 
8.462 
6.209.0 


5.093 

1.318 

3.323 

18,062 

6,131.8 


12.223 
16.571 
8,776.9 


52.519 
190.052 
5.262.5 


7,723 

9,455 

5.280.3 


4.240 

1,087 

6,457 

4.287.3 


2.020 

4,575 

3.448.7 


2.357 
461 
497 

4.186 
1.040.7 


286 

532 

244.8 


434 

479 

525.3 


396 
146 
203 
861 
859 
637.6 


437 

206 

154 

2.035 

590.9 


962 
1.116 
591.1 


10.016 

22.272 

515.7 


474 

591 

330.1 


309 

17 

455 

308.8 


86 

148 

111-6 


8.091 

4,930 

3.514 

23.003 

5,719.1 


3.357 
11.052 
5,085,2 


4.350 

4.897 

6,402,4 


3.884 
1.446 
1.198 
7.496 
7,593 
5,571.4 


4,656 

1,112 

3,159 

16,027 

5,441.0 


11,261 
15,455 
8.185.8 


42.503 
157.790 
4.545.8 


7,249 

8,864 

4,950.2 


3,931 

1,070 

5,992 

3,978.5 


1,934 

4,427 

3.337.1 


3 

6 

2.8 


1 
1 
3 
3 
2.2 


1 

4 

34 

11.5 


25 

29 

15.4 


225 
367 
10.2 


4.5 


48 

27 

19 

156 

38.8 


50 

97 

44.5 


19 

25 

32.7 


35 
24 
10 
87 
88 
64.6 


32 
15 

12 
101 
34.3 


67 

82 

43.4 


245 
1,073 
29.7 


37 

43 

24.0 


18 

1 

19 

126 


2 

9 

6.8 


430 

109 

32 

595 

172.8 


85 
171 
78.7 


57 

59 

77.1 


105 

42 

52 

212 

215 

157.8 


139 

51 

64 

403 

136.8 


254 

308 

153.1 


4,452 
9,210 
255,0 


245 

250 

145.2 


65 
4 

72 
47.8 


14 

18 

13.6 


1,864 

323 

446 

3.304 

821.4 


148 

258 

118.7 


355 

391 

511.2 


255 
79 
140 
559 
563 
413.1 


262 

139 

84 

1.497 

508.2 


505 

597 

369.2 


5.084 
11.622 
321.8 


185 

280 

156.4 


224 

12 

373 

247.7 


70 
114 
85.9 


2.437 
873 
855 

5.908 
1,458.9 


971 

3,506 

1,513.2 


1.255 

1.469 

1,920.5 


984 

481 

355 

2,216 

2,236 

1,640.7 


1,278 

581 

1,459 

5,588 

1,931.0 


3.546 

5,128 

2.716.1 


11.241 
36.790 
1.018.6 


1.908 

2.305 

1.287.3 


1.289 

233 

1.741 

1.156.0 


429 

938 

707.1 


4.798 
3.594 
2.475 
15.203 
3,779.8 


2,154 

6,807 

3.132.0 


2,935 

3,250 

4,249. 1 


2,597 

879 

782 

4,781 

4,843 

3,553.6 


3,059 

442 

1,512 

9,370 

3,181.0 


7,150 

9,563 

5.118.0 


24,955 
108.154 
2,994.9 


4,634 

5,736 

3.203.4 


2,555 

802 

4,107 

2,727.0 


1,451 

3,359 

2,532.0 


855 

363 

184 

1,892 

470.4 


242 

739 

340.0 


150 

178 

232.7 


303 

86 

51 

499 

514 

377.2 


319 

89 

18 

969 

329.0 


455 
654 

351.7 


6,297 

22,836 

632.3 


707 

823 

459.6 


87 

35 

144 

95.5 


44 
130 
98.0 


See  footnotes  at  end  of  table. 


344 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1987  —  Continued 


Melropolilan  Statistical  Area 


Population 


Cnme 
Index 
total 


Modified 
Cnme 
Indeii 
total' 


Violent 
cnme" 


Propeny 
cnme' 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robber> 


Aggra- 
vated 
assault 


Burg!ur> 


Larceny- 
then 


Motor 
vehicle 
theft 


West  Palm  Beach-Boca 

Raton-Delray  Beach,  Fl.  M.S.A 

(Includes  Palm  Beach  County.) 
City  of: 

West  Palm  Beach 

Boca  Raton 

Delray  Beach 

Total  area  actually  repoiiing 

Rate  per  100,000  inhabitants 

Wheeling,  W.V.-Oh.  M.S.A 

(Includes  Marshall  and  Ohio  Counties, 
W.V..  and  Belmont  Coumy.  Oh.) 

City  of  Wheeling 

Total  area  actually  reponing 

Estimated  total 

Rale  per  100,000  inhabitants 

Wichita,  Ks.  M.S.A 

(Includes  Butler  and  Sedgwick 
Counties.) 

City  of  Wichita 

Total  area  actually  reporting 

Estimated  total 

Rate  per  100,000  inhabitants 

Wichita  Falls,  Tx.  M.S.A 

(Includes  Wichita  County.) 

City  of  Wichita  Falls 

Total  area  actually  reporting 

Rate  per  100,000  inhabitants 

Wilmington,  N.C.  M.S.A 

(Includes  New  Hanover  County.) 

City  of  Wilmington 

Total  area  actually  reporting 

Estimated  total 

Rate  per  100,000  inhabitants 

Worcester,  Ma.  M.S.A 

(Includes  part  of  Worcester  County.) 

City  of  Worcester 

Total  area  actually  reporting 

Estimated  total 

Rate  per  100,000  inhabitants 

Yakima,  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 

Youngstown-Warren,  Oh.  M.S.A 

(Includes  Mahoning  and  Trumbull 
Counties.) 
City  of: 

Youngstown 

Warren 

Total  area  actually  reporting 

Estimated  total 

Rate  per  100,000  inhabitants 

Yuba  City,  Ca.  M.S.A 

(Includes  Sutter  and  Yuba  Counties.) 

City  of  Yuba  City 

Total  area  actually  reporting 

Rate  per  100,000  inhabitants 

San  Juan,  Puerto  Rico  M.S.A 

Total  area  actually  reporting 

Rate  per  1 00,000  inhabitants 

Caguas,  Puerto  Rico  M.S.A 

Total  area  actually  reporting 

Rale  per  100,000  inhabitants 


See  footnotes  at  end  of  table. 


778,129 

70,614 
60,255 
45,672 
100.0% 

178,098 

39,358 
94,8% 
100.0% 

443,282 


290,702 
99.3% 
100.0% 


127,915 

100,581 
100.0% 


115,567 

55,130 
99.1% 
100.0% 

412,899 

158,395 
93.2% 
100.0% 

186,300 

50,205 
99.0% 
100.0% 

399,366 

44,605 
99.0% 
100.0% 

519,605 


15,007 
3.326 
5.502 

76,491 
9,830.1 


1,031 

2,875 

3,260 

1,830.5 


24,843 
29,289 
29,432 
6,639.6 


8,983 

9,945 

7,774.7 


6,297 

9,484 

9,553 

8,266.2 


10.908 
15,031 
15,933 
3,858.8 


7,522 
15,456 
15,645 
8,397.7 


3,125 
10,822 
10,930 
2,736.8 


108,364 

7,091 

54,218 

3,168 

85.8% 

16,971 

100.0% 

20,043 

3,857.4 

117,086 

22,105 

2,794 

100.0% 

8,645 

7,383,5 

1,555,104 

100.0% 

68,596 

4,411.0 

275,753 

100.0% 

7,027 

2,548.3 

1,907 

199 

559 

7,979 

1.025.4 


1,566 
1,911 
1,919 
432.9 


654 

744 

581.6 


477 

694 

701 

606.6 


1,463 
1,765 
1.836 
444.7 


457 

866 

872 

468.1 


250 

540 

550 

137.7 


1,208 
489 
2,069 
2,246 
432.3 


501 

1,703 

1,454.5 


15,126 

972.7 


1.599 
579.9 


13,100 
3,127 
4,943 

68,512 
8,804.7 


120 

911 

194 

2,681 

216 

3,044 

121.3 

1,709.2 

23,277 
27,378 
27,513 
6,206,7 


8,329 

9,201 

7,193.1 


5,820 

8,790 

8,852 

7,659.6 


9,445 
13,266 
14,097 
3,414.2 


7,065 
14,590 
14,773 
7,929.7 


2,875 
10,282 
10,380 
2,599.1 


5,883 
2,679 
14,902 
17.797 
3,425.1 


2,293 

6,942 

5,929.0 

53,470 
3,438.4 

5,428 
1,968,4 


13 

15 

11.7 


7 

9 

9 

7.8 


3 

25 

25 

13.4 


20 
5 

27 
29 
5.6 


2 
11 
9.4 


325 
20.9 


28 
10.2 


63 

10 

28 

453 

58,2 


240 
279 
280 
63.2 


71 

77 

60.2 


28 

47 

47 

40.7 


83 
112 
117 
28.3 


31 

90 

91 

48.8 


22 

63 

64 

16.0 


51 
67 
127 
141 
27.1 


5 

39 
33.3 

262 
16.8 


39 
14.1 


1,015 

99 

217 

2,663 

342.2 


66 

84 

90 

50.5 


591 

627 

628 

141.7 


265 

272 
212.6 


202 

226 

227 

196.4 


515 

572 

588 

142.4 


178 

264 

266 

142.8 


143 
196 
198 
49.6 


351 
148 
567 
618 
118.9 


23 
86 

73.5 


11,053 
7108 


898 

325.7 


796 
87 

310 
4,771 
613.1 


48 

95 

109 

61.2 


711 

974 

980 

221.1 


305 

380 

297.1 


240 

412 

418 

361.7 


852 
1,068 
1.118 
270.8 


245 

487 

490 

263.0 


80 
268 
275 
68.9 


786 

269 

1,348 

1,458 

280.6 


471 

1,567 

1,338.3 

3,486 
224.2 


634 
229.9 


4,794 
969 

1,554 
22,025 
2,830.5 


378 

780 

849 

476.7 


5,601 

6.805 

6,831 

1,541,0 


2,533 

2,892 

2,260.9 


1,729 

2,598 

2,615 

2,262.8 


3,252 

4,460 

4,663 

1,129.3 


1,978 

4,675 

4,749 

2,549.1 


927 
2,587 
2,607 
652.8 


2,356 
1,133 
4,863 
5,412 
1,041.6 


415 

2,068 

1,766.2 

19,859 
1,277.0 

2,761 
1,001.3 


6,292 

1,922 

3,013 

39,448 

5,069.6 


439 

1,686 

1,950 

1,094.9 


16,326 
19,019 
19,121 
4.313.5 


5,325 

5,784 

4,521.8 


3,818 

5.757 

5,799 

5,017.9 


5,021 

7,231 

7,708 

1,866.8 


4,811 

9,282 

9,383 

5,036.5 


1,805 

7,235 

7,304 

1,828.9 


2,315 
1,277 
7,668 
9,777 
1.881.6 


1,713 

4,385 

3,745.1 

19,070 
1,226.3 

1,909 
692.3 


2,014 

236 

376 

7,039 

904.6 


94 

215 

245 

137.6 


1,350 
1,554 
1,561 
352.1 


471 

525 

410.4 


273 

435 

438 

379.0 


1,172 
1,575 
1,726 
418.0 


276 

633 

641 

3*4.1 


143 

460 

469 

117.4 


1,212 
269 
2,371 
2,608 
501.9 


165 

489 

417.6 


14,541 
935.1 


758 
274.9 


345 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1987  —  Continued 

Melropolitan  Statistical  Area 

Population 

Cnmc 
Index 
total 

Modified 
Cnmc 
Index 
total' 

Violent 
cnme" 

Properly 
cnme' 

Murder 
and  non- 
neghgent 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
theft 

Motor 
vehicle 
theft 

Arson' 

Mayaguez.  Puerto  Rico  M.S.A 

Total  area  actually  reporting 

Rate  per  100,000  inhabitants 

Ponce,  Puerto  Rico  M.S.A 

211,116 

100,0% 

233,975 

100,0% 

6,155 
2.915,5 

8.490 
3.628,6 

1,065 
504,5 

2.045 
874,0 

5.090 
2,411,0 

6,445 
2.754,6 

25 
118 

40 

17  I 

25 
11,8 

34 
14.5 

406 
192,3 

1.185 
506,5 

609 

288  5 

786 
335,9 

2,561 
1,213,1 

2,561 
1,094.6 

1,879 
890,0 

3.217 
1.374,9 

650 
307,9 

667 
285,1 

Total  area  actually  repoiling 
Rate  per  100,000  inhabitants 

'Although  arson  data  are  included  in  the  trend  and  clearance  tables.  sufTicient  data  are  not  available  to  estimate  totals  for  this  offense.  Arson  data  for  individual  cities  are 
shown  in  Table  6. 

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

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

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


346 


APPENDIX  V 
DIRECTORY  OF  UNIFORM  CRIME  REPORTING  PROGRAMS 


Alabama 


Alaska 


American  Samoa 


Arizona 


Arkansas 


California 


Colorado 


Connecticut 


Delaware 


District  of  Columbia 


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

Uniform  Crime  Reporting  Section 

Department  of  Public  Safety  Information  System 

5700  East  Tudor  Road 

Anchorage,  Alaska  99507 

(907)  269-5659 

Commissioner 

Department  of  Public  Safety 
Post  Office  Box  1086 
Pago  Pago,  Tutuila 
American  Samoa  96799 

Uniform  Crime  Reporting 

Arizona  Department  of  Public  Safety 

Post  Office  Box  6638 

Phoenix,  Arizona     85005 

(602)  262-8066 

Arkansas  Crime  Information  Center 
One  Capitol  Mall,  4D-200 
Little  Rock,  Arkansas     72201 
(501)  682-2222 

Bureau  of  Criminal  Statistics 
Department  of  Justice 
Post  Office  Box  903427 
Sacramento,  California     94203 
(916)  739-5173 

Uniform  Crime  Reporting 
Colorado  Bureau  of  Investigation 
690  Kipling  Street 
Denver,  Colorado     80215 
(303)  239-4300 

Uniform  Crime  Reporting  Program 
294  Colony  Street 
Meriden,  Connecticut     06450 
(203)  238-6594 

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

Data  Processing  Division 
Metropolitan  Police  Department 
300  Indiana  Avenue,  Northwest 
Washington,  D.C.  20001 
(202)  727-4301 


347 


APPENDIX  V  — DIRECTORY  OF  UNIFORM  CRIME  REPORTING  PROGRAMS  —  Continued 


Florida 


Georgia 


Guam 


Hawaii 


Idaho 


Illinois 


Iowa 


Kansas 


Kentucky 


Maine 


Uniform  Crime  Reports  Section 

Special  Services  Bureau 

Florida  Department  of  Law  Enforcement 

Post  Office  Box  1489 

Tallahassee,  Florida     32302 

(904)  487-1179 

Georgia  Crime  Information  Center 
Georgia  Bureau  of  Investigation 
Post  Office  Box  370748 
Decatur,  Georgia     30037 
(404)  244-2606 

Territory  of  Guam 

Guam  Police  Department 

Planning  and  Research  Division 

Pedro's  Plaza 

287  West  O'Brien  Drive 

Agana,  Guam  96910 

Hawaii  Criminal  Justice  Information  Data  Center 

Department  of  the  Attorney  General 

First  Floor 

Kekuanao'a  Building 

465  South  King  Street 

Honolulu,  Hawaii    96813 

(808)  548-2090 

Criminal  Identification  Bureau 
Department  of  Law  Enforcement 
6062  Corporal  Lane 
Boise,  Idaho     83704 
(208)  334-3889 

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)  281-6278 

Kansas  Bureau  of  Investigation 
1620  Southwest  Tyler  Street 
Topeka,  Kansas    66612 
(913)  232-6000 

Records  Section 
Kentucky  State  Police 
New  State  Office  Building 
Frankfort,  Kentucky    40601 
(502)  227-8717 

Uniform  Crime  Reporting  Division 

Maine  State  Police 

Station  42 

36  Hospital  Street 

Augusta,  Maine    04333 

(207)  289-2296 


348 


APPENDIX  V  —  DIRECTORY  OF  UNIFORM  CRIME  REPORTING  PROGRAMS  —  Continued 


Maryland 


Massachusetts 


Michigan 


Minnesota 


Montana 


Nebraska 


New  Hampshire 


New  Jersey 


New  York 


North  CaroHna 


Criminal  Records — Central  Repository 
Maryland  State  Police  Headquarters 
Pikesville,  Maryland     21208 
(301)  653-4462 

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)  322-1150 

Criminal  Justice  Information  Systems 
1246  University  Avenue 
St.  Paul,  Minnesota     55104 
(612)  642-0670 

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

Uniform  Crime  Reporting  Section 

The  Nebraska  Commission  on  Law  Enforcement  and 

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

Uniform  Crime  Reporting 
Record  and  License  Unit 
New  Hampshire  State  Police 
Hazen  Drive 

Concord,  New  Hampshire    03305 
(603)  271-2535 

Uniform  Crime  Reporting 

Division  of  State  Police 

Post  Office  Box  7068 

West  Trenton,  New  Jersey     08625 

(609)  882-2000 

Statistical  Services 

New  York  State  Division  of  Criminal  Justice  Services 

Executive  Park  Tower 

Stuyvesant  Plaza 

Albany,  New  York     12203 

(518)  457-8381 

State  Bureau  of  Investigation 
Division  of  Criminal  Information 
407  North  Blount  Street 
Raleigh,  North  Carolina     27601 
(919)  733-3171 


349 


APPENDIX  V  — DIRECTORY  OF  UNIFORM  CRIME  REPORTING  PROGRAMS  —  Continued 


North  Dakota 


Oklahoma 


Oregon 


Pennsylvania 


Puerto  Rico 


Rhode  Island 


South  Carolina 


Texas 


Utah 


Vermont 


Criminal  Justice  Training  and  Statistics  Division 
Attorney  General's  Office 
State  Capitol  Building 
Bismarck,  North  Dakota     58505 
(701)  224-2594 

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

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

Bureau  of  Research  and  Development 
Pennsylvania  State  Police 
1800  Elmerton  Avenue 
Harrisburg,  Pennsylvania  17120 

(717)  783-5536 

Superintendent 

Puerto  Rico  Police 

G.P.O.  Box  70166 

San  Juan,  Puerto  Rico  00936 

(809)  793-1234 

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)  737-9061 

Uniform  Crime  Reporting  Bureau 

Crime  Records  Division 

Texas  Department  of  Public  Safety 

Post  Office  Box  4143 

Austin,  Texas     78765 

(512)  465-2091 

Uniform  Crime  Reporting 

Utah  Department  of  Public  Safety 

4501   South  2700  West 

Salt  Lake  City,  Utah     84119 

(801)  965-4445 

Support  Services 

Vermont  Department  of  Public  Safety 

Post  Office  Box   189 

Waterbury,  Vermont     05676 

(802)  244-8786 


350 


APPENDIX  V  — DIRECTORY  OF  UNIFORM  CRIME  REPORTING  PROGRAMS  —  Continued 


Virginia 


Virgin  Islands 


Washington 


West  Virginia 


Wisconsin 


Wyoming 


U.S.    C.P.O.    1988- ZOZ-OiJlj  181050 


Records  and  Statistics  Division 
Department  of  State  Police 
Post  Office  Box  27472 
Richmond,  Virginia     23261 
(804)  674-2023 

Records  Bureau 

Department  of  Public  Safety 

Post  Office  Box  210 

Charlotte  Amalie 

St.  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)  459-6386 

Uniform  Crime  Reporting  Program 
725  Jefferson  Road 

South  Charleston,  West  Virginia     25309 
(304)  746-2159 

Wisconsin  Council  on  Criminal  Justice 

Suite  1000 

30  West  Mifflin  Street 

Madison,  Wisconsin     53702 

(608)  266-3323 

Uniform  Crime  Reporting 
Criminal  Justice  Information  Section 
Division  of  Criminal  Investigation 
316  West  22nd  Street 
Cheyenne,  Wyoming     82002 
(307)  777-7625 


351 


U.S.  Department  of  Justice 

Federal  Bureau  of  Investigation 
Uniform  Crime  Reporting  Section 


Husfiini;ii:ii  n  (.  :0535 


Official  BiiMness 


Penalty  for  Private  Use  S300 

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