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BOSTON 

PUBLIC 

LIBRARY 


Department  of  Justice 

al  Bureau  of  Investigation 


GOV  D0(J 


Filiform  Crime  Reports 


Release  Date 
Saturday 
July  25,  1987 


86 

86 
86 

86 
86 


OF  DOCUMENTS 


il  JUL  171987 


Crime 
in  the 
United 
States 


oooooooooooooooooooooooooooooooooooooooooooo 


OTHER  UNIFORM  CRIME  REPORTING  PUBLICATIONS: 

Bomb  Summary  (published  annually) 

Law  Enforcement  Officers  Killed  and  Assaulted  (published  annually) 


UNIFORM 
CRIME 

REPORTS 

for  the  United  States 


SUMMARY 


] 


CRIME  INDEX 


] 


PRINTED  ANNUALLY—  1986  by: 

Federal  Bureau  of  Investigation 

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


CRIMES  CLEARED 


] 


PERSONS  ARRESTED 


1 


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


] 


LAW  ENFORCEMENT  PERSONNEL 


APPENDICES 


1 


For  sale  by  Ihc  Superintendent  of  Documents,  U.S.  Government   Printing  Office,  Washingtc 


FOREWORD 

"Thus  at  the  start  we  are  compelled  to  recognize  that  crime  statistics  must 
originate  with  the  police  and  that  without  police  support  there  can  be  no 
crime  statistics." 
These  words  were  written  by  the  Committee  on  Uniform  Crime  Records, 
International  Association  of  Chiefs  of  Police,  in  their  1929  publication  entitled 
Uniform  Crime  Reporting.  From  that  book  came  the  beginning  of  the  Uniform 
Crime  Reporting  (UCR)  Program  as  we  know  it  today,  a  Program  that  has 
endured  solely  through  the  collective  efforts  and  diligence  of  our  Nation's  law 
enforcement    community.    Borne    of   law    enforcement    to    guide    everyday 
operations  and  management,  the  UCR  Program  for  over  57  years  has  supplied 
the  American  public  a  reliable  measure  of  lawlessness  in  our  society. 

The  FBI  was  mandated  by  Congress  in  1930  to  act  as  an  administrator  of 
UCR.  Central  to  the  FBI's  involvement  has  been  an  adherence  to  the  spirit  and 
intent  of  the  original  UCR  Committee  in  both  acknowledging  the  value  of  crime 
statistics  and  in  applying  the  concept  of  uniformity  of  reporting  to  reconcile 
differences  in  state  criminal  codes.  Throughout  the  years,  the  FBI  has  stressed  that 
UCR  is  a  program  founded  by  law  enforcement,  voluntarily  supported  by  law 
enforcement,  and  perhaps  more  importantly,  to  be  used  by  law  enforcement  in  our 
vital  mission. 

With  the  legacy  of  the  Uniform  Crime  Records  Committee,  the  FBI  in 
partnership  with  its  law  enforcement  colleagues  is  initiating  a  new  era  in  crime 
reporting.  After  several  years  of  review  and  study,  a  "Blueprint  for  the  Future  of 
the  Uniform  Crime  Reporting  Program"  has  been  developed.  The  enhanced 
system  as  designed  in  the  "Blueprint"  provides  for  the  reporting  of  all  data  relative 
to  each  criminal  incident  and  arrest  rather  than  summarizing  data,  as  is  the  rule 
under  the  present  Program.  Key  to  the  redesign  is  that  the  detail  being  sought  is 
already  in  the  records  of  law  enforcement.  Success  depends  not  on  an  expansion  of 
law  enforcement  records,  but  on  harnessing  the  wealth  of  information  already 
maintained. 

The  UCR  Program  in  the  State  of  South  Carolina  is  currently  at  work 
developing  a  prototype  for  an  enhanced  UCR  system  based  on  the  "Blueprint." 
As  participation  has  been  since  the  Program  began,  implementation  of  the 
redesigned  Program  will  be  voluntary.  Without  interruption  in  submissions 
under  the  present  system,  agencies  can  implement  the  enhanced  Program  at 
their  own  pace  in  accordance  with  fiscal  and  technical  capabilities. 

To  ensure  the  best  possible  use  of  the  data  produced  by  the  enhanced 
Program,  the  FBI  intends  an  even  closer  working  relationship  with  data 
contributors  than  in  the  past.  It  is  anticipated  that  this  new,  incident-based 
system  will  add  enormous  flexibility  to  UCR,  as  well  as  improve  statistical 
accuracy  and  usefulness.  The  enhanced  Program  should  provide  law 
enforcement  administrators  at  all  levels  of  government  the  data  they  require  to 
better  address  the  challenges  produced  by  an  ever-present  crime  problem. 


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.  Many  factors  affecting  the  volume  and  type  of  crime  occurring  from 
place  to  place  have  been  delineated.  Some  of  these  are  as  follows: 

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 

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

ection  H-Crime  Index  Offenses  Reported 6-153 

Jarrative  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 40-4 1 

!harts: 

Crime  clock,  1986 6 

Murder,  monthly  variation  from  annual  average 8 

Murder,  1982-1986 8 

Forcible  rape,  monthly  variation  from  annual  average  14 

Forcible  rape,  1982-1986 14 

Robbery,  monthly  variation  from  annual  average 17 

Robbery,  1982-1986 17 

Robbery  analysis,  1982-1986 19 

Aggravated  assault,  monthly  variation  from  annual  average 22 

Aggravated  assault,   1982-1986 22 

Burglary,  monthly  variation  from  annual  average 25 

Burglary,   1982-1986  25 

Burglary  analysis,   1982-1986 26 

Larceny-theft,  monthly  variation  from  annual  average 29 

Larceny-theft,  1982-1986 29 

Larceny  analysis,  1982-1986 30 

Larceny  analysis,  1986 31 

Motor  vehicle  theft,  monthly  variation  from  annual  average 34 

Motor  vehicle  theft,   1982-1986 34 

Crime  Index  total,   1982-1986 43 

ables: 

Murder: 

By  month,  percent  of  annual  total,  1982-1986 8 

Age,  sex,  race,  and  ethnic  origin  of  victims,  1986 9 

Victim/offender  relationship  by  race,  sex,  and  ethnic  origin,   1986  9 

Type  of  weapons  used,  1986 10 

Victims,  type  of  weapons  used,  1982-1986 10 

Victims  —  weapons  used,  1986 10 

Circumstances  by  relationship,  1986  11 

Circumstances  by  weapon,   1986 11 

Circumstances,  1982-1986 12 

Forcible  rape,  by  month,  percent  of  annual  total,   1982-1986 14 

Robbery: 

By  month,  percent  of  annual  total,   1982-1986 17 

Percent  distribution,  region,   1986 18 

Percent  distribution,  population  group,  1986 18 

Type  of  weapons  used,   1986 18 


Pag< 

Tables  —  continued 

Aggravated  assault: 

By  month,  percent  of  annual  total,   1982-1986 22 

Type  of  weapons  used,  1986 22 

Burglary,  by  month,  percent  of  annual  total,   1982-1986 2'. 

Larceny-theft: 

By  month,  percent  of  annual  total,   1982-1986 2< 

Analysis  by  region,   1986 32 

Motor  vehicle  theft: 

By  month,  percent  of  annual  total,  1982-1986 34 

Analysis  by  region,   1986 3f 

Arson,  1986: 

Rate,  population  group 3" 

Type  of  property  3" 

Structures  not  in  use  3 i 

Property  damage 3f 

Offenses  cleared  by  arrest 3S 

Offenses  cleared  by  arrest  of  persons  under  1 8  years  of  age 3< 

Index  of  crime: 

United  States,   1977-1986 41 

United  States,   1986  42 

Regional  offense  and  population  distribution,   1986  42 

Region,  geographic  division,  and  state,   1985-1986  44-51 

State,  1986 52-62 

Number  of  offenses  known  to  the  police,   1986: 

Cities  and  towns  10,000  and  over  in  population 63-1K 

Universities  and  colleges 111-11} 

Suburban  counties 1 19-132 

Rural  counties  25,000  and  over  in  population 133-14C 

Crime  trends,  offenses  known  to  the  police,  1985-1986: 

Population  group  141-14; 

Suburban  and  nonsuburban  cities,  population  group 14! 

Suburban  and  nonsuburban  counties,  population  group 14* 

Offense  breakdown,  population  group 145-14* 

Crime  rates,  offenses  known  to  the  police,   1986: 

Population  group  147-141 

Suburban  and  nonsuburban  cities,  population  group 14' 

Suburban  and  nonsuburban  counties,  population  group 1 5( 

Offense  breakdown,  population  group 151-15; 

Offense  analysis,   1986,  and  percent  change  from  1985 15! 

Type  and  value  of  property  stolen  and  recovered,   1986  15i 

Section  Ill-Crime  Index  Offenses  Cleared 154-16; 

Narrative  comments 15' 

Chart: 

Crimes  cleared  by  arrest,   1986 15! 

Tables: 

Percent  of  offenses  cleared  by  arrest,  region,   1986 15' 

Offenses  known  and  percent  cleared  by  arrest,  1986: 

Population  group  156-15" 

Geographic  division  1 5i 

Offense  breakdown,  population  group 159-16( 

Offenses  cleared  by  arrest  of  persons  under   18  years  of  age,   1986 161-162 


Page 

ection  IV- Persons  Arrested 163-240 

farrative  comments 1 63- 1 64 

ables: 

Arrests  for  drug  abuse  violations,   1986  163 

Total  estimated  arrests,  United  States,   1986 164 

Arrests,  number  and  rate,   1986: 

Region   1 65 

Population  group  166- 1 67 

Total  arrest  trends: 

1977-1986    168 

Sex,  1977-1986 169 

1982-1986    170 

Sex,   1982-1986 171 

1985-1986    172 

Sex,   1985-1986  173 

Total  arrests,  1986: 

Distribution  by  age 174-175 

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 

Distribution  by  ethnic  origin 185-187 

City  arrest  trends: 

1985-1986    188 

Sex,   1985-1986 189 

City  arrests,  1986: 

Distribution  by  age 190-191 

Of  persons  under  15,   18,  21,  and  25  years  of  age 192 

Distribution  by  sex 193 

Distribution  by  race 194- 1 96 

Distribution  by  ethnic  origin 197-199 

Suburban  county  arrest  trends: 

1985-1986    200 

Sex,   1985-1986 201 

Suburban  county  arrests,   1986: 

Distribution  by  age 202-203 

Of  persons  under  15,  18,  21,  and  25  years  of  age 204 

Distribution  by  sex 205 

Distribution  by  race 206-208 

Distribution  by  ethnic  origin 209-2 1 1 

Rural  county  arrest  trends: 

1985-1986    212 

Sex,  1985-1986 213 

Rural  county  arrests,   1986: 

Distribution  by  age 214-215 

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

Distribution  by  sex 217 

Distribution  by  race 21 8-220 

Distribution  by  ethnic  origin 221-223 

Suburban  area  arrest  trends: 

1985-1986    224 

Sex,  1985-1986 225 


Pag 
Tables  —  continued 

Suburban  area  arrests,  1986: 

Distribution  by  age 226-22' 

Of  persons  under  15,  18,  21,  and  25  years  of  age 221 

Distribution  by  sex 22( 

Distribution  by  race 230-23! 

Distribution  by  ethnic  origin 233-23: 

Arrests  by  state,  Crime  Index  offenses,  1986 236-23' 

Police  disposition  of  juvenile  offenders  taken  into  custody,   1986  24( 

Law  Enforcement  Code  of  Ethics  24 

Section  V-Law  Enforcement  Personnel 242-321 

Narrative  comments 242-24: 

Tables: 

Full-time  law  enforcement  employees,  October  31,  1986: 

Employees,  rate  per  1,000  inhabitants,  region 24: 

Officers,  rate  per  1,000  inhabitants,  region 24: 

Employees,  number  and  rate  per  1,000  inhabitants,  geographic  division  and  population  group 24< 

Officers,  number  and  rate  per  1,000  inhabitants,  geographic  division  and  population  group  24: 

Employees,  range  in  rate  per  1,000  inhabitants 24< 

Officers,  range  in  rate  per  1 ,000  inhabitants 24' 

Employees,  percent  male  and  female  24: 

Civilian  employees,  percent  of  total,  population  group 24: 

State  agencies 24' 

Cities    250-30 

Universities  and  colleges 309-3 1 

Suburban  counties 313-31 

Rural  counties 31 7-32 

Section  VI- Appendices 327-37 

Appendix  I-  Table  methodology 327-331 

Appendix  II- Offenses  in  Uniform  Crime  Reporting 331-33 

Appendix  III-  Uniform  Crime  Reporting  area  definitions 333-33 

Appendix  IV- Index  of  Crime,  Metropolitan  Statistical  Areas,  1986 335-36 

Appendix  V-  Directory  of  Uniform  Crime  Reporting  Programs 364-36 

Appendix  VI-  Criminal  involvement  of  murder  arrestees 369-37 


SECTION  I 

SUMMARY  OF  THE  UNIFORM  CRIME  REPORTING 

PROGRAM 


The  Uniform  Crime  Reporting  (UCR)  Program  provides 
i  nationwide  view  of  crime  based  on  the  cooperative  efforts 
)f  over  16,000  city,  county,  and  state  law  enforcement 
igencies  voluntarily  reporting  data  on  crimes  brought  to 
heir  attention.  Since  1930,  the  FBI  has  served  as  a  national 
;learinghouse  for  the  data  produced  by  the  Program,  and 
hroughout  the  years,  has  issued  periodic  assessments  of  the 
lature  and  type  of  crime  in  the  Nation.  The  Program's 
jrimary  objective  is  to  generate  a  reliable  set  of  criminal 
itatistics  for  use  in  law  enforcement  administration, 
)peration,  and  management.  Its  data  have  over  the  years, 
lowever,  become  one  of  the  leading  social  indicators  in  the 
:ountry.  The  American  public  looks  to  UCR  for 
nformation  on  fluctuations  in  the  level  of  crime,  while 
:riminologists,  sociologists,  legislators,  municipal  planners, 
he  press,  and  other  students  of  criminal  justice  use  the 
itatistics  for  varied  research  and  planning  purposes. 

Historical  Background 

Recognizing  a  need  for  national  crime  statistics,  the 
[nternational  Association  of  Chiefs  of  Police  (I  ACP)  formed 
he  Committee  on  Uniform  Crime  Records  in  the  1920s  to 
develop  a  system  of  uniform  police  statistics.  Since  offenses 
cnown  to  law  enforcement  were  the  most  readily  available 
:rime  information,  the  Committee  concluded  that  a  survey 
)f  local  agencies  to  obtain  data  on  crimes  brought  to  their 
ittention  was  the  appropriate  manner  by  which  to  collect 
:he  data.  Realizing  that  not  all  crimes  are  reported  to  the 
solice,  the  Committee  evaluated  various  offenses  on  the 
jasis  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 
;ompleted  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  jointly  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 


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. 

For  over  55  years,  the  Program  has  remained  virtually 
unchanged  in  terms  of  the  data  collected  and  disseminated. 
Evaluations  of  the  Program  were  suggested  on  occasion,  and 
one  study  was  conducted  in  1958.  By  the  1980s,  a  broad 
utility  had  evolved  for  UCR,  and  law  enforcement  called  for 
a  thorough  evaluative  study  that  would  improve  the  UCR 
Program  to  meet  the  expanded  capabilities  of  law 
enforcement  to  supply  crime-related  information.  The 
Bureau  of  Justice  Statistics  (BJS),  recognizing  its  role  in  the 
wide  spectrum  of  national  criminal  justice  statistics,  agreed 
to  underwrite  a  comprehensive  UCR  Program  study  and 
redesign  effort  comprised  of  three  phases.  To  be  conducted 
by  an  independent  contractor,  the  first  two  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  of  the  three  phases  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  alternative  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.  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  IACP/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  outlines  recommendations 
for  an  expanded,  improved  UCR  Program  to  meet 
informational  needs  into  the  next  century.  With  the  first  two 
phases  now  complete,  the  third  and  final  phase  will  consist 
of  implementing  the  adopted  improvements.  As 
implementation  progresses,  the  amount  of  information 
available  will  greatly  increase,  and  UCR  can  better  serve  its 
large  and  varied  audience. 

Advisory  Groups 

Providing  vital  links  between  local  law  enforcement  and 
the  FBI  in  the  conduct  of  the  UCR  Program  are  the  IACP 
and  the  NSA.  The  IACP'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 
fully  participate  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  need 
arises. 

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 
intermediaries  between  the  FBI  and  its  local  contributors. 
Many  of  the  41  state  Programs  have  mandatory  reporting 
requirements  and  collect  data  beyond  the  national  UCR 
scope  to  address  crime  problems  germane  to  their  particular 
locales.  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. 


teporting  Procedures 

Based  on  records  of  all  reports  of  crime  received  from 
ictims,  officers  who  discover  infractions,  or  other  sources, 
iw  enforcement  agencies  across  the  country  tabulate  the 
umber  of  Crime  Index  or  Part  I  offenses  brought  to  their 
ttention  during  each  month.  Specifically,  the  crimes 
sported  to  the  FBI  are  murder  and  nonnegligent 
lanslaughter,  forcible  rape,  robbery,  aggravated  assault, 
urglary,  larceny-theft,  motor  vehicle  theft,  and  arson. 

Whenever  complaints  of  crime  are  determined  through 
westigation  to  be  unfounded  or  false,  they  are  eliminated 
•om  an  agency's  count.  The  number  of  "actual  offenses 
nown"  is  reported  to  the  FBI  regardless  of  whether  anyone 
i  arrested  for  the  crime,  stolen  property  is  recovered,  or 
rosecution  is  undertaken. 

Another  integral  part  of  the  monthly  submission  is  the 
)tal  number  of  actual  Crime  Index  offenses  cleared.  Crimes 
re  "cleared"  in  one  of  two  ways:  (1)  at  least  one  person  is 
rrested,  charged,  and  turned  over  to  the  court  for 
rosecution;  or  (2)  by  exceptional  means  when  some 
lement  beyond  police  control  precludes  the  arrest  of  an 
ffender.  Law  enforcement  agencies  also  report  the  number 
f  Index  crime  clearances  which  involve  only  offenders 
nder  the  age  of  18;  the  value  of  property  stolen  and 
^covered  in  connection  with  the  offenses;  and  detailed 
lformation  pertaining  to  criminal  homicide  and  arson. 

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

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

Iditing  Procedures 

Each  report  submitted  to  the  UCR  Program  is 
loroughly  examined  for  arithmetical  accuracy  and  for 
eviations  which  may  indicate  errors.  To  identify  any 
nusual  fluctuations  in  an  agency's  crime  counts,  monthly 
sports  are  compared  with  previous  submissions  of  the 
gency  and  with  those  for  similar  agencies.  Large  variations 
l  crime  levels  may  indicate  modified  records  procedures, 
icomplete  reporting,  or  changes  in  the  jurisdiction's 
eopolitical  structure. 

Data  reliability  is  a  high  priority  of  the  Program  and 
oted  deviations  or  arithmetical  adjustments  are  brought  to 
tie  attention  of  the  state  UCR  Program  or  the  submitting 
gency  through  correspondence.  A  standard  procedure  of 
he  FBI  is  to  study  the  monthly  reports  and  to  evaluate 
ieriodic  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  to  address  Program  policy,  as  well  as  to  present 
information    and    instructional    material.    These 
communications  are  produced  as  needed. 

The  final  responsibility  for  data  submissions  rests  with  the 
individual  contributing  law  enforcement  agency.  Although 
the  Program  makes  every  effort  through  its  editing 
procedures,  training  practices,  and  correspondence  to  assure 
the  validity  of  the  data  it  receives,  the  statistics'  accuracy 
depends  primarily  on  the  adherence  of  each  contributor  to 
the  established  standards  of  reporting.  Deviations  from 
these  established  standards  which  cannot  be  resolved  by  the 
national  UCR  Program  may  be  brought  to  the  attention  of 
the  Committee  on  Uniform  Crime  Records  of  the  IACP  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.  The  county 
containing  the  central  city,  as  well  as  contiguous  counties 
which  meet  specified  criteria  of  metropolitan  character  and 


integration  (designated  suburban  counties  in  UCR)  is  also 
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  1986,  law  enforcement  agencies  active  in  the  UCR 
Program  represented  approximately  233  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,  94  percent  of  the  population  in  "other 
cities,"  and  89  percent  of  the  rural  population. 

Although  most  law  enforcement  agencies  submit  crime 
reports  to  the  UCR  Program,  data  are  sometimes  not 
received  for  complete  annual  periods.  To  be  included  in  this 
publication's  Tables  6,  7,  8,  and  9,  showing  specific 
jurisdictional  statistics,  figures  for  all  12  months  of  the 
current  year  must  have  been  received  at  the  FBI  prior  to 
established  publication  deadlines.  Other  tabular 
presentations  are  aggregated  as  set  forth  in  Appendix  I. 
Unless  consisting  of  estimates  for  the  total  population,  each 
table  in  this  publication  shows  the  number  of  agencies 
reporting  and  the  extent  of  population  coverage. 

Population  Data 

Current  year  population  figures  for  the  Nation,  states, 
geographic  regions,  and  divisions  are  Bureau  of  the  Census 
provisional  estimates  as  of  July  1,  1986.  Using  these  figures 
along  with  the  1984  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 
1986  was  approximately  1  percent  over  the  1985  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  and  1986  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.  Since  the 
data  supplied  were  not  comparable  with  those  provided  for 
other  agencies  across  the  country,  the  1985  and  1986 
forcible  rape  figures  for  most  Illinois  cities  and  counties 
have  been  replaced  with  estimates  using  the  national  rates 
and  ratios  of  forcible  rapes  versus  the  total  crimes  of 
violence.  Forcible  rape  totals  for  affected  agencies  are  not 
shown  in  Tables  6,  7,  8,  and  9  which  present  individual  city, 
county,  and  university/college  data. 
Crime  Trends 

Showing  fluctuations  from  year  to  year,  trend  statistics 
offer  the  data  user  an  added  perspective  from  which  to  study 
crime.  Percent  change  tabulations  in  this  publication  are 
computed  only  for  reporting  units  which  have  provided 
comparable  data  for  the  periods  under  consideration. 
Exclusions  from  trend  computations  are  made  when  figures 
from  a  reporting  agency  are  not  received  for  comparable 
time  frames  or  when  it  is  ascertained  that  unusual 
fluctuations  are  due  to  such  variables  as  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— Guidelines  and  procedures  for 
the  implementation  of  the  "Blueprint  for  the  Future  of  the 
Uniform  Crime  Reporting  Program"  are  currently  being 
tested  by  the  state-level  UCR  Program  operated  by  the 
South  Carolina  Law  Enforcement  Division.  It  is  expected 
that  testing  will  be  completed  by  October  of  1987.  The 
remainder  of  the  year  will  be  spent  refining  the 
implementation  guidelines,  not  only  through  internal  study 
at  the  FBI,  but  in  response  to  input  from  the  Uniform 
Crime  Records  Committee  of  the  International  Association 
of  Chiefs  of  Police  (IACP),  the  UCR  Committee  of  the 
National  Sheriffs'  Association  (NSA),  the  state  UCR 
Programs,  and  individual  law  enforcement  agencies.  The 
guidelines  for  the  enhanced  UCR  Program  should  be  ready 
for  nationwide  distribution  in  early  1988. 

As  structured  at  this  time,  the  enhanced  program  will 
collect  data  on  each  single  incident  and  arrest  within 
approximately    25    crime    categories,    as    opposed    to    the 


urrent  monthly  summary  reporting  of  eight  offenses, 
icluded  in  the  submissions  will  be  victim  and  offender 
haracteristics,  use  of  force,  type  of  location,  etc.  A  wealth 
f  criminal  justice  information  never  before  available  will  be 
roduced,  while  the  integrity  of  UCR's  long-running 
:atistical  series  will  be  maintained. 

SPECIAL  ARSON  PROGRAM— In  1982,  the  FBI  was 
Dngressionally  mandated  to  develop,  prepare,  and  publish, 
i  cooperation  with  the  National  Fire  Data  Center,  a  special 
atistical  report  regarding  the  crime  of  arson.  In  January, 
987,  in  order  to  fulfill  this  mandate,  a  Special  Arson 
.eporting  System  was  initiated  to  augment  UCR's 
Dllection  on  arson  as  a  Crime  Index  offense.  This  system 
as  designed  to  collect,  on  an  incident-by-incident  basis, 
tore  extensive  data  concerning  the  offense  of  arson,  as  well 
>  valuable  information  on  the  arsonist. 

The  system  is  geared  mainly  toward  fire  fighting  agencies, 
ut  in  situations  where  those  agencies  lack  investigative 
owers,  the  reporting  responsibility  is  referred  to  the 
ppropriate  police  department  or  sheriffs  office.  The 
Election  instrument  employed  by  this  reporting  system  is 
le  Arson  Incident  Report  form.  Throughout  its  design 
rocess,  the  foremost  concern  was  to  capture  information 
ansistent  with  data  users'  informational  needs.  Officials  of 
le  fire  services  and  law  enforcement  communities, 
:presentatives  of  the  U.S.  Fire  Administration,  and  FBI 
ersonnel  familiar  with  precollection  research  and  data 
Dllection  concepts  were  involved  in  the  design  process  and 
ave  expressed  their  approval  of  the  end  product. 


Reporting  supplies  have  been  forwarded  to  the  State  Fire 
Marshals  or  directly  to  each  individual  fire  fighting  agency 
according  to  the  wishes  of  the  appropriate  State  Fire 
Marshal.  Data  submission  is  underway  and  preliminary 
indications  of  participation  are  favorable. 

LAW  ENFORCEMENT  OFFICERS  KILLED  AND 
ASSAULTED — In  connection  with  its  Law  Enforcement 
Officers  Killed  and  Assaulted  Program,  the  national  UCR 
staff  has  begun  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  interviews  are  being  conducted.  When  complete,  the 
project's  data  should  lend  new  insight  to  officer  survival 
training  programs. 

ETHNIC  ORIGIN— The  Office  of  Management  and 
Budget  (OMB)  no  longer  authorizes  the  FBI  to  collect 
ethnic  origin  data  regarding  persons  arrested.  OMB  noted 
that  Circular  A-46  previously  citing  the  need  for  these  data 
had  expired.  The  Uniform  Crime  Reporting  Program  has 
discontinued  its  collection  of  ethnic  origin  data  for  persons 
arrested  beginning  with  the  1987  reporting  year  and  is 
presenting  its  final  national  figures  in  this  edition  of  "Crime 
in  the  United  States." 


CRIME  CLOCK 
1986 


one 
VIOLENT  CRIME 
every  21  seconds 


< 


one 

CRIME  INDEX  OFFENSE    <^ 
every  2  seconds 


VJIIC  J 

PROPERTY  CRIME  <[ 
every  3  seconds 


one 

MURDER 

every  25  minutes 

one 
FORCIBLE  RAPE 
every  6  minutes 


one 

ROBBERY 

every  58  seconds 


one 

AGGRAVATED  ASSAULT 

every  38  seconds 


one 

BURGLARY 

every  10  seconds 


one 
LARCENY-THEFT 
every  4  seconds 


one 

MOTOR  VEHICLE  THEFT 

every  26  seconds 


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


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. 


TRFMn 

Rate  per  100.000 

Year 

Number  of  offenses 

inhabitants 

1985                    

18,976 

7.9 

1986                      

20,613 

8.6 

Percent  change 

+  8.6 

+  8.9 

Volume 

There  were  an  estimated  20,613  murders  in  the  United 
States  during  1986,  representing  1  percent  of  the  violent 
crimes  committed.  More  of  these  offenses  occurred  during 
July  and  August,  while  the  lowest  number  of  incidents  was 
recorded  in  February. 


- 

MURDBR  BY  MONTH 

WHl  From  Ar,mM  *»«.,. 

/" 

z 

/ 

' 

■*> — y 

AN.        FEB.      M«n.         APH.         MAT 

JUNE        JUL 

>UQ 

SEPT 

OCT.     NOV.       DEC. 

The  accompanying  chart  reveals  a  2-percent  decrease 
nationally  in  the  murder  counts  from  1982  to  1986.  The  10- 
year  trend,  however,  showed  the  1986  total  8  percent  above 
the  1977  level. 


MURDER 

NUMBER  OF  OFFENSES  KNOWN  DOWN  2% 

RATE  PER  100,000  INHABITANTS  DOWN  5% 

— "ZZZ- 

Murder  by  Month,  1982-198 

[Percent  of  annual  total] 

S 

Months 

1982 

1983 

1984 

1985 

1986 

January 

8.3 
7.5 
8.1 
7.9 
8.8 
8.4 
8.8 
8.8 

8.2 
7.5 
9.0 

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

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

8.1 
7.9 
8.1 
7.6 
7.6 
8.2 
9.3 
9.1 
8.1 
8.4 
8.2 

7.0 

8.3 

September 

October 

9.1 
8.3 

When  viewing  the  four  regions  of  the  Nation,  the 
Southern  States,  the  most  populous,  accounted  for  42 
percent  of  the  murders.  The  Western  States  reported  22 
percent;  the  Midwestern  States,  19  percent;  and  the 
Northeastern  States,  17  percent. 
Trend 

The  number  of  murders  in  the  United  States  increased  by 
9  percent  in  1986  as  compared  to  the  1985  total.  The 
Nation's  cities  overall  experienced  an  increase  of  1 2  percent, 
with  upward  trends  recorded  in  all  city  groups.  The 
increases  ranged  from  19  percent  in  cities  with  populations 
from  250,000  to  499,999  to  5  percent  in  those  under  10,000 
inhabitants.  Suburban  counties  recorded  a  2-percent  rise, 
while  the  rural  counties  (the  only  area  to  show  a  decrease) 
registered  a  4-percent  decline. 

Geographically,  all  regions  recorded  increases  in  the 
number  of  murder  incidents  for  the  2-year  period.  The 
Northeast  and  West  each  showed  upswings  of  11  percent, 
and  the  South  and  Midwest  both  registered  rises  of  7 
percent. 


Rate 

An  average  of  9  of  every  100,000  United  States 
inhabitants  were  murder  victims  during  1986.  On  a  regional 
basis,  the  Southern  States  averaged  11  murders  per  100,000 
people;  the  Western  States,  9  per  100,000;  and  both  the 
Northeastern  and  Midwestern  States,  7  per  100,000.  Rate 
increases  were  seen  in  all  regions,  1985  versus  1986.  The 
murder  rate  in  the  Northeast  was  up  1 1  percent  and  in  the 
West,  8  percent.  The  Midwest  and  the  South  each  recorded 
increases  of  6  percent. 

The  Nation's  metropolitan  areas  reported  a  murder  rate 
of  10  victims  per  100,000  inhabitants.  The  rural  counties,  as 
well  as  cities  outside  suburban  areas,  registered  a  lower  rate 
of  5  per  100,000.  Compared  to  the  previous  year's  rate,  the 
1986  National  Murder  rate  increased  9  percent. 

Nature 

Supplemental  data  provided  by  contributing  agencies 
recorded  information  for  19,257  of  the  estimated  20,613 
murders  in  1986.  Submitted  monthly,  the  data  consist  of  the 
age,  sex,  race,  and  ethnic  origin  of  both  victims  and 
offenders;  the  types  of  weapons  used;  the  relationships  of 
victims  to  the  offenders;  and  the  circumstances  surrounding 
the  murders. 

Based  on  this  information,  75  percent  of  the  murder 
victims  in  1986  were  males;  and  91  percent  were  persons  18 
years  of  age  or  older.  Forty-nine  percent  were  aged  20 
through  34  years.  Considering  victims  for  whom  race  was 
known,  an  average  of  53  of  every  100  were  white,  44  were 
black,  and  the  remainder  were  persons  of  other  races. 
Eighteen  percent  of  the  victims  for  whom  ethnicity  was 
reported  were  Hispanic. 


ge,  Sex,  Race,  and  Ethnic  Origin  of  Murder  Victims,  1986 


Total 

Sex 

Race 

Ethnic  Origin 

Age 

Male 

Female 

Unknown 

White 

Black 

Other 

Unknown 

H,span,c 

Non- 
Hispanic 

Unknown 

Dial 

19,257 
100.0 

14.455 
75.1 

4.774 
24.8 

28 
.1 

10,199 
53.0 

8.509 
44.2 

452 
2.3 

97 
.5 

2,841 
14.8 

12.868 
66.8 

rcent  distribution 

18.4 

nder  18' 
and  over1 

1.599 
17.204 

13.115 

599 
4,087 

1 
2 

830 
9,109 

721 
7.655 

41 
404 

7 
36 

208 

2,542 

1.097 
11.571 

294 
3,091 

fant  {under   1)    

to  9 

262 

382 

124 

199 

1.517 

3,166 

3.376 

2,647 

1,980 

1.335 

911 

714 

582 

458 

386 

290 

474 

454 

140 
220 

107 

1.154 

2,458 

2,622 

2,091 

1,521 

1,030 

711 

548 

457 

328 

258 

175 

233 

341 

121 
162 
63 
92 
363 
707 
754 
556 
459 
304 
200 
166 
125 
130 
128 
115 
241 

1 

1 

1 

148 

187 

58 

129 

744 

1,551 

1,575 

1,348 

1,042 

781 

537 

399 

371 

298 

224 

208 

339 

260 

106 
181 
57 
67 
742 
1,527 
1,718 
1,230 
879 
519 
346 
292 
197 
153 
155 
79 
128 
133 

3 
13 

3 
26 
84 
75 
62 
58 
30 
26 
21 
13 

7 

2 
7 
7 

5 

1 

5 
4 
8 
7 

5 
2 
2 

54 

28 
34 
12 
27 
282 
566 
542 
441 
306 
203 
116 
66 
53 
33 
15 
13 
13 

193 

273 

85 

135 

970 

2,042 

2,251 

1.758 

1,330 

887 

637 

499 

412 

341 

280 

216 

359 

200 

41 

75 
27 

to  24 
to  29 
to  34 

558 
583 
448 

to  49 

158 

nknown 

25 

102 
163 

'Does  not  include  unknown  ages 


Data  based  on  incidents  involving  one  victim  and  one 
fTender  showed  that  in  1986,  95  percent  of  the  black 
nirder  victims  were  slain  by  black  offenders,  and  88 
srcent  of  the  white  murder  victims  were  killed  by  white 
ffenders. 


Likewise,  males  were  most  often  slain  by  males  (83 
percent  in  single  victim/single  offender  situations).  These 
same  data  showed,  however,  that  9  of  every  10  female 
victims  were  murdered  by  males. 


ictim/Offender  Relationship  by  Race,  Sex,  and  Ethnic  Origin,  1986 

ingle  victim/single  offender] 


Total 
victims/ 
offenders 

Offender 

Victim 

Race 

Sex 

Ethnic  Origin 

White 

Black 

Other 

Unknown 

Male 

Female 

Unknown 

Hispanic 

Non- 
Hispanic 

Unknown 

Race 

5,816 

5,398 

233 

27 

5,109 
261 
60 
10 

618 
5,111 

17 
5 

65 

16 

153 

1 

24 
10 
3 

5,157 

4,391 

207 

14 

635 

997 

23 

2 

24 
10 
3 
11 

1,412 

131 

22 

3 

3,559 

4,083 

190 

7 

Sex 

8.478 

2,969 

27 

3,831 

1,599 

10 

4,465 

1,281 

5 

152 
82 

30 
7 
11 

7,064 

2,691 

14 

1,384 

271 

2 

30 
7 
11 

1,253 

312 

3 

5,719 

2,113 

7 

nknown    

544 
17 

Ethnic  Origin 

1,509 
7,945 
2,020 

1,333 

3,339 

768 

159 
4,375 
1,217 

14 
207 
14 

3 
24 

21 

1,405 
6,695 
1,669 

101 
1,226 
330 

3 
24 
21 

1,241 
310 
17 

249 

7,551 
39 

pah 

11,474 

5,440 

5,751 

235 

48 

9,769 

1,657 

48 

1,568 

7,839 

2,067 

As  in  previous  years  firearms  were  the  weapons  used  in  3 
of  every  5  murders  committed  in  the  United  States.  Of  all 
murders,  44  percent  were  by  handguns;  7  percent  by 
shotguns;  and  4  percent  by  rifles.  Other  or  unknown  types 
of  firearms  accounted  for  another  4  percent  of  the  total 
murders. 

Among  the  remaining  weapons,  cutting  or  stabbing 
instruments  were  employed  in  21  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,  1986 

[Percent  distribution  by  region] 


Region 

Total 

all 

weapons' 

Firearms 

Cutting 

stabbing 

Unknown 

danger- 
ous wea- 
pons 

Personal 
weapons 

Total      

100.0 

59.1 

20.5 

13.5 

6.8 

Northeastern  States  

Midwestern  States 
Southern  States 
Western  States    

100.0 
100.0 
100.0 
100.0 

49.4 
60.4 
64.3 
54.8 

26.2 
19.3 
18.4 
21.7 

12.4 
14.6 
12.5 
15.4 

12.0 
5.7 
4.8 
8.0 

Murder  Victims,  Type  of 

Weapons 

Used,  1982-1986 

Weapon 

1982 

1983 

1984 

1985 

1986 

Total 

19,485 

18.673 

16.689 

17,545 

19,257 

Total  Firearms 

11.721 

10,895 

9,819 

10.296 

11.381 

Handguns                         

8,474 

8,193 

7,277 

7,548 

8,460 

Rifles 

1.017 

831 

763 

810 

788 

Shotguns    

1.377 

1,243 

1,154 

1,188 

1,296 

Other  guns 

38 

19 

18 

24 

22 

Firearms-not  stated 

815 

609 

607 

726 

815 

Cutting  or  stabbing 

instruments 

4.065 

4,075 

3.540 

3.694 

3,957 

Blunt  objects  (clubs. 

hammers,  etc.) 

957 

1,062 

973 

972 

1,099 

Personal  weapons  (hands. 

fists,  feet,  etc.)' 

1.298 

1,280 

1.090 

1,180 

1.310 

Poison   

19 

20 

6 

7 

14 

Explosives 

12 

5 

8 

11 

16 

Fire     

279 

216 

192 

243 

230 

Narcotics 

16 

17 

19 

31 

23 

Drowning 

52 

40 

44 

43 

49 

Strangulation 

359 

376 

317 

311 

341 

\xph\  \ialion 

108 

123 

111 

1 15 

160 

Other  weapons  or  weapons 

not  stated    

599 

564 

570 

642 

677 

Pushed  is  included  in  personal  weapons. 


'Because  of  rounding,  percentages 

Murder  Victims  —  Weapons  Used,  1986 


Add      1.1      lot.lK 


Weapons 

Personal 

Age 

Total 

Fire- 

stabbing 
instruments 

jects  (club, 

hammer, 

etc.) 

weapons 
(hands, 
fists,  feet, 

Poison 

Explosives 

Fire 

Narcotics 

Strangu- 
lation 

Asphyxia- 

weapons  o 
weapons 
not  statec 

Total    

19,257 

11,381 

3.957 

1.099 

1.310 

14 

16 

230 

23 

341 

160 

7 

Percent 

100.0 

59.1 

20.5 

5.7 

6.8 

.1 

.1 

1.2 

.1 

1.8 

.8 

Under  18' 

1,599 

602 

220 

90 

387 

, 

•, 

60 

30 

61 

| 

18  and  over1 

17,204 

10,564 

3.666 

992 

880 

12 

13 

157 

23 

303 

97 

4 

Infant  (under   I)    

262 

9 

12 

16 

125 

1 

1 

8 

3 

31 

27 

10  to  14 

199 

101 

32 

15 

15 

1 

7 

6 

15  to  19        

1,517 

1,009 

311 

60 

57 

2 

2 

8 

1 

24 

9 

20  to  24 

3,166 

2,099 

679 

108 

104 

1 

16 

7 

55 

10 

25  to  29 

3,376 

2,229 

710 

140 

116 

2 

1 

20 

4 

50 

14 

30  to  34 

2,647 

1,705 

547 

126 

119 

1 

3 

13 

3 

45 

12 

35  to  39 

1,980 

1,251 

434 

101 

90 

3 

19 

32 

8 

40  to  44      

1,335 

828 

258 

76 

91 

1 

2 

12 

2 

14 

5 

45  to  49    

911 

549 

199 

51 

51 

1 

1 

16 

16 

1 

50  to  54 

714 

407 

152 

59 

49 

1 

1 

8 

1 

12 

8 

55  to  59 

582 

300 

137 

56 

43 

1 

12 

16 

2 

60  to  64      

458 

202 

120 

48 

44 

11 

6 

5 

65  to  69 

386 

160 

95 

55 

42 

4 

1 

12 

3 

70  to  74     

290 

104 

66 

46 

28 

2 

10 

9 

11 

75  and  over 

474 

122 

97 

94 

74 

14 

4 

22 

12 

Unknown 

454 

215 

71 

17 

43 

1 

1 

13 

8 

2 

include  unkn 


Supporting  the  philosophy  that  murder  is  primarily  a 
>cietal  problem  over  which  law  enforcement  has  little  or  no 
jntrol  is  the  fact  that  nearly  3  of  every  5  murder  victims  in 
)86  were  related  to  (16  percent)  or  acquainted  with  (42 
:rcent)  their  assailants.  Among  all  female  murder  victims 
.  1986,  30  percent  were  slain  by  husbands  or  boyfriends. 
x  percent  of  the  male  victims  were  killed  by  wives  or 
rlfriends. 


Arguments  resulted  in  38  percent  of  the  murders  during 
the  year.  Nineteen  percent  occurred  as  a  result  of  felonious 
activities  such  as  robbery,  arson,  etc.,  while  another  2 
percent  were  suspected  to  have  been  the  result  of  some 
felonious  activity.  Four  percent  of  the  murders  were 
committed  during  brawls  while  offenders  were  under  the 
influence  of  alcohol  or  narcotics.  The  table  on  the  following 
page  shows  murder  circumstances  for  the  past  5  years. 


■  Circumstances  by  Relationship,  1986 

distribution) 


Victim 

Total 

Felony 
type 

Suspected 
felony  type 

Romantic 

Argument 
over  money 
or  property 

Other 
arguments 

Miscellaneous 
type 

Unable  to 
determine 

•ri- 

100.0 

100.0 

100.0 

100.0 

100.0 

100.0 

100.0 

100.0 

band 

2.7 
4.8 
.6 
.7 
1.1 
1.7 
1.0 
.2 
2.9 
30.8 
5.2 
1.5 
2.6 
1.4 
13.0 
29.8 

.2 

.2 

.5 

1.0 

.2 

.1 

1.4 

25.7 

3.8 

.2 

.5 

1.4 

32.2 

32.1 

3.5 
6.2 

.2 

1.5 
.2 
.9 
3.0 
.2 
4.5 
52.2 
19.1 
1.3 

2.6 
8.1 
3.6 

4.9 
7.3 

1.1 

1.0 
2.2 

5.1 
40.4 
8.6 
3.4 
5.2 
2.3 
8.8 
8.3 

4.6 
9.5 
1.0 
1.0 
4.0 
5.6 
.9 

3.6 
38.8 
4.1 
1.1 
2.2 
.9 
11.7 
10.9 

.5 
.3 

.3 

1.6 

ther 

.3 

tighter 

.5 
.2 
.2 
.7 
62.7 
7.5 
2.0 
5.7 
1.5 
7.0 
2.2 

other 

.3 
6.9 
.5 

.8 

11  4 

yfnend       

1.2 

.5 

ighbor    

8.4 
82.3 

5.1 

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


urder  Circumstances  by  Weapons,  1986 


Weapons 

Total 

Felony  type 

Suspected 
felony  type 

Romantic 
triangle 

Argument 
over  money 
or  property 

Other 
arguments 

Miscellaneous 

non-felony 

type 

Unable  to 
determine 

19,257 

3,730 

379 

414 

471 

6,338 

3.586 

4,339 

earms 

11,381 

3,957 

1,099 

1,310 
14 
16 
230 
23 
49 
341 
160 

677 

2,039 

669 

288 

274 
4 
9 
173 
10 
5 
99 
66 

94 

182 

77 
42 
28 

282 
97 
23 
8 

318 
109 
25 

13 

3,960 
1.649 
283 
304 

2.102 
599 
179 

447 

4 
10 
11 
21 
46 
49 

112 

2,498 

757 

rsonal  weapons 
"hands,  fists,  feet,  etc.)' 

236 

plosives 

6 

1 

11 
1 

5 
48 
13 

64 

ircotics 

owning  

'angulation   

phyxialion 

ler  weapons 

jr  weapons  not  stated 

25 
2 

16 

2 

3 

1 

2 

118 

• 

388 

Pushed  is  included  m  personal  weapons. 


Murder  Circumstances,  1982-1986 

[Percent  distribution] 


1982 

1983 

1984 

1985 

1986 

18,673 

17.545 

19,257 

Percent1 

100.0 

100.0 

100.0 

100.0 

100.0 

Felony  total:         

17.7 

18.0 

18.0 

17.9 

19.4 

Robbery    

10.7 

10.6 

9.3 

9.2 

9.5 

Narcotics  

1.8 

2.0 

2.7 

2.9 

3.9 

Sex  ofTenses  

1.4 

1.6 

1.6 

1.5 

1.5 

Arson 

1.0 

.8 

1.0 

1.2 

1.0 

Other  felony 

2.7 

3.1 

3.5 

3.1 

3.4 

Suspected  felony    

5.2 

3.2 

2.8 

2.0 

2.0 

Argument  total:     

36.9 

39.6 

39.5 

39.3 

37.5 

Romantic  triangle 

2.4 

2.6 

2.4 

2.3 

2.1 

Property  or  money    

3.2 

2.8 

2.7 

2.7 

2.4 

Other  arguments 

31.3 

34.1 

34.4 

34.3 

32.9 

Miscellaneous 

non-felony  types2   

20.7 

18.3 

17.6 

18.1 

18.6 

Unknown 

19.6 

20.9 

22.1 

22.8 

22.5 

Clearances 

The  clearance  rate  for  murder  continued  to  be  higher 
than  for  any  other  Crime  Index  offense.  Law  enforcement 
agencies  nationwide,  as  well  as  in  the  cities,  were  successful 
in  clearing  70  percent  of  the  murders  occurring  in  their 
jurisdictions  during  1986.  Cities  10,000  to  24,999  in 
population  reported  the  most  successful  clearance  rate,  81 
percent.  Seventy-eight  percent  of  murders  in  rural  counties 
and  67  percent  of  those  in  suburban  counties  were  cleared. 


Regionally,  the  murder  clearance  rate  was  highest  in  the 
Southern  States,  76  percent.  Following  were  the 
Northeastern  States  with  69  percent  and  the  Midwestern 
and  Western  States  with  65  percent  each. 

Persons  under  18  years  of  age  were  involved  in  murder 
less  often  than  in  any  other  offense  in  1986.  They  accounted 
for  5  percent  of  the  willful  killings  cleared  by  law 
enforcement  nationally,  as  well  as  in  cities  and  in  rural 
counties.  Four  percent  of  the  suburban  county  clearances 
involved  only  persons  in  this  young-age  group. 

Persons  Arrested 

Murder  arrests  overall  increased  4  percent  in  1986  from 
the  1985  volume.  Arrests  of  persons  under  age  18  increased 
9  percent,  while  those  of  persons  aged  1 8  and  over  rose  4 
percent.  During  the  same  2-year  period,  male  and  female 
arrests  were  up,  4  and  5  percent,  respectively. 

Forty-one  percent  of  all  murder  arrestees  in  1986  were 
under  25  years  of  age,  with  9  percent  of  the  total  being  17  or 
younger.  The  18-  to  24-year  age  group  showed  the  greatest 
involvement  in  this  offense,  accounting  for  33  percent  of  the 
total  1986  murder  arrests. 

Whites  comprised  50  percent  of  the  total  arrestees  for 
murder  in  1986.  Blacks  made  up  48  percent,  and  the 
remainder  were  of  other  races.  Sixteen  percent  of  the 
arrestees  were  of  Hispanic  ethnicity. 

Long-term  trends  indicate  the  1986  murder  arrest  total 
was  7  percent  below  the  1982  level  but  9  percent  above  the 
1977  figure. 


FORCIBLE  RAPE 
_  DEFINITION  _ 


Forcible  rape,  as  defined  in  the  Program,  is  the  carnal  knowledge  of  a  female  forcibly 
and  against  her  will.  Assaults  or  attempts  to  commit  rape  by  force  or  threat  of  force  are 
also  included;  however,  statutory  rape  (without  force)  and  other  sex  offenses  are 
excluded. 


TREND 

Rate  per  100.000 

Year 

Number  of  offenses 

inhabitants 

1985  

87,671 

36.7 

1986  

90,434 

37.5 

Percent  change 

+  3.2 

+  2.2 

13 


Volume 

During  1986,  there  were  an  estimated  90,434  forcible 
rapes  in  the  Nation,  comprising  1  percent  of  the  Crime 
Index  total  and  6  percent  of  the  violent  crime  volume. 
Geographically,  the  Southern  States,  the  region  with  the 
largest  population,  accounted  for  37  percent  of  the  offenses. 
Following  were  the  West  with  24  percent,  the  Midwest  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   RAPE 

NUMBER  OF  OFFENSES  KNOWN  UP  15% 

RATE  PER  100,000  INHABITANTS  UP  10% 





FORCIBLE  RAPE  BY  MONTH 


Forcible  Rape  by  Month, 

1982-1986 

[Percent  of  annual  total] 

Months 

1982 

1983 

1984 

1985 

1986 

January 

7.1 

7.3 

7.1 

7.2 

7.1 

February                 

7.2 

6.9 

7.1 

6.6 

6.7 

March      

8.0 

7.6 

7.6 

8.2 

7.9 

April 

8.0 

7.9 

7.7 

8.3 

8.1 

May 

9.0 

8.5 

8.6 

8.9 

8.8 

June 

9.3 

8.8 

8.9 

9.0 

9.2 

July          

10.2 

9.9 

9.9 

10.1 

9.8 

August       

10.0 

10.4 

10.2 

9.9 

10.2 

September 

8.6 

9.1 

9.1 

8.8 

9.1 

October 

8.3 

8.7 

9.0 

8.5 

8.4 

November 

7.2 

7.7 

7.2 

7.7 

7.8 

December   

7.2 

7.1 

7.5 

6.9 

7.0 

Trend 

Compared  to  the  previous  year,  the  1986  forcible  rape 
volume  was  3  percent  higher  nationwide,  in  cities,  and  in 
rural  counties.  The  increase  in  the  suburban  counties  was  6 
percent.  Among  all  population  groupings,  only  cities  with  1 
million  or  more  inhabitants  showed  a  decline;  locales  of  that 
size  collectively  recorded  a  4-percent  decrease. 

Geographically,  three  of  the  four  regions  in  the  country — 
the  Midwestern,  Southern,  and  Western  States — registered 
4-percent  increases.  The  Northeastern  States  experienced 
the  only  decline,  1  percent. 

National  trends  for  5  and  10  years  show  that  the  forcible 
rape  total  rose  15  percent  from  1982  and  42  percent  from 
1977. 


Rate 

By  Uniform  Crime  Reporting  definition,  the  victims  of 
forcible  rape  are  always  female.  In  1986,  an  estimated  73  of 
every  100,000  females  in  the  country  were  reported  rape 
victims,  a  rate  increase  of  2  percent  from  1985.  Since  1982, 
the  female  forcible  rape  rate  has  risen  10  percent. 

Female  forcible  rape  rates  for  1986  showed  there  were  84 
victims  per  100,000  females  in  MSAs,  43  per  100,000 
females  in  cities  outside  metropolitan  areas,  and  35  per 
100,000  females  in  rural  counties. 

Regionally,  the  highest  female  rape  rate  was  in  the 
Western  States,  which  recorded  86  victims  per  100,000 
females.  Following  were  the  Southern  States  with  a  rate  of 
79,  the  Midwestern  States  with  69,  and  the  Northeastern 
States  with  55. 

Nature 

Of  all  reported  forcible  rapes  during  1986,  80  percent 
were  rapes  by  force.  The  remainder  were  attempts  or 
assaults  to  commit  forcible  rape.  A  4-percent  increase  was 
registered  in  the  number  of  rapes  by  force,  and  attempts  to 
commit  rape  increased  2  percent  from  the  1985  figure. 

Clearances 

Nationwide  in  1986,  52  percent  of  the  forcible  rapes 
reported  to  law  enforcement  were  cleared  by  arrest  or 
exceptional  means.  Rural  county  law  enforcement  agencies 
cleared  58  percent  of  the  offenses  brought  to  their  attention, 
while  suburban  county  agencies  cleared  54  percent  and 
those  in  cities,  51  percent. 

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  49 
percent. 

Of  the  total  clearances  for  forcible  rape  in  the  country  as 
a  whole,  10  percent  involved  only  persons  under  18  years  of 
age.  The  Nation's  cities  and  rural  counties  also  recorded  10 


ercent    involvement    of   this    age    group,    whereas    the      those  of  adults  rose  12  percent.  Arrests  of  persons  under  18 
aburban  counties  reported  9  percent.  years  of  age  for  this  offense  increased  14  percent  during  the 


ersons  Arrested 


same  timespan. 

Of  the  forcible  rape  arrestees  in  1986,  45  percent  were 
The  number  of  arrests  for  forcible  rape  rose  nearly  1  persons  under  the  age  of  25,  with  30  percent  of  the  total 
ercent  nationwide,  as  well  as  in  the  cities,  from  1985  to  1986.  being  in  the  18-  to  24-year  age  group.  Fifty-two  percent  of 
hese  arrests  were  up  2  percent  in  the  suburban  counties  but  those  arrested  were  white,  47  percent  were  black,  and  all 
:mained  virtually  the  same  in  the  rural  counties.  For  the  5-  other  races  comprised  the  remainder.  Hispanics  comprised 
ear  period,  1982  to  1986,  total  forcible  rape  arrests  and      12  percent  of  the  total  arrestees. 


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. 


Year  Number  of  offenses 

1985  497,874 

1986  542,775 

Percent  change   +  9.0 


Rate  per  100,000 

inhabitants 

208.5 

225.1 

+  8.0 


/olume 

Accounting  for  4  percent  of  all  Index  crimes  and  36 
>ercent  of  violent  crimes,  the  estimated  robbery  total  in 
986  was  542,775.  During  the  year,  robberies  occurred  most 
requently  in  August  and  least  often  in  April. 

Regionally,  the  most  populous  Southern  States  registered 
U  percent  of  all  reported  robberies.  Following  were  the 
Northeastern  States  with  27  percent,  the  Western  States 
vith  23  percent,  and  the  Midwestern  States  with  the 
emainder. 


counties,  a  5-percent  rise.  Of  the  cities,  those  with 
populations  under  10,000  registered  the  greatest  increase,  12 
percent. 

Two-year  regional  trends  show  the  number  of  robberies 
was  up  in  all  regions.  The  increases  were  17  percent  in  the 
South;  9  percent  in  the  Midwest;  8  percent  in  the  West;  and 
3  percent  in  the  Northeast. 

The  accompanying  chart  depicts  the  trend  in  the  robbery 
volume,  as  well  as  the  robbery  rate,  for  the  years  1982-1986. 
In  1986,  the  number  of  robbery  offenses  was  2  percent  lower 
than  in  1982  but  32  percent  above  the  1977  total. 


tobbery  by  Month,  1982-1986 

Percent  of  annual  total] 


Months 

1982 

1983 

1984 

1985 

1986 

anuary 

9.1 

9.5 

8.9 

8.6 

8.7 

ebruary 

8.2 

8.1 

8.2 

7.4 

7.7 

.larch                

8.0 

8.3 

8.1 

7.9 

8.2 

Ipril 

7.5 

7.6 

7.6 

7.3 

7.6 

4ay 

7.5 

7.4 

7.6 

7.5 

7.7 

une 

7.7 

7.4 

7.5 

7.7 

8.0 

uly 

8.4 

7.9 

7.9 

8.6 

8.4 

lugust 

8.5 

8.6 

8.5 

8.9 

9.3 

*ptember 

8.3 

8.4 

8.2 

8.4 

8.6 

ictober 

8.5 

8.8 

9.0 

9.1 

8.7 

■Jovember 

8.4 

8.8 

8.6 

8.8 

8.3 

December            

9.8 

9.2 

9.9 

9.7 

9.0 

trend 

Nationwide  and  in  the  cities,  1986  robbery  volumes  were 
)  percent  higher  than  1985  levels.  The  suburban  counties 
;xperienced  a  13-percent  jump  in  robberies  and  the  rural 


ROBBERY 

NUMBER  OF  OFFENSES  KNOWN  DOWN  2% 

RATE  PER  100,000  INHABITANTS  DOWN  6% 

Rate 

The  national  robbery  rate  in  1986  was  225  per  100,000 
people,  an  increase  of  8  percent  over  the  1985  rate.  With  960 
robberies  per  100,000  inhabitants,  the  highest  rate  was 
recorded  in  cities  with  populations  over  1  million,  while  the 
rural  counties'  rate  of  15  was  the  lowest.  In  metropolitan 
areas,  the  robbery  rate  was  286,  and  in  cities  outside 
metropolitan  areas,  it  was  49. 

Higher  robbery  rates  were  evident  in  all  regions  during 
1986.  The  Northeast's  rate  of  298  per  100,000  population 
was  up  2  percent;  the  West's  rate  of  251  was  6  percent 
higher;  the  South's  rate  of  199  was  a  jump  of  15  percent; 
and  the  Midwest's  rate  of  179  represented  an  8-percent 


Nature 

In  1986,  a  total  estimated  national  loss  of  $323  million 
was  due  to  robberies.  The  value  of  property  stolen  during 
robberies  averaged  $596  per  incident.  Average  dollar  losses 
ranged  from  $303  taken  during  robberies  of  gas  or  service 
stations  to  $2,664  per  bank  robbery.  The  impact  of  this 
violent  crime  on  its  victims  cannot  be  measured  in  terms  of 
monetary  loss  alone.  While  the  object  of  a  robbery  is  to 
obtain  money  or  property,  the  crime  always  involves  force 
or  threat  of  force,  and  many  victims  suffer  serious  personal 
injury. 

As  in  previous  years,  robberies  on  streets  or  highways 
accounted  for  more  than  half  (56  percent)  of  the  offenses  in 
this  category.  Robberies  of  commercial  and  financial 
establishments  accounted  for  an  additional  22  percent,  and 
those  occurring  at  residences,  10  percent.  The  remainder 
were  miscellaneous  types. 

Robbery,  Percent  Distribution,  1986 

[By  population  group] 


Robbery,  Percent  Distribution, 

[By  region] 


United 
States 
Total 

North- 
States 

Mid- 
States 

Southern 
States 

Western 
States 

Total1   

100.0 

100.0 

100.0 

100.0 

100.0 

Street/highway  

55.6 

63.4 

58.8 

49.3 

52.3 

Commercial  house    

12.3 

7.1 

9.5 

16.2 

15.5 

Gas  or  service  station   

3.1 

2.5 

3.5 

3.4 

3.0 

Convenience  store 

5.3 

1.9 

3.3 

9.1 

5.8 

Residence 

10.4 

12.4 

10.4 

9.8 

9.1 

Bank 

1.3 

.5 

.9 

1.1 

2.7 

Miscellaneous   

12.0 

12.2 

13.7 

11.2 

11.6 

Because  of  rounding,  percentages  may 


Group  1  (58 
cities,  250.000 

population 
42.614,000) 

Group  II  (123 
cities,   100,000  to 
249,999;  popula- 
tion 17,959,000) 

Group  III  (300 
cities,  50,000  to 
99,999;  popula- 
tion 20,511,000) 

Group  IV  (656 
cities,  25,000  to 
49,999;  popula- 
tion 22.677,000) 

Group  V  (1,609 
cities.   10.000  to 
24,999;  popula- 
tion 25,276,000) 

Group  VI  (6,447 
cities  under 
10,000;  popula- 
tion 23,032,000) 

County 

(4.185  agencies; 
population 
73,192,000) 

100.0 

100.0 

100.0 

100.0 

100.0 

100.0 

62.5 
9.8 
2.0 
3.4 

10.6 
.8 

10.9 

55.3 
13.5 
3.5 
6.8 
9.7 
1.7 
9.5 

49.8 
15.9 
4.0 
7.0 
9.1 
1.8 
12.5 

42.4 
17.2 
5.0 
8.0 
9.9 
1.8 
15.8 

35.1 
17.9 

6.7 
10.1 
11.2 

2.1 
16.9 

29.5 
18.4 

6.6 
11.7 
11.6 

2.4 
19.8 

Miscellaneous   

15.9 

Because  of  rounding,  percentages  may  not  add  to  totals. 

All  types  of  robbery  increased  from  1985  to  1986.  The 
increases  ranged  from  15  percent  for  commercial  house 
robberies  to  3  percent  for  those  of  gas  or  service  stations. 

Forty-three  percent  of  all  robberies  in  1986  were 
committed  through  the  use  of  strong-arm  tactics.  Firearms 
were  used  in  34  percent,  knives  or  cutting  instruments  in  13 
percent,  and  other  weapons  in  the  remaining  10  percent.  A 
comparison  of  1985  and  1986  robbery  totals  by  weapon 
showed  those  by  knives  or  cutting  instruments  up  12 
percent.  Robberies  by  firearms  were  up  6  percent,  and  those 
by  other  dangerous  weapons  rose  16  percent.  Strong-armed 
robberies  increased  8  percent  in  volume  during  the  2-year 
period. 


Robbery,  Type  of  Weapons  Used,  1986 

[Percent  distribution  by  region] 


Total 
all 

Armed 

Reg,o„ 

Fire- 

Knife  or 

cutting 

Other 
weapons 

aT/d 

100.0 

34.3 

13.5 

9.7 

Northeastern  States   

Midwestern  States 
Southern  States 
Western  States    

100.0 
100.0 
100.0 
100.0 

27.3 
34.1 
41.2 
33.5 

17.2 
10.6 
11.6 
14.0 

10.9 
10.9 
8.0 

44.6 
44.3 
39.2 
43.1 

Because  of  rounding,  percentages  may 


STREET   ROBBERY 

1982-1986 

UP  3% 


+  20% 

+  10% 

0 

-10% 

-20% 

-30% 


ROBBERY  OF 
COMERCIAL    HOUSE 

1982-1986 

UP  3% 


1983  1984 


ROBBERY  OF 
GAS    STATION 

1982-1986 

DOWN    13% 

+  20% 
+  10% 


ROBBERY  OF 
CONVENIENCE    STORE 

1982-1986 

DOWN    16% 


ROBBERY  OF 
RESIDENCE 

1982-1986 

DOWN    6% 


+  20% 
+  10% 

0 

-10% 

-20% 

-30% 


BANK  ROBBERY 

1982-1986 

DOWN    1% 


1984  1985 


I984  1985 


Clearances 

For  every  4  robberies  reported  in  1986,  one  was  cleared 
by  law  enforcement.  The  highest  robbery  clearance  rate — 38 
percent — was  registered  by  rural  law  enforcement  agencies. 
Suburban  county  agencies  cleared  28  percent  and  those  in 
cities,  24  percent.  Regional  robbery  clearance  percentages 
were  27  percent  in  the  South,  25  percent  in  both  the  West 
and  Northeast,  and  20  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  11  percent  of  all  1986  robbery  clearances.  This 
age  group  accounted  for  7  percent  of  the  rural  county 
clearances. 


Persons  Arrested 

Nationally,  arrests  for  robbery  rose  7  percent  in  1986 
when  compared  to  1985.  This  same  increase  was 
experienced  in  both  the  cities  and  the  suburban  counties;  the 
rural  counties,  however,  showed  a  decrease  of  6  percent. 

Sixty-two  percent  of  all  robbery  arrestees  in  1986  were 
under  25  years  of  age,  and  92  percent  were  males.  Sixty-two 
percent  of  those  arrested  were  black,  37  percent  were  white, 
and  the  remainder  were  of  other  races.  Fourteen  percent  of 
the  robbery  arrestees  were  Hispanic. 

The  total  number  of  robbery  arrests,  as  well  as  those  of 
males  arrested  for  this  offense,  decreased  4  percent  during 
the  5-year  period,  1982-1986.  Female  arrests  were  up  2 
percent  for  this  same  timespan.  Juvenile  arrests  were  down 
16  percent,  while  those  of  adults  showed  little  change. 


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. 


TRF.lSin 

Year 

1985  

1986 

Number  of  offenses 
723,246 
834,322 

Rate  per  100,000 

inhabitants 

302.9 

346.1 

+  14.3 

+  15.4 

21 


Volume 

Totaling  an  estimated  834,322  offenses  nationally, 
aggravated  assaults  in  1986  occurred  most  frequently  in  the 
summer  months.  Geographic  distribution  figures  show  that 
37  percent  of  the  aggravated  assault  volume  was  accounted 
for  by  the  Southern  States,  25  percent  by  the  Western  States, 
2 1  percent  by  the  Midwestern  States,  and  the  remainder  by 
the  Northeastern  States. 


AGGRAVATED    ASSAULT 

NUMBER  OF  OFFENSES  KNOWN  UP  25% 

RATE  PER  100,000  INHABITANTS  UP  20% 

■ 

j-"**^"*^ 

-         .-■„, 

_ 

••-■'" 

'"" 

AGGRAVATED  ASSAULT  BY  MONTH 

V.rt.lton  F,cm  Annual  <„„,,.    ^^*~ 

"^ 

S'                                                       "*N^__ 

,. 

y ^s>»», 

j 

AN         FEB        MAR          APR          MAT        JUNE       JULY 

AUO.         SEPT.       0 

CT.     NOV 

DEC 

Aggravated  Assault  by  Month,  1982-1986 

[Percent  of  annual  total] 


Months 

1982 

1983 

1984 

1985 

1986 

January 

7.3 

7.7 

7.0 

7.0 

6.8 

February  

7.1 

7.1 

7.0 

6.8 

6.3 

March     

8.1 

7.9 

7.8 

8.2 

8.0 

April        

8.3 

8.1 

7.9 

8.2 

8.1 

May 

9.0 

8.9 

8.7 

8.8 

9.1 

July 

9.7 

August       

9.0 

9.7 

9.5 

9.5 

10.0 

October 

8.5 

8.5 

8.9 

8.8 

8.3 

November 

7.4 

7.4 

7.6 

7.9 

7.6 

December 

7.7 

7.3 

8.1 

7.4 

7.4 

Trend 

Upward  trends  in  aggravated  assault  were  evident 
nationwide  and  throughout  all  regions  and  population 
groups  in  1986.  The  increases  over  1985  were  10  percent  in 
the  Northeast,  12  percent  in  the  South,  14  percent  in  the 
Midwest,  and  26  percent  in  the  West.  Nationally,  the 
aggravated  assault  total  rose  15  percent  for  the  2-year 
period. 

By  population  group,  cities  with  1  million  or  more 
inhabitants  recorded  the  greatest  rise  in  aggravated  assaults 
from  1985,  24  percent.  Upswings  of  17  percent  in  the  cities 
collectively,  12  percent  in  the  suburban  counties,  and  7 
percent  in  the  rural  counties  were  registered  for  this  offense 
during  the  same  time  period. 

Five-  and  10-year  trends  show  aggravated  assaults  up  25 
percent  from   1982  and  56  percent  from   1977. 


Rate 

There  were  346  reported  victims  of  aggravated  assault  for 
every  100,000  people  nationwide  in  1986.  Higher  than  the 
national  average,  the  rate  in  metropolitan  areas  was  394  per 
100,000.  Cities  outside  metropolitan  areas  experienced  a 
rate  of  274  and  rural  counties,  a  rate  of  137. 

The  1986  aggravated  assault  rate  increased  14  percent 
over  1985  and  20  percent  above  the  1982  level. 

Nature 

Weapon  distribution  data  for  1986  showed  32  percent  of 
the  aggravated  assaults  reported  were  committed  with  blunt 
objects  or  other  dangerous  weapons.  Of  the  remaining 
categories,  personal  weapons  such  as  hands,  fists,  and  feet 
were  used  in  25  percent  of  the  offenses;  knives  or  cutting 
instruments  in  22  percent;  and  firearms  in  21  percent. 

From  1985  to  1986,  aggravated  assaults  committed  with 
cutting  instruments  increased  10  percent;  those  with 
firearms,  13  percent;  and  those  with  blunt  objects  or  other 
dangerous  weapons,  16  percent.  Assaults  where  personal 
weapons  were  used  showed  the  greatest  increase,  21  percent. 

The  following  table  shows  the  1986  regional  experience  of 
aggravated  assault  by  type  of  weapon  used. 

Aggravated  Assault,  Type  of  Weapons  Used,  1986 

[Percent  distribution  by  region] 


Other 

Total 

all 

weapons' 

Knife  or 

weapons 

Region 

Fire- 

cutting 

(clubs, 

blunt 
objects, 
etc.) 

Personal 
weapons 

Total   

100.0 

21.3 

22.0 

31.9 

24.8 

Northeastern  States  

100.0 

13.3 

24.8 

34.7 

27.1 

Midwestern  States   

100.0 

24.4 

23.1 

34.4 

18.1 

Southern  States 

100.0 

25.5 

23.6 

30.5 

20.4 

Western  States    

100.0 

18.1 

17.0 

30.0 

35.0 

'Because  of  rounding,  percentages  i 


Clearances 

During  1986,  law  enforcement  agencies  nationwide  and  in 
le  cities  cleared  59  percent  of  the  aggravated  assaults 
:ported.  The  highest  clearance  rate,  67  percent,  was 
:corded  by  the  rural  counties  and  cities  with  populations 
ss  than  10,000. 

Geographically,  clearance  percentages  for  aggravated 
ssault  were  62  percent  in  the  South,  59  percent  in  both  the 
/est  and  Northeast,  and  55  percent  in  the  Midwest. 

Nine  percent  of  the  clearances  reported  by  city  and 
lburban  county  agencies  involved  only  persons  under  age 
8.  Persons  in  this  age  group  were  identified  as  the 
ssailants  in  8  percent  of  the  national  and  6  percent  of  the 
iral  county  aggravated  assault  clearances. 


Persons  Arrested 

The  estimated  351,770  persons  arrested  for  aggravated 
assault  in  1986  represented  71  percent  of  all  arrestees  for 
violent  crimes.  Whites  comprised  59  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.  Eighty-five  percent  were  non- 
Hispanic. 

Total  arrests  for  aggravated  assault  were  up  16  percent  in 
1986  from  the  1985  total.  During  this  2-year  period,  adult 
arrests  rose  17  percent  and  those  of  juveniles  increased  7 
percent.  A  comparison  of  1982  and  1986  figures  showed 
total  arrests  for  this  offense  up  1 5  percent;  those  of  persons 
under  age  18,  up  9  percent;  and  those  of  adults,  up  16 
percent. 


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. 


TPFNin 

Year 
1985 

Number  of  offenses 
3,073,348 

Rate  per  100,000 

inhabitants 

1,287.3 

1,344.6 

+  4.5 

1986  

3,241,410 

Percent  change 

+  5.5 

'olume 

The  estimated  national  burglary  total  in  1986  was  over 
.2  million.  Burglaries  accounted  for  25  percent  of  all  Crime 
ndex  offenses  and  28  percent  of  property  crimes. 

Distribution  figures  for  the  regions  showed  that  the 
ighest  burglary  volume  occurred  in  the  Southern  States,  39 
ercent.  The  Western  States  followed  with  25  percent,  the 
lidwestern  States  with  20  percent,  and  the  Northeastern 
tates  with  16  percent. 

Like  the  previous  year,  more  burglaries  occurred  more 
•equently  in  August  than  any  other  month  and  least  often 
l  February. 


BURGLARY 

NUMBER  OF  OFFENSES  KNOWN  DOWN  6% 

RATE  PER  100,000  INHABITANTS  DOWN  10% 

"""""""s^r- 

_._.-.— 

BURGLARY  BY  MONTH 

"•"•"""  ' 

cm  tnw.l  A..,.,. 

.6 

^^~  '          '~-*» .<*«• 

" 

^^^s'      * "" 

•  UO  SEPT        OCT 


urglary  by  Month,  1982-1986 

'ercent  of  annual  total] 


Months 

1982 

1983 

1984 

1985 

1986 

84 

bruary              

7.7 

7.8 

7.9 

7.2 

7.5 

arch 

8.4 

8.5 

8.0 

8.2 

8.3 

pril 

7.9 

7.9 

7.8 

7.8 

7.9 

ay 

7.9 

8.1 

8.0 

8.0 

8.1 

ne 

8.3 

7.8 

7.8 

7.9 

8.1 

I                    

8.8 

8.5 

8.7 

9.0 

8.9 

iigust 

8.8 

9.0 

8.9 

9.1 

9.0 

ptember               

8.3 

8.4 

8.3 

8.5 

8.5 

.tober     

8.3 

8.5 

8.8 

9.0 

8.4 

avember 

8.3 

8.3 

8.4 

8.5 

8.1 

Kember 

8.9 

8.1 

9.0 

8.8 

8.8 

The  1986  burglary  volume  was  5  percent  higher  than  in 
985  nationwide,  as  well  as  in  the  cities  and  rural  counties, 
i  the  suburban  counties,  a  6-percent  increase  was 
jgistered. 

Geographically,  the  Northeastern  States  showed  virtually 
o  change  in  the  burglary  count,  while  the  three  remaining 
jgions  experienced  upswings.  Burglary  rose  12  percent  in 
le  Southern  States,  3  percent  in  the  Western  States,  and  2 
ercent  in  the  Midwestern  States. 


Rate 

A  burglary  rate  of  1,345  per  100,000  inhabitants  was 
registered  nationwide  in  1986.  The  rate  increased  4  percent 
over  1985  but  was  10  percent  below  the  1982  rate.  For  every 
100,000  in  population,  the  rate  was  1,510  in  the 
metropolitan  areas,  1,046  in  the  cities  outside  metropolitan 
areas,  and  649  in  the  rural  counties. 

Regionally,  the  burglary  rate  in  the  South  was  1,523,  an 
increase  of  1 1  percent  from  the  previous  year.  The  rate  was 
up  1  percent  fr  nn  1985  in  both  the  West  and  Midwest 
where  the  1986  rates  were  1,671  and  1,082,  respectively.  The 
Northeast,  with  a  rate  of  1,043,  was  the  only  region  to  show 
a  decline,  1  percent. 
Nature 

Two  of  every  3  burglaries  in  1986  were  residential  in 
nature.  Seventy  percent  of  all  burglaries  involved  forcible 
entry,  22  percent  were  unlawful  entries  (without  force),  and 
the  remainder  were  forcible  entry  attempts.  Considering 
those  offenses  for  which  time  of  occurrence  was  reported,  53 
percent  occurred  at  night  and  47  percent  during  the 
daytime. 

Burglary  victims  suffered  losses  estimated  at  $3.1  billion 
in  1986,  and  the  average  dollar  loss  per  burglary  was  $960. 
The  average  loss  for  residential  offenses  was  $99 1 ,  while  for 
nonresidential  property,  it  was  $894. 

Residential  burglary  increased  7  percent  from  1985  to 
1986;  nonresidential  offenses  were  up  3  percent  during  the 
same  period. 
Clearances 

In  1986,  14  percent  of  the  burglaries  brought  to  the 
attention  of  law  enforcement  agencies  across  the  country 
were  cleared.  Geographically,  a  16-percent  clearance  rate 
was  registered  in  the  South.  In  both  the  Northeast  and 
West,  the  rate  was  13  percent,  while  in  the  Midwest,  it  was 
11  percent. 


RESIDENCE 
BURGLARY 

NIGHTTIME 

1982-1986 

DOWN   7% 


1983  1984  1985 


NONRESIDENCE 
BURGLARY 

NIGHTTIME 

1982-1986 

DOWN    17% 


1982  1983 


1985  1! 


+  20% 
+  10% 

0 

-10% 

-20% 

.-30% 
+  20% 

+  10% 

0 
-10% 
-20% 
-30% 


RESIDENCE 
BURGLARY 

DA  YTIME 

1982-1986 

DOWN    .1% 


1982  1983  1984  1985 


NONRESIDENCE 
BURGLARY 


DA  YTIME 

1982-1986 

UP  2% 


1982  1983 


BURGLARIES  OF  UNKNOWN  TIME  OF  OCCURRENCE  ARE  NOT  INCLUDED. 


Rural  county  law  enforcement  cleared  16  percent  of  the 
jrglaries  in  their  jurisdictions.  Those  in  the  suburban 
mnties  recorded  a  clearance  rate  of  15  percent,  and 
»encies  in  cities  obtained  clearances  in  13  percent  of  these 
imes. 

Adults  were  involved  in  79  percent  of  all  burglary 
Tenses  cleared,  and  only  young  people  under  18  years  of 
»e  were  offenders  in  the  remaining  21  percent.  Similar  to 
le  national  experience,  persons  under  age  1 8  accounted  for 
I  percent  of  the  burglary  clearances  in  both  cities  and 
lburban  counties  and  22  percent  of  those  in  rural  counties, 
he  highest  degree  of  juvenile  involvement  in  burglary  was 
:corded  in  the  Nation's  smallest  cities  (under  10,000 
apulation)  where  young  persons  under  18  years  of  age 
)mprised  28  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 
450,600  arrests  were  made  in  1986.  Arrest  trends  for  1986 
and  1985  show  a  1 -percent  increase  in  total  burglary  arrests, 
and  a  4-percent  rise  in  those  of  adults,  while  arrests  of 
persons  under  18  years  of  age  were  down  5  percent.  For  the 
same  period,  total  burglary  arrests  rose  4  percent  in  the 
suburban  counties,  while  in  the  cities  and  the  rural  counties 
they  showed  virtually  no  change. 

Ninety-two  percent  of  the  burglary  arrestees  during  1986 
were  males  and  71  percent  were  under  25  years  of  age.  Of 
the  total  burglary  arrestees,  whites  accounted  for  69  percent, 
blacks  for  30  percent,  and  other  races  for  the  remainder. 
Eighty-five  percent  of  the  persons  arrested  for  burglary  were 
non-Hispanic. 


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. 


TPFMFl 

Rate  per  100,000 

Year 

Number  of  offenses 

inhabitants 

1985  

6,926,380 

2,901.2 

1986  

7,257,153 

3,010.3 

Percent  change 

+  4.8 

+  3.8 

'olume 

Estimated  at  7,257,153  offenses  in  1986,  larceny-thefts 
omprised  55  percent  of  the  Crime  Index  total  and  62 
ercent  of  the  property  crimes.  When  viewed  monthly, 
irceny-thefts  were  recorded  most  often  during  August  and 
;ast  frequently  in  February. 


OCT      MOV        DEC 


Regionally,  the  most  populous  Southern  States  recorded 
6  percent  of  the  total.  The  Western  States  registered  25 
ercent;  the  Midwestern  States,  23  percent;  and  the 
Jortheastern  States,   17  percent. 

arceny-Theft  by  Month,  1982-1986 

■ercent  of  annual  total] 


Months 

1982 

1983 

1984 

1985 

1986 

jbruary  

7.1 

7.4 

7.6 

7.0 

7.2 

arch 

8.0 

8.4 

8.0 

8.2 

8.3 

ay 

8.3 

8.4 

8.2 

8.4 

8.9 

8.5 

8.4 

8.5 

8.6 

ly 

9.2 

8.9 

9.0 

9.3 

9.1 

ugust 

9.4 

9.4 

9.4 

9.5 

9.3 

ptember 

8.6 

8.4 

8.3 

8.4 

8.4 

ctober 

8.7 

8.6 

8.9 

8.9 

8.5 

ovember 

8.2 

8.0 

8.2 

8.2 

7.9 

ecember 

8.5 

7.7 

8.5 

8.1 

8.3 

rend 


A  comparison  of  1985  and  1986  figures  showed  that 
irceny-theft  increased  5  percent  nationally,  in  cities 
ollectively,  and  in  the  suburban  counties.  Rural  counties 
howed  a  rise  of  3  percent. 

Volume  increases  among  the  regions  ranged  from  8 
•ercent  in  the  Southern  States  to  2  percent  in  the 
•Jortheastern  States.  The  Western  States  showed  a  4-percent 
ipswing  in  larceny-thefts  and  the  Midwestern  States,  a  3- 
lercent  rise. 

The  5-  and  10-year  volume  trends  showed  a  2-percent 
ncrease  over  1982  and  a  23-percent  rise  over  1977  figures. 


LARCENY-THEFT 

NUMBER  OF  OFFENSES  KNOWN  UP  2% 

RATE  PER  100,000  INHABITANTS  DOWN  2% 

- 



Rate 

Four  percent  higher  than  in  1985,  the  1986  larceny-theft 
rate  was  3,010  per  100,000  United  States  inhabitants.  The 
larceny-theft  rate  was  3,374  per  100,000  inhabitants  of 
metropolitan  areas;  3,191  per  100,000  population  in  cities 
outside  metropolitan  areas;  and  921  per  100,000  people  in 
the  rural  counties. 

Regionally,  all  larceny-theft  rates  increased  over  1985 
levels.  The  1986  rates  per  100,000  inhabitants  were  3,662  in 
the  Western  States,  3,107  in  the  Southern  States,  2,792  in 
the  Midwestern  States  and  2,473  in  the  Northeastern  States. 

Nature 

The  average  value  of  property  stolen  due  to  larceny-theft 
during  1986  was  $400,  up  from  $393  in  1985.  When  the 
average  value  was  applied  to  the  estimated  number  of 
larceny-thefts,  the  loss  to  victims  nationally  was  $2.9  billion 
for  the  year.  This  estimated  dollar  loss  is  considered 
conservative  since  many  offenses  in  the  larceny  category, 
particularly  if  the  value  of  the  stolen  goods  is  small,  never 
come  to  law  enforcement  attention.  Losses  in  27  percent  of 
the  thefts  reported  to  law  enforcement  in  1986  ranged  from 
$50  to  $200,  while  in  34  percent,  they  were  over  $200. 

Losses  of  goods  and  property  reported  stolen  as  a  result  of 
pocket-picking  was  $248;  purse-snatching,  $208;  and 
shoplifting,  $86.  Thefts  from  buildings  resulted  in  an 
average  loss  of  $646;  from  motor  vehicles,  $428;  and  from 
coin-operated  machines,  $129.  The  average  value  loss  due  to 
thefts  of  motor  vehicle  accessories  was  $282  and  for  thefts  of 
bicycles,  $167. 

Thefts  of  motor  vehicle  parts,  accessories,  and  contents 
made  up  the  largest  portion  of  reported  larcenies — 37 
percent.  Also  contributing  to  the  high  volume  of  thefts  were 
those  from  buildings  and  shoplifting,  each  accounting  for  1 5 
percent;  and  bicycle  thefts,  accounting  for  7  percent.  The 
remainder  were  distributed  among  pocket-picking,  purse- 
snatching,  thefts  from  coin-operated  machines,  and  all  other 


29 


POCKET-PICKING 

1982-1986 
DOWN     2% 


THEFT  OF  MOTOR 
VEHICLE    ACCESSORIES 

1982-1986 

DOWN    14% 


k20% 
-10% 


PURSE-SNATCHING 

1982-1986 

DOWN   5% 


THEFT   FROM 
MOTOR    VEHICLES 

1982-1986 

UP   11% 


10% 
0 


THEFT   OF   BICYCLES 

1982-1986 

DOWN    16% 


THEFT   FROM   BUILDINGS 

1982-1986 

DOWN   3% 


••20% 
1-10% 

0 
-10% 
-20% 
-30% 


THEFT   FROM 
COIN    MACHINES 

1982-1988 

UP  5% 


LARCENY  ANALYSIS 
1986 


LU 


■ 

>■ 
Z 
LU 

o 

< 


PURSE  -  SNATCHING  1% 
POCKET- PICKING  1% 
COIN  MACHINES  1% 
SHOPLIFTING  15% 

BICYCLES  8% 


FROM  MOTOR  VEHICLES  21% 


FROM  BUILDINGS  15% 


MOTOR  VEHICLE  ACCESSORIES  1 7% 


ALL  OTHERS  22% 


31 


types  of  larceny-thefts.  The  accompanying  table  presents  the 
distribution  of  larceny-theft  by  type  and  geographic  region. 

Larceny  Analysis  by  Region,  1986 

[Percent  distribution  by  region] 


United 
States 
total 

North- 

Mid- 

Southern 

Western 

States 

States 

States 

States 

Total' 

100.0 

100.0 

100.0 

100.0 

100.0 

Pocket-picking 

1.2 

3.6 

.9 

.5 

.7 

Purse-snatching  

1.3 

2.4 

1.3 

1.1 

.9 

Shoplifting  

14.8 

11.4 

13.1 

15.5 

17.6 

From  motor  vehicles 

(except  accessories) 

20.7 

19.7 

18.1 

19.3 

25.6 

Motor  vehicle 

accessories 

16.6 

18.7 

16.2 

18.0 

13.6 

Bicycles..             

7.2 

7.0 

7.3 

6.6 

8.0 

From  buildings           

15.2 

19.5 

18.8 

12.0 

13.6 

From  coin-operated 

machines 

.9 

.8 

.7 

1.2 

.8 

22.2 

16.9 

23.7 

25.9 

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

Clearances 

Nationwide  and  in  cities  during  1986,  20  percent  of  the 
reported  larceny-thefts  were  cleared.  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 
2 1  percent  of  the  larceny  offenses  brought  to  their  attention. 
The  clearance  rate  in  the  South  and  Midwest  was  20 
percent;  and  in  the  Northeast,  18  percent. 


Persons  under  18  years  of  age  were  involved  in  23  percent 
of  the  national  clearances  for  larceny-theft.  Twenty-four 
percent  of  the  clearances  in  cities,  21  percent  of  those  in 
suburban  counties,  and  17  percent  of  those  in  rural  counties 
were  accounted  for  by  persons  in  this  age  group. 

Persons  Arrested 

The  number  of  persons  arrested  for  larceny-theft  was  4 
percent  higher  in  1986  than  in  1985.  Like  the  overall 
increase,  female  arrests  for  this  offense  were  up  4  percent, 
and  those  of  males  increased  5  percent.  During  this  same 
period,  adult  arrests  rose  6  percent  while  those  of  persons 
under  18  years  of  age  were  up  2  percent. 

Considering  a  longer  timeframe,  larceny-theft  arrests 
showed  a  5-percent  increase  for  the  5-year  period,  1982- 
1986.  Juvenile  arrests  were  up  1  percent,  and  those  of  adults 
rose  6  percent  during  this  timespan. 

Larceny-thefts  not  only  comprised  the  largest  portion  of 
Crime  Index  offenses  reported  to  law  enforcement,  they  also 
accounted  for  55  percent  of  the  arrests  for  Index  crimes  in 
1986.  Forty-six  percent  of  the  larceny  arrests  were  of 
persons  under  21  years  of  age,  and  32  percent  of  the 
arrestees  were  under  18.  Females,  who  were  arrested  for  this 
offense  more  often  than  for  any  other  in  1986,  comprised  31 
percent  of  all  larceny-theft  arrestees. 

Whites  accounted  for  68  percent  of  the  total  larceny-theft 
arrests,  blacks  for  30  percent,  and  all  other  races  made  up 
the  remainder.  Eighty-eight  percent  of  the  arrestees  were 
persons  of  non-Hispanic  ethnicity. 


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. 


TBFNn 

Rate  per  100,000 

Year 

Number  of  offenses 

inhabitants 

1985           

1,102.862 

462.0 

1986 

1,224,137 

507.8 

Percent  change 

+  11.0 

+  9.9 

33 


Volume 

Accounting  for  9  percent  of  all  Index  crimes  and  10 
percent  of  all  property  crimes,  motor  vehicle  thefts  totaled 
an  estimated  1,224,137  offenses  in  1986.  The  regional 
distribution  of  motor  vehicle  theft  showed  31  percent  of  the 
volume  was  in  the  Southern  States,  24  percent  in  the 
Northeastern  States,  23  percent  in  the  Western  States,  and 
22  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 

NUMBER  OF  OFFENSES  KNOWN  UP  15% 

RATE  PER  100,000  INHABITANTS  UP  11% 

| .— ■ 

^^"'"" 

Motor  Vehicle  Theft  by  Month,  1982-1986 

[Percenl  of  annual  total] 


January 
February 
March 

May 

June 

July 

August 

September 

October 

November 


Trend 

When  viewing  1985  to  1986  figures,  the  number  of  motor 
vehicle  thefts  rose  11  percent  nationally,  with  the  increase 
extending  into  all  regions,  areas,  and  population  groups. 
The  Nation's  cities  recorded  a  12-percent  rise;  suburban 
counties,  a  10-percent  increase;  and  rural  counties,  a  6- 
percent  rise. 

Geographically,  the  increases  were  16  percent  in  the 
Southern  States,  14  percent  in  the  Western  States,  8  percent 
in  the  Northeastern  States,  and  5  percent  in  the  Midwestern 
States. 

The  accompanying  chart  shows  that  the  volume  of  motor 
vehicle  thefts  in  1986  increased  15  percent  over  the  1982 
volume.  It  was  25  percent  above  the  1977  level. 


Rate 

The  1986  national  motor  vehicle  theft  rate — 508  per 
100,000  people — was  10  percent  higher  than  the  rate  in 
1985.  The  rate  was  11  percent  higher  than  in  1982  and  12 
percent  above  the  1977  experience. 

For  every  100,000  inhabitants  living  in  MSAs,  there  were 
619  motor  vehicle  thefts  reported  in  1986.  The  rate  in  cities 
outside  metropolitan  areas  (other  cities)  was  206  and  in 
rural  counties,  108.  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  587  per  100,000  people  in  the  Northeastern  States  to 
448  in  the  Midwestern  States.  The  Western  States'  rate  was 
584  and  the  Southern  States'  rate,  458.  From  1985  to  1986, 
rate  increases  were  registered  in  the  Southern  States,  14 
percent;  the  Western  States,  11  percent;  the  Northeastern 
States,  8  percent;  and  the  Midwestern  States,  5  percent. 

In  1986,  an  estimated  average  of  1  of  every  149  registered 
motor  vehicles  was  stolen  nationwide.  Regionally,  this  rate 
was  greatest  in  the  Northeast  where  1  of  every  108  motor 
vehicles  registered  was  stolen.  The  other  three  regions 
reported  lesser  rates — 1  per  134  in  the  West,  1  per  171  in  the 
South,  and  1  per  177  in  the  Midwest. 

Nature 

An  estimated  national  loss  of  $6  billion  in  1986  was  due 
to  motor  vehicle  theft.  At  the  time  of  theft,  the  average 
value  per  vehicle  stolen  was  $4,888. 

Of  all  motor  vehicles  reported  stolen  during  the  year,  77 
percent  were  automobiles,  14  percent  were  trucks  or  buses, 
and  the  remainder  were  other  types. 


Vehicle  Theft,  1986 

t  distribution  by  region] 


Region 

Total1 

Autos 

and 

Other 
vehicles 

tal 

100.0 

77.3 

13.6 

9.1 

100.0 
100.0 
100.0 
100.0 

90.7 
83.5 
71.7 
66.1 

5.0 
8.2 
17.7 
21.5 

4.3 

8.4 

uthem  States 
estern  States 

10.6 
12.5 

Because  of  rounding,  percentages  may  not  add  to  totals. 

learances 

The  national  clearance  rate  for  motor  vehicle  theft  in 
)86  was  15  percent.  City  law  enforcement  agencies  cleared 
t  percent  of  the  motor  vehicle  thefts  reported  in  their 
cales;  those  in  the  suburban  counties  cleared  19  percent; 
id  in  rural  counties,  32  percent. 

Regional  clearance  percentages  for  motor  vehicle  theft 
ere  9  percent  in  the  Northeastern  States,  14  percent  in  the 
[idwestern  States,  16  percent  in  the  Western  States,  and  19 
:rcent  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  19  percent 
of  the  clearances  in  the  rural  counties. 

Persons  Arrested 

Of  persons  arrested  for  motor  vehicle  theft  in  1986,  91 
percent  were  males.  Sixty-four  percent  of  the  arrestees  were 
white,  35  percent  were  black,  and  the  remainder  were  of 
other  races.  Sixteen  percent  of  the  arrestees  were  Hispanic. 

A  large  proportion  of  arrestees  was  accounted  for  by  the 
younger  segment  of  the  population.  In  1986,  58  percent  of 
all  persons  arrested  for  this  offense  were  under  21  years  of 
age,  and  those  under  age  18  comprised  39  percent  of  the 
total.  From  1985,  arrests  of  persons  under  age  18  were  up  19 
percent,  with  arrests  of  males  in  this  age  group  up  20 
percent  and  those  of  females  up  14  percent. 

Total  motor  vehicle  theft  arrests  were  up  15  percent  and 
adult  arrests  rose  13  percent  in  1986  over  the  previous  year. 
Overall  arrests  were  22  percent  higher  in  1986  than  in  1982 
and  4  percent  above  the  1977  level. 


ARSON 
DEFINITION 


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

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


'olume 

In  1986,  110,732  arson  offenses  were  recorded  by  12,599 
iw  enforcement  agencies  furnishing  from  1  to  1 2  months  of 
sports.  Of  these  agencies,  12,464  provided  the  detailed 
lformation — type  of  structure,  estimated  monetary  value  of 
le  property  damaged,  etc. — from  which  the  tables  on  the 
ccompanying  pages  were  tabulated.  Further  information 
jgarding  arson  offenses  and  trends  is  presented  in  Tables  6 
irough  13  and  arson  clearances  in  Tables  20  through  23. 
ince  only  9,345  agencies  covering  78  percent  of  the  United 
tates  population  submitted  reports  for  all  12  months  of  the 
ear,  the  data  user  should  be  aware  that,  while  conservative 
idicators,  the  figures  do  not  represent  the  Nation's  total 
rson  experience. 


rend 


Arson  offenses  rose  6  percent  nationally  and  in  cities  from 
985  to  1986.  Trend  figures  also  showed  upswings  of  4 
ercent  in  the  suburban  counties  and  8  percent  in  the  rural 
ounties.  Regionally,  arson  increased  10  percent  in  the 
lidwest  and  was  up  8  percent  in  the  South.  The  West  and 
lortheast  declined  3  and  2  percent  respectively. 

By  property  type,  those  arsons  in  which  structures  were 
le  targets  increased  1  percent  nationally.  Arsons  of  mobile 
roperty  were  up  15  percent,  and  those  of  all  other  property 
ecreased  6  percent. 

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


tate 


Since  population  coverage  for  arson  data  is  lower  than  for 
tie  other  Crime  Index  offenses,  arson  rates  per  100,000 
lhabitants  are  tabulated  independently.  Based  only  on 
gures  from  law  enforcement  agencies  supplying  12  months 
f  statistics  for  all  Index  crimes,  including  arson,  the  1986 
ates  are  shown  in  the  accompanying  table. 

The  rates  ranged  from  120  per  100,000  inhabitants  in 
ities  with  populations  over  1  million  to  26  per  100,000  rural 
ounty  inhabitants.  The  suburban  counties  and  all  cities 
ollectively  recorded  rates  of  41  and  61  per  100,000 
lhabitants,  respectively.  Overall,  the  1986  national  arson 
ate  was  53  per  100,000  population. 

Regionally,  the  highest  arson  rate  was  registered  in  the 
Vestern  States  with  64  offenses  per  100,000  population. 
•bllowing  were  the  Northeastern  States  with  a  rate  of  58  per 
00,000,  the  Midwestern  States  with  48  per  100,000,  and  the 
louthern  States  with  46  per  100,000  inhabitants. 


Arson  Rate,  Population  Group,  1986 


[9,345  agencies;   1986  estimated  population 
Rate  per  100,000  inhabitants] 

188,970,000: 

Group 

Rate 

Total    

52.9 

Total  cities 

60.9 

(cities  1,000,000  and  over) 

119.6 

(cities  250,000  to  499,999) 

88.3 

Group  III  (cities  50.000  to  99,999) 

48.7 

Nature 

As  in  previous  years,  structures  were  the  most  frequent 
target  of  arsonists  in  1986  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,  1986 

[12,464  agencies;   1986  estimated  population   192,650,000] 


Property  classification 

Number 

of 
offenses 

Percent 
distribution 

87,585 

47.846 
20,497 
8,096 
4,980 
756 
5,909 
4,737 
2,871 

24,485 
22,578 
1,907 

15,254 

Single  occupancy  residential      

23.4 

5.7 

Communitv/nublic 

Other  structure 

Residential  property  was  involved  in  60  percent  of  the 
structural  arsons  during  the  year,  with  43  percent  of  such 
offenses  directed  at  single-occupancy  dwellings.  Seventeen 
percent  of  all  targeted  structural  property  was  either 
uninhabited  or  abandoned  at  the  time  the  arson  occurred. 

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


37 


Arson,  Structures  Not  in  Use,  1986 


[12,464  agencies;   1986  estimated 

populatio 

n   192,650,000] 

Type  of  structure 

Number 

of 
offenses 

Percent 

47,846 

Single  occupancy  residenlial 

20,497 
8,096 
4,980 
756 
5,909 
4,737 
2,871 

Industrial/manufacturing 

Community/public 

7.4 

The  estimated  value  of  property  damaged  due  to  reported 
arsons  during  1986  totaled  $1.2  billion,  and  the  average  loss 
per  incident  was  $13,198.  The  overall  average  for  all  types  of 
structures  was  $21,969.  While  industrial/manufacturing 
property  showed  the  lowest  number  of  structural  incidents, 
it  registered  the  highest  average  loss — $64,868.  Mobile 
properties  averaged  $3,651  per  incident,  and  other  targets 
averaged  $1,009. 


Clearances 

During  1986,  the  national  arson  clearance  rate  was  15 
percent.  Rural  county  agencies  showed  the  highest  rate, 
clearing  20  percent  of  the  arson  offenses  brought  to  their 
attention.  Suburban  counties  cleared  18  percent;  and  city 
law  enforcement  agencies,  14  percent. 

Regionally,  the  Southern  States  reported  a  clearance  rate 
of  20  percent;  the  Western  States,  15  percent;  the 
Midwestern  States,  1 3  percent;  and  the  Northeastern  States, 
12  percent. 

Arson  clearances  demonstrated  a  higher  percentage  of 
juvenile  involvement  than  any  other  Index  crime.  Only 
young  people  under  age  18  were  the  arrestees  in  35  percent 
of  all  arson  clearances,  as  well  as  for  those  of  structural 
arsons.  Persons  in  this  age  group  accounted  for  20  percent 
of  the  clearances  for  arsons  of  mobile  property  and  55 
percent  of  arsons  of  all  other  property. 


Arson,  Monetary  Value  of  Property  Damaged,  1986 

[12,464  agencies;   1986  estimated  population  192,650,000] 


Property  classification 

Number 

of 
offenses 

Average 

87,585 

$13,198 

Total  stru 

47,846 
20,497 
8,096 
4,980 
756 
5,909 
4,737 
2,871 

24,485 
22,578 
1,907 

15,254 

Sinele  oc<          -v  residential 

Oth             1     tial 

Storage  

Industrial/manufacturing 

45,258 
64,868 

Communitv/Dublic 

Other  structure 

13,790 

Motor  vehi  1  s 

Other  mobile 

Offenses  Cleared  by  Arrest,1  1986 


,464  agencies2;   1986  estimated 

populatio 

n   192,650,000 

Property  classification 

Number 

of 
offenses 

Percent 

by  arrest 

87,585 

al  structure 

ingle  occupancy  residential 
Dther  residential 

47,846 
20,497 
8,096 
4,980 
756 
5,909 
4,737 
2,871 

24,485 
22,578 
1,907 

15,254 

22.5 
22.8 
24.7 

Dther  mobile 

14.1 
17.2 

Includes  offenses  cleared  by  exceptional  means. 

:The  number  of  agencies  used  in  this  table  is  lower  than  the  number  used  in 
)les  20-23.  To  be  included  in  this  table,  it  was  necessary  that  arson  clearances  be 
orted  by  property  classification. 

By  population  grouping,  juveniles  were  the  offenders  in 
percent  of  the  city  arson  clearances,  34  percent  of  those 
suburban  counties,  and  23  percent  of  those  in  the  rural 

unties. 


son  Offenses  Cleared  by  Arrest    of  Persons  under  18  Years 
Age,  1986 


Property  classification 

Total 
clearances 

Percent 
under  18 

15,900 

10,772 
4,675 
1.999 

923 

114 

971 
1,620 

470 

2,498 
2,229 
269 

2,630 

3ther  structure                              

al  mobile    

46.0 
19.8 

Jther  mobile 

31.6 

The  accompanying  tables  show  clearance  data  only  for 
those  12,464  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  (10 
percent)  was  registered  for  motor  vehicles. 
Persons  Arrested 

The  estimated  number  of  arrests  for  arson  during  1986 
totaled  18,700.  Forty  percent  of  the  arrestees  were  under  18 
years  of  age  and  63  percent  were  under  25.  Males  comprised 
86  percent  of  all  arson  arrestees. 

Seventy-five  percent  of  those  arrested  were  white,  24 
percent  were  black,  and  the  remainder  were  of  other  races. 
Eight  percent  of  the  arrestees  were  Hispanic. 

Trends  for  1985  versus  1986  show  arson  arrests  down  3 
percent  nationwide.  They  decreased  4  percent  in  the 
Nation's  cities,  while  those  in  the  rural  counties  increased  4 
percent.  The  volume  of  arson  arrests  in  the  suburban 
counties  showed  no  change. 

Arrests  of  persons  under  the  age  of  1 8  decreased  6  percent 
from  1985  to  1986;  however,  adult  arrests  showed  virtually 
no  change  nationwide.  During  the  same  period,  male  arrests 
for  arson  were  down  3  percent  and  female  arrests,  up  2 
percent. 

The  1986  arson  arrest  total  for  all  ages  decreased  7 
percent  from  the  1982  level  but  was  up  1  percent  from  the 
1977  total. 


'includes  offenses  cleared  by  exceptional  me 
2The  number  of  agencies  used  in  this  table 

lies  20-23.  To  be  included  in  this  table,  it  wi 

orted  by  property  classification. 


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.  The  populations 
of  jurisdictions  with  a  large  influx  of  day  workers,  tourists, 
or  shoppers,  for  example,  may  be  greatly  inflated  during 
given  time  periods.   Since  counts  of  current,  permanent 


population  are  used  in  their  construction,  crime  rates  do  not 
account  for  these  short-term  population  variables.  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,  1986  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. 


•ime  Index  Total 

The  Crime  Index  total  rose  6  percent  to  13.2  million 
Fenses  in  1986,  the  highest  total  since  1981.  Five-  and  10- 
ar  percent  changes  showed  the  1986  total  was  2  percent 
ove  the  1982  level  and  20  percent  higher  than  in  1977. 

All  offenses  comprising  the  Index  increased  in  number 
>m  1985  to  1986.  Overall  violent  crime  was  up  12  percent 
th  murder  and  robbery  both  rising  9  percent;  forcible 
pe,  3  percent;  and  aggravated  assault,  15  percent. 

The  number  of  property  crimes  increased  6  percent  for 
e  2-year  period.  Burglary  and  larceny-theft  each  increased 
percent,  while  motor  vehicle  theft  rose  11  percent. 


Considering  5-  and  10-year  timeframes,  the  1986  violent 
and  property  crime  totals  each  showed  increases  over  the 
1982  figures.  Violent  crime  was  up  13  percent  and  property 
crime,  1  percent.  Compared  to  1977,  the  1986  violent  crime 
was  up  45  percent  and  property  crime,  18  percent.  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,  1977-1986." 
Crime  rates  relate  the  incidence  of  reported  crime  to 
population. 

Table  2,  "Index  of  Crime,  United  States,  1986,"  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. 


ble  1.  —  Index  of  Crime,  United  States,  1977-1986 

Population' 

S 

Modified 
total' 

Violent 

•B 

Murder 
negligent 
slaughter 

Forcible 

Robbery 

Aggra- 

Burglary 

theft 

theft 

*- 

Tiber  of  offenses: 

977-216.332,000 

10,984,500 

1,029,580 

9,955,000 

19,120 

63,500 

412,610 

534.350 

3.071,500 

5,905,700 

977.700 

978-218.059.000 

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 

979-220.099,000   .. 

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 

980-225.349,264 

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 

981-229.146,000 

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 

982-231.534,000 

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 

983-233,981.000 

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 

984-236,158.000 

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 

985-238,740.000 

12,430.400 

1,327,770 

11,102,600 

18,980 

87,670 

497,870 

723,250 

3.073,300 

6,926,400 

1,102,900 

986-241,077.000 

13,210,800 

1,488,140 

11,722,700 

20,610 

90,430 

542,780 

834,320 

3,241,400 

7,257,200 

1,224,100 

:ent  change;  number  of  offenses: 

986/1985 

+6.3 

+  12.1 

+  5.6 

+  8.6 

+3.2 

+9.0 

+  15.4 

+5.5 

+4.8 

+  11.0 

986/1982          

+  1.8 

+  12.5 

+.6 

-1.9 

+  14.8 

-1.9 

+24.6 

-6.0 

+  1.6 

+  15.2 

986/1977 

+20.3 

+44.5 

+  17.8 

+7.8 

+42.4 

+31.5 

+56.1 

+5.5 

+22.9 

+25.2 

e  per  100.000  inhabitants: 

977                                             

5,077.6 

475.9 

4,601.7 

8.8 

29.4 

190.7 

247.0 

1,419.8 

2,729.9 

451.9 

978                                               

5,140.3 

497.8 

4,642.5 

9.0 

31.0 

195.8 

262.1 

1,434.6 

2,747.4 

460.5 

979 

5,565.5 

548.9 

5,016.6 

9.7 

34.7 

218.4 

286.0 

1,511.9 

2,999.1 

505.6 

980 

5,950.0 

596.6 

5,353.3 

10.2 

36.8 

251.1 

298.5 

1.684.1 

3,167.0 

502.2 

981  . 

5,858.2 

594.3 

5.263.9 

9.8 

36.0 

258.7 

289.7 

1,649.5 

3,139.7 

474.7 

982 

5,603.6 

571.1 

5,032.5 

9.1 

34.0 

238.9 

289.2 

1,488.8 

3,084.8 

458.8 

983 

5.175.0 

537.7 

4,637.4 

8.3 

33.7 

216.5 

279.2 

1,337.7 

2,868.9 

430.8 

984 

5.031.3 

539.2 

4.492.1 

7.9 

35.7 

205.4 

290.2 

1,263.7 

2,791.3 

437.1 

985  . 

5,206.7 

556.2 

4,650.5 

7.9 

36.7 

208.5 

302.9 

1.287.3 

2.901.2 

462.0 

986 

5,479.9 

617.3 

4,862.6 

8.6 

37.5 

225.1 

346.1 

1,344.6 

3,010.3 

507.8 

XM  change;  rate  per  100.000  inhabitants: 

986/1985 

+  5.2 

+  11.0 

+4.6 

+8.9 

+2.2 

+8.0 

+  14.3 

+4.5 

+3.8 

+9.9 

986/1982 

-2.2 

+  8.1 

-3.4 

-5.5 

+  10.3 

-5.8 

+  19.7 

-9.7 

-2.4 

+  10.7 

986/1977 

+7.9 

+29.7 

+5.7 

-2.3 

+27.6 

+  18.0 

+40.1 

-5.3 

+  10.3 

+  12.4 

and  are  subject  to  change. 


Populations  are  Bureau  of  the  Census  provisional  estimates  as  of  July   1,  except  April    1.    1980.  preliminary  cen: 
2Because  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. 
4Violent  crimes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault    Property  crimes  are  offenses  of  burglary.  Iarcen>-theft, 
included  for  the  property  crime  of  arson. 
All  rates  were  calculated  on  the  offenses  before  rounding. 


vehicle  theft.  Data 


Provided  in  Table  3,  "Index  of  Crime,  Regional  Offense 
d  Population  Distribution,  1986,"  are  data  showing  the 
ographical  distribution  of  estimated  Index  crimes  and 
pulation.  When  utilizing  figures  presented  on  a  regional 
sis  in  this  publication,  the  reader  is  cautioned  to  consider 


each  region's  proportion  of  the  total  United  States 
population.  For  example,  while  the  Southern  States 
accounted  for  the  largest  volume  of  Crime  Index  offenses  in 
1986,  they  also  represented  the  greatest  regional  population. 


41 


Table  2.  —  Index  of  Crime,  United  States,  1986 


*. 

— 

E£ 

Modified 
tolal; 

Violent 

Property 

Murder 
negligent 

Forcible 

Robbery 

Aggra- 

Burglary 

theft 

theft 

241,077,000 

13,210,844 

5,479.9 

1,488,144 

617.3 

11,722,700 

4.862.6 

20,613 

8.6 

90,434 

37.5 

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 

Rate  per  100,000 
inhabitants 

Metropolitan 

184,130,425 

98.1% 
100.0% 

22,891,469 

94.0% 
100.0% 

34,056,106 

89.4% 
100.0% 

11,354,016 
11,482,370 

6,236.0 

1,031,496 
1.097,216 

4.793.1 

579,263 
631,258 

1.853.6 

1,338,831 
1,348,327 

732.3 

75,047 
80.109 

350.0 

53,966 
59,708 

175.3 

10,015,185 
10,134,043 

5,503.7 

956,449 
1,017,107 

4.443.2 

525,297 
571,550 

1.678.3 

17,528 
17,644 

9.6 

1,077 
1.154 

5.0 

1,588 
1,815 

5.3 

78,614 
79,322 

43.1 

4,735 
5,037 

22.0 

5,566 
6.075 

17.8 

524.355 
526,550 

286.0 

10,395 
11,160 

48.8 

4,581 
5,065 

14.9 

718,334 
724,81! 

393.6 

58,840 
62,758 

274.2 

42.231 
46.753 

137.3 

2,750,912 
2,780,950 

1,510.3 

224,716 
239,368 

1,045.7 

202,985 
221,092 

649.2 

6,135,190 
6,212,875 

3,374.2 

687,229 
730,503 

3,191.2 

288,783 
313,775 

921.3 

1,129.083 
1,140,218 

619.2 

44,504 
47.236 

206.3 

33,529 
36,683 

107.7 

Area  actually  reporting4 

Estimated  totals 

Rate  per  100,000 
inhabitants 

Area  actually  reporting* 

Estimated  totals 

Rate  per  100,000 
inhabitants  

Area  actually  reporting4 

Rate  per  100,000 

Populations  are  Bureau  of  the  Census  provisional  estimates  as  of  July  1,  1986, 

-'Although  arson  data  are  included  in  the  trend  and  clearance  tables,  sufficient 

^Violent  crimes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  i 
not  included  for  the  property  crime  of  arson. 

*The  percentage  representing  area  actually  reporting  will  not  coincide  with  the  ratio  between  reported  and  estimated 
calculations  for  individual  states  which  have  varying  populations,  portions  reporting,  and  crime  rates. 


I  are  subject  to  change, 
are  not  available  to  estimate  totals 
It.  Property  crimes  are  offenses  of  t 


theft    Data  i 
sum  of  the 


Table  3.  —  Index  of  Crime,  Regional  Offense  and  Population  Distribution,  1986 


.„„ 

Population 

total 

Modified 

E? 

W 

Murder 
negligent 
slaughter 

Forcible 
rape 

— 

Aggra- 

Burglary 

theft 

theft 

At 

100.0 

100.0 

100.0 

100.0 

100.0 

100.0 

100.0 

100.0 

100.0 

100.0 

100.0 

Northeastern  States                    

20.7 
24.6 
34.4 
20.2 

17.9 
21.7 
35.9 
24.5 

21.2 
20.4 
34.7 
23.8 

17.5 
21.9 
36.0 
24.6 

16.6 

42.5 
21.8 

15.6 
23.2 
37.2 
23.9 

27.5 
19.5 
30.5 
22.5 

17.7 
20.6 
36.9 

24.7 

16.1 
19.8 
39.0 
25.1 

17.0 
22.8 

35.5 
24.6 

24  0 
21.7 
31.0 
23.3 

Southern  States           

^Although  arson  data  arc  included  in  the  irend  and  clearance  tables,  sufficient  data  are  not  available 
:Violent  cnmes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault    Property  crimes 
not  included  for  the  property  cnme  of  arson. 

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


42 


+  20 
+  10 
0 
-  10 
-20 


CRIME   INDEX  TOTAL 

NUMBER  OF  OFFENSES  KNOWN  UP  2% 

RATE  PER  100,000  INHABITANTS  DOWN  2% 

--^.^ 

■ 

1982 


1983 


1984 


1985 


1986 


Table  4.  —  Index  of  Crime:  Region, 

Geographic  Division,  and  State,  1985-1986 

Cnme  Index  total 

Modified  Crime 

Murder  and  non 
negligent  manslaug 

Population1 

Number 

100,000 

Number 

*oo,ooo 

Number 

100.000 

Number 

100.000 

Number 

fr«i.i 

United  States  Total4 

1985 

238,740,000 

12,430,357 

5,206.7 

1,327,767 

556.2 

ll,102,59fj 

4,650.5 

18,976 

1986 

241,077,000 

13,210,844 

5,479.9 

1,488,144 

617.3 

1 1.722.70C 

4,862.6 

20,613 

Percent  change 

+6.3 

+5.2 

+  12.1 

+  11.0 

+5.6 

+4.6 

+8.6 

Northeast 

1985 

49,859,000 

2,307,124 

4,627.3 

297,369 

596.4 

2,009,755 

4,030.9 

3,064 

1986 

50,018.000 

2,366.805 

4,731.9 

314,753 

629.3 

2,052,052 

4,102.6 

3,412 

Percent  change 

+2.6 

+2.3 

+5.8 

+5.5 

+2.1 

+1.8 

+11.4 

+ 

New  England 

1985 

12,660.000 

568,046 

4,486.9 

51,592 

407.5 

516,454 

4,079.4 

424 

1986 

12,737,000 

573,603 

4,503.4 

53,291 

418.4 

520,312 

4,085.0 

447 

Percent  change 

+  1.0 

+3.3 

+2.7 

+.7 

+  .1 

+5.4 

Connecticut 

1985 

3,174,000 

149,330 

4,704.8 

12,758 

402.0 

136,572 

4,302.8 

120 

1986 

3,189,000 

153,989 

4.828.8 

13,578 

425.8 

140,411 

4.403.0 

148 

Percent  change 

+3.1 

+2.6 

+6.4 

+5.9 

+2.8 

+2.3 

+23.3 

+ 

Maine 

1985 

1,164,000 

42,739 

3,671.7 

1,950 

167.5 

40,789 

3,504.2 

28 

1986 

l,174,OOC 

40,635 

3,461.2 

1,726 

147.0 

38,909 

3,314.2 

23 

Percent  change 

-4.9 

-5.7 

-11.5 

-12.2 

-4.6 

-5.4 

-17.9 

- 

Massachusetts 

1985 

5,822,000 

276,999 

4,757.8 

31,334 

538.2 

245,665 

4,219.6 

202 

1986 

5,832,000 

275,465 

4,723.3 

32,476 

556.9 

242,989 

4,166.5 

208 

Percent  change 

-.6 

-.7 

+  3.6 

+3.5 

-1.1 

-1.3 

+3.0 

New  Hampshire 

1985 

998,000 

32,454 

3,251.9 

1,405 

140.8 

31,049 

3.111.1 

21 

1986 

1,027,000 

34,200 

3,330.1 

1,433 

139.5 

32.767 

3,190.6 

23 

Percent  change 

+  5.4 

+2.4 

+2.0 

-.9 

+5.5 

+2.6 

+9.5 

Rhode  Island 

1985 

968,000 
975,000 

45,723 
47,799 

4.723.5 
4,902.5 

3,355 
3,271 

346.6 
335.5 

42,368 
44,528 

4,376.9 
4,567.0 

35 
34 

Percent  change 

+4.5 

+3.8 

-2.5 

-3.2 

+5.1 

+4.3 

-2,9 

Vermont 

1985 

535,000 

20,801 

3,888.0 

790 

147.7 

20,01 1 

3,740.4 

18 

1986 

541,000 

21,515 

3,976.9 

807 

149.2 

20,708 

3,827.7 

11 

Percent  change 

+3.4 

+2.3 

+2.2 

+  1.0 

+  3.5 

+2.3 

-38.9 

" 

Middle  Atlantic 

1985 

37,199,000 

1,739,078 

4,675.1 

245,777 

660.7 

1,493,301 

4,014.4 

2.640 

1986 

37,281.000 

1.793,202 

4,810.0 

261,462 

701.3 

1,531,740 

4,108.6 

2.965 

Percent  change 

+3.1 

+2.9 

+6.4 

+6.1 

+2.6 

+2.3 

+  12.3 

+ 

New  Jersey  

1985 

7,562,000 

385,239 

5,094.4 

41.172 

544.5 

344,067 

4.549.9 

407 

1986 

7,620,000 

399,387 

5,241.3 

43,623 

572.5 

355,764 

4,668.8 

399 

Percent  change 

+3.7 

+2.9 

+6.0 

+  5.1 

+3.4 

+2.6 

-2.0 

New  York 

1985 

17,783,000 

993,811 

5,588.5 

165,365 

929.9 

828,446 

4,658.6 

1,683 

1986 

17,772,000 

1,025,037 

5.767.7 

175,210 

985.9 

849,827 

4,781.8 

1.907 

Percent  change  -                        

+3.1 

+  3.2 

+6.0 

+6.0 

+2.6 

+2.6 

+  13.3 

+ 

Pennsylvania 

1985 

11,853,000 

360,028 

3,037.4 

39,240 

331.1 

320,788 

2,706.4 

550 

1986 

11,889,000 

368,778 

3.101.8 

42,629 

358.6 

326.149 

2.743.3 

659 

Percent  change  

+2.4 

+2.1 

+8.6 

+8.3 

+  1.7 

+  1.4 

+  19.8 

* 

S<.-e  footnotes  at  end  of  table. 


ble  4.  - 

■  Index  of  Crime:  Region,  Geographic  Division,  and  State,  1985-1986 

Forcible  rape 

Robbery 

Aggravated  assault 

Burglary 

Larcenytheft 

Motor  veh,cle  theft 

W 

dumber 

Rate  per 

100.000 

Number 

100.000 

Number 

100.000 

Number 

100,000 

Number 

WOO? 

Number 

Rate  per 
100.000 

Number 

100,000 

87,671 

36.7 

497,874 

208.5 

723,246 

302.9 

3,073,348 

1,287.3 

6,926,380 

2,901.2 

1,102,862 

462.0 

90,434 

37.5 

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 

+3.2 

+2.2 

+9.0 

+8.0 

+15.4 

+14.3 

+5.5 

+4.5 

+4.8 

+3.8 

+  11.0 

+9.9 

14,227 

28.5 

145,207 

291.2 

134,871 

270.5 

523,599 

1,050.2 

1,215,024 

2,436.9 

271,132 

543.8 

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 

-.6 

-.7 

+2.7 

+2.4 

+9.8 

+9.4 

-.4 

-.7 

+1.8 

+  1.5 

+8.3 

+8.0 

3,211 

25.4 

18,790 

148.4 

29,167 

230.4 

136,626 

1,079.2 

304,374 

2,404.2 

75,454 

596.0 

3,213 

25.2 

19,215 

150.9 

30,416 

238.8 

135,583 

1,064.5 

305,488 

2,398.4 

79,241 

622.1 

+.1 

-.8 

+2.3 

+  1.7 

+4.3 

+3.6 

-.8 

-1.4 

+.4 

-.2 

+  5.0 

+4.4 

763 

24.0 

6,032 

190.0 

5,843 

184.1 

36,041 

1,135.5 

86,524 

2,726.0 

14,007 

441.3 

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 

-.4 

-.8 

+  1.6 

+  1.2 

+  11.9 

+  11.4 

+6.0 

+5.5 

+  1.7 

+  1.2 

+  1.8 

+  1,3 

167 

14.3 

284 

24.4 

1,471 

126.4 

10,607 

911.3 

28,260 

2,427.8 

1,922 

165.1 

174 

14.8 

328 

27.9 

1,201 

102.3 

9,433 

803.5 

27,548 

2,346.5 

1,928 

164.2 

+4.2 

+3.5 

+  15.5 

+  14.3 

-18.4 

-19.1 

-11.1 

-11.8 

-2.5 

-3.3 

+  3 

-.5 

1.734- 

29.8 

10,974 

188.5 

18,424 

316.5 

65,231 

1,120.4 

130,088 

2,234.4 

50,346 

864.8 

1,731 

29.7 

11,239 

192.7 

19,298 

330.9 

62,455 

1,070.9 

127,668 

2,189.1 

52,866 

906.5 

-.2 

-.3 

+2.4 

+2.2 

+4.7 

+4.5 

-4.1 

-4.4 

-1.9 

-2.0 

+5.0 

+4.8 

191 

19.1 

266 

26.7 

927 

92.9 

7,608 

762.3 

21,459 

2,150.2 

1,982 

198.6 

221 

21.5 

242 

23.6 

947 

92.2 

7,754 

755.0 

22,675 

2,207.9 

2,338 

227.7 

+  15.7 

+  12.6 

-9.0 

-11.6 

+2.2 

-.8 

+  1.9 

-1.0 

+5.7 

+2.7 

+  18.0 

+  14.7 

253 

26.1 

1,122 

115.9 

1.945 

200.9 

11,929 

1,232.3 

24,119 

2,491.6 

6,320 

652.9 

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 

-17.4 

-18.0 

+3.1 

+2.4 

-3.8 

-4.5 

+  5.8 

+5.0 

+3.8 

+3.1 

+8.7 

+7.9 

103 

19.3 

112 

20.9 

557 

104.1 

5,210 

973.8 

13,924 

2,602.6 

877 

163.9 

118 

21.8 

120 

22.2 

558 

103.1 

5.135 

949.2 

14,593 

2,697.4 

980 

181.1 

+  14.6 

+  13.0 

+7.1 

+6.2 

+.2 

-1.0 

-1.4 

-2.5 

+4.8 

+3.6 

+  11.7 

+  10.5 

11,016 

296 

126,417 

339.8 

105,704 

284.2 

386,973 

1,040.3 

910,650 

2,448.0 

195,678 

526.0 

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 

-.8 

-1.0 

+2.8 

+2.6 

+  11.3 

+  11.0 

-.3 

-.5 

+  2.3 

+2.0 

+9.6 

+9.4 

2,424 

32.1 

19,282 

255.0 

19,059 

252.0 

79,923 

1,056.9 

213,907 

2,828.7 

50,237 

664.3 

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 

+4.4 

+3.4 

+6.2 

+  5.4 

+6.1 

+5.3 

+2.1 

+  1.3 

+  .5 

-.2 

+  17.6 

+  16.7 

5,706 

32.1 

89,706 

504.4 

68,270 

383.9 

219,633 

1,235.1 

502,276 

2,824.5 

106,537 

599.1 

5,415 

30.5 

91,360 

514.1 

76,528 

430.6 

217,010 

1,221.1 

519,570 

2,923.5 

113,247 

637.2 

-5.1 

-5.0 

+  1.8 

+  1.9 

+  12.1 

+  12.2 

-1.2 

-1.1 

+3.4 

+3.5 

+6.3 

+6.4 

2,886 

24.3 

17,429 

147.0 

18,375 

155.0 

87,417 

737.5 

194,467 

1,640.7 

38,904 

328.2 

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 

+3.4 

+3.3 

+3.8 

+3.5 

+  13.7 

+  13.4 

1 

-" 

+  1.1 

+.8 

+8.3 

+8.0 

45 


Table  4.  —  Index  of  Crime:  Region,  Geographic  Division,  and  State,  1985-1986  —  Continued 


Cnme  Index  total 


Percent  change 
Michigan 

Percent  change 
Ohio 

Percent  change 

Wisconsin 

Percent  change 


West  North  Central 

Percent  change 

Percent  change 

Kansas 

Percent  change 
Minnesota 

Percent  change 

Missouri 

Percent  change 
Nebraska  

Percent  change 
North  Dakota 

Percent  change 
South  Dakota  

Percent  change 

See  footnotes  at  end  of  table 


2,757,340 

2,866,381 

+4.0 

2,047,135 

2,111,232 

+  3.1 


46X.647 

+4.2 

191,798 

196.031 


710.205 
755,149 
+6.3 
113,713 
118,336 


4,657 
4,832.5 

+3.7 
4,916. 
5,058.3 

+2.9 


6,366.3 

6.491.5 

+2.0 

4,187.3 

4,358.7 


+6.2 
3.942.9 
4,150.7 

+  5.3 
4.375 
4.822.6 


HO  2 


272,062 

302,989 

+11.4 

216,058 
240,482 
+  11.3 
81,450 
92,429 
+  13.5 
17,014 
16,937 
-.5 


6,106 
6,703 
+9.8 
8,716 
9.076 


3,821 
4,196 
+9.8 


206.S 
257.9 
+24.6 


1.831,077 

1.870,750 

+2.2 

530,205 

548,311 

+  3.4 

198,220 

195,233 

-1.5 

511,852 


654,201 

692,642 

+5.? 

107,607 

111,633 

+3.7 

98,474 

109,607 

+  11.3 

162.597 

171,832 

+  5.7 

194,247 

206,463 

+6.3 

55,514 

57,418 

+  3.4 

18.032 

17,343 

-3.8 

17.730 

18,346 

+3.5 


4,198.3 

4,321.7 

+2.9 

4,397.2 
4,482.1 

+1.9 
4,596.5 
4,746.0 

+  3.3 
3,604.7 
3,547.1 


3,726.( 
3,940.6 
+  5.7 
3,731.2 
3,915.6 


+5.5 
3,456.7 
3,593.1 

+3.9 
2.632.4 
2,554.2 

-3.C 
2,504.2 
2,511  2 


3,693 
3,941 
+6.7 

2,953 
3,128 
+5.9 


Me  4.  - 

-  Index  of  Crime:  Region,  Geographic  Division,  and  State,  1985-1986  —  Continued 

Forcible  rape 

Robbery 

Aggravated  assault 

Burglary 

Larceny-theft 

Motor  vehicle  theft 

AW 

dumber 

100,000 

Number 

Rate  per 

ioo.ooo 

Number 

100,000 

Number 

100.000 

Number 

100,000 

Number 

100.000 

Number 

Rate  per 

100.000 

20,216 

34.2 

97,492 

164.7 

150,661 

254.5 

631,535 

1,066.8 

1,600,722 

2,704.1 

253,021 

427.4 

21,024 

35.4 

105,910 

178.6 

172,114 

290.2 

641,673 

1,081.8 

1,655,942 

2,791.8 

265,777 

448.1 

+4.0 

+3.5 

+8.6 

+8.4 

+14.2 

+  14.0 

+  1.6 

+1.4 

+3.4 

+3.2 

+5.0 

+4.8 

15,830 

38.0 

82,409 

197.9 

114,866 

275.8 

463,009 

1,111.9 

1,158,133 

2,781.2 

209,935 

504.1 

16,443 

39,4 

88,853 

212.9 

132,058 

316.4 

466,824 

1,118.5 

1,187,578 

2,845.3 

216,348 

518.3 

+3.9 

+3.7 

+7.8 

+7.6 

+  15.0 

+  14.7 

+.8 

+.6 

+2.5 

+2.3 

+  3.1 

+2.8 

3,531 

30.6 

33,120 

287.1 

43,872 

380.3 

131,015 

1,135.8 

331,030 

2,869.8 

68,160 

590.9 

3.740 

32.4 

37,583 

325.3 

50,083 

433.5 

136,306 

1,179.8 

339,418 

2,937.9 

72,587 

628.3 

+5.9 

+5.9 

+  13.5 

+  13.3 

+  14.2 

+  14.0 

+4.0 

+3.9 

+2.5 

+2.4 

+6.5 

+6.3 

1,318 

24.0 

5,065 

92.1 

10,312 

187.5 

50,295 

914.6 

129,861 

2,361.5 

18,064 

328.5 

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 

+  8.0 

+7.9 

-2.2 

-2.3 

-.8 

-.9 

-3.0 

-3.1 

-1.1 

-1.2 

-.2 

-.3 

6,140 

67.6 

26,572 

292.4 

32,984 

362.9 

138,792 

1.527.2 

297,827 

3,277.1 

75,233 

827.8 

6,167 

67.4 

27.550 

301.3 

38,768 

423.9 

138,040 

1,509.5 

308,894 

3,377.7 

73,193 

800.4 

+.4 

-.3 

+3.7 

+3.0 

+  17.5 

+  16.8 

-.5 

-1.2 

+3.7 

+3.1 

-2.7 

-3.3 

3,966 

36.9 

14.301 

133.1 

22.179 

206.4 

104,920 

976.5 

266,066 

2,476.4 

37,896 

352.7 

4,151 

38.6 

15,283 

142.1 

25,231 

234.7 

106,212 

987.8 

276,779 

2,574.2 

40,396 

375.7 

+4.7 

+4.6 

+6.9 

+6.8 

+  13.8 

+  13.7 

+  1.2 

+  1.2 

+4.0 

+3.9 

+6.6 

+6.5 

875 

18.3 

3,351 

70.2 

5,519 

115.6 

37,987 

795.5 

133,349 

2.792.6 

10,582 

221.6 

961 

20.1 

3,483 

72.8 

7,746 

161.9 

37,464 

782.9 

134,083 

2,802.2 

12.145 

253.8 

+9.8 

+9.8 

+3.9 

+3.7 

+40.4 

+40.1 

-1.4 

-1.6 

+  .6 

+  .3 

+  14.8 

+  14.5 

4,386 

25.0 

15,083 

85.9 

35,795 

203.9 

168,526 

960.0 

442,589 

2,521.2 

43,086 

245.4 

4,581 

26.1 

17,057 

97.0 

40,056 

227.9 

174,849 

994.8 

468,364 

2,664.6 

49,429 

281.2 

+4.4 

+4.4 

+  13.1 

+  12.9 

+  11.9 

+  11.8 

+3.8 

+  3.6 

+5.8 

+5.7 

+  14.7 

+  14.6 

363 

12.6 

1,187 

41.2 

4,501 

156.1 

26,349 

913.6 

76,835 

2,664.2 

4,423 

153.4 

356 

12.5 

1,197 

42.0 

5,099 

178.8 

27,255 

956.0 

79,864 

2,801.3 

4,514 

158.3 

-1.9 

+  .8 

+  1.9 

+  13.3 

+  14.5 

+3.4 

+4.6 

+  3.9 

+5.1 

+2.1 

+3.2 

719 

29.3 

1,929 

78.7 

5,947 

242.7 

25,740 

1,050.6 

67,433 

2,752.4 

5,301 

216.4 

810 

32.9 

1,958 

79.6 

6.200 

251.9 

29,229 

1,187.7 

74,029 

3,008.1 

6,349 

258.0 

+  12.7 

+  12.3 

+  1.5 

+  1.1 

+4.3 

+3.8 

+  13.6 

+  13.0 

+9.8 

+9.3 

+  19.8 

+  19.2 

1,242 

29.6 

3,598 

85.8 

5,823 

138.9 

42,663 

1,017.5 

108,954 

2,598.5 

10,980 

261.9 

1,338 

31.8 

4,299 

102.0 

6,249 

148.3 

42,319 

1,004.2 

117,371 

2,785.3 

12,142 

288.1 

+7.7 

+7.4 

+  19.5 

+  18.9 

+7.3 

+6.8 

-.8 

-1.3 

+7.7 

+7.2 

+  10.6 

+  10.0 

1,468 

29.2 

7,425 

147.6 

16,019 

318.5 

55,252 

1,098.7 

120,650 

2,399.1 

18,345 

364.8 

1,480 

29.2 

8,624 

170.2 

18.742 

370.0 

57,556 

1,136.1 

126,674 

2,500.5 

22,233 

438.9 

+.8 

+  16.1 

+  15.3 

+  17.0 

+  16.2 

+4.2 

+  3.4 

+5.0 

+4.2 

+21.2 

+20.3 

376 

23.4 

779 

48.5 

2,619 

163.1 

11.730 

730.4 

41,278 

2,570.2 

2,506 

156.0 

393 

24.6 

817 

51.1 

2.936 

183.7 

11,956 

748.2 

42,784 

2,677.3 

2,678 

167.6 

+4.5 

+5.1 

+4.9 

+5.4 

+  12.1 

+  12.6 

+  1.9 

+2.4 

+3.6 

+4.2 

+6.9 

+74 

50 

7.3 

44 

6.4 

221 

32.3 

2.925 

427.0 

14,297 

2.087.2 

810 

118.2 

79 

11.6 

47 

6.9 

215 

31.7 

2.615 

385.1 

13,914 

2,049.2 

814 

119.9 

+58.0 

+  58.9 

+6.8 

+7.8 

-2.7 

-1.9 

-10.6 

-9.8 

-2.7 

-1.8 

+.5 

+  1.4 

168 

23.7 

121 

17.1 

665 

93.9 

3,867 

546.2 

13,142 

1,856.2 

721 

101.8 

125 

17.7 

115 

16.2 

615 

86.9 

3,919 

553.5 

13,728 

1,939.0 

699 

98.7 

-25.6 

-25.3 

-5.0 

-5.3 

-7.5 

-7.5 

+  1.3 

+  1.3 

+4.5 

+4.5 

-3.1 

-3.0 

Table  4.  —  Index  of  Crime:  Region, 

Geographic  Division,  and  State,  1985-1986 — Continued 

Year 

Crime  Index  total 

Modified  Crime 
Index  total2 

Violent 

~nme> 

Property 

cnme> 

Murder  and  non-  ' 
negligent  manslaughtf 

Area 

Population 

NumKr 

100,000 

Number 

Rate  per 
100,000 

Number 

Rate  per 
100.000 

Number 

100.000 

Number 

Rale  pel 
KlO.OOO 

1985 

81,858,000 

4,302,605 
4,737,997 

5,256.2 
5,709.5 

457,006 
516,005 

558.3 
621.8 

3,845,599 
4,221,992 

4,697.9 

5,087.7 

8,160 

8,760 

10 

P             hanse 

1985 

+10.1 

2.162,279 
2.342,072 

+8.6 

5,375.2 
5,724.1 

+12.9 

254,286 
279,966 

+11.4 

632.1 
684.2 

+9.8 

1,907,993 
2,062.106 

+8.3 

4,743.1 
5,039.9 

+7.4 

3,743 
4,014 

+6 

40,227.000 

Percent  change 

1985 

622,000 

+8.3 
30,859 

+6.5 
4,961.3 

+  10.1 
2,695 

+8.2 
433.3 

+8.1 
28,164 

+6.3 
4,528.0 

+7.2 
30 

633,000 

30,584 

4,831.6 

2,703 

427.0 

27,881 

Percent  change 

1985 

626,000 

-.9 
50,123 
52,204 

-2.6 
8,006.9 
8,339.3 

+.3 
10,179 
9,423 

-1.5 
1,626.0 
1,505.3 

-1.0 
39,944 
42,781 

-2.7 
6,380.8 
6,834.0 

147 
194 

2. 

1985 
1986 

+4.2 
860,889 
960,664 

+4.2 
7,574.2 
8,228.4 

-7.4 
106,971 
121,013 

-7.4 
941.1 
1,036.5 

+7.1 
753,918 
839,651 

+7.1 
6,633.1 
7,191.9 

+32.0 

1,296 
1,371 

+  3 

Fl  rida             g 

1 1,366,000 
11,675,000 

1 

Percent  change 

1985 

5.976,000 

+  11.6 
305,381 
332,999 

+  8.6 
5,110.1 
5,455.4 

+  13.1 
30,311 
35,869 

+  10.1 
507.2 
587.6 

+  11.4 
275,070 
297,130 

+8.4 
4.602.9 
4.867.8 

620 

686 

11 

1 

Percent  change 

1985 
1986 

4..192.000 
4,463,000 

+9.0 
235,973 
250,008 

+6.8 
5,372.8 
5,601.8 

+  18.3 
36,655 

37,177 

+  15.9 
834.6 
833.0 

+  8.0 
199,318 
212,831 

+5.8 
4,538.2 
4,768.8 

+  10.6 
348 
401 

+ 

Percent  change 

1985 
1986 

6,255,000 
6,331,000 

+5.9 
257,792 
274,249 

+4.3 
4,121.4 
4,331.8 

+  1.4 
26.327 
30,128 

-.2 
420.9 

475.9 

+6.8 
231,465 
244,121 

3,700.5 
3,856.0 

520 
515 

+  1 

North  Car  ill  1 1" 

P    cent  chance 

1985 

3,347,000 

+6.4 
162,013 

+  5.1 
4,840.5 

+  14.4 

21.121 

+  13.1 
631.0 

+  5.5 
140,892 

4,209.5 

304 

- 

3,378,000 

173,541 

5,137.4 

22,789 

674.6 

150,752 

Percent  chance 

1985 

5,706,000 
5,787,000 

+7.1 
215,634 
223,366 

+6.1 
3,779.1 
3,859.8 

+7.9 
16.813 
17,708 

+6.9 
294.7 
306.0 

+7.0 
198,821 
205,658 

+6.0 
3,484.4 
3,553.8 

405 
411 

Percent  -hanee 

+  3.6 

+2.1 

+5.3 

+3.8 

+  3.4 

West  Virginia 

1985 

1,936,000 

43,615 

2,252.8 

3,214 

166.0 

40,401 

2,086.8 

1986 

1,919,000 

44,457 

2,316.7 

3,156 

164.5 

Percent  change     

+  1.9 

+2.8 

-1.8 

+" 

1985 

15,122,000 

552,077 

3,650.8 

59,453 

393.2 

492,624 

3,257.7 

1,357 

1986 

15,209,000 

594,672 

3.910.0 

68,198 

448.4 

Percent  change 

1985 

4,021,000 

+7.7 
158,513 

+7.1 

3,942.1 

+  14.7 
18,398 

+  14.0 

457.5 

+6.9 
140,115 

3.484.6 

396 

1986 

4,053,000 

173,807 

4,288.4 

22,616 

558.0 

Percent  change 

1985 

3,726.000 
3,728,000 

+9.6 
109,812 

115.277 

+8.8 
2,947.2 
3.092.2 

+22.9 
11.384 
12,467 

+22.0 
305.5 
334.4 

98,428 
102,810 

2,641.7 
2,757.8 

256 
248 

Percent  change 

1985 

2,613.000 
2.625,000 

+5.0 
85,333 
87,808 

3,265.7 
3,345.1 

+9.5 
7,079 
7,196 

+9.5 
270.9 
274.1 

+4.5 
78.254 
80,612 

2,994.8 
3,070.9 

276 
295 

Percent  change 

4,762,000 

+2.9 
198,419 

4,166.7 

+  1.7 
22,592 

+  1.2 

474.4 

+  3.0 
175.827 

+2.5 
3,692.3 

429 

217.780 

4.534.2 

25,919 

539.6 

191,861 

P              h 

+9.8 

+8.8 

+  14.7 

+  13.7 

+9.1 

+8.2 

1985 

26,510,000 

1,588,249 

5.991.1 

143,267 

540.4 

1.444,982 

5,450.7 

3.060 

1,801.253 

6.705.S 

167,841 

624.9 

Percent  change 

2.359.00C 

+  13.4 
84,571 

+  11.9 
3,585.0 

+  17.2 
8,199 

+  15.6 
347.6 

+  13.0 
76,372 

+  11.6 
3,237.5 

187 

2,372,OOC 

93,094 

3,924.7 

9,365 

394.8 

83,729 

Percent  change 

4.481.00C 

+  10.1 
249,303 

+9.5 
5,563.6 

+  14.2 
31,108 

+  13.6 
694.2 

218,195 

4,869.3 

487 

4,501,00C 

273,572 

6,078.0 

34,128 

758.2 

Percent  change 

+9.7 
179.080 

+9.2 
5.425.0 

+9.7 
13,930 

+9.2 
422.0 

+97 
165.15C 

+9.3 
5,003.0 

254 

+ 

1986 

3,305,OOC 

198,765 

6,014.1 

14,423 

436.4 

184,342 

5,577.7 

Percent  change 

16.370.OOC 

+  11.0 
1,075,295 

+  10.9 
6.568.7 

+3.5 
90,030 

+  3.4 
550.0 

985,26. 

6,018.7 

2,132 

T 

16.682.0OC 

1,235,822 

7,408. 

109,925 

658.9 

1,125,89' 

Percent  change 

+  14.9 

+  12.8 

+  19.8 

+  14.. 

+  12.1 

le  4.- 

-  Index  of  Crime:  Region,  Geographic  Division,  and  State,  1985-1986 — Continued 

Forcible  rape 

Robbery 

Aggravated  assault 

Burglary 

Larceny-theft 

Motor  vehicle  theft 

Arsorr 

umber 

Rale  per 

100.000 

Number 

100.000 

Number 

100.000 

Number 

100,000 

Number 

Rate  per 

100,000 

Number 

100.000 

Number 

Rate  per 

100.000 

32,401 

39.6 

141,739 

173.2 

274,706 

335.6 

1,127,199 

1,377.0 

2,390,226 

2,920.0 

328,174 

400.9 

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 

+3.9 

+2.5 

+  16.8 

+15.2 

+12.1 

+  10.6 

+12.1 

+  10.6 

+7.9 

+6.4 

+15.8 

+  14.2 

15,707 

39.0 

79,083 

196.6 

155.753 

387.2 

550,010 

1,367.3 

1,214,149 

3,018.2 

143,834 

357.6 

16,425 

40.1 

90.770 

221.8 

168,757 

412.4 

602,885 

1.473.5 

1.292,494 

3,158.9 

166,727 

407.5 

+4.6 

+2.8 

+  14.8 

+  12.8 

+8.3 

+6.5 

+9.6 

+7.8 

+6.5 

+4.7 

+  15.9 

+  14.0 

296 

47.6 

773 

124.3 

1,596 

256.6 

6,826 

1,097.4 

19,638 

3,157.2 

1,700 

273.3 

360 

56.9 

786 

124.2 

1,526 

241.1 

6,598 

1,042.3 

19,562 

3,090.4 

1,721 

271.9 

+21.6 

+  19.5 

+  1.7 

-.1 

-4.4 

-6.0 

-3.3 

-5.0 

-.4 

-2.1 

+  1.2 

-.5 

337 

53.8 

5.236 

836.4 

4,459 

712.3 

10,008 

1.598.7 

24,911 

3,979.4 

5,025 

802.7 

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 

-2.7 

-26 

-9.9 

-9.9 

-6.2 

-6.2 

+8.1 

+8.1 

+3.8 

+3.8 

+21.5 

+21.5 

6,004 

52.8 

35.506 

312.4 

64.165 

564.5 

228,402 

2,009.5 

465,792 

4,098.1 

59,724 

525.5 

6.152 

52.7 

42,822 

366.8 

70,668 

605.3 

259,331 

2,221.3 

510,496 

4,372.6 

69,824 

598.1 

+2.5 

-.2 

+20.6 

+  17.4 

+  10.1 

+7.2 

+  13.5 

+  10.5 

+9.6 

+6.7 

+  16.9 

+  13.8 

2,587 

43.3 

9.812 

164.2 

17,292 

289.4 

81,070 

1,356.6 

171.950 

2,877.3 

22,050 

369.0 

2,678 

43.9 

13.056 

213.9 

19,449 

318.6 

88,695 

1.453.1 

182,171 

2,984.5 

26,264 

430.3 

+3.5 

+  1.4 

+33.1 

+30.3 

+  12.5 

+  10.1 

+9.4 

+7.1 

+  5.9 

+3.7 

+  19.1 

+  16.6 

1.700 

38.7 

13,272 

302.2 

21,335 

485.8 

52,995 

1.206.6 

126,077 

2,870.6 

20,246 

461.0 

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 

+  14.4 

+  12.7 

+2.2 

+  .6 

-.3 

-1.9 

+4.9 

+3.2 

+5.4 

+3.7 

+20.2 

+  18.3 

1,488 

23.8 

4,893 

78.2 

19,426 

310.6 

71.985 

1.150.8 

147,530 

2,358.6 

11,950 

191.0 

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 

+  12.4 

+  10.9 

+  13.4 

+  12.1 

+  15.3 

+  13.8 

+7.7 

+6.4 

+4.0 

+2.7 

+  10.3 

+9.1 

1,385 

41.4 

3.143 

93.9 

16.289 

486.7 

41.955 

1,253.5 

90,260 

2,696.7 

8.677 

259.2 

1,395 

41.3 

3.361 

99.5 

17.742 

525.2 

45,276 

1.340.3 

96,122 

2,845.8 

9,344 

276.6 

+.7 

-.2 

+6.9 

+6.0 

+8.9 

+7.9 

+7.9 

+6.9 

+6.5 

+5.5 

+7.7 

+6.7 

1.551 

27.2 

5.720 

100.2 

9,137 

160.1 

44,797 

785.1 

142,800 

2,502.6 

11,224 

196.7 

1,533 

26.5 

6.118 

105.7 

9,646 

166.7 

47,021 

812.5 

145,935 

2,521.8 

12,702 

219.5 

-1.2 

-2.6 

+7.0 

+5.5 

+  5.6 

+4.1 

+  5.0 

+3.5 

+2.2 

+.8 

+  13.2 

+  11.6 

359 

18.5 

728 

37.6 

2,054 

106.1 

11,972 

618.4 

25.191 

1,301.2 

3,238 

167.3 

362 

18.9 

787 

41.0 

1,893 

98.6 

11.999 

625.3 

26,055 

1,357.7 

3.247 

169.2 

+.8 

+2.2 

+8.1 

+9.0 

-7.8 

-7.1 

+.2 

+  1.1 

+3.4 

+4.3 

+.3 

+  1.1 

4,610 

30.5 

17,307 

114.4 

36,179 

239.2 

152,615 

1.009.2 

295,236 

1,952.4 

44,773 

296.1 

4,944 

32.5 

19,274 

126.7 

42.527 

279.6 

169,590 

1.115.1 

308,811 

2,030.4 

48.073 

316.1 

+7.2 

+6.6 

+  11.4 

+  10.8 

+  17.5 

+  16.9 

+  11.1 

+  10.5 

+4.6 

+4.0 

+7.4 

+6.8 

1,079 

26.8 

4,237 

105.4 

12.686 

315.5 

41.612 

1,034.9 

88,108 

2.191.2 

10.395 

258.5 

1,150 

28.4 

4,523 

111.6 

16,534 

407.9 

46.974 

1.159.0 

93,396 

2,304.4 

10.821 

267.0 

+6.6 

+6.0 

+6.8 

+5.9 

+30.3 

+29.3 

+  12.9 

+  12.0 

+6.0 

+5.2 

+4.1 

+3.3 

806 

216 

2,821 

75.7 

7.501 

201.3 

28,739 

771.3 

62,491 

1,677.2 

7,198 

193.2 

860 

23.1 

3.076 

82.5 

8,283 

222.2 

30,725 

824.2 

64,882 

1.740.4 

7,203 

193.2 

+6.7 

+6.9 

+9.0 

+9.0 

+  10.4 

+  10.4 

+6.9 

+6.9 

+3.8 

+3.8 

+.1 

698 

26.7 

1,635 

62.6 

4,470 

171.1 

26,701 

1,021.9 

47,478 

1,817.0 

4,075 

156.0 

678 

25.8 

1.697 

64.6 

4,526 

172.4 

28,242 

1,075.9 

48,430 

1,845.0 

3,940 

150.1 

-2.9 

-3.4 

+3.8 

+3.2 

+  1.3 

+.8 

+5.8 

+  5.3 

+2.0 

+  1.5 

-3.3 

-3.8 

2,027 

42.6 

8,614 

180.9 

11,522 

242.0 

55,563 

1.166.8 

97,159 

2,040.3 

23,105 

485.2 

2,256 

47.0 

9,978 

207.7 

13,184 

274.5 

63,649 

1,325.2 

102,103 

2,125.8 

26,109 

543.6 

+  11.3 

+  10.3 

+  15.8 

+  14.8 

+  14.4 

+  13.4 

+  14.6 

+  U.6 

+  5.1 

+4.2 

+  13.0 

+  12.0 

12.084 

45.6 

45,349 

171  1 

82.774 

312.2 

424,574 

1.601.6 

880,841 

3,322.7 

139,567 

526.5 

12.301 

45.8 

55,503 

206.6 

96.744 

360.2 

490,981 

1,827.9 

977,356 

3,638.6 

165,075 

614.6 

+  1.8 

+.4 

+22.4 

+20.7 

+  16.9 

+  15.4 

+  15.6 

+  14.1 

+  11.0 

+9.5 

+  18.3 

+  16.7 

686 

29.1 

1,617 

68.5 

5,709 

242.0 

22,207 

941.4 

49,957 

2,117.7 

4,208 

178.4 

686 

28.9 

1.890 

797 

6.598 

278.2 

24,429 

1,029.9 

54,677 

2,305.1 

4,623 

194.9 

-.7 

+  16.9 

+  16.4 

+  15.6 

+  15.0 

+  10.0 

+94 

+9.4 

+8.8 

+9.9 

+9.2 

1.782 

39.8 

8,526 

190.3 

20.313 

453.3 

59,326 

1,323.9 

141.739 

3,163.1 

17,130 

382.3 

1,806 

40.1 

10,071 

223.8 

21,676 

481.6 

65,751 

1,460.8 

153,818 

3,417.4 

19,875 

441.6 

+  1.3 

+.8 

+  18.1 

+  176 

+6.7 

+6.2 

+  10.8 

+  10.3 

+8.5 

+8.0 

+  16.0 

+  15.5 

1,252 

37.9 

3,526 

106.8 

8,898 

269.6 

53.216 

1.612.1 

93,233 

2,824.4 

18,701 

566.5 

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 

-4.0 

^».0 

-.1 

-.3 

+6.0 

+  5.9 

+  11.0 

+  10.8 

+  11.4 

+  11.2 

+  14.7 

+  14.6 

8,364 

51.1 

31.680 

193.5 

47,854 

292.3 

289,825 

1.770.5 

595,912 

3,640.3 

99,528 

608.0 

8,607 

516 

40.021 

239.9 

59,039 

353.9 

341,747 

2,048.6 

665,029 

3,986.5 

119,121 

714.1 

+2.9 

+  1.0 

+26.3 

+24.0 

+23.4 

+21.1 

+  17.9 

+  15.7 

+  11.6 

+9.5 

+  19.7 

+  17.5 

Table  4.  —  Index  of  Crime:  Region,  Geographic  Division,  and  State,  1985-1986 — Continued 


Cnme  Index 


Violent  cnme 


Percent  change 

Colorado 

Percent  change 
Idaho 

Percent  change 
Montana 

Percent  change 
Nevada 


Percent  change 
Wyoming 


Percent  change 
Alaska 

Percent  change 
California 

Percent  change 

Hawaii 

Percent  change 
Oregon 

Percent  change 
Washington 

Percent  change 

Puerto  Rico6 

Percent  change 


3,063,288 

3,239,661 

+5.8 

790,696 

823,332 

+4.1 


+7.1 
223,555 
229,731 
+2.8 
39,276 
42,196 


6,405.1 

6,644.2 

+3.7 

6,182.6 

6.323.1 

+  2.3 

7,116.2 


+  7-1 


+2.2 
5,317.3 
5,478.4 

+  3.0 
4,015. 
4,357.2 

+8.5 


1,416,329 

+6.3 

30,619 

33,353 

+8.9 

.718,473 

,824,669 

+6.2 

54,814 

60,230 

+9.9 

180,830 

191,037 

+  5.6 

287,856 

307,040 


6,486.3 
6,76 

+4.2 
5,877.0 
6,245.9 

+6.3 
6,518.0 
6,762.8 

+  3.8 
5,200.6 


+5.2 
6,528.8 
6,879.7 


301,330 

354,397 

+  17.6 

60,659 
66,042 


630.1 
726.8 
+15.3 

474.3 
507.2 
+6.9 

602.5 
658.3 
+9.3 
471.0 


2,761,958 

2,885,264 

+4.5 

730,037 

757,290 

+3.7 

207,591 

221,015 

+6.5 

208,336 

212,626 

+2.1 

36,916 

39,964 

+8.3 

35,855 

35,393 

-1.3 


19,130 
20,605 

+7.7 


3,0 

+.5 

201,763 

248,370 

+23. 

2,313 

2,604 

+  12.6 


+4.7 

27,588 

30,307 

+9.9 

:.516,710 

1,576,299 

+3.9 

52,501 

57,626 

+9.8 

166,023 

176,207 

+6.1 

269.099 

287.535 

+6.9 


22,352 
25,843 


93,587        2,760. 
92,472        2,728J 


'Populations  are  Bureau  of  the  Census  provisional  estimates  as  of  July  1.   1985  and  1986.  and  are  subject  to  change. 

2Although  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  ar 
not  included  for  the  property  cnme  of  arson. 

'Forcible  rape  figures  furnished  by  the  stale-level  Uniform  Crime  Reporting  (UCR)  Program  administered  by  the  Illinois  Department  of  State  Police  were  not  in  accordance 
with  National  UCR  guidelines.  The  1986  forcible  rape  totals  for  most  agencies  in  Illinois  were,  therefore  estimated  using  the  national  rate  of  forcible  rapes  when  grouped  by  like 
agencies.  See  "Offense  Estimation"  page  4  for  details. 

'Includes  offenses  reported  by  the  Zoological  Police. 

^Population  and  offense  data  are  not  included  in  totals. 

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


le  4.- 

-  Index  of  Crime:  Region,  Geographic  Division,  and  State,  1985-1986 — Continued 

Forc.b 

Robbery 

Aggravated  assault 

Burglary 

Larceny-theft 

Motor  vehtcle  tbef, 

Arson' 

umber 

Rate  per 
100.000 

Number 

100,000 

Number 

Rate  per 

100.000 

Number 

100.000 

Number 

100.000 

Number 

Rate  per 

100,000 

Number 

100.000 

20,827 

43.5 

113,436 

237.2 

163,008 

340.8 

791,015 

1,653.9 

1,720,408 

3,597.2 

250,535 

523.8 

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 

+3.7 

+  1.8 

+7.7 

+5.6 

+26.4 

+24.0 

+3.0 

+  1.0 

+3.8 

+1.8 

+13.7 

+  11.5 

4,911 

38.4 

14,710 

115.0 

40,199 

314.3 

193,587 

1,513.7 

491,638 

3,844.2 

44,812 

350.4 

5,000 

38.4 

16,488 

126.6 

43,590 

334.8 

200,471 

1,539.6 

509,225 

3,910.8 

47,594 

365.5 

+  1.8 

+  12.1 

+  10.1 

+8.4 

+6.5 

+3.6 

+  1.7 

+3.6 

+  1.7 

+6.2 

+4.3 

1,458 

45.7 

4,670 

146.5 

12,820 

402.3 

59,585 

1,869.6 

135,720 

4,258.6 

12,286 

385.5 

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 

-2.3 

-5.9 

+20.2 

+  15.5 

+  13.0 

+8.6 

+6.2 

+2.0 

+6.0 

+  1.8 

+  13.1 

+8.6 

1,321 

40.9 

4,012 

124.2 

9,697 

300.1 

56,480 

1,748.1 

137,868 

4,267.0 

13,988 

432.9 

1,382 

42.3 

4,731 

144.8 

10,762 

329.4 

58,531 

1,791.6 

138,219 

4,230.8 

15,876 

486.0 

+4.6 

+3.4 

+  17.9 

+  16.6 

+  11.0 

+9.8 

+3.6 

+2.5 

+  .3 

-.8 

+  13.5 

+  12.3 

192 

19.1 

269 

26.8 

1,877 

186.8 

8,917 

887.3 

26,170 

2,604.0 

1.829 

182.0 

201 

20.0 

214 

21.3 

1,785 

178.0 

10,065 

1,003.5 

28,081 

2,799.7 

1.818 

181.3 

+4.7 

+4.7 

-20.4 

-20.5 

^t.9 

-4.7 

+  12.9 

+  13.1 

+7.3 

+  7.5 

-.6 

-.4 

159 

19.2 

173 

20.9 

1,342 

162.5 

6,835 

827.5 

26,746 

3,238.0 

2,274 

275.3 

142 

17.3 

160 

19.5 

963 

117.6 

6,491 

792.6 

27,142 

3,314.0 

1,760 

214.9 

-10.7 

-9.9 

-7.5 

-6.7 

-28.2 

-27.6 

-5.0 

-42 

+  1.5 

+2.3 

-22.6 

-21.9 

564 

60.3 

2,573 

274.9 

3,011 

321.7 

17,312 

1,849.6 

33,336 

3,561.5 

4,646 

496.4 

625 

64.9 

2,763 

286.9 

3,414 

354.5 

15.446 

1,603.9 

33,601 

3,489.2 

4,600 

477,7 

+  10.8 

+7.6 

+7.4 

+4.4 

+  13.4 

+  10.2 

-10.8 

-13.3 

+  .8 

-2.0 

-1.0 

-3.8 

722 

49.8 

2,003 

138.1 

7,324 

505.1 

25,432 

1,753.9 

53,398 

3,682.6 

5,013 

345.7 

693 

46.9 

1,916 

129.5 

7,952 

537.7 

27,283 

1,844.7 

54,906 

3,712.4 

5,077 

343.3 

-4.0 

-5.8 

^.3 

-6.2 

+8.6 

+6.5 

+7.3 

+  5.2 

+2.8 

+  .8 

+  1.3 

-.7 

381 

23.2 

908 

55.2 

3,059 

186.0 

15,511 

942.9 

63,668 

3,870.4 

3,893 

236.7 

421 

25.3 

976 

58.6 

2,991 

179.6 

15,233 

914.9 

67,825 

4,073.6 

3,716 

223.2 

+  10.5 

+9.1 

+7.5 

+6.2 

-2.2 

-3.4 

-1.8 

-3.0 

+6.5 

+5.3 

^1.5 

-5.7 

114 

22.4 

102 

20.0 

1,069 

210.0 

3,515 

690.6 

14,732 

2,894.3 

883 

173.5 

111 

21.9 

114 

22.5 

1,234 

243.4 

4,144 

817.4 

15.606 

3,078.1 

855 

168.6 

-2.6 

-2.2 

+  11.8 

+  12.5 

+  15.4 

+  15.9 

+  17.9 

+  18.4 

+  5.9 

+6.4 

-3.2 

-2.8 

15,916 

45.4 

98,726 

281.8 

122,809 

350.5 

597,428 

1,705.1 

1,228,770 

3,507.1 

205,723 

587.2 

16,597 

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 

+4.3 

+2.2 

+7.1 

+5.0 

+32.3 

+  29.8 

+2.8 

+  .8 

+3.9 

+  1.9 

+  15.3 

+  13.0 

402 

77.2 

484 

92.9 

2,094 

401.9 

6,209 

1.191.7 

18,220 

3,497.1 

3,159 

606.3 

388 

72.7 

470 

88.0 

2,142 

401.1 

6,204 

1,161.8 

20,879 

3,909.9 

3,224 

603.7 

-3.5 

-5.8 

-2.9 

-5.3 

+2.3 

-.2 

-.1 

-2.5 

+  14.6 

+  11.8 

+2.1 

-.4 

11,421 

43.3 

86,387 

327.7 

101,185 

383.8 

448,506 

1.701.1 

890,967 

3.379.4 

177,237 

672.2 

12,119 

44.9 

92,512 

342.9 

140,701 

521.5 

457,698 

1,696.4 

913,004 

3,383.9 

205,597 

762.0 

+6.1 

+  3.7 

+7.1 

+4.6 

+39.1 

+35.9 

+2.0 

-.3 

+2.5 

+  .1 

+  16.0 

+  13.4 

310 

29.4 

1,048 

99.4 

912 

86.5 

12,164 

1.154.1 

37,357 

3,544.3 

2,980 

282.7 

329 

31.0 

1,129 

106.3 

1,095 

103.1 

14,218 

1,338.8 

39,922 

3,759.1 

3,486 

328.2 

+6.1 

+  5.4 

+7.7 

+6.9 

+20.1 

+  19.2 

+  16.9 

+  16.0 

+6.9 

+6.1 

+  17.0 

+  16.1 

1,363 

50.7 

4,986 

185.6 

8,333 

310.1 

50,690 

1,886.5 

105,725 

3,934.7 

9,608 

357.6 

1,379 

51.1 

5,555 

205.9 

7,718 

286.1 

53,062 

1,966.7 

112,312 

4,162.8 

10,833 

401.5 

+  1.2 

+.8 

+  11.4 

+  10.9 

-7.4 

-7.7 

+4.7 

+4.3 

+6.2 

+5.8 

+  12.7 

+  12.3 

2,420 

54.9 

5,821 

132.0 

10,285 

233.3 

79,859 

1.811.3 

176,501 

4,003.2 

12,739 

288.9 

2,382 

53.4 

6,031 

135.1 

10,869 

243.5 

83,078 

1,861.5 

190,420 

4,266.6 

14,037 

314.5 

-1.6 

-2.7 

+3.6 

+2.3 

+5.7 

+4.4 

+4.0 

+2.8 

+7.9 

+6.6 

+  10.2 

+  8.9 

421 

12.4 

12,857 

379.3 

8,511 

251.1 

40,617 

1.198.1 

34,113 

1,006.3 

18,857 

556.3 

436 

12.9 

16,447 

485.2 

8,353 

246.4 

38,792 

1.144.4 

32,340 

954.1 

21.340 

629.6 

+  3.6 

+4.0 

+27.9 

+27.9 

-1.9 

-1.9 

-A.5 

^1.5 

-5.2 

-5.2 

+  13.2 

+  132 

Table  5.  —  Index  of  Crime,  State,  1986 


Area 

Population 

Sf 

Modified 
Crime 

» 

W 

negligent 

Forcible 
rape 

— 

Aggra- 

Burglary 

"a- 

Motor 

ALABAMA 

Metropolitan  Statistical 

2,574,322 

Area  actually  reporting 

99.2% 

135,459 

17.456 

118,003 

302 

940 

4,126 

12,088 

36,789 

72,076 

9,138 

Estimated  totals 

100.0% 

136,700 

17,630 

119,070 

304 

946 

4,155 

12,225 

37.068 

72,794 

9,208 

Other  Cities 

625,105 

Area  actually  reporting 

97.4% 

27,683 

3,887 

23,796 

57 

127 

280 

3,423 

6.263 

16.487 

1,046 

Estimated  totals 

100.0% 

28,429 

3,992 

24,437 

59 

130 

288 

3.515 

6,432 

16.931 

1,074 

Rural 

853,573 

Area  actually  reporting 

89.6% 

7,779 

891 

6,888 

41 

66 

72 

712 

3,114 

3,291 

483 

Estimated  totals 

100.0% 

8.678 

994 

7,684 

46 

74 

80 

794 

3.474 

3,671 

539 

State  Total 

4,053,000 

173,807 

22,616 

151,191 

409 

1,150 

4,523 

16,534 

46,974 

93,396 

10,821 

Rate  per  100,000 

inhabitants 

4.288.4 

558.0 

3,730.3 

10.1 

28.4 

111.6 

407.9 

1,159.0 

2,304.4 

267.0 

ALASKA 

Metropolitan  Statistical 

238,235 

Area  actually  reporting 

100.0% 

16,479 

1,198 

15,281 

17 

167 

330 

684 

2,824 

11,071 

1,386 

Other  Cities 

134,739 

Area  actually  reporting 

94.1% 

9.881 

992 

8,889 

9 

104 

92 

787 

1.366 

6,338 

1.185 

Estimated  totals 

100.0% 

10,505 

1,056 

9,449 

10 

111 

98 

837 

1.452 

6.737 

1,260 

Rural 

161,026 

Area  actually  reporting 

100.0% 

6,369 

792 

5,577 

19 

110 

42 

621 

1.928 

3.071 

578 

State  Total 

534,000 

33,353 

3,046 

30,307 

46 

388 

470 

2,142 

6,204 

20,879 

3,224 

Rate  per  100,000 

inhabitants       

6,245.9 

570.4 

5,675.5 

8.6 

72.7 

88.0 

401.1 

1.161.8 

3.909.9 

603.7 

ARIZONA 

Metropolitan  Statistical 

Area 

2,509,371 

Area  actually  reporting 

100.0% 

203,956 

18,354 

185,602 

249 

1,242 

5,210 

11,653 

53,427 

120.373 

11.802 

Other  Cities 

435,358 

Area  actually  reporting 

98.1% 

30,171 

2,353 

27,818 

24 

121 

319 

1.889 

6,996 

19.314 

1.508 

Estimated  totals 

100.0% 

30,749 

2,397 

28,352 

24 

123 

325 

1,925 

7,130 

19,685 

1.537 

Rural 

372,271 

Area  actually  reporting 

90.7% 

7,384 

983 

6,401 

31 

54 

72 

826 

2,467 

3,433 

501 

Estimated  totals 

100.0% 

8.145 

1,084 

7,061 

34 

60 

79 

911 

2,721 

3,787 

553 

State  Total 

3,317,000 

242,850 

21,835 

221,015 

307 

1,425 

5,614 

14,489 

63,278 

143,845 

13,892 

Rate  per  100,000 

inhabitants 

7,321.4 

658.3 

6,6631 

9.3 

43.0 

169.2 

436.8 

1,907.7 

4,336.6 

418.8 

ARKANSAS 

Metropolitan  Statistical 

Area         

922,406 

Area  actually  reporting 

100.0% 

55,686 

6,169 

49,517 

95 

458 

1,478 

4.138 

14.080 

32,639 

2,798 

Other  Cities 

570,664 

Area  actually  reporting 

99.7% 

26,197 

2,399 

23,798 

35 

136 

360 

1,868 

6,262 

16,382 

1,154 

Estimated  totals 

100.0% 

26,282 

2,406 

23,876 

35 

136 

361 

1,874 

6,282 

16.436 

1,158 

Rural 

878,930 

Area  actually  reporting 

98.1% 

10,917 

775 

10,142 

60 

90 

50 

575 

3,991 

5,497 

654 

Estimated  totals       

100.0% 

11,126 

790 

10.336 

61 

92 

51 

586 

4,067 

5.602 

667 

State  Total 

2,372,000 

93,094 

9,365 

83,729 

191 

686 

1,890 

6,598 

24,429 

54,677 

4,623 

Rate  per  100,000 

inhabitants 

3,924.7 

394.8 

3,529.9 

8.1 

28.9 

79.7 

278.2 

1.029.9 

2.305.1 

194.9 

CALIFORNIA 

Metropolitan  Statistical 

Area                 

25,826.624 

100.0% 

1,765,788 

241,680 

1,524,108 

2,947 

11,791 

91,818 

135,124 

440,910 

880,617 

202,581 

Other  Cities 

468,960 

Area  actually  reporting 

99.2% 

34,544 

3,173 

31.371 

37 

148 

470 

2,518 

8,554 

21.068 

1.749 

Estimated  totals 

100.0% 

34,819 

3,198 

31.621 

37 

149 

474 

2,538 

8,622 

21.236 

1,763 

Rural 

685,416 

Area  actually  reporting 

100.0% 

24,062 

3,492 

20,570 

54 

179 

220 

3,039 

8,166 

11,151 

1,253 

State  Total 

26,981,000 

1,824,669 

248,370 

1,576,299 

3,038 

12,119 

92,512 

140,701 

457,698 

913,004 

205,597 

Rate  per  100.000 

inhabitants 

6,762.8 

920.5 

5,842.3 

11.3 

44.9 

342.9 

521.5 

1,696.4 

3.383.9 

762.0 

See  footnotes  at  end  of  table 


jle  5.  —  Index  of  Crime,  State,  1986  —  Continued 


Area 

Population 

s? 

Modified 

» 

•B 

negligent 
slaughter 

Forcible 

~> 

Aggra- 

Burglary 

theft 

ti 

Arson' 

COLORADO 

ropolitan  Statistical 

rea 

2,634,199 

Area  actually  reporting 

100.0% 

201,494 

15,636 

185,858 

189 

1,305 

4,592 

9,550 

52.681 

118,591 

14,586 

a  Cities 

293,218 

Area  actually  reporting 

99.6% 

17,324 

867 

16,457 

21 

41 

99 

706 

3,075 

12,764 

618 

Estimated  totals 

100.0% 

17,397 

870 

16,527 

21 

41 

99 

709 

3,088 

12.818 

621 

al               

339,583 

Area  actually  reporting 

100.0% 

10,840 

599 

10,241 

20 

36 

40 

503 

2,762 

6,810 

669 

e  Total 

3,267,000 

229,731 

17,105 

212,626 

230 

1,382 

4,731 

10,762 

58,531 

138,219 

15,876 

Rate  per  100,000 

inhabitants 

7,031.9 

523.6 

6,508.3 

7.0 

42  3 

144.8 

329.4 

1,791.6 

4.230.8 

486.0 

CONNECTICUT 

ropolitan  Statistical 

2.926,544 

Area  actually  reporting 

100.0% 

146.865 

12,936 

133,929 

143 

704 

6.044 

6,045 

35,918 

84,240 

13.771 

r  Cities 

90.197 

Area  actually  reporting 

100.0% 

3,420 

233 

3,187 

2 

24 

42 

165 

892 

2.086 

209 

ll                  

172,259 

Area  actually  reporting 

100.0% 

3,704 

409 

3,295 

3 

331 
6,541 

1.380 
38,190 

1,637 
87,963 

278 
14,258 

e  Total 

3,189,000 

153,989 

13,578 

140,411 

148 

760 

6,129 

Rate  per  100,000 

inhabitants 

4,828.8 

425.8 

4,403.0 

23.8 

1,197.6 

2,758.3 

DELAWARE 

opolitan  Statistical 

rea 

421,216 

Area  actually  reporting 

100.0% 

21,086 

1,712 

19,374 

18 

199 

612 

883 

4,354 

13,619 

1,401 

r  Cities 

67,498 

Area  actually  reporting 

100.0% 

5,041 

413 

4,628 

43 

128 

242 

823 

3.649 

156 

U 

144,286 

Area  actually  reporting 

100.0% 

4,457 

578 

3,879 

13 

118 

46 

401 

1.421 

2,294 

164 

e  Total 

633,000 

30,584 

2,703 

27,881 

31 

360 

786 

1,526 

6,598 

19,562 

1.721 

Rate  per  100,000 

inhabitants 

4,831.6 

427.0 

4,404.6 

4.9 

56.9 

124.2 

241.1 

1,042.3 

3,090.4 

271.9 

ISTRICT  OF  COLUMBIA4 

opolitan  Statistical 

ea 

626,000 

Area  actually  reporting 

100.0% 

52.204 

9,423 

42.781 

194 

328 

4,720 

4,181 

10.815 

25.861 

6,105 

r  Cities 

NONE 

a 

NONE 

e  Total 

626,000 

52,204 

9,423 

42,781 

328 

4,720 

4,181 

10,815 

25,861 

6,105 

Rate  per  100,000 

inhabitants              

8,339.3 

1,5053 

6.834.0 

31.0 

52.4 

754.0 

667.9 

1,727.6 

4.131.2 

975.2 

FLORIDA 

opolitan  Statistical 

ea                 

10,607,557 

Area  actually  reporting 

100.0% 

913,594 

115,114 

798,480 

1,280 

5,732 

41,802 

66,300 

244.196 

486,837 

67.447 

r  Cities 

286,516 

Area  actually  reporting 

99.6% 

19,274 

2.211 

17,063 

29 

100 

496 

1,586 

5,049 

11,212 

802 

Estimated  totals 

100.0% 

19,346 

2.219 

17,127 

29 

100 

498 

1.592 

5.068 

11,254 

805 

J  

780,927 

Area  actually  reporting 

100.0% 

27,724 

3,680 

24,044 

62 

320 

522 

2.776 

10,067 

12.405 

1,572 

e  Total 

11,675,000 

960,664 

121,013 

839,651 

1,371 

42,822 

70,668 

259,331 

510,496 

69,824 

Rate  per  100,000 

inhabitants 

8.228.4 

1,036.5 

7.191.9 

11.7 

52.7 

366.8 

605.3 

2,221.3 

4,372.6 

598.1 

53 


Table  5.  —  Index  of  Crime,  State,  1986  —  Continued 


Murder  an 
negligent 


GEORGIA 

Metropolitan  Statistical 

Area  actually  reporting 
Estimated  totals 

Other  Cities 

Area  actually  reporting 
Estimated  totals 

Rural 

Area  actually  reporting 
Estimated  totals 

State  Total 

Rate  per  100,000 


HAWAII 

Metropolitan  Statistical 

Area  actually  reporting 
Other  Cities 

Area  actually  reporting 
Rural 

Area  actually  reporting 
State  Total 

Rate  per  100,000 
inhabitants  


Metropolitan  Statistical 

Area  actually  reporting 

Other  Cities 

Area  actually  reporting 

Estimated  totals 

Rural 

Area  actually  reporting 

Estimated  totals 

State  Total 

Rate  per  100,000 
inhabitants 

ILLINOIS5 

Metropolitan  Statistical 
Area 

Area  actually  reporting 

Estimated  totals 
Other  Cities 

Area  actually  reporting 

Estimated  totals 
Rural 

Area  actually  reporting 
State  Total 

Rate  per  100,000 
inhabitants 

INDIANA 

Metropolitan  Statistical 
Area 

Area  actually  reporting 

Estimated  totals 

Other  Cities 

Area  actually  reporting 

Estimated  totals 
Rural 

Area  actually  reporting 

Estimated  totals 
State  Total 

Rate  per  100.000 
inhabitants 


3,874.997 
98.8% 
100.0% 
870,903 
93.8% 
100.0% 
1,358,100 
93.5% 
100.0% 
6,104,000 


823,306 
100.0% 
38,094 
100.0% 
200,600 
100.0% 
1,062,000 


189,707 
100.0% 
391.869 

93.8% 
100.0% 
421,424 

99.0% 

100.0% 

1,003,000 


9,450,904 

99.9% 

100.0% 

1,069,195 

98.2% 

100.0% 

1,032,901 

100.0% 

11,553,000 


3.734.050 
85.6% 
100.0% 
626,553 
73.4% 
100.0% 
1,143,397 
51.7% 
100.0% 
5,504,000 


26,997 
28,872 
332,999 


40.455 

2,388 

11,387 
60,230 

5,671.4 


8,604 

16,650 

212,170 


3,031 
3,242 
35,869 


2,232 
222.5 


23.966 
25,630 
297,130 


2,076 

44.379 

82 

2,306 

446 

10,941 

2,604 

57,626 

245.2 

5,426.2 

8,376 
8,464 
39,964 


7,825 

15,142 

195,233 


122 
1,424 


2,173 
2.324 
19,449 


1,129 

106.3 


565 

571 

1,785 

178.0 


37,583 

325.3 


50,083 

433.5 


9,379 
10,030 
88,695 


14,218 

1,338.8 


2,774 
2,803 
10,065 


2,530 
4,896 
48,802 


Index  of  Crime,  State,  1986  —  Continued 


Modified 

Murder  and 

Area 

Population 

Index 

S3 

?rj 

negligent 
slaughter 

Forcible 

Robbery 

Aggra- 

Burglary 

Larceny- 
theft 

Motor 
theft 

Arson' 

IOWA 

ropolitan  Statistical 

1,210,418 

Area  actually  reporting 

100.0% 

76,708 

5,134 

71,574 

31 

293 

1.049 

3,761 

17.827 

50.837 

2,910 

er  Cities 

681,043 

Area  actually  reporting 

100.0% 

29,118 

1,295 

27,823 

10 

37 

126 

1,122 

5.508 

21,248 

1.067 

al 

959,539 

Area  actually  reporting 

100.0% 

12,510 

274 

12,236 

10 

26 

22 

216 

3,920 

7,779 

537 

e  Total 

2,851,000 

118,336 

6,703 

111,633 

51 

356 

1.197 

5,099 

27,255 

79,864 

4,514 

Rate  per  100,000 

inhabitants 

4,150.7 

235.1 

3,915.6 

1.8 

12.5 

42.0 

178.8 

956.0 

2,801.3 

158.3 

KANSAS 

ropolitan  Statistical 

1.235,337 

Area  actually  reporting 

99.8% 

79.066 

6.540 

72,526 

76 

603 

1.736 

4.125 

19,922 

47.676 

4.928 

Estimated  totals 

100.0% 

79,171 

6.545 

72,626 

76 

603 

1,737 

4,129 

19,943 

47.750 

4.933 

r  Cities 

685,126 

Area  actually  reporting 

96.6% 

30,695 

1,932 

28,763 

14 

149 

185 

1,584 

6,350 

21,421 

992 

Estimated  totals       

100.0% 

31,771 

1,999 

29,772 

14 

154 

191 

1,640 

6,573 

22,172 

1,027 

il 

540,537 

Area  actually  reporting 

100.0% 

7,741 

532 

7,209 

18 

53 

30 

431 

2,713 

4.107 

389 

e  Total 

2,461,000 

118,683 

9,076 

109,607 

108 

810 

1,958 

6,200 

29,229 

74,029 

6,349 

Rate  per  100,000 

inhabitants 

4,822.6 

368.8 

4,453.8 

32.9 

79.6 

251.9 

KENTUCKY 

1,693,685 

Area  actually  reporting 

99.6% 

75,933 

7,185 

68,748 

126 

482 

2,668 

3.909 

19,134 

45,023 

4,591 

Estimated  totals 

100.0% 

76,274 

7,213 

126 

483 

3,930 

19.203 

45,251 

4.607 

T  Cities 

602,113 

Area  actually  reporting 

99.9% 

21,007 

2,090 

18,917 

23 

139 

223 

1,705 

4,771 

13,013 

1,133 

Estimated  totals 

100.0% 

21,033 

2,092 

18,941 

23 

139 

223 

1,707 

4,777 

13,030 

1,134 

il 

1,432,202 

Area  actually  reporting 

99.2% 

17,834 

3,138 

14,696 

98 

236 

178 

2,626 

6,694 

6,551 

1,451 

Estimated  totals 

100.0% 

17,970 

3,162 

14,808 

99 

238 

179 

2,646 

6.745 

6.601 

1,462 

e  Total 

3,728,000 

115,277 

12,467 

102,810 

248 

860 

3,076 

8,283 

30,725 

64,882 

7,203 

Rate  per  100,000 

inhabitants  

3,092.2 

334.4 

2,757.8 

6.7 

23.1 

82.5 

222.2 

824.2 

1,740.4 

193.2 

LOUISIANA 

opolitan  Statistical 

ea 

3,107,027 

Area  actually  reporting 

91.1% 

216,629 

27,188 

189,441 

459 

1,426 

9,286 

16,017 

51.716 

119,784 

17.941 

Estimated  totals 

100.0% 

232,548 

28,778 

203,770 

477 

1.510 

9,597 

17.194 

55,218 

129,826 

18,726 

r  Cities 

494,434 

Area  actually  reporting 

62.6% 

14,212 

1,457 

12,755 

22 

57 

195 

1.183 

3,400 

9.002 

353 

Estimated  totals 

100.0% 

22.715 

2,329 

20,386 

35 

91 

312 

1,891 

5,434 

14,388 

564 

1 

899,539 

Area  actually  reporting 

67.9% 

12,435 

2,052 

10.383 

43 

139 

110 

1.760 

3,463 

6,523 

397 

Estimated  totals 

100.0% 

18,309 

3.021 

15,288 

63 

205 

162 

2.591 

5,099 

9.604 

585 

e  Total 

4,501,000 

273,572 

34,128 

239,444 

575 

1,806 

10,071 

21,676 

65,751 

153,818 

19,875 

Rate  per  100,000 

inhabitants               

6,078.0 

758.2 

5,319.8 

12.8 

40.1 

223.8 

481.6 

1,460.8 

3,417.4 

441.6 

MAINE 

opolitan  Statistical 

ea ...               

433,923 

Area  actually  reporting 

100.0% 

21,758 

1.060 

20,698 

8 

74 

250 

728 

4,644 

15,092 

962 

r  Cities 

402,845 

Area  actually  reporting 

99.7% 

13,562 

399 

13,163 

6 

39 

53 

301 

2,536 

10,021 

606 

Estimated  totals 

100.0% 

13,606 

400 

13,206 

39 

2,544 

10.054 

608 

a 

337,232 

Area  actually  reporting 

100.0% 

5,271 

266 

5,005 

171 
1,201 

2,245 
9,433 

2,402 
27.548 

358 
1,928 

e  Total 

1,174,000 

40,635 

1,726 

38,909 

23 

174 

328 

Rate  per  100,000 

inhabitants 

3.461.2 

147.0 

3,314.2 

2.0 

14.8 

27.9 

102  3 

803.5 

2,346.5 

1642 

Table  5.  —  Index  of  Crime,  State,  1986  —  Continued 


MARYLAND 

Metropolitan  Statistical 


dually  reporting 
reporting 


Other  Cities 

Area  actu 
Rural 

Area  actually  reporting 
State  Total 

Rate  per  100,000 


100.0% 

233,278 

100.0% 

4,463,000 


200,552 
7,461 


13,354 
150 


19.K 

541 

854 
21,263 

47b. 


MASSACHUSETTS 

Metropolitan  Statistical 

Area  actually  reporting 
Estimated  totals 

Other  Cities 

Area  actually  reporting 
Estimated  totals 

Rural 

Area  actually  reporting 

State  Total 

Rate  per  100,000 
inhabitants 


5.333,224 
90.2% 
100.0% 
487,892 
90.0% 
100.0% 
10,884 
100.C 
5,832,000 


275,465 
4,723.3 


242,989 

4,166.5 


110 

2 
1,731 


11,239 

192.7 


19.2 
330.9 


62,455 

1,070.9 


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 


98.2% 
100.0% 
683,022 


2,778 
73,517 


204 

905 
6,167 


27,5 
301.3 


38,768 

423.9 


MINNESOTA 

Metropolitan  Statistical 
Area 

Area  actually  reporting 
Other  Cities 

Area  actually  reporting 
Rural 

Area  actually  reporting 
State  Total 

Rate  per  100,000 
inhabitants 


2,741,072 
100.0% 
519,297 
100.0% 
953,631 
100.0% 

4,214,000 


145,215 

22,393 


15,578 
171,832 


4,299 

102.0 


5,392 
393 

6,249 

148.3 


33,689 
3,462 


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. 


768,525 
78.2% 

100.0% 

697,105 
80.7% 

100.0% 

1,159,370 

46.2% 

100.0% 
2,625,0 


589 
1,275 
7,196 


4,309 
9,326 
80,612 


2,229 
4,824 
28,242 


le  5.  —  Index  of  Crime,  State,  1986  —  Continued 


Mixiified 


Murder  and 


3.316,824 
93.7% 
100.0% 
471,307 
84.8% 
100.0% 
1,277,869 
62.6% 
100.0% 
5,066,000 


423.320 
90.7% 
100.0% 
819,000 


735,995 
100.0% 
387,330 

95.9% 
100.0% 
474,675 

81.5% 

100.0% 

1,598,000 


790,852 
100.0% 
28,965 
53.3% 
100.0% 
143,183 
33.5% 
100.0% 
963,000 


8,472 

13,525 

235,773 


10,274 
11,328 
36,682 


4,945 
6,069 
61,614 

3,855.7 


852 
1,597 

933 
2,786 
60,570 

6,289.7 


4.196 
262.6 


7,579 

12,100 

206,463 


12,376 

11,355 
12,258 

9,757 
10,759 
35,393 

4,321.5 


4,799 
5,891 
57,418 

3,593.1 


103 
126 

2.936 

183.7 


2.38S 
2,633 
6,491 


8,135 

2,148 
2,241 

1,287 
1,580 
11,956 

748.2 


185 

347 

274 

818 

15,446 

1,603.9 


27,142 
3,314.0 


3,282 
4,029 
42,784 


Table  5.  —  Index  of  Crime,  State,  1986  — 

Continuec 

Area 

— 

Index 
total 

Modified 

s? 

Property 

Murder  and 
negligent 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 

Burglary 

theft 

5 

NEW  HAMPSHIRE 

Metropolitan  Statistical 

539,837 

Area  actually  reporting 

100.0% 

21.715 

833 

20,882 

14 

108 

184 

527 

4.743 

14.404 

1,735 

Other  Cities 

311.357 

Area  actually  reporting 

100.0% 

11,313 

476 

10,837 

7 

90 

49 

330 

2,497 

7.796 

544 

Rural 

175,806 

Area  actually  reporting 

100.0% 

1.172 

124 

1.048 

2 

23 

9 

90 

514 

475 

59 

State  Total 

1,027,000 

34,200 

1,433 

32,767 

23 

221 

242 

947 

7,754 

22,675 

2,338 

Rate  per  100,000 

3,330.1 

139.5 

3,190.6 

2.2 

21.5 

23.6 

92.2 

755.0 

2,207.9 

227.7 

NEW  JERSEY 

Metropolitan  Statistical 

Area              

7,620,000 

Area  actually  reporting 

100.0% 

399,387 

43,623 

355.764 

399 

2,531 

20,473 

20,220 

81,595 

215,073 

59,096 

Other  Cities 

NONE 

Rural 

NONE 

State  Total 

7,620,000 

399,387 

43,623 

355,764 

399 

2,531 

20,473 

20,220 

81,595 

215,073 

59,096 

Rate  per  100,000 

inhabitants            

5,241.3 

572.5 

4,668.8 

5.2 

33.2 

268.7 

265.4 

1,070.8 

2.822.5 

775.5 

NEW  MEXICO 

Metropolitan  Statistical 

687,781 

Area  actually  reporting 

91.6% 

49,563 

5,581 

43,982 

78 

342 

1,463 

3,698 

14,746 

26,526 

2,710 

Estimated  totals 

100.0% 

54,929 

5.818 

49.111 

83 

359 

1,512 

3,864 

15,955 

30,206 

2,950 

Other  Cities 

486,224 

Area  actually  reporting. 

85.1% 

27.721 

2,790 

24,931 

35 

177 

235 

2,343 

6.416 

17,320 

1.195 

Estimated  totals 

100.0% 

32,560 

3,277 

29,283 

41 

208 

276 

2,752 

7,536 

20.343 

1.404 

Rural 

304.995 

Area  actually  reporting 

53.8% 

5,654 

881 

4,773 

25 

68 

69 

719 

2,040 

2.344 

389 

Estimated  totals 

100.0% 

10,508 

1,636 

8.872 

46 

126 

128 

1,336 

3,792 

4.357 

723 

State  Total 

1,479,000 

97,997 

10,731 

87,266 

170 

693 

1,916 

7,952 

27,283 

54,906 

5,077 

Rate  per  100,000 

inhabitants          

6,625.9 

725.6 

5,900.3 

11.5 

46.9 

129.5 

537.7 

1,844.7 

3.712.4 

343.3 

NEW  YORK 

Metropolitan  Statistical 

Area 

16,068,178 

Area  actually  reporting 

99.3% 

971,618 

171.524 

800,094 

1,863 

5,223 

90.929 

73.509 

203,761 

484.798 

111,535 

Estimated  totals    

100.0% 

975,649 

171,829 

803,820 

1.865 

5.237 

91,030 

73.697 

204,625 

487,378 

111,817 

Other  Cities 

813,744 

Area  actually  reporting 

93.9% 

28,071 

1,731 

26,340 

18 

80 

213 

1,420 

5.313 

20.205 

822 

Estimated  totals    

100.0% 

29,890 

1,843 

28,047 

85 

227 

1,512 

5,657 

21.515 

875 

Rural 

890,078 

Area  actually  reporting 

100.0% 

19,498 

1,538 

17.960 

23 

93 

103 

1,319 

6,728 

10,677 

555 

State  Total 

17,772,000 

1,025,037 

175,210 

849,827 

1,907 

5,415 

91,360 

76,528 

217,010 

519.570 

113,247 

Rate  per  100,000 

inhabitants 

5.767.7 

985.9 

4.781.8 

10.7 

30.5 

514.1 

430  6 

1,221.1 

2,923.5 

637.2 

NORTH  CAROLINA 

Metropolitan  Statistical 

Area 

3,463,500 

Area  actually  reporting 

99.4% 

184.515 

20,858 

163,657 

287 

1,202 

4.471 

14,898 

50.083 

104,384 

9.190 

Estimated  totals  

100.0% 

185,866 

21,023 

164,843 

288 

1,209 

4,494 

15.032 

50,403 

105,189 

9.251 

Other  Cities   

914.378 

Area  actually  reporting 

91.5% 

49.738 

5,140 

44.598 

65 

207 

719 

4,149 

12.221 

30,478 

1.899 

Estimated  totals 

100.0% 

54,374 

5,619 

48,755 

71 

226 

786 

4,536 

13,360 

33,319 

2,076 

Rural 

1.953,122 

Area  actually  reporting 

96.8% 

32.916 

3,373 

29,543 

151 

230 

262 

2,730 

13,351 

14,393 

1,799 

Estimated  totals 

100.0% 

34.009 

3,486 

30,523 

156 

238 

271 

2,821 

13,794 

14.870 

1,859 

State  Total 

6,331,000 

274,249 

30,128 

244,121 

515 

1,673 

5,551 

22,389 

77,557 

153,378 

13,186 

Rate  per  100,000 

inhabitants 

4,331.8 

475.9 

3.856.0 

8.1 

26.4 

87.7 

353.6 

1,225.0 

2.422.7 

208.3 

5.  —  Index  of  Crime,  State,  1986  —  Continued 


Modified 

Murder  anc 

Area 

Population 

Index 

Index 

tolal1 

Violent 

'Sy 

negligent 
slaughter 

Forcible 

Ro^ry 

Aggra- 
vated 

Burglary 

theft 

vHe 

Arson' 

NORTH  DAKOTA 

ropolitan  Statistical 

246,121 

Area  actually  reporting 

100.0% 

9,548 

178 

9,370 

3 

49 

33 

93 

1  2,8 

7,701 

441 

er  Cities 

143,823 

Area  actually  reporting 

96.9% 

5,107 

72 

5,035 

13 

11 

48 

636 

4,192 

207 

Estimated  totals 

100.0% 

5,273 

74 

5,199 

13 

11 

50 

657 

4,328 

214 

al 

289,056 

Area  actually  reporting 

97.7% 

2,804 

94 

2,710 

4 

17 

3 

70 

713 

1,842 

155 

Estimated  totals 

100.0% 

2,870 

96 

2,774 

4 

17 

3 

72 

730 

1.885 

159 

e  Total 

679,000 

17,691 

348 

17,343 

7 

79 

47 

215 

2,615 

13,914 

814 

Rate  per  100,000 

inhabitants 

2,605.4 

51.3 

2,554.2 

1.0 

11.6 

6.9 

31.7 

385.1 

2,049.2 

119.9 

OHIO 

ropolitan  Statistical 

8,472,999 

Area  actually  reporting 

89.3% 

382,232 

39,583 

342,649 

526 

3.653 

14,330 

21,074 

86.619 

220,279 

35,751 

Estimated  totals 

100.0% 

410,662 

41,526 

369,136 

545 

3,824 

14.771 

22,386 

92,549 

238,798 

37,789 

a  Cities 

860,462 

Area  actually  reporting 

79.3% 

29.759 

1,843 

27,916 

16 

151 

323 

1.353 

5,771 

20,899 

1,246 

Estimated  totals 

100.0% 

37,508 

2.322 

35.186 

20 

190 

407 

1.705 

7,274 

26,342 

1,570 

al.... 

1,418,539 

Area  actually  reponing 

78.8% 

16.129 

1,113 

15,016 

24 

108 

83 

898 

5,032 

9.167 

817 

Estimated  totals 

100.0% 

20,477 

1,412 

19.065 

30 

137 

105 

1,140 

6,389 

11,639 

1,037 

e  Total 

10,752,000 

468,647 

45,260 

423,387 

595 

4,151 

15,283 

25,231 

106,212 

276,779 

40,396 

Rate  per  100,000 

inhabitants  

4,358.7 

420.9 

3,937.8 

5.5 

38.6 

234.7 

987.8 

2,574.2 

375.7 

OKLAHOMA 

ropolitan  Statistical 

1,910,293 

Area  actually  reporting 

100.0% 

148,747 

10,836 

137,911 

182 

957 

3,104 

6.593 

43,330 

76,585 

17,996 

■r  Cities 

741.936 

Area  actually  reporting 

99.8% 

36,519 

2,629 

33,890 

37 

151 

331 

2,110 

9,830 

21,676 

2,384 

Estimated  totals 

100.0% 

36,592 

2,634 

33,958 

37 

151 

332 

2,114 

9,850 

21,719 

2,389 

»1 

652,771 

Area  actually  reporting 

100.0% 

13,426 

953 

12,473 

50 

94 

85 

724 

5,874 
59,054 

5,528 
103,832 

1,071 

e  Total 

3,305,000 

198,765 

14,423 

184,342 

269 

1,202 

3,521 

9,431 

21,456 

Rate  per  100,000 

inhabitants 

6,014.1 

436.4 

5,577.7 

8.1 

36.4 

106.5 

285.4 

1,786.8 

3,141.7 

649.2 

OREGON 

ropolitan  Statistical 

1,809,491 

Area  actually  reporting 

99.9% 

147,208 

12,694 

134,514 

123 

988 

5,197 

6,386 

41.113 

84,731 

8,670 

Estimated  totals 

100.0% 

147,362 

12,701 

134,661 

123 

989 

5,199 

6,390 

41,152 

84,831 

8.678 

■r  Cities 

404,699 

Area  actually  reporting 

99.1% 

28,593 

1,096 

27,497 

20 

123 

235 

718 

6,630 

19,593 

1,274 

Estimated  totals 

100.0% 

28,857 

1.106 

27,751 

20 

124 

237 

725 

6,691 

19,774 

1,286 

U 

483,810 

Area  actually  reporting 

100.0% 

14.818 

1,023 

13,795 

35 

266 

119 

603 

5,219 

7,707 

869 

e  Total 

2,698,000 

191,037 

14,830 

176,207 

178 

1,379 

5,555 

7,718 

53,062 

112,312 

10,833 

Rate  per  100,000 

inhabitants 

7,080.7 

549.7 

6,531.0 

6.6 

51.1 

205.9 

286.1 

4,162.8 

401.5 

PENNSYLVANIA 

opolitan  Statistical 

rea 

10,051,933 

Area  actually  reporting 

99.3% 

333,374 

40,326 

293,048 

614 

2,724 

17,763 

19,225 

76,386 

176,506 

40,156 

Estimated  totals 

100.0% 

335,148 

40,467 

294,681 

615 

2,730 

17,795 

19,327 

76,746 

177,621 

40,314 

r  Cities 

790,936 

Area  actually  reporting 

99.0% 

18,716 

1,322 

17,394 

17 

104 

188 

1,013 

3,896 

12.611 

887 

Estimated  totals 

100.0% 

18,902 

1,335 

17,567 

17 

105 

190 

1,023 

3,935 

12.736 

896 

d 

1,046,131 

Area  actually  reporting 

100.0% 

14,728 

827 

13,901 

27 

149 

100 

551 

6,681 

6,300 

920 

e  Total 

11,889,000 

368,778 

42,629 

326,149 

659 

2,984 

18,085 

20,901 

87,362 

196,657 

42,130 

Rate  per  100.000 

inhabitants 

3,101.8 

358.6 

2,743.3 

5.5 

25.1 

152.1 

175.8 

734.8 

1,654.1 

354.4 

Table  5.  —  Index  of  Crime,  State,  1986  —  Continued 


PUERTO  RICO 

Metropolitan  Statistical 
Area 

Area  actually  reporting 
Other  cities 

Area  actually  reporting 
Total 


RHODE  ISLAND 

Metropolitan  Statistical 
Area 

Area  actually  reporting 

Estimated  totals 

Other  Cities 

Area  actually  reporting 
Rural 

Area  actually  reporting 
State  Total 

Rate  per  100,000 
inhabitants 

SOUTH  CAROLINA 

Metropolitan  Statistical 
Area  

Area  actually  reporting 

Estimated  totals 
Other  Cities 

Area  actually  reporting 

Estimated  totals 
Rural 

Area  actually  reporting 
State  Total 

Rate  per  100,000 


SOUTH  DAKOTA 

Metropolitan  Statistical 

Area  actually  reporting 

Other  Cities       

Area  actually  reporting 

Estimated  totals  

Rural 

Area  actually  reporting.   . 

Estimated  totals 
State  Total 

Rate  per  100,000 
inhabitants 

TENNESSEE 

Metropolitan  Statistical 
Area 

Area  actually  reporting 
Estimated  totals 
Other  Cities 

Area  actually  reporting 

Estimated  totals 

Rural 

Area  actually  reporting 
Estimated  totals 

State  Total 

Rate  per  100,000 

inhabitants 

See  footnotes  at  end  of  table. 


1,742,157 

100.0% 

1,647,531 

100.0% 

3,390,000 


99.5% 

44.136 

100.0% 

44,288 

62,914 

100.0% 

3,477 

100.0% 

34 

975.000 

47,799 

4.902.5 

2.025,737 

99.9% 

116,785 

100  0% 

116,959 

418,065 

98.5% 

27,135 

100.0% 

27.540 

934,198 

100.0% 

29.042 

3,378,000 

173,541 

100.0% 
341,054 
50.7% 
100.0% 
708,000 


3.180.595 
91.6% 
100.0% 
545,129 
83.8% 
100.0% 
1,077,276 
61.9% 
100.0% 
4,803,000 


1,628 
3.211 
19,229 

2,716.0 


3,271 
335.5 


44,528 

4,567.0 


7,152 

11,553 

191,861 

3,994.6 


16,447 

485.2 


17,742 
525.2 


9,978 

207.7 


13.184 

2745 


38,792 

1,144.4 


45,276 
1,340.3 


Index  of  Crime,  State,   1986  —  Continued 


TEXAS 

[etropolitan  Statistical 

Area  actually  reporting 
ther  Cities 

Area  actually  reporting 
ural  

Area  actually  reporting 

Estimated  totals 
tate  Total 

Rate  per  100,000 
inhabitants 

UTAH 

[etropolitan  Statistical 
Area 

Area  actually  reporting 
ther  Cities 

Area  actually  reporting 

Estimated  totals 
ural 

Area  actually  reporting 
tate  Total 

Rate  per  100,000 
inhabitants 

VERMONT 

etropolitan  Statistical 
Area 

Area  actually  reporting 
ther  Cities 

Area  actually  reporting 
ural 

Area  actually  reporting 
ate  Total 

Rate  per  100,000 
inhabitants 

VIRGINIA 

etropolitan  Statistical 
Area 

Area  actually  reporting 
ther  Cities 

Area  actually  reporting 

Area  actually  reporting 

ate  Total 

Rate  per  100,000 
inhabitants 

WASHINGTON 

etropolitan  Statistical 

Area  actually  reporting 

Estimated  totals 

;her  Cities 

Area  actually  reporting 

Estimated  totals 
jral  

Area  actually  reporting 

Estimated  totals 
ate  Total 

Rate  per  100,000 


See  footnotes  at  end  of  table. 


13.393.800 
100.0% 
1.496,5 

100.0% 

1.791,689 

99.3% 

100.0% 

16,682,000 


100.0% 

193,823 

100.0% 

1,665,000 


191,285 
100.0% 

246,184 


447,600 
100.0% 
1,226,712 
100.0% 
5,787,000 


1,123,929 

74.779 

36,861 

37,114 

1,235,822 


lVi.hM 

16.730 


99.1% 

261,891 

100.0% 

264.37C 

375.347 

93.4% 

26,843 

100.0% 

28,743 

484,540 

89.5% 

12,469 

100.0% 

13,927 

4,463,000 

307,040 

3,189 

3,211 

109,925 


17,708 
3060 


19,505 

437.0 


1.024.108 

67,796 

33,672 

33.903 

1,125,897 


74,201 
9.013 


7,480 

7,909 

5.319 
20,708 

3,827.; 


50,664 

5,798 

2.559 
2.577 
59,039 


2,514 
333 


2,991 

179.6 


6,118 

105.7 


307,170 

18,927 

15,543 

15,650 

341,747 


39,147 
2,693 


4,429 
4,947 
83,078 


603,519 

45,600 

15,802 

15,910 

665,029 


5.629 
5,887 


6,847 

7,647 

190,420 


61 


Table  S.  —  Index  of  Crime,  State,  1986  —  Continued 


A- 

Population 

2E 

Modified 
total1 

E? 

•B 

Murder  and 
negligent 

Forcible 
rape 

Robbery 

Aggra- 

Burglary 

^ 

theft 

W 

WEST  VIRGINIA 

Metropolitan  Statistical 

Area 

698,040 

Area  actually  reporting 

99.9% 

22,768 

1,650 

21,118 

37 

171 

529 

913 

5,669 

13,989 

1,460 

Estimated  totals  

100.0% 

22,788 

1,650 

21,138 

37 

171 

529 

913 

5,673 

14,004 

1.461 

Other  Cities 

365,097 

Area  actually  reporting 

95.4% 

10,429 

507 

9,922 

18 

61 

141 

287 

2,125 

7.245 

552 

Estimated  totals 

100.0% 

10,932 

532 

10,400 

19 

64 

148 

301 

2,227 

7.594 

579 

Rural 

855,863 

Area  actually  reporting 

100.0% 

10,737 

974 

9,763 

58 

127 

110 

679 

4,099 

4,457 

1,207 

State  Total 

1,919,000 

44,457 

3,156 

41,301 

114 

362 

787 

1,893 

11,999 

26,055 

3,247 

Rate  per  100,000 

inhabitants 

2,316.7 

164.5 

2,152.2 

5.9 

18.9 

41.0 

98.6 

625.3 

1.357.7 

169.2 

WISCONSIN 

Metropolitan  Statistical 

Area 

3.195.939 

Area  actually  reporting 

99.4% 

153,513 

10,887 

142,626 

128 

834 

3,377 

6,548 

27,798 

104,387 

10.441 

Estimated  totals 

100.0% 

154,334 

10,915 

143,419 

128 

835 

3.383 

6,569 

27,935 

105,013 

10,471 

Other  Cities 

537,394 

Area  actually  reporting 

99.5% 

23,564 

711 

22,853 

9 

57 

70 

575 

3.344 

18,782 

727 

Estimated  totals  

100  0% 

23,689 

714 

22,975 

9 

57 

70 

578 

3,362 

18,882 

731 

Rural           

1,051,667 

Area  actually  reporting 

96.1% 

17,305 

683 

16.622 

12 

66 

29 

576 

5,926 

9,790 

906 

Estimated  totals 

100.0% 

18,008 

710 

17.298 

12 

69 

30 

599 

6,167 

10,188 

943 

State  Total 

4,785,000 

196,031 

12,339 

183,692 

149 

961 

3,483 

7,746 

37,464 

134,083 

12,145 

Rate  per  100,000 

inhabitants 

4,096.8 

257.9 

3,838.9 

3.1 

20.1 

72.8 

161.9 

782.9 

2,802.2 

253.8 

WYOMING 

Area 

146,061 

Area  actually  reporting 

100.0% 

7,819 

425 

7,394 

13 

33 

53 

326 

1,699 

5,392 

303 

Other  Cities 

230,268 

Area  actually  reporting 

99.6% 

11,425 

755 

10,670 

6 

56 

46 

647 

1,787 

8,479 

404 

Estimated  totals 

100.0% 

11,464 

757 

10,707 

6 

56 

46 

649 

1,793 

8,509 

405 

Rural 

130,671 

Area  actually  reporting 

100.0% 

2,808 

304 

2,504 

8 

22 

15 

259 

652 

1,705 

147 

State  Total 

507,000 

22,091 

1,486 

20,605 

27 

111 

114 

1,234 

4,144 

15,606 

855 

Rate  per  100,000 

inhabitants 

4,357.2 

293.1 

4,064.1 

5.3 

21.9 

22.5 

2434 

817.4 

3,078.1 

168.6 

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

2Violent  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, 

4Includes  offenses  reported  by  the  Zoological  Police. 

'Forcible  rape  figures  furnished  by  the  state-level  Uniform  Crime  Reporting  (UCR)  Program  administered  by  the  Illinois  Department  of 


The   1986  forcible  rape  totals  for  most  agencies  in  Illinois  were,  therefore,  estimated 


.1111!    I 


able  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,   1986 

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


11,379 
13,029 
10,923 
30,510 
15,123 
28,055 

31,578 
286.756 
12,763 
43,704 
52,871 

20,191 
12,727 
13,142 
36,59 
12,220 

47,443 
22,737 
15,335 
151,880 
10,080 

12,638 

208.148 
187,873 
20,073 
15,791 

24,464 
10,306 
13,300 
28,155 
19,894 

40,354 

10,857 
14,817 
27,522 
11,203 

13,275 
20,129 
13,055 
12,903 
16,101 


238,235 
27,973 
24,990 


14,739 
17,257 
54,045 
14,256 

40,401 
123,737 
12,354 
18,770 
210,702 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns   10,000  and  over  in  Population,  1986 — Continued 


City  by  State 

Population 

s 

Modified' 

Murder 
negligent 
slaughter 

Forcible 

Robbery 

Aggra- 

Burglary 

V 

ihefl 

a™. 

ARIZONA— Continued 

Nogales 

17,522 

1,208 

1,210 

2 

3 

12 

22 

452 

608 

109 

Paradise  Valley 

13,924 

541 

546 

4 

15 

228 

273 

21 

Peoria 

18,712 

1,769 

1.777 

1 

1 

14 

51 

450 

1.191 

61 

1 

Phoenix     

927,055 

89,374 

90,032 

122 

567 

2.972 

5,577 

25,586 

48,896 

5,654 

65 

Prescott 

23,332 

1,286 

1,296 

2 

2 

12 

44 

222 

939 

65 

1( 

Scottsdale    

107,673 

7,062 

7,115 

8 

19 

118 

157 

1.684 

4,727 

349 

5 

Sierra  Vista 

35,131 

1,249 

1,259 

2 

8 

18 

275 

879 

67 

1( 

Tempe 

128,570 

10,903 

10,953 

7 

53 

194 

391 

1,781 

7,819 

658 

5( 

Tucson 

397,023 

38,840 

39,053 

41 

251 

1,042 

2,310 

9,577 

23,510 

2.109 

21 

50,387 

4,745 

4,785 

4 

25 

79 

338 

1,190 

2,874 

235 

4 

ARKANSAS 

Arkadelphia 

10,100 

134 

134 

3 

19 

16 

92 

4 

Benton        

18,258 

665 

668 

8 

3 

32 

116 

463 

43 

Blytheville 

24,540 

1,969 

1,978 

3 

9 

28 

281 

405 

1.200 

43 

Camden     

16,689 

1,062 

1.068 

3 

15 

30 

256 

186 

535 

37 

Conway 

21,640 

1,113 

1,113 

1 

4 

6 

72 

263 

693 

74 

El  Dorado 

25,784 

1.421 

1,427 

5 

8 

35 

103 

367 

854 

49 

Fayetteville 

36,056 

2,202 

2,208 

2 

13 

19 

52 

600 

1,390 

126 

Forrest  City 

14,119 

1,336 

1,336 

1 

7 

11 

79 

318 

875 

45 

Fort  Smith 

73,313 

5,216 

5,235 

5 

24 

83 

240 

1,088 

3.417 

359 

Harrison    

10,881 

468 

470 

1 

1 

24 

94 

332 

16 

Hope 

10,593 

594 

597 

1 

4 

9 

7 

153 

406 

14 

Hot  Springs 

37,196 

4,248 

4,253 

3 

36 

126 

308 

1,035 

2.449 

291 

Jacksonville 

28,648 

1,498 

1,505 

12 

11 

62 

312 

1,035 

66 

Jonesboro 

30,636 

1,446 

1,446 

2 

5 

17 

15 

278 

1,065 

64 

Little  Rock 

172,045 

19,943 

20,095 

38 

180 

896 

1,887 

5,140 

10,958 

844 

11 

Magnolia   

12,442 

130 

131 

1 

1 

3 

81 

41 

3 

Malvern  

10,286 

482 

483 

1 

6 

19 

136 

296 

24 

North  Little  Rock 

65,657 

5,658 

5,685 

10 

47 

166 

538 

1,184 

3,468 

245 

2 

Paragould 

15,730 

839 

848 

2 

3 

25 

174 

585 

50 

Pine  Bluff 

56,403 

3,820 

3.870 

7 

27 

89 

446 

951 

2.165 

135 

5 

Rogers    

19,880 

924 

925 

1 

3 

10 

232 

639 

39 

Russellville 

17,372 

1,015 

1,017 

7 

8 

50 

326 

587 

37 

Searcy 

13,967 

728 

746 

2 

1 

3 

16 

87 

595 

24 

1 

Sherwood 

13,467 

554 

555 

1 

1 

7 

95 

426 

24 

Springdale 

25,325 

1.626 

1,634 

1 

8 

9 

72 

291 

1.148 

97 

Stuttgart  

11,099 

321 

321 

1 

11 

39 

261 

9 

Texarkana 

22,641 

2,805 

2,811 

25 

40 

89 

529 

2.014 

108 

Van  Buren             

West  Helena 

12,959 

663 

664 

2 

4 

7 

234 

370 

46 

11,196 

272 

272 

2 

3 

90 

147 

30 

West  Memphis 

28,162 

2,056 

2,059 

5 

22 

75 

114 

596 

1.150 

94 

CALIFORNIA 

Agoura  Hills 

16,622 

474 

1 

11 

29 

126 

259 

48 

Alameda     

76,428 

4,724 

4,763 

1 

31 

198 

193 

870 

3,185 

246 

3 

Albany       

16,189 

797 

806 

1 

5 

53 

82 

182 

416 

58 

Alhambra 

73,021 

4,230 

4,273 

3 

23 

180 

371 

1,026 

2,019 

608 

4 

Anaheim  

245,897 

17.944 

18,036 

11 

111 

695 

540 

5,352 

9.193 

2.042 

9 

Antioch                                           

48.875 

3,757 

3,873 

4 

17 

92 

186 

937 

2,273 

248 

11 

49,313 
14.554 

2,193 
805 

2,211 
807 

1 

5 

78 
3 

81 

514 
198 

1,205 
548 

302 
31 

1 

Areata       

Arroyo  Grande      

14,010 

634 

635 

6 

12 

18 

113 

468 

17 

Artesia 

15,512 

595 

1 

7 

52 

84 

159 

215 

77 

Atascadero 

19,838 

812 

822 

9 

5 

45 

222 

484 

47 

1 

Atwater    

20,572 

1,044 

1,052 

1 

4 

1 1 

60 

288 

634 

46 

34,760 

2,258 
14,634 

2,268 

25 

84 

162 

704 

1.047 

236 

Bakersfield 

137.114 

14,856 

22 

732 

782 

4,453 

7,489 

1.063 

22 

Baldwin  Park 

60.433 

3,033 

11 

18 

186 

263 

1.569 

593 

393 

Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,   1986 — Continued 


CALIFORNIA— Continued 


16.644 
21,064 
29,262 
38,941 
59,812 

25,532 
20,738 
109,262 
34,489 
18,189 

33,432 
68,785 
92.056 
27,430 
17,752 

44,695 
35,573 
10.126 
43,317 
12,011 


89,533 
16,325 
17,123 
58,237 
30,830 


1,928 
3,206 
3,393 


2,763 
7,759 
1,626 


2,80b 
7.785 
1.628 


3,676 
947 
606 


12,965 
92,443 
109,318 


2.674 
2,045 
8,807 
6,725 


2,700 
2,051 
8.834 
6,751 


44.922 
20,782 
90,360 
41,445 
21.072 


40.563 
39.955 
43,974 
85,463 
28,522 


3.165 
1,950 
2,025 
3.436 


15.858 
19.181 
86,040 
28,066 
23,988 


571 
2,697 
2,122 
1,078 


94,326 
15,254 
79,310 
25.869 


2,023 

620 

2,614 

1,771 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,   1986 — Continued 


City  by  State 

Population 

2£ 

Modified* 

negligent 
slaughter 

Forcible 

— 

Aggra- 

Burglary 

thefl 

thefl 

Arson- 

CALIFORNIA— Continued 

Fairfield 

67,693 
10.811 

4,696 
380 

4,725 
382 

1 

34 

128 

260 
29 

855 
127 

3,202 
198 

216 
20 

29 

Fillmore     

2 

Folsom                                         

16.138 

605 

606 

2 

5 

45 

201 

314 

38 

1 

Fontana            ...             

49,294 

4,430 

8 

35 

161 

327 

1,156 

2,403 

340 

Foster  City. 

25,399 

975 

978 

1 

1 

9 

40 

167 

718 

39 

3 

Fountain  Valley 

58,260 

.       3,021 

3,045 

1 

8 

88 

56 

596 

1,972 

300 

24 

Fremont   

151,491 

6,444 

6,576 

5 

29 

101 

595 

1.514 

3,804 

396 

132 

Fresno 

281,554 

33,201 

33,366 

53 

241 

1,316 

1,816 

9,352 

18.059 

2.364 

165 

Fullerton                      

112,569 

6,839 

6,864 

3 

35 

165 

234 

1,642 

4,072 

688 

25 

Gardena   

50,424 

3,547 

3,581 

6 

25 

449 

167 

808 

1,418 

674 

34 

Garden  Grove 

136,120 

9,817 

9,870 

12 

50 

455 

530 

2,547 

5,123 

1,100 

53 

Gilroy 

27,070 

1,674 

1,705 

9 

35 

65 

406 

1,076 

83 

3 

Glendale  

155,257 

8,415 

8,552 

5 

21 

226 

296 

1.768 

5,006 

1,093 

137 

41,942 

1,694 

6 

42 

287 

447 

807 

105 

Grand  Terrace 

10,375 

392 

393 

1 

2 

9 

15 

159 

174 

32 

Grover  City 

Hanford 

10,738 

331 

333 

5 

35 

99 

163 

25 

2 

24,718 

1.624 

1,632 

2 

31 

55 

374 

1,088 

70 

i 

Hawaiian  Gardens 

12,361 

812 

4 

74 

94 

264 

306 

70 

Hawthorne 

61,309 

5,116 

5,245 

2 

22 

343 

367 

1,126 

2,380 

876 

125 

Hayward 

104,743 

7,357 

7,415 

5 

34 

253 

487 

1,529 

4,564 

485 

58 

Hemet        

27,486 

2,001 

2,010 

1 

4 

30 

118 

448 

1,288 

112 

S 

Hermosa  Beach 

19,364 

1,182 

1,182 

2 

5 

32 

41 

296 

630 

176 

Hillsborough 

11,122 

98 

2 

10 

22 

59 

5 

Hollister  

14,975 

1,012 

1,024 

1 

8 

14 

55 

294 

594 

46 

12 

Huntington  Beach    

188,843 

9,515 

9,558 

7 

47 

212 

319 

2.501 

5,518 

911 

4. 

Huntington  Park 

52,871 

4,091 

8 

18 

341 

228 

1.042 

1,098 

1,356 

Indio 

26,968 

4,428 

1 

23 

188 

273 

1,235 

2,495 

213 

Inglewood 

104,252 

8,250 

8,361 

32 

89 

950 

799 

2,365 

2,346 

1,669 

11 

Irvine 

81,832 

3,723 

3,768 

3 

17 

31 

81 

978 

2,339 

274 

45 

La  Canada-Flintridge 

21,005 

471 

1 

19 

35 

157 

230 

29 

Lafayette  

23,568 

696 

1 

13 

14 

206 

438 

24 

Laguna  Beach 

19.452 

1,100 

1 

6 

27 

59 

340 

607 

60 

La  Habra 

49,742 

2,485 

2,508 

3 

11 

67 

77 

560 

1,572 

195 

2. 

Lakewood    

78,883 

3,674 

3,692 

1 

21 

189 

292 

816 

1,732 

623 

If 

La  Mesa    

55,232 

2,902 

2,914 

4 

11 

80 

163 

802 

1,458 

384 

i; 

La  Mirada 

43,136 

1.265 

1,274 

1 

9 

50 

69 

369 

605 

162 

Lancaster 

57,833 

3,089 

3,132 

4 

24 

76 

353 

781 

1.590 

261 

4. 

La  Palma 

16,735 

460 

462 

5 

11 

31 

128 

226 

59 

2 

La  Puente 

33,866 

2.082 

2,102 

4 

15 

156 

234 

632 

768 

273 

2C 

La  Verne 

27,504 

1,068 

13 

37 

50 

302 

567 

99 

Lawndale 

26,574 

1,730 

1.748 

3 

7 

117 

191 

533 

643 

236 

II 

Lemoore 

11,230 

658 

659 

3 

4 

27 

168 

422 

34 

Livermore 

54,404 

2,430 

2 

20 

32 

221 

581 

1,442 

132 

Lodi 

41,968 

3,440 

3,456 

1 

9 

47 

275 

684 

2,207 

217 

It 

Loma  Linda 

11,970 

739 

740 

4 

22 

31 

249 

362 

71 

Lomita 

20,703 

890 

898 

6 

53 

66 

302 

376 

87 

i 

Lompoc     

30,898 

1,971 

4 

10 

36 

138 

432 

1,280 

71 

Long  Beach 

398,983 

34,396 

34,540 

62 

220 

2,774 

1,783 

8,763 

15,904 

4,890 

144 

Los  Alamitos 

12,092 

629 

640 

1 

1 

13 

4 

213 

347 

50 

1 

Los  Altos 

29,348 

727 

727 

2 

3 

6 

29 

218 

445 

24 

Los  Angeles 

3,260,856 

311,420 

316,837 

834 

2,330 

29,930 

33,284 

64,201 

124,518 

56,323 

5.4I- 

Los  Banos 

12,883 

869 

873 

. 

22 

55 

228 

537 

26 

Los  Gatos                                  

29,156 

1,289 

1 

8 

16 

41 

259 

904 

60 

Lynwood 

55,513 

3,620 

3,670 

14 

47 

469 

649 

1.010 

840 

591 

5C 

Madera       

25,866 

1,336 

1.353 

3 

11 

60 

209 

340 

599 

114 

1' 

Manhattan  Beach  

34,881 

2,073 

2,076 

7 

55 

57 

498 

1,230 

226 

3 

Manteca                      

31,942 

2,813 

2,833 

2 

g 

28 

106 

842 

1,641 

186 

2C 

Marina                    

27,809 

640 

648 

8 

21 

31 

211 

346 

23 

! 

Martinez                         

26,397 

1,393 

5 

14 

45 

458 

759 

112 

Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and 


1986 — Continued 


City  by  State 

Population 

3f 

Modified* 

and  non- 
negligent 

slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 

Burglary 

theft 

vehicle 
iheft 

Arson- 

CALIFORNIA— Continued 

sville 

11.091 

1,150 

1.168 

7 

31 

135 

159 

738 

80 

18 

ilaywood 

25,799 

878 

2 

7 

77 

75 

281 

271 

165 

denlo  Park 

27.459 

1.531 

1,543 

1 

6 

52 

92 

355 

939 

86 

12 

ilerced 

46,593 

3,754 

3,773 

1 

9 

82 

142 

893 

2,478 

149 

19 

dillbrae 

21.146 

645 

648 

1 

22 

9 

132 

426 

55 

3 

dill  Valley 

13,308 

589 

8 

18 

165 

371 

27 

lilpitas 

43,904 

3,018 

3,035 

32 

58 

527 

552 

1,707 

142 

17 

•lodesto 

128,715 

11,116 

11,190 

6 

61 

244 

395 

2,904 

6,781 

725 

74 

Monrovia 

33,846 

2,090 

2,103 

1 

7 

128 

143 

554 

1.042 

215 

13 

dontclair 

26,508 

3,101 

3,113 

3 

26 

171 

165 

897 

1.405 

434 

12 

dontebello 

59,371 

3,475 

3,492 

2 

15 

154 

141 

805 

1,679 

679 

17 

Monterey 

30,271 

2.119 

2,129 

16 

33 

88 

451 

1.443 

88 

10 

Monterey  Park 

61,560 

2,541 

2.548 

1 

6 

135 

83 

681 

1,091 

544 

7 

>!oorpark 

13,570 

337 

341 

1 

2 

4 

18 

119 

170 

23 

4 

doraga 

15,246 

239 

239 

1 

1 

5 

56 

167 

9 

Morgan  Hill 
blorro  Bay 

20,571 

1,025 

1,046 

14 

87 

205 

650 

65 

21 

10,172 

337 

342 

■ 

2 

5 

19 

76 

212 

22 

5 

■fountain  View 

65,065 

4,071 

4,088 

I 

24 

77 

97 

583 

3.091 

198 

17 

■iapa 

56,653 

3,740 

3,821 

2 

19 

30 

385 

770 

2,364 

170 

81 

National  City 

58,985 

5,137 

5,149 

4 

27 

375 

220 

819 

2,357 

1,335 

12 

Newark 
Newport  Beach 

37,567 

2,321 

2,328 

10 

43 

168 

412 

1.590 

98 

7 

69,392 

4.119 

4,152 

1 

16 

134 

1,016 

2.612 

296 

33 

forwalk 

92,076 

3,835 

3,866 

9 

24 

237 

460 

1,060 

1.454 

591 

31 

47,638 
370,556 

95,108 
111,909 

1,484 
45,947 
5,646 
9,202 

46356 
5,666 
9,511 

1 

129 

17 

14 
538 
52 
60 

24 

3,787 

220 

404 

90 

2,531 

525 

881 

384 
12.231 
1.504 
2.966 

896 

22,672 
2.656 
3,855 

75 

4,059 

680 

1,019 

15 

Jutland 

409 

20 

)ntano        

309 

Jrange 

102,092 

6,528 

6,653 

3 

25 

192 

281 

1.886 

3,498 

643 

125 

)roville 

10,538 

1,302 

1,309 

1 

9 

16 

94 

400 

697 

85 

7 

)xna  rd  

127,578 

8,476 

8,514 

13 

94 

398 

640 

2.234 

4,466 

631 

38 

'acifica 

38,324 

987 

998 

1 

6 

26 

80 

211 

589 

74 

11 

'acific  Grove 

16,746 

647 

6 

12 

40 

183 

383 

23 

'aim  Spnngs  

38,288 

3,510 

7 

29 

98 

234 

1,147 

1.737 

258 

»alo  Alto 

59,025 

3,961 

3,981 

2 

9 

78 

51 

635 

3,016 

170 

20 

'alos  Verdes  Estates 

15.027 

316 

318 

1 

3 

1 

28 

70 

194 

19 

2 

'almdale 

19,575 

1,704 

1 

14 

50 

230 

508 

756 

145 

'aradise 

25,556 

636 

647 

5 

1 

28 

261 

310 

31 

11 

'aramount 

42.389 

2,858 

2.880 

9 

16 

181 

322 

843 

1,052 

435 

22 

'asadena 

131,650 

10,086 

10,158 

13 

46 

568 

748 

2,491 

5,057 

1.163 

72 

>aso  Robles 

10,761 

1,150 

1.157 

6 

6 

20 

63 

351 

621 

83 

7 

'etaluma 

38,451 

1,724 

1,751 

9 

40 

67 

545 

985 

78 

27 

>.co  Rtvera 

59,275 

2,895 

5 

12 

155 

423 

988 

953 

359 

'iedmont .. 

11,030 

342 

346 

20 

12 

86 

208 

16 

4 

3inole                               

15,133 

1,012 

1,013 

1 

26 

69 

224 

612 

80 

1 

'ittsburg 

40,686 

2,756 

2,771 

6 

19 

188 

330 

1,022 

1,007 

184 

15 

'lacentia 

39,111 

1,609 

1,641 

3 

6 

38 

86 

591 

761 

124 

32 

feasant  Hill 

28,194 

1,726 

1,734 

5 

39 

37 

406 

1,144 

95 

40,430 

1.708 

1,721 

7 

25 

52 

377 

1,158 

89 

13 

'omona 

112,651 

9,914 

10.060 

28 

63 

729 

1.128 

3,011 

3,837 

1,118 

146 

Porterville 

24,393 

2,880 

2,911 

3 

12 

54 

145 

1.022 

1,497 

147 

31 

Port  Hueneme 

20,710 

803 

805 

4 

38 

60 

213 

431 

57 

2 

fcancho  Cucamonga 

66,620 

3,008 

3,038 

3 

12 

74 

125 

1.272 

1,240 

282 

30 

lancho  Palos  Verdes 

48,898 

736 

2 

23 

57 

238 

341 

75 

led  Bluff 

11,563 

1,144 

1,147 

5 

7 

166 

167 

756 

43 

3 

Redding 

50,876 

4,153 

4,165 

3 

28 

63 

293 

1,114 

2,420 

232 

12 

Redlands  

52,119 

2,674 

2,682 

4 

12 

68 

121 

696 

1,514 

259 

8 

ledondo  Beach 

64,361 

3,868 

3,887 

26 

128 

111 

993 

2,045 

565 

19 

Redwood  City 

58,630 

3,296 

3,314 

3 

30 

97 

402 

592 

1,965 

207 

18 

Reedlev 

13,613 

841 

849 

3 

5 

168 

182 

458 

25 

8 

Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,   1986 — Continued 


negligent 

sl.iu^iik-i 


CALIFORNIA— Continued 


Rialto 
Richmond 
Ridgecrest . 


Riverside 
Rohnert  Park 
Rosemead 

Roseville 

Sacramento 


San  Clemente 
San  Diego 
San  Dimas 
San  Fernando.. 
San  Francisco.. 


San  Francisco  Highway  Patrol 

San  Francisco  Sheriff 

San  Francisco  State  Police 

San  Gabriel 

Sanger 


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 


Sierra  Madre 

Simi  Valley 

South  El  Monte. 


South  Gate 

South  Lake  Tahoe 
South  Pasadena 


Stanton 

Stockton  

Suisun  City 

Sunnyvale 

Temple  City 

Thousand  Oaks 

Torrance 


47,031 

3,492 

80,162 

9,251 

24,643 

890 

191,908 

16,845 

29,691 

1,610 

48,202 

2,292 

29,864 

2,188 

320,256 

35,069 

92,244 

8,818 

12,531 

406 

137,304 

16,337 

36,550 

1,681 

26,552 

904 

31,379 

1,116 

1,011,376 

79,747 

28,488 

1,099 

19,867 

1,478 

750,544 

56.637 

722.560 
22,646 
69,301 
37,200 
14,199 

83,549 
22,265 
46,608 
25,550 
237,356 

80,952 
94,673 
46,446 
15,791 
48,959 

96,179 
23,105 
96,160 
31,186 
27,519 

39,669 
12,992 
11,442 
89,137 
19,423 

79,728 
22,251 
24,661 
53,361 
27,644 

180,760 
15,443 

116,464 
31,958 
98,306 

139,922 


38,979 

952 

5,282 

2,053 


5,291 

5.050 
1.922 
3.751 

9,117 
1,181 
6,598 


2,314 
2,204 
35,330 


39,361 

973 

5,303 

2,066 


6,042 
3,441 
2,626 

22,624 

5,080 


2,407 

1,228 

177 

2,841 


72K 
2,255 


.1.220 

7,968 


3,985 
29 
122 

5.085 


153 

653 

4,767 

13,028 

1,169 

2,937 

1,07.1 

3,623 

1,074 

3,309 

491 

877 

789 

2,534 

1,700 

5,238 

311 

630 

1,751 

4,047 

'able  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,   1986 — Continued 


CALIFORNIA— Continued 


ulare 


23,625 
26,866 
33.057 
41,422 


win  Cities 
kiah 
nion  City 

acaville    . 


22,795 
13.486 
49,580 
55,365 
51 


allejo 

entura 

ictorville 

'alnut 

'alnut  Creek 
'atsonville 

'est  Hollywood 

Tlittier 

'oodland 

orba  Linda 
uba  City 


93,562 
91,038 
20,602 
58,812 
16,595 


>,:-:■>;-: 
94,327 
35,803 
77,095 


8,852 
5.119 
2,149 


2,179 
2.238 

2.972 


COLORADO 


iirora 

julder 

ighton 

'oomfield 

mon  City 

dorado  Springs 
jmmerce  City 

raig 

tnver 

urango 

lglewood  

Kt  Collins 

olden 

rand  Junction 

reeley 

ifayette 
ikewood 
ttleton 

mgmont 

)veland 

orthglenn 

leblo 

erling 
lomton 

estminster 

heat  Ridge 


92,343 
200,189 
79,875 
14,204 
23,953 

14,093 
254.629 
17.619 
10,511 
518,625 

13,122 
31,365 
72,688 
10,106 
14,532 

34,141 
56,281 
12,653 
124,482 
32,557 

50,023 
34,777 
10,305 
31,210 
102,747 


47,602 
61,714 
31,257 


3,909 
17,816 
6,480 
1,039 


572 
22,833 
2,090 


2,341 

5,537 

603 

10,861 


548 
3,( 

4.741 
2.499 


3,483 
2,083 


551 
3,727 
4,767 
2,521 


13,749 

1,460 

270 

27,238 


2,207 
2.830 
1,483 


CONNECTICUT 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,   1986 — Continued 


City  by  State 

Population 

££ 

Modified' 
total 

Murder 
negligent 

Forcible 

— 

Aggra- 

Burglary 

■s> 

~ 

Arson- 

CONNECTICUT— Continued 

Berlin 

15,730 

364 

366 

1 

! 

1 

80 

248 

33 

Bethel 

16,929 

232 

234 

5 

3 

59 

150 

11 

Bloomfield 

19,233 

1,058 

1,060 

5 

31 

22 

241 

676 

83 

Branford 

24,766 

672 

673 

3 

8 

111 

492 

56 

Bridgeport 

143,708 

14,012 

14,075 

40 

75 

1,043 

829 

3.313 

6,256 

2.456 

6 

Bristol 

58,708 

1,724 

1,729 

2 

22 

170 

505 

950 

75 

Brookfield 

13,716 

302 

306 

3 

2 

11 

76 

197 

13 

Cheshire 

23,206 

450 

464 

3 

4 

11 

128 

277 

27 

1 

Clinton     

11,928 

253 

254 

5 

7 

92 

133 

16 

Cromwell  

10,680 

356 

358 

1 

12 

6 

57 

248 

32 

Danbury 

63,937 

2,543 

2,553 

2 

13 

44 

31 

534 

1,733 

j 

18,706 

572 

578 

5 

6 

146 

368 

44 

Derby 

12,231 

517 

535 

1 

14 

149 

303 

46 

j 

East  Hartford 

52,592 

3,135 

3,145 

13 

89 

81 

703 

1,980 

263 

1 

East  Haven  Town 

25,474 

890 

1 

1 

15 

177 

583 

67 

3 

Enfield 

42,717 

1,800 

1,822 

6 

19 

51 

363 

1.205 

156 

2 

Fairfield 

54,020 

2,052 

2,057 

2 

4 

17 

32 

570 

1,212 

215 

Farmmglon 

17,193 

667 

667 

1 

5 

11 

167 

439 

44 

Glastonbury 

25,923 

768 

770 

2 

2 

21 

153 

560 

30 

Greenwich  

59,351 

1,737 

1,741 

1 

13 

14 

286 

1,288 

135 

Groton 

10,110 

398 

401 

1 

2 

11 

88 

269 

27 

Groton  Town 

31,978 

1,316 

1,321 

1 

22 

16 

46 

267 

907 

57 

Guilford 

18,678 

628 

630 

11 

185 

397 

34 

Hamden 

51,671 

2,292 

2.295 

, 

11 

61 

29 

424 

1,568 

198 

Hartford 

137,217 

19,887 

20,102 

28 

104 

1,675 

1,162 

4.661 

10,259 

1,998 

21 

Madison  Town 

15,293 

416 

416 

3 

157 

250 

6 

Manchester                                       

49,780 

2,071 

2,071 

21 

31 

29 

452 

1,386 

152 

Meriden    

58,629 

2,544 

2,600 

1 

15 

58 

49 

758 

1.505 

158 

5 

Middletown 

39,286 

1.415 

'416 

, 

15 

45 

55 

436 

744 

119 

Milford 

52,069 

2.111 

2,i23 

1 

10 

34 

34 

405 

1,255 

372 

1 

Monroe 

15,045 

365 

403 

1 

4 

16 

91 

240 

13 

3 

Naugatuck 

29,309 

608 

620 

3 

17 

162 

374 

52 

1 

New  Britain 

73,337 

5,494 

5,515 

3 

33 

248 

164 

1.361 

3,303 

382 

2 

New  Canaan 

17,987 

236 

236 

j 

67 

149 

19 

New  Haven 

125,558 

14.416 

14,510 

17 

138 

1,174 

945 

3.455 

7,206 

1,481 

9 

Newington                  

29,376 

875 

876 

1 

2 

9 

11 

204 

593 

55 

New  London 

28,799 

2,332 

2,342 

1 

7 

87 

79 

729 

1,249 

180 

1 

New  Milford 

21,217 

584 

589 

5 

4 

14 

178 

323 

60 

Newtown     

20,492 

276 

277 

2 

43 

83 

128 

20 

North  Branford        

12,062 

283 

287 

1 

5 

81 

182 

14 

North  Haven 

22,146 

671 

676 

6 

10 

165 

434 

56 

Norwalk  

79,051 

5,286 

5,292 

3 

7 

125 

111 

1.487 

3,104 

449 

Norwich 

38,829 

1.798 

1,804 

2 

7 

44 

76 

372 

1,169 

128 

0range 

13,120 

1.001 

1,001 

3 

11 

27 

114 

775 

71 

Plainfield 

13,609 

216 

221 

1 

5 

65 

108 

37 

Plainville 

17,298 

596 

601 

1 

1 1 

11 

149 

386 

38 

Plymouth 

11.067 

232 

234 

3 

2 

9 

80 

115 

23 

Ridgefield  Town     

21,317 

253 

255 

2 

4 

74 

154 

19 

Rocky  Hill 

15,770 

477 

481 

2 

5 

18 

129 

272 

51 

Seymour                   

Shelton 

13,473 

216 

216 

1 

2 

5 

50 

133 

24 

33,622 

690 

692 

2 

2 

124 

488 

74 

Simsbury 

22,160 

365 

367 

2 

21 

67 

258 

17 

Southington 

38,299 

1,247 

1,261 

13 

14 

31 

400 

688 

101 

1 

South  Windsor 

19,144 

392 

394 

I 

4 

34 

103 

206 

44 

Stamford 

103,041 

7.076 

7,135 

6 

17 

364 

429 

1,637 

3.912 

711 

5 

Stomngton 

16,723 

563 

563 

4 

4 

114 

416 

25 

Stratford    

50,912 

2,250 

2,271 

2 

4 

61 

76 

553 

1,294 

260 

2 

SufTield 

10,113 

118 

120 

3 

* 

36 

70 

3 

rorrington 

31,662 

1,069 

1,080 

1 

15 

10 

72 

252 

647 

72 

1 

able  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,   1986 — Continued 


CONNECTICUT— Continued 

umbull 

allingford         

aterbury   

aterford 

est  Hartford 
est  Haven 

estport      

ethersfield     

illimantic 

ilton 

indsor  Locks 

olcott  


17,924 

19,718 
60,891 
53.939 
25,640 

25,923 
14,971 
15,760 
26.351 
12,046 

12,955 


2,803 
2,434 
1,295 


2,823 
2,461 
1,299 


;wark 

ilmington 


1,537 
1,315 
3.498 


DISTRICT  OF  COLUMBIA 

ashington 


FLORIDA 

tamonte  Springs 

lie  Glade 

ica  Raton    

tynton  Beach  

adenton  

isselberry 

earwater         

icoa  

coa  Beach 

iconut  Creek 

K>per  City  

iral  Gables 

iral  Spnngs  

inia  

ivie-Hacienda  Village 

lytona  Beach 

*rfield  Beach 

:  Land 


25,741 
16.832 
17,926 
59.395 
41,554 

37.897 
46,699 
20,241 
102,410 
20,465 

13.006 
14,316 
14.307 


60,020 
44,360 
19,495 


2.149 
1,526 
2,532 
3,802 
3.867 


2.340 
2.487 
9,120 
2.824 
2.053 


2,169 
1,530 

2,575 
3,807 


1,128 
7,747 
2,013 


:lray  Beach 
inedin 

Igewater 


i5".j:h 


irt  Myers 
irt  Pierce 
irt  Walton  Beac 


40,679 
38,742 
23,421 
88,393 
20,717 


5,654 
6,667 
1,655 


12,485 


Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,   1986 — Continued 


City  by  Slate 

Population 

total 

Modified' 

Murder 
negligent 
slaughter 

Forcible 

Robbery 

Aggra- 
vated 

Burglary 

■w 

g 

Arson- 

FLORIDA— Continued 

Haines  City 

13,118 

1,072 

1,073 

3 

2 

31 

55 

271 

669 

41 

Hallandale 

39,392 

3,091 

3,092 

3 

12 

214 

248 

660 

1,670 

284 

Hialeah 

161,948 

13,601 

13,689 

21 

37 

685 

769 

2,899 

6,983 

2,207 

8! 

Holly  Hill 

11,424 

1,023 

1,023 

1 

4 

17 

50 

257 

644 

50 

Hollywood     . 

127,831 

12,323 

12,361 

n 

42 

570 

559 

2.864 

7,380 

897 

3i 

Homestead 

22,267 

3,212 

3.242 

7 

12 

256 

280 

895 

1,446 

316 

3C 

Jacksonville 

616,668 

59,410 

59,857 

119 

618 

2,985 

4,281 

16,498 

31.668 

3,241 

44' 

Jacksonville  Beach 

18,976 

2,581 

2.591 

1 

9 

76 

208 

467 

1,647 

173 

K 

17,025 

1,557 

1,558 

1 

20 

43 

429 

963 

100 

Key  West 

26,441 

3,339 

3,344 

3 

16 

73 

127 

1.132 

1,761 

227 

Kissimmee 

22,989 

2,795 

2,798 

17 

76 

299 

604 

1.672 

124 

Lakeland 

57,818 

6,663 

6,683 

7 

35 

277 

379 

1.704 

4,021 

240 

2( 

Lake  Worth 

29,877 

4,039 

4,051 

4 

25 

156 

249 

1,390 

1,896 

319 

i; 

Largo 

66,712 

3,412 

3,428 

4 

11 

54 

219 

1,000 

2,020 

104 

k 

Lauderdale  Lakes 

28,408 

1,468 

1,471 

4 

13 

93 

54 

408 

788 

108 

Lauderhill 

43,749 

2,762 

2,765 

2 

18 

156 

132 

708 

1,513 

233 

Leesburg                                       

14,139 

1,422 

1,425 

5 

49 

86 

456 

768 

58 

Lighthouse  Point 

11,987 

315 

316 

13 

3 

60 

213 

26 

Longwood 

12,738 

866 

870 

3 

23 

149 

165 

496 

30 

Margate                        

41,052 

1,498 

1,499 

13 

45 

35 

370 

926 

109 

Melbourne 

55,784 

5,344 

5,352 

8 

11 

123 

488 

1,179 

3,344 

191 

Miami 

396,374 

58,728 

58,936 

148 

221 

5,767 

5,540 

12,371 

26,265 

8,416 

20 

Miami  Beach 

101,902 

13,655 

13,712 

16 

14 

718 

334 

3.783 

7,408 

1,382 

5 

Miami  Springs 

12,629 

1.417 

1,422 

1 

3 

89 

45 

302 

767 

210 

Miramar 

37,947 

1,440 

1.446 

3 

2 

99 

58 

522 

624 

132 

Naples    

20,654 

1.588 

1.589 

1 

7 

38 

74 

240 

1,170 

58 

New  Port  Richey 

13,216 

1,220 

1,224 

1 

3 

7 

63 

311 

796 

39 

New  Smyrna  Beach 

15,276 

1,321 

1.323 

2 

8 

20 

51 

312 

859 

69 

Niceville 

10,956 

238 

239 

1 

3 

1 

7 

59 

140 

27 

North  Lauderdale 

22,506 

1.100 

1,103 

4 

II 

19 

56 

285 

686 

39 

North  Miami 

45,306 

4,369 

4,383 

7 

9 

333 

168 

1.058 

2,218 

576 

j 

North  Miami  Beach 

38,177 

3,726 

3,732 

4 

10 

250 

174 

758 

2,055 

475 

North  Palm  Beach 

12,666 

673 

673 

1 

5 

23 

6 

218 

355 

65 

Oakland  Patk 

25,505 

4,271 

4,281 

2 

13 

197 

152 

925 

2.627 

355 

It 

Ocala  

45,605 

5.797 

5.814 

4 

25 

187 

304 

1.696 

3,403 

178 

1 

Ocoee 

11,862 

482 

486 

4 

5 

27 

105 

307 

34 

4 

Opa  Locka 

15,817 

2,747 

2,771 

14 

7 

178 

406 

649 

1,241 

252 

It 

Orange  Park 

10.599 

542 

543 

9 

37 

112 

354 

30 

Orlando 

145,882 

17,797 

17,895 

14 

172 

1,229 

2,001 

4.335 

9,134 

912 

9 

Ormond  Beach          

26,743 

1,580 

1,580 

9 

30 

43 

320 

1,105 

73 

Palatka 

11,349 

1,402 

1,402 

2 

4 

58 

113 

352 

836 

37 

Palm  Bay 

35,743 

2,333 

2,345 

4 

14 

30 

135 

780 

1.269 

101 

i; 

Palm  Beach 

11,340 
20,083 

599 

600 

8 

4 

91 

476 

20 

Palm  Beach  Gardens 

1,267 

1,272 

1 

4 

27 

47 

233 

854 

101 

Palmetto 

10,266 

1,230 

1,232 

2 

3 

47 

131 

206 

812 

29 

Panama  City 

36,237 

3,628 

3,640 

7 

25 

54 

137 

654 

2.609 

142 

i 

Pembroke  Pines 

45,952 

2,476 

2,481 

3 

4 

60 

120 

533 

1.614 

142 

Pensacola 

65,945 

4,914 

4.931 

11 

38 

157 

452 

1.268 

2.830 

158 

i 

Pinellas  Park 

41,232 

2,538 

2,550 

2 

13 

46 

126 

684 

1.554 

113 

■ 

I'l.iut.ilion 

54,961 
19,081 

4,822 
2,562 

4,830 
2.565 

3 

5 
13 

129 
108 

203 
224 

858 

797 

3,174 
1,310 

452 
107 

Plant  City 

Pompano  Beach 

69,403 

9,812 

9,843 

15 

64 

459 

1.054 

2.398 

5.098 

724 

3 

Port  Orange 

27,377 

1.031 

1,033 

4 

6 

65 

220 

703 

33 

Port  Saint  Lucie 

30,478 

990 

994 

2 

14 

6 

33 

361 

531 

43 

Riviera  Beach 

29,615 

5,623 

5,640 

7 

49 

321 

635 

1,745 

2,222 

644 

1 

Rockledge 

14,112 

1,286 

1,287 

1 

6 

28 

42 

299 

874 

36 

Safety  Harbor 

11,334 

533 

538 

3 

7 

33 

167 

312 

11 

! 

Saint  Augustine 

13,068 

1.243 

1,246 

2 

1 

47 

60 

244 

845 

44 

. 

Saint  Cloud 

10,082 

580 

581 

1 

4 

5 

26 

133 

391 

20 

Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1986 — Continued 


256,667 
10.334 
30.201 
55.655 
10,362 


33,984 
293,030 
15.858 
12.318 


40.519 
15,159 
18,108 
71.921 

13.320 


2.350 

839 

1,797 

14,710 


23,377 
25,064 
18,817 


88,864 
17,245 
44,495 
445,617 
48,133 


3.261 
63,068 
3.368 


19,974 
28.833 
182.836 


3.477 
2.967 
9,473 
1,057 


3,485 
9,548 


18,660 
17,326 
40,310 
11,209 
19.216 

15,939 
22,873 
10,335 
12,452 
125,246 

40,360 
14,365 
16.219 


73 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,   1986 — Continued 


City  by  State 

Population 

Crane 

Modified" 

negligent 
slaughter 

Forcible 

Robbery 

Aggra- 
assault 

Burglary 

";=- 

vltle 

*— 

GEORGIA— Continued 

Thomasville 

Valdosta 

Vidalia 

Warner  Robins 

Waycross 

19,193 
40,521 
11,460 
46,431 

19,907 

1,132 
6,093 
72 
2,490 
1,416 

2,494 

2 
2 

81 

26 
8 

32 
108 

55 
76 

63 

386 

2 

163 

72 

312 
1,993 
15 
765 
416 

684 

3,248 

53 

1,353 

780 

33 
268 

126 
62 

HAWAII 

Hilo 

38,094 
823,306 

2.388 
46.455 

2,405 
46.842 

46 

18 
241 

17 
1,052 

46 

737 

543 
10,675 

1,665 
30,846 

98 
2,858 

] 

Honolulu 

38 

IDAHO 

Blackfoot  

Boise 

Caldwell   

Chubbuck 

10,121 
107,434 
18,352 
10,781 

372 
7,559 
1,855 

460 

375 
7,622 
1,861 

460 

3 
56 
3 

56 
15 

7 
306 
121 

76 

2,055 

460 

55 

264 
4,754 
1,200 

397 

22 

332 
56 
8 

6 

Idaho  Falls 

41,870 
28,114 
17,548 
27,410 
45,438 

2,625 
1,526 
795 
2,322 
2,591 

2,638 
1,536 
798 
2,333 
2,607 

13 
4 
3 

10 
5 

11 
3 
9 

21 
12 

67 
27 
28 
58 
64 

503 
362 
91 
447 
398 

1,933 
1,046 
639 
1,691 
2,014 

98 
82 
25 
94 
95 

1 

Lewiston 

Moscow 

Nampa 

Pocatello 

2 
1 

1 

1 
1 

Rexburg 

12,297 
28,233 

733 
2,118 

734 
2,127 

1 

, 

1 
10 

7 
55 

100 
370 

618 
1,607 

7 
69 

Twin  Falls 

ILLINOIS2 

Addison 

30,885 
17,967 
33,255 
69,085 
86,040 

7 
11 

129 
15 

172 

31 
35 

165 
34 

307 

309 
182 
836 
395 
1,541 

1,074 
570 
1,814 
1,517 
3,387 

92 
157 
136 
118 
246 

Alton 

Arlington  Heights 

Aurora 

8 
2 
9 

2 
4 

Bartlett 

Batavia  

Belleville 

Bellwood 

Belvidere 

15,309 
13,598 
42,359 
20,628 
15,496 

556 
1,538 

1.544 

' 

6 

5 
15 
54 

29 
16 
62 
87 
19 

120 
175 
472 
212 
108 

370 
343 
887 
557 
556 

17 
17 
95 
140 
30 

Bensenvtlle 

16,319 
45,821 

13,480 
46,774 
22,377 

1,013 

1,021 

17 
55 
8 
43 
25 

25 
48 
18 
163 

37 

156 
519 
114 
658 
209 

717 
1,019 

912 
2,099 

479 

98 
425 
116 
101 
204 

Berwyn 

Bloomingdale 

Bloomington 

Blue  Island 

1 

2 

Bolingbrook 

Bourbonnais 

Bradley  

Bridgeview 

Brookfteld 

39,650 
13,487 
11,374 
14,472 
19,318 

404 

404 

1 

19 
7 
7 

18 

60 

29 
25 

308 
79 
161 
174 
88 

518 
296 
537 
619 
276 

95 
13 
41 
102 
30 

1 

Buffalo  Grove 

25,168 
28,154 
18.360 
40,084 
13,513 

2,999 

3,007 

1 

1 

3 

12 

47 
1 

11 
35 
46 
58 

15 

74 
206 
191 
471 
163 

545 
756 
834 
1,629 
258 

25 
42 
48 
791 
11 

Burbank 

Cahokia  

Calumet  City 

Canton 

Carbondale 

Carol  Stream 

Carpenters  ville 

Centralia 

25,323 
19,007 
23,898 
14,972 
10,018 

1 

35 
7 
7 
17 
15 

23 
65 

46 

42 

248 
141 
245 
225 
82 

1,133 
748 
828 
656 
23 

44 
44 
48 
22 
9 

1 

Centreville 

6 

Champaign 

Charleston 

60.572 

19,232 

3,003,105 

2 

7+4 

158 

7 

30.918 

432 

8 

33,529 

1,610 
161 

56,274 

3.219 

235 

121.751 

300 

10 

48.511 

2 

2,62 

Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1986 — Continued 


ILLINOIS'— Continued 


61,368 
20,218 

15,225 


Modified' 
Index 


15.984 
17,315 
31.645 
57,300 


24.327 
42,616 
21,546 
22,251 


12,781 
11,384 
67,835 
30.584 

43,805 
23,541 
72,330 
21,438 
12,034 

15,445 
17,735 
25,993 
33,575 
10,221 

26.763 
24,068 
34,275 
10,402 
35,850 


32,520 
10,759 
35.539 
14,188 
10.811 


14.137 
31 
16,638 
40,621 


20,187 
76,760 
10,549 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns   10,000  and  over  in  Population,  1986 — Continued 


ILLINOIS'— Continued 


Murder 
negligent 
slaughter 


Loves  Park 
Machesney  Park 
Macomb 

Marion 

Markham 


14.066 
20,345 
19,243 
14,633 
15,321 


Matteson 
Mattoon 
Maywood 
McHenry 
Melrose  Park 


11,288 
19,431 

27,518 


Midlothian 
Moline 
Monmouth 
Morton 
Morton  Grove 


10.457 
13,974 

23,553 


Mount  Prospect 
Mount  Vernon 
Mundelein 
Murphysboro 
Naperville 

Niles 

Normal 

Norridge 
Northbrook 
North  Chicago 

Northlake 
Oak  Forest 
Oak  Lawn 
Oak  Park 
OTallon 


53,580 
17,733 
17,604 
10,130 
51.032 


12,315 
27,100 
58,839 
55,202 
13,489 


Orland  Park 
Ottawa 
Palatine 
Palos  Heights 
Palos  Hills 


18.049 
32,353 
10,880 
16,834 


Park  Forest 
Park  Ridge 
Pekin 

Peru 


26.488 
37,754 
32,950 
117,530 
10,563 


Pontiac 

Prospect  Heights 
Quincy 
Rantoul 
Richton  Park 


.314 


Riverdale 
River  Forest 
River  Grove 
Rock  Falls 
Rockford 


Rock  Island 

Rolling  Meadows 

Romeoville 

Roselle 

Round  Lake  Beach 

Saint  Charles 

Sauk  Village 


45,637 
21,906 
15,453 
15,635 
13,743 

18,1 


•  Number  of  Offenses  Known  to  the  Police,  Cities 


Towns  10,000  and  over  in  Population,  1986 — Continued 


59,875 

23,878 
101,931 
15.726 
25.238 
14,131 

11,552 


negligent 
slaughter 


61,839 
13,497 
52,277 
19,233 
16,691 

13,216 

16,679 
43.146 
10,205 

1  30,477 


3,353 

538 

6,655 


3,377 
539 

6.722 


165,599 
143,254 
20,408 
11,454 
21,902 

16.691 
89.463 
24,585 
22,633 
16,346 


470.591 
21.397 
45.435 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1986— Continued 


City  by  State 

Population 

££ 

Crime 

Murder 
negligent 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 

Burglary 

'=' 

theft 

Arson 

INDIANA— Continued 

Logansport 

17,456 
36,297 
11,951 

977 
296 

977 
1,683 

1 

3 

2 
5 

7 
25 
2 

54 
87 
9 

82 
290 

27 

811 
1,195 
241 

20 
78 
17 

Martinsville 

Merrillville 

Michigan  City      

Mishawaka 

Muncie 

Munster 

27,182 
36,190 
41,145 
74,272 
20,398 

998 
2,504 
2,694 
3,850 

649 

1,003 
2,507 
2,715 
3,885 
650 

3 

7 
1 

16 
11 

24 

32 
65 
25 
71 
3 

44 
51 
114 

5 

91 
756 
377 
1,109 
40 

679 
1,382 
2,009 

2,291 
554 

147 
231 
157 
265 
46 

New  Castle 

18,641 
13,282 
10,050 
28,880 
40,025 

1,078 
549 
319 
1.176 
1,679 

1,103 
552 
319 
1,189 
1,702 

1 

2 
3 

2 

3 

7 

9 

24 
26 
43 
7 

254 
67 
36 
255 
306 

722 
441 
245 
775 
1,212 

49 
13 
11 
84 
86 

14 
58 

Portage 

Richmond 

Schererville 

Seymour  

South  Bend 

Speedway 

Valparaiso 

Wabash 

14,121 
15,557 
107,235 
12,669 

638 

10.814 
483 

381 

10,869 

483 

17 

1 
84 

2 
8 

298 
12 

30 
421 
13 

61 

84 

3,206 

69 

258 

484 

6,373 

338 

58 
31 
415 

47 

12,194 
10,826 

230 
364 

232 
364 

2 
5 

45 
14 

168 
334 

IOWA 

Ames 

Ankeny 

Bettendorf 

44,247 
16,111 
27,407 
12,268 
27,955 

2,197 
803 

1,037 
472 

1,816 

2,213 
808 

1,042 
472 

1,824 

2 

6 

5 
3 

12 
3 
6 
1 

12 

126 
25 
29 
3 

132 

251 
117 
240 
64 

457 

1,700 
633 
724 
381 

1,167 

100 

25 
33 
18 
45 

Burlington    

34,840 
106,482 
30,948 
55,797 

1,165 
8,613 
1,940 
4,334 

1,171 
8,662 
1,944 
4,386 

3 
12 

3 
22 

3 
109 
11 
104 

30 
110 

17 
218 

117 
1,845 

345 
1,084 

984 
6,145 
1,483 
2,615 

28 
390 

81 
288 

Cedar  Rapids 

Clinton 

Council  Bluffs 

Davenport 

Des  Moines 

Dubuque 

Fort  Dodge 

Fort  Madison        

Indianola 

2 
3 

186,991 

59,016 
27,199 
12,716 
10,495 

21.683 

3.017 

2,369 

636 

408 

21,917 

3,075 

2,378 

637 

415 

18 

89 
2 

442 
19 
10 
1 

741 
110 
151 
8 
13 

4,884 
684 
525 
122 
103 

14,696 
2,064 

1,577 
475 
281 

813 
138 
106 
30 
11 

Iowa  City 

Keokuk     

Marion 

Marshalltown 

Mason  City 

49,958 
13,198 
20,082 
26.327 
29,498 

2,816 

414 

706 

1.198 

2,172 

2,850 

415 

706 

1,209 

2,191 

1 

21 

2 
2 

15 

3 
1 

20 

155 
3 
7 
97 
88 

508 
123 
168 
294 
346 

2,021 
271 
505 
773 

1,641 

96 

12 
21 
31 

74 

Muscatine  

Newton 

Oskaloosa 

23,656 
14,711 
10,868 
26,260 
80.121 

965 
634 
538 
992 
6,571 

638 

543 

994 

6.617 

1 

4 

3 

3 
23 

9 

5 
7 
68 

20 
12 
55 
12 
314 

143 
117 
107 
255 
1,843 

738 
481 
356 
656 
4,087 

49 

12 
59 
234 

Sioux  City 

2 

Spencer 

Urbandale    

Waterloo 

West  Des  Moines 

11,391 
19,431 
74,138 
22,491 

643 
1,047 
4,391 
1,779 

643 
1,052 
4,429 
1,782 

29 
4 

1 

13 
62 
18 

7 
32 
238 
34 

105 
253 

375 

525 

718 

2,763 

1,313 

30 
130 
34 

1 
1 

KANSAS 

Arkansas  City  

13,393 
11,509 
10,991 
14,727 

777 
466 
337 
921 

783 
471 
342 
929 

7 

57 
27 
14 
45 

162 

84 
76 
187 

520 
330 
239 
645 

31 
19 
7 
29 

2 

1 

Coffeyville  

8 

7 

Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,   1986 — Continued 


\t,.,liiu-,r 


Murder 
negligen! 

skiui'hlri 


19,729 
11,378 

27,342 


54,707 
35,398 
14,618 

23,584 


13,212 
24.368 
43,337 
30,229 


26.247 

1,057 

43,958 

2,755 

46,484 

3,847 

13.018 

387 

16,895 

643 

14,382 

644 

17,390 

1,135 

15,624 

142 

26,838 

1,194 

11,632 

291 

12,663 

138 

25.532 

1,487 

27.901 

1,737 

19.771 

668 

10.432 

13,486 

90,230 

18,665 

16,867 

94C 

10,138 

296 

12,321 
55.797 
29,134 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1986 — Continued 


City  by  Slate 

Population 

total 

Modified* 

negligent 
slaughter 

Forcible 

Robbery 

Aggra- 

Burglary 

theft 

theft 

., 

KENTUCKY— Continued 

Shively 

15,447 
11,315 
16,035 

916 
396 
676 

916 
396 
681 

1 

1 

2 
2 

39 
2 
3 

70 
13 
14 

211 

75 
76 

512 
286 
558 

81 
18 
23 

LOUISIANA 

Alexandria 

52,985 
16,713 
246,388 
17,060 
55,015 

5,203 
809 
35,642 
1,169 
3,854 

5,231 

35,793 
1,169 
3,874 

20 
51 

28 
16 

181 
12 
27 

7 

1,224 

22 

71 

335 
33 
3,635 
104 
344 

1,312 
139 

9,610 
323 
640 

3,222 

592 

18,775 

662 

2,550 

200 

21 

2,166 

217 

Bastrop 

Baton  Rouge                                     

Bogalusa 

Bossier  City 

1 

Gretna 

16,628 
20,536 
11,065 
39,527 
12,591 

578 
2,004 

442 
2,223 

690 

580 
2,008 

444 
2,234 

690 

2 
8 

1 
11 

1 

12 
110 
3 
36 
5 

48 
148 

16 
172 
107 

243 
455 
93 
532 
141 

246 
1,118 

305 
1,403 

423 

25 
164 
24 
66 
13 

Houma 

Jennings 

Lake  Charles 

Leesville  

Minden  

Monroe 

83,321 
75,728 
11,507 
15,545 
56,451 

10,071 

4,713 

768 

502 

4,476 

10,117 
4,720 

503 

4,477 

75 
9 
3 
1 

32 

232 
58 
12 
8 
69 

839 
152 
98 
133 
761 

2,067 

1,016 

132 

149 

1,093 

6,523 

3,293 

507 

196 

2,367 

323 
180 
14 
14 
151 

Morgan  City 

Natchitoches                                     

New  Iberia ...                                     

New  Orleans 

Pineville 

15,461 
16,619 
36,181 
563,927 
13,495 

944 
816 
1.460 
56,889 
569 

946 
819 

57,220 
572 

197 

2 

3 

3 

456 

15 

13 

44 

5.165 

22 
126 
17 
3,347 
12 

373 
217 
358 
11,561 
127 

489 
440 
1,007 
26,697 
406 

42 

16 

31 

9,466 

18 

3 

Ruston 

Shreveport 

Tallulah 

West  Monroe 

Westwego                                    

MAINE 

21,751 
221,895 
11.218 
16,221 

901 

21,016 

492 

1,049 

21,121 
497 
1,051 

45 

109 
8 

2 

651 
7 
6 

63 

1,202 

109 

52 

5,170 
153 
157 

697 

13,019 

211 

807 

20 

820 

5 

18 

' 

23,299 
21,681 
31,293 
10,405 

826 
1.191 
2,121 

360 

828 
1,208 
2,152 

364 

5 
2 
7 

5 
5 

27 
2 

6 

37 
43 
11 

150 
152 
453 
52 

616 

953 
1,496 
280 

44 
42 
95 
15 

17,804 
10,705 
40,000 
62,736 
11,253 

706 

167 

2,506 

7,267 

352 

718 

170 

2,511 

7.346 

352 

1 

8 
2 

24 
146 

15 

107 
378 

139 
54 
604 
1,247 
51 

524 

89 

1.679 

5,121 

274 

19 
13 

81 
345 
22 

3 
2 

Lewiston 

Portland 
Presque  Isle 

8 
28 

Saco 

13,850 
18,867 
12,089 
23,252 
18,010 

679 
775 
487 
1,486 
955 

687 
789 
490 
1.505 
962 

1 

1 
5 
2 
6 
7 

4 

4 
2 
10 

2 
16 
3 
9 
37 

150 
167 
131 
171 
115 

503 
549 
321 
1.235 
762 

18 
33 
28 
55 
34 

Scarborough  .                                  

South  Portland 
Waterville 

Westbrook 

Windham 

15,482 
12,480 

647 
491 

650 

497 

5 

6 

3 

14 
2 

122 

132 

464 
340 

36 

14 

MARYLAND 

11,808 
32,732 
783,542 

895 
2,874 
66,273 

3 

900 

2.939 

67,031 

3 

240 

23 
660 

24 

73 

7,989 

88 

204 

6,340 

168 

780 

14.321 

542 

1,618 

29,850 

3 

63 

173 

6,873 

7 

Baltimore  City  State  Police 

Cumberland 

24,720 

1,063 

1,069 

1 

7 

26 

213 

786 

30 

rable  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1986— Continued 


M.»l .f 


MARYLAND— Continued 


.aurel  

tockville 

alisbury 

"akoma  Park  (Montgomery  County) 
'akoma  Park  (Prince  Georges  County). 


32,778 

2,319 

17,089 

968 

33.90C 

1.79C 

11,865 

748 

12,232 

1,151 

46,244 

476 

17,133 

2,026 

10,775 

593 

17,777 
10,24 
26,9 1: 
14,649 
32,999 

27,364 


25,55 
574,107 
15,084 

17,919 
96,461 
53.618 
93,084 
18,285 

31,335 
56,799 
24,987 
24,544 
13.625 

23.035 

16,285 

12, 

17,824 

36.728 

92,584 
25,155 
39,976 
14,473 


34.830 
29,205 
I  ..  309 


9,213 
2,707 

h.477 


696 
2,139 

!.5b0 


0.485 

26,553 

254 

476 

74 

113 

2,470 

3,299 

581 

1,412 

1,419 

3.033 

Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1986 — Continued 


MASSACHUSETTS— Continued 


negligent 
slaughter 


Ludlow 
Lynn 

Lynnfield 

Maiden  53,922 

Marblehead  19.872 

Marlborough  31,737 

Marshfield  22,01 1 

Medfield  10,627 

Melrose  29,296 

Methuen  38,675 

Middleboro  17,218 

Milford  24,258 

Millbury  11,752 
25,849 

Natick  30,377 

Needham  27,472 

New  Bedford  98,318 

Newburyport  16,643 

Newton 

North  Adams  17,490 

Northampton  29,352 

North  Andover  21,799 


Northboro 

Northbndge 

Norton 

Norwood 

Oxford 


10.805 
12,338 
13,234 
21.090 


Peabody 
Pembroke 
Pittsfield 
Quincy 
Reading 

Sandwich 
Saugus 

Seekonk 
Sharon 

Shrewsbury 
Somerville 
Southbridge 
South  Hadley 
Spencer 

Springfield 

Stoneham 

Stoughton 

Sudbury 

Swampscott 

Swansea    

Taunton 
Walpole 
Waltham 
Wareham 

Watertown 

Webster 

Wellesley 

Westboro 

Westfield 

Westford 


22,679 

10,820 
25.463 
17,376 
12,428 
14,281 

22,682 
76.286 
16,728 
16,412 
11,332 

151,347 
22,583 
27,287 
14,076 
13,579 


W..-SI.III 


able  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1986 — Continued 


Minified' 


negligent 


MASSACHUSETTS— Continued 


Weymouth 

Wilbraham 

Wilmington 

Winchester 

Woburn 

Worcester 


Hen  Park 
lpena 

uburn  Hills 
attle  Creek 

edford  Townsri 
enton  Harbor 


Timet!  Township 
icanaba 
irminglon 
irmmgton  Hills 

HTidale 

int  

int  Township 

arden  City 

enesee  Township 
rand  Blanc  Township 
rand  Haven 
rand  Rapids 


27,125 
13,053 
54.595 

12,238 
17,546 
20,140 
37,472 
160,792 


20,505 
10.558 
31,851 
11,619 
108.461 

15.515 
54,747 
40,227 
10,060 
14,532 


enton  Township 

srnen  Spnngs-Oronoko 
:verly  Hills 
ig  Rapids 
irmingham 
lackman  Township 
loomfield  Township 
ridgeport  Township 
rownstown  Township 

iiena  Vista  Charter  Towr 

adillac 

anton  Township 

hesterfield  Township 

lawson 
lio-Vienna 
avison  Township 
earbom 
earborn  Heights 


etroit 

e  Witt  Township 

ist  Detroit 

ist  Grand  Rapids 

ist  Lansing 


29,357 
10.586 
59.446 
19.662 


15.445 
13,652 
87,597 
63,543 


1,096.947 
10.535 
36,086 
11,511 
47,081 

13,503 
11.126 
14,496 
10,222 
63,500 

25,379 
150.098 
34.245 


24.497 
24,913 
11,946 
184,340 


1,839 
23,582 
2,443 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1986— Continued 


Modified* 


Aggra- 

Burglary 

Larceny- 

Motor 

assaull 

theft 

12 

97 

409 

34 

24 

80 

167 

25 

14 

117 

515 

200 

13 

66 

357 

38 

16 

73 

200 

20 

10 

63 

310 

10 

254 

633 

803 

769 

22 

159 

1.328 

441 

215 

368 

1,205 

389 

515 

838 

1.421 

925 

58 

291 

1,160 

53 

685 

1,094 

2,302 

172 

1,315 

2,504 

5,823 

334 

44 

275 

579 

34 

58 

245 

1,638 

98 

1,057 

3,107 

6,607 

468 

18 

104 

366 

29 

11 

58 

197 

9 

180 

574 

1,908 

575 

248 

804 

2,912 

1,098 

99 

374 

1.361 

515 

22 

89 

820 

32 

35 

225 

591 

197 

32 

135 

1,187 

52 

65 

156 

589 

66 

108 

438 

1,034 

218 

135 

463 

893 

182 

19 

119 

729 

24 

35 

86 

192 

22 

949 

916 

2,616 

127 

233 

387 

1,136 

55 

5 

167 

566 

22 

63 

205 

598 

22 

8 

104 

322 

17 

10 

120 

424 

33 

26 

104 

468 

27 

45 

285 

1,209 

186 

138 

433 

1,010 

592 

17 

81 

207 

7 

52 

200 

669 

45 

33 

243 

908 

146 

8 

48 

252 

24 

1.517 

2,147 

3.147 

800 

69 

281 

1,667 

73 

124 

353 

1,452 

64 

124 

310 

509 

140 

6 

115 

325 

65 

175 

634 

1.170 

431 

116 

819 

2.924 

672 

89 

723 

2,201 

572 

1.204 

2.280 

3,685 

299 

49 

214 

1.113 

74 

97 

750 

2,190 

494 

31 

164 

518 

33 

44 

302 

1.093 

168 

212 

1.330 

3,759 

2,786 

59 

311 

1,364 

352 

348 

960 

3,562 

664 

21 

67 

228 

4 

MICHIGAN— Continued 


Grandville 


Green  Oak  Township 
Grosse  Pointe  Park 
Grosse  Pointe  Woods 
Hamburg  Township 
Hampton  Township 

Harper  Woods 
Hazel  Park 
Highland  Park 
Holland 

Jackson 

Kalamazoo 

Kalamazoo  Township 

Kentwood 

Lansing    


Lansing  Township 
Leoni  Township 
Lincoln  Park 
Livonia 
Madison  Heights 

Marquette 
Melvindale 
Midland 

Mount  Clemens 


Mount  Morris  Township 

Mount  Pleasant 

Mundy  Township 

Muskegon         

Muskegon  Heights 

Muskegon  Township 

Niles 

Niles  Township 

Northville  Township 

Norton  Shores 

Nov. 

Oak  Park 

Oscoda-Ausable  Township 

Owosso 

Pittsfteld  Township 

Plymouth 

Pontiac 
Portage 
Port  Huron 
River  Rouge 

Riverview 

Romulus 

Roseville        

Royal  Oak 
Saginaw 

Saginaw  Township 
Saint  Clair  Shores 
Sault  Sainte  Marie 
Shelby  Township 
Southfield 

Southgate 
Sterling  Heights 
Summit  Township 


10,270 

19,653 
15,217 

20,443 
26.080 
28,360 

37,974 
77,792 
21,302 
34,363 
128,909 

10,135 
13,833 
43,517 
101,098 
34,610 

21,825 
11,746 
38,199 
22,005 
18,892 

26,969 
22,565 
10,886 
39,843 
14,362 

14,391 
12,531 
12,445 
13,738 
21,532 

24,966 
30,737 
14,496 
15,728 
13,225 

10,205 

71,493 

40,129 

33,6 

12,058 

14,222 
24,017 
52,424 
67,930 
74,234 

37,801 
72,220 
14,043 
40,887 
73,943 

30,967 
110.241 
21,314 


2.685 

2,051 
2,316 
4,360 
1,573 


338 
8,440 
2, 


:,6w 

2,054 
2,322 


3,397 

5,238 

:.45ti 


342 
8,469 
2,127 

1.171 


ible  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns   10,000  and  over  in  Population,   1986 — Continued 


negligent 


11,179 

96 

15,519 

1,926 

21,419 

675 

67,897 

4,792 

19,443 

1,113 

15,842 

813 

53,148 

10,643 

21,293 

1,77; 

44,555 

1,653 

81,737 

4.918 

22,317 

950 

11.206 

680 

32,122 

1,530 

62,010 

3,384 

23,476 

2,497 

10,756 
15.525 
26,553 


50,981 
39.478 
10,668 


20,655 
24.940 
86.690 
27.902 


29.638 
22,902 
13.631 
20,274 
14.578 


27,768 
27,638 
29,734 

11.308 
362.845 
42,170 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1986— Continued 


MINNESOTA— Continued 


New  Brighton 

New  Hope 

New  Ulm 

Northfield 

North  Saint  Paul 


23,103 
23,397 
13,834 
13,170 


Owatonna 
Plymouth 

Ramsey 

Red  Wing 

Richfield 
Robbinsdale 
Rochester 
Roseville 
Saint  Cloud 


14.285 
18,446 
40,949 
11,234 
14.096 

37,022 
14,104 
58,883 
35,098 
42,1 


Saint  Louis  Park 

Saint  Paul 

Shakopee  

Shoreview 

South  Lake  Minnetonka 


43,487 
269,250 
10,632 
21,087 
10,065 


2.289 

21.613 

666 


1,650 

10,994 

457 


South  Saint  Paul 

Stillwater 

Virginia 

West  Saint  Paul 

White  Bear  Lake 


20.929 
12,736 
10.094 
18,435 

23.691 


Willmar 

Winona 

Woodbury 
Worthington 


16.263 
24,908 
14,093 
10,019 


MISSISSIPPI 


Brookhaven . 

Clarksdale 

Clinton 

Columbus 

Connth 


15,821 
28.956 
12,691 


Greenwood 
Grenada 
Gulfport 
Hattiesburg 
Jackson 


21,289 
12.988 
41,661 

42,364 

210.985 


Laurel 

Long  Beach 
McComb 
Meridian 
Moss  Point 


21 

16,081 
12,230 
47,858 
19,136 


Natchez 
Oxford 
Pascagoula 
Pearl 

Starkvilk 


22,672 
10,370 
30,398 
20,558 
16,893 


Vicksburg 
Yazoo  City 


25,753 


>le  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1986 — Continued 


Cily  by  State 

Population 

total 

Modified* 

negligent 

Forcible 

Robbery 

Aggra- 

Burglary 

UtMty' 

theft 

Arson- 

slaughter 

MISSOURI 

old      

19,883 

704 

713 

2 

2 

9 

23 

156 

465 

47 

9 

14,117 

419 

421 

1 

2 

sfontaine  Neighbors 

12,000 

427 

428 

, 

5 

2 

21 

360 

38 

. 

14,  Ml 

603 

607 

6 

1 

37 

95 

432 

32 

4 

eley 

16,683 

754 

759 

3 

10 

32 

40 

256 

317 

96 

5 

Springs          

30,404 

1,460 

1,476 

6 

8 

9 

325 

1,032 

80 

16 

ge<on 

18,195 

1,191 

4 

26 

96 

232 

696 

137 

z  Girardeau       

34,792 

1,992 

2,012 

2 

2 

27 

44 

250 

1,586 

81 

20 

hage 

11.325 

435 

4 

6 

15 

98 

301 

11 

ton 

14,185 

830 

831 

2 

4 

21 

11 

189 

580 

23 

1 

mbia 

64,031 

4.310 

4,337 

t 

19 

53 

159 

734 

3,224 

120 

27 

twood 

12,340 

410 

411 

1 

9 

1 

51 

307 

41 

1 

e  Coeur 

10,883 

414 

414 

2 

1 

4 

6 

58 

298 

45 

lsior  Springs  

10,649 

472 

480 

1 

1 

7 

14 

102 

330 

17 

8 

uson 

24,215 

1.016 

1,019 

1 

7 

34 

38 

274 

529 

133 

3 

issant 

56,601 

1.289 

1,293 

3 

7 

22 

38 

242 

897 

80 

4 

on 

10,704 

394 

394 

2 

2 

16 

85 

266 

23 

lstone 

26,354 

764 

769 

1 

2 

13 

42 

150 

499 

57 

5 

ldview 

25,626 

1,449 

1,459 

8 

47 

35 

352 

879 

128 

10 

19,406 

1.071 

1,078 

2 

76 

238 

730 

21 

7 

slwood                

15,974 

790 

794 

4 

3 

13 

28 

143 

500 

99 

pendence 

113,427 

5,868 

5,924 

4 

28 

114 

309 

1,420 

3,579 

414 

56 

rson  City 

35,420 

1.610 

1,614 

1 

10 

20 

79 

255 

1,201 

44 

4 

ings 

17,543 

1,776 

1,781 

2 

4 

69 

124 

235 

1,185 

157 

5 

n 

40,112 

2,522 

2,546 

4 

15 

23 

202 

425 

1,691 

162 

24 

sasCity 

448,237 

54.378 

54,932 

116 

460 

3,442 

5,655 

13,525 

24,375 

6,805 

554 

nett 

10,205 

573 

574 

4 

5 

100 

80 

363 

21 

1 

wood 

28,316 

996 

998 

4 

21 

9 

202 

680 

80 

2 

non 

10,124 

516 

517 

1 

3 

8 

107 

365 

32 

1 

Summit 

33,177 

1,108 

1,119 

1 

5 

9 

23 

274 

681 

115 

(] 

lewood       

10,620 

556 

558 

2 

20 

79 

373 

64 

2 

shall 

13,025 

292 

2 

2 

5 

71 

210 

2 

CO 

11,987 
13,468 

281 
564 

286 

1 

6 

50 

87 

204 

2 

5 

erly 

3 

ho 

10,074 

534 

1 

. 

58 

90 

353 

28 

lion 

10,061 

611 

618 

5 

57 

104 

413 

32 

7 

19,271 

1,096 

1,099 

3 

26 

33 

206 

747 

81 

3 

31,641 

1,122 

1,123 

\ 

3 

39 

37 

266 

672 

104 

mond  Heights  

11,347 

617 

620 

20 

16 

77 

423 

77 

3 

13,812 

636 

638 

1 

12 

47 

138 

419 

19 

2 

Ann 

15,423 

945 

945 

14 

93 

673 

165 

Charles 

47,766 

1,769 

1,785 

18 

18 

77 

433 

1,117 

106 

16 

Joseph            

75,732 

4,342 

4,419 

3 

15 

53 

223 

1,319 

2,536 

193 

77 

Louis 

434,298 

51,188 

51.721 

195 

373 

3,326 

5,995 

12,523 

21,641 

7,135 

533 

Peters 

22,150 

836 

1 

11 

6 

153 

625 

40 

ia 

20,334 

992 

995 

1 

2 

5 

26 

148 

763 

47 

3 

ton 

17,915 

869 

873 

1 

5 

10 

22 

201 

610 

20 

4 

gfield            

138,534 

11,470 

11,535 

5 

40 

133 

199 

2.716 

7,951 

426 

65 

ersity  City 

43,429 

2,466 

2,489 

7 

18 

82 

123 

749 

1,230 

257 

23 

ensburg          

13,214 

972 

984 

9 

3 

24 

257 

659 

20 

12 

ter  Groves 

23,419 

579 

584 

1 

1 

14 

20 

117 

387 

39 

5 

MONTANA 

gs 

69,407 

6,166 

6,176 

4 

17 

46 

74 

1,083 

4,707 

235 

10 

pell 

11,001 

1,310 

1.317 

1 

1 

4 

65 

146 

1,019 

74 

87 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,   1986 — Continued 


negligent 


Alliance 

Beatrice 

Bellevue 

Columbus 

Fremont 

Grand  Island 
Hastings 
Kearney 
La  Vista 


Norfolk 
North  Platte 
Omaha 
Scottsbluff 


Boulder  City   

Henderson 

Las  Vegas  Metropolitan 
Department  Jurisdictn 

Sparks 


NEW  HAMPSHIRE 

Bedford 

Berlin 

Claremont 

Concord 

Derry 

Dover 

Durham 

Exeter 

Goffstown 

Hampton 

Hudson 
Keene 

Lacoma 
Lebanon 
Londonderry 

Manchester 

Merrimack 

Nashua 

Portsmouth 

Rochester 


NEW  JERSEY 

Aberdeen  Township 

Asbury  Park 
Atlantic  City 
Bayonne 
Belleville 

Bellmawr 
Bergenfield 
Berkeley  Heights 
Berkeley  Township 
Bernards  Township 


10,199 
12,558 
32,190 
18,535 
23,901 

39,640 
22,955 
23,542 
10,718 
179.488 

20,155 


12,881 
15,237 
32,493 
22,464 

24,686 
12,574 
12,240 
12,970 


16.050 
22,682 
17,610 


18.843 
16,912 
37,284 
64,848 
35,759 


26,012 
12,728 

28,070 


1,416 
36,187 


9,077 

2,470 


i>le  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1986 — Continued 


NEW  JERSEY— Continued 


negligent 


>mfield 

:k  Township 

Igelon 

Igewater  Tow 

lington 


47,663 
59.149 
18.885 
29.912 
10.745 


ar  Grove  Tow 
rry  Hill 


11.802 
83.291 

20.288 
12,354 

70.29*) 


Harbor  Township . 
ibeth 
wood  Park 


!'-'.:v. 


ingswood 

lford  Township 
an  Township 
ville  Township 
tford  Township 


21,310 
76,463 
15,978 

24.560 
14,861 
14.500 
24.502 
14.842 


Brunswick  Townshif 
Windsor  Township 


70.073 
18,418 
39,735 
77,399 
22,541 


ewood 

ham  Townshi| 
lg  Township 
Lawn 


23,999 
25,689 
35,538 
31,910 

10.642 


ham  Park  10,593 

Lee  33,555 

iklin  Township  (Gloucester  County)--  13,804 

iklin  Township  (Somerset  County)  34,372 

hold  10,266 

hold  Township  20,282 

oway  Township  16,683 

ield  27,238 

sboro  14,708 
i  Rock 


icester  City 

censack 
ionfield 
ion  Township 

:ilton 

ilton  Township 


36.216 
12,245 
16,620 

85.657 
11.332 

12.528 


rouck  Heights 

2t  Township 
land  Park 


12.091 
18.724 
23,419 
13,534 


Table  6.  —  Number  of  Offenses  Known  to  the  Police.  Cities  and  Towns  10,000  and  over  in  Population,  1986 — Continued 


Modified' 


negligent 
slaughter 


NEW  JERSEY— Continued 

Hillsborough  Township 

Hillsdale      

Hillside  Township      

Hoboken 
Hopatcong 
Hopewell  Township 


Howell  Township 
Irvington 

Jackson  Township 
Jefferson  Township 
Jersey  City 

Keansburg 

Lacey  Township 
Lakewood 
Lawrence  Township 

Linden 

Lindenwold 

Little  Falls  Township 

Livingston 

Lodi 


Long  Branch 

Lower  Township 

Lyndhurst  Township 

Madison 

Mahwah  Township 

Manalapan  Township 
Manchester  Township 

Manville        

Maple  Shade  Township 
Maplewood  Township . 


Marlboro 
Maywood 
Medford  Township 

Metuchen  

Middlesex 


Middle  Township 

Middletown  Township 

Millburn  Township 

Mlllville  

Monroe  Township  (Gloucester  County) 


Monroe  Township  (Middlesex  County) 
Monlclair 

Montville  Township 

Moorestown  Township 

Morristown     .. 

Morns  Township 

Mount  Holly 

Mount  Laurel  Township 

Mount  Olive  Township 

Neptune  Township 

Newark 

New  Brunswick 

New  Milford 

New  Providence  

North  Arlington 

North  Bergen  Township 

North  Brunswick  Township 

North  Plainfield 


11,085 

28,922 
62,652 
27,193 
16,999 
226,135 

10,755 
35,921 
16,193 
40,304 
21,646 

37,942 
18,638 
12,250 
28,217 
23,995 

29,822 
19,107 
20,545 
15,638 
13,487 


22,695 
10,023 
19,716 
13,512 
13,530 

12,712 
68,183 
19.467 
25,474 
22,965 


244 

904 
6,437 
1,901 

328 
19,505 


246 

913 

6,491 

1,904 

329 

19,598 


47,984 
25,173 
19,143 


Number  of  Offenses  Known  to  the  Poli 


Towns  10,000  and  over  in  Population,   1986 — Continued 


29,124 

13,360 
15,244 
24,049 
55,056 
31,543 

13,879 
26,729 
50,928 
54,407 
140,765 


Murder 
negligent 
slaughter 


31,341 
34,718 
14,132 
13,927 

38,895 


1.565 

2,539 

473 


11,030 
12,657 
14.273 
26,931 
13,376 

18,960 
11,519 
12,131 
10,284 
12,589 

25,473 
13,209 
10,993 
20,093 
20,926 

13,476 
19.959 
19,029 
14.092 
31,303 


15,234 
10,565 
12,209 
18,730 


12.076 
21,249 
39,500 

13,084 


93.344 
57,475 
51,512 


3,801 
1,874 
2,060 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1986 — Continued 


City  by  State 

Population 

sr 

Modified* 

Murder 
negligent 
slaughter 

Forcible 

Robbery 

Aggra- 

Burglary 

•V 

theft 

NEW  JERSEY— Continued 

Ventnor  City 

12,195 

492 

492 

1 

10 

12 

147 

310 

12 

14,012 
53,898 
18,275 
10,795 

362 
4,114 
1,216 

163 

365 
4.150 
1,223 

163 

2 

3 

43 

140 
19 

24 

255 

10 

6 

64 

1,049 

147 

35 

236 

2,386 

861 

115 

31 

239 

178 

6 

19,854 
10,531 
10,156 
10,078 
31,099 

676 
235 
251 
61 
1,100 

686 
236 
254 
61 
1,104 

2 

8 

18 
4 
6 

45 

196 
61 
48 
11 

282 

429 
144 
195 
42 
651 

37 
12 

2 

93 

Wanaque 

Warren  Township 

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

2 

3 

24 

Washington  Township  (Morris  County) 

Wayne  Township 

Weehawken  Township 

West  Caldwell 

West  Deptford  Township   

13.583 
48,570 
13.541 
11,375 
18,504 

236 
2,927 
1,030 
319 
410 

237 
2,930 
1,032 

320 

10 
29 
55 
6 
9 

48 
256 
215 
26 
27 

157 
1,813 
568 
256 
330 

21 
795 
162 
29 
40 

2 
2 

32 

28 

1 

Westfield 

West  Milford  Township 

West  New  York 

West  Orange  

West  Paterson 

30,878 
24.147 
41,830 
40,322 
11,479 

784 
679 
2,549 
1,592 
664 

785 
688 
2,551 
1,605 
671 

1 
3 
5 
15 
2 

16 

57 
23 
15 

9 

22 
118 
39 
17 

128 
166 
445 
363 
88 

609 
455 
1,289 
926 

451 

21 

33 
633 
223 

91 

2 
3 

Westwood 

Willingboro  Township 

Winslow  Township 

Woodbndge  Township        

Woodbury 

11,007 
40,006 
23,203 
94,798 
10,496 

344 
1,639 

798 
4,852 

551 

345 
1,648 

819 
4,885 

551 

2 
11 
9 

10 

6 

51 
11 

9 

5 
66 
53 
90 
26 

74 
650 
270 
798 
100 

233 
761 
408 
2,925 
358 

24 
100 

47 
959 

58 

Wyckoff 

15,997 

222 

222 

3 

53 

161 

5 

NEW  MEXICO 

Alamogordo 

Albuquerque 

Carlsbad 

Clovis 

28,553 
364,196 
29,538 
34,723 
11,021 

1,936 
35,516 
2,016 
2.100 
809 

1,957 
35,675 
2,029 
2,107 
809 

49 

3 
2 
2 

2 
247 
5 
34 
1 

2 

1,248 

12 
7 

183 
2,748 
65 
132 
49 

551 
9,746 
390 
447 
187 

1.119 
19.490 
1,484 
1,412 
537 

79 

'  58 
61 
26 

Farmington 

Grants 
Las  Cruces 
Las  Vegas  City 

38,782 
21.773 
10,189 
52.228 
15.961 

3.124 
2,759 
545 
4,994 
1,653 

3,150 
2,763 
546 
5.006 
1.655 

6 

2 

29 
22 
10 
19 

5 

49 
36 
2 
57 
13 

213 
319 
144 
186 
217 

623 
338 
90 
1.313 
400 

2,029 
1,848 

278 
3,189 

963 

177 
190 

2! 
224 

53 

Lovington 

12.159 
10,862 
12,788 

47,478 
11.442 

672 
701 
578 
3,197 
864 

676 

707 

578 

3,203 

6 

5 

6 
23 
1 

31 

29 
88 
3 
157 
70 

118 
208 
184 
871 
116 

478 
372 
346 
2,004 
644 

31 
28 
38 
105 
31 

Rio  Rancho 
Roswell 
Silver  City 

NEW  YORK 

Albany 

Amherst 
Amsterdam 
Auburn  ..... 
Batavia 

99,657 
108,505 
21,362 
32,211 
16,447 

5,901 

2,965 

460 

970 

633 

5,946 

2,978 

460 

972 

633 

8 

1 
1 

71 
4 

1 

238 
45 

8 
1 

422 
197 

9 
10 

7 

1.904 
539 
171 
136 
116 

2,956 
1.956 
257 

778 
495 

302 
224 
20 
30 
12 

Blooming  Grove  Town 
Buffalo  

13.607 
54,614 
10,786 
339,685 
28,904 

445 
2,466 

175 

467 

447 

2,482 

175 

25,547 

471 

2 
2 

35 

12 
281 

15 

25 

1 

1,533 

31 
21 
21 
1.906 
60 

175 
321 
48 
6,729 
119 

200 

2,002 

94 

11,303 

257 

21 
83 
11 
3.102 
28 

92 


6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1986 — Continued 


Aggra- 
vated 

Burglary 

theft 

6 

32 

149 

88 

372 

1,231 

2 

57 

351 

22 

139 

276 

13 

459 

2,184 

37 

72 

273 

7 

224 

755 

16 

60 

404 

15 

52 

213 

6 

48 

199 

32 

66 

295 

27 

431 

1,620 

5 

61 

411 

6 

34 

106 

3 

63 

162 

3 

71 

137 

63 

470 

1,001 

32 

180 

461 

20 

148 

420 

8 

216 

958 

1 

29 

153 

40 

106 

514 

5 

107 

215 

17 

78 

195 

8 

151 

512 

19 

301 

2,175 

90 

359 

1,512 

5 

53 

292 

9 

144 

271 

65 

30 

304 

39 

350 

1,367 

21 

90 

845 

210 

202 

700 

23 

86 

174 

154 

347 

722 

27 

434 

720 

30 

106 

297 

'5 

86 

216 

9 

152 

521 

2 

80 

357 

34 

279 

811 

17 

92 

216 

301 

981 

2,004 

44 

47 

397 

80 

235 

772 

9 

57 

114 

36 

261 

36 

88 

238 

117 

599 

1,405 

62 

207 

430 

57,306 

124,382 

281,713 

120 

1,154 

2,500 

30 

111 

516 

19 

54 

101 

10 

230 

586 

13 

84 

208 

3 

116 

416 

8 

100 

755 

7 

58 

343 

NEW  YORK— Continued 


cero  Town 
arkstown 

Town 

hoes 

Ionie  Town 


st  Greenbush  Town 
dicott 


.hkill  Town 
>ral  Park 
edonia 
eeport 

lton 

irden  City 

ttes 

Sddes  Town 

ens  Falls 

enville  Town 


■eenburgh 

lie  Park 
mestown  .. 
hnson  City 

ncaster  Village 

mg  Beach 
nbrook 
amaroneck  Town 


iddletown 

Dunt  Pleasant 

ount  Vernon 

iwburgh  Town 

:w  Castle 

:w  Hartford  Town  &  Village 

:w  Paltz  Town  &  Village 

Rochelle 
:w  Windsor  Town 
:w  York 
agara  Falls 
ikayuna  Town 

rth  Greenbush  Town 
rth  Tonawanda 
den 


23,147 
78,159 
47,942 
17,812 
74,933 


13,379 
33,529 
14,492 

14,926 

17,137 

10,992 

40.1 

13,625 

22,674 
30,351 
11,374 
14,695 
16,165 

21,179 
17,656 
83,461 
40,505 
23,159 
22,656 
21.020 
35,736 
17,259 
24,55: 


13,413 
24,683 
34,355 
20,314 


21,746 
179.609 
66,578 
18.290 


densburg 


93 


Table  6.  —  Number  of  Offenses  Known  to  the  Police, 

Cities  and  Towns 

0,000  and  over  in 

Population,  1986— Continued 

City  by  State 

■— 

?„zc 

Modified' 

Murder 
and  non- 
negligent 

Forcible 
rape 

Robbery 

Aggra- 

Burglary 

■w 

then 

Arso 

NEW  YORK— Continued 

14,595 
35,817 
23,838 

418 
685 
749 

422 
751 

1 

1 

7 
1 

5 

2 
3 
3 

7 

72 
35 
19 

94 
142 
176 
151 

302 
426 
501 
533 

13 
35 
32 
50 

18,927 
21,347 
14,757 
30.257 

830 

689 

555 

2,646 

831 

695 

556 

2,664 

7 
3 

14 

51 

14 
209 

3 
62 
83 

247 
185 
82 
818 
297 

444 
442 
413 
1,440 
1,185 

40 
14 
43 
101 
59 

2 

57,864 
21,531 
243,065 
25,978 
43,756 

29,285 
15,276 
14,524 
68,122 

1,286 

959 

22,728 

951 

1,201 

715 

401 

260 

3,281 

1,289 
965 

23,063 

1,213 

716 

401 

260 

3,306 

178 

29 
19 
1,059 
26 
12 

3 
1 
2 
121 
16 

118 
91 
1,888 
16 
22 

36 

68 
57 

369 
382 
5,813 
230 
288 

103 
44 
76 
1,249 
516 

706 
452 
12,476 
556 
877 

539 
330 
169 
1,665 
931 

63 
11 

1,276 
122 

34 
21 

161 

100 

Rochester 

38 

1 

1 

1 

Rye 

Saugerttes  Town 

Schenectady 

2 

15 

13 

Southport  

Spring  Valley 

Stony  Point 

Suflem      

11.006 
21,539 
12,784 
10,796 
164,560 

35 

1,735 

196 

234 

12,205 

35 

1,742 

205 

236 

12.329 

9 

3 

479 

72 

59 

3,646 

31 

1,014 

107 

158 

6,954 

1 
84 
4 
13 
497 

12 
2 

78 
3 

552 

67 
8 

486 

Tonawanda  Town 

Troy 

10,764 
69,136 
55,443 
12,438 
73,086 

340 
1,688 
3,228 

472 
2.213 

341 
1,698 
3,271 

474 
2,229 

3 

17 
101 

119 

11 
133 
87 
30 
62 

49 

432 
858 
33 
751 

258 
1,013 
2,005 

389 
1,134 

19 
89 

153 
16 

129 

1 
3 

3 

21 

Utica 

3 

15 

Vestal           

Wallkill  Town 

Watertown 

Warwick  Town 

Webster 

27,505 
21,407 
27,343 
12,977 
23,750 

443 
326 
992 
197 
606 

447 
326 

199 
614 

3 

1 
1 

2 

5 

17 
1 
11 

100 
66 

239 
56 

118 

305 
222 
711 
123 
439 

32 
27 
19 
16 

27 

2 
8 

White  Plains 
Yorktown 

45,811 
191,631 

32,474 

2,852 
9,359 
1,118 

2,852 
9,424 

13 

9 

30 
2 

603 
7 

48 
211 
22 

235 

2.225 

180 

2,248 

4,779 

869 

213 

1,498 

37 

NORTH  CAROLINA 

Albemarle  

Asheboro 

Asheville      

Burlington   

15,219 
16,058 
60,148 
11,036 
38,308 

619 
1,033 
4,812 

372 
1,722 

624 
1,033 
4,818 

373 
1,730 

1 
2 
6 

2 

4 

33 
2 

11 

100 

1 

21 

34 
134 
221 

16 
117 

148 
190 
970 
78 
352 

393 

646 
3,219 

259 
1,142 

35 

263 
16 

77 

Cary 

Chapel  Hill 

Charlotte    

Concord      

Durham      

27,960 
33,817 

339,767 
19.229 

104,750 

936 

1,893 

35,381 

968 

9,826 

937 

1,898 

35,705 

971 

9,883 

53 
2 
20 

6 

305 
48 

8 

24 

1,454 

18 

281 

19 
68 
3,675 
64 
287 

144 
416 

9.598 
235 

2,690 

721 

1,237 

18,637 

616 

6,049 

38 
137 
1,659 
29 
451 

Eden 

Fayetteville  

Garner          

Gastonia      

Goldsboro                 

16.182 
67,916 
11,559 
49,656 
36,889 

631 
8,642 

454 
5,366 
2,213 

635 
8,684 

460 
5,427 
2,220 

8 
5 

67 

21 
15 

5 

319 

3 

161 

57 

31 
1.029 

37 
340 
129 

127 

1,888 

83 

1.319 

464 

434 
4,879 

310 
3,233 
1,441 

33 
449 

21 
284 
102 

Greensboro                  

Greenville 
Havelock 

Henderson 

Hickory 

163,614 
38,294 
21,754 
16,539 
25,006 

11,138 

2,665 

395 

1,666 

2.471 

11,207 
2,681 
395 
1,674 
2.496 

18 

1 

66 

32 

5 

300 
58 
2 
28 
44 

815 
129 
28 
132 
187 

2.421 
646 
133 
453 
651 

7,131 

1,708 

199 

1,001 

1.442 

387 
91 
32 
47 

130 

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


1986— Continued 


City  by  Stale 

Population 

s 

Modified- 

negligent 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 

Burglary 

theft 

theft 

Arson- 

NORTH  CAROLINA— Continued 

gh  Point 

cksonville 

annapolis 

urinburg 

68,557 
26.317 
32,765 
25,712 
12,660 

5,068 
2,719 
1,280 

2,057 
935 

5,116 
2,725 
1,289 
2,059 
941 

10 

27 
12 

1 

124 
47 
17 
49 

433 
201 

91 
218 

37 

1,119 
537 
316 
514 
223 

3,145 
1,822 

801 
1,225 

638 

210 
96 

47 
41 
24 

48 
6 
9 
2 
6 

noir 

14,084 
16,333 
19,404 
17,395 
15,383 

1.216 
1,152 
1,965 

1.140 
730 

1,228 
1.164 
1.984 
1.143 
733 

5 

6 
1 
1 

14 
12 
56 

123 
83 
134 
205 
58 

240 
393 
398 
258 
141 

805 
593 
1,271 
614 
488 

28 
62 

32 
37 

lmberton 

organton 

19 

3 

3 

;w  Bern 
ileigh 

16.251 
173.901 
12,742 
47.403 
23.300 

1,282 
11,896 
409 
3.974 
1,568 

1,290 
11,945 
409 
3,990 
1,575 

,1 

5 
76 

1 
18 

8 

14 
339 

88 
39 

90 
732 

84 
301 

69 

342 

2,284 

43 

1,038 

485 

789 
7,712 

266 
2,401 

916 

41 

737 

124 
50 

8 
49 

lisbury 

7 

nford 

16.981 
19,509 

10.4/9 
15,359 
46,016 

1.492 
1,721 
666 
931 
5,543 

1,496 
1,721 
670 
933 
5.583 

11 

8 
7 
2 
5 

30 

14 
25 
11 
11 
97 

122 
54 

72 
37 
202 

407 
390 
152 
262 
1,453 

856 
1,188 
404 
551 
3,483 

85 
53 
24 
63 
267 

4 

rboro 

omasville 

tlmington 

2 
40 

nston.Sa.etn 

147,235 

12,377 

12,536 

17 

109 

369 

1,964 

3,107 

6,247 

564 

159 

NORTH  DAKOTA 

46,833 
18,607 
64,727 
43,564 

2.416 

604 

3,132 

2,219 

2,416 

610 

3,137 

2,225 

1 

14 

13 
9 

10 
16 
17 
13 

345 
87 
355 
284 

1,942 

480 

2,568 

1,803 

102 
20 
162 
101 

"t 

16.296 
36,698 
11,852 

515 
1,710 
373 

519 
1,712 
373 

2 

2 
3 
3 

10 

56 
156 
61 

425 
1.461 
291 

26 

73 
12 

est  Fargo 

OHIO 

iron 
liance 

nherst 

226,877 

lo]564 
19,659 

17,598 
1,608 
366 
416 

17,839 

427 
1,487 

25 

163 
6 
3 

676 
29 
6 

1,581 

155 

6 

35 

3,295 
393 
13 
58 

10.571 
978 
329 
301 

1,287 
47 
9 
21 

241 

hens 

20,995 
13,369 
28,456 
17,528 
35,128 

781 
251 
1,702 
196 
981 

782 
251 

198 
998 

1 

1 

15 

1 

4 
39 

38 
1 
226 
5 
2 

71 
46 

271 
47 

212 

609 
191 
1.075 
132 
741 

54 
11 
76 
10 
19 

1 

rberton              

y  Village 

avercreek  Township 

2 
17 

dford 

dford  Heights 

rea                            

ue  Ash 

14,923 
12,374 
19,054 
13,588 
10,805 

640 
489 
606 
546 
570 

642 

606 

550 

575 

' 

1 

1 

2 

7 
4 
13 
20 
3 

33 
11 
6 
3 

63 
53 
134 
143 
94 

441 
304 
379 
361 
460 

104 
90 
67 
14 
8 

2 

5 

ardman  Township  

wling  Green 

42,049 
24,508 
10.645 
10,844 
10.923 

1,771 
829 
163 
156 
199 

1.771 
829 
166 
159 

2 

1 

7 

3 

31 
6 

3 
2 

34 
17 
6 
3 
26 

252 
153 
47 
27 
58 

1,165 
622 
95 
96 
97 

288 
24 
12 
24 
12 

ookfield  Township 

unswick 

cyrus 

mbndge 

28.643 
13.375 
12,983 

431 
643 
596 

440 
647 

} 

I 
1 

8 

5 

42 
8 
2 

60 
89 
95 

283 
520 
476 

36 
16 

21 

9 

Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,   1986 — Continued 


Cily  by  Stale 

Population 

3f 

Modified' 

Murder 
negligent 
slaughter 

Forcible 

Robbery 

Aggra- 

Burglary 

W 

Motor 

A- 

OHIO — Continued 

Canton 

Centerville    

89,098 
19,579 

5,742 
594 

5.829 
597 

8 

67 
2 

269 

297 
7 

1,448 
98 

3,265 
457 

388 
25 

Chillicolhe 

Cincinnati                

Circleville 

Cleveland      

Cleveland  Heights 

23,840 
370,482 

11,866 
546,544 

56,937 

2,045 

27,699 

546 

44,235 

2,069 

2,063 

28,277 

548 

45,263 

2,069 

1 

46 

124 

3 

4 

291 
4 

773 
4 

29 

1,216 

5 

3,698 

28 

78 
1,787 

15 

2,520 

3 

516 

6,034 

121 

11,928 

358 

1,352 

17,169 

374 

13,453 

1,216 

65 

1,156 

27 

11,739 

457 

1 

Columbus                     

Cuyahoga  Falls 

Dayton    

Defiance 

Delaware     

566,115 
42,416 

181,159 
16,099 
19,391 

46,552 
1,691 
16,569 

715 
927 

46,958 
1,708 

16,878 
718 
932 

78 
51 
1 

550 

219 

6 

2,255 
25 

1,428 
9 
8 

2,265 

118 

904 

8 

12 

12,121 

284 

4,026 

143 

182 

26,491 

1,159 

8,992 

523 

672 

2,792 
94 
949 
32 
46 

Delhi  Township 

East  Cleveland 

29,996 
11,612 
36,696 
22,131 
57,192 

468 

449 

2,599 

503 

1,897 

482 
449 

2,625 
513 

1,913 

1 
7 

5 

36 
7 

28 

5 

3 

192 

1 

43 

6 
2 

127 
13 
49 

67 
92 
713 
125 
632 

375 
323 
870 
317 
916 

10 
27 

654 
40 

224 

Elyna 

5 

Englewood .   

Euclid 

11,119 
57,985 
28,652 
32,484 

457 

2,476 

898 

1,772 

457 
2,488 

898 
1,777 

3 
4 
6 

7 

50 
12 

20 

7 

34 
27 
20 
69 

5 

73 
443 
138 
385 
105 

332 
1,635 

692 
1,198 

375 

318 
32 
93 
58 

Fairfield 

1 

10,627 
17,317 
20,222 
11,975 
33.694 

561 
592 
542 
456 
1,022 

569 
593 

459 
1,030 

5 
9 
10 
9 

21 

9 

27 

4 

9 

110 

126 
161 
113 
69 
230 

372 
349 
388 
344 
501 

49 
38 
22 
22 
154 

Fremont 

Galion 

Garfield  Heights         

1 
1 

7 
5 
2 
5 

Girard 

12,792 
13,126 
12,559 
17,442 
63,967 

321 
304 
659 
615 
5,152 

311 

670 

616 

5,223 

7 

8 

3 
3 

10 
139 

3 
6 

10 
26 
408 

70 

116 

100 

1,231 

182 
196 
515 
435 
3,075 

40 
27 
14 

242 

Goshen  Township 
Greenville 

Grove  City 

Hamilton 

1 
1 
2 

50 

Jackson  Township 
Kent 

Kettering    

Lakewood  

Lancaster 

29,267 
27,849 
60,188 
60,531 
34,710 

1,311 
1,183 
2,738 
1,984 
1,980 

1,318 
1,193 
2,766 
1,997 

2 

5 

17 
11 
3 

37 
22 
27 
37 
14 

32 
32 

155 
33 

375 

217 
235 
482 
376 
267 

923 
813 
1,912 
1,341 
1,230 

97 
70 
145 
185 
91 

Liberty  Township 
Lima 

Madison  Township  (Montgomery  County) 

13,369 
46,049 
72,789 
16,892 
22,016 

657 
3,462 
2,259 

290 
1,531 

3,521 

2,273 

290 

1,540 

3 
4 

35 
49 

5 

14 
132 
48 
2 
40 

313 
64 

67 

85 
795 
800 

58 
268 

406 
2,087 
1,138 

200 
1,075 

143 
97 

156 
23 
74 

Madison  Township  (Lake  County) 

15.558 
51,887 
28,703 
16,509 

524 

3,761 

766 

424 

3,793 
766 
428 

2,264 

' 

3 

34 
3 
6 

15 

1 

78 
19 
9 

44 

20 
467 
36 
39 
22 

108 
1,038 
158 
97 
614 

361 
2,010 
376 
244 
1,496 

31 
133 
174 
28 
58 

Maple  Heights 

Marietta 

30.801 
16,268 
20,202 
42,854 

1.529 
822 
681 

1.494 

1,548 
829 
686 

2 

16 
5 
1 

30 

14 

14 

155 

5 
35 

291 
110 
66 
204 

954 
647 
455 
1,113 

81 
48 
140 
124 

Miamisbure 

Miami  Township 

Middlcburg  Heights 

Middletown 

Montgomery   

17.769 
15,395 
43,791 
11,190 
41,276 

691 
729 

2.515 
357 

1,669 

698 
731 

2,534 
357 

3 
3 

7 
2 

11 
1 

14 

2 

43 
2 
35 

46 
31 

143 
97 
551 

325 

459 
496 

1,800 
296 

1.147 

31 

111 
76 
13 

122 

New  Philadelphia 

Niles 

17,018 
22,467 

852 
1.082 

855 

1 
1 

\ 

5 

15 

29 
34 

213 
184 

570 
721 

28 

125 

able  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns   10,000  and  over  in  Population,   1986 — Continued 


s: 

Msr* 

total 

total 

246 

249 

436 

436 

1,448 

1,453 

509 

513 

360 

360 

394 

395 

1,360 

1,361 

965 

779 

782 

2,666 

2.706 

478 

478 

233 

236 

808 

811 

1,151 

1,157 

1,239 

245 

416 

417 

1.116 

1.129 

330 

330 

1,950 

1,958 

144 

144 

1,849 

1,861 

967 

202 

467 

481 

745 

748 

1,340 

6,158 

6,204 

1,162 

818 

822 

809 

815 

502 

504 

1,055 

497 

505 

927 

930 

27,415 

27,890 

624 

630 

985 

996 

1,739 

1,760 

431 

434 

1,299 

1,314 

408 

462 

469 

299 

301 

466 

468 

2,915 

926 

943 

572 

577 

757 

762 

1,048 

1.051 

459 

466 

1,495 

1.503 

367 

378 

732 

735 

369 

372 

927 

932 

663 

670 

1,162 

1.177 

OHIO — Continued 

'orth  Canton 

orth  College  Hill 

orth  Olmsted  

orth  Ridgeville  

orwalk 
orwood 

xford  

arma 

erkins  Township 

errysburg 
erry  Township 

ortsmouth 
andolph  Township 
eading 
eynoldsburg 

ilem 

uidusky      

:ven  H.lls 
haker  Heights 
tiaronville 
tieffield  Lake 

suth  Euclid 

pringdale  

pringfield  

teubenville 

trongsville  

ylvania  Township 

allmadge 
iffin 

roy 

'nion  Township  (Butler  County) 

'nion  Township  (Clermont  County) 

diversity  Heights 

'pper  Arlington  


ermilion 

Wadsworth 

Warrensville  Heights 
Washington  Court  House 

/est  Carrolllon 

Westerville 
Westlake 
Whitehall 
/ickliffe 

/illoughby         

Wilmington 

booster 

/orthington 


14.859 
10,798 
36.021 


11.955 
14,483 
25,382 
18,672 

16,649 
90,225 
10,400 
10,696 
32,652 

20,063 
24,446 
12,433 
12,389 
22,390 

12,620 
30,597 
13,189 
31.452 
10,646 
10,431 
15,700 
25,135 
10,869 
70,079 


14,363 
19,401 
343,939 
19,374 
26,451 

29.912 
15,490 
36,067 
10,946 
12,702 

11,203 
15,064 
54,057 
16,352 
12,639 


19.774 
10,556 
19,468 
18,721 
24,093 


97 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1986 — Continued 


City  by  State 

,,,„ 

sc 

Modified' 
total 

Murder 
negligent 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 

Burglary 

-a- 

v2& 

Arso, 

OHIO— Continued 

Youngstown 

108,042 

6,746 

33 

77 

393 

951 

2,314 

1,739 

1,239 

28,337 

1,853 

18 

35 

78 

464 

1,159 

99 

OKLAHOMA 

Ada 

16,953 

1,233 

1.250 

6 

8 

94 

311 

749 

65 

Altus         

23,837 

1,103 

1,110 

3 

2 

14 

25 

338 

675 

46 

Ardmore  

24,898 

2,072 

2,080 

4 

4 

19 

85 

502 

1,343 

115 

Bartlesville 

35,784 

1,971 

1,994 

7 

24 

40 

376 

1,432 

92 

Bethany 

Broken  Arrow 

22,148 

1,190 

1,191 

1 

18 

20 

243 

796 

112 

47,072 

1,963 

1,984 

11 

11 

39 

542 

1,164 

196 

Chtckasha 

17,056 

1,305 

1,322 

3 

6 

13 

92 

282 

820 

89 

Claremore  

14,405 

738 

742 

2 

1 

7 

48 

210 

405 

65 

Clinton 

11,593 

843 

847 

1 

3 

24 

54 

249 

466 

46 

Del  City 

27,108 

2,377 

2,392 

3 

20 

70 

650 

1,308 

285 

Duncan     

23,276 

1,368 

1,381 

2 

7 

273 

931 

37 

Durant 

12,830 

1,167 

1,169 

1 

1 

7 

75 

294 

718 

71 

Edmond 

46,261 

2,085 

2,115 

15 

8 

15 

34 

587 

1,257 

169 

Elk  City 

14,541 

642 

645 

2 

2 

6 

29 

161 

402 

40 

El  Reno 

17,260 

847 

857 

3 

1 

18 

32 

265 

454 

74 

Enid 

52,614 

4,385 

4,415 

7 

22 

48 

196 

1,313 

2,663 

136 

Guthrie 

12,162 

855 

871 

1 

3 

9 

28 

269 

475 

70 

Lawton 

85,812 

5,914 

5,974 

5 

56 

188 

380 

1,654 

3,280 

351 

McAlester 

18,457 

1,050 

1,063 

8 

5 

36 

330 

588 

83 

Miami 

14,219 

805 

2 

1 

23 

151 

581 

47 

Midwest  City 

53,499 

4,951 

4.965 

4 

14 

84 

179 

1,126 

2,986 

558 

Moore 

40,325 

2,558 

2.569 

1 

9 

48 

101 

698 

1,487 

214 

Muskogee 

42,883 

3,317 

3,347 

3 

21 

63 

270 

899 

1,762 

299 

Norman 

75.511 

4,665 

4,675 

2 

20 

70 

74 

1,415 

2,752 

332 

Oklahoma  City 

444,119 

57,394 

57,887 

60 

425 

1,484 

2,270 

17,048 

29,404 

6,703 

Okmulgee 

16,225 

1,412 

1,421 

11 

17 

91 

314 

781 

198 

Ponca  City 

28,677 

1,108 

1,113 

3 

11 

10 

40 

294 

679 

71 

Sand  Springs            

14,702 

855 

875 

3 

1 

6 

23 

233 

499 

90 

Sapulpa 

17.555 

814 

854 

2 

1 

15 

14 

229 

474 

79 

Shawnee 

27,992 

2,712 

2,727 

2 

11 

18 

110 

853 

1,536 

182 

Stillwater 

38,125 

1,601 

1,610 

10 

11 

75 

332 

1,072 

101 

Tahlequah 

11,246 

512 

1 

1 

4 

19 

110 

324 

53 

Tulsa 

375,335 

35,984 

36,172 

40 

272 

858 

2,125 

9.374 

16,647 

6,668 

Village 

12,009 

799 

805 

1 

5 

17 

10 

166 

543 

57 

Warr  Acres 

10.472 

958 

960 

3 

14 

17 

215 

652 

57 

Weatherford 

12,400 

420 

424 

1 

1 

16 

124 

257 

21 

Woodward 

15,351 

597 

610 

2 

4 

33 

153 

375 

30 

Yukon 

22.539 

974 

974 

4 

19 

11 

277 

592 

71 

OREGON 

Albany 

28,322 

2,078 

2,105 

2 

9 

29 

20 

591 

1,287 

140 

Ashland      

15,294 

832 

838 

4 

8 

37 

169 

565 

49 

Beaverton 

33,758 

2,402 

2,412 

8 

61 

6 

541 

1,664 

122 

Bend 

17,768 

1,664 

1,667 

2 

6 

8 

9 

290 

1,284 

65 

Coos  Bay 

15,037 

1.241 

1,253 

2 

11 

14 

25 

357 

752 

80 

Corvallts 

40,055 

2,341 

2,348 

7 

13 

56 

551 

1,635 

79 

Eugene 

102,502 

8,649 

8,685 

8 

29 

142 

153 

2.185 

5,720 

412 

Forest  Grove 

11,707 

772 

776 

1 

3 

7 

19 

189 

528 

25 

Grants  Pass 

15,838 

2,062 

2,079 

1 

4 

22 

23 

362 

1,574 

76 

Gresham 

36,606 

2,378 

2.392 

1 

14 

53 

73 

772 

1,267 

198 

Hillsboro 

30,295 

1.610 

1,623 

1 

15 

21 

8 

448 

1.043 

74 

Keizer 

19.776 

1,143 

1,146 

1 

7 

14 

18 

249 

812 

42 

Klamath  Falls 

18,352 

1.947 

1,958 

1 

9 

30 

77 

511 

1,248 

71 

ible  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,   1986— Continued 


OREGON— Continued 


Grande 
ke  Oswego 


lwaukie 
wberg 


egon  i_it 
ndlelon 

rtl.ii  ,1 
seburg 

ringfield 
e  Dalles 

alatin 
St  Linn 

wdburn 


PENNSYLVANIA 

ington  Township 

iquippa 

lentown 

ton  Township 


Idwin  Borough 
nsalem  Township 


thlehem  Township 

wmsburg  Town 
idford 

Mitwood    

tier. 

tier  Township 

rlisle 

rnegie       

[iter  Township 
ambersburg 
ellenham  Township 


inberry  Township 

mru  Township 

rry  Township 
ylestown  Township 

it  Hempfield  Township 


it  Nornton  Township 

it  Pennsboro  Township 
zabeth  Township 

unaus        

hrata  

Us  Township 


10,582 
15,048 
42,323 
18,086 
11,467 

14,963 
14,304 
368,439 
16,208 
91,123 

40,348 
11,088 
18.806 
10,857 
13,008 

11,368 


58.905 
16,309 
103,801 
54,544 
14,922 

24,006 
56,592 
15,715 
69,901 
12,593 


10.505 
11,280 
16,757 
18,131 


10,219 
10,397 
16,183 
35,350 


12,454 

11,957 
18.030 
12,275 
16,523 
16,721 

13,149 

26,041 
13,816 
16,216 
11,147 


1,293 

769 

65,654 


..!« 


1,237 
6,049 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,   1986— Continued 


PENNSYLVANIA— Continued 


Greensburg 

Hanover                   

17,058 
14,855 

Hanover  Township 

Harrisburg  

Harrison  Township 

Haverford  Township 

Hazleton 

12,456 
52,007 
12,666 
51,782 
26,089 

Hermitage                 

Hilltown  Township 

Hopewell  Township     

Horsham  Township       

Indiana                             

17,179 
10,212 
14,115 
16,868 
15,192 

Jeannette 

Johnstown  

Kingston 

Lancaster 

Lancaster  Township  

12,563 
33.105 
15,573 
56,208 
11,204 

Lansdale 

Lansdowne 

Latrobe        

17,422 
11,659 
10.149 
26,304 

12,737 
20.463 
12,796 
36,094 
19,691 

Lower  Moreland  Township 

Lower  Paxton  Township            

Lower  Providence  Township 

Lower  Southampton 

Manheim  Township       

Manor  Township     

Marple  Township 
Meadville     

19,004 
26,814 
13,566 
22,739 
14.832 

Middletown    

Middletown  Township 
Millcreek  Township 

Monessen                              

Moon  Township 

10.369 
38,291 

45,190 
10,975 
20,444 

Morrisville 

Mountaintop  Regional 

Mount  Lebanon 

Muhlenberg  Township 

Munhall 

10,298 
12,608 
33,601 
12,699 
14,082 

Murrysville 

Nanticoke  

16,316 
12,693 
10,783 

32,072 
17.624 

New  Kensington 

Newtown  Township 

Norristown 

Northern  York  Regional 

North  Huntingdon  Township 

North  Middleton  Township 

11.688 
34.355 
32,822 
30,777 
10,470 

North  Versailles  Township         

Oil  City 

Palmer  Township      

Penn  Township            

Peters  Township 

12,998 
13,643 
13,946 
16,653 

13,834 

Philadelphia 

Phoenix  ville                    

1,645,144 
14,060 

ible  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,   1986 — Continued 


negligent 
slaughter 


PENNSYLVANIA— Continued 

ttsburgh  

ains  Township 

ymouth  Township       

idnor  Township 

chland  Township 

dley  Township  

)ss  Township 
lisbury  Township 

ott  Township 

aler  Township 

amokin  


ringettybury  Township  ....   . 

ringfield  Township  (Delaware  County) 

ringfield  Township  (Montgomery 

County) 

ring  Garden  Township   

ring  Township 

rte  College 

squehanna  Township  

?atara  Township 

rissvale 

edyffnn  Township 

5per  Allen  Township      

>per  Chichester  Township 

3per  Dublin  Township 

jper  Gwynedd  Township 

)per  Merion  Township 

jper  Providence  Township 

?per  Saint  Clair  Township 
jper  Southampton  Township 
arminster  Township  

ashington 

est  Chester 

est  Goshen  Township 

est  Manchester  Township 

est  Mifflin 

est  Norriton  Township 

est  Whiteland  Township 
hitehall 

hitehall  Township 

hitemarsh  Township      

hue  Oak  

hitpain  Township 

ilkes-Barre 

illiamsport 

sadon 

Kk 

ark  Township 


402,204 
11,394 
25,294 

17,034 
27,896 
78,290 
13,598 
33,313 

35,006 
12,510 
19,254 
32,902 
10,021 

16,998 
20,100 
24,600 
19,649 
10,800 


12,720 
24,520 
13,613 
11,239 

14,822 
22,484 
10,152 
26,076 
10,630 

18,974 
15,982 
36,179 
11,57 
18,31 

18,490 
17,47 
13,037 
25,372 
14,519 

10,417 
14,657 
21,508 
14.918 
10,029 

13,070 

49,270 
32,236 
12,189 


32.380 
329 
259 


391 
2,047 

1.44S 


101 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,   1986 — Continued 


City  by  State 

Population 

£ 

Modified- 
Index 

slaughter 

Forcible 

Robbery 

Aggra- 

Burglary 

theft 

vehicle 
theft 

Arson- 

RHODE  ISLAND 

16,067 
20,025 
14,833 

17.623 
29,309 

326 
440 
239 
524 
930 

330 
440 
242 
524 
936 

1 

2 

2 

3 
1 

12 
7 

5 

16 
7 

38 
9 

47 
123 

67 
206 
188 

261 
269 
150 
187 
680 

10 
28 
13 
80 

Burrillville 

Central  Falls 

Coventry 

Cranston      

Cumberland 

73,712 
26,948 
10,433 
52,391 

3,194 
751 
221 

1,579 

3,219 
755 
221 

1,602 

1 

3 

42 
3 
1 

11 

80 
6 

46 

790 
133 
68 
406 

1,789 
560 
138 
937 

489 

10 

174 

East  Providence 

17,396 
17,742 
12,694 
29,974 

823 
683 
625 

2,332 

824 

685 

625 

2,341 

2 

5 
1 
11 

3 
6 

39 

9 
8 

15 
56 

155 
160 
226 
452 

426 
450 
347 
1,580 

228 
54 
35 

193 

Middletown 

Narragansett 

Newport 

1 

30,821 
10,328 
73,796 
15,198 
156,251 

953 

259 

3,433 

261 

16,685 

963 

261 

3,433 

261 

17,008 

1 
12 

83 

2 
73 
860 

29 
16 
167 

936 

295 
73 

1,137 
87 

4,492 

451 
147 

1,618 
155 

7,091 

172 
22 
423 
18 
3,205 

North  Smithfield    

3 

18 

Portsmouth 

Providence 

3 

Smithfield 

South  Kingstown 

Tiverton  

Warren 

Warwick      

17,737 
21,152 
13,982 
11,123 
88,387 

244 
526 
385 
297 
4,770 

245 
526 
385 
298 
4,828 

2 
2 
1 

18 

25 

11 

3 
130 

95 
109 
152 

55 
919 

91 

384 

183 

211 

2,870 

44 
25 
44 
24 
807 

Westerly 

West  Warwick 

19,365 
28,316 

499 
932 

499 
935 

2 

2 
1 

4 

5 
45 

133 
213 

323 
595 

35 
72 

SOUTH  CAROLINA 

Aiken 

16,823 
27,839 
11,630 
68,690 
100,959 

973 

2,304 

643 

5,181 

12,168 

978 
2,318 

644 
5,197 
12,219 

2 
5 

7 
16 
2 
45 
101 

29 
42 
12 
165 
446 

88 
208 

52 
517 
956 

241 

582 

115 

1,033 

2,668 

572 
1,338 

3,184 
7,418 

34 
113 

45 
227 
568 

Anderson    

Cayce 

Charleston  

Columbia    

10 
11 

Conway      

Easley 

Florence     

12,681 
16,087 
31,945 
13,977 
11,118 

1,061 
645 

2,724 
787 
920 

1,066 
648 

2,739 
797 
926 

1 
1 

2 
2 

28 
15 
10 

9 

117 
12 
28 

145 
66 
279 
103 
66 

139 
155 
525 
186 
230 

721 
398 
1.649 
435 
550 

41 
19 
125 
36 
36 

Georgetown 

23,285 
58,703 
22,696 
12.417 
13,920 

590 
6,283 
1.749 
1,108 

503 

591 
6,324 
1,759 
1,116 

511 

11 
2 
2 
1 

8 

20 
18 
5 
7 

7 
184 
21 
17 
7 

26 
579 
365 
84 
19 

126 

1,257 
358 
255 
150 

390 
3.927 
929 
672 
297 

33 
305 
56 
73 
22 

Greenwood 

Greer         

Hanahan    

Lancaster    

Laurens    

Mount  Pleasant 

Myrtle  Beach 

NewbeiTy    

10,265 
10,839 
20,160 
25,843 
10,263 

882 
535 
1,252 
4,169 
389 

535 
1,258 
4,173 

390 

6 

5 

10 
2 

5 

15 
69 
4 

178 
37 
58 
61 
82 

170 
122 
210 
1.187 
59 

489 
351 
901 

'227 

24 
12 

212 
14 

North  Augusta 

North  Charleston 

Orangeburg 

Rock  Hill 

Simpson  ville 

15,388 
68,308 
15,842 
38,622 
11,302 

477 
6,295 
1,557 
3,676 

323 

479 
6,339 
1,569 
3,692 

323 

4 

5 

52 
12 
20 
2 

13 
259 
42 
65 
5 

48 
600 
127 
408 

37 

125 
1,525 
375 
709 
85 

257 
3,382 

933 
2.300 

180 

28 
472 

67 
170 

14 

4 

Spartanburg 

Summemlle 

44,914 
13,635 

4,670 
964 

4,697 
969 

7 

25 

122 
14 

484 
56 

1.031 
212 

2,796 
625 

205 
53 

2 

102 


able  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns   10,000  and  over  in  Population,   1986 — Continued 


SOUTH  CAROLINA— Continued 

imter 

est  Columbia 

SOUTH  DAKOTA 


MixJilied* 


xrdeen 25,844 

ookings 15,075 

iiron          12,418 

itchell  13,936 
12,441 

ipid  City                      49,300 

Falls 88,050 

irmillion 10,038 

kton 


3.870 

4,455 

373 


TENNESSEE 


irtlett 
entwood 
istol 
lattanooga 

arksville 
eveland 
ilumbia 
tokeville 
rersburg 

st  Ridge 

anklin 

tllatin 

:rmanlown 

■eeneville 

imboldt 
:kson 

hnson  City 
ngspon 
loxville 


12,312 
21.044 
11,275 
24,023 
167,4 

59,602 

27,422 

27,550 

22,: 

15,1 

21,337 
16,383 
18,467 
27.067 
14,590 

10,070 


4,517 
2,508 
2,133 
12,033 


wrenceburg 

nryville 

:Minnville 

smphis 

illington 

urfreesboro . 


340 

65,651 
498 

902 
2.311 


112.848 
23.239 
11,713 
19,286 


7,435 

2,285 

560 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1986 — Continued 


City  by  Slate 

Population 

3f 

Modified" 

negligent 
slaughter 

Forcible 

Robbery 

Aggra- 
vated 

Burglary 

'="■ 

theft 

A,on- 

TEXAS— Continued 

AmariUo 

169,927 

13,865 

13,984 

21 

81 

275 

510 

3,653 

8,656 

669 

11 

Andrews 

13,601 

297 

298 

35 

76 

175 

11 

Angleton   

15,832 

789 

790 

1 

4 

2 

51 

202 

489 

40 

Arlington 

223,106 

20,235 

20,319 

22 

120 

518 

790 

4,475 

12,263 

2,047 

8 

Athens 

11,372 

1,163 

1,164 

2 

7 

10 

48 

347 

710 

39 

Austin         

414,220 

45,856 

46,096 

48 

388 

1,124 

1,107 

12,454 

28,469 

2,266 

24 

Balch  Springs 

Bay  City 

17,818 

1,559 

1,600 

10 

24 

30 

482 

886 

127 

4 

18,567 

1,588 

1,591 

1 

5 

16 

124 

323 

1,039 

80 

Baytown  

63,308 

4,356 

4,381 

7 

12 

104 

115 

1,221 

2,342 

555 

2 

Beaumont 

128,706 

10,892 

10,936 

14 

105 

450 

542 

3,490 

5,736 

555 

Bedford 

32,375 

2,467 

2,467 

2 

18 

43 

38 

550 

1,643 

173 

Beeville 

16,670 

712 

713 

! 

2 

5 

52 

251 

376 

25 

Bellaire     

15,469 

691 

699 

2 

25 

10 

142 

445 

67 

Belton 

12,420 

684 

691 

4 

7 

20 

172 

452 

29 

Benbrook 

17,696 

520 

520 

5 

15 

9 

136 

286 

69 

Big  Spring 

28,650 

2,305 

4 

10 

21 

331 

667 

1,196 

76 

Borger 

17,984 

525 

529 

2 

2 

6 

24 

147 

317 

27 

Brenham 

13,351 
11,316 

604 

732 

604 

737 

3 

2 
5 

5 

13 

72 

85 
170 

488 
453 

12 

27 

Brownfield 

Brownsville 

98,783 

9,065 

9,077 

6 

24 

155 

1.116 

2,098 

4,568 

1,098 

1 

Brownwood 

20,618 

1,518 

1,525 

2 

9 

6 

43 

308 

1,097 

53 

Bryan 

61,550 

4,550 

4,560 

4 

46 

80 

310 

1,382 

2,522 

206 

1 

Burkburnett 

11,503 

340 

340 

5 

15 

97 

207 

16 

Burleson 

15,230 

866 

872 

2 

17 

3 

242 

526 

76 

Canyon 

11,637 

242 

244 

10 

48 

164 

20 

Carrollton 

55,131 

4,517 

4,536 

* 

15 

59 

41 

1,404 

2,731 

263 

1 

Cedar  Hill 

10,086 

1,000 

1,001 

6 

9 

23 

447 

469 

46 

Cleburne 

22,342 

1,095 

1,106 

1 

1 

6 

24 

103 

870 

90 

1 

College  Station 

47,741 

3,066 

3,068 

12 

30 

87 

535 

2.261 

141 

Conroe 

19,765 

1,935 

1,949 

2 

17 

34 

210 

371 

1,144 

157 

1 

Copperas  Cove 

21,984 

1,039 

1,046 

3 

8 

11 

35 

265 

672 

45 

Corpus  Christi 

269,260 

23,583 

23,739 

35 

204 

362 

754 

6.247 

14.742 

1,239 

15 

Corsicana   

24,466 

1,989 

2,015 

5 

20 

55 

47 

516 

1.231 

115 

2 

Dallas 

1,016,488 

153,926 

154,863 

347 

1,255 

9,289 

8,384 

37,703 

80,734 

16,214 

93 

Deer  Park 

25,601 

651 

655 

2 

7 

18 

226 

318 

80 

Del  Rio 

35,893 

2,184 

2,189 

5 

7 

17 

167 

564 

1,275 

149 

Denison 

25,285 

2,518 

2,551 

5 

26 

260 

408 

1,703 

112 

3 

Denton 

48,073 

5,962 

5,962 

6 

31 

77 

296 

1,355 

3,863 

334 

De  Soto 

20,439 

1,899 

1,908 

9 

30 

16 

566 

1,113 

165 

Donna 

11,880 

647 

648 

1 

5 

35 

372 

208 

26 

Dumas 

13,459 

283 

283 

3 

65 

208 

7 

Duncanville 

33,275 

2,135 

2,182 

1 

5 

42 

15 

608 

1,278 

186 

4 

Eagle  Pass 

Edinburg 

25,142 

1,332 

1,336 

3 

42 

302 

925 

60 

31,334 

2,156 

2,171 

1 

1 

8 

103 

665 

1,266 

112 

1 

El  Campo 

El  Paso 

11,154 

692 

692 

6 

42 

185 

435 

24 

483,925 

37,773 

38,205 

46 

198 

1,039 

3,451 

9,190 

21,265 

2,584 

43 

Ennis 

13,202 

743 

744 

1 

2 

4 

16 

222 

441 

57 

Euless    

29,100 

2,264 

2,277 

2 

8 

52 

59 

506 

1,445 

192 

1 

Farmers  Branch 

27,612 

2,034 

2,039 

2 

4 

25 

25 

485 

1,310 

183 

Forest  Hill 

13,744 

950 

968 

1 

6 

39 

51 

271 

468 

114 

1 

Fort  Stockton 

10,389 

403 

403 

1 

4 

22 

73 

273 

30 

Fort  Worth 

432,542 

72,015 

72,403 

200 

559 

3,373 

3,738 

19,257 

35,334 

9.554 

38 

Freeport 

12,949 

1,103 

1,105 

5 

9 

15 

31 

294 

692 

57 

Friendswood 

18,345 

638 

645 

1 

6 

47 

197 

343 

44 

Gainesville 

14,676 

809 

809 

1 

5 

26 

202 

510 

65 

Galena  Park 

10,389 

209 

218 

2 

63 

117 

27 

Galveston 

65,085 

6,930 

6,995 

7 

66 

375 

593 

1,711 

3,676 

502 

6 

Garland 

167,157 

10,437 

10,504 

15 

72 

202 

235 

3,285 

5.958 

670 

6 

Georgetown 

12,867 

581 

583 

1 

2 

6 

16 

127 

415 

14 

Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,   1986 — Continued 


54,112 


12,491 
16,031 
,779,677 
11,931 
31,460 


1,045 

168,150 

2,025 


1,049 

170,035 

2,027 

1,630 


35,894 
125,264 
10,853 
13,383 
10,315 


3,067 

13.167 

523 

768 


3,075 


17,739 
12,665 
58,080 
31,248 
21,082 


5,196 
1,788 
804 


5,263 
1,795 
807 


16,378 
12,837 
18,222 
24,885 
113,390 


23,929 
11,307 
15,259 
24,845 
76,441 


886 
3,522 
5,996 


186,272 
31.944 
11,199 
26,036 
80,404 


10,458 
1,533 
569 
1,030 


19,022 
13,842 
80,606 
101,362 
16,364 


1,460 

675 

8.819 


5,471 

2,273 

500 


29,859 
32,401 
12,189 
29,991 
17,743 


26,436 
38,565 
113,404 
27,101 
18,940 

23,241 
27,311 
124,477 
16,368 
13,673 


2,083 
2,926 
10,575 
2,755 


1,422 
3,337 
7,579 
1,015 


2,947 
10.644 
2,781 
1,720 

1,429 
3,370 
7,653 
1,017 
770 


105 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1986 — Continued 


City  by  State 

Population 

Index 

total 

Modified' 
Crime 

Murder 
negligent 

Forcible 

Robbery 

Aggra- 

Burglary 

theft 

theft 

Arson* 

TEXAS— Continued 

Piano 

97,268 

6,014 

6,039 

5 

18 

55 

59 

1,372 

4,140 

365 

Port  Arthur 

66,872 

3,820 

3.842 

16 

28 

130 

234 

1,124 

2,165 

123 

Portland   

13,274 

490 

491 

6 

11 

84 

365 

24 

Port  Lavaca 

12,885 

511 

513 

2 

7 

26 

107 

355 

14 

Port  Neches 

14,955 

452 

454 

2 

3 

8 

141 

276 

22 

Raymondville 

10,519 

344 

2 

1 

1 

53 

137 

140 

10 

Richardson 

80,320 

4,740 

4,784 

1 

15 

98 

50 

1.108 

3,146 

322 

Richmond  

16,618 

438 

439 

2 

8 

34 

153 

207 

34 

Robstown 

13,903 

825 

827 

3 

43 

342 

407 

30 

Rosenberg 

20,373 

1,724 

1.764 

2 

9 

32 

136 

402 

1,057 

86 

Round  Rock 

18,681 

1,568 

1,571 

1 

46 

19 

58 

315 

1,081 

48 

Rowlett 

11,031 

678 

682 

8 

5 

52 

281 

301 

31 

San  Angelo 

88,008 

5,143 

5,143 

2 

40 

54 

315 

1.086 

3,432 

214 

San  Antonio 

879,332 

100,209 

100,927 

162 

805 

3,262 

2.008 

29.194 

56,648 

8,130 

7 

San  Benito 

21,593 

1,250 

1,251 

1 

11 

13 

75 

352 

738 

60 

San  Marcos 

26,385 

2,423 

2,434 

2 

11 

36 

151 

490 

1,623 

110 

Seguin 

19,724 

1,912 

1,916 

4 

8 

16 

249 

490 

1,096 

49 

Sherman    

32,571 

3,230 

3,244 

3 

15 

47 

102 

770 

2,118 

175 

Snyder  

14,778 

356 

356 

2 

2 

1 

37 

41 

260 

13 

South  Houston 

15,155 

985 

985 

1 

5 

32 

19 

171 

617 

140 

Stephenville 

13,241 

729 

732 

4 

3 

17 

180 

495 

30 

Sugar  Land  

Sulphur  Springs 

Sweetwater 

15,544 

428 

436 

126 

249 

34 

14,416 

682 

689 

3 

5 

31 

173 

407 

63 

13,290 

619 

619 

3 

73 

146 

368 

25 

Taylor       

11,526 

698 

702 

2 

4 

11 

35 

180 

439 

27 

Temple 

46,998 

3,376 

3,388 

6 

50 

60 

56 

834 

2,204 

166 

Terrell 

14,558 

1,106 

1,116 

5 

5 

33 

37 

316 

634 

76 

Texarkana 

34,339 

3,445 

3,466 

5 

25 

43 

179 

1.006 

2.036 

151 

Texas  City 

45,440 

4,026 

4,066 

7 

3 

109 

218 

1.105 

2.346 

238 

The  Colony 

Tyler         

22,537 
76,188 

1.128 

1,129 

2 

16 

323 

756 

30 

9,098 

9,120 

13 

87 

143 

333 

2,213 

5.842 

467 

Universal  City 

University  Park 

12,182 
23,870 

722 

727 

3 

33 

171 

478 

37 

1,056 

1,058 

1 

6 

20 

166 

821 

41 

Uvalde 

15,555 

561 

561 

1 

24 

152 

345 

39 

Vernon 

13,942 

671 

1 

3 

14 

378 

26 

Victoria 

57,503 

4,220 

4,249 

2 

25 

58 

314 

1,207 

2,463 

151 

Vidor 

13,704 

686 

692 

2 

16 

24 

214 

391 

39 

Village       

21,150 

287 

289 

1 

2 

2 

5 

72 

177 

28 

Waco 

108,649 

11,784 

11,818 

16 

69 

247 

609 

3,748 

6.537 

558 

Watauga 

17,529 

735 

737 

2 

5 

24 

202 

453 

49 

Waxahachie 

16,441 

1,439 

1,454 

2 

6 

24 

89 

367 

845 

106 

Weatherford 

14,659 

1,225 

1,230 

1 

5 

12 

25 

354 

721 

107 

Weslaco      

23,667 

2,084 

2,088 

11 

90 

595 

1.257 

131 

West  University  Place 

13,527 

528 

529 

1 

22 

3 

112 

346 

44 

White  Settlement 

16,266 

852 

854 

4 

1 

7 

12 

160 

583 

85 

Wichita  Falls 

103,188 

9,071 

9,209 

17 

65 

278 

309 

2,451 

5.475 

476 

1 

UTAH 

American  Fork 

15,178 

580 

580 

, 

1 

15 

65 

480 

18 

Bountiful 

34,584 

1,137 

1,144 

5 

42 

194 

858 

34 

Brigham  City 

16,464 

627 

628 

1 

25 

78 

494 

29 

Cedar  City 

12,433 

388 

388 

2 

1 

12 

60 

285 

28 

Clearfield  

22,036 

632 

640 

2 

6 

24 

108 

466 

26 

Kaysville   .   

11,859 

347 

347 

1 

10 

53 

273 

10 

31,509 

1,519 

1,553 

2 

2 

7 

230 

1,173 

63 

Logan        

29,000 

1,224 

1,224 

1 

7 

2 

84 

147 

926 

57 

Midvale 

11,743 

1,021 

1,021 

1 

7 

10 

44 

163 

746 

50 

Murray 

27,148 

3,195 

3,196 

' 

6 

27 

73 

480 

2,486 

122 

Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1986 — Continued 


UTAH— Continued 


M.^HleJ' 


orth  Ogde 
gden 


10,557 
68.737 
61,378 
13,068 
10,261 


oy... 

Jt  Lake  City 


74,740 
22,668 
16,680 
166,182 
64.014 


1,265 
20,282 
2,388 


rath  Ogden 
luth  Salt  Lake 
lanish  Fork 
iringville 


Valley 


mningtun 
attleboro 
irlington 
jlchester 


10,101 
17,026 
12,331 

38,599 


ltland 

uth  Burlington 

ringfield 


eaandria   

exandna  State  Police 

'lington  

■lington  State  Police 
acksburg 

istol 

istol  State  Police 

tarlottesville 

larlottesville  State  Police 

tesapeake 

lesapeake  State  Police 

iristiansburg  

ilonial  Heights 

ilonial  Heights  State  Police 

inville  State  Police 

Wax  City 

irfax  City  State  Police 

edericksburg 

edericksburg  State  Police 

ont  Royal 

impton  

tmpton  State  Police 

irrisonburg 

:rndon 


109,902 
158,344 
31,252 
19,029 
41,681 


21,036 
19,550 


2,182 

1 

2,963 


ipewell 
esburg 
nchburg 


24,928 
10,495 
69,105 


107 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,   1986 — Continued 


Modified' 


negligent 
slaughter 


VIRGINIA— Continued 


Martinsville 
Newport  News     . 
Newport  News  Stale  Police 

Norfolk 

Norfolk  State  Police 


Petersburg 

Petersburg  State  Police 

Poquoson 

Portsmouth 

Portsmouth  State  Police 


Radford 

Radford  State  Police 

Richmond 

Richmond  State  Police 
Roanoke 


Roanoke  State  Police 

Salem 

Salem  State  Police 

Staunton 

Staunton  State  Police 

Suffolk 

Suffolk  State  Police 

Vienna 

Virginia  Beach 

Virginia  Beach  Stale  Police 

Waynesboro 

Williamsburg 

Williamsburg  State  Police 

Winchester 

Winchester  State  Police 


WASHINGTON 


Auburn    

Bellevue 

Bellingham 

Bremerton 
Centralia 
Des  Moines 

Edmonds 

Ellensburg 

Everett 

Kelso 

Kennewick 

Kent 

Kirkland 

Longview 

Lynnwood 

Mercer  Island 
Moses  Lake 

Mountlake  Terrace 

Mount  Vernon 

Oak  Harbor 

Olympia 

Pasco 


13,785 
224.443 
103,394 


24.878 
22,457 


17,697 
10,065 
29,855 
80,657 
46,306 

36,139 

12,239 
13,465 
28,787 
11,891 

58,254 
10,973 
40,044 
26,878 
19,036 

15,079 
30,227 
23,737 
21,310 
11,119 

16,438 
14,534 

12,421 


18,257 

27 

7,995 


18,369 

28 

K.I  (13 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns   10,000  and  over  in  Population,   1986 — Continued 


WASHINGTON— Continued 


Port  Angeles 

Pullman 

Puyallup 

Redmond 

Renton 

Richland 

Seattle 

Spokane 

Tacoma 

Vancouver 

Walla  Walla 

Wenatchee 

Yakima 


WEST  VIRGINIA 

Beckley 

Bluefield 

Charleston 

Clarksburg 

Fairmont 

Huntington 

Martinsburg 

Morgantown 

Moundsville 

Parkersburg 

Saint  Albans  

South  Charleston 

Vienna        

Weirton    

Wheeling    


WISCONSIN 

\ppleton 

\shwaubenon  Village 

Heaver  Dam 

Seloit 

Brookfield 

Brown  Deer 

Caledonia  

Chippewa  Falls 

Cudahy 

De  Pere 

Bau  Claire 

Fond  du  Lac 

Franklin 

31endale        

jreen  Bay    

3reendale 

jreenfield         

lanesville 

Kenosha  

La  Crosse 

Madison  

Manitowoc  

Marinette 

Uarshfield      


17,427 
24,022 
19,073 
28,184 
34,240 

33.916 
501,279 
177,893 
163,614 

44,536 

26,246 
18,182 
50.228 


32,811 
51,708 
75,958 


3,901 

1,517 
67,740 
15,561 
22,365 

3,742 

2,71 


20,091 

940 

15,012 

493 

58,358 

6,874 

21,014 

587 

22.433 

939 

60,043 

4,327 

12.931 

1,125 

27,312 

1,325 

62.598 
14,973 

2,388 
1,118 

13,981 

610 

34,177 

3,216 

33,483 

1,220 

13,093 

484 

21,837 

422 

12.521 

482 

19.448 

931 

15,734 

453 

54,113 

2,974 

36,141 

1,691 

18,630 

412 

1,53 
68,091 
15,685 
22,503 

3,765 

2,738 
2,024 
7,694 


3,017 
11,202 
1,575 


41,625 
9,399 

12.963 
2,216 


Table  6.  —  Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1986 — Continued 


City  by  State 

Index 

Modified* 
Crime 

Murder 
and  non- 
negligent 

slaughter 

Forcible 
rape 

Robbery 

Aggra- 

Burglary 

"ff 

5 

Arson- 

WISCONSIN— Continued 

Menasha 

14,715 

767 

769 

21 

172 

565 

9 

Menasha  Town 

13,049 

27,126 

421 

774 

421 

777 

4 

1 

3 

12 

114 
168 

281 
553 

13 
37 

Menomonee  Falls 

Menomonie 

12,899 

843 

850 

1 

2 

3 

110 

712 

15 

Mequon  

Merrill 

16,275 

226 

227 

1 

1 

31 

181 

12 

10,053 

454 

454 

4 

65 

382 

2 

Middleton      

12,955 

426 

426 

2 

3 

26 

72 

311 

12 

Milwaukee1 

623,278 

48,909 

49,209 

83 

444 

2,207 

3,401 

8,417 

28,051 

6,306 

30 

Monroe   

10,311 

397 

400 

1 

2 

1 

74 

301 

18 

Muskego   

Neenah    

15,724 

266 

266 

56 

202 

8 

22,636 

1,000 

1,006 

1 

1 

4 

4 

160 

805 

25 

New  Berlin 

30,537 

616 

631 

2 

5 

22 

132 

435 

20 

1 

Oak  Creek 

17,945 

604 

607 

1 

1 

13 

93 

468 

28 

Onalaska 

10,328 

388 

389 

3 

1 

7 

36 

336 

5 

Oshkosh 

50,349 

3,088 

3,099 

5 

11 

42 

443 

2,520 

67 

1 

Pleasant  Prairie 

12,535 

321 

323 

11 

60 

233 

15 

Racine 

83,767 

7,253 

7,359 

5 

76 

329 

566 

2,033 

3,987 

257 

10 

Saint  Francis 

10,095 

365 

368 

1 

3 

10 

104 

226 

21 

Sheboygan 

47,879 

2,450 

2,465 

6 

11 

49 

422 

1,875 

87 

1 

Shorewood     

14,859 

544 

546 

1 

36 

13 

148 

326 

20 

South  Milwaukee 

21,008 

748 

769 

2 

5 

29 

204 

480 

28 

2 

Stevens  Point 

21,719 

1,486 

1,492 

1 

5 

2 

32 

255 

1,154 

37 

Two  Rivers 

13,284 

474 

476 

1 

8 

67 

384 

14 

Watertown    

18,287 

505 

509 

2 

4 

104 

375 

16 

Waukesha 

51,783 

1,046 

1,058 

1 

5 

11 

29 

146 

797 

57 

1 

Wausau 

31,944 

2,199 

2,216 

4 

9 

41 

366 

1,721 

58 

1 

Wauwatosa 

51,090 

1,968 

1,974 

1 

6 

48 

14 

296 

1,453 

150 

West  Bend 

21,780 

937 

939 

2 

23 

47 

846 

19 

Whitefish  Bay 

14,655 

402 

403 

2 

7 

9 

34 

338 

12 

Whitewater 

11,429 

441 

444 

2 

51 

379 

9 

Wisconsin  Rapids 

18,984 

1,066 

1.069 

4 

46 

185 

806 

25 

WYOMING 

Casper 

Cheyenne       

49,160 

3,143 

3,162 

13 

30 

160 

770 

2,042 

128 

1 

50,495 

2,945 

2,953 

7 

10 

45 

431 

2,361 

78 

Evanston 

12,990 

814 

816 

2 

3 

4 

112 

104 

548 

41 

Gillette 

20,409 

962 

968 

8 

11 

18 

140 

754 

31 

Green  River            

13,723 

719 

719 

1 

2 

58 

109 

536 

13 

Laramie     

25,043 

1,063 

1,064 

1 

2 

7 

77 

943 

33 

Rawlins 

11,044 

591 

596 

1 

2 

6 

7 

122 

435 

18 

Rock  Springs             

20,909 

1,692 

1,699 

11 

16 

180 

301 

1,073 

111 

Sheridan 

16,420 

558 

566 

2 

1 

6 

61 

458 

30 

Aggravated  assault  and  burglary  figures  are  not  comparable  to  prior  years. 

2Forcible  rape  figures  furnished  by  the  state-level  Uniform  Crime  Reporting  (UCR)  Program  administered  by  the  Illinois  Department  of  State  Poh< 
with  national  UCR  guidelines.  Forcible  rapes  for  Illinois  agencies  are  shown  only  if  the  counts  were  supported  by  supplemental  reports. 
^Aggravated  assault  figures  are  not  comparable  to  prior  years. 


Table  7.  —  Number  of  Offenses  Known  to  the  Police,  Universities  and  Colleges,  1986 

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


University/College 


Violent    Crime 


Murder 
negligent 
slaughter 


ALABAMA 

Auburn  University: 

Main  Campus 

Montgomery 

Jacksonville  State  University 

University  of  Alabama,  Tuscaloosa 

ARIZONA 

Arizona  State  University 

Arizona  Western  College 

Central  Arizona  College 

Northern  Arizona  University 

Pima  Community  College 

University  of  Arizona 

Yavapai  College 

ARKANSAS 

University  of  Arkansas: 

Fayetteville 

Little  Rock 

Medical  Science 


CALIFORNIA 

Cabrillo  College 

California  State  College: 

Bakersfield 

San  Bernardino 

Stanislaus 

California  State  Polytechnic  Universit 

Pomona  

San  Luis  Obispo 

California  State  University: 

Chico 

Dominguez  Hills 

Fullerton  

Hayward 

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  State  University 

Sonoma  State  University 

University  of  California: 

Berkeley  

Davis  

Lawrence  Berkeley  Laboratory 

Lawrence  Livermore  Laboratory 

Los  Angeles 

Riverside 

Sacramento 

San  Diego 

San  Francisco 

Santa  Barbara     

Santa  Cruz 

West  Valley  College 

Yosemite  Community  College 


I7.t>lh 
4.252 
6,246 

13.JW 


2,211 
10,106 
10,042 
25.478 


2.61b 

4.42.S 
2,157 


14,860 

13.041 
5,835 
14,231 
17.204 
9,381 
23,798 
14,026 
21,501 
18,472 
3,486 
4,359 
3,158 
12.066 
5.530 
3,442 
27,424 


4,205 

29,745 

18,639 

12,244 

0 

ft 

33,064 

4,605 
(') 
13,884 

3,632 
16,587 

6,929 


Table  7.  —  Number  of  Offenses  Known  to  the  Police,  Universities  and  Colleges,  1986 — Continued 


Murder 


COLORADO 

Adams  State  College 
Arapahoe  Community  College 
Auraria  Higher  Education  Center 
Colorado  State  University 
Red  Rocks  Community  College 
University  of  Colorado: 

Boulder 

Colorado  Springs 

Medical  Center    

University  of  Denver 

University  of  Northern  Colorado 
University  of  Southern  Colorado 


CONNECTICUT 

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

Avery  Point 

Health  Center      

Main  Campus 

Western  Connecticut  State  University 
Yale  University 


21,216 
3,640 

C) 
5,769 
8,116 
3,680 


FLORIDA 

Florida  A  &  M  University 

Florida  Atlantic  University 

Florida  International  University 

Florida  State  University 

University  of  Central  Florida 

University  of  Florida     

University  of  North  Florida 
University  of  South  Florida: 

Saint  Petersburg 

Sarasota 

University  of  West  Florida 
GEORGIA 

Albany  State  College 

Cherokee  College 

Georgia  Institute  of  Technology 

Georgia  Southern  College 

Georgia  Southwestern  College 

Georgia  State  University 

North  Georgia  College 

University  of  Georgia 

Valdosta  State  College 

West  Georgia  College  

ILLINOIS5 

Black  Hawk  College 

Chicago  State  University 

College  of  DuPage 

Eastern  Illinois  University 

Governors  State  University 

Illinois  State  University 

Joilet  Junior  College  

Lake  County  College     

Northeastern  Illinois  Slate  University 
Northern  Illinois  University 
Southern  Illinois  University: 

Carbondale 

Edwardsville 
Thornton  Community  College 
Triton  College 


11,583 
32,367 
3,681 

(4) 
(*) 
(') 
4,072 


23,260 
5,422 
4,999 


3,576 
5,158 

11,549 
9,748 
2,314 

18,693 
4,926 
4,544 
6,541 


20,169 
8,222 
3,937 
8,662 


Table  7.  —  Number  of  Offenses  Known  to  the  Police,  Universities  and  Colleges,  1986 — Continued 


University/College 


Violent  Crime 


negligent 


ILLINOIS5— Continued 

University  of  Illinois: 

Chicago  

Urbana 
Western  Illinois  University 
William  Rainey  Harper  College 


INDIANA 


iana  University: 
Bloomington 
Gary 

Indianapolis 
New  Albany 


Iowa  State  University 

University  of  Iowa 

University  of  Northern  Iowa 


KANSAS 

Empona  State  University 

Kansas  State  University, 

Manhattan  

Kansas  University  Medical  Center 
Pittsburg  State  University 
University  of  Kansas 
Wichita  State  University 


KENTUCKY 

Eastern  Kentucky  University 

Morehead  State  University 
Murray  State  University 
Northern  Kentucky  University 
University  of  Kentucky 

University  of  Louisville 

Western  Kentucky  University 

LOUISIANA 

Louisiana  State  University, 

Baton  Rouge 

Louisiana  Tech  University 

Northeast  Louisiana  University 
Southeastern  Louisiana  University 

MAINE 

University  of  Maine,  Orono 

University  of  Southern  Maine 

MARYLAND 

Bowie  State  College     

Coppin  State  College 

Morgan  State  University 

Saint  Mary's  College 
Salisbury  State  College 
Towson  State  University 
University  of  Baltimore 
University  of  Maryland: 

Baltimore  City 

Baltimore  County 

College  Park 

Eastern  Shore       


20,730 
34,410 
9,915 


29, 

2,888 
(4) 

2,834 


(4: 

25,929 
10,003 


10,543 
4,629 
6,124 
5,988 
17,259 
13,738 
9,139 


9,451 

9,790 

7.7S4 


Table  7.  —  Number  of  Offenses  Known  to  the  Police,  Universities  and  Colleges,  1986 — Continued 


University/College 


negligent 


MASSACHUSETTS 


Boston  College 

Framingham  State  College 

Massachusetts  Institute  of  Technology 
North  Adams  State  College 

Northeastern  University 

University  of  Massachusetts: 

Harbor  Campus-Boston 

Wentworth  Institute  of  Technology 


MICHIGAN 


Central  Michigan  University 

Delta  College 

Eastern  Michigan  University 

Ferris  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  Missouri: 

Columbia 

Saint  Louis 
Washington  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 
Rutgers  University: 

Camden 

Newark 

New  Brunswick 
Stockton  State  College 
Trenton  State  College 


9,425 
2,284 

25,695 


15,153 
6,248 
14,601 
10,399 
5,632 
2,303 
9,375 
12,729 
38,051 
6,164 
6,123 
9,007 
3,201 


20,627 
7,642 
8,056 


5,568 
2,957 
3,726 
6,323 
8,304 
6,175 
2,897 
9,938 

3,395 
6,466 

27,239 


Table  7.  —  Number  of  Offenses  Known  to  the  Police,  Universities  and  Colleges,   1986 — Continued 


Student 

« 

Violent  Crime 

Property' 

Property  Crime 

University/College 

negligent 

Forcible 

Robbery 

Aggra- 

Burglary 

>"■ 

theft 

Arson- 

NEW  JERSEY— Continued 

Jniversity  of  Medical  and  Dentistry: 

Newark 

Piscataway 

William  Paterson  College 

(4) 
C) 
6,896 

54 
1 
3 

21 

33 
1 
3 

574 
120 

5 

494 
37 
108 

75 
6 
7 

NEW  MEXICO 

4,778 
11,298 
18,656 

15 
12 

2 

6 

13 
8 

158 
410 
898 
81 

37 
43 
48 
24 

118 
348 
805 
54 

3 

19 
45 

3 

. 

Jniversity  of  New  Mexico  . 

4 

NEW  YORK 

thaca  College 

5.386 
6,426 

2 
1 

' 

246 
316 

8 

63 

238 
253 

Rensselaer  Polytechnic  Institute 

NORTH  CAROLINA 

Appalachian  State  University 

East  Carolina  University           

Vorth  Carolina  State  University.  Raleigh 
Jniversity  of  North  Carolina: 

9,366 
13,375 
20,057 

1,982 
20,243 
9,248 
5,377 
5,369 

10 
53 

22 
3 
9 

2 

2 

1 

1 

3 
8 

45 

220 
479 
1,061 

67 
657 
265 
244 

5 
99 
163 

24 
37 
86 
10 

214 
377 
861 

43 

595 
177 
229 

3 

37 

25 
2 
5 

1 
7 

Chapel  Hill 

Charlotte 

1 

19 
2 
9 

4 

Wilmington 

Western  Carolina  University 

NORTH  DAKOTA 

Jniversity  of  North  Dakota 

9,724 

8 

3 

5 

327 

10 

314 

3 

OHIO 

Jowling  Green  University 

Cleveland  State  University 
Cuyahoga  Community  College 
^akeland  Community  College 

15.997 
11,728 
13,088 
4,246 
14,815 
47,081 
18.951 
21.732 
16,117 
11,203 

7 
20 

7 
23 

7 
43 
10 

7 

i 

1 

2 
9 
2 

12 

5 
3 
3 

5 

6 
6 

34 

823 
322 
108 
69 
487 
1,851 
668 
923 
561 
266 

197 
12 

1 

7 

394 
145 
157 
71 
17 

266 

64 
68 
478 
1,444 
517 
761 
468 
229 

11 
44 
3 

2 
13 
6 
5 
22 
20 

2 

)hio  State  University 

Jniversity  of  Akron    

Jniversity  of  Cincinnati 

Jniversity  of  Toledo 

I'oungstown  State  University 

5 

OKLAHOMA 

Central  State  University 

Northeastern  Oklahoma  State  University 

Oklahoma  State  University 

*utnam  City  Campus 

rulsa  Junior  College  

9,765 
6,402 
19,462 

C) 

7,484 
2,195 

5 
7 

1 

4 
7 

150 
147 
513 
109 
48 

105 

30 
48 
126 
42 

10 

110 
94 

374 
64 
48 

83 

10 
5 

13 
3 

12 

3 

Jniversity  of  Oklahoma: 
Health  Science  Center 

26 

OREGON 

Jregon  State  University 

447 

2 

PENNSYLVANIA 

Hoomsburg  University 

5,634 
4,339 
1,316 
4,937 
3,756 
5,138 

2 
7 
6 

11 

3 

2 
7 
6 

10 
3 

100 
77 
49 
99 
125 
110 

2 
13 
9 

9 
8 

97 
63 
40 
97 
114 
101 

1 

1 
2 

^lifomia  University  

1 

.' 

. 

xlinboro  University     

115 


Table  7.  —  Number  of  Offenses  Known  to  the  Police,  Universities  and  Colleges,  1986 — Continued 


University/College 


Violent  Crime 


negligent 
slaughter 


Property  Crime 


PENNSYI.V  AMA— Continued 


Elizabethtown  College 

Indiana  University 

Kutztown  University  

Lehigh  University  

Lock  Haven  University 

Mansfield  University    

Millersville  University 

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 

of  Rhode  Island 


SOUTH  CAROLINA 


Clemson  University 

Medical  University  of  South  Carolina 
University  of  South  Carolina 


TENNESSEE 

East  Tennessee  State  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 

North  Harris  County  College 

North  Texas  State  University 

Pan  American  University 

Richland  College 

Southern  Methodist  University 

South  Plains  College 

Southwest  Texas  State  University 

Southwestern  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  Osteo.  Med 

Texas  Southern  University 

Texas  State  Technical  Institute: 


Waco 

Texas  Tech.  University 

Texas  Tech.  Health  Science  Center 
Texas  Woman's  University 


1,455 
11,779 
5,442 
5,435 
2,590 
2,661 
5,518 


1,644 
1,056 
33,120 
5,394 
5,769 
707 
8,022 


11,611 
1,763 
19,126 


4,358 
4,647 

10,834 
2,979 
3,433 
6,893 

17,214 
6,801 
7,041 
7,793 
2,625 

17,371 
1,059 

11,347 


33,229 

570 

4,209 

7,059 


7 

2 

5 

4 

22 

20 

4 
2 

15 

5 

116 


able  7.  —  Number  of  Offenses  Known  to  tbe  Police,  Universities  and  Colleges,  1986 — Continued 


niversity  of  Houston: 

Central  Campus 

Clear  Lake        

Downtown  Campus 

niversity  of  Texas: 

Arlington    

Austin  

Dallas  

El  Paso    

Galveston 

Houston      

Permian  Basin 

San  Antonio 

Health  Science  Center,  San  Antonio 
niversity  of  Texas  Southwest 
Medical  School 


UTAH 

righam  Young  University 

niversity  of  Utah 

tah  State  University 

tah  Technical  College: 

Provo  

Salt  Lake 

eber  State  College 

VIRGINIA 

jristopher  Newport  College 

allege  of  William  &  Mary 

eorge  Mason  University 

mes  Madison  University 

Migwood  College 

ary  Washington  College 

Id  Dominion  University 

idford  University 

tomas  Nelson  Community  College 

niversity  of  Richmond 

niversity  of  Virginia 

rginia  Commonwealth  University 
rginia  Polytechnic  Institute  and 
State  University 

WASHINGTON 

aitral  Washington  University 

istern  Washington  University 

niversity  of  Washington 

ashington  State  University 

WEST  VIRGINIA 

uefield  State  College 

mcord  College 

lenville  State  College 

arshall  University 

est  Liberty  State  College 

est  Virginia  Institute  of  Technology 

est  Virginia  State  College 

est  Virginia  University 

WISCONSIN 

uversity  of  Wisconsin: 

Eau  Claire 

Green  Bay 

Madison    

Milwaukee 


4,572 
11,569 
(4) 
ft 


27,685 
19,760 
9,547 

4,85 
5,462 
8,461 


2,706 
6,092 

11,73 
8,959 
2,555 
2,703 

11,495 
6,254 
2,981 
3,653 

16,450 

14,344 

21,764 


6,320 
7,410 
30,072 
15,377 


1,632 
1.998 
1,356 
B,30« 
2.236 

:,50^ 

3.0-3 
15.774 


9,964 
3,750 

40,506 

19, 


Table  7.  —  Number  of  Offenses  Known  to  the  Police,  Universities  and  Colleges,  1986 — Continued 


Student 

?-" 

Violent  Cnme 

"=' 

Property  Crime 

University/College 

Murder 
negligent 

Forcible 
rape 

Robbery 

Aggra- 

Burglary 

theft 

vehicle 

Arson- 

WISCONSIN— Continued 

Oshkosh  

9,233 
3,628 
9,715 

9,003 

3 

2 

236 
64 
152 

272 

17 
18 

235 
129 

249 

1 

6 

5 

WYOMING 

University  of  Wyoming 

, 

figures  provided  by  the  U.S.  Department  of  Education  are  for  1985,  the  most  recent  year  available. 

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

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

*Student  enrollment  figures  are  not  available. 

'Forcible  rape  figures  furnished  to  the  state-level  Uniform  Cnme  Reporting  (UCR)  Program  administered  by  the  Illinois  Department  of  State  Police  were  not  in  accordance  with 
national  UCR  guidelines    Forcible  rapes  for  Illinois  agencies  are  shown  only  if  the  counts  were  supported  by  supplemental  repons.  Leaders  (...)  indicate  zero  data 

NOTE:  Caution  should  be  exercised  in  making  any  inter-campus  compansons  or  ranking  schools,  as  university/college  cnme  statistics  are  affected  by  a  vanety  of  factors.  These 
include:  demographic  charactenstics  of  the  surrounding  community,  ratio  of  male  to  female  students,  number  of  on-campus  residents,  accessibility  of  outside  visitors,  size  of 


118 


rable  8.  —  Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,  1986 

The  data  shown  in  this  table  do  not  reflect  county  total 
'  Arson  is  shown  only  if  12  months  of  arson  data  were 
offenses,  including  arson. 


the  sum  of  the  Crime  Index 


County  by  State 


Murder 
negligent 


Vutauga 

Jaldwin 

Jlounl 

Calhoun 

Albert 

Sale 

ilmore 

Etowah 

iouston 

efferson 

^auderdale 

iladison 

Mobile 

ilontgomery 

lussell 

laint  Clair 


ARIZONA 

Maricopa 

ARKANSAS 

:rawford  

Mttenden      

efferson  

filler 
"ulaski 


C'AIIFORNIA 


dameda 

klameda  Highway  Patrol 

dameda  State  Police 

lutte 

lutte  Highway  Patrol 

lutte  State  Police 

bntra  Costa 

Contra  Costa  Highway  Patrol 

lontra  Costa  State  Police 

:l  Dorado   

il  Dorado  Highway  Patrol 


2,661 
8.872 


Lent  Highway  Patro! 
Lem  State  Police 

.os  Angeles  

.c*  Angeles  Highway  Patr 

.os  Angeles  State  Police 

larin 

4arin  Highway  Patrol 

ierced 

lerced  Highway  Patrol 

lonterey 

lonterey  Highway  Patrol 

Japa  Highway  Patrol 

)range  Highway  Patrol 


119 


Table  8.  —  Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,  1986— Continued 


Crime 
Index 
total 


.'odlfk-d* 

Crime 

total 


Murder 
negligent 


Aggra- 
vated 


CALIFORNIA— Continued 

Orange  State  Police 

Placer 

Placer  Highway  Patrol 

Riverside 

Riverside  Highway  Patrol 

Riverside  State  Police 

Sacramento 

Sacramento  Highway  Patrol 

Sacramento  State  Police 

San  Bernardino 

San  Bernardino  Highway  Patrol 
San  Bernardino  State  Police 

San  Diego 

San  Diego  Highway  Patrol 

San  Diego  State  Police 

San  Joaquin  Highway  Patrol 

San  Joaquin  State  Police 

San  Mateo 

San  Mateo  Highway  Patrol 

San  Mateo  State  Police 

Santa  Barbara 

Santa  Barbara  Highway  Patrol 

Santa  Clara .... 

Santa  Clara  Highway  Patrol 

Santa  Clara  State  Police 

Santa  Cruz 

Santa  Cruz  Highway  Patrol 

Shasta  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  Highway  Patrol 

Ventura       

Ventura  Highway  Patrol 

Yolo 

Yolo  Highway  Patrol 

Yolo  State  Police 

Yuba 

Yuba  Highway  Patrol 


COLORADO 


Adams 

Boulder 

El  Paso 

Jefferson 

Larimer 

Pueblo 

Weld 


DELAWARE 


3,322 
26,147 


39 
23,092 

65 
6,861 

54 

6 

4,746 

3,590 

47 
4,008 

2,761 

37 
845 

8 

4,478 

20 
5,615 

3 
1,319 

5,968 

2,316 

2,707 


4,796 
4,431 

1,430 


13 

18 

7,949 

9,315 

27 

18 

38 

2,736 

3,538 

73 

7 

41 

555 

2,330 

4,274 
1,064 

373 


Table  8.  —  Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,   1986 — Continued 


County  by  State 


Modified* 

Index 

total 


Murder 
and  non- 
negligent 

slaughter 


Aggra- 
assault 


FLORIDA 

Alachua       

Bay 

Bradford 
Brevard 
Broward 

Clay  

Collier 

Dade 

Escambia        

Gadsden       

Hernando      

Hillsborough  

Lee 

Leon  

Manatee         

Marion  

Martin  

Nassau  

Dkaloosa  

Dsceola 

Palm  Beach     

Pasco 

Pinellas 
^olk 

saint  Johns  

Saint  Lucie 

Santa  Rosa 

Seminole 

/olusia  

GEORGIA 

Harrow 

3ibb 

Jutts  

Chatham        

Chatham  Police  Departme 

Chattahoochee 

Cobb 

Cobb  Police  Department 

Columbia        

Dade 

DeKalb 

DeKalb  Police  Depanmen 

iffingham      

-ulton  

Julton  Police  Department 

jwinnett        

ienry 

dadison         

■Jewton 

)conee  

"each 

Richmond      

tockdale 

Ipalding         

Valker 

Valton  


2,649 

30,332 
6,947 
1,863 

11,274 
4.556 
3,30 
1,275 
2,640 

25,088 
2,177 

24,362 
9,631 

11,744 


3,113 
2,382 
10,393 
5,628 
5,202 


6,976 
1,876 

11,324 


2,645 
25,145 
2,186 
24,416 
9,714 
11,804 
15,269 
3,473 
3,125 
2,391 
10,420 
5,667 
5,225 


1,862 

4,252 

3,130 

5,286 

723 

2,224 

1,812 

3,089 

24,772 

47,676 

3,554 

7,517 

233 

207 

837 

1,330 

8,433 

16.94C 

2,540 

3,442 

7,534 

12,748 

2,644 

5,617 

3,992 

6,227 

3,918 

8,633 

902 

1,703 

1,077 

1,512 

699 

1,294 

2,827 

6,422 

1,671 

2,961 

2,181 

2,297 

505 

20,257 

120 

160 

402 

610 

10 

35 

.035 

4,250 

,971 

6,555 

Table  8.  —  Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,   1986 — Continued 


Index 
total 


Modified* 
Crime 

total 


Murder 
and  non- 
negligent 

slaughter 


Boone 


Clinton 
Cook 
Du  Page 
Gmndy 

Kane 

Kankakee 

Kendall 

Lake 

McHenry 

McLean 

Madison 
Menard 
Monroe 

Peoria 

Rock  Island 
Saint  Clair 
Sangamon 
Tazewell 

Will 

Winnebago 
Woodford 


347 
305 
1,428 
795 


INDIANA 


Allen 

Allen  State  Police 

Elkhart 

Elkhart  State  Police 

Hamilton 

Hamilton  State  Police 

Howard 

Howard  State  Police 

Lake 

Lake  State  Police 

Marion 

Marion  State  Police 

Monroe 

Monroe  State  Police 

Porter 

Porter  State  Police 

Saint  Joseph 

Saint  Joseph  State  Police 

Tippecanoe    

Tippecanoe  Stale  Police 

Vanderburgh 

Vanderburgh  State  Police 


1,984 
211 
793 


IOWA 


Black  Hawk 


Dallas 

Dubuque 

Johnson      

Polk 

Pottawattamie 

Scott 

Warren 

Woodbury 

KANSAS 

Butler 

Douglas 


122 


Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,   1986 — Continued 


Crime 
total 


Modified* 

Index 

total 


lirL'llL'rnI 

man- 
slaughter 


Aggra- 
vated 
assault 


KANSAS— Continued 


Jefferson  

Johnson 

Leavenworth     

Sedgwick 

Shawnee  

Wyandotte 

KENTUCKY 

Boone    

Boone  Police  Department 

Boone  State  Police 

Bourbon     

Bourbon  State  Police 

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 

Jessamine  State  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 
Saint  Charles 

Saint  Tammany 

West  Baton  Rouge 


9,224 
28,298 
2,454 


2.465 
5.44D 
16.487 
1,324 


Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,  1986— Continued 


Index 
total 


Modified* 
Crime 

total 


Murder 
negligent 
slaughter 


Forcible 


Androscoggin 

Androscoggin  State  Police. 
Cumberland 
Cumberland  State  Police 


MARYLAND 

Allegany  

Allegany  County  Investigator 

Allegany  State  Police 

Anne  Arundel  Police  Department 

Anne  Arundel  State  Police 

Baltimore  Police  Department 


Ball 


Polk 


Police 


Calvert 

Calvert  State 

Carroll   . 

Carroll  State  Police 

Cecil 

Cecil  State  Police 

Charles 

Charles  State  Police 

Frederick 

Frederick  State  Police 

Harford  

Harford  State  Police 

Howard 

Howard  State  Police 

Montgomery 

Montgomery  Police  Department 

Montgomery  State  Police  

Prince  Georges 

Prince  Georges  Police  Department 
Prince  Georges  State  Police 

Queen  Anne's 

Queen  Anne's  State  Police 

Washington 

Washington  State  Police 

MICHIGAN 


Bay 

Bay  State  Police 

Berrien 

Berrien  State  Police  

Calhoun 

Calhoun  State  Police 

Clinton 

Clinton  State  Police 

Eaton  State  Police 

Genesee  State  Police 

Ingham 

Ingham  State  Police 

Jackson 

Jackson  State  Police 

Kalamazoo  

Kalamazoo  State  Police 

Kent 

Kent  State  Police 

Lapeer  State  Police 

Livingston  

Livingston  State  Police 

Macomb 

Macomb  State  Police 

Midland 

Midland  State  Police 


15,368 
1,626 

42,459 


Table  8.  —  Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,   1986 — Continued 


total 


Modified* 

Index 

total 


Aggra- 
vated 

assault 


MICHIGAN— Continued 

Muskegon 

Muskegon  State  Police 

Oakland 

Oakland  State  Police 

Ottawa 

Ottawa  State  Police 

Saginaw  State  Police 

Saint  Clair  

Saint  Clair  State  Police 
Washtenaw 

Washtenaw  State  Police 

Wayne 

Wayne  State  Police 

MINNESOTA 

Benton 
Carver 
Chisago 

Clay 
Dakota 

Hennepin     

Olmsted 

Ramsey  

Saint  Louis 

Scott 

Sherburne 

Steams 

Washington 

Wright 

MISSISSIPPI 


Buchanan       

Cass 
Christian 

Clay 

Franklin       

Lafayette 

Platte 

Ray 

:Saint  Charles 

Saint  Louis  Police  Depart! 

NEBRASKA 

pakota 

|Dakota  State  Patrol 

Douglas 

Douglas  State  Patrol 

jLancaster 

Lancaster  State  Patrol 

Sarpy 

Sarpy  State  Patrol 

Washington 

Washington  State  Patrol 


Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,   1986 — Continued 


County  by  State 

Crime 
total 

Modified* 
Crime 

total 

Murder 
negligent 
slaughter 

Forcible 

Robbery 

Aggra- 
vated 

Burglary 

theft 

Motor 
vehicle 
theft 

Arson* 

NEVADA 

Washoe 

1,715 

6 

70 

21 

89 

510 

915 

104 

NEW  JERSEY 

Atlantic  State  Police 

1,033 

1,045 

1 

7 

17 

36 

130 

805 

37 

Bergen  State  Police 

424 

425 

1 

11 

25 

18 

284 

85 

Burlington  State  Police 

898 

916 

1 

11 

11 

43 

247 

499 

86 

Camden  State  Police    

43 

44 

6 

7 

3 

25 

2 

Cape  May  State  Police 

390 

392 

1 

5 

24 

138 

193 

23 

Cumberland  State  Police 

932 

948 

2 

11 

g 

87 

356 

424 

44 

Essex  County  Police 

598 

609 

1 

38 

131 

132 

62 

192 

42 

Essex  State  Police    

71 

71 

1 

1 

17 

9 

36 

Gloucester  State  Police 

23 

23 

2 

3 

2 

15 

1 

Hudson  State  Police      

37 

37 

5 

7 

1 

20 

4 

Hunterdon  State  Police 

321 

325 

3 

3 

16 

107 

164 

28 

Mercer  State  Police 

293 

294 

4 

21 

250 

12 

Middlesex  State  Police 

142 

143 

5 

13 

1 

108 

15 

Monmouth  State  Police 

296 

299 

1 

1 

3 

19 

79 

171 

22 

Morris  State  Police 

59 

59 

2 

8 

41 

4 

Ocean  State  Police          

169 

171 

18 

26 

114 

7 

Passaic  State  Police 

27 

27 

1 

2 

3 

1 

12 

8 

Salem  State  Police  

488 

495 

3 

9 

29 

186 

222 

39 

Somerset  State  Police 

23 

23 

1 

6 

14 

2 

Sussex  State  Police  

496 

500 

1 

1 

26 

174 

252 

42 

Union  State  Police 

45 

45 

1 

7 

4 

3 

26 

4 

Warren  State  Police 

303 

308 

2 

2 

1 

22 

80 

163 

33 

NEW  MEXICO 

Bernalillo 

5,422 

5.445 

16 

52 

130 

551 

2,677 

1,693 

303 

Dona  Ana      

1,452 

1,475 

2 

20 

20 

113 

586 

626 

85 

Santa  Fe 

472 

473 

5 

2 

4 

79 

227 

121 

34 

NEW  YORK 

Albany             

130 

30 

36 

61 

3 

Albany  Slate  Police 

768 

787 

8 

3 

27 

252 

460 

18 

Broome 

790 

801 

1 

11 

2 

5 

182 

553 

36 

Broome  State  Police     

734 

742 

1 

4 

3 

23 

190 

501 

12 

Chemung 

498 

502 

1 

3 

2 

34 

138 

298 

22 

Chemung  State  Police  

513 

517 

1 

1 

2 

57 

81 

355 

16 

Dutchess 

1.192 

1.229 

2 

7 

138 

329 

671 

45 

Dutchess  State  Police 

1,227 

1.232 

1 

7 

17 

168 

365 

618 

51 

Greene 

5 

5 

5 

Greene  State  Police      

586 

5 

5 

89 

187 

279 

21 

Livingston 

715 

717 

3 

3 

79 

129 

492 

9 

Livingston  State  Police 

143 

143 

1 

9 

21 

107 

5 

Madison                             

105 

105 

3 

43 

59 

Madison  State  Police 

398 

1 

12 

1 

18 

171 

185 

10 

Monroe 

5,482 

5.531 

3 

20 

41 

50 

852 

4,254 

262 

i 

Monroe  State  Police 

851 

852 

1 

2 

4 

8 

74 

735 

27 

Montgomery 

158 

10 

60 

82 

6 

Montgomery  State  Police 

126 

129 

1 

1 

8 

29 

80 

7 

Nassau. 

32.559 

32,769 

19 

86 

1,006 

867 

6,542 

18,391 

5.648 

2 

Niagara 

1,857 

2 

18 

23 

121 

402 

1,177 

114 

Niagara  State  Police 

610 

616 

4 

3 

19 

165 

406 

13 

Oneida              

538 

543 

1 

4 

3 

4 

191 

319 

16 

Oneida  State  Police 

1.335 

1,354 

1 

9 

7 

77 

367 

853 

21 

Onondaga 

2,959 

2,961 

2 

41 

31 

169 

676 

1.886 

154 

Onondaga  State  Police 

1,545 

1.548 

1 

6 

7 

30 

266 

1.190 

45 

Ontario 

1,068 

1,073 

1 

10 

4 

75 

310 

630 

38 

Ontario  State  Police 

416 

418 

1 

20 

110 

279 

6 

Orange 

11 

11 

7 

1 

3 

Orange  State  Police 

1,507 

3 

7 

37 

72 

386 

918 

84 

Orleans 

307 

307 

1 

4 

3 

24 

87 

179 

9 

Orleans  State  Police 

137 

139 

1 

2 

30 

63 

41 

Oswego 

514 

565 

6 

3 

9 

130 

326 

40 

Oswego  State  Police  

664 

1 

11 

3 

16 

269 

355 

9 

Putnam 

649 

2 

23 

56 

173 

352 

43 

Table  8.  —  Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,   1986 — Continued 


NEW  YORK— Continued 

Putnam  State  Police 

Rensselaer  .... 

Rensselaer  State  Police 

Saratoga 

Saratoga  State  Police 

Schenectady  

Schenectady  State  Police 
Tioga 

Tioga  State  Police 

Warren 

Warren  State  Police 

Washington 

Washington  State  Police 

Wayne 

Wayne  State  Police 

Westchester 

Westchester  State  Police 

NORTH  CAROLINA 


Crime 
total 


Modified* 
Crime 

total 


Forcible 


Aggra- 
vated 
assault 


'!,„: 


nbe 


Burke 

Cabarrus  

Catawba 

Cumberland 

Davidson 

Durham      

Forsyth 
Franklin 
Gaston 
Guilford 

Mecklenburg 

New  Hanover 

Onslow 

Orange 

Randolph 

Stokes 
Union 
Wake 
Yadkin 

NORTH  DAKOTA 

Burleigh 

Cass 

Grand  Forks 

Morton 


4,078 
1.987 
2.542 


Clermont 

Fairfield 

Franklin 

Fulton 

Greene 

Hamilton 

Lake 

Lorain 

Madison 

Mahoning 

Montgomery 


Ttiblc  8.  —  Number  of  Offense*  Known  to  the  Police,  Suburban  Counties,   1986 — Continued 


County  by  State 

Crime 
Index 
total 

Modified* 
Crime 

total 

Murder 
and  non- 
negligent 

sl.illglll.-l 

Forcible 

Robbery 

Aggra- 
assault 

Burglary 

Larceny- 
theft 

Motor 

vehicle 
theft 

Arson* 

OHIO— Continued 

l'n  kn«  i\ 

903 

904 

2 

5 

5 

69 

336 

461 

25 

Richland 

1,202 

1,202 

1 

1 

9 

69 

329 

727 

66 

Sturk 

2,330 

2,353 

II 

38 

83 

843 

1,173 

182 

rrumbuU 

618 

622 

5 

4 

4 

78 

150 

293 

84 

Wiirmi 

1,67.1 

1 

6 

11 

61 

349 

1.143 

102 

Wuhington 

676 

683 

1 

5 

5 

11 

243 

383 

28 

Wood 

.147 

352 

1 

1 

12 

105 

214 

14 

OKLAHOMA 

Canadian 

2.14 

247 

4 

2 

2 

129 

80 

17 

Cleveland 

667 

679 

2 

13 

5 

67 

310 

232 

38 

Comanche 

248 

254 

2 

1 

1.1 

91 

122 

19 

Creek 

868 

876 

7 

2 

5 

60 

387 

261 

146 

<  lirfleld 

19S 

196 

1 

1 

89 

94 

10 

1  ogan 

52.1 

541 

6 

28 

238 

222 

29 

McClsln 

175 

180 

1 

3 

86 

55 

30 

Oklahoma 

418 

491 

2 

1 

7 

3 
10 

210 
227 

162 
188 

33 
55 

Pottawatomie 

655 

656 

5 

8 

62 

322 

222 

36 

Rogers 

715 

2 

2 

2 

37 

333 

275 

64 

Sequoyih 

292 

1 

9 

182 

75 

25 

IMlM 

2,061 

2,094 

1 

17 

26 

122 

682 

877 

336 

Was 

678 

686 

1 

2 

2 

29 

333 

239 

72 

OREGON 

Clackamas 

8.7.15 

8,772 

12 

44 

120 

95 

3.224 

4,352 

888 

t  i.i,  kamaa  State  Police 

2.W 

267 

52 

12 

41 

106 

28 

Jackson 

1.514 

1.540 

4 

14 

17 

61 

475 

869 

94 

Jackson  State  Police 

116 

325 

1 

1.1 

3 

53 

56 

126 

64 

i  .in. 

867 

871 

1 

3 

8 

2 

269 

551 

33 

i  line  State  Police 

1,290 

1.115 

2 

15 

25 

63 

621 

431 

133 

Mil  noil 

2,870 

2.875 

5 

23 

69 

161 

869 

1.588 

155 

Marion  State  Police 

560 

575 

2 

22 

10 

49 

119 

313 

45 

Multnomah 

6.879 

6.928 

5 

31 

151 

.160 

2.423 

3,429 

480 

Multnomah  State  Polii  e 

178 

178 

1 1 

10 

3 

142 

12 

Polk 

.167 

.167 

1 

7 

173 

163 

23 

Polk  State  Police 

26 

26 

1 

l.l 

11 

1 

Washington 

5.182 

5,206 

5 

38 

77 

29 

1.831 

2,935 

2t^ 

Washington  Slate  Police 

247 

260 

4 

16 

7 

20 

44 

119 

37 

Yamhill 

5.15 

536 

1 

3 

40 

203 

252 

36 

Yamhill  State  Police 

11 

7 

8 

PENNSYLVANIA 

Adams  State  Police 

59 1 

603 

4 

i: 

11 

2.1 

196 

294 

51 

Allegheny  Stall   Poll  > 

680 

(.SO 

.1 

5 

46 

75 

215 

214 

122 

Beavei  sin.   Polio 

21" 

241 

5 

2 

22 

.j  i 

89 

:s 

Berks  State  Police 

6.1') 

64.1 

2 

8 

14 

267 

29.1 

55 

iii.in  si. n.   Police 

424 

432 

4 

3 

17 

147 

214 

39 

Bucks  State  Police 

428 

4.18 

.1 

4 

52 

1.15 

1»6 

36 

Cambria  State  Police 

245 

25') 

1 

8 

1 

5 

94 

117 

19 

Carbon  State  Police 

409 

25 

1.12 

10 

Centre 

1 

1 

Centre  State  Police 

6«2 

701 

8 

: 

21 

321 

.105 

.13 

Chattel  Detective 

4.1 

44 

11 

7 

22 

1 

Chester  State  Police 

1,891 

1,931 

8 

26 

22 

151 

782 

742 

160 

Columbia  State  Police 

558 

561 

1 

4 

81 

457 

13 

Cumberland  State  Poll  i 

440 

451 

8 

6 

23 

151 

222 

10 

Dauphin  sink-  Police 

SOI 

815 

1 

5 

11 

67 

215 

40" 

73 

Delaware  Criminal  Investigation 

6 

Division 

Delaware  State  Police 

1.007 

1.028 

1 

6 

25 

24" 

583 

141 

in.   s,  ,i,   Police 

1..175 

1,406 

16 

12 

46 

416 

757 

10s 

l  ackawanna  State  Police 

186 

wo 

1 

3 

4 

10 

117 

40 

11 

i  ancastet  State  Police 

984 

1,003 

3 

S 

9.1 

389 

4M 

68 

i  ebanon  State  Police 

416 

438 

1 

3 

68 

125 

221 

IS 

i  ehlgh  State  Police 

SMI 

854 

: 

5 

8 

31 

311 

4:' 

66 

Table  8.  —  Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,  1986 — Continued 


County  by  State 


Cnme 
Index 
total 


Modified' 

Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


PENNSYLVANIA— Continued 


Luzerne  State  Police 
Lycoming  State  Police 
Mercer  State  Police 
Monroe  State  Police 
Montgomery  Detective 
Montgomery  State  Police 
Northampton  State  Police 

Perry  State  Police 

Philadelphia  State  Police 
Somerset  State  Police 
Washington  State  Police 
Westmoreland  Detective 
Westmoreland  State  Police 
Wyoming  State  Police 


RHODE  ISLAND 


Kent  State  Police 

Providence  State  Police 
Washington  State  Police 


SOUTH  CAROLINA 

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 

Sevier 

Shelby 

Sullivan 

Unicoi 

Washington 
Williamson 


Bell 
Bexar 

Brazona 

Cameron 

Collin 

Comal 


3, 
J.949 

2.S20 


3.058 

5,458 

1,299 

3,437 

361 

467 

2,373 

4,096 

1,835 

4,368 

Table  8.  —  Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,   1986 — Continued 


County  by  Stale 


Modified* 
Crime 

total 


Murder 
negligent 
slaughter 


Forcible 


TEXAS— Contii 


Coryell 
Dallas 
Denton 

Ector 

Ellis 

El  Paso 

Fort  Bend 

Galveston 

Grayson 

Gregg 

Guadalupe 

Hardin 

Harris 

Harrison 

Hays 

Hidalgo 

Jefferson 

Johnson 

Kaufman 

Lubbock 
McLennan 
Midland 
Montgomery 

Orange 

Parker 

Potter 

Randall 

Rockwall 

San  Patncio 

Tarrant 

Taylor 

Tom  Green 

Waller 
Webb 
Wichita 

Williamson 


1.923 
2,596 
1,034 
1,183 


256 

567 

2.646 


330 
961 
1,165 


Davis 

Salt  Lake 

Utah  

Weber 

VIRGINIA 


Albemarle  Police  Departme 
Albemarle  State  Police 

Amherst 

Amherst  State  Police 

Botetourt 

Botetourt  State  Police 

Campbell 

Campbell  State  Police 

Charles  City 

Charles  City  State  Police 

Chesterfield  Police  Departn 

Chesterfield  State  Police 

Dinwiddie 

Dinwiddie  State  Police 

Fairfax  Police  Department 

Fairfax  State  Police 

Fluvanna 

Fluvanna  State  Police 


Table  8.  —  Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,   1986 — Continued 


Crime 
total 


VIRGINIA— Continued 

Gloucester 

Gloucester  State  Police 

Goochland 

Goochland  State  Police 

Greene 

Greene  State  Police 

Hanover 

Hanover  State  Police    

Henrico  Police  Department 

Henrico  State  Police     

lames  City  Police  Department 

lames  City  State  Police 

Loudoun 

Loudoun  State  Police 

New  Kent 

New  Kent  State  Police 

Pittsylvania 

Pittsylvania  State  Police 

Powhatan 

Powhatan  State  Police 

Prince  George  

Prince  George  State  Police 
Prince  William  Police  Department 
Prince  William  State  Police 

Roanoke  

Roanoke  State  Police    

icott  State  Police        

Stafford 

Stafford  State  Police 

Washington 

Washington  State  Police 

fork 

rork  State  Police     

WASHINGTON 

3enton  

:iark 

ting 
Citsap 

Snohomish  

Spokane 

rhurston  

Whatcom 
fakima 

WEST  VIRGINIA 

Jrooke  State  Police 

:abell 

:abell  State  Police 

fancock 

Canawha 

Canawha  State  Police 

Marshall 

Marshall  State  Police 

Mineral 

Mineral  State  Police    

)hio 

)hio  State  Police 


;s,xn.i 
3.671 
15,779 


Murder 
and  non- 
negligent 

slaughter 


3,697 
15,874 
6.516 
6.653 
3,156 


Aggra- 
assault 


332 

413 

2,376 

3,687 

240 

213 

9,071 

16,889 

1,238 

2,071 

5.777 

8,021 

2,771 

2,919 

2,197 

3,937 

1,120 

1,663 

131 


Table  8.  —  Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,  1986— Continued 


County  by  Stale 

Crime 
Index 
total 

Modified* 

Index 

total 

Murder 
and  non- 
negligent 

slaughter 

Forcible 
rape 

Robbery 

Aggra- 
assault 

Burglary 

Larceny- 
theft 

theft 

— 

WEST  VIRGINIA— Continued 

Wayne  State  Police 

189 

193 

2 

1 

5 

4 

85 

68 

24 

Wood                             

343 

348 

1 

1 

1 

91 

231 

18 

Wood  State  Police        

116 

1 

8 

36 

62 

9 

WISCONSIN 

Brown 

1.234 

1,240 

3 

3 

57 

187 

913 

71 

Calumet 

170 

170 

2 

40 

116 

12 

Chippewa 

217 

217 

66 

149 

2 

Dane 

1,375 

1,384 

7 

7 

158 

380 

714 

109 

Eau  Claire 

441 

442 

1 

170 

247 

23 

385 

389 

3 

1 

16 

115 

238 

12 

Kenosha 

1,281 

1,288 

2 

15 

15 

27 

325 

813 

84 

Marathon 

800 

802 

2 

6 

67 

171 

494 

60 

Milwaukee 

560 

566 

5 

5 

62 

9 

446 

33 

Outagamie 

868 

869 

2 

2 

183 

638 

43 

Ozaukee 

195 

200 

2 

60 

126 

7 

Racine 

757 

767 

1 

7 

10 

16 

228 

445 

50 

Rock 

611 

617 

1 

5 

3 

41 

179 

354 

28 

Saint  Croix 

342 

345 

1 

96 

223 

22 

Sheboygan 

476 

482 

8 

3 

3 

123 

313 

26 

Washington 

748 

753 

2 

4 

23 

212 

459 

48 

Winnebago 

WYOMING 

469 

469 

3 

100 

346 

16 

Laramie                      

562 

567 

2 

7 

1 

65 

116 

349 

22 

Natrona 

825 

830 

3 

1 

9 

35 

300 

417 

60 

132 


Table  9.  —  Number  of  Offenses  Known  to  the  Police,  Rural  Counties  25,000  and  over  in  Population,   1986 

[The  data  shown  in  this  table  do  not  reflect  county  totals  but  are  the  number  of  offenses  reported  by  the  sheriffs  office,  county  police  department,  or  sta 
•  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  Crin 
offenses,  including  arson- 


County  by  State 


Crime 
total 


Murder 
negligent 
slaughter 


ALABAMA 

Cullman 
Dallas 
De  Kalb 
Jackson 

Lawrence 
Lee 

Marshall 

Morgan 

Talladega 


Cochise 

Coconino 

Mohave 

Navajo 

Pinal 

Yavapai 


Craighead 

Garland 

Independen 

Mississippi 

White 


ARIZONA 


ARKANSAS 


CALIFORNIA 


Humboldt 

Humboldt  Highway  Patrol 

Imperial 

Imperial  Highway  Patrol 

Imperial  State  Police 

Kings 

Kings  Highway  Patrol 

Lake 

Lake  Highway  Patrol 

Madera 

Madera  Highway  Patrol 

Mendocino 

Mendocino  Highway  Patrol 

Nevada 

Nevada  Highway  Patrol 

San  Luis  Obispo 

5an  Luis  Obispo  Highway  Patrol 

lehama  

rehama  Highway  Patrol 

ruolumne 

fuolumne  Highway  Patrol 


1.310 
2.017 


COLORADO 


Mesa  

DELAWARE 

Kent  State  Police 

Sussex  State  Police 

FLORIDA 

Charlotte 

Columbia 


Table  9.  —  Number  of  Offenses  Known  to  the  Police,  Rural  Counties  25,000  and  over  in  Population,   1986 — Continued 


County  by  State 

Crime 
Index 
total 

Modified* 
total 

Murder 

negligent 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

theft 

Motor 
theft 

Arson- 

FLORIDA— Continued 

Highlands 

1,413 

1,414 

3 

7 

24 

170 

543 

569 

97 

Indian  River                                     

1,977 

1,989 

8 

37 

77 

189 

778 

746 

142 

1 

Jackson 

794 

798 

1 

4 

4 

95 

271 

378 

41 

Lake 

2,172 

2,205 

3 

19 

78 

258 

1,099 

576 

139 

3 

Monroe 

4,193 

4,212 

6 

32 

83 

556 

1,149 

2.140 

227 

1 

Putnam                

2,261 

2,264 

4 

71 

41 

364 

930 

772 

79 

GEORGIA 

Bartow 

635 

4 

, 

12 

13 

235 

269 

101 

Carroll 

946 

4 

18 

9 

67 

301 

470 

77 

Glynn 

Glynn  Police  Department 

4 

4 

3 

5 

10 

24 

102 

513 

1,250 

94 

Gordon 

477 

6 

11 

21 

183 

203 

53 

Hall                         

2,043 

1 

18 

13 

143 

522 

1,142 

204 

Liberty 

422 

7 

12 

40 

140 

190 

33 

Whitfield 

1.459 

2 

6 

12 

91 

451 

701 

196 

HAWAII 

Hawaii 

2,951 

2,965 

i 

22 

20 

59 

865 

1,856 

128 

1 

Kauai 

2,418 

2,428 

1 

19 

10 

71 

591 

1,610 

116 

1 

Mau, 

6,018 

6,076 

2 

29 

30 

182 

1,544 

3,945 

286 

5 

IDAHO 

Bonneville 

820 

825 

, 

3 

2 

56 

205 

523 

30 

844 

858 

3 

11 

7 

38 

305 

438 

42 

1 

Kootenai 

1,052 

1.062 

2 

8 

4 

79 

362 

543 

54 

1 

ILLINOIS' 

Adams 

2 

29 

138 

174 

6 

La  Salle 

482 

487 

1 

7 

212 

220 

42 

Ogle 

2 

3 

43 

99 

7 

Vermilion 

1 

9 

49 

293 

373 

42 

1 

INDIANA 

La  Grange 

La  Grange  State  Police 

230 

1 

10 

75 

126 

18 

86 

1 

2 

3 

13 

16 

37 

14 

La  Porte 

660 

660 

1 

4 

23 

227 

380 

25 

La  Porte  State  Police 

96 

4 

3 

18 

4 

44 

23 

Wayne 

335 

2 

78 

237 

18 

Wayne  State  Police 

60 

1 

12 

5 

30 

12 

KANSAS 

Riley  Police  Department 

206 

206 

1 

3 

3 

20 

56 

114 

9 

KENTUCKY 

Floyd 

1 

1 

1 

Floyd  State  Police 

562 

616 

4 

4 

5 

93 

193 

201 

62 

5 

Hardin 

92 

96 

1 

14 

23 

54 

Hardin  State  Police 

193 

198 

1 

4 

2 

27 

96 

38 

25 

Harlan 

8 

8 

1 

6 

1 

Harlan  State  Police 

658 

683 

4 

6 

9 

184 

181 

226 

48 

: 

Knox 

42 

42 

28 

8 

6 

Knox  State  Police 

384 

402 

1 

9 

7 

40 

146 

121 

60 

i 

Laurel 

246 

247 

2 

2 

2 

72 

73 

73 

22 

Laurel  State  Police 

468 

494 

1 

5 

3 

52 

183 

131 

93 

: 

McCracken 

519 

520 

2 

2 

2 

82 

103 

309 

19 

McCracken  State  Police 

59 

74 

1 

15 

16 

18 

9 

i 

Perry 

3 

5 

3 

Perry  State  Police 

456 

474 

3 

5 

8 

103 

114 

153 

70 

i 

Pike 

111 

111 

2 

1 

31 

35 

33 

9 

Pike  State  Police 

848 

892 

7 

10 

143 

253 

325 

104 

4- 

able  9.  —  Number  of  Offenses  Known  to  the  Police,  Rural  Counties  25,000  and  over  in  Population,  1986— Continued 


llegan  State  Police 

irry 

irry  State  Police 

iss 

iss  State  Police 
rand  Traverse 
rand  Traverse  State  Poll 

illsdale 

Usdale  State  Police 

ibella 

Sbella  State  Police 

e  State  Police 

ontcalm 

ontcalm  State  Police 

swaygo  

waygo  State  Police 

nt  Joseph 

nt  Joseph  State  Police 

ailac 

lilac  State  Police 

awassee  State  Police 

scola 

scola  State  Police 

n  Buren 

ren  State  Police 


Crime 
total 


Modified* 

Index 

total 


Murder 
and  non- 
negligent 

slaughter 


Forcible 
rape 


Aggra- 
assault 


KENTUCKY— Continued 

ulaski 

jl.i^ki  Slate  Police 

'arren 

rarren  State  Police 

LOUISIANA 

cadia         

aquemines 

lint  Mary 
mgipahoa 

srnon 

MAINE 

roostook 

roostook  State  Police 

ennebec 

ennebec  State  Police     

xford        

xford  State  Police 

jnobscot 

inobscot  State  Police 

ork 

ork  State  Police 

MARYLAND 

arrett 

arrett  State  Police   

lint  Mary's 

int  Mary's  State  Police 

icomico    

icomico  State  Police 

MICHIGAN 


1,002 
1,014 
1,398 


135 


Table  9.  —  Number  of  Offenses  Known  to  the  Police,  Rural  Counties  25,000  and  over  in  Population,   1986 — Continued 


County  by  State 

Crime 

total 

Modified* 

Index 
total 

and  non- 
negligent 

man- 
slaughter 

Forcible 

Robbery 

Aggra- 
assault 

Burglary 

Larceny- 
theft 

Motor 
theft 

Arson 

MINNESOTA 

Crow  Wing 

743 

743 

6 

36 

318 

350 

33 

Itasca 

810 

813 

1 

4 

17 

341 

405 

42 

Otter  Tail 

618 

623 

1 

2 

7 

214 

369 

25 

MISSISSIPPI 

Jones 

442 

! 

6 

4 

22 

206 

203 

Lauderdale      

355 

4 

9 

5 

29 

188 

103 

17 

Lee 

476 

476 

2 

4 

13 

210 

195 

46 

Warren 

542 

4 

8 

3 

15 

229 

247 

36 

MISSOURI 

Cole 

489 

490 

11 

6 

83 

142 

228 

19 

Johnson 

241 

1 

2 

11 

123 

97 

7 

Pulaski 

148 

1 

3 

4 

13 

70 

51 

6 

Saint  Francois 

295 

4 

50 

125 

108 

8 

Stoddard 

299 

2 

4 

22 

67 

180 

24 

NEW  HAMPSHIRE 

Rockingham  State  Police 

83 

86 

6 

4 

17 

29 

21 

« 

NEW  MEXICO 

San  Juan      

666 

672 

2 

16 

6 

51 

171 

381 

39 

NEW  YORK 

Allegany 

2 

2 

Allegany  State  Police 

501 

507 

2 

3 

23 

238 

229 

6 

Cattaraugus 

279 

305 

1 

27 

99 

139 

13 

Cattaraugus  State  Police 

472 

476 

2 

2 

4 

13 

200 

223 

28 

Cayuga 

422 

433 

2 

44 

147 

208 

21 

Cayuga  State  Police                       ......... 

403 

407 

3 

2 

34 

105 

245 

14 

Chautauqua 

790 

809 

9 

5 

9 

226 

519 

22 

Chautauqua  State  Police 

378 

380 

1 

1 

19 

135 

216 

6 

Chenango  

261 

272 

2 

26 

86 

141 

6 

254 

256 

2 

10 

112 

120 

9 

Clinton 

25 
985 

25 
989 

" 

2 

1 

3 

245 

17 
531 

17 

Clinton  State  Police 

Delaware      

98 

487 

101 
491 

3 

7 

2 

14 

40 
283 

55 
176 

J 

Delaware  State  Police 

Franklin  State  Police 

396 

410 

2 

4 

31 

139 

218 

2 

Fulton 

437 

437 

1 

3 

1 

3 

138 

264 

27 

Fulton  State  Police 

149 

151 

1 

12 

49 

82 

5 

Genesee 

528 

540 

2 

1 

180 

340 

5 

Genesee  State  Police 

145 

146 

1 

2 

7 

54 

75 

6 

Jefferson 

380 

413 

2 

4 

149 

222 

3 

Jefferson  State  Police 

517 

518 

1 

2 

3 

10 

216 

272 

13 

Otsego  State  Police 

590 

592 

1 

14 

151 

416 

8 

Saint  Lawrence 

728 

735 

9 

3 

71 

186 

446 

13 

Saint  Lawrence  State  Police 

608 

616 

1 

2 

44 

221 

328 

12 

Sullivan 

531 

1 

6 

9 

65 

188 

228 

34 

Sullivan  State  Police 

940 

3 

5 

4 

59 

392 

425 

52 

Tompkins 

791 

794 

1 

6 

12 

265 

493 

14 

Tompkins  State  Police 

423 

424 

1 

6 

18 

137 

255 

6 

Wyoming 

413 

414 

14 

191 

19 

Wyoming  State  Police    

202 

206 

1 

2 

104 

53 

40 

NORTH  CAROLINA 

Beaufort 

560 

570 

1 

7 

2 

20 

239 

271 

20 

Brunswick 

254 

254 

1 

3 

20 

84 

129 

13 

Caldwell 

1.214 

1.226 

7 

8 

83 

527 

523 

54 

Carteret  

519 

519 

2 

2 

1 

11 

63 

413 

27 

Chatham                        

608 

611 

4 

4 

2 

54 

270 

248 

26 

Cleveland        

1.269 

1.272 

5 

4 

7 

48 

500 

632 

73 

Me  9.  —  Number  of  Offenses  Known  to  the  Police,  Rural  Counties  25,000  and  over  in  Population,  1986 — Continued 


NORTH  CAROLINA— Continued 

ilumbus 

aven 

iphn 


mderson 
dell 
:kson 
hnston 


ish 

chmond 

Kkingham 

itherford 

mpson 

inly 

rry 

jyne 

likes 


NORTH  DAKOTA 


htabulj 

>lunihi.in.i 

ishocton 


uskingum 
eble 


OREGON 

schutes 

jSchutes  State  Police 

iuglas 

■uglas  Slate  Police 

rephine 

lephine  State  Police 

imath 

limath  State  Police 

Ira  State  Police 

PENNSYLVANIA 

Mistrong  State  Police 
llford  State  Police 
Sidford  State  Police 
iler  State  Police 


Murder 
d  non- 
legligent 

laughter 


Forcible 


Aggra- 
vated 

,t^s;iull 


Motor 
theft 


137 


Table  9.  —  Number  of  Offenses  Known  to  the  Police,  Rural  Counties  25,000  and  over  in  Population,  1986 — Continued 


County  by  State 

Crime 
Index 

total 

Modified* 

Index 

total 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
assault 

Burglary 

theft 

theft 

*. 

PENNSYLVANIA— Continued 

Clarion  State  Police 

594 

607 

2 

6 

2 

9 

257 

284 

34 

Clearfield 

3 

577 

3 
594 

1 

19 

2 

247 

30 

Clearfield  State  Police 

4 

276 

Crawford  State  Police 

862 

880 

4 

13 

19 

369 

397 

56 

Greene  State  Police 

390 

402 

1 

3 

6 

151 

179 

50 

Huntingdon  State  Police 

495 

500 

1 

6 

3 

10 

211 

241 

23 

Indiana  State  Police 

746 

758 

1 

16 

11 

41 

293 

327 

57 

Jefferson  State  Police 

267 

273 

2 

3 

7 

111 

120 

24 

Lawrence  State  Police 

736 

766 

2 

4 

3 

24 

336 

316 

51 

Northumberland  State  Police  

299 

306 

2 

7 

1 

6 

105 

167 

11 

Schuylkill  State  Police 

822 

838 

2 

7 

5 

67 

346 

350 

45 

Snyder  State  Police 

275 

275 

5 

1 

106 

148 

15 

Susquehanna  State  Police 

382 

390 

1 

3 

2 

15 

204 

119 

38 

Tioga  State  Police 

343 

349 

3 

3 

10 

192 

112 

23 

Venango  State  Police    

589 

598 

4 

5 

5 

271 

259 

45 

58 

58 

1 

24 

31 

2 

Warren  State  Police 

415 

426 

2 

4 

7 

210 

170 

22 

Wayne  State  Police 

566 

574 

1 

3 

10 

22 

317 

177 

36 

SOUTH  CAROLINA 

Beaufort 

3,871 

3,890 

4 

30 

25 

386 

1,008 

2,251 

167 

Cherokee 

649 

673 

9 

6 

66 

262 

240 

66 

Chesterfield            

515 

530 

7 

5 

62 

196 

201 

37 

Colleton 

810 

833 

3 

14 

94 

277 

361 

54 

Darlington 

1,619 

1,649 

3 

16 

17 

246 

583 

642 

112 

Georgetown 

815 

829 

2 

6 

66 

297 

394 

43 

Greenwood 

1.210 

1,216 

4 

8 

126 

279 

705 

79 

Horry  Police  Department 

4,212 

4,224 

8 

23 

45 

303 

1,255 

2,286 

292 

Kershaw 

917 

919 

1 

10 

80 

321 

449 

54 

Lancaster 

1,321 

1,332 

3 

19 

12 

200 

357 

662 

68 

Laurens 

824 

829 

1 

3 

10 

77 

386 

314 

33 

Oconee 

813 

816 

3 

6 

5 

77 

248 

443 

31 

Orangeburg 

3,083 

3,113 

8 

36 

64 

580 

1,129 

1,118 

148 

Sumter 

2,177 

2,108 

6 

28 

24 

343 

686 

977 

113 

Williamsburg 

459 

466 

1 

9 

13 

78 

180 

158 

20 

TENNESSEE 

Bradley 

552 

553 

! 

2 

9 

22 

157 

282 

79 

Greene 

513 

525 

4 

3 

6 

52 

247 

155 

46 

Hamblen 

478 

479 

3 

5 

8 

15 

116 

272 

59 

McMinn 

371 

1 

1 

1 

26 

158 

176 

8 

585 

3 

16 

1 

55 

215 

248 

47 

TEXAS 

Anderson 

532 

535 

2 

2 

5 

66 

202 

228 

27 

Angelina 

581 

585 

1 

13 

204 

311 

48 

307 

308 

1 

26 

139 

127 

14 

Henderson 

866 

873 

6 

2 

5 

59 

471 

278 

45 

Hunt 

764 

764 

1 

8 

3 

75 

370 

242 

65 

Rusk 

589 

589 

2 

344 

188 

55 

Starr 

478 

489 

3 

3 

6 

23 

192 

213 

38 

Van  Zandt 

792 

1 

1 

6 

30 

337 

351 

66 

UTAH 

Cache 

499 

500 

3 

7 

105 

364 

20 

VIRGINIA 

Accomack 

515 

524 

2 

5 

19 

267 

209 

13 

Accomack  State  Police 

52 

56 

1 

1 

1 

4 

16 

21 

8 

Augusta 

847 

847 

2 

28 

196 

559 

54 

Augusta  State  Police 

31 

34 

1 

6 

21 

3 

Bedford 

435 

454 

1 

8 

1 

20 

146 

246 

13 

Bedford  State  Police 

8 

8 

3 

1 

4 

Buchanan 

216 

217 

2 

29 

54 

105 

26 

fable  9.  —  Number  of  Offenses  Known  to  the  Police,  Rural  Counties  25,000  and  over  in  Population,   1986 — Continued 


County  by  State 

Crime 
Index 

total 

Modified* 
total 

Murder 
negligent 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
theft 

vehicle 
theft 

Arson* 

VIRGINIA— Continued 

luchanan  State  Police 

73 

74 

3 

8 

25 

22 

15 

1 

Carroll 

197 

201 

1 

5 

1 

7 

91 

83 

9 

4 

^rroll  State  Police 

14 

15 

2 

I 

8 

3 

1 

"auquier  State  Police 

353 

353 

1 

4 

8 

19 

120 

176 

25 

48 

50 

1 

6 

13 

24 

2 

'ranklin 

490 

494 

3 

3 

12 

176 

255 

41 

4 

"ranklm  State  Police     

5 

6 

1 

3 

1 

1 

~redenck 

788 

791 

1 

7 

9 

34 

179 

515 

43 

3 

"rederick  State  Police 

28 

31 

12 

5 

9 

2 

3 

lalifax 

261 

265 

3 

1 

20 

81 

146 

10 

4 

lalifax  State  Police 

48 

48 

1 

8 

10 

25 

4 

lenry 

1.194 

1,205 

7 

10 

8 

47 

404 

641 

77 

11 

lenry  State  Police 

24 

24 

3 

2 

11 

8 

tockingham 

320 

322 

3 

5 

2 

13 

90 

200 

7 

2 

lockingham  State  Police  

28 

32 

1 

12 

1 

6 

8 

4 

lussell             

14 

16 

1 

1 
5 

69 
1 

58 
5 

20 
3 

tussell  State  Police 

2 

potsylvania  

1,367 

1,368 

5 

17 

27 

226 

1.018 

74 

1 

potsylvania  State  Police  - 

35 

35 

5 

24 

6 

'azewell 

307 

307 

4 

5 

64 

69 

153 

12 

razewell  State  Police 

38 

40 

19 

7 

2 

Vise 

310 

320 

1 

8 

5 

21 

104 

152 

19 

10 

Vise  Stale  Police 

25 

25 

1 

4 

4 

8 

8 

WASHINGTON 

:helan 

1,333 

1,340 

, 

13 

11 

44 

360 

833 

71 

7 

riallam 

777 
930 

777 
938 

' 

17 
16 

3 
7 

24 
22 

211 
453 

477 
404 

44 
28 

Cowlitz 

8 

jrays  Harbor            

990 

990 

2 

7 

3 

31 

362 

547 

38 

sland 

445 

446 

1 

1 

10 

161 

260 

12 

1 

.ewis 

1,073 

1.077 

2 

11 

3 

53 

460 

489 

55 

4 

kagit 

1,292 

1,292 

1 

13 

15 

58 

470 

692 

43 

WEST  VIRGINIA 

ierkeley 

891 

900 

3 

5 

7 

20 

275 

563 

18 

9 

Ierkeley  State  Police 

425 

427 

3 

9 

6 

255 

115 

37 

2 

oone                               

203 

1 

1 

4 

6 

60 

87 

44 

ioone  State  Police 

73 

75 

4 

2 

1 

2 

22 

13 

29 

2 

"ayette 

370 

2 

10 

1 

136 

120 

84 

17 

"ayette  State  Police 

134 

135 

2 

3 

3 

5 

48 

56 

17 

Earnson 

260 

262 

1 

10 

3 

15 

74 

129 

28 

larnson  State  Police    

152 

155 

3 

2 

1 

10 

79 

35 

22 

.ogan 

170 

174 

2 

2 

1 

76 

63 

26 

,ogan  State  Police 

547 

562 

4 

4 

11 

171 

204 

153 

15 

McDowell 

102 

104 

4 

39 

21 

38 

McDowell  State  Police 

153 

155 

2 

6 

6 

17 

84 

19 

19 

Marion 

211 

1 

1 

5 

71 

108 

25 

Marion  State  Police 

158 

1 

1 

5 

45 

76 

30 

Mercer 

436 

I 

1 

114 

169 

102 

49 

Mercer  State  Police 

184 

3 

4 

4 

97 

44 

32 

Mingo 

70 

3 

15 

35 

17 

Mingo  State  Police 

168 

182 

1 

3 

23 

49 

35 

57 

14 

Monongalia 

253 

257 

5 

I 

71 

172 

Monongalia  State  Police 

398 

402 

2 

8 

5 

5 

138 

72 

4 

laleigh 

895 

7 

6 

54 

249 

514 

61 

laleigh  State  Police 

248 

248 

76 

122 

49 

Vyoming 

225 

2 

15 

82 

93 

33 

Wyoming  State  Police 

107 

110 

1 

1 

6 

46 

29 

24 

3 

WISCONSIN 

:iark 

531 

532 

t 

8 

142 

352 

28 

lodge 

378 

379 

1 

1 

1 

16 

95 

242 

22 

bnd  du  Lac 

373 

375 

2 

12 

105 

235 

19 

fanitowoc 

428 

431 

31 

136 

231 

29 

lannette 

678 

682 

1 

9 

341 

298 

29 

oik 

671 

675 

1 

3 

18 

281 

328 

40 

Table  9.  —  Number  of  Offenses  Known  to  the  Police,  Rural  Counties  25,000  and  over  in  Population,   1986 — Continued 


County  by  Stale 

Index 

total 

Modified* 
total 

Murder 
and  non- 
negligent 

slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 

Burglary 

theft 

Motor 
theft 

*- 

WISCONSIN— Continued 

Sauk 

593 
258 
457 
310 
587 
653 
488 

6,369 

21 

241 

9,218 

104 

52 

2,158 

5,227 

33 

3,424 

596 
258 
457 
310 
587 
661 
489 

21 

9,313 

104 

63 

2,191 

33 
3.461 

2 

6 

27 
2 
8 

2 
21 
3 

621 
21 

826 
8 

11 
465 
209 

33 

101 

201 
36 
140 
83 
171 
228 
177 

1,928 

3,432 

2 

9 

750 

1,844 

839 

334 
205 
278 
209 
376 
359 
286 

3.071 

4,073 
75 
28 
702 

2,810 

2,038 

30 
7 
30 
18 
36 
43 
19 

578 

241 
692 
18 
3 
172 
279 

271 

2 
3 

42 

107 
1 

24 
22 

60 

Walworth 
Waupaca 

19 
9 

18 

7 

STATE  AGENCIES 

Alaska  State  Police 

Arizona  Department  of  Public  Safety 
Colorado  State  Patrol 
Connecticut  State  Police 

110 

79 

1 

27 
56 

106 

Nebraska  State  Patrol 

OTHER  AREAS 

i  10. —  Crime  Trends,  Offenses  Known  to  the  Police,  Population  Group,  1985-1986 

estimated  population] 


Population  group 

z:: 

Modified 

33 

Property 

negligent 

■Tcf 

Robbery 

Aggra- 

Burglary 

■s> 

J££ 

W 

)TAL  ALL  AGENCIES: 

315  agencies; 

imputation  229,048.000: 

1985 

11,998,382 

12,100,212 

1,287,512 

10,710,870 

18,352 

81,505 

491,574 

696,081 

2,960,091 

6.680,810 

1,069,969 

101,830 

1986 

12,766,492 

12,874,236 

1,442,363 

11,324,129 

19,966 

84,279 

535,929 

802,189 

3,124,672 
+5.6 

7,008,229 

1,191,228 

107,744 

Percent  change 

+6.4 

+6.4 

+12.0 

+5.7 

+8.8 

+3.4 

+9.0 

+  15.2 

+4.9 

+11.3 

+5.8 

TAL  CITIES:  9,049  cities; 

population  153,827,000: 

1985 

9,772,502 

9,851,601 

1,077,676 

8,694,826 

14,077 

63,104 

448,501 

551,994 

2,282,344 

5,505,443 

5,779,534 

907,039 

79,099 

1986 

10,410.121 

10,493,926 

1,211,460 

9,198,661 

15,714 

64,903 

487,618 

643,225 

2,406,585 

1,012,542 

83,805 

Percent  change 

+6.5 

+6.5 

+  12.4 

+5.8 

+11.6 

+2.9 

+8.7 

+  16.5 

+5.4 

+5.0 

+  11.6 

+5.9 

Group  I 

cities.  250,000  and  over; 

Mpulation  44,077.000: 

1985       

3,911,416 

3,947,822 

601.557 

3,309,859 

8,363 

31,897 

304.265 

257.032 

929,473 

1,885,935 

494.451 

36,406 

1986 

4,195,880 

4.235,955 

672.481 

3,523,399 

9,449 

31,928 

328,307 

302.797 

982,882 

1,986,845 

553,672 

40,075 

Percent  change 

+7.3 

+  7.3 

+  11.8 

+6.5 

+  13.0 

+0.1 

+7.9 

+  17.8 

+5.7 

+  5.4 

+  12.0 

+  10.1 

ities,  1.000,000  and  over; 

wpulation  19,993,000: 

1985 

1,758,259 

1.776.421 

323.826 

1.434.433 

4.589 

11,992 

179,214 

128,031 

388,881 

767.229 

278,323 

18,162 

1986                      

1.866,678 

1,887,303 

367.677 

1,499,001 

5,008 

11,473 

191.943 

159,253 

402,772 

796,900 

299,329 

20,625 

Percent  change  

+6.2 

+6.2 

+  13.5 

+4.5 

+9.1 

-4.3 

+7,1 

+24.4 

+3.6 

+  3.9 

+7.5 

+  13.6 

cities,  500.000  to  999.999; 

xipulatton  10.683.000: 

1985 

894,078 

901,670 

114.795 

779,283 

1,660 

8,554 

55,994 

48,587 

216,488 

462,379 

100,416 

7,592 

1986 

959,955 

967,983 

122,206 

837,749 

1,926 

8,666 

59,450 

52.164 

231,065 

491,397 

115,287 

8,028 

Percent  change  

+7.4 

+7,4 

+6.5 

+7.5 

+  16.0 

+  1.3 

+6.2 

+7.4 

+6.7 

+6.3 

+  14.8 

+5.7 

cities,  250,000  to  499,999; 

jopulation  13,401,000: 

1985 

1,259,079 

1,269,731 

162,936 

1,096.143 

2,114 

11.351 

69,057 

80,414 

324.104 

656,327 

115,712 

10,652 

1986 

1,369,247 

1,380,669 

182,598 

1,186,649 

2,515 

11,789 

76,914 

91,380 

349,045 

698,548 

139,056 

11,422 

Percent  change 

+8.7 

+8.7 

+  12.1 

+8.3 

+  19.0 

+3.9 

+  11.4 

+  13.6 

+7.7 

+6.4 

+20.2 

+7.2 

Group  II 

cities,  100,000  to  249,999; 

jopulation  18,257.000: 

1985 

1,396,609 

1,408,655 

141,758 

1.254,851 

1,837 

9.290 

53.087 

77,544 

344,219 

805,071 

105,561 

12,046 

1986    

1,487,811 

1,500,652 

158,813 

1,328,998 

2,068 

9,602 

58.227 

88,916 

368,545 

842,904 

117,549 

12.841 

Percent  change 

+6.5 

+6.5 

+  12.0 

+5.9 

+  12.6 

+3.4 

+9.7 

+  14.7 

+7.1 

+4.7 

+  11.4 

+6.6 

Group  III 

cities,  50,000  to  99,999; 

wpulation  20,701,000: 

1985              

1,230,323 

1,239,881 

109,381 

1,120,942 

1,217 

7,392 

38.108 

62,664 

297,904 

716,577 

106,461 

9.558 

1986 

1,307,254 

1,316,834 

127,544 

1,179,710 

1.302 

8,030 

42,319 

75,893 

309,648 

749,197 

120,865 

9,580 

Percent  change 

+6.3 

+6.2 

+  16.6 

+  5.2 

+7.0 

+  8.6 

+  11.1 

+21.1 

+3.9 

+4.6 

+  13.5 

+0.2 

Group  IV 

cities,  25,000  to  49,999; 

jopulation  22,630,000: 

1985            

1,216,021 

1.224,163 

92.033 

1,123,988 

1,005 

6.169 

27.164 

57,695 

277,135 

762,249 

84,604 

8.142 

1986 

1,292,913 

1,301,077 

105,636 

1,187,277 

1.138 

6.652 

29.894 

67,952 

292,222 

800,615 

94,440 

8,164 

Percent  change 

+6.3 

+6.3 

+  14.8 

+  5.6 

+  13.2 

+7.8 

+  10.1 

+  17.8 

+5.4 

+5.0 

+  11.6 

+0.3 

141 


Table  10.  —  Crime  Trends,  Offenses  Known  to  the  Police,  Population  Group,  1985-1986  —  Continued 


Population  group 

Er 

Modified 
total1 

Violent 

Property 

Murder 
negligent 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 

Burglary 

■ST 

vehicle 
theft 

Arso 

Group  V 

1,614  cities,  10,000  to  24,999; 

population  25,382,000: 

1985 

1,119,615 

1,126,639 

74,980 

1,044,635 

902 

4,817 

17.185 

52.076 

246,506 

728,686 

69,443 

7 

1986 

1,180,902 

1,187,976 

83,471 

1,097,431 

969 

5,152 

19.111 

58,239 

256,712 

764,596 

76,123 

7 

Percent  change 

+  5.5 

+  5.4 

+  11.3 

+  5.1 

+  7.4 

+7.0 

+  11.2 

+  11.8 

+4.1 

+4.9 

+9.6 

Group  VI 

6,292  cities  under  10,000; 

population  22,780,000: 

1985 

898,518 

904.441 

57,967 

840,551 

753 

3,539 

8.692 

44,983 

187,107 

606,925 

46,519 

5 

1986  

945.361 

951,432 

63,515 

881,846 

788 

3,539 

9.760 

49,428 

196,576 

635,377 

49,893 

6 

Percent  change 

+  5.2 

+5.2 

+9.6 

+4.9 

+4.6 

+  12.3 

+9.9 

+  5.1 

+4.7 

+7.3 

Suburban  Counties 

1,312  agencies;  population 

45,744.000: 

1985 

1.680.493 

1,697,670 

159,629 

1,520,864 

2,661 

13,067 

38,796 

105.105 

488,080 

900,953 

131,831 

17 

1986 

1,789,289 

1,807,232 

177,763 

1,611,526 

2.708 

13,895 

43.804 

117.356 

518,887 

947,020 

145,619 

17 

Percent  change         

+6.5 

+6.5 

+  11.4 

+6.0 

+  1.8 

+6.3 

+  12.9 

+  11.7 

+6.3 

+  5.1 

+  10.5 

Rural  Counties4 

2,954  agencies;  population 

29,477,000: 

1985 

545,387 

550,941 

50,207 

495,180 

1,614 

5,334 

4.277 

38,982 

189,667 

274,414 

31.099 

5 

1986 

567,082 

573.078 

53,140 

513,942 

1,544 

5,481 

4.507 

41,608 

199,200 

281,675 

33,067 

5 

Percent  change          

+4.0 

+4.0 

+5.8 

+3.8 

-4.3 

+2.8 

+5.4 

+6.7 

+  5.0 

+2.6 

+6.3 

Suburban  Area5 

6,247  agencies;  population 

92,897,000: 

1985 

3,789,366 

3,821,064 

304,653 

3,484,713 

4,173 

22,260 

78.589 

199,631 

951,922 

2,249,691 

283,100 

31 

1986 

4,018,006 

4,050,222 

340,252 

3,677,754 

4,362 

23,595 

87,440 

224,855 

1,003,825 

2,361,030 

312,899 

32 

Percent  change 

+6.0 

+6.0 

+  11.7 

+5.5 

+4.5 

+6.0 

+  11.3 

+  12.6 

+5.5 

+4.9 

+  10.5 

'The  number  of  agency  reports  used  in  arson  trends  is  less  than  used  in  compiling  trends  for  other  Cnme  Index  offenses  However,  the  number  of  agencies  used  in  the  arsoi 
column  of  this  table  is  greater  than  the  number  used  in  the  tables  on  pages  37-39,  since  it  is  not  necessary  to  report  arsons  by  property  classification  to  be  included  in  this  tabli 
The  Modified  Crime  Index  total  is  the  sum  of  the  Crime  Index  offenses,  including  arson. 

2Violent  crimes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault. 

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

'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  group; 

Forcible  rape  figures  furnished  by  the  state-level  Uniform  Crime  Reporting  (VCR)  Program  administered  by  the  Illinois  Department  of  State  Police  were  not  in  accordance  w 
national  UCR  guidelines  and  were  excluded  from  the  Forcible  rape,   Violent  crime,  Cnme  Index  total,  and   Modified  Cnme  Index  total  categories. 


Table  11.  —  Crime  Trends,  Offenses  Known  to  the  Police,  Suburban  and  Nonsuburban  Cities1,  Population  Group,  1985-1986 

[1986  estimated  population] 


Population  group 

Crime 

Modified 

Violent 

W 

Murder 
negligent 
slaughter 

Forcible 

Robbery 

Aggra- 

Burglary 

theft 

Motor 

AW 

Suburban  Cities 

TOTAL  SUBURBAN  CITIES: 

4.935  cities; 

population  47,153,000: 

1985 

2,108,873 

2,123,394 

145,024 

1,963,849 

1,512 

9,193 

39,793 

94,526 

463,842 

1,348,738 

151,269 

14,521 

1986 

2,228,717 

2,242,990 

162,489 

2,066,228 

1,654 

9,700 

43,636 

107,499 

484,938 

1,414,010 

167,280 

14,273 

Percent  change  

+5.7 

+5.6 

+12.0 

+5.2 

+9.4 

+5.5 

+9.7 

+13.7 

+4.5 

+4.8 

+10.6 

-1.7 

Group  IV 

474  cities,  25,000  to  49.999; 

population  16.348,000: 

1985 

823,242 

829,008 

63,542 

759,700 

606 

4,072 

20,434 

38,430 

188,825 

504,726 

66,149 

5,766 

1986 

874,208 

879,909 

71,988 

802,220 

713 

4,339 

22,176 

44,760 

197,461 

530,807 

73,952 

5,701 

Percent  change    

+6.2 

+6.1 

+  13.3 

+5.6 

+  17.7 

+6.6 

+8.5 

+  16.5 

+4.6 

+5.2 

+  11.8 

-1.1 

Group  V 

1,137  cities.  10,000  to  24,999; 

population  18.102,000: 

1985                          

745,796 

750,906 

49.390 

696,406 

532 

3,136 

13,141 

32,581 

166,119 

476,359 

53,928 

5,110 

1986  

785,415 

790,303 

54,831 

730,584 

565 

3,285 

14,484 

36,497 

172,422 

498,695 

59,467 

4,888 

Percent  change    

+5.3 

+5.2 

+  11.0 

+4.9 

+6.2 

+4.8 

+  10.2 

+  12.0 

+3.8 

+4.7 

+  10.3 

-4.3 

Group  VI 

3,324  cities  under  10,000; 

population  12,703.000: 

1985 

539,835 

543,480 

32,092 

507,743 

374 

1,985 

6,218 

23,515 

108,898 

367,653 

31,192 

3,645 

1986 

569,094 

572,778 

35,670 

533,424 

+5.1 

376 

6,976 

+  12.2 

26,242 
+  11.6 

115,055 

+5.7 

384,508 
+4.6 

33,861 
+8.6 

3,684 
+  1.1 

Percent  change    

+5.4 

+5.4 

+.5 

+4.6 

Nonsuburban  Cities 

TOTAL  NONSUBURBAN 

CITIES:  3,625  cities; 

population  23,639,000: 

1985 

1,125,281 

1,131,849 

79,956 

1,045,325 
1,100,326 

1,148 
1,241 
+8.1 

5,332 

13,248 
15,129 
+  14.2 

60,228 
68,120 
+13.1 

246,906 

260,572 

+5.5 

749,122 

786,578 

+5.0 

49,297 

53,176 

+7.9 

6,568 
7,036 
+7.1 

1986 

1,190.459 

1,197,495 

90,133 

5^643 
+5.8 

Percent  change  

+5.8 

+5.8 

+  12.7 

+5.3 

Group  IV 

180  cities.  25,000  to  49,999; 

population  6,281,000: 

1985                

392,779 

395,155 

28,491 

364,288 

399 

2,097 

6,730 

19,265 

88,310 

257,523 

18,455 

2,376 

1986        

418,705 

421,168 

33,648 

385,057 

425 

2,313 

7,718 

23,192 

94,761 

269.808 

20,488 

2,463 

Percent  change 

+6.6 

+6.6 

+  18.1 

+  5.7 

+6.5 

+  10.3 

+  14.7 

+20.4 

+7.3 

+4.8 

+  11.0 

+  3.7 

Group  V 

*77  cities,  10,000  to  24,999; 

population  7,281.000: 

1985                 

373,819 

375,733 

25,590 

348,229 

370 

1,681 

4,044 

19,495 

80,387 

252,327 

15,515 

1,914 

1986 

395,487 

397,673 

28,640 

366,847 

404 

1,867 

4,627 

21,742 

84,290 

265,901 

16,656 

2,186 

Percent  change  

+5.8 

+5.8 

+  11.9 

+  5.3 

+9.2 

+  11.1 

+  14.4 

+  11.5 

+4.9 

+5.4 

+7.4 

+  14.2 

Group  VI 

2,968  cities  under  10,000; 

population  10,077,000: 

1985     

358,683 

360,961 

25.875 

332,808 

379 

1.554 

2.474 

21,468 

78,209 

239,272 

15,327 

2,278 

1986 

376,267 

378,654 

27,845 

348,422 

412 

1,463 

2,784 

23,186 

81,521 

250,869 

16,032 

2,387 

Percent  change 

+4.9 

+4.9 

+7.6 

+4.7 

+8.7 

-5.9 

+  12.5 

+8.0 

+4.2 

+4.8 

+4.6 

+4.8 

Suburban  places  are  within  Metropolitan  Statistical  Areas  (MSAs)  and  include  suburban  city  and  county  law  enforcement  agencies  within  the  metropolit 
ire  excluded    Nonsuburban  places  are  outside  MSAs. 

:The  number  of  agencies  used  in  arson  trends  is  less  than  used  in  compiling  trends  for  other  Cnme  Index  offenses.  The  Modified  Crime  Index  total  is  I 
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  Reporting  (UCR)  Program  administered  by  the  Illinois  Department  of  State  Police  were 
lational  UCR  guidelines  and  were  excluded  from  the  Forcible  rape,  Violent  crime,  Crime  Index  total,  and  Modified  Cnme  Index  total  categories. 


.  Central  cities 
of  the  Crime 


Table  12. —  Crime  Trends,  Offenses  Known  to  the  Police,  Suburban  and  Nonsuburban  Counties,  Population  Group,  1985-1986 

[1986  estimated  population] 


Population  group 

£f 

Modified 

Crime 

r» 

Property 

Murder 
negligent 
slaughter 

Forcible 

Robbery 

Aggra- 

Burglary 

W 

Se 

ArW 

Suburban  Counties4 

100,000  and  over 

106  counties;  population 
26.328,000: 

1985  

1,164,399 
1,248,721 

+7.2 

1,176.242 

1,260,881 

+7.2 

1 10,825 
125,285 
+  13.0 

1,053,574 
1,123,436 

1.641 
1.691 
+3.0 

8,024 
8,613 

+7,3 

32,143 
36,826 
+  14.6 

69,017 
78,155 
+  13.2 

328,045 

349,993 

+6.7 

630,960 

666,502 

+5.6 

94,569 
106.941 
+  13.1 

11,8 

+2 

25,000  to  99,999 

335  counties;  population 
16,657,000: 

1985 

1986 

Percent  change 

386,010 
408,039 

+  5.7 

389,534 

411,900 

+5.7 

33,963 

37,333 

+9.9 

352,047 

370,706 

+5.3 

764 
750 
-1.8 

3,311 
3,629 

4,242 
4,713 
+  11.1 

25,646 
28.241 
+  10.1 

124.605 

132,585 

+6.4 

203,967 
213.652 

+4.7 

23,475 
24.469 

3,5 
3.8 

+9 

Under  25,000 

871  counties;  population 
2,760.000: 
1985 
1986 
Percent  change 

130,084 

132,529 

+  1.9 

131,894 
134,451 

14.841 
15,145 
+2.0 

115.243 

117.384 

+1.9 

256 

267 
+4.3 

1,732 
1,653 
-4.6 

2,411 
2,265 
-6.1 

10,442 
10,960 
+  5.0 

35,430 

36,309 

+2.5 

66.026 
66.866 

+  1.3 

13,787 
14.209 
+3.1 

1.8 
1.9 
+6 

Nonsuburban  Counties4 

25,000  and  over 

302  counties;  population 
11.768,000: 

1985                

1986     

Percent  change 

216.622 
228,607 

+5.5 

218,585 

230,679 

+5.5 

19,636 

21,560 

+9.8 

196.986 
207,047 

+  5.1 

513 

565 

+  10.1 

1,985 
2,181 
+9.9 

1,896 
2,024 
+6.8 

15,242 
16,790 
+  10.2 

73,463 

78,583 

+7.0 

112.359 

116,163 

+3.4 

11,164 
12,301 
+  10.2 

1.9 
2,0 

+5 

10,000  to  24,999 

774  counties;  population 
12.148,000: 
1985             

172.224 

180,259 

+4.7 

181,823 

+4.7 

14,761 
15,556 
+5.4 

157,463 
164.703 

531 
484 
-8.9 

1.373 
1,310 
-4.6 

1,193 
1,201 
+.7 

11,664 

12,561 
+7.7 

62.463 

65,874 

+5.5 

85,832 

89,123 

+3.8 

9.168 
9,706 
+5.9 

1,3 

Percent  change 

+  1 

Under  10,000 

1,783  counties;  population 
5,164,000: 
1985 

134,412 
134,715 

+.2 

136,475 
136,936 

+.3 

13,334 

13,326 

-.1 

121,078 

121.389 

+  .3 

509 
-13.2 

1,723 

1,712 

-.6 

990 
1.088 
+9.9 

10,112 
10,084 

-.3 

46.314 

46,744 

+.9 

65,853 

65,585 

-.4 

8,911 
9,060 
+  1.7 

2,0 

The  number  of  agencies  used  in  arson  trends  are  less  than  used  in  compiling  trends  for  other  Cnme  Index  offenses.  The  Modified  Crime  Index  total  is  the 
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  cnme  of  arson. 

4Crime  offenses  include  sheriffs'  and  county  law  enforcement  agencies.  State  police  offenses  are  not  included. 

Forcible  rape  figures  furnished  by  the  state-level  Uniform  Cnme  Reporting  (UCR)  Program  administered  by  the  Illinois  Department  of  State  Police  were  not 
national  UCR  guidelines  and  were  excluded  from  the  Forcible  rape,  Violent  cnme,  Cnme  Index  total,  and  Modified  Crime  Index  total  categories, 


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able  14.  —  Crime  Rates,  Offenses  Known  to  the  Police,  Population  Group,  1986 

986  estimated  population.  Rate:  Number  of  crimes  per  100,000  inhabitants] 
Modified 
Index 


DTAL  ALL  AGENCIES: 

1,297  agencies; 
population  219,372,000: 

Number  of  offenses  known  . 

Rate 

3TAL  CITIES:  8,298  cities; 
population  148,773,000: 

Number  of  offenses  known  . 

Rate 

Group  I 

cities,  250,000  and  over; 
population  44,077,000: 
Number  of  offenses  known 
Rate 

cities,  1,000,000  and  over; 

population  19,993,000: 
Number  of  offenses  known 
Rate 

i  cities,  500,000  to  999,999; 

population  10,683,000: 
Number  of  offenses  known 
Rate 

cities,  250,000  to  499,999; 
population  13.401,000: 
Number  of  offenses  known 
Rate 

Group  II 

6  cities,  100,000  to  249,999; 
population  18,385,000: 

Number  of  offenses  known  . 
Rate 

Group  III 

7  cities,  50,000  to  99,999; 
population  19,613,000: 

Number  of  offenses  known 
Rate 


147 


Table  14.  —  Crime  Rates,  Offenses  Known  to  the  Police,  Population  Group,  1986  —  Continued 


Population  group 

3f 

Modified 

» 

Property 

Murder 
negligent 

Forcible 

— 

Aggra- 

Burglary 

theft 

S£ 

ArW 

Group  IV 

631  cities,  25,000  lo  49,999; 
population  21,853,000: 
Number  of  offenses  known 

1,273,725 
6,293.1 

103,750 
512.6 

1,169,975 
5.353.9 

1,110 
5.1 

6,515 
32.2 

29,561 
135.3 

66.564 
304.6 

288,596 
1.320.6 

788,338 
3,607.5 

93,041 
425.8 

Group  V 

1,531  cities,  10.000  to  24,999; 
population  24.054,000: 
Number  of  offenses  known 
Rate    

1,138,660 
5,103.1 

80,203 
359.4 

1,058,457 
4,400.3 

944 
3.9 

4,958 
22.2 

18,444 
76.7 

55,857 
232.2 

248,351 

1.032.5 

736.164 
3.060.5 

73,942 
307.4 

Group  VI 

5,662  cities  under  10,000; 
population  20,791,000: 

Number  of  offenses  known 

Rate 

895,232 
4,588.0 

59,670 
305.8 

835,562 

4,018.9 

733 
3.5 

3,275 

9,142 
44.0 

46,520 
223.8 

186,264 

895.9 

602,657 

2,898.7 

46,641 
224.3 

Suburban  Counties 

1,255  agencies;  population 
43,160,000: 

Number  of  offenses  known 

Rate 

1,713,172 
4,092.6 

171.573 
409.9 

1,541,599 
3,571.8 

2,632 
6.1 

13,420 
32.1 

41,741 
96.7 

113,780 
263.6 

499,011 
1,156.2 

903,044 
2.092.3 

139,544 
323.3 

Rural  Counties'1 

2,744  agencies;  population 
27,439,000: 
Number  of  offenses  known 

542,407 
2,053.6 

50,935 
192.8 

491,472 
1,791.1 

1,473 
5.4 

5,300 
20.1 

4,274 
15.6 

39,888 
145.4 

191,433 
697.7 

268,464 
978.4 

31.575 
115.1 

Suburban  Area5 

5,739  agencies;  population 
87.460,000: 
Number  of  offenses  known 

3,873,314 
4,683.6 

328,579 
397.3 

3,544,735 
4,053.0 

4,241 
4.8 

22,790 
27.6 

84,339 
96.4 

217,209 
248.4 

969,967 
1,109.0 

2,272,375 
2,598.2 

302.393 
345.8 

than  for  other 


Crime  Index  offenses    Independently  tabulated 


Arson  rates  are  not  presented  in  this  table  because  fewer  agencies  furnished  complete  reports  for 
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  (he  property  crime  of  arson. 

^Includes  state  police  agencies  with  no  county  breakdown. 

■Includes  suburban  ctty  and  county  law  enforcement  agencies  within  metropolitan  areas.   Excludes  central  cities.   Suburban  cities  and  counties  ; 
Population  figures  were  rounded  to  the  nearest  thousand.   All  rates  were  calculated  on  the  population  before  rounding. 

Forcible  rape  figures  furnished  by  the  state-level   Uniform  Crime  Reporting  (UCR)  Program  administered  by  the  Illinois  Department  of  State  Police 
national  UCR  guidelines  and  were  excluded  from  the  Forcible  rape.  Violent  crime,  and  Cnme  Index  total  categories.  The  rates  for  these  categories  were  calculated  excluding  the 
for  the  state  of  Illinois. 


also  included 


148 


'able  15.  — Crime  Rates,  Offenses  Known  to  the  Police,  Suburban  and  Nonsuburban  Cities',  Population  Group,  1986 

1986  estimated  population.  Rale:  Number  of  crimes  per  100,000  inhabitants] 


Suburban  Cities 

OTAL  SUBURBAN  CITIES: 

484  cities;  population 
44,300,000: 

Number  of  offenses  known  . 

Rate 


I  cities,  25.000  to  49,999; 

population  15,774,000: 
Number  of  offenses  known 
Rate 


)73  cities.  10.000  to  24.999; 

population  17.065,000: 

Number  of  offenses  known 
Rate  


154  cities  under  10,000 
population   11,461,000: 


Nonsuburban  Cities 

)TAL  NONSUBURBAN 
CITIES:  3,340  cities; 
population  22,398,000: 

Number  of  offenses  known  . 

Rate 


Group  IV 

I  cities,  25.000  to  49,999; 
wpulation  6.079.000: 
Number  of  offenses  known 

Rate 


1  cities,  10.000  to  24.999; 
(opulation  6,989,000: 

Number  of  offenses  known 

Rate 


38  cities  under  10,000; 
lopulation  9,330.000: 

Number  of  offenses  known  . 

Rate 


negligent 


14.9 


27  7 


XII 


:y  law  enforcement  agencies  within  the  metropolitan  area-  Central  cities 
than  for  the  other  seven  Crime  Index  offenses.  Independently  tabulated 


Suburban  places  are  within  Metropolitan  Statistical  Areas  (MSAs)  and  include  suburban  city  and 
excluded.  Nonsuburban  places  are  outside  MSAs. 

Arson  rates  are  not  presented  in  this  table  because  fewer  agencies  furnished  complete  reports  for  : 
)n  rates  appear  on  page  37  of  this  publication. 
Violent  crimes  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  crime  of  arson 

"l "  "sur«  *ere  rounded  to  the  nearest  thousand    All  rates  were  calculated  on  the  population  before  rounding. 

Forcible  rape  figures  furnished  by  the  state-level  Uniform  Crime  Reporting  (UCR)  Program  administered  by  the  Illinois  Department  of  State  Police  were  not  in  accordance  with 
luded  from  the  Forcible  rape.  Violent  crime,  and  Crime  Index  total  categories.  The  rates  for  these  categories  were  calculated  excluding  the 


149 


Table  16.  —  Crime  Rates,  Offenses  Known  to  the  Police,  Suburban  and  Nonsuburban  Counties,  Population  Group,  1986 

[1986  estimated  population.  Rate:  Number  of  crimes  per   100,000  inhabitants] 


Population  group 

Index 

Modified 

IS 

•33 

negligent 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 

Burglary 

theft 

Motor 
vehicle 
theft 

Arson' 

Suburban  Counties* 

100,000  and  over 

103  counties;  population 
24,886,000: 

Number  of  offenses  known 

Rate 

1,200,541 
4,919.6 

122,216 
500.8 

1,078.325 
4,333.1 

1.656 
6.7 

8,417 
34.5 

35,529 
142.8 

76,614 
307.9 

337,317 
1,355.5 

638,066 
2,564.0 

102,942 

413.7 

25,000  to  99,999 

311  counties;  population 
15,614,000; 

Number  of  offenses  known 

Rate 

389,607 
2,610.6 

35,860 
240.3 

353.747 
2,265.6 

720 

3,500 
23.5 

4.536 
29.1 

27,104 
173.6 

126,949 
813.0 

203,629 
1,304.1 

23.169 
148.4 

Under  25,000 

841  counties;  population 
2,660,000: 

Number  of  offenses  known         

Rate 

123,024 
4,857.5 

13,497 
532.9 

109,527 
4,117.1 

256 
9.6 

1,503 
59.3 

1.676 
63.0 

10.062 
378.2 

34,745 
1,306.0 

61,349 
2,306.1 

13.433 
504.9 

Nonsuburban  Counties4 

25,000  and  over 

286  counties;  population 
11,229,000: 
Number  of  offenses  known 
Rate 

219,818 
1,979.2 

20.968 
188.8 

198,850 

1,770.8 

541 
4.8 

2,097 
18.9 

1,972 
17.6 

16.358 

145.7 

76,097 
677.7 

1 10,960 
988.1 

11,793 
105.0 

10,000  to  24,999 

710  counties;  populadon 

11,115,000: 

Number  of  offenses  known 

Rate 

169,220 
1.622.7 

14,367 
137.8 

154,853 
1.393.2 

447 
4.0 

1,234 
11.8 

1,069 
9.6 

11,617 
104.5 

62.297 
560.5 

83,536 
751.6 

9,020 
81.2 

Under  10,000 

1,649  counties;  population 
4,699,000: 

Number  of  offenses  known 

Rate     

129,867 
2,898.0 

12,902 
287.9 

116.965 
2,489.4 

432 
9.2 

1.691 

37.7 

1,039 
22.1 

9,740 
207.3 

45,040 
958.6 

63,163 
1,344.3 

8.762 
186.5 

fewer  agencies  furnished  complete  reports  for  ; 


than  for  the  other 


Crin 


Index  offenses    Independently  tabulated 


included  for  the  property 


Arson  rates  are  not  presented  in  this  table  I 
arson  rates  appear  on  page  37  of  this  publication. 

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

Property  crimes  are  offenses  of  burglary,  larceny-theft,  and  motor  vehicle  theft.  Data 

4Offenses  include  sheriffs'  and  county  law  enforcement  agencies.  State  police  offenses  are  not  included. 
Population  figures  were  rounded  to  the  nearest  thousand.  All  rates  were  calculated  on  the  population  before  rounding. 

Forcible  rape  figures  furnished  by  the  state-level  Uniform  Crime  Reporting  (UCR)  Program  administered  by  the  Illinois  Department  of  State  Police  were  not  in  accordance  w 
national  UCR  guidelines  and  were  excluded  from  the  Forcible  rape.  Violent  crime,  and  Crime  Index  total  categories.  The  rates  for  these  categories  were  calculated  excluding  the 
population  for  the  state  of  Illinois. 


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152 


rable  18.  — Offense  Analysis,  1986,  and  Percent  Change  from  1985 

;i3,378  agencies;   1986  estimated  population  225,261,000] 


vIURDER 
FORCIBLE  RAPE 
JOBBERY 

Total 


Street/highway 
Commercial  house 
Gas  or  service  slati 


Miscellaneous 


3URGLARY: 

Total 

Residence  (dwelling): 

Night 

Day 

Unknown  

Nonresidence  (store,  office,  etc.): 

Night 

Day 

.ARCENY  THEFT  (EXCEPT  MOTOR  VEHICLE  THEFT) 
Total 

By  type: 

Pocket-picking 

Purse-snatching 

Shoplifting 

From  motor  vehicles  (except  accessories) 

Motor  vehicle  accessories 

From  buildings 

From  coin-operated  machines 

All  others 

By  value; 

Over  $200 

$50  to  $200 

Under  $50 
rfOTOR  VEHICLE  THEFT  


18,967 
85,988 


2K5.W 
63,284 
15,839 
27,091 
53,595 
6,465 
61,754 


:.049,247 
661,676 
852,147 
535,424 
990,708 
503,335 
189,192 
298,181 


78,932 

+  1.8 

89,781 

+  10.7 

1,008,162 

+  10.6 

1,409,881 

+9.7 

1,134,439 

+4.0 

490,053 

-7.1 

1,034,579 

+  1.3 

61,287 

+  10.2 

1,515,872 

+4.5 

2,338,856 

+5.6 

1,848,818 

+  1.8 

2,635,312 

+6.7 

Because  of  rounding,  percentages  may 


add  to  totals 


rable  19.  —  Type  and  Value  of  Property  Stolen  and  Recovered,  1986 

13,378  agencies;   1986  estimated  population  225,261,000] 


Type  of  property 

Value  of  property 

Stolen 

Recovered 

recovered 

$11,583,489,000 

$4,120,101,000 

746,831,000 
1,161,574,000 

263,047,000 
5,699,475,000 

182,453,000 
1,018,055,000 

125,547,000 

214,990,000 

79,549,000 

21,365,000 

2,070,602,000 

44,341,000 
61,255,000 
30,613,000 
3,647,376,000 
15,639,000 
52,933,000 
12,431,000 
15,551,000 
9,776,000 
3,823,000 
226,364,000 

livestock            

17.9 

and  percentages  calculated  before  rounding. 


153 


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 
1986.  The  overall  clearance  rate  for  violent  crime  was  46 
percent  with  a  70-percent  clearance  rate  for  murder,   52 


percent  for  forcible  rape,  25  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. 

Seventeen  percent  of  the  property  crimes  collectively  were 
cleared.  The  clearance  rate  for  burglary  was  14  percent,  and 
for  larceny-theft,  20  percent.  For  both  motor  vehicle  theft 
and  arson,  clearance  rates  of  15  percent  were  recorded. 
When  considering  the  total  Modified  Crime  Index  which 
includes  arson,  the  overall  clearance  rate  remained  the 
same,  21  percent. 

Geographically,  the  highest  clearance  rate  for  the  total 
Crime  Index  offenses  was  registered  in  the  Southern  States 
with  22  percent.  Following  were  the  Western  States  with  21 
percent,  the  Midwestern  States  with  20  percent,  and  the 
Northeastern  States  with  19  percent.  In  addition  to 
registering  the  highest  Crime  Index  clearance  percentage, 
the  Southern  States  also  recorded  the  most  successful 
violent  crime  clearance,  50  percent. 


Percent  of  Offenses  Cleared  by  Arrest1, 

Region,  1986 

.... 

Crime 

Modified 
Index 

™r 

■a? 

Murder  and 

negligent 

lu.insl.iugliU' 

Forcible 
rape 

Robbery 

Aggra- 

Burglary 

Urceny- 
theft 

vehicle 

Arson 

United  States  total 

20 .7 

20.7 

46.3 

17.5 

70.2 

52.3 

24.7 

59.4 

13.6 

1"' 

14.8 

15.3 

19.2 
19.7 
21.8 

21.2 

19.2 
19.7 
21.8 
21.1 

42.5 
42.2 
50.5 
46.9 

15.6 

17.1 
18.3 
18.0 

69.2 

64.7 
75.9 

64.7 

55.9 
45.1 
56.8 
48.5 

24.9 
20.1 
27.0 
25.2 

58.6 
55.3 
62.0 
59.4 

13.4 

15.5 
12.5 

18.1 
19.8 
19.6 
20.7 

8.9 
13.9 
18.7 
16.3 

includes  exceptional  clearances 


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  and 
suburban  counties  cleared  21  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  1986 
U.  S.  population. 


Nineteen  percent  of  the  Crime  Index  offenses  cleared  by 
law  enforcement  during  1986  involved  only  young  people 
under  age  18.  Persons  in  this  age  group  accounted  for  9 
percent  of  the  violent  crime  clearances  and  23  percent  of 
those  for  property  crimes.  Murder  showed  the  lowest 
percentage  of  juvenile  involvement  (5  percent),  while  the 
highest  percentage  was  shown  for  arson  (35  percent). 

Regionally,  the  Midwest  recorded  the  largest  percentage 
of  Crime  Index  offense  involvement  by  the  under  18  age 
group- 24  percent.  Juveniles  were  the  offenders  in  21 
percent  of  the  clearances  in  the  Western  States,  18  percent 
of  those  in  the  Northeastern  States,  and  16  percent  of  those 
in  the  Southern  States. 


CRIMES  CLEARED  BY  ARREST 
1986 

CRIMES  OF  VIOLENCE 

NOT  CLEARED  CLEARED 


^:?:-:v:-:-:-:-::::::::^::::: 

MURDER                     70% 

AGGRAVATED  cqo/ 
ASSAULT             0y  /o 

I'             :'..:: 

FORCIBLE      c00/ 
RAPE              °* /o 

I 

f                  .  -:    •   .. 

OBBERY 

25% 

.     ..:.;•? 

CRIMES  AGAINST  PROPERTY 

NOT  CLEARED  CLEARED 


BURGLARY 

1 

•  larceny-theft; 

||y-:     MOTOR  VEHICLE  THEFT 

* 

14% 
20% 

15% 


155 


Table  20.  —  Offenses  Known  and  Percent  Cleared  by  Arrest',  Population  Group, 

[1986  estimated  population] 


Population  group 

3f 

Modified 

» 

Property 

Murder 
negligent 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 

Burglary 

l=" 

theft 

W 

TOTAL  ALL  AGENCIES: 

13,599  agencies;  total 

population  227,574,000: 

Offenses  known 

12,734,405 

12.844,439 

1,445,965 

11.288,440 

19,933 

83,544 

535,295 

807,193 

3,114,788 

6,983,439 

1,190,213 

110,03- 

Percent  cleared  by  arrest 

20.7 

20.7 

46.3 

17.5 

70.2 

52.3 

24.7 

59.4 

13.6 

19.7 

14.8 

15. 

TOTAL  CITIES:  9,297  cities; 

total  population  153.987,000: 

Offenses  known 

10,432,007 

10,517,659 

1,218,417 

9,213,590 

15,739 

64,769 

487,812 

650,097 

2,414,984 

5,783,979 

1,014,627 

85,65 

Percent  cleared  by  arrest 

20.7 

20.7 

44.6 

17.5 

70.0 

51.5 

24.2 

58.6 

13.1 

20.1 

13.6 

14. 

Group  I 

60  cities,  250,000  and  over; 

total  population  43,808,000: 

Offenses  known 

4,177,955 

4,219,269 

673,4X1 

3,504.474 

9,437 

31,689 

327,513 

304,842 

976,277 

1,975,851 

552,346 

41.31 

Percent  cleared  by  arrest 

18.2 

18.1 

39.7 

14.1 

66.1 

51.0 

22.3 

56.5 

11.1 

16.6 

10.2 

10. 

8  cities,  1,000,000  and  over; 

total  population  19.993,000: 

Offenses  known  

1,866,678 

1,888.829 

367,677 

1,499,001 

5,008 

11.473 

191,943 

159,253 

402,772 

796,900 

299.329 

22,15 

Percent  cleared  by  arrest 

17.4 

17.2 

37.7 

12.4 

62.9 

49.0 

21.4 

55.9 

10.2 

14.7 

9.0 

5. 

16  cities,  500,000  to  999,999; 

total  population  10,683,000: 

Offenses  known 

963,356 

971,384 

125,607 

837.749 

1,926 

8.666 

59,450 

55,565 

231.065 

491,397 

115.287 

8,02 

Percent  cleared  by  arrest 

18.0 

17.9 

40.7 

14.5 

68.8 

54.2 

22.9 

56.6 

11.7 

16.5 

12.0 

17. 

36  cities.  250.000  to  499,999; 

total  population  13,131,000: 

Offenses  known 

1,347,921 

1,359,056 

180.197 

1,167,724 

2,503 

11,550 

76.120 

90,024 

342.440 

687,554 

137,730 

11.13 

Percent  cleared  by  arrest 

19.5 

19.5 

43.2 

15.9 

70.4 

50.6 

24.1 

57.6 

11.7 

18.9 

11.3 

15. 

Group  II 

126  cities,  100,000  to  249,999; 

total  population  18,385,000: 

Offenses  known 

1,509,219 

1,522,184 

162,014 

1,347,205 

2,075 

9.655 

58,421 

91.863 

378,275 

850,723 

118.207 

12,96 

Percent  cleared  by  arrest 

21.4 

21.4 

49.0 

18.1 

75.0 

51.6 

29.1 

60.7 

13.5 

20.5 

15.3 

16. 

Group  III 

301  cities,  50,000  to  99,999; 

total  population  20,589,000: 

Offenses  known 

1,306,225 

1,315,824 

127,563 

1,178,662 

1,300 

8,014 

42,337 

75,912 

309,389 

748,223 

121,050 

9.59 

Percent  cleared  by  arrest 

21.8 

21.8 

46.8 

19.1 

73.6 

49.9 

26.7 

57.3 

13.7 

22.3 

13.4 

15. 

fable  20.  —  Offenses  Known  and  Percent  Cleared  by  Arrest',  Population  Group,  1986  —  Continued 


Population  group 

3f 

Modified 
Indci 

» 

Property 

negligent 
slaughter 

rape 

Robbery 

Aggra- 

Burglary 

Ihefl" 

3 

Arson= 

Group  IV 

56  cities,  25,000  to  49,999; 
total  population  22,659,000: 

Offenses  known 

Percent  cleared  by  arrest 

1,295,961 

22.3 

1,304,195 

22.2 

106.525 
48.4 

1,189,436 
19.9 

1,144 
73.6 

6.638 
49.1 

30,343 
26.8 

68,400 

57.5 

293,386 
14.2 

800,301 

22.5 

95,749 
16.5 

8,234 
17.3 

Group  V 

,61 1  cities,  10,000  to  24,999; 
total  population  25,333,000: 
Offenses  known 
Percent  cleared  by  arrest 

1,180,683 
23.8 

1,187,845 
23.8 

84,060 

53.8 

1,096,623 
21.5 

985 
80.8 

5.160 
54.2 

19,287 
30.0 

58,628 
61.1 

257,122 
15.4 

762,972 
23.6 

76,529 
21.5 

7,162 
20.6 

Group  VI 

,543  cities  under  10,000;  total 
population  23.212,000: 

Offenses  known 

Percent  cleared  by  arrest 

961,964 

23.1 

968,342 

23.1 

61.5 

897,190 

20.3 

798 
79.3 

3,613 
58.6 

9,911 
31.5 

50,452 
67.3 

200,535 
16.7 

645,909 
20.7 

50,746 
29.1 

6,378 
22.8 

Suburban  Counties 

,326  agencies;  total 
population  44,310,000: 
Offenses  known 

1,736,944 

1,754,611 

174,679 

1,562,265 

2,642 

13,292 

43.042 

115,703 

501,473 

918,182 

142.610 

17,667 

Rural  Counties 

,976  agencies;  total 
population  29,278,000: 

Offenses  known 

Percent  cleared  by  arrest 

565,454 
22.0 

572,169 
22.0 

52,869 
63.9 

512,585 

17.7 

1,552 
78.1 

5,483 
58.1 

37.6 

41,393 
67.0 

198,331 
16.1 

281,278 
17.0 

32,976 
32.3 

6,715 
20.1 

Suburban  Area5 

,364  agencies;  total 
population  91,779,000: 

Offenses  known 

Percent  cleared  by  arTest 

3,981,933 
21.1 

4,014,176 
21.1 

339,359 
51.7 

3,642.574 
18.3 

4.318 
69.3 

23,042 
52.9 

87,382 
27.4 

224,617 
60.7 

990,405 
14.7 

2,339,976 
19.8 

312,193 
18.4 

32,243 
17.9 

Includes  offenses  cleared  by  exceptional  means. 

2The  number  of  agency  reports  used  in  arson  clearance  rates  is  less  than  used  in  compiling  clearance  rat 
sed  in  the  arson  column  for  this  table  is  greater  than  the  number  used  in  the  clearance  tables  on  page  39, 
d  be  included  in  this  table.  The  Modified  Cnme  Index  total  is  the  sum  of  the  Crime  Index  offenses,  including  arson. 

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

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

'includes  suburban  city  and  county  law  enforcement  agencies  within  metropolitan  areas.  Excludes  central  cities.  Suburban  cities  and  counties  are  also  included  in  other  groups. 

Forcible  rape  figures  furnished  by  the  state-level  Uniform  Cnme  Reporting  (UCR)  Program  administered  by  the  Illinois  Department  of  State  Police  were  not  in  accordance  wit 
ational  UCR  guidelines  and  were  excluded  from  the  Forcible  rape,  Violent  cnme.  Crime  Index  total,  and  Modified  Cnme  Index  total  categories. 


Table  21.  —  Offenses  Known  and  Percent  Cleared  by  Arrest  ,  Geographic  Division,  1986 

[1986  estimated  population] 


Geographic  division 

Index 

Modified 

» 

Property 

Murder 
negligent 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 

Burglary 

theft 

theft 

Arso, 

TOTAL  ALL  DIVISIONS 

13,599  agencies;  population 
227,574,000: 
Offenses  known 

12,734,405 
20.7 

12,844,439 
20.7 

1,445,965 
46.3 

11,288,440 

17.5 

19,933 

70.2 

83.544 
52.3 

535,295 

24.7 

807,193 
59.4 

3,114,788 
13.6 

6,983,439 
19.7 

1,190,213 
14.8 

110,034 
15.3 

Percent  cleared  by  arrest 

New  England  States 

684  agencies;  population 

11,191,000: 

Offenses  known 

520,210 
18.7 

524,867 
18.6 

48,922 
44.4 

471,288 
16.0 

417 
65,5 

2,978 
53.4 

18,274 
22.3 

27,253 
57.8 

123,285 
13.8 

276,309 
18.7 

71,694 
9.3 

4,657 

Percent  cleared  by  arrest 

15.3 

Middle  Atlantic  States 

2,405  agencies;  population 
36,930,000: 

Offenses  known 

Percent  cleared  by  arrest 

1,763,863 
19.4 

1,783,880 
19.3 

258,839 

42.1 

1,505,024 
15.5 

2,951 
69.7 

10,790 
56.6 

129,219 
25.3 

115.879 
58.8 

379,172 
13.3 

914,552 
18.0 

211,300 
8.8 

20,017 
11.5 

East  North  Central  States 

2,197  agencies;  population 
37,866,000: 
Offenses  known 

1,991,891 
18.9 

2,009,891 
18.9 

229,326 
40.2 

1,762,565 
16.2 

3,013 
61.9 

12,117 
43.2 

87,218 
19.1 

126,978 
53.9 

439,870 
10.8 

1,114,390 
19.0 

208,305 
12.6 

18,000 

Percent  cleared  by  arrest 

10.7 

West  North  Central  States 

1,327  agencies;  population 
15,881,000: 

Offenses  known 

Percent  cleared  by  arrest 

707,179 
22.0 

712,470 
22.0 

58,048 
50.1 

649,131 
19.5 

757 
75.8 

4.198 
50.7 

16.009 
25.5 

37,084 
60.1 

160.619 
13.1 

441,760 
21.8 

46.752 
19.9 

5.291 
19.0 

South  Atlantic  States 

2,653  agencies;  population 
40,151,000: 

Offenses  known  

Percent  cleared  by  arrest 

2,308,135 
23.1 

2,323,758 
23.1 

276,748 
51.5 

2,031,387 
19.3 

3,955 

75.2 

16,199 
58.3 

90.141 

27.3 

166,453 
63.4 

593.197 

17.2 

1,273,599 

19.8 

164,591 
22.0 

15.623 
18.6 

East  South  Central  States 

1,017  agencies;  population 
12,546,000: 
Offenses  known 

524,537 
20.6 

529,051 
20.6 

61,829 

47.8 

462,708 

17.0 

1,235 
85.6 

4.287 
51.2 

18.162 
23.1 

38,145 
57.9 

146,468 
12.9 

273.122 
19.2 

43.118 
17.0 

4,514 

Percent  cleared  by  arrest 

24.3 

West  South  Central  States 

1,378  agencies;  population 
25,815,000: 
Offenses  known 

1,760,932 
20.4 

1,773,902 
20.4 

163,201 

1,597,731 

17.4 

3,218 

73.2 

12,068 
56.8 

54,945 

27.7 

92,970 
61.2 

480,774 

14.2 

953.351 

19.3 

163,606 
15.8 

12,970 
19.6 

Percent  cleared  by  arrest 

Mountain  States 

755  agencies;  population 
12,452,000: 

Offenses  known     

Percent  cleared  by  arrest 

791,684 
23.9 

797,469 

23.9 

63,374 
53.6 

728,310 

21.3 

911 
70.9 

4,818 
50.4 

16,207 
27.8 

41.438 
63.7 

192,816 

12.6 

489.516 

24.5 

45,978 
23.1 

5.785 

21.8 

Pacific  States 

1,183  agencies;  population 
34,743,000: 

Offenses  known 

Percent  cleared  by  arrest 

2,365,974 
20.3 

2,389,151 
20.2 

285,678 
45.5 

2,080,296 
16.8 

3,476 
63.1 

16.089 
48.0 

105,120 
24.8 

160,993 

58.3 

598,587 
12.5 

1,246.840 
19.2 

234,869 

14.9 

23.177 
13.3 

Includes  offenses  cleared  by  exceptional  means. 

2The  number  of  agency  reports  used  in  arson  clearance  rates  is  less  than  used  in  compiling  clearance  rates  for  other  Crime  Index 
used  in  the  arson  column  for  this  table  is  greater  than  the  number  used  in  the  clearance  table  on  page  39,  since  it  is  not  necessary  to 
be  included  in  this  table.  The  Modified  Crime  Index  total  is  the  sum  of  the  Crime  Index  offenses,  including  arson. 

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

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

Forcible  rape  figures  furnished  by  the  state-level  Uniform  Cnme  Reporting  (UCR)  Program  administered  by  the  Illinois  Department 
national  UCR  guidelines  and  were  excluded  from  the  Forcible  rape.  Violent  cnme.  Cnme  Index  total,  and   Modified  Cnme  Index  total  i 


158 


j 

1 

|3 

P 

*  2 

3.065 

539 
26.3 

1,049 
20.0 

s- 

S3 

5.2 

1 

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Table  23.  —  Offenses  Cleared  by  Arrest1 

[1986  estimated  population] 


of  Persons  Under  18  Years  of  Age,  1986 


Population  group 

Index 

Modified 

25 

Property 

Murder 
negligent 

Frie 

Robbery 

Aggra- 

Burglary 

theft 

5F 

Arson! 

TOTAL  ALL  AGENCIES: 

13,461  agencies;  population 
223,695,000: 

2,600,384 

2,616,652 

657,297 

1,943,087 

13,619 

42,808 
9.6 

32,665 
9.5 

130,010 

470,860 
8.4 

374,493 

8.5 

416,708 
20.9 

312,495 

20.7 

1,354,885 
23.4 

1,150,792 
23.9 

171,494 

20.2 

135,122 
20.3 

16,268 

35.4 

11,907 
37.1 

TOTAL  CITIES:  9,279  cities; 
population  151,832,000: 

2,132,779 
19.5 

2,144,686 
19.6 

534,370 
9.1 

1,598,409 
23.0 

10,733 
4.6 

116,479 
11.4 

Group  I 

58  cities,  250,000  and  over; 
population  42.676.000: 

747,689 
14.4 

324,109 
11.3 

164,265 
16.9 

259,315 

751,780 

325.416 
11.4 

165,327 
17.0 

261.037 
16.7 

262,453 
7.5 

138,733 
6.3 

47,334 
9.8 

76.386 
8.1 

485,236 

18.1 

185,376 
15.0 

116.931 
19.8 

182,929 
20.2 

6.017 
3.9 

3.149 
3.5 

1,170 
4.5 

1,698 
4.1 

15.686 
7.5 

5,626 
6.5 

4.317 

5.743 
8.0 

71,750 

41,010 
8.4 

12.738 
13.2 

18,002 
10.0 

169,000 
6.7 

88,948 
5.5 

29,109 
8.7 

50,943 
7.6 

106,378 
16.4 

41.204 
13.9 

25,733 
17.4 

39,441 
18.4 

324.070 
18.5 

117,274 
15.3 

78,656 
19.5 

128,140 
20.7 

54,788 
19.2 

26,898 

15.5 

12,542 
26.3 

15,348 
19.9 

4.091 
28.3 

1,307 
25.2 

1.062 
31.5 

1,722 
28.6 

Percent  under  18 

8  cities,  1,000,000  and  over: 
population  19,993,000: 

Total  clearances 

Percent  under  18 

15  cities,  500,000  to  999,999; 

population  10,023.000: 

Total  clearances 

Percent  under  18 

35  cities,  250.000  to  499,999; 

population  12,660,000: 

Total  clearances 

Percent  under  18 

Group  II 

121  cities,  100,000  to  249,999; 
population  17.632,000: 

Total  clearances 

Percent  under  18 

311.485 
18.5 

313,491 
18.6 

75,915 
9.6 

235,570 

21.4 

1,490 
5.4 

4.828 
9.7 

16.449 
13.0 

53,148 
8.7 

49,405 
17.2 

168,731 

22.7 

17,434 
20.3 

2.006 
36.4 

Group  III 

300  cities,  50,000  to  99.999; 
population  20,525,000: 

284,145 

285,614 

59.710 

224,435 

955 

3.994 

11,292 

43,469 
10.8 

42,106 

22.5 

166,124 
26.2 

16,205 
21.8 

1,469 
40.0 

Group  IV 

553  cities,  25,000  to  49,999; 
population  22.544,000: 

287,466 

23.3 

288,882 
23.4 

51,453 
11.2 

236,013 
26.0 

842 
7.0 

3.250 
10.7 

8,109 
14.9 

39.252 
10.5 

41,464 
23.9 

178,878 
26.9 

15,671 
21.2 

1.416 

Percent  under  18 

161 


Table  23.  —  Offenses  Cleared  by  Arrest'  of  Persons  Under  18  Years  of  Age,  1986  —  Continued 


Population  group 

Index 

Modified 

3* 

•B 

Murder 
negligent 

Forcible 

Robbery 

Aggra- 

Burglary' 

iheft 

Moior 
iheft 

W 

Group  V 

1,605  cities,  10,000  to  24,999; 
population  25,242,000: 

280,028 
23.8 

221,966 
24.1 

347,482 
17.9 

120,123 
15.8 

829,354 
21.3 

281,500 
23.9 

223,419 
24.3 

350,523 
18.0 

121,443 
15.8 

835,006 

21.4 

44,998 
10.5 

39,841 
10.7 

90,220 
9.0 

32,707 

173,656 
10.4 

235,030 
26.4 

182,125 
27.1 

257,262 
21.0 

87,416 
19.3 

655,698 
24.2 

796 
6.4 

633 
3.9 

1.710 

1,176 

2,944 
5.6 

2.789 
11.4 

2,118 
13.2 

7,040 
9.3 

3,103 
10.3 

12,048 
10.5 

5,760 
13.6 

3,119 
13.3 

11,897 

10.7 

1,634 
6.7 

23,744 
12.8 

35,653 
10.0 

33,971 
10.4 

69,573 
8.8 

26,794 
5.9 

134,920 
10.0 

39,599 
25.0 

33,543 
28.3 

73.157 
21.0 

31,056 

142,603 
23.3 

179,154 
27.2 

133.835 
27.4 

157,972 
21.1 

46,121 
17,4 

457,308 
24.9 

16,277 
20.5 

14,747 
21.7 

26,133 
20.0 

10,239 
19.4 

55,787 
20.5 

Group  VI 

6,542  cities  under  10,000; 
population  23,212,000: 

Suburban  Counties 

1,284  agencies; 
population  43,212,000: 

Rural  Counties 

2,898  agencies; 
population  28,651,000: 

Suburban  Areas' 

6,315  agencies;  population 
90,510,000: 

Includes  offenses  cleared  by  exceptional  means. 

2The  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  is  greater  than  the  number  used  in  the  clearance  tables  on  page  39,  since  it  is  not  necessary  to  report  clearances  by  detailed  property 
classification  to  be  included  in  this  table.  The  Modified  Crime  Index  total  is  the  sum  of  the  Crime  Index  offenses,  including  arson. 
3Violent  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  suburban  city  and  county  law  enforcement  agencies  within  metropolitan  areas.  Excludes  central  cities.  Suburban  cities  are  also  included  in  other  city  groups. 

ot  in  accordance  w 


SECTION  IV 
PERSONS  ARRESTED 


In  addition  to  being  a  gauge  of  law  enforcement's 
response  to  crime,  arrest  counts  provide  definitive  data 
:oncerning  the  age,  sex,  race,  and  ethnic  origin  of  the 
jerpetrators.  Arrest  practices,  policies,  and  enforcement 
;mphases  vary  from  place  to  place  and  even  within  a 
community  from  time  to  time  as,  for  example,  during  a  local 
Dolice  campaign  against  residential  burglary.  While  the 
jractices  for  certain  unlawful  conduct  such  as  drunkenness, 
disorderly  conduct,  vagrancy,  and  related  violations  may 
differ  among  agencies,  those  for  robbery,  burglary,  and 
jther  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 
;ited.  Annual  arrest  figures  do  not  measure  the  number  of 
ndividuals  arrested  since  one  person  may  be  arrested 
several  times  during  the  year  for  the  same  or  different 
jffenses. 

Law  enforcement  agencies  nationwide  made  an  estimated 
12.5  million  arrests  in  1986  for  all  criminal  infractions 
;xcept  traffic  violations.  When  the  arrest  volume  was 
•elated  to  the  total  United  States  population,  the  arrest  rate 
ivas  5,232  per  100,000  inhabitants.  In  cities  with  populations 
)f  250,000  or  more,  the  rate  was  7,735,  the  highest  recorded. 
For  suburban  county  agencies  overall,  the  arrest  rate  was 
5,914,  and  for  rural  county  law  enforcement,  it  was  3,440 
jer  100,000  inhabitants. 

Regionally,  the  arrest  rates  per  100,000  population 
■anged  from  4,180  in  the  Midwest  to  5,978  in  the  West.  The 
Jouth  recorded  an  arrest  rate  of  5,314  and  the  Northeast, 
5,402. 

\rrest  Trends 

The  number  of  arrests  for  all  offenses  except  traffic 
violations  increased  5  percent  in  1986  as  compared  to  the 
1985  volume.  During  the  same  time  period,  adult  arrests 
dso  rose  5  percent,  while  those  of  persons  under  1 8  years  of 
ige  were  up  3  percent.  Also  on  the  upswing  in  1986  were 
irrests  for  the  eight  Crime  Index  offenses  overall.  Compared 
:o  1985  totals,  Crime  Index  arrests  for  persons  of  all  ages 
ncreased  6  percent,  adult  arrests  rose  8  percent,  and 
juvenile  arrests  were  up  1  percent.  Arrests  for  the  Index's 
/iolent  crimes  jumped  12  percent  and  those  for  property 
;rimes  rose  4  percent. 

Similar  to  the  national  experience,  2-year  trends  for  city 
igencies  showed  a  5-percent  increase  in  total  arrests,  1986 
aver  1985.  Suburban  county  arrests  were  up  4  percent  and 
rural  county  arrests,  3  percent. 

For  the  5-year  period,  1982-1986,  total  arrests  increased  7 
percent.  While  adult  arrests  were  up  8  percent,  those  of 


persons  under  18  years  of  age  dropped  1  percent.  Five-year 
trends  for  the  Crime  Index  revealed  increases  of  3  percent 
for  total  arrests,  and  5  percent  for  adults.  Conversely, 
arrests  of  juveniles  under  18  years  of  age  dropped  4  percent. 
During  the  same  years,  total  violent  and  property  crime 
arrests  increased,  8  and   1  percent,  respectively. 

Increases  in  total  arrests  were  recorded  for  the  10  years, 
1977-1986.  Arrests  for  all  offenses  were  up  27  percent; 
Crime  Index  offenses,  18  percent;  violent  crimes,  33  percent; 
and  property  crimes,   15  percent. 

Arrests  for  drug  abuse  violations  were  2  percent  higher  in 
1986  than  in  1985  and  30  percent  above  the  1982  level.  The 
types  of  drugs  involved  in  violations  resulting  in  arrests 
during  1986  are  shown  by  geographic  region  in  the 
accompanying  table. 

Arrests  for  Drug  Abuse  Violations,  1986 


[Percent  distribution] 

r 

S: 

Mid- 

South- 
States 

States 

Total' 

1000 

100.0 

1000 

1000 

100.0 

Sale    Manufacture: 

25.1 

33.3 

26.3 

25.1 

18.8 

Heroin  or  Cocaine  and  their  derivatives 

12.7 

21.1 

5.6 

102 

11  0 

Marijuana 

7.9 

9.1 

9.0 

9.1 

5.5 

Synthetic  or  manufactured  drugs 

.8 

.9 

1.0 

14 

.2 

Other  dangerous  nonnarcotic  drugs 

3.7 

2.3 

10.7 

44 

2.1 

Possession: 

74.9 

66.7 

73.7 

74.9 

81.2 

Heroin  or  Cocaine  and  their  derivatives 

28.1 

28.2 

96 

20.2 

40  8 

Marijuana 

36.0 

32.8 

53  1 

46.9 

22.9 

Synthetic  or  manufactured  drugs 

1.8 

16 

1.8 

34 

6 

Other  dangerous  nonnarcotic  drugs 

9.1 

4.1 

9.2 

4.5 

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

Age 

Five  percent  of  all  persons  arrested  nationwide  in  1986, 
were  under  the  age  of  15;  17  percent  were  under  18;  31 
percent  were  under  21;  and  49  percent  were  under  25. 
Persons  in  the  under  25  age  group  accounted  for  50  percent 
of  arrests  in  the  cities,  45  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  30  percent  were  under  the  age  of  18; 
45  percent  were  under  21;  and  60  percent,  under  25.  The 
under  25  age  group  was  also  responsible  for  48  percent  of 
the  violent  crime  arrests  and  64  percent  of  property  crime 
arrests  in  1986. 
Sex 

Four  of  every  5  persons  arrested  in  the  Nation  during 
1986  were  males.  They  accounted  for  79  percent  of  Index 
crime  arrests,  89  percent  of  those  for  violent  crime,  and  76 
percent  of  the  property  crime  arrests.  Males  were  most  often 


163 


arrested  for  driving  under  the  influence,  which  accounted 
for  15  percent  of  all  male  arrests. 

As  in  past  years,  larceny-theft  was  the  crime  for  which 
females  were  most  often  arrested.  This  single  offense 
accounted  for  79  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. 

Arrests  of  both  males  and  females  rose  5  percent  from 
1985  to  1986.  Male  arrests  also  showed  a  5-percent  rise  from 
1982  to  1986,  while  female  arrests  were  up  13  percent  for 
the  same  5-year  period. 

Table  24.— Total  Estimated  Arrests',  United  States,  1986 


Race 

Race  distribution  figures  for  the  total  number  of  arrests  in 
the  United  States  during  1986  showed  71  percent  of  the 
arrestees  were  white,  27  percent  were  black,  and  the 
remainder  were  of  other  races.  Whites  accounted  for  52 
percent  of  the  arrests  for  violent  crimes  and  68  percent  of 
those  for  property  crimes,  while  blacks  accounted  for  46 
percent  of  the  violent  crime  arrests  and  30  percent  of  the 
property  crime  arrests. 


12,487,500 

Fr 

19.190 
37,140 
145,800 
351,770 
450,600 
1,400,200 
153,600 
18,700 

Murder  and  nonneghgent  manslaughter        

Forcible  rape 

Robbery        

Aggravated  assault 

Burglary      

Larceny-theft 

Motor  vehicle  theft 

Weapons:  carrying,  possessing,  etc. 
Prostitution  and  commercialized  vice 

Sex  offenses  {except  forcible  rape  and  prostitution) 

Drug  abuse  violations 

190,500 
112,600 
100,600 
824,100 

Arson 

553,900 
2,023,200 

Violent  crime' 

Property  crime4 

Liquor  laws 

600,200 

Disorderly  conduct 

2,577,100 

Crime  Index  total5 

All  other  offenses  (except  traffic) 

Suspicion  (not  included  in  totals) 

Curfew  and  loitering  law  violations 

Runaways  

2,730,500 

711,000 
92,200 

9,000 
86,200 
165,200 

^Arrest  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, 

[Rate:  Number  of  am 


and  Rate,  Region,  1986 

00.000  inhabitants] 


TOTAL 

Rate 

Murder  and  nonneghgent  manslaughter 

Rate 
Forcible  rape     

Rate 
Robbery 

Rate 
Aggravated  assault 

Rate 
Burglary 

Rate 
Larceny-theft      

Rate  

Motor  vehicle  theft 

Rate 
Arson 

Rate 

Violent  crime' 

Rate 
Property  crime2 

Rate 


Other  assaults  

Rate 

Forgery  and  counterfeiting 

Rate 

Rate  

Embezzlement 

Rate  

Stolen  property;  buying,  receiving, 
possessing 

Rate 

Vandalism    

Rate 

Weapons;  carrying,  possessing,  etc. 

Rate- 

Prostitution  and  commercialized  vice 

Rate 

Sex  offenses  (except  forcible  rape  and 
prostitution) 

Rate 

Drug  abuse  violations 

Rate 

Gambling     

Rate    

Offenses  against  family  and  children 

Rate 

Driving  under  the  influence 

Rate 

Liquor  laws 

Rate 

Drunkenness 

Rate 

Disorderly  conduct 

Rate 

Vagrancy 

Rate 

All  other  offenses  (except  traffic) 

Rate 

Suspicion  (not  included  in  totals) 

Rate 

Curfew  and  loitering  law  violations 

Rate  

Runaways  

Rate 


United  States  Total 

(10.743  agencies, 

population    I1K.4K.X.IIIX! 


1,384,722 
5,231.9 


124,245 

62.6 

293,952 


1X2,099 

595.6 

128,514 


465.391 

234.5 

1.701.680 

857.3 


593.902 
299.2 
76,546 
38.6 
284.790 
143.5 
10,500 


223,231 

112.5 

160,204 


691,882 

348.6 

25,839 

13.0 

47,327 

23.8 

1,458,531 

734.8 

490,436 

247.1 

777,866 

391.9 

564,882 

284.6 

32,992 

16.6 

2,272,589 

1,145.0 

7,455 

3.8 

72,627 

36.6 

138,586 

69.8 


ir'isjmi 


41.913 
105.0 
61.495 


Midwestern  States 
(2.618  agencies; 

population   4.1. 7M.mil 


190,900 

478.5 

21.864 


100,663 
252.2 
10,086 


62,751 
157.2 
23,900 


166,809 

417.9 

10,712 

26.8 

8,316 

20.6 

163,104 

408.6 

98,907 

247.8 

36,180 

90.6 

219,170 

549.0 

8,180 

20.5 

696,150 

1,743.9 

1,567 

3.9 

20,245 


50.7 


65.266 
149.2 

325.643 
744.3 


110.245 
252.0 
12.329 


55,372 
126.6 
30,369 


15.445 

35.3 

68,888 

157.4 

3,383 

7.7 

10,759 

24.6 

283,425 

647.8 

138,534 

316.6 

60,493 

138.3 

128,548 

293.8 

2,612 

6.0 

392,930 

898.C 

2,386 

5.5 

20,883 

47.7 

36,516 


(4.272  agencies; 

population  i.osoihkkii 


3,713,752 
5,313.7 


144.441 
206.7 

412.848 
590.7 

41,962 
60.0 
4,993 


228.7 

604.244 

864.6 


34,751 

49.7 

178,247 


54,405 

77.8 

65,104 


24,837 

35.5 

220,901 

316.1 

8,674 

12.4 

23,934 

34.2 

503,202 

720.0 

110,112 

157.5 

479,522 


748,068 
1,070.3 
3,174 
4.5 
9,122 
13.1 
50,594 


Violent  crimes  ar 
Property  crimes  l 
'Includes  arson. 


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Table  27.  — Total  Arrest  Trends,  1977-1986 

[8,494  agencies;   1986  estimated  population   180,790,000] 


Number  of  persons  arrested 

Offense  charged 

Total  all  ages 

Under   18  years  of  age 

18  years  of  age  and  over 

,977 

1986 

cha^e' 

1977 

,986 

change 

1977 

,986 

change 

7,524,937 

9,526,389 

+26.6 

1,824,712 

1,603,497 

-12.1 

5,700,225 

7,922,892 

Murder  and  nonnegligent  manslaughter  

Forcible  rape 

Robbery 

Aggravated  assault        

Burglary    .. 

Larceny-theft            

13,668 
21,232 
99,267 
186,506 
383,306 
851,980 
112,612 
13,787 

14,833 
28.471 
116,636 
267,817 
342.672 
1,089,672 
117,190 
13,949 

+8.5 
+34.1 
+  17.5 
+43.6 
-10.6 
+  27.9 
+4.1 
+  1.2 

1.301 
3,527 
31.661 
30,887 
198.132 
369,801 
60,514 
7,137 

1.297 
4,316 
26,380 
34.141 
123.037 
347,046 
45,907 
5,619 

-.3 
+22.4 
-16.7 
+  10.5 
-37.9 
-6.2 
-24  1 
-21.3 

12.367 
17.705 
67.606 
155.619 
185,174 
482,179 
52,098 
6,650 

13.536 
24,155 
90,256 
233,676 
219.635 
742,626 
71.283 
8,330 

+9.5 
+36.4 
+33.5 
+  50.2 
+  18i 
+54.C 

320,673 
1,361,685 

427,757 
1,563,483 

+33.4 
+  14.8 

67,376 
635,584 

66.134 
521,609 

-17.9 

253,297 
726,101 

361,623 
1,041,874 

1,682,358 

1,991.240 

+  18.4 

702,960 

587,743 

-164 

979,398 

1.403,497 

328,237 
54,840 

183,816 
5,701 
87,716 

164,327 

107,696 

60,514 

52,017 
477,387 
39,448 
42,261 
944,344 

270,566 
1,047,121 
436,970 
41,570 
1,265,600 
19,582 
75,672 
156,776 

547,846 
70,884 
268,047 
9,678 
105,049 
202,729 
144,996 

92,555 

76,543 
632,225 
24,524 
43,514 
1,313,421 

433,837 
731,771 
519,560 
26,581 
2,097,060 
7,006 
66.757 
127.572 

+66.9 
+29.3 
+45.8 
+69.8 
+  19.8 
+23.4 
+34.6 

+52.9 

+47.1 
+  32.4 
-37.8 
+3.0 
+  39.1 

+60.3 
-30.1 
+  18.9 
-36. 1 
+65.7 
-64.2 
-11.8 
-18.6 

61,726 
7,510 
21,362 
682 
29,076 
99,842 
17,642 

2,572 

9,435 
111.945 
1,425 
2.525 
20,699 

101,355 
42.439 
90,621 
5.028 
263,420 
5,305 
75.672 
156,776 

79,391 
6,587 
17,360 
657 
26,651 
86,674 
23,092 

2,106 

12,512 
62,399 
559 
2,416 
20,147 

117,748 
24,348 
77,446 
2,313 
259,019 
2,519 
66.757 
127,572 

+28.6 
-12.3 
-18.7 
-3.7 
-8.3 
-13.2 
+30.9 

-18.1 

+32.6 
-44.3 

-60.8 

-4.3 
-2.7 

+  16.2 
-42.6 

-14.5 
-54.0 
-1.7 
-52.5 

-18.6 

266,511 
47.330 

162,454 
5,019 
58,640 
64,485 
90.054 

57,942 

42.582 
365,442 
38,023 
39,736 
923,645 

169,211 
1,004,682 
346.349 
36,542 
1,002.180 
14,277 

468,455 
64.297 

250,687 
9.021 
78,398 

116.055 

121,904 

90,449 

64.031 
569,826 
23,965 

41,098 
1.293.274 

707,423 

24,268 

1,838.041 

4.487 

Embezzlement 

Stolen  property;  buying,  receiving,  possessing     ....... 

Vandalism    

Weapons;  carrying,  possessing,  etc. 

+79/ 
+  33.' 
+  80.1 
+35y 

Sex  offenses  (except  forcible  rape  and 

prostitution) 

Drug  abuse  violations 

Gambling  

Offenses  against  family  and  children 
Driving  under  the  influence 

Liquor  laws 

Drunkenness 

+50, 
+55. 
-37. 
+3. 
+40. 

+86. 
-29. 
+27. 

Vagrancy        

All  other  offenses  (except  traffic) 

Curfew  and  loitering  law  violations 

-33. 
+83. 
-68. 

'Violent  crimes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assauli 
2Property  crimes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson 
'Includes  arson. 


Table  28.  — Total  Arrest  Trends,  Sex,  1977-1986 

[8,494  agencies;   1986  estimated  population   180,790,000] 


Male 

Female 

Total 

Under  18 

Total 

Under  18 

,977 

1986 

J£J 

1977 

1986 

change 

1977 

,986 

Pc"Z 

,977 

1986 

Percent 

6,316,223 

7,363,364 

+24.5 

1,430,309 

1,244,307 

-13.0 

1,208,714 

1,663,025 

+37.6 

394,403 

359.190 

-8.9 

Murder  and  ncnnegligent 

11,625 
21,011 
91,737 
162,596 
359,497 
575,771 
103,404 
12,248 

12,984 
28,161 
107,411 
232,382 
315,448 
754,332 
106,059 
12,024 

+  11.7 
+34.0 
+  17.1 
+42.9 
-12.3 
+31.0 
+2.6 

1,175 
3,435 
29,288 
26,291 
186,030 
263,243 
54,968 
6,478 

1,210 
4,243 
24,530 
28,842 
113,703 
254,428 
40,892 
5,068 

+  3.0 
+23.5 
-16.2 

+9.7 
-38.9 

-3.3 
-25.6 
-21.8 

2,043 
221 
7,530 
23,910 
23,809 
276.209 
9,208 
1,539 

1,849 
310 
9,225 
35,435 
27,224 
335,340 
11,131 
1.925 

-9.5 
+40.3 
+22.5 
+48.2 
+  14.3 
+21.4 
+20.9 
+25.1 

126 

92 

2,373 

4.596 

12.102 

106,558 

5,546 

659 

87 
73 
1,850 
5,299 
9,334 
92,618 
5.015 
551 

-31.0 
-20.7 
-22.0 
+  15.3 
-22.9 
-13.1 
-9.6 
-16.4 

Aggravated  assault 

Burglary 

Larceny-theft 

Motor  vehicle  theft 

Violent  crime1 

Property  crime2 

286,969 
1,050,920 

380,938 
1.187,863 

+32.7 
+  13.0 

60.189 
510,719 

58,825 
414,091 

-2.3 
-18.9 

33,704 
310,765 

46.819 
375,620 

+38.9 
+20.9 

7.187 
124.865 

7,309 
107,518 

+  1.7 
-13.9 

1,337,889 

1.568,801 

+  17.3 

570,908 

472,9i6 

-17.2 

344,469 

422,439 

+22.6 

132,052 

1 14,827 

-13.0 

Other  assaults 

Forgery  and  counterfeiting 

Fraud                                

Embezzlement 

Stolen  property;  buying,  receiving, 

282,462 

38,629 

118,366 

4,403 

78,267 
150,338 
99,218 

18,650 

47,945 
410,577 
35.670 
38,163 
863,775 

229,913 
971,196 
365,813 
26,917 
1,071.756 
16,811 
59,789 
66,487 

464,400 

46,817 

152,336 

6,101 

92,880 
181,341 
134,102 

31,953 

70.404 
540,976 
20,216 
37,015 
1,162,713 

361,637 
666,330 
424,211 
23,526 
1,773,800 
5,825 
49,869 
53,936 

+64.4 
+21.2 
+28.7 
+38.6 

+  18.7 
+20.6 
+35.2 

+  71.3 

+46.8 
+31.8 
^43.3 
-3.0 
+34.6 

+57.3 
-31.4 
+  16.0 
-12.6 
+65.5 
-65.4 
-16.6 
-18.9 

48,728 

5,458 

16,965 

534 

26,546 
92,305 
16.529 

848 

8,554 
93,447 
1.332 
1,576 
18,762 

79,334 
36,533 
74,278 

4,093 
207,303 

4,540 
59,789 
66,487 

61,263 

4,440 

13,107 

386 

24,164 
78,825 
21.571 

721 

11,586 

53,455 

520 

1,503 

17,457 

87,426 
20,641 
62,910 

1,893 
205,718 

1,979 
49,869 
53,936 

+25.7 
-18.7 
-22.7 
-27.7 

-9.0 
-14.6 
+30.5 

-15.0 

+35.4 
-42.8 
-61.0 

-7.0 

+  10.2 
-43.5 
-15.3 
-53.8 
-.8 
-56.4 
-16.6 
-18.9 

45,775 
16,211 
65,450 
1,298 

9,449 
13,989 
8,478 

41,864 

4,072 
66,810 
3,778 
4,098 
80,569 

40,653 
75.925 
71,157 
14,653 
193,844 
2,771 
15,883 
90,289 

83,446 

24,067 

115,711 

3,577 

12,169 
21,388 
10,894 

60,602 

6,139 
91,249 
4,308 
6.499 
150,708 

72,200 
65,441 
95.349 
3,055 
323,260 
1,181 
16,888 
73,636 

+82.3 
+48.5 
+76.8 
+  175.6 

+28.8 
+  52.9 
+28.5 

+  50.8 
+36.6 
+  14.0 
+58.6 
+87.1 

+77.6 
-13.8 
+34.0 
-79.2 
+66.8 
-57,4 
+6.3 
-18.4 

12,998 

2,052 

4,397 

148 

2,530 
7,537 
1,113 

1,724 

881 

18,498 

93 

949 

1,937 

22,021 
5,906 
16.343 

935 
56.117 

765 
15,883 
90,289 

18,128 

2.147 

4,253 

271 

2,487 
7,849 
1,521 

1,385 

926 

8.944 

39 

913 
2,690 

30.322 
3,707 
14,536 

420 
53,301 

540 
16,888 
73,636 

+39.5 
+4.6 
-3.3 

+83.1 

+4 

Weapons;  carrying,  possessing,  etc 

Prostitution  and  commercialized  vice 
Sex  offenses  (except  forcible  rape  and 

prostitution) 

Drug  abuse  violations 

Gambling      

Dffenses  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 

+36.7 
-19.7 

+5.1 
-51.6 
-58.1 

-3.8 
+  38.9 

+  37.7 
-37.2 
-11.1 
-55.1 

-5.0 
-29.4 

+6.3 

Table  29.  — Total  Arrest  Trends,  1982-1986 

[8,079  agencies;   1986  estimated  population   169,594,000] 


15,979 
24,733 
121,441 
232,350 
388,151 
994,834 
95,635 
14,803 


TOTAL 

Murder  and  nonnegligent  manslaughter 

Forcible  rape 

Robbery  

Aggravated  assault 

Burglary       

Larceny-theft 

Motor  vehicle  theft 

Arson 

Violent  crime' 

Property  crime2 

Crime  Index  total3 

Other  assaults 

Forgery  and  counterfeiting 

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 


'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. 


of  persons  arrested 


Under  18  years  of  age 


377,136 

524,312 

71,129 

69,300 

232,669 

256,670 

6,781 

9,369 

99,842 

102,344 

171,380 

193,944 

139,406 

144,147 

93,635 

92,247 

58,805 

75,232 

491,496 

638,957 

28,013 

24,378 

36,729 

40,967 

,254,394 

1,243,635 

351,428 

409,267 

938,883 

723,033 

469,105 

493,002 

29,178 

29,081 

,754,729 

2,038,520 

7,814 

6,425 

69,664 

63,423 

96,636 

120,477 

1,328 
3,704 
31,353 
30,847 
154,216 
324,375 
34,381 
5,587 


26,245 
33,757 
119,360 


90,C 
201,503 
233,935 
670,459 

61,254 
9,21 


59,917 

7,019 

17,814 

533 

24,915 
76,514 
19,320 


22,328 

100,642 
30,406 
71,254 
3,201 
278,778 
2,304 
69,664 
96,636 


74,690 

6,389 

17,047 

629 

25,331 
82,038 
22,566 


18,952 

109,775 
24,257 
72,054 
2,164 
248,358 
2,197 
63,423 
120,477 


74,927 
94.866 
120,086 

91,288 

49,304 
425,286 
27,217 
35,382 

1,232.066 


25,977 

1,475,951 

5,510 


13,561 
23,533 
90,352 
234,384 
217,770 
711,126 
71,994 
8,176 


449,622 

62,911 

239,623 

8,740 


90,246 

63,002 
576,619 
23,823 
38,626 

1,224.683 

299,492 
698,776 
420,948 
26,917 
1,790,162 
4,228 


Table  30.  — Total  Arrest  Trends,  Sex,  1982-1986 

[8,079  agencies;   1986  estimated  population   169,594,000] 


Males 

Females 

Total 

Under  18 

Total 

Under  18 

1982 

1986 

X"' 

1982 

!986 

change 

1982 

1986 

Percent 

1982 

1986 

Sang"' 

7,244,900 

7,623,244 

+5.2 

1,222,846 

1,190,876 

-2.6 

1,414,064 

1,604,298 

+13.5 

322,087 

341,080 

Murder  and  nonneghgent  manslaughter 

13,863 

13,006 

-6.2 

1,222 

1,207 

-1.2 

2.116 

1,850 

-12.6 

106 

88 

-17.0 

Forcible  rape 

24,488 

27,489 

+  12.3 

3,645 

4,168 

+  14.3 

245 

265 

+  8.2 

59 

53 

-10.2 

Robbery 

112,493 

107,434 

-4.5 

29,201 

24,410 

-16.4 

8,948 

9,163 

+2.4 

2,152 

1,835 

-14.7 

Aggravated  assault  

202,105 

232,528 

+  15.1 

25,893 

28,598 

+  10.4 

30,245 

35,613 

+  17.7 

4,954 

5,159 

+4.1 

Burglars 

361,798 

309,770 

-14.4 

143,767 

110,151 

-23.4 

26,353 

27,360 

+3.8 

10,449 

9,209 

-11.9 

Larccnv-theft  

698,356 

721,148 

+3.3 

237.590 

241,228 

+  1.5 

296,478 

318.826 

+7.5 

86,785 

87,620 

+  1.0 

+31.6 

12,857 

11,813 

-8.1 

4.896 

4,974 

+  1.6 

1,946 

1,881 

-3.3 

691 

544 

-21.3 

352,949 

380,457 

+7.8 

59,961 

58,383 

-2.6 

41,554 

46,891 

+  12.8 

7.135 

Property  crime2  

1,159,970 

1,148,732 

-1.0 

416,800 

396,562 

4.9 

333,453 

359,157 

+7.7 

101,759 

102,261 

+.5 

1,512,919 

1,529,189 

+  1.1 

476,761 

454,945 

4.6 

375,007 

406,048 

+8.3 

109,030 

109,396 

Other  assaults         

322,197 

444,413 

+37.9 

46,985 

57,682 

+22.8 

54,939 

79,899 

+45.4 

12,932 

17,008 

+31.5 

Forgery  and  counterfeiting              

47,916 

45,953 

4.1 

4,755 

4,299 

-9.6 

23.213 

23,347 

+.6 

2,264 

2,090 

-7.7 

Fraud 

139,288 

146,151 

+4.9 

14.010 

12,891 

-8.0 

93,381 

110,519 

+  18.4 

3,804 

4,156 

+9.3 

Embezzlement           

4,732 

5,989 

+26.6 

392 

385 

-1.8 

2,049 

3,380 

+65.0 

141 

244 

+73.0 

Stolen  property;  buying,  receiving, 

possessing                                       

88,421 

90,802 

+2.7 

22,637 

23,060 

+  1.9 

11,421 

11,542 

+  1.1 

2,278 

2,271 

-.3 

Vandalism 

155,291 

173,351 

+  11.6 

70,183 

74,507 

+6.2 

16,089 

20,593 

+28.0 

6,331 

7,531 

+  19.0 

Weapons,  carrying,  possessing,  etc 

128,863 

133,472 

+3.6 

18,047 

21,127 

+  17.1 

10,543 

10,675 

+  1.3 

1,273 

1,439 

+  13.0 

Prostitution  and  commercialized  vice 

26,392 

31,883 

+20.8 

724 

673 

-7.0 

67,243 

60,364 

-10.2 

1,623 

1,328 

-18.2 

Sex  offenses  (except  forcible  rape  and 

Drug  abuse  violations 

424,253 

546,293 

+28.8 

55,389 

53,418 

-3.6 

67,243 

92,664 

+37.8 

10,821 

8,920 

-17.6 

Gambling 

24,924 

20,091 

-19.4 

754 

522 

-30.8 

3,089 

4,287 

+38.8 

42 

33 

-21.4 

Offenses  against  family  and  children 

32,745 

34,681 

+  5.9 

843 

1,459 

+73.1 

3,984 

6,286 

+57.8 

504 

882 

+75.0 

2,471 

Drunkenness 

859,734 

658,417 

-23.4 

25,990 

20,557 

-20.9 

79,149 

64,616 

-18.4 

4,416 

3,700 

-16.2 

Disorderly  conduct       

396,073 

401,592 

+  1.4 

58,236 

58,707 

+.8 

73,032 

91,410 

+25.2 

13,018 

13,347 

+2.5 

Vagrancy 

25,653 

25,842 

+.7 

2,668 

1,792 

-32.8 

3,525 

3,239 

-8.1 

533 

372 

-30.2 

All  other  offenses  (except  trafTic) 

1,489,525 

1,723,787 

+  15.7 

223.610 

196,886 

-12.0 

265,204 

314,733 

+  18.7 

55,168 

51,472 

-6.7 

Suspicion  (not  included  in  totals) 

6,669 

5,356 

-19.7 

1,859 

1,744 

-6.2 

1,145 

1,069 

-0.6 

445 

453 

+  1.8 

Curfew  and  loitering  law  violations 

54,472 

47,455 

-12.9 

54,472 

47,455 

-12.9 

15,192 

15,968 

+  5.1 

15,192 

15,968 

+5.1 

Runaways 

40,602 

50,785 

+25.1 

40,602 

50,785 

+25.1 

56,034 

69,692 

+24.4 

56,034 

69,692 

+24.4 

'Violent  crimes  are  offenses  of  murder 

forcible  ra 

pe,   robbery 

and  aggrav 

ated  assault 

Property  crimes  are  offenses  of  burgla 

ry,  larceny- 

heft,  motor 

vehicle  the 

ft,  and  arso 

Table  31.  — Total  Arrest  Trends,  1985-1986 

[9,650  agencies;   1986  estimated  population   186,631,000] 


Number  of  persons  arrested 

Offense  charged 

Total  all  ages 

Under  15  years  of  age 

Under  18  years  of  age 

18  years  of  age  and  over 

1985 

1986 

change' 

1985 

1986 

change 

1985 

1986 

cha^e 

1985 

1986 

change' 

9,502,035 

9,944,411 

+4.7 

541,569 

513,923 

-5.1 

1,625,843 

1,672,992 

+2.9 

7,876,192 

8,271,419 

Murder  and  nonnegligent 

manslaughter 

Forcible  rape 
Robbery    .... 
Aggravated  assault 

Burglary 

Larceny- theft 

14,824 
29,603 
113,446 
243,747 
355,859 
1,085,886 
107,768 
15,224 

15,488 
29,850 
120,877 
282,307 
359,010 
1,134,607 
124,364 
14,828 

+4.5 
+.8 
+6.6 
+  15.8 
+.9 
+4.5 
+  15.4 
-2.6 

161 
1,555 
7,357 
10,570 
50,993 
156,057 
10,245 
4,093 

156 
1,470 
6,448 
10,415 
45,069 
149,835 
11,601 
3,704 

-3.1 

-5.5 
-12.4 

-1.5 
-11.6 

^t.O 
+  13.2 

-9.5 

1,243 
4,496 
28,382 
33,895 
135,600 
357,431 
40,768 
6,420 

1,357 
4,645 
27,358 
36,197 
128,901 
363,667 
48.636 
6,045 

+9.2 
+3.3 
-3.6 
+6.8 
-4.9 
+  1.7 
+  19.3 
-5.8 

13,581 
25,107 
85,064 
209,852 
220,259 
728,455 
67,000 
8,804 

14,131 
25,205 
93,519 
246,110 
230,109 
770,940 
75.728 
8,783 

+4.0 

+9.9 
+  17.3 
+4.5 
+5.8 

Arson 

-.2 

Violent  crime1 

Property  crime"1 

401,620 
1,564,737 

448,522 
1,632,809 

+  11.7 
+4.4 

19,643 
221,388 

210^209 

-5.9 
-5.0 

68,016 
540,219 

69,557 
547,249 

+2.3 
+  1.3 

333,604 
1,024,518 

378,965 
1.085,560 

+  13.6 
+6.0 

1,966.357 

2,081,331 

+5.8 

241,031 

228,698 

-5.1 

608,235 

616,806 

+  1.4 

1,358,122 

1,464,525 

510,147 

69,498 

266,574 

9,205 

102,742 
205,012 
145,601 

95.956 

80,913 
653,626 
25.719 
41,505 
1,391,389 

433,812 
781,722 
514,460 
29,116 
1,985,764 
6,314 
63,869 
129,048 

571,816 
73,205 

276,169 
10,032 

109,281 
213,879 
154,537 

94,415 

80,697 
666,132 
24,860 
43,332 
1,390,597 

469,317 
750,887 
532,109 
32,615 
2,167,486 
6,500 
69,721 
131,993 

+  12.1 
+  5.3 
+3.6 
+9.0 

+6.4 
+4.3 
+6.1 

-1.6 

-.3 
+  1.9 
-3.3 

-.1 

+8.2 
-3.9 
+3.4 
+  12.0 
+9.2 
+2.9 
+9.2 
+2.3 

29,052 

1,172 

7,171 

109 

7,351 
48,124 
6,689 

220 

6,249 

12,167 

174 

1,128 

359 

8,808 
2,848 
22,488 
667 
71,942 
991 
18,586 
55,234 

29.249 

1,046 

6,686 

49 

7,216 
43,392 
6,194 

239 

5,877 
9,042 

103 
1,227 

442 

3!l67 

21,538 
501 

67,356 
729 

18,549 

53,672 

+  .7 
-10.8 
-6.8 
-55.0 

-1.8 
-9.8 

-7.4 

+8.6 

-6.0 
-25.7 
^(0.8 

+8.8 
+23.1 

+9.9 
+  11.2 

^t.2 
-24.9 

-6.4 

-26.4 

-.2 

-2.8 

77,025 

7,298 

17,416 

638 

25,755 
92,300 
23,855 

2,211 

13.600 
74,791 
697 
2,237 
18,537 

106,201 
22.316 
73,661 
2,614 
263,539 
2,385 
63,869 
129,048 

82,608 

6,956 

17,545 

679 

27,430 
91,355 
24,376 

2,125 

13,240 
66,024 
595 
2,406 
21,681 

125,269 
25,361 
78.915 
2,439 
265,468 
2,204 
69,721 
131,993 

+7.2 
^t.7 
+.7 
+6.4 

+6.5 
-1.0 

+2.2 

-3.9 

-2.6 
-11.7 
-14.6 

+7.6 
+  17.0 

+  18.0 
+  13.6 
+7.1 
-6.7 
+  .7 
-7.6 
+9.2 
J2.3 

433,122 

62,200 

249,158 

8,567 

76,987 
112,712 
121,746 

93,745 

67,313 
578,835 
25,022 
39,268 
1,372,852 

327,611 
759,406 
440,799 
26,502 
1,722,225 
3,929 

489,208 

66,249 

258,624 

9,353 

81.851 
122,524 
130,161 

92,290 

67.457 
600,108 
24,265 
40,926 
1,368,916 

344,048 
725,526 
453,194 
30,176 
1,902,018 
4,296 

Forgery  and  counterfeiting 

Embez?lcment 

Stolen  property;  buying,  receiving, 

+6.5 
+  3.8 
+9.2 

Weapons;  carrying,  possessing,  etc. 
Prostitution  and  commercialized 

+6.9 
-1.6 

Sex  offenses  (except  forcible  rape 
and  prostitution) 

Drug  abuse  violations   

Gambling 

Offenses  against  family  and  children 

Driving  under  the  influence 

Liquor  laws       

Drunkenness 

+  .2 
+3.7 
-3.0 
+4.2 

-.3 

+5.0 
^t.5 

Vagrancy  ...                    

All  other  offenses  (except  traffic) 
Suspicion  (not  included  in  totals) 
Curfew  and  loitering  law  violations,. 

+  13.9 
+  10.4 
+9.3 

'Violent  crimes  are  offenses  of  m 
Property  crimes  are  offenses  of 
'Includes  arson. 

172 

urder,  forcib 
urglary,   lar 

le  rape,  rob 
-eny-theft.  n 

bery,  and  ag 

gravated  ass 
theft,  and 

ault. 

rable  32.  — Total  Arrest  Trends,  Sex,  1985-1986 

;9,650  agencies;   1986  estimated  population   186,631,000] 


Males 

Females 

Offense  charged 

Total 

Under  18 

Total 

Under  18 

1985 

1986 

cha^e' 

1985 

1986 

change 

1985 

1986 

££ 

1985 

1986 

Chang": 

TOTAL 

7.853,969 

8,213,475 

+4.6 

1,263,237 

1,299,152 

+2.8 

1,648,066 

1,730,936 

+5.0 

362.606 

373,840 

+3.1 

Murder  and  nonnegligent 

manslaughter 

12.995 

13,565 

+4.4 

1,128 

1,265 

+  12.1 

1,829 

1,923 

+  5.1 

115 

92 

-20.0 

"orcible  rape 

29,293 

29,518 

+.8 

4.409 

4,558 

+  3.4 

310 

332 

+7.1 

87 

87 

Jobbery 

104,831 

111.411 

+6.3 

26,445 

25,460 

-3.7 

8,615 

9,466 

1,937 

1,898 

-2.0 

Vggravated  assault 

210,959 

244.938 

+  16.1 

28,641 

30,610 

+6.9 

32,788 

37,369 

+  R0 

5,254 

5,587 

+6.3 

burglary 

328.927 

330,399 

+  .4 

125,654 

119,116 

-5.2 

26,932 

28.611 

+6.2 

9,946 

9,785 

-1.6 

^arceny-theft 

749,678 

785,756 

+4.8 

260,473 

266,600 

+2.4 

336,208 

348.851 

+  3.8 

96,958 

97,067 

vlotor  vehicle  theft 

97.676 

112,620 

+  15.3 

36,141 

43,368 

+20.0 

10,092 

11.744 

+  16.4 

4,627 

5,268 

+  13  9 

Vrson 

13,223 

12.787 

-3.3 

5.813 

5,443 

-6.4 

2,001 

2,041 

+2.0 

607 

602 

-.8 

Violent  crime1 

358,078 

399,432 

+  11.5 

60,623 

61,893 

+2.1 

43,542 

49,090 

+  12.7 

7,393 

7,664 

+3.7 

Property  crime2 

1,189,504 

1,241,562 

+4.4 

428,081 

434,527 

+  1.5 

375,233 

391,247 

+4.3 

112,138 

112,722 

+  .5 

Crime  Index  total3 

1,547,582 

1,640,994 

+6.0 

488.704 

496,420 

+  1.6 

418,775 

440,337 

+5.1 

119,531 

120,386 

+.7 

)ther  assaults 

431,902 

485,028 

+  12.3 

59,270 

63,830 

+7.7 

78,245 

86,788 

+  10.9 

17.755 

18,778 

+  5.8 

^orgery  and  counterfeiting 

46,391 

48.426 

+4.4 

4,971 

4,688 

-5.7 

23,107 

24,779 

+7.2 

2,327 

2,268 

-2.5 

153,243 

156,598 

+2.2 

13,488 

13,238 

-1.9 

113,331 

119,571 

+5.5 

3,928 

4,307 

+9.6 

embezzlement 

5,917 

6.325 

+6.9 

446 

400 

-10.3 

3,288 

3,707 

+  12.7 

192 

279 

+45.3 

tolen  property;  buying,  receiving, 

possessing 

90,670 

96,819 

+6.8 

23,287 

24,899 

+6.9 

12,072 

12,462 

+  3.2 

2,468 

2,531 

+2.6 

Vandalism 

184,821 

191,395 

+  3.6 

84,578 

83,043 

-1.8 

20,191 

22,484 

+  11.4 

7.722 

8,312 

+7.6 

Veapons;  carrying,  possessing,  etc 

134,640 

143,096 

+6.3 

22,260 

22,798 

+2.4 

10,961 

11.441 

+4.4 

1,595 

1,578 

-1.1 

rostitution  and  commercialized 

vice    

29.380 

32,596 

+  10.9 

689 

727 

+  5.5 

66,576 

61,819 

-7.1 

1,522 

1,398 

-8.1 

ex  offenses  (except  forcible  rape  and 

prostitution) 

74.823 

74,200 

-.8 

12,512 

12,279 

-1.9 

6,090 

6,497 

+6.7 

1,088 

961 

-11.7 

)rug  abuse  violations       

563,463 

570,062 

+  1.2 

63,728 

56,587 

-11.2 

90,163 

96,070 

+6.6 

11,063 

9,437 

-14.7 

jambhng 

21.800 

20,529 

-5.8 

665 

556 

-16.4 

3,919 

4,331 

+  10.5 

32 

39 

+21.9 

•ffenses  against  family  and  children 

36,069 

36,664 

+  1.6 

1,433 

1,486 

+3.7 

5,436 

6,668 

+22.7 

804 

920 

+  14.4 

Jnving  under  the  influence 

1.229,758 

1,230,252 

0 

16,058 

18,782 

+  17.0 

161,631 

160,345 

-.8 

2,479 

2,899 

+  16.9 

iquor  laws 

364,306 

390,582 

+7.2 

78,369 

93,055 

+  18.7 

69,506 

78,735 

+  13.3 

27,832 

32,214 

+  15.7 

drunkenness 

712,362 

683,899 

^4.0 

18,692 

21,508 

+  15.1 

69,360 

66,988 

-3.4 

3  624 

3,853 

+6.3 

)lsorderly  conduct 

416,898 

434,403 

+4.2 

59,508 

64,175 

+7.8 

97,562 

97,706 

14,153 

R740 

+4.1 

25,744 

28,735 

+  11.6 

2,140 

2,020 

-5.6 

3,372 

3,880 

+  15J 

474 

419 

-11.6 

Ul  other  offenses  (except  traffic) 

1,681,036 

1,835,172 

+9.2 

209,275 

210,961 

+.8 

304,728 

332,314 

+9.1 

54,264 

54,507 

+  4 

uspicion  (not  included  in  totals) 

5.222 

5,420 

+3.8 

1,830 

1,725 

-5.7 

1,092 

1,080 

555 

479 

-13.7 

Curfew  and  loitenng  lav.  violations 

48,111 

51,954 

+8.0 

48,111 

51,954 

+  8.0 

15,758 

17,767 

+  12.7 

15,758 

17,767 

+  12.7 

.unaways  

55,053 

55.746 

+  1.3 

55,053 

55,746 

+  1.3 

73,995 

76,247 

+3.0 

73,995 

76,247 

+3.0 

Violent  ci 
Property 
'includes  ; 


[10,743  agencies;   1986  estimated 

population 

98,488,000] 

Total 

Ages 

Ages 

Ages 

Age 

Offense  charged 

all 
ages 

under 

18 

18  and 

Under 
10 

10-12 

13-14 

15 

16 

17 

18 

1") 

20 

21 

TOTAL 

10,392,177 

536,609 

1,747,675 

8,644,502 

46,408 

126,809 

363,392 

333,648 

416,663 

460,755 

494,197 

492,884 

481,996 

482,72- 

Percent  distribution1 

100.0 

5.2 

16.8 

83.2 

4 

1.2 

3.5 

3.2 

4.0 

4.4 

4.8 

4.7 

4.6 

4. 

Murder  and  nonnegligent 

manslaughter 

16,066 

156 

1,396 

14.670 

7 

15 

134 

245 

443 

552 

729 

790 

802 

77 

Forcible  rape 

31,128 

1,514 

4,798 

26,330 

77 

297 

1,140 

982 

1,121 

1,181 

1,220 

1,272 

1,344 

1,43 

Robbery 

124,245 

6,615 

27.987 

96,258 

199 

1,244 

5,172 

5,792 

7,334 

8,246 

8,227 

7,791 

7,163 

7.10 

Aggravated  assault  

293,952 

10,816 

37,528 

256,424 

781 

2,517 

7.518 

6,934 

9,251 

10,527 

10,884 

11,268 

12,078 

12,98 

Burglary 

375,544 

47,080 

134,823 

240,721 

4,201 

11,727 

31,152 

27,367 

30,032 

30,344 

28,510 

23,858 

19,717 

17,57 

Larceny-theft               

1,182,099 

156,033 

378,283 

803,816 

15.238 

45,210 

95,585 

70,640 

77,171 

74,439 

66,530 

56,489 

47,888 

44,77 

Motor  vehicle  theft 

128,514 

11,961 

50,319 

78,195 

193 

1,360 

10.408 

12,278 

13,797 

12,283 

9,785 

8,073 

6,611 

5,77 

15,523 

3,837 

6,271 

9,252 

1,028 

1,113 

1.696 

954 

784 

696 

655 

549 

484 

44 

Violent  crime2 

465,391 

19,101 

71,709 

393.682 

1,064 

4,073 

13,964 

13,953 

18.149 

20,506 

21,060 

21,121 

21,387 

22,29 

Percent  distribution ' 

100.0 

15.4 

84.6 

.2 

.9 

3.0 

3.0 

3.9 

4.4 

4.5 

4.5 

4.6 

4. 

Property  crime3 

1,701,680 

218,911 

569,696 

1,131,984 

20,660 

59,410 

138,841 

111,239 

121,784 

1 17,762 

105,480 

88,969 

74,700 

68,56 

Percent  distribution1 

100.0 

12.9 

33.5 

66.5 

1.2 

3.5 

8.2 

6.5 

7.2 

6.9 

6.2 

5.2 

4.4 

4. 

Crime  Index  total4 

2,167,071 

238,012 

641,405 

1,525,666 

21.724 

63,483 

152,805 

125,192 

139,933 

138,268 

126,540 

110,090 

96,087 

90,86 

Percent  distribution ' 

100.0 

11.0 

29.6 

70.4 

1.0 

2.9 

7.1 

5.8 

6.5 

6.4 

5.8 

5.1 

4.4 

4. 

Other  assaults 

593,902 

30,411 

85,905 

507,997 

2,642 

8,040 

19,729 

16.107 

18,678 

20,709 

20,608 

22,521 

24,562 

26,90 

Forgery  and  counterfeiting 

76,546 

1,101 

7,234 

69,312 

39 

206 

856 

1,204 

1,937 

2,992 

3,695 

4,202 

4,210 

4,25 

Fraud  

284,790 

6,722 

17,727 

267,063 

178 

1,398 

5,146 

6,028 

1,958 

3,019 

5,765 

8,287 

10,362 

11,93 

Embezzlement 

10,500 

52 

696 

9,804 

1 

9 

42 

61 

205 

378 

494 

563 

515 

50 

Stolen  property;  buying,  receiving, 

possessing 

114,105 

7,613 

28,739 

85,366 

327 

1,412 

5,874 

5.915 

7,191 

8,020 

8.528 

7,340 

6,447 

5,85 

Vandalism 

223,231 

45,247 

95,479 

127,752 

7,156 

13,872 

24,219 

16,654 

17.145 

16,433 

13,266 

10,853 

9,436 

8,85 

Weapons;  carrying,  possessing. 

etc.            

160,204 

6,394 

25,170 

135,034 

244 

1.172 

4,978 

4,893 

6,317 

7,566 

8,572 

8.141 

7.993 

8,02 

Prostitution  and  commercialized 

vice  

96,882 

247 

2,192 

94,690 

22 

23 

202 

271 

594 

1.080 

2,916 

4,486 

5,210 

6,6; 

Sex  offenses  (except  forcible  rape 

and  prostitution) 

83,934 

6,110 

13,753 

70,181 

558 

1.551 

4,001 

2,611 

2,514 

2,518 

2,517 

2.591 

2,764 

2,8' 

Drug  abuse  violations 

691,882 

9,374 

68,351 

623,531 

187 

959 

8,228 

12,181 

20,008 

26.788 

34,664 

37,041 

37,808 

39,7< 

Gambling  

25,839 

105 

610 

25,229 

5 

13 

87 

128 

142 

235 

366 

376 

507 

6; 

Offenses  against  family  and 

children  

47,327 
1,458,531 

1,255 
456 

2.521 
22,749 

44,806 
1,435,782 

632 
147 

167 
33 

456 
276 

432 
945 

433 
5.957 

401 
15,391 

1,155 
33,816 

1,266 
45.632 

1,461 
53,946 

1.6' 

Driving  under  the  influence 

68.5. 

Liquor  laws 

490,436 

10,163 

132,335 

358,101 

430 

615 

9,118 

19,264 

40,669 

62,239 

73,733 

58,559 

45,566 

19,9* 

Drunkenness         

777,866 

3,283 

26,589 

751,277 

470 

247 

2.566 

4,245 

7.293 

11,768 

20,197 

23,764 

25,791 

32.31 

Disorderly  conduct.     . 

564,882 

22,517 

82,986 

481,896 

1,746 

5,384 

15,387 

14,723 

20,413 

25,333 

29,094 

30.745 

30,975 

32,4! 

Vagrancy 

32,992 

539 

2,550 

30.442 

32 

79 

428 

520 

664 

827 

1,552 

1,597 

1.401 

All  other  offenses  (except 

traffic) 

2,272,589 

70,918 

276,876 

1.995.713 

6,906 

15,289 

48.723 

46,318 

72.400 

87,240 

106,256 

114,469 

116,652 

118.9' 

Suspicion  

7,455 

846 

2,595 

4.860 

98 

172 

576 

617 

600 

532 

463 

361 

303 

2' 

Curfew  and  loitering  law 

violations 

72,627 

19,260 

72,627 

654 

3,199 

15,407 

16,781 

20.333 

16,253 

Runaways 

138,586 

55,984 

138,586 

2.210 

9,486 

44,288 

38,558 

31,279 

12,765 

See  footnotes  at  end  of  table. 


174 


Table  33.  — Total  Arrests,  Distribution  by  Age,  1986  —  Continued 


Age 

Offense  charged 

23 

24 

25-29 

30-34 

35-39 

40^14 

45-49 

50-54 

55-59 

60-64 

"oJS" 

472,524 
4.5 

459,699 
4.4 

441,062 
4.2 

1.863,945 
17.9 

1,285,311 
12.4 

837,662 
8.1 

485,647 

4.7 

304,888 
2.9 

206,910 
2.0 

145,826 
1.4 

96,739 
.9 

Murder  and  nonneghgent 

manslaughter 

750 
1.380 
6.604 
13,185 
15,663 
41.452 
5.123 
443 

731 
1.369 
6,332 
13,296 
14,344 
38,656 
4,670 
453 

672 
1,334 
5,716 
13,166 
12,917 
35,948 
4.092 
464 

3.258 
6,202 
23,035 
58.935 
50,213 
155,965 
15,641 
1,852 

2.183 
4,305 
12,998 
41,701 
29,519 
115,503 
8,916 
1,346 

1,542 
2,812 
6,410 
27,630 
15,244 
75,374 
4,719 
981 

902 
1.502 
2,512 
16,067 
6,559 
40,846 
2,336 
591 

542 

911 

1,119 

9.799 

2.931 

25,760 

1,139 

386 

359 

482 
537 
6,256 
1,630 
18,313 
634 
261 

259 
352 
295 
3.996 
979 
14,556 
335 
159 

147 
211 
207 
2.674 
521 
10,688 
183 
92 

233 

Robbery 

Aggravated  assault 
Burglary 

Motor  vehicle  theft 

209 

2,500 

542 

15,078 

164 

21.919 
4.7 

62,681 
3.7 

21.728 
4.7 

58,123 
3.4 

20,888 

53,421 
3.1 

91,430 

223,671 

13.1 

61,187 

13.1 

155.284 

9.1 

38,394 

8.2 

96,318 

5.7 

20.983 

50,332 
3.0 

12.371 
2.7 

30,216 
1.8 

7.634 

1.6 

20,838 

1.2 

4,902 

1.1 

16,029 

.9 

3,239 

.7 

11,484 

.7 

Percent  distribution1 

.7 

Percent  distribution' 

.9 

Crime  Index  total4 

Percent  distribution1  

84,600 
3.9 

79,851 
3.7 

74.309 
3.4 

315,101 
14.5 

216,471 
10.0 

134,712 
6.2 

71,315 
3.3 

42.587 
2.0 

28,472 
1.3 

20,931 
1.0 

14.723 
.7 

19,017 

Other  assaults 

Forgery  and  counterfeiting 

Embezzlement              

Stolen  property,  buying,  receiving. 

27.957 

4,145 

13,039 

561 

5.194 
7.980 

7.800 

7.241 

3.024 
40,070 

647 

1,893 
72.083 

16,249 
31.635 
30,540 
1.185 

116,420 
261 

28,399 

4,094 

13,263 

555 

4,970 
7,371 

7,469 

7,237 

2,978 

39,369 

741 

1,925 
73,341 

13,621 
31,658 
28,782 
1,280 

112,540 
255 

27,862 

3,923 

13,729 

541 

4,407 
7,034 

6,816 

6.553 

2,973 

38,117 

761 

2,223 
72,882 

11,994 
31,569 
27,049 
1,269 

106,777 
274 

121.141 
16.290 
61,771 
2.140 

17,025 
26,968 

29.355 

26.991 

14.011 

159,240 

3,838 

10.280 
321,068 

41.554 

145,950 

101,530 

5,456 

443.153 
1,083 

83,262 
11,363 
49,527 
1,418 

11,376 
15,954 

19,048 

14,185 

11,113 
98,674 
3,503 

8,991 
230,334 

25.688 
115.618 
64,464 

4,778 

298.913 
631 

52,608 
6,746 

35,373 
1,051 

6,533 
9,089 

12,685 

6,399 

8,499 
53,310 
3,394 

6.590 
162,163 

17,624 
87.775 
39,118 
3.722 

189.870 
401 

29.900 

3,120 

19,932 

637 

3,418 
4,661 

7,244 

2,862 

5,493 
22,125 
2,905 

3,616 
105,562 

11,241 
61,824 
22,574 
2,319 

104.659 
240 

17,299 

1,574 

10,843 

363 

1,805 
2,572 

4.476 

1,459 

3,719 
10,686 
2,287 

71,101 

7,844 
45.091 
14.427 

1,610 

63,185 
112 

10.475 
788 
5,949 
238 

1,046 
1,527 

2,878 

900 

2,483 
5,610 
1,858 

845 
49.221 

5.806 
36,816 
10,083 

1.220 

40.621 
74 

6,488 
446 

3,312 
133 

665 
994 

1,885 

675 

1,998 
3,417 
1,402 

503 
35,395 

3,987 

27,879 

7,714 

798 

27,167 

37 

3.946 

257 

2,132 

61 

418 
573 

1.330 

490 

1,483 
2,066 
991 

253 
22,588 

2,493 

18,072 

6,524 

483 

17,811 
45 

4,065 

202 

1,841 

30 

Weapons;  carrying,  possessing, 

Prostitution  and  commercialized  vice 

Sex  offenses  (except  forcible  rape 

457 

Gambling 

Offenses  against  family  and 

children 

Driving  under  the  influence 

Liquor  laws 

Drunkenness 
Disorderly  conduct 

1,035 

260 
18,115 

2,177 
15,271 
5,818 

All  other  offenses  (except 

traffic)  

Suspicion 

Curfew  and  loitering  law 

18.276 

23 

Runaways           

Because  of  rounding,  the  percentages  may  no!  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 


Table  34.  —  Male  Arrests,  Distribution  by  Age,  1' 
[10,743  agencies;   1986  estimated  population   198,488,000] 


Total 

Ages 

Ages 

Ages 

Age 

Offense  charged 

18  and 

ages 

15 

18 

over 

10 

10-12 

13-14 

15 

16 

17 

18 

19 

20 

21 

TOTAL 

8,586,328 

404,632 

1,356,804 

7,229,524 
84.2 

39,023 

101,299 

264,310 

247,492 

325,388 

379,292 
4.4 

419,130 
4.9 

417,814 
4.9 

407,202 

405,548 

Percent  distribution1 

100.0 

4.7 

15.8 

.5 

1.2 

3.1 

2.9 

3.8 

4.7 

4.7 

Murder  and  nonnegligent 

manslaughter                   

14,083 

147 

1,303 

12,780 

6 

13 

128 

228 

394 

534 

663 

724 

731 

666 

Forcible  rape 

30,780 

1,465 

4,709 

26,071 

73 

283 

1,109 

964 

1,110 

1,170 

1,205 

1.260 

1,337 

1.415 

Robbery 

114,495 

6,050 

26,049 

88,446 

189 

1.157 

4,704 

5,348 

6,880 

7,771 

7,772 

7,325 

6,638 

6,573 

Aggravated  assault 

255,176 

8.915 

31,734 

223,442 

689 

2,161 

6.065 

5,790 

7,836 

9.193 

9,648 

9,962 

10,556 

11,377 

Burglary 

345,886 

42,736 

124,652 

221,234 

3,772 

10,656 

28,308 

25,324 

27,963 

28,629 

26,956 

22,496 

18,537 

16,469 

Larceny-theft                 

819,754 

116,130 

277,561 

542,193 

12,601 

34.560 

68,969 

50,903 

56,161 

54,367 

48,803 

40,565 

33,472 

31,143 

Motor  vehicle  theft 

116,348 

10,241 

44,840 

71.508 

173 

1,183 

8,885 

10,795 

12,465 

11,339 

9,092 

7,514 

6,101 

5,343 

13,397 

3,472 

5,646 

7.751 

953 

1,029 

1,490 

839 

627 

594 

487 

428 

395 

Violent  crime1 

414,534 

16,577 

63.795 

350.739 

957 

3,614 

12,006 

12,330 

16,220 

18,668 

19,288 

19,271 

19,262 

20,031 

Percent  distribution1 

100.0 

4.0 

15.4 

84.6 

.2 

.9 

2.9 

3.0 

3.9 

4.5 

4.7 

4.6 

4.6 

4.8 

Property  crime1 

1,295.385 

172,579 

452,699 

842,686 

17,499 

47,428 

107,652 

87,861 

97,297 

94,962 

85,445 

71,062 

58,538 

53,350 

Percent  distribution1 

100.0 

13.3 

34.9 

65.1 

1.4 

3.7 

8.3 

6.8 

7.5 

7.3 

6.6 

5.5 

4.5 

4.1 

Crime  Index  total4 

1,709,919 

189,156 

516,494 

1,193,425 

18,456 

51,042 

119,658 

100,191 

113.517 

113,630 

104,733 

90,333 

77,800 

73,381 

Percent  distribution1 

100.0 

11.1 

30.2 

69.8 

1.1 

3.0 

7.0 

5.9 

6.6 

6.6 

6.1 

5.3 

4.5 

4.3 

Other  assaults 

503,732 

22,732 

66.371 

437,361 

2,207 

6,327 

14.198 

12,115 

14,618 

16,906 

17,262 

19,040 

20,821 

22,909 

Forgery  and  counterfeiting 

50,612 

729 

4.875 

45,737 

23 

152 

554 

821 

1,312 

2,013 

2,489 

2,784 

2,790 

2.821 

Fraud       

161,523 

5,010 

13,357 

148,166 

125 

1.061 

3.824 

4,631 

1,510 

2,206 

3,634 

4,945 

5,877 

6,805 

Embezzlement 

6,678 

37 

414 

6,264 

9 

28 

44 

119 

214 

279 

300 

291 

285 

Stolen  property;  buying,  receiving, 

possessing  

101,069 

6.917 

26,090 

74,979 

302 

1.305 

5.310 

5,393 

6,477 

7,303 

7,758 

6,667 

5,812 

5,237 

Vandalism 

199,882 

41,224 

86,826 

113,056 

6,642 

12,751 

21,831 

15,019 

15.599 

14,984 

12,237 

9,929 

8,501 

7,933 

Weapons;  carrying,  possessing. 

e,c 

148,372 

5.909 

23,556 

124.816 

228 

1,104 

4,577 

4.580 

5,929 

7,138 

8,133 

7,721 

7,497 

7,489 

Prostitution  and  commercialized 

vice 

33,553 

110 

750 

32,803 

13 

16 

81 

85 

197 

358 

873 

1,157 

1,476 

1,734 

Sex  offenses  (except  forcible  rape 

and  prostitution) 

77,278 

5.615 

12,760 

64,518 

496 

1.405 

3.714 

2,434 

2,333 

2,378 

2,278 

2,302 

2,449 

2,507 

Drug  abuse  violations 

591,806 

7.424 

58,490 

533,316 

161 

733 

6.530 

10.268 

17,308 

23,490 

30,625 

32,433 

32,925 

34,481 

Gambling 

21,390 

96 

570 

20,820 

5 

12 

79 

122 

128 

224 

316 

324 

404 

483 

Offenses  against  family  and 

children 

40,250 

721 

1,569 

38.681 

358 

106 

257 

261 

287 

300 

955 

1,049 

1,201 

1.418 

Driving  under  the  influence 

1,290.900 

365 

19,731 

1,271,169 

122 

30 

213 

787 

5,052 

13,527 

30,040 

40,598 

48,041 

60,684 

Liquor  laws 

407,942 

6,158 

98,295 

309,647 

352 

367 

5,439 

12,629 

30,027 

49,481 

61,428 

50,167 

39,832 

17.543 

Drunkenness 

708,317 

2.406 

22,539 

685,778 

429 

184 

1,793 

3,357 

6,242 

10,534 

18,525 

21,835 

23,794 

29.630 

Disorderly  conduct 

461,975 

17,412 

67,526 

394.449 

1,460 

4,347 

11,605 

11,635 

16,928 

21,551 

24,830 

25,951 

25,805 

26,787 

Vagrancy   

29,052 

439 

2,097 

26.955 

26 

66 

347 

408 

538 

712 

1.326 

1,340 

1,170 

1,120 

All  other  offenses  (except  traffic) 

1,923,173 

53,873 

219,762 

1,703,411 

5,409 

12,375 

36.089 

34,931 

58,006 

72,952 

91,001 

98,622 

100,457 

102.039 

Suspicion             

6,217 

659 

2,044 

4,173 

75 

148 

436 

461 

477 

447 

408 

317 

259 

262 

Curfew  and  loitering  law 

violations 

54,087 

13,829 

54,087 

549 

2,495 

10,785 

12,072 

15,334 

12,852 

Runaways 

58.601 

23,811 

58,601 

1,585 

5,264 

16,962 

15,248 

13,450 

6.092 

See  footnotes  at  end  of  table. 


176 


Table  34.  — Male  Arrests,  Distribution  by  Age,  1986  —  Continued 


Age 

Offense  charged 

65  and 

" 

23 

24 

25-29 

30-34 

35-39 

40-44 

45-49 

50-54 

55-50 

60-64 

TOTAL 

393,165 

380,718 

365,087 

1,539,556 

1,065,227 

701,306 

409,283 

259,072 

178,324 

126,586 

83,496 

78,010 

Percent  distribution' 

4.6 

4.4 

4.3 

17.9 

12.4 

8.2 

4.8 

3.0 

2.1 

1.5 

1.0 

.9 

Murder  and  nonnegligent 

manslaughter 

672 

648 

602 

2.806 

1,876 

1,334 

753 

446 

302 

226 

123 

208 

Forcible  rape 

1,371 

1.355 

1.324 

6,138 

4,245 

2,784 

1.490 

908 

475 

351 

210 

203 

Robbery 

6,112 

5,780 

5,212 

20,847 

11,805 

5,875 

2.312 

1.034 

497 

274 

196 

194 

Aggravated  assault 

11,519 

11.546 

11,409 

50,941 

36,029 

24,050 

14,028 

8,612 

5,519 

3,595 

2.390 

2,261 

Burglary 

14,421 

13,205 

11,800 

45,512 

26,525 

13,659 

5,814 

2,584 

1,436 

875 

460 

485 

Larceny-theft 

27,824 

25,846 

24,108 

103,017 

77,762 

51,456 

26,794 

16,475 

11,242 

8,770 

6,203 

8,713 

Motor  vehicle  theft 

4,709 

4,217 

3,674 

14,097 

8.077 

4,293 

2.131 

1,032 

588 

318 

168 

154 

Arson 

375 

384 

386 

1,538 

1,109 

786 

466 

312 

214 

124 

78 

75 

Violent  crime2 

19,674 

19,329 

18,547 

80.732 

53.955 

34.043 

18,583 

11,000 

6,793 

4,446 

2,919 

2,866 

Percent  distribution 

4.7 

4.7 

4.5 

19.5 

13.0 

8.2 

4.5 

2.7 

1.6 

1.1 

.7 

.7 

Property  crime1       

47,329 

43.652 

39,968 

164,164 

113,473 

70.194 

35.205 

20,403 

13,480 

10.087 

6,909 

9,427 

Percent  distribution1 

3.7 

3.4 

3.1 

12.7 

8.8 

5.4 

2.7 

1.6 

1.0 

.8 

.5 

.7 

Crime  Index  total4 

67,003 

62.981 

58,515 

244,896 

167.428 

104.237 

53  788 

31,403 

20,273 

14,533 

9,828 

12,293 

Percent  distribution1  

3.9 

3.7 

3.4 

14.3 

9.8 

6.1 

3.1 

1.8 

1.2 

.8 

6 

.7 

Other  assaults  

23,805 

24,251 

23,842 

104,641 

72,423 

45.826 

25,873 

15,005 

9,075 

5,664 

3,426 

3,498 

Forgery  and  counterfeiting 

2,667 

2,593 

2,475 

10,506 

7,444 

4,625 

2,143 

1,115 

584 

340 

209 

152 

Fraud 

7,285 

7.214 

7.417 

33,193 

26,198 

19,219 

11,457 

6,285 

3,732 

2,251 

1,464 

1,190 

Embezzlement 

345 

345 

324 

1,351 

974 

713 

445 

256 

187 

104 

36 

29 

Stolen  property;  buying. 

receiving,  possessing 

4,581 

4.353 

3,869 

14,650 

9,707 

5.605 

2,974 

1.596 

930 

590 

360 

290 

Vandalism 

7.065 

6,488 

6,196 

23.544 

13.891 

7,897 

3.981 

2,195 

1,313 

859 

502 

525 

Weapons;  carrying,  possessing. 

7.233 

6,878 

6,249 

26.876 

17.427 

11.618 

4,115 

2,640 

1,760 

1.241 

1,259 

Jrostitulion  and  commercialized 

1.817 

1,914 

1,798 

8,075 

5,344 

3.324 

1,978 

1,181 

798 

574 

385 

375 

Sex  offenses  (except  forcible  rape 

and  prostitution) 

2,607 

2.597 

2.616 

12,418 

10,245 

8,051 

5,312 

3,634 

2,436 

1,961 

1,454 

1,651 

Drug  abuse  violations 

34,385 

33,532 

32,216 

134,243 

83,182 

45,721 

19.116 

9,331 

4,984 

2,980 

1,799 

1,363 

Gambling 

524 

575 

605 

3,106 

2,831 

2,681 

2,366 

1,890 

1,604 

1,245 

898 

968 

Offenses  against  family  and 

children 

1,632 

1.610 

1.901 

8,905 

7,818 

5,763 

3,190 

1,604 

729 

447 

229 

230 

Driving  under  the  influence 

63,719 

64.722 

64,252 

283,319 

203,218 

142,867 

92,834 

62,866 

44,290 

32,273 

20,694 

16,752 

liquor  laws 

14.284 

11.989 

10,596 

36,288 

22,402 

15,463 

9,790 

6,836 

5,160 

3,623 

2,282 

1,964 
14,556 

Drunkenness  

28.761 

28.597 

28.496 

131,222 

104,471 

79,918 

56,628 

41,519 

34,464 

26.205 

17.157 

Disorderly  conduct 

24.649 

22,843 

21,654 

80,211 

52,138 

32.474 

19.085 

12,229 

8,693 

6,591 

5,486 

5,023 

Vagrancy 

992 

1.090 

1.082 

4,729 

4.322 

3,421 

2,148 

1,502 

1.115 

753 

458 

387 

All  other  offenses  (except  traffic) 

99,581 

95,932 

90.754 

376,466 

253,234 

161,543 

89,287 

54,408 

35,253 

23,802 

15.544 

15,488 

Suspicion 

230 

214 

230 

917 

530 

340 

208 

102 

64 

31 

44 

17 

Curfew  and  loitering  lav, 

violations 

lunaways 

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

^Violent  crimes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  ass 
^Property  crimes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and 
'Iru  hides  arson. 


Total 

Ages 

Ages 

Ages 

Age 

Offense  charged 

ages 

under 

18 

'over"" 

Under 

■  CM2 

13-14 

1= 

16 

17 

18 

19 

20 

21 

TOTAL 

1,805,849 

131,977 

390,871 
21.6 

1,414,978 

78.4 

7,385 

25,510 

99,082 

5.5 

86,156 

91,275 
5.1 

81,463 
4.5 

75,067 
4.2 

75,070 
4.2 

74,794 
4.1 

77,176 
4.3 

Percent  distribution' 

100.0 

7.3 

.4 

1.4 

4.8 

Murder  and  nonnegligent 

manslaughter 

1.983 

9 

93 

1,890 

1 

2 

6 

17 

49 

18 

66 

66 

71 

105 

Forcible  rape 

348 

49 

89 

259 

4 

14 

31 

18 

11 

U 

15 

12 

7 

16 

Robbery  

9,750 

565 

1,938 

7.812 

10 

87 

468 

444 

454 

475 

455 

466 

525 

530 

Aggravated  assault 

38,776 

1,901 

5,794 

32,982 

92 

356 

1,453 

1.144 

1,415 

1,334 

1,236 

1.306 

1,522 

1.612 

Burglary 

29,658 

4,344 

10.171 

19,487 

429 

1,071 

2,844 

2,043 

2,069 

1,715 

1,554 

1,362 

1,180 

1.105 

Larceny-theft 

362,345 

39,903 

100,722 

261,623 

2,637 

10,650 

26,616 

19,737 

21,010 

20,072 

17,727 

15.924 

14.416 

13,627 

Motor  vehicle  theft 

12,166 

1,720 

5,479 

6,687 

20 

177 

1,523 

1,483 

1,332 

944 

693 

559 

510 

431 

Arson 

2,126 

365 

625 

1.501 

75 

84 

206 

115 

76 

69 

61 

62 

56 

53 

Violent  cnme; 

50,857 

2,524 

7.914 

42  943 

107 

459 

1,958 

1,623 

1,929 

1838 

1,772 

1,850 

2.125 

2,263 

Percent  distribution1    

100.0 

5.0 

15.6 

84.4 

.2 

.9 

3.9 

3.2 

3.8 

3.6 

3.5 

3.6 

4.2 

4.4 

Property  crime' 

406,295 

46,332 

116,997 

289,298 

3,161 

11,982 

31,189 

23,378 

24,487 

22,800 

20,035 

17.907 

16,162 

15,216 

Percent  distribution1 

100.0 

11.4 

28.8 

71.2 

.8 

2.9 

7.7 

5.8 

6.0 

5.6 

4.9 

4.4 

4.0 

3.7 

Crime  Index  total4 

457,152 

48,856 

124,911 

332,241 

3,268 

12.441 

33,147 

25,001 

26,416 

24,638 

21,807 

19,757 

18,287 

17,479 

Percent  distribution1 

100.0 

10.7 

27.3 

72.7 

.7 

2.7 

7.3 

5.5 

5.8 

5.4 

4.8 

4.3 

4.0 

3.8 

Other  assaults 

90,170 

7,679 

19,534 

70,636 

435 

1,713 

5,531 

3,992 

4,060 

3,803 

3,346 

3,481 

3,741 

3.995 

Forgery  and  counterfeiting 

25,934 

372 

2,359 

23,575 

16 

54 

302 

383 

625 

979 

1.206 

1,418 

1,420 

1,436 

Fraud 

123,267 

1,712 

4.370 

118,897 

53 

337 

1,322 

1,397 

448 

813 

2,131 

3,342 

4,485 

5.133 

Embezzlement 

3,822 

15 

282 

3.540 

1 

14 

17 

86 

164 

215 

263 

224 

219 

Stolen  property,  buying,  receiving, 

possessing 

13,036 

696 

2.649 

10.387 

25 

107 

564 

522 

714 

717 

770 

673 

635 

622 

Vandalism 

23,349 

4,023 

8,653 

14.696 

514 

1,121 

2,388 

1.635 

1,546 

1,449 

1,029 

924 

935 

926 

Weapons;  carrying,  possessing. 

etc. 

11,832 

485 

1,614 

10.218 

16 

68 

401 

313 

388 

428 

439 

420 

496 

531 

Prostitution  and  commercialized 

vice 

63.329 

137 

1,442 

61,887 

9 

7 

121 

186 

397 

722 

2,043 

3,329 

3,734 

4,895 

Sex  offenses  (except  forcible  rape 

and  prostitution) 

6.656 

495 

993 

5,663 

62 

146 

287 

177 

181 

140 

239 

289 

315 

363 

Drug  abuse  violations 

100,076 

1,950 

9,861 

90,215 

26 

226 

1.698 

1,913 

2,700 

3,298 

4.039 

4,608 

4,883 

5,311 

Gambling      

4,449 

9 

40 

4,409 

1 

8 

6 

14 

11 

50 

52 

103 

135 

Offenses  against  family  and 

children 

7,077 

534 

952 

6,125 

274 

61 

199 

171 

146 

101 

200 

217 

260 

279 

Driving  under  the  influence     

167,631 

91 

3,018 

164.613 

25 

3 

63 

158 

905 

1,864 

3,776 

5,034 

5,905 

7.851 

Liquor  laws 

82,494 

4,005 

34.040 

48,454 

78 

248 

3,679 

6,635 

10,642 

12.758 

12,305 

8,392 

5,734 

2.422 

Drunkenness 

69,549 

877 

4.050 

65,499 

41 

63 

773 

888 

1,051 

1.234 

1,672 

1,929 

1,997 

2,737 

Disorderly  conduct 

102,907 

5,105 

15.460 

87,447 

286 

1,037 

3.782 

3,088 

3,485 

3,782 

4,264 

4,794 

5.170 

5,672 

Vagrancy 

3,940 

100 

453 

3,487 

6 

13 

81 

112 

126 

115 

226 

257 

231 

23C 

All  other  offenses  (except  traffic) 

349,416 

17.045 

57,114 

292,302 

1.497 

2,914 

12,634 

11,387 

14,394 

14,288 

15,255 

15,847 

16,195 

16.905 

Suspicion 

1,238 

187 

551 

687 

23 

24 

140 

156 

123 

85 

55 

44 

44 

35 

Curfew  and  loitering  law 

violations 

18.540 

5,431 

18,540 

105 

704 

4,622 

4,709 

4,999 

3,401 

Runaways 

79,985 

32.173 

79,985 

625 

4,222 

27.326 

23,310 

17.829 

6,673 

Sec    iontnnlcs   . 


178 


Table  35.  —  Female  Arrests,  Distribution  by  Age,  1986  —  Continued 


Age 

Offense  charged 

"over" 

22 

23 

24 

25-20 

30-34 

35-39 

40-44 

45-49 

50-54 

55-59 

60-64 

TOTAL 

79,359 

78,981 

75,975 

324,389 

220,084 
12.2 

136,356 

7.6 

76,364 
4.2 

45  816 

28,586 
1.6 

19,240 
1.1 

13,243 

.7 

14,478 

Percent  distribution1 

4.4 

4.2 

18.0 

2.5 

Murder  and  nonnegligent 

manslaughter                  

78 

83 

70 

452 

307 

208 

149 

96 

57 

33 

24 

25 

Forcible  rape                 

9 

492 

552 

10 
504 

2,188 

60 
1,193 

28 
535 

12 
200 

3 
85 

7 
40 

1 

21 

1 

Robbery  . 

15 

Aggravated  assault 

1.666 

1,750 
1,139 

1,757 

7,994 
4,701 

5,672 

3,580 
1,585 

2,039 

1,187 
347 

401 
104 

284 
61 

239 

57 

Burglary 

1.242 

1.117 

2,994 

745 

194 

Larceny-theft 

13,628 

12.810 

11.840 

52,948 

37,741 

23,918 

14.052 

9,285 

7,071 

5,786 

4,485 

6,365 

Motor  vehicle  theft 

414 

453 

418 

1,544 

839 

426 

205 

107 

46 

17 

15 

10 

Arson 

68 

69 

78 

314 

237 

195 

125 

74 

47 

35 

14 

13 

Violent  crime2 

2.245 

2,399 

2.341 

10,698 

7,232 

4.351 

2,400 

1,371 

841 

456 

320 

279 

Percent  distribution' 

4.4 

4.7 

4.6 

21.0 

14.2 

8.6 

4.7 

2.7 

1.7 

.9 

.6 

.5 

Property  crime' 

15.352 

14,471 

13,453 

59,507 

41,811 

26,124 

15,127 

9,813 

7,358 

5,942 

4,575 

6,445 

Percent  distribution1 

3.8 

3.6 

3.3 

14.6 

10.3 

6.4 

3.7 

2.4 

1.8 

1.5 

1.1 

1.6 

Crime  Index  total4 

17,597 

16,870 

15.794 

70,205 

49,043 

30.475 

17,527 

11,184 

8,199 

6,398 

4,895 

6,724 

Percent  distribution' 

3.8 

3.7 

3.5 

15.4 

10.7 

6.7 

3.8 

2.4 

1.8 

1.4 

1.1 

1.5 

Other  assaults         

4,152 

4,148 

4,020 

16,500 

10,839 

6,782 

4,027 

2,294 

1,400 

824 

520 

567 

Forgery  and  counterfeiting 

1,478 

1,501 

1,448 

5,784 

3,919 

2,121 

977 

459 

204 

106 

48 

50 

Fraud 

5.754 

6.049 

6,312 

28,578 

23,329 

16,154 

8,475 

4,558 

2,217 

1,061 

668 

651 

Embezzlement 

216 

210 

217 

789 

444 

338 

192 

107 

51 

29 

25 

1 

Stolen  property;  buying, 

receiving,  possessing 

613 

617 

538 

2,375 

1,669 

928 

444 

209 

116 

75 

58 

45 

Vandalism 

915 

883 

838 

3,424 

2,063 

1.192 

680 

377 

214 

135 

71 

90 

Weapons;  carrying,  possessing. 

etc. 

567 

511 

567 

2,479 

1,621 

1,067 

564 

361 

238 

125 

89 

63 

Prostitution  and  commercialized 

vice                      

5,424 

5,323 

4.755 

18.916 

8,841 

3,075 

884 

278 

102 

101 

105 

82 

Sex  offenses  (except  forcible  rape 

and  prostitution) 

417 

381 

357 

1,593 

868 

448 

181 

85 

47 

37 

29 

14 

Drug  abuse  violations    

5.685 

5,837 

5,901 

24.997 

15,492 

7.589 

3,009 

1,355 

626 

437 

267 

179 

Gambling                ...... 

123 

166 

156 

732 

672 

713 

539 

397 

254 

157 

93 

67 

Offenses  against  family  and 

children 

261 

315 

322 

1,375 

1,173 

827 

426 

244 

116 

56 

24 

30 

Driving  under  the  influence 

8,364 

8,619 

8,630 

37,749 

27,116 

19,296 

12.728 

8,235 

4,931 

3,122 

1,894 

1,363 

Liquor  laws.... 

1.965 

1.632 

1,398 

5,266 

3,286 

2,161 

1.451 

1,008 

646 

364 

211 

213 

Drunkenness 

2,874 

3,061 

3.073 

14,728 

11,147 

7,857 

5,196 

3,572 

2,352 

1.674 

915 

715 

Disorderly  conduct 

5,891 

5,939 

5,395 

21,319 

12,326 

6,644 

3,489 

2,198 

1,390 

1,123 

1,038 

795 

Vagrancy                      

193 

190 

187 

727 

456 

301 

171 

108 

105 

45 

25 

35 

All  other  offenses  (except  traffic) 

16,839 

16,608 

16.023 

66,687 

45,679 

28.327 

15,372 

8,777 

5,368 

3,365 

2,267 

2,788 

Suspicion 

31 

41 

44 

166 

101 

61 

32 

10 

10 

6 

1 

6 

Curfew  and  loitering  law 

violations  

Runaways                     

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  arsor 
'Includes  arson. 


Table  36.  —  Total  Arrests  of  Persons 

[10,743  agencies;   1986  estimated  population 


IS,  18,  21  and  25  Years  of  Age,  1986 
8,000] 


Total 
all 
ages 

Number  of  persons  arrested 

Percent  of  total  all  ages 

Offense  charged 

Under  15 

Under  18 

Under  21 

Under  25 

Under 
15 

Under 

18 

Under 
21 

Under 

25 

10,392,177 

536,609 

1,747,675 

3,216,752 

5,072,761 

5.2 

16.8 

31.0 

16,066 
31,128 
124,245 
293,952 
375.544 
1,182,099 
128,514 
15,523 

156 
1,514 
6,615 
10,816 
47,080 
156,033 
11,961 
3,837 

1,396 
4,798 
27,987 
37,528 
134,823 
378,283 
50,319 
6,271 

3,717 
8,634 
51,168 
71,758 
206,908 
549,190 
74,788 
7,959 

6,641 
14.148 
76,923 
124,394 
267,406 
710,016 
94,447 
9,767 

1.0 
4.9 
5.3 
3.7 
12.5 
13.2 
9.3 
24.7 

8.7 
15.4 
22.5 
12.8 
35.9 
32.0 
39.2 
40.4 

23.1 
27.7 
41.2 
24.4 
55.1 
46.5 
58.2 
51.3 

Robbery 

61.9 

465,391 
1,701,680 

19,101 
218,911 

71,709 
569,696 

135,277 
838,845 

222,106 
1,081,636 

4.1 
12.9 

15.4 
33.5 

29.1 
49.3 

2,167,071 

238,012 

641,405 

974,122 

1,303,742 

11.0 

29.6 

45.0 

593,902 
76.546 
284,790 
10.500 
114.105 
223,231 
160,204 

96,882 
83,934 
691,882 
25.839 
47,327 
1,458,531 

490,436 
777,866 
564,882 
32,992 
2,272,589 
7,455 
72,627 
138,586 

30,411 
1,101 
6,722 
52 
7,613 

45,247 
6,394 

247 
6,110 
9.374 

105 
1,255 

456 

10,163 
3,283 
22,517 

539 
70,918 

846 
19,260 
55,984 

85,905 
7,234 
17,727 
696 
28,739 
95,479 
25,170 

2,192 

13,753 

68,351 

610 

2,521 
22,749 

132,335 
26,589 
82,986 
2,550 
276,876 
2,595 
72,627 
138,586 

153,596 
19,341 
42,141 
2,268 
51,054 

129,034 
49,876 

14,804 
21,625 
177,864 
1,859 
6,403 
156,143 

310,193 
96,341 
173,800 
7,100 
614,253 
3,722 
72,627 
138,586 

264.718 
35,760 
94,110 
4,429 
71,484 

160,278 
79,981 

42,464 
33,470 

335,212 
4,626 
14,141 

442,984 

372,022 
223.570 
292,630 
12,184 
1,068,934 
4,809 
72,627 
138,586 

5.1 
1.4 
2.4 
.5 
6.7 
20.3 
4.0 

.3 

7.3 
1.4 

2.7 
C) 

.4 
4.0 

3.1 
11.3 
26.5 
40.4 

14.5 
9.5 
6.2 
6.6 
25.2 
42.8 
15.7 

2.3 
16.4 

2.4 
5.3 
1.6 

27.0 
3.4 
14.7 
7.7 
12.2 
34.8 
100.0 
100.0 

25.9 
25.3 
14.8 
21.6 
44.7 
57.8 
31.1 

15.3 
25.8 
25.7 
7.2 
13.5 
10.7 

63.2 
12.4 
30.8 
21.5 
27.0 
49.9 
100.0 
100.0 

Embezzlement    ....                                                

42.2 
62.6 

Prostitution  and  commercialized  vice 

Sex  offenses  (except  forcible  rape  and  prostitution) 

43.8 
39.9 
48.4 
17.9 
29.9 
30.4 

75.9 
28.7 
51.8 
36.9 
47.C 
64.5 
100.C 
100.C 

Drunkenness 

Curfew  and  loitering  law  violations 

Runaways 

'Violent  crimes  are  offenses  of  murder,  forcible  rape,  rob 
Property  crimes  are  offenses  of  burglary,  larceny-theft,  m 
'includes  arson, 
4Less  than  one-tenth  of  1  percent. 

180 

ery,  and  aggrav 
otor  vehicle  the 

ited  assault, 
t,  and  arson. 

able  37.  — Total  Arrests,  Distribution  by  Sex,  1986 

10,743  agencies-    1986  estimated  population    198,488,000] 


Offense  charged 

Number  of  persons  arrested 

Percent 

Percent 
female 

Percent  distribution1 

Total 

Male 

Female 

Total 

Male 

Female 

10,392,177 

8,586,328 

1,805,849 

82.6 

17.4 

100.0 

100.0 

urder  and  nonnegligent  manslaughter           

orcihle  rape 

16,066 
31,128 
124,245 
293,952 
375,544 
1,182,099 
128,514 
15,523 

14,083 
30,780 
1 14.495 
255,176 
345,886 
819,754 
116.348 
13,397 

1,983 
348 
9,750 
38,776 
29,658 
362,345 
12,166 
2.126 

87.7 
98.9 
92.2 
86.8 
92.1 
69.3 
90.5 
86.3 

12.3 
1.1 
7.8 

13.2 
7.9 

30.7 
9.5 

13.7 

.2 
.3 
1.2 
2.8 
3.6 
11.4 
1.2 
.1 

.2 

1.3 
3.0 
4.0 
9.5 
1.4 
.2 

(2) 

465,391 
1,701,680 

414,534 
1,295,385 

50,857 
406,295 

89.1 
76.1 

10.9 
23.9 

4.5 
16.4 

4.8 
15.1 

Cnme  Index  total5 

2,167.071 

1,709,919 

457.152 

78.9 

21.1 

20.9 

19.9 

25.3 

593.902 
76,546 
284,790 
10,500 
114,105 
223,231 
160,204 

96,882 
83,934 
691,882 
25,839 
47,327 
1,458,531 

490,436 
777,866 
564.882 
32,992 
2,272,589 
7,455 
72,627 
138,586 

503,732 
50,612 
161,523 
6,678 
101,069 
199,882 
148.372 

33.553 
77,278 
591,806 
21,390 
40,250 
1,290,900 

407.942 
708.317 
461,975 
29,052 
1,923,173 
6,217 
54,087 
58,601 

90.170 
25.934 
123.267 
3,822 
13.036 
23,349 
11,832 

63.329 
6,656 

100,076 
4.449 
7.077 

167,631 

82,494 
69,549 
102,907 
3,940 
349,416 
1,238 
18,540 
79,985 

84.8 
66.1 
56.7 
63.6 
88.6 
89.5 
92.6 

34.6 
92.1 
85.5 
82.8 
85.0 
88.5 

83.2 
91.1 
81.8 
88.1 
84.6 
83.4 
74.5 
42.3 

15.2 
33.9 
43.3 
36.4 
11.4 
10.5 
7.4 

65.4 

14.5 
17.2 
15.0 
11.5 

16.8 
8.9 
18.2 
11.9 

15.4 
16.6 
25.5 
57.7 

5.7 
.7 
2.7 
.1 
1.1 
2.1 
1.5 

.9 
.8 

6.7 

.2 

.5 

14.0 

4.7 
7.5 
5.4 
.3 
21.9 

.7 
1.3 

5.9 
.6 
1.9 
.1 
1.2 
2.3 
1.7 

.9 
6.9 
.2 
.5 
15.0 

4.8 
8.2 
5.4 
.3 

22.4 

.6 

.7 

eapons;  carrying,  possessing,  etc. 

rostitution  and  commercialized  vice 

x  offenses  (except  forcible  rape  and  prostitution) 

rug  abuse  violations 

ambling  

Tenses  against  family  and  children    

riving  under  the  influence 

.7 

3.5 
.4 

5.5 
.2 
.4 

9.3 

urfew  and  loitering  law  violations 

1.0 

Because  of 
2Less  than  o 
'Violent  cnrr 
"Property  en 
■Includes  ars 


unding.  the  percentages  may  not  add  to  total. 

-tenth  of  1   percent 

,  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  ass 

es  are  offenses  of  burglary,   larceny-theft,  motor  vehicle  theft,  and  ; 


181 


Table  38. —  Total  Arrests,  Distribution  by  Race,  1986 

[10,699  agencies;   1986  estimated  population   197,663,000] 


Total  arrests 

Percent  distribution1 

Offense  charged 

Total 

White 

Black 

American 

Alaskan 
Native 

Pacific 
Islander 

Total 

White 

Black 

American 

Native 

Asian 

or 
Pacific 
Islander 

10,335,942 

7,370,777 

2,788,934 

106,926 

69,305 

100.0 

71.3 

27.0 

1.0 

Murder  and  nonnegligent  manslaughter 

Forcible  rape                                        

Robbery                                            

Aggravated  assault                           

Burglary 

15,953 
30,777 
123,649 
293,121 
374,081 
1,179,482 
127,749 
15,440 

8,028 
16,012 
45,746 
172.220 
258,326 
799,908 
81.196 
11,651 

7,659 
14,357 
76,678 
116,700 
110,482 
354,489 
44,317 
3,640 

146 

240 

578 

2,498 

2,879 

13,184 

1,128 

77 

120 

168 

647 

1,703 

2,394 

11,901 

1,108 

72 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

50.3 
52.0 
37.0 
58.8 
69.1 
67.8 
63.6 
75.5 

48.0 
46.6 
62.0 
39.8 
29.5 
30.1 
34.7 
23.6 

1 

9 
8 

5 
9 

s 

5 

VI         rime2 

463,500 
1,696,752 

242,006 
1,151,081 

215.394 
512,928 

3.462 
17,268 

2,638 

15,475 

100.0 
100.0 

52.2 
67.8 

46.5 
30.2 

.7 
1.0 

2,160,252 

1,393,087 

728,322 

20,730 

18,113 

100.0 

64.5 

33.7 

1.0 

Other  assaults  

591,372 
76,442 
284,903 
10,495 
113,430 
222,615 
159,391 

96,564 
83,736 
688.815 
25,385 
46,071 
1,440,862 

487,930 
772,861 
560,888 
32,974 
2,262,963 
7,444 
72,088 
138,461 

388,404 
50,731 

188,700 
7,356 
69,838 

174,663 

102,744 

57,836 
65,368 
463,457 
12,879 
30,455 
1,277,912 

427,626 
616,200 
380,682 
22,048 
1,463,752 
5,663 
54,717 
116,659 

193,386 
24,906 
93,968 

3,023 
42,423 
44,330 
54,767 

37,440 
17,095 

219,159 
11,701 
14,892 

139,596 

47,798 
137,043 
172,301 
9,700 
761.114 
1,706 
15,769 
18.495 

5,683 
411 

1,192 
41 
632 

2,065 
769 

462 
796 
2,930 
13 
513 
15,189 

9,708 
17,959 
6,200 
1,038 
18,629 
46 
535 
1,385 

3,899 
394 

1,043 
75 
537 

1,557 

1,111 

826 
477 

3,269 
792 
211 

8,165 

2,798 
1,659 
1,705 
188 
19,468 
29 
1,067 
1,922 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

65.7 
66.4 
66.2 
70.1 
61.6 
78.5 
64.5 

59.9 
78.1 
67.3 
50.7 
661 
88.7 

87.6 
79.7 
67.9 
66.9 
64.7 
76.1 
75.9 
84.3 

32.7 
32.6 
33.0 
28.8 
37.4 
19.9 
34.4 

38.8 
20.4 
31.8 
46.1 
32.3 
9.7 

9.8 
17.7 
30.7 
29.4 
33.6 
22.9 
21.9 
13.4 

1.0 
.5 
.4 
.4 
.6 
.9 
.5 

.5 
1.0 
.4 

1.1 
1.1 

2.0 
2.3 

3.1 
.8 

.7 

Embezzlement 

Sex  offenses  (except  forcible  rape  and  prostitution) 

Gambling     

3 

Disorderly  conduct 

Vagrancy        

■t  mites  at  end  of  table. 


182 


ble  38.  — Total  Arrests,  Distribution  by  Race,  1986  —  Continued 


Arrests  under   18 

Percent  distribution' 

Offense  charged 

Total 

White 

Black 

American 
Indian 

Alaskan 
Native 

Asian 

Pacific 
Islander 

Total 

White 

Black 

American 
Indian 

Alaskan 
Native 

Asian 

Pacific 
Islander 

1,742,300 

1,302,881 

405,771 

14,570 

19,078 

100.0 

74.8 

23.3 

.8 

1,395 
4,716 
27,834 
37,406 
134,294 
377,645 
49,888 
6,248 

689 
2,167 
9,165 
21.134 
101,626 
270,764 
32,513 
5,286 

671 
2,495 
18,347 
15,717 
30,341 
97,356 
16,195 

894 

13 
27 
93 
272 
1,066 
4,270 
542 
36 

22 
27 
229 
283 
1,261 
5,255 
638 
32 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

49.4 
45.9 
32.9 
56.5 
75.7 
71.7 
65.2 
84.6 

52.9 
65.9 
42.0 
22.6 
25.8 
32.5 
14.3 

.9 

.3 
.7 
.8 

.6 

»ravated  assault 

elarv 

.5 

VI 

71.351 
568,075 

33,155 
410,189 

37,230 
144,786 

405 
5,914 

561 
7,186 

100,0 
100,0 

46.5 
72.2 

52.2 
25.5 

.6 
1.0 

639,426 

443,344 

182,016 

6,319 

7,747 

100.0 

69.3 

28.5 

1.0 

assaults 

85,703 
7,229 
17,721 
695 
28,669 
95,267 
25,104 

2,187 

13.741 

67,455 

610 

2.518 
22,580 

132,059 
26,517 
82,850 
2,545 
276,280 
2.595 
72,088 
138,461 

55,952 
5,997 
8,862 
516 
18,179 
79,306 
17,184 

1,361 

10,101 

48,662 

198 

1,838 
21.659 

126,089 

24,326 
61,318 
2,188 
202,306 
2,119 
54,717 
116,659 

28,024 
1,135 
8,563 
176 
10,112 
14,379 
7.543 

780 
3.459 
17,936 
355 
658 
598 

3,789 
1.729 
20,751 
318 
68,737 
449 
15,769 
18,495 

662 
46 

1 

153 
694 
115 

19 
85 
274 

7 

1,536 
401 
477 
19 
1,546 
14 
535 
1,385 

1,065 
51 
252 
2 
225 
888 
262 

27 
96 
583 
57 
15 
85 

645 

61 

304 

20 

3,691 

13 

1,067 

1,922 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

65.3 
83.0 
50.0 
74.2 
63.4 
83.2 
68.5 

62.2 
73.5 
72.1 
32.5 
73.0 
95.9 

95.5 
91.7 
74.0 
86.0 
73.2 

75.9 
84.3 

32.7 
15.7 
48.3 
25.3 
35.3 
15.1 
30.0 

35.7 
25.2 
26.6 
58.2 
26.1 
2.6 

2.9 
6.5 
25.0 
12.5 
24.9 
17.3 
21.9 
13.4 

.8 
.6 

.2 
.1 
.5 
.7 
.5 

.9 
.6 

gery  and  counterfeiting 

ud 

bezzlement 

en  property;  buying,  receiving,  possessing 

dalism 

apons;  carrying,  possessing,  etc 

stitution  and  commercialized  vice  

offenses  (except  forcible  rape  and  prostitution) 

g  abuse  violations 

nbling 

.7 
1.4 
.3 
.8 
.9 
1.0 

1.2 
.7 
.9 

.3 
1.1 

1.2 
1.5 
.6 
.7 
.6 
.5 
.7 
1.0 

See  footnotes  at  end  of  table, 


Table  38. —  Total  Arrests,  Distribution  by  Race,  1986  —  Continued 


Arrests  18  and  over 


Percent  distribution 


Offense  charged 


Murder  and  nonneghgent 
Forcible  rape 
Robbery 

Aggravated  assault 

Burglary 

Larceny-theft 

Motor  vehicle  theft 

Arson 


14,558 
26.061 
95,815 
255,715 
239,787 
801,837 
77.861 
9,192 


7,339 
13,845 
36,581 
151,086 
156,700 
529,144 
48,683 
6,365 


11,862 

58,331 
100,983 

80,141 
257,133 

28,122 
2,746 


485 
2,226 


Violent  crime2 
Property  crane- 


Other  assaults 

Forgery  and  counterfeiting 

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  loilenng  law  violations 
Runaways 


505,669 
69,213 

267,182 
9,800 
84,761 

127,348 

134,287 


24,775 

43.553 

1,418,282 

355.871 
746.344 
478,038 
30.429 


332.452 
44,734 

179,838 
6,840 
51,659 
95,357 
85,560 


56,475 
55,267 
414,795 
12,681 
28,617 
1,256,253 

301,537 
591,874 
31 
19,860 


261,' 


165,362 
23,771 
85,405 
2,847 
32,31 
29,951 
47,224 

36,660 
13,636 

201,223 


44.009 
135,314 
151,550 
9,382 
692,377 
1,257 


8,172 
17,558 
5,723 
1.019 
17,083 
32 


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

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


39.  — Total  Arrests,  Distribution  by  Ethnic  Origin,  1986 

agencies;   1986  estimated  population   176,840,000] 


Total  all  ages 

Offense  charged 

Number  of  arTests 

Percent  distribution 

Total 

Hispanic 

Non- 
Hispanic 

Total 

Hispanic 

Non- 
Hispanic 

TOTAL 

9,222,574 

1,172,609 

8,049,965 

100.0 

12.7 

87.3 

rder  and  nonnegligent  manslaughter 

13,86 

2,182 

11,679 

100.0 

15.7 

cible  rape      

26,502 

3,054 

23,448 

100.0 

11.5 

88.5 

'bery                                                                                        

107,437 

14.987 

92,450 

100.0 

13.9 

iravated  assault 

253.795 

38,759 

215.036 

100.0 

15.3 

84.7 

glary 

322,847 

47,466 

275,381 

100.0 

14.7 

85.3 

ceny-theft 

1,028,86* 

123,821 

905,043 

100.0 

12.0 

tor  vehicle  theft               ...... 

113,642 

18,472 

95,170 

100.0 

16.3 

83.7 

on 

13,674 

1,068 

12,606 

100.0 

7.8 

92.2 

Violent  crime1  

401,595 

58,982 

342,613 

100.0 

14.7 

Property  crane2 

1.479,027 

190,827 

1,288,200 

100.0 

12.9 

87.1 

1,880,622 

249,809 

1,630.813 

100.0 

13.3 

86.7 

er  assaults 

538,228 

50,477 

487,751 

100.0 

9.4 

gery  and  counterfeiting 

68.348 

4,612 

63,736 

100.0 

6.7 

93.3 

259,373 

10,375 

248,998 

100.0 

jezzlement 

9,805 

514 

9,291 

100.0 

5.2 

94.8 

en  property,  buying,  receiving,  possessing 

102,028 

14,733 

87,295 

100.0 

dalism                              

206,864 

17,644 

189,220 

100.0 

8.5 

91.5 

pons;  carrying,  possessing,  etc 

138,869 

21,043 

117,826 

100.0 

15.2 

84.8 

titution  and  commercialized  vice 

84,824 

8,530 

76,294 

100.0 

offenses  (except  forcible  rape  and  prostitution) 

74,569 

8,582 

65,987 

100.0 

g  abuse  violations 

611,414 

121,422 

489,992 

100.0 

19.9 

80.1 

lbhng  

22,273 

5,519 

16,754 

100.0 

24.8 

nses  against  family  and  children 

40,206 

2,052 

38,154 

ing  under  the  influence 

1,313,726 

186,220 

1,127,506 

100.0 

14.2 

85.8 

or  laws 

451,620 

39.564 

412,056 

100.0 

8.8 

91.2 

nkenness 

711.143 

142,129 

569,014 

100.0 

20.0 

rderly  conduct 

503,152 

455,277 

26,183 

1,757,047 

6,287 

100.0 
100.0 
100.0 
100.0 

9.5 
14.9 
11.1 
10.2 

90.5 
85.1 

ancy 

4,585 
219,622 

715 

1,976,669 

7,002 

icion   

ew  and  loitering  law  violations 

65,663 

5,649 

60,014 

100.0 

8.6 

91.4 

aways 

125,408 

10,938 

114,470 

100.0 

8.7 

91.3 

185 


Table  39.  — Total  Arrests,  Distribution  by  Ethnic  Origin,  1986  —  Continued 


Offense  charged 


Non- 
Hispanic 


Percent  distribution 


TOTAL 

Murder  and  nonnegligent  manslaughter 

Forcible  rape   

Robbery 
Aggravated  assault 

Burglary     

Larceny-theft. 

Motor  vehicle  theft  

Arson 

Violent  crime1  

Property  crime2  

Crime  Index  total' 

Other  assaults  

Forgery  and  counterfeiting  

Fraud 

Embezzlement 

Stolen  property;  buying,  receiving,  possessing 

Vandalism  

Weapons;  carrying,  possessing,  etc 

Prostitution  and  commercialized  vice 

Sex  offenses  (except  forcible  rape  and  prostitution) 

Drug  abuse  violations 

Gambling 

Offenses  against  family  and  children 

Driving  under  the  influence   

Liquor  laws 

Drunkenness 

Disorderly  conduct 

Vagrancy  

All  other  offenses  {except  traffic) 

Suspicion 

Curfew  and  loitering  law  violations 

Runaways 

See  footnotes  at  end  of  table. 


1,237 
3,959 
24,916 
31,794 
115,892 
331,852 
44,316 
5,723 


123,949 
24,' 
76,446 
2,378 
244.669 
2,390 
65,663 
125,408 


379 

3.580 

3,626 

21,290 

4,697 

27,097 

16,074 

99,818 

35.908 

295,944 

6,324 

37,992 

463 

5,260 

8,972 

52,934 

58,769 

439,014 

.1750 

22,264 

8,013 

80,414 

3,978 

18,632 

163 

1,718 

1,364 

11,188 

11,620 

49,755 

54 

463 

217 

2,182 

2,564 

18,395 

7,212 

116,737 

6,215 

18,273 

8,473 

67,973 

277 

2,101 

32,716 

211,953 

240 

2.15C 

5,649 

60,014 

10,938 

1 14,470 

100.0 
100.0 
100.0 
100.C 


100.0 
100.0 
100.0 
100.0 


able  39.  —  Total  Arrests,  Distribution  by  Ethnic  Origin,   1986  —  Continued 


18  years  of  age  and 


Percent  distributic 


urder  and  nonnegligent  manslaughter 
ircible  rape 

ibbery  

jgravated  assault 

irglary 

irceny-thefl 

otor  vehicle  thefl 


Violent  ci 
Propeny 


ibezzlement      

lien  properly,  buying,  receiving,  possessing 

ndalism  

sapons;  carrying,  possessing,  etc. 

Mtitution  and  commercialized  vice 

(  offenses  (except  forcible  rape  and  prostitut 

ug  abuse  violations  

imblmg 

fenses  against  family  and  children 

iving  under  the  influence 

juor  laws 

unkenness    

sorderly  conduct  

grancy 

1  other  offenses  (except  traffic) 

micion 

rfew  and  loilenng  law  violations 

inaways 


12.624 
22,543 
82,521 
222.001 
206,955 
697,012 
69,326 
7.951 


82,943 
62,017 
550,039 
21,756 
37,807 
1,292.767 

327,671 
686,655 
426,706 
28,390 
1.732,000 
4,612 


34.062 
31,392 
87,913 


8,367 
7,218 
109,802 
5,465 
1,835 


32,352 
135,914 
39,402 


187.939 
175,563 
609,099 
57,178 
7,346 


419,216 
57,555 

235,476 
8,727 
65,031 

108,806 
99,194 

74.576 
54,799 

440,237 
16,291 
35.972 

,109,111 

295,319 
550,741 

387.304 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


Violent  ci 
Includes 


aggravated  assault. 


Table  40.  —  City  Arrest  Trends,  1985-1986 

[6,522  agencies;   1986  estimated  population  128,359,000] 


TOTAL 

Murder  and  nonneghgent  tnanslaughti 
Forcible  rape    .  

Robbery 

Aggravated  assault      

Burglary 

Larceny-theft 

Motor  vehicle  theft 


Crime  Index  total 


Oilier  assaults  

Forgery  and  counterfeiting 

Fraud 

Embezzlement 

Stolen  property;  buying,  receiving,  possessing 

Vandalism 

Weapons;  carrying,  possessing,  etc 

Prostitution  and  commercialized  vice 

Sen  offenses  (except  forcible  rape  and  prostiti 

Drug  abuse  violations   

Gambling 

Offenses  against  family  and  children 
Driving  under  the  influence 

Liquor  laws    ....... 

Drunkenness 
Disorderly  conduct 

All  other  offenses  texcepl  traffic) 

Suspicion  (not  included  in  totals) 

Curfew  and  loitering  law  violations 

Runaways 


10,903 
22,528 
97,867 
183,301 
265,125 
920,485 
83,660 
11,304 


11,523 
22,689 
104,554 
215,309 
266,105 
961,149 
97,315 
10,859 


392,466 

442,602 

52.362 

54,600 

146,125 

149,071 

5,805 

6,154 

82,709 

87,922 

165,262 

172,943 

118,474 

125.808 

90,910 

88,909 

60,788 

60.824 

514.829 

530,558 

21,703 

20,829 

19,086 

21,431 

864.510 

864,293 

354,260 

379,647 

666,302 

636,912 

463,405 

477,459 

27,559 

30,971 

540,994 

1,692,878 

5,579 

5,597 

61,817 

67,581 

100,445 

104,227 

Less  than  one-t 


Number  of  persons  arrested 


Under  18  years  of  age 


Percent 
change 


Percent 
change 


27,490 
103,284 
311,824 


1,118 
3,738 
24,872 
29,536 
96,945 
315,489 
38,853 
4,674 


9,900 

10,405 

18,901 

18,951 

72,177 

79,682 

155,811 

185,773 

161.841 

169,160 

608,661 

645,660 

51,457 

58,462 

6,282 

6,185 

256,789 

294,811 

828,241 

879,467 

64,175 

68,496 

5,890 

5,520 

16,222 

16.307 

490 

532 

21,998 

23.621 

75.713 

74,760 

20,705 

21.171 

2,116 

2,029 

10,413 

10.142 

62,380 

55,233 

622 

518 

1,879 

2,113 

12,335 

14,601 

85,798 

101.326 

19,334 

22,104 

67,717 

72.045 

2,277 

2,064 

225,539 

225,457 

2.188 

1,925 

61,817 

67,581 

100,445 

104,227 

328,291 

374,106 

46,472 

49,080 

129,903 

132,764 

5,315 

5,622 

60,711 

64,301 

89,549 

98,183 

97,769 

104.637 

88,794 

86,880 

50,375 

50,682 

452,449 

475,325 

21,081 

20,311 

17,207 

19,318 

852,175 

849,692 

268,462 

278,321 

646.968 

614,808 

395.688 

405,414 

25,282 

28,907 

315,455 

1.467,421 

3.391 

3,672 

ible  41.  — City  Arrest  Trends,  Sex,  1985-1986 

522  agencies;   1986  estimated  population  128,359,000] 


Males 

Females 

Total 

Under  18 

Total 

Under  18 

1985 

1986 

Percent 

1985 

1986 

Percent 
change 

1985 

1986 

Percent 
change 

1985 

1986 

Percent 

change 

6,044,558 

6,341,263 

+4.9 

1,060,955 

1,088,461 

+2.6 

1,300,426 

1,363,859 

+4.9 

307,053 

316,611 

+3.1 

lrder  and  nonnegligent 

9,574 
22,292 
90,294 
157,735 
244,310 
628,620 
75,832 
9,780 

10,105 
22,439 
96,247 
185,672 
244,147 
658,706 
88,069 
9,346 

+  5.5 

+.7 

+6.6 

+  17.7 

+4.8 
+  16.1 
-4.4 

919 
3,565 
23,923 
23.190 
95,600 
225,403 
28,592 
4,549 

1,042 
3,674 
23.136 
24,844 
89,559 
229,541 
34,666 
4,229 

+  13.4 
+3.1 
-3.3 
+7.1 
-6.3 
+  1.8 

+21.2 
-7.0 

1,329 
236 
7,573 
25,566 
20,815 
291,865 
7,828 
1,524 

1,418 
250 
8,307 
29,637 
21,958 
302,443 
9,246 
1.513 

+6.7 
+5.9 
+9.7 

+  15.9 
+5.5 
+3.6 

+  18.1 
-.7 

84 
62 
1,767 
4,300 
7,684 
86,421 
3,611 
473 

76 
64 
1,736 
4,692 
7,386 
85,948 
4,187 
445 

-9.5 
+3.2 
-1.8 
+9.1 
-3.9 
-.5 
+  16.0 
-5.9 

rcible  rape 

gravaled  assault             

rglary 

rceny-theft    

279,895 
958,542 

314,463 
1,000,268 

+  12.4 

51,597 
354,144 

52.696 
357,995 

+2.1 
+  1.1 

34,704 
322,032 

39.612 
335,160 

+  14.1 

+4.1 

6,213 
98,189 

6,568 
97,966 

-.2 

Crime  Index  total1 

1,238,437 

1,314,731 

+6.2 

405,741 

410,691 

+  1.2 

356.736 

374,772 

+5.1 

104,402 

104,534 

+.1 

ler  assaults 

331,510 
34,800 
90,117 
3,548 

72,861 
148,893 
109,325 

27,305 

55,557 
445,157 
18,426 

15.238 
759,083 

298,696 
607,312 
373,654 
24,435 
1,301,442 
4,583 
46,647 
42.115 

375,005 
35,981 
90,915 
3,697 

77,794 
154,570 
116,256 

30,573 

55,271 
455,283 
17,082 

16,522 
760,055 

317,100 
580,319 
388,091 
27,312 
1,430,845 
4,639 
50,439 
43,422 

+  13.1 
+3.4 

+4.2 

+6.8 
+3.8 
+6.3 

+  12.0 

+2.3 
-7.3 

+8.4 
+  .1 

+6.2 
-4.4 

+3.9 
+  11.8 
+9.9 
+  1.2 
+8.1 
+  3.1 

49,107 

3,974 

12,745 

336 

19,927 
69,338 
19,308 

654 

9,554 

53,350 

594 

1,178 
10,670 

63.594 
16,158 
54,761 

1,855 
179,349 

1,663 
46,647 
42,115 

52,645 

3,695 

12,423 

308 

21.468 
67,883 
19,795 

698 

9,379 

47,477 

486 

1,261 
12,619 

75,498 
18,748 
58,615 
1,691 
179,220 
1,495 
50,439 
43,422 

+7.2 
-7.0 
-2.5 
-8.3 

+7.7 
-2.1 
+2.5 

+6.7 

-1.8 
-11.0 

-18.2 

+7.0 
+  18.3 

+  18.7 
+  16.0 
+7.0 

-10.1 
+8.1 
+3.1 

60,956 
17.562 
56.008 
2,257 

9,848 
16,369 
9,149 

63,605 

5,231 
69,672 

3,277 

3,848 
105,427 

55,564 
58,990 
89,751 
3,124 
239,552 
996 
15,170 
58,330 

67,597 
18,619 
58.156 
2,457 

10.128 
18.373 
9,552 

58,336 

5,553 

75,275 
3,747 

4,909 
104,238 

62,547 
56,593 
89,368 
3,659 
262,033 
958 
17,142 
60,805 

+  10.9 
+o.O 
+  3.8 

+  8.9 

+2.8 
+  12.2 
+4.4 

-8.3 

+6.2 
+8.0 
+  14.3 

+27.6 
-1.1 

+  12.6 
-AA 
-A 

+  17.1 
+9.4 
-3.8 

+  13.0 
+4.2 

15,068 

1,916 

3,477 

154 

2,071 
6,375 
1,397 

1,462 

859 

9,030 

28 

701 
1,665 

22,204 
3,176 
12,956 

422 
46,190 

525 
15,170 
58.330 

15,851 
1,825 
3,884 
224 

2,153 
6,877 
1.376 

1,331 

763 

7,756 

32 

852 
1,982 

25,828 
3,356 
13,430 

373 
46,237 

430 
17,142 
60,805 

+  5.2 
-4.7 
+  11.7 
+45.5 

+4.0 
+7.9 
-1.5 

-9.0 

-11.2 
-14.1 
+  14.3 

+21.5 
+  19.0 

+  16.3 
+  5.7 
+3.7 

-11.6 

ud                                               

bezzlement 

ien  property;  buying,  receiving, 

ossessing 

ndalism 

apons;  carrying,  possessing,  etc 

stitution  and  commercialized 

ice                 

offenses  (except  forcible  rape  and 

ng  abuse  violations 

mbling 

enses  against  family  and 

lildren 

ving  under  the  influence 

uor  laws 

jnkenness 

orderly  conduct  

jrancy      

jicion  (not  included  in  totals) 

-18.1 
+  13.0 
+4.2 

naways 

Table  42. —  City  Arrests,  Distribution  by  Age,  1986 

[7,266  agencies;   1986  estimated  population   134,546,000] 


Total 
all 

Ages 
under 

Ages 

Ages 
18  and 

Age 

Offense  charged 

Under 
10 

ages 

15 

18 

over 

10-12 

13-14 

15 

16 

17 

18 

19 

20 

TOTAL 

8,003,325 

458,956 

1,461,997 

6,541,328 

40,168 

110,137 

308,651 

279,514 

346,917 

376,610 

392,747 

387,460 
4.8 

374, 

Percent  distribution1 

100.0 

5.7 

18.3 

81.7 

.5 

3.9 

3.5 

4.3 

4.7 

4.9 

Murder  and  nonnegligent 

manslaughter  

11,783 

133 

1,139 

10.644 

5 

11 

117 

198 

357 

451 

566 

603 

Forcible  rape  

23,404 

1,251 

3,859 

19,545 

66 

245 

940 

804 

876 

928 

927 

981 

1 

Robbery 

107,045 

6,117 

25,421 
30,518 

81,624 

193 

1,170 

4,754 
6,108 

5,265 

6,687 

7,352 

7,047 

6,642 

6, 

Aggravated  assault 

222,344 

8,783 

191,826 

612 

2,063 

5,738 

7,558 

8,439 

8,373 

8,664 

9, 

Burglary  

276,278 

36,297 

100,922 

175,356 

3,246 

9,145 

23,906 

20,718 

22,215 

21,692 

19,700 

16,681 

13, 

Larceny-theft 

998,139 

138,722 

327,725 

670,414 

13,853 

40,740 

84,129 

61.192 

65,810 

62,001 

54,930 

46,549 

39, 

Motor  vehicle  theft      

99,940 

9,665 

40,047 

59,893 

150 

1,136 

8,379 

9.739 

10,982 

9,661 

7,682 

6,287 

5, 

11,262 

3,022 

4,841 

6,421 

792 

887 

1.343 

722 

598 

499 

461 

337 

Violent  crime2 

364,576 

16,284 

60,937 

303,639 

876 

3,489 

11,919 

12.005 

15,478 

17,170 

16,913 

16,890 

16, 

Percent  distribution'  

100.0 

4.5 

16.7 

83.3 

.2 

1.0 

3.3 

3.3 

4.2 

4.7 

4.6 

4.6 

Property  crime3 

1,385,619 

187,706 

473,535 

912,084 

18,041 

51,908 

117,757 

92,371 
6.7 

99,605 
7.2 

93,853 
6.8 

82,773 
6.0 

69,854 
5.0 

58, 

Percent  distribution1 

100.0 

13.5 

34.2 

65.8 

1.3 

3.7 

8.5 

Crime  Index  total4 

1,750,195 

203,990 

534,472 

1,215,723 

18,917 

55,397 

129,676 

104,376 

115,083 

111,023 

99,686 

86,744 

75, 

Percent  distribution' 

100.0 

11.7 

30.5 

69.5 

1.1 

3.2 

7.4 

6.0 

6.6 

6.3 

5.7 

5.0 

Other  assaults              

456,614 

25.883 

70,990 

385,624 

2,281 

6,916 

16,686 

13,452 

15,187 

16,468 

16,015 

17,520 

18, 

Forgery  and  counterfeiting 

56,645 

910 

5,728 

50,917 

28 

182 

700 

1.002 

1,551 

2,265 

2,765 

3,102 

3. 

Fraud               

151,894 

6,557 

16,429 

135,465 

153 

1,381 

5,023 

5,864 

1,679 

2,329 

3,865 

4,959 

5, 

Embezzlement 

6,343 

43 

545 

5,798 

1 

8 

34 

49 

167 

286 

374 

420 

Stolen  property;  buying,  receiving, 

possessing 

91.144 

6,800 

24,680 

66,464 

289 

1,279 

5,232 

5,113 

6,073 

6,694 

6,932 

5,816 

5, 

Vandalism 

179,900 

37,992 

78,089 

101,811 

5,999 

11,735 

20,258 

13,622 

13,581 

12,894 

10,296 

8,603 

7, 

Weapons;  carrying,  possessing,  etc. 

129,563 

5,646 

21,820 

107,743 

208 

1,039 

4,399 

4.304 

5.465 

6.405 

7,115 

6,716 

6, 

Prostitution  and  commercialized 

90,808 

232 

2,090 

88,718 

20 

22 

190 

258 

562 

1.038 

2,738 

4.229 

4, 

Sex  offenses  (except  forcible  rape 

and  prostitution)  

62,798 

4,704 

10,469 

52,329 

437 

1,190 

3,077 

1,980 

1,922 

1,863 

1,892 

1,959 

2, 

Drug  abuse  violations     

547,961 

7,773 

56,993 

490,968 

150 

778 

6,845 

10,269 

16,847 

22,104 

27,970 

29,646 

29, 

Gambling 

21,239 

97 

528 

20,711 

4 

13 

80 

110 

122 

199 

306 

308 

Offenses  against  family  and 

children 

22,969 

1,203 

2,204 

20,765 

625 

158 

420 

388 

356 

257 

695 

750 

Driving  under  the  influence      

903,715 

296 

15,375 

888,340 

89 

19 

188 

672 

4,130 

10.277 

22,331 

29,550 

U, 

Llquor  laws 

395.875 

8,538 

106,724 

289.151 

352 

494 

7,692 

15,849 

33.004 

49,333 

59.228 

47.004 

if. 

Drunkenness 

654,651 

2,958 

23,038 

631.613 

456 

213 

2,289 

3,737 

6.375 

9,968 

16,375 

19,303 

20, 

Disorderly  conduct       

505,042 

20,807 

75,629 

429,413 

1,610 

5,006 

14,191 

13,464 

18,577 

22,781 

25,978 

27,546 

27. 

Vagrancy  

31,204 

442 

2,140 

29,064 

24 

68 

350 

423 

563 

712 

1.445 

1,487 

1, 

All  other  offenses  {except  traffic) 

1.760,858 

60,233 

234,255 

1,526,603 

5,909 

13,243 

41,081 

38,260 

61,744 

74.018 

86,332 

91,482 

91, 

Suspicion... 

6,373 

736 

2,265 

4,108 

82 

140 

514 

544 

534 

451 

409 

316 

Curfew  and  loitering  law 

violations 

70.266 

18,644 

70,266 

645 

3.111 

14,888 

16.231 

19.682 

15.709 

Runaways                           

107.268 

44,472 

107,268 

1,889 

7,745 

34,838 

29,547 

23.713 

9.536 

See  footnotes  al  end  of  table. 


Table  42. —  City  Arrests,  Distribution  by  Age,  1986  —  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 

TOTAL 

372,885 

361,421 

349,371 

333,468 

1,403,530 

962,230 

619,045 

352,641 

4.4 

221,699 

153,673 
1.9 

110,287 

74,429 
.9 

72,337 

Percent  distribution1  

4.7 

4.5 

4.4 

4.2 

17.5 

12.0 

7.7 

2.8 

Murder  and  nonnegligent 

manslaughter 

574 

546 

531 

502 

2,390 

1,588 

1.079 

611 

369 

240 

187 

94 

149 

Forcible  rape 

1,088 

1,028 

1.053 

989 

4.773 

3,191 

1.992 

1,039 

646 

317 

238 

138 

138 

Robbery 

6,022 

5,623 

5,306 

4,847 

19.632 

10,973 

5,383 

2,094 

944 

451 

254 

191 

183 

Aggravated  assault 

9,939 

9.980 

10,036 

9,821 

44,335 

31,290 

20,356 

11.596 

6,968 

4,530 

2,936 

1,953 

1.802 

lurglary 

12,608 

11,255 

10,333 

9,465 

37,573 

22,473 

11.602 

4.906 

2,184 

1.228 

781 

422 

444 

Larcenv-theft    

36,894 

34.390 

31,934 

29,686 

130.086 

96,651 

63,263 

34,013 

21,627 

15,605 

12,582 

9,343 

13,507 

Motor  vehicle  theft 

4.438 

3,941 

3.544 

3.120 

12,048 

6.752 

3.562 

1,645 

805 

422 

248 

138 

132 

^rson 

302 

322 

312 

330 

1.337 

980 

655 

399 

247 

177 

115 

64 

62 

Violent  crime2 

17.623 

17,177 

16,926 

16,159 

71.130 

47.042 

28,810 

15,340 

8,927 

5,538 

3,615 

2,376 

2,272 

Percent  distribution ' 

4.8 

4.7 

4.6 

4.4 

19.5 

12.9 

7.9 

4.2 

2.4 

1.5 

1.0 

.7 

.6 

Property  crime1 

54,242 

49,908 

46.123 

42,601 

181,044 

126,856 

79,082 

40,963 

24,863 

17,432 

13.726 

9,967 

14.145 

Percent  distribution1  

3.9 

3.6 

3.3 

3.1 

13.1 

9.2 

5.7 

3.0 

1.8 

1.3 

1.0 

.7 

1.0 

Crime  Index  total4 

71,865 

67,085 

63,049 

58,760 

252,174 

173,898 

107,892 

56.303 

33,790 

22,970 

17,341 

12,343 

16,417 

Percent  distribution1 

4.1 

3.8 

3.6 

3.4 

14.4 

9.9 

6.2 

3.2 

1.9 

1.3 

1.0 

.7 

.9 

Dther  assaults 

21,112 

21,829 

21,909 

21,414 

93,215 

63,179 

39.027 

21,523 

12,219 

7.379 

4,602 

2,813 

2,871 

-orgery  and  counterfeiting 

3.059 

2.978 

3,026 

2,821 

12,096 

8,584 

5,012 

2,151 

1.081 

540 

330 

187 

151 

-raud                                    

6,421 

6,852 

7,089 

7,236 

31,535 

24,747 

16,746 

8,984 

4,877 

2,506 

1,623 

1,119 

1,072 

Embezzlement 

346 

362 

362 

331 

1.200 

773 

555 

298 

196 

99 

78 

37 

14 

tolen  property,  buying,  receiving. 

possessing 

4.560 

4.034 

3,861 

3,389 

13,259 

8,866 

4,993 

2,574 

1,300 

767 

480 

305 

266 

/andalism 

7,120 

6,411 

5,883 

5,682 

21,722 

12,857 

7,244 

3.642 

1,973 

1,185 

779 

436 

481 

Weapons;  carrying,  possessing,  etc.  . 

6,495 

6,301 

5,995 

5,397 

23,420 

15.108 

9,901 

5,556 

3,375 

2.217 

1,471 

1,089 

1,051 

'restitution  and  commercialized 

vice            

6,287 

6.833 

6,860 

6,169 

25,384 

13,207 

5,899 

2,609 

1,311 

814 

610 

461 

422 

ex  offenses  (except  forcible  rape 

and  prostitution) 

2.214 

2,356 

2,313 

2,310 

10,937 

8,306 

6,080 

3,834 

2,619 

1.773 

1,437 

1,030 

1.146 

Drug  abuse  violations 

31,600 

31.564 

30,842 

29,736 

124,473 

77,396 

42,012 

17,217 

8,360 

4,438 

2,753 

1,737 

1,233 

jambling 

505 

538 

606 

631 

3,240 

2,867 

2,786 

2,330 

1.839 

1,517 

1,153 

823 

840 

Dffenses  against  family  and 

children 

894 

947 

937 

1,071 

4,732 

3,916 

2,764 

1,528 

797 

392 

243 

137 

158 

Driving  under  the  influence 

43,805 

45,547 

46,014 

45,711 

200,771 

140,893 

97,771 

63,101 

42.590 

29.668 

21,206 

13,767 

10,967 

-iquor  laws 

16.230 

13,097 

11,138 

9,735 

33,435 

21,003 

14,513 

9,099 
52.814 

6.265 
38,649 

4,707 

3,191 

1,968 

1,598 

Drunkenness  

26,627 

25.790 

25,922 

25,851 

121,627 

97,249 

74,705 

32,102 

24.565 

15,849 

13,507 

Disorderly  conduct 

29,191 

27,542 

25,805 

24,228 

90,838 

57,256 

34,353 

19,473 

12,347 

8,805 

6,835 

6,026 

5,302 

/agrancy 

1,262 

1.110 

1,208 

1.213 

5,195 

4,589 

3,584 

2,240 

1,572 

1,196 

778 

468 

408 

W\  other  offenses  (except  traffic) 

93,034 

90,022 

86.337 

81,556 

333,350 

227,003 

142,874 

77.160 

46.467 

30,541 

20,782 

13,798 

14.415 

uspicion 

258 

223 

215 

227 

927 

533 

334 

205 

72 

57 

30 

36 

18 

Durfew  and  loitering  law 

Runaways      

Because  of  rounding,  the  percenlages  may  not  add  to  total. 
■Violent  crimes  are  offenses  of  murder,  forcible  rape,  robbery, 
'Property  crimes  are  offenses  of  burglary,  larceny-theft,  motor 
includes  arson. 


Table  43.  —  City  Arrests  of  Persons  under  IS,  18,  21,  and  25  Years  of  Age,  1986 
[7,266  agencies;   1986  estimated  population  134,546,000] 


Total 
all  ages 

Number  of  persons  arrested 

Percent  of  total  all  ages 

Offense  charged 

Under  15 

Under  18 

Under  21 

Under  25 

Under 
15 

Under 
18 

Under 
21 

Under 

25 

8,003,325 

458,956 

1,461,997 

2,616,309 

4,033,454 

5.7 

18.3 

32.7 

11,783 
23,404 
107,045 
222,344 
276,278 
998,139 
99,940 
11,262 

133 
1,251 
6,117 
8,783 
36,297 
138,722 
9,665 
3,022 

1,139 
3,859 
25.421 
30,518 
100,922 
327,725 
40,047 
4,841 

2,923 
6,774 
45,142 
56,802 
151,004 
468,558 
59,145 
5,960 

5,076 
10,932 
66,940 
96,578 
194,665 
601,462 
74,188 
7,226 

5.3 
5.7 
4.0 
13.1 
13.9 
9.7 
26.8 

9.7 
16.5 
23.7 
13.7 
36.5 
32.8 
40.1 
43.0 

24.8 
28.9 
42.2 
25.5 
54.7 
46.9 
59.2 
52.9 

Robbery 

62. 

Arson        ...                                      

64. 

Violent  crime1 

Property  crime2 

364.576 
1,385,619 

16,284 
187,706 

60,937 
473,535 

111,641 
684,667 

179,526 
877,541 

4.5 
13.5 

16.7 
34.2 

30.6 
49.4 

49. 
63. 

Crime  Index  total3 

1.750,195 

203.990 

534,472 

796.308 

1,057,067 

11.7 

30.5 

45.5 

60. 

Other  assaults 

Forgery  and  counterfeiting 

Fraud    

Stolen  property,  buying,  receiving,  possessing 
Vandalism 

456.614 
56,645 

151.894 
6.343 
91,144 

179,900 

129,563 

90.808 
62.798 

547,961 
21,239 
22,969 

903.715 

395,875 
654,651 
505,042 
31,204 
1,760,858 
6,373 
70,266 
107.268 

25.883 
910 
6,557 
43 
6,800 
37,992 
5,646 

232 

4,704 

7,773 

97 

1,203 

296 

8,538 
2,958 
20,807 
442 
60,233 
736 
18,644 
44,472 

70.990 
5,728 
16,429 
545 
24,680 
78,089 
21,820 

2.090 

10,469 

56,993 

528 

2,204 
15,375 

106,724 
23,038 
75,629 
2,140 
234,255 
2,265 
70,266 
107,268 

123,522 
14,629 
31.087 
1,692 
42.490 

104,485 
42,187 

13,942 
16.443 
144,600 
1,564 
4.453 
101,904 

249,896 
79,394 
157,041 
6,381 
503,519 
3,238 
70,266 
107,268 

209,786 
26,513 
58,685 
3,093 
58,334 

129,581 
66.375 

40,091 
25.636 
268,342 
3,844 
8,302 
282,981 

300.096 
183,584 
263,807 

11,174 

854,468 

4,161 

70,266 
107,268 

5.7 
1.6 
4.3 
.7 
7.5 
21.1 
4.4 

7.5 
1.4 
.5 
5.2 
(4) 

2.2 
.5 

1.4 
3.4 
11.5 
26.5 
41.5 

15.5 
10.1 
10.8 
8.6 
27.1 
43.4 
16.8 

2.3 
16.7 
10.4 
2.5 
9.6 
1.7 

27.0 
3.5 
15.0 
6.9 
13.3 
35.5 
100.0 
100.0 

27.1 
25.8 
20.5 
26.7 
46.6 
58.1 
32.6 

15.4 
26.2 
26.4 
7.4 
19.4 
11.3 

63.1 
12.1 
31.1 
20.4 
28.6 
50.8 
100.0 
100.0 

45. 
46. 
38. 
48. 
64. 
72. 

Prostitution  and  commercialized  vice 

Sex  offenses  (except  forcible  rape  and  prostitution) 

Drug  abuse  violations 

Gambling 

Offenses  against  famiK  and  children 
Driving  under  the  influence 

44. 
40. 
49. 
18. 
36. 
31. 

28. 

52. 

48. 

65. 

100. 

100. 

Violeni  cr 
: Property  i 
■Includes  ; 


able  44. —  City  Arrests,  Distribution  by  Sex,  1986 

,266  agencies;   1986  estimated  population  134,546,000] 


Offense  charged 

Number  of  persons  arrested 

Percent 
male 

Percent 

Percent  distribution1 

Total 

Male 

Female 

Total 

Male 

Female 

8,003,325 

6.588,134 

1,415,191 

82.3 

17.7 

100.0 

100.0 

100.0 

urder  and  nonnegligent  manslaughter 

reible  rape 

bbery 

11,783 
23,404 
107,045 
222.344 
276,278 
998,139 
99.940 
11,262 

10.341 
23.149 
98.533 
191,788 
253.693 
684,575 
90,427 
9,707 

1,442 
255 
8.512 
30,556 
22,585 
313,564 
9,513 
1,555 

87,8 

92.0 
86.3 
91.8 

90.5 
86.2 

12.2 

8.0 
13.7 

8.2 
31.4 

9.5 

.3 
1.3 

2.8 
3.5 
12.5 
1.2 

1 

.4 
1.5 
2.9 
3.9 
10.4 
1.4 

.1 

.1 
(;) 

.6 
2.2 
1.6 
22.2 

.7 

.1 

rglary 

Dtor  vehicle  theft                                    

Violent  crime'                                    

Property  crime4 

364,576 
1,385,619 

323,811 
1,038,402 

40,765 
347,217 

88.8 
74.9 

11.2 

25.1 

17.3 

4.9 
15.8 

2.9 
24.5 

1,750,195 

1,362,213 

387,982 

77.8 

22.2 

21.9 

20.7 

27.4 

ler  assaults 

rgery  and  counterfeiting 

ibezzlement 

456.614 

56,645 

151.894 

6,343 

91.144 
179,900 
129,563 

90,808 
62,798 

547,961 
21,239 
22,969 

903,715 

395,875 
654,651 
505,042 
31.204 
1,760,858 
6,373 
70,266 
107,268 

386,915 
37,300 
92,574 
3,829 
80,595 
160,890 
119.767 

31,215 
57,138 

470,115 
17,440 
17.835 

794.767 

330.625 
596,260 
411,170 
27,496 
1,487,596 
5,276 
52,410 
44,708 

69,699 
19,345 
59,320 

2,514 
10.549 
19,010 

9,796 

59,593 
5,660 
77,846 
3,799 
5,134 
108,948 

65,250 
58.391 
93,872 

3.708 
273,262 

1,097 
17.856 
62,560 

84.7 
65.8 
60.9 
60.4 
88.4 
89.4 
92.4 

34.4 
91.0 
85.8 
82.1 
77.6 
87.9 

83.5 
91.1 
81.4 
88.1 
84.5 
82.8 
746 
41.7 

15.3 
34.2 
39.1 
39.6 
11.6 
10.6 
7.6 

65.6 
9.0 

14.2 
17.9 
22.4 
12.1 

16.5 
8.9 
18.6 
11.9 
15.5 
17.2 
25.4 
58.3 

5.7 
.7 
1.9 

2.2 
1.6 

11 

.8 
6.8 
.3 
.3 
11.3 

8.2 
6.3 

22.0 
1 

.9 
1.3 

5.9 

1.4 

1.2 
2.4 
1.8 

.5 
.9 
7.1 
.3 
.3 
12.1 

5.0 

6.2 

.4 

22.6 

.8 

4.9 
1.4 
4.2 
.2 
.7 

.apons;  carrying,  possessing,  etc 

astitution  and  commercialized  vice 

offenses  (except  forcible  rape  and  prostitution) 
ug  abuse  violations 
mbling 

.7 

4.2 

5.5 
.3 

uor  laws 
unkenness 
orderly  conduct 
grancy 

other  offenses  (except  traffic) 

picion 

rfew  and  loitering  law  violations 
naways 

4.6 
4.1 
6.6 
.3 
19.3 

1.3 
4.4 

Because  of  rounding,  the  percentages  may  not  add  to  total. 
2Less  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 


193 


Table  45. —  City  Arrests,  Distribution  by  Race,  1986 

[7,251  agencies;   1986  estimated  population  133,894,000] 


Percent  distribute 


Alaskan 


Murder  and  nonneghgent  manslaughter 

Forcible  rape     

Robbery 

Aggravated  assault   

Burglary  

Larceny-theft 

Motor  vehicle  theft 

Arson  

Violent  crime2 

Property  crime3 

Crime  Index  total  

Other  assaults 

Forgery  and  counterfeiting  

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  violation 

Runaways 


11,670 
23,062 
106.456 
221,582 
275,107 
996.091 
99.200 
11,182 


6,342 
90,538 
179,457 
128,791 

90,492 

62,638 
545,218 
20,805 
21,764 
900,131 

393,379 
649,812 
501,197 
31,187 
,752,384 
6,364 
69,727 
107,177 


5,037 
10,766 
37,729 
121,587 
180,458 
665,218 
59,104 
8,062 


6,451 
11,990 
67,618 
96,767 
90,619 
308.041 
38,266 

3,004 


285,082 
35,987 
93,973 
4,322 
52,636 

136,703 
78.820 

53,899 

46,633 

350.591 

9,608 

14,113 

787,452 

341,243 


1,065,255 
4,716 
52,771 
88.706 


36,983 
39,597 
48.406 

35,354 

14,932 
189,618 
10,458 
7,222 
98,052 

40,948 
126,860 
163,004 


8,676 
15,407 

5,043 


See 


at  end  of  table. 


45. —  City  Arrests,  Distribution  by  Race,  1986  —  Continued 


Arrests  under  18 

Percent  distribution1 

Offense  charged 

Total 

White 

Black 

American 

Alaskan 

Native 

Pacific 
Islander 

Total 

White 

Black 

American 

or 
Alaskan 
Native 

Asian 

or 
Pacific 
Islander 

1,457,149 

1,062,173 

366,092 

12,420 

16,464 

100.0 

72.9 

25.1 

.9 

rder  and  nonnegligent  manslaughter 

1,138 
3,778 
25,268 
30,397 
100,417 
327,134 
39,616 
4,819 

494 
1,566 
8,082 
16,369 
72,751 
231,337 
24,440 
3,998 

614 
2,168 
16,885 

13,569 
25,838 
87,124 
14,160 
765 

9 

20 
78 
218 
801 
4,009 
455 
29 

21 
24 
223 
241 
1,027 
4,664 
561 
27 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

43.4 
41.5 
32.0 
53.9 
72.4 
70.7 
61.7 
83.0 

54.0 
57.4 
66.8 
44.6 
25.7 
26.6 
35.7 
15.9 

.8 
.5 
.3 
.7 
.8 
1.2 
1.1 

1.8 

60.581 
471,986 

26,511 
332,526 

33,236 
127,887 

325 
5,294 

6,279 

100.0 
100.0 

43.8 
70.5 

54.9 
27.1 

.5 
1.1 

Crime  Index  total4 

532,567 

359,037 

161,123 

5,619 

6.788 

100.0 

67.4 

30.3 

u 

1.3 

70,796 

5,724 

16.423 

544 

24,611 
77.917 
21,754 

2,085 

10,458 
56,258 
528 
2,202 
15.329 

106,449 

22.976 
75,500 

2,135 
233,724 

2,265 
69,727 
107,177 

44,849 

4,655 

7,846 

405 

15.118 
63,413 
14,531 

1,290 

7,306 

39,380 

162 

1,551 
14,649 

101,162 
20,957 
55,088 
1,806 
165,670 
1,821 
52,771 
88,706 

24.510 

994 

8.294 

136 

9,190 
13,098 
6.893 

752 

3,011 

16,185 

313 

634 

452 

3,400 
1.623 
19,775 
293 
63,506 
424 
15,609 
15,877 

553 
32 
37 

124 
602 
101 

16 

60 
213 

170 

1,343 
337 
348 
16 
1,237 
7 
495 
1,105 

884 

43 

246 

2 

179 
804 
229 

27 

480 
53 
13 
58 

544 
59 
289 
20 
3.311 
13 
852 
1,489 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 

100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

63.3 
81.3 
47.8 

74.4 

61.4 
81.4 
66.8 

61.9 

69.9 
70.0 
30.7 
70.4 
95.6 

95.0 
91.2 
73.0 
84.6 
70.9 
80.4 
75.7 
82.8 

34.6 
17.4 
50.5 
25.0 

37.3 
16.8 
31.7 

36.1 

28.8 
28.8 
59.3 
28.8 

2.9 

3.2 
7.1 

26.2 
13.7 
27.2 
18.7 
22.4 
14.8 

.8 

.2 
.2 

.5 
.8 
.5 

.6 
(5) 

1.0 

gery  and  counterfeiting 

ud 

bezzlement 

en  property;  buying,  receiving, 

ossessing  

idalism      

apons;  carrying,  possessing,  etc. 

istitution  and  commercialized  vice 
offenses  (except  forcible  rape  and 

restitution) 

ag  abuse  violations       

mbling 

.8 
1.5 

.7 
1.0 
1.1 

1.3 

.8 

.9 

10.0 

.6 

uor  laws    

.5 

orderly  conduct            

other  offenses  (except  traffic)       

picion 

[few  and  loitering  law  violations  

naways 

.4 
.9 
1.4 
.6 
1.2 
1.4 

See  footnotes  at  end  of  table. 


195 


Table  45.  — City  Arrests.  Distribution  by  Race,  1986  —  Continued 


Arrests  18  and  over 

Percent  distribution1 

Offense  charged 

Total 

White 

Black 

American 
Indian 

or 
Alaskan 
Native 

Pacific 

Islander 

Total 

White 

Black 

American 
Indian 

Alaskan 
Native 

Pacific 

Islander 

6,507,562 

4,386,476 

2,006,753 

71,920 

42,413 

100.0 

67.4 

30.8 

1.1 

Murder  and  nonnegligen!  manslaughter 

10,532 
19,284 
81,188 
191,185 
174,690 
668,957 
59,584 
6,363 

4,543 
9,200 
29,647 
105,218 
107,707 
433,881 
34,664 
4,064 

5,837 
9,822 
50,733 
83,198 
64,781 
220,917 
24,106 
2,239 

70 
152 
418 
1,585 
1,292 
8,239 
426 
34 

82 
110 
390 
1.184 
910 
5,920 
388 
26 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

43.1 
47.7 
36.5 
55.0 
61.7 
64.9 
58.2 
63.9 

55.4 
50.9 

62.5 
43.5 
37.1 
33.0 
40.5 
35.2 

« 

7 

5 
8 

7 
2 
7 

5 

Arson 

Violent  crime2 

302,189 
909,594 

148,608 
580,316 

149,590 
312.043 

2,225 
9,991 

1,766 
7,244 

100.0 

100.0 

49.2 
63.8 

49.5 
34.3 

.7 
1.1 

Crime  Index  total4 

1,211,783 

728,924 

461.633 

12,216 

9,010 

100.0 

60.2 

38.1 

1.0 

383,511 
50,839 
135,665 

5,798 

65,927 
101.540 
107,037 

88,407 

52,180 
488,960 
20,277 
19,562 
884,802 

286,930 
626,836 
425,697 
29,052 
1,518,660 
4,099 

240,233 
31,332 
86,127 
3,917 

37,518 
73,290 
64,289 

52,609 

39,327 

311,211 

9,446 

12,562 
772,803 

240,081 
485,102 
276,511 
18,714 
899,585 
2,895 

136,971 
18,976 
48,406 
1,798 

27,793 
26,499 
41,513 

34,602 

11.921 
173,433 
10.145 
6,588 
97,600 

37.548 
125,237 
143,229 
9,171 
592,531 

3,912 
246 
516 

31 

350 
1,164 
520 

421 

597 

1,958 

10 

301 
9,012 

7,333 
15,070 
4,695 
1,000 
12,538 
30 

2,395 
285 
616 
52 

266 
587 
715 

775 

335 

2,358 

676 

111 

5,387 

1,968 
1,427 
1,262 
167 
14,006 
15 

100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

62.6 
61.6 
63.5 
67.6 

56.9 

72.2 
60.1 

59.5 

75.4 
63.6 
46.6 
64.2 
87.3 

83.7 
77.4 
65.0 
64.4 
59.2 
70.6 

35.7 
37.3 
35.7 
31.0 

42.2 
26.1 
38.8 

39.1 

22.8 
35.5 
50.0 
33.7 
11.0 

13.1 
20.0 
33.6 
31.6 
39.0 
28.3 

1.0 
.5 

.5 

.5 
1.1 
.5 

.5 

1.1 

(5) 
1.5 
1.0 

2.4 
1.1 
3.4 
.8 

.7 

Embezzlement 

Stolen  property;  buying,  receiving, 

possessing 

Vandalism 

Weapons;  carrying,  possessing,  etc 

Sex  offenses  (except  forcible  rape  and 
prostitution) 

Drug  abuse  violations    

Gambling 

3. 

Drunkenness 

Disorderly  conduct  .             

Vagrancy 

All  other  offenses  (except  traffic) 

Suspicion  

Curfew  and  loitering  law  violations 

Runaways 

'Because  of  rounding,   the  percentages  may 
:Violent  crimes  are  offenses  of  murder,  fore 
'Property  crimes  are  offenses  of  burglary,  la 
''Includes  arson. 
sLess  than  one-tenth  of  1   percent. 

196 

not  add  to  to 
ble  rape,  rob 
rceny-theft,  tr 

Kry,  and  agg 

avated  assaul 
heft,  and  ars 

. 

able  46. —  City  Arrests,  Distribution  by  Ethnic  Origin,  1986 

S.631  agencies;   1986  estimated  population   121.146,000] 


Total  all  ages 

Number  of  arrests 

Percent  distribution 

Total 

Hispanic 

Non- 
Hispamc 

Total 

Hispanic 

Non- 
Hispanic 

7,185,728 

984,572 

6,201,156 

100.0 

13.7 

86.3 

urder  and  nonneghgent  manslaughter 
orciblc  rape 
obbery 

10,382 
20,350 
95,786 
195,447 
243,048 
882,294 
89,199 
9,941 

1,752 
2,518 
13,743 
32,630 
40,866 
114,932 
15,379 
914 

8,630 
17,832 
82,043 
162,817 
202,182 
767,362 
73,820 
9,027 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

16.9 
12.4 
14.3 
16.7 
16.8 
13.0 
17.2 
9.2 

83.1 
87.6 
85.7 
83.3 
83.2 
87.0 
82.8 
90.8 

321,965 
1,224,482 

50.643 
172.091 

271,322 
1.052,391 

100.0 
100.0 

15.7 

14  1 

Property  crime1 

85.9 

1.546,447 

222,734 

1,323,713 

100.0 

14.4 

85.6 

415,849 
50,773 

139,531 
5,894 
81,868 

166,874 

112,833 

80,930 
55,987 

489,960 
18,130 
18,483 

821,239 

361,223 
596,057 
450,697 
29,039 
1,575,849 
6,002 
63,577 
98,486 

44,661 
3,801 
8,078 
430 
12,520 
15,972 
17,937 

8,040 
6,903 

104,856 
4,946 
1,206 

121,098 

36,113 

121,432 

44,329 

4.280 

189,456 

668 

5,561 

9,551 

371,188 
46,972 

131,453 
5.464 
69,348 

150,902 
94,896 

72,890 
49,084 

385,104 
13,184 
17,277 

700.141 

325.110 
474.625 
406,368 
24,759 
1.386,393 
5,334 
58,016 
88,935 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
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 

10.7 
7.5 
5.8 
7.3 

15.3 
9.6 

9.9 
12.3 
21.4 
27.3 

6.5 
14.7 

10.0 
20.4 
9.8 
14.7 
12.0 
III 
8.7 
9.7 

89.3 
92.5 
94.2 
92.7 
84.7 
90.4 
84.1 

90.1 
87.7 
78.6 
72.7 
93.5 
85.3 

90.0 
79.6 
90.2 
85.3 
88.0 
88.9 
91.3 

srgery  and  counterfeiting 
aud 

mbezzlement                     

olen  property;  buying,  receiving,  possessing 

eapons;  carrying,  possessing,  etc 

ostltution  and  commercialized  vice 

rug  abuse  violations 

Tenses  against  family  and  children 

quor  laws 

runkenness 

sorderl)  .c-Ji"-' 

igrancy 

II  other  offenses  (except  traffic) 

ispicion 

197 


Table  46. —  City  Arrests,  Distribution  by  Ethnic  Origin,  1986  —  Continued 


Under   18  years  of  ; 


Number  of  arrests 


Percent   disli  it.uli.  n 


Murder  and  nonnegligent  manslaughtt 

Forcible  rape  

Robbery 

Aggravated  assault 

Burglary 

Larceny-theft 

Motor  vehicle  theft 

Arson 


Violent  cnme 
Property  cnmc2 


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  prostiti 

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  violation 

Runaways  

See  footnotes  at  end  of  table. 


1,031 
3,246 
22,986 
26,407 
88,910 
292,017 
35,660 
4,428 


22,492 
72,731 
19,740 


2,002 

209,471 

2,073 

63,577 


323 

2,923 

3,429 

19.557 

4,158 

22,249 

14,176 

74,734 

33,956 

258,061 

5,525 

30,135 

420 

4,008 

8,153 

45,517 

54,077 

366,938 

8,453 

41,191 

397 


234 

1,768 

■0,677 

178,794 

229 

1,844 

5,561 

58,016 

9,551 

88,935 

ble  46. —  City  Arrests,  Distribution  by  Ethnic  Origin,  1986  —  Continued 


Offense  charged 


years  of  age  and  over 


Percent  distribution 


bezzlement  

len  property;  buying,  receiving,  possessing 

idalism 

ipons;  carrying,  possessing,  etc. 


stitution  and  commercialized  vice 
offenses  (except  forcible  rape  and  prostitu 

ig  abuse  violations 

nbling 

Mises  against  family  and  children 
ving  under  the  influence 

nor  laws  

inkenness 

orderly  conduct 

pmcy 

other  offenses  (except  traffic) 
picion 

few  and  loitering  law  violations 

laways 


rder  and  nonnegligent  manslaughter 
cible  rape 

)bery  

jravated  assault 

'glary 

ceny-theft  

tor  vehicle  theft 

Violent  crime1  

Property  crime2 


Crime  Index  total 


9.351 
17,104 
72,800 
169,040 
154,138 
590,277 
53,539 
5,513 


350,963 
45,545 

123,500 
5,388 
59,376 
94,143 
93,093 

79.127 
46,342 
438,319 


261,670 
574,906 
380,778 
27,037 
.366,378 
3,929 


1.509 

7,842 

2,195 

14,909 

10,314 

62,486 

28,472 

140,568 

26,690 

127,448 

80.976 

509,301 

9,854 

43,685 

494 

5.019 

42,490 

225,805 

18,014 

685,453 

100.0 
100.0 
100.0 


36,911 

314,052 

3,466 

42,079 

4,496 

119,004 

370 

5,018 

9,114 

50,262 

8,624 

85,519 

14,308 

78,785 

7,881 

71,246 

5,711 

40,631 

94,406 

343,913 

4,897 

12,787 

1,003 

15,374 

19,266 

687,807 

29,805 

231.865 

15,872 

459,034 

36.318 

344,460 

4.046 

22,991 

58,779 

1,207,599 

439 

3,490 

199 


Table  47.  — Suburban  County  Arrest  Trends,  1985-1986 

[991  agencies:   1986  estimated  population  36,553,000] 


Number  of  persons  arrested 


Under  18  years  of  age 


Percent 


Murder  and  nonnegligent  manslaughter 

Forcible  rape 

Robbery 

Aggravated  assault 

Burglary 

Larceny-theft 

Motor  vehicle  theft  


Violent  crime 
Property  crime 


Crime  Index  total 


Other  assaults 

Forgery  and  counterfeiting 

Embezzlement 

Stolen  property,  buying,  receiving, 

Vandalism 

Weapons:  carrying,  possessing,  etc. 


Prostitution  and  commercialized  vice 
Sex  offenses  (except  forcible  rape  and 

prostitution) 

Drug  abuse  violations 

Gambling      

Offenses  against  family  and  children 
Driving  under  the  influence 


Liquor  laws 

Drunkenness 

Disorderly  conduct 

Vagrancy  

All  other  offenses  (except  traffic) 
Suspicion  (not  included  in  totals) 
Curfew  and  loitering  law  violations .. 
Runaways 


2,596 
4,745 
13,240 
40,761 
60,597 
125,629 
16,939 
2,604 


2,643 
4,834 
14,127 
46,233 
62,747 
133,854 
19,932 
2,600 


77,234 

85,177 

10,398 

11,525 

72,253 

78,370 

2,458 

2,808 

14,342 

15,406 

26,348 

26,920 

19,494 

20,510 

4,838 

5,316 

14,098 

13,738 

96,319 

94,061 

3,188 

3,407 

13,704 

13,683 

321,273 

315,826 

41,324 

46,930 

64,412 

62,156 

30,169 

31,814 

1,337 

1,400 

301,753 

325,320 

387 

412 

156 
635 
2,431 
5,207 
22,673 
36,707 
6,130 
1,119 


158 
663 
2,270 
5,378 
22,538 
39,257 
7,297 
1,044 


2,440 

2,485 

4,110 

4,171 

10,809 

11,857 

35,554 

40,855 

37,924 

40,209 

88,922 

94,597 

10,809 

12,635 

1,485 

1,556 

52,913 

59,368 

139,140 

148,997 

67,024 

73,905 

9,580 

10,674 

71,428 

77,473 

2,325 

2,670 

11,429 

12,437 

14.625 

15,241 

16,878 

17,869 

11,758 
86,697 
3,126 
13,483 
317,859 

29,335 
62,482 
25,942 


32,658 
60,077 
27,077 


Violent  ci 
'Property 
'includes  : 


able  48. —  Suburban  County  Arrest  Trends,  Sex,  1985-1986 

191  agencies;   1986  estimated  population  36,553,000] 


Percent 
change 


Percent 


Percent 


TOTAL 

[urder  and  nonnegligent 

manslaughter 

jrcible  rape 

ggravated  assault 

irglary 

irceny-theft 

xrtor  vehicle  theft 

Violent  crime1 

Property  crime2 

Crime  Index  total' 

ther  assaults  

>rgery  and  counterfeiting 

■aud 

nbezzlement 

olen  property;  buying,  receiving, 

possessing 

uidalism  

eapons;  carrying,  possessing,  etc. 

ostitution  and  commercialized  vice 
x  offenses  (except  forcible  rape 

and  prostitution) 

rug  abuse  violations 

ambling 

Tenses  against  family  and  children 
riving  under  the  influence 

quor  laws 

runkenness 

isorderly  conduct 

igrancy  

[1  other  offenses  (except  traffic) .... 
spicion  (not  included  in  totals) .... 
ufew  and  loitering  law  violations 
jnaways 


'Violent  ci 
'Includes  i 


2,264 
4,693 
12,379 
35,713 
56,254 


12,735 
23,778 
18,134 

1,977 

13,457 
81,745 
2,682 
12,678 
284,810 

33,< 


2,335 
4,781 
13,139 
40,860 
58,105 
95,315 


:.:45 


2,275 

2,126 

4,424 

4,672 

20,997 

20,816 

27,661 

29,564 

5,402 

6,487 

1,008 

917 

7,452 

7,597 

55,068 

57,784 

5,373 
4,642 
38,539 


2.609 
10.738 
2,452 


1,944 

13,030 
79,231 
2,918 
12,569 
280,114 

37,942 
55,941 
26,783 


2,699 
10,615 
2,464 


3,824 

276 

23,637 


11,565 

12,760 

3,493 

3,928 

34,593 

38,472 

786 

936 

1,607 

1,677 

2,570 

2,741 

1,360 

1,420 

14,574 

506 

1,026 

36,463 


281 
50 

-2.8 
+42.9 

270 
1,064 

177 

-11.2 
+  8.0 
+7.9 

59 

+7.3 

150 
1,284 

7 

-17.1 
-20.1 
+75.0 

201 


Table  49.  —  Suburban  County  Arrests,  Distribution  by  Age,  1986 
[1,093  agencies;   1986  estimated  population  39,699,000] 


Total 
all 
ages 

15 

Ages 
18 

Ages 
18  and 

Age 

Offense  charged 

Under 
10 

10-12 

13-14 

15 

16 

17 

18 

19 

20 

1,554,259 
100.0 

59,559 
3.8 

208,973 
13.4 

1,345,286 
86.6 

4,645 
.3 

12,736 
.8 

42,178 

2.7 

40,902 
2.6 

50,598 
3.3 

57,914 

3.7 

65,220 
4.2 

67,753 
4.4 

Murder  and  nonnegligent 

2,852 
5,220 
14,808 
49,352 
66,716 
141,047 
20,816 
2,766 

10 
197 
485 
1,733 
7.664 
14,355 
1,715 
631 

170 
693 
2,335 
5,652 
23,831 
40,948 
7,619 
1,071 

2,682 
4,527 
12.473 
43,700 
42,885 
100,099 
13,197 
1.695 

2 

697 

1,138 

32 

37 
73 
401 
1,762 
3,715 
168 
166 

7 
151 
406 
1,190 
5,205 
9,502 
1,515 
278 

28 

138 

487 

1,016 

4,811 

7.751 

1,874 

179 

63 

182 

589 

1,320 

5,499 

9,142 

2,101 

135 

69 

176 

774 

1,583 

5.857 

9,700 

1.929 

126 

120 
197 
1,007 
1.821 
5,423 
8,356 
1,502 
116 

134 
187 
1,000 
1.803 
4,580 
7,037 
1,283 
133 

9 

72,232 

100.0 

231,345 

100.0 

2,425 

3.4 

24,365 

10.5 

8,850 

12.3 

73,469 

63,382 

87.7 

157,876 

68.2 

159 
2,054 

512 

.7 

5,811 

2.5 

1.754 

2.4 

16,500 

7.1 

1,669 

2.3 

14,615 

6.3 

2,154 

3.0 

16,877 

7.3 

2.602 

3.6 

17.612 

7.6 

3.145 

15.397 
6.7 

3.124 

4.3 

13,033 

5.6 

303,577 
100.0 

26.790 
8.8 

82,319 
27.1 

221,258 
72.9 

2,213 

6,323 
2.1 

18,254 
6.0 

16,284 

5.4 

19,031 
6.3 

20,214 
6.7 

18,542 

16,157 
5.3 

Percent  distribution' 

4. 

Other  assaults                 

Forgery  and  counterfeiting 

Fraud 

90,034 
12,295 
81,655 
2,969 

16,503 
28,286 
21,821 

5,870 

14,547 
99,740 
3.871 
15,261 
330,158 

48,935 
67,060 
34,907 
1,509 
349,885 
530 
1,479 
23,367 

3,801 

105 

131 

8 

625 
5,275 
612 

12 

1.037 

1,254 

7 

24 
71 

894 
235 
1.219 
82 
8,138 
63 
382 
8,794 

11.910 
888 
930 

3,127 
12,215 
2,743 

2,370 

8,653 

70 

181 

3,942 

14,956 
2,241 
5,104 
341 
31,702 
210 
1,479 
23,367 

78,124 
11,407 
80,725 
2,827 

13,376 
16,071 
19.078 

5,787 

12,177 
91,087 
3,801 
15,080 
326,216 

33,979 
64,819 
29,803 
1,168 
318,183 
320 

286 

788 
30 

26 

922 
10 
14 

102 

1,536 

106 

1 

264 
130 

2,593 

92 

105 

7 

492 
2,951 
476 

678 

1,098 

7 

14 

46 

801 
199 
870 
65 
5,911 
34 
323 
7,153 

2,190 
109 
126 
12 

634 
2,174 
493 

8 

461 
1,507 

25 
147 

2,055 
325 
895 
83 
6,245 
51 
335 
6.731 

2,750 
242 
212 
37 

846 
2,470 
708 

24 

412 
2,432 
19 
50 
966 

4,542 
598 
1,269 
88 
7,879 
39 
417 
5,567 

3,169 
432 
461 
85 

1,022 
2,296 
930 

39 

460 

3,460 

32 

2.758 

7,465 
1,083 

1,721 
88 

9,440 
57 
345 

2,275 

2,964 

576 

1,163 

99 

1,108 
1,822 
1,139 

174 

395 

4,701 

56 

271 
6.463 

8,376 
2,027 
1,885 

87 
13,346 

26 

3,179 
644 

1.953 
109 

1.091 
1,326 
1,096 

251 

421 

5,221 

60 

310 
9,120 

6,795 
2,337 
1,897 

95 
15,671 

20 

.1,49 
69 

2,78 

Stolen  property,  buying,  receiving, 

possessing  

Vandalism 

Weapons;  carrying,  possessing,  etc 

Prostitution  and  commercialized  vice 

Sex  offenses  (except  forcible  rape  and 
prostitution)               

98 
1,1! 

l.K 

31 

4( 

5.3- 

31 
11,0* 

4,s: 
:.6 

l.S. 

i 

17,2: 

Offenses  against  family  and  children 

21 

26 
11 
96 

719 
260 

6 

67 
25 
253 
10 

1,508 
21 
52 

1,381 

All  other  offenses  (except  traffic) 

Suspicion 

Curfew  and  loitering  law  violations 

Runaways              

49. —  Suburban  County  Arrests,  Distribution  by  Age,  1986  —  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 

71,406 
4.6 

69,711 

4.5 

303.627 
19.5 

210,225 
13.5 

138,574 
8.9 

82,534 
5.3 

50,267 
3.2 

31,215 

2.0 

20,392 
1.3 

12,418 

.8 

10,787 

4.5 

4.6 

der  and  nonnegligent 

anslaughter 

148 

145 

145 

110 

583 

387 

312 

186 

108 

64 

40 

28 

44 

ible  rape                   

237 

241 

216 

21C 

1.003 

750 

541 

295 

183 

110 

73 

35 

35 

bery       

909 

843 

887 

741 

2.909 

1,744 

836 

337 

152 

72 

29 

11 

22 

ravated  assault 

2,103 

2,195 

2,195 

2,267 

10,106 

7,127 

4,833 

2.860 

1,879 

1,142 

653 

420 

388 

zlary 

3,120 

2,849 

2,603 

2,316 

8.685 

4.984 

2,491 

1,099 

495 

250 

116 

52 

52 

.eny-theft 

5,649 

5,167 

5,077 

4,692 

19,894 

14,872 

9,269 

5,152 

3,113 

2.041 

1,467 

997 

1.189 

982 

869 

785 

725 

2,640 

1,583 

828 

470 

236 

124 

58 

35 

29 

m 

89 

75 

85 

68 

338 

226 

187 

103 

86 

41 

22 

14 

13 

Violent  crime2 

3,397 

3.424 

3,443 

3.328 

14,601 

10.008 

6,522 

3,678 

2,322 

1,388 

795 

494 

489 

4.7 

7,801 
3.4 

2,456 
1.1 

1,663 

.7 

1,098 

.5 

1,283 

Percent  distribution1  

4.3 

3.9 

3.7 

13.6 

9.4 

5.5 

2.9 

1.7 

Crime  Index  total4 

13,237 

12,384 

11.993 

11,129 

46,158 

31.673 

19,297 

10,502 

6,252 

3,844 

2,458 

1,592 

1,772 

4.4 

4.1 

4.0 

3.7 

15.2 

10.4 

6.4 

3.5 

2.1 

1.3 

.8 

.5 

.6 

assaults 

12,842 
1,839 

8,612 

1,899 
125 

1,129 
68 

654 
41 

726 
31 

ery  and  counterfeiting 

753 

656 

660 

690 

2.655 

565 

300 

id 

3,464 

3,809 

3,875 

4,083 

18.870 

15,399 

11,322 

6.686 

3,549 

1,929 

964 

504 

371 

ezzlement                   

111 

159 

133 

142 

706 

450 

347 

218 

104 

93 

28 

13 

9 

n  property;  buying,  receiving. 

(ssessing 

917 

825 

802 

701 

2.749 

1,802 

1,078 

569 

343 

182 

127 

70 

32 

ialism 

1,065 

1,015 

946 

822 

3,292 

1,968 

1,135 

635 

374 

204 

134 

76 

71 

pons;  carrying,  possessing,  etc. 

1.094 

1,065 

1,095 

1,015 

4,162 

2.746 

1,832 

1,115 

705 

419 

244 

133 

150 

titution  and  commercialized  vice 

334 

398 

366 

379 

1,562 

949 

481 

241 

140 

77 

61 

27 

33 

offenses  (except  forcible  rape 

d  prostitution) 

461 

496 

462 

466 

2,167 

1.907 

1,623 

1.113 

737 

490 

375 

270 

333 

5  abuse  violations 

5,708 

5,776 

5,760 

5,752 

23.895 

14,588 

7,704 

3.441 

1,607 

772 

463 

206 

149 

bling            

102 

95 

120 

116 

524 

546 

512 

491 

369 

266 

205 

H8 

145 

lses  against  family  and  children 

492 

587 

567 

710 

3,559 

3,217 

2,421 

1,350 

663 

288 

153 

61 

49 

ing  under  the  influence 

14,738 

16,096 

16,630 

16,519 

73,896 

54,346 

38,611 

25,116 

16,506 

11,114 

7,762 

4,772 

3,463 

1,825 

1,100 
7,325 
2,655 

248 

154 

165 

4,832 

3,252 
1,065 

2,240 

1,620 

1.724 

6,127 

4,046 

248 

238 

17,742 

49,364 

17,924 

10,676 

6,238 

3,882 

2.394 

2,255 
2 

ew  and  loitering  law  violations 

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

^Violent  crimes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  ass 
Property  crimes  are  offenses  of  burglary,  larceny- theft,  motor  vehicle  theft,  and  i 
'includes  arson. 


Tabic  50. —  Suburban  County  Arrests  of  Persons  under  15,  18,  21,  and  25  Years  of  Age,  1986 
[1,093  agencies;   1986  estimated  population  39,699,000] 


Total 
ages 

Number  of  persons  arrested 

Percent  of  total  all  ages 

Offense  charged 

Under  15 

Under  18 

Under  21 

Under  25 

Under 
15 

Under 
18 

Under 
21 

Under 

25 

1,554,259 

59,559 

208,973 

410,767 

694,220 

3.8 

13.4 

26.4 

Murder  and  nonneghgent  manslaughter 

Forcible  rape 

Robbery   

Aggravated  assault        

2,852 
5.220 
14,808 
49.352 
66,716 
141.047 
20,816 
2,766 

10 
197 
485 
1,733 
7,664 
14.355 
1,715 
631 

170 
693 
2,335 
5,652 
23,831 
40,948 
7.619 
1,071 

552 
1,291 
5,316 
11.184 
37,604 
62,468 
11,452 
1,419 

1,100 
2,195 
8,696 
19,944 
48,492 
83.053 
14,813 
1,736 

3.8 
3.3 
3.5 
11.5 
10.2 
8.2 
22.8 

60 
13.3 
15.8 
11.5 
35.7 
29.0 
36.6 
38.7 

19.4 
24.7 
35.9 
22.7 
56.4 
44.3 
55.0 
51.3 

38 
42 
58 
4C 

Arson 

62 

Violent  crime1 

Property  crime2 

72,232 
231,345 

2,425 
24.365 

8,850 
73,469 

18,343 
112,943 

31,935 
148,094 

3.4 
10.5 

12.3 
31.8 

25.4 
48.8 

44 
64 

303,577 

26,790 

82,319 

131.286 

180,029 

8.8 

27.1 

43.2 

90,034 
12,295 
81,655 
2,969 
16,503 
28,286 
21.821 

5,870 
14,547 
99,740 

3,871 
15,261 
330,158 

48,935 
67,060 
34.907 
1,509 
349,885 
530 
1.479 
23,367 

3,801 

105 

131 

8 

625 
5,275 
612 

12 
1,037 
1,254 
7 
24 
71 

894 
235 
1,219 
82 
8.138 
63 
382 
8,794 

11,910 

888 

930 

142 

3.127 

12,215 

2,743 

83 
2,370 
8,653 

70 

3,942 

14,956 
2,241 
5,104 
341 
31,702 
210 
1,479 
23,367 

21,545 
2,804 
6,830 
456 
6,306 

16,549 
6.046 

822 
3.647 
23,919 
262 
1.144 
30,589 

34,955 
9,215 
10.718 
605 
77,945 
278 
1,479 
23,367 

37,594 
5,563 

22,061 
1,001 
9,551 

20,397 

10,315 

2,299 
5,532 

46,915 
695 
3.500 

94,572 

40,338 

21,807 

17,721 

849 

148,288 

347 

1,479 

23,367 

4.2 
.9 
.2 
.3 

3.8 

2.8 

.2 
7.1 
1.3 

.2 

.2 

C) 

1.8 

3.5 
5.4 
2.3 
11.9 
25.8 
37.6 

13.2 
7.2 
1.1 
4.8 
18.9 
43.2 
12.6 

1.4 
16.3 
8.7 
1.8 
1.2 
1.2 

30.6 
3.3 
14.6 
22.6 
9.1 
39.6 
100.0 
100.0 

23.9 
22.8 
8.4 
15.4 
38.2 
58.5 
27.7 

14.0 
25.1 
24.0 
6.8 
7.5 
9.3 

71.4 
13.7 
30.7 
40.1 
22.3 
52.5 
100.0 
100.0 

Embezzlement 

Stolen  property;  buying,  receiving,  possessing 

33 
57 

Weapons;  carrying,  possessing,  etc                  

47 

Sex  offenses  (except  forcible  rape  and  prostitution) 

38 

Gambling                                                              

18 

Vagrancy  

All  other  offenses  (except  traffic) 

Suspicion 

Curfew  and  loitering  law  violations      

5( 

4; 
i« 

:-tenth  of  1  percent. 


rable  51. —  Suburban  County  Arrests,  Distribution  by  Sex,  1986 

1,093  agencies;  1986  estimated  population  39,699,000] 


Offense  charged 

Number  of  persons  arrested 

Percent 

s 

Percent  distribution1 

Total 

Male 

Female 

Total 

Male 

Female 

1,554,259 

1,288,595 

265,664 

82.9 

17.1 

100.0 

100.0 

100.0 

Murder  and  nonneghgenl  manslaughter 
orcible  rape 

2,852 
5,220 
14,808 
49,352 
66.716 
141,047 
20,816 
2,766 

2,523 
5.160 
13,751 
43,665 
61.795 
100,749 
18.896 
2,385 

329 
60 
1,057 
5,687 
4,921 
40,298 
1.920 
381 

88.5 
98.9 
92.9 
88.5 
92.6 
71.4 
90.8 
86.2 

11.5 
1.1 
7.1 

11.5 
7.4 

28.6 
9.2 

.2 
.3 
1.0 
3.2 
4.3 
9.1 
1.3 
.2 

3.4 
4.8 

7.8 

.1 

2.1 
1.9 
15.2 

' 

Violent  crime1 

Property  crime4 

72,232 
231,345 

65,099 
183,825 

7,133 
47,520 

90.1 
79.5 

20.5 

M 

5.1 

2.7 
17.9 

303,577 

248,924 

54.653 

82.0 

18.0 

19.5 

19.3 

20.6 

90,034 
12,295 
81.655 
2,969 

16.503 
28,286 
21,821 

5,870 

14,547 
99,740 
3,871 
15,261 
330,158 

48.935 
67.060 
34,907 
1,509 
349,885 
530 
1,479 
23,367 

76,493 
8,105 

41,742 
2,005 

14,715 
25.434 
20,286 

2.251 

13,804 
83,835 
3,328 
14.036 
293,221 

39,527 
60,428 
29,500 
1,317 
297,800 
456 
1,068 
10.320 

13,541 

4,190 

39,913 

964 

1,788 
2,852 
1,535 

3,619 

743 
15,905 

543 
1,225 
36.937 

9,408 

6.632 

5,407 

192 

52,085 

74 

411 

13,047 

85.0 
65.9 
51.1 
67.5 

89.2 
89.9 
93.0 

38.3 

94.9 
84.1 
86.0 
92.0 
88.8 

80.8 
90.1 
84.5 
87.3 
85.1 
86.0 
72.2 
44.2 

15.0 
34.1 
48.9 
32.5 

10.8 
10  1 

7.0 

61.7 

15.9 
14.0 
8.0 
11.2 

19.2 
9.9 
15.5 
12.7 
14.9 
14.0 
27.8 
55.8 

5.8 
.8 
5.3 

.2 

1.1 
1.8 

.4 

6.4 

.2 
1.0 
21.2 

3.1 

4.3 
2.2 
.1 
22.5 
(J) 

1.5 

5.9 
.6 

3.2 
.2 

1.1 
2.0 
1.6 

.2 

1.1 
6.5 
.3 
1.1 
22.8 

3.1 
4.7 
2.3 
1 
23.1 
<:) 

5.1 
1.6 
15.0 

orgery  and  counterfeiting 

mbezzlement 

olen  property;  buying,  receiving. 

.6 

1.4 

.3 
6.0 
.2 
.5 
13.9 

3.5 
2.5 
2.0 

.1 
19.6 
(2) 

.2 
4.9 

ex  offenses  (except  forcible  rape  and 

prostitution) 

rug  abuse  violations      

rambling 

Tenses  against  family  and  children 

riving  under  the  influence              

quor  laws 

runkenness                             

isorderly  conduct 

agrancy 

Jl  other  offenses  (except  traffic) 

jspicion                 

urfew  and  loitering  law  violations 

unaways 

Because  of 
2Less  than  < 
'Violent  crii 
4Property  cr 
includes  ar 


the  percentages  may  not  add  to  total. 
l  of  1  percent. 

offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault. 
!  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson 


205 


Table  52.  —  Suburban  County  Arrests,  Distribution  by  Race,  1986 

[1,077  agencies;   1986  estimated  population  39.581,000] 


Total  arrests 

Percent  distribution1 

Offense  charged 

Total 

White 

Black 

American 
Indian 

Alaskan 
Native 

Asian 

Pacific 
Islander 

Total 

White 

Black 

American 

Alaskan 
Native 

Asian 
Islander 

1,542,167 

1,233,994 

297,634 

5,887 

4,652 

100.0 

80.0 

19.3 

.4 

Murder  and  nonnegligent  manslaughter 

2.851 
5,213 
14,802 
49,309 
66,510 
140,520 
20,803 
2.764 

1,993 
3,440 
6,442 
34,418 
50,995 
99,592 
15,342 
2,270 

823 
1,742 
8,297 
14,509 
15,163 
39,701 
5,332 
479 

22 
16 
43 
239 
220 
450 
70 
7 

13 
15 
20 
143 
132 
777 
59 
8 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

69.9 
66.0 
43.5 
69.8 
76.7 
70.9 
73.7 
82.1 

28.9 
33.4 
56.1 
29.4 
22.8 
28.3 
25.6 
17.3 

.8 
.3 
.3 
.5 

.3 
.3 
.3 
.3 

Violent  crime2 

Property  crime' 

72,175 
230,597 

46.293 
168,199 

25,371 
60,675 

320 

747 

191 
976 

100.0 
100.0 

64.1 
72.9 

35.2 
26.3 

.4 
.3 

Crime  Index  total4 

302,772 

214,492 

86,046 

1.067 

1.167 

100.0 

70.8 

28.4 

4 

Other  assaults 

Forgery  and  counterfeiting 

Fraud  

Embezzlement 

Stolen  property;  buying,  receiving, 

possessing    

Vandalism  

Weapons;  carrying,  possessing,  etc 

89,841 
12,283 
81,596 

2,965 

16,444 
28,128 
21,790 

5,868 

14,526 
99,479 
3.851 
15,231 
321,030 

48,934 
66,900 
34,789 
1,509 
348,881 
530 
1,479 
23,341 

68,026 

9,028 
57,371 
2.160 

11.876 
24,551 
16.416 

3,797 

12.785 
75,592 
2,819 
10,516 
297.699 

44,896 
60,268 

28,735 
1,277 
269,174 
453 
1,313 
20,750 

21.201 

3,205 

23,978 

793 

4.462 
3,403 
5,237 

2,026 

1.646 
23.549 
1.020 
4,638 
21,107 

3,751 

5,908 

5.848 

219 

77,026 

74 

143 

2,354 

367 

26 

137 

2 

105 
56 

22 

60 

201 

2 

64 
858 

195 
596 
150 
13 
1,753 
2 

146 

247 
24 

110 
10 

57 
69 

23 

35 
137 
10 
13 
1.366 

92 

128 
56 

928 
1 
7 
91 

100.0 

100.0 
100.0 

100.0 

100.0 

100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
1000 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

75.7 
73.5 
70.3 
72.8 

72.2 
87.3 
75.3 

64.7 

88.0 
76.0 
73.2 
69.0 
92.7 

91.7 

90.1 
82.6 
84.6 
77.2 
85.5 
88.8 
88.9 

23.6 
26.1 
29.4 
26.7 

27.1 

12.1 
24.0 

34.5 

11.3 
23.7 
26.5 
30.5 

7.7 
8.8 
16.8 
14.5 
22.1 
14.0 
9.7 
10.1 

.2 
.2 
.1 

.3 

.3 

.2 
.1 
.4 
.3 

.4 
.9 
.4 
.9 
.5 
.4 
1.1 

Sex  offenses  (except  forcible  rape  and 

prostitution) 

Drug  abuse  violations    

Gambling 

Liquor  laws 

Drunkenness 

Disorderly  conduct 

Vagrancy    

All  other  offenses  (except  traffic) 

Suspicion 

Curfew  and  loitering  law  violations 

Runaways  

able  52.  —  Suburban  County  Arrests,  Distribution  by  Race,  1986  —  Continued 


Arrests  under  18 

Percent  distribution' 

Offense  charged 

Total 

White 

Black 

American 
Indian 

Alaskan 
Native 

Asian 

Pacific 
Islander 

Total 

White 

Black 

American 

Alaskan 
Native 

Islander 

208,544 

171,697 

35,161 

821 

865 

100.0 

82.3 

16.9 

.4 

urder  and  nonnegligeni  manslaughter 

170 
693 
2,335 
5,651 
23,819 
40,902 
7,619 
1,070 

128 
417 
911 
3,683 
19,825 
30,992 
5.660 
952 

41 
273 
1,416 
1,917 
3,830 
9,461 
1,908 
113 

6 

25 
88 
127 
20 

3 

3 
2 

26 
76 
322 
31 
2 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

75.3 
60.2 
39.0 
65.2 
83.2 
75.8 
74.3 
89.0 

24.1 
39.4 
60.6 
33.9 
16.1 
23.1 
25.0 
10.6 

6 

.3 
.4 
.4 
.3 
.3 
.3 

1 

3 
8 
4 

irceny-theft                   

8,849 

73,410 

5,139 
57,429 

3,647 
15,312 

31 
238 

32 
431 

100.0 
100.0 

58.1 
78.2 

41.2 
20.9 

.3 

.6 

82,259 

62,568 

18.959 

269 

463 

100.0 

76.1 

23.0 

.3 

.6 

her  assaults                                 

Drgery  and  counterfeiting                 

nbezzlement                                    

olen  property;  buying,  receiving, 

possessing 

11,902 
888 
930 
142 

3,127 
12,176 
2.743 

83 

2.369 

8,505 

70 

181 

3,868 

14.956 
2.231 
5.102 
341 
31,641 
210 
1.479 
23,341 

8,732 
787 
711 
103 

2.238 
10,969 

2,116 

57 

1.974 

6.849 

29 

164 

3,787 

14,596 
2,129 
4,308 
316 
27,014 
187 
1,313 
20,750 

3,070 
96 
217 
39 

853 
1,132 
599 

25 

375 
1,613 
41 
15 
64 

286 
78 
770 
24 
4,386 
22 
143 
2,354 

55 
2 
1 

6 

42 
9 

12 
25 

2 
8 

39 
24 
18 

144 
1 

16 
146 

45 
3 

30 
33 
19 

8 

18 

9 

35 

6 

97 

7 
91 

100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 

100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

73.4 
88.6 
76.5 
72.5 

71.6 
90.1 
77.1 

83.3 
80.5 
41.4 
90.6 
97.9 

97.6 
95.4 
84.4 
92.7 
85.4 
89.0 
88.8 
88.9 

25.8 
10.8 
23.3 
27.5 

27.3 
9.3 
21.8 

30.1 

15.8 
19.0 
58.6 
8.3 
1.7 

3.5 
15 .1 

7.0 
13.9 
10.5 

9.7 
10.1 

.5 
.2 
.1 

.2 
.3 

.3 

1.2 

.5 
.3 

.2 

.3 
1.1 
.4 
.3 
.5 
.5 
1.1 
.6 

.4 
.3 

1.0 
.3 

.7 

eapons;  carrying,  possessing,  etc 

ambling    .   .. 

.3 
.2 

.2 

isorderly  conduct 

1 

irfew,and  loitering  law  violations  

anaways 

.5 
.4 

Table  52. —  Suburban  County  Arrests,  Distribution  by  Race,  1986  —  Continued 


Arrests  18  and  over 

Percent  distribution' 

Offense  charged 

Total 

White 

Black 

American 
Indian 

Alaskan 
Native 

Pacific 

Islander 

Total 

White 

Black 

Amencan 
Indian 

Alaskan 
Native 

or 
Pacific 

Islander 

1,333,623 

1,062,297 

262,473 

5,066 

3,787 

100.0 

79.7 

19.7 

.4 

Murder  and  nonnegligent  manslaughter 

Forcible  rape 

Robbery 

Aggravated  assault                         

Burglary 

Larceny-theft 

2,681 
4,520 
12,467 
43,658 
42,691 
99,618 
13,184 
1,694 

1,865 
3,023 
5,531 
30.735 
31,170 
68,600 
9,682 
1,318 

782 
1.469 
6,881 
12,592 
11,333 
30,240 
3,424 
366 

22 
16 
37 
214 
132 
323 
50 

12 
12 
18 

117 
56 

455 
28 
6 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

69.6 
66.9 

70.4 
73.0 
68.9 
73.4 
77.8 

29.2 
32.5 
55.2 
28.8 
26.5 
30.4 
26.0 
21.6 

.8 

.3 
.5 
.3 
.3 

.2 

vi        -    2 

63,326 
157,187 

41,154 
110,770 

21,724 
45,363 

289 
509 

159 
545 

100.0 

100.0 

65.0 
70.5 

34.3 
28.9 

.5 
.3 

Crime  Index  total4 

220,513 

151,924 

67,087 

798 

704 

100.0 

68.9 

30.4 

.4 

77,939 
11,395 
80,666 
2,823 

13,317 
15,952 
19,047 

5,785 

12,157 
90,974 
3,781 
15,050 
317,162 

33,978 
64,669 

29,687 

1.168 

317,240 

320 

59,294 
8,241 

56,660 
2,057 

9,638 
13,582 
14,300 

3.740 

10,811 
68,743 
2,790 
10,352 
293,912 

30,300 
58,139 
24,427 

961 
242,160 

266 

18,131 

3,109 

23,761 

754 

3,609 
2,271 
4,638 

2,001 

1,271 

21,936 

979 

4,623 
21,043 

3,465 
5.830 
5,078 
195 
72,640 
52 

312 

24 

136 

2 

43 
63 

47 

48 

176 

2 

62 
850 

156 
572 
132 
12 
1,609 
1 

202 
21 
109 

10 

27 
36 
62 

23 

27 
119 
10 
13 
1,357 

57 
128 
50 

831 

100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

76.1 
72.3 
70.2 
72.9 

72.4 
85.1 
75.1 

64.6 

88.9 
75.6 
73.8 
68.8 
92.7 

89.2 
89.9 
82.3 
82.3 
76.3 
83.1 

23.3 
27.3 
29.5 
26.7 

27.1 
14.2 
24.4 

34.6 

10.5 
24.1 
25.9 
30.7 
6.6 

10.2 
9.0 
17.1 
16.7 
22.9 
16.3 

.2 
.2 

,3 

.4 

4 
.2 

.4 
.3 

.5 
.9 
.4 
1.0 
.5 

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 

Drunkenness 

Disorderly  conduct        

Vagrancy  

All  other  offenses  (except  traffic) 

Suspicion 

Curfew  and  loitering  law  violations 

Because  of  rounding,  the  percentages  may  not  add  to  total. 
"'Violent  crimes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggra\ated  assault 

Property  crimes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson 
'Includes  arson. 


Table  53. —  Suburban  County  Arrests,  Distribution  by  Ethnic  Origin,  1986 

[870  agencies;  1986  estimated  population  33,310,000] 


Total  all  ages 

Offense  charged 

Number  of  arrests 

Percent  distribution 

Total 

Hispanic 

Non- 

Total 

Hispanic 

Non- 
Hispanic 

1,266,559 

144,571 

1,121,988 

100.0 

11.4 

2.150 
3.853 
9.574 
38,195 
49.894 
107,050 
17.226 
2.358 

335 
443 
1,129 

4,882 
5,140 
7,339 
2,503 
115 

1,815 
3,410 
8,445 
33,313 
44,754 
99,711 
14,723 
2.243 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

15.6 
11.5 
11.8 

10.3 
6.9 

14.5 
4.9 

Aggravated  assault 

87.2 

Violent  crime1 

Property  crime2    

53,772 
176,528 

6,789 
15,097 

46,983 
161,431 

100.0 
100.0 

12.6 
8.6 

87.4 
91.4 

230,300 

21,886 

208,414 

100.0 

9.5 

76,870 
10,474 
70.392 
2.752 
14.222 
25,466 
17,818 

3.707 
12.493 
80,954 

3,481 
13,405 
284,921 

46,188 
61,698 
29,440 
1,471 
259,385 
510 
1.279 
19,333 

4,492 
565 
1,563 
76 
1,908 
1,351 
2,596 

479 
1,434 

13,315 
561 
600 

51,724 

2,342 

13,245 

1,803 

274 

23,185 

18 

59 

1,095 

72,378 
9,909 
68,829 

2.676 
12,314 
24,115 
15,222 

3,228 
11,059 
67,639 

2.920 
12,805 
233,197 

43,846 
48,453 
27,637 
1.197 
236,200 
492 
1,220 
18,238 

100.0 
100.0 
1 00.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

5.8 

2.2 
2.8 

13.4 
5.3 

14.6 

12.9 
11.5 

16.4 
16.1 
4.5 
18.2 

5.1 
21.5 
6.1 
18.6 
8.9 
3.5 
4.6 
5.7 

;orgery  and  counterfeiting 

Fraud                                               

94.6 
97.8 

Stolen  property;  buying,  receiving,  possessing 

86.6 

3ffenses  against  family  and  children 

95.5 

.iquor  laws    

94.9 

Vagrancy      

MI  other  offenses  (except  traffic) 
itispicion   

81.4 
91.1 
96.5 

See  footnotes  at  end  of  table 


209 


Table  53.  —  Suburban  County  Arrests,  Distribution  by  Ethnic  Origin,  1986  —  Continued 


Offense  charged 


Under  18  years  of  age 


Number  of  arrests 


Percent  distribution 


Murder  and  nonnegl 
Forcible  rape 
Robbery 
Aggravated  assault 

Burglary 

Larceny-theft 
Motor  vehicle  theft 


Other  assaults 

Forgery  and  counterfeiting 

Fraud  

Embezzlement 

Stolen  property,  buying,  receiving. 

Vandalism    

Weapons;  carrying,  possessing,  etc 


Sex  offenses  (except  forcible  rape  and  prostit 
Drug  abuse  violations 

Gambling 

Offenses  against  family  and  children 

Driving  under  the  influence 


Liquor  laws 

Drunkenness 

Disorderly  conduct 

Vagrancy  

All  other  offenses  (except  traffic) 

Suspicion    

Curfew  and  loitering  law  violations 
Runaways 

See  footnotes  at  end  of  table. 


17.582 
30,789 
6,159 


2,665 
10,708 
2,290 


105 

100.0 

440 

100.0 

1,543 

100.0 

3,715 

100.0 

16.050 

100.0 

29,124 

100.0 

5,486 

100.0 

925 

100.0 

5,803 

100.0 

51,585 

100.0 

8,624 

100.0 

717 

100.0 

722 

100.0 

109 

1000 

2,367 

100.0 

10,156 

100.0 

1,964 

[00.0 

56 

100.0 

1,890 

100.0 

6,247 

100.0 

56 

100.0 

1,665 

100.0 

4,141 

100.0 

282 

100.0 

3,560 

100.0 

198 

100.0 

1,220 

100.0 

8,238 

100.0 

210 


rable  53.  —  Suburban  County  Arrests,  Distribution  by  Ethnic  Origin,  1986  —  Continued 


18  years  of  age  and  over 

Number  of  arrests 

Percent  distribution 

Total 

Hispanic 

Non- 
Hispanic 

Total 

Hispanic 

Non- 
Hispanic 

1,097,855 

132,144 

965,711 

100.0 

12.0 

88.0 

2.024 
3,367 
7.851 
34,028 
32,312 
76.261 
11,067 
1,400 

314 

397 

949 

4,430 

3,608 

5,674 

1,830 

82 

1,710 
2,970 
6,902 
29,598 
28,704 
70,587 
9.237 
1,318 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

15.5 
11.8 
12.1 
13.0 
11.2 

7.4 
16.5 

5.9 

84.5 
88.2 
87.9 
87.0 
88.8 
92.6 
83.5 
94.1 

♦arceny-theft 

Violent  mme' 

47.270 
121,040 

6,090 
11,194 

41,180 
109,846 

100.0 
100.0 

9.2 

87.1 
90.8 

Property  crime2 

168,310 

17,284 

151,026 

100.0 

10.3 

89.7 

67,593 
9,725 
69,630 
2,639 
11.557 
14.758 
15,528 

3.647 
10.446 
73.712 

3,421 
13.239 
281.339 

32.033 
59.595 
25.006 
1,156 
234,213 
308 

3,839 
533 

1.523 
72 

1,610 
799 

2,270 

475 
1,277 

12,320 
557 
593 

51.170 

1,677 
12,807 
1,510 
241 
21,573 
14 

63,754 
9,192 

68,107 
2,567 
9,947 

13,959 

13,258 

3,172 
9.169 
61.392 
2.864 
12.646 
230,169 

30,356 
46,788 
23,496 

915 
212.640 

294 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

5.7 
5.5 
2.2 
2.7 

13.9 
5  4 

14.6 

13.0 
12.2 
16.7 
16.3 
4.5 

5.2 
21.5 
6.0 

208 

45 

94.3 
94.5 
97.8 
97.3 
86.1 
94.6 
85.4 

87.0 
87.8 
83.3 
83.7 
95.5 
81.8 

94.8 
78.5 
94.0 
79.2 
90.8 
95.5 

andalism 

rambling         

Jl  other  offenses  (except  traffic) 

uspicion 

urfew  and  loitering  law  violations 

unaways      

Table  54. —  Rural  County  Arrest  Trends,  1985-1986 

[2,137  agencies;   1986  estimated  population  21,719,000] 


Number  of  persons  arrested 

Offense  charged 

Total  all  ages 

Under  18  years  of  age 

18  years  of  age  and  over 

1985 

1986 

cnlng"' 

1985 

1986 

change' 

1985 

1986 

Percent 

751,765 

776,001 

+3.2 

67,624 

70,749 

+4.6 

684,141 

705,252 

>nnegl,gent  tnans.aughter 

1,325 
2,330 
2,339 
19,685 
30,137 
39,772 
7,169 
1,316 

1,322 
2,327 
2,196 
20,765 
30,158 
39,604 
7.117 
1,369 

-.2 

-6.1 

+  5.5 

-.4 
-.7 
+4.0 

84 

234 

261 

1,198 

9,643 

8,900 

2,435 

279 

244 
216 
1,283 
9,418 
8,921 
2,486 
327 

-3.6 
+4.3 

-17.2 
+  7.1 
-2.3 
+.2 
+2.1 

+  17.2 

1,241 
2,096 
2,078 
18.487 
20,494 
30,872 
4,734 
1.037 

1,241 
2,083 
1,980 
19,482 
20,740 
30,683 
4,631 
1,042 

Forcible  rape                                   

Robbery                                               

-.6 
-4.1 

25,679 

78,394 

26,610 

78,248 

+  3.6 
-.2 

1,777 
21,257 

1.824 
21,152 

+2.6 
-.5 

23,902 
57,137 

24,786 
57,096 

104,073 

104,858 

+  .8 

23,034 

22,976 

-.3 

81,039 

81,882 

40,447 

6,738 

48,196 

942 

5,691 
13,402 
7,633 

208 

6,027 

42,478 

828 

8,715 

205,606 

38,228 

51,008 

20,886 

220 

143,017 

348 

491 

6,931 

44,037 
7.080 

48,728 
1,070 

5,953 
14,016 
8,219 

190 

6,135 

41,513 

624 

8,218 

210,478 

42,740 

51,819 

22,836 

244 

149,288 

491 

685 

7,270 

+  8.9 
+  5.1 

+  13.6 

+4.6 
+4.6 

+  7.7 

-8.7 

+  1.8 
-2.3 
-24.6 

-5.7 
+2.4 

+  11.8 
+  1.6 

+9.3 
+  10.9 

+4.4 
+41.1 
+39.5 

+4.9 

2,640 
590 
369 

15 

844 
4,864 

534 

10 

847 

2,789 

13 

137 
2,788 

8,414 
1,052 
1,717 

48 
9,497 

65 
491 
6.931 

2,840 

585 

341 

9 

840 

4.916 

564 

19 

873 

2,485 

12 

126 
3,239 

9,671 
1.178 
2,133 
58 
9,929 
114 
685 
7,270 

+7.6 

-.8 

-7.6 

-40.0 

-.5 
+  1.1 
+5.6 

+90.0 

+3.1 
-10.9 
-7.7 
-8.0 
+  16.2 

+  14.9 
+  12.0 
+24.2 
+20.8 

+4.5 
+75.4 
+39.5 

+4.9 

37,807 

6,148 

47,827 

927 

4,847 
8,538 
7,099 

198 

5,180 
39,689 

815 

8,578 

202,818 

29,814 
49,956 
19,169 

172 
133,520 

283 

41,197 
6,495 

48,387 
1,061 

5,113 

9,100 
7,655 

171 

5,262 

39,028 

612 

8,092 

207,239 

33.069 
50,641 
20,703 
186 
139,359 
377 

Embezzlement   

Stolen  property;  buying, 

+  14.5 

Sex  offenses  (except  forcible 

Suspicion  (not  included  in  totals) 

+33.2 

Runaways 

Violent  crimes  i 
includes  arson. 


212 


rable  55.  — Rural  County  Arrest  Trends,  Sex,  1985-1986 

2,137  agencies;   1986  estimated  population  21,719,000] 


Males 

Females 

Total 

Under  18 

Total 

Under  18 

1985 

1986 

Percent 

change 

1985 

1986 

chanTe 

1985 

1986 

J5j 

1985 

1986 

Percent 

change 

641,077 

659,602 

+2.9 

54,370 

56,823 

+4.5 

110,688 

116,399 

+5.2 

13,254 

13,926 

+5.1 

durder  and  nonnegligent 

1.157 
2,308 
2,158 
17,511 
28,363 
31,868 
6,502 
1,149 

1,125 
2,298 
2,025 
18,406 
28,147 
31,735 
6,461 
1,196 

-2.8 
-.4 
-6.2 

+  5.1 
-.8 

-.6 

+4.1 

74 

226 

247 

1,027 

9,057 

7,409 

2,147 

256 

72 
236 
198 
1,094 
8,741 
7,495 
2,215 
297 

-2.7 
+4.4 

-19.8 
+6.5 
-3.5 
+  1.2 
+3.2 

+  16.0 

168 
22 

181 
2,174 
1,774 
7,904 
667 
167 

197 
29 

171 
2,359 
2,011 
7,869 

656 

173 

+  17.3 
+31.8 
-5.5 
+8.5 
+  13.4 

-1.6 
+  3.6 

10 
8 
14 
171 
586 
1,491 
288 
23 

9 
8 

18 
189 
677 
1,426 
271 
30 

-10.0 

+28.6 
+  10.5 
+  15.5 
-4.4 
-5.9 
+30.4 

urglary  

Violent  crime' 

23,134 
67,882 

23,854 
67,539 

+3.1 
-.5 

1,574 
18,869 

1,600 
18,748 

+  1.7 
-.6 

2,545 
10,512 

2,756 
10.709 

+8.3 
+  1.9 

203 
2,388 

224 
2,404 

+  10.3 

Crime  Index  total3 

91,016 

91,393 

+  .4 

20,443 

20,348 

-.5 

13,057 

13,465 

+  3.1 

2,591 

2,628 

+  1.4 

34,723 

4,686 

25,466 

697 

5,074 
12,150 
7,181 

98 

5,809 

36,561 

692 

8,153 

185,865 

32,010 

47,014 

17,999 

175 

122,191 

303 

321 

3.196 

37,606 

4,848 

25,785 

756 

5,296 
12,646 
7,750 

79 

5,899 

35,548 

529 

7,573 

190,083 

35,540 

47,639 

19,529 

209 

127,135 

429 

469 

3,290 

+8.3 
+3.5 
+  1.3 
+8.5 

+4.4 

+7.9 

-19.4 

+  1.5 
-2.8 
-23.6 
-7.1 
+2,3 

+  11.0 
+  1.3 
+  8.5 

+  19.4 
+4.0 

+41.6 

+46.1 
+2.9 

2,132 
466 
207 
12 

751 

4,502 

500 

5 

799 

2,364 

13 

106 
2,434 

6,180 

915 

1,375 

34 

7,615 

49 

321 

3,196 

2,243 

432 

199 

4 

732 

4,545 

539 

11 

825 

2,088 

12 

2,849 

7,230 
1,020 
1.736 

53 
8,104 

98 
469 
3,290 

+5.2 
-7.3 
-3.9 
-66.7 

-2.5 
+  1.0 
+7.8 

+  120.0 

+3.3 
-11.7 

-7.7 
-11.3 
+  17.1 

+  17.0 
+  11.5 
+26.3 
+  55.9 

+6.4 
+  100.0 
+46.1 

+2.9 

5,724 

2,052 

22,730 

245 

617 
1,252 
452 

110 

218 

5,917 

136 

562 

19,741 

6,218 

3,994 

2,887 

45 

20,826 

45 

170 

3,735 

6,431 

2,232 

22,943 

314 

657 
1,370 
469 

111 

236 

5,965 

95 

645 

20,395 

7,200 

4,180 

3,307 

35 

22,153 

62 

216 

3,980 

+  12.4 

+8.8 

+.9 

+28.2 

+6.5 
+9.4 
+3.8 

+  .9 

+8.3 

+.8 

-30.1 

+  14.8 

+3.3 

+  15.8 
+4.7 
+  14.5 
-22.2 
+6.4 
+37.8 
+27.1 
+6.6 

508 

124 

162 

3 

93 
362 
34 

5 

48 
425 

597 
153 
142 

5 

108 
371 

25 

8 

48 
397 

+  17.5 
+23.4 
-12.3 
+66.7 

+  16.1 
+2.5 
-26.5 

+60.0 

tolen  property;  buying,  receiving, 
possessing 

rostitution  and  commercialized  vice  

ex  offenses  (except  forcible  rape  and 

rug  abuse  violations 

-6.6 

Iffenses  against  family  and  children 

31 
354 

2,234 
137 
342 
14 
1,882 
16 
170 
3,735 

32 
390 

2,441 

158 

397 

5 

1,825 

16 

216 

3,980 

+3.2 
+  10.2 

+9.3 
+  15.3 
+  16.1 
-64.3 

-3.0 

agrancy              

JI  other  offenses  (except  traffic) 
uspicion  (not  included  in  totals) 

tafew  and  loitering  law  violations 

unaways  

+27.1 
+6.6 

'Violent  c 
Property 
'includes 


213 


Table  56.  —  Rural  County  Arrests,  Distribution  by  Age, 
[2,384  agencies;   1986  estimated  population  24,242,000] 


Ages 

Ages 

Age 

Offense  charged 

ages 

15 

under 

18  and 

Under 

10 

10-12 

13-14 

15 

,6 

.7 

18 

19 

20 

TOTAL 

834,593 

18,094 

76,705 

757,888 

1,595 

3,936 

12,563 

13,232 

19,148 

26,231 

36,230 

37,671 

39,070 

100.0 

2.2 

9.2 

90.8 

.2 

.5 

1.5 

1.6 

2.3 

3.1 

4.3 

4.5 

Murder  and  nonnegligenl  manslaughter 

1.431 

13 

87 

1,344 

3 

10 

19 

23 

32 

43 

53 

59 

Forcible  rape                                 

2.504 

66 

246 

2,258 

2 

15 

49 

40 

63 

77 

96 

104 

123 

Robbery      

2,392 

13 

231 

2,161 

1 

12 

40 

58 

120 

173 

149 

157 

Aggravated  assault                       

22,256 

300 

1,358 

20.898 

27 

53 

220 

180 

373 

505 

690 

801 

923 

Burglary                              

32,550 

3,119 

10.070 

22,480 

258 

820 

2,041 

1,838 

2,318 

2,795 

3.387 

2,597 

2,246 

Larceny-theft      

42,913 

2,956 

9,610 

33,303 

247 

755 

1,954 

1,697 

2,219 

2.738 

3,244 

2,903 

2.407 

Motor  vehicle  theft 

7,758 

581 

2,653 

5,105 

11 

56 

514 

665 

714 

693 

601 

503 

434 

1.495 

184 

359 

1,136 

49 

60 

75 

53 

51 

71 

78 

79 

64 

Violent  crime    

28,583 

392 

1,922 

26,661 

29 

72 

291 

279 

517 

734 

1.002 

1,107 

1.262 

Percent  distribution'              

100.0 

1.4 

6.7 

93.3 

.1 

.3 

1.0 

1.0 

1.8 

2.6 

3.5 

3.9 

4.4 

Property  crime3 

84.716 

6,840 

22,692 

62,024 

565 

1,691 

4,584 

4,253 

5,302 

6,297 

7.310 

6,082 

5.151 

Percent  distribution1  

100.0 

8.1 

26.8 

73.2 

.7 

2.0 

5.4 

5.0 

6.3 

7.4 

8.6 

7.2 

6.1 

Crime  Index  total*1 

113,299 

7,232 

24.614 

88,685 

594 

1,763 

4,875 

4,532 

5,819 

7,031 

8,312 

7,189 

6.413 

Percent  distribution1 

100.0 

6.4 

21.7 

78.3 

.5 

1.6 

4.3 

4.0 

5.1 

6.2 

7.3 

6.3 

5.7 

Other  assaults 

47,254 

727 

3.005 

44,249 

75 

202 

450 

465 

741 

1,072 

1,629 

1,822 

2,073 

7,606 

6,988 

8 

64 

93 

144 

295 

354 

456 

480 

Fraud 

51,241 

34 

368 

50,873 

13 

3 

18 

38 

67 

229 

737 

1.375 

1,744 

Embezzlement 

1,188 

1 

9 

1,179 

1 

1 

7 

21 

34 

56 

Stolen  property;  buying,  receiving. 

possessing 

6,458 

188 

932 

5,526 

7 

31 

150 

168 

272 

304 

488 

433 

405 

Vandalism 

15,045 

1,980 

5,175 

9,870 

369 

601 

1,010 

858 

1,094 

1,243 

1,148 

924 

753 

Weapons;  carrying,  possessing,  etc 

8,820 

136 

607 

8,213 

6 

27 

103 

96 

144 

231 

318 

329 

389 

5 

3 

4 

Sex  offenses  (except  forcible  rape 

and  prostitution) 

6,589 

369 

914 

5,675 

26 

97 

246 

170 

180 

195 

230 

211 

180 

347 

2.705 

51 

285 

405 

729 

1,224 

2.174 

2.473 

j 

Offenses  against  family  and  children 

9,097 

28 

8,961 

3 

3 

22 

19 

27 

62 

189 

206 

275 

Driving  under  the  influence 

224,658 

89 

3.432 

221,226 

37 

10 

42 

126 

861 

2,356 

5,022 

6,962 

8,234 

Liquor  laws 

45.626 

731 

10.655 

34,971 

52 

54 

625 

1,360 

3,123 

5,441 

6,129 

4.760 

3,798 

Drunkenness 

56.155 

90 

1,310 

54,845 

3 

9 

78 

183 

320 

717 

1,795 

2.124 

2,503 

Disorderly  conduct 

24,933 

491 

2,253 

22,680 

40 

125 

326 

364 

567 

831 

1.231 

1.302 

1.255 

Vagrancy      

279 

15 

69 

210 

1 

1 

13 

14 

13 

27 

20 

15 

10 

All  other  offenses  (except  traffic)    

161,846 

2,547 

10,919 

150,927 

278 

538 

1,731 

1,813 

2,777 

3,782 

6,578 

7.316 

7.976 

Suspicion 

552 

47 

120 

432 

8 

11 

28 

22 

27 

24 

28 

25 

33 

Curfew  and  loitering  law  violations 

882 

234 

882 

2 

36 

196 

215 

234 

199 

Runaways   

7,951 

2,718 

7,951 

61 

360 

2.297 

2,280 

1,999 

954 

214 


ible  56.  —  Rural  County  Arrests,  Distribution  by  Age,  1986  —  Continued 


Age 

21 

22 

23 

24 

25-29 

30-34 

35-39 

40-44 

45-49 

50-54 

55-59 

60-64 

"ovef 

39,225 

39,381 

38,922 

37,88 

156,788 

112,856 

80,043 

50,472 

32,922 

22,022 

15,147 

4.7 

4.7 

4.7 

4. 

18.8 

13.5 

9.6 

6.0 

3.9 

2.6 

1.8 

1.2 

rder  and  nonneghgent  manslaughter 

49 

59 

55 

6C 

285 

208 

151 

105 

65 

rcible  rape         

106 

111 

100 

13. 

426 

364 

279 

168 

82 

55 

172 

138 

139 

12: 

494 

281 

191 

81 

23 

rravated  assault 

947 

1,010 

1,065 

1,07! 

4,494 

3,284 

2.441 

1,611 

952 

584 

rglary 

1.846 

1,559 

1,40* 

1, 136 

3,955 

2,062 

1,151 

554 

252 

1.645 

341 

1.57C 
247 

5,985 
953 

3,980 
581 

2,842 
329 

1,681 
221 

1,020 
98 

667 
88 

354 

313 

29 

57 

46 

56 

66 

177 

140 

139 

89 

53 

43 

22 

14 

1,274 

1.318 

1,359 

1.401 

5,699 

4,137 

3,062 

1.965 

19.9 
11.070 

14.5 
6,763 

10.7 

4,461 

6.9 
2,545 

3.9 
1,423 

2.5 

1.7 

Property  crime'       

4,484 

3.813 

3,450 

3.019 

Percent  distribution1 

5.3 

4.5 

4.1 

3.6 

13.1 

8.0 

5.3 

3.0 

1.7 

.8 

.5 

.5 

Crime  Index  tolal' 

5.758 

5.131 

4,809 

4,420 

16.769 

10,900 

7.523 

4,510 

2.545 

5.1 

4.5 

4.2 

3.9 

14.8 

9.6 

6.6 

4.0 

2.2 

1.5 

1.0 

.7 

2,096 

2,173 

2.280 

2,260 

9,655 

7,241 

4,969 

3,128 

2,022 

1,197 

757 

479 

445 

511 

408 

412 

1,539 

940 

626 

404 

193 

123 

2,053 

2,378 

2,299 

2.41C 

11,366 

9,381 

7,305 

4,262 

2,417 

1,514 

47 

40 

60 

68 

234 

195 

149 

121 

63 

en  property;  buying,  receiving. 

assessing       

382 

335 

307 

317 

1,017 

708 

462 

275 

162 

97 

dalism          

674 

554 

542 

530 

1,954 

1,129 

710 

384 

225 

138 

81 

ipons;  carrying,  possessing,  etc. 

431 

434 

379 

404 

1,773 

1,194 

952 

573 

396 

242 

170 

108 

121 

titution  and  commercialized  vice 

8 

10 

19 

2 

offenses  (except  forcible  rape 

d  prostitution) 

195 

172 

203 

197 

907 

900 

796 

546 

363 

220 

186 

g  abuse  violations 

2,484 

2,730 

2,767 

2,629 

10,872 

6,690 

3,594 

1.467 

719 

400 

201 

nbling 

11 

14 

15 

14 

74 

90 

96 

84 

79 

75 

nses  against  family  and  children 

311 

359 

421 

442 

1,989 

1,858 

1,405 

738 

388 

9,992 

10,440 

10,697 

10,652 

46,401 

35,095 

25,781 

17,345 

12,005 

8,439 

6,427 

4,049 

1,940 

1,690 

1,355 

1,261 

4,587 

2,860 

2,011 

1.421 

1.059 

767 

548 

371 

nkenness       

2,604 

2,721 

2,624 

2,498 

10,715 

7,847 

5,745 

4,178 

3,190 

2,474 

rderly  conduct 

1,388 

1,252 

1,253 

1,168 

4,565 

3,162 

2,110 

1,415 

1.015 

603 

433 

250 

278 

12 

14 

10 

11 

28 

30 

23 

14 

other  offenses  (except  traffic) 

8,372 

8,400 

8,461 

8,156 

32,210 

22,546 

15,725 

9,575 

6,042 

3,842 

2.503 

1,619 

1.606 

22 

23 

21 

29 

88 

42 

Few  and  loitenng  law  violations      

aways 

1 

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. 


215 


Table  57.  — Rural  County  Arrests  of  Persons  under  15,  18,  21,  and  25  Years  of  Age,  1986 
[2,384  agencies;   1986  estimated  population  24,242,000] 


Number  of  persons  arrested 


Murder  and  i 
Forcible  rape 
Robbery 
Aggravated  assault 

Burglary 

Larceny-theft 
Motor  vehicle  theft 
Arson 


gligent  manslaughte 


Violent  crime1 
Property  crime2 


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  loitenng  law  violations 

Runaways 


'Violent  cri 
2Property  c: 
'Includes  ai 
4Less  than 


2,504 
2,392 
22,256 
32,550 
42,913 
7,758 
1,495 


47,254 
7,606 
51,241 


45.626 

56,155 

24,933 

279 

161,846 

552 

882 


7,872 
24,249 
25,501 

5,446 


3,005 

8,529 

17,338 

618 

1,908 

3,684 

368 

4.224 

13,364 

9 

120 

335 

932 

2,258 

3,599 

5,175 

8,000 

10,300 

607 

1.643 

3.291 

19 

40 

74 

914 

1.535 

2,302 

2,705 

9,345 

19,955 

12 

33 

87 

136 

806 

2.339 

3,432 

23,650 

65,431 

0,655 

25,342 

31,588 

1,310 

7,732 

18,179 

2.253 

6,041 

11,102 

able  58.  — Rural  County  Arrests,  Distribution  by  Sex,  1986 

1,384  agencies;   1986  estimated  population  24,242,000] 


Number  of  persons  arrested 

ir 

female 

Percent  distribution' 

Total 

Male 

Female 

Total 

Male 

Female 

TOTAL 

834,593 

709.599 

124,994 

85.0 

15.0 

100.0 

100.0 

100.0 

urder  and  nonnegtigent  manslaughter 

orcible  rape 

obbery 

5gravated  assault 

urglary                 

arceny-theft 

otor  vehicle  theft                                 

1,431 
2.504 
2,392 
22,256 
32,550 
42.913 
7,758 
1,495 

1,219 
2,471 
2,211 
19,723 
30,398 
34,430 
7,025 
1,305 

212 
33 

181 
2,533 
2,152 
8,483 

733 

190 

85.2 
98.7 
92.4 
88.6 
93.4 
80.2 
90.6 
87.3 

14.8 
1.3 
7.6 

11.4 
6.6 

19.8 

12.7 

.2 
.3 
.3 
2.7 
3.9 
5.1 

.3 
.3 
2.8 
4.3 
4.9 
1.0 

.2 
(2) 

.1 
2.0 
1.7 
6.8 

.6 

.2 

VI  n             ! 

28,583 
84,716 

25,624 
73.158 

2,959 
11,558 

89.6 
86.4 

10.4 
13.6 

3.4 
10.2 

3.6 
10.3 

113,299 

98,782 

14,517 

87.2 

12.8 

13.6 

13.9 

47,254 
7,606 

51,241 
1,188 
6,458 

15,045 
8.820 

204 

6,589 

44,181 

729 

9,097 

224,658 

45,626 

56,155 

24,933 

279 

161,846 

552 

882 

7,951 

40,324 
5,207 

27,207 
844 
5,759 

13,558 
8,319 

87 

6,336 

37,856 

622 

8,379 

202,912 

37.790 

51,629 

21,305 

239 

137,777 

485 

609 

3,573 

6,930 
2,399 
24,034 
344 
699 
1,487 
501 

117 
253 
6,325 
107 
718 
21,746 

7,836 

4.526 

3,628 

40 

24,069 

67 

273 

4,378 

85.3 
68.5 
53.1 
71.0 
89.2 
90.1 
94.3 

42.6 

96.2 

85  7 

8. 

92.1 

90.3 

82.8 
91.9 
85.4 
85.7 
85.1 
87.9 
69.0 
44.9 

14.7 
31.5 
46.9 
29.0 
10.8 
9.9 
5.7 

57.4 
3.8 
14.3 
14.7 
7,9 
9.7 

17.2 
8.1 
14.6 
14.3 
14.9 
12.1 
31.0 
55.1 

5.7 
.9 
6.1 

.8 
1.8 
1.1 

(2) 
.8 

5.3 
.1 

1.1 
26.9 

5.5 
6.7 
3.0 
(2) 
19.4 

1.0 

5.7 
.7 
3.8 

.8 
1.9 
1.2 

(2) 
.9 
5.3 
.1 
1.2 
28.6 

5.3 
7.3 
3.0 
(2) 
19.4 

.1 

.5 

srgery  and  counterfeiting     

mbezzlement 

olen  property;  buying,  receiving,  possessing  . 

1.9 

19.2 

.3 

.6 

eapons;  carrying,  possessing,  etc. 

ostitution  and  commercialized  vice 

x  offenses  (except  forcible  rape  and  prostitution) 

rug  abuse  violations 

ambling 

Fenses  against  family  and  children 

.4 

.2 
5.1 

.6 

Kjuor  laws 

runkenness    

igrancy 

1  other  offenses  (except  traffic) 

spicion ....... 

urfew  and  loitenng  law  violations       

unaways       

6.3 
3.6 
2.9 
(2) 
19.3 
.1 
.2 
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. 
4Property  crimes  are  offenses  of  burglary',  larceny-theft,  motor  vehicle  theft,  and  arson 
includes  arson. 


Table  59.  —  Rural  County  Arrests,  Distribution  by  Race,  1986 

[2,371  agencies;   1986  estimated  population  24,188,000] 


Total  arrests 

Percent  distribution' 

Offense  charged 

Total 

Wh,,e 

Black 

Alaskan 

Islander 

Total 

White 

Black 

Amencan 

Alaskan 
Native 

Pacific 

Islander 

TOTAL 

829,064 

688,134 

118,455 

16,699 

5,776 

100.0 

83.0 

14.3 

2.0 

.7 

Murder  and  nonnegligent 

manslaughter 

Forcible  rape 

Robbery 

Aggravated  assault 

Burglary  

Larceny-theft 

Motor  vehicle  theft 

Arson 

1.432 
2,502 
2,391 
22,230 
32,464 
42,871 
7,746 
1,494 

998 
1.806 
1,575 
16,215 
26,873 
35,098 
6,750 
1,319 

385 

625 

763 

5,424 

4,700 

6,747 

719 

157 

45 
52 
39 
456 
566 
486 
177 
7 

19 
14 
135 
325 
540 
100 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

69.7 
72.2 
65.9 
72.9 
82.8 
81.9 
87.1 
88.3 

26.9 
25.0 
31.9 
24.4 
14.5 
15.7 
9.3 
10.5 

3.1 
2.1 
1.6 

2.1 
1.7 
1.1 
2.3 
.5 

| 

3 
8 
6 
6 

0 
3 
3 
7 

Violent  crime* 

28,555 
84,575 

20.594 
70,040 

7,197 
12,323 

592 
1,236 

172 
976 

100.0 
100.0 

72.1 
82.8 

25.2 
14.6 

2.1 
1.5 

113,130 

90,634 

19,520 

1,828 

1,148 

100.0 

80.1 

17.3 

1.6 

47.224 
7,596 

51,219 
1,188 

6,448 
15,030 
8,810 

204 

6,572 

44,118 

729 

9,076 

219.701 

45,617 

56,149 

24,902 

278 

161,698 

550 

882 

7,943 

35,296 

5,716 

37,356 

874 

5,326 
13,409 
7,508 

140 

5,950 

37.274 

452 

5,826 

192,761 

41,487 

49,873 

20,348 

251 

129,323 

494 

633 

7,203 

10,704 

1,731 

13,290 

296 

978 
1,330 
1.124 

60 

517 
5,992 

223 
3,032 
20,437 

3,099 

4,275 

3,449 

17 

28,051 

49 

17 

264 

851 

107 

502 

7 

109 
194 
92 

3 

79 
558 

144 
5,149 

837 

1,956 

1,007 

9 

3,101 

7 

24 

373 
42 
71 
11 

35 
97 
86 

1 

26 
294 
53 
74 
1.354 

194 

45 

98 

1 

1,223 

342 

100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

74.7 
75.3 
72.9 
73.6 

82.6 
89.2 
85.2 

68.6 

90.5 
84.5 
62.0 
64.2 
87.7 

90.9 
88.8 
81.7 
90.3 
80.0 
89.8 
71.8 
90.7 

22.7 
22.8 
25.9 
24.9 

15.2 
8.8 
12.8 

29.4 

7.9 

30.6 
33.4 
9.3 

6.8 
7.6 
13.9 

17.3 
8.9 

3.3 

1.4 
1.0 

1.7 
1.3 
1.0 

1.5 

1.2 
1.3 
.1 
1.6 
2.3 

1.8 
3.5 
4.0 
3.2 
1.9 
1.3 
2.7 
1.7 

Stolen  property,  buying,  receiving, 

Sex  offenses  (except  forcible 

.7 

Gambling 

7.3 

.8 

Liquor  laws 

Drunkenness 

1 

4 

Runaways 

4.3 

See  footnotes  at  end  of  table. 


able  59.  —  Rural  County  Arrests,  Distribution  by  Race,  1986  —  Continued 


Arrests  under  18 

Percent  distribution1 

Offense  charged 

Total 

White 

Black 

American 
Native 

Islander 

Total 

White 

Black 

Alaskan 

Pacific 
Islander 

76,607 

69.011 

4,518 

1,329 

1,749 

100.0 

90.1 

5.9 

1.7 

87 

245 

231 

1.358 

10,058 

9,609 

2.653 

359 

67 

184 

172 

1,082 

9,050 

8,435 

2.413 

336 

16 

54 
46 
231 
673 
771 
127 
16 

7 
9 

29 
177 
134 

67 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

77.0 
75.1 
74.5 
79.7 
90.0 
87.8 
91.0 
93.6 

18.4 
22.0 
19.9 
17.0 
6.7 
8.0 
4.8 
4.5 

4.6 
2.9 
3.9 
2.1 
1.8 
1.4 
2.5 

obbery 

16 

158 

269 

46 

3 

ggravated  assault 

1.2 

arceny-theft    

2.8 

1,921 
22,679 

1,505 
20,234 

347 
1,587 

49 

382 

20 
476 

100.0 
100.0 

78.3 
89.2 

18.1 
7.0 

2.6 

1.7 

Crime  Index  total4 

24.600 

21,739 

1,934 

431 

496 

100.0 

88.4 

7.9 

1.8 

2.0 

ther  assaults 

orgery  and  counterfeiting  

3,005 

617 

368 

9 

931 
5,174 
607 

19 

914 
2,692 

12 

135 

3,383 

10,654 
1,310 

2,248 

69 

10.915 

120 

882 

7,943 

2.371 
555 
305 

823 

4.924 

537 

821 

2,433 

7 

123 

3,223 

10.331 
1,240 
1,922 
66 
9,622 
111 
633 
7,203 

444 
45 
52 

69 

149 
51 

3 

73 
138 
1 
9 
82 

103 
28 
206 
1 
845 
3 

17 
264 

54 
12 
6 

23 
50 
5 

2 

13 
36 

60 

154 
40 
111 
2 
165 
6 
24 
134 

136 
5 
5 

16 
51 
14 

7 
85 
4 

18 

66 
2 
9 

283 

208 
342 

100.0 
100.0 
100.0 
100.0 

100.0 
100.0 

100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

78.9 
90.0 
82.9 
88.9 

88.4 
95.2 
88.5 

73.7 

89.8 
90.4 
58.3 
91.1 
95.3 

97.0 
94.7 
85.5 
95.7 
88.2 
92.5 
71.8 
90.7 

14.8 

7.3 
14.1 
11.1 

7.4 
2.9 
8.4 

15.8 

8.0 
5.1 
8.3 
6.7 
2.4 

1.0 
2.1 
9.2 
1.4 
7.7 
2.5 
1.9 
3.3 

1.8 
1.9 
1.6 

4.5 
.8 
1.4 

olen  property;  buying,  receiving, 
assessing 

2.5 
1.0 
.8 

10.5 

1.4 
1.3 

.7 
1.8 

1.4 
3.1 
4.9 
2.9 
1.5 
5.0 
2.7 
1.7 

1.7 

ix  offenses  (except  forcible 

rape  and  prostitution)  

.8 

ambling 

Ffenses  against  family  and  children 

33.3 
1.5 

ispicion 

urfew  and  loitering  law  violations 

unaways 

23.6 

4.3 

See  footnotes  at  end  of  table. 


219 


Table  59.  —  Rural  County  Arrests,  Distribution  by  Race,  1986  —  Continued 


Arrests    18  and  over 

Percent  distribution1 

Offense  charged 

Total 

„,„ 

Black 

Alaskan 

Pacific 
Islander 

Total 

Wh„e 

Black 

American 
Alaskan 

Pacific 

752,457 

619,123 

113,937 

15,370 

4,027 

100.0 

82.3 

15.1 

2.0 

Murder  and  nonnegligenl  manslaughter 

Forcible  rape                      

Robbery 

1.345 
2,257 
2.160 
20,872 
22,406 
33,262 
5,093 
1,135 

931 
1,622 
1,403 
15,133 
17,823 
26,663 
4,337 
983 

369 

571 

717 

5,193 

4,027 

5,976 

592 

141 

45 
30 
427 
389 
352 
110 
3 

4 
19 
10 
119 
167 
271 
54 
8 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

69.2 
71.9 
65.0 
72.5 
79.5 
80.2 
85.2 
86.6 

27.4 
25.3 
33.2 
24.9 
18.0 
18.0 
11.6 
12.4 

3.0 
2.0 
1.4 
2.0 
1.7 

2.2 
.3 

26.634 
61,896 

19,089 
49,806 

6,850 
10,736 

543 
854 

152 
500 

100.0 
100.0 

71.7 
80.5 

25.7 
17.3 

2.0 
1.4 

Property  crime' 

Crime  Index  total4 

88,530 

68,895 

17,586 

1,397 

652 

100.0 

77.8 

19.9 

1.6 

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 

44,219 
6,979 

50,851 
1,179 

5,517 
9,856 
8,203 

185 

5,658 

41,426 

717 

8,941 

216,318 

34,963 
54.839 
22,654 

209 
150.783 

430 

32,925 

5,161 

37,051 

866 

4,503 
8.485 
6,971 

126 

5.129 

34,841 

445 

5,703 

189,538 

31,156 
48,633 
18,426 
185 
119,701 
383 

10,260 

1,686 

13,238 

295 

909 
1,181 
1.073 

57 

444 
5,854 

222 
3,023 
20,355 

2,996 

4,247 
3,243 

27,206 
46 

797 

95 

496 

7 

86 
144 

87 

1 

66 

522 

1 

143 

683 

1,916 

896 

7 

2,936 

1 

237 
37 
66 
11 

19 
46 

72 

1 

19 
209 
49 
72 
1,336 

128 
43 
89 
1 

940 

100.0 
100.0 
100.0 
100.0 

100.0 
100.0 

100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

74.5 
74.0 
72.9 
73.5 

81.6 
86.1 
85.0 

68.1 

90.7 
84.1 
62.1 
63.8 
87.6 

89.1 
88.7 
81.3 
88.5 
79.4 
89.1 

23.2 
24.2 
26.0 
25.0 

16.5 
12.0 
13.1 

30.8 

7.8 
14.1 
31.0 
33.8 

9.4 

8.6 
7.7 
14.3 
7.7 
18.0 
10.7 

1.8 

1.0 
.6 

1.6 
1.5 

.5 

1.3 

1.6 

2.4 

2.0 
3.5 
4.0 
3.3 
1.9 
.2 

6. 

Drunkenness 

Vagrancy  

Suspicion 

Curfew  and  loitering  law  violations 
Runaways 

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

2Violent  crimes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault 
'Property  crimes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson 
4Includes  arson. 


able  60. —  Rural  County  Arrests,  Distribution  by  Ethnic  Origin,  1986 

!,096  agencies;   1986  estimated  population  22,384.000] 


Total  ail  ages 

Number  of  arrests 

Percent  distribution 

Total 

Hispanic 

Non- 

Total 

Hispanic 

Non- 
Hispanic 

770,287 

43,466 

726,821 

100.0 

5.6 

urder  and  nonneghgent  manslaughter 

1,329 
2,299 
2,077 
20,153 
29,905 
39,520 
7,217 
1,375 

95 

93 

115 

1,247 

1,460 

1,550 

590 

39 

1,234 
2,206 
1,962 
18,906 
28.445 
37,970 
6,627 
1,336 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

7.1 
4.0 
5.5 
6.2 
4.9 
3.9 
8.2 
2.8 

92.9 

ggravated  assault 

urglary 

95.1 

Violent  crime1                                              

Property  cnme: 

25.858 
78,017 

1,550 
3,639 

24,308 
74,378 

100.0 
100.0 

6.0 

4.7 

94.0 
95.3 

Crime  Index  total' 

103,875 

5,189 

98,686 

100.0 

5.0 

95.0 

45,509 
7,101 

49,450 
1,159 
5,938 

14.524 
8.218 

187 

6,089 

40,500 

662 

8,318 

207,566 

44.209 

53,388 

23,015 

258 

141.435 

490 

807 

7.589 

1,324 
246 
734 
8 
305 
321 
510 

11 

245 

3,251 

12 

246 

13,398 

1,109 

7,452 

1.743 

31 

6,981 

29 

29 

292 

44,185 
6,855 

48,716 
1,151 
5,633 

14,203 
7,708 

176 

5,844 

37,249 

650 

8,072 

194,168 

43,100 
45,936 

21,272 

227 

134,454 

461 

778 

7,297 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

2.9 
3.5 
1.5 
.7 
5.1 
2.2 
6.2 

5.9 

4.0 
8.0 
1.8 
3.0 
6.5 

2.5 
14.0 
7.6 
12.0 
4.9 
5.9 
3.6 
3.8 

nbezzlement 

olen  property;  buying,  receiving,  possessing                                           

mdalism 

eapons,  carrying,  possessing,  etc 

99.3 
94.9 
97.8 
93.8 

x  offenses  (except  forcible 
rape  and  prostitution) 

96.0 

igrancy 

1  other  offenses  (except  traffic) 

88.0 
95.1 

See  footnotes  at  end  of  table. 


Table  60.  —  Rural  County  Arrests,  Distribution  by  Ethnic  Origin,  1986  —  Continued 


Offense  charged 


Murder  and  nonneghgenl  manslaughter 

Forcible  rape 

Robbery  

Aggravated  assault     

Burglary 

Larceny-theft 

Motor  vehicle  theft  

Arson 


1.220 
9.400 
9,046 
2,497 


9.034 

8,759 

2,371 

327 


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) 

Curfew  and  loitering  law  violations 

Runaways 


10,241 
1,234 
2,093 


See  footnotes  at  end  of  table. 


Table  60.  —  Rural  County  Arrests,  Distribution  by  Ethnic  Origin,  1986  —  Continued 


18  years  of  age  and  over 

Number  of  arrests 

Percent  distribution 

Total 

Hispanic 

Non- 
Hispanic 

Total 

Hispanic 

Non- 
Hispanic 

698,125 

40,477 

657,648 

100.0 

5.8 

94.2 

Murder  and  nonneghgent  manslaughter       

:orcible  rape 

1,249 
2.072 
1,870 
18.933 
20.505 
30,474 
4,720 
1,038 

89 
83 

1.160 
1,094 
1,263 
464 
29 

1,160 
1,989 
1,772 
17,773 
19,411 
29,211 
4,256 
1,009 

100.0 
100.0 
100,0 
100.0 
100.0 
100.0 
100.0 
100.0 

7.1 
4.0 
5.2 
6.1 
5.3 
4.1 
9.8 
2.8 

92.9 
96.0 

93.9 
94.7 
95.9 
90.2 

Burglary            

.arceny-theft 

Motor  vehicle  theft        

24,124 
56,737 

1,430 
2,850 

22,694 
53.887 

100.0 
100.0 

5.9 
5.0 

95.0 

Crime  Index  total3 

80,861 

4,280 

76,581 

100.0 

5.3 

94.7 

42.633 
6.509 

49,089 
1,150 
5,081 
9,536 
7.638 

169 

5,229 

38,008 

651 

8,191 

204,355 

33,968 
52,154 
20,922 
197 
131.409 
375 

1,223 
225 
724 
8 
259 
208 
487 

230 

3,076 

11 

239 

13,220 

870 
7,235 
1.574 

21 
6,554 

22 

41,410 
6.284 

48,365 
1.142 
4.822 
9,328 
7.151 

158 

4,999 

34,932 

640 

7.952 

191,135 

33.098 
44.919 
19,348 
176 
124,855 
353 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

1000 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

2.9 
3.5 
1.5 
.7 
5.1 
2.2 
6.4 

6.5 
4.4 
8.1 
1.7 

6.5 

2.6 
13.9 

7.5 
10.7 

5.0 

5.9 

97.1 
96.5 

-orgery  and  counterfeiting                  

99  3 

tolen  property,  buying,  receiving,  possessing 

94.9 

Jquor  laws 

drunkenness  

Disorderly  conduct                                 

97.4 
86.1 
92.5 

uspicion 

94.1 

'Violent  crimes  i 
Property  crimes 
■Includes  arson. 


Table  61.  — Suburban  Area1  Arrest  Trends,  1985-1986 

[4,479  agencies;  1986  estimated  population  74,665,000] 


Number  of  persons  arrested 

Offense  charged 

Total  all  ages 

Under  18  years  of  age 

18  years  of  age  and  over 

1985 

1986 

dES 

1985 

1986 

Chang"' 

1985 

1986 

cha^g"' 

3,068,776 

3,218,571 

+4.9 

569,460 

589,110 

+3.5 

2.499,316 

2,629,461 

3,656 
8,221 
23,993 

73,481 
120,289 

355,773 
32,323 
5.428 

3,789 
8.443 
25,414 
84,653 
122,657 
375,616 
37,517 
5,284 

+3.6 
+2.7 
+  5.9 

+  15.2 
+2.0 
+  5.6 

+  16.1 
-2.7 

261 
1,272 
5,118 
10,947 
49,684 
123,145 
13,106 
2,726 

268 
1,295 
4,908 
11,473 
48,002 
127,211 
15,499 
2,542 

+2.7 
+  1.8 

+4.8 
-3.4 
+3.3 
+  18.3 
-6.7 

3,395 
6,949 
18,875 
62,534 
70,605 
232,628 
19,217 
2,702 

3,521 
7,148 
20,506 
73,180 
74,655 
248,405 
22,018 
2,742 

+3.7 

+8.6 

Aggravated  assault                           

+  17.0 

+  1.5 

109,351 
513,813 

122,299 
541,074 

+  11.8 
+5.3 

17,598 
188,661 

17,944 
193,254 

+2.0 
+2.4 

91,753 
325,152 

104,355 
347,820 

Property  crime"1 

+7.0 

623,164 

663,373 

+6.5 

206,259 

211,198 

+2.4 

416,905 

452,175 

169,388 

22,085 

104,941 

3,574 

34,786 
75,251 
42,543 

6,797 

26,182 

193,468 

4.515 

18,665 
592.930 

140.897 
196,150 
143,551 
3.853 
599,682 
2,986 
17.734 
48.620 

186.854 

24.128 

111,258 

3,947 

37.316 
78,075 
45.248 

7.785 

25,779 

192,681 

4,510 

19.175 
594,388 

161,411 
197,237 
148,682 
4,449 
644,824 
2,774 
19.500 
47.951 

+  10.3 
+9.3 
+6.0 

+  10.4 

+7.3 
+  3.8 
+6.4 

+  14.5 

-1.5 

-.1 

+2.7 
+  .2 

+  14.6 

+3.6 

+  15.5 
+7.5 
-7.1 

+  10.0 

27.923 
2,326 
2,030 

241 

9,385 
38,142 
8,085 

160 

4,961 

26,154 

115 

744 
7,843 

46,613 
7.427 

28,567 
1,019 

85,112 
1,132 

17.734 

48,620 

29,841 
2,277 
2,166 
244 

9.903 
37,728 
7,875 

190 

4,880 

22.280 

136 

761 

9,270 

55,767 
8,675 

30,153 
967 

87,348 
1,150 

19,500 

47,951 

+6.9 
-2.1 
+6.7 

+5.5 
-2.6 
+  18.8 

-1.6 

-14.8 
+  18.3 
+2.3 
+  18.2 

+  19.6 
+  16.8 
+5.6 
-5.1 
+2.6 

+  10.0 
-1.4 

141,465 

19,759 

102,911 

3,333 

25,401 
37,109 
34,458 

6,637 

21,221 

167,314 

4,400 

17,921 
585,087 

94,284 
188,723 
114,984 
2,834 
514,570 
1,854 

157,013 

21,851 

109,092 

3,703 

27,413 
40,347 
37,373 

7,595 

20,899 

170,401 
4,374 
18,414 

585,118 

105,644 
188,562 
118,529 

3,482 

557,476 

1,624 

Embezzlement 

Stolen  property;  buying,  receiving, 

possessing 
Vandalism 
Weapons;  carrying,  possessing,  etc 

Prostitution  and  commercialized  vice 
Sex  offenses  (except  forcible  rape 

+6.0 
+  11.1 

+7.9 
+8.7 
+8.5 

+  14.4 

Drug  abuse  violations                 

Gambling 

+  1.8 
-.6 

(5) 

Liquor  laws              

Drunkenness 

+  12.0 
-.1 

+22.9 

All  other  offenses  (except  traffic) 
Suspicion  (not  included  in  totals) 
Curfew  and  loitering  law  violations 

+8.3 
-12.4 

'includes  suburban  city  and  county  law  enforcement  agencies  within  metropolitan  areas 
■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. 
5Less  than  one-tenth  of  1   percent. 


Table  62.  — Suburban  Area1  Arrest  Trends,  Sex,  1985-1986 

[4,479  agencies;   1986  estimated  population  74,665,000] 


Murder  and  nonnegligent 

manslaughter 
Forcible  rape  

Robbery  

Aggravated  assault 

Burglary 

Larceny-theft 

Motor  vehicle  theft 


3,200 
8,114 
22,343 
64,347 
111,274 
245.669 
29,125 
4,807 


3,357 
8,320 
23,556 
74,538 
112,8 


1,242 
4,804 
9,321 
45,966 
90,862 
11,472 
2,475 


94,713 
13,733 
2,297 


456 

107 

1,650 

9,134 

9,015 

110,104 

3,198 

621 


1,858 
10,115 
9,813 
115,078 
3,605 
639 


28 

30 

314 

1,626 

3,718 

32,283 

1,634 

251 


143,173 

158,196 

14,677 

15,868 

55,612 

58,212 

2,315 

2.529 

30.671 

33.048 

68,338 

70.336 

39.715 

42,261 

9,003 

34.372 
7,467 


Violent  crime* 
Property  cnme' 


Crime  Index  total 


Dther  assaults  

Forger)*  and  counterfeiting 

Embezzlement 

stolen  property;  buying,  receiving, 

possessing 
Vandalism ... 
Weapons;  carrying,  possessing,  etc. 

Prostitution  and  commercialized 

Sex  offenses  (except  forcible  rape  and 

Drug  abuse  violations 

jambling 

Offenses  against  family  and  children 

Driving  under  the  influence 

Liquor  laws 

Drunkenness 

Disorderly  conduct 

Vagrancy 

Ml  other  offenses  (except  traffic) 

Suspicion  (not  included  in  totals) 

Curfew  and  loitering  law  violations 

Runaways 


includes  surburban  city  and  county  law  enforcement  agencies  wilhin   metropolitan  areas.   Excludes  i 
-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. 


24.983 

24.476 

165.013 

163.170 

3,862 

3,895 

16,765 

17.038 

520.885 

522.797 

115,144 

131,530 

177,45" 

178.629 

120,775 

125.521 

3,343 

3,585 

506.478 

543,913 

2.509 

2,302 

12.963 

14,354 

21.650 

21.016 

34,305 
6.127 
23,353 


26,215 

28,658 

7,408 

8,260 

49,329 

53,046 

1,259 

1,418 

4.115 

4,268 

6.913 

7.739 

2,828 

2.987 

28,455 

29.511 

653 

615 

1,900 

2,137 

72,045 

71,591 

25,753 

29.881 

18,691 

18,608 

22,776 

23,161 

2.308 

14,560 

1,300 

1.317 

5,214 

5,406 

136 

167 

7,272 

18,121 

217 

254 

4,771 

5,146 

6,970 

26,935 

are  also  included  in  other  groups. 


Table  63.  —  Suburban  Area    Arrests,  Distribution  by  Age, 
[5,097  agencies;   1986  estimated  population  83,371,000] 


Tolal 

Ages 

Ages 

Ages 

Age 

Offense  charged 

under 

under 

18  and 

Under 

ages 

15 

18 

over 

10 

10-12 

13-14 

15 

16 

17 

18 

19 

20 

21 

TOTAL 

3,603,131 

200,485 

660.963 

2,942,:68 

16,526 

46,909 

137,050 

129,381 

158,160 

172,937 

183,736 

177,623 

170,413 

166.482 

Percent  distribution1 

100.0 

5.6 

18.3 

81.7 

.5 

1.3 

3.8 

3.6 

4.4 

4.8 

5.1 

4.9 

4.7 

4.6 

Murder  and  nonnegligent 

manslaughter   

4.283 

22 

297 

3,986 

3 

2 

17 

53 

104 

118 

189 

211 

224 

215 

Forcible  rape   

9,558 

464 

1.451 

8,107 

19 

94 

351 

285 

352 

350 

389 

394 

411 

444 

Robbery 

28,548 

1,225 

5.525 

23,023 

24 

230 

971 

1,124 

1.400 

1,776 

2,050 

1,916 

1,772 

1,721 

Aggravated  assault 

94,863 

3,816 

12,748 

82.115 

281 

916 

2,619 

2.354 

3,102 

3,476 

3.794 

3,796 

3,945 

4,253 

Burglary 

137,083 

17,879 

53,430 

83,653 

1,549 

4,283 

12,047 

11,024 

12,153 

12,374 

1 1,054 

9,142 

7,317 

6,250 

Larcenv-theft 

421,112 

55.909 

142,424 

278,688 

5,057 

15,793 

35,059 

26,958 

30,121 

29,436 

25,836 

20,887 

17,403 

15.809 

Motor  vehicle  theft 

41.003 

3,955 

16.945 

24,058 

69 

411 

3,475 

4.308 

4,633 

4.049 

3,121 

2,492 

2,031 

1,766 

Arson                     

5,848 

1,657 

2,725 

3,123 

438 

496 

723 

427 

344 

297 

269 

249 

179 

174 

Violent  crime1 

137,252 

5,527 

20,021 

117,231 

327 

1,242 

3.958 

3,816 

4,958 

5,720 

6,422 

6,317 

6,352 

6.633 

Percent  distribution2 

100.0 

4.0 

14.6 

85.4 

.2 

2.9 

2.8 

3.6 

4.2 

4.7 

4.6 

4.6 

4.8 

605.046 

79,400 

215,524 

389,522 

7,113 

20,983 

51,304 

42.717 

47,251 

46,156 

40,280 

32,770 

26,930 

23,999 

Percent  distribution2 

100.0 

13.1 

35.6 

64.4 

1.2 

3.5 

8.5 

7.1 

7.8 

7.6 

6.7 

5.4 

4.5 

4.0 

Crime  Index  total5 

742,298 

84,927 

235.545 

506,753 

7.440 

22,225 

55,262 

46.533 

52,209 

51,876 

46,702 

39,087 

33,282 

30,632 

Percent  distribution2 

100.0 

11.4 

31.7 

68.3 

1.0 

3.0 

7.4 

6.3 

7.0 

7.0 

6.3 

5.3 

4.5 

4.1 

Other  assaults 

211,381 

11,549 

33.556 

177,825 

924 

3,031 

7,594 

6.216 

7.481 

8,310 

7,907 

8,252 

8,859 

9,449 

Forgery  and  counterfeiting 

26.962 

349 

2,519 

24,443 

13 

292 

376 

672 

1,122 

1,407 

1,520 

1,555 

1,544 

Fraud               

118,782 

392 

2,323 

116,459 

31 

60 

301 

344 

564 

1,023 

2,110 

3,257 

4,357 

5,251 

Embezzlement 

4.341 

17 

266 

4,075 

3 

14 

23 

80 

146 

180 

215 

189 

175 

Stolen  property;  buying, 

receiving,  possessing 

41,542 

2.881 

11.124 

30,418 

122 

542 

2,217 

2.271 

2,863 

3,109 

3,274 

2,771 

2,400 

2,148 

Vandalism 

88.207 

19.498 

42,048 

46,159 

2,872 

5,920 

10,706 

7,300 

7,912 

7,338 

5.848 

4,437 

3,738 

3.363 

Weapons;  carrying. 

possessing,  elc 

50.623 

2.287 

8.695 

41,928 

105 

463 

1,719 

1.687 

2,177 

2,544 

2,979 

2,724 

2,528 

2,569 

Prostitution  and 

commercialized  vice 

10,266 

51 

251 

10,015 

7 

35 

39 

57 

104 

339 

425 

546 

58! 

Sex  offenses  (except  forcible 

rape  and  prostitution) 

28.792 

2.328 

5,427 

23,365 

192 

589 

1,547 

1.048 

1,013 

1,038 

902 

900 

1.007 

96c 

Drug  abuse  violations 

213,639 

3.386 

24,272 

189,367 

60 

331 

2,995 

4,385 

6,972 

9,529 

11,862 

12,316 

12,169 

12,796" 

Gambling 

5,279 

36 

150 

5,129 

1 

5 

30 

31 

32 

51 

76 

81 

109 

144 

Offenses  against  family  and 

children 

21.923 

281 

840 

21.083 

37 

44 

200 

193 

183 

183 

501 

553 

617 

so; 

Driving  under  the  influence 

643.063 

176 

9,991 

633,072 

45 

11 

120 

374 

2,573 

6,868 

15,044 

20,256 

23,847 

30,69c 

Liquor  laws 

181.034 

4,759 

62.110 

118,924 

275 

262 

4,222 

9.138 

19,128 

29,085 

32,334 

25,161 

18,203 

6,2o: 

Drunkenness 

227,041 

1,130 

9,908 

217.133 

38 

90 

1,002 

1,608 

2,801 

4,369 

7,065 

8,134 

8,499 

10,22! 

Disorderly  conduct        

179,161 

10,142 

35,081 

144,080 

841 

2,511 

6,790 

6.412 

8,464 

10,063 

11,025 

10,651 

10,295 

10.65." 

Vagrancy 

4,863 

251 

1.055 

3.808 

20 

40 

191 

232 

288 

284 

364 

322 

261 

241 

All  other  offenses  (except 

traffic)    

724,170 

28,882 

97.852 

626,318 

2,544 

6,357 

19,981 

19,929 

23,267 

25,774 

33,619 

36,422 

37,834 

37.92C 

Suspicion 

3.094 

384 

1,280 

1.814 

28 

86 

270 

316 

300 

280 

198 

139 

118 

IK 

Curfew  and  loitering  law 

violations 

21,861 

5,722 

21,861 

139 

864 

4.719 

5,253 

6,482 

4,404 

Runaways                          

54.809 

21,057 

54,809 

790 

3,424 

16,843 

15,673 

12,642 

5,437 

See  footnotes  at  end  of  table. 

226 

Tabic  63.  —  Suburban  Area1  Arrests,  Distribution  by  Age,  1986  —  Continued 


Age 

Offense  charged 

22 

:■< 

24 

25-29 

30.34 

35-39 

40-44 

45-49 

50-54 

55-59 

60-64 

65  and 

162,797 
4.5 

157,791 

4.4 

151,836 
4.2 

634,364 
17.6 

425,646 
11.8 

278,904 

7.7 

164,588 
4.6 

101,755 
2.8 

66,189 
1.8 

45,281 
1.3 

28,095 
.8 

26,668 

Murder  and  nonnegligent 

216 
427 
1,587 
4,346 
5,603 
14,392 
1,570 
175 

198 
407 
1,567 
4.389 
4,982 
13,439 
1,417 
168 

166 
388 
1,376 
4,399 
4,458 
12,391 
1,257 
135 

859 
1,843 
5,397 
18,963 
16,733 
52,808 
4,759 
616 

554 
1,289 
3,077 
12,938 
9,471 
38,800 
2,672 
403 

452 

923 

1,484 

8,550 

4,805 

25,119 

1,405 

304 

254 

478 

587 

5,077 

2,011 

13,859 

745 

172 

168 
296 
246 

3,124 
899 

8,591 
399 
120 

97 
176 
119 
1,932 
461 
6,051 
212 
65 

70 
114 
57 
1,166 
255 
4,773 
107 
43 

44 
68 
28 
765 
104 
3,510 
60 
25 

Forcible  rape 

60 

5,020 

6.576 

4.8 

21,740 

3.6 

6,561 

4.8 

20,006 

3.3 

6,329 

4.6 

18,241 

3.0 

27,062 
19.7 

74,916 
12.4 

17.858 

13.0 

51,346 

8.5 

11,409 
8.3 

31,633 
5.2 

6,396 

4.7 

16,787 

2.8 

3,834 

2.8 

10,009 

1.7 

2,324 
1.7 

6,789 
1.1 

1,407 

1.0 

5,178 

.9 

905 

.7 

3,699 

.6 

Percent  distribution"'    

Property  crime4 
Percent  distribution'' 

.6 

5,199 

.9 

Crime  Index  total' 
Percent  distribution2 

28,316 
3.8 

26,567 
3.6 

24.570 
3.3 

101,978 

13.7 

69,204 
9.3 

43,042 
5.8 

23,183 
3.1 

13,843 
1.9 

9,113 
1.2 

6,585 
.9 

4,604 

6,045 
.8 

9,788 
1,415 
5.700 
222 

1,937 
2,946 

2,450 

655 

1,024 

12,585 

129 

872 
32,537 

4.841 

10.175 

9.420 

194 

37,485 
106 

9.876 
1,437 
5,830 
213 

1,765 
2,684 

2,456 

666 

996 

12,256 

158 

824 
33,063 

3,827 

10,151 

8,675 

195 

36,057 
95 

9,814 

1.390 

6,038 

204 

1.564 
2,426 

2.127 

658 

991 

12.131 

152 

1,031 

32,817 

3,238 

10,121 

8,025 

197 

34,242 
100 

41,453 

5,570 

27,109 

952 

6,006 
9,059 

8,957 

2,745 

4,348 

48,671 

705 

4,965 
143,118 

10,737 

43,566 

29,187 

695 

144,149 
394 

27,940 

4,005 

21,638 

610 

3,860 

5,171 

5,793 

1,605 

3,593 

28,177 

728 

4,282 
101,592 

5,434 

33,532 

17,489 

489 

90.296 
208 

18,358 

2,360 

15,753 

496 

2,200 
2,859 

3,811 

789 

2.898 

14,716 

703 

3,168 
71,380 

3,215 

24,286 

11,260 

354 

57,106 
150 

10,859 
1,104 
9.247 
296 

1,110 
1,553 

2,190 

403 

1,935 
0.147 
635 

1,759 
46,389 

1,982 

16,359 

6,513 

173 

32,666 
85 

6,251 
601 

4,895 
146 

623 
868 

1,374 

235 

1,227 
2.824 
465 

875 
30,683 

1,341 

11,718 

4,088 

112 

19,539 

47 

3,809 
248 

2,566 
108 

361 
515 

823 

139 

860 
1,350 
368 

406 
20,894 

929 
8,896 
2,680 

78 

12,017 
29 

2,355 

147 

1,368 

37 

212 
334 

524 

99 

663 
769 

297 

227 
14,672 

631 

6,625 

1,935 

56 

7,733 
12 

1,373 
85 
730 
21 

117 
187 

314 

59 

466 
329 
172 

100 
9,115 

394 

4,248 

1,041 

36 

4,687 
17 

1,482 

Stolen  property;  buying,  receiving. 

Weapons;  carrying, 

possessing,  etc 

Prostitution  and  commercialized 

Sex  offenses  (except  forcible  rape 

and  prostitution) . 

Drug  abuse  violations        

Gambling                                 

Offenses  against  family  and 

children                            

Driving  under  the  influence 

309 

67 

589 
269 
207 

100 
6,969 

All  other  offenses  (except 

Curfew  and  loitering  law 

violations                  

Runaways       

'Includes  suburban  city  and  county  law  enforcement  agencies  within  metropolitan 
^Because  of  rounding,  the  percentages  may  not  add  to  total. 
'Violent  crimes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  as; 
■"Property  crimes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and 
'includes  arson 


Excludes  central 


included  in  other  groups. 


Table  64.  —  Suburban  Area'  Arrests  of  Persons  under  15,  18,  21  and  25  Years  of  Age,  1986 
[5.097  agencies;   1986  estimated  population  83,371,000] 


of  persons  arrested 


Percent  of  total  i 


TOTAL 

Murder  and  nonnegligent  manslaughter 

Forcible  rape 

Robbery 

Aggravated  assault 

Burglary 

Larceny-theft 

Motor  vehicle  theft 


Violent  crane  

Properly  crime3 

Crime  Index  total4    

Other  assaults  

Forgery  and  counterfeiting  

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  


4.283 
9,558 
28.548 
94.863 
137.083 
421,112 
41,003 
5,848 


211.381 

26,962 

118,782 

4,341 


10.266 

28.792 

213,639 

5,279 


181,034 

227,041 

179,161 

4,863 

724,170 


464 
1.225 
3,816 
17,879 
55,909 
3,955 
1,657 


5,525 
12,748 
53,430 
142,424 


2,645 
11,263 
24,283 
80,943 
206,550 
24,589 

3,422 


262.58 
30,599 
4,074 


4,759 
1,130 
10,142 


58.574 
7,001 
12,047 
850 
19,569 
56,071 
16,926 


69,138 

137,808 
33,606 
67,052 
2,002 

205.727 


.735 


26.983 
67.490 
26.528 

4,125 

12.213 
110.387 


351.431 
2.146 
21.861 


Includes  suburban  city  and  county  law  enforcement  agencies  within  metropolitan  an 
•'Violent  crimes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault 
'Property  crimes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arso 
'Includes  arson 
^Less  than  one-tenth  of  1  percent 


rable  65.  —  Suburban  Area1  Arrests,  Distribution  by  Sex,  1986 

5,097  agencies;  1986  estimated  population  83,371,000] 


Number  of  persons  arrested 

Percent 

Percent 

Percent  distribution'" 

Offense  charged 

Total 

Male 

Female 

male 

female 

Total 

Male 

Female 

TOTAL 

3,603,131 

2,971,965 

631,166 

82.5 

17.5 

100.0 

100.0 

100.0 

rlurder  and  nonneghgent  manslaughter 

4,283 

3,791 

492 

88,5 

11.5 

.1 

.1 

.1 

orcible  rape 

9,558 

9,421 

137 

98.6 

1.4 

,3 

.3 

(5) 

obbery 

28,548 

26,428 

2,120 

92.6 

7.4 

.8 

.9 

.3 

ggravated  assault 

94,863 

83.441 

11.422 

88.0 

12.0 

2.6 

2.8 

1.8 

urglary 

137,083 

126.273 

10.810 

92.1 

7.9 

3.8 

4.2 

1.7 

421,112 

292,348 

128,764 

69.4 

30.6 

11.7 

9.8 

20.4 

dotor  vehicle  theft 

41,003 

37,045 

3,958 

90.3 

9.7 

1.1 

1.2 

.6 

rson 

5,848 

5,142 

706 

87.9 

12.1 

.2 

2 

.1 

Violent  crime2 

137,252 

123,081 

14,171 

89.7 

10.3 

3.8 

4.1 

2.2 

Property  crime'                      

605,046 

460,808 

144,238 

76.2 

23.8 

16.8 

15.5 

22.9 

Crime  Index  total4 

742,298 

583.889 

158,409 

78.7 

21.3 

20.6 

19.6 

25.1 

hher  assaults 

211,381 

178,683 

32,698 

84.5 

15.5 

5.9 

6.0 

5.2 

orgery  and  counterfeiting 

26,962 

17,762 

9,200 

65.9 

34.1 

.7 

.6 

1.5 

raud 

118,782 

62,492 

56,290 

52.6 

47.4 

3.3 

2.1 

8.9 

mbezzlement 

4,341 

2,810 

1.531 

64.7 

35.3 

1 

.1 

.2 

tolen  property;  buying,  receiving,  possessing 

41,542 

36.795 

4,747 

88.6 

11.4 

1.2 

1.2 

.8 

andalism 

88.207 

79,413 

8.794 

90.0 

10.0 

2.4 

2.7 

1.4 

Weapons;  carrying,  possessing,  etc 

50.623 

47.211 

3,412 

93.3 

6.7 

1.4 

1.6 

.5 

rostitution  and  commercialized  vice 

10,266 

4,056 

6,210 

39.5 

60.5 

.3 

.1 

1.0 

ex  offenses  (except  forcible  rape  and 

prostitution) 

28,792 

27,331 

1,461 

94.9 

5.1 

.8 

.9 

.2 

rug  abuse  violations 

213,639 

180,868 

32,771 

84.7 

15.3 

5.9 

6.1 

5.2 

ambling 

5,279 

4,577 

702 

86.7 

13.3 

.1 

.2 

.1 

flenses  jgains!   family  and  children 

21,923 

19.494 

2,429 

88.9 

11.1 

.6 

.7 

.4 

riving  under  the  influence 

643,063 

565,848 

77,215 

88.0 

12.0 

17.8 

19.0 

12.2 

iquor  laws 

181.034 

147,630 

33,404 

81.5 

18.5 

5.0 

5.0 

5.3 

runkenness 

227,041 

205,874 

21.167 

90.7 

9.3 

6.3 

6.9 

3.4 

isorderly  conduct 

179.161 

150.900 

28,261 

84.2 

15.8 

5.0 

5.1 

4.5 

agrancy 

4.863 

3,934 

929 

80.9 

19.1 

.1 

Jl  other  offenses  (except  traffic) 

724,170 

609.713 

114.457 

84.2 

15.8 

20  1 

20.5 

18.1 

uspicion 

3,094 

2,591 

503 

83.7 

16.3 

1 

.1 

.1 

urfew  and  loitering  law  violations 

21,861 

16,137 

5.724 

73.8 

26.2 

.6 

.5 

.9 

unaways 

54,809 

23,957 

30,852 

43.7 

56.3 

1.5 

.8 

4.9 

[ncludes  suburban  city  and  county  law  enforcement  agencies  within  metropolitan  area 
^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  o(  burglary,   larceny-theft,   motor  vehicle  theft,  and  arson 
'  Includes  arson. 


are  also  included  in  other  groups. 


Table  66.  —  Suburban  Area'  Arrests,  Distribution  by  Race,  1986 

[5,072  agencies;   1986  estimated  population  83,192,000] 


Murder  and  nonnegligent 
Forcible  rape 

Robbery  

Aggravated  assault 

Burglary 

Larceny-theft 

Motor  vehicle  theft 

Arson  

Violent  crime3 

Property  crime4 

Crane  Index  total' 

Other  assaults 

Forgery  and  counterfeiting 

Fraud 

Embezzlement 

Stolen  property;  buying,  receiving,  possessing 

Vandalism 

Weapons;  carrying,  possessing,  etc 

Prostitution  and  commercialized  vice 

Sex  offenses  (except  forcible  rape  and  prostitution) 

Drug  abuse  violations  

Gambling 

Offenses  against  family  and  children 

Driving  under  the  influence 

Liquor  laws 

Drunkenness 

Disorderly  conduct 

Vagrancy 

All  other  offenses  (except  traffic) 

Suspicion 

Curfew  and  loitering  law  violations 

Runaways 

See  footnotes  at  end  of  table. 


136,765 
420,189 
40,978 


41,435 
87,965 
50,519 

10,255 

28,737 

212,881 

5,258 

21,862 
633,170 


180,076 
226,449 
178,738 
4,850 
722,377 
3,091 
21,768 
54,746 


2,841 
6,294 
13,269 
66,037 
104,891 
304,647 
30,315 
4,942 


3,172 
15,102 
27,884 
31,037 
1 10,946 
10,336 
867 


159,160 
19,722 
86,044 
3,202 
29,485 
76,483 
38,450 

6,732 
24,925 
167,590 
3,465 
15,817 
586,898 

168,880 
199,527 
147,230 
3,995 
566,648 
2,595 
19,438 
49,013 


3,397 
3,603 

44,515 


10,028 
24,164 
30.573 


»le  66.  —  Suburban  Area    Arrests,  Distribution  by 


1986  —  Continued 


Arrests  under   18 

Percent  distribution' 

Offense  charged 

Total 

w„„e 

Black 

Amencan 

Islander 

Tea, 

» 

Black 

Amencan 
Alaskan 

Islander 

659,470 

550,916 

103,556 

2,397 

2,601 

100.0 

83.5 

15.7 

.4 

der  and  nonnegligent  manslaughter 
ible  rape 

bery 

ravated  assault 

glary 

.eny-theft 

or  vehicle  theft 

297 
1.451 
5.525 
12,737 
53.379 
142,200 
16.941 
2,724 

201 
906 
2,379 
8,434 
44,104 
109,167 
12.807 
2,469 

92 
534 
3,116 
4.188 
8.902 
31.454 
3,980 
234 

2 

2 
12 
43 
201 
634 
67 
11 

2 
9 
18 
72 
172 
945 
87 
10 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

67.7 
62.4 
43.1 
66.2 
82.6 
76.8 
75.6 
90.6 

31.0 
36.8 
56.4 
32.9 
16.7 
22.1 
23.5 
8.6 

7 

2 
3 

4 
4 

4 

7 
6 

3 
6 

3 
7 
5 

Violent  crime3 
Property  crime4 

20.010 
215,244 

11,920 
168,547 

7,930 
44.570 

59 
913 

101 
1,214 

100.0 
100.0 

59.6 

78.3 

39.6 

20.7 

.3 

.5 

Cnme  Index  total5 

235,254 

180,467 

52,500 

972 

1,315 

100.0 

76.7 

22.3 

4 

.6 

r  assaults 

ery  and  counterfeiting 

33,536 
2.518 
2,322 
265 
11,116 
41,964 
8,681 

251 

5.421 

23,824 

150 

839 

9,902 

61.953 
9.881 

35.045 
1,052 

97,702 
1,280 

21,768 

54,746 

25,017 
2,193 
1,855 
192 
8.045 

37,630 
6,946 

191 

4,471 

20,210 

74 

737 

9.635 

60.393 
9,411 

29,565 
982 

83,352 
1,099 

19.438 

49.013 

8,277 

307 

451 

73 

2.979 

4.100 

1,662 

59 
906 
3.507 
76 
98 
193 

1.304 

369 

5,349 

63 

13,668 

172 

2,210 

5.233 

121 
2 
5 

19 
113 
23 

27 
56 

3 
54 

143 
84 

64 

359 
3 

65 
279 

121 
16 
11 

73 
121 
50 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

74.6 
87.1 
79.9 
72.5 
72.4 
89.7 
80.0 

76.1 
82.5 
84.8 
49.3 
87.8 
97.3 

97.5 
95.2 
84.4 
93.3 
85.3 
85.9 
89.3 
89.5 

24.7 
12.2 
19.4 
27.5 
26.8 
9.8 
19.1 

23.5 
16.7 
14.7 
50.7 
11.7 
1.9 

2.1 

3.7 
15.3 

6.0 
14.0 
13.4 
10.2 

9.6 

.4 

.2 

.2 
.3 
.3 

.4 
.5 
.2 

.5 

.2 
.9 

.2 

.4 

.2 
.3 

offenses  (except  forcible  rape  and  prostitution) 

1  abuse  violations  

rises  against  family  and  children 
ing  under  the  influence 

17 
51 

1 

20 

113 
17 
67 
3 

323 

55 
221 

See  footnotes  at  end  of  table. 


231 


Table  66.  —  Suburban  Area    Arrests,  Distribution  by  Race,   1986  —  Continued 


Arrests  18  and  over 

Percent  distribution 

Offense  charged 

Total 

Wh„e 

Black 

Alaskan 

Pacific 
Islander 

Total 

White 

Black 

Alaskan 

Pacific 

2,926,650 

2,357,619 

546,720 

13,412 

8,899 

100.0 

80.6 

18.7 

.5 

3,985 
8,095 

23,002 
82,028 
83,386 
277,989 
24,037 
3,120 

2,640 
5,388 
10,890 
57,603 
60,787 
195,480 
17,508 
2,473 

1,289 
2.638 
11,986 
23.696 
22,135 
79.492 
6,356 
633 

37 
38 
79 
458 
286 
1.418 
100 
7 

19 
31 
47 
271 
178 
1,599 
73 
7 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

66.2 
66.6 
47.3 
70.2 
72.9 
70.3 
72.8 
79.3 

32.3 
32.6 
52.1 
28.9 
26.5 
28.6 
26.4 
20.3 

5 
3 

3 
5 
4 

117,110 
388,532 

76,521 
276.248 

39.609 
108,616 

612 
1,811 

368 
1.857 

100.0 
100.0 

65.3 
71.1 

33.8 
28.0 

.5 
.5 

505,642 

352,769 

148,225 

2,423 

2.225 

100.0 

69.8 

29.3 

.5 

177,590 
24,409 

116,337 
4,070 
30,319 
46,001 
41.838 

10,004 
23,316 

189,057 
5,108 
21,023 

623,268 

118,123 
216,568 
143,693 

3,798 
624,675 

1.811 

134.143 
17,529 
84,189 
3,010 
21,440 
38.853 
31,504 

6,541 
20,454 
147,380 
3,391 
15.080 
577.263 

108,487 
190.116 
117,665 

3,013 
483,296 

1.496 

41,955 
6,779 

31.753 
1,039 
8,689 
6,864 

10,039 

3,338 
2,697 

41,008 
1.701 
5,830 

41,390 

8,724 

23,795 

25,224 

739 

136,631 

300 

910 

47 

192 

2 

186 
131 

33 
87 
385 

89 

2.402 

669 
2,140 
541 
35 
3,010 
12 

582 
54 

203 
19 
76 
98 

164 

92 
78 
284 
12 
24 
2,213 

243 
517 
263 
11 

1,738 
3 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

75.5 
71.8 
72.4 
74.0 
70.7 
84.5 
75.3 

65.4 
87.7 
78.0 

71.7 
92.6 

91.8 
87.8 
81.9 
79.3 
77.4 
82.6 

23.6 
27.8 
27.3 
25.5 
28.7 
14.9 
24.0 

33.4 
11.6 
21.7 
33.3 
27.7 
6.6 

7.4 
11.0 
17.6 
19,5 
21.9 
16.6 

.5 
.2 
.2 
C) 

.4 
.3 

.3 

.2 
.1 

1.0 

.5 
.7 

Stolen  properly,  buying,  receiving,  possessing 
Vandalism 

Prostitution  and  commercialized  vice 

Sex  offenses  (except  forcible  rape  and  prostitution) ... 

Gambling 

Drunkenness 

Runaways 

'Includes  suburban 

'Viola 

4Property  crimes  ; 

■Includes  arson. 


law    .•ntnrccnicnl    agencies   within 


Excludes  central  i 


also  included  in  other  groups. 


ble  67. —  Suburban  Area    Arrests,  Distribution  by  Ethnic  Origin,  1986 

175  agencies;   1986  estimated  population  72,704.000] 


Total  all  ages 

Number  of  arrests 

Percent  distribution 

Total 

Hispanic 

Non- 
Hispanic 

Tota. 

Hispanic 

Non- 
Hispanic 

3,092,051 

307,476 

2,784,575 

100.0 

9.9 

rder  and  nonneghgent  manslaughter 
cible  rape 

ravated  assault 
glary 

3,368 
7,735 
21,046 
77,650 
110,155 
352,780 
34,434 
5,160 

508 
835 
2,575 
10.073 
12,442 
27,913 
4,379 
282 

2.860 
6,900 
18,471 
67,577 
97.713 
324,867 
30,055 
4,878 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

15.1 
10.8 
12.2 
13.0 
11.3 

7.9 
12.7 

5.5 

84.9 
89.2 
87.8 
87.0 
88.7 

on 

94.5 

109,799 
502,529 

13,991 
45,016 

95.808 

457,513 

100.0 
100.0 

12.7 
9.0 

Crime  Index  total4 

612,328 

59,007 

553,321 

100.0 

9.6 

90.4 

gery  and  counterfeiting 

189,635 
23,576 

104,594 
4,016 
36.800 
81,851 
42.861 

7,181 
25,326 
179.657 
4,492 
18.950 
568,095 

165,136 
210,001 
163,813 
4,727 
580,021 
2,863 
18.526 
47.602 

13,014 
1.255 
2.180 
166 
4.544 
4.022 
5,216 

2,549 

29,000 

610 

824 

76,411 

6,134 
45,934 

649 

42,651 

324 

1.073 

2,696 

176,621 
22,321 

102,414 
3,850 
32,256 
77,829 
37,645 

6,362 
22,777 
150,657 
3,882 
18,126 
491,684 

159,002 
164,067 
155,415 

4,078 
537,370 

2,539 
17,453 
44.906 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

6.9 

5.3 
2.1 
4.1 

12.3 
4.9 

12.2 

10.1 
16.1 
13.6 
4.3 
13.5 

3.7 
21.9 

5.1 
13.7 

7.4 
11.3 

5.8 

5.7 

93.1 
94.7 

dalism 

95.1 

offenses  (except  forcible  rape  and  prostitution) 

g  abuse  violations ....                         ........ 

nbling                      

nses  against  family  and  children 

ing  under  the  influence 

lor  laws 
nkenness 

89.9 
83.9 
86.4 
95.7 
86.5 

96.3 

78.1 

other  offenses  (except  traffic) 

ew  and  loitering  law  violations 
aways 

92.6 

94.2 
94.3 

See  footnotes  at  end  of  table 


Table  67.  —  Suburban  Area1  Arrests,  Distribution  by  Ethnic  Origin,  1986  —  Continued 


Under  18  years  of  age 

Number  of  arrests 

Percent  distribution 

Tolal 

Hispanic 

Hispanic 

Total 

H,span,c 

Hispanic 

572,887 

40,991 

531,896 

100.0 

7.2 

Murder  and  nonnegligent  manslaughter 

Forcible  rape  

Robbery 

233 
1,159 

4,388 
10,148 
42.904 
120,887 
14,223 

2,496 

34 

97 

552 

1,086 

4,333 

8,056 

1,459 

127 

199 

1,062 
3,836 
9,062 

38,571 
112,831 

12,764 
2,369 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

14.6 
8.4 
12.6 
10.7 
10.1 
6.7 
10.3 
5.1 

9 
8 

Burglary       

8 

Arson      

9 

15,928 
180,510 

1,769 
13,975 

14,159 
166,535 

100.0 
100.0 

11.1 

7.7 

196,438 

15,744 

180,694 

100.0 

8.0 

28,777 

2,233 

2,031 

224 

38,532 
7,542 

205 

4,823 

20,896 

136 

757 

9,092 

58,122 
9,015 

32,837 
1,007 

82,937 
1,187 

18,526 

47,602 

2,309 
99 
105 
22 
1,134 
1,917 
834 

13 
434 
2,753 

17 
982 

1,903 
1,878 
1,887 
101 
5.005 
79 
1,073 
2,696 

26,468 
2,134 
1,926 
202 
8,834 

36,615 
6,708 

192 

4,389 

18,143 

130 

740 

8,110 

56,219 
7,137 

30,950 
906 

77,932 
1,108 

17,453 

44,906 

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 
100.0 

8.0 
4.4 
5.2 
9.8 
11.4 
50 

6.3 
9.0 

13.2 
4.4 
2.2 

10.8 

3.3 
20.8 
5.7 
10.0 
6.0 
6.7 
5.8 
5.7 

Forgery  and  counterfeiting                            

9 

Vandalism 

Weapons;  carrying,  possessing,  etc 

I'ri'stitulion  and  commercialized  vice 

9 
8 

9 

8 

Offenses  against  family  and  children 
Driving  under  the  influence 

Liquor  laws  

1 
S 

9 

Suspicion                                                                                                                     

Curfew  and  loitering  law  violations                                                                             

Runaways 

9 
9 

(.■rid    of    lahlc 


67.  —  Suburban  Area    Arrests,  Distribution  by  Ethnic  Origin,   1986  —  Continued 


18  years  of 

age  and  over 

Number  of  arrests 

Percent  distribution 

Total 

Hispanic 

Non- 
Hispanic 

Total 

Hispanic 

Non- 
Hispanic 

TOTAL 

2,519,164 

266,485 

2,252,679 

.00.0 

10.6 

89.4 

rder  and  nonnegligent  manslaughter 

3,135 

474 

2.661 

100.0 

15.1 

84.9 

cible  rape 

6,576 

738 

5,838 

100.0 

11.2 

88.8 

hen 

16,658 

2,023 

14.635 

100.0 

12.1 

87.9 

ravated  assault 

67,502 

8,987 

58,515 

100.0 

13.3 

86.7 

glary 

67,251 

8,109 

59,142 

100.0 

12.1 

87.9 

ceny-theft 

231,893 

19,857 

212,036 

100.0 

8.6 

91.4 

or  vehicle  theft 

20,211 

2,920 

17,291 

100.0 

14.4 

85.6 

2,664 

155 

2,509 

100.0 

5.8 

94.2 

Violent  crime2 

93,871 

12,222 

81,649 

100.0 

13.0 

87.0 

Property  crime' 

322,019 

31,041 

290,978 

100.0 

9.6 

90.4 

Crime  Index  total4 

415,890 

43,263 

372,627 

100.0 

10.4 

89.6 

er  assaults 

160,858 

10,705 

150,153 

100.0 

6.7 

93.3 

gery  and  counterfeiting 

21,343 

1,156 

20,187 

100.0 

5.4 

94.6 

Lid 

102,563 

2,075 

100,488 

100.0 

2.0 

98.0 

xzzlement 

3,792 

144 

3,648 

100.0 

3.8 

96.2 

en  property;  buying,  receiving,  possessing 

26,832 

3,410 

23,422 

100.0 

12.7 

87.3 

dalism 

43,319 

2,105 

41,214 

100.0 

4.9 

95.1 

pons;  carrying,  possessing,  etc. 

35,319 

4,382 

30.937 

100.0 

12.4 

87.6 

titution  and  commercialized  vice 

6.976 

806 

6.170 

100.0 

11.6 

88.4 

offenses  (except  forcible  rape  and  prostitution) 

20,503 

2,115 

18,388 

100.0 

10.3 

89.7 

g  abuse  violations 

158,761 

26,247 

132,514 

100.0 

16.5 

83.5 

nblme 

4.356 

604 

3,752 

100.0 

13.9 

86.1 

nses  against  family  and  children 

18.193 

807 

17,386 

100.0 

4.4 

95.6 

zing  under  the  influence 

559.003 

75.429 

483.574 

100.0 

13.5 

86.5 

.or  laws 

107,014 

4,231 

102,783 

100.0 

4.0 

96.0 

nkenness 

200,986 

44.056 

156,930 

100.0 

21.9 

78.1 

rderly  conduct 

130,976 

6,511 

124.465 

100.0 

5.0 

95.0 

ranc\ 

3,720 

548 

3,172 

100.0 

14.7 

85.3 

Other  offenses  (except  traffic) 

497,084 

37,646 

459.438 

100.0 

7.6 

92.4 

icion 

1,676 

245 

1,431 

100.0 

14  b 

85.4 

ew  and  loitering  law  violations 

aways 

Violent  ci 

'In.   in. Irs 


:ity  and  county  law  enforcement  agencies  within  metropolitan  area 
offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault, 
offenses  of  burglary,  larcenytl 


also  included  in  other  groups. 


vehicle  theft,  and 


235 


Table  68.  —  Arrests  by  State,  Crime  Index  Offenses,  1986 

[1986  estimated  population] 


STATE 

Total' 
all 

Index 

Violent" 

"=' 

and  non- 
negligent 

slaughter 

Forcible 

Robbery 

Aggravated 

Burglary 

'='■ 

s 

Arson 

ALABAMA:  223  agencies; 
population  3,367,000: 

Under  18 

Total  all  ages 

13,433 
161,337 

5,556 
25,852 

410 
5,572 

5,146 
20,280 

308 

33 
476 

122 
1,008 

236 
3.780 

1.099 
3,807 

3,837 
15,591 

185 
735 

ALASKA:  2  agencies; 
population  266,000: 

2,499 
16,297 

1,624 

46 
383 

1,578 
4,885 

11 

1 
24 

64 

36 

284 

118 

277 

1,381 
4.462 

79 
138 

Total  all  ages 

ARIZONA:  89  agencies; 
population  3,260,000: 
Under  18  . 
Total  all  ages  ....... 

46,108 
203,764 

17,571 
52,606 

1,110 
7,910 

16,461 
44,696 

23 
215 

56 
404 

207 
1.196 

824 
6.095 

3,406 
7.767 

12,044 
34.814 

836 
1.807 

ARKANSAS:  177  agencies; 
population  2.252,000: 

12,695 
120,645 

4.930 
18.457 

244 
3,061 

4.686 
15.396 

179 

323 

60 
610 

136 
1,949 

1.270 
3.413 

3,201 
11.337 

198 
549 

CALIFORNIA:  677  agencies; 
population  26,792,000: 

226,819 
1,625,986 

92,199 
370,073 

12,201 
97,883 

272J90 

308 
3.122 

560 
4,522 

4,915 
24.873 

6,418 
65,366 

23.557 
77,898 

43.946 
157,796 

11.513 
34,213 

Total  all  ages 

2, 

COLORADO:  209  agencies; 

population  2.975,000: 

Under  18 

Total  all  ages 

39,045 
208,056 

14,900 

41.217 

971 
5,329 

13,929 
35,888 

186 

82 
384 

224 
043 

650 
3.816 

2,164 
5.063 

10,320 
28,097 

1,208 
2,344 

CONNECTICUT:  92  agencies; 
population  2,239,000: 

24,869 
137,997 

8.417 

908 

7.509 

91 

58 
337 

375 

466 
3,417 

1,879 

5.031 

509 

DELAWARE:  49  agencies; 
population  629,000: 

Under  18 

Total  all  ages 

4,623 
29,342 

1,813 
6,963 

206 
1,353 

1,607 
5,610 

3 

29 
185 

93 
409 

81 
730 

375 
1,177 

1,160 
4,234 

69 
182 

DISTRICT  OF  COLUMBIA': 

1  agency: 

population  626,000: 

3,894 
47.940 

2.161 
11,335 

603 
3,602 

1,558 
7,733 

8 

133 

19 

1,264 

264 
2,062 

245 
1,213 

368 
4,064 

938 
2,418 

FLORIDA:  702  agencies; 
population  11.641,000: 

Under  18 

Total  all  ages 

89,988 
627,887 

46.604 
173.011 

5.995 
41.598 

40.609 
131,413 

85 

1,242 

385 
2,394 

1,935 
11.395 

3.590 
26.567 

12.897 
35.674 

23,769 
85.299 

3,733 
9.679 

GEORGIA:  267  agencies; 
population  4,929,000: 
Under  18 
Total  all  ages 

17,103 
223,995 

8.011 
49.103 

959 
13.232 

7.052 
35.871 

37 
603 

873 

282 
2,669 

559 
9.087 

1,755 
8.052 

4.686 
25.225 

567 
2.308 

HAWAII:  3  agencies; 
population  953,000: 

12.839 

4,287 

179 

4,108 

15 

94 

61 

808 

2.866 

423 

IDAHO:  94  agencies; 
population  928,000: 

Under  18 

Total  all  ages 

12,403 
36,947 

4,970 
9.574 

253 
1.102 

4.717 
8,472 

3 
22 

12 
68 

19 

84 

219 
928 

1,011 
1.946 

3.400 
6,085 

242 
345 

ILLINOIS:  346  agencies; 
population  6,869,000: 
Under  18 
Total  all  ages 

57.944 
233,733 

19.916 
53,632 

1.625 
8.080 

18.291 
45.552 

21 
207 

155 
770 

368 
1.347 

1.081 
5,756 

3,013 
6.611 

14,462 
37,192 

661 
1.393 

. 

Sec  footnotes  at  end  of  table. 


236 


rable  68. —  Arrests  by  State,  Crime  Index  Offenses,  1986  —  Continued 


STATE 

Total1 

E2" 

w 

Property* 

negligent 

Fre 

Robbery 

Aggravated 

Burglary 

ussr 

r,e 

Arson 

NDIANA:  120  agencies; 
opulation  3,079,000: 
nder  18 

28.382 
116,323 

9,879 

949 

3,457 

8.930 
19,357 

166 

43 
170 

157 
663 

731 
2,458 

1.440 
2,959 

6,929 
15,114 

503 
1,093 

58 
191 

otal  all  ages 

DWA:  223  agencies; 
opulation  2,849,000: 
nder  18 
otal  all  ages 

20,934 
92,889 

7,714 
21,735 

390 
2,456 

7,324 
19.279 

58 

26 
134 

104 
416 

249 
1,848 

1.415 
3.114 

5.467 
15,376 

359 
655 

83 
134 

ANSAS:  122  agencies; 
opulation  1,766,000: 

otal  all  ages 

17,239 
78,962 

7,145 
19,134 

482 
2,423 

6.663 
16,711 

72 

37 
217 

80 
388 

362 

1,746 

1,356 
2.961 

4,811 
12,796 

409 
796 

87 
158 

ENTUCKY:  248  agencies; 
Dpulation  1.257,000: 

otal  all  ages 

8.519 
96,599 

2,962 
11,683 

213 
3,025 

2,749 
8.658 

5 

122 

30 

275 

27 
273 

151 
2,355 

694 
2,037 

1,785 
5,916 

212 
512 

58 
193 

OUISIANA:  75  agencies; 

jpulation  2.409,000: 

nder  18 

otal  all  ages         

15,936 
114,918 

7,087 
30,650 

869 

7.711 

6,218 
22.939 

25 
251 

60 
416 

154 
1,039 

630 
6,005 

1,676 
5,343 

4,223 
16.616 

261 

800 

58 
180 

AINE:  132  agencies; 
jpulation  1,164,000: 
nder  18 
otal  all  ages 

9,578 
42,069 

4.219 
9,872 

<m 

4.100 
8.881 

2 

24 

10 

77 

28 
147 

79 
743 

W60 

2,658 
5.927 

245 
554 

83 
140 

IARYLAND:  135  agencies; 
jpulation  4,349,000: 

otal  all  ages 

37.525 
207,699 

16.565 
52.511 

2,705 
12.016 

13.860 
40.495 

30 
386 

165 
873 

3,748 

1,346 
7.009 

3,267 
10,001 

7,569 
24,758 

2,668 
5,081 

356 
655 

ASSACHUSETTS:  168 

encies;  population  3,360,000: 
nder  18 
otal  all  ages 

15.473 
104.197 

5.993 
24,261 

1,067 
6.581 

4,926 
17,680 

8 

62 
526 

340 
1,216 

657 
4,771 

1,618 
4.978 

2,367 
10,661 

856 
1,841 

85 
200 

IICHIGAN:  448  agencies; 
pulation  8.174,000: 
nder  18 

56.066 
332,793 

23,929 
75,323 

3.717 
19.919 

20.212 
55,404 

126 
1,292 

452 

2,271 

1,233 
5,165 

1,906 
11,191 

4,746 
12,766 

13.269 
37.255 

1,969 

228 

795 

131 
255 

otal  all  ages 

INNESOTA:  288  agencies; 
pulation  4.214,000: 

otal  all  ages 

37,507 
142,435 

16.494 
36.876 

935 
4,172 

15.559 
32.704 

11 
96 

62 

414 

273 
922 

589 
2,740 

2.177 
4,623 

11,623 
25,070 

1,628 
2,756 

ISSISSIPPI:  65  agencies; 
pulation  969,000: 
nder  18 
Dtal  all  ages 

5,969 
55,826 

2,625 
11,075 

180 
1.872 

2,445 
9.203 

10 
116 

19 
170 

65 
368 

86 
1,218 

631 
2,235 

1,646 
6,485 

143 
382 

25 
101 

ISSOURI:  192  agencies; 
pulation  3,261.000: 

otal  all  ages 

27.472 
190.416 

10.950 
41.740 

1,693 
9.229 

9,257 
32.511 

20 
376 

735 

434 
2,055 

1,073 
6,063 

2.016 
6,499 

6,247 
23,536 

868 
2,118 

126 
358 

ONTANA:  20  agencies; 

pulation   197,000: 

nder  18                       

2,146 

819 
2,117 

21 
129 

798 
1,988 

4 

18 

17 
85 

64 
149 

672 
1,746 

62 
90 

Dtal  all  ages 

11 

15 

3 

See  footnotes  at  end  of  table- 

237 


Table  68.  —  Arrests  by  State,  Crime  Index  Offenses,  1986  —  Continued 


NEBRASKA:  207  agencies; 

population  1,406.000: 

Under  18 

Total  all  ages     

NEVADA:  17  agencies; 
population  780.000: 
Under  18 
Total  all  ages 

NEW  HAMPSHIRE:  90 
agencies; 

population  885,000: 
Under  18  ... 
Total  all  ages 

NEW  JERSEY:  447  agencies; 
population  6,350,000: 
Under  18... 
Total  all  ages 

NEW  MEXICO:  49  agencies; 

population  898,000: 

Under  18 

Total  all  ages 

NEW  YORK:  509  agencies; 
population  14,632,000: 
Under  18... 
Total  all  ages 

NORTH  CAROLINA:  365 

agencies; 

population  5.903,000: 

Under  18    . 

Total  all  ages 

NORTH  DAKOTA:  67  agencies; 
population  558,000: 
Under  18 
Total  all  ages 

OHIO:  331  agencies; 

population  7,495,000: 

Under  18 

Total  all  ages  

OKLAHOMA:  290  agencies; 
population  3,298,000: 

Under  18 

Total  all  ages 

OREGON:  199  agencies; 
population  2.676,000: 
Under  18 
Total  all  ages 

PENNSYLVANIA:  661  agencies; 
population  9,862,000: 

Under  18 

Total  all  ages 

RHODE  ISLAND:  41  agencies; 
population  970,000: 
Under  18 
Total  all  ages 

See  footnotes  at  end  of  table. 


negligent 


238 


able  68. —  Arrests  by  State,  Crime  Index  Offenses,  1986  —  Continued 


Murder 

STATE 

Total1 

total 

V*ne'' 

Property' 

negligent 

Forcible 

Robbery 

Aggravaied 

Burglary 

theft 

theft 

Arson 

OUTH  CAROLINA:  154 

jencies;  population  3,228,000: 

nder  18          

15,774 

7,008 

600 

6,408 

12 

73 

152 

363 

1,823 

4,147 

401 

37 

otal  all  ages 

159,216 

27,703 

5,997 

21,706 

278 

644 

910 

4.165 

5,557 

14,992 

952 

205 

OUTH  DAKOTA:  38  agencies: 

jpulatton  413,000: 

nder  18 

5,408 

1,865 

40 

1.825 

2 

4 

6 

28 

292 

1,432 

73 

28 

otal  all  ages 

23,170 

4,412 

406 

4.006 

14 

32 

37 

323 

593 

3,223 

157 

33 

ENNESSEE:  107  agencies; 

filiation  2.040.000: 

nder  18 

16,404 

6,292 

669 

5,623 

15 

94 

235 

325 

1.041 

3,743 

796 

43 

otal  all  ages                       

106,718 

20,498 

4,440 

16,058 

212 

458 

1,090 

2.680 

3.040 

11,397 

1,466 

155 

EXAS:  717  agencies; 

jpulation  1 5.949,000: 

nder  18 

136,849 

52,493 

3,894 

48,599 

167 

262 

1,496 

1,969 

13,357 

31,370 

3,577 

295 

otal  all  ages 

881,013 

188,875 

28,189 

160.686 

1.664 

2,150 

7,851 

16,524 

35,200 

112,757 

11,858 

871 

TAH:  111  agencies; 

jpulation  1.659.000: 

nder  18 

34,724 

13,129 

608 

12.521 

4 

32 

95 

477 

1,586 

10,098 

730 

107 

otal  all  ages                 

99,026 

25,493 

2,061 

23,432 

43 

150 

392 

1,476 

2,756 

19,407 

1,124 

145 

ERMONT:  15  agencies; 

'pulation  366,000: 

800 

315 

15 

300 

otal  all  ages 

8.598 

1,573 

260 

1,313 

i 

35 

20 

199 

355 

894 

43 

21 

fRGINIA:  392  agencies; 

pulation  5.787,000: 

nder  18              

38,298 

12,041 

1,021 

11,020 

26 

99 

419 

477 

2,674 

7,348 

870 

128 

otal  all  ages 

332,169 

47,527 

8,357 

39,170 

367 

838 

1,863 

5,289 

7,927 

28,247 

2.567 

429 

ASHINGTON:  155  agencies; 

pulation  3,033,000: 

nder  18    

35,434 

15,843 

548 

15,295 

8 

64 

132 

344 

3,025 

11,284 

825 

161 

otal  all  ages                

162.137 

40,814 

3,736 

37,078 

116 

482 

749 

2,389 

6,181 

29,160 

1.469 

268 

-EST  VIRGINIA:  306  agencies; 

pulation  1,882,000: 

nder  18 

6.256 

2,410 

123 

2,287 

5 

10 

44 

64 

665 

1,379 

207 

36 

otal  all  ages 

65,354 

10,893 

1,783 

9,110 

126 

149 

335 

1,173 

2.174 

6,256 

525 

155 

1SCONSIN:  236  agencies; 

pulation  3,672.000: 

nder  18 

66.802 

19,566 

713 

18.853 

4 

57 

149 

503 

2,629 

14,831 

1,167 

226 

otal  all  ages                 

212.139 

40,409 

3,425 

36,984 

50 

243 

435 

2,697 

4,936 

29,843 

1.874 

331 

TOMING:  71  agencies; 

pulation  506,000: 

nder  18     

4,735 

1,325 

40 

1,285 

4 

4 

9 

23 

187 

1,004 

82 

12 

otal  all  ages 

24,503 

3,673 

423 

3,250 

26 

37 

39 

321 

528 

2,510 

179 

33 

Does  not  include  traffic  arrests, 
includes  arson. 

Violent  crime  includes  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault. 
4Property  crime  includes  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson. 
'Population  and  arrest  data  are  not  included  in  totals. 
NOTE:  Direct  comparisons  of  arrest  totals  listed  in  this  table  should  not  be  made  with  prior  years' 


239 


Table  69.  —  Police  Disposition  of  Juvenile  Offenders  Taken  into  Custody,  1986 
[1986  estimated  population] 


Population  group 

Total1 

Handled 

Referred  to 
juvenile 

Referred  to 
agency 

Referred  to 

other  police 

agency 

Referred  to 
criminal  or 
adult  court 

TOTAL  ALL  AGENCIES:  8,646  agencies;  population  164,816,000: 

1,173,715 
100.0 

350,900 
29.9 

724,276 
61.7 

20,876 
1.8 

12,938 
1.1 

Percent2 

TOTAL  CITIES:  5,747  cities:  population  108,969,000: 

979,345 
100.0 

302,945 
30.9 

592,739 
60.5 

18,006 
1.8 

10,718 
1.1 

Percent  

Group  I 

46  cities,  250,000  and  over;  population  27,016,000: 

231.336 

63,668 

156,697 

5,113 

2.330 

3, 

Group  II 

104  cities,  100,000  to  249,999;  population  14,935,000: 

119.511 
100.0 

37,325 
31.2 

76,105 
63.7 

2.770 
2.3 

948 

.8 

Percent    

Group  III 

231  cities,  50,000  to  99,999;  population  15,781,000: 

Number 

Percent 

136,208 
100.0 

45.464 
33.4 

79,708 
58.5 

2,307 

1.7 

1.448 
1.1 

7,- 

Group  IV 

510  cities,  25,000  to  49,999;  population  17,709,000: 
Number 

Percent 

163,936 
100.0 

51,347 
31.3 

96.401 
58.8 

3,547 
2.2 

1.938 

1.2 

10, 

Group  V 

1,204  cities,  10,000  to  24,999;  population  18,997,000: 
Number 
Percent 

186.352 
100.0 

62,775 
33.7 

104.268 
56.0 

2.408 
1.3 

2.289 
1.2 

14, 

Group  VI 

3,652  cities  under  10,000;  population  14,531,000: 

Number                                                                                        

Percent 

142.002 
100.0 

42,366 
29.8 

79.560 
56.0 

1,861 
1.3 

1,765 
1.2 

16, 

Suburban  Counties 

959  agencies;  population  35,779,000: 

Number 

Percent 

146,469 
100.0 

37.327 
25.5 

99,699 

1,936 
1.3 

1,332 
.9 

6, 

Rural  Counties 

1,940  agencies;  population  20,068,000: 

47,901 
100.0 

10,628 

31,838 

934 

888 

3, 

Suburban  Area' 

4,195  agencies;  population  79,995,000: 

529,049 
100.0 

180,224 

34.1 

298,068 
56.3 

8,639 

5,593 
1.1 

<o. 

Includes  all  offenses  except    traffic   and   neglect  cases. 
^Because  of  rounding,  the  percentages  may  not  add  to  total, 
'includes  suburban  city  and  county  law  enforcement  agencies 


■tropohlan   areas     Includes  central   cities    Suburban   cities  and  counties  are   included  in  other  groups. 


iOaiu  jEnformwnt  (£ab?  nf  iEtljtrs 

Ah  a  iCani  £nfarr?tn?nt  (!Dff  ir?r,  «y  fundamental  duty  u  to 

serve  mankind;  to  safeguard  lives  ana  property;  to  protect  the  innocent  against 
deception,  the  weak  against  oppression  or  intimidation,  and  the  peaceful 
against  violence  or  disorder;  and  to  respect  the  (constitutional  rights  of  all 
men   to   liberty,   eauality   and  justice. 

jf  mtll  beep  mu  private  life  unsullied  as  an  example  to  all;  maintain  coura- 
geous calm  in  the  face  of  danger,  Scorn,  or  ridicule;  develop  self-restraint;  and 
L  constantly  mindful  of  tL  welfare  of  otLrS.  JJonest  in  thought  and  deed 
in  holh  my  personal  and  official  life,  Jf  will  be  exemplary  in  obeying  the  laws 
of  the  land  and  the  regulations  of  my  department.  Whatever  Jf  see  or  hear  of 
a  confidential  nature  or  that  is  confided  to  me  in  my  official  capacity  will  be 
hcpt  ever  secret  unless  revelation  is  necessary  in  the  performance  of  my  duty. 

i  tUtll  never  act  officiously  or  permit  personal  feelings,  prejudices,  animos- 
ities or  friendships  to  influence  my  decisions.  lAJilh  no  compromise  for  crime 
and  with  relentless  prosecution  of  criminals,  Jf  will  enforce  the  law  courteously 
and  appropriately  without  fear  or  favor,  malice  or  ill  will,  never  employing 
unnecessary  fo, 


force  or  violence  ana  never  accep 


1  rPrOgntZP  the  Ldcje  of  my  office  as  a  Symhol  of  puhlic  faith,  and 
Jf  accept  it  as  a  public  trust  to  be  held  So  long  as  Jf  am  true  to  the  ethics  of 
the  police  service.  Jf  will  constantly  strive  to  achieve  these  objectives' and  ideals, 
dedicating  myself  before   Cjod  to  my   chosen  profession   .  .  .  law  enforcement. 


241 


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,  1986.  Considering  full-time  civilians,  the 
overall  law  enforcement  employee  rate  was  2.8  per  1,000 
inhabitants  according  to  12,132  city,  county,  and  state 
police  agencies  reporting  in  1986.  These  agencies 
collectively  offered  law  enforcement  service  to  a  population 
of  nearly  225  million,  employing  475,853  officers  and 
153,892  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 
manpower  for  a  specific  locale  can  be  determined  only  after 
careful  study  and  analysis  of  the  various  conditions  affecting 
service  requirements  in  that  jurisdiction. 

City  law  enforcement  employee  averages  in  1986  ranged 
from  2.1  per  1,000  inhabitants  in  those  with  populations 
from  10,000  to  99,999  to  3.5  for  those  with  populations  of 
250,000  or  more.  Rural  and  suburban  counties  averaged 
full-time  law  enforcement  employee  rates  of  3.4  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,  October  31,  1986 


Total 
(9,253  cities; 
population 
152,175,000) 

Group  I  (60 

Group  II  (122 

Group  III  (292 

Group  IV  (643 

Group  V  (1,612 

Group  VI 

cities,  250,000 

cities.   100,000 

cities,  50,000 

cities,  25,000 

cities,   10,000 

(6,524  cities 

and  over; 

to  249,999; 

to  99,999; 

to  49,999; 

to  24,999; 

under  10,000; 

population 

population 

population 

population 

population 

population 

43.631,000) 

17,806,000) 

19,933,000) 

22,183,000) 

25,237,000) 

23,385,000) 

TOTAL: 

9,253  cities; 

population  152.175.000: 

Average  number  of  employees 

per  1,000  inhabitants 

2.6 

3.5 

2.4 

2.1 

2.1 

2.1 

2. 

Northeastern  States: 

2,380  cities; 

population  38,991,000: 

Average  number  of  employees 

per  1,000  inhabitants 

2.9 

4.6 

3.1 

2.4 

2.3 

2.0 

2. 

Midwestern  States: 

2,496  cities; 

population  38,561,000: 

Average  number  of  employees 

per  1,000  inhabitants 

2.5 

3.8 

2.2 

1.9 

1.8 

1.9 

2. 

Southern  States: 

3,146  cities; 

population  42,519,000: 

Average  number  of  employees 

per  1,000  inhabitants                     

2.8 

3.0 

2.5 

2.5 

2.4 

2.4 

3. 

Western  States: 

1,231  cities; 

population  32,104,000: 

Average  number  of  employees 

per  1,000  inhabitants 

2.4 

2.7 

2.0 

1.9 

2.0 

2.1 

3. 

Sworn  Personnel 

Rates  based  solely  on  sworn  law  enforcement  personnel 
excluding  civilians)  showed  the  national  average  for  all 
:ities  was  2.1  officers  per  1,000  inhabitants.  By  population 
grouping,  the  lowest  average  rate  (1.7)  was  for  cities  with 
wpulations  of  10,000  to  99,999;  cities  250,000  or  more  in 
>opulation  recorded  the  highest  rate,  2.8.  Suburban  county 
aw  enforcement  agencies  averaged  2.0  officers  per  1,000 
>opulation,  while  agencies  in  rural  counties  averaged  2.4. 

Regionally,  the  highest  rate  of  officers  to  population  was 
ecorded  in  the  Northeastern  States  where  there  were  2.4 
ifficers  per  1,000  inhabitants.  The  Southern  States  averaged 
1.2,  the  Midwestern  States,  2.0,  and  the  Western  States  with 
.7. 

Nationally,  as  well  as  in  city  agencies,  males  comprised  93 
>ercent  of  all  sworn  employees.   Ninety   percent  of  the 


officers  in  suburban  counties  were  males,  while  in  rural 
counties  they  accounted  for  94  percent. 
Civilian  Employees 

Civilians  made  up  24  percent  of  the  total  United  States 
law  enforcement  employee  force  in  1986.  They  represented 
20  percent  of  the  police  employees  in  cities,  32  percent  of 
those  in  suburban  counties,  and  3 1  percent  of  the  rural  law 
enforcement  strength. 

Law  Enforcement  Officers  Killed  and  Assaulted 

Sixty-six  law  enforcement  officers  were  feloniously  slain 
in  the  line  of  duty  during  1986,  11  fewer  lives  lost  than  in 
1985.  The  annual  total  was  lower  than  for  any  year  since 
1968  when  records  show  64  officers  were  slain. 

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. 


^ull-time  Law  Enforcement  Officers,  Rate  per  1,000  Inhabitants,  Region,  October  31,  1986 


Total 
(9,253  cities; 
population 
152,175,000) 

Group  I  (60 
cities,  250,000 
and  over; 
population 
43,631,000) 

Group  11  (122 

cities,   100,000 

to  249,999; 

population 

17,806,000) 

Group  III  (292 
cities,  50,000 
to  99,999; 
population 
19,933,000) 

Group  IV  (643 
cities,  25,000 
to  49,999; 
population 
22,183,000) 

Group  V  (1,612 

cities,   10,000 
to  24,999; 
population 
25,237,000) 

Group  VI 
(6,524  cities 
under  10,000; 
population 
23,385,000) 

OTAL: 

9,253  cities; 

population   152,175,000: 
Average  number  of  officers 

2.1 

2.8 

1.8 

1.7 

1.7 

1.7 

2.2 

ortheastern  States: 

2,380  cities; 
population  38,991,000: 
Average  number  of  officers 

2.4 
2.0 
2.2 
1.7 

3.8 
3.2 
2.4 
2.0 

2.6 
1.7 
1.9 

2.0 

1.9 
1.3 

1.9 

1.9 
1.4 

1.7 
1.5 
1.9 
1.6 

1.8 
2.0 
2.6 
2.6 

lidwestcrn  States: 

2,496  cities; 

population  38,561,000: 
Average  number  of  officers 

outhern  States: 

3,146  cities; 

population  42,519,000: 
Average  number  of  officers 

per  1,000  inhabitants                     

estern  States: 

1,231  cities; 

popultion  32,104,000: 
Average  number  of  officers 

Table  70.  —  Full-time  Law  Enforcement  Employees  ,  Number  and  Rate  per  1,000  Inhabitants,  Geographic  Division  and  Population  Group, 
October  31,  1986 


estimated  popula 


Total 

Populatic 

n  Group 

Group  I 

Group  II 

Group  III 

Group  IV 

Group  V 

Group  VI 

Geographic  division 

(9,253  cities; 

(60  ct.es, 

(122  cities, 

(292  cities. 

(643  cities, 

(1,612  cities. 

(6,524  cities 

population 

250,000 

100,000  to 

50,000  to 

25,000  to 

10.000  to 

under 

152,175,000) 

and  over; 

249,999; 

99.999; 

49,999; 

24,999; 

10,000; 

population 

population 

population 

population 

population 

population 

43,631,000) 

17,806,000) 

19,933.000) 

22.183,000) 

25,237.000) 

23.385.000) 

TOTAL:  9,253  cities;  population  152,175,000: 

Number  of  police  employees 

399,967 

150,863 

41,945 

42,746 

46,140 

52,778 

65,49 

Average  number  of  employees  per  1,000  inhabitants 

2.6 

3.5 

2.4 

2.1 

2.1 

2.1 

2. 

New  England:  667  cities;  population  11,076,000: 

Number  of  police  employees 

26,732 

2.541 

2,997 

6,047 

5,211 

5.820 

4,11 

Average  number  of  employees  per  1,000  inhabitants 

2.4 

4.4 

3.2 

2.3 

2.2 

2.0 

2. 

Middle  Atlantic:  1,713  cities;  population  27,915,000: 

Number  of  police  employees 

84,471 

45,100 

3.675 

7,052 

7,960 

10,436 

10.24 

Average  number  of  employees  per  1,000  inhabitants 

3.0 

4.6 

3.0 

2.4 

2.3 

2.0 

2. 

East  North  Central:  1,774  cities;  population  28,302,000: 

Number  of  police  employees 

72,734 

28,637 

5.359 

8.029 

8.570 

10,915 

11.22 

Average  number  of  employees  per  1,000  inhabitants 

2.6 

4.1 

2.2 

2.0 

1.8 

1.9 

2. 

West  North  Central:  722  cities;  population  10,259,000: 

Number  of  police  employees 

22,445 

6,520 

1,989 

1,764 

3.089 

4,260 

4,82 

Average  number  of  employees  per  1,000  inhabitants 

2.2 

3.1 

2.0 

1.7 

2.0 

2. 

South  Atlantic:  1,462  cities;  population  16,900,000: 

Number  of  police  employees 

54,220 

14,746 

8,793 

4.669 

6,893 

7.034 

12.08 

Average  number  of  employees  per   1,000  inhabitants 

3.2 

3.8 

2.8 

3.0 

2.7 

2.8 

3. 

East  South  Central:  720  cities;  population  7,675,000: 

Number  of  police  employees 

19,923 

4.523 

3,272 

721 

2.474 

3,322 

5.61 

Average  number  of  employees  per  1,000  inhabitants 

2.6 

2.6 

2.5 

2.4 

2.3 

2.3 

3. 

West  South  Central:  964  cities;  population  17,944,000: 

Number  of  police  employees         

43.513 

17,512 

4,917 

4,563 

3.164 

5.326 

8,03 

Average  number  of  employees  per  1,000  inhabitants 

2.4 

2.6 

2.0 

2.2 

1.9 

2.1 

3. 

Mountain:  519  cities;  population  8,597,000: 

Number  of  police  employees      

21,663 

8,104 

3,319 

2.044 

2.037 

2.085 

4.07 

Average  number  of  employees  per  1,000  inhabitants 

2.5 

2.8 

2.4 

1.8 

2.1 

2.3 

3 

Pacific:  712  cities;  population  23,507,000: 

Number  of  police  employees 

54,266 

23,180 

7,624 

7,857 

6,742 

3,580 

5.2S 

Average  number  of  employees  per  1.000  inhabitants 

2.3 

2.6 

1.9 

1.9 

1.9 

2.0 

3 

,!!■,.       '      ■ 


Suburban2:  5,516  agencies;  population  88,906,000: 

Number  of  police  employees    

Average  number  of  employees  per   1,000  inhabitants 


County:  2,879  agencies;  population  72,667,000: 

Number  of  police  employees 

Average  number  of  employees  per   1,000  inhabitants 


nforcement  agencies  within  metropolit 


able  71. 
986 


1986  estimated  popula 


Full-time  Law  Enforcement  Officers,  Number  and  Rate  per  1,000  Inhabitants,  Geographic  Division  and  Population  Group,  October  31, 


Total 

Population  Group 

Group  I 

Group  11 

Group  III 

Group  IV 

Group  V 

Group  VI 

(9,253  cities; 

(60  cities. 

(122  cities. 

(292  cities. 

(643  cities. 

(1,612  cities. 

(6.524  cities 

Geographic  division 

population 

250,000 

100,000  to 

50.000  to 

25.000  to 

10.000  to 

under 

152,175,000) 

and  over; 

249.999; 

99,999; 

49.999. 

24,999; 

10,000; 

population 

population 

population 

population 

population 

population 

43,631.000) 

17,806,000) 

19,933.000) 

22,183,000) 

25,237,000) 

23,385,000) 

OTAL:  9,253  cities;  papulation  152,175,000: 

Number  of  police  officers 

318,484 

121,234 

32,330 

33,691 

36,994 

42,863 

51,372 

Average  number  of  officers  per  1,000  inhabitants 

2.1 

2.8 

1.8 

1.7 

1.7 

1.7 

2.2 

Jew  England:  667  cities;  population  11,076,000: 

Number  of  police  officers 

22,702 

1.946 

2.528 

5,267 

4,588 

5,042 

3,331 

Average  number  of  officers  per  1,000  inhabitants 

2.0 

3.4 

2.7 

2.0 

1.9 

1.8 

2.0 

liddle  Atlantic:  1,713  cities;  population  27,915,000: 

Number  of  police  officers 

71,314 

37,498 

3,177 

6.003 

6,801 

9,033 

8,802 

Average  number  of  officers  per   1,000  inhabitants 

2.6 

3.8 

2.6 

2.0 

2.0 

1.7 

1.7 

jist  North  Central:  1,774  cities;  population  28,302,000: 

Number  of  police  officers                

60.324 

24,810 

4,364 

6,471 

6.922 

8,770 

8.987 

Average  number  of  officers  per   1,000  inhabitants 

2.1 

3.5 

1.8 

16 

1.5 

1.5 

2.0 

Vest  North  Central:  722  cities;  population  10,259,000: 

Number  of  police  officers 

17.584 

4,915 

1.509 

1.418 

2,452 

3.366 

3,924 

Average  number  of  officers  per   1.000  inhabitants 

1.7 

2.3 

1.5 

1.4 

1.3 

1.6 

1.9 

outh  Atlantic:  1,462  cities;  population  16,900,000: 

Number  of  police  officers 

42,710 

11,754 

6,831 

3.511 

5,444 

5.569 

9,601 

Average  number  of  officers  per  1,000  inhabitants 

2.5 

3.0 

2.1 

2.3 

2.1 

2.2 

3.0 

ast  South  Central:  720  cities;  population  7,675,000: 

Number  of  police  officers 

15,266 

3,423 

2,334 

551 

1,969 

2.684 

4,305 

Average  number  of  officers  per   1.000  inhabitants 

2.0 

2.0 

1.8 

1.9 

1.8 

1.9 

2.3 

Vest  South  Central:  964  cities;  population  17,944,000: 

Number  of  police  officers 

33,865 

13,942 

3,953 

3,505 

2.439 

4,237 

5,789 

Average  number  of  officers  per  1,000  inhabitants 

1.9 

2.1 

1.6 

1.7 

1.5 

1.6 

2.3 

lountain:  519  cities;  population  8,597,000: 

Number  of  police  officers 

15,712 

5.823 

2,329 

1,513 

1.524 

1.520 

3.003 

Average  number  of  officers  per  1,000  inhabitants 

1.8 

2.0 

1.7 

1.3 

1.5 

1.7 

2.5 

acific:  712  cities;  population  23,507,000: 

Number  of  police  officers 

39.007 

17.123 

5,305 

5.452 

4.855 

2.642 

3.630 

Average  number  of  officers  per  1,000  inhabitants 

1.7 

1.9 

1.3 

1.3 

1.4 

1.5 

2.7 

Suburban  and  County 


uburban1:  5,516  agencies;  population  88,906,000: 

Number  of  police  officers 

Average  number  of  officers  per   1,000  inhabitants 


County:  2,879  agencies;  population  72,667,000: 

Number  of  police  officers 

Average  number  of  officers  per   1,000  inhabitants 


Includes  suburban  city  and  county  law  enforcement  agencies  within  metropolil 


itral  cities.  Suburban 


also  included 


245 


Table  72.  —  Full-time  Law  Enforcement  Employees,  October  31,  1986 

[Range  in  rate  per  1.000  inhabitants] 


Rate 

Total' 

(8.871  cities; 
population 
152,175,000) 

Group  I  (60 
cities,  250,000 

population 
43,631,000) 

Group  II  (122 

cities,   100,000 

to  249,999; 

population 

17,806,000) 

Group  III  (292 
cit.es,  50,000 
to  99,999; 
population 
19,933,000) 

Group  IV  (643 
cities,  25.000 
to  49,999; 
population 
22,183,000) 

Group  V  (1,612 
cities,   10,000 
to  24,999; 
population 
25,237,000) 

Group  VI 
(6,142  cities 
under  10,000; 
population 
23,385,000) 

.1-.5 

Number 

181 

1 

19 

16 

Number 
Percent 

Number 

658 
7.4 

1,290 

1 
.3 

41 

17 
2.6 

101 
15.7 

59 

3.7 

225 
14.0 

1.1-1.5 

7 

5.7 

91 

1.6-2.0 

Number 
Percent 

2,051 
23.1 

5 
8.3 

37 
30.3 

99 
33.9 

245 
38.1 

508 
31.5 

1.15 
18. 

2.1-2.5 

Number 
Percent 

1,785 
20.1 

18 
30.0 

33.6 

94 

32.2 

165 

25.7 

461 
28.6 

1.00! 

16. 

2.6-3.0 

Number 
Percent 

1,095 
12.3 

17 
28.3 

22 
18.0 

34 
11.6 

75 
11.7 

212 
13.2 

73 

12. 

3.1-3.5 

Number 
Percent 

632 
7.1 

8 
13.3 

9 

7.4 

13 
4.5 

19 
3.0 

77 
4.8 

50 

8. 

3.6-4.0 

Number 
Percent 

373 
4.2 

6.7 

2 
1.6 

2.1 

2.3 

31 

1.9 

31 

5. 

4.1-4.5 

Number 
Percent 

209 
2.4 

2 
3.3 

4 
3.3 

2 

.7 

14 
.9 

18 
3. 

Number 

157 

4 
6.7 

2 

.7 

3 
.2 

2. 

Number 

440 

2 

3 

Total 
Percent2 

8,871 
100.0 

60 
100.0 

122 
100.0 

292 
100.0 

643 
100.0 

1,612 
100.0 

6,14 
100. 

from  this  table. 


>i!e  these  figures  differs  from  the  other  Law  Enforcement  Employee  tables 


246 


able  73.  —  Full-time  Law  Enforcement  Officers,  October  31,  1986 

Lange  in  rate  per   1,000  inhabitants] 


Rate 
range 

Total1 
(8.871  cities; 
population 
152,175.000) 

Group  I  (60 
cities.  250.000 

population 
43.631.000) 

Group  II  (122 

cities.   100,000 

to  249,999; 

population 

17,806,000) 

Group  III  (292 
cities,  50,000 
to  99.999; 
population 
19.933.000) 

Group  IV  (643 
cities.  25.000 
to  49,999; 

22,183.000) 

Group  V  (1,612 

cities.   10.000 
to  24.999; 

25.237.000) 

Group  VI 
(6.142  cities 
under   10,000; 
population 
23,427,000) 

.1-.5 

Number 

212 
2.4 

1 
.2 

26 
1.6 

185 

3.0 

.6-1.0 

Number 

905 
10.2 

2 
1.6 

18 

6.2 

58 
9.0 

119 

7.4 

708 

11.5 

1.1-1.5 

Percent 

2,354 
26.5 

6 
10.0 

44 
36.1 

118 
40.4 

250 
38.9 

528 
32.8 

1,408 
22.9 

1.6-2.0 

Number 

2,466 
27.8 

23 
38.3 

45 
36.9 

96 
32.9 

209 
32.5 

571 
35.4 

1.522 
24.8 

2.1-2.5 

Number 
Percent 

1,325 
14.9 

16 
26.7 

15 
12.3 

45 
15.4 

84 
13.1 

259 
16.1 

906 
14.8 

2.6-3.0 

Number 
Percent 

643 
7.2 

6.7 

11.5 

8 

2.7 

28 
4.4 

76 
4.7 

513 
8.4 

3.1-3.5 

Number 
Percent 

350 
3.9 

4 

6.7 

.8 

6 

11 

1.7 

23 
1.4 

305 
5.0 

3.6^t.O 

Number 
Percent 

161 
1.8 

3 

5.0 

.8 

I 

« 

150 
2.4 

4.1^*.5 

Number 
Percent 

117 
1.3 

2 

3.3 

.2 

2 
.1 

112 
1.8 

4.6-5.0 

Number 
Percent 

63 

.7 

1.7 

1 
.1 

61 
1.0 

5.1  and  over 

Number 
Percent 

275 
3.1 

1.7 

1 
.2 

1 
.1 

272 

Total 
Percent2 

8,871 
100.0 

60 
100.0 

122 
100.0 

292 
100.0 

643 
100.0 

1,612 
100.0 

6,142 
100.0 

The  number  of  agencies  used  to  compile  these  figures  differs 
l  this  table. 
2Because  of  rounding,  percentages  may  not  add  to  totals. 


other  Law  Enfon 


Table  74.  —  Law  Enforcement  Employees,  Percent  Male  and  Female,  October  31,  1986 

[1986  estimated  population] 


Total  police  employees 

Police  officers  (sworn) 

Civilian  employees 

Population  group 

Total 

PZT 

S 

Total 

Percent 

femaTe' 

To* 

Percent 

toS! 

TOTAL  AGENCIES:  12,132  agencies; 

629,745 
399,967 

78.9 
80.5 

21.1 
19.5 

475,853 
318,484 

92.8 
93.3 

7.2 
6.7 

153,892 
81,483 

36.0 
30.6 

TOTAL  CITIES:  9,253  cities; 

GROUP  I 

60  cities,  250,000  and  over; 

population  43,631,000:  

8  cities,   1,000,000  and  over; 

population  19,993,000: 

16  cities,  500,000  to  999,999; 

population  10,683,000: 

36  cities,  250,000  to  499,999; 

population  12,955,000: 

150.863 
81,515 
34.178 
35,170 

79.4 
80.1 
80.0 
77.1 

20.6 
19.9 
20.0 
22.9 

121.234 
67,107 
27,353 
26,774 

90.4 
89.7 
91.2 
91.2 

9.6 
10.3 
8.8 
8.8 

29,629 
14.408 
6,825 
8,396 

34.5 
35.4 
35.5 
32.2 

65.5 
64.6 
64.5 
67.8 

GROUP  II 

122  cities,   100,000  to  249,999; 

GROUP  III 

292  cities,  50,000  to  99,999; 

GROUP  IV 

643  cities,  25,000  to  49,999; 

74  6 

GROUP  V 

1,612  cities,   10,000  to  24,999; 

population  25,237,000: 

52,778 

82.9 

17.1 

42,863 

96.0 

4.0 

9.915 

26.2 

73.8 

GROUP  VI 

6,524  cities  under  10,000; 

population  23,385,000: 

65,495 

81.8 

18.2 

51.372 

95.1 

4.9 

14,123 

33.5 

66.5 

SUBURBAN  COUNTIES 

656  agencies;  population  42,452.000: 

126,103 

747 

25.3 

86.059 

89.8 

10.2 

40,044 

42.2 

57.8 

RURAL  COUNTIES 

SUBURBAN  AREA' 

5,516  agencies;  population  88,906,000: 

232,893 

78.2 

21.8 

171,492 

92.7 

7.3 

61,401 

37.7 

62.3 

Includes  suburban  city  and  i 


law  enforcement  agencies  within 


Table  75.  —  Civilian  Law  Enforcement  Employees, 

[1986  estimated  population] 


metropolitan  areas.  Excludes  central  cities.  Suburban  cities  and 
of  Total,  Population  Group,  October  31,  1986 


included  in  other  groups. 


Population  group 


Percent 
employees 


Population  group 


Percent 

employees 


TOTAL  CITIES:  9,253  cities; 
population  152,175,000: 


643  cities,  25,000  to  49,999; 
population  22,183,000:  „ 


population  43,631,000: 

ities,  1,000,000  and  over; 

population  19,993,000: 

cities,  500,000  to  999,999; 

population  10,683,000: 

cities,  250,000  to  499,999; 

population  12,955,000: 


,612  cities,   10,000  to  24,999; 
population  25,237,000:  ,.... 


6,524  cities  under  10,000; 
population  23,385,000: 


SUBURBAN  COUNTIES 


cities,   100,000  to  249,999; 

population  17,806,000: 

GROUP  III 

cities,  50,000  to  99,999; 

population  19,933,000: 


RURAL  COUNTIES 


2,223  agencies; 
population  30,214,000: 


SUBURBAN  AREA1 


5,516  agencies; 
population  88,906,000: 


Includes  suburban  city  and  county  law  enforcement  agencies  within  metropolitan  areas.  Excludes  central  cities.  Suburban  cities  and 


included  in  other  groups. 


248 


ible  76. —  Full-time  State  Law  Enforcement  Employees,  October  31 

1986 

N 

jmber  of  law  enforcement  employees 

State 

Number  of  law  enforcement  employees 

Total 

Officers 

Civilians 

Total 

Officers 

Civilians 

State 

Male 

Female 

Male 

Female 

Male 

Female 

Male 

Female 

otal 

71,355 

47,515 

1,690 

9,435 

12,715 

Nebraska  State  Patrol 
Nevada  Highway  Patrol 
New  Hampshire  State 

546 
329 

427 
229 

6 

56 
33 

57 
62 

5 

labama  Department  of 

Police 

300 

218 

8 

29 

45 

Public  Safety 

1,272 

738 

13 

197 

324 

New  Jersey  Division  of 

laska  State  Police 

771 

353 

12 

230 

176 

Law  and  Public  Safety 

3.675 

2,435 

55 

618 

567 

jizona  Department  of 

New  Mexico  State  Police 

584 

336 

6 

85 

157 

Public  Safety 

1,559 

911 

38 

306 

304 

xkansas  State  Police 

645 

470 

12 

70 

93 

New  York  State  Police 

4,617 

3,635 

154 

272 

556 

alifornia  Highway 

North  Carolina  State 

Patrol 

7,687 

5,202 

329 

865 

1.291 

Highway  Patrol 

North  Dakota  Highway 

1,457 

1,133 

8 

193 

123 

olorado  State  Patrol 

726 

502 

12 

86 

126 

Patrol       

193 

114 

2 

43 

34 

onnecticut  State  Police 

1.419 

891 

44 

245 

239 

Ohio  State  Highway 

elaware  State  Police 

610 

443 

23 

63 

81 

Patrol 

2.074 

1.164 

44 

437 

429 

orida  Highway  Patrol  . 

2,030 

1.404 

106 

201 

319 

Oklahoma  Department 

eorgia  Department  of 

Public  Safety 

1.212 

720 

5 

256 

231 

Public  Safety 

1,560 

803 

13 

202 

542 

Oregon  State  Police 

956 

794 

20 

27 

115 

laho  State  Police 

215 

176 

1 

7 

31 

Pennsylvania  State  Police 

4.847 

3,774 

104 

432 

537 

inois  State  Police 

2,269 

1.602 

94 

247 

326 

Rhode  Island  State 

tdiana  State  Police 

1,693 

1.062 

26 

273 

332 

Police 

190 

153 

3 

26 

8 

>wa  Department  of 

South  Carolina  Highway 

Public  Safety 

760 

523 

14 

102 

121 

Patrol 

1.006 

841 

18 

46 

101 

ansas  Highway  Patrol 

598 

435 

5 

77 

81 

South  Dakota  Highway 
Patrol 

225 

161 

2 

53 

9 

entucky  State  Police 

1,653 

931 

16 

395 

311 

ouisiana  State  Police 

1.001 

723 

6 

98 

174 

Tennessee  Department  of 

[aine  State  Police 

569 

370 

9 

105 

85 

Safety 

1,341 

759 

19 

60 

503 

aryland  State  Police 

2,185 

1,487 

81 

231 

386 

Texas  Department  of 

lassachusetts  State 

Public  Safety 

4.769 

2,563 

46 

569 

1.591 

Police 

1,264 

1.024 

58 

110 

72 

Utah  Highway  Patrol 
Vermont  Department  of 

471 

362 

19 

18 

72 

ichigan  State  Police 

3,041 

2.052 

92 

447 

450 

Public  Safety 

392 

255 

6 

50 

81 

innesota  Highway 

Virginia  State  Police 

1,944 

1.401 

45 

153 

345 

Patrol  

675 

478 

11 

127 

59 

lississippi  Highway 

Washington  State  Patrol 

1,533 

801 

27 

404 

301 

Safety  Patrol 

768 

440 

5 

91 

232 

West  Virginia  State 

lissouri  State  Highway 

Police   

876 

562 

10 

99 

205 

Patrol 

1,759 

861 

8 

582 

308 

Wisconsin  State  Patrol 

640 

445 

44 

87 

64 

bntana  Highway  Patrol 

242 

192 

5 

21 

24 

Wyoming  Highway 
Patrol 

207 

160 

' 

11 

35 

249 


Table  77. —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1986 


City 

Total 
police 

employees 

Total 
officers 

Total 
civilians 

City 

Total 
employees 

Total 

Total 

ALABAMA 

ALABAMA— Continued 

Abbeville 

10 

7 

3 

Gadsden 

119 

107 

Adamsville 

7 

5 

2 

Garden  City 
Gardendale 

1 

Addison 

5 

3 

2 

19 

Alabaster 

18 

14 

4 

13 

8 

Albertville 

26 

22 

Glencoe.. 

7 

Alexander  City 

37 

32 

5 

Goodwater 

10 

6 

AliceviUe    . 

10 

5 

5 

5 

29 

23 

6 

Graysville 

Greensboro 

6 

6 

Anniston 

111 

81 

30 

8 

6 

Arab 

19 

14 

5 

Greenville 

27 

21 

Ardmore 

9 

5 

4 

Grove  Hill 

7 

6 

Ashford 

9 

4 

5 

Gum 

5 

4 

Ashland 

4 

4 

Gulf  Shores 

20 

15 

Athens 

36 

30 

6 

Guntersville 

27 

21 

Atmore 

25 

19 

6 

Gurley 

4 

4 

Attalla 

17 

14 

3 

Haleyville 

17 

12 

Auburn 

65 

48 

17 

Hamilton 

8 

8 

Bay  Minette 

14 

14 

Hanceville 

10 

6 

Bayou  La  Batre 

16 

II 

5 

Hartford 

9 

6 

Bessemer 

83 

70 

13 

Hartselle 

20 

15 

Birmingham 

863 

666 

197 

Hayneville 

2 

2 

Blountsville 

6 

4 

2 

Headland 

8 

5 

Boaz 

25 

20 

5 

Heflin 

16 

13 

Brantley 

4 

4 

Helena 

9 

5 

Brewton 

23 

18 

5 

Hokes  Bluff 

5 

4 

Bridgeport 

8 

5 

3 

Hollywood 

4 

2 

Brilliant 

2 

2 

Homewood 

58 

47 

Brundidge 

10 

6 

4 

Hoover 

67 

55 

j 

Butler 

7 

4 

3 

Hueytown 

18 

14 

Camden 

9 

5 

4 

Huntsville 

343 

256 

8 

Camp  Hill 

4 

4 

Hurtsboro 

6 

4 

Carbon  Hill 

9 

5 

4 

Irondale 

23 

15 

Cedar  Bluff 

6 

3 

3 

Jackson 

19 

14 

Centre 

13 

8 

5 

Jacksonville 

26 

20 

Centreville 

3 

3 

Jasper 

54 

35 

1 

Chatom 

8 

4 

4 

Jemison 

2 

2 

Cherokee 

4 

3 

1 

Klllen ... 

3 

3 

Chickasaw 

19 

19 

Kimberly 

4 

3 

Childersburg 

16 

12 

4 

Lafayette 

14 

10 

Citronelle 

14 

14 

Lanett 

23 

Clanton 

21 

18 

3 

Leeds  ... 

22 

18 

Clayhatchce 

2 

2 

Leighton 

4 

4 

Columbiana 

9 

6 

3 

Level  Plains 

Coosada 

2 

2 

Lexington 

Cordova 

7 

4 

3 

Lincoln 

9 

6 

Cottonwood 

2 

2 

Linden 

6 

6 

Courtland 

5 

5 

Lineville 

8 

6 

Creola 

9 

6 

3 

Llttleville 

10 

5 

Cullman 

36 

26 

10 

Livingston 

12 

7 

Dadeville 

8 

8 

Luverne 

14 

10 

Daleville 

21 

15 

6 

Madison 

26 

20 

Daphne 

12 

7 

5 

Maplesville 

8 

2 

Decatur 

87 

78 

9 

Marion 

14 

8 

Demopolis 

21 

15 

6 

Midfield 

18 

13 

Dora 

5 

4 

1 

Millbrook 

14 

8 

Dothan 

118 

82 

36 

Mobile 

520 

328 

19 

East  Brewton  .. 

6 

4 

2 

Monroeville 

21 

16 

Eclectic- 

7 

4 

3 

Montevallo 

11 

7 

Elba 

14 

10 

4 

Montgomery 

516 

390 

12 

Enterprise 

42 

28 

14 

Moody 

9 

5 

Eufaula 

29 

23 

6 

Moulton 

10 

9 

Eutaw 

12 

8 

4 

Moundville 

6 

4 

Evergreen 

14 

10 

4 

Mountain  Brook. 

53 

44 

Fairfield 

30 

24 

6 

Mount  Vernon 

6 

5 

Fairhope 

17 

12 

5 

Muscle  Shoals 

25 

25 

FalkviUe 

3 

3 

New  Brockton 

5 

4 

Fayette 

9 

9 

New  Hope 

4 

4 

Flint  City 

2 

2 

Newton 

8 

4 

Flomaton 

10 

6 

4 

Northport 

35 

30 

Florala 

8 

4 

4 

Notasulga 

8 

4 

Florence 

90 

70 

20 

Oneonta 

16 

12 

I  olej 

18 

13 

5 

Opehka 

66 

55 

1 

Fort  Deposit 

3 

3 

Opp 

21 

16 

Fort  Payne 

35 

26 

9 

Orange  Beach 

9 

5 

Fultondale 

17 

13 

4 

oss  Roads 

250 


able  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1986-  -Continued 


Total 
mployei 


Total 


ALABAMA— Continued 


ALASKA— Continued 


Ketchikan 
Klawock 
Kodiak 
Kotzebue 

North  Pole 

North  Slope  Borough 

Palmer 

Petersburg 

Sitka 
Skagway 
Soldotna 
Wrangell 

ARIZONA 


Apache  Junctk 

Avondale 

Benson 

Bisbee 

Buckeye 

Bullhead  City 

Casa  Grande 

Chandler 

Chino  Valley 

Clarkdale 

Coolidge 

Cottonwood 

Eagar 

El  Mirage 

Eloy 

Flagstaff 

Florence 

Fredonia 

Gilbert 

ndale 
Globe 
Goodyear 
Hayden 
Holbrook 


CStj 


Huachut 

Kingman 

Lake  Havasu 

Mammoth 

Marana 

Miami 

Nogales 

Oro  Valley 

Page 

Paradise  Valley 

Parker 

Peoria 
Phoenix 
Pima 

'inetop-Lakeside 
Prescott 
Prescott  Valley 
SaiTord 
Saint  Johns 

Scottsdale 
Show  Low  ... 
Sierra  Vista 
Snowflake- Taylor 

Somerton 

South  Tucson 
Springerville 


251 


Table  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1986 — Continued 

Total 


ARIZONA— Continued 


ARKANSAS — Continued 


Superior 
Surprise 

Thatcher 
Tolleson 
Tombstone 

Wickenburg 

Willcox 

Williams 

Winslow 

Youngtown 

Yuma 


ARKANSAS 


Alma       . 

Arkadelphia 

Ashdown 

Bald  Knob 

Barling 

Beebe 

Bentonville 

Berry  ville 

Blytheville 
Booneville 
Bradford 
Brinkley 

Bull  Shoals 

Cabot 

Camden 

Carlisle 

Clarksville 

Conway 

Corning 

Cotter    

Crossett 
Danville 
Dardanelle 
De  Queen 
Dermott 
Des  Arc 
De  Vails  Bluff 
De  Witt 

Earle 

El  Dorado 
England 
Eudora 

Eureka  Springs 
Fairfield  Bay 
Farmington 
Fayetteville 
Fordyce 
Forrest  City 
Fort  Smith 
Gassville 

Gravette 
Green  Forest 
Greenwood 

Hamburg 
Harrison 

Heber  Springs 
Helena 

Horseshoe  Bend 
Hot  Springs 


Judsonia 
Kensett 
Lake  Village 
Lincoln 
Little  Rock 

Magnolia 

Malvern 

Marianna 

Marion 

Marked  Tree 

Maumelle 

McCrory 

McGehee 

Monticello 

Mornlton 

Mountain  Home 

Nashville 

Newport 

North  Little  Rock 

Osceola 

Ozark 

Paragould 

Paris 

Piggott 

Pine  Bluff 

Pocahontas 

ne  Grove 
Prescott 

Russellville 

Shendan 
Sherwood 
Siloam  Springs 
Smackover 
Spnngdale 
Star  City 
lttgart 

Texarkana 

Trumann 

Vilonia 
Waldron 

mt  Ridge 
Warren 
West  Fork 
West  Helena 
West  Memphis 
Wynne 
Yellville 


CALIFORNIA 


Adelanto 
Alameda 

Albany  

Alhambra 
Alturas   .    . 
Anaheim 
Anderson 
Angels  Camp 
Antioch 
Arcadia .... 


able  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1986 — Continued 


Total 
police 


Total 
police 

employees 


CALIFORNIA— Continued 


CALIFORNIA— Continued 


East  Palo  Alto 

El  Cajon 

El  Centre 
El  Cerrito 
El  Monte 
El  Segundo 
Emeryville 
Escalon 
Escondido 
Etna 

Exeter 

Fairfield 
Farmersville 

Fillmore 

Firebaugh 

Folsom 

Fontana 

Fort  Bragg 

Fort  Jones 

Fortuna 

Foster  City 

Fountain  Valley 

Fowler 

Fremont 

Fullerton 
Gait 

Gardena 
Garden  Grove 

Glendale 
Glendora 
Gonzales 
Grass  Valley 
Greenfield 

Grover  City 
Guadalupe 


Half  Moon  Bay 

Hanford 

Haw'horne  

Hayward 

Healdsburg 

Hemet 
Hercules 

Hermes;!    Hr.K  h 

Hillsborough 

Hollister 

Holtville 

Hughson 

Huntington  Beach 

Huntington  Park 

Huron 

Indio 
Inglewood 


Irvine 

Isleton 
Jackson 
Kensington 

Kerman 

King  City 
Kingsburg 
Laguna  Beach 
La  Habra 
Lakeport 
Lake  Shastina 


Table  77. —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1986 — Continued 

T°tal      I      Total      I      Total      |  _ 

employees       °mcers        civilians  employees 


CALIFORNIA— Continued 


CALIFORNIA— Continued 


La  Verne 

Lemoore 

Lincoln 

Lindsay 

Livermore 

Livingston  - 

Lodi 

Lompoc 

Long  Beach  

Los  Alamitos 

Los  Altos 

Los  Angeles 

Los  Banos 

Los  Gatos 
Madera 
Manhattan  Beach 

Manteca 

Mancopa 

Marina      

Martinez 

Marysville 

Maywood  .. 

McFarland 

Mendota  

Menlo  Park 

Merced 

Millbrae 

Mill  Valley 

Milpitas    

Modesto   

Monrovia 

Montclair 

Montebello 

Monterey 

Monterey  Park 

Morgan  Hill 

Morro  Bay 

Mountain  View 

Mount  Shasta 

Napa 

National  City 

Needles  

Nevada  City 

Newark    

Newman 

Newport  Beach 

Novato  

Oakdale    

Oakland 

Oceanside 

Ontario 

Orange 

Orland 
Oroville 

Oxnard    

Pacifica 

Pacific  Grove 

Palm  Springs 

Palo  Alto 

Palos  Verdes  Estates 

Paradise 

Pasadena 

Paso  Robles 

Patterson 
Perns 

Petaluma  

Piedmont 

Pinole 

Pismo  Beach 

Pittsburg 

Placentia 

Placerville 


Pleasant  Hill 

Pleasanton 
Pomona 

Porterville  

Port  Hueneme 
Red  Bluff 

Redding     

Redlands 
Redondo  Beach 
Redwood  City 
Reedley 
Rialto 

Richmond    

Ridgecrest 
Rio  Dell 
Rio  Vista 

Riverbank 

Riverside  

Rocklin 
Rohnert  Park 

Roseville  

Ross 

Sacramento 

Saint  Helena 

Salinas 

San  Anselmo 

San  Bernardino 

San  Bruno  

San  Carlos 

San  Clemente 

Sand  City 
San  Diego 

San  Fernando 

San  Francisco 

San  Gabriel 

Sanger 

San  Jacinto 

San  Jose    

San  Juan  Bautista 
San  Leandro 
San  Luis  Obispo 

San  Mateo 

San  Pablo 

San  Rafael 
Santa  Ana 

Santa  Barbara 

Santa  Clara 
Santa  Cruz 
Santa  Maria 
Santa  Monica 
Santa  Paula 
Santa  Rosa 
Sausalito  . 
Scotts  Valley 
Seal  Beach 

Sebastopol 
Selma 
Shafter 
Sierra  Madre 
Signal  Hill 
Simi  Valley 
Soledad 
Sonoma 

South  Gate 
South   Lake  Tahoe 
South  Pasadena 

South   San    Franciso 
Stallion   Springs 

Stockton 


Table  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1986 — Continued 

Total  _  ._,  __  ,  Total 

employees  employe' 


CALIFORNIA— Continued 

COLORADO 

*k 

Ige 

i 

Buena  Vista 

Burlington 

Calhan 

Canon  City 

Carbondale 

Castle  Rock 

Cedaredge 

Center 

Central  City 

Cherry  Hills  Village 

Colorado  Springs 

Commerce  City  

Cortez 
Craig 
Crested  Butte 


COLORADO— Continued 


Cripple  Creek 

Dacono 

De  Beque 

Del  Norte 

Delta 

Denver 

Dillon 

Dinosaur 

Dolores 

Durango 

Eagle...  . 

Edgewater 

Englewood 

Erie 

Estes  Park 

Fairplay  

Federal  Heights 

Firestone  

Flagler 

Florence 

Fort  Collins 

Fort  Lupton 
Fort  Morgan 

Fowler 

Frederick  

Fruita 

Glendale 

Glenwood  Springs 

Golden 

Granada    

Grand  Junction 

Greeley  

n  Mountain  Falls 
Greenwood  Village 
Gunnison 
Haxtun 
Hayden 
Holly 
Holyoke 
Idaho  Springs 
Ignacio 

Kremmling 

Lafayette  

Lakewood 

La  Salle 
Las  Animas 
Leadville 

Limon 

Littleton 

Log  Lane  Village 

Longmont 

Louisville 

Loveland 

Lyons 

Manassa 

Mancos  . 

itou  Springs 

MiDiken 

Minturn 
Monte  Vista 
Montrose 
Mountain  View 
Mount  Crested  Butte 
Nederland    


Table  77. —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,   1986 — Continued 


Total 
police 

i/niplr.vecs 


Total 

police 

employees 


COLORADO — Continued 

New  Castle 

Northglenn 

Oak  Creek 

Olathe 

Ordway 

Pagosa  Springs 

Palisade 

Palmer  Lake 

Paonia 

Parachute 

Parker  

Platteville 

Pueblo  

Rangely  

Rifle 

Rocky  Ford    

Salida 

Shendan  

Silt 

Silverthome 

Snowmass  Village       

Steamboat  Springs 

Sterling  

Thornton 

Trinidad 

Vail 

Victor 

Walsenburg  

Westcliffe  

Westminster  

Wheat  Ridge         

Wiggins  

Windsor 

Woodland  Park 

Yuma 

CONNECTICUT 

Ansonia  

Berlin 

Bethel 

Bloomfield    

Branford  

Bridgeport        

Bristol 

Brookfield 

Cheshire 

Clinton    

Coventry 

Cromwell 

Danbury 

Danielson  

Derby 

East  Hampton 

East  Hartford 

East  Haven 

East  Windsor  

Enfield 
Fairfield 

Farmington 

Glastonbury    

Granby 

Greenwich       

Groton 

Groton  Long  Point 

Groton  Town 

Guilford        

Hamden 
Hartford 
Jewett  City 


CONNECTICUT— Continued 

Madison 

Manchester 

Menden 

Middlebury 

Middletown 

Milford 

Naugatuck 
New  Britain 

New  Canaan  

New  Haven 
Newington 
New  London 
New  Milford 

Newtown  

North  Branford 

North  Haven 

Norwalk       

Norwich 
Old  Saybrook 

Plainfield 

Plainville 

Plymouth 

Putnam 

Ridgefield 

Rocky  Hill 

Seymour    

Shelton 
Simsbury 

Southington  

South  Windsor 
Stafford  Springs 

Stamford      

Stonington 

Stratford    ....  

Suffield 

I  homaston  

Tornngton  

Trumbull 

Vemon 

Wallingford 

Waterbury 

Waterford 

Watertown 

West  Hartford 

West  Haven 

Weston 

Westport 

Wethersfield 

Willimanlic 

Wilton 

Windsor 

Windsor  Locks 

Winsted 
Wolcott 
Woodbndge 

DELAWARE 

Bethany  Beach 

Blades    

Bridgeville        

Camden- Wyoming      

Clayton  

Dagsboro 

Delaware  City        

Delmar 
Dewey  Beach 

Ellendale 
Elsmere 
Fenwick  Island 


Table  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1986 — Continued 


Total 
employees 


Total 

police 

employees 


DELAWARE— Continued 


Greenwood 
Harrington 
Laurel 

Middletown 

Milford 

Millsboro 

Milton 

Newark 

New  Castle 

Newport 

Ocean  View 

Rehoboth  Beach 

Seaford 

Selbyville 

Smyrna 

South  Bethany 


DISTRICT  OF  COLUMBIA 

Washington 

FLORIDA 

Alachua 

Altamonte  Springs 
Altha 

Apalachicola 
Apopka 

Atlantic  Beach 

Atlantis 

Aubumdale 

Avon  Park 

Bal  Harbour 

Bartow 

Bay  Harbor  Islands 

Belleair  

Belleair  Beach  

Belleair  Bluffs 

Belle  Glade  

Belleview 
Biscayne  Park 
Blountstown 
Boca  Raton 
Bonifay 

Bowling  Green 
Boynton  Beach 

Bradenton  Beach 
Brooksville 
Bunnell 
Bushnell 

Callaway 
Cape  Coral 
Casselberry 
Cedar  Grove 
Center  Hill 
Century 
Chattahoochee 
Chiefland 
Chipley 

Clearwater     

Clermont 

Cocoa 

Cocoa  Beach 

Coconut  Creek 

Coleman 

Cooper  City 

Coral  Gables 

Coral  Springs 

Crescent  City 


FLORIDA— Continued 


Crestview 

Crystal  River    

Dade  City 

Davie-Hacienda  Village 

Daytona  Beach 

Daytona  Beach  Shores 

Deeriield  Beach 

De  Funiak  Springs 

De  Land 

Delray  Beach 

Dundee 

Dunedin 

Dunnellon 


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 


Greenacres  City- 
Green  Cove  Springs 


Groveland 
Gulf  Breeze 
Gulfport 
Gulf  Stream 
Haines  City 
Hallandale 


Hialeah 

Hialeah  Gardens 
Highland  Beach 
High  Springs 
Hillsboro  Beach 
Holly  Hill 
Hollywood 

Holmes  Beach 

Homestead 

Howey-m-the-Hills 

Indialantic 

Indian  Creek 

Indian  Harbour  Beach 

Indian  River  Shores 

Indian  Rocks  Beach 

Indian  Shores 

Inverness 

Jacksonville 

Jacksonville  Beach 

Juno  Beach 

Jupiter 

Jupiter  Inlet  Colony 

Jupiter  Island 

Kenneth  City 

Key  West 

Kissimmee 

Lady  Lake 

Lake  Alfred 

Lake  City 


257 


Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,   1986— Continued 

Total            -r  .  ,            t-  .  i  Total 

,-               Total            Total                                               „-.  .. 

police            „                .    .-                                                  City  polu 

employees  °  lcers        clvl  lans  employees 


FLORIDA— Continued 


FLORIDA— Continued 


Pembroke  Pines 

Pensacola 
Perry 

Pinellas  Park 
Plantation 
Plant  City 
Pompano  Beach 
Ponce  Inlet 

Port  Orange 

Port  Richey 
Port  Saint  Joe 
Port  Saint  Lucie 
Punta  Gorda 

Redington  Beach 

Riviera  Beach 

RockJedge 

Royal  Palm  Beach 

Saint  Augustine 

it  Augustine  Beach 
Saint  Cloud 

it  Leo 
Saint  Petersburg 
Saint  Petersburg  Beach 

Sanford      

Sanibel 

Sarasota 

Satellite  Beach 

Sea  Ranch  Lakes 

Sebastian  

Seminole  Tribal 

Sewall's  Point 

Sneads        

South  Bay 
South  Daytona 
South  Miami 
South  Palm  Beach 
Springfield 
Starke 

nse  Village 

Surfside      

Sweetwater      

Tallahassee 

Tamarac 
Tampa 

Tarpon  Springs 

Tavares 
Temple  Terrace 

Tequesta  

Titusville     

Treasure  Island 

Umatilla     

Valparaiso 

Vero  Beach 
Virginia  Gardens 
Waldo 
Wauchula 

Webster      

West  Melbourne 

West  Miami 

West  Palm  Beach 
Wewahitchka 
White  Springs 
Wildwood 

Wilhston    

Wilton  Manors 
Windermere 
Winter  Garden 
Winter  Haven 
Winter  Park 


fable  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1986 — Continued 


Total 

Total 

Total 

Total 

Total 

Total 

City 

employees 

officers 

civilians 

City 

employees 

officers 

FLORIDA— Continued 

GEORGIA— Continued 

Winter  Springs 

37 

28 

9 

BaSl      Poillt                              

90 

83 

7 

Zephyrhills 

25 

18 

7 

Eatonton 

13 

11 

2 

Zolfo  Springs 

5 

4 

1 

Elberton 

3 

24 

3 
21 

3 

GEORGIA 

Ellaville 

4 

4 

Ellijay 

8 

5 

3 

Acworth 

14 

10 

4 

Fairburn 

14 

10 

4 

Adairsville 

9 

5 

4 

Fairmount 

3 

3 

Adel 

17 

17 

Fitzgerald    . 

30 

20 

10 

1 

1 

Folkston  

4 

4 

Albany 

209 

183 

26 

Forest  Park 

84 

28 

56 

Alma 

11 

10 

1 

Fort  Gaines 

3 

3 

Alpharetta 

24 

18 

6 

Fort  Oglethorpe 

18 

15 

3 

Amencus 

47 

39 

8 

Fort  Valley 

30 

21 

9 

Aragon 

9 

5 

Franklin 

4 

4 

Arlington 
Ashburn 

4 

Gainesville 

84 

79 

5 

10 

1 

Garden  City 

17 

15 

2 

Athens 

119 

89 

30 

Gibson                      

1 

1 

Atlanta 

1,631 

1.326 

305 

Glennville 

14 

9 

5 

Attapulgus 

2 

1 

1 

Gordon 

8 

4 

4 

Augusta  ,. 

181 

154 

27 

Grantville        

3 

3 

Austell 

13 

10 

3 

Gray 

4 

4 

Avondale  Estates 

7 

7 

Greensboro                 

8 

8 

Bainbridge 

44 

32 

12 

Griffin 

58 

52 

6 

Baldwin 

4 

Grovetown 

12 

7 

5 

Bameswlle 

11 

10 

1 

Hagan 

1 

1 

Blackshear 

9 

8 

1 

Hahira 

7 

4 

3 

Mairsville 

6 

5 

1 

Hampton 

6 

6 

31oomingdale 

5 

5 

Harlem 

8 

5 

3 

Boston 

4 

4 

Hawkinsville 

10 

9 

1 

Bowdon 

10 

6 

4 

Hazlehurst 

12 

8 

4 

3owman 

1 

1 

Helen 

9 

5 

4 

Braselton                                            

2 

Hepzibah 

2 

2 

Brooklet 

3 

3 

Hiawassee 

2 

2 

Brunswick 

67 

58 

9 

Hinesville .... 

47 

39 

8 

3uchanan 

7 

6 

1 

Homerville 

9 

6 

3 

Butler 

4 

4 

Hoschton 

2 

2 

Byron 

10 

7 

3 

Irwinton 

2 

2 

Cairo 

19 

16 

3 

Ivey 

1 

1 

Calhoun 

30 

26 

4 

Jackson 

15 

13 

2 

1 

1 

Jasper 

6 

6 

Canton 

13 

13 

Jefferson 

11 

7 

4 

l^rrollton 

45 

39 

6 

Kennesaw                      

25 

18 

7 

Cartersville 

36 

26 

10 

Kingsland 

14 

9 

5 

Cedartown 

25 

21 

4 

Kingston  

1 

1 

Zhatsworth 

15 

10 

5 

Lafayette                                                    

23 

18 

5 

Clarkesville 

5 

5 

La  Grange 

84 

69 

15 

Clarkston 

8 

8 

Lawrenceville  

29 

25 

4 

Claxton 

6 

6 

Leary 

2 

1 

1 

Clayton 

7 

7 

Leesburg 

4 

4 

Cochran 

11 

10 

1 

Lilburn 

13 

8 

5 

Collins 

1 

1 

Lincolnton 

3 

3 

Colquitt 

9 

7 

2 

Linwood 

3 

3 

Columbus 

387 

347 

40 

Lithonia                                         

16 

8 

8 

Concord 

1 

1 

Locust  Grove 

5 

5 

Zonyers 

35 
2 

24 
2 

11 

Logan  ville 

Lookout  Mountain 

10 

6 

4 

Coohdgc         

Cordele 

31 

23 

8 

Louisville 

9 

9 

Cornelia 

12 
1 

12 

Ludowici 
Lumpkin 

3 

7 

4 

-rawfordville 

gumming 

10 

7 

3 

Lyerly 

1 

Dallas 

14 

10 

4 

Lyons                     

12 

9 

3 

Dalton 

58 

47 

11 

Macon 

301 

247 

54 

5 

5 

Madison 

12 

8 

4 

Dawson 

30 

15 

15 

Manchester 

16 

13 

3 

Decatur 

47 

38 

9 

Marietta     

113 

95 

18 

Doerun 

5 

4 

1 

Marshallville 

3 

4 

Donalsonville 

12 

8 

4 

Maysville          

1 

Doraville 

24 

18 

6 

McCaysville 

4 

Douglas 

38 

31 

7 

Mr  Donough              

13 

8 

5 

Douglasville 

29 

23 

6 

Mclntyre                

1 

Dublin 

32 

5 

Duluih 

20 
12 

14 
7 

6 

5 

Metier                          ....               

9 

7 
2 
9 

East  Dublin 

Midway                                         

1 

Millen    

259 


Table  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities 

,  October  31,   1986 — Continued 

City 

Total 
employees 

Total 

Total 
civilians 

City 

Total 

employees 

Total 

Total 
civilians 

GEORGIA— Continued 

30 
13 

25 

44 

2 
16 

3 
35 

6 
16 

8 
14 

7 

21 
7 

15 
3 

25 
3 
6 
7 

17 
2 
9 
3 
7 
4 

3 

18 
78 
15 
93 
14 
16 
21 

3 
372 

3 
79 
24 

1 
10 

3 
39 
14 
21 
14 
17 

4 

5 
6 

9 
2 
24 
5 

7 

5 
18 

82 

27 
5 

14 
6 
2 

15 
3 

61 

19 
3 

22 

9 
21 

1 
38 

2 
11 

3 
34 

12 
5 

10 
7 
2 

20 
4 

10 
3 

20 
3 
5 
7 

14 
2 
5 
3 
6 

3 
14 
60 
10 
71 
10 
12 
15 

3 
301 

3 
63 
19 

7 
3 
31 
10 
15 
14 
13 

1 

3 

41 
5 
2 
19 
5 
7 
4 
5 

14 
68 
26 
5 
9 
6 
2 
9 
3 
40 
15 
3 

8 
4 
6 

5 

1 
5 
5 
1 
3 

4 
18 

5 
22 

6 

71 

16 

5 

3 

4 

2 
2 

5 

14 

1 

GEORGIA— Continued 

18 

180 
1,960 

7 
8 
2 

26 

159 

7 

10 

33 
2 

13 

11 

15 
7 

26 
7 

5 
86 
11 
10 
12 

1 
52 

5 
13 

5 
29 
22 
43 

3 
9 
2 
88 

15 

19 
S 

11 

24 

4 

7 
16 
6 
6 
6 
52 
4 

12 
2 

10 

70 

2 

9 

2 

12 

12 

120 
1.605 

7 
2 

23 

138 

6 

7 

26 
2 

11 

35 
2 

10 

5 
13 
7 
26 
6 
4 
5 
67 
11 
6 
9 

39 
5 
11 
5 
24 
16 
31 
1 
3 
9 
2 
67 
10 

5 

13 
5 

10 
24 
3 
6 
10 
6 
6 
6 
48 
3 
8 
2 

5 

50 
2 
9 

Woodbine      

Woodstock 
Wrens 

HAWAII 

Hilo 

3 

60 

Newnan  

IDAHO 

Ocilla 

Caldwell 
Cascade 
Chubbuck 

Coeur  d'Alene                           

7 

2 

Powder  Springs     

14 

Fruitland                     

1 

Hailey 

1 

Idaho  Falls 

Roswell 

Royston       

19 

Lava  Hot  Springs 

Savannah 

Preston 

1 
6 

6 

4 

1 
4 

5 

6 

21 
4 

ILLINOIS 

Abingdon 

5 
28 

Whigham 

Aledo 

-time  Law  Enforcement  Employees,  Cities,  October  31,  1986 — Continued 


Total 

police 

employees 


Total 

employees 


ILLINOIS— Continued 


ILLINOIS— Continued 


Centraha 
Centreville 

Champaign 

Channahon 

Charleston 

Chatham 

Cherry  Valley 

Chester 

Chicago     

Chicago  Heights 

Chicago  Ridge 

Chilhcothe 

Christopher 

Cicero 

Clarendon  Hills 

Clinton 

Coal  City 

Coal  Valley 

Cobden 

Collinsville 

Colona      

Columbia 
Coulterville 
Country  Club  Hills 
Countryside 
Crest  Hill 
Creslwood 
Crete 
Creve  Coeur 

Crystal  Lake 

Dallas  City 

Danville  

Decatur 

Deerfield  

De  Kalb      

De  Soto    

Des  Plames 

Dixmoor  

Dixon 

Dolton      

Downers  Grove 

Dupo 

Du  Quoin 

Durand    

Dwight  

Earlville 

East  Alton 

East  Carondelet 

East  Chicago  Heights 

Dubuque 
East  Dundee 
East  Hazel  Crest 

East  Moline 

East  Peoria 

East  Saint  Louis 

Edwardsville 
Effingham 

Eldorado 

Elgin 

Elk  Grove  Village 

Elmhurst 

Elmwood  Park 

Energy 

Equality  

Ene  

Eureka        

Evanston  

Evergreen  Park 

Fairbury 

Fairfield  

Fairmont  City 

Fairview  Heights 


Table  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,   1986 — Continued 

Total 

employees 


ILLINOIS— Continued 


ILLINOIS— Continued 


F.in 


(   .IV 


Farmington 

Flora 

Flossmoor 
Forest  Park 
Forest  View 

Fox  Lake 

Fox  River  Grove 

Frankfort 

Franklin  Park 

Freeburg 

Freeport 

Fulton 

Galena  

Galesburg 

Galva       

Geneva  

Georgetown 
Gibson  City 

Girard    

Glasford 
Glen  Carbon 

Glencoe  

Glendale  Heights 
Glen  Ellyn 
Glenview 

Glenwood 

Golf 
Grafton 
Granite  City 
Grayslake 

Grayville  

Green  Rock 
Greenup  

Greenville 

Hainesville 

Hamilton 

Hampshire 

Hampton 

Hanover     

Hanover  Park 

Harnsburg 

Hartford 

Harvard 

Harwood  Heights 

Hazel  Crest 

Hebron    

Henry    

Herscher 
Hickory  Hills 
Highland 
Highland  Park 
Highwood 
Hillsboro 
Hillside 
Htnkley 

Hinsdale    

Hodgkins 

Hoffman  Estates 

Hometown 

HomewtxKl 

Hoopeslon 

Huntley 

Ilhopolis 

Indian  Head  Park 
Island  Lake 


Jacksonville 

Jerseyville 
Johnston  City 

Johet 

Jonesboro 

Kankakee 
Kenilworth 
Kewanee 

Kirkland 

Knoxville 

Lacon 

La  Grange 

La  Grange  Park 

Lake  Bluff 

Lake-m-thc-Hills 
Lake  Villa 
Lakewood 
Lake  Zurich 

Lansing 
La  Salle 
Lebanon 
Leland  Grove 
Lemont 

Lewistown 
Libertyville 

Lincolnshire 

Lincolnwood 

Lindenhurst 

Lisle 

Litchneld 

Lock  port 

Lombard 

Loves  Park 

Lynwood 

Lyons 

Mackinaw 

Macomb 

Madison 

Mahomet 

Manhattan 

Manito 

Manteno 

Marengo 

Manon 

Marissa 

Markham 

Maroa 

Marquette  Height 


M.ii 


■llles 


Marshall 
Martinsville 
Maryville 
Mascoutah 
Mason  City 
Matteson  ... 

Mattoon 

Maywood 

McCook 

McHenry 

McLeansboro 

Melrose  Park 

Mendota 

Meredosia 

Metamora 

Metropolis 

Midlothian 


262 


able  77. —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1986 — Continued 


Total 

employes 


Total 
police 

employees 


ILLINOIS— Continued 


ILLINOIS— Continued 

Pecatonica 

Pekin 

Peoria 

Peoria  Heights 

Peotone 

Peru 

Petersburg 

Phoenix 

Pinckneyville 

Pittsfield 

Plainfield 

Piano 

Polo 

Pontiac 

Pontoon  Beach 

Port  Byron 

Princeton 

Prophetstown 

Quincy 

Rantoul 
Red  Bud 
Richmond 
Richton  Park 
Ridge  Farm 
Ridgway 

Riverdale 

River  Forest 

River  Grove 

Riverside     

Robbins    

Robinson 

Rochelle 
Rochester 
Rockdale 
Rock  Falls 
Rockford 

Rock  Island 

Rockton 

Rolling  Meadows 

Romeoville 

Roodhouse     

Roselle 

Rosemont       

Rossville 
Round  Lake 
Round  Lake  Beach 
Round  Lake  Heights 

Round  Lake  Park        

Roxana 

Royalton 

Rushville 

Saint  Charles    

Sandwich         

Sauk  Village 
Savanna 

Saybrook        

Schaumburg 

Schiller  Park 
Seneca 

Shawneetown 
Shelbyville 

Sherman  

Shorewood        

Skokie 

Sleepy  Hollow    

Smithton 

South  Barrington 

South  Beloit  


263 


Table  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities 

October  31,   1986 — Continued 

Total 

Total 

Total 

Cty 

employees 

civilians 

City 

employees 

ILLINOIS— Continued 

ILLINOIS— Continued 

South  Chicago  Heights 

Yates  City 

34 

, 

Zeigler 

11 

8 

3 

INDIANA 

8 

5 

8 

5 

3 

4 

Steger                                                         

8 

7 

1 

13 

35 

24 

11 

14 

4 

II.iU'smIIc              

I 

Stockton 

3 

10 

4 

Stone  Park                  

16 

13 

3 

36 

Streamwood           

50 

34 

16 

Streator                                        

27 

22 

5 

73 

52 

21 

Sugar  Grove           

3 

3 

Sullivan                           

8 

7 

1 

9 

Summit                      

28 

21 

7 

12 

8 

Swansea                   

11 

8 

3 

Brownsburg.,                           

17 

13 

4 

Sycamore 

1 

6 

5 

1 

Taylorville                    

19 

14 

5 

Cambridge  City 

4 

4 

Thomasboro 

1 

1 

Thornton   

7 

6 

1 

Cedar  Lake   

16 

11 

5 

Tilton                       

2 

2 

11 

7 

4 

Tinley  Park              

42 

35 

7 

4 

Tremont  

6 

4 

2 

Clarksville 

30 

25 

5 

Trenton                         

5 

5 

Troy                                                            

12 

8 

4 

Connersville              

38 

32 

6 

Tuscola 

6 

5 

1 

11 

University  Park 

20 
50 

17 
41 

3 
9 

29 

23 

Urbana    

Vandalia 

17 

11 

6 

Venice 

13 

10 

3 

Vernon  Hills 

28 

18 

10 

Edinburgh 

15 

10 

Vienna                                                        

2 

2 

Elkhart          

121 

96 

2; 

Villa  Grove 

5 

4 

1 

Elwood             

20 

16 

t 

Villa  Park      ...                                            

45 

34 

11 

257 

236 

21 

Virden                                            

7 

4 

3 

Fairmount 

8 

4 

i 

Wamac 

1 

1 

Fort  Wayne 

357 

316 

41 

Warren                                                        

3 

3 

Fowler 

Warrenville                                              

11 

9 

2 

t 

Washington 

14 
14 

7 

11 
10 
7 

\ 

3 

8 
9 

3 

Washington  Park 

4 

Waterloo 

Watseka 

13 
17 

8 
11 

5 
6 

36 

33 
7 

i 

Wauconda 

4 

Waukegan                 

153 

108 

45 

Wayne 

3 

3 

5 

Westchester                                

39 

33 

6 

West  Chicago                

26 

21 

5 

3.' 

West  City 

9 

5 

4 

West  Dundee                                           

14 

12 

2 

Highland 

Western  Springs                                      

26 

19 

7 

S 

West  Frankfort 

15 

11 

4 

Westmont                   

46 

34 

12 

332 

Westvillc                                      

68 

49 

19 

4 

Wheaton    

Wheeling    

56 
10 
19 

40 

5 
17 

16 

5 
2 

47 
18 

13 

White  Hall 

Willowbrook 

29 

Willow  Springs                                            

13 

11 

2 

3 

Wilmette 

54 

39 

15 

Lafavette    . 

104 

79 

25 

Wilmington 

12 

5 

_l 

Winchester 

3 

3 

34 

t 

11 

10 

1 

2i 

17 

4 

Winnebago.  .            

1 

1 

5 

s 

Winnetka                                     

34 

23 

11 

p 

4 

Winthrop  Harbor 

11 

7 

4 

1  og;insport                       

39 

34 

5 

1 

6 

6 

; 

Woodhull 

1 

66 

Martinsville 

34 

; 

25 

18 

7 

42 

Woodstock                                         

33 

23 

10 

fable  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1986 — Continued 


City 

Total 
employees 

Total 

Total 
civilians 

City 

Total 
police 

employees 

Total 
officers 

Total 
civilians 

INDIANA— Continued 

Michigan  City             

Khawaka 
Monticello 

92 
82 
13 
16 
141 
34 
12 
64 
40 

30 
13 
15 

7 
47 
14 

3 
15 
91 

9 
23 
13 
14 
27 
284 
32 

134 

4 

47 
27 
33 
34 
11 
4 

26 
13 

5 

9 
15 

9 
60 

6 
25 
17 

4 

41 
6 
15 
45 
6 

21 
6 

53 
202 

11 

17 
47 
13 

84 
72 

8 
12 
123 
27 

8 
58 
37 

5 
24 
10 
11 

37 
10 

3 

7 
75 

8 
18 

9 
10 

235 
25 

9 
122 

9 

7 

35 
25 
27 
29 
5 

1 
22 

5 

5 
10 

8 
48 

5 
19 
13 

4 

4 
30 

6 
14 
32 

6 

5 
13 

6 
45 
163 

11 

8 
13 
10 

9 

12 
43 
9 

8 
10 

5 

7 

3 

3 
4 
3 
10 

8 
16 

5 

49 
7 
5 

5 

4 
12 
2 
6 
5 
6 

1 

12 

6 

11 

1 
13 

8 
39 

5 
1 

3 
1 

5 
4 
4 

IOWA— Continued 

Coralville 
Council  Bluffs 
Cresco 

21 

109 

7 

13 
178 

17 

14 
436 

82 
8 
7 
5 
5 
8 

12 
8 

15 
8 

45 

32 
5 

12 

12 

9 
4 
5 

11 
15 

62 
15 

8 

7 

36 
15 

7 
12 
12 
12 
31 
57 
51 

4 

8 
12 

4 
39 

7 

6 
29 

6 
14 

5 

6 

7 
24 
38 
14 
14 

8 
13 

3 

4 

10 
11 
5 
150 
25 
7 

19 

92 

7 

9 

143 

13 

10 

326 

6 

76 
5 
7 
5 
5 
7 

12 
7 

11 

42 
26 
5 
7 
11 

8 

8 

5 

7 
11 
12 
52 
11 

8 

27 
11 

5 
12 

8 

25 
41 

5 

12 

32 
7 
6 

24 
5 

11 
5 
4 

6 

17 
32 
10 
10 
8 
9 
3 

6 
8 
5 

108 

6 

2 
17 

Davenport 

35 

Denison 

De  Witt 

Dubuque    

Dyersville 

Eagle  Grove 

<Jew  Whiteland 

6 

3 

Eldndge 

lochester        

whererville 

Fort  Dodge 
Fort  Madison 

3 
6 

Gnnnell          

Grundy  Center 

Harhn 

. 

2 

Vest  Lafayette 

Jefferson     . 

IOWA 

Vdel       

Vlbia 
Ugona 

Marion 

Marshalltown  

Mason  City 
Missouri  Valley 

6 

16 
10 

. 

Vnamosa          

.  ,      ' 

ludubon     

Norwalk    

1 

lelmond        

tettendorf 

lloomfield 

Onawa            

,    . 

,           . 

i  i  i 

^rroll 

Pella 

Perry                                                                          

Pleasant  Hill 
Red  Oak 
Rock  Rapids 

barter  Uke 
idar  Falls 

>dar  Rapids 

^enterville    

Chariton         

Charles  City 

Cherokee 

Clarion 

3ear  Lake 

4 

. 

1 

Spini  Lake  

1 

Table  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1986 — Continued 


Total 

police 

employees 


IOWA— Continued 


KANSAS— Continued 


Storm  Lake 

Story  City 

Tama 

Urbandale 

Vinton 

Washington 

Waterloo 

Waukee 

Waukon 

Waverly 
Webster  City 
West  Burlington 
West  Des  Moines 
West  Union 
Windsor  Heights 


KANSAS 


Abilene 

Andale 

Andover 

Anthony 

Arkansas  City 

Arma 

Atchison 

Augusta 

Baldwin  City 

Belleville 

Beloit 

Bonner  Springs 

Burlington 

Caney 

Cedar  Vale 
Chanute 

Cheney 

Cherryvale 
Clay  Center 

Clearwater 

ColTeyville 

Golby 

Columbus 

Colwich 

Concordia 
Council  Grove 

Derby 

Dodge  City 

Downs 

Edgerton 
Edwardsville 
E!  Dorado 
Elkhart 
Ellinwood 

Ellis 

Ellsworth 

Emporia 
Erie 

Eudora 

Eureka 

Fairway 

Fort  Scott 

Fredonia 

Frontenac 

Galena 

Garden  City 

Gardner 

Garnett 
Girard 
Goddard 
Goodland 
Great  Bend 
Hays 


Haysville    . 

Herington 

Hesston 

Hiawatha 

Hoisington 

Horton 

Humboldt 

Hutchinson 

Independence 

Iola 

Junction  City 

Kansas  City 

Kingman 

Kinsley 

Lake  Quivera 
Lansing 

Lawrence 
Leavenworth 

Leawood  

Lenexa 

Maize 

Manhattan 

Marysville 

McPherson 

Medicine  Lodge 

Mernam 

Minneapolis 

Mission 

Mulvane 

Neodesha 

Newton 

North  Newton 

Norton 

Oakley 

Olathe 

Osage  City 

Osawatomie 

Osborne 

Ottawa 

Overland  Park 

Paola 

Park  City 

Parsons 

Phillipsburg 

Pittsburg 

Prairie  Village 

Pratt 

Roeland  Park 

Russell 

Sabetha 

Saint  George 

Scott  City 

Shawnee 
Silver  Lake 
South  Hutchinson 
Spring  Hill 
Sterling 
Stockton 
Tonganoxie 

Valley  Center 
Wa  Keeney 
Wamego 
Wellington 
Westwood 

Wichita 

Winfield 

Yates  Center 


266 


able  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1986 — Continued 


Total 
employees 


Total 
police 

mployees 


KENTUCKY— Continued 

Greenville 

Guthrie 

Hardinsburg 

Harlan         

Harrodsburg 

Hartford 

Hawesville 

Hazard 

Henderson 

Hickman     

Highland  Heights 

Hillview 

Hindman 

Hodgenville 

Hopkinsville 

Horse  Cave 

Hustonvilte 

Independence 
Irvine 

Irvington 

Jackson  

Jamestown 

Jeffersontown 

Jenkins       

Junction  City 

La  Center 

Lakeside  Park 

Lancaster 

Lawrenceburg 

Lebanon      

Lebanon  Junction 

Leitchfield 
Lewisburg 

Lewisport 

Lexington 

London  

Louisville 

Loyall 

Ludlow       

Madisonville 

Manchester 

Marion 

Martin 

Mayfield 

Middlesboro 

Millersburg 

Monticello    

Morehead 

Morganfield 

Morgantown 

Mount  Sterling 

Mount  Vernon 

int  Washington 

Muldraugh    

nfordville 

Murray 

New  Castle 

Newport 

Nicholasville 

North  Middletown 

Nortonville  

Oak  Grove 
Olive  Hill 

Owensboro  

Owenton 

Owingsville   

Paducah 

Paintsville 

Paris 


267 


Table  77. —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,   1986 — Continued 

Total 

mployees 


KENTUCKY— Continued 


LOUISIANA— Continued 


Park  City 

Park  Hills 

Perryville 

Pewee  Valley 

Pikeville 

Pineville 

Preslonsburg 

Princeton 

Prospect 

Providence 

Raceland 

Radcliff 

Richmond 

Russell 

Russell  Springs 

Russellville 

Saint  Matthews 

Salyersville 

Scottsville 

Sebree  

Shelby  ville 
Shepherdsville 

Shively 

Somerset 
Southgate 
Springfield 
Stanford 

Stanton 

Sturgis 

Taylor  Mill 

Taylorsville 

Tompkinsville 

Uniontown 

Vanceburg 

Versailles 

Villa  Hills 

Vine  Grove 

Walton 

Warsaw 

West  Buechel 

West  Liberty 

West  Point 

Wheelwright 

Whitesburg 

Wilder 

Williamsburg 

Williamstown 

Wilmore . 

Winchester 

Wingo 

Worthington 


Baskin 

Bastrop 

Baton  Rouge 
Berwick 
Bogalusa 
Bossier  City 
Church  Point 

Crowley 

Denham  Springs 
De  Quincy 
Farmerville 

Franklin 

Franklinton 

Gonzales 

Gretna 

Harahan 

Haynesville 


Houma 
Jennings 

Jonesville 

Kaplan 

Kentwood 

Kinder 

Lafayette 

Lake  Charles 

Leesville 

Loreauville 
Mamou 
Mandeville 
Mansfield 

Monroe 
Morgan  City 
Natchitoches 
New  Iberia 

New  Orleans  -  

Oakdale 
Patterson 
Pineville 
Ponchatoula 
Port  Allen 

Rayville      

Ruston 

Martinville 
Shreveport 
Simmesport 

Springhill  

Sulphur 

Tallulah 

Vidaha      

e  Platte  

ton 

Vivian 

Welsh 
Westlake 
West  Monroe 

Westwego   

Winnfield 

MAINE 

Ashland 
Auburn 

Augusta  

Baileyville 

Bangor 

Bar  Harbor 

Bath 

Belfast 

Berwick 

Biddeford      

Boothbay  Harbor 

Brewer 

Bndgton 

Brunswick 

cksport 

Buxton      

Calais      

Camden     

Cape  Eh/abet  h 
Caribou 

Cumberland  

Damanscotta 

Dexter 

Dixfield 

Dover-Foxcroft 

East  Millinocket 

Eastport 

Ehot 

Ellsworth 


268 


-time  Law  Enforcement  Employees,  Cities,  October  31,  1986 — Continued 


Total 

employees 


Total 
police 

employees 


MAINE— Continued 


Aberdeen 
Annapolis 


Hah 


Bel  Air 

Berlin 

Berwyn  Heights 

Bladensburg 

Brunswick 

Cambridge 

Capitol  Heights 

Centreville 

Chesapeake  City 

Chestertown 

Cheverly    

Colmar  Manor 

Cottage  City 

Crisfield 

Cumberland 

Delmar 

Denton 

District  Heights 

Easton 

Edmonston 

Elkton 

Fairmnunt  Heights 

Federalsburg 

Forest  Heights 

Frederick 

Frostburg 

Fruitland 

Glenarden 

Greenbelt 

Greensboro 

Hampstead 

Hancock 

Havre  De  Grace 

Hurlock 

Hyattsville 
Landover  Hills 

La  Plata 

Laurel 
Lonaconing 
Luke 

Manchester 
Momingside 
Mount  Rainier 
New  Windsor 
Nonh  Beach 
North  East 
Oakland 
Ocean  City 
Ocean  Pines 
Oxford 

Pocomoke  City 
Port  Deposit 
Preston 
Princess  Anne 
Ridgely 

Rising  Sun 

Riverdale 

Rock  Hall 

Rock' 

Saint  Michaels 

Salisbury 

Smithsb 

Snow  Hill 

Sparrows  Point 

Sykesville 

Takoma  Park 

Thurmont 
University  Park 


Table  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities 

October  31,  1986 — Continued 

City 

Total 

police 

employees 

Total 

Total 
civilians 

City 

Total 

employees 

Total 

Total 

MARYLAND— Continued 

Upper  Marlboro 

1 

31 

29 
17 
23 
52 
30 
34 
62 
80 
5 
1 
1 
20 
18 
66 
25 
14 
16 
90 
25 

30 
62 
5 
2 

83 
72 
14 

2,541 

37 
7 
11 
5 
90 
19 
29 

208 
1 

157 

275 
40 
15 
23 
61 
77 

112 
20 
11 
50 
59 
58 

41 

10 
15 
37 
15 
29 
22 
19 
26 
26 
29 
11 
6 
91 
254 

25 

28 
15 
22 
48 
29 
29 
50 
74 
5 

1 

19 
18 
63 
19 
11 
12 
80 
24 
10 
25 
57 

2 

81 
60 
11 

1,946 

31 

6 

10 

5 

80 

17 

28 

183 

1 

146 

257 

38 

9 

21 

55 

65 

110 

10 
40 
51 
55 

4 
32 

9 

7 
15 
35 
11 
27 
22 
13 
25 
24 
28 
10 

6 
85 
215 

6 

1 

2 
1 

1 
5 

1 

3 

3 
4 
10 
1 

5 
5 
1 

2 
12 
3 

595 

1 
1 

10 
2 
1 

25 

11 

18 
2 
6 
2 
6 

12 
2 
1 
1 

10 

3 
9 

3 
2 
2 

1 

2 
1 
1 

6 
39 

MASSACHUSETTS— Continued 

64 
74 
27 
119 
36 
16 
34 

3 
12 
71 
21 
23 

8 
14 

4 
12 
18 

2 

7 
32 

90 
53 
19 
21 
7 
18 

33 
33 
23 
20 

16 

12 
31 

200 
28 
11 

164 
26 

115 
16 
27 
44 
12 
58 
48 
30 
15 
24 
17 

124 
19 

7 
8 
75 

38 
20 
17 
56 
15 
17 

11 

27 
62 
58 

278 
5 
34 

218 

56 
66 
26 
109 
30 
12 
32 
3 
8 
67 
16 
21 
8 

14 
2 
8 
16 
2 
7 
26 
1 
79 
47 
14 
21 

13 

1 
29 
27 
22 
15 
9 
14 
59 
12 
30 

174 
27 
10 

153 
19 

106 
14 
22 
42 
12 
54 
44 
23 
15 
22 
15 

116 
14 
59 
7 
5 
61 
38 
36 
19 
14 
53 
11 
15 
4 
10 
22 
55 
54 

237 

32 
198 

MASSACHUSETTS 

Gardner                

2 

Gay  Head 

4 

A 

5 

es  ury 

Andover  

A  hh       h 

Hadley 

2 

A  hb 

Hampden                                      

4 

Hanson 

2 

Hardwick 

Attl  b 

Harwich                                        

6 

A   b 

Hatfield 

Avo 

Haverhill 

11 

. 

Hingham 

6 

B      stabl 

Holden 

5 

n    .,     . 

Hopedale 
Hopkinton 
Hubbardston 
Hudson 

Hull     

1 

5 

Belmont    

J 

6 

n       i 

Billenca 

Lakeville                    

Lee                                                

- 

_  . 

i 

Leominster 

B     h 

| 

Lowell 

2c 

Braintree 

Lunenburg                    

Lynn          

1 

11 

B    d 

n  gewa  er 

c 

Manchester 

Mansfield 

Marblehead 

Marion 

Marlborough 

i 

1 

Ch  1      f    d 

Chelsea 

Maynard 
Medfield 

D  It 

I 

Melrose 

U 

11 

: 
• 

41 

: 

2C 

Merrimac 

Methuen 

Middleboro 

Milford 

Millbury 

Millis 

Milton 

Monson 

Montague 

Monterey 

Nahant 

Nantucket                   

Natick 
Needham 

Dennis  

Dover 

Dracut 

New  Bedford                                       

Everett 

Newton  

fable  77. —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,   1986 — Continued 


City 

Total 
police 

Total 
officers 

Total 

City 

Total 

police 

employees 

Total 

Total 
civilians 

MASSACHUSETTS— Continued 

Norfolk 
North  Adams 

18 
34 
60 
33 
34 
22 
17 
6 

25 
68 
13 
25 
18 
21 

27 

93 

237 
20 

20 
17 
11 
28 
52 
38 

28 
3 
2 
13 
10 
37 
147 
29 
26 
15 
15 
6 

50 
16 

31 

32 
35 
96 
11 

47 
78 
23 
27 
54 
14 
10 
28 
12 
16 
67 
32 
8 
28 
24 
72 
32 
107 
23 
12 

13 

53 
31 
30 
18 
16 
5 
1 
23 
60 

22 

87 

82 

17 
201 
13 
39 
16 

7 
26 
50 
31 

2 
13 

31 
140 
27 
25 
11 
12 
6 
42 
47 
12 

29 

10 
31 
30 

10 

45 
74 
22 
26 
48 
10 
9 
28 

16 
63 
25 

7 
25 
23 
65 
30 
96 
22 

9 

5 
2 
7 
2 
4 
4 

1 

2 
8 

3 
5 
5 
7 
1 
1 

36 

7 

2 
2 

7 

1 

7 
2 
1 

4 
3 

3 
4 

5 

1 
8 

2 

1 
1 
6 

1 

1 

7 
1 
3 
1 
7 
2 
11 

3 

MASSACHUSETTS— Continued 

Wilmington 

Winchendon 

Winchester 

Winthrop    

Woburn 

Worcester 

Worthington   

Yarmouth 

MICHIGAN 

41 
13 
50 
39 

73 
475 

48 

37 
1 

36 
7 
8 

58 

17 

20 

184 

2 

4 

2 
33 
7 

2 

129 
85 

2 

7 
10 

1 

9 
21 
28 
32 

7 
28 
16 

1 
49 
26 

5 
27 
89 

10 
4 
7 
4 
11 
4 
2 
21 
10 
17 

40 
18 

1 
48 
1 
2 
7 

i 

1 
2 

39 
12 
43 
38 
69 
373 

40 

31 

30 
6 

52 

13 
2 

19 
154 
2 
4 
1 
2 

24 
6 

1 
2 

5 
104 
78 
2 
6 
9 

8 
19 
21 
29 

6 
26 
15 

34 
20 
4 
23 
72 
1 
6 

6 

10 

2 
17 
10 
15 

1 
35 
14 

35 
2 
2 

3 
2 

2 

1 
7 

sJorth  Andover 

102 

North  Brookfield 

8 

Norton 
Norwood 

Orleans                                                    

Oxford 
Palmer 

Albion 

Peabody ....                                                        

Pembroke 

Pepperell 

4 

Pittsfield 

Plainville 

. 

Provincetown 
Juincy 

Ann  Arbor 
Argentine  Township 

30 

Reading 

Rehoboth 

Rockport 

Rowley 

fc 

Baraga 

seekonk 
sharon 

Bath  Township 

1 

Sheffield 

shelburne 

sherborn 

Bedford  Township 

1 

Shrewsbury                                  

somerville 

oulhbndge 
outh  Hadley 

Benton   Harbor 

2 

southwick 
pencer 
tockbridge 
toneham 
toughton 

Berkley 

Berrien  Springs-Oronoko 

Beverly  Hills 

Big  Rapids 

Birch  Run 

Blackman  Township 

3 

1 
2 

1 

turbridge 
udbury 

15 
6 

underland 

utton 

wampscott 

wansea                                                            

raunton 

Boyne  City 

4 

risburv 

Valtham 

Vareham 

Vatertown 

Bronson 

Vayland 

Vebster 

Vellesley 

Vellffeet 

IVenham  ...                                                    

Vestboro... 

Vest  Boylston 

Vest  Bndgewater 

r  i 

Vestffeld 

C      b   d       T     ■     h 

Vestford 

Westminster 

Veston 

Vestpon 

Vest  Spnngfield 

Vestwood 

Weymouth 

Carrollton  Township 

Carson  City                

1 
7 

Vilbraham 

Caseville 

Villiamstown 

Table  77. —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1986 — Continued 


Total 


Total 
police 


MICHIGAN— Continued 


MICHIGAN— Continued 


Cass  City 

Cassopohs    

Cedar  Springs 
Cement  City 

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-Pulaski 

Constantine 

Coopersville 

Comnna  

Covert  Township 

Croswell    

Crystal  Falls 
Crystal  Township 

Davison     

Davison  Township 
Dearborn 
Dearborn  Heights 
Decatur 

Deckeiville    

Denmark  Township 

De  Tour 

Detroit 

De  Witt 

De  Witt  Township 

Douglas 

Dowagiac 

Dryden 

Durand 

East  Detroit 

East  Grand  Rapids 

East  Jordan 

East  Lansing 
East  Tawas 
Eaton  Rapids 
Eau  Claire 

Ecorse     

Elk  Rapids 

Elkton        

Elsie 

Emmett  Township 

Erie  Township 

Escanaba 

Essexville 

Evan 

Fairgrove 

Fairhaven  Township 

Farmington 

Farmington  Hills 

Farwell 

Femdale 
Ferrysburg 
Flat  Rock 
Flint 


Flint  Township 

Flushing 

Flushing  Township 

Forsyth  Township 

Frankenmuth 

Frankfort 

Franklin 
Fraser 

Fremont    

Frost  Township 

Gagetown       

Galesburg 
Garden  City 

Gaylord  

Genesee  Township 
Gerrish  Township 

Gibraltar 

Gladstone 
Gladwin 

Grand  Beach 
Grand  Blanc 
Grand  Blanc  Township 
Grand  Haven 

Grand  Ledge 

Grand  Rapids 
Grandville 

s  Lake 
Grayling        

n  Oak  Township 
Greenville 

se  He  Township 
Grosse  Pointe 

se  Pointe  Farms 

se  Pointe  Park 
Grosse  Pointe  Shores 

se  Pointe  Woods 
Hamburg  Township 
Hampton  Township 
Hamtramck 
Hancock 
Harbor  Beach 
Harbor  Springs 
Harper  Woods 

Harrison     

Hart 

Hartford 

Hastings 

Haze!  Park 

Henrietta  Township 

Hesperia       

Highland  Park 
Hillsdale 

Holland 

Holly 

Homer 

Houghton 

ard  Township 

Howell 

Hudson 

Hudson  ville 

ntington  Woods 
ron  Township 
Imlay  City 

Ionia  

on   Mountain 
Iron  River 

Ironwood 

[shpeming 

Ithaca 

Jonesville 
Kalamazoo 


272 


Table  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1986 — Continued 

T°tal  Total  Total 

P°,ce  officers        civilians  Clt"  P°,'" 

employees  employees 


MICHIGAN— Continued 


MICHIGAN— Continued 


Muskegon 
Muskegon  Heights 
Muskegon  Township 
Napoleon  Township 
Nashville 

Negaunee 

Newaygo 

Baltimore  

New  Buffalo  

New  Lothrop 

Niles 

Niles  Township 

Northfield  Township 

North  Muskegon  

Northville 
Northville  Township 

Norton  Shores        

Norvell  Township 
Norway 

Oak  Park 

Olivet 

Onaway 

Ontonagon  

Ontwa  Township- Edwardsburgh 

Orchard  Lake 

Oscoda-Ausable  Township        

Otisville 

r  Lake 

Ovid  

Owosso 

Oxford 

Parchment 

Parma        

Paw  Paw 

Peck 

Pennfield  Township 

Pent  water  

Perry 

Petoskey 

Pinckney 
Pinconning 
Pittsfield  Township 
Plainwell 
Pleasant   Ridge 
Plymouth 

Pontiac     

Portage  

Port  Austin 

Port  Huron 

Portland 

Port  Sanilac 

Potterville 

Prairieville  Township 

Quincy 

Reading 

Redford  Township 

Reed  City 

Reese 

Richfield  Township  (Genesee  County) 

Richfield  Township  (Roscommon  County) 

Richland 

Richland    Township    

Richmond 

r  Rouge 
Riverview 
Rochester 
Rockford 

Rockwood  

Rogers  City  

Romeo  


Table  77. —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1986 — Continued 


Total 

Total 

Total 

Total 

Total 

Total 

City 

employees 

officers 

civilians 

City 

police 
employees 

civilians 

MICHIGAN— Continued 

MICHIGAN— Continued 

Romulus                       

46 

38 

8 

Wayne 

46 

35 

11 

Roosevelt  Park 

7 

6 

1 

West  Bloomfield  Township 

48 

36 

12 

Rose  City 

1 

West  Branch 

3 

Roseville 

89 

79 

10 

Westland 

101 

89 

Ross  Township 

2 

White  Cloud 

Royal  Oak 

102 

90 

12 

Whitehall 

6 

6 

Royal  Oak  Township 

28 

23 

5 

White  Lake  Township 

21 

13 

8 

Saginaw 

150 

135 

15 

White  Pigeon    ., 

2 

2 

Saginaw  Township 

33 

29 

4 

Wilhamston 

4 

Saint  Charles 

3 

Wixom 

14 

12 

2 

Saint  Clair 

9 

1 

Wolverine  Lake 

8 

6 

: 

Saint  Clair  Shores 

90 

84 

6 

Woodhaven 

25 

23 

2 

Saint  Ignace 

5 

Wyandotte 

58 

48 

10 

Saint  Johns 

15 

11 

4 

Wyoming 

97 

71 

26 

Saint  Joseph 

25 

21 

4 

Yale 

4 

3 

1 

Saint  Joseph  Township 

9 

1 

Ypsilanti 

52 

40 

12 

Saint  Louis 

8 

2 

Zeeland                   

7 

6 

1 

Saline 

16 
1 

l\ 

4 

Zilwaukee                

4 

4 

Sand  Lake 

Sandusky        

MINNESOTA 

Saugatuck    

3 

1 

Sault  Sainte  Mane 

27 

25 

2 

Albert  Lea 

38 

29 

9 

Schoolcraft 

2 

Alexandria 

20 

14 

6 

Scottville 

3 

32 

25 

7 

Sebewaing 

3 

Apple  Valley 

32 

23 

9 

Shelby 

3 

Austin 

48 

32 

16 

Shelby    Township 

45 

38 

7 

Babbitt 

4 

4 

Shepherd 

1 

Baxter 

3 

3 

Somerset  Township 

1 

Baypon 
Belle  Plaine 
Bemidji 

4 

Southfield 

198 

151 

47 

25 

Southgate 

54 

44 

10 

17 

South  Haven 

16 

3 

Big  Lake 

5 

South  Lyon 

8 

1 

4 

37 

A 

South   Rnckwood 

1 

30 

i 

Sparta 

8 

3 

Bloomington 

117 

94 

Spaulding  Township 

1 

Blue  Earth 

5 

6 

Spring  Arbor  Township 

2 

Brainerd 

20 

17 

3 

Springfield 

11 

10 

1 

Breckenridge 

11 

7 

Spring  Lake 

4 

Brooklyn  Center 

38 

29 

9 

Spnngport 

1 

Brooklyn  Park 

56 

45 

1 

Buffalo 

8 

7 

Sterling  Heights 

210 

155 

55 

Burnsville 
Caledonia 

58 
3 
6 
6 

13 

45 

Stevensvilte 

18 

14 

4 

6 

Summit  Township 

77 

46 

31 

Cannon  Falls 
Champlin 

Sumpter  Township 

7 

1 

12 

1 

Sunfield 

1 

1 

(  h.inh.issen  Village                                 

5 

3 

2 

Swart l  Creek 

8 

7 

1 

Chaska 

10 

q 

I 

Sylvan  Lake 

5 

5 

Chisholm 

13 

13 

Taylor 

105 

95 

10 

Circle  Pines-Lexington 

8 

7 

1 

Tecumseh 

13 

Cloquet 
Cold  Spring 

16 

15 

Thomas  Township 

1 

1 

Three  Oaks 

3 

3 

Columbia  Heights   

23 

18 

5 

Three  Rivers 

17 

12 

5 

Coon  Rapids 

51 

45 

6 

Tittabawassee 

3 

3 

Corcoran     

4 

3 

1 

Traverse  City 

28 

27 

1 

Cottage  Grove 

32 

20 

12 

Trenton 

54 

47 

7 

Crookston 

14 

12 

2 

Troy 

153 

110 

43 

Crosby 

g 

3 

Tuscarora  Township 

4 

4 

Crystal 

38 

30 

8 

Twin  City 

4 

4 

Dawson 

3 

3 

Unadilla  Township 

1 

1 

Dayton 

1 

Union  City 

3 

3 

Deephaven 

8 

7 

1 

Unionville 

2 

2 

Detroit  Lakes 

13 

11 

2 

Utica                       

12 

8 

4 

Dilworth 

2 

2 

Van  Buren  Township 

9 

7 

2 

Duluth 

168 

130 

38 

Vassar 

4 

4 

36 

29 

7 

Vermontville  Township 

2 

2 

East  Grand  Forks 

18 

15 

3 

Vernon 

1 

1 

Eden  Prairie                   

43 

29 

14 

Vicksburg 

7 

6 

1 

Edina 

47 

43 

4 

Walker 

22 

19 

3 

Elk  River 

12 

10 

2 

Walled  Lake 

14 

10 

Ely  . 
Eveleth    . 
Fairmont 
Faribault 

10 
28 

Warren 

269 

229 

40 

8 
21 

Waterford  Township 

77 

60 

17 

Watervliet 

7 

Wayland 

4 

"able  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,   1986 — Continued 


Total 
police 

cinplou-cs 


Total 

police 

employees 


MINNESOTA— Continued 


MINNESOTA— Continued 

Rochester 

Roseville 

Rosemount 

Saint  Anthony  

Saint  Bonifacius-Minnetnsta 

Saint  Cloud 

Saint  James 

Saint  Joseph 

Saint  Louis  Park 

Saint  Paul    

Saint  Paul  Park 

Saint  Peter 

Sartell 

Sauk  Centre 

Sauk  Rapids    

Shakopee         

Silver  Bay 

Slayton  

Sleepy  Eye 

South  International  Falls 
South  Lake  Minnetonka 
South  Saint  Paul 

Springfield 

Spring  Lake  Park  

Staples 

Stillwater 

Thief  River  Falls 

Two  Harbors    

Virginia  

Wabasha 

Wadena 

Waite  Park 

Waseca 

Wayzata 
Wells 

West  Hennepin 

West  Saint  Paul 
White  Bear  Lake 
Willmar 

Windom  

Winona 

Woodbury  

Worthington  

Aberdeen 
Ackerman 

Amory 

Batesville 

Bay  Saint  Louis 

Bay  Springs 

Brookhaven 

Calhoun  City 

Clarksdale 

Cleveland 

Clinton 

Coldwater 

Collins 

Columbia 

Columbus 

Connth 
Decatur 
De  Kalb 
Drew 

Flowood 

Fulton 
Greenville 


275 


Table  77. —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1986 — Continued 

T°Ial      I  Total      I      Total      | 

po,1,ce  officers        civilians                                            Clty                                             P°,'" 
employees                                                                                                                                  employees 


MISSISSIPPI— Continued 


MISSOl  RI— Continued 


Greenwood 

Grenada 

Gulfport 

Hattiesburg 

Hazlehurst 

Hernando 

Hollandale 

Indianola  . 

Inverness 

Iuka 

Jackson 

Kosciusko 

Laurel 

Leakesville 

Long  Beach 

Lucedale 

Macon 

Madison 

Magee 

McComb 

Meridian 

Morton 

Moss  Point 

Natchez 

Newton 

Ocean  Springs 

Oxford 

Pascagoula 

Pearl 

Pelahatchie 

Petal 

Philadelphia 

Picayune 

Poplarville 

Purvis 

Raymond  . 
Ridgeland 
Ripley 
Rolling  Fork 

Ruleville 

Sandersville 

Senatobia 

Shelby 

Starkville 

Sunflower 

Terry 

Tupelo 

Vicksburg 

Water  Valley 

Waveland 

Waynesboro 

Wiggins 

Winona 

Yazoo  City 


MISSOURI 


Arnold  

Ballwin 

Bellefontaine  Neighbo 

Bel-Nor 

Bel-Ridge 

Belton 
Berkeley 
Blue  Springs 
Bolivar 
Bonne  Terre 

Boonville 

Branson     

Breckenridge  Hills 

Brentwood 

Bhdgeton 

Brookfield 


Butler 

California 

Calverton  Park 

Cameron 

Canton 

Cape  Girardeau 

Carrollton 

Carthage 

Chaffee 

Charlack 

Claycomo 

Clayton 

Clinton 

Columbia 

Cool  Valley 

Country  Club  Hills 

Crestwood 

Creve  Coeur 

Crystal  City 

Dellwood 

De  Soto 

Des  Peres 

Edmundson 

Ellisville 

Excelsior  Springs 

Farmington 

Fayette 

Fenton 

Ferguson 

Festus 

Flat  River 

Florissant 

Frontenac 

Gladstone  .... 
Glendale 

n  Valley 

Hanley  Hills.    . 
Hannibal ... 
Harnsonville 
Hazelwood 

Hillsdale 

Independence 

Jackson 
Jefferson  City 

Joplin 
Kansas  City 

Kennett 
Kirksville 

Kirkwood 

Ladue 

Lake  Lotawana 
Lake  Saint   Louis 

Lebanon 
Lees  Summit 
Lexington 
Louisiana 

Maplewood 

Marshall 
Maryland  Heights 


276 


able  77. —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1986 — Continued 

Tf      I  Total      I      Total      II 

P0''ce  officers        civilians                                            Cl,y                                             P0'" 
employees                                                                                                                                  employees 


MINSOIRI— Continued 


MONTANA— Continued 


t  Hills 
and  Country 


Fort  Benton 

Glasgow 

Glendive 
Great  Falls 

Hamilton 

Havre 

Helena 

Kahspell 

Laurel    

Livingston    

Malta 

Miles  ("ity-Custer  County 

Missoula 

Plenty  wood 

Poison 
Red  Lodge 

Thompson  Falls 

Troy 

West  Yellowstone 

Whitefish 

Wibaux 

NEBRASKA 

Alliance 

Ashland 

Aurora 
Beat  nee 
Bellevue 
Blair 
Broken  Bow 

Central  City 

Chadron 

Columbus  

Cozad 
Crete 

Dakota  City 
David  City 
Elkhorn 
Fairbury 
Falls  City 
Fremont 

Gordon  

Gothenburg 

Grand  Island        

Hastings 
Holdrege 

Kimball 

La  Vista 

Lexington 

Lincoln 

Madison 

McCook 

Milford 

Mitchell 

Nebraska  City  

Norfolk 

North  Platte 

Ogallala 

Omaha 

O'Neill 

Ord 

Papillion        

Plattsmouth 

Ralston 

Schuyler 

ScottsblufT 

Seward 


277 


Table  77. —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1986 — Continued 


Total 

employees 


Total 
police 

mployees 


NEBRASKA— Continued 


South  Sioux  City 
Stanton 

Syracuse 

Tecumseh 
Tekamah 


Valley 

Wahoo 

Wayne 

West  Point 

Wilber 

York 


NEVADA 

Boulder  City 

Caliente   

Carlin 

Fallon 

Las  Vegas  Metropolitan  Police  Jurisdiction 
Lovelock 

North  Las  Vegas 

Reno         

Sparks 

Winnemucca 

Yenngton  

NEW  HAMPSHIRE 

Allenstown 

Alton 

Amherst 

Ashland 

Auburn 

Barnngton 

Bedford 
Belmont 
Berlin 

Boscawen 

Bow 

Bradford   

Bristol 

Carroll     

Charlestown 

Claremont 

Colebrook 

Concord  

Conway  

Derry       

Dover  

Durham 

Enfield 
Epping 

Exeter 

Farmington 

Fitzwilliam  

Franklin    

Gilford 

Goffstown  

Gorham 

Greenville 

Hampstead      

Hampton  

Hanover  

Haverhill 

Hillsboro 

Hinsdale  

Holderness 
Hollis 

Hooksett 

Hopkinton 

Hudson 

Jackson 


NEW  HAMPSHIRE— Continued 

Keene 

Kingston  

Laconia 

Lancaster    

Lebanon  

Lee   

Lincoln 

Litchfield  

Littleton 

Londonderry  

Manchester 

Meredith .....  

Merrimack        

Milford 
Milton 
Moultonboro 
Nashua 
New  Castle 
New  Hampton 

Newington    

New  London 

Newmarket   

Newport     

Newton 

Northfield  

North  Hampton 

Northumberland 

Northwood 

Pelham       

Pembroke  

Peterborough 

Plainfield 

Plaistow 

Plymouth 

Portsmouth 

Raymond 

Rochester 

Rye 

Sanbornton  

Seabrook    

Somersworth  

Sunapee 

Tilton  

Wakefield 
Waterville  Valley 
Webster 
Wilton 

Winchester  

Windham 
Wolfeboro 
Woodstock 


NEW  JERSEY 


Aberdeen  Township 

Absecon  

Alexandria  Township 

Allendale  

Allenhurst 

Allentown   

Andover  Township 

Asbury  Park 

Atlantic  City 
Atlantic  Highlands 

Audubon  

Audubon  Park 

Avalon 

Avon-by-the-Sea 

Barnegat  Township 


ible  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1986 — Continued 


Total 
police 

employees 


Total 
police 

employees 


NEW   JERSEY— Continued 


Township 
linson  Township 


NEW  JERSEY— Continued 


Dover  Township 

Dumont  

Dunellen 

Eastampton  Township 
East  Brunswick  Township 
East  Greenwich  Township 
East  Hanover  Township 

East  Newark 

East  Orange 

East  Rutherford 

East  Windsor  Township 

Eatontown 

Edgewater 

Edgewater  Park  Township 
Edison 

Egg  Harbor  City 

Egg  Harbor  Township 

Elizabeth 

Elk  Township 

Elmwood  Park 

Emerson 

Englewood 

Englewood  Cliffs 

Englishtown 

Essex  Fells 

Evesham  Township  

Ewing  Township 

Fairfield 

Fairfield  Township 

Fair  Haven 

Fair  Lawn 

Fairview  

Fanwood 

Far  Hills 

Flemington 

Florence  Township 

Florham  Park 

Fort  Lee 


Franklin  Lakes  

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

Freehold 

Freehold  Township    

Frenchtown  

Galloway  Township  

Garfield 

Garwood        

Gibbsboro  

Glassboro    

Glen  Ridge     

Glen  Rock 

Gloucester  City 

Gloucester  Township 

Green  Brook 

Greenwich  Township  (Gloucester  County) 
Greenwich  Township  (Warren  County) 

Guttenberg    

Hackensack 

Hackettstown 

Haddonfield  

Haddon  Heights 

Haddon  Township     

Hainesport  Township 

Haledon 

Hamburg  


Hampton 

Hanover  Township 
Harding  Township 
Hardyston  Township 


Table  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1986 — Continued 


Total 

employees 


Harrington  Park 
Harrison 

Harrison  Township 
Harvey  Cedars 
Hasbrouck  Heights 

Haworth 

Hawthorne 

Hazlet  Township 

Helmetta 

High  Bridge    . 

Highland  Park 

Highlands 

Hightstown 

Hillsborough  Township 

Hillsdale 

Hillside  Township 

Hi  Nella 

Hoboken 

Ho-Ho-Kus 

Holland  Township 

Holmdel  Township 

Hopatcong 

Hopewell  Township 
Howell  Township 
Interlaken 

Island  Heights 

Jackson  Township        

Jamesburg 
Jefferson  Township 
Jersey  City 
Keansburg 

Kenilworth 

Kinnelon 

Lacey  Township 

Lakehurst 

Lakewood 

Lambertville 

Laurel  Springs 

Lavallette 

Lawnside 

Lawrence  Township  (Merc 

Lebanon  Township 

Leonia 

Lincoln  Park 

Lindenwold 

Linwood 

Little  Egg  Harbor  Township 
Little  Falls  Township 
Little  Ferry 

Little  Silver 

Livingston 

Lodi 

Logan  Township 

Long  Beach  Township 

Long  Branch 

Longport 

Lopatcong  Township 

Lower  Alloways  Creek  Township 

Lower  Township 

Lumberton  Townshtp 

Lyndhurst  Township 

Madison 

Magnolia 

Mahwah  Township 

Manalapan  Township 

Manasquan         

Manchester  Township 

M.mstirld  Township 

Mantoloking 

Mantua  Township       


dun 


NEW  JERSEY— Continued 


Maple  Shade  Township 
Maplewood  Township  .  .. 
Margate  City 

Marlboro 

Matawan 


Maywood 

Medford  Lakes 

Medford  Township  

Mendham.. 

Mendham  Township  

Merchantville 

Metuchen 

Middlesex  

Middle  Township  

Miduletown  Township 
Midland  Park 

Milford 

Millburn  Township    

Milltown 

Millvilie 

Mine  Hill  Township 

Monmouth  Beach     

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

Montclair 

Montgomery  Township  

Mont  vale 

Montville  Township 

Moonachie  

Moorestown  Township  

Morris  Plains 

Mornstown  

Morris  Township 

Mountain  Lakes 

Mountainside  

Mount  Arlington  

Mount   Ephraim  

Mount  Holly 

Mount  Laurel  Township  

Mount  Olive  Township  

Mullica  Township 
National  Park 
Neptune       ... 
Neptune  Township    . 

Netcong 

Newark 

New  Brunswick         

Newfield ... 

New  Hanover  Township  

New   Milford 
New  Providence 
Newton 
North  Arlington 

North  Bergen  Township 

North  Brunswick  Township 

North  Caldwell 

Northfield 

North  Haledon 

North  Hanover  Township 

North  Plainfield 

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 


tie  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1986 — Continued 

T°tal      I  Total      I      Total      II 

po,1,ce  officers        civilians                                            Clty                                             P°,1k 
employees                                                                                                                                 employees 


NEW  JERSEY— Continued 


NEW  JERSEY— Continued 


Shrewsbury 
So  me  rd  ale 
Somers  Point 
Somerville 
South  Amboy 

South  Belmar  

South  Bound  Brook 

South  Brunswick  Township 

South  Hackensack 

South  Harrison  Township 

South  Orange 

South  Plainfield 

South  River 

South  Toms  Ri\er 

Sparta  Township 

Spotswood 

Springfield 

Spring  Lake  

Spring  Lake  Heights 

Stafford  Township 

Stanhope 

Stillwater  Township 
Stone  Harbor 
Stratford 
Summit 
Surf  City 


Swedesboro 

Tea  neck  Township 

Teterboro 

Tewksbury  Township 

Tinton  Falls 

Totowa 

Trenton 

Tuckerton 

m  Beach 

n  City 

•n  Township 
Upper  Saddle  River 

nor  City 

Vernon  Township 

Verona      

Vineland 

Voorhees  Township 
Waldwick 
Wellington 
Wall  Township 

Wanaque 

Warren  Township 

Washington 

Washington   Township  {Bergen  County) 

Washington  Township  (Gloucester  County) 

Washington  Township  (Mercer  County) 

Washington  Township  (Morns  County) 

Washington  Township  (Warren  County) 

Watchung 

Waterford  Township 

Wayne  Township 

Weehawken  Township 

Wenonah 

Westampton  Township 

West  Amwell  Township 

West  Caldwell 

West  Cape  May 

West   Deptford  Township 

West  field 

West  Long  Branch 

Milford  Township 
West  New  York 
West  Orange 
West  Patterson 
Westville 
West  Wildwood 
West  Windsor  Township 


Table  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities, 

October  31,   1986 — Continued 

City 

Total 
police 

employees 

Total 
officers 

Total 
civilians 

City 

Total 
employees 

Total 

Total 

civilian 

NEW  JERSEY— Continued 

26 
11 

42 
26 
77 

5 
72 
202 
31 

6 
17 

17 
7 
5 

25 

75 

1,054 

20 

25 
7 
2 
1 
13 
75 
12 
8 
27 
3 
10 
112 
94 
30 
97 

9 

5 

113 
50 
42 
15 
28 
10 
22 

5 
24 
45 
95 
33 
10 
10 
28 

3 
25 

7 
15 
30 

5 

1 

3 
374 
5 
6 
166 
22 
39 

25 
10 
33 
21 
62 

5 
57 
168 
24 

5 

4 
17 
6 
5 

23 

57 
683 
13 
7 
19 
6 
2 
1 
7 
57 
6 
4 
21 
3 
5 
85 
46 
19 
65 

5 

2 
87 
35 
31 
12 
19 

6 
19 

2 
17 
33 
70 
31 
10 

22 
3 

18 
3 
9 

21 
2 
1 

1 

3 

313 

5 

140 
22 
37 

1 
9 
5 
15 

15 
34 

7 

1 

1 
2 

18 
371 

7 

6 

18 

5 
27 
48 

32 

3 
26 
15 
11 
3 
9 

3 
3 
7 
12 
25 
2 

6 

7 

6 
9 
3 

61 

26 

2 

NEW  YORK— Continued 
Andover 

5 
3 

5 
3 

10 
14 
33 
39 
39 
142 

2 

17 
49 
14 
27 
6 
1,148 

14 

28 
6 
3 

13 
37 
5 

6 

5 
3 
3 
6 
136 
1 
2 
6 
5 

36 
3 
141 
6 
3 

28 
5 

43 
3 

5 
10 

1 
30 
19 
60 
18 
21 
54 
8 
9 
15 

89 

50 
1 
23 
10 
43 
1 
5 

1 
5 

3 
1 
5 

3 
6 
10 
31 
36 
31 
134 

1 

2 
17 
40 
14 
23 

6 
1,032 

3 
13 

26 
6 
3 
11 
36 
5 
1 
5 
5 
3 
3 
6 
120 

6 
2 

32 
3 
104 
6 
3 

28 
5 

39 
3 
1 

7 

30 
15 
52 
13 
16 
45 

7 

7 
12 
11 

1 
84 
14 
38 

1 
19 

9 
35 

1 

5 



Attica 

Winslow  Township 

Woodbridge  Township 

Woodbury                    

Woodbury  Heights 

Woodchff  Lake 

Woodlynne                                 

Ballston  Spa 

Bath 

Beacon 

Bedford 

Bethlehem 

Binghamlon 

Blasdell 

Woolwich 
Wyckoff 

Bronxville 

Buffalo    ...               ............                 

Caledonia 

Canajoharie 

Canandaigua 

Canastota 

Canisteo      

Canton                      ... 
Carmel                       

Aztec- 
Bayard                      

Bosque  Farms 

Centn 

Ca/enovia 

Estancia    

Eunice 

Farmington 

Clarkstown 
Clifton  Springs 

Cobleskill 

Cold  Spring 

Colonie 

Jal 

Los  Alamos                                                  

Rio  Rancho 

Crawford 
Dansville 
Delhi 

Dunkirk 

East  Aurora-Aurora  Town 

Eastchester 

East  Greenbush 

East  Hampton  Village 

East  Hampton  Town.. 

East   Rochester    

East  Syracuse 
Ellenville 
Ellicott     ... 
Elhcottville 

Santa  Rosa               

Taos 

Tatum 

NEW  YORK 

Addison 

Fairport 

Florida  Village 
Fori   Edward 

282 


ible  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1986 — Continued 


police 

employees 


Total 

employees 


NEW  YORK— Continued 

Middleport 

Mill  Neck     

Mohawk 

Monroe 

Montgomery  Town 

Monticello 

Mount  Kisco 

Mount  Pleasant 
Naples 

Newark  

Newburgh     

Newburgh  Town 

New  Castle 

New  Hartford  Town  and  Village 

New  Paltz  Town  and  Village 

New  Rochelle 

New  Windsor  Town 

New  York 

New  York  Mills 

Niagara 

Niagara  Falls 

Niskayuna  Town 
Nissequogue  Village 
Norfolk  Town 

North  Castle 

North  Greenbush  Town  

North  Hornell  Village 

Northport  Village 

North  Syracuse 

North  Tarrytown 

North  Tonawanda 

Norwood  Village 

Ocean  Beach  Village  

Ogden 

Ogdensburg    

Old  Hrookville 
Olean 

Oneida    

Oneonta 
Orchard  Park 

Owego  Village 

Oyster  Bay  Cove 

Palmyra 

Pawling 

Peekskill 
Pelham  Manor 
Penn  Yan 
Perry 

Piermont  Village  

Plattsburgh 

Pleasantville 

Port  Chester 

Port  Dickinson        

Port  Henry 

Port  Jervis 

Portville 

Port  Washington 

Potsdam 

Poughkeepsie 

Poughkeepsie  Town 

Pulaski 

Putnam  Valley 

Quogue  Village 

Ramapo  Town 
Red  Hooks 
Rensselaer 
Riverhead  Town 

Rochester 

Rockville  Centre 

Rotterdam      

Rouses  Point 

Rye  Brook 

Sag  Harbor 


283 


Table  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1986— Continued 


Total 

employees 


NEW  YORK— Continued 

Saint  Johnsville 

Salamanca 
Sands  Point 

Saugerties  Village  

Scarsdale  

Schenectady  

Schodack  Town  

Schoharie         

Seneca  Falls 
Sherrill 

Sidney 

Silver  Creek 
Skaneateles 
Sodus  Point 
Solvay 

Southampton  Town 
Southampton  Village 
South  Glens  Falls 
South  Nyack 

Southport 

Spring  Valley 

Suffern  

Tonawanda  Town 

Troy 

Tuckahoe 

Tupper  Lake 

Ulster 

Vestal 

Walden 

Warwick 

Warwick  Town 

w  jshingtonville 

Waterloo 

Watervhet 

Watkins  Glen 

Webb 

Webster 

Wellsville 

Westhampton  Beach  Village 

White  Plains 

Whitesboro 

Windham 

Wolcott  Village 

Woodbury 

Woodhull  Village 

Woodndge 

Woodstock  Town 

Yonkers 

Yorktown 

Yorkville 

NORTH  CAROLINA 

Aberdeen 

Ahoskie 

Albemarle 

Andrew 

Angier 

Archdale 

Asheboro 

Asheville 
Atlantic  Beach 

Ayden 

Bailey 

Banner  Elk 

Battleboro 

Beach   Mountain 

Beaufon 

Belhaven 

Belmont 


NORTH  CAROLINA— Continued 

Benson 

Bessemer  Citv  

Bethel  

Beulaville 
Biltmore  Forest 

Black  Creek 

Black  Mountain  

Bladenboro  

Blowing  Rock 

Boiling  Springs  

Boiling  Springs  Lakes 

Brevard  

Bridgeton 

Broadway  

Brookford 
Bryson  City 

Bunn    

Burlington  

Butner  

Calypso      

Candor 

Canton  

Cape  Carteret  

Carolina  Beach  

Carrboro 

Cary  

Catawba 
Chadbourn 
Chapel  Hill 
Charlotte 
Cherry ville ..... 
China  Grove 
Claremont 


Clyde 

Coats 

Concord 

Conover 


Dallas 

Davidson 

Denton 

Dobson 

Drexel 

Dunn 

Durham 

Eden       . 

Edenton 

Elizabeth  City 

Elkin 

Ellerbe 

Elm  City 

Elon  College 

Emerald  Isle 

Enfield 

Erwin 

Fair  BlufT 

Fayetteville 
Forest  City 
Franklin 
Franklinton 
Fremont ....... 

Fuquay-Varina 

( raston 

Gastonia 

Gibson 


77. —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1986 — Continued 


Total 

police 

employees 


Total 

police 

employees 


NORTH  CAROLINA— Continued 


NORTH  CAROLINA— Continued 


Mount  Gilead 

Mount  Holly 

Mount  Olive 
Murfreesboro 

Murphy  

Nags  Head 

Nashville 
New  Bern 
Newland 

Newport  

Newton 

North  Wilkesboro 

Norwood  

Oakboro 
Oxford 
Pembroke 
Pilot  Mountain 

Pine  Knoll  Shores 
Pinetops 
Pineville 
Pink  Hill 

Pittsboro  

Plymouth 

Polkton 

Princeton 

Raeford 

Raleigh 

Ramseur 

Randleman 

Ranlo 

Red  Springs 

Reidsville 

Richlands 

■r  Bend 
Roanoke  Rapids 

Robbins  

Robbinsville 

Robersonville 

Rockingham 

Rocky  Mount 
Rose  Hill 

Rowland 

Roxboro 
Rutherfordton 
Saint  Pauls 
Salisbury 

Sanford 

Scotland  Neck 

Selma 

Shallotte 

Shelby 

Siler  City 

Smithfiefd 

Southern  Pines 

Southern  Shores 

Southport 

Sparta 

Spindale 

Spring  Hope 

Spring  Lake 

Spruce  Pine 

Stantonsburg 

Star 

Statesville 


Sugar  Mountain 
Sunset  Beach 
Surf  City 
Swansboro 
Sylva 
Tarboro 
Taylorsvillc 
Thomasville 


Table  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1986 — Continued 

Total 

employees 


NORTH  CAROLINA— Continued 


OHIO— Continued 


Topsail  Beach 
Trentwood 
Troutman 
Troy 

Valdese 

Vanceboro 

Vass 

Wadesboro 

Wake  Forest 

Wallace 

Walnut  Cove 

Warrenton 

Warsaw 

Washington 

Waxhaw 

Waynesville 

Weaverville 

Weldon 

Wendell 

West  Jefferson 

Whispering  Pines 

White  Lake 

Whiteville 

Wilkesboro 


Winston-Salem 

Winterville 

Woodfin 

Woodland 

Wnghlsville  Beac 

Yadkinville 

Zebulon    ..  . 


NORTH  DAKOTA 


Bismarck 
Bowman 
Carnngton 
Devils  Lake 
Dickinson 

Grafton 

Grand  Forks 

Hazen 
Hillsboro 

Jamestown 

Mandan 
Mayville 
Minot 
Rugby 
Valley  City 
Wahpeton 
Watford  City 
West  Fargo 
Wilhston 


Archbold 

Arlington  Heights 
Ashland 


Ashtabula 

Aurora    

Avon  Lake 

Bainbndge    

Barberton 
Bath    Township 
Bay  Village 
Bazetta  Township 
Beavercreek  Township 

Bedford  

Bedford  Heights 

Bellaire 

Bellbrook 

Bellefonlaine   

Belpre 

Berea  

Bethel 
Beverly 

Blanchester      

Blue  Ash 

Bluffton  

Boardman 

Bowling  Green 

Bradford       

Brady  Lake 

Brecksville 

Brewster 
Briarwood  Beach 

Bridgeport 

Broadview  Heights 

Brookfield  Township 

Brooklyn 

Brooklyn  Heights 

Brook  Park 

Brookville 

Brunswick      

Burton  

Cadiz 

Cambridge 

Canal  Fulton 

Canfield 

Canton 

Carey      

Carlisle 
Celina 

Centerville 

Chagrin  Falls 

Chardon 

Cheviot 

Chillicothe 

Cincinnati 

Circleville 

Clear  Creek  Township 

Cleveland 

Clinton  Township 

Clyde 

Coldwater 

Columbiana    

Columbus 

Conneaut    

Covington 

Cuyahoga  Falls 
Dalton 

Dayton  

Defiance.  . 

Delhi  Township 

Delta 

Dennison 


able  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,   1986 — Continued 


Total 

employees 


Total 
police 

rnplou-! 


OHIO — Continued 


OHIO— Continued 


Lexington 
Liberty  Township 
Lima 

Lockland 

Logan 

London 

Loudonville 
Louisville 

Loveland 
Lyndhurst 
Madeira 

Madison    township  (Lake  County) 

Madison  Township  (Montgomery  County) 

Mansfield 

Maple  Heights 

Manemont 

Marietta 

Marion 

Marlboro  Township 

Mason 

Massillon 

Maumee 

Mayfield    

Mayfield  Heights 

McConnelsville 

Mentor 

Mentor-on-the-Lake 

Miamisburg 

Miami  Township 

Middleburg  Heights 

Middlefield 

Middletown 

Milford 

Minerva 

Minerva  Park 

Mingo  Junction 

Mogadore 

Montgomery 

Montpeher 

Moraine 

Mount  Sterling 

Munroe  Falls 

Napoleon   

Navarre  

Newark 

Newcomerstown         

New  Lebanon 

New  Lexington 

New  Philadelphia 

Newtown 

Niles 

North  Canton 

North  College  Hill 

North  Kingsville 

North  Olmsted 

North  Ridgeville 

North  Royalton 

Northwood  

Norton 
Norwalk 

Norwood        

Oak  Harbor 

Oakwood 

Oakwood  Village 

Oberlin 

Olmsted  Falls 

Ontario 

Oregon 

Orrville 

Ottawa 

iwa  Hills 
Oxford 


287 


Table  77. —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,   1986 — Continued 

Total 

mpiovivs 


OHIO — Continued 


OHIO — Continued 


Perkins  Township 

Perrysburg 

Perry  Township  (Stark  County) 

Pierce  Township 

Port  Clinton 

Portsmouth 

Randolph  Township 

Reading 

Reynoldsburg 

Richfield 

Richmond   Heights 

Richwood 

Rittman 

Riverside 

Rossford 

Sagamore  Hills 

Saint  Marys 

Salem 

Sandusky 

Sebring 

Seven  Hills 

Seville 

Shadyside 

Shaker  Heights  

Sharonville 

Shelby 

Silverton 

Smith  Township 

South  Euclid 

South  Russell 

South  Solon  

Spencerville 

Spnngboro  

Spnngdale 

Springfield 

Steubenville 

Stow 

Streetsboro 

Strongsville 

Sunbury 

Swanton 

Sylvania 

Sylvania  Township 

Tallmadge 

Terrace  Park 

Tiffin 

Tipp  City 

Toronto 

Trotwood 

Troy 

Twinsburg 

Uhrichsville 

Union  City 

Uniontown 

Union  Township  (Butler  County) 

Union  Township  (Clermont  County) 

Union  Township  (Licking  County) 

University  Heights 

Upper  Arlington 

Upper  Sandusky 

Urbana 

Valley  View 

Vandaha 


V>.,dsu,,| 


Warrensville  Township 
Washington  Court  Hous 
Washington  Township 
Waterville  ... 

Wauseon 

Waverly 
Waynesville 
Wellington 
Wellsville 
West  Carrollton 
Westerville 
West  Jefferson 
Westlake 
Weston 
West  Union 
Whitehall 
'ickliffe 
Willard 
Willoughby 
Willoughby  Hills 
Wilmington 
Windham 
Woodlawn 
Woodsfield 
Woodville 
Wooster 
Worthington 
Wyoming 
Xenia 
Yellow  Springs 

Zanesville 


Afton 
Altus 
Alva 
Anadarko 

Apache 

Ardmore 

Arkoma 

Atoka 

Bamsdall 

Bartlesville 

Beggs 

Bethany 

Bixby 

Blackwell 
Blanchard 

Bristow 

Broken  Arrov 
Broken  Bow 


Wa 


11.11 


Walbridgc 
Walton  Hills 
Wapakoneta 

Warrensville   Heights 


s  Flat 
Carnegie 
Catoosa 
Chandler 
Checotah 

Chelsea 

Cherokee 

Chickasha 

Choctaw 

Chouteau 

Claremore 

Clayton 

Cleveland 

Chnlon 

Coalgate 

Colhnsville 

Comanche 

Commerce 

Coweta 


■  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,   1986 — Continued 


Total 
police 

employee 


Total 

employees 


OKLAHOMA— Continued 


OKLAHOMA- 


3 
6 

Moore 

Morris 

9 

Nichols  Hills 
Nicoma  Park 
Noble  

6 

Nowata  

1 

Okeene 

4 

Porum 

Poteau 

4 

4 
3 

3 

Rush  Springs 

Sallisaw 
Sand  Springs 

Selling 

1 

Spencer 

Sniro 

j 

. 

Stilwell 

Stratford 

Stroud 

7 
5 

Village 
Vinita 
Wagoner 
Walters 

31 

Watonga 

Table  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities 

October  31,  1986 — Continued 

City 

Total 
police 

Total 

Total 

civilians 

City 

Total 
police 

employees 

Total 
officers 

Total 
civilians 

OKLAHOMA— Continued 

Watts 

Waukomis    

21 
14 

28 
2 

10 
6 

30 

44 
3 
1 
29 
22 
2 
3 
1 
16 
6 
61 
41 

12 
9 

17 

5 

16 
6 

35 
10 
10 
74 
21 
1 
15 
1 
2 
6 
6 

231 
14 
23 
2 
1 
2 
19 
5 

37 
64 

3 
20 
45 

2 
10 

2 

19 
21 

33 
3 
1 

20 

15 
2 
3 
1 

11 
5 

52 

32 
4 
7 
5 
1 

12 
4 

1 

11 
5 
1 

26 
6 

42 
13 
1 
14 

2 

5 
4 
4 

141 
8 
17 
2 

2 

12 
5 
1 
27 
46 
3 
15 
39 

8 
8 
2 

2 

5 

7 

1 
2 

9 

5 

3 
9 

9 

7 

5 
1 
9 

5 

5 
1 

5 

9 

32 
8 

OREGON— Continued 

2 
8 
B 

16 
37 
25 
57 
5 
21 
21 
6 
1 
25 
86 
2 
12 
34 
8 
11 
1 
5 
13 
10 
27 
20 
19 

10 
2 
11 
22 
38 
28 
3 
5 
1,032 
3 
2 
16 
6 
20 
17 
3 

42 
20 
195 
9 
7 
21 
1 
3 
5 
10 
5 
74 
3 

10 
11 
14 
2 
17 
35 
8 
11 
9 
13 
2 
8 
2 

4 
3 

4 
18 

2 

5 

15 
29 
16 
39 

5 
16 
16 

5 

20 
59 

2 

7 
23 

7 
10 

1 

8 
6 

18 
17 
15 

16 
24 
20 

745 

15 
12 

32 
128 

52 

10 

15 
28 

12 
15 

Waynoka    

W          k 

Madras 

McMinnville 

1 

OREGON 

Mount  Angel           

any 

Myrtle  Creek          

Amity 

Myrtle  Point     

A  hi     H 

Astoria 

Newport 

North  Bend 

II 

Aums  1  e 

Nyssa    

* 

"     " 

an  on 

Ontario    

ea  e   on 

1 

jj              

Butte  Falls              

Portland  

28 

r 

Canyonville           

Prineville 

Rainier      

Central  Point            

r    h 

r°"  °r 

_       ...   ' 

1 

CI 

II 

b 

_            _ 

Sandy 

C   1 

n  n 

2 
90 
6 

7 

10 
18 

5 
6 

2 

D 

Shady  Cove 

D     d 

Eagle  Point 

Sherwood 

Sisters     

: 

F|  8 

Ganbaldi  " 

Sutherhn     

G    t  ii 

Talent 

The  Dalles         

Trouulale    

Hood  River             

able  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities 

,  October  31,   1986 — Continued 

City 

Total 

police 

employees 

Total 
officers 

Total 
civilians 

City 

Total 
police 

employees 

Total 
officers 

Total 
civilians 

OREGON— Continued 

1 

11 
32 

1 

103 
2 
3 
2 
2 
4 
17 

178 
100 
12 
14 
5 

2 
5 
2 

15 
6 
2 
7 

18 

5 
1 
9 
1 
3 
4 
29 
5 

5 
3 
3 
2 
8 

18 
6 
5 
1 

12 
2 

17 
1 

76 
2 
1 

6 

16 

36 

150 
16 
3 
5 

2 

: 

6 

6 
4 
15 

3 

7 
21 

162 

1 
11 

16 

PENNSYLVANIA— Continued 

8 

13 
3 
21 

18 
16 

2 
3 

14 
80 
3 
6 
7 
12 
5 
9 
1 

3 

26 
21 
2 

3 

8 

2 
8 

15 
3 
15 
29 
16 

5 

11 
9 
3 
8 

1 
1 

1 
27 
12 

86 
104 

7 
2 
5 
10 
9 

7 
7 
2 
12 

! 

2 
1 
16 
24 
2 
4 

7 

4 
8 
3 
21 

14 
15 
10 
2 
3 
13 
64 
3 
6 
6 
7 
5 
8 

2 
3 

25 

17 

3 

5 

10 
1 
2 
8 
13 
3 

14 
28 
11 
.4 
5 
1 
11 
8 
3 
8 
9 
4 

24 
10 

77 
89 
1 
7 
2 

10 
8 
1 
7 
7 
2 

10 
1 

2 

13 
20 
2 

rtllamina     

5 

amhill                                         

PENNSYLVANIA 

Brentwood 

* 

bington  Township 

dams  Township 

. 

Jbion 

Ibui 

liquippa 

llegheny  Township  (Blair  County) 

Jlegheny  Township  (Westmoreland  County) 

Brookhaven 

16 
19 
1 

4 

mbler 

nnville  Towmhin 

Butler  Township  (Luzerne  County) 

Butler  Township  (Schuylkil  County) 
Caernarvon  Township  (Berks  County) 

Caernarvon  Township  (Lancaster  County) 

California      

Cain  Township 

shley 

3 

1 
2 

1 

Cambridge  Springs      

valon 

vis 

voca 

6 

3 
3 

iden 

Carnegie    

uTy 

ith 

Cecil  Township 

Center  Township  

Centerville 

Centra]  City 

lie  Acres                P 

Chalfont 

Charleroi  

Uwood 

11 

1 
5 
4 
25 

1 

3 

Chester  Hill 

rwick 

Churchill 

ssemer 

Clarks 

Clearfield      

Clifton  Heights          

Coalport 

Coal  Township 

Coatesville 

awnox 

oomsburg  Town 

ossburg  

Collegeville 

291 


Table  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1986 — Continued 


Total 
police 

cmpl<nc<.-s 


PENNSYLVANIA— Continued 

Collier  Township 

Collingdale.. 

Columbia 

Colwyn 

Conemaugh  Township 

Conewago  Township 

Conewango  Township 

Confluence 

Connellsville 

Conoy  Township 

Conshohocken    

Conyngham 

Convngh.im    I  ownship 

Conway 

Coolbaugh  Township 

Coopersburg 

Coplay 

Coraopohs 

Cornwall 

Coudersport 

Covington  Township 

Cowanshannock  Township 

Crafton 

Cranberry  Township 

Crescent  Township 

Cressona 

Cresson  Township 

Croyle  Township 

Cumberland  Township  (Adams  County) 

Cumberland  Township  (Green  County) 

Cumru  Township 

Curwensville 

Dallas 

Dallas  Township 

Dalton      

Danville 

Darby 

Darby  Township 

Daugherty  Township 

Dawson 

Delaware  Water  Gap 

Derry  Township  (Dauphin  County) 
Derry  Township  (Mifflin  County) 
Dickson  City 

Dillsburg 

Donegal  Township 
Donora 

Dormont 

Douglass  Township  (Berks  County) 

Douglass  Township  (Montgomery  County) 

Downingtown 

Doylestown 

Doylestown  Township 

Du  Bois 

Duboistown 

Dunbar 

Duncannon 

Duncansville 

Dun  more 

Dupont 

Duquesne  

Duryea 

East  Berlin 

East   Bethlehem  Township 

East  Brandywine  Township 

East  Buffalo  Township 

East  Conemaugh 

East  Deer  Township 

East  Earl  Township 

East  Franklin  Township 

East  Hempfield  Township  


PENNSYLVANIA— Continued 

EasI   Lampeter  Township 

East   Lansdowne   

East   McKeesport 

East  Nornton  Township 

East  Pennsboro  Township 

East  Pikeland  Township 

East  Rochester 

East  Rockhill  Township 

East  Stroudsburg 

East  Taylor  Township 

Easttown  Township 

East  Washington 

East  Whiteland  Township 

Ebensburg 

Economy 

Eddystone 

Edgewood 

Edgeworth 

Edinboro 

Edwardsville 

Elizabeth 

Elizabeth  town 

Elizabeth  Township 

Ehzabethville 

Elkland 

Ellwood  City 


Emporium 

Emsworth 

Ephrata 

hphr.ii. i  Township 

Erie 


Everett 

Everson 

Exeter 

Exeter  Township  (Berks  County) 

Exeter  Township  (Luzerne  County) 

Fairchance 

Fairview  Township 

Fallowfield  Township 

Falls  Creek 

Falls  Township 

Farrell 

Fawn  Township 

Fayette  City 

Ferguson  Township 

Ferndale 

Findlay  Township 

Fleetwood 

Folcroft 

Ford  City 

Forest  City 

Forest  Hills 

Forks  Township 

Forty  Fort 

Forward  Township 

Foster  Township 


II. I 


Fox  Chapel 

Frackville 

Franconta  Township 

Franklin  (Cambria  County) 

Franklin  (Venango  County) 

Franklin  Park 

Franklin  Township 

Freedom-Greenfield  Township 

Freeland 

Freemansburg 

Galeton 

Galhtzin 

Gallitzin  Township 


292 


fable  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1986 — Continued 

T°lal  Total  Total       | 

P°,hce  officers        civilians  Clty  P0,h< 

employees  employees 


PKNNSYLVANIA— Continued 


I'KNNS^  l\  AM  A— Continued 


Kittanning 

ine  Township 

ulpmont 
Kutztown 
Lake  City 
Lake  Township 
Lancaster 
Lansdale 
Lansdowne 
Lansford 
Larksville 
Latrobe 
Laureldale 
Lawrence  Park  Township 

rence  Township 
Lebanon 
Leechburg 
Leetsdale 
Leet  Township 

Lehigh  Township 

nan  Township 
Lemoyne 
Lewisburg 
Lewi  st  own 

Ligonier  Township 
Lilly 

Limenck  Township 
sville 

Littlestown 

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  Paxton  Township 

Lower  Pottsgrove  Township 
Lower  Providence  Township 
Lower  Salford  Township 
Lower  Saucon  Township 
Lower  Southampton 
Lower  Swatara  Township 
Lower  Yoder  Township 

Luzerne  Township 

Mahanoy  City 

Mahoning  Township  (Carbon  County) 

Mahoning  Township  (Montour  County) 

Maivern 

Manheim 

Manor 

Manor  Township 

Mansfield 

:us  Hook 
Marietta 

Marlborough  Township 
Marple  Township 

Martinsburg    

Marysville 

Mason  town 

Matamoras 

Mayfield 

McAdoo 

McCandless 


Table  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1986 — Continued 

Total 
police 


PENNSYLVANIA— Continued 

McConnellsburg 

McDonald 

McKeesport  

McKees  Rocks 

McSherrystown 

Meadville 

Mechanicsburg 

Mechanicsville 

Media 

Menallen  Township 

Mercersburg 

Meyersdale 

Middlesex  Township  (Butler  County) 
Middlesex  Township  (Cumberland  County) 

Middletown  

Middletown  Township  

Midland 
M.fllin 

Mifftinburg  

Mifflintown 

Milford 

Millbourne 

Millcreek  Township 

Millersburg 

Millersville 

Millvale 

Millville 

Milton 

Minersville 

Mohnton 

Monaca 

Monessen 

Monongahela 

Monroeville 

Montgomery  Township  

Montoursville 
Montour  Township 
Montrose 
Moon  Township 
Moore  Township 
Moosic 

Morrisville  

Morton 

Moscow  

Mountaintop  Regional 

Mount  Carmel 

Mount  Carmel  Township 

Mount  Holly  Springs 

Mount  Jewett  

Mount  Joy  

Mount  Joy  Township 
Mount  Lebanon 

Mount  Oliver  

Mount  Penn  

Mount  Pleasant  

Mount  Pocono  

Mount  Union 

Muhlenberg  Township 

Muncy 

Munhall 

Murrysville 

Myerstown  

Nanticoke  .  

Nanty  Glo 
Narberth 
Nazareth  Area 

Nescopeck  

Neshannock  Township 

Nesquchonmg 

Nether  Providence  Township 

Neville  Township 

Newberry  Township 

New  Bethlehem 

New  Brighton 


PENNSYLVANIA— Continued 

New  Britain 

Britain  Township 

Castle 
New  Castle  Township 
New  Cumberland 

Eagle 

Freedom 
New  Hanover  Township 
New  Holland 

New  Hope 

New  Kensington       

New  Oxford 

Newport 

Newport  Township 

New  Sewickley  Township 

Newton  Township 

Newtown 

Newtown  Township 

Newville 

Wilmington 

thampton 
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 

Township 
Ohioville 
Oil  City 
Old  Forge 

Old  Lycoming   Township 
Oley  Township 
Olyphant 

ange  Township 
Orwigsburg 
Osceola  Mills 
Oxford 
Palmerton 

ler  Township 

Parkside 
Patterson 
Patton 

Paxtang  

Pen  Argyl 
Penbrook 

i  Hills 

Penn  Township  (Butler  County) 
Penn  Township  (Lancaster  County) 
Penn  Township  (Westmoreland  County) 
Penn  Township  (York  County) 


able  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1986 — Continued 


Total 

police 

employees 


Total 
police 

employees 


PENNSYLVANIA— Continued 


'equea  Township 

'erryopolis 
'eters  Township 
'hiladelphia 

'hilipsburg 

'hoenixville 

'ine  Creek  Township 

ine  Grove 

ine  Township 


ittsburgh 


lainfield 

lains  Township 

leasant  Hills      

lum 

lumstead  Township 
lymouth 

lymouth  Township 
ocono  Township 

oint  Manon    

oint  Township       

ortage 

ort  Allegany 

ort  Carbon  

ort  Vue 

ottstown    

bttsville 

rospect  Park 

Unxsutawney  

ymatuning  Township 

taakertown  

.adnoi  Township 

.alpho  Township 

.edstone  Township 

;eserve  Township 

.eynoldsville      

ichland 

ichland  Township  (Allegheny  County) 
ichland  Township  (Cambna  County) 
idgway 

idley  Park        

idley  Township  

iverside 

.oaring  Brook  Township   

oaring  Spnng 

.obeson  Township  

.obesonia-  Heidelberg 

.obinson  Township  

.ochester 

.ochester  Township 
.ockledge 
.osslyn  Farms 

.oss  Township  

.ostraver 

.oulette  Township      

.oyalton  

.oyersford 
.ye  Township 

aegertown  

aim  Clair 

aint  Clair  Township 

aint  Marys 

alisbury  Township     

altsburg 
andy  Lake 

andy  Township  

axonburg 


PENNSYLVANIA— Continued 

Schuylkill  Township 

Scottdale 

Scott  Township  (Allegheny  County) 

Scott  Township  (Columbia  County) 

Scott  Township  (Lackawanna  County) 

Scranton 

Sellersville 

Sewickley    .   . 
Sewickley  Heights 
Shaler  Township 

Shamokin 

Shamokin  Dam 

Sharon 

Sharon  Hill... 

Sharpsburg 

Sharpsville 

Sheffield  Township 

Shenandoah 

Shenango  Township  (Lawrence  County) 

Shenango  Township  (Mercer  County) 

Shewsbury 

Shickshinny 

Shillington 

Shinglehouse 

Shippensburg 

Shiremanstown 

Silver  Spring  Township 

Sinking  Spring 

Slatington 

Slippery  Rock 

Smethport 

Smithfield .... 

Smith  Township 

Snow  Shoe 

Snyder  Township 
Solebury  Township 
Somerset 

Souderton 

South  Abmgton    Township 

South  Beaver  Township 

South  Centre  Township 

South  Coatesville 

South  Connellsville 

South  Fayette  Township 

South  Fork 

South  Greensburg 

South  Lebanon  Township 

South  Londonderry  Township 

Southmont 

South  Park  Township 

South  Strabane  Township 

South  Waverly 
Southwest  Greensburg 

South  Whitehall  Township 

South  Williamsport 

Spangler 

Spring  City 

Springdale 

Springettsbury  Township  

Springfield  Township  (Bucks  County) 
Springfield  Township  (Delaware  County) 
Springfield  Township  (Montgomery  Count 

Spring  Garden  Township 

Spnng  Township  (Berks  County) 

Spring  Township  (Centre  County) 

State  College 
Steelton 

Stoneboro  

Stoneycreek  Township 

Stowe  Township 
Stroudsburg 

Stroud  Township 

Sugarcreek       

Sugarloaf  Township 


295 


Table  77. —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1986 — Continued 


Total 

police 

employees 


PENNSYLVANIA— Continued 


Township 
Summit  Hill 

Susquehanna  

Susquehanna  Township  (Cambria  County) 
Susquehanna  Township  (Dauphin  County) 
Swarthmore 

Swatara  Township  

Swissvale 

Swoyersville 

Sykesville 

Tamaqua 

Tarentum 

Taylor 

Telford 

Temple 

Terre  Hill 

Thornbury  Township 

Throop 

Tidioute 

Tinicum  Township  (Bucks  County) 

Tinicum  Township  (Delaware  County) 

Titusville 

Tobyhanna  Township 

Topton 

Towamencin  Township 

Towanda 

Trafford  

Trainer 

Tredyffnn  Township 

Troy     

Tullytown 

Tunkhannock  

Tunkhannock  Township 

Turtle  Creek 

Tyrone 

Union  City 

Uniontown 

Union  Township  (Mifflin  County) 

Union  Township  (Washington  County) 


Upper  Allen  Township 

Upper  Chichester  Township 

Upper  Darby  Township 

Upper  Dublin  Township 

Upper  Gwynedd  Township 

Upper  Makefield  Township 

Upper  Merion  Township 

Upper  Moreland  Township   

Upper  Mount  Bethel  Township 

Upper  Nazareth  Township 

Upper  Perkiomen 

Upper  Pottsgrove  Township  

Upper  Providence  Township  (Delaware  County) 
Upper  Providence  Township  (Montgomery 

County) 

Upper  Saint  Clair  Township 

Upper  Saucon  Township 

Upper  Southhampton  Township 

Upper  Uwchlan  Township 

Upper  Yoder  Township 

Uwchlan  Township 

Valley  Township 

Vandergrift 

Vanport  Township  

Verona 

Versailles 

Vintondale...  .  

Walnutport  ....  .  

Warminster  Township  

Warren 

Warrington  Township 

Warwick  Township  (Bucks  County) 
Warwick  Township  (Lancaster  County) 

Washington.  

Washington  Township  (Fayette  County) 


PENNSYLVANIA— Continued 

Washington  Township  (Franklin  County) 
Washington  Township  (Northampton  County) 

Watsontown  

Waynesboro 

Waynesburg 

Weatherly 

Wellsboro 

Werners\ille 

Wesleyville 

West  Brandywine  Township   

West  Chester 

West  Conshohocken  

West  Deer  Township  

West  Donegal  Township  

West  Earl  Township  

West  Fairview 

Westfall  Township  

Westfield 

West  Goshen  Township 

West  Grove 

West  Hazleton  

West  Hempfield  Township 

West  Hills  Regional 

West  Homestead  

West  Lampeter  Township         

West  Lawn  

West  Manchester  Township      

West  Manheim  Township        

West  Middlesex 

West  Mifflin 

West  Newton 

West  Nornton  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 

Wilkinsburg 

Wilkins  Township 

Williamsburg 

Williamsport 

Williamstown  

Willistown  Township 

Wilson 

Windber    

Wind  Gap 

Windsor  Township 

Womelsdorf 

Wormleysburg    

Wrightsville 

Wrighttown  Township 

Wyoming  

Wyomissing  

Wyomissing  Hills 

Yardley  

Yeadon  

York 

York  Springs  -  Latimore 

York  Township 


rable  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities 

,  October  31,  1986 — Continued 

City 

Total 
police 

Total 
officers 

Total 
civilians 

City 

Total 
employees 

Total 
officers 

Total 
civilians 

PENNSYLVANIA— Continued 

foungsville 

2 
6 

29 
39 
19 
36 
16 
53 

163 
49 
33 

113 
10 
8 
12 
13 
61 
34 
8 
35 
34 
99 
3 
53 
62 
20 

170 
26 

479 
18 
39 
56 
26 
19 

208 
35 
7 
50 

108 

17 
78 
il 
79 

6 
10 

13 
38 
18 
27 
2 
15 
9 
7 
6 
27 
45 
4 
330 
25 

19 
7 
25 
27 
11 

2 
6 

22 

32 

15 

34 

12 

45 

138 

43 

30 

91 

7 

5 

8 

11 

49 

31 

7 

33 

28 

79 

3 

43 

48 

15 

143 

24 

396 

15 

32 

41 

18 

17 

168 

31 

44 

13 
65 

59 
10 
3 
6 
7 
10 

30 
14 
21 

2 

5 
6 
6 
27 
34 

236 
20 

17 
6 

20 

25 
8 

7 
7 

8 

6 

3 
22 
3 
3 
4 
2 
12 
3 

2 

20 

10 
14 

5 
27 

2 
83 

3 

7 
15 

8 

2 
40 

4 

6 
10 

13 
20 

3 

8 
6 

SOUTH  CAROLINA— Continued 

Columbia 

274 
36 

4 
30 

9 
20 
27 

9 

8 
3 

85 
13 
25 
15 
16 
29 

39 
30 
3 
8 
180 
52 
37 
9 
22 
10 
33 

6 
9 

14 
5 
9 

14 
5 
3 
8 
9 
3 
9 

19 

21 
5 

39 
7 
10 
24 
5 
8 
9 
11 
3 
13 
24 
21 
2 
7 
6 
16 
52 
18 
97 
24 

10 
43 
166 
59 
41 
3 
12 

210 
26 

4 
22 

7 
15 
21 

6 

4 
2 
5 
69 
9 
18 
10 
11 
21 
1 
31 
22 
2 

148 
40 
31 
8 
17 
6 
26 
1 
5 
6 
10 
5 
9 

3 

6 
3 

5 
13 
16 

3 

31 
7 
6 

23 
5 
8 
6 

3 

12 
18 
16 
2 
5 

12 
39 
14 
91 
20 

6 

36 
119 
45 
32 
3 
9 

64 
10 

RHODE  ISLAND 

8 

2 

larrington 

Easlcv             

Edgefield 

Elloree 

Estill 

Cumberland     

Florence 

16 

"oster 

Fori  Mill 

jlocester 

tarragansett    

Newport     

forth  Kingstown 

Honea  Path 

outh  Kingstown 

Warwick 

4 
6 

SOUTH  CAROLINA 

Kingstree 

11 

Lakeview 

2 

iken 

8 

Landrum 

Laurens 

1 



Leesvtlle 

, 

Lexington 

amwell 
atesburg 
eaufon 

, 

6 

ethune 

McBee 
McColl 

2 

Moncks  Comer 

amd^n     *  % 

Mount  Pleasant 

13 

11 

94 
5 

2 
1 
5 
2 
3 

4 

Myrtle  Beach            

6 

4 

New  Ellenton 

hesnee 

North  Charleston  

47 

Orangeburg 

9 

^ 

Pacolet 

Pageland                                       

3 

Table  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1986 — Continued 


Total 
police 

rmplnvivs 


SOUTH  CAROLINA— Continued 


Port  Royal 

Prosperity 

Ridgeland 

Ridge  Springs 

Ridgeway 

Rock  Hill 

Saint  George 

Saint  Matthews 

Saint  Stephens 

Salem 

Saluda 

Santee 

Seneca 

Simpsonville 

South  Congaree 

Spartanburg 

Springdale 

Sullivans  Island 

Summerton 


Sumter 

Surfside  Beach 

Swansea    

Tega  Cay 

Timmonsville 

Travelers  Rest 

Turbevillc 

Union 

Varnville 

Wagener 

Walhalla 

Walterboro 

Ware  Shoals 

West  Columbia 

Westminster 

Whitmire 

Williamston 

Williston 

Winnsboro 

Woodruff 

York.. 


SOUTH  DAKOTA 


Aberdeen 

Belle  Fourcl 

Brookings 

Chamberlain 

Deadwood 

Fort  Pierre 

Huron 

Lead 

Madison 

Milbank 

Mitchell 

Mobridge 

Pierre 

Rapid  City 

Redfield 

Sioux  Falls 

Spearfish 

Sturgis 

Vermillion 

Watertown 

Yankton 


Adamsville 

Alcoa 

Ardmore  ... 


TENNESSEE 


TENNESSEE— Continued 


Brentwood 

Bristol 

Brownsville 

Bruceton 

Camden 

Carthage 

Centerville 

Chattanooga 

Church  Hill 

Clarksville 

Cleveland 

Collegedale 

Collierville 

Collinwood 

Columbia 

Cookeville 

Cowan 

Crossville 

Cumberland  Gap 

Dandndge 

Dayton 

Decherd 

Dresden 

Dyer 

Dyersburg 

East  Ridge 

Elkton 
Englewood 
Estill  Springs 
Fairview 
Fayetteville 
Franklin      . 
Friendsville 
Gallatin 

Gatlmburg 

Germantown 

Gleason 

Goodlettsville 

Grand  Junction 

Greeneville 

Halls 

Harriman 

Hartsville 

Hendersonville 

Hohenwald 

Humboldt 

Huntland  . 

Huntingdon 

Jackson 

Jasper 

Jefferson  City  . 


Jelhco 
Johnson  City 

Jonesboro 

Kenton 

Kimball 

Kingsport  

Knoxville 

Lafayette  

La  Follette 
Lake  City 
La  Vergne 
Lawrenceburg 

Lexington 

Livingslon    

Lookout  Mountain 

Loretto    

Martin       

Maryville 


able  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1986 — Continued 

Tf '      I  Total      I      Total      II 

P°'ce  officers       civilians                                         °»                                         ?°  * 

mployees  employees 


TENNESSEE— Continued 


TEXAS— Continued 


Amanllo 
Andrews 
Angleton 


Arlington 

Atlanta 

Austin 

Azle 

fialch  Spnngs 

Balcones  Heights 

Ballinger 

Bastrop 

City 
Bay  town 
Beaumont 
Bedford 
Beeville 
Bellaire 
Bellmead 
Bellville 
Belton 
Benbrook 
Berryville 
Bertram 
Beverly  Hills 
Big  Sandy 

Spring 
Bishop 
Blanco 


Bonham 

Brady 
Brazoria 
Brecken  ridge 
Brenham 
Bridge  City 
Bridgeport 
Brookshire 
Brownfield 
/nsville 
■nwood 


jrleson 

Caldwell 

Cameron 

Canadian 

Caney  City 

Canton 

Canyon 

Carmine 

izo  Spnngs 
Carrollton 
Carthage 
Castle  Hills 
Cedar  Hill 
Cedar  Park 
Center 
Childress 

Clarksville 

Cleburne 

Cleveland 

Clifton 

Clute 

Cockrell  Hill 

Coleman 


299 


Table  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,   1986 — Continued 


Total 
police 


Total 


I  I  \  AS— Continued 


TEXAS— Continued 


College  Station 

Colleyville 

Colorado  City 

Columbus 

Comanche 

Combes 

Commerce 

Converse 

Conroe 

Coppell      

Copperas  Cove 
Corinth 
Corpus  Chnsti 

Corsicana 

Crockett 
Crowley 
Crystal  Beach 
Crystal  City 

Daingerfield 

Dalhart 

Dallas 

Dalworthington 

Dayton 

Decatur 

Deer  Park 

De  Kalb 

Del  Rio 

Denison 

Denton 

Denver  City 

DeSoto 

Diboll 
Dickinson 
Dilley 
Dimmitt 


Dumas 

Duncanville 

Eagle  Lake 

Eagle  Pass 

Early 

Eastland 

Edcouch 

Edinburg 

Edna 

El  Campo 

Electra 

Elgin 

El  Lago 

El  Paso 

Elsa 

Everman 
Fairfield 
Falfurnas 
Fanners  Branch 
Farmersville 

Floresville 
Flower  Mound 
Forest  Mill 

Fort  Stockton 
Fort  Worth 
Frankston 
Fredericksburg 
Freeport 

Friendswood 


Fnona 

Gainesville 

Galena  Park 

Galveston 

Garland 

Gatesville 

Georgetown 

Giddings 

Gladewater 

Gorman 
Graham 

Grand  Prairie 
and  Saline 
apevine 

Greenville 

Gregory 

Barrel  City 
Hallettsville 
Haltom  City 
Hamlin 

Harker  Heights 
Harlingen 
Hawkins 
Hearne 

Hedwig  Village 
Hempstead 

Hereford 

Hewitt 

Hico 

Hidalgo 

Highland  Park 

Highland  Village 

Hill  Country 

Hillsboro 

Hitchcock 

Hollywood  Park 

Hondo 

Hooks 

Houston 

Humble 


Hurst 
Hutchins 

Ingleside 
Iowa  Park 

Jacinto  City 
Jacksboro 
Jacksonville 
Jamaica  Beach 

Jefferson 
Jersey  Village 

s  Creek 
Jonestown 

Jourdantown 

Katy 

Kaufman 

Keller 

Kemp 

Kennedale 

Kermit 

Kerrville 

Kilgore 


able  77. —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1986 — Continued 

T°,al      I      Total      I      Total      II 

po,l,ce  officers        civilians  Clty  P0'" 

employees  employees 


TEXAS — Continued 


TEXAS — Continued 


Naples 

Nassau  Bay 

Navasota 

Nederland 
Needville 
New  Boston 
New   Braunfels 

Nolannlle 

Northcrest 

North  Richland  Hil 

Oak  Ridge  North 

Odessa 

Olmos  Park 

Olney 

Olton 

Onalaska 

Orange  Grove 

Ore  City 

Overton 

Oyster  Creek 

Palacios 

Palestine      

Pantego  

Pans 

Pasadena 

Patton  Village 

Pearland 

Pearsall 

Pecos 

Perryton 

Pflugerville 

Pharr 

Pilot  Point 

Pittsburg    

Plainview 

Piano 

Pleasanton 
Port  Aransas 
Port  Arthur 

Port  Isabel  

Portland 

Port  Lavaca 

Port  Neches 
Poteet 
Premont 
Princeton 

Quanah     

Quinlan 
Quitman 

Ransom  Canyon 

Raymondville 
Red  Oak 
Refugio 

Richardson 

Richland  Hills 

Richmond 

Richwood 

River  Oaks 

Robinson 

Robstown 

Rockdale 

Rockport 

Rockwall 

Rollingwood 

Roscoe 
Rose  City 
Rosenberg 
Round  Rock 

Rowlett  


301 


Table  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities, 

October  31,  1986 — Continued 

City 

Total 

police 

employees 

Total 

Total 

City 

Total 

employees 

Total 
officers 

Total 
civilians 

TEXAS— Continued 

6 
8 
2 
11 
20 
167 
1,982 
4 
32 
20 
60 
11 
16 
18 
20 
2 
16 

47 

10 
11 
2 
8 
2 
b 
63 
19 
8 
14 

22 
3 

33 
23 
23 
17 

9 

8 
23 

3 
33 

6 

5 
30 

2 
36 
31 

2 
10 

5 
24 

7 
3 
21 
5 
6 
120 
28 
15 
80 
64 
28 
22 
7 

3 

162 
32 
41 
24 

6 

7 
2 
7 
13 
134 
1,637 

26 
14 
45 
7 
11 
12 
17 
2 

10 
1 

11 
31 
7 

10 
5 
2 
4 
2 
6 
48 
14 
7 
8 
5 
16 
2 
3 

26 
18 
17 
14 

18 
2 

23 
6 

26 
2 

28 

25 
2 
9 
5 

20 

7 
1 
15 
5 
5 
96 
21 
14 
72 
55 
19 
18 
3 
5 
2 
127 
25 
32 
18 

1 

33 
345 

6 

6 
15 

5 
6 
3 

6 

15 

5 

6 
3 
6 
1 

1 

7 
5 
6 
3 
5 
4 
5 
1 
10 

4 
8 

1 

2 

1 

24 

1 
8 

9 
4 

4 
1 

35 
7 

6 

TEXAS — Continued 

5 

21 
119 
26 
28 
227 

5 
11 

4 
30 
39 
38 
26 

4 
45 

12 
14 

8 
13 

7 
27 

6 
16 

14 
9 

28 

160 

6 

14 

17 

2 

7 
18 
19 
13 

5 

3 
19 
2 

37 
33 
15 

25 
6 
9 

3 
3 

5 

2 

7 

5 

3 
10 
36 
10 
41 

3 

3 
25 

2 

17 
79 
18 

24 

5 

3 
24 
31 
27 
21 

2 
34 

4 

8 
13 

13 

21 

14 
7 

10 
5 

21 

110 

5 

8 

12 
6 

6 
13 
13 

3 

3 

16 
2 
4 
29 
26 
14 
8 
18 
5 
8 
5 
3 
3 

2 
3 

5 
5 

2 
3 
9 

29 

34 
3 

19 
2 

1 

4 

Sh 

40 

?lchse 

4 

Saginaw 

66 

San  Ange  o 

San  Antonio 

5 

Wallis 

1 

6 

n 

8 

P    k  V  11 

11 

ansoni     ar            g 

5 

2 

S     h    Z  V 

11 

Seadrift 

Seagoville 

1 

Sealy        

2 

Westover  Hills 

West  Tawakoni 

West  University  Place 

Westworth 

Selma      

3 
6 

Seven  Points 

2 

.     II 

2 

a  owa  er 

2 

p    , 

4 

Sh        d     h 

4 

enan  oa 

7 

50 

„ 

1 

6 

„    . .     .. 

5 

5 

* 

S              11 

_ 

1 

5 

6 

5 

Southside  Place 

2 

UTAH 

SDrins 

Spnng  Valley                          

Ani-n  :an  Fork 

3 

Beaver 

Blanding 

Bountiful    .    

Bngham  City 
Cedar  City 

S  1  h      S 

Clinton 
Delta 

Sweenv 

F    t  C    b 

. 

II 

H            II 

TemDle 

2 

H   1 

.. 

„ 

K       b 

K     s    lie 

. 

( 

1    h 

Logan 

Tye          

M      1 

1 

Milford 

Uvalde 

fable  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,   1986 — Continued 


Total 
police 

cmplintvs 


Total 

police 

employees 


UTAH— Continued 


Monticello 

Mount  Pleasant 
Murray 

Naples      

Nephi 

North  Ogden 
North  Salt  Lake 
Ogden         

Park  City 

Parowan      

Payson 
Pleasant  Grove 

Pleasant  View 

Price 

Provo       

Richfield 

Riverdale 

Roosevelt  

Roy 

Saint  George 

Salem        

Salina 

Salt  Lake  City 

Sandy 

Santaquin  City 

South  Jordan 

South  Ogden 

South  Salt  Lake 

Spanish  Fork 

Springville 

Sunset     

Syracuse    

Tooele 

Tremonton 

Vernal        

Washington 

Washington  Terrace 

Wendover 

West  Bountiful 

West  Jordan 

West  Valley 

Woods  Cross 


Barre 

Bellows  Falls 

Brandon 

Brattleboro 

Burlington 

Chester 

Colchester 

Fair  Haven 

Hartford 

Manchester 

Milton 

Montpelier 

Morristown 

Newport 

Northfield 

Norwich 

Randolph 

Richmond 

Saint  Albans 

Saint  Johnsbury 

Springfield 

Vergennes 

Waterbury 

Weathersfield 


VERMONT— Continued 


Abingdon 

Alexandria 

Altavista 

Amherst 

Appalachia 
Appomattox 
Arlington 

Ashland 

Bedford 

Berryville 

Big  Stone  Gap 

Blacksburg 

Blackstone 

Bluefield 

Bowling  Green 

Bridgewater 

Bristol 

Brookneal 

Buchanan 

Buena  V 

Burkeville 

Cape  Charles 

Cedar 

Charlottesville 

Chase  City 

Chatham 

Chesapeake 

Chilhowie 

Chincoteague 

Christiansburg 

Clarksville 

Clifton  Forge 

twood 
Coeburn 
Colonial  Beach 
Colonial  Height: 
Courtland 
Covington 

Crewe 

Culpeper 

Damascus 

Danville 

Dayton 

Dublin 

Dumfries 

Edinburg 

Elktoi 

Empo 

Fairfax 

Falls  Church 

Farmville 

Franklin 

Fredericksburg 

Fries 

Front  Royal 

Gate  City 

Glade  Spring 

Glen  Lyn 

Gordonsville 

Gretna 

Grundy 

Halifax 


ubuii] 


Herndon 
Hillsvillc 


Table  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,   1986— Continued 


Total 

employees 


VIRGINIA— Continued 


Honaker 

Hopewell 

Hurt 

Independence 

Iron  Gate 

Jonesville 

Kenbridge 

Kilmarnock 

Lawrenceville 

Lebanon 

Leesburg 

Lynchburg 

Manassas 

Manassas  Park 

Marion 

Martinsville 

McKenny 

Middleburg 

Middletown 

Mount  Jackson 

Narrows 

New  Market 
Newport  News 

Norfolk 

Norton    

Onancock 

Onley 

Orange 

Parksley 

Pearisburg 

Pembroke 

Pennington  Gap 

Petersburg 

Pocahontas 

Poquoson 

Portsmouth 

Pound 

Pulaski 

Purcellville 

Quantico 

Radford 

Rich  Creek 

Richlands  .... 

Richmond 

Roanoke 

Rocky  Mount 

Rural  Retreat 

Saint  Paul 

Salem 

Saltville 

Shenandoah 

Smithfield 

South  Boston 

South  Hill 

Staunton 

Stephens  City 

Strasburg 

Suffolk 

Tappahannock 

Tazewell 

Urbanna 

Victoria 

Vienna 

Virginia  Beach 

Warrenton 

Warsaw 

Waverly 

Waynesboro 
Weber  City 
Williamsburg 


VIRGINIA— Continued 


WASHINGTON 

Aberdeen 
Algona  . 
Anacortes 
Arlington 
Auburn 
Battle  Ground 
Bellevue 
Rellingham 
Benton  City 
Black  Diamond 

Bonney  Lake 

Bothell  

Bremerton 

Buckley 

Burhnglon 

Castle  Rock 

Centralia 

Chehahs 

Chewelah 

Clarkston 

Cle  Elum 

Clyde  Hill 

College  Place 

Colville 

Colville  Tribal 

Connell     .... 

Cosmopohs 

Coulee  Dam 

Dayton 

Des  Moines 

East  Wenatchee 

Eatonville 

Edmonds 

Ellensburg 


Table  77. —  Number  of  Full-time  Law  Enforcement   Employees,  Cities,  October  31,   1986— Continued 


Total 
police 


Total 

employees 


\\  VM  1 1 NGTON— Continued 


\WNI    VIRGINIA 


WEST  VIRGIMA- 


Barboursville 

Bayard  

Beckley 

Belington 

Belle 

Benwood 

Berkeley  Springs 

Bethlehem 

Bluefield 

Bradshaw 

Bramwell 


Buckhannon 

Burnsville 

Camden  on  Gauley 

Cameron 

Cedar  Grove 

Ceredo 

Chapmanville 

Charleston 
Charles  Town 
Chesapeake 
Chester 
Clarksburg 


Delbarton 

East  Bank 
Eleanor 

Elkins 

Fairmont 

Fairview 

Farmington 

Fayetteville 

Follansbee 

Fort  Gay 

Franklin 

Gassaway 

Gauley  Bndj 

Gilbert 

Glasgow 

Glen  Dale 

Glenville 

Grafton 


Handley 
Harpers  Ferry-1 


Hundred 
Huntington 


Keyser 

Keystone 
Kimball    ... 
Kingwood 

Lester 

Lewisburg 

Lumberport 

Mabscott 

Madison 

Man 

Mannington 


Table  77.  —  Number  of  Full-time  Law  Enforcemen 

Employees,  Cities 

October  31,  1986— Continued 

City 

Total 
employees 

Total 
officers 

Total 

City 

Total 

police 

employees 

Total 

Total 
civilians 

WEST  VIRGINIA— Continued 

WEST  VIRGINIA— Continued 

Marlinton                                   

2 

1 

1 

Wheeling 

89 

81 

8 

4 

4 

Whitesville 

4 

4 

Marmel 

Marlinsburg                   

32 

26 

6 

White  Sulphur  Spnngs 

6 

6 

Mason          

5 

3 

2 

Williamson 

14 

9 

5 

Masontown 

1 

1 

Williamstown 

6 

5 

1 

Matewan 

3 

3 

Maloaka  

2 

1 

1 

WISCONSIN 

McMechen  

4 

4 

Middlebourne 

1 

1 

Adams 

3 

3 

Milton  

4 

3 

1 

Algoma 

4 

4 

Monongah 

! 

1 

Altoona 

8 

7 

1 

Montgomery 

16 

11 

5 

Appleton 

118 

87 

31 

Moorefield 

4 

4 

Ashland 

19 

18 

1 

Morgantown 

59 

48 

11 

Ashwaubenon 

32 

28 

4 

Moundsville 

21 

18 

3 

Baraboo 

19 

18 

1 

Mount  Hope                               

Mullens    

4 

15 

14 

1 

7 

7 

Beaver  Dam 

34 

30 

4 

2 

2 

80 

62 

18 

New  Martinsville  

15 

10 

5 

Beloit  Town 

10 

9 

1 

Nitro 

9 

9 

Berlin 

15 

12 

3 

Northfork                 

4 

4 

Black  River  Falls 

8 

8 

Nutter  Fort 

6 

6 

Bloomer 

s 

7 

1 

Oak  Hill 

12 

7 

5 

Brillion 

5 

5 

Oceana    

4 

4 

Brodhead 

10 

6 

4 

Paden  City               

B 

4 

4 

Brookfield 

71 

57 

14 

Parkersburg 

74 

60 

14 

Brown  Deer                         

31 

24 

7 

2 

22 

Paw  Paw 

1 

1 

Burlington  Town 

5 

5 

Pax 

1 

1 

R  tl 

9 

8 

1 

j 

1 

C  1  d 

23 

18 

5 

Petersburg 

5 

4 

1 

Cedarburg 

24 

8 

Philippi        

6 

6 

Chenequa 

7 

7 

Piedmont                 

3 

3 

Chilton 

6 

6 

Pine  Grove 

1 

1 

Chippewa  Falls 

35 

25 

10 

Pineville    

4 

Clintonville 

12 

11 

1 

1 

1 

4 

4 

Point  Pleasant 

10 

9 

1 

Crandon 

3 

2 

1 

Pratt    

1 

1 

Cuba  City 

3 

3 

Princeton    

23 

18 

5 

Cudahy 

36 

34 

2 

Rainelle 

3 

3 

Darlington 

4 

4 

Ranson 

Ravenswood  

6 

6 

De  Forest 
Delafield 

4 

11 

7 

4 

9 

8 

1 

Richwood                

9 

5 

4 

Delavan 

17 

16 

1 

Ridgeley    

1 

1 

Delavan  Town                                    

7 

7 

Ripley 

8 

7 

1 

De  Pere 

30 

25 

5 

Romney 

3 

3 

Dodgeville 

7 

7 

2 

2 

Durand 
East  Troy 

3 

Saint  Albans 

26 

7 

8 

6 

2 

Saint  Marys     

Salem  

7 

3 

7 

1 

5 
5 

5 

■' 

Eau  Claire 

9 

85 
8 

26 

Shepherdstown       

Shinnston 

1 

5 

5 

Elm  Grove  . 

20 

16 

4 

Sistersville              

4 

4 

Elroy 

2 

2 

Smithers 

3 

3 

Evansville 

8 

5 

3 

Sophia    

4 

4 

Fitchburg 

23 

17 

6 

South  Charleston 

29 

23 

6 

Fond  du  Lac 

72 

62 

10 

Spencer  

Star  City 

Stonewood 

11 

7 

Fort  Atkinson 

20 

15 

5 

6 

6 

Fox  Point 

22 

17 

5 

2 
8 
4 

2 

8 

26 

45 

20 
35 
18 

6 

Summersville                                              

Glendale 

10 

Sutton 

Grafton 

6 

Terra  Alta           

2 

2 

Green  Bay 

200 

162 

38 

Valley  Grove    

1 

1 

Greendale       

31 

25 

6 

Vienna 

20 

13 

7 

Greenfield 

64 

48 

16 

War                                          

3 

3 

Hales  Corners 

17 

14 

3 

Wardensville            

1 

1 

Hallie  Town 

5 

5 

Wayne 

1 

1 

Hartfoid 

20 

15 

5 

Webster  Spnngs   

i 

4 

Hartland 

11 

10 

1 

Wetrton                                  

47 

41 

6 

Holmen 

5 

5 

Welch 

13 

9 

4 

Honcon 

6 

5 

1 

Wellsburg                                               

8 

7 

1 

Hudson 

13 

11 

2 

West  Milford            

1 

1 

Janesville 

94 

72 

22 

Weston 

14 

10 

Jefferson 

12 

11 

1 

Westover 

10 

4 

Kaukauna 

20 

19 

1 

West  Union           

1 

Table  77.  —  Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1986— Continued 


Total 
employees 


Total 

employe* 


WISCONSIN— Continued 


WISCONSIN— Continued 


SlK'tnAgun 

Shorewood 
Shorewood  Hills 
South  Milwaukee 

ens  Point 
Stoughton 
Sturgeon  Bay 
Sturtevant 
Summit 
Thiensville 
Tomah 
Tomahawk 
Twin  Lakes 

Viroqua       

Washburn 
Waterloo 
Watertown 

Waukesha   

Waunakee  

Waupaca 
Waupun 
Wausau 
Wauwalosa 
West  Alhs 
West  Bend 
West  Milwaukee 
Weston 
West  Salem 
Whitefish  Bay 
Whitewater 
Wisconsin  Dells 
Wisconsin  Rapids 

WYOMING 

Afton  

Baggs 

Basin  

Buffalo 

Casper 

Cheyenne 

Cody 

Cokeville 

Diamondville 

Douglas 

Encampment 

Evanston 

Evansville 

Gillette 

Glenrock 

Green  River 

Greybull     

Guernsey 

Jackson 

Kemmcrer 

Laramie 
Lovell 

Lusk 

Medicine  Bow 

Mills 
Moorcroft 

Newcastle 

Pine  Bluffs 
Pinedale 
Powell 
Rawlins 

Riverton 

Rock  Springs 


Table  77. —  Number  of  Full-time  Law  Enforcement  Employees,  Cities 

October  31,  1986— Continued 

City 

Total 
police 

Total 

Total 
civilians 

City 

Total 
police 

employees 

Total 
officers 

Total 
civilians 

WYOMING— Continued 

9 

42 
5 
5 

27 

5 
15 

3 

WYOMING— Continued 

Thermopolis 

Tornngton  

Upton 

Wheatland 

Worland 

14 
21 
3 
11 
13 

g 

14 
3 
9 

11 

6 

<5h      H 

7 

Shoshoni 

Sundance                  

2 
2 

fable  78.  —  Number  of  Full-time  Law  Enforcement  Employees,  Universities  and  Colleges,  October  31,  1986 


University/College 


Total 
police 

employees 


Total 

police 

employees 


ALABAMA 

Auburn  University: 

Main  Campus    

Montgomery 
Jacksonville  State  University 

Troy  State  University 

University  of  Alabama,  Tuscaloosa 
University  of  Montevallo 

ARIZONA 

Arizona  State  University 

Arizona  Western  College 

Northern  Arizona  University 

Pima  Community  College 

University  of  Arizona 

Yavapai  College 

ARKANSAS 


University  of  Arkansas: 

Fayetteville 

Little  Rock 

Medical  Science 


CALIFORNIA 


Cabrillo  CoUege 

California  State  College: 

Bakersfield 

San  Bernardino 

Stanislaus 

California  State  Polytechnic  Universit 

Pomona  

San  Luis  Obispo 

California  State  University: 

Chico 

Dominguez  Hills 

Fresno 

Fullerton 

Hayward 

Long  Beach 

Los  Angeles 

Northridge 

Sacramento 

College  of  Marin 

College  of  the  Sequoias 

Contra  Costa  Community  College    ..  . 
Foothill-Deanza  District  Community 

Humboldt  State  University 

Merced  College 

San  Diego  State  University 

San  Francisco  State  University 

San  Jose  State  University 

San  Jose  City  College 

Sonoma  State  University 

University  of  California: 

Berkeley 

Davis 

Lawrence  Berkeley  Laboratory 
Lawrence  Livermore  Laboratory 

Los  Angeles 

Riverside 

San  Diego 
San  Francisco 

Santa  Barbara 

Santa  Cruz  

West  Valley  College 


COLORADO 

Adams  State  College 

Arapahoe  Community  College 
Auraria  Higher  Education  Center 


COLORADO— Continued 

Colorado  State  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 
University  of  Central  Florida 
University  of  Florida. 
University  of  North  Florida 
University  of  South  Florida: 

Saint  Petersburg 

Sarasota  

University  of  West  Florida 

GEORGIA 

Albany  Ctate  College 

Augusta  College 

Columbus  College 

Georgia  Institute  of  Technology 

Georgia  Southern  College 

Georgia  Southwestern  College 

Kennesaw  College      

Savannah  State  College 
Southern  Technical  Institute 

University  of  Georgia 

Valdosta  State  College 

West  Georgia  College 

ILLINOIS 

Black  Hawk  College 

Chicago  State  University 

College  of  DuPage 

College  of  Lake  County 

Eastern  Illinois  University 

Governors  State  University 

Illinois  State  University 

John  A.  Logan  College 

Joliet  Junior  College 

Morton  College 

Northeastern  Illinois  University 
Northern  Illinois  University 
Rock  Valley  College 

Sangamon  State  University 

Southern  Illinois  University: 

Carbondale 

Edwardsville    

State  Community  College 

Thornton  Community  College 
Triton  College 
University  of  Illinois: 

Chicago 


309 


Table  78.  —  Number  of  Full-time  Law  Enforcement  Employees,  Universities  and  Colleges,  October  31,   1986 — Continued 


University  College 


Total 

mployees 


ILLINOIS— Continued 

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 

Emporia  State  University 

Fort  Hays  State  University 

Kansas  State  University,  Manhattan 

Pittsburg  State  University 

University  of  Kansas 
Wichita  State  University 

KENTUCKY 

Eastern  Kentucky  University 

Morehead  State  University 

Murray  State  University 

Northern  Kentucky  University 
University  of  Kentucky 
University  of  Louisville 
Western  Kentucky  University 

LOUISIANA 

Louisiana  State  University: 

Baton  Rouge 


Louisiana  Tech,  University 
McNeese  State  University 
Northeast  Louisiana  University 
Southeastern  Louisiana  I'niversir 


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 
University  of  Maryland: 

Baltimore  City 

Baltimore  County 

College  Park 

Eastern  Shore 


MASSACHUSETTS— Continued 

Framingham  State  College 

Massachusetts  Institute  of  Technology 

North  Adams  State  College 

Northeastern  University 

Tufts  University 

University  of  Massachusetts: 

Amherst .... 

Harbor  Campus- Boston 
Wentworth  Institute  of  Technology 

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 

Western  Michigan  L'niversity    


MASSACHUSETTS 


iity  of  Minnesota 

MISSISSIPPI 


MISSOURI 

University  of  Missouri: 
Columbia 

Saint  Louis 

Washington  L'niversity 

MONTANA 

Montana  State  University 

NEBRASKA 

University  of  Nebraska.  Lincoln 


University  of  Nevada,  Reno 

NEW  HAMPSHIRE 

University  of  New  Hampshire 

NEW  JERSEY 

Brookdale  Community  College 

Burlington  County  College 

Essex  County  College 
Glassboro  State  College 

Kean  College 

Middlesex  County  College 

Monmouth  County  College 

Montclair  State  College 
Rutgers  University: 
Camden 


fable  78.  —  Number  of  Full-time  Law  Enforcement  Employees,  Universities  and  Colleges,  October  31,   1986 — Continued 


University/College 


Total 


Unmisity/College 


Total 
police 

employees 


NEW  JERSEY— Continued 

New  Brunswick 
Stockton  State  College 
rrenton  State  College 
University  of  Medicine  and  Dentistry: 

Camden 

Newark 

Piscataway 
William  Paterson  College 

NEW  MEXICO 

Eastern  New  Mexico  University 
■■Jew  Mexico  State  University 

University  of  New  Mexico 

Western  New  Mexico  University 


NEW  YORK 

Cornell  University 

Ithaca  College 

Rensselaer  Polytechnic  Institute 

State  University  of  New  York: 

Albany 

Amherst 

Binghamton 

Downstate  Medical  Center 

Maritime  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 

Buffalo 

Cortland 

Environmental  Science  and  Forestr 

Fredonia       

Geneseo 

New  Paltz 

Old  Westbury 

Oneonta 

Optometry 

Oswego     

Pittsburgh 

Potsdam 

Purchase 

Utica-Rome 


NORTH  CAROLINA 

Appalachian  State  University 

last  Carolina  University 

*Jorth  Carolina  State  University,  Raleigh 

University  of  North  Carolina: 

Asheville 

Chapel  Hill 

Charlotte 

Wilmington 
Western  Carolina  University 

NORTH  DAKOTA 

University  of  North  Dakota 


OHIO 

Bowling  Green  University 
Cleveland  State  University 
Cuyahoga  Community  College 

Kent  State  University 

Lakeland  Community  College 

Miami  University  

Ohio  State  University 

University  of  Akron 

University  of  Cincinnati 

University  of  Toledo 

Youngstown  State  University 

OKLAHOMA 

Central  State  University 
Northeastern  Oklahoma  State  Un 
Oklahoma  State  University- 
Putnam  City  Campus 
Tulsa  Junior  College 
University  of  Oklahoma: 

Norman 

Health  Science  Center 


Oregon  State  University 

PENNSYLVANIA 

Bloomsburg  University 
California  University  . 
Cheyney  University 

Clarion  University 

East  Stroudsburg  University  ... 
Edinboro  University  ..... 
Elizabethtown  College 


I,,!: 


Un 


;ity 


Kutztown  University 
Lehigh  University 
Lincoln  Universit) 
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 
Winthrop  College 

TENNESSEE 

Austin  Peay  State  University 

East  Tennessee  State  University 


Table  78. Number  of  Full-time  Law  Enforcement  Employees,  Universities  and  Colleges,  October  31,  1986 — Continued 


University/College 


Total 
employees 


University/College 


Total 
employees 


TENNESSEE— Continued 

Middle  Tennessee  State  University 
University  of 

Martin 

Memphis 


TEXAS 

Angelo  State  University 

Baylor  University 

Eastfield  College 

East  Texas  State  University 

Lamar  University 

McLennan  Community  College 

Midwestern  State  University 

North  Hams  County  College 

North  Texas  State  University 

Pan  American  University 

Richland  College 

Southern  Methodist  University 

South  Plains  College 

Southwestern  University 
Southwest  Texas  State  Universit 
Stephen  F.  Austin  State  Univer: 

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  Cente 

Texas  Woman's  University 

University  of  Houston: 

Central  Campus 

Clear  Lake 

Downtown  Campus 
University  of  Texas: 

Arlington 

Dallas 

El  Paso 

Galveston    ................. 

Health  Science  Center,  San  A 
Houston . 

Permian  Basin     

San  Antonio 

University  of  Texas  Southwest 
Medical  School 


Brigham  Young  University 
University  of  Utah 


UTAH— Continued 


Utah  State  University 
Utah  Technical  College: 

Salt  Lake 
Weber  State  College 


VIRGINIA 


Christopher  Newport  College 
College  of  William  and  Mary 
George  Mason  University 
James  Madison  University 
Longwood  College 
Mary  Washington  College 
Old  Dominion  University 

3rd  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 

Bluefield  State  College 

Concord  College 

Glenville  State  College 

Marshall  University 

Potomac  State  College 

West  Liberty  State  College 

West  Virginia  Institute  of  Technology 

West  Virginia  State  College 

West  Virginia  University 

WISCONSIN 


University  of  Wisconsin: 
Eau  Claire 
Green  Bay 
Madison 
Milwaukee 
Oshkosh 
Parkside 
Whitewater 


iity  of  Wyoming 


rable  79. —  Number 

of  Full-time  Law 

Enforcement  Employees,  Suburban  Counties,  October  31,   1986 

County  by  state 

Total 
employees 

Total 
officers 

Total 
civilians 

County  by  state 

Total 

employees 

Total 

Total 

County  by  state 

Total 

police 

employees 

Total 
officers 

Total 
civilians 

ALABAMA 

COLORADO 

GEORGIA— Continued 

Autauga 

18 

18 

Adams 

287 

212 

75 

Lee                     

9 

7 

2 

Baldwin 

84 

31 

53 

Boulder 

185 

121 

64 

Madison 

14 

S 

6 

Blount 

19 

15 

4 

Douglas 

67 

47 

20 

Muscogee 

149 

86 

63 

Calhoun 

46 

27 

19 

El  Paso 

283 

198 

85 

Newton 

41 

26 

15 

Colbert 

31 

19 

12 

Jefferson 

400 

299 

101 

Paulding 

34 

26 

8 

Dale 

17 

11 

6 

Larimer 

177 

117 

60 

Peach 

18 

13 

5 

Elmore 

22 

13 

9 

Pueblo 

198 

163 

35 

Richmond 

250 

245 

5 

Etowah 

44 

22 

22 

Weld 

141 

113 

28 

Rockdale 

82 

68 

14 

Houston 

87 

30 

57 

Spalding 

64 

55 

9 

Jefferson 

474 

363 

111 

DELAWARE 

Walker 

49 

44 

5 

^auderdale 

37 

22 

15 

Walton 

41 

33 

8 

Madison 

80 

58 

22 

New  Castle  Police 

Mobile 

225 

195 

30 

Department 

207 

184 

23 

IDAHO 

Montgomery  

150 

135 

15 

Russell 

29 

15 

14 

FLORIDA 

Ada    

193 

115 

78 

Shelby 

60 

16 

Saint  Clair 

22 
96 
33 

15 
65 
31 

7 
31 
2 

Bay 

Bradford 

233 
125 
21 

165 
96 
8 

68 
29 
13 

ILLINOIS 

Boone 

33 

16 

Tuscaloosa 
Walker 

17 

Brevard 

430 

163 

267 

Champaign 

54 

47 

7 

ARIZONA 

Broward 

2,052 

563 

1,489 

Clinton 

17 

15 

2 

Clay            

156 

95 

61 

Cook 

558 

490 

68 

Maricopa 

1,511 

390 

1,121 

Collier 

457 

213 

244 

Du  Page 

315 

264 

51 

Pima 

813 

325 

488 

Dade                  

3.113 

2,243 

870 

Grundy 

34 

22 

12 

Escambia 

373 

247 

126 

Henry 

34 

31 

3 

ARKANSAS 

Gadsden 

44 

17 

27 

Jersey 

12 

12 

Hernando 

181 

82 

99 

Kane 

123 

86 

37 

Crawford 

21 

8 

13 

Hillsborough 

1,559 

634 

925 

Kankakee 

91 

42 

49 

Crittenden 

35 

18 

17 

Lee 

432 

222 

210 

Kendall 

31 

18 

13 

Faulkner 

19 

9 

10 

Leon 

260 

194 

6t, 

Lake 

255 

203 

52 

fefferson      

49 

35 

14 

Manatee 

386 

200 

186 

Macon    

76 

46 

30 

18 
20 

9 

17 

9 

3 

Marion 

Martin 

330 

222 

133 
119 

197 
103 

Madison 

McHenry 

107 
90 

69 
66 

38 

Miller 

24 

Pulaski 

236 
32 

215 
20 

21 
12 

Nassau 
Okaloosa 

71 
150 

39 
100 

32 
50 

McLean 

Menard 

83 
10 

38 
7 

45 

Saline 

3 

Sebastian 

44 

19 

25 

Orange 

1,627 

576 

1,051 

Monroe 

17 

7 

10 

Washington 

45 

41 

4 

Osceola 

190 

87 

103 

Peoria 

160 

60 

100 

Palm  Beach 

1,267 

567 

700 

Rock  Island 

48 

CALIFORNIA 

Pasco 

443 

238 

205 

Sangamon 

152 

71 

81 

Pinellas 

1,268 

457 

Saint  Clair 

110 

93 

17 

Alameda 

1,067 

689 

378 

Polk 

630 

287 

343 

Tazewell 

33 

30 

3 

74 

46 

28 

Saint  Johns 

143 

93 

50 

Will 

228 

172 

56 

Contra  Costa         

639 

475 

164 

Saint  Lucie 

273 

109 

164 

Winnebago 

177 

106 

71 

El  Dorado 

176 

117 

59 

Santa  Rosa 

95 

55 

40 

Woodford 

22 

15 

7 

451 

270 

181 

Sarasota 

446 

196 

250 

Kern 

828 

554 

274 

Seminole 

352 

153 

199 

INDIANA 

Los  Angeles 

6,899 

4,591 

2,308 

Volusia 

329 

212 

117 

Mann 

192 

132 

60 

Allen 

187 

122 

65 

Merced 

90 

74 

16 

GEORGIA 

Boone 

18 

11 

7 

Monterey 

341 

259 

82 

De  Kalb 

26 

15 

11 

Napa 

91 

57 

34 

Barrow 

21 

21 

Elkhart 

92 

77 

15 

Drange 

1,859 

1,121 

738 

Butts 

20 

14 

6 

Hamilton 

58 

40 

18 

Placer 

233 

158 

75 

Catoosa 

45 

43 

2 

Harrison 

20 

7 

13 

Riverside 

996 

553 

443 

Chatham  Police 

Howard 

56 

31 

25 

Sacramento    

1,211 

879 

332 

Department 

133 

107 

26 

Johnson  

44 

32 

12 

San  Bernardino 

1,248 

902 

346 

Chatham 

58 

52 

6 

Lake  

316 

183 

133 

San  Diego  

San  Joaquin   

San  Mateo 

1,642 

1,075 

567 

3 

2 

Manon       

657 

478 

179 

460 

364 

96 

Cherokee 

65 

55 

10 

53 

53 

433 

345 

Clarke  Police 

Porter 

88 

63 

25 

Santa  Barbara 

336 

228 

108 

Department 

68 

60 

8 

Saint  Joseph 

155 

115 

40 

Santa  Clara 

1,064 

786 

278 

Clarke 

69 

66 

3 

Tippecanoe 

66 

30 

36 

Santa  Cruz 

215 

107 

108 

Clayton  Police 

Tipton 

15 

6 

9 

Shasta 

220 

146 

74 

Department 

167 

150 

17 

Vanderburgh 

120 

99 

21 

Solano          

244 

86 

158 

Cobb 

213 

176 

37 

Sonoma          

259 

188 

71 

Cobb  Police 

IOWA 

Stanislaus 

302 

129 

173 

Department 

395 

307 

88 

101 

78 

23 

Coweta 

48 

40 

Black  Hawk 

24 
1 

Tulare 

375 

305 

70 

De  Kalb 

240 

188 

52 

11 

10 

Ventura 

825 

522 

303 

Dougherty 
Effingham 

53 

50 

3 

Dallas 
Dubuque 
Johnson 
Linn 

9 

Yolo 

130 

98 

32 

27 

9 

40 

34 

Yuba 

84 

63 

21 

Forsyth 

40 

25 

15 

51 

117 

35 
85 

16 
32 

Fulton  Police 

Department 

207 

170 

37 

Polk 

161 

124 

37 

Gwinnett 

81 

74 

7 

Polt.m.iHamie 

50 

28 

22 

313 


Table  79.  —  Number  of  Full-time  Law  Enforcement  Employees,  Suburban  Counties,  October  31,  1986— Continued 


Total 
employees 


Total 

police 

employees 

Total 

Total 

officers 

civilians 

12 

8 

4 

38 

30 

8 

18 

17 

1 

8 

1 

7 

24 

24 

621 

476 

145 

1,604 

1,453 

151 

48 

44 

4 

24 

22 

2 

23 

21 

2 

23 

21 

2 

123 

106 

17 

46 

39 

7 

182 

182 

265 

209 

56 

24 

20 

4 

74 

71 

3 

979 

790 

189 

185 

142 

43 

1,256 

939 

317 

10 

10 

102 

39 

63 

90 

38 

52 

144 

115 

29 

67 

55 

12 

31 

19 

12 

94 

66 

28 

206 

97 

109 

160 

136 

24 

102 

70 

32 

146 

137 

9 

314 

258 

56 

49 

42 

7 

80 

63 

17 

287 

152 

135 

53 

36 

17 

124 

85 

39 

90 

70 

20 

472 

309 

163 

98 

92 

6 

116 

87 

29 

87 

72 

15 

214 

120 

94 

668 

456 

212 

123 

59 

64 

15 

9 

6 

52 

34 

18 

38 

22 

16 

29 

13 

16 

77 

50 

27 

419 

272 

147 

27 

10 

17 

58 

39 

19 

257 

215 

42 

153 

92 

61 

60 

30 

30 

30 

16 

14 

60 

34 

26 

94 

69 

25 

56 

52 

4 

County  by  state 


Total 

Total 

employees 

officers 

139 

139 

105 

96 

80 

80 

65 

53 

59 

56 

32 

24 

11 

10 

96 

69 

47 

46 

90 

90 

59 

53 

21 

21 

43 

33 

14 

5 

725 

518 

133 

93 

51 

37 

64 

36 

16 

5 

133 

94 

68 

51 

85 
13 

62 

5 

247 

195 

99 

72 

123 

50 

108 

87 

281 

247 

166 

82 

83 

34 

210 

174 

171 

123 

365 

272 

112 

91 

23 

10 

127 

110 

28 

8 

116 

110 

368 

262 

424 

377 

176 

124 

62 

38 

161 

127 

69 

54 

209 

125 

22 

14 

27 

16 

86 

54 

96 

77 

179 

133 

174 

101 

193 

79 

195 

176 

204 

152 

IOWA— Continued 

Scott 

Warren 

Woodbury 


Butler 

Douglas     . 

Jefferson 

Johnson  

Leavenworth 

Miami 

Sedgwick- 
Shawnee 

Wyandotte 

KENTUCKY 

Boone  Police 

Department 

Boone 

Bourbon 

Boyd 

Bullitt 

Bullitt  Police 

Department 

Campbell  Police 

Department 

Carter 

Christian  Police 

Department 

Christian 

Clark 

Daviess 

Greenup 

Henderson 

Jefferson  Police 

Department 

Jessamine 

Kenton  Police 

Department 

Oldham  Police 

Department 

Oldham 

Scott 

Scott  Police  Department 

Shelby    

Woodford 

Woodford  Police 

Department 

LOUISIANA 

Ascension 

Bossier 

Caddo 

Calcasieu 

East  Baton  Rouge 

Jefferson 

Lafayette 

Lafourche 

Livingston 

Ouachita 

Rapides 

Saint  Charles 

Saint  John  The  Baptist 

Saint  Martin 

Saint  Tammany 

Terrebonne 

West  Baton  Rouge 


MISSISSIPPI 


MARYLAND 

Allegany 

Allegany  Investigator 
Anne  Arundel 
Anne  Arundel  Police 

Department 
Baltimore  Police 

Department 

Baltimore 

Calvert 

Carroll 

Cecil 

Charles 

Frederick  

Harford      

Howard  Police 

Department 

Howard      

Montgomery 

Montgomery  Police 

Prince  Georges 

Prince  Georges  Police 

Department 

Queen  Annes 
Washington 

MICHIGAN 

Bay 

Calhoun 

Clinton 

Genesee 

Ingham 

Jackson 

Kalamazoo 

Kent 

Lapeer 

Livingston 

Macomb 

Midland 

Monroe 

Muskegon 

Oakland 

Ottawa 

Saginaw 

Saint  Clair 

Washtenaw 

Wayne 

MINNESOTA 

Benton 

Chisago   

Clay 

Dakota 

Hennepin 

Olmsted  

Ramsey 
Saint  Louis 

Scott 

Sherburne 

Steams 

Washington 
Wnght 


Harrison 
Hinds 


MISSOURI 

Buchanan 

Cass 

Christian 

Clay 

Franklin 

Jasper 

Lafayette 

Platte 

Ray 

Saint  Louis  Police 

Department 
Saint  Charles 


Dakota 

Douglas 

Lancaster 

Sarpy 

Washington 


NEW  JERSEY 

Atlantic 

Atlantic  Prosecutor 
Bergen  Police 

Department 

Bergen 

Bergen  Prosecutor 

Burlington  Prosecutor 

Burlington 

Camden  Prosecutor 

Camden  

Cape  May 

Cape  May  Prosecutor 

Cumberland 

Cumberland  Prosecutor 
Essex  Police 

Department 

Essex  Prosecutor 

Essex  

Gloucester 

Gloucester  Prosecutor 

Hudson 

Hudson  Police 

Department 

Hudson  Prosecutor 

Hunterdon 

Hunterdon  Prosecutor 
Mercer  Prosecutor 

Middlesex 

Middlesex  Prosecutor 
Monmouth  Prosecutor 
Monmouth 


314 


fable  79.  —  Number  of  Full-time  Law  Enforcement  Employees,  Suburban  Counties,  October  31,  1986 — Continued 


Total 

police 

employees 

officers 

civilians 

120 

71 

49 

116 

72 

44 

67 

41 

26 

356 

303 

53 

128 

91 

37 

52 

44 

8 

16 

9 

7 

110 

79 

31 

71 

46 

25 

29 

20 

9 

18 

12 

6 

134 

113 

21 

180 
13 

105 
11 

75 
2 

30 

16 

14 

249 

158 

91 

82 

47 

35 

37 

25 

12 

96 

73 

23 

61 

46 

15 

39 

32 

7 

6 

3 

3 

36 

29 

7 

18 

13 

5 

299 

231 

68 

124 

109 

15 

88 

74 

14 

68 

50 

18 

58 

56 

2 

60 

49 

11 

61 

51 

10 

65 

33 

32 

74 

49 

25 

3.056 

2,582 

474 

37 

35 

2 

58 

54 

4 

23 

18 

5 

267 

238 

29 

79 

61 

18 

19 

12 

7 

151 

146 

5 

50 

36 

14 

80 

80 

84 

82 

2 

237 

190 

47 

92 

64 

28 

26 

19 

7 

116 

89 

27 

173 

168 

5 

26 

12 

14 

90 

81 

9 

247 

222 

25 

35 

33 

2 

159 

128 

31 

146 

114 

32 

91 

62 

29 

70 

62 

8 

64 

53 

11 

78 

63 

15 

32 

26 

6 

County  by  state 


Total 

police 

employees 


NORTH  CAROLINA— 


Union 
Wake 
Yadkin 


NORTH  DAKOTA 

Burleigh 

Cass 

Grand  Forks  

Morton 

OHIO 

Allen   

Auglaize 

Belmont 

Clark 

Clermont   

Delaware  

Fairfield 

Franklin        

Fulton 

Geauga      

Hamilton 
Lake 

Lawrence  

Licking  

Lucas 

Madison     

Mahoning  

Miami 

Montgomery 

Pickaway  

Portage 

Richland       

Stark 

Trumbull  

Washington 

Wood 

OKLAHOMA 

Canadian 

Cleveland 

Comanche   

Creek 

Garfield 

Logan         

McClain 
Oklahoma 

Pottawatomie 

Rogers         

Sequoyah       

Tulsa 

Wagoner        

OREGON 


Clackamas 
Jackson 

Marion 
Multnomah 
Polk 
Washington 


PENNSYLVANIA 

Allegheny  Police 

Department 

Allegheny 

Beaver 

Centre 

Chester  Detective 

Cumberland 

Delaware  Criminal 

Investigative  Division 
Montgomery  Detective 

Washington 

Westmoreland  Detective 


SOUTH  CAROLINA 

Aiken 

Anderson 

Berkeley 

Charleston  Police 

Department  

Dorchester    

Florence 

Greenville        

Lexington 

Richland         

Spartanburg    

York 

SOUTH  DAKOTA 


18 

Anderson 

24 

Grainger  

21 

Knox 

Madison  

Marion 

Montgomery 

Robertson  

Rutherford  

14 

Sevier 

20 

Sullivan 

6 

Williamson 

Bexar 

Bowie 

Brazos 

Brazona 

Cameron 

Collin 

Dallas 
Denton 

Ector 

El  Paso 

Ellis 

Fort  Bend 
Galveston 
Grayson 
Gregg 


Table  79.  —  Number  of  Full-time  Law  Enforcement  Employees,  Suburban  Counties,  October  31,  1986 — Continued 


TEXAS— Continued 

Guadalupe 

Hardin 

Harrison 

Hays 
Hidalgo 

Jefferson 

Johnson  

Kaufman 

Liberty   

Lubbock 
McLennan 

Midland  

Montgomery 

Nueces 

Orange 
Parker 

Potter 

Randall 

Rockwall 

San  Patricio 

Smith    

Tarrant 

Taylor 

Tom  Green 

Travis 

Victoria 

Waller 

Webb 

Wichita 

Williamson    


Salt  Lake 
Utah  .... 
Weber 


Albemarle  Police 

Department 
Amherst 
Botetourt 
Campbell 
Charles  City 
Chesterfield  Police 

Dinwiddle 
Fairfax  Police 
Department 
Fluvanna 
Gloucester 
Goochland 

Hanover 
Hennco  Police 

Department 
James  City  Police 

Department 
Loudoun 
New  Kent 
Pittsylvania 
Powhatan 
Pnnce  William  Pol 

Prince  George 

Roanoke 

Scott 

Stafford 

Washington 

York    


WASHINGTON 

Clark 

Franklin 

King 

Kitsap 

Pierce 

Snohomish 


WASHINGTON- 


Spokane 

Thurston  

Whatcom 

WEST  VIRGINIA 

Brooke 

Cabell 

Hancock 

Kanawha 
Marshall 

Mineral        

Ohio 

Putnam     

Wayne 

Wood  

WISCONSIN 

Calumet 

Chippewa 

Dane 

Douglas 

Kenosha 

La  Crosse 

Milwaukee 

Ozaukee      

Racine 

Rock 

Sheboygan 

Saint  Croix 

Washington 

Waukesha 

Winnebago    

WYOMING 


316 


rable  80.  —  Number  of  Full-time  Law- 

Enforcement  Employees,  Rural  Counties,  October  31, 

1986 

County  by  state 

Total 
employees 

Total 
officers 

Total 
civilians 

County  by  state 

Total 
employees 

Total 
officers 

Total 

County  by  state 

Total 
police 

employee-, 

Total 
officers 

Total 
civilians 

ALABAMA 

ARKANSAS— 
Continued 

CALIFORNIA— 

Continued 

larbour 

13 

8 

5 

Butler 

6 

5 

1 

Craighead 

23 

17 

6 

Sierra 

14 

10 

4 

Chambers 

21 

12 

9 

Cross 

24 

14 

10 

Siskiyou 

63 

41 

22 

Cherokee 

11 

7 

4 

Dallas 

9 

4 

5 

Tehama 

62 

44 

18 

20 

10 

10 

11 

5 

Tuolumne 

30 

22 

8 
21 

'"hoctaw 

6 

10 

Drew 

10 

6 

Clarke 

14 

9 

5 

Franklin 

13 

5 

8 

Cleburne 

5 

4 

6 

3 

3 

COLORADO 

Coffee 

8 

11 

Garland 

53 

20 

33 

9 

5 

4 

11 

5 

Alamosa 

29 

26 

3 

Covington 

17 

9 

8 

17 

10 

7 

Archulela 

14 

9 

5 

11 

5 

6 

Hempstead 

17 

8 

Baca 

Bent  

Chaffee 

9 

5 
3 

7 

Cullman 

36 

33 

3 

Hot  Spring 

17 

13 

4 

4 

Dallas 

38 

34 

4 

Howard 

12 

5 

7 

17 

10 

De  Kalb 

26 

15 

11 

Independence 

41 

26 

15 

Cheyenne              

9 

9 

scambia 

27 

15 

12 

Izard 

12 

9 

3 

Clear  Creek 

29 

22 

7 

11 

7 

4 

Jackson 

18 

11 

7 

Conejos 

12 

10 

-ranklin 

17 

9 

8 

Johnson 

13 

6 

7 

Costilla 

5 

4 

jeneva 

13 

6 

7 

7 
11 

Lafayette 
Lawrence 

9 

10 

5 
10 

4 

Custer 

3 
6 

3 
5 

jreene 

1 

^nry 

9 

4 

5 

Lee 

10 

5 

5 

Delta 

37 

26 

11 

ackson 

30 

16 

14 

Lincoln 

9 

9 

Dolores 

6 

3 

3 

-awrence 

22 

20 

2 

Little  River 

10 

5 

5 

Eagle 

Elbert 

49 

43 

6 

_ee 

54 

27 

27 

Logan 

10 

5 

5 

10 

9 

1 

-imestone 

26 

15 

11 

Madison 

12 

6 

6 

Fremont 

32 

32 

-owndes     

13 

4 

9 

Manon 

10 

5 

5 

19 

16 

3 

20 

9 

11 

Mississippi 
Monroe 

36 

24 

12 

Gilpin 

14 

5 

1 

Marengo 

7 

9 

12 

5 

7 

13 

tfanon 

16 

7 

9 

Montgomery 

10 

5 

5 

Hinsdale 

4 

3 

Marshall 

33 

19 

14 

Nevada 

8 

3 

5 

Huerfano  

9 

8 

19 

7 

12 

6 

3 

3 

Jackson 

5 

5 

Morgan 
'erry 

54 

31 

23 

Perry 

10 

5 

5 

Kiowa 
Kit  Carson 

2 
9 

9 

4 

Phillips 

10 

8 

2 

10 

1 

'ickens 

10 

5 

5 

Pike 

8 

8 

Lake 

15 

8 

7 

'ike 

10 

7 

3 

Poinsett   

16 

8 

8 

Las  Animas 

16 

16 

Randolph 

12 

6 

6 

Polk 

10 

5 

5 

8 

8 

umter              

14 

4 

10 

Pope 

39 

20 

19 

Logan 

18 

17 

1 

lalladega 

45 

20 

25 

Prairie 

11 

9 

2 

Mesa 

110 

57 

53 

'allapoosa     

22 

14 

8 

Randolph 

9 

7 

2 

Mineral 

3 

1 

Wilcox 

11 

6 

5 

Saint  Francis 

18 

9 

9 

Moffat 

27 

26 

1 

Vinston          

15 

9 

6 

Scott 

10 

4 

6 

Montezuma 

28 

24 

4 

Searcy 

10 

4 

6 

Montrose 

29 

27 

2 

ARIZONA 

Sevier   .. 

" 

6 

5 

I 

Ouray™:  7 

36 
3 

36 
3 

29 

19 

10 

5 

Park ' 

11 

8 

Cochise 

114 

57 

57 

Union 

29 

23 

6 

Phillips 

3 

3 

Coconino    

106 

79 

27 

Van  Buren 

11 

5 

6 

Pitkin 

31 

28 

3 

jila 

107 

68 

39 

White 

28 

15 

13 

Prowers 

11 

7 

4 

jraham 

17 

13 

4 

Woodruff 

11 

11 

Rio  Blanco 

19 

13 

6 

jreenlee 

21 

12 

9 

Yell 

15 

6 

9 

Routt.. 

32 

23 

9 

^apaz 

37 

29 

8 

Saguache 

11 

7 

4 

tfohave 

71 

50 

21 

CALIFORNIA 

San  Juan 

3 

2 

1 

"Javajo 

64 

38 

26 

San  Miguel 

8 

8 

>inal 

194 

114 

80 

Alpine 

10 

8 

2 

Sedgwick                

6 

6 

anta  Cruz 

35 

20 

15 

Amador 

46 

30 

16 

Summit              

38 

35 

3 

favapai 

119 

61 

58 

Calaveras 

59 

35 

24 

Teller 

25 

12 

13 

Colusa 

34 

27 

7 

Washington 

8 

4 

4 

ARKANSAS 

Del  Norte 
Glenn 

36 
30 

27 
25 

9 

5 

Yuma        

7 

4 

3 

Arkansas 

8 

8 

Humboldt 

134 

77 

57 

FLORIDA 

Vshley 

19 

8 

11 

Imperial 

191 

107 

84 

Jaxter 

21 

14 

7 

Inyo 

48 

38 

10 

Baker 

32 

16 

16 

jenton 

33 

33 

Kings 

90 

67 

23 

Calhoun 

14 

7 

7 

loone 

15 

8 

7 

Lake 

94 

56 

38 

Charlotte 

170 

93 

77 

Iradley 

5 

4 

2 

35 

23 

12 

Citrus                  

147 

101 

46 

Calhoun 

6 

3 

3 

Madera 

63 

47 

16 

Columbia 

79 

42 

37 

Carroll 

18 

9 

9 

Mariposa 

23 

22 

1 

De  Soto 

58 

42 

16 

Chicot 

12 

6 

6 

Mendocino 

97 

76 

21 

Dixie 

23 

13 

10 

Clark                  

22 

9 

13 

Modoc 

18 

13 

5 

Flagler  . 

45 

28 

17 

Clay 

10 

4 

6 

Mono 

24 

22 

2 

Franklin 

32 

18 

14 

21 

10 

11 

Nevada 

96 

73 

23 

Gilchrist 

19 

9 

10 

Cleveland 

7 

7 

50 

34 

16 

Glades  .... 

30 

14 

16 

Columbia 

17 

10 

7 

San  Benito 

37 

19 

18 

Gulf 

15 

12 

3 

13 

9 

4 

San  Luis  Obispo 

160 

108 

52 

Hamilton 

42 

35 

7 

"°nway              

Table  80.  —  Number  of  Full-time  Law  Enforcement  Employees,  Rural  Counties,  October  31,  1986 — Continued 


Total 

employ  vs 


Total 
police 

einpl<<U'L 


Long 

Lowndes 

Manon 

Mcintosh 

Meriwether 

Miller 

Mitchell 

Morgan 

Murray 


Pierce 
Pike 

Polk  Polio 
Pulaski 

Quitman 

Rabun 

Schley  .... 

Seminole 

Stephens 

Stewart 

Talbott 

Taylor 
Thomas 
Toombs ... 
Treutlen 
Turner 
Twiggs  .  . 
Union      . 

Ware 


Whitfield 
Wilkes 
Wilkinson 
Worth 


Hawaii  Police 
Department 

Kauai  Police 
Department 

Maui  Police 


Bear  Lake 

Benewah 

Bingham 

Bonner 

Bonneville 
Boundary 
Butte 

Camas 

Canyon 

Caribou.. 
Cassia  ..  . 

Clark 

Clearwater 

Custer 

Elmore 


IDAHO — Continued 

Franklin 
Fremont 

Gooding 

Jefferson 
Jerome 

Kootenai 
Latah 

Madison 

Minidoka      

Nez  Perce 

Oneida 

Owyhee 
Payette 

Shoshone 

Teton 

Twin  Falls 

Valley 

Washington 


Bureau 

Calhoun 

Carroll 

Cass 

Christian 

Clark 

Clay 

Coles 

Crawford 

Cumberland 

De  Kalb 

De  Witt 

Edgar 

Edwards 

Effingham 

Fayette 

Ford 

Franklin 


Gallati 


Hamilton 
Hancock 
Hardin 
Henderson 

Jackson 

Jefferson 

Jo  Daviess 

Johnson 

Knox 

La  Salle 

Lawrence 

Lee 

Livingston 

Logan 

Macoupin 

Marion 

Marshall 

Mason 

Massac. 

McDonough 


Table  80.  —  Number  of  Full-time  Law  Enforcement  Employees,  Rural  Counties,  October  31,   1986 — Continued 

Total 
police 

llipl,.\,rs 


IOWA— Continued 


IOWA— Continued 


Buchanan 

Buena  Vista 

Butler 

Calhoun 

Carroll 

Cass 

Cedar 

Cerro  Gordo 

Cherokee 

Chickasaw 

Clarke 

Clav 

Clayton 

Clinton 

Crawford 

Davis 

Decatur 

Delaware 

Des  Moines 

Dickinson 

Fayette 
Floyd 

Fremont 

Grundy 

Guthne 

Hamilton 

Hancock 

Hardin 

Harrison 

Howard 

Humboldt 

Ida 

Jackson 
Jasper 
Jefferson 

Jones 

Keokuk 
Kossuth 
Lee 

Lucas 

Madison 
Mahaska 
Manon  ...     . 
Marshall 
Mills 
Mitchell 
Monona 
Monroe- 
Montgomery 
Muscatine 
O'Brien 
Osceola 
Page 

Palo  Alto 
Plymouth 
Pocahontas 
Poweshiek 
Ringgold 
Sac 
Shelby 

Story 

Taylor 

Van  Buren 
Wapello 


Washington 

Wayne 

Webster 

Winnebago 

Winneshiek 

Worth 

Wright 


Allen 

Anderson 

Atchison 

Barton 

Bourbon 

Brown 

Chase 

Chautauqua 

Cheyenne 

Clark 

Clay 

Cloud 

Coffey    . 

Comanche 

Cowley 

Crawford 

Decatur 

Dickinson 

Doniphan 

Edwards 

Elk 

Ellis 

Ellsworth 

Ford 
Franklin 

Gove 

Greenwood 

Hamilton 

Harper 

Haskell 
Hodgeman 
Jackson 
Jewell 

Kingman 

Kiowa 

Labette 

Linn 

Lyon 

Marion 
Marshall 
McPherson 

Mitchell 

Montgomery 

Morns 

Morton 

Nemaha 

Neosho 

Ness 

Norton 

Osage 

Osborne 


319 


Table  80.  —  Number  of  Full-time  Law  Enforcement  Employees,  Rural  Counties,  October  31, 

1986 — Continued 

County  by  state 

Total 

police 

employees 

Total 
officers 

Total 
civilians 

County  by  state 

Total 

police 

employees 

Total 

Total 

civilians 

County  by  state 

Total 
employees 

Total 
officers 

Total 

civilians 

KANSAS — Continued 

KENTUCKY— 
Continued 

LOUISIANA— 
Continued 

Ottawa 

9 

5 

4 

Phillips 

4 

Pratt 

Kn  ll 

Evangeline       

Grant          

Republic 

8 

4 

Knox 

6 

3 

3 

31 

19 

12 

Rice 

12 

6 

6 

Larue 

4 

3 

1 

Iberia 

98 

98 

Riley  Police 

Laurel 

9 

9 

Iverville 

134 

46 

81 

Department 

10 

7 

3 

Lawrence 

2 

2 

Jackson  

29 

29 

Rooks 

6 

3 

3 

Lee 

2 

2 

La  Salle 

31 

20 

1 

Rush  

8 

3 

5 

Leslie 

4 

2 

2 

Lincoln 

29 

27 

2 

Saline 

40 

40 

Lewis 

5 

5 

Morehouse 

36 

31 

5 

Scott 

3 

3 

Lincoln 

5 

5 

Natchitoches 

50 

46 

Seward 
Sheridan 

Livingston 

Plaquemines 
Red  River 

1 

1 

8 

g 

32 

32 

Sherman 

Smith      

Lyon  Police 

Saint  Mary  

Saint  James     

6 

2 

4 

68 

52 

16 

Department 

Stanton 

Stevens      

10 

5 

5 

Magoffin        

5 

5 

Vermilion 

73 

73 

Sumner 

15 

12 

3 

Marion 

3 

2 

1 

Vernon 

59 

58 

Thomas 

7 

7 

Marshall 

11 

8 

3 

West  Carroll         

15 

15 

Trego 

7 

5 

2 

Martin 

4 

4 

Wabaunsee 

9 

4 

5 

Mason 

8 

8 

Wallace 

1 

1 

McCracken 

20 

20 

Washington 

9 

5 

4 

McCracken  Police 

12 

II 

Wichita 

7 

3 

4 

Department 

1 

1 

10 

9 

1 

Wilson  

16 

6 

10 

McCreary 

4 

4 

15 

10 

5 

Woodson 

8 

8 

McLean 

2 

5 

2 
5 

Kennebec 

12 

8 

KENTUCKY 

Menifee                

Mercer 

4 

4 

Oxford 

18 
15 

10 
11 

8 

Adair 

4 

4 

Metcalfe 

4 

4 

Penobscot! 

24 

17 

1 

. 

j 

Montgomery 

8 

8 

5 

5 

Morgan 

6 

4 

2 

9 

9 

Muhlenberg 

4 

Nelson 

6 

4 

2 

Bell 

8 

8 

Nelson  Police 

York 

23 

13 

10 

Boyle 

7 

7 

Department 

4 

4 

Bracken 

2 

2 

Nicholas  . 

3 

3 

Breathitt 

9 

9 

8 

Breckinridge 

5 

5 

28 

Butler 

3 

3 

4 

' 

29 

29 

Caldwell 

5 

I 

12 

12 

24 

17 

Calloway 

Carlisle 

Carroll 
Casey 

2 
3 
3 

2 
2 
3 

1 

Powell 
Pulaski 

16 

5 

7 

Saint  Mary's 
Somerset 

46 

41 

Clay 
Clinton 

\ 

2 

2 

Robertson 
Rockcastle 

5 

Wicomico 

32 

26 

Crittenden 

2 

2 

Rowan 

° 

* 

Cumberland 

3 
3 

3 
3 

6 

6 

MICHIGAN 

Elliott                

j 

Spencer. 

3 

2 

1 

Alcona 

20 

12 

Fleming 

3 

Todd 

Trigg                      

3 

3 
2 

: 

Alger 
Allegan .. 

83 

4! 

Trimble 

3 

3 

Alpena 

Union 

5 

3 

2 

Antrim  .... 

Warren 

15 

13 

2 

Washington 

3 

3 

Baraga 

Wayne... 

6 

6 

Barry 

1 

Webster 

8 

5 

3 

Benzie 

Grayson 

7 

7 

Whitley 

8 

6 

2 

Branch.. 

38 

14 

Wolfe 

2 

Hancock 

Hardin 

5 

10 

5 
10 

LOUISIANA 

Charlevoix 
Cheboygan 
Chippewa 

23 
19 

15 

16 

Harrison 

Hart 

4 

Acadia 

Assumption 

80 

78 
33 

2 
9 

Clare 

Crawford 

Delta 

Dickinson 

24 

21 

5 

Avoyelles 

50 

20 

10 

K 

Table  80.  —  Number  of  Full-time  Law  Enforcement  Employees,  Rural  Counties,  October  31,   1986 — Continued 


Total 
police 

employees 


Koochiching 
Lac  Qui  Parle 
Lake 
Lake-of-the-  Woods 

Le  Sueur  

Lincoln  

Mahnomen 
Marshall 
Martin 
McLeod 

Mille  Lacs 

Morrison 

Mower 

Nicollet 

Nobles 

Norman 

Otter  Tail 

Pennington 

Pine 

Pipestone 

Polk 

Pope 

Red  Lake 

Redwood 

Renville 

Rice 

Rock 

Roseau 

Sibley 

Stevens 
Swift 

Todd 

Traverse 

Wabasha 
Wadena 

Watonwan 

Wilkin 

Winona 

Yellow  Medicine 

MISSISSIPPI 

Chickasaw 

Claiborne    

Clarke 

Clay 

Franklin 

Holmes 

Issaquena 

Itawamba 

Jefferson  Davis 

Jones 

Lauderdale 
Lawrence 

Marshall 

Montgomery 

Neshuba 
Newton 
Quitman 

Simpson 

Sunflower 

Tate 


Tishomingo 
Walthall 

Washington 
Wayne 
Winston 
Yalobusha 

MISSOURI 

Andrew 
Atchison  ... 
Audrain 

Barton 

Bates 

Benton 

Bollinger 

Caldwell 

Camden 

Cape  Girardeau 

Carroll 

Carter 

Cedar 

Chariton 

Cole 

Crawford 

Dallas 

Daviess 

De  Kalb 

Douglas 

Dunklin 

Gasconade 

Grundy 

Harrison 

Holt 


Linn 

Livingston 

Madison 

Maries 

Marion 

McDonald 

Mercer 

Montgomery 

Nodaway 

Oregon 

Ozark 

Perry 

Pike 

Pulaski 

Randolph 

Reynolds 

Ripley 

Sainte  Genevieve 

Saint  Clair 

Saint  Francois 

Schuyler 

Scotland 

Scott 

Shelby 

Sullivan 

Vernon 

Warren 

Webster 
Worth 


Table  80.  —  Number  of  Full-time  Law 

Enforcement  Employees,  Rural  Counties,  October  31, 

1986 — Continued 

County  by  state 

Total 
employees 

Total 
officers 

Total 

County  by  state 

Total 
police 

emplou-es 

Total 
officers 

Total 
civilians 

County  by  state 

Total 
police 

Total 

Total 

MONTANA 

NEBRASKA— 

Continued 

NEW  MEXICO— 

Continued 

Big  Horn 

33 

17 

16 

Blaine 

15 

6 

9 

Hitchcock 

5 

2 

3 

Roosevelt 

17 

9 

g 

Broadwater 

11 

7 

4 

Holt 

10 

4 

6 

San  Juan 

41 

32 

9 

Carbon 

10 

6 

4 

Jefferson 

9 

5 

4 

Socorro 

14 

10 

4 

Chouteau 

11 

8 

3 

Johnson 

6 

2 

4 

Taos 

18 

10 

g 

Custer 

6 

4 

2 

Kearney 

6 

5 

1 

Torrance 

20 

9 

11 

Daniels 

6 

2 

4 

Keith 

14 

13 

1 

Union 

4 

3 

1 

Dawson 

8 

6 

2 

Keya  Paha 

1 

Valencia 

22 

15 

7 

Deer  Lodge 

21 

15 

6 

Kimball 

3 

4 

Fallon 

3 

2 

1 

Knox 

12 

6 

6 

NEW  YORK 

Fergus 

17 

9 

8 

Lincoln 

42 

23 

19 

Flathead 

64 

36 

28 

Logan 

3 

Cayuga 

30 

19 

11 

Gallatin 

51 

28 

23 

Madison 

18 

11 

7 

Chautauqua 

76 

66 

10 

Granite 

11 

6 

5 

Merrick 

8 

4 

4 

Chenango  

17 

8 

9 

Hill 

17 

8 

9 

Morrill 

6 

2 

Clinton 

4 

Jefferson 

II 

8 

3 

Nance 

8 

5 

3 

Columbia 

36 

32 

4 

Lake 

22 

13 

9 

Nemaha 

7 

3 

4 

Cortland 

30 

25 

5 

Lewis  and  Clark 

43 

24 

19 

Nuckolls 

5 

3 

2 

Delaware 

9 

7 

2 

Liberty 

9 

4 

5 

Otoe 

12 

6 

6 

Fulton 

28 

26 

2 

Lincoln 

34 

21 

13 

Pawnee 

5 

3 

2 

Genesee 

44 

31 

13 

Madison 

11 

7 

4 

Perkins 

8 

4 

4 

Jefferson 

38 

21 

17 

McCone 

7 

2 

21 

20 

Otsego 

18 

12 

5 

3 

2 

Polk 

6 

2 

12 

Missoula 

79 

52 

27 

Richardson 

7 

3 

4 

Saint   Lawrence 

37 

35 

2 

Musselshell 

13 

8 

5 

Saline 

13 

9 

4 

Seneca 

30 

19 

11 

Petroleum 

1 

1 

Saunders 

15 

7 

8 

Steuben 

22 

22 

Phillips 

5 

4 

1 

Scotts  Bluff 

12 

g 

4 

Tompkins 

56 

30 

26 

Pondera 

7 

5 

2 

Seward 

15 

7 

8 

Wyoming 

27 

17 

10 

Powder  River 

7 

3 

4 

Shendan    

13 

3 

10 

Yates 

24 

21 

3 

Ravalli 

27 

14 

13 

Sherman 

Richland 

17 

8 

Stanton 

4 

3 

1 

NORTH  CAROLINA 

Roosevelt 

33 

22 

11 

Thayer          

10 

7 

3 

Rosebud 

34 
12 
5 

20 
7 

14 

5 
1 

Thomas 

Valley 

Wayne 

Webster 

York 

NEVADA 

Churchill       

Elko. 

1 
5 

2 
4 

3 

Alleghany 

6 

17 

5 

Sanders 

4 

Stillwater 

15 
8 

10 
19 

18 
8 

8 

11 
10 

7 

8 
8 

13 

22 

5 

17 
35 

2 
8 

5 

Ashe 

13 
18 
20 

18 
39 

2 

9 

Sweet  Grass 

Beaufort 

8 

Teton 

Bertie 

Toole 

Bladen 

14 

Treasure 

Brunswick 

11 

Valley 

Caldwell 

24 

Wheatland 

Camden 

1 

Wibaux 

2 

3 

Esmeralda 
Humboldt 

12 
26 

g 
19 

4 

7 

Carteret 
Caswell 

29 

18 

9 

10 

NEBRASKA 

Lincoln 

13 

10 

3 

Chatham 

29 

23 

Lyon 

43 

39 

4 

Cherokee 

8 

4 

Adams                

14 

12 

2 

Mineral 

23 

17 

6 

Chowan 

7 

5 

Antelope      

10 

6 

4 

Pershing 

14 

g 

6 

Clay 

6 

4 

Boone 

4 

Storey 

17 

17 

Cleveland 

40 

18 

Box  Butte 

5 

1 

White  Pine    

29 

28 

1 

Columbus 

34 

12 

Brown 

7 

4 

Craven 

40 

34 

Buffalo 

29 

15 

14 

NEW  HAMPSHIRE 

Currituck 

12 

3 

Burt 

7 

3 

Dare 

27 

7 

Cass 

18 

9 

Belknap 

19 

19 

Duplin 

26 

8 

Cedar 

6 

4 

Carroll 

15 

1 1 

4 

Edgecombe 

25 

12 

Chase 

5 

4 

Cheshire  . 

g 

2 

Gates 

4 

Cherry 

11 

6 

Grafton  . 

15 

8 

7 

Graham 

Cheyenne 

10 

5 

Merrimack 

18 

12 

6 

Granville 

17 

2 

Clay 

2 

Sullivan 

7 

5 

2 

Greene 

15 

Colfax 

9 

6 

Halifax 

26 

21 

Cuming 

4 

1 

NEW  MEXICO 

Harnett 

41 

Custer 

6 

1 

Haywood 

37 

Dawes 

13 

10 

Catron 

7 

3 

4 

Henderson 

46 

1C 

Dawson 

24 

12 

12 

Cibola 

4 

Hertford 

11 

12 

Deuel 
Dixon 
Dodge                  

2 
5 

27 

,5 

2 
12 

Colfax 

14 

7 

7 
9 

7 
3 

Hoke 
Hyde 

Iredell 

22 
7 

55 

1 

Dundy                

Franklin 
Gage 

Hall 
Hamilton 

Harlan 

6 

12 
7 
49 
12 
8 

19 
5 

2 
5 

30 

7 

3 

Eddy 

Guadalupe 

Harding 

Lea 

Lincoln 

Luna 

McKinley 

9 

1 
44 
28 
34 
30 

35 
1 
15 
17 

9 

18 
13 

13 

Jackson 

Lee 

Macon 
Martin 

23 

5 

25 
2g 
17 

22 
11 

Table  80.  —  Number  of  Full-time  Law 

Enforcement  Employees,  Rural  Counties,  October  31, 

1986— Continued 

County  by  state 

Total 

police 

employees 

Total 

Total 
civilians 

County  by  state 

Total 

employees 

Total 
officers 

Total 

County  by  state 

Total 

employees 

Total 

Total 

NORTH  CAROLINA— 

NORTH  DAKOTA— 

OKLAHOMA— 

Continued 

Continued 

Continued 

McDowell 

34 

23 

II 

Towner 

3 

2 

, 

Greer                       

5 

4 

1 

Montgomery 

27 

18 

9 

Traill 

6 

6 

Harmon 

3 

3 

Moore 

50 

32 

18 

Walsh 

11 

11 

Harper 

9 

5 

4 

Nash 

45 

32 

13 

Ward 

Northampton 

19 

7 

12 

Wells 

2 

2 

Hughes 

9 

8 

1 

Pamlico 

11 

10 

5 

Williams 

28 

26 

2 

11 

6 

Perquimans 

4 

1 

OHIO 

22 

19 

3 

Kay 

25 

8 

17 

Ashland      

36 

74 

34 

2 

17 

9 

8 

Kiowa 

8 

8 

46 

26 

20 

Champaign 

22 

22 

Latimer       

5 

3 

Coshocton 

55 
27 

48 

7 

Rockingham 

72 

65 

7 

Lincoln 

12 

6 

6 

Rutherford 

38 

25 

13 

51 

Love 

7 

7 

Sampson 

47 

35 

12 

20 

18 

Major 

7 

7 

Scotland 

28 

24 

4 

Erie 

43 

26 

17 

Marshall 

11 

5 

6 

Fayette 
Gallia 
Hardin 

Harrison                

Henry 

Highland 

Hocking 

23 
29 
20 

22 
25 
17 

21 

27 

2 
2 
9 

Mayes 

Swain 

4 

8 

22 
16 
11 

Murray 
Muskogee 

. 

4 

6 

Warren            

14 

10 

4 

Nowata 

9 

5 

4 

Washington  

11 

7 

4 

18 

15 

3 

Okfuskee 

9 

9 

Watauga 

28 

19 

9 

Huron 

27 

19 

8 

Okmulgee     

13 

7 

6 

Logan 

47 
27 
14 

34 

5 
1 

Pawnee 

Wilson 

57 

37 

20 

13 

Payne                 

18 

18 

Morgan 

14 

8 

6 

Pittsburg 

15 

15 

NORTH  DAKOTA 

Morrow 

20 

10 

10 

Pontotoc 

Muskingum 

47 

28 

19 

Pushmataha 

6 

5 

1 

Adams 

5 

4 

1 

Ottawa 

35 

30 

5 

Roger  Mills     

12 

11 

1 

11 

11 

19 

13 

6 

Seminole 

14 

14 

Stephens     

10 

9 

1 

Texas 

13 

6 

7 

Tillman       

6 

5 

1 

Washita 

10 

9 

1 

4 
7 

3 

1 

41 

39 

2 

Washington 

Woods          

16 
7 

16 

Cavalier 

3 

Dickey              

4 

3 

1 

Scioto 

22 

22 

Woodward 

11 

7 

4 

3 

2 

1 

Shelby 

28 

28 

Dunn 

Tuscarawas 

4 

OREGON 

Emmons 

2 

2 

Vinton 

9 

5 

Baker 

7 

6 

1 

Foster 

2 

2 

Wayne 

55 

48 

7 

Benton 

29 

24 

5 

Golden  Valley 

8 

3 

5 

Williams 

27 

22 

5 

Clatsop 

5 

4 

1 

Grant 

3 

3 

Wyandot 

11 

6 

5 

Columbia 

14 

12 

2 

Gnggs 

2 

2 

Coos 

36 

25 

11 

Hettinger 

2 

2 

OKLAHOMA 

Crook 

8 

6 

2 

Kidder 

2 

2 

Curry             

21 

14 

7 

La  Moure 

3 

3 

Adair 

6 

6 

Deschutes 

46 

34 

12 

2 

2 

7 

4 

3 

Douglas      

92 

61 

31 

McHenry 

2 

2 

7 

5 

2 

Gilliam 

2 

2 

2 

2 

3 

3 

3 

McKenzie 

6 

6 

13 

13 

Harney         

3 

2 

1 

McLean 

23 

18 

5 

7 

Hood  River 

14 

11 

3 

Mercer 

19 

19 

Jefferson 

14 

9 

5 

Mountrail 

9 

5 

4 

7 

Josephine 

51 

36 

15 

Nelson 

5 

4 

1 

9 

Klamath 

27 

21 

6 

Oliver 

3 

3 

18 

13 

=, 

Lake 

6 

5 

1 

Pembina                 

16 

12 

4 

11 

9 

2 

Lincoln            

22 

!9 

3 

Pierce 

7 

3 

4 

Linn 

53 

50 

3 

Ramsey 

7 

6 

1 

Malheur 

11 

10 

1 

Ransom 

4 

4 

9 

4 

5 

Morrow 

13 

7 

6 

Renville 

4 

2 

2 

p 

5 

7 

Sherman 

4 

3 

1 

Richland 

12 

6 

6 

Tillamook 

15 

12 

3 

Rolette 

6 

3 

3 

15 

10 

5 

Umatilla 

13 

11 

2 

Sargent 

3 

3 

10 

g 

2 

Union           

4 

3 

1 

Sheridan 

2 

2 

Wallowa    

10 

6 

Slope 

1 

1 

Wasco 

23 

15 

8 

Stark 

9 

6 

3 

15 

15 

Wheeler 

1 

1 

Stutsman 

11 

10 

' 

Grant 

8 

4 

4 

Table  80.  —  Number  of  Full-time  Law  Enforcement  Employees,  Rural  Counties,  October  31,  1986 — Continued 


Total 

mpln\ees 


County  by  state 


Total 

police 

employes 


SOUTH  DAKOTA- 


Spmk 
Sully 


TENNESSEE 

Bradley       

Chester 
Claiborne 

Cocke 

Crockett 
Cumberland 

Decatur 

Fayette 
Fentress 


Greene 
Hamblen 
Hancock 
Hardeman 

Hardin 

Henderson 

Henry 

Houston 

Humphreys 

Lake 

Lauderdale 

Lincoln 
McNairy 
Monroe 

Overton 
Perry- 
Rhea 
Roane 
Smith 

Trousdale 
Van  Buren 
Warren 
Weakley 
White 


Anderson 
Andrews .  . 

Aransas 

Archer 

Armstrong 
Atascosa  . 

Austin 

Bailey 

Bandera 

Bastrop 

Baylor 

Bee 

Blanco 

Borden 

Bosque 


Burleson 
Caldwell 

(  '.llholll! 


TEXAS — Continued 

Callahan 
Camp 

Cass 

Castro  

Chambers    

Cherokee  

Childress 
Clay 
Cochran 
Coke 

Coleman  

Collingsworth 
Colorado 

Comanche 

Concho 

Cooke 

Cottle 

Crane  

Crockett 

Crosby  

Culberson 
Dallam 
Dawson 
Deaf  Smith 
Delta 
De  Win 

Dimmit 
Donley 
Duval 
Eastland 

Edwards 

Erath  

Fayette 

Floyd 

Foard 

Franklin 
Freestone 

Garza 

Gillespie      

Glasscock     

Goliad 

Gonzales 

Gray  

Hale 

Hall 

Hamilton 

Hansford 

Hardeman 

Hartley 

Haskell 

Hemphill 

Henderson 

Hill 

Hockley 
Hood 
Hopkins 
Houston 

Howard 

Hudspeth 

Hunt 

Hutchinson 

Inon 

Jack 

Jackson 

Jeff  Davis 


Table  80.  —  Number  of  Full-time  Law 

Enforcement  Employees,  Rural  Counties,  October  31. 

1986 — Continued 

County  by  state 

Total 
employees 

Total 
officers 

Total 
civilians 

County  by  state 

Total 

police 

employees 

Total 

Total 

County  by  state 

Total 

employees 

Total 
officers 

Total 
civilians 

TEXAS — Continued 

TEXAS— Continued 

VIRGINIA— Continued 

Jones 

13 

4 

9 

Sterling 

3 

3 

Buckingham 

13 

8 

5 

31 

24 

Sutton 

C        II 

Swisher 

Charlotte 

18 
24 

14 
19 

4 

- 

. 

Craig 

. 

7 

] 

Cumb-rland 

D    k 

31 

23 

„ 

Kleberg 

, 

Fauquier 

Floyd 

Franklin 

.  . 

Lamb 

12 

7 

5 

Uvalde 

17 

9 

8 

44 

35 

9 

Lampasas    

12 

11 

1 

Val  Verde 

67 

9 

58 

Frederick 

51 

32 

19 

La  Salle 

10 

5 

5 

Van  Zandt 

26 

13 

13 

Giles           

28 

28 

Lavaca 

15 

13 

2 

Walker 

45 

21 

24 

Gravson 

25 

20 

5 

Lee 

12 

8 

4 

Ward            

32 

16 

16 

Greensville 

23 

21 

2 

Washington 
Wharton 

33 
88 

26 

77 

Limestone 

19 

3 

35 

22 

13 

11 

Lipscomb 

10 

10 

Wheeler 

9 

6 

3 

Highland 

9 

6 

3 

Wilbarger 
Willacy 

Isle  of  Wight 
King  George 
King  and  Queen 
King  William 

Loving 

Lynn 

12 

5 

7 

Winkler 

14 

2 

17 

11 

6 

Madison 

14 

9 

5 

Wise 

28 

15 

13 

Lancaster 

22 

19 

3 

Martin 

7 

3 

5 

Lunenburg 

Vlatagorda 

Zapata 

13 
9 

13 
7 

Zavala 

15 

13 

2 

13 

8 

19 

McCulloch 

Mecklenburg  

25 

McMullen        

2 

2 

Middlesex 

12 

7 

5 

Montgomery 

Box  Elder 

5 
34 
53 

4 
26 
38 

8 

Northampton 
Northumberland 

Mills 

5 

3 

2 

18 

14 

4 

Mitchell 

1 1 

5 

6 

27 

6 

Nottoway 

14 

13 

1 

Montague 

13 

6 

7 

Daggett 

3 

Orange 

29 

29 

Moore 

18 

16 

2 

18 

3 

Page 

28 

28 

Morris 

13 

8 

5 

Emery 

38 

24 

14 

Patrick 

24 

21 

3 

Motley 

2 

2 

6 

4 

Prince  Edward 

25 

23 

2 

Nacogdoches 

35 

19 

16 

14 

9 

5 

Pulaski 

52 

40 

12 

Navarro 

30 

26 

4 

Rappahannock 

13 

10 

3 

Mewton  

13 
19 

8 
9 
8 

5 

12 
9 

6 

8 

1 

Richmond 
Rockbridge 
Rockingham    

14 
26 
54 

11 
20 
25 

3 

Nolan 

Kane 

6 

Ochiltree  

29 

Oldham 

10 

5 

5 

Russell 

35 

35 

Palo  Pinto 

23 

11 

12 

Shenandoah 

33 

33 

Panola 

20 

17 

3 

Rich 

5 

Smyth 

38 

38 

Parmer             

11 

5 

6 

Southampton 

31 

23 

8 

Pecos 

23 

19 

4 

16 

10 

6 

Spotsylvania 

38 

28 

10 

Polk 

25 

22 

3 

23 

19 

4 

Surry     

12 

7 

5 

Presidio 

10 

5 

5 

Sussex            

25 

25 

Rains 

16 

7 

9 

30 

14 

Tazewell 

49 

41 

8 

Reagan 

14 

8 

6 

Wan-en 

37 

37 

Real 

4 

4 

Westmoreland 

27 

20 

7 

Red  River 

13 

7 

6 

Washington 

Wayne         

q 

Wise            

51 

40 

11 

Reeves 

116 

15 

101 

Wythe 

39 

31 

8 

Refugio 

13 

9 

4 

Roberts 
Robertson 

10 

5 

1 
5 

VERMONT 

WASHINGTON 

Runnels 
Rusk 

10 
26 

5 
16 

5 
10 

Windham 

16 

11 

5 

Asotin 

18 
7 

10 

8 

Sabine 

9 

4 

5 

San  Augustine 

11 

7 

4 

Clallam 

38 

29 

San  Jacinto 

20 

10 

10 

San  Saba 

7 

7 

Accomack 

2 

Schleicher 

8 
12 

7 

5 

Alleghany 

Amelia   

]\ 

6 

5 

Douglas 

24 

24 

Shackelford 

3 

3 

Augusta 

9 

Grant 

Grays  Harbor 

51 
50 

29 
44 

22 
6 

Sherman 

Somervell       

8 
18 

3 
6 

5 
12 

Bedford 
Bland 

10 

45 
10 

Starr 

44 

20 

24 

Brunswick 

Buchanan 

33 

33 

4 

25 

18 

- 

Stephens 

325 


Table  80.  —  Number  of  Full-time  Law  Enforcement  Employees,  Rural  Counties,  October  31,  1986 — Continued 


Total 
police 

niplnu-cs 


Total 

cmpl.nt-es 


Total 
employees 


WASHINGTON- 


Klickitat 

Lewis 

Lincoln 

Okanogan 
Pend  Oreille 
San  Juan 

Skagit 

Skamania 
Stevens 
Wahkiakum 
Walla  Walla 
Whitman 


WEST  VIRGINIA 

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 


WEST  VIRGINIA- 


WISCONSIN- 


Raleigh 

Randolph 

Ritchie 

Summers 
Taylor 

Tyler 

Upshur 

Webster 

Wetzel 

Wirt 

Wyoming      

WISCONSIN 

Adams    

Bayfield 

Buffalo   

Clark 

Columbia  

Door 

Florence 

Gram 

Green  Lake 

Iowa 
Iron 

Jackson     

Jefferson  

Kewaunee 

Lafayette      

Langlade 
Lincoln 
Manitowoc 

Marquette 
Menominee 

Oconto 

Pierce 

Polk 

Portage 


Price 

Richland 
Rusk 

Sawyer 

Shawano 

Taylor 

Trempealeau 

Vilas 

Walworth 

Washbum 

Waupaca 

Waushara    

Wood 

WYOMING 

Big  Horn   

Campbell 

Converse 

Crook 

Fremont 

Goshen 

Hot  Springs 

Johnson 

Lincoln  

Niobrara 

Park 

Platte 

Sheridan  

Sublette 

Sweetwater 

Teton 

Uinta 

Washakie  

Weston 

OTHER  AREAS 

American  Samoa 

Puerto  Rico 

Virgin  Islands 


SECTION  VI 

APPENDIX  I 

TABLE  METHODOLOGY 


Designed  to  assist  the  reader,  this  appendix  explains  the 
instruction  of  many  tabular  presentations  in  the  book.  The 
)llowing  key  refers  to  the  columnar  headings  used 
iroughout  the  appendix. 

^ey:  A)  Column  1  shows  the  table  numbers.  Included  are 
Tables  1  through  69,  Crime  in  the  United  States- 
1986. 

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. 


I 


327 


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


All  law  enforcement  agencies  in  the  UCR  Progr; 
(including  those  submitting  less  than  12  months 


All  law  enforcement  agencies  in  the  UCR  Prograt 
(including  those  submitting  less  than  12  months  i 
1986). 

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 
1986). 


Table  Constructic 


The  1986  statistics  are  consistent  with  Table  2.  Pre- 
1986  crime  statistics  may  have  been  updated,  and 
hence,  may  not  be  consistent  with  prior  publica- 
tions. Crime  statistics  include  estimated  offense 
totals  for  agencies  submitting  less  than  12  months 
of  offense  reports  for  each  year.  Population  statis- 
tics represent  July  1  provisional  estimations  foi 
each  year  except  April  1,  1980.  The  offense  break 
downs  are  according  to  UCR  crane  definition! 
(App.  II).  Crime  volume  statistics  are  rounded  tc 
the  nearest  10  for  violent  crime  and  the  nearest  100 
for  property  crime.  Percent  changes  and  rate 
computed  prior  to  rounding. 

Statistics  are  aggregated  from  individual  state  s 
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,  1986,  Bureau  of  the 
Census  provisional  estimates.  The  tabular  break- 
downs  are  in  accordance  with  UCR  crime  defini 
tions  (App.  II)  and  population  classifications  (App. 


Ill) 


are   computed   from 
Table  4.  Populi 
ly  1,  1986,  Bureau  of 


General  Comments 


Represents  an  estimation  of  national  reported 
crime  activity  from  1977  to  1986. 


All    law   enforcement    agencies   submitting   complete 
reports  for  12  months  in   1986. 


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


All    law    enforcement    agencies    submitting    complete 
reports  for  12  months  in   1986. 


Regional  offense  distribute 
volume  figures  as  shown 
distributions  are  based  on 
the  Census  provisional 

The  1986  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 
1985  and  1986.  Population  statistics  represent 
July  1  provisional  estimates  for  1985  and  1986.  The 
offense  breakdowns  are  according  to  UCR 
definitions  (App.  II). 


Crime  statistics  include  estimated  offense  totals  for 
agencies  submitting  less  than  12  months  of  offense 
reports.  Population  statistics  represent  July  1, 
1986,  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  ' 
UCR  definitions  (App.  II). 

"Cities  and  Towns"  are  defined  to  be  agencies 
Population  Groups  I  through  V  (App.  Ill)    The 
populations  are  July   1,   1986.  estimates  for  each 
agency. 

The  1985  student  enrollment  figures,  which  are  pro- 
vided by  the  U.S.  Department  of  Education,  are  the 
most  recent  available. 


•Suburban  Counties"  are  defined  as  the  areas  covered 
by  noncity  agencies  within  an  MSA  (App.  Ill) 
Populat 
July  1,  1986. 


timation  of  national  reported 


Represents  the  1986  geographical  distribution 
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  crim< 
activity  for  Index  offenses  at  the  state  level 
Any  comparison  of  UCR  statistics  shoult 
take  into  consideration  demographic  differ 
ences. 


Represents  reported  crane  activity  of  individua 
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  statii 
tics  should  take  into  consideration  size  c 
enrollment,  number  of  on-campus  resident 
plus  other  demographic  differences. 

Represents  crime  reported  to  individual  la' 
enforcement  agencies  in  suburban  countie 
i.e.,  the  individual  sheriff's  office,  count 
police  department,  highway  patrol,  and/c 
state  police.  These  figures  do  not  represei 
the  county  totals  since  they  exclude  cil 
crime  counts.  Any  comparison  of  UCI 
statistics  should  take  into  consideratio 
demographic  differences. 


328 


"Rural  Cou: 
(App.    II 


Table  Construction 
ies"  are  those  outside  MSAs  and  whose 
is  are  not  covered  by  city  police  agencies 

Population    classifications    of  i 
e  based  on  July  1,  1986,  estimates  for 
agencies. 


2-year 


All    law    enforcement    agencies   submitting   comple 
reports  for  12  months  in  1986. 


II    law   enforcement   agencies   submitting   complete 
reports  for  at  least  6  months  in   1986. 


All    law    enforcement    agencies   submitting    complet 
reports  for  at  least  6  months  in   1986. 


All  law  enforcement  agencies  in  the  UCR  Program 
(including  those  submitting  less  than  12  months 
1986). 


All    law   enforcement    agencies   submitting   completi 
reports  for  12  months  tn  1986. 


All    law    enforcement    agencies    submitting   complett 
reports  for  12  months  in  1977  and   1986. 


All    law   enforcement    agencies   submitting   complete 
reports  for   12  months  in   1986. 


All    law    enforcement    agencies   submitting    completi 
reports  for  12  months  in   1986. 


The  1986  crime  trend  statistics 

sons  based  on  1986  reported  crime  activity.  Only 
common  reported  months  for  individual  agencies 
are  included  in  1986  trend  calculations.  Popuh 
tions  represent  July  I,  1986,  estimates  for  individu 
al  agencies.  The  tabular  breakdowns  are  accordi 
to  UCR  crime  definitions  (App.  II)  and  population 
classifications  (App.  III).  Note  that  "Suburban 
Nonsuburban  Cities"  are  all  municipal  agencies 
other  than  central  cities  in  MSAs 
The  1986  crime  rates  are  the  ratios  of  the  aggregated 
1986   crime   volumes   and    the   aggregated    19i 
populations  of  the  contributing  agencies.  Popul; 
Hon  statistics  represent  July  1.  1986,  estimates  for 
individual  agencies.  The  tabular  breakdowns 
according  to  UCR  crane  definitions  (App.  II) 
population   classifications  (App.   III).   Note  that 
"Suburban  and  Nonsuburban  Cities' 
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  bas 
offense  total  with  each  Index  offense.  Trend 
tics  are  derived  based  on  agencies  with  at  least  6 
common  months  complete  for  1985  and  1986. 
The  1986  clearance  rates  are  based  on  offense  anc 
clearance  volume  totals  of  the  contributing  agen 
cies  for  1986.  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  estimate! 
based  on  the  arrest  statistics  of  all  law  enforcemenl 
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  1,   1986,  estimates). 
The    1986  arrest  rates  are  the  ratios,  per   100,000 
inhabitants,  of  the  aggregated  1986  reported 
statistics  and  population.  The  popul; 
represent  the  July  1,  1986,  estimates  for  individual 
agencies.  The  tabular  breakdowns  are  according  tc 
UCR  crane  definitions  (App.  Ill  and  populatior 
classifications/geographical    configuration    (App. 
Ill) 
The    arrest    trends    are    the   percentage   differences 
between  1977  and  1986  arrest  volumes  aggregated 
from  all  common  agencies.   Population 
represent  July   1,   1986,  estimates. 
The   arrest    trends    are    the    percentage   differences 
between  1982  and  1986  arrest  volumes  aggregated 
from  common  agencies.  Population  statistics  repre- 
sent July  1,   1986,  estimates. 
The  arrest  trends  are  2-year  comparisons  between 
1985  and    1986  arrest  volumes  aggregated  from 
common  agencies.  Population  statistics  represent 
July  1,   1986,  estimates. 


Represents  crime  reported  to  individual  rural 
county  law  enforcement  agencies  covering 
populations  25,000  and  over,  i.e.,  the  indi- 
vidual sheriffs  office,  county  police  depart- 
ment, highway  patrol,  and/or  state  police. 
These  figures  do  not  represent  the  county 
totals  since  they  exclude  city  crime  counts. 
Any  comparison  of  UCR  statistics  should 
take  into  consideration  demographic  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  Tables  38  and  39 
due  to  editing  procedure  and  lower  submis- 
sion of  race  and  ethnic  origin  data. 


54,  55 


All  city  law  enforcement  agencies  submitting  complete 
reports  for  12  months  in  1985  and  1986. 


All  suburban  county  law  enforcement  agencies  submi 
ting  complete  reports  for  12  months  in  1985  and 
1986. 


All  suburban  county  law  enforcement  agencies  submit 
ting  complete  reports  for  12  months  in  1986. 

All  rural  county  law  enforcement  agencies  submitting 
complete  reports  for  12  months  in  1985  and  1986 


All  rural  county  law  enforcement  agencies  submitting 
complete  reports  for  12  months  in  1986. 


All  suburban  area  law  enforcement  agencies  submitting 
complete  reports  for  12  months  in  1985  and 


All  suburban  area  law  enforcement  agencies  submitting 
complete  reports  for  12  months  in   1986. 


All   law   enforcement   agencies   submitting   complete 
reports  for  12  months  in  1986. 


All   law   enforcement   agencies   submitting   complete 
reports  for  12  months  in  1986. 


(3) 
Table  Construction 


The  1986  city  arrest  trends  represent  the  percentage 
differences  between  1985  and  1986  arrest  volumes 
aggregated  from  common  city  agencies.  "City 
Agencies"  are  defined  to  be  all  agencies  withir 
Population  Groups  I-VI  (App.  III). 

"City  Agencies"  are  defined  as  agencies  within  Popu 
lation  Groups  1-VI  (App    III). 

The  1986  suburban  county  arrest  trends  represent 
percentage  differences  between  1985  and  1986 
volumes  aggregated  from  contributing  agencies 
"Suburban  Counties"  are  defined  as  the  areas 
covered  by  noncity  agencies  within  an  MSA  (App. 
III). 

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

The  1986  rural  county  arrest  trends  represent  percent 
age  differences  between  1985  and  1986  volume 
aggregated  from  contributing  agencies.  "Rural 
Counties"  are  defined  as  noncity  agencies  outside 
MSAs  (App.  III). 

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

The  1986  suburban  area  arrest  trends  represent  per 
centage  differences  between  1985  and  1986  aires 
volumes  aggregated  from  contributing  agencies 
"Suburban  Area"  is  defined  as  cities  with  fewer 
than  50,000 
MSAs  (App.  HI). 

"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  1986.  The  tabular 
breakdowns  are  according  to  UCR  crime  defim 
tions  (App.  II). 

Population  statistics  represent  July  1,  1986, 

for  individual  agencies.  See  Appendix  III  for 
definitions  of  the  population  classifications  pre 
sen  ted. 


and  all  counties  within 


Slight  decrease  in  coverage  for  Tables  45  and  46 
due  to  editing  procedure  and  lower  submis- 
sion of  race  and  ethnic  origin  data. 


Slight  decrease  in  coverage  for  Tables  52  and  53 
due  to  editing  procedure  and  lower  submis- 


Slight  decrease  in  coverage  for  Tables  59  and  « 
due  to  editing  procedure  and  lower  submis 
sion  of  race  and  ethnic  origin  data. 


Slight  decrease  in  coverage  for  Tables  66  and  6 
due  to  editing  procedure  and  lower  submis 
sion  of  race  and  ethnic  origin  data. 

Any  comparison  of  statistics  should  take  int 
consideration  variances  in  arrest  practice 
particularly  for  Part  II  crimes. 

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


APPENDIX  II 
OFFENSES  IN  UNIFORM  CRIME  REPORTING 


Offenses  in  Uniform  Crime  Reporting  are  divided  into 
vo  groupings,  Part  I  and  Part  II.  Information  on  the 
jlume  of  Part  I  offenses  known  to  law  enforcement,  those 
eared  by  arrest  or  exceptional  means,  and  the  number  of 
:rsons  arrested  is  reported  monthly.  Only  arrest  data  are 
ported  for  Part  II  offenses. 

The  Part  I  offenses  are  as  follows: 

Criminal  homicide.-  a.  Murder  and  nonnegligent 
anslaughter:  the  willful  (nonnegligent)  killing  of  one 
jman  being  by  another.  Deaths  caused  by  negligence, 
tempts  to  kill,  assaults  to  kill,  suicides,  accidental  deaths, 
id  justifiable  homicides  are  excluded.  Justifiable  homicides 
•e  limited  to:  (1)  the  killing  of  a  felon  by  a  law  enforcement 
ficer  in  the  line  of  duty;  and  (2)  the  killing  of  a  felon  by  a 
•ivate  citizen,  b.  Manslaughter  by  negligence:  the  killing  of 
lother  person  through  gross  negligence.  Traffic  fatalities 
e  excluded.  While  manslaughter  by  negligence  is  a  Part  I 
ime,  it  is  not  included  in  the  Crime  Index. 

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

Robbery.-  The  taking  or  attempting  to  take  anything  of 
ilue  from  the  care,  custody,  or  control  of  a  person  or 
srsons  by  force  or  threat  of  force  or  violence  and/or  by 
ltting  the  victim  in  fear. 

Aggravated  assault.-  An  unlawful  attack  by  one  person 
)on  another  for  the  purpose  of  inflicting  severe  or 
;gravated  bodily  injury.  This  type  of  assault  usually  is 
:companied  by  the  use  of  a  weapon  or  by  means  likely  to 
■oduce  death  or  great  bodily  harm.  Simple  assaults  are 
;cluded. 

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

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

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


331 


Liquor  laws.-  State  or  local  liquor  law  violations,  except  Suspicion.-  No  specific  offense;  suspect  released  without 

"drunkenness"  and  "driving  under  the  influence."  Federal  formal  charges  being  placed, 
violations  are  excluded. 

_       .  „cc  ,  t.  j       ,  Curfew    and    loitering    laws.-  (persons    under   age 

Drunkenness.- Offenses    relating    to    drunkenness    or  vr  ° 

intoxication.  Excluded  is  "driving  under  the  influence."  18)- Offenses   relating   to   violations   of  local   curfew   or 

loitering  ordinances  where  such  laws  exist. 
Disorderly  conduct.-  Breach  of  the  peace. 

Vagrancy- Vagabondage,  begging,  loitering,  etc.  Runaways.- (persons  under  age  18).- Limited  to  juveniles 

All  other  offenses.- All  violations  of  state  or  local  laws,  taken  int0  Protective  custody  under  provisions  of  local 

except  those  listed  above  and  traffic  offenses.  statutes. 


332 


APPENDIX  III 
UNIFORM  CRIME  REPORTING  AREA  DEFINITIONS 


Community  Types 

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

The  MSA  concept  was  developed  to  facilitate  the  analysis 
nd  dissemination  of  uniform  statistical  information  on 
letropolitan  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 
iublishing  statistical  data.  Each  MSA  is  an  integrated 
conomic  and  social  unit  with  a  recognized  large  population 
:ucleus.  Detailed  criteria  followed  in  establishing  and 
efining  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 
aving  strong  economic  and  social  relationships  to  the 
entral  city  and  county  are  also  included.  Counties  in  MSAs 
re  designated  suburban  in  UCR.  An  MSA  may  cross  state 


New  England  MSAs  are  comprised  of  cities  and  towns 
istead  of  counties.  In  this  publication's  tabular 
resentations,  New  England  cities  and  towns  are  assigned  to 
tie  proper  MSA.  However,  some  counties  have  both 
uburban  and  rural  portions.  Data  for  state  police  and 
heriffs  in  those  jurisdictions  are  included  in  statistics  for 
tie  rural  area. 

MSAs  made  up  approximately  76  percent  of  the  total 
Jnited  States  population  in  1986.  Some  presentations  in  this 
ook  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 
utside  MSAs.  They  comprised  10  percent  of  the  1986 
opulation  of  the  United  States. 

Rural  counties,  like  "other  cities,"  are  outside  MSAs. 
Covering  areas  not  under  the  jurisdiction  of  city  police 
epartments,  rural  county  law  enforcement  agencies  offered 
srvice  to  14  percent  of  the  national  population  in  1986. 

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


MSA 

NON-MSA 

CITIES 

CENTRAL  CITIES 
50,000  AND  OVER 

OTHER 
CITIES 

SUBURBAN 
CITIES 

COUNTIES 

(Unincorporated  area) 

SUBURBAN 
COUNTIES 

RURAL 

COUNTIES 

Population  Groups 

The  population  group  classifications  used  by  the  UCR 
Program  are  as  follows: 


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  1986  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  1984  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 
1986. 


Population 

Number  of 

Population 

Group 

Agencies 

Covered 

I   

61 

44,077,000 

II    

126 

18,385,000 

Ill    

309 

21,110,000 

IV                         

679 

23,496,000 

V 

1,691 

26,550,000 

VI  

7,775 

25,363,000 

VIII  (Rural  County)    

3,714 

34,125,000 

IX  (Suburban  County) 

1,668 

47,973,000 

Total 

16,023 

241,077,000' 

Because  of  rounding,  the  population  covered  does  not  add  to 


333 


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 

East  South  Central 

Delaware 

Alabama 

District  of  Columbia 

Kentucky 

Florida 

Mississippi 

Georgia 

Tennessee 

Maryland 

West  South  Central 

North  Carolina 

Arkansas 

South  Carolina 

Louisiana 

Virginia 

Oklahoma 

West  Virginia 

Texas 

WESTERN  STATES 

Mountain 

Pacific 

Arizona 

Alaska 

Colorado 

California 

Idaho 

Hawaii 

Montana 

Oregon 

Nevada 

Washington 

New  Mexico 

Utah 

Wyoming 

REGIONS  and  DIVISIONS  of  the  UNITED  STATES 


APPENDIX  IV 

INDEX  OF  CRIME,  METROPOLITAN 

STATISTICAL  AREAS,  1986 


Modified 

Murder 

Metropolitan  Statistical  Area 

Population 

3f 

total1 

cnW 

Pc3e"y 

and  non- 
negligent 

sl.imrhlci 

FOra*'e 

Robbery 

Aggra- 

Burglary 

theft 

theft 

Arson' 

kbilene,  Tx.  M.S.A 

128,446 

(Includes  Taylor  County.) 

City  of  Abilene 

112,848 

7,435 

506 

6,929 

12 

48 

176 

270 

2,351 

4.225 

353 

Total  area  actually  reporting 

100.0% 

7.829 

543 

7,286 

14 

52 

183 

294 

2,540 

4.370 

376 

Rate  per  100,000  inhabitants 

6,095.2 

422.7 

5,672.4 

10.9 

40.5 

142.5 

2289 

1.977.5 

3.402.2 

292.7 

Lkron,  Oh.  M.S.A 

650,132 

(Includes  Portage  and  Summit 

Counties.) 

City  of  Akron 

226,877 

17,598 

2,445 

15,153 

25 

163 

676 

1.581 

3.295 

10,571 

1,287 

Total  area  actually  reporting 

81.1% 

28.643 

3,314 

25,329 

28 

229 

835 

2.222 

5.615 

17,892 

1.822 

Estimated  total 

100.0% 

31.955 

3,563 

28,392 

31 

253 

888 

2,391 

6.379 

19,970 

2,043 

Rate  per  100.000  inhabitants 

4.915.2 

548.0 

4,367.1 

4.8 

38.9 

136.6 

367.8 

981.2 

3,071.7 

314.2 

lbany,  Ga.  M.S.A 

122,010 

(Includes  Dougherty  and  Lee 

Counties.) 

City  of  Albany  

88.864 

5,302 

746 

4,556 

2,482 
2,783 

Total  area  actually  reporting 

100.0% 

816 

5,099 

16 

63 

302 

435 

2^108 

208 

Rate  per   100,000  inhabitants 

4,848.0 

668.8 

4,179.2 

13.1 

51.6 

247.5 

356.5 

1,727.7 

2,281.0 

170.5 

Ibanv-Schenectady-Tnn,  N.Y. 

1.S.A 

844,679 

(Includes  Albany,  Greene, 

Montgomery,  Rensselaer,  Saratoga  and 

Schenectady  Counties.) 

City  of: 

Albany     ...... 

99,657 

5,901 

739 

5,162 

8 

71 

238 

422 

1.904 

2.956 

302 

Schenectady 

68,122 

3,281 

206 

3,075 

2 

15 

121 

68 

1,249 

1,665 

161 

Troy 

55,443 

3,228 

212 

3.016 

3 

21 

101 

87 

858 

2,005 

153 

Total  area  actually  reporting 

98.7% 

29.702 

2.214 

27,488 

20 

168 

583 

1.443 

8.076 

18,236 

1.176 

Estimated  total         

100.0% 

30,083 

2,243 

27,840 

20 

169 

593 

1.461 

8,156 

18,483 

1,201 

Rate  per  100.000  inhabitants 

3,561.5 

265.5 

3,295.9 

2.4 

20.0 

70.2 

173.0 

965.6 

2.188.2 

142.2 

Jbuquerque,  N.M.  M.S.A 

466,852 

(Includes  Bernalillo  County.) 

City  of  Albuquerque 

364,196 

35.516 

4,292 

31,224 

49 

247 

1,248 

2,748 

9,746 

19.490 

1,988 

Total  area  actually  reporting 

100.0% 

41,848 

5.053 

36,795 

65 

299 

1,382 

3.307 

12,471 

21,988 

2,336 

Rate  per  100.000  inhabitants  . 

8,963.9 

1,082.4 

7,881.5 

13.9 

64.0 

296.0 

708.4 

2.671.3 

4,709.8 

500.4 

lexandria,  La.  M.S.A 

140,111 

(Includes  Rapides  Parish.) 

City  of  Alexandria 

52.985 

5.203 

469 

4.734 

20 

28 

86 

335 

1.312 

3.222 

200 

Total  area  actually  reporting 

99.6% 

7,387 

638 

6,749 

27 

37 

102 

472 

1.859 

4.597 

293 

Estimated  total 

100.0% 

7,418 

641 

6,777 

27 

37 

103 

474 

1.865 

4,618 

294 

Rate  per  100,000  inhabitants 

5.294.4 

457.5 

4,836.9 

19.3 

264 

73  5 

338.3 

1,331.1 

3,296.0 

209.8 

llentown-Bethlehem,  Pa.-N.J. 

I.S.A 

647,361 

(Includes  Carbon,  Lehigh,  and 

Northampton  Counties,  Pa.,  and 

Warren  Couaty,  N.J.) 

City  of: 

Allentown 

103,801 

5,915 

460 

5,455 

10 

41 

231 

178 

1,595 

3,591 

269 

Bethlehem 

69,901 

2.506 

179 

2,327 

4 

18 

61 

96 

592 

1.647 

88 

Total  area  actually  reporting 

100.0% 

18,795 

1,247 

17,548 

27 

120 

400 

700 

4,689 

11,981 

878 

Rate  per  100.000  inhabitants 

2,903.3 

192.6 

2.710.7 

4.2 

18.5 

61.8 

108.1 

724.3 

1,850.7 

135.6 

Jtoona,  Pa.  M.S.A 

134,269 

(Includes  Blair  County.) 

City  of  Altoona 

54,544 

1,817 

108 

1.709 

12 

35 

61 

586 

1,019 

104 

97.3% 

3,554 

197 

3,357 

1 

21 

51 

124 

928 

2.238 

191 

Estimated  total 

100.0% 

3,647 

204 

3,443 

1 

21 

53 

129 

947 

2.297 

199 

Rate  per  100,000  inhabitants 

2,716.2 

151.9 

2,564.3 

,7 

15.6 

39.5 

96.1 

705.3 

1.710.7 

148.2 

marillo,  Tx.  M.S.A 

198,503 

(Includes  Potter  and  Randall 

Counties.) 

City  of  Amanllo 

169,927 

13,865 

887 

12,978 

21 

81 

275 

510 

3,653 

8,656 

669 

Total  area  actually  reporting 

100.0% 

14,675 

928 

1 3,747 

23 

87 

278 

540 

3.891 

9,130 

726 

Rate  per  100,000  inhabitants 

7,392.8 

467.5 

6,925.3 

11.6 

43.8 

140.0 

272.0 

1.960.2 

4,599.4 

365.7 

APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1986  —  Continued 

Metropolitan  Statistical  Area 

Population 

S£ 

Modified 
Index 

Violent 

•a* 

negligent 
slaughter 

Forcible 

Robbery 

Aggra- 

Burglary 

theft 

theft 

W 

Anchorage,  Ak.  M.S.A 

238,235 

{Includes  Anchorage  Borough.) 

Total  area  actually  reporting 

100.0% 

16,479 

1.198 

15,281 

17 

167 

330 

684 

2.824 

11.071 

1,386 

Rate  per  100,000  inhabitants     

6,917.1 

502.9 

6,414.3 

7.1 

70.1 

138.5 

287.1 

1,185.4 

4.647.1 

581.8 

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

2,185,816 

(Includes  Orange  County.) 

City  of: 

245.897 

17.944 

1.357 

16,587 

11 

111 

695 

540 

5.352 

9.193 

2.042 

Santa  Ana   

237,356 

22,500 

1.723 

20,777 

32 

77 

1,005 

609 

4.767 

13,028 

2.982 

Total  area  actually  reporting  .. 

100.0% 

131,835 

10,281 

121,554 

109 

604 

4.056 

5.512 

34,687 

72,927 

13.940 

Rate  per  100.000  inhabitants 

6.031.4 

470.4 

5,561.0 

5.0 

27.6 

185.6 

252.2 

1,586.9 

3,336.4 

637.7 

Anderson,  S.C.  M.S.A 

141,894 

(Includes  Anderson  County.) 

City  of  Anderson 

27,839 

2,304 

271 

2.033 

5 

16 

42 

208 

582 

1,338 

113 

Total  area  actually  reporting  . 

99.3% 

6.783 

653 

6.130 

15 

43 

84 

511 

2,092 

3.653 

385 

Estimated  total 

100.0% 

6,853 

661 

6,192 

15 

43 

86 

517 

2.107 

3.696 

389 

Rate  per  100,000  inhabitants.. 

4,829.7 

465.8 

4,363.8 

10.6 

30.3 

60.6 

364.4 

1.484.9 

2.604.8 

274.1 

Ann  Arbor,  Mi.  M.S.A 

263,903 

(Includes  Washtenaw  County.) 

City  of  Ann  Arbor 

108.461 

10.619 

749 

9,870 

3 

44 

217 

485 

1,753 

7.534 

583 

Total  area  actually  reporting 

99.3% 

21,187 

2,187 

19,000 

14 

228 

551 

1.394 

3.810 

13.747 

1.443 

Estimated  total 

100.0% 

21,294 

2,197 

19,097 

14 

229 

554 

1.400 

3.831 

13,810 

1.456 

Rate  per   100,000  inhabitants 

8,068.9 

832.5 

7,236.4 

5.3 

86.8 

209.9 

530.5 

1,451.7 

5.233.0 

551.7 

Anniston,  Al.  M.S.A 

127,714 

(Includes  Calhoun  County.) 

City  of  Anniston  .. 

30.510 

3.993 

834 

3,159 

8 

29 

92 

705 

914 

2,089 

156 

Total  area  actually  reporting 

100.0% 

5,856 

1,154 

4,702 

16 

42 

110 

986 

1,364 

3,102 

236 

Rate  per  100.000  inhabitants 

4,585.2 

903.6 

3.681.7 

12.5 

32.9 

86.1 

772.0 

1.068.0 

2.428.9 

184.8 

Appleton-Oshkosh-Neenah,  Wi. 

M.S.A 

298,836 

(Includes  Calumet,  Outagamie  and 

Winnebago  Counties.) 

City  of: 

62,598 

2,388 

35 

2,353 

3 

5 

23 

472 

1.825 

56 

Oshkosh  

50,349 

3,088 

58 

3,030 

5 

11 

42 

443 

2,520 

67 

Neenah 

22,636 

1,000 

10 

990 

1 

1 

4 

4 

160 

805 

25 

Total  area  actually  reporting 

100.0% 

10,428 

236 

10,192 

4 

13 

25 

194 

1.842 

8,081 

269 

Rate  per   100,000  inhabitants 

3,489.5 

79.0 

3,410.6 

1.3 

4.4 

8.4 

64.9 

616.4 

2.704.2 

90.0 

Asheville,  N.C.  M.S.A 

170,055 

(Includes  Buncombe  County.) 

City  of  Asheville 

60,148 

4,812 

360 

4,452 

33 

100 

970 

3,219 

263 

Total  area  actually  reporting 

100.0% 

7,440 

542 

6,898 

13 

53 

115 

361 

1.903 

4,594 

401 

Rate  per  100,000  inhabitants  

4,375.1 

318.7 

4,056.3 

7.6 

31.2 

67.6 

212.3 

1,119.0 

2.701.5 

235.8 

Athens,  Ga.  M.S.A 

145,621 

(Includes  Clarke.  Jackson,   Madison 

and  Oconee  Counties.) 

City  of  Athens 

44,495 

3.261 

377 

2.884 

2 

40 

80 

255 

809 

1.904 

171 

Total  area  actually  reporting 

98.2% 

7,073 

641 

6,432 

10 

67 

116 

448 

1,820 

4,217 

395 

Estimated  total 

100.0% 

7,262 

656 

6,606 

10 

68 

121 

457 

1.865 

4,331 

410 

Rate  per  100,000  inhabitants 

4,986.9 

450.5 

4,536.4 

6.9 

46.7 

83.1 

313.8 

1.280.7 

2.974.2 

281.6 

Atlanta,  Ga.  M.S.A 

2,488,984 

(Includes  Barrow,  Butts.  Cherokee. 

Clayton,  Cobb,  Coweta,  De  Kalb, 

Douglas,  Fayette,  Forsyth,  Fulton, 

Gwinnett,  Henry.  Newton.  Paulding, 

Rockdale.  Spalding  and  Walton 

Counties.) 

City  of  Atlanta 

445,617 

63,068 

13,162 

49,906 

186 

681 

5,428 

6,867 

13.454 

30.380 

6,072 

Total  area  actually  reporting 

99.1% 

183,779 

21,294 

162.485 

328 

1,415 

8.950 

10.601 

45.539 

98.929 

18,017 

Estimated  total 

100.0% 

185,329 

21,422 

163,907 

330 

1,426 

8.994 

10,672 

45.908 

99.860 

18,139 

Rate  per   100,000  inhabitants 

7,446.0 

860.7 

6,585.3 

13.3 

57.3 

361.4 

428.8 

1.844.4 

4.012.1 

728.8 

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

294,438 

(Includes  Atlantic  and  Cape  May 

Counties.) 

City  of  Atlantic  City 

37,284 

14,885 

1,088 

13,797 

7 

49 

550 

482 

1.695 

11,503 

599 

Total  area  actually  reporting 

100.0% 

30,434 

2,092 

28,342 

24 

160 

816 

1.092 

5,683 

21.211 

1.448 

Rate  per  100,000  inhabitants 

10,336.3 

710.5 

9,625.8 

8.2 

54.3 

277.1 

370.9 

1.930.1 

7.203.9 

491.8 

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

382,729 

(Includes  Columbia,  McDufTie  and 

Richmond  Counties.  Ga..  and  Aiken 

County,  S.C.) 

City  of  Augusta 

48,133 

3.368 

329 

3.039 

10 

28 

194 

97 

1.236 

1.632 

171 

Total  area  actually  reporting 

96.7% 

17,476 

1,945 

15,531 

33 

147 

578 

1,187 

5,548 

8.945 

1,038 

Estimated  total 

100.0% 

18.089 

1,986 

16,103 

34 

151 

595 

1,206 

5,725 

9.280 

1,098 

Rate  per  100,000  inhabitants 

4,726.3 

518.9 

4,207.4 

8.9 

39.5 

155.5 

315.1 

1,495.8 

2.424.7 

286.9 

See  footnotes  at  end  of  table. 


PPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1986  —  Continued 

Metropolitan  Statistical  Area 

Population 

Index 

Modified 
Index 

Violent 

w 

Murder 
negligent 
slaughter 

rape 

Robbery 

Aggra- 

Burglary 

theft 

theft 

ArW 

urora-Elgin,  11.  M.S.A.' 

332,253 

(Includes  Kane  and  Kendal] 

Counties.) 

City  of: 

Aurora* 

86,040 

5.174 

9 

172 

307 

1.541 

3.387 

246 

Elgin4 

67,835 

4,154 

5 

97 

162 

1.315 

2.615 

224 

Total  area  actually  reporting 

99.8% 

15,042 

19 

292 

674 

4,415 

9.919 

708 

Estimated  total 

100.0% 

15,064 

19 

293 

675 

4.420 

9.934 

710 

Rate  per  100.000  inhabitants 

5.7 

88.2 

203.2 

1.330.3 

2,989.9 

213.7 

ustin.  Tx.  M.S.A 

673,436 

(Includes  Hays,  Travis,  and 

Williamson  Counties.) 

City  of  Austin 

414,220 

45.856 

1,124 
1,257 

1.107 
2.049 

12,454 
16,594 

28,469 
37.252 

2.266 
2,890 

Total  area  actually   reporting 

100.0% 

60.616 

3,880 

56J36 

62 

512 

Rate  per   100.000  inhabitants 

9,001.0 

576.1 

8,424.9 

9.2 

76.0 

186.7 

304,3 

2,464.1 

5,531.6 

429.1 

akersfield,  Ca.  M.S.A 

486,886 

(Includes  Kem  County.) 

City  of  Bakersfield 

137,114 

14,634 

1,629 

13.005 

22 

93 

732 

782 

4.453 

7,489 

1.063 

Total  area  actually  reporting 

100.0% 

36,971 

4.451 

32,520 

54 

282 

1.331 

2,784 

10,952 

19,131 

2,437 

Rate  per  100.000  inhabitants 

7,593.4 

914.2 

6,679.2 

11.1 

57.9 

273.4 

571.8 

2.249.4 

3,929.3 

500.5 

altimore.  Md.  M.S.A 

2,303,385 

(Includes  Baltimore  City  and  Anne 

Arundel.  Baltimore.  Carroll.  Harford. 

Howard  and  Queen  Anne's  Counties  ) 

City  of  Baltimore 

783.542 

66.273 

15,229 

51,044 

240 

660 

7,989 

6.340 

14.321 

29,850 

6,873 

Total  area  actually  reporting 

100.0% 

147,850 

25.375 

122.475 

303 

1,124 

10,011 

13,937 

33,192 

75,941 

13,342 

Rate  per   100.000  inhabitants 

6.418.8 

1,101  6 

5,317.2 

13.2 

48.8 

434.6 

605.1 

1,441.0 

3,296.9 

579.2 

mgor,  Me.  M.S.A 

66,545 

(Includes  part  of  Penobscot  and 

aldo  Counties.) 

31,293 

2,121 

77 

2,044 

7 

27 

Total  area  actually  reporting 

100.0% 

3,069 

96 

2,973 

2 

30 

55 

631 

2|209 

133 

Rate  per   100.000  inhabitants 

4,611.9 

144.3 

4,467.7 

3.0 

45.1 

82.7 

948.2 

3,319.6 

199.9 

aton  Rouge,  La.  M.S.A 

543,151 

(Includes  Ascension.  East  Baton 

Rouge,  Livingston,  and  West  Baton 

Rouge  Parishes.) 

City  of  Baton  Rouge       

246,388 

35,642 

5,091 

30,551 

51 

181 

1,224 

3,635 

9.610 

18,775 

2,166 

Total  area  actually  reporting 

95.8% 

49,717 

6,395 

43,322 

70 

250 

1,454 

4,621 

13,378 

27,185 

2,759 

Estimated  total           

100.0% 

51,176 

6,536 

44,640 

71 

256 

1,479 

4,730 

13,664 

28,155 

2,821 

Rate  per  100.000  inhabitants 

9,422.1 

1,203.3 

8,218.7 

13.1 

47.1 

272.3 

870.8 

2,515.7 

5,183.6 

519.4 

ittle  Creek,  Mi.  M.S.A 

138,807 

(Includes  Calhoun  County.) 

City  of  Battle  Creek 

54,747 

5.466 

634 

4,832 

8 

52 

162 

412 

1,327 

3,377 

128 

Total  area  actually  reporting 

100.0% 

8,628 

953 

7,675 

14 

86 

216 

637 

2,139 

5.292 

244 

Rate  per  100.000  inhabitants 

6.215.8 

686.6 

5,529.3 

10.1 

62.0 

155.6 

458.9 

1,541.0 

3.812.5 

175.8 

eaumont-Port  Arthur,  Tx.  M.S.A 

408,873 

(Includes  Hardin.  Jefferson  and 

Orange  Counties.) 

City  of: 

Beaumont 

128,706 

10,892 

1,111 

9.781 

14 

105 

450 

542 

3,490 

5.736 

555 

Port  Arthur 

66.872 

3,820 

408 

3,412 

16 

28 

130 

234 

1.124 

2.165 

123 

Total  area  actually  reporting 

100.0% 

23,396 

2,127 

21,269 

45 

181 

753 

1.148 

7,421 

12.754 

1,094 

Rate  per  100.000  inhabitants 

5,722.1 

520.2 

5,201.9 

11.0 

44.3 

184.2 

280.8 

1,815.0 

3.119.3 

267.6 

eaver  County,  Pa.  M.S.A 

207,062 

(Includes  Beaver  County  ) 

Total  area  actually  reporting 

100.0% 

3.035 

252 

2.783 

3 

30 

42 

177 

752 

1,786 

245 

Rate  per   100.000  inhabitants 

1,465.7 

121.7 

1,344.0 

1.4 

14.5 

20.3 

85.5 

363.2 

862.5 

118.3 

eUingham,  Wa.  M.S.A 

114,765 

(Includes  Whatcom  County.) 

City  of  Bellingham 

46,306 

4,272 

159 

4.113 

24 

30 

105 

818 

3,063 

232 

Total  area  actually  reporting 

100.0% 

6,864 

274 

6,590 

1 

49 

35 

189 

1,632 

4.596 

362 

Rate  per  100.000  inhabitants 

5,980.9 

238.7 

5,742.2 

.9 

42.7 

30.5 

164.7 

1,422.0 

4,004.7 

315.4 

enton  Harbor,  Mi.  M.S.A 

164,223 

(Includes  Bernen  County.) 

City  of  Benton  Harbor 

14.532 

2,607 

593 

2,014 

2 

43 

77 

471 

768 

1,162 

84 

Total  area  actually  reporting 

100.0% 

11.297 

1,364 

9,933 

4 

164 

211 

985 

2.865 

6,658 

410 

Rate  per  100,000  inhabitants 

6.879.1 

830.6 

6,048.5 

2.4 

99.9 

128.5 

599.8 

1,744.6 

4,054.2 

249.7 

ergen-I'assaic.  N.J.  M.S.A 

1,317,766 

(Includes  Bergen  and  Passaic 

Counties.) 

Total  area  actually  reporting 

100.0% 

54,641 

4,705 

49,936 

39 

168 

2,256 

2.242 

10.421 

31.559 

7.956 

Rate  per  100.000  inhabitants 

4,146.5 

357.0 

3,789.4 

3.0 

12.7 

171.2 

170.1 

790.8 

2,394.9 

603.7 

Uings,  Mt.  M.S.A 

118,076 

(Includes  Yellowstone  County.) 

City  of  Billings 

69,407 

6,166 

141 

6,025 

4 

17 

46 

74 

1.083 

4,707 

235 

Total  area  actually  reporting 

100.0% 

7,597 

169 

7,428 

6 

23 

50 

90 

1389 

5.734 

305 

Rate  per  100,000  inhabitants 

6,434.0 

143.1 

6,290.9 

5.1 

19.5 

42.3 

76.2 

1,176.4 

4,856.2 

258.3 

337 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1986  —  Continued 


M^d 

Murder 

Metropolitan  Statistical  Area 

Population 

Index 

cote' 

■a? 

negligent 

Forcible 
rape 

Robbery 

Aggra- 

Burglary 

theft 

theft 

Arson' 

total 

slaughter 

Binghamton,  N.Y.  M.S.A 

265,558 

(Includes  Broome  and  Tioga 

Counties.) 

City  of  Binghamton 

54.614 

2,466 

60 

2,406 

2 

12 

25 

21 

321 

2.002 

83 

Total  area  actually  reporting 

99.3% 

7,167 

262 

6,905 

5 

41 

43 

173 

1.207 

5.462 

236 

Estimated  total    

100.0% 

7,226 

266 

6,960 

5 

41 

44 

176 

1.220 

5.500 

240 

Rate  per  100,000  inhabitants 

2.721.1 

100.2 

2.620.9 

1.9 

15.4 

16.6 

66.3 

459.4 

2.071.1 

90.4 

Birmingham,  Al.  M.S.A 

909,305 

(Includes  Blount,  Jefferson.  St.  Clair, 

Shelby  and  Walker  Counties.) 

City  of  Birmingham 

286,756 

28.466 

3.769 

24,697 

88 

325 

1,583 

1,773 

7,784 

13,405 

3,508 

Total  area  actually  reporting 

98.1% 

49,711 

6.506 

43,205 

129 

434 

2.118 

3,825 

13.408 

24,642 

5,155 

Estimated  total 

100.0% 

50,704 

6,646 

44,058 

131 

439 

2,141 

3,935 

13.631 

25,216 

5,211 

Rate  per  100.000  inhabitants 

5,576.1 

730.9 

4,845.2 

14.4 

48.3 

235.5 

432.7 

1.499.1 

2,773.1 

573.1 

Bismarck,  N.D.  M.S.A 

84,515 

(Includes  Burleigh  and  Morton 

Counties.) 

City  of  Bismarck 

46,833 

2.416 

27 

2,389 

14 

3 

10 

345 

1,942 

102 

Total  area  actually  reporting 

100.0% 

3,188 

65 

3.123 

19 

6 

40 

441 

2.543 

139 

Rate  per  100,000  inhabitants 

3,772.1 

76.9 

3,695.2 

22.5 

7.1 

47.3 

521.8 

3,008.9 

164.5 

Bloomington.  In.  M.S.A 

100,967 

(Includes  Monroe  County.) 

City  of  Bloomington 

52,277 

1.372 

97 

1,275 

1 

4 

15 

77 

222 

962 

91 

Total  area  actually  reporting 

100.0% 

3.636 

236 

3,400 

3 

11 

24 

198 

765 

2,443 

192 

Rate  per  100,000  inhabitants 

3,601.2 

233.7 

3.367.4 

3.0 

10.9 

23.8 

196.1 

757.7 

2.419.6 

190.2 

Bloomington-Normal,  11.  M.S.A.4 

124,535 

(Includes  McLean  County.) 

City  of: 

Bloomington4 

46,774 

2.858 

43 

163 

658 

2,099 

101 

Normal4 

37.712 

1,299 

9 

50 

390 

871 

38 

Total  area  actually  reporting 

100.0% 

5,081 

1 

55 

234 

1.373 

3,550 

158 

Rate  per   100,000  inhabitants 

4,080.0 

44.2 

187.9 

1.102.5 

2.850.6 

126.9 

Boise,  Id.  M.S.A 

189,707 

(Includes  Ada  County.) 

City  of  Boise 

107.434 

7,559 

418 

7,141 

56 

56 

306 

2,055 

4.754 

332 

Total  area  actually  reporting 

100.0% 

10,887 

617 

10,270 

5 

79 

67 

466 

2,958 

6,856 

456 

Rate  per  100.000  inhabitants 

5,738.8 

325.2 

5,413.6 

2.6 

41.6 

35.3 

245.6 

1,559.2 

3,614.0 

240.4 

Boston,  Ma.  M.S.A 

2,848,226 

(Includes  part  of  Bristol,  Essex, 

Middlesex,  Norfolk.  Plymouth  and 

Worcester  Counties,  and  all  of  Suffolk 

County.) 

City  of  Boston       

574.107 

69,007 

12.395 

56,612 

105 

516 

6,225 

5,549 

10,485 

26,553 

19,574 

Total  area  actually  repomng 

89.4% 

141,087 

18,897 

122,190 

145 

863 

8,185 

9.704 

26,672 

62.226 

33,292 

Estimated  total    

100.0% 

151,035 

19,628 

131,407 

150 

910 

8,364 

10,204 

29,042 

67,337 

35,028 

Rate  per  100,000  inhabitants 

5,302.8 

689.1 

4,613.6 

5.3 

31.9 

293.7 

358.3 

1,019.7 

2,364.2 

1,229.8 

Boulder-Longmont,  Co.  M.S.A 

214,662 

(Includes  Boulder  County.) 

City  of: 

Boulder       

79.875 

6,466 

213 

6.253 

23 

56 

134 

1.272 

4.663 

318 

Longmont 

50,023 

3,475 

189 

3,286 

4 

11 

27 

147 

611 

2,559 

116 

Total  area  actually  reporting 

100.0% 

14,178 

716 

13,462 

5 

80 

104 

527 

2.945 

9,905 

612 

Rate  per   100.000  inhabitants 

6,604.8 

333.5 

6,271.3 

2.3 

37.3 

48.4 

245.5 

1.371.9 

4,614.2 

285.1 

Bradenton,  Fl.  M.S.A 

180,325 

(Includes  Manatee  County.) 

City  of  Bradenton 

37.897 

4,650 

571 

4,079 

3 

18 

176 

374 

1.400 

2.497 

182 

Total  area  actually  reporting 

100.0% 

17,716 

2,084 

15,632 

10 

127 

430 

1,517 

4.989 

9.739 

904 

Rate  per  100,000  inhabitants 

9,824.5 

1.155.7 

8,668.8 

5.5 

70.4 

238.5 

841.3 

2,766.7 

5,400.8 

501.3 

Brazoria,  Tx.  M.S.A 

194,185 

(Includes  Brazona  County.) 

Total  area  actually  repotling 

100.0% 

7.913 

478 

7,435 

21 

52 

87 

318 

2.175 

4,743 

517 

Rate  per  100,000  inhabitants 

4,075.0 

246.2 

3,828.8 

10.8 

26.8 

44.8 

163.8 

1.120.1 

2.442.5 

266.2 

Bremerton,  Wa.  M.S.A 

169,116 

(Includes  Kitsap  County.) 

City  of  Bremerton 

36.139 

2.300 

188 

2,112 

3 

45 

41 

99 

479 

1.545 

88 

Total  area  actually  reporting 

100.0% 

6.702 

438 

6.264 

6 

85 

57 

290 

1.859 

4.157 

248 

Rate  per  100,000  inhabitants 

3,963.0 

259.0 

3,704.0 

3.5 

50.3 

33.7 

171.5 

1,099.2 

2,458.1 

146.6 

See  footnotes  at  end  of  table. 


338 


UTENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1986  —  Continued 

Metropolitan  Statistical  Area 

Population 

3? 

Modified 
Index 

s» 

w 

negligent 

slaughter 

Forcible 
rape 

Robbery 

Aggra- 

Burglary 

UET 

vehicle 
theft 

w 

ridgeport-Milford,  Ct.  M.S.A 

457,812 

(Includes  part  of  Fairfield  and  New 

Haven  Counties.) 

City  of: 

Bridgeport 

143,708 

14,012 

1,987 

12,025 

40 

75 

1,043 

829 

3,313 

6,256 

2.456 

Milford 

52,069 

2.111 

79 

2,032 

1 

10 

34 

34 

405 

1.255 

372 

Total  area  actually  reporting 

100.0% 

24,304 

2.439 

21,865 

46 

105 

1.201 

1.087 

5.789 

12,428 

3.648 

Rate  per  100,000  inhabitants 

5.308.7 

532.8 

4,776.0 

10.0 

22.9 

262.3 

237.4 

1,264.5 

2.714.7 

796.8 

ristol,  Ct.  M.S.A 

69,775 

(Includes  part  of  Hartford  and 

Litchfield  Counties.) 

City  of  Bristol 

58,708 

1,724 

194 

1,530 

2 

22 

Total  area  actually  reporting 

100.0% 

1,956 

208 

1,748 

5 

24 

179 

585 

1  065 

98 

Rate  per  100,000  inhabitants 

2,803.3 

298.1 

2.505.2 

7.2 

34.4 

256.5 

838.4 

1,526.3 

140.5 

rockton,  Ma.  M.S.A 

196,477 

(Includes  part  of  Bristol,  Norfolk  and 

Plymouth  Counties.) 

City  of  Brockton 

96,461 

9,000 

938 

8,062 

4 

59 

366 

509 

2,470 

3,299 

2,293 

Total  area  actually  reporting 

83.0% 

10,213 

1,054 

9,159 

4 

67 

375 

608 

2,816 

3,840 

2,503 

Estimated  total 

100.0% 

11,309 

1,135 

10,174 

5 

72 

395 

663 

3,077 

4,403 

2,694 

Rate  per  100,000  inhabitants 

5,755.9 

577.7 

5.178.2 

2.5 

36.6 

201.0 

337.4 

1.566.1 

2,241.0 

1,371.2 

rownsville-Harlingen,  Tx.  M.S.A 

251,547 

(Includes  Cameron  County.) 

City  of: 

Brownsville 

98,783 

9.065 

1,301 

7.764 

6 

24 

155 

1,116 

2.098 

4,568 

1.098 

Harlingen  

54,112 

4,236 

204 

4,032 

1 

32 

2,767 
9,394 

Total  area  actually  reporting 

100.0% 

17,694 

1,871 

15,823 

15 

45 

228 

1.583 

4,830 

1,599 

Rate  per  1 00,000  inhabitants 

7,034.1 

743.8 

6,290.3 

6.0 

17.9 

90.6 

629.3 

1.920.1 

3,734.5 

635.7 

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

122,445 

(Includes  Brazos  County) 

City  of: 

Bryan 

61,550 

4,550 

440 

4.110 

4 

46 

80 

310 

1,382 

2,522 

206 

College  Station 

47,741 

3,066 

129 

2.937 

12 

30 

87 

535 

2,261 

141 

Total  area  actually  reporting 

100.0% 

9,103 

617 

8,486 

7 

60 

115 

435 

2,192 

5.886 

408 

Rate  per  100,000  inhabitants 

7,434.4 

503.9 

6,930.5 

5.7 

49.0 

93.9 

355.3 

1,790.2 

4,807.1 

333.2 

uffaio,  N.Y.  M.S.A 

988,343 

(Includes  Erie  County.) 

City  of  Buffalo 

339,685 

3,755 
5.682 

21.134 
39,476 

1,533 
1,753 

1,906 
3,554 

6,729 
11,078 

11.303 
24,019 

3,102 
4,379 

Total  area  actually  reporting 

98.4% 

4s!l58 

42 

333 

Estimated  total 

100.0% 

45,701 

5,724 

39,977 

42 

335 

1.767 

3.580 

11,192 

24,370 

4,415 

Rate  per  100,000  inhabitants 

4,624.0 

579.2 

4,044.9 

4.2 

33.9 

178.8 

362.2 

1.132.4 

2,465.7 

446.7 

urlington,  N.C.  M.S.A 

104,114 

(Includes  Alamance  County.) 

City  of  Burlington 

38,308 

1.722 

151 

1.571 

2 

11 

21 

117 

352 

1,142 

77 

Total  area  actually  reporting 

98.1% 

3,484 

309 

3.175 

5 

22 

36 

246 

937 

2.078 

160 

Estimated  total 

100.0% 

3.612 

325 

3,287 

5 

23 

38 

259 

967 

2.154 

166 

Rate  per  100.000  inhabitants 

3,469.3 

312.2 

3,157.1 

4.8 

22.1 

36  5 

248.8 

928.8 

2,068.9 

159.4 

urlington,  Vt.  M.S.A 

103,531 

(Includes  part  of  Chilttenden,  Franklin 

and  Grand  Isle  Counties.) 

City  of  Burlington 

38,599 

4,089 

96 

3.993 

20 

27 

47 

851 

2,994 

148 

Total  area  actually  reporting 

100.0% 

7,647 

167 

7,480 

2 

30 

57 

78 

1,529 

5,629 

322 

Rate  per  100,000  inhabitants 

7,386.2 

7,224.9 

1.9 

29.0 

55.1 

75.3 

1,476,9 

5.437.0 

311.0 

anton,  Oh.  M.S.A 

404,215 

(Includes  Carroll  and  Stark  Counties.) 

City  of  Canton 

89.098 

5,742 

641 

5,101 

8 

67 

269 

297 

1.448 

3,265 

388 

Total  area  actually  reporting 

93.5% 

14,478 

1,419 

13.059 

10 

115 

426 

868 

3,643 

8.511 

905 

Estimated  total 

100.0% 

15.177 

1.472 

13,705 

11 

120 

437 

904 

3,806 

8.947 

952 

Rate  per  100,000  inhabitants 

3,754.7 

364.2 

3,390.5 

2.7 

29.7 

108.1 

223.6 

941.6 

2,213.4 

235.5 

asper,  Wy.  M.S.A 

74,338 

(Includes  Natrona  County.) 

City  of  Casper 

49,160 

3.143 

203 

2.940 

13 

30 

160 

770 

2,042 

128 

Total  area  actually  reporting 

100.0% 

4,271 

269 

4,002 

4 

15 

39 

211 

1,148 

2,651 

203 

Rate  per   100,000  inhabitants 

5,745.4 

3619 

5,383.5 

5.4 

20.2 

52.5 

283.8 

1,544.3 

3,566.1 

273.1 

*dar  Rapids,  la.  M.S.A 

166,122 

(Includes  Linn  County.) 

City  of  Cedar  Rapids 

106,482 

8,613 

233 

8,380 

2 

12 

109 

110 

1.845 

6.145 

390 

Total  area  actually  reporting 

100.0% 

10,249 

422 

9,827 

2 

17 

115 

288 

2.218 

7.173 

436 

Rate  per  100,000  inhabitants 

6,169.6 

254.0 

5,915.5 

10  2 

69.2 

1734 

1,335.2 

4,317.9 

262.5 

nampaign-Urbana-Rantoul,  11. 

I.S.A.4 

170,870 

(Includes  Champaign  County.) 

City  of: 

Champaign4 

60,572 

5,129 

158 

432 

1.610 

3.219 

300 

34,327 

1.762 

j 

124 

1,236 

Rantoul4 

20,172 

470 

4 

88 

19 

Total  area  actually  reporting 

100.0% 

9,460 

3 

233 

644 

2.730 

6,196 

534 

Rate  per  100,000  inhabitants 

5,536.4 

1.8 

136.4 

3769 

1,597 .7 

3,626.1 

312.5 

See  footnotes  at  end  of  table 


APPENDIX  IV  — Index  of  Crime,  Metropolitan  Statistical  Areas,  1986  —  Continued 


Metropolitan  Statistical  Area 

Population 

5? 

Modified 

1» 

W 

negligent 

Frar 

Robbery 

Aggra- 

Burglary 

theft 

5 

Ann 

slaughter 

Charleston,  S.C.  M.S.A 

483,660 

(Includes  Berkeley,  Charleston,  and 

Dorchester  Counties.) 

City  of  Charleston  

68,690 

5.181 

737 

4,444 

10 

45 

165 

517 

1.033 

3,184 

227 

Total  area  actually  reporting 

100.0% 

26,248 

3,417 

22,831 

36 

268 

616 

2.497 

6.379 

14.899 

1.553 

Rate  per   100,000  inhabitants 

5,427.0 

706.5 

4,720.5 

7.4 

55.4 

127.4 

516.3 

1.3189 

3,080.5 

321.1 

Charleston,  W.V.  M.S.A 

261,660 

(Includes  Kanawha  and  Putnam 

Counties.) 

City  of  Charleston 

58,358 

6,874 

499 

6,375 

2 

58 

201 

238 

1.433 

4,598 

344 

Total  area  actually  reporting 

100.0% 

10,612 

716 

9,896 

13 

83 

250 

370 

2,502 

6,743 

651 

Rate  per  100,000  inhabitants 

4.055.6 

273.6 

3,782.0 

5.0 

31.7 

95.5 

1414 

956.2 

2,577.0 

248.8 

Charlotte-Gastonia-Rock  Hill, 

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

1,058,815 

(Includes  Cabarrus,  Gaston,  Lincoln, 

Mecklenburg,  Rowan,  and  Union 

Counties,  N.C.,  and  York  County. 

S.C.) 

City  of: 

Charlotte  

339,767 

35.381 

5,487 

29,894 

53 

305 

1.454 

3.675 

9,598 

18.637 

1.659 

Gastoma    

49,656 

5,366 

530 

4,836 

8 

21 

161 

340 

1,319 

3,233 

284 

Rock  Hill       

38,622 

3,676 

497 

3.179 

4 

20 

65 

408 

709 

2.300 

170 

Total  area  actually  reporting 

98.6% 

66.602 

8,645 

57,957 

92 

467 

2.006 

6,080 

18,657 

36,225 

3.075 

Estimated  total 

100.0% 

67,572 

8,764 

58,808 

93 

472 

2,023 

6,176 

18,887 

36.802 

3,119 

Rate  per  100.000  inhabitants 

6.381.9 

827.7 

5,554.1 

8.8 

44.6 

191.1 

583.3 

1.783.8 

3,475.8 

294.6 

Charlottesville,  Va.  M.S.A 

121,440 

(Includes  Albemarle,  Fluvanna,  and 

Greene  Counties  and  Charlottesville 

City.) 

City  of  Charlottesville 

41,681 

3.018 

221 

2.797 

2 

28 

50 

141 

469 

2.182 

146 

Total  area  actually  reporting 

100.0% 

5.504 

358 

5,146 

5 

37 

63 

253 

812 

4,089 

245 

Rate  per  100,000  inhabitants 

4,532.3 

294.8 

4,237.5 

4.1 

30.5 

51.9 

208.3 

668.6 

3.367.1 

201.7 

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

432,656 

(Includes  Hamilton,  Marion  and 

Sequatchie  Counties,  Tn..  and  Catoosa, 

Dade  and  Walker  Counties,  Ga.) 

City  of  Chattanooga 

167,406 

13,283 

1,787 

11,496 

25 

130 

449 

1.183 

2,803 

7.074 

1,619 

Total  area  actually  reporting     

94.0% 

18,881 

2,220 

16,661 

35 

159 

506 

1.520 

4.611 

9.954 

2,096 

Estimated  total 

100.0% 

19,512 

2,272 

17.240 

37 

166 

515 

1,554 

4,848 

10.234 

2.158 

Rate  per  100,000  inhabitants 

4,509.8 

525.1 

3,984.7 

38.4 

119.0 

359.2 

1,120.5 

2.365.4 

498.8 

Cheyenne,  Wy.  M.S.A 

71,723 

(Includes  Laramie  County.) 

City  of  Cheyenne 

50,495 

2,945 

75 

2.870 

7 

10 

13 

45 

431 

2,361 

78 

Total  area  actually  reporting 

100.0% 

3.548 

156 

3,392 

9 

18 

14 

115 

551 

2,741 

100 

Rate  per  100,000  inhabitants 

4,946.8 

217.5 

4,729.3 

12.5 

25.1 

19.5 

160.3 

768.2 

3,821.6 

139.4 

Chicago,  11.  M.S.A.4 

6,087,473 

(Includes  Cook,  Du  Page  and 

McHenry  Counties.) 

City  of  Chicago4 

3.003,105 

226,536 

744 

30,918 

33.529 

56,274 

121,751 

48,511 

Total  area  actually  reporting 

100.0% 

351,328 

815 

33,378 

37,713 

82.765 

205,619 

62,944 

Rate  per  100,000  inhabitants 

5,771.3 

13.4 

548.3 

619.5 

1,359.6 

3,377.7 

1.034.0 

Chico,  Ca.  M.S.A 

166,935 

(Includes  Butte  County.) 

City  of  Chico 

30,830 

3.371 

319 

178 
548 

Total  area  actually  reporting 

100.0% 

10,134 

845 

9^89 

7 

74 

88 

676 

2,821 

5^920 

Rate  per  100,000  inhabitants 

6,070.6 

506.2 

5,564.4 

4.2 

44  .1 

52.7 

404.9 

1.689.9 

3,546.3 

328.3 

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

1,408.757 

(Includes  Clermont,  Hamilton  and 

Warren  Counties,  Oh.;  Boone, 

Campbell  and  Kenton  Counties,  Ky.; 

and  Dearborn  County,  In.) 

City  of  Cincinnati 

370,482 

27,699 

3,340 

24,359 

Total  area  actually  reporting 

93.2% 

64,678 

5,604 

59,074 

77 

489 

IJ43 

3^95 

12,650 

43.431 

2^93 

Estimated  total 

100.0% 

68,284 

5,821 

62.463 

79 

506 

1,796 

3.440 

13,344 

45.837 

3,282 

Rale  per   100,000  inhabitants 

4,847.1 

413.2 

4,433.9 

5.6 

35.9 

127.5 

244.2 

947.2 

3,253.7 

2330 

CiarkSYille-Hopkinsville,  Tn.-Ky. 

M.S.A 

154,290 

(Includes  Christian  County,  Ky.  and 

Montgomery  County,  Tn.) 

Clarksville 

59.602 

2,825 

318 

2,507 

6 

28 

56 

228 

846 

1,461 

200 

Hopkinsville 

27,901 

1,737 

1.012 
3,243 

66 
366 

Total  area  actually  reporting 

99.1% 

6.075 

695 

5J80 

16 

52 

124 

503 

1.771 

Estimated  total 

100.0% 

6,143 

3,289 
2,131.7 

369 
239.2 

Rate  per  100,000  inhabitants 

3.981.5 

453.7 

3.527.8 

10.4 

33.7 

81.0 

328.6 

1,156.9 

APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1986  —  Continued 

Metropolitan  Statistical  Area 

Population 

total 

Modified 

Violent 

Property 

Murder 
negligent 
slaughter 

F°r^'e 

Robbery 

Aggra- 

Burglary 

theft 

theft 

Arson. 

Cleveland,  Oh.  M.S.A 

1,866,985 

(Includes  Cuyahoga.  Geauga,  Lake 

and  Medina  Counties.) 

City  of  Cleveland 

546,544 

44.235 

7.115 

37,120 

124 

773 

3.698 

2,520 

11.928 

13.453 

11,731 

Total  area  actually  reporting 

86.5% 

80.264 

9.060 

71.204 

155 

934 

4.421 

3,550 

18.832 

35,333 

17,039 

Estimated  total 

100.0% 

88.203 

9,603 

78,600 

lbl 

982 

4.544 

3,916 

20.483 

40.508 

17.609 

Rate  per   100,000  inhabitants 

4,724.4 

514.4 

4,210.0 

8.6 

52.6 

243.4 

209.7 

1.017,1 

2,169.7 

143.: 

Colorado  Springs,  Co.  M.S.A 

358,774 

(Includes  El  Paso  County.) 

City  of  Colorado  Springs 

254,629 

22,833 

1.555 

21,278 

23 

180 

596 

756 

6.361 

13,749 

1,168 

Total  area  actually  reporting 

100.0% 

26,743 

1,790 

24,953 

25 

247 

648 

870 

7.533 

16,048 

1,372 

Rate  per  100.000  inhabitants 

7,454.0 

498.9 

6,955.1 

7.0 

68.8 

242.5 

2.099.7 

4,473.0 

382.4 

Columbia,  Mo.  M.S.A 

107,314 

(Includes  Boone  County.) 

City  of  Columbia 

64,031 

4.310 

232 

4,078 

1 

19 

53 

159 

734 

3,224 

120 

Total  area  actually  reporting 

100,0% 

5.970 

309 

5,661 

3 

28 

55 

223 

1,115 

4.392 

154 

Rate  per  100,000  inhabitants 

5,563.1 

287  9 

5.275.2 

2.8 

26.1 

51.3 

207  8 

1,039.0 

4,092.7 

143.5 

Columbia,  S.C.  M.S.A 

443.886 

(Includes  Lexington  and  Richland 

Counties.) 

City  of  Columbia 

100,959 

12,168 

1,514 

2,668 
7.067 

Total  area  actually  reporting 

100.0% 

30,608 

3.918 

26^90 

35 

234 

854 

2.795 

nisio 

1.813 

Rate  per   100.000  inhabitants 

6,895.5 

882.7 

6,012.8 

7.9 

52.7 

192.4 

629.7 

1.592.1 

4,012.3 

408.4 

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

254,225 

(Includes  Chattahoochee  and 

Muscogee  Counties,  Ga..  and  Russell 

County,  Al.) 

City  of  Columbus 

182,836 

9.473 

798 

8,675 

28 

95 

349 

326 

2.167 

5,177 

531 

Total  area  actually  reporting 

100.0% 

11,562 

1.178 

10,384 

35 

122 

385 

636 

2,646 

7.071 

667 

Rate  per  100.000  inhabitants 

4,547.9 

463.4 

4,084.6 

13.8 

48.0 

151.4 

250.2 

1.040.8 

2.781.4 

262.4 

Columbus,  Oh.  M.S.A 

1,279,017 

(Includes  Delaware.  Fairfield. 

Franklin,  Licking,  Madison.  Pickaway 

and  Union  Counties.) 

City  of  Columbus 

566,115 

46,552 

5.148 

41,404 

78 

550 

2.255 

2,265 

12,121 

26,491 

2,792 

Total  area  actually  reporting 

93.9% 

71,863 

7.230 

64.633 

101 

735 

2,696 

3,698 

17,342 

43,295 

3,996 

Estimated  total 

100.0% 

74,667 

7,408 

67.259 

102 

750 

2,739 

3,817 

17.881 

45,171 

4,207 

Rate  per  100,000  inhabitants 

5.837.8 

579.2 

5,258.6 

8.0 

58.6 

214.1 

298.4 

1,398.0 

3,531.7 

328.9 

Corpus  Christi,  Tx.  M.S.A 

378,078 

(Includes  Nueces  and  San  Patricio 

Counties.) 

City  of  Corpus  Christi 

269,260 

23,583 

1,355 

22,228 

35 

204 

362 

754 

6.247 

14.^4: 

1,239 

Total  area  actually  reporting 

100.0% 

27,441 

1,664 

25.777 

44 

222 

394 

1.004 

7.533 

16,829 

1,415 

Rate  per  100,000  inhabitants 

7,258.0 

440.1 

6,817.9 

11.6 

58.7 

104.2 

265.6 

1,9924 

4.451  : 

374.3 

Cumberle-i,  Mu.-W.V.  M.S.A 

106,059 

(Includes  Allegany  County,  Md.,  and 

Mineral  County,  W.V.) 

City  of  Cumberland 

24,720 

1.063 

34 

1.029 

1 

7 

26 

213 

786 

30 

Total  area  actually  reporting 

100.0% 

2.352 

135 

2,217 

2 

12 

15 

106 

519 

1,621 

77 

Rate  per  100,000  inhabitants 

2,217.6 

127.3 

2,090.3 

1.9 

11.3 

14.1 

99.9 

489.4 

1,528.4 

72.6 

Dallas,  Tx.  M.S.A 

2,239,832 

(Includes  Collin,  Dallas,  Denton,  Ellis, 

Kaufman  and  Rockwall  Counties.) 

City  of  Dallas 

1,016.488 

153.020 

19,275 

134,651 

347 

1,255 

9,289 

8.384 

37,703 

80.734 

16.214 

Total  area  actually  reporting 

100.0% 

243,321 

23,900 

219,421 

446 

1,675 

10.719 

11.060 

61,770 

134.660 

22,991 

Rate  per   100,000  inhabitants 

10,863.4 

1,067.0 

9.796.3 

19.9 

74.8 

478.6 

413.8 

2,757.8 

6.012.1 

1.026.5 

Danbury,  Ct.  M.S.A 

157,608 

(Includes  part  of  Fairfield  and 

Litchfield  Counties.) 

City  of  Danbury 

63,937 

2,543 

90 

2,453 

2 

13 

44 

31 

534 

1,733 

186 

Total  area  actually  reporting 

100.0% 

4,279 

194 

4,085 

4 

25 

57 

108 

1,017 

2,758 

310 

Rate  per   100,000  inhabitants 

2,715.0 

2,591.9 

2.5 

15.9 

36.2 

68.5 

645.3 

196.7 

Danville,  Va.  M.S.A 

114,191 

(Includes  Pittsylvania  County  and 

Danville  City ) 

City  of  Danville  

45,873 

1,479 

75 

1,404 

12 

17 

40 

220 

1,126 

58 

Total  area  actually  reporting 

100.0% 

2,574 

145 

2,429 

10 

22 

18 

95 

597 

1,753 

Rate  per   100.000  inhabitants 

2,254.1 

127.0 

2,127  1 

8.8 

19.3 

15.8 

83.2 

522.8 

1.535.1 

69.2 

Davenport-Rock  Island-Moline,  Ia.-Il. 

M.S.A." 

378,455 

(Includes  Scott  County.  la.,  and 

Henry  and  Rock  Island  Counties,  II.) 

City  of: 

Davenport 

100.073 

6,667 

130 

862 

1.850 

4,593 

224 

Rock  Island4 

45,637 

2,221 

65 

205 

330 

1,794 

97 

Mohne4 

46,127 

2,058 

1 

10 

70 

432 

1,555 

71 

Total  area  actually  reporting 

100.0% 

15.593 

3 

252 

1.301 

3.755 

11.292 

546 

Rate  per  100,000  inhabitants 

4,120.2 

.8 

66.6 

343.8 

192: 

2,1837 

144.3 

See  footnotes  at  end  of  table. 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  A 

reas,  1986  —  Continued 

Metropolitan  Statistical  Area 

Population 

s? 

Modified 

S3 

w 

negligent 
slaughter 

Forcible 
rape 

Robbery 

s 

Burglary 

*zr 

then 

.son. 

Dayton-Springfield,  Oh.  M.S.A 

930,746 

(Includes  Clark,  Greene,  Miami  and 

Montgomery  Counties.) 

City  of: 

181,159 

16,569 

2.602 

13.967 

51 

219 

1,428 

904 

4,026 

8,992 

949 

Springfield 

70,079 

6,158 

1,131 

5.027 

180 

866 

1.311 

3,405 

311 

Total  area  actually  reporting 

94.4% 

45,492 

5.214 

40,278 

68 

439 

1,983 

2,724 

9.674 

28.091 

2.513 

Estimated  total  

100.0% 

47,582 

5,338 

42,244 

69 

448 

2,014 

2,807 

10,049 

29,519 

2,676 

Rate  per   100,000  inhabitants 

5,112.2 

573.5 

4,538.7 

7.4 

48.1 

216.4 

301.6 

1,079.7 

3,171.5 

287.5 

Davtona  Beach,  Fl.  M.S.A 

319,477 

(Includes  Volusia  County.) 

City  of  Daytona  Beach 

60,020 

9.120 

1,204 

7,916 

10 

60 

410 

724 

2,550 

4.906 

460 

Total  area  actually  reporting 

100.0% 

23,429 

2,316 

21.113 

35 

171 

670 

1.440 

7.212 

12.809 

1.092 

Rate  per  100,000  inhabitants 

7,333.5 

724.9 

6.608.6 

1 10 

53.5 

209.7 

450  7 

2.257.4 

4,009.4 

341.8 

Denver,  Co.  M.S.A 

1,626,635 

(Includes  Adams,  Arapahoe.  Denver, 

Douglas  and  Jefferson  Counties.) 

City  of  Denver 

518,625 

55,671 

4,650 

51,021 

91 

424 

2,099 

2,036 

17,182 

27,238 

6.601 

Total  area  actually  reporting 

100.0% 

133,297 

10,727 

122,570 

138 

760 

3,527 

6,302 

36,216 

74,717 

11.637 

Rate  per  100,000  inhabitants 

8,194.6 

659.5 

7.535.2 

8.5 

46.7 

216.8 

387.4 

2,226.4 

4.593.3 

715.4 

Des  Moines,  la.  M.S.A 

369,470 

(Includes  Dallas.  Polk  and  Warren 
Counties.) 

City  of  Des  Moines 

186,991 

21,683 

1,290 

20,393 

18 

89 

442 

741 

4.884 

14.696 

813 

Total  area  actually  reporting 

100.0% 

30.438 

1.793 

28,645 

20 

103 

500 

1,170 

6,991 

20,514 

1.140 

Rate  per   100.000  inhabitants 

8,238.3 

485.3 

7,753.0 

5.4 

27.9 

135.3 

316.7 

1,892.2 

5,552.3 

308.6 

Detroit,  Mi.  M.S.A 

4,349,692 

(Includes  Lapeer,  Livingston,  Macomb. 

Monroe,  Oakland,  Saint  Clair  and 

Wayne  Counties.) 

City  of  Detroit  

1,096,947 

140,415 

27,277 

113,138 

648 

1.351 

16.421 

8,857 

38,975 

42.250 

31.913 

Total  area  actually  reporting 

97.1% 

327,809 

44,616 

283.193 

781 

2,749 

21,945 

19,141 

76,359 

147.571 

59,263 

Estimated  total 

100.0% 

335,275 

45,285 

289,990 

786 

2.798 

22.150 

19,551 

77,807 

151,980 

60,203 

Rate  per  100.000  inhabitants 

7,708.0 

1,041.1 

6,666.9 

18.1 

64.3 

509,2 

449.5 

1,788.8 

3.494.0 

1,384.1 

Dothan,  Al.  M.S.A 

126,073 

(Includes  Dale  and  Houston 
Counties.) 

City  of  Dothan 

52,871 

3.815 

379 

3,436 

3 

19 

61 

296 

759 

2,563 

114 

Total  area  actually  reporting 

98.2% 

5,686 

726 

4,960 

5 

41 

90 

590 

1.164 

3.608 

188 

Estimated  total 

100.0% 

5,815 

744 

5,071 

5 

42 

93 

604 

1,193 

3.683 

195 

Rate  per  100,000  inhabitants 

4,612.4 

590.1 

4.022.3 

4.0 

33.3 

73.8 

479.1 

946.3 

2,921.3 

154.7 

Dubuque,  la.  M.S.A 

89,939 

(Includes  Dubuque  County.) 

City  of  Dubuque    

59,016 

3.017 

131 

2,886 

2 

19 

110 

684 

2,064 

138 

Total  area  actually  reporting 

100.0% 

3.523 

171 

3,352 

2 

19 

150 

763 

2,439 

150 

Rate  per  100.000  inhabitants 
Duluth,  Mn.-Wi.  M.S.A 

3.917.1 

190.1 

3.727.0 

2.2 

166.8 

848.4 

2,711.8 

166.8 

256,597 

(Includes  Saint  Louis  County.  Mn. 

and  Douglas  County,  Wi.) 

City  of  Duluth 

86.690 

4,741 

222 

4,519 

1 

47 

54 

120 

1.223 

3,029 

267 

Total  area  actually  reporting 

100.0% 

9,803 

345 

9,458 

3 

86 

78 

178 

2,539 

6,421 

498 

Rate  per  100,000  inhabitants 

3,820.4 

134.5 

3,685.9 

1.2 

33.5 

30.4 

69.4 

989.5 

2,502.4 

194.1 

Eau  Claire,  Wi.  M.S.A 

136,586 

(Includes  Chippewa  and  Eau  Claire 
Counties.) 

City  of  Eau  Claire 

54.113 

2.074 

68 

2,906 

3 

4 

7 

54 

531 

2,303 

72 

Total  area  actually  reporting 

100.0% 

4,908 

109 

4,799 

4 

9 

9 

87 

918 

3,764 

117 

Rate  per  100,000  inhabitants 

3,593.3 

79.8 

3,513.5 

2.9 

6.6 

66 

63.7 

672.1 

2.755.8 

85.7 

Elkhart-Goshen,  In.  M.S.A 

142,362 

(Includes  Elkhart  County.) 

City  of: 

Elkhart 

43.146 

3,353 

108 

3,245 

5 

22 

51 

30 

716 

2,388 

141 

Goshen     

20.408 

933 

14 

919 

3 

4 

7 

103 

772 

44 

Total  area  actually  reporting 

100.0% 

6,216 

343 

5,873 

7 

34 

71 

231 

1,295 

4,290 

288 

Rate  per  100,000  inhabitants 

4,366.3 

240.9 

4.125.4 

4.9 

23.9 

49.9 

162.3 

909.7 

3.013.4 

2023 

APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1986  —  Continued 


Metropolitan  Si.iiMk.il 


Elmira,  N.Y.  M.S.A 

(Includes  Chemung  County.) 

City  of  Elmira 

Total  area  actually  reporting 

Estimated  total     ..... 

Rate  per   100.000  inhabitants 

El  Paso,  Tx.  M.S.A 

(Includes  El  Paso  County.) 
City  of  El  Paso 
Total  area  actually  reporting 
Rate  per  100.000  inhabitants 

Enid,  Ok.  M.S.A 

(Includes  Garfield  County.) 

City  of  Enid 

Total  area  actually  reporting 
Rate  per   100.000  inhabitants 

Erie,  Pa.  M.S.A 

(Includes  Erie  County.) 
City  of  Ene 

Total  area  actually  reporting 
Rate  per  100,000  inhabitants 

Eugene-Springfield,  Or.  M.S.A 

(Includes  Lane  County.) 
City  of: 

Springfield  

Total  area  actually  reporting 

Estimated  total         

Rate  per   100.000  inhabitants 

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

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

City  of  Evansville 

Total  area  actually  reporting 

Estimated  total 

Rate  per  100,000  inhabitants 

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

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

City  of  Fall  River 

Total  area  actually  reporting 

Estimated  total 

Rate  per   100.000  inhabitants 
Fargo-Moorhead,  N.D.-Mn.  M.S.A... 
(Includes  Cass  County,  N.D.,  and 
Clay  County,  Mn.) 

City  of: 

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 
FayettevUle-Springdale,  Ar.  M.S.A... 
(Includes  Washington  County.) 
City  of: 

Fayetteville 

Springdale 

Total  area  actually  reporting 
Rate  per  100,000  inhabitants 

FitchbuTg-Leominster,  Ma.  M.S.A 

(Includes  part  of  Middlesex  and 
Worcester  Counties.) 
City  of: 

Fitchburg 

Leominster  

Total  area  actually  reporting 
Rate  per  100,000  inhabitants 

Flint,  Mi.  M.S.A 

(Includes  Genesee  County.) 

City  of  Flint  

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


33.529 
89.3% 
100.0% 

549,299 

2.160 

3,490 

3.833 

4,092.2 

483,925 
100.0% 

65,546 

37.773 
40.104 
7,300.9 

52,614 
100.0% 

281,858 

4,385 
4.624 
7,054.6 

117,350 
100.0% 

268,756 

5,642 
9,422 
3,342.8 

102.502 
40,348 
99.8% 

8.649 
3.689 
16,354 

130.477 
77.2% 
100.0% 


36,056 
25,325 
100.0% 


8,295 
8.895 
5.643.2 


23.582 
37.435 
8.561.8 


3,540 
15.683 
15,724 
5.850.7 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1986  —  Continued 


Metropolitan  Statistical  Area 

— 

Sf 

Modified 

w 

Property 

negligent 

Forcible 
rape 

Robbery 

Aggra- 

Burglary 

theft 

then 

Arson' 

Florence,  Al.  M.S.A 

137,816 

(Includes  Colbert  and  Lauderdale 

Counties.) 

City  of  Florence 

36,591 

1.696 

149 

1.547 

4 

8 

24 

113 

357 

1.116 

74 

Total  area  actually  reporting 

99.3% 

3,765 

269 

3,496 

6 

12 

49 

202 

918 

2.375 

203 

Estimated  total 

100.0% 

3,817 

276 

3.541 

6 

12 

50 

208 

930 

2.405 

206 

Rate  per  100,000  inhabitants 

2,769.6 

200.3 

2.569.4 

4.4 

8.7 

36.3 

150.9 

674.8 

1,745.1 

149.5 

Florence,  S.C.  M.S.A 

116,706 

(Includes  Florence  County.) 

City  of  Florence 

31,945 

2.724 

425 

2,299 

1 

28 

117 

279 

525 

1,649 

125 

Total  area  actually  reporting 

100.0% 

6.058 

972 

5,086 

4 

73 

177 

718 

1,557 

3.189 

340 

Rate  per  100,000  inhabitants 

5,190.8 

832.9 

4,358.0 

3.4 

62.6 

151.7 

615.2 

1,334.1 

2,732.5 

291.3 

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

170,363 

(Includes  Larimer  County.) 

City  of: 

Fort  Collins 

72.688 

4,893 

442 

4,451 

4 

43 

45 

350 

990 

3.321 

140 

Loveland 

34,777 

2,070 

109 

1,961 

10 

15 

352 

1,542 

67 

Total  area  actually  reporting 

100.0% 

9,822 

620 

9,202 

5 

57 

71 

487 

2,042 

6,846 

314 

Rate  per  100,000  inhabitants 

5,765.3 

363.9 

5,401.4 

2.9 

33.5 

41.7 

285.9 

1,198.6 

4,018.5 

184.3 

Fort  Lauderdale-Hollywood-Pompano 

Beach,  Fl.  M.S.A 

1,162,996 

(Includes  Broward  County.) 

City  of: 

Fort  Lauderdale 

159.420 

22,010 

2,032 

19,978 

39 

95 

1,271 

627 

6,734 

11.156 

2.088 

Hollywood 

127,831 

12.323 

1,182 

11,141 

11 

42 

570 

559 

2,864 

7.380 

897 

Pompano  Beach 

69,403 

9,812 

1,592 

8,220 

15 

64 

459 

1.054 

2,398 

5.098 

724 

Total  area  actually  reporting 

100.0% 

94,779 

10,139 

84,640 

129 

527 

4,736 

4,747 

25,001 

51.931 

7.708 

Rate  per  100,000  inhabitants 

8,149.6 

871.8 

7,277.8 

11.1 

45.3 

407.2 

408.2 

2.149.7 

4.465.3 

662.8 

Fort  Myers-Cape  Coral,  Fl.  M.S.A... 

268,998 

(Includes  Lee  County.) 

City  of: 

Fort  Myers 

40.679 

5.654 

570 

5,084 

8 

34 

217 

311 

1,304 

3,478 

302 

Cape  Coral 

46,699 

1,697 

93 

1,604 

3 

16 

74 

476 

1.058 

70 

Total  area  actually  reporting 

100.0% 

14,425 

1,015 

13,410 

13 

97 

388 

517 

4,373 

8,048 

989 

Rate  per  100,000  inhabitants 

5,362.5 

377.3 

4,985.2 

4.8 

36.1 

144.2 

192.2 

1,625.7 

2,991.8 

367.7 

Fort  Pierce,  Fl.  M.S.A 

202,361 

(Includes  Martin  and  Saint  Lucie 

Counties.) 

City  of  Fort  Pierce 

38,742 

6,667 

928 

5,739 

14 

28 

289 

597 

1.954 

3.452 

333 

Total  area  actually  reporting   

100.0% 

15,543 

1,761 

13,782 

29 

115 

426 

1.191 

4.982 

8,002 

798 

Rate  per  1 00,000  inhabitants 

7,680.8 

870.2 

6,810.6 

14.3 

56.8 

210.5 

588.6 

2.461.9 

3.954.3 

394.3 

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

171,432 

(Includes  Crawford  and  Sebastian 

Counties,  Ar..  and  Sequoyah  County, 
Ok.) 

City  of  Fort  Smith 

73.313 

5,216 

352 

4,864 

5 

24 

83 

240 

1,088 

3,417 

359 

Total  area  actually  reporting 

100.0% 

7,032 

425 

6.607 

11 

27 

87 

300 

1,790 

4,315 

502 

Rate  per  100,000  inhabitants 

4,101.9 

247.9 

3,854.0 

6.4 

15.7 

50.7 

175.0 

1,044.1 

2.517.0 

292.8 

Fort  Walton  Beach,  Fl.  M.S.A 

135,647 

(Includes  Okaloosa  County.) 

City  of  Fort  Walton  Beach 

23,421 

1.655 

170 

1,485 

1 

11 

31 

127 

353 

1.040 

92 

Total  area  actually  reporting 

100.0% 

5,141 

384 

4,757 

6 

37 

76 

265 

1,281 

3,185 

291 

Rate  per  100.000  inhabitants 

3,790.0 

283.1 

3,506.9 

4.4 

27.3 

56.0 

195.4 

944.4 

2,348.0 

214.5 

Fort  Wayne,  In.  M.S.A 

348,791 

(Includes  Allen,  De  Kalb  and  Whitley 

Counties.) 

City  of  Fort  Wayne 

165,599 

13,022 

747 

12,275 

16 

78 

355 

298 

1.864 

9,719 

692 

Total  area  actually  reporting 

90.4% 

15,689 

904 

14,785 

19 

90 

375 

420 

2,527 

11,353 

905 

Estimated  total 

100.0% 

16,840 

967 

15,873 

20 

95 

390 

462 

2,768 

12,108 

997 

Rate  per  100,000  inhabitants 

4,828.1 

277.2 

4,550.9 

5.7 

27.2 

111  8 

132.5 

793.6 

3.471.4 

285.8 

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

1,262,570 

(Includes  Johnson,  Parker  and  Tarrant 

Counties.) 

City  of: 

Fort  Worth 

432,542 

72,015 

7,870 

64,145 

200 

559 

3,373 

3,738 

19,257 

35,334 

9,554 

Arlington 

223,106 

20,235 

1,450 

18.785 

22 

120 

518 

790 

4,475 

12,263 

2,047 

Total  area  actually  reporting 

100.0% 

133,299 

11,693 

121,606 

267 

856 

4,659 

5,911 

34,367 

71,668 

15.571 

Rate  per  100,000  inhabitants 

10,557.8 

926.1 

21.1 

67.8 

369.0 

468.2 

2,722.0 

5.676.4 

1,233.3 

Fresno,  Ca.  M.S.A 

594,867 

(Includes  Fresno  County.) 

City  of  Fresno 

281,554 

33.201 

3,426 

29,775 

53 

241 

1.316 

1,816 

9,352 

18,059 

2,364 

Total  area  actually  reporting 

100.0% 

50,938 

5,531 

45,407 

87 

389 

1,637 

3.418 

15,670 

26,395 

3.342 

Rate  per  100,000  inhabitants 

8,562.9 

929.8 

7,633.1 

146 

65.4 

275.2 

574.6 

2.634.2 

4,437.1 

561.8 

Gadsden,  Al.  M.S.A 

104,795 

(Includes  Etowah  County.) 

City  of  Gadsden 

47.443 

2.763 

449 

2,314 

4 

17 

61 

367 

538 

1.601 

175 

Total  area  actually  reporting 

100.0% 

3,660 

579 

3,081 

9 

25 

75 

470 

774 

2.094 

213 

Rale  per  100,000  inhabitants 

3.4115 

552.5 

2,940.0 

8.6 

23.9 

71.6 

448.5 

738.6 

1,998.2 

203.3 

APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1986  —  Continued 

Metropolitan  Statistical  Area 

Population 

Sis 

Modified 

SO 

'.'=' 

Murder 
negligent 

Forcible 

Robbery 

Aggra- 

Burglary 

theft 

5 

Arsons 

Gainesville,  Fl.  M.S.A 

201,877 

(Includes  Alachua  and  Bradford 

Counties.) 

88,393 

9,830 

8,620 
16,252 

67 
131 

390 

746 

1.443 

3.132 

5.743 

5.132 
9,807 

356 
702 

Total  area  actually  reporting 

100.0% 

18,451 

2,199 

11 

Rate  per  100,000  inhabitants 

9,139.7 

8,050.4 

5.4 

304.1 

714.8 

2,844.8 

4,857.9 

347.7 

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

224,707 

(Includes  Galveston  County.) 

City  of: 

Galveston  

65,085 

6,930 

1,041 

5,889 

7 

66 

375 

593 

1,711 

3.676 

502 

Texas  City 

45,440 

4,026 

337 

3,689 

7 

3 

109 

218 

1.105 

2.346 

238 

Total  area  actually  reporting 

100.0% 

16.060 

1,701 

14,359 

24 

104 

527 

1.046 

4.334 

8.911 

1,114 

Rate  per  100,000  inhabitants 

7,147.1 

757.0 

6.390.1 

10.7 

46.3 

234.5 

465.5 

1.928.7 

3,965.6 

495.8 

Gary-Hammond,  In.  M.S.A 

630,303 

(Includes  Lake  and  Porter  Counties.) 

City  of: 

Gary 

143,254 

8.278 

1,385 

6,893 

46 

82 

561 

696 

2,169 

2,824 

1,900 

Hammond  

89,463 

5.717 

908 

4,809 

3 

55 

224 

626 

1.311 

2.590 

908 

Total  area  actually  reporting 

96.3% 

27.989 

3,200 

24,789 

64 

191 

1,050 

1,895 

5,737 

14.383 

4,669 

Estimated  total          

100.0% 

29.022 

3,247 

25,775 

65 

194 

1,062 

1,926 

5.899 

15.141 

4,735 

Rate  per   100,000  inhabitants 

4.604.5 

515.1 

4,089.3 

10.3 

30.8 

168.5 

305.6 

935.9 

2,402.2 

751.2 

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

111,788 

(Includes  Warren  and  Washington 

Counties.) 

City  of  Glens  Falls 

16,165 

366 

107 
782 

35 
128 

Total  area  actually  reporting 

79.8% 

2,959 

148 

2.811 

1 

13 

17 

117 

1,901 

Estimated  total 

100.0% 

3,733 

207 

3.526 

1 

16 

36 

154 

945 

2,402 

179 

Rate  per  100,000  inhabitants 

3,339.4 

185.2 

3,154.2 

.9 

14.3 

32.2 

137.8 

84S.4 

2.148.7 

160.1 

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

67,673 

(Includes  Grand  Forks  County.) 

City  of  Grand  Forks 

43.564 

2,219 

31 

2,188 

1 

9 

8 

13 

284 

1.803 

101 

Total  area  actually  reporting 

100.0% 

2.661 

48 

2,613 

1 

12 

9 

26 

326 

2.179 

108 

Rate  per  100,000  inhabitants 

3,932.1 

70.9 

3,861.2 

1.5 

17.7 

13.3 

38.4 

481.7 

3,219.9 

159.6 

Grand  Rapids,  Mi.  M.S.A 

635,761 

(Includes  Kent  and  Ottawa  Counties.) 

City  of  Grand  Rapids 

184,340 

16,419 

2,142 

14,277 

21 

220 

455 

1.446 

3.508 

9,572 

1.197 

Total  area  actually  reporting 

100.0% 

32,951 

2,876 

30,075 

30 

363 

558 

1.925 

6,491 

21,611 

1,973 

Rate  per  100,000  inhabitants  . 

5,182.9 

452.4 

4,730.6 

4.7 

57.1 

87.8 

302.8 

1,021.0 

3,399.2 

310.3 

Greeley,  Co.  M.S.A 

135,437 

(Includes  Weld  County.) 

City  of  Greeley  . 

56,281 

5,537 

370 

5,167 

4 

29 

60 

277 

1,148 

3,834 

185 

Total  area  actually  reporting 

100.0% 

9,275 

662 

8.613 

10 

74 

78 

500 

2,133 

6,124 

356 

Rate  per  100,000  inhabitants 

6,848.2 

488.8 

6,359.4 

7.4 

54.6 

57.6 

369.2 

1.574.9 

4.521.7 

262.9 

Green  Bay,  Wi.  M.S.A 

182,007 

(Includes  Brown  County.) 

City  of  Green  Bay 

90,361 

4.948 

214 

4,734 

4 

15 

19 

176 

696 

3,860 

178 

Total  area  actually  reporting 

100.0% 

7.778 

305 

7,473 

4 

18 

29 

254 

1,085 

6,092 

296 

Rate  per  100,000  inhabitants 

4,273.5 

167.6 

4,105.9 

2.2 

9.9 

15.9 

139.6 

596.1 

3.347.1 

162.6 

Greensboro-Winston-Salem-High 

Point,  N.C.  M.S.A 

911,220 

(Includes  Davidson,  Davie,  Forsyth, 

Guilford,  Randolph,  Stokes  and 

Yadkin  Counties.) 

City  of: 

Greensboro 

163,614 

11.138 

1,199 

9,939 

18 

66 

300 

815 

2,421 

7.131 

387 

Winston-Salem  

147,235 

12,377 

2,459 

9,918 

17 

109 

369 

1.964 

3,107 

6,247 

564 

High  Point 

68,557 

5,068 

594 

4,474 

10 

27 

124 

433 

1,119 

3,145 

210 

Total  area  actually  reporting 

99.8% 

40,816 

5,468 

35,348 

78 

253 

920 

4,217 

10,891 

22,538 

1.919 

Estimated  total              

100.0% 

40,935 

5,483 

35,452 

78 

254 

922 

4,229 

10,919 

22,609 

1.924 

Rate  per  100.000  inhabitants  

4,492.3 

601.7 

3.890.6 

8.6 

27.9 

101.2 

464.1 

1,198.3 

2.481.2 

211.1 

Greenville-Spartanburg,  S.C.  M.S.A. .. 

607,826 

(Includes  Greenville,  Pickens  and 

Spartanburg  Counties.) 

City  of. 

Greenville 

58.703 

6,283 

794 

5.489 

20 

184 

579 

1,257 

3.927 

305 

Spartanburg 

44,914 

4,670 

638 

4,032 

7 

25 

122 

484 

1.031 

2.796 

205 

Total  area  actually  reporting 

99.7% 

34.414 

4.092 

30,322 

57 

230 

677 

3,128 

8,467 

20,058 

1,797 

Estimated  total 

100.0% 

34,518 

4,104 

30,414 

57 

231 

679 

3,137 

8,489 

20.123 

1,802 

Rate  per  100,000  inhabitants 

5.678.9 

675.2 

5,003.7 

9.4 

38.0 

111.7 

516.1 

1,396.6 

3.310.7 

296.5 

Hagerstown,  Md.  M.S.A 

114,891 

(Includes  Washington  County.) 

City  of  Hagerstown 

33,900 

1,790 

143 

1,647 

1 

8 

43 

91 

459 

1,099 

89 

Total  area  actually  reporting 

100.0% 

3.040 

297 

2,743 

6 

18 

59 

214 

788 

1,788 

167 

Rate  per  100.000  inhabitants 

2,646.0 

2585 

2.387.5 

5.2 

15.7 

51.4 

186.3 

685.9 

1,556.3 

145.4 

APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1986  —  Continued 


Metropolitan  Statistical  Area 

Population 

Index 
total 

Modified 

Violent 

S> 

negligent 

Forcible 

Robbery 

Aggra- 
vated 

Burglary 

theft 

theft 

Arson' 

slaughter 

Hamilton-Middletown,  Oh.  M.S.A 

265,413 

(Includes  Butler  County.) 

City  of: 

63,967 

5.152 

604 

4.548 

7 

50 

139 

408 

1,231 

3.075 

242 

Mtddletown 

43.791 

2,515 

88 

2.427 

3 

11 

43 

31 

551 

1.800 

76 

Total  area  actually  reporting 

100.0% 

13.796 

970 

12,826 

1 1 

74 

211 

674 

3,122 

9,108 

596 

Rate  per  100.000  inhabitants 

5,197.9 

365.5 

4.832.5 

4.1 

27.9 

79.5 

253.9 

1,1763 

3.431  6 

224.6 

Harrisburg-Lebanon-Carlisle,  Pa. 

M.S.A 

570,561 

(Includes  Cumberland.  Dauphin. 

Lebanon  and  Perry  Counties.) 

City  of: 

Harnsburg 

52,007 

5,285 

1,073 

4.212 

82 

401 

582 

1.324 

2,601 

287 

26,304 

935 

35 

900 

1 

2 

20 

175 

Carlisle 

19,187 

747 

64 

683 

19 

38 

120 

531 

32 

Total  area  actually  reporting 

99.9% 

18,777 

1,906 

16,871 

14 

162 

556 

1,174 

4.017 

11,963 

891 

Estimated  total 

100.0% 

18,798 

1.907 

16,891 

14 

162 

556 

1.175 

4,021 

11,977 

893 

Rate  per  100,000  inhabitants 

3,294.7 

334.2 

2,960.4 

2.5 

28.4 

97.4 

205.9 

704.7 

2,099.2 

156.5 

Hartford,  Ct.  M.S.A 

743,495 

(Includes  part  of  Hartford,  Litchfield, 

Middlesex,  New  London  and  Tolland 

Counties.) 

City  of  Hartford 

137.217 

19,887 

2.969 

16.918 

28 

104 

1,675 

1,162 

4,661 

10,259 

1,998 

Total  area  actually  reporting 

100.0% 

41,477 

4,120 

37,357 

39 

206 

2,027 

1,848 

9.761 

24,062 

3,534 

Rate  per  100,000  inhabitants 

5,578.7 

554.1 

5.024.5 

5.2 

27.7 

272.6 

248.6 

1,312.9 

3,236.3 

475.3 

Hickory,  N.C.  M.S.A 

217,870 

(Includes  Alexander,   Burke  and 

Catawba  Counties.) 

City  of  Hickory 

25,006 

2.471 

248 

2.223 

13 

187 

651 

1,442 

130 

Total  area  actually  reporting 

100.0% 

6,964 

896 

6,068 

10 

29 

71 

786 

1,986 

3.724 

358 

Rate  per  100,000  inhabitants 

3,196.4 

411.3 

2.785.1 

4  6 

13.3 

32.6 

360.8 

911.6 

1.709.3 

164.3 

Honolulu,  Hi.  M.S.A 

823,306 

(Includes  Honolulu  County.) 

Total  area  actually  reporting 

100.0% 

46,455 

2.076 

44,379 

46 

241 

1,052 

737 

10,675 

30.846 

2,858 

Rate  per  100,000  inhabitants    

5,642.5 

252.2 

5,390.3 

5.6 

29.3 

127.8 

89,5 

1,296.6 

3,746.6 

347.1 

Houston,  Tx.  M.S.A 

3,301,412 

(Includes  Fort  Bend,  Harris,  Liberty. 

Montgomery  and  Waller  Counties.) 

City  of  Houston 

1.779,677 

168.150 

20,576 

147,574 

408 

1.524 

10,926 

7,718 

44.530 

68,856 

34.188 

Total  area  actually  reporting. 

100.0% 

249.315 

26,605 

222,710 

525 

2,023 

12,938 

11,119 

69,823 

108,315 

44.572 

Rate  per  100,000  inhabitants 

7,551.8 

805.9 

6,745.9 

15.9 

61.3 

391.9 

336.8 

2.114.9 

3,280.9 

1,350.1 

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

M.S.A 

331,592 

(Includes  Cabell  and  Wayne  Counties, 

W.V.,  Boyd,  Carter  and  Greenup 

Counties,  Ky.,  and  Lawrence  County, 

Oh.) 

City  of: 

60,043 

4.327 

476 

3,851 

103 

239 

Ashland 

26.247 

1.057 

134 

923 

1 

5 

11 

117 

238 

638 

47 

Total  area  actually  reporting 

85.1% 

8,923 

974 

7,949 

14 

71 

166 

723 

2.331 

5,039 

579 

Estimated  total 

100.0% 

10,073 

1,069 

9,004 

15 

81 

185 

788 

2,624 

5,730 

650 

Rate  per  100,000  inhabitants 

3,037.8 

322.4 

2,715.4 

4.5 

24.4 

55.8 

237.6 

791.3 

1,728.0 

196.0 

Huntsville,  Al.  M.S.A 

213,325 

(Includes  Madison  County.) 

City  of  Huntsville 

151,880 

11,798 

787 

11.011 

19 

201 

506 

2.353 

8,182 

476 

Total  area  actually  reporting 

100.0% 

12,736 

901 

11.835 

22 

71 

212 

596 

2,650 

8,667 

518 

Rate  per  100,000  inhabitants 

5,970.2 

422.4 

5.547.9 

10.3 

33.3 

99.4 

279.4 

1.242.2 

4,062.8 

242.8 

Indianapolis,  In.  M.S.A 

1,196,422 

(Includes  Boone,  Hamilton,  Hancock, 

Hendricks,  Johnson,  Marion,  Morgan 

and  Shelby  Counties.) 

City  of  Indianapolis 

470,591 

29,726 

4,307 

25,419 

63 

438 

1,571 

2,235 

8.247 

13.815 

3,357 

Total  area  actually  reporting 

86.8% 

52,393 

5,337 

47,056 

80 

547 

1.960 

2.750 

13,421 

28,267 

5,368 

Estimated  total 

100.0% 

57,513 

5.632 

51,881 

84 

570 

2,029 

2,949 

14,553 

31,526 

5,802 

Rate  per  100,000  inhabitants 

4,807.1 

470.7 

4,336.3 

7.0 

47.6 

169.6 

246.5 

1.216.4 

2,635.0 

484.9 

Iowa  City,  la.  M.S.A 

83,185 

(Includes  Johnson  County.) 

City  of  Iowa  City 

49,958 

2,816 

191 

2,625 

21 

15 

155 

508 

2,021 

96 

Total  area  actually  reporting 

100.0% 

4,819 

284 

4,535 

32 

26 

226 

947 

3,445 

143 

Rate  per   100,000  inhabitants 

5,793.1 

341.4 

5,451.7 

38.5 

31.3 

271.7 

1.138.4 

4.141  4 

171.9 

Jackson,  Mi.  M.S.A 

146,378 

(Includes  Jackson  County.) 

City  of  Jackson 

37.974 

4.421 

853 

3,568 

4 

48 

116 

685 

1,094 

2.302 

172 

Total  area  actually  reporting 

97.4% 

7,853 

1,350 

6,503 

15 

99 

152 

1.084 

1,826 

4,369 

308 

Estimated  total 

100.0% 

8,079 

1.369 

6,710 

15 

100 

158 

1,09  b 

1.870 

4,503 

337 

Rate  per   100,000  inhabitants 

5,519.3 

935.2 

4.584.0 

10.2 

68.3 

107.9 

748.7 

1.277,5 

3,076.3 

230.2 

See  footnotes  at  end  of  table. 


346 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1986  —  Continued 

Metropolitan  Statistical  Area 

Population 

ss 

Modified 
Crime 
Index 

Violent 

w 

Murder 
and  non- 
neghgen! 

Forcible 

Robbery 

Aggra- 

Burglary 

theft 

vehicle 
Ihefl 

Arson1 

total' 

slighter 

Jackson,  Ms.  M.S.A 

386,360 

(Includes  Hinds.  Madison  and  Rankin 

Counties.) 

City  of  Jackson 

210.985 

14,043 

1.480 

12.563 

33 

115 

429 

903 

4,268 

7.622 

673 

Total  area  actually  reporting 

76.1% 

16,385 

1.598 

14.787 

38 

133 

454 

973 

4,858 

9.139 

790 

Estimated  total 

100.0% 

19,913 

1.795 

18,118 

43 

158 

505 

1,089 

6,108 

11,004 

1.006 

Rate  per  100,000  inhabitants 

5,154.0 

464.6 

4,689.4 

11.1 

40.9 

130.7 

281.9 

1,580.9 

2,848  1 

260.4 

Jackson,  Tn.  M.S.A 

77,806 

(Includes  Madison  County.) 

City  of  Jackson 

51.912 

4.462 

642 

3,820 

6 

38 

167 

431 

1.124 

2.507 

189 

Total  area  actually  reporting 

100.0% 

5.120 

710 

4,410 

8 

52 

173 

477 

1.381 

2.792 

237 

Rate  per  100,000  inhabitants 

6,580.5 

912.5 

5,667.9 

10.3 

66.8 

222.3 

613.1 

1,774.9 

3,588.4 

304.6 

Jacksonville,  Fl.  M.S.A 

845,993 

(Includes  Clay,  Duval.  Nassau  and 

Saint  Johns  Counties.) 

City  of  Jacksonville 

616,668 

59,410 

8.003 

51,407 

119 

618 

2,985 

4.281 

16,498 

31,668 

3.241 

Total  area  actually  reporting 

100.0% 

74,594 

9,902 

64,692 

139 

701 

3.301 

5.761 

19,862 

40,826 

4.004 

Rate  per  100,000  inhabitants 

8,817.3 

1,170.5 

7,646.9 

16.4 

82.9 

390.2 

6810 

2,347.8 

4,825.8 

473.3 

Jacksonville,  N.C.  M.S.A 

121,806 

(Includes  Onslow  County.) 

City  of  Jacksonville  

26,317 

2,719 

264 

2,455 

4 

12 

47 

201 

537 

1.822 

96 

Total  area  actually  reporting 

100.0% 

5,366 

568 

4,798 

4 

20 

74 

470 

1,460 

3,114 

224 

Rate  per  100,000  inhabitants 

4,405.4 

466.3 

3,939.1 

3.3 

16.4 

60.8 

385.9 

1,198.6 

2,556.5 

183.9 

Janesville-Beloit,  Wi.  M.S.A 

139,203 

(Includes  Rock  County.) 

City  of: 

Janesville 

51.708 

2.944 

78 

2.866 

2 

13 

14 

49 

636 

2,138 

92 

Beloit 

34,177 

3.216 

361 

2.855 

2 

11 

39 

309 

457 

2,306 

92 

Total  area  actually  reporting 

100.0% 

7,340 

507 

6.833 

6 

31 

60 

410 

1,423 

5,184 

226 

Rate  per  100,000  inhabitants 

5.272.9 

364.2 

4,908.7 

4.3 

22.3 

43.1 

294.5 

1.022.2 

3.724.1 

162.4 

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

567,749 

(Includes  Hudson  County.) 

City  of  Jersey  City 

226,135 

19.505 

3,658 

15,847 

19 

130 

2.200 

1.309 

4,745 

7.428 

3.674 

Total  area  actually  reporting 

100.0% 

39,261 

5,300 

33,961 

39 

190 

2.800 

2,271 

8,549 

17,434 

7,978 

Rate  per  100.000  inhabitants 

6.915.2 

933.5 

5.981.7 

6.9 

33.5 

493.2 

400.0 

1,505.8 

3,070.7 

1,405.2 

Johnson  City-Kingsport-Bristol, 

Tn.-Va.  M.S.A 

450,474 

(Includes  Carter,  Hawkins,  Sullivan, 

Unicoi  and  Washington  Counties,  Tn., 

Bristol  City  and  Scott  and  Washington 

Counties,  Va.) 

City  of: 

Johnson  City  

45,170 

2.496 

118 

2,378 

3 

17 

30 

68 

516 

1.672 

190 

Kingsport  

32,286 

2.117 

103 

2.014 

2 

22 

79 

409 

1,454 

151 

Bristol                           

19,029 

947 

65 

882 

1 

2 

22 

40 

150 

688 

44 

Total  area  actually  reporting 

88.1% 

11,949 

835 

11.114 

23 

59 

133 

620 

3.071 

7,232 

811 

Estimated  total         

100.0% 

13.703 

985 

12,718 

26 

74 

162 

723 

3.595 

8.174 

949 

Rate  per  100,000  inhabitants 

3,041.9 

218.7 

2.823.2 

5.8 

36.0 

160.5 

798.0 

1.814.5 

210.7 

Johnstown,  Pa.  M.S.A 

258,744 

(Includes  Cambria  and  Somerset 
Counties.) 

City  of  Johnstown 

33.105 

1,155 

171 

984 

10 

38 

123 

297 

588 

99 

Total  area  actually  reporting  . 

99.5% 

3,962 

402 

3.560 

1 

38 

58 

305 

1.090 

2,188 

282 

Estimated  total 

100.0% 

3,996 

405 

3,591 

1 

38 

59 

307 

1.097 

2,209 

285 

Rate  per  100,000  inhabitants 

1,544.4 

156.5 

1,387.9 

.4 

14.7 

22.8 

118.7 

424.0 

853.7 

110.1 

Joliet,  11.  M.S.A.4 

384,548 

(Includes  Grundy  and  Will  Counties.) 

City  of  Joliet4 

76,760 

5.728 

12 

245 

625 

1.534 

3,692 

502 

Total  area  actually  reporting 

99.9% 

15,532 

21 

344 

1.123 

4.438 

9,862 

1.232 

Estimated  total 

100.0% 

15,547 

21 

344 

1,124 

4.441 

9,873 

1.233 

Rate  per  100.000  inhabitant'. 

4,042.9 

5.5 

89.5 

292.3 

1.154.9 

2,567.4 

320.6 

Joplin,  Mo.  M.S.A 

133,423 

(Includes  Jasper  and  Newton 

Counties.) 

City  of  Joplin  ... 

40.112 

2,522 

244 

2,278 

4 

15 

23 

202 

425 

1.691 

Total  area  actually  reporting 

77.1% 

4,197 

345 

3,852 

5 

20 

35 

285 

845 

2,776 

231 

Estimated  total 

100.0% 

4,957 

409 

4,548 

6 

24 

45 

334 

1,062 

3,197 

289 

Rate  per  100,000  inhabitants 

3,715.3 

306.5 

3,408.7 

4.5 

18.0 

337 

250.3 

796.0 

2.396.1 

216.6 

Kalamazoo,  Mi.  M.S.A 

216,813 

(Includes  Kalamazoo  County.) 

City  of  Kalamazoo 

77.792 

10,458 

1.797 

8,661 

3 

115 

364 

1.315 

2,504 

5,823 

334 

Total  area  actually  reporting 

99.2% 

17,333 

2.170 

15,163 

6 

164 

420 

1.580 

3.775 

10,797 

591 

Estimated  total 

100.0% 

17.437 

2,180 

15,257 

6 

165 

423 

1.586 

3.795 

10.858 

604 

Rate  per  100,000  inhabitants 

8,042.4 

1,005.5 

7,036.9 

2.8 

76.1 

195.1 

731.5 

1.750.4 

5,008.0 

278.6 

See  footnotes  at  end  of  table. 

APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1986  —  Continued 


Metropolitan  Statistical  Area 

Population 

Cnme 
Index 
total 

Modified 
total1 

Violent 

'=? 

Murder 

■.l.iurtik't 

Forcible 
rape 

Robbery 

Aggra- 

Burglary 

Larceny- 

2F 

ArW 

Kankakee,  11.  M.S.A 

100,502 

(Includes  Kankakee  County.) 

City  of  Kankakee4 

28,464 

3,143 

2 

145 

414 

942 

1.967 

234 

Total  area  actually  reporting 

100.0% 

5,124 

5 

163 

540 

1,504 

3,274 

346 

Rate  per  100.000  inhabitants 

5.098.4 

5.0 

162,2 

537.3 

1,496.5 

3.257.6 

344.3 

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

1,492,688 

(Includes  Cass.  Clay,  Jackson, 

Lafayette,  Platte  and  Ray  Counties, 

Mo.,  and  Johnson.  Leavenworth, 

Miami  and  Wyandotte  Counties,  Ks.) 

City  of: 

Kansas  City,  Ks 

161.978 

16.264 

2.394 

13.870 

21 

147 

623 

1.603 

4.585 

7.397 

1.888 

Kansas  City,  Mo 

448,237 

54,378 

9.673 

44.705 

116 

460 

3.442 

5,655 

13.525 

24,375 

6.805 

Total  area  actually  reporting 

96.9% 

105,396 

14,299 

91,097 

158 

747 

4,564 

8.830 

26,073 

54,265 

10,759 

Estimated  total 

100.0% 

107.026 

14,427 

92,599 

160 

755 

4,591 

8.921 

26,455 

55,255 

10,889 

Rate  per  100,000  inhabitants 

7,170.0 

966.5 

6,203.5 

10.7 

50.6 

307.6 

597.6 

1.772.3 

3,701.7 

729.5 

Kenosha,  Wi.  M.S.A 

121,859 

(Includes  Kenosha  County.) 

City  of  Kenosha    

75,958 

5,058 

257 

4,801 

3 

33 

109 

112 

1.164 

3,372 

265 

Total  area  actually  reporting 

100.0% 

6,891 

332 

6,559 

5 

49 

125 

153 

1,598 

4,593 

368 

Rate  per  100,000  inhabitants 

5,654.9 

272.4 

5.382.5 

4.1 

40.2 

102.6 

125.6 

1,311.4 

3,769.1 

302.0 

Killeen-Temple,  Tx.  M.S.A 

235,467 

(Includes  Bell  and  Coryell  Counties.) 

City  of: 

Killeen 

58,080 

5.196 

339 

4,857 

3 

73 

115 

148 

1.577 

3,042 

238 

Temple 

46,998 

3,376 

172 

3,204 

6 

50 

60 

56 

834 

2.204 

166 

Total  area  actually  reporting 

100.0% 

12,447 

784 

11,663 

18 

160 

213 

393 

3.651 

7.399 

613 

Rate  per  100,000  inhabitants 

5,286.1 

333.0 

4,953.1 

7.6 

68.0 

90.5 

1,550.5 

3,142.3 

260.3 

Knoxville,  Tn.  M.S.A 

599,673 

(Includes  Anderson,  Blount,  Grainger, 

Jefferson.  Knox.  Sevier  and  Union 

Counties.) 

City  of  Knoxville 

177,153 

11.872 

1.437 

10.435 

29 

87 

496 

825 

4.079 

4.906 

1,450 

Total  area  actually  reporting  

88.7% 

21,547 

2,082 

19,465 

46 

143 

634 

1,259 

7,435 

9,778 

2.252 

Estimated  total 

100.0% 

23,446 

2,242 

21,204 

51 

162 

663 

1,366 

8,075 

10,709 

2,420 

Rate  per  100.000  inhabitants 

3,909.8 

373.9 

3.535.9 

8.5 

27.0 

110.6 

227,8 

1,346.6 

1,785.8 

403.6 

Kokomo,  In.  M.S.A 

101,138 

(Includes  Howard  and  Tipton 

Counties.) 

City  of  Kokomo 

45,435 

2,331 

58 

2.273 

5 

10 

39 

4 

507 

1.670 

96 

Total  area  actually  reporting 

100.0% 

2.921 

69 

2.852 

5 

14 

45 

5 

671 

2.056 

125 

Rate  per  100,000  inhabitants 

2,888.1 

68.2 

2.819.9 

4.9 

13.8 

44.5 

4.9 

663.4 

2.032.9 

123.6 

La  Crosse,  Wi.  M.S.A 

93,497 

(Includes  La  Crosse  County.) 

City  of  La  Crosse 

47.783 

2.995 

38 

2,957 

236 

2,635 

86 

Total  area  actually  reporting 

100.0% 

4,121 

148 

3,973 

2 

18 

15 

113 

438 

3,420 

115 

Rate  per  100.000  inhabitants 

4,407.6 

158.3 

4.249.3 

2.1 

19.3 

16.0 

120.9 

468.5 

3.657.9 

123.0 

Lafayette,  La.  M.S.A 

217,786 

(Includes  Lafayette  and  St.  Martin 

Parishes.) 

City  of  Lafayette 

83.321 

10.071 

1.158 

8,913 

12 

75 

232 

839 

2.067 

6,523 

323 

Total  area  actually  reporting 

96.6% 

13,281 

1.503 

11,778 

21 

128 

278 

1,076 

3,035 

8.270 

473 

Estimated  total 

100.0% 

13,750 

1.548 

12,202 

21 

130 

286 

1,111 

3,127 

8,582 

493 

Rate  per  100.000  inhabitants 

6,313.5 

710.8 

5,602.7 

9.6 

59.7 

131.3 

510.1 

1,435.8 

3,940.6 

226.4 

Lafayette- West  Lafayette,  In.  M.S.A.. 

124,009 

(Includes  Tippecanoe  County.) 

City  of: 

Lafayette 

44.108 

2.197 

67 

2.130 

11 

29 

27 

547 

1.469 

114 

West  Lafayette 

21,040 

812 

36 

776 

3 

22 

602 

29 

Total  area  actually  reporting 

100.0% 

3.919 

162 

3,757 

58 

929 

2.620 

208 

Rate  per  100,000  inhabitants 

3,160.3 

130.6 

3,029.6 

14.5 

749.1 

2,112.7 

167.7 

Lake  Charles,  La.  M.S.A 

176,471 

(Includes  Calcasieu  Parish.) 

City  of  Lake  Charles 

75,728 

4,713 

224 

4,489 

5 

9 

58 

152 

1.016 

3.293 

180 

Total  area  actually  reporting 

100.0% 

10.801 

891 

9.910 

13 

53 

131 

694 

2.433 

7.116 

361 

Rate  per  100.000  inhabitants 

6,120.6 

504.9 

5.615.7 

7.4 

30.0 

74.2 

393.3 

1.378.7 

4.0324 

204.6 

Lake  County,  11.  M.S.A.4 

469,940 

(Includes  Lake  County.) 

Total  area  actually  reporting 

99.8% 

18,552 

10 

373 

1,242 

3.767 

13,741 

1.044 

Estimated  total 

100.0% 

18,603 

10 

374 

1,244 

3.778 

13,776 

1.049 

Rate  per  100.000  inhabitants 

3,958.6 

2.1 

79.6 

264.7 

803.9 

2.931.4 

223.2 

Lakeland-Winter  Haven,  Fl.  M.S.A. .. 

377,162 

(Includes  Polk  County.) 

City  of: 

Lakeland  

57.818 

6,663 

698 

5,965 

7 

35 

277 

1.704 

240 

Winter  Haven 

23,377 

2.864 

258 

2.606 

5 

18 

72 

163 

690 

1.824 

92 

Total  area  actually  reporting  

100.0% 

30,365 

3,511 

26,854 

45 

146 

992 

2.328 

7,643 

17.824 

1.387 

Rate  per  100,000  inhabitants 

8,050.9 

930.9 

7.120.0 

11.9 

38.7 

263.0 

617.2 

2.026  5 

4.725.8 

367.7 

See  footnotes  at  end  of  table. 


348 


APPENDIX  IV  — Index  of  Crime,  Metropolitan  Statistical  Areas,  1986  —  Continued 


\i..j,t„-,j 

Index 


Lancaster,  Pa.  M.S.A 

(Includes  Lancaster  County.) 
City  of  Lancaster 
Total  area  actually  reporting 

Estimated  total 

Rate  per  100,000  inhabitants. 
Lansing-East  Lansing,  Mi.  M.S.A. 
(Includes  Clinton,  Eaton  and  Ingha 
Counties.) 
City  of: 

Lansing 

East  Lansing  

Total  area  actually  reporting 

Estimated  total      

Rate  per   100.000  inhabitants 

Laredo,  Tx.  M.S.A 

(Includes  Webb  County.) 

City  of  Laredo 

Total  area  actually  reporting 
Rate  per  100,000  inhabitants 

Las  Cruces,  N.M.  M.S.A 

(Includes  Dona  Ana  County.) 

City  of  Las  Cruces 

Total  area  actually  reporting 

Estimated  total  

Rate  per   100,000  inhabitants 

Las  Vegas,  Nv.  M.S.A 

{Includes  Clark  County.) 
City  of  Las  Vegas 
Total  area  actually  reporting 
Rate  per  100.000  inhabitants 

Lawrence,  Ks.  M.S.A 

(Includes  Douglas  County.) 

City  of  Lawrence 

Total  area  actually  reporting 
Rate  per  100.000  inhabitants 

Lawton,  Ok.  M.S.A 

(Includes  Comanche  County.) 

City  of  Lawton 

Total  area  actually  reporting 
Rate  per  100.000  inhabitants 

Lewiston-Auburn,  Me.  M.S.A 

(Includes  part  of  Androscoggin 
County.) 
City  of 

Lewiston 

Aubum 

Total  area  actually  reporting 
Rate  per  100,000  inhabitants 

Lexington-Fayette,  Ky.  M.S.A 

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

City  of  Lexington 

Total  area  actually  reporting 
Rate  per  100,000  inhabitants 

Lincoln,  Nb.  M.S.A 

(Includes  Lancaster  County.) 

City  of  Lincoln 

Total  area  actually  reporting 
Rate  per  100.000  inhabitants 
Little  Rock-North  Little  Rock,  Ar. 

MJS.A 

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

Little  Rock 

North  Little  Rock 

Total  area  actually  reporting 
Rate  per  100,000  inhabitants 

Longriew-Marshall,  Tx.  M.S.A 

(Includes  Gregg  and  Harrison 
Counties.) 
City  of: 

Longview 

Marshall 

Total  area  actually  reporting 

Rate  per  100,000  inhabitants 

See  footnotes  at  end  of  table. 


100.0% 

419,295 


i:x.<i(iu 

47,081 
98.9% 
100.0% 


24.852 
25,120 
5,991.0 


52,228 
97.7% 
100.0% 

4.994 

6,871 

7,124 

6.112-8 

567,207 

463,158 
100.0% 

70,411 

35.841 
41,270 
7,276.0 

54.707 
100.0% 

119,671 

3,788 
4,893 
6.949.2 

85,812 
100.0% 

6]  162 

19.943 
5,658 
33,747 

6,784.5 


22.61)2 
22.936 
5.470. 


KI.S54 
12,415 
6.145.4 


4,897 
29,374 

5,405  1 


5.872 
5.924 

.412.8 


3.202 
4,057 

.238.4 


14,689 
22,297 
3,931.0 


2.723 

3.436 

4.879.S 


3.280 
3,402 

2.K42  X 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1986  —  Continued 

Metropolitan  Statistical  Area 

Population 

3f 

Modified 

ffl 

0 

negligent 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 

Burglary 

theft 

theft 

Arson' 

Lorain-Elyria,  Oh.  M.S.A 

265,808 

(Includes  Lorain  County.) 

City  of: 

72,789 

2.259 

165 

2,094 

49 

48 

800 

1,138 

156 

Elyria  

57,192 

1.897 

125 

1,772 

5 

28 

43 

49 

632 

916 

224 

Total  area  actually  reporting 

99.5% 

6,977 

636 

6,341 

12 

107 

116 

401 

2,082 

3,770 

489 

Estimated  total 

100.0% 

7,035 

639 

6,396 

12 

107 

117 

403 

2,092 

3,810 

494 

Rate  per  100,000  inhabitants 

2,646.6 

240.4 

2,406.2 

4.5 

40.3 

44.0 

151.6 

787.0 

1,433.4 

185.8 

Los  Angeles-Long  Beach,  Ca.  M.S.A. 

8,320,148 

(Includes  Los  Angeles  County.) 

City  of: 

3,260,856 

311,420 

66,378 

245,042 

834 

2,330 

29,930 

33,284 

64,201 

124,518 

56,323 

Long  Beach 

398,983 

34.396 

4,839 

29,557 

62 

220 

2,774 

1,783 

8,763 

15,904 

4,890 

Total  area  actually  reporting 

100.0% 

616,181 

115,819 

500,362 

1,409 

4,428 

49,376 

60,606 

143.528 

254,851 

101,983 

Rate  per  100,000  inhabitants 

7,405.9 

1.392.0 

6,013.9 

16.9 

53.2 

593.5 

728.4 

1,725.1 

3,063.1 

1.225.7 

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

963,807 

(Includes  Bullitt,  JefTerson,  Oldham 

and  Shelby  Counties,  Ky..  and  Clark, 

Floyd  and  Harrison  Counties,  In.) 

City  of  Louisville 

290,230 

18,665 

2,365 

16,300 

42 

119 

1,469 

735 

5,609 

9,438 

1,253 

Total  area  actually  reporting  . 

88.3% 

40,624 

3,872 

36,752 

65 

258 

1.969 

1,580 

10,733 

23,168 

2,851 

Estimated  total 

100.0% 

44,595 

4,099 

40,496 

69 

275 

2,022 

1,733 

11.554 

25,780 

3,162 

Rate  per  100,000  inhabitants 

4,627.0 

425.3 

4.201.7 

7.2 

28.5 

209.8 

179.8 

1.198.8 

2,674.8 

328.1 

Lubbock,  Tx.  M.S.A 

227,634 

(Includes  Lubbock  County.) 

City  of  Lubbock 

186,272 

19,222 

1,741 

17,481 

28 

105 

324 

1,284 

6,146 

10,458 

877 

Total  area  actually  reporting 

100.0% 

21,661 

1,921 

19,740 

30 

133 

339 

1,419 

6,851 

11.893 

996 

Rate  per  100,000  inhabitants 

9,515.7 

843.9 

8.6718 

13.2 

58.4 

148.9 

623.4 

3,009.7 

5.224.6 

437.5 

Lynchburg,  Va.  M.S.A 

146,384 

(Includes  Lynchburg  City  and 

Amherst  and  Campbell  Counties.) 

City  of  Lynchburg  

69,105 

3.465 

395 

3.070 

7 

22 

80 

286 

573 

2,386 

111 

Total  area  actually  reporting 

100.0% 

4,829 

565 

4,264 

13 

50 

90 

412 

809 

3,279 

176 

Rate  per  100.000  inhabitants  . 

3,298.9 

386.0 

2,912.9 

8.9 

34.2 

61.5 

281.5 

552.7 

2,240.0 

120.2 

Macon-Warner  Robins,  Ga.  M.S.A 

290,637 

(Includes  Bibb,  Houston,  Jones  and 

Peach  Counties.) 

City  of: 

Macon 

125,246 

8,087 

573 

7,514 

16 

38 

195 

324 

1,738 

5,248 

528 

Warner  Robins 

46,431 

2,490 

246 

2,244 

2 

26 

55 

163 

765 

1,353 

126 

Total  area  actually  reporting 

96.8% 

13.189 

995 

12,194 

29 

82 

287 

597 

3.443 

7,946 

805 

Estimated  total 

100.0% 

13,852 

1,050 

12,802 

30 

87 

306 

627 

3,601 

8,344 

857 

Rate  per  100,000  inhabitants 

4,766.1 

361.3 

4,404.8 

10.3 

29.9 

105.3 

215.7 

1.239.0 

2.870.9 

294.9 

Madison,  Wi.  M.S.A 

327,796 

(Includes  Dane  County.) 

City  of  Madison 

171.423 

11.161 

458 

10.703 

3 

67 

211 

177 

1,988 

8,207 

508 

Total  area  actually  reporting 

95.8% 

16,226 

721 

15,505 

4 

79 

231 

407 

2,834 

11,969 

702 

Estimated  total 

100.0% 

16.808 

741 

16,067 

4 

80 

235 

422 

2,931 

12,413 

723 

Rate  per  100,000  inhabitants 

5,127.6 

226.1 

4,901.5 

1.2 

24.4 

71.7 

128.7 

894.2 

3,786.8 

220.6 

Manchester,  N.H.  M.S.A 

133,660 

(Includes  part  of  Hillsborough, 

Merrimack  and  Rockingham 

Counties.) 

City  of  Manchester 

99,824 

5.495 

176 

5,319 

2 

8 

103 

63 

1.288 

3,613 

418 

Total  area  actually  reporting 

100.0% 

6.931 

218 

6.713 

2 

10 

108 

98 

1.615 

4,590 

508 

Rate  per  100,000  inhabitants 

5,185.5 

163.1 

5,022.4 

1.5 

80.8 

73.3 

3,434.1 

380.1 

Mansfield,  Oh.  M.S.A 

129,109 

(Includes  Richland  County.) 

City  of  Mansfield 

51,887 

3,761 

580 

3,181 

1 

34 

78 

467 

1.038 

2.010 

133 

Total  area  actually  reporting 

98.6% 

5,818 

722 

5,096 

2 

39 

92 

589 

1,435 

3,440 

221 

Estimated  total.              

100.0% 

5,890 

726 

5,164 

2 

39 

93 

592 

1.448 

3.489 

227 

Rate  per  100,000  inhabitants 

4,562.0 

562.3 

3,999.7 

30.2 

72.0 

458.5 

2,702.4 

175.8 

McAllen-Edinburg-Mission,  Tx. 

M.S.A 

351,740 

(Includes  Hidalgo  County.) 

City  of: 

McAllen 

80.404 

7,078 

428 

6.650 

43 

1,447 

4.492 

711 

Edinburg  

31,334 

2,156 

113 

2.043 

1 

8 

103 

665 

1,266 

112 

Mission 

29,859 

1.682 

86 

1,596 

6 

10 

68 

307 

1,199 

90 

Total  area  actually  reporting 

100.0% 

21,713 

1,442 

20.271 

33 

84 

178 

1,147 

6.413 

12,326 

1,532 

Rate  per  100,000  inhabitants 

6,173.0 

410.0 

5,763.1 

23.9 

50.6 

326.1 

1.823.2 

3.504.3 

435.5 

Medford,  Or.  M.S.A 

137,291 

(Includes  Jackson  County.) 

City  of  Medford 

42.323 

4,000 

164 

3,836 

1 

21 

899 

2,780 

Total  area  actually  reporting 

100.0% 

7,530 

434 

7,096 

6 

55 

91 

282 

1.777 

4.925 

394 

Rate  per  100,000  inhabitants 

5.484.7 

316.1 

5,168.6 

4.4 

40.1 

66.3 

205  4 

1,294  3 

3.587.3 

287.0 

APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1986  —  Continued 


Metropolitan  Statistical  Area 

Population 

5f 

Modified 

Violent 

Property 

Murder 
and  non- 
negligent 

slaughter 

rape 

Robbery 

Aggra- 

Burglary 

theft 

theft 

Arson' 

Melbourne  I  itusville-Palm  Bay,  Fl. 

M.S.A 

350,489 

(Includes  Brevard  County.) 

City  of: 

Melbourne 

55,784 

5,344 

4.714 
2,049 

123 
93 

488 
181 

1,179 
647 

3,344 
1,285 

Titusville 

40,519 

2,350 

301 

6 

21 

117 

Palm  Bay 

35,743 

2,333 

183 

2,150 

4 

14 

30 

135 

780 

1,269 

101 

Total  area  actually  reporting 

100.0% 

23,162 

2,550 

20,612 

41 

103 

698 

1,708 

6,049 

13,525 

1,038 

Rate  per  100,000  inhabitants 

6.608.5 

727.6 

5,880.9 

11.7 

29.4 

199.2 

487.3 

1,725.9 

3,858.9 

296.2 

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

950,786 

(Includes  Shelby  and  Tipton  Counties. 

Soto  County,  Ms.) 

City  of  Memphis 

660,255 

64,856 

10,477 

54,379 

161 

919 

5,819 

3.578 

18,329 

23,099 

12.951 

Total  area  actually  reporting 

93.5% 

74,475 

11,262 

63.213 

186 

1,069 

6,060 

3,947 

21,245 

27,985 

13.983 

100.0% 

76,621 

11,386 

65,235 

190 

1,084 

6,095 

4.017 

22,043 

29,060 

14,132 

Rate  per  100,000  inhabitants 

8,058.7 

1,197.5 

6,861.2 

20.0 

114.0 

641.0 

422.5 

2,318.4 

3,056.4 

1,486.3 

Merced,  Ca.  M.S.A 

163,126 

(Includes  Merced  County.) 

City  of  Merced  . 

46,593 

3,754 

234 

142 
538 

893 
2.349 

2,478 
4,869 

149 
373 

Total  area  actually  reporting 

100.0% 

8,337 

746 

7J591 

11 

30 

167 

Rate  per  100,000  inhabitants 

5,110.8 

4573 

4,653.5 

6.7 

18.4 

102.4 

329.8 

1,440.0 

2,984.8 

228.7 

Miami-Hialeah,  Fl.  M.S.A 

1,814,671 

(Includes  Dade  County.) 

City  of: 

Miami 

396,374 

58,728 

11,676 

47.052 

148 

221 

5,767 

5.540 

12,371 

26,265 

8.416 

Hialeah 

161,948 

13.601 

1,512 

12,089 

21 

37 

685 

769 

2,899 

6,983 

2,207 

Total  area  actually  reporting 

100.0% 

213,213 

32,505 

180,708 

392 

931 

14,619 

16,563 

50,148 

102,736 

27,824 

Rate  per  100,000  inhabitants 

11,749.4 

1,791.2 

9,958.2 

21.6 

51.3 

805.6 

912.7 

2,763.5 

5,661.4 

1,533.3 

Middlesex-Somerset-Hunterdon,  N.J. 

M.S.A 

934,797 

(Includes  Hunterdon,  Middlesex  and 

Somerset  Counties.) 

Total  area  actually  reporting 

100.0% 

34,850 

2,002 

32.848 

14 

125 

648 

1,215 

7,359 

21,958 

3,531 

Rate  per  100,000  inhabitants 

3,728.1 

214.2 

3,513.9 

1.5 

13.4 

69.3 

130.0 

787.2 

2,349.0 

377.7 

Middletown,  Ct.  M.S.A 

58,952 

(Includes  part  of  Middlesex  County.) 

City  of  Middletown 

39,286 

1,415 

116 

1.299 

1 

15 

45 

55 

436 

744 

119 

Total  area  actually  reporting 

100.0% 

1.926 

157 

1,769 

1 

17 

57 

82 

526 

1,075 

168 

Rate  per  100,000  inhabitants    

3,267.1 

266.3 

3,000.7 

1.7 

28.8 

96.7 

139.1 

892.3 

1,823.5 

285.0 

Midland,  Tx.  M.S.A 

118,511 

(Includes  Midland  County.) 

City  of  Midland 

101,362 

4.828 

425 

4.403 

1 

35 

54 

335 

1.842 

2,273 

288 

Total  area  actually  reporting 

100.0% 

5,799 

547 

5.252 

2 

47 

56 

442 

2,180 

2,736 

336 

Rate  per  100,000  inhabitants 

4,893.2 

461.6 

4,431.7 

1.7 

39.7 

47.3 

373.0 

1.839.5 

2,308.6 

283.5 

Milwaukee,  Wi.  M.S.A 

1,399,369 

(Includes  Milwaukee,  Ozaukee. 

Washington  and  Waukesha  Counties.) 

City  of  Milwaukee5  

623,278 

48,909 

6.135 

42.774 

83 

444 

2,207 

3,401 

8.417 

28,051 

6,306 

Total  area  actually  reporting 

100.0% 

74,883 

7,195 

67.688 

93 

496 

2.479 

4.127 

12,809 

47,347 

7,532 

Rate  per  100,000  inhabitants 

5.351.2 

514.2 

4,837.0 

6.6 

35.4 

177,2 

294.9 

915.3 

3.383.5 

538.2 

Minneapolis-Saint  Paul,  Mn.-Wi. 

M.S.A 

2,251,864 

(Includes  Anoka,  Carver,  Chisago, 

Dakota,  Hennepin,  Isanti,  Ramsey, 

Scott,  Washington  and  Wnght 

Counties,  Mn.,  and  Saint  Croix 

County.  Wi.) 

City  of: 

Minneapolis 

362,845 

41,794 

5,959 

35.835 

44 

492 

2.801 

2.622 

10.750 

20.917 

4,168 

Saint  Paul 

269,250 

21,326 

2,401 

18,925 

12 

239 

794 

1.356 

6,605 

10,994 

1,326 

Total  area  actually  reporting 

100.0% 

128.440 

10,214 

118,226 

77 

974 

4,100 

5,063 

30,405 

78,492 

9,329 

Rate  per  100,000  inhabitants 

5.703.7 

453.6 

5,250.1 

3.4 

43.3 

182.1 

224.8 

1,350.2 

3,485.6 

414.3 

Mobile,  Al.  M.S.A 

473,005 

(Includes  Baldwin  and  Mobile 

Counties.) 

City  of  Mobile6 

208.148 

20,133 

3.525 

16,608 

47 

124 

798 

2,556 

7,949 

7,683 

976 

Total  area  actually  reporting 

100.0% 

30,697 

5.050 

25,647 

73 

191 

1.052 

3.734 

11,143 

13,043 

1.461 

Rate  per  100,000  inhabitants 

6.489.8 

1,067.6 

5,422.1 

15.4 

40.4 

222.4 

789.4 

2.355.8 

2,757.5 

308.9 

Modesto,  Ca.  M.S.A 

311,378 

(Includes  Stanislaus  County.) 

City  of  Modesto 

128.715 

11,116 

706 

10,410 

61 

244 

395 

2.904 

6,781 

725 

Total  area  actually  reporting 

100.0% 

23,570 

1,952 

21,618 

22 

126 

445 

1.359 

6.896 

13,442 

1.280 

Rate  per  100.000  inhabitants 

7,569.6 

626.9 

6,942.7 

7.1 

40.5 

142.9 

4364 

2.214.7 

4,316.9 

411.1 

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

913,198 

(Includes  Monmouth  and  Ocean 
Counties.) 

Total  area  actually  reporting 

100.0% 

39,223 

3.048 

36,175 

17 

241 

682 

2,108 

8.681 

24,467 

3,027 

Rate  per  100,000  inhabitants 

4,295.1 

333.8 

3,961.4 

1.9 

26.4 

74.7 

230.8 

950.6 

2,679.3 

331.5 

APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1986  —  Continued 

Metropolitan  Statistical  Area 

Population 

S 

Modified 
Cnme 

Violent 

Property 

Murder 
negligent 

rape 

...» 

Aggra- 
vated 

Burglary 

theft 

theft 

W 

Monroe    La    M  S  A 

143,883 

(Includes  Ouachita  Parish.) 

City  of  Monroe 

56,451 

4,476 

865 

3,611 

3 

32 

69 

761 

1,093 

2,367 

151 

Total  area  actually  reporting 

100.0% 

7,101 

1.092 

6,009 

12 

65 

93 

922 

1,762 

4,014 

233 

Rate  per  100,000  inhabitants 

4,935.3 

758.9 

4,176.3 

8.3 

45.2 

64.6 

640.8 

1,224.6 

2,789.8 

161.9 

Montgomery,  Al.  M.S.A 

292,173 

(Includes  Autauga,  Elmore  and 

Montgomery  Counties.) 

City  of  Montgomery  

187,873 

10,185 

395 

9,790 

21 

28 

174 

172 

2,189 

7,102 

499 

Total  area  actually  reporting 

99.6% 

13,333 

908 

12,425 

31 

53 

233 

591 

3,071 

8,720 

634 

Estimated  total 

100.0% 

13,400 

917 

12.483 

31 

53 

235 

598 

3,086 

8,759 

638 

Rate  per  100,000  inhabitants     ... 

4,586.3 

313.9 

4,272.5 

10.6 

18.1 

80.4 

204.7 

1,056.2 

2,997.9 

218.4 

156,828 

(Includes  Muskegon  County.) 

City  of  Muskegon 

39,843 

4,755 

1,096 

3,659 

3 

44 

100 

949 

916 

2,616 

127 

Total  area  actually  reporting 

100.0% 

9,985 

1.558 

8,427 

5 

90 

167 

1,296 

2,046 

6,050 

331 

Rate  per  100,000  inhabitants 

6.366.8 

993.4 

5,373.4 

3.2 

57.4 

106.5 

826.4 

1,304.6 

3.857.7 

211.1 

Naples,  Fl.  M.S.A 

117,857 

(Includes  Collier  County.) 

City  of  Naples         

20,654 

1.588 

120 

1,468 

1 

7 

38 

74 

240 

1,170 

58 

Total  area  actually  reporting 

100.0% 

7,366 

685 

6,681 

12 

64 

189 

420 

2,052 

4,259 

370 

Rate  per  100,000  inhabitants 

6,249.9 

581.2 

5,668.7 

10.2 

54.3 

160.4 

356.4 

1,741.1 

3,613.7 

313.9 

Nashua,  N.H.  M.S.A 

157,602 

(Include  part  of  Hillsborough  and 

Rockingham  Counties.) 

City  of  Nashua 

76,188 

2,863 

83 

2,780 

4 

41 

26 

12 

505 

1,986 

289 

Total  area  actually  reporting 

100.0% 

4,634 

196 

4,438 

6 

59 

32 

99 

875 

3,156 

407 

Rate  per  100,000  inhabitants 

2,940.3 

124.4 

2,816.0 

3.8 

37.4 

20.3 

62.8 

555.2 

2,002.5 

258.2 

Nashville,  Tn.  M.S.A 

892,227 

(Includes  Cheatham,  Davidson, 

Dickson,  Robertson,  Rutherford, 

Sumner,  Williamson  and  Wilson 

Counties.) 

City  of  Nashville 

470,906 

38,240 

4,218 

34,022 

93 

410 

1,953 

1,762 

11,380 

19,730 

2,912 

Total  area  actually  reporting 

87.3% 

48.793 

5,247 

43,546 

114 

491 

2,120 

2,522 

14,232 

25,755 

3,559 

Estimated  total  

100.0% 

52,074 

5,523 

46,551 

121 

523 

2,171 

2,708 

15,308 

27,401 

3.842 

Rate  per  100,000  inhabitants 

5,836.4 

619.0 

5,217.4 

13.6 

58.6 

243.3 

303.5 

1,715.7 

3,071.1 

430.6 

Newark,  N.J.  M.S.A 

1,901,657 

(Includes  Essex,  Moms,  Sussex  and 

Union  Counties.) 

City  of  Newark  

318,801 

40,477 

10,160 

30,317 

113 

589 

5,464 

3,994 

5,654 

11,745 

12.918 

Total  area  actually  reporting 

100.0% 

116,990 

18,572 

98,418 

191 

1,069 

9,802 

7,510 

20,838 

51,430 

26,150 

Rate  per  100,000  inhabitants 

6,152.0 

976.6 

5,175.4 

10.0 

56.2 

515.4 

394.9 

1,095.8 

2,704.5 

1,375.1 

New  Bedford,  Ma.  M.S.A 

171,939 

(Includes  part  of  Bristol  and 

Plymouth  Counties.) 

City  of  New  Bedford 

98,318 

5,921 

790 

5.131 

2 

25 

208 

555 

1,634 

2,537 

960 

Total  area  actually  reporting 

88.8% 

8,366 

874 

7,492 

2 

27 

227 

618 

2,317 

3.708 

1,467 

Estimated  total 

100.0% 

9.000 

920 

8,080 

2 

30 

238 

650 

2,468 

4,034 

1.578 

Rate  per  100,000  inhabitants 

5,234.4 

535.1 

4,699.3 

1.2 

17.4 

138.4 

378.0 

1,435.4 

2,346.2 

917.8 

New  Britain,  Ct.  M.S.A 

144,664 

(Includes  part  of  Hartford  County.) 

City  of  New  Britain 

73,337 

5,494 

448 

5,046 

3 

33 

248 

164 

1,361 

3.303 

382 

Total  area  actually  reporting 

100.0% 

7.851 

534 

7,317 

3 

48 

275 

208 

1,996 

4,763 

558 

Rate  per  100,000  inhabitants 

5,427.1 

369.1 

5,057.9 

2.1 

33.2 

190.1 

143.8 

1,379.7 

3,292.5 

385.7 

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

540,394 

(Includes  part  of  Middlesex  and  New 

Haven  Counties.) 

City  of: 

New  Haven  

125,558 

14,416 

2,274 

12,142 

17 

138 

1,174 

945 

3.455 

7,206 

1,481 

Meriden 

58,629 

2,544 

123 

2,421 

1 

15 

58 

49 

758 

1,505 

158 

Total  area  actually  reporting       . 

100.0% 

30,213 

2,983 

27,230 

25 

188 

1,440 

1,330 

7,453 

17.080 

2.697 

Rate  per  100,000  inhabitants 

5,590.9 

552.0 

5,038.9 

46 

34.8 

2665 

246.1 

1,379.2 

3.160.7 

499.1 

New  London-Norwich,  Ct.-R.I. 

M.S.A 

273,419 

(Includes  part  of  New  London  and 

Windham  Counties,  Ct.,  and 

Washington  County,  R.I.) 

City  of: 

New  London  

28,799 

2,332 

174 

2,158 

1 

7 

87 

79 

729 

1,249 

180 

Norwich  

38,829 

1.798 

129 

1.669 

2 

7 

76 

372 

1,169 

128 

Total  area  actually  reporting 

100.0% 

9,899 

667 

9,232 

7 

57 

181 

422 

2,622 

5,932 

678 

Rale  per  100,000  inhabitants 

3,620.5 

243.9 

3,376.5 

2.6 

20.8 

662 

154.3 

959.0 

2,169.6 

248.0 

APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1986  —  Continued 

Metropolitan  Statistical  Area 

— 

5 

Modified 
Crime 
Index 

25' 

Properly 

negligent 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 

Burglary 

theft 

thefi 

ArW 

New  Orleans,  La.  M.S.A 

1,330,143 

(Includes  Jefferson,  Orleans.  Saint 

Bernard,  Saint  Charles,  Saint  John  the 

Baptist  and  Saint  Tammany  Parishes.) 

City  of  New  Orleans 

563,927 

56.889 

9,165 

47,724 

197 

456 

5,165 

3.347 

11.561 

26,697 

9,466 

Total  area  actually  reporting 

83.1% 

94.346 

13.135 

81,211 

250 

684 

6.397 

5,804 

20.659 

48,178 

12.374 

Estimated  total... 

100.0% 

107,069 

14,417 

92,652 

266 

755 

6.653 

6.743 

23,534 

56.094 

13.024 

Rate  per  100,000  inhabitants 

8.049.4 

1.083.9 

6,965.6 

20.0 

56.8 

500.2 

506.9 

1,769.3 

4.217.1 

979.1 

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

8,394.246 

(Includes  Bronx,  Kings,  New  York, 

Putnam,  Queens,  Richmond,  Rockland 

and  Westchester  Counties.) 

City  of  New  York 

7,179,609 

635,199 

143,251 

491,948 

1.582 

3.536 

80.827 

57,306 

124.382 

281,713 

85,853 

Total  area  actually  reporting 

99.4% 

680,116 

147,162 

532,954 

1.614 

3,692 

82,544 

59,312 

133,720 

309,051 

90,183 

Estimated  total 

100.0% 

681.700 

147,280 

534,420 

1,616 

3,698 

82,583 

59,383 

134,070 

310,047 

90,303 

Rate  per  100,000  inhabitants 

8,121.0 

1,754.5 

6,366.5 

19.3 

983.8 

707.4 

1,597.2 

3,693.6 

1.075.8 

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

219,946 

(Includes  Niagara  County.) 

City  of  Niagara  Falls 

66,578 

4,217 

344 

3,873 

5 

48 

171 

120 

1,154 

2.500 

219 

Total  area  actually  reporting 

100.0% 

9.178 

763 

8,415 

11 

80 

234 

438 

2.342 

5,618 

455 

Rate  per  100,000  inhabitants 

4,172.8 

346.9 

3,825.9 

5.0 

36.4 

106.4 

199.1 

1.064.8 

2.554.3 

206.9 

Norfolk-Virginia  Beach-Newport 

News,  Va.  M.S.A 

1,295.067 

(Includes  Gloucester,  James  City  and 

York  Counties,  and  Chesapeake. 

Hampton,  Newport  News,  Norfolk. 

Portsmouth,  Poquoson.  Suffolk. 

Virginia  Beach,  and  Williamsburg 

Cities.) 

City  of: 

Norfolk 

287.199 

19.255 

2,207 

17.048 

46 

177 

1.050 

934 

4,236 

1  1,644 

1,168 

Virginia  Beach 

316,959 

17.712 

736 

4,474 
1.891 

753 
559 

Newport  News 

158.714 

8,141 

875 

7^266 

15 

77 

339 

444 

4.816 

Total  area  actually  reporting 

100.0% 

70.965 

6,119 

64,846 

131 

548 

2,485 

2,955 

16,359 

44,832 

3.655 

Rate  per  100,000  inhabitants 

5,479.6 

472.5 

5,007.2 

10  1 

42.3 

191.9 

228.2 

1,263.2 

3,461.8 

282.2 

Norwalk,  Ct.  M.S.A 

128,968 

(Includes  part  of  Fairfield  County  ) 

City  of  Norwalk 

79.051 

5.286 

246 

5,040 

3 

7 

125 

1  11 

1.487 

3.104 

449 

Total  area  actually  reporting 

100.0% 

6.886 

268 

6,618 

3 

8 

134 

123 

1.801 

4,284 

533 

Rate  per  100.000  inhabitants 

5,339.3 

207.8 

5,131.5 

2.3 

6.2 

103.9 

95.4 

1.396.5 

3,321.8 

413.3 

Oakland,  Ca.  M.S.A 

1,970,633 

(Includes  Alameda  and  Contra  Costa 

Counties.) 

City  of  Oakland 

370,556 

45,947 

6.985 

129 

538 

Total  area  actually  reporting 

100.0% 

148.801 

17,724 

131,077 

228 

1,081 

7.753 

8,662 

36^579 

83,266 

11,232 

Rate  per  100,000  inhabitants 

7,550.9 

899.4 

6,651.5 

11.6 

54.9 

393.4 

439.6 

1,856.2 

4,225.3 

570.0 

Ocala,  Fl.  M.S.A 

165,493 

(Includes  Manon  County.) 

City  of  Ocaia 

45,605 

5.797 

520 

5.277 

4 

25 

187 

304 

1,696 

3,403 

178 

Total  area  actually  reporting 

100.0% 

10.923 

1,306 

9,617 

11 

79 

290 

926 

3,656 

5,588 

373 

Rate  per   100.000  inhabitants 

6,600.3 

789.2 

5.811.1 

47.7 

175.2 

559.5 

2,209.2 

3,376.6 

225.4 

Odessa,  Tx.  M.S.A 

150,743 

(Includes  Ector  County.) 

City  of  Odessa 

113.404 

10.575 

624 

9,951 

14 

51 

148 

411 

2.876 

6.671 

404 

Total  area  actually  reporting 

100.0% 

12.638 

746 

11.892 

19 

92 

175 

460 

3.589 

7.746 

557 

Rate  per  100,000  inhabitants 

8.383.8 

494.9 

7.888.9 

12.6 

61.0 

116.1 

305.2 

2,380.9 

5,138.5 

369.5 

Oklahoma  City,  Ok.  M.S.A 

964,810 

(Includes  Canadian.  Cleveland,  Logan, 

McClain,  Oklahoma  and  Pottawatomie 

Counties.) 

City  of  Oklahoma  City 

444,119 

57,394 

4.239 

53,155 

60 

425 

1.484 

2.270 

17,048 

29,404 

6,703 

Total  area  actually  reporting 

100.0% 

89,330 

5,934 

83,396 

104 

563 

1,908 

3,359 

26.483 

47,515 

9,398 

Rate  per   100,000  inhabitants 

9,258.8 

615.0 

8,643.8 

10.8 

58.4 

197.8 

348.2 

2,744.9 

4,924.8 

974.1 

Olympia,  Wa.  M.S.A 

141,969 

(Includes  Thurston  County.) 

City  of  Olympia 

29.941 

2,210 

65 

2,145 

3 

16 

16 

30 

342 

1.704 

99 

Total  area  actually  reporting 

99.0% 

7,185 

303 

6,882 

8 

75 

172 

1.763 

4,795 

324 

Estimated  total 

100.0% 

7.301 

308 

6,993 

8 

76 

49 

175 

1.787 

4.877 

329 

Rate  per  100,000  inhabitants 

5,142.7 

216.9 

4,925.7 

5.6 

53.5 

34.5 

123.3 

1,258.7 

3.435.3 

231.7 

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

603,051 

(Includes  Douglas,  Sarpy  and 

Washington  Counties,  No.,  and 

Pottawattamie  County,  la.) 

City  of  Omaha 

332,368 

22.511 

2.726 

19,785 

30 

225 

627 

1.844 

4.643 

13,927 

1,215 

Total  area  actually  reporting 

100.0% 

31.115 

3.267 

27,848 

38 

273 

765 

2.191 

6,647 

19,456 

1.745 

Rate  per  100,000  inhabitants 

5.159.6 

541.7 

4,617.9 

6.3 

45.3 

126.9 

363.3 

1.102.2 

3,226.3 

289.4 

See  footnotes  at  end  of  table. 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1986  —  Continued 

Murder 

Metropolitan  Statistical  Area 

Population 

Sf 

Index 

Violent 

psy 

and  non- 
neghgent 

Forcible 
rape 

Robbery 

Aggra- 

Burglary 

us~ 

vehicle 
theft 

Arson' 

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

274,113 

(Includes  only  Orange  County.) 

Total  area  actually  reporting 

97.8% 

10,171 

1,146 

9,025 

10 

63 

308 

765 

2.677 

5.832 

516 

Estimated  total 

100.0% 

10,378 

1,162 

9,216 

10 

64 

313 

775 

2,720 

5.966 

530 

Rate  per  100,000  inhabitants 

3,786.0 

423.9 

3,362.1 

36 

23.3 

114.2 

282.7 

992  3 

2,1765 

1934 

Orlando,  Fl.  M.S.A 

876,632 

(Includes  Orange,  Osceola  and 

Seminole  Counties.) 

City  of  Orlando 

145,882 

17,797 

3.416 

14,381 

14 

172 

1.229 

2,001 

4.335 

9,134 

912 

Total  area  actually  reporting 

100.0% 

66.952 

9.195 

57,757 

63 

451 

2,833 

5,848 

17,497 

36,635 

3,625 

Rate  per  100,000  inhabitants 

7,637.4 

1,048.9 

6,588.5 

7.2 

51.4 

323.2 

667  1 

1.995.9 

4.179.1 

413.5 

Owensboro,  Ky.  M.S.A 

88,387 

(Includes  Daviess  County.) 

City  of  Owensboro 

55,797 

2,813 

87 

2,726 

5 

30 

25 

27 

702 

1.903 

121 

Total  area  actually  reporting 

100.0% 

3,367 

115 

3.252 

5 

32 

28 

50 

900 

2,210 

142 

Rate  per  100,000  inhabitants 

3.809.4 

130.1 

3.679.3 

5.7 

36.2 

31.7 

1.018.2 

2,500.4 

160.7 

Oxnard-Ventura,  Ca.  M.S.A 

615,734 

(Includes  Ventura  County.) 

City  of: 

127,578 

8,476 

1.145 

7.331 

13 

398 

640 

2,234 

4,466 

631 

Ventura ..                 

91.038 

5,087 

493 

4,594 

6 

32 

168 

287 

1,272 

2,984 

338 

Total  area  actually  reporting 

100.0% 

26,460 

2,901 

23,559 

41 

205 

830 

1,825 

7,252 

14,408 

1,899 

Rate  per  100,000  inhabitants 

4,297.3 

471.1 

3,826.2 

6.7 

33.3 

134.8 

296.4 

1,177.8 

2,340.0 

308.4 

Panama  City,  Fl.  M.S.A 

115,421 

(Includes  Bay  County.) 

City  of  Panama  City 

36,237 

3,628 

223 

3.405 

7 

25 

54 

137 

654 

2,609 

142 

Total  area  actually  reporting 

100.0% 

7.503 

619 

6,884 

16 

85 

115 

403 

1,658 

4,787 

439 

Rate  per  100,000  inhabitants 

6.500.6 

536.3 

5,964.3 

13.9 

73.6 

996 

349,2 

1,436.5 

4,147.4 

380.3 

Parkersburg-Marietta,  W.V.-Oh. 

M.S.A 

156,269 

(Includes  Wood  County,  W.V.,  and 

Washington  County.  Oh.) 

City  of: 

Parkersburg,  W.V 

38.707 

1,810 

104 

1,706 

15 

37 

49 

456 

1,130 

120 

Marietta,  Oh 

16,509 

424 

55 

369 

1 

6 

9 

39 

97 

244 

28 

Total  area  actually  reporting 

99.5% 

4.087 

228 

3,859 

5 

29 

62 

132 

1,026 

2,615 

218 

Estimated  total 

100.0% 

4,115 

229 

3,886 

5 

29 

62 

133 

1,031 

2,635 

220 

Rate  per  100,000  inhabitants 

2,633.3 

146.5 

2,486.7 

3.2 

18.6 

39.7 

85.1 

659.8 

1.686.2 

140.8 

Pascagoula,  Ms.  M.S.A 

124,843 

(Includes  Jackson  County.) 

City  of  Pascagoula 

30,398 

2,510 

264 

2,246 

20 

51 

192 

676 

1,460 

110 

Total  area  actually  reporting 

100.0% 

5,744 

437 

5.307 

4 

40 

86 

307 

1.745 

3,281 

281 

Rate  per  100,000  inhabitants 

4,601.0 

350.0 

4,250.9 

3.2 

32.0 

68.9 

245.9 

1,397.8 

2,628.1 

225.1 

Pensacola,  Fl.  M.S.A 

338,971 

(Includes  Escambia  and  Santa  Rosa 

Counties.) 

City  of  Pensacola 

65.945 

4,914 

658 

4.256 

11 

38 

157 

452 

1,268 

2.830 

158 

Total  area  actually  reporting  

100.0% 

22,321 

3,270 

19,051 

28 

248 

585 

2,409 

5,702 

12.373 

976 

Rate  per  100,000  inhabitants 

6,584.9 

964.7 

5,620.2 

8.3 

73.2 

172.6 

710.7 

1,682.1 

3,650.2 

287.9 

Peoria,  11.  M.S.A.4 

357,160 

(Includes  Peoria,  Tazewell  and 

Woodford  Counties.) 

City  of  Peoria 

117,530 

9,788 

1,293 

8,495 

4 

50 

258 

981 

2,360 

5,875 

260 

Total  area  actually  reporting 

99.6% 

13,459 

5 

288 

1,221 

3,729 

9,299 

431 

Estimated  total 

100.0% 

13,523 

289 

1,224 

3,743 

9,343 

437 

Rate  per  100,000  inhabitants 

3,786.3 

1.4 

80.9 

342.7 

1,048.0 

2,615.9 

122.4 

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

4,779,659 

(Includes  Bucks,  Chester,  Delaware, 

Montgomery  and  Philadelphia 

Counties,  Pa.,  and  Burlington. 

Camden  and  Gloucester  Counties, 
N.J.) 

City  of  Philadelphia 

1.645,144 

86,094 

17,207 

68,887 

343 

1,086 

9.647 

6,131 

19.174 

36,619 

13.094 

Total  area  actually  reporting 

99.9% 

204.040 

29,100 

174,940 

465 

1,818 

13,081 

13,736 

44.809 

105,118 

25.013 

Estimated  total 

100.0% 

204,142 

29,108 

175,034 

465 

1.818 

13,083 

13,742 

44,830 

105,182 

25,022 

Rate  per  100,000  inhabitants 

4,271.1 

6090 

3,662.1 

9.7 

38.0 

273.7 

287.5 

937.9 

2,200.6 

523.5 

Phoenix,  Az.  M.S.A 

1,863,102 

(Includes  Maricopa  County.) 

City  of  Phoenix 

927,055 

89,374 

9,238 

80,136 

122 

567 

2,972 

5,577 

25,586 

48,896 

5.654 

Total  area  actually  reporting 

100.0% 

153,004 

13,684 

139,320 

186 

888 

3,997 

8,613 

40.246 

89,962 

9.112 

Rate  per  100,000  inhabitants 

8,212.3 

734.5 

7,477.9 

10.0 

47.7 

214.5 

462.3 

2.160.2 

4,828.6 

489.1 

Pine  Bluff,  Ar.  M.S.A 

91,443 

(Includes  Jefferson  County.) 

City  of  Pine  Bluff 

56,403 

3,820 

569 

3,251 

7 

27 

89 

446 

2,165 

135 

Total  area  actually  reporting 

100.0% 

4.492 

654 

3,838 

7 

41 

94 

512 

1.197 

2.477 

Rate  per  100,000  inhabitants 

4,912.3 

715.2 

4,197.2 

7.7 

44.8 

102.8 

559.9 

1.309.0 

2.708.8 

179.3 

APPENDIX  IV  — Index  of  Crime,  Metropolitan  Statistical  Areas,  1986  —  Continued 


SuiMk.il   Art.. 


Pittsburgh,  Pa.  M.S.A 

(Includes  Allegheny,  Fayette, 
Washington  and  Westmoreland 
Counties.) 

City  of  Pittsburgh 

Total  area  actually  reporting 

Estimated  total  

Rate  per  100.000  inhabitants 

Pittsfield,  Ma.  M.S.A 

(Includes  part  of  Berkshire  County.) 

City  of  Pittsfield 

Total  area  actually  reporting 

Rate  per  100.000  inhabitants 

Portland,  Me.  M.S.A 

(Includes  part  of  Cumberland  and 
York  Counties.) 

City  of  Portland 

Total  area  actually  reporting 

Rate  per  100.000  inhabitants 

Portland,  Or.  M.S.A 

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

City  of  Portland  

Total  area  actually  reporting 
Rate  per  100.000  inhabitants 
Portsmouth-Dover-Rochester,  N.H.- 

Me.  M.S.A 

(Includes  Rockingham  and  Strafford 
Counties.  N.H..  and  York  County, 
Me.) 

City  of: 
Portsmouth 

Rochester 
Total  area  actually  reporting 
Rate  per  100.000  inhabitants 

Poughkeepsie,  N.Y.  M.S.A 

(Includes  Dutchess  County.) 

City  of  Poughkeepsie 

Total  area  actually  reporting 
Rate  per  100.000  inhabitants 

Providence,  R.I.  M.S.A 

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

City  of  Providence 

Total  area  actually  reporting 

Estimated  total 

Rate  per  100.000  inhabitants 

Provo-Orem,  Ut.  M.S.A 

(Includes  Utah  County.) 
City  of: 

Total  area  actually  reporting 
Rate  per  100.000  inhabitants 

Pueblo,  Co.  M.S.A 

(Includes  Pueblo  County.) 

City  of  Pueblo 

Total  area  actually  reporting 
Rate  per  100.000  inhabitants 

Racine,  Wi.  M.S.A 

(Includes  Racine  County.) 

City  of  Racine 

Total  area  actually  reporting 
Rate  per  100,000  inhabitants 

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

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

Raleigh 

Durham 

Total  area  actually  reporting 

Estimated  total       

Rate  per  100.000  inhabitants 
See  footnotes  at  end  of  table. 


50.639 
87.2% 

KMiii-; 


156,251 
99.3% 
100.0% 


173,901 
104.750 
99.8% 

1000% 


32,008 
68,704 
69.377 


2,380 

2,810 

2.752.4 


35,229 
35,381 
5.491.5 


7,253 
9,669 

5.540.8 


9,826 
34,987 
35.057 
5.60621 


2.651 
2,659 
425.2 


5t..s5H 
94.926 

s.:7M ; 


32.336 
32,398 
5.181.0 


3,887 
4.510 
393.3 


4.433 
5,324 
464.3 


15.829 
15.965 
736.0 


17,236 
29.775 
2.596.9 


2,284 
2,690 
8,692 


29,894 
30,316 
1,3975 


35.722 
58.463 
5.099.C 


3.987 
5,587 
3.201  6 


7,712 
6,049 
21.758 
21,800 
3,486.2 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1986  —  Continued 

Metropolitan  Statistical  Area 

— 

s 

Modified 

Violent 

Property 

"man-"' 

Forcible 

Robbery 

Aggra- 

Burglary 

1ST 

theft 

A.W 

Rapid  City,  S.D.  M.S.A 

74,949 

(Includes  Pennington  County.) 

City  of  Rapid  City 

49,300 

3,859 

249 

3,610 

3 

28 

47 

171 

660 

2,797 

153 

Total  area  actually  reporting  . 

100.0% 

4.476 

317 

4,159 

3 

43 

50 

221 

815 

3.156 

188 

Rate  per  100,000  inhabitants 

5,972.1 

423.0 

5,549.1 

4.0 

57,4 

66.7 

294.9 

1,087.4 

4,210.9 

250.8 

Reading,  Pa.  M.S.A 

316,895 

(Includes  Berks  County.) 

City  of  Reading 

78.290 

5.562 

632 

4,930 

5 

31 

323 

273 

1,751 

2,822 

357 

Total  area  actually  reporting     

96.8% 

9,567 

816 

8.751 

6 

43 

361 

406 

2,730 

5,438 

583 

Estimated  total 

100.0% 

9.827 

837 

8,990 

6 

44 

366 

421 

2,783 

5,601 

606 

Rate  per  100,000  inhabitants 

3,101.0 

264.1 

2,836.9 

1.9 

13.9 

115.5 

132.9 

878.2 

1.767.5 

191.2 

Redding,  Ca.  M.S.A 

133,202 

(Includes  Shasta  County.) 

City  of  Redding 

50,876 

4,153 

387 

3,766 

3 

28 

63 

293 

1,114 

2,420 

232 

Total  area  actually  reporting 

100.0% 

7,712 

803 

6,909 

12 

57 

89 

645 

2,222 

4,270 

417 

Rate  per  100,000  inhabitants 

5,789.7 

602.8 

5,186.9 

9.0 

42.8 

66.8 

484.2 

1.668.1 

3,205.7 

313.1 

Reno,  Nv.  M.S.A 

223,645 

(Includes  Washoe  County.) 

City  of  Reno 

111,665 

9,819 

872 

8,947 

8 

79 

375 

410 

2,470 

5.855 

622 

Total  area  actually  reporting 

100.0% 

14.917 

1,363 

13.554 

16 

181 

476 

690 

3.664 

8,987 

903 

Rate  per  100,000  inhabitants  

6,669.9 

609.4 

6,060.5 

7.2 

212.8 

308.5 

1,638.3 

4,018.4 

403.8 

Richland-Kennewick-Pasco,  Wa. 

M.S.A 

153,048 

(Includes  Benton  and  Franklin 

Counties.) 

City  of: 

Richland 

33,916 

1,517 

49 

1.468 

9 

30 

342 

1.087 

39 

Kennewick 

40,044 

3,676 

126 

3,550 

2 

19 

37 

68 

915 

2,519 

116 

Pasco 

19,585 

2,779 

215 

2.564 

5 

15 

67 

128 

780 

1,677 

107 

Total  area  actually  reporting 

100.0% 

9,799 

506 

9,293 

11 

59 

119 

317 

2.758 

6.202 

333 

Rate  per  100,000  inhabitants 

6,402.6 

330.6 

6,072.0 

7.2 

38.5 

77.8 

207.1 

1,802.0 

4,052.3 

217.6 

Richmond-Petersburg,  Va.  M.S.A 

817,462 

(Includes  Colonial  Heights,  Hopewell, 

Petersburg  and  Richmond  Cities  and 

Charles  City,  Chesterfield,  Dinwiddle, 

Goochland.  Hanover,  Henrico,  New 

Kent,  Powhatan  and  Prince  George 

Counties.) 

City  of: 

Richmond 

224,943 

18,257 

2,586 

15.671 

82 

207 

1.017 

1,280 

4,481 

10,051 

1.139 

Petersburg 

41,881 

3,032 

315 

2,717 

4 

24 

116 

171 

736 

1.863 

118 

Total  area  actually  reporting 

100.0% 

41,013 

3,962 

37,051 

108 

367 

1,418 

2,069 

9,210 

25,633 

2,208 

Rate  per  1 00.000  inhabitants 

5,017.1 

484.7 

4,532.4 

13.2 

44.9 

173.5 

253.1 

1,126.7 

3,135.7 

270.1 

Riverside-San  Bernardino,  Ca. 

M.S.A 

1,906,891 

(Includes  Riverside  and  San 

Bernardino  Counties.) 

City  of: 

Riverside 

191,908 

16,845 

2,166 

14,679 

25 

122 

633 

1,386 

5,011 

8,346 

1,322 

137,304 

16,337 

2,341 

13,996 

32 

94 

968 

1,247 

4,918 

7,484 

1,594 

Total  area  actually  reporting 

100.0% 

141,770 

18,047 

123,723 

217 

824 

4,606 

12,400 

45,598 

65,379 

12,746 

Rate  per  100,000  inhabitants 

7,434.6 

946.4 

6,488.2 

11.4 

43.2 

241.5 

650.3 

2,391.2 

3,428.6 

668.4 

Roanoke,  Va.  M.S.A 

228,634 

(Includes  Roanoke  and  Salem  Cities, 

and  Botetourt  and  Roanoke  Counties.) 

City  of  Roanoke 

103,394 

7.995 

491 

7.504 

12 

32 

204 

243 

1,730 

5,533 

241 

Total  area  actually  reporting 

100.0% 

11,391 

632 

10,759 

20 

45 

230 

337 

2,328 

8,035 

396 

Rate  per  100,000  inhabitants 

4,982.2 

276.4 

4,705.8 

8.7 

19.7 

100.6 

147.4 

1,018.2 

3,514.4 

173.2 

Rochester,  Mn.  M.S.A 

97,458 

(Includes  Olmsted  County.) 

City  of  Rochester 

58,883 

2.750 

76 

2,674 

14 

26 

36 

457 

2,119 

98 

Total  area  actually  reporting 

100.0% 

3,232 

91 

3,141 

1 

19 

27 

44 

629 

2,378 

134 

Rate  per  100,000  inhabitants 

3,316.3 

93.4 

3,222.9 

1.0 

19,5 

27.7 

45.1 

645.4 

2,440.0 

137.5 

Rochester,  N.Y.  M.S.A 

989,002 

(Includes  Livingston,  Monroe,  Ontario, 

Orleans  and  Wayne  Counties.) 

City  of  Rochester 

243.065 

22,728 

3,163 

19,565 

38 

178 

1.059 

1.8S8 

5.813 

12,476 

1.276 

Total  area  actually  reporting 

100.0% 

46,509 

4.210 

42,299 

53 

266 

1,290 

2.601 

9.930 

30.302 

2.067 

Rate  per  100,000  inhabitants 

4,702.6 

425.7 

4,276.9 

5.4 

26.9 

130.4 

263.0 

1.004.0 

3.063.9 

2090 

Rocktord,  11.  M.S.A.* 

279,793 

(Includes  Boone  and  Winnebago 

Counties.) 

City  of  Rockford4 

137,017 

10,822 

12 

397 

729 

3,737 

6,660 

425 

Total  area  actually  reporting 

100.0% 

16.639 

18 

450 

943 

5.173 

10,825 

641 

Rate  per  100,000  inhabitants 

5.946.9 

6.4 

160.8 

337.0 

1,848.9 

3,868.9 

229  1 

APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1986  —  Continued 


Sacramento,  Ca.  M.S.A 

(Includes  E!  Dorado,  Placer, 
Sacramento  and  Yolo  Counties.) 

City  of  Sacramento 

Total  area  actually  reporting 

Rate  per   100,000  inhabitants 

Saginaw-Bay  City-Midland,  Mi. 

M.S.A 

(Includes  Bay.  Midland  and  Sagin 

City  of: 

Saginaw 

Bay  City 

Midland      

Total  area  actually  reporting 
Rate  per  100,000  inhabitants 

Saint  Cloud,  Mn.  M.S.A 

(Includes  Benton.  Sherburne  and 


i  ,-un 


City  of  Saint  Cloud 

Total  area  actually  reporting 

Rate  per  100.000  inhabitants 

Saint  Joseph,  Mo.  M.S.A 

(Includes  Buchanan  County.) 

City  of  Saint  Joseph 

Total  area  actually  reporting 
Rate  per  100,000  inhabitants 

Saint  Louis,  Mo.-IL  M.S.A 

(Includes  Saint  Louis  City  and 
Franklin,  Jefferson.  Saint  Charles  and 
Saint  Louis  Counties.  Mo.,  and 
Clinton.  Jersey.  Madison.  Monroe,  and 
Saint  Clair  Counties,  II.) 

City  of  Saint  Louis 

Total  area  actually  reporting 

Estimated  total 

Rate  per  100,000  inhabitants 

Salem,  Or.  M.S.A 

(Includes  Marion  and  Polk  Counties.) 

City  of  Salem 

Total  area  actually  reporting 

Estimated  total 

Rate  per  100,000  inhabitants 
Salinas-Seaside-Monterey,  Ca.  M.S.A. 
(Includes  Monterey  County.) 
City  of: 

Salinas 

Seaside 

Monterey 

Total  area  actually  reporting 

Rate  per  100,000  inhabitants 

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

(Includes  Davis,  Salt  Lake  and  Weber 
Counties.) 
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 

San  Antonio,  Tx.  M.S.A 

(Includes  Bexar,  Comal  and 
Guadalupe  Counties.) 

City  of  San  Antonio 

Total  area  actually  reporting 
Rate  per  100,000  inhabitants 

San  Diego,  Ca.  M.S.A 

(Includes  San  Diego  County.) 

City  of  San  Diego 

Total  area  actually  reporting 

Rate  per  100.000  inhabitants 

See  footnotes  at  end  of  table. 


91,123 
99.3% 
100.0% 


92.244 
39.669 
30,271 
100.0% 


35,069 
95,508 

7,436.8 


74,234 

8,011 

40.227 

2,054 

38.199 

1,423 

100.0% 

20,933 

5.045.6 

173,470 

42,582 

2,808 

100.0% 

5,548 

3,198.2 

87,399 

75,732 

4.342 

100.0% 

4.635 

5,303.3 

124.615 
128.379 

5,274.3 


17,755 
17,866 
6,955.0 


2,367 
2,119 

19,486 
5,796.9 


5,143 
5,644 
5,634.9 


100,209 
118.952 
9,592.2 


107,958 
4.577.3 


19,036 

6,319 

64,277 

6.218.1 


71.225 
125.300 
5.765.3 


3.326 
5,246 
5,302 
217.8 


1,319 
1.465 

1.676.2 


12.523 
30.184 
31,187 
1.281.3 


17,533 
33,969 
1.563.0 


17.643 
53,079 
4,133.0 


2,536 
2,656 
3,038.9 


3,432 
3,698 
3.692.0 


40.459 
69,568 
3,201.0 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1986  —  Continued 


Metropolitan  Statistical  Area 

'— 

?„xc 

Modified 
Crime 
Index 

» 

w 

negligent 
slaughter 

Forcible 

— 

Aggra- 
vated 

Burglary 

■sr 

vehicle 

w 

San  Francisco,  Ca.  M.S.A 

1,623,614 

(Includes  Marin,  San  Francisco  and 

San  Mateo  Counties.) 

City  of  San  Francisco 

750.544 

56,637 

9.506 

47,131 

114 

492 

5.085 

3.815 

10.076 

30.223 

6.832 

Total  area  actually  reporting 

100.0% 

98,278 

14,351 

83,927 

161 

689 

6,174 

7,327 

18,003 

56,087 

9,837 

Rate  per   100,000  inhabitants 

6,053.0 

883.9 

5.169.1 

9.9 

42.4 

380.3 

451.3 

1.108.8 

3,454.5 

605.9 

San  Jose,  Ca.  M.S.A 

1,444,241 

(Includes  Santa  Clara  County.) 

City  of  San  Jose 

722.560 

38.979 

4.020 

34,959 

39 

430 

1,126 

2.425 

7,663 

24,241 

3,055 

Total  area  actually  reporting 

100.0% 

73,851 

6,565 

67.286 

59 

671 

1,740 

4,095 

14.411 

47,954 

4.921 

Rate  per  100,000  inhabitants 

5.113.5 

454.6 

4.658.9 

4.1 

46.5 

120.5 

283.5 

997.8 

3.320.4 

340.7 

Santa  Barbara-Santa  Maria- Lorn poc, 

Ca.  M.S.A 

339,895 

(Includes  Santa  Barbara  County.) 

City  of: 

Santa  Barbara 

80.952 

5.070 

547 

4,523 

2 

43 

341 

1.169 

2,937 

417 

Santa  Maria 

48,959 

3,751 

237 

3,514 

4 

23 

48 

162 

789 

2,534 

191 

Lompoc 

30,898 

1,971 

188 

1.783 

4 

10 

36 

138 

432 

1,280 

71 

Total  area  actually  reporting 

100.0% 

17.296 

1,529 

15,767 

11 

120 

313 

1,085 

3.637 

11,167 

963 

Rate  per  100,000  inhabitants 

5.088.6 

449.8 

4,638.8 

3.2 

35.3 

92.1 

319.2 

1,070.0 

3,285.4 

283.3 

Santa  Cruz,  Ca.  M.S.A 

216,729 

(Includes  Santa  Cruz  County) 

City  of  Santa  Cruz 

46,446 

5.050 

403 

4,647 

1 

36 

118 

248 

1,074 

3.309 

264 

Total  area  actually  reporting 

100.0% 

15,002 

1.248 

13,754 

18 

90 

289 

851 

3.918 

8.968 

868 

Rate  per  100,000  inhabitants 

6.922.0 

575.8 

6.346.2 

8.3 

41.5 

133.3 

392.7 

1.807.8 

4,137.9 

400.5 

Santa  Rosa-Petal uma,  Ca.  M.S.A 

343,621 

(Includes  Sonoma  County.) 

City  of: 

Santa  Rosa 

96.160 

6,598 

423 

6.175 

11 

43 

155 

214 

1,751 

4,047 

377 

Petaluma 

38,451 

1.724 

116 

1.608 

9 

40 

67 

545 

985 

78 

Total  area  actually  reporting 

100.0% 

16,973 

1.430 

15.543 

25 

109 

309 

987 

5,002 

9.629 

912 

Rate  per  100,000  inhabitants 

4,939.5 

416.2 

4,523.3 

7.3 

31.7 

89.9 

287.2 

1.455.7 

2,802.2 

265.4 

Sarasota,  Fl.  M.S.A 

249,703 

(Includes  Sarasota  County.) 

City  of  Sarasota 

55,655 

5.643 

659 

4,984 

6 

67 

321 

265 

1,602 

3,193 

189 

Total  area  actually  reporting 

100.0% 

17.069 

1,468 

15,601 

15 

129 

457 

867 

4,617 

10,340 

644 

Rate  per  100,000  inhabitants 

6.835.7 

587.9 

6.247.8 

6.0 

51.7 

183.0 

347,2 

1.849.0 

4,140.9 

257.9 

Savannah,  Ga.  M.S.A 

243,610 

(Includes  Chatham  and  Effingham 

City  of  Savannah 

151,660 

13.390 

1.199 

12.191 

29 

102 

679 

389 

3.609 

8.156 

426 

Total  area  actually  reporting 

100.0% 

17,986 

1,629 

16.357 

40 

136 

776 

677 

4,892 

10,748 

717 

Rate  per  100,000  inhabitants 

7.383.1 

668.7 

6,714.4 

16.4 

55.8 

318.5 

277.9 

2,008.1 

4,412.0 

294.3 

Seattle,  Wa.  M.S.A 

1,735,979 

(Includes  King  and  Snohomish 

Counties.) 

City  of  Seattle 

501,279 

67.740 

6.790 

60,950 

50 

443 

2,792 

3.505 

16,215 

41,625 

3.110 

Total  area  actually  reporting 

99.7% 

140,630 

9.735 

130,895 

96 

1,021 

3,640 

4,978 

36,047 

87.955 

6,893 

Estimated  total 

100.0% 

141,101 

9.754 

131,347 

96 

1.024 

3,645 

4,989 

36.146 

88,286 

6,915 

Rate  per  100,000  inhabitants 

8,128.0 

561.9 

7,566.2 

5.5 

59.0 

210.0 

287.4 

2,082.2 

5,085.7 

398.3 

Sharon,  Pa.  M.S.A 

126,823 

(Includes  Mercer  County.) 

City  of  Sharon 

16.998 

710 

60 

650 

1 

1 

11 

47 

176 

415 

59 

Total  area  actually  reporting 

100.0% 

3,111 

244 

2.867 

3 

16 

40 

185 

635 

2.010 

222 

Rate  per  100,000  inhabitants 

2.453.0 

192.4 

2,260.6 

2.4 

12.6 

31.5 

145.9 

500.7 

1,584.9 

175.0 

Sheboygan,  Wi.  M.S.A 

102,521 

(Includes  Sheboygan  County.) 

City  of  Sheboygan  

47,879 

2,450 

66 

2,384 

6 

11 

49 

422 

1.875 

87 

Total  area  actually  reporting 

94.5% 

3,143 

81 

3,062 

14 

14 

53 

566 

2,378 

118 

Estimated  total 

100.0% 

3,382 

89 

3,293 

14 

16 

59 

606 

2,560 

127 

Rate  per  100,000  inhabitants 

3,298.8 

86.8 

3,212.0 

13.7 

15.6 

57.5 

591.1 

2,497.0 

123.9 

Sherman-Denison,  Tx.  M.S.A 

98,806 

(Includes  Grayson  County.) 

City  of: 

Sherman 

32,571 

3.230 

167 

3,063 

3 

15 

47 

102 

770 

2,118 

175 

Denison 

25,285 

2,518 

295 

2,223 

4 

5 

26 

260 

408 

1.703 

112 

Total  area  actually  reporting 

100.0% 

7,057 

551 

6,506 

9 

32 

82 

428 

1,772 

4,374 

360 

Rate  per  100,000  inhabitants 

7,142.3 

557.7 

6,584.6 

9.1 

32.4 

83.0 

433.2 

1,793.4 

4,426.9 

364.4 

footnotes  at  end  of  table 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1986  —  Continued 


Metropolitan  Statistical  Area 


Vgrj 


Shreveport,  La.  M.S.A 

(Includes  Bossier,  and  Caddo 
Parishes.) 

City  of  Shreveport 

Total  area  actually  reporting 

Rate  per  100,000  inhabitants 

Sioux  City,  Ia-Nb.  M.S.A 

(Includes  Woodbury  County,  la-,  and 
Dakota  County.  Nb.) 
City  of  Sioux  City 
Total  area  actually  reporting 
Rate  per  100.000  inhabitants 

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

(Includes  Minnehaha  County.) 

City  of  Sioux  Falls 

Total  area  actually  reporting 

Rate  per  100,000  inhabitants 
South  Bend-Mishawaka,  In.  M.S.A.. 
(Includes  Saint  Joseph  County.) 
City  of: 

South  Bend 

Mishawaka 

Total  area  actually  reporting 
Rate  per  100.000  inhabitants 

Spokane,  Wa.  M.S.A 

(Includes  Spokane  County.) 
City  of  Spokane 
Total  area  actually  reporting 

Estimated  total 

Rate  per  100,000  inhabitants 

Springfield,  II.  M.S.A.4 

(Includes  Menard  and  Sangamon 
Counties.) 

City  of  Springfield4 

Total  area  actually  reporting 

Rate  per  100,000  inhabitants 

Springfield,  Mo.  M.S.A 

(Includes  Christian  and  Greene 
Counties.) 

City  of  Springfield 

Total  area  actually  reporting 
Rate  per  100.000  inhabitants 

Springfield,  Ma.  M.S.A 

(Includes  part  of  Hampden  and 
Hampshire  Counties.) 
City  of  Springfield 
Total  area  actually  reporting 

Estimated  total 

Rate  per  100,000  inhabitants 

Stamford,  Ct.  M.S.A 

(Includes  part  of  Fairfield  County.) 

City  of  Stamford 

Total  area  actually  reporting 
Rate  per  100,000  inhabitants 

State  College,  Pa.  M.S.A 

(Includes  Centre  County.) 
City  of  State  College 
Total  area  actually  reporting 

Rate  per  100,000  inhabitants 

SteubenTille-Weirton,  Oh.-W.V. 

M.S.A 

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

Steubenville 

Weirton 
Total  area  actually  reporting 

Estimated  total 

Rate  per  100,000  inhabitants 

Stockton,  Ca.  M.S.A 

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


100  0% 
240,025 


177.893 
96.3% 

100  ir; 


151,347 
98.9% 
100.0% 

199,085 


114,353 

44.437 


24.340 
23.483 
66.7% 

100  0% 


21,016 
27,518 
7,560.4 


20,315 
20,509 
3,888.3 


36^238 
8.63291 


2,037 
3,230 
769.5 


6.619 
17.607 
17.787 
3.372  3 


2.730 
5.691 

5.737 
,087.7 


5,477 
10.201 
2.430.2 


2.009 

9.835 

4,097.: 


9,399 
13.553 
14.312 
3.952.5 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1986  —  Continued 


Murder 
and  non- 
negligent 

slaughter 


Aggra- 


Syracuse,  N.Y.  M.S.A 

(Includes  Madison,  Onondaga  and 
Oswego  Counties.) 

City  of  Syracuse 

Total  area  actually  reporting 
Rate  per  100,000  inhabitants 

Tacoma,  Wa.  M.S.A 

(Includes  Pierce  County.) 

City  of  Tacoma 

Total  area  actually  reporting 

Estimated  total 

Rate  per  100,000  inhabitants 

Tallahassee,  Fl.  M.S.A 

(Includes  Gadsden  and  Leon 
Counties.) 

City  of  Tallahassee 

Total  area  actually  reporting 

Rate  per  100,000  inhabitants  

Tampa-Saint  Petersburg-Clearwater, 

Fl.  M.S.A 

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

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.  Tx 

Texarkana,  Ar 

Total  area  actually  reporting 
Rate  per  100,000  inhabitants 

Toledo,  Oh.  M.S.A 

(Includes  Fulton,  Lucas  and  Wood 
Counties.) 

City  of  Toledo 

Total  area  actually  reporting 

Estimated  total 

Rate  per  100,000  inhabitants 

Topeka,  Ks.  M.S.A 

(Includes  Shawnee  County.) 
City  of  Topeka 
Total  area  actually  reporting 

Rate  per  100,000  inhabitants 

Trenton,  N.J.  M.S.A 

(Includes  Mercer  County.) 

City  of  Trenton 

Total  area  actually  reporting 

Rate  per  100.000  inhabitants 

Tucson,  Az.  M.S.A 

(Includes  Pima  County.) 

City  of  Tucson 

Total  area  actually  reporting 

Rate  per  100.000  inhabitants 

Tulsa,  Ok.  M.S.A 

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

City  of  Tulsa 

Total  area  actually  reporting 

Rate  per  100.000  inhabitants 

See  footnotes  at  end  of  table. 


293,030 
256,667 
102,410 

100.0% 


12,365 
17,072 

7.-'2».5 


48,294 
24,268 
7.704 


34,339 

3,445 

22.641 

2.805 

100.0% 

8.071 

6,599.2 

610,824 

343,939 

27.415 

98.5% 

37.130 

100.0% 

37.490 

38,840 
50,952 
7,884.0 


35,984 
48.178 
6.625.9 


20,161 
37,869 
38.369 
7.243.0 


8,147 

40,147 

4,033 

20,235 

657 

7,047 

20,002 

138,066 

,038.4 

7,167.4 

24.955 
34,142 
34,481 
5.645.0 


7,626 
17,602 
5.528.0 


3.248 
4.588 
2,077.3 


12.963 
23,272 
23,638 

4,462.2 


23,172 
12.682 
4,829 
85.859 
4,457.2 


1,006 

2,036 

529 

2,014 

2.103 

5.017 

719.5 

4,102.1 

5.992 

16.185 

7.924 

22,975 

7,989 

23,221 

307.9 

3,801.6 

23.510 
30,411 

4.705.6 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1986  —  Continued 

Modified 

Murder 

Metropolitan  Statistical  Area 

Population 

SJ 

total' 

cnW 

PcSy 

and  non- 
negligent 

slaughter 

Forcible 
rape 

Robbery 

Aggra- 

Burglary 

theft 

Iheft 

Arson' 

Tyler,  Tx.  M.S.A 

150,836 

(Includes  Smith  County  ) 

City  of  Tyler 

76.188 

9,098 

576 

8.522 

13 

87 

143 

333 

2.213 

5.842 

467 

Total  area  actually  reporting 

100.0% 

12.000 

830 

1  1 . 1 70 

16 

157 

185 

472 

3.351 

7.179 

640 

Rate  per  100.000  inhabitants 

7,955.7 

550.3 

7.405.4 

106 

104.1 

122.6 

312.9 

2,221.6 

4.759.5 

424.3 

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

322,087 

(Includes  Herkimer  and  Oneida 

Counties.) 

City  of: 

Utica 

73,086 

2,213 

199 

2.014 

3 

15 

119 

62 

751 

1,134 

129 

43,756 

22 
288 

288 

2.124 

877 
4,664 

Total  area  actually  reporting 

99.1% 

7,485 

482 

7,003 

8 

38 

148 

215 

38 
11.8 

293 
91.0 

4,732 
1.469.2 

222 
68.9 

Rate  per  100,000  inhabitants 

2,356.5 

152.1 

2,204.4 

25 

46.9 

666.3 

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

387,136 

(Includes  Napa  and  Solano  Counties.) 

City  of: 

Vallejo 

93,562 

8.833 

1.574 

7.259 

6 

36 

417 

1,115 

2,258 

4.311 

690 

Fairfield                         

67,693 

4,696 

423 

4,273 

1 

34 

128 

260 

855 

3.202 

216 

Napa 

56,653 

3,740 

436 

3.304 

2 

19 

30 

385 

770 

2,364 

170 

Total  area  actually  reporting 

100.0% 

24,592 

3.352 

21,240 

24 

150 

720 

2.458 

5,883 

13,834 

1,523 

Rate  per  100,000  inhabitants 

6.352.3 

865.8 

5.486.4 

38.7 

186.0 

634.9 

1,519.6 

3,573.4 

393.4 

Vancouver,  Wa.  M.S.A 

212,210 

(Includes  Clark  County.) 

City  of  Vancouver 

44,536 

3,742 

285 

3.457 

2 

92 

61 

130 

960 

2,216 

281 

Total  area  actually  reporting 

100.0% 

11,397 

491 

10.906 

7 

119 

128 

237 

3,610 

6,593 

703 

Rate  per  100,000  inhabitants 

5.370.6 

231.4 

5.139.2 

3.3 

56.1 

60.3 

111.7 

1,701.1 

3,106.8 

331.3 

Victoria,  Tx.  M.S.A 

77,726 

(Includes  Victoria  County.) 

City  of  Victoria 

57.503 

4.220 

399 

3.821 

2 

25 

58 

314 

1.207 

2,463 

151 

Total  area  actually  reporting 

100.0% 

4,941 

490 

4.451 

3 

25 

63 

399 

1.426 

2,828 

197 

Rate  per  100,000  inhabitants 

6,356.9 

630.4 

5.726.5 

3.9 

32.2 

81.1 

513.3 

1,834.6 

3,638.4 

253.5 

Vineland-Millville-Bridgeion,  N.J. 

M.S.A 

135,333 

(Includes  Cumberland  County.) 

City  of: 

Vineland                      

53,898 

4,114 

440 

3,674 

2 

43 

140 

255 

1.049 

2,386 

239 

Millville 

25.474 

1,249 

82 

1.167 

I 

11 

38 

32 

412 

668 

87 

Bndgeton  

18,885 

1,563 

223 

1.340 

3 

8 

80 

132 

429 

843 

68 

Total  area  actually  reporting 

100.0% 

8,113 

883 

7.230 

8 

75 

270 

530 

2,374 

4,410 

446 

Rate  per   100,000  inhabitants 

5,994.8 

652.5 

5,342.4 

5.9 

55.4 

199.5 

391.6 

1,754.2 

3,258.6 

329.6 

Visalia-Tulare-Porterville,  Ca. 

M.S.A 

286,874 

(Includes  Tulare  County.) 

City  of: 

Visalia 

58.812 

5,140 

431 

4.709 

5 

25 

142 

259 

1,137 

3,346 

226 

26,866 

1,058 

896 

8 

103 

464 

344 

88 

Porterville 

24,393 

2,880 

214 

2.666 

3 

12 

54 

1,022 

1,497 

147 

Total  area  actually  reporting 

100.0% 

17,521 

2.053 

15.468 

26 

98 

401 

1.528 

5,234 

9,388 

846 

Rate  per  100,000  inhabitants 

6,107.6 

715.6 

5.391.9 

9  1 

34.2 

139  8 

532.6 

1,824.5 

3,272.5 

294.9 

Waco,  Tx.  M.S.A 

190,014 

(Includes  McLennan  County.) 

City  of  Waco 

108,649 

11,784 

941 

10.843 

16 

69 

247 

609 

3,748 

6.537 

558 

Total  area  actually  reporting 

100.0% 

15,849 

1.129 

14,720 

21 

85 

299 

724 

5,023 

8,913 

784 

Rate  per  100,000  inhabitants 

8,341.0 

594.2 

7.7468 

44.7 

157,4 

381.0 

2,643.5 

4,690.7 

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

3,506,927 

(Includes  District  of  Columbia; 

Calvert,  Charles,  Frederick, 

Montgomery  and  Pnnce  Georges 

Counties.  Md.,  Alexandria,  Fairfax, 

Falls  Church,  Manassas  and  Manassas 

Park  Cities,  and  Arlington,  Fairfax, 

Loudoun,  Pnnce  William  and  Stafford 

Counties,  Va.) 

City  of  Washington 

626.000 

52.159 

9,422 

42.737 

194 

328 

4.719 

4,181 

10,814 

25,818 

6.105 

Total  area  actually  reporting   

100.0% 

184,575 

21,843 

162,732 

298 

1.185 

9.443 

10,917 

36,235 

106,082 

20,415 

Rate  per  100,000  inhabitants 

5,263.2 

622.9 

4.640.3 

8.5 

33.8 

269.3 

311.3 

1,033.2 

3,024.9 

582.1 

Waterbury,  Ct.  M.S.A 

178,452 

(Includes  part  of  Litchfield  and  New 

Haven  Counties.) 

City  of  Waterbury 

103,995 

7,400 

449 

6.951 

7 

22 

258 

162 

1,964 

4,420 

567 

Total  area  actually  reporting 

100.0% 

9.089 

516 

8.573 

7 

27 

267 

215 

2,409 

5.481 

683 

Rate  per  100,000  inhabitants 

5.093.2 

289.2 

4.804.1 

3.9 

15.1 

149.6 

120.5 

1,349.9 

3,071.4 

382.7 

See  footnotes  at  end  of  table. 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1986  —  Continued 


Waterloo-Cedar  Falls,  la.  M.S.A... 
(Includes  Black  Hawk  and  Bremer 
Counties.) 
City  of: 

Waterloo 

Cedar  Falls 

Total  area  actually  reporting 
Rate  per  100,000  inhabitants 

Wausau,  Wi.  M.S.A 

(Includes  Marathon  County.) 

City  of  Wausau 

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

(Includes  Wichita  County.) 

City  of  Wichita  Falls 

Total  area  actually  reporting    . 
Rate  per  100,000  inhabitants 

Williamsport,  Pa.  M.S.A 

(Includes  Lycoming  County.) 

City  of  Williamsport 

Total  area  actually  reporting  ... 
Rate  per  100,000  inhabitants 
Wilmington,  De.-N.J.-Md. 

M.S.A 

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

City  of  Wilmington 

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  Countie 

City  of  York 

Total  area  actually  reporting  . 

Estimated  total 

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


286,163 
99.5% 
100.0% 


46,016 
99.1% 

100.0% 


2,199 
4,652 
3,520.2 


14,710 
3,802 
5,589 

75,723 

10,284.0 


23,857 
28.486 
28,591 
6,587.6 


50,228 

7.653 

98.1% 

15,432 

100.0% 

15.723 

8,536.6 

390,4*3 

44,384 

3.106 

99.0%, 

10,595 

100.0% 

10.697 

2,739.6 

2,145 
4,479 
3,389.3 


4,936 
67,336 
9,145.0 

3 
8.7 

22,326 
26,549 
26,649 
6.140.2 

23 
29 
29 
67 

8,402 
9,376 
7.122.1 

17 
17 
12.9 

2,827 

5,369 
23,346 
4,201.8 


9,868 
13,875 
14.511 
3,543.8 


2,270 
2,285 
2.014  8 


2.304 
2,934 
38,844 

5,275.' 


15.939 
18.819 
18.893 


5.475 
5,945 
1,515.9 


5,817 
8,147 
8,500 

2,075.8 


APPENDIX  IV  —  Index  of  Crime,  Metropolitan  Statistical  Areas,  1986  —  Continued 

Metropolitan  Statistical  Area 

Population 

Crime 

Modified 

total' 

S» 

w 

Murder 
negligent 
slaughter 

Forcible 

Robbery 

Aggra- 

«. 

thefT 

theft 

A.o„' 

Youngstown- Warren,  Oh.  M.S. A 

518,063 

(Includes  Mahoning  and  Trumbull 

Counties.) 

City  of: 

Youngstown 

108,042 

6,746 

1,454 

5.292 

33 

77 

393 

951 

2,314 

1,739 

1,239 

Warren 

54,057 

2,915 

505 

2.410 

5 

40 

133 

327 

1,052 

1,149 

209 

Total  area  actually  reporting 

85.8% 

16,008 

2,349 

13,659 

44 

133 

615 

1,557 

4,605 

6,786 

2,268 

Estimated  total 

100.0% 

18,970 

2.526 

16,444 

46 

146 

659 

1.675 

5,136 

8,809 

2,499 

Rate  per   100.000  inhabitants 

3,661.7 

487.6 

3,174.1 

8.9 

28.2 

127.2 

323.3 

1.700.4 

482.4 

Yuba  City,  Ca.  M.S.A 

115,384 

(Includes  Sutter  and  Yuba  Counties.) 

City  of  Yuba  City 

21.549 

2.395 

403 

1.992 

1 

6 

30 

366 

413 

1,469 

110 

Total  area  actually  reporting 

100.0% 

7.656 

1.235 

6,421 

8 

30 

97 

1.100 

1,931 

4,066 

424 

Rate  per  100.000  inhabitants 

6.635.2 

1,070.3 

5,564.9 

6.9 

26.0 

84.1 

953.3 

1,673.5 

3,523.9 

367.5 

San  Juan,  Puerto  Rico  M.S.A 

1,150,224 

Total  area  actually  reporting 

100.0% 

61,054 

14,383 

46,671 

350 

195 

11,206 

2.632 

16,577 

15,567 

14,527 

Rate  per  100.000  inhabitants 

5,308.0 

1.250.5 

4,057.6 

30.4 

17.0 

974.2 

228.8 

1,441.2 

1,353.4 

1,263.0 

Caguas,  Puerto  Rico  M.S.A 

187,525 

Total  area  actually  reporting 

100.0% 

5.157 

1.204 

3,953 

17 

19 

794 

374 

1,899 

1,308 

746 

Rate  per  100,000  inhabitants 

2,750.0 

642.0 

2,108.0 

9.1 

10.1 

423.4 

199.4 

1,012.7 

697.5 

397.8 

Mayaguez,  Puerto  Rico  M.S.A 

141,796 

Total  area  actually  reporting 

100.0% 

5.175 

1.123 

4,052 

23 

11 

651 

438 

1,706 

1,533 

813 

Rate  per  100.000  inhabitants 

3,649.6 

792.0 

2,857.6 

16.2 

7.8 

459  1 

308.9 

1,203.1 

1,081.1 

573.4 

Ponce,  Puerto  Rico  M.S.A 

262,612 

Total  area  actually  reporting 

100.0% 

8,448 

1.976 

6,472 

64 

35 

877 

1.000 

2,719 

3,080 

673 

Rate  per  100.000  inhabitants 

3,216.9 

752.4 

2,464.5 

24.4 

13.3 

334.0 

380.8 

1,035.4 

1,172.8 

256.3 

.njil.ihlr  to  estimate  totals  for  this  . .tlcnsc 


data 


iildlMdu.il    i 


Although  arson  data  are  included  in  the  trend  and  clearance  tables,  sufficient  da 
shown  in  Table  6. 

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

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

'Forcible  rape  figures  furnished  by  the  state-level  Uniform  Crime  Reporting  (UCR)  Program  administered  by  the  Illinois  Department  of  State  Police  were  not  in  accordance 
with  national  UCR  guidelines  The  1986  forcible  rape  totals  for  most  agencies  in  Illinois  were,  therefore,  estimated  using  the  national  rate  of  forcible  rapes  when  grouped  by  like 
agencies.  See  "Offense  Estimation"  page  4  for  details.  Forcible  rapes  for  Illinois  agencies  are  shown  only  if  the  counts  were  supported  by  supplemental  reports. 

■Aggravated  assault  figures  are  not  comparable  to  prior  years. 

"Aggravated  assault  and  burglary  are  not  comparable  to  pnor  years. 


363 


APPENDIX  V 
DIRECTORY  OF  UNIFORM  CRIME  REPORTING  PROGRAMS 


Alabama 


American  Samoa 


Arkansas 


Colorado 


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 

Uniform  Crime  Reporting 

Arizona  Department  of  Public  Safety 

Post  Office  Box  6638 

Phoenix,  Arizona     85005 

(602)  262-8066 

Commissioner 

Department  of  Public  Safety 
Post  Office  Box  1086 
Pago  Pago,  Tutuila 
American  Samoa  96799 

Arkansas  Crime  Information  Center 
One  Capitol  Mall,  4D-200 
Little  Rock,  Arkansas     72201 
(501)  371-2221 

Bureau  of  Criminal  Statistics 
Department  of  Justice 
Post  Office  Box  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 


APPENDIX  V  — DIRECTORY  OF  UNIFORM  CRIME  REPORTING  PROGRAMS  —  Continued 


Florida 


Georgia 


Hawaii 


Illinois 


Iowa 


Kentucky 


Uniform  Crime  Reports  Section 

Special  Services  Bureau 

Florida  Department  of  Law  Enforcement 

Post  Office  Box  1489 

Tallahassee,  Florida     32302 

(904)  488-5221 

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 

Technical  Services  Unit 
Department  of  Law  Enforcement 
6081  Clinton  Street 
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 


365 


APPENDIX  V  — DIRECTORY  OF  UNIFORM  CRIME  REPORTING  PROGRAMS  —  Continued 


Maryland 


Massachusetts 


Michigan 


Minnesota 


Montana 


New  Hampshire 


New  Jersey 


North  Carolina 


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 


APPENDIX  V  — DIRECTORY  OF  UNIFORM  CRIME  REPORTING  PROGRAMS  —  Continued 


North  Dakota 


Oklahoma 


Oregon 


Pennsylvania 


Puerto  Rico 


Rhode  Island 


South  Carolina 


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)  965-4575 

Support  Services 

Vermont  Department  of  Public  Safety 

Post  Office  Box   189 

Waterbury,  Vermont    05676 

(802)  244-8786 


APPENDIX  V  — DIRECTORY  OF  UNIFORM  CRIME  REPORTING  PROGRAMS  —  Continued 


Virginia 


Virgin  Islands 


Washington 


West  Virginia 


Wisconsin 


Wyoming 


Records  and  Statistics  Division 
Department  of  State  Police 
Post  Office  Box  27472 
Richmond,  Virginia     23261 
(804)  323-2023 

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 

Criminal  Justice  Information  Section 
Division  of  Criminal  Investigation 
Suite  4,  Boyd  Building 
Cheyenne,  Wyoming     82002 
(307)  777-7625 


APPENDIX  VI 
CRIMINAL  INVOLVEMENT  OF  MURDER  ARRESTEES 


Appendix  VI  focuses  on  murder  arrestees  who  were 
initially  arrested  in  1976  for  the  crime  of  murder.  A  cohort 
of  6,838  individuals  was  examined  and  their  arrest  records 
were  followed  during  the  subsequent  11  years,  1976-1986. 

The  data  used  in  this  appendix  were  obtained  from  the 
FBI's  Automated  Identification  Division  System  (AIDS) 
which  is  based  on  fingerprints  from  arresting  agencies. 
Initially,  the  demographic  characteristics  of  these  6,838 
murder  arrestees  were  examined.  Table  1  delineates  the  age, 
sex,  and  race  breakdown  of  these  arrestees.  Table  1  is 
graphically  represented  in  Charts  1  and  2. 

For  Tables  2-4,  attention  shifts  to  the  subsequent  arrest 
records  of  the  murder  arrestees  during  the  period  1976-1986 
as  reflected  in  the  AIDS  data.  The  unit  of  count  switches 
from  individuals  to  arrests.  If  a  person  is  arrested  more  than 


once,  each  of  these  arrests  is  counted.  The  number  of 
subsequent  arrests  for  the  6,838  individuals  mentioned 
above  for  the  1 1-year  period  was  6,1 13  (Table  2).  This  figure 
includes  arrests  for  crimes  in  all  offense  categories  including 
murder.  The  age  column  of  Table  2  represents  the  age  at  the 
time  subsequent  arrests  were  made  in  1976. 

Table  3,  Arrest  Records  of  6,838  Murder  Arrestees  by 
Year,  delineates  the  number  of  arrests  made  for  these 
murder  arrestees  during  the  period,  1976-1986.  Again,  the 
totals  encompass  all  categories  of  crime  including  murder. 

Table  4  depicts  the  rearrest  records  of  6,838  murder 
arrestees  by  crime  category  and  summarizes  the  11 -year 
period,  1976-1986.  In  Table  5,  the  yearly  rearrest  experience 
is  presented  by  offense. 


TABLE  1 

1976  Murder  Arrestees 

(N=6,838) 


Total 

White 

Nonwhite 

Unknown 

Age 

Male 

Female 

Male 

Female 

Male 

Female 

Male 

Female 

21  and  below 

3 

18 
235 
1.049 
821 
588 
404 
354 
275 
220 
195 
169 
141 
104 
88 
87 
79 
72 
80 
51 
59 
53 
169 
2 

2 
8 
100 
612 
493 
358 
225 
209 
180 
141 
112 
97 
88 
58 
52 
47 
52 
48 
55 
31 
37 
37 
99 

10 
134 
414 
288 
207 
160 
135 
87 
70 
76 
63 
47 
43 
32 
31 
25 
20 
23 
18 
20 
16 
61 
1 

2 
27 
122 
190 
154 
155 
121 
97 
89 
91 
62 
62 
58 
47 
33 
36 
43 
38 
21 
13 
13 
48 

11 

48 
91 
66 
56 
50 
36 
44 
43 
26 
28 
27 
24 
16 
17 
18 
18 
10 
6 
8 
23 

2 

15 
70 
93 
81 
97 
66 
55 
43 
46 
35 
33 
30 
21 
17 
19 
25 
20 
11 
7 
5 
25 

26-27 
28-29 
30-31 
32-33 
34-35 
36-37 
38-39 
40-41 
42-43 
44-45 
46-47 
48-49 
50-51 

23 
40 
23 
19 
10 
8 
9 
7 
9 
6 
3 

9 
2 

2 
2 
2 

6 
7 
2 
5 

6 

2 
2 

1 
2 

9 

age  unknown 

TOTAL 

5.316 

1,522 

3.142 

666 

1,982 

816 

192 

40 

PERCENT  DISTRIBUTION  FOR  1986 
MURDER  ARRESTEES  BY  SEX  AND  RACE 


FEMALE 


□ 


WHITE 


NONWHITE 


MURDER  ARRESTEES  BY  AGE 


22  24  26  28  30  32  34  36  38  40  42  44  46  48  50  52  54  56  58 

AGE 


TABLE  2 

s  for  6,838  Murder  Arrestees 
ring  1976-1986 


Total 

White 

Nonwhite 

Unknown 

Age 

Male 

Female 

Male 

Female 

Male 

Female 

Male 

Female 

21  and  below 
22-23 

3 
30 
455 
1,808 
1,099 
554 
341 
264 
192 
128 
116 
82 
66 
34 
28 
27 
16 
28 
27 
14 
13 
9 
26 

5 
50 
122 
133 
118 

56 
31 
30 

21 
19 

12 
4 

10 
5 

1 
5 

3 
15 
131 
924 
620 
301 
186 
149 
119 
68 
61 
48 
46 
16 
19 
13 
9 
20 
14 
6 
9 
6 
14 

34 
33 
50 
30 
19 
21 
13 
14 
10 
12 
3 

9 
1 

2 
5 

3 
1 

15 

324 

860 

444 

242 

150 

113 

66 

52 

50 

34 

18 

18 

8 

12 

7 

7 

12 

8 

3 

3 

12 

5 
16 

87 

80 
88 
70 
35 
13 
16 
8 
9 
16 
5 
2 
3 

3 

1 
1 

24 
35 
11 
5 
2 
7 
8 
5 

2 
2 

24-25 
26-27 

28-29 
30-31 
32-33 

2 
3 

34-35 

36-37 

38-39 
40-41 

5 

42-43 
44-45 

46-47 
48-49 

50-51 
52-53 

1 

54-55 

56-57 

1 
1 

58-59 

60-61 

62-63 

1 

64-65 

1 

over  65 

TOTAL 

5,360 

753 

2.797 

267 

2,458 

475 

105 

11 

TABLE  3 

Arrest  Records  of  6,838  Murder  Arrestees 
By  Year 
1976-1986 


Year 

Arrests 

Percent 

1976 

678 

11.1 

1977 

760 

12.4 

1978 

543 

8.9 

1979 

487 

8.0 

1980 

523 

8.6 

1981 

495 

8  1 

1982 

540 

8.8 

1983 

558 

9.1 

1984 

480 

7.9 

1985 

550 

9.0 

1986 

499 

8.2 

TOTAL 

6,113 

100.0% 

TABLE  4 

Arrest  Records  of  6,838  Murder  Arrestees 

By  Crime  Category 

1976-1986 


Offense 

Number  of 
Arrests 

Percent  of 
Total 

Homicide 

1,296 

21.2 

Sexual  Assault 

60 

1.0 

Robbery 

249 

4.1 

Assault 

626 

10.2 

Burglary 

317 

5.2 

Larceny 

231 

3.8 

Stolen  Vehicle 

68 

1.1 

Arson 

10 

.2 

Drug 

426 

7.0 

Other 

2,830 

46.3 

Total 

6,113 

100.0% 

TABLE  5 

Offense  by  Year 

1976-1986 


Offense 

Year 

Homicide 

Sexual 

Assault 

Robbery 

Assault 

Burglary 

Larceny 

Stolen 
Vehicle 

Arson 

Drug 

Other 

Total 

1976 

307* 

6 

19 

51 

16 

10 

7 

17 

245 

678 

1977 

251* 

3 

23 

67 

36 

19 

9 

2 

40 

310 

760 

1978 

110 

6 

13 

49 

22 

23 

6 

33 

281 

543 

1979 

99 

8 

24 

46 

15 

28 

11 

37 

219 

487 

1980 

90 

6 

42 

56 

22 

24 

5 

1 

34 

243 

523 

1981 

97 

8 

28 

63 

27 

15 

3 

35 

219 

495 

1982 

82 

2 

29 

60 

40 

27 

3 

36 

261 

540 

1983 

79 

4 

24 

68 

36 

29 

4 

3 

53 

258 

558 

1984 

61 

3 

12 

39 

34 

17 

7 

2 

41 

264 

480 

1985 

65 

9 

16 

63 

41 

19 

8 

1 

53 

275 

550 

1986 

55 

5 

19 

64 

28 

20 

5 

1 

47 

255 

499 

Total 

1,296 

60 

249 

626 

317 

231 

68 

10 

426 

2,830 

6,113 

liminated  where  it  was  apparent  that  duplication  existed    It  is  recognized  that  in    1976  and   1977  i 


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