Uniform crime reports for the United States

cW»9353.5a3

"Bn

CRIME

IN THE UNITED STATES

ISSUED BY

JOHN EDGAR HOOVER, DIRECTOR
FEDERAL BUREAU OF INVESTIGATION
UNITED STATES DEPARTMENT OF JUSTICE

UNIFORM CRIME REPORTS-1961

FOR RELEASE

THURSDAY, P.h
PRINTED ANNUALLY

JULY 12, 1962

UNIFORM

CRIME

REPORTS

for the United States

PRINTED ANNUALLY— 1961

Advisory: Committee on Uniform Crime Records
International Association of Chiefs of Police
Stanley R. Schrotel, Chief of Police
Cincinnati, Ohio, Chairman

J. Edgar Hoover, Director, Federal Bureau of Investigation
U.S. Department of Justice, Washington 25, D.C.

&

Of.

Contents

Page

Preface v

Crime factors vi-vii

Summary 1-23

Introduction 24 31

The index of crime, 1961 32-77

United States, 1961 (table 1) 33

United States, 1960-61, by geographic divisions and states

(table 2) 34-37

States (table 3) 38-52

Standard metropolitan statistical areas (table 4) 53-77

General United States crime statistics, 1961 78-90

Crime trends, 1960-61, by population groups (table 5) 79-80

Crime rates, by population groups (table 6) 81-82

City crime trends, 1961 versus average of 1956-60 (table

7) 83

Offenses known, cleared by arrest, and persons charged,

by population groups (table 8) 83-84

Offenses known, cleared by arrest, and persons charged,

by geographic divisions (table 9) 85-86

Disposition of persons formally charged by the police

(table 10) 86

Offenses known, cleared; persons arrested, charged and

disposed of (table 11) 87

Monthly variations (table 12) 87

Offense analysis, trends 1960-61 (table 13) _ 88

Type and value of property stolen and recovered (table

14) 89

Value of property stolen, by type of crime (table 15) 89

Burglary by day of week, October, 1961 (table 16) 89

Murder victims — weapons used (table 17) 90

Murder victims by age, sex and race (table 18) _ _ 90

Arrests 91-106

Number and rate by population groups (table 19) 92-93

City arrests by age groups (table 20) 94

City arrests of persons under 18, under 21, and under 25

(table 21) 95

City arrests, distribution by sex (table 22) 96

in

Arrests — Continued page

City arrests by race (table 23) 97

City arrest trends, 1960-61 (table 24) 98

City arrest trends by sex, 1960-61 (table 25) 99

Rural arrests by age groups (table 26) 100

Rural arrests of persons under 18, under 21, and under 25

(table 27) 101

Rural arrests, distribution by sex (table 28) 102

Rural arrests by race (table 29) 103

Rural arrest trends, 1960-61 (table 30) 104

Rural arrest trends by sex, 1960-61 (table 31) 105

Police disposition of juvenile offenders taken into custody

(table 32) 106

Police employee data 107-130

Full-time police employees, number and rate (table 33) _ 108-109

Civilian employees, percent of total (table 34) 109

Police employees killed (table 35) 110

Assaults on police officers (table 36) 110

Full-time State police employees and State police killed

(table 37) . 110

Police employees in individual cities (tables 38 and 39) _ 111-130

Offenses in individual areas 25,000 and over by population

groups (table 40) 131-143

JV

Preface

Crime is a social problem and a community responsibility which
crosses all walks of life. Yet from time to time unfair pressures,
often political in nature, are brought to bear on a police department
which has exposed a local crime problem. This happens despite the
fact that law enforcement efforts to control crime are basically lim-
ited to effective preventive patrol and deterrence through successful
investigation. Crime, like a disease, can only be treated after
identification and full exposure. It cannot be erased by employing
different and less repugnant terms for criminal acts, thus, in a sense,
defining them out of existence.

Law enforcement is a public service and as such imposes an obliga-
tion on each executive head of a department to advise his community
of crime conditions, whether favorable or unfavorable, and the extent
and the effectiveness of the police operation. For the most part, this
is done through the use of crime statistics, which we in law enforce-
ment should look upon as a means to measure the "blood pressure"
of the department. They will indicate weaknesses and strength, as
well as suggest certain operational and administrative needs. The
purpose of crime reporting then is dual; namely, public disclosure and
internal appraisal.

Law enforcement records are the basic source of crime data, and the
police executive, because of his daily experience with crime incidents,
is uniquely qualified to interpret crime counts. It is extremely
important that the chief or sheriff in releasing these "numbers" also
make available his knowledge of their meaning. This should include
the wide range of circumstances involved in each crime classification,
general facts about the types of persons who commit these crimes,
assistance that can be rendered by local citizens in reducing the
opportunity for crime, and particularly the limitations of the police
prevention and deterrence efforts.

Although the responsibility for reversing our crime trend is vested
in the entire community, law enforcement fulfills its obligation by
effectively carrying out its traditional role and by taking the leader-
ship in directing community attention to specific crime problems,
including public indifference.

tf"T

John Edgar Hoover, Director.

VI

Uniform ('rime Reports give a nationwide view of crime based on
poliee statistics made possible by the voluntary cooperation of local
law enforcement agencies. Since the factors which cause crime are
many and vary from place to place, readers are cautioned againsl
drawing conclusions from direct comparisons of crime figures between
individual communities without first considering the factors involved.
The national material summarized in this publication should be used,
however, as a starting point to determine deviations of individual
cities from the national averages. Crime is a social problem and the
concern of the entire community. The law enforcement effort is
limited to factors within its control. Some of the conditions which
will affect the amount and type of crime that occurs from place to
place are briefly outlined below:

Density and size of the community population and the metro-
politan area of which it is a part.

Composition of the population with reference particularly to age,
sex and race.

Economic status and mores of the population.

Relative stability of population, including commuters, seasonal,
and other transient types.

Climate, including seasonal weather conditions.

Educational, recreational, and religious characteristics.

Effective strength of the police force.

Standards governing appointments to the police force.

Policies of the prosecuting officials and the courts.

Attitude of the public toward law enforcement problems.

The administrative and investigative efficiency of the local law
enforcement agency.

VII

Summary

(This section is for the reader interested in the general crime picture.
Technical data, of interest primarily to police, social scientists, and
other students, are presented in the following sections. If you wish
assistance in the interpretation of any information in this publication,
please communicate with the Director, Federal Bureau of Investiga-
tion, U.S. Department of Justice, Washington 25, D.C.)

Crime Capsule

1,926,090 serious crimes reported in 1961 representing a 3 percent
increase over the previous all-time high recorded in 1960.

* * *

Crime during past 5 years outstripped population growth 5 to 1.
Crime clock ticked off four serious crimes per minute.

* * *

852,500 burglaries in 1961 up 4 percent. Average value of property
stolen $187 per burglary.

Forcible break-ins made in 70 percent of all burglaries while entry
gained by open means in 21 percent.

* * *

Three males murdered for each female victim. Fifty-three percent
of the murders committed by use of firearms.

* * *

Value of property stolen reached $591,815,000 but loss cut to 48
cents on dollar by effective police recoveries.

Police performance in solving the violent crimes of murder, aggra-
vated assault, robbery and forcible rape up 7 percent over 1960.

* * *

Arrests for all criminal acts increased 1 percent with female arrests
rising at a faster pace than male arrests.

* * *

Arrests of young people under 18 up 4 percent over previous year.
Nearly half of the juvenile arrests handled by police without referral

to juvenile court.

* * *

Arrests for white collar crimes of forgery, embezzlement, and fraud

up 4 percent.

* * *

Over 8 police officers per 100 were assaulted during course of duty
in 1961 and 71 law enforcement officers killed.

Average number of police employees per 1,000 inhabitants was 1.9.
No change over 1960.

Crime Index Totals

During the calendar year 1961 there were an estimated 1,926,090
crimes of murder, forcible rape, robbery, aggravated assault, burglary,
larceny $50 and over, and auto theft in the United States. These
crimes are counted by law enforcement agencies as they become
known and are utilized as the index to criminality in the United
States. The 1961 total was 3 percent above the peak reached in
1960 or 63,410 more serious crimes than the previous year.

Crimes against property — robbery, burglary, larceny $50 and over,
and auto theft — which make up 92 percent of the index offenses in-
creased 4 percent as a group. Crimes against the person — murder,
forcible rape, and aggravated assault — as a group were up 1 percent.

The upward trend in crime continued at a faster pace in the smaller
cities under 25,000 population, metropolitan fringe counties and
rural areas with increases of 6 to 8 percent. Geographically, the
crime trend ranged from a 2 percent increase in the South to 6 percent
in the Northeastern States.

Estimated number of
offenses

Change 1961

Crime index classification

1958-60
Average

1961

Oyer 3-year average

Over 1960

Number

Percent

Number

Percent

Total

1, 688, 790

1, 926, 090

+237, 300

+14

+63, 410

+3

Murder.. .

8,590
15, 250
81, 140
122, 710
733, 900
428,800
298, 400

8,600
16, 010
91. 660
133, 020
852, 500
498, 100
320. 200

+10
+760
+10. 520
+10,310
+118.600
+69. 300
+27, 800

-370

+20

-1,060

+2, 120

+33, 800

+21, 200

+7, 700

-4

Forcible rape

+5
+13

+8
+16
+16

+9

Robbery

— 1

Aggravated assault. ... ...

+2

Burglary... .

+ 4

Larcenv $50 and over .

+4

Auto theft. .

+2

As indicated in the above tabulation, murder was down 4 percent
when compared with 1960, leveling off to the average for the 3-year
period 1958 through 1960. Forcible rape showed no change over
1960, and aggravated assault was up 2 percent. Burglaries and
larcenies $50 and over rose 4 percent, while auto theft was up 2
percent.

Although robbery in 1961 was down 1 percent when compared to
the peak reached in 1960, it was still 13 percent above the 1958-
1960 3-year average. Similarly, forcible rape, with slightly more
than 16,000 offenses reported in 1961, remained at the 1960 level
but was 5 percent above the previous 3-year average.

Crime and Population

When measured in relation to the population increase of 2 percent,
1961 over 1960, the crime rate was up 1 percent. During the past
5 years our national population has increased 7 percent and crime 34
percent showing a rate of growth of crime five times that of the popu-
lation. Nearly two-thirds of our national population reside in
large cities over 50,000 population and their surrounding metropolitan
fringe. The crime rate in this metropolitan complex is three times
higher than that of rural areas and twice that of the nonmetropol-
itan cities. Crime rates are generally higher in the Western States
which are also recording the sharpest population increases. For the
United States as a whole, there were 1,053 serious offenses per 100,000
inhabitants.

Arrest data appearing in subsequent pages of this publication will
indicate to some extent those who are committing these crimes by
age, sex, and race.

Crimes per 100,000 inhabitants

Crime index classification

Rate 1961

1961 percent change

Over 1960

Over 3-year
average

Total

1,052.8

+ 1

+10

Murder

4.7

8.8

50.1

72.7

466.0

272.3

178.3

-6
-1
-3

_o

Forcible rape

+2

Robberv.-

+9

Aggravated assault

+5

Burglary

+2
+2

+13

Larceny $50 and over

Auto theft

+ 13

+6

As shown above, the 1961 crime rate for the United States as a
whole was 10 percent above the average rate for the past 3 years,
1958 through 1960. Examined by individual crime categories, only
murder recorded a decrease in the crime rate when compared with
the average for the past 3 years. Rates for burglary and larceny $50
and over showed increases of 2 percent, 1961 over 1960.

The following chart graphically portrays the extent of the crime
increase in relation to the population change during the 5-year period,
1957 through 1961, in the U.S.

CRIME AND POPULATION

1957-1961

PERCENT CHANGE OVER 1957

+40

+ 30

+ 20

+ 10

/"

t

/
/
/
/

# 1
/ /
/ /
/ /

r

/"

/ /
/ /
/ /
/ /
/ /
/ /
/ /

/
/

/ /
i/
i/
i/

/-

S j

i

Crime
up 34%

i

Crime Rate
up 25%

<

Population

up 7%

1957 1958 1959 I960 1961

CRIME = INDEX OF CRIME OFFENSES

CRIME RATE = NUMBER OF OFFENSES PER 100,000 POPULATION

FBI CHART

Chart 1

CRIME CLOCKS

1961

SERIOUS CRIMES

4 EACH MINUTE

MURDER, FORCIBLE RAPE
OR ASSAULT TO KILL

ONE EVERY 3 MINUTES

MURDER

ONE EVERY HOUR

FORCIBLE RAPE

ONE EVERY 33 MINUTES

AGGRAVATED ASSAULT

ONE EVERY 4 MINUTES

ROBBERY

ONE EVERY 6 MINUTES

BURGLARY

ONE EVERY 37 SECONDS

LARCENY
$50 and over)

1 EACH MINUTE

AUTO THEFT

ONE EVERY 1 V2 MINUTES

FBI CHART

Chart 2

Crime Calendar

There are patterns in crime, and its frequency by type can be
generally predicted during the course of the year. Monthly and
seasonal variations in crime (chart 3) appear in this publication
every year. The seasonal variation for different types of crimes
varied very little in 1961 against the average experience for the prior
5 years. There will be occasional exceptions by month from year to
year.

Forcible rape, aggravated assault and murder, commonly crimes
of passion, had their greatest frequency during summer months
reaching a peak in July, 1961. Murder again was substantially above
the annual average in December, but for the first time in the last 6
years December was not the high month for murder. Aggravated

CRIMES

KEY: 1956-1960 MOVING AVERAGE

AGAINST THE PERSON

+30%

MURDER

+ 20%

+ 10%
ANNUAL

^L^*

'"" >£>.

AVERAGE
-10%

-20%

-30%

™»»»^^

JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. NOV. DEC.

+30%

NEGLIGENT

yT^Vaf

+20%

MANSLAUGHTER

/ /

/ y

ANNUAL

u- — ""v / \

'■"i

l-S

AVERAGE
-10%

-20%

-30%

^ ./- /

V' \i^*^^

JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. NOV. DEC.

+30%

+20%

-30%

JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. NOV. DEC.

+30%

Chart 3

BY MONTH

VARIATIONS FROM 1961 ANNUAL AVERAGE

AGAINST PROPERTY

+30%

+20%

+ 10%
ANNUAL

ROBBERY

•
t

■"""t^^V

/.
M

^N*. ^4

AVERAGE

-10%
-20%
-30%

S jZ^~—~~^*

^^-^, ^z^^*""

JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. NOV. DEC.

+30%

FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. NOV. DEC.

*30%

+20%

-30%

JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. NOV. DEC.

30%

+20%

-30%

FBI CHART

Chart 3

assault, however, which is often akin to murder except the victim does
not die, was 4 percent higher in December, 1961, than the previous
5-year average for that month.

Property crimes — robbery, burglary, larceny, and auto theft — ran
their usual course, high during the colder and darker months of the
year which provide more opportunity for thieves, as well as place
greater pressure on the economically marginal population. Robbery
was at its peak in February, burglary in February, and auto theft
in November. Larceny-theft, which year after year displays the
most consistent monthly frequency during the year, had its high
point in August. This is out of step with the other property crimes,
but closer examination indicates that August over the years is a high
month for larceny particularly due to bicycle thefts. Thefts of
bicycles and pickpocket activity were up 9 percent in August, 1961,
over August, 1960.

When the above crimes, both against the person and property, were
totaled by month, September, 1961, appeared the lowest month in
volume and February, the highest.

Crime Analysed

Burglary is briefly defined in this Program as any unlawful breaking
or entering to commit a theft or felony. Because of its volume and
seriousness, it is one of the major crimes with which law enforcement
must contend. During the calender year 1961, there were an esti-
mated 852,500 burglaries, an increase of 4 percent over 1960. This
crime makes up 44 percent of the total offenses in the Crime Index.
The value of property stolen in the average burglary was $187, making
a total dollar loss in property stolen $159,419,000. Not included in this
loss is the destruction of property frequently resulting from burglaries,
including damaged and destroyed safes which would add substantially
to total losses. During the past 5 years burglaries have increased
38 percent. The sheer volume of these offenses makes police pre-
vention and detection of the perpetrators difficult since it would
require police to be everywhere at once. During 1961 there was one
burglary committed every 37 seconds. As pointed out earlier,
burglaries occur most often during those months that provide longer
periods of darkness. The months of January, February, March,
and December, 1961, as a group, showed a daily burglary average
12 percent above the rest of the year.

About 40 percent of the burglaries involve thefts from residences,
homes, apartments, motels and hotels, and nearly 60 percent of these
were accomplished during the nighttime. Residence burglaries
increased 5 percent during 1961. These residence burglaries begin
with forcible entry in 58 percent of the cases, while in 32 percent some

8

Types of Structures
Entered

BURGLARY BY TYPE OF STRUCTURE

RESIDENCE

Anywhere on premiss

RETAIL STORE

16,072

42.0%

8,367

21.9%

WAREHOUSE OR PLANT £ ^l? 6.5%

2^6.7%
Jm 8.0%

PUBLIC BUILDING
(School, Libre- v «tc.

GAS STATION,
GARAGE, ETC.

BUSINESS OR
PROFESSIONAL OFFICE

BANK
(Savings and Loon, »»c

OTHER
Boxcar Private Clubs,

3.291 j 8.6%

(41) .1%
feSl 6.2%

TOTAL

Fased or special Questionnaire lor month
of OcloOtr 1961. received from 1,941 cities.
total population 71.606.731

Chart 4

FBI CHART

Chart 5

BURGLARY BY PLACE OF

ENTRY

TYPES OP STRUCTURES PERCENT

DOOR

WINDOW

ROOF

OTHER

RES.DENCE <«nn
(Anywhere on premise) 1 UU.U

61.4

33.7

.2

i

4.7

— "- 1 "

RETAIL STORE ] QQ Q

49.2

39.3

4.6

/.»

WAREHOUSE 1 fifl f.
OR PLANT 1 UU.U

45.1

41.7

4.0

9.2

PUBLIC BUILDING 1 flfl fl

(School, Library, etc.) | UU.U

38.8

52.9

i -9

7.4

GAS STATION, * pfl «
GARAGE, ETC. | UU.U

39.7

53.6

.9

5.7

business or mn n

PROFESSIONAL OFFICE I UU.U

53.1

37.6

1.6

7.7

BANK 1flnn
(Savings and Loan, etc.) | UU.U

56.1

34.1

2.4

7.3

(Boxcar, Private Clubs, etc ) | UU.U

60.6

27.2

1.6

11.2

TOTAL BURGLARIES 100,0

53.6

38.3

! «

6.4

DUE TC

ROUNDING MAY NC

T ADD TO 100 PERCENT

641799°— 62 2

FBI CHART

9

Types of Structures
Entered

BURGLARY BY MEANS OF ENTRY

(PERCENT)

RESIDENCE
Anywnor* on pramisoi

RETAIL STORE
WAREHOUSE OR PLANT

(HJBUC BUILDING
1 School, Library, ore.)

GAS STATION,
GARAGE, ETC.

BUSINESS OR
PROFESSIONAL OFFICE

BANK
Savings and Loan, ate.)

OTHER

Boxcar, Private Clubs, ore.)

TOTAL

58.3 32.4 Efl

83.5 | 10.1 Efl

77.5 14.2 HI

67.7 21.6 JTif-J

82.7 | 10.4 Ql

76.1 13.8 Mil

82.9 9.8 HJ

72.2 16.9 H39

70.0 213 EH

KEY:P

FORCE OPEN UNKNOWN

Due to rounding may not add to 100 percent .

FBI CHART

Chart 6

means of access was left open to the burglar. Sixty-one percent of
these home burglaries were through a door, while 34 percent were
through a window. About half the property stolen in residence burgla-
ries involved personal property. Twenty-nine percent was cash, and
14 percent was jewelry. Although there was no substantial variation
in the day of the week when burglaries of residences occur, the week-
ends are high and Wednesday and Thursday the low period (table 16).

Attacks against nonresidence structures make up about 60 percent
of all burglaries. Of these, 38 percent were directed at retail stores,
84 percent of which were forcible entries. Other types of structures
burglarized in this general category of nonresident, were private
businesses and professional offices 15 percent, gasoline or service
stations 14, public buildings 12, warehouses 11 and others (such as
private clubs, boxcars, etc.) 11 percent. Bank burglaries were less
than 1 percent of the total.

On the whole, forcible entry was used in 70 percent of all burglaries,
21 percent of the structures provided some open means and in 9
percent the means of entry was unknown. Safes were attacked in
2.5 percent of all burglaries. Percentage-wise, safe burglaries
occurred more frequently in the smaller cities with 25,000 or less
population. Residence burglaries were a greater part of the total in
the big cities. Property stolen in burglaries was 38 percent cash, 30

10

BURGLARY BY DAY OF WEEK

17%

15%

13% 13%

11% 11%

14%

6%

SUN. WON. MS. WED. THURS. FRI. SAT. UNK.

FBI CHART

Chart 7

percent personal property, 25 percent merchandise, with jewelry
making up 7 percent.

There is no way of measuring the number of burglaries that are
deterred through effective police investigation and preventive patrol.
Police patrols are based for the most part on the incidence of burglary
and other crimes as to when and where they happen. This is limited
severely, however, by demands for other types of police service and
the manpower and equipment available. The police effort could be
assisted greatly by citizens affording better security to their own
property, by being alert to the carelessness of others and by fully
cooperating with police.

The accompanying charts on burglary are based on a 1 -month
survey, October, 1961, using figures submitted by 1,941 city police
departments throughout the United States.

All larceny-theft increased 4 percent in 1961. The ratio of larceny
under $50 in value to larceny $50 and over is about 3 to 1. It should
be noted that many thefts, particularly those of small value, are not
reported to the police. All larceny-thefts without regard to value of
the property stolen were approximately 1,863,740 in 1961 for an aver-
age loss of $74 per theft or a total loss approximating $137,917,000.

11

Larceny by type as reported by city police is shown in table 13.
Shoplifting was up 11 percent in 1961 followed by purse-snatching
7 percent and thefts from autos 5 percent. Again, in many of the
latter thefts which made up 19 percent of all larcenies, more care by
the owners in locking vehicles and keeping valuables from view would
assist police in reducing this type of crime.

Rates indicate that robbery is primarily a big city crime, occurring
more frequently in the larger cities. There were an estimated 91,660
robberies in 1961, a decrease of 1 percent compared with 1960. The
big cities reported a reduction in the high volume reached in 1960;
however, cities under 100,000 and metropolitan counties generally
showed increases from 2 to 6 percent.

Street robberies, which made up almost half of all robberies, had
less than a 1 percent increase in the cities. Commercial house and
chain store robberies had the most significant decreases of 4 and 9
percent, respectively. The value of property stolen in the average
robbery was $266 resulting in a total loss of $24,381,000. Again,
this loss does not take into consideration injury or death of the victim
which frequently accompanies this vicious crime.

Total value of property stolen in robberies, burglaries, larcenies,
and auto thefts was $591,815,000 in 1961. On the average, law en-
forcement agencies recovered 52 percent of the property stolen.

Crimes of passion, particularly aggravated assault and murder, are
less subject to police prevention efforts than property crimes. These
are primarily the result of human and social problems occurring spon-
taneously within the family or among acquaintances out of reach of
preventive patrol. As indicated in last year's publication, 65 percent
of the aggravated assaults were committed by members of the vic-
tim's family or acquaintances and neighbors.

Last year a Supplementary Homicide Report was introduced into
this Program to collect more detail on this important crime classifi-
cation. A partial collection, mostly from cities, on 3,008 murders is
available for 1961. Data on the age, sex, and race of the murder
victims and the type of weapons used is shown in tables 17 and 18.
Arrests for murder by age, sex, and race appear on subsequent pages
of this publication.

Sonic indication of the motives and circumstances surrounding
these murders is possible through this preliminary collection. Twenty-
seven percent of the 3,008 killings occurred within the family, the
large majority being spouse killing spouse. Altercations outside of
the family, involving money, property, lovers quarrels, drunken fights,
etc., made up over half of the total. Of these 3,008 willful killings
there were 30, or 1 percent, juvenile gang slayings. Significantly,
about 10 percent of the murders involved felons killing police officers

12

or private citizens. Male murder victims out numbered females
about 3 to 1.

The similarity of weapons used in murder and aggravated assault
is shown in the following tables.

Murder

Gun

Knife

or other

cutting

instrument

Blunt
object
(club, ham-
mer, etc.)

Personal

weapons
(strangula-
tions and

beatings)

Poison

Explosives

Other

Total

3,008

100.0

1,578
52.5

725
24.1

198
6.6

336
11.2

9
0.3

o.i

160
5.3

Aggravated assault

Shooting

Cutting or
stabbing

Blunt
object as
weapon

Personal

weapons

(hands,

fists, feet,

etc.)

Poisoning

or use of

acid

Explosives

Other

Total

7.34S

100.0

931
12.7

3,230
44.0

1,760
24.0

906
12.3

90
1.2

9

0)

429

5.8

i Less than Ho of 1 percent.

Crime and Police Effectiveness

One measure of police effectiveness in meeting the crime problem is
the clearing of offenses by arrest of the offenders. To what extent
these persons are later prosecuted is largely out of the hands of the
police. Police clearances of the more vicious crimes against the
person are high. Property offenses because of their great volume,
lack of witnesses, and in some instances their minor nature, show
lower clearance rates as a group (chart 8). Police success in solving
crimes, again, will depend to a large extent upon the alertness, coopera-
ti ven ess, and general assistance rendered to the police by citizens.

During 1961, police effectiveness in clearing crimes increased 2
percent. Specifically, increases were shown in murder, manslaughter,
robbery, aggravated assault, burglary, larceny, and auto theft. Rob-
bery clearances were up 8 percent in 1961 over 1960. Law enforce-
ment success in this crime category must be considered a factor in
over-all reduction in the number of robbery offenses for the year.

All city police departments, when grouped by population size, and
county law enforcement agencies showed increases in crime clearance
totals over the previous year (tables 8 and 9).

Persons Arrested

Law enforcement arrests are collected for all criminal acts by age,
sex, and race. During 1961, total arrests increased 1 percent. There

13

CRIMES CLEARED BY ARREST

1961

AGAINST THE PERSON

CLEARED

93.1%

MURDER

of NEGLIGENT

/o MANSLAUGHTER

72.6%

FORCIBLE
RAPE

10 1°/ AGGRAVATED
10. l/o ASSAULT

NOT CLEARED

AGAINST PROPERTY

CLEAREC

)

NOT CLEARED

41.6%

ROBBERY

30.0%

BURGLARY

20.8%

LARCENY

27.8%

AUTO THEFT

FBI CHART

Chart 8

n

were about 4 arrests for all types of criminal acts for each 100 Ameri-
cans. Adult male arrests outnumbered adult females better than 9
to 1. Police arrests of females continued to increase faster than male
arrests in 1961. The arrest rate in the cities was 3 times that reported
by metropolitan and rural county agencies.

Chart 9 graphically portrays the trend in police arrests from 1957
to 1961 for the crimes of murder, forcible rape, robbery, aggravated
assault, burglary, larceny, and auto theft. From 1957 through 1961,
adult arrests for these crimes increased 23 percent, persons under 18
years of age 21 percent and the total 22 percent.

Arrests of young people under 18 increased 4 percent in 1961 over
1960. This includes a 5 percent jump in the cities, 4 percent in
metropolitan counties and a 3 percent rise in the rural areas. Young
male arrests outnumbered young female arrests better than 6 to 1, but
again arrests of girls continued to increase faster in 1961 than young
male arrests, with a rise of 7 percent.

Youthful criminality is a major police problem. This young group
under 18 years of age made up almost 15 percent of all police arrests
for criminal acts in both the city and rural areas. As a group, persons
under 18 years of age represent 43 percent of all arrests for the more
serious offenses of murder, forcible rape, robbery, aggravated assault,

ARREST TRENDS

1957 - 1961

LIMITED TO MURDER, FORCIBLE RAPE, ROBBERY, AGGRAVATED
ASSAULT, BURGLARY, ALL LARCENY, AND AUTO THEFT

+ 30

+20

+ 10

1957

1958

1959

I960

1961

KEY: TOTAL ARRESTS UP 22% OVER 1957

AGE UNDER 18 UP 21% OVER 1957
AGE 18 AND OVER UP 23% OVER 1957

FBI CHART

Chart 9

15

PERCENTAGE OF ARRESTS BY AGE GROUP,
FOR ALL CRIMINAL ACTS

1961

31.5%

50 and
over

23.3%

Due to rounding may not add to 100 percent.

KEY:

PERCENTAGE OF ALL ARRESTS (TRAFFIC & SUSPICION EXClUOeO)

PERCENTAGE OF U S. POPULATION

(POPULATION DATA - BUREAU OF CENSUS, 7-1-61)

FBI CHART

Chart 10

16

burglary, larceny, and auto theft. When examined by offense, they
were involved in 59 percent of the auto theft arrests, 47 percent of the
burglaries, 48 percent of the larcenies, 22 percent of the robberies, 17
percent of the forcible rapes, 12 percent of the aggravated assaults,
and 8 percent of the murders.

Chart 10 shows the percentage representation in the population and
the percentage representation in arrests for all criminal acts by age
group for the year 1961. Further details concerning arrests by
specific offense and by age, sex, and race of the offender are available
in tabulations beginning on page 92.

Persons Charged

Not all persons arrested by police are later formally charged; i.e.,
turned over to the courts for prosecution. There are a number of
reasons for this; namely, the victim refuses to cooperate in the prose-
cution, police determine the person arrested did not commit the
alleged offense, police release arrested person with a warning, police
are unable to establish sufficient evidence for a formal charge, etc.
Tabulations beginning on page 86 indicate court dispositions of
persons formally charged by police, as well as the percentage of young
persons (local age limit) referred to juvenile court jurisdiction for
specific criminal acts. It should be kept in mind in using these
statistics that police handling of juvenile offenders differs widely.
Table 32 indicates that police refer 49 percent of the juveniles arrested
to juvenile court. The remainder are released by police with a warning
or handled directly with parents or private and public welfare agencies.
Young offenders are referred by police to the juvenile court primarily
for property crimes; namely, auto theft, burglary, larceny, receiving
and possessing stolen property, and robbery. However, based on all
persons formally charged by police, the juvenile age group makes up
14 percent of the forcible rape cases, 15 percent of the other sex
offenses, and 14 percent of the liquor law violations. (For the pur-
poses of this Program a juvenile is considered formally charged when
referred to juvenile court or criminal court.)

For adult offenders who are formally charged, acquittals and dis-
missals run high in manslaughter (mostly traffic deaths), 35 percent
and aggravated assault, 33 percent. Driving while intoxicated had
a guilty rate of 83 percent. The wide use by police of laboratory
aids in handling this type of violation must be considered a major
factor in this conviction success. For all criminal acts (excluding
traffic offenses), 79 percent of those persons formally charged were
found guilty in court or turned over to juvenile court.

Chart 11 attempts to demonstrate the experience of law enforcement
in dealing with certain violent crimes as reported by 1,439 cities for

17

CRIME AND PUNISHMENT

(LIMITED TO VIOLENT CRIMES OF MURDER, FORCIBLE RAPE, ROBBERY,
AND AGGRAVATED ASSAULT AS REPORTED BY 1,439 CITIES, 1961

47,958

CRIMES CRIMES NUMBER TOTAL ADULTS REFERRED ACQUITTED

KNOWN SOLVED OF PERSONS GUILTY TO OR

ARRESTS CHARGED JUVENILE DISMISSED

COURT

SEE TEXT

FBI CHART

Chart U

18

the year 1961. Crimes known to the police arc (hose reported and
found to have happened based on the police investigation. Crimes
solved are generally those cleared by police through the arrest of the
offender, and also some others cleared by exceptional means such as
murder followed by suicide. Crimes solved or cleared in 1901 which
occurred in 1960 are included. rl nis is a carry-over from year to yeai
and generally will balance itself; i.e., crimes committed in current year
and cleared in subsequent year. The ratio of arrests to crimes cleared
will not be one to one since the arrest of one person may clear several
crimes or several persons may be arrested for one crime.

As pointed out above, not all persons arrested will later be formally
charged and turned over for prosecution. Adults guilty will include
a small number of juveniles who were tried as adults in criminal court.
As just explained, the disposition of persons charged includes some
carry-over from the previous year. The remaining 15.7 percent (not
shown in chart) are pending cases or persons tried in another juris-
diction for another offense in lieu of the original charge.
Police Employee Data

Data is presented herein showing average police strength in cities,
by geographic division and population group. It must be remembered
that these are averages and the figures must not be interpreted as
recommended or desirable police strength. Effective police work in a

POLICE KILLED BY FELONS

BY TYPE OF POLICE ACTIVITY
1960 AND 1961

RESPONDING TO DISTURBANCE" CALLS -fi ! *)£<£

Fomily quarrels, man with gun, etc.'

INVESTIGATING BURGLARIES
IN PROGRESS

10 15%

ROBBERIES IN PROGRESS, OR
PURSUING ROBBERY SUSPECTS

14

| 22%

ATTEMPTING OTHER ARRESTS
AND TRANSPORTING PRISONERS

15

|.

23%

INVESTIGATING SUSPICIOUS
PERSONS AND CIRCUMSTANCES

8 I 12V

65 POLICE KILLED

INCLUDES CITY, COUNTY, AND STATE POLICE

FBI CHART
Chart 12

19

particular community or area will depend on many factors, only one
of which is the number of police employees.

The number of police employees per 1,000 population, as shown in
table 33, discloses the wide variations which exist in similar communi-
ties and will provide additional data for those desiring to make certain
comparisons.

The hazards of the police profession were again brought sharply into
focus in 1961 when city police, sheriffs, county and State police
reported a total of 71 law enforcement employees killed in the line of
duty. Thirty-seven officers were victims of direct attacks by criminals
with 35 of these officers dying from gunfire. Accidents took the lives
of 34 officers. Fifty-two city police were killed in 1961, an increase of
four over the prior year. During 1960 and 1961, a total of 65 police
were killed by felons. (Chart 12)

The chart following, which also combines police deaths in 1960 and
1961, discloses more police were killed while working the watch from
4 p.m. to midnight than during either of the other standard watches.
Since normally more police are assigned to work this watch, it is a
period of high exposure and would, therefore, be expected to have a
higher incidence of police deaths. In 1961, the greatest number of
fatalities occurred in the month of June when six officers were killed
by^ criminals and five were accident victims. In March, seven men
were killed by gunfire, the highest number of violent deaths for any
one month during the year. Fewer police were killed in January than
in any other month, when three officers died, all the victims of felons'
guns.

An analysis of police officers assaulted in line of duty is presented
again this year showing the continuing pattern of vicious attacks
against law enforcement officers who daily risk their lives to protect
the life and property of the citizens of their communities. Table 36
shows the breakdown of police assaulted by geographic division and
population group. Of every 100 city police officers, 8 were assaulted
during 1961.

In 1961 as in 1960, the highest rate of assaults on police occurred in
the Southern States. The big cities with over 250,000 inhabitants had
the highest rate on a population breakdown. Cities with the lowest
assault rates were in the Northern States and in the cities containing
25,000 to 50,000 population.

Out of more than 13,000 assaults on police, over half resulted in
some injury to the victim. These statistics do not, of course, disclose
the seriousness of injuries sustained, but it should be recognized that
many of these assaults were of such a nature that the victim was
disabled or missed death by a very narrow margin.

20

POLICE KILLED

DURING STANDARD POLICE WATCHES
1960 AND 1961

MIDNIGHT

MIDNIGHT

8 am

0 AM

INCLUDES CITY, COUNTY, AND STATE POLICE

FBI CHART

Chart 13

As crime continues its upward climb, the demands on police increase,
yet the number of full-time police employees to handle the job remains
relatively constant. In 1961, city police departments employed an
average of 1.9 persons per 1,000 inhabitants (including civilian em-
ployees). Rapidly expanding cities, both in area and population,
require spreading even thinner the inadequate manpower now avail-
able to scores of law enforcement agencies. Sheriffs' departments
with limited budgets find it increasingly difficult to maintain adequate
enforcement, and clerical staffs. Statistics show the wide range of
police strength in cities of comparable population size and suggest
the necessity of constantly evaluating local police needs.

Citizens of each community have a duty and responsibility to
inquire into the adequacy of police personnel, budgets, training,
salaries and, in fact, all phases of police operations, to insure this
important branch of their government has the manpower, money,
equipment, and training required to do the most effective job. An
alert, cooperative citizenry can go a long way toward assisting the
law enforcement profession in its drive to prevent crime and detect
offenders.

21

POLICE EMPLOYEE DATA

AVERAGE NUMBER OF POLICE DEPARTMENT EMPLOYEES, AND
RANGE IN NUMBER OF EMPLOYEES, PER 1,000 INHABITANTS

BY POPULATION GROUPS, DECEMBER 31, 1961

AV.
1.9

ALL
CITIES

4.3

4.4

AV.

2.6
•••••

1.1

2.7

AV.
1.7

*»••»««(

1.1

0.5

10.

4.7

3.4

av,; AV.

16 I !.5

0.3

AV.

U

AV.
1.4

1.2

CITIES CITIES

OVER 100,000

250,000 TO

250,000

CITIES
50,000

TO
100,000

CITIES
25,000

TO
50,000

CITIES
10,000

TO
25,000

CITIES
LESS
THAN

10,000

FBI CHART

Chart 14

22

Earn Ettfnramwt (£obt of iEtljtrB

As a IGaw infarct vat nt ©fftr*r, my fundamentally u u

serve mankind; to Safeguard lives ana property: to protect the innocent against
deception, the wean against oppression or intimidation, and the peaceful
against violence or disorder', and to respect tne (constitutional rights of all
men to liberty, equality and justice.

It tUtil keep my private life unsullied as an example to all; maintain coura-
geous calm in the face of danger, S.corn, or ridicule; develop Self-restraint; and
he constantly mindful of the welfare of others. ^J4onest in thought and deed
in both mu personal and official life, «^V will he exemplary in oheging the laws
of the land and the regulations of mu department. Whatever ^r see or hear of
a confidential nature or that is confided to me in mu official capacity will be
hept ever Secret unless revelation h necessary in the performance of mg dutg.

1 ltnll never act officiously or permit personal feelings, prejudices, animos-
ities or friendships to influence mg decisions. With no compromise for crime
and with relentless prosecution of criminals, ^7 will enforce the law courteously
and appropriately without fear or favor, malice or ill will, never employing
try force or violence and never accepting gratuities.

unneceSSaru force or viol

It r£f00UXZ£ the badge of my office as a symbol of public faith, and
^r accept it as a public trust to he held So long as ^7 am true to the ethics of
the police Service. *J will constantly strive to achieve these objectives and ideals,
dedicating myself before \jod to my chosen profession . . . law enforcement.

Inwrnauon.l >..oci«i,on of Ch.*f. of Pollc*. Inc.

23

Introduction

Background

The Uniform Crime Reporting Program is the outgrowth of a need
for a national and uniform compilation of police statistics. This
need was expressed by law enforcement executives many years ago.
In 1930, crime reports were solicited from police departments through-
out the Nation based on uniform classifications and procedures
developed by the Committee on Uniform Crime Records of the
International Association of Chiefs of Police (IACP). In that year
the Federal Bureau of Investigation (FBI), on request of the above
organization, assumed the role as the national clearinghouse.

The Committee on Uniform Crime Records, IACP, continues to
serve in an advisory capacity to the FBI in the operation of this
program. The assistance of the Committee is especially valuable in
actively promoting the quality of the reports supplied by the cooperat-
ing law enforcement agencies. In this connection, the Field Service
Division of the IACP is also playing an active and effective part in
quality control through surveys of police record and crime reporting
systems. Dr. Peter P. Lejins, Professor, Department of Sociology,
University of Maryland, continues as a consultant to the FBI in the
conduct of this program.

A resolution was adopted at the IACP convention in October, 1961,
calling for the formation of Uniform Crime Reporting Committees
within State law enforcement associations. The purpose of these
Committees is to promote greater interest in Uniform Crime Report-
ing, to foster more widespread administrative use of uniform crime
statistics, to encourage new contributors to the program and to
lend assistance to current contributors when the need exists. As of
June 1, 1962, 55 Uniform Crime Reporting Committees had been
formed in 41 States.

Objectives

The primary objective is to produce a reliable program of nation-
wide criminal statistics for administrative and operational use of law
enforcement agencies, and in so doing provide meaningful data for
other professionals with related interests in the crime problem, for
scholars and also to inform the average citizen of general crime
conditions.

24

Specifically, the means utilized to attain these goals are: (1)
Through a crime index consisting of seven selected offenses, an attempt
is made to measure the extent, fluctuation, and distribution of serious
crime in the United States. This count is based on these seven
offenses being reported to the police or coming directly to their
attention. (2) The total volume of all types of criminal offenses is
compiled as they become known by police arrests. (3) Since the
above are also measures of law enforcement activity, related data is
collected to demonstrate effectiveness of enforcement activities,
available police strength, and significant factors involved in crime.

Reporting Procedure

Under this national voluntary system each contributing law
enforcement agency is wholly responsible for compiling its own
crime reports for submission to the FBI. Each contributor is supplied
with the Uniform Crime Reporting Handbook which outlines in
detail procedures for scoring and classifying offenses. The Handbook
illustrates and discusses the monthly and annual reporting forms,
as well as the numerous tally sheets made available to facilitate the
periodic tabulation of the desired data.

Recognizing that a sound records system is necessary if crime
reporting is to meet desirable standards, the FBI furnishes a Manual
of Police Records to law enforcement agencies upon request. Special
Agents of the FBI are widely utilized to encourage new contributors
and to assist them by explaining the procedures and definitions
necessary under this uniform system.

On a monthly basis, city police, sheriffs, and State police report
the number of offenses that become known to them in the following-
crime categories: criminal homicide, forcible rape, robbery, aggravated
assault, burglary, larceny, and auto theft. This count is taken from
a record of all complaints of crimes received by the police from victims
or other sources or discovered by the police in their own operations.
Complaints determined by police investigation to be unfounded are
eliminated from this count. The number of "offenses known" in
these crime categories is reported to the FBI without regard to whether
anyone is arrested, stolen property is recovered, local prosecutive
policy, or any other consideration. Police agencies report on a
monthly basis the number of these crimes which they clear by arrest
and certain other analytical data pertaining to specific crime
categories.

In annual reports, "offenses known" data and clearances by arrest
are summarized by the contributors. Annual forms provide a report
of persons arrested for all criminal offenses with respect to age, sex,
and race of the offender as well as an accounting of the number of

641799°— 62 3 25

persons formally charged and their disposition. Police employee
data is collected annually, including the number of police killed and
assaulted.

Reporting Area

During the calendar year 1961 crime reports were received from
7,800 law enforcement agencies representing 96 percent of the total
United States population.

Presentation of crime data by areas as used in this publication
follows as closely as practical the definitions used by Bureaus of the
Budget and Census; namely, standard metropolitan statistical areas,
other cities and rural areas. Standard metropolitan statistical areas
are generally made up of an entire county or counties having at
least one core city of 50,000 or more inhabitants with the whole
meeting the requirements of certain metropolitan characteristics.
In New England "town" instead of "county" is used to describe
standard metropolitan statistical areas. These towns do not coincide
generally with established crime reporting units; therefore, metro-
politan State economic areas in New England are used in this area
tabulation since they encompass an entire county or counties.
Standard metropolitan statistical areas make up 63 percent of the
total United States population as reported by the Bureau of the
Census in the 1960 decennial count.

Other cities are urban places outside standard metropolitan statis-
tical areas. Most of these places of 2,500 or more inhabitants are
incorporated and comprise 13 percent of the 1960 population. Rural
areas are made up of the unincorporated portion of counties outside
of urban places and standard metropolitan statistical areas and
represent 24 percent of our national population. Throughout this
program, sheriffs, county police and many State police report on
crimes committed within the limits of the county but outside cities,
while police report on crimes committed within the city limits (urban
places).

Verification Processes

Uniformity of crime data collected under this program is of primary
concern to the FBI as the national clearinghouse. With approxi-
mately 7,800 agencies preparing crime reports on a voluntary basis,
the problems of attaining uniformity are readily apparent. Issuance
of instructions does not complete the role of the FBI. On the con-
trary, it is standard operating procedure to examine each incoming
report not only for arithmetical accuracy but also, and possibly of
even more importance, for reasonableness as a possible indication of
errors.

•26

Variations in the level and ratios among the crime classes established
by previous reports of each agency are used as a gauge of possible or
probable incompleteness or changes in reporting policy. Necessary
arithmetical adjustments or unusual variations are brought to the
attention of the submitting agency by correspondence. During 1961 ,
12,443 letters were addressed to contributors primarily as a result of
verification and evaluation processes. Correspondence with contribu-
tors is the principal tool for supervision of quality. Not only are the
individual reports studied, but also periodic trends for individual
reporting units are run, as are crime rates in descending order for all
units grouped for general comparability to assist in detecting varia-
tions and fluctuations possibly due to some reason other than chance.
For the most part, the problem is one of keeping the contributors
informed of the type information necessary to the success of this
program.

The elimination of duplication of crime reporting by the various
agencies is given constant attention. In addition to detailed instruc-
tions as to the limits of reporting jurisdictions between sheriffs and
police in urban places, lists of urban places by county are furnished to
sheriffs, county police, and in some instances State police organiza-
tions.

Uniform Crime Reporting has been taught to all law enforcement
officers attending the FBI National Academy. This Academy was
established in 1935, and there are 2,674 graduates who are still in law
enforcement, almost 28 percent of whom are the executive heads of law
enforcement agencies. The FBI also presents this subject to regional
police schools throughout the country.

Contacts by Special Agents of the FBI are utilized to enlist the
cooperation of new contributors and to explain the purpose of this
program and the methods of assembling information for reporting.
When correspondence, including specially designed questionnaires,
fails, Special Agents may be directed to visit the contributor to
affirmatively resolve the misunderstanding. During the calendar
year 1961 there were almost 5,000 personal contacts with contributors
by Special Agent personnel of the FBI. Special surveys are used to
inquire into various areas of the system.

Variations from the desired reporting standards which cannot be
resolved by the steps indicated above are brought to the attention of
the Committee on Uniform Crime Records of the IACP. The Com-
mittee may designate a representative to make a personal visit to the
local department to assist in the needed revision of records and
reporting methods.

It is clear, of course, that regardless of the extent of the statistical
verification processes used by the FBI, the accuracy of the data as-

27

sembled under this program depends upon the degree of sincere effort
exerted by each contributor to meet the necessary standards of
reporting, and, for this resaon, the FBI is not in a position to vouch
for the validity of the reports received.

The Crime Totals

Communities not represented by crime reports are relatively few,
as discussed previously and as shown by an examination of the
tables which follow presenting 1961 crime totals for the Index of
Crime classifications. The FBI conducts a continuing program to
further reduce the unreported areas.

Within each of the three areas — standard metropolitan statistical,
other urban, and rural — it is assumed that the unreported portion
had the same proportionate crime experience as that for which re-
ports were received. In lieu of figures for the entire year from those
agencies representing at least 25 percent of any one of the individual
units of the three areas indicated above for which estimates were
prepared, reports for as many as 9 months were accepted as sufficiently
representative on which to base estimates for the year. Estimates
for unreported areas are based on the reported crime experience of
similar areas within each State. Certain refinements are made of
this basic estimating procedure as the need arises.

Crime Trends

Crime data for trends are homogeneous to the extent that figures
from identical reporting units are used for each of the periods tabu-
lated. Exclusions are made when figures from a reporting unit are
obviously inaccurate for any period or when it is ascertained that
unusual fluctuations are due to such variables as improved record
procedures and not to chance.

As a matter of standard procedure, crime trends for individual
places are analyzed by the FBI five times a year. Any significant
increase or decrease is made the subject of a special inquiry with
the contributing agency. Whenever it is found that crime reporting
procedures are responsible for the difference in level of crime, the
figures for specific crime categories or totals are excluded from the
trend tabulations.

Pop ulat ion Da ta

In computing crime rales by State, geographic division, and the
Nation as a whole, population estimates released by tin' Bureau of the
Census December 13, 1961, were used. Since estimated population
was not available for most individual places, cities and counties, 1960

28

census figures were utilized in preparing such tabulations. The
United States population increased 2.1 percent 1961 over 1960.

Crime estimates for individual unreported units were based on the
1960 census population. This was discussed with the Bureau of
the Census, and it was agreed this was the most practical approach
since differences would be negligible. Population estimates for
individual places will be resumed for the 1962 annual report.

Classification of Offenses

A stumbling block to a uniform national crime reporting system
in the United States results from variations in definitions of criminal
violations among the States. This obstacle, insofar as uniformity of
definitions is concerned, was removed by the adoption of an arbitrary
set of crime classifications. To some extent the title of each classifica-
tion connotes in a general way its content. However, in reading the
explanation of each category it is very important to keep in mind that
because of the differences among the State codes there is no possibility
in a system such as this to distinguish between crimes by designations
such as "felony" and "misdemeanor."

A continuing program is carried out to furnish contributors with
timely supplemental instructions as the need arises in certain classifica-
tions. These are aimed at the clarification of any misunderstandings
which may arise and the redirection of attention to the proper
application of classification procedures under this system.

Brief definitions of crime classifications utilized in this program are
listed below:

1. Criminal homicide. — (a) Murder and nonnegligent manslaugh-
ter: all willful felonious homicides as distinguished from deaths caused
by negligence. Excludes attempts to kill, assaults to kill, suicides,
accidental deaths, or justifiable homicides. Justifiable homicides are
limited to: (1) the killing of a felon by a peace officer in line of duty;
(2) the killing of a holdup man by a private citizen, (b) Manslaugh-
ter by negligence: any death which the police investigation establishes
was primarily attributable to gross negligence of some individual
other than the victim.

2. Forcible rape. — Rape by force, assault to rape and attempted
rape. Excludes statutory offenses (no force used — victim under age
of consent).

3. Robbery. — Stealing or taking anything of value from the person
by force or violence or by putting in fear, such as strong-arm robbery,
stickups, armed robbery, assault to rob, and attempt to rob.

4. Aggravated assault. — Assault with intent to kill or for the pur-
pose of inflicting severe bodily injury by shooting, cutting, stabbing,
maiming, poisoning, scalding, or by the use of acids, explosives, or

29

other means. Excludes simple assault, assault and battery, fighting,
etc.

5. Burglary — breaking or entering.- — Burglary, housebreaking,
safecracking, or any unlawful entry to commit a felony or a theft,
even though no force was used to gain entrance and attempts.
Burglary followed by larceny is not counted again as larceny.

6. Larceny-theft (except auto theft) — (a) Fifty dollars and over
in value; (b) under $50 in value. Thefts of bicycles, automobile ac-
cessories, shoplifting, pocket-picking, or any stealing of property or
article of value which is not taken by force and violence or by fraud.
Excludes embezzlement, "con" games, forgery, worthless checks, etc.

7. Auto theft. — Stealing or driving away and abandoning a motor
vehicle. Excludes taking for temporary use when actually returned
by the taker or unauthorized use by those having lawful access to the
vehicle.

8. Other assaults. — Assaults and attempted assaults which are not
of an aggravated nature.

9. Forgery and counterfeiting. — Making, altering, uttering or
possessing, with intent to defraud, anything false which is made to
appear true. Includes attempts.

10. Embezzlement and fraud. — Fraudulent conversion, embezzle-
ment, and obtaining money or property by false pretenses.

11. Stolen property; buying, receiving, possessing. — Buying, re-
ceiving, and possessing stolen property and attempts.

12. Weapons; carrying, possessing, etc. — All violations of regu-
lations or statutes controlling the carrying, using, possessing, fur-
nishing, and manufacturing of deadly weapons or silencers and
attempts.

13. Prostitution and commercialized vice. — Sex offenses of a
commercialized nature and attempts, such as prostitution, keeping
bawdy house, procuring, transporting, or detaining women for
immoral purposes.

14. Sex offenses (except forcible rape, prostitution, and commer-
cialized vice). — Statutory rape, offenses against chastity, common
decency, morals, and the like. Includes attempts.

15. Offenses against the family and children. — Nonsupport, neg-
lect, desertion, or abuse of family and children.

16. Narcotic drug laws. — Offenses relating to narcotic drugs, such
as unlawful possession, sale, or use. Excludes Federal offenses.

17. Liquor laws. — State or local liquor law violations except
"drunkenness" (class 18) and "driving while intoxicated" (class 22).
Excludes Federal violations.

18. Drunkenness. — Drunkenness or intoxication.

19. Disorderly conduct. — Breach of the peace.

30

20. Vagrancy. — Vagabondage, begging, loitering, etc.

21. Gambling. — Promoting, permitting, or engaging in gambling.

22. Driving while intoxicated. — Driving or operating any motor
vehicle while drunk or under the influence of liquor or narcotics.

23. Violation of road and driving laws. — Improper handling of a
moving motor vehicle.

24. Parking violations. — Improper or overtime parking.

25. Other violations of traffic and motor vehicle laws. — Traffic
and motor vehicle violations other than classes 22-24.

26. All other offenses. — All violations of State or local laws except
classes 1-25.

27. Suspicion. — Arrests for no specific offense and released without
formal charges being placed.

31

The Index of Crime, 1961

In this section, tabulations are shown to indicate the probable
extent, fluctuation, and distribution of crime for the United States
as a whole, geographic divisions, individual States, and standard
metropolitan statistical areas. The measure used is a Crime Index
consisting of seven important offenses which are counted as they
become known to the law enforcement agencies. Crime classifications
used in the index are: murder and nonnegligent manslaughter,
forcible rape, robbery, aggravated assault, burglary — breaking or
entering, larceny $50 and over, and auto theft.

The total number of criminal acts that occur is unknown, but those
that are reported to the police provide the first means of a count.
Not all crimes come readily to the attention of the police; not all
crimes are of sufficient importance to be significant in an index and
not all important crimes occur with enough regularity to be meaningful
in an index. With these considerations in mind, the above crimes
were selected as a group to furnish an abbreviated and convenient
measure of the crime problem.

32

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33

Table 2.— Index of

Crime

>y Geographic

Year

Population

Total offenses

Murder and
nonnegligent
manslaughter

Forcible rape

Number

Rate per
100,000

Num-
ber

Rate per
100,000

Num-
ber

Rate per
100,000

Continental United

States.1

1960
1961

179, 323, 175
182, 953, 000

1, 862, 703

1,926,119

+3.4

1, 038. 7
1, 052. 8

+1.4

8,971
8,599
-4. 1

5.0

4.7

-6.0

15,986
16, 012

+.2

8.9

8.8

-1.1

1960
1961

New England

10, 509, 367
10, 723, 000

76, 273

86, 996

+14.1

17. 276

18. 892

5,226

4,980

38, 645

48. 531

2,077

2,706

10, 934

9,607

2,115

2.280

725.8
811.3
+11.8
681.4
722.7
539.2
502.0
750.6
927.2
342.2
435.7
1, 272. 2
1, 108. 1
542.5
577.2

149

137

-8.1

41

25

16

16

74

77

8

4

9

9

1

6

1.4
1.3
-7.1
1.6
1.0
1.7
1.6
1.4
1.5
1.3

.6
1.0
1.0

.3
1.5

454

483

+6.4

103

64

48

58

249

291

25

19

20

15

9

36

4.3
4.5
+4.7
4.1
2.4
5.0
5.8
4.8
5.6
4.1
3.1
2.3
1.7
2.3
9.1

Connecticut

Maine

1960
1961
1960
1961
1960
1961
1960
1961
1960
1961
1960
1961

1960
1961

2, 535, 234

2, 614, 000

969, 265

992, 000

5, 148, 578

5, 234, 000

606, 921

621, 000

859, 488

867, 000

389, 881

395,000

Massachusetts

New Hampshire. . .

Rhode Island

Vermont

Middle Atlantic

Percent change..

34, 168, 452
34, 745, 000

307, 233

319, 414

+4.0

58, 246

62, 783

175, 029

181, 566

73, 958

75, 065

899.2

919.3

+2.2

960.1

1, 005. 5

1, 042. 9

1, 066. 0

653.4

654.6

935
1,050
+12.3
164
153
479
603
292
294

2.7
3.0
+11.1
2.7
2.5
2.9
3.5
2.6
2.6

2,446

2,259

-7.6

442

458

1,061

1,004

943

797

7.2
6.5
-9.7
7.3
7.3
6.3
5.9
8.3
6.9

New Jersey

New York

1960
1961
1960
1961
1960
1961

1960
1961

6, 066, 782
6, 244, 000
16, 782, 304
17, 033, 000
11.319,366
11, 468, 000

Pennsylvania

East North Central. .
Percent change. ..

36,225,024
36, 822, 000

397, 413
410. 147
+3.2
168, 724
174, 022
39, 596
42, 112
95, 817
97, 731
73, 200
75, 320
20. 076
20, 962

1, 097. 1

1,113.9

+1.5

1,673.7

1, 696. 5

849.2

893.9

1, 224. 8

1, 228. 7

754.1

762.7

508.0

521.2

1,386

1.360

-1.9

489

492

202

190

334

309

311

306

50

63

3.8
3.7
-2.6
4.9
4.8
4.3
4.0
4.3
3.9
3.2
3.1
1.3
1.6

3,633

3,573

-1.7

1,773

1,767

217

226

962

925

572

554

109

101

10.0
9.7
-3.0
17.6
17.2
4.7
4.8
12.3
11.6
5.9
5.6
2.8
2.5

Illinois

1960
1961
1960
1961
1960
1961
1960
1961
1960
1961

1960
1961

10,081,158
10, 258, 000
4, 662, 498
4,711,000
7, 823, 194
7, 954, 000
9, 706, 397
9, 876, 000

3, 951, 777

4, 022, 000

Ohio

Wisconsin

West North Central. .
Percent change

15, 394, 115
15, 581, 000

120. 014

121, 278
+1.1

14, 099

13, 846

14, 464
14, 531

25, 338

26. 098
52, 521
52. 189

7, 385
8.245
2.357
2,490
3,850
3,879

779.6
778.4
-.2
511.3
498.2
663.9
662.3
742.2
752.1
1,215.8
1. 192. 1
523.3
576.2
372.7
389.1
565. 8
562.2

362

386

+6.6

17

36

64

41

42

34

189

223

33

34

3

6

14

12

2.4

2.5

+4.2

.6

1.3

2.9

1.9

1.2

1.0

4.4

5.1

2.3

2.4

.5

.9

2.1

1.7

1,029

993

-3.5

102

81

109

118

81

94

627

578

59

47

14

33

37

42

6.7
6.4
-4.5
3.7
2.9
5.0
5.4
2.4
2.7
14.5
13.2
4.2
3.3
2.2
5.2
5.4
6.1

Iowa. ..

1960
1961
1960
1961
1960
1961
1960
1961
1960
1961
1960
1961
1960
1961

2, 757, 537

2, 779, 000
2, 178, 611
2, 194, 000

3. 413, 864

3, 470, 000

4. 319, 813
4. 378, 000
1, 411, 330
1, 431. 000

632, 446
640, 000
680, 514
690, 000

Kansas

Minnesota

Nebraska. .

North Dakota

South Dakota

See footnotes at end of table.

34

Divisions and States, 1960-61

Larceny $50 and

Robbery

Aggravat

■(I assault

Burglary

o vet-

Auto theft

Number

Rate per

Number

Kate per

Number

Rate per

Number

Rate pei

Number

Rate per

100,000

100,000

100,000

100,000

100,000

92, 724

51.7

130, 901

73.0

818, 673

456.5

476, 928

266.0

318, 520

177.6

91,659

50.1

133, 020

72.7

852, 506

466.0

498,117

272.3

326, 206

178.3

-1.1

-3.1

+ 1.6

-.4

+4.1

+2.1

+4.4

+2.4

+2.4

+.4

1,514

14.4

1,866

17.8

33, 190

315.8

20, 459

194.7

18, 641

177.4

1,543

14.4

2,154

20.1

38, 658

360.5

22, 698

211.7

21, 323

198.9

+1.9

+15.4

+12.9

+16.5

+14.2

+10.9

+8.7

+14.4

+ 12. 1

236

9.Y

548

21.6

8,452

333.4

4,608

181.8

3,288

129.7

238

9.1

551

21.1

9,526

364.4

5,068

193.9

3,420

130.8

77

7.9

105

10.8

2,380

245.5

1,458

150.4

1,142

117.8

87

8.8

123

12.4

2,615

263.6

1,359

137.0

722

72.8

1,052

20.4

1,000

19.4

15, 918

309.2

9,484

184.2

10, 868

211.1

1,066

20.4

1,181

22.6

19, 683

376.1

12,018

229.6

14, 215

271.6

18

3.0

30

4.9

1,108

182.6

537

88.5

351

57.8

21

3.4

45

7.2

1,573

253.3

589

94.8

455

73.3

122

14.2

165

19.2

4,388

510.5

3,577

416.2

2,653

308.7

115

13.3

233

26.9

3,937

454.1

3,121

360.0

2,177

251.1

9

2.3

18

4.6

944

242.1

795

203.9

339

86.9

16

4.1

21

5.3

1,324

335.2

543

137.5

334

84.6

13, 717

40.1

21, 235

62.1

115,474

338.0

98, 085

287.1

55, 341

162.0

13, 287

38.2

22,094

63.6

125, 622

361.6

98, 200

282.6

56, 902

163.8

-3.1

-4.7

+4.0

+2.4

+8.8

+7.0

+.1

-1.6

+2.8

+1.1

2,591

42.7

3,331

54.9

25, 698

423.6

14, 112

232.6

11, 908

196.3

2,371

38.0

3,299

52.8

29, 329

469.7

14, 272

228.6

12, 901

206.6

7,379

44.0

12, 338

73.5

56, 374

335.9

67, 612

402.9

29, 786

177. 5

6,921

40.6

13, 305

78.1

60, 234

353. 6

69, 067

405.5

30, 432

178.7

3,747

33.1

5,566

49.2

33, 402

295.1

16, 361

144.5

13, 647

120. 6

3,995

34.8

5,490

47.9

36,059

314.4

14, 861

129.6

13, 569

118.3

32, 528

89.8

25, 665

70.8

165, 584

457.1

94, 473

260.8

74, 144

204.7

32, 039

87.0

26, 190

71.1

172, 267

467.8

101, 029

274.4

73, 689

200.1

-1.5

-3.1

+2.0

+.4

+4.0

+2.3

+6.9

+5.2

-.6

-2.2

21,048

208.8

12, 724

126.2

58, 241

577.7

38, 830

385.2

35, 619

353.3

20, 977

204.5

13, 128

128.0

60, 204

586.9

41, 062

400.3

36, 392

354.8

1,568

33.6

1,683

36.1

19, 958

428.1

8,526

182.9

7,442

159.6

1,783

37.8

1,577

33.5

20, 586

437.0

9,817

208.4

7,933

168.4

5,695

72.8

7,419

94.8

46, 111

589.4

21, 409

273.7

13, 887

177.5

5,004

62.9

7,802

98.1

46, 861

589.2

22, 964

288.7

13, 866

174.3

3,890

40.1

3,195

32.9

33, 427

344.4

18, 736

193.0

13, 069

134.6

3,914

39.6

3,066

31.0

35, 595

360.4

19, 838

200.9

12, 047

122.0

327

8.3

644

16.3

7,847

198.6

6,972

176.4

4.127

104.4

361

9.0

617

15.3

9,021

224.3

7,348

182.7

3,451

85.8

5,929

38.5

4,211

27.4

57, 924

376.3

31, 127

202.2

19, 432

126.2

5, 702

36.6

4,354

27.9

59, 557

382.2

31, 709

203.5

18, 577

119.2

-3.8

-4.9

+3.4

+1.8

+2.8

+1.6

+1.9

+.6

-4.4

-5.5

301

10.9

236

8.6

6,375

231.2

4,973

180.3

2. 095

76.0

291

10.5

235

8.5

6,356

228.7

4,907

176.6

1,940

69.8

410

18.8

632

29.0

7,705

353.7

3,644

167.3

1,900

87.2

460

21.0

608

27.7

7,275

331.6

4,149

189.1

1,880

85.7

950

27.8

351

10.3

11, 926

349.3

7,322

214.5

4,666

136.7

951

27.4

413

11.9

12, 473

359.5

7,464

215.1

4,669

134.6

3,913

90.6

2,619

60.6

25, 712

595.2

11, 479

265.7

7,982

184.8

3,637

83.1

2,705

61.8

26, 782

611.7

10, 913

249.3

7, 351

167.9

253

17.9

232

16.4

3,267

231.5

1,771

125.5

1,770

125.4

234

16.4

257

18.0

3,730

260.7

2,289

160.0

1, 654

115.6

40

6.3

33

5.2

1,252

198.0

585

92.5

430

68.0

68

10.6

53

8.3

1,286

200.9

595

93.0

449

70.2

62

9.1

108

15.9

1,687

247.9

1,353

198.8

589

86.6

61

8.8

83

12.0

1,655

239.9

1,392

201.7

634

91.9

35

Table 2. — Index of Crime by Geographic

Area

South Atlantic 2_

Percent change-
Delaware

Florida

Georgia

Maryland

North Carolina. ..
South Carolina___.

Virginia

West Virginia

East South Central.

Percent change ..
Alabama

Kentucky..
MississippL

Tennessee..

West South Central-
Percent change-
Arkansas

Louisiana.
Oklahoma-
Texas

Mountain.

Percent change .
Arizona

Colorado

Idaho

Montana

Nevada

New Mexico.

Utah..

Wyoming

Pacific-

Percent change.
Alaska

California...

Hawaii

Oregon

Washington.

Year

1960
1961

1961
1960
1961
1960
1961
1960
1961
1960
1961
1960
1961
1960
1961
1960
1961

1960
1961

1961
1960
1961
1960
1961
1960
1961

1960
1961

1960
1961
1960
1961
1960
1961
1960
1961

1960
1961

1960
1961
1960
1961
1960
1961
1960
1961
1960
1961
1960
1961
1960
1961
1960
1961

1960
1961

I960
1961
I960
1961
1960
1961
I960
1961
1960
196]

Population

25. 971, 732

26, 545, 000

446, 292
458, 000

4. 951, 560

5, 222, 000
3.943,116
3. 987. 000
3, 100. 689

3, 188, 000

4. 556. 155
4. 614. 000
2, 382, 594

2, 407, 000

3, 966, 949

4, 059. 000
1. 860, 421
1, 850. 000

12, 050, 126
12, 208, 000

3, 266, 740
3, 302, 000
3, 038, 156
3, 076, 000
2, 178, 141

2, 215, 000

3, 567, 089
3, 615, 000

16, 951, 255
17, 266, 000

1,786,272
1,797,000
3, 257, 022
3,321,000
2, 328, 284
2, 360, 000
9, 579, 677
9. 788, 000

6, 855, 060
7,073,000

1,302,161
1,391,000
1,753,947
1,781,000
667, 191
684, 000
674, 767
682, 000
285, 278
299, 000
951, 023
983, 000
890, 627
916, 000
330, 066
338, 000

21,198,044
21,989,000

226, 167

234, 000

15,717,204

16, 397, 000

632, 772

657,000

1 . 768, 687

1,799,000

2,853,214

2,902.000

Total offenses

Number

249. 753

260, 919

+4.5

4,299

4,563

76, 980

74, 824

33. 758

37, 612

28, 815

31, 887

31, 706

32, 044

19, 789

21, 552

32, 648

35, 671

8,469

8,312

91,000
+2.1
25, 853
24, 878
24, 235
24, 266
9,551
10, 208
29, 457
31, 648

176,309
172, 643
—2. 1
10,317
10, 481
30, 799
27, 223
24,968
24, 745
110,225
110,194

82, 044

90,246

+10.0

21,283

24, 074

21, 635

25, 708

4,701

5,025

6,534

6,786

5,686

6,531

11,564

11,087

7,838

8,082

2,803

2,953

364, 568

373, 476

+2.4

2, 332

2,452

309, 552

316,208

6, 977

8,358

16,322

17,011

29, 385

29. 447

Rate per
100,000

961.6
982.9
+2.2
963.3
996.3
1, 554. 7
1, 432. 9
856.1
943.4
929.3
1,000.2
695.9
694.5
830.6
895.4
823.0
878.8
455.2
449.3

739.4
745.4
+.8
791.4
753.4
797.7
788.9
438.5
460.9
825.8
875.5

040.1
999.9
-3.9
577.6
583.2
945.6
819.7
072. 4
048. 5
150. 6
125. 8

1,196.8

1,275.9

+6.6

1, 634. 4

1, 730. 7

1,233.5

1,443.5

704. 6

734.6

968.3

995.0

1,993.1

2. 184. 3

1,216.0

1,127.9

880.1

882. 3

849.2

873.7

719.8
698.5
-1.2
031.1
047.9
969.5
928. 5
102. 6
272. 1
922. s
945. 6
029. 9
014.7

Murder and
nonnegligent
manslaughter

Num-
ber

2,522

2.172

-13.9

30

18

527

477

469

400

168

143

456

401

314

280

395

283

81

82

1,131
1,147
+1.4
406
427
205
201
218
229
302
290

1,417
1,278
-9.8
152
163
270
211
174
119
821
785

311
311

758
758

23

27
616
605
15
15
43
48
61
63

Rate per
100,000

9.7

8.2

15.5

6.7

3.9

10.6

9.1

11.9

10.0

5.4

4.5

10.0

8.7

13.2

11.6

10.0

7.0

4.4

4.4

9.4
9.4

12.4
12.9
6.7
6.5
10.0
10.3
8.5
8.0

4.5
4.4
-2.2
6.0
6.0
4.2
4.7
2.4
2.0
3.9
2.5
8.8
7.0
7.2
6.6
1.0
1.7
4.8
3.3

3.6
3.4
-5.6
10.2
11.5
3.9
3.7
2.4
2.3
2. 1
2.7
2.1

Forcible rape

Num-
ber

2,010

2,161

+7.5

37

24

403

398

294

380

224

262

345

327

225

213

287

373

78

81

750
769
+2.5
281
252
163
146
112
129
194
242

1,638
1,624
-.9
159
130
279
267
299
286
901
941

767

743

-3.1

209

200

229

230

48

44

48

48

36

24

113

123

61

62

23

12

3, 259

3,407

+4.5

47

■A]

2,859

3,033

21

25

166

138

166

180

i 1960 estimate revised upward based on records and reporting changes by several agencies and reflected
in 1961 count.

36

Divisions and Stales, 1960-61 — Continued

Robbery

Aggravated assault

Burglary

Larceny $50 and
over

Auto

theft

Number

Rate per
100,000

Number

Rate per

100,000

Number

Rate per
100,000

Number

Rate pei
100,000

Number

Rate per
100,000

9,877

38.0

30, 518

117.5

112,742

134. l

56. 420

217.2

137. 3

10, 100

38.0

30, 410

114. 6

117, 137

441.3

61,429

231. 4

37. 510

141. 3

+2.3

-.4

-2. 5

+3.9

+1.7

+8.9

+6. 5

+ 5. 2

+2.9
161.3

152

"34.1

96

21.5

2,467

552.8

797

178. 6

720

120

26.2

98

21.4

2, 513

548. 7

1,062

231.9

728

159.0

4.005

80.9

5,292

106.9

39, 966

807.1

17.49K

353. 4

9, 289

187.6

3,746

71.7

5,835

111.7

37, 627

72(1. 5

17, 879

342.4

8,862

169. 7

974

24.7

3,892

98.7

15,461

392.1

6, 855

173.8

5,813

147.4

1.129

28.3

3, 750

94.1

17, 439

437.4

8, 254

207.0

6,260

157.0

1, 158

37.3

2.746

88.6

11,360

366. 4

7,451

240. 3

5, 708

1-1 1

1, 330

41.7

2,819

88.4

12, 348

387.3

8,688

272. 5

6. 297

197. 5

776

17.0

8,415

184.7

11,779

258.5

6,381

HI). 1

3,554

78.0

653

14.2

7,725

167.4

12. 478

270.4

6,742

116.1

3, 71H

80.6

477

20.0

2,396

100.6

8,958

376.0

4, 925

206.7

2,494

104.7

500

20.8

2,313

96.1

10. 241

425. 5

5,293

219.9

2, 712

112.7

1.004

25.3

4,056

102.2

13, 736

346.3

8,407

211.9

1. 763

120. 1

1,026

25.3

4,271

105.2

15, 151

373.3

9,386

231. 2

5, 1S1

127.6

238

12.8

641

34.5

4,358

234.2

1,781

95. 7

1,292

69.4

216

11.7

629

34.0

4, 396

237.6

1,645

88.9

1,263

68. 3

3,184

26.4

8.793

73.0

43. 666

362.4

19, 553

162.3

12, 019

99.7

3,160

25.9

8,929

73.1

43, 690

357.9

21, 098

172.8

12, 207

ion. o

-.8

-1.9

+1.5

+•1

+.1

-1.2

+7.9

+6.5

+1.6

+ .3

898

27.5

4,032

123.4

11,428

349.8

5, 955

182.3

2, 853

87.3

630

19.1

3,802

115.1

11,014

333. 6

6,218

188.3

2, 535

76.8

1,001

32.9

1, 533

50.5

11, 274

371.1

6,277

206.6

3,782

124.5

1,085

35.3

1,424

46.3

11,271

366.4

6,809

221.4

3,330

108.3

324

14.9

1, 435

65.9

4,459

204.7

1,952

89.6

1.051

48.3

345

15.6

1,425

64.3

4,703

212.3

2,066

93.3

1,311

59.2

961

26.9

1,793

50.3

16, 505

462.7

5,369

150.5

4, 333

121.5

1,100

30.4

2,278

63.0

16, 702

462. 0

0, 005

166.1

5. 031

139. 2

5,820

34.3

15, 012

88.6

86,838

512. 3

38, 527

227.3

27,057

159. 6

5,716

33.1

14, 919

86.4

84, 522

489.5

38, 599

223. 6

25, 985

150. 5

-1.8

-3.5

-.6

-2.5

-2.7

-4.5

+.2

-1.6

-4.0

-5.7

443

24.8

1,028

57.6

4,870

272.6

2,844

159.2

821

46.0

446

24.8

940

52.3

4,994

277.9

2,814

156.6

994

55.3

1,484

45.6

2,564

78.7

12,615

387.3

7,386

226.8

6,201

190.4

1,476

44.4

2,215

67.0

11.180

336.6

6, 241

187.9

5,633

169.6

914

39.3

827

35.5

12, 187

523. 4

6,070

260.7

4,497

193.1

804

34.1

1,173

49.7

11,951

506.4

5,982

253. 5

4,430

187.7

2,979

31.1

10, 593

110.6

57, 166

596.7

22, 227

232. 0

15, 538

162.2

2, 990

30.5

10, 591

108. 2

56. 397

576.2

23. 562

240.7

14.928

152. 5

3,286

47.9

3,861

56.3

34. 991

510.4

23,013

335.7

15.815

230. 7

3,653

56.6

3,305

46.7

38. 668

546.7

25, 862

365.6

17, 704

250.3

+11.2

+7.7

-14.4

-17.1

+10.5

+7.1

+12.4

+8.9

+11.9

+8.5

706

54.2

1,555

119.4

8,926

685.5

5,403

414.9

4,406

338.4

786

56.5

1,107

79.6

10, 262

737.7

6,692

481.1

4,943

355.4

1.362

77.7

702

40.0

9,996

569.9

5,523

314.9

3,750

213.8

1.633

91.7

673

37.8

11,681

655. 9

6,484

364.1

4, 924

276. 5

92

13.8

99

14.8

2,011

301.4

1,768

265.0

667

100.0

64

9.4

100

14.6

2,203

322. 1

1,827

267.1

773

113.0

186

27.6

163

24.2

2,675

396.4

1.793

265.7

1,643

243.5

173

25.4

185

27.1

2,857

418.9

1,983

290.8

1,523

223.3

211

74.0

144

50.5

2,606

913. 5

1,546

541.9

1,118

391.9

317

106.0

187

62.5

2,724

911.0

1,842

616.1

1,416

473.6

368

38.7

844

88.7

4, 132

434.5

3,601

378.6

2,438

256. 4

373

37.9

744

75.7

4,157

422. 9

3,511

357.2

2, 114

215. 1

185

20.8

229

25.7

3,655

410.4

2,285

256.6

1,414

158.8

186

20.3

187

20.4

3,558

388.4

2,447

267.1

1,626

177. 5

176

53.3

125

37.9

990

299.9

1,094

331.4

379

114.8

121

35.8

122

36.1

1.226

362. 7

1,076

318. 3

385

113.9

16. 869

79.6

19, 740

93.1

168, 264

793.8

95, 271

449.4

60, 407

285. 0

16, 459

74.9

20, 665

94.0

172, 385

784.0

97, 493

443.4

62, 309

283.4

-2.4

-5.9

+4.7

+1.0

+2.4

-1.2

+2.3

-1.3

+3.1

-.6

64

28.3

102

45.1

751

332.1

797

352.4

548

242.3

29

12.4

121

51.7

891

380.8

862

368.4

491

209. 8

15, 287

97.3

18, 707

119.0

143, 102

910.5

77, 648

494.0

51,333

326.6

14, 832

90.5

19, 591

119.5

146, 615

894.2

79, 137

482.6

52, 395

319. 5

69

10.9

33

5.2

3.328

525.9

1,803

284.9

1,708

269.9

70

10.7

51

7.8

3,909

595.0

2,285

347.8

2,003

304.9

563

31.8

460

26.0

7,175

405.7

5,604

316.8

2,311

130.7

626

34.8

430

23.9

7,276

404.4

5,994

333.2

2,499

138. 9

886

31.1

438

15.4

13.908

487.5

9,419

330.1

4, 507

158. 0

902

31.1

472

16.3

13. 694

471.9

9,215

317.5

4,921

169.6

2 Includes the District of Columbia.

37

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77

General United States Crime Statistics

The data presented in this section is primarily of value to the law
enforcement executive for the purpose of comparing the crime ex-
perience in his community with the averages reported nationally by
similar communities. Crime trends and rates are tabulated by
grouping places according to population size. Police performance in
clearing crimes by arrest and the number of persons they charge for
these crimes are presented by population group and geographic division.
National city averages are also shown indicating the type and value
of the property stolen, by offense and t}^pe, and value recovered by
police investigation. Robbery, burglary, and larceny-theft are ex-
amined by type, as well as where and when they occurred.

City and rural arrest rates are shown for all criminal offenses.
Arrest rates by population group are also listed for specific offenses.
This is another step in building totals for crime categories other than
those in the Crime Index and in presenting crimes known to the police
through arrests.

It is important to remember in stud3^ing averages that about half
the units used must be above and about half below. National averages
can provide the police administrator with valuable guidance in ana-
lyzing the local crime count, as well as the performance of his force
in combating crime. The analysis, however, does not end with such
a comparison, for it is only through an appraisal of local conditions
that a clear picture of the community crime problem or the effective-
ness of the police force is possible.

78

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82

Table 7. — City Crime Trends, 1961 versus Average 1956-60

[Offenses known to the police in 2,700 cities over 2,500; total population 87,337,146]

Number of offenses

Percent

Offense

Average
1956-60

1961

change

TOTAL

1,807,257

2, 126, 638

+17.7

Murder and nonnegligent manslaughter

3,687

2,592

J 6, 933

46, 544

69, 925

410, 331

2 1, 073, 308

193, 937

4,105

2,577

7,900

54, 362

80, 498

503, 727

2 1, 256, 171

217, 298

+11.3

-.6

+13.9

+16. 8

+15.1
+22.8
+17.0
+12.0

Manslaughter by negligence

Forcible rape .

Robbery

Aggravated assault _ _ . _ .

Burglary— breaking or entering

Larceny— theft

Autotheft _- .

1 Beginning in 1958 the rape category was limited to forcible offenses. Prior to 1958 statutory cases were
also included. The forcible rapes used to construct the annual average for 1956-57 were estimates based on
special offense analyses furnished by over 400 selected cities (total population over 50,000,000) which showed
the proportion of reported rapes classified as forcible each year.

2 Includes all reported thefts regardless of value of property stolen.

Table 8. — Offenses Known, Cleared by Arrest, and Persons Charged (Held
for Prosecution), 1961, by Population Groups, Number per 100 Known
Offenses

Population group

TOTAL, GROUPS I-VI

2,813 cities; total population
75,642,090:

Offenses known...

Offenses cleared by arrest
Persons charged.

GROUP I

41 cities over 250,000; total
population 30,162,765:

Offenses known

Offenses cleared by arrest
Persons charged

3 cities over 1,000,000; total

population 11,454,640:

Offenses known

Offenses cleared by arrest

Persons charged

5 cities, 750,000 to 1,000,000;

total population

4,267,275:

Offenses known

Offenses cleared by arrest

Persons charged

10 cities, 500,000 to 750,000;

total population

6,218,730:

Offenses known

Offenses cleared by arrest

Persons charged

23 cities, 250,000 to 500,000;

total population

8,222,120:

Offenses known

Offenses cleared by arrest
Persons charged

Total

100.0
26.7
20.8

100.0
28.9
20.4

100.0
29.7
18.3

100.0
33.7
26.1

100.0
29.4
21.1

100.0
25.7
19.2

Criminal
homicide

Murder

and
nonneg-
ligent
man-
slaugh
ter

100.0
93.1
95.9

100.0
93.3
95.9

100.0
92.4
105.9

100.0
95.1
86.0

100.0
93.2

88.2

100.0
93.0
94.9

Man-
slaugh-
ter by
negli-
gence

100.0

86.8

100.0
85.5
61.9

100.0
81.8
84.1

100.0

87.5

103.9

100.0

100.0
82.6

52.8

For-
cible
rape

100.0
72.6

78.4

100.0
71.5
71.9

100.0
72.2

80.8

100.0
74.9

100.0
66.7
59.6

100.0
71.0
67.8

Rob-
bery

100.0
41.6

45.8

100.0
42.6
44.4

100.0
42.1
48.3

100.0
48.9
46.6

100.0
36.5
44.2

100.0
42.2
37.5

Aggra-
vated
assault

100.0
78.7
62.1

100.0

78.0
55.6

100.0
77.5
56.0

100.0
82.2
59.6

100.0
76.7

54.8

100.0
76.3
52.0 I

Bur-
glary—
break-
ing or
enter-
ing

100.0
30.0
21.6

100.0
30.9
19.3

100.0
30.7
16.8

100.0
34.5
25.7

100.0
36.4
22.4

100.0
26.6
17.0

Lar-
ceny-
theft

100.0
20.8
15.7

100.0
22.5
14.9

100.0

20.7

9.5

100.0
26.8
20.8

100.0
25.1
16.9

100.0
20.7
16.2 I

Auto
theft

100.0
27.8
24.0

100.0
24.4
19.8

100.0
27.2
19.2

100.0
25.7
19.5

100.0
20.3
19.9

100.0
24.3
20.5

83

Table 8. — Offenses Known, Cleared by Arrest, and Persons Charged (Held
for Prosecution), 1961, by Population Groups, Number per 100 Known
Offenses — Continued

Population group

63 cities, 100,000 to 250,000;

total population

9,099,947:

Offenses known

Offenses cleared by arrest.
Persons charged

GROUP III

148 cities, 50,000 to 100,000;

total population

10,304,513:

Offenses known

Offenses cleared by arrest.
Persons charged

GROUP IV

276 cities, 25,000 to 50,000;

total population

9,610,720:

Offenses known

Offenses cleared by arrest.
Persons charged

group v

658 cities, 10,000 to 25,000;

total population

10,235,078:

Offenses known

Offenses cleared by arrest.
Persons charged.

GROUP VI

1,127 cities under 10,000;
total population
6,229,067:

Offenses known

Offenses cleared by arrest.
Persons charged

METROPOLITAN COUNTIES1

72 counties; total popula-
tion 9,716,492:

Offenses known

Offenses cleared by arrest.
Persons charged

RURAL COUNTIES

519 counties; total popula-
tion 11,036,719:

Offenses known

Offenses cleared by arrest.
Persons charged

Total

100.0
24.6
19.7

100.0
22.6
19.3

100.0
24.8
21.5

100.0
25.4
22.6

100.0
29.6
27.0

100.0
21.9
15.5

100.0
38.6
38.2

Criminal
homicide

Murder

and
nonneg-
ligent
man-
slaugh-
ter

100.0
93.9

108.8

100.0
91.9
91.1

100.0
95.7
90.7

100.0
90.2
91.4

100.0

89.4
87.2

100.0

91.7

108.0

100.0
81.6
90.4

Man-
slaugh-
ter by
negli-
gence

100.0
89.7
67.0

100.0
86.2
72.1

100.0
79.7
77.6

100.0
96.9
92.5

100.0
86.7
91.6

100.0
82.6
83.1

100.0
93.5
51.3

For-
cible
rape

100.0
69.7

78.5

100.0
71.9

84.8

100.0
77.3
99.8

100.0
79.9
97.6

100.0
83.6
105.1

100.0
67.2
57.9

100.0

89.2
85.4

Rob-
bery

100.0
38.5
42.1

100.0
37.2

45.8

100.0
39.7
56.6

100.0
45.6
62.0

100.0
47.1
64.2

100.0
39.8
46.7

100.0
59.7

88.5

Aggra-
vated
assault

100.0
74.6
60.1

100.0
77.9
72.1

100.0
85.7
87.6

100.0

85.8

100.0
91.3
99.3

100.0
77.0
39.7

100.0
90.0
93.6

Bur-
glary—
break-
ing or
enter-
ing

100.0
29.3
21.1

100.0
25.9
20.3

100.0
28.8
24.5

100.0
30.7
27.0

100.0
35.4
32.8

100.0
24.8
17.7

100.0
38.3
37.7

Lar-
ceny-
theft

100.0
18.7
15.2

100.0
17.7
14.7

100.0
20.5
16.9

100.0
20.2
17.0

100.0
24.1
20.5

100.0
15.2
9.5

100.0
30.7
29.4

Counties in Standard Metropolitan Statistical Areas as defined by the Bureau of the Budget.

84

Table 9. — Offenses Known, Cleared by Arrest, and Persons Charged {Held
for Prosecution), 1961, by Geographic Divisions. Number per 100 Known
Offenses

Geographic division

TOTAL ALL DIVISIONS

2,313 cities; total population
75,642,090:

Offenses known. _

Offenses cleared by ar-
rest -.

Persons charged

NEW ENGLAND STATES

200 cities; total population
5,S66,489:

Offenses known

Offenses cleared by arrest.
Persons charged

MIDDLE ATLANTIC STATES

605 cities; total population
20,195,173:

Offenses known

Offenses cleared by arrest.
Persons charged

EAST NORTH CENTRAL

STATES

539 cities; total population
15,635,588:

Offenses known

Offenses cleared by arrest.
Persons charged

WEST NORTH CENTRAL

STATES

259 cities; total population
6,314,197:

Offenses known

Offenses cleared by arrest.
Persons charged

SOUTH ATLANTIC STATES

207 cities; total population
7,685,373:

Offenses known

Offenses cleared by arrest.
Persons charged

EAST SOUTH CENTRAL
STATES

75 cities; total population
2,292,542:

Offenses known

Offenses cleared by arrest.
Persons charged

WEST SOUTH CENTRAL
STATES

130 cities; total population
5,997,299:

Offenses known

Offenses cleared by arrest.
Persons charged..

Total

100.0

26.7
20.8

100.0
26.1
19.9

100.0
26.5
21.9

100.0
27.1
17.3

100.0
27.7
18.3

100.0
30.0
30.5

100.0
28.4
27.9

100.0
30.6
19.8

Criminal
homicide

Murder

and
non-
neg-
ligent
man-
slaugh-
ter

100.0

93.1

95.9

100.0
98.8
84.1

100.0
91.6

108.8

100.0
93.8
S9.3

100.0
87.3
64.1

100.0
95.4
102.4

100.0
96.4
93.2

100.0
95.6
94.8

Man-
slaugh-
ter by
negli-
gence

100.0

100.0
89.1

75.4

100.0
89.8
96.2

100.0

87.4
65.0

100.0
91.7
32.4

100.0
92.4
97.1

100.0
84.8
64.3

100.0
92.5
49.8

Forci-
ble
rape

100.0

72.6

78.4

100.0

85.3
97.4

100.0
76.6
95.3

100.0
69.0

58.7

100.0
71.6
44.2

100.0
78.3
112.0

100.0
89.2
92.4

100.0
70.9
66.2

Rob-
bery

100.0

41.6

45.8

100.0
47.0
59.9

100.0
39.2
55.8

100.0
40.0
30.2

100.0
41.8
27.4

100.0
46.1
60.8

100.0
46.7
52.4

100.0
48.5
41.5

Aggra-
vated
assault

100.0

78.7
62.1

100.0
85.8
77.3

100.0
73.9
73.0

100.0
84.1
27.6

100.0
76.2
33.7

100.0
83.2

77.8

100.0
79.9
80.0

100.0
81.0
59.0

Bur-
glary—
break-
ing or
enter-
ing

100.0

30.0
21.6

100.0
28.3
22.1

100.0
28.2
20.8

100.0
31.9
19.0

100.0
30.2
19.3

100.0
31.5
29.2

100.0
28.3
24.6

100.0
31.6
19.6

Lar-
ceny
trn-ft

100.0

15.7

100.0
23.1

15.8

100.0
19.5
13.7

100.0
21.0
14.2

100.0
23.3

15.8

100.0
22.0
23.8

100.0
21.5
23.1

100.0
25.2
16.1

85

Table 9. — Offenses Known, Cleared by Arrest, and Persons Charged (Held
for Prosecution), 1961, by Geographic Divisions. Number per 100 Known
Offenses — Continued

Total

Criminal
homicide

Forci-
ble
rape

Rob-
bery

Aggra-
vated
assault

Bur-
glary—
break-
ing or
enter-
ing

Lar-
ceny-
theft

Geographic division

Murder
and
non-
neg-
ligent
man-
slaugh-
ter

Man-
slaugh-
ter by
negli-
gence

Auto
theft

MOUNTAIN STATES

124 cities; total population

2,847,748:
Offenses known ._ ....

100.0
25.3
19.8

100.0
21.8
18.0

100.0
92.7
86.2

100.0
86.4
91.7

100.0
73.6
40.6

100.0
74.0
53.8

100.0
72.7
75.0

100.0
59.4
63.7

100.0
47.6

47.8

100.0
38.5

47.8

100.0
68.4
63.0

100.0
72.3

57. 5

100.0
33.1
24.6

100.0
28.4
20.9

100.0
21.0
16.0

100.0
17.0
13.2

100.0

Offenses cleared by arrest.

27.7
23.5

PACIFIC STATES

274 cities; total population
8,807,681:
Offenses known

100.0

Offenses cleared by arrest-
Persons charged

24.8

27.7

Table 10.— Disposition of Persons Formally Charged by the Police

[1,279 cities; total population 31,538,019]

Percent of persons charged

Offense

Charged
(held for
prosecu-
tion)

Guilty

Acquitted

or
dismissed

Referred

to juvenile

court

TOTAL (less traffic)

i 100. 0

68.7

12.2

10.2

Criminal homicide:

(a) Murder and nonnegligent manslaughter

(b) Manslaughter by negligence... .

100.0
100.0

100.0
100.0
100.0
100.0

100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0

100.0
100.0
100.0
100.0

100.0
100. 0
100.0
100.0

100.0
100.0

100.0

50.7
37.8

43.9
45.3
43.4
36.7

45.3
27.4
53.8
62.3
48.9

61. 5
64.3
62.0

55. 8
63.4
50.6
69. 6

83.2

62. 6
S4.0
81.3

77.6

56. 0

82.8

18.7
34.5

23.4
16.2
33.3

8.1

11.0
7.8
32.2
22.2
17.7
13.4
22.4
13.0

22.0
16.4
27.5
10.0

9.2
15.4

7.6
11.9

15.6
14.4

9.1

3.5
4.2

Forcible rape . . ...

14.2

Robbery ... ... . .... ..

20.9

Aggravated assault . .

8. 1

Burglary — breaking or entering

44.0

Larceny — theft. . ... .. -..

37.3

Autotheft.

54.2

Other assaults .

6.3

Embezzlement and fraud .

2. 1

Stolen property; buying, receiving, etc

22. 1

Forgery and counterfeiting -.

Prostitution and commercialized vice

5.6
1.0

Other sex offenses (includes statutory rape)

14.9

Narcotic drug laws .. - .

5.3

Weapons; carrying, possessing, etc. ...

11.4

Offenses against family and children __

13.1

Liquor laws. ...

14.3

Driving while intoxicated .. .

.4

Disorderly conduct ..

7.9

Drunkenness .. .

.6

Vagrancy . ... .

3.8

Gambling ..

.9

All other offenses

19.9

Traffic and motor vehicle laws

.4

Will not add to 100.0 percent due to pending cases.

86

Table 11. — Offenses Known, Cleared; Persons Arrested, Charged and Disposed

of in 1961

[1,439 cities; total population 35,999,705]

Type

Offenses known...

Offenses cleared ...

Percent cleared.

ARRESTS

Total persons charged.
Percent of arrests....

Guilty

Percent of arrests.

Acquitted and dismissed.
Percent of arrests

Referred to juvenile court.
Percent of arrests

Total

Murder

and non-
negligent
man-
slaugh-
ter -

Forcible
rape

Rob-
bery

Aggra-
vated
assault

Bur-
glary—
break-
ing or
enter-
ing

Lar-
ceny-
theft

821, 804

213,658

26.0

1,366
1,287
94.2

2,822
2,122

75.2

18,954
7,975
42.1

24, 816

19, 967

80.5

187, 245

54, 774

29.3

507, 054

105, 359

20.8

194, 175

1,402

2,491

10,222

16, 004

47,098

94,457

180, 939
93.2

1,306
93.2

2,355
94.5

9,233
90.3

15, 156
94.7

44, 361
94.2

86, 789
91.9

73,713
38.0

635
45.3

1,016
40.8

4,034
39.5

6,620
41.4

16, 291
34.6

39, 200
41.5

22,672
11.7

240
17.1

546
21.9

1,533
15.0

4,948
30.9

3,819
8.1

9,825
10.4

67,294
34.7

62
4.4

385
15.5

2,146
21.0

1,481
9.3

19, 457
41.3

32, 016
33.9

Auto
theft

79, 547

22, 174

27.9

22, 501

21, 739

5,917
26.3

11,747
52.2

Pending cases not included.

Table 12.— Monthly Variations, 1961

[Daily average, offenses known to the police in 4,002 cities, total population 104,180,664]

Month

January-December.

January-March

April-June

July-September

October-December .

January..
February.

March

April

May___
June...
July.. _
August-

September.

October

November.

December.

Criminal homicide

Murder
and non-
negligent

man-
slaughter

13.5

13.0
12.6
14.9
13.6

13.3
12.6
13.2
12.3

12.5
13.1
15.5
15.3

13.8

12.8
13.5
14.5

Man-
slaugh-
ter by
negli-
gence

7.9
8.0
7.1
10.3

8.3

7.4
9.0

8.1
6.8
7.1

7.4
9.7
10.9
10.5

Forci-
ble
rape

:.?

25.2
28.0
32.5
28.2

24.9
24.6
26.0
27.9

27.2

28.8
33.6
32.5

31.3
29.9
28.4
26.4

Rob-
bery

217.3

241.8
194.3
204.5
228.6

238.3
257.2
231.5
213.8

187.4
182.0
202.0
202.1

209.7
202.2
227.1
256.4

Aggra-
vated
assault

U

238.8
263.2
307.4
267.0

219.8
248.0
249.6
258.2

258.5
273.1
313.2
301.6

307.4
277.1
257.2
266.5

Bur-
glary-
breaking

or
entering

1,676.4

1,831.6
1, 599. 5
1,618.7
1, 658. 4

1, 802. 1
1,910.8
1, 789. 6
1,670.9

1, 588. 3
1, 539. 6
1,-612. 8
1,641.2

1,601.6
1, 599. 9
1, 665. 3
1,710.4

Larceny-
theft

4,057.6

4, 048. 5
4, 102. 2
4,071.5
4, 008. 5

3, 729. 7
4, 176. 6

4, 251. 5
4, 148. 7

4, 032. 3
4, 128. 0
4, 047. 2
4, 307. 0

3, 853. 2
3, 993. 0

3, 988. 1

4, 043. 7

Auto
theft

740.8

747.8
721.2

728.7
765.4

748. 3
760.4
735.8
755.4

722.8
685.2
707.5
729.0

750.2

772.8
787.2
737.0

ST

Table 13. — Offense Analysis, Trends, 1960-61, and Percent Distribution

[512 cities over 25,000. Total population 60,997,442]

Classification

Number of offenses

1960

1961

Percent
change

Percent
distribu-
tion,
1961 i

Robbery:

TOTAL.

Highway

Commercial house-
Oil station

Chain store

Residence

Bank

Miscellaneous

Burglary— breaking or entering:
TOTAL

Residence (dwelling):

Night, l

Day

Nonresidence (store, office, etc.) :

Night

Day

Larceny— theft (except auto theft, by value) :
TOTAL

$50 and over.

$5 to $50

Under $5

Larceny— theft (by type) :
TOTAL .

Pocket— picking

Purse— snatching

Shoplifting

Thefts from autos (except accessories).

Auto accessories -

Bicycles

All others

22,817
12, 619
2,749
1,305
3, 475
304
3,420

390, 987

95, 2SS
61,028

216, 821
17, 850

930,413

257, 800
540, 998
131,615

930,413

8,374
12, 148
55, 617
174, 221
225, 701
129, 230
325, 122

46, 584

-0.2

100.0

22, 985
12, 140
2,930
1,191
3,520
298
3,520

400,725

+.7
-3.8
+6.6
-8.7
+1.3
-2.0
+2.9

+2.5

96, 951
67, 522

217,365
18, 887

952, 988

+1.7
+10.6

+.3
+5.8

+2.4

260, 734
552, 769
139, 485

952, 988

+1.1
+2.2
+6.0

+2.4

7,850
13,034
61, 530
182, 492
215, 277
133, 324
339, 481

-6.3

+7.3
+ 10.6
+4.7
-4.6
+3.2
+4.4

49.3

26.1

6.3

2.6

7.6
.6
7.6

100. 0

24.2
16.8

54.2
4.7

100.0

27.4
58.0
14.6

100.0

..8
1.4
6.5
19.1
22.6
14.0
35.6

Because of rounding, the sum of the individual classifications may not add to precisely 100.0 percent.

88

Table 14. — Type and Value of Property Stolen and Recovered

[512 cities over 25,000. Total population 60,997, 162]

Type of property

Value of

property

Percent

Stolen

Recovered

recovered

TOTAL

$309, 500, 000

$159, 900, 000

52

36, 300, 000

29, 100, 000

8, 300, 000

13, 900, 000
151, 400, 000
70, 500, 000

3, 300, 000

2, 000, 000

300, 000

1, 400, 000

139, 100, 000

13, 800, 000

9

4

Clothing - --- --

10

92

20

Table 15.— Value of Property Stolen, by Type of Crime, 1961

[512 cities over 25,000. Total population 60,997,462]

Classification

Number of
offenses

Value of
property

stolen

Average

value per

offense

TOTAL

1, 583, 444

$309, 500, 000

$195

46, 584
400, 725
952, 988
183, 147

12, 400, 000
74, 800, 000
70, 700, 000
151, 600, 000

266

187

Larceny— theft

74

828

Table 16.— Burglary by Day of Week, October 1961

[1,941 cities; total population 71,606,734]

Types of structures

Per-
cent 1

Sun.

Mon.

Tues.

Wed.

Thurs.

Fri.

Sat.

Un-
known

TOTAL BURGLARIES- .

100.0

16.5

14.8

12.6

11.0

11.2

13.1

14.4

6.4

Residence (anywhere on premise)

100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0

13.8
19.1
18.0
20.1
18.4
16.3
19.5
17.0

14.4
15.7
15.6
15.2
14.1
14.0
14.6
15.1

13.2
12.5
11.2
10.8
13.2
12.2
12.2
11.8

11.9
11.0
9.1
8.4
10.4
10.3
4.9
11.2

11.9
11.1

9.7
10.1
10.9
11.1

4.9
11.1

13.9
12.3
12.4
12.4
12.4
13.2
29.3
11.8

14.1
14.9
14.8
14.6
15.3
14.1
9.8
14.3

6.8
3.5

9.2

Public building (school, library, etc.)-_

8.3
5.4

8.8

4.9

Other (boxcar, private clubs, etc.)

7.8

Due to rounding may not add to 100.0 percent.

641799°— 62-

89

Table 17. — Murder Victims — Weapons Used, 1961

[789 agencies; total population 79,711,762]

Num-
ber

Per-
cent

Weapons

Age

Gun

Cut-
ting
or
stab-
bing

Blunt
object
(club,
ham-
mer,
etc.)

Personal
weapons
(strangu-
lations

and
beatings)

Poison

Explo-
sives

Other
(drown-
ings,
arson,
etc.)

Un-
known

and

not
stated

TOTAL....

3,008

"uoo"

1,578
52.5

725
24.1

198
6.6

336
11.2

9
0.3

2
0.1

133

4.4

27
0.9

Infant (under 1)_
l-4_

59
80
30
31

178
290
357
379

375
321
273
174

125
102
49
51

54
80

2.0
2.7
1.0
1.0

5.9
9.6
11.9
12.6

12.5
10.7
9.1

5.8

4.2
3.4
1.6
1.7

1.8
2.7

3
15

7
18

104
169
221

189

205
177
150
94

68
45
26
19

14
54

7
2
8
3

50

77

90

110

104
93
61
46

21
18

7
2

8
18

1

S
3
5

6

6

17

24

26
16
22

8

12
11

8
12

12

1

21
32

5

1

10
20

18
39

27
31
34
21

19

22

5

13

13
5

25

21

5

1

8
12

12

12
3
4
3

3
4
3
4

4
2

2

2

5-9.

10-14

15-19

1
1

1
2

20-24

25-29

30-34

3

~ 1

3
3

5

35-39

40-44

1

1

45-49

2

50-54

2

55-59

60-64

65-69

70-74

1

2

1

1

75 and over

1

2

Because of rounding, the sum of the individual classifications may not add to precisely 100.0 percent.

Table 18. — Murder Victims by Age, Sex and Race, 1961

[789 agencies; total population 79,711,762]

Age

Number

Percent

Sex-

E

ace

Male

Female

White

Negro

Indian

Chinese

Japanese

Other

TOTAL- -

3,008

2,176
72.3

832
27.7

1,334
44.3

1,648
54.8

13
0.4

7
0.2

1

5

Percent

i 100.0

0.2

Infant (under 1).

59
80
30
31

178
290
357
379

375
321
273
174

125
102
49
51

54
80

2.0
2.7
1.0
1.0

5.9
9.6
11.9
12.6

12.5
10.7
9.1

5.8

4.2
3.4
1.6

1.7

1.8
2.7

28
42
14

18

131
209
276
262

264
234
210
135

101
83
41
32

30

66

31
38
16
13

47
81
81
117

111
87
63
39

24
19
8
19

24

14

32
48
23
22

90
118
141
138

153
113
120

86

64
60
21
37

41
27

27
31

7
9

88
170
212
236

218

208

151

85

59
40

28
14

13
52

1-4

1

5-9

10-14

15-19

20-24

2
3
3

2

25-29

1
2

1

30-34

35-39

1

40-44

45-49

2
1

50-54

1

1

55-59

2

60-64

2

65-69..

70-74....

75 and over

Unknown

1

1 Because of rounding, the sum of the individual classifications may not add to precisely 100.0 percent.
Tables 17 and 18 based on limited data initiated in July, 1961.

90

Arrest Data

Annual reports prepared by contributing law enforcement agencies
giving certain personal characteristics of persons arrested are pre-
sented in the following tabulations. Arrest rates for all criminal
acts are shown by population group as reported by city and county
enforcement agencies representing 64 percent of the United States
population. Trend information is shown for both city and rural
areas, as well as tabulations by age, sex, and race.

In interpreting arrest information, it should be kept in mind that
the same person may be arrested several times in a year for the same
type or different offenses. Each arrest is counted. The arrest of
one person may clear several crimes and several persons may be
arrested for one crime.

Police arrest practices vary widely, particularly with respect to
juveniles. For the purpose of this program, law enforcement agencies
score an arrest when a person is taken into custody for committing
a specific offense. A juvenile is counted as arrested when he or she
has committed a crime, and the circumstances are such that if the
individual were an adult an arrest would have been made.

Although arrest information is primarily a measure of law enforce-
ment activity, it provides useful information on characteristics of
persons arrested for criminal acts. It is also a gauge of criminality
when used within its limitations, as must be done with all forms of
criminal statistics, including court and penal.

91

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94

Table 21.— City Arrests of Persons Under 18, Under 21, and Under 25 Years of

Age, 1961

[2,776 cities over 2,500, population 85,158,360]

Offense charged

TOTAL

Criminal homicide:

(a) Murder and nonnegligent
manslaughter

(b) Manslaughter by negligence

Forcible rape

Robbery

Aggravated assault

Burglary— breaking or entering

Larceny— theft.

Auto theft

O ther assaults

Embezzlement and fraud

Stolen property; buying, receiving,
etc

Forgery and counterfeiting

Prostitution and commercialized
vice

Other sex offenses (includes statu-
tory rape)

Narcotic drug laws

Weapons; carrying, possessing, etc..
Offenses against family and children-
Liquor laws

Driving while intoxicated

Disorderly conduct

D runkenness

Vagrancy

Gambling

All other offenses

Suspicion

Total

3, 851, 825

4,625
1,618

7,143

33, 175
55,355

126, 477

228, 067
58, 547
141, 784

34, 286

10, 745
21,613

26, 843

46, 204

25, 080
35,985
35,017
99, 048

164, 222

434, 886

1, 399, 293

147, 526

108, 571

125, 616

Number of persons arrested

Under
18

566, 682

384
115

1,363

7,775

7,189

61, 508

113,619

35,714

15, 089

834

2,940
1,422

544

10, 012

1,701

6,860

1,070

18, 700

1,207
55, 627
14, 207
10, 143

1,352
176, 203

21, 104

Under
21

892, 245

871
305

2,949
14, 439
12, 658
81, 479

141, 149

45, 735

27, 699

2,594

4,603
3,814

2,948
14, 847

4,898
11,970

3,567
47, 615

7,719
107, 383
56, 222
25, 469

4,715
222, 199

44,:

Under
25

1, 270, 088

1,511
557

4,381
21, 138
20, 029
96, 783

160, 819

51, 016

47, 504

6,989

5,997
7,488

9,574

21, 003

10, 456
17, 379
8,775
55, 137

23, 824
163, 750
144, 532

40, 307

14, 944
270, 561

65, 634

Percentage

Under
18

14.7

8.3
7.1

19.1

23.4
13.0

48.6

61.0
10.6
2.4

27.4
6.6

2.0

21.7

19.1
3.1
18.9

12.8
1.0

1.2

36.7

16.8

Under
21

23.;

18.8
18.9

41.3

43.5
22.9
64.4

61.9

78.1

19.5

7.6

42.8
17.6

11.0

32.1

19.5
33.3
10.2
48.1

4.7
24.7

4.0
17.3

4.3
46.3

35.3

Under

25

33.0

32.7
34.4

61.3
63.7
36.2
76.5

70.5

87.1
33.5
20.4

55.8
34.6

35.7

45.5

41.7
48.3
25.1

55.7

14.5
37.7
10.3
27.3

13.8

56.4

52.2

95

Table 22. — City Arrests, Distribution by Sex, 1961

[2,776 cities over 2,500, population 85,158,360]

Offense charged

TOTAL

Criminal homicide:

(a) Murder and nonnegligent man-

slaughter

(b) Manslaughter by negligence

Forcible rape

Robbery

Aggravated assault

Burglary— breaking or entering

Larceny— theft

Auto theft

Other assaults _.

Embezzlement and fraud

Stolen property; buying, receiving, etc..

Forgery and counterfeiting

Prostitution and commercialized vice...

Other sex offenses (includes statutory

rape)

Narcotic drug laws

Weapons; carrying, possessing, etc

Offenses against family and children

Liquor laws

Driving while intoxicated

Disorderly conduct

Drunkenness

Vagrancy

Gambling

All other offenses

Suspicion

Number

Total

3,851,825

4,625
1,618

7,143
S3, 175
55,355
126, 477

228, 067

58, 547

141, 784

34, 286

10, 745
21,613
26, 843

46, 204

25, 080
35,985

35, 017
99, 048

164, 222

434, 886

, 399, 293

147, 526

108, 571
480, 099

125,616

Male Female

3,417,863

3,791

1,458

7,143
31, 563
46, 951
122, 400

186, 999
56, 409

126,817
28, 548

17,821
7,563

37, 652

21, 227
33, 746
31,099
84, 790

153, 462

373, 760

1, 286, 309

134, 569

99, 529
403, 757

110, 692

433, 962

834
160

1,612
8,404
4,077

41,068
2,138

14, 967
5,738

937
3,792
19, 280

8, 552

3,853
2,239
3,918
14, 258

10, 760

61, 126

112,984

12, 957

9,042
76, 342

14, 924

Percent

Total

J 100. 0

(2)

.1

.9
1.4
3.3

1.2

.7

.9

.9

2.6

4.3
11.3
36.3

3.8

2.8
12.5

3.3

Male Female

100.0

0

.2

.9

1.4

3.6

5.5
1.7
3.7

.3
.5
.2

1.1

1.0

.9

2.5

4.5
10.9
37.6

3.9

2.9
11.8

3.2

i 100. 0

w

.2

9.5

.5

3.4

1.3

.2
.9

4.4

2.0

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.9

3.3

2.5
14.1
26.0

3.0

2.1

3.4

1 Because of rounding, the sum of the individual classifications may not add to precisely 100.0 percent.

2 Less than Ho of 1 percent.

96

Table 23.— City Arrests by Race, 1961

[2,759 cities over 2,500, population 75,553,307]

Offense charged

TOTAL

Criminal homicide:

(a) Murder and nonnegligent

manslaughter

(b) Manslaughter by negligence

Forcible rape

Robbery

Aggravated assault

Burglary— breaking or entering

Larceny— theft

Auto theft

Other assaults

Embezzlement and fraud

Stolen property; buying, receiving,
etc

Forgery and counterfeiting

Prostitution and commercialized
vice

Other sex offenses (includes statu-
tory rape)

Narcotic drug laws.

Weapons; carrying, possessing, etc..
Offenses against family and children
Liquor laws.

Driving while intoxicated

Disorderly conduct

Drunkenness

Vagrancy

Gambling

All other offenses

Suspicion...

Total

608, 317

3,694
1,555

6,068
26, 333
42, 157
114,012

212, 703
52, 005

132, 990
31,445

8,900
20, 106

41, 572

18, 419

32, 942

33, 906
94, 471

161, 126

376, 280

1, 390, 976

142, 683

75,385
442, 567

125, 557

Race

White

2, 424, 631

1,493
1,203

2,922

11,858
16, 184
75, 266

142, 487
39, 521
74, 822
25, 737

5,810

16, 356

10, 597
29, 680

11, 371

14, 908
22, 501
64, 691

133, 491

226, 386

995, 331

98, 710

17, 630
307, 620

056

Negro

073, 491

2,154
321

3,075
14, 143
25, 550
36, 696

66, 057

11,023

56, 069

5,439

2,960
3,534

9,573

11, 006

6,742
17, 598
11,094
27, 550

25, 152
144, 129
328, 741

38, 813

53, 155
126, 583

46, 334

Indian

79, 716

18
186
201
632

1,521
619
725
117

39
121

85

228

78

150

141

1,514

1,876
3,393
59, 740
3,766

21
3,697

s.'l

Chinese

1,725

4

1

4
14

14
48

129

38

389
59

391
179

Jap i-
nese

All
others

(in-
cludes

race un-
known)

2

4

5

11

19

128

317

148
82
21

57

53

39

24

10

109

116
109
593

728
608

19

25, 326

23

17

44

121

189

1,242

2,192
656

1,224
114

75
66

121

565

120
233
149

577

473
2,194
6,182
1,137

3,460
3,880

272

97

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ST3P°

« Sot? s 9

£c385S

en o

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100

Table 27. — Rural Arrests of Persons Under 18, Under 21, and Under 25 Years

of Age, 1961

[1,061 county agencies, population 30,253,937]

Offense charged

TOTAL

Criminal homicide:

(a) Murder and nonnegligent man-

slaughter

(b) Manslaughter by negligence

Forcible rape

Robbery

Aggravated assault

Burglary— breaking or entering

Larceny— theft

Auto theft

Other assaults

Embezzlement and fraud

Stolen property; buying, receiving, etc

Forgery and counterfeiting

Prostitution and commercialized vice

Other sex offenses (includes statutory rape)

Narcotic drug laws

Weapons; carrying, possessing, etc

Offenses against family and children

Liquor laws.- -

Driving while intoxicated

Disorderly conduct

Drunkenness

Vagrancy

Gambling

All other offenses

Suspicion

Total

499, 115

1,222
838

2,013
4,115
9,300

32, 456

37, 637
10, 646
22, 609
12, 677

2,357

7,905

686

6,840

4,042
4,260
19, 189
22, 904

40, 796

33, 185
105, 378

9,829

4,643
93, 090

10, 498

Number of persons
arrested

Under

18

73, 052

73

48

231

588

850

13, 306

12, 763

5, 450

1,248

139

501

410

29

1,180

181

4,225

314
3, 530
2,424

534

21, 132
2,842

Under

21

138, 453

192
156

740
1, 545
2,032

20, 581

20, 738

7,545

3,733

803

983

1,352

73

2,145

883

1,402

1,413

13, 079

2,114

8, 858
8,675
1,667

275
32, 645

4,824

Under

25

385

357
315

1,196

2,518
3,475
25, 312

25, 680
8,729
7,115
2,533

1,313

2,762

209

3,314

1,926

2,148
4,422
15, 380

6,322

14, 285
19, 241
2,801

709
44, 977

6, 346

Percentage

Under
18

14.6

6.0

5.7

11.5

14.3

9.1

41.0

33.9
51.2

5.5
1.1

21.3
5.2
4.2

17.3

4.5
16.4

1.5
18.4

10.6
2.3
5.4

1.4
22.7

27.1

Under
21

15.7
18.6

36.8
37.5
21.8
63.4

55.1

70.9

16.5

6.3

41.7
17.1
10.6
31.4

21.8

32.9

7.4

57.1

5.2
26.7

8.2
17.0

5.9
35.1

Under

25

40.7

29. 2
37. 6

59.4
61.2
37.4
78. 0

68.2
82.0
31.5
20.0

55.7
34.9
30.5
48. 5

47.6
50.4
23.0
67.1

15.5
43.0
18.3

28.5

15.3
48.3

60.4

101

Table 28. — Rural Arrests, Distribution by Sex, 1961

[1,061 county agencies, population 30,253,937]

Offense charged

TOTAL.

Criminal homicide:

(a) Murder and nonnegligent man-

slaughter

(b) Manslaughter by negligence

Forcible rape

Robbery

Aggravated assault

Burglary— breaking or entering.

Larceny— theft

Auto theft

Other assaults

Embezzlement and fraud.

Stolen property; buying, receiving, etc.

Forgery and counterfeiting

Prostitution and commercialized vice

Other sex offenses (includes statutory
rape)

Narcotic drug laws

Weapons; carrying, possessing, etc —
Offenses against family and children.
Liquor laws

Driving while intoxicated.

Disorderly conduct

Drunkenness

Vagrancy

Gambling

All other offenses-
Suspicion

Total

499, 115

1.222
838

2,013

4,115

9.300

32, 456

37, 637
10, 646
22, 609
12, 677

2,357

7,905

686

6,840

4,042

4,260

19, 189

22, 904

40, 796

33, 185

105,378

9,829

4,643
93, 090

10, 498

Number

Male

457, 382

1,054
771

2,013

3,914

8,446

31, 505

34, 268
10, 228
21, 004
10, 949

2,225

6,988

216

6,174

3,502

4,083

18, 140

20, 532

38, 950
29, 688
97, 194

8,857

4,272
82, 769

9,640

Female

41, 733

168

67

201

854
951

3,369

418

1,605

1,728

132
917
470

666

540

177

1,049

2,372

1,846

3,497

8,184

972

371
10, 321

858

Percent

Total

i 100. 0

1.9

6.5

7.5
2.1
4.5
2.5

.5

1.6

.1

.8

.9

3.8

4.6

8.2
6.6
21.1
2.0

.9

18.7

Male

100.0

m

1.8
6.9

7.5
2.2
4.6
2.4

.5
1.5

1.3

4.0

4.5

8.5

6.5

21.3

1.9

18.1
2.1

Female

i 100.0

.5
2.0
2.3

8.1
1.0
3.8
4.1

.3
2.2

1.1

1.3

.4

2.5

5.7

4.4
8.4
19.6
2.3

.9
24.7

2.1

i Because of rounding, the sum of the individual classifications may not add to precisely 100.0 percent.
2 Less than Ho of 1 percent.

102

Table 29.— Rural Arrests by Race, 1961

[1,048 county agencies, population 29,017,535]

Offense charged

TOTAL

Criminal homicide:

(a) Murder and nonnegligent man-

slaughter

(b) Manslaughter by negligence

Forcible rape

Robbery

Aggravated assault

Burglary— breaking or entering

Larceny— theft

Auto theft_-

Other assaults

Embezzlement and fraud

Stolen property; buying, receiving, etc_.
Forgery and counterfeiting

Prostitution and commercialized vice

Other sex offenses (includes statutory rape)

Narcotic drug laws

Weapons; carrying, possessing, etc

Offenses against family and children

Liquor laws

Driving while intoxicated

Disorderly conduct

Drunkenness

Vagrancy

Gambling

All other offenses

Suspicion

Total

467, 697

1,143

777

1,828

3,927

8,768

29,841

34, 542

9,732

21,405

12, 152

2,112

7,096

653

6,529

3,677
3.771
18, 630
18, 027

38, 876

31,826

101, 682

9,672

4,461
86, 115

10, 455

Race

\\ bite

382, 735

672
658

1,401

2,814

5,768

25, 422

28, 681
8,448
16, 738
11,031

1,768

6,244

449

5,497

3,096
2,627
14, 865
14, 193

34, 350
24, 153

82, 333
8,115

2,121
72, 789

8,502

Negro

67, 458

447
108

374
1,008
2,814
3,702

5,033

872
4,179

287
660
190
856

539
1,099
3,429
3, 258

3,208

6,360

12, 140

1,262

2,101

10, 884

Indian

14, 186

20
6

37

73

144

497

595
344
350
124

42

173

10

70

4

31

298

479

1,145
1,120
6,804

9
1,383

219

Chinese

Japa-
nese

All others
(includes

race un-
known)

201

3,037

4
4

14

32

36

205

207
60

129
38

10

19

3

98

34
14
36
92

162

176

384

77

191

43

103

Table 30.— Rural Arrest Trends, 1960-61

[643 counties, population 20,512,305]

Offense charged

TOTAL-

Criminal homicide:

(a) Murder and
nonnegligent
manslaughter..

(b) Manslaughter
by negligence..

Forcible rape

Eobbery

Aggravated assault

Burglary— breaking or
entering

L ar cen y— theft

Auto theft

Other assaults

Embezzlement and
fraud

Stolen property; buying,
receiving, etc

Forgery and counter-
feiting.

Prostitution and com-
mercialized vice

Other sex offenses (in-
cludes statutory rape).

Narcotic drug laws

Weapons; carrying,

possessing, etc

Offenses against family

and children

Liquor laws

Driving while intoxi-
cated

Disorderly conduct. .

Drunkenness

Vagrancy

Gambling

All other offenses-

Suspicion (not included
in totals)

Number of persons arrested

Total all ages

1960

562

1,089
2,574
5,824

19, 888

20, 892
6,664
14, 996

7,203

1,244

4,129

460

4,394

4,143

2,462

12, 481
11,086

23, 927

19, 921

63,380

5,342

2,897
57, 743

1961

297, 948

635

558

1,139
2,436
5,609

19, 933

22, 944
6,691
14, 956

8,189

1,163

4,088

415

4,285

3,179

2,446

12, 669
11, 528

23, 444
21, 098
63, 031

5,184

2,846
59, 482

7,519

Percent
change

+1.4

-2.9

-.7

+4.6
-5.4
-3.7

+.2

+9.8
+.4
-.3

+13.7

-6.5
-1.0

-2.5
-23.3

+1.5
+4.0

-2.0
+5.9

-3.0

-1.8
+3.0

2. 1

Under 18 years of age

1960

41, 858

40

32

109
332

517

8,085

7,100

3,491

814

116

298

234

11

658

241

495

163
2,231

194
1,892
1,500

325

30
12, 950

2. 622

1961

42, 920

53

27

144
340
523

8,126

7,958

3,563

773

94

228

234

18

647

153

460

171
2,267

201

2, 165

1,538

284

45
12, 908

2,327

Percent
change

+2.5

+32.5
-15.6

+32.1

+2.4
+1.2

+.5

+12.1

+2.1
-5.0

-19.0

-23.5

+63.6
-1.7

-36.5

-7.1

+4.9
+1.6

+3.6
+14.4

+2.5
-12.6

+50.0

18 years of age and over

1960

252. 097

614
530

2,242
5,307

11, 803

13, 792
3,173
14, 182

7,087

3,895

449

3,736

3,902

1,967

12, 318
8,855

23, 733

18, 029

61, 880

5,017

2,867
44, 793

5,061

1961

255, 028

582

531

995
2,096
5,086

11, 807

14, 986
3,128
14, 183

8,095

935
3,854

397

3,638

3,026

1,986

12,498
9,261

23, 243

18, 933

61, 493

4,900

2,801
46, 574

Percent
change

+1.

-5.2

+.2

+1.5
-6.5
-4.2

0)

+8.7
-1.4
(')

+14.2

-1.2

-1.1
-11.6

-2.6
-22.5

+1.0

+ 1.5
+4.6

-2.1

+5.0

-.6

-2.3

-2.3

+4.0

+2.6

1 Less than Ho of 1 percent increase.

104

Table 31.— Rural Arrest Trends by Sex, 1960-61

[643 counties, population 20,512,305]

Offense charged

TOTAL

Criminal homicide:

(a) Murder and nonnegligent man-
slaughter

(b) Manslaughter by negligence

Forcible rape

Robbery

Aggravated assault

Burglary— breaking or entering.

Larceny— theft

Auto theft

Other assaults

Embezzlement and fraud

Stolen property; buying, receiving, etc

Forgery and counterfeiting

Prostitution and commercialized vice

Other sex offenses (includes statutory
rape)

Narcotic drug laws

Weapons; carrying, possessing, etc.
Offenses against family and children.
Liquor laws

Driving while intoxicated.

Disorderly conduct

Drunkenness

Vagrancy

6-ambling

All other offenses.

Suspicion (not included in totals).

I960

269, 926

560

520

1,089
2, 449
5,269
19,200

19, 055
6,402

13, 922
6,260
1,162
3, 576
128

4,055

3,634
2,337
11, 922
9,993

22, 983
17, 939

58, 642
4,904

2,640
51, 285

7,153

Males

273, 001

549
512

1,139
2, 304

5, 095
19, 320

20, 844

6, 446
13, 894

7, 095

1,089

3,608

137

3,930

2, 723
2,334
11,973
10, 381

22, 437
18, 954

58, 270
4, 625

2,615
52, 727

Percent
change

+ 1.1

-2.0
-1.5

+4.6
-5.9
-3.3

+.6

+9. 4

+.7

-.2

+ 13.3

-6.3
+.9

+7.0

-3.1

-25. 1

-.1

+.4

+3.9

-2.4

+5.7

-.6

-5.7

-.9

+2.8

-3.5

Females

I960

24, 029

125

555
688

1,837
262

1,074

943

82

553

332

339

509

125

559

1,093

944
1,982
4,738

438

257
6,458

530

24, 947

132

514
613

2,100

245

1,062

1,094

74

480

278

355

456

112

696

1,147

1,007

2,144

4,761

559

231
6,755

617

Percent
change

+3.8

-8.5

+9. 5

+5. 6
-7.4

-10.9

+ 14.3
-6. 5
-1.1

+ 16.0
-9.8

-13.2

-16.3

+4.7

-10.4

-10.4

+24. 5

+4.9

+6.7
+8.2

+.5
+27. 6

-10.1
+4.6

+16.4

1 Males under 18 years of age increased 2.5 percent; females under 18 years of age increased 3.1 percent.

641799°— 62-

105

Table 32. — Police Disposition of Juvenile Offenders Taken Into Custody, 1961

Population group

Total i

Handled
within
depart-
ment
and
released

Referred

to
juvenile

court
jurisdic-
tion

Referred

to
welfare
agency

Referred

to

other

police

agency

Referred

to

criminal

or adult

court

TOTAL: 1,863 agencies; total population
60,390,239:

391. 206
2 100. 0

176. 594
45.1

190, 877
48.8

7,586
1.9

11,688
3.0

4,461
1. 1

Percent - __ _

TOTAL CITIES: 1,498 cities; total popula-
tion 50,371,972:

360. 946
100.0

163, 460
45.3

176, 559
48.9

7,113
2.0

10, 505
2.9

3,309

Percent .

.9

GROUP I

28 cities over 250,000; population 22,495,569:

141.957
100.0

40. 907
100.0

43. 308
100.0

53, 353
100.0

50. 025
100.0

31,396
100.0

51,447
36.2

18, 158
44.4

21, 697
50.1

28, 779
53.9

27, 196
54.4

16, 183
51.5

84, 887
59.8

21,547
52.7

17,641
40.7

20, 817
39.0

19, 474
38.9

12, 193

38.8

2.563
1.8

548
1.3

1,227
2.8

1,366
2.6

872
1.7

537
1.7

2.900
2.0

471
1.2

2,434
5.6

1,578
3.0

1,818
3.6

1,304

4.2

160

.1

GROUP II

33 cities, 100,000 to 250,000; population
4,842,394:

183

Percent.

.4

group in

86 cities, 50,000 to 100,000; population
5,932,516:
Number

309

.7

GROUP IV

187 cities, 25,000 to 50,000; population
6,432,126:
Number

813

Percent.. ._

1.5

GROUP V

423 cities, 10,000 to 25,000; population
6,597,379:
Number

665

Percent, .

1.3

GROUP VI

741 cities under 10,000; population 4,071,-
988:
Number . ..

1.179

Percent .- ...

3.8

365 county agencies; population 10,018,267:
Number .

30. 260
100.0

13, 134
43.4

14, 318
47.3

473
1.6

1,183
3.9

1.152

Percent

3.8

1 Traffic and neglect cases not included.

2 Because of rounding, the percentages may not add to precisely 100.0 percent.

106

Police Employee Data

This section presents selected tables based on national averages.
Figures relating to police employee rates must not be considered as
recommended or desirable police strength inasmuch as numerous
factors must be considered in arriving at such a determination. Rate
ranges shown are merely to provide supplemental information for
those desiring to use these figures to make limited comparisons.

107

Table 33. — Full-time Police Department Employees, December 31, 1961,
Number and Rate per 1,000 Inhabitants, by Geographic Divisions and
Population Groups

TOTAL

Population group

(3,430

Group I

Group II

Group III

Group IV

Group V

Group VI

Geographic division

cities ;
population

(51 cities

(75 cities,

(170 cities,

(336 cities,

(863 cities,

(1,935 cities

97,211,848)

over

100,000 to

50,000 to

25,000 to

10,000 to

under

250,000;

250,000;

100,000;

50,000;

25,000;

10,000;

population

population

population

population

population

population

39,355,156)

10,766,524)

11,673,093)

11,612,084)

13,477,602)

10,327,389)

TOTAL: 3,430 cities;

population 97,211,848:

Number of police

employees

189,093

101, 565

18, 187

18, 448

16,918

19, 059

14,916

Average number of

employees per

1,000 inhabitants, _

1.9

2.6

1.7

1.6

1.5

1.4

1.4

Rate Range

0. 2-10. 1

1. 1-4. 3

1. 0-2. 7

0. 5-4. 4

0. 3-3. 4

0. 3-4. 7

0. 2-10. 1

New England: 273

cities ; population

6,906,488:

Number of police

employees

13, 858

2,970

2,875

2,769

2,423

1,908

913

Average number of

employees per

1,000 inhabitants-

2.0

4.3

2.4

1.9

1.6

1.4

1.3

Rate range

0. 3-4. 3

0)

2. 1-2. 7

1. 3-2. 8

1. 0-2. 7

0. 6-2. 4

0. 3-4. 0

Middle Atlantic: 707

cities ; population

22,608,811:

Number of police

employees

54, 829

37, 535

3,061

3,545

3,082

4,504

3,102

Average number of

employees per

1,000 inhabitants-

2.4

3.1

1.9

1.7

1.6

1.5

1.4

Rate range

0. 2-5. 3

1. 8-3. 6

1. 4-2. 5

0. 6-3. 8

0. 6-3. 3

0. 5-4. 7

0. 2-5. 3

East North Central : 779

cities ; population

21,905,860:

Number of police

employees

41,662

24,520

2,757

3,679

3,688

3,883

3,135

Average number of

employees per

1,000 inhabitants-

1.9

2.7

1.5

1.3

1.3

1.3

1.3

Rate range

0. 3-4. 8

1. 1-3. 3

1. 1-1. 8

0. 5-2. 4

0. 4-3. 2

0. 5-3. 3

0. 3-4. 8

West North Central : 390

cities ; population

7,472,031:

Number of police

employees

11,353

5,475

748

814

1,068

1,673

1,575

Average number of

employees per

1,000 inhabitants-

1.5

2.1

1.3

1.2

1.1

1.2

1.2

Rate range

0. 3-3. 9

1. 3-3. 2

1. 1-1. 8

0. 7-1. 4

0. 3-1. 8

0. 3-2. 3

0. 3-3. 9

South Atlantic: 353

cities ; population

9,914,182:

Number of police

employees

21,038

9,084

2,953

3,057

1,860

2,057

2,027

Average number of

employees per

1,000 inhabitants-

2.1

3.0

1.6

1.9

1.7

1.7

1.8

Rate range

0. 2-10. 1

1. 5-3. 9

1. 2-2. 5

1. 0-4. 4

0. 8-3. 2

0. 7-2. 8

0. 2-10. 1

East South Central: 149

cities ; population

3.755,709:

Number of police

employees

5,692

2.277

946

416

791

564

698

Average number of

employees per

1,000 inhabitants.

1.5

1.5

1.6

1.6

1.4

1.4

1.4

Rate range

0. 4-2. 8

1. 5-1. 6

1. 4-2. 0

1. 4-2. 1

0. 9-2. 0

0. 9-1. 9

0. 4-2. 8

Only 1 city this size in geographic division.

108

Table 33. — Full-time Police Department Employees, December 31, 1961,
Number and Rate per 1,000 Inhabitants, by Geographic Divisions and
Popula tion Groups — Continued

TOTAL

Population group

(3,430

cities ;

population

Group I

Group II

Group III

Group IV

Group V

Group VI

(51 cities

(75 cities,

(170 cities,

(336 cities,

(863 cities,

(1.935 cities

97,211,848)

over

100,000 to

50,000 to

25,000 to

10,000 to

under

250,000;

250,000;

100,000;

50,000;

25,000;

10,000;

population

population

population

population

population

population

39,355,156)

10,766,524)

11,673,093)

11,612,084)

13,477,602)

10,327,389)

West South Central : 258

cities ; population

8,290,967:

Number of police

employees

11,493

5,756

1,612

1,057

846

1,303

919

Average number of

employees per

1,000 inhabitants.

1.4

1.5

1.5

1.2

1.2

1.2

1.2

Rate range

0. 2-2. 7

1.1-1.8

1.0-1.8

0. 7-1. 5

0. 7-1. 5

0. 4-2. 2

0. 2-2. 7

Mountain: 168 cities;

population 3,646,605:

Number of police

employees

5,881

1,466

874

744

703

741

853

Average number of

employees per

1,000 inhabitants-

1.5

1.6

1.4

1.6

1.3

1.4

1.5

Rate range

0. 4-3. 5

1.4-1.8

1.3-1.6

0. 9-2. 7

0. 9-2. 1

0. 4-3. 2

0. 4-3. 5

Pacific: 353 cities; pop-

ulation 12,711,195:

Number of police

employees

23, 787

12, 482

2,361

2,367

2,457

2,426

1,694

Average number of

employees per

1,000 inhabitants-

1.9

2.2

1.6

1.6

1.5

1.6

1.8

Rate range

0.4-4.7

1. 4-2. 5

1. 2-2. 1

1.0-2.9

1. 0-3. 4

0. 6-4. 1

0. 4-4. 7

County police: 20 agen-

cies ; population

4,823,583:

Number of police

employees

5,899

Average number of

employees per

1,000 inhabitants-

1.2
0. 2-2. 9

Rate range

Table 34. — Civilian Police Department Employees, 1961 Percentage of Total

by Population Group

[3,430 cities over 2,500, population 97,211,848]

Population group

Percentage

civilian
employees

Total, all cities .

9 7

Group I (over 250,000)

10.3

(Over 1,000,000)

8 7

(750,000-1 ,000,000)

12.5

(500,000-750,000)

9. 1

(250,000-500,000)

14 6

Group II (100,000-250,000)

11.5

Group III (50,000-100,000)

9.6

Group IV (25,000-50,000)

8.1

Group V (10,000-25,000)

6.5

Group VI (2,500-10,000)

9.0

20 county police agencies

8.9

109

Table 35. — Number of Police Department Employees Killed, 1961,
Geographic Divisions and Population Groups

[3,430 cities, population 97,211,848]

by

TOTAL

Population group

Geographic division

Group I

Group II

Group III

Group IV

Group V

Group VI

County
and

Over
250,000

100,000 to
250,000

50,000 to
100,000

25,000 to
50,000

10,000 to
25,000

Under
10,000

State
police

TOTAL.

71

18

10

8

3

8

5

19

New England...

11
12
6

12
3
8
3

16

5
3
2

4

2
1

1

1
1

3

East North Central .

2

2

1

1

3

1
2

1

South Atlantic

4
2

1

1

East South Central...

1

W est South Central. _

2

2

2

1

3

Pacific-

2

3

1

3

1

6

Table 36. — Assaults on Police Officers, 1961, by Geographic Divisions and

Population Groups

[3,389 cities, population 90,032,892]

Geographic division

Assaults

Rate per
100 police
officers

Population group

Assaults

Rate per
100 police
officers

TOTAL

13, 190

8.3

TOTAL ..

13. 190

8.3

Group I
(Over 250,000)..

New England __.

595
4.757
1,425

786

2,549
570
555
381

1,572

4.7
9.2
4.4
8.1

14.1

13.5

7.3

8.8

8.5

7,381
1,155
1,241
939
1,405
1,069

Middle Atlantic.

8.9

East North Central

Group II

(100,000 to 250,000)

W est North Central

8.0

South Atlantic _ .

Group III

(50,000 to 100,000)

8.2

East South Central .

Group IV

(25,000 to 50,000)

West South Central

6.2

Mountain. _

Group V
(10,000 to 25,000)

Pacific

7.9

Group VI
(Under 10,000)

7.9

Table 37. — Full-time State Police Employees, December 31, 1961. and State

Police Killed 1961

State police

TOTAL

Police
officers

Civilian

Police
killed

Alaska

115
670
219
288

1,405

1.129

983

329

84
462
174
240

1,112
906
710
262

31

208
45

48

293
223
273

67

Connecticut _.

Delaware .

Maine

Michigan

New Jersey...

1

Virginia ..

West Virginia.

110

Table 38. — Number of Full-tune Police Department Employees, December 31,
1961, Cities Over 25,000 in Population

City

ALABAMA

Anniston

Bessemer

Birmingham

Decatur

Dothan

Florence

Gadsden

Huntsville

Mobile

Montgomery

Phenix City

Selma

Tuscaloosa

ALASKA

Anchorage..

ARIZONA

Mesa

Phoenix

Tucson

ARKANSAS

El Dorado

Fort Smith

Hot Springs

Little Rock

North Little Rock

CALIFORNIA

Alhambra

Anaheim

Arcadia

Bakersfield

Baldwin Park

Berkeley

Beverly Hills

Buena Park

Burbank

Chula Vista

Compton

Concord

Costa Mesa

Culver City--

Daly City

Downey

El Cajon

El CerritO— .

Eureka

Fremont

Fresno ..

Fullerton

Gardena

Garden Grove

Glendale___

Hawthorne

Hayward

Huntington Park.

Inglewood

La Habra

La Mesa

Long Beach

Los Angeles

Lynwood

Manhattan Beach

Menlo Park

Modesto

Montebello

Monterey Park...
Mountain View...

Number of police d€

employees

TOTAL

Police

officers

55

49

51

51

504

435

39

35

48

47

45
96

45
91

102
279

102
216

195

181

26

25

40

81

40

78

60

54

37

34

598

509

274

214

28

24

67

63

41

40

192

169

82

80

90

78

158

136

63

54

166

131

43

34

140

130

92

85

58

48

168

137

53

48

99

86

58

47

66

51

56

51

46

39

95

77

45

40

30

29

46

43

44

41

277

250

99

77

44

40

110

88

165

139

49

45

85

73

52

48

114

86

38

31

34

31

579

489

6,105

4,711

42

35

40

34

37

36

70

62

52

46

50

47

45

41

Civilians

1,394

7

City

CALIFORNIA-

Continued

National City

Newport Beach. .

Oakland

Ontario.. ..-

Orange

Oxnard

Palo Alto

Pasadena

Pomona

Redlands

Redondo Beach.

Redwood City

Richmond

Riverside

Sacramento

Salinas

San Bernardino. ..

San Bruno

San Diego

San Francisco

San Jose

San Leandro

San Mateo

Santa Ana

Santa Barbara

Santa Clara

Santa Cruz

Santa Monica

Santa Rosa

South Gate

South San

Francisco

Stockton.. -.

Sunnyvale.

Torrance

Vallejo.- —

Ventura

Westminster

Whittier

COLORADO

Aurora

Boulder..

Colorado Springs.

Denver

Englewood

Greeley.. —

Pueblo

CONNECTICUT

Bridgeport

Bristol

East Hartford

Enfield

Fairfield..

Greenwich

Hamden. -.

Hartford

Manchester

Township

Meriden.

Middletown

New Britain.

New Haven

New London

Norwalk...

Norwich.

Stamford

Stratford

Torrington

Wallingford

Number of police department
employees

TOTAL

49
85

757
63
46
60
74

219
90
48
66
60

155

134

326
57

190
33

795
1, 856

273
66
87

151

44
42

113
MIS
35
39

127

375

57
72
31
54

135
70

422

4!)
89
42

L63

397
63

130
48

212
72
57
34

Police Civilians
officers

606
56
39
54
71

180
72
44
55
53

133

110

273
43

161
26

669
1, 735

250
54
80

114
72
61
39

132
37
76

32
146
59
124
69
52
24

41
42
99

738
34
30

119

355
54
69
31
54

120
68

387

41

150

374
60

121
46

201
68
54
34

111

Table 38.— Number of Full-time Police Department Employees, December 31,
1961, Cities Over 25,000 in Population — Continued

Number of police department
employees

City

Number of police department
employees

City

TOTAL

Police
officers

Civilians

TOTAL

Police
officers

Civilians

CONNECTICUT—

Continued

246
111
72

234

3,010

92
89

78

222

49

58

83

114

498

41

85

866

276

47

153

46

122

236

55

74

506

127

65
45
811
152
175
52
155
40
56
179
36

89
632

82
107

63
69
43

56
36
85
43
59
48

237
104
70

213

2,809

65

73

58

191

33

48

77

94

420

37

67

620

218

41

133

37

111

206

45

69

369

114

64
39
708
139
166
47
154
38
52
158
35

85
528

78
107

58
58
38

47
30
74
41
59
45

9

7
2

21

201

27

16
20
31

16
10

6
20
78

4

18

246

58

6
20

9
11
30
10

5

137

13

1

6

103

13
9
5
1
2
4

21
1

4
104

4

ILLINOIS— Con.

Calumet City

Champaign

22

61

11, 879

51

112
36
87
34
92
67
35

146
27
36
36
28
36
82
31
35
50
28
85
25
38
29

175
49

147
68
82

115
24
66
32

86

48

140

74

202

248

269

172

932

69

62

59

57

50

108

39

61

212

107

27
38

124
33
60

225
64
31
28
41
34

123

103

21

52

10, 716

46

109
36
74
34
86
59
35

116
27
31
36
27
32
72
29
35
47
27
77
20
35
23

158
46

134
59
74
94
22
57
27

78

39

135

66

192

240

234

159

827

67

62

52

55

47

97

39

59

202

105

27
29

107
32
52

199
63
29
26
34
30
95
95

1
9

West Hartford

1,163

West Haven

Chicago Heights.. .
Cicero ..

5
3

DELAWARE

13

Wilmington

DISTRICT OF

Des Plaines

East St. Louis

Elgin -.

6

8

COLUMBIA

30

5

FLORIDA

Granite City

1

Highland Park

4

Coral Gables --

10

Daytona Beach ..

2

Fort Lauderdale .

Fort Pierce

3

Gainesville. _ _

1

Oak Park

8

Park Forest

Park Ridge

Pekin

5

Jacksonville

3

6

Lakeland. - -

17

3

Miami Beach.

Rockford

13

North Miami

Rock Island

9

8

Panama Citv -

21

2

St. Petersburg

9

5

Tallahassee

Tampa

INDIANA

West Palm Beach..

8

GEORGIA

Albany

Bloomington

East Chicago

Elkhart

9
5

8

Athens

10

Fort Wayne

8

Augusta. _ __ - -

35

Columbus. __

13

Indianapolis

105

Macon ...

o

Marietta. .. . . ..

-

Michigan City

Mishawaka

0

3

11

HAWAII

New Albany

Richmond

2

Hilo

South Bend

Terre Haute

IOWA

10

2

Maui

IDAHO

5
11
5

9
6
11
2

Boise

9

Idaho Falls

Cedar Rapids

17

Pocatello

1

ILLINOIS

Council Bluffs

Des Monies

8

26

1

Fort Dodge

Arlington Heights

2

Mason City

Belleville

4

Berwyn

28

Bloomington

3

Waterloo!.

8

112

Table 38. — Number of Full-time Police Department Employees, December 31,
1961, Cities Over 25,000 in Population — Continued

City

KANSAS

Hutchinson

Kansas City

Lawrence

Prairie Village

Salina

Topeka

Wichita

KENTUCKY

Ashland

Bowling Green

Covington

Lexington

Louisville

Newport

Owensboro

Paducah

LOUISIANA

Alexandria

Baton Rouge

Lafayette

Lake Charles

Monroe

New Iberia

New Orleans

Shreveport

MAINE

Bangor

Lewiston

Portland

MARYLAND

Baltimore

Cumberland

Hagerstown

Rockville

MASSACHUSETTS

Arlington

Attleboro

Belmont

Beverly

Boston

Braintree

Brockton

Brookline

Cambridge--

Chelsea

Chicopee

Everett

Fall River

Fitchburg

Framingham

Gloucester

Haverhill

Holyoke

Lawrence

Leominster

Lexington

Lowell

Lynn..,

Maiden

Medford

Melrose

Methuen

Milton

Natick

Number of police department
employees

TOTAL

220

28
24
47
160
343

38
37
83
135
621
60
71
61

55
274
52
47
72
30
128
246

57
69
125

3,439

64

68

4

87

39

46

63

2,970

48

122

151

240

71

87

118

255

76

54

46

77

121

146

35

33

179

193

120

117

50

30

53

43

Police
officers

39
166
24
24
34
128
268

36
37
82
132
523
52
68
58

53

246

37

45

67

30

1,043

220

49
64
111

3,116

58

65

4

38

43

60

2,742

47

117

141

230

66

84

115

238

69

54

44

74

119

136

33

32

171

183

119

113

48

29

51

41

Civilians

323
6
3

1
3
3
228
1
5

10
10
5
3
3

17
7

City

MASSACHUSETTS-
Continued

Needham

New Bedford

Newton

Northampton

Peabody

Pittsfield

Quincy

Revere

Salem

Somerville

Taunton

Waltham

Watertown

Wellesley

Westfield ..

Weymouth

Woburn

Worcester

MICHIGAN

Allen Park

Ann Arbor

Battle Creek

Bay City

Birmingham

Detroit

Dearborn

East Detroit

East Lansing

Ferndale

Flint

Garden City

Grand Rapids

Hamtramck

Hazel Park

Highland Park

Inkster

Jackson

Kalamazoo

Lansing

Lincoln Park

Livonia

Madison Heights-
Midland

Muskegon

Oak Park

Pontiac

Port Huron

Redford Township

Roseville

Royal Oak

Saginaw

St. Clair Shores. ...

Southfield

Southgate

Warren

Waterford Town-
ship

Wyandotte

Wyoming

MINNESOTA

Austin

Bloomington

Duluth

Edina

Minneapolis

Minnetonka

Richfield

Rochester

St. Cloud

Number of police department
employees

TOTAL

239

163
44
48
87

170
84
81

174
68

103
75
33
43
77
41

400

90

93

37

,737

204
51
26
48

302
35

276
84
35

120
41
89

132

180
61
69
27
30
75
67

133
55
37
55
90

153
65
39
29

146

Police
officers

37

225

158

44

46

81

163

79

76

171

64

100

70

31

41

75

41

354

31
4,301

180
45
24
42

255
34

238
79
33

106
39
79

105

164
58
62
25
29
69
59

107
45
34
52
77

143
61
33
27

132

17
59
36

35
32
126
21

582

29
66
37

Civilians

113

Table 38. — Number of Full-time Police Department Employees, December 31,
1961, Cities Over 25,000 in Population — Continued

City

Number of police department
employees

MINNESOTA-
Continued

St. Louis Park,
St. Paul

MISSISSIPPI

Biloxi

Greenville..

Gulfport

Hattiesburg-

Jackson

Laurel

Meridian...
Vicksburg..

MISSOURI

Columbia..

Florissant

Independence

Jefferson City

Joplin

Kansas City

Kirkwood

St. Joseph.

St. Louis

Springfield

University City.
Webster Groves.

MONTANA

Billings

Butte

Great Falls.
Missoula

TOTAL

NEBRASKA

Grand Island.

Lincoln..

Omaha

NEVADA

Las Vegas.
Reno

NEW HAMPSHIRE

Concord

Manchester-
Portsmouth.

NEW JERSEY

Atlantic City

Bayonne

Belleville

Bergenfield

Bloomfield

Camden

Cherry Hill Town-
ship

Clifton

Cranford

Township

East Orange

Edison

Elizabeth..

Englewood

Fair Lawn...

Garfield...

Hackensack

35
443

41
252

39

110

34

50
39
80
34
52

1,161
38
113

2,431

109

53

29

Police
officers

Civilians

39

36
137

458

174

134

38
L17

U)
1 53

69
249

58
41
45
85

33
407

42
49
38
36
212

32

39

13

912

249

36

2

105

8

889

542

104

5

51

2

25

4

63

7

40

4

57

3

30

9

36

112

25

390

68

139

35

106

28

44

112

6

37

1

187

42

163

8

64

31

101

3

233

56

35

3

112

5

40

152

1

66

3

242

7

58

41

3

42

3

73

12

City

NEW JERSEY-
Continued

Hamilton

Township

Hoboken..

Irvington

Jersey City

Kearny..

Linden

Long Branch

Middletown

Township

Montclair

Newark

North Bergen

Township

Nutley

Orange

Parsippany-Troy

Hills Township.

Passaic

Paterson

Pennsauken

Perth Amboy

Plainfield

Rahway

Ridgewood

Teaneck

Township

Trenton

Union City

Union Township.

Vineland

Westfield

West New York..

West Orange

Woodbridge

Township

Number of police department
employees

TOTAL

NEW MEXICO

Albuquerque .

Carlsbad

Hobbs

Las Cruces..

Roswell

Santa Fe

NEW YORK

Albany

Amherst

Amsterdam

Auburn

Binghamton

Buffalo

Cheektowaga

Clarkstown

Elmira

Freeport

Greenburgh

Hempstead

Irondequoit

Ithaca

Jamestown

Kingston

Lackawanna

Lockport

Long Beach

Mount Pleasant.
Mount Vernon .

Newburgh

New Rochelle.-.

New York

Niagara Falls...

84
162
101
1,000
120
114
53

25

94

1,444

105
50

Police
officers

291
114
80
38
49
84

115

291

26
30
28
45
56

32
51
79
61
63
47
58
21

181
59

153
25, 532

197

161
91

835
119
114

51

1,327

20
122

284
32
83
89
57
40

55
258
99
79
37
48
84

240

26
30

28
44
51

222
48
40
57

139
1,353
67
29
97
53
66
67
32
45
71
59
63
46
52
21

171
58

140
24, 382

177

114

Table 38.— Number of Full-time Police Department Employees, December 31,
1961, Cities Over 25,000 in Population — Continued

Number of police department
employees

City

Number of police department
employees

City

TOTAL

Police
officers

Civilians

TOTAL

Police
officers

Civilians

NEW YORK-
Continued

North Tonawanda.
Orangetown

38
31

72
583

47

59
161
394
151
1S4

54
349

113
56

346

131
79
60
39

236
98
27

142
60
95
41

181

36
84
42
37

309
36
37

169

983

2,179

67

703
45

427
68
49
70
36
30
99
32
70
27
79
70
71
35
36
32
74
48
52
59
37

37
30
69
521
47
56
152
353
138
174
53
318

109
51

308

119
73
60
38

210
93
27

127
51
75
36

157

32
72
38
37

289
32
35

161

886

1,901

67

584
44

379
60
46
68
30
29
97
30
65
26
70

68
35
34
32
71
46
49
56
34

1
1
3

62

OHIO— Con.

Shaker Heiehts

South Euclid

Springfield

59
31

118
48

528
30
76

301
46

34

51
71
27
53
33
355

83
772

78

54

31

156

100

106

53
97
54
192
167

54
37
79
91
36

126
93

25

17

39

58

52

5,931

1,512

37

175

21

184

35

22

157
20
99
42
57
73

55
29

109
47

488
24
74

279
43

31
44
64
27
46
33
348

76
653

56

52
30
132
92
96

52

74

50

185

155

51
34
79

87
35

120

78

25

13

35

55

52

5, 382

1,466

34

147

18

173

34

19

134
20
94
34
53
72

4
2

Poughkeepsie

Rochester

Steubenville

Toledo

1
40

Rockville Centre. .

Upper Arlington...

Rome

3
9
41
13
10
1
31

4

5
38
12

6

Schenectady

Syracuse

Youngstown

22
3

Trov

OKLAHOMA

Utica_.

Watertown

Yonkers ._

3

Enid . .

NORTH

-

CAROLINA

Midwest City

Muskogee

Norman

Oklahoma City....

OREGON

Asheville

7

Burlington

Charlotte

'

Durham.. .

Fayetteville

Gastonia

Goldsboro.. .

1

26
5

Greensboro

Salem.

22

High Point

Kannapolis

PENNSYLVANIA

Abington Township.
Aliquippa ..

Raleigh

15
9

20
5

24

4

12
4

Rocky Mount

Wilmineton ...

2
1

Wilson

24

Winston-Salem

Altoona

Bethlehem

10

NORTH DAKOTA

Cheltenham Town-

1

Bismarck...

23

Fargo

Easton

4

Grand Forks

Erie

7

Minot..

12

OHIO

20
4
2

8
97

278

Haverf ord T own-
ship

3

Hazleton

3

Akron... . . ...

Alliance... .

4

Barberton.

1

Canton. .

Lower Merion

Township

McKeesport

Middletown Town-

Cincinnati ..

6

Cleveland

Cleveland Heights .

15

Columbus

119
1
48
8
3
2
6
1
2
2

5
1
9
1
3

Cuyahoga Falls

Dayton

Millcreek Town-

4

East Cleveland

Elyria

Mount Lebanon

Township

New Castle

Norristown

Philadelphia

4

Euclid

Findlav.

3

Garfield Heights.. .
Hamilton

549
46

Kettering . .

Pottstown

3

Lakewood

28

Lancaster ..

Lima

Ridley Township..

3
11

Lorain..

1

Mansfield

Maple Heights

Springfield

Township

Upper Darby

Township

West Mifflin

Wilkes-Barre

Wilkinsburg

Williamsport

York

3

Marion

Massillon . ..

2

23

Middletown

3
2
3
3
3

Norwood

Parma

Portsmouth

Sandusky

5
8
4

1

115

Table 38.— Number of Full-time Police Department Employees, December 31,
1961, Cities Over 25,000 in Population — Continued

City

RHODE ISLAND

Cranston

East Providence..

Newport

Pawtucket

Providence

Warwick

Woonsoeket

SOUTH
CAROLINA

Charleston...

Columbia

Greenville.-.
Rock Hill....
Spartanburg.

SOUTH DAKOTA

Rapid City-
Sioux Falls.

TENNESSEE

Chattanooga..

Jackson

Johnson City.

Kingsport

Knoxville

Memphis

Nashville

Oak Ridge....

TEXAS

Abilene

Amarillo

Arlington

Austin

Baytown

Beaumont

Big Spring

Brownsville

Bryan

Corpus Christi.

Dallas

Denton

El Paso

Fort Worth....

Galveston

Garland

Grand Prairie. .

Harlingen

Houston

Irving

Kings ville

Laredo

Longview

Lubbock

Mesquite

Midland

Odessa

Orange

Pasadena

Port Arthur. ..

San Angelo

San Antonio. ..

Temple

Texas City

Tyler

Victoria

Number of police department
employees

TOTAL

104
79

83
161
556
102

98

155

173

130

53

80

199
17
13
50

221

762

390

118

204
45

310
39

144
47
48
30

195

1,224

38

383

608
84
42
32
51
1,347
36
24
58
50

188
34
94

111
35
52

Police
officers

102
73

148
491

93

124
159
116
50
70

Civilians

City

TEXAS— Con.

Waco

Wichita Falls.

UTAH

Ogden

Provo

Salt Lake City.

VERMONT

Burlington

VIRGINIA

Alexandria

Arlington

Charlottesville..

Danville

Hampton

Lynchburg

Newport News.

Norfolk

Petersburg

Portsmouth

Richmond

Roanoke

WASHINGTON

Bellingham.
Bremerton..

Everett

Seattle

Spokane

Tacoma

Vancouver..
Yakima

Number of police department
employees

WEST VIRGINIA

Charleston

Clarksburg

Huntington

Parkersburg

Wheeling

WISCONSIN

Appleton

Beloit

Eau Claire...
Fond du Lac.
Green Bay...

Janesville

Kenosha

La Crosse

Madison

Manitowoc. _
Milwaukee. .

Oshkosh

Racine

Sheboygan. __

Superior

Waukesha . . _

Wausau

Wauwatosa..
West Allis

WYOMING

Casper

Cheyenne.

TOTAL

Police

officers

124

102

105

97

66

62

35

33

309

250

56

51

152

127

207

187

52

52

85

77

86

77

89

83

147

139

452

411

40

36

136

125

457

416

132

126

43

36

53

46

66

62

986

850

274

234

254

234

55

55

73

73

152

36
127
54
95

54
63
44

104
49

106

74

201

52

,843

64

142
75
58
58
47
78

122

140
35

104
46
92

63

51
51
41
94
45
94
68

163

50

1, 752

62

132
74
57
55
47
75

110

116

Table 39. — Number of Full-time Police Department Employees, December 31,
1961, Cities With Population Under 25,000

City

ALABAMA

Albertville

Alexander City.

Atmore

Auburn

Boaz

Brighton

Brundidge

Chickasaw

Fairfield

Fairhope

Fayette

Fort Payne

Graysville

Hornewood

Hueytown

Jacksonville

Jasper

Lafayette

Leeds... —

Marion

Monroeville

Mountain Brook

Northport

Opelika

Opp

Piedmont

Pleasant Grove. .

Prattville

Saraland

Sheffield

Tallassee

Tarrant City— .

Troy

Tuscumbia

Union Springs. ..

ALASKA

Fairbanks

Juneau

Ketchikan

Kodiak...

ARIZONA

Ajo

Avondale

Bisbee

Casa Grande

Chandler

Coolidge

Eloy

Flagstaff

Glendale

Globe

Holbrook

Jerome

Kingman

Miami

Nogales

Peoria

Prescott

Safford

Sierra Vista

Tempe

Tolleson

Williams

Yuma

ARKANSAS

Arkadelphia

Batesville

Camden

Crossett

Number

of police

department

employees

City

ARKANSAS— Con.

Hamburg

Helena

Hope

McGehee

Mena

Monticello

Paragould

Rogers

Russellville

Siloam Springs

Springdale

Van Buren

Warren

Wynne

CALIFORNIA

Albany

Alturas

Anderson

Angels Camp

Antioch

Areata

Arvin

Atherton

Atwater

Auburn

Avalon

Azusa

Barstow

Beaumont

Bell

Belmont

Belvedere

Benicia

Bishop

Blue Lake

Blythe

Brawley

Brea

Brentwood

Broadmoor

Burlingame

Calistoga

Campbell

Carlsbad

Carmel

Ceres

Chico

Chino

Chowchilla

Claremont

Cloverdale

Clovis

Coachella

Coalinga

Colfax

Colma

Colton

Corcoran

Corning

Corona

Corte Madera

Covina

Crescent City

Cypress

Davis

Delano

Dinuba

Dixon

Dorris

Dunsmuir

El Centro

El Monte

El Segundo

City

CALIFORNIA-
Continued

Elsinore

Escalon

Escondido

Etna

Exeter

Fairfax

Fairfield

Ferndale

Fillmore

Folsom

Fontana

Fort Bragg

Fort Jones

Fortuna

Fowler

Gait

Gilroy

Glendora

Gonzales

Grass Valley

Gridley

Grover City

Hanford

Healdsburg

Hemet

Hermosa Beach

Hillsborough

Hollister

Holtville

Huntington Beach

Huron

Imperial

Imperial Beach

Indio

lone

Isleton

Jackson

Kensington

Kerman

King City

Kingsburg

Laguna Beach

Larkspur

La Verne

Lemoore

Lindsay

Live Oak

Livermore

Livingston

Lodi

Lompoc

Los Altos

Los Banos

Los Gatos

Madera

Manteca

Martinez

Marysville

McFarland

Mendota

Merced

Mill Valley

Montague

Montclair

Monterey

Morgan Hill

Mount Shasta

Napa

Needles

Newark

North Sacramento.

Novato

Oakdale

Oceanside

Number

of police

department

employees

117

Table 39. — Number of Full-time Police Department Employees, December 31,
1961, Cities With Population Under 25,000 — Continued

City

CALIFORNIA—

Continued

Ojai

Orange Cove

Orland

Oroville

Paciflca

Pacific Grove

Palm Springs

Parlier

Paso Robles

Patterson

Perris

Piedmont

Pinole

Pittsburg

Piacentia

Placerville

Pleasanton

Porterville

Port Hueneme

Portola

Red Bluff

Redding

Reedley

Rialto

Rio Vista

Ripon

Riverbank

Rocklin

Roseville

St. Helena

San Anselmo

San Carlos

San Clemente

San Fernando

San Gabriel

Sanger

San Jacinto

San Luis Obispo.. .

San Marino

San Pablo

San Rafael

Santa Paula

Seal Beach

Seaside

Sebastopol

Selma

Shatter

Sierra Madre

Soledad

Sonoma

Sonora

South Pasadena —

Stanton

State Harbor Police

Suisun City

Susan ville

Sutter Creek

Taft

Tracy

Tulare

Tulelake

Turlock

Tustin

Ukiah

University of

California

Upland

Vacaville

Vernon

Visalia

Walnut Creek

Wasco

Watson ville

Weed

Number

of police

department

employees

City

CALIFORNIA-
Continued

Westmorland

Williams

Willits

Willows

Woodlake

Woodland

Yreka City

Yuba City

COLORADO

Arvada.-

Brighton

Brush

Canon City

Commerce City..

Cortez

Durango

Florence

Fort Morgan

Glenwood Springs

Golden

Grand Junction...

Julesburg

La Junta

Lamar

Leadville

Littleton

Longmont

Loveland

Manitou Springs.

Monte Vista

Montrose

Rocky Ford

Salida

Thornton

Trinidad

Walsenburg

Westminster

CONNECTICUT

Bethel

Bloomfield

Branford

Cheshire

Danbury

Danielson

Derby

Glastonbury

Groton Borough..

Guilford

Monroe

Naugatuck

New Canaan

Newington

North Haven

Orange

Plainville

Putnam

Rock ville

Rocky Hill

Shelton

Simsbury

Southington

Suffleld

Trumbull..

Waterford

Westport

Wethersfleld

Willimantic

Wolcott

Woodbridge

Number

of police

department

employees

20

City

DELAWARE

Dover

Milford

Seaford

Smyrna

FLORIDA

Apalachicola

Apopka

Atlantic Beach

Auburndale

Bav Harbor Islands.

Belle Glade

Biscayne Park

Boca Raton

Boynton Beach

Bradenton

Clewiston

Deerfield Beach

Dunedin

Eustis

Florida City

Fort Myers

Green Cove Springs

Gulfport '-.

Haines City

Holly Hill

Homestead

Kissimmee

Lake Park

Lake Wales

Leesburg

Maitland

Margate

Miami Shores

Miramar

Mount Dora

Mulberry

Naples

New Smyrna Beach
North Miami

Beach

North Palm Beach

Oakland Park

Ocala.

Ocoee

Opa-locka

Ormond Beach

Palatka

Palm Beach

Palmetto

Palm Springs

Pinellas Park

Plantation

Plant City

Pompano Beach —

Quincy

Safety Harbor

St. Cloud

St. Petersburg

Beach

Sanford

Sebring

South Miami

Starke

Surfside

Titusville

Treasure Island

Vero Beach

West Miami

Winter Haven

GEORGIA

Adel

Number

of police

department

employees

118

Table 39. — Number of Full-time Police Department Employees, December 31
1961, Cities With Population Under 25,000 — Continued

Number

Number

Number

City

of police

City

Of poller

City

Of police

department

department

department

employees

employees

employees

GEORGIA— Con.

ILLINOIS— Con.

ILLINOIS- Con.

Americus .

19

Belvidere

10

Liberty ville __

12

Bainbridge

17

Benld

2

Lincoln

16

Barnesville

6

Bensenville

13

Lincolnwood _

is

Bremen

7

Berkeley

5

Lisle

2

Buford

"

Bradley ... -

7

Litchfield

Calhoun

7

Bridgeview

4

Lockport

12

Carrollton

15

Broadview

12

Lombard

19

Cartersville

14

Bushnell

4

Loves Park

6

Chamblee

5

Cahokia

11

Lyons

13

Cuthbert

5

Canton

16

Macomb

13

Decatur

28

Carmi

8

Madison

15

Douglas

17

Cary

3

Marion

11

Dublin

14

Casey ville

2

Markham

14

Elberton

14

Centralia

17

Marquette Heights.

2

Fitzgerald

12

Centreville

7

Mascoutah

2

Forest Park

18

Charleston

12

Matteson

3

Gainesville

28

Chester

9

Mattoon

23

Griffin . ..

40
6

Chillicothe ._

6
3

McLeansboro

Melrose Park

4

Jackson

Christopher

30

Jesup

10

Clarendon Hills

5

Mendota

10

La Fayette

La Grange

9

Coal City

3

Metropolis.

7

42

Country Club Hills.

1

Midlothian

10

Lawrenceville

7

Crest Hill

11

Milan

4

Madison

5

Crystal Lake

14

Momence

2

Milledgeville

19

Deerfield

14

Monmouth

11

13
23

De Kalb

24
16

Morris

Morrison

7

Moultrie

Dixon

4

Quitman

9

Downers Grove

25

Morton

4

5
3

Du Quoin

East Alton

4

10

Morton Grove

Mount Carmel

26

St. Marys

8

Sanders ville

7

East Moline

18

Mount Olive

4

Smyrna

13

Edwardsville

11

Mount Prospect

21

Summerville

8

Effingham

7

Mount Vernon

16

Tallapoosa

7

Eldorado

4

Mundelein

15

Thomaston

18

Elk Grove Village. .

13

Murphysboro

6

Thomasville

21

Elmwood Park

21

Naperville

16

Thomson

5

Eureka

2

Nashville

2

Toccoa

13

Evergreen Park

25

Niles

34

Fairfield

10

Nokomis

3

IDAHO

Fairmont City

2

Normal

12

Farmington

2

Northbrook

17

Alameda

11

Flora

9

North Chicago

16

Blackfoot

12

Flossmoor

7

Northfield

9

Buhl

4

Forest Park

20

Northlake

16

Burley -

16
19

Franklin Park

Galena

17

7

North Riverside

O'Fallon

11

Caldwell

3

Coeur d'Alene

16

Geneseo

6

Oglesby

4

Emmett

7

Geneva-

10

Olney -

9

Garden City .

3

Gibson City.

4

Orland Park

2

4

18

22

Jerome

8

Glen Ellyn

22

Palatine

19

10

24

Palos Park

10

Lewiston

22

Grayslake

2

Pana

5

Montpelier

4

Harvard

5

Paris

11

Moscow

15

Harwood Heights...

7

Paxton

4

11
24

6

7

Peoria Heights

Peru

7

Nampa

Highland

14

Payette

7

Highwood

6

Piano

3

Preston

4

Hinsdale

16

Polo

2

Bexburg

4

Homewood

16

Pontiac

8

Rupert

10

Itasca

4

Princeton

5

Salmon

3

Jacksonville

20

Rantoul

19

Sandpoint

8

Jersey ville

12

Riverdale

12

Shelley

3

Johnston City

2

River Forest

25

Soda Springs

4

Justice

3

Riverside

16

Twin Falls

25

Kenilworth

11

Robbins

13

Wallace. .

5

Knoxville...

2

Robinson.

5

La Grange..

29

Rochelle

10

ILLINOIS

La Grange Park

20

Rockdale

3

11

Lake Bluff . .

4
23

Rock Falls

19

Addison

Lake Forest

Rolling Meadows.. _

14

Barrington

12

Lake Zurich

5

Romeoville

1

Barton ville

4

Lansing

12

Roselle

4

Batavia

9
23

17

7

Round Lake Beach.
Rushville. .

6

Bellwood

Lawrenceville

5

119

Table 39. — Number of Full-time Police Department Employees, December 31,
1961, Cities With Population Under 25,000— Continued

City

Number

of police

department

employees

City

Number

of police

department

employees

City

Number

of police

department

employees

ILLINOIS— Con.

St Charles

13

9

4

3

7
11
10

4

2
2
3
2
4

19
5

14
2
7
9
1
5
2
6

15

21
3
3
9
5

16

10
3

15
2

25
7
8

24
2

11
8

13

6

8

7

4

22

14

2

4

10

12

3

2

5

10
10
8
40
28
3

23
8
12
4
4
8
2
22
5
5

INDIANA— Con.
Goshen

21

15

12

12

6

9

12

14

4

23

3

5

21

9

4

32

10

8

9

16

5

6

4

12
40
8
5
8
23
4
8
14
12
12
4
7
4
12
3

10

2

14

21

12

9

6

8

5

19

22

12

20

27

8
3
3
3
4

12
4

16

19
9
5
7
6

12
8
7
4
3

10

IOWA— Continued

Evansdale.. .. . _

5

Fort Madison

Glenwood

17

3

Sauk Village

Grinnell . .

7

Griffith

Hampton.

4

Schiller Park

Hartford City

Highland.

Hawarden ._

3

Silvis

Humboldt .. .

4

Hobart

Independence

10

South Chicago

Heights

Sparta

Huntingburg

Huntington

5

Iowa Falls ...

10

Jefferson..

5

Keckuk .. ... ..

24

Steger

Jefferson ville

Kendallville

Knox.

8

Manchester .__ ...

4

M aquoketa

10

La Porte

Marion.. _

Marshalltown

Missouri Valley

Monticello .

22

Swansea

Sycamore

Taylorville

Lawrenceburg

Linton .

3

6

Mount Pleasant

Mount Vernon

Newton .

10

Mitchell

2

Tinlev Park

Monticello..

17

Moores ville

Oelwein.

12

Mount Vernon

Osage

4

3

Villa Park

New Haven

North Manchester—

North Vernon

Peru .. . . . ..

Oskaloosa

11

Washington Park...

Pella

Perry-

10

Red Oak

10

Petersburg

Rock Rapids

Sheldon

3

Plainfield...

4

West Chicago

West Dundee

Shenandoah

Sibley

7

Portland

3

Princeton .

Spencer... .

9

Spirit Lake. .

3

9

White Hall

Rockville. ...

Tama

4

Wilmington

Rushville . .. .

3

?,

Winthrop Harbor...

Scottsburg... . .

Waverly.. . . . .

10

Sellersburg . . ..

Webster City

West Des Moines...
Windsor Heights

11

16

Shelbyville

3

4

INDIANA

Sullivan ... ...

KANSAS

Tell City

Angola

Tipton

9

4

Batesville. . .. _-

Vincennes

Arkansas City

Atchison ...

18

Bedford ....

16

Beech Grove ...

West Lafayette

16

Baxter Springs

Belleville

6

Bicknell .

IOWA

5

Bluffton ..

Beloit

4

Brazil _ ... __

Caney

4

Brookville.

Chanute . . .. .

13

Chesterfield

3

Chesterton __

Ankenv . . . .

Clay Center

Coffevville

5

Clarksville . _.

20

Belle Plaine

3

Columbia City

9

Columbus..

Bloomfield

Council Grove

Derbv

3

Connersville

Boone .. . .

8

Cory don..

Cedar Falls

Dodge City

17

Crawfordsville..

Centerville . .

1

Crown Point

Chariton .

El Dorado

13

Decatur

Cherokee

Ellinwood...

4

Delphi

Clarinda .

Ellis

4

Dunkirk

Clear Lake

19

East Gary.. _ .

Decorah . ..

8

Fairmount

Denison .

6

Frankfort

Eagle Grove

Eldora..

5

Garrett..

Garden City

Garnett

16

Gas City....

Estherville

7

120

Table 39.

-Number of Full-time Police Department Employees, December 31,
1961, Cities With Population Under 25,000 — Continued

City

Number

of police

department

employees

City

Number

of police

department

employees

City

Number

of police

department

employees

KANSAS— Con.
Goodland...

5
23
12

7
5
4
5
4
4
4

14

11

27
9
5

20
6

17
2
5

28
5

15
6
4
3
9
6

13
5

17

24
2

11
6
9
8
2
4

14

15

8
6
4
5
11
3

13
13
32
8
9
9
15
7
11
9
4
3
5
7

19
15
3

10
11
7
6
12
3
5
5

KENTUCKY— Con.

St. Matthews

Scottsville

7
7

14
8

1

24

24

3

5

8

19

16

39

7

7

8

4

23

20

3

6

13

13

24

4

7

26

10

30
34
15
5
9
16
7
6
2
11
2
2
2
3
2
8
9
3
2
11
3

12

14

13

11

15

7

35

2

17

1

12
52
6
4
3
18
8

MARYLAND— Con.

District Heights

Easton. .. .

2

Great Bend

14

Hays .

Somerset

Elkton

5

34

Wilmore.

LOUISIANA

Bastrop ..

g

Havre de Grace

Pocomoke City

Salisburv.

9

Holton

7
49

Humboldt

Bogalusa. .

Takoma Park

22

Delhi. ..

2

Iola

De Ridder.

University of

Maryland

University Park

MASSACHUSETTS

Acushnet. .

Junction City

Donaldson ville

Eunice.. . .

30
15

Larned

Franklin ..

Houma. .

Jonesboro.

Liberal.

Kaplan. . .

4

Mamou ..

Adams. ..

18

Marksville.

Agawam ..

21

Morgan City

Natchitoches

Amesburv. . .

13

Marvsville

Amherst .

11

Andover .

27

Pineville.

Ashland

8

Athol

17

Auburn

10

Olathe

3

Ayer

Barnstable

Welsh. .

32

West Monroe

Winnfield

Bedford

14

Bellingham. .. ...

4

MAINE

Blackstone

4

Plainville

Pratt

Bridgewater

Burlington. .. .

9
20

Chelmsford.. . . .

20

Clinton. ..

18

Bath...

Cohasset

12

Belfast .

Concord.. . .

19

Dalton. . .

6

Dan vers ...

23

WinfiekL

Calais

Dartmouth

11

Camden .

Dedham

37

KENTUCKY

Cape Elizabeth

Dover - ...

3

Dracut ..

10

Dexter..

Duxburv. .

6

Bellevue

Benton..

Dover-Foxcroft

Falmouth..

East Bridgewater. ..

Easthampton

East Longmeadow..
Easton - . .. .

5
16

Berea

Farmington..

15

Cynthiana.-

Fort Kent..

9

Gardiner

Fairhaven ..

13

Houlton

Lisbon Falls

Madawaska

Old Town

Pittsfield

Presque Isle

Rockland...

Rumford

22

9

Frankfort

11

28

Fulton

Great Barrington...

8
28

1

Greenville

Hamilton

Hanson

Hingham

4

Harlan

Harrodsburg

Highland Heights. _

Saco

Sanford

4
32

South Portland

15

Hull

27

12

Mayfield

Middlesboro

Monticello

Mount Sterling

Murray.

MARYLAND

Longmeadow

Ludlow

18
15
15

Mansfield

8

Nicholasville

Paintsville.-

Annapolis

Bel Air

Marblehead

Marlboro

Medfield

Middleboro..

28
25

Paris. .

Bladensburg

8

Park Hills

18

Prestonsburg

Radclifl.

Milford

23

Crisfleld

Millbury

641799'

-62-

121

Table 39.— Number of Full-time Police Department Employees, December 31,
1961, Cities With Population Under 25,000— Continued

City

Number

of police

department

employees

City

Number

of police

department

employees

City

Number

of police

department

employees

MASSACHUSETTS-
Continued

8

9

7
10
19
31
15
20

4
12

2
11
34

6

7
12

6

3
26
10
32

8
26
12
14
11
30
13

3
30
27

6
15

1
37
18
10
20
23
10
46
19
32

30

18
4

14

19
5

41

22
4

15
9
1

11
4

13
3
2

15
8
7
3

17

14
4
3

10
4

11

MICHIGAN— Con.

51

21
6

16

10
8
3
9
5
1
4
6

18
7
8

18

28
32

36
5

31

10
8

32
4
8

14
8

11
5

16
7

11
4
4

11
1

11
6
4

19
9
7
4

14

27

39

32

3

14

6

31

13

5

28
7
4
28
8
10
5
8
15
4
42
14
10
3
4
7
4

MICHIGAN-Con.
St. Johns

6

AT

Escanaba

St. Joseph

22

Mattapoisett

St. Louis

Sault Ste. Marie

South Haven

South Range

Sparta

Stambaugh

Sturgis... ...

5

Farmington.. . .

28

Fenton

14

Newburyport

North Adams

North Andover

North Attleboro

Flat Rock ..

1

3

3

15

Gaastra _- -

Swartz Creek

Tecumseh. ..

3

Northbridge

North Brookfield...
North Reading

11

Three Rivers

Traverse City

Trenton ..

13

Grand Haven

Grand Ledge

22
37

Vassar

4

Oxford

Grosse Pointe

Grosse Pointe

Wakefield

4

Walled Lake

Ypsilanti.

4

37

Grosse Pointe Park.
Grosse Pointe
Woods . -- --

Zeeland. .. . . .-.

3

MINNESOTA
Albert Lea . -

Hancock... .

Harper Woods

Hastings . ...

25

7

Hillsdale

15

Holland

Arden Hills. ... _.

2

Houghton ....

Aurora .. .

4

Southbridge

South Hadley

Howell

Babbitt

3

Huntington Woods

3

15

Iron Mountain

6

Swampscott

Blue Earth

Brainerd

Breckenridge

Brooklyn Center

Brooklyn Park

4

Ishpeming . . .

17

Lake Orion __ .

6

Topsfleld

Lapeer...

Lathrup Village

12

6

2

Chaska

2

Mackinac Island

14

Cloquet .

12

Columbia Heights..
Coon Rapids.

14

"West Springfield

Marine City

Marquette -

8
16

Crosby

Crystal

4

16

MICHIGAN

2

Menominee.

Michigan State
TJniversitv ..

1

Detroit Lakes

Ely

7

12

Milford

Eveleth

12

Monroe... - - -

Fairmont

13

Mount Clemens

Mount Morris

Mount Pleasant

Munising .

Falcon Heights

Faribault. _. . ...

3

18

Benton Harbor

Berkley

Fergus Falls

Fridlev ...

14
9

Muskegon Heights .

10

Beverly Hills

Golden Valley

Grand Rapids

Granite Falls

Hastings .__

11

New Baltimore

8

Blissfield

3

Bloomfield Hills

9

Hibbing

25

Cadillac .

Hovt Lakes. .

3

Caro

Oxford

Hutchinson . .

5

Petoskey - .

International Falls.

9

5

Charlotte

Pleasant Ridge

Plymouth .__.__.

Lake City -

4

Le Sueur - -

3

Chelsea

Richmond

River Rouge

Riverview .. .

Little Falls

7

Luverne .

4

Mankato .- .

31

Crystal Falls

Maplewood .. .

5

Montevideo

Moorhead .

7

Dowagiac—

Rogers City

24

Mound . . -

5

Easl Grand Rapids.

St. Clair

Mounds View

8

122

Table 39. — Number of Full-time Police Department Employees, December 31,
1961, Cities With Population Under 25,000 — Continued

City

Number

of police
department
employees

City

Number

of police

department

employees

City

Number
of police
lepartment

employees

MINNESOTA— Con.

3
2
15

9

6

3

4
15

4

6

3
16

4
14
10

6

5

2

3

3

4

4

4
24

3

2

4

13

4

8
22

3

4

4

3

9
12
19

4
41
12

4
5
2
14
10
16
3

33
2

10
4
2
20
38
7
8
6
9

4
3

10
19

3

10
17

6

MISSOURI— Con.

5

36
17
5

35
11

4
6

6

17
13

8
25

9

5
25
14
22

4
16
11

6

4
13
10

3

9
10
12
22

4

8
23
18
35

5
19

15
5
6

36
6

12
3
9
2
2
9
1
9
4

11
14
2
9

13
11

6
23
14
10

5
12
13

3

8

MONTANA— Con.

5

New Prague

New Ulm

Cape Girardeau

Carthage

Whitefish..

4

Wolf Point

3

Northfield

Centralia..

NEBRASKA
Alliance .

Clayton . .

12

Creve Coeur

Crystal City

3

Park Rapid's

is

Bellevue

10

Plymouth

Blair

5

Red Wing

Eldon .

Broken Bow

Chadron.. .. ....

4

Redwood Falls - .

Excelsior Springs —
Ferguson

Fulton _ ._ .

6

Rbbbinsdale

17

Roseville

St. Anthony

9

Crete

5

St. Paul Park

Hazel wood-. _

Fairburv -

7

Falls City

10

Sauk Rapids

22

Kirksville ... .

9

Gothenburg

6

29

South St. Paul

Lebanon. ...

8

Liberty. -. .

20

Maiden. _ ..

McCook

14

Nebraska City

Norfolk

8

Marshall . .

19

Thief River Falls

North Platte

25

Tracy

Moline Acres

Monett . -.

10

Plattsmouth.

5

Neosho -_ . .

■)

Wabasha. ..

Nevada. ._ ..

4

Wadena ..

North Kansas City.
O'Fallon

Scottsbluff

19

5

Wells

Olivette.

14

West St. Paul

Overland. _ . .

4

White Bear Lake...

Poplar Bluff

Ravtown.

4

Wilhnar

4

Windom . ._ ..

Richmond . .

4

Richmond Heights
Rock Hill

West Point

York

Worthington

Rolla

NEVADA

Boulder City

Carson City

MISSISSIPPI

St Ann

Ste. Genevieve

Charleston

Sikeston

12

Cleveland

Slater

North Las Vegas

Corinth

Valley Park

24

Ellisville

W innemucca

NEW HAMPSHIRE

\X arrensbur g

Long Beach

Woodson Terrace. ..

MONTANA
Anaconda

35

Marks

McComb

K,

Natchez. ____...

1]

New Albany

Picayune

Bozeman. .

2(

Waynesboro

Conrad

Keene —

24

Cut Bank

Lancaster

Dillon

4

MISSOURI

Glasgow

4

Glendive

Peterborough

Ballwin

Helena ... ..

Bellefontaine

Kalispell

1]

Neighbors

Berkeley. -

Lewistown

Libbv

Somersworth

NEW JERSEY
Allendale

K

Bethanv.

Boonville

Brentwood

Brookfield

1 Shelby

t

123

Table 39.— Number of Full-time Police Department Employees, December 31
1961, Cities With Population Under 25,000— Continued

City

NEW JERSEY— Con.

Number

of police

department

employees

Asbury Park

Atlantic Highlands.

Audubon

Bellmawr

Belvidere

Berkeley Heights. ..

Berlin

Bernards Town-
ship

Bogota

Boonton

Bordentown ...

Bound Brook

Bradley Beach

Brielle

Brigantine.

Brooklawn

Burlington

Butler

Caldwell

Cape May

Carlstadt

Carteret

Cedar Grove

Township

Chatham Borough..

Clark

Clayton

Cliffside Park

Closter

Collingswood

Cresskill

Deal.

Demarest

Dover

Dumont

Dunellen

East Paterson

East Rutherford

Eatontown

Edgewater

Emerson...

Englewood Cliffs.-.

Fair Haven

Fairview

Fanwood

Flemington

Florence Township.

Florham Park

Fort Lee

Franklin

Franklin Lakes

Freehold

G arwood

Glassboro

Glen Ridge

Glen Rock

Gloucester City

Greenwich Town-
ship

Guttenberg

Haddonfleld

Haddon Heights- ..
Haddon Township.
Harrington Park...

Harrison

Basbrouck Heights

Baworth

Hawthorne

Highland Park

Highlands

Hightstown..

Hillsdale

Hillside Township.
Ho-Ho-Kus

7
13
11

2

17
5

5
15
16

9
15
14
12

8

3
29

6
20
13
15
42

16
17
19

4
28
12
22
10
15

5
13
25
12
23
16
14
18
10
10

8
20
14

3

13
14
43

3

4
13
10
10
21
22
23

10
14
27
14
19

5
55
20

6

20
19

5

8
14
58

7

City

NEW JERSEY— Con.

Hopatcong

Jamesburg

Keansburg

Kenilworth

Key port

Kinnelon

Lakehurst

Lambert ville

Lincoln Park

Lindenwold

Linwood...

Little Ferry

Livingston

Lodi

Lower Perms Neck

Township

Lyndhurst Town-
ship

Madison

Magnolia

Manasquan

Maple Shade Town-
ship

Maplewood Town-
ship

Maywood

Merchantville

Metuchen

Middlesex

Millburn Town-
ship

Millville

Montvale

Morristown

Mountain Lakes

Mountainside

Mount Ephraim

Mount Holly

National Park

Neptune City

Neptune Township,

Netcong

New Milford

New Providence

Newton

North Caldwell

North Haledon

North Plainfield

North vale

North Wildwood--.

Norwood

Oakland

Oaklyn

Ocean City

Ocean Grove

Oceanport

Oradell

Palisades Interstate

Park

Palisades Park

Paramus

Park Ridge

Paulsboro

Penns Grove

Phillipsburg

Piscataway Town-
ship

Pitman

Pleasant ville

Point Pleasant

Point Pleasant

Beach

Pompton Lakes —

Princeton

Prospect Park

Number

of police

department

employees

City

NEW JERSEY— Con.

Ramsey

Red Bank

Ridgefleld Park

River Edge

Riverside

Rochelle Park

Township

Rockaway

Roseland

Roselle

Roselle Park

Rumson

Runnemede

Rutherford

Saddle Brook

Township

Sayre ville

Scotch Plains

Sea Isle City

Secaucus

Shrewsbury

Somerdale

Somer ville

South Orange

South Plainfield. ...

South River

Springfield

Spring Lake

Heights

Stratford

Summit

Tenafty

Union Beach

Upper Penns Neck
Upper Saddle River

Ventnor City

Verona

Waldwick

Wallington

Washington

Watchung

Weehawken Town-
ship

West Caldwell

West Deptford

Township

West Long Branch.

West Paterson

Westwood

Wharton

Wildwood

Wildwood Crest- --

Williamstown

Woodbury

Woodcliff Lake— -

Woodlynne

Wood-Ridge

Woodstown

Wrightstown

Number

of police

department

employees

NEW MEXICO

Artesia

Aztec

Belen

Clayton

Deming

Espanola

Eunice

Farmington

Gallup

Las Vegas City-
Las Vegas Town-
Los Alamos

Portales

124

Table 39. — Number of Full-time Police Department Employees, December 31,
1961, Cities With Population Under 25,000— Continued

City

Number
of police

department
employees

j

City

Number

Of police

department
employees

City

Number

of police

department

employees

NEW MEXICO—
Continued

12
13

2

3

17

11

4

5

4

31

14

27

5

13

5

24

4

17

5

3

6

12

7

2

2

21

1

2

3

36

27

2

2

26

28

10

13

19

3

29

11

53

12

7

10

39

13

5

5

33

4

3

3

9

23

58

36

31

34

4

9

5

2

8

5

13
2
57

17

NEW YORK-Con.
Baverstraw. _ .

11
16

1

3
24

6
22
12
13
16
29
17
29
10
16
12
24

9
13

4
52

7
15
21
37
28
26
12

9
41

2
14
16

2
16

1
16
16
10

4
22
15

2
15
21
33
20
20
14
37
31
15

3

5
34
14
24
10
31
16
50
14
14

27
21
23
43

3
13
12
32

7
52
12

NEW YORK-Con.

Seneca Falls

Shenill

14
2
5
3

Silver Citv

Herkimer. .. ..

Tucumcari ... ___

Highland __ ... .

Silver Creek

Skaneateles

Hoosick Falls

Hornell ... .

NEW YORK

Sloan

6

Horseheads

Akron .

Hudson

Solvay...
Southampton
South Glens Falls..

South Nyack

Spring Valley

12

Albion ... .

Hudson Falls

Ilion

Alfred

3
4
15
3

11

Amitvville

Ardsley

A sharoken

Johnson City

Johnstown. ..

Baldwins ville

Kenmore

Lake Placid

Lancaster Town. .. ..
Lancaster Village...

Larchmont

Liberty ..

Suffern

Ballston Spa

Tarrytown..

25

Batavia

Ticonderoga

6
32
21
9
3
6
5
3
5

Bath

Beacon. ._

Blasdell

Tupper Lake

Upper Nyack

Briarcliff Manor

Brockport.

Little Falls

Liverpool.

Bronx ville

Lyn brook .

Wappingers Falls. __

Canajoharie

Lyons.

Canandaigua

Malone

Malverne ...

Warwick _ .

Canastota .... .

5

23
4
11

Canisteo.

Mamaroneck

Mamaroneck Town.
Massena _ .

Canton... _

Watkins Glen

Carmel

Carthage.

Mechanicville

Medina

Middletown

Mohawk

Cayuga Heights

Wellsville

9

Cazenovia..

West field

Chapoaqua

2

Chittenango . _ .

Monticello... . .

Clyde

Mount Kisco

Mount Morris

Newark

1

Cobleskill

NORTH CAROLINA

Cohoes

Colonie.

New York Mills

North Castle

North Pelham

Northport..

Coopers town

23

Corinth... .

22
6
4
3

10

10

26

4

Corning

Ayden

Beaufort

Cortland

Dans ville

North Syracuse

North Tarry town...
Norwich ..

Depew.

Brevard

Canton

Chapel Hill

Dobbs Ferry

Nunda .. .

Dolge ville

Nyack __

Dunkirk

Ogdensburg

Olean

Clinton

Concord

12
34
6
14

Eastchester

Oneida

Ellen ville

Oneonta .

Elmira Heights

Orchard Park

Ossining.. ..

Elmsford

7

23

4

Endicott

Oswego.

Elizabeth City

Evans..

Owego .

Fairport...

Painted Post

Palmyra... .

Falconer

Fuquay Springs

6
10

8
38
25
19
48
25

4
14
43

1
16

Floral Park . .

Peekskill

Fort Edward .

Pelham

Granite Falls

Fort Plain

Pelham Manor

Penn Yan. ....

Frankfort..

Fredonia

Plattsburgh

Hendersonville

Fulton

Pleasantville

Port Chester

Port Jervis _ . .

Garden City ..
Glen Cove

Jacksonville

Kernersville

Kings Mountain

Kinston

Lake Waccamaw...

Glens Falls

Potsdam

Gloversville

Goshen... .

Poughkeepsie

Gouverneur

Rensselaer- ..

Gowanda

Riverhead Town

Rye

9
22
29

Granville

Lenoir

Green Island

St. Johnsville

Salamanca

Saranac Lake

Saratoga Springs

Greenport .

Hamburg

Hamilton

Lincolnton

Louisburg

Lowell

11
6
2

24

Harrison

Hastings-on-

Scarsdale. .. ..

22

Hudson

Scotia

Morehead City

12

125

Table 39. — Number of Full-time Police Department Employees, December 31.
1961, Cities With Population Under 25,000 — Continued

City

Number

of police

department

employees

City

Number

of police

department

employees

City

Number
of police

department
employees

NORTH CAROLINA
— Continued

17
22
33
15

4

6
30
12

6
40

4
25

7
15
10

5

2
43
16
26

4
19
10
10
10

10
12
5

17
12
4
9
5
16

2

14

18

29

2

1

14

4

14

10

17

9

14

14

11

2

18

15

9

8

16

20

11

3

19

20

3

6

3

10

6

4

8

OHIO— Continued

Chillicothe

29

12

3

7

4

13

7

2

9

19

15

4

15

12

29

6

6

7

29

18

23

9

22

5

16

10

6

7

5

16

7

9

6

4

11

10

5

3

9

10

3

9

12

11

12

3

12
9
10
9
7
14
5

10
18
15
6
15
14
6

4

14
4
2
8
4
3
3

11
4

10
4

10
6

OHIO— Continued

New Carlisle

Newcomerstown

New Lexington

New Philadelphia

Newton Falls

North Baltimore

North Canton

North College Hill-
North Olmsted

North Royalton

Norwalk . .

3

Morganton

Mount Airy

9

5

Clvde

17

Oxford

Columbiana

Conneaut-. - -

6

3

Red Springs

9

Crooksville

Deer Park. . . . _

7

17

Rutherfordton

n

Delaware --

13

Scotland Neck

Oakwood

Oberlin. ..

35

Dover

Eastlake

East Liverpool

East Palestine

Eaton.. -.- -- ---

7

Siler City

Ontario __.

4

Smithfleld

Oregon . . .

15

Southern Pines

Orrville

11

Oxford.-

8

Spring Lake

Elmwood Place

Fairborn . . ..

20

Parma Heights

Paulding.-. .__

14

Fairview Park

2

Thomasville

Wake Forest

Washington

Waynesville

il

Franklin

19

Port Clinton

8

12

Galion

Reading..

15

Williamston

Reynoldsburg

Rocky River

10

22

NORTH DAKOTA

Germantown

5

St. Bernard

St. Clairsville

Salem. . ._

17

3

Devils Lake

Golf Manor

15

Grandview Heights.

Greenfield

Greenhills

Sebring

6

Shadyside

2

Sheffield Lake

Shelby

5

South West Fargo..

10

Grove City

Harrison.. . .

Sidney . . .

15

Silverton .

8

Hicksville .

Solon

12

3

Stow

11

OHIO

Huron

Strongsville.. .

13

Independence

Struthers

16

Ada

Tiffin

23

Amberley

Kent

Tipp City

3

Ashland

Ashtabula

Lakeville Village

13
12

7
4

Aurora

Lincoln Heights

Avon Lake

University Heights.

27

Bay Milage

13

Beachwood

10

Bedford

Madeira

13

17

Bedford Heights

Wadsworth.

Bell aire

Wapakoneta

Warrensville

8

Bellefontaine

Bellevue.

Martins Ferry

13

Bellville

Washington Court

Bexley..

13

Bowling Green

Mentor

Wauseon

2

Brecksville

Mentor-on-the-

Lake

3

Bridgeport

7

Miamisburg

Middleport

West Carrollton

8
7

Brook Park

Bryan

15

Cadiz

Mingo Junction...

M ogadore

Montgomery

25

Cambridge

15

Campbell

Willard

7

Canfield

Willoughby

Willmvick

Wilmington

18

Carey

Moraine

Mount Healthy

Napoleon

16

13

8

Celina —

Chagrin Falls

Woodlawn

6

Chardon

20

Cheviot

Newburgh Heights.

Worthington

13

126

Table 39. — Number of Full-time Police Department Employees, December .?/,
1961, Cities With Population Under 25,000— Continued

City

Number

of police

department

employees

City

Number

of police

department
employees

City

Number

of police

department

employees

OHIO— Continued

12
22

21
20
28
15
14
9
3
20
14
4

10
4
2
13
10
3
5

23

12

14

18

10

14

5

11

5

6

4

6

5

23

21

8

5

4

22

8

11

6

12

5

12

17

12

31

2

29

7

7

5

9

4

10

7

23
13
17
13

8
19
13

8
27
11

5

5

9

OREGON-Con.

Gladstone

Grants Pass

Gresham

3

16

5

7

11

6

37

14

16

13

7

44

10

9

3

10

5

5

12

16

23

8

6

4

23

7

10

5

28

9

17

7

5

4

8
18

3

2
12

3

4

9
19

7

5
10
25

5

7

1

2
13

2

5

4

4
17

6
15
10

1
39
14

3

5
14
18
15

4

22
15
28

PENNSYLVANIA
Continued

Clarion

Clearfield- ..

Clymer

Coaldale

Collingdale

Colwyn

Connellsville

Conshohocken

Coplay

Coraopolis

Corry

Coudersport

Crafton

Cressona

Curwensville

Dallastown

Xenia ._

OKLAHOMA

Ada

Hermiston

Hillsboro

Hood River

Klamath Falls

La Grande

Lake Oswego

Lebanon

McMinnville

Medford

Milton-Freewater...

Milwaukie

Myrtle Point

2
2
5
2
19
10

Altus

Ardmore

Bethany . .

Black well

3

12
9
2
12

Broken Arrow

Cherokee

Claremore .

Cleveland

Clinton. . . .

2
4
6

Collinsville

Newport

Nyssa

Ontario

Oregon City

Pendleton

Prineville

Redmond

Reedsport

Roseburg

St. Helens

Seaside

Commerce. . .

dishing

17

Del City...

Derry

Dickson City

Donora

Doylestown

Dravosburg

2
3
14

Dewey ...

Drumright

Duncan

Edmond.. _.

5

Elk City

El Reno

Duquesne

Duryea

East Lansdowne

East Stroudsburg.. .
Easttown

Township

Ebensburg

23

7
5
9

Frederick-

Guthrie... __ . .

Guvmon _

Springfield

Sweet Home

The Dalles

Henryetta... .

Mollis

8

Hominv ... .

Madill

Toledo

West Linn

PENNSYLVANIA

Ambler

Ambridge

Annville

Apollo

Arnold

Ashland

Athens

Avalon

Baldwin Borough...
Bangor .

4

Mangum

Edgeworth

Edwardsville

Elizabethtown

Ellwood City

Emmaus

Emporium .. .

5
5
5
16

7
2

Marlow

McAlester

Miami

Nichols Hills

Nowata

Okemah

Ephrata . -

9

Okmulgee

Etna.

8

Pauls Valley

Farrell . .

22

Pawhuska..

2

Perry

Ford City

5

Pryor Creek

Forest Citv

2

Sallisaw

Sand Springs

Fountain Hill

6
15

Sapulpa .

Barnesboro ._

Gallitzin

1

Seminole

Beaver

Beaver Falls

Bedford

Bellefonte

Bellwood

Bentleyville

Berwick .

1

Shawnee

Glassport ..

9

Spiro

2

Stillwater...

g

Tahlequah

Greenville.. .

12

The Village

Grove City

9

Tonkawa .

5

Vinita..-

15

Wagoner

Wewoka..

Bloomsburg

Boyertown

Brackenridge

Brentwood

Bridgeport

Bristol

Brownsville

Burnham

Butler

Butler Township...

California

Camp Hill

Hanover Township.

18
11

Woodward

Heller town.

Honesdale..

5

OREGON
Albany

H ummels town

Huntingdon

Indiana .. ...

1
8
14

Ashland

5

Astoria

Baker

Jeannette

Jenkintown

Jersey Shore

21
15
5
4

Beaverton

Bend

Coos Bav.

Canonsburg

Carbondale

Carnegie

Catasauqua

Chambersburg

Charleroi

Clairton

Johnson burg

Kane

Kenhorst

Kennett Square

4

4
2

7
17

Coquille

Corvallis

Cottage Grove

Dallas

Empire

Forest Grove

Kittanning

Lansdalp

9
16

127

Table 39. — Number of Full-time Police Department Employees, December 31,
1961, Cities With Population Under 25,000 — Continued

City

Number

of police

department

employees

City

Number

of police

department

employees

City

Number

of police

department

employees

PENNSYLVANIA—
Continued

18
4
2

4
4
5
3
5

16
4
2

16

9

11

4
2
7
1
7
22
3
3

14

18
1

27
5

13
3
8

19

12
2

10
8
2
4
4
2

24
2

14
5
5

9
5
3

2

25
3
4
2
5
9

27
6
5
3
3
5
2
2

19
3

23
6

15
2
2

PENNSYLVANIA—
Continued

Port Carbon

Prospect Park

Pimxsutawney

Quaker town

Radnor Township . .
Republic Cardale...

Reynolds ville

Roaring Spring

Rockledge

3
4

13
8

14
3
3
2
2
3
5
5
6

11

18
4

10
5
4
3
8
2
3

1

1

24
15
14
10
2
3
11
2
10
17
2
9
8
4
2
2
12
4
3
1
17
8
4
43

21
9
6

16

36
2
3
3

21

11
6
2
5
6
8

15

3
2
4

5

PENNSYLVANIA—
Continued

Winton.

3

Lansford

Wyoming .. .

2

Laureldale

Wyomissing

Yeadon

9

17

Township

Youngwood...

2

Zelienople

4

Lehighton _. _ . -

RHODE ISLAND

Barrington.

Lemoyne

Lew is burg .

Roversford _ .

16

Lititz

St. Clair

Burrill ville

5

St. Marys ..

Central Falls

Cumberland

East Greenwich

Jamestown _ ..

33

Scottdale...

18

Lower Moreland

Sewickley .... ._

12

Township _ _ .

Shaler Township

Sharon Hill

4

Lower

Johnston ..

20

Southampton __

Sharps burg

Lincoln.

13

Luzerne .

Sharps ville _...._.

North Kingstown...
North Providence. .
North Smithfield...
Portsmouth

20

Shillington

Slatington . .

28

Mahanoy City ...

2

Manheim

Somerset

8

Marcus Hook

South Greensburg. .
Southmont ..

Smithfield

10

Marple Township

South Kingstown...
Ti vert on ..

17

Masontown...

Southwest

Greensburg

Spangler .

10

McAdoo

Warren. .

15

McCandless

Westerly

22

Township

McKees Rocks

McSherrystown

Meadville

Mechanicsburg

Springfield

Township

State College

Stowe Township

Stroudsburg

Sugar Notch

Summit Hill

Sunbury

Susquehanna

S warthmore

Swissvale.. .

SOUTH
CAROLINA

Abbeville-

10

Media.

Aiken..

23

Meyersdale .

Anderson

52

Milton . ....

5

Monessen

Barnwell

6

Monongahela. . . .

Beaufort.

12

Mon tours ville

Bennettsville

Camden

12

Morrisville

Swoyers ville

Tamaqua . __

20

Mount Carmel ...

Chester .

11

Mount Joy _.

Tarentum .

2

Mount Penn

Tavlor

Clinton .

14

Mount Union

Telford

Conway

16

Muncy ...

Throop...

15

Munhall

Titus ville .

Dillon

13

Myers town..

Towanda

Easley

8

Nanticoke... . .

Trafford

42

Nar berth

Fort Mill

9

N azareth

Turtle Creek

Tvrone ....

20

Nether Providence

19

Township ... .

Union Citv.

Greenwood .. ..

30

New Cumberland

Uniontown

Greer

17

New Eagle _ ..

Upper Moreland
Township

Vandergrift

Verona

Warminster
Township

Washington

Weatherly

21

New Holland

New Kensington

Kingstree

Lake City

11

15

North Catasauqua..

Laurens

19

North East

Myrtle Beach

North Augusta

23

Northumberland _ . .
Norwood

7
33

Oakmont. -

18

Oil City

Ware Shoals

Williston

6

Old Forge

Weslevville .

4

Olyphant ..

West Chester

West Homestead

SOUTH DAKOTA

Oxford

Palmerton ...

Palmyra

West Newton

West Pittston

West Reading

West View

Whitehall. .

29

Pen Argyl .

Belle Fourche

5

Penbrook

2

Phoenixville

Pitcairn . ..

Hot Springs

7
20

Pittston

Wilkes-Barre

Township

Williamstown

Wilson

6

Plains Township

Lemmon. ..

3

Plymouth

Madison..

12

Portage ... ...

-Mitchell

19

Port Allegany

Windber

Mobridge

7

128

Table 39. — Number of Full-time Police Department Employees, December 31,
1961, Cities With Population Under 25,000 — Continued

City

Number

of police

department

employees

City

Number

of police

department

employees

City

Number

of police

department

employees

SOUTH DAKOTA—
Continued

Pierre .. .

14
4

5

6

16
3

10

9
41
28

9
23
20

4

9
16
20

4
10
11

6
10

5
16
14
10
11

6
22

1
16

8

9
3
14

7
5
14

2
4

8
6
5

13
3
8

23
9

18

26

12
2
5
7
3
7
6

18
6
8
5

10
1
4
6

26
9

TEXAS— Continued

Daingerfield

Deer Park...

4

5

23

2

5
3
13
1
6
11
5

12
10
7
2
1
8
8
5

17
15
2

11
12
26
28
11
23
15
10
10

2
17
26

8
12
16

5

1
35

3
18

7

5

19
11
9
6
17
5
3

11
4

3

16
27
25
1
14
4

26
4
1
9
4
4
5
28
7
18
10

TEXAS— Continued

Stephenville

Sweetwater

9

Redfield

19

Sisseton

Denison. .

Taft

2

Sturgis.

Denver City

Dimmitt—.

Tahoka.. .

3

Taylor

10

Donna

Tulia

6

Webster ...

Dublin.. .

11

20

TENNESSEE

Duncanville

Eagle Lake

Waxahachie

Weatherford

Hi
13

Alcoa

Eagle Pass. ...

13

Brownsville

Clarksville

Eastland

Edinburg ...

West Columbia

West University
Place. .

2

Cleveland .- _ _

El Campo.-

12

Electra

Elgin

White Settlement...
Winters. ..

10

Columbia... . .

3

Dversburg .

Elsa

Euless

Fort Stockton

Fredericksburg

Freeport

Galena Park

Gatesville

Yorktown. .

1

UTAH

American Fork

Bountiful

Brigham City

Helper..

Fayetteville

Gallatin

Greeneville

Jefferson City

5
13

Gilmer.. .

4

Gladewater

Graham

Greenville..

14

Midvale...

6

Martin

North Ogden

Park City.

1

Maryville

Haltom City

Hereford .

2

McMinnville . .

Pleasant Grove

Richfield

5

Milan .

Highland Park

Hurst... .

4

Millington..

Rov

6

Mount Pleasant

M ur f reesboro

Norris ..

Jacinto City

Jacksonville

Karnes City

South Ogden

South Salt Lake

Springville. ..

4

10
6

Sunset

Tooele

VERMONT

Bellows Falls

2

Ripley

Rockwood

Savannah .

Smyrna

Springfield

Killeen

Lake Worth

La Marque

Lamesa

Lewisville

Luling

Marshall

Mathis . .

10

5
16

Trenton

Union City. .

Essex Junction

Hartford

4

Manchester.

2

TEXAS

Manchester Center.

Middlebury

Montpelier

Newport.. . . .

2

2

Alamo ..

9

Alpine ..

Mission

Monahans

Mount Pleasant

Muleshoe

Nacogdoches

Nederland

Nocona

North Richland

Hills

Olney

Palacios

Palestine

27

Azle .....

St. Albans

Springfield

9

Ballinger _ __ __

9

Beeville

Waterbury

2

Bellmead

Windsor ...

6

6

Borger.

VIRGINIA

Bowie.

Brownfield

Brownwood

10

Burkburnett

Bedford

14

Canadian . _

Bristol .

26

Carrollton.. . ...

Buena Vista

Cape Charles

C hincoteague

Clifton Forge

Colonial Heights

12

Carthage

Castle Hills

Pearsall

Pecos

2
3

Childress..

9

C isco

Plainview

11

Cleburne. . .

16

Clute

Culpeper.

8

Coleman

College Station

Colorado Citv.

Raymondville

Refugio

Richmond

Rockdale

Sherman

Slaton

Snyder

South Houston

Falls Church

Farmville

21
12
11

Columbus

Fredericksburg

Front Royal

27

Comanche

Copperas Cove.

13
12

Corsicana

Crockett

Harrisonburg

Hopewell

20
23

129

Table 39. — Number of Full-time Police Department Employees, December 31.
1961, Cities With Population Under 25,000 — Continued

City

Number

of police

department

employees

City

Number

of police

department

employees

City

Number
of police

department
employees

VIRGINIA-Con.

Lexington .

13

5

13

33

3

9

1

15

17

9

4

15

5

34

32

30

5

22

7

24

14

27

27

8

18

21

3

4

8

18

9

7

3

4

2

5

2

2

12

13

9

11

1

3

2

15

15

16

10

11

29

10

4

18

11

11

3

5

26

1

21

17

6

10

16

4

35

37

5

3

11

5

WASHINGTON—
Continued

Sunnyside

9
8
4
29

18
9

23
3
6
5
2
9
7

11
3

11
2

19
2
5

19
6
3
2
7
4
5
4

12
2
3
2
4
4
5

11
3

2

1

4
12
14
8
18
8
3
4
4
21
12
6
2
19
8
4
25
8
10
3
5
8
4
20
21
11
5
6
8

WISCONSIN— Con.

Horicon

Hudson

Jefferson

Kaukauna

Kewaunee

Kiel

Kimberly

Ladysmith

Lake Geneva

Lake Mills

4

5

Toppenish. ..

6

Washougal

11

Wenatchee.. ...

3

Norton. . . ...

WEST VIRGINIA
Becklev ...

2

Poquoson. ..

4

Pulaski __

4

Radford

10

Benwood..

5

Saltville

Bluefield .

Little Chute

Marinette

Marshfield

Mayville

Menasha

Menomonie

Mequon

Merrill

Middleton

Monona

Monroe

Neenah

Nekoosa

New London

Oak Creek

Oconomowoe

Onalaska

Park Falls

Peshtigo

Plymouth .

4

18

South Hill

Buckhannon

Charles Town

Chester

23

South Norfolk

Staunton ... ..

4
24

Suffolk

Elkins...

13

Hinton

14

5

Waynesboro .

Logan. .

12

Williamsburg

Winchester

Mannington

Martinsburg

McMechen.

14

31

5

WASHINGTON

Aberdeen

Anacortes

Montgomery

Morgantown

New Martinsville...
Paden City. .

20
10
2

Auburn

Piedmont.

4

Bellevue .

Point Pleasant

Ravenswood

4

Bucklev

5

Port Washington.. _

Reedsburg

Rhinelander

Rice Lake

Richland Center

Ripon

River Falls

Rothschild

Schofield

Shawano

Sheboygan Falls

Shorewood

South Milwaukee...

Spooner

Stevens Point

Stoughton

Sturgeon Bay

Tomah

Two Rivers

Viroqua

Waterford

Watertown

Waupaca

Waupun

West Milwaukee

Whitefish Bay

Whitewater

Wisconsin Rapids. _

WYOMING

Buffalo

Cody

Douglas

Evanston

Gillette

Laramie

7

Camas..

Riplev

7

St. \lbans

13

Chehalis. .. . . ..

St. Marys

11

Cle Elum

-

Colfax

5

College Place .

Vienna _ .

2

Colville

Wellsburg

3

Dayton

9

Des Moines. ..

4

Edmonds. . .

White Sulphur

27

Ellensburg. . . .

23

Enumclaw..

Williamstown

WISCONSIN
Algoma...

,5

Ephrata..

22

Fircrest... . .

8

Goldendale..

9

Grand Coulee

Antigo ..

8

Hoquiam. .

19

Kelso

Bavside

4

Kennewick.. . ..

Beaver Dam

Berlin . .

3

Kent

19

Kirkland. . ...

Bloomer

7

Longview

7

Lynn wood

24

Marysville . .

Brookfield--. . ..

26

Moses Lake .

Burlington

Cedarburg

Chilton-

8

Mountlake Terrace.
Mount Vernon

24

Normandy Park...

Oak Harbor

Olvmpia..

Chippewa Falls

Clintonville

Columbus

Cudahy

Delavan

De Pere

4
11

Orting...

3

Pasco .

6

Port Angeles

5

Port Orchard. .

Dodgeville...

21

Pullman.. . ...

Elkhorn

Elm Grove

Evansville

Fox Point

Glendale...

9

Puyallup _

Powell

10

Raymond

Rawlins

10

Renton

14

Richland

Rock Springs

Sheridan

Thermopolis

Torrington

17

Sedro-Woolley

Selah '____

Greendale

Grafton

Hales Corners

Hartford

16
9

Shelton.

7

Sumner

8

130

Table 40. — Number of Offenses Known to the Police, 1961, Cities and Towns
25,000 and Over in Population

Criminal
homicide

Forci-
ble
rape

Rob-
bery

Aggra-
vated

assault

Bur-
glary—
break-
ing or
enter-
ing

Larceny

thefl

City

Murder

and non-
negligent

man-
slaughter

Man-
slaugh-
ter by
negli-
gence

$50
and
over

Under

$50

Auto
theft

Cities over 250,000 popula-
tion

16
74
89
41
26

19
365
37
80
23

99
27
32
136
10

46
9
117
40
11

49
10
159
40
36

38
21
9
31
39

52

482

18

22

18

15
144

30
23

8

12
77
3
36
15

40
23
23
10
8

88
5

4

30
46
20
35

21
108
21
19
16

60
10
14
22
15

5

16
30
26

6

31
25
188
36
12

8
25
18
18
32

22
46
20
21
21

21
108

26
41

28

4

15
15
46
51

48
10
4
9
13

18
12

8
76

134
34

103

10
1,481
80
41
40

55

15

108

315

38

32

15

220

37

7

222

79

1,156

36

18

22
14
24
10
190

122

788
32
67
57

9
500

86
82
23

13

217

29

77
40

140

72
26
27

48

100
26

259
374
1,029
169
594

177

18. 993

242

1,209

480

422

236

1.240

3.397

135

297

61

636

546

88

1,169
511

5,729
620
306

844
188
591
217
1,138

1.017

5.955

146

535

284

139
2,215
365
795
448

112

1,998
240
216
328

1,631
513
275
318
137

1,348
60

94

491

1,966

833

753

262
11,410
340
463
635

886
324
412
5. 052
249

323

28

1,781

252

119

1,194
363

7,973
386

481

955
447
212
140
1,673

597
11, 976
570
448
361

83

3,842

336

556

183

58
978

60
815
330

1,400
110
621
204
130

2,955

208

1,907
4.025
4.573
2.043
3,902

2, 157
39, 452
1.693
3,520
3,381

3,997
2,073
6, 565
15. 300
2,144

4,605
2,644
10, 276
3,408
766

6,020
3,555
35, 409
3,221
3,482

4,209
1,894

4,784
2,809
7.509

4,503
38, 460
1,917
3,383
3,837

1,203

11,752
4,578
4.949
2,526

1,198
10. 375
2,147
5,366
2,562

6,692
4,210
2,997
1.886
1.936

4,902
1,071

1.138
3.331
4. 460
1,513
2,579

808

27, 678

1,376

1,214

2,152

1,103

640

3.208

4,364

811

897

1,634

3,118

405

209

2,472
2,058
20, 192
2,560
1,420

1,479
2,886
2,242
1,254
3,603

2,460

54, 827

1,299

1,736

575

660
4,152
3,014
2.674
2,587

624
3.390
1,202
2,429
2,987

2,449
2,347
1,425
1,714
1,443

2,464

748

4,719
8,295
7.362
3. 585
4,659

1,691
39. 990

4.761
12. 777

6,536

12, 058
3,420
6.997

29. 973
4,531

6,259
5.319
10.311
3. 065
573

8,963

3,482

35, 191

4,290

2,724

4,830
7,201
6,412
2.669
4,783

4,652
34. 565
4.011
6,431
6,142

4,481
13, 068
7,892
3, 501
7,074

2,745
14, 985
4,872
8,734
6,574

14. 389
9,058
4,261
4, 857
3,457

7,268
3,569

1,351

Atlanta, Qa

2.71s

Baltimore, Md

3. is]

718

5,663

Buffalo, N.Y

Chicago, Ill.i._

1.346

29, 737

831

Cleveland, Ohio

2,418

Columbus, Ohio

Dallas, Tex

1,286
2,169

Dayton, Ohio

633

Denver, Colo . . _

3,273

6,164

El Paso, Tex

903

Fort Worth, Tex.

1.012

1.600

3.045

2.728

1,299

1,995

1,925

14, 862

1,264

840

1,389

Milwaukee, Wis. - _. .

1.594

Minneapolis, Minn

Nashville, Tenn.. .

2,397
1,385

Newark, N.J

3,692
3,709

New York, N.Y

21.778
717

Oakland, Calif

1,206

Oklahoma City, Okla

1,643

966

Philadelphia, Pa -.

4,156

2,411

Pittsburgh, Pa

3,242

1.233

Rochester, N.Y___ .

473

3.522

St. Paul, Minn .

794

1.681

San Diego, Calif

1,817

San Francisco, Calif. .

Seattle, Wash

5,389
2,140

681

Toledo, Ohio

511

Tulsa, Okla

Washington, D.C

761

2,459

Wichita. Kans._ .

404

Figures not comparable with prior years.

131

Table 40.— Number of Offenses Known to the Police, 1961, Cities and Towns
25,000 and Over in Population — Continued

City

Cities 100,000 to 250,000 in
population

Albany, N.Y

Albuquerque, N. Mex.

Allentown, Pa

Amarillo, Tex...

Anaheim, Calif

Arlington, Va

Austin, Tex

Baton Rouge, La.
Beaumont, Tex...
Berkeley, Calif. . .

Bridgeport, Conn.
Cambridge, Mass.

Camden, N.J

Canton, Ohio

Charlotte, N.C. _

Chattanooga, Tenn.

Columbus, Ga

Corpus Christi, Tex.

Dearborn, Mich

Des Moines, Iowa..

Criminal
homicide

Murder
and non-
negligent

man-
slaughter

Duluth, Minn..
Elizabeth, N.J..

Erie, Pa

Evansville, Ind.
Flint, Mich

Fort Wayne, Ind

Fresno, Calif

Gary, Ind

Glendale, Calif

Grand Rapids, Mich.

Greensboro, N.C.
Hammond, Ind..
Hartford, Conn..
Jackson, Miss...
Jacksonville, Fla.

Kansas City, Kans.
Knoxville, Tenn —

Lansing, Mich

Lincoln, Nebr

Little Rock, Ark...

Lubbock, Tex

Macon, Ga

Madison, Wis

Mobile, Ala

Montgomery, Ala.

New Bedford, Mass.
New Haven, Conn..
Newport News, Va.
Niagara Falls, N.Y.
Pasadena, Calif

Paterson, N.J....
Peoria, 111

Portsmouth, Va.
Providence, R.T.

Richmond, Va ...

Man-
slaugh-
ter by
negli-
ence

is

Forci-
ble
rape

21

Rob-
bery

30
L46

4

47
55
74
24
76

40
4S

193
52

118

112
57
73
62

85

15
100
52
60
140

52

123

386

27

74

20
51
39
17
638

Aggra-
vated
assault

53

L29

7

181

56

232

183
44

26
200

11
327

144
73

343
26

58

10
111

72

79

616

18
78

472
33

120

65

IDS

226

420

Bur-
glary-
break-
ing or
enter-
ing

127

82

49

120

21

26

7

31

77

53

61

215

88

23

21

5

75

244

43

94

17

24

9

81

62

117

25

37

65

146

108

115

97

59

72

233

50

135

229

419

622
1,171

260
1.047
1,187

664

1,380

1,609

812

796

1,074
610

1,059
693

1,402

931

,712
720
985

534
900
500
,202
, 343

Larceny-
theft

$50
and
over

664
1,093
1,118

605
1,193

451
468

1,104
784

2,613

914
959
507
341
756

1,288
1, 306

393
2,110

965

620
578
650
388

1, 115

1,399
447
696

1,638

2, 299

Under
$50

154
931
234
652
691

818
270
929
358
281

458
552
445
972

316
320

872
442

987

252
404
191
669
1,284

723
962
986
440
629

330
511
457
198
1.653

77
296
296
352

575

774
273
378
502

337
341
458
390
733

166
492
476
, 102
913

Auto
theft

489
3,568

819
2,184
2,143

1,944
3,323
2,580
1,681
2,309

1,407
398

1, 353
1,456
2,744

1,261
1,192

2, 622
2,745
2,692

1,652
1,410
962
1,853
3,001

2,681
2.468
2, 024
1.426
2,124

1,208
1,031
1.258
1,693
3,992

1,614
1,284

1,828
1,587
1,643

2,163
1,012
1,636
1,583
1,657

1,075
1, 510
1,753
512
2,392

1,009
1,786
1,730
2,432
3.943

305
677
143
273
330

277
282
371
206
118

414
696
583

144
414

425
355
406
372
463

218
336
253
297
422

279
658
897
209
284

192
273
564

167
560

277
503
lfi4
138
238

256
217
157
415
239

475
454
211
157
269

653

315

380

1,258

1,040

132

Table 40. — Number of Offenses Known to the Police, 1961, Cities and Towns
25,000 and Over in Population — Continued

City

Criminal
homicide

Murder
and non-
aegligent

man-
slaughter

Man-
slaugh-
ter by

negli-
gence

Forci-
ble
rape

Rob-
bery

Aggra-
vated

assault

Bur-
glary—

break-
ing or
enter-
ing

Cities 100,000 to 250,000 in
•population— Continued

Rockford, 111

Sacramento, Calif

St. Petersburg, Fla...
Salt Lake Citv, Utah.
San Jose, Calif

Santa Ana, Calif.
Savannah, Ga...

Seranton, Pa

Shreveport, La..
South Bend, Ind.

Spokane, Wash...
Springfield, Mass.

Syracuse, N.Y

Tacoma, Wash...
Topeka, Kans

Torrance, Calif

Trenton, N.J

Tucson, Ariz

Utica, N.Y

Water bury, Conn_

Wichita Falls, Tex _
Winston-Salem, N.C.

Worcester, Mass

Yonkers, N.Y

Youngstown, Ohio..

Cities 50,000 to 100,000
in population

Abilene, Tex

Abington Township, Pa.

Alameda, Calif

Albany, Ga

Alexandria, Va

Alhambra, Calif..

Altoona, Pa

Amherst, N.Y

Ann Arbor, Mich.
Asheville, N.C

Atlantic City, N.J.

Augusta, Ga

Aurora, 111

Bakersfield, Calif..
Bay City, Mich...

Bayonne, N.J

Berwyn, 111

Bethlehem, Pa

Billings, Mont

Binghamton, N.Y.

Bloomfield, N.J

Bloomington, Minn.

Brockton, Mass

Brooklinc, Mass

Burbank, Calif

Cedar Rapids, Iowa.

Charleston, S.C

Charleston, W. Va...
Cheektowaga, N.Y..
Chester, Pa.

13

358
139
106

45

144

13

65
62

40
13
67

74
83

39
97

182
24
21

26
44
34
21
143

127
11!)
67
83
63

286
22
57

37
35
42
25
35

42

108

303

7

4

37

480
37
55
25

19
5
2

42
251

21

12

1

15

112

64
144
30
55
13

13
12
4
8
2

2
3

13
4

23

2
107
99

4
163

605
1,936
1,120
1, 693
1,620

1,057

1, 503

318

782
825

739
634
792
688
695

1,183
1, 179

1,938
271
494

552
824
989
446
1,092

582
122
192
292
491

388
196
190
275
311

1,106
279
233
541
200

227
208
133
304
170

53
139
356
392
501

175
1.071
507
107
308

315
1,436

609
1,130

600

302
773
114
352

505

395
451
806
620
282

533
433

867
182
270

291
235
429
116
564

328
84
60
39

302

250
70
148

578
300

499
128
211
422
135

163
167
112
247
101

102
327
118
436

250
815
301
81
112

1,168

3, 980
1, 561

4, 423

7, 268

1, 776

1,598

579

1, 534
2,134

3,344
1,512

2, 736
2,336
1,718

1,507

825

6, 088

797

739

1,603

608

1,398

1,327
163
703
169

1. 474

651
131
313
1,270
629

616

280

739

1,880

1,172

244
191
508
1, 332
623

194
218
512
487
1,153

1,090
1,628

295
277

133

Table 40. — Number of Offenses Known to the Police, 1961, Cities and Towns
25,000 and Over in Population — Continued

City

Cities 50,000 to 100,000 in
population— Continued

Chicopee, Mass

Cicero, 111

Cleveland Heights, Ohio..

Clifton, N.J..:

Colorado Springs, Colo...

Columbia, S.C

Compton, Calif

Council Bluffs, Iowa.

Covington, Ky

Cranston, R.I

Davenport, Iowa.

Decatur, 111

Downey, Calif

Dubuque, Iowa__
Durham, N.C....

East Chicago, Ind.
East Orange, N.J..
East St. Louis, Ill-
Euclid. Ohio

Eugene, Oreg

Evanston, 111

Fall River, Mass

Fort Lauderdale, Fla.

Fort Smith, Ark

Fullerton, Calif

Gadsden, Ala

Galveston, Tex

Garden Grove, Calif.
Great Falls, Mont...
Green Bav, "Wis

Greenburgh, N.Y

Greenville, S. C

Greenwich, Conn

Hamilton. Ohio

Hamilton Township. N.J.

Hampton, Va

Harrisburg, Pa

Haverford Township, Pa.

Hayward, Calif

Hialeah, Fla

Criminal
homicide

Murder
and non-
negligent

man-
slaughter

High Point, N.C..

Holyoke, Mass

Huntington, W. Ve

Huntsville, Ala

Independence, Mo.

Inglewood, Calif..
Irondequoit, N.Y.

Irvington, N.J

Jackson, Mich

Johnstown, Pa

Joliet, 111

Kalamazoo, Mich.

Kenosha, Wis

Kettering, Ohio...
Lake Charles, La-

in

Man-
slaugh-
ter by
negli-
gence

Forci-
ble
rape

Rob-
bery

166

11

26

4

30
22
36

Aggra-
vated
assault

426

87
35
95

97
16
200
70
29

96

268

38

26

6

7

28

6

107

5

121
16

Bur-
glary—
break-
ing or
enter-
ing

100
292
125
202

298

640
1,362
150
348
315

425
457
714
90
364

309
542
894
79
321

244
316

828
238
352

332
678
750
422
105

183
833
73
314
231

598
582
123
388
257

162
264
312
353
368

1,033
114
254
309
215

153
409
270
112
204

Larceny-
theft

$50
and
over

95
237

59
121
147

490
570
213
164
404

176
283
533
147
135

307
329
257
10
495

311
273
714
162
277

189
504
534
258
126

189
404
64
335
185

348

237

379
120

95
161
153
422
241

701
91
84

138
93

51
324
123

58
145

Under

$50

129
386
272
507
831

1,850

1.948

787

722

592

1,890

1,093

1,311

515

759

536
594
263
495
1,306

1,117
454

1,993
509

881

493

679

1,442

1,180

310

328
1,128
190
999
437

790
553
223
1,256
371

378
578
289
191
674

1,252
305
465
276
355

127
1,429
646
331
313

134

Table 40. — Number of Offenses Known to the Police, 1961, Cities and Towns
25,000 and Over in Population — Continued

City

Criminal

homicide

Murder
and non-
negligent

man-
slaughter

Man-
slaugh-
ter by
negli-
gence

Forci-
ble
rape

Rob-
bery

Aggra-
vated

assault

Bur-
glary
break-
ing or

enter-
ing

Larceny
theft

$50
and
over

Under

$50

Cities 50,000 to 100,000 in
population — Continued

Lakewood, Ohio.

Lancaster, Pa

Laredo, Tex

Las Vegas, Nev..
Lawrence, Mass.

Lawton, Okla..

Lexington, Ky

Lima, Ohio

Lincoln Park, Mich.
Livonia, Mich

Lorain, Ohio

Lowell, Mass

Lower Merion Township,
Pa

Lynchburg, Va

Lynn, Mass

Maiden, Mass

Manchester, N.H..

Medford, Mass

Meriden, Conn

Miami Beach, Fla.

Midland, Tex

Monroe, La

Mount Vernon, N.Y.
Muncie, Ind

New Britain, Conn__

New Rochelle, N.Y

Newton, Mass

North Little Rock, Ark.

Norwalk, Conn

Oak Park, 111

Odessa, Tex

Ogden, Utah...

Orlando, Fla

Palo Alto, Calif.
Parma, Ohio

Pasadena, Tex..

Passaic, N.J

Pawtucket, R.I.
Pensacola, Fla._
Pittsfield, Mass.

Pomona, Calif

Pontiac, Mich

Port Arthur, Tex.
Portland, Maine..
Pueblo, Colo

Quincy, Mass

Racine, Wis

Raleigh, N.C

Reading, Pa

Redford Township, Mich.

Reno, Nev

Richmond, Calif.
Riverside, Calif..

Roanoke, Va

Rock Island, 111..

14
19
91

7
7

4
24
10
38

1

38
117
15
25
50

5

18
24
14
15

106
96
19
19
42

41

308
20

77

155

13

20

5

30

3

52

49

1

42
41
163

31
54
18

48
3

36
234
37
28
20

13

23

358

1

4

27
155

80
138

17

179
182

254
438
191

353
718
309
346

436

211
266

256
156
675

143
124
151
160
1,106

417
200
276
535

257

350
431
417
296
301

334
861
209
159

145
453
330
589
105

413

706
304
350
455

374
262
530
359
231

756
995
786
613
221

44

97

177

404

105

215

539

209

321

91

63
154

187

67

345

180
47
153
122
654

213
60
364
284
142

332
201
158
217

44

161

186

512

222

26

67
126
248
202
139

309
382
200
336
222

183
170
389
165

580
313

594
677
293
1.170
282

1,298

1,176

953

1,058
957

360
423

353

604

1,003

251
455
340
276
1,526

995
860
561
914
431

467
392
731
366
203

1,338
1,870
1,767
1,154
233

650

120

655

1,033

285

705
1,677

763
1,226
1,301

443

1,135

1,226

768

752

1,379
1,846
2.069
1,268
749

135

Table 40. — Number of Offenses Known to the Police, 1961, Cities and Totvns
25,000 and Over in Population — Continued

Criminal
homicide

Forci-
ble

rape

Rob-
bery

Aggra-
vated

assault

Bur-
glary—
break-
ing or
enter-
ing

Larceny-
theft

City

Murder
and non-
negligent

man-
slaughter

Man-
slaugh-
ter by
negli-
gence

$50
and
over

Under

$50

Auto
theft

Cities 50,000 to 100,000 in
population— Continued

Rome, N.Y

24
10

95
12

20
lete
80
10
26

30
10
71
14
25

2
10
25
24
19

21
13

43

90

9

10

8

114

10

31

8

28

39

247

17

27

23

1

29

lit
2

""36"

3

43

16
30

34

81
317
370
353
330

404

1.143

450
421

519
302
866

128
308

162
161
421
476
395

400
241
672
842
233

446
143

318
247
331

244

157

224

495

1,293

220
624
2S7
218
254

243
97
115
501
lit

499
264
158
89
906

299
276

104
206
201
180
152

196

316

688

1,555

1. 581

818

30

Roseville, Mich

1

5

2

7
1

27
18
29
11

15
Incomi
79
21
32

25

14

136

4
9

12
25
41
43

31

23

18

146

5

32
9
6

7

6
10

13

67
46

26

28

3

14

25
2
5

20

52

Royal Oak, Mich

94

Saginaw, Mich

St. Clair Shores, Mich

St. Joseph, Mo _________

8
1

2

4
2
3

5
1
1

2

96
28

96

San Angelo, Tex.

4
1
2

2
.....

18
2
9

4
4
11

San Bernardino, Calif

San Leandro, Calif

944
356
337

413
249
1,190
108
370

232
263
264
340

278

241
101

344

888
241

264

113

303

42

91

207
167

149
267
329

134
501

228
236
187

203
155
158
320
79

215
111
324

87
460

233
127

2,057
1.239
1,452

1.217
727

2, 003
394
988

835
202
804
686
890

1, 126

818

297

1,853

1,089

874

89

193

408

52

443

388

766
1.237
1,815

340
1,233
450
434
610

749
424
974

668
167

1,130
3 18
475
252

1,831

327
621

463
167

San Mateo, Calif. _____ _

139

Santa Barbara, Calif

Santa Clara, Calif

178
107

Santa Monica, Calif

Schenectady, N.Y ...

480
98

Sioux City, Iowa

1

5

1

4
4

5

1
1
2
9

1

2

1
8
6
4

3
1

136

Sioux Falls, S. Dak...

92

Skokie, 111

156

Somerville, Mass

2

339

South Gate, Calif

262

Springfield, 111 .

4

1
2

1
8
4

2
1

1

1
1
5
5

1

203

Springfield, Mo..

126

Springfield, Ohio

142

Stamford, Conn . .

219

Stockton, Calif

606

Sunnyvale, Calif. _

122

Terre ETaute, Ind

139

Troy, N.Y .

133

Tuscaloosa, Ala..

23

Tyler, Tex

1
1

1

2
1

1

2

1

1

21

Union City, N..T...

204

Union Township, N.J

University City, Mo. . ...

120
39

Upper Darby Township,
Pa

6
1

8

1

119

Vallejo, Calif

3

1

5
3

2
2

9
14

3

5

8
1

184

Waco, Tex

187

Waltham, Mass

67

Warren, M ieh

130

Warren, Ohio

2
1
2

1

94

Warwick, R. I.

70

Waterloo, Iowa _.

74

Waukegan, 111

Wauwatosa, Wis _

3

2

70
39

West A His, Wis

67

West Covina, Calif

3

1 12

West Hartford, Conn

2
1

30

West Palm Beach, Fla___

Wheeling. W. \a

4
3

4

.'57
17
15
5
84

7
40

105

74

White Plains, N.Y

2

2
4

3

76

Wilkes-Bane, Pa.._.
Wilmington, Del

3

2
4

12

102

380

Woodbridge Township,
N.J

84
218

York, Pa

2

136

Table 40. — Number of Offenses Known to the Police, 1961, Cities and Towns
25,000 and Over in Population — Continued

City

Cities 25,000 to 60,000 in
population

Alexandria, La

Aliquippa, Pa

Allen Park, Mich.

Alliance, Ohio

Alton, 111

Criminal
homicide

Murder

and iioii-
negligenl

man-
slaughter

Ames, Iowa

Amsterdam, N.Y..
Anchorage, Alaska-
Anderson, Ind

Anniston, Ala

Applet on, Wis...

Arcadia, Calif

Arlington, Mass

Arlington, Tex

Arlington Heights, 111

Ashland, Ky

Athens, Ga

Attleboro, Mass.

Auburn, N.Y

Aurora. Colo

Austin, Minn...

Baldwin Park, Calif.

Bangor, Maine

Barberton, Ohio

Bartlesville, Okla

Battle Creek, Mich.

Baytown, Tex

Belleville, 111

Belleville, N..I

Bellingham, Wash—

Belmont, Mass..

Beloit, Wis

Bergenfleld, N.J.

Bessemer, Ala

Beverly, Mass...

Beverly Hills, Calif-
Big Spring, Tex

Biloxi, Miss

Birmingham, Mich.
Bismarck, N. Dak..

Bloomington, 111..
Bloomington, Ind.

Boise, Idaho

Bossier City, La..
Boulder, Colo

Bowling Green, Ky
Braintree, Mass _
Bremerton, Wash...

Bristol, Conn

Brownsville, Tex...

Brvan, Tex .

Buena Park, Calif.
Burlington, Iowa..
Burlington, N.C...
Burlington, Vt

Man-
slaugh-
ter by
negli-
gence

Forci-
ble
rape

Rob-
bery

Aggra-
vated
assault

41
35
126

1
23

Incomplete

6
3

Hi)

20

2

7

73

7

59

1

1

1

18

10

4

Bur-
glary

break

Lng or

enter-
ing

332
97

111
95

200

54

13

328

L69

235

119
150
34

Larceny

thel'l

$50

44
33
124
71
52

45

16

230

149

119

68
302

27
237

76

I 'rider

$50

371
107
533

327

568

267
46
701
132
256

732
654
77
681
269

221

120

236

66

52

131

35

72

153

167

166

446

126

61

547

460

173

619

82

46

305

178

124

361

100

55

260

358

134

838

146

50

128

105

106

295

82

31

64

59

122

386

109

53

98

107

87

546

23

8

88

167

104

223

69

105

267

196

128

144

217

105

259

221

84

134

63

79

391

96

24

451

348

164

505

113

118

449

190

234

685

85

85

160

47

251

533

212

10S

345

82

189

122

153

01

752

84

59

193

499

177

992

152

24

202

297

124

485

119

22

370

lit)

92

408

101

57

454

137

Table 40. — Number of Offenses Known to the Police, 1961, Cities and Towns
25,000 and Over in Population — Continued

Criminal
homicide

Forci-
ble
rape

Rob-
bery

Aggra-
vated
assault

Bur-
glary—
break-
ing or
enter-
ing

Larceny-
theft

City

Murder
and non-
negligent

man-
slaughter

Man-
slaugh-
ter by
negli-
gence

$50
and
over

Under

$50

Auto

theft

Cities 25,000 to 50,000 in
population— Continued

Butte, Mont

2
1
2
2

5

2

21

46
2
«

42

2

17
6
5
6

32

16

6

1

15

7
5
8

23
34
14
5
62

41
12
4
2

67

.....

47

..

6
1
4

20

3

23

-----

13

62~

111

3

2

4
15

2

151
173
104
249
207

96
152
158
136
149

262

304

61

92

217

76
98

235
44

225

468
24

334
85

109

241
196
122
707
126

131
52
114
162

265

154
38
90
111
161

54

65

251

257

111

100
86

128
70

132

70
78
116
197
134

74
131
143

98
148

70
74
94
131
117

194
231

20
101

178

87
61

207
76

395

217
32

264
43

184

254
161
122
358
37

128
104
35
60
199

95
42
52
121
176

34

68

88

216

83

49
99

107
93

111

34
37
137
35
75

472
287
849
635
609

285
87
373
178
913

292
869
22
212
606

363
414
914
120
680

688
78
389
126
463

607
488
592
1, 161
230

407
243
177
396
702

278
104
238
194
410

337
335
228
516
359

209
349
144
249
455

115
136
376

57
550

165

Calumet City, 111

Carlsbad, N. Mex

Casper, Wvo..

1
1
1
2

1

2
._

1

86
126
56

Champaign, 111 .

70

Charlottesville, Va

28
101

Cheltenham Township, Pa.

2
1
3

1

3
.....

3

46

Cherry Hill Township, N.J.
Chevenne, Wvo

1
3

3

63

87

Chicago Heights. Ill

Chula Vista, Calif

70
91

Clarksburg, W. Va...

1

39

Clarkstown, N.Y

17

Clearwater, Fla._

1

3
2

45

Clinton, Iowa

27

Columbia, Mo ..

2

1

40

Concord, Calif..

6

111

Concord, N.H_ _ .....

25

Coral Gables, Fla

1

1

23
4

133

Costa Mesa, Calif

80

Cranford Township, N.J ..

.....

1
1

13

Culver City, Calif

Cumberland, Md.

2

48
3
8

21

23

2

21

177
24

Cuyahoga Falls, Ohio

Daly Citv, Calif

1

1

2

9
2
5
3

47
181

Danville, 111

2
3
3
1

40

Danville, Va

Daytona Beach, Fla

Decatur, Ala

38
113
34

Denton, Tex . ..

1

2
3
4
25
12

2

29

Des Plaines, 111

24

Dothan, Ala ..

3
3

49

East Cleveland, Ohio

East Detroit, Mich

.....
1

2
3

1

45
36

East Hartford, Conn

37

East Lansing, Mich.. .

9

Easton, Pa

1
1
2

1

3

3
2
3

3

6
_____

36

East Point, Ga

East Providence, R.I-.. .

2

68
73

Eau Claire, Wis

Edina, Minn .

1

38
37

Edison, N J

1

1

1
4

5
2

1

3
2

7

1

9

5
3
2
3
3

8
1
5
7
5

5
10

7

74

12

6

-----

2
4
4
7
4

64

El Cajon, Calif

El Cerrito, Calif ....

76
32

El Dorado, Ark

3

1

1

5

8

Elgin, 111

27

Elkhart, Ind

22

Elmhurst, 111

32

Elmira, N.Y...

1

23

Elyria, Ohio

1

1
2

36

Enfield, Conn

9

Englewood, Colo..

116

Englewood, N.J.

1

1

..

2

24

Enid, Okla

90

Table 40. — Number of Offenses Known to the Police, 1961, Cities and Towns
25,000 and Over in Population — Continued

City

Criminal
homicide

Murder
and non-
negligent

man-
slaughter

Man-
slaugh-
ter by
negli-
gence

Forci-
ble
rape

Rob-
bery

Aggra-
vated

assault

Bur-
glary—

break-
ing or
enter-
ing

Larceny-

theft

$50
and
over

Under
$50

Cities 25,000 to 50,000 in
population— Continued

Eureka, Calif

Everett, Mass...
Everett, Wash...
Fairfield, Conn..
Fair Lawn, N. J.

Fairmont, W. Va.
Fargo, N. Dak— .
Fayetteville, N.C.
Ferndale, Mich...
Findlay, Ohio

Fitchburg, Mass...

Florence, Ala

Florissant, Mo

Fond du Lac, Wis.
Fort Dodge, Iowa.

Fort Pierce, Fla

Framingham, Mass.
Freeport, 111

Freeport, N.Y

Fremont, Calif

Gainesville, Fla

Galesburg, 111

Gardena, Calif

Garfield, N.J

Garfield Heights, Ohio.

Garland, Tex

Gastonia, N.C

Gloucester, Mass

Goldsboro, N.C

Grand Forks, N. Dak.

Grand Island, Nebr.
Grand Prairie. Tex..
Granite City, T1L.._

Greeley, Colo

Greenville, Miss

Gulfport, Miss

Hackensack, N.J..
Hagerstown, Md._

Hamden, Conn

Hamtramck, Mich.

Harlingen, Tex

Harvey, 111

Hattiesburg, Miss.
Haverhill, Mass...
Hawthorne, Calif..

Hazel Park, Mich

Hazleton, Pa

Hempstead, N.Y

Highland Park, 111 .

Highland Park, Mich.

Hilo, Hawaii

Hobbs, N. Mex...

Hoboken, N.J

Hollywood, Fla...
Hot Springs, Ark.

130
216
309
220
140

Incomplete
1

1
5

Incomplete

4

3
13

7

25

131
1

129
63

116

205
107

494
183
1,011
331
211

Incomplete

2

4

2

118

101

526

12

16

218

215

22

907

4

16

9

175

119

459

1

3

1

55

54

429

2

4

3

197

108

358

51

70

267

105

47

486

92

69

373

176

132

195

85

42

210

194

48

91

420

186

875

215

87

702

118

89

325

295

476

689

42

71

118

65

16

166

182

113

224

141

85

464

63

24

67

240

93

304

118

54

607

126

103

353

265

158

489

173

50

472

113

126

515

92

55

348

136

82

210

167

102

170

211

60

464

89

84

180

382

228

605

301

155

592

68

145

260

296

80

261

238

92

260

530

336

507

182

66

652

32

80

150

201

149

137

74

100

190

595

403

1,021

135

34

246

234

142

391

342

100

112

301

214

669

193

181

293

139

Table 40. — Number of Offenses Known to the Police, 1961, Cities and Towns
25,000 and Over in Population — Continued

City

Cities 25,000 to 50,000 in
populat ion — Contin ued

Huntington Park, Calif.-.

Hutchinson. Kans

Idaho Falls, Idaho

Inkster, Mich

Iowa City, Iowa

Irving, Tex

Ithaca, N.Y

Jackson, Tenn___
Jamestown, N.Y.
Janesville, Wis...

Jefferson City, Mo

Johnson City, Tenn...

Joplin, Mo

Kankakee, 111

Kannapolis, N.C

Kearny, N.J

Key West, Fla__.
Kingsport, Tenn.
Kingston, N.Y_.
Kings ville, Tex..

Kirk wood, Mo

Kokonio, Ind

Lackawanna. N.Y

La Crosse, Wis

Lafayette, Ind

Lafayette, La_...
La Habra, Calif-
Lakeland, Fla...
La Mesa, Calif. .
Lancaster, Ohio.

Las Cruces, N. Mex.

Laurel, Miss

Lawrence, Kans

Lebanon, Pa

Leominster, Mass. .

Lewiston, Maine .
Lexington, Mass.

Linden, N.J

Lockport, N.Y...
Long Beach, N.Y

Long Branch, N.J

Long view, Tex

Lynwood, Calif

Madison Heights, Mich-
Manhattan Beach, Calif.

Manitowoc, Wis

Mansfield, Ohio

Maple Heights, Ohio.

Marietta, Ga

Marion, Ind

Marion, Ohio

Mason City, low;
Massillon, Ohio..

Maywood, 111

McAUen, Tex....

Criminal
homicide

Murder
and non-
negligent

man-
slaughter

Man-
slaugh-
ter by
negli-
gence

Forci-
ble
rape

1 '

3 I

Rob-
bery

Aggra-
vated
assault

4 I 3

Incomplete

Bur-
glary—
break-
ing or
enter-
ing

389

93

181

382

202
75

217
97

106

107
299
272
157
85

113
112
64
110

50
172
142
147
181

131
126
339
182
139

196

178
105
50
115

151
97

184
95

168

Larceny-
theft

$50
and
over

241

25

72

205

102

143

102
127
23
74

104
66
43

51
85
31
85
35

174
54
96

185

70
116
157
112
103

195
71

194
18
70

61

55
134

51
251

37

Under
$50

700
401
1.151
612
166

726
357
388
45
370

207
362
361
337
255

134
51
398
199
262

222
586
117
517

777

188
330
468
343
417

467
293
590
246
296

410
139
332
215
423

395

255

417

166

74

404

437

173

482

74

47

337

356

193

721

59

50

184

143

94

587

144

85

505

132

202

473

56

60

225

160

116

255

162

121

235

55

12

359

no

Table 10.-

-Number of Offenses Known to the Police, 1961, Cities and Towns
25,000 and Over in Population — Continued

Criminal
homicide

Forci-
ble
rape

Rob-
bery

Aggra-
vated
assaull

Bur-
glary

break-
ing or

enter-
ing

Larceny
theft

City

Murder

and non-
negligent

man-
slaughter

Man-
slaugh-
ter by
negli-
gence

$50
and
over

Under

$50

Auto
lliel't

Cities 25,000 to 50,000 in
population — Continued

McKeesport, Pa_.

Melrose, Mass

Menlo Park, Calif

l
.....

7

.....

o

l
.....

5

36

""16"

3

7

2
12
9
2
13

3

18
1
12
56
9

3
2
2
6

8

206

69

96

221

236

27
180
143

86
325

89

51

219

123

111

30
57
93
139
594

173
338
173
512
302

123

46

18

302

155

177
73

299
60

116

125
222
175
176
74
247

140
93

575
58

113

34

198

242

97

46

79

49
95
102

44

124
30
59
87

227

49
50
79
70
194

87
44
137
160
51

21

77
140

98
150

123
141
141
174
261

180

63

13

192

104

112
59

169
36

200

189
365
120
165
24
91

105

97

503

178

66

20

116

241

43

51

65
33
97
156
24

265
204
153
420
520

147
113
328
239

638

144
576
432
371

' 78

9
274
524
736

1,685

441
389
230
740

452

714

124

40

894

624

525
116
766
62
547

592
510
249
176
173
346

200
277
897
545
139

88

133
655

82
105

156
58
319
576
189

97
34
40

Meridian, Miss _

41

Mesa, Ariz.. - .. .

104

Mesquite, Tex

Methuen, Mass .

2

8
61

Michigan Citv, IncL-_ . .

4
2

..

45

Middletown, Conn

1

9

2!)
110

Middletown Township,
N.J

9
2
2

20

Midland, Midi

28

Midwest City Okla

3

1
1

1

9
3

1

1

1

7

21

38

14

3

27

18

7

1
5

..

6
60

1
53

7

18
11

6

43
62

Milford Town, Conn,

Milton, Mass.

39

Minne tonka, Minn _

9

Minot, N. Dak

44

2

5

1
4

51

Missoula, Mont--.

SO

Modesto, Calif--.

4

1

2
1
1

1

2

140

Moline, 111.. .

52

.....
.....

2

2

7
3

1

77

Montelair, N.J.

87

Montebello, Calif.-.

193

Monterey Park, Calif

Mountain View, Calif

Mount Lebanon Town-
ship, Pa .. ._

84

69

5

Mount Pleasant, N.Y__.

1
14

6

1

1

19

28"
18

4

""16"

Muskegon, Mich

Muskogee, Okla

Nashua, N.TI.

4

1

2

3
2

2
4

.....

6

77
100

36

Natiek, Mass .

17

National Citv, Calif

117

Needham, Mass ...

15

New Albany, Ind

2

1

1
2
1

4

14
24
14
1
2
3

23
13
11
5
6

2

3
144
53

---

16

6
15
12

1
32

1

12

1

.....

1

69

Newark, Ohio

108

New Brunswick, N..T

Newburgh, N.Y

2
3

2

143
53

New Castle, Pa

41

1

1

7

50

Newport, Ky

Newport, R.I.

2

1

1

107
94

Newport Beach, Calif

2

3

1
1

81

40

Norristown, Pa

Northampton, Mass

3

1

59
14

North Bergen Township,
NJ .

1
1

2
.....

1

11

29
1
3

4

71

North Miami, Fla...

1

98

North Tonawanda, N.Y _.

10

Norwich, Conn . .

1

27

69

Nutley, N.J ..

19

6
17

11

42

Oak Park, Mich ..

2
2

1

31

Oak Ridge, Tenn

9

141

able 40. — Number of Offenses Known to the Police, 1961, Cities and Towns
25,000 and Over in Population — Continued

City

Cities 25,000 to 50,000 in
population — Continued

Ontario, Calif

Orange, Calif

Orange, N.J

Orange, Tex

Oshkosh, Wis

Ottumwa, Iowa

Owensboro, Kv

Oxnard, Calif..

Paducah, Ky

Panama City, Fla.

Parkersburg, W. Vi
Park Forest, 111....
Park Ridge, 111....
Peabodv, Mass..—
Pekin, ill

Pennsauken, N.J.-
Perth Amboy, N.J

Petersburg, Va

Phenix City, Ala..
Pine Bluff/ Ark....

Criminal
homicide

Murder
and non-
negligent

man-
slaughter

Plainfiekl, N.J

Pocatello, Idaho...
Port Huron, Mich.
Portsmouth, N.H.
Portsmouth, Ohio.

Pottstown, Pa

Poughkeepsie, N.Y..
Prairie Village, Kans

Prichard, Ala

Provo, Utah

Quincy, 111

Rahwav, N.J

Rapid City, S. Dak ...

Redlands, Calif

Redondo Beach. Calif.

Redwood City, Calif

Revere, Mass

Richfield, Minn

Richmond, Ind

Ridgewood, N.J

Ridley Township, Pa._

Rochester, Minn

Rock Hill, S.C

Rockville Centre, X.Y
Rocky Mount, N.C...

Rome, Ga

Roswell, N. Mex

St. Cloud, Minn

St. Louis Park, Minn.
Salem, Mass

Salem, Oreg

Salina, Kans

Salinas, Calif

San Bruno, Calif.
Sandusky, Ohio.

Santa Cruz, Calif.

Santa I'Y, \. Mex
Santa Rosa, Calif.

Sarasota, Fla

Selma, Ala

Man-
slaugh-
ter by
negli-
gence

Forci-
ble
rape

Rob-
bery

Aggra-
vated
assault

15
120

in
22

13
13

7

1

20

27

Bur-
glary—
break-
ing or
enter-
ing

Incomplete
2 1

365
166
176
117
154

116
341
262
377

310
26
63
107
146

209
252
168
74
262

230
191
177
70
237

38
127
56

Larceny-
theft

$50
and
over

240
94

106
39

95

58
212
215

73
120

58
38

44
59

L02
L38

44
52
91

171
L83
16
40
198

21

1(14

Under
$50

817
199
287
103
638

326
607
774
619
379

289
441
138
287
347

263
291
346
100
310

435
807
711
103
673

51
343
118

61

64

805

176

173

213

114

69

281

226

394

1,154

143

156

353

621

335

846

291

216

538

139

78

141

115

88

310

226

137

538

60

13

99

66

32

126

86

92

398

237

62

394

81

152

103

125

71

354

191

54

181

178

392

778

70

100

600

127

172

364

233

28

264

257

226

1. 187

141

152

808

257

189

602

149

65

417

142

104

398

155

104

518

249

194

488

104

105

535

241

117

549

262

49

367

142

Table 40. — Number of Offenses Known to the Police, 1961, Cities and Towns
25,000 and Over in Population — Continued

City

Cities 25,000 to 50,000 in
population — Continued

Shaker Heights, Ohio
Sharon, Pa

Sheboygan, Wis

South Euclid, Ohio...
Southfleld, Mich

Southgate, Mich

South San Francisco, Calif.
Spartanburg, S.C

Springfield Township, Pa..
Steubenville, Ohio

Stratford, Conn

Superior, Wis

Tallahassee, Fla

Taunton, Mass

Teaneck Township, N.J.

Temple, Tex

Texarkana, Tex

Texas City, Tex

Torrington, Conn

Upper Arlington, Ohio-

Urbana, 111

Valdosta, Ga

Vancouver, Wash.

Ventura, Calif

Vicksburg, Miss._

Vineland, N.J

Wallingford, Conn

Waterford Township,

Mich

Watertown, Mass

Watertown, N.Y

Waukesha, Wis

Wausau, Wis

Webster Groves, Mo.

Weirton, W. Va

Wellesley, Mass

Westfield, Mass

Westfleld, N.J

West Haven, Conn.
West Mifflin, Pa__.
Westminster, Calif-

West New York, N.J

West Orange, N.J

Weymouth, Mass

Whittier, Calif

Wilkinsburg, Pa

Williamsport, Pa.

Wilmette, 111

Wilmington, N.C.

Wilson, N.C

Woburn, Mass

Woonsocket, R.I_.
Wyandotte, Mich.
Wyoming, Mich..
Yakima, Wash...
Zanesville, Ohio..

Guam: Agana

Isthmus of Panama:
Canal Zone

Criminal
homicide

Murder
and non-
negligent

man-
slaughter

Man-
slaugh-
ter by
negli-
gence

Forci-
ble
rape

Rob-
bery

16

Aggra-
vated

assault

24

1
Incomplete

Bur-
glary
break-
ing or
enter-
ing

Incomplete

9

4

2

11

3

11

11

3

12

10

2

2

2

1

1

4

11

1

2
4
Incomplete

3

2

161

91

1

7
4
4

50
3

117
55
55
38

272

94
232
364

62

Larceny
theft

$50
and
over

48

48

85

65

302

185
136

58
317

83

192

78
236
136

126
241
122
262
221

209

203
173

Under
$50

67
44

100
32

131

91
94

78
153

97
117
143

72
53

128
103
93
241
121

95

148

455
234
539

510
263
685
206

3

2

167

121

224

6

1

119

55

591

10

36

145

64

363

4

6

264

87

311

4

3

149

98

222

15

62

399

80

846

133

91

468

68

29

116

32

29

94

94

78

324

100

67

181

115

63

235

275

147

476

84

46

155

89

35

243

129

120

274

368

271

624

141

69

170

138

81

279

44

44

233

62

43

485

83

50

189

165
159
298
52
368

200
246
119
439
210

472
469
566
348
131

210
1,019

438
1,697

212
793

143

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