Uniform crime reports for the United States

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CRIME

I IN THE UNITED STATES

ISSUED BY

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

UNIFORM CRIME REPORTS-1963

FOR RELEASE

Monday, P.M., July 20, 1964

PRINTED ANNUALLY

UNIFORM

CRIME

REPORTS

for the United States

PRINTED ANNUALLY— 1963

Advisory: Committee on Uniform Crime Records
International Association of Chiefs of Police
Edward M. Toothman, Chief of PoHce
Oakland, California, Chairman

J. Edgar Hoover, Director, Federal Bureau of Investigation
U.S. Department of Justice, Washington, D.C., 20535

Contents

Page

Preface vii

Crime factors ix

Summary 1

Crime Index totals 2

Crime and population 3-6

Criminal homicide 6-8

Aggravated assault 8-12

Forcible rape 12-13

Kobbery 13-15

Burglary 15-18

Larceny 1 8-22

Auto theft 22-23

Persons arrested 23-27

Persons charged 27-28

Careers in Crime 28-32

Police employee data 32-37

Introduction 38-45

The index of crime, 1963 46-86

United States, 1963 (table 1) 47

United States, 1962-63, by geographic divisions and

States (table 2) 48-51

States (table 3) 52-66

Standard metropolitan statistical areas (table 4) 67-86

General United States crime statistics, 1963 87-102

Crime trends, 1962-63, by population groups (table 5) 88-89

Crime rates, by population groups (table 6) 90-91

City crime trends, 1963 versus average of 1958-62 (table

7) 92

Offenses known, cleared by arrest, by population groups

(table 8) 93-94

Offenses known, cleared by arrest, by geographic divisions

(table 9)____ 95-96

Disposition of persons formally charged by the police

(table 10) 97

Offenses known, cleared; persons arrested, charged and

disposed of (table 11) 97

HI

General United States crime statistics, 1963 — Continued Page
Police disposition of juvenile offenders taken into custody

(table 12) 98

Monthly variations (table 13) 99

Offense analysis, trends 1962-63 (table 14) 100

Type and value of property stolen and recovered (table

*^15) - - 101

Value of property stolen, by type of crime (table 16) 101

Murder victims — weapons used (table 17) 101

Murder victims by age, sex and race (table 18) 102

Arrests 103-127

Number and rate by population groups (table 19) 104-105

Total arrests by age groups (table 20) 106

Total arrest trends, 1962-63 (table 21) 107

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

(table 22) 108

Total arrests, distribution by sex (table 23) 109

Total arrest trends by sex, 1962-63 (table 24) 110

Total arrests by race (table 25) 111

City arrests by age groups (table 26) 112

City arrest trends, 1962-63 (table 27) 113

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

(table 28) 114

City arrests, distribution by sex (table 29) 115

City arrest trends by sex, 1962-63 (table 30) 116

City arrests by race (table 31) 117

Suburban area arrests by age group (table 32) 118

Suburban arrest trends, 1962-63 (table 33) 119

Suburban arrests of persons under 18, under 21 and under

25 (table 34) 120

Suburban arrests, distribution by sex (table 35) 121

Rural arrests by age group (table 36) :. 122

Rural arrest trends, 1962-63 (table 37) 123

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

(table 38) 124

Rural arrests, distribution by sex (table 39) 125

Suburban and rural arrest trends by sex (table 40) 126

Suburban and rural arrests by race (table 41) 127

Police employee data 128-154

Full-time police employees, number and rate (table 42) .129-130

Civilian employees, percent of total (table 43) 131

Police officers killed (table 44) 132

Assaults on police officers (table 45) 133

IV

Police employee data — Continued Page

Full-time State police employees and State police killed

(table 46) 133

Police employees in individual cities (tables 47 and 48) _ 134-154
Offenses in individual areas 25,000 and over by population

groups (table 49) 155-170

Preface

Criminal acts for statistical reporting arc broadly defined and,
as a result, the tabulations published herein encojnpass the whole
spectrum of criminal behavior. However, the more we categorize
and identify specific types of criminal acts and criminal })ehavior the
better we are able to understand the total crime problem and the
means to control it.

In reviewing the data presented, keep in mind the basis of our
civilized society is law and order. Crime and criminals violate
this principle. In their role of defending and preserving our way
of life, the police daily face the crime challenge at the scene. From
the vicious killer to the first-time petty thief, the derelict drunk,
youth offender, professional thief, corruption and riot — the police
have firsthand knowledge of what these crime counts represent.
Social disorder may generally describe the wide range of criminal
activity, but the police who witness criminal behavior and observe
its victims and depredations conclude more realistically the problem
is better defined as man's inhumanity to man.

Law enforcement, because of its primary function, is acutely aware
of an element in the crime problem which is all too frequently over-
looked or disregarded. Statistics herein are published in terms of the
number of crimes reported and persons arrested. At the same time,
they also represent a count of the millions of victims. While some of
these victims may have been ''merely inconvenienced," the vast
majority suffered property losses they could ill afford and many lost
their physical or mental health while others lost their lives. Never-
theless, many impassioned and articulate pleas are being made today
on behalf of the offender tending to ignore the victim and obscuring
the right of a free society to equal protection under the law.

If we are to reverse our national crime trend, the average citizen
must have a better comprehension of its cost in human suffering and
economic loss. We are all directly involved, yet to some the problem
seems remote despite a rapidly rising victim risk rate. Law enforce-
ment in performing its duty of preserving law and order and pro-
tecting life and property merely asks that each law-abiding citizen
recognize his responsibility by reducing the opportunity for crime, by
providing positive assistance to police and by keeping the total crime
problem in proper perspective.

cj-^r

John Edgar Hoover, Director.

^m

^W; :^9^K9ll^<

Crime Factors

Uniform Crime Reports give a nationwide view of crime based on
police 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 against
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.

Suininary

{This section is for the reader interested in the general crime picture.
Technical data, oj interest 'primarily to police, social scientists, and
other students, are presented in the following sections. Ij you wish
assistance in the interpretation of any information in this publication,
please communicate with the Director, Federal Bureau of Investigation,
U.S. Department of Justice, Washington, D.C., 20535)

Crime Capsule

More than two and one-quarter million serious crimes were reported
during 1963. A 10 percent rise over 1962.

* * *

National crime rate: 12 serious offenses per 1,000 inhabitants in
1963. Nine percent rise in rate over 1962. Since 1958 crime has
increased 5 times faster than our population growth.

* * *

Four serious crimes occurred each minute during 1963.

* * *

Firearms used in 56 percent of all murders and 13 percent in all
assaults to kill.

Street robbery which constituted 53 percent of all robbery offenses
has increased 22 percent since 1958.

* * *

Almost one million burglaries reported in 1963. Retail stores
and other nonresidences accounted for 55 percent of these crimes.
Ninety-one percent of all nonresidence burglaries occurred at night.

* * *

Property stolen in 1963 valued in excess of $785 million. Average
value per robbery $276, burglary $211, larceny $82, and auto theft
$927. Stolen property loss cut to 46 cents on each dollar by police

action.

* * *

In last 6 years shoplifting offenses increased 81 percent, thefts

from person 26 percent.

* * *

Almost 400,000 cars stolen in 1963 with value in excess of $369
million. Ninety-one percent recovered by police.

* * *

Eighty-eight police killed in line of duty, 55 were murdered as a
result of criminal action in 1963. Eleven police officers per 100 were
assaulted during course of duty.

1

Careers in crime: A special study initiated this yeav and reported
on in this pubHcation sets forth some of the characteristics of a
persistent felon. Although this is only a preliminary report, it is
expected that further development of such criminal career records
will be of great value to the law enforcement officer and the student
of crime.

Crime Index Totals

In calendar year 1963 an estimated total of 2,259,100 crimes of
murder and nonnegligent manslaughter, forcible rape, robbery,
aggravated assault, burglary, larceny $50 and over, and auto theft
occurred in the United States. These crimes represent the index to
criminality in this country and are tabulated on the basis of counts
made by law enforcement agencies as the offenses become known to
them. Each of these offenses registered an increase over 1962 and,
as a group, they represent a 10 percent increase in the Crime Index
over 1962.

Crimes against property — robbery, burglary, larceny $50 and over,
and auto theft — are the offenses with the highest frequency and
contributed 92 percent to the total Crime Index volume. These
offenses when grouped registered an 11 percent increase in 1963.
Crimes against the person — murder and nonnegligent manslaughter,
aggravated assault and forcible rape — make up the remaining 8 per-
cent of the Index offenses and when considered together had a 5 percent
increase over 1962.

In general, the crime increase was consistent in all cities when
grouped by population size and ranged from 6 percent in cities with
over one million population to 14 percent in cities in the 50,000 to
100,000 population group. The average increase for all cities was 10
percent while suburban areas had a 13 percent rise and the rural
areas a 7 percent upward trend. Geographically, there were increases
in all divisions with the sharpest upswing occurring in the South
Atlantic States.

Estimated number of
offenses

Change 1963

Crime index classification

1960-62
average

1963

Over 3-year average

Over 1962

Number

Percent

Number

Percent

Total

1, 946, 500

2. 259. 100

+312, 600

+16

+208, 500

+10

Murder..

8,660
16, 100
93, 210
134, 500
854, 600
505, 000
334, 400

8,500
16, 400
100, 160
147, 800
975, 900
611,400
399, 000

-150

+300

+6, 940

+13. 200

+ 121.200

+ 106.400

+64. 600

-2
+2
+7
flO
+14
+21
+19

+100

+90

+4, 900

+8, 100

+83, 100

+71,500

+40, 600

+1

Forcible rape.

+1

Robl^ery

+5
+6
+9

Aggravated assault ..

Burglary.. ... . ..

+13
+11

Auto theft

Set fortli above are 1963 estimated crime figures for the country
as a whole. During this year the nationwide crime trend was 16
percent above the average experience for the 3-year period 1960-1962.
Larceny $50 and over had the sharpest increase over the 3-year aver-
age, followed closely by auto theft and burglary. The only Index
crime to show a decrease was murder and nonnegligent manslaughter.

Crime and Population

Our national population grew one and one-half percent during 1963.
When our national population was related to the volume of crime, a
rate of 1,198 serious offenses per 100,000 inha})itants was established.
This was a 9 percent rise hi the crime rate over 1962. Since 1958
crime has increased five times faster than our population growth.
The crime rate considers only the numerical factor of population and
not the many other elements that contribute to the causation and
amount of crime in any particular locale. The statistical tables in sub-
sequent sections of this publication disclose that crime experience in
large cities and the metropolitan complex is much greater due to
many involved factors and not simply because of numerical population
differences.

Crime index classification

Total

Murder

Forcible rape

Robbery

Aggravated assault.,-

Burglary

Larceny $50 and over
Auto theft

Crimes per 100,000 inhabitants

Rate 1963

1, 198. 3

4.5

8.7

53.1

78.4

517.6

324.3

211.6

1963 percent change

Over 1962

+9

-1

+4

+4

+8

+ 12

+ 10

Over 3-year
average

+12

-4
-1

+4

+7

+ 11

+ 17

+ 16

As shown above the 1963 crime rate was 12 percent higher than the
average rate for the period 1960 through 1962. The property offenses
of burglary, larceny $50 and over and auto theft are continuing to
grow at a pace which exceeds our population increases by a wide mar-
gin. The rates for murder and forcible rape remained at about the same
level as in 1962, but the rates for aggravated assault and robbery in-
creased 4 percent over 1962. Generally, the states which are reporting
the highest crime rates are those which have the fastest growing
population.

The following charts graphically portray the trend in serious crimes
from 1958 through 1963. These show the percent increase in the
volume of crime, the trend in the crime rate for the country as a

CRIME AND POPULATION

1958-1963

PERCENT CHANGE OVER 1958

+ 40

+ 30

20

+ 10

\ \ \ \ ^

I
I
i
i
I
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/
/
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i /
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/ /
/ /
/ /
/ /
/ /
/ /
/ /
/ /

-'■-"/

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Crime
p40%

J Crime Rate
^ up 30%

\

Population
up 8%

1958 1959 I960 1961 1962 1963

CRIME = INDEX OF CRIME OFFENSES

CRIME RATE = NUMBER OF OFFENSES PER 100,000 POPULATION

FBI CHART

Chart 1

CRIMES OF VIOLENCE

1958-1963
PERCENT CHANGE OVER 1958

+ 40

+ 30

+ 20

+ 10

__^X I I

S

VIOLENT
CRIME
UP 22%

J RATE

^ UP 12%

1958 1959 1960 1961 1962 1963

LIMITED TO MURDER, FORCIBLE RAPE, ROBBERY, AND AGGRAVATED ASSAULT

Chart 2

FBI CHART

+ 40

+ 30

+ 20

+ 10

CRIMES AGAINST PROPERTY

1958-1963
PERCENT CHANGE OVER 1958

\ \ \ \ ^

/

/
/
JL _^

</

//-

//
//

PROPERTY
CRIME
UP 43%

<^

RATE
UP 32%

1958 1959 1960 1961 1962 1963

LIMITED TO BURGLARY, LARCENY $50 AND OVER, AND AUTO THEFT

Chart 3

FBI CHART

5

whole and the actual increase in our national population. Separate
charts are presented setting forth the six-year experience for the crimes
of violence and the property crimes. Arrest data beginning on
page 103 provides information on other types of crimes as well as the
seven offenses mentioned above.

Criminal Homicide

The number of willful killmgs in 1963 remained at about the same
level recorded in the previous year or 8,500 victims. Similarly since
1958, there has been little change in the murder rate. When exam-
ined over a longer period of time, we find the urban murder rate of
the early 1930's w^as over 40 percent higher than that recorded in
the early 1960's. Generally, this is a crime that cannot be controlled
by law enforcement since most of it occurs beyond the reach of pre-
ventive patrols, although the police cleared up 91 percent of the
murders by arrest of the offender during 1963. The reduction of the
murder rate since the 1930's may well be the result of improved police
service bringing quicker medical attention for the victim and at the
same time improved medical treatment. The serious assault rate
during these periods in American cities increased over 50 percent,
indicating the victim remains an assault statistic rather than becoming
a murder statistic.

Murder has its highest seasonal incidence during the summer
months and in 1963 reached a peak in September. This was consistent
in city, suburban and rural areas with the rural areas showing the
sharpest seasonal pattern. During the 10-year period prior to 1963,
December has invariably been the peak month for this offense or it
was substantially above the annual average. However, in 1963
murder in December was 4 percent below the annual average. The
last time this occurred was in 1953. Murder per unit of population
was highest in the Southern States and large American cities. The
murder rate in the cities over 250,000 population in 1963 was 7.9
victims per 100,000 population. This was over twice the rate in
the rural and suburban areas.

Nationally in 1963, 31 percent of the willful killings occurred within
a family unit and 51 percent resulted from altercations outside the
family but usually among acquaintances. Of the 8,500 willful killings
in 1963, 12 percent or almost 1,100 could be identified as felony murder;
i.e., the victim was killed by a robber, sex offender or other felon.
The remainder, another 5 percent of the murders, occurred under such
circumstances that a specific motive was not determined at the time
reported. Breaking down these figures further, spouse killing spouse
made up 53 percent of the family situations and parents killing
children 17 percent, while the reverse circumstances accounted for

6 percent. Murders among other family relatives comprised 24
percent of the total in this category. In killings outside of the family,
lovers' quarrels were identified in 17 percent, drinking situations 14
percent, quarrels over money or property 5 percent and revenge 4
percent. The vast majority in this category were the result of im-
pulsive rage involving a wide range of altercations, such as arguments
over a cigarette, ice cream, noise, etc.

A fu-earm was used in 56 percent of the willful killings, a knife or
cutting instrument 23 percent, personal weapons 9 percent, blunt
objects 6 percent and the remainder other weapons or type of weapon
unknown. The use of a firearm as a weapon was tip 4 percent over
1962. The use of weapons in murder varies by geographic region,
city, suburban and rural areas. In 1963 firearms accounted for 53
percent of the murder in American cities, 62 percent in the suburban
area and 68 percent of the rural area. By region, a firearm was used
in 37 percent of the killings in the Northeast, 53 percent in the
Western States, 56 percent in the North Central States and 64 percent
of the murders in the Southern States.

The easy accessibility of firearms and the lethal nature of a gun
are clearly apparent in these murder figures. When assaults by
type of weapon are examined, a gun proves to be seven times more
deadly than all other weapons combined. Over 60 percent of the
willful killings within the family unit, 31 percent of all murders, were
committed with firearms. In this category the lowest incidence of a
firearm used as a murder weapon involved parents killing children.
A gun was used in these situations in 29 percent of the fatalities.
However, examining these deaths more closely we find that for
victims under 5 years of age a gun was used in 13 percent of the killings.
For victims over 5 years of age a gun was used in 62 percent of the
incidents. It is reasonable to assume that just as many attacks were
made on the older children with other weapons but these percentages
suggest the lethal nature of a gun. Likewise, in altercations outside
of the family where victim and assailant were for the most part
acquainted, a gun was used in 57 percent of the killings. Within this
group, such as lovers' quarrels, a gun was used in 66 percent of the
murders, drinking situations 54 percent, altercations over money and
property 67 percent and revenge 76 percent. Felony murder was 44
percent by gun. This proportion was infiuenced downward by the
number of sex killings which concluded w^ith the use of a gun in only
16 percent of the incidents. Otherwise, the vast majority of felony
murder was by gun.

Victims of murder were ahnost 3 to 1 male, and 49 percent of the
victims in 1963 were between 20 and 40 years of age. Females were
victims in 74 percent of the killings which were identified with a sex

732-688°— 64-

motive and 55 percent of the murders where husband and wife were
involved. Males were more frequently the victims in all other
categories.

Arrests for murder on the average fell into the 20-29 year age group.
Although the male was arrested almost 5 times more often than the
female for murder, on the basis of all criminal charges for which each
sex is arrested, females were more often arrested for murder and serious
assault than the male. About 19 percent of the arrests for murder
iavolved persons under 21 years of age. Over half the persons
arrested for murder and over half the victims of murder were Negro.
Of the persons arrested for these willful killings, 77 percent were
charged with murder. Of those charged with murder, 44 percent
were found guilty of the crime charged, 23 percent of some lesser
charge and 27 percent were acquitted or dismissed. In 1963, 6
percent were referred to juvenile court.

In this Program, manslaughter due to gross negligence is also
collected as an offense known to the police. In 1963 manslaughter
by negligence was 12 percent above the average experience for the
prior years 1958 through 1962. These deaths were primarily due to
traffic, but also included hunting fatalities where negligence was
involved. For the country as a whole, this offense follows a very
definite seasonal pattern with a sharp upturn during the faU of the
year reaching a peak lq December. In 1963, however, the rural
areas showed the summer as the high frequency months for this
offense, while the cities and suburban areas followed the national
trend. The police cleared up by the arrest of the offender over 80
percent of these crimes in 1963; however, for every 100 persons
formally charged only 41 percent were found guilty of manslaughter
by negligence. Forty-two percent of the cases were acquitted or
dismissed. Arrests for manslaughter were 10 to 1 male while the
high incidence age group was 20-24. Nationally, there were 4
victims of negligent manslaughter per 100,000 population.

Aggravated Assault

This offense during the calendar 3'ear 1963 increased 6 j^ercent over
1962. There were an estimated 147,800 serious assaults with intent
to kill or commit serious injury in 1963. The aggravated assault
rate nationally has increased 16 percent since 1958. There were 78
victims of serious assaults for each 100,000 population in the United
States in 1963. Past surveys have shown that this crime is similar
to murder in that about two-thirds of the offenses involved persons
within the same family unit or the victim and assailant were other-
wise acquainted.

During the year 1963, the seasonal variation followed the usual
pattern; namely, high in the summer months reaching a peak in

August. Rural and suburban areas generally followed the cities — -
except for sharp increases above the annual average in December.

Geographically, the aggravated assault rate was highest in the
Southern States and in our large population centers. The average
serious assault rate per unit of population in the 54 cities with over
250,000 population was almost five times greater than recorded in the
suburban and rural areas. These crimes usually occur beyond the
reach of police patrol, but in 1963 police nationwide cleared up 76
percent by the arrest of the offender. Police arrests for aggravated
assault also increased 4 percent during the past year. Arrests for
persons under 18 years of age increased 10 percent while adult arrests
were up 3 percent. )

Arrests for this offense by sex were more than 6 to 1 male. The
high arrest rate age group was 20-24 years. Persons under 18 years
of age represented 14 percent of the total arrests for this offense
nationally and while this is consistent in city and suburban areas,
the rural area reported only 6 percent of the arrests under 18 years
of age. Since weapons are generally used in this crime, it should be
noted that the rural area arrests of young persons for carrying and
possessing dangerous weapons was likewise substantially lower when
compared to city and suburban areas.

Prior surveys have established the ratio of the types of weapons
used in aggravated assault to be: knife or other cutting instrument 44
percent, firearms 13 percent, blunt object 24 percent, personal weapons
12 percent and the remainder miscellaneous, such as explosives, acid,
motor vehicles, etc. During the first three months of 1964 police
reports on monthly crimes indicated that this distribution of weapons
used in assaults continues. Applying the 13 percent firearms to the
total 147,800 aggravated assaults in 1963, it is reasonable to estimate
that there were over 19,200 attacks with a gun in which the victim
survived.

Primarily because of the relationship between the assailant and the
victim there is comparatively little prosecution for this offense. Four-
teen percent of the persons arrested for aggravated assault were not
formally charged, usually because the victim refused to prosecute.
Of those persons formally charged, 37 percent were acquitted or dis-
missed, 22 percent found guilty of a lesser charge and only 27 percent
found guilty as charged. Another 14 percent of the cases were referred
to the juvenile court.

A count of simple or minor assault is collected on the basis of
police arrests for this offense. This less serious criminal act is not
considered in computing the Crime Index. Nationally, in 1963 there
were 145 arrests for minor assault per 100,000 inhabitants. It is one
of the more frequent reasons for police arrests. The highest arrest

9

CRIMES

KEY: 1958-1962 MOVING AVERAGE

AGAINST THE PERSON

+ 30%

MUnD£ll

+ 20%

+ 10%

^

^r^

-«*<^

^

- — — ^
/

ANNUAL

AVERAGE

..;y^

C"*"*"""-^

^-

"■«.-

■*p»

*.^^^

- 10%

X

— 90%

jr. ,

)f

-30%

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

+ 30%
+ 20%
+ 10%

ANNUAL

:MAI^SLAU0HfiR

7

>k

f ]

^.^

A

\

AVERAGE

— 10%

—y^y^

*i^

V.

>

/

^-.''

-20%

-30%

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

+ 30%
+ 20%
+ 10%

ANNUAL

AVERAGE

- 10%

-20%

-30%

ratciBii mm

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

+ 30%

+ 20%

+ 10%
ANNUAL

A0GIIAVATiO
ASSAULT

AVERAGE

- 10%

~20%
-30%
10

Chart 4

BY MONTH

VARIATIONS FROM 1963 ANNUAL AVERAGE

AGAINST PROPERTY

+ 30%

+ 20%

+ 10%
ANNUAL

i^OBBEIW ^

^ '•^^

/^ /

^"-^

^yy'

AVERAGE

^.^^^^^Trt?^?::^''

— 10%

^^^— rr:— ''

-30%

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

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

+ 20%

-20%

30%

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

+ 30%

+ 20%

FBI CHART

Chart 4

11

rates for this offense occur in the largest cities where there is greater
density of population and social disorder.

Nationally, arrests for simple assault increased 7 percent 1963 over
1962. Adult arrests were up 5 percent and persons under 18, 24
percent. Greater arrest activity for this offense was recorded in
cities, suburban and rural areas. While the great volume of these
arrests were male, the trend in female arrests for this offense both
young and old was similar to the male. For each 100 persons charged
with simple assault, 53 percent were found guilty as charged, 4
percent of a lesser offense, 9 percent were referred to juvenile court,
and 34 percent acquitted or dismissed.

Forcible Rape

There were 16,400 forcible rape offenses reported in 1963. This
crime has shown little change in volume over the past six years,
generally increasing in line with the population growth.

Geographically, the crime rate for forcible rape was highest in the
Mountain and Pacific States followed closely by the East North Cen-
tral States. Cities over 250,000 population had a rate which was
almost two and one-half times greater than either the rural or suburban
areas.

Forcible rape is a seasonal offense in that it is most prevalent during
the summer months. The frequency of this offense in cities was
highest during August, while the rural areas reached a high point in
July. The suburban area reached a peak in August. The seasonal
variation was more pronounced in the suburban and rural areas than
in the cities.

In 1963 police cleared up 69 percent of the reported offenses. Total
arrests rose 2 percent over 1962. Arrests in rural areas advanced 4
percent; however, suburban area arrest volume remained at about
the same level as in 1962.

The highest arrest rate for this offense was of persons 20-24 years of
age. In 1963 persons under 18 years accounted for 18 percent of the
forcible rape arrests while persons under 21 years constituted 41 per-
cent and persons under 25 years made up 62 percent. Seventy-nine
percent of the persons arrested for forcible rape were actually turned
over to the court for prosecution. Thirty-two percent were found
guilty of forcible rape and 18 percent were found guilty of a lesser
offense. Thirty-two percent were acquitted or dismissed and 19
percent were referred to juvenile authorities.

The other sex offenses, such as statutory rape where no force is
used, are collected on the basis of persons arrested. Nationally,
arrests for other sex offenses continued at about the same level as in
1962; however, arrests of males under the age of 18 rose 4 percent
while arrests of females under 18 years increased 7 percent.

12

The arrest rate for sex offenses other than forcible rape was highest
in tlie 20-24 age group. Forty-six percent of tiie persons arrested
for other sex offenses were under 25 years of age and 21 percent were
under the age of 18. Fifty-seven percent of the persons charged in
court for these offenses were convicted of the charge and 7 percent were
found guilty of a lesser offense. Eighteen percent were acquitted or
dismissed while 18 percent were referred to juvenile court.

Robbery

Robbery is a particularly vicious-type offense in that force or a
real threat of force is used to deprive the victim of money or property
and in many instances bodily injury occurs. In 1963 there were over
100,000 such crimes or one offense every five minutes, a 5 percent
increase over 1962. Each robbery in 1963 resulted in an average
loss of $276. Over the past six years robberies have risen 21 percent.
Robbery comprises 4 percent of the Crime Index offenses. The
dollar loss due to robbery in 1963 exceeded 27.6 million. Based on
data reported by police during the first quarter of 1964, armed robbery
constituted 59 percent of the over-all offense, while 41 percent was
strong-arm or mugging. Armed robberies vary widely by geographic
region and population density.

The monthly and seasonal variations for robbery changed little in
1963 from the average frequency experience during the past five
years. Robbery is primarily a big city offense when measured by
volume. In 1963 city robbery began its upswing in October and
reached its high point in December. Robberies in suburban areas
followed much the same pattern as cities. In the rural areas robbery
differed from cities in that it reached a peak in November and showed
a downward trend in December.

Street robberies made up about 53 percent of all robberies in cities.
This was a 2 percent increase over 1962. Chain store robbery,
which was 2 percent of total robberies, increased 20 percent while
bank robbery increased 66 percent but constituted less than 1 percent
of all robbery. Business house robbery increased 7 percent, service
stations 5 percent and residences 2 percent. Since 1958, as shown on
Chart 5, all business house robberies have increased 21 percent, street
robberies 22 percent and residence 26 percent.

The national arrest rate for robbery in 1963 was 30 arrests for each
100,000 population. The robbery rate since 1958 has increased 12
percent. The rate in cities over 250,000 population was 7 times
greater than the rate in suburban areas surrounding large cities and
15 times the rate in the rural sections of our country. Cities over
one million population had a robbery rate 4 times the level of all
other cities, 9 to 1 more than suburban areas and about 19 times
higher than the incidence rate in rural areas. Geographically, the

13

ROBBERY BY TYPE
PERCENT CHANGE 1958-1963

UP 26%

<| UP 21%

<^ UP 22%

1958 1959 1960 1961 1962 1963

FBI CHART

Chart 5

14

robbery rate was highest in the East North Central States; however,
the Pacific States did not lag far behind.

Police success in clearing robbery offenses was in line with the
increase in this type crime. Thirty-nine percent were solved by the
identification and arrest of the offender.

City police kept pace with the rise in robbery offenses in arrest
activity, showing a 4 percent increase. Rural areas, however,
displayed the sharpest increase in arrests for this offense with a
jump of 19 percent for all age groups. Arrests in the suburban
areas were virtually unchanged from the previous year. In the
country as a whole, young males under the age of 18 were responsible
for the major portion of the increase with arrests up 11 percent.
Young persons made up 26 percent of all police arrests for robbery
and persons under 25 accounted for 66 percent. The high arrest rate
age group for robbery was 20 to 24.

Police formally charged 80 percent of all persons arrested for the
crime of robbery. Of those charged, 41 percent were found guilty
as charged, 11 percent were convicted on a lesser charge, and 31
percent were referred to juvenile court jurisdiction. In 18 percent
of the cases the offender was acquitted or the case was dismissed.

Burglary

Among the serious crimes burglary-breaking or entering is the
most frequently committed offense in the Crime Index and it accounts
for 44 percent of all the Crime Index offenses. In 1963, total esti-
mated burglaries approached the one million mark with 975,900
offenses having been tallied. This represents a 9 percent jump over
1962 and a 40 percent increase for the 6 -year period which began in
1958. One burglary was committed on the average of every 32 seconds
during the past year.

A glance at the chart on page 11 will show this category of crime
consistently occurs most frequently during that part of the year with
the most hours of darkness. With a low point in the summer months
and a gradual upward trend in the fall, city and suburban burglary
reaches its peak in December. Variations exist in rural burglaries
since the high point is reached in the summer, volume remains high
in early fall and then, contrary to city and suburban experience, a
sharp drop is noted in December. The burglar is not selective in the
day of the week chosen to commit his crime since very little variation
is found among the number of burglaries committed each day. The
long weekend from Friday night through early Monday morning,
however, is slightly more popular.

When analyzed, it is found that 75 percent of the burglaries were
perpetrated during the nighttime and, as might be expected, business

15

establishments of all types were most prone to surreptitious night
entry. Figures disclose that 91 percent of the nonresidence offenses
occurred during the night hours, whereas only slightly over half of the
residence burglaries took place after dark. Nonresidential burglaries
comprised 55 percent of all burglaries and, in this category, retail
stores were most often the victims and accounted for approximately
4 of every 10 commercial break-ins and unlawful entries.

The fact that our population increase was not solely responsible for
the rise in burglary offenses was demonstrated by the 8 percent jump
in the burglary rate, from 480 crimes per 100,000 population in 1962
to 518 in 1963. In terms of volume this is also a big city crime and
is one of the greatest police crime problems everywhere. The rate
for cities over 1,000,000 was more than double that for suburban and
rural areas combined. By the same token, the rate for the areas sur-
rounding the large cities was almost double that for the strictly rural
areas. In the geographic distribution, the Mountain and Pacific
States led the other sections of the country in their burglary rates.

On the average, 27 percent of the burglaries were solved through
the arrest of an offender. The involvement of persons under 18 in
this offense was illustrated by the fact that 50 percent of the persons
formally charged for this crime were referred to juvenile court juris-
diction.

The sheer volume and a lack of witnesses to these serious offenses
present police with a most difficult problem. Law enforcement's
effort in coping with this problem as measured by arrest activity was
shown by the 5 percent increase over 1962. The involvement of the
younger age group in burglaries was further evidenced by statistics
which disclosed that half the total number of persons arrested for this
crime in 1963 were young people under the age of 18. More than 3
of every 4 burglary arrests made by city police were of persons under
25 years of age. To be more specific, the 15 and 16 year old segment
of our population contributed the highest number of arrests for these
offenses during the past year, although when the number of persons
in each age group is taken into consideration, the 17 year old group
had the highest arrest rate. More than 7,500 females were taken into
custody in 1963 on burglary charges.

Of all persons taken into custody by police on burglary arrests, 84
percent were charged or held for prosecutive action. For every 100
individuals so charged by police, 90 were convicted or referred to
juvenile court. In 31 percent of the cases the offender was found
guilty as charged, while 9 percent of these persons were convicted
of a lesser oft'ense tlian burglary. The remaining 50 percent were
handled by juvenile court authorities.

The loss to the public resulting from burglaries is not fully
known. Direct losses from property stolen can be computed based

16

on the average value of $211 for each offense. During 19G3, tliis loss
alone totaled more than $205 million. Since 70 percent of all bur-
glaries involve forcible entry, the indirect costs because of damaged
and destroyed property would run the bill up many thousands of
dollars.

Police efforts are directed toward prevention, suppression, and in-
vestigation but, because of the volume and frequency of these crimes
and due to the other pressing demands for police service of all types,
these efforts are necessarily limited. Assistance can be rendered by
the public, however, for in 21 percent of the burglary violations the
crime is made simple because doors, windows, or some other means of
entry are left unlocked or open for the prowler. In those places where
experience has shown that specific business establishments are prone
to recurring burglaries, the affected merchant has a responsibility to
provide more adequate protection for his premises to discourage these

CRIME CLOCKS

1963

SERIOUS CRIMES

4 EACH MINUTE

MURDER, FORCIBLE RAPE
OR ASSAULT TO KILL

ONE EVERY 3 MINUTES

MURDER

ONE EVERY HOUR

FORCIBLE RAPE

ONE EVERY 32 MINUTES

AGGRAVATED ASSAULT

ONE EVERY 4 MINUTES

ROBBERY

ONE EVERY 5 MINUTES

BURGLARY

ONE EVERY 32 SECONDS

LARCENY
($50 and over)

1 EACH MINUTE

AUTO THEFT

1 EACH MINUTE

FBI CHART

Chart 6

IT

repeated attacks. Routine precautionary steps to provide reasonable
security to property and premises would unquestionably lead to a
substantial reduction in the number of these crimes.

Larceny

Larceny $50 and over is another high-volume Crime Index offense,
second only to burglary in the number of incidents reported in 1963.
There were an estimated 611,400 of these crimes last year, a rise of 13
percent over the prior calendar year and a 50 percent upward trend
for the period starting in 1958.

Over the years when reviewed on a month by month basis, larceny
shows less variation in frequency of occurrence than any of the other
Crime Index offenses. In 1963, August was the high month and
January the month with the fewest number of these crimes. This
coincided generally with the five-year moving average graphically
portrayed on page 11. During 1963 there was one reported offense
of,, larceny every fourteen seconds.

/While it is true that many offenses of this nature are not reported
to police because of the relatively small value of the property stolen,
nevertheless, the losses from those crimes which were reported reached
the staggering total of almost $182 million for the year/ In all crimes
of this type, including those where the property stolen was valued at
less than $50, the average loss for each offense amounted to $82. In
looking back over the years, it is interesting to note that in 1943 the
average loss value was $43, a little more than one-half that for the
current year. This suggests the effect of the cost of living on the
cost of crime. Nationally, experience has shown there are approxi-
mately 3 larcenies under $50 for every larceny $50 and over.

When translated into terms of crime rates, it is observed that almost
12 of every thousand persons in our population were the victims of a
thief in 1963. The rate was highest in the cities where there were
almost 16 thefts for every 1,000 population. In suburban areas the
rate was 10 per thousand and in rural areas 4.

An analysis of larceny by type disclosed an upward trend in every
category with the exception of pocket-picking which dropped 11 per-
cent. Increases of 13 percent were registered by purse-snatching,
shoplifting and thefts of bicycles. These were followed by thefts
from automobiles, up 1 1 percent, and thefts of automobile accessories,
up 8 percent. The latter two categories, however, accounted for 40
percent of all larceny. Thefts in the ''all other" category, which com-
prised 36 percent of the total, included attacks against coin-operated
devices such as parking meters, telephone booths and outside vending
machines. In 1964, these types of larcenies are being segregated
through a further breakdown of the supplemental data submitted
by police.

18

LARCENY BY TYPE
PERCENT CHANGE 1958-1963

<^ UP 26%

<| UP 8V

14%

1958

959

960

961 1962 1963

UP 41%

FBI CHART

Chart 7

19

Again going back a few years, it is observed that there have been
rather sizable increases in certain types of larcenies since 1958. An
examination of Chart 7 will reveal, for example, an 81 percent jump
in shoplifting. While a portion of this increase may be attributed to a
greater degree of reporting of these crimes to police by merchants,
the sharp upward trend is primarily the result of an actual increase in
the number of these offenses due in part to greater opportunity.
Although they made up only about 7 percent of total larceny, it must
be recognized that the police preventive effort is severely limited in
this category of crime since they occur beyond the scope of police
patrol. Thefts of bicycles, up 41 percent, and thefts from persons
such as purse-snatching and pocket-picking, up 26 percent, likewise
show a sharp 6-year trend. The increase in thefts from autos of 14
percent is significant because of the large volume of crimes of this
type. A further explanation for the increase in theft over the years
is the increasingly widespread use of vending machines and other
corn-operated devices, the accessibility of which makes them prime
targets for the thief.

Police were successful in clearing 20 percent of the larcenies reported
to them and in 1963 arrests by law enforcement agencies increased
9 percent over 1962 for offenses in this category. Among the city
groups, those under 10,000 population realized the most success with
clearances, averaging 25 percent. Nationally, 248 arrests were made
for larceny-theft violations for every 100,000 citizens with cities in
the 100,000 to 250,000 group showing the highest arrest rate for this
offense. Of all persons arrested by city police, 73 percent were under
25 years of age, 65 percent were under 21 and 53 percent under 18.
In suburban areas the experience was very similar with arrests of
persons under 25 accounting for 77 percent, under 21, 68 percent,
and under 18, 54 percent. In the rural areas, the involvement of
young persons was somewhat less, with those under 25 representing
69 percent of the arrests, those under 21 accounting for 54 percent
and those under 18, 31 percent. In 1963 there were over 107,000
arrests of persons under 15 for this crime, however, the highest arrest
rate for larceny was age 15 to 19. In the cities, female arrests for
larceny made up 12 percent of all police arrests of women and girls.
In the suburban areas, the figure was 17 percent and in the rural
areas, the female representation dropped to 6 percent.

City police preferred charges of larceny against 83 percent of the
persons they arrested for that crime. Of those thus held for prosecu-
tive action, 84 percent were found guilty of the offense charged or
were referred to juvenile court. In addition, 4 percent were found
guilty of some lesser offense. Twelve of every 100 persons charged
were acquitted or their case was dismissed at some prosecutive level.

It has been observed that many of the crimes of theft occur because

20

CRIMES CLEARED BY ARREST

1963

AGAINST THE PERSON

CLEARED

91%

MURDER

NEGLIGENT
o MANSLAUGHTER

CQ^ FORCIBLE

^^"^ RAPE

ino/ AGGRAVATED
'O/o ASSAULT

NOT CLEARED

AGAINST PROPERTY

CLEARED

NOT CLEAR

ED

39%

ROBBERY

27%

aURGlARY

20%

LARCENY

26%

AUTO THEFT

FBI CHART

Chart 8

21

the opportunity is presented and the crime is made easy for the thief.
Pubhc cooperation could do much to reduce these thefts through
use of proper precautions to safeguard personal possessions. This
applies particularly to thefts from automobiles where personal
belongings are so often left in plain view in unattended vehicles, either
locked or unlocked.

Auto Theft

There were over 399,000 autos stolen during 1963, an increase of
11 percent over 1962. This is an average of one theft every minute
and the value of property stolen in 1963 exceeded $369 mijlion. The
average value of a motor vehicle stolen during the year was $927.
Auto thefts represented 18 percent of the Crime Index offenses.
Over the past six years auto theft has increased 39 percent. During
1963 law enforcement agencies recovered 91 percent of the stolen
cars; however, the 9 percent which were not recovered represented a
loss totaling more than $33 million.

Geographically, the volume of thefts was greatest in the East North
Central States while the theft rate was highest in the Pacific and
Mountain States. Nationally, the greatest amount of auto theft
occurred during the month of November. This was true not only in
the cities but also in the suburban areas. In the rural areas auto
theft reached its peak in September, but the months of June and July
also recorded a high volume of thefts.

Across the Nation arrests for auto theft increased 13 percent with
male offenders under the age of 18 contributing a 15 percent rise in
arrests. Arrests of female persons under the age of 18 climbed 9
percent. Persons over the ago of 18 contributed an increase of 9 per-
cent nationwide. In suburban areas the arrest trends were similar
to those in the cities in that total auto theft arrests gained 11 percent.
Arrests of persons under 18 advanced 14 percent and those over the
age of 18 had a 5 percent rise. In the rural areas total arrests were
4 percent higher. While arrests of young persons were up 2 percent,
those over 18 accounted for a 6 percent increase.

The highest arrest rate for auto theft was for persons 15-19 years of
age. Offenders under the age of 18 accounted for 63 percent of all
auto theft arrests, while persons under the age of 25 were responsible
for 88 percent of the total arrests. A prior survey showed that in
auto theft cases involving persons under the age of 18, two or more
juveniles were involved in 58 percent of the thefts where an arrest
was made. In about one-tliird of these thefts the juvenile acted alone
and in about 10 percent the juvenile acted in concert with an adult.

During 1963 law enforcement cleared 26 percent of the auto thefts
by arrest of the offender.

Eighty-seven percent of tlie persons arrested for auto theft were
charged in court. Twenty-three percent of these were found guilty

22

of the offense as charged, 7 percent were convicted of a lesser offense,
12 percent were acquitted or dismissed, and 58 percent were diverted
to juvenile court.

Slightly more than four out of every 10 cars stolen have the key in
the ignition or the ignition unlocked. About 25 percent of the cars
are stolen for use in another crime, resale or for the purpose of stripping
for parts. The remaining 75 percent arc taken for transportation or
the reason is unknown.

Two-thirds of all auto thefts occur at night and over half of these
automobiles are stolen from private residences, apartments or streets
in residential areas. The local law enforcement agency in which
jurisdiction the cars are stolen recovers about 64 percent of all cars
stolen within 48 hours. However, an average of 20 percent of all
cars stolen are recovered by departments outside the jurisdiction
where the theft occurred. In some of the large metropolitan areas
over 50 percent of the automobiles stolen are recovered in another
jurisdiction. This recovery information clearly indicates the mobility
factor involved in auto theft.

Key ordinances have been adopted in many areas for the purpose of
penalizing the driver for leaving keys in the car or the ignition unlocked
while it is unattended. When the public is aware that such a law
exists and the ordinance is enforced by the issuance of citations, the
community in question has had a lower auto theft rate than those
places without such an ordinance or areas which have such a law but
enforcement is weak.

Prevention is the best hope of reducing auto theft, particularly
when we recognize the number of young people involved in the
transportation-type thefts. Drivers must recognize their responsi-
bility to lock the ignition, remove the key and secure the automobile.
By so doing, they will remove the invitation and easy opportunity for
the commission of auto theft. We must recognize that man^^ auto
thefts by young persons are impulsive acts dangerous to them as a
beginning of a life of crime and frequently dangerous to the police and
the law-abiding citizen.

Persons Arrested

In this Program characteristics of age, sex, and race are collected
of persons arrested by police for specific criminal acts. While all
crimes committed do not come to the attention of the police and
although not all crimes that are reported result in solution through
arrest of the offender, arrests do provide the best measure of the
volume of crime being committed by certain age groups by sex and
race. Keep in mind that this is a count of physical arrests and one
person may be arrested several times during the year.

23

732-&88°— 64 3

ARREST RATES BY

ROBBERY

AVERAGE RATE 32

"1llllllllir~lllllllllirTnTitnTn"

RATE 24 89 102 62 36 22 12 6 I

AGE 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50 & over

BURGLARY

AVERAGE RATE 160

RATE
ACT

298

10-14

601 328 175 101 B7

15-19 20-24 25-29 30-34 35-39

40

40-44

2T 7

45-49 50 & over

LARCENY

AVERAGE RATE 287

RATE
AGE

597

10-14

947

15-19

450

20-24

267 202

?5-29 30-34

158 (22 95 43

35 39 40-44 45-49 50 & over

AUTO THEFT

RATE 100 441 117 47 30 20 12 8 2

AGE 1C14 15-19 20 24 25-29 30-34 35-39 40-44 45-49 50 & over

RATES PER 100,000 POPULATION WITHIN EACH AGE GROUP

Chart 9

24

AGE GROUP - 1963

MURDER, ASSAULT AND RAPE

AVERAGE RATE 243

RATE 82 354 529 515 426 340 258 (80 62

AGE 10-14 1519 20-24 25 29 30-34 35-39 40-44 45-49 50 & over

NARCOTICS

AVERAGE RATE 24

RATE
AGE

2

10-14

'iiiiiiiiiir'

-JTlTIIfr-rTMIlIl-TiTmTnr-fTTWTa;

31

1519

20-24

70

25-29

50

30-34

28

35-39

14 7 3

40-44 45-49 50 & over

GAMBLING

AVERAGE RATE 82

RATE
AGE

I 30

10-14 1519

108

20-24

147

25-29

(51

30-34

138

35-39

123

40-44

109 60

45-49 50 & over

FORGERY, EMBEZZLEMENT AND FR

AVERAGE RATE 84 [ [

AUD

"Wiiwi J

■■ -' -iiiiiiiiirriiTr

RATE. 6 69 188 207 181 143 107 68 19

AGE • 10-14 15-19 20 24 25-29 30-34 35-39 40-44 45-4^ 50 & over

FBI CHART

Chart 9

25

For the country as a whole arrests for all criminal acts, excluding
traffic offenses, increased 1 percent, 1963 over 1962. The national
arrest rate per 1,000 inhabitants was 35, cities 42, suburban areas 19,
and rural areas 15. There was little change in the total volume of
city arrests; however, the rural and suburban areas each showed a
6 percent rise in arrest activity. This over-all arrest level in the
cities was heavily influenced by a decrease in arrest activity with
respect to the voluminous offenses against public order, such as
drunkenness, vagrancy and the like, while arrests for criminal activity
were generally up.

A better analysis of police activity in keeping pace with the crime
trend was the nationwide 8 percent increase in police arrests for the
offenses of criminal homicide, forcible rape, robbery, aggravated
assault, burglary, larcen}^ and auto theft. This trend was consistent
in all areas ranging from a 5 percent increase in the rural area to 8 in
the cities and 9 in the suburban area. Arrests were up in all of the
above crime classifications led by auto theft 13 percent, larceny 9 and
burglary 5. When viewed by age groups, arrests for persons under
18 for these crimes rose 11 percent, adults 5 percent. The experience
was similar in rural and suburban areas and the cities.

For all criminal acts, again excluding traffic offenses, the nationwide
increase in arrests of persons under 18 years of age was 11 percent.
In the cities with a nmch greater volume the increase was 1 1 percent,
in the suburban area 15 percent and in the rural area 12 percent. For
the country as a whole, persons under 18 years of age comprised 17
percent of all the police arrests for criminal acts. This ranged from
15 percent in the rural area to 25 percent in the suburban counties.
For the offenses that relate to the Crime Index — ^namely, criminal
homicide, forcible rape, robbery, aggravated assault, burglary, larceny
and auto theft — these young persons were represented in 46 percent
of the arrests nationally. For rural counties the proportion was 34
percent and for the suburban area 51 percent.

For all criminal acts the male is arrested eight times more often
than the female. The over-all arrest trend, for females was up 3
percent; however, it was influenced greatly by a 12 percent rise in
arrests of girls under 18.

While narcotic arrests recorded a 10 percent increase nationally,
arrests for gambling showed a sharp decrease of 1 0 percent. Gambling
arrests have shown similar decreases in the last few years and rather
than suggesting a decline in gambling activity more likely it reveals
the effect of greater restrictions placed on police arrest, search and
seizure.

Chart 9 portrays graphically arrest rates by age groups for selected
offenses. These arrest rates are based on reports from agencies
representing 67 percent of our national population. The rates are
read on the basis of the number of arrests for each 100,000 persons

26

within the age group. Popuhition under 10 years of age was not used
in computing rates. Detailed information concerning arrests is
set forth beginning on page 103.

The table below sets forth a percent distribution of types of drugs
involved in police arrests of offenders reported by 565 law enforcement
agencies during 1963. In reviewing tlie distribution in total and by
region it should be noted that the table largely reveals the experience
in cities under 250,000 population. Only a few of the largest cities,
where the drug problem based on arrest is primarily located, were
able to provide the information for the year 1963. Only one city
over one miUion population, located in the North Central region, is
included; therefore, the following table may not be representative
of the narcotic drug problem in large cities.

Narcotic Arrests by Geographic Region

[565 agencies; 28,308,760 population]

Eegion

Narcotic drugs
(heroin, co-
caine, syn-
thetics, etc.)

Marijuana

Other non-
narcotic drugs
(barbiturates,
benzedrines,
etc.)

Percent total ._ .

54.3

18.3

27 4

Northeast

64.6
72.1
30.5
45.2

7.6
12.3
23.4
27.9

27.8
15.6

North Central

South

West

26 9

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 prosecu-
tion, 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 97 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.

For all criminal acts 70 percent of the persons charged were found
guilty as charged, 2 percent for some lesser charge, 16 percent acquitted
or otherwise dismissed, and 12 percent referred to juvenile court. Na-
tionally, police handled within the department almost half the juvenile
oft'enders taken into custody without any referral to juvenile court.
The average experience reported by cities in Table 10 shows a higher
percentage of acquittal and dismissal in 1963 when compared to 1962.

While crimes against the person — murder, forcible rape and ag-
gravated assault — have high police clearance rates, there is far less

27

chance of a guilty verdict as originally charged than if the first charge
was a property crime which have lower clearance rates. Acquittals,
dismissals and reduction of charges begin after police arrest and con-
tinue through the prosecutive procedure and the courts. Acquittals
or dismissals for murder and nonnegligent manslaughter were reported
as 27 percent, forcible rape 32 percent, and aggravated assault 37
percent. On the other hand, acquittals and dismissals for burglary
were 9 percent, all larceny 12 percent, and robbery 18 percent. It
should be noted that acquittals and dismissals for narcotic drug laws
were 37 percent and gambling violations 40 percent. This situation
involving these two crimes upon which organized crime ''breeds"
reveals the difficulties faced by the police in obtaining evidence
acceptable to the courts.

Table 11 demonstrates to a certain extent the relationship of of-
fenders to certain types of crimes. In the crimes against the person,
namely murder and forcible rape, there were 15 percent and 13 percent
more persons arrested than victims. On the other hand, there were
11 percent more victims than persons arrested for aggravated assault.
While the latter may indicate instances involving one offender with
multiple victims it also reveals those incidents where the victim,
because of his relationship with the assailant, refused to prosecute
and, as a result, no arrest was made. For the property crimes the ex-
perience is different with burglary showing 20 percent more offenses
cleared than persons arrested, larceny 7 percent and auto theft had
a ratio of almost one arrest for each clearance.

For the crimes of murder and nonnegligent manslaughter, forcible
rape, robbery, aggravated assault, burglary, larceny and auto theft
84 percent of the persons arrested were formally charged or turned
over to juvenile court. This ranged from 77 percent in murder and
nonnegligent manslaughter to 87 percent in auto theft. Over half of
the persons charged with auto theft, 50 percent of the burglary, 42
percent of the larceny and 31 percent of the robbery were referred to
juvenile court.

Careers in Crime

The cooperative exchange of criminal fingerprint identification
data among local, state and Federal law enforcement agencies makes
possible considerable detailed information on known offenders, their
criminal history, recidivism, mobility and eventually the success or
failure of specific court action and correctional treatment. In other
pages of this publication the extent and nature of criminal acts, along
with brief characteristics of the age, sex and race of the offender, are
described. Here is the beginning of career criminal records on known
offenders who over the years contribute annually to our mounting
crime counts.

28

In 1963 the FBI initiated a statistical program utilizing these
criminal identification records for the pm-pose of providing an analysis
of criminal and prosecutive history of known offenders. Law enforce-
ment agencies — local, state and Federal — submit to the Identification
Division of the FBI criminal fingerprint cards on persons arrested.
Submissions are not made uniformly by all law enforcement agencies
on all charges. Generally, the practice is to submit a criminal
fingerprint card on all serious offenses, felonies and certain mis-
demeanors. On the Federal level, nearly all arrested persons are
fingerprinted by the Federal investigative agencies, United States
Marshals and the Bureau of Prisons.

Through this positive means of identification the criminal history
of an offender becomes known. It is limited to the degree, of course j
that the offender is detected, arrested and fingerprint cards submitted. At
the present time the criminal history and other characteristics of
offenders who are being handled in the Federal criminal administra-
tion of justice are being stored in automatic data processing equip-
ment. Each of the fingerprint files of these known offenders in the
Identification Division is being ''flashed," which establishes a
method of following up on these offenders as to future criminal
involvement which can be added over time.

During the year 1963, some 56,126 individual records were processed
in the above manner. They are for the most part persons arrested on
a Federal charge in 1963, parolees, probationers or persons who
violated the latter leniency, commitments to Federal institutions,
some District of Columbia offenders, and a number of serious state
and local violators being sought by the FBI under the Fugitive Felon
Act. Excluded from this process were military criminal fingerprint
submissions and chronic arrests for immigration violations.

Some preliminary analyses of this new information on these
offenders are set forth herein. Of the 56,126 individual offenders
who were actively handled in 1963, 75 percent had two or
more arrests and 25 percent a single charge. Only 7 percent were
female. By race, 73 percent were white, 25 percent Negro and 2
percent other races. A distribution by age in 1963 and age at first
known arrest for these 56,126 offenders is shown below.

Percent Distribution by Age

Age 1963 At First Arrest

Under 20 7.7 38.4

20-24 20.9 27.7

25-29 17.8 13.3

30-39 27.5 12.9

40-49 16.3 5.2

50-59 7.2 1.9

60 and over 2.6 .6

In reviewing the above, keep in mind that both policy and practice

29

not to fingerprint juvenile offenders influences the above distribution.
Of the more than 266,000 arrests accumulated by these offenders
during the course of their criminal careers, 74 percent were local or
state violations and 26 percent Federal violations.

The vast majority of these offenders, 75 percent with two or more
charges, had an average criminal career — span of years from first to
latest arrest — of 10 years. During this period these offenders were
arrested an average of 4.5 times. According to these criminal histories,
52 percent had received leniency in the form of probation, suspended
sentence, parole or conditional release. This, of course, is the crim-
inal experience of the repeater who failed the confidence entrusted
in the form of certain treatment. For the purposes of this study,
probation, suspended sentence, parole and conditional release are
referred to as ''leniency.'^ It goes without saying that probation
and parole are special forms of treatment of criminals, but since
they represent a lesser punitive action than incarceration, the term
leniency is used here to point up this characteristic. Of those granted
leniency, 68 percent received it once, 20 percent twice, and 12 per-
cent three or more times. As a group these offenders who received
leniency averaged three new arrests after the first leniency action.
Their career criminal record averaged 12 years and 6 arrests. From
the standpoint of mobility, 54 percent of these offenders confined
their activity to one state, 25 percent were arrested in two states,
10 percent in three states, and 11 percent in four or more states.
The mobility problem from jurisdiction to jurisdiction within a state,
and particularly within a metropolitan area, is undoubtedly far greater.

The tabulation on page 32 captioned 'Trofile of Known Repeaters
by Type of Crime" is an initial attempt to reveal some profile char-
acteristics of criminal types. The sole test for selection and inclusion
in one of the criminal groups was an arrest for such a crime during the
course of a person's criminal career. It was not limited to arrests
for specific crimes in 1963. Thus, there is some duplication of
offenders in certain categories in that the same person may have
been arrested for burglary and robbery and so would appear in both
categories. Generally, criminals do not confine their activity to a
single type of criminal act. Average age at first charge and age at
arrest for the first indicated charge has a tendency to be higher than
in reality due to the lack of fingerprint cards on juvenile arrests.
Nonetheless, the table demonstrates the average experience for this
group of offenders known to the Federal process through criminal
fingerprint records during the year 1963. It also sheds some light
on the chronic offender, local and Federal. Tlie fact that three-
fourths of the arrests of these offenders were for local charges and that
most of the Federal charges are likewise local violations supports
this contention.

30

The average age for these offenders (table A) in 1963 ranged from
43 years for the gambler to almost 29 years for those persons who
during the course of their criminal career have been arrested for
auto theft. Average age for first arrest for auto theft was 23 years,
robbery 25 years and gambhng 36 years. All of these offenders
show a much lower average age for first arrests for any offense, begin-
ning with 19 in auto theft to 29 years for gambling and Federal
liquor law violators.

Average criminal careers for these offenders, i.e., span of years
from first to latest arrest, was highest for gambling, 14 years, followed
by robbery and the assaultive crimes of murder and felonious assault,
13 years. Auto thieves, who are generally younger, had the shortest
average span of 9 years but during that time accumulated, on the
average, 6 arrests. The robber was high with 9 arrests in 13 years,
the burglar 8 in twelve years, narcotics offender 8 arrests in eleven
years and the Federal liquor law violator 4 arrests in eleven years.
When these charges are examined in relationship to the offenses
which make up the Crime Index the robber contributed 4 such
offenses out of the total of 9 charges, the burglar 4 out of 8, the auto
thief 3 and assaultive-type offender 3. Only 1 of the 4 arrests charged
to the Federal liquor law violator fell into the Crime Index or serious
crime category. These, of course, are only those crimes known to
have been committed by these offenders through detection, arrest
and submission of fingerprint data.

Repeating the same type of crime had its highest level among
narcotics violators, 48 percent having two or more narcotic arrests.
The liquor law violator repeated in 39 percent of the individual
records, bogus check offenders 38 percent, gamblers 37 percent,
burglars 37 percent, auto thieves 33 percent and the robber 25 percent.

The term leniency as explained above, in table A refers to known
instances where an offender received probation or suspended sentence,
parole or conditional release. The frequency of leniency action is
counted for any charge during the course of the criminal career of
the offenders. Two-thirds of those offenders who had been arrested
for robbery, burglary, auto theft or bogus checks received leniency
during their criminal career. The gambler had the lowest percentage
of leniency, followed by the assaultive-type offender. Leniency action
for the indicated charges of serious assault and murder, and sex
offenses had the lowest percentage. Leniency was received on gam-
bling charges only in 15 percent of the total; however, the lightness of
the sentence usually connected with this offense would account for
this. On the other hand leniency for auto theft charges was 46 per-
cent-and for narcotic offenses 36 percent.

31

Table A.— Profile

of Known

Repeaters by Type of Crime

Murder

and
serious
assault

Rob-
bery

Bur-
glary

Auto
theft

Nar-
cotics

Gam-
bhng

Bogus
checks

Sex
offenses

Federal
liquor
viola-
tors

36

27
22
13

8
3

34

25
20
13

9
4

32

23
20
12

8
4

29

23
19
9

6
3

34

28
22
11

8
2

43

36
29
14

6

1

35

29
23
11

7
2

35

26
21
12

8
3

40

Average age first arrest for charge
indicated

34

Average age at first arrest.. .

29

Average criminal career (years)

Average arrests during criminal

11
4

Crime Index arrests . .-

1

Frequency of arrest on indicated
charge (percent):
One

81
14

5

32
15
9

75
18

7

34
18
14

63
21
16

35
18
13

67
21
12

39
17
11

52
21

27

35
15
10

63
18
19

30
9
6

62
20
18

36
17
13

86
11

33

16
12

61

Two - -- - -

20

Three or more - -

19

Frequency of leniency action on
anv charge (percent):
One - - ... -

41

Two - -- -- ---

12

Three or more

6

Total

56

66

66

67

60

45

66

61

59

Leniency on indicated charge (per-
cent) - -- --

14

5

22
6

24
5

46
4

36
5

15
4

38
5

15
6

51

Average arrests after first leniency-

2

Mobility:

Arrests in 1 state (percent)

Two states...

39
31
14
16

33
28
16
23

31
30
17
22

28
31
17
24

53

27
10
10

60
24

8
8

32

25
16
27

37

28
14
21

69
22

Three states

6

3

After the fost leniency action, these known offenders were arrested
on new charges during the course of their criminal career ranging from
a high of 6 for the robber and sex offender to 2 new charges for the
Federal liquor law violator. The mobility of these criminal types is
apparent from the number of states in which arrests were recorded
during their criminal history. The robber, auto thief, burglar and
bogus check offender show high mobility. The gambler and the
Federal liquor law violator on the other hand are mostly local types,
that is, restrict their activity to one state.

This new statistical program on the careers in crime is in the develop-
ment stage and it is anticipated that more definitive information will
be made available in future issues of this publication, as well as other
periodicals.

Police Employee Data

The police employee tables which appear in this publication pro-
vide information relative to the average police strength for cities by
population group and geographic division, percent civilian employees,
number of police officers killed and assaulted in the line of duty and
listings of police employee strength by individual city for places over
2,500 population which have made these figures available.

In 1963 the average police employee rate nationally remained at
1.9 police employees per 1,000 population for all cities. When ar-
rayed, the midpoint in police employee strength per 1,000 population

32

was 1.4 which indicates that many departments are below the average.
When rehited to popiihition and crime it can be seen that the increases
in the number of police employed are barely keeping pace with the
rising population and are being outstripped by the incidence of crimi-
nal acts. The wide variations in police employee rates among cities
in the same population group suggest periodic re-evaluations of per-
sonnel requirements should be made by all law enforcement agencies.

This is particularly true in the suburban areas where police employee
rates, nationally, are below average. Table 42 discloses that tliese
fast-growing communities surrounding the large metropolitan cities
have a rate of 1.2 police employees per 1,000 inhabitants, but a wide
range from .1 to 9.4. The factor of high mobility plays an important
part in the crime experience of these suburban areas and cannot be
disregarded when determining police needs.

For sheriffs' departments the average police employee rate is less
than one (.8) police employee per 1,000 inhabitants and, again, there
is a wide rate range from .1 to 9.8. This rate includes both sworn and
civilian personnel of these departments. It must be recognized that
the law enforcement responsibilities of these agencies differ consider-
ably in various sections of the United States. In some jurisdictions,
for example, the sheriff's activity is limited in large part to civil
functions. The departments used in computing this rate, however,
are all engaged in full-scale police activity and are responsible for all
phases of law enforcement in their jurisdictions. In using this rate,
caution must be exercised because of the variations in the nature and
extent of the duties performed by sheriffs' offices.

Police employee rates and rate ranges are supplied as a guide and
must not be interpreted as desirable or recommended police strength.
The numerous factors which contribute to the need for police service
in individual communities vary widely and must be carefully weighed
when determining manpower requirements.

The felonious killing of police officers and assaults on police acting
in the line of duty continue to be serious problems facing law enforce-
ment. Detailed information collected on police deaths reveals that
168 law enforcement officers have been murdered by criminals during
the four-year period 1960 through 1963. These murders reached a
new high for the 1960's with the brutal slaying of 55 local, county,
and state police officers in 1963. Also to be taken into account were
the deaths in the line of duty of an additional 33 law enforcement
officers in accidents during 1963.

By classifj^ing the type of police activity in which the 168 officers
were engaged at the time they were murdered, it is found that making
arrests and transporting prisoners accounted for 26 percent of the
fatalities, followed closely by deaths of those slain by armed robbers
who were either interrupted during the commission of their crime or

33

who were intercepted by police as they fled the scene. Although ac-
counting for only about one-half as many deaths as the robbery situa-
tions, the interruption of burglaries in progress or the pursuit of
burglary suspects took 21 lives. These two classifications include a
number of incidents where police were making what appeared to be.
routine stops for traffic violations but, unbeknown to the oflEicer, the
occupants of the automobiles were fleeing the scene of robberies or
burglaries. Kesponding to disturbance-type calls resulted in the
deaths of more than 1 of every 5 police killed, thus continuing to take
a high toll of police lives. Chart 10 illustrates the types of activity
in which law enforcement officers were engaged when they were
murdered.

A further analysis of police deaths discloses 109 of the 168 officers
killed were assigned to car patrol, 13 to foot patrol, 30 were detectives
or were officers on some special assignment and 16 were technically
off duty. The officers on car patrol were almost equally divided with
57 in one-man cars and 52 in two-man cars. Ninety-six men were
receiving assistance from other police at the scene of the fatal incident
while 72 were operating by themselves.

A special analysis was made of 62 police deaths during the years
1960-1963 in 53 cities where departmental policy was known with
respect to the use of one-man patrol cars, two-man cars and combina-
tions of these. In summary, 35 (56 percent) of these deaths involved
men working in two-man patrol cars and 27 (44 percent) in one-man
cars. To obtain a more complete picture, however, it is pointed out
that in 15 of the incidents involving one-man patrol cars, the officer
was being assisted at the scene of the crime by fellow officers. Thus,
of the 62 deaths, the officer had assistance in 81 percent of the incidents
while in 19 percent of the cases the officer was unaccompanied at the scene.
There were 40 police killings in cities where combinations of one and
two-man patrol cars were employed. In 27 of the incidents, two-man
cars were being used at the time while 13 of the officers were killed
while using one-man patrol cars.

Firearms predominated as the weapon used to commit these murders.
Handguns such as revolvers and automatic pistols were used in 131
instances, shotguns and rifles in 31, knives or cutting instruments in 2,
motor vehicles in 2, a club in 1, and personal weapons in 1.

A total of 219 persons were involved in the 168 murders. Of these,
police arrested 188 individuals, 22 were killed justifiably by police at
the time of or shortly after the incident, 7 committed suicide, 1 died
a natural death, and 1 drowned before being taken into custody. A re-
view of the criminal histories of the 219 individuals produces information
similar to previously published data. When the 77 persons involved
in 1963 are added to the 142 involved in the three preceding years, it
is observed that 79 percent had prior records of arrest. Seventy-three

34

percent had been convicted of some crime, 53 percent had received
prior leniency, and 36 percent were on parole or probation at the time
they became involved in the police killing. Altliough no females were
directly responsible for any of the police deaths, 4 women were arrested
as being involved in the incidents. There were 11 persons under 18
years of age arrested for these crimes and 77 or 41 percent were under
25 years of age.

Disrespect for authority and specifically for the law enforcement
officer who is performing his official functions can be measured to a
great extent by the number of assaults on police acting in the line of
duty. The rate of these assaults continues to climb yearly with about
11 of every 100 police officers having been the victim of an assault during
1963. The rate of assaults on police increased in all city population
groups over 25,000 and in all geographic divisions except Mountain
and Middle Atlantic. An analysis of police assaulted by geographic
division and population group is shown in table 45. This table
clearly discloses the high risk rate for police in the largest cities
and in the South Atlantic and East North Central geographic divisions.

POLICE KILLED BY FELONS

BY TYPE OF POLICE ACTIVITY
1960--1963

RESPONDING TO "DISTURBANCE " CALLS
(Family quarrels, man with gun, etc.)

BURGLARIES IN PROGRESS, OR
PURSUING BURGLARY SUSPECT

ROBBERIES IN PROGRESS, OR PURSUING
ROBBERY SUSPECTS

AnEMPTING OTHER ARRESTS AND
TRANSPORTING PRISONERS

INVESTIGATING SUSPICIOUS PERSONS
AND CIRCUMSTANCES

BERSERK OR DERANGED PERSON
(No warning - unprovoked attack)

36
21%

2\
13%

42

25%

44
26%

18
11%

7

4%

168 POLICE KILLED

INCLUDES CITY, COUNTY, AND STATE POLICE

FBI CHART

Chart 10

35

POLICE EMPLOYEE DATA

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

BY POPULATION GROUPS, DECEMBER 31, 196 3

9.4

5.1

4.2

AV,
1,4

A

AV.
2.7

U

U

1 c

0.0

AV.

.3

2.7

AV.

.3

AV.

.9

AV.
1.4

.1

ALL CITIES CITIES CITIES CITIES CITIES CITIES

CITIES OVER 100.000 50,000 25.000 10,000 LESS

250,000 TO TO TO TO THAN

250,000 100,000 50,000 25,000 10,000

FBI CHART

Chart 11

36

Aa a Cam ^ntorctmmt (§Uutr, m^ funJameniJ Jui^ u to

serve mannlnd^ to Aaf-e^uard liveA ana properlu; lo protect tne innocent aaainit
deception, tne wean against oppression or intimidation, and tne peaceful
against violence or disorder^ and to respect the (constitutional riakts of- all
men to libertt^, ee^uaiiti^ and justice.

ll UiXil neep m^ private life unsullied as an example to aii; maintain coura-
geous calm in the face of danger, scorn, or ridicule; develop Self-restraint; and
be constantly mindful of tne welfare of others. ^J4onest in thouant and deed
in both m^ personal and of ficiai life, ^ will be exempiaru in obeuina the laws
of tne land and the regulations of mu department. lAJhatever ^ See or hear of
a confidential nature or that is confided to me in mu officiaicapacitu will be
Kept ever Secret unless revelation is neceSSaru in the performance of mu dutu.

Ji iUlli never act officiousli^ or permit personal feelinas, prejudices, animos-
ities or friendsnipS to influence mu decisions. lAJith no compromise for crime
and with relentless prosecution of criminals, .^ will enforce the taw courteousiu
and appropriatelu witnout fear or favor, malice or ill will, never empiouina
unneceSSaru force or violence and never acceptina aratuitieS.

ll I*0r00tlt2i? the bad^e of mi^ office aS a St^mboi of public faith, and
.y accept it as a public trust to be held So lona as ^ am true to the ethics of
the police service. ^ will constantiu strive to achieve these objectives and ideais,
dedicatina muSeif before \-Jod to mu chosen profession . . . law enforcement.

lnu.rnMlioni.1 Aa.ociation of Chiefs of Police, InC.

37

Introdviction

Background

The Uniform Crime Keporting 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 (lACP). 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, lACP, 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 lACP 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 special meeting of the Committee on Uniform Crime Records,
called at the suggestion of the FBI, was held in Washington, D.C.,
in April, 1963, at which time substantial revisions were made in the
Program. These changes, which became effective January 1, 1964,
do not alter the basic data being collected, but rather requested
greater detail on the nature of certain crime classifications (copies
of this Committee report are available upon request of the Uniform
Crime Reporting Section, FBI). The objectives are to obtain in-
creased uniformity in crime reporting and to provide additional use-
ful information for police executives as well as others utilizing Uniform
Crime Reports.

As a result of the resolution adopted at the lACP Convention in
October, 1961, Committees on Uniform Crime Reporting within
state law enforcement associations continue to be active in promoting
greater interest in Uniform Crime Reporting, in fostering more
widespread use of uniform crime statistics, in encouraging new con-

38

tributors, and in lending assistance to current contributors when
the need arises.

Objectives

The fundamental objective of this Program is to produce a rehable
fund of nationwide criminal statistics for administrative and opera-
tional use of law enforcement agencies and executives. At the same
time, meaningful data is provided for other professionals with related
interests in the crime problem and for scholars, as well as to inform
the public of general crime conditions.

Specifically, the means utilized to attain these goals are: (1) an
attempt is made to measure the extent, fluctuation and distribution
of serious crime in the United States through the use of a Crime
Index consisting of seven selected offenses. 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 pohce 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 en-
forcement agency is wholly responsible for compihng its own crime
reports for submission to the FBI. Each contributor is supphed with
the Uniform Crime Reporting Handbook which outhnes in detail pro-
cedures for scoring and classifying offenses. The Handbook illus-
trates 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.

In October, 1963, the FBI initiated the publication of a Uniform
Crime Reporting ' 'Newsletter." The first issue dealt exclusively
with the forthcoming changes in the Program. Subsequent issues
have presented informative and instructional material to assist con-
tributors and to clarify questions most frequently raised by contrib-
uting agencies. Publication of the ' 'Newsletter" will continue
periodically when the need is indicated.

Recognizing that a sound records system is necessary if crime re-
porting 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 nec-
essary under this uniform system.

On a monthly basis, city police, sheriffs and state police report

39

732-088° — 64 4

the number of offenses that become known to them in the following
crime categories: criminal homicide, forcible rape, robbery, 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 b}^ 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 prose-
cutive policy, or any other consideration. Police agencies report on
a monthly basis the total number of these crimes which they clear
by arrest and, separately, the crimes cleared by the arrest of persons
under 18 years of age. Police additionally report certain other
analytical data pertaining to specific crime categories including total
arrests made for the month for all criminal acts separated as to adults
and juveniles.

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
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 1963, crime reports were received from
law enforcement agencies representing 98 percent of the total United
States population living in standard metropolitan statistical areas, 91
percent of the population in other cities, and 77 percent of the rural
population. The combined coverage accounts for 92 percent of the
national 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. In addition, statistics are presented in
certain tables relative to ^'suburban'' areas. A suburban area con-
sists of cities with 50,000 or less population together with counties
which lie within a standard metropolitan statistical area. The
suburban area concept is used because of the peculiar crime conditions
which exist in these communities surrounding the major core cities.
These metropolitan areas are not rural in nature, yet neither are they
comparable to large cities although they have many of the problems
identified with the latter.

40

Verification Processes

Uniformity of crime data collected under this Program is of primary
concern to the FBI as the national clearinghouse. With the receipt
of reports covering approximately 8,000 jurisdictions, prepared 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 contrary, 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.

Variations in the level and ratios among the crime classes established
by previous reports of each agency are used as a measure 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 1963,
over 13,000 letters were addressed to contributors primarily as a
result of verification and evaluation processes. Correspondence
with contributors is the principle tool for supervision of quality. Not
only are the individual reports studied, but also periodic trends for
individual reporting units are prepared, as are crime rates in descending
order for all units grouped for general comparability to assist in detect-
ing variations and fluctuations possibly due to some reason other than
chance. For the most part, the problem is one of keeping the con-
tributors 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 organizations.

Uniform Crime Keporting has been taught to all law enforcement
officers attending the FBI National Academy. The Academy was
established in 1935, and there are 2,820 graduates who are still in law
enforcement, over 29 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 Pro-
gram 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 calendar year 1963, Special
Agents of the FBI continued to be used for contacts with contributors
on Uniform Crime Reporting matters.

41

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 lACP. 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-
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 reason, 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 1963 crime totals for the Index of Crime classi-
fications. 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 uiireported 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 contrib-
uting 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 tabu-

42

lations. On the other hand, crime rate tables by state and standard
metropohtan statistical area contain the most rehable reports avaihible
for the current year, and care should be exercised in any direct com-
parisons with prior issues. Changes in crime level may have been
due in part to improved reporting or records procedures rather than
to chance.

Population Data

In computhig crime rates by state, geographic division, and the
Nation as a whole, population estimates released by the Bureau of
the Census on October 4, 1963, were used. Population estimates
for individual cities and counties were prepared by using Special
Census Reports, state sources and estimates, commercial sources,
and extrapolation where no other estimate was available. Complete
1963 population estimates for individual cities and counties were
used from eight states while official sources in other states provided
limited data which was used selectively. The estimated United
States population increase in 1963 was 1.5 percent over 1962, according
to figures published by the Bureau of the Census.

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 classifi-
cations. These are aimed at the clarification of any misunderstand-
ings 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 person by a peace officer
in line of duty; (2) the killing of a person in the act of committing a

43

felony by a private citizen, (b) Manslaughter by negligence: any
death which the police investigation establishes was primarily attribut-
able 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
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. Arson. — Willful or malicious burning with or without intent to
defraud. Includes attempts.

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

11. Fraud. — Fraudulent conversion and obtaining money or prop-
erty by false pretenses. Includes bad checks except forgeries and
counterfeiting.

12. Embezzlement. — Misappropriation or misapplication of money
or property entrusted to one's care, custody or control.

13. Stolen property; buying, receiving, possessing. — Buying,
receiving, and possessing stolen property and attempts.

14. Vandalism. — Willful or malicious destruction, injury, dis-
figurement or defacement of property without consent of the owner
or person having custody or control.

44

15. 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.

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

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

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

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

20. Offenses against the family and children. — Nonsupport,
neglect, desertion, or abuse of family and children.

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

22. Liquor laws. — State or local liquor law violations, except
''drunkenness" (class 23) and ''driving under the influence" (class 21).
Excludes Federal violations.

23. Drunkenness. — Drunkenness or intoxication.

24. Disorderly conduct. — Breach of the peace.

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

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.

Beginning in 1964, arrests for curfew and loitering law violations
and runaways are also being collected separately for young persons
under 18 years of age.

45

The Index of Crime, 1963

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 fii'st 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.

46

0

>>i3

^^

lilt

o

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05 . O .-I . o -^ .

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eo CO CO

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"OCOCO r-l OS O CO 05 (M

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p.

TJ

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2^1

/^b

§

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■-^3 a

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.S

03

£H,

■?£

^

n^ f^

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"c S

fit-

8 a

o

c3 ^.

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52

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47

Table 2. — Index of Crime by Geographic

[Number and rate per 100,000 inhabitants;

United States Total.
Percent change.

New England

Percent change.
Connecticut

Maine

Massachusetts...
New Hampshire.

RhodI Island

Vermont

Middle Atlantic.

Percent change.

New Jersey

New York

Pennsylvania-

East North Central.

Percent change-
Illinois

Indiana

Michigan..

Ohio

Wisconsin-

West North Central.

Percent change.
Iowa

Kansas

Minnesota

Missouri

Nebraska

North Dakota -
South Dakota.

South Atlantic 2...

Percent change.
Delaware

Florida.
Georgia-

Year

1962
1963

1962
1963
1962
1963
1962
1963
1962
1963
1962
1963
1962
1963

1962
1963

1962
1963
1962
1963
1962
1963

1962
1963

1962
1963
1962
1963
1962
1963
1962
1963
1962
1963

1962
1963

1962
1963
1962
1963
1962
1963
1962
1963
1962
1963
1962
1963
1962
1963

1962
1963

1962
1963
1962
1963
1962
1963

Population

185, 822, 000
188. 631, 000

10, 644, 000
10, 769, 000

597, 000
666, 000
999, 000
982, 000
161, 000
218, 000
632, 000
627, 000
865, 000
885, 000
390, 000
390, 000

35, 023, 000
35, 603, 000

6, 245, 000
6, 470, 000
17, 402, 000
17, 708, 000
11,376,000
11,424,000

37, 041, 000
37. 226, 000

10, 146, 000
10, 182, 000
4, 715, 000
4, 694, 000
7, 991, 000
8,116,000
10, 097, 000
10, 173. 000
4, 092, 000
4, 061, 000

15, 664, 000
15, 664, 000

2. 777, 000
2, 780, 000
2. 219, 000

2, 225. 000

3, 475. 000

3, 500. 000

4. 346, 000
4, 328. 000
1, 484, 000
1, 460, 000

642. 000
634. 000
721,000
737, 000

27,121.000
27, 705, 000

469. 000
476. 000
5. 459, 000
5, 652, 000
4, 100. 000
4, 140, 000

Total offenses

Number

Rate per

100,000

2, 050, 624

1, 103. 5

2,259,081

1. 198. 3

+10.2

+8.6

94, 120

884.2

107, 398

1, 005. 6

+14.1

+ 13.7

20, 525

790.3

25, 980

974.5

5,252

525.7

5,360

545.8

53, 162

1, 030. 1

59, 333

1, 137. 1

3,308

523.4

3,330

531.1

9,603

1,110.2

10, 789

1, 219. 1

2,270

582.0

2,606

668.2

349, 594

998.2

395, 903

1,112.0

+ 13.2

+ 11.4

70. 296

1, 125. 6

79. 866

1, 234. 4

199, 617

1, 147. 1

228, 385

1, 289. 7

79, 681

700.4

87, 652

767.2

418, 528

1, 129. 9

437. 153

1, 174. 3

+4.5

+3.9

171, 449

1, 689. 7

166, 980

1, 640. 0

45, 131

957.2

51, 128

1, 089. 2

103, 368

1, 293. 6

109, 450

1, 348. 6

77, 500

768.1

85, 444

839.9

21, 020

513.7

24. 151

594.7

128, 162

818.2

140, 726

898.4

+9.8

+9.8

15. 108

544.0

16. 039

577.0

15, 745

709.6

17, 413

782.6

27. 366

787.5

30, 240

864. 0

54. 384

1.251.3

60, 030

1,387.0

8.739

588.9

9,689

663. 6

2.635

410.4

2.998

472.9

4. 185

580. 4

4,317

585.7

274, 832

1,013.4

313. 796

1. 132. 5

+ 14.2

+11.8

4.999

1. 065. 8

5, 849

1,228.7

77, 630

1,422.1

90, 008

1. 592. 4

41.798

1,019.5

45. 803

1.106.3

Murder and
nonnegligent
manslaughter

8,404
8,504
+1.2

166

201

+21.1

34

47

14

19

95

101

15

20

7

12

1

2

1,122

1,115

-.6

187
181
628
669
307
265

1,320

1,296

-1.8

537

523

165

129

260

268

321

306

37

70

423

407

-3.8

31

35

63

57

33

41

241

223

23

29

8

13

24

9

2,093

2,141

+2.3

18

22

420

463

422

390

100,000

4.5
4.5

1.6

1.9

+18.8

1.3

1.8

1.4

1.9

1.8

1.9

2.4

3.2

.8

1.4

.3

.5

3.2
3.1
-3.1
3.0

2.8
3.6
3.8
2.7
2.3

3.6
3.5
-2.8
5.3
5.1
3.5
2.7
3.3
3.3
3.2
3.0
.9
1.7

2.7
2.6
-3.7
1.1
1.3
2.8
2.6
.9
1.2
5.5
5.2
1.5
2.0
1.2
2.1
3.3
1.2

7.7
7.7

3.8
4.6

7.7
8.2
10.3
9.4

Forcible rape

16,313

16, 404

+.6

429

443

+3.3

81

88

28

36

256

236

22

30

18

20

24

33

2,579

2,562

-.7

510

561

1,172

1,120

897

881

3,723

3,525

-5.3

1,884

1,416

261

343

960

1,034

520

617

98

115

1,086
1,094

+.7
105
100
147
148
124
91
548
592
93
102
27
22
42
39

2, 063

2. 159

+4.7

40

39

318

398

439

396

See footnotes at end of table.

48

Divisions and States, 1962-63

percent change over 1962]

Larceny $50 and

Robbery

Aggravated assault

Burglary

over

Auto theft

Number

Rate per

Number

Rate per

Number

Rate per

Number

Rate per

Number

Rate per

100,000

100,000

100,000

100,000

100,000

96, 260

61.3

139, 626

76.1

892, 756

480.4

639, 893

290.6

358, 374

192.9

100, 168

63.1

147, 767

78.4

976, 879

517.6

611,391

324.3

398, 990

211.6

+5.1

+3.6

+6.8

+4.4

+9.3

+7.7

+13.2

+11.6

+ 11.3

+9.7

1,815

17.1

2,419

22.7

41, 390

388.8

24, 377

229. 0

23, 524

221.0

2,062

19.3

2,741

25.7

46, 421

434.7

27, 142

254.1

28, 388

270.3

+13.6

+ 12.9

+13.3

+13.2

+ 12.2

+ 11.8

+11.3

+ 11.0

+20.7

+22.3

258

9.9

565

21.8

10, 259

395.0

5,530

212.9

3,798

146.2

366

13.7

691

25.9

12, 553

470. 9

7,332

275.0

4, 903

183. 9

78

7.8

111

11.1

2,706

270.9

1,457

145.8

858

85.9

64

6.5

132

13.4

2,617

266.5

1,536

156.4

956

97.3

1,331

25.8

1,341

26.0

21, 181

410.4

13, 290

257.5

15, 668

303. 6

1,409

27.0

1,502

28.8

23, 121

443.1

13, 865

265. 7

19, 099

366.0

22

3.5

119

18.8

1,781

281.8

811

128.3

538

8.5.1

43

6.9

71

11.3

1,751

279.3

844

134.6

571

91.1

108

12.6

269

31.1

4,002

462.7

2,887

333.8

2,312

267.3

153

17.3

315

35.6

4,765

538.4

3,126

353.2

2,398

271.0

18

4.6

14

3.6

1,461

374.6

402

103.1

350

89.7

27

6.9

30

7.7

1,614

413.9

439

112.6

461

118.2

14, 862

42.4

23, 604

67.4

136, 129

388.7

108, 342

309.3

62, 956

179.7

16, 153

45.4

25, 428

71.4

150, 291

422.1

125, 044

351.2

75, 310

211.5

+8.7

+7.1

+7.7

+5.9

+10.4

+8.6

+ 15.4

+13.5

+19.6

+17.7

2,816

45.1

3,889

62.3

31,868

510.3

16, 385

262.4

14, 641

234.4

3,367

52.0

4,227

65.3

35, 993

556.3

18, 711

289.2

16, 826

260.1

7,622

43.8

14, 156

81.3

67, 303

386.7

75, 699

435.0

33, 037

189.8

8,131

45.9

15, 051

85.0

74, 574

421.1

88, 289

498.6

40, 551

229.0

4,424

38.9

5,559

48.9

36, 958

324.9

16, 258

142.9

15, 278

134.3

4,655

40.7

6,150

53.8

39, 724

347.7

18, 044

157.9

17. 933

157.0

32, 378

87.4

29, 076

78.5

168, 494

454.9

103, 329

279.0

80, 208

216.5

32, 414

87.1

25, 838

69.4

175, 445

471.3

112, 201

301.4

86, 434

232. 2

+.1

-.3

-11.1

-11.6

+4.1

+3.6

+8.6

+8.0

+7.8

+7.3

20, 442

201.5

15, 149

149.3

56, 377

555.6

39, 350

387.8

37, 710

371.7

19, 193

188.5

11, 784

115.7

55,117

541.3

40, 093

393.8

38, 854

381.6

1,768

37.5

1,709

36.2

20, 605

437.0

11,905

252.5

8,718

184.9

2,163

46.1

1,859

39.6

23, 495

500.5

13, 619

290.1

9,520

202.8

5,990

75.0

8,116

101.6

46, 857

586.4

25, 426

318.2

15,759

197.2

6,520

80.3

7,749

95.5

47, 867

589.8

27, 884

343.6

18, 128

223.4

3,830

37.9

3,528

34.9

35, 898

355.5

19, 682

194.9

13, 781

136.5

4,145

40.7

3,836

37.7

39, 382

387.1

22, 113

217.4

15, 045

147.9

348

8.5

574

14.0

8,757

214.0

6,966

170.2

4,240

103.6

393

9.7

610

15.0

9,584

236.0

8,492

209.1

4,887

120.3

5,597

35.7

5,393

34.4

60, 604

386.9

33, 967

216.8

21,092

134.7

6,241

39.8

6,019

38.4

65, 064

415.4

38, 541

246.0

23, 360

149.1

+11.5

+11.5

+11.6

+11.6

+7.4

+7.4

+13.5

+13. 5

+10.8

+10.7

238

8.6

185

6.7

7.326

263.8

5,186

186.7

2,037

73.4

253

9.1

241

8.7

7,516

270.4

5,629

202.5

2,265

81.5

480

21.6

722

32.5

7,531

339.4

4,533

204.3

2,269

102.3

648

29.1

879

39.5

8,234

370.1

5,045

226.7

2,402

108.0

1,028

29.6

474

13.6

12, 555

361.3

8,157

234.7

4,995

143.7

1,186

33.9

645

18.4

13, 355

381.6

9,748

278.5

5,174

147.8

3,474

79.9

3,630

83.5

26, 238

603.7

11,471

263.9

8,782

202.1

3,788

87.5

3,850

89.0

28, 644

661.8

12, 532

289.6

10, 401

240.3

275

18.5

233

15.7

3,894

262.4

2,425

163.4

1,796

121.0

227

15.5

221

15.1

4,290

293.8

2,989

204.7

1,831

125.4

40

6.2

53

8.3

1,217

189.6

754

117.4

536

83.6

61

9.6

86

13.6

1,207

190.4

998

157.4

611

96.4

62

8.6

96

13.3

1,843

255.6

1,441

199.9

677

93.9

78

10.6

97

13.2

1,818

246.7

1,600

217.1

676

91.7

10,401

38.4

29, 756

109.7

124, 272

458.2

66, 544

245.4

39, 703

146.4

11,938

43.1

32, 796

118.4

140, 824

508.3

78, 902

284.8

45, 036

162.5

+14.8

+12.2

+10.2

+7.9

+13.3

+10.9

+ 18.6

+16.1

+13.4

+11.0

135

28.8

89

19.0

2.608

556.1

1,267

270.1

842

179.5

175

36.8

117

24.6

3,120

655.4

1,434

301.3

942

197.9

3,457

63.3

5,437

99.6

40, 575

743.3

18, 236

334.1

9,187

168.3

4,017

71.1

6,282

111.1

46, 604

824. 5

22, 569

399.3

9,675

171.2

1,301

31.7

3,473

84.7

18, 872

460.3

9.439

230.2

7,852

191.5

1,410

34.1

4,148

100.2

19, 400

468.6

11,461

276.8

8,598

207.7

49

Table 2. — Index of Crime by Geographic

Area

South Atlantic— Con.
Maryland

North Carolina.
South Carolina.

Virginia

West Virginia..

East South Central.

Percent change .
Alabama

Kentucky- .

Mississippi .
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

1962
1963
1962
1963
1962
1963
1962
1963
1962
1963

1962
1963

1962
1963
1962
1963
1962
1963
1962
1963

1962
1963

1962
1963
1962
1963
1962
1983
1962
1963

1962
1963

1962
1963
1962
1963
1962
1963
1962
1963
1962
1963
1962
1963
1962
1963
1962
1963

1962
1963

1962
1963
1962
1963
1962
1963
1962
1963
1962
1963

Population

191, 000
289, 000
731,000
760, 000
436, 000
483, 000
177, 000
331, 000
1, 773, 000
1,778,000

12, 323, 000
12, 425, 000

3, 358, 000
3, 347, 000
3, 082, 000
3, 095, 000
2, 248, 000

2, 290, 000

3, 634, 000
3. 694, 000

17, 718, 000

18, 087, 000

1,823,000

1, 858, 000
3, 330, 000
3, 418, 000

2, 448, 000
2, 487, 000

10,116,000
10,323,000

7, 510, 000
7, 645, 000

1, 509, 000

1,559,000

1, 907, 000

1, 961, 000

698, 000

713, 000

709, 000

707, 000

335, 000

368, 000

1, 020, 000

1, 018, 000

967, 000

983, 000

365, 000

337, 000

22, 779, 000

23, 407, 000

246, 000
248, 000

16, 970, 000

17, 590, 000

693, 000

694, 000
1,864,000
1,826,000
3, 006, 000
3, 050, 000

Murder and

1

Total 0

ffenses

nonnegligent

Forcible rape I

manslaughter

Number

Rate per

Number

Rate per

Number

Rate per

100,000

100,000

100,000

33, 654

1,054.6

183

5.7

279

8.7

40, 321

1,225.9

207

6.3

308

9.4

34,016

719.0

353

7.5

352

7.4

37, 587

789.6

370

7.8

336

7.1

22. 764

934. 6

247

10.1

164

6.7

27, 192

1, 095. 1

249

10.0

143

5.8

36, 686

878.3

293

7.0

308

7.4

40,115

926.2

249

5.8

374

8.6

8,099

456.8

66

3.7

75

4.2

8.422

473.7

95

5.3

74

4.2

96, 427

782.5

901

7.3

732

5.9

103, 544

833.4

915

7.4

703

5.7

+7.4

+6.5

+1.6

+1.4

-4.0

-3.4

26, 060

776.0

316

9.4

218

6.5

28, 409

848.8

340

10.2

192

5.7

26, 928

873.7

201

6.5

177

5.7

28, 672

926.4

172

5.6

166

5.4

10. 035

446. 4

164

7.3

96

4.3

9,005

393.2

164

7.2

98

4.3

33, 404

919.2

220

6.1

241

6.6

37, 458

1,014.0

239

6.5

247

6.7

179, 553

1, 013. 3

1,222

6.9

1,478

8.3

200, 078

1,106.3

1,258

7.0

1,543

8.5

+ 11.4

+9.2

+2.9

+1.4

+4.4

+2.4

10,822

593.6

144

7.9

124

6.8

12. 043

648.2

137

7.4

113

6.1

27, 577

828.1

225

6.8

226

6.8

33, 860

990.6

235

6.9

212

6.2

25, 461

1, 040. 1

126

5.1

182

7.4

26, 763

1, 076. 2

129

5.2

200

8.0

115,693

1,143.7

727

7.2

946

9.4

127,412

1.2.34.3

757

7.3

1,018

9.9

102, 836

1,369.3

341

4.5

851

11.3

112,310

1, 468. 9

339

4.4

883

11.5

+9.2

+7.2

-.6

-2.2

+3.8

+ 1.8

27, 370

1,813.2

86

5.7

198

13.1

30, 171

1,935.3

93

6.0

222

14.2

29, 801

1, 562. 8

96

5.0

283

14.8

30, 090

1, 534. 5

94

4.8

285

14.5

5,585

800.2

21

3.0

25

3.6

5,614

787.4

18

2.5

39

5.5

6,800

959.1

15

2.1

52

7.3

7,977

1,128.3

14

2.0

59

8.3

8,184

2, 442. 9

27

8.1

66

19.7

11,004

2, 990. 1

29

7.9

60

16.3

12, 393

1,215.0

62

6.1

123

12.1

13,374

1,313.7

55

5.4

120

11.8

10, 074

1,041.8

22

2.3

76

7.9

11, 082

1,125.4

24

2.4

77

7.8

2,629

720.4

12

3.3

28

7.7

3.018

895.6

12

3.6

21

6.2

406, 572

1,784.9

816

3.6

3,372

14.8

448, 173

1,914.6

832

3.6

3,492

14.9

+ 10.2

+7.3

+2.0

+3.6

+.7

2,625

1,067.1

11

4.5

46

18.7

3,202

1,291.1

16

6.5

37

14.9

343, 498

2, 024. 2

657

3.9

2,946

17.4

380, 690

2, 164. 2

673

3.8

3,080

17.5

9,383

1,353.7

20

2.9

17

2.5

9,418

1,357.0

12

1.7

18

2.6

19, 026

1,020.7

54

2.9

174

9.3

20, 865

1,142.7

55

3.0

161

8.8

32, 040

1, 065. 8

74

2.5

189

6.3

33, 998

1,114.7

76

2.5

196

6.4

1 Population for each State for 1962 and 1963 is Bureau of the Census provisional estimate as of July 1,
and subject to change. All rates were calculated on the estimated population before rounding.

50

Divisions and States, 1962-63 — Continued

Larcenj

$50 and

Robbery

Aggravated assault

Burglary

over

Auto theft

Xumber

Rate per

Number

Rate per

Number

Rate per

Number

Rate per

Xumljer

Rate per

100,000

100,000

100,000

100,000

100,000

1,340

42. 0

2,722

85.3

12,886

403.8

10,018

313.9

6,226

195. 1

1,721

52.3

2, 664

81.0

15, 968

485. 5

11.639

353. 9

7,814

237. 6

786

16.6

7. 864

166. 2

13, 606

287.6

7,144

151.0

3,911

82.7

849

17.8

8, 295

174.3

14, 757

310.0

8,447

177.5

4, 533

95. 2

467

19.2

2, 125

87.2

10. 929

448.7

6,110

250. 8

2,722

111.7

535

21.6

3,140

126.5

12, 697

611.4

7,257

292.3

3,171

127.7

1,031

24.7

4,435

106. 2

15, 885

380.3

9,653

231. 1

5,081

121.6

1,221

28.2

4, 676

108.0

17, 208

397.3

10, 890

251. 4

5, 497

126. 9

273

15.4

584

32.9

3,837

216. 4

2, 000

112.8

1,264

71.3

260

14.6

603

33.9

4, 023

226.3

2, 051

115.4

1.316

74.0

3,321

27.0

8, 510

69.1

46, 218

375. 1

23. 395

189.9

13, 350

108.3

3,176

25.6

9,048

72.8

49, 222

396.2

26, 234

211. 1

14, 246

114.7

-4.4

-5.2

+6.3

+5.4

+6.5

+5.6

+12.1

+ 11.2

+6.7

+5.9

754

22.5

3,570

106.3

11,522

343.1

6,879

204.8

2,801

83.4

828

24.7

4,249

127.0

12, 399

370.5

7,368

220.1

3,033

90.6

1,122

36.4

1,412

45.8

12, 809

415. 6

7,638

247.8

3,569

115. 8

1,109

35.8

1,353

43.7

13, 508

436.5

8,399

271.4

3,965

128.1

179

8.0

1,488

66.2

5,115

227. 5

1, 759

78.2

1,234

54.9

191

8.3

1,203

52.5

4,259

186.0

1,964

85.8

1,126

49.2

1,266

34.8

2,040

56.1

16, 772

461.6

7,119

195.9

5,746

158.1

1,048

28.4

2,243

60.7

19, 056

515.9

8. 503

230. 2

6.122

165. 7

5,794

32.7

15, 049

84.9

85, 538

482.7

41,757

235.7

28, 715

162. 1

6,530

36.1

17.881

98.9

94, 083

520.2

48, 636

268.9

30,147

166. 7

+12.7

+10.4

+18.8

+16.5

+10.0

+7.8

+16.5

+14.1

+5.0

+2.8

400

21.9

878

48.2

5, 127

281.2

2,919

160.1

1,230

67.5

466

25.1

1,120

60.3

5,491

295.5

3,304

177.8

1,412

76.0

1,298

39.0

2,446

73.5

10, 891

327.1

6,354

190.8

6,137

184.3

1,446

42.3

3,386

99.1

13, 528

395. 8

8,283

242.3

6,770

198.1

958

39.1

1,156

47.2

11,929

487.3

6,284

256.7

4,826

197.1

981

39.5

1,431

57.5

12, 659

509.0

6,657

267.7

4,706

189.2

3,138

31.0

10, 569

104.5

57, 591

569.3

26, 200

259.0

16, 522

163. 3

3.637

35.2

11.944

115.7

62. 405

604.5

30, 392

294.4

17,259

167. 2

3,714

49.5

3,876

51.6

43, 274

576.2

30. 377

404.5

20. 403

271.7

3,581

46.8

.4,273

55.9

47, 979

627.5

34. 014

444.9

21,241

277.8

-3.6

-5.5

+10.2

+8.3

+10.9

+8.9

+12.0

+10.0

+4.1

+2.2

851

56.4

1,340

88.8

11.693

774.6

7.806

517.1

5,396

357.5

897

57.5

1,649

105.8

12, 944

830.3

8,629

553.5

5,737

368.0

1,624

85.2

931

48.8

12, 988

681.1

7,735

405.6

6,144

322 *?

1,340

68.3

789

40.2

13, 149

670.6

8,423

429.5

6,010

306.5

63

9.0

125

17.9

2,458

352.2

2, 063

295.6

830

118.9

87

12.2

218

30.6

2,405

337.3

2.147

301.1

700

98.2

141

19.9

154

21.7

2.941

414.8

1.906

268.8

1,591

224.4

146

20.7

165

23.3

3.380

478.1

2.480

350.8

1,733

245.1

357

106.6

261

77.9

2,971

886.8

2,815

840.3

1,687

503.6

437

118.7

229

62.2

4, 221

1,147.0

3,553

965. 5

2,475

672. 5

4-10

40.2

771

75.6

5.015

491. 7

3.784

371.0

2,228

218.4

377

37.0

859

84.4

5,801

569.8

3.863

379.5

2,299

225.8

217

22.4

239

24.7

4.170

431.2

3.319

343. 2

2,031

210.0

225

22 9

272

27.7

4,916

500.1

3,722

378.7

1,826

185.8

51

14.0

55

15.1

1,038

284.4

949

260. 0

496

135.9

72

21.4

92

27.3

1.163

345.1

1.197

355.2

461

136. 8

17, 378

76.3

21,942

96.3

186, 836

820.2

107.805

473.3

68, 423

300.4

18, 061

77.2

23. 733

101.4

206. 550

882.4

120, 677

515.5

74, 828

319.7

+3.9

+1.2

+8.2

+5.3

+10.6

+7.6

+11.9

+8.9

+9.4

+6.4

34

13.8

134

54.5

865

351.6

975

396.3

560

227.6

55

22.2

164

66.1

946

381.5

1.097

442.3

887

357.7

15, 598

91.9

20, 548

121. 1

158,523

934.1

87, 671

516.6

57, 555

339.2

16, 458

93.6

22,103

125.7

175, 703

998.9

98, 956

562.6

63, 717

362.2

120

17.3

99

14.3

4,485

647.1

2,429

350.4

2,213

319.3

80

11.5

105

15.1

4,944

712.4

2, 585

372.5

1,674

241.2

714

38.3

519

27.8

8,268

443.6

6.533

350.5

2. 764

148.3

554

30.3

623

34.1

8,823

483.2

7, 526

412 2

3, 123

171.0

912

30.3

642

21.4

14, 695

488.8

10,197

339.2

5,331

177.3

914

30.0

738

24 2

16, 134

529.0

10,513

344.7

5,427

177.9

2 Includes the District of Columbia.

51

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^s

General United Stales Crime Statistics

The data presented in this section are primarily of value to law
enforcement executives, news media and others for the purpose of
comparing the crime experience of a community with the averages
reported nationally by comnmnities of similar size. Crime trends and
rates are tabulated by grouping places according to population size.
Police performance in clearing crimes by arrest is presented by
population group and geographic division.

National city averages are also shown indicating the type and value
of the property stolen, by ofTense and type, and value recovered by
police investigation. Robbery, burglary, and larceny-theft are
examined by type, as well as where and when they occurred.

City, suburban, and rural area 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.

Statistical data relating to suburban areas are being provided this
year for the use of law enforcement officials in suburban communities
in making limited comparisons. Places used to establish totals for
suburban areas include cities with 50,000 or less population and county
law enforcement agencies in standard metropolitan statistical areas,
as defined on page 40.

It is important to remember in studying averages that usually about half
the units used must be above and about half below. National aver-
ages can provide the police administrator with valuable guidance in
analyzing 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.

732-688° — 64-

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91

Table 7. — City Crime Trends, 1963 versus Average 1958-62

[Offenses known to the police in 3,024 cities over 2,500; 1963 estimated population 97,121,000]

Offense

TOTAL.

Murder and nonnegligent manslaughter

Manslaughter by negligence

Forcible rape

Robbery

Aggravated assault

Burglary— breaking or entering

Larceny— theft:

SfiO and over

Under $"0

Auto theft

Number of ofTenses

Average
l;)58-62

2,1G0,622

4,170

2,751

8,097

55, 178

80, 853
502, 250

319,876
964, 688
222, 759

1963

2, 651, 045

4,666

3,093

8,904

65, 913

94, 943
617,517

412,451
, 162, 688
280, 870

Percent
change

+22.7

+ 11.9
+ 12.4
+ 10.0
+ 19.5

+ 17.4
+23. 0

+28.9

+20. 5
+26. 1

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96

Table 10. — Disposition of Persons Formally Charged by the Police, 1963

[1,787 cities; 1963 estimated population 51,695,000]

Offense

Charged
(held for
prosecu-
tion)

Percent of persons charged

Guilty

OlTense
charged

Lesser
offense

Acquitted

or
dismissed

Referred

to

juvenile

court

TOTAL (less traffic)

Criminal homicide:

(a) Murder and nonnegligent man-
slaughter

(6) Manslaughter by negligence

Forcible rape

Robbery

Aggravated assault

Burglary— breaking or entering

Larceny— theft

Autotheft

Other assaults

E mbezzlement 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

Traffic and motor vehicle laws

1, 762, 619

1, 735

742

2, 830
13, 270
24, 953

55, 728

116,799
33, 362
73, 637
18, 200
6,079
9,696
9,467

23, 997

14,013
15, 467
20, 240
53, 384

83, 487
242, 859
640, 025

54,314

48, 865
199, 464

16, 592, 820

43.8
41.0

31.7
41.0
27.5
31.2

42.6
23.2
53.1
68.0
39.1
64.0
73.5

56.6

53.2
56.4
59.0
66.5

81.3

75.8
87.9

82.5

57.2
54.2

91.5

2.4

22.9
10.5

17.6
10.8
21.7
9.5

3.5
7.4
3.5
6.1
6.9
13.1
2.6

6.7

6.3
5.8
2.0
1.0

9.4
.4
.1

2.5
1.2

16.0

26.7
42.3

31.6

17.6
37.2
9.4

12.0
11.6
34.1
23.9
32.7
14.7
23.0

18.5

37.2
22.1
31.3
15.3

8.9
16.8
11.3
14.1

39.9
17.7

7.0

11.9

6.5
6.2

19.2
30.6
13.6
49.9

41.8

57.8

9.4

2.0

21.4

8.2

18.2

3.3

15.7
7.7
17.2

.4

7.0
.7

2.8

.5
27.0

.5

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

of in 1963

[1,679 cities; 1963 estimated population 52,329,000]

Type

TOTAL

Murder
and non-
negligent

man-
slaughter

Forci-
ble
rape

Rob-
bery

Aggra-
vated
assault

Bur-

glarj--

break-

ing or

entering

Lar-
ceny-
theft

Auto
theft

1, 375, 969

331, 8G6

24.1

308, 474

257, 699
83.5

90, 495
29.3

20, 515
6.7

36, 629
11.9

106, 494
34.5

2,340
2,140
91.5

2,458

1,898
77.2

825
33.6

399
16.2

476
19.4

118

4.8

4,469

3,228

72.2

3,638

2,883
79.2

928
25.5

498
13.7

925
25.4

545
15.0

32, 645

13, 397

41.0

17, 263

13, 767
79.7

5,601
32.4

1,473
8.5

2,389
13.8

4,149
24.0

45, 975

34, 198

74.4

30, 712

26, 390
85.9

7,040
22.9

5,548
18.1

9,432
30.7

3,475
11.3

304, 774

81,172

26.6

67, 916

57, 062
84.0

17,511

25.8

5,300

7.8

5,340
7.9

28, 328
41.7

836, 629
157, 701

18.8

146, 852

121, 221
82.5

50,841
34.6

4,800
3.3

14, 184
9.7

50, 126
34.1

149, 137

Offenses cleared

39, 970

26.8

ARRESTS

39, 635

Total persons charged

Percent of arrests

34, 478
87.0

Guiltv - - --- ---

7,749

19.6

Guilty of lesser offense

Percent of arrests

2,497
6.3

Acquitted and dismissed

Percent of arrests

3,883
9.8

Referred to juvenile court

19, 753
49.8

97

Table 12. — Police Disposition of Juvenile Offenders Taken Into Custody, 1963

[1963 estimated population]

Population group

Total 1

Handled
within
depart-
ment and
released

Referred
to juve-
nile coiu-t
juris-
diction

Referred

to welfare

agency

Referred

to other

police

agency

Referred
to crim-
inal or
adult
court

TOTAL

3,024 agencies ; total population 86,987,000 :

706, 252
2 100. 0

351,959
49.8

316,619

44.8

10, 050
1.4

20, 645
2.9

8,979
1.0

Percent

TOTAL CITIES

2,360 cities; total population 71,694,000:

638, 575
100.0

318,075
50.0

288,611
45.0

8,421
1.3

18, 048
2.8

5,420
9

Percent

GROUP I

40cltiesover250,000; population 26,846,000:
Number . . .

217,888
100.0

94, 495
43.4

116, 202
53.3

2,805
1.3

4,121
1.9

265

1

GROUP II

57 cities, 100,000 to 250,000; population
8,221,000:

77, 183
100.0

35, 092
45.5

39, 304
50.9

917
1.2

1,253
1.6

617

Percent

.8

GROUP III

138 cities, 50,000 to 100,000; population
9,402,000:
Number

92, 374
100.0

51, 858
56.1

34, 865
37.7

1,468
1.6

3,594
3.9

589

Percent

.6

GROUP IV

268 cities, 25,000 to 50,000; population
9,321,000:
Number _. -. _ _

90, 449
100.0

49, 572
54.8

35, 685
39.5

1,276
1.4

3,098
3.4

818

Percent

.9

GROUP V

721 cities, 10,000 to 25,000; population
11.331,000:
Number _ ___ _ _

99, 468
100.0

54, 757
55.0

38, 061
38.3

1, 136
1.1

3,820
3.8

1 694

Percent

1.7

GROUP VI

1,136 cities under 10,000; population
6,574,000:

Number

Percent

59, 213
100.0

32, 301
54.6

22, 494
38.0

819
1.4

2,162
3.7

1,437
2.4

SUBURBAN AREA 3

1,186 agencies; population 22,937,000:
Number _._ . . .

176, 008
100 0

103. 944
59 1

62, 392
35 4

1,716
1 0

6,563

3 7

1,393

Percent-..

8

RURAL AREA

554 agrencies; population 7,732,000:
Number _ .

33, 773
100.0

15,025
44.5

14, 501
42.9

1,103
3.3

1,929
5.7

1,215

Percent . -

3 6

1 Traflic and neglect cases not included.

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

3 Agencies and population represented in suburban area are also included in other city groups.

1)8

Table i:^.— Monthly Variations, l*f63

[Daily average, offenses known to the police in 3,986 cities; 1963 estimated population 111,554,000]

Month

January-December

January-March. - .

April-June

July-September- . .
October-December

January

February

March

April

May

June

July

August

September

October

November

December

Criminal liomicidc

Murder

and
nonneg-
ligent
man-
slaughter

14.7

13.2
14.3

16.4
14.9

11.5
13.5
14.5
13.5

14.2
15.1
16.5
16.1

16.7
15.6
15.1
14.1

Man-
slaughter
by negli-
gence

10.0

9.2
9.2
10.1
11.5

7.7
9.6
10.4
9.7

9.2
9.3
11.2

10.6
10.6
13.3

Forcible
rape

29.

25.6
30.7
33.8

28.2

24.2
25.4
27.2
27.6

31.5
32.9
35.2
36.5

29.6
31.3
28.1
25.3

Robbery

). 5

241.2
213. 3
231.0
272.4

246.0
244. 6
233.2
220. 5

205. 7
214.0
226.1
237.1

229.7
241.0
277.0
299.2

Aggra-
vated
assault

300.5

252. 6
310.8
335. 8
302. 0

229.8
250. 1
277.7
286. 1

312.7
333. 5
334.0
354. 5

318.2
314.4
291. 3
300.1

Bur-
glary—
l)reak-
ing or
entering

1, 932. 2

1, 901. 5
1,811.1
1, 982. 3
2,031.7

1, 898. 1
1,923.6
1,885.1
1, 853. 2

1,776.6

1, 804. 7
1,951.6

2, 028. 5

1,9B6.3
1,948.4
2, 020. 2
2, 126. 2

Lar-
ceny—
theft

4, S44. 2

4, 270. 9
4, 885. 8
5, 262. 5
4. 945. 7

4, 044. 7
4, 2f)6. 3
4,501.2
4, 862. 4

4, 748. 7
5,051.0
5,351.8

5, 505. 1

4, 919. 6
5, 074. 8
4, 945. 6
4, 816. 8

Auto
theft

911.

842.9
900.7
919.1
980. 5

808.2
824.9
893. 8
922.1

886. 4
894.2
899. 0
930. 2

928. 5

986.6

1,019.1

937. 0

99

Table 14. — Offense Analysis, Trends, 1962-63, and Percent Distribution

[597 cities over 25,000; 1963 estimated population 70,231,000]

Classification

Robbery:

TOTAL,

Highway

Commercial house.

Oil station

Chain store

Residence

Bank

Miscellaneous

Burglary— breaking or entering:
TOTAL

Residence (dwelling) :

Night

Day

Nonresidence (store, office, etc.):

Night

Day

Larcenv— 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

Number of offenses

1962

70. 124

37, 928
14, 865
3,419
1,509
6,855
400
5, 148

478, 424

125, 158

239, 051
27. 219

1,153,909

322, 780
632, 000
199, 1:9

1,153,909

10, 540
17, 184
79, 206
222, 967
236, 217
165, 685
422. 110

1963

72, 881

38, 592
15,918
3, 573
1,811
6,969
662
5, 356

517,431

128, 923
103, 501

258, 971
26, 036

1, 265. 732

357, 388
690, 979
217, 365

1, 265, 732

9,401
19, 354
89, 169
248, 570
255, 673
187, 718
455, 847

Percent
change

+3.9

+ 1.8
+7.1
+4.5

+20.0
+1.7

+65.5
+4.0

+8.2

+3.0
+19.0

+8.3
-4.3

+9.7

+10.7
+9.3
+9.2

+9.7

-10.8
+ 12.6
+ 12.6
+ 11.5

+8.2

+ 13.3

+8.0

Percent
distri-
bution
1963 1

100.0

53.0
21.8
4.9
2.5
9.6
.9
7.3

100.0

20.0

50.0
5.0

100.0

28.2
54.6
17.2

100.0

.7
1.5
7.0
19.6
20.2
14.8
36.0

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

100

Table 15.— Type and Value of Properly Stolen and Recoveied, 1963

[597 cities over 25,000; 1963 estimated population 70,231,000]

Type of property

Value of property

Percent

Stolen

Recovered

recovered

TOTAL

$475, 100, 000

$256, 800, 000

54

Currency, notes, etc .. .. ...

49, 800, 000
42, 400, 000
9,600,000

19, 400, 000
241,900,000
112,000,000

5, 700, 000

2,900,000

400, 000

1,800,000

220. 8fl0. 000

25, 200, 000

12
7
4

10
91
23

Jewelry and i)recious metals

Furs

Clothing

Miscellaneous

Table 16. — Value of Property Stolen, by Type of Crime, 1963

[597 cities over 25,000; 1963 estimated population 70,231,000]

Classification

Number of
offenses

Value of

property

stolen

Average

value per

0 (Tense

TOTAL

2, 117, 583

$475, 100, 000

$224

Robbery.

72, 881

517,431

1,265,732

261, 539

20,100,000
109, 200, 000
103,400.000
242, 400, 000

276

Burglary

211

Larceny— theft - -- . .. .

82

Auto theft

927

Table 17. — Murder Victims — W^eapons Used, 1963

Weapons

Per-

sonal

Num-

Blunt

weap-

Other

Un-

Age

ber

Percent

Cut-

object

ons

E.xplo-

(drown-

known

Gun

ting or
stab-
bing

(club,
ham-
mer,
etc.)

(stran-
gula-
tions
and
beat-
ings)

Poison

sives

ings,
arson,
etc.)

and not
stated

TOTAL

7,549

4,223

1,722

466

683

17

7

228

198

1 100. 0

56.0

22.8

6.2

9.0

.2

.1

3.0

2.6

Infant (under 1)

112

1.5

7

5

3

42

2

30

23

1-4

169

2.2

28

11

23

51

1

39

16

5-9

106

1.4

32

5

13

8

1

27

20

10-14

95

1.3

55

15

6

1

4

9

5

15-19

471

6.2

288

113

21

20

1

10

18

20-24

853

11.3

531

217

27

35

3

28

12

25-29

878

11.6

542

218

35

54

2

18

9

30-34

914

12. 1

553

250

32

56

10

13

35-39

947

12.5

568

236

48

64

1

13

17

40-44

811

10.7

468

210

54

64

2

8

5

45-49

565
465

7.5
6.2

342
237

119

107

34
43

47
64

2

1

1

8

13

50-54

6

55-59

350
252

4.6
3.3

192
124

68
53

34

19

39
40

f

1

7
6

9

60-64

9

65-69

163

2.2

70

32

23

27

2

3

6

70-74

119

1.6

56

18

17

23

1

4

75 and over

121

1.6

25

21

27

35

3

10

Unknown

158

2.1

110

24

13

1

3

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

101

Table IS.^Murder Victims by Age, Sex and Race, 1963

Num-
ber

Per-
cent

Sex

Raoe

Age

Male

Fe-
male

White

Negro

Indian

Chi-
nese

Japa-
nese

All

others

(includes

race un-

knowTi)

TOTAL.--

7,549

iioo.'o"

5,613

74.4

1,936
25.6

3,482
46.1

3,946
52.3

53

.7

13
.2

6
.1

49
.6

Infant (under 1)..
1-4

112
169
106
95

471

853
878
914

947
811
565
465

350
252
163
119

121

158

1.5
2. 2
L4
1.3

6.2
11.3
11.6
12.1

12.5
10.7
7.5
6.2

4.6
3.3
2.2
1.6

1.6

2.1

59
104
59
51

358
641
674
683

711
622
417
364

286
186
121

84

66
127

53

65
47
44

113
212
204
231

236
189
148
101

64
66
42
35

55
31

70
119
71

54

227
370
338
353

367
333
291
223

197
135
103

86

96
49

40
45
32
40

243
462
530
549

572
469
268
232

147
110

55
30

24
98

2

2'

1
1

4

.5-9

10-14

1

15-19

1

11

6

6

5
6
4
6

2

2

1
1

20-24

2

8

'^5-29

4

30-34

1

3

1

2

35-39

2

40-44

1

45-49

9

50-54

2

2
1

1

1

2

55-59

3

60-64

5

65-69

2

70-74

1

75 anfl over

Unkno\\Ti

10

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

102

Arrest Data

Annual reports prepared by contributing law enforcement agencies
giving certain personal characteristics of persons arrested are presented
in the following tabulations. Arrest rates for all criminal acts are
shown by population group for cities and for suburban and rural
areas representing 67 percent of the United States population. Trend
information is shown for city, suburban 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.

103

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107

Table 22. — Total Arrests of Persons iJnder 18, Under 21, and Under 25 Years of

Age, 1963

[3,985 agencies; 1963 estimated population 125,760,000]

Offense charged

TOTAL

Criminal homicide:

(a) Murder and nonnegligent
manslaughter

(6) Manslaughter by negh-

gence

Forcible rape

Robbery

Aggravated assault

Burglary— breaking or entering. __

Larceny— theft

Auto theft

Subtotal for above offenses..

Other assaults

Embezzlement and fraud

Stolen property; buying, receiv-
ing, etc

Forgery and counterfeiting

Prostitution and commercialized

vice

Other sex ofTenses (includes statu-
tory rape)

Narcotic drug laws

Weapons; carrying, possessing, etc
OfTenses against family and chil-
dren

Liquor laws

Driving while intoxicated

Disorderly conduct

Drunkenness

Vagrancy

Gambhng

All other offenses, except traffic- -.
Suspicion

Total

4, 510, 835

6,080

2,725

9,461

37,836

68,719

170, 160

314, 402

85, 839

695, 222

184, 243
53, 208

15,014
30, 610

26, 124

59, 530

29, 604
43, 454

53, 228
130, 460
214, 913

489, 841
1, 510, 121
141, 773
102, 977
632, 518
92. 995

Number of persons arrested

Under
18

788. 762

1, 656
9,963
9,473

85, 151
160, 089

54, 417

321. 425

22, 975
1, 336

4,314
2,497

586

12, 518

1,880
9,077

921

28, 152

1,473

73, 240
18, 446
11,348
1, 825
254, 494
22. 255

Under
21

1.210.51!

1.135

3,849

17, 177

16, 714

112,691

200, 328

68, 076

420. 538

41, 058
4,670

6,647
6,292

3,496

18, 997

5, 697
15, 233

5, 330
73, 543
10, 664

135, 365

69, 244

26, 653

5,681

321, 333
40. 078

Under
25

1. 669. 861

2,041

1,072

5,825
24, 830
26, 259
133, 522
229,014
75, 520

498, 083

67, 255
12, 182

11,592

10, 597

27, 113

12, 589
21, 970

14,511
83, 751
32, 589

200, 007

171,033

41,423

15,519

385, 675

55. 089

Percentage

Under
18

17.5

7.3
17.5
26.3
13.8
50.0
50.9
63.4

46.2

12.5
2.5

28.7
8.2

2.2

21.0

6.4
20.9

1.6

21.6

.7

15.0

1.2

8.0

1.8

40.2

23.9

Under
21

18.7

20.8
40.7
45.4
24.3
66.2
63.7
79.3

60.5

22.3

8.8

44.3
20.6

13.4

31.9

19.2
35.1

9.2
56. 4
5.0

27.6
4.6

18.8
5.5

50.8

43.1

Under

25

37.0

33.6

39.3
61.6
65.6
38.2

78.5
72.8
88.0

71.6

37.9

40.6

45.5

42.5
50.6

24.9

64.2
15.2

40.8
11.3
29.2
15.1
61.0
59.2

108

Table 23.— To/«/ Arrests, Distribution by Sex, 1963
[3,985 agencies; 1963 estimated population 125,760,000]

Offense charged

Tolnl

Number

Percent

Male

Female

Total

Male

Female

TOTAL

4, 510, 835

3, 996, 984

513.851

> 100. 0

> 100.0

I 100 0

Criminal liomieide:

(a) Murder and nonnegligent

manslaughter

(b) Manslaughter by negligence. _
Forcible rape . .

6,080

2,725

9,461

37, 836

68, 719

170. 160

314,402

85, 839

4, 981

2, 457

9,461

3.5,991

59, 075

164. 60S

254. 660

82, 632

1.099

268

1,845
9. 644
5, .552
,59, 742
3, 207

.1
.1
.2
.8
1.5
3.8
7.0
1.9

.1
.1
.2

.9
1.5
4. 1
6.4
2.1

2

'. 1

Robbery

4

Aggravated assault

Burglary — breaking or entering

Larceny — theft

1.9

1. 1

11 6

Auto theft - -

6

Subtotal for above ofTenses

695, 222

613,865

81. 3.57

1.5.4

1.5.4

15.8

184, 243
53, 203
15,014
30, 610
26, 124

59, 530

29, 604
43, 464
58, 228
130, 460
214,913

489, 841
1,510,121
141,773
102, 977
632, 518
92, 995

165,295

43, 700

13, 786

25. 232

6, 044

49, 065

25,415
40. 873
52. 901
113,222
201.259

422. 302
1,387.761
128, 857
94, 806
529, 961
82, 640

IS. 948
9. 508
1.228
.5, 378

20, 080

10, 465

4, 189
2, 581

5. 327
17.238
13,654

67, 539
122, 360

12,916

8,171

102, 557

10, 355

4.1
1.2
.3
.7
.6

1.3

.7
1.0
1.3
2.9
4.8

10.9
33.5
3.1
2.3
14.0
2.1

4.1
1.1
.3

. 6

1.2

.6
1.0
1.3

2.8
5.0

10.6
34.7
3.2
2.4
13.3
2.1

3 7

Embezzlement and fraud

1.9

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

Prostitution and commercialized vice.
Other sex offenses (includes statutory
rape)

.2
1.0
3.9

2.0

Narcotic drug laws

.8

Weapons; carrying, possessing, etc

Offenses against family and children..

.5
1.0
3.4

Driving while intoxicated

2.7

Disorderlv conduct

13.1

Drunkenness

Vagrancv

23.8
2.5

1.6

All other offenses, except traffic

Suspicion . .

20.0
2.0

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

109

17

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CI CO -^ 03 CO

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CO -^ --^ --H lO

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r-l CO -^ 33 CO

rt< rr 00 00 CO t^

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o o bi' :3 rt 3
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t, CD S g -r^ t-

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110

Table 25.— Total Arrests by Race, 1963

[3,951 agencies; 1963 estimated population 116,952,000]

Offense charged

TOTAL_

Criminal homicide:

(c) Murder and nonneghgent
manslaughter

(6) 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, ctc.
Offenses against family and children
Liquor laws.--

Driving while intoxicated _

Disorderly conduct

Drunkenness

Vagrancy

Race

Total

4, 259, 463

Gambling

All other offenses, except trafhc-
Suspicion

5,338
2,565

8,457
32,817
57,723
156, 279

297, 472
78,758

173, 039
50, 680

12, 648
28, 180

22,731

54, 835

20, 760
40.419
57,062
124, 111

207,713
414, 046
501, 840
138, 923

75,017

605. 648

92, 402

White

I, 943, 143

2, 288
2,019

4, 402

15,002

25, 298

107,484

20,^ 138
57, 704

103, 062
42, 904

8, 282
22, 947

11,159

39, 159

13,003
19, R05
39, 157
91,527

172,866

262, 870

1, 078, 427

98, 526

18, 159

438, 890

63, 270

Negro

1, 186, 870

2,948
505

3, 935
17,365
31,666
46, 051

87, 352

19,412

(i7, 423

7,333

4, 145

4,818

11,315

14,696

7, 485
20, 285
17,082
29, 791

31,129
144, 557
344, 585

35, 680

53,417

155,878
28, 017

lndiai>

101,253

53
17

50
257
405
250

2,371

864

1, 260

246

131
273

120

278

56

205

522

2.231

2,939

4, 562

12, ri()

3,711

31

5, 787
914

Chi-
nese

1.817

227

9
14

47

29
28
23
21

60
140
423

32

245

209

52

.Japa-
nese

All
others

(in-
cludes

race

un-
known)

2,640

4
20
29
142

244
77
66
18

121
91
505
101

482
491

23, 735

45
19

64
163
279

1, 287

2,140
652

1, 166
167

77
115

103

587

157
279
269
473

598
1,826
5,180

873

2,683

4, 393

140

111

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113

Table 28. — City Arrests of Persons Under 18, Under 21, and Under 25 Years of

Age, 1963

[2,914 cities over 2,500; 1963 estimated population 94,085,000]

Offense charged

TOTAL

Criminal homicide:

(a) Murder and nonnegligent
manslaughter

(6) Manslaughter by negli-
gence

Forcible rape

Robbery

Aggravated assault

Burglary— breaking or entering

Larceny— theft

Auto theft

Subtotal for above offenses,.

Other assaults

Embezzlement and fraud

Stolen property; buying, receiv-
ing, etc

Forgery and counterfeiting

Prostitution and commercialized

vice

Other sex offenses (includes stat-
utory rape)_

Narcotic drug laws

Weapons; carrying, possessing, etc.
Offenses against family and chil-
dren

Liquor laws

Driving while intoxicated

Disorderly conduct

Drunkenness

Vagrancy

Gambling

All other offenses, except traffic.-.
Suspicion

Total

4, 027, 393

4,904

1,840
7,599
34, 488
60, 325
133, 769
276, 611
75,161

599, 597

161, 269
37, 607

12, 632
22, 626

25, 601

52,755

27, 738
39, 160

39, 042
107,818
179, 554

456, 659

1,419,533

132, 595

97, 766
530, 531

84, 910

Number of persons arrested

Under

18

703, 052

402

146

1,441

9,517

8,813

70, 675

146, 565

48, 550

286, 109

21,515
1,164

3,873
2,073

563

11, 139

1,776
8,414

736

23, 412

1,211

68, 986
16, 347
10, 561
1,767
223, 908
19, 498

Under
21

1. 061, 402

943

387
3,178
15, 974
15,077
91, 684
178, 908
60, 173

,324

37, 022
3,534

5,749

4,888

3,427

16, 635

5,296
13, 945

3,916
59, 647
8,790

125, 720
61, 952
24, 619

5,486
278, 448
36, 004

Under
25

1, 459, 164

1,663

702
4,724

22, 796

23, 235
108, 102
202, 357

66, 508

430, 087

59, 863
8,745

7, 541
8,842

10, 412
23, 669

11, 764
19, 910

9, 952
67, 590
27, 150

185, 004

155, 148

38, 212

14,915

330, 426

49, 934

Percentage

Under
18

17.5

8.2

7.9
19.0
27.6
14.6
50.9
53.0
64.6

47.7

13.3
3.1

30.7
9.2

2.2

21.1

6.4
21.5

1.9
21.7

.7

15.1
1.2
8.0
1.8
42.2
23.0

Under
21

19.2

21.0
41.8
46.3
25.0
66.1
64.7
80.1

61.

23.0
9.4

45.5
21.6

13.4

31.5

19.1
35.6

10.0
55.3
4.9

27.5
4.4

18.6
5.6

52.5

42.4

Under
25

36.2

33.9

38.2
62.2
66.1
38.5
77.9
73.2
88.5

7L7

37.1
23.3

59.7
39.1

40.7

44.9

42.4
50.8

25.5
62.7
15.1

40.5
10.9
28.8
15.3
62.3
58.8

114

Table 29. — City Arrests, DisLrihulion by Sex, 1963

[2,914 cities over 2,500; 1963 estimated population 94,085,000]

Offense charged

Number

Percent

Total

Male

Female

Total

Male

Female

TOTAL

4, 027, 393

3, 556, 782

470,611

1 100. 0

1 100. 0

1 100. 0

Criminal homicide:

(a) Murder and nonnegligent
manslaughter

4,904

1,840

7,599

34, 483

60, 326

138, 763

276, 611

76, 161

4.016

1.654

7, 599

32. 799

51.338

134, 129

220, 825

72, 347

888
186

'""i,'6S9^

8, 987

4,640

55, 686

2,814

.1

(2)
2

!9
1.5
3.4
6.9
1.9

.1

!9
1.4
3.8
6.2
2.0

.2

(6) Manslaughter by negligence-..
Forcible rape

f2)

Robbery

.4

A'''°'ravated assault

1. 9

Burglary— breaking or entering

Larceny — theft

1.0
11.8

Auto theft -- - - - ---

.6

Subtotal for above offenses

699, 697

524, 707

74, 890

14.9

14.8

15.9

Other assaults

161, 269
37, 607
12, 632
22, 626
25, 601

62, 766

27, 738
39, 160
39, 042
107,818
179, 554

466, 669

1,419,533

132, 695

97, 766
530, 631

84,910

143,914
30, 710
11,537
18, 393

5,885

42, 942

23, 796
36, 782
34, 571
92, 856
167, 548

392, 413

1,304,107

120, 540

89, 952

440,916

75, 213

17, 355
6,897
1,095
4,233

19, 716

9,813

3,942
2,378
4,471
14,962
12, 006

64, 246

115,426

12,055

7,814
89, 615

9,697

4.0
.9
.3
.6
.6

1.3

.7
1.0
1.0

2.7
4.5

11.3

35. 2

3.3

2.4

13.2

2.1

4.0
.9
.3

.5
.2

1.2

.7
1.0
1.0

2.6

4.7

11.0
36.7
3.4
2.5
12.4
2.1

3.7

1.5

Stolen property; buying, receiving, etc

.2
.9

Prostitution and commercialized vice _
Other sex offenses (includes statutory

4.2
2.1

Narcotic drug laws

.8

Weapons; carrying, possessing, etc

Offenses against family and children _

.5
1.0
3.2

2.6

13.7

Drunkenness

24.5

Vaerancy

2.6

Gambling

1.7

All other offenses, except traffic

Suspicion

19.0
2.1

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

2 Less than one-tenth of one percent.

115

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116

Table 31.— City Arrests by Race, 1963

[2,892 cities over 2,500; 1963 estimated population 85,728,000]

Total

Race

Offense charged

Wliite

Negro

Indian

Chi-
nese

.h^y^-
nc''.e

All
otliers

(in-
cludes
race un-
known)

TOTAL

3, 815, 994

2. 577, 369

1, 125, 505

87, 721

1,763

2,526

21,110

Criminal liomicide:

(a) Murder and nonnegligcnt

manslaii9:hter

(b) Manslaughter by negligence. .

Forcible rape

4,319
1,811

6,853
29, 875
49, 861
129, 578

264, 285
69,613
151,247

35, 658

10,881
21,012
22,318

48, 682

19, 077

36, 646
38,779

106, 250

174, 313

382, 959

1, 414, 429

130,001

71,242

512,111

£4, 494

1,662
1,379

3,199
12, 898
19,944

84, 569

177, 543
49, (iOl

85, 854
29, 026

6. 663

16, 597
10, 832

33, 935

11.725

17. 060
24. 397
76, 630

143.513

237, 654

1, 009, 559

91, 035

16, 225

359, 404

56, 465

2, 593
404

3. 570
16,603
29, 357
42, 942

82, 530

18, 623

63. 427

6, 339

3. 863
4,145
11.242

13, 929

7.134
19, 126
13, 949
27, 471

28, 173
140, 147
332, 398

34, 471

51,6.'-)7
144.343
27, 089

25

29
204
272
750

1,840
564
829
115

76
156
117

228

50

166

207

1,670

1,977
3,256
66, 702
3, 529

30

4,H5

1
4

2
10
46
CA

216
49
58
12

6
7
12

45

29

92

21

60
134
415

32

245
197
49

2
1

4
20
29
136

234
76
59
17

5
17
19

63

30
17

8
64

117

87

495

99

477
442

8

3r,
16

49

Robbery - - - .- __

140

213

Burglary— breaking or entering

Larceny — theft

1,117
1,922

Auto theft - - .- -

cm

Other assaults

Embezzlement and fraud

1,020
149

Stolen property; buying, receiving,
etc - - - -- --

68

Forgery and counterfeiting

Prostitution and commercialized vice.
Other sex ofTenses (includes statutory

90
96

482

109

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

250
196
394

Driving while intoxicated

473

1,681

Drunkenness

4,860

Vagrancy -. - .-

835

Gambling -. . -

2.608

All other offenses, except traffic

3,580
126

117

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732-688° — 64-

119

Table 34. — Suburban Arrests of Persons Under 18, Under 21, and Under 25

Years of Age, 1963

[1,459 suburban agencies; 1963 estimated population 31,056,000]

Offense charged

TOTAL

Criminal homicide:

(a) Murder and nonnegligent man-
slaughter

(6) Manslaughter by negligence

Forcible rape

Robbery

Aggravated assault

Burglary— breaking or entering

Larceny — theft

Auto theft

Subtotal for above offenses

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, except traffic

Suspicion

Total

604, 682

682

623

1,413

3,644

7,737

30, 006

58, 536

14, 436

117,077

30, 007

11,764

2,410

5,453

453

8,379

2.487

5,649

13, 882

22, 112

42, 303

67. 224
120, 611

11,059

4,676

123, 741

15, 395

Number of persons arrested

Under
18

153, 583

53

43

187

719

990

15,811

31, 592

9,594

58, 989

3,454

436
16

2,323

281
1,540

311
6,703

364

14, 035

3,353

1,218

161

53, 517
5, 915

Under
21

228, 500

120

128

551

1,580

1, 983

21.117

39, 931

11,846

256

6,681

843

1,249

1,104

54

3,387

772

2, 425

1,169

16, 132

2, 343

25, 879
10,119

2,905

377

66, 916

8,889

Under
25

215
251
861
402
187
727

45, 119
12, 979

89, 741

10, 944

2. 502
1,601
2,021

147

4,628

1,375
3,281

3, 410
17, 733

6,983

35, 880
21, 351
4,235
801
79, 371
10, 966

Percentage

Under
18

25.4

6.9
13.2
19.7
12.8
52.7
54.0
66.5

50.4

11.5
1.7

31.9
8.0
3.5

27.7

11.3

27.3

2.2

30.3

20.9
2.8

11.0
3.4

43.2

38.4

Under
21

37.8

17.6
20.5
39.0
43.4
25.6
70.4
68.2
82.1

66.0

22.3
7.2
51.8
20.2
11.9

40.4

31.0
42.9

8.4
73.0
5.5

38.5
8.4

26.3
8.1

54.1

57.7

Under
25

31.5
40.3
60.9
65.9
41.2
82.4
77.1

36.5
21.3
66.4
37.1
32.5

55.2

55.3
58.1
24.6
80.2
16.5

53.4
17.7
38.3
17.1
64.1
71.2

120

Table 35. — Siihurban Arrests, Distribution by Sex, 1963

[1.459 agencies; 1963 estimated population ai.orjG.OOO]

Offoiiso charp;o(l

TOTAL

Criminal homicide:

(a) Murder and nonnegligent man
slaughter

(6) Manslaughter by negligence

Forcible rape

Robbery

A ggra vated assault

Burglary— breaking or entering

Larceny— theft

Auto theft

Subtotal for above offenses

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

D isorderly conduct

Drunkenness

Vagrancy

Gambling

All other offenses, except traffic

Suspicion

Number
Total Male Female

604, 682

623
1,413
3,644
7,737
30, 006
58,533
14, 438

117,077

30, 007
11, 764
2,410

5,453

453

8,379

2,487
5,649
13, 882
22, 112
42, 303

67, 224
120,611

11,059

4,676

123. 741

15, 395

540, 572

558

551

1,413

3,516

7,048

29, 183

47, 921

13,915

104, 105

27, 664
9,428
2. 234
4, 5:^9
125
7,431

2, 150
5,419

13, 090
19, 820
39. 557

59, 813
110,765

10, 163

4,301

105, 874

14, 104

64, 110

124
72

128
689
823
10,615
521

12, 972

2, 343

2, 330

176

914

328
948

337

230

792

2,292

2, 746

7,411

9,856

896

375

17, 867

1,291

Percent

Total Male

100.0

.1

.1
.2
.6
1.3
5.0
9.7
2.4

19.4

5,0
1.9
.4
.9
.1
1.4

.4

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2.3

3.7

7.0

11.1
19.9

1.8

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20.5

2.5

.1

.1
.3

. 7
1.3
5.4
8.9
2.6

19. 3

5.1
1.7
.4

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(0
1.4

.4
1.0
2.4
3.7
7.3

11.1
20.5

1.9

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19.6

2.6

Female

100. 0

.2
. 1

.2

1. 1

1.3

16.6

20.2

3.7

3.6

.3

1.4

.5
1.5

.5

.4

1.2

3.6

4.3

11.6
15.4

L4

.6

27.9

2.0

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

2 Less than one-tenth of one percent.

121

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123

f732-688°— 64-

-10

Table Z8.— -Rural Arrests of Persons Vnder 18^ Under 21^ and Under 25 Years of

Age, 1963

[883 rural agencies; 1963 estimated population 18,574,000]

Offense charged

Total

Number of persons arrested

Under
18

Under
21

Under
25

Percentage

Under
18

Under
21

Under
25

42.4

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

Subtotal for above offenses

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, except traffic

Suspicion

834

774

576

1,067

1.709

4,660

18, 997

21, 000

6,202

54. 985

11,180

8,937

1,502

5,292

305

3,567

794

2,277

10. 119

16. 584

23, 373

18, 940
57. 687
4,911
2,790
56, 705
3.886

43, 450

42

40

130

231

296

8,245

6,571

3,192

18, 747

586
111
294
277
16

775

43

224

128

3,271

1,558

1,281

336

33

14, 812

770

2,842

120, 432

29.2

117

126

380

569

820

12, 462

11,427

4.441

244

243

627

996

1.630

15, 323

14, 530

5,148

30, 342

38, 741

5.4
6.9
12.2
13.5
6.4
43.4
31.3
51.5

34.1

15.1
21.9
35.6
33.3
17.6
65.6
54.4
71.6

1,859

749

580

944

44

1,325

151

561

818

10, 154

1, 254

4.548

4,658

833

86

22, 456

1,480

3.652
2,129

884
1,851

112

1,871

315

1, 013

2, 504
11,931

3,596

7,798
10, 294

1, 355

291

30, 051

2.044

5.2
1.2
19.6
5.2
5.2

21.7

5.4

9.8

1.3

19.7

8.2
2.2
6.8
1.2
26.1
19.8

55.2

16.6
8.4
38.6
17.8
14.4

37.1

19.0
24.6

8.1
61.2

5.4

24.0
8.1

17.0
3.1

39.6

38.1

31.5
42.2
58.8
58.3
35.0
80.7
69.2
83.0

70.5

32.7
23.8
58.9
35.0
36.7

52.0

39.7
44.5
24.7
71.9
15.4

41.2

10.4
53.0
52.6

124

Table 39.-— Rural Arrests, Distribution by Sox, 1963

[883 agencies; 1963 estimated population 18,574,000]

OITonsc charged

TOTAL

Criminal homicide:

(a) Murder and nonnegligent man
slaughter

(6) Manslaughter by negligence

Forcible rape

Robbery

Aggravated assault

Burglary— breaking or entering

Larceny— theft

Auto theft

Subtotal for above ofifenses

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, except traffic

Suspicion

Number

Total Male Fciiiak

283, 834

774

576

1,087

1,709

4,660

18, 997

21, 000

6,202

54, 985

11,180
8,937
1,502
5,292
305
3,567

794

2,277

10, 119

16, 584

23, 373

18, 940

57, 687

4,911

2,790

56, 705

J, 314

631

533

1,067

1,612

4, 325

18, 426

19, 631

5, 960

52, 185

21, 520

97

335

571

1, 369

242

2,800

686
1,265
63
719
198
326

95

107

504

1,486

879

1,647

3,774

397

175

6,086

313

I'ercont

Total Male

100.0

3.6

5.8
8.2

6.7
20.3

1.7

1.0
20.0

1.4

100.0

.2
.2
.4
.6
1.6
7.0
7.5
2.3

19.

4.0

2.9

.5

1.7

(2)

1.2

3.7

5.8
8.6

6.6
20.6

1.7

1.0
19.3

1.4

Female

1 100.0

.5
1.6
2.7
6.4
1.1

13.0

3.2
5.9

.3
3.3

.9
1.5

.4

.5

2.3

6.9

4.1

7.7
17. 5

1.8

.8

28.3

1.5

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

2 Less than one-tenth of one percent.

125

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127

Police Employee Data

Tables in the section which follows relate to police personnel.
Figures which are presented in the tables on full-time police officers
and civilian employees are based on national averages. These figures
are not to be construed as representing recommended or desirable
police strength. Each community must evaluate the numerous factors
which affect its police requirements before arriving at a conclusion as to
local police needs. Rate ranges are provided as supplemental data
for those interested in using these figures to make limited comparisons.

Police killed and assaulted tables are prepared from figures sub-
mitted in this Program as a part of the annual collection. Supple-
mental data relating to police killed are obtained by means of a special
questionnaire. Additional details regarding police deaths derived
from this survey are presented earlier in this bulletin.

128

Table 42. — Fiill-Titne Police Dcpar Intent Employees, December 31, 1963,
Number and Rate per 1,000 Inhabitants, by Geographic Divisions and
Popu la t ion Groups

(1963 Estimated population]

TOTAL

Population group

Geographic division

(3,664

Group I

Group II

Group III

Group IV

Group V

Group VI

cities;

(.V2 cities

(78 cities.

(196 cities,

(375 cities,

(989 cities,

(1,974

population

over

100,000 to

.'■)0,000 to

25,000 to

10,000 to

cities under

104,461,000)

250,000;

2.^0,000;

100,000;

.'iO,000;

25,000;

10,000;

population

poi)ulation

population

population

population

population

40, 64,5. 000)

11,372,000)

13,.'-)32,000)

12,991,000)

1.5,406,000)

10,51.5,000)

TOTAL: 3,664 cities;

population 104,461,000:

Number of police

employees

202, 322

108, 065

18, 994

20, 637

18, 888

21, 044

14, 694

Average number of

employees per

1,000 inhabitants- _

1.9

2.7

1.7

1.5

1.5

1.4

1.4

Rate range

0.1-9.4

1. 1-1. 2

0. 9-2. 7

0. 3-3. 8

0. 3-3. 5

0. 1-5. 1

0. 1-9. 4

New England : 327 cities ;

population 7,694,000:

Number of police

employees

14, 773

2,758

2,641

3,511

2,600

2, 330

933

Average number of

employees per

1,000 inhabitants.

1.9

4.2

2.5

1.9

1.6

1.3

1.2

Rate range

0. 2-5. 6

0)

2. 3-2. 7

1. 3-2. 8

1. 1-2. 8

. 2-2. 5

. 2-5. 6

Middle Atlantic:

773 cities; population

23,784,000:

Number of police

employees

61, 736

43, 061

2,913

3,788

3,613

5, 163

3,198

Average number of

employees per

1,000 inhabitants-

2.6

3.6

2.0

1.7

1.7

1.4

1.4

Rate range

0. 1-5. 2

1. 8-3. 9

1. 3-2. 5

. 5-3. 7

. 7-3. 5

. 1-5. 1

. 1-5. 2

East North Central : 819

cities; population

22,251,000:

Number of police

employees

41,939

23, 986

2,726

3,843

3,915

4,265

3,204

Average number of

employees per

1, 000 inhabitants-

1.9

2.7

1.6

1.3

1.4

1.3

1.3

Rate range

0. 2-4. 6

1. 1-3. 3

1. 3-1. 8

. 3-1. 8

. 7-3. 3

. 2-3. 3

.2-4.6

West North Central: 419

cities ; population

8,042,000:

Number of police

employees

12, 084

5,527

791

1,036

1,179

1,804

1,747

Average number of

employees per

1,000 inhabitants-

1.5

2.1

1.4

1.2

1. 1

1.2

1.3

Rate range

0. 1-4. 0

1. 3-3. 2

1. 2-1. 7

.8-1.4

. 4-1. 8

. 4-2. 6

. 1-4. 0

South Atlantic: 341

cities ; population

10,750,000:

Number of police

employees

21,998

9,304

4,198

2,376

2,121

2,361

1,638

Average number of

employees per

^

1,000 inhabitants-

2.0

2.9

1.6

1.9

1.7

1.7

1. 7

Rate range---

0. 2-9. 4

1. 5-3. 9

. 9-2. 4

1. 2-3. 8

. 8-2. 8

.8-2.7

. 2-9. 4

East South Central :

147 cities; population

4,100,000:

Number of police

674

employees

6,183

2,554

913

570

803

609

Average number of

employees per

1.4

1,000 inhabitants- -

1.5

1.5

1.7

1.7

1.4

1.4

Rate range

0. 3-3. 2

1.2-1.7

1. 4-1. 9

1. 3-2. 3

. 9-2. 2

.6-2.1

. 3-3. 2

See footnote at end of table.

129

Table 42. — Full-Time Police Department Employees, December 31, 1963,
Number and Rate per 1,000 Inhabitants, by Geographic Divisions and
Population Groups — Continued

(1963 estimated population)

TOTAL

Populati(

m group

(3,664

Group I

Group II

Group III

Group IV

Group V

Group VI

Geographic division

cities;

(.52 cities

(78 cities.

(196 cities,

(375 cities.

(989 cities.

(1,974

population

over

100.000 to

,50,000 to

25,C00 to

10,000 to

cities under

104,461,000)

2.50,000;

250,000;

100,000;

50,000;

25,000;

10,000;

population

population

population

population

population

population

40, 64.5, OCO)

11,372,000)

13, 532, 000)

12,991,000)

15,406,000)

10,515,000)

West South Central :

248 cities ; population

9,489,000:

Number of police

employees

12, 483

6,307

1,918

1.306

1,065

1,147

740

Average number of

employees per

1,000 inhabitants-.

1.3

1.4

1.4

1.2

1.1

1.2

1.1

Eate range

0. 2-^. 7

1. 1-1.8

1.1-2.0

. 6-1. 6

.6-1.4

. 4-2. 1

. 2-2. 7

Mountain: 187 cities;

population 4,283,000:

Number of police

employees

6,152

1,970

579

919

1,074

737

873

Average number of

employees per

1,000 inhabitants..

1.4

1.5

1.4

1.6

1.3

1.2

1.5

Eate range.- _.

0. 3-3. 4

1.3-1.7

1.2-1.5

1.0-2.8

1.0-2.0

.5-3.2

. 3-3. 4

Pacific : 403 cities ; popu-

lationl4,C68,000:

Number of police

employees

24, 974

12, 598

2,315

3, 288

2,518

2,568

1,687

Average number of

employees per

1,000 inhabitants..

1.8

2.1

1.5

1.5

1.5

1.6

1.8

Eate range

0. 2-4. 0

1.1-2.0

1

1.1-1.8

1. 0-2. 5

. 3-3. 5

. 7-3. 7

. 2-4. 0

Suburban Police and County Sheriff Departments

Suburban: 2 1,733 agencies; population
35,553,000:

Number of police employees

Average number of employees per

1 ,000 inhabitants

Eate range

43, 560

1.2
0. 1-9. 4

Sheriffs: 1,050 agencies; population
14,772,000:

Number of police employees

Average number of employees per

1,000 inhabitants

Eate range

23, 389

0.8
0. 1-9. 8

1 Only one city this size in geographic division.

2 Agencies and population represented in suburban area are also included in other city groups.

Population figures rounded to the nearest thousand,
rounding.

All rates were calculated on the population before

130

Table 43. — Civilian Police Department Employees^ December, 1963, Percent-
age of Total by Population Group

[3,664 cities over 2,500; 1908 estimated population 104,401,000]

Population group

Percentage

civilian
employees

TOTAL, ALL CITIES

9 9

Group T (over 2.'i0,000)

10 3

(Over I.OOO.OOO)

8 2

(500, 0(10-1, 000,000) - .. . ... . . .

11 9

(250,000-500,000)

15 2

Group II (100,000-250,000) . .

12 1

Group III (50,000-100,000)

10. 1

Group IV (25,000-50,000)

H 7

Group V (10,000-25,000).- .

7 0

Group VI (2,500-10,000).

9. 1

Suburban agencies. ...-.._. . . ... . ..

10.0

Sheriff offices ... .. . ------ -- - - -

10.4

131

Table M.— Number of Police Officers Killed,^ 1963, hy Geographic Divisions

and Population Groups

[4,877 agencies; 1963 estimated population 134,330,000]

TOTAL

Population group

Geographic division

Group I

Group II

Group III

Group IV

Group V

Group VI

County

Over
250, 000

100, 000

to
250, 000

50, 000

to
100, OCO

25, OCO

to
50, 000

10, OCO

to
25, OCO

Under
10,000

and
State
police

TOTAL

881

31

4

8

4

2

11

28

New England

3
13
10

7

20
5

17
3

10

I

4
2

4
2

7

1
3

1

L

2

1
1
3

4

1

VfiQt ^Tnrth Ppntrnl

1
1

1

2

West Nor til Central

1

South Atlantic

1

11

3

West South Central

2
1

1

1

1

5

2

4

1

2

1

3

55 killed by felons; 33 killed in accidents.

132

Table 45. — Assaults on Piylice OJJicers, 1963, by Geographic Divisions and

Population Groups

[3,498 cities; 1963 estimated population 89,021,000]

Geographic division

Assaults

Rate per

100 police

ofTieers

Population group

Assaults

Rate per

100 police

ofTicers

TOTAL

16, 793

11.0

TOTAL

16, 793

11.0

Groui) I

(Over 2.^0,000)

New Kncland

712
3,514
5,681

817

2,909
449
953
527

1,231

0.8
0.8
If).?

S. 1

18.2
12.1
11.8
10.2
10.7

9,816
1,539
1,620
1,356
1,431
1,031

Middle Atlantic . _ . _ -

13.3

East North Central

Group II

(100,000 to 250,000)

West North Central

10 7

South Vtlantic

Group III

(r)0,ooo to 100,000)

9 3

Group IV

(2.'-),000 to 50,000)

West South Central

8 8

Groui) V

(10,000 to 25,000)

Pacific

7.0

Grouj) \'I

(Under 10,000)

8.0

Table 46. — Full-Time State Police Employees, December 31, 1963, and State

Police Killed, 1963

State police

TOTAL

Police
officers

Civilian

Police
killed

Alaska

158
723
276
954
298

1,425

146

1,165

2,433

141

176

1,032

342

100
519
222
612
246

1,111
130
926

2, 129

119
113
723
262

58
204

54
342

52

314

16

239

304

22

63

309

80

Delaware _-. _. _ . _ .__ .

1

Maine

Michigan, . . . ._-

New Jersey

Rhode Island _ .

Vermont

Virginia

West Virginia

i
1

133

Table 47. — Number of FulUTime Police Department Employees, December 31.
1963, Cities Over 25,000 in Population

City by state

Number of police department
employees

City by state

Number of police department
employees

Total

Police
officers

Civilians

Total

Police
officers

Civihans

ALABAMA

49
517
58
93
145
313
41
90

85

27
37
48

fi98
CO
35

33(1
40

23
32

80
41
195
100

48

191
09

161
45

157
96
70

170
36
60

103
62
57
47
35
65
45
61

279

108
53

127

170
54
86
67
49

124
47
36
39

629

6,242

39

51

42

49
453
57
87
130
247
38
87

65

26
35
44

596
55
33

260
38

22
29
76
40
171
95
48

74
75

161
60

125
36

145
88
54

138
29
52
87
56
49
41
32
52
39
52

249
84
47

104

140
48
75
60
45
96
37
33
39

528
4,948
34
41
40

CALIFORNIA— Con.
Modesto

71
48
55
50
36
50
89

789
52
65
64
73
79

211
10
98
53
65
61

158

144

355
80

193
35

819
1,959

322
72
94

174
97
78
46
43

165
48
80
44

171
82

143
83
55
44
81

57
47
122
936
40
31
41
137

40S
59
55
72
38

138

395

51
87
49
162
402

61
41
48
48
30
45
67

620
45
58
52
66
76

173
10
84
45
53
54

132

116

297
65

163
28

691
1,716

296
59
79

129
81
68
40
35

128
41
74
35

146
62

133
72
55
35
68

51
42
108
769
38
26
31
125

367
56
55
69
37

124
76

360

47
81
47
150
377

10

64
1
6

15

66

3

3

20

1
2
4
102
5
2
76
2

1
3
4
1
24
5

Monrovia ... - - --.

7

Dothan. _. . .

Monterey Park

Mountain View

Napa-

7

Gadsden

2

6

Mobile

National City

Newport Beach

Oakland

5

22

169

7

ALASKA

7

Orange

12

Oxnard..

7

Palo Alto ... .

3

ARIZONA

38

Pleasant Hill

Pomona .. .

Flaestaff

14

Redlands

8

Redondo Beach

Redwood City

Richmond

12

7

26

TeiiiDe

Riverside.-

28

Tucson

Sacramento

58

Salinas

15

ARKANSAS

San Bernardino

30

7

San Diego . -

128

Blytheville

San Francisco

San Jose . . . .

243

El Dorado

26

San Leandro .. . ...

13

Tint Snrinps

San Mateo...

15

Little Kock

Santa Ana. . .- ...

45

North Little Rock^_.
Pine Bluff

Santa Barbara

Santa Clara — . . ..

16
10

5

16

30

9

36

9

12

8

16

32

7

8

16

6

8

6

3

13

6

9

30

24

6

23

30

6

11

4
28
10

3

6

CALIFORNIA

8

Alameda

Santa Monica .—

Santa Rosa - -

37

7

Alhambra

South Gate

South San Francisco.
Stockton .. .-- . -

6

9

25

Baker sfield

Sunnyvale

20

10

Vallejo

11

Beverly Hills

Ventura .. .

Westminster ... . .

9

Bur bank

Whittier .

13

COLORADO

Chula Vista

Conipton

6

Daly C^ity

Boulder

5

El Cajon

Colorado Springs

Denver .

14

El Cerrito

167

El Monte

2

Eureka

Fort Collins ...

5

Fremont

Greeley ....

10

Pueblo

12

FuUerton

CONNECTICUT

Bridgeport . ..

Gardena - -

Garden Grove

41

Hawthorne

Bristol - -

3

Hh vwarrl

Danbury

Huntington Beach...

East Hartford

Enfield

3

1

Greenwich...

14

La Habra

1

La Mesa

Hartford- . ......

35

Lodi

Manchester

101

1,294

5

10
2

4

Los \imeles

Meriden

6

2

Manhattan Beach

New Britain

12

Menlo Park

New Haven

25

134

Table 47. — Number of Full-Time Police Department Employees, December 31^
1963, Cities Over 25,000 in. Population — Coniinued

City by state

CONNECTICUT-
Continued

New London.

Norwalk

Norwich

Stamford

Stratford

Torrington.--.
Wallingford.-.
Waterbury.--
West Haven..

DELAWARE

Wilmington

DISTRICT OF
COLUMBIA

Washington.

FLORIDA

Clearwater

Coral Gables

Daytona Beach-__
Fort Lauderdale. -

Fort Myers

Fort Pierce

Gainesville

Hialeah

Hollywood

Jacksonville

Key West

Lakeland

Miami

Miami Beach

North Miami

Orlando

Panama City

Pensacola

St. Petersburg

Sarasota

Tallahassee

Tampa

West Palm Beach.

GEORGIA

Albany

Athens

Atlanta

Augusta.-.
Columbus -
East Point.

Macon

Marietta...

Rome

Savannah..
Valdosta...

HAWAII

Hilo

Honolulu -

IDAHO

Boise

Idaho Falls.
Pocatello--.

Number of police department
employees

Total

71
186
49

208
75
55
36

266
72

250

3,129

93

96

114

255

54

49

77

103

133

503

40

99

827

268

51

168

47

118

305

55

86

580

144

78
57
835
147
177
51
159
42
55
190
36

95
721

Police
ofTiccrs

68
126
46
198
71
53
36
257
71

2,910

66

78

88

219

43

34

62

82

117

422

36

83

598

208

44

136

37

107

240

44

78

426

120

74

48
720
131

168
48

157
38
51

155
35

Civilians

33

219

27
18
26
36
11
15
15
21
16
81
4
16

229
60
7
32
10
11
65
11
8

154
24

115
16
9
3
2
4
4
35
1

7
107

City by state

ILLINOIS

Alton

Arlington Heights.

Aurora

Belleville

Berwyn

Bloomington

Calumet City

Champaign

Chicago

Chicago Heights. --

Cicero

Danville

Decatur

Des Plaines

East St. Louis

Elgin

Elmhurst

Freeport

Galesburg

Granite City

Harvey

Highland Park

Joliet

Lombard

Maywood

Morton Grove

Oak Lawn

Oak Park

Park Forest

Park Ridge

Pekin

Peoria

Quincy

Rockford

Rock Island

Skokie

Springfield

Urbana

Waukegan

Wheaton

Wilmette

INDIANA

Anderson

Bloomington...

Elkhart

Evansville

Gary

Hammond

Indianapolis.-.

Lafayette

Marion

Michigan City.

Muncie

New Albany...

Richmond

South Bend

Terre Haute. --

IOWA

Ames

Burlington

Cedar Rapids. -

Clinton

Council BlufTs.

Davenport

Des Moines

Dubuque

Number of police department
employees

Total

39
87
42
fiO
48
22
64
11,702
58

112
46
88
43
98
63
49
27
42
36
32
38
86
21
40
30
35
93
26
40
34

164
49

186

93
111
26
72
32
39

87

49

74

213

274

170

1,029

61

56

56

106

39

65

213

115

28
42
131
36
61
115
253
68

Police
ofTicers

42
33
76
40
59
44
20
52
10,314
50

no

38
75
43
90
54
47
27
33
36
31
32
76
17
40
28
33
76
21
37
28

148
46

170
60
78
93
23
64
27
33

40

67

198

232

158

916

60

52

54

104

39

60

203

111

28
33
112
34
57
108
229
64

135

Table 47. — Number of Full-Tirne Police Departmen t Employees, Decemher 31,
1963, Cities Over 25,000 in Population — Continued

City by state

Number of police department
employees

City by state

Number of police department
employees

Total

Police
officers

Civilians

Total

Police
officers

Civilians

IOWA— Continued

32
33
44
36
127
103

41
223

30
35
25
57
172
358

37
40
90
152
625
66
75
61

56

316

38

48

68

29

1,103

239

32

61

72

124

3,451
62

89

42

48

60

2,758

56

136

148

236

89

38

120

253

79

74

64

77

116

140

40

29
24
34
34
99
93

36
171

27
30
25
43
141
283

36
40
81
133
526
53
72
61

54

285

34

46

64

29

1,022

220

31

49

66

107

3, 132
56

79

41

45

57

2,557

54

132

139

226

86

37

117

237

70

73

52

74

114

130

38

3
9

10
2

28
10

5

52

3

5

MASSACHUSETTS—
Continued

Lexington

34

193

193

119

51

55

44

42

246

43

84

170

90

154

68

37

102

34

43

50

84

42

412

107
76
91
40

206

60

4,772

54

49

305

268
80

118
90

140

191
61
73
31
30
88
66

132
56
41
53
93

156
79
48
19
65
41

37
48
18
21

143
29

781
11
24
35
74

33

182

183

115

49

52

41

41

231

43

78

162

85

153

64

36

100

32

41

49

82

42

361

93
63
86
32

184

58

4,407

46

43

258

224
71

104
79

113

174
58
65
28
28
71
62

110
44
34
49
80

143
74
38
17
59
36

35
43
17
20

126
24

716
11
24
33
71

Tnwa Citv

1

Lowell---

11

Lynn

10

Medford

4

Melrose-

2

Milton

3

KANSAS

Natick

3

Needham

1

Hutchinson

New Bedford

Northampton

Pittsfield

15

TTfln'jfls Ditv

6

Overland Park

Prairie Village

Salina

Quincy

8

Revere -

5

14
31

75

1

Somerville _ _

1

Topeka

Taunton- -

4

Wichita

Wakefield

1

Waltham

2

KENTUCKY

2

WestPeld

2

West Springfield

Wevmouth

1

Bowling Green

2

9
19
99
13

3

Woburn--

Worcester

51

MICHIGAN

Ann Arbor-

Newport

14

2
31
4
2
4

Battle Creek

13

LOUISIANA

Bav Citv

5

Birmingham

8

Dearborn.

22

Baton Rouge

Dearborn Heights- --
Detroit

2

365

East Detroit

8

IVlonroe

Ferndale-

6

Flint

47

81
19

1
12

6
17

319
6

10

3
3
201
2
4
9

10
3
1
3

16
9
1
2
3
2

10
2

Grand Rapids

Hamtramck

44

9

MAINE

Highland Park

Jackson

14
11

27

Lansing - .

17

Lincoln Park

3

8

Portland

Madison Heights

Midland

3

2

MARYLAND

Muskegon

17

Oak Park

4

Baltimore

Pontiac

22

12

MASSACHUSETTS

Redford Township—
Roseville . ..

7
4

Roval Oak

13

13

St. Clair Shores

Southfield

5

Belmont

10

Waterford Township-
Wvandotte

2

Boston

6

5

Brockton

MINNESOTA

Austin

Cambridge

Chicopee

2

Dedham

Bloomington

5

Everett .

Brooklyn Center

Crystal

Duluth

1

Fall River

1

Fitchburg

17

Edina

5

Gloucester

Minneapolis

65

Haverhill

IVlinnetonka

Holyoke

IVloorhead

Richfield

2

Leominster

Rochester

3

136

Table 47. — Number of Full-Time Police Department Employees, December 31,
1963, Cities Over 25,000 in Population — Continued

City by state

Number of police department
employees

City by state

Number o

f police de[)artnient
employees

Total

Police
officers

Civilians

Total

I'olice
officers

Civilians

MINNESOTA-Con.

Roseville

18

43

39

435

43
43
43
312
41
40
36

34
50
83
53

1,119
40
108

2,349
118
52
30

69
40
62
37

38
485

241
150

41
120
61
40

216
166
35
104
259
49
119
41
159
70
254
57
45
48
90
168
103
984

18

41

37

383

43
38
41
255
38
40
32

30
43

78
38
890
38
98
1.831
113
49
26

63
34
57
33

38
417

196
121

38
116
55
40

180

1.56
35

100

238
43

113
40

159
67

239
56
43
46
87

167
95

846

NEW JERSEY— Con.

121
115
38
44
94
1,.538
82

107
51
81
59

23
131
324
42
104
88
61
41
35
41
60
279
122
86
44
51
84
81

279
28
44
30
34
59
48

259
63
40
63

148
1,544
6S
39
27
97
65
42
73
70
36
53
46

193
62

161
30, 582

197
40
36
56

50

120
115
36
44
89
1,312
81

95
49
80
56

23
121
293
36
93
82
58
40
32
41
60
256
106
85
43
50
84
81

235
28
34
30
34
56
43

219
60
39
60

137
1,318
67
39
27
95
61
36
70
69
35
46
44

178
61

153
29, 423

177
39
35
51
75

485
50

St. Cloud

2

2

52

T>inden

St. Louis Park

Lodi

0

St. Paul

Long Branch

Montclair

K

MISSISSIPPI

Newark .

Biloxi

New Brunswick

North Bergen
Township

1

Columbus-- -

5

2

57

3

12

Gulfport

Nutley

Jackson . ...

LaureL .

Parsippany-Troy

Hills Township

Passaic

Vicksburg-. -. .

4

4
7
5
15

229
2
10

518
5
3
4

6
6
5
4

10

MISSOURI

31

Pennsauken

Cape Girardeau

Columbia.--

Perth Amboy

Plain field

11
ft

Independence

3

Joplin - _.

1

Kansas City . .. -._

Kirkwood

St. Joseph

Teaneck Township..
Trenton

St. Louis

23

Springfield _ -

TTninn Pitv

1 A

University City

Webster Groves

Union Township

1

Westfield

1

MONTANA

West New York

West Orange --

Billings

Butte

Great Falls -_. .

NEW MEXICO

Albuquerque

Carlsbad

Missoula

44

Farmington

Hobbs

10

Grand Island . . .-_

Las Cruces

68

45
29

3
4
6

Santa Fe

5

NEVADA

Las Vegas

NEW YORK

40

NEW HAMPSHIRE

Amherst

3

Amsterdam-

1

Auburn ... _. . ..

3

Manchester

Binghamton

Buffalo

11

226

Portsmouth

Cheektowaga

2

36
10

NEW JERSEY

Colonie Town

2

Atlantic City

4

Glen Cove

6

Bergenfield

Green burgh. .

3

Bloomfield

4

'I

6

1

Hempstead-. .

1

Camden

Irondequoit

1

Cherry HUl Township.
Clifton

Ithaca - -

7

Lockport.

2

Cranford Township..
East Orange

Mount Vernon

Newburgh _ .

15

1

Edison

3

15
1
2
2

3

1

8

138

New Rochelle

New York-

8

Elizabeth

1,159

Englewood

Niagara Falls

North Tonawanda--
Orangetown.--

20

Fair Lawn .

1

Garfield

1

Hamilton Township.
Hoboken

Port Chester

5

Poughkeepsie-

Rochester

4

Irvington

80

Jersey City

Rockville Centre

137

Table 47. — Number of Full- Time Police Department Employees, December 31,
1963, Cities Over 25,000 in Population — Continued

City by state

Number of police department
employees

NEW YORK— Con.

Rome

Schenectady

Syracuse

Tonawanda Town.

Troy

Utica

Watertown

White Plains

Yonkers

NORTH CAROLINA

Asheville

Burlin^on

Charlotte

Durham

Fayetteville

Gastonia

Goldsboro

Greensboro

Greenville

High Point

Kannapolis

Kinston

Raleigh.

Rocky Mount-.

Wilmington

Wilson

Winston-Salem.

NORTE DAKOTA

Bismarck

Fargo

Grand Forks.
Minot

OHIO

Akron

Alliance

Ashtabula

Barberton

Canton

ChilUcothe

C incinnati

Cleveland

Cleveland Heights.

Columbus

Cuyahoga Falls

Dayton

East Cleveland

Elyria

Euclid

Findlay

Hamilton

Kettering

Lakewood

Lancaster

Lima

Lorain

ATansfield

Maple Heights .

Marion

Alassillon

Mentor

Middletown

I'arma

Portsmouth

Sandusky

South Euclid

Springfield

Total

al

Police

officers

62

57

153

146

439

377

76

74

154

141

199

185

56

56

153

151

369

339

115

110

60

55

371

328

129

118

78

72

65

65

43

43

244

219

37

36

99

94

28

28

47

41

162

142

62

54

89

69

42

41

189

178

39

35

Civilians

334
39
29
35

170
28

955

2,171

68

711
48

420
70
49
68
36
97
32
72
28

20

35

4

69

11

39

4

42

2

316

18

33

6

29

34

1

160

10

27

1

860

95

1,904

267

66

2

577

134

47

1

371

49

62

8

46

3

67

1

33

3

94

3

30

2

66

6

26

2

69

9

71

1

71

3

36

1

40

2

32

3

19

1

66

4

51

10

52

1

37

5

27

3

107

9

City by state

Number of police department
employees

OHIO— Continued

Upper Arlington.

Warren

Youngstown

Zanesville

OKLAHOMA

Bartlesville

Enid

Lawton

Midwest City..

Muskogee

Norman

Oklahoma City.

Stillwater

Tulsa

OREGON

Corvallis-
Eugene...
Medford.
Portland-
Salem

PENNSYLVANIA

Abington Township.

Aliquippa

Allentown

Altoona

Baldwin Borough

Bensalem Township .

Bethlehem

Cheltenham Town-
ship

Easton

Erie

Harrisburg

Haverford Township.

Hazleton

Johnstown

Lancaster

Lebanon

Lower Merion Town-
ship

Millcreek Township.
Mount Lebanon

Township

Norristown

Penn Hills Town-
ship

Philadelphia

Pittsburgh

Pottstown

Reading

Ridley Township..-.
Springfield Town-
ship

West Mifflin

Wilkes-Barre

Wilkinsburg

Williamsport .-

York

Total

RHODE ISLAND

Cranston

East Providence.

Newport

Providence

Warwick

29

80

304

42

37
52
73
33
50
35

402
28

348

60
31
148
104
21
25
108

52
55
186
165

37

83
91
42

119
21

37

52

41
6,346
1, 502

34
189

27

22
27
94
42
61
86

101
81
82
522
119

Police
officers

27

281
36

33
44
71
30
42
35

345
28

295

25
64
41
667
58

Civilians

16

5

23

2

100

8

49

3

51

4

169

17

158

7

54

3

34

3

73

10

87

4

41

1

113

6

17

4

33

4

52

37

4

5, 746

600

1,457

45

34

155

34

23

4

19

3

27

93

1

34

8

56

5

80

6

99

2

74

7

76

6

460

107

62

19

138

Table 47. — Number of Full- 1 Imp Police Depart men I Employees, December 31,
1963, Cities Over 25,000 in Population — Coiiiiiiucd

City by state

SOUTH CAROLINA

Charleston

Columbia

Florence

Greenville

Rock Hill

Spartanburg

SOUTH DAKOTA

Aberdeen

Rapid City

Sioux Falls

TENNESSEE

Jackson

Johnson City

Knoxville

Memphis

Nashville

Oak Ridge

TEXAS

Abilene

Amarillo

Arlington

Austin

Beaumont

Big Spring

Brownsville

Bryan

Corpus Christi

Dallas

Denton

El Paso

Fort Worth

Galveston

Grand Prairie

Ilarlingen

Houston

Irving

Killeen

Kingsville

Longview

McAUen

Mesquite

Midland

Odessa.—

Orange

Pampa

Pasadena

Port Arthur

Richardson

San Angelo

San Antonio

Sherman

Temple

Texas City

Tyler

Victoria

Waco

Wichita Falls

UTAH
Ogden

Provo

Salt Lake City

Number of police dei)artmcnt
employees

Total

152
170
44
129
5f)
80

49
42
288
892
520
39

112

212

53

347

138

47

68

32

214

1,318

36

381

572

78

33

45

1,456

43

27

26

67

21

43

110

117

37

28

68

93

31

79

727

32

37

28

68

51

134

123

81

44

300

Police
illicers

123
156
43
116
52
66

48

38

232

724

467

36

181
52

248

127
40
44
30

189

1,122

32

345

474
68
31
33
1,249
38
26
26
55
21
37

105
95
35
20
59
86
26
73

611
30
37
27
65
42

111

110

72
40
253

(Civilians

1

4

56
168
53

24

2

25

196

4

36

98

10

2

12

207

5

1

5

6

116

2

City by state

VERMONT
Burlington

VIRGINIA

Alexandria

Arlington

C harlottes ville

Chesapeake

Danville

Hampton

Lynchburg

Newport News

Norfolk

Petersburg

Portsmouth

Richmond

Roanoke

Virginia Beach

WASHINGTON

Bellingham

Bremerton

Everett

Richland

Seattle

Spokane

Tacoma

Vancouver

Walla Walla

Yakima

WEST VIRGINIA

Clarksburg

Fairmont

Huntington

Weirton

Wheeling

WISCONSIN

Appleton

Beloit

Eau Claire

Fond du Lac

Green Bay

Janesville

La Crosse

Madison

Manitowoc

Milwaukee

Oshkosh

Racine

Sheboygan

Superior

Waukesha

Wausau

Wauwatosa

West AUis

WYOMING

Casper

Cheyenne

Number of police department
employees

Total

162

218

61

99

95

122

90

14K

482

40

137

454

139

93

48

51

76

39

1,047

276

248

57

39

74

78
55
61
50

119
53
74

226

52

1,892

69

155
82
60
58
48
82

124

I'oiicc fMvllians
tllicrrs

136
195
60
95
85
103
84
139
438
37
126
422
132

71

33

900

234

229

54

31

65

74
52
50
44

108
49
68

187

50

1,764

66

142
80
60
55
48

111

139

732-688°— 64-

11

Table 48 —Number of Full-time Police Department Employees, December 31,
1963, Cities With Population Under 25,000

City by state

ALABAMA

Albertville

Alexarxder City.-

Atmore

Auburn

Boaz

Brighton

Cliickasaw

Cliildersburg

Fairfield

Fairhope

Florala

Fort Payne

Gardendale

Graysville

Hartselle

Homewood

Hueytown

Lafayette

Leeds

Marion

Midfield

Mountain Brook.

Northport

Oneonta

Opelika

Oxford

Pleasant Grove. .

Prattville

Saraland

Sheffield

Tallassee

Tarrant City

Troy

Tuscumbia

Union Springs--.

Number of
police de-
partment

employees

ALASKA

Fairbanks-

Juneau

Ketchikan.

ARIZONA

Avondale

Bisbee

Casa Grande.

Chandler

Douglas

Eloy

Globe

Holbrook

Jerome

Kingman

Miami

Nogales

Page

Peoria

Prescott

Satford

Sierra Vista—

Tolleson

Williams

Winslow

ARKANSAS

Arkadelphia.
Booneville.-.

Camden

Helena

Hope

Jacksonville.

Mena

Monticello...

City by state

ARKANSAS— Con.

Paragould

Piggott

Siloam Springs.

Springdale

Van Buren

Walnut Ridge-

CALIFORNIA

Albany

Alturas

Anderson

Angels Camp...

Antioch

Areata

Arroyo Grande.

Arvin

Atherton

Atwater

Auburn

Azusa

Banning

Barstow

Beaumont

Belmont

Belvedere

Benicia

Biggs

Bishop

Blue Lake

Blythe

Brea

Brentwood

Broadmoor

Calistoga

Campbell

Carlsbad

Carmel

Ceres

Chico

Chino

Chowchilla

Claremont

Cloverdale

Clovis

Coachella

Coalinga

Colfax

Colma

Colton

Corcoran

Corning

Coronado

Corte Madera.
Crescent City-
Cypress

Dairyland

Davis

Delano

Dinuba .

Dixon

Dunsmuir

El Centro

El Segundo---

Elsinore

Emeryville —

Escalon

Escondido

Etna

Exeter

Fairfax

Fairfield

Fillmore

Folsom

Fontana

Number of
police de-
partment

employees

City by state

Number of
police de-
partment
employees

CALIFORNIA— Con.

Fort Bragg

Fort Jones

Fortuna

Gait

Gilroy

Glendora

Gonzales

Grass Valley

Gridley

Grover City

Guadalupe

Gustine

Half Moon Bay..

Hanford

Healdsburg

Hemet

Hercules

Hillsborough

Holhster

Holtville

Huron

Imperial

Imperial Beach-.

Indio

lone

Isleton

Jackson

Kensington

Kerman

King City

Kingsburg

Laguna Beach „ .

Lakeport

Larkspur

La Verne

Lemoore

Lindsay

Live Oak

Livermore

Livingston

Lompoc

Los Altos

Los Banos

Madera

Manteca

Martinez

Marysville

McFarland

Mendota

Merced

Millbrae

Milpitas

Montclair

Monterey

Needles

Newark

Newman

North Sacramento..

Novato

Oakdale

Ojai

Orange Cove

Orland

Oroville

Pacifica

Pacific Grove

Palm Springs

PalosVerdes Estates

Parlier

Paso Robles

Patterson

Perris

Petaluma

Piedmont

Pinole ■

140

Table 48. — Number of Full-time Police Department Employees, December 31,
1963, Cities With Population Under 25,000— Continued

City by state

CALIFORNIA— Con.

Pismo Beach

Pittsburg

Placentia

Placerville

Port Hueiieme

Portola

Red Bluff

Redding

Reedley

Rialto

Rio Vista

Ripon

Riverbank

Rocklin

Ross

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

Sausalito

Seal Beach

Seaside

Sebastopol

Selma

Shatter

Sierra Madre

Soledad

Sonoma

Sonora

South Pasadena

Stanton

State Harbor Police.

Suisun City

Susanville

Taft

Tracy

Tulare

Tulelake

Turlock

Tustin

Ukiah .-

University of Cali-
fornia

Upland

Vacaville

Vernon

Victor ville

Visalia

Walnut Creek

Wasco

Watsonville

Weed

Willits

Winters

Woodlake

Woodland

Yreka

Yuba City -

Number of
police de-
partment

employees

COLORADO

Brighton

Broomfleld

Brush

Canon City

Commerce City

City by state

COLORADO— Con.

Cortcz

Delta

Durango

Florence

Fort Morgan

Glenwood SpringS-

Golden

Grand Junction

Gunnison

La Junta

Lamar

Leadville

Littleton

Longmont

Loveland

Manzanola

Monte Vista

Montrose

Rocky Ford

Salida

Trinidad

Walsenburg

Westminster

CONNECTICUT

Ansonia

Bethel

Bloomfield

Branford

Cheshire

Clinton

Danielson

Darien

East Haven

Farmington

Glastonbury

Granby

Groton Borough.

Madison

Monroe

Naugatuck

New Canaan

Newington

North Haven

Old Saybrook....

Orange

Plainville

Putnam

Ridgefield

Rockville

Rocky Hill

Shelton

Simsbury

Southington

Sprague

Stonington

Suffield

Trumbull

Watertown

Westport

Wethersfield

Willimantic

Wilton

Wolcott

Woodbridge

Number of
police de-
partment

cmi)loyees

DELAWARE

Dover

MUford

Newark

New Castle.

City by state

DELAWARE Con.

Seaford..
Smyrna.

FLORIDA

Apalachicola

Apopka

Auburndale

Bartow

Bay Harbor Islands.

Biscayne Park

Boca Raton

Boynton Beach

Bradenton

Clewiston

Cocoa Beach

Dade City

Deerfield Beach

De Land

Eau Gallic

Eustis

Gulfport

Haines City

Holly Hill

Jacksonville Beach.

Kissimmee

Lake City

Lake Park

Lake Worth

Lantana

Maitland

Margate

Marianna

Miami Shores

Miramar

Naples

Neptune Beach

New Port Richey..
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

Pompano Beach —

Quincy

Riviera Beach

Rockledge

Safety Harbor

St. Augustine

St. Cloud

St. Petersburg

Beach

Sanford

Sebring

South Miami

Starke

Surfside

Tarpon Springs

Temple Terrace —

Treasure Island

Venice ---

West Miami

Winter Haven

Zephyrhills

Numl)er of
police de-
{)artment

employees

141

Table 48. — Number of Full-time Police Departm,ent Employees, December 31.
1963, Cities With Population Under 25,000— Continued

City by state

GEORGIA

Adel-...

Alma

Americus

Bainbridge

Barnesville

Brunswick

Calhoun

Canton

Carrollton

Cartersville

Cordele

Decatur

Douglas

Dublin

Elberton

Gainesville

Greensboro

Griffin

Hapeville

Jackson

La Grange

Lawrenceville- _

Milledgeville

St. Marys

Sandersville

Swainsboro

Tifton

Toccoa

Warner Robins.

Washington

Waycross

IDAHO

Blackfoot

Buhl

Caldwell

Coeur d'Alene---

Emmett

Grangeville

Jerome

Kellogg

Lewiston

Montpelier

Moscow

Mountain Home.

Nam pa

Payette

Preston

Rupert

St. Anthony

Sandpoint

Shelley

Soda Springs

Twin Falls

Weiser

Number of
police de-
partment

employees

ILLINOIS

Abingdon-
Addison

Barrington.
Bartonville-

Batavia

Bellwood_..
Belvidere.--

Benld

Bensenville.

Berkeley

Bethalto

Bradley

Broadview..
Brookfield--

Cahokia

Cairo

City by state

ILLINOIS— Con.

Canton

Carbondale

Carmi

C ar penters ville

Cary

Caseyville

Centralia

Charleston

Chester

Chillicothe

C hristopher

Clarendon Hills

Coal City

Collinsville

Countrv Club Hills

Crest Hill

Deerfield

De Kalb

Dixmoor

Dixon

Downers Grove

Dupo

East Alton

East Moline

Edwardsville

Effingham

Eldorado

Elk Grove Village ..

Elmwood Park

Eureka

Fairfield

Fairmont City

Flora

Flossmoor

Franklin Park

Galena

Geneseo

Geneva

Gibson City

Gillespie

Glencoe

Glen Ellyn

Glenview

Golf

Gray slake

Green Rock

Harvard

Harwood Heights.

Havana

Highland

High wood

Hillsboro

Hinsdale

Hoffman Estates. _

Homewood

Hoopeston

Itasca

Jacksonville

Jersey ville

Justice

Kenilworth

La Grange

La Grange Park...

Lake Zurich

Lansing

La Salle

Lawrenceville

Liberty ville

Lincoln

Lincolnwood

Lisle

Litchfield

Lockport

Loves Park...

Lyons

Number of
police de-
partment

employees

City by state

ILLINOIS— Con.

Macomb

Madison

Markham

Marquette Heights

Marshall

Mascoutah

Matteson

McHenry

McLeansboro

Melrose Park

Mendota

Metropolis

Midlothian

Milan

Momence

Monmouth

Morris

Morton

Mount Morris

Mount Prospect

Mount Vernon

Mundelein

Naper ville

Nashville

Newton

Niles

Nokomis

Normal

Northbrook

North Chicago

Northfield

Northlake

North Riverside

O'Fallon

Oglesby

Orland Park

Ottawa

Palatine

Palos Heights

Palos Park

Pana

Paris

Paxton

Peoria Heights

Peru

Pittsfield

Piano

Polo

Princeton

Rantoul

Riverdale

River Forest

Riverside

Robinson

Rochelle

Rockdale

Rock Falls

Rolhng Meadows.. -

Romeoville

Roselle

Round Lake Beach.
Round Lake Park. .

St. Charles

Sandwich

Schiller Park

Silvis

Staunton

Steger

Stickney

Stone Park

Streaniwood

Streator

Sullivan

Summit

Swansea I

Number of
police de-
partment

employees

142

Table 48.— Number of Full-time Police Deparlmen t Employees, December 31
1963, Cities With Population Under 25,000— Continued '

City by state

Number of
police de-
partment

employees

City by state

Num))er of
police de-
partment
employees

City by state

Number of
police de-
partment

employees

ILLINOIS-Con.

Sycamore.--

8

10

1

8

4

5

15

25

2

7

3

9

8

16

19

6

2

12

7

25

3

8

12

8

4

14

6
10
6

26
9
2
4
7

12
4
4

10

10
8
3

25
8

12
4
4
3

10
2

22
5
5

21
3
9
9

16

18
4

23
3
6

21
9
5

32

13

12
9

30

16

11

INDIANA-Con.

Mitchell

f)

7

8

12

13

5

39

10

15

6

7

23

4

8

14

10

12

4

7

4

12

3

8

3

13

22

15

3

6

22

23

20

13

22

27

8

4

3

3
14

4
15
26

9

5
16

7

3

12
11

7

3

5

3

7
11
17

8

8

8

5

4
10
11
11

5
23

6

8

7

10
12

IOWA— Continued

Marshalitown

Missouri Valley

Mount Pleasant

New Hampton

22
4
10

Tavlorville

M onticello

Thornton

Tinlev Park

Motuit Vernon

Munster

Tuscola

17
17
7
3
11
10

Vandalia

Nappanee

Venice. _ -

New Castle

Osage

Osceola

Villa Park

New Haven ..

Virden

Noblesville

Oskaloosa

Perry ...

Washington

North Manchester..

North Vernon

Peru

Washington Park...

Red Oak

7

W^atseka

Rock Rapids

Sheldon

3

5
8
3

11
5

10
3
6
9

11

18
5

Wauconda

Petersburg

Westchester

Plainfield

Shenandoah

Sibley

Western Springs

Portage.. . _ .

West Frankfort

W^estville

Portland

Princeton

Rensselaer

Spencer

White Hall

Sffirm T dlra

Wilmington

Rochester

Tama

Winnetka

Rockville

Winthrop Harbor —

Rushville

Waverly

Webster City

West Burlington...
West Des Moines...
Windsor Heights...

KANSAS

Abilene

Wood Dale

W^ood River

Scottsburg

Sellersburg

Seymour

Shelbyville

Woodstock

Zeigler

Zion.

INDIANA

Speedway

Tell City

11

Angola

Valparaiso

4
19
17
16
6
7

Auburn

Arkansas City

Batesville _.

Bedford

W^arsaw

Beech Grove

Berne

West Lafayette

Whiting..

Baxter Springs

Belleville

Bicknell

IOWA

Algona

Beloit

g

Boonville

Caney

4

Brazil

Chanute. .. .

13

Brookville .

3

5

21

4

Chesterton . _.

Anamosa

Clay Center

Clarksville

Ankenv

Clinton

Audubon

Colby

Columbia City

Bettendorf. .

Columbus

3

Corydon

Bloomfield

9

Crawfordsville

Boone. __ .

Council Grove

Derby

5

Crown Point

Cedar Falls

10

Decatur

Centerville

DriHcrp Pitv

17

Delphi

Chariton ...

4

Dunkirk .

Charles City

Ellis

4

Dyer

19

East Gary

Clarion

Eureka

g

Fairmount- .

Clear Lake

Fairway

Fort Scott

g

Frankfort

Creston

15

Garrett

Decorah-

Fredonia

5

Gas City _-

Dyersville

Garden City

Garnett ..

18

Goshen

Eagle Grove

Eldora

8

Greendale

6

Greenwood

Evansdale

rrrpsit TJpnrl

24

Griffith

Fairfield

Hays

Herington

15

Fort Madison

Glenwood. ... . .

6
6

Hobart

Huntingburg

Grinnell

5

Huntington

7

Jasonville

Harlan ..

8

Jasper ... ...

Humboldt

lola

Jeffersonville

Independence

Indianola. .

11

Kendallville

Junction City

Kingman

28

Knox .

Iowa Falls

9

La Porte

Jefferson... .

4

Lawrence

Keokuk

Larned

Leavenworth

Leawood

Liberal

Lindsborg

Lyons

5

Lebanon

Linton

Knoxville

Le Mars

21
9

Logansport

Manchester

Maquoketa

17

Madison..

3

Martinsville

Marion

7

143

Table 48. — Number of Full-time Police Department Employees, December 31.
1963, Cities With Population Under 25,000 — Continued

City by state

KANSAS— Con.

Manhattan

McPherson...

Merriam

Mission

Mulvane

Oakley

Osawatomie..

Paola

Parsons

Plain ville

Pratt

Eoeland Park.

Russell

Shawnee

Valley Center,
WaKeeney---

Wellington

Winfield

Number of
police de-
partment

employees

EEKTUCKY

Bardstown

Beaver Dam

Bellevue

Benton

Berea

Campbellsville

Catlettsburg

Elizabethtown

Flatwoods

Fort Thomas

Franklin

Georgetown

Glasgow

Greenville

Harlan

Harrodsburg

Highland Heights-..

Hopkinsville

Jetfersontown

Lancaster

Lawrenceburg

Lebanon

Mayfield

Middlesboro

Monticello

Mount Sterling

Murrey

Nicholasville

Paris

Park Hills

Prcstonsburg

Richmond

St. Matthews

Somerset

South Fort Mitchell
Winchester

LOUISIANA

Bastrop

Bogalusa

De Ridder

Donaldsonville.

Eunice

Franklin

Hammond-. ...

Haynesville

Jonesboro.-...-

Kaplan

Mamou

Alarksville

New Roads.- --

Plaquemine

Rayne

City by state

LOUISIANA— Con.

Ruston

Springhill

Thibodaux

Vivian

Welsh

West Monroe

MAINE

Augusta

Bar Harbor

Bath

Brewer

Brunswick

Calais

Cape Elizabeth

Dexter

Dover— Foxcroft

EllsM'orth

Falmouth

Farmington

Fort Fairfield

Gardiner

Hallowell

Hampden

Houlton

Limestone

Lisbon Falls

Madawaska

Madison

Millinocket

Old Orchard Beach.

Old Town

Orono

Pittsfield

Presque Isle

Rockland

Rumford

Saco

Sanford

Skowhegan

South Portland

Van Buren

Waterville

Westbrook

Winthrop

Yarmouth

York

MARYLAND

Aberdeen

Annapolis

Bel Air

Bladensburg

Brunswick

Cambridge

Cri.sfield

District Heights

Easton

Elkton

Frederick

Frostburg

Havre de Grace

Salisbury

Spnrrows Point

Takoma Park

Thnrmont

University of M ary-
land

MASSACHUSETTS

Abington

Acton

Number of
pohce de-
partment
employees

10

55

6

5

6

26

8

3

13

7

35

11

12

34

205

22

1

32

City by state

M.ASSACHUSETTS
—Continued

Acushnet

Adams

Agawam

Amesbury

Amherst

Andover

Ashburnham

Ashland

Athol

Auburn

Ayer

Barnstable

Bedford

Bellingham

Blackstone

Bourne

Bridgewater

Brookfield

Burlington

Chelmsford

Clinton

Cohasset

Concord

Danvers

Dartmiouth

Dennis

Dover

Dracut

East Bridgewater--.

E asthampton

East Longmeadow-

Easton

Fairhaven

Falmouth

Foxboro

Franklin

Gardner

Georgetown

Grafton

Great Barrington--.

Greenfield

Groveland

Harwich

Hingham

Holbrook

Holliston

Hudson

Hull

Ipswich

Lee

Leicester

Lincoln

Longmeadow

Ludlow

Lynnfield

Marblehead

Marion

Marlboro

Marshfield

Mattapoisett

Medfield

Merrimac

Milford

Millbury

Minis

Montague

Nahant Township.

Nantucket

Newbury

Newbur yport

Norfolk

North Adams

North Andover

North Attleboro...

Number of
pohce de-
partment
employees

144

Table 48. — Number of Full-time Police Deparlmenl Employees, December 31,
1963, Cities With Population Under 25,000— Conliniied

City by state

Number of
police de-
partment

employees

City by state

Numl)er of
police de-
partment
employees

City by state

i\uml)er of
police de-
partment

employees

MASSACHUSETTS
—Continued

12

2

13

5

()

11

12

7

3

31

30

19

8

10

25

29

13

14

11

3

30

13

31

21

12

28

11

1

6

1

20

11

20

14

25

10

13

10

10

21

37

32

17

29
18
5
14
20

9

2

40

21

4

14

11

1

11

6

13

4

2

2

16

9

7

4

18

15

2

MICHIGAN-Con.

Crystal Falls

Davison

4
3

10
8

22
6

16

11
7
6
1
8
6

18
7
7
9

18

28
32

43
5

31

10
8

33
7
7
7
4

29

14
7

11
5
4

13
2

11
5
4

23

11
7
5

23

14

33

8
38
30

7
16

6
29
12

5
29

2

9

6
29

8
10

4

8
18

8
45
14
12

4

MICHIGAN-Con.

Romeo

7

Northboro

Roosevelt Park

St. Johns

2

Northbridge

North Brookfield

Dowagiac... -. _

7

Durand

St. .Joseph

22

North Reading

Escanaba--- . _-

St. Louis

5

Norwell -..

Essex ville

Farmington

Sault Ste. Marie

Scottville --

25

Orange

2

Oxford - -

Fen ton

Flat Rock

South Haven

South Range

Sparta

13

Palmer

Pembroke

Fremont

Gaastra.. - - -

3

Plainville

3

Plymouth

Gibraltar

Sturgis

15

Gladstone- -

Swartz Creek

Tecumseh--

5

Grand Haven

Grand Ledge

Grand ville

11

Rockport

Salisbury

Three Rivers

Traverse City

Trenton

13
23

Greenville

37

Scituate

Grosse Pointe

Grosse Pointe
Farms

Troy

22

Seekonk

Vassar

4

Sharon

Wakefield

5

Grosse Pointe Park.
Grosse Pointe
Woods

Walled Lake

Wayne.- .- .- -

4

33

Southbridge

South Hadley

Ypsilanti-.

38

Hancock

Zeeland-

3

Harper Woods

Hastings

MINNESOTA

Albert Lea

Sudbury .

Hillsdale

Swampscott

Swansea

Holland

25

Holly

Alexandria ..

7

Topsfield

Howell

Anoka

15

Tyngsboro

Huntington Woods,
Iron River

Arden Hills

1

Aurora . _

4

Walpole

Iron wood

Ishpeming

Babbitt

3

Ware

Bayport--

3

Wareham

Lake Orion

Bemidji

18

Wayland

Benson. _

6

Webster

Lathrup Village

Blaine

8

Blue Earth

5

Weston

Ludington

Brainerd .. -

16

Westport

Williamstown

Wilmington

"Winchester

Mackinac Island

Manistee

Manistique

Marine City

Marquette

Breckenridge

Brooklyn Park

Chaska - -

8
7
2

Chisholm _ ,

14

W^inthrop

Cloquet - - --

12

Yarmouth

Marshall

Columbia Heights- -

Coon Rapids

Cottage Grove

Township

Crookston . _

15

Marysville-- .

14

MICHIGAN

Mason

Melvindale

4

Adrian . .

16

Albion

Michigan State

University

Milford

Crosby..

4

Deephaven

Delano.- -- . -

2

2

Detroit Lakes

East Grand Forks..
Elv

8

Battle Creek

Township

Bedford Township__

Bpntnn TTnrbnr

Mount Clemens

Mount Morris

Mount Pleasant- ---

Munising

Muskegon Heigh ts--
Negaunee---

12
11

Eveleth

11

Fairmont

13

Berkley

Faribault

Fergus Falls -..

Fridley. - - ..-

20

Bessemer__

15

Beverly Hills

Big Rapids

New Baltimore

Niles

13

Glen wood . --- ..

7

Blissfield

North Muskegon--.
North ville

Golden Valley

Grand Rapids

Hastings . _ -- .-

16

Bloomfield Hills.--.

8

Boyne City

11

Cadillac

Owosso

Hibbing

23

Caro

Oxford

Hopkins -

14

Caspian

Petoskey

Hoyt Lakes

3

Cedar Springs

Center Line

Charlotte

Plainwell

Hutchinson. .-

7

Pleasant Ridge

Plymouth

International Falls..
Jackson . . .

10
5

Portland

River Rouge

Riverview

Lake City--

5

Chelsea

Lauderdale

Le Sueur

1

Clawson

4

Coldwater

Rochester

Little Falls

Mankato

8

Comnna

Rogers City

31

145

Table 48.- — Number of Full-time Police Department Employees^ December 31,
1963, Cities With Population Under 25,000 — Continued

City by state

Number of
police de-
partment

employees

City by state

Numl)er of
police de-
partment

employees

City by state

Number of
pohce de-
partment
employees

MINNESOTA— Con.

11

12
1
8
5
4
1
5
5
2

15
9
5
8
3
4

16
4

4
17
4
15
8
5
2
6
4
3
5
4
4

26
3
2
4
13
4
8
22
3
4
4
2
10
13
16
40
14

5

13
13

4
20

4

33
11

4

13
13

2

4
10

5

13
4

23
3

11

17

MISSOURI- Con.

12

16
5
8

16

38

13
8

6

8

4

10

5

4

22

8

14

12

8

1

25

4

12

2

8

27

15

23

4

11

12

22
5

12

11

20

18

9

11

14

5

24

4

4

13

28

2

6

5

19

• 4

33

22

3

8

18

8

5

6

32

14
4
7
2
4

10
4

10
2

10
4

MONTANA

Anaconda

Bozeman.- - . .

12

1\/rQr<;hnll

Brookfield- -- -

16

Mendota Heights.- -

Montevideo

]VI orris

Carthage

Choteau . .

3

2

Charle'^ton

Culbertson

1

Chillicothe - -

Cut Bank

9

Mounds View

New Brighton

■Voxir TTnnp

Clayton

Dillon

7

14

Creve Coeur

Crvstal City

Dellwood

Glendive. ...

10

New Prague- -_----

"NTo^v TTlm

Hardin

8

Havre - . _ .

14

De Soto

Helena _- . .

27

North Mankato

North St. Paul

Eldon

Kahspell

14

Excelsior Springs. ._
Farmington. _- -

Lewistown

Libbv

10
5

Ortnn villp

Favette

Livingston . ._ .

12

Miles City

15

Park Rapids

PinPdtnnp

Frontenac

Plenty wood

Red Lodge ..

4

Fulton

4

Gladstone -

Shelbv

8

Rpd Wine

Glendale - -

Sidnev . --

9

Redwood Falls

Robbinsdale

St. Anthony

Hanley Hills

Whitefish

4

Wolf Point-.

3

Harrison ville

NEBRASKA
Alliance -

St. Paul Park

12

Sauk Centre

Sauk Rapids

Jennings

Auburn . -

7

Kirks ville

3

Beatrice .. -

20

<>il vpr Rnv

Lamar

Bellevue . _

11

Sleepy Eye--

South St. Paul

Lee's Summit

Liberty

Blair

6

Chadron

7

Columbus .-- - -

17

Spring Valley

Staples

M^aplewood

Cozad - -

7

Marceline

Crawford - . -.

2

Thief River Falls—
Tracv

Marshall

Crete

5

Maryville - --

Fairbury _ . -

7

28

Moberlv -

Gering.

9

Wabasha

Monett

Gothenburg

7

30

AVci V7fltf»

Nevada -- -

Holdrege - _ _

9

Wells

22

West St. Paul

North Kansas City-

Northwoods

O'Fallon

11

McCook

14

Norfolk

18

Winnna

Olivette - -

North Platte

Ogallala

32

Worthington

Overland

10

Plattsmouth

Ralston __ -.

5

MISSISSIPPI

4

Bay St. Louis

Pine Lawn

Poplar Bluff

Potosi-- --- -

Schuyler

4

Scottsbluff--

22

Cleveland

6

Clinton

Ravtown

Sidnev - -

14

Corinth

Richmond Heights.
Riverview

4

Durant

Wahoo . ._ -

4

Rock Hill

4

Iceland

Rolla

York

10

Jjong Beach

St Ann

NEVADA

Boulder City

Carson City

Elko

McConib

Ste. Genevieve

Salem _ .

Ocean Springs

Sedalia _- -.

11

Wavnesboro

Shrewsburv . .

19

West Point

13

Slater

Fallon.. .-- ---

10

MISSOURI

Trenton

Sparks

25

Ballwin

Valley Park

Winnemucca

NEW HAMPSHIRE

Berlin . . -

8

Neighbors

Bel- Ridge

Warrensburg

Warson Woods

Webb City

Berkeley

31

Wentz ville . _.- _

Conway

Derrv - -. --

4

Boonville

West Plains

7

Brentwood

Woodson Terrace...

Durham

3

146

Table 48. — Number of FuU-thne Police DeparLment Employees, December 31,
1963, Cities With Populalion Under 25,000— Continual

City by state

Number of
police de-
partment

employees

City by state

Number of
police de-
I)artment
employees

City by state

Number of
police de-
partment

employees

NEW HAMPSHIRE
—Continued

3
10
6
4
3
23
13
5
4
6
1
3
20
12
13

9

6

42

7

14

4

2

2

18

6

6

15

16

9

15

14

34

12

8

29

10
7
21
13
15
39

17

10

23

4

29

12

23

12

16

3

2

5

15
21
27
14

24

12
25
19
15
19
9
11
12

NEW JERSEY- Con.

Fair Haven .

8

9

20

14

4

13

15

44

3

5

14

4
10
11
22
22
24

20

2

10

14

26

19

17

6

57

22

6

19

21

5

16

63

7

5

2

12

14

17

10

5

2

32

5

24

16
5
5
5

10
13
38

15
9
28
33
3
12
14

15

58
20

8
21

4
12

NEW JERSEY-Con.

Metuchcn

2''

Franklin

Fairfield Township.
P air view

Middlesex

16

Goffstown

Midland Park

Mill burn Township.
Mill I own

^

Hampton

Fanwood . .

50

Hanover

Flemington

Florence Township.

Florham Park

Fort Lee..

c

Hudson

Millville

25

Jaffrey

Mine Hill Township.

4

7

Keene

Lebanon

Franklin

MontvilleTownship.
Moorestown Town-

9

Littleton

Franklin Lakes

Freehold

Galloway Town-
ship

Newmarket _.

25

Newport

36

Pelham -

Morris Township...

Mountain Lakes

Mountainside

Mount Holly

Neptune

20

Peterborough

Garwood

6

Rochester _ _ __

Glassboro

14

Salem

Glen Ridge

21

Somersworth

Glen Rock

8

NEW JERSEY

Gloucester City

Gloucester Town-
ship

Neptune Township.

NewMilford

New Providence

New Shrewsbury...
Newton

36

24
17

Absecon.-

Green Brook Town-

Allendale

9

Asbury Park_-.

Atlantic Highlands.

Greenwich
Township .

North Brunswick
Township ..

1

North Haledon

North Plainfield....
Nortlivale

6

Bay Head

Haddonfield

Haddon Township..
Hanover Township.

Harrington Park

Harrison

Hasbrouck Heights.
Haworth

28

Beach wood . ..

5

Belvidere - -

North Wildwood...
Norwood .

18

Berkeley Heights...
Berkeley Township

4

Oakland

14

Oaklyn

9

Bogota -- - -

Ocean City

37

Ocean Grove

Ocean Township

Oradell

11

Bordentown..

Highland Park

Highlands

24
13

Bradley Beach

Bridgeton

Hillsdale

Hillside Township..
Ho-Ho-Kus

Palisades Interstate
Park

2S

Brielle . .

Palisades Park

Passaic Township...
Paulsboro

20

Hopatcong.. ....

6

13

Burlington Town-

Jefferson TowTiship.

Pemberton Town-
ship

12

Butler

Kenilworth

Penns Grove

Pe(iuannock

Township

Phillipsburg

Piscataway

Township

Pitman.

13

Caldwell

Cape May

Kinnelon .. . .

12

Carlstadt

Lakehurst

25

Carteret

Lake wood ..

Cedar Grove Town-

Lambert ville

Lawrence Town-
ship --

32
13

Chatham Township

Pleasantville

Point Pleasant

Point Pleasant
Beach

23

Clark

Levittown Town-
ship . . ..

16

Clayton

Cliffside Park

Lincoln Park

Lindenwold

16

Closter

Collmgswood

Cresskill

Deal

Pompton Lakes

Princeton

13
24

Little Ferry ..

Little Silver

Livingston

Princeton Tomti-
ship . .

22

Delanco Township.
Delran Township...

Prospect Park

Ramsey

Randolph Town-
ship

4

Lower Penns Neck

Township

Lower Township...

Madison

Madison Township.
Magnolia

16

Denville Township.

10

Red Bank

33

Duniont ....

Ridgefield Park

River Edge

20

16

East Brunswick
Township

East Hanover
Township

East Paterson

East Rutherford

Manasquan

Manville

Maple Shade Town-
ship

Riverside

11

Rochelle Park
Township..

11

6

Maplewood Town-
ship

Margate City

Matawan

Rockaway Town-
ship

17

Roseland

8

Edgewater

Roselle

35

Egg Harbor City..

Maywood

Roselle Park

Roxbury Town-
ship

22

Medford Township.
Merchant ville

Englewood Chfls...

12

147

Table 48. — Number of Full-time Police Department Employees, December 31y
1963, Cities With Population Under 25,000 — Continued

City by state

Number of
police de-
partment

employees

City by state

Number of
police de-
partment

employees

City by state

Number of
police de-
partment

employees

NEW JERSEY— Con.

Rumson.. __.

12

8
35

18

25

11

30

6

2

8

24

5

9
45
26
22
12
32

9

2

5
30
33

8
16

5
26
26

4
11
15
22

5

9
11

43
20

11
7
9

19
6

23

12

26
6
4

18
2

13

17
9
4

10

36

11

10
6

45
5

21
8

26

NEW MEXICO-
Continued

Portales ...

14
13
14
3
6
6

1

18

12

4

2

5

4

30

14

29

18

5

15
6
23
4
19
7
2
6

14

7

4

3

3

3

38

2

2

25

1

31

1

10

1

19

4

28

11

53

12

7

11

42

15

6

4

34

5

3

10

26

58

30

33

5

8

5

7

5

14

3

60

18

11

NEW YORK-Con.

Herkimer

16
1

Runnemede

Highland

Rutherford

Silver City .. .

Hoosick Falls

Hornell

3

24

Saddle Brook

Tucumcari

Township.

Tularosa .... .

8
21

Scotch Plains

University Park

Zuni Pueblo

Hudson

Sea Isle City

Hudson Falls

Ilion

13

19

Secaucus ..

NEW YORK

Altamont

Shrewsbury

Irvington

16

Somerdale

Johnson City

34
17
29
11
16
12
25
9

Somers Point

Somerville

Amityville

South Bound

Ardsley

Lake Placid

Lancaster Town

Lancaster Village...

Brook

South Brunswick

Attica

Township

Baldwinsville^

Ballston Spa

Batavia

Bath

South Orange

Liberty.

South Plainneld__..

Little Falls

13

South River

g

Sparta Township...

Beacon ..

T.vnhrnnt

53

Springfield

Bethlehem .. .

6

Spring Lake

Blasdell

15

Heights

BriarclifT Manor

Brockport . .

TVf nlvprnp

22

Stafford Town-

24

ship.

Bronxville

Canajoharie

Canandaigua

Canastota

Mechanicville

12
10

Stratford

Tenafiy-. .

Middletown

45
3
16

Toms River

Union Beach

Canisteo..

Upper Penns Neck.

Mount Pleasant

Newark

Upper Saddle

Carmel . .

17

River

Carthage

Cayuga Heights

Cazenovia

23

1

18

18

9

5

23

15

Ventnor City

Verona . .

New York Mills....

North Castle

North Pelham

Northport

North Syracuse

North Tarrytown...

Voorhees Township.

Waldwick ._

Cobleskill

Wallington

Cohoes

Wall Township

Washington

Cooperstown

Corinth

Washington Town-

Corning .

2

ship

Cornwall

16

Watchung

23
33

Weehawken Town-

Coxsackie.

Olean

ship . . ....

Dansville

21

West Caldwell

Dewitt

21

West Deptford
Township

Dobbs Ferry

Dolgeville.. ... ..

Orchard Park

14
37

West Long Branch.

Dunkirk

Oswe^'o

31

West Paterson

East Aurora

Owego

12

Westwood

Eastchester.

1

Wharton

Ellenville

Painted Post

Pahsades Interstate
Park

3

Wildwood. .

Elmira Heights

Elmsford

Wild wood Crest

65

Woodbury

Endicott .

5

Woodcliff Lake

Evans

Peekskill

37

Woodlynne.

Fairport

'PplhnTn

15

Wood-Ridge.-.

Falconer

Pelham Manor

24

Wrightstown . . ..

Floral Park

11

WyckolT

Fort Edward

Fort Plain

■pidtttjViiira-h

31

Pleasantville

17

NEW MEXICO

Fredonia

17

Fulton

Potsdam

13

Artesia .

Garden City

Glens Falls

Poughkeepsie
Town

Aztec

35

Bernalillo

Gloversville

20

Clayton

Riverhead Town, . .

28

Clovis

22

Deming . .. .

Gowanda

Rve

47

Espanola ...

Green Island

Grecnport

St. Johnsville

3
13

Eunice. ..

Gallup

Hamburg

Saranac Lake

Saratoga Springs

11

JaL...

Las Vegas City

Harrison .

7

Las Vegas Town

Hastings-on-H udson
Haverstraw-

Scarsdale .

57

Los Alamos

Scotia

12

148

Table 48. — Number of Full- time Police Department Employees, December 31,
1963, Cities With Population Under 25,000 — Continued

City by state

Number of
police de-
partment

employees

City by state

Number of
police de-
partment

employees

City by state

Number of
police de-
j)artment
employees

NEW YORK-Con.
Seneca Falls

12

2
3
4
1

13
3
4

18
3

13
6

32

21
8
8

14
6
5
3
5
5
6
9
6

34
3
2
1

7
24
23
6
4
2
10
4
4

15
35
5
8
24
9
16
3

12
9
11
2
25
19
47
26
12
18
10
23
31
12

3
24
10
22
13
20
21

5
31

NORTH
CAROLINA- Con.

Raeford

Red Springs

Reidsville

6

6
31

1
44

4

26
16

2
39
17
27

5

9
19
10
12

2
10
14

6
20
12

4

3
11

6
15

2
14
18
3

11
12
4
14
10
18
11
14
11
21
20
4

16

10

6

6

13

17

11

3

20

20

5

5

3

7

8

13

7

2

2

4

15

7

2

9

OHIO— Continued
Defiance..

IS

Sherrill

Delaware

17

Skaneateles

DennisoP

4

Sloan

19

Sloatsburg.

Rolesville

Eastlake

13

Southampton

Salisbury

East Liverpool

Eaton ---

26

South Glens Falls..,

Scotland Neck

Shelbv

6

South Nvack

34

Spring Valley.-

Smithfield ._

Fairfield

9

Spring Lake

Statesville

Fair|)ort Harbor

Fairvicw Park..

Foscoria

Suftern

21

Ticonderoga . .

Tarboro

23

Tonawanda

Thomasville

Valdese . .

Franklin

10

Tuckahoe

Fremont

27

TupperLake..

Wadesboro

Tuxedo Park

Washington

AVaynesville

Whiteville

Gallon

17

Vestal

Gallipolis

10

Walden

6

Wappingers Falls.. .

NOETH DAKOTA

Bottineau

Gerniantown

Gibson burg...

Girard

7
5

Warwick .. . .

16

Waterloo _ _ .

Golf Manor

7

Waverly ...

Devils Lake

Dickinson

Grandview Heights-
Greenfield

12

Wellsville

8

Westfield—

Grafton _ . .

Greenhills

5

West Seneca

Jame'^town

Greenville

10

Whitehall

13

Whitesboro

Rugby

Harrison

8

Yorkville

South West Fargo. _
Vallev City

Hicks ville

3

Ililliard

6

NOETH
CAROLINA

Hillsboro

9

Williston _ . .

Hubbai'd

11

OHIO
Ada

8

Ahoskie .-

Independence

Jackson

9
13

15

Asheboro _ _

Amberley

Lebanon

10

Ay den . .. .

Lincoln Heights

Lockland ...

9

Beaufort

Aurora

11

Belhaven

9

Belmont _ __ _-

Avon Lake _ _ _

Louisville

5

3

16

Clinton

B each wood

Madeira

5

Bedford . - -

6

Draper

Bedford Heights,. ..

Marietta

21

Elizabeth City

Belle vue

Maumee

13

Elkin

14

Forest City

Bexley

Mentor-on-the-Lake

Mlamisburg .--

Middleport --

4

12

Bowling Green,. ...
Brecks ville . . ..

4

Granite Falls .

Mingo Junction

8

Hamlet _ ._ ._

4

Havelock

Broadview Pleights.

Montgomery...

4

4

Henderson ville

Brook Park

Moraine . ....

11

Hickory

Mount Gilead

Mount Healthy

Napoleon --

4

Jacksonville

Cadiz

5

Kings Mountain...,

Cambridge

10

2

Leaksville

Can fie Id

Nelson ville

5

Lenoir

Carey

New Boston..

Newburgh Heights.

New Carlisle

Newcomerstown

New Lexington.

New Philadelphia..

Newton Falls

Nilos-_. .....

North Canton

North College Hill..

North Olmsted

North Ridgeville...
North Royalton

10

Lexington

Carrollton

6

Chagrin Falls...-.-.
Cheviot

4

Louisbm'g

8

Lowell

Circle ville ... --

5

Lumberton

Clyde

17

6

22

MoreheadCity

Columbiana..

9

7

Mount Airy __ .

Crestline

19

Mount Olive

Crooksville

5

New Bern

Deer Park..

12

149

Table 48. — Number of FuU-tirne Police Department Employees, December 31,
1963, Cities With Population Under 25,000 — Continued

City by state

Number of
police de-
partment

employees

City by state

Number of
police de-
partment

employees

City by state

Numl)er of
police de-
partment
employees

OHIO— Continued

14
2
35
6
4

18

13

4

10

18

15

3

6

12

19

8

12

14

13

8

26

17

8

15

7

6

6

10
5
11
19
3
8
15
2
4
13
17
22
4
7
5

14
12
4
24
13
10
13
16
8

14

13

3

4

7

10

9

2

20

27

17

10

19

3

15

16

8

3

6

25

15

12

OHIO— Continued

Xenia

29
5

23
9
6
15
4

22

13

4

13

4

2

13

14

4

6

27

14

18

14

3

11

8

5

6

5

6

4

7

4

28

23

8

5

4

22
6

19

7
14
17
2
9
3
5
6

25
13
18
12
11
18

4
14

9
11

6

8
10

4
17

6

7
10

6
38
16
18

OREGOW-Con.
Lebanon

9

Oak Harbor

Oakwood

Oberlin

Yellow Springs

OKLAHOMA
Ada

McMinnville

Milton-Freewater...

Myrtle Point

Newberg

10
10

4

10

OrGRon

Newport

5

Orrville

Alva

North Bend

Ontario

13

Ottawa

Antlers

12

Oxford -- -_ _-

Black well

Oregon City

Pendleton

15

Pninpsvillp

Phprnkpp

24

Parma Heights

Paulding

Phiplrnih'j

Prineville...

8

Claremore

Redmond

Reedsport

6

Pepper Pike

5

Clinton

Collinsville

Riddle

3

Piqua

Roseburg

23

Pnrt Plintnn

St. Helens

7

T? flvpnnn

Pii'jhinP'

Seaside

12

Silverton

7

Reynoldsburg

Richmond Heights.
Rocky River

Springfield

33

The Dalles

19

Tillamook

7

Toledo

5

St. Marys

Salem

West Linn

4

Woodburn

4

Healdton

PENNSYLVANIA

Aldan

Seven Hills

Shadyside__ .

Holdenville

3

Sharonville - _--

H oil's

9

Sheffield Lake

17

Shelby

Kingfisher

'S.nnville

.3

Sidney

12

Silver Lake

Madill

Ashland

Athens

3

Silverton

7

Solon

M arlow

Avalon

11

South Charleston...

3

Springdale .. ..

Miami

Beaver

Beaver Falls

Bedford

Bellefonte

10

Strongsville

Nichols Hills

25

Struthers

5

Tiffin

Okemah

7

TippCity

Bellwood

Bentleyville

1

Toronto-

Perry

2

Trotwood

Pry or Creek

Purcell

12

Trov

Birdsboro

Blairsville

Blakely

Borough Township.

3

Twinsburg

Sand Springs

S a pulp a

6

Union City

6

University Heights.

Spiro

1

Urbana . . ...

4

Vandalia ..

Tecumseh

Bradford

23

Van Wert

Tonkawa

Warr Acres

Brentwood

17

AYadsworth. ...

BristoL..

15

Wapakoneta.

OREGON
Albany.--

11

Warrensville
Heights

Burnham-Derry

Township

Butler

Butler Township...

7

Washington Court

36

House. . . ..

15

Wauseon.

Astoria _ . .

3

Wellington

Baker

Beaverton

Cain Township

Camp Hill

2

Wellsville . .

6

West Cai ronton ...

Bend

Canonsburg

14

Westerville

Brookings _ . .

16

West JelTerson. .

Coos Bay

Catasauqua

Chambersburg.-..--
Charleroi

5

Westlake

Coquille

Cottage Grove

Dallas

21

Whitehall

15

WicklifTe

Clairton

24

Willard

6

Willoughby

Forest Grove

Gladstone

Clearfield

11

Willoughby Hills...

Clymer

1

Willowick

Grants Pass

Grosham

Hormiston

Coal Township

Collin gdale..

4

Wilmington -_

5

Windham

Colwvn

2

Wintersville

Hillsboro

Connellsvillc-..

20

VVoodlawn

3

Wooster. . _

Klamath Falls

La Grande

12

Worthington

Corry

Coudersport

9

Wyoming

Lake Oswego

2

150

Table 48. — Number of Full- lime Police Department Employees, December 31,
1963, CiCies With Population Under 25,000 — Continued

City by state

PENNSYLVANIA—
Continued

Crafton

Crcssona

Cuniru Township-.

Curwonsville...

Dallastown —

Danville

Darby

Dcrry

Dickson City

Donora

Doylestowai —

Du Bois

Dunmore

Duquesne

East Lansdowne.--
East Stroudsburg-.
Easttown Town-
ship

Ebensburg

Edgeworth

Elizabethtown

Elizabeth Town-
ship. _

EllwoodCity

Emporium

Etna__

Exeter Township...

Farrell

Fleetwood

Ford City

Forest City

Forty Fort

Fomitain Hill

Franklin Township

Freedom

Frecport..

Gallitzin

Girardville

Glassport.

Greencastle

Greensburg

Green Tree

Greenville —

Grove City.

Hamburg

Hampden Town-
ship

Hanoier

Hatboro..

Hellertown

Honesdale

Hummelstown

Huntingdon..

Indiana

Ingram

Irwin.

Jeannette

Jenkintown

Jersey Shore

Jim Thorpe...

Johnsonburg.-

Kenh orst

K'ennett Square

Kingston

Lansdale

Lansford

Laureldale

Lawrence Park

Township

Leetsdale.

Lehighton

Lemoyne

Lewisburg

Lewistown

Number of
police de-
|)artment

employees

City by state

PENNSYLVANIA—
Continued

Lititz

Lock Haven

Lower Allen Town-
ship

Lower Burrell

Lower More land

Township _

Lower Providence

^Pownship

Lower Southamp-
ton

Luzerne

Mahanoy City

Manheim...

Marcus Hook

Marple Township..

Marysville

Masontown

McAdoo

McCandless Town-
ship

McKees Rocks

McSherrystown

Meadville

Mechanicsburg

Media

M ey ersdale

Millvale

Milton

Miiiersville

Monessen

Montoursville.-

Morrisville

Mount Carmel

Mount Union

Muhlenberg Town-
ship

Muncy

Munhall

Myerstown

Nanticoke

Narberth

Nether Providence

TowTiship

New Brighton

New Cumberland...

New Eagle

New Holland

New Kensington....
North Catasauqua..

North East

North Huntingdon

Township

North Versailles

Township

Oil City

Old Forge

Olyphant

O.xiord

Palmer Towaiship...

Palmyra

Penbrook

Penn Township
(Westmoreland

County)

Penn Towaiship
(York County)...

Philipsburg

Phoenixville

Pitcairn

Pittston

Plains To-wTiship

Plymouth

Port Allegany

Nuni1)er of
police de-
partment

employees

City by state

PENNSYLVANIA—
Continued

Port Carljon

J'ort Vue

Prospect Park

Pi.nxsutawney

Quakertown

Radnor Township.

Rcpuljlic

Reserve Township.

Rocklcdgc

Royersford

St. Clair

St. Marys

Salisbury

Township

Schuylkill Haven..

Selinsgrove

Shalcr Township...

Sharon

Sharon Hill

Sharpsb-'rg

Sharpsville

Shenango

Township

Shillington

Slatington

Somerset

South Greensburg.
South Lebanon

Township

Southmont

Southwest Greens-
burg

Spangler

Speers Boro

Spring City

Springdale

Springfield Town-
ship

Spring Township..

State College

Steelton

Stowe Township

Stroudsburg

Sugar Notch

Summit Hill

Sunbury

Susquehanna

Township

Swissvale

Tamaqua

Taylor

Telford...

Titusville

TrafTord

Tredyffrin

Township

Trevorton

Tyrone

Union City

Uniontown

Upper Dublin

Township

Upper Merion

Township

Upper Moreland

Township

Upper Saucon

Township

Upper Southampton

Township

Vandergrift

Warminster Town-
ship

Warren

Number of
police de-
partment

employees

151

Table 48. — Number of Full-time Police Department Employees, December 31,
1963, Cities With Population Under 25,000 — Continued

City by state

Number of
police de-
partment
employees

City by state

Number of
police de-
partment

employees

City by state

Number of
police de-
partment
employees

PENNSYLVANIA—
Continued

34

2

3

3
23

5

1
6
2
6
8
17

15

18

5
10
2

5
7
4
5
3
2
11
17
2
8

18
6
36
21
12
4
20
14
13
24
25
3
11
12
19
23

10
50

6
14
14
20
13
18
18

8
10
21
23
32
17
22

5
16
22

SOUTH CAROLINA
—Continued

17

10

32

39
8
5
9

6

14
2
3
7

15

12

18
7

16
4
5
5

11
8

16
3
4

11
25

8
39
26

8
26
13
20

5
11
19
24

4
11
18
17

4
13
12

8
25

1

13
11

7

8
17
14

4
13

7

7
16

4
10
2
6
3
10

TEXAS-Continued

25

Washington

Weatherly

Brady

5

North Augusta

Orangeburg

Bridgeport

Brownfield

Brownw^ood

Burkburnett

Canadian

Canyon

4
18

Weslevville

Sumter

24

West (^hester

West Goshen

Township

West Lampeter

Township

W^estmont

West Columbia

Williamston

Winnsboro

SOUTH DAKOTA

Belle Fourche

Brookings

12
3
6

11

Carthage

7

Castle Hills

4

West Newton

West Reading

West View

Whifehflll

Childress

7

Cisco

7

Canton

Cleburne

18

Fort Pierre

Clute Citv

4

Whitehall
Township

Hot Springs

Huron _

College Station

Colorado City

Columbus -

5
10

1

Township

Whitpain

Township

Wilkins Township. _

Mitchell

Comanche

4

Mobridge

Corsicana

28

Pierre

Crockett

Redfield

Daingerfield

Deer Park

4

16

Snpnrfish

Denison

25

Township

Wilmerding

Wilson

Sturgis

Denver City

Dimmitt .

7

2

Watertown

Donna . -

5

Windber

Webster

Dublin

3

Winton

Winner

Dumas

12

Wyoming

TENNESSEE

Alcoa

Duncan ville

Eagle Pass

6

Wyomissing

Yeadon

12

Eastland ... . .

5

Edinburg.. ..

16

Zelienople

Bristol

Elsa

1

Brownsville

Ennis

14

RHODE ISLAND

Clarksville

3

Fort Stockton

Freeport . -

9

Clinton

15

Burrillville

Columbia

Galena Park

Gilmer

12

Central Falls

Cookeville

6

11

Etowah . .

4

Fayetteville

Gallatin

Greenville. -

24

Johnston

Henderson. _ ..

16

Henrietta

4

Narragansett

North Kingstown...
North Providence

Jefferson City

La wrenceburg

Lebanon

Highland Park

Huntsville

23
9

Hurst

15

2

Portsmouth

McKenzie

Milan

Iowa Park

5

Smithfield

Kermit .. .

15

South Kingstown- -
Westerly

Kerrville

10

Mount Pleasant

Murfreesboro

Norris

Lake Jackson

Lamesa . .

5

22

SOUTH CAROLINA

Lewisville

5

33

Abbeville

Ripley .

Mathis

4

3

Mercedes... ..

7

Beaufort

Shelbyville

Mexia

8

Signal Mountain

Smyrna

Springfield

Sweetwater

5

Camden

Mission

15

Chester

14

Mount Pleasant

9

Darlington

Kaslev

Trenton

Union City

TEXAS

Alpine

5

Nacogdoches

17

Fort Mill

Nederland

6

Gaflfney

Georgetown

New Braunfels

Olnev

16

5

Greenwood

Palacios

3

Greer

Aransas Pass

Atlanta

Palestine

16

Hartsville

Paris

28

Honea Path

Ballinger

Pear Ridge

3

Lake City

Bellmead

3

Laurens... .._

Bonham

Pecos

12

152

Table 48. — Number of Full-tinie Police Depart men t Employees, December 31,
1963, Cities With Population Under 25,000— Continued

City by state

Number of

police de-

' part men t

employees

City by state

Number of
police de-
partment

employees

City by state

Number of
police <lc-
partment

employees

TEXAS— Continued
Plain view

31

8
10

()

4
15

6

3
11

9
18
10

9
19

1
10

7
13
20
18
14

2
13

13
3
4

6
10
15
4
5
6
6
1
15
2
5
5
7
4
5
6
3

11
6

5

16
4

7

I

2
9

2
26
10
9
6
6

10
6

14
5

26

VIRGINIA-Con.
Buena Vista

13

4

3

6

13

16

14

25

14

22

25

14

5

8

13

37

10

2

17

17

9

18

3

15

35

29

8

8

26

12

29

9

27
8
24
22
3
4
9
17
10
7
5
4
4
5
3

18
14
11
11
1
4
5
15
16
20
15
12
28
3
13
5

13
18
13
11
6
1
24
19
5

WASHINGTON-
Continued

Port Townsend

Pullman

Piano

4
13

Raymond ville

Chincoteague

Christlansburg

Colonial Heights

Covington

Refugio

T*li vnlliin

19
6

37
3

1 1

Richmond

Robstown

Renl on

Rockdale

Franklin

Rotan

Fredericksburg

P'ront Royal

H arrison bur g

Hopewell

Shelton

San Benito

4

6
10
9

Slaton

Snyder--

Sunn v^viiflp

South Houston

Lexington

Stephen ville

Lurav. ..

Washougal

4

Sweetwater

32

Taft

WEST VIRGINIA

Benwood

Taylor ...

Martinsville

Tulia

Uvalde

Poquoson .. .

g

Vernon . ._

Pulaski

Rluefield

25

Waxahachie

Radford

3

Weatherford

Buckhannon

(""hpcnnpalrp

Wellington

Salem

3

Weslaco

Saltville . .

Elkins

<^

West University

South Boston

Follansbee

4

Place

8

Winters

SufTolk

Ffintnn

g

Yoakum

9

Warrenton

TCimrwond

2

UTAH

American Fork .

Waynesboro

Williamsburg

Winchester

Martinsburg

Montgomery

Morgantown

PipHmnnt

18

6

20

Bountiful --

Wytheville

2

Brigham City

Helper -

WASHINGTON

Ravenswood

Richwnnd

8
5

Lehi

4

Midvale .

3

Moab__

Anacortes . .-.

Vienna

4

North Ogden . ._

White Sulphur

Orem

Belle vue

2

Park City

Williamstown

WISCONSIN

3

Pleasant Grove .

Roy

Centralia

St. George. .

Chehalis -

4

South Ogden . ..

Clarkston .. .

Antigo

12

Springville

Cle Elum

A-Shland

13

Colfax

8

Tooele

College Place

Colville

Beaver Dam

Berlin

19

Vernal

8

Des Moines

Black River Falls...

4

VERMONT

3

4

Bellows Falls

Enumclaw

Brookfield

24

13

Essex Junction

Fircrest

Cedarburg

7

Hartford

Chilton ...

9

Manchester

Grand view

Chippewa Falls

Clintonville

21

Manchester Center

8

Kelso----

Kennewick

4

M^ontpelier

Cudahv

26

Kent

De Pere

11

Randolph

Kirkland

Dodgeville

3

Elkhorn

5

St Albans

Lvnden

Elm Grove

8

Evansville. .

5

Windsor

Fox Point ... ...

20

Winooski

Mercer Island

Glendale

23

Grafton ......

6

VIRGINIA

Mountlake Terrace.

Mount Vernon

Oak Harbor

Orting

11

Abingdon

Hales Corners

Hartford...

8
8

AltaVista

Horicon

4

Bedford

Hudson... .

5

Big Stone Gap

Bristol

Port Angeles

Port Orchard

Hurlev

4

Jefferson

6

153

Table 48. — Number of Full-time Police Department Employees, Decem,her 31,
1963, Cities With Population Under 25,000 — Continued

City by state

Number of
police de-
partment

employees

City by state

Number of
police de-
partment

employees

City by state

Number of
police de-
partment

employees

WISCONSIN- Con.

TTaiitfliina

13
3
3
4
4

11
5
4

17
23
4
3
28
18
14
11
15
5

10
15
3?
5
5
21
11
2

WISCONSIN-Con.

Peshtigo

4

10
6
9
6
9
14
11
8
8
6
3
4

10
5

27
24
10
5
25
10
9
8
20
4
3

WISCONSIN— Con.

Watertown

Waupaca

Waupun

West Bend

19

Kewaunee

Platteville

Plymouth

Port Washington

Prairie du Chien.-.

Reedsburg

Rhinelander

Rice Lake

8

Kiel

8

Kimberly

Ladysmith

Lake Geneva

Lake Mills

16

West Milwaukee...

Whitefish Bay

Whitewater

Wisconsin Rapids..

WYOMING

Buffalo

24
27
9

Little Chute

30

IVIarinette

Richland Center

Ripon

Marshfield

JVIavville

River Falls

Medford

Rothschild

4

Schofield

Cody

11

Evanston.

5

Menomonie

Sheboygan Falls

Shorewood

South Milwaukee--.

Gillette

10

Green River

Lander

Laramie

Powell

5

Merrill

Middleton

11
21

M[onona

Spooner

9

Monroe

Stevens Point

Stoughton -

Rawlins

Rock Springs

Sheridan

Thermopolis

Torrington

Guam: Agana

11

17

Nekoosa

Sturgeon Bay

Tomah .. .. _ .

16

9

Oak Creek

Two Rivers

11

Onalaska

Waterford

133

154

Table 49. — Number of Offenses Known to the Police, 1963, Cities and Totins
25,000 and Over in Population

City

Cities over 250,000 in
population

Akron, Ohio

Atlanta, Ga

Baltimore, Md

Birmingham, Ala-
Boston, Mass

Buffalo, N.Y. 1...

Chicago, 111

Cincinnati, Ohio.
Cleveland, Ohio..
Columbus, Ohio.

Dallas, Tex

Dayton, Ohio..
Denver, Colo_-
Detroit, Mich..
El Paso, Tex_..

Fort Worth, Tex..
Honolulu, Hawaii-
Houston, Tex

Indianapolis, Ind.-
Jersey City, N.J..

Kansas City, Mo..
Long Beach, Calif-
Los Angeles, Calif-
Louisville, Ky

Memphis, Tenn.i.

Miami, Fla

Milwaukee, Wis

Minneapolis, Minn.
Nashville, Tenn.i...
Newark, N.J

New Orleans, La

New York, N.Y

Norfolk, Va

Oakland, Calif

Oklahoma City, Okla.

Omaha, Nebr

Philadelphia, Pa-
Phoenix, Ariz

Pittsburgh, Pa-..
Portland, Oreg...

Rochester, N.Y...

St. Louis, Mo

St. Paul, Mmn„..
San Antonio, Tex.
San Diego, Calif..

San Francisco, Calif.

San Jose, Calif

Seattle, Wash

Tampa, Fla

Toledo, Ohio

Tucson, Ariz

Tulsa, Okla

Washington, D.C.
Wichita, Kans

Index
total

5, 497

12, 899
16, 988

6,978
16, 123

9,305

115,117

5,933

10, 584

9, 37!)

11,053
4,270
16, 351

40, 727
4,165

7,012
6,545
24, 147
11,716
3,171

13, 708
9,513

97, 698
9,375

8,781

10, 750
8, 796

11,247
9,343

20, 053

14, 984
159, 099
5,230
8,699
8,046

3,721

29, 427

14, 620
14, 725

8,462

3,665
24.809

6,361
12, 785

8,385

21, 955

4, 198
11,206
7, 527
5,178

4,823
4,958
18, 329
3,058

Criminal
homicide

Murder
and
non-
negli-
gent
man-
slaugh-
ter

11

87
142
49
44

24

364

33

94
17

113
16

57

125

10

50
7
101
40
13

60

13

200

37

24
10
45
51

61

548

33

22
22

17
125
41
23
14

12

100

9

44

15

42

5

21

Man-
slaugh-
ter by
negli-
gence

Forci-
ble
rape

78
27
20

3

229
35.
21

26

81
13
12
33

8

3
11
41
21

1

39

12

164

28
20

18
21
21
37

45

16
90
122
32

85

26
1,134
96
56
65

58

41

163

393

22

37

12

264

91

25

197
96

952
33

54

48
41
22
20
201

45
823
17
73
61

32

460
112

75

28
249
31
70
56

120
19
66
16
34

19
25
87
16

Rob-
bery

307

563

1,257

196

745

291

17, 042

291

1, 504

456

488

243

1,013

4,608

97

332

58

1,115

864
142

1,164
611

6,325
565
235

957
235
723
346
1,493

948
6,823
219
596
489

157
2,429

516
1,011

384

77

2,098

333

303

299

1,554
125
502
373

144

161

1,707

95

Aggra-
vated
assault

85

839

1,893

955

780

311

9,915

661

548

921
309
493
4,496
251

290

68

2,515

392

168

935
379
8,655
362
661

1,003
422

282

210

2,107

778
13, 025
680
377
630

36

4,172

667

540

233

82

2,104

172

896

310

1,569

60

269

518

230

286

158

2,851

265

Bur-
glary
break-
ing or
enter-
ing

2, 056
4, 082
4, 833
2,873
4,050

4, 166
32, 931

2, 358

3, 683
4,389

5, 151
2,161
6,895
16, 963
2,220

3,719
3,334
12, 602
5, 035
1,027

5,600
4,179
41,011
3,798
3,902

5,433
2,233
5,082
4,577
7,602

5,535
42, 775
2,171
4,129
4,336

1,384
12, 189
6,352
4,996
3,237

1,851
11,865
2,574
6, 270
3,009

8.461
2,130
5,228
4,177
2,041

1,943
1,910
6,984
1,234

Larceny-
theft

$50
and
over

1,406
3,821
4, 948
1,951
2,498

2,172
23, 565

1, 469
1,331
2,458

1,219

733

3, 587

5,724
683

1,279
1,765
4,127

2, 384
141

2,841
2,260
23, 700
3,135
2,818

2,081
3,353
2,954
1,972
4,303

2,967

67, 931

1,348

1,782

564

933
4,449
4,020

3, 359
3,032

904
3,407
1,961
3,536
3,447

3,087
769
3,147
1,630
1,841

1.095

1.718

3,140

837

Under
$50

5, 338
8, 306

7, 329
4,096
4,463

3,793
53, 331

5,914
13, 233

5,941

13, 900
4, 856

8, 577
34, 086

4,665

7,330
5,078
11,923
9,178
347

10, 324
4, 255

35, 755
5,138
5,354

6,579
9,351
7,749
2,907
5,788

5,821
37,411
4,204
6,884

5,010
15, 388
9, 206
4,452
6,878

3,867
23, 916
6,384
8.888
7,436

9,007
10, 130
5,157
6,814

6,201
4,216
7,255
4,138

See footnote at end of table.

155

732-688'

-6-4-

-12

Table 49. — Number of Offenses Known to the Police, 1963, 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.

Alexandria, Va

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_ . _

Columbia, S.C

Columbus, Ga

Corpus Christi, Tex...

Dearborn, Mich

Des Moines, Iowa

Duluth, Minn

Elizabeth, N.J

Erie, Pa

Evansville, Ind

Flint, Mich

Fort Lauderdale, Fla..

Fort Wayne, Ind

Fresno, Calif

Garden Grove, Calif-
Gary, Ind

Glendale, Calif

Grand Rapids, Mich_.
Greensboro, N.C

Hammond, Ind

Hampton, Va

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 Haven, Conn

Newport News, Va

Niagara Falls, N.Y....

Pasadena, Calif...

Paterson, N.J

Index
total

1,672
5,140
1,627
784
2,479

3,088
2,725
3,082
2,773
1,431

2,019
2,372
2.292
3,036
1,303

4,153

2,786
2, 127
1,850
4,321

1,669
2.459
1,109
2, 221
1,098

2,715
5,167
2, 653
2,611
3,572

1,938
4,839
2,049
2,319
1,963

1,713
1,411

2,856
1,433
5,538

2, 145
2,207
1, 352

1, 007

2, 348

2.678
2, 147
1,130

3, 594

2, 036
1. 633

1. 467

2. 682

2,727

Criminal

Larceny-

homicide

Bur-

theft

Murder

Forci-

Aggra-

glary—

and

Man-

ble

Rob-

vated

break-

non-

slaugh-

rape

bery

assault

mg or

$50

Under

negli-

ter by

enter-

and

$50

gent

negli-

ing

over

man-

gence

slaugh-

ter

1

1

7

33

55

716

278

702

10

6

27

134

178

2, 575

1,145

4,777

6

3

10

98

275

615

482

1,765

5

20

6

342

276

903

19

10

14

50

172

1,063

841

2,346

2

4

27

62

77

1,494

1,068

2,323

7

4

26

69

121

941

1,175

2,589

9

1

18

71

292

1,519

843

3,810

7

2

20

95

207

1,172

939

2,957

11

7

8

38

114

774

295

1,801

6

3

19

128

63

1,070

439

3,015

6

4

5

25

69

1,016

583

1.301

3

2

43

33

615

576

513

8

3

45

189

198

1,145

626

1,261

5

2

9

70

35

517

426

1,373

25

21

146

504

1,931

1,076

2,559

24

12

11

114

99

1,855

354

1,198

8

7

16

47

132

919

691

2,206

15

5

2

47

36

721

389

1,128

14

10

83

441

2.028

1,408

3,040

1

6

6

52

18

561

655

3,104

7

7

20

81

36

1, 024

863

2,509

1

1

8

14

507

393

1,730

7

12

12

130

151

1,028

459

1,934

2

4

2

44

39

436

215

1,264

5

2

18

80

92

1,377

861

2, 202

12

7

32

269

891

1,653

1,564

3, 325

5

8

7

81

196

1,126

897

2,581

5

3

15

112

37

923

1,009

3,541

10

3

157

126

1,478

1,143

2,972

3

2

26

41

47

963

641

1,585

14

10

27

400

547

1,470

1,204

2.473

2

3

1

38

33

805

777

1,901

5

4

13

90

37

1,085

718

1, 724

9

13

17

21

626

547

502

1,757

7

8

8

83

71

552

655

1,257

4

3

13

36

112

636

397

929

8

4

7

98

189

1,353

624

1.865

20

6

2

9

213

763

276

1,664

28

1

11

511

564

2,336

1,590

3,774

10

15

13

237

115

1,072

185

1,849

11

21

14

41

148

1,106

431

1.462

4

8

10

26

33

478

560

2,174

2

1

13

13

50

396

414

1,927

14

17

14

87

55

1,022

844

2,321

11

11

32

42

213

1,237

863

2.073

18

4

14

75

29

1,121

568

1. 630

2

7

22

2

364

531

2.105

21

14

8

141

215

1,972

700

1,876

Incomplete

9

7

25

72

844

399

1,724

14

29

56

118

737

429

1.696

3

3

23

58

586

595

1.128

11

17

84

153

1.322

804

2.528

10

225

182

1.334

253

1,207

156

Table 49.— Number of Offenses Known to the Police, 1963, Cities and Towns
25,000 and Over in Population — Continued

City

Cities 100,000 to 250,000
ill population — Con.

Portsmouth, Va.
Providence, R.I.
Raleigh, N.C....
Richinond, Va.-.
Roanoke, Va

Rockford, 111

Sacramento, Calif

St. Petersburg, Fla..-
Salt Lake City, Utah.
Santa Ana, Calif

Savannah, Ga..

Scranton, Pa

Shrevcport, La L.
South Bend, Ind.
Spokane, Wash..

Springfield, Mass.

Syracuse, N.Y

Tacoma, Wash

Topeka, Kans

Torrance, Calif....

Trenton, N.J

Utica, N.Y

Virginia Beach, Va_

Waco, Tex

Warren, Mich

Waterbury, Conn

Wichita Falls, Tex...
Wmston- Salem, N.C.

Worcester, Mass

Yonkers, N.Y

YoungstowTi, Ohio.

Cities 50,000 to 100,000
in population

Abilene, Tex

Abington Township,
Pa

Alameda, Cahf

Albany, Ga

Alhambra, Calif

Altoona, Pa

Amherst, N.Y

Anchorage, Alaska.
Ann Arbor, Mich..
Arlington, Mass....

Arlington, Tex

Asheville, N.C

Atlantic City, N.J.

Augusta, Ga

Aurora, Colo

Aurora, 111 678 2

Bakersfield, Cahf 1,332 3

Bay City, Mich 521 1

Bayoime, N.J 592 3

Berwyn, 111 455 1

See footnote at end of table

Index
total

2,138
4,541
1,911

5,254
1,458

1,238
6,302
3,153

4, 799
2, 289

2.928
1,087
2,784
1,733
1,506

1,837
3,365
2,071
1,260
2,709

2,799
743
1,067
1,814
1,831

1,608
1,221
1,822
1,936
2,453

2,171

1,145

322
496
616

847

345

503

928

1,149

679
951
2,733
907
687

Criminal
homicide

Murdei
and
non-
negli-
gent
man-
slaugh-
ter

Man-
slaugh-
ter by
negli-
gence

Forci-
ble
rape

Rob-
bery

Aggra-
vated
assault

86
70
39
205
38

142
153

68

198
15
78
64
31

20
109
68
64
81

164

2

22

105

37

17

35
46
14
6
22

267
217
382
476
153

53
155

77
134
120

260
8

455
55
33

17
124
46
37
71

119
14
54

157
62

11

92

388

31

77

25

64

72

215

Bur-
glary -
break-
ing or
enter-
ing

918
1, 908

676
2,240

732

605
2,511
1,894
2,021
1, 315

1,387

629

1. 022

772
648

1,400
948
685

1,384

1,183
349
451

1,100

615
612
830
973
1,127

1,010

497

147
211
320
394

218
246
302
281
183

257
289
1,382
297
349

282
520
213
152
170

Larceny-
theft

$50
and
over

518
912
499
1,182
336

319
1,859

732
1,749

390

670
102
671
514
402

335

1,106

552

347

785

494
202
398
328
623

279
349
499

463

124
115
43

30
158
299
677

43

694
147

205

217
450
119
172

120

Under
$50

1. 505

2, 513
1. 256
4, 485
1,185

1.443
5,161
3,464
4, 724
2,166

1,336
653
2,396
2, 523
3,227

1,111

2,980
2,707
2,150
1,662

749

886

856

1,768

1,744

561
1,785
1,390
1.257
1,876

1,706

267
755
166
601

243
791

760
755
320
702

715

2,079

1, 153

262

192

157

Table 49. — Number of Offenses Known to the Police, 1963, Cities and Towns
25,000 and Over in Population — Continued

City

Cities 50,000 to 100,000
in population— Con.

Bethlehem, Pa

Billings, Mont

Binghamton, N.Y

Bloomfield, N.J

Bloomington, Minn

Bristol Township, Pa_.

Brockton, Mass

Brookline, Mass

Brownsville, Tex

Buena Park, Cahf

Burbank, Calif

Cedar Rapids, Iowa

Charleston, S.C

Charleston, W. Va

Cheektowaga, N.Y

Chesapeake, Va

Chicopee, Mass

Cicero, 111

Cleveland Heights,

Ohio

Clifton, N.J

Colonic Town, N.Y....
Colorado Springs, Colo.

Compton, Calif

Concord, Cahf

Costa Mesa, Calif

Council Bluffs, Iowa.__

Covington, Ky

Cranston, R.I

Cuyahoga Falls, Ohio..
Daly City, Calif

Davenport, Iowa

Dearborn Heights,

Mich

Decatur, 111

Downey, Calif

Dubuque, Iowa

Durham, N.C

East Chicago, Ind

East Orange, N.J

East St. Louis, 111

Elgin, 111

EucUd,Ohio

Eugene, Oreg

Evanston, 111

Everett, Wash

Fairfield, Corm

Fall River, Mass

Fayetteville, N.C

Fort Smith, Ark

Fremont, Calif

Fullerton, Calif

Criminal

Larceny-

homicide

Bur-

theft

Murder

Forci-

Aggra-

glary—

Index

and

Man-

ble

Rob-

vated

break-

total

non-

slaugh-

rape

bery

assault

ing or

$50

Under

negli-

ter by

enter-

and

$50

gent

negli-

ing

over

man-

gence

slaugh-

ter

658

2

2

13

9

302

184

713

909

1

1

19

2

430

302

1,517

486

1

i

3

6

231

115

724

319

10

3

99

128

285

335

1

1

6

1

99

170

386

537

1

8

6

19

287

128

317

1,055

i

7

15

18

405

382

589

969

i

4

2

9

6

505

163

748

852

2

1

13

12

68

508

147

975

751

2

3

4

23

35

359

185

671

1,617

2

2

4

49

29

583

685

1,456

629

1

1

4

3

10

241

268

1,309

2,722

5

4

11

117

116

1,178

1,012

2,002

1,297

4

6

3

59

152

443

411

1,036

471

3

1

8

5

220

158

542

1,041

6

17

35

36

187

417

247

472

346
929

5
56

60"

105
261

140
184

134
396

3

3

271
493

3
12

4
5

153

295

62
97

255
549

2

2

382
855

5
37

4

18

212
406

105
212

332
1,261

1

6

4

3,865

7

5

21

242

281

1,536

915

1,825

898

1

2

18

8

476

248

1,155

1,370

1

8

13

36

730

421

849

893

4

4

3

15

4

405

291

746

1,162

1

2

1

34

7

592

291

746

907
334

4
1

5
4

11
2

436
110

349
157

604
428

754

2

1

1

13

14

231

217

480

1, 155

1

2

4

35

4

637

168

1,791

608

2

12

9

36

19

259

161

1,058

963
1,844

1
12

21

57

14

85

518
732

292
702

1,362
1,042

1

311
1,429

1
13

5
35

1
376

103
574

145
204

566
907

7

16

1,189

6

3

15

58

138

315

345

638

1,296

3

2

6

27

50

531

462

764

1,844

14

12

25

290

91

682

258

407

337

2

1

10

13

117

129

419

177

2

4

75

40

593

1,104

1

2

4

10

13

347

560

1,186

950

4

3

4

35

95

270

384

1,637

720

1

1

20

1

381

177

1,410

633

i

1

1

300

224

548

1,826

2

3

47

36

890

324

516

1, 053

6

5

40

236

451

31

980

831

3

3

1

11

47

344

281

743

1,000

2

2

9

9

33

482

337

1,358

1,013

7

17

25

413

426

1,128

158

Tahle i9.— Number of Offenses Knonn to the Police, 1963, Cities and Touns
25,000 and Over in Population — Continued

Index
total

Crin
horn

Murder
and
non-
negli-
gent
man-
slaugh-
ter

linal
cide

Forci-
ble
rape

Rob-
bery

Aggra-
vated
assault

Bur-

glary-
break-
ing or
enter-
ing

Laiceny—
theft

City

Man-
slaugh-
ter by
negli-
gence

$50
and
over

Under
$50

Auto
theft

Cities 50,000 to 100,000
in population— Con.

Gadsden, Ala

Galveston, Tex

Great Falls, Mont

Green Bay, Wis

Greenville, S.C

Greenwich, Conn

HamiltonTownship, N.J.
Hamilton, Ohio

721
1, 424
1,360

328
1,930

226

669

854

1,068

244

1,588

1,702

621

819

1,335

635
2,066

741
2,672

251

607
685
253
592
985

437

317
406
521
328

351
863

2,394
902

1,157

2,153
687
958
723
551

1,013

553

466

1,753

643

535
490
601
538
2,085

11

3

5
16

6

1
4
2

1

2

1
7
1
1

0

6
2

1

7
4
8

1

_.

2
5
4

6
3

2

1
15

9

1
12

3"
3
11

8

9

3
6
13

3
11

9
11

7
42
38

4
41

2

12
18
43

1

43

36

9

2
42

11
46
25
122

96
199
24

88'

6

6

117

24

15

32

35

4

129

18

361

22

56

297
551
610
100
1,024

107
343
241
519

91

631
727
357
297
525

473
767
350
1,160
174

253
318
123
229
376

171
180
200
303
190

170
444
659
299
500

903
354
297
446

277

286

282
269
841
174

240
166
301

277
1,027

183
427
329
122
471

74
195
352
315

121

556
636
144
196
411

53
649

999

935

58

251
174
49
111
415

107
88
182
123
46

87
225
832
122
278

753
189
397
105
56

223

199
108
371
197

96
162
163
108
700

465
754

1, 152
342

1,041

220

507

1,097

643

349

1,547

1,794

372

631

1,024

603
1,131

858
1,040

390

991
571
248
601
1,752

577
566
214
319
607

698
350

2,115
255

1,354

1,656

813

1,351

1,264

624

616

390

753

1.031

194

587
406
355
335
1,658

126
183
347

96

278

37
110
121

150

Haverford To^v^aship,
Pa

31

Hay ward, Calif

Hialeah, Fla

334

265

High Point, N.C

Holyoke, Mass

71
313

Huntmgton, W. Va

Huntington Beach,
Cahf

213
76

Huntsville, Ala

Independence, Mo

Inglewood, Calif

Irondequoit, N.Y

Irving, Tex

225

112

387

19

1

2

2

1

3

1
1

1
1

8
14
13
22
20

7

3

1

14

10

12

2

137

12

52

81
18
27
29
21

15

5
9

42
10

9
10

3
10
56

16

6

5

66

75

3
__

31

22
62
29
12
83

133
23
12
36
45

29

9
30
16

9

7
---

68

22

77

Irvington, N.J

172

Johnstown, Pa_

63

Joliet, 111

161

Kalamazoo, Mich

Kenosha, Wis

8

1
1

3

1
3

94
146

Kettering, Ohio

42
14

Lake Charles, La

3

2

1

46

82

Lancaster. Pa-

i

6
4
4

7
3
2
2
6

7
2
1

8

_-

2

1

1
4
1
1

6

2
4
3

3

6

1
3

1

2

1
2

4

1

1

2'
2
9

8
2

3
3
4

6
2

7

2
2
-.

6

59

Laredo, Tex

129

Las Vegas, Nev

Lawrence, Mass

Lawton, Okla

729
451
231

268

Lima, Ohio

98

Lincoln Park, Mich

Livonia, Mich

220
102

142

Lowell, Mass

460

Lower Merion Town-
ship, Pa

56

Lynchburg, Va

37
479

Maiden, Mass

245

Manchester, N.H

Medford, Mass

173
150

Meriden, Conn

Meridian, Miss

Miami Beach, Fla

120
70

272

159

Table 49. — Number of Offenses Known to the Police, 1963, Cities and Towns
25,000 and Over in Population— Continued

City

Cities 50,000 to 100,000
in population— Con.

Midland, Tex

Monroe, La

Mount Vernon, N.Y._
Muncie, Ind

New Bedford, Mass

New Britain, Conn..
New Rocticlle, N.Y.,

Newton, Mass

North Little Rock,

Ark

Norwalk, Conn

Oak Park, 111.
Odessa, Tex...
Ogden, Utah.-
Ontario, Calif-
Orlando, Fla..

Palo Alto, Calif.

Parma, Ohio

Pasadena, Tex. .

Passaic, N.J

Pawtucket, R.L

Penn Hills Township,
Pa

Pensacola, Fla

Peoria, 111

Pine Bluff, Ark

Pittsfield, Mass

Pomona, Calif

Pontiac, Mich

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

Quincj^, Mass

Racine, Wis...

Rapid City, S. Dak.

Reading, Pa

Redford Township,
Mich

Index
total

Redondo Beach, Calif..
Redwood City, Calif...

Reno, Nev

Richmond, Calif

Riverside, Calif

Rock Island, 111...

Rome,N.Y

Roseville, Mich...
Royal Oak, Mich.
Saginaw, Alich

St. Clair Shores, Mich.

St. Joseph, Mo

San Angelo, Tex

San Bernardino, Calif..
San Leandro, Calif

792
495

1,217
940

1,869

665

1,320

912

925

871

371

757

818

1,042

2,661

781

258

412

1,064

778

437

1.352

2,255

552

301

1,634
1,869
423
1,036
1, 128

970
901

844

721

1, 542
833

2,133

2, 352

2, 540

857
201
750
911
1,144

748

596

682

3,089

1,204

Criminal
homicide

Man-
slaugh-
ter by
negli-
gence

Forci-
ble
rape

Rob-
bery

14

48

142

8

2

49
174
8
21
30

23
26
22
15

35
19
151
175
62

44

1

24

39

48

Aggra-
vated
assault

173

25
19

87

66
19
4

85

144

16

30

18

4
35
13

37
11
32

259
107

27
1

27

7

150

25

28

17

105

Bur-

?lary^
break-
ing or
enter-
ing

152
563
434
864

299
502
445

435
321

152
395
344
419
1, 192

243

160
196
561
338

226
753
1,012
350
151

717
873
193
408
511

317
518
270
426

310

760

356

896

1, 243

1,209

215
05
329
413
462

311

286

453

1, 423

599

Larceny-
theft

$50
and
over

208
57
372
234
414

191

524
270

199
382

63

197
214
410
745

357
50

77
152

182

115
325
656
126
107

507
491
124
329
347

296
190
448
197

273

422
272
533
355
811

428
77
238
297
212

328
176
119
947
403

Under
$50

870

1,160

612

883

1,175

479
520
364

734
621

271
1,495
2,370

893
1,800

1,348
326
661
159

584

207

1,309

1,948

434

254

989
1,622

541
1,410
1,450

657
1,513

840
948

1,034

1,361
550
1,728
2.399
2,196

758

347

941

1,747

2,203

919

748

421

2,088

1,143

160

Tabic 49. — Number of Offenses Known to the Police, 1063, Cities and Towns
25,000 and Over in Population — Continued

City

Cities 50,000 to 100,000
in population — Con.

San Mateo, Calif

Santa Barbara, Calif. .

Santa Clara, Calif

Santa Monica, Calif-..
Schenectady, N.Y

Sioux City, Iowa

Sioux Falls, S. Dak__.
Skokie, 111

Somerville, Mass ..

South Gate, Calif

Springfield, 111

Springfield, Mo

Springfield, Ohio

Stamford, Conn

Stockton, Calif

Sunnvvale, Calif

Tallahassee, Fla

Terre Haute, Ind

Tonawanda Town,

N.Y

Troy, N.Y

Tuscaloosa, Ala

Tyler, Tex

Union City, N.J

Union Township, N.J.
University City, Mo-_

Upper Darby Town-
ship, Pa

Vallejo, Calif

Walt ham, Mass

Warren, Ohio

Warwick, R.I

Water ford Township,
Mich

Waterloo, Iowa

Waukegan, 111

Wauwatosa, Wis

West Allis, Wis.

West Covina, Cahf....
West Hartford, Conn .
West Palm Beach, Fla

Wevmouth, Mass

White Plains, N.Y.-..

Whittier. Calif.

Wilkes-Barre, Pa

Wilmington, Del

Woodbridge

Township, N.J

Wyoming, Mich

York, Pa

Cities 25,000 to 50,000
in population

Aberdeen, S. Dak

Alexandria, La

Aliquippa, Pa

Allen Park, Mich

Alliance, Ohio

Criminal

Larceny-

horn

icide

Bur-

theft

Murder

Forci-

Aggra-

glary

Index

and

Man-

ble

Rob-

vated

break-

total

non-

slaugh-

rape

bery

u.ssault

mgor

$50

Under

negli-

ter by

enter-

and

$50

gent

negli-

ing

over

man-

gence

slaugh-

ter

1, 364

1

2

9

34

33

557

540

1,832

1, 445

3

13

5

31

52

578

555

1,324

980

1

2

7

22

44

389

373

1,735

2,788

5

5

19

117

47

971

1.204

1, 895

548
1,034

1
3

8
17

7
13

250
433

141

415

501
1,319

1

3

689

7

4

7

7

300

226

894

931

1

4

1

21

70

206

477

563

1,279

1

3

7

34

20

432

325

893

1,507

2

3

12

69

29

628

465

677

1,048
808

2

5

52
16

32
15

420
473

291
193

936
1,472

4

3

778

1

3

6

12

80

378

177

1, 124

1,483

4

2

4

30

42

783

372

366

2,385

3

8

12

152

75

913

830

2,211

564

2

2

7

14

214

239

1,190

591

1

2

16

43

287

153

857

974

1

1

2

25

506

293

995

452

1

2

10

3

195

141

234

430

1

8

26

14

227

66

233

923

287

2
4

19
3

129
14

431
148

307

62

200
317

5

852

1

2

1

17

21

468

120

223

603

2

2

1

11

3

297

219

434

468

1

1

10

6

209

180

588

584

4

2

17

52

242

164

1.035

1,310

4

4

6

57

56

559

386

1,292

450
829

1
7

5
17

11

27

183
357

137

263

374

608

1

4

1, 255

1

4

5

10

595

502

811

805

2

3

5

8

22

301

413

679

508

5

4

19

26

176

230

840

717

2

2

28

71

259

218

757

302
355

1,347

5
6

34

29

83
104

656

166
177

461

494
871

880

1

3

259

1

2

148

77

173

1,237

4

4

3

45

41

758

230

1, 523

169

1

1

4

5

64

70

77

976
958

26
30

70
36

259
423

466
316

468
591

1

1

3

468

1

0

13

20

192

105

264

2,276

6

8

4

110

28

1,113

504

1,901

650

6

2

15

2

276

251

451

333

1

2

135

142

528

719

1

1

3

66

38

338

129

684

117
541

60
322

49

87

198
440

6

4

1

21

5

228
386

5
13

18
9

79
110

63
172

226
739

1

1

239

3

5

2

120

69

416

161

Table 49. — Number of Offenses Knoicn to the Police, J963, Cities and Towns
25,000 and Over in Population — Continued

City

Cities 25,000 to 50,000
in population— Con.

Alton, 111

Ames, Iowa

Amsterdam, N.Y

Anderson, Ind

Anniston, Ala

Appleton, Wis

Arcadia, Calif

Arlington Heights, IlL

Arvada, Colo

Ashland, Ky

Ashtabula, Ohio

Athens, Ga

Attleboro, Mass

Auburn, Maine

Auburn, N.Y

Austin, Minn

Baldwin Borough, Pa.
Baldwin Park, Calif..-

Bangor, Maine

Barberton, Ohio

Bartlesville, Okla

Battle Creek, Mich...

Baytown, Tex

Belleville, 111

Belleville, N.J

Bellingham, Wash.

Belmont, Mass

Beloit, Wis

Bensalem Township,

Pa

Bergenfield, N.J

Bessemer, Ala

Bethel Park, Pa

Beverly, Mass

Beverly Hills, Cahf....
Big Spring, Tex

Biloxi, Miss

Birmingham, Mich

Bismarck, N. Dak

Bloomington, 111

Bloomington, Ind

Blytheville, Ark

Boise, Idaho

Bossier City, La

Boulder, Colo

Bowling Green, Ky

Brain tree. Mass

Bremerton, Wash

Bristol, Conn

Brooklyn Center, Minn
Bryan, Tex

Burlingame, Calif

Burlington, Iowa

Burlington, N.C

Burlington, Vt

Butte, Mont

Index
total

391
182
53

551

204
835
186
164
251

434

784
192
106
141

172
102
854
192
535

131
536

259
210

229
153
221

213

70

508
102
330
587
375

425
170
148
573
410

293

467
498

352
303
273
143

289

445
103
410
318
570

Criminal

Larceny —

homicide

Bur-

theft

Murder

Forci-

Aggra-

glary—

and

Man-

ble

Rob-

vated

break-

non-

slaugh-

rape

bery

assault

ing or

$50

Under

negli-

ter by

enter-

and

$50

gent

negli-

ing

over

man-

gence

slaugh-

ter

2

4

4

14

225

93

649

1

1

75

86

273

3

1

15

24

77

12

Incomplete
14 142

30

Incomplete
3
5

65

25

200

145

324

76

81

840

387

334

740

54

90

354

84

70

147

162

45

238

200

150

491

331

209

330

89

67

156

59

35

114

69

52

192

78

72

547

38

35

71

436

190

544

103

26

305

285

112

420

67

47

226

286

167

859

101

133

308

101

61

93

71

108

500

75

54

106

83

67

287

106

56

138

23

23

34

199

110

286

62

19

61

121

112

410

259

227

201

177

59

340

150

88

129

78

60

508

53

72

536

201

22'^

565

194

118

539

198

114

379

225

376

1,256

119

101

149

81

332

655

206

151

271

103

179

214

138

85

614

137

67

212

64

66

310

159

67

123

215

159

341

46

25

346

124

163

486

136

44

428

134

147

323

16-2

Table 49.— iVumbcr of Offenses Knonn to the Police, 1963, Chics and Toivns
25,000 and Over in Population — Continued

City

Cities 25,000 to 50,000
in jjopulutioii—Con.

Calumet City, lU

Cape Girardeau, Mo_-

Carlsbad, N. Mex

Casper, Wyo

Champaign, 111

Charlottesville, Va

Chelsea, Mass

Cheltenham Township,

Pa

Cherry Hill Township,

NJ

Cheyeime, Wyo

Chicago Heights, 111 —

Chillicothe, Ohio

Chula Vista, CaUf

Clarksburg, W. Va

Clarkstown, N.Y

Clearwater, Fla..

Clinton, Iowa

Columbia, Mo...
Columbus, Miss-
Concord, N.H...

Coral Gables, Fla....

Corvallis, Oreg

Cranford Township,

NJ

Crystal, Minn

Culver City, Calif—

Cumberland, Md

Danbury, Conn

Danville, 111

Danville, Va

Daytona Beach, Fla..

Decatur, Ala

Dedham, Mass

Denton, Tex

Des Plaines, 111

Dothan, Ala

East Cleveland, Ohio-
East Detroit, Mich— .
East Hartford, Conn-
East Lansing, Mich—
Easton, Pa

East Point, Ga

East Providence, R.I

Eau Claire, Wis

Edina, Minn

Edison, N.J

El Cajon, Calif-
El Cerrito, Calif.
El Dorado, Ark-.

Elkhart, Ind

Elmhurst, 111

Lareeny—
theft

$r)()
and

Under
$50

over

111

88
160
218
150

267
325
503
743
867

93

347

Auto
theft

119

330
144

236
23

171
34

128

200
99
83
83

384
45

38

27

345

52

34

221

128

408

44

82

147

133

67

76

193

164

58

54

101
167
48
91
201

218
120
55
118
113

498

72
36
62
121
lOiJ

25

70

392

186

1,042

94

432

158

117

10

777

72

42

26

354

44

705

91

395

69

493

43

211

20

60

22

616

113

594

16

86

15

110

43

419

136

206

64

91

41

628

43

494

41

1,172

149

261

17

148

61

458

36

363

46

230

32

419

86

723

125

341

50

108

12

315

63

201

44

487

78

371

23

415

36

300

149

532

55

439

38

166

10

240

49

410

44

163

Table 49. — Number of Offenses Known to the Police, 1963, Cities and Towns
25,000 and Over in Population — Continued

City

Cities 25,000 to 50,000
in population — Con.

Ehiiira, N.Y

El Monte, Calif

Elyria, Ohio

Enfield, Conn

Englewood, Colo

Englowood, NJ

Enid, Okla

Eureka, Calif

Everett, Mass

Evergreen Park, 111

Ewing Township, N.J.

Fair Lawn, N.J

Fairmont, W. Va

Falls Township, Pa —
Fargo, N. Dak

Farminston, N. Mex—

Ferndale, Mich

Findlay, Oliio

Fitchhurg, Mass

FlagstatT, Ariz

Florence, Ala

Florence, S.C

FlorissaTit, Mo

Fond du Lac, Wis

Fort Collins, Colo

Fort Dodge, Iowa

Fort Myers, Fla

Fort Pierce, Fla... -.._
Framingham, Mass...
Freeport, 111

Freeport,N.Y- —

Gainesville, Fla

Galesburg, 111

Gardena, Calif

Garden City, Mich...

Garden City, N.Y

Garfield, N.J

Garfield Heights, Ohio

Garland, Tex

Gastonia, N.C

Glen Cove, N.Y

Glendale, Ariz

Gloucester, Mass

Goldsboro,N.C

Grand Forks, N. Dak.

Grand Island, Nebr— .

Grand Prairie, Tex

Granite City, 111

Greeley, Colo...

Greenburgh, N.Y

Greenville, Miss

Greenville, N.C.

(lUlfport, Miss

1 1 ackensaek , N . J

llagerstown, Md

Index
total

339
1,259
211
170
360

273

281
380
460
264

514
219
68
134
334

431
514
261
584
264

152
332
215
168
300

357
216

438
111

688

214

1,376

223

308
127
159

575

181
413
196
521
468

296
532
449
374

542

354
304
296
445
540

Criminal
homicide

Murder
and
non-
negli-
gent
man-
slaugh-
ter

Man-
slaugh-
ter by
negli-
gence

Forci-
ble
rape

Rob-
bery

Aggra-
vated
assault

10

1

4 10

Incomplete

Incomplete
11 186

Bur-
glary—
break-
ing or
enter-
ing

149
640
118
64
138

162
108

97
223

59

262
82
32
64

118

148
199
151
270
103

113
160

75
77

78

171
107

167
31

221
387
100
471
91

99
59
91

Larceny-
theft

$50
and
over

154

233

49

81

140

45
84
181

149
123
18
39
140

190
192
66
151

18
94

101
53

146

106
30

172
53

85
136

89
539

170
42
29

Under

$50

428
877
156
176
485

70
551
572
172
268

290
265
40
220
594

338
508
395
380
314

175
496
441
320

742

326
455

408
130

188

1,026

291

557

205
120
247

145

153

488

117

25

35

219

120

347

88

35

80

248

115

393

155

172

698

147

118

388

288

154

499

332

42

609

137

173

679

189

284

402

179

102

384

128

54

233

130

102

241

188

134

281

338

96

648

164

Table 49. — Number of Offenses Known to the Police, 1963, Cities and Towns
25,000 and Over in Population — Conliniicd

City

Cities 25,000 to 60,000
in population— Con.

Haltom City, Tex.__.

Hamdcn, Conn

Hamtramck, Mich

Harlingen, Tex

Harvey, 111

Hattiesburg, Miss

Haverhill, Mass

Hawthorne, Calif

Hazel Park, Mich

Hazleton, Pa

Hempstead, N.Y

Plighland Park, Ill___.
Highland Park, Mich.

Hiio, Hawaii

Hobbs, N. Mex

Hoboken, N.J

Hollywood, Fla

Hot Springs, Ark

Houma, La

Huntington Park,
Calif

Hutchinson, Kans

Idaho Falls, Idaho

Inkster, Mich..

Iowa City, Iowa

Ithaca, N.Y

Jackson, Mich

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

Killeen, Tex

Kingsport, Tenn

Kingston, N.Y

Kingsville, Tex

Kinston, N.C

Kirkwood, Mo

Kokonio, Ind

Lackawanna, N.Y

La Crosse, Wis

Lafayette, Ind

La Habra, Calif

Lakeland, Fla

La Mesa, Calif

Lancaster, Ohio

Index
total

217
316
1, 109
462
409

197

590

1,206

105

766
233
1,417
117
495

639
1,119

563
274

1,256

271

515

274
192

157
275
142

242
279
270

359
298
332
241

318
178
486
440
338

625
479
482
367
244

Criminal

Larceny—

homicide

Bur-

theft

Murder

Forci-

Aggra-

glary -

and

Man-

ble

Rob-

vated

break-

non-

slaugh-

rai)e

bery

assault

mg or

$50

Under

negli-

ter by

enter-

and

■WO

gent

negli-

ing

over

man-

gence

slaugh-

ter

1

1

10

30

67

42

175

3

4

6

141

116

315

1

2

12

104

46

333

369

599

2

1

1

34

284

116

439

1

20

8

4

1
7

96

99
307
585

152

68
140
377

416

268
228
643

1

1

5
53

2

2

Incomplete
1 1

24

3

116

23

Incomplete

1

20

28
3

12

103

3

26
32
11
11
1

15
4
1

50
3

14

7
18

7

1

56

34

88

281

228

210

78

114

195

504

455

1,324

59

40

254

258

152

385

279

71

104

634

278

943

255

194

258

105

98

233

559

310

823

162

44

554

209

253

1,024

83

140

252

74

65

168

255

205

622

228

127

384

94

24

36

122

99

469

62

60

228

181

138

402

274

148

555

110

66

321

95

48

223

106

75

124

158

109

90

141

84

170

161

107

416

84

88

237

58

32

255

147

100

315

59

94

188

167

201

772

199

82

210

136

102

752

309

208

688

232

188

370

173

211

701

216

114

471

97

92

369

166

Table 49.

•Number of Offenses Knoiin to the Police, 1963, Cities and Towns
25,000 and Over in Population — Continued

City

Index
total

Cities 25,000 to 50,000
in population— Con.

Las Cruces, N. Mex

Laurel, Miss

595
356

Lawrence, Kans

Lebanon, Pa _

449
186

Leominster, Mass

Lewiston, Maine

Lexington, Mass

Linden, N.J

236

243
214

438

Lockport, N.Y

Lodi, Calif

217
224

Lodi, N.J

309

Lombard, 111

100

Long Beach, N.Y

Long Branch, N.J

Longview, Tex..

509
195
486

Lynwood, Calif

Madison Heights,
Mich....

1,070
450

Manchester Town-
ship, Conn

368

Manhattan Beach,
Calif

877

Manitowoc, Wis

Mansfield, Ohio

Maple Heights, Ohio...
Marietta, Ga

123

745
172
655

Marion, Ind

293

Marion, Ohio

415

Mason City, Iowa

Massillon, Ohio

Maywood, 111 . _

216

295
409

McAllen, Tex

113

McKeesport, Pa

Medford, Oreg

613
511

Melrose, Mass

196

Menlo Park, Calif

Mentor, Ohio

Mesa, Ariz.

197
206
801

Mesquite, Tex

293

Methuen, Mass

Michigan City, Ind

Middletown, Conn

Middletown, Ohio

Middletown Town-
ship, N.J

454
372
245
841

247

Middletown Town-
ship, Pa

181

Midland, Mich

Midwest City, Okla....
Milford Town, Conn...

Millcreek Township,
Pa

185
476
438

185

Milton, Mass

179

Minnetonka, Minn

Minot, N. Dak

Mishawaka, Ind

106
263
402

Criminal
homicide

Murder
and
non-
negli-
gent
man
slaugh
ter

Man-
slaugh-
ter by
negli-
gence

Forci-
ble
rape

Rob-
bery

Aggra-
vated
assault

Bur-
glary—
break-
ing or
enter-
ing

264
209
143
107
114

87
119
167
106

126
46
129

85

282

527
214
206

529

55

104

287
83
165

105
117
163

79
250

220
110
65
90
252

138
298
103
90
440

66
237
138

105
87
56
53

160

Larceny-
theft

$50
and
over

249
95

219
50
51

104
58

124
74
93

107
37

261
47

114

270
145
112

234

54

31

166
147
193

75
123
111

16
133

207
58
68
90

411

68
190
102
206

112

84
178
195

50
36
40
108
177

Under

$50

611

281

282

477
183
404
138
414

127
85

384
24

183

378

301

287
496

691
292
577
637
605

327

280
236

357

448

775
149
260
171

817

553
165
360
203

400

29
613
477
509

48
373
690

166

Table 49.— Number of Offenses Known to the Police, 19611, Cities and Towns
25,000 and Over in Population — Conlinued

City

Cities 25,000 to 50,000
in population— Con.

Missoula, Mont

Modesto, Calif

Moline, 111

Monrovia, Calif

Montclair, X.J

Montebello, Calif

Monterey Park, Calif.

Morton Grove, 111

Mountain View, Calif.

Mount Lebanon

Township, Pa

Muskegon, Mich

Muskogee, Okla

Napa, Calif

Nashua, N.H

Natchez, Miss

Natick, Mass

National City, Calif.. .

Needhani, Mass

New Albany , Ind

Newark, Ohio

New Brunswick, X.J.

Newburgh. X.Y

New Castle, Pa

New Iberia, La

X'ew London, Conn...

Xewport, Ky

Newport, R.I

Newport Beach, Calif.
Niles, 111

Norman, Okla

X'orristo wn, Pa

Northampton, Mass..
North Bergen Town-
ship, N.J

North Las Vegas, Xev

North Miami, Fla

North Tonawanda,

N.Y

Norwich , Conn

Norwood, Mass

Norwood, Ohio

Nutley, N.J

Oak Lawn, 111

Oak Park, Mich

Oak Ridge, Tenn

Occanside, Calif

Orange, Calif

Orange, X^.J

Orange, Tex

Orangetown, N.Y

Oshkosh, Wis...

Index-
total

482

1,136

448

551

818
171
416

143

703
299
270
266

214
185
531
100
372

384

647
500
227
101

539

468

240

1,873

248

453

397

69

513
599

693

158
223
216

105
307
427
121
756

569
434
188
112
280

Criminal
homicide

Murder
and
non-
negli-
gent
man-
slaugh-
ter

Man-
slaugh-
ter by
negli-
gence

Forci-
ble
rape

Rob-
bery

13

25

Aggra-
vated
assault

18

Bur-
glary
l)rcak-
ing or
enter-
ing

Incomplete

167
721
231
296
238

470

372

52

135

45
305
119
106

80

75
211

48
142

326
190
142

47

204
181

77
964

66

130
188
21

147
289

305

97
100
86

Larceny-
theft

$50
and
over

144
142
141
133

214

312

85

192

214
88
111
127

64
90

215
40

148

172
138
143
54
17

241
148
106
748
135

272

197
116

277

47
85
62

Under

$50

708

1,747

509

304

287

531
383
102
601

146
1,060
477
715
446

264

128

736

69

527

624
599
245
199
180

206
304
150
1,248
210

611
133
64

196
565

80
135
191

47

38

54

79

106

411

156

206

703

41

43

216

262

302

675

298

164

287

168

103

292

77

69

324

32

67

73

129

97

631

167

Table 49. — Number of Ojfenses Known to the Police, 1963, Cities and Towns
25,000 and Over in Population — Continued

City

Cities 25,000 to 50,000
in population— Con .

Ottumwa, Iowa

Overland Park, Kans.

Owensboro, Ky

Oxnard, Calif

Paducah, Ky

Pampa, Tex

Panama City, Fla

Paramus, N.J

Parkersburg, W. Va. _
Park Forest, 111

Park Ridge, lU

Parsippany-Troy Hills

Township, N.J

Peabody, Mass

Pekin, 111

Pennsauken, N.J

Perth Amboy, N.J

Petersburg, Va

Phenix City, Ala

Plainneld, N.J

Pleasant Hill, CaliL..

Pocatello, Idaho

PoncaCity, Okla

Port Chester, N.Y

Port Huron, Mich

Portsmouth, N.H

Portsmouth, Ohio

Pottstown, Pa

Poughkeepsie, N.Y

Prairie Village, Kans-..
Prichard, Ala

Provo, Utah

Quincy, 111

Rahway, N.J

Ramapo, N.Y

Redlands, Calif

Revere, Mass

Richardson, Tex

Richfield, Mmn

Richland, Wash

Richmond, Ind

Ridgewood, N.J

Ridley Township, Pa.

Rochester, Minn

Rock Hill, S.C

Rockville Centre, N.Y

Rocky Mount, N.C-..
Rome, Ga

Roseville, Minn

Roswell, N. Mex

St. Cloud, Minn

St. Louis Park, Mmn_

Salem, Mass

Salem, Oreg

Salina, Kans

Saluias, CaUf...

Index
total

180
266
749
996
667

222
291
147
338
126

208

199
376
452

633
657
184
709
378

716
176
294
306

184

657

92

423

171

178
360
341
207
475

566
272
305
85
519

92
250
363

282
358

'443
511
171
712
159

373

409
798
370
987

Criminal
homicide

Murder
and
non-
negli-
gent
man-
slaugh-
ter

Man-
slaugh-
ter by
negli-
gence

Forci-
ble
rape

Rob-
bery

Aggra-
vated
assault

57

149

4

9

9

44
9

13
9
4

22
3

38

Incomplete

1

Bur-
glary—
break-
ing or
enter-
ing

101
344
422
400

134
142

77
179
30

123

57
107
233
184

231
273

81
346
219

290

76

147

189

82

341
41

209

47

Larceny-
theft

$50
and
over

67
136
231
272

90

50
118

23
100

56

10
33
106
92

202
101
74
221
106

261
60
67
64
65

186
29

109
99

Under
$50

332
344
644

782
719

352

385
783
277
435

106

5
320

485
267

549
136
654
702

1,287

86

239

773

167

54
355
195

83

54

937

152

148

158

175

76

431

81

109

106

157

227

578

232

85

238

96

126

465

105

134

313

21

36

207

250

159

620

52

31

174

123

75

227

169

153

666

165

52

384

83

188

184

211

92

439

208

91

240

73

70

175

219

390

667

53

76

652

143

188

523

224

37

224

364

27''

1,176

153

135

760

536

260

818

168

Table 49.— Number of Offenses Kiunvn to the Police, 1963, Citi
25,000 and Over in Population — Continued

id T

City

Cities 25,000 to 60,000
in population— Con.

San Bruno, Calif. -.

Sandusky, Ohio

Santa Cruz, Calif...
Santa Fo, N. Mox..
Santa Maria, Calif.

Santa Rosa, Calif..

Sarasota, Fla

Sayreville, N.J

Scottsdale, Ariz

Selma, Ala

Shaker Heights, Ohio.

Shawnee, Okla

Sheboygan, Wis

Sherman, Tex

South Euclid, Ohio..-

Southfield, Mich

Southgate, Mich

South San Francisco,

Calif

Spartanburg, S.C

Springfield Township,

Fa

Steubenvihe, Ohio.
Stillwater, Okla....
Stratford, Conn_...
Superior, Wis

Taunton, Mass

Teaneck Township,
N.J

Tempe, Ariz

Temple, Tex

Texarkana, Tex

Texas City, Tex

Torrmgton, Conn

Upper Arlington, Ohio.

Urbana, 111

Valdosta, Ga

Vancouver, Wash-

Ventura, Calif

Vicksburg, Miss._

Victoria, Tex

Vineland, N.J

Wakefield, Mass

Walla Walla, Wash.
Wallinsford, Conn,.
Watertown, Mass...
Watertown, N.Y

Waukesha , Wis

Wausau, Wis

Wayne TowTiship, N.J.
Webster Groves, Mo...
Weii'ton, W. Va

Index
total

294
579
650
643

442
512
167
923
269

270
218
247
145
104

765
386

588
801

211

357
153
323
302

294
494
566
440

287
227
124
259
320

265
642
126
439
264

156
218
268
302
274

179
134
417
173

108 I

Criminal
homicide

Murder
and
non-
negli-
gent
man-
slaugh-
ter

Man-
slaugh-
ter bv
negli-
gence

Forci-
ble

rape

Rob-
bery

Aggra-
vated
assault

Larceny-

Bur-

theft

glary -

break-

ing or

$5((

Under

enter-

and

$50

ing

over

220

108

467

132

93

472

299

194

648

257

228

430

315

178

993

205

131

770

294

118

647

73

55

97

357

409

701

161

41

429

118

61

461

98

50

238

109

80

726

69

51

174

68

15

105

231

349

731

90

211

559

294

207

357

431

150

751

85

100

246

199

67

289

46

73

205

141

96

161

173

69

623

281

105

341

144

115

267

190

183

631

280

94

696

120

280

62

107

97

436

149

43

130

43

57

389

101

111

435

191

96

192

121

85

231

225

288

478

50

29

84

227

84

351

158

28

311

64

55

121

93

87

579

158

86

290

152

88

166

166

64

265

106

49

222

61

40

535

204

143

239

104

43

219

69

22

16

1G9

Table 49. — Number of Offenses Known to the Police, 1963, Cities and Towns
25,000 and Over in Population — Continued

Index
total

Criminal
homicide

Forci-
ble
rape

Rob-
bery

Aggra-
vated
assault

Bur-
glary-
break-
ingor
enter-
ing

Larceny-
theft

City

Murder
and
non-
negli-
gent
man-
slaugh-
ter

Man-
slaugh-
ter by
negli-
gence

$50
and
over

Under
$50

Auto
theft

Cities 25,000 to 50,000
in population— Con.

Wellesley, Mass

176
155
141
478
165

787
396
203
284
61

403
305
318
249
908

380
278
446
399
1,134

753

481

451

1
5

2

1
6
12

1

27

11

4

80
68
61
221

86

414
189

65
114

20

221
116
170
125
398

108
127
210
190
504

343

248

276

76
60
53
162
26

242
72
87

102
21

125
58
109
104
161

84
81

122
72

318

244
119

75

87
165
134
399

30

661
177

83
264
145

360
195
517
566
604

382

176

244

1,008

2,561

698
694

311

18

AVestfield, Mass

Westfield, NJ

4

4"
4
6

10
9
3
2

22

17

West Haven, Conn. .

1

78

West Mifflin, Pa

46

Westminster, Calif

West New York, N.J_

1

4

4

89
115

West Orange, N.J

West Springfield, Mass.

2

44
66

Wheaton, 111

1

2

1
3

19

Wheeling, W. Va .-

Wilkinsburg, Pa

1

1

9

15
2
1

38

7

3

8
5

'""I79"

122

42
107

Williamsport, Pa..

29

Wilmette, 111

19

Wilmington, N.C

Wilson, N C

6
3
._
1

i"
2

f

1
2

3

4

8
4

118
52

Woburn, Mass...

70

Woonsocket, R.I

Wyandotte, Mich

Yakima, Wash

2

2'

1
2

15

5
14
26

21
10

7

6

1
50

25
8

12

101
120
233

Yuma, Ariz

Zanesville, Ohio

Agana, Guam

119
93

64

Figures not comparable with prior years.

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