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Full text of "Uniform crime reports for the United States"

.Vb »n?>53.5a3 




^ 



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 
/ 
/ 
/ 
/ 

t . 

~f 7 
' / 
i / 
/ / 
/ / 
/ / 
/ / 
/ / 
/ / 
/ / 
/ / 
/ / 

-'■-"/ 

' ^^ 
I ^ ^ 

I f 
I I 

L •• 



<C 



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 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 







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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. 


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. 


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. 


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 


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. 


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. 


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. 



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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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co'co'V 




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c ^ 

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00 — < 

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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. 

+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. 


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 


103. 944 
59 1 


62, 392 
35 4 


1,716 
1 


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. 



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. 
930. 2 

928. 5 

986.6 

1,019.1 

937. 



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 

(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. 


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 

732-688°— G4 8 



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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. 


> 100.0 


I 100 






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 












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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 



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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. 


1 100. 


1 100. 


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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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 

.9 

2.3 

3.7 

7.0 

11.1 
19.9 

1.8 

.8 

20.5 

2.5 



.1 

.1 
.3 

. 7 
1.3 
5.4 
8.9 
2.6 



19. 3 



5.1 
1.7 
.4 

.8 
(0 
1.4 

.4 
1.0 
2.4 
3.7 
7.3 

11.1 
20.5 

1.9 

.8 

19.6 

2.6 



Female 



100. 



.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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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. 


1. 3-3. 2 


1. 2-1. 7 


.8-1.4 


. 4-1. 8 


. 4-2. 6 


. 1-4. 


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. 


1.1-2.0 

1 


1.1-1.8 


1. 0-2. 5 


. 3-3. 5 


. 7-3. 7 


. 2-4. 



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 


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 





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 




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 







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. 



170 



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