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

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CRIME 



IN THE UNITED STATES 




ISSUED BY 

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



UNIFORM CRIME REPORTS-1964 





FOR RELEASE 

Monday, P.M., July 26, 1965 

PRINTED ANNUALLY 



UNIFORM 

CRIME 

REPORTS 

for the United States 



PRINTED ANNUALLY— 1965 



Advisory: Committee on Uniform Crime Records 
International Association of Chiefs of Police 
Edmund L. McNamara, Commissioner of Police 
Boston, Massachusetts, Chairman 



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



For sale by the Superintendent of Documents, U.S. Government Printing Office, \^ ashington, D.C. 20402 

Price 55 cents 



Contents 



Page 

Preface v 

Crime factors vii 

Summary 1 

Crime Index totals 2-3 

Crime and population 3-6 

Criminal homicide 6-7 

Aggravated assault _ 7-9 

Forcible rape 9-10 

Robbery 10-13 

Burglary 14-15 

Larceny 15-17 

Auto theft 17-18 

Clearances 1 8-20 

Persons arrested 20-22 

Persons charged 22-23 

Mobility of offenders 23-27 

Careers in Crime 27-3 1 

Police employee data 3 1-38 

Introduction 39-49 

The index of crime, 1965 50-89 

United States, 1965 (table 1) 51 

United States, 1964-65, by regions, geographic divisions 

and states (table 2) 52-55 

States (table 3) 56-70 

Standard metropolitan statistical areas (table 4) 7 1-89 

General United States crime statistics, 1965 91-106 

Crime trends, 1964-65, by population groups (table 5) 92-93 

Crime rates, by population groups (table 6) 94-95 

Crime trends, 1965 versus average of 1960-64 (table 7)-__ 96 
Offenses known, cleared by arrest, by population groups 

(table 8) ____r_____ 97-98 

Offenses known, cleared by arrest, by geographic divisions 

(table 9) 99-100 

Offenses cleared by arrest of persons under 18 years of age 

(table 10) - 101-102 

Disposition of persons formally charged by the police 

(table 11) 103 

Offenses known, cleared; persons arrested, charged and 

disposed of (table 12)___ __--- 103 

Police disposition of juvenile offenders taken into custody 

(table 13) 104 

Offense analysis trends, 1964-65, and average values 

(table 14) 105 

iii 



General United States crime statistics, 1965 — Continued Pagf 

Type and value of property stolen and recovered (table 15) _ 105 

Murder victims — weapons used (table 16) 106 

Murder victims by age, sex and race (table 17) 106 

Arrests - 107-145 

Number and rate by population group (table 18) 108-109 

Arrest trends, 1960-65 (table 19) 110 

Total arrest trends, 1964-65 (table 20) 111 

Total arrests by age group (table 21) 112-113 

Total arrests of persons under 15, under 18, under 21, and 

under 25 (table 22) _ 114 

Total arrests, distribution by sex (table 23) 115 

Total arrest trends by sex, 1964-65 (table 24) 116 

Total arrests by race (table 25) 117-119 

City arrest trends 1964-65 (table 26) 120 

City arrests by age (table 27) 121-122 

City arrests of persons under 15, under 18, under 21, and 

under 25 (table 28) 123 

City arrests, distribution by sex (table 29) 124 

City arrest trends by sex, 1964-65 (table 30) 125 

City arrests by race (table 31) 126-128 

Suburban arrest trends, 1964-65 (table 32) 129 

Suburban arrests by age (table 33) 130-131 

Suburban arrests of persons under 15, under 18, under 21, 

and under 25 (table 34) 132 

Suburban arrests, distribution by sex (table 35) 133 

Suburban arrests by race (table 36) 134-136 

Rural arrest trends, 1964-65 (table 37) 137 

Rural arrests by age (table 38) 138-139 

Rural arrests of persons under 15, under 18, under 21, and 

under 25 (table 39) 140 

Rural arrests, distribution by sex (table 40) 141 

Rural arrests by race (table 41) 142-144 

Suburban and nu'al arrest trends by sex, 1964-65 (table 

42) 145 

Police employee data 147-175 

Full-time police employees; number, rate and ranoe (table 

43) r 148-149 

Full-time police officers; number, rate and ranae (table 

44) ^_ 150-151 

Civilian employees, percent of total (table 45) 152 

Police officers killed (table 46) 152 

Assaults on police officers (table 47) 153 

Full-time state police and highway patrol employees, and 

police killed (table 48) 154 

Police employees in individual cities (tables 49 and 50) _ 155-175 
Offenses in individual areas 25,000 and over by population 

groups (table 51) 176-192 



IV 



Preface 

Kecent years have witnessed a marked increase in citizen awareness 
of the crime problem. This growing interest — particularly that 
shown by persons who previously have taken the position that crime 
is solely the responsibility of the law enforcement profession — -is most 
encouraging. It offers promise of materially aiding police efforts 
in the control of crime. 

Individuals and organizations representing many segments of our 
society are displaying a keen interest in programs to assist law 
enforcement and, ultimately, to reduce the volume of crime. In many 
parts of the country, studies have been instituted and plans developed 
not only to achieve a better understanding of local crime conditions, 
but also to find solutions to the complex problems involved. The 
success of these programs depends largely upon the availability of 
factual and complete statistical data — data which help individual 
communities to comprehend the nature and extent of crime locally 
and to formulate effective measures of prevention and control. 

Under the stewardship of the FBI, the Uniform Crime Reporting 
Program has, for many years, been a primary source of information 
on the nature, extent, trend and distribution of crime. Recently, 
there has been a sharp increase in the utilization of these data and 
other police statistics by the courts, legislators, penal authorities and 
others concerned with the administration of criminal justice. 

Crime statistics are an essential tool of police management. 
Growing recognition of this fact is resulting in an improved collection 
of information — and in a continuing determination by the FBI and 
the individual contributors to this voluntary national Program that 
the most reliable and meaningful statistics possible be provided in 
meeting the needs of the wide variety of users. 

Advances in computer and related communications technology 
now make it both practical and feasible to obtain crime statistics 
more rapidly and in greater detail than heretofore possible. In 
cooperation with state and local police agencies, the FBI is currently 
developing a National Crime Information Center — -a computerized 
law enforcement information network which will begin operation 
early next year. 

At the outset, emphasis will be placed on information regarding 
wanted persons, stolen property and other operational-type data 
which will assist the police officer on the street. The information 



processed through the National Crime Information Center will, 
however, offer a rich potential for statistical data concerning criminals 
and their crimes. This potential will be fully explored and exploited 
as the computerized network develops. 

Ultimately, Uniform Crime Reports and related records will be 
processed directly into this nationwide network, from a centralized 
state source, making possible up-to-the-minute knowledge concerning 
many areas of the crime problem. The availability of such timely, 
in-depth statistics will open a new pathway to better service and 
understanding among those engaged in the enforcement of the law 
and the administration of justice. 

The new computer system promises an expanded use of statistics 
concerning crime. Accompanying this expanded usage is a greater 
responsibility — particularly for accuracy, reliability and conformity 
with established standards. 

Technology has given us the tools to better utilize the information 
we possess. We must cultivate this ability to the fullest. 



^•"T 



-Mtrra-NA^A. 



John Edgar Hoover, Director 



VI 



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. 



Vll 



Sunimary 



{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 

Alore than 2,780,000 serious crimes reported during 1965; a 6 percent 
increase over 1964. 

Fourteen victims of serious crimes per 1,000 inhabitants in 1965, 
an increase of 5 percent over 1964 and 35 percent over 1960. 

* * * 

More than 5,600 murders, 34,700 aggravated assaults with a gun 
and over 68,400 armed robberies in 1965. 

* * * 

118,900 robberies, 1,173,000 burglaries, 2,500,000 larcenies, and 
486,600 auto thefts resulted in total property stolen in excess of 
$1 billion. 

Arrests of persons under 18 for serious crimes increased 47 percent 
in 1965 over 1960. Increase in young age group population for same 

period was 17 percent. 

* * * 

In 1965, 53 police officers were mm'dered in the line of duty. Fifty- 
two were killed by firearms. Since 1960, 96 percent of officers mur- 
dered with the use of firearms. 



Over 30 percent of persons arrested in suburban areas were non- 
residents of suburban community where crime committed. 

* * * 

Careers in Crime: Initial FBI study of offenders disclosed over 48 
percent repeated within two years after being released to the street 
following a prior charge. 

1 



Crime Index Totals 

In the Uniform Crime Reporting Program the number of crimes in 
seven offense categories is tabulated on the basis of counts made by 
law enforcement agencies as crimes of these types become known to 
them. These crime categories — murder and nonnegligent man- 
slaughter, forcible rape, robbery, aggravated assault, burglary, lar- 
ceny $50 and over, and auto theft — are used to provide an index of 
the trend of crime in the United States. As a group, these offenses 
represent the most common local crime problem. Each crime classi- 
fication is serious, either by virtue of the nature of the criminal act 
itself, such as murder, forcible rape, robbery and aggravated assault, 
or because of the volume of criminal incidents which requu-e an in- 
ordinate amount of police investigative effort and time, such as 
burglary, larceny and auto theft. 

During calendar year 1965 more than two and three-quarter million 
serious crimes came to police attention, a 6 percent increase in the 
Crime Index in 1965 over 1964. Each of the individual crime cate- 
gories contributed to the overall increase. When considered as a group 
the crimes of violence, which comprise 13 percent of the Crime Index 
total, registered a 6 percent increase. Murder rose 6 percent, forcible 
rape 9, robbery 6, and aggravated assault 6 percent. The property 
crimes, which make up 87 percent of the Crime Index, rose 6 percent 
as a group with burglary up 6 percent, larceny $50 and over 8 percent, 
and auto theft 5 percent. Since 1960 the volume of crime has in- 
creased 46 percent. Dm-ing this six-year period the property crimes 
rose 47 percent and the violent crimes 35 percent. 

All city population groups had increases in 1965, led by a 7 percent 
rise in the group of cities having less than 50,000 inhabitants. The 
group with 500,000 or more population showed a 4 percent upward 
trend. City gToups in the intei mediate population range from 50,000 
to 500,000 had increases from 4 to 6 percent. Suburban areas with 
an 8 percent rise again had a sharper percentage increase in the volume 
of crime than cities over 250,000 population, which were up 4 percent 
as a group, and rural areas which were up 3 percent. 

When viewed geographically, all regions experienced crime increases 
in 1965 with a rise of 10 percent in the Western States, 8 percent in 
the Northeastern States, and 4 percent in the North Central and 
Southern States. All Crime Index offenses were up in all geographic 
regions with the exception of auto theft, which declined slightly in 
the Southern States. 

Estimated crime fio'ures for the United States are set forth in the 



following table. The trends shown in this table are based on the 
actual reporting- experience of comparable places. 





Estimated crime 1965 


Percent cliange over 
1964 


Crime Index classification 


Number 


Rate ])er 

100,000 

iuliabitants 


Number 


Rate 


Total 


2, 780, 000 


1,434.3 


+6 


+5 






Murder 


9,850 
22, 470 
118,920 
206, 700 
1,173,200 
762, 400 
486, 600 


5.1 
11.6 
61.4 
106. S 
605.3 
393. 3 
251.0 


+6 
+9 

+8 
+6 
+6 
+8 
+5 


+6 

+8 
4-5 


Forcible rape... . . ._ _ . _ .. . 


Robbery 


Aggravated assault... _ -_....._.. 


4-5 




+4 
+7 
+4 


Larceny $50 and over 


Autotheft .. _ _ __^ . _ _ . . 





Crime and Population 

A crime rate, for practical purposes, should be considered as a victim 
risk rate. Crime rates do not represent the number of criminals but, 
more accurately, the number of victims. The crime rate relates the 
incidence of crime to population. According to figures released by 
the United States Bureau of the Census, total United States population 
increased 1.3 percent in 1965. In that year the national Crime Index 
rate was 1,434 offenses per 100,000 population, representing a 5 percent 
increase over 1964. 

Many factors influence the nature and extent of crime in a par- 
ticular community. A number of these factors are set forth on page 
vii of this publication. A crime rate is limited to a consideration of 
the numerical factor of population and does not incorporate any of 
the other elements which contribute to the amount of crime in an area. 
The statistical tables in this publication disclose that the varying 
crime experiences, especially among large cities and suburban com- 
munities, are affected by a complex set of involved factors and are not 
solely limited to numerical population differences. 

The overall crime rate increase was largely influenced by the 
continuing upsurge in the property crimes. However, crime rates rose 
in each of the violent crime categories with the murder rate up 6 
percent, forcible rape 8 percent, aggravated assault 5 percent and 
robbery 5 percent over 1964. The number of crimes per unit of 
population is highest in the large population centers and those areas 
recording the fastest growing populations. 

The accompanying charts illustrate the trend in serious crime from 
1960 through 1965. They reveal the percentage increase in the 
volume of crime, the trend in the crime rate and population growth. 
A further breakdown is shown in the charts for crimes of violence and 



CRIME AND POPULATION 

1960-1965 

PERCENT CHANGE OVER 1960 



50 



+ 40 



+ 30 



+ 20 



+ 10 



4 
/ 
/ 
/ 
/ 

/ 

/ 
/ 
/ 
/ 
/ A 

i y^ 

i y 

-^^ 1 y- 

/ A 

I f 
I i 
I i 
/ / 
/ / 
I / 
/ / 

/ i 
/ i 

/ # 

f a' 

/ X 

/ X 

/ X 

/ / 

/y 

• ^y 

,.-><^ 



H Crime 
up 46% 



J Crime Ra 
^ up 35^/ 



Rate 



\ 



Population 
up 8% 



I960 1961 1962 1963 1964 1965 



CRIME = INDEX OF CRIME OFFENSES 

CRIME RATE = NUMBER OF OFFENSES PER 100,000 POPULATION 



FBI CHART 



Chart 1 



+ 50 
+ 40 
-f 30 
+ 20 
4- 10 


CRIMES OF VIOLENCE 

1960-1965 
PERCENT CHANGE OVER 1960 




















< 


VIOLENT 
CRIME 
UP 35% 








■■ 


.-' 








^^^ 


< 


RATE 
UP 25% 








,-9 








--.—J 


,.'''" 


/ 






1960 1561 1962 1963 1964 1965 
LIMITED TO MURDER, FORCIBLE RAPE, ROBBERY, AND AGGRAVATED 


ASSAULT 



Chart 2 



FBI CHART 



CRIMES AGAINST PROPERTY 

1960-1965 
PERCENT CHANGE OVER 1960 



-f 50 
+ 40 
+ 30 
+ 20 
+ 10 



,^ 

^ ^^^ 



< 



PROPERTY 
CRIME 
UP 47% 



RATE 
UP 36% 



1960 1961 1962 1963 1964 1965 



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



Chart 3 



FBI CHART 



crimes against property. During the first six years of the 1960's the 
rate for crimes of violence as a group increased 25 percent, while 
crimes against property recorded a rate increase of 36 percent over 
the same time period. 

Arrest data commencing on page 107 will enable the reader to obtain 
information on other types of crimes, as well as additional data relating 
to the seven Crime Index offenses treated thus far. 

Criminal Homicide 

In the Uniform Crime Reporting Program, murder and non- 
negligent manslavighter include all willful killings without due process 
of law. There are two types of justifiable killings which are not in- 
cluded; namely, the killing of a felon by a police officer or by a private 
citizen. In 1965 there were 9,850 willful killings, a 6 percent increase 
over 1964. Since 1960 this serious oft'ense has increased 9 percent. 
The national murder rate was 5.1 killings per 100,000 persons in 1965. 

Murder follows a seasonal pattern; that is, it occurs more frequently 
in the summer months. The exception to this is December which 
again in 1965 was high for the ^^ear. Murder per unit of population 
was highest in the Southern States which reported a 5 percent increase 
in volume. Murder in the Northeastern States was also up 5 per- 
cent, North Central States up 9 percent, and the Western States 11 
percent. In 1965 cities in the 100,000 to 250,000 population group 
reported the highest percentage increase, up 10 percent, while murder 
in the suburbs rose 5 percent. Willful killings in the rural area, 
which had decreased in 1964, rose by over 11 percent in 1965. 

In 1965, 57 percent or 5,634 murders were committed with fire- 
arms. A knife or other cutting instrument was used in 23 percent 
of the willful killings; personal weapons, such as beatings, strangula- 
tions, etc., in 10 percent; blunt objects, 6 percent; and the remaining 
4 percent were committed by other means such as by arson, poisons, 
explosives, etc. When viewed by geographic regions, the use of a 
gun in murder followed the same experience as prior years. A firearm 
was used in 38 percent of the willful killings in the Northeastern 
States, 60 percent in the Western States, 61 percent in the North 
Central States, and in 66 percent of the killings in the Southern 
States. 

Circumstances or motives surrounding these willful killings indicate 
the extent to which this crime is generally beyond police control. 
Conditions that breed murder — social, human and material — vary 
widely from one area to another. In 1965 killings within the family 
made up 31 percent of all murder. Over one-half of these involved 
spouse killing spouse and 16 percent parents killing children. Murder 
outside the family unit, usually the result of altercations among 
acquaintances, made up 48 percent of the willful Idllings. In the 



latter category romantic triangles or lovers' quarrels comprised 21 
percent and killings resulting from drinking situations 17 percent. 
Felony murder, which is defined in this Program as those killings 
resulting from robberies, sex motives, gangland slayings and other 
felonious activities, made up 16 percent of these offenses. In another 
5 percent of the total police were unable to identify the reasons for 
the killings; however, the circumstances were such as to suspect 
felony murder. 

In those murders occurring within the family unit, a gun was used 
as the weapon in 59 percent of the cases, likewise, a firearm was used 
in 58 percent of the killings involving arguments between acquaint- 
ances. A gun was used in 49 percent of the felony murders. The 
victims of murder were 3 to 1 male and arrests for murder 5 to 1 
male. By age group persons between 20 and 40 years of age were 
the most frequent victims, persons over 60 years of age made up 7 
percent of the murder victims and young children under 10 years 5 
percent. 

In 1965 police were successful in clearing up over 90 percent of 
the criminal homicides. This high solution rate was fairly consistent 
in all population groups and geographic regions. Arrests for murder 
increased 7 percent in 1965 and since 1960 arrests for criminal homi- 
cide have increased 20 percent. For calendar year 1965, 48 percent 
of the adults charged with murder were found guilty of this offense, 
20 percent were found guilty of some lesser offense and the remaining 
32 percent were either acquitted or their cases were dismissed. Of 
all persons charged with murder, 7 percent were under 18 years of age. 

Aggravated Assault 

During calendar year 1965, aggravated assault increased 6 percent. 
Since 1960 this vicious crime has risen 40 percent in volume, with 
206,700 persons attacked in the past year. For each 100,000 persons 
in the United States during 1965, there were 107 victims of an aggra- 
vated assault. 

This crime as measured by rates was most prevalent in the Southern 
States, while the North Central and Northeastern States reported the 
lowest incidence. It occurs more frequently in the large cities; 
however, the sharpest upward trend in the past few years has been 
in the suburban areas. 

Prior surveys and police experience have shown that nearly two- 
thirds of these offenses involve persons within the same family unit 
or the victim and assailant are acquainted. In this respect, as well 
as by the nature of the attack, aggravated assault and murder are 
similar. Because of the degree of the relationship between the victim 
and assailant, these crimes generally occur beyond the reach of police 
patrol. This offense is a crime of social disorder and frequently 



iiiA^olves hazards for police. In the last five years 58 police officers 
have lost their lives responding to calls for assistance involving 
''disturbances" or ''family disputes." 

Police nationally solved 73 percent of these crimes which came to 
their attention in 1965. Police activity, as measured by arrests for 
this offense, increased 5 percent during the past year. Arrests of 
adidts rose 5 percent, while arrests for persons under 18 were up 7 
percent. In reviewing arrests for this offense by sex, males out- 
numbered females by more than 6 to 1. The 20-24 year olds led the 
arrest rate age group. This is primarily an adult crime but persons 
under 18 were represented in 15 percent of the arrests. By areas, 
the distribution of arrests by age group was fairly consistent; however, 
in the rural areas the involvement of persons under 18 was significantly 
lower, namely, 7 percent. 

The seasonal variation for aggravated assault remained consistent 
with the experience of the past several years; namely, a high number of 
offenses in the summer months tapering off to the lows in the colder 
months of the year. Similar to the 1964 experience, aggravated 
assault reached its peak in August, 1965, Avhile January appeared low. 

Because of the frequent close relationship between victim and 
offender, this offense is also a prosecutive problem. In 1965, 41 percent 
of the adults charged were found guilty of aggravated assault, 18 
percent were found guilty of some lesser charge, and 41 percent were 
dismissed or defendants acquitted. Persons under 1 8 were charged in 
15 percent of the incidents. 

Approximately 17 percent of all aggravated assaults were committed 
with a firearm in 1965, 36 percent by knife or other cutting instrument, 
22 percent with a blunt object or other dangerous weapon, and 25 
percent with personal weapons, such as hands, fists, and feet. Fire- 
arms were used in 17 percent of the attacks in cities over 250,000, 20 
percent of the assaults in rural areas and 16 percent in the suburbs. 
It is estimated there were 35,000 assaults with a gun in 1965 in which 
the victim survived. 

The following table demonstrates the percent distribution by type of 
weapon used in aggravated assault by geographic region in 1965. 





Type of Weapon Used— Percent 


Region 


Firearms 


Knife or 
other cutting 
instrument 


Blunt object 

or other 

dangerous 

weapon 


Personal 
weapons 


Northeastern States. 


10.3 
16.8 
19.8 
18.3 


39.8 
36.7 

35.8 
29.7 


23.1 
21.8 
19.1 
26.3 


26.8 


North Central States 


24.6 


Southern States . _ 


25.3 


Western States. 


25.7 







The low conviction percentage on the original charge is due primarily 
to the close relationship between the assailant and victim and the 
latter's refusal to prosecute. Slightly over 7 of every 10 persons 
arrested for aggravated assault in 1965 were formally charged by police. 

Forcible Rape 

There were 22,470 forcible rapes or assaults to commit this offense 
in the United States during 1965. Many offenses of this type are 
not reported to a law enforcement agency primarily due to fear and/or 
embarrassment on the part of the victim. Volumewise, these offenses 
have been steadil}^ rising for several years and were up 9 percent over 
1964. Of the seven Crime Index offenses, forcible rape showed the 
highest percentage increase during 1965. Nationally, the forcible rape 
rate was 23 offenses per 100,000 female population. For the period 
1960-1965, the trend of this crime against the person has increased 
36 percent. 

Forcible rape follows a similar seasonal pattern from year to year 
in that the warm or summer months, June through September 
generally are high. In 1965, the month of June was the high point in 
cities, while July was the high month in the suburban and rural areas. 
The chart which follows demonstrates the monthly variations in 1965, 
as well as the five-year average seasonal variations for this oft'ense. 
Nearly two-thirds of these crimes were actual rapes by force, while the 
remainder were attempts to commit rape. 

These offenses occur in all areas, but they are primarily big city 
crimes. The overall forcible rape rate increased 8 percent in 1965, 
with cities in excess of 250,000 recording a rate of 21 per 100,000 
population. 

Geographically, all regions reported increases in the volume of 
these offenses with the North Central States recording the sharpest 
upward trend of 14 percent. The Western States reported the highest 
forcible rape rate. Approximately 1 of every 5 forcible rapes occurred 
in cities in excess of 1 million, which recorded an increase of 12 per- 
cent. The volume was up 14 percent in the suburbs, 11 percent in 
large cities as a group, and in the rural areas there was little change. 

Similar to the other crimes against the person, police efforts are 
limited in preventing the occurrence of forcible rape offenses since 
they generally occur beyond reach of patrols. Police cleared up by 
the arrest of the offender 64 of every 100 cases. For all offenses 
cleared, police identified persons under the age of 18 in 14 percent of 
these attacks. 

Arrests for forcible rape increased 2 percent in 1965 with 64 percent 
of the persons arrested under the age of 25. Arrests for persons under 
18 increased 13 percent and represented 21 percent of all those arrested 

221-746°— GG 2 9 



for this offense. Since 1960, forcible rape arrests for persons under 
18 have increased 35 percent. 

Not all persons arrested are bound over for prosecutive action. 
Many reasons exist, such as the victim refuses to prosecute, etc., 
which may preclude court action. In 1965, 72 percent of the persons 
arrested for forcible rape were tried in court. Of all persons charged 
Avith forcible rape 24 percent were referred to juvenile court jurisdic- 
tion. Of the adults charged with this offense 40 percent were found 
guilty of forcible rape, 17 percent of some lesser offense and 43 percent 
were acquitted or had their case otherwise dismissed. 

Data concerning statutory rape where no force is used and other 
sex offenses are collected on the basis of persons arrested. Arrests 
for these offenses decreased 8 percent in 1965 and accounted for about 
1 percent of all police arrests. Adult arrests declined 7 percent and 
arrests for persons under 18 were down 11 percent in the cities, 3 
percent in the suburbs and up 13 percent in the rural areas. Of the 
total persons charged for these crimes, 55 percent were found guilty as 
charged, 7 percent were found guilty of a lesser charge, 17 percent 
were acquitted or dismissed at some prosecutive level and 21 percent 
of the persons charged were referred to juvenile court. 

Robbery 

Robbery is a violent crime, and in a great many instances, these 
crimes result in personal injury to the victim and are always accom- 
panied by the use of force or the threat of force. In 1965, 58 percent 
of the robberies were committed by armed perpetrators. The remain- 
ing 42 percent were strong-arm type crimes such as mugging, yoking, 
etc., or were attempts to commit robbery. 

There was a 6 percent increase in the estimated total number of 
these crimes when compared to 1964. There were more than 118,900 
robberies in the United States during 1965, an average of about 326 
crimes of robbery every day of the 3^ear. The relative increase in this 
type of crime was highest in the suburban area, up 13 percent. Cities 
over 250,000 population were up 4 percent, while rural robberies 
declined 4 percent. Since 1960, the number of robberies committed 
in the United States has risen 29 percent. Geographically, the region 
showing the greatest percentage change was the Northeastern States 
up 13 percent, followed by the Western States 10, Southern States 5, 
and North Central States 2 percent. 

The Western States had the highest percentage of armed robbery 
with almost two-thirds of these offenses committed with the use of a 
weapon. Strong-arm robbery was highest in the North Central 

10 



Region. The following table gives the robbery breakdown for all 
geographic regions. 





Robbery by geographic regions 




Total 


North- 
eastern 


North 
Central 


Southern 


Western 


Armed— any weapon _ . 


57.6 
42.4 


60.3 
39.7 


52.7 
47.3 


56.9 
43.1 


63 9 


Strong-arm — no weapon 


36 1 







When considered by type, all robbery categories had increases. In 
1965, street robberies, which comprised over one-half the offenses 
committed in this category, rose 3 percent. Robberies of gas or 
service stations had a substantial increase of 8 percent, and chain 
store robberies rose 7 percent. Bank robberies, although making up 
less than 1 percent of all robbery crimes, jumped 19 percent. The 
average value of loot obtained by bank robbers in each attack rose 
from $3,309 in 1964 to $3,789 in 1965. The average loss in each 
robbery was $254 which amounted to a total dollar loss of more than 
$30 million. 

The 1965 rate was 5 percent higher than in 1964 with 61 victims per 
100,000 population. The group of cities with populations of more 
than 250,000 had a 1965 rate of 179 offenses per 100,000 inhabitants. 
This was about 6 times greater than the suburban area rate and 18 
times higher than the rural rate. Geographically, the robbery rate 
was highest in the Western States. 

Nationally in 1965, police cleared 38 percent of the robbery offenses 
through the arrest of the offenders. Slightly more than 1 of 5 of these 
crimes involved persons under 18 years of age as offenders. These 
young persons were responsible for 32 percent of the strong-arm 
robberies and 12 percent of the robberies where a weapon was used. 

Robbery arrests for 1965 had the greatest percentage increase 
among the young age group under 15. There was a 9 percent rise in 
arrests of these young persons, whereas arrests of persons under 18 
rose 6 percent and adults less than 1 percent. Persons under 25 
accounted for 69 percent of all arrests for robbery nationally and 
those under 18 for 30 percent. From 1960 to 1965 the arrests of 
persons under 18 for robbery rose 40 percent. 

Of those charged with robbery, 34 percent were referred to juvenile 
court. Of the adults charged 52 percent were found guilty as charged, 
19 percent guilty of a lesser offense and 29 percent of the cases were 
dismissed or the defendants were acquitted. 



11 



CRIMES 



KEY: -- 1960- 1964 MOVING AVERAGE 

AGAINST THE PERSON 



+ 30% 



+ 20 




30% 



JAN. 



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



+ 30% 




30% 



JAN. 



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




-30% 



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



+30' 
+20^ 
+ 10% 

ANNUAL 



30% 



AGGRAVATED 
ASSAULT 




Chart 4 



12 



BY MONTH 

VARIATIONS FROM 1965 ANNUAL AVERAGE 

AGAINST PROPERTY 



+ 30% 


ROBBERY /\ 


-t- 20% 






/' 


+ 10% 

ANNUAL 


K--» 






r 


AVERAGE 




^^^^^■■iMiiBiaa*^"'^ ^ • *^ 




- 10% 




— 20% 
-30% 





JAN. 



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




30% 



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



+ 30% 


LARCENY 












+ 10% 




^--- 




.. — ^ 


ANNUAL 


^^^ •*" ^^V,__, 


AVERAGE 


****** ^BT^*^"^^ 


^-^^ ^^ 


-20% 
-30% 


^^^ 





JAN. 



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



+ 30% 


AUTO THiFT 


+ 10% 
ANNUAL 




^^ " iiiii , 


AVERAGE 












-30% 


'■■:<,.:■■■■ ': 



FBI CHART 



Chart 4 



13 



Burglary 

Burglary is the crime with the highest volume of offenses known to 
police of any of the Crime Index offenses. In 1965 there were 6 
percent more burglaries committed than in 1964 and since 1960 this 
crime has increased by 41 percent. There were over 1,173,200 
burglaries committed during 1965 which averaged more than 3,200 
per day. In the Uniform Crime Reporting Program, burglary in- 
cludes both forcible entry and unlawful entry where no force is used 
but trespass exists. 

Burglary is primarily a crime of stealth and over 70 percent of these 
crimes were committed at night. Places of business were victimized 
in more than 50 percent of the burglaries but only 9 percent of these 
nonresidential burglaries occurred during daylight hours. Resi- 
dential burglaries were about evenly divided between night and day, 
with 49 percent occurring during the daytime and 51 percent at night. 
There were sharp increases, however, in both day and night residence 
burglaries amounting to 12 and 7 percent respectivel}^. 

In 1965, 76 percent of all offenses of burglary involved the use of 
force to gain entry. Seventeen percent were the unlawful entry-type 
where no force was used and 7 percent were attempts to commit 
forcible entry. 

In 1965 the average value of property stolen in each burglary was 
$242, or a national total dollar loss of $284 million. This loss does 
not include the damage and destruction of property which results 
from breaking and entering offenses. 

The bm'glar}^ rate, the number of offenses per 100,000 population, 
registered a 4 percent rise in 1965 over 1964. The trend in this of- 
fense was consistent in all areas. Geographically the Western States 
reported an 11 percent increase, Northeastern 7, North Central 5 and 
the Southern States 1 percent. 

The police were able to clear 25 percent of the burglary offenses by 
identification and arrest of the offender. This clearance percentage 
applies with only slight variations to all population groups and geo- 
graphic divisions. Persons under 18 j^ears of age were found to be re- 
sponsible in 37 percent of the burglary oft'enses which were solved. 
The clearance percentage for persons in the 3^oung age group ranged 
from a low of 20 percent in the largest cities with over one million popu- 
lation to a high of 51 percent in cities under 10,000 population. 

Nationally there was a 4 percent increase in arrests for burglary. 
More than half the persons arrested were under 18 years of age and 8 
of every 10 persons arrested for burglary were under 25 years of age. 
The highest percentage of involvement of the young age group in 
burglary arrests occurred in the suburban area where 56 percent of 

14 



those arrested were under 18. From 1960 to 1965 arrests of persons 
under 18 years of age for burglary increased 26 percent. 

With respect to persons charged with burglary, over half were re- 
ferred to juvenile court. For adults charged with burglary 51 percent 
were found guilty as charged, 15 percent were found guilty of a lesser 
offense and 34 percent were acquitted or had their cases dismissed. 

Larceny 

Larceny-theft includes crimes such as shoplifting, pocket-picking, 
purse-snatching, thefts from autos, thefts of auto parts and acces- 
sories, etc. It does not include fraudulent transactions, fraudulent 
checks or embezzlement. The Crime Index offense of larceny is 
limited to those thefts where the value of the goods stolen is $50 



CRIME CLOCKS 



1965 




SERIOUS CRIMES 

5 EACH MINUTE 




MURDER, FORCIBLE RAPE 
OR ASSAULT TO KILL 

ONE EVERY 2 MINUTES 




MURDER 

ONE EVERY HOUR 






FORCIBLE RAPE 

ONE EVERY 23 MINUTES 



AGGRAVATED ASSAULT 

ONE EVERY 2y2 MINUTES 



ROBBERY 

ONE EVERY 4V2 MINUTES 






BURGLARY 

ONE EVERY 27 SECONDS 



LARCENY 
($50 and over) 

ONE EVERY 41 SECONDS 



AUTO THEFT 

1 EACH MINUTE 



FBI CHART 



Chart 5 



15 



or more. In 1965, this Index crime increased 8 percent over 1964 
and was second only to burglary in volume with 762,400 offenses 
reported. Since 1960, there has been an increase in larceny $50 
and over of 57 percent. 

The upward trend of larceny in 1965 was most pronounced in the 
suburban areas which showed an 11 percent rise. All cities when 
grouped were up 6 percent and the rural areas recorded an 8 percent 
upswing. Cities over 250,000 population reported an average in- 
crease of 3 percent. Geographically, the trend in thefts over $50 
ranged from a rise of 11 percent in the Western States, and 10 percent 
in the Southern States to 8 percent in the Northeastern States and 
3 percent in the North Central States. 

Seasonally, these crimes conform to a general pattern which is 
relatively stable throughout the 3^ear but has a tendency to peak 
in August. In 1 965 there was an unusually sharp upswing in Decem- 
ber when compared to prior years. 

The larceny or victim rate, which is the number of thefts per 
100,000 population, was 393 in 1965. This was an increase of 7 per- 
cent above the rate in 1964. As in the past, the rural rate was lowest 
at 176, the suburban area rate was 359, and the cities over 250,000 
population had a rate of 633. 

In 1965 the average value of property stolen in each Larceny- 
theft was $84 which made the total loss from these crimes in excess 
of $211 million. This includes the numerous thefts under $50 in 
value which totaled 1,752,600 in 1965. The average dollar loss for 
larceny in 1960 was $74. It is a recognized fact that man}^ thefts, 
particularly those where the value of the goods stolen is small, are 
never reported to law enforcement agencies. The average value 
of property stolen in pocket-picking was $100, purse-snatching $45, 
shoplifting $27, theft from autos $110 and miscellaneous thefts 
from buildings $159. 

When reviewed by type, it is found that thefts of auto parts and 
accessories and other thefts from autos accounted for about 40 per- 
cent of all larcenies. Thefts from buildings made up 18 percent 
of all larceny violations and stolen bicycles contributed 15 percent 
of the total. 

Larceny is a crime of opportunity and in most instances the value 
of the property stolen is a matter of chance. Many of these crimes 
would be prevented if citizens would use appropriate precautionary 
measures to safeguard their property. With the opportunity for 
theft removed, frequently the temptation to steal is also removed. 

In 1965 law enforcement agencies nationally cleared by arrest 20 
percent of aU larceny cases brought to their attention. The clear- 
ance rates were consistent, ranging from 18 percent in the suburban 
area to 22 percent in cities under 10,000 population and in the rural 

16 



area. City crime figures disclose that 44 percent of all larceny 
clearances involved persons under 18 years of age. This is a slight 
increase in the involvement of this young age group when compared 
to 1964. In the suburbs 46 percent of the larceny offenses were 
cleared by the arrest of juveniles while the percentage in the rural 
area was 30 percent. 

Nationally, police made an average of 286 arrests for larceny for 
every 100,000 population in 1965. Total arrests for this crime were 
down less than 1 percent with decreases recorded in the adult arrests 
as well as arrests of persons under 18. Persons under 25 accounted 
for 76 percent of all arrests for theft. Persons under 21 were involved 
in 67 percent, those under 18 in 55 percent. Since 1960 police arrests 
of persons under 18 years of age for larceny have increased 60 percent. 

Police charged 82 percent of the persons they arrested for larceny. 
Of those charged, 45 percent were referred to juvenile court juris- 
diction. Of the adults charged 70 percent were found guilty of 
larceny, 6 percent guilty of some lesser offense, and 24 percent were 
acquitted or their cases were dismissed. 

Auto Theft 

In 1965 there were 486,600 auto thefts, a 5 percent increase over 
1964. On the average, over 1,300 motor vehicles w^ere stolen each 
day during the year. Since 1960, auto theft has increased 51 percent — 
more than double the percentage increase in automobile registrations. 

Auto theft makes up 18 percent of the Crime Index offenses. The 
value of these stolen motor vehicles exceeded one half billion dollars 
in 1965. Although 88 percent of the stolen automobiles were re- 
covered, the remaining 12 percent constituted a total dollar loss in 
excess of $60 million. 

Geographically, the Northeastern States recorded the highest 
increase in volume for auto theft, followed by the North Central and 
Western States. The Southern States recorded no change in the 
volume of car theft. Nationally, auto theft reached its peak during 
the month of October, 1965. 

About one of every four auto thefts was cleared by the arrest of the 
offender. The burden placed on law enforcement in this important 
category is readily recognizable by the involvement of young persons 
in the transportation-type thefts. Citizen alertness in keeping cars 
locked and in not leaving keys in ignitions or ignitions unlocked would 
aid materially in reducing these thefts since so many occur due to the 
accessibility of the vehicle and the easy opportunity presented for 
theft. 

Across the Nation, arrests for auto theft decreased 3 percent. 
Arrests of persons under 18 decreased 5 percent, while adult arrests 
increased a slight 1 percent. Since 1960, however, arrests for auto 

17 



theft for persons under 18 years of age increased 44 percent and 
adults 37 percent. 

Offenders under the age of 18 accounted for 62 percent of the 
arrests, while persons under 25 were responsible for 88 percent of the 
total arrests for auto theft. The 15-19 year old group recorded 
the highest arrest rate for auto theft. Males made up 96 percent of 
the arrests for this offense. 

Of all persons charged with auto theft, 61 percent are referred to 
juvenile court. With respect to the adult offenders 54 percent were 
found guilty of auto theft, 16 percent guilty of some lesser offense 
and 30 percent had their cases dismissed or were acquitted. 

Nearly two-thirds of all auto thefts occur at night and over one-half 
are from private residences, apartments or streets in residential areas. 
While recoveries of stolen automobiles run high, police are not able in 
most instances to determine the purpose of the theft unless an arrest 
is made. Prior surveys have disclosed, however, that about 75 percent 
of the cars stolen were used for transportation or the purpose of the 
theft was not known. Eight percent were taken for the purpose of 
stripping for parts, 5 percent were used in another crime or for escape 
and the remainder for resale purposes. Law enforcement agencies 
are faced with a constant^ rising number of cars being stolen for 
stripping for parts. Regardless of the purpose of the theft, an exten- 
sive amount of police time and effort are required to handle and 
process these thefts. The mounting number of auto thefts with the 
average value of the stolen car being $1,030, plus the added costs due 
to increased insurance rates, damages to the stolen vehicles and the 
inconvenience and economic loss for the owner combine to make auto 
theft a very expensive crime problem. 

Clearances 

In 1965 the clearance or police solution rate nationally was 24.6 
percent, virtually unchanged from 1964. Reports from law enforce- 
ment agencies for 1965 disclosed police cleared by arrest of the offender 
or by exceptional means 91 percent of the murder, 64 percent of the 
reported forcible rape, 73 percent of the aggravated assault and 38 
percent of the robbery. Prbperty crime clearances were, of course, 
lower with clearances shown in 25 percent of the burglary, 20 percent 
of the larceny-theft and 25 percent of the auto theft. The property 
crimes universally showed a lower clearance rate due to the volume of 
these offenses and the absence of witnesses to most of these crimes. 
When clearances for negligent manslaughter and larcen^^ under $50 
in value are deleted from the computations, the police clearance rate 
for the serious, or Crime Index offenses, becomes 26.3 percent. Geo- 
graphically, police experience in clearing crimes by arrest varied only 

18 



CRIMES CLEARED BY ARREST 

1965 



AGAINST THE PERSON 



CLEARED 



91% 



MURDER 



NEGLIGENT 
'0 MANSLAUGHTER 



^^0 FORCIBLE 
m/o RAPE 



llOf AGGRAVATED 
lO /O ASSAULT 



NOT CLEARED 



AGAINST PROPERTY 



CLEARED 



25% 



mo 



mo 



NOT CLEARED 



ROBBERY 



BURGLARY 



LARCENY 



AUTO THEFT 



FBI CHART 



Chart 6 



19 



slightly. The highest overall clearance rates were reported by the 
South Atlantic and West South Central States, each with 27.6 per- 
cent. Since 1961 police clearances have decreased 8 percent with all 
Crime Index classifications disclosing a downward trend. 

Statistical data was collected in 1964 for the first time which per- 
mitted the publication of figures indicating the extent of the impli- 
cation of persons under 18 in the Crime Index offenses as measured 
by the number of crimes cleared by arrests of persons in this young 
age group. The statistics reported by police in 1965 confirm the 
experience of the preceding year. Persons under 18 years of age 
were identified as having been involved in 30 percent of the serious or 
Crime Index offenses which were cleared by arrest. By including 
clearances for larceny under $50 and negligent manslaughter, the 
juvenile percentage jumps to 37 percent. The young age group 10 
to 17 years now make up approximatelj^ 15 percent of the total United 
States population and based on police solutions of crimes, they commit 
42 percent of all property offenses. Both arrests and clearances are 
useful as indices to measure involvement of youth in crimes committed 
in a certain area or community. Arrests show the number of persons 
involved while clearances measure the extent to which young people 
can be identified with criminal acts. Clearances are one measure of 
police acti^dty to control crime; arrests for criminal acts are another. 
Further information relating to arrest data will be found in subsequent 
pages of this publication. 

In considering crime clearances it is pointed out again that the 
arrest of one person can clear several crimes or, on the other hand 
several persons ma}^ be arrested in the process of clearing one crime. 
Police count a clearance when they have identified the offender, have 
sufficient evidence to charge him and actually take him into custody. 
Instances of exceptional clearances are counted when some element 
beyond police control prevents them from formally charging an 
ofi^ender, such as victim's refusal to prosecute or prosecution de- 
clined in lieu of prosecution elsewhere. 

Persons Arrested 

In the period 1960-1965 police arrests for all criminal acts, except 
traffic offenses, have risen 10 percent. During this same period 
police arrests of persons under 18 years of age jumped 54 percent. 
For the same period of time the increase in the 10-17 age group 
population was 17 percent. Thus, it can be clearly observed the 
percentage increase in the involvement of these yovmg persons, as 
measured by police arrests, is more than triple their percentage 
increase in the national population. Keep in mind, however, that a 
relatively small percentage of the total young age population becomes 
involved in criminal acts, less than 5 out of 100. 

20 



When only the serious crimes are used for trend purposes during 
this six-year period, it is noted that arrests increased 33 percent. 
Arrests of the under 18 age group for the same crimes rose 47 percent. 
Although adult arrests were up sharply during this period, the up- 
ward trend for the young age group was double that for adults. 
The young age arrests for violent crimes were up 50 percent and for 
the property crimes 47 percent. 

Adult arrests for the violent crimes for the same period were up 17 
percent and for property crimes 25 percent. Arrests are first a 
measure of police activity as it relates to crime. Arrests do, however, 
provide a useful index to measure involvement in criminal acts by 
the age, sex and race of the perpetrators particularly for those crimes 
which have a high solution rate. Procedures used in this Program 
require that an arrest be counted on each separate occasion when a 
person is taken into custody, notified, or cited. Arrests do not 
measure the specific number of individuals taken into custody since 
one person may be arrested several times during the year for the 
same or different offenses. This happens frequently for certain types 
of offenses against public order such as drunkenness, vagrancy, 
disorderly conduct and related violations. 

In 1965, arrests for all criminal acts, excluding traffic, increased 
less than 1 percent over 1964. Nationally, there were 37 arrests for 
each 1,000 persons in the United States. The arrest rate for cities 
as a group was 43 per 1,000 population, for suburban areas 22, and 
for the rural areas 16. The total volume of city arrests increased 
almost 1 percent, suburban 5 percent, and rural 2 percent. 

Nationally, persons under 15 years of age made up 9 percent of the 
total police arrests; under 18, 21 percent; and under 21, 32 percent. 
In the suburban areas the involvement of the young age group in 
police arrests is considerably higher than the national figure with the 
under 15 age group represented in 12 percent; under 18, 32 percent; 
and under 21, 45 percent. In the rural area the distributions were 
lower for the younger age group with the under 15 age group being 
involved in 4 percent of the total police arrests; under 18 in 19 percent; 
and those under 21 in 35 percent. 

In reviewing arrest figures it is important to keep in mind that 
police arrest practices and emphases vary which will account for some 
variations in these statistics from year to year. It is noted that 
arrests of persons under 18 rose 35 percent for prostitution and com- 
mercialized vice, and 38 percent for Narcotic Drug Law violations. 
In fact, nationally, approximately 1 of every 4 individuals arrested 
for violations of the Narcotic Drug Laws was a person under 21 years 
of age. 

Arrests for Narcotic Drug Law violations were up 12 percent 
nationally. From 1960 to 1965 arrests for this violation increased 46 

21 



percent. There is set forth below a tabulation by geographic region 
showing the type of narcotic dnig involved in tlie arrest of the offender. 





Geographic regions 




North- 
eastern 


North 
Central 


Southern 


Western 


Narcotic drug laws (percent): 

Opium or cocaine and their derivatives 

Marijuana 


54.1 

22.5 

2.5 

20.9 


35.1 

28.4 

6.0 

30.4 


26.8 

19.0 

7.6 

46.6 


24.0 
47.2 




6.8 


Other— dangerous nonnarcotic drugs 


22.0 



Male arrests for all crimes outnumbered female arrests 7 to 1; how- 
ever, female arrests continued to increase more rapidly in 1965. There 
was little change in total male arrests, up 1 percent, and female arrests 
increased 2 percent. This was primarily influenced by a 9 percent 
increase in arrests of young females under the age of 18. Females 
were arrested in 12 percent of the serious or Crime Index- type offenses. 
Their involvement in these crimes is primarily for larceny. Females 
accounted for 18 percent of the forgery, 20 percent of the fraud and 
17 percent of the embezzlement arrests. 

Persons Charged 

In 1965 in the serious crime categories there was a significant 5 
percent decrease from 1964 in the number of adults found guilty and a 
sharp 13 percent increase in the number of acquittals and dismissals. 
Each of these serious crimes contributed to the increase in the percent- 
age of those acquitted or dismissed. Three out of every 10 murder 
defendants were either acquitted or their cases were dismissed at some 
prosecutive stage, about one-third of those charged with forcible rape 
were acquitted or had their cases dismissed and over one-third of the 
persons charged with aggravated assault won freedom through acquit- 
tal or dismissal. Acquittals and dismissals ran high in the Narcotic 
Drug Law violations which were up from 36 percent in 1964 to 38 
percent in 1965. A significant fact emerges — since 1962 acquittals 
and dismissals for the serious crmaes, as a group, have risen 14 percent. 

Not all persons arrested are turned over to the courts for prosecution. 
Some of the reasons for this are: failure of the victims to cooperate 
or testify in the prosecution, persons arrested are released with warn- 
ings, police determine the arrested person did not commit the offense 
and sufficient evidence is not obtainable to support either a formal 
charge or a subsequent prosecution. It is noted, for example, that 
nationally law enforcement agencies handle about 50 percent of the 
juveniles they arrest within their own agencies and release these young 



persons without preferring a formal charge or referring them to juvenile 
authorities. In this Program, all law enforcement agencies are urged 
to obtain and report final dispositions in cases involving persons they 
arrest. Tables containing this data commence on page 103. Included 
in these tables are juveniles (local age limit) who were arrested and 
turned over to juvenile authorities in connection with specific criminal 
acts. In using these figures keep in mind that police methods of 
handling juvenile offenders differ widely. 

In 1965 in the serious or Index crime categories 8 out of every 10 
persons arrested were formally charged by police. Of the adults who 
were charged for these Index offenses, 58 percent were found guilty as 
charged, 12 percent guilty of a lesser crime, and 30 percent were 
acquitted or their cases were dismissed. The highest percentage of 
persons found guilty on the original charge was in the larceny category 
where 70 percent of the defendants were convicted for larceny. This 
was followed by 54 percent conviction on the original charge for auto 
theft, 51 percent for robbery and burglary, 48 percent for murder, 
41 percent for aggravated assault and 40 percent for forcible rape. 
The offense showing the highest percentage conviction on a lesser 
charge was murder where one of every 5 defendants was convicted 
on some charge other than criminal homicide. The offense which had 
the highest percentage of acquittals and dismissals was forcible rape 
with 43 percent. Persons charged with larceny had their cases dis- 
missed or were acquitted least often— 24 percent of the time. In 45 
percent of the cases where formal charges were preferred the offense 
was referred to juvenile court jurisdiction. Juvenile referrals were 
highest for auto theft with 61 percent. Young persons were referred 
to juvenile court jurisdiction after being charged in 52 percent of the 
burglary cases, 45 percent of the larceny, 34 percent of the robbery, 
24 percent of the forcible rape, 15 percent of the aggravated assault 
and 7 percent of the criminal homicide. 

When all crime categories are reviewed, it is found convictions on 
original charges remained high in the offenses against public order 
and decency — driving while intoxicated, drunkenness, disorderly con- 
duct and vagrancy. Offenses of arson and vandalism recorded the 
greatest percentage of juvenile referrals. 

Mobility of the Offender 

As indicated in other pages of this publication, the mobility of the 
general population, and specifically the mobility of the criminal 
offender, influences crime rates from jurisdiction to jurisdiction — 
state, county and local. This factor of mobility has multiplied 
police problems in the control of crime and the performance of other 

23 



WASHINGTON, D. C. METROPOLITAN AREA 




OTHER 

MARYLAND 



OTHER 

VIRGINIA 



POPULATION, 2,389,000 
AREA, 1,485 SQUARE MILES 



FBI CHART 



Chart 7 



police services. Law enforcement agencies, particiilarh^ in suburban 
areas, have been experiencing sharp resident population increases 
without a proportional growth in police personnel. In 1965 suburban 
police agencies had an average of 1.2 police officers per 1,000 popula- 
tion, considerably^ below the national average. Add to this a constant 
flow of nonresident population from other parts of the metropolitan 
area, as well as the mobile criminal, and a greater strain is placed 
on the already madequate police strength in suburban communities. 
In an attempt to measure the mobility factor in a metropolitan 
area, the 17 municipal police agencies in the Washington, D.C., 
Standard Metropolitan Statistical Area cooperated with the FBI by 
furnishing information in a special survey conducted in the Fall 
(October-November) of 1964. Some highlights of this study are set 



24 



forth below. It is reasonable to assume that the experience of this 
metropolitan area would be very similar to that in other large metro- 
politan population centers. 

For all criminal acts, excluding traffic offenses, 15.3 percent of the 
persons arrested in the entire Washington, D.C., metropolitan area 
were nonresidents of the place where arrested. When drunkenness 
and disorderly conduct arrests were excluded, 17.3 percent of the 
offenders were nonresidents. For the crimes against the person — 
murder, forcible rape and aggravated assault — 10 percent of the per- 
sons arrested were nonresident offenders. While 9 percent of the 
robbery arrests were of nonresidents, 19 percent of the persons ar- 
rested for burglary, larceny and auto theft as a group were nonresi- 
dents of the community where the crimes were committed. 

These mobile offenders were primarily from some part of the metro- 
politan ai'ea (64 percent), although they traveled to another political 
subdivision of the area to commit their criminal acts. Fourteen per- 
cent came from a state other than Maryland and Virginia and the 
District of Columbia. Twenty-two percent were from Maryland or 
Virgmia but resided beyond the suburban fringe. 

The Maryland and Virginia suburbs of this metropolitan area ex- 
perienced proportionately a greater degree of criminal mobility than 
the large core city, Washington, D.C. In these suburbs 31 percent of 
all persons taken into custody were nonresidents of the community 
where arrested. For the crimes against the person 16 percent of the 
persons arrested were nonresidents. For the property crimes of 
burglary, larceny and auto theft 39 percent were nonresident offenders. 
In suburban robberies it was disclosed that over one-half were solved 
by the arrests of offenders who were nonresidents of the community 
where the crime occurred. 

These mobile offenders by sex were 91 percent male and 9 percent 
female. The nonresident female offenders were arrested primarily on 
charges of larceny, assault, drunkenness and disorderly conduct. A 
percent distribution by age group and type of offense of these mobile 
offenders for the entire metropolitan Washington, D.C, area is set 
forth below. 



Nonresident Offender — Percent Distribution by Age Group and Type of Offense 



Type of offense 


Under 

18 


Under 
20 


20-24 


25-29 


30-34 


35-39 


40-44 


45-49 


50 and 
over 


Violent crimes (murder, 
forcil)le rape, robbery, ag- 
gravated assault) 


9.1 

17.7 

1.6 
14.0 


16.7 
30.7 

9.5 

27. 1 


34.1 

22.9 

21.9 
16.3 


9.8 

12.7 

12.0 
9.8 


10.6 

12.0 

11.0 
11.7 


11.4 

8.0 

11.1 
12.6 


9.1 

7.0 

11.9 
9.4 


3.8 

2.5 

9.2 
4.3 


4 5 


Property crimes (l:)urglary, 
larceny, auto theft) 

Drunkenness and dis- 
orderly conduct 

Other offenses 


4.2 

13.4 

8 9 






Total, less drunken- 
ness and disorderly 
conduct 


14.8 


27.2 


20.9 


10.8 


11.7 


10.8 


8.5 


3.6 


6.7 



•25 



221-746' 



66- 



Victim 

The increasing mobility of the general population, particularly 
within a metropolitan area, also places greater demands on police 
protection needs. Crime and police employee rates in this publication 
are based on permanent or resident population figures since transient 
population counts are not available. However, the constant flow of 
nonresident population within and through metropolitan areas, 
particularly by means of the automobile, is a factor for consideration 
in establishing police needs in each community. 

This survey in the Washington, D.C., metropolitan area revealed 
that 21 percent of the victims were nonresidents of the community 
in which the crime was committed. Specifically, in crimes against 
the person 15 percent of the victims were nonresidents and 22 percent 
of the robbery victims did not reside in the community where victim- 
ized. With respect to the crimes against property, particularly 
larceny and auto theft, 30 percent of the victims were nonresidents. 
There were proportionately more nonresident victims of property 
crimes in the large city, Washington, D.C., than suburbia, 35 per- 
cent versus 20 percent. Transient victims of robbery were also higher 
in the large city, 22 percent, compared with 14 percent in the suburbs. 
For the crimes against the person, nonresident victims were in the 
same proportion in both the large city and the suburbs. 

There is set forth below a comparison based on averages relating 
victims and offenders by age, sex, mobility and tjpe of crime. 



Comparison of victim and offender- 


-age. 


sex an 


d mobility by type of 


Crime 




Victim 


Offender 




Aver- 
age 
age 


Percentage 


Aver- 
age 
age 


Percentage 




Sex 


Resi- 
dent 


Non- 
resi- 
dent 


Sex 


Resi- 
dent 


Non- 




Male 


Female 


Male 


Female 


resident 


Crimes against person 
(murder, forcible rape 
and aggravated assault) . . 

Robbery 


31 
34 

38 


57 

77 

75 


43 
23 

25 


85 
78 

70 


15 

22 

30 


31 
20 

23 


86 
98 

94 


6 


88 
91 

85 


12 
9 


Crimes against property 
(burglary, larceny and 
autotheft) 


15 







A review of this table indicates victims are older than offenders 
except for crimes against the person, particularly murder and aggra- 



26 



vated assault. Offenders are primarily male. This is true also of 
victims, although in crimes against the person the percentage of males 
is only slightly more than half. The nonresident is victimized most 
frequently by robbery or other forms of theft. 

The above material was gathered on the basis of police solutions 
of crime. It is reasonable to assume that a greater proportion of 
unsolved crimes are committed by mobile offenders. This is par- 
ticularly true for the crimes against property. It is also the property 
crimes which result in fewer clearances. 

Although we have highlighted here the mobility of the offender 
in the metropolitan area, it is clear that the vast majority of offenders 
and victims of crime are of local concern. The need for police to 
centralize criminal information is, therefore, apparent. This is 
especially true in view of the repeater and the extent to which he 
contributes to crime. 

Careers in Crime 

At the close of calendar year 1965 the criminal histories of 134,938 
individual offenders had been entered into a study of criminal careers 
which was initiated by the FBI in January, 1963. This program and 
the publication of this material are made possible through the coop- 
erative exchange of criminal fingerprint data among local, state and 
Federal law enforcement agencies which submit criminal fingerprint 
cards to the FBI's Identification Division on persons whom they 
arrest. There is a lack of uniformity in submissions made by all law 
enforcement agencies for all criminal charges but, generally, it is the 
practice to submit a criminal fingerprint card on all serious crimes, 
felonies, and certain misdemeanors. On the Federal level almost all 
arrested persons are fingerprinted by the arresting Federal agency, 
United States Marshals and/or the Bureau of Prisons. 

Using this positive means of identification it is possible to obtain 
the criminal history of an offender. This history is limited, of course, 
to the extent that the offender is detected, arrested, a fingerprint 
card submitted at arrest and a disposition is furnished for the arrest. 
The fingerprint files of these known offenders are ''flashed" in the 
FBI Identification Division thus providing a means of follow-up with 
respect to their future criminal involvement. Additional information 
received on these persons is added to the record which has been 
previously stored on magnetic tape. For the most part, these offenders 
are persons who have been arrested on a Federal charge in 1963, 1964 
or 1965, parolees, persons on probation, serious state violators arrested 



27 



as fugitives under the Fugitive Felon Act, plus local violators who com- 
prise about 25 percent of the total. Chronic violators of the immigra- 
tion laws and those whose criminal fingerprints are submitted by the 
military are not included in the tabulations. The data which follows 
is based on an analysis of the criminal activity of offenders on whom 
fingerprint cards were received from January 1, 1963, to December 31, 
1965. 

For the 134,938 offender records which have been processed, 3 out 
of every 4 were repeaters; that is, they had a prior arrest on some 
charge. This entire sample had an average criminal career of more 
than 10 years (span of years from first to last arrest) during which 
they averaged 5 arrests, 2.4 convictions and 1.5 imprisonments. 
Disposition data is two-thirds complete for felonies but more incom- 
plete for the misdemeanors or minor offenses. Leniency in the form 
of probation, suspended sentence, parole and conditional release had 
been afforded to 51 percent of the offenders. After the first leniency 
this group averaged more than 3 new arrests. The group granted 
leniency had, on the average, a criminal career extending over 12 
years and they accumulated approximately seven arrests each. 

The mobihty of these 134,938 offenders reveals that slightly over 
52 percent were arrested in one state, 25 percent in two states and 22 
percent in thi'ee or more states. A distribution by sex indicates that 
93 percent were males and 7 percent females. By race, 70 percent 
were white, 27 percent Xegro and 3 percent all other. 

The following table sets forth a distribution by age group in 1965, 
a distribution by age at first arrest and mobility by age gToup. 

Table A. — Distribution by Age Group 



Age group 


Age. 1965 


Age at first arrest 


Number 


Percent 


Number 


Percent 


Under 20 


6,322 
25, 984 
25, 151 
37, 969 
24, 044 
15,468 

134,938 


4.7 
19.3 
18.6 
28.1 
17.8 
11.5 


52, 023 
37,206 
17,307 
17,145 
7,421 
3,836 


38.6 


20-24 

25-29 


27.6 
12.8 


30-39 

40^9 


12.7 
5.5 
2.8 






Total 


100.0 


134. 938 


100.0 



Distribution by Mobility 



Age group 


Arrests in 1 
state 


Arrests in 2 
states 


Arrests in 3 or 
more states 


Under 20 . . 


Percent 

72.8 
57.0 
50.6 
47.4 
48.4 
55.8 


Percent 

22.8 
29.9 
27.2 
25.2 
22.3 
21.2 


Percent 

4.4 


20-24— . _ 


13.1 


25-29 

30-39 


22. 2 
27.4 


40-49 


29.3 


50 and over 


23.0 






Total 


52.2 


25.4 


22.4 



'2S 



This sample of almost 135,000 individual criminal records is pri- 
marily made up of Federal offenders in the sense that it was their 
involvement with the Federal process which brought them into the 
program. Keep in mind, however, that most of the Federal crimes 
as defined by statute are also local in nature. These violators are 
generally the serious offenders and, therefore, likely repeaters since 
it is not police practice to submit fingerprint cards on minor or petty 
crimes. 

Profiles 

Table B, Profile of Known Repeaters by Type of Crime, provides 
pertinent information for comparative purposes. It suggests the 
extent to which the repeater contributes to our crime counts year 
in and year out. The group of offenders making up Table B are 
repeaters; that is, they have been arrested at least twice and were 
selected by type of crime based on their last charge. The average 
age of these offenders ranged from 27 years for the auto thief to 45 
years for the gambler. For the auto thief who repeated in that 
offense, the average age at first arrest for auto theft was 23 and the 
gambler 40 years of age. Again, the extreme ranges of average 
age at first arrest for any offense were the gambler 31, and the auto 
thief, robber, and burglar 20 years of age. Since fingerprint cards are 
not submitted with any degree of consistency on juvenile arrests, the 
average age at first arrest is influenced upward. 

Criminal careers of these offenders ranged from 13 years for the 
gambler to 6 years for the more youthful auto thief and rapist. How- 
ever, averages indicated that the burglar, auto thief and robber had 
the highest rate of relocating in the serious crime categories. More 
than half of the crimes committed by these offenders were of the Crime 
Index type; namely, murder, forcible rape, robbery, aggravated assault, 
burglary, larceny and auto theft. 

Repeating in the same crime was highest for the narcotic offender 
53 percent, the burglar 48 percent, the gambler 47 percent, and the 
bogus check offender 40 percent. Thirty-six percent of the auto 
thieves repeated in auto theft during the course of their criminal 
careers and 33 percent of the robbers repeated in robbery. For the 
crimes against the person — murder, rape and felonious assault — the 
rate of repeating in the same crime is considerably lower than for the 
property offenses. 

The frequency of leniency action in the form of probation, suspended 
sentence or parole ranged from 38 percent for the murderers to 55 
percent for the burglars. Like the burglar, 54 percent of the bogus 
check offenders also had leniency; yet, both of these criminal types 
have a high rate of repeating and, repeating in the same offense. The 

29 



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30 



auto thief, bogus check offender and the narcotic violator had tf. 
highest proportion of leniency for specific charges. 

The forger, the auto thief, the burglar and the robber recorded the 
highest mobility with over 30 percent having been arrested in 3 or 
more states during the course of their criminal careers. 

Follow- up 

The first results of follow-up since this program was initiated in 
January, 1963, are set forth in Table C below. The 6,907 offenders 
in this tabulation represent criminal offenders who were released to 
the street between January and June, 1963. They were released 
either by probation, suspended sentence, parole, fine or acquittal 
and dismissal. By the posting of ''flash'' notices in the criminal 
identification records of these offenders, arrests for new crimes were 
added to each record when received through the submission of a 
fingerprint card. The cutoff date on follow-up was June, 1965; 
therefore, the experience reported below covers a two-year period. 
Age was computed at time of entry into the program in 1963. As a 
group, 48 percent of these offenders were arrested for new crimes 
within two years — namely between June, 1963, and June, 1965. 



Table C — Repeaters By Age Group 

[Two-year follow-up] 



Age 


Total 


Nonrepeaters 


Repeaters 




Number 


Percent 


Number 


Percent 


Under 20 


871 
1,565 
1,118 
1,620 
1,069 

664 


365 
664 
511 
869 
678 
503 


41.9 
42.4 
45.7 
53.6 
63.4 
75.8 


506 
901 
607 
751 
391 
161 


58.1 


20-24 


57.6 


25-29 


54.3 


30-39 


46.4 


40-49 


36.6 


50 and over 


24.2 






Total all ages 


6,907 


3,590 


52.0 


3,317 


48.0 



When the above records are examined by type of offense for which 
charged at time of release to the street, it was found that 59 percent 
of the burglars, 70 percent of the auto thieves and 64 percent of the 
robbers repeated. Of those charged with theft 45 percent repeated, 
as did 65 percent of the narcotic offenders and 49 percent of the forgers. 



Police Employee Data 

Tables are set forth commencing on page 148 of this publication 
which contain information on average police strength by geographic 
division and population group, percent civilian employees, law en- 
forcement officers assaulted and killed in the line of duty and indi- 

31 



vidual city listings of police emploj-ees for cities with over 2,500 
population which made their figures available. 

The year 1965 witnessed no change in the national police employee 
rate for all cities when compared with 1964. The average rate of 1.9 
police employees per 1,000 population (including civilian personnel) 
has been relatively constant since 1958 despite the rapidly rising 
incidence of crime and the growing frequency in the number of 
requests for police service. Many departments are below this 
average, however, when arrayed it is found that one-half of the de- 
partments have a police employee rate of 1.4 per 1,000 population or 
less. Due to the fact that on the average 85 to 90 percent of the total 
police budget is for salaries, it is incumbent on the law enforcement 
administrator to insure he is utilizing available manpower in the most 
efficient and effective way. 

A table is offered this year (Table 44) which, for the first time, 
provides figures as to the average police employee ratio using only 
sworn police personnel as a base. It will be noted the national 
average decreases to 1.7 per 1,000 population when civilian employees 
are eliminated from the tabulations. There exists a healthy and 
growing trend among law enforcement agencies to utilize civilian 
employees in clerical and other nonpolice jobs which releases sworn 
personnel for patrol and other enforcement functions. Efforts in this 
direction are important at any time, but particularly now when 
recruiting acceptable officer candidates is difficult. 

Crime in the suburbs continues to increase at a more rapid pace 
than in the large cities, yet the national police emplo3^ee ratio for 
suburban areas of 1.4 is well below the average for all cities. This 
figure is reduced to 1.2 w^ien civilian personnel are excluded. When 
arrayed by quartile, it is found that at least 50 percent of the cities in 
this group had police employee rates ranging from 1.0 to 1.6. 

The average employee rate for sheriffs' departments is 1.0, but 
drops to less than one (0.8) when only sworn personnel are con- 
sidered. When quartiles are used the rates range from 0.3 to 0.9 
per 1,000 population for 50 percent of the departments. 

It must be recognized that the law enforcement responsibilities 
of sheriffs' departments differ considerably in various sections of the 
United States. In some jurisdictions for example the sheriffs' 
activities are limited in large part to civil functions. The depart- 
ments used in computing rates, however, are all engaged in full- 
scale police activity and are responsible for all phases of law en- 
forcement in their jurisdictions. In using these rates caution must 
be exercised because of the variations in the nature and extent of 
the duties performed by the sherift'. 

Any attempt to measure police activity on the basis of a broad 
collection of data can at best be a rough yardstick. Police workloads 

32 



do vary geographically by volume and type of activity. The tabula 
tion below shows the number of reported Crime Index offenses, 
criminal arrests made, and traffic charges issued per sworn police 
officer by geographic region. It is based on 1965 calendar year data. 
This indicates a high rate of activity for the police officer in the 
Western States followed by the Southern and North Central States 
and a comparatively low activity rate in the Northeastern States. 



Annual number per 


officer (geographic region) 




Police Activity 


North- 
eastern 


North 
Central 


Southern 


Western 


Crime Index offenses reported. 

Drunkenness and disorderly conduct arrests 

Other arrests (criminal) 


6.5 
3.8 
6.4 
130 


10.0 

8.7 
15.8 
244 


11.3 
21.5 
22.1 
244 


15.8 
14.7 
21 1 


Traffic charges issued 


322 







The police employee strengths of State Police and State Highway 
Patrol organizations are set forth in Table 48. In addition, this table 
provides information concerning the miles of prmiary highway and 
the number of state motor vehicle registrations per sworn employee 
by state. 

Figures with respect to average police strength, as well as rates 
which are set forth in Tables 43 and 44, are supplied as a guide and 
must not be interpreted as representing desirable or recommended 
police strength. A careful analysis must be made of the various 
factors which contribute to the need for police service in a given 
community before a determination can be reached with regard to 
adequate manpower requirements. 

Police Killed 

The number of law enforcement officers murdered in the line of 
duty in 1965 dropped slightly from 1964. There were 53 police 
victims in 1965 whereas there were 57 officers murdered in 1964. 
With the addition of these 53 deaths the total number of police killings 
increased to 278 for the six-year period 1960-1965. In 1965 there 
were 30 additional deaths of law enforcement officers as a result of 
accidents in the line of duty, most of which were automobile or 
motorcycle fatalities. 

Effecting arrests and transporting prisoners continue to carry the 
greatest risk for police as evidenced by the fact that 30 percent of the 
278 men murdered over the six-year period were engaged in handling 
these police functions. In fact, 42 percent of the 53 police killed in 
1965 were making arrests or were transporting prisoners who had 
been apprehended. A further analysis of the type of activity in which 
the 278 officers were involved discloses 21 percent were answering 
disturbance-type calls, such as family quarrels, man with a gun, etc., 
while 20 percent were murdered when they interrupted a robbery in 

33 



POLICE EMPLOYEE DATA 

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



BY POPULATION GROUPS, DECEMBER 31, 1965 



7.8 



5.4 



4.2 




AV. 

1.4 


AV. 
2.6 

1.0 




3.8 


c 




AV. 

1.5 

.6 




d.U 






2.8 






AV. 

1.5^ 

.2 






AV. 
1.7 




.9 


.2 

















AV. 

1.5 



.2 



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 8 



3-1 



progress or were pursuing robbery suspects. Interrupting burglarie 
in progress or pursuing burglary suspects accounted for 12 percent 
of the deaths, investigating suspicious persons and circumstances 11 
percent and 17 men or 6 percent were murdered in unprovoked attacks 
by berserk or mentally deranged or disturbed individuals, a number 
of whom had prior histories of mental disorders. In the following 
table, police murders are distributed by geographic region and by 
type of activity in which the officers were engaged. 

Police Killed by Geographic Region and Type of Activity 1960-1965 



1. Responding to "disturbance" calls 

(family quarrels, man with gun, etc.) 

2. Burglaries in progress or pursuing 

burglary suspects 

3. Robberies in progress or pursuing 

robbery suspects 

4. Attempting other arrests and trans- 

porting prisoners 

5. Investigating suspicious persons and 

circumstances 

6. Berserk or deranged person (no warn- 

ing-unprovoked attack) 

Total 



North- 
east 



North 
Central 



19 



South 



126 



West 



50 



Total 



Number Percent 



58 
33 
55 

84 
31 

17 

278 



100 



In 1965 all but one of the 53 officers died from wounds inflicted by 
firearms — 32 were victims of handguns, 13 were killed by use of 
shotguns and 7 by rifles. Since 1960 firearms have been used in 
96 percent of the murders of police officers in the line of duty and of 
those killed by firearms, 78 percent were murdered with handguns. 
The median period of police service for officers slain since 1960 re- 
mained at 6 3"ears. Ten percent of the murdered officers had been 
employed in law enforcement one year or less, 59 percent had 5 or 
more years of police experience and almost one-third were veterans 
of 10 years or more service. 

Police officers on car patrol contributed the heaviest toll to those 
murdered in 1965 with a total of 37 deaths. This is typical of the 
six-year period during which time 186 of the deceased officers were 
assigned to car patrols, 24 were on foot patrol, 48 were detectives or 
were assigned duties of a specialized nature and 20 were technically 
off duty. The latter became involved in the incidents which resulted 
in their deaths by attempting to prevent a crime occurring in their 
presence. 

During 1965, 27 of the officers who died from criminal action were 
being assisted at the time of the incident by a fellow officer while 26 
were alone. During the six years for which these figures have been 
accumulated 123 officers died while operating alone, whereas 155 
were receiving assistance at the scene when they were killed. 



35 



In studying police deaths in cities where department pohcy is 
known with respect to use of one-man patrol cars, two-man patrol 
cars or combinations of 1 and 2-man patrol cars, it is found that 87 
officers lost their lives in 69 cities over the 6-year span under con- 
sideration. Forty-five (52 percent) of these men were assigned to 
two-man car patrols, while 42 (48 percent) were assigned to one-man 
cars. In carrying this analysis a step further it is found that in 22 
of the 42 incidents where the police victim was assigned to a one-man 
car, the lone officer was receiving assistance from fellow officers at 
the scene of the crime. It is thus determined that of the 87 deaths, 
officers were being aided at the scene in 77 percent of the cases and 
were alone at the scene in 23 percent of the cases. In those cities 
which used combinations of 1 and 2-man patrol cars there Avere 36 
murders reported where the officers were engaged in two-man car 
operations and 25 where one-man cars were in use. 

During 1964, the latest year for which figures are available, there 
was a slight 3 percent upward trend in the number of cities using only 
one-man cars. There was a corresponding 3 percent decrease in the 
number of cities using combinations of one and two-man cars. The 
number of cities using two-man cars exclusively remained at 5 percent 
of the total reporting cities, unchanged from the preceding year. 

A table is presented this year which indicates the type of police 
duty to which murdered officers were assigned, as well as the type 
of police activity in which they were engaged at the time they were 
murdered. These figures disclose the highest incidence of police 
deaths resulted when the law enforcement officers who were assigned 
to one-man patrol cars attempted to make arrests or transport pris- 
oners. The second most frequent set of circumstances surrounding 
these deaths occurred among officers assigned to two-man car patrols 
who were responding to disturbance calls including such things as 
family quarrels, man with a gun, etc. This category was followed 
closely by deaths of police officers assigned to two-man patrol cars 
who were making arrests or transporting prisoners. It should be 
noted in studying these figures that, as indicated above, many of the 
officers assigned to one-man patrol cars and foot patrol were receiving 
assistance on the scene from fellow officers at the time of the fatal 
attacks. 

During the six-year period for which statistics have been maintained 
there have been 362 persons involved as offenders in the 278 murders. 
When accounting for these 362 persons, it is found that 304 were 
arrested, 43 were slain justifiably by police at the time of the incident 
or shortly thereafter, 13 committed suicide, 1 died a natural death 
and 1 drowned before being taken into custody. 

36 



POLICE KILLED BY FELONS 

BY TYPE OF POLICE ACTIVITY 
1960--1965 



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



BURGLARIES IN PROGRESS, OR 
PURSUING BURGLARY SUSPECTS 



ROBBERIES IN PROGRESS, OR PURSUING 
ROBBERY SUSPECTS 



ATTEMPTING OTHER ARRESTS AND 
TRANSPORTING PRISONERS 



INVESTIGATING SUSPICIOUS PERSONS 
AND CIRCUMSTANCES 



BERSERK OR DERANGED PERSONS 
(No warning - unprovoked attack) 



58 
21% 






33 
12% 










55 
20% 





84 
30% 



31 
11% 



17 
6% 



278 POLICE KILLED 

INCLUDES CITY, COUNTY, AND STATE POLICE 



FBI CHART 



Chart 9 



Police Killed by Felons, 1960-1965 





Two- 
man 
cars 


One-man cars 


Foot 


Detective 
and special 
assign- 
ment 


Off 
duty 


Total 




Alone 


Assisted 




1. Responding to "disturbance" calls___ 

2. Burglaries in progress, or pursuing 


28 
12 
10 
21 
7 
4 


9 

12 
14 
32 
14 

2 


7 
1 
5 
6 
1 
] 


4 
1 
5 
6 
3 
5 


8 

12 

15 

5 

1 


2 

9 
4 
1 
4 


58 
33 


3. Rol)beries in progress, or pursuing 


55 


4. Attempting otlier arrests and trans- 


84 


5. Investigating suspicious persons and 


31 


6. Berserk or deranged person (No 
warning— unprovolted attack) 


17 


Total 


82 


*83 


21 


24 


48 


20 


278 







*51 city police officers, 32 county and state police officers. 

When an examination is made of the prior criminal histories of 
those involved, it is found that 76 percent had been arrested on 
some criminal charge prior to the time they became participants 
in the police murders and, of even more significance, over one-half 
of this group had been previously arrested for assaultive-type crimes 
such as rape, robbery, assault with a deadly weapon, assault with 
intent to kill, etc. In fact, the records disclose 9 individuals had 
been charged on some prior occasion with an offense of murder. 



37 



Seven of these had been paroled on the murder charge, one was an 
escapee having fled confinement while serving time for murder, and 
one was an escapee who fled while awaiting trial for murder. Sixty- 
eight percent of the 362 persons who were responsible are known 
to have had prior convictions on criminal charges and more than 
two-thirds of this group had received leniency in the form of pro- 
bation or parole on at least one of these convictions. Alore than 
1 of every 4 of the murderers was on parole or probation when he 
killed a police officer. 

The murderers of police officers ranged in age from a boy of 14 
to a man of 73. The median age was 27. Seventeen of the slayers 
were under 18 years of age at the time they committed the offense, 
40 were in the 18-20 year age group and 99 were in the 21-25 year 
bracket. Twenty-two were over 50 years of age when they murdered 
a police officer and the heaviest age concentration lies in the 20 
to 30 age span with the highest frequency being found at age 25. 

The national rate for assaults on law enforcement officers in 1965 
was 10.8 assaults for every 100 officers. While these assaults did 
not always result in personal injury to the officer- victim, in approxi- 
mately one-third of these assaults the officer did suffer physical harm. 
Further details relating to assaults on police by geographic division 
and population group can be found in Table 47. Briefly, this table 
discloses the highest overall assault rate was in the East South Central 
States with 18.3 assaults per 100 police officers. This was followed by 
the South Atlantic States with a rate of 17.8, the Mountain States 
12.9, and the Pacific States 10.8. The rate in each of the other geo- 
graphic divisions was slightly below the national average. 




51am Ettforr^m^nt (^aht of Etiitrs 

Ah a Kam ^niammmt ®ff ir^r. m^ funJumeniaf Jui^ u lo 

serve ntanhina; to Aafe^uara liueA ana propertu; to protect the innocent aaaindt 
deception, the weak aaaindt oppression or intimidation, and tne peaceful 
against violence or disorder; and to respect the (constitutional riahts of all 
men to lioertu, ee^uaiitu and justice, 

11 iUlii heep m^ private life unsullied as an example to ail; maintain coura- 
aeouS calm in tne face of- danaer. Scorn, or ridicule; develop Self-restraint; and 
be constantiu mindful of tne welfare of otnerS. ..J^onest in tnouaht and deed 
in both mu personal and oj-ficiai lij-e, ^ will be exempiaru in obeuina tne laws 
of tne land and tne regulations of mu department. lAJnatever ^ See or hear of 
a confidential nature or that is confided to me in mu official capacitu will be 
Kept ever secret unless revelation is neceSSaru in tne performance of mu dutu. 

ll iUtii never act officiousiu or permit personal feeiinas, prejudices, animos- 
ities or friendsnips to influence mu decisions. vUitn no compromise for crime 
and witn retentless prosecution of criminals, Jj" will enforce the law courteoustu 
and appropriateiu without fear or favor, malice or ill will, never emplouina. 
unnecessaru force or violence and never acceptina aratuities. 

It IT^rOj^tttHi^ the badae of mu office as a Sumbol of public faith, and 
^ accept it aS a public trust to be held So long, as Jt^ am true to the ethics of 
the police Service. .^ will constantiu strive to achieve these objectives and ideats, 
dedicating ntuSeif before \-Jod to mu chosen profession . . . law enforcement. 

InUrnnlionBl A»toci«Uon of Chiefs of Police. Inc. 

39 



Introduction 

Background 

The Uniform Crime Reporting Program is the outgrowth of a need 
for a national and uniform compihition of pohce 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. 

The Committee on Uniform Crime Records at its April, 1965, 
meeting reaffirmed the purpose and objectives of the Uniform Crime 
Reporting Program. Briefly, the Committee approved a more 
refined collection of robbery by type, a revision in the larceny classifi- 
cation, a special nationwide survey on sex offenses, restated its 
position with regard to the definition of auto theft, and the format 
utilized in the publication of crime statistics. 

The Committee at the foregoing meeting and also during the 
course of the October, 1965, meeting discussed the need to further sub- 
divide a number of the broad crime classifications utilized in the 
Program. A detailed breakdown of larceny by type of theft was 
developed and introduced as a collection item beginning in January, 
1966. While this breakdown of the larceny classification provides 
for a better understanding of the nature of this offense, it will also 
serve to identify types of theft which could be utilized as a Crime 
Index category. The dollar valuation of larceny as presently used 
would be eliminated in favor of a collection of larceny by type without 
regard to the value of property stolen. The experience gained from 

221-746"— 66 4 -11 



this nationwide collection of larceny by type in 1966 will greatly 
assist in making a determination with respect to this crime 
classification. 

Committees on Uniform Crime Reporting within state law enforce- 
ment associations are active in providing service by promoting 
interest in the Uniform Crime Reporting Program, fostering more 
widespread and more intelligent use of uniform crime statistics and 
by lending assistance to contributors when the need exists. 

Objectives 

The fundamental objective of this Program is to produce a reliable 
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, fiuctuation 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 b}^ police arrests. (3) Since the 
above are also measures of law enforcement activity, related data is 
collected to demonstrate effectiveness of enforcement activities, 
available police strength and significant factors involved in crime. 

Reporting Procedure 

Under this national voluntary system each contributing law 
enforcement agency is wholly responsible for compiling its own crime 
reports for submission to the FBI. Each contributor is supplied with 
the Uniform Crime Reporting Handbook which outlines in detail 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. 

The publication of the Uniform Crime Reporting '^Newsletter," 
which was initiated in October, 1963, has continued with issues being 
published when pertinent. This ''Newsletter" is utilized to explain 
revisions in the Program as well as to present information and instruc- 
tional material to assist contributors. 

Recognizing that a sound records system is necessary if crime 
reporting is to meet desirable standards, the FBI furnishes a Manual 
of Police Records to law enforcement agencies upon request. Special 

42 



Agents of the FBI are widely utilized to encourage new contributors 
and to assist them by explaining the procedures and definitions 
necessary under this uniform system. 

On a monthly basis, city police, sheriffs and state police report the 
number of offenses that become known to them in the following crime 
categories: criminal homicide, forcible rape, robbery, assault, burglary, 
larceny, and auto theft. This count is taken from a record of all 
complaints of crimes received by the police from victims or other 
sources or discovered by the police in their own operations. Com- 
plaints determined by police investigation to be unfounded are elimi- 
nated from this count. The number of ^'offenses known" in these 
crime categories is reported to the FBI without regard to whether 
anyone is arrested, stolen property is recovered, local prosecutive 
policy, or any other consideration. Police agencies report on a 
monthly basis the 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 
are collected annually, including the number of police killed and 
assaulted. 

Reporting Area 

During the calendar year 1965, crime reports were received from 
law enforcement agencies representing 97 percent of the total United 
States population living in standard metropolitan statistical areas, 
89 percent of the population in other cities, and 75 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 the Bureaus of 
the Budget and Census for standard metropolitan statistical areas and 
other cities. There is, however, some deviation insofar as the rural 
area is concerned. For crime reporting purposes rural is generally the 
unincorporated portion of a county outside of standard metropolitan 
statistical areas. In addition, sheriffs' departments or state police 
agencies frequently provide coverage for small incorporated com- 
munities which do not provide their own police service. These places 

43 



are characteristically more rural than urban, thus the crime counts 
for these places are included in the rural tabulations. In addition, 
statistics are presented in certain tables relative to "suburban'' areas. 
A suburban area consists of cities with 50,000 or less population to- 
gether with counties which lie within a standard metropolitan statisti- 
cal area. In this use of suburban the core city experience is, of 
course, excluded. The suburban area concept is used because of the 
peculiar crime conditions which exist in these communities surround- 
ing 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. 

Standard metropolitan statistical areas are generally made up of an 
entire county or counties having at least one core city of 50,000 or 
more inhabitants, with the whole meeting the requirements of certain 
metropolitan characteristics. In New England, ''town" instead of 
''county" is used to describe standard metropolitan statistical areas. 
These towns do not coincide generall}^ with established crime re- 
porting units; therefore, metropolitan state economic areas in New 
England are used in this area tabulation since the^^ encompass an 
entire county or counties. Standard metropolitan statistical areas 
make up an estimated 67 percent of the total United States pop- 
ulation. 

Other cities are urban places outside standard metropolitan statis- 
tical areas. Most of these places of 2,500 or more inhabitants are 
incorporated and comprise 12.6 percent of the 1964 estimated popu- 
lation. Bural areas are made up of the unincorporated portion of 
counties outside of urban places and standard metropolitan statistical 
areas and represent 20.4 percent of our national population. Through- 
out this Program, sheriffs, county police and man^^ state police re- 
port on crimes committed within the limits of the county but outside 
cities, while police report on crimes committed within the city limits 
(urban places). 

Verification Processes 

Uniformity of crime data collected under this Program is of primary 
concern to the FBI as the national clearinghouse. With 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 

44 



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 1965 
17,101 letters were addressed to contributors primarily as a result of 
verification and evaluation processes. Correspondence with con- 
tributors is the principal tool for supervision of quality. Not only 
are the individual reports studied, but also periodic trends for indi- 
vidual reporting units are prepared, as are crime rates in descending 
order for all units grouped for general comparability to assist in de- 
tecting variations and fluctuations possibly due to some reason other 
than chance. For the most part, the problem is one of keeping the 
contributors informed of the type information necessary to the success 
of this Program. 

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

Uniform Crime Reporting has been taught to all law enforcement 
officers attending the FBI National Academy. The Academy was 
established in 1935, and there are 2,972 graduates who are still in law 
enforcement, over 27 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 misimderstanding. 

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. 



45 



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 1965 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 unreported portion 
had the same proportionate crime experience as that for which reports 
were received. In lieu of figures for the entire year from those 
agencies, 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- 
lations.. On the other hand, crime rate tables by state and standard 
metropolitan statistical area contain the most reliable reports available 
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 computing crime rates by state, geographic division, and the 
Nation as a whole, population estimates released by the Bm^eau of 
the Census on August 27, 1965, 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 
1965 population estimates for individual cities and comities were used 

46 



from 14 states while official sources in other states provided limited data 
which was used selectively. The estimated United States population 
increase in 1965 was 1.3 percent over 1964 according to figures pub- 
lished 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 homi- 
cides 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 
felony by a private citizen. (6) Manslaughter by negligence: any 
death which the pohce investigation estabfishes 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 infiicting 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, 

47 



even though no force was used to gain entrance and attempts. Bur- 
glary 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, an3'thing false which is made to 
appear true. Includes attempts. 

11. Fraud. — Fraudulent conversion and obtaining mone}" or prop- 
erty b}^ 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, possessmg. — Buying, 
receiving, and possessing stolen propertj^ and attempts. 

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

15. Weapons; carrying, possessing, etc. — All violations of regu- 
lations or statutes controlling the carrying, usmg, 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 mi- 
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. 

48 



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 hquor hiw 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 speciflc ofl'ense and released without 
formal charges being placed. 

28. Curfew and loitering laws (juveniles). — Ofl'enses relating to 
violation of local curfew or loitering ordinances where such laws exist. 

29. Runaway (juveniles). — ^Limited to juveniles taken into pro- 
tective custody under provisions of local statutes as runaways. 



40 



The Index of Crime, 1965 

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

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

It is important to remember in reviewing the tables in this section 
that the volume of crime in a state or standard metropolitan sta- 
tistical area is subject to the factors set forth on page vii. Estimates 
of current permanent population are used to construct crime rates. 
With our highly mobile population all communities, metropolitan 
areas and states are aft'ected to a greater or lesser degree by the element 
of transient population. This factor is not accounted for in crime 
rates since no reliable estimates are available nationwide. 



50 



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51 



Table 2. — Index of Crime by Regions., 

[Number and rate per 100,000 inhabitant'^; 



Area 



United States Total K 
Percent change.. 



Northeast _ 



Percent change- 
New England 



Percent change- 
Connecticut 



Maine 

Massachusetts... 
New Hampshire- 
Rhode Island 

Vermont 



Middle Atlantic- 



Percent change- 
New Jersey 



New York 

Pennsylvania. 

North Central 



Percent change 

East North Central ,- 

Percent change--, 
Illinois 



Indiana 

Michigan 

Ohio 

Wisconsin 

West North Central . 

Percent change.. 
Iowa 



Kansas. 



Minnesoti 
Missouri - 



Nebraska . 



North Dakota- 



South Dakotf 



South. 



Percent change. 
South Atlantic 3_. 



Percent change. 
Delaware 



Year 



1964 
1965 



1964 
1965 



1964 
1965 
1964 
1965 
1964 
1965 
1964 
1965 
1964 
1965 
1964 
1965 

1964 
1965 



1964 
1965 
1964 
1965 
1964 
1965 

1964 
1965 



1964 
1965 



1964 
1985 
1964 
1965 
1964 
1965 
1964 
1965 
1964 
1965 

1964 
1965 



1964 
1965 
1964 
1965 
1964 
1965 
1964 
1965 
1964 
1965 
1964 
1965 
1964 
1965 

1964 
1965 



1964 
1965 



Population 



191, 334, 000 
193, 818, 000 



2, 614, 223 
2, 780, 015 
+6.3 



47,125,000 
47, 526, 000 



11,070,000 
11,159,000 



2. 766. 000 

2. 832, 000 

989, 000 

993, 000 

5. 338. 000 

5, 348, 000 

654, 000 

G69. 000 

914, 000 

920. 000 

409. 000 

397. 000 



36, 055, 000 
36, 367. 000 



6. 682, 000 
6. 774. 000 
17,915,000 
18, 073, 000 
11,459,000 
11,520.000 



53, 370, 000 
54,014,000 



37, 619, 000 
38, 137, 000 



10, 489, 000 
10, 644, 000 
4, 825, 000 
4,885.000 
8, 098. 000 
8, 218, 000 
10,100.000 
10. 245, 000 
4, 107. 000 
4. 144. 000 



15,751,000 
15. 876, 000 



2, 756, 000 
2, 760, 000 
2, 225, 000 
234, 000 
521,000 
554. 000 
409, 000 
497, 000 
480. 000 
477, 000 
645, 000 
652. 000 
715.000 
703. 000 



59, 252, 000 

60, 049, 000 



28,311,000 
28, 714, 000 



1964 
1965 

See footnotes at end of table. 



491,000 
505, 000 



Total offenses 



Number Rate per 
100,000 




1, 366. 3 

1, 434. 3 

+5.0 



Number Rate per 
100,000 



jMurder and 
nonnegligent 
manslaughter 



9,249 
9,850 
+6.5 



1,607 

1 , 693 

+5.4 

188 

235 

+2.5. 

49 

46 

15 

21 

105 

129 

6 

18 

11 

19 

2 

2 



4.8 

5.1 

+6.3 



3.4 

3.6 

+5.9 

1.7 

2.1 

+23.5 

1.8 

1.6 

1.5 

2.1 

2.0 

2.4 

.9 

2.7 

1.2 

2.1 

.5 

.5 



Forcible rape 



Number Rate per 
100,000 



20. 551 

22. 467 

+9.3 



3, 745 

4,052 

+8.2 

623 

556 

-10.8 

152 

148 

77 

43 

320 

~25 
14 
25 
35 
24 
26 



457, 831 

496. 862 

+8.5 

91,637 

94,611 

268, 120 

290, 647 

98, 074 

111.604 



1, 269. 8 

1, 367. 4 

+7.7 

1,371.4 

1, 396. 6 

1,496.6 

1,608.2 

855. 9 

968.8 



657, 515 

085. 720 

+4.3 

492, 008 

510. 729 

+3.8 

179, 631 

171,691 

56, 264 

59, 493 

124,486 

142, 563 

102, 108 

10(),417 

29,519 

30, 565 



1. 232. 
1, 269. 6 

+3.1 
1 , 307. 9 
1,339.3 

+2.4 
1,712.6 
1,613.1 
1, 166. 
1,217.9 
1, 537. 2 
1,734.8 
1,011.0 
1, 038. 7 

718.7 

737. 6 



165, 507 

174, 991 

+5.7 

17, 924 

13,498 

21,480 

29 261 

39^ 027 

40, 881 

67, 877 

72, 059 

11,008 

12. .576 

3, 567 

3,271 

4,624 

4,445 



1, 050. 3 

1,102.2 

+4.9 

650. 4 

706.5 

965. 4 

996.5 

1,108.4 

1,150.3 

1,539.5 

1,602.5 

743.8 

851.5 

553.0 

501.7 

646.7 

632. 4 



1.419 
1,458 
+2.7 
207 
219 
833 
833 
379 
406 



1.S46 

2.009 

+8.8 

1.398 

1,510 

+8.2 

572 

551 

145 

171 

269 

358 

350 

366 

60 

64 



3.9 
4.0 
+2.6 
3.1 
3.2 
4.6 
4.6 
3.3 
3.5 



3,122 

3, 496 

+12.0 

609 

605 

1,507 

1,772 

1.006 

1.119 



3.5 
3.7 

+5.7 
3.7 
4.0 

+8.1 
5.5 
5.2 



3.0 
3.5 
3.3 

4.4 
3.5 
3.6 
1.5 
1.5 



450 



+10. 



35 
36 
75 
60 
51 
50 
240 
300 
34 



2.9 
3.1 
+6.9 
1.3 
1.3 
3.4 
2.7 
1.4 
1.4 
5.4 
6.7 
2.3 
2.4 
.9 
.9 
1.3 
1.6 



5.598 

6. 387 

+14.1 

4,228 

4.905 

+16.0 

1, 569 

1,706 

456 

466 

1,358 

1,669 

721 

915 

124 

149 



1. 370 

1.482 

+8.2 

137 

123 

246 

204 

157 

186 

661 

812 

85 

76 

45 

33 

39 

48 



732. 387 

759, 982 

+3.8 

378. 392 

398, 900 

+5.4 

6, 339 

6,502 



1, 236. 
1, 265. 5 

+2.4 
1,336.5 
1,389.2 

+3.9 
1,291.0 
1, 287. 6 



4.577 
4,797 
+4.8 
2, 313 
2,420 
+4.6 
21 
26 



8.0 
+3.9 
8.2 
8.4 
+2.4 
4.3 
5.1 



6.061 

6, 469 

+6.7 

2,859 

3.293 

+15.2 

36 

30 



52 



Geographic Divisions and States, 1964-65 

percent change over 1964] 







Aggravated 






Larceny $50 






Robbery 


assault 


Bur 


glary 


and 


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 


111,753 


58.4 


194, 705 


101.8 


1,110,458 


580.4 


704. 536 


368.2 


462. 971 


242.0 


118.916 


61.4 


206, 661 


106.6 


1, 173, 201 


605.3 


762, 352 


393. 3 


486, 568 


251.0 


+6.4 


+5.1 


+6.1 


+4.7 


+5.7 


+4.3 


+8.2 


+6.8 


+5.1 


+3.7 


20, 971 


44.5 


36, 230 


76.9 


229, 262 


486.5 


172,013 


365.0 


124, 033 


263.2 


23, 712 


49.9 


40, 239 


84.7 


245. 024 


515.9 


186, 488 


392.6 


135,721 


285.8 


+ 13. 1 


+ 12.1 


+ 11.1 


+10.1 


+6.9 


+6.0 


+8.4 


+7.6 


+9.4 


+8.6 


2, 343 


21.2 


4,468 


40.4 


55, 010 


490.9 


32, 595 


294.4 


34, 803 


314.4 


2, 964 


26.6 


4,861 


43.6 


58, 044 


520. 2 


33, 904 


303. 8 


39, 503 


354. 


+26. 5 


+25. 5 


+8.8 


+ 7.9 


+5.5 


+4.7 


+4.0 


+3.2 


+13.5 


+12.6 


414 


15.0 


1,158 


41.9 


14, 713 


531.9 


8,793 


317.9 


5,717 


206.7 


546 


19.3 


1,233 


43.5 


15,959 


563. 5 


9,188 


324. 4 


6,157 


217.4 


75 


7.6 


307 


31.0 


3,248 


328.4 


1,868 


188.9 


1,054 


106.6 


40 


4.0 


302 


30.4 


3, 541 


3.56. 6 


1,911 


192.5 


894 


90.0 


1,636 


30.6 


2,498 


46.8 


28, 278 


529.7 


16, 470 


308.5 


24, 133 


452.1 


2,139 


40.0 


2,712 


50.7 


29, 655 


554. 5 


17,152 


320. 7 


28, 533 


533. 5 


43 


6.6 


75 


11.5 


1,827 


279.3 


1,046 


159.9 


549 


83.9 


46 


6.9 


78 


11. 7 


2,117 


316.5 


1,224 


183.0 


587 


87.7 


162 


17.7 


380 


41.6 


5, 880 


643.4 


3,876 


424.1 


2,944 


322.1 


175 


19.0 


493 


53.6 


5,486 


596. 4 


3.893 


423.2 


2,943 


319.9 


13 


3.2 


50 


12.2 


1,064 


260. 1 


542 


132.5 


406 


99. 3 


18 


4.5 


43 


10.8 


1,286 


324. 


536 


135.0 


389 


98.0 


18,628 


51.7 


31,762 


88.1 


174,252 


483. 3 


139,418 


386.7 


89, 230 


247.5 


20, 748 


57.1 


35, 378 


97.4 


186, 9S0 


514.6 


152, 584 


419.9 


96, 218 


264.8 


+11.4 


+10.4 


+11.4 


+10.6 


+7.3 


+6.5 


+9.4 


+8.6 


+7.8 


+7.0 


3,812 


57.0 


5,828 


87.2 


40, 143 


600.7 


22,115 


331.0 


18, 923 


283.2 


3. 753 


55.4 


5,845 


86.3 


42,113 


621.7 


22,152 


327. 


19, 924 


294.1 


9.829 


54.9 


18,701 


104.4 


90, 277 


503.9 


97, 745 


545. 6 


49, 228 


274.8 


11,073 


61.3 


21, 238 


117.5 


97, 235 


538.0 


107,325 


593. 9 


51,171 


283. 1 


4,987 


43.5 


7,233 


63.1 


43, 832 


382. 5 


19. 558 


170.7 


21,079 


184.0 


5, 922 


51.4 


8. 295 


72.0 


47. 632 


413.5 


23,107 


200. 6 


25, 123 


218.1 


40. 675 


76.2 


43, 919 


82.3 


269, 955 


505.8 


170, 239 


319.0 


125,283 


234.7 


41.397 


76.6 


45, 425 


84.1 


282, 727 


523. 5 


175, 741 


325.4 


132, 034 


244. 5 


+1.8 


+.5 


+3.4 


+2.2 


+4.7 


+3.5 


+3.2 


+2.0 


+5.4 


+4.2 


34, 081 


90.6 


35,186 


93.5 


192, 193 


510.9 


126, 601 


336.5 


98, 323 


261.4 


34, 459 


90.4 


35, 733 


93.7 


201, 832 


529.3 


128, 260 


336.3 


104,030 


272. 8 


+1.1 


_ 9 


+1.6 


+.2 


+5.0 


+3.6 


+1.3 


-.1 


+5.8 


+4.4 


19,123 


182: 3 


15, 652 


149.2 


57,416 


547.4 


42, 744 


407.5 


42, 555 


405.7 


17,535 


164.8 


14, 553 


136.7 


58, 566 


550.3 


38, 342 


360.2 


40, 438 


379.9 


2.731 


56.6 


2,977 


61.7 


23, 962 


496.6 


15,628 


323. 9 


10,365 


214. 8 


2.731 


55.9 


3, 067 


62.8 


25, 245 


516.8 


16, 343 


334.6 


11,470 


234.8 


7.113 


87.8 


9,582 


118.3 


51,990 


642.0 


33, 163 


409.5 


21,011 


259.5 


8. 432 


102.6 


10, 669 


129.8 


57, 951 


705.2 


37.183 


452. 5 


26, 301 


320. 1 


4.663 


46.2 


5, 848 


57.9 


47, 100 


466.3 


24, 901 


246. 5 


18, 525 


183.4 


5,286 


51.6 


6, 221 


60.7 


48. 199 


470.5 


25, 971 


253. 5 


19,459 


189.9 


451 


11.0 


1,127 


27.4 


11,725 


285. 5 


10.165 


247. 5 


5,867 


142.9 


475 


11.5 


1.223 


29.5 


11.871 


286. 5 


10.421 


251.5 


6,362 


153.5 


6.594 


41.9 


8,733 


55.4 


77, 762 


493.7 


43, 638 


277. 


26. 960 


171.2 


6,938 


43.7 


9, 692 


61.0 


80, 895 


509.5 


47, 481 


299.1 


28, 004 


176.4 


+5.2 


+4.3 


+11.0 


+10.1 


+4.0 


+3.2 


+8.8 


+8.0 


+3.9 


+3.0 


310 


11.2 


525 


19.0 


8,004 


290.4 


6, 274 


227. 6 


2,639 


95.8 


354 


12.8 


554 


20.1 


8,398 


304.3 


7,144 


258.8 


2,889 


104.7 


623 


28.0 


1,629 


73.2 


9,626 


432. 6 


6,175 


277.5 


3,106 


139.6 


537 


24.0 


1,591 


71.2 


10,443 


467.5 


6,685 


299. 3 


2, 741 


122. 7 


1,285 


36.5 


1.108 


31.5 


18, 833 


534.9 


11,209 


318.3 


6,384 


181.3 


1.433 


40.3 


1.405 


39.5 


18, 853 


530.5 


11,789 


331.7 


7,165 


201.6 


3.955 


89.7 


4,697 


106.5 


33, 051 


749.6 


13, 831 


313.7 


11,442 


259. 5 


4.195 


93.3 


5.281 


117.4 


34,311 


763.0 


15, 374 


341.9 


11,786 


262. 1 


306 


20.7 


351 


23.7 


4,832 


326. 5 


3,198 


216.1 


2, 202 


148.8 


324 


21.9 


416 


28.2 


5,684 


384.8 


3,636 


246. 2 


2,404 


162.8 


56 


8.7 


122 


18.9 


1,546 


239.7 


1,208 


187.3 


584 


90.5 


30 


4.6 


154 


23.6 


1,348 


206. 8 


1,199 


183.9 


501 


76.8 


59 


8.3 


301 


42.1 


1,870 


261. 5 


1,743 


243.8 


603 


84.3 


65 


9.2 


291 


41.4 


1.858 


264. 3 


1,654 


235.3 


518 


73.7 


26, 045 


44.0 


79, 940 


134.9 


328. 601 


554.6 


181,266 


305.9 


105, 897 


178.7 


27, 406 


45.6 


84, 408 


140.6 


331,768 


552. 4 


199,611 


332.4 


105, 523 


175.7 


+5.2 


+3.6 


+5.6 


+4.2 


+1.0 


-.4 


+10.1 


+8.7 


-.4 


-1.7 


14,434 


51.0 


44, 758 


158.1 


166,043 


586.5 


93. 293 


329. 5 


54, 692 


193. 2 


16.161 


56.3 


47,610 


165.8 


168.871 


588.1 


104, 833 


365.1 


55. 712 


194.0 


+12. 


+10.4 


+6.4 


+4.9 


+1.7 


+.3 


+12.4 


+10.8 


+1-.? 


+.4 


196 


39.9 


183 


37.3 


3,071 


625. 5 


1,588 


323.4 


1,244 


253.4 


277 


54.9 


142 


28.1 


3,033 


600.6 


1,758 


348.1 


1,236 


244.8 



63 



Table 2. — Index of Crime by Regions, 

[Number and rate per 100, 000 inhabitants; 



Florida 

Georgia 

Marjdand 

North Carolina- - 
Soutli Carolina-— 

Virginia 

West Virginia 

East South Central. 

Percent change. 
Alabama 



Kentucky.. 
Mississippi. 
Tennessee.. 



West South Central-.. 

Percent change. 
Arkansas 



Louisiana.. 
Oklahoma. 
Texas 



West. 



Percent change. 
Mountain 



Percent change- 
Arizona 



Colorado 

Idaho 

Montana 

Nevada 

New Mexico- 

Utah 

Wyoming 



Pacific. 



Percent change. 
Alaska 



Cahfornia... 

Hawaii 

Oregon 

Washington. 



Year 



1964 
1965 
1964 
1965 
1964 
1965 
1964 
1965 
1964 
1965 
1964 
1965 
1964 
1965 

1964 
1965 



1364 
1965 
1964 
1965 
1964 
1965 
1964 
1965 

1964 
1965 



1964 
1965 
1964 
1965 
1964 
1965 
1964 
1965 

1964 
1965 



1964 
1965 



1964 
1965 
1964 
1965 
1964 
1965 
1964 
1965 
1964 
1965 
1964 
1965 
1964 
1965 
1964 
1965 

1964 
1965 



1964 
1965 
1964 
1965 
1964 
1965 
1964 
1965 
1964 
1965 



Population i 



5, 705, 000 
5, 805, 000 
4, 294, 000 
4, 357, 000 
3, 432, 000 

3, 519, 000 
4, 852, 000 
4,914,000 
2, 555, 000 
2, 542, 000 

4, 378, 000 
4, 457, 000 
1, 797, 000 
1,812,000 



12,678,000 
12,808,000 



3, 407. 000 
3, 462, 000 
3, 159, 000 
3, 179, 000 
2, 314, 000 
2,321,000 
3, 798, 000 
3, 845, 000 



Total offenses 



Number Rate per 
100,000 



109, 965 
116,732 
53, 594 
52, 271 
49,858 
60, 464 
45, 205 
48, 155 
31, 081 
27, 880 
49, 356 
51,635 
9, 854 
9,581 



1,927.6 

2, 010. 9 

1, 248. 1 

1,199.7 

1,452.8 

1.718.2 

931.7 

980.0 

1, 216. 5 

1, 096. 8 

1,127.3 

1,158.6 

548.3 

528.8 



Murder and 
nonnegligent 
manslaughter 



Number Rate per 
100,000 



518 
503 
491 
229 
236 
369 
388 
206 
245 
297 
296 
67 



8.6 
8.9 
11.7 
11.3 
6.7 
6.7 
7.6 
7.9 
8.1 



3.7 
4.0 



Forcible rape 



Number Rate per 
100.000 



589 
771 
529 
586 
346 
489 
451 
437 
258 
271 
456 
483 
89 
77 



125,344 
128,072 
+2.2 
35, 981 
36, 972 
32, 755 
33,431 
14.688 
16, 034 
41,920 
41.635 



988.7 
1,000.0 

+1.1 

1,056.1 
1, 067. 9 
1,036.8 
1,051.6 
634.7 
690.8 
1, 103. 8 
1, 082. 9 



18, 283, 000 
18, 527, 000 



1,933,000 
1,960,000 
3, 468, 000 
3, 534, 000 
2, 465, 000 
2, 482, 000 
10,397,000 
10,551.000 



31,587,000 
32,231,000 



7, 697. 000 
7, 775, 000 



1,581,000 
1.608,000 
1,966.000 
1.969.000 
692, 000 
692, 000 

705, 000 

706. 000 
408, 000 
440, 000 

1,008,000 
1,029.000 
992, 000 
990, 000 
343, 000 
340. 000 



23, 891 , 000 

24, 456, 000 



250. 000 

253. 000 

18, 084, 000 

18, 602, 000 

701,000 

711,000 

1.871,000 

1.899,000 

2, 984, 000 

2, 990. 000 



228, 651 

233, 010 

+1,9 

14, 688 

14, 503 

42,418 

41,840 

29. 844 

28. 543 

141,701 

148, 124 



636, 460 

697. 384 

+9.6 

118,463 

118,906 

+.4 

32, 693 

31,108 

30, 552 

30,407 

6,145 

6,417 

7,845 

7,643 

11,387 

10, 541 

14,304 

15, 582 

12,196 

13, 803 

3.341 

3.405 



1,252.0 

1, 257. 2 

+.4 

759.8 

739,9 

1,223.1 

1,184.0 

1,210.7 

1, 1.50. 

1.363.0 

1,403.9 



2,015.0 

2,163.9 

+7.4 

1. 539. 5 

1, 529. 6 

-.6 

2, 067. 8 
1. 934. 5 
1,554.0 
1,544.3 

888.0 

927.3 

1,112.8 

1, 082. 7 

2, 790. 9 
2, 395. 7 
1,419.1 
1,514.4 
1,229.5 
1, 394. 3 

974.1 
1,001.6 



517,997 

578, 478 

+11.7 

3,506 

4, 326 

438, 399 

491, 713 

11,083 

13, 438 

25, 073 

28, 235 

39, 936 

40. 766 



2, 168. 2 
2,365.6 
+9.1 
1,402.4 
1,709.9 
2, 424. 2 
2, 643. 5 
1,581.0 
1,890.1 
1,340.1 
1,486.9 
1,338.3 
1,363.4 



1,077 
+14.8 
316 
395 
164 
168 
233 
207 
225 
307 



7.4 

8.4 

+13. 5 

9.3 

11.4 
5.2 
5.3 

10.1 
8.9 
5.9 
8.0 



1,326 
1,300 
-2.0 
147 
115 
287 
285 
110 
110 
782 
790 



7.3 
7.0 
-4.1 
7.6 
5.9 
8.3 
8.1 
4.5 
4.4 
7.5 
7.5 



1,219 

1,351 

+10.8 

332 

300 

-9.6 
83 
80 
82 
69 
28 
14 
19 
12 
32 
37 
54 
63 
15 

. 15 
19 
10 



887 

1,051 

+18.5 

26 

16 

740 

880 

15 

23 

34 

65 

72 

67 



3.9 
4.2 

+7.7 
4.3 
3.9 

-9.3 
5.2 
5.0 
4.2 
3.5 
4.0 
2.0 
2.7 
1.7 
7.8 
8.4 
5.4 
6.1 
1.5 
1.5 
5.5 
2.9 



1,204 
1,161 
-3.6 
397 
367 
254 
209 
217 
160 
336 
425 



1,998 

2,015 

+.9 

157 

203 

384 

394 

269 

275 

1,188 

1,143 



5.147 

5.559 

+8.0 

998 

1,030 

+3.2 

259 

286 

336 

318 

41 

38 

53 

55 

54 

68 

120 

138 

100 

88 

35 

39 



4.3 
+16.2 
10.4 
6.3 
4.1 
4.7 
2.1 
3.2 
1.8 
3.4 
2.4 



4,149 

4,529 

+9.2 

56 

45 

3,621 

3.948 

18 

6 

225 

226 

229 

304 



1 Population for each State for 1964 and 1965 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. 
- Offense totals based on all reporting agencies and estimates for unreported aieas. Aggravated assault 

54 



Geographic Divisions and States, 1964-65 — Continued 

percent change, over 1964] 







Aggravated 






Larceny .$50 






Robbery 


assault 


Burglary 


and 


over 


Auto theft 


Number 


Rate per 


Number 


Rate per 


Number 


Rate per 


Numl)er 


Rate per 


Number 


Rate per 




100,000 




100,000 




100,000 




100,000 




100,000 


4,958 


86.9 


10, 503 


184.1 


54, 959 


963.4 


26, 692 


467.9 


11, 775 


206.4 


5,146 


88.6 


10, 951 


188.6 


55, 556 


957.0 


31, 728 


546. 6 


12, 062 


207.8 


1,445 


33.7 


5,808 


135.3 


22. 706 


528.8 


12, 654 


294.7 


9,949 


231.7 


1,297 


29.8 


6,403 


147.0 


21. 236 


487.4 


13,828 


317.4 


8,430 


193.5 


2,041 


59.5 


4,830 


140.7 


18, 735 


545.9 


14.410 


419.9 


9,267 


270.0 


2,919 


83.0 


6,388 


181.5 


22, 474 


638.7 


17, 191 


488.5 


10, 767 


306.0 


1,034 


21.3 


10, 264 


211.5 


17, 922 


369.4 


10, 253 


211.3 


4,912 


101.2 


1,062 


21.6 


10, 635 


216.4 


18, 610 


378.7 


11,732 


238.8 


5,291 


107.7 


658 


25.8 


3,104 


121.5 


14, 106 


552.1 


8,586 


336.0 


4,163 


162.9 


545 


21.4 


3, 428 


134.9 


11,885 


467.6 


7,741 


304.5 


3,765 


148.1 


1,462 


33.4 


6,533 


149.2 


20, 746 


473.9 


13. 300 


303.8 


6,562 


149.9 


1,715 


38.5 


5,968 


133.9 


21, 540 


483.3 


14, 366 


322.3 


7,267 


163.1 


303 


16.9 


900 


50.1 


4,818 


268.1 


2,267 


126.2 


1,410 


78.5 


261 


14.4 


1,003 


55.4 


4,600 


253.9 


2,310 


127.5 


1,258 


69.4 


3,756 


29.6 


13, 471 


106.3 


57, 676 


454.9 


32,148 


253.6 


16, 151 


127.4 


3,593 


28.1 


13, 830 


108.0 


56, 992 


445.0 


34, 692 


270.9 


16, 727 


130.6 


-4.3 


-5.1 


+2.7 


+1.6 


-1.2 


-2.2 


+7.9 


+6.8 


+3.6 


+2.5 


992 


29.1 


5,555 


163.1 


15, 627 


458.7 


9,415 


276.4 


3,679 


108.0 


992 


28.7 


5,162 


149.1 


16, 119 


465.6 


10, 235 


295.6 


3,702 


106.9 


1,140 


36.1 


1,928 


61.0 


14, 571 


461.2 


10, 172 


322.0 


4,526 


143.3 


1,167 


36.7 


1,919 


60.4 


14, 140 


444.8 


11,006 


346. 2 


4,822 


151.7 


476 


20.6 


3,192 


137.9 


6,157 


266.1 


3,143 


135.8 


1,270 


54.9 


334 


14.4 


3,248 


139.9 


6,626 


285.5 


3,664 


157.9 


1,795 


77.3 


1,148 


30.2 


2,796 


73.6 


21, 321 


561.4 


9,418 


248.0 


6,676 


175.8 


1.100 


28.6 


3.501 


91.1 


20, 107 


523.0 


9.787 


254. 5 


6,408 


166. 7 


7,855 


43.0 


21,711 


118.9 


104, 882 


574.3 


55, 825 


305.7 


3.5, 054 


191.9 


7,652 


41.3 


22, 968 


123.9 


105, 905 


571.4 


60, 086 


324.2 


33, 084 


178.5 


-2.6 


-4.0 


+5.8 


+4.2 


+1.0 


-.5 


+7.6 


+6.1 


-5.6 


-7.0 


565 


29.2 


1,772 


91.7 


6,436 


332.9 


3,898 


201.7 


1, 713 


88.6 


465 


23.7 


1,879 


95.9 


5,723 


292.0 


4,552 


232.2 


1,566 


79.9 


1,849 


53.3 


4,620 


133.2 


16, 730 


482.4 


10, 539 


303.9 


8,009 


230.9 


1,813 


51.3 


4,686 


132.6 


15, 983 


452.3 


11, 521 


326.0 


7, 158 


202.6 


1, 038 


42.1 


2,100 


85.2 


14, 047 


569.8 


7,399 


300.1 


4.881 


198.0 


942 


38.0 


1,928 


77.7 


13, 089 


527.4 


7,482 


301.5 


4,717 


190.0 


4,403 


42.4 


13, 219 


127.1 


67. 669 


650.9 


33. 989 


326.9 


20, 451 


196.7 


4,432 


42.0 


14, 475 


137.2 


71,110 


674.0 


36, 531 


346.2 


19, 643 


186.2 


24, 062 


76.2 


34,616 


109.6 


282, 840 


894.8 


181,018 


573.1 


107, 758 


341.2 


26,401 


81.9 


36, 589 


113.5 


313,682 


973.3 


200,512 


622.2 


113,290 


351.5 


+9.7 


+7.5 


+5.7 


+3.6 


+11.0 


+8.8 


+10.8 


+8.6 


+5.1 


+3.0 


3,694 


48.0 


6,274 


81.5 


50,127 


651.4 


37, 396 


486.0 


19,642 


255. 3 


3, 308 


42.6 


6,533 


84.0 


49, 948 


642.5 


39,452 


507.5 


18,335 


235. 9 


-10.4 


-11.3 


+4.1 


+3.1 


-.4 


-1.4 


+5.5 


+4.4 


-6.7 


-7.6 


967 


61.2 


2, 059 


130.2 


13, 726 


868.2 


10, 251 


648.4 


5, 348 


338.3 


895 


55.7 


1,831 


113.9 


13,129 


816. 5 


10, 267 


638.5 


4, 620 


287.3 


1,323 


67.3 


1,378 


70.1 


13,367 


679.9 


8, 734 


444.2 


5, 332 


271.2 


1,073 


54.5 


1,547 


78.6 


12,817 


651.0 


9,087 


492.0 


4,896 


248.7 


71 


10.3 


397 


57.4 


2,285 


330.2 


2, 653 


383.4 


670 


96.8 


70 


10.1 


371 


53.6 


2,483 


358. 8 


2,733 


394.9 


708 


102.3 


110 


15.6 


382 


54.2 


3,328 


472.1 


2,537 


359.9 


1,416 


200.9 


112 


15.9 


335 


47.5 


3,197 


452. 9 


2,534 


359.0 


1,398 


198.0 


448 


109.8 


449 


110.0 


4,416 


1,082.3 


3,879 


950. 7 


2,109 


516. 9 


429 


97.5 


419 


95.2 


3,863 


878.0 


3,802 


864.1 


1,923 


437.1 


466 


46.2 


914 


90.7 


6,471 


642.0 


3,931 


390.0 


2,348 


232.9 


439 


42.7 


1,329 


129.2 


7,216 


701.3 


4,134 


401.8 


2,263 


219.9 


263 


26.5 


510 


51.4 


5,233 


527.5 


4, 065 


409.8 


2,010 


202.6 


229 


23.1 


554 


56.0 


6,008 


606.9 


4,845 


489.4 


2,064 


208. 5 


46 


13.4 


185 


53.9 


1,301 


379.3 


1,346 


392.4 


409 


119.2 


61 


17.9 


147 


43.2 


1,235 


363. 3 


1.450 


426.5 


463 


136. 2 


20,368 


85.3 


28,342 


118.6 


232, 513 


973. 2 


143, 622 


601.2 


88,116 


368. 8 


23, 093 


94.4 


30, 056 


122.9 


263, 734 


1, 078. 5 


161,060 


658.6 


94, 955 


388.3 


+13.4 


+10.7 


+6.0 


+3.6 


+13.4 


+10. 8 


+ 12. 1 


+9.5 


+7.8 


+5.3 


53 


21.2 


240 


96.0 


1,109 


443.6 


1,137 


454.8 


885 


354.0 


101 


39.9 


215 


85.0 


1,403 


554.5 


1,516 


599. 2 


1,030 


407.1 


18, 667 


103.2 


24, 998 


138.2 


196,883 


1,088.7 


117,703 


650.9 


75, 787 


419.1 


21,081 


113.3 


26, 581 


142.9 


225, 007 


1.209.6 


132, 443 


712.0 


81,773 


439. 6 


95 


13.6 


447 


63.8 


5,880 


838.8 


2. 825 


403.0 


1,803 


257.2 


133 


18.7 


329 


46.3 


6,974 


980.9 


3,392 


477.1 


2,581 


363. 


703 


37.6 


1,047 


56.0 


10, 727 


573.4 


8,447 


4.51. 5 


3,890 


207.9 


873 


46.0 


1,126 


59.3 


12,079 


636. 1 


10,020 


527.7 


3,846 


202.5 


850 


28.5 


1,610 


54.0 


17,914 


600. 3 


13.510 


452. 7 


5,751 


192. 7 


905 


30.3 


1,805 


60.4 


18, 271 


611.1 


13, 689 


457.8 


5. 725 


191.5 



total does not agree with the number pubhshed in 1964 issue due to statistical adjustments resulting from 
new reporting procedures initiated in 1964. 
3 Includes the District of Columbia. 

55 



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3, 819 
10, 881 
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221-746° — 66- 



89 



General United States 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 communities 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 offense 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 provided for the use 
of law enforcement officials in suburban communities in making limited 
comparisons. Places used to establish totals for suburban areas in- 
clude cities with 50,000 or less population and county law enforcement 
agencies in standard metropolitan statistical areas. Of course, the 
crime experience of the large core city is excluded. 

It is important to remember in studying averages that usually about 
half the units used must be above and about half below. National 
averages 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. 



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ENCIES: 5,931 agen 
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95 



Table 7. — Crime Trends, Offenses Known to the Police, 1965 versus Average 

1960-64 

[3,3C3 agencies; 1965 estimated population 127,795.000] 



Offense 



Number of offenses 



A verage 
1960-64 



1965 



Percent 
change 



TOTAL 

Murder and nonnegligent manslaughter 

Mtmslaughter by negligence 

Forcible rape 

Robbery 

Aggravated assault 

Burglary— breaking or entering 

Larceny— theft: 

$50 and over 

Under $50 

Autotheft 



2. 997. 815 



5,828 

3,925 

12, 592 

87, 352 

107, 790 
734. 205 

460, 861 

1,263,472 

321, 790 



3. 665. 860 



4,441 

16, 554 

100, 879 

136, 644 
919,203 

603, 366 

1, 454, 044 

417, 795 



+22.3 



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102 



Table 11,— Disposition of Persons Formally Charged by the Police, 1965 

[1,781 cities; 1965 estimated population 57,761,000] 





Charged 
(held for 
prosecu- 
tion) 


Percent of persons charged 


Offense 


Guilty 


Acquitted 

or 
dismissed 


Referred 




Offense 
charged 


Lesser 
offense 


to juvenile 
court 


TOTAI__ 


2, 058, 421 


67.5 


2.7 


15.2 


14.6 


Criminal homicide: 

(a) Murder and nonnegligent man- 
slaughter 


1,997 
797 
3,386 
14, 655 
31, 275 
69, 242 
152, 968 
39, 794 


44.7 
35.4 
30.7 
34.0 
34.9 
24.8 
38.3 
21.5 


18.2 
10.5 
13.4 
12.7 
15.4 
7.5 
3.6 
6.2 


30.1 
45.7 
32.5 
19.1 
34.9 
16.2 
13.0 
11.8 


7.0 


(6) Manslaughter by negligence 


8.4 
23.4 


Robbery 


34.2 




14.8 


Burglary — breaking or entering 


51.4 




45.1 


Auto theft 


60.6 






Subtotal for above offenses 


314,114 


32.6 


6.6 


16.4 


44.3 






Other assaults 


87, 294 
2,048 
9,754 

18, 864 
2,626 

7,304 

29, 546 

20, 825 

9,042 

23, 149 

16, 545 

36, 471 

21,604 

94, 937 

76, 985 

753, 577 

255, 333 

52, 044 

226, 359 


50.5 
17.5 
61.9 
70.6 
70.3 

38.5 
22 2 
57.4 
69.2 
54.7 
46.5 
55.4 
62.9 
78.6 
65.3 
89.2 
73.9 
76.6 
50.4 


3.7 
4.5 
10.6 
3.9 
3.6 

5.7 
1.6 
6.6 
4.5 
7.4 
8.1 
9.2 
2.1 
11.3 
1.5 

'.& 
1.5 
1.1 


33.3 
10.9 
17.4 
22.6 
21.6 

29.1 
18.2 
20.2 
24.9 
16.8 
38.0 
34.4 
28.4 

9.6 
14.9 

9.4 
17.0 
17.0 
17.0 


12.4 




67.1 


Forgery and counterfeiting 


10.1 


Fraud 


2.8 


Embezzlement 


4.5 


Stolen property; buying, receiving, pos- 
sessing 


26.6 




58.0 


Weapons; carrying, possessing, etc 


15.8 


Prostitution and commercialized vice 

Sex offenses 


1.3 
21.1 




7.3 


Gambling 


1.0 


Offenses against the family and children.-. 
Driving under the influence 


6.6 
.6 




18.4 


Drunkenness 


1.0 




8.5 


Vagrancy 


4.9 




31.5 







Table 12.— Offenses Known, Cleared; Persons Arrested, Charged and Disposed 

of in 1965 



[1, 


657 cities; 1 


965 estimated population 56,554,000] 








Type 


TOTAL 


Murder 
and non- 
negligent 

man- 
slaughter 


For- 
cible 
rape 


Rob- 
bery 


Aggra- 
vated 
assault 


Bur- 
glary— 
break- 
ing or 
entering 


Lar- 
ceny- 
theft 


Auto 
theft 


Offenses known 


1, 678, 074 

403, 534 

24.0 

385, 474 

310,096 
80.4 

100, 364 

58.4 

20, 372 

11.9 

51,031 

29.7 

138, 329 

44.6 


3,015 

2,709 

89.9 

3,177 

1,987 
62.5 

884 
47.8 

362 
19.6 

602 

32.6 

139 

7.0 


6,349 

4,163 

65.6 

4,708 

3,380 
71.8 

1,028 

39.9 

447 

17.3 

1,104 
42.8 
801 
23.7 


41, 762 

16, 055 

38.4 

20, 904 

14, 606 
69.9 

4,931 
51.3 

1,852 
19.3 

2,825 
29.4 

4,998 
34.2 


66,012 

48, 087 

72.8 

41, 462 

31,007 
74.8 

10, 680 

40.6 

4,744 

18.0 

10, 881 

41.4 

4,702 

15.2 


387, 538 

99, 217 

25.6 

81,325 

68, 430 
84.1 

16, 838 

50.8 

5,098 

15.4 

11,191 
33.8 

35, 303 
51.6 


981,189 

184, 670 
18.8 

185, 497 

151,482 

81.7 

57, 656 

69.6 

5,431 

6.6 

19, 760 
23.9 

68, 635 
45.3 


192, 209 




48, 633 




25.3 


ARRESTS 


48, 401 


Total persons charged 

Percent of arrests 


39, 204 
81.0 




8,347 


Percent of charged 


54.0 


Adults guilty of lesser offense- 


2,438 
15.8 


Adults acquitted or 
dismissed 


4,668 




30.2 


Referred to juvenile court 


23, 751 
60.6 







103 



Table 13. — Police Disposition of Juvenile Offenders Taken Into Custody, 1965 

[1965 estimated population] 



Population group 



TOTAL 

2,877 agencies; total population 95,096,000: 

Number 

Percent 



TOTAL CITIES 

2,294 agencies ; total population 76,144,000 : 

Number 

Percent 



39 cities over 250,000; population 31,177,000: 

Number 

Percent 



58 cities, 100,000 to 250,000; population 
7,850,000: 

Number 

Percent 



137 cities, 50,000 to 100,000; populatioi 
9,456,000: 

Number 

Percent 



GROUP IV 

319 cities, 25,000 to 60,000; population 
11,059,000: 

Number 

Percent 1 



GROUP V 

088 cities, 10,000 to 25,000; population 
10,571,000: 

Number 

Percent 



GROUP VI 

1.053 cities under 10,000; population 
6,031,000: 

Number 

Percent 



SUBURBAN AREA 3 

1,163 agencies; population 26,222,000: 

Number 

Percent l.-s- 



RURAL AREA 

494 agencies; population 8,806,000: 

Number .1 

Percent 



Total 



833, 507 
2 100. 



741,353 
100.0 



261, 195 
100.0 



99. 671 
100.0 



101. 630 
100.0 



115.831 
100.0 



104. 949 
100.0 



58, 077 
100.0 



220. 293 
100.0 



33. 425 
100.0 



Handled 
within 
depart- 
ment 
and re- 
leased 



Referred 
to ju- 
venile 
court 

jurisdic- 
tion 



Referred 
to wel- 
fare 
agency 



Referred 

to other 

police 

agency 



389. 278 
46.7 



383. 875 
46.1 



24. 146 22. 114 
2. 9 2. 7 



348. 827 
47.1 



339. 651 

45.8 



100. 532 
38.5 



48, 731 
48.9 



55. 531 
54.6 



59. 669 
51.5 



55. 105 
52.5 



29, 259 

50.4 



124. 083 
56.3 



9.895 
29.6 



22. 865 
3.1 



139.911 
53.6 



44. 649 
44.8 



39. 848 
39.2 



48. 640 
42.0 



42. 594 
40.6 



24. 009 
41.3 



82, 769 
37.6 



18, 846 
56.4 



15.862 
6.1 



1.415 
1.4 



2.111 
2.1 



1.442 
1.2 



1. 265 
1.2 



770 
1.3 



2.142 
1.0 



661 
2.0 



19. 674 
2.7 



3,798 
1.5 



2,950 
3.0 



3,404 
3.3 



4. 072 
3.5 



3,564 
3.4 



1.886 
3.2 



912 
3.6 



1,237 
3.7 



Referred 
to crimi- 
nal or 
adult 
court 



2,786 
8.3 



1 Includes all offenses except traffic and neglect cases. 

2 Because of rounding, the percentages may not add to total. 

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



104 



Table 14. — Offense Analysis, Trends, 1964~65; Percent Distribution anil 

Average Value 

[646 cities 25,000 and over; 1965 estimated population 75.400,0001 



Classification 



Number of olTenses 



1964 



1965 



Percent 
cliange 



Percent 
distribu- 
tion 
1965 1 



Averagie 
value 



Robber v: 

TOTAL. 



Highway 

Commercial house 

Cias or service station. 

Chain store 

Residence 

Bank 

Miscellaneous 



Burglarv — l>reaking 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 



Larcenv— theft (by type): 
TOTAL 



Pocket-picking 

Purse-snatching 

Shophfting 

From autos (except accessories). 

Auto accessories 

Bicycles 

From buildings 

From coin operated machines... 
All others 



82, 938 



42, 718 
17, 125 
4,660 
2,200 

7,688 
659 

7.888 



609, 821 



150, 390 
136. 034 



293, 937 
29. 460 



1,438,341 



414,310 

781,814 
242, 217 



1, 438, 341 



13, 692 

24, 205 
106, 515 
285, 479 
288, 722 
227, 170 
241, 695 

38, 772 
212,091 



85, 999 



+3.7 



44, 164 
17, 337 
5.050 
2,360 

7,788 

784 

8.516 



+3.4 
+ 1.2 
+8.4 
+7.3 
+ 1.3 
+ 19.0 
+8.0 



+4.1 



161,119 
152. 758 



291,230 
29. 496 



1, 433, 647 



+7.1 
+ 12.3 



-.9 

+.1 



432, 866 
773, 341 
227, 440 



1, 433, 647 



+4.5 
-1.1 
-6.1 



-.3 



14. 006 
24,011 
112, 361 
279, 717 
289,711 
221, 425 
262, 958 
24, 038 
205, 420 



+2.3 
-.8 
+5.5 
-2.0 
+.3 
-2.5 
+8.8 
-38.0 
-3.1 



Auto theft - 



100.0 



51.4 
20.2 
5.9 
2.7 
9.1 
.9 
9.9 



100.0 



25.4 
24. 1 



45.9 
4.6 



100.0 



30.2 
53.9 
15.9 



100.0 



1.0 

1.7 

7.8 

19.5 

20. 2 

15.4 

18.3 

1.7 

14.3 



$254 



113 
421 
109 
534 
391 
3.789 
203 



247 
274 



223 
231 



84 



236 
23 

2 



100 
45 
27 

110 
40 
28 

159 
19 

115 

1. 030 



Because of rounding the percentages may not add to total. 



Table 15. — Type and Value of Property Stolen and Recovered, 1965 

[646 cities 25,000 and over; 1965 estimated population 75,400,000] 



Type of property 


Value of property 


Percent 




Stolen 


Recovered 


recovered 


TOTAL - 


S629, 700, 000 


$324, 500. 000 


52 






Currency, notes, etc . . 


61, 700, 000 
52, 200, 000 
13, 100, 000 

25, 100, 000 
332, 900, 000 
144, 700, 000 


5, 600, 000 

3, 500, 000 

600, 000 

2, 500, 000 

290, 000, 000 

22, 300, 000 


9 


Jewelry and precious metals . . . .. . 




Furs 


5 


Clothing- . ... 


10 


Locally stolen automobiles 


87 




15 







221-746°— 66- 



105 



Table 16. — Murder Victims — Weapons Used, 1965 





Num- 
ber 


Weapons 


Age 


Gun 


Cut- 
ting 
or 
stab- 
bing 


Blunt 
object 
(club, 
haimiier, 
etc.) 


Personal 
weapons 
(stran- 
gulations 
and beat- 
ings) 


Poison 


Explo- 
sives 


Other 
(drown- 
ings, 

arson, 
etc.) 


Un- 
known 

and 

not 
stated 


TOTAL 

Percent 


8,773 


5,015 
57.2 


2,021 
23.0 


505 
5.8 


894 
10.2 


20 
.2 


5 
.1 


226 
2.6 


87 
1.0 








Infant (under 1) 

1-4 


116 

198 

121 

97 

620 

1, 062 

1,128 

1,008 

1, 029 

888 

694 

529 

384 

276 

172 

130 

148 

173 


7 

25 

43 

45 

383 

690 

747 

628 

615 

528 

395 

289 

203 

132 

80 

55 

44 

106 


6 

4 

10 

14 

150 

262 

260 

264 

270 

222 

166 

113 

85 

64 

38 

22 

25 

46 


6 
•22 
11 
10 
29 
37 
39 
35 
33 
50 
44 
50 
40 
29 
25 
17 
22 

6 


64 
105 
35 
17 
37 
48 
55 
60 
78 
69 
70 
58 
45 
41 
23 
29 
52 
8 


3 

2 
2 




29 

36 

19 

9 

12 

18 

16 

14 

20 

15 

10 

9 

5 

6 

1 

1 

3 

3 


1 
4 


5-9 -- 


1 


10-14 


2 


15-19 


1 
1 
2 
2 
2 
1 
2 

i 


2 
_ 

f 


6 


20-24 


6 


25-29 

30-34 


9 

5 


35-39 


10 


40-44... - 


3 


45-49 


6 


50-54 


9 


55-59 


5 


60-64 


4 


65-69 


1 




4 


70-74 


6 


75 and over 






9 


Unknown 






4 











Table 17. — Murder Victims by Age. Sex, and Race, 1965 





Num- 
ber 


Per- 
cent 


Sex 






E 


ace 




Age 


Male 


Female 


White 


Negro 


Indian 


Chi- 
nese 


Japa- 
nese 


All others 
(includes 
race un- 
known) 


TOTAL 

Percent 


8,773 


Vioo.o" 


6,539 

74.5 


2.234 
25.5 


3.970 
45.3 


4,693 
53.5 


51 
.6 


16 
.2 


6 

.1 


37 

.4 








Infant (under 1).. 
1-4 


116 

198 

121 

97 

620 

1,062 

1.128 

1,008 

1,029 

888 

694 

529 

384 

276 

172 

130 

148 

173 


1.3 

2.3 

1.4 

1.1 

7.1 

12.1 

12.9 

11.5 

11.7 

10.1 

7.9 

6.0 

4.4 

3.1 

2.0 

1.5 

1.7 

2.0 


77 
95 
69 
64 
464 
802 
857 
765 
789 
644 
541 
424 
296 
212 
129 
90 
103 
118 


39 
103 

52 

33 

156 

260 

271 

243 

240 

244 

153 

105 

88 

64 

43 

40 

45 

55 


71 
133 

82 

56 
264 
460 
409 
394 
394 
380 
327 
263 
217 
178 
104 

87 
102 

49 


40 
62 
37 
39 
347 
592 
709 
604 
620 
500 
363 
262 
162 
95 
66 
39 
43 
113 


1 
2 
.- 

3 

7 
6 
8 
9 
3 
2 
4 
2 
1 
1 






4 






1 


5-9 - 


1 




1 


10-14 




15-19 


3 

1 
2 
1 
1 
2 
1 


1 

2" 

1 


2 


20-24 . 


2 


25-29 


2 


30-34 


1 


35-39 


3 


40-44 


2 


45-49 


1 


50-54 




55-59 






3 


60-64 






2 


65-69 






1 


70-74 


3 
1 


2' 


1 


75 and over 


li 













1 Because of rounding the percentages may not add to total. 



106 



Arrest Data 

Tables in the following section provide certain personal characteris- 
tics of indi\'iduals arrested for all criminal acts. Arrest rates and 
trends are shown for city, suburban and rural areas, as well as the 
United States as a whole. Tabulations are published containing 
characteristics of persons arrested by age, sex and race. 

Arrest statistics are collected annually from contributing law 
enforcement agencies and the figures used in the tables this 3'ear were 
submitted by agencies representing 69 percent of the United States 
population. In using these arrest figures it is important to remember 
that the same person may be arrested several times during one year 
for the same type or for different offenses. Each arrest is counted. 
Further, the arrest of one person may solve several crimes and, in 
other instances, two or more persons may be arrested during the 
solution of one crime. 

Arrests are primarily a measure of police activity, as it relates to 
crime. Although police arrest practices vary, particularl}' with 
respect to juveniles, contributors to tliis Program are instructed to 
count one arrest each time an individual is taken into custody for 
committing a specific crime. A juvenile is counted as a person 
arrested w^hen he commits an offense and the circumstances are such 
that if the offender were an adult, an arrest would be made. 

Arrest data is primarily a measure of law enforcement activity, 
but it does provide useful information on the characteristics of persons 
arrested for criminal acts. It is a gauge of criminality when used 
within its limitations as must be done with all forms of criminal 
statistics, including court and penal. 



10: 



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116 



Table 2^.— Total Arrests by Race, 1965 

[4,043 agencies; 1965 estimated population 125,139,000] 



Offense charged 



TOTAL. 

Criminal homicide; 

(a) Murder and nonuegligent 

manslaughter _ . 

(b) Manslaughter by negli- 

gence 

Forcible rape 

Robbery 

Aggravated assault 

Burglary — breaking or entering.. 

Larceny— theft 

Auto theft--- 

Subtotal for above offenses 

Other assaults. 

Arson 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc- 
Prostitution and commercialized 

vice 

Sex offenses (except forcible rape and 

prostitution) 

Narcotic drug laws 

Gambling 

Offenses against family and children 

Driving under the influence -. 

Liquor laws 

Drunkenness 

Disorderly conduct.- 

Vagrancy 

All other offenses (except traffic) — 

Suspicion 

Curfew and loitering law violations- 
Runaways 



Total arrests 



Total 



4. 743. 123 



6,509 

2,457 

9,328 

39, 854 

70, 285 

181,429 

364, 072 



767, 042 



193, 475 

5,516 

27, 477 

49, 537 

6,781 

15, 869 
82, 798 
49, 731 

30, 635 

53, 422 

31,294 

87, 627 

59, 958 

231, 899 

167,815 

516, 548 

503, 849 

115,305 

611,121 

76, 183 

71, 138 

88, 103 



Race 



White 



,235. 



2,675 

1,883 
4,485 
16, 586 
32, 539 
118, 167 
247, 606 
64, 200 



488, 141 



116,734 
4, 321 
21, 690 
40, 843 

5,777 

10, 120 
65, 601 
22, 695 

12, 643 

38,615 

18, 530 

19, 842 
39, 449 

188, 159 

131, 452 
1,070,861 

312, 228 
83, 495 

365, 869 
53.651 
54, 288 
70. 382 



Negro 



1, 347. 994 



3,704 

541 

4,665 
22, 546 
36, 558 
59, 673 
109, 792 
26, 372 



263, 851 



73, 284 

1,127 

5,440 

8,253 

966 

5,463 

16, 074 
26, 226 

17, 598 

13, 759 
12, 069 
64, 135 
19, 699 
38, 966 
31, 929 

354, 158 
179, 506 

28, 161 
135, 946 

21,721 

14, 521 

15, 142 



Indian 



113.398 



46 

15 

85 

288 

569 

1,298 

2. 583 

927 



5,811 



267 

28 

241 

192 

22 



331 
209 

142 

237 
80 

28 

474 

3,433 

3,065 

81,987 

6,095 

2,617 

4,782 

605 

586 

1,078 



Chi- 
nese 



1 

2 

6 

16 

61 

222 

33 



37 
29 

178 
10 
41 
29 

144 
53 
30 

151 
13 
52 
62 



Japa- 
nese 



All others 
(includes 
race un- 
known) 



,970 



4 

4 

23 

21 

150 

318 

106 



73 

51 
395 

10 
137 

69 
423 

89 

131 

298 

6 

338 

75 



76 

13 

87 

405 

582 

2,080 

3,551 

1,470 



,264 



2,064 

38 

80 

213 

13 

174 
729 
557 

212 

701 

535 
3,049 

316 
1,163 
1,271 
8,975 
5,878 

871 
4,075 

187 
1,353 
1,364 



117 



Table 25. — Total Arrests by Race, 1965 — Continued 





Arrests under 18 


Offense charged 


Total 


Race 




White 


Negro 


Indian 


Chi. 
nese 


Japa- 
nese 


All others 
(includes 
race un- 
known) 


TOTAL 


1, 019, 301 


733, 585 


263, 690 


7,585 


440 


1,059 


12, 942 






Criminal homicide: 

(«) Murder and nonnegligent 


504 

165 

1,940 

11, 440 

10, 594 

94, 699 

201, 242 

59, 298 


190 

121 

658 

3,281 

4,638 

62, 665 

137, 446 

41, 875 


296 

42 

1,229 

7,977 

5,760 

29, 892 

60, 131 

15, 791 


3 




1 
1 
1 
2 
3 

99 
196 

81 


14 


(6) Manslaughter by negligence. 
Fccible rape 


1 


14 

25 

70 

546 

1,004 

396 


1 

2 

2 

44 

119 

27 


37 


Robbery - -- . __ 


153 


Aggravated assault 


121 


Burglary — breaking or entering 

Larceny — theft 


1,453 
2,346 


Autotheft - - - - - 


1,128 






Subtotal for above offenses 


379, 882 


250, 874 


121, 118 


2,058 


195 


384 


5,253 


Other assaults 


28, 946 

3,680 

2,714 

1,710 

241 

6,238 
64,015 
10, 156 

799 

13, 079 

4,021 

2,194 

607 

1,886 

46, 091 

25, 583 

88, 982 

7,107 

151,651 

20. 478 

71, 138 

88, 103 


16,118 

3,005 

2,154 

1,252 

192 

4,004 

52, 631 

5,738 

329 

8,882 

2,853 

568 

473 

1,708 

42, 691 

21, 045 

60, 643 

5,069 

113,691 

14, 995 

54, 288 

70, 382 


12, 218 

626 

515 

423 

45 

2,087 
10, 649 
4,231 

466 

3,859 

996 

1,503 

129 

122 

2,365 

3,200 

27, 063 

1,699 

35, 425 

5,288 

14, 521 

15, 142 


111 
16 
23 

5 

33 

206 

29 

1 

26 

15 

3 

4 

43 

730 

1,131 

439 

66 

856 

126 

586 

1,078 


5 

-- 

2 
22 

4 
4 


16 

1 
1 
1 
1 

10 
24 
10 

1 

12 

9 


478 




32 


Forgery and counterfeiting 


21 


Fraud 


29 




2 


Stolen property; buying, receiving, 


102 


Vandalism _ 


483 


Weapons; carrying, possessing, etc- 
Prostitution and commercialized 
vice 


141 
2 


Sex offenses (except forcible rape 


296 


Narcotic drug laws 


146 




111 


Offenses against family and children. 


1 


2 
6 
1 

19 
4 

52 
2 

52 

62 


16' 

4 

13 

44 

90 

2 

338 

75 


11 


Liquor laws .... 


283 


Drunkenness 


202 


Disorderly conduct . 


805 


Vagrancy 


225 


All other offenses (except traffic) 


1,537 
65 


Curfew and loitering law violations. 


1,353 
1,364 







118 



Table 25. — Total Arrests by Race, 7965— Continued 





Arrests 18 and over 


Offense charged 


Total 


Race 




White 


Negro 


Indian 


Chi- 
nese 


Japa- 
nese 


All others 
(includes 
race un- 
known) 


TOTAL. 


3. 723, 822 


2, 501. 801 


1, 084, 304 


105. 813 


853 


1,911 


29, 140 


Criminal homicide: 

(a) Murder and nonnegligent 


6,005 

2,292 

7,388 

28,414 

59, 691 

86, 730 

162, 830 

33, 810 


2,485 
1,762 
3,827 
13, 305 
27, 901 
55, 502 
110, 160 
22, 325 


3.408 
499 

3,436 
14, 569 
30, 798 
29, 781 
49, 661 
10, 581 


43 

15 

71 

263 

499 

752 

1.579 

531 


3 

1 

1 

4 

14 

17 

103 

6 


4 

3 

3 

21 

18 

51 

122 

25 


62 


(6) Manslaughter by negligence. 
Forcible rape 

Robbery -- 


12 

50 

252 


Aggravated assault 


461 


Burglary— breaking or entering 

Larceny — theft 


627 
1,205 


Autotheft - 


342 






Subtotal for above offenses 


387, 160 


237, 267 

loo, 616 

! 1,316 

19, 536 

39, 591 

1 5, 585 

6,116 
12,970 
16, 957 
12,314 

29, 733 

15, 677 
19, 274 
38, 976 
186, 451 
88, 761 
1,049,816 

251, 585 
78, 426 

252, 178 
38, 656 


142, 733 


3,753 


149 


247 


3,011 


Other assaults 


164, 529 

1,836 

24, 763 

47, 827 

6.540 

9,631 
18, 783 

39, 575 
29, 836 

40, 343 
27, 273 
85, 433 
59,351 

230, 013 
121, 724 
1, 490, 965 
414, 867 
108, 198 
359, 470 
65, 705 


61,066 

501 

4,925 

7,830 

921 

3,376 

5,425 

21,995 

17, 132 

9.900 

11,073 

62, 632 

19, 570 

38, 844 

29, 564 

350, 958 

152, 443 

26, 462 

100, 521 

16, 433 


1,156 

12 

218 

187 

22 

55 
125 
180 
141 

211 

65 

25 

470 

3,390 

2, 335 

80. 856 

5.656 

2,551 

3.926 

479 


29 

1 

10 

13 

1 

4 
5 
9 
11 

33 
- 25 

178 
10 
39 
23 

143 
34 
26 
99 
11 


76 
--- 
22 

8 
12 

18 

28 

61 
44 

386 
10 

137 
53 

419 
76 
87 

208 
4 


1, 586 







Forgery and counterfeiting 


59 


Fraud - -._ 


184 


Embezzlement 


11 


Stolen property; buying, receiving, 
possessing 


72 


Vandalism 


246 


Weapons; carrying, possessing, etc__. 
Prostitution and commercialized vice- 
Sex offenses (except forcible rape 
and prostitution) 


416 
210 

405 




389 




2.938 


Offenses against family and children _ 

Driving under the influence 

Liquor laws - -- - 


315 
1,152 

988 


Drunkenness 


8,773 


Disorderly conduct . .- - - 


5.073 




646 


All other offenses (except traffic) 


2.538 
122 


























1 







119 



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125 



Table 31.— City Arrests by Race, 1965 

[3,069 cities over 2,500; 1965 estimated population 92,880,0001 



Offense charged 



Total arrests 



Total 



TOTAL |4, 234. 008 



Criminal homicide: 

(a) Murder and nonnegligent 
manslaughter 

(6) Manslaughter by negligence. 

Forcible rape 

Robbery.- 

Aggravated assault 

Burglary— breaking or entering 

Larceny — theft.— 

Auto theft... 



Subtotal for above offenses. 



Other assaults 

Arson 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

l)ossessing 

Vandalism 

Weapons; carrying, possessing, etc 
Prostitution and commercialized 

vice 

Sex offenses (except forcible rape 

and prostitution) 

Narcotic drug laws 

Gambling 

Offenses against family, and children. 

Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations.. 
Runaways 



5.425 

1,770 

7,567 

36, 545 

60, 418 

151,825 

323, 764 

82, 125 



167, 849 

4,494 

20, 941 

34, 991 

4,589 

13, 743 

72, 540 

45. 744 

29, 748 

47, 368 

29, 322 

83, 674 

40, 594 

194. 077 

142, 052 

1. 422, 446 

466, 471 

107.415 

427, 020 

68, 799 

67, 134 

73, 558 



Race 



White 



2.815,121 



L978 

1,340 

3,247 

14, 247 

25, 996 

93, 098 

214, 633 

54, 805 



409, 344 



96, 420 
3,389 

15, 992 
27, 463 

3.848 

8,364 
56, 185 
19, 961 

11,968 

33, 461 

16, 869 

17, 855 
23. 871 

155,510 
109. Ill 
997. 083 
282, 166 
76, 976 
294, 106 
47, 528 
50, 573 
57. 078 



Negro 



1,278.817 



3, 349 

411 

4,198 

21, 647 

33, 520 

55, 875 

103, 298 

25. 187 



247, 485 



68, 484 
1,053 
4,767 
7,215 

717 

5,151 
15,446 

25, 028 

17,400 

12, 974 
11,816 
62,196 
16, 225 
35, 309 
29, 466 
342, 475 
173,815 

26, 977 
125, 597 

20, 567 
14. 403 
14, 251 



Indian 



97, 422 



27 

35 
237 
357 
788 
2,051 
581 



4,083 



927 

12 

101 

101 

11 

58 
222 
194 

137 

176 

70 

25 

228 

2,102 

2,308 

74, 213 

4,767 

2,476 

3,394 

518 

482 

817 



Chi- 
nese 



1.230 



215 
31 



329 



36 
24 

176 

3 

41 

29 

135 
51 
30 

142 
11 
52 
58 



Japa- 
nese 



All others 
(includes 
race un- 
known) 



822 



4 

1 

2 

20 

21 

135 

296 

105 



584 



392 

9 

130 

67 
411 

86 

128 

264 

5 

331 

74 



38. 596 



10 

83 

389 

511 

1,870 

3,271 

1.416 



7.614 



1,904 

38 

57 

181 

10 

147 
630 
522 

204 

648 

494 

3,030 

258 

985 

1.071 

8.129 

5.586 

828 

3.517 

170 

1.293 

1.280 



126 



Table 31. — City Arrests by Race, 1965 — Continued 



Offense charged 



TOTAL 

Criminal homicide: 

(a) Murder and nonnegligent 
manslaughter 

(6) Manslaughter by negligence 

Forcible rape 

Robbery 

Aggravated assault 

Burglary— breaking or entering 

Larceny— theft 

Auto theft 

Subtotal for above offenses 

Other assaults 

Arson 

Forgery and counterfeiting 

Fraud 

E mbezzlement 

Stolen property; buying, receiving, 

possessing- - 

Vandalism 

Weapons; carrying, possessing, etc... 
Prostitution and commercialized 

vice 

Sex offenses (except forcible rape and 

prostitution) 

Narcotic drug laws 

Gambling 

Offenses against family and children. 

Driving under the influence 

Liquor laws 

Drunkenness 

D isorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations.. 
Runaways 



Total 



906, 086 



426 

135 

1,684 

10, 920 

9,720 

79, 939 

183,819 

53, 429 



,072 



26, 446 
3,111 
2,266 

1,487 



6,716 
56, 474 
9,481 

786 

11,755 

3,869 

2,107 

504 

1,676 

38, 622 

23, 013 

80, 724 

6,473 

131, 582 

18, 103 

67, 134 

73, 558 



Arrests under li 



White 



633, 018 



135 

100 

503 

2,928 

4,092 

49, 964 

122, 854 

36, 632 



217, 208 



14,027 

2,465 

1,768 

1,038 

179 

3,587 

45, 630 

5,197 

316 

7,729 

2,707 
521 
390 

1,429 
35, 650 
18,898 
53,411 

4,558 
95, 757 
12,902 
50, 573 
57, 078 



Race 



Negro Indian | Chi- 
I nese 



252. 967 



276 

33 

1,139 

7,816 

5,462 

28, 185 

57, 625 

15,327 



115,863 



11,843 

607 

462 

419 

45 

1,998 
10, 269 
4,104 

465 

3,716 

996 

1,463 

111 

113 

2,254 

3,082 

26, 186 

1,599 

33, 691 

5,017 

14,403 

14,251 



5,625 



4 

25 

43 

343 

854 



1,536 



23 
135 
26 



19 

13 
3 
3 

22 
459 
846 
320 

60 
617 
121 
482 
817 



195 



Japa- 
nese 



All others 
(includes 
race un- 
known) 



12, 057 



2 
3 

87 
176 
81 



350 



15 
4 
13 

43 

80 

1 

331 

74 



14 

1 

37 

147 

118 

1,316 

2,191 

1,096 



4, 920 



461 

32 

16 

27 

2 



400 
137 



275 
143 
111 



10 

238 

182 

776 

209 

1,385 

62 

1,293 

1.280 



127 



Table 31. — City Arrests by Race, 1965 — Continued 



Offense charged 



TOTAL 



Criminal homicide: 

(a) Murder and nonnegligent 
manslaughter 

(6) Manslaughter by negligence. 

Forcible rape 

Robbery 

Aggravated assault 

Burglary— breaking or entering 

Larceny— theft 

Auto theft . 



Subtotal for above offenses - 



Other assaults 

Arson 

Forgery and counterfeiting... 

Fraud 

E m bezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc... 
Prostitution and commercialized vice. 
Sex offenses (except forcible rape 

and prostitution) - 

Narcotic drug laws 

(Gambling 

(offenses against family and children. 

Drivmg under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations. . 
R unaways 



Arrests 18 and over 



Total 



4.999 
1.635 
5,883 
25,626 
50. 698 
71,886 
139. 945 
28. 696 



329, 367 



141, 403 

1,383 

18, 675 

33. 504 

4.361 

8,027 
16, 066 
36, 263 
28. 963 

35, 613 

25, 453 

81, 567 

40, 090 

192. 501 

103. 430 

399. 433 

385. 747 

100. 942 

295, 438 

50, 696 



Race 



White 



2, 182, 103 



1,843 
1,240 
2.744 
11,319 
21. 904 
43, 134 
91, 779 
18. 173 



192, 136 



82. 393 

924 

14, 224 

26, 425 

3,669 

4,777 
10, 555 
14,764 
11,652 

25, 732 
14, 162 
17, 334 
23. 481 

154,081 
73, 461 

978, 185 

228, 755 
72,418 

198, 349 
34, 626 



Negro 



1, 025, 860 



3.073 
378 

3,059 
13, 831 
28, 058 
27, 690 
45, 673 



131,622 



56, 641 

446 

4.305 

6,796 

672 

3,153 

5,177 

20, 924 

16, 935 

9,258 
10, 820 
60, 733 
16,114 
35, 196 
27, 212 
339, 393 
147, 629 
25, 378 
91, 906 
15. 550 



Indian 



91, 797 



26 

31 
212 
314 
445 
1,197 
315 



2,547 



832 

6 

82 

99 

11 

35 
87 
168 



157 
57 
22 

225 
2,080 
1,849 
3,367 
4,447 
2,416 
2,777 

397 



Chi- 
nese 



797 



134 



32 
20 
176 



23 
134 
33 
26 
90 
11 



Japa- 
nese 



All others 
(includes 
race un- 
known) 



2 
18 
18 
48 
120 
24 



234 



68 



12 
13 
27 

61 
43 

383 
9 

130 
52 

407 
73 
85 

184 



50 

9 

46 

242 

393 

554 

1,080 

320 



2,694 



1,443 

6 

41 

154 

8 

51 
230 
385 
202 

373 
351 

2,919 
258 
975 
833 

7,947 

4,810 
619 

2,132 
108 



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133 



Table 36. — Suburban Arrests by Race, 1965 

[1, 537 agencies; 1965 estimated population 33,699,000] 



Offense charged 



TOTAL 

Criminal homicide: 

(a) Murder and nonnegligent 
manslaughter 

(6) Manslaughter by negligence 

Forcible rape 

Robbery 

Aggravated assault 

Burglary— breaking or entering 

Larceny — theft 

Auto theft 

Subtotal for above offenses 

Other assaults 

Arson 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc_- 
Prostitution and commercialized 

vice 

Sex offenses (except forcible rape and 

prostitution) 

Narcotic drug laws 

Gambling 

Offenses against family and children 

Driving under the influence 

Liquor laws 

D runkenness 

D isorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations^ 
Runaways 



Total arrests 



Total 



762, 212 



943 

704 

1,767 

6,069 

11,870 

37, 799 

77,470 

18,668 



154,290 



37,714 
1,584 
5,679 

11,421 
2,134 

3,172 

22, 269 

6,902 

938 

9,131 

4,337 

4,844 

15.771 

47, 964 

34, 730 

138, 220 

80, 646 

10, 508 

113,927 

15,591 

17, 966 

22, 474 



White 



664, 202 



614 

583 

1,271 

3,543 

8,174 

32, 040 

65, 304 

16, 093 



127, 622 



30. 479 
1,472 
5, 013 

10, 494 
1,902 

2,594 

20, 976 

4,916 

712 

8,103 

3, 793 

2,386 

12,618 

43, 122 

32, 257 

117, 632 

67, 766 

8,711 

100, 197 

13, 290 

17,348 

20, 799 



7,037 
109 
637 
912 
229 

559 
1, 228 
1,934 

216 

984 

487 

2,429 

3, 060 

4,415 

2,184 

16. 891 

12. 451 

1,693 

12, 913 

2,228 

543 

1,414 



105 

1 

16 



2 
50 

265 

165 
.146 

202 
73 

434 
26 
35 

166 



Race 



Negro 



100, 196 



321 

117 

485 

1.481 

3,578 

5, 515 

11,719 

2.427 



25, 643 



Indian 



6.137 



3 

1 
9 
17 

47 

82 

164 

74 



397 



Chinese 



138 



53 



Japa- 
nese 



178 



All 
others 
(includes 
race un- 
known) 



2 


5 


1 




1 


1 


1 


3 


1 


4 


1 


8 




1 



2,361 



151 
224 

57 



530 



31 

42 

18 

39 

140 

119 

500 

214 

28 

338 

39 

38 

81 



134 



Table 36.— Suburban Arrests by Race, J965— Continued 










Arrest 


s under 18 








Total 






Race 






Offense charged 


White 


Negro 


Indian 


Chinese 


Japa- 
nese 


All 

others 

(includes 

race un - 

known) 


TOTAL 


241, 204 


217,416 


22, 523 


508 


43 


49 


665 






Oriminal homicide: 

(a) Murder and nonnegligent 


73 

37 

247 

1,091 

1,639 

21,202 

45,270 

11.963 


56 

27 

157 

672 

1. 137 

18. 205 

39, 057 

10, 590 


16 

10 

90 

413 

481 

2,817 

5,991 

1,303 






1 




(6) Manslaughter bv negligence- 


















Robbery 


2 
13 

30 
64 
31 






4 








8 


Burglary— breaking or entering 


1 

16 

4 


1 

16 

3 


88 
126 


Auto theft 


32 






Subtotal for above offenses 


81,522 


69, 961 


11,121 


140 


21 


21 


258 




5,356 

1,155 

479 

331 

39 

1,153 
19, 195 
2,049 

25 

2,752 

754 

185 

207 

466 

12,873 

5,464 

21,291 

973 

39,385 

5,111 

17, 966 

22, 474 


4,498 

1,106 

418 

313 

36 

945 

18, 201 

1,700 

24 

2, 485 

721 

135 

185 

452 

12,551 

5,194 

18, 858 

759 

36, 206 

4,521 

17,348 

20, 799 


838 

48 

57 

18 

3 

204 
943 
338 

1 

259 

26 

48 

21 

12 

246 

218 

2, 379 

211 

3,002 

573 

543 

1,414 


9 






11 


A rson 






1 


Forgerv and counterfeiting 


1 






3 










Embezzlement 










Stolen property; buying, receiving, 








4 




2 


1 


4 
3 


39 


Weapons; carrying, possessing, etc- . 
Prostitution and commercialized 


6 


Sex offenses (except forcible rape 
and prostitution) 


2 

37 
34 
17 

52 

35 
166 


2" 


1 


5 




5 






Offenses against family and children. 
















1 


2 


30 




18 




1 

5" 

2 

1 

9 


2 
2 

1 
1 
5 


34 


Vagrancy 




All other offenses (except traffic) 


113 

13 


Curfew and loitering law violations. _ 
Runaways - - 


38 
81 







135 



Table 36. — Suburban Arrests by Race, 1965 — Continued 



Offense charged 



TOTAL. 



Criminal homicide: 

(a) Murder and nonnegligent 
manslaughter 

(6) Manslaughter by negligence. 

Forcible rape 

Robbery 

Aggravated assault 

Burglary— breaking or entering 

Larceny — theft 

Auto theft 



Subtotal for above offenses. 



Other assaults 

Arson 

Forgery and counterfeiting 

Fraud 

E mbezzlemen t 

Stolen property: buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc... 
Prostitution and commercialized vice. 
Sex ofTenses (except forcible rape 

and prostitution) 

Narcotic drug laws 

Gambling--. 

OfTenses against family and children. 

Driving under the influence 

Liquor laws - ..- 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations. . 
Runaways 



Total 



521, 003 



870 

667 

1,520 

3,978 

10,231 

16,597 

32, 200 

6,705 



72, 768 



32, 358 
429 

5,200 
11,090 

2,095 

2,019 

3.074 

4,853 

913 

6,379 

3,583 

4,659 

15, 564 

47, 499 

21,857 

132, 756 

59, 355 

9,535 

74, 542 

10. 480 



Arrests 18 and over 



White 



438. 786 



558 

556 

1,114 

2,871 

7, 037 

13, 775 

26, 247 

5, 503 



57, 661 



25, 981 
366 

4,595 
10, 181 

1,866 

1,649 
2,775 
3,216 

688 

5,618 

3, 072 

2,251 

12, 433 

42, 670 

19, 706 

112, 438 

48, 908 

7,952 

63, 991 



Race 



Negro 



77. 673 



305 
107 
395 
1,068 
3, 097 
2,698 
5,728 
1,124 



14. 522 



6.199 

61 

580 

894 

226 

355 

285 

1,596 

215 

725 

461 

2,381 

3, 039 

4. 403 

1,938 

16, 673 

10, 072 

1,482 

9,911 

1.655 



Indian 



3 
1 

9 
15 
34 
52 
•100 
43 



264 
128 
,112 
185 

72 
382 

25 



Chinese 



Japa- 
nese 



All 
others 
(includes 
race un- 
known) 



1.696 



2 
2 

12 

8 
26 

7 

26 
37 
18 
39 

140 
83 

482 

180 
28 

225 
26 



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141 



Table 41. — Rural Arrests by Race, 1965 

[835 agencies: 1965 estimated population 18, 5'J5, 000] 





Total arrests 




Total 


Race 


Offense charged 


White 


Negro 


Indian 


Clilnese 


Japa- 
nese 


All 
others 
(includes 
race un- 
known) 


TOTAL 


249, 366 


207, 193 


24, 944 


14, 708 


31 


98 


2 392 






Criminal homicide: 

(a) Murder and nonnegligent 
manslaughter 


540 

314 

778 

1,044 

4,982 

13, 408 

16,733 

4,546 


358 

253 

593 

775 

3, 501 

11,653 

14, 214 

! 3, 886 


155 
50 

135 

213 
1.221 
1,127 
1,829 

306 


18 

8 

44 

42 

191 

470 

484 

314 






9 


(b) Manslaughter by negligence- 
Forcible rape 


2 

1 
1 


3 
2 
2 

16 


4 




12 


Aggravated assault 


47 


Burglary— breaking or entering 


143 
189 


Auto theft 


40 










Subtotal for above offenses 


42, 325 


35, 233 


5,036 


1,571 


* 


37 


444 


Other assaults- . .. . - . . . .. 


10, 084 

398 

3,374 

8,473 

930 

974 
4,173 
1,624 

133 

2,297 

407 

1,245 

8,990 

22, 504 

16, 837 

54,983 

15.943 

3,567 

40, 526 

2,699 

1,214 

5, 166 

1 


7,750 

367 

1 3, 364 

i 7, 805 
854 

838 
3, 855 
1, 165 

89 

2,025 

356 

869 

7, 664 

19. 552 

14,858 

41, 929 

12,476 

3, 125 

34. 858 

2. 326 

1,046 

4.789 


1.909 

15 

.356 

550 

65 

89 
131 
435 

40 

178 
28 

355 
1,075 
1,586 
1,169 
5,223 
1,966 

288 
4,019 

281 
29 

121 


291 

16 

1.36 

84 
10 

30 

lot 

10 

3 

56 

6 

3 

220 

1,249 

684 

7.184 

1,262 

127 

1,255 

77 

96 

234 


2 


7 


125 


Arson 




Forgerv and counterfeiting _., 


1 
2 


1 
1 


16 




31 


Embezzlement 


1 


Stolen property; buying, receiving, 


1 


-- 


16 


Vandalism 

Weapons; carrving, possessing, etc.. . 


14 


Prostitution and commercialized 
vice 






1 


Sex offenses (except forcible rape and 
prostitution) 






38 


Narcotic drug laws 


3 

1 
5 



_- 

2 

.- 


2 

1 

f 
2 
4 
3 
3 
22 


12 




16 


Offenses against family and children . 
Driving under the influence 


26 
116 




124 


Drunkenness 


638 


Disorderlv conduct... 


234 


Vagrancy .. 


24 


All other offenses (except traffic) 


368 
15 


Curfew and loitering law violations. . 
Runawavs 


.- 


7 
1 


36 
20 







142 



Table 41. — Rural Arrests by Race, 1965 — Continued 





Arrests under 18 




Total 






Race 






Offense charged 


White 


Negro 


Indian 


Chinese 


Japa- 
nese 


All 
others 
(includes 
race un- 
known) 


TOTAL 


42, 316 


37, 646 


2,212 


1,827 


2 


57 


572 






Criminal homicide: 

(a) Murder and uonnegHgent 


35 

13 

113 

128 

342 

5,909 

5,657 

2,144 


26 
11 

105 

261 

5,219 

4,939 

1.912 


9 

25 
17 
57 
385 
467 
92 


2 








(6) Manslaughter by negligence 








Forcible rape - 


10 




1 




Robbery 


6 


x\ggravated assault 


22 
190 
135 
117 






2 


Burglary— breaking or entering 




12 
16 


103 
100 


Auto theft 


23 










Subtotal for above offenses 


14. 341 


12, 550 


1,052 


476 




29 


234 


Other assaults 


610 
150 
321 
108 
9 

250 

2,729 

193 

3 

381 

29 

38 

57 

233 

4,929 

1,524 

2.167 

256 

6,863 

745 

1,214 

5,166 


513 
139 
273 
102 
9 

218 

2,532 

175 

3 

321 

24 

27 

55 

209 

4,607 

1,202 

1.870 

224 

6, 103 

655 

1,046 

4,789 


75 
1 

39 
1 


12 
10 
4 
3 




1 


9 


Arson 












Fraud 






2 










Stolen property; buying, receiving, 
possessing 


17 
57 
16 


10 

70 

1 






5 






6 


64 


Weapons; carrying, possessing, etc_— 
Prostitution and commercialized 
vice 


1 








Sex offenses (except forcible rape and. 


32 


7 
2 






21 






1 


2 




11 

1 

2 

46 

38 

169 

9 

414 

82 

29 

121 




Offenses against family and children. 








1 


21 

251 

274 

114 

6 

231 

5 

96 

234 






1 






1 


24 




10 




1 


10 


13 


Vagrancy 


16 


All other offenses (except traffic) _-_-- 


105 
3 


Curfew and loitering law violations- 
Runaways - - 


i 


7 
1 


36 

20 







143 



Table 41. — Rural Arrests by Race, 1965 — Continued 



Offense charged 



TOTAL. 



Criminal homicide: 

(a) Murder and nonneghgent 
manslaughter 

(6) Manslaughter by negligence. 

Forcible rape 

Robbery 

Aggravated assault 

Burglary— breaking or entering 

Larceny— theft 

Auto theft 



Subtotal for above offenses. 



Other assaults 

Arson 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc... 
Prostitution and commercialized 

vice 

Sex offenses (except forcible rape and 

prostitution) 

Narcotic drug laws 

G am bling 

Offenses against family and children. 

Driving under the influence 

Liquor laws 

Drunkenness 

D isor derly conduct 

Vagrancy 

All other oflenses (except traffic) 

Suspicion 

Curfew and loitering law violations.. 
Runaways 



Total 



207, 050 



505 

301 

665 

916 

4,620 

7,499 

11,076 

2,402 



27, 984 



9,474 

248 

3.553 

8,365 

921 

724 
1,444 
1,431 

130 

1,916 
378 

1,207 

8,933 
22,271 
11,908 
53, 459 
13, 776 

3,311 
33, 663 

1,954 



Arrests 18 and over 



White 



169, 547 



332 

242 

516 

670 

3,240 

6,434 

9,275 

1,974 



22, 683 



7,237 

228 

3,091 

7,703 

845 



1,323 
990 



1,704 
332 

842 

7,609 

19, 343 

10, 251 

40, 727 

10, 606 

2,901 

28, 755 

1,671 



Race 



Negro 



2,732 



148 
48 

110 

196 
1,164 

742 
1,362 

214 



3,984 



1,834 

14 

317 

549 

65 

72 

74 

419 

40 

146 
28 

344 
1,074 
1,584 
1,123 
5,185 
1,797 

279 
3,605 

199 



Indian 



12,881 



34 
42 
169 
280 
349 
197 



1,095 



279 

6 

132 

81 
10 

20 
34 
9 



49 

4 

3 

220 

1,228 

433 

6,910 

1,148 

121 

1,024 

72 



Chinese 



Japa- 
nese 



All 
others 
(includes 
race un- 
known) 



4 
6 
45 
40 
89 
17 

210 

116 



17 

10 

16 

25 

115 

100 

628 

22] 

8 

263 

12 



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145 



Police Employee Data 

This section contains tables relating to police personnel. Figures 
showing police strength by number of full-time police officers and 
civilian employees are based on national averages. These figures 
should not be interpreted as indicating recommended or desirable 
police strength. Adequate police requu'ements for a specific place 
can only be determined following careful study and analysis of the 
local situation together with a thorough evaluation of the numerous 
factors which aft'ect local police needs. 

Two tables containing police employee rates are set forth. In the 
first, total employees including civilian personnel are used, whereas 
in the second table only sworn personnel are used to compute rates. 

The police employee rate ranges in Table 43, which include civilians, 
show the interquartile range between the upper limits of the lowest 
quartile and the lower limits of the highest quartile. In other words, 
50 percent of the cities shown in each population group and geo- 
graphic division have a police strength within the rate ranges shown. 
By arraying rates in this manner, extremes are eliminated. 

In Table 44 where rates are published for police officers, complete 
rate ranges are provided as supplemental data for those who may be 
interested in using these figures to make limited comparisons. 

Another table is presented this year showing police strength for all 
state police and state highway patrol organizations. This table is 
designed to show, by state, the number of miles of state and Federal 
highway per sworn employee, as well as the number of registered 
vehicles per officer. These rates are only a rough yardstick as to 
comparative workload and personnel strength because of widely dif- 
fering functions and other factors. The wide variations in sworn and 
civilian personnel among the various states can be accounted for in part 
by the differences in responsibilities assigned to the departments. It 
is pointed out, for instance, that state police generally are responsible 
not only for traffic patrol, but also conduct a major portion of the 
criminal investigative work in the unincorporated areas of the states. 
On the other hand, the activity of the state highway patrol organiza- 
tions for the most part are limited to traffic and highway patrol, which 
includes handling all types of crime which come to their attention 
during the performance of their patrol functions. Many of these state 

147 



highway patrol groups also are authorized to and do participate in 
criminal investigative work when requested to do so by local depart- 
ments or sheriffs' offices. 

Tlie annual collection of police employee data provides figures for 
police killed and assaulted. Collection of these data is supplemented 
with respect to police killed in the line of duty by the use of a special 
questionnaire, through the use of which additional details on this 
important subject are accumulated. Data relative to police killed 
and assaulted are also presented in the Summary Section of this 
publication. 

Table 43. — Full-Time Police Department Employees,^ December 31, 1965, 
ISumher and Rate per 1,000 Inhabitants, by Geographic Divisions and 

Population Groups 

[1965 estimated population] 





TOTAL 


Population group 










1 




(3,613 


Group I 


Group II 


Group III 


Group IV 


Group ^' 


Group VI 


Geographic division 


cities; 


(55 cities 


(92 cities, 


(217 cities. 


(433 cities. 


(974 cities, 


(1,842 cities 




population 


over 


100.000 to 


50.000 to 


25,000 to 


10.000 to 


under 




109,633,000) 


250,000; 


250,000; 


100.000: 


50,000; 


25,000; 


10,000; 






population 


population 


population 


population 


population 


population 






41,822,000) 


13.035.000) 


14,891,000) 


15.061.000) 


15.016,000) 


9,806,000) 


TOTAL: 3,613 cities; 
















population 109,633,000: 
















Number of police 














employees 


212, 883 


110.666 


22, 069 


22.689* 


21. 984 21. 008 14. 567 


Average number of 












employees per 












1,000 inhabitants.- 


1.9 


2.6 


1.7 


1.5 


1.6 1.4 1.6 


Interquartile range. 


1. 1-1. 8 


1. 6-2. 7 


1. 3-1. 9 


1. 2-2. 1 


1.1-1.7 1.1-1.6 1.0-1.8 


New England: 331 













cities; population 










1 


8,216,000: 












Number of police 














employees 


15. 746 


2. 696 


2.842 


4,022 


2.941 2.372 


873 


Average number of 
















employees per 
















1,000 inhabitants. 


1.9 


i 4.1 


2.5 


1.9 


1.7 


1.4 


1.2 


Interquartile range. 


1. 1-1. 7 


(2) 


2. 1-2. 7 


1. 6-2. 


1.4-1.9 


1.1-1.5 


0. 7-1. 4 


Middle Atlantic: 776 
















cities ; population 
















24,456,000: 




1 












Number of police 










': 




employees 


62. 967 


42. 847 


3.254 


4.289 


4,423 ; 4.930 


3.224 


Average nmnber of 










1 




employees per 
















1,000 inhabitants. 


2.6 


3.6 


2.0 


1.6 


1. 7 


1.5 


1.4 


Inter rjuart lie range- 


1. 0-1. 8 


2. 9-3. 8 


1.8-2.3 


1. 0-2. 1 


1.2-2.0 


1.1-1.8 


0. 8-1. 7 


East North Central: 810 










' 




cities ; population 










' 




23,827,000: 














Number of police 














employees.- 


45. 367 


25, 129 


3,714 


4.330 


4.533 4,397 


3.264 


Average number of 
















employees per 
















1,000 inhabitants. 


1.9 


2.7 


1.6 


1.4 


1.4 


1.3 


1.4 


Interquartile range. 


1. 1-1. 6 


1. 6-3. 


1.5-1.7 


1.1-1.6 


1.1-1.5 ! 1.1-1.5 


1.0-1.6 


West North Central: 399 










1 




cities; population 
















8,369,000: 
















Number of police 
















employees 


13, 021 


5,904 


1.156 


944 


1.510 1.861 


1,646 


Average number of 














employees per 














1,000 inhabitants. 


1.6 


2.2 


1.3 


1.2 


1.2 1 1.2 


1.4 


Interquartile range. 


1.0-1.6 


1. 4-2. ] 


1.2-1.3 


0.9-1.3 


1.0-1.3 


1.0-1.5 


1.0-1.6 



See footnotes at end of table. 



148 



Table 43. — Full-Time Police Department Employees,^ December 31, 1965, 
Number and Rate per 1,000 Inhabitants, by Geographic Divisions and 
Population Groups — Continued 

[1965 estimated population] 





TOTAL 


Population group 


















(3,613 


Group I 


Group II 


Group III 


Group IV 


Group V 


Group VI 


Geographic division 


cities; 


(55 cities 


(92 cities. 


(217 cities, 


(433 cities. 


(974 cities. 


(l,842cities 




population 


over 


100,000 to 


50,000 to 


25,000 to 


10,000 to 


under 




109,633,000) 


250,000; 


250,000; 


100,000; 


50,000; 


25,000; 


10,000; 






population 


population 


population 


population 


population 


population 






41,822,000) 


13,035,000) 


14,891,000) 


15,061,000) 


15,016,000) 


9,806,000) 


South Atlantic: 321 
















cities; population 
















10,661,000: 
















Number of police 
















employees 


21. 892 


9.431 


4,258 


2,324 


2,124 


2,088 


1,667 


Average number of 
















employees per 
















1,000 inhabitants. 


2.1 


2.8 


1.6 


1.8 


1.6 


1.7 


1.9 


Interquartile range- 


1. 4-2. 1 


1.7-3.6 


1.3-1.8 


1.5-1.9 


1.4-1.8 


1. 4-2. 1 


1. 3-2. 2 


East South Central: 135 
















cities; population 
















4,570,000: 
















Number of police 
















employees 


7,224 


2,830 


1,583 


456 


1,070 


688 


597 


Average number of 
















employees per 
















1,000 inhabitants- 


1.6 


1.6 


1.6 


1.7 


1.6 


1.4 


1.6 


Interquartile range- 


1. 3-1. 8 


1.5-1.6 


1.5-1.9 


1.4-2.0 


1.4-1.7 


1. 1-1. 7 


1. 2-2. 


West South Central: 258 
















cities; population 
















10,174,000: 
















Number of police 
















employees 


13, 960 


6.889 


2,154 


1,476 


1,311 


1,256 


874 


Average number of 
















employees per 
















1,000 inhabitants- 


1.4 


1.5 


1.4 


1.2 


1. 1 


1.2 


1.4 


Interquartile range- 


1.0-1.5 


1. 2-1. 9 


1. 2-1. 4 


1.1-1.4 


1.0-1.3 


0. 9-1. 5 


1.0-1. 7 


Mountain: 176 cities; 
















population 4,502,000: 
















Number of police 
















employees 


6,719 


2,442 


605 


913 


1,190 


750 


819 


Average number of 
















employees per 
















1,000 inhabitants- 


1.5 


1.6 


2.0 


1.4 


1.3 


1.3 


1.6 


Interquartile range- 


1. 2-1. 8 


1. 3-1. 8 


1. 9-2. 5 


1.0-1.6 


1.2-1.4 


1.0-1.5 


1.3-1.9 


Pacific: 407 cities; 
















population 14,858,000: 
















Number of police 
















employees 


25, 987 


12,498 


2.503 


3,835 


2,882 


2,666 


1,603 


Average number of 
















employees per 
















1,000 inhabitants- 


1.7 


2.1 


1.5 


1.4 


1.5 


1.6 


1.9 


Interquartile range- 


1. 3-1. 9 


1.3-2.3 


1.3-1.7 


1.2-1.5 


1.2-1.6 


1.3-1.8 


1. 4-2. 3 



Suburban Po 


ice and County Sheriff Departments 




Suburban: 3 1,770 agencies; population 
40,251,000: 

Mnmhpr nf nnlir»p pninlnvppc: 


55, 040 

1.4 
1.0-1.6 


Sheriffs: 1,154 agencies; population 
32,357,000: 
Number of police employees - - 


32,159 


Average number of employees per 
1 000 inhabitants 


Average number of employees per 
1 ,000 inhabitants 


1.0 


Interquartile range 


Interquartile range. - 


0. 3-0. 9 









' Includes civilians. 

■' Only one city this size in geographic division. 

3 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 



1-1:9 



Table 44. — Full-Time Police Department Officers, December 31, 1965, Number 
and Rate per 1,000 Inhabitants, by Geographic Dii^isions and Population 

Groups 

[1965 estimated population] 









Populati 


on group 








TOTAL 

(3,613 




























cities; 


Group I 


Group II 


Group III 


Group IV 


Group V 


Group VI 


Geo{?raphic division 


population 


(55 cities 


(92 cities. 


(21 7 cities. 


(433 cities, 


(974 cities, 


(1,842 cities 




109, 633, - 


over 


100,000 to 


50,000 to 


25,000 to 


10.000 to 


under 




000) 


250,000; 


2.50,000; 


100,000; 


50,000; 


25,000; 


10.000; 






population 


population 


population 


population 


population 


population 






41.822.000) 


13,035,000) 


14.891.000) 


15.061.000) 


15,016.000) 


9,806,000) 


TOTAL: 3,613 cities; 
















population 
















109,633,000: 
















Number of police 
















oificers 


190, 005 


98, 147 


19, 239 


20, 191 


19. 972 


19.370 


13. 086 


Average number of 














officers per 1.000 




i 












inhabitants 


1.7 


! 2.3 


1.5 


1.4 


1.3 


1.3 


1.3 


Rate range 


0. 1-7. 5 


1.0-3.8 


0. 8-2. 7 


0. 6-3. 2 


0. 2-3. 3 


0. 1-5. 2 


0. 1-7. 5 


New England: 331 














cities; population 














8,216,000: 














Number of police 






1 








officers 


14, 789 


2, 495 


2, 608 1 3, 766 


2,801 


2.289 


830 


Average number of 












officers per 1,000 






j 








inhabitants 


1.8 


3.8 


2.3 


1.8 


1.6 


1.3 


1.1 


Rate range 


0.2-3.8 


(1) 


2. 0-2. 7 


1. 1-2. 6 


0. 9-2. 7 


0. 5-3. 


0. 2-3. 5 


Middle Atlantic: 776 
















cities; population 
















24,456,000: 
















Number of police 
















officers 


58, 651 


39, 842 


2.930 


3,953 


4,197 


4, 710 


3,019 


Average number of 












officers per 1,000 
















inhabitants 


2.4 


3.3 


l.« 


1.5 


1.6 


1.4 


1.3 


Rate range 


0. 1-5. 7 


1.6-3.5 


1.3-2.3 


0. 6-3. 2 


0. .5-3. 3 


0. 1-5. 2 


0. 1-5. 7 


East North Central: 810 
















cities; population 
















23.827,000: 
















Number of police 
















officers 


40. 529 


22, 367 


3,297 


3.891 


4,086 


4. 016 


2,872 


Average number of 
















officers per 1,000 
















inhabitants 


1.7 


2.4 


1.4 


1.2 


1.2 


1.2 


1.2 


Rate range 


0. 2-4. 4 


1.0-2.9 


1.1-1.7 


0. 6-2. 5 


0. 7-2. 7 


0. 3-3. 1 


0. 2-4. 4 


West North Central: 




399 cities ; population 
















8,369,000: 
















Number of police 
















officers 


11,099 


4,758 


1,008 


838 


1,355 


1,683 


1,457 


Average number of 
















officers per 1,000 
















inhabitants 


1.3 


1.8 


1.1 


1.0 


1.0 


1.1 


1.2 


Rate range 


0. 3-3. 7 


1.1-2.8 


0.8-1.5 


0.6-1.3 


0.4-1.5 


0. 5-2. 7 


0. 3-3. 7 


South Atlantic: 321 
















cities; population 




1 












10,661,000: 




! 












Number of police 
















officers 


19, 367 


8,267 


3,706 


2, 065 


1,881 


1,931 


1,517 


Average number of 
















officers per 1,000 
















inhabitants 


1.8 


2.5 


1.4 


1.6 


1.5 


1.6 


1.7 


Rate range 


0. 3-7. 5 


1.3-3.6 


0. 9-2. 


1.0-2.7 


0. 6-2. 


0. 4-3. 6 


0. 3-7. 5 


East South Central: 
















135 cities; population 
















4,570,000: 
















Number of police 
















officers 


6,239 


2,366 


1,289 


411 


985 


647 


541 


Average number of 
















officers per 1,000 
















inhabitants 


1.4 


1.3 


1.3 


1.6 


1.4 


1.3 


1.4 


Rate range 


0. 2-4. 2 


1.2-1.4 


1.1-1.7 


1.3-2.0 


1.1-1.8 


0. 6-2. 1 


0. 2-4. 2 



See footnotes at end of table. 



150 



Table 44. — Full-Time Police Department Officers^ December 31, 1965, Number 
and Rate per 1,000 Inhabitants, by Geographic Divisions and Population 
Groups — Continu eel 

(1965 estimated population) 





TOTAL 

(3,613 

cities; 

population 

109,633,000) 


Population group 


Geographic division 


Group I 

(55 cities 
over 

250,000; 
population 
41,822.000) 


Group II 

(92 cities, 
100,000 to 
250,000; 
population 
13,035,000) 


Group III 

(217 cities, 
50,000 to 
100,000; 
population 
14,891.000) 


Group IV 
(433 cities, 

25,000 to 

50,000; 
population 
15,061,000) 


Group V 
(974 cities, 
10,000 to 
25,000; 
population 
15,016,000) 


Group VI 
(1,842 cities 
under 
10,000; 
population 
9,806,000) 


West South Central: 
258 cities; population 
10.174,000: 
Number of police 
officers 


12, 093 

1.2 
0. 3-2. 4 

5,725 

1.3 
0. 2-3. 2 

21.513 

1.4 
0. 2-3. 7 


5, 900 

1.3 
1.0-1.8 

2,037 

1.3 
1.0-1.5 

10, 115 

1.7 
1.0-1.9 


1.836 

1.2 
0.9-1.6 

499 

1.6 
1..3-2.3 

2, 066 

1.3 
1.0-1.7 


1,319 

1. 1 
0.6-1.5 

803 

1.2 
0.9-1.7 

3,145 

1.2 
0.9-1.9 


1, 171 

1.0 
0. 5-1. 4 

1,033 

1.1 
0. 5-1. 6 

2,463 

1.3 
0. 2-3. 2 


1, 111 

1.0 
0. 3-2. 4 

653 

1.1 
0. 4-2. 2 

2,330 

1.4 
0. 7-2. 5 


756 


Average number of 
officers per 1,000 
inhabitants 


1.2 
0. 4-2. 4 


Mountain: 176 cities; 
population 4,502,000: 

Number of police 
officers ... 


700 


Average number of 
officers per 1,000 
inhabitants 

Rate rans;e 


1.4 
0. 2-3. 2 


Pacific : 407 cities ; 
population 14,858,000: 

Number of police 


1,394 


Average number of 
officers per 1,000 
inhabitants 


1.6 
0. 4-3. 7 







Suburlian Police and County Sheriff Departments 



Suburban: -' 1,770 agencies; population 
40,251,000: 

Number of police officers 

Average number of officers per 1,000 

inhabitants 

Rate range 



48. 446 



1.2 
0. 1-7. 5 



Sheriffs: 1,154 agencies; population 
32,357,000: 

Number of officers 

Average number of officers per 1,000 

inhabitants 

Rate range 



27, 299 



0.8 
0. 1-9. 7 



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. All rates were calculated on the population before 
rounding. 



151 



Table 45.— Civilian Police Department Employees. December 
Percentage of Total by Population Group 



31. 1965. 



Population group 



TOTAL, ALL CITIES 

Group I (over 250,000) 

(Overl ,000,000) 

(500,000-1,000,000) 

(250,000-500,000) 

Group II (100,000-250,000)-. 
Group III (50,000-100,000) __ 
Group IV (25,000-50,000)-.. 

Group V (10,000-25,000) 

Group VI (2.500-10,000) . . .. 

Suburl)an agencies 

Sheriflfs 



Percentage 

civilian 
employees 



10.7 



11.3 
9.6 
12.4 
14.9 
12.8 
10.6 
9.2 
7.8 
10.2 

12.0 
15.1 



Table 46. — \umber of Police Officers Killed.^ 1965. by Geographic Divisions 

and Population Groups 





1 TOTAL 


Population group 


Geographic 
division 


' Group I 


Group II JGroupIII Ciroup IV (Iroup V 


Group VI 


County, 
State 




i Over 
i 250,000 


100,000 to ' 50,000 to : 25,000 to ! 10,000 to 
250,000 100,000 50,000 , 25,000 


Under 
10,000 


Police and 

Highway 

Patrol 


TOTAL 


83 


20 


',- — 


6 


12 


40 




3 
10 
10 

3 

.! 16 

.: 9 

14 

7 
12 










1 
1 
1 


2 

i 

1 




Middle Atlantic 


! 3 

i 


1 


1 




3 


Ea'^t \orth Central 




3 


West North Central 








3 


South Atlantic 


2 
2 


1 
1 








3 

] 

3" 

] 


9 


East South Central 








5 


AVest South Central 






2 

1 


9 




- 






2 


Pacific 


4 




1 




6 















53 killed by felons; 30 killed in accidents. 



152 



.0 

s 

I 

c 






!^ * 



t- CC- ^ 



00 00 

30 CO 



^ 3 



CO ^ ^ 



a. 







I 






35 g- 




C C- — s ^-^ 

^ S 2 o 

o ° o =^. = 

,_3 S CM O O IC 

^ o 5 o c o 

5 ^ 3 o 3 o 2 ic" D o" 

OO o— OO CCM o — 



X3 (B 

3x; 

O) rj-j 



i^icCMoooocor^oioo 

OJ 35 OJ 30' t^ 00 OO' CM O 



00 oooo-HkOi^oo-Heo 

(M ■^CDCM<M(X>CQa5>0»-i 

•o ll-HaDeoo>ri(Mcoa>'0 

p I « >0 C9 -H CO »^' ca 









|p||i||l 

:?; § a 5: cB w :^ S p^ 



221-740' 



-ce- 



ll 



Table 48. — Full-Tlrne State Police and Highway Patrol Employees, 
December 31, 1965 



Alabama 

Alaska 

Arizona.--. 

Arkansas 

California 

Colorado 

Connecticut 

Delaware 

Florida 

Georgia 

Idaho 

Illinois 

Indiana 

Iowa 

Kansas 

Kentucky 

Louisiana 

Maine 

Maryland 

Massachusetts--- 
Michigan 

Minnesota 

Mississippi 

Missouri 

Montana 

Nebraska 

Nevada 

New Hampshire 

New Jersey 

New Mexico 

New York 

North Carolina-. 
North Dakota.-- 

Ohio-- 

Oklahoma 

Oregon 

Pennsylvania 

Rhode Island 

South Carolina. - 
South Dakota.. - 

Tennessee 

Texas 

Utah 

Vermont 

V^irginia 

Washington 

West Virginia.. - 

Wisconsin 

Wyoming 



TOTAL 



510 
147 
414 



277 
502 
771 



1,378 

743 I 

175 

1,717 

1.065 ' 

544 '■ 

333 
692 
749 
297 

1,078 , 
785 

1,573 ! 



Police 
officers 



472 
618 
1.000 
197 
296 
71 
157 

1,403 
306 

2,909 

891 

92 

1.395 
569 

651 
2,641 
152 
481 
147 
888 
2,430 

234 
190 
1,074 
737 
410 
416 



Police 
killed 



433 
107 
324 
248 
3, 135 
337 
557 

226 
694 
547 
146 
1,179 
733 
350 

250 
468 
569 
246 
788 
647 
1,255 

377 
462 
538 
143 
245 
56 
134 

1, 145 
230 

2, 588 
698 

78 
846 
313 

556 
2,285 
127 
429 
108 
631 
1, 374 

226 
123 
765 
421 
312 
232 
87 



40 
90 
85 
I, 142 
165 
214 

58 
684 
196 

29 
538 
332 
194 

83 
224 
180 

51 
290 
138 
318 

95 
156 
462 
54 
51 
15 
23 

258 
76 
321 
193 
14 
549 
256 

95 

3.56 

25 

52 

39 

257 

1, 0.56 



67 
309 
316 

98 
184 

11 



Miles of 
primary 
highway 
per police 
officer 



21.8 
20.0 
1.5. 7 
48.9 

4.5 
24.8 

2.2 

2.7 
15.6 
.30.1 
32.6 
13.5 
14.9 
28.3 

41.2 
4,5.1 
7.7 
14.8 
2.4 
3.8 
7.3 

31.6 
23.1 
16.3 
41.2 
38.2 
37.3 
14.0 

1.7 
45.0 

5.2 
18.6 
81.1 
21.8 
37.6 



7.6 
21.8 
70.9 
13.9 
44.4 

24.4 
18.3 
11.3 
10.0 
16.4 
.50.3 
63.1 



State motor 

vehicle 

registrations 

per police 

officer 



154 



Table 49. — Number of Full-Time Police Department Employees j December 31, 
1965, Cities 25,000 and over in Population 



Citv 1)V state 


Nuini)er of police depart- 
ment employees 


City by state 


Number of police 
ment employ 


depart- 
ees 




Total 


Police 
oflficers 


Civilians 


Total 


Police 
officers 


Civilians 


ALABAMA 

Bessemer 

Binningham 


51 

542 

44 

60 

58 

81 

203 

321 

227 

42 

101 

92 

32 
41 
55 

798 
59 
42 

349 
42 

23 
35 
98 
44 
196 
99 
62 

81 

90 

255 

74 

49 

164 

53 

166 

94 

86 

166 

39 

70 

130 

83 

96 

41 

65 

64 

106 

56 

37 

74 

43 

32 

90 

289 

127 

64 

137 

168 

33 

54 

99 

89 

50 

126 


60 

482 

40 

58 

53 

78 

155 

256 

192 

41 

95 

70 

29 
38 
49 

677 
50 
38 

266 
41 

22 
29 
92 
43 
177 
94 
59 

74 
74 
207 
64 
44 
128 
41 
153 
87 
65 
137 
30 
57 
102 
63 
74 
34 
57 
55 
87 
44 
31 
56 
37 
27 
76 
225 
100 
54 
112 
134 
29 
48 
84 
72 
45 
95 


1 

60 

4 

2 

5 

3 

48 

65 

35 

1 

6 

22 

3 
3 
6 
121 
9 
4 
83 
1 

1 
6 
6 
1 
19 
5 
3 

7 

16 
48 
10 

6 
36 
12 
13 

21 

29 

9 

13 

28 

20 

22 

7 

8 

9 

19 

12 

6 

18 

6 

6 

14 

64 

27 

10 

25 

34 

4 

6 

15 

17 

5 

31 


CALIFORNIA— Con. 

La llabra 

La Mesa 


50 
37 
26 
42 

704 
6,613 
45 
60 
37 
79 
51 
58 
61 
60 
61 
43 
55 
97 
25 

835 
66 
77 
82 
80 
25 
82 

214 
11 

105 
66 
68 
73 

168 

173 

446 
91 

214 
39 

853 

2,035 

42 

388 
81 
40 

100 
63 

201 

92 

61 

44 

163 

t 60 

1 84 

1 51 

i 179 

102 

179 

32 

86 

62 

72 

58 

89 

34 

64 
58 
146 
981 
43 
34 
46 
137 


38 
34 
21 
42 
599 

6,181 
39 
40 
37 
65 
44 
52 
39 
51 
58 
36 
46 
75 
21 
638 
49 
68 
68 
73 
19 
76 
176 
11 
91 
49 
57 
64 
138 
137 
372 
71 
171 
32 
721 

1,786 

36 

357 

62 

37 

83 

40 

151 

80 

44 

38 

125 

48 

77 

41 

155 

79 

149 

25 

73 

54 

56 

46 

71 

27 
57 
68 
126 
819 
40 
26 
36 
121 


12 
3 




Livermore 


6 


T")ntbin 


Lodi 




Florence 


Long Beach 


105 






1, 432 


Iluntsville 


Lynwood 


6 


Mobile 


Manhattan Beach 

Menlo Park 


10 


Montgomery 

Selma 




Modesto 


14 




Monrovia ... _ 


7 




Montebello 


6 


ALASKA 


Monterey. ... .. 


12 




Monterey Park 

Mountain View 

Napa 


9 
3 




7 


ARIZONA 
Flagstaff 


National City 

Newport Beach 

Novato 


9 
22 
4 


Glendale 




197 


Mesa _ ._- _ 




(5 


Phoenix 




9 


Scottsdale 


Orange 


14 


Tempe 




7 


Tucson 




6 


Yuma 


Palo Alto 






Pasadena 


38 


ARKANSAS 


Pleasant Hill 






Pomona 


14 




Redlands 


7 


Fort Smith 


Redondo Beach 

Redwood City 

Richmond 


11 


Hot Springs.. 


9 


T.ittlo T?nr>lr 


30 


North Little Rock- _- 
Pine Bluff 


Riverside .. 


36 


Sacramento 


73 


Salinas... 


20 


CALIFORNIA 


San Bernardino 


43 


Alameda 


San Diego 


132 




San Francisco 

San Ciabriel 


249 


Anaheim 


6 


Arcadia 

Azusa 


San Jose 

San Leandro 


31 
19 


Bakersfield 


San Luis Obispo 

San Mateo 


3 


Baldwin Park 


17 


Berkeley 


San Rafael 


IS 


Beverly Hills 


Santa Ana 


5C 


Buena Park 


Santa Clara . 


12 


Burbank 


Santa Cruz 


t 


Burl in game 


Santa Maria 


fc 


Chula Vista 


Santa Monica 

Santa Rosa 

South Gate 


3^ 


Compton 

Concord 






South San Francisco. 
Stockton 


1( 


Covina 


2' 


Culver City .. . -. 


Sunnyvale _. 


2{ 


Daly City 


Torrance 

Upland 


3( 




t 


El Cajon 


Vallejo 


IC 


El Cerrito. .- 


Ventura 

West Covina. 


e 


El Monte 


n 




Westminster... 


r. 


Fairfield 


Whittier. 


u 




COLORADO 

Arvada 




Fresno 




FuUerton.. .. 






' 








Glendale 


Boulder 




Glendora 

Hawthorne 


Colorado Springs 

Denver 


2( 
16^ 








Huntington Beach... 

Huntington Park 

Inglewood 


Fort Collins 


^ 


Greeley ... . 


1 


Pue))lo 


It 



155 



Table 19. — Number of Fidl-Time Police Department Em^ployees^ December 31, 
1965, Cities 25,000 and over in Population — Continued 



City by state 


Number of police depart- 
ment employees 




Total 


Police 
officers 


Civilians 


CONNECTICUT 

Bridgeport .. 


391 
62 
65 
76 
39 
68 

134 
78 

385 

57 

91 

53 

90 

164 

427 

75 

143 

49 

28 

218 

81 

48 

30 

38 

235 

107 

74 

41 

254 

3. 159 

98 

101 

116 

301 

55 

52 

84 

108 

474 

39 

104 

869 

267 

55 

45 

197 

44 

119 

330 

61 

95 

677 

80 
888 
159 

31 
192 

30 

44 
166 

51 


374 
57 
65 
73 
37 
66 

114 
75 

348 

55 
81 
51 
86 

150 

408 
72 

128 
45 
28 

208 
76 
47 
29 
38 

225 
99 
73 
39 

223 

2.911 

71 
82 
87 

241 
43 
35 
71 
95 

393 
37 
85 

633 

205 
47 
4 2 

164 
37 

106 

252 
52 
88 

526 

79 
765 
136 

31 
179 

27 

43 
163 

45 


17 
5 


Bristol 


Danbury _ .__ 


East Hartford 

Eufield 


3 

2 

2 
20 

3 
37 

10 



4 

14 i 

V 

15 
4 


Fairfield .. 


Greenwich . 


Hamdea. _ .. 


Hartford 


Manchester 

Township 

Meriden . _____ 


Middletown. 


Milford Town 

New Britain. 


New Haven 


New London 

Norwalk.. . 


Norwich 


SouthingtonTown.. 


Stamford 


10 
5 
1 

1 


Stratford 


Torrington 


Trumbull 


Walliugford. _. 


\\'aterbury 


10 

8 : 
1 ; 

31 ,1 

248 I 

27 i 
19 ii 

Z\ 

1? 

13 

13 1 
81 

9 1 

19 
236 
62 

8 

3 
33 

13 

78 
9 

7 i 
151 

1 
123 
23 


West Hartford 

West Haven 

Westport 

DELAWARE 

Wilmington __ _ 


DISTRICT OF 
COLUMBIA 

Washington 

FLORIDA 

Clearwater 


Coral Gables 

Daytona Beach 

Fort Lauderdale 

Fort Alvers 


Fort Pierce ... 


Gainesville 


Hialeah . . 


Tacksonville.. 


Key West 


Lakeland. ... 


Miami .. 


Miami Beach 

North Miami 

North Miami Beach. 
Orlando . 


Panama City 

Pensacola 


St. Petersburg 

Sarasota.. 


Tallahassee 


Tampa 


GEORGIA 

Albany _. 


Atlanta 


Augusta 


College Park 


Columbus ._- 


13 
3 

'A 

6 1 


Decatur . 


La Grange 


Macon. "'_._ _ _ _ 


Marietta 



City by state 



Number of police depart- 
ment employees 



Total 



GEORGIA— Con. 



Rome 

Savannah. 
Valdosta. _ 



HAWAII 
Hilo 

Honolulu 



IDAHO 



Boise 

Idaho Falls. 
Pocatello.. _ 



ILLINOIS 



Alton 

Arlington Heights. 

Aurora 

BeUeville 

Berwyn 

Bloomington 

Calumet City 

Champaign 

Chicago 

Chicago Heights... 

Cicero 

Danville 

Decatur 

Des Plaines 

East St. Louis 

Elgin 

Elmhurst 

Evanston 

Evergreen Park. .. 

Freeport 

Galesburg 

Granite City 

Harvey 

Highland Park 

Joliet 

Lombard 

May wood 

Moline 

Morton Grove 

Mount Prospect- -. 

Niles 

North Chicago 

Oak Lawn 

Oak Park 

Park Forest 

Park Ridge 

Pekin 

Peoria 

Quincy 

Rockford 

Rock Island 

Skokie 

Springfield 

Urbana 

Villa Park 

Waukegan 

Wheaton 

Wilmette 



INDIANA 



Anderson 

Bloomington. 
East Chicago. 

Elkhart 

Evansville 

Fort Wavne-. 

Gary 

Hammond 



56 

203 

40 



49 
44 
93 
47 
63 
49 
26 
58 
11. 745 
59 

101 
47 
82 
55 

104 
72 
53 

141 
28 
34 
42 
41 
35 
42 
80 
31 
39 
54 
33 
31 
43 

20 
52 



Police 
ofiicers 



26 



52 
168 
39 



Civilians 



42 


39 


33 


32 


196 


178 


00 


52 


190 


166 


87 


71 


120 


107 


115 


92 


29 


26 


25 


21 


70 


63 


30 


27 


41 


33 


106 


92 


53 


41 


141 


135 


83 


70 


240 


224 


259 


251 


294 


255 


179 


164 



83 


ic 


648 


US 


88 


6 


58 


g 


46 


12 


42 


7 


37 


7 


84 


9 


42 


5 


58 


5 


44 


5 


23 


3 


56 


9 


10, 269 


1.476 


50 


S 


99 


2 


39 


8 


69 


13 


53 




90 


14 


54 


18 


49 


4 


109 


32 


26 


••> 


30 


4 


36 


6 


41 




35 




35 


7 


75 


5 


24 


7 


39 




47 


7 


30 


3 


26 


5 


39 


4 


18 


•> 


49 


3 



156 



Table 49. — Number of Full-Time Police Department Employees, December 31, 
1965, Cities 25,000 and over in Population — Continued 



City by state 


Number of police rlepart- 
iiient (Muployces 


City by state 


Number of police depart- 
ment employees 




Total 


Police 
officers 


Civilians 


Total 


Police 
officers 


Civilians 


INDIANA— Con. 

Indianapolis 


1. 027 
83 
66 
53 
62 
51 
111 
43 
64 
211 
116 

35 

41 

27 

138 

38 

60 

115 

256 

68 

44 

44 

34 

130 

106 

42 
242 
42 
24 
41 
32 
49 
169 
392 

46 

98 
176 
644 
67 
80 
59 

55 

308 

38 

46 

49 

83 

32 

1,249 

254 

33 

58 
62 
127 

3, 365 
63 
68 


916 
82 
65 
52 
58 
48 

104 
43 
60 

202 

109 

32 
32 
24 

121 
35 
58 

110 

231 
63 
•>7 
34 
32 

100 
94 

36 
192 
34 
23 
34 
30 
40 
142 
310 

45 

88 
150 
542 

54 

78 
57 

53 

271 

38 

42 

47 

71 

31 

1,087 

222 

32 

48 
55 
HI 

3,003 
59 
65 


111 
1 
1 
1 
4 
3 
7 


MASSACHUSETTS 

Arlington 

Attleboro 

Belmont 


91 

41 

51 

61 

2,696 

58 

149 

149 

240 

76 

97 

120 

258 

81 

82 

54 

77 

114 

139 

41 

37 

194 

124 

116 

55 

55 

51 

43 

249 

166 

43 

42 

89 

178 

100 

81 

155 

38 

102 

78 

40 

45 

54 

84 

44 

416 

52 

122 
79 
88 
45 

201 
61 
4,841 
54 
30 
47 

410 
38 

267 
81 

115 
38 
40 
85 

151 

216 
66 
93 
38 
31 
39 


82 

40 

47 

58 

2,495 

54 

143 

142 

230 

94 

117 

236 

74 

80 

52 

74 

112 

130 

39 

35 

181 

124 

112 

53 

54 

48 

42 

234 

160 

43 

42 

84 

165 

95 

76 

148 

37 

100 

74 

38 

43 

53 

82 

44 

362 

49 

107 
64 
83 
38 

179 
58 
4,401 
46 
28 
41 

324 
35 

226 
73 

100 
32 
38 
74 

124 

187 
63 
83 
34 
28 
38 


9 


Kokomo 


I 


Ivafavette 


4 


Marion 

Michigan City 

Mishawaka 


Beverly 

Boston 

Braintree 


3 

201 
4 


Muncie 


Brockton 


6 


New Albany ._ 


Brookline 

Cambridge 

Chelsea 




Richmond 

South Bend 


4 
9 

7 

3 

9 
3 

17 
3 
2 
5 

25 
5 

17 

10 

9 

30 
12 

6 
50 

8 
1 
7 
2 
9 
27 
82 

1 

10 

26 

102 

13 

2 

2 

2 
37 


10 
4 


Terre Haute 


Chicopee - -- 


3 




Everett 


3 


IOWA 


Fall River 


oo 




Fitchburg 


7 






2 




Gloucester 

Haverhill 


2 


Cedar Falls 


3 


Cedar Rapids 

Clinton 

Council Bluffs 


■) 


Lawrence 

Leominster 


9 


Davenport 

Des Moines 


Lexington 


•> 


Lowell 


13 


Dubuque 

Iowa City 

Mason Citv 


Maiden 




Medford 


4 


Melrose 


2 




Milton 


1 


Sioux City 


Natick 


3 


Waterloo 


Needham 

New Bedford 

Newton 


1 


KANSAS 


15 
6 




Northampton 

Norwood-. 




Kansas City_ 

Lawrence 


Pittsfield 


5 


Quincy 


13 


Leavenworth 


Revere 

Salem 


5 
5 


Prairie Village 

Salina 


Somerville 


7 


Wakefield 


1 


Topeka 

Wichita 


Waltham 


2 


Watertown 


4 




Welleslev 





KENTUCKY 


Westfield 





Bowling Green 

Covington 

Lexington 

Louisville 

Newport 

Owensboro 

Padueah 


West Springfield 


1 

9 


Woburn 






54 


MICHIGAN 

Allen Park 


3 




15 


LOUISIANA 


Battle Creek 


15 




Bay City 


5 


Alexandria 


Birmingham 

Dearborn 


7 


Baton Rouge 

Rn<5<jipr ("'itv 


99 


Dearborn Heights... 
Detroit 


3 


Houma 


4 

162 
32 

1 
10 

7 
16 

362 
4 
3 


440 


Lake Charles 


East Detroit 


8 


East Lansing 

Ferndale 


9 




(i 


New Orleans 


FUnt 


86 




Garden City 


3 


MAINE 


Grand Rapids 

Hamtramck 


41 

8 




Highland Park - 

HoUand.. 


15 

6 


Bangor 


Inkster.- 


2 


Lewiston 


Jackson. - 


11 


Portland 




27 


Lansing 


29 


MARYLAND 


Lincoln Park 

Livonia -- - 


3 

10 


Baltimore 

Cnmhprlnnd 


Madison Heights 

Midland 


4 
3 


Hagerstown 


Monroe 


1 



157 



Table 49. — Number of Full-Time Police Department Employees, December 31, 
1965, Cities 25,000 and over in Population — Continued 



City by state 



MICHIGAN— Con. 



Mount Clemens. 

Muskegon 

Oak Park 

Pontiac 

Port Huron 

Roseville 

Royal Oak 

Saginaw 

St. Clair Shores. 

Southfield 

Warren 

Wyandotte 

Wyoming 



MINNESOTA 



Austin 

Bloomington 

Brooklyn Center. 

Coon Rapids 

Crystal 

Duluth 

Edina 

Mankato 

Minneapolis 

Minnetonka 

Moorhead 

Richfield 

Rochester 

St. Cloud 

St. Louis Park... 

St. Paul 

Winona 



MISSISSIPPI 



Greenville. - 

Gulf port 

Hattiesburg. 

Jackson 

Laurel 

Natchez 

Vicksburg.. 



MISSOURI 



Columbia 

Ferguson 

Florissant 

Independence 

Jefferson City.... 

Joplin 

Kansas City 

Kirk wood 

Overland 

St. Joseph... 

St. Louis 

Sedalia 

Springfield 

University City. 
Webster Groves. 



MONTANA 



BilHngs 

Butte 

Great Falls. 
Missoula 



NEBRASKA 



Grand Island. 
Omaha 



Number of police depart- 
ment employees 



Total 



32 

87 
67 

140 
59 
56 

106 

157 
80 
59 

171 
65 
58 



37 
50 
24 
17 
25 

134 
32 
36 

792 
13 
23 
36 
72 
42 
41 

474 
38 



75 
46 
53 
328 
51 
54 
45 



58 
30 
62 
94 
37 
63 

1.174 
43 
32 
108 

2, 582 
31 
123 
59 
34 



76 



37 

490 



Police Civilians 
officers 



30 
72 
59 

116 
49 
53 
91 

140 
76 
46 

154 
58 
51 



35 
47 
20 
16 
24 

121 
28 
34 

725 
13 
23 
34 
72 
40 
39 

414 
37 



60 
45 
46 
267 
46 
54 
42 



51 
29 
52 
84 
37 
54 

897 
36 
26 
94 
1.987 
31 

117 
55 
29 



37 

425 



City by state 



6 

14 

595 



Number of police depart- 
ment employees 



NEVADA 



Las Vegas 

North Las Vegas. 
Reno 



NEW HAMPSHIRE 



Concord.-.- 
Manchester. 

Nashua 

Portsmouth. 



NEW JERSEY 



Atlantic City 

Bayonne 

Belleville 

Bergenfield 

Bloomfield 

Camden 

Cherrv Hill 

Clifton 

Cranford Township.. 
East Brunswick 

Township 

East Orange 

Edison 

Elizabeth 

Englewood 

Ewing Township 

Fair Lawn 

Fort Lee 

Garfield 

Hamilton Township. 

Hoboken. 

Irvington 

Jersey City 

Kearny 

Linden 

Livingston 

Lodi 

Long Branch 

Madison Townsiiip_. 
Middletown Town- 
ship 

Montclair ... 

Neptune Township.. 

Newark 

New Brunswick 

North Bergen 

Township 

Nutley 

Orange 

Paramus 

Parsippany-Troy 

Hills 

Passaic _-. 

Paterson 

Pennsauken 

Perth Amboy 

Piscatawav Township 

Pla infield 

Rahway 

Ridgewood 

Sayreville 

Teaneck Township 

Trenton 

Union City 

Union Township 

Vineland 

Westfield 

West New York 

West Orange 

Woodbridge Town- 
ship 



Total 



295 
52 
180 



46 
122 
76 
41 



230 
187 

65 

39 
10(i 
256 

55 
123 

41 

29 
168 
84 
273 
59 
30 
47 
45 
48 
98 
156 
111 
921 
120 
119 
42 
39 
48 
39 

40 

97 

41 

1,674 

89 

115 
53 

82 
64 

37 
132 
343 

46 
109 
36 
99 
()6 
40 
33 
62 
275 
122 
91 
48 
52 
81 



Police Civilians 
officers 



248 
50 
144 



42 
115 



40 



102 
239 

48 
115 

40 

26 
164 
80 
256 
59 
28 
45 
45 
46 
93 
154 
103 
828 
119 
116 
41 
38 
4() 
39 

37 

89 

41 

1.401 

86 

105 
51 
81 
61 

37 
120 
316 
39 
95 
36 
90 
63 
39 
30 
60 
251 
101 
90 
47 
51 
81 
86 



158 



Table 49. — Number of Full-Tirne Police Department Employees, December 31, 
1965, Cities 25,000 and over in Population — Continued 



City by state 



NEW MEXICO 

Alauiosordo 

Albucjuerciue 

Carlsbad 

Clovis 

Fannington 

Ilobbs 

Las Cruces 

Roswell 

Santa Fe 

NEW YORK 

Albany 

Amherst 

Amsterdam 

Auburn 

Binghamton 

Brighton 

BulTalo 

C heektowaga 

Clarkstown 

Colonie Town 

Elmira 

Freep'Tt 

Garden City 

Glen Cove 

Greece 

Greenburgh 

Hempstead 

Irondequoit 

Ithaca 

Jamestown 

Kingston 

Lackawanna 

Lockport- - 

Mount Pleasant 

Mount Vernon 

Newburgh 

New Rochelle 

New York 

Niagara Falls 

North Tonawanda__. 

Oransetown 

Port Chester 

Poughkeepsie 

Ramapo 

Rochester 

Rome 

Schenectady 

Syracuse 

Tonawanda Town.. 

Troy 

ITtica 

Watertown 

West Seneca 

White Plains 

Yonkers 

NORTH CAROLINA 

Asheville 

Burlington 

Durham 

Fayette ville 

Gastonia 

Goldsboro. 

Greensboro 

Greenville 

High Point 

Kannapolis 

Kinston 

Raleigh 

Rocky Mount 

Wilmington 

Wilson 

Wlnston-Salem 



Number of police depart- 
ment employees 



Total 



259 



Police 
officers 




Civilians 





City by state 



NORTH DAKOTA 

Bismarck 

Fargo 

Grand Forks 

Minot 

OHIO 

Akron 

Alliance 

Ashtabula 

Barberton 

Canton 

Chillicothe 

Cincinnati 

Cleveland 

Cleveland Heights. - 

Columbus 

Cuyahoga Falls 

Dayton 

East Cleveland 

Elyria 

Euclid 

Fairborn 

Findlay 

Hamilton 

Kettering 

Lake wood 

Lancaster 

Lima 

Lorain 

Mansfield 

Maple Heights 

Marion 

Massillon 

Mentor 

Middletown 

Norwood 

Portsmouth 

Sandusky 

South Euclid 

Springfield 

Toledo 

Upper Arlington 

Warren 

Whitehall 

Youngsto wn 

Zanesville 

OKLAHOMA 

Bartlesville 

Enid - 

Lawton 

Midwest City 

Muskogee 

Norman 

Oklahoma City 

Stillwater 

Tulsa 

OREGON 

Corvallis 

Eugene 

Medford 

Portland 

Salem 

PENNSYLVANIA 

Abington Township 

AUquippa 

Allentown 

Altoona 

Baldwin Borough-.. 



Number of police depart- 
ment employees 



al 


Police 




officers 


42 


38 


87 


75 


52 


48 


44 


41 


309 


295 


39 


34 


34 


30 


34 


33 


17S 


166 


33 


31 


963 


859 


295 


2,040 


68 


65 


823 


687 


49 


47 


434 


378 


72 


65 


44 


41 


96 


84 


33 


30 


36 


30 


97 


94 


41 


39 


72 


68 


37 


35 


78 


69 


71 


70 


74 


71 


38 


38 


42 


40 


35 


32 


24 


21 


78 


71 


45 


45 


53 


52 


46 


42 


39 


34 


121 


112 


643 


603 


28 


26 


/ / 


75 


34 


31 


3C1 


278 


42 


31 


41 


37 


55 


47 


75 


74 


37 


32 


54 


47 


41 


38 


407 


357 


32 


31 


340 


284 


31 


27 


107 


90 


49 


42 


838 


699 


98 


65 


61 


61 


29 


29 


176 


151 


103 


91 


25 


21 



159 



Table 49. — Number of Full -Time Police Department Employees, December 31, 
1965, Cities 25,000 and over in Population — Continued 



City by state 


Number of police depart- 
ment employees 


1 

City by state 


Number of police depart- 
ment employees 




Total 


Police 
officers 


Civilians 


Total 


Police 
officers 


Civilians 


PENNSYLVANIA— 
Continued 


28 
117 

57 

60 
108 
57 
193 
32 
157 
60 
90 
91 
42 

121 

28 

46 
62 

14 

48 
7,815 
1.638 

29 

48 
191 

21 

23 
29 

166 
27 

104 
41 
59 
84 

105 
86 
85 
154 
521 
133 
103 

50 
140 
166 
48 
56 
83 
39 

32 

49 
96 

219 
64 
45 
60 


25 
108 
50 

55 
82 
53 

182 
31 

151 
57 
77 
87 
41 

115 
22 

42 
60 

14 

44 
7,194 
1.593 

28 

44 
159 

21 

19 
24 

138 
27 

103 
34 

57 
82 

99 
81 
79 
141 
449 
121 
98 

50 
118 
144 
45 
53 
69 
37 

29 
46 
85 

193 
62 
38 
49 


3 
9 

7 

5 

26 

4 

11 

1 

6 

3 

13 

4 

6 
6 

4 
2 


TENNESSEE-Con. 
Knoxville 


285 
991 

29 
653 

41 

133 

209 
64 

347 
47 

138 
47 
80 
31 

265 

1.532 

32 

39 

402 

589 
84 
38 
29 
38 
1.578 
56 
35 
29 
52 
57 

184 
33 
22 
46 
96 

117 
36 
25 
81 

11 

91 
792 
33 
43 
31 
69 
49 
122 
131 

88 

47 

31 (! 

48 

173 
223 

62 
100 
105 
114 


226 
798 

29 
544 

38 

116 

174 

62 

248 

41 

121 

40 

51 

29 

237 

1.330 
27 
33 
345 
507 
76 
34 
25 
27 

1.318 
48 
30 
29 
52 
54 
174 
33 
21 
40 
87 
96 
34 
17 
71 
81 
33 
77 
672 
29 
40 
29 
66 
36 
100 
112 

76 
43 

251 i 

43 1 

144 
196 

60 

95 

95 

97 


59 


Bensalem Townsliip. 




193 


Bethlehem __^ 


Morristown 




Bristol Township 


Nashville 


109 


Cheltenham Town- 


Oak Ridge 


3 


ship 


TEXAS 

1 Aliilene 




Chester 




Erie 


17 


Falls Township 




35 


Harrisburg 




2 


Haverford Township. 


Austin... ..... 


99 


Johnstown 




6 


Lancaster .. 


' Beaumont 


17 


Lebanon.-^ .. . 






Lower Merion 


i Brownsville. 


29 


Township 


Bryan 


2 


Millcreek Township 
Mount Lebanon 


Corpus Christ! 

' Dallas 


28 
202 


Township. .._ __ 






Norristown 


: Denton 


6 


North Huntingdon 
Township. . . .. 


; El Paso . 

1 Fort Worth 


57 

82 


Perm Hills Town- 


4 
621 

45 
1 
4 

32 

4 
5 

28 

1 


Galveston 


9 


ship 

Philadelphia 

Pittsburgh 


Grand Prairie 

Haltom City 


4 
4 


Pottstown 

Radnor Township. _ 


Houston 

i Irving 


260 

g 


Reading 


' Killeen 


5 


Shaler Township 


Kingsville 




Springfield Town- 


Laredo .. . 




ship ... 




3 


State College 


Lubbock 


10 


Upper Darby 
Township 


Marshall. 




1 McAllen 


1 


West Mifflin 


Mesquite 


g 


Wilkes-Barre 


1 I 

^i 

6 

12 ' 

5 ' 

22 i 
22 

3 

3 
14 

2 

3 
3 
11 

26 

2 

7 
11 


Midland. . 


9 


Wilkinsburg 


Odessa 


21 


Williamsport 


Orange . 


2 


York 


Pampa 


g 




Pasadena . 


10 


RHODE ISLAND 


Port Arthur 

Richardson 


6 
5 


Cranston... .. . 


San \n(Tpln 


14 
120 


East Providence 


San Antonio 


Newport-. 


Sherman 


4 


Pawtucket 


Temple .... 


3 


Providence 


Texas Citv 


2 


Warwick 

Woonsocket 


Tyler. 


3 




Waco 


22 


SOUTH CAROLINA 

Anderson . 


Wichita Falls 

UTAH 
Ogden 


19 


Charleston . 




Columbia . 




Florence 

Rock Hill. 




Provo 


4 


Salt Lake City 

VERMONT 

Burlington 

VIRGINIA 




Spartanburg 

Sumter 

SOUTH DAKOTA 

Aberdeen ' 

Rapid Citv 


59 
5 


Sioux Falls 






29 


TENNESSEE 

Chattanooga... . 


Arlington 

Charlottesville 

Chpsanpntp 


27 
2 
5 


Jackson.. 


Danville 


10 
17 


Johnson City.... 


Kingsport 


Lynchburg 


96 89 1 





160 



Table 49. — Number of Full- Time Police Departm,ent Employees, December 31, 
1965, Cities 25,000 and over in Population — Continued 



City by state 


Number of police depart- 
ment employees 


City by state 


Numher of pohce depart- 
ment employees 




Total 


Police 
officers 


Civilians 


Total 


Police 
officers 


Civihans 


VIRGINIA-Con. 

Newport News 

Norfolk 


148 

473 

43 

167 

477 
151 
132 

49 

50 

77 

30 

37 

1,047 

270 

237 

56 

41 

78 

149 
103 
52 
93 


138 
429 
40 
155 
441 
143 
123 

40 

48 

70 

30 

32 

897 

234 

217 

54 

32 

67 

140 
96 
44 
91 


10 
44 
3 
12 
36 
8 
9 

9 

2 


WISCONSIN 

Appleton 

Beloit.... 


79 
55 
63 
52 

131 
56 

129 
75 

244 

57 

2,049 

70 

166 
85 
61 
63 
49 
88 

129 

50 
80 

330 
139 

5,448 


75 
62 
51 
45 

116 
53 

115 
69 

203 

53 

1,919 

67 

156 
81 
60 
60 
49 
78 

111 

42 
54 

262 
130 

4,765 


4 
3 


Petersburg 


Eau Claire 


12 




Fond du Lac 

Green Bay 

Janesville 

Kenosha 

La Crosse 




Richmond 

Roanoke 

Virginia Beach 


15 
3 
14 

6 


WASHINGTON 

Bellingham 


Madison 

Manitowoc 

Milwaukee 

Oshkosh 


41 

4 

130 


Bremerton.. 

Everett 


3 

10 


Long view... _ . . 


Sheboygan 

Superior 

Waukesha... 




Richland 

Seattle 


5 

150 

36 

20 

2 

9 

11 

9 

8 
2 


1 
3 


Spokane 


Wausau 

Wauwatosa 

West Allis 




Tacoma 


10 


Vancouver.. _ 


18 


Walla Walla 


WYOMING 

Casper 

Cheyenne 

Canal Zone. 








WEST VIRGINIA 

Charleston 

Huntington 


8 
26 

68 


Parkersburg 

Wheeling 


Guam 

Puerto Rico 


9 
683 







221-746°- 



-12 



161 



Table 50.- 



•Number of Full -Time Police Department Employees, December 31, 
1965, Cities With Population under 25,000 



City by state 


Number of 

police 
department 
employees 


City by state 


Number of 

police 
department 
employees 


City by state 


Number of 

police 
department 
employees 


ALABAMA 


21 

25 

12 

4 

15 

20 

7 

20 

5 

15 

9 

25 

5 

9 

7 

6 

11 

25 

13 

8 

6 

10 
11 
17 

23 
16 

37 
15 
11 
11 
2 

11 

18 
19 
28 
18 
9 
12 
3 
19 
7 
4 
25 
8 
8 
5 
9 
18 

9 
6 
3 
17 
6 

12 
12 
4 

4 
14 
3 
8 
10 
16 
12 
8 
8 
34 


CALIFORNIA 

Albany. 


22 

5 

10 

29 

13 

9 

6 

16 

15 

15 

21 

32 

9 

27 

25 

5 

14 



10 
22 
22 

5 

8 
20 

5 
26 
18 
14 

9 
33 
22 
11 
26 

8 
15 
12 

3 

1 
31 

12 

6 
22 
10 

3 

7 
25 
19 

7 
13 

7 

5 

9 
40 
10 

99 

"5 

37 

8 
11 
26 
10 

1 

4 
19 

5 
15 

8 

6 

6 

6 
28 
17 
32 
18 
14 1 


CALIFORNIA- 

Continued 

Holtville 




Auburn 


Alturas 


12 




Anderson. ... 


Huron. . _ . . 


4 




Antioch 


Imperial _ 


10 


C hickasaw 


Areata 


Imperial Beach 

Indio 


18 


Fairfield 


Arroyo Grande 


28 




lone.. _ 


3 


Fort Favne 


Atherton 


Isleton 


3 




Atwater 


Jackson ... 


4 


Guntersville 


Auburn 


Kensington.- . 


9 


Hartselle 


B anning 


Kerman 


4 




Barstow. ._ _ 


King Citv 


10 


Hueytown 


Beaumont 


Kingsburg 


9 


Lafayette. ._ . 


Bell 


Laguna Beach 

Lakeport .__ 


31 




Behnont 


5 


Marion 


Belvedere 


La Palma 


6 


Midfield 


Benicia 


Larkspur 


10 




Biggs. -- - . . 


LaVerne__ ... _ . 


17 


Northport 


Bishop 


Lemoore 


9 


Oneonta 


Blvthe 


Lindsay 


12 


Oxford 


Brea 


Livingston 


6 


Prattville 


Brentwood 


Lompoc 


34 


Saraland 


Broadmoor 


Los Altos 


26 


Sheffield 


Calexico 


Los Gatos-. - - - 


23 


Tallassee 




Madera 


97 


Troy 


Campbell 


Manteca 


16 


Tuscumbia. . . 


Carlsbad.. 


Martinez... _ _ 


19 




C armel 


Marysville 


28 


ALASKA 


Ceres 


Mavwood 


'?5 




Chico 


McFarland 


7 


Fairbanks - 


Chino 


Mendota 


6 


Ketchikan 


Chowchilla 


Merced 


38 


Kodiak 




Millbrae . 


23 


Sitka 


Cloverdale 


Mill Vallev 


16 


Valdez 


Clovis 


Milpitas 


22 








31 


ARIZONA 


Colfax 


Morro Bay 


11 




Colma_ _ .. 


Needles 


10 


Avondale. ... . 


Col ton 


Newark 


21 


Bisbee 


Colusa 


Newman 


4 


Casa Grande 


Corcoran. 


Ojai. . 


13 


Chandler 




Orange Cove 

Orland 


8 


Douglas 


Coronado 


8 


Globe 


Corte Madera 

Cotati 


Oroville 


25 


Holbrook 


Pacific Grove 

Palm Springs 

Palos Verdes 
Estates 


18 


Huachuca 


Crescent City 


66 


Nogales--. - . . 




Page... -. 


Davis 


19 


Peoria. 


Desert Hot Springs. 
Dinuba - . 


Parlier 


4 


Prescott 


Paso Robles 


17 


Saflford ... 


Dixon 

Dos Palos 


4 


Sierra Vista 


Ferris 


8 


Tolleson 




Petaluma. 


24 


Williams . 


El Centro 




20 


Winslow 


Elsinore 


Pinole 


15 




Emeryville 


Pismo Beach 

Pittsburg 


10 


ARKANSAS 


E seal on 


31 




Escondido 


Placentia 


22 


Arkadelphia 


Fillmore 

Folsom 


Placerville 


13 


Batesville 




13 


Booneville 


Port Hueneme 

Portola 


20 


Camden... _ 


Fort Bragg 


3 


Harrison 




Red Bluff 


18 


Hope .. 




Redding 


39 


Jacksonville 


Gait 

Gilrov 


Reedley 


13 


Mena 


Rialto 


29 


Monticello 




Rio Dell 


3 


Nashville 


Grass Valley 

Gridley 


Rio Vista 


5 


Paragould . . 


Ripon 


6 


Piggott. 


Grover City 


Riverbank 


6 


Russellville 


Rocklin 

Rohnert Park 

Roseville 

Ross 


3 


Siloam Springs 

Springdale.. . 


Half Moon Bay 

Hanford 


5 
26 


Stuttgart 


Hemet 


4 


Van Buren 


Hermosa Beach 

Hillsborough 

Hollister 


St. Helena 

San Anselmo 

San Carlos 


7 


Walnut Ridge 

West Memphis 


17 
32 



162 



Table 50.— Number of Full -Time Police Department Employees, December 31, 
1965, Cities With Population under 25,000— Continued 



City by state 


Number of 

police 
department 
employees 


City by state 


Numl)er of 

police 
department 
employees 


City by state 


Number of 

police 
department 
employees 


CALIFORNIA— 
Continued 


27 
36 
14 

8 
28 
36 
29 
20 
37 
30 
11 
14 
11 
16 

5 

9 
34 
32 

5 

10 
11 

7 
24 
27 
18 
16 
21 

41 
23 

62 

13 

37 

50 

12 

30 

6 

4 

10 

8 

4 

4 

28 
10 
25 

10 
10 
7 
9 
13 
13 
14 
6 
17 
3 
7 
11 
35 
10 
10 
12 
7 
29 
21 
17 
6 
7 

10 
6 
8 
12 
7 
15 


CONNECTICUT 

Avon 


6 

8 

22 
26 
17 

7 

6 
18 
20 
16 

3 
24 

8 

19 
33 
28 
23 
29 
10 
17 
17 

9 

8 
26 

9 

1 
21 
20 
15 
17 
31 
11 
12 
14 
11 

29 
14 
23 

5 

8 

7 

4 
11 
10 
23 
14 

4 
44 
33 

7 
33 
34 
11 
18 
25 
17 
36 
12 

9 
12 

14 
28 
12 

31 
16 
17 

8 
12 

5 


FLORIDA— Con. 

Miami Shores 

Miramar ... 


31 


San Clemente 

San Fernando 


Bethel 


15 


Bloomfleld 


Naples - 


20 


Branford . 


Neptune Beach 

New Port Richey... 
New Smyrna 
Beach 


4 


San Tnrinto 


Cheshire 


7 




Clinton. _. 






Danielson 


22 


Santa Paula 


Derby _ _ 


North Palm 
Beach 






9 


Seal Beach 


Glastonbury 

Granby 


Ocala 


39 


Ormond Beach 

Palatka 


23 




Groton Borough 

Madison 


16 




Palm Bay 


7 


Shafter 


Monroe. ... 


Palm Beach 

Palm Springs 

Piiiellas Park 

Plantation 


58 


Sierra Madre 

Soledad _ 


Naugatuck 


5 


New Canaan 

Newington 


20 




21 


South Pasadena 


North Haven 

Old Saybrook 


Pompano Beach 

Port St. Joe 


59 
5 


Suisun City 


Quincy. 


27 


Plainville 


Rockledge 

Safety Harbor 

St. Cloud 


8 


Taft 


Putnam . 


4 




Rocky Hill 


8 


Tracy 


Shelton . 


St. Petersburg 
Beach 








18 


Turlock 


Sprague 


Sanford 


28 






Sebring 


15 


Ukiah 


Vernon. 


South Miami 

Starke -- 


27 


University of 
California 


WMterford 


12 


Watertown 


Stuait 

Surfside 


11 




Wethersfield 

Wilton 


18 




Tarpon Springs 

Temple Terrace 

Treasure Island 

West Miami 

Winter Haven 

Zephyrhills 


13 




Winsted ... . 


13 


Visalia 


Wolcott 


11 


Walnut Creek 

Wasco 


Woodbridge 

DELAWARE 
Dover 


9 
39 




8 


Weed 


GEORGIA 
Americus 




Williams 




Willits 


Milford 




Willows 




22 


Winters 


New Castle 


Barnesville 


8 


Wondlake 


Seaford 


Calhoun 


8 


Woodland 




Canton . 


7 


Yreka 


FLORIDA 

Apalachicola 

A nnnkn 


CarroUton 


19 


Vnl-id Pit-^T 


Cordele 


17 




Dalton .. - .. - . 


21 


COLORADO 


Elberton . . 


IS 


Gainesville 


33 


Alamos& 


Au)")urndale . . 


Garden City 

Greensl)oro 


4 




Bartow 

Bay Harbor Islands. 
Biscayng Park 


3 




Griffin 


5C 




Hapeville 


IS 


Canon City.. 


Lafayette. . 


V2 


Bradenton 


Madison . ._ 


C 






McRae 


7 


Delta 


Cocoa 


Milledgeville 

Tifton 


23 




Cocoa Beach 

Dade City 


1^ 




Washington 

Winder 




Glenwood Springs.. 
Golden _ ... 




1' 


Deerfield Beach 


IDAHO 
Blackfoot 










Eau Gallic 




La Junta 


Eustis 


1^ 




Green Cove 
Springs 


Buhl 


^ 


Leadville 


Burlev - 


ic 


T.iftieton 


Gulfport 


Caldwell 


2( 




Haines City 

Hallandale 


Coeur d'Alene 

Jerome... .. 


1( 


Loveland 


^ 


Manitou Springs 

Monte Vista 


Holly Hill 


Kellogg . 


1( 


Jacksonville 
Beach 




2( 


Montpelier 


( 


Rocky Ford 

Salida 




Moscow.- - 


r 


Lake Wales 


Mountain Home.... 
Nampa.. ... ... 


L 


Thornton 




2' 




Maitland 


Payette _ 


1 


Westminster 


Margate 


Rupert 


i: 



Table 50.— A umber of Full-Tiine Police Department Employees, December 31, 
1965, Cities With Population under 25,000 — Continued 



City by state 



IDAHO— Con. 



Salmon 

Sandpoint--- 

Shelley 

Soda Springs. 
Twin Falls... 
Weiser 



ILLINOIS 



Abingdon 

Addison 

Barrington 

Barton ville 

Batavia 

Belhvood 

Belvidere 

Berkeley 

Bethalto 

Bourbonnais 

Bradley 

Bridge view 

Broadview 

Brookfield 

Bushnell 

Cahokia 

Calumet Park 

Canton 

Carbondale 

Carini 

Carpentersville... 

Carterville 

Gary 

Centralia 

Charleston 

Chester 

Chillicothe 

Clarendon Hills... 

Columbia 

Crest Hill 

Crete 

Deerfield 

DeKalb 

Dixmoor 

Dixon 

Downers Grove 

Dupo 

Dwight 

East Alton 

East Mohne 

Edwardsville 

Effingham 

Eldorado 

Elk Grove Village . 

Elm wood Park 

Eureka 

Fairfield 

Fairmont City 

Flora 

Flossmoor 

Forest Park 

Fulton 

Galena 

Geneseo 

Geneva 

Gillespie 

Glencoe 

GlenEUyn 

Glenview 

Golf 

Grayslake 

Hanover Park 

Harvard 

Harwood Heights.. 

Hickory Hills 

Highland 

High wood 

Hillsboro 



Number of 

police 
department 
employees 



City by state 



ILLINOIS— Con. 



Hinsdale 

Hoffman Estates... 

Homewood 

Hoopeston 

Itasca 

Jacksonville 

Jersey ville 

Kenilworth 

La Grange 

La Grange Park... 

Lake Forest 

Lake Zurich 

Lansing 

La Salle 

Lawrenceville 

Lebanon 

Lincoln 

Lincoln wood 

Lisle 

Litchfield 

Loves Park 

Lyons 

Macomb 

Madison 

Markham 

Marquette Heights 

Mascoutah 

Matteson 

Mattoon 

McLeansboro 

Mendota 

Metropolis 

Milan 

Monmouth 

Morris 

Morrison 

Morton 

Motmt Morris 

Mount Olive 

Motmt Vernon 

Mundelein 

Naperville 

Nashville 

Nokomis 

Normal 

North Aurora 

Northbrook 

Northfield 

Northlake 

North Riverside 

O'Fallon 

Oglesby 

Olney 

Olympia Fields 

Orland Park 

Ottawa 

Palatine 

Pana 

Peoria Heights 

Peru 

Pittsfield 

Piano 

Polo 

Princeton 

Rantoul 

River Forest 

Riverside 

Robinson 

Rochelle 

Rockdale 

Rock Falls 

Rolling Meadows.-. 

Roselle 

Round Lake Beach. 

St. Charles 

Salem 

Sandwich 



Numljer of 

police 
department 
employees 



City by state 



ILLINOIS— Con. 



Schiller Park 

Shelby ville 

Silvis 

South Beloit 

South Chicago 

Heights 

South Elgin 

South Holland. .__ 

Staunton 

Stone Park 

Stream wood 

Streator 

Sullivan 

Swansea 

Taylorville 

Thornton 

Vandalia.... 

Venice 

Washington 

Washington Park. 

Waterloo 

Watseka 

Wauconda 

Westchester 

West Dundee 

Western Springs.. 
West Frankfort-- - 

Westmont 

Westville 

White Hall 

Wilmington 

Winnetka 

Wood River 

Woodstock 

Zion 



Number of 

police 
department 
employees 



INDIANA 

Angola 

Attica 

Auburn 

Aurora 

Batesville 

Bedford 

Berne 

Bicknell 

Boonville 

Brazil 

Brookville 

Chesterton 

Clinton 

Columbus 

Corydon 

Crawfordsville.. 
Crown Point--- 

Decatur 

Delphi 

Diuikirk 

East Gary 

Frankfort 

Garrett 

Gas City 

Goshen 

Greencastle 

Greenwood 

Griffith 

Highland 

Hobart 

Huntingburg 

Huntington 

Jasonville 

Jasper 

Jeffersonville 

Kendallville 

Knox 

La Porte 

Lawrence 



164 



Table 50. — Number of Fiill-Time Police Department Employees, December 31, 
1965, Cities With Population under 25,000 — Continued 



City by state 


Number of 

police 
department 
employees 


City by state 


Number of 

police 
department 
employees 


City by state 


Number of 

police 
department 
employees 


INDIANA-Con. 

Lawrenceburg 

Lebanon 


8 
12 

6 
32 
20 

6 

8 
10 
11 
13 
38 
10 
15 

8 

9 
26 

9 
10 
18 
12 
12 

8 

4 
12 
10 

4 
13 
22 
19 

6 

8 
26 
23 
21 
14 
25 

5 
27 

5 

8 

4 

4 

3 

2 

16 

4 

15 

9 

16 

10 

11 

4 

9 

8 

4 

3 

8 

10 

6 

11 

18 

4 

8 

9 

6 

11 

12 

4 

23 

7 

8 


IOWA— Con. 

Marion 

Marshal Itown 

Missouri Valley 

Mount Pleasant 

New Hampton 

Newton 

Oelwein 

Osage. 


13 

24 

3 

10 

4 

17 

13 

5 
3 

12 
9 
8 
3 
5 
8 
4 

14 
6 
2 
9 
6 

11 

14 
1 

18 
5 
5 

8 

21 

17 

16 

8 

6 

13 
5 
25 
5 
8 
3 

10 

17 

13 

4 

4 

26 

8 

6 

6 

23 

6 

8 

25 

5 

4 

8 

8 

J 

11 

29 

7 

6 

11 

16 

3 

7 

32 

6 

15 
9 
9 
4 
3 


KANSAS-Con. 

Olathe 


15 


Osawatomie 

Ottawa.. - .. 


6 




14 




Paola 


7 




Parsons. 


16 


Mitchell 

Monticello 

Mooresville 

Mount Vernon 

Munster 

New Castle 


Phillipsburg 

Pittsburg.. .. . .. 


4 
29 


Plainville 

Pratt 


4 


Osceola 


11 


Oskaloosa 

Perry 

Red Oak 


Roeland Park 

Russell 

Shawnee 


7 
8 


New Haven 

Noblesville 

North Manchester.. 

North Vernon 

Peru 


10 


Rock Rapids 

Sheldon 


Valley Center 

Wellington 

Westwood-. . 


3 

14 


Shenandoah 

Sibley 


5 


Winfield 

KENTUCKY 

Bardstown 


16 


Plainfield 


Spencer 

Spirit Lake 








Portage 


Tama 

Urbandale 

Vinton. _ 




Portland 




Benton 






5 




W^averly 


Berea 


7 


Rockville 


Webster City 

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

KANSAS 

Abilene 


Campbellsville 

Cynthiana 


7 








Danville. . 




Scottsburg 

Sellersburg 

Seymour 

Shelbyville 


21 


Dawson Springs 

ElizabethtowTi 

Elsmere 

Erlanger 


4 
13 
2 




10 




5 




Flatwoods 






8 


Valparaiso 


Arkansas City 

Atchison 

Augusta 

Belleville 


Fort Thomas 

Franklin 


''. 






Wabash 


17 


Harlan 








West Lafayette 

West Terre Haute.. 
Whiting 


Beloit 

Chanute 


Harrodsburg 

Hazard 


9 
13 


Clay Center 

Coffeyville 


Henderson 

Highland Heights. _ 

Hopkinsville 

Jefferson town 

Lancaster 


35 




1 




Colbv 


32 


IOWA 


Concordia _.. 

Council Grove 

Derby 


4 
5 


Albia 


Ludlow.. 


7 




Dodge City- 


Middlesboro 

Monticello 

Mount Sterling 

Paris 


16 


Anamosa 


El Dorado 


4 




Ellinwood ... 


10 




Ellis 


14 


Belmond 


Emporia 


Park Hills 


3 






Russellville.- 


10 


Bloomfield 


Fairway 

Freclonia 

Garden City 

Garnett 

Goodland . 


St. Matthews 

Somerset- 


10 
17 


Centerville 

Charles City 

Clarinda 


South Fort MitchelL 


4 
19 


LOUISIANA 

De Ridder ._ 




Clear Lake . . 


Great Bend 




Cresco 


Herington 

Hiawatha 




De corah 


11 


Denison 

Dyersville 


Hoisington 

Holton 

Horton 


Donaldsonville 

Eunice.. 


16 
19 


Eldora 


Franklin.. . . 


17 


FmiTipfshnrcr 


Humboldt 


Hammond . - 


18 


Estherville 


Independence 

lola 

Junction City 

Kingman 


Haynesville... . ._ 


4 




Jonesboro 


9 


Fairfield 


Kaplan. . 


8 






9 




Marksville 


7 


Grinnell 


Leawood 


Minden... 


12 






New Roads... ... 


5 


Harlan , 


Lindsborg 


Opelousas 

Plaquemine. 


28 


Independence 

Indianola 


Lyons 


13 


Manhattan 


Rayne 


17 


Jefferson 


Marysville 


Springhill 


9 






Sulphur 


8 


Knoxville 


Merriam 


Thibodaux 


23 


Le Mars 


Mission 


Vivian 


4 






Welsh 


6 


Maquoketa 


Oakley 


West Monroe 


26 



165 



Table 50. — Number of Fiill-Time Police Department Employees, December 31, 
1965, Cities With Population under 25,000 — Continued 



City by state 



MAINE 

Augusta 

Bar Harbor 

Bath 

Brunswick 

Camden 

Dexter 

Ellsworth 

Falmouth 

Farmington 

Gardiner 

Hallo well 

Hampden 

Houlton 

Kittery 

Madawaska 

Madison 

Millinocket 

Milo 

Old Orchard Beach 

Old Town 

Orono 

Paris 

Pittsfield 

Presque Isle 

Rockland 

Rumford 

Saco 

Sanford 

Scarborough 

Skowhegan 

South Portland 

Van Buren 

Waldoboro 

Waterville 

Wells 

Westbrook 

York 

MARYLAND 

Aberdeen 

Annapolis 

Bel Air 

Bladensburg 

Brimswick 

Cambridge 

Crisfield 

District Heights 

Easton 

Elkton 

Frederick 

Frostburg 

Greenbelt 

Hyattsville 

Laurel 

Mount Rainier 

Salisbury 

Sparrows Point 

Takoma Park 

Thurmont 

University of 

Maryland 

University Park 

Westminster 

MASSACHUSETTS 

Abington 

Acton 

Acushnet 

Adams 

Agawam 

Amesbury 

Amherst 

Andover 

Ashburnham 

Ashland 



Number of 

police 
department 
employees 



5 
26 

8 

3 
13 

7 
37 
11 
15 
18 
12 

6 

37 

201 

24 



City by state 



MASSACHUSETTS- 
Continued 

Athol 

Auburn 

Ayer 

Barnstable 

Bedford 

Blackstone 

Bourne 

Boylston 

Bridge water 

Burlington 

Chatham 

Chelmsford 

Clinton 

Cohasset 

Concord 

Dalton Town 

Danvers 

Dartmouth 

Dighton 

Dover 

Dracut 

East Bridge water._ 

Easthampton 

East Longmeadow. 

Easton 

Fairhaven 

Falmouth 

Foxborough 

Franklin 

Gardner 

George to^\Tl 

Grafton 

Greenfield 

Groveland 

Harwich 

Hingham 

Holbrook 

Holliston 

Hopedale 

Hudson 

Hull 

Ipswich 

Lancaster 

Leicester 

Lincoln 

Littleton 

Longmeadow 

Ludlow 

Lynnfield 

Mansfield 

Marblehead 

Marion 

Marlboro 

Marshfield 

Mattapoisett 

Medfield 

Merrimac 

Middleboro 

Milford 

Millburv 

Millis..: 

Montague 

Nahant Township, 

Nantucket 

Newburyport 

North Adams 

North Andover 

Northboro 

Northbridge 

North Brookfield-- 

North Reading 

Norwell 

Orange 

Oxford 

Palmer 

Pepperell 



Number of 

police 
department 
employees 



City by state 



MASSACHUSETTS- 
Continued 



Plymouth 

Provincctown 

Reading 

Rehoboth 

Rockport 

Salisbury 

Saugus 

Scituate 

Sharon 

Shirley 

Somerset 

Southborough 

Southbridge 

South Hadley 

Stoneham 

Stoughton... 

Stow 

Sudbury 

Swampscott 

Swansea 

Topsfield 

Tyngsborough 

Upton 

Walpole 

Ware 

Ware ham 

Wayland 

Webster 

West Boylston 

West Bridgewater. 

Westford 

Weston 

Westport 

Whitman 

Williamstown 

Wilmington 

Winchester 

Winthrop 

Wrentham 



MICHIGAN 



Adrian 

Albion 

Algonac 

Alma 

Alpena 

Battle Creek Town- 
ship 

Bedford Townsliip.. 

Belding 

Benton Harbor 

Berkley 

Berrien Springs 

Bessemer 

Beverly Hills 

Big Rapids 

Blissfield 

Bloomfield To^\-n- 

ship 

Boyne City 

Cadillac 

Caro 

Caspian 

Center Line 

Charlotte 

Chelsea 

Clawson 

Coldwater 

Corumia 

Crystal Falls 

Davison 

Durand 

Ecorse 

Escanaba 

Farmington 



Number of 

police 
department 
employees 



166 



Table 50. — Number of Fiill-Time Police Department Employees, December 31. 
1965, Cities With Population under 25,000 — Continued 



City by state 



MICHIGAN— Con. 

Fenton 

Flat Rock 

Gibraltar 

Gladstone 

Grand Haven 

Grand Ledge 

Grandville 

Greenville 

Grosse Pointe 

Grosse Pointe 

Farms 

Grosse Pointe 

Park 

Grosse Pointe 

Woods 

Hancock 

Harper Woods 

Hastings 

Hillsdale 

Howell 

Huntington Woods. 

Iron Mountain 

Iron River 

Ironwood 

Ishpeming 

Lake Orion 

Lapeer 

Lathrup Village. -- 

Laurium 

Ludington 

Mackinac Island... 

Manistee 

Marine City 

Marquette 

Marshall 

Marysville 

Mason 

Melvindale 

Menominee 

Michigan State 

University 

Milford 

Mount Pleasant..- 

Munising 

Muskegon Heights 

Negaunee 

New Baltimore 

Niles 

North Muskegon _- 

Northville 

Norway 

Oscoda 

Otsego 

Owosso 

Oxford 

Petoskey 

Plain well 

Pleasant Ridge 

Plymouth 

Portland 

Richmond 

River Rouge 

Riverview 

Rochester 

Rogers City 

Romeo 

Roosevelt Park 

St. Clair 

St. Johns 

St. Joseph. 

St. Louis 

Sault Ste. Marie... 

Scottville 

South Haven 

South Range 

Sparta 

Stambaugh 



Number of 

police 
department 
employees 



29 



City by state 



MICHIGAN— Con. 

Sturgis 

Swartz Creek 

Tecumseh 

Tliree Rivers 

Trenton 

Troy 

Vassar 

Wakefield 

Wayne 

Woodhaven 

Ypsilanti 

Zeeland 

MINNESOTA 

Albert Lea 

Alexandria 

Anoka 

Aurora 

Babbitt 

Bayport 

Bemidji 

Benson 

Blaine 

Blue Earth 

Brainerd 

Breckenridge 

Brooklyn Park 

Burnsville 

Cambridge 

Chaska 

Chisholni 

Cloquet 

Columbia Heigh ts. 

Crookston 

Crosby 

Deephaven 

Detroit Lakes 

Ely 

Eveleth 

Fairmont 

Falcon Heights 

Faribault 

Fergus Falls 

Fridley 

Glen wood 

Golden Vahey 

Grand Rapids 

Hastings 

Hibl)ing 

Hopkins 

Hoyt Lakes 

Hutchinson 

International Falls 

Jackson 

Lake City 

Lauderdale 

Le Sueur 

Little Falls 

Maplewood 

Marshall 

Mendota Heigh ts. - 

Montevideo. _. 

Morris 

Mounds View 

New Brighton 

New Hope 

New Prague 

New Ulm 

Northfleld 

North Mankato... 

North St. Paul 

Orono 

Ortonville 

Owatonna 

Park Rapids 

Pipestone 



Number of 

police 
department 
employees 



City by state 



MINNESOTA— Con. 

Plymouth 

Red Wing 

Redwood Falls 

Rob])insdale 

St. Anthony 

St. James 

St. Paul Park 

St. Peter 

Sauk Rapids 

Shakopee 

Silver Bay 

Sleepy Eye 

South St. Paul 

Springfield 

Staples 

Stillwater 

Tliief River Falls. - 

Tracy 

Two Harbors 

Virginia 

Wabasha 

West St. Paul 

White Bear Lake.. 

Willmar 

Windom 

Worthington 

MISSISSIPPI 

Aberdeen 

Batesville 

Booneville 

Brookhaven 

Cleveland 

Clmton 

Forest 

Greenwood 

Indianola 

Long Beach 

McComb 

New Albany 

Newton 

Oxford 

Senatobia 

Waynesboro 

MISSOURI 

Ballwin 

Bellefontaine 

Neighbors 

Berkeley 

Boonville 

Brentwood 

Bridgeton 

Brookfield 

Cameron 

Carthage 

Centralia 

Charleston 

ChiUicothe 

Clayton 

Crest wood 

Creve Coeur 

Dellwood 

De Soto 

Eldon 

Excelsior Springs.. 

Farmington 

Fayette 

Flat River 

Frontenac 

Fulton 

Gladstone 

Glendale 

Hanley Hills 

Hannibal 



Number of 

police 
department 
employees 



167 



Table 50.^ — Number of Full -Time Police Department Employees, December 31, 
1965, Cities With Population under 25,000 — Continued 



City by state 



mSSOURI-Con. 



Harrisonville 

Hazelwood 

Hermami 

Jackson 

Jennings 

Ladue 

Lamar 

Lees Summit 

Liberty 

Maiden 

Maplewood 

Marceline 

Marshall 

Maryville 

Mexico 

Moberly 

Monett 

Neosho 

Nevada 

Normandy 

North Kansas City 

Northwoods 

O'Fallon 

Olivette 

Palmyra 

Pine Lawn 

Potosi 

Raytown 

Richmond Heights 

River view 

Rock Hill 

RoUa 

St. Ann 

St. Jolm Village 

Salem 

Shrewsbury 

Sikeston 

Slater 

Trenton 

Union 

Valley Park 

Vinita Park 

Warrensburg 

Webb City 

West Plains 



MONTANA 



Anaconda- 
Baker 

Bozeman.. 
Choteau--- 

Conrad 

Culbertson. 

Dillon 

Glasgow 

Glendive-- 

Helena 

Laurel 

LewistOMTi. 

Libby 

Livingston. 
Miles City- 
Red Lodge- 

Sidnev 

Whitefish... 
Wolf Point - 



NEBRASKA 



Alliance - 
Auburn.. 
Aurora,-. 
Beatrice - 
Bellevue- 

Blair 

Chadron. 



Number of 

police 
department 
employees 



City by state 



NEBRASKA— Con. 



Columbus 

Crawford 

Crete 

Fairbury 

Fremont 

Gering 

Hastings 

Holdrege 

Kearney 

McCook 

Millard 

Nebraska City- 

Norfolk 

North Platte... 
Plattsmouth... 

Ralston 

Schuyler 

Scottsblufl 

Seward 

Sidney 

Superior 

Wayne 

York 



NEVADA 



Boulder City. 
C arson City.- 

Elko 

Fallon 

Sparks 



NEW HAMPSHIRE 



Berlin 

Claremont-.- 

C on way 

Derry 

Durham 

GoffstowTi 

Hampton 

Hanover 

Hudson 

Keene 

Littleton 

Milford 

Ne^^^narket-- 

Newport 

Pelham 

Peterborough 

Rochester 

Salem 

Somersworth . 



NEW JERSEY 



Absecon 

Allendale 

Asbury Park 

Atlantic Highlands. 

Audubon 

Belvidere 

Berkeley Heights^ -. 
Bernards TowTiship. 

Beverly 

Bogota 

Boonton 

Bordentown 

Bound Brook 

Bradley Beach 

Bridgeton 

Brielle 

Brigantine 

Burlington 

Butler 

Caldwell 

Cape May 



Number of 

police 
department 
employees 



City by state 



NEW JERSEY— Con. 



Carlstadt 

Carteret 

Cedar Grove Town- 
ship 

Chatham To\\ti- 

ship 

Cinnaminson To^^^l 

ship 

Clark 

Clayton 

Cliffside Park 

Closter 

Collingswood 

Cresskill 

Deal 

Delanco Township. 

Demarest _ . . 

Denville Township 

Dover 

Dumont 

Dunellen 

East Hanover 

Township 

East Paterson 

East Rutherford..-. 

Eatontown 

Edge water 

Egg Plarbor City... 

Emerson 

Englewood Cliffs... 

Fairfield 

Fair Haven 

Fairview 

Fanwood 

Flemington 

Florence Township. 

Florham Park 

Franklin 

Freehold 

Garwood 

Glassboro 

Glen Ridge 

Glen Rock 

Gloucester City 

Green Brook 

Township 

Greenwich 

Township 

HackettstON\Ti 

Haddonfield 

Haddon Heights 

Haddon To\\Tiship.. 

Hammonton 

Hanover Township. 

Harrington Park 

Harrison 

Hasljrouck Heights. 

Haworth 

Hawthorne 

Highland Park 

Highlands 

Hillsdale 

Hillside Township. - 

Ho-Ho-Kus 

Hopatcong 

Jamcsburg 

Jefferson Township. 

Keansburg 

Kenilworth 

Kinnelon 

Lake wood 

Lawrence 

Towmship 

Lincoln Park 

Lin wood 

Little Ferry 

Little Silver 



Number of 

police 
department 
employees 



168 



Table 50. — Number of Full -Time Police Department Employees, December 31, 
1965, Cities With Population under 25,000 — Continued 



City by state 



NEW JERSEY— Con. 

Lower Township 

Lyndhurst 

Township 

Madison 

Magnolia 

Mahwah Township. 

Manasquan 

Mantoloking 

Manville 

Maple Shade 

Township 

Maplewood 

Township 

Margate City 

Matawan 

Maywood 

Merchant ville 

Metuchen 

Middlesex 

Midland Park 

MilUiurn 

Township 

Milltown 

Millville 

Mine Hill 

Township 

Mont vale 

Mont ville 

Township 

Moorestown 

Township 

Morristown 

Morris Township.-. 
Mountain Lakes — 

M ountainside 

Mount Ephraim — 

Mount Holly 

Neptune City 

Netcong 

New Milford 

New Providence 

New Shrewsbury. -- 

Newton 

North Brunswick 

Township 

North Haledon 

Northvale 

North Wildwood... 

Norwood 

Oakland 

Oaklyn 

Ocean City 

Ocean Grove 

Ocean TowTiship..-. 

Oradell 

Palisades Interstate 

Park 

Palisades Park 

Park Ridge 

Passaic Township.. 

Paulsboro 

Pemberton Town- 
ship 

Penns Grove 

Pennsville Town- 
ship 

Pequannock Town- 
ship 

Phillipsburg 

Pitman 

Pleasantville 

Point Pleasant 

Point Pleasant 

Beach 

Pompton Lakes 

Princeton Town- 
ship 



Number of 

police 
department 
employees 



City by state 



NEW JERSEY— Con. 



Prospect Park 

Ramsey 

Randolph Town- 
ship 

Red Bank 

Ridgefield 

Ridgefleld Park 

River Edge 

Riverside 

Rochelle Park 

Township 

Rockaway 

Rockaway Town- 
ship 

Roseland 

Roselle 

Roselle Park 

Roxbury To^vnship. 

Rumson 

Runnemede 

Rutherford 

Saddle Brook 

To\vnship 

Scotch Plains 

Sea Isle City 

Secaucus 

Shrewsbury 

Somerdale 

Somers Point 

Somerville 

South Amboy 

South Brunswick 

Township 

South Orange 

South Plainfield 

South River 

Sparta To\\Tiship - - - 

Spotswood 

Springfield 

Spring Lake 

Heights 

Stratford 

Summit 

Tenafly 

Toms River 

Union Beach 

Upper Penns Neck 

Township 

Upper Saddle 

River 

Ventnor City 

Verona 

Voorhees Township 

Waldwick 

Wallington 

Wanaque 

Washington 

Washington Town- 
ship 

Watchung 

Weehawken Town- 
ship 

West Caldwell 

West Deptford 

To\^^lship 

West Long Branch. 

West Paterson 

Westwood 

Wharton 

Wildwood 

Wildwood Crest 

Willingboro Town- 
ship 

Woodbury 

Woodcliff Lake 

Woodlynne 

Wood-Ridge 



Number of 

police 
department 
employees 



City by state 



NEW JERSEY— Con. 

Wrightstown 

Wyckoff 

NEV; MEXICO 

Artesia 

Aztec 

Belen 

Clayton 

Deming 

Espanola 

Eunice 

Gallup 

Jal 

Las Vegas City 

Los Alamos 

Portales 

Silver City 

Truth or Conse- 
quences 

Tucumcari 

Tularosa 

University Park . . _ 

NEW YORK 



Alfred 

Altamont 

Amity ville 

Ardsley 

Asharoken 

Attica 

Baldwins ville 

Ballston Spa 

Batavia 

Bath 

Beacon 

Bethlehem 

Blasdell 

BriarclifT Manor. 

Canajoharie 

Canandaigua 

Canastota 

Canisteo 

Canton 

Carmel 

Carthage 

Cayuga Heights - 

Cazenovia 

Chester 

Chittenango 

Cobleskill 

Cohoes 

Cooperstown 

Corinth 

Corning 

Cornwall 

Cortland 

Dans ville 

Dewitt 

Dobbs Ferry 

Dolge ville 

Dunkirk 

East Aurora 

Eastchester 

Ellenville 

Elmira Heights. 

Elmsford 

Endicott 

Evans 

Fairport 

Falconer 

Floral Park 

Fort Edward 

Fort Plain 

Fredonia 

Geneva 



Number of 

police 
department 
employees 



169 



Table 50. — Number of Full -Time Police Department Employees, December 31, 
1965, Cities With Population under 25,000 — Continued 



City by state 


Nuniber of 

police 
department 
employees 


City by state 


Number of 

police 
department 
employees 


City by state 


Number of 

police 
department 
employees 


NEW YORK-Con. 

Glens Falls 


31 
36 
6 
9 
5 
3 
6 
5 

59 

19 
L? 

17 

1 

5 

3 

24 

10 

21 

12 

13 

17 

30 

19 

28 

10 

5 

15 

13 

26 

5 

11 

5 

4 

51 

7 

15 

20 

45 

23 

9 

44 

3 

18 

17 

23 

1 

18 

17 

5 

15 
2 
6 

23 
32 
20 
23 
39 
32 
14 
1 
3 

75 
5 
39 
14 
26 
13 
33 
17 
15 
16 

38 
30 


NEW YORK-Con. 

Rotterdam. .. . 


24 

47 

3 

3 

12 

11 

29 

8 

53 

12 

2 

2 

6 

1 

12 

13 

3 

4 

25 

2 

16 

6 

20 

9 

2 

8 

11 

6 

7 

5 

3 

5 

6 

7 

12 
9 
6 
3 
2 

3 

1 

9 
26 
24 
6 
4 
3 
11 
3 
5 
8 
5 

29 
7 
5 
14 
35 
5 
26 
10 
6 
9 

12 
5 

10 
10 
3 
24 
18 
28 
1 
18 
10 
26 


NORTH 
CAROLINA— Con. 

Lexington .. . 






Rve 


33 


Goshen 


Sag Harbor .._ ._. 


Lincolnton .... 


13 


Gnn vprnpnr 


St. Johnsville 

Salamanca 


Louisburg 


8 




Lumberton 

Marion 


24 


Granville 


Saranac Lake 

Saratoga Springs 

Saugerties.. 


10 


Green Island 


Monroe 


22 


Greenport 


Morganton 

Mount Airy 


21 


Hamilton 


Scarsdale 


20 




Scotia ... 


Mount Ohve 

Murfreesboro 

New Bern 


6 


Hastings-on- 
Hudson 


Sherrill 


7 


Skaneateles 


32 




Sloan - . 


Red Springs 

Reidsville 


5 


Herkimer 


Sloatsburg 


31 


Highland 


Solvav 


Roanoke Rapids 

SaUsburv . _ _ 


28 


Highland Fails 

Hoosick Falls 

Hornell . . 


Southampton 

South Glens Falls.. 

South Nyack 

Spring Valley 

Springville 


44 


Scotland Neck 

Shelby 


6 
30 




Smithfield. 


15 


Hudson 


Sprav 


6 


Hudson Falls - .. 


SufTern 


Spring Lake 

Statesville 


3 


Illon 


Ticonderoga 

Tuckahoe 


44 


Irvlngton 


Tarboro 


17 


Johnson City 

Johnstown 


Tupper Lake 

Tuxedo 


Thomasville 

Valdese 


31 
5 




Tuxedo Park 

Vestal . 


Wadeslwro 


11 


Lake Placid 


Wake Forest 

Washington 


6 


Lakewood 


Walden 


20 




Walton 


Waynesville. . 


13 


Lancaster Village.. - 
Larchmont 


Wappingers Falls. .. 
Warsaw 


NORTH DAKOTA 

Devils Lake 

Dickinson 




Le Roy - . .. . 






Liberty 


Waterloo 


10 




Watkins Glen 


17 






7 


Lynbrook 


Wellsville 


Jamestown 


20 




Westfield 


Mandan ... .. . 


13 




Whitehall 


Rugby - 


4 


Malverne. 


Whitesboro .. .. 


South West Fargo... 

Valley City 

Williston 


3 


Mamaroneck .. 


Woodburv. .. __ _. 


11 


Massena 


Yorkville 


18 


Medina. 


NORTH CAROLINA 

Ahoskie 


OHIO 

Amberley... . . 




Middleto^^^l 

Mohawk 




Monticello. -. . 


14 








8 


New Castle 


Asheboro 


Ashland 


19 


New York Mills.... 




Aurora .. 


7 


North Castle 


Beaufort 


Avon Lake 


12 


North port 


Belhaven 


Barnes ville 


5 


North Syracuse... 




Bay Village 


15 


Norwich 


Blowing Rock 


Beachwood 


18 


NundaTown. .. .. 


Beavercreek 
Township .. 








7 


Ogdensburg 


Cary 


Bedford 


19 


Olean 


Chapel Hill 


Bellaire 


14 


Oneida 


Cherry ville 


Bellefontaine 

Belle vue - 


17 


Oneonta 


Clayton 


11 


Ossining_ .. . 


Clinton 


Belpre. 


4 


Oswego 




Berea _ 


22 


Owego 


Draper 


Bexlev 


20 


Oxford 


Elizabeth City 

Elkin 


Blue Ash 


6 


Painted Post 


Bowling Green 

Brecksville 


17 


Palisades Interstate 


Enfield 


14 


Park 




Broadview Heights. 
Brooklyn 

Brook Park.. _ _ 


7 


Palmyra.. ... . 


Forest City 


14 


Peekskill 


Fuquay Springs 


23 


Pelham 


Bryan.- _ _ .-. ... 


12 


Pelham Manor 


Granite Falls 

Havelock 


Cambridge 


20 


Penn Yan 


Campbell- .. .. .. 


23 


Plattsburgh 


Henderson 


Canfield 

Carev 


4 


Pleasantville 


Hendersonville 

Jacksonville 

Lake Waccamaw 


5 


Port Jervis 


Cehna 

Chagrin Falls 

C harden.- .. . 


13 


Potsdam 


8 


Poughkeepsie 


8 


Town 


Leaksville 


Cheviot 


8 


Riverhead Town... 


Lenoir _.- .... . . 


Circleville 


13 



170 



Table 50. — Number of Full -Time Police Department Employees, December 31, 
1965, Cities With Population under 25,000 — Continued 



City by state 


Number of 

police 
department 
employees 


City by state 


Number of 

police 
department 
employees 


City by state 


Number of 

police 
department 
employees 


OHIO— Continued 

Clyde 


8 
2 
4 

16 
4 
2 

9 
18 
17 

4 

19 

16 

25 

4 

6 

12 
5 

22 

23 

11 

25 

10 

17 
9 
7 
4 
6 
7 

13 
2 
8 
6 

10 

14 
3 
4 
8 
9 
9 
8 

10 

14 

16 

13 

12 
3 
3 

13 
9 
5 
5 
5 
7 

21 
7 

17 
7 

16 
5 

18 
4 
8 
4 
5 
4 

14 
7 
5 

11 
2 

11 
5 
4 
8 
5 

16 
8 


OHIO— Continued 

Niles 


23 
14 
8 

25 
7 
12 
14 
6 
37 

7 

4 
21 
11 
10 

9 
22 
20 

3 
12 
19 

9 
13 
15 
15 
10 
10 
26 

2 
18 
19 

7 

8 

6 
10 

7 

10 
18 

4 

7 
20 

3 

5 
14 
17 
25 

3 

4 

8 
14 
12 

3 

26 
15 
10 
13 
18 

8 

13 

4 
4 
9 
7 
12 
10 
21 
19 
9 

23 
4 

18 
16 
8 
3 
6 
17 
13 


OHIO— Continued 

Xenia 

OKLAHOMA 
Ada 


28 




North Canton 

North College Hill.. 

North Olmsted 

North Ridgeville... 

North Royaltou 

Norwalk 




Columbiana 

Coii^ieaut 




Crestline 


23 




Bethany _. 


18 


Deer Park 


Blackwell... . 


15 


Defiance 


Oak Harbor 

Oakwood 


Broken Arrow 

Checotah ... 


12 


Delaware 


3 




Oberlin 


Cherokee 


3 






Chickasha. _ 


23 


Eastlake 


Oregon 


Clare more... . .. 


13 


East Liverpool 


Orrville 


Cleveland 


4 


Ottowa Hills 

Oxford 


Collins ville 


4 


Tr.lnTivnnrl Plnpp 


Gushing . 


13 






Del City 


.18 


Fairport Harbor 


Parma Heights 

Pflnlrbnc 


Dewey 


4 


Drumright 


7 


Po'^tnria 


Perrysburg 


Duncan .. . .- 


28 






Edmond - -. 


15 


Frpmnnt 


Port Clinton 


El Reno - 


19 




Guthrie 


14 


Gallon 


Reading 


Healdton 


3 




Reynoldsburg 

Richmond Heights. 
Rittman 


Lindsay . _. 


6 


Germantown 

Gibsonburg 


Madill 


6 


McAlester 


28 


Rocky River 

Russell Township.. 


Miami- _ . 


24 


Golf Manor 


Nichols Hills 

Nowata .... 


10 


Grandyiew Heights. 


5 




Okmulgee 


18 


Greenfield 




Pauls Valley 

Pawhuska.- . 


11 


Greenhills 


Seven Hills 


12 






Perry 


6 


Grnvp Citv 


Sharonville 


Puree 11 


9 


Hicksville 


Sheffield Lake 

Shelby 


Sand Springs 

Sapulpa ...--- - 


15 


Highland Heights... 
Hilliard 


19 


Sidney 


Tahlequah 


13 


Hillsboro 


Silver Lake 


Tecumseh 


5 






Tonkawa 


5 






Village 


n 


Independence 


South Charleston... 


Vinita 


? 


Warr Acres.- 


8 


Kent 


Stow 


Yukon - . 


S 




Strongsville .. ... 


OREGON 
Albany.- 






Tiffin .- -. 






Tipp City.. .- . 






Trenton 


27 






Ashland.. 


U 




Troy 


Astoria 


2( 






Baker 


16 


Loveland 


Union City 


Beaverton 


If 




University Heights. 


Bend 


ic 




Brookings 




Marietta 


Vandalia 


Canby-- 


^ 


Marvsville 


Van Wert 


Central Point 

Coos Bay... ... .- 


f 






2: 


Mayfield 


Wapakoneta 

Washington Court 


Coquille 


c 


Medina 


Cottage Grove 

Dallas 


1^ 


Mentor-on-the-Lake 
Mianiisburg 


1 


Wauseon 


Forest Grove 

Grants Pass 


i: 


Middleport 


Waverly .. 


1. 


Mingo Junction 




i 


Wells ville 


Hermiston .-- 


i 


Montgomery 


West Carrollton 


Hillslioro 


1^ 


Hood River 




Moraine 


Westlake 


Klamath Falls 

La Grande.-- 


3 


Mount Gilead 

Mount Healthy 


Wickliffe 


1' 


Willard 


Lake Oswego 

Lebanon 


r 


Willoughby 


1 


Navarre 


Willoughby Hills... 
Willowick 


Mill City 






Milton-Free water--. 
Milwaukie 


1 


Newburgh Heights . 


Wilmington 

Windham 


2 


Myrtle Point 

Newberg 




Newcomerstown 

New Lexington 

New Philadelphia. . 
Newton Falls 


Winters ville 


I 


Newport - .- - 




Worthington 

Wyoming 


North Bend 

Ontario 


1 
1 



171 



Table 50. — Number of Full-Tirne Police Department Employees, December 31, 
1965, Cities With Population under 25,000 — Continvied 



City by state 


Number of 

police 
department 
employees 


City by state 


Number of 

police 
department 
employees 


City by state 


Numl)er of 

police 
department 
employees 


OREGON— Con. 


24 
9 
6 

10 

23 
7 
2 

12 
8 

20 
8 
8 
5 
8 

9 
18 
3 
12 
4 
7 
3 
3 
10 
5 
9 
1 
18 
2 

12 
3 
7 
1 
4 
24 
17 
15 
10 

7 
35 
15 
2 
2 
6 

15 
4 
22 
8 
24 
5 
3 
11 
2 
2 
9 
18 
3 
12 
10 

12 

2 

1 

5 

2 

2 

2 

7 

2 

13 

9 

14 

19 

23 


PENNSYLVANIA— 
Continued 

East Deer Township. 

East Lausdowne 

East Stroudsburg.__ 
Easttown Town- 


3 
4 

8 

10 

7 
4 
9 
7 
5 
5 

5 

16 
9 
3 
10 
8 
4 
22 
3 
1 
5 
2 
6 
6 
4 
6 
3 
5 

10 
28 
8 
11 
10 
6 

4 

20 

12 

7 

6 

1 

10 

16 

5 

21 

9 

15 

4 

4 

4 

2 

10 
5 

20 
2 

18 
4 

4 
4 
6 
3 
5 

17 
2 
2 

16 

6 

8 

10 


PENNSYLVANIA- 
Continued 

Lower Providence 

Township 

Lower Southampton 

Township 

Mahanoy City 

Marcus Hook 

Marple Township.. 
Marysville 










6 


Reedsport 






17 


St. Helens 


9 


Sandy 

Seaside .. ... 


East Whiteland 

Township 

Ebensburg 


8 
28 


Silverton 


6 


The Dalles 


Edsewood 


McAdoo 


3 


Tillamook _ 




McCandless Town- 
ship 




Toledo 


Edwardsville 

Elizal)ethtown 

Elizabeth Town- 
ship 


16 


West Linn 


McConnellsburg 

McKees Rocks 

McSherrystown 

Meadville 


1 




19 




1 


PENNSYLVANIA 


Ellwood City 


23 




Mechanicsburg 

Media 


5 


Anil^ler 


Emporium 


12 


Ambridge 


Ephrata. 


Meyersdale. 


4 




Etna 


Milton . 


9 


Arnold 


Exeter Towmship... 
Farrell 


Miners ville 


5 


Ashland 


Monessen 


21 


Athens . 




Monongahela 

Montours ville 

Morrisville _.- .. 


12 


Baldwin Towniship 


Fleetwood 


2 


Barnesboro 


Ford Citv . . 


10 


Beaver 


Forest Citv 


Mount Penn 

Mount Pleasant 

Mount Union 

Muhlenberg Town- 
ship 


4 


Bedford 


Fortv Fort 


11 


Bellefonte 


Fountain Hill 

Frackville 


4 


Belle Vernon ... _ _ 




Bellevue 


Franklin Township. 
Freeland 


7 


Bentleyville 


Munhall 


25 


Berwick 


Gallitzin 




2 


Birdsboro 


Glassport 


Nanticoke 


13 


Bloomsburg. „ __ 


Greensburg 


Nether Providence 

Township 

New Brighton 

New Cumberland- _ 
New Eagle 




Borough Township. 


Green Tree 


10 


Boyertown 


Greenville 


8 


Bradford 


Grove City 


7 


Brentwood . _.. 


Hamburg 


2 


Bristol 


Hampden Town- 
ship 


New Holland 

New Kensington 

North Belle Vernon. 
North Catasauqua.. 

North East 

North Sewickley 

Township 

North Versailles 

Township 

Oil City 


9 


Brownsville 


32 


Burnham-Derry 


Hanover . . 


2 


Township.. .. . 


Hatboro . .... 


3 


Butler 




4 


Butler Township... 


Honesdale _ 




Cain Township 

Cambridge Springs . 
CampHiU . 


Hummelstown 

Huntingdon 

Indiana 


2 
14 


Carnegie. 


Ingram . . 


24 


Center Township __ 


Jeannette 


Oly pliant 


6 


Chambersburg 


Jefferson 


Palmer Township.. 
PalmjTa 


6 


Churchill 


Jenkintown 


6 


Clairton . 


Jersey Shore 

Jim Thorpe _. . 


Penbrook 


3 


Clarion 


Penn Township 
(Westmoreland 




C larks Summit 

Clearfield 


Johnsonbiu-g 


5 


Clymer .. 

Coaldale. .. 


Kennedy Town- 
ship 

Kennett Square 

Kingston 

Kulpmont 

Lansdale 

Lansford 

Lawrence Park 
Township 


Penn Township 

(York County)-.. 
Pitcairn 


2 


Columbia ... _ _ 


3 


Connellsville 

Coplav .. 


Pleasant Hills 

Plymouth 


16 
12 


Coraopohs 


Portage 




Corry 


Port Allegany 

Port Carbon 

Pottsville - - 


9 


Coudersport 

Crafton 


29 


Cresson 


Prospect Park 

Punxsutawney 

Quakertown 

Republic 

Reserve Township.. 

Reynoldsville 

Richland Town- 
ship 


5 


Cressona 


Lehighton 


12 


Cumru Township. . 

Curwensville 

Dale. .. 


Lemojme 

Lewisbuig 

Lewistown 

Liaonier _. _ 


9 
2 
3 


Dallasto-\vn . 


3 


Danville 


LittlestowTi 

Lock Haven 

Lower Allen Town- 
ship 

Lower Burrell 

Lower Moreland 
Township 




Derrv 


5 


Donora 


8 


Doylestown 


Rockledge 


1 


Du Bois 


Rosslyn Farms 
Borough 




Dunmore __ 


1 


Duquesne 


Royersford 


4 



172 



Table 50. — Number of Full-Time Police Department Employees, December 31. 
1965 f Cities With Population under 25,000 — Continued 



City by state 


Number of 

police 
department 
employees 


City by state 


Number of 

police 
department 
employees 


City by state 


Numlier of 

police 
department 
employees 


PENNSYLVANIA- 
Continued 


5 

2 

4 

32 

8 
7 
5 
5 
3 
2 
8 
2 

2 
3 

1 
1 
1 

4 

8 
26 

12 

6 

' 13 

14 
9 
2 
3 

12 
7 
9 
4 
1 

10 
3 

19 
8 
3 

35 

7 
20 

8 
33 
23 

2 

11 
9 
6 
3 

31 
2 

4 
21 

8 
14 

1 
5 

2 

7 
10 


PENNSYLVANIA— 
Continued 

West Reading 

West View 


6 
8 
17 

16 

18 

7 
6 
2 

6 
5 
5 
3 
2 
11 
18 
9 

19 
21 

6 
25 
13 

5 
24 
16 
15 
30 

6 
11 
21 
29 

6 
16 
12 
21 
13 
18 
19 
20 
37 
19 
14 
23 
13 
18 
10 
34 

3 
10 

7 

17 
3 
5 
8 
18 
5 

12 
18 
4 
10 
10 
16 


TENNESSEE 
Alcoa 


12 


St. Marys. . 


Bristol 

Clarksville 


25 


Salisbury Town- 


43 


ship . ... 


Whitehall 

Whitehall Town- 
ship 


Clinton 


8 


Selinsgrove. . . 


Columbia. 


26 


Sharon 


Dyersliurg 


23 


Sharon Hill 


Whitemarsh Town- 
ship 

Whitpain Town- 
ship 

Wilkins Township.. 

Wilhamstown 

Wilhstown Town- 
ship 

Wilson Borough 

Windber 

Winton Boro 

Wyoming 

Wyomissing 

Yeadon.. 


Etowah 


6 


Sharpsburg. ._ 


Greeneville 


24 


S harps ville .. 


La FoUette 


5 


Shillington 


Lebanon... 


19 


Slatington. .. 




10 


Slippery Rock 

Somerset . 


Lexington 


10 
17 


South Greensburg.. 
South Lebanon 

Township 

Southmont 


Millington 


14 


Murfreesboro 

Norris 

Paris 


30 

1 

15 


Southwest Greens- 
burg 


Red Bank-White 
Oak 


8 


Spangler 




6 


Speers Boro 

Spring City 


Zelienople 

RHODE ISLAND 

Barrington 

Bristol 


Savannah 

ShelbyviUe 


10 
20 


Springdale 

Springettsbury 


Signal Mountain 

Springfield... - 


17 
15 


Township 


Sweetwater 


7 


Springiield Town- 


Union City. 


18 


ship 


TEXAS 

Alamo Heights 

Alpine 




Spring Garden 

Township 

Spring Township. -. 
Steelton 


Burrillville 

Cumberland 

East Greenwich 

Jamestown 


15 
4 


Stowe Township 


Johnston 

Lincoln 

Narragansett 

North Kingstown . . 
North Smithfield... 
Portsmouth 


Andrews 


10 


Stroudsburg 

Sugar Notch 


Aransas Pass 

Athens . 


11 
13 


Summit Hill 


Atlanta 


4 


Sunbury.. 




7 


Swarthmore 


Belton 


8 


Tamaqua. . 


South Kingstown. __ 
West Warwick 

SOUTH CAROLINA 

Andrews 


Borger. 


24 


Taylor 


Brady 




Telford . .. 


Brown wood 

Canadian 

Carrollton 


24 


Titusville 


3 


TrafEord. 


14 


Turtle Creek 


Carthage 


9 


Tyrone.. .. 


Castle Hills 


6 


Union City 


Bennetts ville 

Camden 


Cisco 


6 


Uniontown 


Cleburne 

CockrellHill 

Coleman 


18 


Upper Chichester 


Chester. . 


6 


Township . 




7 


Upper Dubhn 


Darlington . 


College Station 

Comanche 


7 


Township 




4 


Upper Gwynedd 




Conroe ... __ .. 


17 


Township... 


Greer 


Corsicana. ... 


28 


Upper Merlon 


Crockett 


5 


Township 


Laurens 


Daingerfield 

Dalhart 

Deer Park . . 


4 


Upper Moreland 


Marion. 


5 


Township.. ._ 


Newberry 

North Augusta 


13 


Upper Saucon 
Township 


Denver City 

Dimmitt 

Donna 

Dublin 


7 
3 


Upper Southamp- 
ton Township 


Travelers Rest 

Winnsboro 

SOUTH DAKOTA 

Belle Fourche 

Brookings ... 


6 
3 


Vandergrift. . . 




13 


Verona 

Versailles.. ... 


Duncan ville 

Eagle Pass .. 


10 
14 


Washington 


Eastland 

Edinburg 

Electra 


5 


Weatherly 


16 


Wellsboro 


8 


West Chester 


Canton 


Ennis 


10 


West Goshen 


Chamberlain 

Hot Springs 

Huron 

Lead 

Madison 

Mitchell 




13 


Township 

West Homestead . 


Farmers Branch.... 


25 
15 


West Lampeter 


Gainesville 


20 


Township 

Westmont Borough. 
West Newton 


Georgetown 

Giddings 


6 
1 


Sisseton 


Gilmer 


8 




Spearfish 




5 


Township 


Vermillion 


Graham 


13 


West Pittston 


Watertown 


Grapevine 


5 



173 



Table 50. — Number of Full -Time Police Department Employees, December 31, 
1965, Cities With Population under 25,000 — Continued 



City by state 


Number of 

police 
department 
employees 


City by state 


Number of 

police 
department 
employees 


City by state 


Number of 

police 
department 
employees 


TEXAS— Continued 

Greenville 


22 
6 

15 

14 

26 

11 

22 

"3 

4 

14 

15 

11 

17 

7 

7 

17 
8 
2 

25 
5 

24 
8 
9 
5 

14 
9 
7 

17 
8 

16 

15 

6 

3 

15 

28 

12 

35 

13 

10 

8 

9 

4 

19 
8 
10 
2 

12 
12 

9 

9 
1? 

5 

10 
21 

2 
14 

4 
12 
17 
17 
14 
13 
12 

3 

4 

6 
14 
4 
6 
5 
1 
20 
3 


UTAH— Continued 
Roy 


9 
5 
1 
5 
4 

13 
6 

17 
6 
9 

1 
3 
3 

9 

7 
1 
2 

11 

8 
6 
8 

10 
6 

13 
9 

25 

14 
5 
3 

10 
17 
14 
29 
15 
20 
26 
14 

13 

39 
10 
4 
15 
17 

18 

30 

9 

10 

17 
33 

27 

"9 

24 

28 

4 

9 

17 

10 

3 

7 

3 

2 

4 


WASHINGTON— 
Continued 

College Place 

Colville 




llearne 


St. George.-- 


6 






5 




South Ogden 

Sunset 


Des Moines 


4 


Highland Park 

Hillsboro 


Edmonds 


25 


Tooele 


Ellensburg 


14 




Vernal. - .-. 


Enumclaw 


10 




VERMONT 

Brattleboro 


Ephrata . 


11 


Iowa Park 


Fircrest 


9 


Jacinto City 

Kerniit 






Hoquiam. 


15 


IC prrvillp 


Essex Junction 

Hartford. - 


Kelso 


16 


Kilgore 


Kennewick 


20 


Lake Jackson 

Lake Worth 


A'lanchester 


Kent 


17 


Manchester Center. 

Middlebury 

Montpelier 




13 


L\aiden--. 


3 


Lewis ville 


L%'nnwood- . 


15 




Newport. . . . . 


Marvsville.-- 


6 


Lufkin 


Northfield.- . 


Mercer Island 

Moses Lake .. . 


15 


A^TcOrpcrnr 


Randolph 


18 




St. Albans-- .. 


Mountlake Terrace. 

M ou nt \'e rn on 

Oak Harbor 

Pasco - 


16 




South Burlington... 
Windsor _ 


11 


Mexia 


S 




Winooskl 


21 




VIRGINIA 


Port Angeles 

Port Orchard 

Port To\TOsend 


19 


Mount Pleasant 

Muleshoe 


10 
6 




16 




AltaVista 


Puvallup .. - 


19 


N^pw Rrnnnfpls 


Bedford 


Ravmond 


6 


North Richland 


Big Stone Gap 

Bristol 


Renton 


41 


Hills 


Selah 


3 


Olmos Park 


Buena Vista 

Chase Citv 


12 


Palacios 


Snohomish 


9 


Palestine 


Chincoteague 

Christ iansburg 

Clifton Forge 

Covington 

Franklin 

Fredericksburg 

Front Royal 

Harrisonburg 

Hopewell . 


Sunnvside. 


10 


Paris 


Toppenish 


12 


Pecos 


Town of Mercer 
Island 




Plainview 


3 


Piano 


Tumwater.. 


9 


Ravmondville 

Refuslo 




4 


Wenatchee 


32 


Richland Hills 


WEST VIRGINIA 

Benwood 




RobstowTi 


Lexington. - 




Rockdale 


Luray 


3 




Manassas 

Marion 


Blue field 


22 


Rusk 


Bridgeport 


3 


San Benito 


Martinsville 


Charles Town 

Chester 


7 




2 


Seminole 


Poquoson 

Pulaski 


Dunbar 


9 


Slaton 


Follansbee 


6 


South Houston ... 


Radford 


Hint on 


6 


Stamford 


Salem 

Saltville 


Kevser 


12 


Stephenville.- 




3 


Sweetwater--- 


South Boston 

Suffolk 


Martinsburg 

AIcMechen 


16 


Taft. .-. 


3 


Terrell 


Vinton 


Morgantown 

Nitro 


27 


Tuha 




6 


Uvalde 


Wa^Tiesboro 

Williamsburg 


Point Pleasant 

Ravens wood 

Riplev 


6 


Vernon. 


7 


Waxahachie -.. - 


4 


Weather ford 


WASHINGTON 

Aberdeen 


Spencer 


3 


Weslaco.. .. 


Vienna 


5 


White Settlement... 
Winters 


Williamstown 

WISCONSIN 

Algoma 

Aiitigo 


4 


Yoakum 


Anacortes 

Auburn. . . 








UTAH 


Belle vue. . .. 


5 




Burlington 


14 


American Fork.. .. 


Camas 


Ashland 

Bayside 

Beaver Dam 

Berlm 

Black River Falls-- 
Burlington 


14 


Bountiful. 


Centralia 


11 


Helper 


Chehalis 


20 


Midvale 


Cheney 


g 


Moab 




4 


North Ogden .. 


Cle Elum 


15 


orem . 


Clyde Hill To^\Ti... 
Colfax 


10 


Park City 


Chilton 


3 



174 



Table 50. — Number of Full- Time Police Department Employees, December 31, 
1965, Cities With Population under 25,000 — Continued 



City by state 


Number of 

police 
department 
employees 


City by state 


Nmnber of 

police 
department 
employees 


City by state 


Numl^er of 

police 
department 
employees 


WISCONSIN— Con. 

Chippewa Falls 

Clinton ville 


21 

8 

4 

3 

28 

3 

6 

9 

7 

20 

13 

25 

6 

13 

15 

10 

9 

4 

6 

4 

7 

13 

3 

4 

4 

13 

3 

4 

4 

18 

25 

4 

28 

23 


WISCONSIN— Con. 

Menomonie 

Mequon 


14 
13 
16 
7 
11 
15 
35 
5 
3 
5 
23 
12 
2 
4 

10 

7 

10 

6 

10 

15 

11 

8 

8 

6 

12 

3 

9 

4 

10 

6 

27 

29 

10 

5 


WISCONSIN-Con. 

Stevens Point 

Stoughton 

Sturgeon Bay 


28 
11 


Columbus 


MerriU 

Middleton. 


9 


Cornell.. 


5 


Cudahy 


Monona 


Tom ah 


9 


Dodge ville 


Monroe . 


Two Rivers 

Viroqua 

Water ford 


23 


Elkhorn 

Elm Grove . . 


Neenah 

Nekoosa ,.. ._ 


4 
3 




New Holstein 

New Richmond 

Oak Creek 


Watertown 

Waupaca _ 


20 


Fox Point 


8 




Waupun 

West Bend 


10 


Glen dale 


Oconomowoc 

Onalaska 

Peshtigo 

Platte ville 


17 




West Milwaukee... 

White fish Bay 

Whitewater 


24 


Green dale 


27 


Greenfield 


13 






Wisconsin Rapids. ._ 

WYOMING 
Buffalo 


31 


Hartford 


Port Washington... 

Prairie du Chien 

Reedsburg 

Rhinelander 

Rice Lake 








Hudson 






5 


Jefferson 


Evanston 

Gillette 

Green River 

Lander 

Laramie 


5 




Richland Center 

Ripon 

River Falls 

River Hills 


14 


Kewaunee 


6 


Kiel 


13 


Kimberly 


25 


Lake Geneva 


Rothschild 


Newcastle 


9 


Lake Mills 


St. Francis 

Schofiold 


Powell - 


11 


Lancaster 


Rawlins 


10 


Little Chute 


Shawano 

Sheboygan Falls 




15 




Rock Springs 


18 


Marshfield 


16 


Mayville 


South Milwaukee- -- 


Thermopolis 

Torrington 

Worland 


9 
10 


Menomonce Falls 


Spooner 


13 









176 



Table 51. — Number of Offenses Known to the Police, 1965, Cities and Towns 
25,000 and Over in Population 



City 



Cities over 250,000 in 
population 

Akron, Ohio 

Albuquerque, N. Mex. 

Atlanta, Ga 

Baltimore, Md.i 

Birmingham, Ala 



Boston, Mass 

Buffalo, N.Y 

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... 

Miami, Fla 

Milwaukee, Wis... 
Minneapolis, Mmn. 
Nashville, Tenn... 



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... 
Sacramento, Calif. 

St. Louis, Mo 

St. Paul, Minn... . 



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 



5,846 
5,646 
13, 529 
26. 193 
8,746 

22, 542 

9.833 

103, 343 

6.076 

16, 697 

10, 920 
15, 830 
5,543 
13. 688 
48, 599 

5,243 
7,172 
9. 281 
25. 238 
13. 555 

3.582 
16. 866 
11. 550 
121. 359 

11. 323 

12. 295 

13. 903 

10, 361 

14. 657 
8,796 

19,706 
16. 621 

187. 795 
7,128 

11, 647 

7.125 

5.752 

33. 113 

14. 752 
18. 495 

10, 454 

4,988 
8,848 

25, 750 
8,905 

15, 222 

10. 251 

26, 924 
6,066 

11, 826 

8,753 
7, 427 
4,379 
5,917 
25,462 

4,747 



Crhninal 
homicide 



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



14 
13 
100 
131 

56 

57 
16 

395 
41 

108 

31 
116 
27 
37 
188 



14 
71 

18 

249 

52 

41 
46 
27 
23 
55 



631 
24 
32 

27 
16 
205 
30 
40 

14 
12 
23 
138 

7 

53 
26 
57 
10 
24 

26 
20 
10 
12 
148 



Man- 
slaugh- 
ter by 
negli- 
gence 



17 
20 
44 
66 
28 

43 

1 

209 

37 

23 

28 
90 
9 
15 
33 



41 

14 

199 

21 

32 

18 
25 



67 
32 
50 

28 
25 

39 
19 
125 
42 
41 

40 



Forci- 
ble 
rape 



31 
40 
115 
260 
44 



50 

1,223 

122 

149 

77 
137 
51 



32 
70 
6 
121 
143 

16 

209 

113 

L268 

52 

63 
70 
33 

49 
58 

162 

119 

1,154 

50 



64 
28 
535 
110 
152 

58 

44 

76 

323 



Rob- 
bery 



417 
2,109 



1.109 

381 

14. 888 

317 

1,832 

517 
592 
343 

757 
5,498 

164 

392 

103 

1.434 

1.051 

121 
1,212 

719 
8.016 

633 

344 
1,136 
214 
924 
280 

1,515 

1.065 

8.904 

314 

795 



253 
2.893 

490 
1,373 

573 
187 
434 
2. 293 
362 

336 
367 
2,087 
116 
516 

525 
487 
135 
183 
2,881 



122 



Aggra- 
vated 
assault 



124 
535 
903 
3.830 
793 

930 

418 

10. 382 

651 

1,288 

529 

1,320 

424 

547 
3.728 

360 

388 

190 

2. 314 

618 

184 
1,180 

505 
9.211 

477 

481 

1,647 

477 

603 

807 

1,991 
979 

16, 325 
911 
580 

371 

30 

4,408 

766 
1,108 

282 
196 
221 
2,256 
378 

1,380 
479 

1,830 
115 
394 

718 
3G7 
236 
335 
2,635 

261 



Bur- 
glary— 
break- 
ing or 
enter- 
ing 



2. 212 
3.127 
4. 820 
7,393 
3.741 

4,681 
3.899 
30, 020 
2.451 
7,374 

5,130 
7,715 
2.595 
5.861 
18, 460 

2,927 
3.955 
4.652 
12.860 
5.691 

955 
7.219 
4.939 

50. 771 
4.138 

6,248 
6.460 
2.433 
6.855 
4,020 

7,924 

5,798 

51. 072 

2.882 
5, 141 

3.773 
2,711 
12.318 
6.273 
6,001 

4,018 
2,400 
3.522 
12. 661 
4,170 

7,161 
3,165 
11,535 
3,327 
4,965 

4,305 
3,096 
2,054 
2.270 



2,271 



Larcenv 
theft 



$50 
and 
over 



4.200 
7.053 
2.644 

2.775 
2.359 
17. 380 
1.656 

1, 025 

2,725 

2,256 

989 

3. 207 
7.416 

813 

959 
2.171 
4.380 

2. 474 

137 

3.921 

2. 753 

29, 708 

3.864 

3,613 
3,167 
3,841 
3,418 
1,802 

3,548 
3,953 
74, 983 
1,748 
2,773 

556 
1,130 

4,755 

4. 727 
3,833 

3,752 
1,356 
2,716 
2,533 
1,940 

4,165 
4,372 
3,975 
1.016 
3,938 

2,197 
2,311 
1,092 
1.929 
4,153 

1,238 



Under 
$50 



4.444 
6.057 
8. 168 
10. 383 
4,316 

3,450 
4.143 

51. 178 
7. 027 

11,993 

6.110 
18. 712 
5.038 
7,554 
25. 083 



9.397 
5.673 
13. 066 
8.191 

358 
10. 559 

4. 522 
42. 600 

4.757 

4,912 
6,177 
9.490 
8.645 
2.099 

5.372 

5.331 

40, 799 

5, 196 
8,080 

6,590 
6.389 
15. 085 
10. 802 
4.169 

7,685 

4,684 

5,661 

27, 736 

4,748 

10. 461 
9, 222 
17, 663 
10. 461 
8,601 

5,533 
7,851 
6.632 
4. 182 
8,423 

6,268 



176 



Table 51. — Number of Offenses Known to the Police, 1965, Cities and Towns 
25,000 and Over in Population — Continued 



City 



Cities 100,000 to 250,000 
in population 



Albany, N.Y... 
Alexandria, Va. 
Allentown, Pa. 
Amarillo, Tex.. 
Anaheim, Calif. 



Arlington, Va 

Austin, Tex 

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



Bridgeport, Conn_._ 

Camden, N.J 

Canton, Ohio 

Cedar Rapids, Iowa- 
Charlotte, N.C 



Chattanooga, Tenn.. 

Columbia, S.C 

Columbus, Ga 

Corpus Christi, Tex. 
Dearborn, Mich 



Des Moines. lowa. 

Duluth, Minn 

Elizabeth, N.J 

Erie, Ba 

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 

Huntsville, Ala 

Independence. Mo, 
Jackson, Miss 



Jacksonville, Fla, . . 
Kansas City, Kans. 

Knoxville, Tenn 

Lansing, Mich 

Las Vegas, Nev 



Lincoln, Nebr 

Little Rock, Ark. 

Lubbock, Tex 

Macon, Ga 

Madison, Wis 



Mobile, Ala 

Montgomery, Ala.'... 
New Bedford, Mass... 
New Haven, Conn... 
Newport News, Va... 



Index 
total 



1,901 
2,210 
1,077 
2,538 
3,901 

2,819 
3,614 
4,076 
1,594 
2,855 

3,327 

2,924 

1,805 

838 

5,691 

3,020 

2,488 
2,184 
4,750 
2,251 

3,207 
1,407 
2,806 
1,693 
3,477 

7,013 

3,748 
2,846 
5,848 
3,040 

5,734 
2.596 
3.330 

2,838 
2,362 

1,529 
3,942 
3,349 
1.393 
1,568 

6,627 
3,167 
2,783 
3,141 
2,417 

1,434 

3,672 
3,072 
2, 741 
1,576 

5,135 
2,641 
2,366 
2,735 
2,389 



Criminal 
homicide 



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



Man- 
slaugh- 
ter by 
negli- 
gence 



Forci- 
ble 
rape 



Rob- 
bery 



35 
63 

87 

54 
105 
98 
31 
165 

78 

228 

66 

16 

271 

94 
53 
47 
121 
106 

97 
38 
170 
101 
93 

317 
135 
129 
189 
67 

558 
80 
143 

58 



36 
145 
40 
37 
32 

622 
143 

65 
42 

128 



152 
50 



132 
75 
38 
19 

179 



Aggra- 
vated 
assault 



82 
311 

25 
184 

87 

161 
476 
144 
290 



74 

125 

54 

21 

729 

148 
171 

43 
509 

32 

28 
24 

247 
55 

175 

1,296 
296 
155 
122 
87 

573 
38 
115 
928 
132 

52 
257 
602 

95 
143 

419 
370 
264 
99 
132 

83 
379 
221 
272 

14 

340 
69 
109 
141 
254 



Bur- 
glary— 
break- 
ing or 
enter- 
ing 



757 

850 

445 

1,063 

2,056 

1,007 
1,860 
1, 824 
889 
1,659 

1,584 
1,373 

738 

287 

2, 577 

1,585 
1,082 

939 
1,912 

723 

1,344 
665 

1,390 
699 

1,577 

2,140 
1,907 
927 
2,155 
1,502 

1,728 

1,111 

1,355 

672 

702 



1,910 

1,032 

671 

845 

3,221 
1,512 
1,453 
1,163 

781 

544 
1,293 
1,391 
1,350 

533 

2,985 
1,169 
1,096 
1,037 
1.101 



Larceny- 
theft 



$50 
and 
over 



323 

626 

429 

932 

1,182 

1,208 
571 

1,597 
197 
523 

626 
503 
602 
302 
1,414 

322 
751 

588 

1,702 

850 

1,200 
403 
365 
341 

1,131 

2,332 
1,030 

1,184 

2,102 

984 

1,570 

848 

1,032 

771 

840 

575 

814 

1,179 



,659 
574 
520 

,163 

871 



656 
439 
106 
664 
704 



884 
475 
539 
650 



Under 

$50 



351 
1,720 

981 
2,303 

2,755 

2,391 
5,259 
3,649 
1,657 
4,009 

1,392 
1,229 
1,547 
1,555 
2,762 

1,205 
1,863 
1,233 
2,576 
3,320 

3,096 
1.570 
1,485 
1,446 
2,207 

3,799 
2,670 

3, 018 

4, 457 
1,70ft 

2,439 
1,776 
2,538 
1,844 
1,510 

1,098 
3,038 

1,757 
1,297 

1,877 

4,339 
1,991 
1,823 
2,769 

1,857 

2,755 
2,949 
2,492 
1,701 
2,504 

1, 925 
1,935 
1,104 

2, 022 
1,788 



' Figures not comparable with prior years. 



221-746 — ee- 



ls 



177 



Table 51. — Number of Offenses Known to the Police > 1965, Cities and Towns 
25,000 and Over in Population — Continued 



City 



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

Niagara Falls, N.Y 

Orlando, Fla 

Pasadena, Calif 

Paterson, N.J 

Peoria, 111 

Portsmouth, Va 

Providence, R.I 

Raleigh, N.C 

Reading, Pa 

Richmond , Va 

Riverside, Calif 

Roanoke, Va 

Rockford, 111 

Saginaw, Mich 

St. Petersburg, Fla 

Salt Lake City, Utah. 
San Bernardino, Calif. 

Santa Ana, Calif 

Savannah, Ga 

Scranton, Pa 

Shreveport, La 

South Bend, Ind 

Spokane, Wash 

Springfield, Mass 

Springfield, Mo 

Stamford, Conn 

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 

"Winston-Salem, N.C-_ 

Worcester, Mass 

Yonkers. N.Y 

Youngstown, Ohio 

Cities 50,000 to 100,000 
in population 

Abilene, Tex 

Abington Township, 

Pa _[._ 

Alameda, Calif 

Albany, Ga 

Alhambra, Calif 

Altoona, Pa. .. ... 

Amherst, N.Y 

Ann Arbor, Mich 

Appleton, Wis 

ArUngton, Mass 



Index 
total 



1.618 
2.644 
3.425 
2,699 
3,215 

2,901 
5,502 
2,610 
1,007 
6,511 

3,857 
1,872 
1,598 
2,012 
4,508 

5,510 
3,499 
2,564 
3,185 
949 

2,775 
1,725 
1,790 
1,725 
1,134 

1,752 
5.238 
2,313 
1.537 
4,289 



2, 590 

1,569 
1,159 
2,797 
3,194 
3,399 

2, 354 



1, 435 

515 

568 

503 

1,277 

522 
653 
1,490 
350 
295 



Criminal 
homicide 



Murder 
and 
non- 
negli- 
gent 
man- 

slaugh 
ter 



Man- 
slaugh- 
ter by 
negli- 
gence 



30 



Forci- 
ble 
rape 



Rob- 
bery 



82 
116 
117 
176 
138 

190 

124 

59 

30 

277 

78 
61 
64 
135 
183 

158 
103 

89 
155 

16 

127 

58 
27 
17 
35 

29 
228 
62 
47 
91 

192 
20 
36 
56 



28 
39 
48 
101 

82 



Aggra- 
vated 
assault 



251 
193 
172 
134 
203 

177 
245 
439 
38 
537 

176 
136 
39 
325 
710 

133 
112 
126 
506 
46 

543 
61 
50 
13 
29 

73 
395 
117 
160 

85 



208 
209 



57 
182 
745 

50 
166 

260 



Bur- 
glary— 
break- 
ing or 
enter- 
ing 



Larceny- 
theft 



$50 
and 
over 



500 
1,010 
1,548 
1,200 
1,408 

1,268 

2,169 

996 

523 

2,742 



795 

716 

2,211 

2,379 
1,510 
1,356 
1,306 
424 

1,121 

789 
826 
414 
662 



1,901 

1,150 

808 

2,001 

1,357 

339 

837 

1,749 

1,061 

668 

428 

1,056 

1,456 

1.319 



921 



207 
244 
296 
562 

329 
344 
346 
171 
170 



600 

906 

1,032 

284 



753 

1,028 

771 

200 

1,450 

1,174 
514 
474 
357 

1,073 

1,996 

1,239 

471 

811 

183 

529 
438 
410 
325 
269 

415 

1,949 

582 

324 

1,442 

382 
143 
723 
456 
1,041 

365 
345 
516 
474 
1,115 



484 

213 

162 

41 

455 

31 

205 

856 

91 

59 



Under 
$50 



1,213 
1,483 
3,029 
1,083 
2,199 

1,615 
3,019 
1,654 
815 
4,366 

2,734 

1,317 

1,693 

2, 

4, 

4, 
2, 
2, 
1. 



453 

210 

,565 
,256 
,773 
,383 
860 



3,085 
2,785 
3,641 
1,299 
1,777 

339 

3,468 
2,409 
2,220 
2,079 

130 

975 

1,676 

2,127 

2,221 



1,883 
1.601 
1, 752 
2,029 

1,773 



300 

934 

62 



34 

448 

1,822 

1,119 

106 



178 



Table 51. — Number of Offenses Known to the Police, 1965, Cities and Towns 
25,000 and Over in Population — Continued 



City 



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

Arlington, Tex 

Asheville, N.C 

Atlantic City, N.J..._ 

Augusta, Ga 

Aurora, Colo 

Aurora, 111 

Bakersfield, Calif 

Bay City, Mich 

Bayonne, N.J 

Berwyn, 111 

Bethlehem, Pa 

Billings. Mont 

Binghamton, N.Y 

Bloomfield, N.J 

Bloomington, Minn.. 

Boise, Idaho 

Boulder, Colo 

Bristol, Conn., 

Bristol Township, 

Pa 

Brockton, Mass 

Brookline, Mass 

Brownsville, Tex 

Buena Park, Calif 

Burbank, Calif 

Cambridge, Mass 

Champaign, 111 

Charleston, S.C 

Charleston, W. Va 

Cheektowaga, N.Y.._ 
Chesapeake, Va 

Chester, Pa 

Chicopee, Mass 

Chula Vista, CaUf 

Cicero, 111 

Cleveland Heights, 
Ohio 

Clifton, N.J 

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

Compton, Calif 

Concord, Calif 

Costa Mesa, Calif 

Council Bluffs, Iowa- 
Covington, Ky 

Cranston, R.I 

Cuyahoga Falls, Ohio 

Daly City, Calif 

Davenport, Iowa 

Daytona Beach, Fla.. 
Dearborn Heights, 

Mich 

Decatur, 111 



Index 
total 



1,098 

1,143 

2,917 

841 

817 

784 

1,940 

620 

819 

587 

815 
1, 106 

728 
552 
524 

960 
647 
357 



1,583 

1,645 
801 
1, 069 
2,022 
3,541 

726 
2,268 
1,393 

532 
1,147 

2,120 
377 
815 
857 

397 

551 
591 

1,198 
5,158 
1, 294 



1,197 

1,218 

344 

1,119 
1,675 
1,543 

892 
1,357 



Criminal 
homicide 



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



Man- 
slaugh- 
ter by 
negli- 
gence 



2" 


2 


1 


1 




1 




3 


4 


1 


8 






1 


3 


1 


4 


2 


1 




2 


--"2 


--- 


6 




1 


4 


3 





Forci- 
ble 
rape 



Rob- 
bery 



27 
90 
44 
5 
35 

140 

4 

15 

43 



30 

303 

15 

24 
25 
39 



Aggra- 
vated 
assault 



55 
79 
61 
185 
17 

42 
48 
21 
132 
10 

45 
22 
14 
3 
11 

28 
11 
16 

39 



8 
57 
28 
53 
57 

58 
79 

136 
4 

146 

277 



18 
65 

22 

20 
26 

58 

410 

23 



13 

50 

42 

2 

26 
34 
122 

36 

22 



Bur- 

gl ary— 
break- 
ing or 
enter- 
ing 



254 
370 
1,500 
290 
385 

251 
675 
257 
240 
263 

332 

478 
379 
260 
140 

285 
101 
161 

367 
708 

849 
452 
558 
881 
953 

274 
897 
517 
235 
525 

498 
111 
411 
297 

196 

294 
286 

571 

1,978 

615 

906 
416 
543 
536 
129 

334 
673 

817 



Larceny- 
theft 



$50 
and 
over 



656 
469 
766 
133 

284 

260 
836 
142 
212 
174 

252 
398 
222 

182 
277 

516 
462 
137 

142 
415 

329 
172 
243 
599 
742 

220 
847 
467 
200 
305 

191 

152 
286 
170 

100 



295 
,068 
474 

522 
327 
323 
465 
155 



332 
483 
304 

262 
392 



Under 
$50 



141 

750 

754 

2,373 

1,066 

323 

163 

835 

1,424 

701 

272 
482 

1,096 

1,074 

320 

478 
958 

916 
922 
971 
1.303 
663 

822 
1,997 
953 
799 
521 

476 
105 
855 
400 

453 

476 
363 

1,456 
2, 264 
1,407 

1,212 
830 
863 
710 
605 

612 
2,178 
1,374 

1,018 
1,363 



179 



Table 51. — Number of Offenses Knoivn to the Police^ 1965, Cities and Towns 
25,000 and Over in Population — Continued 



City 



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



Des Plaines, 111 

Downey, Calif 

Dubuque, Iowa... 

Durham, N.C 

East Chicago, Ind. 



East Orange, NJ-. 
East St. Louis, 111. 

Edison, N.J 

Elgin, 111 

Elyria, Ohio 



Euclid, Ohio... 

Eugene, Oreg 

Evanston, 111... 
Everett. Wash.. 
Fairfield, Conn. 



Fall River, Mass 

Fayetteville, N.C__. 

Florissant, Mo 

Fort Smith. Ark 

Framingham, Mass. 



Fremont, Calif.. 
Fullerton, Calif. 
Gadsden, Ala... 
Galveston, Te.x. 
Garland, Tex... 



Great Falls, Mont. 

Greece, N.Y 

Green Bay, Wis... 

Greenville, S.C 

Greenwich, Conn.. 



Hamilton Township, 

N.J 

Hamilton, Ohio 

Harrisburg, Pa 

Haverford Township, 

Pa 

Hayward, Calif 



Hialeah, F]a 

High Point, N.C. 
Hollywood, Fla... 

Holyoke, Mass 

Huntington, W. V; 



Huntington Beach, 
Calif 

Inglewood, Calif... 
Irondequoit, N.Y_. 

Irving, Tex— 

Irvington, N.J 



Joliet, 111 

Kalamazoo, Mich. 

Kenosha, "Wis 

Kettering, Ohio... 
Lafayette, La 



Index 
total 



442 
2,639 

396 
1,226 
1,396 

1,687 

2,046 

704 

463 

289 

295 
1,456 
991 
747 
725 

1,857 
1,217 



498 

1,045 
1,358 
928 
2,477 
1,038 

1,246 
393 
431 

2,302 
279 



833 
1,082 
1,123 



300 



2, 050 
803 

1,774 
703 

1,700 



1,335 

3,289 

308 

1,251 

848 

1,315 

1,696 

694 

391 

921 



Criminal 
homicide 



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



Man- 
slaugh- 
ter by 
negli- 
gence 



2 


2 


5 




12 


2 


4 


1 




3 




1 




1 


10 


11 




3 




9 


1 


1 


7 


1 




1 




1 


4 


7 


6 


5 


5 


3 




1 



1 


2 


5 


7 


2 


13 




2 


2 


1 


1 


4 


1 


1 




1 


3 





Forci- 
ble 
rape 



Rob- 
bery 



57 



18 

134 

1 

10 

30 



12 



Aggra- 
vated 
assault 



373 

194 

40 

149 

8 

30 

5 

10 

12 

103 

25 
8 

55 

293 

9 

13 

8 

53 

28 

82 

599 

66 

39 
36 

8 
162 

4 



11 
144 
32 

1 
91 

61 
35 

127 
27 

325 



60 

118 

1 

25 



Bur- 

glarj' — 
break- 
ing or 
enter- 
ing 



167 
1,094 
101 
404 
323 

689 
625 
266 
163 
115 

117 
416 
375 
374 
307 

900 
617 
156 
266 
152 

477 

528 
414 
662 

482 

594 
182 
134 
1,059 
135 



334 
297 
568 

144 

825 

813 
423 
762 
302 



574 
1, 242 
232 
511 
387 

474 
737 
276 
162 
460 



Larcenv- 
theft 



$50 
and 
over 



163 
057 
160 
227 
385 

512 
395 
282 
172 
83 

45 
770 
238 
182 
234 

311 
36 
152 
147 
227 

348 
603 
295 
743 
376 

344 
140 
189 
687 
91 



296 
483 
297 

97 



784 
200 
605 
211 
371 



546 
,163 
58 
499 
166 

480 
549 
182 
135 
258 



Under 
$50 



561 
1,174 
841 
564 
639 

752 
358 
177 
414 
234 

603 
1,473 
1,608 
1,440 

494 

386 
1,002 
424 
405 
397 

1,701 

1,447 

622 

1,155 

855 

1,209 
337 
569 

1,012 
236 



1,202 
663 

317 

1,602 

1,783 
435 

1,468 
643 

1,211 



1,252 
1,203 

500 
1,347 

627 

1,011 

2,220 

940 

883 

543 



180 



Table 51. — Number of Offenses Known to the Police, 1965, Cities and Towns 
25,000 and Over in Population — Continued 



City 



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

Lake Charles, La 

Lakewood, Ohio 

Lancaster, Pa 

Laredo, Tex 

Lawrence, Mass 

Lawton, Okla 

Lexington, Ky 

Lima, Ohio 

Lincohi Park, Mich._ 
Livonia, Mich 

Lorain, Ohio 

Lowell. Mass 

Lower Merion Town- 
ship, Pa 

Lynchburg, Va 

Lynn, Mass 

Maiden, Mass 

Manchester, N.H 

Mansfield, Ohio 

Medford, Mass 

Meriden, Conn 

Meridian, Miss 

Miami Beach. Fla 

Middletown Town- 
ship, N. J_-._ 

Midland, Tex 

Monroe, La 

Monterey Park, CaliL 
Mount Vernon, N.Y.. 
Muncie, Ind 

New Britain, Conn... 
Newport, R.I 

New Rochelle. N.Y._. 

Newton, Mass 

North Little Rock, 
Ark 

Norwalk, Conn 

Oak Park, lU 

Odessa, Tex 

Ogden, Utah 

Ontario, Cahf 

Orange, Calif 

Overland Park, Kans., 

Oxnard, Calif 

Palo Alto, Calif 

Parma, Ohio 

Pasadena, Tex 

Passaic, N.J 

Pawtucket, R.I 

Penn Hills Township, 
Pa 

Pensacola, Fla 

Pine Bluff, Ark 

Pittsfield, Mass 



Index 
total 



485 
302 
406 
923 
032 



1,335 

2,877 

940 

1,023 

1,178 

1,363 
1,097 

747 

722 

2,454 



637 
950 
483 



532 
2,565 

329 
873 
544 

842 
1,411 
1,530 
1,002 

347 

1,103 
1,527 

1,025 

829 
378 

528 

1, 050 

1,651 

901 

534 

1,147 
990 

587 

593 

1,820 

765 

538 

1,521 

704 

344 



Criminal 
homicide 



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



Man- 
slaugh- 
ter by 
negli- 
gence 



3 


5 




1 




1 


3 


2 


2 


1 




2 


1 




7 


5 


4 


1 




3 



Forci- 
ble 
rape 



Rob- 
bery 



10 
19 
13 

8 
25 

36 
109 
39 
40 
33 

51 
39 

13 

18 

87 

18 
14 



Aggra- 
vated 
assault 



26 
6 
29 
55 
20 

172 

115 

16 



88 
25 

24 
42 
157 



46 

1 

17 

29 

26 

13 
80 
179 

12 
53 
38 
48 
15 

41 
12 



72 
2 

24 
80 
83 
34 
24 

59 
16 
45 

84 
277 



132 
53 
6 



Bur- 
glary— 
break- 
ing or 
enter- 
ing 



279 
176 
191 
479 
402 

504 
1,101 
473 
250 
569 

525 
324 

334 

452 

1,058 

216 
302 
434 
153 
241 

325 
1,247 

145 
433 
186 

304 

551 
727 
531 
141 

386 

726 

425 
261 

182 

295 
511 
935 
490 

257 

457 
430 
292 
213 
550 

343 

301 
700 
305 
141 



Larceny- 
theft 



$50 
and 
over 



114 
43 
97 
270 
136 



1,110 

278 
439 
225 

237 
247 

272 
119 
363 

154 
210 

277 
202 
229 



905 

118 

237 

80 



433 
291 
245 
140 

421 

522 

264 

318 

73 

92 

218 
405 

228 
198 

353 
400 
144 
201 
396 



238 



361 
248 
126 



Under 
$50 



388 
785 
861 
319 



1,197 
1,853 
1,146 
1,315 

1,587 

636 
576 

417 

861 

1,211 

168 
730 
856 
419 
304 

363 
1,843 



707 
1,228 

403 

588 
655 
561 
169 

520 
639 

912 
590 
196 

1,948 

1,779 

1,058 

504 

403 

919 
1,039 

588 
768 
625 



389 



181 
1,381 



188 



181 



Table 51. — Number of Offenses Known to the Police, 1965, Cities and Towns 
25,000 and Over in Population — Continued 



City 



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

Pomona. Calif 

Pontiac, Mich 

Port Arthur. Tex 

Portland. Maine 

Prichard, Ala 

Pueblo, Colo 

Quincy, Mass 

Racine, "Wis 

Rapid City, S. Dak... 
Redford Township, 
Mich 

Redondo Beach, Calif. 
Redwood City, Calif. . 

Reno, Nev 

Richmond, Calif 

Rock Island. Ill 

Rome, N.Y 

Roseville, Mich 

Royal Oak, Mich 

St. Clair Shores, Mich. 
St. Joseph, Mo 

Salem. Oreg 

Salinas, Calif 

San Anaelo, Tex 

San Leandro. CaUf 

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, Ohio 

Stockton, Calif 

Sunnyvale, Calif 

Tallahassee, Fla 

Terre Haute, Ind 

Tonawanda Town, 
-X.Y 

Troy, N.Y 

Tuscaloosa, Ala 

Tvler, Tex 

Union City, N.J 

Union Township, N.J. 
University City, Mo.. 
Upper Darby Town- 
ship, Pa 

Vallejo, Calif 

Waltham, Mass 



Index 
total 



2.179 

2,219 

552 

939 

731 

1,120 
1,166 
1,392 

781 

884 

2,297 
1,094 
2,343 
2,677 
1,087 

286 
972 
1,129 
993 
716 

1,110 
1,760 
808 
1,465 
1,488 

1,653 
1,230 
3,540 
563 
1,270 

576 
1,229 
1,793 
1,757 
1,459 

941 

2.700 

830 

973 

1,141 



569 
1,047 

1,228 
361 
811 



571 

829 

1,428 

799 



Criminal 
homicide 



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



Man- 
slaugh- 
ter by 
negli- 
gence 



Forci- 
ble 
rape 



1 


5 




9 


1 


7 


1 


1 




8 


1 


3 


2 




5 


2 


1 





Rob- 
bery 



60 

19 

102 

131 

37 

1 
22 
44 



12 

150 

11 

15 

10 
19 
47 
83 
81 



Aggra- 
vated 
assault 



95 

249 

6 

33 
115 

85 

12 

227 

18 

42 



53 
224 

56 



52 

201 

13 

24 

32 
69 
22 
31 



13 
136 

67 
115 

17 



Bur- 
glary— 
break- 
ing or 
enter- 
ing 



283 
396 
331 

422 
431 
503 
197 



456 

964 

1,310 

345 

118 
357 
507 
470 
371 

471 
934 
463 
653 
675 



514 
1,328 

285 
458 

195 
405 
770 



413 

1,115 

340 



271 
463 
661 
247 
422 

333 
313 

357 

548 
300 



Larceny- 
theft 



$50 
and 
over 



640 
801 
148 
299 
152 

389 
319 
343 
401 

362 

363 
664 
637 
470 

97 
401 
306 
409 
204 

413 

468 
222 
516 
510 

625 

460 

1.365 



252 
581 
379 
542 
342 

253 
726 
317 
311 
414 



211 
220 
354 
59 
117 

311 
172 

187 
455 



182 



Table 51. — Number of Offenses Known to the Police, 1965, 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- 
ing or 
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 60,000 to 100,000 
in population— Con. 

Warren, Ohio 


1,086 
1,663 

891 
928 
812 

411 
454 

1,482 
373 

1,134 

1,044 

204 

444 

1,391 

1,451 

484 
2,633 

997 
621 
680 

163 
136 

698 
246 
556 

436 

466 

236 

99 

1,557 

752 
425 
523 
904 
260 

179 
299 
427 
1,134 
256 

212 
173 
201 

749 
118 

1,082 
204 
413 
193 
829 


2 
2 

3 

2 
4 


2 
3 

2 

1 
2 


5 
4 

9 
11 

5 


25 
5 

16 
41 
37 

5 
7 

24 
5 

14 

33 
1 
14 
34 
39 

7 
196 

22 
10 
39 

1 

1 

31 

10 

22 

26 
24 

1 

1 

55 

15 

5 

34 

12 

1 

5 
5 
10 

7 


42 
34 

63 
30 
56 

10 

2 
26 

8 
45 

70 
9 
24 
182 
40 

27 
24 

11 
8 
33 

8 
5 
2 
9 
18 

24 
11 

7 

5 

66 

36 

30 

191 

14 

6 

3 

6 

28 
92 

5 

5 
.. 

53 

1 

69 
2 

62 
7 

73 


450 
672 

317 
334 
233 

139 
147 

760 
204 
609 

559 
74 
204 
437 
730 

164 
1,172 

466 
280 
299 

73 

98 
472 

88 
199 

193 
319 

75 

37 

398 

342 

178 

129 

393 

99 

63 
173 
218 
534 
113 

114 

89 
102 
454 

40 

510 
117 
141 
90 
383 


343 

715 

414 
338 
314 

197 
204 
432 
80 
302 

215 

81 
148 
575 
357 

125 
539 

354 
247 
148 

48 
21 
88 
107 
238 

136 
64 

125 
39 

549 

186 
139 
140 
394 
114 

92 

77 
128 
324 

76 

67 
66 
54 
114 
46 

317 
38 
90 
79 

265 


774 
1,035 

824 
938 
838 

516 

1,036 

904 

123 

782 

1,563 
73 

460 
534 
510 

313 
1,842 

623 
910 
695 

322 
309 
580 
196 
674 

535 
702 
303 

88 
1,087 

123 
291 
210 
763 
554 

159 
276 
422 
456 
190 

261 
156 
456 
628 
114 

636 
430 
411 
200 
1,375 


219 


Warwick R I 


131 


Waterford Township, 
Mich 


69 


Waterloo, Iowa 

Waukegan, 111 


172 
163 




60 


West Allis, Wis 

West Covina, Calif,.-. 
West Hartford, Conn 


2 

1 


2 
3 


22' 
10 
6 

7 
2 
_.. 

5 

2 
6 

1 
3 
9 


92 
217 
66 


Westminster, Calif 

West Pahn Beach, Fla. 

Weymouth, Mass 

Wheeling, W. Va 

White Plains, N.Y.... 
Whittier, Cahf 


8 
2 
1 
3 


3 

4 

1 
1 
1 
2 


158 

152 
35 
53 
149 
280 


Wilkes-Barre Pa 


159 


Wilmington, Del 

Woodbridge Town- 
ship N J 


10 
1 
f 

1 

3 

2 

__ 


5 

1 
3 
2 


686 
142 


Wyoming, Mich 

York, Pa 


73 
151 


Cities 25,000 to 50,000 
in population 

Aberdeen S Dak 


32 


Alamogordo, N. M'ex.. 
Alexandria, La 


1 

3- 

1 


__ 

2 
5 

1 


11 
101 


Aliquippa, Pa 


28 


Allen Park, Mich 

Alliance, Ohio 


74 
56 


Alton, 111 


47 


Ames Iowa 






28 


Amesterdam N Y 






1 
10 

8 
2 
3 
2 

1 


16 


Anchorage, Alaska 


7 




472 
165 




1 
5 


__ 

1 


70 


Anniston, Ala 


21 


Arcadia, Calif.. _ 


89 


Arlington Heights, 111. 
Arvada Colo 


40 
15 








38 


Ashtabula, Ohio 

Athens, Ga 


3 

8 


1 
6 
3 

2 


2 
4 
5 


38 
165 


Attleboro, Mass 

Auburn, Maine 

Auburn N Y 


55 
2b 




2 

1 
27 

32 

1 
16 

1 
19 


ir 










36 




2 

1 
3 


i 

1 
1 


3 

9 

-. 


96 


Baldwin Borough, Pa. 

Baldwin Park, Calif... 
Bangor, Maine . . _ . 


29 

144 
43 




1&2 


Bartlesville Okla 






16 


Battle Creek, Mich.— 


i 


2 


4 


84 



183 



Table 51. — Number of Offenses Known to the Police, 1965, Cities and Towns 
25,000 and Over in Population — Continued 



City 



Cities 25.000 to 50,000 
in population— Con. 



Bavtown, Tex 

Belleville, 111 

Belleville, N.J 

Bellingham, Wash. 
Belmont, Mass 



Beloit, Wis 

Bensaleni Township, 
Pa 

Bergenfield, N.J 

Bessemer, Ala 

Bethel Park, Pa 



Beverlv, Mass 

Beverly Hills, Calif. 

Big Spring, Tex 

Biloxi, Miss 

Birmingham, Mich.. 



Bismarck, N. Dak. 
Bloomington, 111... 
Bloomington, Ind. 
Blytheville, Ark.. 
Bossier City, La. . 



Bowling Green, Ky. 
Braintree, Mass....". 

Bremerton, Wash 

Brighton, N.Y 

Brooklyn Center, 
Minn 



Bryan, Tex 

Burlingame, Calif. 
Burlington, Iowa.. 
Burlington, N.C.. 
Burlington, Vt 



Butte, Mont 

Calumet City, 111.... 
Cape Girardeau, Mo. 
Carlsbad, N.Mex... 
Casper, Wyo 



Cedar Falls, Iowa... 
Charlottesville, Va.. 

Chelsea, Mass 

Cheltenham Town- 
ship, Pa 

Cherry Hill, N.J... . 



Cheyenne, Wyo 

Chicago Heights, ill. 

Chillicothe, Ohio 

Clarksburg, W. Va... 
Clarkstown, N.Y.... 



Clearwater, Fla. 
Chnton, Iowa... 
Clovis, N. Mex.. 
Columbia, Mo... 
Columbus, Miss. 



Index 
total 



551 
413 
335 

297 
258 

235 

182 

88 

674 

165 

534 
512 
396 
528 
290 



714 
473 
426 
334 

659 
409 



246 

416 
684 
175 
486 
342 

483 
664 
281 



617 

132 
347 
751 

585 
1,005 

575 
871 
160 



742 
320 
788 
384 
313 



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 



74 



5 

5 

130 

5 



105 
17 



125 



10 


2 


1 


10 


5 


29 


31 


19 


10 




13 


16 


14 


20 


31 


124 


5 


4 



Incomplete 



6 


3 


17 


34 


6 


1 


13 


18 


14 


22 


5 


33 



239 
192 
175 
98 
146 

99 

74 
32 
221 

84 

226 
239 
196 
202 
93 



130 
155 
HI 

219 
122 
213 
123 

131 

147 
314 

105 
149 
121 

123 
238 
125 



Incomplete 

316 



63 
116 

284 

224 
330 

207 

3^5 

92 



310 
96 
345 
164 
167 



Larceny- 


theft 


$50 


Under 


and 


$50 


over 




194 


374 


171 


447 


79 


80 


135 


899 


t i 


135 


73 


420 


48 


132 


35 


64 


227 


426 


52 


98 


176 


494 


133 


226 


108 


299 


142 


263 


141 


539 


101 


535 


269 


597 


206 


530 


185 


287 


122 


220 


232 


342 


174 


180 


155 


710 


107 


250 


73 


395 


115 


235 


249 


290 


40 


307 


179 


363 


71 


546 


164 


352 


201 


310 


90 


343 


177 


708 


37 


110 


157 


483 


110 


180 


234 


453 


497 


399 


217 


945 


226 


449 


45 


91 


212 


466 


289 


739 


156 


567 


328 


651 


142 


688 


73 


148 



184 



Table 51. — Number of Offenses Known to the Police, 1965, 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- 
ing or 
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 60,000 
in populaiion— Con. 

Concord N H 


117 
219 
1, 125 
115 
646 

102 
205 
1,312 
173 
432 

729 
661 










4 
8 
5 
5 
43 


36 
106 
381 

29 
275 

57 
104 
501 

54 
178 

334 
239 


51 
72 

591 
61 

180 

36 
66 

449 
72 

166 

259 
246 

85 
104 

25 

152 

71 

99 

85 

251 
230 

44 
166 

68 

156 
187 
85 
160 
227 

148 
88 

218 
95 

229 

411 

79 
147 

65 
191 

258 
116 
196 
210 
113 

76 
129 

87 
241 


40 
346 
854 
643 
272 

84 
237 
633 
222 
225 

679 
649 

106 
166 

160 
329 

277 

256 
512 

781 
456 

63 
236 
400 

228 
502 
530 
767 
692 

544 
291 
496 
358 
779 

713 

228 

530 

65 

730 

709 
177 
373 
352 
379 

705 

247 

336 
905 


26 


Coon Rapids, Minn... 
Coral Gables Fla 










33 






3 


29 


116 


Corvallis, Oreg 

Covina Calif 


2 




18 




3 

1 


19 


126 


Cranford Township, 
N J 






8 


Crystal Minn 






3 
83 

5 

1 

21 

5 

I 


6 
47 

2 
14 

37 
102 


26 


Culver City, Calif 

Cumberland, Md 

Danbury, Conn 

Danville, 111 






3 

1 
3 

3 
9 


229 


1 
1 

3 

8 

1 

1 
3 

1 


2 


38 
69 

72 


Danville, Va. _.. 


52 




ncomplete 






198 
340 

166 
331 
301 

208 
437 

718 
569 

149 
294 
373 

433 

586 
227 
360 
662 

440 
295 
425 
273 
598 

2,113 

220 
432 
330 
530 

486 
587 
380 
546 
246 

236 
285 


2 

2 

28 

9 

67 

2 
13 

18 
9 

1 
11 
11 

.. 

'7' 

15 

14 

117 
41 
24 

47 

89 

7 

24 

14 

9 

19 
23 

2 

13 
13 

9 

3 

ncomple 


61 
126 

89 
104 
126 

82 
183 

291 
258 

69 
88 
217 

205 
278 
98 
132 
306 

199 
72 
113 
107 
271 

1,100 
111 

188 
201 
218 

120 
255 

56 
209 

81 

110 
130 

te 


49 


FJprihnm Mass 


1 

1 
1 






108 


Denison, Tex 


2 
-- 


1 
4 

7 

1 
32 

20 

7 

1 
3 

15 

1 

1 
1 

1 
5 

21 
3 
8 
5 

85 
6 

9 

13 

24 
9 
7 
6 
4 

3 

2 

I 

4 

5 


20 


Denton, Tex 


59 


Dothan, Ala 


26 


East Brunswick 
Township, N.J 


24 






3 
1 


121 


East Detroit, Mich 






137 


East Hartford Conn 






65 


East Haven Town, 
Conn 








34 


East Lansing, Mich... 
Easton, Pa 




4 


2 
f 

-- 

1 
4 

2 


26 
61 


East Point, Ga 

East Providence, R. I. 
Eau Claire Wis 


1 


f 


68 
112 
42 




2 

1 
2 
1 


1 

1 
1 
2 


60 


El Cajon, Cahf 

El Cerrito, Calif 

El Dorado, Ark 

Elkhart, Ind 


103 

56 
13 
40 


Elmhurst, 111 


40 


Ehnira N Y 


2 

3 

1 
2 
1 
1 




42 


El Monte, Calif 

Enfield, Conn 




13 

5 
1 

4 
.- 

-. 

2 
1 


412 
16 


Englewood, Colo 

Englewood, N.J 

Enid, Okla 


66 
31 
110 


Eureka, Calif 


61 


Everett, Mass 




1 


184 


Evergreen Park, IU_-. 
Ewing Township, N.J 


118 




3 


108 
32 


Fairfield, Calif 

Fair Lawn, N.J 

Fairmont, W Va 


1 
1 


-- 

1 
1 


35 
19 


Falls Township, Pa. . - 
Fargo, N. Dak 


240 
464 


2 118 
5 151 


29 
59 



185 



Table 51. — Number of Offenses Known to the Police, 1965, Cities and Towns 
25,000 and Over in PopaZotion^Continued 



City 



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

Farmington, N. Mex. 

Ferguson, Mo 

Ferndale, Mich 

Findlay, Ohio 

Fitchburg, Mass 



Flagstaff, Ariz 

Florence, Ala 

Florence, S.C 

Fond du Lac, Wis- 
Fort Collins, Colo. 

Fort Dodge, Iowa- 
Fort Lee, N.J 

Fort Mvers, Fla... 
Fort Pierce, Fla... 
Freeport, III 



Freeport, N.Y 

Gainesville, Fla 

Galesburg, 111 

Gardena, Calif 

Garden City, Mich 

Garden City, N.Y 

Garfield, N.J 

Garfield Heights.Ohio 
Gastonia, N.C 

Glen Cove, N.Y 



Glendale, Ariz 

Glendora, Calif 

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 

Gulfport, Miss 

Hackensack, N.J 

Hagerstown, Md 



Haltom City, Tex.. 

Haniden, Conn 

H amt ra m ck . M ich . 

Harlingen, Tex 

Harvey, 111 



Hattiesburg, Miss. 
Haverhill, Mass... 
Hawthorne, Calif.. 
Hazel Park, Mich. 
Hazleton, Pa 



Hempstead, N.Y. 
Highland Park, 111 
Highland Park. Mich. 

Hilo. Hawaii 

Hobbs, N. Mex. 



Index 
total 



399 
256 
602 
255 
547 

459 
317 
575 
228 
576 

338 
435 
512 



182 



937 
304 



353 
1.39 
247 
820 
300 

494 
519 
.330 
662 
376 

309 
890 
583 
343 
692 

328 
425 
404 



310 
467 
1,433 
395 
763 

367 

708 
1.482 



799 
221 
2,011 
213 
571 



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 



Larceny- 
theft 



$50 
and 
over 



Incomplete 



2 


21 


11 


23 


27 


50 


9 


15 


56 


35 


12 


28 


3 


11 


4 


9 


18 


7 


9 


207 


1 


18 


7 


41 


7 


28 


1 


7 


7 


56 


4 




1 





17 


91 


13 


10 


3 


s 


9 


47 


3 


20 


3 


73 


11 


13 


13 


16 


18 


28 


18 


12 


3 


5 


135 


104 


9 


63 


42 


31 


8 


36 


10 


9 


57 


27 



Incomplete 
Incomplete 



35 


36 


9 


9 


269 


78 




11 


16 


15 



103 
245 
129 
263 

156 
178 
328 
106 
112 

183 
231 

278 

65 

236 
479 
144 
471 
121 

150 
56 
152 
288 
121 

248 
293 
139 
324 
137 

123 
411 
329 
108 



186 
177 
180 
211 
305 

82 
172 
408 
174 
206 

157 
377 
495 



319 
89 
722 
124 
269 



153 
96 

190 
93 

190 

194 

84 

109 

66 
357 



120 

137 



61 



258 
279 



132 

169 
31 
47 

196 

77 

128 
134 
66 
185 
161 

145 
236 
104 
143 
351 

92 
119 
130 
308 
160 

71 
230 
334 
123 

257 

125 
159 
640 



270 
84 

604 
58 

197 



186 



Table 51. — Number of Offenses Known to the Police, 1965, Cities and Towns 
25,000 and Over in Population — Continued 



City 



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



Hoboken, N J 

Holland, Mich__. 
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. 

Johnstown, Pa 

Joplin, Mo 

Kankakee, 111 

Kannapolis, N.C 



Kearny, N.J 

Key West, Fla.... 

Killeen, Tck 

Kingsport, Tenn. 
Kingston, N.Y... 



Kingsville, Tex 

Kinston, N.C 

Kirkwood, Mo 

Kokomo, Ind 

Lackawanna, N.Y. 



La Crosse, Wis. . 
Lafayette, Ind... 
La Grange, Ga.. 
La Habra, Calif. 
Lakeland, Fla... 



La Mesa, Calif 

Lancaster, Ohio 

Las Cruces, N. Mex. 

Laurel, Miss 

Lawrence, Kans 



Leavenworth, Kans. 

Lebanon, Pa 

Leominster, Mass 

Lewiston, Maine 

Lexington, Mass 



Linden, N.J 

Livermore, Calif. 
Livingston, N.J.. 
Lockport, N.Y.. 
Lodi, Calif 



Lodi, N.J 

Lombard, 111 

Long Beach, N.Y. 
Long Branch, N.J. 
Longview, Tex 



Index 
total 



539 

89 

611 

336 

1,440 

311 
633 

846 
493 
380 

849 
492 
316 
374 
238 

633 
311 

515 

477 
274 

278 
352 
397 
317 
422 

168 
435 
291 
533 
554 

345 

646 
190 
732 

718 

471 

566 
528 
429 
600 

275 
235 
307 
394 
231 

613 

347 
142 

284 
236 

334 
90 

886 
453 

478 



Criminal 
homicide 



Murder 
and 
non- 
negli- 
gent 
man- 
slaugl 
ter 



Man- 
slaugh- 
ter by 
negli- 
gence 



Forci- 
ble 
rape 



Rob- 
bery 



20 

1 
15 

7 

126 



Aggra- 
vated 
assault 



45 

2 

32 

30 

52 

12 

3 

148 

11 



13 



Bur- 
glary— 
break- 
ing or 
enter- 
ing 



249 
49 
318 
101 



634 

184 
146 
375 
184 
66 

379 
275 
206 
148 
100 



Larceny- 
theft 



44 


214 


12 


177 


5 


257 


113 


164 


91 


69 


5 


118 


67 


114 


47 


223 


9 


147 


82 


138 


5 


85 


146 


85 


17 


126 


3 


181 


68 


184 




162 


4 


331 


35 


71 


12 


340 


30 


317 


17 


234 


71 


268 


26 


287 


81 


159 


28 


209 


8 


135 


3 


93 


6 


153 


14 


181 




133 


11 


258 


11 


209 


13 


56 


38 


85 


5 


107 


14 


115 


8 


36 


118 


248 


19 


133 


61 


238 



$50 
and 
over 



27 
15 

187 
157 

304 



415 

98 
198 
212 

268 
129 

42 
156 

94 

201 
46 
193 
115 
71 

81 
87 
77 
120 
139 

54 
117 
102 
188 
137 

112 
202 
52 
292 
246 

170 



125 
296 

101 

88 
87 
124 
75 

158 
95 
55 

118 

84 

141 
37 
390 
201 
119 



Under 
$50 



54 
396 
310 
200 

845 

715 
824 
317 
357 
436 

824 
360 
44 
536 
367 

350 
221 
503 

482 
271 

178 
122 
150 
285 
244 

132 
290 
341 
724 
238 



580 
235 
489 
976 

518 
327 
593 
226 
834 

345 
386 
299 
538 
151 

413 
494 
127 
232 
310 

165 
103 

418 
195 



187 



Table 51. — Number of Offenses Known to the Police, 1965, Cities and Towns 
25,000 and Over in Population — Continued 





Index 
total 


Criminal 
homicide 


Forci- 
ble 
rape 


Rob- 
bery 


Aggra- 
vated 
assault 


Bur- 
glary— 
l3reak- 
ing or 
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. 

Longview, Wash 


240 
1,318 

474 

311 

419 

1,209 

282 
216 
202 
846 

559 
512 
252 
345 
396 

514 
98 
588 
722 
191 

371 
219 
990 
426 
513 

904 
320 

789 

276 
149 

619 
651 

282 
251 
124 

267 

425 

551 

1,492 

778 

172 
687 
502 
1,155 
916 

210 
140 
155 
596 
485 






1 

' 
1 

1 


2 
69 

13 

6 

14 

1 


3 

28 

11 

4 
4 

92 

'i 

10 
15 
45 

9 

4 

20 

2 

n 

29 

53" 

21 

32 

9 

21 
33 
11 

111 
21 
10 

8 
1 

28 
5 

17 
2 


132 
615 

194 

128 

216 

727 
116 
31 
81 
295 

253 
164 
121 

126 
172 

254 
66 
247 
297 
104 

163 
72 
309 
176 
321 

319 
136 
373 

116 

48 

267 
195 

137 
124 

87 

82 
166 
194 
907 
342 

85 
316 
217 
662 
414 

50 

78 

51 

191 

210 


48 
418 

183 

125 

159 

305 
133 
133 

46 
276 

183 
267 
93 
152 
124 

111 

24 
121 
302 

56 

107 
118 
540 
162 

82 

286 

78 

228 

99 
73 

257 
331 

90 
34 
31 

106 
164 
212 
231 
291 

51 
203 
205 
222 
298 

107 
56 
67 
278 
179 


443 
444 

453 

166 

359 

526 
578 
530 
310 
469 

634 
694 
196 
450 
347 

192 
363 
318 

728 
243 

325 
225 
1,056 
564 
230 

412 
158 
691 

343 
593 

552 
496 

189 
31 
30 

488 

901 

1,063 

2,181 

499 

260 
270 
323 
524 
620 

176 

69 

79 

837 

498 


54 


Lynwood, Calif 

Madison Heights, 
Mich 

Madison Township, 
N.J 


1 

1 
1 


1 
3 

1 

1 


180 
72 
53 


Manchester Town- 


33 


Manhattan Beach, 
Calif 


133 


Manitowoc, Wis 


31 


Mankato, Minn.. _ __ 


1 
_. 






41 


Maple Heights, Ohio.. 
Marietta, Ga 


1 
2 


1 
1 


11 
12 

5 
4 

9 

4 
19 

22 
'i 

28 
5 
1 

10 
2 
11 

2 

25 

3 

30 

6 

1 

10 
5 

3 
3 


48 

914 




109 


Marion, Ohio 






1 
3 

1 

11 


79 


Marshall, Tex . . _ . 


_- 
2 
3 


1 


13 


Mason City, Iowa 

MasstUon, Ohio 

Maywood, 111 

McAUen, Tex 


59 

68 

84 
4 


McKeesport. Pa 

Medford, Oreg 




3 


6 
4 


133 
93 


Melrose, Mass _ _ 






23 


MenloPark, Calif 

Mentor, Ohio 


1 




1 
3 

2 

3 
2 

8 


56 
24 


Mesa, Ari7, . 


1 
1 
1 

3 

.- 

1 
1 

1 


1 
2 
3 

1 
3 


105 


Mesquite, Tex 


45 


Methuen, Mass 

Michigan Citv, Ind 

Middletown, Conn 

Middletowa, Ohio 

Middletown Town- 
ship. Pa 


94 

157 
80 
138 

46 


Midland, Mich... 


2 


1 

2 

1 

2 


94 


Midwest City, Okla... 
MilfordTown, Conn.. 


54 
114 


Millcreek Township, 
Pa 


1 




39 


Milton, Mass... . _ 


88 


Minnetonka, Minn 








6 


Minot, N. Dak 






1 


2 

4 
51 
16 

1 
18 

4 
35 
23 

1 
3 

6 

7 

17 


17 
10 
10 
52 
14 

17 

44 

29 
23 

3 
-- 

13 
11 


59 


Mishawaka, Ind 






78 


Missoula, Mont. 


1 
2 

1 
3 
-. 






130 


Modesto, Calif 


1 
1 

1 
1 
2 
1 
1 


1 

10 

3 

5 

10 


249 


Moline, 111 


109 
16 


Monroe, Mich 


Monrovia, Calif. 

Montclair, N.J... 


93 
66 


Montebello, Calif 

Monterey, Calif 

Moorhead, Minn .. _ 


199 
148 

49 


Morristo\\-n, Term 








3 


Morton Grove, HI 

Mountain View, Calif.. 
Mount Clemens, Mich 


2 
2 


1 
2 


3 


30 
102 
63 



188 



Table 51. — Number of Offenses Known to the Police, 1965, 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- 
ing or 
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. 

Mount Lebanon 

Township, Pa 

Mount Pleasant, N Y 


138 
84 
156 
913 
601 

382 
275 
272 
201 
609 

162 

425 

853 

583 

1,077 

683 
486 
118 
719 
514 

2,081 
324 
622 
570 
115 

583 
249 

148 

799 
776 

515 

184 
324 
338 
359 

299 
174 
518 
413 
112 

904 

781 
186 
184 
377 

212 
314 
943 
419 

483 










1 

1 

2 

115 

25 

9 

8 

19 

2 

7 

2 

22 
83 
8 
96 

105 

2 

22 

27 

18 

54 
9 
19 
75 
4 

6 

25 

3 
34 

8 

13 

2 
6 
12 

13 

38" 
34 
22 

40 

52 

12 

1 

4 

4 

26 
34 

7 
72 


76 

37 

39 

365 

315 

165 
96 

116 
51 

211 

71 

147 
294 
165 
431 

326 
239 
57 
306 
183 

988 
72 
204 
242 
58 

204 
62 

54 
249 
368 

206 

86 
175 
130 
156 

182 
102 
147 
121 
43 

364 
371 

71 
72 
198 

92 
128 
401 
213 
272 


38 
22 
40 
294 
130 

160 
86 
102 
121 
251 

48 

132 

305 
304 

278 

168 
147 

28 
229 
150 

874 
178 
315 
141 
25 

211 

66 

68 
330 
304 

210 

60 
92 
120 
105 

66 
45 
201 
194 
33 

321 

164 

74 

91 

109 

57 
96 
396 
97 
63 


93 
130 
308 
1,093 
531 

759 
318 

284 

74 

815 

152 

165 
679 
527 
591 

311 
209 
149 
381 
342 

1,497 

202 

531 

319 

69 

213 
244 

130 
371 

628 

589 

112 
160 
192 
209 

471 
46 
615 
620 
143 

833 
342 
141 

82 
939 

176 
307 
702 
383 
684 


23 


1 






1 

2 

30 

14 

7 
3 
2 

1 
37 

1 

13 
34 

7 
60 

14 
13 
2 
15 
19 

17 

7 

8 
3 

21 
13 

3 
35 

16 

22 

2 
11 

1 
12 

2 

2 

12 

16 

1 

27 

46 

4 

1 


22 


Mount Prospect, 111.... 

Muskegon, Mich 

Muskogee, Okla 

Napa, Calif 






73 


1 
3 

1 

1 
2 


3 
1 


3 

5 

1 
3 

1 


105 
109 

39 


Nashua, N.H 


78 


Natchez, Miss 


30 


Natick Mass 


26 


National City, Calif.-. 
Needham, Mass._. 


1 


2 


5 

1 

7 
1 
6 
2 

1 


97 
39 


Neptune Township, 
N.J 


1 
2 


2 

1 


103 


New Albany, Ind 

Newark Ohio 


134 
93 


New Brunswick, N.J.. 

Newburgh, N.Y 

New Castle, Pa 


1 
3 





209 

66 
85 


New Iberia La 








9 


New London, Conn... 
Newport, Ky. 


1 
1 

1 


2 

1 

1 


2 
2 

7 


139 
141 


Newport Beach, Calif. 
Niles, 111 . 


141 

58 


Norman, Okla 


81 


Norristown, Pa 

Northampton', Mass 


3 


6 
6 


97 
19 


North Bergen Town- 
ship N J 


1 




140 


North Chicago, 111 

North Huntingdon 

Township. Pa 

North Las Vegas, Nev . 
North Miami Fla 






83 






6 

10 
3 


14 


3 


o 


138 

77 


North Miami Beach, 
Fla _ 


3 
1 




61 


North Tonawanda, 
N.Y 


2 


4 
3 


29 


Norwich, Conn 


37 

75 


Norwood Ohio 








84 


Novato, Calif 








36 


Nutley, N.J- 








25 


Oak Lawn, 111 


2' 

2 
1 
3 


3 

1 
1 

__ 

1 

1 


2 

~2 

23 

1 
4 


118 


Oak Park, Mich 

Oak Ridge, Temi 

Oceanside, Calif 

Orange, N.J 


48 
9 

127 
140 


Orange, Tex _ __ 


21 


Orangetown, N.Y 

Oshkosh, Wis 


15 
66 


Ottumwa, Iowa 

Overland, Mo.-. _ _. 


1 

r 


1 

' 1 

2 


5^ 

1 


5 
3 

15 
6 

13 


63 

- 56 


Owensboro, Ky 

Pacifica, Calif 


95 
96 


Paducah, Ky 


3 




i 


59 



189 



Table 51. — Number of Offenses Known to the Police, 1965, Cities and Towns 
25,000 and Over in Population— Continued 





Index 
total 


Criminal 
homicide 


Forci- 
ble 
rape 


Rob- 
bery 


Aggra- 
vated 
assault 


Bur- 

tekT 

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. 

Pampa, Tex 

Panama City. Fla 


253 
516 
580 
453 
122 

191 

210 
249 
406 
481 

583 
847 
292 

160 

897 

429 
754 
178 
309 
343 

358 

672 
295 
584 
290 

176 
465 
361 
345 
450 

747 
842 
389 
507 
114 

579 
128 
368 
518 
348 

441 

529 
538 
261 
529 

723 
211 
347 
696 
441 


1 
4 
1 
1 


i 

1 
1 


1 
f 


9 
11 

8 

3 
6 
6 
13 

18 
49 
4 

2 
32 

11 
11 

1 
9 
4 

17 
24 

5 
16 

2 

1 
13 

1 
16 

2 

16 
31 
4 
9 
2 

11 
3 

13 
2 

2 

12 

2 
7 
1 

7 

9 
3 

1 
5 
6 


4 

56 
6 
5 
2 

8 

27 
15 

11 

40 

129 

27 

12 

64 

17 
75 
6 
8 
9 

3 
31 

28 
39 

1 
2 

17 
9 

27 

11 

8 

23 

1 

8 

12 
6 
._ 

15 

2 
48 
102 

1 
15 

25 
2 

9- 
- 


115 
262 
118 
286 
37 

91 

101 
103 

208 
248 

139 
420 
130 

89 
455 

258 
202 
107 
133 
197 

167 
267 
73 
307 
157 

55 
197 
132 
152 
202 

322 
241 
172 
251 
60 

272 
60 
139 
167 
176 

151 
236 

228 
69 
188 

290 
140 
133 

282 
236 


100 

151 

380 

98 

55 

58 

66 
40 
134 
119 

235 
131 

85 

43 
217 

91 
343 

42 
111 

67 

131 
231 
90 
147 
114 

66 
212 

164 
86 
191 

301 
150 
155 
169 
25 

171 
30 
133 
233 
101 

200 
154 
97 
151 
224 

347 
48 
139 
295 
39 


275 
391 
507 
317 
556 

183 

75 
237 
447 
242 

262 
641 
132 

262 
659 

798 
1,227 
140 
321 
730 

261 
556 
239 
535 
224 

946 
140 
197 
318 
147 

540 
188 
509 
384 
193 

921 
227 
382 

800 
398 

257 
538 
224 
350 
172 

498 

62 

1,016 

736 

174 


32 
34 

65 


Parkersburg, W. Va-. 
Park Forest, 111 


52 
27 


Park Ridge, 111 


1 

r 




25 


Parsippany-Troy 
Hills.N.J 


7 


2 
1 


11 




83 


Pekin, ill 


51 


Pennsauken. N.J 

Perth Amboy, N.J. __. 

Petersburg. Va 

Phenix City, Ala 

Piseataway Town- 
ship, N.J 

Plainfield, N.J 

Pleasant Hill, Calif.. __ 


1 
1 

4 

1 


1 

- 

2 
1 


1 

2 
11 

5" 

2 

1 

i 
2 

1 
2 
3 
1 
2 


88 

148 
103 
43 

14 
124 

50 


Pocatello, Idaho 

Ponca City, Okla 

Port Chester, N.Y..__ 
Port Huron, Mich 

Portsmouth, N.H 

Portsmouth, Ohio 

Pottstown, Pa 

Poughkeepsie, N.Y.. . 
Prairie Village, Kans.. 


2 

3' 

1 

1 
1 

2 




1 

i 

2" 
2 


120 

22 
44 
63 

38 
116 
96 
72 
15 


Provo, Utah 






53 


Quincy, 111 

Radnor Township, Pa. 

Rahway, N.J 

Ramapo, N.Y 

Redlands, Calif 


__-.__ 


3 

1 
5 


1 

4 

2 

6 
3- 


41 
44 
81 
23 

95 


Revere, Mass 


4 


1 
5 


409 


Richardson, Tex 

Richfield, Minn 


35 
74 


Richland, Wash 






19 


Richmond, Ind 

Ridgewood, N.J 

Ridley Township, Pa. 


5 


1 
1 


_- 


108 

28 
83 


Rochester, Minn 






4 

1 

2 
1 

7 


108 


Rock Hill, S.C 

Rockville Centre, 
N.Y. 


1 

2 
2 
5 


2 


52 
79 


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


86 
92 
39 


Roseville, Minn 


Ross Township, Pa. 






2 
4 


93 


Roswell, N. Mex. 

St. Charles, Mo 


5 
1 


2 


43 
17 


St. Cloud, Minn 

St. Louis Park, Minn 


4 


1 
4 


73 
101 


Salem, Mass 






160 



190 



Table 51. — Number of Offenses Known to the Police, 1965, Cities and Towns 
25,000 and Over in Population — Continued 



City 



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



Salina, Kans 

San Bruno, Calif 

Sandusky, Ohio 

San Gabriel, Calif.__. 
San Luis Obispo, Calif 



San Rafael, Calif_^. 
Santa Cruz, Calif... 
Santa Fe, N. Max.. 
Santa Maria, Calif- 
Santa Rosa, Calif... 



Sarasota, Fla... 
Sayreville, N.J_ 
Scottsdale, Ariz. 

Sedalia, Mo 

Selma, Ala 



Shaker Heights, Ohio. 
Shaler Township, Pa.. 

Shawnee, Okla 

Sheboygan. Wis 

Sherman, Tex 



South Euclid, Ohio... 

Southfield, Mich 

Southgate, Mich 

Southington Town, 

Conn 

South San Francisco, 

Calif 



Spartanburg, S.C 

Springfield Township, 
Pa 

State College, Pa 

Steubenville, Ohio 

Stillwater, Okla 



Stratford, Conn 

Sumter, S.C 

Superior, Wis 

Taunton, Mass 

Teaneck Township, 
N.J 



Tempe, Ariz 

Temple, Tex 

Texarkana, Tex... 
Texas City, Tex... 
Torrington, Conn. 

Trumbull, Conn_. 

Upland, Calif 

Upper Arlington, 
Ohio 

Urbana, 111 

Valdosta, Ga 



Vancouver, Wash . 

Ventura, Cahf 

Vicksburg, Miss.. 

Victoria, Tex 

Villa Park, 111 



Index 
total 



355 
473 
283 
423 
298 

752 
882 
853 
844 
551 



235 
,145 
303 
396 

349 
152 
380 
315 



120 
815 
402 

237 

525 

726 

264 
155 
470 
193 

667 
363 
421 
613 

334 

928 
647 
364 
451 
182 

242 
539 

175 
226 
379 

413 
049 
258 
435 
159 



Criminal 
homicide 



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



Man- 
slaugh- 
ter by 
negli- 
gence 



Forci- 
ble 
rape 



Rob- 
bery 



10 



Aggra- 
vated 
assault 



1 
102 
17 



Bur- 
glary— 
break- 
ing or 
enter- 
ing 



129 
244 
133 
194 
173 

235 
507 
353 
549 
184 

328 
114 
344 
103 
229 

147 

59 

154 

143 



79 

273 

96 

153 

218 

312 

104 
68 

181 
63 

287 
186 
228 
274 

196 

304 
295 
173 
166 



116 
265 



96 
111 



173 
473 



231 



Larceny- 
theft 



$50 
and 
over 



147 
102 

64 
125 

63 

363 
181 
293 
133 
214 

155 
67 
615 
142 
101 

79 
66 
146 
97 
37 

22 
367 
196 



175 
213 



67 
133 
101 

254 
107 



179 
118 
113 



81 
201 

74 

71 

145 

158 

377 

63 

82 
44 



Under 
$50 



591 
407 
479 
239 
79 



752 

649 

1,078 

1,193 

809 
162 
830 
393 

278 

556 
97 
215 
986 
231 

82 

1,002 

492 

116 

511 

685 

373 
137 

268 
229 

373 

326 
665 
450 

224 



545 
182 
514 
146 

306 
465 



247 
278 

420 
737 
133 
337 
170 



191 



Table 51.— iVwmbcr o/ Offenses Known to the Police, 1965, Cities and Towns 
25,000 and Over in Population— Continued 



City 



Index 
total 



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



Vineland, NJ 292 

Wakefield, Mass I 196 

Walla Walla, W^ash....l 387 

Wallins^ford, Conn I 371 

Watertown, M ass | 383 

Watertown, N.Y ^ 514 

Waukesha, Wis 215 

W^ausau, Wis 159 

Wa%nie Township, N.J. 527 

Webster Groves, Mo_ _ 220 



Weirton, W. Va 

Wellesley, Mass 

Westfield, Mass 

Westfield, N.J 

West Haven, Conn- 



West Mifflin, Pa 

West New York, N.J. 

W^est Orange, N.J 

Westport , C onn 

West Seneca, N.Y 



West Springfield, M ass. 

Wheaton, 111 

Whitehall, Ohio 

Wilkinsburg, Pa 

Williamsport, Pa 



Wilmette, 111 

Wihnington, N.C. 

Wilson, N.C 

Winona, Minn 

Woburn, Mass 



Woonsocket, R.I. . 
Wyandotte, Mich. 

Yakima, Wash 

Yuma, Ariz 

Zanesville, Ohio... 



Canal Zone.. 

Guam 

Puerto Rico- 



222 
311 
176 
564 

160 
425 
303 
560 
363 

337 
135 
345 
501 
443 

244 
1, 259 
477 
103 
263 

450 
455 
1,221 
897 
396 

619 

577 



Criminal 
homicide 



Murder 
and 
non- 
negli- 
gent 
man- 
slaugh 
ter 



2 
1 
2 
1 

2 

1 
180 



Man- 
slaugh- 
ter by 
negli- 
gence 



1 

11 
317 



Forci- 
ble 
rape 



Rob- 
bery 



Aggra- 
vated 
assault 



Incomplete 



19 

8 
1.184 



211 

156 

1 



7 

25 

10.827 





Larceny- 




theft 


Bur- 






glary— 






break- 






mgor 


$50 


Under 


enter- 


and 


$50 


ing 


over 




189 


15 


328 


96 


74 


262 


132 


181 


827 


171 


154 


201 


147 


121 


157 


353 


109 


399 


97 


77 


274 


70 


56 


612 


259 


208 


307 


132 


55 


279 


110 


92 


84 


125 


130 


251 


68 


60 


105 


213 


231 


365 


63 


43 


65 


264 


54 


193 


159 


68 


160 


230 


241 


373 


187 


111 


225 


100 


129 


216 


59 


57 


273 


149 


138 


393 


207 


74 


292 


223 


154 


607 


117 


81 


468 


562 


255 


815 


120 


103 


467 


37 


45 


77 


103 


98 


79 


142 


141 


153 


158 


115 


820 


569 


388 


1,999 


327 


331 


669 


200 


98 


421 


361 


198 


910 


272 


122 


413 


15, 264 


8, 649 


9.300 



192 



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