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

.Vb »n?>5?>.5a3 




IN THE UNITED STATES 




ISSUED BY 

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



UNIFORM CRIME REPORTS-1962 






FOR RELEASE 

FRIDAY, A.M., JULY 19, 1963 

PRINTED ANNUALLY 



UNIFORM 

CRIME 

REPORTS 

for the United States 



PRINTED ANNUALLY— 1962 



Advisory: Committee on Uniform Crime Records 
International Association of Chiefs of Police 
James M. Slavin, Chief of Police 
Denver, Colorado, Chairman 



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



\^^^ 



\9l^ 



Contents 

Page 

Preface v 

Crime factors vi-vii 

Summary 1-25 

Introduction 26-33 

The index of crime, 1962 34-78 

United States, 1962 (table 1) 35 

United States, 1961-62, by geographic di\ri$ions and states 

(table 2) 36-39 

States (table 3) 40-54 

Standard metropolitan statistical areas (table 4) 55-78 

General United States crime statistics, 1962 79-90 

Crime trends, 1961-62, by population groups (table 5) 80-81 

Crime rates, by population groups (table 6) 82-83 

City crime trends, 1962 versus average of 1957-61 (table 

7) 84 

Offenses known, cleared by arrest, by population groups 

(tables) 84-85 

Offenses known, cleared by arrest, by geographic divisions 

(table 9) 86 

Disposition of persons formally charged by the police 

(table 10) 87 

Offenses known, cleared; persons arrested, charged and 

disposed of (table 11) 87 

Monthly variations (table 12) 88 

Offense analysis, trends 1961-62 (table 13) 88 

Type and value of property stolen and recovered (table 

14) 89 

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

Weapons used in murder, area and population group 

(table 16) 89 

Murder victims — weapons used (table 17) 90 

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

Arrests 91-107 

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

City arrests by age groups (table 20) 94 

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

(table 21) 95 

City arrests, distribution by sex (table 22) 96 

ni 



Arrests — Continued Pag© 

City arrests by race (table 23) 97 

City arrest trends, 1961-62 (table 24) 98 

City arrest trends by sex, 1961-62 (table 25) 99 

Metropolitan county arrests by age group (table 26) 100 

Other rural county arrests by age group (table 27) 101 

Metropolitan and rural county arrests of persons under 

18, under 21, and under 25 (table 28) 102 

Metropolitan and rural county arrests, distribution by 

sex (table 29) 103 

Metropolitan and rural county arrests by race (table 30) _ 104 

Rural arrest trends, 1961-62 (table 31) 105 

Rural arrest trends by sex, 1961-62 (table 32) 106 

Police disposition of juvenile offenders taken into custody 

(table 33) 107 

Police employee data 1 08-1 32 

Full-time police employees, number and rate (table 34) . 109-110 

Civilian employees, percent of total (table 35) 110 

Police employees killed (table 36) 111 

Assaults on police officers (table 37) 111 

Full-time State police emplo^'ees and State police killed 

(table 38) ^_ _ 111 

Police employees in individual cities (tables 39 and 40) _ 112-132 
Offenses in individual areas 25,000 and over by population 

groups (table 41) 133-146 



IV 



Preface 

To the casual observer it may appear that law enforcement efforts 
to control crime are of little avail in the face of rising crime rates. 
Actually, the record shows police effectiveness remains high despite 
mounting crime workloads and heavier demands for a wide variety of 
increasingly complex police services. On the other hand, law enforce- 
ment machinery is impaired and policing is hampered as a result of the 
increasing restrictions being placed on enforcement operations. 

Of vital consideration is the fact that a community's crime rate is 
primarily the product of its inhabitants — the victims as well as the 
perpetrators of crime. Law enforcement through its records statisti- 
cally reports on local crime conditions as a part of its community 
responsibility. It should be kept in mind, however, that police efforts 
to control crime are limited to: prevention by exposing the nature of 
crime, principally the effect of contributing community factors; sup- 
pression through properly oriented and alert patrol activity; and de- 
terrence through successful investigation and apprehension of the 
offender. The effectiveness of each of these depends to some extent 
on the action of the courts and the success of the correctional process , 
but most of all on the degree to which the local citizenry support law 
enforcement. Positive action to reduce crime must begin with the 
individual citizen. 

Although many police departments are understaffed and others 
are quite small, it must be recognized that for any law enforcement 
agency basic records are essential to full productivity. Many police 
agencies are making valuable administrative and investigative use of 
their records. There are others which fail to maintain an adequate 
records system, resulting in a net loss in police performance and a loss 
not only to the community, but also to the law enforcement profession. 
Citizens must demand that public business, particularly poHce work, 
be done efficiently. It is even more essential that authorities respon- 
sible for such public operations assure that maximum results are 
obtained from available resources. The intelhgent use of law en- 
forcement records is a vital tool in meeting this objective. 



^-^ 



^4rro-NMA. 



John Edgar Hoover, Director. 

V 




VI 



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. 



VII 



Suinmary 



{This section is jor 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. If you wish 
assistance in the interpretation oj any information in this publication, 
please communicate with the Director, Federal Bureau oj Investiga- 
tion, U.S. Department oj Justice, Washington 25, D.C.) 

Crime Capsule 

In 1962, 2,048,370 serious crimes reported, a 6 percent rise over 
1961. 

Crime in past 5 years increased four times faster than population. 
Four serious crimes per minute recorded on the crime clock. 

* * * 

Auto thefts up 9 percent in 1962 with over 356,000 cars reported 
stolen. Average value $866 per car. 

Keys left in car or ignition unlocked in 42 percent of thefts. Over 
two-thirds of autos stolen at night. 

* * * 

Firearms used as fatal weapon in 54 percent of murders in 1962. 
Cutting instruments used in one of every four killings. 
Murder highest in December, lowest in January. 

* * * 

Stolen property in 1962 valued in excess of $650 million. Average 
value per robbery $223, burglary $192, and larceny $76. 

Loss from stolen property cut to 49 cents on a dollar by police 
recoveries. 

* 5fc * 

Arrests for all criminal acts up 1 percent over 1961. Female 
arrests increased at faster pace than male arrests. Arrests of young 
people under 18 up 9 percent over previous year. 

* * * 

Average number of police employees of 1.9 per 1,000 inhabitants 
same as 1961. 

Seventy-eight police killed in the line of duty, 48 killed as result of 
criminal action. 



Crime Index Totals 

During the calendar year 1962 there were an estimated 2,048,370 
crimes of murder, forcible rape, robbery, aggravated assault, burglary, 
larceny $50 and over and auto theft in the United States. These 
crimes are counted by law enforcement agencies as they become known 
to them and are utilized as the index to criminality in the United 
States. The 1962 total was 6 percent above the 1961 level, or 122,280 
more serious crimes than the previous year. 

Crimes against the person — murder and nonnegligent manslaughter, 
aggravated assault and forcible rape — make up 8 percent of the total 
offenses in the Crime Index and as a group increased 4 percent during 
1962. The property crimes of robbery, burglary, larceny $50 and 
over and auto theft rose 7 percent in volume and comprised 92 per- 
cent of the Crime Index offenses. 

General crime increases were recorded in all cities when grouped by 
population size ranging from 5 percent in cities from 100,000 to 250,000 
to 11 percent in cities with 500,000 to 1,000,000 inhabitants. The 
metropolitan counties surrounding large American cities recorded a 
crime experience similar to that of the cities with a 5 percent increase, 
whereas the rural counties reported an over-all 2 percent decrease. 
Geographically, the Crime Index trend ranged from a 9 percent increase 
in the Northeastern and Western states to 3 percent in the North 
Central states. 





Estimated number of 
offenses 


Change 1962 


Crime index classification 


1959-61 
average 


1962 


Over 3-year average 


Over 1961 




Number 


Percent 


Number 


Percent 


Total 


1,807,100 


2, 048, 370 


+241, 270 


+13 


+122,280 


+6 






Murder 


8,670 
15, 860 
87, 570 
129, 400 
789, 300 
464, 300 
312,000 


8,400 
16,310 
95. 260 
139, 600 
892, 800 
539, 900 
356, 100 


-270 

+450 

+7, 690 

+ 10,200 

+ 103,500 

+75. 600 

+44. 100 


-3 

+3 

+9 

+8 

+ 13 

+ 16 

+ 14 


-200 

+300 

+3. 600 

+6. 580 

+40. 300 

+41.800 

+29, 900 


-2 


Forcible rape 

Robbery 

Ae;gravated assault 


+2 
+4 
+5 


Burglary .. .. 


+5 


Larceny $50 and over 


+8 


Auto theft— -- - - 


+9 







The above table sets forth the 1962 estimated crime figures for 
the country as a whole. As indicated by the above table, the 1962 
nationwide crime trend was 13 percent above the average experience 
recorded during the 3-year period 1959-1961. With the exception of 
murder and nonnegligent manslaughter, all offenses show increases 
over the previous 3-year average, particularly the property crimes of 
larceny $50 and over, auto theft and burglary. These latter offenses, 
if only because of their sheer volume, are serious crime problems both 
for the local police and the comnmnity. 

2 



Crime and Population 



When our national population is related to the incidence of crime, 
a national crime rate of 1,102 serious offenses per 100,000 inhabitants 
is estabhshed. The crime rate in 1962 was 5 percent higher than that 
recorded in 1961. A crime rate merely takes into consideration the 
numerical factor of population and not the many other elements that 
contribute to the amount of crime that occurs from one place to 
another. As shown in statistical tables in subsequent sections of this 
publication, the crime experience in large cities is much greater due 
to many other complex factors and not simply numerical differences 
in population. 



Crime index classification 



Total- 



Murder 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny $50 and over- 
Auto theft 



Crimes per 100,000 inhabitants 



Rate 1962 



1, 102. 3 



4.5 

8.8 

51.3 

75.1 

480.4 

290.5 

191.6 



1962 percent change 



Over 1961 



+5 



+2 

+3 
+3 
+7 
+7 



Over 3-year 

average 



+10 
-6 



+5 
+4 
+9 
+ 13 
+10 



As shown above, the 1962 crime rate was 10 percent higher than 
the average rate for the period 1959 through 1961. The property 
crimes of burglary, larceny $50 and over and auto theft are contin- 
uing to outstrip population growth at a rapid pace. While the murder 
rate was decreasing and forcible rape remained at the same level, 
aggravated assault was 4 percent above the 1959-1961 average. 
Generally, the highest crime rates are being reported by those states 
experiencing the fastest growing population. 

The following charts graphically present the trend in serious crime 
from 1958 to 1962. The charts show the percent increase in the 
volume of crime, the trend in the crime rate and the actual increase 
in our national population. Separate charts are shown setting forth 
the 5-year experience for the crimes of violence and the property 
crimes. Arrest data beginning on page 91 provides information on 
other types of crimes as well as the seven offenses mentioned above. 

Crime Calendar 

The frequency patterns of crime can within general limits be pre- 
dicted on an annual basis. Monthly and seasonal variations for 
selected crimes (chart 4) varied little in 1962 from the average fre- 
quency experience for the prior 5 years. 

Crimes against the person, consisting of aggravated assault, forcible 
rape, murder and nonnegligent manslaughter, are usually most 



CRIME AND POPULATION 

1958-1962 

PERCENT CHANGE OVER 1958 



+30 



+20 



+ 10 



/ 
/ 
/ 

/ 

/ 
/ 
/ 

/ 
/ 

4^^ 

f / 

^ / 

i-l 

s I 

i 

I 

//. 



\ 



Crime 
up 27% 



A 



Crime Rate 
up 19% 



A 



Population 
up 7% 



1958 1959 



I960 



1961 1962 



CRIME = INDEX OF CRIME OFFENSES 

CRIME RATE = NUMBER OF OFFENSES PER 100,000 POPULATION 



FBI CHART 



Chart 1 



CRIMES OF VIOLENCE 

1958-1962 
PERCENT CHANGE OVER 1958 



+ 30 



20 



+ 10 



/ / 4* — 

^ X T 



\ 



VIOLENT 
CRIME 

UP 16% 



RATE 

UP 8% 



1958 1959 1960 1961 1962 

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



FBI CHART 



Chart 2 



CRIMES AGAINST PROPERTY 

1958-1962 
PERCENT CHANGE OVER 1958 



+ 30 



+ 20 



+ 10 



i-J- 

7/ 

// 



^ 



PROPERTY 
CRIME 

UP 29% 



<| RATE 

UP 21% 



1958 1959 1960 1961 1962 

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



Chart 3 



FBI CHART 

5 



prevalent during the summer months and 1962 was not an exception 
to this. In 1961 murder for the first time in 6 years reached a peak 
in July and not December; however, murder on a monthly basis in 
1962 restored the pattern peak to December. Manslaughter, con- 
sisting mainly of traffic deaths, continued to follow the 5-year average 
for such offenses, except for marked upswings in April and July, 1962. 

Robbery and burglary were below the 5-year average for the first 
5 months of 1962, but the trend reversed and both offenses reached 
peaks in December. Larceny-theft is the least influenced by seasonal 
trends. As was true last year, a high point in occurrence was reached 
in August. Thefts from automobiles, bicycle thefts and shoplifting 
contributed heavily to the high volume of larceny in August. 

Auto theft in American cities reached its highest level in November, 
1962, which is consistent with the 5-year experience. While the same 
pattern holds true in metropolitan areas surrounding large cities, 
auto theft in the rural areas began to increase in June and reached a 
peak during the summer months. 

Chart 4 discloses the seasonal picture of crime for United States 
cities of all sizes. In 1962 the rural areas followed the same general 
seasonal crime pattern. Some exceptions were noted, however, as 
rural counties reported the peak in auto thefts was reached in Sep- 
tember while the city total was highest in November. Rural counties 
reported that August was the high month for aggravated assault and 
the cities June. Manslaughter in the rural areas had its greatest 
frequency in the months of June, July and August with a similar up- 
swing in November, while in cities November and December were high. 

The highest daily volume of all offenses as a total occurred in August 
in both rural counties and cities. January was the low month for 
both rural areas and cities. 

Crime Analyzed 

During the past year detailed data on murder and nonnegligent 
manslaughter was collected from law enforcement agencies with re- 
spect to age, sex and race of the victim, the weapon used as well as 
the circumstances or motive surrounding each offense. Some of the 
results of this study appear in tables beginning on page 89. Briefly, 
murder and nonnegligent manslaughter as defined in this Program is 
the willful killing of one human being by another without due process 
of law. Certain justifiable homicides are excluded from the count. 
During 1962 there were an estimated 8,400 murders in the United 
States, a decrease of 2 percent from 1961. 

Although for the most part murder occurs beyond the reach of 
police patrols, the police are successful in clearing this crime by the 
arrest and charge of the oft'ender. In 1962 the police nationally 
cleared up 93 percent of these willful killings. On the other hand, 

6 



cases disposed of by the courts in 1962 indicate that about half 
resulted in either a reduction of the charge, acquittal, or dismissal. 
The motives or circumstances involved in these willful killings are not 
always available to the police. However, the following breakdowns 
on 7,258 murders in 1962 are set forth for a better understanding of 
the nature of this crime. Twenty-nine percent of the above total 
involved family situations. Forty-four percent were altercations 
outside the family. Thirteen percent were felony murders; that is, 
the victim was killed by a felon during the commission of another 
crime such as robbery, burglary, sex offense, etc., and 14 percent 
were situations in which the victim was found murdered, reason 
unknown or it was not stated. Of the family situations, 54 percent 
involved spouse killing spouse, 15 percent parent killing child, 6 
percent child killing parent and the remainder involved other family 
relationships. The vast majority of altercations outside the family 
which resulted in killings revealed little motivation or appeared to 
be acts of emotional or insane rage. Nineteen percent of the murders 
outside of the family were identified as lovers' quarrels. Six percent 
were quarrels over money or property, 15 percent involved drinking 
situations and 3 percent revenge. Suicide followed murder in 241 
instances. 

On a nationwide basis, 54 percent of the willful killings resulted 
from use of a gun, and this percentage varies by size of the community 
and by geographic region as shown on chart 5. Other weapons used 
were cutting or stabbing instruments, 24 percent; personal weapons, 
strangulation and beatings, 9 percent; and blunt objects, 7 percent. 
Percentagewise, most victims were in their 30's, while arrests for mur- 
der were highest in the twenties. In 1962, 72 percent of the victims 
were male and 81 percent of the persons arrested for this offense 
were male. Over half the victims of these willful killings and over 
half the arrests for murder were persons of the Negro race. Additional 
information is available in statistical tables in subsequent sections 
of this publication. 

In November, 1962, a 1-month nationwide survey was conducted 
on auto theft. Completed questionnaires were received from 2,263 
cities with over 2,500 population and metropolitan county agencies. 
Final tabulations included 1,603 departments reporting at least 1 
auto theft and a total population of 89,500,000. There were 23,197 
auto thefts reported during the month, and 87 percent of the vehicles 
stolen were recovered during the month. 

Nationally, law enforcement agencies on an annual basis recover 
shghtly more than 90 percent of all autos stolen. In 1962 an esti- 
mated 356,100 cars were stolen with a property value of about $308 
million. The average value of automobiles stolen during 1962 was 



CRIMES 



KEY: - 1957-1961 MOVING AVERAGE 

AGAINST THE PERSON 



+30 




-20% 



-30% 



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



NEGLIGENT 
NAHSLAUGHTER 




-30% 



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



-1-30% 




-20% 



-30% 



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



-1-30% 

-h20% 

+ 10% 
ANNUAL 



-20% 



-30% 



AGGRAVATED 
ASSAULT 




Chart 4 



BY MONTH 

. VARIATIONS FROM 1962 ANNUAL AVERAGE 

AGAINST PROPERTY 



+30% 



+20% ^m-.*^ 




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



+30% 



+20% 




-30% 



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



+30% 



+20% 




-30% 



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



-30% 




-30% 



FBI CHART 



Chart 4 



G,8S788°— 63 2 




10 



AUTO THEFT BY LOCATION 




OF THEFT 




DWELLING (GARAGE. DRIVEWAY, OR APARTMENT 
OFF-STREET PARKING AREA) 


14% 












FROM A PUBLIC STREET IN A RESIDENTIAL AREA 


39% 












FROM A PUBLIC STREET IN A COMMERCIAL OR 
BUSINESS AREA 


21% 












FROM A SHOPPING CENTER OR OTHER FREE 
PARKING AREA 


15% 












FROM A PUBLIC GARAGE OR PARKING LOT 
(WHERE FEE PAID) 


6% 










OTHER (USED CAR LOT, ETC.) 


5% 



















Chart 6 



FBI CHART 



In 1962 auto thefts represented 17 percent of the total Crime 
Index offenses. 

The survey showed that the incidence of theft was highest in 
residential areas. Over half of the motor vehicles stolen were taken 
from private residences, apartments, or streets in residential areas, 
and 21 percent were taken from streets in business or commercial 
areas. Fifteen percent were stolen from free parking areas such as 
shopping centers, and the remaining 11 percent were taken from used 
car lots, public garages and parking lots where a fee is charged 
(chart 6). 

Over two-thirds of all the thefts occurred at night and 42 percent 
of the motor vehicles which were stolen had the key in the car or the 
ignition was unlocked. The incidence of daylight theft exceeded 40 
percent in free parking areas, public garages and parking lots where 
fees are charged. Forty-seven percent of the motor vehicles taken 
from free parking areas and 55 percent of those taken from public 
garages or parking lots where a fee is charged had the key in the car 
or the ignition was unlocked. Fifty percent of the cars stolen from 
private residences or apartments were in the same condition (charts 
7 and 8). 

About 80 percent of the automobiles were stolen for transportation 
only or the purpose of the theft was unknown. Eight percent were 
taken for the purpose of stripping for parts. Five percent were used 
in another crime or escape and less than 1 percent was known to have 
been for the purpose of resale. The percentage breakdown for all 
types of auto theft is incomplete and in particular the resale thefts, 

11 



AUTO THEFT 
BY LOCATION AND TIME 


OF THEFT 




FROM A PRIVATE RESIDENCE OR APARTMErTT 
DWELLING (GARAGE. DRIVEWAY, OR APARTMENT 




7i 


b% 
















FROM A PUBLIC STREET IN A RESIDENTIAL AREA 


74% 












1 


FROM A PUBLIC STREET IN A COMMERCIAL OR 
BUSINESS AREA 




63 


% 


















FROM A SHOPPING CENTER OR OTHER FREE 
PARKING AREA 


^7^ 






0/M 








i 


FROM A PUBLIC GARAGE OR PARKING LOT 
(WHERE FEE PAID) 


561 




i 










OTHER (USED CAR LOT. ETC.) 


66% 














TOTAL 




68% 


1 




NIGHT ■ ; 


DAY 







FBI CHART 



Chart 7 



because 13 percent of all cars stolen during the month were not re- 
covered during the surve3^ It should be noted that law enforcement 
cannot always distinguish between the so-called ''joy-ride" offense and 
theft for profit or other purpose solely on the recovery of a stolen car. 

Of the automobiles recovered during the sm-ve}^, the local law en- 
forcement agency in whose jurisdiction the cars were stolen recovered 
80 percent, and 64 percent of these were within 48 hours. Twenty 
percent were recovered by other departments outside the jurisdiction 
where the original theft occurred. In some of the large metropolitan 
areas, over 50 percent of the stolen vehicles were recovered in another 
jurisdiction indicating the mobility factor involved in auto theft. 

Sixty-four percent of the auto thefts were cleared by the arrest of 
young persons under the age of 18, and 36 percent were cleared by 
adult arrests. In the 2,972 clearances which involved juvenile offend- 
ers, 46 percent resulted from ''on view" arrests. The remaining 54 
percent were cleared by investigation arrests. Adult clearances 
totaled 1,684. Fifty-three percent of these were cleared by ''on view" 
arrests and 47 percent were cleared after investigation. In those cases 
involving persons under 18, the juvenile was alone in nearly one-third 
of the thefts. In 58 percent of the violations two or more juveniles 



12 



LOCATION AND CONDITION OF CARS 
AT TIME OF THEFT 



FROM A PRIVATE RESIDENCE OR APARTMENT 
DWELLING (GARAGE, DRIVEWAY, OR APARTMENT 
OFF-STREET PARKING AREA) 



FROM A PUBLIC STREET IN A RESIDENTIAL AREA 



FROM A PUBLIC STREET IN A COMMERCIAL OR 
BUSINESS AREA 



FROM A SHOPPING CENTER OR OTHER FREE 
PARKING AREA 



FROM A PUBLIC GARAGE OR PARKING LOT 
(WHERE FEE PAID) 



OTHER (USED CAR LOT. ETC J 



50% 





34% 



42% 





47% 





55% 



46% 



TOTAL 



42% 



KEY IN CAR OR 
IGNITION UNLOCKED 



NO KEY IN CAR AND 
IGNITION LOCKED 



D 



FBI CHART 



Chart 8 



were involved, and in 10 percent of the offenses the juvenile was with 
an adult. 

Fifty-nine percent of the juveniles arrested in November had 
prior police arrests, and 41 percent of these had a prior arrest for auto 
theft. Forty-one percent of the young offenders arrested had no 
known prior police arrest record. 1962 arrest data indicates that 
87 percent of all arrests for auto thefts were persons under 25 years of 
age, and 62 percent were under 18. 

The survey disclosed the public has a definite responsibihty in 
reducing the opportunity for theft by removing the key from the car 
and locking the ignition. A positive attitude change in this connection 
can materially reduce transportation-type thefts by young offenders. 
Key ordinances have been adopted in many areas for the purpose of 
penalizing the driver for leaving keys in the car while it is unattended. 
The effectiveness of these ordinances requires a pubhc awareness 
that the law exists and enforcement by the issuance of citations. 
Communities which have such ordinances had a lower auto theft rate 
when the ordinance was enforced. During the survey, 1,391 cities 
with populations of under 100,000 had an over- all monthly rate of 20 



13 



CRIME CLOCKS 



1962 





SERIOUS CRIMES 

4 EACH MINUTE 



MURDER, FORCIBLE RAPE 
OR ASSAULT TO KILL 

ONE EVERY 3 MINUTES 




MURDER 

ONE EVERY HOUR 





FORCIBLE RAPE 

ONE EVERY 32 MINUTES 



AGGRAVATED ASSAULT 

ONE EVERY 4 MINUTES 




ROBBERY 

ONE EVERY 6 MINUTES 






BURGLARY 

ONE EVERY 35 SECONDS 



LARCENY 
($50 and over) 
1 EACH MINUTE 



AUTO THEFT 

ONE EVERY 1 Vs MINUTES 



FBI CHART 



Chart 9 



auto thefts for each 100,000 inhabitants. The rate for cities having 
a key ordinance was 18, and the cities without such an ordinance had 
a theft rate of 21. In the cities where the ordinance was enforced 
by the issuance of citations the rate was 15, and where citations were 
not issued during the month the rate was 19. 

Prevention is the best hope of reducing the number of auto thefts, 
particularly when we recognize the number of young people involved 
in the transportation-type thefts. Many of the auto thefts by young 
people are impulsive acts, dangerous to them as a beginning of a life 
of crime and frequently dangerous to the police and the law-abiding 
citizen. 

A comprehensive article on auto theft based on the November, 1962, 
survey has been published in the July, 1963 issue of the FBI Law 
Enforcement Bulletin. 



14 



All larceny-theft increased 8 percent in 1962. The ratio of larceny 
under $50 in value to larceny $50 and over is about 3 to 1. It should 
be noted that many of the thefts, particularly those of small value, 
are not reported to the police. 

Larceny by type as reported by city police is shown in table 13. 
Shoplifting increased 17 percent in 1962, followed by bicycle theft, 
11 percent; thefts from autos, 10 percent; and purse-snatching, 8 per- 
cent. Larceny of auto accessories declined 7 percent from 1961 while 
pocket-picking, a low volume offense, increased 1 percent. 

Burglaries make up 44 percent of the total offenses in the Crime 
Index and in 1962 there were an estimated 892,800 burglaries which 
was an increase of 5 percent over 1961. The total dollar loss for 
burglaries was $171 million, which does not include the damage to or 
destruction of property which often results from this offense. Seventy- 
seven percent of the burglaries occurred at night. Nonresidence 
burglaries which include stores, offices, public buildings, warehouses 
and other business places accounted for 57 percent of this activity, 
and 92 percent of these occurred at night. 

On the whole, forcible entry was used in about 70 percent of all 
burglaries, and in at least 21 percent of the cases some open means of 
entry existed. 

Robbery rates indicate it is primarily a big city offense because of 
the frequency with which it occurs in these areas. There were an 
estimated 95,260 robberies in 1962 which was a 4 percent increase 
when compared with 1961. The cities with over 250,000 population 
had a robbery rate of 158 for each 100,000 inhabitants which was more 
tlian 6 times the rate for the metropolitan counties surrounding large 
cities and 15 times greater than in rural areas. Cities over 1 million 
population had a robbery rate over 4 times greater than all other 
cities combined, 9 times that of metropolitan counties and almost 20 
times the incidence rate in rural areas. 

Street robberies which made up about 50 percent of all robberies 
increased 6 percent in cities, while residence robberies which made up 
8 percent of the total increased 13 percent. Bank robberies which 
were less than 1 percent of the over-all city robbery picture increased 
26 percent. 

Crime and Police Effectiveness 

The Crime Index indicates the scope of the problems facing police 
through offenses known data. One of the measurements of pohce ef- 
fectiveness in meeting these problems is the number of crimes cleared 
by arrests of offenders. The prosecutive action which may or may 
not follow is not the direct responsibility of the police. During 
1962, city police cleared up approximately one of every four 

15 



CRIMES CLEARED BY ARREST 

1962 



AGAINST THE PERSON 



CLEARED 



93 



MURDER 



817. 



NEGLIGENT 
MANSLAUGHTER 



CC 0] FORCIBLE 

DO/o RAPE 



IP^m AGGRAVATED 
^^10 ASSAULT 



NOT CLEARED 



AGAINST PROPERTY 



CLEARED 



287. 



25% 



NOT CLEARED 



ROBBSRY 



BURGLARY 



LARCENY 



AUTO THEFT 



FBI CHART 



Chart 10 



16 



crimes of murder, manslaughter, forcible rape, robbery, aggravated 
assault, burglary, larceny and auto theft. 

Clearances dropped off slightly in 1962 to 25.7 percent compared 
with 26.7 percent in 1961, but the percentage of cases cleared involving 
offenses against the person continued at a high level. Due to sheer 
volume, the relatively minor nature of some of the offenses and the lack 
of witnesses, clearances in crimes against property were considerably 
lower (chart 10). Tables 8 and 9 disclose the decline in clearances 
was distributed uniformly throughout all geographic divisions with 
the exception of the Pacific states, which registered a 4.6 percent in- 
crease. When reviewed by population group, slight decreases in 
clearances were noted for all groups except cities with fewer than 
25,000 inhabitants and metropolitan counties. A greater awareness on 
the part of citizens of their obligation to support the police effort 
would inevitably produce a rise in the clearance rate. In order to 
function effectively, police must depend to a large extent on a coopera- 
tive citizenry to supply vital information. 

Persons Arrested 

In this Program, arrests are collected from law enforcement agencies 
on the basis of age, sex, race, and specific charge excluding traffic 
offenses. Arrests are primarily a measure of police activity and 
although widely influenced by local practice, policy and law, they 
do furnish general information on the characteristics of offenders. 

During 1962, total arrests for all ages and all criminal acts re- 
mained at about the 1961 level. There were 36 arrests for each 
1,000 Americans. Arrest activity, however, in cities over 100,000 
population was 41 percent above the national arrest rate. The 
ratio of male to female arrests is about 8 to 1, but female arrests 
continue to increase at a faster pace. 

Chart 11 discloses an estimated arrest rate by age group for all 
criminal acts. It is based on arrest data submitted by police agencies 
representing 67 percent of our national population. Population by 
age group, 1962 estimate, was obtained from the Bureau of the 
Census. Chart 11 indicates the involvement of certain age groups 
in the wide range of arrests including drunkenness, vagrancy, simple 
assault, as well as the more serious criminal acts. While this chart 
shows a general slowing down in criminal activity as the groups 
progress in age, chart 12 indicates the extent to which young age 
groups heavily influenced arrests for the crimes of murder, forcible 
rape, robbery, aggravated assault, burglary, larceny and auto theft. 
At the same time the charts demonstrate that a relatively small 
percentage of our young people or, for that matter, all age groups 
become involved in criminal activity as known through police arrests. 
The 20-24 year age group ranks highest for arrests for all criminal 

17 



TOTAL ARRESTS BY AGE GROUP 

(RATE PER 1,000) 

1962 



AGE 
10-14 

15-19 
20-24 
25-29 
30-34 
35-39 
40-44 
45-49 



21 



64 
67 



56 



53 
52 



49 



43 



50 



AND 
OVER 



35 



INCLUDES ARRESTS FOR ALL OFFENSES EXCEPT TRAFFIC 



FBI CHART 



Chart 11 



acts with a rate of 67 arrests for each 1,000 of that age; however, the 
15-19 year old age group nearly doubled the rate of the older age 
group for the selective crimes. (Chart 12). 

Arrests for young persons under 18 years of age have increased more 
than three times as fast as their population growth in the last 6 years. 
For the country as a whole in 1962, persons under 18 3^ears of age 
comprised 62 percent of the arrests for auto theft, 51 for larceny, 49 
for burglary, 25 for robber}^, 19 for forcible rape, 13 for aggravated 
assault and 8 for murder and nonneghgent manslaughter. For the 
above crimes as a group, juveniles were represented in 45 percent of 
the total arrests. 

During the calendar year 1962, arrests of persons under 18 3^ears of 
age rose 9 percent over 1961. For all cnminal acts they made up 18 
percent of the arrests in metropolitan or suburban counties, 16 percent 
of the arrests in American cities and 13 percent in the rural areas. 
The upward trend in arrests for young people continued in both 
property offenses as well as crimes against the person. Again, arrests 



18 



ARRESTS FOR SELECTIVE OFFENSES BY AGE GROUP 






(RATE PER 1,000) 








1962 




AGE 




~ 10 


n 01 


10-14 [ 

11^ 10 




20-24 1 









25-29 


30-34 [^ 




5 




35-39 r 


::1 4 


40-44 


II 3 






45-49 iiiii 


2 






50 AND r~] 1 
*'^overL_1 ' 








INCLUDES MURDER, FORCIBLE RAPE, 


ROBBERY, AGGRAVATED ASSAULT, BURGLARY, ALL LARCENY 


AND AUTO THEFT 



FBI CHART 
Chart 12 

of young girls, particularly for crimes against property, reveal sharper 
increases than those recorded by young males. Further details on 
arrest data are shown in statistical tables beginning on page 91. 

Persons Charged 

Not all persons arrested by police are later formally charged; i.e., 
turned over to the courts for prosecution. There are a number of 
reasons for this; namely, the victim refuses to cooperate in the prosecu- 
tion, police determine the person arrested did not commit the alleged 
offense, police release arrested person with a warning, police are unable 
to establish sufficient evidence for a formal charge, etc. Tabulations 
beginning on page 87 indicate court dispositions of persons formally 
charged by police, as well as the percentage of young persons (local age 
limit) referred to juvenile court jurisdiction for specific criminal acts. 
It should be kept in mind in using these statistics that police handling 
of juvenile offenders differs widely. 

Remembering the many variables in local law and prosecutive 
policy, the following discussion is based on tables 10 and 33, which 
reflect a summary of the general nationwide experience. Although 

19 



the police clear up, by arrest and charge of the offender, a greater 
percentage of crimes against the person than the property crimes 
which occur in far greater volume, the prosecutive pattern differs. 
Murder, aggravated assault and forcible rape are less likely to result in 
a formal charge after arrest and show a greater percentage of reduc- 
tion in charges as well as acquittals and dismissals than the property 
crimes of burglary, robbery, larceny and auto theft. Table 10 shows, 
for instance, that persons were found guilty of a lesser offense and 
acquitted or dismissed in 52 percent of the willful Idllings, in 55 percent 
of the forcible rapes and in 62 percent of the aggravated assaults. 
Some reasons for this are pleas of self-defense in murder and nonnegli- 
gent manslaughter, and refusal of the victim to cooperate in prosecu- 
tion in cases of forcible rape and aggravated assault. 

During 1962, convictions were obtained in 71 percent of the cases 
involving gambling charges, 69 percent in narcotics violations and 
91 percent of the driving while intoxicated cases. On the other hand, 
persons convicted of a lesser charge, acquitted or dismissed, ran high 
in forgery and counterfeiting with 36 percent. Other assault cases 
parallel the experience of the more serious crime of aggravated assault 
by showing acquittals or dismissals in 35 percent of the cases, the 
major factor again being a lack of prosecutive witnesses. Offenders 
were found guilty as charged 76 percent of the time on prostitution 
and commercialized vice, but in only 57 percent of the other sex 
offenses, including statutory rape. 

As indicated by police arrests, referrals of young persons to ju- 
venile court by police are primarily for the propert}^ crimes of auto 
theft, burglary, larceny, robbery and possession of stolen property. 
On the other hand, police handled 47 percent of the juvenile arrests 
without referral to juvenile court (table 33). These are mostly for the 
less serious offenses which police agencies take up with parents either 
orally or by written citation and the juvenile is released with a warn- 
ing. The number of juveniles handled in this manner varies with 
the size of the community as well as geographically. On a national 
basis, 47 percent of the juveniles taken into custody by the police are 
referred to the juvenile court. 

Police Employee Data 

Tables presented later in this publication show the average police 
strength in cities by geographic division and population group. These 
averages must not be construed as recommended or desirable police 
strength since many factors will affect police effectiveness from place 
to place with the number of police employees being onty one of these. 
Rate ranges are likewise provided for further comparative purposes. 
Tables relating to police killed in the line of duty, ratios of civilian 

20 



POLICE KILLED BY FELONS 

BY TYPE OF POLICE ACTIVITY 
1960-1962 



RESPONDING TO "DISTURBANCE" CALLS 
(Family quarrels, nan with {un, etc.) 


29 












12% 




BURGLARIES IN PROGRESS, OR 
PURSUING BURGLARY SUSPECTS 




14 












ROBBERIES IN PROGRESS. OR 
PURSUING ROBBERY SUSPECTS 




25 




22% 














ATTEMPTING OTHER ARRESTS 
ANO TRANSPORTING PRISONERS 




28 






2 



26% 



INVESTIGATING SUSPICIOUS 
PERSONS ANO CIRCUMSTANCES 



12 11% 



BERSERK OR DERANGED 
PERSONS (No Wamine 
unpronkeil attack) 5 



4% 



113 POLICE KILLED 

INCLUDES CITY, COUNTY, AND STATE POLICE 



FBI CHART 



Chart 13 



employees to total police department employees and police assaulted 
rates are also presented herein. 

Data collected in 1962 disclosed the nmnber of police employees 
per 1,000 population remained at 1.9, the same national average rate 
as 1961. During the past 5 years, this ratio of police to population 
has remained virtually unchanged and thus has barely kept pace with 
population growth. On the other hand, the number of serious 
crimes known to police has increased four times faster than the 
growth in population. The police, then, have been handling this 
increased workload without a corresponding increase in personnel. 
The rather extreme variances in police employee rates among cities 
in the same population group suggest the need for constant evaluation 
of local police requirements. 

Calendar year 1962 again witnessed a high toll in police lives lost 
in the line of duty. During this year, local, county and state police 
reported the deaths of 78 law enforcement officers under these cir- 
cumstances. The total of 78 deaths for 1962 resulted from 48 inci- 
dents wherein men were murdered by criminal action, while 30 officers 
lost their lives in traffic accidents. Statistics for the three years, 
1960 through 1962, disclose a total of 113 law enforcement officers 



21 



POLICE KILLED BY FELONS 
BY HOUR OF DAY 
1960-1962 



13 



1010 10 
9 



4 4 4 



1 1 



10 



11 







2 






2 






1 




1 1 




1 1 1 




_ 


1 1 



12 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12 
NOON MIDNIGHT NOON 



PM 



AM 



FBI CHART 



Chart 14 



killed by felons during this period. Chart 13 portrays the types 
of police activity in which these officers were engaged at the time 
of the fatal incidents. It will be noted that answering disturb- 
ance calls continues to be one of the most dangerous assignments. 
Twenty-six percent of the deceased officers were responding to 
such complaints when killed. Attempting to make arrests and trans- 
porting prisoners accounted for another 25 percent of the fatalities. 

This year charts are presented to show police killings by time of 
day and day of week of the occurrence. Charts 14 and 15 pinpoint 
the periods of highest incidence and exposure. 

An analysis of the types of weapons used to kill the 113 law enforce- 
ment officers over the 3-year period reveals that 109 officers were 
shot to death. In 86 of these incidents a revolver or automatic pistol 
was used. Shotguns and rifles were the instruments of death on 23 
occasions. Knives were used as murder weapons in two of the cases. 

In total, 142 individuals were involved in the nmrders of police 
officers during tlie years 1960-1962. A review of the criminal histories 
of these persons disclosed 80 percent had records of prior arrests, and 
75 percent had been convicted on one or more occasions. Leniency in 
the form of probation or parole had been previously granted to 56 



22 



POLICE KILLED BY FELONS 

BY DAY OF WEEK 

]960-1962 



26 



15 



15 



14 



11 



10 



22 



SUN. MON. TUES. WED. THiJRS. 



FRI. 



SAT. 



FBI CHART 



Chart 15 



percent of the offenders, and 37 percent were on parole or probation 
at the tune they murdered a hiw enforcement officer. 

A total of 118 individuals were arrested in connection with the 
killing of the 113 police officers. In addition to those arrested, 19 of 
the attackers were killed by police while resisting arrest at the tmie of, or 
shortly after the attack, and 5 committed suicide after firing the fatal shot. 
Although not fully reported at this time, available disposition data discloses 
that 21 of the offenders received the death penalty, 41 were sentenced 
to life imprisonment and 24 received prison terms ranging from 5 to 
125 years. Further, one criminal received a sentence of 10 years 
probation, 3 were found not guilty by juries, and a grand jury failed 
to return an indictment in one case. Four defendants were committed 
to mental hospitals and one defendant died of natural causes prior 
to trial. 

Table 37 shows an analysis of pohce assaulted by geographic 
division and population group. In 1962, about 1 of every 10 police 
officers was the victim of an assault during the course of duty. The 
high incidence areas for assaults continued to be in the South Atlantic 
division and in the large cities with over 250,000 population. Cities 
in the New England division and cities with populations of 10,000 to 
25,000 experienced the lowest rates of assaults on police. 

23 



POLICE EMPLOYEE DATA 

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

BY POPULATION GROUPS, DECEMBER 31, 1962 



9.4 



4.8 



4.4 








4.1 




AV. 
..Ui, 

.1 




A¥. 
J 




3.6 




2.7 






,A.V. 
.2 




A¥. 

1.7 

y 















AV. 
1.4 



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 16 



24 




ICaut iEnfnrrfntf nt (^oht of iEtl^tra 

Ah a ffiam lEnforrprnput (§itutr, «.y funJameniJ Jui^ u u 

serve mannind^ to Aafeauard ilvei and properlu; to protect tite innocent aaaindt 
deception^ the wean aaainst oppreision or intimidation, ana. the peaceful 
aaainit violence or aiiorJer; ana to reApect the L^ondtitutional riahtd of all 
men to tibertuy etj^uatit^ and judtice. 



lain coura- 



ji tUtii keep mu private liPe unAuilied aA an example to ail; maintair 
aeouA calm in tne face of danaer, Acorn, or ridicule; develop Aeip-reAtraint; and 
oe conAtantiu mindj-ul oj- tne welfare oj^ other A. ^J4oneAl in thought and deed 
in both mu perAonal and off-icial life, ^ will oe exempiari^ in ohe^in^ the lawA 
of the land and the reauiationA of mu department. vUhatever ^ Aee or hear of 
a confidential nature or that iA confided to me in tnu of-f-icial capaciti^ will oe 
kept ever Aecret unleAA revelation iA neceAAaru in the performance of- m^ dut^. 

11 Ultii never act officiouAi^ or permit personal feelin^A, prejudices, animoA- 
itleA or friendAhipA to influence mu deciAionA. vUith no compromiAe for crime 
and with relentle^A proAecution of criminaiA, ^ will enforce the law courteouAl^ 
and appropriately without fear or favor, malice or ill will, never employing. 
unneceAAaru force or violence and never accepting ^ratuitieA. 

11 r^rO0tttEJ^ the bad^e of m^ office aA a A^mboi of public faith, ana 
J7 accept it aA a public trust to be held Ao lon^ aA ^ am true to the ethicA of 
the police Service. .3 will constantlu strive to achieve theAe objectives and idealAy 
dedlcatlna muAeif before \-jod to mu choAen profession . . . law enforcement. 



25 



688788°— 6,3 3 



Introduction 

Background 

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

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

A special meeting of the Committee on Uniform Crime Records, 
called at the suggestion of the FBI, was held in Washington, D.C., 
in April, 1963, at w^hich time substantial revisions were made in the 
Program. Primarily these grew out of Uniform Crime Reporting special 
surveys in the last few years, but the Committee also considered a 
wide range of suggestions from many sources. These changes will 
not alter the basic data being collected, but are designed to better 
categorize certain offense classifications. The objectives are to 
obtain increased uniformity in crime reporting and to provide addi- 
tional useful information for police executives as well as others 
utilizing Uniform Crime Reports. These changes will be placed in 
effect commencing in January, 1964. 

The resolution adopted at the International Association of Chiefs of 
Police Convention in October, 1961, which called for the formation 
of Uniform Crime Reporting C^onunittees within state law enforce- 
ment associations, has resulted in the establishment of 63 committees 
in 47 states. These committees are active in promoting greater 

26 



interest in Uniform Crime Reporting, in fostering more widespread 
use of uniform crime statistics, in encouraging new contributors, 
and in lending assistance to current contributors when the need 
arises. 

Objectives 

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

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

Reporting Procedure 

Under this national voluntary system each contributing law en- 
forcement 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. 

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

On a monthly basis, city police, sheriffs and state police report 
the number of offenses that become known to them in the following 
crime categories: criminal homicide, forcible rape, robbery, aggravated 
assault, burglary, larceny and auto theft. This count is taken from 
a record of all complaints of crimes received by the police from victims 
or other sources or discovered by the police in their own operations. 
Complaints determined by police investigation to be unfounded are 

27 



eliminated from this count. The number of ''offenses known" in these 
crime categories is reported to the FBI without regard to whether 
anyone is arrested, stolen property is recovered, local prosecutive 
policy, or any other consideration. Police agencies report on a monthly 
basis the number of these crimes which they clear by arrest and 
certain other analytical data pertaining to specific crime categories. 
In annual reports, "offenses known" data and clearances by arrest 
are summarized by the contributors. Annual forms provide a report 
of persons arrested for all criminal offenses with respect to age, sex 
and race of the offender as well as an accounting of the number of 
persons formally charged and their disposition. Police employee data 
is collected annually, including the number of police killed and 
assaulted. 

Reporting Area 

During the calendar year 1962, crime reports were received from 
law enforcement agencies representing 98 percent of the total United 
States population living in standard metropolitan statistical areas, 94 
percent of the population in other cities, and 80 percent of the rural 
population. The combined coverage accounts for 94 percent of the 
national population. 

Presentation of crime data by areas as used in this publication 
follows as closely as practical the definitions used by Bureaus of the 
Budget and Census; namely, standard metropolitan statistical areas, 
other cities and rural areas. Standard metropolitan statistical areas 
are generally made up of an entire county or counties having at least 
one core city of 50,000 or more inhabitants, with the whole meeting 
the requirements of certain metropolitan characteristics. In New 
England, ''town" instead of "county" is used to describe standard 
metropolitan statistical areas. These towns do not coincide generally 
with established crime reporting units; therefore, metropolitan state 
economic areas in New England are used in this area tabulation since 
they encompass an entire county or counties. Standard metropolitan 
statistical areas make up an estimated 64 percent of the total United 
States population. 

Other cities are urban places outside standard metropolitan statistical 
areas. Most of these places of 2,500 or more inhabitants are incor- 
porated and comprise 13 percent of the 1962 esthnated population. 
Rural areas are made up of the unincorporated portion of counties 
outside of urban places and standard metropolitan statistical areas 
and represent 23 percent of our national population. Throughout 
this Program, sheriffs, county police and many state police report 
on crimes committed within the limits of the county but outside 
cities, while police report on crimes committed within the city limits 
(urban places). 

28 



Verification Processes 

Uniformity of crime data collected under this Program is of primary 
concern to the FBI as the national clearinghouse. With the receipt 
of reports covering approximately 8,000 jurisdictions, prepared on a 
voluntary basis, the problems of attaining uniformity are readily 
apparent. Issuance of instructions does not complete the role of the 
FBI. On the contrary, it is standard operating procedure to 
examine each incoming report not only for arithmetical accuracy but 
also, and possibly of even more importance, for reasonableness as a 
possible indication of errors. 

Variations in the level and ratios among the crime classes established 
by previous reports of each agency are used as a measure of possible or 
probable incompleteness or changes in reporting policy. Necessary 
arithmetical adjustments or unusual variations are brought to the 
attention of the submitting agency by correspondence. During 1962, 
over 15,000 letters were addressed to contributors primarily as a 
result of verification and evaluation processes. Correspondence 
with contributors is the principal tool for supervision of quality. Not 
only are the individual reports studied, but also periodic trends for 
individual reporting units are prepared, as are crime rates in descending 
order for all units grouped for general comparability to assist in detect- 
ing variations and fluctuations possibly due to some reason other than 
chance. For the most part, the problem is one of keeping the con- 
tributors informed of the type information necessary to the success of 
this Program. 

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

Uniform Crime Reporting has been taught to all law enforcement 
officers attending the FBI National Academy. The Academy was 
established in 1935, and there are 2,768 graduates who are still in law 
enforcement, almost 29 percent of whom are the executive heads of 
law enforcement agencies. The FBI also presents this subject to 
regional police schools throughout the country. 

Contacts by Special Agents of the FBI are utilized to enlist the 
cooperation of new contributors and to explain the purpose of this Pro- 
gram and the methods of assembling information for reporting. When 
correspondence, including specially designed questionnaires, fails, 
Special Agents may be directed to visit the contributor to affirmatively 
resolve the misunderstanding. During calendar year 1962, Special 
Agents of the FBI continued to be used for contacts with contributors 
on Uniform Crime Reporting matters. 

29 



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

It is clear, of course, that regardless of the extent of the statistical 
verification processes used by the FBI, the accuracy of the data as- 
sembled under this Program depends upon the degree of sincere effort 
exerted by each contributor to meet the necessary standards of 
reporting, and, for this reason, the FBI is not in a position to vouch 
for the validity of the reports received. 

The Crime Totals 

Communities not represented by crime reports are relatively few, 
as discussed previously and as shown by an examination of the tables 
which follow presenting 1962 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 m'ban, and rural — it is assumed that the unreported portion 
had the same proportionate crime experience as that for which re- 
ports were received. In lieu of figures for the entire year from those 
agencies representing at least 25 percent of any one of the individual 
units of the three areas indicated above for which estimates were 
prepared, reports for as many as 9 months were accepted as sufficiently 
representative on which to base estimates for the year. Estimates 
for unreported areas are based on the reported crime experience of 
similar areas within each state. Certain refinements are made of 
this basic estimating procedure as the need arises. 

Crime Trends 

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

As a matter of standard procedure, crime trends for individual places 
are analyzed by the FBI five times a year. Any significant increase 
or decrease is made the subject of a special inquiry with the 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 

30 



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 Bureau of 
the Census on November 26, 1962, 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. The 
estimated United States population increase in 1962 was 1.5 percent 
over 1961, according to figures published by the Bureau of the Census. 

Classification of Offenses 

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

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

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

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

2. Forcible rape. — Rape by force, assault to rape and attempted 



31 



rape. Excludes statutory offenses (no force used — victim under age 
of consent). 

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

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

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

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

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

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

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

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

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

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

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

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

32 



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

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

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

18. Drunkenness. ^ — ^Drunkenness or intoxication. 

19. Disorderly conduct. — Breach of the peace. 

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

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

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

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

24. Parking violations. — Improper or overtime parking. 

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

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

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



33 



The Index of Crime, 1962 

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

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



34 



C c tj 









a3 S C , S 



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C^ I- . CO 'C . 

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Tf< O 'O 00 00 CO 



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35 









Table 2.— Index of Crime 


by Geographic 


Area 


Year 


Population ' 


Total offenses 


Murder and 
nonnegligent 
manslaughter 


Forcible rape 




Number 


Rate per 
100,000 


Num- 
ber 


Rate per 
100,000 


Num- 
ber 


Rate per 
100,000 


United States Total 


1961 
1962 


182, 953, 000 
185, 822, 000 


1, 926, 119 

2,048,341 

+6.3 


1, 052. 8 
1,102.3 

+4.7 


8,599 
8,404 
-2.3 


4.7 

4.5 

-4.3 


16,012 
16,313 
+ 1.9 


8.8 
8.8 




1961 
1962 




New England 

Percent change 


10, 723, 000 
10, 644, 000 


86, 996 

94, 120 

+8.2 

18,892 

20, 525 

4,980 

5,252 

48, 531 

53,162 

2,706 

3, 308 

9,607 

9,603 

2,280 

2,270 


811.3 
884.2 
+9.0 
722.7 
790. 3 
502.0 
525.7 
927.2 
1,030.1 
435.7 
523.4 
1,108.1 
1,110.2 
577.2 
582.0 


137 

166 

+21.2 

25 

34 

16 

14 

77 

95 

4 

15 

9 

7 

6 

1 


1.3 
1.6 
+23.1 
1.0 
1.3 
1.6 
1.4 
1.5 
1.8 

.6 
2.4 
1.0 

.8 
1.5 

.3 


483 

429 

-11.2 

64 

81 

58 

28 

291 

256 

19 

22 

15 

18 

36 

24 


4.5 
4.0 
-11.1 
2.4 
3.1 
5.8 
2.8 
5.6 
5.0 
3.1 
3.5 
1.7 
2.1 
9.1 
6.2 


Connecticut _ 

Maine 

Massachusetts 

New Hampshire 

Rhode Island 

Vermont 


1961 
1962 
1961 
1962 
1961 
1962 
1961 
1962 
1961 
1962 
1961 
1962 

1961 
1962 


2,614,000 

2, 597, 000 

992, 000 

999, 000 

5, 234, 000 

5,161,000 

621,000 

632, COO 

867,000 

865, 000 

395, 000 

390, 000 


Middle Atlantic 

Percent change 


34, 745, 000 
35,023,000 


319,414 

349, 594 

+9.4 

62, 783 

70, 296 

181,566 

199,617 

75, 065 

79, 681 


919.3 

998.2 

+8.6 

1,005.5 

1,125.6 

1,066.0 

1,147.1 

654.6 

700.4 


1,050 

1,122 

+6.9 

153 

187 
603 
628 
294 
307 


3.0 
3.2 
+6.7 
2.5 
3.0 
3.5 
3.6 
2.6 
2.7 


2,259 

2,579 

+14.2 

458 

510 

1,004 

1,172 

797 

897 


6.5 
7.4 
+13.8 
7.3 
8.2 
5.9 
6.7 
6.9 
7.9 


New Jersey 

New YorkL 

Pennsylvania 


1961 
1962 
1961 
1962 
1961 
1962 

1961 
1962 


6, 244, 000 
6, 245, 000 
17,033,000 
17,402,000 
11,468,000 
11,376,000 


East North Central.., 
Percent change 


36, 822, 000 
37,041,000 


410,147 

418,528 

+2.0 

174,022 

171,449 

42, 112 

45, 131 

97, 731 

103,368 

75, 320 

77, 560 

20, 962 

21,020 


1,113.9 

1,129.9 

+ 1.4 

1,696.5 

1,689.7 

893.9 

957.2 

1,228.7 

1,293.6 

762.7 

768.1 

521.2 

513. 7 


1,360 

1,320 

-2.9 

492 

537 

190 

165 

309 

260 

306 

321 

63 

37 

386 

423 

+9.6 

36 

31 

41 

63 

34 

33 

223 

241 

34 

23 

6 

8 

12 

24 


3.7 
3.6 
-2.7 
4.8 
5.3 
4.0 
3.5 
3.9 
3.3 
3.1 
3.2 
1.6 
.9 


3, 573 

3,723 

+4.2 

1,767 

1,884 

226 

261 

925 

960 

554 

520 

101 

98 


9.7 
10.1 
+4.1 
17.2 
18.6 
4.8 
5.5 
11.6 
12.0 
5.6 
5.1 
2.5 
2.4 


Illinois 

Indiana 

Michigan 

Ohio 

Wisconsin 


1961 
1962 
1961 
1962 
1961 
1962 
1961 
1962 
1961 
1962 

1961 
1962 


10, 258, 000 
10,146,000 
4,711,000 
4,715,000 
7, 954, 000 
7,991,000 
9,876,000 
10, 097, 000 
4,022,000 
4,092,000 


West North Central.. 
Percent change.. 


15,581,000 
15, 664, 000 


121, 278 
128, 162 
+5.7 
13, 846 
15, 108 
14,531 
15, 745 

26, 098 

27, 366 
52, 189 
54, 384 

8,245 
8,739 
2,490 
2, 635 
3,879 
4,185 


778.4 
818.2 
+5.1 
498.2 
544.0 
662.3 
709.6 
752.1 
787.5 
1, 192. 1 
1,251.3 
576.2 
588.9 
389.1 
410.4 
562.2 
580.4 


2.5 
2.7 
+8.0 
1.3 
1.1 
1.9 
2.8 
1.0 

.9 
5.1 
5.5 
2.4 
1.5 

.9 
1.2 
1.7 
3.3 


993 

1,086 

+9.4 

81 

105 

118 

147 

94 

124 

578 

548 

47 

93 

33 

27 

42 

42 


6.4 
6.9 
+7.8 
2.9 
3.8 
5.4 
6.6 
2.7 
3.6 
13.2 
12.6 
3.3 
6.3 
5.2 
4.2 
6.1 
5.8 


Iowa ... 


1961 
1962 
1961 
1962 
1961 
1962 
1961 
1962 
1961 
1962 
1961 
1962 
1961 
1962 


2, 779, 000 
2, 777, 000 
2, 194, 000 

2, 219, 000 

3, 470, 000 

3, 475, 000 

4, 378, 000 
4, 346, 000 
1,431,000 
1,484,000 

640, 000 
642, 000 
690, 000 
721,000 


Kansas 


Minnesota 


Missouri 


Nebraska 

North Dakota 

South Dakota 



See footnotes at end of table. 



36 



Divisions and States, 1961-62 















Larceny 


$50 and 






Robbery 


Aggravated assault 


Burglary 


over 


Auto tlieft 


Number 


Rate per 


Number 


Rate per 


Number 


Rate pel- 


Number 


Rate per 


Number 


Rate per 




100,000 




100,000 




100,000 




100,000 




100,000 


91,659 


50.1 


133, 020 


72.7 


852, 506 


466.0 


498, 117 


272.3 


326, 206 


178.3 


95, 260 


51.3 


139, 625 


75.1 


892, 755 


480.4 


539, 883 


290.5 


356,091 


191.6 


+3.9 


+2.4 


+5.0 


+3.3 


+4.7 


+3.1 


+8.4 


+6.7 


+9.2 


+7.5 


1,543 


14.4 


2,154 


20.1 


38, 658 


360.5 


22, 698 


211.7 


21,323 


198. 9 


1,815 


17.1 


2,419 


22.7 


41,390 


388.8 


24, 377 


229.0 


23, 524 


221.0 


+ 17. r. 


+18.8 


+ 12.3 


+ 12.9 


+7.1 


+7.9 


+7.4 


+8.2 


+ 10.3 


+ 11.1 


238 


9.1 


551 


21.1 


9, 526 


364. 4 


5, 068 


193.9 


3, 420 


130. 8 


258 


9.9 


565 


21.8 


10, 2.59 


395. 


5, .530 


212.9 


3,798 


146.2 


87 


8.8 


123 


12.4 


2. 615 


263. 6 


1,3.59 


137.0 


722 


72.8 


78 


7.8 


111 


11.1 


2, 706 


270.9 


1,4.57 


145.8 


8,58 


85.9 


1,066 


20.4 


1,181 


22.6 


19, 683 


376.1 


12,018 


229.6 


14, 215 


271. 6 


1,331 


25.8 


1,341 


26.0 


21,181 


410.4 


13, 290 


257. 5 


15,668 


303. 6 


21 


3.4 


45 


7. 2 


1, 573 


253. 3 


,589 


94.8 


4.55 


73.3 


22 


3.5 


119 


18.' 8 


1,781 


281.8 


811 


128.3 


538 


85. 1 


115 


13.3 


233 


26.9 


3,937 


454.1 


3,121 


360.0 


2.177 


251. 1 


108 


12.5 


269 


31.1 


4,002 


462.7 


2,887 


333.8 


2,312 


267. 3 


16 


4.1 


21 


5.3 


1,324 


335.2 


543 


137.5 


334 


84.6 


18 


4.6 


14 


3.6 


1,461 


374.6 


402 


103.1 


350 


89.7 


13, 287 


38.2 


22, 094 


63. 6 


125, 622 


361.6 


98, 200 


282. 6 


56, 902 


163. 8 


14, 862 


42.4 


23, 6C4 


67.4 


136, 129 


388.7 


108, 342 


309.3 


62, 956 


179.7 


+11.9 


+ 11.0 


+6.8 


+6.0 


+8.4 


+7.5 


+ 10.3 


+9.4 


+ 10.6 


+9.7 


2,371 


38.0 


3,299 


52.8 


29, 329 


469.7 


14. 272 


228.6 


12, 901 


206. 6 


2,816 


45.1 


3,889 


62.3 


31,868 


510. 3 


16, 385 


262.4 


14,641 


234.4 


6,921 


40.6 


13, 305 


78.1 


60, 234 


353.6 


69, 067 


405.5 


30, 432 


178. 7 


7,622 


43.8 


14,156 


81.3 


67, 303 


386.7 


75, 699 


435. 


33, 037 


189.8 


3, 995 


34.8 


5,490 


47.9 


36, 059 


314.4 


14, 861 


129.6 


13. 569 


118.3 


4,424 


38.9 


5,559 


48.9 


36, 958 


324.9 


16, 258 


142.9 


15, 278 


134. 3 


32, 039 


87.0 


26, 190 


71.1 


172, 267 


467.8 


101,029 


274.4 


73, 689 


200. 1 


32, 378 


87.4 


29, 076 


78.5 


168, 494 


454. 9 


103, 329 


279.0 


80, 208 


216. 5 


+ 1.1 


+.5 


+11.0 


+ 10.4 


-2.2 


-2.8 


+2.3 


+ 1.7 


+8.8 


+8.2 


20, 977 


204. 5 


13, 128 


128.0 


60, 204 


586.9 


41,062 


400.3 


36, 392 


354. 8 


20, 442 


201.5 


15,149 


149.3 


56, 377 


555.6 


39, 350 


387.8 


37, 710 


371.7 


1,783 


37.8 


1,577 


33.5 


20, 586 


437.0 


9,817 


208.4 


7,933 


168.4 


1,768 


37.5 


1,709 


36.2 


20, 605 


437.0 


11,905 


252. 5 


8,718 


184.9 


5, 004 


62.9 


7,802 


98.1 


46. 861 


589.2 


22, 964 


288.7 


13. 866 


174. 3 


5, 990 


75. C 


8,116 


101.6 


46, 857 


.586. 4 


25, 426 


318.2 


15, 759 


197.2 


3,914 


39.6 


3,066 


31.0 


35. 595 


360.4 


19,838 


200.9 


12,047 


122. 


3 830 


37.9 


3, 528 


34.9 


35, 898 


355. 5 


19, 682 


194.9 


13, 781 


136. 5 


361 


9.0 


617 


15.3 


9. 021 


224.3 


7,348 


182.7 


3,451 


85.8 


348 


8.5 


574 


14.0 


8, 757 


214.0 


6,966 


170.2 


4,240 


103. 6 


5.702 


36. 6 


4, 354 


27.9 


59, .557 


382.2 


31,709 


203.5 


18,577 


119.2 


5,597 


35.7 


5, 393 


34.4 


60, 604 


386. 9 


33, 967 


216.8 


21,092 


134.7 


-1.8 


-2.5 


+23.9 


+23.3 


+ 1.8 


+ 1.2 


+7.1 


+6.5 


+13.5 


+13.0 


291 


10.5 


235 


8.5 


6. 356 


228.7 


4,907 


176.6 


1,940 


69.8 


238 


8.6 


185 


6.7 


7,326 


263.8 


5,186 


186.7 


2,037 


73.4 


460 


21.0 


608 


27.7 


7.275 


331.6 


4,149 


189.1 


1,880 


8.5.7 


480 


21.6 


722 


32.5 


7, 531 


339.4 


4,533 


204.3 


2,269 


102. 3 


951 


27.4 


413 


11.9 


12,473 


359. 5 


7. 464 


215.1 


4,669 


134. 6 


1,028 


29.6 


474 


13.6 


12, .5.55 


361.3 


8,157 


234.7 


4,995 


143. 7 


3, 637 


83.1 


2,705 


61.8 


26, 782 


611.7 


10,913 


249.3 


7,351 


167. 9 


3.474 


79.9 


3, 630 


83.5 


26, 238 


603. 7 


11,471 


203. 9 


8.782 


202.1 


234 


16.4 


257 


18.0 


3. 7.30 


260.7 


2,289 


160.0 


1,654 


11.5.6 


275 


18.5 


233 


15.7 


3,894 


262. 4 


2, 425 


163.4 


1,796 


121.0 


68 


10.6 


53 


8.3 


1,286 


200.9 


595 


93.0 


449 


70.2 


40 


6.2 


53 


8.3 


1,217 


189. 6 


754 


117.4 


536 


83.5 


61 


8.8 


83 


12.0 


1,655 


239.9 


1,392 


201.7 


634 


91.9 


62 


8.6 


96 


13.3 


1,843 


255. 6 


1,441 


199.9 


677 


93. 9 



37 



Table 2. — Index of Crime by Geographic 



Area 



South Atlantic 2. 



Percent change. 
Delaware 



Florida 

Georgia 

Maryland 

North Carolina. 
South Carolina. 

Virginia 

West Virginia... 



East South Central... 



Percent change. 
Alabama 



Kentucky.. 
Mississippi. 
Tennessee.. 



West South Central.- . 



Percent change . 
Arkansas 



Louisiana- 
Oklahoma. 
Texas 



Mountain. 



Percent change. 
Arizona 



Colorado 

Idaho 

Montana 

Nevada 

New Mexico- 

Utah 

Wyoming 



Pacific 



Percent change. 
Alaska 



California. .- 

Hawaii 

Oregon 

Washington. 



Year 



1961 
1962 



1961 
1962 
1961 
1962 
1961 
1962 
1961 
1962 
1961 
1962 
1961 
1962 
1961 
1962 
1961 
1962 

1961 
1962 



1961 
1962 
1961 
1962 
1961 
1962 
1961 
1962 

1961 
1962 



1961 
1962 
1961 
1962 
1961 
1962 
1961 
1962 

1961 
1962 



1961 
1962 
1961 
1962 
1961 
1962 
1961 
1962 
1961 
1962 
1961 
1962 
1961 
1962 
1961 
1962 

1961 
1962 



1961 
1962 
1961 
1962 
1961 
1962 
1961 
1962 
1961 
1962 



Population ■ 



26, 545, 000 
27, 121, 000 



458, 000 

469. 000 

5, 222, 000 

5. 459. 000 

3, 987, 000 

4. 100, 000 

3, 188, 000 
3,191.000 

4, 614. 000 
4.731,000 
2, 407. 000 
2, 436, 000 
4, 059, 000 
4, 177, 000 
1, 850, 000 
1. 773. 000 



12. 208. 000 
12. 323. 000 



3. 302. 000 
3, 358. 000 
3. 076. 000 
3, 082, 000 
2, 215, 000 

2, 248. 000 

3. 615. 000 
3. 634. 000 



17, 266, 000 
17,718,000 



1,797,000 
1,823,000 
3.321,000 
3, 330, 000 
2, 360. 000 
2. 448, 000 
9, 788. 000 
10.116.000 



7, 073, 000 
7,510,000 



1,391,000 

1, 509, 000 

1,781,000 

1,907,000 

684, 000 

698, 000 

682, 000 

709, 000 

299, 000 

335, 000 

983, 000 

1,020,000 

916,000 

967, 000 

338, 000 

365. 000 



21,989,000 
22, 779, 000 



234, 000 

246, 000 

16, 397, 000 

16, 970, 000 

657, 000 

693, 000 

1,799,000 

1,864,000 

2, 902, 000 

3, 006, 000 



Total offenses 



Number Rate pe 



260. 919 

274, 832 

+5.3 

4,563 

4,999 

74, 824 

77, 630 

37,612 

41, 798 

31.887 

33, 654 
32, 044 

34, 016 
21,552 
22, 764 

35, 671 

36, 686 
8.312 
8.099 



91. 000 
96. 427 
+6.0 
24, 878 
26, 060 
24, 266 
26, 928 
10, 208 
10. 035 
31.648 
33. 404 



172, 643 

179, 553 

+4.0 

10,481 

10. 822 

27, 223 

27, 577 

24, 745 

25, 461 

110, 194 

115.693 



90, 246 

102, 836 

+ 14.0 

24, 074 

27, 370 

25, 708 

29, 801 

5, 025 

5,585 

6,786 

6,800 

6,531 

8,184 

11,087 

12, 393 

8,082 

10, 074 

2,953 

2.629 



373. 476 

404,289 

+8.3 

2,452 

2,625 

316,208 

341,215 

8, 358 

9,383 

17,011 

19, 026 

29, 447 

32, 040 



100,000 



982.9 

1,013.4 

+3.1 

996.3 

1, 065. 8 

1. 432. 9 

1, 422. 1 

943. 4 

1,019.5 

1, 000. 2 

1.054.6 

694.5 

719.0 

895.4 

934.6 

878.8 

878.3 

449.3 

456. 8 



745.4 
782.5 
+5.0 
753.4 
776.0 
788.9 
873.7 
460.9 
446.4 
875.5 
919.2 



1,013.3 

+1.3 

583.2 

593.6 

819.7 

828.1 

1,048.5 

1,040.1 

1,125.8 

1.143.7 



275.9 
369.3 
+7.3 
730.7 
813.2 
443.5 
562.8 
734.6 
800.2 
995. 
959.1 
184.3 
442.9 
127.9 
215.0 
882.3 
041.8 
873.7 
720.4 



1,698.5 
1,774.8 

+4.5 
1,047.9 
1,067.1 
1,928.5 
2,010.7 
1,272.1 
1,353.7 

945.6 
1,020.7 
1,014.7 
1.065.8 



Murder and 
nonnegligent 
manslaughter 



Num- 
ber 



2,172 

2,093 

-3.6 

18 

18 

477 

420 

400 

422 

143 

183 

401 

353 

280 

247 

283 

293 

82 

66 



1,147 
901 
-21.4 
427 
316 
201 
201 
229 
164 
290 
220 



1,278 
1,222 
-4.4 
163 
144 
211 
225 
119 
126 
785 



311 
341 
+9.6 
84 
86 
83 
96 
14 
21 
17 
15 
21 
27 
65 
62 
16 
22 
11 
12 



758 

816 

+7.7 

27 

11 

605 

657 

15 

20 

48 

54 

63 

74 



Rate per 
100,000 



8.2 
7.7 
-6.1 
3.9 
3.8 
9.1 
7.7 
10.0 
10.3 
4.5 
5.7 
8.7 
7.5 
11.6 
10.1 
7.0 
7.0 
4.4 
3.7 



9.4 

7.3 

-22.3 

12.9 
9.4 
6.5 
6.5 

10.3 
7.3 
8.0 
6.1 



7.4 
6.9 
-6.8 
9.1 
7.9 
6.4 
6.8 
5.0 
5.1 
8.0 
7.2 



4.4 
4.5 
+2.3 
6.0 
5.7 
4.7 
5.0 
2.0 
3.0 
2.5 
2.1 
7.0 
8.1 
6.6 
6.1 
1.7 
2.3 
3.3 
3.3 



3.4 
3.6 
+5.9 
11.5 
4.5 
3.7 
3.9 
2.3 
2.9 
2.7 
2.9 
2.2 
2.5 



Forcible rape 



Num 
ber 



2,161 

2,063 

-4.5 

24 

40 

398 

318 

380 

439 

262 

279 

327 

352 

213 

164 

373 

308 

81 

75 



769 
732 
-4.8 
252 
218 
146 
177 
129 
96 
242 
241 



1,624 

1,478 
-9.0 
130 
124 
267 
226 
286 
182 
941 
946 



743 

851 

+14.5 

200 

198 

230 

283 

44 

25 

48 

52 

24 

66 

123 

123 

62 

76 

12 

28 



3.407 

3.372 

-1.0 

31 

46 

3.033 

2, 946 

25 

17 

138 

174 

180 



1 Population for each State for 1961 and 1962 is Bureau of the Census provisional estimate as of July 1, 
and suljjoet to change. All rates were calculated on the estimated population before rounding. 

2 Includes the District of Columbia. 

38 



Divisions and States, 1961-62 — 


-Continiiecl 










Robbery 


Aggravated assault 


Burglary 


Larceny $50 and 
over 


Auto theft 


Number 


Rate per 


Number 


Rate per 


Number 


Rate p(M- 


Number 


Rate per 


Number 


Rate per 




100,000 




100,000 




100,000 




100,000 




100,000 


10. 100 


38.0 


30,410 


114.0 


117.137 


441.3 


61,429 


231.4 


37, 510 


141.3 


10.401 


38.4 


29. 756 


109.7 


124. 272 


458.2 


66, 544 


245.4 


39, 703 


146. 4 


+3.0 


+ 1.1 


-2.2 


-4.3 


+6.1 


+3.8 


+8.3 


+6.1 


+5.8 


+3.6 


120 


26.2 


98 


21.4 


2,513 


548.7 


1,062 


231.9 


728 


159.0 


135 


28.8 


89 


19.0 


2,608 


556. 1 


1, 267 


270.1 


842 


179. 5 


3. 746 


71.7 


5. 835 


111.7 


37. 627 


720. 5 


17, 879 


342.4 


8,862 


169. 7 


3.457 


63.3 


5,437 


99.6 


40, 575 


743.3 


18, 236 


334.1 


9,187 


168.3 


1.129 


28.3 


3,750 


94.1 


17, 439 


437.4 


8. 254 


207. 


6, 260 


157.0 


1,301 


31.7 


3,473 


84.7 


18. 872 


460. 3 


9,439 


230.2 


7, 8.52 


191.5 


1,330 


41.7 


2,819 


88.4 


12. 348 


387.3 


8,688 


272.5 


6,297 


197. 5 


1,340 


42.0 


2,722 


85.3 


12, 886 


403. 8 


10,018 


313. 9 


6, 226 


195. 1 


653 


14.2 


7,725 


167.4 


12,478 


270.4 


6,742 


146. 1 


3,718 


80.6 


786 


16.6 


7,864 


166. 2 


13, 606 


287. 6 


7,144 


151.0 


3,911 


82.7 


500 


20.8 


2,313 


96.1 


10.241 


425. 5 


5,293 


219.9 


2, 712 


112.7 


467 


19.2 


2,125 


87.2 


10, 929 


448.7 


6,110 


250.8 


2,722 


111.7 


1,026 


25.3 


4,271 


105.2 


15,151 


373.3 


9,386 


231.2 


5,181 


127. 6 


1,031 


24.7 


4.435 


106.2 


15, 885 


380.3 


9,653 


231.1 


5,081 


121. 6 


216 


11.7 


629 


34.0 


4,396 


237. 6 


1, 645 


88.9 


1, 263 


68.3 


273 


15.4 


584 


32.9 


3,837 


216. 4 


2,000 


112.8 


1.264 


71.3 


3,160 


25. 9 


8.929 


73.1 


43. 690 


357.9 


21,098 


172.8 


12,207 


100.0 


3,321 


27.0 


8, 510 


69.1 


46,218 


375.1 


23, 395 


189. 9 


13, 350 


108.3 


+5.1 


+4.2 


-4.7 


-5.5 


+5.8 


+4.8 


+10.9 


+9.9 


+9.4 


+8.3 


630 


19.1 


3,802 


115.1 


11,014 


333. 6 


6,218 


188.3 


2,535 


76.8 


754 


22.5 


3,570 


106.3 


11,522 


343.1 


6,879 


204.8 


2,801 


83.4 


1,085 


35.3 


1.424 


46.3 


11,271 


366.4 


6.809 


221.4 


3.330 


108.3 


1,122 


36.4 


1,412 


45.8 


12, 809 


415.6 


7,638 


247.8 


3, 569 


115.8 


345 


15.6 


1,425 


64.3 


4.703 


212.3 


2,066 


93.3 


1,311 


59.2 


179 


8.0 


1,488 


66.2 


5,115 


227.5 


1,759 


78.2 


1.234 


54.9 


1.100 


30.4 


2.278 


63.0 


16, 702 


462.0 


6.005 


166.1 


5,031 


139.2 


1.266 


34.8 


2.040 


56.1 


16. 772 


461.6 


7.119 


195. 9 


5. 746 


158. 1 


5,716 


33.1 


14.919 


86.4 


84. 522 


489.5 


38, 599 


223.6 


25, 985 


150.5 


5,794 


32.7 


15,049 


84.9 


85, 538 


482.7 


41, 757 


235.7 


28, 715 


162. 1 


+1.4 


-1.2 


+.9 


-1.7 


+1.2 


-1.4 


+8.2 


+5.4 


+10.5 


+7.7 


446 


24.8 


940 


52.3 


4,994 


277.9 


2,814 


156.6 


994 


55.3 


400 


21.9 


878 


48.2 


5,127 


281.2 


2,919 


160.1 


1,230 


67.5 


1,476 


44.4 


2, 215 


66.7 


11,180 


336.6 


6,241 


187.9 


5,633 


169.6 


1,298 


39.0 


2,446 


73.5 


10, 891 


327.1 


6,354 


190.8 


6,137 


184.3 


804 


34.1 


1.173 


49.7 


11.951 


506.4 


5,982 


253.5 


4,430 


187.7 


958 


39.1 


1,156 


47.2 


11.929 


487.3 


6,284 


256.7 


4,826 


197.1 


2,990 


30.5 


10, 591 


108.2 


56. 397 


576.2 


23, 562 


240.7 


14, 928 


152.5 


3.138 


31.0 


10. 569 


104.5 


57, 591 


569.3 


26. 200 


259.0 


16, ,522 


163.3 


3,653 


51.6 


3,305 


46.7 


38, 668 


546.7 


25, 862 


365.6 


17, 704 


250.3 


3,714 


49.5 


3.876 


51.6 


43. 274 


576.2 


30, 377 


404.5 


20,403 


271.7 


+1-7 


-4.1 


+17.3 


+10.5 


+11.9 


+5.4 


+17.5 


+ 10.6 


+15.2 


+8.5 


786 


56.5 


1,107 


79.6 


10. 262 


737.7 


6,692 


481.1 


4,943 


355.4 


851 


56.4 


1,340 


88.8 


11, 693 


774.6 


7,806 


517.1 


5,396 


357.5 


1,633 


91.7 


673 


37.8 


11,681 


655.9 


6,484 


364.1 


4,924 


276.5 


1,624 


85.2 


931 


48.8 


12, 988 


681.1 


7,735 


405.6 


6,144 


322.2 


64 


9.4 


100 


14.6 


2,203 


322.1 


1,827 


267.1 


773 


113.0 


63 


9.0 


125 


17.9 


2.458 


352. 2 


2.063 


295.6 


830 


118.9 


173 


25.4 


185 


27.1 


2, 857 


418.9 


1,983 


290.8 


1,523 


223.3 


141 


19.9 


154 


21.7 


2,941 


414.8 


1.906 


268.8 


1,591 


224.4 


317 


106.0 


187 


62.5 


2,724 


911.0 


1,842 


616.1 


1,416 


473.6 


357 


106.6 


261 


77.9 


2,971 


886.8 


2,815 


840.3 


1,687 


503.6 


373 


37.9 


744 


75.7 


4,157 


422.9 


3,511 


357.2 


2,114 


215.1 


410 


40.2 


771 


75.6 


5,015 


491.7 


3,784 


371.0 


2,228 


218.4 


186 


20.3 


187 


20.4 


3,558 


388.4 


2,447 


267.1 


1,626 


177.5 


217 


22.4 


239 


24.7 


4,170 


431.2 


3.319 


343.2 


2,031 


210.0 


121 


35.8 


122 


36.1 


1,226 


362.7 


1.076 


318.3 


385 


113.9 


51 


14.0 


55 


15.1 


1.038 


284.4 


949 


260.0 


496 


135.9 


16. 459 


74.9 


20, 665 


94.0 


172,385 


784.0 


97, 493 


443.4 


62, 309 


283.4 


17,378 


76.3 


21, 942 


96.3 


186, 836 


820.2 


107, 805 


473.3 


66, 140 


290.3 


+^o^ 


+1.9 


+6.2 


+2.4 


+8.4 


+4.6 


+10.6 


+6.7 


+6.1 


+2.4 


29 


12.4 


121 


51.7 


891 


380.8 


862 


368.4 


491 


209.8 


34 


13.8 


134 


54.5 


865 


351.6 


975 


396.3 


560 


227.6 


14.832 


90.5 


19, 591 


119.5 


146, 615 


894.2 


79, 137 


482.6 


52, 395 


319.5 


15, 598 


91.9 


20, 548 


121.1 


158, 523 


934.1 


87, 671 


516.6 


55. 272 


325.7 


70 


10.7 


51 


7.8 


3,909 


595.0 


2,285 


347.8 


2,003 


304.9 


120 


17.3 


99 


14.3 


4.485 


647.1 


2,429 


350.4 


2,213 


319.3 


626 


34.8 


430 


23.9 


7,276 


404.4 


5,994 


333.2 


2,499 


138.9 


714 


38.3 


519 


27.8 


8,268 


443.6 


6,533 


350.5 


2,764 


148.3 


902 


31.1 


472 


16.3 


13. 694 


471.9 


9,215 


317.5 


4,921 


169.6 


912 


30.3 


642 


21.4 


14, 695 


488.8 


10, 197 


339.2 


5,331 


177.3 



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78 



General United States Crime Statistics 

The data presented in this section are primarily of vahie to the hiw 
enforcement executive 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 are presented by population group and 
geographic division. 

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

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

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



79 



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83 



Table 7. — City Crime Trends, 1962 versus Average 1957-61 

[Offenses knowTi to the police in 2,471 cities over 2,500; 1962 estimated population, 87,781,000] 



Offense 



Number of offenses 



Average 
1957-61 



1962 



Percent 
change 



TOTAL 

Murder and nonnegligent manslaughter 

Manslaughter by negligence 

Forcible rape 

Robbery 

Aggravated assault 

Burglary — breaking or entering 

Larceny— theft: 

$50 and over 

Under $50 -' 

Autotheft 



1. 950, 304 



2, 304, 540 



+ 18.2 



3,844 
2,629 
7,355 



73, 706 
449, 953 

287, 758 
871, 754 
203, 907 



4,351 

2,844 

8,126 

57, 907 

83, 750 
538, 573 

351,323 

1,018,156 

239, 510 



+13.2 

+8.2 

+10.5 

+17.2 

+13.6 
+19.7 

+22.1 
+16.8 
+17.5 



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

Table ^.—Offenses Known and Cleared by Arrest, 1962, by Population Groups, 
Number per 100 Known Offenses 







[1962 estimated population] 












Total 


Criminal 
homicide 


For- 
cible 
rape 


Rob- 
bery 


Aggra- 
vated 
assault 


Bur- 
glary— 
break- 
ing or 
enter- 
ing 


Lar- 
ceny — 
theft 




Population group 


Murder 

and 
nonneg- 
ligent 
man- 
slaugh- 
ter 


Man- 
slaugh- 
ter by 
negli- 
gence 


Auto 
theft 


TOTAL, GROUPS I-VI 

2,406 cities; total population 
88,578,000: 


100.0 
25.7 


100.0 
93.1 


100. 

81.4 


100.0 
66.3 


100.0 
38.4 


100.0 

75.5 


100.0 
27.7 


100.0 
20.3 


100.0 


Offenses cleared by ar- 
rest 


25.3 






GROUP I 

50 cities over 250,000; total 
population 38,989,000: 


100.0 
26.8 


100.0 
92.7 


100.0 

78.4 


100.0 
64.2 


100.0 
38.2 


100.0 
73.9 


100.0 

27.8 


100. 
20.9 


100.0 


Offenses cleared by arrest. 


22.1 


6 cities over 1,000,000; total 
population 18,552,000: 


100.0 
27.2 

100.0 
28.3 

100.0 
24.2 


100.0 
91.9 

100.0 
94.0 

100.0 
92.7 


100. 
62.3 

100. 
87.3 

100.0 
87.0 


100.0 
61.7 

100.0 
67.7 

100. 
69.3 


100.0 
37.8 

100.0 
40.6 

100. 
36.6 


100.0 
71.9 

100. 
76. 3 

100. 
79.6 


100.0 
27.1 

100.0 
32.2 

100.0 
24.3 


100.0 
19.7 

100. 
23.0 

100.0 
19.7 


100.0 


Offenses cleared by arrest. 
18 cities, 500,000 to 1,000,000; 

total population 11, 470,- 

000: 

Offenses known 

Offenses cleared by arrest. 
2b cities, 250,000 to 500,000; 

total population 8,967,- 

000: 

Offenses known 

Offenses cleared by arrest. 


22.0 

100.0 
21.0 

100.0 
23.8 



84 



Table 8. — Offenses Known and Cleared by Arrest, 1962, by Population Groups, 
Number per 100 Known OJfenses — Continued 







[1962 


estimated population] 












Total 


Criminal 
homicide 


For- 
cible 
rape 


Ilob- 
bery 


Aggra- 
vated 
assault 


Bur- 
glary— 
break- 
ing or 
enter- 
ing 


Lar- 
ceny- 
theft 




Population group 


.Murder 

and 
nonneg- 
ligent 
man- 
slaugh- 
ter 


Man- 
slaugh- 
ter by 
negli- 
gence 


Auto 
theft 


GROUP n 




















64 cities, 100,000 to 250,000; 
total population 9,347,- 
000: 
Offenses knoAvn 


100.0 
24.1 


100.0 
93.9 


100.0 
80.8 


100.0 
69.9 


100.0 
36.9 


100.0 

77.8 


100.0 
26.7 


100.0 

18.7 


100.0 


Offenses cleared by arrest. 


27.7 


GROUP ra 




















166 cities, 50,000 to 100,000; 
total population 11,583,- 
000: 
Offenses known 


100.0 
22.5 


100.0 
93.3 


100.0 
82.4 


100.0 
70.8 


100.0 
39.7 


100.0 

77.8 


100.0 
25.5 


100.0 
18.2 


100.0 


Offenses cleared by arrest. 


27.6 


GROUP IV 




















321 cities, 25,000 to 50,000; 
total population 11,- 
233,000: 
Offenses known 


100.0 
23.7 


100.0 
92.0 


100.0 
83.8 


100.0 
70.7 


100.0 
38.5 


100 
81.8 


100.0 
27.3 


100.0 
19.7 


100.0 


Offenses cleared by arrest . 


31.0 


GROUP V 




















719 cities, 10,000 to 25,000; 
total population 11,- 
208,000: 
Offenses known 




















100.0 
25.5 


100.0 
96.4 


100.0 
96.7 


100.0 

74.8 


100.0 
42.3 


100.0 
84.2 


100.0 
29.0 


100.0 
21.0 


100.0 


Offenses cleared by arrest. 


40.0 


GROUP VI 




















1,086 cities under 10,000; 
total population 6,218,- 
000: 
Offenses known 


100.0 
29.9 


100.0 
93.1 


100.0 
92.7 


100.0 
86.4 


100.0 
48.4 


100.0 
89.1 


100.0 
33.9 


100.0 
25.0 


100.0 


Offenses cleared by arrest. 


48.2 


METROPOLITAN COUNTIES ' 




















65 counties; total popula- 
tion 9,649,000: 
Offenses known 




















100.0 
23.0 


100.0 
84.9 


100.0 
69.2 


100.0 
65.2 


100.0 
38.2 


100.0 
66.2 


100.0 
25.8 


100.0 
17.6 


100.0 


Offenses cleared by arrest . 


20.9 


RURAL COUNTIES 




















477 counties; total popula- 
tion 7,777,000: 
Offenses known 




















100.0 
32.8 


100.0 
93.4 


100.0 
90.1 


100.0 
81.3 


100.0 
59.9 


100.0 

88.7 


100.0 
32.7 


100.0 
25.9 


100.0 


Offenses cleared by arrest . 


60.5 



1 Counties in standard metropolitan statistical areas as defined by the Bureau of the Budget. 



85 



Table 9. — Offenses Known and Cleared by Arrest, 1962, by Geographic Divi- 
sions, Number per 100 Knoivn Offenses 

[1962 estimated population] 



Geographic division 



TOTAL, AIL DIVISIONS 

2,408 cities ; total population 
88,578.000: 

Offenses known 

Offenses cleared by arrest 

NEW ENGLAND 
STATES 

221 cities; total population 
6,261,000: 
Offenses known 

Offenses cleared by arrest. 

MIDDLE ATLANTIC STATES 

526 cities; total population 
21,136,000: 

Offenses known 

Offenses cleared by arrest. 

EAST NORTH CENTRAL 
STATES 

576 cities; total population 
19,906,000: 
Offenses known 

Offenses cleared by arrest. 



WEST NORTH CENTRAL 
STATES 

265 cities; total population 
6,975,000: 
Offenses known 

Offenses cleared by arrest - 

SOUTH ATLANTIC STATES 

197 cities; total population 
7,406,000: 
Offenses known 

Offensas cleared by arrest. 

EAST SOUTH CENTRAL 
STATES 

72 cities; total population 
2,872,000: 

Offenses knoAvn 

Offenses cleared by arrest- 

WEST SOUTH CENTRAL 
STATES 

135 cities; total population 
7,751,000: 

Offenses known 

Offenses cleared by arrest. 



MOUNTAIN STATES 

114 cities; total population 
3,610,000: 

Oft'enses known 

Offenses cleared by arrest . 

PACIFIC STATES 

300 cities; total population 
12,661.000: 

Offenses known 

Offenses cleared by arrest. 



Total 



100.0 
25.7 



100.0 

25.8 



100.0 
25.6 



100.0 

25.9 



100.0 
27.5 



100.0 
29.3 



100.0 
22.7 



100. 
29.1 



100. 
23.5 



100.0 
22.8 



Criminal 
homicide 



Murder 

and 
nonneg- 
ligi'nt 
man- 
slaugh- 
ter 



100.0 

89.8 



100.0 

91.8 



100.0 

<;'^ 5 



100. 
94.9 



100.0 
95.5 



100. 
93.7 



100.0 
97. 



100.0 
89.3 



100.0 
89.3 



M an- 
slaugh- 
ter by 
negli- 
gence 



100.0 
81.4 



100.0 
85.1 



100.0 
87.3 



100.0 
81.2 



100.0 
91.8 



100.0 
95.4 



100.0 
70.7 



100.0 
91.2 



100. 
70.5 



100. 
63.2 



Forci- 
ble 
rape 



100.0 
66.3 



100.0 

87.2 



100.0 

75.8 



100.0 
57.2 



100.0 
70.1 



100.0 
73.4 



100.0 
72.2 



100. 
71.5 



100. 
59.6 



100. 
61.6 



Rob- 
bery 



100.0 

38.4 



100.0 
39.8 



100.0 
39.9 



100.0 
34.3 



100.0 
40.8 



100.0 
46.6 



100.0 
38.6 



100.0 
44.4 



100. 
38.1 



100.0 
39.4 



Aggra- 
vated 
assault 



100.0 

75.5 



100.0 
83.0 



100.0 
72. 5 



100.0 
71.5 



100.0 
79.7 



100.0 
83.2 



100.0 
73.4 



100. 
81.0 



100. 
64. 3 



100.0 
76.9 



Bur- 

glary- 
break- 
ing or 
enter- 
ing 



100.0 
27.7 



100.0 
26.5 



100.0 
27.3 



100.0 
28.3 



100.0 

29. 4 



100.0 
28. 6 



100.0 
23.3 



100. 
31.6 



100.0 

28.8 



100.0 
25.2 



Lar- 
ceny- 
theft 



100.0 
20.3 



100.0 
23.5 



100.0 
18.9 



100.0 
20.1 



100.0 
23. 6 



100.0 
22.4 



100.0 
17.3 



100.0 
23. 6 



100.0 
19.8 



100.0 
17.8 



Table 10. — Dispoi^iLion of Persons Formally Charged by the Police 

[1,462 cities; 1962 estimated population 49,564,000] 



Offense 



TOTAL (less traffic) 

Criminal homicide: 

(a) Murder and nonnegligent man- 
slaughter 

(6) Manslaughter by negligence 

Forcible rape 

Robbery 

Aggravated assault 

Burglar j^— breaking or entering 

Larceny— theft 

Auto theft 

Other assaults 

Embezzlenient and fraud 

Stolen property; buying, receiving, etc 

Forgery and counterfeiting 

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

Narcotic drug laws.. 

Weapons; carrying, possessing, etc 

Otfenses against family and children.-.--- 
Liquor laws 

Driving while intoxicated 

Disorderly conduct 

Drunkenness 

Vagrancy 

Gambling 

All other offenses 

Traffic and motor vehicle laws 



Percent of i)ersons charged 



Charged 
(held for 
prosecu- 
tion) 



100.0 



100.0 
100.0 

100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 

100.0 
100.0 

100.0 



Guilty 



Offense 
charged 



73.1 



43.7 
36.1 

27.6 
42.1 
24.4 

28.3 

41.4 
20.7 
52.5 
67.4 
34.6 
58.0 
75.9 
56. 8 

60.1 
56.4 
56.0 
73.0 

78.0 
79.0 
94.2 

81.5 

69.6 

58.8 

91.4 



Lesser 
offense 



3.0 



23. 3 
12.1 

19.8 
12.2 
27.3 
13.6 

5.3 
9.9 
3.8 
7.9 
11.3 
20.4 
.9 
9.6 

9.0 
8.9 
1.5 
1.2 



1.8 
1.6 



Acquitted 
or dis- 
missed 



12.5 



29.2 

47.5 

34.8 
17.6 
34.4 
9.3 

11.5 
12.1 
35.2 
22.5 
29.8 
15.2 
22.4 
1.5.1 

27.3 
19.1 
32.3 
10.9 

9.0 
14.2 

5.0 
13.9 

28.2 
15.8 

7.9 



Referred 

to juvenile 

court 



11.3 



3.9 
4.2 

17.8 
28. 1 
13.8 
48.8 

41.7 

57. 3 
8.6 
2.2 

24.3 

6.4 

.8 

18.6 

3.7 
15.6 
10.2 
14.9 



.7 
4.1 



.4 
23.7 



.5 



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

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

of in 1962 

[1,655 cities; 1962 estimated population 54,396,000] 



Type 


TOTAL 


Murder 
and non- 
negligent 

man- 
slaughter 


Forci- 
ble 
rape 


Rob- 
bery 


Aggra- 
vated 
assault 


Bur- 
glary- 
breaking 
or enter- 
ing 


Lar- 
ceny- 
theft 


Auto 
theft 


Offenses known 


1, 359, 820 

347, 053 

25.5 

306, 826 

259, 482 
84.6 

93, 381 
30.4 

21, 479 
7.0 

37, 510 
12.2 

107, 092 
34.9 


2,474 

2.297 

92.8 

2,594 

2,051 

79.1 

960 

37.0 

387 
14.9 

575 
22.2 

129 
5.0 


4,639 

3,316 

71.5 

3,870 

3,064 
79.2 

896 
23.2 

527 
13.6 

1,002 
25.9 

639 
16.5 


34, 746 

14. 035 

40.4 

17, 953 

14, 430 
80.4 

6,057 
33.7 

1,659 

8.7 

2,579 
14.4 

4.235 
23.6 


49,413 
37. 954 

76.8 

32, 092 

26, 721 
83.3 

7,929 
24.7 

5,827 
18.2 

9.087 
28.3 

3,878 
12.1 


305, 921 

85, 575 
28.0 

69, 436 

59, 182 

85.2 

18, 465 
26.6 

6,014 

8.7 

5,762 
8.3 

28, 941 
41.7 


824, 488 

166. 398 

20.2 

143, 314 

121,364 

84.7 

51,603 
36.0 

4,698 
3.3 

14,519 
10.1 

50, 544 
35.3 


138, 139 




37. 478 


Percent cleared 


27.1 


ARRESTS 


37, 567 


Total persons charged 

Percent of arrests 


32, 650 
86.9 


Guilty 


7,471 




19.9 


Guilty of lesser offense 


2,467 
6.6 


Acquitted and dismissed 

Percent of arrests 


3,986 
10.6 


Referred to juvenile court___ 
Percent of arrests 


18,726 
49.8 







87 



Table 12.— Monthly Variations^ 1962 

[Daily average, offenses known to the police in 3,970 cities; 1962 estimated population 108,944,000] 



Month 



Criminal 
homicide 



Murder 
and non- 
neghgent 

man- 
slaughter 



Man- 
slaugh- 
ter by 
negli- 
gence 



Forci- 
ble 
rape 



Rob- 
bery 



-Aggra- 
vated 
assault 



Bur- 
glary— 
break- 
ing or 
entering 



Lar- 
ceny- 
theft 



Auto 
theft 



January-December 

January-March 

April-June 

July-September. _- 
October-December 

January 

February 

March 

April 

May 

June 

July 

August 

September 

October 

November 

December 



14.3 



J. 7 



227. 



).6 



1. 772. 3 



4. 414. 3 



13.3 
14.2 
14.5 
15.0 



8.2 
8.5 
8.4 
10.6 



26.4 
29.9 
33.8 

28.7 



238.4 
207.5 
213.6 
251. 8 



266.5 
307.7 
316.1 
267.7 



1, 792. 8 
1, 6.55. 5 
1, 763. 7 
1. 876. 3 



3, 975. 8 

4, 477. 1 
4, 637. 2 
4, 558. 1 



12.0 
13.5 
14.5 
13.9 

13.8 
15.0 
15.1 
15.2 

13.2 
14.1 
14.7 
16.1 



8.5 
8.0 
7.9 
9.2 

7.7 
8.5 
9.1 
7.9 

8.1 
9.0 
11.0 

11.8 



24.3 
26.3 
28.5 
27.8 

29.8 
32.1 
35.6 
35.1 

.30.7 
29.1 
31.5 
2.5.6 



235.2 
246.3 
234.6 
222.1 

192.4 
208. 5 
210.1 
215.7 

214.9 
220.7 
248. 5 
286.0 



244.7 
271.2 
284.1 
289.2 

310.2 
323.6 
321.4 
316.8 

309.9 

277.5 
264.2 
261.3 



1, 784. 6 
1,821.8 
1, 774. 8 
1, 750. 1 

1, 593. 5 
1, 624. 8 
1, 747. 6 
1, 799. 4 

1, 743. 4 
1, 782. 6 
1, 873. 
1,973.3 



3, 709. 1 

3, 968. 

4, 249. 4 
4, 538. 1 

4, 285. 4 
4, 614. 3 
4, 708. 7 
4, 846. 9 

4, 346. 6 
4, 479. 8 
4, 581. 
4, 614. 3 



818.6 



773. 5 
814.7 
809.7 
87.5. 4 



751. 2 
747.4 
819.3 
840.7 

795. 6 
808. 5 
818.1 
799.4 

811.8 
875. 3 
909.4 

V42. 7 



Table 13. — Offense Analysis, Trends, 1961-62, and Percent Distribution 

[582 cities over 25,000; 1962 estimated population 65,457,000] 



Classification 


Number 


of offenses 


Percent 
change 


Percent 
distribution 




1961 


1962 


1962 1 


Robbery: 

TOTAL 


48, 412 


51,210 


-f5. 8 


100 






Highway .._ 


24, 348 
12, 357 
2,885 
1,241 
3, 651 
299 
3,631 

414,815 


25, 848 
12,280 
3,009 
1,332 
4,114 
378 
4,249 

438, 747 


+6.2 

-.6 

+4.3 

+7.3 

+12.7 

+26.4 

+17.0 

+5.8 


50 5 


Commercial house. 


24 


Oilstation 


5 9 


Chain store 


2 6 


Residence 


8.0 


Bank 


7 


Miscellaneous 


8 3 


Burglary— breaking or entering: 
TOTAL 


100 






Residence (dwelling) : 
Night 


101,088 
70, 706 

222. 520 
20, £01 

996, 846 


109, 938 
79, 220 

229, 645 
19. 944 

1, 066, 074 


+8.8 
+12.0 

+3.2 
-2.7 

+6.9 


25.1 


Day 


18. 1 


Nonresidence (store, office, etc.): 
Night-. 


.52.3 


Day 


4.5 


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


100.0 






$50 and over. ... 


273,377 
578,715 
144, 754 

996. 846 


293, 710 
596. 875 
175,489 

1, 066, 074 


+7.4 

+.3.1 

+21.2 

+6.9 


27.6 


$5 to $50.- 


56.0 


Under$5 


16.5 


L;irceny— theft (by type): 


100.0 






Pocket-picking. 


8,227 
13,613 
64, 645 
188. 946 
224, 742 
140. 588 
356. 085 


8,326 
14, 693 
75, 507 
207, 593 
209, 190 
156, 075 
394, 690 


+ 1.2 

+7.9 

+16. 8 

+9.9 

-6.9 

+11.0 

+10.8 


.8 


\ ' urs(>-snatching 


1.4 


Slioplifting 


7. 1 


1'liofts from autos (except accessories) 


19.5 


Auto accessories 


19.6 


Bicycles. .- --. - 


14.6 


All others 


37.0 



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



Table 14. — Typp and Value of Property Stolen and Recoi-'cred, 1962 

[582 cities over 25,000; 1962 estimated population 65,457,000] 



Tvpo of propi'rtv 


Value of property 


Percent 




Stolen 


Recovered 


recovered 


TOTAL 


$352, 800, 000 


$181,000,000 


51 








40, 200, 000 
32, 200, 000 
9, 200, 000 

15, 800, 000 
176, 300, 0(10 
79, 100, 000 


3. 900, 000 

2, 400, 000 

400, 000 

1. 400. 000 

159,000.000 

13,900,000 


10 




8 


Turs - 


4 


Clothing - - - - -- 


9 




90 




18 







Table 15. — Value of Property Stolen, by Type of Crime, 1962 

[582 cities over 25,000; 1962 estimated population 65,457,000] 



Classificotion 


Number of 
offenses 


Value of 
property stolen 


Average 

value per 

offense 


TOTAL 


1.759.539 


$352. 800, 000 


$201 


Robbery 

Burglary 

Larceny — tlieft- 


51,210 

438, 747 

1,066,074 

203, 568 


11,400,000 
84, 400, 000 
80. 800, 000 
176, 200, 000 


223 
192 
76 


Auto theft 


866 







Table 16. — Weapons Used in Murder and Nonnegligent Manslaughter by Area 
and Population Groups, 1962 

[1,572 cities; 1962 estimated population 112,368,000] 





TOTAL 


Weapons 




Gun 


Cutting 
or stab- 
bing 


Blunt 
object 
(club, 
hammer, 
etc.) 


Personal 
weapons 
(strangu- 
lations 
and 
beatings) 


Other 
(poison, 
explo- 
sives, 
drown- 
ings, 
arson, 
etc.) 


Un- 
known 
and not 
stated 


TOTAL 


1 100. 


54.2 


24.2 


6.5 


9.2 


3.3 


2.7 


Area: 

Standard Metropolitan 
Statistical Areas, ,__ __. 


100.0 
100. 
100. 


50.5 
62.1 
66.8 


26.3 
21.5 
15.9 


6.3 
6.1 
7.6 


10.5 
6.9 

4.4 


3.5 
1.9 
2.9 


2.9 


Other Cities 


1.4 


Other Rural 


2.4 






Population group: 

Groups I and II (cities over 
100,000) 


100.0 

100.0 

100.0 

100.0 
100.0 


47.7 
54.9 
57.6 

61.6 

60.7 


29.1 

22.2 

22.1 

20.1 
16.3 


6.3 

7.3 

6.3 

5.4 
5.7 


11.2 

8.5 
9.3 

6.0 

8.8 


3.2 

3.8 

2.5 

2.8 
4.8 


2.4 


Group III (cities 50,000- 
100,000)-.. 


3.2 


Group IV (cities 25,000- 
50,000) . 


2.3 


Groups V and VI (cities 
2,500-25,000) 


4. 1 


Metropolitan counties ^ 


3.7 



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

2 Counties in standard metropolitan statistical areas as defined by the Bureau of the Budget. 



89 



688788°^63- 



Table 17. — Murder Victims — Weapons Useclr, 1962 

[1,572 agencies; 1962 estimated population 112,368,000] 





Num- 
ber 


Percent 


Weapons 


Age 


Gun 


Cutting 
or 
stab- 
bing 


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


Personal 
weapons 
(strangu- 
lations 
and 
beatings) 


Poison 


Explo- 
sives 


Other 
(drown- 
ings, 
arson, 
etc.) 


Un- 
known 
and not 
stated 


TOTAL... 
Percent 


7,268 


lioo.o 


3,931 
54.2 


1.756 
24.2 


469 
6.5 


667 
9.2 


18 
.2 


3 

(2) 


219 
3.0 


185 
2.7 








Infant (under 1). 

1-4 

5-9 

10-14 

15-19 


100 
156 
83 
92 

420 
776 
865 
914 

877 
741 
569 
476 

334 
227 

166 

lis 

126 
218 


1.4 
2.1 
1. 1 

1.3 

,,.s 

10.7 
11.9 
12.6 

12.1 
10.2 

7.8 
6.6 

4.6 
3.1 
2.3 

1.6 

1.7 
3.0 


5 
31 
24 
51 

250 
473 
518 
512 

503 
434 
313 
263 

182 
103 

78 
36 

30 
125 


5 
15 
13 
17 

106 
208 
231 
268 

229 
179 
139 
115 

67 
45 
26 
22 

17 

54 


3 
12 
9 
9 

15 
31 
41 
39 

47 
47 
32 
31 

30 
31 

27 
16 

29 
20 


39 

55 

13 

2 

26 
27 
43 
59 

64 
59 
64 
46 

40 
31 
23 
34 

31 
11 




32 
26 
16 

11 

26 

9 

19 

17 
10 

11 

3 
10 
2 
3 

4 
6 


16 


3 
2 


l" 


14 
6 
5 

12 


20-24, 






11 


25-29 


1 
2 

1 
3 
2 
2 

1 
1 


1 


22 


30-34 

3^39 

40-44 


15 

15 
9 


45-49 

50-54 


12 

8 


55-59 


11 


60-64 . - 


5 


65-69 


10 


70-74 








75 and over 






15 


Unknown 






2 











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

2 Less than one-tenth of 1 percent. 

Table 18. — Murder Victims by Age, Sex and Race, 1962 

[1,572 agencies; 1902 estimated population 112,3&8.000] 





Num- 
ber 


Per- 
cent 


Sex 


Race 


Age 


Male 


Fe- 
male 


White 


Negro 


Indian 


Chinese 


Japanese 


All 
others 
(includes 
race un- 
known) 


TOTAL.- 

Percent 


7,258 


1 looVo" 


5,257 
72.4 


2,001 
27.6 


3,388 
46.7 


3,771 
52.0 


45 
.6 


13 

.2 


4 
.1 


37 
5 








Infant (under 1). 


100 
156 
83 
92 

420 

776 
865 
914 

877 
741 
569 
476 

334 
227 
166 
118 

126 
218 


1.4 
2.1 

1.1 
1.3 

5.8 
10.7 
11.9 
12. 6 

12.1 
10 2 

7.8 
6.6 

4.6 
3.1 
2.3 
1.6 

1.7 
3.0 


59 

81 
38 
45 

317 
564 
626 
661 

631 
555 
438 
364 

268 
168 
123 
80 

68 
171 


41 
75 
45 
47 

103 
212 
239 
253 

246 
186 
131 
112 

66 
59 
43 
38 

58 
47 


65 
108 
60 

61 

205 
312 
321 
352 

356 
318 
287 
251 

186 
136 
113 
84 

104 
69 


32 
46 

99 


1 






9 


1-4 






2 


5-9 








1 


10-14 


30 

210 
454 
534 

548 

509 
418 
281 
216 

143 
87 
48 
33 

21 
139 








1 


1.5-19 


3 
6 
5 
11 

7 
4 




1 
1 


1 


20-24 

25-29- — - 


1 
3 


2 
2 


30-34-. 




3 


3.5-39 


2 


1 


2 


40-44- -. 


1 


4.5-49 






1 


50-54 


2 
3 


1 




6 


55-.59 




2 


60-64 


1 
4 

1 




3 


65-69--- -- 




1 


70-74- — 






75 and over 


1 




Unknown 


3 




* 7 











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

90 



Arrest Data 

Annual reports prepared by contributing law enforcement agencies 
giving certain personal characteristics of persons arrested are pre- 
sented in the following tabulations. Arrest rates for all criminal 
acts are shown by population group as reported by city and county 
enforcement agencies representing 67 percent of the United States 
population. Trend information is shown for both city and rural 
areas, as well as tabulations by age, sex and race. 

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

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

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



91 





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94 



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

Age, 1962 

[2,936 cities over 2,500; 1962 estimated population 91,014,000] 



Offense charged 



TOTAL 

Criminal homicide: 

(a) Murder and nonnegligent 

manslaughter 

(6) Manslaughter by negli- 
gence 

Forcible rape 

Robbery 

Aggravated assault 

Burglary — breaking or entering. ._ 

Larceny — theft 

Auto theft 

Other assaults 

Embezzlement and fraud 

Stolen property; buying, receiv- 
ing, etc 

Forgery and counterfeiting 

Prostitution and commerciahzed 
vice 

Other sex offenses (includes statu- 
tory rape) 

Narcotic drug laws 

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

Liquor laws 

Driving while intoxicated 

Disorderly conduct 

Drunkenness 

Vagrancy 

Gambling 

All other offenses, except traffic. _ . 

Suspicion 



Total 



4,116,953 



1.673 

7,489 
35, 384 
58,315 
132. 867 

255, 170 
67,419 

154, 723 
35,991 



11.943 
22, 405 



3,885 



29, 068 
39,317 



106, 528 

179, 908 

482, 166 

1.486,350 

140,611 

110.246 
525. 305 

112, 521 



Number of persons arrested 



Under 

18 



653. 359 



387 

107 

1.505 
9.343 
8.290 
67. 103 

134. 899 

42. 624 

18, 744 

950 



3. 689 
1,684 

509 

11,817 

2,329 
8,197 

804 

20, 551 

1,251 
61. 637 
16, 326 
10, 594 

1,945 
206, 843 

21, 231 



Under 
21 



1, 002, 273 



864 

357 

3.080 
16, 195 
14, 2.55 
87. 031 

164. 542 

.53. 500 

32, 999 

3,152 



5,429 
4,334 

3,168 

17. 270 

5,624 
13, 693 

3.855 
54, 659 

8, 765 

117. 431 

63, 662 

24, 985 

5,583 
255, 870 

41, 970 



Under 
25 



200 



1, 571 

613 

4,594 

23, 214 

22. 179 

102. 764 

185, 342 
59, 371 
55, 130 
7,970 



7.041 
8.160 

10. 184 

23. 936 

11. 701 
19. 512 

9.803 
62. 513 

26. 561 
179. 507 
159. 792 

39. 055 

15, 692 
305, 502 

60, 493 



Percentage 



Under 
18 



6.4 

20.1 
26.4 
14.2 
50.5 

52.9 
63.2 
12.1 

2.6 



30.9 

7.5 

1.9 

23.0 

8.0 
20.8 

2.1 
19.3 

.7 

12.8 

1.1 

7.5 

1.8 
39.4 

18.9 



Under 
21 



17.6 
21.3 

41.1 

45.8 
24.4 
6.5.6 

64.5 
79.4 
21.3 

8.8 



45. 5 
19.3 

11.8 

33.7 

19.3 
34.8 

10.0 
51.3 

4.9 

24.4 

4.3 

17.8 

5.1 

48.7 

37.3 



Under 
25 



34.1 



31.9 



61.3 

65.6 
38.0 
77.3 

.72.6 

88.1 
35. 6 
22.1 



59.0 
36.4 

37.9 

46.7 

40.3 
49.6 

25.5 

58.7 

14.8 
37.2 
10.8 
27.8 

14.2 

58.2 



53. 



95 



Table 22. — City Arrests, Distribution by Sex, 1962 

[2,936 cities over 2,500; 1962 estimated population 94,014,000] 



Offense charged 



TOTAL 



Criminal homicide: 

(a) Murder and nonnegligent man- 
slaughter 

(6) Manslaughter by negligence 



Forcible rape 

Robbery 

Aggravated assault 

Burglary — breaking or entering. 



Larceny — theft 

Auto theft 

Other assaults 

Embezzlement and fraud . 



Stolen property; buying, receiving, etc... 

Forgery and counterfeiting 

Prostitution and commercialized vice 

Other sex offenses (includes statutory 
rape) 



Narcotic drug laws 

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



Driving while intoxicated. 

Disorderly conduct 

Drunkenness 

Vagrancy 



Gambling 

All other offenses, except traffic. 



Suspicion. 



Number 



Total 



4.116.958 



4.918 
1,673 

7.489 
35. 384 
58.315 
132. 867 

255, 170 
67. 419 

154. 723 
35, 991 

11.943 
22, 405 

28, 885 

51, 290 

29, 068 
39, 317 
38, 466 

106, 528 

179, 908 

482, 163 

1.486,350 

140,611 

110,248 
525, 305 

112,621 



Male Female 



3, 644, 555 



3,973 

1,486 

7,489 

33, 563 

49, 723 

128, 091 

205, 276 
64, 804 

137. 415 
29. 654 

10. 892 
18. 345 
6.460 

42, 234 

24. 678 
36. 837 
34. 137 
91, 536 

168. 141 

416, 024 

1, 368, 773 

128, 864 

101. 975 
435, 434 

98, 751 



472, 403 



945 

187 



1,821 

8.592 
4.776 

49, 894 
2,615 

17. 308 
6.337 

1. 051 

4,060 

20, 425 

9,056 

4,390 
2,480 
4.329 
14, 992 

11,767 

66, 142 

117,577 

11,747 

8,271 

89, 871 

13. 770 



Percent 



Total 



100.0 



(2) 



.9 
1.4 



6.2 
1.6 
3.8 



.7 
1.0 

.9 
2.6 

4.4 
11.7 
36.1 

3.4 



Male Female 



100.0 



(2) 



.2 

.9 

1.4 

3.5 

5.6 
1.8 
3.8 



.3 

.5 
.2 

1.2 

.7 
1.0 

.9 
2.5 

4.6 
11.4 
37.6 

3.5 

2.8 
11.9 

2.7 



1 100. 



(2) 



.4 
1.8 
1.0 

10.6 

.6 

3.7 

1.3 

.2 

.9 

4.3 

1.9 

.9 

.5 

.9 

3.2 

2.5 
14.0 
24.9 

2.5 

1.8 
19.0 

2.9 



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

2 Less than J-io of 1 percent. 



96 



Table 23.— City Arrests by Race, 1962 

[2,917 cities over 2,500; 1962 estimated population 86,080,000] 



Offense charged 



TOTAL 

Criminal homicide: 

(«) Mnrder and nonnegligent 
manslaughter - 

(b) Manslaughter by negligeiu i' 

Forcible rape- 

Robbery 

Aggravated assault 

Burglary — breaking or entering 

Larceny— theft 

Autotheft 

Other assaults 

Embezzlement and fraud 

Stolen property; buying, receiving, 
etc 

Forgery and counterfeiting 

Prostitution and commercialized 

vice 

Other sex offenses (includes statu- 
tory rape) 

Narcotic drug laws 

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

Liquor laws 

Driving while intoxicated 

Disorderly conduct. 

Drunkenness... 

Vagrancy 

Gambling 

All other offenses, except traffic 

Suspicion 



Total 



3, 923. 465 



4, 404 
1.635 

6,730 
31.058 
48, 597 
125, 194 

247, 085 
62, 719 

146, 791 
34, 372 



10, 074 
21, 022 

23,815 

47, 247 

21, 147 
36, 556 

38, 323 
105,371 

176, 750 

407, 798 

1,484,910 

137, 598 

81,414 
510,351 

112, 506 



Race 



White 



2, 602, Oil 



1,()72 
1,272 

3,184 
12, 664 

18, 962 
81,019 

164, 275 

45, 581 
81, 578 
27, 639 



6, 300 
16, 983 

11,092 

33, 228 

11,956 
16, 307 

23, 943 
71,422 

145.112 

242, 721 

1,047,926 

95, 341 

18, 781 
351, 102 



71,951 



Negro 



1, 195, 796 



2, 6()5 
333 

3, 435 
17, 925 

28, 880 
41, 808 

78, 162 

15, .596 

62,614 

6,432 



3, 626 
3,796 

12,477 

13,057 

8,794 
19, 702 

13,961 
31,319 

28, 653 
157, 363 
360, 799 

37, 561 

57, 683 
149, 549 

39, 606 



Indian 



Chinese 



86, 027 



34 

202 

258 
640 

1,634 
559 
794 
128 



47 
126 

74 

218 

68 
138 

191 
1,739 

2,096 
3,827 
6,5, 312 
3,373 

35 
3,776 



723 



2,003 



1 
1 

3 

10 
26 
58 

192 

52 

50 

6 



22 



37 

20 

14 

18 

26 
136 
412 

42 

557 
215 

53 



Japa- 
nese 



All 
others 

(in- 
cludes 
race un- 
known) 



3,116 



17 
42 
116 

295 

88 
72 
20 



6 
13 

29 

67 

34 

27 

7 
78 

116 
105 
505 
146 

766 
551 



34, 512 



41 

19 

74 
232 

429 
1,547 

2,527 
843 

1,683 
147 



94 
95 

121 

641 

258 
362 

207 
795 

747 
3,646 
9, 956 
1,135 

3,592 

5,158 



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106 



Table 33. — Police Disposition of Juvenile Offenders Taken Into Custody, 1962 

[1962 estimated population] 



Population group 


Total 1 


Handled 
within 
depart- 
ment 
and 
released 


Keferred 

to 
juvenile 

court 
jurisdic- 
tion 


Ik'ferred 

to 
welfare 
agency 


Referred 

to 

other 

police 

agency 


Referred 

to 

criminal 

or adult 

court 


TOTAL: 2,903 agencies; total population 
83,870,000: 
Number 

Percent 


612, 320 
2 100. 


287, 242 
46.9 


286, 071 
46.7 


11,367 
1.9 


17, 792 
2.9 


9,848 
1 6 






TOTAL CITIES: 2,246 cities; total popula- 
tion 67,640,000: 
Number 


543, 169 
100.0 


255, 671 
47.1 


255, 186 
47.0 


9,733 
1.8 


15,486 
2.9 


7,093 
1 3 


Percent .. . 






GROUP I 

36 cities over 250,000; population 24,137,000: 


162, 650 
100.0 

64,111 
100.0 

92, 035 
100.0 

86.311 
100.0 

87.413 
100.0 

50, 649 
100.0 


58, 054 
35.7 

27, 550 
43.0 

49, 772 
54.1 

44. 990 
52.1 

47. 466 
54.3 

27, 839 
55.0 


97, 930 
60.2 

33, 794 

52. 7 

36, 534 
39.7 

35, 325 
40.9 

33, 186 

38.0 

18,417 
36.4 


3, 723 
2.3 

855 
1.3 

1,775 
1.9 

1,487 
1.7 

1,175 
1.3 

718 
1.4 


2, 808 
1.7 

1,344 
2.1 

3,385 
3.7 

3,124 
3.6 

3.101 
3.5 

1.724 
3.4 


135 


Percent 


I 


GROUP 11 

51 cities, 100,000 to 250,000; population 
7,567,000: 
Number 


568 


Percent _ 


<) 


GROUP III 

144 cities, 50,000 to 100,000; population 
10,094,000: 
Number 


569 




.6 


GROUP IV 

264 cities, 25,000 to 50,000; population 
9,290,000: 
Num))er ..- . . _ . 


1,385 


Percent 


1.6 


GROUP V 

671 cities, 10,000 to 25,000; population 
10,453,000: 
Number . ._ . _ _ . 


2, 485 


Percent-- 


2.8 


GROUP VI 

1,080 cities under 10,000; population 
6,099,000: 

Number - 


1.951 


Percent . 


3.9 






METROPOLITAN COUNTIES 3 

93 agencies; population 8,159,000: 

Number 


36, 495 
100.0 

32. 656 
100.0 


19,054 
52.2 

12, 517 
38.3 


15, 464 
42.4 

15,421 
47.2 


885 
2.4 

749 
2.3 


869 
2.4 

1,437 

4.4 


223 

.6 


RURAL COUNTIES 

564 agencies; population 8,072,000: 

Number 

Percent 


2,532 

7.8 



1 Traffic and neglect cases not included. 

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

3 Counties in standard metropolitan statistical areas as defined by the Bureau of the Budget. 



107 



Police Employee Data 

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

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



108 



Table 31. — Full-Time Police Department Employees, Decem,ber 31, 1962, 
Number and Rate per 1,000 Inhabitants, by Geographic Divisions and 
Popiilalion Groups 

[19G2 estiiuatod population] 





TOTAL 


Population group 


















(3,441 


Group I 


Grouj) II 


Group III 


Group IV 


Group V 


Group VI 


Geographic division 


cities; 


(.')2 cities 


(72 cities, 


(ISX cities. 


(3(i;RMti('s, 


(912 cities. 


(1,H24 cities 




population 


over 


100.000 to 


fiO.OOO to 


2.\000 lo 


10.000 to 


under 




101,285,000) 


2.")0,0()0; 
fiopulat ion 


2.')0,(H)0; 
liopulnlioii 


100,0(10; 
popiihilioii 


.""lO.OOO; 
population 


2.'), ()()(); 
popnliilioii 


10, 000; 
t)opii];ilion 






40,117,000) 


10,701,000) 


i;'),L'()7,{)()0) 


i2,74(i,000) 


14,004,000) 


9,y(JS,000) 


TOTAL: 3,441 cities; 
















population 101,285.000: 
















Number of police 
















employees 


192, 845 


102, 867 


17, 899 


20, 364 


18, 064 


19, 897 


13, 754 


Average number of 
















employees per 
















1,000 inhabitants 


1.9 


2.6 


1.7 


1.5 


1.4 


1.4 


1.4 


Rate range 


0. 1-9. 4 


1. 0-4. 4 


1. 1-2. 7 


0. 3-4. 1 


0. 2-3. 6 


0. 1-4. 8 


0. 1-9. 4 


New England : 312 cities; 
















population 7,378,000: 
















Number of police 
















employees 


14,373 


2,814 


2,684 


3,417 


2,359 


2, 161 


938 


Average number of 
















employees per 
















1,000 inhabitants- 


1.9 


4.2 


2.5 


1.9 


1.6 


1.3 


1.2 


Rate range 


0.2-5.9 


(0 


2. 3-2. 7 


1.3-2.8 


.9-2.8 


.5-2.4 


.2-5.0 


Middle Atlantic: 747 
















cities; population 
















23,435,000: 
















Number of police 
















employees 


56, 717 


38, 628 


3,047 


3,724 


3,477 


4,728 


3,113 


Average number of 
















employees per 
















1,000 inhabitants- 


2.4 


3.2 


1.9 


1.7 


1.7 


1.4 


1.3 


Rate range 


0. 1-5. 8 


1. 9-4. 4 


1. 3-2. 5 


. 5-3. 7 


. 6-3. 6 


. 1-4. 8 


. 1-5. 8 


East North Central: 771 
















cities; population 
















22,621,000: 
















Number of police 
















employees 


42, 486 


24, 605 


3,073 


4,148 


3,749 


3,995 


2,916 


Average number of 
















employees per 
















1,000 inhabitants. 


1.9 


2.7 


1.5 


1.3 


1.3 


1.3 


1.3 


Rate range 


0. 1-4. 6 


1. 0-3. 4 


1. 2-1. 8 


. 3-2. 4 


. 8-3. 3 


. 2-3. 4 


. 1-4. G 


West North Central : 
















388 cities ; population 
















7,367,000: 
















Number of police 
















employees 


10, 606 


4,390 


785 


946 


1,233 


1,699 


1,553 


Average number of 
















employees per 
















1,000 inhabitants. 


1.4 


2.1 


1.4 


1.1 


1.1 


1.2 


1.2 


Rate range 


0. 2-3. 8 


1. 4-3. 2 


1. 2-1. 8 


. 7-1. 4 


. 3-1. 6 


. 4-2. 3 


. 2-3. 8 


South Atlantic: 328 
















cities; population 
















10,130,000: 
















Number of police 
















employees 


20, 988 


9,214 


3,206 


2,805 


1,754 


2,375 


1,634 


Average number of 
















employees per 
















1,000 inhabitants. 


2.1 


2.9 


1.6 


1.8 


1.7 


1.6 


1.8 


Rate range 


0. 3-9. 4 


1. 4-4. 


1. 1-2. 4 


1. 2-4. 1 


. 8-2. 7 


. 4-2. 9 


. 3-9. 4 


East South Central: 142 
















cities ; population 
















3,767,000: 
















Number of police 
















employees 


5,785 


2,406 


796 


456 


839 


622 


666 


Average number of 
















employees per 
















1,000 inhabitants. 


1.5 


1.6 


1.6 


1.7 


1.4 


1.4 


1.5 


Rate range 


0. 5-3. 3 


1.^1.7 


1. 4-1. 8 


1. 5-2. 3 


. 9-2. 


.5-1.8 


. 5-3. 3 



See footnote at end of table. 



109 



Table 34. — Full-Time Police Department Employees, December 31, 1962, 
Number and Rate per 1,000 Inhabitants, by Geographic Divisions and 
Population Groups — Continued 

[1962 estimated population] 





TOTAL 


Population group 


















(3,441 


Group I 


Group II 


Group III 


Group IV 


Group V 


Group VI 


Geographic division 


cities ; 


(52 cities 


(72 cities, 


(188 cities, 


(363 cities, 


(942 cities, 


(1,824 cities 




population 


over 


100,000 to 


50,000 to 


25,000 to 


10,000 to 


under 




101,285,000) 


250,000; 


250,000; 


100,000; 


50,000; 


25,000; 


10,000; 






population 


population 


population 


population 


population 


population 






40,117,000) 


10,704,000) 


13,207,000) 


12,746,000) 


14,604,000) 


9,908,000) 


West South Central: 240 
















cities ; population 
















8,939,000: 
















Number of police 
















employees 


11, 774 


6,156 


1,460 


1,054 


1,186 


1,147 


771 


Average number of 
















employees per 
















1,000 inhabitants- 


1.3 


1.4 


1.4 


1.2 


1.1 


1.1 


1.2 


Rate range 


0. 2-2. 6 


1. 1-1. 8 


1. 1-1. 8 


. 7-1. 5 


. 8-1. 5 


.4-2.0 


. 2-2. 6 


Mountain: 169 cities ; 
















population 4,064,000: 
















Number of police 
















employees 


5,613 


1,529 


873 


870 


873 


724 


744 


Average number of 
















employees per 
















1.000 inhabitants- 


1.4 


1.4 


1.3 


1.5 


1.3 


1.2 


1.4 


Rate range 


0. 3-3. 6 


1. 2-1. 7 


1. 2-1. 5 


. 8-2. 8 


1. 0-2. 


. 4-3. 


. 3-3. 6 


Pacific : 344 cities ; 
















population 13,583,000: 
















Number of police 
















employees 


24, 503 


13, 125 


1,975 


2,944 


2,594 


2,446 


1,419 


Average number of 
















employees per 
















1,000 inhabitants. 


1.8 


2.1 


1.6 


1.5 


1.5 


1.5 


1.8 


Rate range 


0. 2-4. 1 


1. 2-2. 6 


1.2-2.0 


. 9-2. 7 


. 2-3. 5 


.6-3.7 


. 3-4. 1 


County police: 20 
















agencies; population 
















4,832.000: 
















Number of police 
















employees 


6,675 














Average number of 
















employees per 
















1,000 inhabitants. 


1.2 














Rate range ... ..- 


0. 4-3. 9 





























1 Only 1 city this size in geographic division. 

Population figures rounded to the nearest thousand, 
rounding. 



All rates were calculated on the population before 



Table 35. — Civilian Police Department Employees, December, 1962 Percentage 
of Total by Population Group 

[3,441 cities over 2,500; 1962 estimated population 101,285,000] 



Population group 


Percentage 

civilian 
employees 


Total, all cities 


9.9 








Group I (over 250,000) 


10 5 


(Over ], 000, (100) 


8 8 


(500, 0()()-l ,000,000).... 


11 7 


(250,0()0-5()(),000) 




14 1 


Grouj) 11 (1 00,000-250,000). . _ 




11 8 


Group 111 (50,000-1 00. 000) 




9 9 


(^Jroup IV (25,000-50,000) 




8 6 


Group V (10,000-25,000) 




6 7 


Group VI (2,500-10,000) 




9,8 


20 county police agencies... 




12 







110 



Table 36. — Number of Police Department Employees Killed, 1962, by Geo- 
graphic Divisions and Population Groups 





[;5,441 cities; 1«()'2 


estimated population 101,285,000] 








TOTAL 






Pop 


ilation fiTO 


up 


Geographic division 


Clroup I 


Group II 


Group III 


Group IV 


Group V 


Group VI 


County 
and 




Over 

250,000 


100,000 to 
250,000 


50,000 to 
100,000 


25,000 to 
50,000 


10,000 to 
25,000 


Under 
10,000 


State 
police 


TOTAL 


78 


21 


1 


8 


8 


8 


8 


24 






New E nj2land 

Middle Atl;m1:ic 


4 
13 
14 

4 

19 
4 
9 
3 

8 


1 

4 
3 
2 

6 






1 


1 
2 




1 




1 
1 


2 
2 




'Ei\'>t North Central 


1 


7 


West North Central 




1 


South Atlantic 

East South Central 


1 


1 

1 
2 


1 


1 

1 
2 




We'^t South Central 


3 
2 




1 
1 
3 


1 


Mountain 






Pacific 




2 


1 




2 













Table 37. — Assaults on Police Officers, 1962, by Geographic Divisions and 

Population Groups 

[3,434 cities; 1982 estimated population 99,093,000] 



Geographic division 


Assaults 


Rate per 

100 police 

officers 


Population group 


Assaults 


Rate per 
100 police 
officers 


TOTAL 


17, 330 


10.2 


TOTAL 


17. 330 


10.2 




Group I 
(Over 250,000) 




New England 

Middle Atlantic 


623 
3,952 
5,608 

555 

2,940 
441 

1.025 
567 

1,619 


4.7 
7.5 
14.7 
6.0 

16.1 

8.7 

9.9 

11.8 

8.9 


10,810 
1,441 
1,392 
1.280 
1,411 
99fi 


12.1 


East Nortli Central 


Group II 
(100,000 to 250,000) 




West North Central 


9.4 


South Atlantic _ .. 


Group III 
(50,000 to 100,000) 


7.7 


East South Central 


Group IV 
(25,000 to 50,000) 




West South Central 


7.8 


Mountain 


Group V 

(10,000 to 25,000) 




Pacific 


7.6 




Group VI 
(Under 10,000) 


8.0 









Table 38.—Full-Time State Police Employees, December 31, 1962, and State 

Police Killed 1962 



State poUce 


TOTAL 


Police 
officers 


Civilian 


Police 
killed 


Alaska . 


129 
680 
989 
279 

1,405 

1,159 

182 

995 

353 


85 
477 
652 
235 

1,108 
929 
117 
705 
272 


44 
203 
337 

44 

297 

230 

65 

290 

81 




Connecticut 


] 


Indiana 


1 


Maine 




Michigan 

New Jersey 




4 


Virginia 

West Virginia . 


1 
1 







111 



Table 39.- 



■Number of Full-time Police Department Employees, December 31, 
1962, Cities Over 25,000 in Population 



City 


Number of police department 
employees 


City 


Number of police department 
employees 




TOTAL 


Police 
officers 


Civihans 


TOTAL 


Police 
officers 


Civilians 


ALABAMA 

Aniiiston 


55 
48 
504 
49 
47 
91 
125 
293 
39 

85 

33 

44 

635 

44 

31 

284 

3r. 

27 

70 

41 

203 

82 

75 
90 

174 
66 

186 
43 

150 
97 
70 

168 
56 

100 
59 
73 
63 
50 
44 
32 
58 
46 
49 

275 

101 
47 

118 

163 
50 
85 
45 
50 

116 
43 
37 

602 

6, 149 

43 

45 

40 

m 


48 
48 
435 
48 
47 
88 
116 
238 
39 

62 

32 
40 

541 
41 
31 

227 
34 

24 
66 
40 
187 
80 

70 
76 

159 
58 

131 
34 

140 
90 
51 

137 
48 
87 
47 
66 
56 
42 
38 
30 
46 
40 
41 

248 
80 
43 
97 

141 
45 
72 
35 
46 
88 
36 
34 

519 
4. 800 
38 
37 
39 
60 


7 


CALIFORNIA— Cont. 

Monterey Park 

.Mountain View 

National City 

Newport Beach 

Oakland... . . 


58 
49 
49 
83 

786 
46 
65 
54 
66 
75 

205 
9 
95 
50 
67 
58 

155 

144 

345 
60 

185 
33 

854 
1,946 

300 
71 
91 

161 
97 
84 
46 
40 

167 
42 
81 
44 

171 

132 

80 
55 
36 

75 

30 
49 
45 
122 
894 
36 
41 
133 

391 
52 
72 
32 
58 

135 
68 

414 

48 
83 
46 
162 
406 
66 
134 


51 
44 
45 
65 

617 
40 
58 
46 
60 
72 

168 
9 
76 
44 
55 
51 

130 

116 

290 
46 

158 
26 

725 
1,715 

275 
57 
79 

119 
81 
76 
40 
36 

129 
38 
75 
35 

151 
63 

117 
71 
55 
29 
67 

25 
44 
41 
108 
749 
35 
32 
124 

367 
52 
69 
31 
58 

121 
67 

378 

44 
80 
45 
149 
382 
63 
124 


7 




5 


Birmingham 

Dotlian 


69 

1 


4 
18 


FlorpncG 


169 


Gadsden 


3 

9 
55 


Oceanside 

Ontario ... 


6 




7 


Mobile 


Orance 

Oxnard- .. ... 


8 




6 




23 

1 

4 

94 

3 


Palo Alto 


3 


ALASKA 


Pasadena 

Pleasant Hill 

Pomona 

Redlands-- 


37 




19 




6 


ARIZONA 

Glendale 


Redondo Beach 

Redwood City 

Richmond 

Riverside 


12 

7 
25 


Mesa 


28 


Plioenix 


Sacramento.. . 


55 






14 




San Bernardino 

San Bruno 


27 


Tucson 


57 
2 

3 

4 

1 

16 

2 

5 

14 
15 
8 
35 
9 
10 
7 

19 

31 

8 

13 

12 

17 

7 

8 

6 

2 

12 

6 

8 

27 

21 

4 

21 

22 

5 

13 
10 
4 
28. 
7 
3 

83 
1,349 
5 
8 
1 
9 


7 




San Diego 


129 


ARKANSAS 


San Francisco 


231 

25 


El Dorado. - 


San Leandro 


14 
12 


Fort Smith 


Santa Ana 


42 




Santa Barbara 

Santa Clara 


16 


Little Rock 


8 


North Little Rock-.. 


Santa Cruz. .. _ 


6 




Santa Maria 


4 


CALIFORNIA 


Santa Monica 

Santa Rosa 


38 

4 




South Gate . 


6 


Alhanibra 


South San Francisco 
Stockton 


9 


Analieim 


20 


Areadl:i 


Sunnyvale 


14 


Bakersficld 


Torrance 


15 


Baldwin Park 


Vallejo 


9 


Berkeley -- - 






Beverly Hills 




7 


Buena Park 


Whittier 


8 




COLORADO 




Clmla Vista 






5 


Costa Mesa . 




5 


Culver City _ . 


Boulder 


4 


Daly City 


Colorado Springs 


14 


El Cajon 


145 


El Cerrito 




1 


El Monte 




9 


Eureka. 


Pueblo 


9 


Fremont 


CONNECTICUT 

Bridgeport 








FuUerton 




(Jardena. 


24 


Garden Grove 


Dan bury 




(Jlendale 


East Hartford 

Enfield 


3 


Hawthorne- - . _ .. 


1 


Hay ward 


Fairfield 




Huntington Beach 


Greenwich . . 


14 


Huntington Park... . 




1 


Inglewood-. .. 


Hartford 


36 


La Ilabra 


Manchester Town- 
ship 




La Mesa 


4 


Long Beach 


Meriden 


3 


Los Angeles 


Middletown 


1 


Lynwood 


New Britain 

New Haven _ 


13 


Mahattan Beach 


24 


Menlo Park 


New London. 

Norwalk _ _ 


3 


Modesto 


10 



112 



Table 39. — Number of Full-time Police Department Employees, December 31, 
1962, Cities Over 25,000 in Population — Continued 



City 


Number of police department 
employees 


City 


Number of police department 
employees 




TOTAL 


Police 
oflicers 


Civilians 


TOTAL 


Police 
ofTicers 


Civilians 


Connecticut- 
Co ntinued 

Norwich 


51 
204 

70 

33 
266 
113 

69 

235 

3,133 

88 

83 

219 

46 

69 

92 

107 

504 

39 

94 

866 

279 

45 

156 

51 

121 

283 

57 

80 

557 

136 

54 
789 
143 
178 
154 

42 

54 
184 

35 

93 
667 

82 
107 

68 
69 
52 

52 
36 
85 
43 


48 
194 

66 

33 
257 
105 

68 

215 

2,845 

61 
63 
187 
33 
56 

88 
422 

37 

82 
618 
216 

41 
134 

42 
111 
226 

48 

68 
397 
113 

45 
683 
130 
168 
152 

38 

51 
149 

35 

88 
561 

78 
107 

61 
62 
44 

42 
30 
76 
41 


3 
10 
4 


ILLINOIS— Cont. 

Bloorni rigton 

Calumet City 

Champaign 


4.) 
22 
57 
11,835 
53 

113 
48 
89 
38 
97 
01 
41 

149 
26 
27 
38 
36 
28 
41 
87 
20 
37 
50 
39 
30 
86 
25 
38 
30 

159 
49 

159 
68 
88 

116 
26 
69 
24 
37 

49 

139 

73 

211 

249 

263 

173 

935 

60 

56 

51 

112 

64 

214 

106 

28 
42 
131 
34 
61 
110 
256 
64 
32 
32 
44 
37 
121 
102 


44 
20 
52 
10, 628 
49 

110 
38 
75 
38 
90 
52 
41 

117 
26 
27 
33 
36 
25 
34 

17 
37 
47 
35 
29 
77 
20 
35 
26 

146 
46 

144 
59 
77 
94 
23 
61 
23 
31 

40 

134 

67 

195 

241 

229 

159 

841 

60 

54 

48 

105 

57 

203 

103 

28 
34 
110 
34 
55 
102 
229 
63 
29 
27 
34 
34 
94 
94 


2 
2 
5 


Stratford... .. . _- 


Chicago 

Chicago Heights 

Cicero 


1.207 




4 


Watorbury 


9 

8 

1 

20 

288 

27 
20 
32 
13 
13 
15 
19 
82 

2 

12 

248 

63 

4 
22 

9 
10 
57 

9 

12 

160 

23 

9 
106 
13 
10 
2 
4 
3 
35 


3 


West Hartford 


Danville _ . . . 


10 




Decatur. .. .. 


14 




Des Plaines 

East St. Louis 

Elgin 




DELAWARE 


7 
9 


Wilniinston 


Elmhurst ._. _ 






Evanston . . 


32 


DISTRICT OF 


Evergreen Park 

Freeport 




COLUMBIA 






Galesburg 


5 


Washington 


Granite City 






1 


FLORIDA 


Highland Park 

Joliet- 


10 


Clearwater 


Lombard- _ ._ 


3 


Daytona Beach 






Moline. _ _ . _ 


3 


Fort Pierce 


Niles 


4 


Gainesville 


Oak Lawn 


1 


Hialeah 


Oak Park 


9 


Hollywood 


Park Forest 


5 




Park Ridge 


3 


Key West 


Pekin 


4 


Lakeland 


Peoria. 


13 


Miami 


Quincy- . ..- 


3 




Rockford . . 


15 




Rock Island 


9 




Skokie 


11 


Panama City..- 


Springfield 


22 




3 


St. Petersburg- 

Sarasota 


Waukegan 


8 


Wheaton 


1 




Wilmette.- 


6 


Tampa 


INDIANA 

Bloomington 

East Chicago 

Elkhart 




West Palm Beach. - 
GEORGIA 

Athens 


9 
5 
6 


Atlanta 


Evansville ... 


16 




Fort Wayne 


8 


Columbus 


Gary.. .... 


34 




Hammond 


14 


Marietta 


Indianapolis.. . _. 


94 


Rome 


Lafayette 




Savannah 


Michigan City 

Mishawaka 

Muncie 

Richmond 


2 


Valdosta 


3 


HAWAII 


5 

106 

4 


7 
7 




South Bend 


11 


Hilo 


Terre Haute... . 


3 




IOWA 




Kauai 




Maui 






7 
8 

10 
6 
9 
2 


Burlington 


8 


IDAHO 


Cedar Rapids 

Clinton 


21 


Boise 

Idaho Falls 


Council Bluffs 

Davenport 


6 

8 


Pocatello 


Des Moines . 


27 






1 


ILLINOIS 


Fort Dodge 


3 




Iowa City 


5 


Alton 


Mason City . . 


10 


Arlington Heigh ts_._ 
Aurora 


Ottumwa 


3 


Sioux City 


27 


BeUeville 


Waterloo 


8 



113 



Table 39. — Number of Full-time Police Department Employees, December 31, 
1962, Cities Over 25,000 in Population — Continued 



City 


Number of police department 
employees 


City 


Number of police department 
employees 


TOTAL 


Police 
officers 


Civilians 


TOTAL 


Police 
officers 


Civilians 


KANSAS 

Hutchinson 


42 
230 
32 
24 
23 
48 
155 
357 

38 
93 

147 

634 

61 

78 
59 

51 
279 
36 
46 
71 
30 
1,107 

32 
61 
71 
128 

3,412 
63 

65 

88 

39 

46 

64 

2,814 

125 

148 

237 

75 

91 

117 

251 

73 

70 

46 

75 

122 

145 

33 

34 

184 

119 

117 

50 

50 

43 

39 

243 

42 


36 
176 
27 
20 
23 
39 
144 
281 

37 

84 
135 
531 
50 
76 
59 

51 
247 
32 
44 
65 
30 
1.047 

31 
49 
65 
112 

3,077 
56 
62 

79 

38 

43 

61 

2,696 

119 

138 

228 

71 

88 

114 

234 

66 

44 
72 
120 
136 
31 
33 
174 
118 
113 
48 
48 
41 
38 
228 
42 


6 
54 
5 
4 
. 

11 

76 

1 
9 

12 
103 

11 
2 


MASSACHUSETTS- 
CO ntinued 

Norwood 


34 

81 
170 
87 
81 
168 
103 
34 
43 
47 
79 
42 
422 

48 

103 
85 
91 
39 

211 
48 
4. 856 
53 
25 
49 

310 
37 

276 
84 
34 

119 
90 

139 

182 
60 
70 
29 
31 
72 
67 

139 
58 
36 
54 
89 

155 
74 
41 
30 

150 

19 
61 
42 

37 
38 
17 
17 

144 
27 

790 
8 
32 
62 
16 
40 
31 

440 


34 

77 

162 

82 

76 

165 

100 

32 

41 

46 

77 

42 

371 

48 
86 
71 
87 
32 

185 
46 
4.395 
47 
24 
43 

263 
36 

234 
78 
32 

105 
78 

112 

165 
58 
63 
26 
29 
66 
59 

112 
46 
32 
50 
76 

144 
69 
31 
29 

136 

17 
58 
37 

35 
36 
16 
16 

127 
22 

728 
8 
31 
62 
15 
38 
29 

393 




Kansas City 


Pittsfield ..._ 


4 


Lawrence 


Quincy 


8 


Overland Park 


Revere 


5 


Prairie Village 


Salem 


5 


Salina 


Soniorvillc 


3 


Topeka___ 


Waltham 


3 


Wichita 


Welleslev 


2 




Westfield 


2 


KENTUCKY 


West Springfield 

Weymouth. 


1 
2 


Bowling Green 


Woburn 




Covington.., 


Worcester 


51 


Lexington 

Louisville 


MICHIGAN 

Allen Park 




Newport 




Owensboro- 




Paducah 


Ann Arbor 


17 


LOUISIANA 




Battle Creek 

Bay City- 


14 
4 


Alexandria _. _ 


Birmingham 


7 
26 


Baton Rouge 

IIouma__ _ 


32 
4 

2 
6 


Dearborn Township. 
Detroit 


2 
461 


Lake Charles 


East Detroit 


6 


Monroe 


East Lansing 

Ferndale 


1 


New Iberia. 


6 


New Orleans 


60 

1 
12 

6 
16 

335 

7 
3 

9 
1 
3 
3 
218 
6 

10 
9 
4 
3 
3 

17 
7 
1 
2 
3 
2 
9 
2 
1 

10 
1 
4 
2 
2 
2 
1 

15 


Flint 


47 


MAINE 


Garden City 

Grand Rapids 

Hamtramck 


1 

42 

6 


Auburn 


Hazel Park 


2 


Bangor 


Highland Park 


14 


Lewiston 


12 


Portland 


Ivalamazoo 


27 




Lansing 


17 


MARYLAND 


Lincoln Park 

Livonia 


2 
7 


Baltimore 


Madison Heights 

Midland 


3 


Cumberland . 


2 


llagerstown. ... . 


Muskegon 


6 




Oak Park 


8 


MASSACHUSETTS 


Pontiac 


27 




Port Huron .. . _ 


12 


Arlington 


Redford Township.. 
Roseville 




Attleboro 


4 


Belmont 


Royal Oak 


13 


]?everly 


Saginaw 


11 


Boston 


St. Clair Shores 

Southfield 




Brockton . 


10 


Brookline 




1 


Cambridge. . _ 


Warren 


14 


Chelsea _ 


Waterford 




Chicopee.. _ ... 


2 


Everett 




3 


Fall River 


W'yomino^ 


5 


Fitchburg 


MINNESOTA 

Austin 




Framingham 

Gloucester 




Haverhill 


2 


Hoi yoke.. . 


Bloomington 

Brooklyn Center 

Crystal 


2 
1 
1 


Lawrence 


Leominster. .. 


Lexington 


Duluth 

Edina 

Minneapolis 

Minnetonka 


17 

5 

62 


Lowell ... 


Maiden 


Medford 


Melrose - 


Richfield 

Rochester 


1 


Milton 


Natick 

Noodham 


Roseville 

St. Cloud 

St. Louis Park 

St. Paul 


1 

2 

2 

47 


New iicdford 

Northampton 



114 



Table 39. — Number of Fiill-tirne Police Department Employees, December 31, 
1962, Cities Over 25,000 in Population — Continued 



City 


Number of police department 
employees 


City 


NTumber of police department 
employees 




TOTAL 


Police 
ollicers 


Civilians 


TOTAL 


Police 
officers 


Civilians 


MISSISSIPPI 

Biloxi 


41 
79 
41 
275 
41 
35 

35 
49 
39 
81 
52 

1,122 
39 
112 

2.345 
117 
51 
30 

69 
62 
38 

38 

458 

214 
151 

46 

119 

59 

39 

218 
167 
34 

281 

48 
117 
41 
159 
69 
252 
57 
44 
48 
80 
85 
171 
107 
1,211 
120 
121 
4« 

30 

94 

1,426 


41 
6S 
39 
219 
38 
35 

30 

42 
34 

76 
38 
897 
37 
95 
1,809 
112 
48 
26 

63 
57 
30 

38 
392 

175 
119 

42 
114 
53 
38 

176 

157 

34 

239 

41 
113 
40 
159 
66 
240 
57 
41 
45 
77 
81 
170 
96 
1.071 
119 
121 
48 

30 

89 

1,294 




NEW JERSEY— Co nt. 

New Brunswick 

Nutley 


78 
50 
83 
54 

19 
123 
323 
42 
96 
91 
60 
40 
52 
285 
125 
85 
44 
51 
83 
79 

118 

286 
28 
45 
30 
49 
55 

258 
55 
42 
60 

152 
1,570 
67 
35 
27 
95 
61 
59 
41 
72 
69 
34 
52 
81 
64 
46 
54 

190 
60 

169 
26, 009 

191 
40 
31 
72 

607 
49 
56 

155 

405 
71 

142 

195 
55 


77 
48 
80 
54 

19 
114 

292 
36 
82 
86 
57 
40 
52 
257 
109 
84 
43 
50 
83 
79 

115 

243 

28 
34 
30 
40 
51 

216 
54 
38 
57 

139 
1,329 
63 
35 
27 
94 
57 
59 
36 
69 
68 
34 
45 
73 
64 
45 
49 

177 
59 

152 
24, 835 

172 
39 
30 
69 

520 
49 
55 

147 

357 
71 

136 

177 
54 


1 


Grocnvillp 


11 
2 

56 
3 


2 


Gulfpoit 




3 








Parsippany-Troy 

Hills Township.... 
Passaic 




Vipkshiire' 






5 
7 
5 
5 
14 

225 
2 
17 

536 
5 

I 
I 

8 


9 


MISSOURI 


Paterson 


31 




Pennsauken 


6 


Cape Girardeau 


Perth Amboy 

Plainfield 


14 
6 


Florissant 


Railway 


3 


Independence 






Teaneck Township.. 
Trenton ... . ... 




Kansas City 


28 


Kirlcwood 


Union City 


16 


St Josepli 


Union Township 

Vineland-. 


1 


St Louis 


1 




Westfield 


1 


University City 

Webster Groves 

MONTANA 


West New York 

West Orange 

Woodbridge Town- 
ship 






3 


Billings 


NEW MEXICO 

Albuquerque 

Carlsbad 




Great Fails 

Missoula 


43 






NEBRASKA 


Farmington.. 


11 




Hobbs 






RoswelL. . . ... 


3 




66 

39 
32 

4 
5 
6 

1 

42 

10 


Santa Fe 


4 


NEVADA 

Las Vegas 


NEW YORK 
Albany 


42 




Amherst. . .. 


1 




Amsterdam . 


4 


NEW HAMPSHIRE 


Auburn 


3 


Concord 


Binghamton 

Buffalo 


13 
241 


Manchester 


Cheektowaga 

Clarkstown 


4 


Mni^Vinfl 






Colonic Town 

Elmira 






1 


NEW JERSEY 


Freeport 


4 




Garden City 

Glen Cove. ..... 




Atlantic City 


5 


Greenburgh-. . 


3 


Bersenfield 


Hempstead 


1 


n n m fl pn 


42 

7 
4 
1 


Irondequoit 




Cherry Hill Town- 
ship 


Ithaca 


7 


Jamestown... . 


8 


Clifton 


Lackawanna 




Cranford Township. 
East Orange 


1 


Long Beach.. 


5 


Edison 


3 
12 


Mount Vernon 

Newburgh 


13 


Elizabeth 


1 




New Rochelle 

New York . . 


17 




3 
3 
3 
4 
1 
11 
140 
1 


1,174 


Garfield 


Niagara Falls 

North Tonawanda.. 
Orangetown 


19 


Hackensack 


1 


Hamilton Township 
Iloboken 


1 


Poughkeepsie 

Rochester. _ 


3 


Irvington 


87 




Rockville Centre.... 
Rome. ... 






1 


Linden 


Schenectady 

Syracuse 


8 


Long Branch 




48 


Middletown Town- 
ship 


Tonawanda Town.. 
Troy 




6 




5 
132 


Utica. 


18 


Newark 


Wa tertown 


1 



115 



Table 39. — Number of Full-time Police Department Employees, December 31, 
1962, Cities Over 25,000 in Population — Continued 



City 



NEW YORK— Conr. 



White Plains. 
Yonkers 



NORTH CAROLINA 



Asheville 

Bui'ltngton 

Charlotte 

Durham 

Fayetteville 

Gastonia 

Goklsboro 

Greensboro 

Hifjh Point 

Kannapolis 

Kinston 

Raleigh 

Rocky Mount . , 

Wilmington 

Wilson 

Winston-Salem _ 



Number of police department 
employees 



TOTAL 



NORTH DAKOTA 



Bismarck 

Fargo 

Grand Forks- 
Minot 



OHIO 



Akron 

Alliance 

Barberton 

Canton 

Chillicothe 

Cincinnati 

Cleveland 

Cleveland Ileights. 

Columbus 

Cuyahoga Falls 

Dayton 

East Cleveland 

Elyria 

Euclid 

Findlay 

Hamilton 

Kettering 

Lakewood 

Lancaster 

Lima 

Lorain 

Mansfield 

Maple Heights 

Marion 

Massillon 

Middle to .vn 

Newark 

Norwood 

Parma 

Portsmouth 

Sandusky 

South Euclid 

Springfield 

Toledo 

Warren 

Youngstown 

Zanesville 



OKLAHOMA 



Bartlesvillc. 
Enid 



145 
345 



112 

59 

368 

129 

78 

60 

39 

228 

93 

28 

48 

155 

60 

91 

41 

194 



302 
37 
34 

151 
31 

962 

,180 

67 

695 
48 

425 
70 
49 
71 
39 

100 
34 
71 
26 
79 
66 
71 
38 
36 
35 
72 
51 
47 
54 
57 
37 
31 

118 

544 
76 

301 
44 



Police 
officers 



143 
318 



107 
54 

325 

118 
72 
60 
38 

205 
88 
28 
39 

131 
51 
73 
40 

172 



282 
33 
33 

143 
29 

852 

,911 

65 

573 
47 

375 
63 
46 
70 
33 
97 
32 
65 
26 
70 
65 
68 
35 
34 
32 
69 
48 
47 
49 
55 
33 
28 

109 

503 
74 

278 
40 



Civilians 



1 

8 

2 

110 

269 

2 

122 

1 

50 

7 

3 

1 

6 

3 

2 



City 



OKLAHOMA— Cont. 

Lawton 

Midwest City 

Muskogee 

Norman 

Oklahoma City 

Shawnee 

Stillwater 

Tulsa 

OREGON 

Corvallis 

Eugene 

Medford 

Portland 

Salem 

PENNSYLVANIA 

Abington Township 

Aliquippa 

AUentown 

Altoona 

Baldwin Borough __. 
Bensalem Township 

Bethel Park 

Bethlehem 

Cheltenham Town- 
ship 

Easton 

Erie 

Harr isburg 

Haverford Town- 
ship 

Ilazleton 

Johnstown 

Lancaster 

Lebanon 

Lower Merion 

Township 

Millcreek Town- 
ship 

Mount Lebanon 

Township 

Philadelphia . . - _ 

Pittsburgh 

Pottstown 

Reading 

Ridley Township 

Scranton 

Springfield Town- 
ship 

Upper Darby 

Township 

West Mifflin 

Wilkes- Miirre 

Wilkinshurg 

Williamsport 



Number of police department 
employees 



TOTAL 



RHODE ISLAND 



Cranston 

East Providence- 
Newport 

Providence 

Warwick 



SOUTH CAROLINA 



Charleston. 
Columbia _ . 

Florence 

Green villc- 



70 
35 
50 
34 

374 
31 
26 

333 



28 



786 
75 



60 
31 
146 
105 
21 
22 
23 
102 

50 

54 

179 

161 



34 
83 
91 
40 

122 



39 
6,271 
1,534 
36 
189 
30 
187 



22 



103 

82 
82 
548 
115 



151 
165 
45 
135 



Police 
officers 



64 
32 
42 
34 

316 
31 
26 

282 



25 
63 
40 
667 
54 



60 
30 
132 
96 
16 
20 
18 
95 

49 

50 

172 

155 

56 
34 
76 
87 
39 

116 



35 


4 


5,697 


574 


1,489 


45 


34 


2 


156 


33 


24 


6 


173 


14 


19 


3 


135 


27 


28 




93 


1 


34 


8 


56 


4 


101 


2 


76 


6 


78 


4 


481 


67 


105 


10 


134 


17 


150 
42 


15 
3 



121 I 



116 



Table 39. — Number of Full-time Police Department Etnployees, December 31. 
1962, Cities Over 25,000 in Population — Continued 



City 


Number of police department 
employees 


City 


Vumber of police department 
em[)loyee.s 




TOTAL 


Police 
ofiicers 


Civilians 


TOTAL 


Police 
ofiicers 


Civilians 


SOUTH C ARO- 

LINA— Continued 


56 

82 

44 
79 

49 

43 

228 

835 

433 

36 

121 

198 
53 

345 
43 

139 
48 
61 
27 

195 

1,279 

35 

386 

606 
85 
31 
26 
49 
1,353 
37 
26 
25 
56 

183 
39 
97 

114 
38 
62 
92 
76 

718 
29 
37 
30 
68 
48 

121 

70 

40 

303 


51 

68 

41 

68 

48 
39 
182 
691 
392 
34 

109 

165 
52 

248 
40 

126 
40 
37 
26 

177 

1,087 

32 

351 

526 
78 
29 
25 
33 
1,149 
34 
26 
18 
53 

170 
34 
91 
92 
34 
54 
85 
72 

602 
27 
36 
29 
65 
40 

109 

63 
36 

258 


5 
14 

3 
11 

1 
4 

46 
144 

41 
2 

12 

33 

1 

97 
3 

13 
8 

24 
1 

18 

192 

3 

35 

80 
7 
2 
1 

16 

204 

3 


VERMONT 


47 

163 
219 

55 

90 
113 

90 
148 
457 

39 
130 
461 
132 

44 

54 

75 

1,035 

275 

258 

56 

36 

72 

124 
50 
94 

71 

56 
63 
51 

115 
50 

105 
74 

214 

54 

1,871 

66 

144 
77 
61 
60 
48 
78 

124 

53 
64 


43 

136 

196 

55 

82 

97 

83 

139 

415 

35 

119 

421 

126 

34 

47 

70 

903 

234 

237 

54 

32 

62 

103 
43 
92 

67 
53 
50 
45 

100 
46 
94 
68 

174 

50 

1,776 

64 

137 
74 
60 
57 
47 
75 

112 

39 

49 


4 


Rock Hill 


VIRGINIA 




Spivrtiuibursi 




SOUTH DAKOTA 


27 




Arlington 


23 


Rapid City 


Charlottesville 

Danville 




Sioux Falls -. ... 


8 


TENNESSEE 
Jackson .... 


Hampton 

Lynchburg 

Newport News 

Norfolk 

Petersburg 

Portsmouth 


16 
7 
9 

42 


Jolmson City 

Knowille 


4 
11 


Memphis ... . . 


40 


Nasliville _-. .. . 


Roanoke 


6 


Oak Rida,e 


WASHINGTON 

Bellingliam 




TEXAS 


10 






7 


Abilene. _ 


Everett 


5 


Amarillo 


Seattle 


132 


Arlington .. 


Spokane 


41 


Austin .- .. 




21 


Bay town.. . . 


Vancouver 


2 


Beaumont-- -. ... 


Walla Walla 


4 


Big Spring . . . .. 


Yakima 


10 


Brownsville 


WEST VIRGINIA 

Huntington 








Corpus Christi 

Dallas 


21 


Denton 




7 


El Paso 


WhpplinET 


2 


Fort Worth.. 


WISCONSIN 




Galveston 




Grand Prairie 

Haltom City... .. 


4 


Ilarlingen 


Beloit 


3 


Houston . . . 




13 


Irving 


Fond du Lac 


6 


Killeen 


15 


Kingsville 


3 
13 

5 

6 

22 

4 

8 

7 

4 

116 

2 

1 

1 

3 

8 

12 

7 
4 
45 


Janesville 


4 






11 


Lubbock 


La Crosse 


6 






40 




Manitowoc 


4 


Odessa 


Milwaukee ... 


95 




Oshkosh 


2 


Pasadena 


Racine 


7 


Port Arthur 


Sheboygan... ... 


'. 


San Angelo 


Superior 


: 






3 


Sherman 


Wausau . . 


] 


Temple 




3 


Texas City 


West Allis 


12 


Tyler. 


WYOMING 




Victoria 




Wichita Falls 


14 


UTAH 


Cheyenne 


It 


Ogden 






Provo 




Salt Lake City 





111 



Table 40. — Number of Fidl-time Police Department Employees^ 
December 31, 1962, Cities With Population Under 25,000 



City 


Number 

of police 

department 

employees 


City 


Number 

of police 

department 

employees 


City 


Number 

of police 

department 

employees 


ALABAMA 

Albertville 


17 
20 
12 
21 

4 

16 

20 
7 
6 
7 

16 
4 
3 
8 

20 
5 
8 

16 
9 
6 
4 
8 

19 

11 
9 

11 
5 
7 
9 

19 
9 
9 

11 

18 
5 

37 

42 
16 

7 

9 
8 

19 

14 

18 
9 

25 
8 
1 
9 
9 

16 
3 

23 
7 
5 

11 

8 
16 

3 
23 
11 
12 
22 

4 

5 


ARKAISTSAS— Cont. 
Morrilton.. . _ 


8 
12 
6 
5 

14 

10 

24 

8 

8 

22 

5 

9 

1 

25 

14 

7 

16 

11 

12 

40 

27 

6 

26 

21 

3 

11 

11 

1 

17 

16 

4 

6 

36 

4 

19 

15 

13 

30 

16 

10 

18 

7 

13 
10 
11 
3 
2 

30 
6 

11 
5 

25 

22 
8 
7 

16 
3 

12 

13 
6 
8 

42 
7 

22 
5 

25 
1 
7 

21 
2 

11 


CALIFORNIA-Cont. 
Fontana 


23 


Alexander City 


Paraffould 


Fort Bragg 


10 


Rogers _ 


Fortuna 


7 


Auburn 


Siloam Springs 

Springdale_. 


Gait 


3 




Gilrov 


17 




Stuttgart 


Glendora 


29 


Chickasaw 


Texarkana. 


Gonzales .. 


4 


Fairfield 


Walnut Ridge 

Warren 


Grass Valley 

Gridley. 


11 


Fairhope 


6 




CALIFORNIA 

Albany. 


Hanford 


22 


Florala 


Healdsburg 

Hemet-. 


12 
12 




Plermosa Beach 

Hillsborough 

Hollister 


31 


Graysville 


Alturas 


16 


Hartselle 


Anderson 


13 


Homewood 


Angels Camp 

Antioch. 


Holtville 


10 




Huron 


3 








8 


Jasper 


Arvin . _ _ 


Imperial Beach 

Indio 


17 




Atherton.. ... .. 


27 


Leeds 


Atwater 


lone 


2 




Auburn. . 


Isleton .. 


2 


Midfield 


Azusa ... 


Jackson 


5 






Kensington . . 


8 




Beaumont 


Kerman . . 


4 




Bell 


King City 


10 


zark 


Belmont 


Kingsburg 


8 


Plcasont Grove 

Prattville 




Laguna Beach 

Larkspur ... 


25 


Benicia 






Bishop 


La Verne.. 


11 


Sheffield 


Blue Lake .. 


Lemoore .. 


6 




Blythe 


Lindsay 

Live Oak 

Livermore 


8 


Tarrant Citv 


Brea 


4 


Troy 


Brentwood 


21 




Broadmoor . 


Livingston . 


6 


Union Springs 




Lodi 


37 


Calistoga .. 


Lompoc 

Los Alamitos 

Los Altos 


25 


ALASKA 


Campbell 


12 




Carlsbad 


18 






Los Banos. . 


13 


Tnnpnn 


Chico 


Madera 

Manteca 

Martinez... 


25 


Ketchikan 


Chino 


16 


Kodiak 


Chowchilla.. 


17 








30 


ARIZONA 


Cloverdale 


McFarland 


9 




Clovis 


Mendota 

Merced 

Millbrae 

Mill Valley 


5 


Aio 


Coachella 


37 


Avondale 


Coalinga 


18 




Colfax 


13 


Casa Grande 


Colma 


Jvlontclair 


21 


Chandler 


Colton 


Monterey 

Mount Shasta 

Napa 


52 


Eloy 


Colusa 

Corcoran . 


10 


FlagstafT 


34 


Holbrook 


Corning 


Needles.- 


9 






Newark.. _ . .. 


15 




Coronado 


North Sacramento.. 
Novato 


21 


Miami 


Corte Madera 

Crescent City 

Cypress 


13 




Oakdale . ... 


8 


Peoria 


Ojai 


11 


Prescott 


Dairyland 


Orange Cove 

Orland 


6 


Safford 


Davis 


8 


Tolleson 




Oroville . . . 


20 


Williams 


Dixon 


Pacifica 


19 


ARKANSAS 


Dunsmuir 

El Segundo 


Pacific Grove 

Palm Springs 

Palos Verdes 
Estates 


15 
60 




Elsinore 




Arkadelphia 


Emeryville 


21 






Parlier. _ . 


4 


Clarksville- . 




Paso Robles 

Patterson. ... 


16 


Fayetteville 


Etna 


4 


Helena. 


Exeter 


Penis 


5 


Hope 


Fairfield 


Petaluma. .. 


21 






Pinole . ... . 


13 


Mena 


Fillmore 


Pittsburg .- 


29 


Monticello 


1 Folsom . 


l^lacentia 


11 



118 



Table 40. — Number of Fiill-lirne Police Department Employees, 
December 31, 1962, Cities With Population Under 25,000 — Continued 



City 


Number 

of police 

department 

employees 


City 


Number 

of police 

department 

employees 


City 


Number 

of police 

department 

employees 


CALIFORNIA— 
Continued 

Placervillc 


8 

20 

16 

2 

18 

35 

13 

26 

4 

6 

5 

2 

23 

6 

16 

27 

21 

34 

40 

14 

8 

33 

28 

31 

39 

26 

12 

23 

28 

11 

It 

13 
5 
6 
8 

30 

22 

21 

5 

8 

9 

22 
26 
2 
17 
21 

38 

24 

16 

27 

31 

13 

29 

4 

2 

5 

11 

4 

22 

8 

21 

8 
6 
5 
8 
9 

11 
5 

15 


COLORADO -Cont. 

Fort Morgan 

Glenwood Springs.. 
Golden 

Grand Junction 

Gunnison 


13 
7 
10 
32 
10 
5 
9 
13 
6 
22 
17 
16 
7 
6 
6 
7 
9 
14 
8 
17 

6 
15 
25 
13 
10 

6 
36 
25 
16 
15 

2 
22 
12 

8 
33 
24 
22 
24 

1? 

13 

9 

8 

16 

6 

23 

6 

25 

19 

21 

10 

43 

30 

20 

6 

14 

12 

9 

24 
13 
18 
9 
6 

4 
8 
10 


FLORIDA— Cont. 

Bay Harbor Islands. 

Belle Glade 

Biscayne Park 

Boca Raton.. 


13 
20 




,5 




22 


Portola 


Boynton Beach 

Bradenton.. . 


21 


Red Bluff 


Julesburg 


32 


Redding 

Reedley . 






5 


Lamar. . 


Dade City 


10 


Rialto 


Lead ville 


Dania 


15 




Littleton 


De Land 


22 


Ripon 


Longmont 

Loveland 


Eau Gallic 

Eustis 


25 


River bank.. 


11 


Rocklin 


Monte Vista 

Montrose 


Fernandina T3each.. 

Florida City 

Fort Meade 


10 




4 


St. Helena 


Rocky Ford 

Salida 


5 




Fort Myers 


48 


San Carlos 


Thornton 

Trinidad 

Walsenburg 

Westminster 

CONNECTICUT 

Bethel 

Bloomfield- 


Gulfport 


12 


San Clemente 

San Fernando 


liaines City 

Holly Hill 


13 

8 


San Gabriel. -- . . 


Kissimmee 


14 


Sanger 


Lake City 


23 


San Jacinto 


Lake Park 


9 




Lake Wales . 


14 


San Marino. . 


Lake Worth 

Lantana 


41 


San Pablo 


6 


San Rafael 


Branford 


Maitland 


8 


Santa Paula 






4 


Sausalito 


Clinton 


Marianna 


10 


Seal Beach 




Miami Shores 

Miami Springs 


29 


Seaside 


Darien 


29 






10 


Selma. 


Farmington.. 


New Smyrna Beach. 
North Bay Village.. 
North Miami 
Beach . .. 


20 


Shafter 

Sierra Madre 


Glastonbury 

Granby 


9 


Soledad 


Groton Borough 

Guilford 

Monroe 

Naugatuck 

New C anaan 

Newington 


36 


Sonoma 

Sonora 

South Pasadena 


North Palm Beach. 

Oakland Park 

Ocala 


3 

14 
27 


Stanton 




21 


State Harbor Police 


Ormond Beach 

Palatka . 


19 


Suisun City 

Susan ville 

Taft 


North Haven 

Old Saybrook 

Orange 

Plainville 

Putnam 

Ridgefield 


15 


Palm Beach 

Palmetto 


63 
12 


Tracy 


Palm Springs 


4 


Tulare. . 


8 


Tulelake 


Pinellas Park 

Plantation... 


18 


Turlock 


Rockviile. . 


9 


Ukiah 


Rocky Hill 


Plant City 


23 




Shelton.. 


Pompano Beach 

Quincy 


44 


California 


Simsbury 


12 


Upland - 


Southington 

Stonington 


Riviera Beach 

Rockledge 


27 


Vacaville 


5 


Visalia 


Trumbull .. 


Safety Harbor 

St. Cloud 


4 


Wahiut Creek 


Waterford 


5 


Wasco. 


Westport 


St. Petersburg 
Beach 




Watsonville 


Wether sfield 

Willimantic 


19 


Weed 


Sanford 


25 


Westmorland 


Wilton 


South Miami 

Starke 


26 


Williams 


Windsor Locks 

Wolcott 

Woodbridge 

DELAWARE 
Dover 


10 


Willits - 




16 


Woodlake 


Tarpon Springs 

Treasure Island 

West Miami 

Winter Haven 

Winter Park 

GEORGIA 

Adel. 


11 


Woodland 


11 


Yreka City 


8 


Yuba City 


35 




23 


COLORADO 


Milford 




Alamosa ... 


Newark 

Seaford . 




Brighton 


Smyrna 

FLORIDA 
Apalachicola 


7 


Broomfield 


Americus 


18 


Brush 


Bainbridge 


17 


Commerce City 




6 


Cortez 


Bremen 


5 


Delta... 




7 


Durango 


Auburndale 


Carrollton 


16 



119 



Table 40. — Number of Full-time Police Department Employees, 
December 31, 1962, Cities With Population Under 25,000 — Continued 



City 


Number 

of police 

department 

employees 


City 


Number 

of police 

department 

employees 


City 


Number 

of police 

department 

employees 


GEORGIA— Cont. 

CartersviHe 


17 
18 
28 
16 
15 
12 
28 
42 

6 
42 

7 

6 
20 

5 

6 

3 

7 

8 
25 
12 
30 

13 

4 
12 
19 

6 

6 

4 

8 

9 
22 

5 
16 
14 
23 

6 

6 1 

4 

11 ; 

8 
3 
3 

26 
5 
7 

11 
14 

6 

9 
23 
10 

5 

2 

7 
23 

5 
14 
16 
16 
14 

8 

3 

2 
17 
11 

6 „ 

7 

3 

8 


ILLINOIS— Cont. 

CoUinsvi'ie 


15 

i 

it 

26 

14 

16 

26 

2 

3 

11 

21 

11 

7 

12 

21 

3 

8 

4 

9 

7 

18 

9 

6 

9 

4 

18 

22 

24 

2 

5 

9 

9 

6 

6 

4 

16 

11 

16 

6 

20 

12 

1 

11 

3 

31 

21 

23 

5 

12 

17 

6 

12 

15 

19 

5 

6 

13 
7 

13 
13 
15 
15 
2 
5 

4 
10 

3 
38 
10 

7 
11 

4 


ILLINOIS-Ccnt. 

Monmouth 

Morris 


11 




Columbia. 

Country Club Hills. 
Crest Hill . . 


7 


Decatur 

Douglas 

Dublin 


MorrLson 

Morton. 


4 
5 


Deerfield 


Morton Grove 

Mount Carmel 

Mount Prospect 

Mount Vernon 

Mundelein 

Naper\ille 


27 


Elberton 


De Kalb 


8 






23 


Griffin 


Dixon 


17 


Jackson 


Downers Grove 

Dupe 

Dwisht 

East Alton _.... 

East Moline 

Edwardsville 

Effin^-ham 


15 


La Gran"'e 


17 




Nashville 


3 




Newton . . 


4 


Milled Seville 


Nokomis 


3 


Nashville 


Normal- ... . 


12 


Roswell 


North ):)rook 


IS 


St. Marys 

Sanders'ille . _ 


Elk Grove Village.. 

Elmwood Park 

Eureka 


North Chicago 

North field 


19 
10 


Summer^ille 


Northlake 


16 




Fairfield . 


North Riverside.... 

O'Fallon 

Oglesby..-- 


13 


Toccoa 


Fairmont City 

Flora 

Flossmoor 


4 
5 




Olnev 


9 


IDAHO 


Franklin Park 

Galena ... 

Geneseo 

Geneva 


Orland Park 

Ottawa 


2 
23 


Blackfoot 


Palatine 


20 


Buhl 


Palos Park 

Pana 


10 


Burley 

Caldwell 


Gibson City 

Glencoe 


6 


Paris 


11 


Emmett. 


Glen Ellyn 


Paxton . . _ . 


4 


Garden City 


Glenview ._ 


Peoria Heights 

Peru - 


8 






14 


Jerome 


Harvard 


Pittsfield 


4 


Kellogg 


Harwood Heights... 
Havana 

HiErhland 


Piano 


3 


Lewiston. 


Polo 


2 


Montpelier 


Princeton 


5 


Moscow 






19 


Mountain Home, 


Hillsboro 


Riverdale- 


12 


Nampa 


Hinsdale 


River Forest 

River Grove 

Riverside 


25 


Payette 

Preston 


Hoffman Estates. _.. 
Homewood 


12 
16 


Rexburg 


Itasca 

Jacksonville 

Jerseyville 




9 


Rnnert 


Robinson 


6 


Sandpoint 


Roehelle 


10 


Shelley 




Rockdale 


3 


Soda Springs 


Kenilworth 


Rock Falls 


20 


Twin Falls 




Rolling Meadows... 
Romeoville 


16 


Wallace 


La Granyo 

La Grange Park 

Lake Forest 

Lake Zurich 

Lansing 

La Salle 




Weiser_. _ 


Roselle 


4 


ILLINOIS 


Round Lake Beach. 
St Charles 


6 
13 






10 


Addison,-. . 


Sandwich 


4 


Barrington 


Lawrenceville 

Libertyville 


Schiller Park 

Silvis 


11 


Barton ville 


10 


Batavia 




3 


Bellwood 


Lincolnwood 

Lisle 


Steger 


2 


Belvidere. 


Sterling 


18 


Berkeley 


Litchfiold 


Stone Park 


10 


Bethalto 


Lockport 


Streator 


19 


Bridge view ... 




Sullivan 


5 


Brookfield 


Lyons 


Summit 


14 


Bushnell. 






2 


Cahokia . . 


Madison 


Sycamore 


7 


Cairo. ...... 




Taylorville -.. 


10 


Canton. 


Marquette Heights- 
Marshall. 

Mascoutah 


Thornton 

Tinley Park 

Tuscola 


1 


Carbondale 


8 


Carmi 


3 


Gary 






7 


Casey ville.. 


McHenry 

McLeansboro 

Melrose Park 

Mendota 


Venice 


15 


Contralia 


Villa Park 


24 


Charleston 


Virden 


2 


Chester. 


Washington 

Washington Park... 
Watseka 


7 


Chillicothe.- 


3 


Christopher 


Midlothian 


10 


Clarendon Hills 


Milan--.. 


Wauconda. 


5 



120 



Table 40. — Number of Full-titne Police Department Employees, 
December 31, 1962, Cities With Popululion Under 25,000 — Continued 



City 


Number 

of police 

department 

employees 


City 


Number 

of police 

department 

employees 


City 


Number 

of police 

department 

employees 


ILLINOIS— Cont. 

Westchester 

West Chicago 

\Vp«t P)nnflpp 


17 
9 
3 

19 
2 
9 
8 
24 
1 
5 
12 
10 
13 

6 
9 
8 
4 
22 
9 
2 

4 

12 
4 
5 

10 

10 

9 

27 

2 

3 

23 

9 

12 

4 

3 

9 

2 

24 

9 

5 

21 

16 

12 

6 

9 

18 

4 

23 

3 

5 

21 

8 

5 

32 

11 

12 

31 

16 

6 

5 

12 

13 

40 

9 

15 

3 

23 

8 

13 

12 

12 

4 


INDIANA-Cont. 

Rochester 

Rockville 

Rushville 

Scottsburg 


7 
4 
12 

2 
14 

22 
14 
3 
6 
8 
21 
23 
20 
13 
21 
27 

8 
4 
3 
3 

12 
4 

15 

21 
9 
5 

14 
9 

12 
8 
4 
5 
3 
7 

10 

17 
3 
7 
8 
5 
3 
4 

10 
6 

11 
5 

23 
6 
9 
5 

10 
8 

22 
4 
4 

10 

22 
4 

17 

16 
7 
3 

11 
6 

11 

10 
3 
3 
4 
8 
3 


IOWA— Continued 

Spencer 


11 


Spirit Lake 


f, 


Storm Lake 


<) 


Western Springs 

Westville 


Tama 


3 


Bellersburg .. 


Urban dale . _ 


4 


White Hall 


Seym.our. 


Waverly. 


11 


Wilniino-foTi 


Rhelbyville 


Webster City 

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

KANSAS 

Abilene 


10 






3 


Winthrop Harbor..- 
Wood Dale 


Spencer 


10 


Tell City 


3 


Wood River 


Tipton 












Vincennes .. 






Wabash 


11 


INDIANA 




Anthony.. ... . 


4 


Angola 

Auburn 


W^est Lafayette 

Whiting 


Arkansas City 

Atchison 

Augusta 

Baxter Springs 

Belleville 


19 
17 


IOWA 

Algona 


16 




6 


Batesville 




Bedford 


Beloit 


4 








4 


Berne 


Ankenv 


Chanute .. 


13 


Bicknell 


Audubon 


Cherry vale 


3 


Brazil 


Bettendorf 


Clay Center 

Coffeyville 


5 


Brookville 


Bloomfield 


24 






Columbus. _- -- . 


3 


Clarksville 


Cedar Falls 


Concordia . 


8 


Clinton 


Centerville 


Council Grove 

Derby 


4 


Columbia City 

Connersville 

Corydon 


Chariton 


10 


Charles City 

Clarinda 


Dodge City 

Douglass. 


18 
I 




Clear Lake 


El Dorado 


13 


Crawford^ ville 


Decor ah 


Ellin wood.. . 


4 


flrnwri Pninf 


Dyersville 


Ellis 


4 


Decatur 


Eagle Grove 

Eldora 


Emporia.. 


19 


Dunkirk 


Eureka. 


8 


Dyer 


Evansdale 


Fairway 


<) 


East Gary 


Fairfield 


Fredonia 


5 




Fort Madison 


Garden City 

Garnett 


16 




7 


Garrett 


Grinnell 


Good land 


8 


Gas City 


Hampton 

Harlan 


Great Bend 

Hays 


25 


Goshen 


14 






Herington . 


6 


Greensb'urg 


Humboldt 

Independence 

Indianola 


Hiawatha. 


6 




Hoisington 


5 


Griffith 


Holton 


4 


Hobart 


Iowa Falls . .. . 


Horton. 


8 


Huntingburg 

Huntington . 


Jefferson 

Keokuk 

Knoxville 

Le Mars 

Manchester 

Maquoketa 

Marion 

Marshalltown 

Missouri Valley 

Monticello 


Humboldt 


4 


Independence 

lola 


14 


Jasonville 


11 


Jasper 


Junction City 


22 




f! 




Larned 


5 


Knox 


Leavenworth 

Leawood 


21 


La Porte 


7 




Liberal . 


17 


Lebanon 


Lyons. . . 


1 


Logansport 


Mount Pleasant 

Muscatine 

Nevada 

Newton 

Oelwein 


Manhattan .. _ 


27 




Marysville. 


5 


Mitchell 


McPherson 

Mulvane. 


15 




3 


Mount Vernon 


Osawatomie 

Ottawa 


() 




Osage 

Osceola 


13 


New Castle 


Paola 


() 


New Haven 


Oskaloosa 


Parsons 


r; 




Pella 

Perry 

Red Oak 


Pittsburg- - 


24 


Oakland City 

Peru 




2 


Pratt 


10 


Plainfield 


Rock Rapids 

Sac City 


Roeland Park 

Russell 


7 


Portase 


<1 


Portland 




Shawnee . 


8 


Princeton... . 


Shenandoah 

Sibley 


Valley Center 

WaKeeney 


3 


Rensselaer 


3 



688788°— 63- 



121 



Table 40. — Number of Full-time Police Department Employees, 
December 31, 1962, Cities With Population Under 25,000 — Continued 



City 


Number 

of police 

department 

employees 


City 


Number 

of police 

department 

employees 


City 


Number 

of police 

department 

employees 


KANSAS— Cont. 
Wellington 


14 
13 

8 

6 

5 

5 

10 

17 

3 

12 

5 

14 

34 

8 

8 

9 

16 

7 

10 

4 

35 

3 

6 

6 

9 

22 

17 

3 

10 

14 

12 

3 

5 

9 

8 

16 

16 

oo 

"3 

9 

10 

19 

13 

4 

7 

13 

8 

4 

24 

18 

3 

13 

15 

8 

26 

3 

7 

26 

34 

15 
9 
17 

3 


MAINE-Cont. 

Dover-Foxcroft 

Falmouth 


2 
1 
9 

8 
1 
9 
3 
9 

6 

8 

11 

5 

3 

14 

14 

13 

11 

15 

7 

35 

3 

1 

22 

14 

9 

3 

1 
4 

10 

53 

6 

5 

4 

18 

8 

2 

13 

6 

35 

10 

9 
15 
11 

39 
22 

1 

32 

13 
9 
5 

18 

25 

13 

12 

2 

17 

10 

4 

8 

33 

15 

5 

4 

18 

9 

20 


MASSACHUSETTS- 
Continued 

Chatham 




Winfield 


9 




Fort Kent 


Clinton 


20 


KENTUCKY 




Cohasset . .. .. 


12 






Concord... . _ 


20 




Houlton. .... 


Dalton 


6 


Belle vue 


Lisbon Falls 

Madawaska 

Millinocket 


Danvers .. . 


22 




Dartmouth 


14 




Dedham 


37 


Cynthiana 

Danville 


Old Orchard Beach. 
Old Town 


Dennis 


13 


Dracut 


10 


Earlington 

Eli7,abethtoA\Ti . 


Orono 

Pittsfield 


East Bridgewater... 

Easthampton 

East Longmeadow.. 
E aston 


5 
16 


Flatwoods 


Presque Isle 

Rockland 

Rumford 

Saco 


15 


Fort Thomas 


9 


Frankfort .. 


Fairhaven 

Falmouth 


15 


Franklin 


25 


Fulton 


San ford- . 


Foxborough 

Franklin 

Gardner 


9 


Georgetown 


Skowhegan 


11 




South Portland 

Topsham 

Waldoboro 


29 


Greenville- 


Georgetown 

Great Barrington... 
Greenfield 


2 


Harlan 


8 


Highland Heights.. 
Hopkinsville 


Waterville 


30 


West brook 


Groveland 


1 




Winslow 

Winthrop--- 


Hamilton 


6 


Lancaster 


Harwich 


7 


Lawrenceburg 


Yarmouth 


Hingham 


32 




York 

MARYLAND 

Aberdeen 


Holbrook... 


9 


Mayfield 


Holliston 


7 




16 


IVIonticello . 


Hull 


25 


Alount Sterling 


Ipswich 


12 








6 


Paris 


Bel Air 


Lincoln. ... 


5 


Park Hills 


Bladensburg 


Littleton 


4 


Prestonsburg 




15 


St. Matthews 


Camlii'idge 


Lvnnfield 


15 


Scottsville.. _ 


Crisfield 


Mansfield .- 


8 


Shively 


District Heights 

Easton 


]Marhlehead 

Alarlboro 


28 


Somerset 


25 




Elkton 


^larshfield 


15 


LOUISIANA 


Frederick 


M attapoisett 

Medfield 


10 




Frostburg 


8 


Bastrop 


Greenbelt 

Havre de Grace 

Hvattsville 


A I err i mac 


2 


Delhi 




18 


De Ridder 


Milford 


23 


Donaldsonville . 


Mount Rainier 

Pocomoke City 

Salisbury. 


Millbury 


9 


Eunice 


Millis 


5 


Hammond .. 




9 


Havnesville. . 


Takoma Park 

Thurmont 


Nantucket 


10 


Tonesboro 


Newburyport 

North Adams 

North Andover 

North Attleboro 

Northboro 


19 


Xaplan 

.Mamou 

Alarksville 


University of 
Maryland 

MASSACHUSETTS 

Abington 

Acton.- . 


31 
17 
21 


Morgan City . . 


5 


Natchitoches 

New Roads... . 


Nor thbridgo 

North Brookfield... 

North Reading 

Orange 


12 
2 


Plaquemine. . . 


11 


Ruston.. 


Acushnet 


6 


Springhill 




Oxford 


10 


Thibodaux ..- 


Agawam 


Palmer 


11 


Vivian 




Pembroke 

Plainville 


fi 


Welsh 


Amherst 


3 


West Monroe 


Ashburnham 

.\thol 


Plvmouth 


26 




Provincetown 

Reading 


10 


MAINE 


Auburn 


34 




Avon - . 


8 


Augusta 


Aver 


Rowley 


1 


Bath. 


Barnstable 




10 


Brewer 


Bedford 




27 


Brunswick 


Bellingham. 


Scituate 


29 


Calais 


lilackstone 


Seekonk 


12 


Camden 


liourne ... 




14 


Cape Elizabeth 


Bridge water 

Burlington 


Somerset. . . 


11 


Dexter 


South borough 


3 



122 



Table 40. — Number of Full-time Police Department Employees, 
December 31, 1962, Cities U ith Population Under 25,000 — Continued 



City 


Number 

of police 

dei)artinent 

emi)loyees 


City 


Number 

of police 

department 

employees 


City 


Number 

of police 

department 

employees 


MASSACHUSETTS— 
Continued 


30 
13 
3 

29 

21 

2 

9 

28 

10 

18 

1 

5 

1 

37 

11 

20 

24 

5 

10 
14 
12 
20 
38 
32 
16 

29 
17 
4 
5 

13 
20 

9 

2 

5 
37 
2o 

4 

14 
11 

2 
11 

4 
13 

3 

16 

8 

8 

4 

17 

14 

1 

4 

3 

10 

12 

49 

22 

6 

16 

8 

8 

3 

1 

4 

6 

16 

7 

6 

9 


MICHIGAN-Cont. 

Grosse Pointc 

Grosse Pointe 
Farms. . . 


18 

28 
32 

39 
6 

31 

10 
8 

33 
7 

15 

11 
5 

16 
7 

11 
4 
4 

12 
2 
5 
4 

22 

11 
7 
4 

24 

14 

29 

8 

37 

33 

4 

6 

31 

13 

5 

28 

2 

4 
6 

28 
8 

10 
4 
8 

15 
8 

45 

14 
3 
4 
7 
2 

4 

22 

"5 

28 

13 

1 

3 

3 

14 

6 

8 

13 

22 

37 

4 

4 


MICHIGAN-Cont. 
Wayne 


33 


Soutlibridii'e 


Whitehall 


3 


South lladlcy 

Spencer 


Ypsilanti 


38 


Grosse Pointe Park. 
Grosse Pointe 
Woods 


Zeeland. 


3 


Stoneham 


MINNESOTA 
Albert Lea 




Stoug'hton 




Stow 


Hancock 




Sudbury 


Harper Woods 

Hastings 


25 


S wampscott 

Swansea 


Alexandria 




Hillsdale 


Anoka 


14 


Tewksburv 


Holland 


Arden Hills 


9 


Topsfield 

Tyngsborough 

Upton 

Wakefield 


Howell 




4 


Huntington Woods. 

Lon Mountain 

Iron River 


Babbitt 


2 


Bayport 

Bemidji 


3 

16 








5 




Lake Orion. 


Brainerd 


17 


Webster 


Lapoer ... . . 


Breckenridge 

Brooklyn Park 

Chisholm. 


6 


West Bridge water.. 
Westport 


Lathrup Village 

Laurium 


6 
14 


Ludington 

Mackinac Island 

Manistique 


Cloquet 


12 


Whitman 

Wilmington 


Columl)ia Heights.. 

Coon Rapids 

Crookston 


14 

10 


A^inphostpr 


Marine City 

Marquette 

Marshall 


16 


Winthrop 


Crosby. 


4 


Yarmouth 


Deephaven .. 


2 




Delano . _ 


9 


MICHIGAN 


Mason 

JNIelvindale 

iNIenominee 


Detroit Lakes 

Ely 


8 
11 


Adrian 


Eveleth 


11 


Albion 

Algonac 


Michigan State 

University 

Mil ford 


Falcon Heights 

Faril)ault 


3 
20 


Allegan 


Fergus Falls 

Fridley 


14 


A^ma 


Monroe 


12 




Mount Clemens 

Mount Morris 

Munisinc 


Glenwood... 


10 


Battle Creek Town- 
ship 


Golden Valley 

Grand Rapids 

Hastings 


14 

8 


Bedford Township. 


Muskegon Heights. 


9 


Hibbing 


25 


Bpnton TTnrbfir 


New Baltimore 

Niles 


Hoi)kins 


15 


Berkley 


Hoyt Lakes--- 


3 


Bessemer 


North Muskegon... 
Northville 


Hutchinson.. _ . 


5 


Beverly Hills 


International Falls . 
Jackson- -_ . 


10 


Big Rapids 


Norway 

Novi 


5 


Blissfield 


Lake City 

Le Sueur.. . 


4 


Bloomfield Hills 


Owosso 


4 


Boyne City 


Oxford 

Petoskey 


Little Falls 


8 


Cadillac 


Mankato. . 


31 


Caro 


Plainwell 

Pleasant Ridge 

Plymouth 


Marshall 


11 


Caspian 


Mendota Heights... 

Montevideo 

Moorhead 


1 


Center Line 


8 


Charlotte 


Portland 


24 


Cheboygan 


River Rouge 


Morris .. 


5 




Mound. .. 


4 


Clawson 


Rockford 

Rogers City 

Romeo 


Nashwauk.. _ . 


3 


Coldwater 


New Brighton 

New Ulm 


5 


Corunna 


15 


Crystal Falls 

Davison 

Dowagiac . 


Roosevelt Park 

St. Clair 

St. Johns 

St Joseph 


Northfield. . 


9 


North Mankato 

North St. Paul 

Orono. . 


5 
6 


East Grand Rapids. 


3 


St. Louis 

Sault Ste. Marie.-.. 

South Haven 

South Range 

Sparta 


Ortonville 


4 




Owatonna. 


10 


Essexville 


Park Rapids 


4 


Farmington 

Fenton 


7 


Red Wing 


16 


Flat Rock 


Stambaugh 


Redwood Falls 

Robbinsdale 

St. Anthony 

St. James 


4 




Sturgis 


16 


Gaastra ... . 


Swartz Creek 

Tecumseh 


6 


Gaylord 


5 


Gladstone ... 


Three Rivers 

Traverse City 

Trenton... 


St. Paul Park 

St Peter. -_ 


2 


Grand Haven 

Grand Ledge 

Grandville 


7 


Sauk Centre 

Sauk Rapids 

Shakopee 


6 


Vassar 


3 


Greenville 


Wakefi'ekl.. 


4 



123 



Table 40.— -Number of Full- time Police Department Employees, 
December 31, 1962, Cities With Population Under 25,000— Continued 



City 



MINNESOTA— Cont. 



Silver Bay.. 

Sleepy Eye 

Springfield 

Spring Valley 

Staples 

Thief River Falls. 

Tracy 

Two Harbors 

Virginia 

Wabasha 

Wadena 

Wayzata 

Weils 

West St. Paul 

Willmar 

Winona 

Worthington 



MISSISSIPPI 



Bay St. Louis- 

Charleston 

Cleveland 

Corinth... 

Durant 

Greenwood 

Leland 

Long Beach — 

McComb 

Natchez 

Ocean Springs. 

Senatobia 

Wajmesboro... 



MISSOURI 



Ballwin 

Bellefontaine 

Neighbors 

Bel-Ridge 

Berkeley 

Blue Springs 

Bolivar 

Bonne Terre 

Boonville 

Breckenridge Hills. 

Brentwood 

Bridgeton 

Brookfield 

Cameron 

Carthage 

Centralia 

Charleston 

Clayton 

Crest wood 

Creve Coeur 

Crystal City 

Deilwood 

Eldon 

Excelsior Springs. . 

Farmington... 

Ferguson 

Festus 

Flat River 

Frontenac 

Fulton 

Gladstone 

Glendale 

Hannibal 

Hazel wood. 

Hermann 

Hillsdale 

Jackson 

Jennings.. 

Kirksville 



Number 

of police 

department 

employees 



City 



MISSOUEI— Cont. 



Ladue 

Lamar 

Liberty 

Maiden 

Maplewood 

Marceline 

Marshall 

Maryville 

Mexico 

Moline .\cres. 

Monett 

Neosho 

Normandy---- 

North Kansas City. 

O'Fallon 

Olivette 

Overland 

Palmyra 

Pine Lawm 

Poplar Bluf! 

Potosi 

Ravto^\^l 

Richmond Heights. 

Riverviev: 

Rock Hill 

Rolla 

St. Ann 

Ste. Genevieve 

Salem '-. 

Sedalia 

Shrewsbury 

Sikeston 

Slater 

Sugar Creek 

Trenton 

Union 

Valley Park 

Vandalia 

Warrensburg 

Wellston 

Wentzville 

West Plains 

Woodson Terrace.. 

MONTANA 



Number 

of police 

department 

employees 



Bozeman... 

Conrad 

Cut Bank.. 

Dillon 

Glasgow 

Glendive... 

Hardin 

Helena 

Kalispell-.-. 
Lewisto^v^l. 
Livingston - 
Miles City- 
Red Lodge. 

Shelby 

Sidney 

Whitefish... 
Wolf Point. 



NEBRASKA 



Alliance 

Auburn 

Aurora 

Beatrice 

Bellevue 

Blair 

Broken Bow 

Chadron 

Columbus... 



City 



NEBRASKA— Cont. 



Cozad 

Crawford 

Crete 

Fairburv 

Falls City 

Fremont 

Gering 

Gothenburg 

Hastings 

Holdrege 

Kearney 

Lexington 

McCook 

Nebraska City. 

Norfolk 

North Platte-.. 
Plattsmouth... 

Ralston 

Schuvler 

Scottsbluff 

Seward 

Sidney 

Superior 

Wahoo 

Wayne 

York 



Number 

of police 

department 

employees 



NEVADA 



Boulder City 

Carson City 

Elko 

Fallon 

North Las Vegas. 
Sparks 

Winnemucca 



NEW HAMPSHIRE 



Berlin 

Conway 

Derry 

Dover 

Durham 

Exeter 

Farmington. -- 

Franklin 

GofTsto^^^l 

Hampton 

Hudson 

Jaffrey 

Keene 

Lebanon 

Littleton 

Milford 

Newport 

Peterborough.. 

Rochester 

Rye 

Salem 

Somersworth.. 



NEW JERSEY 



Allendale 

Asbury Park 

Atlantic Highlands. 

Audubon 

Beach wooil 

Bellmawr 

Berkelev Heiglits... 
Berkeley To\\mship. 

Berlin 

Bernards Township. 
Bogota 



124 



Table 40. — Number of Full-time Police Department Employees, 
December 31, 1962, Cities With Population Under 25,000 — Continued 



City 


Number 

of police 

department 

employees 


City 


Number 

of police 

department 

employees 


City 


Number 

of i)olicc 

department 

employees 


NEW JERSEY-Cont. 

Boonton 


If) 
9 
15 
14 
35 
12 
8 
28 

21 
9 
13 
15 
41 

17 
10 
20 

4 
29 
12 
21 
10 
14 

5 
13 

1 
15 
25 
13 

11 
23 
17 
15 
18 

9 
10 
10 

8 
21 
14 

4 
13 
15 
42 

3 

4 
14 
10 
10 
22 
23 
23 

14 

2 

10 

14 

26 

19 

15 

54 

20 

20 

21 

5 

16 

63 

7 

5 

1 


NEW JERSEY— Cont. 

Jefferson Township. 


7 

11 

16 

22 

4 

2 

34 

5 

25 

16 

6 

4 

10 

13 

37 

16 
9 

31 
27 
4 
16 
12 
14 

14 

50 
21 

4 
11 
21 
16 

8 

44 

5 
25 

4 

6 

23 
35 
18 

6 
14 
21 

8 
31 

2 
23 
15 

6 

9 

1 

6 
28 

4 
18 

4 
10 

7 
40 
11 
21 
13 

26 
19 
9 
5 


NEW JERSEY-Cont. 
Paulsl)oro 


13 




Pemberton Towti- 
ship 


Bound Brook 


Kenil worth 


12 






Penns Grove 

Pequannock Town- 
ship 


13 


Bridgeton ._ 


Kinnelon. ._ 


Brielle- 


Lakehurst 


]9 


Brigantine _. . . 


Lake wood. . _ 


Phillipsburg 

Piscataway Towt]- 
ship 


9"/ 


Burlington 


Lambert ville 

Lawrence Township 

Levittown 

Lincoln Park 

Linwood. ._ 


" 


Butler . - _ 


30 


Caldwell 


Pitman . 


13 


Caldwell To\vnship. 
Cape May... . ... 


Pleasantville 

Point Pleasant 

Point Pleasant 
Beach 


22 
16 


Carlstadt 


Little Ferry 

Little Silver 

Livingston 




Carteret ..- 


16 


Cedar Grove Town- 


Pompton Lakes 

Princeton 


13 


ship. - - - 


Lower Penns Neck 
Township 

Lower Township... 

Lyndhurst Town- 
ship. . - .. 


24 


Chatham Towaaship. 
Clark ... 


Princeton Town- 
ship 


20 


Clayton.. . .. . 


Prospect Park. 


4 


Cliffside Park -. 


16 


Closter . 




Randolph To\ra- 




Collingswood.. ... 




9 


Cresskill 


Mahwah Township. 


Red Bank 


34 


Deal 


Ridgefield Park..... 
Riverdale 


19 


Demarest _. 


Man ville. . ._ 


5 


Denville Towoiship. 


Maple Shade Town- 


River Edge. 


15 


Deptford Towaiship. 


Riverside 


11 


Dover 


Maplewood Town- 


Rochelle Park 

Township 

Rocka way 

Rockaway Town- 
ship 






10 


Dunellen 


Maywood 


6 


East Hanover Town- 
ship 


Medford Township. 

Merchantville 

Metuchen. ... 


13 


East Paterson 


Roselanci. . 




East Rutherford . 


Middlesex 


Roselle 


34 


Eatontown 


Midland Park 

Milll)urn Towai- 
ship.. . 


Roselle Park 

Roxbury Towaiship. 
Rumson 

Runnemede 


21 


Edgewater 


11 


Egg Harbor City 


12 


Emerson ._ 


Millto^ra 


8 


Englewood Cliffs 


Millville 


33 


Fair Haven. . . 


Mine Hill Town- 
ship . - 


Saddle Brook Town- 
ship 




Fairview 


18 


Fanwood 


Montvale 




33 


Flemington 


Moorestown Town- 
ship __ . 


Scotch Plains 

Sea Isle City 

Secaucus 


25 




10 


Florham Park 


Morristown 


28 


Fort Lee 


Morris To\vTiship._. 

Mountain Lakes 

Mountainside 

Mount Holly 

Neptune City 

Neptune Township. 

Netcong 

New Milford 

New Providence 

New Shrewsbury... 

Newton 

North Brunswick 

Township 

North Haledon 

North Plainfield.... 

North vale 

North Wildwood... 

Norwood 

Oakland. 


Shrewsbury 


5 


Franklin 


Somerdale 

Somerville 


1 


Franklin Lakes 


24 


Freehold 


South Bound Brook. 
South Brunswick 

Township 

South Orange 

South Plainfield 

South River 


4 


Garwood.. 




Glassboro 


7 


Glen Ridge 


45 


Glen Rock 


24 


Gloucester City..-- 


22 
32 


ship 


Spring Lake Heights. 
Stratford 


11 

5 


ship 


Summit 


39 


Greenwich Town- 
ship 


Tenafiv 

Toms River 

Upper Penns Neck.. 
Upper Saddle River. 

Ventnor City 

Verona 


29 
32 


Guttenberg 


17 


Haddonfield 

Haddon Township.. 
Hanover TowTiship. 


4 
27 
25 


Oaklyn. 


Voorhees Township. 
Waldwick 


2 


Hasbrouck Heights. 

Hawthorne 

Highland Park 

Highlands 


Ocean City 


11 


Ocean Grove 

Ocean Township 

Oradell. 


Wallington 

Wall Township 

Wanaque 


14 
18 
5 


Hillsdale 

Hillside To\\aiship.. 


Palisades Interstate 
Park 


Washington 

Washington Town- 


5 


Palisades Park 

Park Ridge.. . 


9 




Watchung 


10 


Jamesburg 


Passaic Township.. 







125 



Table 40. — Niimher of Full-time Police Department Employees, 
December 31, 1962, Cities With Population Under 25,000 — Continued 



City 


Number 

of police 

department 

employees 


City 


Number 

of police 

department 

employees 


City 


Number 

of police 

department 

employees 


NEW JERSEY-Cont. 

Weehawken Town- 
ship 


41 

18 

10 

14 
9 

19 
9 

26 

12 

24 
5 
4 

20 
4 
2 

13 

17 
11 
12 

9 

6 

44 

1 

19 

6 

8 

29 

12 

13 

14 

3 

2 

3 

15 

12 

4 

2 

5 

4 

32 

14 

27 

17 

5 

15 

6 

22 

4 

19 

6 

2 

6 

13 

7 

3 

2 

4 

38 

2 

2 

26 

1 

30 


NEW YORK-Cont. 

Coxsackie 


1 

10 

13 

19 

2 

29 

12 

54 

8 

13 

7 

10 

42 

13 

4 

32 

5 

3 

4 

9 

27 

30 

29 

34 

4 

8 

5 

1 

7 

5 

16 

2 

58 

18 

9 
16 

1 

3 
23 

8 
22 
12 
13 
15 
28 
17 
29 
11 
16 
12 
24 

9 

4 
53 

7 
15 
20 
24 
12 
10 
39 

3 
14 
21 
16 
21 

3 

1 
18 
16 

9 

5 
22 
15 


NEW YORK-Cont. 
Nunda 


2 


Dansville 


Nyack... .. . . 


15 


West Caldwell 

West Deptford 

To^vnship 

West Long Branch.. 
West Mil ford 

TowTiship 

West Paterson 


Depew ... 




20 


Dobbs Ferry 

Dolgeville 


Olean 


33 


Oneida 


19 


Dunkirk 

East Aurora 

Eastchester 

East Syracuse 

EilenviUe 


Oneonta.- 


21 


Orchard Park 

Ossinins 


14 
37 


Oswego 


39 


Owego 


13 


Wharton 


Elmira Heights 

Elmsford 


Painted Post 

Palmyra.. 


3 


Wildwood 


5 


Wildwood Crest 


Endicott 


Peekskill 


35 


Evans . . _ 


Pelham 


14 


Woodcliff Lake 

W^nndl vnnp 


Falconer 

Floral Park . 


Pelham Manor 

Penn Yan... 


24 
10 


Wood-Ridge 


Fort Edward 

Fort Plain 


Plattsburgh 


31 


Pleasant ville 

Port Jervis 


17 


W^ightstown. . ... 
Wyckoff 


Frankfort 


15 


Fredonia 


Potsdam 


14 




Fulton 


Poughkeepsie 
Town 




NEW MEXICO 


Geneva 


31 


Glens Falls 


Rensselaer 


19 




Gloversville 


Riverhead Town... 
Rye 


24 












Aztec 


Gouverneur 


St. .Tohnsville 

Salamanca. 










Gowanda 










Granville 


Saranac Lake 

Saratoga Springs 

Saugerties. 










Green Island 




Eunice 


28 






Gallup 


Hamburg 


Scarsdale 












Scotia 








Las Vegas City 


Harrison.. - 


Seneca Falls 

Sherrill 


14 


Las Vegas Town 


Hastings-on- 
Hudson -. 


2 


Lordsburg 


Silver Creek 

Skaneateles 










Haverstraw.. . . 












Sloan. - 








Silver City 


Highland 


Sloatsburg . 








Tucumcari . . 


Hoosick Falls 

Hornell .. 


Solvay 








Tularosa 


Southampton 

South Glens Falls.. 

South Nyack 

Spring Valley 

Springville 








Zuni 


Horseheads 












4 


NEW YORK 


Hudson Falls 

Ilion 


16 
3 


Alfred 


Irvington 


Suffern 


V 


Amity ville 


Johnson City 

Johnstown 


Tarrytown 


'^O 


Ardsley ... 


Ticonderoga 

Tonawanda 


(5 


Asharoken. 


Kenmore 


3'' 


Attica 


Lake Placid 

Lancaster Town 

Lancaster Village... 
Larch mont .. . 


Tuckahoe 


21 


Baldwinsville 

Ballston Spa 


TupperLake 

Vestal 


8 
14 


Batavia. 







Bath 




Wappingers Falls... 




Beacon 


Liverpool- ... .. 


3 


Bethlehem... 


Lyn brook- 




5 


Blasdell 


Lyons . . . 




5 


BriarclifT Manor . 


Malone . . 


Waverlv 


5 


Brockport 


Malverne 


Wellsville 


9 


Bronxville. 


Massena 


West Ehiiira 

Westfi(>]<l 


I 


Canajoharie 


Mechanicville 


fi 


Canandaigua... 


W(\st SeiK'ea 

Whitehall 


31 
3 


Canastota 


Middletown 

Mohawk 

Monticello 

Mount Pleasant 

Newark 


Canisteo 


Whitesboro 


2 


Canton 


Yorkville 


1 


Carmel 


NORTH CAROLINA 

Ahoskie 




Carthage 




Cayuga Heights 

Cazenovia 

Chittenango 

Cohoes 


New Castle 

New Paltz 

New York Mills...- 

North Castle 

North Pelham 

Northport 

North Syracuse 

North Tarrytown. -- 
Norwich. 


6 




21 


Cooper stown 


Asheboro 


22 


Corinth 




6 


Corning ... 


Beaufort .-. 


4 


Cornwall 


Belhaven ..... 


2 


Cortland 


Belmont 


10 



126 



Table 40.— Number of Full-lime Police Department Employees, 
December 31, 1962, Cities With Population Under 25,000— Continued 



City 



NORTH CAROLINA 
— Continued 

Boone 

Canton 

Carv 

Chapel Hill 

Clayton 

Clinton 

Concord 

Davidson 

i:)raper 

Dunn 

Edenton 

Elizabeth City — 

Elkin ' 

Enfield 

Forest City 

Fuquay Springs.. 

Graham 

Granite Falls 

Greenville 

Henderson 

Hendersonville 

Hickory 

Jacksonville 

Kernersville 

Laurinburg 

Leaksville 

Lenoir 

Lincolnton . 

Louisburg . 

Lumberton . 

Marion 

Monroe 

Morehead City 

Morgan ton 

Mount Airy 

New Bern 

North Wilkesboro. 

Red Sprinsrs 

Reidsville 

Roxboro 

Rutherford ton 

Salisbury 

Scotland Neck _._ 

Shelbv _ 

Smithfield 

Southern Pines 

Spindale 

Spring Lake 

Statesville 

Tarboro 

Thoniasville 

Valdese 

Wake Forest 

Washington 

Waynesville. 

White ville 

Williamston 



Number 

of police 

department 

emi)loyees 




NORTH DAKOTA 



Devils Lake 

Dickinson 

Grafton 

Jamestown 

Mandan 

South West Fargo 

Valley City 

Wahpetonl 

Williston 



OHIO 



Ada. 



4 
13 
35 

3 

5 
14 

7 
24 
12 

4 
14 

6 
11 

9 
35 
25 
19 
48 
26 

4 
If. 
10 
21 
11 

24 
10 
22 
12 
19 
22 
29 
16 

6 
30 
12 

6 
45 

4 
25 
16 
10 

5 

3 
46 
17 
27 

5 

6 
19 
10 
12 
10 



OHIO— Continued 



Ashland 

Ashtabula 

Aurora 

Avon 

Avon Lake 

Barnesville 

Bay Village 

Beach wood 

Bedford 

Bedford Heigh ts... 

Bellaire 

Belle vue 

Berea 

Bexley 

Bowling Green 

Brecksville 

Bridgeport 

Broadview Heights 

Brooklyn 

Brook Park 

Brook ville 

Bryan 

Cadiz 

Caml)ridae 

CampluMl 

Canficld 

Carrollton 

Celina 

Chagrin Falls 

Chardon 

Cheviot 

Circle ville 

Clyde 

Columbiana 

Conneaut 

Crestline 

Crooksville 

Deer Park 

Defiance 

Delaware 

Dennison 

Dover 

Eastlake 

East Liverpool 

East Palestine 

Eaton 

Elmwood Place 

Fairborn 

Fairport Harbor 

Fairview Park 

Fostoria 

Franklin 

Fremont 

Gahanna 

Gallon 

Gallipolis 

Geneva 

Georgetown 

Germantown 

Gibsonburg 

Girard 

Grandview Fleights. 

Greenfield 

Greenhills 

Greenville 

Grove City 

Harrison 

Hicksville 

Plighland Heigh ts-. 

Hilliard 

Hillsboro 

Hubbard 

Huron 

Independence 

Jackson 



Number 

of police 

department 

employees 


City 


Number 

of police 

(lopartTnent 

employees 


19 


OHIO— Continued 

Kent 




29 


Lebanon,. 


10 


3 

1 


Lincoln Heights 

Lockland 


10 
10 


11 


Logan 




4 


London 


<) 


13 


Louisville--. .. 




11 


Lynd hurst 


16 


19 


Madeira.. . .. 




8 


Mariemont- 


10 


14 


Marietta 


18 


11 


Marysvillc_._ 


(-, 


20 


Maumee.- . ... . 


13 


20 


Medina 


14 


15 


Mentor. 


7 


9 
6 
5 


Mentor-on-the- Lake- 

Miamisburg 

Middleport.- 


4 
14 
4 


13 

15 


Mingo Junction 

Mogadore 


8 
4 


1 
11 


Montgomery 

Montpelier.. 


4 

4 


3 


Moraine 


11 


19 

20 


Mount Healthy 

Napoleon.. 


4 
() 


4 


Nelsonville _ 




3 
11 

8 
4 
8 

11 
7 
4 

13 
7 
2 
9 


New Boston 

Newburgh Heights.. 

New Carlisle 

Ncwcomersto wn 

New Lexington 

New Philadelphia. _ 

Newton Falls 

North Canton 

North College Hill 

North Olmsted 

North Royalton 

Norwalk . 


10 
() 
3 
9 
5 

17 
() 
8 

T 

17 

12 
14 


18 
17 


Oak Harbor 

Oak wood... 


2 
3f) 


4 


Oberlin 


() 


19 


Ontario ... 


4 


12 


Oregon ... 


15 


26 


Orrville 


11 


6 


Ottawa 


3 


6 


Oxford 


9 


6 


Painesville 


19 


31 
4 


Parma Heights 

Paulding 


14 

2 


20 


Perrysburg 


12 


23 


Piqua 


19 


9 
25 


Port Clinton 

Ravenna 


8 
12 


5 


Reading 


15 


17 
10 
6 
3 


Reynoldsburg 

Richmond Heights. 

Rocky River 

St. Bernard 


11 

26 
17 




Salem 


15 


4 


S-^bring . . 


G 


16 


Seven Hills 


f) 


10 


Shadyside . . 


(i 


8 


Sharonville 


10 


4 
11 


Sheffield Lake.. 
Shelby 


5 
9 


12 


Sidney 


18 


9 


Silver Lake 


3 


3 


Silverton . . _ 


8 


3 


Solon. . 


13 


6 


Springdale . _ 


4 


9 
11 


Strongsville 

Struthers 


13 
17 


6 


Tallmadge 


12 


9 
13 


Tiffin 


22 


TippCity ' 


4 



127 



Table 40. — Nuinher of Full-time Police Department Employees, 
December 31, 1962, Cities With Population Under 25,000 — Continued 



City 


Number 

of police 

department 

employees 


City 


Number 

of police 

department 

employees 


City 


Number 

of police 

department 

employees 


OHIO— Continued 

Trotwood 


5 
14 
12 

3 
13 
10 
13 

16 

8 

14 

13 
3 

4 

8 
8 
3 

20 
26 
16 
9 
19 
3 

16 
15 
8 
3 
6 
20 
14 
12 
26 

16 

15 

10 

3 

13 

4 

12 

4 

2 

13 

12 

4 

8 

22 

12 

14 

18 

15 

3 

11 

8 

5 

p. 

4 

7 

5 

25 

22 

9 

4 

4 

22 

9 

7 

8 

5 


OKLAHOMA— Cont. 

Sand Springs 

Sapulpa . ._ - - 


13 
19 
12 

10 

5 
9 

8 

5 

26 
13 
17 
13 
11 
18 

4 
14 
10 
10 

8 
10 

4 
17 

6 

10 

6 

37 

17 

17 

9 

8 

10 

15 

4 

10 

5 

14 

16 

24 

8 

6 

9 

23 

7 

9 

6 

28 

19 

7 

5 

4 

9 
18 
3 
12 
3 
4 
9 

2 
10 
24 

6 
1 


PENNSYLVANIA— 
Continued 

Bentleyville 

Berwick .- 




Troy 


2 


Twinsburs; 




12 


Spiro 


Birdsboro— 


2 


T'nion City 




Blairsville 


2 


Tahlequah -. - 


Borough TowTiship. 
Bovertovvn.. 


1 






4 


Van Wert 


Village 


Brentwood 


17 




Weatherford 


Bridseville- . 


6 


Wapakoneta 

Warrensville 
Heights 


Bristol 


If) 


Yukon 

OREGON 


Brownsville 


11 


Burnham-Derry 
Township 




Washington Court 
IIous^ 


6 


Butler 


37 




Butler Township..- 
Callfornia 


14 






3 


Wellsville 


A'itoria 


Cain Township 

Camp Hill 


2 






5 


Westcrville 




Canonsburg 

Carbondale 


14 


W est Jefferson 




16 


Westlake 




Carnegie 


16 


Whitehall 




Catasauqua 


4 


Wickliffe 


Pnnnillp 


Chambersburg 

Charleroi 


21 


Willard 


Cottage Grove.- 

Empire 


15 


Willoughbv 


Chippewa Town- 
ship 




Willoughby Hills... 
WMllowick 


Forest Grove -- 




Clairton 


25 


Wilmington 

Windham.. . 


Grants Pass 


Clarion 


5 


Clarks Summit 

Clearfield 


3 






11 


W^oodlawn 


XTi'11c-K/-.rrv 


Clymer 


2 






Coaldale 




Worthington 


Klamath Falls.. ..-- 


CoUingdale . . 




Colwyn 


9 


Xenia 


Lake Oswego.... .-- 
Lebanon 


Connellsville 


19 




i 






I'-) 


OKLAHOMA 


McMinnville. 

Milton-Freewater... 
Milwaukie.... 


Corry 


9 


Bethany 


Coudersport 


2 
1*^ 


Blackwell 

Broken Arrow 


Myrtle Point. 

Newberg 


Cressona 


1 


Cumru Township... 
Curwensville 


K 


Cherokee 






Claremore 

Cleveland 

Plintnn 


North Bend 

Oregon City 

Pendleton .. . -- 


3 


Danville 


7 


Collinsville 




2 


Prineville 


Dickson City 

Donora. . 


g 


Commerce 


Redmond 


13 


T»n1 «~"i<--tT 


Reedsport 


Doylestown .... 


7 




Roseburg 


Dravosburg 






St. Helens -- 


Du Bois 


15 




Seaside 


Dunmore.. .. 


U 




Silverton 


Duquesne 


23 


T?llr Pitv 


Springiield . 


Durvea .. - - 


f 


TTl T?nnr» 


The Dalles 


East Lansdowne 

East Norriton 
Township 

East Stroudsburg.._ 

Ea^ttown Town- 
ship 


4 


rintVirip 


Tillamook 






Toledo... -. 


£ 




West Linn 


J 


Holdenville 


PENNSYLVANIA 
Ambler.- . 




Hollis 


S 


Honiinv-. 


East Whiteland 

Township 

Ebensburg 




Idabel 


7 


Madill 


Ambridge. 


' 




Annville _ .. 


Edgeworth .. 


t 


Ma flow 


Arnold 


Edwardsville 

Ell wood City 

Emmaus . 


f 




Ashland 


le 


\A ior-ni 


' Athens .- - 


s 


Nichols Hills 








Baldwin Township. 
Barnesboro .. 


Etna 


J 




Exeter Township... 
Farrell 


4 




Beaver 


27 


Pauls Valley 


Beaver Falls 

Bedford 


Fleetwood.. . ... 


: 


Ford City 


t 


Purcell 


Bellefonte . -. 


Forest City 


2 


Sallisaw 


Bellwood 


Forty Fort 


t 



128 



Table 40. — Niitnbpr of Full- lime Police Deparitnent Employees, 
December 31, 1962, Cities With Population Under 25,000— Continued 



City 



PENNSYLVANIA- 
Continued 



Fountain Hill 

Franklin 

Franklin Townsliip- 

Gallitzin 

Goistcwn 

Olassport 

Grocncastle 

Green Tree 

Greenville 

Grove City 

Ilaniburp; 

Hampden Town- 
ship 

Hanover 

Hanover Townsbip_ 
Harmony Towaiship- 

Ilatboro 

Hellertown 

Honesdale 

Hopewell Town- 
ship 

Hummelstown 

Huntingdon 

I ndiana 

Ingram 

Irwin 

Jeannette 

Jenkintown 

Jersey Shore 

Jim Thorpe 

Johnsonburg 

Kenhorst 

Kennett Square 

Kingston 

Kittanning 

Lansdale 

Laureldale 

Lawrence Park 

Township 

Leetsdale 

Lehighton 

Lemoyne 

Lewis'burg 

Lewistown 

Ligonier Township. 

Lititz 

Littlestown 

Lock Haven 

Lower Allen Town- 
ship 

Lower Rurrell 

Lower Moreland 

Township 

Lower Providence 

Township 

Lower Southampton 

Luzerne 

Lykens 

Mahanoy City 

Manheim 

Mansfield 

Marcus Hook 

Marple Township.. 

Masontown 

McAdoo 

McCandless Town- 
ship 

McKees Rocks 

McSherrystown 

Meadville 

Mechanicsburg 

Media 

Meyersdale 

Milton 



Number 

of i)olice 

department 

employees 



City 



PENNSYLVANIA- 
Continued 



Minersville 

M onessen 

Monongahela 

Montoursville 

Morrisville 

Mount Carmel 

Mount Joy 

Mount Penn 

Mount Union 

Muhlenberg Town- 
ship 

Muncy 

Munhall 

Myerstown 

Nanticoke 

Nar berth 

Nether Providence 

Township.- 

New Brighton 

New Cumberland. - 

New Eagle 

New Holland 

New Kensington 

North Catasauqua.. 

North East 

North Huntingdon 

Township 

North Sewickley 

Township 

North Versailles 

Township 

North Wales 

Norwood 

Oil City 

Olyphant 

Oxford 

Palmerton 

Palmer Township. . 

Palmyra 

Pen Argyl 

Penbrook 

Penn Township 

Philipsburg 

Pitcairn 

Plains Township 

Pleasant Hills 

Plymouth 

Port Allegany 

Port Carbon 

Prospect Park 

Punxsutawney 

Quakertown 

Radnor Township.. 
Reserve Township.. 

Reynoldsville 

Roaring Spring 

Robinson Township 

Rochester 

Rocklcdge 

Royersford 

St. Marys 

Salisbury Township 

Selinsgrove 

Shaler Township. _. 

Sharon 

Sharon Hill 

Sharpsville 

Shenango Township 

Shillington 

Slatington 

Somerset 

South Greensburg.. 

South Lebanon 

Township 



Number 

of police 

department 

employees 



City 



PENNSYIVANIA- 
Continued 



Southmont 

Southwest Greens- 
burg 

Spangler... 

Springdale 

Springettsbury 

Township 

Springfield Town- 
ship 

Spring Township... 

State College 

Steelton 

Stowe Township 

Stroudsburg 

Sugar Notch 

Summit Hill 

Sunbury 

Swarthmore 

Swissvale 

Tamaqua 

Tavlor 

Telford 

Throop 

Titusville 

Towanda 

Trafford 

TredylTrin Town- 
ship 

Trevorton 

Tyrone 

Union City 

Uniontown 

Upper Dublin 

Township 

Upper Merion 

Township 

Upper Moreland 

Township 

Upper Southamp- 
ton Township 

Upper Yoder Town- 
ship 

Vandergrift 

Warren 

Washington 

Weatherly 

Wellsboro 

Wesley ville 

West Chester 

West Goshen 

Township 

West Lampeter 

Township 

Westmont 

West Pittston 

West Reading 

West View 

Whitehall 

Whitehall Town- 
ship 

Wliitemarsh Town- 
ship 

Whitpain Town- 
ship 

Wilkes-Barre 

Township 

Wilkins Township. 

Williamstown 

Willistown Town- 
ship 

Wilmerding 

Wilson 

Windber 

Winton 



Number 

of police 

department 

employees 



129 



Table 40. — Niimher of Full-time Police Department Employees, December 31, 
1962, Cities With Population Under 25,000 — Continued 



City 


Number 

of police 

department 

employees 


City 


Number 

of police 

department 

employees 


City 


Number 

of police 

department 

employees 


PENNSYLVANIA- 
Continued 


2 
11 
17 

2 
7 

18 
5 
36 
18 
12 
4 
20 
12 
21 
2 
10 
12 
17 
10 
23 
27 

10 
23 
44 

6 

6 
14 
13 
20 
12 
13 

1 

18 
18 

8 
10 
20 
21 
34 
17 
23 
15 
22 

9 
33 

6 

4 

30 
2 
6 
4 

21 
3 
12 
17 

15 
4 
5 
6 

15 


TENNESSEE 
Alcoa . .. . 


12 
41 
30 

8 
24 
20 

5 
18 
20 

4 
10 
10 

6 
10 

9 

6 
16 

4 
12 
11 
26 

1 
16 

6 

6 
7 
5 

17 
4 
5 

13 
6 

16 

18 
3 
9 
8 
8 
5 

13 
3 

24 
9 

18 

25 

12 
2 
9 
6 
4 
7 
7 

18 
5 
5 

10 
1 
5 

10 

26 
7 

25 
8 
3 
5 
3 

13 


TEXAS— Continued 

Duncan ville 

Eagle Lake 


3 


Wyoming . 


Clarksville 

Cleveland 


5 


Wyomissing 

Yeadon 


Eagle Pass 


12 


Clinton 


Eastland 


5 


Youngwood 


Columbia 


Ediaburg.. 


16 


Zelienople 


Dvcrsburg 


El Campo 


10 




Etowah 


Elgin 


3 


RHODE ISLAND 


Gallntin 


Elsa 


1 




Greene ville.- . 


Euless 


11 


Barrington 


Jefferson City 

Lawrenceburg 

Lebanon. .. .. 


Farmers Branch 

Fort Stockton 

Freeport.. 


21 


Burrillville 


9 


Central Falls 


17 


Cumberland .. 


Lenoir City 

Lewisburg 


Gilmer 


6 


East Greenwich _ _ . 


Gladewater. 


12 


Jamestown 


Loudon 


Graham 


11 


Johnston 


Martin 


Henrietta 


3 


Lincoln 


Mary ville . 


Hereford 


13 


North Kingstown. __ 


McKenzie 


Highland Park 

Hurst 


21 


North Smith field_-. 


Milan ... 


16 


Portsmouth 


Millington 


Ingleside 


1 


Smithfield 


Murfreesboro 

Norris 


Jacksonville 


11 


South Kingstown 


Kermit 


15 


Tiverton 


Paris 




10 


Westerly 

West Warwick 


Redbank-White Oak 
Ripley . .. 


Lake Jackson 

Lake Worth Village. 
La Marque. . 


6 

8 




Rockwood 

Savannah 


12 


SOUTH CAROLINA 


Lamesa 


16 




Sevier ville 


Lewis ville. . 


5 


Abbeville 


Shelby ville 

South Fulton 

South Pittsburg 

Spriagfield 

Sweetwater 

Union City 


Littlefield 


11 


Aiken 




3 


Anderson 


Mathis 


4 


Andrews. __ 




18 


Barnwell 


Mercedes 


6 


Beaufort. 


Mexia 


8 


Bennettsville 


Waverly .... 


Mineoia 


5 


Camden. . 


TEXAS 

Alice 


Monahans . 


12 


Cheraw... 


Mount Pleasant 

Muleshoe 


9 


Chester 


6 


Clemson. 


Nacogdoches 

New Braunfels 

North Richland 
Hills- . 


17 


Conway 


Alpine 


14 


Darlington .. 


Alvin 




Easley... ... 


Andrews. . . 


10 


Fort Mill 


Aransas Pass 

Ballinger . 


Oluey 


4 


Gaffney 




3 


Georgetown 


Beeville 


Palestine 


15 


Greenwood. 


Bellmead 

Borgcr 


Pampa 


27 


Greer 


Paris 


26 


Hartsville... 


Breckenridge 

Broxmfield 




4 


Lake City 


Pecos ... _ . 


12 




Brownwood 

Burkburnett 

Canadi'^n 

CarroUton 

Carthage 




29 


North Augusta 


Plano- 


6 


Orangeburg 


R anger 


8 


Ware Shoals 

Williston 


Raymond ville 

Refugio. ... 


10 
4 




Castle Hills 


Ricliardson 

Richmond 


26 


SOUTH DAKOTA 


Childress.... 


4 




Cisco 


Rockdale 


4 


Aberdeen 


Cleburne 

Clute 


Rosenberg ~" 


10 


Canton.. . 


San Benito 


10 


Dead wood 


College Station 

Colorado City 

Columbus...' 

Comanche 

Copperas Cove 

Corsieana 


Sinton 

Slaton 


5 


Fort Pierre 


8 


Hot Springs . . 


18 


Huron... 


South Houston 

Stephen ville 

Sweetwater 

Taft 

Taylor 

Tulia 


10 


Lemmon 


9 


Madison. .. 


19 


Mitchell 


Crockett 


2 


Mobridge.. 


Denison 


11 


Pierre 


Denver City 

Dimmitt 


6 


Red field 


Uvalde 

Vernon 

Waxahachie 


11 


Sisseton . . 




20 


Vermillion ... . 


Dublin 


16 


WatcrtowTi 


Dumas 


Weather ford 


12 



130 



Table 40. — Number of Full-lime Police Department Employees, December 31. 
1962, Cities With Population Under 25,000— Conlinued 



City 


Number 

of police 

department 

employees 


City 


Number 

of police 

department 

employees 


City 


Number 

of police 

department 

employees 


TEXAS— Continued 

Woslaco 


13 

13 
11 
3 
1 

6 
7 

15 
4 
5 

15 
6 
7 

13 
1 

15 
1 
5 
5 
8 
4 

10 
6 
6 
3 

13 

5 

16 
4 

9 

3 

9 

9 
1 
7 
2 
2 
26 
9 
9 
2 
6 

10 
13 
27 
16 

3 

12 
16 
12 
22 
12 
12 
2-6 
14 
12 
22 
25 
13 

5 

7 
13 
34 

4 


VIRGINIA- 
Continued 

Norton. .. 


10 
16 
17 

9 
19 

4 
15 

5 
35 
32 
28 

6 

8 
27 
14 
27 

"s 

21 
2*^ 
"3 

4 
8 
10 

3 

4 
3 
5 

3 

14 

13 

5 

11 

1 

3 

2 

15 

16 

17 

12 

12 

28 

12 

5 

9 

18 

11 

n 
4 

6 

1 
22 

17 
5 

16 
5 

36 

38 
5 
3 

11 
6 
9 
9 
4 

30 

22 


WEST VIRGINIA— 
Continued 

Bon wood 




West ITnivorsitv 


g 


Place 


Pulaski 

Radford. 


Blnefield 


99 


White Settlement... 




3 


Winters 




liuckhannon 

Elkins 




Yorktown. 


Salem . 


10 




Saltville 


(}rafton .. 


8 


UTAH 


South Boston 

South Hill 


Ilinton 


8 




Kingwood 


9 


American Fork 


South Norfolk 


Logan. . 


11 


Bountiful 


Martinsl)urg 

Montgomery 

Morgantown 

Point Pleasant 

Ra vonswood 

Ripley 

St. Albans 


18 


liriRham Citv- 


Suffolk 




llelper 


Vinton 


20 


Lehi . 




6 


Logan 


Waynesboro 

W^illiamsburg 

W inchester 


7 


Midvale 


4 


Moab 


!*> 


Murray .-- 


WASHINGTON 

Aberdeen . . 


3 


North Ogden . 




3 


Orem _. 


Sistersville 


9 


Park City 


South Charleston. __ 


30 
4 


Pay son 


Anacortes 

Auburn 


Ple^isant Grove 

Roy 


Vienna 

Weston 

Williamstown 

V;iSCONSIN 

Algoma 

Antigo 

Ashl'ind 


4 

8 
1 


Bellevue 


South Ogden 

South Salt Lake 

Spanish Fork 


Buckley 


Burlington 






Chehalis 




Sunset 


Clarkston 


5 
12 
14 




Cle Elum 


VERMONT 


Colfax 




College Place 

Colville 


Bayside 


8 


Barre 


Beaver Dam 

Berlin 

Bloomer 

Boscobel 


18 


Bellows Falls 


Dayton 


8 

3 

4 

23 


Des Moines 


Essex Junction 

Hartford 


Edmonds 


Ehensburg 


Manchester 


Enumclaw 


Burlin^'ton 


13 




Ephrata 




6 

2 


Middlebury 

Montijolicr 


Fircrest... ._. 


Chilton 


Goldendale 


Chippewa Falls 

Clintonville 


21 


Mon-isville 


Grand Coulee 

Hoquiam 

Kelso 

Kennewick.. 


8 


Ne\vi)ort, 


Columbus 

Cudahy 

Delavan 

De Pere 


4 


Northfield 


25 




8 


Rutland 


Kent 


10 


St. Albans 


Kirkland 

Longview 


Dodgeville 


3 




Elkhorn 

Elm Grove 




Waterbury 


Lynnwood 

Marysville 


8 


Windsor 




5 




Mercer Island 

Moses Lake 


Fox Point 


20 


VIRGINIA 


Glendale 


2'> 




Mountlake Terrace. 

Mount Vernon 

Normandy Park 

Oak Harbor 

Orting. 


Greendale 


11 


Abingdon 


Grafton 


5 


Bedford 


Hales Corners 

Hartford 

Horicon 

Hudson 

Hurley 


6 


Bristol-. 


8 


Buena Vista 

Chincoteague 

Colonial Heights 


4 
5 

4 


Pasco 

Port Angeles 

Port Orchard 

Puyallup 

Raymond 


Covington 




6 


Culpeper 


Kaukauna 


12 


Falls Church 




3 


Farm ville 


Renton 


Kiel 


2 




Richland. ... 


Kimberly 

Ladvsmith 

Lake Mills 


4 


Fredericksburg 

Front Royal 


Sedro-WooUey 

Selah 

Shelton 


4 
5 


Galax 


Little Chute 

Marinette 

Marshfield 

Mayville 


4 


Harrisonburg 

Hopewell 


Sumner 


18 
23 


Sunnyside.. _ .. 




Toppenish... 


4 


Luray 


Washougal 

Wenatchee 


Mena'^ha 


24 


Mnrtnssns 


Menomonie 


14 




WEST VIRGINIA 
Beckley 


10 


Martinsville 


Merrill 


15 


Narrows 


Monona 


12 



131 



Table 40.— Number of Full-time Police Department Employees, December 31, 
1962, Cities With Population Under 25,000 — Continued 



City 


Number 

of police 

department 

employees 


City 


Number 

of police 

department 

employees 


City 


Number 

of police 

department 

employees 


WISCONSIN— 
Continued 


16 
32 

5 

7 

5 

20 

10 

2 

4 

4 

6 

8 

6 

9 

14 

11 

8 

7 

5 

2 

3 


WISCONSIN— 
Continued 

Shawano 


9 
5 

27 

24 
9 
5 

24 
7 
9 
8 

20 
4 
3 

19 
7 
8 

24 

27 
8 

28 


WYOMING 

Buflfalo 


4 


Monroe 


Cody 


11 




Sheboygan Falls 

Shorewood 

South Milwaukee— 
Sparta 


Douglas- 


3 


Nekoosa 


Evanston.. 


5 


New London 

New Riclimond 


Gillette 

Green River 

Laramie 

Newcastle 


5 


Oak Creek 


Spooner 

Stevens Point 

Stoughton 

Sturgeon Bay 

Tomah 


21 


Oconomowoc 






Powell 


10 


Park Falls 


Rawlins 


10 


Peshtigo 


Riverton 


14 




Two Rivers 


Rock Springs 

Sheridan 


17 




18 


Prairie du Chien 


Waterford 


Thermopolis 

Torr ington 

Worland 

Guam: Agana 

Isthmus of Panama: 
Canal Zone 


9 


Reedsburg 


Watertown 

Waupaca . . 


10 




10 


Rice Lake 

Richland Center 

Ripon 

River Falls 


Waupun 

West Milwaukee- -- 

Whitefish Bay 

Whitewater . 


133 

229 


Rothschild 

Schofield 


Wisconsin Rapids, _ 









132 



Table 41. — Number of Offenses Known to the PoUee, 1962, Cities and Towns 
25,000 anti Over in Popiiluiion 



City 



Cities over 250,000 
population 



Akron, Ohio 

Atlanta, Ga 

Baltimore, Md... 
Birmingham, Ala. 
Boston, Mass 



Buffalo, N.Yi... 

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 i. 
Jersey City, N.J.._ 

Kansas City, Mo '. 
Long Beach, Calif. 
Los Angeles, Calif. 

Louisville, Ky 

Memphis, Tenn... 



Miami, Fla 

Milwaukee, Wis 

Minneapolis, Minn. 

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 

St. Louis, Mo 

St. Paul, Minn 

San Antonio, Tex 

San Diego, Calif 



San Francisco, Calif. 

San Jose, Cahf 

Seattle, Wash 

Tampa, Fla 

Toledo, Ohio 



Tulsa, Okla 

Washington, D.C. 
Wichita, Kans 



Criminal 
homicide 



Murder 
and non- 
negligenf 

mun- 
s-hiughter 



12 

84 
105 
39 
52 

19 
386 
44 
59 
37 

103 
25 
38 

131 
10 



15 
106 
35 



49 
13 
160 
38 
33 

37 
17 
14 
37 
55 

79 
507 
23 
28 
29 

14 
124 
40 
31 
23 



Man- 
slaugh- 
ter 
by 
negli- 
gence 



7 
42 
56 
33 
42 

4 

167 

28 

16 

16 

49 
11 
9 
31 
15 

2 
13 
35 
21 

1 

25 
15 
194 
28 
16 

15 
17 
14 
11 

57 

24 
43 
21 
20 

27 

23 
92 
34 
43 
16 

2 
23 
32 
71 
54 

71 
15 

7 
5 
14 

6 
26 
16 



Forci- 
ble 
rape 



15 
94 

107 
25 

104 

24 
1,621 
96 
52 
44 

94 
31 
140 
333 
31 

23 

11 

221 

72 
14 

147 
76 

976 
30 
43 

26 
33 
38 
23 
164 

96 

882 

11 

63 



26 
523 
95 
87 
37 

27 
266 
36 
57 
52 

135 
25 
79 
31 
35 

21 

82 
30 



Rob- 
bery 



260 
497 
990 
178 
730 

187 

18, 579 

291 

1,242 

364 

368 

234 

1,308 

4,206 

118 

317 
103 
817 
677 
142 

1,069 
524 

6,111 
528 
331 

807 
166 
646 
292 
1,328 



6,634 
151 
620 

388 

168 
2,448 

465 
1,056 

495 



1, 925 
266 
296 
257 

1,390 
93 
552 
313 

348 

145 

1, 572 

63 



Aggra- 
vated 
assault 



63 
711 

2,012 
670 
817 

373 
13, 499 
667 
497 
547 

917 
308 
525 
5,134 
233 

219 

70 

2.011 

394 

131 



403 

8,177 

389 

518 

927 

388 

259 

85 

1,916 

644 

12, 418 

657 

392 

428 

70 

3, 852 

489 

531 

189 

78 

1,955 

76 

783 

347 

1,413 
60 
197 
415 
219 



130 
,005 
216 



Bur- 
glary— 
break- 
ing or 
enter- 
ing 



1.941 
4,575 
4,451 
2, 293 
3,959 

2. 906 
35, 755 

2, 087 

3, 306 
3,590 

5,017 
2.041 
7,140 
16, 636 
2,450 

3,800 
2,959 
9.785 
4,774 
746 

5,337 

3.565 

37, 665 

3,513 

3, 512 

4,952 
1,958 
4,640 
3,118 
7,582 

4.145 

41, 478 
1,966 
3,560 
3,772 

1,393 
11,737 
5,903 
4,520 
2,755 

1.506 
10. 621 
2,183 
5,706 
2,850 

7.488 
2, 029 
4,891 
3,181 
1, 726 

1,926 
5, 022 
1,033 



Larceny— theft 



$50 
and 
over 



1,230 
3.537 

4. 628 
1,809 
2, 936 

1,296 

25, 638 

1,321 

1,286 

2, 161 

1,219 

595 

3,570 

5, 575 
721 

1,083 
1,741 

3, 212 
1,999 

179 

2,514 

2,351 

21, 509 

2.883 
2,251 

1,285 
2,725 
2,585 
1,387 
3,907 

2,394 

59, 297 

1.148 

1,705 

740 

695 

4, 012 
3,626 
3,101 
2, 609 

682 
3,455 
1.467 
2.593 
3.328 

2.737 

462 

3,222 

1, 466 

1,748 

1. 556 

2, 666 
746 



(Tnd(>r 



4, 638 

7, 269 
7,498 
4,018 
5,908 

2, 425 
47. 874 

5,284 
11.490 
6, 032 

12. 805 

3, 866 
8.148 

33.418 

4, 628 

6, 644 
4,985 
10, 392 
7,076 
334 

10. 141 

3,596 

35, 544 



462 
836 

192 
739 
809 
206 
170 



5,335 

35, 535 

3,883 

6,645 

6, 823 

4, 671 
13. 795 
8.748 
3,971 
6.857 

3,075 

20. 146 

5,772 

8,676 

7,188 

23, 474 
7.876 

11.621 
4,714 

5,360 

3.619 

7. 189 
3,837 



Figures not comparable with prior years. 



133 



Table 41. — Number of Offenses Known to the Police, 1962, Cities and Towns 
25,000 and Over in Population — Continued 



City 



Cities 100,000 to 250,000 in 
population 



Albany, N.Y 

Albuquerque, N. Mex. 

Allentown, Pa 

Amarillo, Tex 

Anaheim, Calif 



Arlington, Va 

Austin, Tex 

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



Bridgeport, Conn. 
Cambridge, Mass. 

Camden, N.J 

Canton, Ohio 

Charlotte, N.C... 



Chattanooga, Tenn. 

Columbus, Ga 

Corpus Christi, Tex. 

Dearborn, INIich 

Des Moines, Iowa.. 



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

Erie, Pa 

Evansville, Ind. 
Flint, Mich 



Fort Wayne, Ind 

Fresno, Calif 

Gary, Ind 

Glendale, Calif 

Grand Rapids, Mich. 



Greensboro, N.C. 
Hammond, Ind.. 
Hartford, Conn.. 

Jackson, Miss 

Jacksonville, Fla. 



Kansas City, Kans. 

Knoxville, Tenn 

Lansing, Mich 

Lincoln, Nebr 

Little Rock, Ark.... 



Lubbock, Te.x 

Macon, Ga 

Madison, "Wis 

Mobile, Ala 

Montgomery, Ala.. 
New Haven, Conn.. 

Newport News, Va. 
Niagara Falls, N.Y. 

Pasadena, Calif 

Paterson, N.J 

Peoria, 111 



Portsmouth, Va... 
Providence, R.I.. 

Raleigh, N.C 

Richmond, Va 

Rockford, 111 



Criminal 
homicide 



Murder 
and non- 
negligent 

man- 
slaughter 



Man- 
slaugh- 
ter 
by 
negli- 
gence 



Forci- 
ble 
rape 



17 



Rob- 
bery 



51 
140 

44 
56 

72 
58 
81 
31 
123 

33 

47 
192 

48 
211 

159 
43 

92 
62 
52 

20 
129 
46 



160 

288 
47 
96 

38 
64 
58 
30 
429 

145 
33 
32 
16 

84 



Aggra- 
vated 
assault 



44 

187 



84 
230 
183 

81 

58 

62 
34 

195 
13 

492 

93 
32 

416 
30 
53 

11 

235 

55 

94 

696 

26 

93 

497 

13 



646 
71 
120 
216 
249 

118 
173 
21 
59 



187 

40 

4 

183 

Incomplete 



Bur- 
glary— 
break- 
ing or 
enter- 
ing 



736 
1.656 

340 
1.187 
1.204 

705 

1,576 

1.492 

612 

941 

942 
663 

1,025 
548 

1.837 

1,939 
658 

1,635 
610 

1,048 

524 

958 

507 

1,271 

1,484 

838 
1,178 
1,022 

677 
1,150 

486 
461 
893 
840 
2,189 

1,151 
991 
439 
416 
996 

1,343 

1,220 

402 

2,270 



Larceny— theft 



$50 
and 
over 



242 

1,008 
282 
842 
750 

1,003 
618 
887 
243 
347 

551 
634 
498 
421 
1,062 

355 

250 

1,331 

552 



311 

488 

178 

703 

1,319 

859 

1,194 

965 

552 



454 
492 
417 
248 
1,465 

109 
348 
393 
354 



729 
553 
428 
523 



Under 

$50 



714 
3,606 

779 
2,244 
2,158 

2,122 
3.531 
2,518 
1,650 
2,793 

1,178 
894 
1,204 
1,294 
2,786 

1,212 
917 
2, 547 
2,671 
2,600 

1,462 
1.398 
1,172 
1,919 
3,018 

3,185 
2,786 
2.099 
1,577 
1.745 

1,438 
1,183 
1,683 
1,736 
3,425 

1,784 
1,436 
1.624 
1.773 

1.898 

2,381 
1.508 
1,859 
1,454 



2 


8 


8 


1~ 


76 


806 


384 


1,642 


13 


7 


11 


56 


173 


622 


440 


1.773 


1 


2 


10 


27 


70 


419 


434 


684 


6 


8 


24 


80 


155 


1,259 


812 


2,445 


7 




9 


109 


130 


1,286 


163 


1,067 


6 


4 


5 


85 


66 


587 


583 


1,742 


6 


1 


7 


57 


229 


763 


430 


1,544 


2 


7 


8 


66 


201 


1.689 


871 


2,374 


16 


1 


12 


36 


383 


567 


324 


1,302 


36 


28 


32 


189 


400 


2,365 


1, 057 


3.926 


2 


15 


4 


38 


25 


626 


289 


1,384 



134 



Table 41. — Number of OJfenses Knotvn to the Police^ 1962, Cities and Towns 
25,000 and Over in Popnlatitni- — (lonliiiiiod 



City 



Murder 
and non- 
negligent 

man- 
slaughter 



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

Sacramento, Calif 

St. Petersburg, Fla 

Salt Lake City, Utab 

Santa Ana, Calif 

Savannah, Ga 



Scranton, Pa 

Shreveport, La... 
South Bend, Ind.. 
Spokane, \Vash.._ 
Springfield, ^Mass. 



Syracuse, N.Y_. 
Tacoma, Wash. 
Topeka, Kans.. 
Torrance, Calif- 
Trenton, N.J... 



Tucson, Ariz 

Utica, N.Y 

Waco, Tex 

Water bury, Conn_. 
Wichita Falls, Tex. 



Winston-Salem, X.C 

Worcester, Mass 

Yonkers, N.Y 

Youngstown, Ohio... 



Cities 50,000 to 100,000 in 
population 



Abilene, Tex 

Abington Township, Pa_ 

Alameda, Calif 

Albany, Ga 

Alexandria, Va 



Alhambra, Calif. _ 

Altoona, Pa 

Amherst, N.Y 

Ann Arbor, Mich. 
Appleton, Wis 



Arlington, Mass... 

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 



Bristol Township, Pa. 

Brockton, Mass 

Brookline, Mass 

Buena Park, Calif 

Bur bank, CaUf 



Criminal 
homicide 



Man- 
laugh- 

ter 

by 
negli- 
gence 



Forci 

ble 

rai)e 



Rob- 
bery 



:39() 
99 

150 
(51 

rjy 
11 

40 
39 
34 
22 

71 

57 
59 
53 
107 

158 

37 

18 
22 

4G 
49 
24 
140 



Aggra- 
vated 
issault 



129 
80 
147 
128 
267 

14 
f)3 
43 
40 

45 

65 
31 
43 
49 
153 

300 

152 

5 
26 

630 
38 
59 
15 



28 

1 

4 

21 

302 



Bur- 
glary— 
break- 
ing or 
enter- 



2,103 
1, 4()8 
1.724 
1,325 
1,214 

446 
749 
626 
642 
556 

947 

772 

738 

1,372 

1,079 

1,978 
288 

1, 252 
638 
678 

917 
1,114 

596 
1,066 



660 
92 
193 

282 
552 

377 
171 
201 
425 
119 

162 
264 
1,263 
269 
277 

239 
396 
210 
172 
150 

274 
395 



80 

168 
382 
363 
266 
475 



Larceny— theft 



$50 
aiid 
over 



1, 626 
()04 

1. 643 
3.50 
593 

101 
433 
409 
415 
392 

903 
542 
296 
708 
430 

1,074 
170 
232 
267 
266 

259 
461 
173 
551 



400 

103 

98 

17 

353 

230 

61 

114 

4.57 

53 

32 

282 
592 
108 
199 

207 
480 
107 
112 
118 

120 
205 
122 
113 
142 

50 
297 
115 
189 
501 



I'nder 

.$50 



4,821 
2,391 
5, 067 
2,467 
1,227 

625 

1,868 
1,899 
2, 916 
1,439 

2.814 
2,404 
1,972 
1.610 
700 

5,770 
892 

1. 966 
604 

1, 765 

1,466 

1,487 

613 

1,457 



1,313 
193 

738 

130 

1.578 

572 

200 

99 

1,191 

701 

106 
680 
670 
220 
523 

626 

2,120 

1,036 

377 

190 

561 
1,322 
620 
242 
317 

340 
558 
534 
617 
1. 1.52 



135 



Table 41. — Niunher of Offenses Known to the Police, 1962, Cities and Towns 
25,000 and Over in Population — Continued 



City 



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



Cedar Rapids, lowa. 

Charleston, S.C 

Charleston, W. Va_ - 
Cheektowaga, N.Y.. 
Chicopee, Mass 



Cicero, 111 

Cleveland Heights, Ohio. 
Chfton, N.J 

Colonie Town, N.Y 

Colorado Springs, Colo.- 



Columbia, S.C 

Compton, Calif 

Council Bluffs, Iowa. 

Covington, Ky 

Cranston, R.I 



Cuyahoga Falls, Ohio. 

Davenport. Iowa 

Decatur, 111 

Downey, Calif 

Dubuque, Iowa 



Durham, N.C 

East Chicago, Ind. 
East Orange, N.J.. 
East St. Louis, 111. 
Euclid, Ohio 



Eugene, Oreg 

Evanston, 111 

Fall River, Mass 

Fayetteville, N.C 

Fort Lauderdale, Fla . 



Fort Smith, Ark. 
Fremont, Calif _ _ 
Fuller ton, Calif.. 

Gadsden, Ala 

Galveston, Tex.. 



Garden Grove, Calif. 
Great Falls, Mont... 

Green Ba v. Wis 

Greenville, S.C 

Greenwich, Conn 



Hamilton, Ohio 

Hamilton Township, N.J. 

Hampton, Va 

Harrisburg, Pa 

Haver ford Township, Pa.. 



Hay ward, Calif 

Hialoah, Fla 

High Point, N.C. - 

llolyoke. Mass 

Huntington, W. Va. 



Iluntsville, Ala 

Independence, Mo. 
Inglewood, Calif... 
Irondequoit, N.Y.. 
Irvington, N.J 



Criminal 
homicide 



Murder 
and non- 
negligent 

man- 
slaughter 



Man- 
slaugh- 
ter 
by 
negli- 
gence 



Forci- 
ble 
rape 



Rob- 
bery 



12 

155 

52 

5 



38 
6 
13 

4 

22 

25 

173 

15 

41 

2 



17 
20 
53 

7 

32 

56 

20 

304 

2 

11 
30 
33 

29 
55 

12 
10 
19 
11 

86 

29 
35 



40 



Aggra- 
vated 
assault 



2 
123 
127 

3 



53 
4 
6 
2 

20 

74 
219 

5 
16 

5 

2 

6 

11 

80 



392 

89 
20 

85 
1 

5 

107 

29 

217 

196 

61 

17 

12 

100 

207 

31 
12 
4 
40 
10 

100 

91 
24 



11 

28 

38 

3 

128 

64 
12 
44 



Bur- 

glary- 
break- 
ingor 
enter- 
ing 



227 

1,098 

180 

171 



224 
81 
190 
150 
329 

877 
1. 361 
309 
532 
262 

117 
510 
503 
715 
126 

358 
233 
551 
802 
62 

366 
244 
651 
338 
900 

278 
422 
427 
362 
692 

864 
570 
160 
990 
103 

253 
241 
613 
511 
103 

509 
648 
271 
254 
420 

563 
292 
1,143 
160 
277 



Larceny— theft 


$50 




and 


Under 


over 


$50 


329 


1,201 


1,151 


2.044 


395 


1.021 


100 


429 


105 


139 


195 


388 


43 


178 


101 


606 


98 


325 


251 


1,066 


556 


1,689 


722 


1.923 


265 


826 


254 


661 


347 


591 


153 


428 


142 


1,796 


303 


1,150 


631 


1,158 


137 


614 


218 


772 


268 


506 


342 


626 


220 


361 


12 


472 


633 


1,271 


308 


1,308 


257 


412 


28 


934 


758 


2,135 


217 


548 


295 


946 


320 


972 


201 


532 


482 


787 


637 


1,534 


326 


1,190 


133 


315 


436 


1,024 


56 


171 


347 


1,023 


151 


402 


398 


768 


242 


603 


76 


275 


448 


1,376 


344 


961 


131 


407 


156 


612 


263 


735 


483 


528 


265 


827 


753 


1.159 


59 


367 


106 


484 



136 



Table 41. — Number of OJfcnsex Knoun to the Police, 1962, Cities and Toivns 
25,000 and Over in Population — (loii tin tied 





Criminal 
homicide 


Forci- 
ble 
rape 


Rob- 
bery 


Aggra- 
vated 
assault 


Bur- 
glary— 
break- 
ing or 
enter- 
ing 


Larceny— theft 




City 


Murder 
and non- 
negligent 

man- 
slaughter 


Man- 
slaugh- 
ter 
by 
negli- 
gence 


$50 
and 
over 


Under 
$50 


Auto 
theft 


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

Jackson, Mich 


3 


4 




13 
4 

19 
11 
4 

3 

15 
9 
3 

8 

116 
15 
39 
49 
13 

26 
17 
34 
18 

8 

8 
41 
15 
6 
4 

5 

9 

62 

8 
4 

19 
33 
20 
16 
17 

6 
35 

5 
17 
12 

21 

85 
10 
9 
2 

41 

10 

42 

1 

57 

165 

4 

22 

18 

13 


•15 

2 

57 
3 

2 
34 

3 
25 
40 

83 

5 
28 
185 
23 

4 

17 
31 

6 

4 

49 
11 
14 
9 

1 

3 

71 
25 
85 
1G2 

15 
13 
40 
18 
35 

5 
33 
35 

1 
24 

34 

295 

5 

5 

56 

61 

4 
29 

60 

253 

35 

29 

27 

9 


231 
13S 
152 
3f;9 
235 

147 
289 
143 
208 
318 

615 
216 
394 
1.028 
375 

336 
396 
193 
298 

258 

151 
854 
154 
157 
133 

184 
243 
1,175 
377 
158 

393 

549 
818 
350 
481 

437 
472 
244 
164 
341 

395 
904 
352 
127 
148 

440 
353 
666 
112 
526 

790 
328 
476 
436 
315 


178 
60 
89 

350 
67 

54 
124 
44 
93 

186 

672 
143 
187 
614 
176 

343 
101 

80 
174 

184 

86 
314 
175 

70 
166 

89 

68 

744 

228 

70 

340 
223 
311 
179 
412 

267 
172 
264 
66 
166 

194 

618 

290 

19 

56 

135 
177 
215 
123 
329 

369 
193 
260 
334 
234 


443 
281 
221 
1,427 
553 

308 

467 
523 
651 
361 

1, 194 

264 

1,404 

1,504 

660 

1,212 

1,035 

417 

455 

359 

663 

928 
282 
595 
399 

142 

369 

1,555 

1,160 

930 

537 
922 
1,101 
448 
502 

450 
650 
386 
263 
1, 512 

2,025 

1.613 

1,226 

256 

635 

108 
685 
1,004 
247 
704 

1,501 

689 

1,380 

1,649 

573 


66 




84 


Joliet, 111 




1 
3 
1 

1 

i 

1 

6 

1 
1 
3 
8 
3 

1 
2 
2 

3 

1 
3 
3 

_. 

1 
6 
3 


2 

4 

1 

2 
.. 

5 

13 
2 
3 

3 

2 
3 
1 

7 

1 

14 
5 
3 
2 

1 


161 






70 


Kenosha, Wis 


3 

1 
2 


92 


Kettering, Ohio 

Lake Charles, La . , 


17 
49 


Lakewood, Ohio 


37 




1 
3 

10 


64 


Laredo, Tex 

Las Vegas, Nev 


127 
484 


Lawrence Mass 


294 


Lawton, Okla 


5 

13 
2 

2 


176 




28() 


Lima, Ohio 


74 


Lincoln Park, Mich 


119 

84 


Lorain, Ohio 


2 

1 


108 


Lowell, Mass.. . _ 


390 


Lower Merion Township, 
Pa 


57 


Lynchburg, Va 


3 

4 


45 




514 


Maiden, Mass 


164 


Manchester, N.H 

Medford, Mass 


3 


155 
116 






124 


Meridian, Miss 


6 
2 
9 

8 

3 
4 

1 


77 


Miami Beach, Fla 


320 


Midland, Tex 


81 


Monroe, La 


2 


3 

1 
5 
9 
2 
3 

2 
2 
4 
-- 

1 
3 

1 
1 

6 
1 

1 
--- 

9 
14 

2 
2 

1 


50 


Mount Vernon, N.Y 

Muncie, Lid 


141 

252 


New Bedford, Mass 


441 
135 


New Rochelle, N.Y 

Newton, Mass 


2 


2 

1 
5 
3 
2 

1 

5 
1 


190 
133 


North Little Rock, Ark.... 
Norwalk, Conn 


5 


113 
94 


Oak Park, 111 




100 


Odessa, Tex 


3 

2 

12 

1 


85 


Ogden, Utah 


316 


Orlando, Fla 


293 


Palo Alto, Calif 


117 


Parma, Ohio 


69 


Pasadena, Tex __ 




2 


63 


Passaic, N.J 




223 


Pawtucket, R.I 


1 
4 


3 
4 
2 
6 

3 

1 

" 7" 


230 


Pensacola, Fla 


20() 


Pittsfield, Mass 


68 


Pomona, Cahf 


1 

4 
6 
1 
4 

1 


245 


Pontiae, Mich . . _ 


175 


Port Arthur, Tex 


65 


Portland, Maine. 


257 


Pueblo, Colo . . ... . 


275 


Quincy, Mass 


356 



6SS7SS°~G8- 



10 



137 



Table 41. — Number of Offenses Known to the Police, 1962, Cities and Towns 
25,000 and Over in Population — Continued 



City 



Murder 
and non- 
negligent 

man- 
slaughter 



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



Racine, Wis 

Reading, Pa 

Redford Townsliip, Mich. 

Reno, Nev 

Richmond, Calif 



Riverside, Calif. 

Roanoke, Va 

Rock Island, 111. 

Rome, N.Y 

Roseville, Mich. 



Royal Oak, Mich 

Saginaw, Mich 

St. Clair Shores, Mich. 

St. Joseph, Mo 

Salem, Oreg 



San Angelo, Tex 

San Bernardino, Calif. 

San Leandro, Cahf 

San Mateo, Cahf 

Santa Barbara, Calif.. 



Santa Clara, Calif... 
Santa Monica, Calif. 
Schenectady, N.Y.._ 

Sioux City. Iowa 

Sioux Falls, S. Dak.. 



Skokie, 111 

Somerville, Mass. 
South Gate, Calif. 

Springfield 111 

Springfield, Mo._. 



Springfield, O'hio. 
Stamford, Conn_. 
Stockton, Calif. _ 
Sunnyvale, Calif. 
Tallahassee, Fla. 



Terre Haute, Ind 

Tonawanda Town, N.Y_ 

Troy, N.Y 

Tuscaloosa, Ala 

Tyler, Tex 



Union City, N.J 

Union Township, N.J 

University City, Mo 

Upper Darby Township, 

Pa 

Vallejo, Calif 



Waltham, Mass 

Warren, Mich 

Warren, Ohio 

Warwick, R.I 

Water ford Township, 
Mich. 



Waterloo, Iowa 

Waukegan, IlL 

Wauwatosa, Wis 

West Allis, Wis 

West Covina, Calif. 



Criminal 
homicide 



Man- 
slaugh- 
ter 
by 
negli- 
gence 



Forci- 
ble 
rape 



Rob- 
bery 



35 
17 

15 

127 

11 

3 

4 

20 
17 

46 
42 
17 

23 

17 

171 

13 



Aggra- 
vated 
assault 



23 



33 
192 

111 
139 

12 
2 

10 

1 

113 

15 

34 

6 



35 



Bur- 
glary— 
break- 
ing or 
enter- 
ing 



312 

426 

209 

638 

1,060 

842 
738 
121 
63 
348 

426 
425 
396 
218 
365 

349 
1,055 
567 
524 
538 

329 
992 
196 
354 
213 

228 
480 
655 
360 
363 

301 
547 
773 
221 
213 

514 
143 
91 
317 

189 

359 
252 
216 

190 
544 

202 
661 
438 
342 

324 

221 

248 
68 
117 
586 



Larceny— theft 



$50 
and 
over 



183 
168 
136 
494 
313 



363 

384 

73 

165 

256 
202 
226 

182 
264 

118 
902 
357 
353 
414 

330 

1,221 

90 

404 

252 

367 
299 
360 
232 
132 

99 
289 
803 
190 

50 

276 
143 
151 
267 
72 

80 
223 
236 

175 
286 

141 

551 
217 
413 

288 

215 
211 
133 
131 
474 



Under 
$50 



1,297 

802 

875 

1,104 

1,965 

2.164 

1,225 

749 

294 

743 

1.534 
1,831 

897 

584 

1.155 

361 
2,010 
1,014 



1,248 

1, 992 

515 

1.167 



379 
917 
545 
855 
1,233 



419 
2,167 
1,096 

679 

939 
218 
125 
185 
409 

179 
419 
553 

901 
1,331 

297 
1, 229 

602 
806 



789 
748 
425 
831 
757 



188 



Table 41. — Number of OJfrnses Kiioiin to the Police, 1962, Cities and Towns 
25,000 and Over in Population — (lonliniied 





Criminal 
homicide 


Forci- 
ble 
rape 


Bob- 
bery 


Aggra- 
vated 
assault 


Bur- 
glary- 
break- 
ing or 
enter- 
ing 


Larceny— theft 




City 


Murder 
and non- 
negligent 

man- 
slaughter 


Man- 
slaugh- 
ter 
by 
negli- 
gence 


$50 
and 
over 


Under 

$50 


Auto 

theft 


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

West TTartford, Conn 




.. 


1 


1 
29 

5 
10 
20 

27 
"3 
101 

11 
2 

49 

16 

2 
11 
11 


44" 

-. 

54 

25 
10 

28 

6 
3 

28 

5 
8 
12 
2 
9 

1 

2 
49 
37 
20 

18 
13 

1 

4 
22 

68 


125 
547 

no 

237 
223 

421 
134 
965 

221 
109 

278 

309 
81 

100 
92 

153 

110 
49 
237 
206 
211 

330 
214 
41 
164 
174 

252 
108 
76 
36 
102 

50 
496 

50 
177 

82 

249 
197 
137 
139 

81 

118 
109 

32 
199 

97 

87 
271 
252 
121 

65 

44 
325 


65 
237 

73 
143 

385 

304 
67 
532 

188 
135 

179 

43 
33 

118 
52 
60 

46 

26 

352 

177 

136 

327 

218 

42 

31 

130 

149 
68 
42 
59 
81 

36 

284 
34 
120 

48 

138 
98 
92 
48 

115 

52 
80 
47 
96 
19 

95 
180 
142 
67 
71 

32 
167 


114 

1, 263 
127 
372 
460 

559 
259 

2, 019 

329 
389 

558 

396 
180 
600 
344 
625 

222 
74 
635 
297 
245 

782 
675 
334 
288 
403 

282 
156 
186 
168 
450 

100 
525 
290 

387 
186 

742 
159 
301 
52 
512 

81 
408 
116 
297 

64 

315 
198 
438 
95 
386 

467 
464 


46 


West Palm Beach, Fla 


3 


161 
30 


Whooline, W Va 




53 


White Plains, N.Y 

Whittier, Calif 

Wilkes-Barre, Pa 


1 

1 


1 


1 

8 
2 
6 

.. 

10 

4 


85 

123 
132 


Wilmington, Del 

Wood bridge Township, 
N.J 


4 


12 

6 
2 

2 

2 

1 


450 
73 


Wyoming, Mich 




48 


York, Pa . . 


4 
2 


146 


Cities 25,000 to 50,000 in 
population 

Alexandria, La 


80 
32 


Allen Park, Mich 




45 


Alliance, Ohio.. 


1 

4 






45 


Alton, 111 


2 


2 


45 


Ames, Iowa 


14 


Amsterdam, N.Y 










14 


Anchorage, Alaska 


5 


2 
2 


11 

5 
6 

2 
2 
1 


18 
26 
20 

13 

8 
4 
4 
6 

3 
2 
2 


232 




138 


Anniston, Ala . 


34 


Arcadia, Calif 

Arlington, Tex 

Arlington Heights, 111 


70 
102 
27 


Ashland, Kv ... _. . 


5 




43 


Ashtabula, Ohio 

Athens, Ga. 


1 

1 
1 
1 
2 


2 

5 


29 
66 


\ttleboro. Mass 


28 






12 


Auburn, N.Y 




14 








2 

2 
23 

4 
11 

2 

8 
5 
3 
3 
4 


75' 
3 
5 
2 

27 

35 

.. 

1 


19 


Baldwin Borough, Pa-- 






2 

8 


8 


Baldwin Park, Calif 

Bangor Maine 


6 




116 

54 






1 


3 


105 


Bartlesville, Okla 


3 
3 


21 


Battle Creek, Mich 


1 


4 
1 


27 
23 


Belleville, 111 






12 


Belleville, N.J 









49 


Bellingham, Wash 




41 


Belmont Mass 








20 


Beloit, Wis 




1 
1 




2 


8 

3 

106 

3 

1 

1 

88 

47 

2 
15 


33 


Bergenfield, N.J. 




7 


Bessemer, Ala 


7 


2 

1 

1 
- 
2 


17 

4 

--- 

14 
11 
3 

1 
16 


81 


Bethel Park, Pa.. 


13 


Beverly Mass 






31 


Beverly Hills, Calif 

Big Spring, Tex . ..... 


1 
2 
2 


3 


90 

58 


Biloxi, Miss. 


107 


Birmingham, Mich 


18 


Bismarck, N. Dak 


1 


1 
1 


.. 


31 


Bloomington, 111 


94 



139 



Table 4^1.— 'Number of Offenses Known to the Police^ 1962, Cities and Towns 
25,000 and Over in Population — Continued 



City 



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



Bloomington, Ind. 

Boise, Idaho 

Bossier City, La.- 



Boulder, Colo 

Bowling Green, Ky. 

Braintree, Mass 

Bremerton, Wash.-_ 
Bristol, Conn 



Brooklyn Center, Minn. 

BrowTisville, Tex 

Bryan, Tex 

Burlington, Iowa 

Burlington, N.C 



Burlington, Vt 

Butte, Mont 

Calumet City, 111.... 
Cape Gti-ardeau, Mo. 
Carlsbad, N. Mex... 



Casper, Wyo 

Champaign, 111 

Charlottesville, Va 

Chelsea, Mass 

Cheltenham TowTiship, Pa. 

Cherry Hill To^\^lship, NJ 

Cheyenne, Wyo 

Chicago Heights, 111 

Chillicothe, Ohio 

Chula Vista, Calif 



Clarksburg, W. Va. 
ClarkstowTi, N.Y.. 

Clearwater, Fla 

Clinton, Iowa 

Columbia, Mo 



Criminal 
homicide 



Murder 
and non- 
negligent 

man- 
slaughter 



Columbus, Miss_. 

Concord, Calif 

Concord, N.H 

Coral Gables, Fla_ 
Corvallis, Oreg... 



Costa Mesa, Calif 

Cranford Towmship, N.J. 

Crystal, Minn 

Culver City, Cahf 

Cumberland, Md 



Daly City, Calif 

Danburv, Conn 

Danville', 111 

Danville, Va 

Daytona Beach, Fla. 



Decatur, Ala 

Denton, Tex :... 

Des Blaines, 111 

Dothan, Ala 

East Cleveland, Ohio. 



East Detroit, Mich.. 
East Hartford, Conn. 



Man- 
slaugh- 
ter 
by 
negli- 
gence 



Forci- 
ble 
rape 



Rob- 
bery 



Aggra- 
vated 
assault 



90 



15 





Larceny 


—theft 


Bur- 






glary— 






break- 






mg or 


$50 




enter- 


and 


Under 


mg 


over 


$50 


135 


114 


512 


215 


283 


779 


107 


118 


135 


68 


292 


813 


160 


127 


281 


84 


207 


99 


138 


111 


707 


140 


56 


207 


49 


60 


203 


382 


191 


1,058 


125 


30 


146 


89 


26 


322 


137 


98 


483 


147 


37 


396 


119 


84 


416 


142 


98 


298 


118 


54 


302 


113 


205 


614 


226 


124 


732 


331 


160 


726 


93 


75 


306 


178 


76 


117 


105 


93 


425 


211 


261 


370 


133 


97 


759 


318 


227 


378 


65 


7 


34 


398 


210 


911 


80 


23 


43 


95 


104 


254 


327 


188 


652 


84 


92 


391 


82 


96 


547 


80 


34 


146 


312 


182 


1,077 


52 


47 


74 


349 


415 


674 


54 


16 


547 


560 


257 


787 


39 


34 


72 


64 


19 


87 


300 


292 


383 


54 


59 


188 


243 


299 


611 


108 


23 


101 


191 


149 


513 


236 


113 


493 


629 


359 


1,230 


149 


44 


249 


76 


87 


355 


73 


139 


272 


95 


50 


182 


120 


76 


405 


267 


170 


706 


194 


140 


311 



140 



Table 41,^Nuniber of OJfenses Known to ihe Police, 1962, Cities and Towns 
25,000 and Over in Population — Conlinuetl 



City 



Cities 25,000 to 50,000 in 
po pulation—Continuvil 



East Lansing, Mich. 
Eastoii, Pa 

East Point, Ga 



East Providence, R.I. 

Eau Claire, Wis 

Edina, Minn 

Edison, N.J 

El Cajon, Calif 



El Cerrito, Calif. 
El Dorado, Ark.. 

Elsin, 111 

Elkhart, Ind 

Elmhurst, 111 



Elmira, N.Y 

El Monte, Calif.. 

Elyria, Ohio 

Enfield, Conn.... 
Englewood, Colo. 

Englewood, N.J.. 

Enid, Okla 

Eureka, Calif 

Everett, Mass 

Everett, Wash.... 



Evergreen Park, 111 

Ewing Township, N.J. 

Fairfield, Conn 

Fair Lawn, N.J 

Falls Township, Pa 



Fargo, N. Dak 

Farmington, N. Mex. 

Ferndalc, Mich 

Findlay, Ohio 

Fitch burc. Mass 



Florence, Ala 

Florence, S.C 

Florissant, Mo 

Fond du Lac, Wis- 
Fort Collins, Colo 



Fort Dodge, Iowa 

Fort Pierce, Fla 

Framinghara, Mass... 

Freeport, 111 

Freeport, N.Y 



Gainesville, Fla 

Galesburg, 111 

Gardena, Cahf 

Garden City, Mich. 
Garden City, N.Y.. 



Garfield, N.J 

Garfield Heights, Ohio. 

Garland, Tex 

Gastonia, N.C 

Glen Cove, N.Y 



Glendale, Ariz 

Gloucester, Mass. 



Criminal 
homicide 



Murder 
and non- 
negligent 

man- 
slaughter 



Man- 
;laugh- 

ter 

by 
negli- 
gence 



Forci- 
ble 
rape 



Rob- 
bery 



Aggra- 
vated 
assault 



44 
110 
139 

173 

57 

121 

233 

282 

136 
109 
103 
112 
47 

157 
557 
129 
65 
99 

165 
137 
76 
208 
266 

85 
132 
281 
85 
52 

128 
117 
212 
110 
215 

69 
165 

72 
100 

82 



1 140 
Incomplete 



Bur- 
glary— 
break- 
ing or 
enter- 
ing 



Larceny— theft 



$50 
and 
over 



52 
63 
108 

126 

32 

96 

134 

213 

59 
38 
89 
99 

85 

117 
141 

35 
50 
180 

59 
80 

176 
68 

151 

64 
105 
159 
136 

29 



179 

48 
125 

26 
103 
61 
38 



Under 
$50 



92 
298 
197 

437 
358 
472 
337 
540 

337 
166 
221 
192 
257 



552 
870 
155 
168 
572 

46 

632 

486 

136 

1,077 

253 
220 
383 
267 



623 
291 
432 

389 
385 

52 
521 
427 
314 
501 

310 



12 


96 


116 


211 


8 


56 


38 


157 


15 


166 


69 


77 


38 


253 


132 


971 


4 


92 


95 


340 


34 


419 


490 


610 




107 


91 


507 


4 


91 


146 


218 


1 


36 


24 


95 




71 


19 


164 


17 


287 


252 


460 


141 


212 


85 


543 


9 


104 


60 


30 


21 


173 


90 


359 


1 


78 


36 


55 



141 



Table 41. — Number of Ojfenses Known to the Police, 1962, Cities and Towns 
25,000 and Over in Population — Continued 





Criminal 
homicide 


Forci- 
ble 
rape 


Rob- 
bery 


Aggra- 
vated 
assault 


Bur- 

&- 

ingor 
enter- 
ing 


Larceny— theft 




City 


Murder 
and non- 
negligent 

man- 
slaughter 


Man- 
slaugh- 
ter 
by 
negli- 
gence 


$50 
and 
over 


Under 
$50 


Auto 
theft 


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

Goldsboro, N.C. 


4 

1 


1 


4 
1 

1 

2 


6 
5 
4 

4 
11 
6 
3 

1 

2 

7 
14 
11 

1 

81 
4 

38 
2 
3 

35 
12 

2 
21 

4 

104 


31 
5 

1 

33 

7 

4 

7 

31 

16 
45 
32 

2 
4 

48 
64 

9 
20 

3 

10 
4 

--- 

5 
39 


247 
169 
71 

246 
230 
145 
158 
163 

163 

179 

249 

70 

80 

316 
215 
77 
159 
277 

541 
181 
27 
194 

72 

488 

57 

212 

249 

408 

239 

69 

407 

468 
106 

247 
64 

178 
83 

199 

101 

63 

99 

148 

229 

145 
80 
86 
120 
110 

131 
93 

59 
117 
66 

203 
172 
184 


120 
84 
90 

188 
52 
199 
197 
83 

86 
126 
95 
32 
94 

324 
167 
106 
81 
111 

294 
131 

46 
167 
105 

492 
35 
104 

78 
207 

227 
71 
50 

269 
16 

147 
96 

192 
95 

127 

26 
68 
46 
119 

140 

73 

21 
64 

75 

78 

41 
86 
27 
41 
100 

175 
65 
92 


417 
668 
329 

553 
529 
723 
289 
319 

216 
220 
469 
389 
203 

657 
510 
328 

284 
281 

529 
621 
129 
145 
212 

1.109 
384 
384 
106 
710 

309 
189 
671 
707 
380 

1.152 
207 
859 
383 

408 

64 
336 

255 
415 
462 

337 
203 
207 

72 
239 

455 
175 
289 
254 
256 

734 
175 

682 


68 


Grand Forks, N. Dak 

Grand Island, Nebr.. 


97 

38 


Grand Prairie, Tex 

Granite City, 111 


1 


58 
62 


Greeley, Colo 


2 




1 


43 


Green burgh, N.Y . . - 


56 


Greenville, Miss 


1 

2 

2 
2 

1 


1 

2 

3 

2 


2 
.- 

1 


39 


Gulfport, Miss 


43 


Hackensack, X.J 

Hagerstown, Md . 


84 
32 


Haltom City, Tex 


60 


Ham den. Conn 


3 

i 

3 


2 

6 
4 


50 




2 


176 


Harlingen, Tex. . 


34 


Harvev,Ill 


1 
1 
1 

1 


98 


Hattiesburg, Miss.. 


66 


Haverhill, Mass 






130 


Hawthorne, Calif 


] 

1 
3 


3 

1 
.. 

1 

3 


158 


Hazel Park, Mich 


92 


Hazleton, Pa_ . 


1 


1-2 


Hempstead, X.Y 


145 


Highland Park, 111 






23 


Highland Park, Mich 

Hilo, Hawaii 


4 


2 


259 
6 


Hobbs,X. Mex 

Hoboken X J 


1 
1 
2 

1 
1 


1 
1 

2 


4 
6 
2 

2 

1 
7 
2 


11 
10 

18 

17 
3 

20 
69 

5 

1 
7 
1 
8 


24 

57 

9 

25' 
11 

25 

7 

8 
3 
14 
3 

10 

1 


47 
285 


Hollywood, Fla 


89 


Hot Springs, Ark 


40 


Houma, La 


34 


Huntington Beach, Calif 


54 


Huntington Park, Calif.-. _ 
Hutchinson, Kans 


1 
1 

1 
1 

1 


-_ 


239 
43 


Idaho Falls, Idaho 


55 


Iowa Citv, Iowa. 


1 


2 
1 


34 


Irving, Tex 


63 


Ithaca, X Y 


31 


Jackson, Tenn. 


1 
2 


f 


3 

1 


29 


Jamestown, X.Y 

Janesville, Wis 


24 
26 


Jefferson City, Mo 


1 
2 
1 


1 
12 
22 

27 
^3 

1 
8 
2 

9 
5 
1 
1 
4 

9 
9 

1 


10 
9 
4 

9 
89 

4 
17 
22 

13 

9 
9 
10 

2 
50 
3 


2'> 


Johnson City, Tenn 

Joplin, Mo 


'-'-"2 


2 

1 

1 
2 

1 
2 


155 
45 


Kankakee, 111... . 


14 


Kannapolis, X.C 


1 


... 

1 


14 


Kearny, X.J 


93 


Key West, Fla 




25 


Killeen,Tex 




68 


Kingsport, Tenn 

Kingston, X.Y. 


1 


1 


1 
2 

1 
9 


36 
53 


Kingsville, Tex .. 






25 


Kinston, X.C... 


3 


1 


64 


Kirkwood, Mo .. . 


22 


Kokomo, Ind 


1 
1 




2 

G 


78 


Lackawanna, X.Y 

La Crosse, Wis 


57 
58 



142 



Table 41. — Number of Offenses Knonn to the Police, 1962, Cities and Towns 
25,000 and Over in Population — Coiilimicd 





Criminal 
homicide 


Forci- 
ble 
rape 


Rob- 
bery 


Aggra- 
vated 
assault 


Bur- 

glary- 
break- 
ingor 
enter- 
ing 


Larceny 


—theft 




City 


Murder 
and non- 
negligent 

man- 
slaughter 


Man- 
slaugh- 
ter 
by 
negli- 
gence 


$50 
and 
over 


Under 

$50 


Auto 

theft 


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

Lafavotte Ind 


2 
1 






3 

12 

10 
10 
2 
1 
16 

4 
2 
5 
3 
11 

2 
12 

1 
3 

8 
4 
6 
47 
14 

1 

10 

1 
20 
4 

9 

2 


4 
16 

7 
6 
2 

io' 

15 

10 

-. 

1 

is' 

12 

5 

7 
11 
32 
20 

9 

10 

24" 

8 

31 


289 
168 

129 
216 
159 

84 
246 

314 

107 
59 

121 
99 

76 
249 

64 
109 

35 

129 
40 
254 
541 
196 

136 

474 
99 

558 
72 

279 
97 

189 
80 

104 

160 
91 
197 
199 
68 

63 
177 
130 
145 
111 

98 
307 

73 
93 
64 

208 
81 
99 
51 
68 

42 
114 

182 


173 
127 

139 
160 
129 
92 
260 

89 
240 
49 
59 
96 

66 
147 
86 
37 
25 

117 
32 
67 

285 
156 

102 

186 
55 

198 
44 

160 
119 
162 
59 
92 

107 

11 

132 

190 

35 

75 
230 
101 
45 
97 

79 
204 

83 

18 
47 

151 
154 
38 
37 
36 

101 
122 
104 


079 
224 

280 
507 
438 
370 
520 

342 

653 
206 
293 
517 

133 

314 

218 

153 

64 

411 

35 
171 

516 

527 

248 

418 
402 
711 
277 

515 
503 
494 
251 
261 

205 
315 
317 
719 
210 

154 
600 
465 
145 
417 

222 
638 

127 
17 

515 

542 

397 

176 

49 

44 

250 

547 
856 


95 


Lafayette, La 




2 

2 
1 
1 


23 


La llabra, Calif 


27 


Lakeland, Fla 


2 




90 


La Mesa, Calif 


38 


liancaster, Ohio 






23 


Las Cruces, N. Alex 


4 


1 


2 

1 
4 


79 
40 


Lawrence, Kans 


36 




1 


24 


Leominster, Mass 


2 
2 

6 
2 


1 

4 

1 

2 

1 
3 
8 
1 

2 

6 
1 

1 


46 


Le wist on, Maine 


3 


30 




32 






137 


Lockport, N.Y 


1 

1 


32 


Lodi, N.J . -. 


58 


Lombard, 111 


7 


Long Beach, N.Y 

Long Branch, N.J 




1 
3 

f 

2 


52 
56 


Longview, Tex 


6 
3 
1 


26 


Lynwood, Calif 


211 


Madison Heights, Mich... 
Manchester Township, 
Conn 


77 
21 


Manhattan Beach, Calif 




68 


Manitowoc, Wis,.. . . 






30 


Mansfield, Ohio 


3 


3 


95 


Maple Heights, Ohio . . 


17 


Marietta, Ga _ . 


1 


2 


3 


129 


Marion, Ind 


62 


Marion, Ohio .. 






3 


76 


Mason City, Iowa 






46 


Massillon, Ohio .. 






1 
10 


8 
28 


6 
16 


40 


Mavwood, 111 ... 


1 




51 


McAUen, Tex 


22 


McKeesport, Pa 


1 


1 


-- 

2 

1 
2 


32 
5 

{) 
8 
4 

4 

2 
14 

2 
1 

1 


23 
9 
1 

16 
9 
13 

5 

14 
9 

3 
2 

4 
4 

1 


90 


Medford, Oreg 


44 


Melrose, Mass 






18 


MenloPark, Calif 

Mesa, Ariz 

Mesquite, Tex 


2 
1 


1 
1 


48 

lie 

34 


Mfthuen, Mass . . 


1 






3? 


Michigan City, Ind 






43 


Middletown, Conn. 




1 

11 
4 


1 
1 

__ 


4^ 


Middletown, Ohio 

Middletown Township, 
N.J 


2 


134 
27 


Middletown Township, Pa.- 
Midland, Mich 




4] 
3] 


Midwest City, Okla 

Milford Town, Conn 

Millcreek Township, Pa... 


1 

1 
1 


2 
i 


2 
1 
2 


8r 

5^ 

24 












K 


Minot, N. Dak 




1 
2 


2 
2 
3 


4 
2 
12 


3 

7 
8 


7t 






4^ 


Missoula, Mont 




lOc 



143 



Table 41. — Number of Ojfenses Known to the Police, 1962, Cities and Towns 
25,000 and Over in Population — Continued 



City 



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



Modesto, Calif- 
Moline, 111 



Monrovia, Calif 

Montclair, N.J 

Montebello, Calif 

Monterey Park, Calif- 
Mountain View, Calif- 



Mount Lebanon Township, 

Pa --_- 

Muskegon, Mich 

Muskogee, Okla 

Nashua, N.H 

Natick, Mass 



National City, Calif.. 

Needham, Mass 

New Albany, Ind 

Newark, Ohio 

New Brunswick, N..T. 

Newburgh, N.Y 

New Castle, Pa 



New Iberia, La 

New London, Conn. 
Newport, Ky 



Newport, R.I 

Newport Beach, Calif. 
Niles,Ill 

Norman, Okla 

Norristown, Pa 



Northampton, Mass 

North Bergen Township, 
N..J 



North Miami, Fla 

North Tonawanda, N.Y 
Norwich, Conn 



Norwood, Mass... 
Norwood, Ohio... 

Nutley, N.J 

Oak Lawn, 111.... 
Oak Park, Mich_. 
Oak Ridge, Tenn. 



Oceanside, Calif. 

Ontario, Calif 

Orange, Calif 

Orange, N.J 



Orange, Tex 

Orangctown, N.Y 

Oshkosh, Wis 

Ottumwa, Iowa 

Overland Park, Kans. 
Owensboro, Ky 



Oxnard, Calif 

Paducah, Ky 

Panama City, Fla. 
Paramus, N.J 



Parkersburg, W. Va 

Park Forest, 111 

Park Ridge, 111 

Parsippany-Troy Hills 
Township, N.J._ 



Criminal 
homicide 



Murder 
and non- 
negligent 

man- 
slaughter 



Man- 
slaugh- 
ter 
by 
negli- 
gence 



Forci- 
ble 
rape 



Rob- 
bery 



18 



Aggra- 
vated 
assault 



1 
15 
47 
Incomplete 



Bur- 
glary— 
break- 
ing or 
enter- 
ing 



40 



653 
187 

268 
195 
455 
248 
130 



70 
280 
166 
186 

59 

218 
44 
90 
111 
295 
186 



Larceny— theft 



$50 
and 
over 



124 
138 

151 
161 

184 
292 
217 



45 
241 
109 
102 

50 

166 
53 
158 
160 
203 
122 



Under 
$50 



1,801 
500 

366 

282 
652 
354 



127 

898 

594 

496 

95 



403 
578 
826 
256 



77 


23 


183 


207 


93 


365 


114 


106 


229 


67 


115 


174 


728 


671 


1,111 


86 


114 


189 


104 


216 


727 


120 


94 


99 


16 


15 


72 


147 


141 


207 


259 


189 


682 


50 


42 


81 


74 


47 


88 


80 


61 


184 


101 


87 


147 


72 


23 


67 


93 


83 


387 


107 


161 


579 


42 


26 


188 


222 


167 


528 


337 


302 


795 


242 


122 


237 


178 


109 


298 


98 


66 


320 


44 


68 


93 


129 


86 


587 


115 


77 


324 


131 


117 


315 


536 


239 


533 


343 


276 


931 


417 


66 


504 


104 


103 


407 


94 


53 


515 


214 


83 


314 


31 


53 


519 


92 


26 


181 


36 


11 


12 



144 



Table 41. — Niiniber of OJfenses Ktunvn to tJir Police, 1962, Cifips and Towns 
25,000 and Over in Popnlalion — (loiiliniied 



City 



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



Poabody, Mass. 
Pekin,Ill 



Ponnsaukon, N.J.. 
Perth Amboy, N.J. 

Petersburg, Va 

Phenix City, Ala.. 



Pine Bluff, Ark_... 

Plainfield, X..T 

Pocatello, Idaho... 
Ponca City, Okhi.. 
Port Chester, N.Y_ 



Port Huron, Mich... 

Portsmouth, X.II 

Portsmouth, Ohio 

Pottstown, Pa 

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



Provo, Utah.. 

Quincy, 111 

Rahway, N.J. 



Ramapo Town, N.Y_.. 
Rapid City, S. Dak__. 

Redlands, CaUf 

Redondo Reach, Calif _ 
Redwood City, Calif_. 



Revere, Mass 

Richfield, Minn 

Richmond, Ind 

Ridgewood, N.J 

Ridley Township, Pa. 



Rochester, Minn 

Rock Hill, S.C 

Rockville Centre, N.Y 
Rocky Mount, N.C.__. 
Rome, Ga 



Roseville, Minn 

Roswell, N. Mex 

St. Cloud, Minn 

St. Louis Park, Minn. 
Salem, Mass 



Salina, Kans 

Salinas, Cahf 

San Bruno, Calif.. 
Sandusky, Ohio... 
Santa Cruz, Calif. 



Santa Fe, N. Max., 
Santa Maria, Calif. 
Santa Rosa, Calif.. 

Sarasota, Fla 

Scottsdale, Ariz 



Selma, Ala 

Shaker Heights, Ohio. 

Sharon, Pa 

Shawnee, Okla 

Sheboygan, Wis 

Sherman, Tex 



Criminal 
homicide 



Murder 
and non- 
negligent 

man- 
slaughter 



Man- 
slaugh- 
ter 

hy 

negli- 
gence 



l<\)rci- 
ble 
rape 



Ro))- 
bery 



Aggra- 
vated 
assault 



Incomplete 
3 



2 

10 

IS.'; 

1 

15 

10 

24 

5 





21 
2 

155 



16 



Bur- 
glar V 
breiik- 
ing or 
enter- 
ing 



Larceny— theft 



$50 
and 



ITnder 
$50 



148 


104 


401 


208 


87 


290 


188 


162 


355 


185 


84 


503 


73 


51 


98 


270 


120 


490 


224 


Kil 


573 


200 


220 


1, 132 


132 


35 


145 


88 


36 


234 


133 


39 


691 


86 


54 


129 


237 


161 


693 


37 


29 


40 


145 


86 


283 


43 


78 


96 


92 


58 


79 


107 


55 


1,149 


186 


140 


199 


105 


67 


276 


67 


62 


88 


292 


402 


1,025 


147 


178 


402 


693 


351 


1, 106 


367 


245 


481 


141 


97 


201 


151 


108 


348 


201 


144 


568 


35 


17 


65 


138 


45 


139 


77 


103 


508 


257 


68 


406 


77 


180 


154 


161 


72 


382 


193 


65 


246 


68 


58 


98 


176 


409 


705 


101 


56 


562 


125 


185 


409 


280 


31 


225 


115 


161 


877 


378 


257 


690 


151 


82 


450 


164 


83 


466 


186 


126 


513 


250 


196 


417 


261 


167 


1, 008 


134 


136 


676 


. 160 


119 


596 


274 


403 


486 


271 


36 


482 


80 




376 


66 


58 


235 


86 


28 


131 


73 


84 


664 


80 


29 


98 



145 



Table 41. — Number of Offenses Known to the Police, 1962, Cities and Towns 
25,000 and Over in Population — Continued 





Criminal 
homicide 


Forci- 
ble 
rape 


Rob- 
bery 


Aggra- 
vated 
assault 


Bur- 
glary— 
break- 
ing or 
enter- 
ing 


Larceny— theft 




City 


Murder 
and non-' 
negligent 

man- 
slaughter 


Man- 
slaugh- 
ter 
by 
negli- 
gence 


$50 
and 
over 


Under 
$50 


Auto 
theft 


Cities 25,000 to 50,000 in 
pop ulation— Continued 


1 






1 
12 

5 

7 

25 

3 


2 

5 
20 

9 
22 

.. 

1 
6 
11 

4 
37 
47 

4 
55 

1 

-_ 

10 
8 
47 
20 
3 
2 

2 
9 
5 

5 

1 
.. 

6 

8 

1 
29 
11 

5 

1 
.. 

4 

1 

152 

95 

-. 

9 

39 
29 

7 

11 
11 


59 
234 
109 
253 
385 

71 
39 
135 
136 

251 

158 
181 
326 
109 
103 

94 
51 
101 
109 
149 

300 
47 

196 

164 
64 

110 

169 

208 

26 

49 

170 

98 
47 
47 

77 

145 
75 
353 
213 
143 

180 
28 
84 
118 
104 

340 
116 

104 
136 
184 

378 
296 
220 

198 

400 


25 
307 
160 
122 
142 

80 
73 

88 
60 

74 

109 
191 

86 
124 

79 

24 
47 
95 
83 
98 

237 
32 

78 
30 
82 
94 

68 
72 
37 
39 

141 

60 
74 
61 

48 

132 
15 
175 
75 
82 

75 
29 
48 
100 
104 

148 
87 
43 

165 
96 

274 

305 

94 

88 

147 


70 
605 
486 
394 

778 

235 
238 
208 
559 
284 

205 
503 
719 
131 
395 

142 
117 
376 
197 
302 

558 
131 
405 
280 
506 
268 

143 
317 

180 
580 

231 
219 
86 
125 
124 

358 
36 
561 
169 
145 

321 
183 
258 
424 
499 

552 
377 
106 
220 

882 

2.258 

778 
505 

242 

822 


8 


Southfield Mich 


4 




75 


Soiitheate Alich 


1 
2 
10 


22 


South San Francisco, Calif. 


1 




80 
150 


Springfield Township, Pa. 


15 


i 




7 


Stratford, Conn 


4 
2 
3 


11 


6 
2 
2 

1 
3 
11 
6 
3 


46 






50 






83 






13 










47 


Temple Tex 


5 
2 


6 
3 
4 


95 


Texarkana, Tex 


52 


Texas City Tex 


28 


Torrington Conn 




28 










2 
11 

8 

7 

6 


31 


Urbana, 111 








20 


Valdosta Ga 






9 








35 


Ventura, Calif 


2 

4 




86 




44 


Victoria, Tex 






5 

15 
4 
6 

3 
2 
2 

1 

7 
5 
1 
1 
3 

1 
5 
14 
6 
3 

.- 

20 
6 
2 

22 

4 

1 

6 

12 

25 
26 
6 

6 

24 


25 


Vineland N J 




7 


52 


Walla Walla, Wash 




33 


Wallingford, Conn 


1 
1 


1 

1 

1 




38 
59 


Watertown, N Y 


69 






28 


Wausau Wis 








25 


Wayne Township, N.J 


3 


1 




45 
11 








23 


Westfield, Mass 




2 




16 


Westfield N J 




45 








60 


West Mifflin. Pa 


1 
1 


1 


37 


Westminster, Calif 


77 


West New York. N J 


81 


West Orange, N.J 




1 




65 






67 


Wheaton, III 






19 


Wilkinsburg, Pa 






124 


Williamsport, Pa 

Wilmette. Ill 


3 






41 
59 


Wilmington, N.C 

Wilson, N.C 


6 
8 
1 
1 


1 
1 
1 
1 




130 
41 


Woburn, Mass 

Woonsocket, R.I 

Wyandotte, Mich 


56 
94 
86 


Yakima, Wash 


2 
2 
2 

2 


3 


120 


Yuma, Ariz 


90 


Zanesville, Ohio. . ... 


121 


Cjuam: Agana 


3 

1 




66 


Isthmus of Panama: 
Canal Zone . 


24 









146 



NOTES 



NOTES 



NOTES 



NOTES 



NOTES 



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