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

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UNIFORM 

CRIME 
REPORTS 



FOR THE UNITED STATES 
AND ITS POSSESSIONS 




ISSUED BY THE 
FEDERAL BUREAU OF INVESTIGATION 
UNITED STATES DEPARTMENT OF JUSTICE 
1/ WASHINGTON, D. C 



Volume XVII 

SEMIANNUAL BULLETIN 



Number 1 
1946 



UNIFORM 
CRIME REPORTS 

FOR THE UNITED STATES 
AND ITS POSSESSIONS 



Volume XVII— Number 1 
SEMIANNUAL BULLETIN, 1946 



Issued by the 

Federal Bureau of Investigation 

United States Department of Justice 

Washington, D. C. 




ADVISORY 



International Association of Chiefs of Police 




UNITED STATES 

GOVERNMENT PRINTING OFFICE 

WASHINGTON : 1946 



>^': <^ /I <> 



««. $. SU^INTENOENT Of DOCUMBiHl > 

6 



SEP 18 1946 

Confenfs 

Page 

Summary of Volume XVII, No. 1 1-2 

Classification of offenses 2—3 

Monthly reports: 

Offenses known to the police — cities divided according to population 

(table 1) 4-5 

Trends in offenses known to the police, January- June 1945-46 (table 

2) - 6-7 

Offenses known to the police — cities divided according to location 

(tables 3-5) 8-11 

Offenses in individual cities over 100,000 in population (table 6) 12-14 

Data from supplementary offense reports (tables 7-9) 14-16 

Rural crime trends (table 10) 17-19 

Police employee data: 

Number of police department employees killed, 1945 (tables 11, 12)__ 20-21 

Number of police department employees per 1,000 inhabitants, April 

30, 1946, cities grouped by size and location (tables 11, 13) 20-24 

Number of police department employees in individual cities, April 30, 

1946 (tables 14, 15) 25-50 

Annual reports: 

Offenses known and offenses cleared by arrest, 1945 — cities divided 

according to population (table 16) 51-55 

Persons charged (held for prosecution), 1945 — cities divided according 

to population (tables 17, 18) 56-59 

Offenses known, offenses cleared and persons found guilty, 1945, part 

I offenses (table 19) 59-62 

Persons charged (held for prosecution) and persons found guilty, 1945, 

part II offenses (table 20) 61 

Persons released (not held for prosecution), 1945 — cities divided ac- 
cording to population (tables 21, 22) 63-65 

Offenses known, offenses cleared by arrest and persons charged, 1945, 

by geographic divisions (tables 23, 24) 66-69 

Data compiled from fingerprint cards, 1946: 

Sex distribution of persons arrested (table 25) 70-7 1 

Age distribution of persons arrested (tables 26, 27) 70-73 

Definition of })art I and part II offense classifications 75-76 

(11) 



UNIFORM CRIME REPORTS 

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



Volume XVII July 1946 Number 1 



SUMMARY 

Urban Crime Trends 

The widespread increase in crime noted last year continued into 
1946 with a 13.0 percent rise recorded during the first 6-month period 
according to the reports of 1,997 cities representing over 88 percent 
of the Nation's urban population. Although each category of crime 
rose, murder and robbery stood out with jumps of 28.5 percent and 
31.8 percent respectively. Negligent manslaughters were up 19.2 
percent and other increases were: Burglary, 17.0 percent; auto theft, 
15.5 percent; aggravated assault, 10.0 percent; larceny, 9.8 percent; 
and rape, 1.6 percent. 

Crime Rates, 1946 

Generally the highest crime rates are in the large cities particularly 
for the more serious offenses, although the smaller cities showed the 
sharpest increases this year in more categories than the larger com- 
munities. The highest rates for crimes against the person are in the 
South Atlantic and East South Central States while the Pacific 
States show the largest figures for offenses against property. 

Value of Property Stolen 

The general increase in the number of crimes committed during 
January-June of 1946 was accompanied by an increase of 4.7 percent 
in the value of the loot taken in the average offense against property. 
Thus, the total value of property stolen in robberies rose 22.1 percent; 
in burglaries, 27.0 percent; in larcenies, 20.4 percent; and in auto 
thefts, 12.6 percent. 

Ninety-six percent of the stolen automobiles and 18 percent of other 
stolen property were recovered. 

Rural Crime Trends 

A 19.6 percent increase in crime was registered in the rural areas 
during the first half of 1946 compared with a similar period of the 
preceding year. The 20.9 percent rise in murders was not so great 
as the upswing in the urban areas but in all other classes the rural 
upward trend was sharper. Most pronounced were the increases in 
robbery (48.4 percent) and auto theft (34.3 percent), while other rural 
crimes rose as follows: Aggravated assault, 23.8 percent; negligent 

(1) 



2 

manslaughter, 22.9 percent; burglary, 17.9 percent; larceny, 13.0 
percent; and rape, 8.3 percent. 

Persons Arrested, January-June 1946 

Of the 309,302 fingerprint arrest records received for filing during 
the first half of this year, 41 percent were arrests for major violations 
and over 10 percent of the total arrests represented females. Despite 
a general leveling off of the upward trend in youths arrested, those 
under 25 years of age represented 55.6 percent of those charged with 
robbery; 62.2 percent of the burglary arrests; and 76.8 percent of the 
arrests for auto theft. 

Of the total arrests 53.4 percent were repeaters and 56.1 percent 
were arrested outside of their State of birth. 

Offenses Cleared by Arrest, 1945 

During 1945 the police arrested the slayer in 85.1 percent of their 
criminal homicide cases and the assailant in 75.9 percent of the crimes 
of rape and other felonious assault. Of the crimes against property, 
25.9 percent were cleared by arrest. For individual offense classes 
the percentage cleared was as follows: Murder, 86.9; negligent man- 
slaughter, 82.7; rape, 74.1; aggravated assault, 76.2; robbery, 36.2; 
burglary, 31.3; larceny, 22.8; and auto theft, 26.4. 

Persons Found Guilty, 1945 

Over 80 percent of the persons charged by the police were found 
guilty in court. The figures ranged from 40.0 percent for negligent 
manslaughter to 89.0 percent for driving while intoxicated. 

Police Department Employees, April 30, 1946 

There were 1.67 police department employees for each 1,000 
inhabitants as of April 30, 1946, according to the reports of 3,178 
cities representing 98 percent of the Nation's urban population. 
The number of employees per 1,000 inhabitants ranged from 0.90 in 
cities under 10,000 in population in the West North Central States 
to 2.84 in New England cities with over 250,000 inhabitants. 

Police Employees Killed, 1945 

Fifty-nine police employees were killed in the performance,^ of their 
law enforcement duties during 1945 in the foregoing 3,178 urban 
communities. While the rate was 4.06 police employees killed per 
5,000,000 inhabitants for the country as a whole, the number killed 
per unit of population was generally higher in the small communities 
than in the large metropolitan cities. 

CLASSIFICATION OF OFFENSES 

The term "offenses known to the police" is designed to include those 
crimes designated as part I classes of the uniform classification occur- 



ring within the pohce jurisdiction, whether they become known to the 
police through reports of police officers, of citizens, of prosecuting or 
court officials, or otherwise. They are confined to the following group 
of seven classes of grave offenses, shown by experience to be those most 
generally and completely reported to the police: Criminal homicide, 
including (a) murder, non negligent manslaughter, and (b) manslaugh- 
ter by negligence; rape; robbery; aggravated assault; burglary ^ — ^break- 
ing or entering; larceny — theft; and auto theft. The figures contained 
herein include also the nimaber of attempted crimes of the designated 
classes. In other words, an attempted burglary or robbery, for ex- 
ample, is reported in the bulletin in the same manner as if the crime 
had been completed. Attempted murders, however, are reported as 
aggravated assaults. 

''Offensps known to the police" include, therefore, all of the above 
offenses, including attempts, which are reported by the law-enforce- 
ment agencies of contributing communities and not merely arrests or 
cleared cases. Offenses committed by juveniles are included in the 
same manner as those known to have been committed by adults, 
regardless of the prosecutive action. Complaints which upon inves- 
tigation are learned to be groundless are not included in the tabulations 
which follow. 

In publishing the data sent in by chiefs of police in different cities, 
the FBI does not vouch for their accuracy. They are given out as 
current information which may throw some light on problems of 
crime and criminal-law enforcement. 

In compiling the tables, returns which were apparently incomplete 
or otherwise defective were excluded. 

In the last section of this bulletin may be found brief definitions of 
part I and II offense classifications. 



MONTHLY REPORTS 

Offenses Known to the Police — Cities Divided According to Population 

Table 1 shows the number of offenses and the rate per 100,000 in- 
habitants recorded during the first 6 months of 1946 by 2,297 cities 
representing a combined population of 67,751,293 (91 percent of the 
urban population of the Nation). The data are presented for the 
cities grouped according to size. 

The primary purpose of such a table is to make it possible for police 
administrators and other interested individuals to compare similar 
data compiled locally with the National average for cities of approxi- 
mately the same size; however, in view of the heavy crime increases 
reported during the first 6 months of 1946 (table 2) it is interesting 
to compare the rates for the various population groups as presented 
in table 1 with a similar tabulation for the first 6 months of 1945 
presented in Volume XVI, Number 1 of this publication. Although 
the tabulations are not based on identical cities the communities for 
the most part are the same and the number of offenses per 100,000 
inhabitants are considered generally comparable. 

Such a comparison reflects substantial increases in crime in each of 
the six population groups with most of the heaviest increases indicated 
for cities with population under 10,000. In fact, an examination of 
the rates for each offense class within each population group reflects 
only four decreases as follows: A slight decrease was recorded in the 
murder classification for cities with population from 50,000 to 100,000; 
offenses of rape showed decreases in cities with population from 100,000 
to 250,000 and in the group with population from 25,000 to 50,000; 
and assaults declined in cities with population from 100,000 to 250,000. 

In all other instances increases were reflected indicating that the 
upswing in crime during the first half of 1946 was not confined to any 
one population group but appeared to a marked degree in cities of all 
sizes. 

The number of offenses per 100,000 inhabitants for the first half of 
this year for individual States may be found in table 4 and for popu- 
lation groups within the nine geographic divisions m table 5. 

(4) 



Table 1. — Offenses known to the police, January-June 1946; number and rate per 

100,000 inhabitants, by population groups 

[Population figures from 1940 decennial census] 



Population group 



TOTAL, GROUPS I-Vl 

2,297 cities; total population, 
67,751,293: 
Number of offenses known . 
Rate per 100,000 

GHOUP I 

36 pities over 250,000; total popula- 
tion, 29,894,166: 

Number of offenses known 

Rate per 100,000 

GROUP II 

55 cities, 100,000 to 250,000; total 
population, 7,792.650: 

Number of offenses known 

Rate per 100,000 

GROUP m 

106 cities, 50,000 to 100.000; total 
population, 7,283,055: 
Number of offenses known 
Rate per 100,000 

GROUP IV 

212 cities, 25,000 to 50,000; total 
population, 7,374,318: 
Number of offenses known 
Rate per 100,000 

GROUP V 

552 cities, 10,000 to 25,000; total 
population. 8.365,127: 

N' umber of offenses known 

Rate per 100,000 



GROUP VI 

1,336 cities under 10,000; total popu- 
lation, 7,041,977: 

Number of offenses known 

Rate per 100,000 



Criminal 
homicide 



Mur- 
der, 
non- 
negli- 
gent 
man- 
slaugh- 
ter 



2,118 
3.13 



1.084 
3.63 



309 
3.97 



162 
2.20 



195 
2.33 



172 
2.44 



Man- 
slaugh- 
ter by 
negli- 



1,532 
2.26 



2.71 



203 
2.61 



142 
1.95 



152 
2.06 



127 
1.52 



99 
1.41 



Rape 



3,955 
5.84 



2,249 
7.52 



329 
4.52 



234 
3.17 



330 
3.94 



355 
5.04 



Rob- 
bery 



20, 356 
30.0 



12, 677 
42.4 



2,800 
35.9 



1,719 
2.3.6 



1,176 
15.9 



1,129 
13.5 



855 
12.1 



Aggra- 
vated 
assault 



21,641 
31.9 



10,611 
35.5 



2,611 
33.5 



2,974 
40.8 



2,288 
31.0 



1,640 
19.6 



1,517 
21.5 



Bur- 
glary— 
break- 
ing or 
enter- 
ing 



115, 321 
197.6 



1 46, 657 
227.5 



252.4 



15, 168 
208. 3 



12, 961 
175.8 



12, 196 
145.8 



8,670 
123.1 



Lar- 
ceny- 
theft 



267. 859 
458.9 



1 97, 229 
474.1 



42, 135 
540.7 



36, 496 
501.1 



35,964 

487.7 



35, 170 
420.4 



20, 865 
296.3 



1 The number of offenses and rate for bm-glary and larceny — theft are based on reports as follows: Group I, 
34 cities, total population, 20,507,837; groups I-VI, 2,295 cities, total population, 58,364,964. 



Trends in Offenses Known to the Police, January-June 1945-46 

Crime rose 13.0 percent during the first half of 1946 compared with 
January-June of the previous year according to the crime reports 
received during both periods from the police in 1,997 cities covering 
over 88 percent of the Nation's urban population. 

Every offense class was up and the increase was pronounced in each 
category, except for rape which rose but 1.6 percent. 

Outstanding in the upward trends are the crimes of murder and 
robbery which jumped 28.5 percent and 31.8 percent, respectively. 
Negligent manslaughters were up 19.2 percent and the other increases 
were: Burglary, 17.0 percent; auto theft, 15.5 percent; aggravated 
assault, 10.0 percent; and larceny, 9.8 percent. 

These trends are particularly alarming when it is remembered that a 
definite rise in crime was recorded in the two preceding issues of the 
Uniform Crime Reports Bulletin (Volume XVI, Numbers 1 and 2). 
The first half of 1945 showed increases which seemed to gather 
momentum through the fall and winter months until by the end of 
1945 a greater and more widespread increase was reflected in the 
figures than was on record for any year since the inception of the 
Uniform Crime Reporting program in 1930. 

The urban crime trend data are presented in table 2 and information 
as to rural trends may be found in table 10. 

Table 2. — Trends in offenses known to the police, January- June 1945-46 
[1,997 cities, total population, 66,045,773; based on 1940 decennial census] 



Offense 


Number of offenses 
January-June 


Change 




1945 


1946 


Number 


Percent 


Total 


460, 303 


520, 307 


+60,004 


+13.0 






Murder and nonnegligent manslaughter 


1,608 

1, 251 

3,786 

15, 236 

19, 248 

100, 960 

247, 745 

70, 469 


2,066 

1,491 

3,845 

20, 085 

21, 176 

118, 120 

272, 126 

81, 398 


+458 

+240 

+59 

+4, 849 

+1, 928 

+17, 160 

+24, 381 

+10,929 


+28.5 




+19.2 


Rape 


+1.6 


Robbery. . . . .... .. 


+31.8 


Aggravated assault .... 


+10.0 


Burglary 


+17.0 


Larceny . ... 


+9.8 


Auto theft 


+15. 5 







711610°- 46- 



8 

Offenses Known to the Police — Cities Divided According to Location 

Crime rates for individual States for the first half of 1946 are shown 
in table 4, and for cities divided according to population group within 
each of the nine geographic divisions, in table 5. It will be observed 
there is considerable variation in the amount of crime per unit of 
population among the several States and geographic divisions of the 
country. This is only to be expected since the volume of crime de- 
pends upon such a large variety of factors, some of which are outhned 
in the text preceding table 6. 

In examining the rates in the following tables it should be remem- 
bered that for the purpose of uniformity the 1940 decennial census 
figures were used in compiling the data and since that time marked 
changes have occurred in the population of many of the cities used. 
For example, it is noted the largest number of offenses against prop- 
erty per unit of population are reported in the Pacific area where sub- 
stantial increases in the urban population are known to have occurred 
during recent years. Generally the highest rates for crimes against 
the person are reported in the South Atlantic and East South Central 
States. 

A comparison of the number of offenses per 100,000 inhabitants for 
the geographic divisions in the following tabulations with similar 
data for the first half of 1945 reflects substantial increases in crime 
in each of the nine geographic divisions. Marked increases were noted 
in the murder and assault rates in the West North Central States. 
Although the robbery figures increased substantially in all geographic 
divisions, the lise was comparatively less pronounced in the East 
North Central, Mountain, and Pacific States, but even in those areas 
the rates rose approximately 20 percent. 

The burglary rates increased most in the West South Central, 
Middle Atlantic, and West North Central States, and the largest 
increase in the larceny rates was noted in the Mountain and West 
North Central States. The auto theft increases were general through- 
out the country although the rise in the West South Central and 
Pacific States was not so pronounced. 

Offenses of each category within each of the nine geographic divi- 
sions showed increases except that murders declined moderately in 
the New England States as did aggravated assaults in New England 
and in the South Atlantic area. 

In table 3 may be found the number of cities used in preparing 
the figures for each of the various subdivisions appearing in tables 
4 and 5. 



9 



Table 3. 



-Number of cities in each State included in the tabulation of uniform 
crime reports, January- June 1946 





Total 




Population group 






Division and State 


Over 
250,000 


100,000 to 
250,000 


50,000 to 
100,000 


25,000 to 
50,000 


10,000 to 
25,000 


Less than 
10,000 


Total: 

Popiilation, 67,751,293 


2.297 


36 


55 


106 


212 


552 


1.336 


New England: 

Population, 6,104,557 


191 


2 


10 


13 


36 


69 


61 




30 
21 
102 
15 
16 
7 

535 




3 


2 

1 
8 
1 
1 


9 
2 
16 
2 
6 
1 

38 


9 

7 

42 

5 

5 

1 

134 


7 






11 




1 


7 


28 


New Hampshire 




1 




3 






5 


Middle Atlantic: 

Population, 19,637,126 


6 


11 


24 


322 




133 
168 
234 

655 


1 
3 
2 

8 


4 
4 
3 

10 


7 
6 
11 

23 


16 
10 
12 

59 


33 
44 
57 

117 


72 


New York 








East North Central: 

Population, 16,581,781 


338 


Illinois 


150 
72 
107 
150 
76 

260 


1 

1 
1 
4 

1 

4 


1 
3 
2 
4 


7 
4 
6 
4 
2 

8 


13 
10 
9 
14 
13 

12 


31 
15 
23 
32 
16 

59 


97 
39 
66 
92 
44 




Michigan .. - 


Ohio 




West North Central: 

Population, 5,386,651 


5 


172 




59 
49 
67 
44 
22 
9 
10 

215 




1 
2 
1 


4 

1 

2" 

1 


6 

1 
1 
2 


9 

15 

11 

12 

6 

3 

3 

49 


39 


Kansas 




30 


Minnesota 


2 
2 


26 






1 


14 


North Dakota 




i 

1 

20 


5 


South Dakota 










South Atlantic: 

Population, 5,919,172 


3 


7 


17 


119 


Delaware 


4 
1 
33 
31 
15 
48 
18 
37 
28 

89 




1 








3 


District of Columbia. .. 
Florida 


1 


.. 


-- 
4 


-. 

1 
2 
4 
2 
5 
2 

10 


-. 

7 
4 
13 
4 
6 
7 

22 


-- 
18 




1 
1 






8 


North Carolina 


1 


4 
2 
3 
3 

4 


26 


South Carolina 




21 
16 






2 






East South Central: 

Population, 2,479,966 


3 


3 


47 




26 
21 
19 
23 

142 


1 

1 




2 

1 
1 


3 
5 

1 
1 

13 


4 
4 
10 
4 

35 


16 


K'pntnflrv 










14 




1 
4 


3 
3 


West South Central: 

Population, 3,936,145 


8 


79 


Arkansas 


17 
21 
31 

73 

99 






1 
1 


1 
3 
2 
7 

7 


5 
4 
10 
16 

24 


10 
12 
17 




1 






2 

1 

1 


Texas. - -. 


3 
1. 


6 
2 




Mountain: 

Population, 1,522,876. 


64 




8 
21 
18 
14 

4 
14 
14 

6 

211 






1 
1 


1 
1 
1 
2 


6 
4 

1 
2 
2 
4 

43 


6 
13 
11 

8 

3 
11 
10 

2 




1 




Idaho 












Nevada 








'NTp'wr MPTiPO 








i 

1 






1 




W^yoming 






Pacific: 

Population, 6,183,019 


5 


5 


7 


17 


134 


California .. .. 


152 
26 
33 


3 


! 3 


7 


13 

1 

: 3 


32 
4 

7 


94 
20 
20 




1 
1 


1 


Washington 


1'" 2 1 



10 



Table 4. — Number of offenses known to the police per 100,000 inhabitants, January- 
June 1946 J by geographic divisions and States 

[Based on 1940 decennial census] 



Division and State 


Murder, 
. nonnegli- 
gent man- 
slaughter 


Robbery 


Aggravated 
assault 


Burglary- 
breaking or 
entering 


Larceny — 
theft 


Auto theft 


Total 


3.13 


30.0 


31.9 


1 197. 6 


1 458. 9 


121.9 






New England 


0.70 


10.0 


6.7 


141.7 


271.8 


86.2 






nnnnfiptif^nt 


.88 


10.3 
10.2 
10.0 
.8 
14.1 
1.3 

13.0 


8.9 
8.1 
4.4 


182.8 
139.5 
128.9 

74.2 
180.7 

61.2 

2 124. 9 


347.2 
292.1 
239.1 
201.1 
336. 
351.7 

2 217. 


74.3 


Maine 


75.7 


Massachusetts 


.73 
.81 
.64 


92.4 
38.9 


Rhode Island 


9.5 
1.3 

17.1 


86.3 


Vermont ... 


79.5 


Middle Atlantic 


1.64 


84.4 






New Jersey 


1.17 
1.64 
1.87 

2.37 


15.6 
8.8 
19.7 

35.1 


26.0 
15.8 
15.3 

24.9 


155.3 
3 107. 8 
M18.6 

179.4 


229.9 

3 253. 3 

4 174. 9 

403.5 


93.7 


New York 


86.0 


Pennsylvania 

East North Central 


76.9 
93.5 






Illinois 

Indiana 

Michigan .. 

Ohio 

Wisconsin 


2.81 
2.49 
1.99 
2.75 
.50 

2.71 


42.4 
28.5 
41.8 
35.3 
3.4 

20.3 


22.5 
29.5 
43.2 
20.0 
3.4 

20.6 


151.7 
216.5 
216.8 
209.3 

72.8 

148.3 


252.7 
465.9 
564.2 
454.6 
370.6 

383.3 


58.4 
136.2 
113.9 
111.8 

73.7 


West North Central 


96.5 






Iowa . 


2.20 
2.34 
.67 
5.34 
1.75 


9.8 
17.4 
11.4 
37.3 
14.7 
9.7 
2.8 

40.8 


5.1 
9.9 
4.7 
50.1 
13.2 
.9 
3.8 

94.4 


138.3 
244.9 

99.6 
159. 5 
154.2 

73.5 
107.1 

230.9 


396.1 
506. 3 
306.4 
366. 8 
449.0 
482.9 
332.6 

632.9 


96.8 


■ Kansas 


111.2 


Minnesota, 


64.4 


Missouri 


103.8 


Nebraska.. . . .. 


143.0 


North Dakota 


63.8 


South Dakota 




73.9 


South Atlantic ' 


7.87 


168.9 






Delaware 

Florida 


3.20 
7.19 

11.33 
4.61 

11.00 
8.85 
9.03 
3.47 

10.20 


46.5 
56.9 
37.0 
32.4 
25.3 
24.9 
60.1 
31.0 

47.3 


3.2 
85.9 
66.6 
64.1 

253.6 
75.7 

105.0 
31.5 

85.0 


265.2 
392.9 
208.2 
131.7 
220.3 
239.9 
266.8 
185.1 

255.7 


590.4 
825.7 
591.2 
256.7 
516.1 
686.6 
651.8 
350. 5 

416.6 


161.0 
185.5 


Georgia . 


156.4 


Maryland 


156.4 


North Carolina 


127.7 


South Carolina 


176.7 


Virginia 


189.0 


West Virginia 


101.3 


East South Central 


164.6 






Alabama 


11.99 
8.27 
9.54 

10.55 

7.55 


28.4 
75.9 
21.0 
49.7 

30.0 


119.7 
70.9 

112.5 
59.0 

54.6 


272.5 
324.4 
192.3 
213.5 

269.2 


392.6 
498.0 
405. 
377.2 

675.4 


144.0 


Kentucky ... 


196.1 


Mississippi 


96.3 


Tennessee . 


181.7 


West South Central 


161.9 






Arkansas. .. 


8.35 
8.05 
2.34 

8.77 

2.36 


48.2 
24.6 
32.1 
29.2 

31.1 


79.7 
55.6 
20.4 
61.1 

20.5 


238.4 
113.4 
315.7 
317.3 

266.2 


432.4 
250.3 
689.9 
857.9 

826.7 


131.3 


Louisiana 


114.6 


Oklahoma 


153.3 


Texas 


167.8 


Mountain 


167. 1 






Arizona 


2.92 
2.54 
1.99 
2.26 
1.79 
1.73 
2.68 
1.33 

2.62 


62.1 
34.5 
11.9 
19.2 
66.4 
18.2 
23.7 
34.7 

81.3 


64.3 
13.6 
.7 
14.7 
19.7 
62.4 
13.4 
5.3 

41.1 


307. 6 
317. 7 
247. 3 
151.8 
545. 5 
143.0 
242.4 
186.6 

347.1 


1,377.8 
642.7 
803.4 
642.7 

1,421.2 
618.7 

1,003.6 
913.0 

977.1 


314.9 


Colorado 


122.3 


Idaho 


146 5 


Montana. . 


102.7 


Nevada 


297.9 


New Mexico 


143.0 


Utah 


182.4 


Wyoming 


104 


Pacific 


296.5 






California . 


2.72 
2.29 
2.25 


87.0 
60.3 
61.5 


48.4 
17.9 
14.1 


337.9 
423.2 
355.9 


993.7 
915.5 
920.1 


291 4 


Oregon 


237 3 


Washington 


348.9 



1 The rates for burglary and larceny are based on the reports of 2,295 cities with a total population of 
J,364,964. 

'2 The rates for burglary and larceny are based on the reports of 533 cities with a total population of 10,250,797. 
3 The rates for burglary and larceny are based on reports of 167 cities. 
* The rates for burglary and larceny are based on reports of 233 cities. 
6 Includes the report of the District of Columbia. 



11 



Table 5. — Number of offenses known to the police per 100,000 inhabitants, January- 
June 1946, by geographic divisions and population groups 

[Based on 1940 decennial census] 



Division and group 



Murder, 
nonnegli- 
gent man- 
slaughter 



Robbery 



Aggra- 
vated 
assault 



Burglary- 
breaking 
or entering 



Larceny- 
theft 



Auto theft 



Total - 



New England 

Qroupl 

Group II 

Group III 

Group IV 

Group V 

Group VI 

Middle Atlantic 

Groupl 

Group II 

Group III 

Group IV 

Group V 

Group VI 

East North Central- 
Group I 

Group II 

Group III 

Group IV 

Group V 

Group VI 

West North Central. 

Groupl 

Group II 

Group III 

Group IV 

Group V 

Group VI 

South Atlantic * 

Group I 

Group II 

Group III 

Group IV- 

Group V 

Group VI 

East South Central- - 



Groupl 

Group II 

Group III 

Group IV 

Group V 

Group VI 

West South Central- 



Group I... 
Group II-. 
Group III. 
Group IV- 
Group V-. 
Group VI. 
Mountain 



Groupl--. 
Group II-. 
Group III- 
Group IV_ 
Group V.- 
Group VI. 
Pacific 



Group I- - . 
Group II.. 
Group Ill- 
Group IV- 
Group v.. 
Group VI. 



3.13 



.70 



.78 
.96 
.42 
.46 
.93 
.51 
1.64 



2.31 
.90 

1.04 
.38 
.65 
.59 

2.37 



3.26 
3.03 
1.16 
1.18 
1.14 
1.53 
2.71 



4.51 
2.91 
2.19 
1.52 
1.05 
.92 
7.87 



7.40 
10.75 
6.71 
6.86 
7.15 
8.66 
10.20 



9.32 
14.74 

6.41 

8.02 
11.71 
10.95 

7.56 



10.23 
4.58 
6.22 
6.51 
6.62 
6.27 
2.36 



4.03 
3.33 
4.25 
1.63 
1.15 
1.48 
2.62 



2.86 
2.84 
2.26 
2.72 
1.98 
2.09 



30.0 



31.9 



197.6 



458.9 



10.0 



20.1 
12.5 
9.2 
8.2 
3.4 
1.0 
13.0 



16.0 

11.9 

16.1 

5.2 

6.6 

5.6 

35.1 



52.6 
40.9 
23.6 
13.2 
13.1 
10.0 
20.3 



34.1 
16.9 
16.4 
11.9 
8.6 
9.0 
40.8 



40.8 
79.7 
30.0 
33.3 
25.4 
21.9 
47.8 



74.5 
55.3 
31.7 
29.0 
19.3 
17.8 
30.0 



41.0 
41.4 
23.7 
21.2 
18.0 
11.8 
31.1 



51.2 
24.7 
45.9 
22.0 
20.4 
27.2 
81.3 



117.3 
63.7 
60.9 
37.4 
38.7 
25.8 



5.7 



141.7 



271.8 



10.6 
7.7 
4.2 
3.9 
2.4 
5.3 

17.1 



124.5 
209.3 
160.3 
121.9 
96.9 
95.1 
2 124. 9 



263.1 
346.3 
320.3 
261.9 
192.7 
167.2 
2 217.0 



19.4 
18.3 



14.7 
9.8 
9.0 

24.9 



159. 8 
154.2 
146.3 
120.6 
95.4 
78.9 
179.4 



178.0 
257.7 
283.0 
281.0 
202.0 
133. 8 
403.5 



35.2 
37.3 
18.2 
10.0 



205.3 
236.2 
176.0 
148.2 
133.5 
101.8 
148.3 



392. 1 
566.4 
457.4 
443.3 
389.7 
236. 5 
383.3 



42.5 
13.3 
7.3 
6.6 
6.8 
4.6 
94.4 



134.2 
186.2 
263. 
134. 3 
139.6 
91.8 
230.9 



349.8 
453.4 
622.7 
472.2 
407.2 
187.0 



57.4 
102.2 
121.2 
142.4 

82.1 
104.2 

85.0 



172.8 
378.6 
240.6 
272.5 
186.7 
14.5. 8 
255.7 



.381. 
760.9 
651. 4 
676.1 
481.2 
288.4 
416.6 



75.4 
38.1 
182.3 
105.2 
89.0 
54.4 
54.6 



299.9 
287.6 
284.1 
247.6 
201.5 



457.6 
441.6 
333. 9 
522.1 
458.0 
127.4 
675.4 



74.5 
34.5 
43.0 
67.9 
28.2 
48.1 
20.5 



324. 2 
3.52. 9 
244.5 
255. 3 
178.8 
144.2 



859.3 

872.7 

599^5 
434.6 
303.8 
826.7 



10.2 
9.3 
54.4 
33.8 
14.3 
20.1 
41.1 



419.3 
285. 5 
313.8 
211.9 
206.4 
196.3 
347.1 



665.0 
962. 4 
960.2 
1, 146. 5 
915.9 
549.6 
977.1 



59.4 
30.8 
24.2 
20.7 
18.5 
18.1 



368.7 
355.8 
365. 
330.4 
311.4 
275.7 



885. 

934.9 

1, 119. 5 

1, 063. 7 

1,313.1 

970.7 



1 The rates for burglary and larceny are based on the reports of 2,295 cities with a total population of 
58,364,964. 

3 The rates for burglary and larceny are based on the reports of 533 cities with a total population of 
10,250,797. 

3 The rates for burglary and larceny are based on the reports of 4 cities. 

< Includes the report of the District of Columbia. 



12 

Offenses in Individual Cities With More Than 100,000 Inhabitants 

The number of offenses reported as having been conunittecl during 
the period of January-June 1946 is shown in table 6. The compila- 
tion includes the reports received from police departments in cities 
with more than 100,000 inhabitants. Pohce administrators and other 
interested individuals will probably find it desirable to compare the 
crime rates of their cities with the average rates shown in tables 1 
and 5 of this publication. Similarly, they will doubtless desire to 
make comparisons with the figures for their communities for prior 
periods, in order to determine whether there has been an increase or a 
decrease in the amount of crime committed. 

Caution should be exercised in comparmg crime data for individual 
cities, because differences in the figures may be due to a variety of 
factors. The amount of crime committed in a community is not solely 
chargeable to the police but is rather a charge against the entire com- 
munity. The folloAvmg is a list of some of the factors which might 
affect the amount of crime in a community : 

Population of the city and metropolitan area adjacent thereto. 

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

The economic status and activities of the population. 

Climate. 

Educational, recreational, and religious facilities. 

The number of police employees per unit of population. 

The standards goverrdng appointments to the pohce force. 

The policies of the prosecuting officials and the courts. 

The attitude of the pubHc toward law-enforcement problems. 

The degree of efficiency of the local law-enforcement agency. 

It should be remembered that the war brought about marked 
changes in some of the foregoing factors in many comLmunities. 

In comparing crime rates, it is generally more important to deter- 
mine whether the figures for a given community show mcreases or 
decreases in the amount of crime committed than to ascertain whether 
the figures are above or below those of some other community. 



13 

Table 6. — Number of offenses known to the police, January-June 1946, cities over 

100,000 in population 

[Based on 1940 decennial census] 



City 



Murder, 
nonneg- 
ligent 
man- 
slaughter 



Robbery 



Aggra- 
vated 
assault 



Bur- 
glary- 
breaking 

or 
entering 



Larceny— theft 



$50 and 
over 



Under 

$50 



Akron, Ohio 

Albany, N.Y 

Atlanta, Ga 

Baltimore, Md 

Birmingham, Ala. 



Boston, Mass 

Bridgeport, Conn. 

Buffalo, N.Y 

Cambridge, Mass. 
Camden, N. J 



Canton, Ohio 

Charlotte, N, C 

Chattanooga, Tenn_ 
Chicago, 111 

Cincinnati, Ohio 



Cleveland, Ohio. 
Columbus, Ohio. 

Dallas, Tex 

Dayton, Ohio 

Denver, Colo 



Des Moines, Iowa- 
Detroit, Mich 

Duluth. Minn 

Elizabeth, N.J. -. 
Erie, Pa 



Fall River, Mass. 

Flint, Mich 

Fort Wayne, Ind. 
Fort Worth, Tex. 
Gary, Ind 



Grand Rapids, Mich. 

Hartford, Conn 

Honolulu, T. H 

Houston, Tex 

Indianapolis, Ind 



Jacksonville, Fla... 
Jersey City, N. J... 
Kansas City, Kans. 
Kansas City, Mo.- 
JCnoxvUle, Tenn. . . 



Long Beach, Calif_ 
Los Angeles, Calif- 
Louisville, Ky -. 

Lowell, Mass 

Memphis, Tenn— 



Miami, Fla 

Milwaukee, Wis... 
Minneapolis, Minn. 

Nashville, Tenn 

Newark, N. J 



New Bedford, Mass. 
New Haven, Conn.. 

New Orleans, La 

New York, N. Y.2._ 
Norfolk, Va 



Oakland, Calif. 
Oklahoma City, 
Omaha, Nebr.. 
Paterson, N. J. 
Peoria, 111 



Okla. 



14 
22 
124 
23 

27 
9 
40 
16 
13 

5 

48 
1 
2 



29 

2 

19 

10 

1 

4 

19 

10 

2 
2 

44 
160 
27 

11 
5 
7 
3 



128 

18 

163 

288 

84 

143 
8 

35 
15 
42 

50 

30 

62 

1,946 

226 

371 
198 
145 
98 
165 

7 

1,119 

9 

13 

8 

12 
44 

8 
45 
74 

14 
40 
37 
166 

187 

192 



43 
223 



145 



93 
404 
91 
33 

20 

.183 

1 

16 

28 

4 

76 
45 
88 
111 

16 
41 
52 
124 
151 



768 
167 
772 
1,118 
862 

621 
197 
452 
150 



235 

268 

296 

5,508 

1,190 

1,278 
1,492 
1,649 
571 
1.352 

195 
4,465 
93 
140 
184 

262 
298 
182 
430 
324 

240 

592 

462 

1,828 

1,200 



278 
74 
539 
517 
382 

616 
176 
132 
21 

85 

120 
176 
119 
3,285 
563 

318 
851 
328 
144 
531 



76 
51 
43 

52 
219 
114 
160 
123 

79 
211 
160 
508 
386 



112 I 700 505 

Complete data not received 



261 
1.576 
1,625 

851 

1,087 
429 



160 

383 

418 

290 

4,405 

1,612 

3,939 
1,210 
3.405 
1,187 
1,613 

683 
8,043 
386 
154 
264 

213 
867 
456 
1,478 
490 

1,275 
766 
1,008 
6,694 
1,643 

819 



45 


14 


254 


129 


244 


308 


346 


899 


567 


1,532 


35 


51 


303 


226 


281 


122 


78 


781 


0) 


1,416 


1,836 


1,101 


5,763 


5,384 


8,445 


396 


307 


1,351 


714 


1,059 


10 


3 


109 


33 


122 


175 


290 


425 


281 


738 


131 


252 


1,001 


624 


708 


26 


42 


381 


385 


1,672 


92 


21 


558 


485 


942 


128 


74 


572 


263 


619 


168 


225 


1,054 


441 


716 


27 


6 


369 


87 


487 


18 


15 


436 


98 


575 


167 


282 


474 


349 


533 


807 


1,376 


2,410 


0) 


6,920 


238 


171 


618 


441 


879 


400 


253 


1,323 


312 


2,436 


81 


60 


703 


164 


1,670 


37 


46 


358 


185 


723 


24 


45 


299 


68 


190 


48 


72 


316 


83 


442 



See footnotes at end of table. 



14 



Table 6. — Number of offenses known to the police, January-June 1946, cities over 
100,000 in population — Continued 



City 



Philadelphia, Pa- 
Pittsburgh, Pa... 
Portland, Oreg... 
Providence, R. I- 
Reading, Pa 



Richmond, Va 

Rochester, N.Y._ 
Sacramento, Calif. 

St. Louis, Mo 

St. Paul, Minn-— 



Salt Lake City, Utah. 

San Antonio, Tex 

San Diego, Calif 

San Francisco, Calif- . 
Scran ton, Pa 



Seattle, Wash 

Somerville, Mass. 
South Bend, Ind.. 
Spokane, Wash,-. 
Springfield, Mass- 



Syracuse, N. Y. 
Tacoma, Wash- 

Tampa, Fla 

Toledo, Ohio.- 
Trenton, N. J.. 



Tulsa, Okla 

Utica, N. Y 

Washington, D. C. 

Wichita, Kans 

Wilmington, DeL. 



Worcester, Mass.-. 

Yonkers, N. Y 

Youngstown, Ohio. 



Murder, 
nonneg- 
ligent 
man- 
slaughter 



Robbery 



333 

255 

63 

8 

112 

12 

121 

232 

48 

37 
107 
125 

780 

7 

385 
15 
33 



14 
42 
40 
96 
29 

91 

3 

294 

24 

58 

22 

6 

110 



Aggra- 
vated 
assault 



142 
73 
35 



160 
21 
31 

446 
35 

14 
253 

92 
364 

30 

61 
1 

21 
4 

17 

10 
12 
105 
86 
36 

33 

5 

293 

15 
3 

7 

7 

37 



Bur- 
glary- 
breaking 

or 
entering 



2,327 

1.321 

1,614 

654 

124 

584 
373 
429 
819 
402 

428 
678 
413 
1,265 
134 

1,502 
200 
309 
464 
206 

316 
421 
332 
736 
360 

717 
130 
1,262 
443 
300 

330 
116 
272 



Larceny— theft 



$50 and 
over 



0) 



792 

230 

29 

392 

120 
288 
) 
118 

203 
299 
467 
904 
57 

650 

28 
135 

86 

87 

186 
180 
213 
283 
110 

333 
53 

665 
93 

164 

149 
25 



Under 
$50 



703 
523 
2.087 
862 
194 

1,233 

727 

962 

2,374 

961 

1,240 
1,151 
1,352 
4,322 
213 

2,213 
147 
585 
939 
349 



901 

533 

1,306 

249 

870 
218 
2,129 
793 
538 

475 
209 



Auto 
theft 



1,345 
930 
833 
328 

84 

524 
300 
272 
971 
101 

302 
595 
785 
2,116 
116 

1,711 

93 

101 

244 

126 

216 
364 
196 
411 
141 

336 
81 
1,073 
113 
196 

182 

78 



1 Larcenies not separately reported. Figure listed includes both major and minor larcenies. 

2 Figures include offenses committed by juveniles; this is in accord with the uniform reporting procedure 
followed by other cities. 

Supplement to Return A Data 

A detailed analysis of the Supplement to Retui'n A reports received 
from 65 cities with over 100,000 inhabitants during the first halves of 
1945 and 1946 is presented in the following tabulations. The trends 
reflected, though generally similar, are not identical to those shown 
in table 2 since the following data are based on a more limited number 
of cities. 

The analysis reflects little change in the rape figures, 63.5 percent 
of the total reported during the first 6 months of 1946 being classified 
as forcible in nature. 

The majority (68.6 percent) of the robberies during the first half 
of 1946 occurred on public streets and 19.3 percent were robberies in 
commercial houses other than oil stations, chain stores, and banks. 
These two types of robbery offenses increased 18.2 percent and 93.1 
percent respectively over the figures for the first 6 months of 1945. 

Residence nighttime burglaries increased 16.3 percent while those 



15 

committed during the day went up only 1.7 percent. Among the 
nonresidence burglaries, however, the heaviest increase (19.2 percent) 
was seen for the daylight offenses while those committed under cover 
of darkness increased 14.9 percent. 

Considering the value of the property stolen in larceny offenses, 
the greatest increase was for thefts involving property valued at $50 
and over which went up 17.8 percent during the first half of 1946. 
With the larcenies grouped according to type of offense the more 
pronounced increases were for shoplifting, 22.4 percent, and for thefts 
from automobiles (excluding auto accessories) which rose 21.8 percent. 
Of the total larcenies reported 30.9 percent were thefts of some type 
of property from automobiles and 12.5 percent were bicycle thefts. 



Table 7. — Number of known offenses with divisions as to the nature of the criminal 
act, time and place of commission, and value of property stolen, January-June 
1945-Jf6; 65 cities over 100,000 in population; total population, 22,340,814 



[Population figures from 1940 decennial census] 






Classification 


Number of offenses 


Percent 


1945 


1946 


change 


Rape: 

Total 


1,653 


1,523 


-1.9 






Forcible 


982 
571 


967 
556 


-1.5 


Statutory 


-2.6 






Robbery: 

Total ._ . - - -- 


8,404 


11,013 


-1-31.0 






Highway 


6,393 

1,103 

204 

20 

389 

19 

276 


7,554 

2,130 

349 

54 

499 

9 

418 


-hl8.2 


Commercial bouse ------ - -. . - ---.. 


-f93.1 


Oil station 


+71.1 


Chain store 


-i-170. 




4-28.3 


Bank 


-52.6 


Miscellaneous - . - . -.- -.- -._.---- - - . 


4-51.4 






Burglary— breaking or entering: 

Total 


43, 887 


49, 857 


4-13.6 






Residence (dwelling) : 


12. 430 
6,258 

23, 294 
1.905 


14,450 
6,364 

26, 773 
2,270 


4-16.3 


Committed during day 


4-1.7 


Nonresidence (store, office, etc.) : 

Committed during night 

Committed during day. . . . -- -- - - 


4-14.9 
4-19.2 






Larceny— theft (except auto theft) (grouped according to value of 
article stolen): 
Total 


93, 365 


102, 239 


4-9.5 






$50 and over . - - - - - - 


21,019 
56, 328 
16,018 


24,750 
60, 612 

16, 877 


4-17.8 


$5 to $50 


4-7.6 


Under$5-- 


4-5.4 






Larceny— theft (grouped as to type of offense) : 

Tola!-- - - 


93, 365 


102, 239 


-h9.5 






Pocket-picking .-- 


1,725 
3,455 
2,580 
16, 891 
10, 069 
12, 895 
45,750 


1,747 
3,035 
3,157 
20, 578 
10, 988 
12, 803 
49, 931 


4-1.3 


Purse-snatching ... _ . .. 


-12.2 


Shoplifting ... .- . 


4-22.4 


Thefts from autos (exclusive of auto accessories) 


4-21.8 




4-9.1 


Bicycles 


-.7 


All others 


4-9.1 







16 



As mdicated in table 8 the average value of property stolen per 
ofFeDse increased 4.7 percent dui'ing the first half of this year m the 65 
cities with over 100,000 inhabitants represented. These same cities 
reported a 12.1 percent rise in the number of crimes against property 
committed and the result of the combination of upward trends in the 
nmnber of offenses committed and the average value of property 
stolen per offense is seen in the figures representing the total value of 
property stolen which rose 17.1 percent during the first half of this 
year, from $29,794,927 in the first half of i945 to $34,825,026 durmg 
the first half of 1946. 

Table 8. — Value of property stolen, hy type of crime, January- June 1945-46; 65 

cities over 100,000 in population; total population, 22,340,814 

[Population figures from 1940 decennial census. All values have been rounded off to even dollars] 





Number of offenses 


Value of property stolen 


Average value per offense 


Classification 


-.945 


1946 


Percent 
change 


1945 


1946 


Percent 
change 


1945 


1946 


Percent 
change 


TotaL 


175, 074 


196, 245 


+12.1 


$29, 794, 927 


$34, 885, 026 


+17.1 


$170 


$178 


+4.7 


Robbery 


8,404 
43, 887 
93, 365 
29, 418 


11,013 
49, 857 
102, 239 
33, 136 


+31.0 

+13.6 

+9.5 

+12.6 


$1,303,634 
5, 543, 001 
5, 280, 185 

17, 668, 107 


$1, 592, 155 
7, 042. 226 
6, 357, 708 

19, 892, 937 


+22.1 
+27.0 
+20.4 
+12.6 


$155 

126 

57 

601 


$145 

141 

62 

600 


-6.5 


Burglary 

Larceny— theft- 
Auto theft 


+11.9 

+8.8 

-.2 



The 64 cities over 100,000 in population represented m table 9 
recovered 62.3 percent of the property stolen dm^ing the first half of 
1946 as compared with a 66.8 percent recovery during a similar period 
of 1945. 

Exclusive of automobiles, the percentage of property recovered 
decreased from 21.1 during the first six months of 1945 to 18.3 during 
January-June of 1946. 

The police in the 64 cities represented in table 9 reported the theft 
of 33,136 automobiles dm-ing the first half of 1946 and recoveries total 
31 ,840, or 96.1 percent of the number stolen. This compares with 97.4 
percent for the first 6 months of the previous year. 

Table 9. — Value of property stolen and value of property recovered hy type of prop- 
erty, January-June 1945-46; 64 cities over 100,000 in population; total population, 
22,167,749 
[Population figures are from 1940 decennial census. All values have been rounded off to even dollars] 





1945 


1946 


Type of property 


Value of 

property 

stolen 


Value of 
property 
recovered 


Percent re- 
covered 


Value of 

proi)erty 

stolen 


Value of 
property 
recovered 


Percent re- 
covered 


Total 


$29. 335, 112 


$19, 609, 618 


66.8 


$34, 372, 606 


$21, 403, 557 


62.3 






Currency, notes, etc 


3, 655, 406 
2, 642. 282 
693,112 
1, 092, 860 
17, 402, 629 
3,848,823 


585, 369 

492, 416 

80, 794 

233,012 

17, 090. 808 

1, 127, 219 


16.0 
18.6 
11.7 
21.3 
98.2 
29.3 


4, 670, 914 
3,031,876 
825, 666 
1, 605, 014 
19, 631, 587 
4,607,449 


534, 410 

524, 681 

64,665 

268, 158 

18, 703, 864 

1, 307, 779 


11.4 


Jewelry and precious metals. . 
Furs 


17.3 

7.8 


Clothing 


16.7 


Locally stolen automobiles 

M iscellaneous 


95.3 
28.4 







17 

Rural Crime Trends, January-June 1945-46 

A 19.6 percent crime increase in the rural areas was registered dur- 
ing January-June of 1946 compared with the same period of 1945, 
and the rural upswing was more pronounced than the increase in the 
urban places for each offense class except murder, which rose 20.9 
percent as compared with a 28.5 percent increase in the cities. 

The unusual robbery and auto theft increases in the rural areas of 
48.4 percent and 34.3 percent, respectively, exceeded by far the urban 
crime increases of 31.3 percent for robbery and 15.5 percent for auto 
theft. Aggravated assaults in the rural areas were up 23.8 percent 
the first half of this year as compared with a 10.0 percent rise in the 
cities, and rural neghgent manslaughters increased 22.9 percent as 
compared with a 19.2 percent increase in the urban communities. 

The rural burglary increase of 17.9 percent exceeded only slightly 
the 17.0 percent increase in the urban trends while other thefts im- 
accompanied by the elements of robbery or burglary increased 13.0 
percent in the rural areas as compared with a 9.8 percent rise in the 
urban communities. Although rape offenses in the urban areas 
changed only slightly (+1.6 percent), these crimes rose 8.3 percent 
in the rural areas during the first half of 1946 as compared with the 
similar period of 1945. 

Table 10 presents the available information as to rural crime dur- 
ing January-Jmae of 1945-46, and although the figures are not based 
on reports received from identical agencies in both periods "^^he com- 
bined population represented both years is in excess of 36,000,000. 
The figures are presented in terms of the number of offenses per 100,000 
inhabitants and these data are considered generally comparable. 

Some of the rural reports used in compiling the data in table 10 
showed very few crimes and may have been based on arrest records 
rather than on a record of reported offenses. Thus, for offenses 
against property, where the proportion of reported crimes followed 
by the arrest of the offender is comparatively low, some incomplete- 
ness probably exists and the figures should be considered conservative. 



18 



IVlOi 



iJBHi oinv 




19 



Table 10. — Offenses known, rural areas, number and rate per 100,000 inhabitants, 

January- June 1945-46 

[1945 figures based on reports of 1,659 sheriffs, 130 rural village officers, and 12 State police organizations, 
representing a combined population of 36,262,306; 1946 figures based on reports of 1,633 sheriffs, 135 rural 
village officers, and 12 State police organizations, representing a combined population of 36,337,661. Popu- 
lation figures from 1940 decennial census] 



Offense 


Number of offenses 


Rate per 100,000 
inhabitants 


Percent 
change in 




1945 


1946 


1945 


1946 


rates 


Total- 


66, 837 


80. 109 


184.3 


220.5 


+19.6 






Murder and noimegligent manslaughter. _. 
Manslaughter by negligence, . . _ _ 


904 
616 
1,839 
2,320 
5,198 
18, 858 
27, 376 
9,726 


1,095 

760 

1,995 

3,465 

6.443 

22, 276 

30, 980 

13, 095 


2.49 
1.70 
5.07 
6.4 
14.3 
52.0 
75.5 
26.8 


3.01 

2.09 

5.49 

9.5 

17.7 

61.3 

85.3 

36.0 


+20.9 
+22.9 


Rape - 


+8.3 


Robbery 


+48.4 


Aggravated assault . 


+23.8 


Burglary — breaking or entering 


+17.9 


Larceny — theft . . .- _ 


+13.0 


Auto theft 


+34. 3 







POLICE EMPLOYEE DATA 

Police Killed, 1945 

There were 59 police employees killed iii the performance of their 
law-enforcement duties during 1945 in the 3,178 cities represented in 
the following tables. This includes not only those wilfully killed by 
criminals but also those killed in traffic accidents and the like while 
on active duty with the department. In each instance where a depart- 
ment reported an employee killed during 1945 the figures were verified 
by separate correspondence to insure they did not include any killed 
in the Armed Services and included only those killed while on active 
duty with the local department. 

Information as to the number of police employees killed during 1945 
is presented in table 12 and for the geographic divisions and population 
groups the table show^s the number killed per 5,000,000 inhabitants. 

The figures reflect a rate of 4.06 employees killed per 5,000,000 
inhabitants. With the cities divided into population groups it appears 
the highest rates were reported by cities with population under 25,000 
and for individual geographic divisions the highest rates are shown in 
the Mountain, West South Central, and Pacific States. 



Table 11. — Nu^nber of cities used in tabulations regarding number of police 
department employees, Apr. 30, 1946, and police killed, 1945 



[Population figures from 1940 decennial censnsl 








Total 


Population group 


Division 


Group I 


Group II 


Group III 


Group IV 


Group V 


Group VI 




Over 
250,000 


100,000 to 
250,000 


50,000 to 
100,000 


25,000 to 
50,000 


10,000 to 
25,000 


Less than 
10,000 


Total: 

Population represented 


72, 679, 100 
3,178 


29, 894, 166 
36 


7, 792, 650 

55 


7, 343, 917 
107 


7, 417, 093 
213 


9, 575, 400 
638 


10, 655, 874 
2 129 






New Enc^land: total popula- 
tion, 6,342,604 


223 
688 
690 
370 
356 
175 
290 
162 
234 


2 
6 
8 
4 
3 
3 
4 
1 
6 


10 
11 
10 
5 
7 
3 
3 
1 
5 


13 
24 
23 
8 
17 
4 
9 
2 
7 


36 
38 
60 
12 
20 
10 
13 
7 
17 


76 
158 
125 
67 
62 
29 
48 
26 
47 


86 


Middle Atlantic: total popula- 
tion, 20,578,996 


451 


East North Central: total 
population, 17,333,528 

West North Central: total 
population, 5,923,590 


464 
274 


South Atlantic: total popula- 
tion, 6,670,290 


247 


East South Central: total 
population, 2,965,301 


126 


West South Central: total 
population, 4,775,077 


213 


Mountain: total population, 
1,764,118 - 


115 


Pacific: total population, 
6,325,596— 


153 







(20) 



21 



Table 12. — Number of -police department employees killed, 1945, by geographic 
divisions and population groups (based on 1940 decennial census) 

llncludes only those employees killed while on active duty with their local police agencies! 





Total 


Population group 


Geof^raphiv division 


Number 


Rate 
per 
5,000,000 
inhabi- 
tants 


Over 
250,000 


100,000 

to 
250,000 


50,000 

to 
100,000 


25,000 

to 
50,000 


10,000 

to 
25,000 


Less 
than 
10,000 


Total: 

Number.. _- 


59 




24 
4.01 


5 
3.21 


3 

2.04 


3 
2.02 


9 
4.70 


15 


Rate per 5,000,000 in- 
habitants 


4.06 


7 04 








New England,. 


1 

11 
13 
6 
8 
1 
7 
3 
9 


0.79 
2.67 
3.76 
5.06 
6.00 
1.69 
7.33 
8.50 
7.11 


1 
6 
6 
2 
2 












Middle Atlantic 


1 

1 






1 
3 

1 
1 
1 
1 


3 


East North Central 




1 
1 


2 


West North Central 




2 


South Atlantic . 


1 


1 


3 


East South Central 




West South Central 


2 

1 
4 




2 




2 


Mountain . .- - - 




1 


1 


Pacific 


2 




1 


2 











Number of Police Employees, April 30, 1946 

A total of 121,113 employees were reported as of April 30, 1946 
by the police departments in 3,178 cities representing 98 percent of the 
urban population of the country. Of the total employees reported, 
8,832 were classified as civilians without police power and 112,281 
were police officers. Except in isolated instances, substantially all 
departments operate on a three-shift basis which means that on the 
average the lives and property of 72,679,100 persons in the reporting 
cities are protected by approximately 37,400 police officers on duty 
at any one time, or one police officer for each 1,900 citizens. As a 
matter of fact the figure is probably closer to 2,000 considering the 
number of officers assigned to inside administrative duties and days 
lost due to vacations, sickness, or other causes. 

Including civiHans the ratio between the number of police employees 
to population is 1.67 employees per 1,000 inhabitants for the reporting 
cities as a group. Among the geographic divisions the figures range 
from 1.24 in the West South Central and Mountain States to 1.93 in 
the Pacific area. Generally the most police employees per unit of 
population are found in the larger cities with those over 250,000 in 
population reporting 2.14 per 1,000 inhabitants and communities 
under 10,000 showing 1.12. 

During the war years the police employee surveys were limited to 
cities with population in excess of 25,000 and during this period the 
number of employees steadily declined until this year as indicated in 
the following figures : 



22 




23 



Cities over 25,000 in population 



Number of employees 
per 1,000 inhabitants 



Date: 

April 30, 1942 1. 83 

April 30, 1943 1. 77 

April 30, 1944 1.73 

April 30, 1945 1. 68 

April 30, 1946 1.86 

The number of police employees reported as of April 30, 1946 and 
the number per 1,000 mhabitants are shown in table 13. The data 
are subdivided according to population groups and geographic divi- 
sions. The number of cities used in compiling the data is presented 
in table 11. 



Table 13. — Police department employees, Apr. 30, 1946, number and rate per 
1,000 inhabitants, by geographic divisions and population groups 

[Population figures from 1940 decennial census] 







Population group 




Group I 


Group II 


Group III 


Group IV 


Group V 


Group VI 


Division 


Total 
















Over 


100,000 

to 
250,000 


50,000 to 


25,000 to 


10,090 to 


Less than 






250,000 


100,000 


50,000 


25,000 


10,000 


Total: 
















Number of police employees. . 


121, 113 


63, 994 


12, 119 


11, 136 


10, 104 


11, 796 


11,964 


Average number of employees 
















per 1 ,000 inhabitants 


1.67 


2.14 


1.56 


1. 52 


1.36 


1.23 


1.12 


New England: 
















Number of police employees . . 


11, 183 


2,904 


2,633 


1,648 


2,047 


1,417 


534 


Average number of employees 
















per 1 ,000 inhabitants 


1.76 


2.84 


1.94 


1.72 


1.58 


1.21 


1.00 


Middle Atlantic: 
















Number of police employees. _ 


38, 594 


25, 522 


2,483 


2,793 


1,948 


3,185 


2,663 


Average number of employees 
















per 1 ,000 mhabitants 


1.88 


2.24 


1.73 


1.71 


1.47 


1.29 


1.15 


East North Central: 
















Number of police employees. _ 


27, 730 


16,901 


1,831 


2,171 


2,473 


1,968 


2,386 


Average number of employees 
















per 1 ,000 mhabitants 


1.60 


2.13 


1.23 


1.40 


1.15 


1.05 


1.01 


West North Central: 
















Number of police employees _ _ 


7,990 


3,947 


853 


604 


405 


1,033 


1,148 


Average number of employees 
















per 1,000 inhabitants 


1.35 


1.98 


1.18 


1.10 


1.02 


1.05 


.90 


South Atlantic: i 
















Number of police employees . . 


11,515 


4,248 


1,657 


1,632 


1,076 


1,332 


1,570 


Average number of employees 
















per 1,000 inhabitants 


1.73 


2.33 


1.65 


1.48 


1.57 


1.48 


1.36 


East South Central: 
















Number of police employees . . 


3,796 


1,088 


516 


465 


466 


568 


693 


Average number of employees 
















per 1 ,000 mhabitants 


1.28 


1.24 


1.27 


1.66 


1.44 


1.26 


1.11 


West South Central: 
















Number of police employees _ . 


5,902 


2,017 


747 


891 


549 


734 


964 


Average number of employees 
















per 1 ,000 inhabitants 


1.24 


1.41 


1.42 


1.36 


l.?8 


1.06 


.92 


Mountain: 
















Number of police employees . _ 


2,193 


484 


171 


179 


294 


455 


610 


Average number of employees 
















per 1 ,000 inhabitants 


1.24 


1.50 


1.14 


1.52 


1.20 


1.20 


1.11 


Pacific: 
















Number of police employees . . 


12, 210 


6,883 


1,228 


753 


846 


1,104 


1,396 


Average number of employees 
















per 1 ,000 inhabitants 


1.93 


2.21 


1.74 


1.55 


1.53 


1.66 


1.74 



Includes the District of Columbia. 
711610°— 46 4 



24 




25 

Police Employees in Individual Cities 

The number of police employees reported as of April 30, 1946 in 
individual cities is presented in tables 14 and 15 with the cities 
grouped according to size and listed alphabetically within each 
State. For cities over 25,000 the tabulation indicates the number of 
police officers, the number of civilian employees, and the total number 
of employees in each city. 

The ratio of civilian employees to police officers is 7.3 percent and 
as a general rule the larger communities show more of a tendency to 
utilize the services of civilian employees than do the smaller cities as 
indicated in the following figures: 

Percent civilian 
Population group: ' employees 

Total all cities 7. 3 

Group I, cities over 250,000 8. 7 

Group II, cities from 100,000 to 250,000 8. 7 

Group III, cities from 50,000 to 100,000 7 8 

Group IV, cities from 25,000 to 50,000 4. 9 

Group V, cities from 10,000 to 25,000 3. 3 

Group VI, cities from 2,500 to 10,000 3. 8 

For cities over 25,000 as a group 8.2 percent of the employees were 
classified as civilian personnel as compared to 8.4 percent in 1945. 

The data concerning the number of police employees presented in 
this issue of the bulletin were collected thi-ough the medium of report 
forms which provided for the listing of full-time police officers, the 
number of full-time civilian employees, the number of part-time 
police officers and the number of part-time civilian employees. The 
form also provided for the local departments to express the number 
of part-time employees in terms of full-time personnel considering the 
total time worked by the part-time employees during the month of 
April m relation to full-time personnel. In some instances the 
departments limited their entries concerning part-time employees to 
a statement of the total time worked during April and in such in- 
stances this information was converted into terms of full-time em- 
ployees by the FBI assuming that a full-time employee worked 
approximately 200 hours during April. In the event the total time 
worked by the part-time employees was equivalent to at least 75 
percent of that worked by a full-time employee, one full-time employee 
was counted. 

School crossing guards paid from police funds were treated as 
civilian employees unless the department indicated they had police 
powers. No employees were included if information was available 
indicating they were not paid from police department funds, and 
employees on military or other extended leave of absence were 
excluded from the tabulations. 



26 

In examining the figures for individual cities as presented in tables 
14 and 15 it should be remembered there are several factors to be 
considered which are not reflected in the tabulations. For example, 
some departments still operate on a two-shift basis whereas in most 
agencies the men are distributed among three shifts. Similarly, 
differences in the automotive equipment and radio communication 
facilities would have to be considered as well as the number of private 
police employed by individuals and organizations as well as public 
park police, who in some communities constitute a separate unit. 
For a list of some of the other factors to be considered reference may 
be made to the data preceding table 6. 

It should be particularly noted that in grouping the cities, and, in 
fact in all the tabulations, the 1940 census figures were used in the 
interests of uniformity. Since 1940, however, marked changes in 
population occurred in many communities; a number in the Pacific 
area, for example, more than doubled in size. 



Table 14. — Number of police department employees, Apr. 30, 1946; cities over 

25,000 in population 

[Based on 1940 decennial census] 

CITIES WITH OVER 250,000 INHABITANTS 



City 



Birmingham, Ala... 
Los Angeles, Calif. _ 

Oakland, Calif 

San Francisco, Calif 

Denver, Colo 

Washington, D. C. 

Atlanta, Ga 

Chicago, 111 

Indianapolis, Ind... 

Louisville, Ky 

New Orleans, La 

Baltimore, Md 

Boston, Mass 

Detroit, Mich 

Minneapolis, Minn. 

St. Paul, Minn 

Kansas City, Mo... 

St. Louis, Mo 

Newark, N. J 

Buffalo, N. Y 

New York, N. Y... 

Rochester, N. Y 

Cincinnati, Ohio 

Cleveland, Ohio 

Columbus, Ohio 

Toledo, Ohio 

Portland, Oreg 

Philadelphia, Pa... 

Pittsburgh, Pa 

Providence, R. I... 

Memphis, Term 

Dallas, Tex 

Houston, Tex 

San Antonio, Tex... 

Seattle, Wash 

Milwaukee, Wis 



Number 


of police d 


apartment 




employees 




Police 
officers 


Civil- 
ians 


Total 


274 


24 


298 


2,892 


754 


3,646 


532 


67 


599 


1,279 


92 


1,371 


460 


24 


484 


1,690 


127 


1,817 


395 


70 


465 


7,544 


308 


7,852 


539 


68 


607 


413 


28 


441 


845 


19 


864 


1,756 


210 


1,966 


2,206 


238 


2,444 


3,607 


244 


3,851 


495 


45 


540 


360 


30 


390 


493 


170 


663 


1,908 


446 


2,354 


1,067 


121 


1,188 


1,215 


158 


1. 373 


15, 427 


908 


16, 335 


434 


52 


486 


724 


29 


753 


1,600 


295 


1,895 


316 


31 


347 


306 


59 


365 


526 


111 


637 


4,747 


261 


5,008 


1,087 


45 


1,132 


394 


66 


460 


285 


64 


349 


341 


41 


382 


331 


141 


472 


232 


67 


299 


546 


84 


630 


1,152 


79 


1,231 



27 

Table 14. — Number of police department employees, Apr. 30, 1946; cities over 
25,000 in population — Continued 

CITIES WITH 100,000 TO 250,000 INHABITANTS 



City 



Long Beach, Calif 

Sacramento, Calif 

San Diego, Calif 

Bridgeport, Conn 

Hartford, Conn 

New Haven, Conn 

Wilmington, Del 

Jacksonville, Fla 

Miami, Fla 

Tampa, Fla 

Peoria, 111 

Fort Wayne, Ind 

Gary, Ind 

South Bend, Ind 

Des Moines, Iowa 

Kansas City, Kans... 

Wichita, Kans 

Cambridge, Mass 

Fall River, Mass 

Lowell, Mass 

New Bedford, Mass.- 

SomervDle, Mass 

Springfield, Mass 

Worcester, Mass 

Flint, Mich.. 

Grand Rapids, Mich. 

Duluth, Mirm 

Omaha, Nebr 

Camden, N. J 

Elizabeth, N.J 

Paterson, N.J 

Trenton, N.J 

Albany, N.Y 

Syracuse, N. Y 

Utica, N. Y 

Yonkers, N. Y 

Charlotte, N. C 

Akron, Ohio 

Canton, Ohio 

Dayton, Ohio 

Youngstown, Ohio... 
Oklahoma City, Okla 

Tulsa, Okla 

Erie, Pa 

Reading, Pa 

Scranton, Pa 

Chattanooga, Tenn.__ 

Knoxville, Term 

Nashville, Term 

Fort Worth, Tex 

Salt Lake City, Utah. 

Norfolk, Va 

Richmond, Va 

Spokane, Wash 

Tacoma, Wash 



Number of police department 




employees 




Police 
officers 


Civil- 
ians 


Total 


251 


67 


318 


150 


22 


172 


342 


76 


418 


246 


3 


249 


336 


35 


371 


290 


26 


316 


167 


15 


182 


230 


20 


250 


330 


35 


365 


114 


16 


130 


132 


4 


136 


131 


4 


135 


151 


30 


181 


117 


7 


124 


164 


9 


173 


122 
130 




122 


33 


163 


225 
197 




225 


9 


206 


176 


16 


192 


195 


11 


206 


157 
296 




157 


18 


314 


370 


27 


397 


184 


31 


215 


188 


27 


215 


124 


10 


134 


236 


25 


261 


188 


16 


204 


211 


9 


220 


240 
231 




240 


18 


249 


321 


38 


359 


255 


29 


284 


164 


7 


171 


252 


17 


269 


125 


5 


130 


263 


15 


278 


128 


6 


134 


188 


31 


219 


178 


16 


194 


200 


59 


259 


201 




201 


135 


5 


140 


145 


12 


157 


177 


13 


190 


129 


4 


133 


147 


25 


172 


183 


28 


211 


267 


20 


287 


148 


23 


171 


244 


24 


268 


. 282 


60 


332 


158 


10 


168 


151 


1 


152 



28 



Table 14. — Number of 'police department employees, Apr. 30, 1946; cities over 
25,000 in population — Continued 

CITIES WITH 50,000 TO 100,000 INHABITANTS 



City 


Number of police department 
employees 


Police 
officers 


Civil- 
ians 


Total 


Mobile, Ala 


136 
129 
114 
112 

90 

93 

95 

100 

90 

100 

85 

54 

117 

194 

62 

109 

87 

72 

141 

78 

59 

72 

87 

76 

88 

96 

86 

167 

92 

75 

61 

70 

78 

47 

55 

67 

132 

116 

94 

95 

130 

165 

94 

96 

128 

132 

149 

93 

62 

92 

68 

95 

81 

88 

63 

87 

104 

200 

217 

108 

142 

76 

110 

114 

102 

108 

121 

135 

169 

148 

72 

79 

95 

120 

55 

56 

61 


20 

6 

9 

7 

6 

14 

24 

21 


156 




135 




123 


Little Rock Ark 


119 


Berkeley, Calif -,- .. -. - 


96 


Fresno, Calif 


107 


Glendale, Calif . . - .- -.- . --- -- 


119 


Pasadena, Calif 

San Jose, Calif . . _ . 


121 
90 


Santa Monica. Calif 


32 
3 
2 
3 
9 
7 

14 
1 
3 

14 

23 
5 

21 

11 
5 
4 

24 
2 
8 

10 
2 
8 
1 

12 


132 


Stockton, Calif --- ..... 


88 


Pueblo, Colo . ........ . 


56 


New Britain, Conn . .. 


120 


Water bury, Conn .. .... ... 


203 


St Petersburg Fla 


69 




123 


Columbus, Ga 


88 




75 


Savannah, Ga . . . . . 


155 


Cicero 111 


101 


Decatur, 111 . .. .... . . .. -. 


64 


East St Louis, 111 


93 




98 


Oak Park, 111 


81 


Rockford, 111 


92 


Springfield, 111 -.-.-.. ....... 


120 


East Chicago, Ind.-_ .... . . . ... 


88 




175 


Hammond, Ind 


102 


Terre Haute, Ind . .... . . 


77 


Cedar Rapids, Iowa 


69 
71 


Sioux City, Iowa 


90 


Waterloo, Iowa .. ..... . ... .. 


47 


Topeka, Kans 


13 
3 
8 
6 
5 
3 
3 
9 
2 
1 
5 
4 

17 
6 

24 


68 


Covington, Ky... .. . ... . _. 


70 


Shreveport, La 


140 


Portland, Maine.. . . ... .. .. 


122 


Brockton, Mass • 


99 


Holvoke, Mass 


98 




133 


Lynn, Mass 


174 


Maiden, Mass . ...... .. ... . -. 


96 


Medford, Mass 


97 


Newton, Mass 


133 


Quincy, Mass .. . . . - 


136 


Dearborn, Mich 


166 


Highland Park, Mich ... ... . 


99 


Kalamazoo, Mich .- 


86 


Lansing, Mich 


92 


Pontiac, Mich 


9 
15 
23 

4 
11 

6 

8 
40 
11 

2 


77 


Saginaw, Mich 


110 


Jackson, Miss . ...... ... . .. 


104 


St. Joseph, Mo • ..... 


92 


Springfield, Mo 


74 




93 


Manchester, N. H 


112 


Atlantic City, N.J 


240 


Bayonne, N.J . ... 


228 


East Orange, N. J 


110 


Hoboken, N. J 


142 


Irvington, N. J 


11 


87 


Passaic, N. J 


110 


Union City, N. J . 


3 
7 
3 

16 
5 

15 

10 
2 
9 
6 
8 
1 
1 

17 


117 


Binghamton, N. Y 


109 


MountVernon, N. Y . .. . . 


111 


New Rochelle, N. Y 


137 


Niagara Falls, N. Y 


140 


Schenectady, N. Y .. . 


184 


Troy, N. Y. 


158 


Asheville. N. C 


74 


Durham, N. C 


88 


Greensboro, N. C 


101 


Winston-Salem, N. C 


128 


Cleveland Heights, Ohio 


56 


Hamilton, Ohio 


57 


Lakewood, Ohio 


78 



29 



Table 14. — Number of police department employees, Apr. 30, 194^; cities over 
25,000 in population — Continued 

CITIES WITH 50,000 TO 100,000 INHABITANTS— Continued 



City 



Number of police department 
employees 



Police 
officers 



Civil- 



Total 



Springfield, Ohio 

Allentown, Pa 

Altoona, Pa 

Bethlehem, Pa 

Chester, Pa 

Harr isburg, Pa 

Johnstown, Pa 

Lancaster, Pa 

McKeesport, Pa 

Upper Darby Twp., Pa 

Wilkes-Barre, Pa 

York, Pa 

Pawtucket, R. I 

Charleston, SjiC_- 

Columbia, S. C 

Amarillo, Tex 

Austin, Tex 

Beaumont, Tex 

Corpus Christi, Tex 

El Paso, Tex 

Galveston, Tex 

"Waco, Tex 

Arlington, Va 

Portsmouth, Va 

Roanoke, Va 

Charleston, W. Va 

Huntington, W. Va 

Wheeling, W. Va 

Madison, Wis 

Racine, Wis 



58 


4 


98 


8 


82 


3 


55 


2 


70 


9 


129 


12 


59 


4 


64 


3 


68 


8 


87 


13 


89 




61 


1 


114 


11 


134 


8 


120 


13 


68 




98 


21 


78 




83 


20 


104 


16 


86 




58 




54 


2 


59 


2 


103 


4 


73 


6 


79 


4 


69 


1 


105 


7 


83 


2 



CITIES WITH 25,000 TO 50,000 INHABITANTS 



Anniston, Ala-- .-. 

Gadsden, Ala-- 

Tuscaloosa, Ala 

Tuscon, Ariz 

Fort Smith, Ark 

Alameda, Calif 

Alhambra, Calif 

Bakersfield, Calif 

Belvedere Twp., Calif.. 

Beverly Hills, Calif 

Burbank, Calif 

Huntington Park, Calif 

Inglewood, Calif 

Riverside, Calif 

San Bernardino, Calif- . 

Santa Ana, Calif 

Santa Barbara, Calif.... 

South Gate, Calif 

Colorado Springs, Colo. 

Bristol, Conn 

Greenwich, Corm 

Meriden, Conn 

Middletown, Corm 

New London, Conn 

Norwalk, Conn 

Stamford, Conn 

Torrington, Conn 

West Hartford, Conn.. 

West Haven, Conn 

Miami Beach, Fla 

Orlando, Fla 

Pensacola, Fla 

West Palm Beach, Fla. 

Rome, Ga 

Boise, Idaho 

Alton, 111 -- 

Aurora, 111 

BelleviUe, ni.__ 

Berwyn, 111 

Bloomington, 111 

Danville, 111-. 

Elgin, HI- 



42 


1 


62 


2 


30 

45 




5 


35 


2 


60 


2 


40 


8 


62 


6 


32 


6 


45 


10 


78 


4 


31 


9 


38 




52 


4 


64 


3 


48 


2 


47 


7 


31 


7 


39 


3 


48 


1 


83 


7 


55 


1 


30 


3 


62 


3 


58 




113 


2 


35 


1 


55 


4 


35 
91 




13 


65 


5 


49 


6 


43 
35 




2 


34 


3 


26 

45 






25 




32 


2 


32 


3 


25 




I 32 


i 



30 



Table 14. — Number of police department employees, Apr. SO, 1946; cities over 
25,000 in population — Continued 

CITIES WITH 25,000 TO 50,000 INHABITANTS -Continued 



City 



Galesburg, 111 

Joliet, 111 

Maywood, 111 

Moline, 111 

Qunlcy, 111 

Rock Island, 111 

Waukegan, 111 

Anderson, ind 

Elkhart, Ind 

Kokomo, Ind 

Lafayette, Ind 

Marion, Ind 

Michigan City, Ind 

Mishawaka, Ind 

Muncie, Ind 

New Albany, Ind 

Richmond, Ind 

Burlington, Iowa 

Clinton, Iowa 

Council Bluffs, Iowa 

Dubuque, Iowa 

Mason City, Iowa 

Ottumwa, Iowa 

Hutchinson, Kans 

Ashland, Ky 

Lexington, Ky 

Newport, Ky 

Owensboro, Ky 

Paducah, Ky 

Alexandria, La 

Baton Rouge, La 

Monroe, La 

Bangor, Maine 

Lewiston, Maine 

Cumberland, Md 

Hagerstown, Md 

Arlington, Mass - 

Belmont, Mass 

Beverly, Mass 

Brookline, Mass 

Chelsea, Mass 

Chicopee,. Mass 

Everett, Mass 

Fitchburg, Mass 

Haverhill, Mass 

Melrose, Mass 

Pittsfield, Mass 

Revere, Mass 

Salem, Mass _- 

Taunton, Mass 

Waltham, Mass 

Watertown, Mass 

Ann Harbor, Mich 

Battle Creek, Mich 

Bay City, Mich 

Hamtramck, Mich 

Jackson, Mich 

Muskegon, Mich 

Port Huron, Mich 

Royal Oak, Mich 

"Wyandotte, Mich 

Rochester, Minn 

Meridian, Miss 

Joplin, Mo 

University City, Mo 

Butte, Mont 

Great Falls, Mont 

Concord, N. H 

Nashua, N. H 

Belleville, N. J 

Bloomfiold, N. J 

Clifton, N. J__. 

Garfield, N.J 

Hackensack, N. J 

Hamilton Township, N. J. 

Kearny, N. J 

Montclair, N. J 



Number of police department 


employees 




Police 
officers 


Civil- 
ians 


Total 


28 


5 


33 


52 


3 


55 


19 




19 


26 


1 


27 


43 


3 


46 


40 
34 




40 


1 


35 


62 


6 


68 


47 
42 
46 




47 




42 


1 


47 


36 
37 
33 




36 




37 


2 


35 


54 
22 
35 




54 




22 


4 


39 


33 


1 


34 


28 


2 


30 


31 


2 


33 


34 
23 




34 


2 


25 


21 

28 
30 




21 




28 


1 


31 


89 


2 


91 


44 


8 


52 


41 


1 


42 


40 
48 
41 




40 




48 


4 


45 


39 


1 


40 


46 




46 


48 


1 


49 


45 


5 


60 


33 


7 


40 


56 


6 


62 


39 


3 


42 


51 
119 




51 


5 


124 


66 


5 


71 


62 


2 


64 


87 




87 


40 


5 


45 


65 


1 


66 


34 




34 


62 
60 




62 


3 


63 


66 


2 


68 


52 


4 


56 


50 


4 


54 


53 


4 


57 


34 


2 


36 


42 


10 


52 


60 


19 


79 


93 


3 


96 


64 


2 


66 


47 


6 


53 


38 


8 


46 


30 


2 


32 


44 


7 


51 


30 




3C 


50 


1 


51 


29 


4 


33 


41 


1 


42 


29 


1 


3C 


30 


1 


31 


35 


1 


36 


43 




43 


39 
79 




39 


2 


81 


44 




44 


28 




2? 


45 




45 


40 


1 


41 


87 




8? 


76 


3 


79 



31 



Table 14. — Number of police department employees, Apr. 30, 1946; cities over 

25,000 in population — Continued 

CITIES WITH 25,000 TO 50,000 INHABITANTS-Continued 



City 



Number of police department 
employees 



Police 


Civil- 




officers 


ians 


Total 


41 


3 


44 


75 


5 


80 


63 


2 


65 


67 


2 


69 


57 


5 


62 


33 


2 


35 


81 




81 


50 


1 


51 


40 




40 


47 


2 


49 


36 


1 


37 


46 


1 


47 


73 




73 


57 


5 


62 


37 




38 


49 


1 


50 


61 


3 


64 


39 


2 


41 


38 


1 


39 


96 


4 


100 


47 


4 


51 


74 


1 


75 


33 


3 


36 


71 


6 


77 


41 




41 


30 


11 


41 


28 




28 


48 


1 


49 


37 




37 


40 


1 


41 


22 




22 


22 




22 


32 


2 


34 


29 




29 


37 




37 


36 


1 


37 


34 




34 


44 


2 


46 


30 




30 


22 




22 


40 


1 


41 


33 


6 


39 


25 




25 


37 


2 


39 


39 


2 


41 


25 


1 


26 


27 




27 


104 


8 


112 


44 


5 


49 


33 




33 


22 


2 


24 


23 




23 


23 


1 


24 


40 


3 


43 


26 


5 


31 


63 




53 


39 


6 


45 


73 




73 


42 


2 


44 


79 


4 


83 


62 


2 


64 


47 


3 


50 


49 


5 


64 


22 




22 


40 




40 


39 


1 


40 


64 


4 


68 


34 


\ 


35 


40 


2 


42 


28 


2 


39 


60 


1 


61 


52 


3 


55 


30 


2 


32 


54 


2 


66 


50 




50 


51 


2 


63 



New Brunswick, N. J 

North Bergen, N. J 

Orange, N. J 

Perth Amboy, N. J 

Plainfield, N. J 

Teaneck, N. J 

West New York, N. J 

West Orange, N. J 

Woodbridge, N. J 

Albuquerque, N. M 

Amsterdam, N. Y 

Auburn, N. Y 

Elmira, N. Y 

Jamestown, N. Y 

Kingston, N, Y 

Newburgh, N. Y 

Poughkeepsie, N. Y 

Rome, N. Y 

Watertown, N. Y 

White Plains, N. Y 

High Point, N. C 

Raleigh. N. C 

Rocky Mount, N. C 

Wilmington, N. C." 

Fargo, N. D 

East Cleveland, Ohio 

Elyria, Ohio 

Lima, Ohio 

Lorain, Ohio 

Mansfield, Ohio 

Marion, Ohio 

Massillon, Ohio 

Middletown, Ohio 

Newark, Ohio 

Norwood, Ohio 

Portsmouth, Ohio 

Steubenville, Ohio 

Warren, Ohio 

Zanesville, Ohio 

Enid, Okla 

Muskogee, Okla 

Salem, Oreg 

Aliquippa, Pa 

Easton, Pa 

Haverford Township, Pa 

Hazleton, Pa... 

Lebanon, Pa 

Lower Merion Township, Pa 

New Castle, Pa 

Norristown, Pa 

Sharon, Pa 

Washington, Pa 

Wilkinsburg, Pa 

Williamsport, Pa 

Central Falls, R. I 

Cranston, R. I 

East Providence, R. I 

Newport, R. I 

Warwick, R. I 

Woonsocket, R. I 

Greenville, S. C 

Spartanburg, S. C 

Sioux Falls, S. Dak 

Johnson City, Tenn 

Abilene, Tex 

Laredo, Tex... 

Lubbock, Tex .. 

Port Arthur, Tex 

SanAngelo, Tex 

Tyler, Tex 

Wichita Falls, Tex 

Ogden, Utah 

Burlington, Vt 

Alexandria, Va 

Danville, Va 

Lynchburg, Va 

711610°— 46 5 



32 

Table 14. — Number of police department employees, Apr. 30, 1946; cities over 
25,000 in population — Continued 

CITIES WITH 25,000 TO 50,000 INHABITANTS— Continued 



City 



Number of police department 
employees 



Police 


Civil- 


officers 


lans 


72 


6 


41 


4 


33 


1 


43 


1 


31 


2 


21 




21 




28 




40 


4 


37 




31 


2 


48 


2 


62 


1 


48 


4 


61 




36 




60 


1 


29 


1 


40 




64 


1 



Total 



Newport News, Va. 

Petersburg, Va 

Bellingham, W'ash.. 

Everett, Wash 

Yakima, Wash 

Clarksburg, W. Va. 
Parkersburg, W. Va 

Appleton, Wis 

Beloit, Wis 

Eau Claire, Wis 

Fond du Lac, Wis. 

Green Bay, Wis 

Kenosha, Wis 

La Crosse, Wis 

Oshkosh, Wis, 

Sheboygan, Wis 

Superior, Wis 

Wausau, Wis 

Wauwatosa, WLs-.. 
West AUis, Wis 



Table 15. 



-Number of police department employees, Apr. SO, 1946: cities with 
population from 2,500 to 25,000 
[Based on 1940 decennial census] 
CITIES WITH 10,000 TO 25,000 INHABITANTS 



City 


Number of 
police de- 
partment 
employees 


City 


Number of 
police de- 
partment 

employees 


Bessemer, Ala 


26 
28 
11 
14 
25 
16 
27 
8 
13 
24 
9 
39 
14 
17 
16 
17 
13 
11 
25 
28 
15 
15 
13 
16 
18 
16 
13 
31 
16 
16 
22 
20 
28 
31 
16 
19 
19 
101 
28 
17 


San Leandro, Calif 

San Mateo, Calif 

Santa Cruz, Calif 


25 


Dothan, Ala .-. _ 


25 


Fairfield Ala 


24 


Florence, Ala 

Huntsville, Ala . . . - . . 


Santa Rosa, Calif 

South Pasadena, Calif 

Vallejo, Calif 

Ventura, Calif 

Whittier, Calif 


19 
21 


Phenix City, Ala 

Selma, Ala -- - --- -- 


50 
19 




23 


El Dorado, Ark 

Hot Springs, Ark 

Jonesboro Ark 


Boulder, Colo 

Fort Collins, Colo 

Grand Junction, Colo 

Greeley, Colo -- 


10 
10 
16 


North Little Rock Ark 


14 


Pine Bluff, Ark 


Trinidad, Colo .. 


11 


TpYarkana Ark 


Ansonia, Conn 


16 


Albany, Calif 


Danbury, Conn 

Derby, Conn 

East Hartford, Conn 

Naugatuck, Conn .. 


27 


Anaheim Calif 


11 


Bell, Calif -- 


50 


Brawley Calif 


20 


Bnrline'amp Calif 


Norwich, Conn . 


41 




Shelton, Conn __. ^ 


12 


El Centro Calif 


Stratford, Conn 


26 


Eureka, Calif - 


Wallingford, Conn 

Willimantic, Conn 

Bradenton, Fla - 


20 


Fullerton Calif 


16 


Lodi Calif 


12 


Lynwood, Calif 


Clearwater, Fla 


21 


May wood, Calif. 


Daytona Beach, Fla 

Fort Lauderdale, Fla 


45 


Merced Calif 


37 


Modesto, Calif 


Fort Myers, Fla 


14 


M^onrovia Calif 


Gainesville, Fla .- . 


18 




Key West, Fla 


21 


National Citv, Calif 


Lakeland, Fla 

Panama City, Fla .-. - 


35 


Ontario Calif 


17 


Palo Alto, Calif 


St. Augustine, Fla- -.- --- 


17 


Pomona, Calif 


Sanford, Fla - ..- 


16 


Redlands Calif 


Sarasota, Fla - -- 


15 


Redondo Beach, Calif 


Tallahassee, Fla 


30 


Redwood City, Calif 


Albany, Ga 


30 


Richmond Calif 


Brunswick, Qa -- - 


31 


Salinas, Calif 


Dalton, Ga --- - 


19 


San Gabriel. Calif 


Decatur, Ga_ 


15 



33 



Table 15. — Number of police department employees, Apr. SO, 1946; cities with 
population from 2,500 to 25,000 — Continued 

CITIES WITH 10,000 TO 25,000 INHABITANTS— Continued 



City 


Number of 
police de- 
partment 

employees 


City 


Number of 
police de- 
partment 
employees 




17 
26 
21 
16 
12 
20 
15 
12 
22 
13 
14 
28 
17 
11 
13 
12 
14 

9 
13 
22 
29 

8 
13 
16 
12 
17 
18 
14 

4 
12 
18 
15 
21 
15 
14 

7 
15 
14 
14 
12 
14 
12 
11 
12 
12 
20 
18 
14 
28 
16 
11 
14 
11 
16 

9 
14 

9 

20 
26 
17 
13 
19 
22 
13 
18 
19 
11 
19 
18 
11 
18 

8 

8 
11 
15 

9 
23 


EI Dorado, Kans 


13 


Griffin, Ga 


Emporia, Kans 


13 




Fort Scott, Kans 


10 


IMoultrie Ga 


Independence, Kans . 


g 


Thomasville, Ga 


Lawrence, Kans 


13 


Valdosta Ga 


Leavenworth, Kans 


23 


"VVavcross Ga 


Manhattan, Kans 


11 




Newton, Kans 


10 


Idaho Falls Idaho 


Ottawa, Kans .. 


7 




Parsons, Kans. 


14 


Nampa Idaho 


Pittsburg, Kans 


14 


Pocatello Idaho 


Salina, Kans . 


26 


Twin Falls, Idaho 


Bowling Green, Ky ... 


23 


Blue Island 111 


Fort Thomas, Ky 


9 


Brookfield 111 


Frankfort, Ky.. 


11 


Cairo, 111 


Henderson, Ky 


20 


Calumet City III 


Hopkinsville, Ky . . 


14 


Canton, 111 


Bogalusa, La 


15 




Lake Charles, La . 


26 


Champaign 111 


New Iberia, La .. 


14 


Chicago Heights, 111 


Auburn, Maine.. 


20 


Dixon 111 


Augusta, Maine 


19 


East Moline 111 


Bath, Maine 


13 


Elmhurst 111 


Biddeford, Maine 


14 


Elmwood Park 111 


South Portland, Maine 


25 


Forest Park, 111 


Waterville, Maine 


18 


Freeport 111 


Westbrook, Maine .. 


9 


Granite City, 111 


Annapolis, Md 


15 


Harrisburg, HI 


Cambridge, Md 


14 


Harvey, 111 

Highland Park, 111 


Frederick, Md 


25 


Salisbury, Md 


19 


Jacksonville 111 


Adams, Mass 


13 


Kankakee, 111 


Amesbury, Mass 


11 


La Grange, lU 

La Salle 111 


Andover, Mass 


12 


Athol, Mass . 


14 


Lincoln, 111 


Attleboro, Mass... 


28 


Mattoon 111 


Braintree, Mass.. 


25 


Melrose Park, 111 


Clinton, Mass 


11 


Mount Vernon, HI 


Danvers, Mass.. 


11 


Ottawa, 111 


Dedham, Mass 


22 


Park Ridge, 111 


Easthampton, Mass .. 


11 


Pekin 111 


Fairhaven, Mass. 


8 


Sterling, 111 


Framingham, Mass... 


25 


Streator 111 


Gardner, Mass 


18 


XJrbana 111 


Greenfield, Mass ... .. 


23 


Wilmette, 111 


Leominster, Mass.. . .. 


18 


Winnpfka 111 


Lexington, Mass 


16 


Bedford Ind 


Marblehead, Mass . 


18 




Marlboro, Mass. 


18 


Columbus Ind 


Milford, Mass 


12 




Milton, Mass 


38 


Crawfordsville, Ind 


Natick, Mass ... 


16 




Needham, Mass 


17 




Newburyport, Mass 


19 


Goshen Ind 


North Adams, Mass 


26 


Huntington, Ind 




34 


North Attleboro, Mass .. 


15 


La Porte Ina 


Northbridge, Mass... .. . 


7 




Norwood, Mass. .. .. ... 


22 


Peru, Ind 

Shelbyville Ind 


Peabody, Mass 


36 


Plymouth, Mass .- 


22 




Reading, Mass.. . 


18 


Whiting Ind 


Saugus, Mass_. 


16 


Amp<; Tnwa 


Southbridge, Mass. .. 


19 




Stoneham, Mass .. ... 


14 


Fort Dodge Iowa 


Swampscott, Mass 


17 




Wakefield, Mass.. 


23 


Iowa City, Iowa 

Keokuk Iowa 


Webster, Mass 


13 


Welleslev, Mass 


23 




Westfield, Mass... ... 


32 




West Springfield, Mass . .._ 


26 


Newton Iowa 


Weymouth, Mass - - 


32 




Winthrop, Mass. 


22 




Woburn, Mass. - 


21 


Atchison Kans 


Adrian, Mich . .. 


14 


Chanute Kans 


Alpena, Mich .. 


11 


Cofieyviile, Kans 


Benton Harbor, Mich... ....- 


22 



34 



Table 15. — Number of police department employees, Apr. 30, 1946; cities with 
population from 2,500 to 25,000 — Continued 

CITIES WITH 10,000 TO 25,000 INHABITANTS— Continued 



City 



Number of 
police de- 
partment 

employees 




Birmingham, Mich 

Ecorse, Mich 

Escanaba, Mich 

Femdale, Mich 

Grosse Pointe Park, Mich_ 

Holland, Mich 

Iron Mountain, Mich 

Ironwood, Mich 

Lincoln Park, Mich 

Marquette, Mich 

Menominee, Mich 

Midland, Mich 

Monroe, Mich 

Mount Clemens, Mich 

Muskegon Heights, Mich. 

Niles, Mich 

Owosso, Mich 

River Rouge, Mich 

St. Clair Shores, Mich.,.. 
Sault Ste. Marie, Mich.... 

Traverse City, Mich 

Ypsilanti, Mich 

Austin, Minn 

Brainerd, Minn 

Faribault, Minn 

Fergus Falls, Minn 

Hibbing, Minn 

Mankato, Minn 

St. Cloud, Minn 

South St. Paul, Minn 

Virginia, Minn 

Winona, Minn 

Biloxi, Miss 

Clarksdale, Miss 

Columbus, Miss 

Greenville, Miss 

Greenwood, Miss 

Gulfport, Miss 

Hattiesburg, Miss 

Laurel, Miss 

Natchez, Miss 

Vicksbtu-g, Miss 

Cape Girardeau, Mo 

Carthage, Mo 

Clayton, Mo 

Columbia, Mo 

Hannibal, Mo 

Independence, Mo 

.TefCerson City, Mo 

Kirksville, Mo 

Kirkwood, Mo 

Maplewood, Mo 

Moberly, Mo 

Poplar Bluff, Mo__. 

Richmond Heights, Mo... 

St. Charles, Mo 

Sedalia, Mo 

Webster Groves, Mo 

Anaconda, Mont 

Billings, Mont 

Helena, Mont 

Missoula, Mont 

Beatrice, Nobr 

Fremont, Nebr 

Grand Island. Nebr 

Hastings, Nebr 

Norfolk, Nebr 

North Platte. Nebr 

Scottsbluflf, Nebr 

Reno, Nev 

Berlin, N. H 

Claremont, N. H 

Dover, N. H 

Keene, N. H 

Laconia, N. H 

Portsmouth, N. H 

Rochester, N. H 



Asbury Park, N. J 

Bergenfield, N. J 

Bridgeton, N. J 

Burlington, N. J 

Carteret, N.J 

ClifFside Park, N. J 

Collingswood, N. J 

Cranford.N. J 

Dover, N. J 

Englewood, N. J 

Gloucester City, N. J 

Harrison, N. J 

Hawthorne, N. J 

Hillside Twp., N. J 

Linden, N. J 

Lodi, N. J 

Long Branch, N. J 

Lyndhurst, N. J 

Maplewood, N. J 

Millburn Twp., N. J 

Millville, N. J 

Morristown, N. J 

Neptune Twp., N. J 

North Plainfield, N. J 

Nutley, N. J 

Pennsauken Twp., N. J__ 

Phillipsburg, N. J 

Pleasantville, N. J 

Rahway, N. J 

Red Bank, N.J 

Ridgefield Park, N. J 

Ridgewood, N. J 

Roselle, N. J 

Rutherford, N. J 

South Orange, N. J 

South River, N. J 

Summit, N. J 

Union Twp., N. J 

Weehawken, N. J 

Westfleld, N. J 

Clovis, N. Mex 

Hobbs, N. Mex 

Roswell, N. Mex 

Santa Fe, N. Mex 

Batavia, N. Y 

Beacon, N. Y 

Cohoes, N. Y 

Corning, N. Y 

Cortland, N.Y 

Dunkirk, N.Y 

Endicott, N. Y 

Floral Park, N. Y 

Frceport, N. Y 

Fulton, N.Y 

Garden City, N. Y 

Geneva, N. Y 

GlenCove, N. Y 

Glen Falls, N. Y 

Gloversville, N. Y 

Hempstead, N. Y 

Hornell, N. Y 

Hudson, N. Y 

Irondequoit, N. Y 

Ithaca, N. Y 

Johnson City, N. Y 

Johnstown, N. Y 

Kenmore, N. Y 

Lackawanna, N. Y 

Little Falls, N. Y 

Lockport, N. Y 

Lynbrook, N. Y 

Mamaroneck, N. Y 

Massena, N. Y 

Middletown, N. Y 

North Tonawanda, N. Y. 

Ogdensburg, N. Y 

Olean, N. Y 



35 



Table 15.- 



-Nitmber of police department employees, Apr. 30, 1946; cities with 
population from 2,500 to 25,000 — Continued 

CITIES WITH 10,000 TO 25,000 INHABITANTS— Continued 



City 


Number of 
police de- 
partment 

employees 


City 


Number of 
police de- 
partment 
employees 


Oneida, N. Y 


18 
15 
23 
23 
21 
13 
42 
15 
38 
23 
28 
20 
21 
26 
20 
17 
47 
34 
22 
27 
21 
24 
16 
19 
21 
15 
16 
12 
23 
13 
22 
17 
22 
12 
15 
21 
14 
13 
15 
17 
11 
22 
18 
30 
22 
14 
14 
14 
17 
19 
14 
13 
10 
8 
9 
13 
16 
13 
6 

19 
39 
10 
15 
12 
10 
10 
22 
12 
15 
7 
7 
9 
19 
16 
11 
21 
10 


Shawnee, Okla 


21 
13 


Oneonta, N. Y 


Stillwater, Okla... 


Ossining, N. Y 


Wewoka, Okla 


7 
16 

8 
31 
23 
16 
29 


Oswego, N. Y_-_ . .- - .-- . 


Astoria, Oreg 


Peekskill, N. Y 


Bend, Oreg 


Plattsburgh, N. Y 


Eugene, Oreg 


Port Chester, N. Y 


Klamath Falls, Oreg 


Rensselaer, N. Y_ . . . . . . 


Medford, Oreg 


Rockville, Centre, N. Y 


Abington, Pa 


Saratoga Springs, N. Y 


Ambridge, Pa 


13 


Scarsdale, N. Y 


Arnold, Pa 


11 


Tonawanda, N. Y . .-. ... 


Beaver Falls, Pa 




Watervliet, N. Y 


Bellevue, Pa 


11 


Burlington, N. C .... 


Berwick, Pa 


7 


Concord, N.,C 


Braddock, Pa. 


28 


Elizabeth City, N. C 


Bradford, Pa 


23 


Fayetteville, N. C 


Bristol, Pa 




Gastonia, N. C 


Butler, Pa 


22 


Goldsboro, N. C ... 


Canonsburg, Pa 


14 


Greenville, N. C 


Carbondale, Pa ... 


10 


Hickory, N. C 


Carlisle, Pa 


16 


Kinston, N. C 


Carnegie, Pa. .. .. . ."^ 


15 


Lexington, N. C . 




17 


Reidsville, N. C 


Charleroi, Pa 


10 


Salisbury, N. C 


Cheltenham Twp., Pa 


31 


Shelby, N. C . 


Clairton, Pa 


22 


StatesvUle, N. C 


Coatesville, Pa 


20 


Thomasville, N. C . 




6 


Wilson, N. C 


Connellsville, Pa 


16 


Bismarck, N. Dak_ 


Conshohocken, Pa_ 


8 


Grand Forks, N. Dak 


Coraopolis, Pa 


11 


Minot, N. Dak 


Darby, Pa 


16 




Dickson, Pa ... 


6 


Ashland, Ohio 


Donora, Pa 


12 


Ashtabula, Ohio 


Du Bois, Pa .. .. .. . .. 


6 


Barberton, Ohio 


Dunmore, Pa 


15 


Bellaire, Ohio 


Duquesne, Pa-__ .. . 


19 


Cambridge, Ohio. 


Ellwood City, Pa 


12 


Campbell, Ohio 


Farrell, Pa 


14 


Chillicothe, Ohio 


Greensburg, Pa 


18 


Coshocton, Ohio 


Hanover, Pa 


7 


Cuyahoga Falls, Ohio 


Harrison Township, Pa .. 


5 


East Liverpool, Ohio.. 


Homestead, Pa 

Indiana, Pa 


23 


Euclid, Ohio 


9 


Findlay, Ohio .. 


Teannette, Pa . 


10 


Fostoria, Ohio 


Kingston, Pa 


16 


Fremont, Ohio 


Lansdowne, Pa 


13 


Garfield Heights, Ohio 


Latrobe, Pa. 


11 


Ironton, Ohio 


Lewistown, Pa 


12 


Lancaster, Ohio 


Lock Haven, Pa. . . .. ... 


11 


Marietta, Ohio . 


McKees Rocks, Pa 


16 


Martins Ferry, Ohio_- . ... _ 


Mahanoy City, Pa 


7 


Mount Vernon, Ohio .. . 


Meadville, Pa . 


21 


New Philadelphia, Ohio 


Monessen, Pa 


16 


Niles, Ohio 


Mount Carmel, Pa. 


8 


Painesville, Ohio.. 


Mount Lebanon, Pa 


26 


Parma, Ohio 


Mnnhall, Pa 


21 


Piqua, Ohio 


Nanticoke, Pa 


19 


Salem, Ohio 


New Kensington, Pa 


24 


Sandusky, Ohio. . __ 


North Braddock, Pa . 


17 


Shaker Heights, Ohio 


Oil City, Pa 


17 


Struthers, Ohio 


Old Forge, Pa... 


3 


Tiffin, Ohio 


Phoenixville, Pa 

Pittston, Pa 

Plains Pa 


11 


Wooster, Ohio 


25 


Xenia, Ohio.— 




Ada, Okla 


Pl3rmouth, Pa 


13 


Ardmore, Okla.. . . 


Pottstown, Pa 

Pottsville, Pa .. ... 


17 


Bartlesville, Okla . 


27 


Chickasha, Okla 


Shaler, Pa 


4 


Durant, Okla . 


Shenandoah Pa 


15 


El Reno, Okla 


Steelton, Pa...... 


11 


Guthrie, Okla 


13 


McAlester, Okla 


Sunbury, Pa . . 


10 


Norman, Okla. . . ..... . ... 




15 


Okmulgee, Okla 


Tamaqua, Pa. ... . . 


7 


Ponca City, Okla 




27 


Sapulpa, Okla 


Vandergrift, Pa 


6 



36 



Table 15. — Number of police department employees, Apr. 30, 1946; cities with 
population from 2,500 to 25,000 — Continued 

CITIES WITH 10,000 TO 25,000 INHABITANTS— Continued 




Warren, Pa 

Waynesboro, Pa 

Westchester, Pa.. 

Bristol, R. I 

Cumberland, R. I 

Johnston, R. I 

Lincoln, R. I 

North Providence, R. I. 

Westerly, R.I 

West Warwick, R. I 

Anderson, S. C 

Florence, S. C 

Greenwood, S. C 

Orangeburg, S. C 

RockHill, S. C 

Sumter, S. C 

Aberdeen, S. Dak 

Huron, S. Dak._ 

Mitchell, S. Dak 

Rapid City, S. Dak_... 

Watertown, S. Dak 

Bristol, Tenn 

Clarksville, Tenn 

Cleveland, Tenn 

Columbia, Tenn 

Dyersbuig, Term 

Jackson, Tenn 

Kingsport, Tenn 

Big Springs, Tex 

Brownsville, Tex 

Brownwood, Tex--..... 

Bryan, Tex 

Cleburne, Tex 

Corsicana, Tex 

Denison, Tex 

Denton, Tex 

Greenville, Tex 

Harlingen, Tex 

Highland Park, Tex... 

Longview, Tex 

McAllen, Tex 

Marshall, Tex 

Pampa, Tex 

Paris, Tex 

Sherman, Tex 

Sweetwater, Tex 

Temple, Tex 

Terrell, Tex 



Texarkana, Tex 

University Park, Tex 

Victoria, Tex 

Logan, Utah 

Provo, Utah 

Rutland, Vt 

Charlottesville, Va 

Fredericksburg, Va 

Martinsville, Va 

Staunton, Va 

Suffolk, Va -- 

Winchester, Va 

Aberdeen, Wash 

Bremerton, Wash 

Hoquiam, Wash 

Longview, Wash 

Olympia, Wash_^ 

Vancouver, Wash .. 

Walla Walla, Wash 

Wenatchee, Wash 

Beckley, W. Va 

Bluefie.ld, W. Va 

Fairmont, W. Va 

Martinsburg, W. Va 

Morgantown, W. Va 

Moundville, W. Va 

South Charleston, W. Va_ 

Ashland, Wis 

Beaver Dam, Wis 

Chippewa Falls, Wis 

Cudahy, Wis 

Janesville, Wis 

Manitowoc, Wis 

Marinette, Wis 

Marshfield, Wis.. 

Menasha, Wis 

Neenah, Wis 

Shorewood, Wis 

South Milwaukee, Wis.. 

Stevens Point, Wis 

Two Rivers, Wis 

Watertown, Wis 

Waukesha, Wis 

Wisconsin Rapids, Wis.. 

Casper, Wyo 

Cheyenne, Wyo 

Laramie, Wyo 

Sheridan, Wyo 



CITIES WITH 2.500 TO 10,000 INHABITANTS 



Albertville, Ala 

Alexander City, Ala 

Andalusia, Ala 

Atmore, Ala 

Attalla, Ala 

Auburn, Ala 

Brewton, Ala 

Carbon Hill, Ala.... 

Clanton, Ala 

Cullman, Ala 

Demopolis, Ala 

Enterprise, Ala 

Fayette, Ala 

Greenville, Ala 

Guntersville, Ala.... 

Hartselle, Ala 

Homewood, Ala 

Jasper, Ala 

Lanett, Ala 

Leeds, Ala 

Northport, Ala 

Opelika, Ala 

Ozark, Ala 

Piedmont, Ala 



Prattville, Ala 

Prichard, Ala 

Roanoke, Ala 

Russcllville, Ala... 

Sheffield, Ala 

Sylacauga, Ala 

Tarrant City, Ala.. 

Troy, Ala 

Tuskegee, Ala 

Union Springs, Ala 

Bisbee, Ariz 

Clifton, Ariz 

Douglas, Ariz 

Flagstaff, Ariz 

Glendale, Ariz 

Globe, Ariz 

Mesa, Ariz 

Miami, Ariz 

Nogales, Ariz 

Prescott, Ariz 

Tempe, Ariz 

Williams, .\riz 

Winslow, Ariz 

Yuma, Ariz 



37 



Table 15. — Number of -police department employees, Apr. SO, 1946; 
population from 2,500 to 25,000 — Continued 



cities with 



CITIES WITH 2,500 TO 10,000 INHABITANTS-Continued 




City 


Number of 
police de- 
partment 

employees 


City 


Number of 
police de- 
partment 

employees 


Brinkley, Ark... 


3 

8 
2 
2 
6 
3 
3 
2 
8 
3 
5 
7 
4 
6 
3 
3 
2 
3 
6 
2 
2 
3 
3 
6 
4 
3 
4 
4 
5 
4 
3 
6 
18 
11 
7 
3 
9 
7 

14 
6 
12 
5 
8 
18 
13 
17 
4 
26 
14 
9 
5 
21 
11 
14 
12 
9 
4 
4 
4 
9 
4 
7 

15 
16 
15 
7 
4 
13 
9 
11 
12 
9 
5 
5 
8 
8 
4 


Madera, Calif 


6 


Camden, Ark. . .. . 


Manhattan Beach, Calif 


13 


Clarendon, Ark 


Martinez, Calif 


g 


Clarksville, Ark 


Marysvllle, Calif.. 


16 


Conway, Ark 


Menlo Park, Calif 


6 


Crossett, Ark 


Mill Valley, Calif 


6 


De Queen, Ark _ 


Montebello, Calif 

Monterey Park, Calif 


19 


Dermott, Ark 


16 


Fayetteville, Ark . 


Mountain View, Calif. 


6 


Fordyce, Ark 


Napa, Calif 


15 


Harrison, Ark 


Needles, Calif 


6 


Helena, Ark. .__ 


Newport Beach, Calif- . . 


17 


Malvern, Ark 


North Sar^ramento Calif 


6 


Mena, Ark ... . .. 


Oakdale, Calif 


3 


Monticello, Ark 


Oceanside, Calif 


16 


Morrilton, Ark 


Orange, Calif 


11 


Nashville, Ark _ 


Oroville, Calif .. ... .. 


7 


Osceola, Ark 


Oxnard, Calif 


26 


Paragould, Ark. . . ... 


Pacific Grove, Calif. 


6 


Paris, Ark .. . 


Palm Springs, Calif 


15 


Pocahontas, Ark 


Paso Robles, Calif 


10 


Prescott, Ark .. .. .. .. 


Petaluma, Calif .. 


11 


Rogers, Ark 


Piedmont, Calif 


19 


Russellville, Ark 


Pittsburg, Calif 


17 


Searcy, Ark 


Placer ville, Calif 


4 


Siloam Springs, Ark 


PortervUle, Calif 


8 




Red Bluff, Calif 


4 


Stuttgart, Ark 


Redding, Calif 


14 


Trumann, Ark .. . . ... .. 


Reedley, Calif 


5 


West Helena, Ark 


Roseville, Calif 


9 


Wynne, Ark ... ... . 


San Anselmo, Calif . . 


9 


Antioch, Calif 


San Bruno, Calif . . 


12 


ircadia, Calif 


San Carlos, Calif 


8 


Azusa, Calif.^ ... 


San Fernando, Calif 


19 


Banning, Calif 


Sanger. Calif 


7 


Brea Calif 


San Luis Obispo, Calif 


19 


Calexico. Calif 


San Marino, Calif 


20 


Carmr'1-by-the-Sea, Calif 


San Rafael, Calif 


14 


Chico, Calif-. ... . 


Santa Clara, Calif .. . 


10 


Chino, Calif 


Santa Maria, Calif 


17 


Chula Vista, Calif. 


Santa Paula, Calif 


11 


Claremont, Calif 


Sausalito, Calif . 


8 


Coalinga, Calif 


Selma, Calif 


6 


Colton, Calif .... 


Sierra Madre, Calif _ _ 


7 


Corona, Calif 


Signal Hill, Calif 


9 


Coronado, Calif . 


South San Francisco, Calif .. 


14 


Covina, Calif 


Sunnvvale, Calif 


9 


Culver City, Calif 


Taft Calif 


5 


Daly City, Calif 


Torrance, Calif . . . . 


20 


Delano, Calif 


Tracy, Calif . . 


12 


Dinuba Calif 


Tulare Calif 


14 


El Cerrito, Calif 


Turlock, Calif . .. 


12 


El Monte, Calif 


Ukiah Calif 


7 


El Segundo, Calif . 


Upland, Calif ... 


21 


Emeryville Calif 


Visalia, Calif 


16 


Escondido, Calif... 


Watson ville, Calif 


16 


Exeter, Calif 


Woodland, Calif 


11 


Fillmore Calif 


Yuba City, Calif 


6 


Fort Bragg, Calif _ 




6 


Gardena, Calif 




7 


Glendora, Calif 


Canon City, Colo 


3 


Grass Valley, Calif 


Delta, Colo. .— 

Durango, Colo . 


5 


Hanford Calif 


4 


Hawthorne, Calif 


Englewood, Colo. . ... .. 


9 


Hayward, Calif 


Florence, Colo . .. .. 


2 


Healdsburg Calif 


Fort Morgan, Colo 


5 


Hemet, Calif 


Golden, Colo ._ 


5 


Hermosa Beach, Calif 


La Junta, Colo 


11 


Hillsborough, Calif. 


Lamar, Colo . ... . 


4 


Huntington Beach, Calif 


Leadville, Colo 


3 


Laguna Beach Calif 


Longmont, Colo .. 


8 


La Mesa, Calif 


Loveland, Colo ... . 


8 


La Verne, Calif 


Monte Vista, Colo... 


3 


Lindsay Calif 


Montrose, Colo . . 


5 




Rocky Ford, Colo... . . 


3 


Lompoe, Calif 


Salida, Colo . 


6 


Los Gatos, Calif 


Sterling, Colo 


8 



38 



Table 15. — Number of 'police department employees, Apr. 30, 1946; cities with 
population from 2,500 to 25,000 — Continued 

CITIES WITH 2,500 TO 10,000 INHABITANTS— Continued 



City 



Walsenburg, Colo 

Danielson, Conn 

Groton, Conn 

Putnam, Conn 

Rockville, Conn 

Southington, Conn 

Stafford Springs, Conn__. 

Winsted, Conn 

Dover, Del 

Laurel, Del 

Milford, Del 

Newark, Del 

Seaford, Del 

Apalachicola, Fla.^_ 

Auburndale, Fla 

Avon Park, Fla 

Bartow, Fla 

Belle Glade, Fla 

Cocoa, Fla 

Coral Gables, Fla 

Dade City, Fla 

Dania, Fla 

De Funiak Springs, Fla.. 

DeLand, Fla 

Delray Beach, Fla 

Eustis, Fla 

Fernandina, Fla 

Fort Pierce, Fla 

Haines City, Fla 

Hialeah, Fla 

Hollywood, Fla 

Homestead, Fla 

Jacksonville Beach, Fla_ 

Kissimmee, Fla 

Lake City, Fla 

Lake Worth, Fla 

Leesburg, Fla 

Live Oak, Fla 

Madison, Fla 

Marianna, Fla 

Melbourne, Fla 

New Smvrna Beach, Fla 

Ocala, Fla: 

Palatka, Fla 

Palm Beach, Fla 

Perry, Fla 

Plant City, Fla 

Quincy, Fla 

Sebring, Fla 

Vero Beach, Fla 

Wauchula, Fla 

Winter Park, Fla 

Americus, Ga 

Bainbridge, Ga 

Barnesville, Ga 

Baxley, Ga 

Blakely, Ga 

Buford, Ga 

Cairo, Ga 

Calhoun, Ga 

Canton, Ga 

CarroUton, Ga 

Cartersville, Ga 

Cedartown, Ga 

College Park, Ga 

Commerce, Ga 

Cordele, Ga 

Covington, Ga 

Cuthbert, Ga 

Dawson, Ga 

Douglas, Ga 

Dublin, Ga 

Eastman, Ga 

Elberton, Ga 

Fitzgerald, Ga 

Fort Valley, Ga 

Hapeville, Ga 



Number of 
police de- 
partment 

employees 




Hawkinsville, Oa 

Hogansville, Ga 

Jesup, Ga 

Lafayette, Ga 

Manchester, Ga 

Marietta, Ga 

Milledgeville, Ga 

Monroe, Ga 

Newman, Ga 

Pelham, Ga 

Porterdale, Ga 

Quitman, Ga 

Rockmart, Ga 

Rossville, Ga 

Sandersville, Ga 

Silvertown, Ga 

Statesboro, Ga 

Sylvania, Ga 

Thomson, Ga 

Tifton, Ga 

Toccoa, Ga 

Trion, Ga 

Waynesboro, Ga 

West Point, Ga 

Winder, Ga 

Alameda, Idaho 

Blackfoot, Idaho 

Burlev, Idaho 

Caldwell, Idaho 

Emmett, Idaho 

Gooding, Idaho 

Jerome, Idaho 

Kellogg, Idaho 

Malad City, Idaho 

Montpelier, Idaho 

Moscow, Idaho 

Payette, Idaho 

Preston, Idaho 

Rupert, Idaho 

St. Anthony, Idaho. . 

Sandpoint, Idaho 

Weiser, Idaho 

Abingdon, 111 

Aledo, 111 

Anna, 111 

Arlington Heights, 111 

Barrington, 111 

Batavia, 111 

Beardstown, 111 

Bellwood,Ill 

Belvidere, 111 

Bradlev, 111 

Bushnell, 111 

Carbondale, 111 

Carlinville, 111 

Carlvle, 111 

Carrhi, 111 

Cartorville, 111 

Carthage, 111 

Casey, 111 

Charleston, HI 

Christopher, Dl 

Clinton. Ill 

Collinsville, 111 

Creve Coeur, 111 

Crystal Lake, 111 

De'Kalb, 111 

Des Plaines, 111 

Dolton,Ill 

Downers Grove, 111.. 

Du Quoin, 111 

East Alton, 111 

East Peoria, 111 

Edwardsville, 111 

Effingham, 111 

Eldorado, 111 

Evergreen Park, 111. _ 



39 



Table 15. — Number of police department employees, Apr. 30, 1946; cities with 
population from 2,500 to 25,000 — Continued 



CITIES WITH 2,500 TO 10,000 INHABITANTS-Continued 




City 


Number of 
police de- 
partment 

employees 


City 


Number of 
police de- 
partment 

employees 


Fairfield, 111 


5 
6 
5 
1 
3 
2 
4 
8 
2 
4 

11 

11 
4 
5 
4 
4 
4 
5 
4 

11 
4 
3 
4 
2 
9 
5 

20 
5 
4 
2 
4 
4 
3 
7 
8 
3 

10 

12 
6 
3 
4 
4 
7 
8 
2 
4 
6 
3 
5 
3 
7 
2 
8 
8 
4 
4 
3 
4 
9 
2 
3 
7 
3 
1 
2 
2 
6 
4 
3 

22 
6 

13 
4 
5 
4 
3 
5 


Salem, 111 

Sandwich, 111 


6 
2 
6 
3 

2 

15 


Flora, 111 


Frankhn Park, HI 




Fulton, 111 


Shelbyville, 111 


Galena, 111 


Silvis, 111 


Galva, 111 


Skokie, 111 


Geneseo, 111 


South Beloit 111 


o 


Geneva, 111 .._ ... __ 


Sparta, 111 -. 


2 

4 


Georgetown, 111 


Spring Valley, 111 


Gillespie, 111 


Staunton, 111 . - 




Glencoe, 111 


Stpger, 111 


2 


Glen Ellyn, 111 . . 


Sullivan, 111 


4 


Glenview, IlL— ._ 


Summit, 111 . 


20 


Greenville, 111 


Sycamore, 111 


3 


Havana, 111 » 


Taylorville 111 


5 


Herrin, 111 


Tuscola, 111 - - 




Highland. Ill 


Vandalia, 111 


5 


Highwood, 111 


Venice, 111 


13 


HOlsboro, 111 


Villa Park, 111 ... 


7 


Hinsdale, 111 


Washington Park, 111 


2 


Homewood, 111 . ., _ _. 


Watseka, 111 


3 


Hoopeston. Ill .. . 


West Chicago, 111 


3 


Jerseyville, 111 . 


Western Springs 111 


7 


Johnston City, 111 


Westmont, 111 




Kenilworth, 111 


Wheaton 111 


g 


La Grange Park, 111 


White Hall, 111 


3 


Lake Forest, 111 . 


Wood River, 111 


6 


Lansing, 111 


Woodstock, 111 


(5 


Lawrence ville, 111 ... . . 


Zeigler, 111 


3 


Lemont, 111 


Zion 111 


5 


Liberty ville. Ill 




,5 


Litchfield, 111 




9 


Lockport, 111 


Attica Ind 


2 


Lombard, 111--. . _ 






Lyons, 111 - . 




3 


McLeansboro, HI 


Bates ville Ind 


2 


Macomb, 111 .-_ - - ------ 


Beech Grove, Ind 


4 


Madison, 111 


Bicknell Ind 


3 


Marion, 111 


Bluffton Ind 


g 


Marseilles, 111 


Boonville, Ind 


3 


Marshall, 111 


Brazil Ind 




Mendota, 111 


Clinton, Ind . 


8 


Metropolis, 111 _ -.- 


Columbia Citv, Ind 




Monmouth, 111 


Crown Point Ind 


4 


Monticello, 111 


Decatur, Ind 




Morris, HI 




2 


Mount Carmel. Ill 

Mount Olive, 111 . - 


East Gary, Ind 

Franklin tnd 


3 

4 


Murphysboro, 111 -- _ 


Garrett, Ind - - __-_---. 


3 


Nameoki. Ill 


Gas Citv, Ind . - 


3 


Naper ville. IlL-- 


Greencastle Ind 


4 


Nokomis, 111 

Normal, 111 .. .--- _ 


Greenfield , Ind 

Greensburg, Ind 


3 

5 


North Chicago, 111 

Oak Lawn, 111 


Hartford City, Ind 

Highland, Ind 


4 
1 


Oglesby, 111 . . 


4 


Oregon, 111 


Huntingburg, Ind 


2 


Pana, 111 


3 


Paris, 111 




2 


Paxton, 111 


Kendallville, ind 

Lawrenceburg, Ind 

Lebanon , Ind 

Linton, Ind 

Madison. Ind 

Martinsville, Ind _- 

Mitchell, Ind 

Monticello, Ind 

Mount Vernon, Ind : 

Nappanee, Ind 

Noblesville, Ind 

North Manchester, Ind 

North Vernon, Ind 

Oakland City, Ind 

Petersburg, Ind 

Plymouth, Ind 

Portland, Ind 

Princeton, Ind 


4 


Peoria Heights, 111 


4 


Peru, 111 


5 


Petersburg, 111 

Phoenix, 111 


5 
6 


Pinckney ville. 111 


4 


Pittsfield, 111 


3 


Pontiac, 111 - . . 


2 


Princeton, 111 


4 


Riverdale, 111 


3 


River Forest, 111 . . 


6 


River Grove, 111 


2 


Riverside, 111 

Robinson, 111 

Rochelle, 111 


4 
2 
2 


Rock Falls, 111 


3 


Roodhouse ,111 

St. Charles, 111 


4 
5 



40 



Table 15. — Number of police department employees, Apr. 30, 1946; cities with 
population from 2,500 to 25,000 — Continued 

CITIES WITH 2,500 TO 10,000 INHABITANTS— Continued 



City 



Rensselaer, Ind 

Rochester, Ind 

Rushville, Ind 

Salem, Ind 

Seymour, Ind 

Sullivan, Ind 

Tell City, Ind 

Tipton, Ind 

Union City, Ind 

Valparaiso , Ind - 

Wabash, Ind 

Warsaw, Ind 

Washington, Ind 

West Lafayette, Ind- _- 
West Terre Haute, Ind- 

Winchester, Ind 

A.lbia, Iowa 

Algona, Iowa 

Anamosa, Iowa - - 

Atlantic, Iowa 

Belle Plaine, Iowa 

Bettendorf, Iowa 

Bloomfield, Iowa 

Carroll, Iowa 

Cedar Falls, Iowa 

Centerville, Iowa 

Chariton, Iowa 

Charles City, Iowa 

Cherokee, Iowa 

Clarinda, Iowa 

Clarion, Iowa 

Clear Lake, Iowa 

Cresco, Iowa 

Creston, Iowa 

Decorah, Iowa — - 

Denison, Iowa 

Eagle Grove, Iowa 

Eldora, Iowa 

Emmetsburg, Iowa 

Estherville, Iowa 

Fairfield, Iowa. 

Forest City, Iowa 

Glenwood, Iowa 

Grinnell, Iowa 

Hampton, Iowa 

Harlan, Iowa 

Hawarden , lo wa 

Humboldt, Iowa 

Independence, Iowa — 

Indianola, Iowa. - - 

Iowa Falls, Iowa 

Jefferson, Iowa 

Knoxville, Iowa 

Le Mars, Iowa 

Maquoketa, Iowa 

Marion, Iowa 

Missouri Valley, lowa^. 

Monticollo, Iowa 

Mount Pleasant, Iowa. 

Nevada, Iowa 

New Hampton, Iowa- - 

Oelwein, Iowa 

Onawa, Iowa 

Osage, Iowa 

Osceola, Iowa 

Pella, Iowa 

Perry, Iowa 

Red Oak, Iowa 

Rock Rapids, Iowa 

Sac City, Iowa 

Sheldon, Iowa 

Shenandoah, Iowa 

Spencer, Iowa 

Storm Lake, Iowa 

Tama, Iowa 

Tipton, Iowa 

Vinton, Iowa. - 



Number of 
police de- 
partment 

employees 




Washington, Iowa 

Waukon, Iowa 

Waverly, Iowa 

Webster City, Iowa 

West Des Moines, Iowa. 

Winterset, Iowa.. 

Abilene, Kans 

Anthony, Kans 

Augusta, Kans 

Baxter Springs, Kans. . . 

Belleville, Kans 

Beloit, Kans.. 

Caney, Kans 

Cherry vale, Kans 

Clay Center, Kans 

Columbus, Kans 

Concordia, Kans 

Council Grove. Kans 

Dodge City, Kans 

Eureka, Kans 

Fredonia, Kans 

Galena, Kans 

Garden City, Kans 

Garnett, Kans 

Gii-ard, Kans 

Goodland, Kans 

Great Bend, Kans 

Hays, Kans 

Herington, Kans. 

Hiawatha, Kans.. 

Hoisington, Kans 

Holton, Kans 

Horton, Kans. 

lola, Kans 

Junction City, Kans 

Larned, Kans 

Liberal, Kans 

Lyons, Kans 

McPherson, Kans 

Marysville, Kans 

Neodesha, Kans 

Norton, Kans 

Olathe, Kans 

Osawatomie, Kans 

Paola, Kans 

Pratt, Kans 

Russell, Kans 

Wellington. Kans 

Winfield, Kans 

Bardstown, Ky 

Bellevue, Ky 

Carrollton, Ky 

Central City, Ky 

Corbin, Ky 

Cumberland, Ky 

Cynthiana, Ky 

Danville, Ky 

Dawson Springs, Ky 

Dayton, Ky 

Elizabethtown, Ky 

Franklin, Ky 

Georgetown. Ky 

Glasgow, Ky 

Harlan, Ky 

Harrodsburg, Ky 

Hazard. Ky 

Irvine, Ky.. 

Jenkins, Ky 

Lebanon, Ky 

Ludlow, Ky 

Madisonville, Ky 

Mayfield, Ky... 

Maysville, Ky 

Morganfield, Ky 

Mount Sterling, Ky 

Murray, Ky 

Nicholasville, Ky 



41 



Table 15. — Number of police department employees, Apr. 30, 1946; cities with 
population from 2,500 to 25.000 — Continued 



CITIES WITH 2,500 TO 10,000 INHABITANTS— Continued 




City 


Number of 
police de- 
partment 

employees 


City 


Number of 
police de- 
partment 
employees 


Paris, Ky _ .. _ . 


7 
9 
4 
5 
3 

10 
4 
6 
4 
9 
7 
8 

11 
3 
2 
8 
4 
5 
4 
5 
3 

10 
2 
5 
3 
3 

15 
5 
8 
3 
3 
7 
6 
3 
2 
6 
7 
5 
1 

10 
3 
2 
3 
5 

11 
6 
3 
3 
2 
4 
5 
3 
3 
6 
7 

11 

10 
9 
3 
4 
6 
4 
5 
8 
2 
4 
4 

12 
1 
5 
3 
5 
8 
6 

18 
2 
6 


Canton, Mass 

Concord, Mass _ 


8 


Pikeville, Ky 


11 


Pineville, Kv 


Dalton, Mass-.. 


3 


Princeton, Ky 


Dartmouth, Mass 

Dracut, Mass . 


12 




3 


Richmond, Ky 


Franklin, Mass... 


8 


Russell ville, Ky 


Great Barrington, Mass 


7 


Shelbyville, Ky 


Hingham, Mass... 


13 


Versailles Ky 


Hopedale, Mass . .. 


3 


Winchester, Ky 


Hudson, Mass 

Ipswich, Mass... . . 


11 


\bbeville. La 


8 


Tlastrnn T^fl 


Lee, Mass 


2 


Bossier City, La 


Longmeadow, Mass 

Ludlow, Mass ..... 


10 




11 


De Ridder L& 


Mansfield, Mass.. . _ _ 


9 




Middleboro, Mass 


8 


Donaldsonville La 


Millbury, Mass.- 


2 




Montague, Mass 


6 




Nantucket, Mass 

North Andover, Mass 

Orange, Mass . 


7 


Hammond, La 


6 




4 


Houma, La 


Palmer, Mass.. . __. .. 


7 


Tpnnprpttp Tvfl 


Provincetown, Mass. . _ _ _ _ 


7 




Randolpn, Mass . .. 


7 




Rockland, Mass 

Rockport, Mass. .... 


5 


TTnnlfln T^fl 


7 




Somerset, Mass 

South Hadley, Mass 

Spencer, Mass 


4 


Morgan City, La 


5 




3 


Pineville, La 


Stoughton, Mass. 


6 


Pnnphatmilfl T,fl 


Uxbridge, Mass. _ 


5 




Walpole, Mass -.. 


13 


Ruston, La 


Ware, Mass . 

Whitman, Mass _. __ .. 


5 


Siidell, La 


7 


Snrine: Hill La 


Winchendon, Mass... . 


7 




Albion, Mich 


7 




Allegan, Mich . . 


3 


Ville Platte La * 


Allen Park, Mich 


8 




Alma, Mich . .. 


5 


W^est Monroe, La 


Belding, Mich 


2 


Winnfield La 


Berkley, Mich 


7 




Bessemer, Mich _. _ . 


3 


Belfast Maine 


Big Rapids, Mich 


2 


Brewer, Maine. 


Boyne City, Mich 


3 


Buchanan, Mich _ 


4 


Cnlnis TVTainP 


Cadillac, Mich 


9 




Caro, Mich . .. 


2 




Center Line, Mich. ... _ . 


5 


T^nirfiplfi MainP 


Charlotte, Mich 


■ 3 




Cheboygan, Mich ... 


4 


Oflrdinpr M^ainP 


Clawson, Mich . _ __ ._ 


4 


TTnlln'CTjpli IVTninP 


Coldwater, Mich 


6 




Crystal Falls, Mich 


3 




Dowaeiac, Mich.. . . _._ 


6 


Presque Isle, Maine.. ._ 


Durand, Mich 

East Detroit, Mich _. 


1 




12 


"RnmfnrrJ A'TainP 


East Grand Rapids, Mich 


7 




East Lansing, Mich __ . 


5 


Brunswick Md 


Eaton Rapids, Mich. 


2 


Crisfield Md 


Fenton, Mich... _ 


2 




Fremont, Mich .. _ 


2 


Elkton Md 


Garden City, Mich... . . .. 


7 


T<'rn<!thnr5' M^fl 


Gladstone, Mich _ _ . . 


3 




Grand Haven, Mich 


6 




Grand Ledge, Mich . -. . 


2 


Laurel Md 


Greenville, Mich 


6 




Grosse Pointe, Mich 


15 


Takoma Park Md 


Grosse Pointe Farms, Mich. _ 


21 


Western Dort Md 


Grosse Pointe Woods, Mich ... __ 


11 


Westminster, Md 

Vbinston Mass 




4 


Hastings, Mich __._ . 


4 




Hillsdale, Mich 


3 




Houghton, Mich _ 


3 


\ver Mass 


Howell, Mich 


3 




Inkster, Mich.. 


15 




Ionia, Mich. 


4 


Bridgewater, Mass 


Iron River, Mich 


3 



42 



Table 15. — Number of police department employees, Apr. 30, 1946; cities with 
population from 2,500 to 25,000 — Continued 



CITIES WITH 2,500 TO 10,000 INHABITANTS— Continued 




City 


Number of 
police de- 
partment 

employees 


Oity 


Number of 
police de- 
partment 
employees 


TsliDeming Mich 


10 
4 
3 
2 
4 
7 
7 
4 
2 
5 
4 

10 
5 
4 

12 
2 
4 
3 
2 
fi 
5 
9 
5 
2 

11 
3 
1 
3 

12 
3 
6 

8 
12 

5 
11 

5 
4 
2 
8 
2 
3 
3 
13 
8 

8 
3 
8 
5 
13 
16 

6 
3 
4 
5 
3 
5 
6 
2 
3 
2 
6 
3 
5 
5 

10 
2 
7 
3 
3 
2 
8 
2 
3 


Red Wing, Minn. 


11 




Redwood Falls, Minn 


3 


L'Anse Mich 


Richfield, Minn 


5 




Robbinsdale, Minn__ .. . . 


5 


Laurium, M^ich 


St. James, Minn . 


3 


T,nrlin?tnn ATifh 


St. Louis Park, Minn 


5 




St. Peter, Minn 


3 


T^anistioue Mich 


Sauk Centre, Minn-- _ - - 


2 


Marine City, Mich 


Sauk Rapids, Minn - -- 


1 


Marshall, Mich 


Slpppy Eye, Minn 


3 




Staples, Minn . ._ . .-_ 


3 


Melvindale Mich 


Stillwater, Minn - - - 


8 


A/Tniint Plpasant Mich 


Thipf River Falls, Minn 






Tracy, Minn 


2 


T^Jpcflnnpp IVTirh 


Two Harbors, Minn 


5 




Wadena, Minn... . . . . 


4 


Northville Mich 


Waseca, Miim. -- . . - - 


3 




West St. Paul, Minn . . 


4 


Otseso M!ich 


White Bear Lake, Minn 


2 


Pptnstpv Mif>h 


Willmar, Minn 


8 




Windom, Minn,.. ., - .- - -- -- 


1 




Worthington, Minn 


7 




Aberdeen, Miss ... 


5 


Roeers Citv Mich 


Brookhaven, Miss ... 


6 




Canton, Miss ... _ ..- __ 


6 


St Clair Mich 


Columbia, Miss-- ... . . . 


7 




Corinth, Miss 


10 


St Johns Mich 


Grenada, Miss. . ... ._ 


6 


St Joseph, Mich 


Indianola, Miss_ .... . . . 


5 


St Louis Mich 


Leland, Miss . . . . 


4 




Lexington, Miss 


2 




McComb, Miss. ..... . . 


7 


Three Rivers Mich 


Moss Point, Miss. .... . . . ._ 


3 




Oxford, Miss . .-. 


4 


Wakefield Mich 


Pascagoula, Miss.__ . ... 


12 


Wayne, Mich 


Pass Christian, Miss 


2 


Zeeland Mich 


Philadelphia, Miss 


3 




Picayune, Miss • 


4 


Anoka M!inn 


Tupelo, Miss 


9 




Water Valley, Miss 


4 


Bemidji, Minn 


West Point, Miss 


5 


Benson Minn 


Winona, Miss . . . .-. 


2 


Blue Earth, Minn 


Yazoo City, Miss 


9 


BrP'^kpnrirlp'P M^inn 


Aurora, Mo . __ 


4 


Chisholm, Minn 


Berkeley, Mo_ ... . .. . -.. . .. 


2 


CloQuet Minn 


Borme Terre, Mo 


2 




Boonville, Mo . . 


5 




Brentwood, Mo... ... .. . 


7 


Crosby Minn 


Brookfield, Mo 


3 




Butler, Mo 


2 


Edina Miim 


California, Mo. . 


1 


Ely ATinn 


Cameron, Mo. . 


3 


Eveleth, Minn 


Carrollton, Mo... .. ..- 


3 


Efiirmnnt. M^inn 


Caruthersville, Mo 


6 


Gilbert, Minn 


Chillicothe, Mo -- 


9 


Glenwood Minn 


Crystal City, Mo 


1 




Desoto, Mo - 


2 




Dexter, Mo - . 


4 


Hopkins Minn 


Eldon, Mo .- - - 


2 




Excelsior Springs, Mo-__ .. 


4 


International Falls, Minn 


Farmington, Mo . - - 


2 




Fayette, Mo . ... . 


2 


Lake City, Minn 

Litchfield, Minn 


Ferguson, Mo . ._ 


5 


Festus, Mo - ... --- 


1 


Little Falls, Minn 


Fredericktown, Mo... .. . . .. . . 


2 


Luverne, Minn 


Fulton, Mo --- .- --- 


7 


Marshall, Alinn 


Glendale, Mo. . . . .. 


6 




Hayti, Mo 


3 


Moorhead, Minn 


Higginsville, Mo - 


3 


M^orris, M!inn 


Jackson, Mo .. .- 


7 




Kennett, Mo... . - 


4 


"NTorthfield, Minn 




10 


North M^ankato Minn 


Lamar, Mo - 


2 


North St. Paul, Minn 


Lexington, Mo. ... .. . 


3 


Owatonna, Minn 


Liberty, Mo... .. . -.. ... - 


3 


Park Rapids Minn 


Louisiana, Mo - 


4 


Pipestone, Minn 


Macon, Mo 


5 



43 



Table 15. — Number of police department employees, Apr. 30, 1946; cities with 
population from 2,500 to 25,000 — Continued 



CITIES WITH 2,500 TO 10,000 


INHABITANTS— Continued 




City 


Number of 
police de- 
partment 

employees 


City 


Number of 
police de- 
partment 
employees 




2 
3 
6 
4 

10 
4 
6 
6 
5 
6 
5 
5 
2 
3 
4 
2 
2 
5 
1 
4 
5 
4 
8 
3 
4 
4 
3 
4 
8 
7 
2 
5 
8 
9 
3 
2 
3 
9 
4 
5 
2 
2 
6 
3 
7 
4 
4 
3 

10 
3 
7 
4 
2 
2 
3 
3 
6 
4 
2 
3 
3 
2 
6 
6 
5 

50 
6 
5 
5 
5 
6 
2 
3 
3 
9 

13 
' 12 


Beverly, N.J 


2 


M^axceline Mo 


Bogota, N. J_ . ... 


11 


Marshall, Mo 


Boonton, N. J . . .. . . 


8 


Maryville, Mo 


Bordentown, N. J-_ .. . 


6 


ATpYi'pn M^n 


Bound Brook, N. J 


12 




Bradley Beach, N. J . .. 


11 


Neosho M!o 


Butler, N. J 


4 




Caldwell, N. J 


11 


North Kansas City, Mo .- - 


Cape May, N. J_. 


9 




Carlstadt, N. J 

Chatham, N. J 


9 




7 


RoUa Mo 


Clementon, N. J 


2 




Closter, N. J 


7 


Salem, Mo . . ._ 


Dumont, N. J 


13 


Sikeston, Mo 


Dunellen, N. J 


7 


Slater, Mo • . .. .. 


East Paterson, N. J 


6 


Sullivan, Mo 


East Rutherford, N. J 


13 




Edgewater, N. J_ _ 


26 


Vandalia, Mo - 


Egg Harbor City, N. J 


1 


Washington Mo 


Fairlawn, N. J 


15 


Webb City. Mo 


Flemington, N. J__ .. .. 


3 


West Plains, Mo 


Fort Lee, N. J 


21 




Franklin, N.J 


3 


Cut Bank, Mont 


Freehold, N. J 


7 


Deer Lodge, Mont 


Garwood, N. J 


6 


Dillon, Mont 


Glassboro, N. J __ .. 


3 


Glasgow, Mont 


Glen Ridge, N. J 


20 




Glen Rock, N.J .. 


9 


Havre, M!ont 


Guttenberg, N. J 


11 


Kalispell, Mont 


Hackettstown, N. J... . 


4 


Laurel, Mont 


Haddonfield, N. J- .. 


20 




Haddon Heights, N.J 


11 




Haledon, N. J .- . _. .. 


6 


Miles City, Mont 


Hammonton, N. J .. ._ . 


7 


Shelby, Mont 


Hasbrouck Heights, N. J 


11 


Sidney, Mont 


Highland Park, N .J 


IS 


Whitefish, Mont 


Hightstown, N. J 


4 


Alliance, Nebr 


Hillsdale, N. J _ . 


6 




Keansburg, N. J_ . .. .. .. 


10 


Blair, Nebr 


Keyport, N. J.,-. .. .. 


7 


Broken Bow, Nebr 


Lambertville, N. J 


4 




Leonia, N. J 


13 


Columbus, Nebr 


Lindenwold, N. J .. .. 


3 


Crete, Nebr 


Little Ferry, N. J 








14 


Falls City, Nebr 


Manville, N. J 


11 




Margate City, N. J 


12 


Holdrege, Nebr 


Matawan, N. J . .. 


4 




Maywood, N. J . - . . 


10 


Lexington, Nebr 


Merchantville, N. J _ . ... 


» 


McCook Nebr 


Metuchen, N. J 


9 




Middlesex, N. J 


4 


Ogallala, Nebr 


Midland Park, N. J .. 


4 


O'Neill, Nebr 


Milltown, N. J 


2 


Plattsmouth, Nebr 


New Milford, N. J .. 


8 


Seward, Nebr 


Newton, N. J ... 


5 


Sidney, Nebr 


North Arlington, N. J 


15 


South Sioux City, Nebr 


Northfield, N. J . 


4 




North Haledon, N. J 


2 


Wahoo, Nebr 


Oaklyn, N. J 


4 


Wayne, Nebr . 


Ocean City, N. J 


27 


West Point, Nebr 




1 


York, Nebr 


Oradell, N. J .. 


6 


Elko, Nev-- -. .. 


Palisades Park, N. J 


10 


Ely, Nev 


Palmyra, N. J ... .. . 


7 


Las Vegas, Nev 


Paramus, N. J . . 


5 




Park Ridge, N. J 


3 


Derry, N. H 


Paulsboro, N. J_ ... .. -._ - 


10 


Exeter N H 


Penns Grove, N. J . .. 


7 


Franklin N H 


Pitman, N J 


6 


Lebanon, N H 


Pompton Lakes, N. J . .. 


4 


Littleton N H 


Princeton, N. J . . 


14 


Milford, N. H 


Prospect Park, N. J- _- ... .. 


a 


Newport, N H 


Ramsey, N. J 


4 


So mprs worth N TT 


Raritan, N. J . 


4 




Ridgefleld, N. J 


12 


Belmar, N. J 


River Edge, N. J 


7 



44 



Table 15. — Number of police department employees, Apr. SO, 1946; cities with 
population from 2,500 to 25,000 — Continued 

CITIES WITH 2,500 TO 10,000 INHABITANTS— Continued 



City 



Rockaway, N. J 

Roselle Park, N. J 

Rumson, N. J- 

Runnemede, N. J 

Salem, N. J 

Sayreville, N. J -- 

Secaucus, N. J-- -- 

Somerville, N. J.-- --- 

South Plainfield, N. J 

Tenafly, N. J..- 

Totowa, N. J 

Ventnor City, N. J 

Verona, N. J.. 

Vineland, N. J 

Wallington, N. J 

Wanaque, N. J 

Washington, N. J... 

West Caldwell, N. J 

West Paterson, N. J 

Westville, N. J 

Westwood, N. J 

Wharton, N.J 

Wildwood, N. J 

Woodbury, N. J ---. 

Woodlynne, N. J 

Wood-Ridge, N.J 

Alamogordo, N. Mex 

Belen, N. Mex -. 

Carlsbad, N. Mex 

Clayton, N. Mex 

Deming, N. Mex 

Gallup, N. Mex__. 

Hot Springs, N. Mex 

Las Cruces, N. Mex 

Las Vegas City, N. Mex_. 
Las Vegas town, N. Mex. 

Lordsburg, N. Mex 

Portales, N. Mex.__ 

Raton, N. Mex 

Silver City, N. Mex 

Socorro, N. Mex 

Tucumcari, N. Mex 

Albion, N.Y - 

Amityville, N. Y 

Babylon, N.Y - 

Baldwinsville, N.Y 

Ballston Spa, N. Y 

Bath, N.Y 

Brockport, N. Y 

Bronxville, N. Y 

Canajoharie, N. Y 

Canadaigua, N. Y 

Canastota, N. Y 

Canisteo, N. Y 

Canton, N.Y 

Carthage, N.Y 

Catskill,N. Y 

Cobleskill, N. Y 

Cooperstown, N.Y 

Croton-on-Hudson, N. Y. 

Dannemora, N. Y 

Dansville, N. Y 

Depew, N. Y 

Dobbs Ferry, N. Y 

Dolgeville, N. Y.. 

East Aurora, N. Y 

East Rochester, N. Y 

East Syracuse, N.Y 

Ellenville, N. Y 

Elmira Heights, N. Y 

Elmsford, N. Y.... 

Falconer, N. Y. 

Fort Edward, N. Y 

Fort Plain, N. Y 

Frankfort, N. Y 

Fredonia, N. Y 

Goshen, N.Y 



Number of 
police de- 
partment 

employees 




Gouverneur, N.Y 

Qowanda, N. Y 

Granville, N. Y 

Green Island, N. Y 

Greenport, N. Y 

Hamburg, N.Y 

Hastings-on-Hudson, N. Y_ 

Haverstraw, N. Y 

Herkimer, N. Y 

Highland Falls, N. Y 

Homer, N. Y 

Hoosick Falls, N. Y 

Horseheads, N. Y 

Hudson Falls, N. Y 

Ilion, N.Y 

Irvington, N. Y 

Lake Placid, N. Y 

Lancaster, N. Y 

Larchmont, N. Y 

Le Roy, N.Y 

Liberty, N.Y 

Lindenhurst, N. Y 

Liverpool, N. Y 

Long Beach, N, Y 

Lowville,N. Y 

Lyons, N.Y. 

Malone, N.Y__. 

Malverne, N. Y 

Mechanicville, N.Y 

Medina, N.Y 

Mohawk, N. Y 

Monticello, N. Y 

Mount Kisco, N. Y 

Mount Morris, N. Y 

Newark, N. Y 

New York Mills, N. Y 

North Pelham, N. Y 

Northport, N. Y 

North Tarrytown, N. Y . . . 

Norwich, N. Y 

Nyack, N. Y. 

Owego, N. Y 

Palmyra, N. Y 

Pelham Manor, N. Y 

Penn Yan, N. Y 

Pleasantville, N. Y 

Port Jervis, N. Y 

Potsdam, N. Y 

Rye, N.Y 

Sag Harbor, N. Y 

Salamanca, N. Y 

Saranac Lake, N. Y 

Saugerties, N. Y 

Scotia, N. Y 

Seneca Falls, N. Y 

Sidney, N.Y 

Silver Creek, N. Y 

Sloan, N.Y 

Solvay, N. Y 

Southampton, N. Y 

SpringValley, N. Y 

Springville, N. Y .. 

Suffern, N. Y 

Tarrytown, N. Y 

Ticonderoga, N. Y 

Tuckahoe, N. Y 

Tupper Lake, N. Y 

Walden, N. Y 

Wappingers Falls, N. Y... 

Warsaw, N.Y 

Waterford, N. Y 

Waterloo, N.Y 

Watkins Glen, N. Y 

Waverly, N. Y 

Wellsville, N. Y 

Westfield, N. Y 

Whitehall, N. Y 



45 



Table 15. 



■Number of 'police department employees, Apr. 30, 1946; cities with 
population from 2,500 to 25,000 — Continued 

CITIES WITH 2,500 TO 10,000 INHABITANTS— Continued 



City 


Number of 
police de- 
partment 

employees 


City 


Number of 
police de- 
partment 

employees 


Whitesboro, N. Y - . . . . , 


1 
1 

11 
8 
3 
6 
3 
9 
6 
4 
5 
6 
5 
5 
4 
5 
3 
5 

11 

10 
8 
9 

11 
6 

13 
4 
9 
7 
5 

11 

13 
3 
6 
6 
5 

10 
6 
5 
6 
2 
3 
8 
3 

11 
5 
5 
6 
4 
4 
3 
6 
4 
6 
3 
5 
1 
6 
2 
3 
8 
9 
6 
5 

14 
5 
4 
6 

12 
2 
5 
1 
3 
4 
8 
7 
2 
8 


Crestline, Ohio 


4 


Yorkville N Y 


Crooksville, Ohio 


1 


Albemarle, N. C -- 


Deer Park, Ohio . 


4 


Asheboro, N. C 


Defiance, Ohio . 


6 


Beaufort N C 


Delaware, Ohio 


9 


Belmont N C 


Delphos, Ohio . 


5 


Bessemer City, N. C 

Canton N C 


Dennison, Ohio .. 


4 


Dover, Ohio . . 


11 


Chapel Hill, N. C .-. 


East Palestine, Ohio 


5 


Cherryville, N. C 


Eaton, Ohio 


3 


Clinton, N. C . 


Elmwood Place, Ohio 


4 


Dunn, N. C 


Fairport Harbor, Ohio - _ . . 


3 


Edenton N 


Fairview, Ohio 


4 


Elkin, N. C 


Franklin, Ohio 


4 


Farmville, N. C 


Gallon, Ohio 


9 


Forest City N C 


Gallipolis, Ohio 


5 


Graham, N. C - 


Geneva, Ohio.. 


4 


Hamlet N C 


Girard, Ohio 


7 


Henderson N C 


Glouster, Ohio 


2 


Henderson ville, N. C . . - 


Grandview Heights, Ohio- --. . 


4 




Greenfield, Ohio.. 


4 


T.anrinbnre' N C 


Greenhills, Ohio 


4 


Lenoir, N. C 


Greenville, Ohio.. 


9 


liincolnton N C 


Hicksville, Ohio 


2 




Hubbard, Ohio 


4 


Marion N. C 


Jackson, Ohio . 


6 


Monroe N C 


Kent, Ohio 


5 


Mooresville, N. C 


Kenton, Ohio . . 


8 


Morehead City, N. C 


Lebanon, Ohio... 


5 


Lockland, Ohio 


13 


Mount Airy, N. C 


Logan, Ohio ... . .. 


5 


Mount Olive N C 


London, Ohio . 


4 


Newton, N. C 


Louisville, Ohio-_ ...... .... 


2 


North Wilkesboro N C 


Maple Heights, Ohio- 


11 


Oxford, N. C 


Marysville, Ohio.. - 


3 


Roanoke Rapids N C 


Maumee, Ohio.. 


6 


Rockingham, N. C 


Mayfield Heights, Ohio 


3 


Samford, N C 


Medina, Ohio 


3 


Smithfield, N. C 


Miamisburg, Ohio. 


7 




Middleport, Ohio 


2 


Spindale, N. 


Minerva, Ohio 


2 


Tarboro, N. C. 


Mingo Junction, Ohio 


5 


Valdese, N. C 


Montpelier, Ohio. _ 


4 


Washington, N C 


Mount Healthy, Ohio ... 


4 


Waynes ville, N. C. 


Napoleon, Ohio _ 


5 


Whiteville, N C 


Nelsonville, Ohio J 


4 


Williamston N C 


New Boston, Ohio 


7 


Devils Lake,' N. Dak 


Newburgh Heights, Ohio 




Dickinson N Dak 


Newcomerstown, Ohio.. 


4 


Grafton, N. Dak 


New Lexington, Ohio, . 


2 


Jamestown, N. Dak 


Newton Falls, Ohio. . 


4 


Mandan N Dak 


North Baltimore, Ohio 


2 


Valley City, N. Dak 


North Canton, Ohio 


3 


Wahpeton, N Dak 


North College Hill, Ohio 


4 


Williston, N. Dak 


North Olmsted, Ohio.... 


4 


Amherst, Ohio 


North Royalton, Ohio . 


3 


Athens Ohio 


Norwalk, Ohio 


9 


Barnesville, Ohio 


Oakwood, Ohio 


14 


Bay, Ohio 


Oberlin, Ohio 


4 


Bedford Ohio 


Orrville, Ohio 


2 


BeUefontaine, Ohio 


Oxford, Ohio 


3 




Perrysburg, Ohio . 


6 


Berea Ohio 


Pomeroy, Ohio... 


4 


Bexley, Ohio 


Port Clinton, Ohio 


7 


Bowling Green, Ohio 


Ravenna, Ohio.., .__ _ 


8 


Bridgeport Ohio 


Reading, Ohio . 


10 




Rittman, Ohio 


1 




Rocky River, Ohio 


12 


Cadiz Ohio 


St. Bernard, Ohio .. ...... . 


13 




St. Clairsville, Ohio 


2 


CarroUton, Ohio 


St. Marys, Ohio 


5 


Celina Ohio 


Sebring, Ohio, . ... 


2 


Chagrin Falls, Ohio 


Shadyside, Ohio 


2 


Cheviot, Ohio 


Shelby, Ohio.. 


9 


Circleville, Ohio 


Sidney, Ohio 


11 




Silverton, Ohio 


6 


Conneaut. Ohio 


South Euclid, Ohio. - 


8 



46 



Table 15.— Number of police department employees, Apr. SO, 1946; cities with 
population from 2,500 to 25,000 — Continued 

CITIES WITH 2,500 TO 10,000 INHABITANTS— Continued 




Tipp City, Ohio 

Toronto, Ohio 

Troy, Ohio 

Uhrichsville, Ohio ' 

University Heights, Ohio 

Upper Arlington, Ohio 

Upper Sandusky, Ohio 

Urbana, Ohio 

Van Wert, Ohio 

Wadsworth, Ohio 

Wapakoneta, Ohio 

Washington Court House, Ohio 

Wellington, Ohio 

Wellston, Ohio 

Wellsville, Ohio 

Westerville, Ohio 

Westlake, Ohio 

Wickliffe, Ohio 

Willard, Ohio 

Willoughby, Ohio 

Wilmington, Ohio 

Wyoming, Ohio 

Altus, Okla 

Alva, Okla 

Atoka, Okla 

Bethany, Okla 

Blackwell, Okla 

Bristow, Okla 

Chandler, Okla_. 

Claremore, Okla 

Cleveland, Okla . 

Clinton, Okla 

Cushing, Okla 

Drumright, Okla 

Duncan, Okla 

Edmond, Okla 

Elk City, Okla 

Frederick, Okla 

Hartshorne, Okla 

Henryetta, Okla 

Hobart, Okla 

Holdenville, Okla 

Hollis, Okla 

Hominy, .Okla 

Hugo, Okla 

Idabel, Okla 

Kingfisher, Okla 

Madill, Okla 

Mangum, Okla 

Marlow, Okla 

Miami, Okla 

Nowata, Okla 

Okemah, Okla 

Pauls Valley, Okla 

Pawhuska, Okla 

Pawnee, Okla 

Perry, Okla 

Picher, Okla 

Poteau, Okla 

Pryor Creek, Okla 

Purcell, Okla 

Sand Springs, Okla 

Tahlequah, Okla 

Tonkawa, Okla 

VLnita, Okla 

Wagoner, Okla 

Watonga, Okla .- 

Weatherford, Okla 

Albany, Oreg 

Ashland, Oreg__ 

Baker, Oreg 

Burns, Oreg 

Coquille, Oreg 

Corvallis, Oreg . 

Cottage Grove, Oreg 

Dallas, Oreg 

Grants Pass, Oreg 



Hillsboro, Oreg 

Hood River, Oreg 

La Grande, Oreg 

Lebanon, Oreg 

McMinnville, Oreg 

Newberg, Oreg 

North Bend, Oreg 

Ontario, Oreg 

Oregon City, Oreg 

Pendleton, Oreg .. 

Roseburg, Oreg 

St. Helens, Oreg 

Seaside, Oreg 

Silverton, Oreg 

Springfield, Oreg 

The Dalles, Oreg 

Tillamook, Oreg 

Aldan, Pa 

Ambler, Pa 

Apollo, Pa 

Archibald, Pa 

Ashland, Pa 

Aspinwall, Pa 

Athens, Pa 

Avalon, Pa 

Avoca, Pa 

Bangor, Pa 

Beaver, Pa 

Bedford, Pa 

Bellefonte, Pa 

Bellwood, Pa 

Ben Avon, Pa 

Bentleyville, Pa 

Birdsboro, Pa 

Blairsville, Pa 

Blakely, Pa 

Bloomsburg, Pa 

Boyertown, Pa 

Brackenridge, Pa 

Brentwood, Pa 

Bridgeport, Pa 

Bridgeville, Pa 

Brockway, Pa 

Brookville, Pa 

Brownsville, Pa 

Burnham, Pa 

California, Pa 

Camp Hill, Pa 

Catasauqua, Pa 

Clarion, Pa 

Clarks Summit, Pa 

Clearfield, Pa 

Clifton Heights, Pa 

Clymer, Pa 

Coaldale, Pa 

Collingdale, Pa 

Coplay, Pa 

Corry, Pa.. 

Crafton, Pa 

Cresson, Pa 

Dallastown, Pa 

Danville, Pa 

Derry, Pa 

Downingtown, Pa 

Doylestown, Pa 

Dupont, Pa 

Duryea, Pa 

East Conemaugh, Pa... 

East Lansdowne, Pa 

East McKeesport, Pa... 
East Mauch Chunk, Pa 

East Pittsburgh, Pa 

East Stroudsburg, Pa... 

Ebensburg, Pa 

Edgewood, Pa 

Edwardsville, Pa.- 

Elizabethtown, Pa 



47 

Table 15. — Number of police department employees, Apr. 30, 1946; cities with 
population from 2,500 to 25,000 — Continued 

CITIES WITH 2,500 TO 10,000 INHABITANTS— Continued 



City 



Emmaus, Pa 

Emporium, Pa 

Emsworth, Pa 

Ephrata, Pa 

Etna, Pa 

Exeter, Pa 

Ferndale, Pa 

Ford City, Pa 

Forest City, Pa 

Forest Hills, Pa 

Forty Fort, Pa 

Fountain Hill, Pa 

Frackville, Pa 

Franklin, Pa 

Freedom, Pa 

Freeland, Paj 

Freeport, Pa 

Gallitzin, Pa 

Gettysburg, Pa 

Glassport, Pa 

Glenolden, Pa 

Greencastle, Pa 

Greenville, Pa 

Grove City, Pa 

Hatboro, Pa 

Hellertown, Pa 

Hollidaysburg, Pa_-- 

Honesdale, Pa 

Hummelstown, Pa._- 

Htmtingdon, Pa 

Ingram, Pa 

Irwin, Pa 

Jenkintown, Pa 

Jermyn, Pa 

Jersey Shore, Pa 

Johnsonburg, Pa 

Kane, Pa 

Kennett Square, Pa.. 

tvittanning, Pa 

Kutztown, Pa 

Lansdale, Pa 

Lansford, Pa 

Larksville, Pa 

Laureldale, Pa 

Leechburg, Pa 

Lehighton, Pa 

Lemoyne, Pa 

Lewisburg, Pa 

Lititz, Pa 

Luzerne, Pa 

Lykens, Pa 

McAdoo, Pa 

McDonald, Pa 

Manheim, Pa 

Marcus Hook, Pa 

Masontown, Pa 

Mauch Chimk, Pa... 

Mayfield, Pa 

Mechanicsburg, Pa_- 

Media, Pa 

Meyersdale, Pa 

Middletown, Pa 

Midland, Pa 

Millersburg, Pa 

Milton, Pa 

Minersville, Pa 

Monaca, Pa 

Monongahela, Pa 

Montoursville, Pa 

Moosic, Pa 

Morrisville, Pa 

Mount Joy, Pa 

Mount Oliver, Pa 

Mount Penn, Pa 

Mount Pleasant, Pa_ 

Mount Union, Pa 

Mimcy, Pa 



Number of 
police de- 
partment 

employees 




Pa, 



Myerstown, Pa. 
Nanty-Glo, Pa__ 
Nar berth, Pa__. 
Nazareth, Pa___. 
New Brighton, Pa. 
New Cumberland, 
Northampton, Pa_ 

North Bellevernon, Pa 

North Catasauqua, Pa 

North Charleroi, Pa 

North East, Pa 

Northumberland, Pa 

Norwood, Pa 

Oakmont, Pa 

Olyphant, Pa 

Oxford, Pa 

Palmerton, Pa 

Palmyra, Pa 

Patton, Pa 

Pen Argyl, Pa 

Perkasie, Pa 

Philipsburg, Pa 

Pitcairn, Pa 

Polk, Pa 

Port Vue, Pa 

Prospect Park, Pa 

Punxsutawney, Pa 

Quakertown, Pa 

Rankin, Pa 

Red Lion, Pa 

Renovo, Pa 

Reynoldsville, Pa 

Ridgway, Pa 

Ridley Park, Pa 

Roaring Spring, Pa 

Rochester, Pa 

Royersford, Pa 

St. Marys, Pa 

Sayer, Pa.._ 

Schuylkill Haven, Pa 

Scottdale, Pa 

Selinsgrove, Pa 

Sewickley, Pa 

Sharon Hill, Pa 

Sharpsburg, Pa 

Sharpsville, Pa 

Shillington, Pa 

Shippensburg, Pa 

Slatington, Pa 

Souderton, Pa 

South Connellsville, Pa 

South Fork, Pa 

South Greensburg, Pa 

Southwest Greensburg, Pa. 

South Williamsport, Pa 

Spangler, Pa 

Spring City, Pa 

Springdale, Pa 

State College, Pa 

Stroudsburg, Pa 

Sugar Notch, Pa 

Summit Hill, Pa 

Susquehanna, Pa 

Swarthmore, Pa 

Swoyerville, Pa 

Tarentum, Pa 

Taylor, Pa 

Throop, Pa 

Titusville, Pa 

Towanda, Pa .- 

Trafford, Pa 

Turtle Creek, Pa 

Tyrone, Pa 

Union City, Pa 

Verona, Pa..,, 

Waynesburg, Pa 

Weatherly, Pa 



48 

Table 15. — Number of police department employees, Apr. 30, 1946; cities with 
population from 2,500 to 25,000 — Continued 

CITIES WITH 2,500 TO 10,000 INHABITANTS— Continued 



City 



Wellsboro, Pa 

Wesley ville, Pa 

West Hazleton, Pa.. 
West Homestead, Pa.. 

Westmont, Pa 

West Newton, Pa 

West Pittston, Pa 

West Reading, Pa 

West View, Pa 

Williamstown, Pa 

Wilmerding, Pa 

Wilson, Pa 

Windber, Pa 

Winton, Pa 

Wyoming, Pa 

Wyomissing, Pa 

Yeadon, Pa 

Young wood. Pa 

Barrington, R.I 

Burrillville, R.I 

East Greenwich, R. I. 

Warren, R. I 

Abbeville, S. C 

Aiken, S. C 

Bamberg, S. C 

Batesburg, S. C 

Beaufort, S. C 

Camden, S. C 

Chester, S. C 

Clinton, S. C 

Conway, S. C 

Darlington, S. C 

Dillon, S. C 

Easley, S. C 

Fort Mill, S. C 

GafEney, S. C 

Georgetown, S. C 

Greer, S. C 

Hartsville, S. C 

HoneaPath, S. C... 

Kingstree, S. C 

Lake City, S. C 

Lancaster, S. C 

Laurens, S. C 

Marion, S. C 

Mullins, S. C 

Newberry, S. C 

Summerville, S. C . . . 

Union, S. C 

Walhalla, S.C 

Whitmire, S. C 

Williamston, S. C... 

York, S. C 

Brookings, S. Dak. . . 

Canton, S. Dak 

Deadwood, S. Dak . 
Hot Springs, S. Dak. 

Lead, S. Dak 

Madison, S. Dak 

Mobridge, S. Dak 

Pierre, S. Dak 

Sisseton, S. Dak 

Sturgis, S. Dak 

Vermillion, S. Dak... 

Yankton, S. Dak 

Alcoa, Tenn 

Athens, Tenn 

Brownsville, Tenn... 

Clinton, Tenn 

Cookeville, Tenn 

Elizabethton, Term.. 

Erwin, Tenn 

Etowah, Tenn 

Fayetteville, Tenn... 

Franklin, Tenn 

Gallatin, Tenn.. 

Harriman, Term 



Number of 
police de- 
partment 
employees 


City 


Number of 
police de- 
partment 
employees 


2 


.Tp.fpprson Citv, Tfinn 


1 


2 


La Follctte, Tenn 


8 


6 




3 


12 


Lebanon, Tenn 


5 


3 


Lenoir, Tenn . 


3 


2 


Tyftwisbnrg, Tfinn 


3 




Loudon, Tenn 


3 


6 


McMinnville, Tenn 


4 


5 


Martin, Tenn 


4 


2 

8 


Milan, Tenn 

Mount Pleasant, Tenn 


4 
3 


2 


Murfreesboro, Tenn .. 


10 


5 


Paris, Tenn . .. 


7 


3 


Pulaski, Tenn 


4 


3 


Ripley, Tenn 


4 


6 


Shelbyville, Tenn 


8 


15 


Sparta, Tenn . 


2 


1 


Springfield, Tenn 


6 


5 


Trenton, Tenn 


4 


3 


Union Citv, Tenn 


7 


4 


Winchester, Tenn 


4 


7 


Alamo Heights, Tex . . ... 


6 


8 


Alice, Tex 


5 


11 




2 


4 


Arlington, Tex 


6 


3 


Athens, Tex 


5 


5 


Ballinger, Tex 


2 


9 
9 


Beeville, Tex 

Bonham, Tex 


1 
5 


8 


Bowie, Tex 


6 


8 

7 


Brady, Tex 

Breckenridge, Tex 


4 
4 


6 




4 


4 


Brownfield, Tex 


5 


5 


Burkburnett, Tex .. 


4 


13 


Childress, Tex .. .. 


5 


9 


Cisco, Tex. ...... 


5 


12 


Clarksville, Tex 


4 


6 


Coleman, Tex 


4 


3 




2 


g 


Commerce, Tex 


3 


5 


Cooper, Tex . . 


1 


10 


Crockett, Tex 


3 


12 


Cuero, Tex . .. .. 


4 


6 


Dalhart, Tex .... ... 


3 




Dublin, Tex 


3 


11 


Eagle Pass, Tex . . 


1 


5 


Eastland, Tex 

Edinburg Tex 


3 
3 




Edna, Tex .. .. 


2 


4 


Flectra, Tex 


5 


5 


Ennis, Tex .. . 


5 


4 


Flovdada, Tex . . . 


2 


5 


Freeport, Tex 


4 




Gainesville, Tex 


11 


3 


Gatesville. Tex 


4 

2 


; 


Gladewater, Tex 


8 


g 


Gonzales Tex 


1 


3 




4 


8 


Hamilton, Tex .. 


2 


3 




5 


2 


Hereford ,Tex 


2 




Hillsboro, Tex 


4 


8 


Hunts ville, Tex 


; 


5 


Jacksonville, Tex - 


7 


5 




1 


6 


Kenedy, Tex 


2 


5 


Kerrville Tex 


2 


4 


Kilgore, Tex . 


11 


9 


Kingsville, Tex 


7 


3 


La Grange Tex 


2 


3 




£ 


5 


Lampasas, Tex .- 


< 


4 


La Porte Tex - 


] 


7 


Littlefield Tex 


2 


3 


Llano. Tex. 


2 



49 



Table 15.- 



-Numher of police department employees, Apr. 30, 1946; cities with 
population from 2,500 to 25,000 — Continued 



CITIES WITH 2,500 TO 10,000 INHABITANTS-Continued 




City 


Number of 
police de- 
partment 
employees 


City 


Number of 
police de- 
partment 

employees 


Lockhart, Tex 


1 
9 
1 

13 
1 
3 
1 
4 
5 
4 

15 
3 
9 
5 
5 
2 
9 

23 
2 

23 
2 
7 
3 
2 
1 

11 
1 
7 
3 
1 
4 
2 
6 
1 
3 
5 
4 
4 
4 
5 
7 
2 

11 
7 
7 
1 
5 
6 
2 
2 
4 
1 
8 
5 
2 
3 
3 
3 
6 
3 
2 
3 
3 
5 
2 
3 
2 
3 
3 
5 
4 
7 
9 
3 
4 
5 
7 


Windsor, Vt 


4 


Lufkin, Tex .. . . ... 


Winooski, Vt.. . 


4 


Luling, Tex . . . 


Abingdon, Va. 


6 


McKinney, Tex... 


Altavista, Va . 


3 


Marfa, Tex 


Appalachia, Va 


6 


Marlin, Tex --. - 


Bedford, Va. 


5 


Mart, Tex 


Big Stone Gap, Va 


4 


Memphis, Tex.. 


Blackstone, Va.. 


6 


Mercedes, Tex 


Bluefield, Va 


3 


Mexia, Tex 


Bristol, Va 


15 


Midland, Tex 


Buena Vista, Va 

Clifton Forge, Va 

Colonial Heights, Va 


5 


Mineola, Tex 


7 


Mineral Wells, Tex 


3 


Mission, Tex 


Covington, Va 


5 


Nacogdoches, Tex 


Emporia, Va 


4 


Navasota, TeX 

New Braunfels, Tex..-. 

Odessa, Tex 


Falls Church, Va 

Farmville, Va 

Franklin, Va- 

Front Royal, Va 

Galax, Va 


6 

7 

7 


Olney, Tex 

Orange, Tex 


6 
5 


Paducah, Tex 


Hampton, Va 


16 


Pasedena, Tex- . .-- 


Harrisonburg, Va 


16 


Pelly, Tex 


Hopewell, Va 


15 


Pharr, Tex 


Lexington, Va 


6 


Pittsburg, Tex _ 


Marion, Va 


6 


Plainview, Tex 


Norton, Va 


5 


Quanah, Tex . 


Phoebus, Va 


4 


Ranger, Tex-. _ ._ 


Pocahontas, Va _ 


3 


Raymondville, Tex. . 


Pulaski, Va 


10 


Robstown, Tex 


Radford, Va 


9 


Rosenberg, Tex... - - 


Salem, Va . . 


6 


Rusk, Tex.- 


Saltville, Va. . 


3 


San Benito, Tex 


South Norfolk, Va 


10 


Seagraves, Tex.. .. 


Waynesboro, Va 


13 


Slaton, Tex . ..... 


Williamsburg, Va 


7 


Smithville, Tex 


Wytheville, Va 


7 


Snyder, Tex 


Anacortes, Wash 


6 


Stamford, Tex 


Auburn, Wash 


6 


Stephenville, Tex... 


Camas, Wash.. .. . ... ...... 


6 


Sulphur Springs, Tex . 


Centralia, Wash 

Chehalis, Wash 


10 


Taylor, Tex. 


6 


Teague, Tex... ... 


Clarkston, Wash 


2 


Texas City, Tex 


Colfax, Wash 

Dayton, Wash 


4 


Vernon, Tex 


2 


Weatherford, Tex 


Enumclaw, Wash . .. . . .. __ 


2 


Wellington, Tex 

Weslaco, Tex 


Grand Coulee, Wash 

Kelso, Wash 


2 
11 


West University Place, Tex 

Yoakum, Tex 


Kent, Wash 


6 


Mnnnt Vernon, Wash 


6 


American Fork, Utah 


Pasco, Wash 


9 




Port Angeles, Wash .. .. ... 


12 


Bountiful, Utah 


Pullman, Wash 


5 


Brigham City, Utah 

Cedar City, Utah 

Heber, Utah 


Puyallup, Wash 


12 


Raymond, Wash 

Renton, Wash .. 


4 
15 


Helper, Utah 


Sedro Woolley, Wash 


3 


Lehi, Utah 


Shelton, Wash . 


6 


Mid vale, Utah 


Snohomish, Wash .. . ... 


4 




Toppenish, Wash. .. .. .. .. 


6 


Nephi, Utah 


Benwood, W. Va .. . .. 


6 


Orem, Utah 


Buckhannon, W. Va .. -- 


4 


Park City, Utah 


Charles Town, W. Va 


5 


Payson, Utah 


Chester, W. Va 


1 


Price, Utah 


Dunbar, W. Va 


3 


Richfield, Utah 


Elkins, W. Va.. . 


5 


St. George, Utah 


FoUansbee, W. Va 


2 


South Salt Lake, Utah 


Grafton, W. Va -- 


5 


Spanish Fork, Utah 


Hinton, W. Va 


9 


Springville, Utah 


Hollidays Cove, W. Va .. -- 


7 


Tooele, Utah 


Kenova, W. Va 


4 


Bellows Falls, Vt 


Keyser, W. Va 


5 


Brattleboro, Vt 


Keystone, W. Va 


5 


Montpelier Vt 


Logan, W. Va 


8 


Newport Vt 


McMechen, W. Va 


2 


St. Albans, Vt 


Mannington, W. Va 


2 


St. Johnsbury, Vt 


Mullens, W. Va 


4 


Springfield, Vt 


New Martinsville, W. Va 


2 



50 

Table 15. — Number of police department employees, Apr. 30, 1946; cities with 
population from 2,500 to 25,000 — Continued 

CITIES WITH 2,500 TO 10,000 INHABITANTS— Continued 



City 



Nitro, W. Va 

OakHill, W. Va 

Piedmont, W. Va 

Point Pleasant, W. Va. 

Princeton, W. Va 

Richwood, W. Va 

St. Albans, W.Va . 

Shinnston, W. Va 

Sisters ville, W. Va--..- 

Welch, W. Va 

Wellsburg, W. Va 

Weston, W.Va 

Williamson, W. Va 

Algona, Wis 

Antigo, Wis 

Baraboo, Wis 

Berlin, Wis 

Black River Falls, Wis 

Burlington, Wis 

Clintonville, Wis 

Columbus, Wis 

Delavan, Wis 

De Pere, Wis 

Edgerton, Wis 

Fort Atkinson, Wis 

Greendale, Wis 

Hartford, Wis 

Hudson, Wis 

Hurley, Wis 

Jefferson, Wis 

Kaukauna, Wis 

Kewaunee, Wis 

Kimberly, Wis 

Ladysmith, Wis 

Lake Geneva, Wis 

Lancaster, Wis 

Little Chute, Wis 

Mauston, Wis 

May ville, Wis 

Menomonie, Wis 



Number of 
police de- 
partment 

employees 


City 


Number of 
police de- 
partment 

employees 


1 


Merrill, Wis __ __ 


9 


7 


Monroe, Wis 


9 


3 


Neillsville, Wis .. 


2 


4 


New London, Wis_ 


5 


7 


Oconomowoc, Wis -- --. -- 


7 


2 


Oconto, Wis ... 


3 


4 


Park Falls, Wis 


2 


2 


Platte ville. Wis 


4 


2 


Plymouth, Wis . 


4 


7 


Portage, Wis 


7 


3 


Port Washington, Wis 


6 




Prairie du Chien, Wis 


3 


11 


Reedsburg, Wis_ ._ _ . --. .. 


2 


2 


Rhinelander, Wis 


8 


12 


Rice Lake, Wis ._ 


6 


9 


Richland Center, Wis 


5 


5 


Ripon, Wis 


5 


3 


River Falls, Wis-_ 


2 


5 


Shawano, Wis 


6 


4 


Sheboygan Falls, Wis .. . 


3 


3 


Sparta, Wis 


8 


4 


Spooner, Wis - 


4 


6 


Stoughton, Wis 


5 


5 


Sturgeon Bay, Wis. .. -.. -. 




6 


Tomah, Wis 




3 


Viroqua, Wis _ ... . . 




4 


Waupaca, Wis . .... 




3 






6 


West Bend, Wis 




2 


West Milwaukee, Wis _. 


11 


6 


Whitefish Bay, Wis 


14 


1 


Whitewater, Wis . . . 




3 


Cody, Wyo 




3 


Evanston, Wyo ... . .. 




4 


Green River, Wyo 


3 


2 


Lander, Wyo .. . .. 


3 


2 


Rawlins, Wyo . -. 


7 


2 


Riverton, Wyo... ..- 


3 


2 


Rock Springs, Wyo 


9 


7 


Worland, Wyo 


3 



ANNUAL REPORTS, 1945 

Offenses Cleared by Arrest, 1945 

The police, during 1945, arrested the slayer in 85.1 percent of their 
criminal homicide cases and the assailant in 75.9 percent of the crimes 
of rape and other felonious assault. In 25.9 percent of the crimes 
against property the perpetrator was arrested and made available for 
prosecution. 

The data available in table 16 indicate the relation between the 
number of offenses committed, the number cleared by arrest, and the 
number of persons arrested and held for prosecution. As an illustra- 
tion of the manner in which the figures should be interpreted it may 
be observed that for every 1,000 auto theft offenses reported 264 were 
cleared by the arrest of 203 persons. For comprehensive information 
as to offenses committed in 1945, reference should be made to the 
annual issue of this publication for that year (Volume XVI, 
Number 2). 

When one or more of the offenders involved in the commission of 
an offense has been taken into custody and made available for prosecu- 
tion, the reported offense is treated as cleared by arrest under the 
system of uniform crime reporting. Thus, it will be seen that the 
arrest of one individual may clear several offenses while under different 
circumstances the arrest of several persons may clear only one crime. 
The foregoing covers generally most of the clearances reported by 
the police. There are, however, certain exceptional circumstances 
under which an offense is treated as cleared where the offender is not 
actually arrested and charged with the commission of the offense. 
For example, if an offender in a murder case commits suicide the 
criminal homicide he committed is considered exceptionally cleared 
through the suicide of the offender. The general requisites of an 
' 'exceptional clearance" are that the identity and whereabouts of the 
offender are known to the police but for reasons beyond their control 
it is not possible to make him available for prosecution in the local 
jurisdiction. 

The recovery of stolen property does not in itself render an offense 
cleared; however, in connection with the comparatively small pro- 
portion of offenses against property cleared, it should be observed that 
in many of these cases the stolen property is recovered. This is 
particularly true with reference to the offense of auto theft. The 
reports received from the police for many years have reflected over 
90 percent of the stolen automobiles as recovered. For information 
concerning property stolen and recovered during 1945 reference may 
be made to Volume XVI, Number 2 of the Uniform Crime Reports 
Bulletin. 

It will be observed from the data in table 16 that for robbery and 
crimes against the person the number of persons charged frequently 

(51) 



52 

exceeds the number of offenses cleared. This is attributable in a 
large part at least to the intensive investigative attention the more 
serious crimes frequently receive. Naturally, when a criminal 
homicide, rape, or robbery is reported to the police every effort is 
exerted to arrest all persons involved, including those charged with 
being accessories. 

For manslaughter by negligence in cities with population in excess 
of 250,000 the figures appear unusual in that the number of persons 
charged actually exceeds the number of offenses reported. This 
situation which is consistently noted each year exists by reason of the 
fact that the police in a number of the larger cities follow the practice 
of arresting and charging with manslaughter all drivers of vehicles 
involved in fatal accidents pending the results of their investigation, 
and in a number of such instances this investigation reflects that no 
offense of negligent manslaughter occurred and the arrested offender 
is then released. 

For the crimes of burglary, larceny, and auto theft it will be noted 
that the number of offenses cleared by arrest generally exceeds the 
number of persons charged. Generally, the tendency of a recidivist 
to repeat the same type of crime is found to be most pronounced on 
the part of persons committing crimes against property, and the 
police through careful investigation incident to the arrest of an 
offender are often successful in clearing a number of previously 
unsolved crimes. 

The annual reports used in preparing the following tabulations were 
received from the police along with questionnaires concerning the 
nature of the entries on them. No reports were included unless the 
law-enforcement agency indicated the figures concerning offenses 
known to the police were based on a record of crimes and reported 
offenses and included all such incidents brought to the attention of the 
police. In addition the police departments represented in the tabula- 
tions mdicated the figures on their annual reports concerning offenses 
cleared by arrest were properly distinguished from data showing the 
number of persons arrested. 



53 




54 

Table 16. — Offenses known, offenses cleared by arrest, and persons charged {held for 
prosecution), 1945, hy population groups, number per 100 known offenses 

[Population figures from 1940 decermial censusj 



Criminal 
homicide 



Population group 



Mur- 
der, 
nonneg- 
ligent 
man- 
slaugh- 
ter 



TOTAL, GROUPS I-VI 

1,422 cities; total population, 47,034,' 
938: 

Offenses known 

Offenses cleared by arrest, 

Persons charged 

GROUP I 

30 cities over 250,000; total popula 
tion, 19,001,808: 

Offenses known 

Offenses cleared by arrest 

Persons charged 



44 cities, 100,000 to 250,000; total 
population, 6,342,720: 

Offenses known 

Offenses cleared by arrest 

Persons charged 

GROUP III 

85 cities, 50,000 to 100,000; total pop- 
ulation, 5,889,507: 

Offenses known 

Offenses cleared by arrest 

Persons charged 



GROUP IV 

167 cities, 25,000 to 50,000; total pop- 
ulation, 5,820,628: 

Offenses known 

Offenses cleared by arrest 

Persons charged --. 



GROUP V 

398 cities, 10,000 to 25,000;;total pop- 
ulation, 6,075,245: 

Offenses known 

Offenses cleared by arrest 

Persons charged 



GROUP VI 

698 cities under 10,000; total pop 
ulation, 3,905,030: 

Offenses known 

Offenses cleared by arrest 

Persons charged 



100.0 
86.9 
88.0 



100.0 

84.5 
86.4 



100.0 
90.4 
96.7 



100.0 
89.7 
83.0 



100.0 
89.4 
89.4 



100.0 
90.8 
93.9 



100.0 
87.0 
83.5 



Man- 
slaugh- 
ter by 
negli- 
gence 



100.0 
82.7 
97.9 



100.0 

88.7 
130.6 



100.0 
73.0 
72.3 



100.0 

78.7 
77.7 



100.0 
72.9 
71.3 



100.0 
91.0 
80.1 



100.0 
97.6 
90.5 



Rape 



100.0 
74.1 



100.0 
72.1 
58.0 



100.0 
67.0 
66.2 



100.0 
79.1 
83.2 



100.0 

79.8 

88.4 



100.0 
84.9 
87.6 



100.0 
78.1 
84.6 



Rob- 
bery 



100.0 
36.2 
39.0 



100.0 
35.1 
35.6 



100.0 
33.3 
34.9 



100.0 
37.8 
47.7 



100.0 
40.7 
52.6 



100.0 
41.5 
49.4 



100.0 

48.8 
56.1 



Aggra- 
vated 
assault 



100.0 
76.2 
73.7 



100.0 

72.7 
66.9 



100.0 
74.2 
67.5 



100.0 
84.2 
84.1 



100.0 

75.5 
80.5 



100.0 
84.5 



100.0 
86.1 
93.8 



Bur- 
glary— 
break- 
ing or 
enter- 
ing 



100.0 
31.3 



100.0 
32.7 
19.4 



100.0 
27.3 
19.5 



100.0 
30.3 
22.9 



100.0 
31.1 

25.9 



100.0 
31.1 
27.4 



100.0 
35.6 
34.4 



Lar- 
ceny — 
theft 



100.0 
22.8 
18.2 



100.0 
23.0 
17.6 



100.0 
21.9 
17.2 



100.0 
22.3 
18.5 



100.0 
23.4 
19.7 



100.0 
21.8 
17.8 



100.0 
26.9 
21.7 



55 




56 

Persons Charged (Held for Prosecution) , 1945 

The number of persons arrested and formally charged by the police 
in 1,422 cities, representing a combined population in excess of 
47,000,000, is presented in table 17. A substantial number of the 
arrests were for serious crimes, as indicated by the following figures: 

Criminal homicide 4,280 Forgery and counterfeiting 4,408 

Robbery 10,218 Rape 3,816 

Aggravated assault 20, 617 Narcotic drug laws 1, 877 

Burglary 36,379 Weapons (carrying, possessing, 

Larceny 74,627 etc.) 13,106 

Auto theft 23, 194 Driving while intoxicated 44, 832 

Embezzlement and fraud 6, 480 

Stolen property (receiving, 

etc.) 3,931 

Generally, the larger cities reported more arrests per unit of popu- 
lation than the small coramunities, although there were a few marked 
exceptions. As an illustration, the number of arrests for assault per 
100,000 inhabitants in cities with population from 50,000 to 100,000 
exceeded the figure for cities over 250,000. Generally, the arrest 
rates for burglary, larceny, auto theft, forgery and counterfeiting, and 
liquor law violations were higher in some of the groups of small cities 
than in the large, heavily populated districts. For driving while 
intoxicated the smallest figure for arrests per unit of population (65.7) 
is for the group of cities with more than 250,000 inhabitants, and the 
highest (165.2) in the group of cities with population under 10,000. 

In examining the data in table 17 it should be remembered that 
under the uniform crime reporting system the rules for scoring the 
number of persons charged differ from those for scoring the number 
of offenses known to the police. For example, if an automobile is 
stolen by two persons who are thereafter arrested, one offense of auto 
theft is listed as an offense known to the police; one offense of auto 
theft is treated as cleared by arrest and two persons are recorded as 
arrested and charged with auto theft. On the other hand, if one 
person commits two burglaries and is arrested, only one arrest for 
burglary is listed, although both burglary offenses would be scored 
as offenses known to the police and both would be treated as cleared 
by arrest. 



57 

Table 17. — Persons charged (held for prosecution), 1945, number and rate per 
100,000 inhabitants, by population groups 

[Population figures from 1940 decennial census] 



Oflense charged 



Criminal homicide: 

(a) Murder and nonnegli- 

gent manslaughter: 
Number of persons 

charged 

Rate per 100,000 

(b) Manslaughter by neg- 

ligence: 
Number of persons 

charged 

Mte per 100,000.... 
Robbery: 

Number of persons charged . 

Rate per 100,000 

Aggravated assault: 

Number of persons charged . 

Rate per 100,000 

Other assaults: 

Number of persons charged. 

Rate perlOO,000 

Burglary— breaking or entering: 

Number of persons charged . 

Rate per 100,000 

Larceny — theft: 

Number of persons charged. 

Rate per 100,000.. 

Auto theft: 

Nmnber of persons charged. 

Rate per 100,000 

Embezzlement and fraud: 

Number of persons charged . 

Rate per 100,000 

Stolen property; buying, re- 
ceiving, possessing: 

Number of persons charged _ 

Rate per 100,000 

Forgery and counterfeiting: 

Number of persons charged . 

Rate per 100,000 

Rape: 

Number of persons charged . 

Rate per 100,000 

Prostitution and commercial- 
ized vice: 

Number of persons charged. 

Rate per 100,000 

Sex offenses (except rape and 
prostitution) : 

Number of persons charged . 

Rate per 100,000 

Narcotic drug laws: 

N umber of persons charged. 

Rate per 100,000-. 

Weapons; carrying, possessing, 
etc.: 

Number of persons charged . 

Rate per 100,000 

Offenses against family and 
children: 

Number of persons charged. 

Rate per 100,000 



Total, 
1,422 
cities; 
total 
popula- 
tion 
47,034,938 



2,307 
4.90 



1,973 
4.19 



21.7 

20, 617 
43.8 

74. 582 
158.6 

36, 379 
77.3 

74, 627 
158.7 

23, 194 
49.3 

6.480 
13.8 



3,931 

8.4 

4,408 
9.4 

3,816 
8.11 



34, 317 
73.0 



22, 744 

48.4 



1,877 



13, 106 
27.9 



1 25, 634 
54.8 



Group I 



30 cities 

over 
250,000; 
popula- 
tion 
19.001,808 



1,222 
6.43 



1,062 
5.59 



5,858 
30.8 



9,219 

48.5 



29, 870 
157.2 



13. 857 
72. S 



26, 567 
139.8 



8,277 
43.6 



3,521 
18.5 



1,815 
9.6 



1,476 



1,675 
8.81 



19, 846 
104.4 



45.2 



1,082 
5.69 



3,545 
34.4 



2 10, 238 
54.7 



Group II 



44 cities, 
100,000 to 

250,000; 

popula- 
tion 
6,342.720 



351 
5.53 



4.56 



1,261 
19.9 



2,502 
39.4 



12, 930 
203.9 



5,365 
84.6 



11,531 
181.8 



4,184 
66.0 



1,061 
16.7 



525 
8.3 



593 
9.3 



600 
9.46 



,030 
95.1 



275 
4.34 



1,891 
29.8 



5,401 
85.2 



Group III 



85 cities, 
50,000 to 
100,000; 
popula- 
tion 
5,889,507 



283 
4.81 



234 
3.97 



1,113 
18.9 



},384 
57.5 



10. 191 
173.0 



5,094 



10. 861 
184.4 



2,853 
48.4 



536 
9.1 



421 
7.1 



567 
9.6 



3,914 
66.5 



2,412 
41.0 



250 
4.24 



25.3 



2,787 
47.3 



Group IV 



167 cities, 
25,000 to 
50,000; 
popula- 
tion 
5,820,628 



202 
3.47 



179 
3.08 



867 
14.9 



46.0 



8,704 
149.5 



4,605 
79.1 



10.839 
186.2 



2,866 
49.2 



712 
12.2 



531 
9.1 



788 
13.5 



380 
6.53 



2,502 
43.0 



3,555 
61.1 



.102 
1.75 



1,360 
23.4 



3,181 
54.7 



Group V 



398 cities, 
10,000 to 

25,000; 

popula- 
tion 

6,075,245 



153 
2.52 



133 
2.19 



719 
11.8 



1,794 
29.5 



8, 658 
142.5 



4,456 
73.3 



9,372 
154.3 



2,884 
47.5 



435 
7.2 



383 
6.3 



546 
9.0 



446 
7.34 



22.2 



1,748 
28.8 



102 



1,241 
20.4 



2,877 
47.4 



See footnotes at end of table. 



58 



Table 17. — Persons charged {held for prosecution), 1945, number and rate per 
100,000 inhabitants, by population groups — Continued 





Total, 
1,422 
cities; 
total 
popula- 
tion 
47,034,938 


Group I 


Group II 


Group III 


Group IV 


Group V 


Group VI 


Offense charged 


30 cities 

over 
250,000; 
popula- 
tion 
19,001,808 


44 cities, 
100,000 to 

250,000; 

popula- 
tion 
6,342,720 


85 cities, 
50,000 to 

100,000; 

popula- 
tion 
5,889,507 


167 cities, 
25,000 to 
50,000; 
popula- 
tion 
5,820,628 


398 cities, 
10,000 to 
25,000; 
popula- 
tion 
6,075,245 


698 cities 
under 
10,000; 

popula- 
tion 

3,905,030 


Liquor laws: 

Number of persons charged. 
Rate per 100,000 


21, 144 
45.0 

3 44, 832 
95.3 

5 5,416,P'>0 
12,036.7 

247, 266 
625.7 

914. 919 
1, 946. 2 

74. 744 
158.9 

81, 169 
172.6 

210, 140 
448.8 


6,297 
33.1 

12, 477 
65.7 

6 2,483,975 
14, 293. 5 

98, 266 
517.1 

352, 837 
1, 856. 9 

31, 406 
165.3 

42, 227 
222.2 

79, 218 
416.9 


4,088 
64.5 

4,644 
73.2 

U, 104,278 
17,911.9 

33, 988 
535.9 

138, 705 
2, 186. 8 

15,816 
249.4 

14, 207 
224.0 

36, 594 
576.9 


2,720 
46.2 

6,601 
112.1 

8 678, 666 
11,687.2 

31,915 
541.9 

110,611 
1, 878. 1 

9,535 
161.9 

11,615 
197.2 

34, 365 
583.5 


3,995 
68.6 

7,025 
120.7 

9 541, 340 
9, 366. 7 

30, 688 
527.2 

112,818 
1, 938. 2 

7,078 
121.6 

6,168 
106.0 

26, 395 
453.5 


2,575 
42.4 

4 7, 635 
126.0 

10 400, 604 
6, 689. 2 

31, 532 
519.0 

120, 265 
1, 979. 6 

6,336 
104.3 

4,723 

77.7 

21, 679 
356.8 


1,469 
37.6 


Driving while intoxicated: 

Number of persons charged . 
Rate per 100,000 


6,450 
165.2 


Traffic and motor vehicle laws: 
Number of persons charged - 
Rate per 100,000 . 


11 207, 937 
5, 354. 


Disorderly conduct: 

Number of persons charged. 
Rate per 100,000 


20, 866 
534.3 


Drunkenness: 

Number of persons charged. 
Rate per 100,000 


79, 683 
2, 040. 5 


Vagrancy: 

Number of persons charged. 
Rate per 100,000 


4,573 
117.1 


Gambling: 

Number of persons eharged- 
Rate per 100,000 


2, 219 

56.8 


All other offenses: 

Number of persons charged - 
Rate per 100,000 


11, 889 
304. 5 







1-11: The number of persons charged and the rate are based on the reports from the number of cities indi 
cated below: 



Footnote 


Cities 


Population 


1 . . 


1,421 

29 

1,421 

397 

1,410 

29 

43 

84 

166 

393 

695 


46, 740, 204 


2 


18, 707, 074 


3 ... ... _ 


47, 019, 431 


4 .. . . - - -- 


6, 059, 738 


5 ....._.._ 


45, 002, 358 


6 .. 


17, 378, 356 


7 ... ... 


6, 165, 058 


8' - .- 


5, 806, 925 


9 


5, 779, 415 


10 ........ 


5, 988, 829 


11 


3, 883, 775 









In the foregoing tabulation the arrests for violations of road and 
driving laws, parking violations, and other traffic and motor vehicle 
laws, except driving while intoxicated, are grouped under one classi- 
fication. However, 1,282 of the cities reported detailed figures for 
each of the three traffic violation categories and their figures are 
summarized in table 18. 



59 



Table 18. — Persojis charged (held for prosecution), traffic violations, except driving 
while intoxicated, 1945; number and rate per 100,000 inhabitants, by population 
groups 

[Population figures from 1940 decennial census] 





Total, 
1,282 cit- 
ies; total 
popula- 
tion 
41,473,872 


Group I 


Group II 


Group III 


Group IV 


Group V 


Group VI 


Offense charged 


27 cities 
over 

250,000; 

popula- 
tion 

16,070,260 


38 cities, 
100,000 to 
250,000; 
popula- 
tion 
5,358,778 


80 cities, 
50,000 to 
100,000; 
popula- 
tion 
5,521,729 


154 cities, 
25,000 to 
50,000; 
popula- 
tion 
5,396,210 


368 cities, 
10,000 to 

25,000; 

popula- 
tion 
5,638,330 


615 cities 
under 
10.000; 

popula- 
tion 

3,488,565 


Road and driving laws: 

Number of persons charged. 
Rate per 100,000 


1, 162, 792 
2, 779. 6 

3, 416, 364 

8, 237. 4 

280, 892 
677.3 


709, 091 
4,412.4 

1, 430, 261 
8, 900. 

150, 962 
939.4 


132, 246 
2,467.8 

719, 730 
13, 430. 9 

28, 191 
526.1 


103. 297 
1, 870. 7 

514, 966 
9, 326. 2 

37, 768 
684.0 


77, 618 
1, 438. 4 

345, 974 
6,411.4 

20, 600 
381.7 


76, 026 
1, 348. 4 

285, 799 
5,068.9 

25, 059 
444.4 


54, 514 
1 562 6 


Parking violations: 

Number of persons charged- 
Rate per 100,000 .. 


119,634 
3, 429. 3 

18, 312 
524.9 


Other traffic and motor vehicle 
laws: 
Number of persons charged - 
Rate per 100,000 


• 





Offenses Known, Offenses Cleared by Arrest, and Persons Found Guilty, 
1945 

Of every 1,000 major crimes committed last year, 289 were cleared 
by the arrest of 193 persons of whom 145 were found guilty according 
to the reports of 162 cities with population in excess of 25,000. The 
proportion of persons found guilty in court in relation to each 1,000 
offenses reported to the police ranged from 120 for larceny to 503 for 
murder. As indicated in tables 19 and 20 over 80 percent of the per- 
sons charged by the police were found guilty. The figures for individ- 
ual offense classes are quite similar to those for 1944 although some 
changes were observed. For example, the proportion of persons 
found guilty who were arrested for gambling and robbery increased 
noticeably while decreases were noted in the percentage found guilty 
among those charged with manslaughter by negligence, forgery and 
counterfeiting, embezzlement and fraud, receiving stolen property, 
sex offenses, and liquor law violations. In 1945 the perceutage of 
persons charged found guilty ranged from 40.0 percent for manslaugh- 
ter to 89.0 for driving while intoxicated. 

Since the annual returns do not provide for the listing of data re- 
lating to offenses known to the police for the part II crimes tabulations 
concerning persons found guilty for the part I and part II offense 
classes are presented separately in tables 19 and 20. In preparing the 
summaries only those reports were used wherein it appeared the entries 
for persons found guilty represented the final disposition of the charges 
placed against persons arrested, as distinguished from disposition at 
some preliminary judicial stage. 

The offense classes in table 20 are not identical with those in table 
17 because some of the reports used in preparing the compilations as 
to persons found guilty did not include separate figures for the offense 
classes consolidated in table 20. . 



60 




61 



Table 19. — Offenses known, off'enses cleared by arrest, and number of persons found 
guilty, 1945; 162 cities over 25,000 in population 

[Total population, 17,313,024, based on 1940 decennial censusl 



Offense (part I classes) 


Number 
of of- 
fenses 
known 
to the 
police 


Number 
of of- 
fenses 
cleared 

by arrest 


Number 
of persons 
charged 
(held for 
prosecu- 
tion) 


Number 
found 
guilty 

of 
offense 
charged 


Number 
found 
guilty 

of 
lesser 
offense 


Total 
found 
guilty (of 
offense 
charged 
or lesser 
offense) 


Percent- 
age 
found 
guilty 


Total 


299, 083 


86, 294 


57, 782 


37, 738 


6,701 


43, 439 


75.2 


Criminal homicide: 

(a) Murder and nonnegli- 

gent manslaughter __ . 

(b) Manslaughter by neg- 

ligence .. . 


970 

754 

2,526 

13, 595 

12, 200 

66,753 

161, 476 
40, 809 


820 

604 

1,822 

4,909 

9,146 

21,296 

36, 831 
10, 866 


781 

630 
1,403 
4,197 
7,623 
11,318 

24, 695 
7,135 


372 

187 

695 

2,679 

3,513 

7,317 

18, 209 
4,766 


116 

65 

218 

005 

1,478 

1,361 

1,201 
657 


488 

252 

913 

3,284 

4,991 

8,678 

19, 410 
5,423 


62.5 

40.0 
65.1 
78.2 
65.5 
76.7 

78.6 
76.0 


Rape 

Robbery 

Aggravated as'^ault 


Burglary— breaking or entering. 
Larceny— theft (except auto 
theft) %. 


Autotheft - -, . . . 





Table 20. — Number of persons charged {held for prosecution) and number found 
guilty, 1945; 162 cities over 25,000 in population 

[Total population, 17,313,024, based on 1940 decennial censusl 



Offense (part II classes) 



Total 

Other assaults 

Forgery and counterfeiting 

Embezzlement and fraud 

Stolen property; buying, receiving, etc 

Weapons; carrying, possessing, etc 

Sex offenses (including prostitution and com^ 

mercialized vice) 

Offenses against the family and children 

Narcotic drug laws . 

Liquor laws 

Drunkenness; disorderly conduct and va 

grancy 

Gambling 

Driving while intoxicated 

Traffic and motor vehicle laws 

All other offenses 



Number of 
persons 

'charged 
(held for 
prosecu- 
tion) 



1 2, 335, 928 



26,832 
1, 252 
2,855 
1,464 
4,612 

20, 699 

12, 221 

808 

6,732 

369, 772 

28, 628 

13, 104 

1 1, 790, 941 

56, 008 



Number 
found 

guilty of 
offense 

charged 



11, 



15, 325 
867 

1,472 
764 

3,476 

14, 845 

6,475 

630 

5,547 

290, 224 

21, 453 

10, 186 

1 1, 484, 665 

36. 910 



Number 
found 

guilty of 
lesser 
offense 



1 14. 201 



67 
187 

34 
215 

273 

171 

6 

46 

2,278 

416 

1,481 

7,558 

700 



Total found 

guilty (of 

offense 

charged or 
of lesser 
offense) 



1, 907, 040 



16, 094 
934 

1,659 
798 

3,691 

15, 118 

6,646 

636 



292, 502 

21, 869 

11,667 

11,492,223 

37, 610 



Percent- 
age 
found 
guilty 



181.6 



60.0 
74.6 
58.1 
54.5 
80.0 

73.0 
54.4 
78.7 
83.1 

79.1 
76.4 
89.0 
183.3 
67.2 



1 The figures for traffic and motor vehicle laws are based on the reports of 161 cities with a total popula- 
tion of 15,689,572. 



62 




63 

Persons Released (Not Held for Prosecution), 1945 

The figures for persons released represent those taken into custody 
when it was thought they had been involved in the commission of 
some crime but who were later released by the police either because 
the investigation estabhshed their innocence or because the evidence 
available was not sufficient to warrant the filing of formal charges 
against them. Persons taken into custody and released with a repri- 
mand or on the ''golden rule" principle are likewise included, as are 
persons summoned, notified, or cited to appear in court or at the 
police department for alleged traffic violations who fail to appear and 
are not subsequently arrested. Included also are some instances in 
which youthful persons are released because under the circumstances 
it was felt the individual case would be handled more properly with- 
out prosecution. 

The available data concernmg persons released by the police are 
presented in tables 21 and 22. The figures showing the number of 
persons released and the rate per 100,000 inhabitants in table 21 are 
based on the annual reports of 823 cities representing a total popula- 
tion of 24,892,370. In table 21 all types of violations of traffic laws, 
with the exception of driving while intoxicated, are included opposite 
''traffic and motor vehicle laws"; however, 550 of these cities reported 
detailed information as to persons released by the police for (1) viola- 
tions of road and driving laws, (2) parking violations, and (3) viola- 
tions of other traffic and motor vehicle laws. Table 22 includes the 
number of persons released for these violations together with the rate 
per 100,000 inhabitants. Warning tags used in some cities for minor 
traffic violations are included. 

The number of cities represented in tables 21 and 22 are considerably 
less than in table 17 since reports were excluded from the following 
two tables if there were no entries showing persons released or if the 
entries appeared incomplete or incorrect. 



64 



Table 21. — Persons released without being held for -prosecution, 1945; number 

and rate per 100,000 inhabitants, by population groups 

[Population figures from 1940 decennial census] 



Offense charged 



Criminal homicide: 

(a) Murder and nonnegli- 

gent manslaughter: 
Number of persons 

released 

Rate per 100,000..- 

(b) Manslaughter by neg- 

• ligence: 
Number of persons 

released 

Rate per 100,000... 
Robbery: 

Number of persons released. 

Rate per 100,000 

Aggravated assault: 

Number of persons released- 

Rate per 100,000 

Other assaults: 

Number of persons released. 

Rate per 100,000 

Burglary — breaking or enter- 
ing: 

Number of persons released. 

Rate per 100,000 

Larceny— theft: 

Number of persons released. 

Rate per 100,000 

Auto theft: 

Number of persons released. 

Rate per 100,000 

Embezzlement and fraud: 

Number of persons released. 

Rate per 100,000 

Stolen property; buying, re- 
ceiving, possessing: 

Number of persons released. 

Rate per 100,000 

Forgery and counterfeiting: 

Number of persons released. 

Rate per 100,000 

Rape: 

Number of persons released. 

Rate per 100,000 

Prostitution and commercial- 
ized vice: 

Number of persons released. 

Rate per 100,000 

Sex offenses (except rape and 
prostitution) : 

Number of persons released. 

Rate per 100,000 

Narcotic drug laws: 

Number of persons released. 

Rate per 100,000 

Weapons; carrying, possessing, 
etc.: 

Number of persons released. 

Rate per 100,000 

Offenses against family and 
children: 

Number of persons released _ 

Rate per 100,000 

Liquor laws: 

Number of persons released. 

Rate per 100,000 

Driving while intoxicated: 

Number of persons released 

Rate per 100,000 

Traffic and motor vehicle laws: 

Number of persons released. 

Rate per 100,000 

See footnotes at end of table. 



Total, 823 
cities; 
total 
popula- 
tion 
24,892,370 



Group I 



19 cities 
over 

250,000; 

popula- 
tion 

9,441,173 



212 
0.85 


128 
1.36 


317 
1.27 


133 
1.41 


1,456 
5.8 


646 
6.8 


1,694 
6.8 


934 
9.9 


4,542 
18.2 


2,550 
27.0 


4,249 
17.1 


1,119 
11.9 


9,753 
39.2 


3.264 
34.6 


2,521 
10.1 


730 

7.7 


527 
2.1 


261 
2.8 


422 
1.7 


183 
1.9 


357 
1.4 


82 
0.9 


502 
2.02 


212 
2.25 


7.260 
29.2 


6,786 
71.9 


1,521 
6.1 


297 
3.1 


120 
0.48 


32 
0.34 


852 
3.4 


443 
4.7 


1 1, 522 
6.3 


2 114 

1.3 


797 
8.2 


417 
4.4 


645 
2.6 


65 
0.7 


3 317, 062 
1,372.3 


4 65, 204 1 
834.1 I 



Group II 



17 cities, 
100,000 to 

250,000; 

popula- 
tion 
2,418,850 



Group III 



15 
0.62 



25 
1.03 



194 
8.0 



117 

4.8 



346 
14.3 



333 
13.8 



962 
39.8 



340 
14.1 



34 
1.4 



67 
2.77 



81 
3.3 



679 
28.1 



20 
0.83 



72 
3.0 



95 
3.9 



48 
2.0 



42 
1 .7 



49 cities, 
50,000 to 
100,000; 
popula- 
tion 
3,418,767 



Group IV 



100 cities, 
25,000 to 
50,000; 
popula- 
tion 
3,445,372 



33 
0.97 



1.87 



177 
5.2 



107 
3.1 



333 
9.7 



353 
10.3 



1,182 
34.6 



257 
7.5 



38 
1.1 



41 
1.2 



36 
1.05 



31 
0.9 



146 
4.3 



13 
0.38 



74 
2.2 



1.4 



32 
0.9 



85 
2.5 



« 48, 841 
2,166.3 



54,533 
1,595.1 



4 
0.12 



1.34 
134 



284 
8.2 



432 
12.5 



710 
20.6 



1,381 
40.1 



444 
12.9 



2.5 



42 
1.2 



45 



43 
1.25 



85 
2.5 



170 
4.9 



19 
0.55 



2.0 



17.7 



73 
2.1 



118 
3.4 



Group V 



256 cities, 
10,000 to 
25,000; 
popula- 
tion 
3,980,617 



25 
0.63 



44 
1.11 



545 
13.7 



1,025 
25.7 



1,704 
42.8 



416 
10.5 



1.7 



39 
1.0 



87 
2.2 



97 
2.44 



209 
5.3 



131 
3.3 



10 
0.25 



132 
3.3 



379 
9.5 



147 
3.7 



170 
4.3 



61,650 ! 59,137 
1,789.4 I l,48.'=i.6 



27, 697 
1.266.1 



65 

Table 21. — Persons released without being held for prosecution, 1945; number 
and rate per 100,000 inhabitants, by population groups — Continued 







Group I 


Group II 


Group III 


Group IV 


Group V 


Group VI 


Offense charged 


cities; 
total 

popula- 
tion 

24,892,370 


19 cities 
over 

250,000; 

popula- 
tion 

9,441,173 


17 cities, 
100,000 to 

250,000; 

popula- 
tion 
2,418,850 


49 cities, 
50,000 to 

100,000; 

popula- 
tion 
3,418,767 


100 cities, 
25,000 to 
50,000; 
popula- 
tion 
3,445,372 


256 cities, 
10,000 to 
25,000; 
popula- 
tion 
3,980,617 


382 cities 
under 
10,000; 
popula- 
tion 
2,187,591 


Disorderly conduct: 

Number of persons released . 
Rate per 100,000 


10,440 
41.9 

76,065 
305.6 

6,127 
24.6 

6,000 
20.1 

87,451 
361.3 

26, 030 
104.6 


3,215 
34.1 

42, 604 
451.3 

2,102 
22.3 

4,350 
46.1 

44,274 
468.9 

11,219 
118.8 


433 
17.9 

10, 974 
453.7 

749 
31.0 

43 
1.8 

8,443 
349.1 

2,995 
123.8 


1,373 
40.2 

5,917 
173.1 

549 
16.1 

147 
4.3 

12, 160 
355.7 

1,311 
38.3 


1,139 
33.1 

4,594 
133.3 

775 
22.5 

169 
4.9 

8,960 
260.1 

3,240 
94.0 


2,370 
59.5 

5,776 
145.1 

825 
20.7 

174 
4.4 

8,531 
214.3 

3,377 

84.8 


1,910 

87.3 


Drunkenness: 

Number of persons released . 
Rate per 100,000 


6,200 
283.4 


Vagrancy: 

Number of persons released . 
Rate per 100,000 


1,127 
51.5 


Gambling: 

Number of persons released. 
Rate per 100,000 


■ 117 
5.3 


Suspicion: ' 

Number of persons released. 
Rate per 100,000 


5,083 
232.4 


All other offenses: 

Number of persons released. 
Rate per 100,000 


3,888 
177.7 







i-». The number of persons released and the rate are based on the reports from the number of cities 
indicated below: 



Footnote 


Cities 


Population 


1 


821 
17 

821 
18 
16 


24, 330, 053 


2 


8, 878, 856 


3 


23, 104, 647 


4 


7, 817, 721 


5 . 


2, 254, 579 







Table 22. — Persons released without being held for prosecution, traffic violations, 
except driving while intoxicated, 1945; number and rate per 100,000 inhabitants, 
by population groups 

[Population figures from 1940 decennial census] 





Total, 550 
cities; to- 
tal popu- 
lation 
15,110,038 


Group I 


Group II 


Group III 


Group IV 


Group V 


Group VI 


Offense charged 


12 cities 
over 

250,000; 

popula- 
tion 

4,879,336 


9 cities, 
100,000 to 

250,000; 

popula- 
tion 
1, 174, 662 


39 cities, 
50,000 to 

100,000; 

popula- 
tion 
2, 738, 479 


65 cities, 
25,000 to 

50,000; 

popula- 
tion 
2, 263, 269 


168 cities, 
10,000 to 

25,000; 

popula- 
tion 
2, 560, 044 


257 cities 
under 
10,000; 
popula- 
tion 

1,494,248 


Road and driving laws: 

Number of persons released. 
Rate per 100,000 


22. 368 
148.0 

255,912 
1, 693 .7 

16, 447 
108.8 


5,039 
103.3 

54,541 
1,117.8 

5,623 
115.2 


1,426 
121.4 

29, 782 
2,535.4 

2,491 
212.1 


3,593 
131.2 

49, 362 
1,802.5 

1,576 
67.6 


5,674 
250.7 

47, 581 
2,102.3 

2,205 
97.4 


2,508 
98.0 

53, 608 
2,094.0 

2,160 
84.4 


4,128 
276.3 


Parking violations: 

Number of persons released. 
Rate per 100,000 


21,038 
1, 407 .9 


Other traffic and motor vehicle 
laws: 
Number of persons released . 
Rate per 100,000 


2,392 
160.1 







66 

Offenses Known, Offenses Cleared by Arrest, and Persons Charged by 
Geographic Divisions, 1945 

The data concerning offenses cleared and persons charged in tables 
16 and 17 are presented in tables 23 and 24 with the cities represented 
grouped by geographic division in order to make possible the com- 
parisons of local figures with the average for other cities in the same 
section of the country. For a list of the States included in each of 
the nine geographic divisions reference may be made to table 4 of this 
issue of the bulletin. 

Since marked variations are regularly seen in the number of of- 
fenses committed per 100,000 population in the different sections of 
the country, it normally follows that somewhat similar variations 
may be expected in the number of persons arrested in the several 
geographic divisions. 

In examining the data presented in table 24 it should be remembered 
that the figures for prostitution and commercialized vice may be 
considered conservative, for in many jurisdictions persons taken into 
custody for such violations are frequently charged with other sex 
offenses (such as adultery, fornication, lewd and lascivious conduct), 
vagrancy, or disorderly conduct, and such arrests therefore are listed 
opposite those offense classes. Similarly persons arrested for in- 
toxication may be charged with disorderly conduct; persons arrested 
for felonious assaults may be charged with a misdemeanor assault; 
and persons arrested for auto theft may be charged with the use of an 
automobile without the owner's consent. 

The tabulations, in other words, may be influenced by the local 
policy as to what offense is charged. Theoretically, an offender 
should be charged with the offense committed, but in many instances 
the charge placed against the offender by the police is dependent 
upon the policy and practice of other officials, such as the prosecuting 
attorneys and judges. These local practices are, of course, materially 
affected by public opinion and established customs in the community. 



67 



Table 23. — Number of offenses known, number and percentage of offenses cleared by 
arrest, 1945, by geographic divisions 

[Population figures from 1940 decennial census] 





Criminal homi- 
cide 








Bur- 






















Geographic division 


Mur- 
der, 
nonneg- 
ligent 
man- 
slaugh- 
ter 


Man- 
slaugh- 
ter by 
negli- 
gence 


Rape 


Rob- 
bery 


Aggra- 
vated 
assault 


glary— 
break- 
ing or 
enter- 
ing 


Lar- 
ceny- 
theft 


Auto 
theft 


New England States 


















138 cities; total population 5,065,191: 

Number of offenses known 

Number cleared by atrest 

Percentage cleared by arrest 


61 

56 

91.8 


174 

141 

81.0 


395 

354 

89.6 


861 
375 
43.6 


688 
603 

87.6 


13. 767 

4,702 

34.2 


26, 639 

7.499 

28.2 


8,802 
4,303 
48.9 


Middle Atlantic States 


















350 cities; total population 9,672,170: 

Number of offenses known 

Number cleared by arrest 

Percentage cleared by arrest 


240 

187 
77.9 


381 

359 

94.2 


699 

589 

84.3 


2,371 
1,016 
42.9 


2.982 
2.351 

78.8 


20. 574 
7,005 
34.0 


38, 132 

10,248 

26.9 


14, 528 

3,321 

22.9 


East North Central States 


















367 cities; total population 14,831,559: 

Number of offenses known 

Number cleared by arrest 

Percentage cleared by arrest 


711 

586 

82.4 


427 
303 
71.0 


1,884 
1,317 
69.9 


10, 651 

3,851 

36.2 


7,647 
5,185 
67.8 


52.359 

17, 534 

33.5 


128, 739 

28,072 

21.8 


28, 594 

8,246 

28.8 


West North Central States 


















153 cities; total population 4,370,566: 

Number of offenses known 

Number cleared by arrest 

Percentage cleared by arrest 


152 

139 

91.4 


132 

135 

102.3 


446 

358 

80.3 


1,432 
604 
42.2 


1.463 
1.252 

85.6 


10,931 

3.343 

30.6 


30, 913 

7,222 

23.4 


8,273 
2,519 
30.4 


SoiUh Atlantic States 


















106 cities; total population 3,822,147: 

Number of offenses known 

Number cleared by arrest 

Percentage cleared by arrest 


591 

547 

92.6 


202 

173 

85.6 


536 

459 

85.6 


2.410 
1,159 

48.1 


7.775 
6.512 

83.8 


16, 392 
5.305 
32.4 


42. 899 

12. 526 

29.2 


12. 198 
2,496 
20.5 


East South Central States 


















32 cities; total population 1,136,253: 

Number of offenses known . . 

Number cleared by arrest - - 

Percentage cleared by arrest 


174 

160 

92.0 


83 

74 

89.2 


135 

95 

70.4 


948 

334 

35.2 


1,284 

892 

69.5 


6.448 
1,491 
23.1 


11,445 
2,797 
24.4 


3,500 
977 
27.9 


West South Central States 


















72 cities; total population 3,187,791: 

Number of offenses known 

Number cleared by arrest 

Percentage cleared by arrest 


423 

377 

89.1 


181 

150 

82.9 


335 

305 

91.0 


1,666 

772 

46.3 


2,931 
2,506 
85.5 


15, 253 
5.407 
35.4 


42. 368 

11.222 

26.5 


10, 829 
3,194 
29.5 


Mountain States 


















56 cities; total population 1,194,420: 

Number of offenses known 

Number cleared by arrest 

Percentage cleared by arrest 


51 

48 

94.1 


63 

45 

71.4 


248 
136 

54.8 


758 

323 

42.6 


494 
384 

77.7 


6,493 
1,864 
28.7 


18, 536 
4,087 
22.0 


3,856 
1,307 
33.9 


Pacific States 


















148 cities; total population 3,754,841: 

Niunber of offenses known 

Number cleared by arrest 

Percentage cleared by arrest 


219 

179 

81.7 


372 
286 
76.9 


910 

525 

57.7 


5,105 
1,041 
20.4 


2,694 
1,630 
60.5 


21, 791 

4,672 

21.4 


69, 833 

9,878 
14.1 


23,856 

3,902 

16.4 



68 



Table 24. — Persons charged (held for prosecution), 1945, number and rate per 
100,000 inhabitants, by geographic divisions 





[Population figures from 1940 decennial census] 










s§ 


i§ 


O) 


u 


2| 


!.§■ 


g§ 


m 


iz 




•J 

^3 


II 


m9 


m 


S3 






■sS 


n 




^ 0. 


% a 


— a 


':3 ^ 


"S o< 


^ a 


':3 0, 


^-^ 


nj~ 




la 


sa 


sa 


^a 


■2 2 


la 


03 

i^a 


•r« S 


§n 


Offense charged 


So 
.2g 


.2 

II 


51 

II! 


g-s 

^00 




§3 




g.2 
IS 


.2 
St 




Qi'So 




^j t^ ^ 


1^-- 


|-s?^- 


I??::- 


^^2 


§1 


15 




7^ 


s 


w 


^ 


m 


w 


^ 


% 


^ 


Criminal homicide: 




















(a) Murder and non- 




















negligent man- 




















slaughter: 




















Number of 




















persons 




















charged 


60 


196 


587 


134 


585 


176 


345 


44 


180 


Rate per 




















100,000 


1.18 


2.03 


3.96 


3.07 


15.31 


15.49 


10.82 


3.68 


4.79 


(b) Manslaughter by 




















negligence: 




















Number of 




















persons 




















charged 


174 


515 


400 


86 


358 


106 


99 


52 


183 


Rate per 




















100,000 


3.44 


5.32 


2.70 


1.97 


9.37 


9.33 


3.11 


4.35 


4.87 


Robbery: 




















Number of persons 




















charged 


532 
10.5 


1,506 
15.6 


3,193 
21.5 


494 
11.3 


1,564 
40.9 


688 
60.5 


808 
25.3 


308 
25.8 


1,125 


Rate perl00,000 


30.0 


Aggravated assault: 




















Number of persons 




















charged 


700 


2,695 


4,173 


611 


6,594 


1,699 


2,553 


337 


1, 255 


Rate perl00,000 


13.8 


27.9 


28.1 


14.0 


172.5 


149.5 


80.1 


28.2 


33.4 


Other assaults: 




















Number of persons 




















charged 


5,738 


14, 609 


15,909 


2,399 


20,816 


3,374 


6,277 


917 


4,543 


Rate perl00,000 


113.3 


151.0 


107.3 


54.9 


544.6 


296.9 


196.9 


76.8 


121.0 


Burglary — breaking or 




















entering: 




















Number of persons 




















charged 


3,969 


6,859 


8,542 


2,021 


5,186 


1,930 


3,376 


1,342 


3,154 


Rate perl00,b()b 


78.4 


70.9 


57.6 


46.2 


135.7 


169.9 


105.9 


112.4 


84.0 


Larceny— theft: 




















Number of persons 




















charged 


6,262 


9,769 


18, 330 


4,994 


12, 566 


3,667 


7,802 


4,010 


7,227 


Rate perl00,000 

Auto theft: 

Number of persons 


123.6 


101.0 


123.6 


114.3 


328.8 


322.7 


244.7 


335.7 


192.5 




















charged 


2,129 


3,740 


5,369 


1,567 


2,642 


962 


1,840 


915 


4,030 


Rate per 100,000 


42.0 


38.7 


36.2 


35.9 


99.1 


84.7 


57.7 


76.6 


107.3 


Embezzlement and fraud: 




















Number of persons 




















charged 


413 


744 


2,378 


523 


786 


521 


536 


176 


404 


Rate perlOO.OOO 


8.2 


7.7 


16.0 


12.0 


20.6 


45.9 


16.8 


14.7 


10.8 


Stolen property; buying, 




















receiving, possessing: 




















Number of persons 




















charged 


424 


614 


1,048 


219 


599 


331 


428 


109 


159 


Rate per 100,000 


8.4 


6.3 


7.1 


5.0 


15.7 


29.1 


13.4 


9.1 


4.2 


Forgery and counterfeit- 




















Number of persons 




















charged 


263 
6.2 


328 
3.4 


782 
5.3 


389 
8.9 


487 
12.7 


592 
52.1 


542 
17.0 


233 
19.5 


792 


Rate per 166,000 


21.1 


Rape: 




















Number of persons 




















charged 


395 


661 


1,006 


261 


458 


182 


319 


95 


439 


Rate per 100,000 


7.80 


6.83 


6.78 


5.97 


11.98 


16.02 


10.01 


7.95 


11.69 


Prostitution and com- 




















mercialized vice: 




















Number of persons 




















charged 


570 


1,233 


5,548 


1,263 


9,588 


918 


10, 668 


838 


3,691 


Rate per 100,000 


11.3 


12.7 


37.4 


28.9 


250.9 


80.8 


334.7 


70.2 


98.3 



69 



Table 24. 



-Persons charged (held for prosecution), 1945, number and rate per 
100,000 inhabitants, by geographic divisions — Continued 



Offense charged 



Sex offenses (except rape 
and prostitution) : 
Number of persons 

charged 

Rate per 100,000 

Narcotic drug laws: 

Number of persons 

charged 

Rate per 10(^,000 

Weapons; carrying, pos- 
sessing, etc.: 
Number of persons 

charged 

Rate per 100,000 

Offenses against family 
and children: 
Number of persons 

charged 

Rate per 100,000 

Liquor laws: 

Number of persons 

charged 

Rate per 100,000 

Driving while intoxi- 
cated: 
Number of persons 

charged 

Rate per 100,000 

Traffic and motor vehicle 
laws: 
Number of persons 

charged 

Rate per 100,000 

Disorderly conduct: 

Number of persons 

charged 

Rate per 100,000 

Drunkenness: 

Number of persons 

charged 

Rate per 100,000 

Vagrancy: 

Number of persons 

charged 

Rate per 100,000 

Gambling: 

Number of persons 

charged . 

Rate per 100,000 

All other offenses: 

Number of persons 

charged 

Rate per 100,000 



§.2 



B o 



SS 



< g 



4,185 
82. 



80 
1.58 



5,112 
100.9 



2,975 
58.7 



3 260,946 
5, 213. 5 



7,132 
140. 



77, 796 
1, 535, 



953 

18.8 



2,661 
52.5 



20, 617 
407.0 



1,781 
18.4 



174 



1,272 
13.2 



3,620 
37.4 



1,667 
17.2 



2 1, 763 
18.3 



CO "3 
eS o 

-is o< 

eSCO-H 






4,179 
28.2 



404 
2.72 



3,268 
22.0 



8,630 
58.2 



4,134 
27.9 



,846 
56.4 



1,194 
27.3 



502 
11.5 



659,118 « 1,287,09; 
6, 825. 5 9, 747. ( 



36, 605 
378.5 



56, 725 
689.9 



5,500 
56. 



7,165 
74.1 



23, 794 
246.0 



43, 256 
291 



151, 468 
1, 021. 3 



9,974 
67.2 



17, 497 
118.0 



43, 009 
290.0 



24. 



1,833 
41 



3,941 
90.2 



co-g 

=e o 



o "^^ 

CO 



396, 967 

9, 082. 7 



18, 129 
414.8 



53, 865 
1, 232. 4 



92. 



5,764 
131.9 



21, 627 



3,755 
98.2 



65 
1.70 



3,087 



5,386 
140.9 



6,313 
165.2 



8,320 
217.7 



CC!-' 



3 a; O 



•s^ 






ce ce 
^3 



is 

o2 



20 

1.76 



91.0 



359 
31.6 



2,178 
191.7 



2,838 
249.8 



1,48 
46. 



19.07 



1,812 
56 



1365 
12.6 



3,101 
97.3 



1, 
91.8 



52 
4.35 



507 
42.4 



293 

24.5 



458 
38.3 






o o 



2, 929 1, 821 
91. 9 152. 5 



6 503,978 
13, 227. 



73, 027 
1, 910. 6 



170, 511 
4, 461. 1 



8,819 
230. 



12, 622 
330.2 



42,441 



494. 8 



494.8 1,110.4 



68, 454 
5, 024. 5 



1, 484. 5 



49, 926 
4,393 



5,000 
440.0 



5,359 
471.6 



615.2 



7 624,913 
20,76 



23, 199 
727.7 



109, 107 
3, 422. 7 



14, 543 
456.2 



18, 910 
593.2 



24, 141 
757.3 



291, 706 
24, 422. 4 



10, 824 
906.2 



48, 833 
4, 088. 4 



5,164 
432. 3 



74. 



9,554 
799.9 



4,624 
123.1 



400 
10.65 



1,233 
32.8 



780 
20.8 



10, 399 
276.9 



1,323,625 
36, 615. 



18, 215 
485.1 



4, 971. 



20, 731 
552.1 



10, 290 
274.0 



17, 967 
478.5 



-8 Number of persons charged and the rate are based on the reports of the number of cities as follows: 





Footnote 


Cities 


Population 


Footnote 


Cities 


Population 


1 


71 
349 
136 
349 


2, 893, 057 
9, 656, 663 
5, 005, 185 
9, 656, 663 


5.. 
6.. 

7.. 
8-- 




365 
105 
71 
143 


13, 204, 217 
3,809,949 
3, 010, 129 
3,614,976 


2 




3 




4 









DATA COMPILED FROM FINGERPRINT RECORDS 

Source of Data 

During the first 6 months of 1946, the F B I examined 309,302 
arrest records, as evidenced by fingerprint cards, in order to obtain 
data concerning the age, sex, race, and previous criminal history of 
the persons represented. The compilation has been limited to in- 
stances of arrests for violations of state laws and municipal ordi- 
nances. In other words, fingerprint cards representing arrests for 
violations of Federal laws or representing commitments to any type 
of penal institution have been excluded from this tabulation. 

The number of fingerprint records examined exceeded the 270,739 
handled for the first 6 months of 1945 by 14.2 percent. The tabu- 
lation of data from fingerprint cards obviously does not include all 
persons arrested, since there are individuals taken into custody for 
whom no fingerprint cards are forwarded to Washington. Further- 
more, data pertaining to persons arrested should not be treated as 
information regarding the number of offenses committed, since two 
or more persons may be involved in the joint commission of a single 
offense, and on the other hand one person may be arrested and 
charged with the commission of several separate crimes. 
Offense Charged 

More than 41 percent (126,927) of the records examined during 
the first 6 months of 1946 represented arrests for major violations. 
Persons charged with murder, robbery, assault, burglary, larceny, or 
auto theft numbered 90,367, constituting 29.2 percent of the total 
arrest records examined. 
Sex 

Fingerprint cards representing arrests of males during the first 
half of 1946 numbered 276,621, which is a 21.9 percent increase over 
the 226,885 cards received during the same period of 1945. Female 
arrest prints decreased from 43,854 during the first half of 1945 to 
32,681 in the like period of 1946, representing a decrease of 25.5 
percent. 
Age 

During the first half of 1946, males and females under 21 years of 
age arrested and fingerprinted numbered 54,564, constituting 17.6 
percent of the total arrests. In addition, there were 53,841 (17.4 
percent) between the ages of 21 and 24, making a total of 108,405 
(35.0 percent) less than 25 years old. Arrests of persons 25 to 29 
years old numbered 49,446 (16.0 percent). The resultant total is 

(70) 



71 



Table 25. — Distribution of arrests by sex, January-June 1946 



Offense charged 



Total 

Criminal homicide 

Robbery 

Assault 

Burglary— breaking or entering 

Larceny— theft 

Auto theft 

Embezzlement and fraud 

Stolen property; buying, receiving, etc 

Arson 

Forgery and counterfeiting 

Rape 

Prostitution and commercialized vice_ 

Other sex offenses 

Narcotic drug laws 

Weapons; carrying, possessing, etc 

Offenses against family and children.. 

Liquor laws. _ , 

Driving while intoxicated 

Road and driving laws 

Parking violations 

Other traffic and motor vehicle laws. . 

Disorderly conduct 

Drunkenness... 

Vagrancy 

Gambling 

Suspicion 

Not stated 

All other offenses 





Number 






Percent 




Total 


Male 


Female 


Total 


Male 


Female 


309, 302 


276, 621 


32, 681 


100.0 


100.0 


100.0 


3.066 


2,761 


305 


1.0 


1.0 


0.9 


9,172 


8,739 


433 


3.0 


3.2 


1.3 


24, 038 


22,176 


1,862 


7.8 


8.1 


5.7 


17. 221 


16, 824 


397 


6.6 


6.1 


L2 


26, 327 


23, 064 


3,263 


8.5 


8.4 


10.0 


10. 543 


10,317 


226 


3.4 


3.7 


_ 7 


5,705 


5,146 


559 


1.8 


1.9 


1.7 


1,603 


1,447 


156 


.5 


.5 


.5 


340 


301 


39 


.1 


.1 


.1 


2,976 


2,551 


425 


LO 


.9 


1.3 


3 644 


3 644 




1 2 


1.3 




5,384 


2,035 


3,349 


1.7 


.7 


10.2 


7,716 


5,818 


1.898 


2.5 


2.1 


5.8 


1,321 


1,200 


121 


.4 


.4 


.4 


6,058 


5,843 


215 


2.0 


2.1 


.7 


6,717 


5,345 


372 


1.8 


1.9 


1.1 


3,461 


3,008 


453 


1.1 


1.1 


1.4 


14,913 


14, 375 


538 


4.8 


5.2 


1.6 


3,029 


2,973 


56 


1.0 


1.1 


.2 


33 


33 




0) 


(1) 


0) 


2,633 


2,552 


81 


.9 


.9 


.2 


20, 631 


17,960 


2,671 


6.7 


6.5 


8.2 


72, 205 


66, 465 


5,740 


23.3 


24.1 


17.6 


18, 744 


14, 796 


3,948 


6.1 


5.3 


12.1 


6,446 


6,035 


411 


2.1 


2.2 


1.3 


20, 283 


18, 258 


2,025 


6.6 


6.6 


6.2 


1,802 


1,487 


315 


.6 


.5 


1.0 


14, 291 


11,468 


2,823 


4.6 


4.1 


8.6 



1 Less than one-tenth of 1 percent. 

157,851 (51.0 percent) less than 30 years of age. It should be re- 
membered that the number of arrest records is doubtless incomplete 
in the lower age groups because of the practice of some jurisdictions 
not to fingerprint youthful offenders. 

Youths played a predominant part in the commission of crimes 
against property as indicated by the following figures: During the 
first half of 1946 there were 73,887 persons of all ages arrested for 
robbery, burglary, larceny, auto theft, embezzlement, fraud, forgery, 
counterfeiting, receiving stolen property, and arson, and 24,872 (33.7 
percent) of those persons were less than 21 years old. 

The extent of the participation of youths in the commission of 
crimes against property is further indicated by the following figures: 
During the first half of 1946, 35.0 percent of all persons arrested were 
less than 25 years of age. However, persons less than 25 years old 
numbered 55.6 percent of those charged with robbery, 62.2 percent 
of those charged with burglary, 47.0 percent of those charged with 
larceny, and 76.8 percent of those charged with auto theft. More 
than one-half (53.4) of all crhnes against property during the first 
half of 1946 were committed by persons under 25 years of age. Age 
21 predominated among the male arrests and age 22 among the females. 



72 



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73 



Table 27. 



-Number and percentage of arrests of persons under 25 years of age, 
January- June 1946 



Offense charged 



Total 
number 

of 
persons 
arrested 



Number 
mider 18 
years of 



Number 

under 21 

years of 

age 



Total 
number 
under 25 
years of 



Percent- 
age un- 
der 18 
years of 
age 



Percent- 
age un- 
der 21 

years of 



Total per- 
centage 

under 25 

years of 

age 



Total 

Criminal homicide 

Robbery 

Assault 

Burglary— breaking or entering 

Larceny— theft-. 

Auto theft 

Embezzlement and fraud 

Stolen property; buying, re- 
ceiving, etc 

Arson 

Forgery and counterfeiting 

Rape . 

Prostitution and commercial- 
ized vice 

Other sex offeftses 

Narcotic drug laws 

Weapons; carrying, possessing, 

etc 

Offenses against family and 

children 

Liquor laws 

Driving while intoxicated 

Road and driving laws 

Parking violations 

Other traffic and motor vehicle 

laws 

Disorderly conduct 

Drunkenness 

Vagrancy 

Gambling 

Suspicion 

Not stated 

All other offenses 



309, 302 



20, 180 



54, 564 



405 



6.5 



17.6 



35.0 



3,066 
9.172 
24. 038 
17, 221 
26. 327 
10. 543 
5.705 

1,603 

340 

2,976 

3,644 

5,384 
7,716 
1,321 



6,717 
3,461 
14. 913 
3.029 
33 

2.633 
20. 631 
72. 205 
18. 744 

6.446 
20. 283 

1,802 
14. 291 



116 

791 

614 

4,026 

3,275 

2,537 

130 

112 

31 

204 

320 

97 

225 

23 

406 

20 
60 
89 
119 
3 

109 

717 

543 

1,063 

76 

2,090 

65 

2.319 



374 
2,671 
2.651 



490 
545 
623 
563 

298 



700 

1,127 

178 

1,143 



291 
764 



460 
3,031 
3.564 
3,838 

261 
4,988 

250 
4.360 



875 
5,101 
6,898 
10, 706 
12, 385 
8,096 
1,390 

525 

121 

1,166 

1,813 

2,084 

2,709 

410 

2,383 



721 
3,173 
1,297 



1,075 
7,435 
12, 233 
7,469 
837 
9,085 
.560 
6,871 



3.8 
8.6 
2.6 
23.4 
12.4 
24.1 
2.3 

7.0 
9.1 
6.9 
8.8 

1.8 
2.9 
1.7 

6.7 

.3 
1.7 



4.1 
3.5 

.8 

5.7 

1.2 

10.3 



12.2 
29.1 
11.0 
43.5 
28.7 
53.3 
9.9 

18.6 
19.4 
20.7 
27.0 

13.0 
14.6 
13.5 



8.4 
5.1 
16.5 
15.2 

17.5 
14.7 

4.9 
20.5 

4.0 
24.6 
13.9 
30.5 



28.5 
55.6 
28.7 
62.2 
47.0 
76.8 
24.4 

32.8 
35.6 
39.2 



38.7 
35.1 
31.0 

39.3 

17.2 
20.8 
21.3 
42.8 
18.2 

40.8 
36.0 
16.9 
39.8 
13.0 
44.8 
3L1 
48.1 



Criminal Repeaters 

Of the 309,302 arrest records examined, 165,198 (53.4 percent) 
represented persons who already had fingerprint cards on file in the 
Identification Division of the FBI. For males the percentage 
having prior records was 55.6 and for females the percentage was 34.8. 
These figures pertain to fingerprint arrest records and in no way relate 
to the civil identification files of the FBI. 

For males and females combined, the percentage with a prior 
fingerprint record was 14.6 at age 15, and 39.2 at age 20. For males, 
the percentage was 15.4 at age 15 and 41.1 at age 20, while for fe- 
males, the percentage with prior fingerprint records was 7.9 at age 
15 and 27.9 at age 20. 



74 

Arrests Outside of State of Birth 

The 1940 decennial census indicates that 22.4 percent of the native 
population resided outside of their State of birth. A tabulation of 
similar information from the fingerprint records disclosed that 56.1 
percent of all the persons arrested and fingerprinted during the first 
half of 1946 were arrested outside of their State of birth. The 
figures for males and females were generally quite similar, for males 
56.4 percent and for females 53.4 percent. 
Race 

Most of the persons represented in this study were members of 
the white and Negro races. Including Mexicans, who numbered 
10,987, members of the white race represented 232,428 of the 309,302 
arrest records received, while 73,069 were Negroes, 2,811 were Indians, 
241 Chinese, 68 Japanese, and 685 were representatives of other races. 



OFFENSE CLASSIFICATIONS 

In order to indicate more clearly the types of offenses included in part I and 
part II offenses, there follows a brief definition of each classification: 

Part I Offenses 

1. Criminal homicide. — (a) Murder and nonnegligent manslaughter includes all 
wilful felonious homicides as distinguished from deaths caused by negligence. 
Does not include attempts to kill, assaults to kill, suicides, accidental deaths, or 
justifiable homicides. Justifiable homicides excluded from this classification are 
limited to the following types of cases: (1) The killing of a felon by a peace officer 
in line of duty; (2) The killing of a hold-up man by a private citizen. (6) Man- 
slaughter by negligence includes any death which the police investigation estab- 
lishes was primarily attributable to gross negligence on the part of some individual 
other than the victim. 

2. Rape, — Includes forcible rape, statutory rape (no force used — victim under 
age of consent), assault to rape, and attempted rape. 

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

4. Aggravated assault. — Includes assault with intent to kill; assault by shooting, 
cutting, stabbing, maiming, poisoning, scalding, or by the use of acids. Does not 
include simple assault, assault and battery, fighting, etc. 

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

6. Larceny — theft (except auto theft). — (a) Fifty dollars and over in value; 
(6) under $50 in value — includes in one of the above subclassifi cations, depending 
upon the value of the property stolen, thefts of bicycles, automobile accessories, 
shoplifting, pocket-picking, or any stealing of property or article of value which 
is not taken by force and violence or by fraud. Does not include embezzlement, 
"con" games, forgery, worthless checks, etc. 

7. Auto theft. — Includes all cases where a motor vehicle is stolen or driven away 
and abandoned, including the so-called joy-riding thefts. Does not include taking 
for temporary use when actually returned by the taker, or unauthorized use by 
those having lawful access to the vehicle. 

Part II Offenses 

8. Other assaults. — Includes all assaults and attempted assaults which are not 
of an aggravated nature and which do not belong in class 4. 

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

10. Embezzlement and fraud. — Includes all offenses of fraudulent conversion, 
embezzlement, and obtaining money or property by false pretenses. 

11. Stolen property; buying, receiving, possessing. — Includes buying, receiving, 
and possessing stolen property as well as attempts to commit any of those offenses. 

12. Weapons; carrying, possessing, etc. — Includes all violations of regulations 
or statutes controlling the carrying, using, possessing, furnishing, and manufac- 
turing of deadly weapons or silencers and all attempts to violate such statutes 
or regulations. 

(75) 



76 

13. Prostitution and commercialized vice. — Includes sex offenses of a commer- 
cialized nature, or attempts to commit the same, such as prostitution, keeping 
bawdy house, procuring, transporting, or detaining women for immoral purposes. 

14. Sex offenses (except rape and prostitution and commercialized vice). — In- 
cludes oflFenses against chastity, common aecency, morals, and the like. Includes 
attempts. 

15. Offenses against the family and children. — Includes offenses of nonsupport, 
neglect, desertion, or abuse of family and children. 

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

17. Liquor laws. — With the exception of ''drunkenness" (class 18) and ''driving 
while intoxicated" (class 22), liquor law violations, State or local, are placed in 
this class. Excludes Federal violations. 

18. Drunkenness. — Includes all offenses of drunkenness or intoxication. 

19. Disorderly conduct. — Includes all charges of committing a breach of the 
peace. 

20. Vagrancy. — Includes such offenses as vagabondage, begging, loitering, etc. 

21. Gambling. — Includes offenses of promoting, permitting, or engaging in 
gambling. 

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

23. Violation of road and driving laws. — Includes violations of regulations with 
respect to the proper handling of a motor vehicle to prevent accidents. 

24. Parking violations. — Includes violations of parking ordinances. 

25. Other violations of traffic and motor vehicle laws. — Includes violations of 
State laws and municipal ordinances with regard to traffic and motor vehicles 
not otherwise provided for in classes 22-24. 

26. All other offenses. — Includes all violations of State or local laws for which 
no provision has been made above in classes 1-25. 

27. Suspicion. — This classification includes all persons arrested as suspicious 
characters, but not in connection with any specific offense, who are released with- 
out formal charges being placed against them. 

o 



UNIFORM 

CRIME 
REPORTS 



FOR THE UNITED STATES 
AND ITS POSSESSIONS 




ISSUED BY THE 

FEDERAL BUREAU OF INVESTIGATION 

WASHINGTON, D. C 



Volume XVII Number 2 

ANNUAL BULLETIN • 1946 



UNIFORM 
CRIME REPORTS 

FOR THE UNITED STATES 
AND ITS POSSESSIONS 



Volume XVII— Number 2 
ANNUAL BULLETIN, 1946 



Issued by the 

Federal Bureau of Investigation 

United States Department of Justice 

Washington, D. C. 




ADVISORY 



[nternalional Association of Chiefs of Police 



UNITED STATES 

GOVERNMENT PRINTING OFFICE 

WASHINGTON : 1947 



^o S. SUPtRirfTENDENr Of i>0GUMOJr^. 



Contents 



Page 

Summary of volume XVII, No. 2 77-78 

Classification of offenses 78-79 

Extent of reporting area 79 

Monthly reports: 

Offenses known to the police — cities divided according to population 

(table 28) 80-81 

Annual trends, offenses known to the police (tables 29-30) 82-91 

Monthly variations, offenses known to the police (table 31) 92-95 

Offenses known to the police — cities divided according to location 

(tables 32-34) 95-98 

Offenses in individual cities over 25,000 in population (table 35) 99-106 

Data from supplementary offense reports (tables 36-38) 106-108 

Rural crime trends (table 39) 109-110 

Rural crime rates (table 40) 110-111 

Offenses known in Territories and possessions (table 41) 111 

Estimated number of major crimes (table 42) 112-114 

Data compiled from fingerprint cards, 1946: 

Sex distribution of persons arrested (table 43) 11 5-1 1 6 

Age distribution of persons arrested (tables 44-47) 116-123 

Percentage with previous fingerprint records (table 48) 123-124 

Race distribution of persons arrested (table 49) 123-124 

Definition of part I and part II offense classifications 125-126 

Index to volume XVII 127-128 

(II) 



UNIFORM CRIME REPORTS 

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



Volume XVII January 1947 Number 2 

SUMMARY 

Crime Trends, 1945-46 

Crime in 1946 continued its upward trend increasing 7.4 percent over 
1945 in the urban areas. In the individual offense classifications 
increases were as follows: Murder, 17.3 percent; robbery, 15.6 per- 
cent; aggravated assault, 11.4 percent; burglary, 11.3 percent; 
larceny, 8.6 percent; manslaughter by negligence, 6.4 percent; and 
rape, 4.5 percent. Auto thefts declined 4.9 percent. 

Crime in the rural areas was up 14.1 percent in 1946 and in each 
crime category the rural upswing exceeded that in the cities. Mur- 
ders and robberies in the rural areas showed increases of 28.3 percent 
and 26.3 percent, respectively. Other increases were: Rape, 17.8 
percent; negligent manslaughter, 16.1 percent; burglary, 15.3 percent; 
aggravated assault, 13.4 percent; larceny, 13.1 percent; and auto theft, 
10.3 percent. 

Crime Rates, 1946 

For the convenience of police administrators and others interested 
in the crime problem, the number of offenses per 100,000 inhabitants is 
presented in this bulletin for cities grouped according to size and by 
location. Crime rates for individual States are also shown. A tabu- 
lation is likewise presented showing crime rates for the rural areas. 
Value of Property Stolen, 1946 

According to supplementary crime reports received from the larger 
cities the average value of the loot taken in crimes against property 
dm-ing 1946 was as follows: Robbery, $160; burglary, $133; larceny, 
$59; and auto theft, $638. Ninety-four and seven-tenths percent 
of the stolen cars and 21.3 percent of other stolen property was 
recovered by. the police. 

Estimated Number of Major Crimes, 1946 

The year 1946 brought the estimated total of serious crime in the 
country to a new high for the past decade, 1,685,203. During the 
average day 36 persons were slain, 33 were raped, and 185 others 
feloniously assaulted. During each 24 hours on the average 172 

(77) 



78 

persons were robbed, 981 burglaries were reported to the police, 630 
cars were stolen, in addition to 2,580 miscellaneous larcenies of var- 
ious types being committed. 

Monthly Variations in Crime 

Following generally the seasonal crime pattern of prior years ag- 
gravated assaults and rapes occurred most frequently during the 
summer months, showing a tendency to decline in the colder weather, 
while murders were inclined to rise toward the end of the year. 
Robberies, burglaries, larcenies, and auto thefts showed the customary 
tendency to be least frequent during the summer months and most 
frequent during the winter. Negligent manslaughters, consisting 
mostly of traffic fatalities where gross negligence was present, were 
much more frequent during the winter months than during the warm 
season. 

Persons Arrested, 1946 

More persons were arrested during 1946 than during any year of 
the past decade, according to the 645,431 arrest records received at 
the FBI. Most of the arrests among the age groups were for age 
21, predominating for the first time since 1938, ages 17-19 predomi- 
nating in the interim. Arrests of boys under 21 increased only 1.6 
percent during 1946 and the year's figure for this age group was 5.8 
percent less than that for 1941. On the other hand, although arrests 
of girls under 21 declined 33.1 percent in 1946, the figure for the year 
still exceeded that for 1941 by 40 percent. 

Of the 645,431 arrest records examined during the year 54.2 percent 
represented persons who already had fingerprint arrest records on 
file in Washington and 56.4 percent were arrested outside of their 
State of birth. 

CLASSIFICATION OF OFFENSES 

The term ''offenses known to the police" is designed to include those 
crimes designated as part I classes of the uniform classification occur- 
ring within the police jurisdiction, whether they become known to the 
police through reports of police officers, of citizens, of prosecuting or 
court officials, or otherwise. They are confined to the following group 
of seven classes of grave offenses, shown by experience to be those most 
generally and completely reported to the police: Criminal homicide, 
including (a) murder, nonnegligent manslaughter, and (b) manslaugh- 
ter by negligence; rape; robbery; aggravated assault; burglary — break- 
ing or entering; larceny — theft; and auto theft. The figures contained 
herein include also the number of attempted crimes of the designated 
classes. In other words, an attempted burglary or robbery, for ex- 
ample, is reported in the bulletin in the same manner as if the crime 



79 

had been completed. Attempted murders, however, are reported as 
aggravated assaults, 

''Offenses known to the police" include, therefore, all of the above 
offenses, including attempts, which are reported by the law-enforce- 
ment agencies of contributing communities and not merely arrests or 
cleared cases. Offenses committed by juveniles are included in the 
same manner as those known to have been committed by adults, 
regardless of the prosecutive action. Complaints which upon inves- 
tigation are learned to be groundless are not included in the tabula- 
tions which follow. 

In publishing the data sent in by chiefs of police in different cities, 
the FBI does not vouch for their accuracy. They are given out as 
current information which may throw some light on problems of 
crime and criminal-law enforcement. 

In compiling the tables, returns which were apparently incomplete 
or otherwise defective were excluded. 

In the last section of this bulletin may be found brief definitions of 
part I and II offense classifications. 

EXTENT OF REPORTING AREA 

In the table which follows there is shown the number of police 
departments from which one or more crime reports were received 
during the calendar year 1946. Information is presented for the 
cities divided according to size, and the population figures employed 
are from the 1940 decennial census. 



, . , . ., .... 
Population group 


Total 
number 
of cities 
or towns 


Cities filing returns 


Total pop- 
ulation 


Population repre- 
sented in returns 




Number 


Percent 


Number 


Percent 


Total 


1,078 


1,045 


96.9 


62, 726, 936 


62, 286, 585 


99 3 






1. Cities over 250,000 


37 

55 

107 

213 

666 


37 

55 

107 

213 

633 


100.0 
100.0 
100.0 
100. 
95.0 


30, 195, 339 
7, 792, 650 
7, 343, 917 
7.417,093 
9, 977, 937 


30, 195, 339 
7, 792, 650 
7, 343, 917 
7, 417, 093 
9, 537, 586 


100.0 


2. Cities 100,000 to 250,000 


100 


3. Cities 50,000 to 100,000 

4. Cities 25,000 to 50,000- 


100.0 
100 


5. Cities 10,000 to 25,000 


95 6 







Note.— The above table does not include 2,123 cities, villages, and rural townships aggregating a total 
population of 10,612,985. The cities and villages included in this figure are those of less than 10,000 popula- 
tion filing returns, whereas the rural townships are of varying population groups. 



In addition to the 3,168 city and village police departments which 
forwarded crime reports during 1946, one or more reports were 
received during the year from 2,319 sheriffs and State police organiza- 
tions and from 12 agencies in Territories and possessions of the 
United States, making a grand total of 5,499 agencies contributing 
crime reports to the FBI during 1946. 



MONTHLY REPORTS 



OJfenses Known to the Police—Cities Divided According to Population 

The criminal element of our population is more active or more 
concentrated in the large population centers. This general observa- 
tion has been apparent during past years and is again evident from 
the figures for 1946. Cities with 100,000 or more inhabitants generally 
had higher rates for all types of crimes than their smaller neighbors 
except for aggravated assault and larceny. 

Assaults with intent to kill occurred with greatest frequency in 
cities with 50,000 to 100,000 inhabitants while the larceny crime rate 
in cities with over 250,000 inhabitants was less than these offenses per 
unit of population in cities from 25,000 to 100,000. It is interesting 
to note that this pattern has been identical during the past five years 
(1942-46). 

The group representing the smallest cities (2,500-10,000) had a 
higher crime rate for rapes than all cities except those over 100,000 
in population. Otherwise, the crime rates for the smallest cities were 
lowest. 

A combined population of 67,262,382 is represented by the 2,262 
cities reporting the number of offenses known to the police as shown 
in table 28. The rate per 100,000 inhabitants for cities grouped by 
population is also presented. Police administrators and others may 
utilize these data to compare the crime experience in a local com- 
munity with that indicated by the national averages and with that 
of all cities within a particular population group. 

The following figures show the percentage distribution of the crimes 
reported for 1946: 



Offense 



Total 

Larceny... 
Burglary.. 
Autotheft. 



Rate per 
100.000 



1,751.3 



968.2 
399.6 
229.9 



Percent 



100.0 



55.3 
22.8 
13.1 



Offense 



Assault 

Robbery 

Rape 

Murder...:... 
Manslaughter 



Rate per 
100.000 



67.5 

62.8 

12.1 

6.5 

4.7 



Percent 



3.8 
3.6 

.7 
.4 



Crimes of violence constituted slight^ less than 9 percent of the 
total but the significance of the figure is staggering when it is observed 
that 103,313 persons in these cities were slain, robbed, raped, or other- 
wise feloniously assaulted. 

(80) 



81 

Table 28.- — Offenses known to the police, 1946; number and rate -per 100,000 
inhabitants, by population groups 

[Population figures from 1940 decennial census] 



Population group 



TOTAL. GROUPS I-Vl 

2,262 cities: total population, 
67,262,382: 

Number of offenses known 

Rate per 100,000 



GROUP I 

5 cities over 250,000; total popula- 
tion, 29,894,166: 

Number of offenses known 

Rate per 100,000 



GROUP II 

54 cities, 100,000 to 250,000; 
population, 7,598,956: 
Number of oflenses known. 
Rate per 100,000 



total 



GROUP ni 

105 cities, 50,000 to 100,000; total 
population, 7,225,754: 

Number of offenses known 

Rate per 100,000 



GROUP IV 

210 cities, 25.000 to 50,000; total 
population, 7,298,914: 

Number of offenses known 

Rate per 100,000 



558 cities, 10,000 to 25,000; total 
population, 8,438,189: 

Number of offenses known 

Rate per 100,000 



GROUP VI 

1,299 cities under 10,000; total popu- 
lation, 6,806,403: 

Number of offenses known 

Rate per 100,000 



Criminal 
homicide 



Mur- 
der, 
normeg- 
ligent 
man- 
slaugh- 
ter 



6.49 



2,291 
7.66 



612 
8.05 



431 



331 
4.53 



411 

i.87 



286 
4.20 



Man- 
slaugh- 
ter by 
negli- 
gence 



70 



1,713 
5.73 



444 

5.84 



291 
4.03 



319 
4.37 



222 
2.63 



173 
2.54 



Rape 



8,150 
12.12 



4,612 
15.43 



954 
12.55 



666 
).22 



569 
7.80 



701 
8.31 



648 
9.52 



Rob- 
bery 



42, 229 
62.8 



26, 164 
87.5 



5,676 
74.7 



3,595 
49.8 



2,517 
34.5 



2,487 
29.5 



1,790 
26.3 



Aggra- 
vated 
assault 



45, 410 
67.6 



22, 915 
76.7 



5,426 
71.4 



3,174 

85.4 



4,631 
63.4 



3,463 
41.0 



2,801 
41.2 



Bur- 
glary— 
break- 
ing or 
enter- 
ing 



231,301 
399.6 



93, 774 
457.3 



39, 091 
514.4 



29, 949 
414.5 



25, 975 
355.9 



25, 356 
300.5 



17, 156 
252.1 



Lar- 
ceny- 
theft 



202,527 
987.6 



86, 605 
1, 139. 7 



76, 818 
1, 063. 1 



75, 938 
1, 040. 4 



75, 265 
892.0 



43, 188 
634.5 



1 The number of offenses and rates for burglary and larceny — theft are based on reports as follows; Groups 
I-VI, 2,260 cities, total population, 57,876,053; group I, 34 cities, total population, 20,507,837. 



82 



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83 

Annual Trends, Offenses Known to the Police in Urban Communities 

Crime rose 7.4 percent in 1946 with murders and robberies heading 
the hst showing jumps of 17.3 percent and 15.6 percent, respectively. 
Aggravated assaults increased 11.4. percent and burglaries, 11.3 per- 
cent with other increases as follows: Larceny, 8.6 percent; man- 
slaughter by negligence, 6.4 percent; and rape, 4.5 percent. The 
only decrease was 4.9 percent for auto theft. 

The total number of offenses increased in each of the nine geographic 
divisions and in all but five of the individual States. In each geo- 
graphic division increases were reported for murdei", robbery, ag- 
gravated assault, burglary, and larceny while negligent manslaughters 
showed increases in all but the New England and Pacific areas; rapes 
increased in all divisions except the South Atlantic, Mountain, and 
Pacific States, while auto thefts increased only in the Middle Atlantic, 
East South Central, and Mountain geographic divisions. 

Thougli not the most pronounced, the most widespread increase 
was in burglary and larceny during 1946 with increases registered in 
41 States for burglary and in 42 for larceny. Increases in robbery 
were reported in 39 States w^ith 6 showing decreases and 3 reflecting 
no change from 1945. Aggravated assaults rose in 35 States, de- 
clined in 12, and showed no change in 1. Offenses of rape increased 
in 30 States and declined in 18. Murders showed increases in 34 
States, decreases in 10, and no change in 4, while negligent man- 
slaughters rose in 25 States, declined in 18, and remained unchanged 
in 5. Auto thefts, on the other hand, increased in only 23 States 
and showed decreases in 25. 

Considering only the size of the city, the figures reflect an increase 
in crime in each population group. Excluding auto thefts, crimes in 
each category increased in cities of all sizes except that negligent 
manslaughters declined in the 50,000 to 250,000 population groups 
accompanied by declines for rapes and aggravated assaults in cities 
with population from 100,000 to 250,000. Auto thefts increased only 
in the cities under 10,000 in population. 

A review of the crime record during the war years clearly indicates 
the significant effects our participation in the world conflict had on 
the homefront crime picture. 

The theft of automobiles which was on the increase during 1940 
and 1941 dropped noticeably in 1942, but thereafter despite gasoline 
rationing and the shortage of cars the number of such offenses rose 
sharply to a peak in 1945. In 1946 with automobiles back in pro- 
duction and gas rationing discontinued, auto thefts declined. It may 
be observed in connection with this peculiar combination of events 
that the majority of automobiles stolen are taken by persons of 20 
years of age and under. 

733223° — 47 2 



84 

Murders and aggravated assaults, which were generally on the up- 
swing from 1939 through 1942, fell off in 1943 and then showed 
increases during the next 3-year- period. The rise in these offenses 
was particularly sharp in 1946. 

Negligent manslaughters, consisting for the most part of traffic 
fatalities resulting from gross negligence, broke an upward trend in 
1942 and continued downward in their frequency during 1943. Since 
then, however, these offenses have steadily increased. The number 
of crimes of rape, which since 1931 have generally been on the increase,^ 
certainly showed no tendency to decline or level off during the war 
years. In fact the upward trend was accentuated if anything. 
Robberies, burglaries, and larcenies showed a general tendency to 
decline during the early years of the war but have increased notice- 
ably during the last two years. Robberies, which declined steadily 
during 1940-44, showed particularly sharp increases in 1945 and 1946. 

Crime trends covering the war years are graphically presented in 
figures 10 and 11, based on the monthly uniform crime reports re- 
ceived from 373 cities with more than 25,000 inhabitants, representing 
a combined population of 50,616,919. 

Comprehensive urban crime trend data for 1945-46 with the cities 
divided by population groups are presented in table 29, and for 
individual States, geographic divisions, and regions in table 30. 
These figures are based on monthly uniform crime reports received 
during 1945 and 1946 from 2,010 cities representing a combined 
population of 65,746,225. 

I Table 4, vol. XVI, No. 1, Uniform Crime Reports Bulletin. 



85 




86 



Table 29. — Annual trends, offenses known to the police, 1945-46, by population 

groups 



Population group 



Total 



Mur- 
der and 
nonneg- 
ligent 
man- 
slaugh- 
ter 



Man- 
slaugh- 
ter by 
negli- 
gence 



Rape 



Rob- 
bery 



Aggra- 
vated 
assault 



Bur- 

glary- 



mg or 
enter- 
ing 



Lar- 
ceny- 
theft 



Auto 
theft 



Total, 2,010 cities; popu- 
lation, 65,746,225: 

. 1945 

1946 : 

Percent change 

Group I, 36 cities; popu- 
lation, 29,894,166: 

1945 

1946 

Percent change 

Group II, 54 cities; popu- 
lation, 7,598,956: 

1945... 

1946 

Percent change 

Group III, 105 cities; pop- 
ulation, 7,225,754: 

1945 

1946... 

Percent change 

Group IV, 206 cities; pop- 
ulation, 7,130,431: 

1945 

1946-. 

Percent change 

Group V, 538 cities; popu- 
lation, 8,134,464: 

1945.- 

1946 

Percent change 

Group VI, 1,071 cities; 
population, 5,762,454: 

1945 

1946 

Percent change 



987, 209 
1, 059, 869 

+7.4 



430, 777 
454, 254 

+5.4 



149, 948 
161,651 

+7.8 



125, 406 

134. 886 

+7.6 



112,016 
123, 064 

+9.9 



110, 286 
118. 280 

+7.2 



58, 776 
67, 734 
+ 15.2 



3,627 
4,253 
+17.3 



1,933 
2,291 

+ 18.5 



538 

612 

+13.8 



418 

431 

+3.1 



282 

328 

+ 16.3 



257 
.377 

+46.7 



214 

+7.5 



2,919 
3,105 
+6.4 



1,578 
1,713 

+8.6 



4^16 
444 
-0.4 



315 
291 
-7.6 



285 

317 

+11.2 



182 

210 

+15.4 



113 

130 

+15.0 



7,620 
7,964 

+4.5 



4.366 
4,612 
+5.6 



994 
954 
-4.0 



624 

666 

+6.7 



534 

561 

+5.1 



648 

667 

+2.9 



454 

504 

+11.0 



36, 102 

41, 718 
+ 15.6 



39, 851 

44. 387 
+11.4 



213, 054 

237,216 

+11.3 



523, 719 

568, 696 

+8.6 



23, 148 
26, 164 
+13.0 



4.627 
5,676 
+22.7 



2,851 
3. .595 
+26. 1 



2, 145 

2,466 

+ 15.0 



2,050 
2,348 
+14.5 



1,281 

1,469 

+14.7 



19. 349 
22, 915 
+ 18.4 



5. 703 
5,426 
-4.9 



5, 707 
6,174 
+8.2 



4, 337 

4, .584 
+5.7 



2,733 
3,197 
+17.0 



2,022 
2,091 
+3.4 



95, 691 

103, 266 

+7.9 



34, 064 
39, 091 
+14.8 



27, 037 
29, 949 
+10.8 



22, 364 
25, 428 
+13.7 



21,341 
24, 342 
+14.1 



12, 557 
15, 140 
+20.6 



205, 035 

218, 141 

+6.4 



79, 270 

86, 605 

+9.3 



70, 810 

76, 818 

+8.5 



67, 372 
74, 993 
+11.3 



67, 823 
72, 777 
+7.3 



33, 409 
39, 362 

+17.8 



160, 317 

152, 530 

-4.9 



79, 677 

75, 152 

-5.7 



24,306 

22, 843 

-6.0 



17. 644 

16,962 

-3.9 



14, 697 

14, 387 

-2.1 



15, 252 

14, .362 

-5.8 



8,741 
8,824 
+0.9 



87 



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CO 


^m 


q: 


-^ 


LU 


Q- 


0) 


CL 


CO 




\- 


z: 
< 




u 


% 




2 


CO 


s 


m^ 


CO 




CL 


z: 

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Li_ 
Li- 






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3SV3iJD3a 



88 



Table 30.- 



■Annual trends, offenses known to the police, 194^5-46, by regions, 
geographic divisions, and States 



Regions, divisions, 
and States 


Total 


Murder 

and 
nonneg- 
ligent 
man- 
slaugh- 
ter 


Man- 
slaugh- 
ter by 
negli- 
gence 


Rape 


Rob- 
bery 


Aggra- 
vated 
assault 


Bur- 
glary— 
break- 
ing or 
entering 


Lar- 
ceny- 
theft 


Auto 
theft 


Total, 2,010 cities; popu- 
lation. 65,746,225: 
1945 


987, 209 
I, 059, 869 

+7.4 


3,627 
4,253 
+17.3 


2,919 
3,105 
+6.4 


7,620 
7,964 

+4.6 


36, 102 
41. 718 
+15.6 


39, 861 

44, 387 
+11.4 


213, 064 
237, 216 
+11.3 


523, 719 ■ 

668, 696 

+8.6 


r60, 317 


1946 


162, 530" 


Percent change. _ 


-4.9 


The North, 1,365 cities; 
population, 46,384,263: 
1945 


498, 169 
635, 701 

+7.5 


1,566 

1,867 

+19.3 


1,612 
1,739 
+7.9 


4,422 
4,853 

+9.7 


18, 296 
20, 733 
+13.3 


16,208 
18, 936 
+16.8 


114,210 

124, 651 

+9.1 


261, 726 

283, 983 

+8.5 


80, 139 


1946 . - 


.78, 949 


Percent change 


-1.6 


New England, 175 cities; 
population, 5,716,816: 
1945 


65, 933 
61,950 
+10.8 


70 
89 

+27.1 


176 

153 

-13.1 


422 

423 

+0.2 


929 

1, 162 

+25.1 


805 
+5.4 


14, 632 
16, 402 

+12.1 


29, 648 
S3, 640 
+13.5 


9,292 


1946 


^ 9, 276 


Percent change 


-0.2 


Connecticut, 27 cities; 
population, 1,078,890: 
1945 


12, 884 
14, 444 

3,440 
3,470 

30, 755 
33, 914 

i, 601 
1.637 

6,447 
7,643 

806 
842 

131, 393 

U5, 270 

+10.6 


16 
23 

3 
3 

45 
55 

1 
3 

5 
5 


39 
29 

10 

9 

102 
81 

6 

4 

19 
30 


62 
66 

26 
22 

279 
274 

26 
25 

27. 
32 

2 
4 

1,506 
1,605 
+6.6 


184 
230 

46 
63 

57^ 
693 

9 

7 

108 
166 

3 
3 

■ 4AS3 

5,620 

+26.8 


242 
246 

34 

38 

378 
384 

12 
6 

96 
129 

2 
2 

6,124 
6,802 
+11.1 


3,425 
3,908 

808 
809 

8,303 
9,087 

334 

387 

1,636 
2,087 

126 
124 

SO, 126 
34, 804 
+15.5 


7,272 
8, 286 

1,972 
2,099 

15,344 
17, 390 

1,046 
1,035 

3,419 
4,226 

595 
604 

57, 421 

62, 952 

+9.6 


1,644 


1946 . - 


1,656 


Maine, 15 cities; popula- 
tion, 284,317: 
1945 


541 


1946 


427 


Massachusetts, 99 cities; 
population, 3,477,447: 
1945 


5,725 


1946 


5,950 


New Hampshire, 13 cities; 
population, 235,308: 

1945 

1946 

Rhode Island, 15 cities; 
population, 568,989: 
1945 


167 
170 

1,137 


1946 

Vermont, 6 cities; popula- 
tion, 71,865: 
1945 


968 
78 


1946 






105 


Middle Atlantic, 475 
cities; population, 19,- 
221,916: 

1945 

1946 

Percent change 


570 
708 

+24.2 


865 

945 

+9.2 


SO, 348 

31,834 

+4-9 


New Jersey, 130 cities; 
population, 2,772,750: 

1945 

1946 
New York, 160 cities; 
population, 10,950,956: 
1945 


28, 293 
31,319 

63, 765 
70, 833 

39, 335 
43,118 

S46,67S 
+3.1 


74 
69 

334 
400 

162 
239 

737 

809 

+9.8 


132 

158 

514 
546 

219 
241 

430 

467 

+8.6 


236 
239 

858 
977 

412 
389 

1,983 
2,253 
+13.6 


815 
1,108 

1,733 
2,205 

1,885 
2,307 

11,222 

11,763 

+4.8 


1,276 
1,424 

3,207 
3,668 

lT641 
1,710 

7,973 
8,890 
+11.5 


7,734 
9,001 

10,605 

12, 520 

11,787 

13, 283 

65, 868 

67, 765 

+3.4 


13, 274 

14, 361 

28,868 
32,007 

15, 279 

16, 584 

137, 687 

144, 133 

+4.7 


4,752 
4,959 

17, 646 


1946 

Pennsylvania, 185 cities; 
population, 5,498,210: 
1945 


18, 510 
7,950 


1946 


8,365 


East North Central, 479 
cities; population, 
16,178,763: 
1945 


SO, 773 


1946 

Percent change 


28, 174 
-8.4 


Illinois, 123 cities; popu- 
lation, 5,311,853: 
1945 


60, 144 
69, 100 

29, 806 

30, 245 


256 
297 

85 
89 


109 
108 

56 
52. 


562 
608 

159 
153 


4,644 
4,694 

867 
957 


2,519 
2,506 

958 
913 


16, 201 
15, 798 

6,256 
7,286 


29, 081 
29,081 

• 17, 182 
16, 576 


6,772 


1946 


6,058 


Indiana, 61 cities; popu- 
lation, 1,625,762: 
1945 


4,243 
4,219 


1946- 



89 



Table SO.— Annual trends, offenses known to the police, 1945-46, by regions, 
geographic divisions, and States- — Continued 



Regions, divisions, 
and States 



Michigan, 90 cities; pop- 
ulation, 3,288,980: 

1945 

1946 

Ohio, 135 cities; popula- 
tion, 4,369,808: 

1945 

1946 

Wisconsin, 70 cities; pop- 
ulation, 1,582,360: 

1945 

1946 

West North Central, 236 
cities; population, 
5,266,768: • 

1945 

1946 

Percent change 



Total 



Iowa, 50 cities; population. 
910,077: 

1945 

1946 

Kansas, 45 cities; popula- 
tion, 663,721: 

1945 

1946 

Miimesota, 61 cities; pop- 
ulation, 1,322,660: 

1945 

1946 

Missouri, 39 cities; popu- 
lation, 1.685,230: 
1945__.__.. 

1946 

Nebraska, 20 cities; popu- 
lation, 446,618: 

1945 

1946 

North Dakota, 9 cities; 
population, 105,072: 

1945 

1946 

South Dakota, 12 cities; 
population, 133,390: 

1945 

1946 

The South,i 361 cities; 
population, 11,767,810: 

1945 

1946 

Percent change 



South Atlantic,! 177 
cities; population, 
5,694,779: 

1945 

1946 

Percent change 



Delaware, 3 cities; popu- 
lation, 122,235: 

1945 

1946 

Florida, 30 cities; popula- 
tion, 838,402: 

1945 

1946 

Georgia, 23 cities; popula- 
tion, 750,488: 

1945 

1946 

<~Maryland, 12 cities; popu- 
lation, 1,002,776: 

1945 

1946 



68, 054 
70, 857 



71, 166 
75, 295 



17, 503 

18, 747 



64, 170 
74, 237 
+15.7 



Murder 

and 
nonneg 
ligent 
man- 
slaugh- 
ter 



239 
256 



Man- 
slaugh- 
ter by 
negli- 
gence 



Rape 



10, 177 
12, 254 



9,477 
11,466 



12,664 
14, 243 



22, 275 
26, 217 



7,203 
7,033 



843 
1,436 



1,531 
1,688 



244. 715 

264, 868 

-i-8.2 



179 

251 

+40.2 



117 
152 



118, 150 

126, 457 

+7.0 



2,544 
2,712 



24, 473 

25, 946 



18, 223 
17, 471 



12, 691 

13, 719 



1.674 

1,951 

-fl6. 5 



m 

174 
+23.4 



950 



383 

475 



511 

572 



+11.9 



787 

903 

+14.7 



177 
194 



97 
102 



704 
-1-13.2 



Rob- 
bery 



2,697 
2,985 



2,831 
2,989 



183 
138 



1,712 
2,188 
+27.8 



Aggra- 
vated 
assault 



2,573 
3,374 



1,793 
1.938 



Bur- 

glary- 

break- 

ing or 

entering 



296 



285 

297 

+4-2 



12 I 
18 I 



1,348 
1,370 
+1.6 



212 
230 



257 
310 



104 
133 



1,347 
2,439 
+81.^ 



114 
136 



895 



137 

138 



725 
701 
-3.3 



102 
81 



138 
139 



7,104 
9,197 
+29.5 



3,540 
4,642 
+28.3 



121 
104 



622 



580 



524 
708 



14, 109 



16, 851 

17. 509 



2,451 
2,464 



13, 584 
15, 690 
+15. 5 



2,265 
2,709 



2,258 
2,941 



2,531 
2,893 



4,712 
5.393 



1,384 
1,329 



Lar- 
ceny- 
theft 



39, 557 
41, 591 



39, 482 
43, 176 



12, 385 

13, 759 



36, 970 
43, 258 
+17.0 



18, 321 

19, 544 
-f6.7 



10, 993 

11,130 

+1.2 



1,714 
1,394 



1,224 
1,001 



1,252 
1,462 



163 

158 



271 
267 



6,126 

7,585 



500 
718 



7,727 
8,951 



11, 993 

13, 575 



4,073 
4,269 



539 
1,057 



1,012 
1,103 



52,043 127.211 
61,055 136. 
+17.3 +6.4 



24,161 
27,959 
+15.7 



541 
579 



5,862 
7,200 



60, 076 

63,700 

+6.0 



1,532 
1,602 



12, 749 

13, 342 



3, 499 10, 137 
3, 496 9, 627 



2,273 
2,534 



5,368 
5,680 



Auto 
theft 



8,100 



9,434 
8,787 



2,224 
2,114 



9,726 
9,665 
-0.6 



1,486 
1,545 



1,320 
1,328 



1,900 
1,816 



3,227 
3,515 



1,448 
1,113 



124 
163 



221 
185 



35. 667 
-2.0 



17, 683 

17, 226 

-2.0 



305 
381 



3,244 

2,804 



2, 577 
2,445 



3,027 
3,076 



1 Includes the District of Columbia. 



90 



Table 30. 



-Annual trends, offenses known to the police, 1945-46, by regions, 
geographic divisions, and States — Continued 



Regions, divisions, 
and States 


Total 


Murder 

and 
nonneg- 
ligent 
man- 
slaugh- 
ter 


Man- 
slaugh- 
ter by 
negli- 
gence 


Rape 


Rob- 
bery 


Aggra- 
vated 
assault 


Bur- 
break- 
ing or 
entering 


Lar- 
ceny- 
theft 


Auto 
theft 


North Carolina, 42 cities; 
population, 769,255: 
1945 ■- 


16,254 
18, 372 

6,524 
6,924 

21, 440 

22, 898 

6.603 
6,450 

45, SS2 

48, 196 

+6.3 


101 
135 

63 

55 

125 
144 

28 
26 

399 

446 

+11.8 


66 
65 

11 
5 

29 
42 

11 

28 

160 

177 

+10.6 


84 
103 

28 
33 

228 
189 

17 
31 

246 

247 

+0.4 


335 
335 

155 
137 

754 
907 

287 
251 

/, 753 
2,281 
+30.1 


3,748 
4,019 

400 
444 

1,863 
1,847 

248 
286 

3, 732 
4, 305 
+15.4 


3,385 
3,672 

970 
1,262 

4,322 
4,831 

1,276 
1,549 

11,026 
12, 083 
+9.6 


6,936 
8,070 

3, 968 
4,069 

11.161 
12, 146 

2.827 
3,414 

20, 713 

21, 003 
+1.4 


1,599 


1946 - - 


1,973 


South Carolina, 15 cities; 
population, 290,270: 
1945 


929 


1946 


919 


Virginia, 30 cities; popula- 
tion, 838,147: 
1945 


2. 958 


1946 - 


2. 792 


West Virginia, 21 cities; 
population, 420,115: 

1945 


909 


1946 


865 


East South Central, 69 
cities; population, 
2,329,972: 
1945 


7,304 


1946 


7,654 


Percent change 


+4.8 


Alabama, 17 cities; popu- 
lation, 601,323: 
1945 


11.924 

12. 633 

14. 964 

15, 254 

4.760 
5.199 

13. 684 
15. 110 

81,233 
90, 215 
+11.1 


111 
142 

92 
93 

42 
41 

154 
170 

488 

602 

+23.4 


28 
30 

67 
63 

14 
21 

51 
63 

177 

230 

+29.9 


58 
83 

72 
02 

32 
33 

84 
69 

377 

422 

+11.9 


343 

367 

742 
936 

100 
129 

568 
849 

1,811 
2,374, 
+31.1 


1,392 
1,647 

850 
996 

550 
625 

940 
1,037 

3,596 
4,109 
+14.S 


3,159 
3, 505 

3,829 
3,923 

874 
1,180 

3,163 
3,475 

16, 867 
21,013 
+24.7 


5, 490 
5,175 

6. 567 
6,819 

2, 569 
2,594 

6,087 
6,415 

46, 422 

50, 677 

+9.2 


1, 343 


1946 


1,684 


Kentucky, 21 cities; popu- 
lation, 653,571: 

1945 


2,745 


1^46 


2,362 


Mississippi, 15 cities; pop- 
ulation, 268,298: 

1945 - - 


579 


1946 


576 


Tennessee, 16 cities; popu- 
lation, 806,780: 
1945 


2, 637 


1946 


3,032 


West South Central, 115 
cities; population, 
3,743,059: 
1945 


11,505 


1946 


10, 788 


Percent change 


^6.2 


Arkansas, 13 cities; popu- 
lation, 251,904: 
1945 


5,040 
5.033 

8.703 
10.150 

14, 512 
14. 887 

52. 978 
60. 145 

244. 325 

259, 300 

+6.1 


32 

45 

99 
118 

50 
45 

307 
;}94 

397 

446 

+ 12.1 


14 
25 

25 
52 

27 
29 

111 
124 

686 

662 

-3.4 


' 13 
36 

58 
74 

79 

48 

227 

264 

1.860 
1.741 
-5.9 


252 
240 

215 
484 

336 
399 

1.008 
1. 251 

10. 702 
11.788 
+10.1 


392 
376 

758 
902 

264 
271 

2.182 
2. 5()0 

5.322 

6,907 

+11.0 


866 
1,191 

1. 309 

2. 230 

2,978 
3,558 

11.704 
14, 034 

46, 801 
51. 510 
+ 10.1 


2, 696 
2,486 

4, 267 
4,607 

8,815 
8,883 

30, 644 
34, 701 

134, 782 
149, 333 
+ 10.8 


115 


1946-..- 


634 


Louisiana, 18 cities; popu- 
lation, 806,162: 

1945.- 


1,972 


1946 -. 


1,683 


Oklahoma, 31 cities; pop- 
ulation, 639,207: 
1945 


1, 963 


1946 


1,654 


Texas, 53 cities; popula- 
tion, 2,045,786: 
1945 


6,795 


1946 


6,817 


The West, 284 cities; pop- 
ulation, 7,594,152: 
1945 


43, 786 


1946 


37, 914 


Percent change 


-13.4 


Mountain, 89 cities; popu- 
lation, 1,471,416: 

1945 


35,646 
42,052 
+18.3 


58 

83 

+43.1 


90 

92 
+2.2 


290 

275 
-5. 2 


883 
1,154 
+30.7 


698 

656 

+9.6 


7,423 
8,717 
+17.4 


21,680 
26, 334 
+21.6 


4,524 


1946 


4,742 


Percent change 


+4.8 



91 

Table 30. — Annual trends, offenses known to the jiolics, 1943-46, by regions 
geographic divisions, and iSfaies— Continued 



Regions, divisions, 
and States 



Total 



Murder 

and 
n on neg- 
ligent 
man- 
slaugh- 
ter 



Man- 
slaugh- 
ter by 
negli- 
gence 



Rape 



Rob- 
bery 



Aggra- 
vated 
assault 



Bur- 
glary— 
break- 
ing or 
entering 



Lar- 
ceny- 
theft 



Auto 
theft 



Arizona, 9 cities; popula- 
tion, 142,618: 

1945 

1946 

Colorado, 21 cities; popu- 
lation, 548,052: 

1945 

1946 

Idaho, 13 cities; popula- 
tion, 125, 885: 

1945 

1946 

Montana, 13 cities; popu- 
lation, 166,226: 

1945 

1946 I 

Nevada, 4 cities; popula- 
tion, 55,729: 

1945 

1946 

New Mexico, 11 cities; 
population, 105,315: 

1945 

1946 

Utah, 12 cities; popula- 
tion, 253,634: 

1945 

1946 

Wyoming, 6 cities; popu- 
lation, 73,957: 

1945 

1946 

Pacific, 195 cities; popula- 
tion, 6,122,736: 

1945 

1946 

Percent change 

California, 146 cities; pop- 
ulation, 4,779,149: 

1945 

1946 

Oregon, 21 cities; popula- 
tion, 472,616: 

1945 

1946... 

Washington, 28 cities; 
population, 870,971: 
1945 



5,558 
6,209 



11,826 
13, 697 



3,093 
3.416 



2,658 
3,700 



2,077 
2,828 



,461 



6,520 

7.877 



1,932 
1,864 



W8, 779 

217, 248 

+4.1 



165, 304 
171,286 



15, 770 
15, 957 



27. 705 
30, 005 



339 

362 

+6.8 



277 
295 



15 



695 
570 
-i.2 



All 
449 



144 

137 



1,560 
1,466 
-6.0 



162 

187 



348 
493 



72 

118 



130 
136 



9,819 
10, 634 
+8.3 



167 
157 



160 
179 



27 



87 
127 



103 
67 



4,724 
6,252 
+11.2 



855 
1,102 



3,215 
3,723 



560 
664 



408 



511 
634 



339 
348 



1,184 
1,350 



351 
307 



39, 378 

42, 79S 

+8.7 



3,517 
3.926 



6,731 

7,770 



1,985 
2,221 



1,852 
2,568 



1,180 
1,700 



1,053 
1,529 



4,092 
5,336 



1,270 
1,284 



113, 102 

122, 999 

+8.8 



1,420 
1,293 



65 



75 
104 



8,301 
9,002 



570 
590 



948 
1,042 



4,277 
4.746 



210 
262 



237 
244 



30, 162 
32, 321 



3,593 
3,897 



5,623 
6,575 



88, 952 
97. 550 



8,815 
8,953 



15, 335 

16, 496 



781 
784 



1,172 
1,323 



473 
440 



308 
382 



262 
331 



345 
383 



943 
919 



240 
180 



33, 172 
-15.5 



31, 438 
25, 630 



2,473 
2,130 



5,351 
5,412 



733223° — 47- 



92 



MONTHLY VARIATIONS 
Offenses Known to the Police 



1946 



405 CITIES TOTAL POPULATION 52,017,790 



(Offenses Against the Person) 



Murder 



u 



T 




/ 



Rape 



g y^^^^/^-^^-^^-^^-^ ^^/-/^/4 -; 



Negligent Manslaughter 




Aggr avated Assault 




fe//^^///^-- '/ ^,///^y///^'/,///Y///''^'^'''^^^^^ 



Figure 12. 



93 

Monthly Variations, Offenses Known to the Police 

As a general rule the seasonal crime pattern in 1946 was much the 
same as in prior years, showing definite seasonal fluctuations. 

Aggravated assaults and rapes were generally most frequent during 
the summer months and showed a general tendency to decline in the 
colder weather. The daily average in murders was 33 percent higher 
m September and 37 percent higher in December than in January. 
The daily average for rape was 31 percent higher for August than for 
January, while the aggravated assault figure was 29 percent higher 
in September, than in January. 

Robberies, burglaries, larcenies, and auto thefts, on the other hand, 
showed a tendency to be least frequent in the summer and most fre- 
quent during the winter months. This was particularly noticeable 
for the crime of robbery which showed 41 percent and 64 percent 
higher 4aily averages in January and December respectively than in 
June. The burglary curve, though less pronounced, was generally 
as definite as the curve in robberies, the peak months being March 
and December. The burglary daily average in March was 24 per- 
cent in excess of the June daily average while the figure for December 
was 28 percent in excess of that for June. 

Larceny, as in prior years, showed a tendency to increase during 
the early months of the year, fell off during the summer, then increased 
until October when the frequency in these crimes showed a tendency 
to diminish. The daily average for larceny in October was 20 per- 
cent in excess of the figure for January. 

Auto theft offenses were most frequent during the early months of 
the year, falling to a low in July and from that point showed a tend- 
ency to mcrease in frequency. The figure for January was 39 per- 
cent over the daily average for July. 

Offenses of manslaughter by negligence consist almost entirely of 
traffic fatalities resulting from gross criminal negligence on the part 
of some person other than the victim. As would be expected the 
seasonal curve for these crimes follows the pattern of traffic deaths 
which are generally most frequent during the winter months when 
driving conditions are less favorable. The daily average number of 
offenses of manslaughter by negligence in December was 104 percent 
in excess of that in July. 



94 



MONTHLY VARIATIONS 
Offenses Known to the Police 



1946 



405 CITIES TOTAL POPULATION 52,017,790 



(Offenses Against Property) 



Robbery 



^^.^4^^^y^^y#^#^^ 




Larceny 



,ix 



H 




Burglary 



7m 



Auto Theft 



^ ¥ I - - I 



m 



Figure 13. 



95 



Table 31. — Monthly variations, offenses known to the police {daily average), 
405 cities over 25,000 in population 

[Total population, 52,017,790, based on 1940 decennial census] 



1946, 



Mouth 



January-December 

January-March 

April-June 

July-September...- 
October-December. 

January 

February 

March 

April • 

May 

June 

July 

August 

September 

October 

November 

December 



Criminal hom- 
icide 



Mur- 
der, 
nonneg- 

ligent 
man- 
slaugh- 
ter 



10.04 



5.54 
9.74 
10.11 
10.76 



8.65 
9.93 

10.10 
9.13 

10.29 
9.77 
9.13 
9.77 

11.47 
9.90 

10.50 

11.87 



Man- 
slaugh- 
ter by 
negli- 
gence 



7.58 



8. SO 
6.08 
6.17 

9.77 



8.68 
8.89 
7.39 
7.00 
5.74 
5.50 
5.45 
6.58 
6.50 
7.74 
10.47 
11.13 



Rape 



18.63 



17.^8 

18. 48 

19. 80 
18.78 



15.55 
16.64 
20.03 
17.63 
18.65 
19.17 
19.58 
20.32 
19.50 
19.90 
19.57 
16.90 



Rob- 
bery 



104.0 



114.1 
88.6 
92.1 

121.2 



120.5 
116.2 
105.8 
93.6 
86.9 
85.3 
87.4 
95.9 
93.2 
104.5 
118.9 
139.9 



Aggra- 
vated 
assault 



107. 



96.5 
107.1 
116.3 



91.8 
93.4 
104.0 
104.8 
104.2 
112.5 
113.3 
117.3 
118.5 
109.5 
108.9 
108.0 



Bur- 
glary— 
break- 
ing or 
enter- 
ing 



543.2 



584.1 
497.6 
512.5 
579.1 



581.4 
582.0 
588.8 
636.3 
482.4 
474.7 
508.9 
509.7 
519.1 
544.1 
584 1 
609.3 



Lar- 
ceny- 
theft 



1, 253. 4 



1,201.3 
1,218.1 
1,249.0 
1,343.8 



1, 136. 2 
1.191.5 
1, 275. 3 
1, 254. 7 
1. 208. 9 
1, 190. 9 
1, 209. 7 
1, 259. 8 
1, 278. 5 
1, 368. 1 
1, 356. 9 
1, 307. 



Auto 
theft 



355.2 



420.6 
341.5 
318.1 
341.8 



424.7 
423. 1 
414.1 
368.0 
341.7 
314.7 
305.6 
321.3 
327.6 
340.4 
344.5 
340.8 



Offenses Known to the Police — Cities Divided According to Location 

Crime per unit of population not only varies between cities of dif- 
ferent population groups but fluctuates within city groups in different 
sections of the country. This variance is also observed among the 
States and larger geographic areas, reflecting the differences in the 
economic and social make-up of the various sectors of the country as 
well as other factors affecting crime. Tables 33 and 34 present the 
detailed figures for study. 

The 1940 decennial census population figures were used in present- 
ing these tabulations and while the data are indicative of the crime 
problem throughout the country any comparisons or singling out of 
different sections must be made cautiously and with provisos. The 
movement of population within the United States during the war 
years has resulted in tremendous increases in population in certain 
areas with corresponding decreases elsewhere. 

In using figures locally, law enforcement officials in many instances 
may have available later population counts or estimates on which to 
base crime rates but for the purpose of this bulletin the 1940 popula- 
tion figures are used in lieu of later data for all cities. 



96 



Table 32.- — Number of cities in each State included in the tabulation of uniform 

crime reports, 1946 





Total 


Population group 


Division and State 


Over 
250,000 


100,000 to 
250,000 


50,000 to 
100,000 


25,000 to 
50,000 


10,000 to 
25,000 


Less than 
10,000 


Total- 
Population, 67,262,382 


2,262 


36 


54 


105 


210 


558 


1.299 


New England: 

Population, 5,882,315 


190 


2 


9 


13 


35 


69 


62 




29 
21 
103 
15 
16 
6 

537 




3 


2 

1 
8 


9 
2 
15 
2 
6 
1 

37 


8 
7 
43 
5 
5 
1 

137 


7 


Maine 


11 




1 


6 


30 


New Hampshire 

Rhode Island 


7 


1 




3 




4 


Middle Atlantic: 

Population, 19,619,447 


6 


11 


24 


322 


New Jersey 


142 
172 
223 

536 


1 
3 
2 

8 


4 

4 
3 

iO 


11 
23 


16 
10 
11 

59 


36 

47 
54 

119 


78 


New York 


102 




142 


East North Central: 

Population, 16,512,096 


317 




144 
67 
101 
149 

75 

265 


1 

1 
1 
4 
1 

4 


1 
3 
2 
4 




13 
10 
9 
14 
13 

12 


31 
15 
24 
33 

16 

59 


91 


Indiana 


34 


Michigan _ . . 


59 


Ohio_--_ 

Wisconsin 


90 
43 


West North Central: 

Population, 5,389,088 


5 


177 


Iowa 


57 
50 
68 
43 
23 
9 
15 

206 




1 
2 

1 

1 




6 
1 
1 
2 


9 
15 
11 
11 
6 
2 
5 

48 


37 




31 


Minnesota 


2 
2 


53 




26 


Nebraska 


15 


North Dakota .- 


1 
1 

20 


6 


South Dakota 








9 


South Atlantic: 

Population, 5,858,821 


3 


7 


17 


111 


Delaware 


3 
1 
32 
29 
13 
47 
19 
36 
26 

85 


r 

1 
1 


1 








2 










Florida 


3 




4 
1 
2 
4 
2 
5 
2 

10 


9 

7 
3 

12 
4 
6 
7 

21 


15 




16 






7 


North Carolina--- 


1 




26 
11 


Virginia 




2 


20 
14 


East South Central: 

Population, 2,448,846 


3 


3 


44 


Alabama 

Kentucky-. 


22 
23 
18 
22 

136 


1 

1 






3 
13 


4 
4 
9 
4 

36 


12 
12 




7 


Tennessee 

West South Central: 

Population, 3,847,475 


1 

4 


3 
3 


13 
73 


Arkansas - 

Louisiana 

Oklahoma 

Texas 

Mountain: 

Population, 1,530,649 


16 
20 
35 
65 

101 


1 
3 

1 


2 

1 

1 






6 
4 
11 
15 

24 


8 
11 
20 
34 

66 


Arizona 


10 
28 
17 
13 

4 
14 
14 

6 

206 


1 










8 


Colorado 


5 
6 
3 
1 
3 
2 
4 

45 


15 
10 


Montana 








8 


Nevada ._ 








3 


New MexicoV 










10 


Utah 




1 




10 


Wyoming 




2 


Pacific: 

Population, 6,173,645 


5 


6 


7 


17 


127 


California 


149 
24 
33 


3 

1 
1 


3 


7 


13 
3 


32 

5 
8 


91 


Oregon 


17 


Washington 


2 




19 



97 



Table 33.- — Number of offenses known to the police per 100,000 inhabitants, 19^6, 

by geographic divisions and States 

[Based on 1940 decennial census] 



Division and State 


Murder, 
nonnegli- 
gent man- 
slaughter 


Robbery 


Aggra- 
vated 
assault 


Burglary- 
breaking 
or entering 


Larceny — 
theft 


Auto theft 


Total 


6.49 


62.8 


67.5 


1 399. 6 


1 968. 2 


229.9 


New England 


1.56 


20.2 


13.8 


286.5 


583.8 


160.7 


Connecticut 


2.14 
.93 

1.57 


21.6 
21.1 
19.9 


22.1 
12.7 
11.0 

2.4 
21.2 

2.8 

35.2 


360. 8 ■ 

272.2 

261.3 

158.4 

366. 7 

172.5 

2 253. 1 


750.4 
700.1 
500.2 
428.6 
726.8 
840.5 

2 471.9 


150 


Maine 

Massachusetts .-- 


151. 3 
170 5 


New Hampshire 

Rhode Island . -- 


1.22 
1.13 


3.2 

27.7 
4.2 

28.9 


70.9 
166 9 






Middle Atlantic I 3.62 


163.8 


New Jersey 


2.39 


39.1 
20.1 
41.0 

72.0 


51.2 
33.3 
30.7 

54.9 


319.3 
3 216.1 
< 237. 4 

853.3 


514. 
3 545. 7 
< 369. 2 

881.4 


175 5 




3.63 
4.23 

5.00 


168 2 


Pennsylvania 

Ea^'t North Central 


149. 5 
174 2 


Illinois.! 

Indiana 






5. .58 
5.23 
4.63 


87.2 
58.3 
89.6 
68.2 
8.6 

41.0 


46.5 
56.1 
101.8 
45.7 
10.0 

45.4 


294.4 
439. 3 
441.5 
397. 3 
154.8 

296.7 


540.6 

1, 008. 1 

1, 250. 7 

977.8 

862.8 

808.9 


114.0 
259. 5 
212 5 


■Ohio 


5.91 
1.00 

4.82 


200 2 


W^isconsin - - 


133 1 


West North Central - - - 


180 8 








3. 73 


20.6 
33.6 
22.9 
76.1 
29.6 
30.5 
7.6 

- 79.9 


12.2 

20.1 

10.1 

111.8 

30.3 

5.7 

6.9 

197.5 


294.3 
442.5 
215.3 
317.7 
298.9 
150.4 
189.9 

486.8 


812.9 
1.001.3 
664.8 
797.0 
944.4 
1, 006. 
779.6 

1. 106. 7 


165 8 


Kansas 

Minnesota - - 


3. 91 
1.41 
9.26 
4.61 


198. 
135 1 




206 5 




245 ■") 






South Dakota 




133 7 


South Atlantic 5 -- -- 


15.91 


299 








9.82 
16.69 
25. 35 
10.12 
18.60 
18.53 
16.84 

6.21 

19.48 


85. 1 
110.5 
75.8 
70.5 
49.7 
46.7 
109. 3 
56.4 

95.4 


11.5 
166. 4 
131.2 
145.2 
525. 3 
154.2 
229. 5 

63.5 

180.4 


473. 7 
853. 7 
452. 2 
251.5 
482. 6 
424.5 
575.2 
353. 6 

508.3 


1,310.6 
1,581.7 
1, 232. 8 

563. 8 
1, 069. 6 
1, 354. 9 
1, 426. 6 

786.4 

876.7 


311 7 


Florida 


332 9 




313 6 






North Carolina 

South Carolina 


263. 2 

306 7 


Virginia 


329 '> 


West Virginia 


194 9 


East South Central . . 


318 3 








24.42 
14.41 
15. 40 
21.18 

15.96 


62.1 
142.5 

45.9 
100. 8 

62.2 


269. 2 
153.7 
212. 3 
123.0 

108. 6 


577.4 
593. 
407.2 
425.1 

554.4 


854. 5 

1,028.2 

895.1 

767.7 

1. 335. 4 


275 2 


Kentucky 

Mississippi 


357. 9 
194. 6 
36.3 4 


West South Central 


284 






Arkansas - - 


17.89 
14.45 
6.80 
19.18 

5.62 


90.2 
59.3 
61.3 
60.1 

77.1 


153. 5 
110.9 
41.2 
123.2 

46.1 


457.6 
273.9 
542.4 
679.6 

581.6 


958.4 

567.7 

1, 351. 9 

1. 676. 6 

1. 761. 6 


244 8 


Louisiana 


207. 5 




251. 1 


Texas - 


329 1 


Mountain 


320.1 


Arizona 

Colorado 

Idaho 

Montana 

Nevada 


8.14 
6. 77 
3.42 
3.61 
7.18 
5.91 
3.82 
5.41 

5.93 


134.4 
89.3 
30.1 
39.1 

211.7 
43.9 
52.4 
87.9 

172.8 


120.8 
33.9 
8.9 
37.9 
59.2 

119.1 
27.1 
21.6 

85.7 


771.0 
667.6 
506.8 
354.3 
1, 137. 6 
327.7 
520.0 
415.1 

697.7 


2, 696. 5 
1. 401. 4 
1,781.8 
1, 544. 9 

3, 050. 5 

1, 352. 9 

2, 052. 

1, 736. 1 

2, 007. 5 


554. 5 
243. 2 
335. 8 
229.8 
593 9 


New Mexico 

Utah 

Wyoming 


337. 8 
357.1 
243 4 


Pacific -- -- 


541 2 






California 


6.15 
4.74 


187.8 
122.6 
119.6 


99.0 
54.4 
31.5 


676.0 
817.4 
749.3 


2, 037. 6 
1, 902. 9 
1, 902. 9 


535. 6 
450.3 


Washington. 


5.37 


620.6 



1 The rates for burglary and larceny are based on the reports of 2,260 cities with a total population of 
,57.876,053. 

2 The rates for burglary and larceny are based on reports of 535 cities with a total population of 10,233,118. 

3 The rates for bui'glary and larceny are based on reports of 171 cities. 
* The rates for bui'glary and larceny are based on reports of 222 cities. 
•5 Includes the report of the District of Columbia. 



98 



Table 34.— Number of offenses known to the police per 100,000 inhabitants, 1946, 

by geographic divisions and population groups 

[Based on 1940 decennial census] 



Division and group 


Murder, 
aonnegligent 
man- 
slaughter 


Robbery 


Aggra- 
vated as- 
sault 


Burglary- 
breaking or 
entering 


Larceny — 
theft 


Auto theft 


Total 


6.49 


62.8 


67.5 


1 899. 6 


1 968. 2 


229.9 






\^ew England 


1.56 


20.2 


13.8 


286.5 


583.8 


160.7 






Group I 


2.05 
1.89 
1.04 
1.35 

1.77 
.75 

3.62 


41.0 
25.3 
19.2 
14.7 
7.4 
6.0 

28.9 


26.6 
19.8 
9.7 
9.7 
5.4 
9.5 

35.2 


250.7 
428.2 
325.0 
254.9 
204.2 
194.1 

2 253. 1 


526.6 
766.4 
695.9 
562.5 
440.5 
381.0 

2 471. 9 


324.7 


Group II - --- 


189.0 


Group III - 


149.8 


Group IV . . 


113.2 


Group V - - 


72.1 


Group VI 


71.7 


Middle Atlantic 


163.8 


Group I - - - - 


5.13 
1.74 
2.44 
1.32 
1.52 
.65 

5.00 


34.7 
28.8 
31.5 
14.0 
19.1 
11.8 

72.0 


41.2 
36. 8 
40.1 
25.4 
19.9 
16.2 

54.9 


3 323. 7 
290.4 
296.4 
260.2 
197.9 
161.3 

353.3 


3 382. 1 
548.1 
608.2 
607.4 
446.2 
310.8 

881.4 


182.4 




189.2 


Group III 


175.8 


Group IV 


133. 3 


Group V 

Group VI _ . _ . - 


115.5 
90.8 


East North Central 


174.2 




6. 63 
6.00 
2.96 
3.02 
3.07 
2.78 

4.82 


105. 9 
85.4 
49.9 
29.9 
28.5 
19.5 

41.0 


77.6 
83.0 
41.5 
21.9 
18.9 
14.8 

45.4 


398.2 
479.1 
353.0 
288.7 
264.4 
204.5 

295.7 


839.9 
1,223.8 
1,011.2 
985.8 
861.0 
539.4 

808.9 


167.5 


Group LL 


262.6 


Group III -- 


203.4 


Group IV 

Group V . - 


176.7 
153.1 


Group VI 


118.9 


West North Central 


180.8 


Group I 

Group II - 


7.87 
5.55 
3.10 
2.53 
2.01 
2.16 

16.91 


67.9 
32.9 
35.5 
29.8 
15.9 
19.4 

79.9 


94.0 
30.2 
17.8 
13.9 
12.6 
10.9 

197.5 


277.9 
364.3 
507.6 
291.2 
256.9 
186.9 

486.8 


752.4 
939.6 
1,284.1 
1,044.2 
845.7 
392.4 

1, 106. 7 


197.1 
236.7 


Group III 


256.5 


Group IV -. 


177.0 


Group V 


136.2 


Group VI 

South Atlantic 4 


95.5 
299.0 


Group I 


16.00 
21. 21 
14.78 
12.56 
14.39 
14.25 

19.48 


86.6 
145.3 
59.0 
61.3 
42.3 
51.1 

95.4 


131.4 
200.2 
251. 7 
289.8 
175.1 
217.3 

180.4 


371.3 

818.1 
470.4 
543.6 
418.2 
311.3 

508.3 


797.2 

1,579.2 

1.351.9 

1,352.1 

995.0 

606. 7 

876.7 


339.9 




416.1 


Group III 


248.8 


Group IV 

Group V 

Group VI -- 


2.88.2 
228.0 
151.4 


East South Central 


818.3 




17.74 
28.49 
15. 66 
15. 11 
20.04 
20.21 

15.96 


142.3 

115.7 
61.9 
67.5 
47. 1 
28.1 

62.2 


180. 2 
83.5 
353.8 
222.6 
188.0 
69.4 

108. 6 


574.5 
576.5 
610.1 
460.4 
418.8 
203.0 

554.4 


957.8 
9U0.7 
730. 8 
1.111.4 
949.3 
261.4 

1, 335. 4 


368. 6 


Group II 


464. 2 


Group III - 


241.3 


Group IV 


279. 1 


Group V - - - 


260.0 


Group VI 


98.4 


West South Central - . _ 


284.0 


Group I 


21.36 
11.25 
14.32 
13.25 
12.83 
12.05 

5.62 


86.0 
81.5 
47.1 
38.1 
38.1 
30.2 

77.1 


142.8 
72.5 
94.1 

128.3 
61.9 
94.8 

46.1 


718.5 
681.7 
450.6 
481.9 
346.3 
292.7 

681.6 


1,609.6 
1,763.3 
1.251.5 
1. 187. 7 
887.2 
652.9 

1,761.6 


330.5 




338.8 


Group III 


345.7 


Group IV - 


230.1 


Group V 


167.2 


Group VI 


175.6 


Mountain 


320.1 




9.30 
5.34 
8.51 
4.07 
4.59 
3.46 

5.93 


129.3 
54.0 

107.2 
56.5 
57.4 
62.6 

172.8 


. 27.3 

18.0 

116.5 

, 73.2 
33.0 
45.6 

85.7 


892.6 
587.6 
761.2 
487.2 
452.3 
425.5 

697.7 


1, 465. 4 

1, 898. 8 

2, 046. 3 
2, 369. 
1.996.0 
1, 195. 7 

2, 007. 5 


247.8 


Group II 


380.8 


Group III 

Group IV 

Group V 

Group VI 

Pacific 


515.4 
401.8 
307.4 
249.7 

541.2 


Group I 


7.10 
5.67 
4.92 
3.81 
5.50 
3.68 


243. 3 
145. 3 
148. 1 
83.2 
76.8 
58.6 


122.7 
65.1 
54.8 
40.8 
36.1 
42.4 


728.4 
733.6 
715.7 
663. 2 
660. 3 
570.0 


1,837.6 
1,878.1 
2, 324. 4 
2. 216. 6 
2, 581. 9 
1,985.7 


606.6 




553. 3 


Group III 


449. 6 


Group IV 


406. 2 
517.7 


Group VI 


426.1 



The rates for burglary and larceny are based on the reports of 2,260 cities with a total population of 
57,876,053. 2 The rates for burglary and larceny are based on the reports of .535 cities with a total pop- 
ulation of 10,233,118. 3 The rates for burglary and larceny are based on the reports of 4 cities. » Includes 
the report for the District of Columbia. 



99 

Offenses in Individual Cities With, More Than 25,000 Inhabitants 

The number of offenses reported as having been committed during 
the period of January-December 1946 is shown in table 35. The 
compilation includes the reports received from police departments in 
cities with more than 25,000 inhabitants. PoKce administrators and 
other interested individuals will probably find it desirable to compare 
the crime rates of their cities with the average rates shown in tables 
28, 33, and 34 of this pubhcation. Similarly, they will doubtless 
desire to make comparisons with the figures for their communities for 
prior periods, in order to determine whether there has been an increase 
or a decrease in the amount of crime committed. 

Caution should be exercised in comparing crime data for individual 
cities, because dift'erences in the figures may be due to a variety of 
factors. The amount of crime connnitted in a community is not 
solely qhargeable to the police but is rather a charge against the 
entire community. The following is a list of some of the factors which 
might affect the amount of crime in a community: 

Population of the city and metropolitan. area adjacent thereto. 

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

The economic status and activities of the population. 

Climate. 

Educational, recreational, and religious facilities. 

The number of police employees per unit of population. 

The standards governing appointments to the police force. 

The policies of the prosecuting officials and the courts. 

The attitude of the public toward law-enforcement problems. 

The degree of efficiency of the local law-enforcement agency. 
It should be remembered that the war has brought about marked 
changes in some of the foregoing factors in many communities. 

In comparing crime rates, it is generally more important to deter- 
mine whether the figures for a given community show increases or 
decreases in the amomit of crime committed than to ascertain whether 
the figures are above or below those of some other community. 



733223°— 47- 



100 



Table 35.- — Number of offenses known to the -police, 1946, cities over 25,000 in 

'population 

[Based on 1940 decennial census] 



City 



Murder, 
nonneg- 
ligent 
man- 
slaughter 



Robbery 



Aggra- 
vated 
assault 



Bur- 
glary- 
breaking 

or 
entering 



Larceny— theft 



$50 and 
over 



Under 
$50 



Abilene, Tex 

Akron, Ohio 

Alameda, Calif 

Albany, N. Y 

Albuquerque, N. Mex. 



Alexandria, La.- 
Alexandria, Va.. 
Alhambra, Calif- 
Aliquippa, Pa... 
Allentown, Pa... 



Alton, 111 

Altoona, Pa 

Amarillo, Tex 

Amsterdam, N. Y. 
Anderson, Ind 



Anai Arbor, Mich. 

Anniston, Ala 

Apple ton. Wis 

Arlington, Mass... 
Arlington, Va 



Asheville, N. C 

Ashland, Ky 

Atlanta, Ga 

Atlantic City, N. J. 
Auburn, N. Y 



Augusta, Ga 

Aurora, 111 

Austin, Tex 

Bakersfield, Calif. 
Baltimore, Md 



Bangor, Maine 

Baton Rouge, La 

Battle Creek, Mich. 

Bay City, Mich 

Bayonne, N. J 



Beaumont, Tex 

Belleville, III 

Belleville; N. J 

Bellingham, Wash. 
Belmont, Mass 



Beloit, Wis 

Belvedere Twp. 
Berkeley, Calif. 

Berwyn, 111 

Bethlehem, Pa. 



Calif. 



Beverly, Mass 

Beverly Hills, Calif 
Binghamton, N. Y. 
Birmingham, Ala... 
Bloomfield, N. J.... 



Bloomington, 111. . 

Boise, Idaho 

Boston, Mass 

Bridgeport, Conn. 
Bristol, Conn 



Brockton, Mass .. 
Brookline, Mass. . 

Buffalo, X. Y 

Burbank, Calif ... 
Burlington, Iowa.. 

Burlington, Vt 

Butte, Mont 

Cambridge, Mass. 

Camden, N. J 

Canton, Ohio ..-. 



60 



9 

246 

19 

.32 

15 

19 
35 
22 
6 
15 



23 

33 

350 

62 

1 



36 
47 
643 

7 
10 
12 

4 



312 

12 



. 229 
2 



2 
135 

1 

55 

268 

6 

351 

141 

2 

230 



140 

11 

1,384 

1 

14 

31 

2 

42 



1 

384 

3 

11 

4 

205 

20 



91 

1,362 

79 

279 

129 

174 
190 
267 
44 
236 

131 

327 

158 

37 



113 
128 
• 70 
107 
156 

266 

98 

1,771 

414 



281 
65 
500 
228 
2,167 

47 
210 
262 

75 
196 

287 
43 
48 
89 
65 

53 
333 
487 
110 

62 

59 

115 

220 

1, 796 

78 

70 

219 

1,228 

349 

55 

344 
179 
851 
302 
72 



333 

418 
491 



55 

600 

35 



59 
110 

68 
19 
79 

21 
78 
218 
18 
23 

92 
75 
19 
14 
145 

261 

9 

1,214 

644 

24 

114 

34 

73 

277 

1,120 

62 
135 
126 
25 
42 



109 1 
21 I 
16 I 
32 



45 
46 
112 
41 
58 

26 
43 
133 

888 
25 

25 

100 

1,044 

384 

30 

100 
35 
285 
210 

8 

61 
24 
77 
173 
231 



161 
1, 937 
524 
483 
711 

287 
687 
442 
85 
348 

158 
520 
326 
71 
374 

554 
314 
354 
81 
462 

587 
82 
3,072 
837 
253 

571 

154 

1,353 

1,355 

3,388 

321 

285 
717 
385 
196 

642 
175 
68 
163 
119 

346 
183 
1,130 
119 
115 

151 
116 
820 
1,728 
143 

158 
423 
2,155 
976 
167 

362 

177 

1,243 

763 

128 

375 
156 
462 

328 
892 



101 



Table 35. — Number of offenses known to the police, 1946, cities over 25,000 in 

population- — Continued 



City 



Cedar Rapids, Iowa. 
Central Falls, R. I.- 
Charleston, S. C 

Charleston, W. Va.. 
Charlotte, N. C 



Chattanooga, Tenn. 

Chelsea, Mass 

Chester, Pa 

Chicago, 111 

Chicopee, Mass 



Cicero, 111 

Cincinnati, Ohio 

Clarksburg, "W. Va_ 

Cleveland, Ohio 

Cleveland Heights, Ohio. 

CHfton, Ne^ Jersey 

Clinton, Iowa 

Colorado Springs, Colo.. 

Columbia, S. C 

Columbus, Ga 



Columbus, Ohio 

Concord, X. H 

Corpus Christi, Tex . 
Council Bluffs, Iowa- 
Covington, Ky 



Cranston, R. I 

Cumberland, Md, 

Dallas, Tex 

Danville, 111 

Danville, Va 



Davenport, lowa. 

Dayton, Ohio 

Dearborn, Mich-_ 

Decatur, 111 

Denver, Colo 



Des Moines, Iowa- 
Detroit, Mich 

Dubuque, Iowa... 

Duluth, Miim 

Durham, N. C 



East Chicago, Ind 

East Cleveland, Ohio. 
Easton, Pa .-- 

East Orange, N. J 

East Providence, R. I. 



East St. Louis, 111 
Eau Claire, Wis -. 

Elgin, 111 

Elizabeth, N. J_-. 
Elkhart, Ind 



Elmira, N. Y. 
El Paso, Tex.. 
Elyria, Ohio.- 
Enid, Okla..-. 
Erie, Pa 



Evanston, 111 

Evansville, Ind.. 

Everett, Mass 

Everett, Wash.-. 
Fall River, Mass. 



Fargo, N. Dak_-- 

Fitchburg, Mass 

Flint, Mich 

Fond du Lac, Wis 

Fort Smith, Ark 

See footnotes at end of table. 



Murder, 
nonneg- 
ligent 
man- 
slaughter 



231 



Robbery 



7 
109 



14 
3 
62 
113 
52 

102 
23 
40 



44 

429 

7 



2 
4 

4 
36 
31 

356 



Aggra- 
vated 
assault 



274 
17 
44 

29 
212 

49 

11 

417 

18 

2,332 

2 

20 
24 

55 
18 

5 
37 

2 



1 

104 

1 

17 



122 
110 
443 



64 

1,816 

5 

87 

295 

8 

435 



3 
101 
63 

184 



Bur- 
glary- 
breaking 

or 
entering 



Larceny— theft 



$50 and 
over 



Under 
$50 



96 


97 1 


69 


14 ! 


345 


192 


295 


(1) 


653 


329 


585 


231 


128 


59 


169 


41 


10,715 


6,920 


56 


17 


199 


94 


2,268 


1.166 


72 




2,363 


744 


157 


23 


74 


45 


58 


53 


64 


118 


420 


398 


339 


198 


2,697 


1.828 


41 


28 



Only 9 months received 
2 

57 



6 

88 

45 

2,783 

3 

5 

577 

62 
-- 



116 



40 



5 
9 

1 

1 

194 

1 

56 



1.056 
820 

636 
151 
130 



3,278 

87 

8,620 

253 

75 

229 

608 

1,063 

537 

2, 337 
72 



116 


72 


249 


352 


56 


249 


126 


43 


201 


59 


34 


87 


3,518 


819 


7,016 


172 


52 


288 


84 


65 


276 


440 


49 


816 


1,075 


346 


2,602 


358 


213 


805 


251 


29 


518 


2. 918 


1,283 


3,507 


471 


137 


1,257 


8,918 


2,643 


17, 625 


47 


33 


286 


172 


175 


845 


278 


135 


529 


315 


108 


465 


171 


14 


254 


69 


45 


127 


223 


58 


285 


73 


20 


176 


182 


156 


282 


29 


40 


155 


65 


24 


155 


305 


129 


339 


42 


48 


177 


163 


135 


598 


604 


353 


1.066 


46 


34 


155 


55 


57 


391 


349 


94 


536 


169 


145 


645 


520 


233 


1,134 


91 


38 


187 


185 


43 


485 


532 


114 


481 


49 


66 


230 


86 


21 


208 


662 


492 


2.027 


52 


26 


400 


166 


62 


221 



102 



Table 35. — Number of offenses known to the police, 1946, cities over 25,000 in 

population — Continued 



City 



Fort Wa^Tie, Ind. 
Fort Worth, Tex. 

Fresno, Calif 

Gadsden, Ala 

Galesburg, 111 



Galveston, Tex 

Garfield, N.J 

Gary, Ind 

Glendale, Calif 

Grand Rapids, Mich. 



Great Falls, Mont 

Green Bay, Wis 

Greensboro, N. C 

Greenville, S. C 

Greenwich Town, Conn. 



Hackensack, N.J 

Hagerstown, Md 

Hamilton, Ohio 

Hamilton Township, N. J. 
Hammond, Ind 



Hamtramck, Mich._. 

Harrisburg, Pa 

Hartford, Conn 

Haverford Twp., Pa. 
Haverhill, Mass 



Murder, 
nonneg- 
ligent 
man- 
slaughter 



Robbery 



Hazleton, Pa 

Hiahland Park, Mich_ 
High Point, N. C_.--. 

Hoboken, N. J 

Holyoke, Mass 



Honolulu, T.H 

Houston, Tex 

Huntington, W. Va 

Huntmgton Park, Calif, 
Hutchtnson, Kans 



Indianapolis, Ind. 
Inglewood, Calif. 
Irvington, N. J-.. 
Jackson, Mich... 
Jackson, Miss 



Jacksonville, Fla 

Jamestown, N. Y... 
Jersey City, N. J—. 
Johnson City, Tenn. 
Johnstown, Pa. 



Joliet, 111 

Joplin, Mo 

Kalamazoo, Mich.. 
Kansas City, Kans. 
Kansas City, Mo.. 



Kearny, N. J 

Kenosha, Wis 

Kingston, N. Y.. 
Knoxville, Tenn. 
Kokomo, Ind 



La Crosse, Wis... 
La Fayette, Ind.. 
Lakewood, Ohio. 

Lancaster, Pa 

Lansing, Mich... 



Laredo, Tex 

Lawrence, Mass.. 

Lebanon, Pa 

Lewiston, Maine. 
Lexington, Ky... 




14 

10,5 
5 



13 
85 
201 
2 
11 



2 
184 
35 
41 

13 
2 
31 

14 
4 

6 
55 
32 

5 
34 

46 

38 
92 



Aggra- 
vated 
assault 



60 
196 
63 

99 
5 



Bur- 
glary- 
breaking 

or 
entering 



433 
1,014 



Larceny— theft 



$50 and 1 Under 
over $50 



246 
318 
385 
51 
26 



Only 4 months received 
10 
234 



1 

505 

27 

2 

13 

56 
14 

1 



4 
54 
108 



Onlv 11 months received 



Complete data not receiv 
63 
95 

81 
258 
240 
445 
1,658 

87 

65 

44 
548 
150 

100 
92 
136 
115 
138 

116 

209 

43 



6 
2 


26 
5 


36 
60 
21 
88 
495 


2 

27 

20 

34 

645 


4 
1 


3 


2 

63 

5 


4 

90 

4 


3 
10 
15 


3 
13 


4 
6 


8 

7 


13 

19 

1 


43 
1 


4 




61 


160 



2,933 

1,482 

131 

190 



44 


16 


74 


746 


281 


992 


344 


197 


1,097 


553 


185 


2,573 


108 


106 


530 


86 


27 


151 


296 


306 


648 


161 


190 


354 


34 


15 


90 


92 


35 


86 


1.37 


76 


.374. 


1.32 


99 


285 


66 


24 


166 


342 


193 


639 


120 


1.32 


257 


382 


202 


515 


1.304 


469 


1, 550 


70 


13 


62 


126 


48 


184 



39 


12 


280 


68 


380 


5 


251 


152 


71 


181 


12 


3 


53 


31 


28 


7 


1 


221 


71 


254 


64 


100 


1,049 


339 


1,960 


.336 


250 


.3,935 


1.093 


8, 743 


31 


91 


345 


210 


723 


31 


2 


194 


79 


417 


10 


7 


133 


36 


426 


363 


293 


2,278 


817 


.3,269 


19 


7 


194 


120 


421 


36 


4 


217 


70 


263 


20 


49 


202 


148 


632 


26 


98 


264 


123 


591 


319 


238 


1.679 


1,050 


1,604 


5 


1 


78 


31 


219 



41 


78 1 


41 


99 


61 


261 


242 


575 


139 


858 


254 


498 


1,314 


3,142 


30 


113 


19 


272 


25 


135 


468 


535 


41 


285 


69 


704 


98 


370 


28 


226 


59 


445 


86 


665 


41 


183 


17 


397 


9 


174 


27 


209 


344 


776 



Auto 
theft 



250 
558 
450 
104 
91 



103 



Table 35. — Number of offenses known to the police, 1946, cities over 

pop ulation — Continued 



,000 in 





Murder, 
nonneg- 
ligent 
man- 
slaughter 


Robbery 


Aggra- 
vated 
assault 


Bur- 
glary- 
breaking 

or 
entering 


Larceny 


—theft 


Auto 
theft 


City 


$50 and 
over 


Under 
$50 






12 

15 

86 

274 

22 

3.908 

723 

12 

6 

19 

14 

20 

63 

1 

14 


28 
18 
63 
164 
23 

2,210 

607 

8 

2 

50 

77 
3 

36 
5 
4 

1 

5 
1 
4 


225 
271 
550 
1,504 
227 

12, 055 

2,457 

272 

175 

231 

224 
411 
399 
141 
135 

102 

175 
97 
93 
49 

144 
59 

131 
85 
96 

800 
101 
132 

1,984 

278 

74 

39 

106 

803 

1,208 

78 
526 

86 
138 

96 

572 
131 
156 
128 
315 

82 
1,214 

91 

2,260 

113 

628 
180 
176 
209 
148 

794 

70 

1.312 

133 
71 

557 
117 
271 
4,950 
354 


111 
144 

(') 
0) 
80 

11,669 

1. 836 

101 

52 

182 

87 
180 
254 
167 

70 

46 
100 
20 
45 
(') 

39 
20 
38 
45 

8 

576 

26 

42 

1,203 

388 

34 

36 

54 

849 

1,008 

30 
155 
38 
• 51 
20 

60 
33 
48 
148 
91 

15 

610 

34 

1,014 

49 

175 
62 
51 
50 
16 

195 
29 

833 
58 
42 

202 

77 
(') 

0) 
114 


424 
1,116 

1.226 

2,896 

259 

17, 186 

1,977 

392 

228 

584 

360 

777 
665 
554 
358 

350 
312 
201 
401 
195 

254 
117 
236 
216 

48 

1,431 
146 
197 

1,427 
617 

73 

148 

373 

3,757 

1,857 

234 
418 
214 
193 
148 

401 
157 
438 
496 
212 

135 
1,187 

172 
1,600 

438 

1,013 
389 
269 
177 
145 

1,326 
152 

1,371 
143 
176 

560 
122 
510 
12, 726 
324 


97 


Lincoln Nebr 




121 


Little Rock, Ark 

Long Beach, Cahf 


15 
10 


329 
941 
99 


Los Angeles, Calif 

Louisville. Ky 


116 
51 

1 
5 

6 
3 

13 
2 

1 


8,869 

1,519 

91 


Lower Merion Twp., Pa 

Lubbock, Tex . . 


37 

81 


Lynchburg, Va 

Lynn, INIass 


71 
173 




187 


Madison, Wis 


91 


Maiden, Mass 

Manchester N H 


69 
67 


Mansfield Ohio 


4 


18 
14 
8 
3 

25 
13 
14 

5 

1 

346 
7 

15 
317 

25 

2 

4 

5 

75 

161 

7 
65 

6 
20 

3 

34 

8 
30 
18 
12 

2 

306 

8 

459 

5 

48 
13 
14 
4 
13 

39 

8 

409 

21 

13 

42 

7 

7 

1,737 

29 


98 




55 


Marion Ohio - . . - 




40 






26 


Massillon Ohio 


4 


"3 
31 

7 


37 




39 


McKeesport, Pa 

Med ford Mass 


5 
1 


81 
34 


lVrplrni?p Mnss 


8 


Memphis, Tenn 

Meriden, Conn 

Meridian, Miss - - - 


44 

1 
4 
18 

1 

2 
2 
4 
4 
10 

2 

25 
2 

7 
1 

13 
3 


601 

2 

104 

425 

5 

10 

I 
106 
47 


898 
49 
45 


Miami, Fla 


725 


Miami Beach, Fla 


113 




19 


Middletown Conn 


22 




76 


Milwaukee, Wis 


1,045 


Minnpartnlis Minn 


908 




27 


Mobile, Ala 


700 

1 

20 

12 

145 
16 
42 
8 
14 


307 


Moline, 111 


58 




65 


Montclair, N. J - 


41 




187 




79 


M^uncie Ind 


167 




4 
3 


128 




42 


Nashua N H 


27 


Nashville, Tenn 


46 

2 

31 

1 

2 

1 
1 


173 
2 

493 
2 

10 
4 

30 
3 
4 

29 
15 
571 
30 
14 

150 

25 

3 

2,897 

101 


722 


New A-lbany, Ind 


58 




1,686 


Newark, Ohio 


54 




236 


New Britain, Conn 


67 


New Brunswick, N. J 


154 




77 


New Castle, Pa 




103 




2 


244 




52 


New Orleans La 


75 
6 


1,174 


Newport, Ky - - 


55 




53 




7 
2f 


167 


New Rochelle, N. Y 


48 


Newton Mass 


90 


New York, N. Y.2 


346 
2 


13, 021 


Niagara Falls, N. Y 


215 



See footnotes at end of table. 



104 

Table S5.— Number of offenses known to the police, 1946, cities over 25,000 in 

population — Continued 



City 



Norfolk, Va 

Norristown, Pa 

North Bergon, N. J. 

Norwalk, Conn 

Norwood, Ohio 



Oakland, Calif... 

Oak Park, 111 

Ogden, Utah 

Oklahoma City, Okla. 
Omaha, Nebr 



Orange, N. J 

Orlando, Fla 

Oshkosh, Wis_^. 
Ottumwa, Iowa_ 
Owensboro, Ky 



Paducah, Ky 

Parkersburg, W. Va. 

Pasadena, Calif 

Passaic, N. J 

Paterson, N. J 



Pawtucket, R. I 

Pensacola, Fla 

Peoria, 111 

Perth Amboy, N. J. 
Petersburg, Va 



Philadelphia, Pa_ 

Phoenix, Ariz 

Pittsburgh, Pa... 
Pittsfield, Mass.. 
Plainfield, N. J.- 



Pontiac, Mich 

Port Arthur, Tex . 
Port Huron, Mich_ 
Portland, Maine. - 
Portland, Oreg 



Portsmouth, Ohio... 

Portsmouth, Va 

Poughkeepsie, N. Y 

Providence, R. 1 

Pueblo, Colo 



Quincy, 111 

Quincy, Mass. 
Racine, Wis. . 
Raleigh, N. C_ 
Reading, Pa. . 



Revere, Mass . 
Richmond, Ind_ 
Richmond, Va . 
Riverside, Calif. 
Roanoke, Va 



Rochester, Minn 

Rochester, N. Y 

Rockford, 111 

Rock Island, 111 

Rocky Mount, N. C. 



Rome, Ga 

Rome, N. Y 

Royal Oak, Mich. 
Sacramento, Calif. 
;Saginav7, Mich 



St. Joseph, Mo 

St. Louis, Mo 

St. Paul, Minn 

St. Petersburg, Fla. 
Salem, Mass 



Murder, 
nonneg- 
ligent 
man- 
slaughter 




Robbery 



354 

5 

1 

4 

11 

777 
16 
43 

179 

78 

24 

21 

1 

18 
14 

19 
5 
69 
17 
42 

25 
28 
117 
10 
21 

1,002 

85 

612 

5 

2 

57 
7 
6 

35 
530 

20 
71 
4 
108 
41 

10 
11 
12 



18 

8 

230 

9 

16 

1 
40 
15 



Aggra- 
vated 
assault 



2 


9 


3 


8 




2 


8 
2 


309 
54 


2 
87 
5 
6 
2 


26 
592 
106 

19 
9 



317 
23 

2 
19 

1 

532 
1 
37 
114 
110 

57 
24 



45 
2 

28 
52 
78 

46 
30 
156 

5 

78 

787 
62 

272 
3 
19 

29 
10 
8 
12 
224 

14 
180 

24 

67 
75 

1 

1 



Bur- 
glary- 
breaking 

or 
entering 



15 

364 

3] 

93 



1,309 
53 
78 
62 
107 

2,548 
169 
299 

1,315 
690 

170 
265 
71 
125 
152 

222 

98 
504 
227 
551 

219 

248 

614 

97 

139 

4,542 
527 

2,590 
119 
64 

258 
80 
106 
391 



149 

384 

143 

1,340 

368 



214 
196 
187 
258 



1,196 
188 
191 

32 

777 
216 



Larceny— theft 



$50 and 
over 



937 
10 
37 
30 
17 

613 
72 
261 
297 
390 

58 

164 

42 

29 

77 

41 

22 

418 

100 

161 

132 
90 

187 



137 

1,458 

251 

647 

26 

92 

182 
35 
67 

174 
1,423 

78 
130 

72 

480 

71 

27 
48 
86 
35 
52 

34 
42 
90) 
124 
139 

28 
273 
123 



Onlv 8 months received 
55 



85 

34 
112 
71 
28 



Under 

$50 



62 
110 
166 
153 

4,833 
248 
1,182 
3,176 
1,519 

217 
591 
656 
119 
402 

■329 

205 

1,195 

284 

418 

570 
512 
950 
438 
435 

1,430 

1,668 

1,024 

197 

310 



240 

368 

679 

4,438 

437 
469 
332 
1,715 
416 

522 

438 
717 
147 
427 

105 
101 
2,697 
617 
379 

260 

1,563 

714 



98 


37 


318 


53 


3 


119 


67 


37 


312 


95 


21 


291 


806 


760 


2,132 


364 


136 


1,191 


454 


99 


609 


1,829 


(•) 


5,205 


850 


312 


2,175 


353 


218 


838 


107 


18 


184 



See footnotes at end of table. 



105 



Table 35. 



Number of offenses known to the police, 1946, cities over 25,000 in 
population — Continued 



City 



Salem, Oreg 

Salt Lake City, Utah. 

San Angelo. Tex 

San Antonio, Tex 

San Bernardino, Calif. 



San Diego, Calif 

San Francisco, Calif. . 

San Jose, Calif 

Santa Ana, Calif 

Santa Barbara, Calif- 



Santa Monica, Calif- 
Savannah, Ga 

Schenectady, X. Y . 

Scranton, Pa 

Seattle, Wash 



Sharon, Pa 

Sheboysan, Wis 

Shreveport, La 

Sioux City, Iowa 

Sioux Falls, S. Dak. 



Somerville, Mass.. 
South Bend, Ind-. 
South Gate, Calif. 
Spartanburg, S. C. 
Spokane, Wash... 



Springfield, 111. .. 
Springfield, Mass. 
Springfield, Mo.. 
Springfield, Ohio. 
Stamford, Conn... 



Steubenville, Ohio. 

Stockton, Cahf 

Superior, Wis 

Syracuse, N. Y 

Tacoma, Wash 



Tampa, Fla 

Taunton, Mass... 

Teaneck, N. J 

Terre Haute, Ind. 
Toledo, Ohio 



Topeka, Kans 

Torrington, Conn. 

Trenton, N. J 

Troy, X. Y 

Tucson, Ariz 



Tulsa, Okla 

Tuscaloosa, Ala 

Tyler, Tex 

Union City, X. J 

University City, Mo. 



Upper Darby, Pa- 

Utica, X. Y 

Waco, Tex 

Waltham, Mass-.. 
Warren, Ohio 



Warwick, R.I 

Washington, D. C. 
Washington, Pa.-. 
Waterbury, Conn. 
Waterloo, Iowa 



Watertown, Mass 
Wat^rtown, X'. Y. 

Waukegan, 111 

Wausau, Wis 

Wauwatosa, Wis.. 



Murder, 
noimeg- 
ligent 
man- 
slaughter 



Robbery 



15 

81 

15 

209 

67 

236 

1,642 

37 

29 

18 



17 
721 

5 
1 

8 
40 
4 

25 
59 
24 
12 
104 

35 
15 
20 
35 
11 

38 

240 

1 

44 

97 

84 

2 

27 

221 

29 



71 
13 
45 

163 

18 



4 
.587 

3 
17 
22 



Aggra- 
vated 
assault 



3 

27 

56 

465 



162 

715 

12 

11 

18 

84 
123 
20 
63 
142 



47 
19 
3 

2 
64 

6 
43 

5 

13 
34 
16 
30 
25 

60 
22 
1 
17 
33 

211 
Only 



Bur- 
glary- 
breaking 

or 
entering 



189 
881 
130 
1.493 
436 



2.704 
273 
142 
181 



151 
194 

282 
3,081 

42 
.53 
152 
402 
108 

393 
575 
231 
1.39 
987 

225 
378 
412 
266 
189 

140 
620 

77 
604 



Larceny— theft 



$50 and 
over 



411 

35 

606 

236 

766 

1. 925 

50 

194 

119 

464 

693 

95 

107 

1.324 

26 
24 

118 
188 
114 

73 

285 
138 
104 
189 

118 

182 

148 

71 

1,35 

49 
674 

26 
429 
365 



Under 
$.50 



839 391 

months received 



19 
217 



73 

25 
48 

70 
103 
30 



16 

9 

130 

1 
12 



862 
2.436 

246 
2,498 

755 

2. .321 

9.165 

1,608 

878 

653 

1.221 

1,270 

413 

418 

4,658 

117 
311 
626 

875 
503 

300 

1.249 

370 

301 

2,077 

655 
649 
720 
533 
.305 

179 
1,284 

340 
1,761 
1,729 

1,111 



55 


14 


36 


226 


43 


524 


1,479 


727 


2,890 


486 


81 


735 


51 


14 


103 


627 


240 


523 


332 


115 


163 


284 


288 


1,212 


1,245 


740 


1,780 


194 


108 


279 


87 


14 


201 


197 


74 


144 


106 


74 


181 


191 


49 


313 


230 


126 


527 


172 


57 


562 


91 


32 


359 


169 


66 


410 


60 


87 


171 


2,836 


1.444 


4. .306 


164 


22 


82 


344 


110 


353 


226 


47 


728 


93 


36 


121 


111 


51 


343 


63 


43 


1.55 


38 


17 


260 


39 


14 


134 



106 



Table 35. — Number of offenses known to the police, 1946, 

population — Continued 



cities over 25,000 in 



City 



West Allis, Wis 

West Hartford, Conn. 
West Haven, Conn___ 
West New York, N. J. 
West Orange, N. J 



West Palm Beach, Fla. 

Wheeling, W. Va 

White Plains, N. Y_-.- 

Wichita, Kans 

Wichita Falls, Tex 



Wilkes-Barre, Pa._ 
Wilktnsburg, Pa.- 
Williamsport, Pa - 
Wilmington, Del- 
Wilmington, N. C. 



Winston-Salem, N. C. 

Woodbridge, N. J 

Woonsocket, K. 1 

Worcester, Mass 

Wyandotte, Mich 



Yakima, Wash 

Yonkers, N. Y 

York, Pa 

Youngstown, Ohio. 
Zanesville, Ohio 



Murder, 
nonneg- 

ligent 

man- 
slaughter 







Bur- 


Larceny— theft 




Aggra- 


glary- 






Robbery 


vated 


breaking 








assault 


or 


$50 and 


Under 






entering 


over 


$50 


5 


3 


56 


33 


586 


1 
12 




59 
126 


31 
34 


87 
81 


2 


4 


1 


85 


22 


54 


5 


1 


43 


37 


93 


24 


87 


273 


183 


495 


17 


7 


224 


56 


168 


3 


58 


88 


63 


246 


33 


29 


845 


202 


1. 505 


22 


72 


280 


206 


887 


13 


14 


128 


106 


257 


9 


9 


89 


16 


115 


4 


4 


90 


26 


337 


103 


13 


557 


356 


1,198 


40 


642 


306 


117 


436 


41 


204 


466 


173 


557 


6 


3 


88 


24 


104 


5 


2 


180 


30 


238 



Auto 
theft 





Only 10 


months received 




5 
19 




64 

277 


27 

284 


184 
1,104 


13 


21 


21 


■ 248 


47 


509 


21 


14 


140 


64 


551 


173 


58 


590 


124 


932 


34 


6 


212 


50 


361 



46 
48 
20 
44 
17 

116 

59 

87 

208 

232 

122 

37 

49 

379 

111 

184 

28 



52 

216 
176 
129 
374 
118 



' Larcenies not separately reported. Figure listed includes both major and minor larcenies. 
2 Figures include offenses committed by juveniles; this is in accord with the uniform reporting i)roceduro 
followed by other cities. 

Supplement to Return A Data 

More than $96,000,000 was taken by thieves during 1946 in 295 
cities with over 25,000 inhabitants representing a combined popula- 
tion of 32,865,574 covered in an analysis of supplementary crime 
reports received by the FBI. The figures include 26,484 robberies 
at an average value of $160 per holdup, 142,032 burglaries in which 
the average value of the loot was $133, 84,252 automobile thefts at 
$638 per car and 326,878 larcenies with an average of $59 per crime. 
The police, on the other hand, recovered 94.7 percent of the stolen 
cars and 21.3 percent of other stolen property. 

The heaviest robbery increases in 1946 were among those involving 
business establishments. These crimes rose 45.0 percent in the 295 
cities represented in the following tabulations. As a result of a 15.2 
percent increase in the total number of robberies and an 8.8 percent 
increase in the average value of property stolen per offense, the total 
loot taken in robberies rose 26.1 percent in 1946. 

Increases w^ere recorded in burglaries of all types as follows: Resi- 
dence — night, 11.9 percent; residence — ^day, 6.2 percent; nonresi- 
dence — night, 10.0 percent; and nonresidence — day, 12.4 percent. 
These increases were accompanied by a 12.7 percent increase in the 



107 

value of property stolen in the average burglary with the result that 
the total value of property stolen in burglaries in 1946 showed a rise 
of 24.2 percent. 

All types of larceny increased except pocket-picking and purse- 
snatching which represent only 4 percent of the total thefts. The 
largest increase among larcenies was for shoplifting which rose 33.5 
percent in 1946. The total larcenies in the 295 cities represented in 
this study increased 8.4 percent and the average value of the property 
stolen rose 9.3 percent. This resulted in a 17.5 percent increase in 
the total value of the property taken in larceny cases. 

The decrease in the number of automobile theft cases (5.8 percent) 
was nearly offset by the increase in the average value of the car taken 
(5.5 percent) with the result that the total value of automobiles 
stolen showed a decline in 1946 of only 0.7 percent. 



January-December 


1945 


1946 


Number of automobiles stolen 


89, 445 

84, 985 

95.0 


84, 252 
79, 748 


Percent recovered 


94.7 







Forcible rapes which constituted 64.6 percent of the 4,143 rape 
cases reported by the 295 cities represented in this study increased 
4.0 percent while statutory cases (no force used — victim under age 
of consent) increased 9.7 percent. 

Table 36. — Number of known offenses with divisions as to the nature of the criminal 
act, time and place of commission, and value of property stolen, 1945-4^; 295 
cities over 25,000 iii population: total population, 32,865,574 





[Population figures from 1940 decennial censusl 








Classification 


Number 


of offenses 


Percent 




1945 


1946 


change 


Total 


RAPE 


3,909 


4,143 


+6.0 








Forcible .. 


2,573 
1,336 


2,677 
1,466 


+4.0 


Statutory 


+9.7 




ROBBERY 




Total 


22,995 


26,484 


+15.2 








Highway:. 


16, 930 

3,410 

655 

86 

994 

38 

882 


18, 093 

4,994 

888 

168 

1,181 

26 

1,134 


+6.9 


Commercial house 


+46. 5 


Oil station 


+35.6 


Chain store - .- 


+95.3 


Residence 


+18.8 


Bank 


1 —31 6 


Miscellaneous 


+23.6 









1 Although the 295 cities represented showed a decrease in bank robberies, other available information 
indicates a substantial increase in bank robberies for the Nation as a whole, many occurring in the smaller 
communities from which supplementary returns are not received. 



108 

Table 36. — Number of known offenses with divisions as to the nature of the criminal 
act, time and place of commission, and value of property stolen, 1945-46; 295 
cities over 25,000 in population; total population 32,865,574 — Continued 

[Population figures from 1940 decennial censusl 



Classification 



Number of offenses 



1945 



1946 



Percent 
change 



Total. 



BURGLARY— BREAXING OR ENTERING 



Residence (dwelling): 

Committed during night 

Committed during day 

Nonresidence (store, office, etc.): 

Committed during night 

Committed during day. _ _ 



Total 



LARCENY— THEFT (EXCEPT AUTO THEFT) 

(Grouped according to value of article stolen) 



.$50 and over. 

.$5 to .$50 

Under .$5 .. 



Total- 



LARCENY— THEFT 

(Grouped as to type of offense) 



Pocket-picking 

Purse-snatching .' 

Shoplifting 

Thefts from autos (exclusive of auto accessories). 

Auto accessories 

Bicycles 

All others 



142, 032 



36, 402 
17.921 



i9, 284 
5,375 



40,738 
19, 024 



76,230 
6,040 



301. 659 



328, 878 



63,634 
191,901 
46,124 



75, 1.38 
207. 087 
44. 653 



301,659 



326, 878 



5. 421 
8.910 
8, .347 
49, 594 
34, 805 
52, 282 
142, .300 



5, 169 
7,901 
11,143 
59, 204 
40,016 
52, 863 
150, 582 



+10.1 



+11.9 

+6.2 



+10.0 
+12.4 



+8.4 



+18.1 
+7.9 
-3.2 



+8.4 



-4.6 
-11.3 
+33. 5 
+ 19.4 
+15.0 
+1.1 
+5.8 



Table 37. — Value of property stolen, by ti/pe of crime, 1945-46: 295 cities over 
25,000; total population, 32,865,574 

[Population figures from 1940 decennial census. All values have been rounded off to even dollars] 





Number of offenses 


Value of properly stolen 


Average value per offense 


Classification 


1945 


1946 


Percent 
change 


1945 


1946 


Percent 
change 


1945 


1946 


Percent 
change 


Total 


543,081 


579, 648 


+6.7 


$89. 098, 622 


$96, 163, 861 


+7.9 


$164 


$168 


+1.2 


Robbery 

Burglary 

Larceny— theft 

Auto theft 


22, 995 
128,982 
301, 659 

89, 445 


26, 484 
142,032 
326, 878 

84, 252 


+ 15.2 

+ 10.1 

+8.4 

-5.8 


3, 368, 809 
15, 205, 780 
16,371,597 
54, 152, 436 


4, 246, 681 
18, 889, 638 
19, 238, 999 
53, 788, 343 


+26. 1 

+24.2 

+17.5 

-.7 


147 

118 

54 

605 


160 

133 

59 

638 


+8.8 

+12.7 

+9.3 

+5.5 







Table 38. — Value of property stolen and value of property recovered by type of 
property, 1945-46; 294 cities over 25,000; total population, 32,692,509 

[Population figures are from 1940 decennial census. All values have been rounded off to even dollars] 





1945 


1946 


Type of property 


Value of 

property 

stolen 


Value of 
property 
recovered 


Percent 
recovered 


Value of 

property 

stolen 


Value of 
property 
recovered 


Percent 
recovered 


Total 


88,061,719 


59, 198, 805 


87.2 


95, 129, 384 


58,885,904 


61.9 




11,587,713 
7, 039, 491 
1,469,616 
3, 167, 497 
53, 562, 252 
11,235,150 


1,970,370 

1, 597, 207 

178, 201 

660, 5.54 

51,135,802 

3, 656, 671 


17.0 
22.7 
12.1 
20.9 
95.5 
32.5 


13, 437, 592 
8,515,902 
1,873,943 
4, 508, 384 
53,383,569 
13, 409, 994 


2,139,914 

1,675,149 

196, 412 

816, 289 

49,997,747 

4,060,393 


15.9 


Jewelry and precious metals.. 

Furs .. 


19.7 
10.5 


Clothing . 


18.1 


Locally stolen automobiles 

Miscellaneous .. 


93.7 
30.3 



109 




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Rural Crime Trends, 1945-46 

Crime in the rural areas rose 14.1 percent during 1946 as compared 
with a 7.4 percent rise in the urban communities, and in each crime 
classification the rural upswing exceeded that in the cities. As in the 
cities, murders and robberies showed the greatest increase but the 
rural upswing (murder, 28.3 percent and robbery, 26.3 percent) was 
much greater than the rise in the urban areas (murder, 17.3 percent 
and robbery, 15.6 percent). 

In one classification, auto theft, the urban communities reported a 
4.9 percent decrease while a 10.3 percent increase was registered in the 
rural areas. Rapes in the rural areas were up 17.8 percent as compared 
with a 4.5 percent rise in the cities, and the increase in negligent man- 
slaughters in the rural areas (16.1 percent) was much sharper than that 
in the urban communities (6.4 percent). 

Larcenies in the rural areas during 1946 rose 13.1 percent as com- 
pared with an 8.6 percent rise in the cities. Rural burglaries and 
aggravated assaults increased 15.3 and 13.4 percent, respectively, as 
compared with urban increases in these crimes of 11.3 and 11.4 per- 
cent in that order. 

There is presented in table 39 the nmnber of offenses reported during 
1945 and 1946 by 1,381 sheriffs, 105 rural village officers, and 12 State 
police organizations, representing a rural population of 32,661,822. 

Table 39. — Trends in offenses known, rural areas, 1945-46 

[Based on reports of 1,381 sheriffs, 105 rural village officers, and 12 State police organizations representing a 
combined population of 32,661,822. Population figures from 1940 decennial census] 



Offense 



Total : 

Murder and nonnegligent manslaughter 

Manslaughter by negligence 

Rape 

Robbery 

Aggravated assault 

Burglary— breaking or entering 

Larceny— theft 

Auto theft 



Number of offenses 


1945 


1946 


130, 846 


149. 330 


1,657 


2,126 


1,220 


1,416 


3.166 


3,730 


4.801 


6,065 


9.743 


11,048 


3(). 634 


42, 241 


53, 781 


60, 822 


19, 844 


21,882 



Percent 
change 



+14.1 

+28.3 
+16.1 
+17.8 
+26.3 
+13.4 
+15.3 
+13.1 
+10.3 



Rural Crime Rates, 1946 

The number of offenses reported during 1946 by 1,487 sheriffs, 114 
rural village officers and 12 State police organizations representing a 
combined population of 34,316,620, together with the rate per 100,000 
inhabitants is presented in table 40 in order that the information might 
be available to the administrators of law enforcement agencies policing 
the rural areas and other interested individuals. 

It will be seen that generally the rural rates for offenses against the 
person are comparable to the national averages for urban communities 
while the other oft'ense classes are generally lower in the rural areas. 



Ill 



It should be observed, however, that some incompleteness probably 

exists in the rural reporting with reference to the less serious crimes. 

Some of the rural agencies whose reports are included in table 40 list 

very few crimes and it is likely that some of the reports are based on 

arrest records rather than on a record of offenses reported. The 

figures, therefore, should be considered conservative. 

Table 40. — Offenses known, rural areas, number and rate per 100,000 inhabitants, 

1946 

[Based on reports of 1,487 sheriffs, 114 rural village officers, and 12 State police organizations representing a 
combined population of 34,316,620. Population figures from 1940 decennial census] 





Criminal 
homicide 


Rape 


Rob- 
bery 


Aggra- 
vated 
assault 


Bur- 

&-: 

ingor 
enter- 
ing 


Lar- 
ceny — 
theft 




Offense 

1 


Mur- 
der, 
non- 
negli- 
gent 
man- 
slaugh- 
ter 


Man- 
slaugh- 
ter by 
negli- 
gence 


Auto 
theft 


Number of offenses known 

Rate per 100,000 


2,391 
6.97 


1,570 
4.58 


4,006 
11.67 


6,563 
19.1 


12, 091 
35.2 


44, 561 
129.9 


64, 514 
188.0 


23,242 

67.7 







Offenses Known in Territories and Possessions of the United States 

The available data concerning crimes committed in Territories and 
possessions of the United States are presented in table 41. Included 
are the figures for the First Judicial District of Alaska; Honolulu City 
and the counties of Honolulu, Hawaii, Kauai, and Maui in the Terri- 
tory of Hawaii; the Isthmus of Panama, C. Z.; and Puerto Rico. 
The tabulation is based on offenses reported by law enforcement 
officials policing both the urban and rural areas except that the data 
for Honolulu City has been segregated from the figures for Honolulu 
County. 

Table 41. — Number of offenses known in United States Territories and possessions, 

1946 
[Population figures from 1940 decennial census] 





Murder, 
normeg- 
ligent 
man- 
slaughter 


Robbery 


Aggra- 
vated 
assault 


Bur- 
glary- 
breaking 
or enter- 
ing 


Larceny— theft 


Auto 
theft 


Jurisdiction reporting 


Over 
$50 


Under 

$50 


Alaska: First judical division (Juneau), 
population, 25,241; number of offenses 


7 

2 
14 
2 


3 

2 
64 
16 


7 

13 

100 

17 
5 

7 

15 
716 


19 

123 

1,049 

194 

27 

108 

166 
1,872 


24 

11 
339 
40 
8 
32 

128 
583 


32 

223 
1,960 
178 
71 
241 

1,088 
5,254 


1 


Hawaii: 

Hawaii County, population, 73,276; 

number of offenses known 

Honolulu City, population, 179,326; 

number of offenses known 

Honolulu County, population, 

78,898; number of offenses known. 
Kauai County, population, 35,818; 

number of offenses known 


25 

429 

61 

14 


Maui County, population, 55,980; 

number of offenses knowTi 

Isthmus of Panama: Canal Zone, popu- 
lation, 51,827; number of offenses 
known 


2 

2 

294 


1 

37 
99 


12 

71 


Puerto Rico: population, 1,869,255; 
number of offenses known 


59 







112 




113 



Estimated Number of Major Crimes in the United States, 1945-46 

B}^ the end of 1946 serious crime in the United States soared to an 
estimated 1,685,203, the largest total recorded in the past decade. 
During the average day, 36 persons were slain, 33 were raped, and 185 
others feloniously assaulted. 

Although a comparatively small percentage of the total offenses were 
classed as violent crimes against persons it is observed that every 5.7 
minutes in 1946 there was a criminal homicide, rape, or assault with 
intent to kill. 

Each average day left 172 persons robbed, 981 burglaries on the 
police records, 630 cars stolen, in addition to 2,580 miscellaneous lar- 
cenies of various types. The estimates are based on monthly reports 
received from over 2,200 cities representing a combined population in 
excess of 67,000,000. Although the larceny classification includes 
thefts of property of small value the estimated total of major crimes 
does not include many miscellaneous serious offenses, such as embezzle- 
ment, fraud, arson, receiving stolen property, carrying concealed 
weapons, and the like. It is, therefore, believed that the estimated 
totals as presented in table 42 are conservative. 

Table 42. — Estimated number of major crimes in the United States, 1945-^6 



Offense 


Number of offenses 


. Change 


1945 


1946 


Number 


Percent 


Total 


1,565,641 


1,686,203 


+119,662 


+7.6 






Murder anri nnnnegligent manslanghter 


6,847 

4,387 

11, 537 

54, 279 

59, 807 

321, 672 

865, 521 

241, 491 


8,442 
4,701 
12, 117 
62, 782 
67, 512 
357, 991 
941, 738 
229, 920 


+1, 595 

+314 

+580 

+8, 503 

+7, 705 

+36, 319 

+76, 217 

-11,571 


+23.3 


Manslaughter by negligence .- .__ -_ _ 


+7.2 


Rape 


+5.0 


Robbery 


+15 7 


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


+12.9 


Burglary 


+11 3 


Larceny. .... . . .. 


+8.8 


Auto theft 


-4.8 







114 




DATA COMPILED FROM FINGERPRINT RECORDS 

Source of Data 

During 1946 the FBI examined 645,431 arrest records, as evidenced 
by fingerprint cards, in order to obtain data concerning the age, sex, 
race, and previous criminal history of the persons represented. The 
compilation has been limited to instances of arrests for violations of 
State laws and municipal ordinances. In other words, fingerprint 
cards representing arrests for violations of Federal laws or representing 
commitments to any type of penal institutions have been excluded 
from this tabulation. 

The number of fingerprint records examined exceeded the 543,852 
prints hajidled during 1945 by 18.7 percent. In fact, the arrest 
records examined last year exceeded the number received during any 
year of the past decade. The arrest records received during the 
past 10-year period numbered as follows: 



Year 


Number of 
arrests 


Year 


Number of 
arrests 


1937 


520. 153 
554, 376 
576, 920 
609. 013 
6;i0, 568 


1942 


585, 988 


1938 


1943 


490 764 


19.39 


1 1944 


488, 979 


1940 


1945 


543, 852 


1941 


1946 


645, 431 









The figures for the separate sexes and selected age groups are 
presented in tables 46 and 47. 

The tabulation of data from fingerprint cards obviously does not 
include all persons arrested, since there are individuals taken into 
custody for whom no fingerprint cards are forwarded to Washington. 
Furthermore, data pertaining to persons arrested should not be 
treated as information regarding the number of offenses committed, 
since two or more persons may be involved in the joint commission of 
a single offense, and on the other hand one person may be arrested 
and charged with the commission of several separate crimes. 
Offense Charged 

More than 41 percent (266,137) of the records examined during 
1946 represented arrests for major violations. Persons charged with 
murder, robbery, assault, burglary, larceny, and auto theft numbered 
188,916, constituting 29.3 percent of the total arrest records examined. 

Sex 

Of the 645,431 arrest records examined, 10.7 percent represented 
the arrests of women. Female arrest prints decreased 18.3 percent, 
from 84,144 during 1945 to 68,742 in 1946. 

(115) 



116 



Fingerprint cards representing arrests of males numbered 576,689, 
a 25.4 percent increase over the 459,708 records received during 1945. 

Table 43. — Distribution of arrests by sex, 1946 
[Data compiled from fingerprint records] 



Offense charged 


Number 


Percent 


Total 


Male 


Female 


Total 


Male 


Female 


Total 


645, 431 


676, 689 


68, 742 


100.0 


100.0 


100 






Criminal homicide 


6,480 
18, 980 
51, 283 

35, 003 
56,718 
20, 452 
12, 787 

3.198 
709 

6.387 

8,308 
10,251 
16, 256 

2,807 
12, 065 

11, 327 
7,086 

30. 960 

6.544 

81 

5.742 

44, 299 

150, 768 

36, 951 

12. 964 
42, 971 

4,570 
29, 484 


5,781 
18, 106 
46, 925 
34, 130 
49,390 
20, 024 

11, 476 
2,886 

626 
5,519 
8,308 
3,935 

12, 656 
2,522 

11, 565 
10, 628 

6,113 

29, 777 

6,412 

79 

5,562 

38, 480 

137, 883 

29, 348 

12, 061 
38, 452 

3,903 
24, 142 


699 

874 
4,358 

873 
7,328 

428 
1,311 

312 
83 

868 


1.0 
2.9 
7.9 
5.4 
8.8 
3.2 
2.0 

.5 

.1 
1.0 
1.3 
1.6 
2.5 

.4 
1.9 
1.8 
1.1 
4.8 
1.0 
0) 

.9 
6.9 
23.3 
5.7 
2.0 
6.7 

.7 
4.6 


1.0 
3.1 
8.] 
5.9 
8.6 
3.5 
2.0 

.5 

.1 
1.0 
1.4 

.7 
2.2 

.4 
2.0 
1.8 
1.1 
5.1 
1.1 

0) 

1.0 
6.7 
23.9 
5.1 
2.1 
6.7 
.7 
4.2 


1 


Robbery. 


1.3 


Assault 


6 3 


Burglary — breaking or entering . 


1.3 


Larceny— theft 


10.7 


Autotheft 


.6 




1.9 


Stolen property; buying, receiving, etc 


5 




. 1 


Forgery and counterfeiting 


1 3 


Rape... 




Prostitution and commercialized vice 


6,316 

3,600 
285 
500 
699 
973 

1,183 

132 

2 

180 

5,819 
12, 885 

7,603 
903 

4,519 
667 

5,342 


9 2 


other sex offenses _ . 


5.2 


Narcotic drug laws 


4 


Weapons; carrying, possessing, etc. . 


.7 


Offenses against family and children 


1.0 


Liquor laws .. 


1.4 


Driving while intoxicated 


1.7 


Road and driving laws 


.2 


Parking violations 


(1) 


Other traffic and motor- vehicle laws 


.3 


Disorderly conduct .. 


8.5 


Drunkemiess 


18.7 


Vagrancy 


11.0 


Gambling 


1 3 


Suspicion 


6.6 


Not stated 


1 


All other offenses. _ 


7.8 







1 Less than Ho of 1 percent. 

Age 

During 1946, and for the first time since 1938, age 21 predominated 
in the frequency of arrests. Age 19 was first during the years 1939-41 
and during the years 1942-43 age 18 stood out in first place. During 
the last two war years, 1944-45, more persons aged 17 were arrested 
than any other age group. For males and females combined, the 
figures for the groups in which the largest number of arrests occurred 
during 1946 are as follows: 



Age 


Number of 
arrests 


21 
22 
23 
24 
20 


30, 159 
29, 035 
27, 585 
25, 436 
24, 539 



The frequency of male arrests followed the same pattern as above 
in the frequency of arrests. Arrests for females showed the largest 
number occurring at age 22 followed by ages 21, 23, 19, and 24 in 
that order. 



117 



During the past 10 years for males and females combined the age 
groups predominated in the order indicated in the following tabulation : 



1937 


1938 


1939 


1940 


1941 


1942 


1943 


1944 


1945 


1946 


22 


21 


19 


19 


19 


18 


18 


17 


17 


21 


21 


22 


18 


21 


18 


19 


17 


18 


18 


22 


23 


23 


22 


22 


21 


21 


19 


19 


21 


23 


19 


18 


21 


18 


20 


20 


22 


21 


22 


24 


18 


19 


23 


23 


23 


22 


20 


22 


19 


20 



As a group, males under 21 arrested in 1946 showed little change 
from 1945 (+1-6 percent) while females in this age group declined 
33.1 percent, but even so the number of girls under 21 arrested in 
1946 (13,542) exceeded the 1941 figure by 40 percent, while males 
under 21 (95,245) fell short of the 1941 total by 5.8 percent. In this 
connection it may be remembered that the rise in juvenile crime 
among girls during the early war years w as much more pronounced 
than the increase in the arrests of males under 21, and despite a 10.6 
percent decrease in arrests of females under 21 during 1945 and the 
marked decline in 1946, the frequency of arrests for females in this 
lower age group was still at an unusually high level as compared with 
the last peacetime year. 

During 1946, males and females under 21 years of age arrested and 
fingerprinted numbered 108,787, consitituting 16.9 percent of the total 
arrests. In addition, there were 112,215 (17.3 percent) between the 
ages of 21 and 24, making a total of 221,002 (34.2 percent) less than 
25 years old. Arrests of persons 25 to 29 years old numbered 103,725 
(16.1 percent). The resultant total is 324,727 (50.3 percent) less than 
30 years of age. It should be remembered that the number of arrest 
records is doubtless incomplete in the lower age groups because of the 
practice of some jurisdictions not to fingerprint youthful offenders. 

Youths played a predominant part in the commission of crimes 
against property as indicated by the follow^ing figures: During 1946 
there were 154,234 persons of all ages arrested for robbery, burglary, 
larceny, auto theft, embezzlement, fraud, forgery, counterfeiting, 
receiving stolen property, and arson; and 48,586 (31.5 percent) of 
those persons were less than 21 years old. 

The extent of the participation of youths in the commission of 
crimes against property is further indicated by the following figures: 
During 1946 34.2 percent of all persons arrested were less than 25 
years of age. However, persons less than 25 years old numbered 
54.5 percent of those charged with robbery, 60.4 percent of those 
charged with burglary, 46.0 percent of those charge w^ith larceny, 
and 74.6 percent of those charged with auto theft. More than one- 
half (51.5 percent) of all crimes against property during 1946 were 
committed by persons under 25 years of age. 



118 




119 



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120 




121 



Table 45. — Number and percentage of arrests of persons under 25 years of age, 

1946 

[Data compiled from fingerprint records] 



OflEense charged 



Total 
number 
of persons 
arrested 



Number 
under 18 
years of 



Number 

under 21 

years of 

age 



Total 

number 

under 25 

years of 

age 



Percent- 
age 
under 18 
years of 



Percent- 
age 
under 21 
years of 
age 



Total 
percent- 
age 
under 25 
years of 
age 



Total 

Criminal homicide 

Robbery 

Assault 

Burglary— breaking or entering 

Larceny— theft 

Auto theft 

E mbezzlement and fraud 

Stolen property; buying, re- 
ceiving, etc 

Arson 

Forgery and counterfeiting 

Rape 

Prostitution and commercial- 
ized vice,--' 

Other sex offenses 

Narcotic drug laws 

Weapons; carrying, possessing, 

etc 

Offenses against family and 

children 

Liquor laws 

Driving while intoxicated 

Road and driving laws 

Parking violations 

Other traflQc and motor vehicle 

laws 

D isor derly conduct 

Drunkenness 

Vagrancy 

Gambling 

Suspicion 

Not stated 

All other offenses 



645. 431 



18, 980 
51,283 
35. 003 
56, 718 
20, 452 
12, 787 



709 
6,387 



10, 251 
16, 256 
2,807 

12, 065 

11,327 
7,086 

30, 960 

6,544 

81 

5,742 
44, 299 
150, 768 
36.951 
12, 964 
42, 971 

4,570 
29, 484 



37, 833 



108, 787 



221, 002 



5.9 



256 
1,463 
1, 238 
7,535 
6. 351 
4,435 



183 

65 

357 

644 



439 
45 



45 
118 
166 
210 
4 

212 
1,412 
1.052 
1.990 

137 
3,967 

147 
4,235 



5,366 
5,486 

14, 432 

15, 481 
10, 330 

1,128 



125 
1,155 
2,158 

1,221 

2,158 

347 

2,258 

452 

584 

1,640 

1,153 

7 

1,002 
6,395 
7,487 
7,289 

549 
10,200 

606 
8,401 



1,911 
10, 348 

14, 484 
21, 134 
26, 107 

15, 263 
2,963 

1,053 

234 

2,403 

4,138 

3,855 

5,380 

871 

4,822 

1,954 
1.461 
6.436 
2.855 
19 

2,329 
15, 612 
24, 980 
14, 419 

1,798 
19, 134 

1,387 
13, 652 



4.0 
7.7 
2.4 
21.5 
11.2 
21.7 
2.1 

5.7 
9.2 
5.6 
7.8 

1.6 
2.7 
L6 

5.8 

.4 
1.7 

.5 
3.2 
4.9 

3.7 
3.2 

.7 
5.4 
1.1 
9.2 
3.2 
14.4 



16.9 



12.5 
28.3 
10.7 
41.2 
27.3 
50.5 
8.8 

17.8 
17.6 
18.1 
26.0 

11.9 
13.3 
12.4 

18.7 

4.0 
8.2 
5.3 



17.5 
14.4 

5.0 
19.7 

4.2 
23.7 
13.3 
28.5 



1.2 



29.5 
54.5 
28.2 
60.4 
46.0 
74.6 
23.2 

32.9 
33.0 
37.6 
49.8 

37.6 
33.1 
31.0 

40.0 

17.3 
20.6 
20.8 
43.6 
23.5 

40.6 
35.2 
16.6 
39.0 
13.9 
44.5 
30.4 



Table 46. — Arrests, selected age groups, 1937-46, males 
[Data compiled from fingerprint records] 





Number of arrests 


Percent change from previous year 


Years 


Total 1 


Under 18 


18-20 


21-24 


25 and 
over 


Total 


Under 18 


18-20 


21-24 


25 and 
over 


1937 


484, 177 
516. 596 
533, 102 
557, 063 
572, 769 
515. 635 
411,642 
405. 379 
469, 708 
576, 689 


31, 218 

33, 907 
36, 097 

33, 111 

34, 408 

33, 746 
41, 643 
40. 892 
44,667 

34, 393 


56.146 

63, 850 

65, 507 

64, 810 

66, 689 
63, 672 

48. 346 
44, 234 

49, 083 
60, 852 


79,266 
86, 369 
83, 603 
81, 766 
75, 175 
62, 376 
46,649 
48, 817 
58, 623 
96, 324 


316,866 
331, 931 
347, 263 
376, 895 
395, 562 
355, 257 
274, 642 
271, 165 
306, 932 
383, 866 












1938 

1939 

1940 

1941 

1942- 

1943. 

1944. 

1945 

1946 


-f6.7 
+3.2 

+4.5 
+2.8 
-10.0 
-20.2 
-1.5 
+13.4 
+25.4 


+8.6 
+6.5 
-8.3 
+3.9 
-1.9 

+23.4 
-1.8 
+9.2 

-23.0 


+13.7 
+2.6 
-1.1 
+2.9 
-4.5 

-24.1 
-8.5 

+11.0 

+24.0 


+9.0 

-3.2 

-2.2 

-8.1 

-17.0 

-25.2 

+4.6 

+20.1 

+64.3 


+4.8 

+4.6 

+8.5 

+5.0 

-10.2 

-22.7 

-L3 

+13.2 

+25.1 



Total figures include arrests age unknown. 



122 



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123 

Table 47. — Arrests, selected age groups, 19S7-46, females 
[Data compiled from fingerprint records] 





Number of arrests 


Percent change from previous year 


Years 
























Total 1 


Under 18 


18-20 


21-24 


25 and 
over 


Total 


Under 18 


18-20 


21-24 


25 and 
over 


1^37 


35, 976 


1,901 


4,588 


8. 043 


21, 377 












1938 


37. 780 


1,897 


4,771 


8, .540 


22, 527 


+5.0 


-0.2 


+4.0 


+6.2 


+5.4 


1939 


43, 818 


1,946 


5,307 


9,748 


26, 734 


+16.0 


+2.6 


+ 11.2 


+ 14.1 


+ 18.7 


1940 


51, 950 


2,221 


6,156 


11.147 


32. 369 


+18.6 


+14.1 


+ 16.0 


+14.4 


+21.1 


1941 


57, 799 


2,662 


7,013 


12, 495 


35, 480 


+11.3 


+ 19.9 


+ 13.9 


+ 12.1 


+9.6 


1942 


70, 353 


4,176 


10, 892 


15, 290 


39, 877 


+21.7 


+.5fj. 9 


+55. 3 


+22.4 


+ 12.4 


1943 


79, 122 


6,241 


16, 051 


17, 795 


38, 942 


+12.5 


+49.4 


+47.4 


+ 16.4 


-2.3 


1944 


83, 600 


5,798 


16. 838 


19, 849 


41, 050 


+5.7 


-7.1 


+4.9 


+ 11.5 


+5.4 


1945 


84, 144 


4,899 


15, 347 


20, 780 


43. 060 


+.7 


-15.5 


-8.9 


+4.7 


+4.9 


194H 


68, 742 


3. 440 


10, 102 


15,891 


39, 128 


-18.3 


-29.8 


-34. 2 


-23. 5 


-9. 1 



' Total figures include arrests age unknown. 

Criminal Repeaters 

Of all the 645,431 arrest records examined, 350,066 (54.2 percent) 
represented persons who already had fingerprint cards on file in the 
Identification Division of the FBI. For males the percentage 
having prior records was 56.1 and for females the percentage was 
39.0. These figures pertain to fingerprint arrest records and in no 
way relate to the Civil Identification Files of the FBI. 

Arrests Outside of State of Birth 

The 1940 decennial census indicates that 22.4 percent of the native 
population resided outside of their State of birth. Tabulation of 
similar information from the fingerprint records disclosed that 56.4 
percent of all the persons arrested and fingerprinted during 1946 
were arrested outside of their State of birth. The figures for males 
and females were generally quite similar, for males 56.6 percent and 
for females 54.4 percent. 

Race 

Most of the persons represented in this study were members of the 
white and Negro races. Including Mexicans, w4io numbered 19,793, 
members of the white race represented 478,211 of the 645,431 arrest 
records recqived, while 159,172 were Negroes, 5,700 were Indians, 
432 Chinese, 140 Japanese and 1,776 were representatives of other 
races. 



124 



Table 48. — Percentage of persons arrested with previous fingerprint records, 1946 
[Data compiled from fingerprint records] 



Offense 



Narcotic drug laws 

Forgery and counterfeiting 

Vagrancy 

Drunkenness 

Embezzlement and fraud 

Robbery 

Burglary- breaking or entering 

Larceny— theft : 

Assault 

Gambling 

Auto theft 

Liquor laws 

Suspicion 

Arson 



Percent 



77.6 


65.7 


63.3 


62.9 


62.7 


61.0 


57.4 


54.9 


51.7 


51.5 


50.8 


50.1 


50.0 


48.8 



O flense 



Disorderly conduct 

All other offenses 

Stolen property; buying, receiving, etc 
Offenses against family and children^ . 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice. 

Rape 

Criminal homicide 

Driving while intoxicated 

Parking violations ' 

Other traffic and motor-vehicle laws-_- 

Other sex offenses 

Violation of road and driving laws 



Percent 



47.9 
47.7 
47.4 
46.4 
45.4 
44.8 
42.3 
42.1 
42.0 
40.6 
39.2 
33.5 



Only 81 fingerprint cards received representing arrests for violation of parking regulations. 

Table 49.- — Arrests by race, 1946 
[Data compiled from fingerprint records] 





Total, 
all races 






Race 








White 


Negro 


Indian 


Chinese 


Japanese 


All others 


Total 


645, 431 


478, 211 


159, 172 


5,700 


432 


140 


1,776 








6,480 
18, 980 
51, 283 
85, 003 
56, 718 
20, 452 
12, 787 

3,198 

709 

6,387 

8,308 

10,251 
16, 256 
2,807 

12, 065 

11, 327 
7,086 

30, 960 

6,544 

81 

5,742 

44, 299 

. 150, 768 

36, 951 

12, 964 
42, 971 

4,570 
29, 484 


3,559 
11, 503 
29, 173 
24,936 
38, 431 
17, 199 
10, 986 

2,157 

533 

5,365 

5,887 

6,401 

13, 332 

1,773 

5,949 

9,565 

4,311 

28, 018 

5,235 

63 

4,238 
32, 118 
126, 147 
28, 187 

6,017 
30, 487 

3,438 
23, 203 


2,871 
7,318 

21, 662 
9,796 

17, 862 
3,046 
1,732 

1,023 
163 
955 

2,313 

3,719 

2,801 

903 

6,010 

1,713 
2,702 
2,629 
1,276 
18 

1,459 

11,736 

21,449 

8,197 

6,645 

12, 173 

1,039 

5,962 


23 
91 
246 
172 
278 
171 
37 

7 

8 

52 

59 

97 
70 

7 

33 

35 

49 

222 

24 


5 

16 
19 
11 
16 
1 
6 

3 
2 
2 
5 

7 
11 
96 

10 


2 
3 

7 
6 
5 
4 

1 


20 


Robbery 


49 




176 


Burglary— breaking or entering. 

T ,fl rppn V- — t.hpf t 


82 
126 




31 


Embezzlement and fraud 

Stolen property; buying, re- 
ceiving etc - - 


25 
8 




3 


Forgery and counterfeiting 


2 
2 

1 

5 
4 

2 

1 
2 
8 
3 


11 
42 


Prostitution and commercial- 


26 




37 


Narcotic drug laws 


24 


Weapons; carrying, possessing, 
etc . - - 


61 


Offenses against family and 

r>hilrirpTl 


13 




7 
4 
2 


15 


Driving while intoxicated 

Road and driving laws 


79 
4 






Other traffic and motor vehicle 


27 

326 

2,771 

430 

10 
208 

62 
185 


1 
11 
25 
15 
92 
13 

4 
48 


1 

13 
10 

9 
37 

2 


16 




95 


Drunkenness 


366 




113 




163 


Suspicion 


88 




27 




10 


76 







OFFENSE CLASSIFICATIONS 

In order to indicate more clearly the types of offenses included in part I and 
part II offenses, there follows a brief definition of each classification: 

Part I Offenses 

1. Criminal homicide. — (a) Murder and nonnegligent manslaughter includes all 
wilful felonious homicides as distinguished from deaths caused by negligence. 
Does not include attempts to kill, assaults to kill, suicides, accidental deaths, or 
justifiable homicides. Justifiable homicides excluded from this classification are 
limited to the following types of cases: (I) The killing of a felon by a peace officer 
in line of duty; (2) The killing of a hold-up man by a private citizen. (6) Man- 
slaughter by negligence includes any death which the police investigation estab- 
lishes was primarily attributable to gross negligence on the part of some individual 
other than' the victim. 

2. Rape. — Includes forcible rape, statutory rape (no force used — victim under 
age of, consent), assault to rape, and attempted rape. 

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

4. Aggravated assault. — Includes assault with intent to kill; assault by shooting, 
cutting, stabbing, maiming, poisoning, scalding, or by the use of acids. Does not 
include simple assault, assault and battery, fighting, etc. 

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

6. Larceny — theft (except auto theft). — (a) Fifty dollars and over in value; (6) 
under $50 in value — includes in one of the above subclassifications, depending 
upon the value of the property stolen, thefts of bicycles, automobile accessories, 
shoplifting, pocket-picking, or any stealing of property or article of value which 
is not taken by force and violence or by fraud. Does not include embezzlement, 
"con" games, forgery, worthless checks, etc. 

7. Auto theft. — Includes all cases where a motor vehicle is stolen or driven away 
and abandoned, including the so-called joy-riding thefts. Does not include tak- 
ing for temporary use when actually returned by the taker, or unauthorized use 
by those having lawful access to the vehicle. 

Part II Offenses 

8. Other assaults. — Includes all assaults and attempted assaults which are not 
of an aggravated nature and which do not belong in class 4, 

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

10. Embezzlement and fraud. — Includes all offenses of fraudulent conversion, 
embezzlement, and obtaining money or property by false pretenses. 

11. Stolen property; buying, receiving, possessing. — Includes buying, receiving, 
and possessing stolen property as well as attempts to commit any of those offenses. 

12. Weapons; carrying, possessing, etc. — Includes all violations of regulations or 
statutes controlling the carrying, using, possessing, furnishing, and manufac- 

(125) 



126 

taring of deadly weapons or silencers and all attempts to violate such statutes or 
regulations. 

13. Prostitution and commercialized vice. — Includes sex offenses of a commer- 
cialized nature, or attempts to commit the same, such as prostitution, keeping 
bawdy house, procuring, transporting, or detaining women for immoral purposes, 

14. Sex offenses (except rape and prostitution and commercialized vice). — In- 
cludes offenses against chastity, common decency, morals, and the like. Includes 
attempts. 

15. Offenses against the family and children. — Includes offenses of nonsupport, 
neglect, desertion, or abuse of family and children. 

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

17. Liquor laws. — With the exception of "drunkenness" (class 18) and ''driving 
while intoxicated" (class 22), liquor law violations, State or local, are placed in 
this class. Excludes Federal violations. 

18. Drunkenness. — Includes all offenses of drunkenness or intoxication. 

19. Disorderly conduct. — Includes all charges of committing a breach of the 
peace. 

20. Vagrancy. — Includes such offenses as vagabondage, begging, loitering, etc. 

21. Gambling. — Includes offenses of promoting, permitting, or engaging in 
gambling. 

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

23. Violation of road and driving laws. —Includes violations of regulations with 
respect to the proper handling of a motor vehicle to prevent accidents. 

24. Parking violations. — Includes violations of parking ordinances. 

25. Other violations of traffic and motor vehicle laws. — Includes violations of 
State laws and municipal ordinances with regard to traffic and motor vehicles 
not otherwise provided for in classes 22-24. 

26. All other offenses. — Includes all violations of State or local laws for which 
no provision has been made above in classes 1-25. 

27. Suspicion. — This classification includes all persons arrested as suspicious 
characters, but not in connection with any specific offense, who are released with- 
out formal charges being placed against them. 



INDEX TO VOLUME XVII, UNIFORM CRIME REPORTS 

[All references are to page numbers] 

Age of offenders. {See Arrests.) 

Annual crime trends: Page 

Cities grouped by size 7, 83-86 

Cities grouped by location 83-84, 88-91 

Estimated total number of major crinies, 1945-46 1 12-1 14 

Long term trends, 1939-46 83-85,87 

Rural crime trends 1 17-19, 109-110 

Arrests — based on fingerprint records 70-74, 1 15-124 

Age of offenders 70-73, 116-123 

Outside State of birth 74, 123 

Race of ^offenders 74, 123-124 

Recidivism. 73, 123-124 

Sex of offenders 70-71, 115-116 

Automobiles — percentage recovered 16, 107 

Classification of offenses 2-3, 75-76, 78-79, 125-126 

Cleared by arrest, offenses 51-55, 59. 61, 66-67 

Bj' geographic divisions 66-67 

Crimes. (See Arrests, estimated number, offenses, persons charged, per- 
sons found guilty, and persons released.) 
Criminal repeaters. (See Arrests — recidivism.) 

Employees, number of police 20-50 

Fingerprint records 70-74, 1 15-124 

Monthly variations, offenses known to the police 92-95 

Offenses known to the police : 

Annual trends 7, 17- 19, 83-91, 109-1 10 

Cities grouped by location 8-1 1, 95-98 

Cities grouped by location and size 11, 98 

Cities grouped by size . 4-5, 80-81 

Cleared by arrests 51-55, 59, 61, 66-67 

Cleared by arrest, geographic divisions 66-67 

Divided as to time and place and value of property stolen __ 14-16, 106-108 

Individual cities over 100,000 in population 12-14 

Individual cities over 25,000 in population 99-106 

Monthly variations 92-95 

Rural areas 17-19, 109-1 1 1 

Territories and possessions of the United States 111 

Persons charged (held for prosecution) 56-59, 66-69 

By geographic divisions 66-69 

Persons found guilty 59-62 

Persons released (not held for prosecution) 63-65 

Police department employees 20-50 

Police killed 20 

Possessions and Territories of the United States, offenses in 111 

Property, value stolen 16, 106-108 

Property, value stolen and recovered 16, 108 

(127) 



128 

Page 
Prosecution, persons held for. (See Persons charged and persons found 

guilty.) 
Race of offenders. (See Arrests.) 
Recidivism. (See Arrests.) 

Reporting area, extent of 79 

Rural crime data 17-19, 109-111 

Sex of offenders. (See Arrests.) 

Sheriffs' reports 17-19, 109-111 

State crime rates. (See Offenses known — cities grouped V^y location.) 

State police reports 17-19, 109-1 1 1 

Territories and possessions of the United States, offenses in 111 

Trends, annual crime: 

Cities grouped by size 7, 83-86 

Cities grouped by location 83-84, 88-91 

Long-term trends, 1939-46 83-85,87 

Value of property stolen 16, 106-108 

Value of property stolen and recovered 16, 108 

Variations, monthly crime 92-95 

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