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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 



Volume VI — Number 1 
FIRST QUARTERLY BULLETIN, 1935 



Issued by the 

Federal Bureau of Investigation 

United States Department of Justice 

Washington, B.C. 







1.1 



b 



UNITED STATES 
GOVERNMENT PRINTING OFFICE 
WASHINGTON: 1935 



ADVISORY 
COMMITTEE ON UNIFORM CRIME RECORDS 

OF THE 

INTERNATIONAL ASSOCIATION OF CHIEFS OF POLICE 

(n) 






3 »ajo 



UNIFORM CRIME REPORTS 

J. Edgar Hoover, Director, Federal Bureau of Investigation, U. S. Department 

of Justice, Washington, D. C. 

Volume 6 April 1935 Number 1 

CONTENTS 

Classification of offenses. 
Extent of reporting area. 
Monthly returns: 

Offenses known to the police — cities divided according to population. 

Daily average, offenses known to the police, 1935. 

Daily average, offenses known to the police, 1931-35. 

Offenses known to the police — cities divided according to location. 

Data for individual cities. 

Offenses known to sheriffs and State police. 

Offenses known in the possessions. 

Data from supplementary offense reports. 

Number of police department employees. 
Annual returns: 

Offenses known and offenses cleared by arrest, 1934. 

Persons charged (held for prosecution), 1934. 

Persons released (not held for prosecution), 1934. 

Percentage of offenses cleared by arrest, 1931-34. — 
Data compiled from fingerprint cards, 1935: 

Sex distribution of persons arrested. 

Age distribution of persons arrested. 

Race distribution of persons arrested. 

Percentage with previous fingerprint records. 

Number with records showing previous convictions. 

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 
occurring within the poUce jurisdiction, whether they become known 
to the police through reports of police oflScers, of citizens, of prose- 
cuting or court officials, or otherwise. They are confined to the 
foUou-ing group of seven classes of grave offenses, shown by exper- 
ience to be those most generally and completely reported to the 
police: Criminal homicide, including (a) murder, nonnegfigent man- 
slaughter, and (6) manslaughter by negligence; rape; robbery; aggra- 
vated assault; burglary — breaking or entering; larceny — theft; and 
auto theft. The figures contained herein include also the number of 
attempted crimes of the designated classes. Attempted murders, 
however, are reported as aggravated assaults. In other words, an 
attempted burglary or robbery, for example, is reported in the 
bulletin in the same manner as if the crime had been completed. 

"Offenses known to the poHce" include, therefore, all of the above 
offenses, including attempts, which are reported by the police depart- 
ments of contributing cities and not merely arrests or cleared cases. 
Complaints which upon investigation are learned to be groundless 
are not included in the tabulations which follow. 

(1) 



In order to indicate more clearly the types of offenses included in 
each group, there follows a brief definition of each classification. 

1. Criminal homicide. — (a) Murder and nonnegligent manslaughter — includes 
all felonious homicides except those caused by negligence. Does not include 
attempts to kill, assaults to kill, justifiable homicides, suicides, or accidental 
deaths. (6) Manslaughter by negligence — includes only those cases in which 
death is caused by culpable negligence which is so clearly evident that if the 
person responsible for the death were apprehended he would be prosecuted for 
manslaughter. 

2. Rape. — Includes forcible rape, statutory rape, 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 highway robbery, stick-ups, rob- 
bery armed. Includes assault to rob and attempt to rob. 

4. Aggravated assault. — Includes assault with intent to kill; assault by shoot- 
ing, cutting, stabbing, poisoning, scalding, or by use of acids; mayhem, maiming. 
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 theft. Includes attempted 
burglary and assault to commit a burglary. Burglary followed by a larceny is 
entered here and is not counted again under larceny. 

6. Larceny — theft {except auto theft). — (a) Fifty dollars and over in value, (b) 
Under $50 in value — includes in one of the above subclassifications, depending 
upon the value of the property stolen, pocket-picking, purse-snatching, shop- 
lifting, or any stealing of property or thing of value which is not taken by force 
and violence or by fraud. Does not include embezzlement, "con" games, 
forgery, passing worthless checks, etc. 

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

In publishing the data sent in by chiefs of police in different cities, 
the Federal Bureau of Investigation does not vouch for its accuracy. 
It is 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. 

Extent of Reporting Area 

In the table which follows, there is shown the number of police 
departments from which one or more crime reports have been received 
during the first three months of 1935. The data are presented for 
the cities divided according to size. The population figures em- 
ployed are estimates as of July 1, 1933, by the Bureau of the Census 
for cities with population in excess of 10,000. For the smaller com- 
munities the figures Hsted in the 1930 decennial census were used. 
The growth in the crime reporting area is evidenced by the following 
figures for the first 3 months of 1932-35. 



Year 


Cities 


Population 


1932 -- 


1,476 
1,561 
1,593 
1.833 


49, 368, 231 


1933 - 


53, 295, 629 


1934 


61, 715, 079 


1935 . . 


62, 304, 616 







The above comparison shows that during the first quarter of 1935 
there was an increase of 240 cities as compared mth the corresponding 
period of 1934, the population represented by those cities being 
589,537. 



Population group 



Total 

1. Cities over 250,000 

2. Cities 100,000 to 250.000 

3. Cities 50,000 to 100,000. 

4. Cities 25,000 to 50,000.. 

5. Cities 10,000 to 25,000.. 



Total 
number 
of cities 
or towns 



983 



Cities filing returns 



Number Percent 



37 

57 

104 

191 
594 



84« 



36 

66 

94 

170 

490 



86 



97 
98 
90 
89 
82 



Total pop- 
ulation 



60, 281, 688 



29, 695, 500 
7,850,312 
6, 980, 407 
6, 638. 544 
9,116,925 



Population repre- 
sented in returns 



Number Percent 



56, 979, 075 



29,415,100 
7,726,812 
6, 302, 470 
5, 943, 689 
7,591,004 



96 



99 
98 
90 
89 
83 



Note.— The above table does not include 987 cities and rural townships aggregating a total population 
of 5,325,541. The cities included in this figure are those of less than 10,000 population filing returns whereas 
the rural townships are of varying population groups. 



4 

MONTHLY RETURNS 

Offenses Known to the Police — Cities Divided According to Population 

In table 1 there is presented the number of offenses reported for the 
first 3 months of 1935 by the police departments of 1,457 cities, with 
an aggregate population of 57,857,978. As indicated in the foot- 
notes to the table, the number of reports included in the compilation 
is slightly smaller for certain offense classes. 

The information included in table 1 has been prepared to indicate 
the number of known offenses per 100,000 inhabitants for the cities 
divided into six groups according to size. The information has been 
arranged in that form in order that police administrators and other 
interested persons may make comparisons between the amount of 
known crime in their communities and the average amount of crime 
in other communities of approximately the same size. 

Examination of the following percentage distribution discloses that 
more than 95 percent of the offenses reported for the first quarter of 
1935 were crimes against property (robbery, burglary, larceny, and 
auto theft). The remainder were crimes against the person (murder, 
manslaughter, rape, and aggravated assault). 



OfEense 



TotaL- 

Larceny 

Burglary 

Auto theft- - 



Rate per 
100,000 


Percent 


361.9 


100.0 


182.0 
83.8 
62.4 


50.3 
23.1 
17.2 



Oflense 



Robbery 

Aggravated assault 

Rape - 

Murder 

Manslaughter 



Rate per 
100,000 



18.9 

10.4 

1.7 

1.4 

1.3 



Percent 



5.2 

2.9 

.6 

.4 

.4 



Most of the police departments forwarding crime reports to the 
Bureau divided offenses of larceny into two groups, those in which 
the value of the property stolen was $50 or more, and those in which 
the value was less than $50. Of the cities with more than 100,000 
inhabitants, 72 reported larceny data classified in accordance with the 
foregoing and a separate compilation of that information is presented 
below. 





Larceny 


-theft 


Population group 


$50 and over 
in value 


Under $50 
in value 


25 cities over 250,000; total population, 17,918,300: 

Number of ollenses known 


4,412 
24.6 

1,677 
25.9 


27, 450 


Rate per 100,000 


153.2 


47 cities, 100,000 to 250,000; total population, 6,480,012: 

Number of offenses known 


13,040 


Rate per 100,000 


201.2 







The above compilation shows that the police departments in cities 
with more than 250,000 inhabitants reported lower crime rates for 
both larceny classes than the communities with from 100,000 to 
250,000 inhabitants. 



Table 1. — Offenses known to the police, January to March, inclusive, 1935; number 
and rates per 100,000, by population groups 

[Population as estimated July 1, 1933, by the Bureau of the Census] 



Population group 



GROUP I 

35 cities over 250,000; total population, 
29,002,500: 

Number of offenses known 

Rate per 100,000 



GROUP n 

52 cities, 100,000 to 250,000; total popu- 
lation, 7,235,012: 

Number of otTenses known 

Rate per 100,000 



GROUP m 

83 cities, 50,000 to 100,000; total popu- 
lation, 5,637,109: 

Number of offenses known 

Rate per 100,000. 



GROUP IV 

146 cities, 25,000 to 50,000; total popu- 
lation, 5,086,189: 

Number of offenses known 

Rate per 100,000 



GROUP V 

«7 cities, 10,000 to 25,000; total popu- 
lation, 6,788,855: 

Number of offenses known 

Rate per 100,000 



GROUP VI 

704 cities under 10,000; total popula- 
tion, 4,108,313: 

Number of offenses known 

Rate per 100,000 



Total 1,457 cities; total popula- 
tion, 57,857,978: 
Number of offenses known. 
Rate per 100,000 



Criminal 
homicide 



Murder, 
nonneg- 
ligent 
man- 
slaugh- 
ter 



411 
1.4 



149 
2.1 



82 
1.5 



44 
0.9 



71 
1.0 



62 
1.6 



819 
1.4 



Man- 
slaugh- 
ter by 
negli- 
gence 



1 448 
1.6 



70 
1.0 



74 
1.3 



46 
0.9 



52 
0.8 



26 
0.6 



«716 
1.3 



Rape 



544 
1.9 



119 
1.6 



72 
1.3 



70 
1.4 



95 
1.4 



74 
1.8 



974 
1.7 



Rob- 
bery 



7,148 
24.6 



1,343 
18.6 



943 
16.7 



589 
11.6 



601 
8.9 



299 
7.3 



10, 923 
18.9 



Aggra- 
vated 
assault 



2,904 
10.0 



943 
13.0 



815 
14.6 



518 
10.2 



566 
8.3 



276 
6.7 



6,022 
10.4 



Bur- 
glary— 
break- 
ing or 
enter- 
ing 



23, 697 
81.7 



8,514 
117.7 



5,185 
92.0 



4,450 
87.5 



4,282 
63.1 



2,346 
57.1 



48, 474 
83.8 



Lar- 
ceny- 
theft 



141,014 
190.3 



n5,950 
223.8 



11, 189 
198.6 



9,510 
187.0 



9,248 
136.2 



4,646 
113.1 



« 91, 557 
182.0 



Auto 
theft 



' 16, 566 
75.8 



5,850 
80.9 



3.467 
61.5 



2,553 
50.2 



2,250 
33.1 



971 
23.6 



'31,656 
62.4 



• The number of offenses and rate for manslaughter by negligence are based on reports of 33 cities with a 
total population of 27,274,300. 

' The number of offenses and rate for larceny — theft are based on reports of 33 cities with a total popula- 
tion of 21,549,300. 

• The number of offenses and rate for auto theft are based on reports of 34 cities with a total population of 
21,848,200. 

« The number of offenses and rate for larceny— theft are based on reports of 51 cities with a total popula- 
tion of 7,126,812. 

• The number of offenses and rate for manslaughter by negligence are based on reports of 1,456 cities with 
a total population of 56,129,778. 

' The number of offenses and rate for larceny— theft are based on reports of 1,454 cities with a total popu- 
lation of 50,296,578. 

' The number of offenses and rate for auto theft are based on reports of 1,456 cities with a total popula- 
tion of 50.703.678. 



Daily Average, Offenses Known to the Police, 1935 

In table 2 there are shown data for the first 3 months of 1935 indicat- 
ing the monthly trends in the number of major offenses reported to 
the police of 87 cities, each having a population in excess of 100,000. 

An examination of the table reveals that for the offenses of burglary, 
larceny, and auto theft, the averages show a steady increase from 
January to March. The same is true for the offense of aggravated 
assault. On the other hand, the number of robberies committed 
daUy shows a decrease in March as compared with the preceding 
months. For the offense of murder, the highest average occured 
during January. 

Table 2. — Daily average, offenses known to the police, 87 cities over 100,000, 

January to March, inclusive, 19S5 



[Total population, 36,237,512, as estimated July 1, 1933, by the Bureau of the Census] 






Criminal 
homicide 


Rape 


Rob- 
bery 


Aggra- 
vated 
assault 


Bur- 
glary— 
break- 
ing or 
enter- 
ing 


Lar- 
ceny- 
theft 




Month 


Murder, 
nonneg- 
ligent 
man- 
slaugh- 
ter 


Man- 
slaugh- 
ter by 
negli- 
gence 


Auto 
theft 


January 


6.6 
6.0 
6.1 


15.6 
4.9 
6.7 


7.3 

6.7 
8.1 


101.7 
90.8 
90.1 


37.8 
43.3 
47.2 


343.8 
356. 9 
372.9 


J 613. 3 
625.0 
659.8 


3 240 


February 


243.3 


March 


263.3 






January to March 


6.2 


5.8 


7.4 


94.3 


42.7 


357.9 


632.9 


249 1 













1 Daily averages for manslaughter by negligence are based on reports of 85 cities with a total population 
of 34,509,312. 
' Daily averages for larceny— theft are based on reports of 84 cities with a total population of 28,676,112. 
' Daily averages for auto theft are based on reports of 86 cities with a total population of 29,083,212. 

Daily Average, Offenses Known to the Police, 1931-35 

There is presented in table 3 the number of known offenses as 
reported to the Federal Bureau of Investigation for the first quarter of 
each of the years 1931 to 1935. The compilation is based on reports 
from 69 cities, each with a population in excess of 100,000. The 
figures appearing in the table reveal that the greatest number of 
murders (383) occurred during 1933, whereas the lowest figure for 
this offense (320) is shown in 1934. There were 347 murders reported 
for the first quarter of 1935. 

There has been a marked decrease in the number of known offenses 
of robbery during the past 2 years, as compared with the number of 
offenses of that type reported for prior years. The same is true for 
auto theft, with the exception that the figure for 1935 is slightly larger 
than for 1934. A further comparison of the data included in the table 
shows that there has been a slight increase in the number of larcenies 
committed during 1935, as compared with other years. With refer- 
ence to the burglary classification, the compilation shows a decrease 
in 1935, although the lowest figure for this type of offense occurred 
in 1931. 

An examination of the table reveals a substantial decrease in the 
number of negligent manslaughters committed during 1935. With 
reference to this variation, the Bureau desires to point out that during 
1934 it was learned that prior to that year many of the reporting 
police departments included in this classification all automobile 
deaths. In order to obtain greater uniformity in the reporting of 
data for this classification it was recommended during the past year 



that in instances where there was doubt as to whether in a given case 
the driver of the car was guilty of culpable negligence, the complaint 
should be scored as a groundless or baseless complaint in accordance 
with the action taken by oIHcials responsible for prosecution. The 
decrease in 1935, therefore, may be attributable to a change in the 
procedure employed in scoring offenses of this type rather than to a 
real change in the number of actual offenses. 

Table 3. — Daily average, offenses known to the police, 69 cities over 100,000, 
January to Alarch, inclusive, 1931-35 

[Total population, 19,383,002, as estimated July 1, 1933, by the Bureau of the Census] 





Criminal 
homicide 


Rape 


Rob- 
bery 


Aggra- 
vated 
assault 


Bur- 
glary- 
break - 
ing or 
enter- 
ing 


Lar- 
ceny- 
theft 




Year 


Murder, 
nonneg- 
ligent 
man- 
slaugh- 
ter 


Man- 
slaugh- 
ter by 
negli- 
gence 


Auto 
theft 


Number of offenses known: 

1931 - - 


359 
3G6 
383 
320 
347 

4.0 
4.0 
4.3 
3.6 
3.9 


364 
310 
243 
321 
237 

4.0 
3.4 

2.7 
3.6 
2.6 


291 
296 
308 
303 
342 

3.2 
3.3 
3.4 
3.4 

3.8 


5,703 
5. 219 
5,179 
3, 957 
3,604 

63.4 
57.7 
57.5 
44.0 
40.7 


2, 268 
1,999 
2,334 
2,202 
2,184 

25.2 
22.0 
25.9 
24.5 
24.3 


17,566 
19, 247 

19, 145 
18, 757 
18,618 

195.2 
211.5 
212.7 
208.4 
206.9 


36, 638 

36. 579 

38, 756 

39, 773 

40, 721 

407.1 
402.0 
430.6 
441.9 
452.5 


21, 659 


1932 


18, 5.53 


1933 . . ... 


17,086 


1934 


11,148 


1935 


14,518 


Daily average: 

1931 


240.7 


1932 


203.9 


1933 


189.8 


1934 


157.2 


1935 


161.3 







Offenses Known to the Police — Cities Divided According to Location 

Table 4 shows the number of cities in each State for which the 
reports were used in determining the crime rates presented in table 5. 
The information is also presented to show the number of police 
departments divided according to size of city. The number in each 
geographic group is also shown. It is felt that the information con- 
tained in table 4 will be of assistance in making comparisons of any 
two sets of crime rates in table 5. 

An examination of the data in table 1 indicates that the larger 
cities showed a tendency to report higher crime rates than those in 
the smaller population groups. It is of importance, therefore, to 
ascertain the number of reports used, as illustrated in table 4, and 
the size of the cities represented in the calculation of rates for indi- 
vidual States. In some instances the rates for individual States are 
based on the reports received from only 3 or 4 police departments, 
and it is, therefore, quite obvious that the rates based on a number 
of reports so limited may differ substantially from the figures which 
would be obtained if a greater number of reports were available. 

An examination of table 5 indicates that the highest rates for 
murder, robbery, aggravated assault, and burglary were reported 
for the East South Central States. The lowest figures for the above 
offenses, with the exception of burglary, were received from the New 
England States, the lowest rate for burglary occurring in the Middle 
Atlantic States. The highest figure for larceny — theft occurred in 
the West South Central States, while the lowest rate for this offense 
is shown for the Middle Atlantic group. The data for auto theft 
were highest in the Pacific group, and the lowest figure for this offense 
was for the Middle Atlantic States. 

133786—35 2 



8 



Table 4. — Number of cities in each State included in the tabulation of uniform crime 
reports, January to March, inclusive, 1935 





Population 




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 


GEOGRAPHIC DIVISION 

New England: 166 cities; total population, 
5,522,814 


2 

7 

9 

3 

2 

3 

3 
1 
5 


12 

8 

9 

6 

6 

2 

6 
1 
4 


10 
22 
22 

6 
10 

2 

3 
2 
6 

1 

1 


24 

25 

45 

10 

13 

4 

8 

4 

13 

1 
1 
1 

11 
4 
6 

9 
9 

7 

15 

5 

10 

7 
8 


61 

125 

96 

49 

24 

14 

21 
12 
35 

6 
5 
2 
36 
4 
8 

41 
30 
54 

29 
10 
26 
20 
11 

9 
6 
9 
3 
5 
6 
11 


57 

183 

184 

77 

39 

13 

36 
41 

74 

7 
7 
6 
30 
4 
3 

74 
49 
60 

60 
11 
36 
54 
23 

22 
9 

14 
5 
3 

11 

13 

2 

2 

11 

5 
8 


166 


Middle Atlantic: 370 cities; total population, 
17,971,109 


370 


East North Central: 365 cities; total population, 
15,249,949 


365 


West North Central: 150 cities; total popula- 
tion, 4,231,793 


160 


South Atlantic: ' 94 cities; total population, 
3,806,798 


94 


East South Central: 38 cities; total population, 
1,686,109 


38 


West South Central: 76 cities; total population, 
2,950,723 . 


76 


Mountain: 61 cities; total population, 1,088,367- 
Pacific: 137 cities; total population, 5,350,316... 

New England: 

Maine ..... ... 


61 
137 

15 


New Hampshire 






14 


Vermont.. 






9 


Massachusetts 


1 
1 


8 

i" 

4 
1 
3 

3 
3 
1 
2 

1 
1 


6 
1 
1 

5 

6 

11 

3 

2 

7 
8 
2 


92 


Rhode Island 


14 


Connecticut.. 


22 


Middle Atlantic: 

New York... 


3 
2 
2 

6 

1 
1 
1 
1 

2 


136 


New Jersey ... . . . . 


97 


Pennsylvania . . . . 


137 


East North Central: 

Ohio 


115 


Indiana 


32 


Illinois 


81 


Michigan .......... 


92 




45 


West North Central: 

Minnesota 


34 


Iowa 


3 

1 


6 
1 
1 
1 

" i' 


25 


Missouri 


1 


26 


North Dakota. 


9 


South Dakota. 








9 


Nebraska .. .. 




1 
2 

1 


1 
1 


19 






28 


South Atlantic: 

Delaware 




3 


Maryland 


1 




2 
4 
1 
2 

1 

3' 

3 


1 
5 
3 
7 


6 




2 


1 
2 
3 
2 
2 

1 


23 


West Virginia . 




11 


North Carolina 






20 


South Carolina . ... . 






3 








5 
3 

5 

1 
.. 

1 
4 
8 
8 

2 
1 
2 
4 
2 

i' 

7 

4 

24 


5 
6 

6 
4 
3 

3 

1 

19 

13 

5 
5 
2 
10 
2 
5 
9 
3 

4 

8 
62 


12 


Florida 




3 
2 


16 


East South Central: 

Kentucky 


1 
1 
1 


16 


Tennessee ..... . . 


8 


Alabama .. . . 


1 


i 


6 


Mississippi 


8 


West South Central: 

Arkansas 






1 


1 

2 
2 
3 


6 


Louisiana . . - . - . 


1 




8 




2 
3 


.. 


31 


Texas. 


2 


31 


Mountain: 

Montana . . 


7 












6 


Wyoming 










4 


Colorado - 


1 




1 


1 

1 
1 

1 


17 


New Mexico . 


6 


Arizona 






1 


7 


Utah 




1 


11 


Nevada . . . . 




4 


Paciflc: 

Washington 


1 
1 
3 


2 




2 

1 
10 


16 


Oregon . .... 


14 


California. 


2 


6 


107 







1 Includes District of Columbia. 



Table 5. — Rate per 100,000, offenses known to the police, January to March, 

inclusive, 19S5 



Division and State 



GEOOUAPniC DIVISION 



New England- 
Middle Atlantic ' 

East North Central >. 
West North Central.. 

South Atlantic ^ < 

East South Central... 
West South Central-. 

Mountain 

Pacific *- 

New England: 

Maine 

New Hampshire.. 

Vermont 

Massachusetts 

Rhode Island 

Connecticut 

Middle Atlantic: 

New York ^ 

New Jersey 

Pennsylvania 

East North Central: 

Ohio'-- 

Indiana 

Illinois 

Michigan. 

Wisconsin 

West North Central: 

Minnesota 

Iowa— -. 

Missouri-- 

North Dakota 

South Dakota 

Nebraska 

Kansas 

South Atlantic: 

Delaware... 

Maryland 

Virginia 

West Virginia 

North Carolina... 

South Carolina 

Georgia.- 

Florida* 

East South Central: 

Kentucky 

Tennessee 

Alabama 

Mississippi 

West South Central: 

Arkansas 

Louisiana... 

Oklahoma 

Texas. 

Mountain: 

Montana 

Idaho 

Wyoming 

Colorado 

New Mexico 

Arizona... 

Utah 

Nevada 

Pacific: 

Washington • 

Oregon 

California 'O 



Criminal 














homicide 


Rape 


Rob- 
bery 


Aggra- 
vated 
assault 


Bur- 
glary— 
break- 
ing or 
enter- 
ing 


Lar- 
ceny- 
theft 




Murder, 
nonneg- 
ligent 
man- 
slaugh- 
ter 


Man- 
slaugh- 
ter by 
negli- 
gence 


Auto 
theft 


0.2 


0.6 


1.5 


5.4 


3.2 


67.6 


99.0 


51.3 


1.0 


1.7 


1.6 


7.1 


6.6 


38.5 


73.1 


40.2 


1.2 


.8 


1.8 


34.2 


9.4 


91.1 


178.3 


54.5 


.9 


.9 


1.6 


20.4 


5.3 


96.0 


196.7 


74.4 


3.6 


1.3 


1.6 


18.4 


36. 7 


110.6 


292. 4 


74.8 


5.9 


2.9 


1.1 


38.6 


36.9 


146.7 


172.8 


71.1 


2.9 


1.6 


1.2 


24.4 


17.6 


143.5 


339.9 


89.8 


1.5 


2.3 


2.1 


28.2 


6.8 


143.2 


302.7 


92.6 


1.1 


1.5 


2.6 


16.7 


7.9 


138.0 


302.7 


99.2 





1.2 


.8 


6.0 


6.2 


66.0 


82.2 


36.5 





.6 


2.8 


1.9 


1.4 


38.6 


63.7 


8.8 











1.0 





21.0 


33.6 


5.2 


.3 


.5 


1.8 


6.8 


2.9 


66.6 


90.5 


60.7 





.6 


.4 


1.8 


4.2 


56.4 


143.0 


27.4 


.3 


.4 


1.1 


7.2 


3.2 


92.2 


122.5 


49.2 


1.0 


2.1 


1.6 


4.3 


6.7 


23.1 


88.2 


36.1 


1.0 


2.3 


1.6 


11.2 


10.9 


94.1 


94.8 


48.5 


1.0 


.4 


1.6 


10.7 


6.6 


44.6 


53.9 


39.1 


1.8 


.7 


.9 


25.6 


9.1 


97.8 


222.8 


59.7 


1.2 


.4 


2.0 


28.8 


11.6 


97.4 


262.0 


83.7 


1.2 


.9 


1.4 


67.3 


10.3 


123.3 


114.1 


63.2 


.8 


1.4 


3.3 


10.1 


10.2 


56.8 


206.1 


49.0 


.4 


.2 


1.7 


2.4 


2.8 


30.9 


145.4 


30.0 


.2 


.2 


.6 


17.3 


6.2 


100.3 


97.0 


92.3 


1.0 


.1 


1.1 


15.3 


2.8 


88.9 


216.8 


69.5 


1.2 


2.2 


3.2 


24.5 


9.0 


86.1 


251.7 


64.6 








1.9 


15.2 


1.9 


83.6 


123. 6 


46.6 


1.9 


1.9 


2.8 


18.5 


.9 


67.4 


114.8 


38.0 


1.1 





1.1 


19.3 


2.7 


72.6 


157.7 


108. 6 


1.6 


1.2 


.5 


26.6 


4.7 


144.6 


293.1 


63.9 


2.7 








8.8 


17.7 


80.5 


162.8 


45.1 


1.4 


.3 


1.6 


16.0 


1.8 


60.9 


123.3 


73.1 


3.9 


3.1 


3.0 


17.7 


60.9 


141.3 


433.8 


78.2 


1.9 


.8 





12.2 


9.9 


73.7 


198.3 


64.6 


3.4 


2.4 


2.2 


10.8 


135.4 


109.5 


231.8 


60.8 


2.8 


.7 





13.1 


35.8 


67.6 


545.3 


35.8 


5.0 


.8 


.8 


10.4 


26.5 


98.9 


351.7 


48.1 


7.9 


.6 


1.1 


29.6 


28.0 


188.6 


430.6 


81.0 


4.3 


2.3 


1.7 


36.1 


41.3 


170.1 


279.4 


71.3 


6.2 


4.2 


1.2 


57.1 


45.0 


132.6 


101.7 


83.2 


8.9 


2.8 


.5 


22.4 


22.6 


162.4 


136.0 


67.6 


2.6 








16.4 


23.7 


46.6 


95.7 


26.3 


3.5 


7.6 


2.8 


42.9 


21.6 


161.3 


363.7 


76.8 


3.8 


3.0 


.8 


9.4 


21.3 


68.1 


108.4 


42.2 


2.1 


.3 


1.8 


31.9 


9.4 


179.2 


371.6 


70.0 


2.9 


1.0 


1.0 


26.3 


19.3 


156.3 


416.2 


118.2 





1.7 





8.6 


1.7 


60.6 


205.6 


26.9 











5.4 


8.9 


78.7 


236.0 


61.9 








1.9 


9.6 


3.8 


84.2 


379.0 


91.9 


1.5 


1.0 


1.3 


42.1 


5.2 


163.2 


284.7 


73.6 


3.3 








9.9 


3.3 


143.1 


389.8 


59.2 


4.0 


9.7 


4.0 


41.2 


23.4 


197.2 


464.0 


211.0 


.9 


3.2 


4.6 


12.7 


3.6 


120.8 


219.4 


90.8 








2.7 


18.9 


5.4 


146.0 


497.5 


140.6 


.5 


.2 


1.3 


22.3 


10.1 


200.3 


304.1 


94.9 


1.3 


.2 


1.1 


34.2 


2.2 


182.6 


383.0 


73.3 


1.2 


1.8 


3.0 


13.7 


8.1 


121.2 


293.7 


102.8 



' The rates for larceny— theft and auto theft are based on reports of 369 cities with a total population of 
10,816,809. 
> The rate for larceny— theft is based on reports of 364 cities with a total population of 14,951,049. 
' Includes report of District of Columbia. 

• The rate for larceny— theft is based on reports of 93 cities with a total population of 3,698,598. 

• The rate for manslaughter by negligence is based on reports of 135 cities with a total population of 
3,022,116. 

• The rates for larceny— theft and auto theft are based on reports of 135 cities. 
' The rate for larceny— theft is based on reports of 114 cities. 

' The rate for larceny— theft is based on reports of 14 cities. 

• The rate for manslaughter by negligence is based on reports of 16 cities. 
>• The rate for mansalughter by negligence is based on reports of 106 cities. 



10 

Data for Individual Cities 

In accordance with the recommendation of the Committee on Uni- 
form Crime Records of the International Association of Chiefs of 
Police, there is presented in table 6 the number of offenses reported 
during the first quarter of 1935 by the police departments of cities 
with more than 100,000 inhabitants. In presenting these figures the 
Federal Bureau of Investigation desires to recommend caution in 
their use for purposes of comparing the amount of crime in one city 
with the amount in other communities. It is felt that the proper 
function of the data appearing in table 6 is to serve as a source of 
information to the general pubUc in each community regarding the 
number of major offenses reported hj its police department. Un- 
doubtedly it will be found desirable in that connection to make com- 
parisons with the average figures presented in table 1, but the more 
important function of this table is to make possible a comparison of 
the figures for any one city with the data for a prior corresponding 
period. More thought should be given to the question whether the 
amount of known crime approximates a satisfactory standard for the 
individual community, considering all of the local factors affecting the 
problem which may be operative in other communities to a greater 
or lesser degree. The amount of crime in a given community may 
be influenced by a number of factors, aU of which should receive con- 
sideration when an analysis is being made of local crime problems. 
Crime, it will be remembered, is essentially a communitj'^ problem, 
chargeable to the entire community rather than to law-enforcement 
officials only. For this reason the Federal Bureau of Investigation 
recommends strongly against the use of the figures appearing in the 
following table as the sole measure of the efficiency of a lav/-enforce- 
ment organization. 

The classification "manslaughter by negligence" should be limited 
to instances in which death has been caused by criminal negligence. 
Many of the cases included in this group are deaths resulting from 
automobile accidents. An examination of the figures appearing in 
table 6 will indicate in some instances the probability that the figures 
include all cases of automobile deaths. However, in view of the fact 
that all contributors of crime reports have been advised as to the type 
of information to be included in this classification, it has been thought 
desirable to publish the figures as reported by individual law-enforce- 
ment agencies. 

In examining a compilation of crime figures for individual com- 
munities, it should be borne in mind that in view of the fact that the 
data are compiled by different record departments, operating under 
separate and distinct administrative systems, it is entirely possible 
that there may be variations in the practices employed in classifying 
complaints of offenses. On the other hand, the crime reporting 
manual has been distributed to all contributors of crime reports, and 
the figures received are included in this bulletin only if they are 
apparently compiled in accordance with the provisions of the manual 
and the individual department has so indicated. 



11 

Table 6. — Number of offenses known to the ■police, January to March, inclusive, 

1935 



City 



Akron. Ohio 

Allmny, N. Y 

Baltimore, Md - 

Birmingham, Ala 

Boston, Mass_ 

Bridgeport, Conn 

Buffalo, N. Y 

Cambridge, Mass 

Canton, Ohio 

Chicago, ni... -- 

Cincinnati, Ohio 

Cleveland, Ohio 

Columbus, Ohio 

Dallas, Tex..- 

Dayton, Ohio. 

Denver, Colo.. 

Des Moines, Iowa 

Detroit, Mich 

Duluth, Minn 

Elizabeth, N. J 

El Paso, Tex. 

Erie, Pa 

Evansville, Ind 

Fall River, Mass... 

Flint, Mich 

Fort Wayne, Ind 

Fort Worth, Tex 

Gary, Ind 

Grand Rapids, Mich 

Hartford, Conn 

Houston, Tex 

Indianapolis, Ind 

Jacksonville, Fla. 

Jersey City. N. J... 

Kansas City, Kans 

Knoxville, Tenn. 

Long Beach, Calif 

Los Angeles, Calif 

Louisville. Ky 

Lowell, Mass 

Lynn, 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 

Norfolk, Va 

Oakland, Calif 

Oklahoma City, Okla... 

Omaha, Nebr... 

Peoria, 111 

Philadelphia, Pa 

Pittsburgh, Pa 

Portland, Oreg 

Providence, R. I 

Reading, Pa.. 

Richmond, Va 

Rochester, N. Y 

St. Louis, Mo 1 

at. Paul, Minn 

Salt Lake City, Utah 

San Antonio, Tex.. 

San Diego, Calif 

San Francisco, Calif 

Scranton, Pa 

Seattle, Wash... 

Somerville, Mass 

Spokane, Wash 

Footnotes at end of table. 



Criminal 
homicide 



Murder, 
nonneg- 
ligent 
man- 
slaugh- 
ter 



Man- 
slaugh- 
ter by 
negli- 
gence 



Rape 



4 
1 

12 

27 

2 



1 
50 
20 

22 



8 

3 

2 

10 



14 
7 

16 
3 
3 



27 
6 
4 



14 
10 



15 

4 



3 
10 
2 
2 
4 



34 



10 
3 



25 



11 
4 

7 



(') 



14 
2 



1 

3 

21 



1 

20 

77 

4 

4 

8 

5 

1 

22 

3 

3 



12 



16 

204 

2 

7 

1 



25 



1 
8 
3 
34 
6 



(•) 



2 
1 

15 
2 

23 
1 
6 
3 
3 

53 
7 
S 
4 
4 



4 

1 

78 



11 
68 
3 
1 
2 
3 
1 

12 
3 
4 
4 
6 



2 
134 
1 
5 
1 



1 
31 
7 
2 
1 
7 
7 
4 
34 
2 
9 
5 

g 

3 

1 
2 

1 



Rob- 
bery 



45 
12 

135 

55 

62 

7 

36 

10 

56 

3,046 

109 

340 

189 
83 
65 

169 
29 

214 

10 

7 

24 

4 

13 

4 

13 

8 

24 

29 

8 

16 

136 

166 
85 
7 
97 
16 
14 

229 

80 

4 

12 

215 

31 

6 

96 

88 

116 

4 

15 

31 

333 
32 
68 
82 
73 
12 

120 

211 

144 

4 

7 

61 

8 

191 
77 
28 
86 
28 
87 
10 

121 

8 

28 



Aggra 
vatcd 
assault 



21 

12 

4 

42 

48 



30 

6 
20 

443 
62 
60 
53 

104 

47 

17 

2 

262 



4 

1 

9 

7 

3 

18 

4 

13 

31 

1 

13 

43 

35 

52 

39 

8 

14 

5 

129 

128 



2 

166 

47 

24 

44 

84 

101 

2 

1 

79 

481 

60 

33 

29 

10 

2 

141 

26 

7 

18 

4 

198 

7 

72 

10 

7 

63 

8 

64 

6 

45 



30 



Bur- 
glary— 
break- 
ing or 
enter- 
ing 



283 

83 
624 
536 
322 
156 
150 

89 
168 
5,177 
374 
878 
562 
566 
263 
611 
133 
817 

65 

92 
194 
139 

69 
130 
113 
140 
287 

58 
125 
254 
606 
488 
268 

47 
224 
165 
316 
2, 103 
639 

48 
179 
395 
314 
158 
537 
158 
969 
148 
212 
252 
714 
201 
3.50 
377 
126 

44 
726 
367 
7.38 
191 

84 
416 
261 
546 
427 
189 
304 

77 
619 

72 
910 

46 
324 



Larceny — 
theft 



$50 
and 
over 



53 
19 

166 

125 

239 
19 
66 
29 

(') 

932 

159 
79 

(') 
68 
13 

(') 
11 

198 
27 
22 
10 
34 
16 
16 
30 
19 
26 
9 
18 
36 

179 

(0 

160 

7 

(') 

31 

73 

744 

146 
4 

25 
(') 
(2) 
95 
70 

99 
(I) 
25 

30 
(■) 
(0 
20 

49 

(') 
7 
5 

225 

127 

164 
42 
26 

134 
29 

0) 
53 
18 

191 
41 

(') 

24 

132 

9 

86 



Un- 
der 
$50 



Auto 
theft 



381 

108 
783 
209 
507 
160 
306 
102 
170 

3,126 

1.014 

2,944 
903 

1,687 I 
583 
776 
464 

3,963 
166 
113 
248 
126 
267 
80 
447 
240 
789 
89 
308 
293 

1,540 

1,729 
768 
31 
235 
108 
434 

2,759 

812 

62 

168 

86 

(0 

1,004 
234 
223 
752 
153 
252 
381 
(2) 
653 
905 
538 
112 
82 
580 
252 

1,136 
403 
132 

1,050 
427 

2,267 

356 

298 

731 

237 

2,259 

88 

816 

64 

484 



111 

51 

614 

189 

936 

87 

347 

95 

78 

1,924 

249 

766 

232 

514 

131 

227 

154 

809 

26 

79 

71 

73 

87 

92 

157 

75 

184 

55 

95 

89 

406 

471 

135 

44 

130 

149 

103 

1.567 

267 

34 

62 

148 

151 

196 

561 

169 

58 1 

41 

145 

206 

(') 
103 
370 
169 
342 

88 
557 
589 
265 

S3 

50 
219 
149 
525 
378 
166 
440 
172 
893 

71 
417 

45 
121 



12 



Table 6. — Number of offenses known to the police, January to March, inclusive, 

i 935— Continued 



City 



Springfleld, Mass.. 

Syracuse, N. Y 

Tacoma, Wash 

Tampa, Fla 

Toledo, Ohio — 

Tulsa, Okla 

Utica, N. Y... 

Washington, D. C. 
Waterbury, Conn.. 

Wichita, Kans 

Wilmington, Del .. 

Worcester, Mass 

Yonkers, N. Y 

Youngstown, Ohio. 



Criminal 
homicide 



Murder, 
nonneg 
ligent 
man- 
slaugh- 
ter 



1 

3 

2 

'19 

15 



Man- 
slaugh- 
ter by 
negli- 
gence 



Rape 



Rob- 
bery 



1 

9 
16 
15 
70 
70 

3 
156 

7 
13 
10 
10 

2 
38 



Aggra- 
vated 
assault 



25 
31 
17 

1 
52 

5 

3 
18 

1 
11 
27 



Bur- 
glary- 
break- 
ing or 
enter- 
ing 



66 
159 
146 

83 
247 
304 

97 
608 

56 
174 

90 
146 

55 
226 



Larceny- 
theft 



$50 
and 
over 



27 

(') 
10 
31 
92 

112 
16 

283 
13 
20 
27 
61 
3 
7 



Un- 
der 
$50 



171 

290 

286 

160 

(2) 

513 

119 

1,295 

74 

499 

151 

65 

56 

264 



Auto 
theft 



87 

128 

94 

32 

328 

124 

65 

641 

95 

61 

51 

172 

41 

110 



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

• Not reported. 

• 18 of the 19 offenses of murder and nonnegligent manslaughter for the city of Utlca were reported as 
resulting from the sale of poison liquor. 

Offenses Known to Sheriffs, State Police, and Other Rural Officers, 1935 

In prior issues of the bulletin there have been presented figures 
showing the amount of crime reported hj a small number of law- 
enforcement agencies policing rural portions of the United States. 
Since the latter part of 1934, the Bureau has more extensively encour- 
aged such law-enforcement agencies to prepare crime reports and 
forward them to Washington, D. C. Accordingly, it is possible to 
present in table 7 a compilation for the first 3 months of 1935 
which has been based on reports received from 201 sheriffs, 7 State 
police units, and 96 law-enforcement agencies in villages classed as 
rural by the Bureau of the Census. 

No attempt has been made to indicate the number of offenses per 
100,000 inhabitants, due to the difficulty of ascertaining the popula- 
tion area represented. 

Table 7. — Offenses known, January to March 1935, inclusive, as reported by SOI 
sheriffs, 7 State police units, and 96 village officers 





Criminal 
homicide 


Rape 


Rob- 
bery 


Aggra- 
vated 
assault 


Bur- 
glary— 
break- 
ing or 
enter- 
ing 


Lar- 
ceny- 
theft 






Murder, 
nonneg- 
ligent 
man- 
slaugh- 
ter 


Man- 
slaugh- 
ter by 
negli- 
gence 


Auto 
theft 


Offenses known 


51 


54 


115 


244 


249 


1,965 


3.259 


656 







Offenses Known in Possessions of the United States 

In table 8 are presented available data on the number of offenses 
known to law-enforcement agencies in the possessions of the United 
States. The tabulation includes reports from Hawaii County, Hono- 
lulu (city and county), Territory of Hawaii; and Puerto Rico, and 
represents offenses committed in both rural and urban areas. 



13 



Table 8. — Number of offenses known in the United States possessions, January to 

March 1935 

(Population figures from Federal Census, Apr. 1, 1930] 





Criminal 
homicide 


Rape 


Rob- 
bery 


Aggra- 
vated 
assault 


Bur- 
glary— 
break- 
ing or 
enter- 
ing 


Larceny- 
theft 




Jurisdiction reporting 


Murder, 
nonneg- 
ligent 
man- 
slaugh- 
ter 


Man- 
slaugh- 
ter by 
negli- 
gence 


Over 

$50 


Un- 
der 
$50 


Auto 
theft 


Hawaii: 

Hawaii County, population 
73,325; number of oflenses 
known . , 




2 

3 

32 


3 

6 

10 


7 
7 


4 

9 

405 


12 
181 
142 


1 

25 
18 


58 
499 
983 


4 


Honolulu, city and county, 
population 202,923; num- 
ber of oflenses known 

Puerto Rico: 

Population 1,543,913; num- 
ber of offenses known 


4 

62 


64 

25 



Data from Supplementary Offense Reports 

In order to comply with suggestions received from police adminis- 
trators, the Bureau has collected since January 1935, a supple- 
mentary report of known offenses containing more detailed informa- 
tion as to the nature of the crimes committed. To date, the distri- 
bution of this report form has been restricted to the police depart- 
ments of cities with more than 100,000 inhabitants. The nature of 
the information provided by this form is indicated in tables 9, 9-A, 
and 9-B, which are based on reports received from 19 cities, with a 
combined population of 3,662,497. Reports were received from a 
much larger number of police departments, but the following com- 
pilations have been limited to the data which were apparently com- 
plete and correct with reference to the items appearing in the tables. 

Table 9. — 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 to 
March, inclusive, 1935; 19 cities over 100,000. 

(Total population 3,662,497, as estimated July 1, 1933, by the Bureau of the Census] 



Classification 


Number 
of actual 
offenses 


Classification 


Number 
of actual 
offenses 


Rape: 

Forcible . 


13 
41- 


Larceny— theft (except auto theft) 
(grouped according to value of article 
stolen): 
Over $50 




Statutory 










54 




Total 


$5 to $50 


5,650 


Robbery: 


314 
98 
61 
30 
10 


Under $5.. 


3,341 


Total 






9,761 




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




Chain store ... . 




Residence 


116 

130 

9,506 


Bank.. 




Total 


503 


All other 




Total 




Burglary— breaking or entering: 


1,199 
535 

1,939 
156 


9,751 


Residence (dwelling): 


Auto theft: 

Joy-riding 




Committed during night 


1,417 


All other (store, ofDce, etc.): 

Committed during night 

Committed diirine dav 


All other 


1,661 


Total 




3,078 








Total 


3.829 









14 

Information regarding the number of stolen automobiles recovered 
may be found in table 9-A. The figure representing the number of 
automobiles stolen during the first quarter of this year (3,078) is, of 
course, limited to cases of auto theft committed or first reported to 
the police during the first 3 months of 1935. On the other hand, 
the figure representing the number of automobiles recovered (2,675) 
represents all locally stolen automobiles recovered during the first 
quarter of the year. It will be apparent that there will be some 
instances in which the automobiles were stolen in 1934 and were 
not recovered until some time this year. The number of stolen 
automobiles recovered constitutes 86.9 percent of the number re- 
ported stolen during the first 3 months of 1935. 

Table 9-A. — Recoveries of stolen automobiles, January to March, inclusive, 1935; 

19 cities over 100,000 

[Total population 3,662,497, as estimated July 1, 1933, by the Bureau of the Census] 

Number of automobiles stolen 3,078 

Number of automobiles recovered 2, 675 

Percentage recovered 86. 9 

Table 9-B includes information regarding the value of property 
stolen, and the value of property recovered during the period covered, 
with subdivisions as to the type of property involved. The total 
value of property stolen as reported by the police departments of the 
19 cities included in this table was $1,149,238.43, and the value of 
property recovered during the same period was $788,029.50. It will 
be observed that the value of stolen automobiles constitutes approxi- 
mately two-thirds of the total property stolen. Exclusive of auto- 
mobiles, the value of propertj^ stolen was $488,742.94, whereas the 
value of property recovered was $185,775.95. 

The figures regarding property recovered include all recoveries 
during the first quarter of 1935, even though the theft of some of the 
property occurred during a prior period. The value of property 
stolen, however, is limited to thefts occurring during the first 3 
months of 1935. 

Table 9-B. — Value of property stolen and value of property recovered with divisions 
as to type of property involved. January to March, inclusive, 1935; 19 cities 
over 100,000 

[Total population 3,662,497, as estimated July 1, 1933, by the Bureau of the Census] 



Type of property 



Currency, notes, etc... 

Jewelry and precious metals - 

Furs 

Clothing 

Locally stolen automobiles... 
Miscellaneous 

Total .-.. 



Value of prop- 
erty stolen 



Value of prop- 
erty recovered 



$105, 442. 72 

191, 855. 58 

10, 230. 30 

53, 444. 85 

660, 495. 49 

127.769.49 



1, 149, 238. 43 



$21, 467. 30 

100, 542. 56 

2, 606. 50 

19, 104. 63 
602, 253. 55 

42, 054. 96 



788, 029. 50 



Number of Police Department Employees, 1934 

In the first quarterly issue of the bulletin for last year, there was 
included a table showing the average number of police department 
employees, together with the number of such employees for each 1,000 
inhabitants, based on reports from cities with a population in excess 
of 100,000 received at the Federal Bureau of Investigation during 



15 

1933. A similar compilation, based on the reports forwarded to the 
Bureau during 1934, is presented in table 10. 

In considering the number of crimes committed in individual cities, 
as sho\vn in table 6, it is suggested that attention also be given to the 
number of police department employees, since there may be a definite 
relationship between those two factors. It should be observed that 
the figures representing the number of employees include civilian 
personnel. 

In calculating the number of employees per 1,000 inhabitants, the 
population data employed were taken from the Federal census, April 
1,1930. 

Table 10. — Number of police department employees, 1934 



City 



Akron, Ohio 

Albany, N. Y.. 

Baltimore, Md 

Birmingham, Ala 

Boston, Mass 

Bridgeport, Conn — 

Buffalo, N. Y.. 

Cambridge, Mass 

Camden, N. J 

Canton, Ohio 

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 

El Paso, Tex 

Erie, Pa 

Evansville, Ind 

Fall River, Mass 

Flint, Mich 

Fort Wayne, Ind 

Fort Worth, Tex 

Gary, Ind 

Grand Rapids, Mich 

Hartford, Conn 

Houston, Tex 

Indianapolis, Ind 

Jacksonville, Fla 

Jersey City, N. J 

Kansas City, Kans... 

Kansas City, Mo 

Knoxville, Tenn 

Long Beach, Calif 

Los Angele?, Calif 

Louisville, Ky 

Lowell, Mass 

Lynn, Mass... 

Memphis, Tenn 

Miami, Fla 

Milwaukee, Wis 



Average 
number 
of em- 
ployees 


Num- 
ber per 
1,000 
inhabi- 
tants 




188 


0.7 




363 


2.8 




1,896 


2.4 




229 


.9 




2,362 


3.0 




2C6 


1.8 




1.263 


2.2 




230 


2.0 




209 


1.8 




69 


.7 




102 


.9 




6,373 


1.9 




617 


1.4 




1,563 


1.7 




311 


1.1 




250 


1.0 




199 


1.0 




385 


1.3 




148 


1.0 




3,810 


2.4 




126 


1.2 




206 


1.8 




79 


.8 




118 


1.0 




147 


1.4 




196 


1.7 




137 


.9 




123 


1.1 




202 


1.2 




129 


1.3 




253 


L5 




427 


2.6 




340 


1.2 




543 


1.5 




183 


1.4 




1,043 


3.3 




116 


1.0 




677 


1.7 




127 


1.2 




194 


1.4 




2, 678 


2.2 




468 


1.5 




170 


1.7 




173 


1.7 




258 


1.0 




178 


1.6 




1,147 


2.0 





City 



Minneapolis, Minn 

Nashville, Tenn. 

Newark, N. J... 

New Bedford, Mass... 

New Haven, Conn 

New Orleans, La 

New York, N. Y 

Norfolk, Va.- 

Oakland, Calif 

Oklahoma City, Okla. 

Omaha, Nebr 

Paterson, N. J 

Peoria, 111 

Philadelphia, Pa 

Pittsburgh, Pa 

Portland, Oreg 

Providence, R. I 

Reading, Pa 

Richmond, Va.. 

Rochester, N. Y 

St. Louis, Mo 

St. Paul, Minn 

Salt Lake City, Utah. 

San Antonio, Tex 

San Diego, Calif 

San Francisco, Calif... 

Scranton, 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 

Waterbury, Conn 

Wichita, Kans 

Wilmington, Del 

Worcester, Mass 

Yonkers, N. Y 

Youngstown, Ohio 



Average 
number 
of em- 
ployees 



494 
200 

1,320 
226 
411 
855 
18, 863 
252 
374 
211 
250 
278 
123 

5,119 

1,096 
431 
524 
157 
284 
456 

2,267 
343 
155 
215 
204 

1,356 
171 
659 
150 
99 
116 
335 
483 
104 
112 
413 
240 
135 
167 

1,381 
190 
103 
150 
400 
290 
169 



Num- 
ber per 

1,000 
inhabi- 
tants 



1.1 
1.3 
3.0 
2.0 
2.5 
1.9 
2.7 
1.9 
1.3 
1.1 
1.2 
2.0 
L2 
2.6 
1.6 
1.4 
2.1 
1.4 
1.6 
1.4 
2.8 
1.3 
1.1 

.9 
1.4 
2.1 
1.2 
1.8 
1.4 
1.0 
1.0 
2.2 
2.3 
1.0 
1.1 
1.4 
1.9 
1.0 
1.6 
2.8 
1.9 

.9 
1.4 
2.0 
2.2 
1.0 



133786—35 3 



16 

ANNUAL RETURNS, 1934 

■ The system of uniform crime reporting provides for the submission 
by police organizations of annual reports to the Federal Bureau of 
Investigation based on the number of offenses known, offenses cleared 
by arrest, the number of persons held for prosecution, and the number 
of persons arrested but later released without being caused to face 
criminal charges. 

As defined under the system of uniform crime reporting, an offense 
is considered to be cleared by arrest when the offender is apprehended 
and held or turned over for prosecution. Included in this definition 
are the so-called "exceptional clearances" such as instances where 
the offender commits suicide or is not available for prosecution due 
to the fact that he is already in the custody of other authorities on a 
different charge and cannot be made available to the local poHce for 
prosecution. 

Although in general the type of data submitted by the individual 
police departments for 1934 discloses a marked improvement, as 
compared with prior years, a number of instances occurred where it 
was deemed advisable to exclude the reports from the tabulations. 
In some of these instances the number of offenses listed as cleared by 
arrest was identical with the number of persons hsted as held for 
prosecution, indicating a failure to distinguish between those two 
types of data. Obviously, the 2 sets of figures need not be the 
same, since the arrest of 2 or more individuals, jointly involved in 
the commission of a single offense, would clear only 1 crime, while 
the arrest of 1 individual who had committed several offenses would 
clear several crimes. 

It appeared in other instances that the number of offenses of auto 
theft listed as cleared by arrest was unusually large, indicating that 
the figure possibly represented stolen automobiles recovered rather 
than the number of offenses cleared by the arrest of the offender. In 
still other cases it was observed that for a given offense the number 
of cleared offenses was high in comparison with the number of persons 
listed as held for prosecution, whereas in some instances the opposite 
set of facts was observed. 

In all instances where there were any of the above indications that 
the reports had not been prepared in accordance with the procedure 
outlined in the manual. Uniform Crime Reporting, an attempt was 
made to ascertain definitely whether the report had been prepared in 
accordance with uniform practice. When it was learned that the 
reports were not uniformly prepared, or when it appeared highly 
probable that such was the case, the reports were not included in the 
compilation of data appearing in the tables presented in the following 
pages. 

The report form used in obtaining information regarding the num- 
ber of persons arrested by local law enforcement agencies included 
among others the following classifications: Violation of road and driving 
laws, parking violations, and traffic and motor veliicle laws. Examina- 
tion of the reports received indicated that in a fairly large number of 
cases the data for the three preceding classes were not properly sub- 
divided. In other words, the figures were complete but they were not 
assigned to the proper classes. Accordingly, in the tables which 
follow showing the number of persons arrested for all types of viola- 
tions, persons charged with the three types of acts referred to above 



17 

have been listed opposite the following classification, "traflBc and 
motor vehicle laws." Immediatel}^ following those tables, there have 
been included compilations showing the number of persons arrested 
for each of the three types of violations enumerated above. The 
nature of the cases to be included in each of those classes has been 
indicated in the comment preceding those compilations. 

With reference to the compilation of data pertaining to persons 
arrested by the police but released without being held for prosecu- 
tion it is important to note that the figures reported should not include 
individuals arrested and turned over to other authorities. In a few 
cases, it has been ascertained that such instances have been included 
in the figures listed on the report forwarded to the Federal Bureau of 
Investigation. It is, of course, possible that some such cases have 
been hsted without the fact being known to the Bureau, and it is, 
therefore, possible that the figm-es pertaining to persons released are 
to some extent inflated. 

If entries regarding individuals released without being formally 
charged were limited to the classifications relating to violations of 
motor vehicle and traffic laws, such reports from cities with popula- 
tion in excess of 10,000 were not employed in the tabulation of data 
regarding persons released, it being assumed that the reports were 
probably incomplete in that respect. 

Examination of the reports indicated that in a few instances the 
figures for two or more offense classes had been combined. Such 
grouping of the data generally occurred in connection wdth the offense 
classes which were first included in the annual report of the persons 
arrested for 1933. Since the number of instances in which data for 
two or more classes were combined was quite small, the unclassified 
figures were divided among the separate classes in the ratio in which 
data were reported by other cities in the same population group. 

Offenses Known and Offenses Cleared by Arrest, 1934 

In table 11 there is shown the number of offenses reported for the 
calendar year 1934 by the police departments of 793 cities with an 
aggregate population of 30,576,036. The number of those offenses 
which were cleared by arrest is also shown. It should be observed 
that in a few instances the data are based on the reports of a smaller 
number of police departments as indicated in the footnotes to the 
table. 

Under the system of uniform crime reporting, it is proper to score 
a case as cleared when one of the persons involved in the commission 
of the offense has been apprehended and held for prosecution even 
though two or more persons were jointly involved in the crime. It 
will be noted, therefore, that the data relativ^e to cleared cases indicate 
the number of offenses in each of which at least one of the offenders 
has been apprehended and held for prosecution. The preceding 
statement is sybject to the qualification that the figures representing 
cleared cases include so-called "exceptional clearances." They are 
instances in which the identity and location of the offender are known 
to the pohce, but for some reason beyond the control of the police, he 
cannot be made available for prosecution. An example is a case in 
which the offender is incarcerated for a different crime. 

Examination of the data in table 11 discloses that the proportion 
of cleared cases is considerably larger in instances of crimes against 
the person than in cases of crimes against property. Further examina- 



18 

tion of the table reveals that in general the cities with more than 
100,000 inhabitants reported a lower percentage of cleared cases 
than the smaller communities. 

During 1934 there was reported to the Bureau information regard- 
ing offenses which were cleared by arrest during that year which 
had been listed as not cleared in reports for prior years. This informa- 
tion is listed in table 11-A. 

There is presented in table 12 a compilation showing the relation- 
ship between the number of known offenses, the number cleared by 
arrest, and the number of persons held for prosecution for those 
offenses. In examining that tabulation it should be noted that the 
figures representing the number of cleared cases include all offenses 
disposed of by arrest during the calendar year 1934 irrespective of 
when they were committed. In other words, table 12 includes 
offenses listed as cleared in both table 11 and table 11-A. 

The compilation appearing in table 12 discloses that for all offense 
classes except murder and nonnegligent manslaughter, manslaughter 
by negligence, and rape, the number of persons charged was less than 
the number of offenses cleared by arrest. The figures for individual 
population groups disclose, however, certain variations from that 
general relationship. 

The data presented in table 12 should be interpreted as follows: 
With reference to group I cities, of each 100 offenses of murder known, 
80 were cleared by the arrest of 92 individuals who were held for 
prosecution. It will be remembered, however, that the figures 
representing cleared offenses include all cases cleared during the year 
irrespective of when the crimes were committed. Similarly, the data 
pertaining to persons held for prosecution include all persons so held 
during 1934 even though the offenses involved had been committed 
in some prior period. On the other hand, the figures representing 
known offenses are limited to crimes committed or first reported to 
the police during the calendar year 1934. Since the proportion of 
offenses cleared in a subsequent period will generally not vary greatly 
from one year to another, it is believed the information presented in 
table 12 reflects the true relationship existing among the three types 
of data included in the table. 

In connection with the figures for manslaughter by negligence, it 
will be observed that the number of persons held for prosecution 
exceeds the number of known offenses. This is doubtless the result 
of the practice in many communities of taking into custody and charg- 
ing with manslaughter the operator of an automobile which has been 
involved in a fatal accident. In a large number of those cases it is 
subsequently found that the driver of the vehicle was not guilty of 
criminal negligence and no offense of that character is included in the 
report of known offenses. However, the person was arrested and 
made available to the authorities responsible for prosecutive action, 
and the circumstances are properly represented by an entry showing 
that the operator of the vehicle was taken into custody and held 
for prosecution. 

Portions of the data appearing in table 12 are also presented 
graphically in figure 1 . 



19 



Table 11. — Offenses known, offenses cleared by arrest, and percentage of offenses 
cleared by arrest, 1934, by population groups 



[Population as estimated July 1, 1933, by the Bureau of the Census] 








Criminal 
homicide 


Rape 


Rob- 
bery 


Aggra- 
vated 
assault 


Bur- 
glary— 
break- 
ing or 
enter- 
ing 


Lar- 
ceny- 
theft 




Population group 


Murder, 
nonneg- 
ligent 
man- 
slaugh- 
ter 


Man- 
slaugh- 
ter by 
negli- 
gence 


Auto 
theft 


GROUP I 

21 cities over 250,000; total population, 
14,118,300: 

Number of offenses known 

Number of oflenses cleared by 
arrest 


1,067 

799 

74.9 

325 

271 

83.4 

198 

162 

81.8 

143 

126 

88.1 

145 

122 

84.1 

73 

60 

82.2 

1,951 

1,540 

78.9 


587 

433 

73.8 

172 

152 

88.4 

106 

98 

92.5 

133 

124 

93.2 

122 

113 

92.6 

62 

62 

83.9 

1,182 

972 

82.2 


1,020 

745 

73.0 

284 

261 

91.9 

181 

165 

91.2 

164 

155 

94.5 

185 

159 

85.9 

145 

133 

91.7 

1,979 

1,618 

81.8 


23, 797 

7,353 

30.9 

2,511 

851 

33.9 

2,084 

654 

31.4 

1,390 

500 

36.0 

1,181 

396 

33.5 

578 

183 

31.7 

31, 541 

9,937 

31.5 


6,755 

4,294 

63.6 

2,438 

1,845 

75.7 

2,525 

2,092 

82.9 

1,264 

1,061 

83.9 

834 

709 

85.0 

480 

405 

84.4 

14,296 

10,406 

72.8 


61,346 
17, 621 

28.7 

17,144 

3,476 

20.3 

10, 936 

2,933 

26.8 

9,933 

2,494 

25.1 

9,283 

2,479 

26.7 

5,295 

1,527 

28.8 

113,937 

30,530 

26.8 


1 120, 246 

29, 911 

24.9 

> 34, 914 

7,686 

22.0 

29,198 

7,099 

24.3 

24, 780. 

5,807 

23.4 

23, 232 

6,253 

26.9 

11, 179 

3,398 

30.4 

< 243, 549 

60, 154 

24.7 


'34,788 
3,729 


Percentage of offenses cleared by 
arrest 


10.7 


GROUP II 

28 cities, 100,000 to 250,000; total pop- 
ulation, 3,983,695: 

Number of oflenses known 

Number of offenses cleared by 
arrest . .- .. 


» 13, 233 
1,896 


Percentage of oflenses cleared by 
arrest 


14.3 


GROUP m 

51 cities, 50,000 to 100,000; total popu- 
lation, 3,490,565: 

Number of oflenses known 

Number of oflenses cleared by 
arrest 


7,343 
1,139 


Percentage of oflenses cleared by 
arrest 


15.6 


GROUP IV 

90"cities, 25,000 to 50,000; total popula- 
tion, 3,135,569: 

Number of offenses known 

Number of oflenses cleared by 
arrest 


6,520 
1,154 


Percentage of oflenses cleared b y 
arrest . . 


17.7 


GROUP V 

234cities, 10,000 to 25,000; total popu- 
lation. 3,572,021: 

Number of oflenses known 

Number of oflenses cleared by 


6,450 
1,127 


Percentage of oflenses cleared by 
arrest 


20.7 


GROUP VI 

369 cities under 10,000; total popula- 
tion, 2,275,886: 

Number of offenses known 

Number of oflenses cleared by 
arrest ...- ... 


2,193 
692 


Percentage of oflenses cleared by 
arrest- 

Total, 793 cities; total popula- 
tion, 30,576,036: 
Number of oflenses known. 
Number of oflenses cleared 
by arrest 


27.0 

« 69, 627 
9,637 


Percentage of oflenses 


13.9 







' The number of known offenses of larceny- theft and the number cleared are based on the reports from 
20 cities with a total population of 13,819,400. 

' The number of known offenses of auto theft and the number cleared are based on the reports from 18 
cities with a total population of 9,872,000. 

3 The number of known oflenses of larceny— theft and auto theft and the number cleared are based on the 
reports from 27 cities with a total population of 3,826,695. 

* The number of known oflenses of larceny— theft and the number cleared are based on the reports from 791 
cities with a total population of 30,120,136. 

• The number of known oflenses of auto theft and the number cleared are based on the reports from 789 
cities with a total population of 26,172,736. 



20 

Table 11-A. — Number of offenses cleared by arrest during 1934 which were 
reported during some prior year as not cleared 



Population group 



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



Total, groups I- VI. 



Criminal 
homicide 



Murder, 
nonneg- 
ligent 
man- 
slaugh- 
ter 



58 
2 
6 

10 
2 



77 



Man- 
slaugh- 
ter by 
negli- 
gence 



Rape 



28 
1 
1 
4 
1 
1 



36 



Rob- 
bery 



1,104 
257 
44 
25 
26 
17 



1,473 



Aggra- 
vated 
assault 



70 
1 

20 
4 
5 
3 



103 



Bur- 
glary— 
break- 
ing or 
enter- 
ing 



1,399 
509 
110 
125 
215 
49 



2,407 



Lar- 
ceny- 
theft 



935 
759 
143 
160 
242 
50 



2,289 



Auto 
theft 



124 
70 
58 
59 
58 
19 



388 



21 

Table 12. — Offenses known, offenses cleared by arrest, and persons charged (held 
for 'prosecution) , 1934- Number per 100 known offenses 

[Population as estimated July 1, 1933 by the Bureau of the Census] 





Criminal 
homicide 


Rape 


Rob- 
bery 


Aggra- 
vated 
assault 


Bur- 
glary— 
break- 
ing or 
enter- 
ing 


Lar- 
ceny- 
theft 




Population group 


Murder, 
nonneg- 
ligent 
man- 
slaugh- 
ter 


Man- 
slaugh- 
ter by 
negli- 
gence 


Auto 
theft 


GROUP I 

21 cities over 250,000; total population, 
14,118,300: 
Offenses known . 


100.0 
80.3 
92.4 

100.0 
84.0 
87.1 

100.0 
84.3 
89.4 

100.0 
95.1 
96.6 

100.0 
85.5 
84.8 

100.0 
82.2 
84.9 


100.0 

73.9 

157.4 

100.0 

89.0 

128.5 

100.0 
94.3 
93.4 

100.0 
97.0 
9L7 

100.0 
92.6 
95.1 

100.0 
83.9 
83.9 


100.0 
75.8 
88.2 

100.0 

92.3 

109.9 

100.0 
91.7 
93.9 

100.0 

97.0 

116.5 

100.0 

86.5 

103.8 

100.0 
92.4 
95.2 


100.0 
35.5 
20.0 

100.0 
44.1 
41.4 

100.0 
33.5 
34.3 

100.0 
37.8 
43.6 

100.0 
35.7 
39.4 

100.0 
34.6 
39.6 


100.0 
64.6 
62.8 

100.0 
75.7 
68.7 

100.0 
82.9 
85.1 

100.0 
84.3 
93.9 

100.0 
85.6 
99.8 

100.0 
85.0 
85.0 


100.0 
31.0 
14.6 

100.0 
23.2 
20.2 

100.0 
27.8 
23.9 

100.0 
26.4 
23.1 

100.0 
29.0 
22.7 

100.0 
29.8 
29.0 


1 100. 
25.7 
19.2 

« 100. 
24.2 
22.6 

100.0 
24.8 
22.4 

100.0 
24.1 
21.9 

100.0 
28.0 
25.8 

100.0 
30.8 
27.9 


2 100. 


Ollenses cleared by arrest.. . 


11.1 


Persons charged 


8.3 


GROUP 11 

28 cities, 100,000 to 250,000; total 
population, 3,983,695: 
Offenses known 


» 100. 


Oflenses cleared by arrest 


14.9 


Persons charged 


12.6 


GEOUP m 

51 cities, 50,000 to 100,000; total popula- 
tion, 3,490,565: 
Offenses known.. . . 


100.0 


Offenses cleared by arrest 


16.3 


Persons charged.. 


14.4 


GROUP IV 

90 cities, 25,000 to 50,000; total popula- 
tion, 3,135,569: 
Offenses known 


100.0 


Offenses cleared by arrest 


18.6 


Persons charged.. 


15.1 


GROUP V 

234 cities, 10,000 to 25,000; total popula- 
tion, 3,572,021: 
Offenses known 


100.0 


Offenses cleared by arrest. 


21.7 


Persons charged.. 


19.9 


GROUP VI 

369 cities under 10,000; total popula- 
tion, 2,275,886: 
Offenses known 


100.0 


Offenses cleared by arrest 


27.9 


Persons charged.. 


29.3 






TOTAL GROUPS I-VI 

793 cities; total population, 30,576,036: 
Offenses known 


100.0 
82.9 
90.7 


100.0 

83.0 

129.8 


100.0 
83.6 
96.2 


100.0 
36.2 
24.8 


100.0 
73.5 
73.4 


100.0 
28.9 
18.3 


•100.0 
25.6 
21.4 


« 100. 


Oflenses cleared by arrest. 


14.4 


Persons charged 


12.0 







' Figures for larceny— theft are based on the reports from 20 cities with a total population of 13,819,400. 
' Figures for auto theft are based on the reports from 18 cities with a total population of 9,872,000. 
« Figures for larceny— theft and auto theft are based on the reports from 27 cities with a total population 
of 3,826,695. 
• Figures for larceny— theft are based on the reports from 791 cities with a total population of 30,120,136. 
» Figures for auto theft are based on the reports from 789 cities with a total population of 26,172,736. 



22 



RELATION BETWEEN OFFENSES 

KNOWN, OFFENSES CLEARED, 

AND PERSONS CHARGED 

(HELD FOR PROSECUTION) 

1934 



MURDER, N0NNE6LIGENT MANSLAUGHTER 



% 




/■ 




JFFENSES 


>■;■■■ :■■;■ "; 

CLEARED^: 




%MMw;r//M/ar;M///M^mM!.S//://m^^^^ 


PERSONS 


CHARGEai 



ROBBERY 



y// 



•"■wwM'/''m>"^/ '""'"■ 



wy/ww 



^OFFENSES Y^nG^W./////////. 



„^^^ 



OFFENSES CLEARED 
PERSONS CHARGED 

BURGLARY 



'A 



OFFENSES KNOWtl 

/ 

OFFENSES CLEARED 
PERSONS CHARGED 

LARCENY 



OFFENSES KNOWN 



W 



Y7 



yf/..v///-vy/f" ///, v,/////////^/ ,^/> 



OFFENSES CLEARED 
PERSONS CHARGED 

AUTO THEFT 






^&m: 



OFFENSES^ ^KNOWN.-;,//'- 



OFFENSES CLEARED 
PERSONS CHARGED 



L 


!'W'; ;m.7-""-/';' ' ,...,.... 

OFFENSES KNOWN 


-^ 










f 


OFFENSES CLEARED 
















PERSONS CHARGED 






AGGRAVATED ASSAULT 




1: 


orPENSES ' Kr;owN /", 



''■y^■■ 



y.M. 



100,0 
82.9 
90.7 

100.0 
73.5 
73.4 

100.0 
36.2 
24.8 

100,0 
28.9 
18.3 

100.0 
25.6 
21.4 

100.0 
14.4 
12.0 



Figure l. 



23 

Persons Charged {Held for Prosecution), 1934 

Table 14 shows the number of persons made available for prosecu- 
tion and the rate per 100,000 inhabitants. Due to the fact that in 
some instances separate figures for persons charged with violation of 
road and driving laws, parking violations, and other traffic and 
motor vehicle laws were not available in table 14, the classification 
"traffic and motor vehicle laws" includes all persons charged with 
those offenses. Instances in which separate figures were available 
for those classes have been represented in table 14-A. 

In table 13 there is presented a percentage distribution of persons 
charged (held for prosecution). An examination of tables 13 and 14 
reveals that 1,179,287 (51.1 percent) of the individuals involved were 
charged by the police with violation of some type of motor vehicle 
or traffic law. In addition, 455,616 (19.8 percent) were charged with 
drunkenness; 136,881 (5.9 percent) with disorderly conduct; and 
65,567 (2.8 percent) with vagrancy; making a total of 1,837,351 
(80 percent) charged with the preceding types of offenses. 

Table 14 indicates that the following persons were made available 
for prosecution for major crimes: 



Stolen property (receiving, 

etc.) 4,038 

Forgery and counterfeiting 3, 040 

Rape 1,903 

Narcotic drug laws 2, 317 

Weapons (carrying, etc.) 5, 663 



Murder 1,769 

Manslaughter by negligence.. 1, 534 

Robbery 7,819 

Aggravated assault 10, 490 

Burglary 20, 898 

Larceny 52, 907 

Auto theft 8, 332 

Embezzlement and fraud 6,550 Total 127,260 

It should be remembered that the preceding figures are based on 
reports of police departments policing only about one-fourth of the 
population of the entire country. 

Further examination of the table discloses that for offenses of 
criminal homicide, rape, and robbery the number of persons held for 
prosecution per unit of population is higher for cities in groups I and 
II than for groups consisting of smaller cities. However, this relation 
does not occur without exception in the figures for any other offense 
class. 

It is of interest to note that for driving while intoxicated the lowest 
rate of persons charged appears in group I cities, while the highest 
rate for this offense is reported by the smallest communities. The 
same trend has been noted in similar tabulations for 1932 and 1933. 

With reference to the data for vagrancy and disorderly conduct, it 
is of some significance to note that it is the practice of some law- 
enforcement agencies to place such charges in cases of arrests for 
prostitution and other forms of commercialized vice. In view thereof, 
the figures in the table for the latter type of violation are probably 
quite conservative. 

Figure 2 shows graphically the number of persons for each 100,000 
inhabitants held for prosecution for some of the more serious types 
of crimes. 



24 



Table 13. — Percentage distribution of persons charged {held for prosecution), 1934 

[793 cities; total population, 30,576,036] 



Oflense charged 



Criminal homicide: 

(a) Murder and nonnegligent man- 
slaughter 

(6) Manslaughter by negligence 

Robbery 

Aggravated assault 

Other assaults 

Burglary— breaking or entering 

Larceny— theft 

Auto theft.- 

Embezzlement and fraud 

Stolen property; buying, receiving, pos- 
sessing 

Forgery and counterfeiting 

Rape 



Percent 



0.08 
.07 
.34 
.45 

1.83 
.91 

2.29 
.36 
.28 

.18 
.13 



Offense charged 



Prostitution and commercialized vice 

Other sex offenses 

Narcotic drug laws 

Weapons; carrying, possessing, etc 

Offenses against the family and children. 

Liquor laws... 

Driving while intoxicated 

Trafljc and motor vehicle laws. 

Disorderly conduct 

Drunkenness 

Vagrancy 

Gambling 

All other oSenses 



Total. 



Percent 



L42 

.28 

.10 

.25 

.77 

.93 

1.02 

51.12 

5.93 

19.75 

2.84 

1.52 

7.09 



100. 00 





















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g 


















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1 — to* 
































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UJ 


CD z 


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a) 


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^H 
















o 


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ir 


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^H 
















Q. 


000 

TIES F 


1 
















a: 
o 


100, 

793 C 
50 


H 
















H 
















ij_ 


PER 

RTS OF 


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a: ^^ 


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25 

Table 14. — Persons charged (held for prosecution) , 1934; number and rates per 

100,000, by population groups 



(ropulation as e.stimated July 1, 1933, by the Bureau of the Census] 



Offense charged 



Group I 



Criminal homicide; 

(a) Murder and nonnegligent man- 
slaughter: 
Number of persons charged. 

Rate per 100,000 - 

(6) Manslaughter by negligence: 

Number of persons charged. 

Rate 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 per 100,000 

Burglary— breaking or entering: 

Number of persons charged. 

Rate per 100,000... 

Larceny— theft: 

Number of persons charged 

Rate per 100,000 

Auto theft; 

Number of persons charged 

Rate per 100,000. 

Embezzlement and fraud; 

Number of persons charged.. 

Rate per 100,000 

Stolen property; buying, receiving, 
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 commercialized vice: 

Number of persons charged 

Rate per 100,000 

Sex offenses (except rape and prostitu- 
tion): 

Number of persons charged 

Rate per 100,000 

Narcotic drug laws: 

Number 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 

Liquor laws: 

Number of persons charged 

Rate per 100,000 

Driving while intoxicated: 

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 :.. 



sS 



" a 
^ o 



Group II 



7.0 

924 
6.5 

4,767 
33.8 

4,239 
30.0 

17, 797 
126.1 

8,877 
62.9 

1 23, 953 
173.3 

* 2, 903 
29.4 

3.808 
27.0 



2,060 
14.6 

1,259 
8.9 

900 

6.4 

24, 930 
176.6 



2,675 
18.9 

1,608 
11.4 

2,588 
18.3 

8,783 
62.2 

5.077 
36.0 

5,075 
40.2 

<o 599. 417 
5, 003. 

71,306 
505.1 



giro 



283 
7.1 

221 
5.5 

1,039 
26.1 

1,676 
42.1 

8,474 
212.7 

3,471 
87.1 

«7,853 
205.2 

> 1, 663 
43.5 

965 
24.2 



Group 
III 



■o o 

in 

,-(CO 



Group 
IV 



177 
5.1 

99 
2.8 

714 
20.5 

2,148 
61.5 

4,299 
123.2 

2.618 
75.0 

6,550 
187.6 

1.056 
30.3 

610 
17.5 



> P 

r.2 

1 ^ 

i o, 

i o 



634 
15.9 


399 
11.4 


544 
13.7 


338 
9.7 


312 

7.8 


170 
4.9 


4.645 
116.6 


1,628 
43.8 


1.138 
28.6 


770 
22.1 


357 
9.0 


138 
4.0 


1.104 

27.7 


702 
20.1 


• 3. 662 
97.9 


1,639 
47.0 


6,089 
152.8 


3.617 
103.6 


3,192 
80.1 


3.487 
99.9 


II 235,521 
6, 275. 9 


114.125 
3, 269. 5 


21,475 
539.1 


15, 226 
436.2 



Group Group 
V VI 



o 

o. 



138 
4.4 

122 
3.9 

605 
19.3 

1,187 
37.9 

5,193 
165.6 

2.291 
73.1 

5.434 
173.3 

983 
31.3 

585 
18.7 



370 
11.8 

314 
10.0 

191 
6.1 

552 
17.6 



663 
21.1 

94 
3.0 

508 
16.2 

1,709 
54.5 

2,694 

85.9 

3,357 
107.1 

81.662 
2, 604. 4 

10,318 
329.1 



123 
3.4 

116 
3.2 

465 
13.0 

832 
23.3 

3,765 
105.4 

2,106 
59.0 

5,999 
167.9 

1,085 
30.4 

399 
11.2 



336 
9.4 

349 
9.8 

192 
5.4 

762 
21.3 



577 
16.2 

83 
2.3 

447 

12.5 

1.140 
31.9 

2.443 
68.4 

4,303 
120.5 

95, 908 
2, 685. 

11,697 
327.5 



S3 



o 

a 



62 
2.7 

52 
2.3 

229 
10.1 

408 
17.9 

2,581 
113.4 

1,535 
67.4 

3,118 
137.0 

642 
28.2 

6 183 
8.1 



239 
10.5 

236 
10.4 

138 
6.1 

303 
13.3 



284 
12.5 

37 
1.6 

314 
13.8 

714 
31.4 

1,574 
69.2 

3,385 

148.7 

52, 654 
2.313.6 

6,859 
301.4 



a 

3 
O. 
o 
P. 
— to 

2o 

Oto- 
..>o 

.Sco 

M.2 

Oi *^ 



o 



1,76» 
5.8 

1,534 
5.0 

7.819 
25.6 

10.490 
34.3 

42,109 
137.7 

20, 898 
68.3 

i 52, 907 
175.7 

» 8, 332 
31.8 

'6.550 
21.4 



4.038 
13.2 

3,040 
9.9 

1,903 
6.2 

32,720 
107.0 



6,107 
20.0 

2,317 
7.6 

5.663 
18.6 

» 17. 647 
58.2 

21.494 
70 3 

23,390 
76.6 

■'1,179,287 
4, 180. 7 

136. 881 
447.7 



26 



Table 14. — Persons charged (held for prosecution), 1934; number and rates per 
100,000, by population groups — Continued 



OSense charged 



Drankenness: 

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 



Group I 



11 

a 'I 

.£ « 
^ o 

CM O- 



205, 897 
1, 458. 4 

39, 035 
276.5 

19, 598 
138.8 

77, 398 
548.2 



Group II 



« H 
o 

!§• 

+3o cf 



79, 988 
2, 007. 9 

11,394 
286.0 

5,470 
137.3 

28, 603 
718.0 



Group 
III 



ii a 
o 

O O4 

to o 
O. 

So 
o io 

IS So- 
lo's 

1-1 CO 



47, 257 
1, 353. 8 

4,980 
142.7 

4,462 
127.8 

16, 023 
459.0 



Group 
IV 



8 



OS 
O to 

tOco 

tg 

•0.2 



o o 

O Q. 
en 



49, 486 
1, 578. 2 

3,363 
107.3 

2,981 
95.1 

19, 790 
631.1 



Group 
V 



2 ft 
p. 

® c^ 

•So=i 

■3SS 
o"l 

■«><CMC<3 

CO 

CM 



45, 559 
1, 275. 4 

5,148 
144.1 

1,729 
48.4 

13, 882 
388.6 



Group 
VI 



»CM 

So 

3.2 
» CD 

» a 

as o 
5S ft 

CO 



27, 429 
1, 205. 2 

1,647 
72.4 

774 
34.0 

7.962 
349.8 



P. 

o 
P. 

2p 



o a 
^ p 



03 

o 



455,616 
1, 490. 1 

65, 567 
214.4 

35, 014 
114.5 

163, 658 
535.2 



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



Population 



<1) 
(2) 
(3) 
(4) 



Cities 


Population 




Cities 


20 

27 

791 

18 


13,819,400 
3, 826, 695 

30, 120, 136 
9,872,000 


(5) 


789 

368 

792 

27 


(6)-. 


(7) 


(8) 





Population 




Cities 


26, 172, 736 


(9) . ... 


792 
19 
26 

789 


2, 268, 780 

30, 568, 930 

3, 740, 195 


(10) 

(11)- 

(12) 



30, 332, 536 

11,981,200 

3, 752, 798 

28, 208, 039 



In table 14-A there is presented information regarding the number 
of persons made available for prosecution for committing the following 
types of offenses: Violation of road and driving laws, parking viola- 
tions, and other traffic and motor vehicle laws. The compilation is 
based on reports of a smaller number of police departments than is 
indicated in table 14. The figures in table 14-A have been limited to 
those instances in which it appeared that the data for the above three 
classes had been properlj^ compiled. In the reports which were 
excluded it appeared probable that the information had not been 
grouped in accordance with the procedure outlined. The nature of 
the violations which should be included in each of the classes included 
in table 14-A is as follows: 

Violation of road and driving laws includes violations of the regu- 
lations with respect to the proper handling of a vehicle in order to 
prevent accidents. Examples are failure to obey traffic signal, 
improper speed, reckless driving, and operating with unsafe equip- 
ment. 

Parking violations includes all types of violations of parking regu- 
lations. 

Other traffic and motor vehicle laws includes violations not provided 
for in separate offense classes. Examples of cases to be listed here are 
failure to secure proper license for car or for driving, leaving scene of 
accident, lack of title, and obscured or defective markers. 



27 



Table 14-A. — Persons charged (held for prosecution), 1934; number and rates per 

100,000, by population groups 

[Population as estimated July 1, 1933, by the Bureau of the Census] 



Offense charged 



Road and driving laws: 

Number of persons charged 

Rate per ltX),000 

Parking violations: 

Number of persons charged 

Rate per 100,000.. 

Other traflBc and motor vehicle laws: 

Number of persons charged 

Rate per 100,000 



Group 
I 



?S 



o.ii 

'■S'3 



109, 125 
1, 363. 6 

243, 726 
3, 045. 5 

39, 606 
494.9 



Group 
II 



8 



■3 

. Oco 



GS o 



21, 920 
1, 555. 1 

35, 735 
2, 535. 2 

2.401 
170.3 



Group 
III 



Ooi 

s I 

S8°" 

2 -H 

"8.2 
I— t *.» 

o 

CO 



29, 296 
1, 428. 4 

44, 481 
2, 168. 8 

7,902 
385.3 



Group 
IV 



; a 
2 

'is 



9,517 
591.5 

16, 909 
1, 050. 9 

3,367 
209.3 



Group 
V 



: a 
o 



■2o=^ 

IM 



26, 003 
1, 362. 6 

23,000 
1, 205. 2 

6,987 
313.7 



Group 


*-> 


VI 


•"« 




^ 


fed- 


s^ 




s . 


3 « 


■5 Si 


■3 


fl 


a 


m O 


.sas 


S3 


•- o^. 


3 


^ O oo' 


-o< 


ss 


■3° 


o - 


.M Q, 




O 


§ 


E-i 



15, 303 
1, 178. 8 

5,904 
454.8 

4,606 
354.8 



211, 164 
1, 297. 2 

369, 755 
2,271.4 

63, 869 
392.4 



Persons Released (Not Held For Prosecution), 1934 

The annual reports received from law-enforcement agencies, in 
accordance with the system of uniform crime reporting, provide not 
only for information regarding the number of persons held for prosecu- 
tion, but also for data regarding persons taken into custody but 
released without having been formally charged with the commission 
of an offense. This t3^pe of information is presented in table 15, which 
is based on reports received from the police departments of 453 cities 
with an aggregate population of 13,339,695. The number of reports 
empWed in this compilation is considerably smaller than the number 
used in preparing table 14, because it was found in examining the 
reports that in some instances they contained definite statements to 
the effect that the desired information regarding persons released was 
not available, and in other instances there were either no entries 
whatsoever or entries were lunited to the classifications dealing with 
infractions of motor vehicle and traffic laws. In assemblLijg data 
regarding persons released, as presented in table 15, all such reports 
were excluded, with the exception that for group VI the reports were 
employed even though entries pertaining to persons released were 
limited to the classes covering violations of traffic and motor vehicle 
laws. 

It will be observed that the number of persons listed in table 15^ 
opposite "Suspicion" is quite large. In connection therewith, it 
should be noted that if a person were taken into custody because it 
was suspected that he had been involved in the commission of a spe- 
cific offense, his arrest and subsequent release without being held for 
prosecution should be Hsted opposite the offense class involved. On 
the other hand, entries in table 15 opposite "Suspicion" should be 
limited to instances in which persons were taken into custody because 
of circumstances which caused the police to believe that they had 
been involved in criminal activities of some nature. However, they 
were not taken into custody in connection with any specific offense. 
There is no information available to the Bureau which would make 
it possible to state to what extent the foregoing principles have been 



28 

followed in the preparation of information regarding the number of 
persons released. As heretofore indicated the manual entitled "Uni- 
form Crime Reporting", containing complete instructions relative to 
the preparation of crime reports, has been distributed to all contribu- 
tors of such data. However, from examination of the reports received 
it appears probable that in some instances the entries have been placed 
opposite " Suspicion " when they would have been more properly listed 
opposite some other offense class, in accordance with the foregoing 
explanation. 

In table 15 data regarding violators of all types of traffic and motor 
vehicle laws (except driving while intoxicated) have been included in 
the class entitled "traffic and motor vehicle laws." In table 15-A 
there is presented a tabulation which contains subdivisions in accord- 
ance with the nature of the violations concerned. 

The data presented in table 15 include instances in which persons 
were taken into custody and released by the police either because it 
was estabhshed that they were innocent of any wrong-doing, or 
because the poUce were unable to obtain sufficient evidence upon 
which to base criminal charges. In addition, the tabulation includes 
instances in which juveniles were arrested and subsequently released 
without being held for prosecution, even though it had been definitely 
established that they had committed certain offenses, because the 
complaining witnesses refused to proceed against them. There will, 
therefore, be included instances in which juvenile offenders were 
released to the custody of their parents or probation officers without 
formal charges having been placed against them. Likewise, the 
compilation includes individuals who were taken into custody and 
released with a reprimand or on the "golden-rule" principle, as is 
sometimes done in the case of violators of traffic and motor vehicle 
regulations. Persons summoned, notified, or cited to appear in court 
or at a police traffic bureau because of alleged violations, who failed 
to appear in response thereto, and who were not subsequently arrested, 
are also presented in table 15. 



29 



Table 15. — Persons released without being held for prosecution, 1934; number 
and rates per 100,000, by population groups 

[Population as estimated July 1, 1933, by the Bureau of the Censusl 



Offense charged 



Criminal homicide: 

(a) Murder and nonncgligent man- 
slaughter: 

Number of persons released. 

Rate per 100,000 - 

(6) Manslaughter by negligence: 

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 entering: 

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, receiving, possess- 
ing: 

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 commercialized 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 



Group 


Group 
II 


Group 
III 


9 cities over 
250,000; popula- 
tion, 5,784,100 


OS* 

III 

1^- 


2iS 

•s§.i 


86 
1.5 


24 
1.9 


15 
1.0 


139 
2.4 


17 
1.3 


11 
0.7 


832 
14.4 


99 

7.7 


75 
5.0 


472 
8.2 


41 
3.2 


49 
3.3 


3,909 
67.6 


108 
8.4 


110 

7.4 


921 
15.9 


133 
10.4 


287 
19.2 


3,187 
55.1 


410 
31.9 


595 
39.8 


318 
5.5 


114 
8.9 


116 

7.8 


198 
3.4 


17 
1.3 


21 
1.4 


152 
2.6 


26 
2.0 


45 
3.0 


124 
2.1 


19 
1.5 


15 
1.0 


189 
3.3 


5 
0.4 


16 
1.1 


6,332 
109.5 


36 
2.8 


30 
2.0 


171 
3.0 


13 
1.0 


53 
3.5 


46 
0.8 


21 

1.6 


6 
0.4 


350 
6.1 


9 
0.7 


37 
2.5 


182 
3.1 


30 
2.3 


105 
7.0 


1,378 
23.8 


61 

4.8 


31 
2.1 


176 
3.0 


41 
3.2 


59 
3.9 


195,498 
2, 498. 4 


42, 416 
3, 303. 7 


47, 366 
3, 167. 1 



Group 
IV 






J5 



So 
O ^ 

"g-2 

CO 



1 

0.1 

9 
0.8 

30 
2.5 

64 
5.4 

114 
9.5 



7.2 

295 
24.7 

23 
1.9 

4 
0.3 



20 

1.7 

22 
1.8 

4 
0.3 

23 
1.9 

8 
0.7 

7 
0.6 

17 
1.4 

7 
0.6 

36 
3.0 

86 
7.2 

7,618 
637.9 



Group 
V 



2«i^ 

O S'co 

CO .- 

5§a 
".0.2 



69 
3.2 

25 
1.2 

144 
6.7 

122 
5.7 

225 
10.5 

525 
24.6 

904 
42.3 

126 
5.9 

33 
1.5 



101 
4.7 

42 
2.0 

24 
1.1 

32 
1.5 

41 
1.9 

10 
0.5 

35 
1.6 

121 
5.7 

135 
6.3 

99 
4.6 

24, 128 
1, 129. 7 



Group 
VI 



■■3o 
oga 
0.2 

CD ^ t^ 



18 
1.2 

8 
0.6 

60 
3.5 

46 
3.2 

191 
13.2 

320 
22.1 

557 
38.5 

67 
4.6 

22 
1.6 



40 

2.8 

23 
1.6 

22 
1.5 

48 
3.3 

20 
1.4 

14 
1.0 

13 
0.9 

224 
15.5 

77 
5.3 

96 
6.6 

19, 842 
1,372.1 



aj CO 



»0 .4J 

a 

o! o 

o 

H 



213 
1.6 

209 
1.6 

1,230 
9.2 

794 
6.0 

4,657 
34.9 

2,272 
17.0 

5,948 
44.6 

764 
5.7 

295 
2.2 



384 
2.0 

245 
1.8 

260 
1.9 

6,501 
48.7 

306 
2.3 

104 
0.8 

461 
3.5 

669 
5.0 

1,718 
12.9 

557 
4.2 

2 236,867 
2, 081. 8 



> The number of persons released and rate per 100,000 for traflSc and motor vehicle laws are based on 
reports of 7 cities with a total population of 3,822,400. 

> The number of persons relea.sed and rate per 100,000 for traffic and motor vehicle laws are based on reports 
of 451 cities with a total population of 11,377,995. 



30 

Table 15. — Persons released vnthout being held for prosecution, 1934; number 
and rates -per 100,000, by population groups — Continued 



Offense charged 



Disorderly conduct: 

Number of persons released. 
Rate per 100,000 

Drunkenness: 

Number of persons released 
Rate per 100,000 

Vagrancy: 

Number of persons released 
Rate per 100,000 

Gambling: 

Number of persons released 
Rate per 100,000 

Suspicion: 

Number of persons released 
Rate per 100,000 

All other offenses: 

Number of persons released 
Rate per 100,000 



Group 
I 



I" 

US 
09 



7.446 
128.7 

47, 495 
821.1 

878 
15.2 

13, 836 
239.2 

3 68,769 
1,413.3 

22, 137 
382.7 



Group 
II 



od"- 

o a - 

O —I 

^o 

CO o 

._o o 



357 1 
27.8: 

2.599 
202.4 

752 
58.6 

23 
1.8 

3,766 
293.3 

629 
49.0 



Group 


Group 


Group 


III 


IV 


V 


o A°o 


O iO 


O J.-* 








o 3^- 


oa'^- 


oa"- 


° O.S 


o as 


2 O.S 


■=2? 


o o2 


O o 05 


o ft - 


o ft - 


<= o-It- 


S -H 


^ rt 




Ȥ 


So 


So 


•"o rt 


•2o - 


So - 


■»^_f a 


■*J o fl 


.-o 


oS.2 


•So. 2 


"«.2 


f— ( +j 






H 


lO 


.a< 


e* 


CO 




656 


371 


1,436 


43.9 


31.1 


67.2 


2.008 


4,239 


4,892 


134.3 


355.0 


229.0 


386 


1.373 


1,406 


25.8 


115.0 


65.8 


93 


78 


148 


6.2 


6.5 


6.9 


5,782 


2,872 


4.197 


386.6 


240.5 


196.5 


1,213 


1.072 


1.795 


81.1 


89.8 


84.0 



Group 
VI 



©^ CO 

•a 3'^ 

ft"^. 
m -' 

So 

COfH *J 
CO 



962 
66.5 

3. 360| 
232. 3 j 

4.198 
290.3 

127 
8.8 

3,638 
251.6 

898 
62.1 



".2 



—-a 

o! o 
o " 



11. 228 
84.2 

64.593 
484.2 

8,99S 
67.4 

14,305 
107.2 

< 89. 024 
716.7 

27, 744 
208.0 



3 The number of persons released and rate per 100,000 for suspicion are based on reports of 8 cities w ith a 
total population of 4,865,700. 

* The number of persons released and rate per 100,000 for suspicion are based on reports of 452 cities with 
a total population of 12,421.295. 



As previously indicated, some of the reports listed all types of 
violators of traffic laws (except driving while intoxicated) in a single 
figure. In table 15-A there are presented data for three types of vio- 
lations of traffic and motor vehicle laws, based on reports which were 
apparently correctly prepared in that respect. The nature of the 
violations included in each class is the same as indicated in the 
comment preceding table 14-A. 

Table 15-A. — Persons released without being held for prosecution, 1934; number 
and rates per 100,000, by population groups 

[Population as estimated July 1, 1933, by the Bureau of the Census] 



Offense charged 



Road and driving laws: 

Number of persons released 

Rate per 100,000... 

Parking violations: 

Number of persons released 

Rate per 100,000 

other traffic and motor vehicle laws: 

Number of persons released 

Rate per 100.000 



fed 


03 Oo 




Sft 


Sn 


S33 


t> o 
OS 


SoS 




""O 




S ft 

■3 a 


.2 3 

.■S ft 


-''- 


cSsg 

t— 1 


§1"- 




SBgi 




O O 


III: 

to 
ilation 


o2 


^s 


Ocs- 


I: 7 

00; p 
,300 


II: 

00 t 
ilatio 


IV: 

Oto5 
on, 9 


V: 

0to2 
on, 9 


>2S 


ftoj:; 
3oc5 


ftO ■^ 

aog 


&=-& 


ftgS 
3=ic3 


ftgS 
3S.2 


S"§.2 


fc,INCO 


S2ft 


SSft 


Km 3 


£Sa 


2 3.2 


O 


O 


o 


O 


O 


O 


9.072 


16, 471 


1,020 


959 


3,364 


3,568 


282.0 


2,482.4 


122.6 


105.3 


337.6 


657.3 


43,473 


20, 375 


40.771 


13, 067 


12, 603 


6,426 


1.351.2 


3, 070. 8 


4.901.0 


1, 434. 7 


1, 268. 1 


999.4 


888 


305 


768 


1.401 


690 


1,641 


27.6 


46.0 


92.3 


153.8 


69.4 


302.3 



r.g 

"»< o 

OS 
o 2 



34, 444 
481.0 

135, 714 
1. 895. 4 

5.663 
79.6 



31 



Percentage of Offenses Cleared by Arrest, 1931-34 

The data presented in table 16 show the percentage of offenses 
cleared during the years 1931 to 1934. The tabulation is based on 
reports received from the police departments of 24 cities with more 
than 100,000 inhabitants. The figures include all offenses cleared 
during the year for which the report was submitted regardless of 
whether the offense was committed during a prior year. For example, 
if an offense was committed during 1933 but not cleared by arrest 
until 1934, the information was included in the report for the latter 
year. In general, the tabulation does not show any substantial 
change in clearances during the 4-year period, 1931 to 1934. It will 
be noted, however, that the percentage of offenses of murder cleared 
increased from 81.0 in 1933 to 84.0 in 1934. Clearances for burglary 
show a substantial increase in 1934 (33.3), as compared with those for 
prior years, the lowest percentage of clearances for that offense 
occurring in 1932 (27.2). For offenses of robbery, aggravated 
assault, larcenj^, and auto theft, the percentage of clearances is higher 
for 1934 than for any of the prior years. 

Table 16. — Percentage of offenses cleared by arrest, 1931-34 
[24 cities over 100,000, total population 8,452,331, as estimated July 1, 1933, by the Bureau of the Census] 





Criminal 
homicide 


Rape 


Rob- 
bery 


Aggra- 
vated 
assault 


Bur- 
glary— 
break- 
ing or 
enter- 
ing 


Lar- 
ceny- 
theft 




Year 


Murder, 
nonneg- 
ligent 
man- 
slaugh- 
ter 


Man- 
slaugh- 
ter by 
negli- 
gence 


Auto 
theft 


1931 


82.9 
82.6 
81.0 
84.0 


98.6 
94.9 
88.5 
90.4 


88.8 
76.6 
68.9 
77.0 


37.5 
35.7 
35.8 
40.4 


71.0 
66.2 
66.2 
71.1 


27.6 
27.2 
27.6 
33.3 


122.2 
122.9 
124.5 
127.2 


» 11 1 


1932 


> 10.4 


1933 


> 10 8 


1934 


2 11.7 







1 The data for larceny— theft are based on reports of 23 cities with a total population of 8,153,431. 
' The data for auto theft are based on reports of 20 cities with a total population of 6,750,897. 



32 

DATA COMPILED FROM FINGERPRINT RECORDS 

During the first quarter of 1935 the Federal Bureau of Investigation 
examined 90,504 arrest records, as indicated by fingerprint cards, in 
order to obtain information regarding the age, sex, race, and previous 
criminal history of the persons represented. The total number of 
fingerprint cards received in the identification unit of the Bureau 
during the first 3 months of 1935 was, of course, substantially larger 
than 90,504. However, this tabulation has been limited to finger- 
print cards representing arrests for violations of State laws and muni- 
cipal ordinances. In other words, cards representing arrests for viola- 
tions of Federal laws or commitments to penal institutions have 
been excluded from this compilation. 

The tabulation of data from fingerprint records 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 offenses. 

Females constituted only 6.4 percent (5,832) of the 90,504 cases 
examined. The offenses with which they were most frequently 
charged were larceny, 1,048; commercialized vice, 733; vagrancy, 
389; assault, 352; drunkenness, 299. The compilation shows, m 
addition, that 133 females were charged with criminal homicide and 
177 with robbery during the first quarter of the year. 

Table 17. — Distribution of arrests by sex, Jan. 1-Mar. SI, 1935 



Offense charged 



Criminal homicide 

Robbery 

Assault — . 

Burglary — breaking or entering 

Larceny— theft 

Auto theft 

Embezzlement and fraud 

Stolen property; buying, receiving, possessing. 

Forgery and counterfeiting 

Rape - --- 

Prostitution and commercialized vice 

Other sex oflenses 

Narcotic drug laws 

Weapons; carrying, possessing, etc 

Offenses against family and children 

Liquor laws 

Driving while intoxicated 

Road and driving laws 

Parking violations 

Other traflBc and motor vehicle laws 

Disorderly conduct - 

Drunkenness - -- 

Vagrancy -- 

Gambling -..-. 

Suspicion 

Not stated 

All other offenses 



Number 



Total Male Female 



Total. 



1,535 
3,812 
5,672 
9,129 
13, 578 
2,755 
2,495 
1,093 
1,336 

963 
1,132 
1,097 

953 
1,382 

871 
2,541 
2,192 

398 
5 

818 
3,904 
7,761 
6,219 
1,084 
11,685 
1,266 
4,828 



90, 504 84, 672 



1,402 

3,635 

5,320 

8,989 

12, 530 

2,709 

2,380 

986 

1,227 

963 

399 

967 

814 

1,362 

851 

2,320 

2,140 

393 

5 

803 

3,479 

7,462 

5,830 

1,059 

10, 897 

1,195 

4,555 



133 

177 
352 
140 
1,048 
46 
115 
107 
109 



Percent 



733 

130 

139 

20 

20 

221 

52 

5 



15 

425 
299 
389 

25 
788 

71 
273 



6,832 



Total Male Female 



1.7 
4.2 
6.3 

10.1 

14.9 
3.0 
2.8 
1.2 
1.5 
1.1 
"1.3 
1.2 
1.1 
1.5 
1.0 
2.8 
2.4 
.4 

(') 

.9 
4.3 
8.6 
6.9 
1.2 

12.9 
1.4 
5.3 



100.0 



1.7 
4.3 
6.3 

10.6 

14.8 
3.2 
2.8 
1.2 
1.4 
1.1 
.5 
1.1 
1.0 
1.6 
1.0 
2.7 
2.5 
.5 

(') 

.9 
4.1 
8.8 
6.9 
1.3 

12.9 
1.4 
5.4 



2.3 
3.0 
6.0 
2.4 
18.1 
.8 
2.0 
1.8 
1.9 



12.6 

2.2 

2.4 

.3 

.3 

3.8 

.9 



(>) 



.3 

7.3 
5.1 
6.7 
.4 
13.6 
1.2 
4.7 



100.0 



100.0 



> Less than one-tenth of 1 percent. 



33 

Considering both males and females, the tabulation shows that 
14,197 (15.7 percent) of the persons arrested were less than 20 years 
old; 20,385 (22.5 percent) were between the ages of 20 and 24; and 
16,627 (18.4 percent) were between the ages of 25 and 29. This 
makes a total of 51,209 (56.6 percent) less than 30 years old. Further 
examination of the compilation showing the ages of persons arrested 
indicates that 484 were under 15 years of age and 450 were 15 years 
old. From that point there is a rapid increase in the number arrested 
for each age group up to age 19, as indicated by the following figures: 

Age: Number arrested 

16 1,784 

17 2,917 

18 4,051 

19 4,511 

As has been consistently indicated in prior similar compilations, 
the number of 19-year-olds arrested exceeds the number for any other 
single age group. The seriousness of crimes committed by youthful 
persons is indicated by the following Ust of charges placed against 
persons under 20 years of age: 

Murder 122 

Robbery 749 

Burglary 3,029 

Larceny 3, 112 

Auto theft 1, 083 

Carrying concealed weapons 162 

It is believed of significance to note further that persons less than 
30 years of age constituted approximately 50 percent of the total 
charged with murder and carrying concealed weapons during the 
first quarter of 1935, and approximately 75 percent of those charged 
with robbery and burglary during that period. 



34 



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35 

In almost 35 percent (31,427) of the cases examined during the first 
quarter, the persons concerned already had fingerprint cards on file 
in the Identification Division of the Federal Bureau of Investigation. 
Furthermore, in 2,024 cases the current fingerprint cards bore nota- 
tions indicating that the persons arrested had previous criminal 
records. This makes a total of 33,451 cases in wliich there was avail- 
able information concerning the previous criminal activities of the 
persons represented. In 21,420 of them the records show previous 
convictions. This constitutes 64 percent of the 33,451 cases referred 
to above, and 23.7 percent of the 90,504 records examined during the 
first quarter of 1 935. Many of the previous convictions were for major 
crimes. This is indicated by the following tabulation of the offenses 
of which the persons had been convicted: 



Criminal liomicide 203 

Robbery 1, 050 

Assault 1, 035 

Burglary - 2,880 

Larceny.., 4, 353 

Auto theft 799 

Embezzlement and fraud 667 

Stolen property (receiving, etc.) 135 



Forgery and counterfeiting 

Rape 

Narcotic drug laws 

Concealed weapons (carrying, etc.). 
Driving while intoxicated 



745 
168 
528 
317 
276 



Total 13, 162 



Examination of the following tables indicates that in a majority of 
instances the persons previously convicted of major crimes were 
currently charged with offenses similarly serious in nature. 



Table 19. — Number with previous fingerprint records — Arrests, Jan. 1-Mar. 31, 1935 



Offense charged 



Criminal homicide 

Robbery 

Assault --- --- 

Burglary — breaking or entering 

Larceny— theft 

Auto theft - 

Embezzlement and fraud 

Stolen property; buying, receiving, 

possessing 

Forgery and counterfeiting 

Rape 

Prostitution and commercialized 

vice. 

Other sex offenses.. 

Narcotic drug laws 

^yeapons; carrying, possessing, etc. 





Pre- 




vious 


Total 


finger- 




print 




record 


1,535 


331 


3,812 


1,741 


5,672 


1,651 


9,129 


3,272 


13, 578 


4,673 


2, 755 


897 


2,495 


1,056 


1,093 


295 


1,336 


524 


963 


229 


1,132 


393 


1,097 


239 


953 


535 


1,382 


417 



Oflense charged 



Ofienses against family and chil- 
dren.. 

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 

Total 



Total 



871 
2,541 
2,192 

398 
5 

818 
3,904 
7,761 
6,219 
1,084 
11, 685 
1,266 
4,828 



90, 504 



Pre- 
vious 
finger- 
print 
record 



204 
725 
473 
71 
1 
217 
379 

2,690 

2,872 
245 

4,325 
409 

1,563 



1 



31,427 



Table 20. — Percentage with previous fingerprint records — Arrests, Jan. 1-Mar. 

31, 1936 



Offense 



Narcotic drug laws.. 

Vagrancy 

Robbery 

Embezzlement and fraud 

Forgery and counterfeiting 

Suspicion 

Burglary — breaking or entering 

Disorderly conduct 

Prostitution and commercialized vice 

Drunkenness 

Larceny— theft 

Auto theft.. 

All other offenses 

Weapons; carrying, possessing, etc.. 



Percent 


56.1 


46.2 


45.7 


42.3 


39.2 


37.0 


35.8 


35.3 


34.7 


34.7 


34.4 


32.6 


32.4 


30.2 



Oflense 



Assault 

Liquor laws.. 

Stolen property; buying, receiving, poS' 

sessing 

Other traffic and motor vehicle laws 

Rape 

OlTonses against family and children 

Gambling.. 

Other sex offenses 

Criminal homicide 

Driving while intoxicated 

Parking violations ' 

Road and driving laws 



Percent 



29.1 
28.6 

27.0 
26.5 
23.8 
23.4 
22.6 
21.8 
21.6 
21.6 
20.0 
17 8 



> Only 5 fingerprint cards were received representing arrests for violation of parking regulations. 



36 






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38 

Further examination of the information pertaining to the criminal 
histories of the persons involved indicates that the present method of 
handling persons convicted of crime does not adequately protect 
society against the commission of additional offenses upon the libera- 
tion of prisoners from penal institutions. The compilation shows 
that 509 of the persons arrested and fingerprinted during the first 
quarter of 1935 were on parole at the time. In addition, there were 
1,844 individuals whose records did not affirmatively show paroles 
who were under sentences which had not expired at the time they 
were arrested. This makes a total of 2,353 persons arrested prior to 
the expiration of sentences previously imposed, which constitutes 
11 percent of the 21,420 previous convictions disclosed by the records, 
and 2.6 percent of the total of 90,504 arrest records examined. Major 
charges placed against those persons were as follows: 

Criminal homicide 20 

Robbery 220 

Assault 68 

Burglary 351 

Larceny 276 

Auto theft 110 

Embezzlement and fraud 58 

Forgery and counterfeiting 55 

Weapons (carrying, etc.) 51 

Total 1, 209 

In the following tables may be found a compilation showing the 
ojBFenses of which the 2,353 persons had been convicted, together with 
information regarding the current charges placed against them. 



39 



Table 22. — Arrests occurring before expiration of a prior sentence, including persons 
on parole at time of current arrest, Jan. 1 to Mar. SI, 1935 



He use charged 



Criminal homicide 

Kobbery 

Assault - 

Burglary— breaking or entering 

Larceny— theft 

Auto theft 

Embezzlement and fraud 

Stolen property; buying, receiving, possessing. 
Forgery and counterfeiting - 

Rape. 



Prostitution and commercialized vice. 

Other sex offenses 

Narcotic drug laws 

Weapons; carrying, or 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 



Total. 



Current 

arrest in 

period of 

parole 



17 
10 
43 
35 
16 
8 



2 
15 

9 
23 

1 
25 

4 
265 

509 



Current 
arrest in 
period of 
previous 
sentence 



20 

203 

68 

308 

241 

94 

50 

25 

48 

10 

7 

9 
21 
45 

4 
16 
12 

3 



8 

52 

68 

116 

3 

277 

44 

102 

1,844 



Total 



20 

220 

68 

351 

276 

110 

58 

25 

56 

13 

12 

10 

25 

51 

9 

20 

13 

3 



10 
67 
77 

139 
4 

302 
48 

367 

2,353 



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42 

Of the total of 90,504 arrest records examined, 65,807 represented 
whites, and 20,816 were those of Negroes. The figures for remaining 
races are: Indian, 344; Chinese, 238; Japanese, 40; Mexican, 2,693; 
all others 566. 

There is presented below a tabulation showing the number of 
arrests of Negroes and wliites in proportion to the number of each in 
the general population of the country, which shows that of each 
hundred "thousand Negroes, 258.9 were arrested during the first 
quarter of 1935. The corresponding figure for native whites is 88.0, 
and for foreign-born whites 45.6. The figures for individual offense 
classes may be found in the attached tabulations. It should be 
observed, in connection therewith, that the figures for native whites 
include the immediate descendants of foreign-born individuals. 



Table 24. — Distribution of arrests according to race, Jan. 1-Mar. 31, 19S6 



Offense charged 



Criminal homicide. 

Robbery 

Assault 

Burglary— breaking or entering 

Larceny— theft 

Auto theft 

Embezzlement and fraud 

Stolen property; buying, receiving, 

possessing 

Forgery and counterfeiting 

Rape 

Prostitution and commericalized 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 1 

Vagrancy 

Gambling.. 

Suspicion 

Not stated 

All other offenses 

Total 



Race 



White 



2,800 
3,075 
6,513 
9,338 
2,357 
2,181 

842 

1,211 

704 

850 

898 

671 

772 

764 

1,646 

1,907 

278 

4 

618 

2,774 

6,131 

4,754 

651 

8,482 

981 

3,736 



65, 807 



Negro 



521 

894 

2,290 

2,274 

3,766 

307 

290 

229 
107 
192 
253 
163 
128 
524 

83 
828 
138 

96 



149 

937 

1,128 

1,118 

406 

2,841 

239 

915 



20, 816 



In- 
dian 



6 
10 
20 
33 
35 
9 
3 

1 
4 
6 
3 
5 
3 
3 



12 

18 

2 



3 

28 
62 
19 



37 
11 
11 



344 



Chi- 
nese 



1 
1 
1 
2 
3 
150 
13 



2 
3 
9 
3 
3 
34 



238 



Jap- 
anese 



Mex- 
ican 



31 

65 

204 

261 

389 

73 

12 

17 
10 
46 
17 
21 
76 
43 
22 
45 
111 
17 



34 
136 
417 
276 

10 
240 

24 

96 



40 2, 693 



All 
others 



6 
43 
75 
46 
45 
9 
7 

3 
2 
13 
7 
7 

22 

26 

2 

7 

11 

4 

1 

11 

28 

20 

44 

7 

80 

8 

32 



666 



Total 

all 
races 



1,535 
3, 812 
5,672 
9,129 
13, 578 
2,755 
2,495 

1,093 
1,336 

963 
1,132 
1,097 

953 
1,382 

871 
2,541 
2,192 

398 
5 

818 
3,904 
7,761 
6,219 
1,084 
11,685 
1,266 
4,828 



90,504 



43 



Table 25. — Number of arrests of Negroes and whites in proportion to the number 
of each in the general population of the country, Jan. 1-Mar. 31, 1935 

(Rate per 100,000 of population, excluding those under 15 years of age] 



Offense charged 



Criminal homicide - --- 

Robbery ._ - 

Assault - 

Burglary— breaking or entering 

Larceny— theft 

Auto theft 

Embezzlement and fraud 

Stolen property; buying, receiving, possessing 

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. -.. 

Total 



Native 
white 



(') 



1.2 
3.7 
3.5 
9.1 
12.8 
3.4 
3.0 
1.0 
1.6 

.9 
1.2 
1.1 

.8 
1.0 
1.0 
1.9 
2.6 

.4 



3.6 
8.5 
6.7 
.8 
11.2 
1.3 
4.9 



88.0 



Foreign- 
born white 



1.3 

.8 
5.2 
2.3 
5.2 

.5 
1.4 
1.4 

.7 

.7 

.5 
1.0 

.3 
1.0 

.7 
2.8 
L2 

.1 



.3 

2.7 
3.7 
2.4 

.9 
4.9 

.7 
3.1 



45.6 



Negro 



6.6 

11.1 

28.5 

28.3 

46.8 

3.8 

3.6 

2.8 

1.3 

2.4 

3.1 

2.0 

1.6 

6.5 

1.0 

10.3 

1.7 

1.2 



1.9 
11.7 
14.0 
13.9 

5.0 
35.3 

3.0 
11.4 



258.9 



1 Less than Ho of 1 per 100,000. 

At the end of March 1935, there were 4,876,092 fingerprint records 
and 6,006,851 index cards containing names or aliases of individuals 
with records on file in the Federal Bureau of Investigation at Wash- 
ington. Of each 100 fingerprint cards received during the first 3 
months of 1935, more than 48 were identified with data in the files of 
the Bureau. During the same period 1,046 fugitives from justice 
were identified through fingerprint records and information as to 
the whereabouts of those fugitives was immediately transmitted to 
the law-enforcement officers or agencies desiring to apprehend them. 

The number of police departments, peace officers, and law-enforce- 
ment agencies throughout the United States and foreign countries 
voluntarily contributing fingerprints to the Bureau at the end of 
March 1935, totaled 8,045. 

o 



t 



I 



X 



^ K. 



■^-^ I 



UNIFORM 
CRIME REPORTS 

FOR THE UNITED STATES 
AND ITS POSSESSIONS 



A 



Volume VI— Number 2 
SECOND QUARTERLY BULLETIN, 1935 



Issued by the 

Federal Bureau of Investigation 

United States Department of Justice 

Washington. B.C. 




UNITED STATES 
GOVERNMENT PRINTING OFFICE 
WASHINGTON: 1935 



|! 



ADVISORY 

COMMITTEE ON UNIFORM CRIME RECORDS 

OF THE 

INTERNATIONAL ASSOCIATION OF CHIEFS OF POLICE 

(n) 



U, S. SUPERINTFNDENT OF DOCUMFNT^^ 

AUG 14 1935 



UNIFORM CRIME REPORTS 

J. Edgar Hoover, Director, Federal Bureau of Investigation, U. S. Department 

of Justice, Washington, D. C. 



Volume 6 July 1935 Number 2 



CONTENTS 

Classification of offenses. 
Extent of reporting area. 
Monthly returns: 

Offenses known to the police — cities divided according to popu- 
lation. 

Daily average, offenses known to the police, 1935. 

Daily average, offenses known to the police, 1931-35. 

Offenses known to the police — cities divided according to location. 

Data for individual cities. 

Off"enses known to sheriffs and State police. 

Offenses known in the possessions. 

Data from supplementary oft'ense reports. 

Number of police department employees. 
Data compiled from fingerprint cards, 1935: 

Sex distribution of persons arrested. 

Age distribution of persons arrested. 

Race distribution of persons arrested. 

Percentage with previous fingerprint records. 

Number with records showing previous convictions. 

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 
occurring within the police jurisdiction, whether they become known 
to the police through reports of police officers, of citizens, of prose- 
cuting or court officials, or otherwise. They are confined to the 
following group of seven classes of grave offenses, shown by exper- 
ience to be those most generally anti completely reported to the police: 
Criminal homicide, including (a) murder, nonnegligent manslaughter, 
and (6) manslaughter by negligence; rape; robbery; aggravated 
assault; burglary-breaking or entering; larceny-theft; and auto 
theft. The figures contained herein include also the number of 
attempted crimes of the designated classes. Attempted murders, 
however, are reported as aggravated assaults. In other words, an 
attempted burglary or robbery, for example, is reported in the bulle- 
tin in the same m.anner as if the crime had been completed. 

"Offenses known to the police" include, therefore, all of the above 
offenses, including attempts, which are reported by the police depart- 
ments of contributing cities and not merely arrests or cleared cases. 

(1) 



Complaints which upon investigation are learned to be groundless 
are not included in the tabulations which follow. 

In order to indicate more clearly the types of offenses included in 
each group, there follows a brief definition of each classification. 

1. Criminal homicide. — (a) Murder and nonnegligent manslaughter — includes 
all felonious homicides except those caused by negligence. Does not include 
attempts to kill, assaults to kill, justifiable homicides, suicides, or accidental 
deaths, (b) Manslaughter by negligence — includes only those cases in which 
death is caused by culpable negligence which is so clearly evident that if the per- 
son responsible for the death were apprehended he would be prosecuted for 
manslaughter. 

2. Rape. — Includes forcible rape, statutory rape, 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 highway 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 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 theft. Includes attempted 
burglary and assault to commit a burglary. Burglary followed by a larceny 
is entered here and is not counted again under larceny. 

6. Larceny — theft (except auto theft). — (a) Fifty dollars and over in value. 
(&) Under $50 in value — includes in one of the above subclassifications, depending 
upon the value of the property stolen, pocket-picking, purse-snatching, shop- 
lifting, or any stealing of property or thing of value which is not taken by force 
and violence or by fraud. Does not include embezzlement, "con" games, forgery, 
passing 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. 

In publishing the data sent in by chiefs of police in different cities, 
the Federal Bureau of Investigation 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. 

Extent of Reporting Area 

In the table which follows, there is shown the number of poUce de- 
partments from which one or more crime reports have been received 
during the first 6 months of 1935. The data are presented for the 
cities divided according to size. The population figures employed 
are estimates as of July 1, 1933, by the Bureau of the Census for cities 
with population in excess of 10,000. For the smaller communities 
the figures listed in the 1930 decennial census were used. The growth 
in the crime reporting area is evidenced by the following figures for 
the first 6 months of 1932-35. 



Year 


Cities 


Population 


1932 


1,636 
1,606 
1,645 
1,949 


52, 692, 749 


1933 


54, 208, 740 


1934. 


62,319,945 


1935 


63, 270, 683 







The above comparison shows that during the first half of 1935 there 
was an increase of 304 cities as compared with tlie corresponding 
period of 1934, the population represented by those cities being 950,638. 



Population group 



Total 

1. Cities over 2,')0,000 

2. Cities 100,000 to 250,000 

3. Cities 50,000 to 100,000. 

4. Cities 25,000 to 50,000.. 

5. Cities 10,000 to 25,000.. 



Total 
number 
of cities 
or towns 



983 



37 

57 

104 

191 

594 



Cities filing returns 



Number Percent 



867 



36 

S6 

95 

177 

503 



97 
98 
91 
93 

84 



Total pop- 
ulation 



60, 281, 688 



29, 695, 500 
7,850,312 
6, 980, 407 
6, 638, 544 
9,116,925 



Population repre- 
sented in returns 



Number Percent 



57, 505, 302 



29,415,100 
7,726,812 
6, 390, 870 
6, 172, 021 
7, 799, 899 



95 



99 
98 
92 
93 
86 



Note.— The above table does not include 1,082 cities and rural townships aggregating a total population 
of 5,765,281 The cities included in this figure are those of less than 10,000 population filing returns whereas 
the rural townships are of varying population groups. 

MONTHLY RETURNS 

Offenses Known to the Police — Cities Divided According to Population 

In maldng a study of local crime conditions, one of the most 
interesting and significant types of examinations that can be made is 
a comparison with the community's record for prior years. However, 
police administrators will doubtless desire, in addition, to make 
comparisons between the figures for their communities and average 
figures for other cities of the same size throughout the United States. 
In order to make possible that type of comparison, figures for the 
majority of urban communities with population in excess of 10,000 are 
presented in table 1, with subdivision into five groups as to size of 



OFFENSES KNOWN TO THE POLICE 

JANUARY TO JUNE , INCLUSIVE, 1935 

BASED ON REPORTS Of 1,435 CITIES POPULATION 57,788,045 

OFFENSES AGAINST THE PERSON 

NUMBER OF OFFENSES 



I MANSL 
■i 



1500 3000 4,500 6.000 7500 



10,500 12,000 13,500 ISOOO 



ANSLAUGHTER BY NEGLIGENCE 



1.403 



MURDER (including nonneolicent manslauohteb) 1,620 



2.024 




AGGRAVATED ASSAULT 



13,023 




Figure 1. 



city. The figures for the sixth group are based on the reports of a 
large number of urban communities with less than 10,000 inhabitants, 
but there is as yet a considerable portion of the smaller urban com- 
munities not included in the reporting area. The compilation dis- 
closes that, in general, cities with more than 100,000 inhabitants 
have higher crime rates than the smaller communities. However, 
there are several instances in which the rates do not vary directly 
with the size of city. 

t''^ An examination of the figures for the total of 1,435 cities represent- 
ing a population of 57,788,045 indicates that more than 95 percent of 
the reported crimes were offenses against property, whereas the re- 
mainder were crimes against the person. It should be observed in 
this connection that for purposes of uniform crime reporting, robbery 
is classed as an offense against property. 

There were more than twice as many larcenies as burglaries 
reported, and if offenses of auto theft are included in the larceny 
group, the ratio becomes more than 3 to 1. Offenses of robbery were 
the least frequently committed of the crimes against property. 
Nevertheless, there were 20,126 robberies reported by the cities 
included in this tabulation during the first half of 1935. A percentage 
distribution of the offenses included in table 1 is shown herewith: 



Offense 



Total 

Larceny 

Burglary... 
Auto theft. 



Rate per 
100,000 


Percent 


716.7 


100.0 


367.5 
159.7 
123.4 


51.3 
22.3 
17.2 



Offense 



Robbery 

Aggravated assault 

Rape 

Murder 

Manslaughter 



Rate per 
100,000 




Percent 



4.9 

3.1 

.5 

.4 

.3 



OFFENSES KNOWN TO THE POLICE 

JANUARY TO JUNE, INCLUSIVE, 1935 

BASED ON REPORTS OF lfl35 CITIES POPULATION 57,788,045 _ 

OFFENSES AGAINST PROPERTY 

NUMBER OF OFFENSES 



2Q000 'tOpOO 60,000 



100,000 l?OP0O MO.OOO 160.000 160.000 200.000 



ROBBERY 




LARCENY (EXCEPT auto theft') 



20.126 



62495 



92,289 



184.989 




Figure 2. 



Most of the cities with more than 100,000 inhabitants, whose 
reports are represented in table 1 furnished information concerning 
the number of larcenies in which the value of the property stolen 
was more than $50 in value as distinguished from the lesser violations 
in which the property was under $50 in value. The compilation 
based thereon is as follows: 



Population group 



26.clties over 250,000; total population, 18,389,300: 

Number of offenses known 

Rate per 100,000 

48 cities, 100,000 to 250,000; total population, 6,647,112: 

Number of olTenses known 

Rate per 100,000 - - 



Larceny— theft 



$50 and 

over in 

value 



8,717 
47.4 

3,282 
49.4 



Under $50 
in value 



68.226 
306.8 

26, 008 
391.3 



It vnW be observed that for both larceny subdivisions, cities with 
more than 250,000 inhabitants report somewhat lower rates than the 
group II communities. 

Portions of the data in table 1 are graphically presented in charts 
1 and 2. 



Table 1. — Offenses known to the police, January to June, inclusive, 1935; number 
and rates per 100,000, by population groups 

[Population as estimated July 1, 1933, by the Bureau of the Census] 



Population'group 



GROUP I 

35 cities over 250,000; total poulation, 
29,002,500: 
Number of offenses known 
Rate per 100,000 



GROUP n 

52 cities, 100,000 to 250,000; total 
population, 7,187,612: 
Number of offenses known... 
Rate per 100,000 



GROUP m 

87 cities, 50,000 to 100,000; total pop- 
ulation, 5,894,709: 

Number of offenses known 

Ratel'per 100,000 



GROUP IV 

152 cities, 25,000 to 50,000; total popu- 
lation, 5,275,789: 

Number of offenses known 

Ratelper 100,000. 



GROUP V 

420 cities, 10,000 to 25,000; total pop- 
ulation, 6,461,300: 

Number of offenses known , 

Rate per 100,000 



GROUP VI 

689 cities under 10,000; total popula- 
tion, 3,966,135: 

Number of offenses known 

Rate per 100,000 



Total 1,435 cities; total popu- 
lation, 57,788.045: 
Number of offenses known 
Rate per 100,000 



Criminal homi- 
cide 



Murder, 
nonneg- 
ligent 
man- 
slaugh- 
ter 



873 
3.0 



252 
3.5 



172 
2.9 



117 
2.2 



128 
2.0 



78 
2.0 



Man- 
slaugh- 
ter by 
negli- 
gence 



1,620 

2.8 



1918 
3.4 



122 
1.7 



128 
2.2 



83 
1.6 



95 
1.5 



57 
1.4 



< 1, 403 
2.5 



Rape 



1,134 
3.9 



262 
3.6 



155 
2.6 



145 
2.7 



177 
2.7 



151 
3.8 



Rob- 
bery 



2,024 
3.5 



13, 354 
46.0 



2,399 
33.4 



1,702 
28.9 



1,161 
22.0 



991 
15.3 



519 
13.1 



Aggra- 
vated 
assault 



6,474 
22.3 



20, 126 
34.8 



Bur- 
glary— 
break- 
ing or 
enter- 
ing 



45, 125 
155.6 



1, 980 15, 688 
27. 5 218. 3 



1,805 
30.6 



1,167 
22.1 



1,108 
17.1 



489 
12.3 



10, 632 
180.4 



8,564 
162.3 



7,968 
123.3 



4,312 

108.7 



Lar- 
ceny — 
theft 



13, 023 
22.5 



92,289 
159.7 



2 81,824 
379.7 



31,485 
438.0 



23, 768 
403.2 



20, 733 
393.0 



18, 551 
287.1 



8,628 
217.5 



5 184, 989 
367.5 



Auto 
theft 



3 32, 550 
149.0 



11,016 
153.3 



7,222 
122.5 



5,419 
102.7 



4,386 
67.9 



1,902 
48.0 



» 62, 495 
L 123. 4 



J The number of offenses and rate for manslaughter by negligence are based on reports of 33 cities with a 
total population of 27,274,300. 

2 The number of offenses and rate for larceny— theft are based on reports of 33 cities with a total population 
of 21,549,300. 

3 The number of offenses and rate for auto theft are based on reports of 34 cities with a total population of 
21,848,200. 

* The number of offenses and rate for manslaughter by negligence are based on reports of 1,433 cities with a 
total population of 56,059,845. 

« The number of offenses and rate for larceny— theft are based on reports of 1,433 cities with a total popula- 
tion of 50,334,845. 

6 The number of offenses and rate for auto theft are based on reports of 1,434 cities with a total population of 
50,633,745. 



Daily Average, Offenses Known to the Police, 1935 

The compilation of monthly crime trends (table 2), based on figures 
for the first half of 1935 indicates variations which in general follow 
the trends for prior years. The figures for murder for the second 
quarter of the year are slightly higher than for tlie first 3 months. 
It is interesting to note that the murder figure for April is the highest 
for anv of the 6 months included in the tabulation. This has also 
been true for 1934 and 1933. 

The compilation shows fiu'ther that figures for aggravated assault 
are substantially higher during the second quarter of the year. This 
is definitely in accord with the trend evidenced in prior years. Simi- 
larly, the downward trends in the robbery, burglary, larceny, and 
auto theft figures are in harmony with the data for previous years. 

In connection with the liigli figure for rape recorded for May, it 
should be noted that one community listed 41 such cases during May, 
which is an unusually high number. 



Table 2. — Daily average, offenses known to the police, 87 cities over 100,000, 

January to June, inclusive, 1935 

[Total population, 36,190,U2, as estimated July 1, 1933, by the Bureau of the Census] 



Month 



January 

February 

March 

April 

May 

June - 

January to June 



Criminal 












homicide 




















Aggra- 


Bur- 
glary— 


Lar- 
ceny- 
theft 






Murder, 
nonneg- 


Man- 
slaugh- 


Rape 


Rob- 
bery 


vated 
as- 


break- 
ing or 


ligent 


ter by 






sault 


enter- 


man- 


negli- 








mg 




slaugh- 


gence 












ter 














6.6 


15.6 


7.1 


101.2 


37.8 


340.7 


2 610. 8 


6.0 


4.9 


6.6 


90.5 


43.2 


353.9 


621.9 


5.9 


6.5 


7.9 


89.6 


47.4 


370.7 


658.2 


6.8 


7.1 


6.8 


89.0 


47.7 


342.4 


646.4 


6.0 


5.7 


<9.8 


79.7 


51.8 


314.9 


611.8 


6.1 


4.6 


7.8 


72.0 


52.3 


294.0 


606.7 


6.2 


5.7 


7.7 


87.0 


46.7 


336.0 


626.0 



Auto 
theft 



3 239. 3 
243.3 
263.3 

. 250.4 
230.7 
216.9 

240.7 



• Daily averages for manslaughter by negligence are based on reports of 85 cities with a total population of 
34,461,912. 

2 Daily averages for larceny— theft are based on reports of 85 cities with a total population of 28,736,912. 
' Daily averages for auto theft are based on reports of 86 cities with a total population of 29,035,812. 

* The high rape average for May is largely due to the receipt of a single report listing 41 such offenses. 

Daily Average, Offenses Knoicn to the Police, 1931-35 

In order to make possible yearly comparisons of the number of 
offenses recorded, there is shown in table 3 the number of offenses 
reported by the police departments of 70 cities with more than 100,000 
inhabitants for the first half of the years 1931-35. The variations 
may quite readily be seen by referring to chart 3. 

Examination of the compilation shows decreases in murder, man- 
slaughter, robbery, and auto theft. In connection with the rather 
substantial decrease in the number of murders during the first half of 
1935, it should be noted that the decrease may be partially due to the 
fact that through the use of a supplementary homicide report it has 
been ascertained that in a number of instances justifiable or excusable 
homicides have been included in the reports as actual offenses of 
murder, with the result that they were subsequently eliminated from 

6692—36 2 



8 



ANNUAL CRIME TRENDS 

OFFENSES KNOWN TO THE POLICE 



FOR CITIES OF 100,000 POPULATION AND OVER 



70 CITIES; POPULATION 19,774,302 



PERIOD COVERED -FIRST HALF: I93l-I935 



rSOO 



-400- 



-300- 



o 
<c 

LlI 

> 

< 



>- 
_J 

< 




LARCENY - THEFT 



-200- 



-40 
-30- 

—20- 



-10 
-9 - 

-e- 

-7- 
-6 - 



5 
4 



— 2- 



500- 




BURGLARY - BREAKING OR ENTERING 




-AGGRAVATED ASSAULT 



■100 



10- 



MURDER - NONNEGLIGENT MANSLAUGHTER 




-RAPE 



-1931- -1932- -1933- - 1934 -1935" 



FlGURE 3. 



the reports. Similarly, the marked reduction in the number of cases 
of manslaughter by negligence is undoubtedly due chiefly to changes 
in the procedure used in scoring cases of that type. 

The number of cases of aggravated assault increased from 4,915 
in 1934 to 5,034 in 1935 (2.4 percent). The number of serious 
assaults reported for the first half of 1935 is larger than for any other 
year since 1931, "with the exception of 1933. 

The compilation reveals substantial decreases in the robbery and 
auto theft groups; for robbery, from 10,547 in 1931 to 7,518 in 1935, 
a decrease of 28.7 percent; and for auto theft, from 45,910 in 1931 to 
30,276 in 1935 (34.1 percent decrease). 

The figure for burglary shows a slight increase as compared with 
1934, and for larceny the increase is more substantial. Those figures 
may represent real increases in the number of such crimes com- 
mitted. On the other hand, it is possible that they are the result of 
the maintenance of more complete records on the part of individual 
police agencies. To illustrate, there have been several instances in 
which it has been recently ascertained that the offense records had not 
included entries to represent the crimes which were immediately 
followed by arrests. Modifications in the records to include such 
cases would result in slight increases in the number of known offenses 
listed. 

Table 3.- — Daily average, offenses known to the police, 70 cities over 100,000, Jan- 
uary to June, inclusive, 19S1-S5 



[Total population 19, 


774,302, as estimated July 1, 1933, by the Bureau of the Census] 








Criminal homi- 
cide 


Rape 


Rob- 
bery 


Aggra- 
vated 
as- 
sault 


Bur- 
glary— 
break- 
ing or 
enter- 
ing 


Lar- 
ceny- 
theft 




Year 


Murder, 
nonneg- 
ligent 
man- 
slaugh- 
ter 


Man- 
slaugh- 
ter by 
negli- 
gence 


Auto 
theft 


Number of offenses known: 

1931 


752 
772 
785 
734 
686 

4.2 
4.2 
4.3 
4.1 
3.8 


732 
670 
492 
616 
1440 

4.0 
3.7 
2.7 
3.4 
12.4 


586 
619 
662 
646 

787 

3.2 
3.4 
3.7 
3.6 
4.3 


10, 547 

10,049 

9,440 

7,704 

7,518 

58.3 
55.2 
52.2 
42.6 
41.5 


4,S79 
4,426 
5,245 
4,915 
5,034 

27.0 
24.3 
29.0 
27.2 
27.8 


35, 557 
39, 106 
38, 937 
37, 232 
37,813 

196.4 
214.9 
215.1 
205.7 
208.9 


75, 297 
76, 979 
81, 637 
80, 843 
84, 066 

416.0 
423.0 
451.0 
446.6 
464.5 


45,910 


1932 - 


39,111 


1933 


35, 742 


1934... 


32, 509 


1935 


30, 276 


Daily average: 

1931 


253. 6 


1932... 


214.9 


1933 


197.5 


1934 


179.6 


1935 


167.3 











' The large decrease in the number of offenses of negligent manslaughter reported for 1935 is undoubtedly 
due to a change in the procedure employed in scoring cases of that type. 



Offenses Known to the Police — Cities Divided According to Location 

In table 4 there is presented information concerning the number of 
cities whose reports were employed in obtaining the crime rates for 
individual States as shown in table 5. The data are grouped accord- 
ing to the geographic location of the States, and according to the 
size of the communities represented. The number and size of cities 
whose reports were employed will serve as a guide in making com- 
parisons based on the data appearing in table 5. In some instances 



10 

the rates are based on reports received from only 3 or 4 police depart- 
ments. An examination of the data appearing in table 1 shows that 
the rates for the larger cities are higher than those for smaller com- 
munities. Therefore, it becomes important to determine the number 
and the size of the communities represented by the figures for a State 
before comparing them with the data for another. In cases where 
the crime rates are based on data from a very limited number of 
communities, the figures may be much different from what they 
would be if reports were available from all communities in the State. 
The compilation of complete data for individual States must neces- 
sarily await the participation in the project of all agencies exercising 
police powers. 

Table 5 shows that the highest rates for murder, robbery, aggravated 
assault, and burglary occurred in the East South Central States, 
while the lowest figures for those offenses with the exception of 
burglary are shown for the New England States. The lowest rate 
for burglary occurred in the Middle Atlantic States. The West 
South Central States reported the highest figure for larceny, and the 
Pacific States the highest figure for auto theft. The lowest rates for 
those offenses occurred in the Middle Atlantic States. 



11 

Table 4. — Number of cities in each Slate included in the tabulation of uniform 
crime reports, January to June, inclusive, 1935 



Division and State 



GEOGRAPHIC DIVISION 



159 cities; total population, 
3C9 cities; total population, 



New England 

5,512,589 

Middle Atlantic 

17,846,439 

East North Central: 357 cities; total popula- 
tion, 15,223,545 

West North Central: 147 cities; total popula- 
tion, 4,222,270. - 

South Atlantic:' 100 cities; total population, 

3,936,216 

East South Central: 35 cities; total popula- 
tion, 1,692,812 

West South Central: 77 cities; total popula- 
tion, 3,083,889 

Mountain: 58 cities; total population, 

1,084,804 

Pacific: 133 cities; total population, 5,185,481. 
New England: 

Maine 

New Hampshire 

Vermont 

Massachusetts... 

Rhode Island 

Connecticut 

Middle Atlantic: 

New York 

New Jersey 

Pennsylvania 

East North Central: 

Ohio.. 

Indiana 

Illinois 

Michigan... 

Wisconsin 

West North Central: 

Minnesota 

Iowa 

Missouri 

North Dakota... 
South Dakota... 

Nebraska 

Kansas... 

South Atlantic: 

Delaware. 

Maryland ., 

Virginia 

West Virginia 

North Carolina... 
South Carolina... 

Georgia 

Florida 

East South Central: 

Kentucky... 

Tennessee 

Alabama 

Mississippi 

West South Central: 

Arkansas 

Louisiana 

Oklahoma 

Te.\as 

Mountain: 

Montana 

Idaho 

Wyoming 

Colorado 

New Mexico 

Arizona 

Utah.. 

Nevada 

Pacific: 

Washington 

Oregon 

California 



Population 



Over 
250,000 



100,000 

to 
250,000 



50,000 

to 
100,000 



12 



10 



11 

20 

23 

7 

11 

2 

5 

2 

6 

1 
1 



25,000 

to 
50,000 



6 
2 

1 

4 

6 

10 

3 
2 

7 



25 
27 

45 

9 

15 



5 
13 

1 
2 
1 
11 
4 
6 

10 
9 
8 

14 

6 

10 

7 



2 

1 

10 



10,000 

to 
25,000 



56 

123 

86 

49 

22 

14 

23 

12 
35 

6 
3 
2 

35 
4 
6 

41 
28 

54 

25 
9 
24 
17 
11 

10 

6 

9 

3 

4 

6 
11 



8 

3 

24 



Less 
than 
10,000 



53 
184 
184 

74 

44 
9 

33 

37 
71 

8 
5 
7 
26 
4 
3 

73 
49 
62 

57 

9 

39 

57 
22 

22 

9 
13 

5 

4 
10 
11 

2 

2 

12 

8 

7 



3 

1 

20 

9 

4 
3 
1 
10 
2 
5 
9 
3 

3 

8 

60 



Total 



159 

369 

357 

147 

100 

35 

77 

68 
133 

16 
11 
10 
87 
15 
20 

135 

95 

139 

107 
31 
82 
92 
45 

35 
24 
27 

9 

8 
18 
26 

3 

7 
24 
14 
21 

3 
10 
17 

14 
7 
7 
7 



32 
29 



4 
3 

18 
5 
7 

11 
4 

16 

13 

104 



' Includes District of Columbia. 



12 



Table 5. — Rate per 100,000, offenses known to the 'police, January to June 

inclusive, 1935 



Division and State 



GEOGRAPHIC DIVISION 

New England 

Middle Atlantic i 

East North Central 2 

West North Central 

South Atlantic 3 

East South Central 

West South Central 

Mountain 

Pacific * 

New England: 

Maine 

New Hampshire 

Vermont 

Massachusetts 

Rhode Island-- 

Connecticut 

Middle Atlantic: 

New York « 

New Jersey 

Pennsylvania - 

East North Central: 

Ohio 6_ 

Indiana 

Illinois 

Michigan 

Wisconsin 

West North Central: 

Minnesota 

Iowa 

Missouri 

North Dakota 

South Dakota 

Nebraska.. 

Kansas 

South Atlantic: 

Delaware 

Maryland 

Virginia 

West Virginia 

North Carolina 

South Carolina 

Georgia 

Florida 

East South Central: 

Kentucky 

Tennessee 

Alabama 

Mississippi 

West South Central: 

Arkansas 

Louisiana 

Oklahoma 

Texas 

Mountain: 

Montana 

Idaho 

Wyoming 

Colorado 

New Mexico 

Arizona 

Utah 

Nevada 

Pacific: 

Washington ' 

Oregon 

California* 



Criminal homi- 
cide 



Murder, 
nonneg- 
ligent 
man- 
slaugh- 
ter 



0.4 
2.1 
2.3 

1.9 
6.4 



Man- 
slaugh- 
ter by 
negli- 
gence 



1.1 
3.8 
1.4 

1.4 
2.5 



12. e 


6.4 


5.7 


2.3 


3.3 


2.4 


2.1 


2.9 





2.0 





.5 








.4 


1.2 


.3 


1.0 


.6 


.8 


2.1 


4.7 


2.1 


5.3 


2.2 


1.3 


3.5 


1.3 


2.0 


.6 


2.5 


1.5 


1.6 


2.1 





.1 


.4 


.4 


1.3 


.4 


2.8 


3.1 








2.9 


4.4 


3.2 


.2 


2.9 


1.4 


3.5 





2.2 


.5 


6.9 


4.1 


3.9 


1.4 


8.5 


4.8 


6.2 





7.7 


1.8 


12.2 


1.9 


9.3 


4.8 


14.5 


8.2 


15.9 


6.5 


8.0 


5.6 


8.5 


9.1 


6.9 


2.6 


3.8 


1.7 


5.8 


1.6 


6.0 


3.0 


2.6 











3.1 


1.6 


3.3 





8.1 


9.7 


1.3 


1.8 


2.7 





1.4 


.7 


1.8 


.5 


2.3 


3.6 



Rape 



3.9 
3.1 
3.8 
2.9 
3.3 
2.4 
2.9 
4.2 
4.7 

1.2 
6.6 

5.1 



3.4 
2.4 
3.0 

2.4 
3.3 

2.7 
7.9 
2.5 

1.2 
1.9 

5.7 
6.7 
2.9 
1.4 
1.4 

.9 
3.2 
8.3 
1.8 
3.5 

. 7 
1.8 
1.5 

2.4 
2.8 
1.4 
3.2 

2.3 
1.2 
4. 1 
3.2 

1.5 



2.3 

2.8 

3.3 

9.7 

6.3 

5.4 

1.4 
1.4 
5.8 



Rob- 
bery 



13.2 

64.2 
38.1 
34.4 
66.9 
41.3 
51.1 
29.6 

10.6 
3.0 
1.0 

11.1 
4.2 

10.6 

7.7 
18.6 
21.9 

50.6 

45.0 

125.3 

21.3 

4.3 

32.4 
30.3 
43.9 
26.6 
30.8 
35.5 
50.6 

12.4 
28.2 
36.7 
21.1 
27.2 
27.0 
11.4 
48.5 

69.3 
96.8 
34.7 
28.0 

67.4 
24.4 
58.1 
38.4 

10.4 
20.5 
13.7 
73.1 
24.7 
68.2 
26.5 
43.3 

39.8 
45.4 
25.8 



Aggra- 
vated 
assault 



6.4 
16.2 
19.4 

9.9 
73.3 
83.8 
37.8 
11.7 
15.7 

11.0 
2.0 
2.0 
6.6 
6.2 
6.1 

13.7 
27.3 
16.4 

20.3 
23.9 
21.0 
20.2 
4.0 

7.7 
2.8 

17.4 
3.8 
1.5 
5.3 

11.2 

26.5 
3.5 

124.8 
26.5 

239.7 
86.4 
41.0 
53.3 

88.8 

106.1 

55.4 

53.6 

39.1 
42.8 
20.8 

42.7 

7.4 
7.7 
4.6 
9.4 
3.3 
39.8 
7.6 
8.1 

21.0 

6.8 
15.6 



Burg- 
lary— 
break- 
ing or 
enter- 
ing 



133.6 
73.7 
175.7 
178.7 
220.8 
271.5 
266.4 
269. 6 
251.6 

130.1 
66.8 
51.1 
135.4 
113.2 
162.3 

44.8 
173.2 

87. 7 

18S. 1 
185.0 
239.0 
105.9 
67.8 

193.5 
160.9 
161.5 
143.5 
95.5 
123.9 
269.7 

162.8 
126.0 
266.6 
172.4 
239.0 
89.2 
195. 1 
331.6 

326.8 
227.6 
279.4 
183.1 

319.6 
128.2 
344.4 
285.8 

66.9 
172. 1 
164.7 
322.2 
254.9 
331.1 
217.0 
302.9 

350.9 
359.8 
219.7 



Lar- 
ceny- 
theft 



225. 5 
161. 7 
375.1 
394.8 
543.5 
34.3. 5 
637.0 
584.1 
567.7 

179.6 
150.8 
72.6 
210.6 
283.6 
284.3 

193.4 
219.7 
116.4 

457.0 
477.6 
241.2 
462. 7 
325.0 

216.9 
405.0 
504.6 
308.8 
254.1 
312.3 
588.1 

321.2 
240. 6 
805.7 
365.1 
417.7 
877.2 
737.4 
715.2 

581. 9 
190.9 
231.9 
278.2 

582.6 
271.4 
689. 3 
774.8 

562. 4 
611.3 
784. 7 
525. 7 
773.1 
683.3 
489.7 
, 060. 

618.0 
750.5 
537. 3 



' The rates for larceny — theft and auto theft are based on reports of 368 cities with a total population of 
U),692,139. 

2 The rate for larceny— theft is based on reports of 356 cities with a total population of 14,924,645. 

' Includes report of District of Columbia. 

* The rate for manslaughter by negligence is based on reports of 131 cities with a total population of 
8,457,281. 

» The rates for larceny— theft and auto theft are based on reports of 134 cities. 

' The rate for larceny — theft is based on reports of 106 cities. 

' The rate for manslaughter by negligence is based on reports of 15 cities. 

« The rate for manslaughter by negligence is based on reports of 103 cities. 



13 

Data for Individual Cities 

Crime data for the entire country are compiled and presented in 
table 1 of tins bulletin so that persons interested in studying crime and 
the problems of law enforcement from a national viewpoint may have 
essential information concerning the amount of major crime in the 
urban portions of the United States. The problem encompasses the 
entire country and for its satisfactory solution nation-wide data are 
necessar^^ Similarly, officials and organizations interested in the 
crime problem, as it relates to a single State, need information con- 
cerning the extent of criminal activities in that commonwealth, and 
such information has been shown in table 5 of the bulletin. Due to 
the wide-spread activities of gangs of criminals, it is essential that the 
problem be studied as it relates to an entire State, or to groups of 
States, as w^ell as to the country as a whole. Nevertheless, the problem 
of law enforcement is fundamentally local in character, and it is, there- 
fore, desirable that there be available data regarding the amount of 
crime in individual communities. There is, accordingly, presented in 
the following tabulation information concerning the number of offenses 
reported by the police departments of cities with more than 100,000 
inhabitants. Those figures are presented here primarily for the purpose 
of making available to interested individuals and organizations in a 
single city data concerning the amount and types of crime perpe- 
trated in their community. It will, of course, be of value for a single 
community to compare its crime rates with the average figures shown 
in table 1 of this publication. On the other hand, the Federal Bureau 
of Investigation desires to point out that comjoarisons between the 
figures of two or more cities should be made with caution. Just as 
peculiar local conditions may have a tremendous bearing upon the 
mortality rate, so similarly peculiar local conditions may cause the 
crime rates to be above or below average. In other words, in making 
comparisons with the average figures or with the figures of a single 
community, consideration should always be given to local conditions 
which may have a large amount of influence with regard to causing the 
amount of crime to be unduly large or unusually small. The most 
important type of comparison, so far as a single community is con- 
cerned, is the one which will disclose whether the amount of crime is 
increasing or decreasing in that particular community. This type 
of study is recommended to those who may desire to be of assistance 
in combating crime in their community. 

Concerning the figures for manslaughter by negligence, it should 
be noted that there is at present a rather noticeable lack of uniformity 
in the preparation by individual police departments of the figures 
reported. In some instances, the reports include all cases of deaths 
resulting from automobile accidents, whereas in other instances 
automobile fatahties are not scored as cases of manslaughter by 
negligence unless the operator of the vehicle has been indicted by the 
grand jury. It appears probable that in some cases the operator of 
the vehicle, although guilty of criminal negligence, is not charged 
with negligent homicide but because of special local conditions is 
prosecuted under some other charge. In such cases, there may be a 
failure to report the case as negligent manslaughter. Figures in- 
cluded in supplementary homicide reports clearly demonstrate that 
in most cases of automobile fatalities the operators of the vehicles are 



14 

taken into custody, but in very few instances are indictments returned 
against them. 

In examining a compilation of crime figures for individual com- 
munities, it should be borne in mind that in view of the fact that the 
data are compiled by different record departments, operating under 
separate and distinct administrative systems, it is entirely possible 
that there may be variations in the practices employed in classifying 
complaints of offenses. On the other hand, the crime-reporting 
manual has been distributed to all contributors of crime reports, and 
the figures received are included in this bulletin only if they are 
apparently compiled in accordance with the provisions of the manual^ 
and the individual department has so indicated. 



15 

Table 6. — Number of offenses known to the police, April to June, inclusive, 19S5 



City 



Akron, Ohio 

Albany, N. Y 

Baltimore, Md 

Birmingham, Ala 

Boston, Mass 

Bridpeport, Conn 

Buffalo, N. Y-. 

Cambridge, Mass 

Canton, Ohio 

Chicago, 111 

Cincinnati, Ohio 

Cleveland, Ohio.. 

Columbus, Ohio 

Dallas, Tex 

Dayton, Ohio 

Denver. Colo .-- 

Des Moines, Iowa 

Detroit, Mich_.. 

Duluth, Minn 

Elizabeth. X. J 

El Paso, Tex.- --. 

Erie, Pa .- 

Evansville, Ind 

Fall Kiver, Mass 

Flint, Mich 

Fort Wayne, Ind 

Fort Worth, Tex 

Gary, Ind 

Grand Kapids, Mich.. 

Hartford, Conn 

Houston, Tex 

Indianapolis, Ind 

Jacksonville, Fla. 

Jersey City, N. J 

Kansas City, Kans 

Knoxville, Tenn 

Long Beach, Calif 

Los Angeles, Calif 

Louisville, Ky 

Lowell, Mass 

Lynn, 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 

Norfolk, Va 

Oakland, Calif 

Oklahoma City, OkJa. 

Omaha, Nebr.. 

Peoria, 111. 

Philadelphia, Pa 

Pittsburgh, Pa 

Portland, Oreg.. 

Providence, R. I 

Reading, Pa. 

Richmond, Va 

Rochester, N. Y 

St. Louis, Mo 

St. Paul, Minn 

Salt Lake City, Utah. 

San Antonio, Tex 

San Diego, Calif 



Criminal 
homicide 



Murder, 
nonneg- 
ligent 
man- 
slaugh- 
ter 



4 

26 
3 



4 

56 
17 
20 

8 
11 

2 

8 



19 



4 
10 
2 
4 
4 



23 

12 

1 

1 

27 

4 



1 

15 

5 



16 
93 
6 
2 
4 
7 
1 
32 
4 
1 
1 



5 
5 
20 
1 
1 
4 
3 



Man- 
slaugh- 
ter by 
negli- 
gence 



2 

11 

10 

2 

6 



29 



13 
3 
4 



1 

1 

11 



(2) 



10 
1 

8 
1 



3 
32 



3 
3 
12 
2 
3 
3 
1 



Rape 



"'"'241" 


146 




3 


4 


, 11 


1 


5 




10 


2 


27 


21 


12 




2 


1 





15 
2 

18 



9 
1 
2 
41 
13 
9 
1 
6 
2 
1 



128 



1 

67 
2 



1 
4 
4 
1 
345 
4 
2 



2 
15 
2 
31 
1 
4 
7 
4 



Rob- 
bery 



54 

6 

57 

45 

06 

5 

11 

6 

38 

2, 603 

64 

453 

144 

30 

36 

124 

32 

228 

8 

7 

7 

9 

10 

7 

10 
12 
20 
18 
8 
3 

58 

141 

60 

8 

82 

8 

14 

238 

87 

4 

16 

137 

27 

12 

99 

74 

67 

5 

9 

49 

278 

46 

35 

00 

36 

15 

132 

292 

72 

10 

2 

24 

8 

154 

51 

20 

62 

10 



Aggra- 
vated 

as- 
sault 



Bur- 
glary— 
break- 
ing or 
enter- 
ing 



49 
18 

5 
74 
38 

2 

61 

4 

19 

452 
90 
74 
49 

1-15 
47 
18 



254 



6 

7 

8 



1 

41 

1 

8 

25 

3 

13 

46 

81 

26 

110 

19 

7 

10 
111 
168 



2 

255 

69 

14 

21 

80 

116 

7 

5 

94 

649 

43 

26 

39 

9 

9 

215 

57 

15 

10 

6 

229 

12 

80 

5 

7 

73 

7 



240 

85 
554 
451 
337 
125 
185 
107 
198 
4,774 
353 
713 
630 
450 
211 
630 
101 
660 

90 
120 

86 
143 

70 
141 
130 
111 
262 

77 
140 
185 
437 
'517 
227 

60 
205 

82 

282 

1,736 

580 

46 
164 
317 
210 
201 
435 
115 
626 
116 
187 
157 
712 
174 
369 
355 

89 

56 
631 
463 
648 
175 

67 
390 
218 
491 
410 
161 
352 

93 



Larceny- 
theft 



$50 
and 
over 



jUnder 

$50 



54 
14 

174 
80 

245 

33 

40 

23 

(') 

955 

147 
77 

(') 
54 
24 

(') 

6 

211 

22 

21 

7 

13 

14 

17 

43 

23 

15 

7 

24 

45 

110 

{') 

125 

(') 

(') 
32 
49 

515 

128 

4 

64 

0) 

(') 

03 
85 

106 

(') 
18 
38 
68 

(2) 
23 
54 

(') 
19 
20 

231 

191 

148 
26 
32 
93 
30 

(') 
65 
44 

1<)0 
43 



420 
164 
748 
161 
602 
182 
362 
133 
216 

3, 479 

1,021 

3, 212 
901 

1,609 
611 
665 
303 

4,980 

243 

115 

227 

76 

248 

94 

511 

240 

541 

83 

278 

416 

820 

1,599 
781 
51 
241 
102 
408 

2,142 

843 

60 

207 

72 

126 

1,292 
213 
173 

1,018 
210 
372 
174 
(2) 
505 
776 
479 
149 
127 
614 
341 

1,044 
312 
125 
947 
513 

2,107 
483 
409 
629 
264 



Auto 
theft 



116 

60 

805 

197 

836 

106 

310 

99 

30 

1,769 

277 

658 

238 

440 

159 

195 

144 

974 

44 

31 

49 

63 

103 

34 

153 

58 

127 

51 

91 

68 

377 

435 

126 

122 

78 

121 

111 

i,4or 

298 
26. 

48- 
121 
166 
281 
695 
209 
538- 
104 
151 
140 

76 
315 
133 
27fi 

86 
461 
491 
224 

48 

53 
171 
254 
463 
299 
152 
331 
17a 



Footnotes at end of table. 
5692—35 3 



16 

Table 6. — Number of offenses known to the police, April to June, inclusive, 1935- 

Continued 



City 



San Francisco, Calif. 

Scranton, Pa 

Seattle, Wash 

Somerville, Mass 

South Bend, Ind 

Spokane, Wash 

Springfield, Mass 

Syracuse, N. Y 

Tacoma, Wash 

Tampa, Fla 

Toledo, Ohio 

Tulsa, Okla 

Utica, N. Y 

Washington, D. C... 

Waterbury, Conn 

Wichita, Kans 

Wilmington, Del 

Worcester, Mass 

Yonkers, N. Y 

Youngstown, Ohio.. 



Criminal 
homicide 



Murder, 
nonneg- 
ligent 
man- 
slaugh- 
ter 



16 



Man- 
slaugh- 
ter by 
negli- 
gence 



(2) 



26 

4 



1 
1 

12 



Rape 



Rob- 
bery 



82 

7 

82 

7 

13 

34 

7 

12 

16 

7 

66 

72 

7 

142 

4 

9 

4 

7 

2 

54 



Aggra- 
vated 
as- 
sault 



61 

12 

32 

2 



51 
18 
11 

1 
24 
27 
15 

1 
53 

3 

7 
10 

1 
14 
24 



Bur- 
glary— 
break- 
ing or 
enter- 
ing 



539 

86 
685 

58 

70 
239 

96 
198 
123 

65 
228 
305 

93 
803 

59 
106 

86 
167 

53 
138 



Larceny- 
theft 



$50 
and 
over 



(1) 
17 

104 
14 
15 
86 
44 
39 
16 
16 

107 
81 
22 

316 
22 
15 
32 
45 
5 
11 



Under 
$50 



1,748 

129 

833 

63 

79 

609 

252 

288 

204 

148 

(0 

490 

118 

1,418 

85 

540 

145 

61 

67 

267 



Auto 
theft 



895 
43 

366 
34 
95 

103 
97 

115 

108 
26 

233 
61 
56 

709 
86 
28 
59 

163 
53 

108 



> Larcenies not separately reported. Figure listed Includes both major and minor larcenies. 

* Not reported. 

' There were 40 cases of statutory rape reported for a single month. 

Offenses Known to Sheriffs, State Police, and Other Rural Officers, 1935 
Comprehensive crime data for rural portions of the United States 
are not yet available. However, such data as have been obtained for 
the first half of 1935 are presented in table 7. As indicated, the com- 
pilation is based on reports received from 204 sheriffs, 7 State police 
units, and 91 village officers. Proportionately, there were fewer cases 
of robbery, larceny, and auto theft reported in the rural sections than 
in urban communities. However, for the remaining offense classes 
the proportion was higher for riu"al areas. For comparative purposes, 
the percentage distribution of urban and rural crimes are presented 
below. 



Offense 



Total 

Larceny 

Burglary.,. 
Auto theft. 



Percent 


Urban 


Rural 


100.0 


100.0 


51.3 
22.3 
17.2 


47.4 
30.9 
10.8 



Offense 



Robbery 

Assault 

Rape 

Manslaughter 
Murder 



Percent 



Urban Rural 



4.9 

3.1 

.5 

.4 

.3 



3.6 

3.7 

2.1 

.7 

.8 



In connection wdth the variation in the proportion of each type of 
offense, it should be observed that the maintenance of offense records 
as distinguished from arrest records is probably not universal as yet 
among sheriffs, with the result that some of the rural reports may be 
incomplete in the sense that they failed to include offenses reported 
to have been committed, which were not followed by arrests. On 
the other hand, it is encouraging to note that there is increased 



17 



interest in the development of complete records for rural portions of 
the country. In many instances, sheriffs have willingly assumed 
responsibility for obtaining county-wide criminal data. A slightly 
modified arrangement in Bibb County, Ga., provides for the main- 
tenance by the Macon police department of complete crime data for 
the entire county. 

Table 7. — Offenses known, January to June 1935, inclusive, as reported by 204 
sheriffs, 7 Slate police U7iits, and 91 village officers 





Criminal homi- 
cide 


Rape 


Rob- 
bery 


Aggra- 
vated 
as- 
sault 


Bur- 
glary— 
break- 
ing or 
enter- 
ing 


Lar- 
ceny- 
theft 






Murder, 
nonneg- 
ligent 
man- 
slaugh- 
ter 


Man- 
slaugh- 
ter by 
negli- 
gence 


Auto 
theft 


Oflenses known 


132 


121 


340 


590 


614 


5,063 


7,772 


1,761 







Offenses Known in tlie Possessions of the United States 

In table 8 there are shown available data concerning the number of 
offenses laiown to law enforcement agencies in the possessions of the 
United States. The tabulation includes reports from Hawaii County, 
Honolulu (city and county), Territory of Hawaii; the Canal Zone; 
and Puerto Rico. The figures are based on both urban and rural 
areas, and the population figures from the 1930 decennial census are 
indicated in the table. 

With reference to the figures presented for the Canal Zone, it 
should be noted that the Federal Bureau of Investigation has been 
advised that less than one-third of the persons arrested for offenses 
committed in the Canal Zone are residents thereof. It appears, 
therefore, that a large proportion of the crime committed in the Canal 
Zone is attributable to transients and persons from neighboring 
communities. 

Table 8. — Offenses known in United States possessions, January to June 1935 
[Population figures from Federal Census, Apr. 1, 1930] 





Criminal homi- 
cide 


Ilape 


Rob- 
bery 


Aggra- 
vated 
assault 


Bur- 
glary— 
break- 
ing or 
enter- 
ing 


Larceny- 
theft 




Jurisdiction reporting 


Murder, 
nonneg- 
ligent 
man- 
slaugh- 
ter 


Man- 
slaugh- 
ter by 
negli- 
gence 


Over 

$50 


Under 
$50 


Auto 
theft 


Hawaii: 

Hawaii County, popula- 
tion, 73.325; number of 
ofTcnses known 


2 
11 


3 

7 

1 

73 


4 
6 

1 
30 


12 

7 
20 


9 

17 

6 
973 


20 
439 

38 
280 


3 

57 

14 
38 


93 
1.083 

123 
2,009 


8 


Honolulu, city and county, 
Dopulation, 202,923; num- 
ber of oflenses known 

Isthmus of Panama: 

Canal Zone, population, 
39,407; number of oflenses 
known 


111 
17 


Puerto Rico: 

Population, 1, 543,913; num- 
ber of oflenses known 


139 


42 



18 



Data from Supplementary Offense Reports 

In the first quarterly bulletin of the current year there were included 
data compiled from the supplementary reports of known offenses, 
contributed by the larger cities. Tabulations of a similar nature, 
based on reports of 23 cities with a total population of 10,474,397, 
are shown in tables 9, 9-A, and 9-B. The figures are based on reports 
which were apparently complete for all of the individual subclassifi- 
cations listed. The period covered by the tables is from Apiil to 
June, inclusive, of the current year. 

Examination of the figures for robbery discloses that 57.7 percent 
of such crimes were committed on the city highways, and 39.7 percent 
were robberies of commercial establishments. OrAj 2.6 percent of 
the robberies reported were committed in private residences. 

The compilation with reference to burglaries indicates that slightly 
less than half of them were committed in private residences. As to 
the time the burglaries were perpetrated, it appears that 78 percent of 
the total reported by the 23 cities included in this tabulation occurred 
at night, with 22 percent being committed in the daytime. However, 
it wUl be observed that 37 percent of the burglaries of residences 
occurred during the day, whereas only 7.8 percent of such crimes 
committed in other places took place in the daytime. 

The figures for larceny — theft indicate that of a total of 16,321 , there 
were 4,489 in wliich the value of the property involved was less than 
$5. As to the type of the offense committed, table 9 shows that 210 
were cases of pocket-picking and 564 were instances of purse-snatching. 

Table 9. — Number of known offenses with divisions as to the nature of the criminal 
act, time and place of commission, and value of property stolen, April to June, 
inclusive, 1935; 23 cities over 100,000 



[Total population 10,474,397, as estimated July 1, 1933, by the Bureau of the Census] 




Classification 


Number 
of actual 
offenses 


Classification 


Number 
of actual 
offenses 


Eape: 

Forcible .. . -. .- 


97 
108 


Larceny— theft (except auto theft) 
(grouped according to value of article 
stolen): 
Over $50 




Statutory 






1,972 


Total- 


205 


$5 to $50 


9,860 




TTnrlpr S5 


4,489 


Robbery: 

Highway - . 


1,749 

915 

265 

26 

78 


Total 


16, 321 




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




Oil station -- 




Chain store. .- - 




Residence .. . 


210 


Bank 


Purse -snatching 


564 






All other 


15, 547 


Total 


3,033 


Total 






16, 321 


Burglary— breaking or entering: 
Residence (dwelling): 

Committed during night 

Committed during day 


2,789 
1,677 

4,699 
398 




All other (store, office, etc.): 

Committed during night 

Committed during day 








Total 


9,563 









Table 9-A shows that there were 5,804 automobiles reported stolen 
during the second quarter of 1935, and 5,542 recoveries. The per- 
centage of recoveries of stolen automobiles for the second quarter of 
1935 is 95.5, as compared with 86.9 for the first 3 months of the year. 



19 



Table 9-A. — Recoveries of stolen automobiles, April to June, inclusive, 1935; S3 

cities over 100,000 

[Total population of 10,474,397, as estimated July 1, 1933, by the Bureau of the Census] 

Xumber of automobiles stolen 5, 804 

Number of automobiles recovered 5, 542 

Percentage recovered 95. 5 

The supplementary report of known offenses provides for the listing 
of information concerning the value of property stolen and the value 
of property recovered. That type of information is shown in table 
9-13, with division according to the types of property involved. The 
total value of property stolen was $3,305,561.82, and of that amount 
approximately 59 percent ($1,965,981.22) was recovered. The value 
of stolen automobiles amounted to approximately 52 percent of the 
total value of all property stolen. 

The figures regarding property recovered include all recoveries dur- 
ing the second quarter of 1935, even though the theft of some of the 
property occurred during a prior period. The value of property 
stolen, however, is limited to thefts occurring during the second 
quarter of 1935. 

Table 9-B. — Value of property stolen and value of property recovered with divisions 
as to type of property involved. April to June, inclusive, 1935; 23 cities over 
100,000 

[Total population of 10,474,397, as estimated July 1, 1933, by the Bureau of the Census] 



Type of property 



Currency, notes, etc 

Jewelry and precious metals 

Furs.. 

Clothinc... 

Locally stolen automobiles.. 
Miscellaneous 

Total .- 



Value of prop- 
erty stolen 


Value of prop- 
erty recovered 


$480, 066. 09 

372, 177. 50 

68, 313. 00 

187.412.72 

1, 729, 829. 52 

467, 762. 99 


$52, 105. 15 

62, 377. 53 

5, 787. 60 

41,222.38 

1, 659, 609. 23 

144, 879. 43 


3, 305, 561. 82 


1,965,981.22 



Number of Police Department Em^ployees, 1934 

The issue of this bulletin for the first quarter of 1935 contained 
information regarding the number of police department employees 
during 1934 as reported for cities with more than 100,000 inhabitants. 
Since that time, additional information has been received modifying 
the figures for the police department of Syracuse, New York. Accord- 
ingly, corrected figures are presented below: 



City 


Avcrajie 
number of 
employees 


Number 

per 1.000 

inhabitants 


Syracuse, N. Y ........ . 


332 


1.0 







Data for individual cities with from 10,000 to 100,000 inhabitants 
are presented in table 10-A, and in table 10 may be found the average 
number of employees for five groups of cities, divided according to 
size. It is interesting to observe that the average figures for the 
groups of cities are the same as those for 1933, which were published 
m the issue of the bulletin for the third quarter of 1934. 



20 



The average number of employees per 1,000 inhabitants for cities 
in group I, as shown in table 10, was obtained by ascertaining the 
total number of employees in the police departments of the 36 cities 
represented. This figure was then divided by the total population 
of those 36 cities (population data were taken from the 1930 decennial 
census). The data for the remaining groups of cities were compiled 
in a similar manner. 

The information appearing in table 10 is also shown in chart 4. 



AVERAGE NUMBER OF 
POLICE DEPARTMENT EMPLOYEES, 1934 



NUMBER OF EMPLOYEES PER 1.000 INHABITANTS 

05 10 15 20 



36 CITIES - POPULATION OVER 250,000 




57 CITIES - POPULATION 100,000 TO 250.000 




97 CITIES - POPULATION 50,000 TO 100.000 




175 CITIES - POPULATION 25,000 TO 50,000 




ITIES — POPULATION 10,000 TO 25,000 



Figure 4, 
Table 10.- — Average number of police department employees, 1934 



Population group 


Average 
number 
of em- 
ployees 
per 1,000 
inhab- 
itants 


Population group 


Average 
number 
of em- 
ployees 
per 1,000 
inhab- 
itants 


GROUP I 

36 cities over 250,000; total population, 
28,514,404 .- 


2.2 
1.5 
1.3 


GROUP IV 

175 cities, 25,000 to 50,000; total popula- 
tion, 5,968,617 


1.2 


GROUP II 

57 cities, 100,000 to 250,000; total popula- 
tion, 7,640,868 


GROUP V 

501 cities, 10,000 to 25,000; total popula- 
tion, 7,507,011 


1.0 


GROUP UI 

97 cities, 50,000 to 100,000; total popula- 
tion, 6,294,875 











21 



Table 10 — A. — Number of police department employees, 1934 
CITIES WITH 50,000 TO 100,000 INHABITANTS 



City 



Mobile, Ala 

Phoenix, Ariz... 

Little Kock, Ark 

Berkeley, Calif.. 

Fresno, Calif 

Olendale, Calif 

Pasadena, Calif 

Sacramento, Calif 

San Jose, Calif 

Pueblo, Colo 

New Britain, Conn.. 

Macon, Oa. 

Savannah, Ga 

Berwvn, 111 

Cicero, III 

Decatur, 111. 

East St. Louis, 111 

Evanston, 111.. 

Oak Park, 111 

Rockford, 111 

Springfield, 111 

East Chicago, Ind 

Hammond, Ind 

Terre Haute, Ind 

Cedar Rapids, Iowa.. 

Davenport, Iowa 

Sioux City, Iowa 

Topeka, Kans 

Covington, Ky 

Shreveport, La 

Portland, Maine 

Brockton, Mass. 

Lawrence, Mass 

Maiden, Mass.. 

Medford, Mass.. 

Newton, Mass 

Pittsfield, Mass 

Quincy, Mass 

Dearborn, Mich 

Hamtramck, Mich 

Highland Park, Mich 

Jackson, Mich. 

Kalamazoo, Mich 

Lansing, Mich.. 

Pontiac, Mich 

Sapinaw, Mich 

Jackson, Miss 

St. Joseph, Mo 

Springfield, Mo 



Average 
number 
of em- 
ployees 



100 
75 

76 

59 

64 

68 

104 

118 

49 

41 

86 

73 

162 

45 

70 

45 

57 

91 

74 

87 

90 

61 

74 

74 

54 

65 

91 

67 

62 

74 

133 

100 

123 

88 

86 

131 

57 

140 

115 

95 

90 

59 

86 

72 

61 

92 

48 

102 

54 



Number 
per 1,000 
inhabit- 
ants 



1.6 

1.6 

.9 

.7 

1.2 

1.1 

1.4 

1.3 

.8 

.8 

1.3 

1.4 

1.9 

1.0 

1.1 



1.4 
1.2 
1.0 
1.3 
1.1 
1.1 
1.2 
1.0 
1. 1 
1.1 
1.0 
1.0 
1.0 
1.9 
1.6 
1.4 
1.5 
1.4 
2.0 
1.1 
1.9 
2.3 
1.7 
1.7 



1. 1 

1.6 

.9 

.9 

1.1 

1.0 

1.3 

.9 



City 



Lincoln, Nebr 

Manchester, N. H. 

Atlantic City, N.J 

Clifton, N.J. 

East Orange, N. J 

Hoboken, N. J 

Irvington, N. J 

Passaic, N. J 

Union City, N. J. 

Binghamton, N. Y 

Mount Vernon, N. Y... 

New Rochelle, N. Y 

Niagara Falls, N. Y 

Schenectady, N. Y 

Troy, N. Y 

Asheville, N. C 

Charlotte, N. C 

Durham, N. C... 

Greensboro, N. C 

Winston-Salem, N. C... 
Cleveland Heights, Ohio 

Hamilton, Ohio 

Lakewood, Ohio 

Springfield, Ohio 

Allentown, Pa 

Altoona, Pa 

Bethlehem, Pa 

Chester, Pa 

Harrisburg, Pa 

Johnstown, Pa 

Lancaster, Pa 

McKeesport, Pa 

Wilkes-Barre, Pa... 

York, Pa 

Pawtucket, R. I 

Woonsocket, R. I 

Charleston, S. C. 

Columbia, S. C 

Austin, Tex- 

Galveston, Tex 

Port Arthur, Tex 

Waco, Tex.. 

Roanoke, Va 

Huntington, W. Va 

Wheeling, W. Va.. 

Kenosha, Wis 

Madison, Wis 

Racine, Wis 



Average 
number 
of em- 
ployees 



67 

118 

234 

56 

110 

185 

63 

106 

115 

115 

128 

140 

116 

180 

181 

55 

89 

55 

47 

85 

53 

39 

57 

53 

101 

61 

57 

59 

108 

65 

53 

56 

96 

51 

132 

85 

139 

73 

53 

70 

13 

52 

82 

69 

80 

63 

65 

66 



Number 
per 1,000 
inhabit- 
ants 



0.9 
1.5 
3.5 
1.2 
1.6 
3.1 
1.1 
1.7 
2.0 
1.5 
2.1 
2.6 
1.5 
1.9 
2.5 
1.1 
1.1 
1.1 

.9 
1.1 
1.0 

.7 

.8 

.8 
1.1 

.7 
1.0 
1.0 
1.3 
1.0 

.9 
1.0 
1.1 

.9 
1.7 
1.7 
2.2 
1.4 
1.0 
L3 

.3 
1.0 
1.2 

.9 
1.3 
1.3 
1.1 
LO 



CITIES WITH 25,000 TO 50,000 INHABITANTS 



Gadsden, Ala 

Tucson, Ariz 

Fort Smith, Ark 

Alameda, Calif 

Alhambra, Calif 

Bakersfield, Calif _ 

Huntington Park, Calif 

Inglewood, Calif 

Riverside, Calif 

San Bernardino, Calif.. 

Santa Ana, Calif 

Santa Barbara, Calif 

Santa Monica, Calif 

Stockton, Calif.. 

Colorado Springs, Colo. 

Bristol, Conn 

Meriden, Conn 

Middletown, Conn 

New London, Conn 

Norwalk, Conn 

Stamford, Conn 

West Hartford, Conn... 
West Haven, Conn 



19 


0.8 


38 


1.2 


23 


.7 


37 


1.1 


40 


1.4 


39 


1.5 


33 


1.3 


20 


1.0 


59 


2.0 


33 


.9 


28 


.9 


40 


1.2 


50 


1.3 


53 


1.1 


33 


1.0 


31 


1.1 


112 


2.9 


16 


.7 


49 


1.7 


47 


1.3 


90 


1.9 


66 


2.6 


78 


3.0 



Orlando, Fla 

,St. Petersburg, Fla 

West Palm Beach, Fla 

Columbus, Ga 

Alton, 111 

Aurora, III 

Bloomington, 111 

Danville, 111 

Elgin, 111 

Galesburg, 111 

Joliet, 111 

Maywood, III 

Moline, 111.. 

Quincy, 111... 

Rock Island, 111.. 

Waukegan, 111 

Anderson, Ind 

Elkhart, Ind 

Kokomo, Ind 

Lafayette, Ind 

Michigan City, Ind 

Mishawaka, Ind 

Muncie, Ind 



29 
40 
27 
66 
32 
44 
32 
32 
32 
29 
47 
16 
24 
44 
19 
20 
43 
37 
27 
35 
26 
25 
41 



1.1 

1.0 

1.0 

1.5 

1.1 

.9 

1.0 

.9 

.9 

1.0 

1.1 

.6 

.7 

1.1 

.5 

.6 

1.1 

1.1 

.8 

1.3 

1.0 

.9 



22 



Table 10 — A. — Number of police department employees, 1934 — Continued 
CITIES WITH 25,000 TO 50,000 INHABITANTS— Continued 



City 



New Albany, Ind 

Richmond, Ind 

Burlington, Iowa 

Clinton, Iowa 

Council Bluffs, Iowa 

Dubuque, Iowa 

Ottumwa, Iowa 

Waterloo, Iowa 

Hutchinson, Kans 

Lexingtsn, Ky 

Newport, Ky 

Paducah, Ky 

Baton Rouge, La 

Monroe, La... 

Bangor, Maine 

Cumberland, Md 

Hagerstown, Md 

Arlington, Mass.. 

Beverly, Mass.- 

Brookline, Mass 

Chelsea, Mass 

Chicopee, Mass 

Everett, Mass 

Fitchburg, Mass 

Haverhill, Mass 

Revere, Mass 

Salem, Mass 

Waltham, Mass 

Watertown, Mass 

Ann Arbor, Mich 

Battle Creek, Mich 

Bay City, Mich 

Muskegon, Mich 

Port Huron, Mich 

Royal Oak, Mich 

Wyandotte, Mich 

Meridian, Miss 

Joplin, Mo 

University City, Mo -.. 

Butte, Mont 

Great Falls, Mont - 

Nashua, N. H 

Belleville, N. J 

Bloomfleld, N. J 

Garfield, N.J 

Hackensack, N. J 

Kearny, N. J 

Montclair, N. J 

New Brunswick, N. J 

North Bergen, N. J - 

Orange, N. J 

Plainfleld, N. J 

West New York, N. J 

West Orange., N. J 

Woodbridge Township, N. J 

Albuquerque, N. Mex 

Amsterdam, N. Y 

Auburn, N. Y 

Elmira, N. Y 

Jamestown, N. Y 

Kingston, N. Y 

Lackawanna, N. Y 

Newburgh, N. Y... 

Poughkeepsie, N. Y 

Rome, N. Y... 



Average 
number 
of em- 
ployees 



15 
29 
24 
16 
26 
39 
14 
32 
25 
79 
41 
27 
30 
36 
42 
42 
32 
55 
51 

130 
67 
52 
66 
55 
80 
42 
74 
68 
47 
29 
55 
50 
44 
37 
22 
33 
31 
24 
28 
28 
31 
38 
32 
62 
36 
42 

150 
69 
43 
71 
63 
62 
90 
40 
38 
29 
33 
42 
81 
53 
37 
42 
46 
64 
30 



Number 
per 1,000 
inhabit- 
ants 



0.6 
.9 
.9 
.6 



.5 

.7 

.9 
1.7 
1.4 

.8 
1.0 
1.4 
1.5 
1.1 
1.0 
1.5 
2.0 
2.7 
1.5 
1.2 
1.4 
1.4 
1.6 
1.2 
1.7 
1.7 
1.3 
1.1 
1.3 
1.1 
1.1 
1.2 
1.0 
1.2 
1.0 

.7 
1.1 

.7 
1.1 
1.2 
1.2 
1.6 
1.2 
1.7 
3.7 
1.6 
1.2 
1.7 
1.8 
1.8 
2.4 
1.6 
1.5 
1.1 

.9 
1.1 
1.7 
1.2 
1.3 
1.8 
1.6 
1.3 

.9 



City 



Average 
number 
of em- 
ployees 



Watertown, N. Y.. 

White Plains, N. Y... 

High Point, N. C 

Wilmington, N. C 

Fargo, N. Dak 

Barberton, Ohio 

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 

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 

Greenville, S. C 

Sioux Falls, S. Dak 

Abilene, Tex 

Amarillo, Tex. 

Brownsville, Tex 

Corpus Christi, Tex 

San Angelo, Tex 

Wichita Falls, Tex 

Ogden, Utah 

Burlington, Vt 

Danville, Va 

Lynchburg, Va 

Newport News, Va 

Petersburg, Va 

Portsmouth, Va 

Bellingham, Wash 

Everett, Wash 

Clarksburg, W. Va 

Parkersburg, W. Va 

Appleton, Wis 

Eau Claire, Wis 

Fond du Lac, Wis 

Green Bay, Wis 

La Crosse, Wis 

Oshkosh, Wis 

Sheboygan, Wis 

Superior, Wis 

West Allis, Wis 



37 
106 
35 
45 
35 
14 
44 
22 
28 
33 
25 
16 
19 
27 
30 
27 
35 
34 
29 
29 
17 
32 
20 
19 
34 
100 
43 
31 
22 
17 
16 
31 
36 
37 
25 
63 
50 
45 
20 
35 
13 
18 
16 
35 
36 
30 
34 
50 
46 
31 
39 
28 
27 
25 
23 
22 
21 
27 
39 
42 
42 
44 
58 
38 



CITIES WITH 10,000 TO 25,000 INHABITANTS 



Anniston, Ala 

Dothan, Ala 

Fairfield, Ala 

Phenix City, Ala 

Blytheville, Ark 

Jonesboro, Ark... 

North Little Rock, Ark 

Texarkana, Ark 

Anaheim, Calif 



18 

11 
6 
7 
4 
9 

26 
8 

12 



0.8 
.7 
.5 
.6 
.4 
.9 

1.3 
.7 

1.1 



Beverly Hills, Calif 

Brawley, Calif 

Burbank, Calif 

Burlingame, Calif.. 

Compton, Calif 

Eureka, Calif 

FulJerton, Calif 

Modesto, Calif 

Monrovia, Calif 



40 
9 
28 
15 
17 
19 
9 
16 
17 



23 



Table 10 — A. — Number of police department employees, 1934 — Continued 
CITIES WITH 10,000 TO 25,000 INHABITANTS— Continued 



City 



■Ontario, Calif 

Palo Alto, Calif — . 

Pomona, Calif 

Redlands, Calif 

Richmond, Calif - 

Salinas, Calif 

San Leandro, Calif 

San Mateo, Calif 

Santa Cruz, Calif 

Santa Rosa, Calif 

South Gate, Calif... 

South Pasadena, Calif 

Vallejo, Calif 

Ventura, Calif 

Whittier, Calif 

Boulder, Colo 

Fort Collins, Colo 

Grand Junction, Colo 

Greeley, Colo... 

Trinidad, Colo... 

Ansonia, Conn 

Danbury, Conn 

East Hartford, Conn 

Naugatuck Borough, Conn 

Norwich, Conn 

Stratford, Conn. 

Wallingford, Conn 

"SVillimantic, Conn 

Daytona Beach, Fla 

Gainesville, Fla 

St. Augustine, Fla 

Sanford, Fla.. 

Albany, Ga 

Brunswick, Qa... 

La Grange, Ga 

Rome, Ga 

Waycross, Qa. 

Boise, Idaho 

Pocatello, Idaho 

Blue Island, 111 

Brookfleld, 111 

Cairo, 111... 

Calumet City, 111. 

Canton, 111 

Centralia, 111.. 

Champaign, 111. 

Chicago Heights, 111 

East Moline, 111 

Elmhurst, 111 

Elmwood Park, 111 

Forest Park, 111 

Freeport, 111 

Ilarrisburg, 111... 

Harvey, 111 

Highland Park, 111 

Jacksonville, 111 

Kankakee, 111 

Kewanee, 111 

La Grange, 111 

La Salle, 111 

Mattoon, 111 

Melrose Park, 111 

Mount Vernon, 111. 

Ottawa, 111 

Park Ridge, 111 

Streator, 111 

Urbana, 111.. 

West Frankfort, 111 

Wilmette, 111 

Winnetka, 111 

Bedford, Ind.. 

Bloomington, Ind 

Connersville, Ind 

Elwood, Ind 

Frankfort, Ind 

•Goshen, Ind 

Huntington, Ind 



Average 
number 
of em- 
ployees 



14 

20 

16 

12 

28 

13 

10 

15 

19 

10 

19 

10 

•13 

14 

14 

9 

8 

7 

10 

10 

12 

21 

17 

30 

38 

15 

23 

20 

28 

9 

14 

4 

18 

13 

21 

18 

13 

18 

19 

17 

9 

10 

10 

6 

9 

15 

18 

6 

11 

12 

13 

17 

4 

13 

14 

12 

17 

17 

11 

10 

10 

14 

5 

12 

12 

10 

9 

3 

15 

18 

9 

13 

10 

11 

12 

5 

12 



Number 
per 1,000 
inhabit- 
ants 



1.0 
1.5 



1.4 
1.3 
.9 
1.1 
1.3 



1.2 

.9 

.8 

.7 

.7 

.8 

.9 

.6 

.9 

1.0 

2.1 

1.7 

.8 

2.1 

1.7 

1.7 

.9 

1.2 

.4 

1.2 

.9 

1.0 



1.2 

1.0 

.9 

.7 

.8 

.5 

.7 

.7 

.8 

.0 

.8 

1.1 

.9 

.8 

.3 

.8 

1.1 

.7 

.8 

1.0 

1.1 

.8 

.7 

1.3 

.4 

.8 

1.2 

.7 

.7 

.2 

1.0 

1.5 

.7 

.7 

.8 

LO 

1.0 

.5 

.9 



City 



La Porte, Ind 

Logansport, Ind 

Marion, Ind. 

Shelbyville, Ind 

Vincennes, Ind 

Whiting, Ind 

Ames, Iowa 

Fort Dodge, Iowa 

Fort Madison, Iowa 

Iowa City, Iowa. 

Keokuk, Iowa 

Marshalltown, Iowa 

Mason City, Iowa 

Newton, Iowa... 

Oskaloosa, Iowa 

Arkansas City, Kans. 

Atchison, Kans 

Chanute, Kans... 

Coffeyville, Kans — 

Dodge City, Kans 

El Dorado, Kans — 

Emporia, Kans. 

Independence, Kans 

Lawrence, Kans.. 

Leavenworth, Kans 

Manhattan, Kans 

Newton, Kans 

Parsons, Kans 

Salina, Kans -. 

Fort Thomas, Ky 

Frankfort, Ky 

Henderson, Ky. 

Hopkinsville, Ky 

Middlesborough, Ky 

Owensboro, Ky 

Alexandria, La --- 

Bogalusa, La. 

La Fayette, La 

Lake Charles, La 

Auburn, Maine 

Augusta, Maine 

Biddeford, Maine 

South Portland, Maine 

Waterville, Maine 

Westbrook, Maine 

Frederick, Md 

Salisbury, Md. 

Adams, Mass 

Amesbury, Mass 

Athol, Mass 

Attleboro, Mass 

Belmont, Mass 

Braintree, Mass 

Clinton, Mass.. 

Dedham, Mass 

Kasthampton, Mass 

Fairhaven, Mass.. 

Framingham, Mass 

Gardner, Mass 

Gloucester, Mass 

Greenfield, Mass. 

Leominster, Mass 

Marlborough, Mass 

Melrose, Mass 

Methuen, Mass 

Milton, Mass 

Natick, Mass 

Needham, Mass 

Newburyport, Mass 

North Adams, Mass 

North Attleborough, Mass. 

Norwood, Mass... 

Peabody, Mass 

Plymouth, Mass 

Saugus, Mass 

Southbridge, Mass 

Stoneham, Mass 



Average 
number 
of em- 
ployees 



17 
21 
32 

4 
13 
20 

9 
17 

7 
11 
14 

9 
22 

6 

7 

10 
13 

7 
22 

9 

9 
10 

8 
12 
22 

9 

5 

12 
15 

7 
13 
15 
12 

6 
22 
25 
10 

8 
15 
15 
15 
17 
10 
11 

9 
17 
12 
13 



28 
39 
18 

8 
15 
12 

8 
23 
17 
39 
14 
15 
18 
33 
24 
30 
15 
15 
26 
26 
15 
20 
40 
13 
13 
14 
11 



Number 
per 1,000 
inhabit- 
ants 



1 



1.1 

1.1 

1.3 

.4 

.7 

L8 

.9 

.8 

.6 

.7 

.9 

.5 

.9 

.5 

.7 

.7 

1.0 

7 

4 

.9 

.9 

.7 

.6 

.9 

1.3 

.9 

.5 

.8 

.7 

.7 

1.1 

1.3 

LI 

.6 

1.0 

1.1 

.7 

.6 

.9 

.8 

.9 

1.0 

.7 

.7 

.8 

1.2 

1.1 

LO 

.8 

.6 

1.3 

L8 

1.1 

.6 



1.0 
1.1 

.7 
1.0 

.9 
L6 

.9 

.7 
1.2 
1.4 
1.1 
1.8 
1.1 
1.4 
1.7 
1.2 
1.5 
1.3 
L9 
LO 

.9 
1.0 
1.1 



24 



Table 10 — A. — Number of police department employees, 1934 — Continued 
CITIES WITH 10,000 TO 25,000 INHABITANTS— Continued 



City 



Swampscott, Mass.- 

Wakefield, Mass... -- 

Webster, Mass 

Wellesley, Mass 

Westfleld, Mass... -- 

West Springfield, Mass... 

Weymouth, Mass 

Winchester, Mass... - 

Winthrop, Mass 

Woburn, Mass 

Alpena, Mich 

Benton Harbor, Mich 

Ecorse, Mich 

Escanaba, Mich 

Ferndale, Mich 

Grosse Pointe Park, Mich 

Holland, Mich 

Iron Mountain, Mich 

Ironwood, Mich 

Lincoln Park, Mich 

Marquette, Mich 

Menominee, Mich 

Monroe, Mich 

Mount Clemens, Mich — 
Muskegon Heights, Mich. 

Niles, Mich 

Owosso, Mich 

River Rouge, Mich 

Sault Ste. Marie, Mich.... 

Traverse City, Mich 

Ypsilanti, Mich 

Albert Lea, Minn.. 

Austin, Minn.- 

Brainerd, Minn... 

Faribault, Minn 

Hibbing, Minn 

Mankato, Minn 

Rochester, Minn 

St. Cloud, Minn... 

South St. Paul, Minn 

Virginia, Minn 

Winona, Minn 

Clarksdale, Miss 

Columbus, Miss 

Greenville, Miss 

Hattiesburg, Miss 

Laurel, Miss 

McComb, Miss 

Natchez, Miss 

Vicksburg, Miss 

Cape Girardeau, Mo 

Hannibal, Mo 

Independence, Mo 

Jefferson City, Mo 

Maplewood, Mo 

Moberly, Mo 

St. Charles, Mo... 

Sedalia, Mo 

Webster Groves, Mo 

Billings, Mont. ..- 

Helena, Mont... 

Missoula, Mont 

Beatrice, Nebr — 

Fremont, Nebr 

Grand Island, Nebr 

Hastings, Nebr 

Norfolk, Nebr 

North Platte, Nebr 

Reno, Nev 

Berlin, N. H.... 

Claremont, N. H 

Dover, N. H 

Laconia, N. H 

Portsmouth, N. H 

Bridgeton, N. J... 

Burlington, N. J 

Carteret, N. J... 



Average 


Number 


number 


per 1,000 


of em- 


inhabit- 


ployees 


ants 


16 


1.5 


50 


3.1 


32 


2.5 


25 


2.2 


22 


1.1 


24 


1.4 


30 


1.4 


21 


1.7 


17 


LO 


18 


.9 


8 


.7 


13 


.8 


17 


1.3 


11 


.8 


22 


1.1 


35 


3.1 


9 


.6 


7 


.6 


16 


1.1 


12 


1.0 


10 


.7 


7 


.7 


18 


1.0 


11 


.8 


12 


.8 


8 


.7 


12 


.8 


27 


1.6 


11 


.8 


7 


.6 


15 


1.5 


6 


.6 


14 


1.1 


5 


.5 


7 


.5 


32 


2.0 


14 


1.0 


21 


1.0 


16 


.8 


11 


1.1 


38 


3.2 


19 


.9 


15 


1.5 


8 


.7 


14 


.9 


14 


.8 


12 


.7 


7 


.7 


16 


1.2 


26 


1.1 


11 


.7 


19 


.8 


14 


.9 1 


15 


.7 


37 


2.9 


9 


.7 


9 


.9 


10 


.5 


15 


.9 


15 
14 


.9 
1.2 


14 
6 
9 

22 
12 


1.0 
.6 
.8 

1.2 
.8 


11 


1.0 


8 


.7 


26 


1.4 


23 


1.1 


5 
14 
16 

18 


.4 
1.0 
1.3 
1.2 


13 

9 

19 


.8 

.8 

1.4 



Cliffside Park, N. J 

Cranford Township, N. J 

Dover, N. J 

Englewood, N. J 

Gloucester, N. J 

Harrison, N. J 

Hawthorne, N. J 

Hillside Township, N. J 

Linden, N. J 

Long Branch, N. J 

Lyndhurst Township, N. J... 
Maplewood Township, N. J.. 

Morristown, N. J 

Neptune Township, N. J 

Nutley, N. J 

Pensauken Township, 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 

Teaneck Township, N. J 

Union Township, N. J 

Weehawken Township, N. J.. 

Westfleld, N. J 

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.... 

Freeport, N. Y. 

Fulton, N.Y 

Geneva, N. Y 

Glen Cove, N. Y 

Glens Falls, N. Y 

Gloversville, N. Y 

Hempstead, N. Y 

Herkimer, N. Y.. 

Hornell, N. Y 

Hudson, N. Y 

Irondequoit, N. Y 

Ithaca, N. Y 

Johnson City, N. Y 

Johnstown, N. Y 

Kenmore, 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 

Oneida, N. Y... 

Oneonta, N. Y 

Ossining, N. Y 

Oswego, N. Y... 

Peekskill, N. Y. 

Plattsburg, N. Y.... 

Port Chester, N. Y 

Port Jervis, N. Y 

Rennsselaer, N. Y 

Rockville Center, N. Y.. 

Saratoga Springs, N. Y 

Tonawanda, N. Y 



Average 
number 
of em- 
ployees 



22 
19 

7 
39 
16 
48 

9 
25 
48 
38 
22 
39 
21 
20 
30 
15 
15 
15 
23 
18 
15 
30 
17 
29 
35 
11 
27 
30 
25 
61 
28 

7 

7 

16 
13 
28 
14 
12 
18 
11 
18 
32 
17 
17 
29 
20 
19 
39 
12 
14 
17 

6 
17 
11 

8 
15 

7 

25 
30 
27 

9 
22 
26 
13 
19 
10 
12 
18 
22 
21 
11 
37 
18 
15 
33 
21 
20 



25 



Table 10 — A. — Xujnber of police department employees, 1934 — Continued 
CITIES WITH 10,000 TO 25,000 INHABITANTS— Continued 



City 



Concord, N. C 

Elizabeth City, N. C 

Qastonia, N. C 

Ooldsboro, N. C 

Kinston, N. C. 

Rocky Mount, N. C 

Salisbury, N. C. 

Shelby, N. C 

Statesville, N. C 

Thomasville, N. C 

Wilson, N. C 

Bismarck, N. Dak 

Grand Forks, N. Dak 

Minot, N. Dak 

Alliance, Ohio... 

Ashland, Ohio 

Ashtabula, Ohio 

Bellaire, Ohio 

Bucyrus, Ohio 

Cambridge, Ohio... 

Campbell, Ohio.. 

Chillicothe, Ohio 

Coshocton, Ohio 

Cuyahoea Falls, Ohio. 

Euclid, Ohio 

Findlay, Ohio 

Fostoria, Ohio 

Fremont, Ohio.. 

Oarfleld Heights, Ohio 

Ironton, Ohio 

Lancaster, Ohio.. 

Marietta. Ohio... 

New Philadelphia, Ohio... 

Niles, Ohio 

Painesville, Ohio 

Parma, Ohio 

Piqua, Ohio 

Salem, Ohio 

Sandusky, Ohio... 

Shaker Heights, Ohio 

Struthers, Ohio 

Wooster, Ohio 

Xenia, Ohio 

Ada, Okla 

Ardmore, Okla 

Chickasha, Okla 

Lawton, Okla 

McAlester, Okla 

Okmulgee, Okla 

Ponca City, Okla 

Sapulpa, Okla 

Shawnee, Okla.. 

Astoria, Oreg 

Eugene, Oreg 

Klamath Falls, Oreg 

Medford, Oreg 

Abington Township, Pa... 

Ambridge, Pa. 

Arnold, Pa 

Beaver Falls, Pa 

Bellevue, Pa... 

Berwick, Pa 

Bradford, Pa 

Bristol, Pa 

Butler, Pa 

Cannonsburg, Pa 

Carlisle, Pa 

Carnegie, Pa 

Chambersburg, Pa 

Charleroi, Pa 

Cheltenham Township, Pa 

Clairton, Pa.. 

Coatesville, Pa 

Connellsville, Pa 

Coraopolis, Pa 

Dickson City, Pa... 

Donora, Pa 

Dormont, Pa 

Du Bois, Pa 



Average 
number 
of em- 
ployees 



15 
11 
19 
13 
15 
19 
16 
9 
10 
7 

16 

6 

17 

14 

19 

8 

19 

9 

8 

8 

12 

17 

8 

9 

23 

14 

7 

8 

16 

11 

11 

12 

6 

7 

C 

9 

9 

6 

17 

24 

7 

7 

7 

7 

15 

12 

9 

9 

15 

13 

10 

16 

10 

12 

13 

7 

25 

12 

5 

10 

10 

6 

15 

6 

19 

6 

8 

8 

9 

6 

29 

16 

14 

12 

10 

7 

9 

11 

6 



Number 
per 1,000 
inhabit- 
ants 



1.3 

1.1 

1.1 
.9 

1.3 
.9 
.9 
.8 

1.0 
.7 

1.3 
.5 

1.0 



.7 
.8 
.7 
.8 
.5 
.8 
.9 
.7 
.5 

1.8 
.7 
.5 
.6 

1.0 
.7 
.6 
.8 
.5 
.4 
.5 
.6 
.6 
.6 
.7 

1.3 
.6 
.7 
.7 
.6 

1.0 
.9 
. 7 
.8 
.9 
.8 
.9 
.7 

1.0 
.6 
.8 
.6 

1.3 
.6 
.5 
.6 

1.0 
.5 
.8 
.5 
.8 
.5 
.6 
.6 
.7 
.5 

1.8 

1.0 

1.0 
.9 
.9 
.6 
.6 
.8 
.5 



City 



Duquesne, Pa 

Ellwood City, Pa 

Farrell, Pa 

Franklin, Pa 

Oreensburg, Pa... 

Hanover, Pa 

Haverford Township, Pa 

Homestead, Pa 

Jeannette, Pa 

Kingston, Pa.. 

Latrobe, Pa 

Lewistown, Pa... 

Mahanoy City, Pa 

McKees Rocks, Pa... 

Meadville, Pa 

Monessen, Pa 

Mount Carmel, Pa 

Mount Lebanon Township, Pa. 

Munhall, Pa 

New Kensington, Pa 

North Braddock, Pa... 

Oil City, Pa 

Phoenixville, Pa 

Pittston. Pa 

Plains Township, Pa 

Plymouth, Pa. 

Pottstown, Pa 

Pottsville, Pa 

Shamokin, Pa 

Steelton, Pa 

Stowe Township, Pa 

Sunbury, Pa 

Taylor, Pa 

Turtle Creek, Pa 

Uniontown, Pa. 

Vandergrift, Pa. 

Waynesboro, Pa 

West Chester, Pa 

Bristol, R. I 

North Providence, R. I 

Warwick, R. I 

Westerly, R. I.: 

West Warwick, R. I 

Greenwood, S. C 

Rock Hill, S. C 

Aberdeen, S. Dak.. 

Huron, S. Dak 

Mitchell, S. Dak 

Rapid City, S. Dak 

Watertown, S. Dak 

Bristol, Tenn. 

Johnson City, Tenn.. 

Kingsport, Tenn 

Brownwood, Tex 

Corsicana, Tex.. 

Del Rio, Tex... 

Denison, Tex 

Harlingen, Tex... 

Lubbock, Tex 

Pampa, Tex 

Sherman, Tex... 

Sweetwater, Tox 

Temple, Tex... 

Texarkana, Tex 

Rutland, Vt 

Alexandria, Va 

Charlottesville, Va.. 

Hopewell, Va 

Staunton, Va 

Winchester, Va... 

Aberdeen, Wash 

Bremerton, Wash 

Hoquiam, Wash 

Olympia, Wash 

Port Angeles, Wash... 

Vancouver, Wash 

Walla Walla, Wash 

Wenatchee, Wash 

Yakima, Wash 



Average 
number 
of em- 
ployees 



20 

9 

13 

8 

15 

5 

36 

24 

6 

15 

8 

4 

5 

14 

11 

15 

6 

16 

23 

18 

18 

15 

8 

20 

9 

15 

17 

17 

8 

8 

12 

6 

5 

11 

20 

4 

5 

30 

8 

3 

22 

9 

10 

21 

15 

16 

11 

9 

8 

7 

8 

23 

13 

8 

12 

7 

9 

6 

14 

6 

12 

11 

11 

13 

13 

31 

21 

17 

14 

12 

17 

8 

8 

8 

6 

11 

14 

12 

22 



Number 
per 1,000 
inhabit- 
ants 



0.9 

.7 

.9 

.8 

.9 

.4 

1.7 

L2 

.4 

.7 

.8 

.3 

.3 

.8 

.7 

.7 

.3 

1.2 

1.8 

1.1 

1.1 

.7 

.7 

1.1 

.6 

.9 

.9 

.7 

.4 

.6 

.9 

.4 

.5 

LO 

LO 

.3 

.5 

2.4 

■ .7 

.3 

.9 

.8 

.6 

1.9 

L3 

1.0 

1.0 

.8 

.8 

,7 

.7 

.9 

1.1 

.6 

.8 

.6 

.6 

.6 

.7 

.6 

.8 

1.0 

.7 

.8 

.8 

1.3 

1.4 

1.5 

1.2 

1.1 

.8 

.8 

.6 

.7 

.6 

.7 

.9 

1.0 

1.0 



26 



Table 10 — A. — Number of police department employees, 1934 — Continued 
CITIES WITH 10,000 TO 25,000 INHABITANTS— Continued 



City 



Bluefleld, W. Va 

Fairmont, W. Va... 
Morgantown, W. Va 

Ashland, Wis , 

Belolt, Wis.- 

Cudahy, Wis 

Janesville, Wis 

Manitowoc, Wis 

Shorewood, Wis 



Average 


Number 


number 


per 1,000 


of em- 


inhabit- 


ployees 


ants 


14 


0.7 


18 


.8 


8 


.5 


9 


.8 


20 


.8 


12 


1.1 


14 


.6 


17 


.7 


14 


1.0 



City 



South Milwaukee, Wis 

Stevens Point, Wis 

Two Rivers, Wis 

Watertown, Wis 

Waukesha, Wis 

Wausau, Wis.. 

Wauwatosa, Wis 

Casper, Wyo... 

Cheyenne, Wyo -.. 



Average 
number 
of em- 
ployees 



10 
12 
8 
9 
15 
19 
26 
16 
14 



Number 
perl, 000 
inhabit- 
ants 



0.9 
.9 
.8 
.8 
.9 
.8 
1.2 
1.0 
.8 



DATA COMPILED FROM FINGERPRINT RECORDS 

_ During the first 6 months of 1935, the Federal Bureau of Investiga- 
tion examined 189,500 arrest records, as evidenced by fingerprint 
cards, in order to obtain data concerning the age, sex, race, and pre- 
vious criminal history of the persons represented. The number of 
fingerprint records examined was somewhat larger than for the corre- 
sponding periods of prior years, which were as follows: 1934, 173,768; 
1933, 159,493. The increase in the number of arrest records exam- 
ined should not be construed as reflecting an increase in the amount 
of crime, nor necessarily as an increase in the number of persons 
arrested, since it quite probably is at least partially the result of an 
increase in the number of local agencies contributing fingerprint 
records to the Identification Division of the Federal Bureau of Inves- 
tigation. It should be observed that the compilation of data from 
fingerprint records has been limited to cards representing arrests for 
violations of State laws and municipal ordinances. Records repre- 
senting arrests for Federal violations or commitments to penal in- 
stitutions have been excluded from this tabulation. 

The tabulation of data from fingerprint records 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 offenses. 

Records representing arrests on serious charges were as follows: 

Criminal homicide 3, 117 

Robbery 6,933 

Assault 12, 354 

Burglary 17, 728 

Larceny (except auto theft) 26, 775 

Auto theft 5, 606 

Emlx'zzlement and fraud 5, 311 

Stolen property (receiving, etc.) 2,057 

Forgery and counterfeiting 2, 671 

Rape 2, 137 

Narcotic drug laws 1, 944 

Weapons (carrying, etc.) 2, 870 

Driving while intoxicated 4, 797 

Gambling 2,486 

Total 96, 786 



27 

Of the 189,500 arrest records cxainined during the first 6 months of 
1935, 12,525 (6.6 percent) represented females. Comparison with 
the first half of the years 1933 and 1934 indicates that the percentage 
of women arrested and fingerprinted in 1935 showed a decrease, the 
percentages being: 1935, 6.6; 1934, 6.9; 1933, 6.9. The women 
arrested were most frequently charged with larceny (2,093 cases). 
Other offenses frequently listed on the arrest records were: Prostitu- 
tion and commercialized vice, 1,493; disorderly conduct, 965; assault, 
882; vagrancy, 865. In addition, 292 women were charged with 
criminal homicide and 290 with robbery. 



Table 11. — -Distribution of arrests by sex, Jan. 1-June SO, 


19S5 






Number 


Percent 


Offense charged 


Total 


Male 


Female 


Total 


Male 


Female 


Criminal homicide 


3,117 
6,933 

12, 354 
17,728 
26, 775 

5,606 
5.311 
2, 057 
2,671 
2,137 
2,280 
2.345 
1,944 
2,870 
1,902 
5,330 
4,797 
986 
6 
1, 885 
8,229 
17, 460 

13, 045 
2,486 

24, 050 

2. 784 

12,412 


2,825 

6,643 

11,472 

17, 465 

24, 682 

5,519 

5,027 

1,866 

2,454 

2.137 

787 

2.070 

1.680 

2.803 

1.842 

4,833 

4,696 

972 

6 

1,847 

7,264 

16,711 

12, 180 

2,428 

22, 380 

2,587 

11,799 


292 
290 
882 
263 
2,093 
87 
284 
191 
217 


1.6 
3.7 
6.5 
9.4 

14.1 
3.0 
2.8 
1.1 
1.4 
1.1 
1.2 
1.2 
1.0 
1.5 
1.0 
2.8 
2.5 
0.5 

(') 
1.0 
4.4 
9.2 
6.9 
1.3 

12.7 
1.5 
6.6 


1.6 
3.8 
6.5 
9.9 
13.9 
3.1 
2.8 
1.1 
1.4 
1.2 
0.4 
1.2 
1.0 
1.6 
1.0 
2.7 
2.7 
0.5 

(0 
1.0 
4.1 
9.4 
6.9 
1.4 

12.6 
1.5 
6.7 


2.3 


Robbery _ . . . 


2.3 


Assault 


7.1 


Buralary — breaking or entering 


2.1 


Larcenv — theft - 


16.7 


Auto theft-. - 


0.7 


Embezzlement and fraud . . 


2.3 


Stolen property: buyin?, receiving, possessing. 
Forgery and counterfeiting 


1.6 
1.7 


Rape 




Prostitution and commercialized vice 


1.493 

275 

264 

67 

60 

497 

101 

14 


11.9 


Other sex offenses 


2.2 


Narcotic drug laws 


2.1 


Weapons; carrying, possessing, etc 

Offenses against family and children 


0.5 

as 


Liquor laws 


4.0 


Driving while intoxicated . . . . 


as 


Road and driving laws - . - 


ai 


Parking violations 




Other traJBc and motor vehicle laws 


38 
965 
749 
865 

58 

1,670 

197 

613 


.3 


Disorderly conduct . .. 


.7.7 


Drunkenness .. 


6.0 


Vagrancy 


6.9 


Gambling 


.6 


Suspicion 


13.8 


Not stated . . - - 


1.6 


All other offenses . . . - 


4.9 






Total - 


189, 500 


176, 975 


12, 525 


100.0 


100.0 


100.0 







' Less than one-tenth of 1 percent. 

The tabulation showing the ages of persons arrested and finger- 
printed discloses, as heretofore, a large proportion of youthful offenders. 
Persons 19 years old (9,319) continued to outnumber those of any 
other single age group. There were 29,271 (15.4 percent) less than 
20 years old; 42,321 (22.3 percent) between the ages of 20 and 24; 
and 34,018 (18 percent) between the ages of 25 and 29. This makes 
a total of 105,610 (55.7 percent) less than 30 years old. 

A comparison of the proportion of 19-year-olds arrested during the 
first half of 1935 with the corresponding period of preceding years 
yields the following percentages: 1935, 4.9; 1934, 5.0; 1933, 5.2. 
On the other hand, the percentages for all persons less than 20 years of 
age are: 1935, 15.4; 1934, 15.1; 1933, 15.5. In other words, while 
there has been a decrease in the proportion of 19-year-olds arrested, 
there has been an increase during 1935 in the number of instances in 
which fingerprint cards were received reflecting the arrests of persons 
less than 19 years old, as compared with 1934. 



28 









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29 



Youths were most frequently charged ^v^Lth offenses of robbery, 
burglary, and larceny (including auto theft). For all crimes, persons 
under 25 constituted 37.7 percent of the total, but they numbered 
54. S percent of those charged with robberv^, 60 percent of those charged 
with burglar}', 40. 8 percent of those charged with larceny, and 68.9 
percent of those charged with auto theft. 

In approximately 35 percent (66,026) of the cases, the records 
indicated that the persons involved had previously been in conflict 
with the law and their fingerprints had at that time been placed in 
the files of the Identification Division at Washington, D. C. In addi- 
tion, there were 4,019 arrest records which bore notations indicating 
prior crmiinal activities of the persons represented, although there 
were no previous fingerprint cards on file at the Bureau. This makes a 
total of 70,045 arrest records containing some information concerning 
prior criminal histories. In 44,852 of those cases, the records showed 
that the persons had been convicted. This number constitutes 64 
percent of the 70,045 cases in which there was any information 
available concerning prior criminal activities, and 23.7 percent of the 
total of 189,500 arrest records examined during the first half of 1935. 
The largest proportion of persons with records showing prior con- 
victions was found among those currently charged with violation of 
the narcotic drug laws. Generally speaking, the percentage of pre- 
vious convictions was substantially larger among those charged wdth 
offenses against property than among those charged with offenses 
against the person. Of the 44,852 previous convictions disclosed by 
the records, 26,915 were for the following major violations: 

Criminal homicide - 434 

Robbery 2.088 

Assault 2, 242 

Burglary 5,841 

Larceny (except auto theft) 8, 957 

Auto theft 1,596 

Embezzlement and fraud. 1, 385 

Stolen property (receiving, etc.) 297 

It is believed significant to examine the charges currently placed 
against those whose records showed previous convictions for criminal 
homicide. Such an examination discloses that 13 of them were again 
booked for criminal homicide during the first half of this year. 
In addition, 27 were charged with robbery, 59 wdth assault, 34 with 
burglary, 54 with larceny and related offenses, 1 with forgery, 4 with 
rape, 2 with unlawful use of narcotics, 11 with carrying concealed 
weapons, and 5 with driving while intoxicated. The above serious 
violations totaled 210, and an examination of the charges placed 
against those with previous convictions for other types of serious 
offenses indicates that the majority of them were again during the 
first half of 1935 charged with violations of a similarly serious 
character. 



Forgery and counterfeiting 1,463 

Rape. 319 

Narcotic drug laws 1, 106 

Weapons (carrying, etc.) 627 

Driving while intoxicated 560 



Total. 26,915 



30 

Table 13. — Number with -previous fingerprint records — arrests, Jan. 1-June SO, 

19S5 



Ofiense charged 



Criminal homicide 

Robbery 

Assault 

Burglary— breaking or entering 

Larceny — theft -- 

Auto theft 

Embezzlement and fraud 

Stolen property; buying, receiving, 

possessing.- --. 

Forgery and counterfeiting 

Rape -- 

Prostitution and commercialized 

vice - 

Other sex offenses.- 

Narcotic drug laws 

Weapons; carrying, possessing, 

etc 





Pre- 




vious 


Total 


finger- 




print 




record 


3,117 


641 


6,933 


3,093 


12, 354 


3,624 


17, 728 


6,323 


26, 775 


9,273 


5,606 


1,892 


5,311 


2,189 


2,057 


558 


2,671 


1,053 


2,137 


473 


2,280 


789 


2,345 


527 


1,944 


1,124 


2,870 


834 



Offense charged 



Offenses against family and chil- 
dren 

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 



Total. 



Total 



Pre- 
vious 
finger- 
print 
record 



1,902 
5,330 

4,797 

986 

6 

1,885 

8,229 
17, 460 
13, 045 

2,486 
24, 050 

2,784 
12, 412 



189, 500 



455 
1,465 
1,005 

212 
2 

504 
2,787 
6,623 
5,981 

56a 
9,146 

878 
4,015 



66, 026 



Table 14. — Percentage with previous fingerprint records — arrests Ja7i. 1- 

30, 1935 ' 



June 



Offense 



Narcotic drug laws 

Vagrancy 

Robbery 

Embezzlement and fraud 

Forgery and counterfeiting 

Suspicion 

Drunkenness.. 

Burglary— breaking or entering 

Larceny — theft 

Prostitution and commercialized vice 

Disorderly conduct 

Auto theft 

Parking violations • 

All other offenses 



Percent 




57.8 




45.8 




44.6 




41.2 




39.4 




38.0 




37.9 




35.7 




34.6 




34.fi 




33.9 




33.7 




33.3 




32.3 





Offense 



Assault 

Weapons; carrying, possessing, etc 

Liquor laws.. 

Stolen property; buying, receiving, pos 

sessing 

Other traffic and motor vehicle laws 

Offenses against family and children 

Other sex offenses 

Gambling 

Rape 

Road and driving laws 

Driving while into.xicated 

Criminal homicide 



Percent 



29.3 
29.1 
27.5 

27.1 
26.7 
23.9 
22.5 
22.5 
22.1 
21.5 
21.0 
20.6 



Only 6 fingerprint cards were received representing arrests for violation of parking regulations. 



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33 

In 138,470 cases the fingerprint cards represented whites. The 
remaining records were distributed as follows: Negro, 43,147; Indian, 
724; Chinese, 504; Japanese, 101; Mexican, 5,493; all others, 1,061. 
The significance of the figures showing the number of Negroes arrested 
as compared with the number of whites can best be indicated in 
terms of the number of each per 100,000 in the general population of 
the country. Exclusive of those under 15 years of age, there were, 
according to the 1930 decennial census, 8,041,014 Negroes in the 
United States, 13,069,192 foreign-born whites, and 64,365,193 native 
whites. Of each 100,000 Negroes, 536 were arrested and finger- 
printed during the first half of 1935, whereas the corresponding figure 
for native whites was 185, and for foreign-born whites 98. In other 
words the proportionate number of Negroes arrested was more than 
5 times as great as the number of foreign-born whites and almost 3 
times the number of native whites. Figures for individual types of 
offenses may be found in the following tabulations: 

Table 16. — Distribution of arrests according to race, Jan. 1-June 30, 1935 



Offense charged 



Criminal homicide 

Robbery 

Assault 

Burglary — breaking or entering 

Larceny — theft 

Auto theft 

Embezzlement and fraud 

Stolen property; buying, receiving, pos- 
sessing - 

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 

Total 



Race 



White 



1,959 
5,113 
6,815 
12, 896 
18, 758 
4,802 
4,659 

1,581 
2,370 
1,587 
1,672 
1,929 
1,164 
1,626 
1,655 
3,428 
4,200 
675 
5 
1,403 
5,750 

13, 754 
9,792 
1,491 

17, 646 
2,158 
9,582 



138, 470 



Negro 



1,058 
1,586 
4,938 
4,198 
7,065 
638 
591 

438 
256 
415 
545 
341 
246 

1,076 
188 

1,762 
327 
246 



368 
2, 059 
2,595 
2,526 

910 
5,746 

537 
2,492 



43, 147 



In- 
dian 



10 
14 
50 
54 
87 
16 
11 

1 

10 
13 
5 
9 
4 
6 
3 

24 

28 

3 



7 

66 

110 

62 

1 
83 
16 
31 



724 



Chi- 
nese 



3 

4 

14 

2 

6 



2 
3 
2 
3 
7 
319 
22 



3 

14 

29 

7 

8 

44 



504 



Jap- 
anese 



2 
14 
2 
1 
1 

12 
2 



4 
3 

6 
10 
1 
5 
1 
9 



101 



Mexi- 
can 



67 
145 
386 
472 
757 
127 

32 

27 

27 

96 

38 

39 

145 

91 

47 

100 

209 

53 



85 
301 
954 
560 

39 
454 

50 
192 



5,493 



All 
others 



16 
71 
146 
102 
94 
23 
10 



4 

22 

17 

18 

52 

47 

8 

9 

21 

6 

1 

17 

50 

38 

81 

15 

109 

14 

62 



1,061 



Total 

all 
races 



3,117 

6,933 

12, 354 

17,728 

26, 775 

5,606 

5,311 

2,057 
2,671 
2,137 
2,280 
2,345 
1,944 
2,870 
1,902 
5,330 
4,797 
986 
6 
1,885 
8,229 

17, 460 

13, 045 
2, 486 

24,050 
2,784 

12,412 



189, 500 



34 



Table 17. — Number of arrests of negroes and whites in proportion to the number of 
each in the general population of the country, Jan. 1-June 30, 1935 

[Rate per 100,000 of population, excluding those under 15 years of age] 



Offense charged 



Criminal homicide- 
Robbery -- 



Assault. 

Burglary— breaking or entering 

Larceny — theft 

Auto theft - - 

Embezzlement and fraud 

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



Native 
white 



2.4 
6.8 
7.8 



Foreign- 
born white 



Rape 

Prostitution and commercialized vice- 
Other sex olTenses 

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... 

Di.ior derl y conduct 

Drunkenness 

V'agrancy 

Gambling _._ .-- 

Suspicion .-. 

Not stated 

All other offenses 



Total. 



18. 
25. 

6. 

6. 

1. 

3. 

2. 

2. 

2. 

1. 

2. 

2. 

3. 

5. 

1. 
(') 

1. 

7. 
19. 
13. 

1. 
23. 

2. 
12. 



185.4 



2.6 

1.8 

11.1 

4.6 

10.6 

.9 
3.8 
2.5 
1.4 
1.4 

.9 
2.3 

.6 
2.1 
1.6 
6.3 
2.6 

.4 



Negro 



1.0 
5.6 
8.7 
5.1 
1.8 
9.5 
1.5 
7.3 



98.0 



13.2 

19.7 

61.4 

52.2 

87.9 

7.9 

7.3 

5.4 

3.2 

5.2 

6.8 

4.2 

3.1 

13.4 

2.3 

21.9 

4.1 

3.1 



4.6 
25.6 
32.3 
31.4 
11.3 
71.5 

6.7 
31.0 



536.6 



> Less than one-tenth of 1 per 100,000. 

At the end of June 1935, there were 5,078,566 fingerprint records 
and 6,216,697 index cards containing the names and ahases of indi- 
viduals on file in the Identification Division of the Federal Bureau of 
Investigation. Of each 100 fingerprint cards received during the 
first 6 months of 1935, more than 48 were identified mth those on 
file in the Bureau. Fugitives numbering 2,336 were identified tlirough 
fingerprint records during the same period, and the interested law- 
enforcement officials were immediately notified of the whereabouts 
of those fugitives. 

As of June 30, 1935, there were 8,479 poHce departments, peace 
officers, and law-enforcement agencies tliroughout the United States 
and foreign countries voluntarily contributing fingerprints to the 
Bureau. 

o 



^ 



9 35 3- o- 



UNIFORM 
CRIME REPORTS 

FOR THE UNITED STATES 
AiND ITS POSSESSIONS 



Volume VI — Number 3 
THIRD QUARTERLY BULLETIN, 1935 



>- 



Issued by the 

Federal Bureau of Investigation 

United States Department of Justice 

Washington, D. C. 




UNITED STATES 

GOVERNMENT PRINTING OFFICB 

WASHINGTON : 1935 



ADVISORY 
COMMITTEE ON UNIFORM CRIME RECORDS 

OF THE 

INTERNATIONAL ASSOCIATION OF CHIEFS OF POLICE 

(11) 



UNIFORM CRIME REPORTS 

J. Edgar Hoover, Director Federal Bureau of Investigation, U. S. Department of 

Justice, Washington, D. C. 



Volume 6 October 1935 Number 3 



CONTENTS 

Classification of oflenses. 
Extent of reporting area. 
Montlily returns: 

Ofl'enscs known to the police— cities divided according to 
population. 

Daily average, offenses known to the police, 1935. 

Daily average, offenses known to the police, 1931-35. 

Offenses known to the police^ — cities divided according to 
location. 

Data for individual cities. 

Offenses known to sheriffs and State police. 

Offenses known in the possessions. 

Data from sui)plementary offense reports. 

Persons held for prosecution, 1934. 

Number of police department employees, 1934. 
Data compiled from fingerprint cards, 1935: 

Sex distribution of persons arrested. 

Age distribution of persons arrested. 

Percentage with previous fingerprint records. 

Number with records showing previous convictions. 

Race distribution of persons arrested. 

Classification of Offenses 

The term "ofl'enscs known to the police" is designed to include 
those crimes designated as part I classes of the uniform classification 
occurring within the police jurisdiction, whether they become known 
to the police through reports of police officers, of citizens, of prose- 
cuting or court ofl[icials, or otherwise . They are confined to the 
following group of seven classes of grave offenses, shown by expe- 
rience to be those most generally and completely reported to the 
police: Criminal homicide, including (a) murder, nonnegligent man- 
slaughter, and (b) manslaughter by negligence; rape; robbery; aggra- 
vated assault; burglary — brealdng or entering; larceny^ — theft; and 
auto theft. The figures contained herein include also the number of 
attempted crimes of the designated classes. Attempted murders,, 
however, are reported as aggravated assaults. In other words, an 
attcmped burglary or robbery, for example, is reported in the bulletin 
in the same manner as if the crime had been completed. 

"Offenses known to the police" include, therefore, all of the above 
offenses, including attempts, wliich are reported by the police depart- 
ments of contributing cities and not merely arrests or cleared cases. 

(1) 



2 

Coinplaints which upon investigation are learned to be groundless 
are not included in the tabulations which follow. 

In order to indicate more clearly the types of offenses included in 
each group, there follows a brief definition of each classification. 

1. Criminal homicide. — (a) Murder and nonnegligent manslaughter — includes 
all felonious homicides except those caused by negligence. Does not include 
attempts to kill, assaults to kill, justifiable homicides, suicides, or accidental 
deaths. (6) Manslaughter by negligence— includes only those cases in which 
death is caused by culpable negligence which is so clearly evident that if the 
person responsible for the death were apprehended he would be prosecuted for 
manslaughter. 

2. Rape. — Includes forcible rape, statutory rape, 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 highway 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 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 theft. Includes attempted 
burglary and assault to commit a burglary. Burglary followed by a larceny is 
entered' here and is not counted again under larceny. 

6. Larceny — theft (except auto theft). — (a) Fifty dollars and oyer in value. 
(b) Under $50 in Value — includes in one of the above subclassifications, depend- 
ing upon the value of the property stolen, pocket-picking, purse-snatching, shop- 
lifting, or any stealing of property or thing of value which is not taken by force 
and violence or by fraud. Does not include embezzlement, "con" games, for- 
gery, passing 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 un- 
authorized use by those having lawful access to the vehicle. 

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. 
Extent of Reporting Area 

In the table which follows there is shown the number of police 
departments from which one or more crime reports have been received 
during the first 9 months of 1935. The data are presented for the 
cities divided according to size. The population figures employed 
are estimates as of July 1, 1933, by the Bureau of the Census for all 
cities ^\^th population in excess of 10,000. No estimates were avail- 
able, however, for those with a smaller number of inhabitants, and 
accordingly for them the figures listed in the 1930 decennial census 
were used. 

The growth in the crime reporting area is evidenced by the following 
figures for the first 9 months of 1932-35. 



Year 


Cities 


Population 


1932 


1,546 
1,638 
1,727 
2,050 


52, 802, 362 


1933 


62, 041, 342 


1934 


62, 391, 056 
64, 012, 959 


1935 







The above comparison shows that during the first 9 months of 1935 
there was an increase of 323 cities as compared with the correspond- 
ing period of 1934, the population represented by those cities being 
1,621,903. 



Population group 


Total 
number 
of cities 
or towns 


Cities filing returns 


Total popu- 
lation 


Population repre- 
sented in returns 


Number 


Percent 


Number 


Percent 


Total 


983 


881 


90 


60, 281. 688 


57, 871, 629 


96 






1. Cities over 250,000 


37 

67 

104 

191 

594 


36 

56 

98 

177 

514 


97 
98 
94 
93 
87 


29, 695, 500 
7,850,312 
6, 980, 407 
6, 638, 544 
9,116,925 


29, 415, 100 
7,726,812 
6, 584, 307 
6, 172, 621 
7, 972, 789 


99 


2. Cities 100.000 to 250,000.. 


98 


3. Cities 50,000 to 100,000 


94 


4 Cities 25,000 to 50,000 


93 


6. Cities 10,000 to 25,000 


87 







Note.— The above table does not include 1.169 cities and rural townships aggregating a total popula- 
tion of 6,141,330. The cities included in this figure are those of less than 10,000 population filing returns 
whereas the rural townships are of varying population groups. 

MONTHLY RETURNS 

Offenses Known to the Police — Cities Divided According to Population 

There is presented in table 1 the number of offenses reported by 
the police departments of 1,388 urban communities with an aggregate 
population of 56,613,391. The figures are also shown for six groups of 
cities divided according to size. Examination of the compilation 
reveals that in general the crime rate is higher in the larger cities than 
in the small communities. 



OFFENSES KNOWN TO THE POLICE 

JANUARY TO SEPTEMBER, INCLUSIVE, 1935 

BASED ON REPORTS OF I.3M CITIES •> POPULATION S6,ei3.39l 

OFFENSES AGAINST THE PERSON 

NUMBER OF OFFENSES 
2^500 5,000 7.aOO AOOO IZyiO 15.000 17.500 ZOPOO 22.500 25,000 



MANSLAUGHTER BY NEGU6ENCE 



MURDER (INCLUOINQ N0NNE6U6EHT MANSLAU6HTER) 2,506 




AGGRAVATED ASSAULT 





FHiURE 1. 



With reference to the hgures reported by the police departments 
of 1,388 cities, it will be noted that more than one-half of all oflenses 
were larcenies. Crimes of burglary, larceny, and auto theft con- 
stituted 90.8 percent of the total crimes Hsted in the table. There 



were 28,067 offenses of robbery reported, and although they involve 
the use of force or threat of force against the person, the object of the 
crimes is to obtain property. In other words, more than 95 percent 
of all of the crimes listed in table 1 are crimes committed for the pur- 
pose of obtaining the property of others. The remaining 4.5 percent 
of the crimes were offenses against the person. In this connection, 
it may be noted that quite a number of the murders were probably the 
outgrowth of criminal operations, the purpose of which was to illegally 
gain possession of property. A percentage distribution of the offenses 
included in table 1 is shown herewith: 



Offense 



Total 

Larceny — 
Burglary... 
Auto theft. 



Rate per 
100,000 



1, 067. 3 



552.4 
234.0 
182.0 



Percent 



100.0 



51.8 
21.9 
17.1 



Offense 



Robbery 

Assault. 

Rape 

Murder. 

Manslaughter 



Rate per 
100,000 



49.6 

35.6 

5.6 

4.4 

3.7 



Percent 



4.7 

3.3 

.5 

.4 

.3 



OFFENSES KNOWN TO THE POLICE 

JANUARY TO SEPTEMBER. INCLUSIVE, 1935 

BASED ON REPORTS OF 1,388 CITIES —POPULATION 56,613,391 

OFFENSES AGAINST PROPERTY 

NUMBER OF OFFENSES 
30,000 eOpOO 90,000 120,000 150,000 180,000 210,000 240.000 270,000 300,000 




Figure 2. 



Most of the cities with more than 100,000 inhabitants made a 
distinction in their reports between the number of larcenies in which 
the value of property stolen was more than $50 and the cases in which 
the property was valued at less than $50. A separate compilation of 
that information yields the following figures: 



Larceny — theft 



Population group 



26 cities over 250,000; total population 18,389,300: 

Number of offenses known 

Rate per 100,000. 

49 cities, 100,000 to 250,000; total population, 6,804,112: 

Number of offenses known 

Rate per 100,000 




84, 354 
458.7 

40, 545 
595.9 



Of the 143,013 larcenies classified according to the value of the 
property stolen, 18,114 (12.7 percent) were cases in which the value 
of the property exceeded $50. 



Table 1. — Offenses known to the police, January to September, inclusive, 1936] 
number and rates per 100,000, by population groups 

[Population as estimated July 1, 1933, by the Bureau of the Census] 



Population group 



GROUP I 

35 cities over 250,000; total popula- 
tion, 29,002,500: 

Number of offenses known. 

Rate per 100,000 



GROUP u 

53Icities, 100,000 to 250,000; total 
population, 7,344,612: 

Number of offenses known. 

Rate per 100,000 



GROUP HI 

78 cities, 50,000 to 100,000; total popu- 
lation, 5,262,948: 

Number of offenses known 

Rate per 100,000 



GROUP IV 

139 cities, 25,000 to 50,000; total pop- 
lation, 4,832,955: 

Number of offenses known 

Rate per 100,000 



GROUP V 

408 cities, 10,000 to 25,000; total pop- 
ulation, 6,256,774: 

Number of offenses known 

Rate per 100,000 -. 



GROUP VI 

675 cities under 10,000; total popula- 
tion, 3,913,602: 

Number of offenses known 

Rate per 100,000.. 



Total, 1,388 cities; total popu- 
lation, 56,613,391: 
Number of offenses known. 
Rate per 100,000 



Criminal homi- 
cide 



Murder, 
nonneg' 
ligent 
man- 
slaugh- 
ter 



1,422 
4.9 



379 
5.2 



233 
4.4 



167 
3.5 



194 
3.1 



111 
2.8 



2,506 
4.4 



Man- 
slaugh- 
ter by 
negli- 
gence 



' 1,341 
4.9 



180 
2.5 



158 
3.0 



122 
2.5 



130 
2.1 



75 
1.9 



* 2, 006 
3.7 



Rape 



1,801 
6.2 



419 
5.7 



218 
4.1 



236 
4.9 



300 
4.8 



202 
5.2 



3,176 
5.6 



Rob- 
bery 



18, 773 
64.7 



3,313 
45.1 



2,182 
41.5 



1,548 
32.0 



1,531 
24.5 



720 
18.4 



28, 067 
49.6 



Aggra- 
vated 
as- 
sault 



10. 251 
35.3 



3,110 
42.3 



2,534 
48.1 



1,769 
36.6 



1,793 

28.7 



685 
17.5 



20, 142 
35.6 



Bur- 

glary- 
break- 
ingor 
enter- 
ing 



64,725 
223.2 



23,839 
324.6 



13, 954 
265.1 



11,854 
245.3 



11,903 

190.2 



6,212 
158.7 



132, 487 
234.0 



Lar- 
ceny — 
theft 



2 121, 947 
565.0 



48, 943 
666.4 



31, 486 
598.3 



28,419 
588.0 



28,393 
453.8 



12, 353 
315.6 



5 271,541 
652.4 



Auto 
theft 



3 47, 400 
217.0 



16, 622 
226.3 



9,044 
171.8 



7,330 
151.7 



6,746 
107.8 



2,888 
73.8 



« 90, 030 
182.0 



' The number of offenses and rate for manslaughter by negligence are based on reports of 33 cities with 
a total population of 27,274,300. 

' The number of offenses and rate for larceny-theft are based on reports of 33 cities with a total population 
of 21,549,300. 

3 The number of offenses and rate for auto theft are based on reports of 34 cities with a total population 
of 21,848,200. 

« The number of offenses and rate for manslaughter by negligence are based on reports of 1,386 cities 
with a total population of 54,885,191. 

» The number of offenses and rate for larceny-theft are based on reports of 1,386 cities with a total popu- 
lation of 49,160,191. 

• The number of offenses and rate for auto theft are based on reports of 1,387 cities with a total population 
of 49,459,091. 



Daily Average, Offenses Known to the Police, 1935 

Monthly variations in the number of offenses committed during 
the first 9 months of 1935 are indicated by the compilation appear- 
ing in the following table. This information is based on the reports 
received from the police departments of 88 cities with more than 
100,000 inhabitants, representing a total population of 36,347,112. 

The trends for murder and aggravated assault are similar in that 
those offenses are more frequently committed in the third quarter 
than in the first half of the year. This tendency is in accordance 
with the figures for prior years. On the other hand, the number of 
offenses against property (robbery, burglary, larceny, and auto 
theft) is lowest in the third quarter of the year. For robbery the 
monthly variations are consistently downward from January to July, 
following which there is a slight increase for August and September. 

In connection with the high figure for rape recorded for May, it 
should be noted that one community listed 41 such cases during that 
month, which is an unusually high number. 

Table 2. — Daily average, offenses known to the police, 88 cities over 100,000, 

January to September, inclusive, 1935 

[Total population, 30,347,112, as estimated July 1, 1933, by the Bureau of the Census! 





Criminal homicide 


Rape 


Rob- 
bery 


Aggra- 
vated 
as- 
sault 


Bur- 
glary— 
break- 
ing or 
enter- 
ing 


Lar- 
ceny- 
theft 




Month 


Murder, 
nonneg- 
ligent 
man- 
slaugh- 
ter 


Man- 
slaugh- 
ter by 
negli- 
gence 


Auto 
theft 


January 


6.6 
6.1 
5.9 
6.7 
5.9 
6.1 
8.2 
6.9 
6.9 


1 5.6 
4.9 
6.6 
7.1 
5.7 
4.5 
5.6 
4.8 
5.1 


7.3 

6.7 
8.1 
6.8 
♦9.8 
7.8 
8.9 
8.6 
9.0 


101.1 
90.0 
89.3 

88.7 
79.7 
72.1 
65.7 
71.4 
70.5 


37.7 
43.2 
47.4 
47.8 
51.8 
52.3 
52.7 
65.8 
51.3 


344.4 
357.9 
373.5 
346.3 
317.2 
297.0 
291.8 
293.4 
300.4 


2 617. 2 
628.1 
663.8 
652.0 
616.8 
612.7 
606.0 
618.4 
619.1 


i 240. » 


February.. 


244.3 


March 


264.2 


April 


251.9 


May - 


231.8 


June. ..-.--. 


217.9 


July 


208.2 


August . 


218.9 


September. 


233.6 






January to September 


6.6 


5.6 


8.1 


80.9 


48.9 


324.4 


626.0 


234.5 



1 Daily averages for manslaughter by negligence are based on reports of 86 cities with a total population 
of 34,618,912. 

2 Daily averages for larceny— theft are based on reports of 86 cities with a total population of 28,893,912. 

3 Daily averages for auto theft are based on reports of 87 cities with a total population of 29,192,812. 

* The high rape average for May is largely due to the receipt of a single report listing 41 such offenses. 

Daily Average, Offenses Known to the Police, 1931-35 

Information concerning yearly variations in the amount of crime 
known to have been committed is essential to those making a study 
of the crime problem. In order to make such data available, table 3 
has been prepared covering the first 9 months of the years 1931 to 
1935. The compilation shows decreases for all types of crimes repre- 
sented with the exception of rape and larceny. The decrease in the 
number of offenses of aggravated assault was slight, from 8,052 in 
1934 to 7,745 in 1935. Similarly, the decrease in the number of 
burglaries reported was only 5 percent. However, the decrease is 
of some significance, being from 55,085 in 1934 to 52,318 in 1935. 



On the other hand, there were substantial decreases in the number 
of robberies and auto thefts reported. During the 5-year period 
from 1931 to 1935, there was a 35.1 percent decrease in robberies, 
from 14,746 to 9,573. The decrease from 1934 to 1935 was note- 
worthy, amounting to 14.7 percent (from 11,226 in 1934 to 9,573 in 
1935). The reduction in auto thefts was equally as marked as in 
the case of robberies. The table shows that there were 65,103 cases 
of auto theft reported for the first 9 months of 1931 by the police 
departments of the 70 cities represented in this tabulation, but 
during the first 9 months of 1935 there were only 42,271 such cases, 
a reduction of 35.1 percent. The compilation shows both for rob- 
bery and for auto theft that there has been a consistent reduction 
in the number of reported offenses during the 5-year period. In the 
case of auto theft, the reduction from 1934 to 1935 amounted to 
13 percent. 

In connection with the rather marked reduction in the number of 
murders reported dm-ing the first 9 months of 1935, it should be noted 
that l)e<2:inning in January 1935 there has been employed a supple- 
ment arj- homicide report in obtaining additional data from the police 
departments of cities with more than 100,000 inhabitants. This 
report disclosed that in some cases police departments had been 
listing as actual offenses of murder cases of justifiable or excusable 
homicide. The reports for 1935 were subsequently adjusted so as to 
eliminate such cases. The result of this procedure is, of course, to 
reduce the number of offenses of murder listed for the current year. 
In view of the information obtained in connection with the 1935 
reports, it is believed probable that the murder figures for the period 
1931 to 1934 include some cases of justifiable homicide. 

The cases listed under the heading of manslaughter by negligence 
consist largely of automobile fatalities, and it will be observed that 
the figures for 1934 and 1935 are considerably lower than for the 3 
preceding years. This is probably due largely to the fact that in 
1934 it was ascertained that quite a number of the police depart- 
ments had listed as actual offenses of negligent manslaughter all cases 
of automobile fatalities. During 1934 considerable stress was placed 
upon the fact that deaths resulting from automobile accidents should 
be carried under this classification only if the driver of the automo- 
bile was guilty of gross criminal negligence. The exclusion of many 
cases of deaths resulting from automobile accidents in wliich it was 
not thought that there was present a degree of negligence sufficient 
to warrant prosecution has undoubtedly played a large part in bring- 
ing about the reduced figures for 1934 and 1935. 



27609—35 2 



8 



ANNUAL CRIME TRENDS 

OFFENSES KNOWN TO THE POLICE 

FOR CITIES OF 100,000 POPULATION AND OVER — 70 CITIES; POPULATION 19,557,202 



PERIOD COVERED — JANUARY 1,10 SEPTEMBER 30, 1931-1935 



O 

< 

cr 

UJ 

> 
< 



— 30- 



-400 • 



LARCENY - THEFT 

I 



'AUTO THEFT 




-100 
-90- 



-70 
-60- 



BURGLARY - BREAKING OR ENTERING 



ROBBERY 




•MURDER~NONNEGLIGENT" MANSLAUGHTER 




■RAPE 



-1931- 



-1932- -1933- 



1934- -1935- 



FlGUKE 3 



Table 3.^ — Daily average, offenses known to the police, 70 cities over 100,000, 
January to September, inclusive, 1931-36 



(Total population 19,557,202, as estimated July 1, 1933, by the Bureau of the Census] 






Criminal homicide 


Rape 


Rob 
bery 


Aggra- 
vated 
as- 
sault 


Bur- 
glary— 
break- 
ing or 
enter- 
ing 


Lar- 
ceny- 
theft 




Year 


Murder, 
nonneg- 
ligent 
man- 
slaugh- 
ter 


Man- 
slaugh- 
ter by 
negli- 
gence 


Auto 
theft 


Number of offenses known: 

1931 


1,164 
1,206 
1,274 
1,159 
1,028 

4.3 
4.4 
4.7 
4.2 
3.8 


1,063 

819 

923 

1640 

1 592 

3.9 

3.0 

3.4 

12.3 

1 2.2 


941 
973 
997 
981 
1,236 

3.4 
3.6 
3.7 
3.6 
4.5 


14, 746 
14, 036 
13, 586 
11, 226 
9,573 

54.0 
51.2 
49.8 
41.1 
35.1 


7, 945 
7,202 
8,907 
8,052 
7,745 

29.1 
26.3 
32.6 
29.5 

28.4 


51,914 
56,958 
58, 190 
55, 085 
52, 318 

190.2 
207.9 
213.2 
201.8 
191.6 


113,448 
116,921 
123, 078 
120, 749 
123,452 

415.6 
426. 7 
450.8 
442. 3 
452.2 


65, 103 


1932 


55,046 
52, 334 


1933 


1934 


48, 583 


1935 


42, 271 


Daily average: 

1931 


238 5 


1932 


200.9 


1933 


191 7 


1934 


178 


1935 


154. a 







1 The large decrease in the number of offen<;es of negligent manslaughter reported for 1934 and 1935 is 
undoubtedly due to a change in the procedure employed in scoring cases of that type. 

Offenses Known to the Police — Cities Divided According to Location 

Table 5 consists of crime rates for individual States and for States 
grouped into nine geographical divisions. In examining the data 
appearing in table 5 consideration should be given to the information, 
presented in table 4 which indicates the number of police departments, 
divided according to size of city, whose reports were employed in 
preparing the crime rates for individual States. The information in 
table 4 is of considerable significance because, as indicated in table 1 
of this bulletin, the larger commimities generally report higher crime 
rates than the smaller cities. There is the additional fact that in 
some instances the crime rates for a single State have been based on 
reports of a very hmited number of cities. Obviously, the crime rates 
based on records representing such a small proportion of the entire 
population of the State may differ considerably from the crime rates 
which would be obtained if more complete data were available. 

Table 5 shows that the highest rates for murder, robbery, aggra- 
vated assault, and burglary occurred in the East South Central States, 
while the lowest figures for those offenses with the exception of bur- 
glary are shown for the New England States. The lowest rate for 
burglary occm-red in the Middle Atlantic States. The West South 
Central States reported the highest figure for larceny, and the Pacific 
States the highest figure for auto theft. The lowest rates for those 
offenses occurred in the Middle Atlantic States. 



10 



Table 4.- 



-Number of cities in each State included in the tabulation of uniform 
crime reports, January to September, inclusive, 1935 





Population 




DivisioD 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 


GEOGRAPHIC DIVISION 

New England: 135 cities; total population, 
4,841,195 --. 


2 

7 

9 

3 

2 

3 

3 

1 
5 


12 

8 

10 

5 

6 

2 

5 

1 
4 


6 
20 
23 

6 
10 

2 

3 

2 
6 


21 

27 

41 

8 

14 

3 

7 

5 
13 

1 
1 
1 

S 
3 

7 

10 
10 

7 

14 

7 
9 


47 

120 

89 

49 

22 

14 

19 

12 
36 

2 
4 
2 

28 
4 

7 

41 
27 
52 

26 
11 
28 
13 
11 

9 
6 
9 
3 

5 

6 

11 


47 
187 
181 

76 

38 
7 

28 

39 

72 

7 
5 
6 
22 
4 
3 

71 
51 
65 

59 
]2 
43 
44 
23 

22 
10 
12 
1 
t 
10 
H 

I 
2 

iT 

7 
1 


135 


Middle Atlantic: 369 cities; total population, 
17,820,083 


369 


East North Central- 353 cities; total popula- 
tion, 15,121,170 


353 


West North Central: 147 cities; total popula- 
tion, 4,138,971 


147 


South Atlantic: ' 91 cities; total population, 
3,773,461 


92 


East South Central: 31 cities; total popula- 
tion, 1,608,732.. . 


31 


West South Central: 65 cities; total popula- 
tion, 2,837,877 


65 


Mountain: 60 cities; total population, 
1,107,547 . .-- -. 


60 


Pacific: 136 cities; total population, 5,364,355. 
New England: 

Maine 


136 
10 


New Hampshire 






1 


11 


Vermont 






9 


Massachusetts . 


1 
1 


8 
.. 

4 
1 
3 

3 
4 
1 
2 

1 
1 


3 

! 

4 

6 

TO 

4 
2 

\ 
3 


70 


Rhode Island 


13 


Connecticut 


22 


Middle Atlantic: 

New York . 


3 
2 
2 

5 
1 

1 
1 

1 

2 


133 




97 


Pennsylvania 


139 


East North Central: 

Ohio .- 


111 




37 


Illinois 


89 


Michigan . 


71 


Wisconsin .. 


45 


West North Central: 

Minnesota . 


34 


Iowa 


3 
1 


4 
2 
1 


24 


Missouri 


1 


25 


North Dakota 


8 


South Dakota - 








9 


Nebraska 




1 
2 

1 


1 
1 


.. 


18 


Kansas - . . . 




29 


Delaware . . - 




2 


?^larylaud . .. 


1 




1 

4 
2 

3 

2 

.. 
1 


1 
5 
2 

8 


5 


Virginia 


2 


1 
2 
3 
2 
2 

1 


23 


West Virginia. . 




13 


North Carolina 






18 


South Carolina 






4 


Georgia 






3 

3 

3 
2 

2 

7 

3 


5 
8 

3 
2 
2 

3 


10 


Florida 




3 

" 2 


16 


East South Central: 

Kentucky . 


1 

1 
1 


9 


Tennessee 


7 


Alabama 


1 


1 
1 

1 

1 
2 
3 

1 


7 


M ississi ppi 


8 


West South Central: 

.'Arkansas 






1 


8 


•it Louisiana 


1 




2 


Oklahoma 


2 
3 


2 


7 
9 

2 
1 
2 
4 
2 

r 

8 

4 

24 


20 
5 

5 
5 
1 

10 
1 
4 

11 
2 

4 

8 
60 


31 


Texas 


2 


24 


Mountain: 

Montana .. 


8 










6 


Wvominff 










3 


Colorado . 


1 




1 


1 
1 
1 
1 


17 


New Mexico 


4 


-Arizona 






1 


6 


Utah 




1 


13 


Nevada 




3 


Pacific: 

Washington 


1 
1 
3 


2 




2 

1 
10 


17 




14 


California 


2 


6 


105 







' Includes District of Columbia. 



11 



Table 5. — Rate per 100,000, offenses known to the police, January to September, 

inclusive, 19S5 



Division and State 


Murder, 
nonneg- 
ligent 
man- 
slaughter 


Rape 


Robbery 


Aggra- 
vated 
assault 


Bur- 
glary- 
breaking 
or enter- 
ing 


Lpr- 

ceny— 

theft 


Auto 
theft 


QEOQEAPIJIC DIVISION 

New England 


0.9 

3.3 

3.7 

3.2 

10. 1 

18.8 

10.0 

S.O 

3.1 


5.9 

5.2 
6.2 
4.6 
5.5 
3 8 
4.4 
6.5 
7.1 

2.9 

as 

2. 1 
7.4 

.8 
4.3 

5.5 
3.6 
6.3 

3.7 
6.7 

4.5 

13.7 

3.2 

2.5 

3. 1 
8.2 
8.2 

11.4 
3.0 
1.9 

.9 

5.5 

11.9 

4.0 

7.6 

.6 
2.7 
2.4 

2.4 
5.3 
1.7 
8.9 

.5.9 
2.4 
4.3 
5.0 

2.3 
5.4 
6.9 
6.4 
3.7 
16. 1 
6.8 
3.0 

2.4 
3.1 
8.4 


13.0 

19.8 
90.8 
53.0 
48.1 
90.9 
67.1 
68.6 
43.4 

1.9 
4.3 
6.3 

15.3 
5.2 

13.5 

11.6 
26.9 
33.2 

70.3 

65.5 

170.7 

34.5 

6.3 

51.8 
42.6 
58.0 
64.9 
53.0 
41.7 
63. 1 

19.2 
30.5 
55.2 
29.1 
36.7 
30.3 
19. 1 
66.8 

99.3 

122.9 

53.3 

42.1 

106.^. 
28.2 
76.2 
52.3 

21.7 
23.2 
32.0 
9-1.4 
43.9 
89.2 
45.9 
74.0 

5,5.5 
64.8 
38.7 


9.3 
25. 9 
30.6 
1.5.8 
120. 4 
133.5 
60.2 
17.2 
22.8 

6.7 
3.7 
3.1 
9.5 
10.4 
10.0 

22.6 
43.8 
24.7 

31.4 
36.9 
31.8 
34.2 
7.6 

12.0 
3.9 

28.2 
4.1 
2.5 

10.1 

18.4 

35.7 

7.0 

197.8 

40.4 
453.2 
109.2 

64.7 

90.7 

146.7 

166.6 

91.7 

74.5 

85.6 
66.0 
30.5 
67.9 

10.3 
17.9 

9.2 
14.2 

7.3 
52.7 
12.8 

8.9 

29.2 
11.6 
22.7 


205.5 
106. 8 
260.6 
260. 5 
325. 1 
396.8 
382.4 
370. 9 
367.3 

143.2 
124.0 
75.5 
213.3 
164.7 
237.1 

66 2 
247.0 
125.8 

279.7 
275. 4 
339. 4 
165. 6 
101.9 

289.9 
2.51.9 
232.2 
247.3 
121.1 
173.8 
360.6 

228.2 
184.6 
396.8 
284.0 
291.0 
181.9 
293.1 
514.6 

482. 3 
330.8 
426.3 
275.3 

468. 7 
142.0 
478.3 
410.1 

132.5 
202.1 
256. 2 
434.0 
365.6 
457. 1 
324.9 
650. 9 

498.6 
511.2 
325.8 


354.7 
249.8 
571.0 
684.3 
833.1 
484.9 
908. 1 
847.8 
829.6 

336. 5 
238.3 
123.8 
330.2 
433.1 
429.3 

308.0 
355.8 
165.7 

696. 7 
703.6 
367. 4 
725 9 
488.2 

336. 3 
620.4 
744.8 
568. 7 
433.9 
435.9 
819.6 

473.8 

356.7 

1. 162. 2 

656.6 

643.1 

1. 325. 6 

1, 107. 5 

1, 107. 7 

853. 7 
292.9 
327.8 
431.0 

893.8 

230.1 

932.8 

1,124.8 

889.5 
763.5 

1, 198. 8 
747.1 

1,175.3 
949.9 
721.3 

1,848. 1 

9.56. 6 

1, 107. 9 

774.6 


162.2 


Middle Atlantic ' 


116.5 


East North Central » 


157.6 


West North Central 


211. 1 


South Atlantic 3 


230. 8 


East South Central -. 


208. 4 


West South Central 

Mouniain 


239.9 
252.4 


Pacific 


289.4 


New England: 

Maine 


180 7 


New Hampshire 




36.3 


Vermont . 




64.0 


Massachu.setts 


.9 
1.2 

1.4 

3.2 
3.4 
3.3 

5.2 
3.5 
4.0 
2.5 
.6 

1.0 
2.3 
4.6 
1.0 
•2.5 
6.3 
4.2 

4.6 
4.0 
10. C 
7.3 
11.6 
10.9 
14. 1 
19.2 

10.0 
24.3 
23.7 
11.1 

14.0 

11.8 

5.5 

10.9 

8.0 
1.8 


193. 1 


Rhode Island 


62.5 


Connecticut . 


155. 1 


Middle Atlantic: 

New York < 


111.9 


New Jersey . 


145. 7 


Pennsylvania 


100. 2 


East North Central: 

Ohio« 


170.4 


Indiana 


230.4 


Illinois _ . 


145.5 


Michigan .. 


153.3 


W i.sconsin 


97.4 


West North Central: 

Minnesota. - 


276.5 


Iowa 


181.7 


Missouri . 


171.8 


North Dakota 


135.0 


Snnrh nnU-nt.n 


73.2 


Nebraska 


315.5 


Kansas 


163.3 


Soiith Atlantic: 
Delaware 


170.4 


Maryland . . . 


237. 




212.0 


West Virginia 


135.8 


North Carolina 


218.1 


South Carolina 


109.2 


Georgia 


140.4 


Florida 


224.9 


East South Central: 
Kentucky 


214.6 


Tennessee 


256.8 


Alabama .„ 

MissuKippi 


188.8 
42.8 


West South Central: 

Arkansas 


187.6 


Louisiana.- 


117.0 


Oklahoma 


168. 9 


Texas. -. 


318. 1 


Mountain: 

Montana 


103.9 


Idaho 


202. 1 


Wyoming 


231. 1 


Colorado 


4.4 
5.5 

11 9 
2.1 

11.8 

2.4 
2.2 
3.3 


178.3 


New Mexico. . 


184.6 


Arizona 


530. 2 


Utah.. 


270.9 


Nevada . . 


814.5 


Pacifpc: 

Washington . . 


288.2 


Oregon 


225.5 


California. 


296.7 







' The rates for larcenv — theft and auto theft are based on reports of 368 cities with a total population of 
10,066,783. 
' The rate for laiceny— theft is based on reports of 352 cities with a total population of 14,822,270. 
' Includes report of District of Columbia. 

« The rates for larceny— theft and auto theft are based on reports of 132 cities. 
• The rate for larceny— theft is based on reports of 110 cities. 



12 

Data for Individual Cities 

Crime data for States and for the entire Nation are essential to tKose 
studying the problem of crime from the viewpoint of a Stats or the 
entire country, and compilations designed to present such informa- 
tion are included in this bulletin. However, the handling of crime is 
largely a problem to be solved by each individual city, and a maxi- 
mum degree of success will be obtained if the pubhc generally is in- 
formed concerning the nature and extent of the local crime problem. 
In order to make such data readily available to interested individuals 
and civic organizations, there is presented in the following table the 
number of offenses reported by the police departments of individual 
cities with more than 100,000 inhabitants during the tliird quarter of 
1935. Similar information for the first 6 months of the year may be 
found in the issues of this publication for the first and second quarters 
of 1935. 

It is suggested that it will be desirable for a local community to 
make a comparison between its figures and the average figures for 
cities with approximately the same population. These average 
figures may be found in table 1 . Comparisons between the figures of 
two or more individual cities should be made with caution because 
there may be present any number of peculiar local conditions which 
may cause the crime rates to be above or below average. The most 
important type of comparison, so far as a single community is con- 
cerned, is the one which will disclose whether the amount of crime is 
increasing or decreasing in that particular community. Tliis type of 
study is recommended to those who may desire to be of assistance in 
combating crime in their community. 

In examining a compilation of crime figures for individual com- 
munities, it should be borne in mind that in view of the fact that the 
data are compiled by different record departments, operating under 
separate and distinct administrative systems, it is entirely possible 
that there may be variations in the practices employed in classifying 
complaints of offenses. On the other hand, the crime reporting man- 
ual has been distributed to all contributors of crime reports, and the 
figures received are included in tliis bulletin only if they are apparently 
compiled in accordance with the provisions of the manual, and the 
indi\4dual department has so indicated. 

Table 6. — Number of offenses known to the police, July to September, inclusive, 

1935 



City 



Akron, Ohio 

Albany, N. Y 

Baltimore, Md 

Birmingham, Ala. 

Boston, Mass 

Bridgeport, Conn- 
Buffalo, N. Y 

Cambridge, ^lass- 

•Canton, Ohio 

■Chicaso, 111 --- 

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



Murder, 
nonneg- 
ligent 
man- 
slaugh- 
ter 



15 

23 

4 

2 

6 



1 
65 
22 
IS 

4 



Rape 



52 
9 
6 



Rob- 
bery 



11 


37 





13 


16 


73 




52 


32 


56 




7 


15 


37 


4 


6 




39 



2,221 

96 

314 

91 



Aggra- 
vated 
assault 



56 
20 
11 
62 
46 

3 
69 

3 
14 
513 
87 
67 
61 



Bur- 
glary— 
break- 
ing or 
enter- 
ing 



249 

95 

449 

512 

350 

102 

179 

79 

176 

4,214 

346 

719 

527 



Larceny— theft 



$50 
and 
over 



55 
20 

143 
89 

224 

46 

47 

28 

(') 

914 

205 
73 

149 



Under 
$50 



378 

173 

735 

187 

569 

169 

385 

123 

241 

3.823 

1,058 

3,279 

753 



Auto 
theft 



43 

55 

560 

197 

1,018 

74 

258 

t, 85 

■ 64 

1, 678 

t300 

;603 

Ei 268 



Footnotes at end of table. 



13 

Table 6. — Number of offenses known to the police, July to September, inclusive, 

1935 — Continued 



City 



Dallas, Tex 

Dayton, Ohio 

Deuver, Colo 

Des Moines, Iowa 

Detroit, Mich 

Duliith. Minn.- 

Elizabeth. N.J 

El Paso, Tex 

Erie, Pa 

Evansville, Ind 

Fall River, Mass 

Flint, Mich 

Fort Wavne, Ind 

Fort Worth, Tex 

Gary, Ind 

Grand Mapids, Mich- 
Hartford, Conn 

Houston, Tex--. 

Indianapolis, Ind 

Jacksonville, Fla 

Jersey City, N. J 

Kansas City, Kans... 

Knoxville, Tenn 

Lons Beach, Calif 

Los Ansreles, Calif 

Louisville, Ky. 

Lowell, Mass.- - 

Lynn, Mass 

Memphis. Tenn 

Miami, Fla 

Milwaukee, Wis 

Minneapolis, ATinn... 

Nashville, Tenn 

Newark, N.J 

New Bedford, Mass.. 

New Haven, Conn 

New Orleans, La 

New York, N.Y 

Norfolk, Va 

Oakland, Calif 

Oklahoma City, Okla. 

Omaha, Nehr 

Peoria, 111 

Philadelphia, Pa 

Pittsburgh. Pa 

Portland, Oreg 

Providence, R. I 

Reading, Pa 

Richmond, Va 

Rochester, N. Y 

St. Louis, Mo 

St. Paul, Minn 

Salt Lake City, Utah, 

San Antonio, Tex 

San Diego, Calif 

San Francisco, Calif... 

Scranton, 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 

Waterbury, Conn 

Wichita, Kans 

Wilmington, Del 

Worcester, Mass 

Yonkers, N. Y 

Youngstown, Ohio 



Murder, 
HDnneg- 
ligent 
man- 
slaugh- 
ter 



28 
4 
5 
2 

15 



1 
3 
6 
2 
1 
1 
20 
10 



4 
7 

1 

22 

10 

2 

1 

38 

14 

2 

4 

12 

12 



21 

103 

4 

1 

4 

7 

2 

29 

19 

2 

1 



4 

2 

20 

1 



Rape 



10 
2 
5 
1 
5 



19 
1 



G 
3 

4 

4 

123 



1 
2 
2 
11 
4 
8 



5 
60 
2 
1 
1 
6 



Rob- 
bery 



7 

7 

8 

3 

7 

1 

6 

154 

1 

10 

1 

1 

1 

48 

10 

7 



16 

14 

1 

19 
6 
2 
4 
5 
2 
3 
3 



10 
2 
1 
5 
1 



4 

10 

1 

1 



35 

21 

82 

23 

233 

9 

11 

9 

6 



20 

12 

14 

36 

3 

1 

47 

87 

49 

12 

52 

9 

17 

231 

85 

3 

1 

100 

18 

6 

101 

50 

67 

4 

8 

24 

283 

33 

47 

53 

14 

22 

100 

297 

80 

3 

8 

28 

5 

116 

89 

17 

53 

9 

75 

1 

84 

1 

6 

24 

2 

11 

11 

7 

43 

3 

37 

4 

180 

1 

3 

7 

4 

5 

03 



Aggra- 
vated 
a.ssault 



114 

43 

18 

5 

264 

12 



10 

11 

3 

61 

6 

9 

32 

5 

18 

73 

76 

56 

76 

17 

8 

4 

115 

145 



247 

119 

25 

34 

93 

145 

1 

6 

157 

722 

39 

35 

25 

9 

4 

210 

35 

18 

10 

4 

257 

12 

91 

8 

11 

85 

5 

58 

9 

33 

1 

2 

30 

8 

3 



17 

32 
108 

11 
1 

80 
3 
3 

11 
3 
5 

44 



Bur- 
glary— 
break- 
ing or 
enter- 
ing 



352 
195 
408 
206 
793 

62 
158 

96 

86 
115 
105 
180 

79 
191 
165 
109 
210 
414 
516 
241 

52 
174 

95 

221 

1,047 

525 

43 
137 
334 
273 
173 
421 
171 
415 
107 
171 
172 
650 
174 
314 
250 

84 

88 
621 
421 
568 
165 

60 
388 
232 
476 
434 
180 
383 

98 
346 

74 
676 

48 

30 
204 
143 
190 

99 

87 
263 

83 
241 

50 
667 

34 
115 

73 
187 

63 
159 



Larceny— theft 



$50 
and 
over 



52 
29 

(') 
13 
193 
38 
14 
11 
23 
11 
15 
41 
19 
14 
14 
17 
53 
102 

0) 
142 

0) 

(') 

46 

46 

584 

133 

6 

22 

(') 

(■) 
54 
53 
115 

(') 
18 
34 
92 
(2) 
36 
55 
10 
25 
22 

208 
84 

176 
15 
22 

121 

32 

(■) 

59 

24 

154 
56 
(') 
14 
91 
11 
22 
95 
31 
58 
11 
22 

131 

72 
■20 
308 
17 
15 
25 
42 
6 
21 



Under 
$50 



1,530 
681 
594 
336 

4,953 
254 
219 
202 
111 
224 
73 
448 
320 
470 
123 
312 
355 
705 

1.664 
881 
42 
211 
130 
476 

2,118 

729 

69 

248 

65 

121 

1,100 
183 
235 
912 
226 
270 
226 
(2) 
429 
633 
452 
128 
81 
561 
221 

1,055 
245 
110 

1,013 
569 

2,278 
497 
322 
652 
230 

1,510 

94 

720 

66 

58 

611 

271 

504 

207 

126 

(') 

378 

88 

1,586 

58 

549 

133 
63 
51 

315 



Auto 
theft 



349 

142 

137 

156 

865 

44 

47 

56 

67 

154 

41 

103 

53 

113 

51 

54 

95 

426 

378 

146 

110 

01 

121 

97 

1,352 

258 

61 

55 

152 

109 

15S 

558 

237 

301 

54 

164 

198 

105 

293 

103 

361 

145 

439 

553 

256 

55 

42 

177 

173 

423 

264 

170 

327 

180 

823 

58 

398 

39 

58 

125 

51 

150 

94 

21 

317 

69 

70 

46 

689 

86 

30 

76 

136 

52 

143 



' Larcenies not separately reported. 
' Not reported. 



Figure listed includes both major and minor larcenies. 



14 

Offenses Known to Sheriffs, State Police, and Other Rural Officers, 1935 
Comprehensive crime data for rural portions of the United States 
are not yet available. However, such data as have been obtained for 
the first 9 months of 1935 are presented in table 7. As indicated, the 
compilation is based on reports received from 173 sheriffs, 7 State 
police units, and 73 village officers. Proportionately, there were 
fewer cases of robbery and auto theft reported in the rural sections 
than in urban communities. However, for the remaining offense 
classes, with the exception of larceny, the proportion was higher for 
rural areas. For comparative purposes, the percentage distributions 
of urban and rural crimes are presented below: 



O Sense 



Total 

Larceny 

Burglary... 
Auto theft. 



Percent 



Urban Kural 



100.0 



51.8 
21.9 
17.1 



100.0 



51.7 
26.0 
10.3 



O flense 



Robbery 

Assault 

Rape 

Murder 

Manslaughter 



Percent 



Urban Rural 



4.7 

3.3 

.5 

.4 

.3 



3.8 

4.6 

2.1 

.9 

.6 



In connection with the variation in the proportion of each type of 
offense, it should be observed that the maintenance of offense records 
as distinguished from arrest records is probably not universal as yet 
among sheriffs, with the result that some of the rural reports may be 
incomplete in the sense that they failed to include offenses reported 
to have been coir.mitted, whicli were not follov/ed by arrests. On the 
other hand, it has been noted that there is increased interest in the 
development of complete records for rural portions of the country. 

Table 7. — Offenses known, January to September 1935, inclusive, as reported by 
173 sheriffs, 7 State police units, and 73 village officers 





Criminal homicide 


Rape 


Rob- 
bery 


Aggra- 
vated 
assault 


Bur- 
glary— 
break- 
ing or 
entering 


Larceny 

—theft 






Murder, 
nonneg- 
ligent 
man- 
slaughter 


Man- 
slaughter 
by negli- 
gence 


Auto 
theft 


Offenses known .. 


212 


138 


476 


868 


1,035 


5,857 


11, 639 


2,321 





Offenses Known in the Possessions of the United States 

In table 8 there are shown available data concerning the number of 
offenses known to law-enforcement agencies in the possessions of the 
United States. The tabulation includes reports from Hawaii County, 
Honolulu (city and county), Territory of Hawaii; the Canal Zone; 
and Puerto Rico. The figures are based on both urban and rural 
areas, and the population figures from the 1930 decennial census are 
indicated in the table. 

With reference to the figures presented for the Canal Zone, it should 
be noted that the FBI has been advised that less than one-third 
of the persons arrested for offenses committed in the Canal Zone are 
residents thereof. It appears, therefore, that a large proportion of 



15 



the crime committed in the Canal Zone is attributable to transients 
and persons from neighboring communities. 

Table 8. — Offenses knoum in Untied States possessions, January to /September 1935 
[Population figures from Federal Census, Apr. 1, 1930] 





Criminal 
homicide 


Rape 


Rob- 
bery 


Aggra- 
vated 
assault 


Bur- 
glary— 
break- 
ing or 
enter- 
ing 


Larceny- 
theft 




Jurisdiction reporting 


Murder, 
nonneg- 
ligent 
man- 
slaugh- 
ter 


Man- 
slaugh- 
ter by 
negli- 
gence 


Over 
$50 

4 
98 
17 
56 


Under 

$50 


Auto 
theft 


Hawaii: 

Hawaii County, popula- 
tion, 73,325; number of 
offenses known.. 


2 

15 


3 
11 

1 
85 


6 
11 

2 
38 


15 

8 

33 


15 

35 

8 

1,486 


29 

646 

75 

477 


IKi 
1,530 

181 
3,300 


10 

177 

26 

60 


Honolulu, city and coun- 
ty, population, 202,923; 
number of offenses 
known 


Isthmus of Panama: 

Canal Zone, population, 
39,467; number of of- 
fenses known 


Puerto Rico: 

Population, 1,543,913; 
number of offenses 
known 


201 





Data from Supplementary Offense Reports 

In the issues of tliis bulletin for the first and second quarters of 
1935 there were included data compiled from the supplementary 
reports of known offenses contributed by police departments of cities 
with more than 100,000 inhabitants. Tabulations of a similar 
nature, based on reports received from the police departments of 
19 cities with an aggregate population of 8,016,497, are shown in 
tables 9, 9-A, and 9-B. The figures are based on reports which were 
apparently complete for all of the individual subclassifications 
listed. The period covered by the tables is from July to September, 
inclusive. 

The robbery figures included in the tabulation disclose that 55.4 
percent of such crimes were committed on tlie city highways and 
39.8 percent were robberies of commercial establishments. Only 
2.1 percent of the robberies were reported as having been committed 
in private residences. 

The compilation with reference to burglaries indicates that slightly 
more than half of them were committed in private residences. With 
reference to the time of day the burglaries were perpetrated, it is 
shown that 76 percent of the total reported by the 19 cities occurred 
at night. However, it will be observed that 38.7 percent of the 
burglaries of residences occurred during the day, whereas only 8.9 
percent of such crimes committed in other places occurred in the 
daytime. 

Figures for larceny disclose that of a total of 14,063 offenses, there 
were 3,453 in which the value of the property involved was less than 
$5. Furthermore, table 9 shows, with reference to the type of offense 
committed, that 159 were cases of pocket-picldng and 424 were 
instances of purse-snatching. 



16 



Table 9.- — Number of known offenses with divisions as to the nature of the criminal 
act, time, and place of commission, and value of property stolen, July to Sep- 
tember, inclusive, 1935; 19 cities over 100,000 

[Total population of 8,016,497, as estimated July 1, 1933, by the Bureau of the Census] 



Classification 


Number 
of actual 
offenses 


Classification 


Number 
of actual 
offenses 


Rape: 

Forcible .- 


90 
55 


Larceny— theft (except auto theft) 
(grouped according to value of article 
stolen) : 
Over $50 




Statutory 






1,706 


Total 


145 


$5 to $50 


8,904 




Under S5 


3,453 


Eobbery: 

Highway 


1,432 

763 

244 

17 

50 

4 

69 


Total 


14, 063 




Larceny— theft (grouped as to type of 
offense) : 
Pocket-picking . _ 


Oil station 




Chain store . _ - 




Residence 


159 


Bank 


Purse-snatching . 


424 


Miscellaneous . 


All other 


13, 480 




Total . ... 




Total 


2,585 


14, 063 








Burglary— breaking or entering: 
Residence (dwelling): 

Committed during night 

Committed during day._. 

All other (store, ofHce, etc.): 

Committed during night 

Committed during day 


2,422 
1,530 

3,488 
340 




Total - 


7,780 









The figures presented in table 9-A show that there were 4,573 auto- 
mobiles reported stolen by the police departments of the 19 cities 
represented dming the third quarter of 1935, and 4,291 recoveries. 
The percentage of recoveries of stolen automobiles for the third quarter 
of 1935 is 93.8. 

Table 9-A. — Recoveries of stolen automobiles, July to September, inclusive, 1935, 

19 cities over 100,000 

[Total population of 8,016,497, as estimated July 1, 1933, by the Bureau of the Census] 

Number of automobiles stolen 4, 573 

Number of automobiles recovered 4, 291 

Percentage recovered 93. 8 

In addition to containing more detailed information concerning the 
types of violations committed, the supplementary offense reports 
include data concerning the value of property stolen and the value of 
property recovered. This information is presented in table 9-B, with 
division according to the types of property involved. The total value 
of the property stolen was $2,894,038.23, and of that amount 55.6 
percent ($1,609,604.03) was recovered. The value of stolen auto- 
mobiles amomited to 47.7 percent of the total value of all property 
stolen, as reported for the 19 cities. 

The figures regarding property recovered include all recoveries 
during the third quarter of 1935, even though the theft of some of the 
property occurred diu-ing a prior period. The value of property 
stolen, however, is limited to thefts occurring diu-ing the third quarter 
of 1935. 



17 



Table 9-B. — Value of property stolen and value of property recovered with divisions 
as to type of property involved, July to September, inclusive, 1935; 19 cities 
« over 100,000 

[Total population of 8,016,497, as estimated July 1, 1933, by the Bureau of the Census] 



Type of property 



Currency, notes, etc 

Jewelry and precious metals 

Furs 

Clothinp 

Locally stolen automobiles.. 
Miscellaneous 

Total - 



Value of prop- 
erty stolen 



$528, 647. 28 

404, 373. 32 

18, 606. 75 

159, 772. 29 

1, 380, 965. 75 

401, 672. 84 



2, 894, 038. 23 



Value of prop- 
erty recovered 



$37, 622. 23 

99, 827. 74 

574. 00 

24, 306. 48 

1, 348, 193. 92 

99, 079. 66 



1, 609, 604. 03 



Persons Charged {Held for Prosecution), 1934 

In table 14 of the issue of this pubUcation for the first quarter of 
1935 there was presented the number of persons held for prosecu- 
tion during the year 1934, as reported by the police departments of 
793 cities, divided mto six groups according to size. In the follow- 
ing compilation there is shown similar data for individual cities 
with more than 100,000 inhabitants. The presence of an asterisk 
after the name of the city indicates that the figures for that com- 
munity were used in preparing the average figures for groups 1 
and 2 of table 14 of the bulletin for the first quarter of 1935. 

The figures for individual cities have been hmited to the seven 
major offense classes represented in the monthly offense reports. 
It should be observed that the data in table 10 have been compiled 
in terms of the number of individuals arrested and held for prosecu- 
tion, and have no reference to the number of offenses for wliich those 
individuals may have been taken into custody. The table should 
not be used as a measure of the amount of crime committed in indi- 
vidual cities, since it is generally agreed that the most accurate 
index of the amount of crime is a record of offenses known to the 
police. Such information is presented in table 6 of this pubhcation. 

Under the system of uniform crime reporting, the reports of per- 
sons arrested, contributed by individual poHce departments, should 
include juveniles who may have been taken into custody and later 
turned over to juvenile court authorities. However, it is suggested 
as possible that in some instances the figures may be incomplete due 
to the failure to include the number of juveniles arrested. 

Table 10. — Number of persons charged {held for prosecution), Jan. 1-Dec. 31, 1934 



City 



Akron, Ohio 

Albany, N". Y.* 

Baltimore, Md.*.. 

}Jirmingham, Ala 

Boston, Mass.*... 

Bridgeport, Conn.* 

Spc footnotes at end of table 



Murder, 








Bur- 




nonneg- 






Aggra- 


glary— 


Lar- 


ligcnt 


Rape 


Robbery 


vated 


break- 


ceny- 


man- 






assault 


ing or 


theft 


slaugliter 








entering 




10 


15 


84 


76 


173 


347 


3 


8 


17 


40 


78 


41 


46 


83 


425 


53 


1,424 


2.508 


85 


10 


71 


347 


262 


1810 


22 


84 


330 


156 


731 


2.209 


3 




18 


3 


64 


111 



Auto 
theft 



(') 



76 

37 

487 

252 
17 



18 

Table 10. — Number of persons charged {held for prosecution) Jan. 1-Dec. 31,. 

1934— Continued 



City 



Murder, 
nonneg- 
ligent 
man- 
slaughter 



Buffalo, N. Y.* 

Cambridsre, Mass.* 

Camdon, N. J 

Canton, Ohio.. 

Chicaijo, 111.* 

Cincinnati, Ohio* 

Cleveland, Ohio* 

Columbus, Ohio* 

Dallas, Tex.*-.. 

Dayton, Ohio* 

Denver, Colo.* 

Detroit, Mich.* 

Elizabeth, N. J.* 

El Paso, Tex 

Erie, Pa.* 

Evansville, Ind.* 

Fall River, Mass.* 

Flint, Mich... 

Fort Worth. Tex.* 

Grand Rapids, Mich.*. 

Hartford, Conn 

Houston, Tex.* 

Jacksonville, Fla.* 

Jersey City, N. J 

KnoxviUe, Tenn.* 

Lons Beach, Calif.* 

Lowell, Mass.* 

Memphis, Tenn 

Milwaukee, Wis 

Minneapolis, Minn.*... 

Newark, N. J 

New Bedford, Mass.*.. 

New Haven, Conn.* 

New Orleans, La.* 

Norfolk, Va.* 

Oakland, Calif.* 

Oklahoma City. Okla.*. 

Paterson. N. J.* 

Peoria, 111.* 

Portland, Oreg.* 

Providence. R. I.* 

Reading, Pa 

Richmond, Va.* 

Rochester, N. Y.* 

St. Louis, Mo.* 

St. Paul, Minn.* 

San Antonio, Tex.* 

San Francisco, Calif.*... 

Somerville, Mass.* 

South Bend, Ind 

Spokane, Wash 

Springfield, Mass.* 

Syracuse, N. Y.* 

Toledo, Ohio* 

Trenton, N. J 

Utica, N. Y.* 

Washington, D. C. 

Waterbury, Conn.* 

Wichita, Kans.* 

Worcester, Mass 

Yonkers, N. Y.* 



18 

8 

8 

3 

307 

62 

72 

14 

75 

21 

n 

85 
3 

13 
3 
7 
2 
4 

19 
3 



Rape 



57 

46 

10 

22 

3 

14 

64 

6 

6 

15 



2 

42 

26 

10 

20 

7 

4 

10 

1 

2 

32 

1 

85 

9 

35 

30 

1 

3 

4 

6 

3 

22 

4 



72 
1 
4 
2 
2 



(') 



51 

15 

35 

3 

264 

31 

31 

6 

10 

4 

17 

113 

8 

8 

1 

7 

13 

19 

4 

14 

30 

26 

9 

9 

7 

5 

ID 

20 

2 
68 
20 

6 
15 
19 
34 

7 
10 

3 

5 



Robbery 



7 

37 

28 

38 

4 

6 

30 

3 

2 

3 

21 

45 

28 

7 

10 
25 
7 
4 
12 
15 



94 
25 
66 
11 
1,894 
134 
416 
63 
85 
45 
16 
301 
36 
27 
5 
27 
5 
22 
77 
8 
10 
204 
92 
38 
48 
48 
13 
158 
49 
67 
290 
13 
24 
67 
76 
51 
95 
45 
31 
26 
11 
2 
96 
17 
216 
36 
110 
171 
26 
26 
14 
8 
20 
49 
9 
11 
591 
33 
20 
15 
13 



Aggra- 
vated 
assault 



496 
15 
169 
10 
1,637 
271 
143 
91 
249 
33 
8 
120 
35 
48 
30 
24 
7 
19 
42 
11 
44 
293 
54 
264 
124 
16 
1 
379 
82 
11 
399 
11 
17 
136 
158 
27 
49 
94 
20 
61 
37 
17 
554 
61 
79 
8 
296 
252 
4 
18 
46 
21 
18 
60 
123 
9 
395 
16 
20 



(0 



52 



Bur- 
glary— 
break- 
ing or 
entering 



486 
136 
125 

41 
1,442 
350 
802 
168 
289 

84 

67 
455 

48 
162 

44 

70 
170 

50 
171 

62 

75 
200 
262 
220 
131 
118 
117 
244 
198 
129 
692 
122 

90 

334 

231 

159 

198 

245 

35 

239 

122 

28 

357 

99 

436 

109 

270 

509 

68 

69 

47 

105 

77 

196 

121 

65 

1,541 

85 

47 

164 

40 



Lar- 
ceny — 
theft 



Auto 
theft 



1,534 
240 
383 
125 
4,783 
1,124 
1,212 
575 
856 
416 
66 
2,337 
191 
343 
49 
317 
179 
118 
468 
271 
232 
1,680 
621 
194 
287 
251 
210 
636 
649 
434 
784 
165 
181 
608 
604 
477 
523 
203 
145 
646 
607 
128 
993 
286 



377 
718 
<995 
151 
1.30 
140 
178 

(') 

0) 
284 
212 

3,095 

60 

366 

337 

100 



(*) 



193 
89 

102 
72 

726 

184 

278 
83 

145 
63 
15 

121 
35 
27 
6 
36 
29 
37 

105 
52 
35 

369 
87 
65 
64 

73 

81 

119 

85 

365 

61 

14 

67 

37 

82 

148 

143 

10 

104 

40 

27 

103 

55 

193 

58 

273 

89 

57 

22 

19 

71 

38 

125 

88 

14 

626 

33 

29 

66 

26 



* Represents cities whose reports were included in preparing the average figures for groups I and II in 
table 14 of the bulletin for the first quarter of 1935. 

' The number includes persons charged with both larceny and auto theft. 

2 Not reported. 

3 Figure reported not limited to offenses committed in Milwaukee. 

• The number of persons charged with larceny includes those charged with buying, receiving, and posses- 
sing stolen property. 



19 

Number of Police Department Employees, 1934 

The issues of this bulletin for the first and second quarteis of 1935 
have included information concerning the number of police employees 
for individual communities with more than 10,000 inhabitants. In 
addition, the issue for the second quarter of this year presents average 
figures for those cities divided into five groups, according to size. There 
is presented in table 11 average figures for the cities divided into 
State groups, the figures being limited to the reports received from the 
police departments of 867 cities with more than 10,000 inhabitants. 
It is suggested that the compilation will be of value to individuals and 
agencies desiring to study police problems from the viewpoint of an 
entire State. 



Table 11. — Average number of police department employees, 1934, by States 
[Population figures from Federal census, Apr. 1, 1930] 



State 


Number of 
cities repre- 
sented 


Population 
represented 


Number of 
police em- 
ployees 


Number 

per 1,000 

inhabitants 


Alabama 


7 

2 

6 

47 

8 

21 

1 

1 

10 

8 

2 

53 

30 

19 

18 

11 

8 

8 

5 

68 

39 

14 

10 

15 

5 

8 

1 

7 

60 

3 

68 

18 

4 

50 

13 

6 

85 

12 

5 

6 

7 

26 

2 

2 

13 

14 

7 

26 

2 


415,234 

80, 624 

163,714 

3, 571, 609 

428, 088 

1,034,817 

106, 597 

486, 869 

484, 986 

267, 997 

38, 015 

4, 876, 329 

1, 448, 939 

687, 805 

512, 206 

559, 181 

659, 654 

193, 062 

898, 913 

3,358,710 

2, 920, 614 

997, 005 

198,869 

1, 569, 524 
111.194 
367, 952 

18, 529 
181, 231 

2, 613, 264 

48,919 

9, 907, 375 

530, 405 

72, 920 

3,861,982 

517, 147 

384, 431 

4,920,414 

580, 868 

165,342 

92, 333 

681, 608 

1, 600, 268 

180, 539 

42, 104 

627, 004 

781,354 

254, 404 

1, 269, 214 

33, 980 


390 
113 
146 

6,109 
503 

2,045 
150 

1,381 

624 

384 

37 

7, 785 
1,707 

611 

474 

752 

1,053 

252 

1,999 

6,586 

5.428 

1,146 

191 

3,291 

102 

385 

26 

232 

5,801 

43 

24, 125 

561 

72 

4,467 

501 

493 

8, 439 
954 
298 

96 

731 

1,520 

191 

43 

913 

1,040 

237 

1,859 

30 


0.9 


Arizona 


1.4 


Arkansas . 


.9 


California - 


1.7 


Colorado . . 


1.2 


Connecticut 


2.0 


Delaware - 


1.4 


District of Columbia 


2.8 


Florida - 


1.3 


Georgia - 


1.4 


Idaho 


1.0 


Illinois - - 


1.6 


Indiana - - 


1.2 


Iowa . - . 


.9 


Kansas - _ _ 


.9 


Kentucky . 


1.3 


Louisiana 


1.6 


Maine . . . 


1.3 


Maryland ... 


2.2 


Massachusetts .. . 


2.0 


Michigan . . 


1.9 


Minnesota 


1.1 


Mis>vissippi . 


1.0 


Missouri .. 


2.1 


Mc>ntana . . . 


.9 


Nebraska.. . 


1.0 


Nevada 


1.4 


New Hampshire . 


1.3 


New Jersey. .... 


2.2 


New Mexico 


.9 


New York . . 


2.4 


North Carolina 


1.1 


North Dakota - 


1.0 


Ohio - 


1.2 


Oklahoma - 


1.0 


Oregon . . 


1.3 


Pennsylvania 


1.7 


Rhode Island . .. 


1.6 


South Carolina - 


1.8 


South Dakota . 


1.0 


Tennessee . 


1.1 


Texas 


.9 




1.1 


Vermont 


1.0 




1.5 


Washing ton 


1.3 




.9 


Wisconsin 


1.5 




.9 








867 


55, 804, 142 


96,316 


1.7 







20 

DATA COMPILED FROM FINGERPRINT RECORDS 

During the first 9 months of the calendar year 1935 the FBI 
examined 292,530 fingerprint cards currently received for infor- 
mation relative to the age, sex, race, and previous criminal 
history of the persons represented. The number of arrest records 
examined during this period was somewhat larger than for the cor- 
responding periods of prior years, which were as follows: 1934 — 
260,506; 1933 — 240,871. The increase in the number of arrest rec- 
ords examined should not be construed as reflecting an increase in 
the amount of crime, nor necessarily as an increase m the number 
of persons arrested, since it quite probably is due partially to an 
increase in the number of law-enforcement agencies contributing 
fingerprint records to the Identification Division of the FBI. 
The total number of fingerprint cards received during the periods 
mentioned above was, of course, substantially larger. However, 
compilations from fingerprint records were hmited to those represent- 
ing arrests for violations of State laws and municipal ordinances. 
Records representing arrests for Federal violations, or commitments 
to penal institutions have been excluded from the compilation. 

The tabulation of data from fingerprint records obviously does not 
include aU 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 oft'enses 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 offenses. 

The records examined disclosed that 145,296 of the individuals- 
arrested were charged with the following serious offenses: 

Criminal homicide 5, 005 

Robbery 10,065 

Assault 19,768 

Bm-glary 25,317 

Larceny (except auto theftj 39, 971 

Autotheft 8,342 

Embezzlement and fraud 8, 033 

Stolen property (receiving, etc.) 2,918 

Forgery and counterfeiting 4, 130 

Rape 3,502 

Narcotic drug laws 2, 751 

Weapons (carrying, etc.) 4, 291 

Driving while intoxicated 7, 640 

Gambling 3, 563 

Total 145,296. 



21 

Of the total of 292,530 arrest records examined 20,257 (6.9 percent) 
represented females. The proportion of females arrested during the 
first 9 months of 1935 decreased slightly from the corresponding 
periods of prior years, the figures being 1934 — 7.0 percent; 1933 — 
7.2 percent. 

Women were found to be most frequently arrested for larceny, 
3,191 (15.8 percent) of the total of 20,257 being charged with that 
type of violation. Other offenses frequently charged against women 
were found to be as follows: 

Prostitution and commercialized vice 2, 294 

Disorderly conduct 1, 591 

Assault 1, 557 

Vagrancy 1, 545 

In addition, 496 women were charged with criminal homicide and 
464 with robbery. 

Table 12. — Dislribuiion of arrests by sex, Jan. 1-Sept. SO, 19S5 



Offense charged 



Criminal homicide. 

Robbery 

Assault 

Burglary— breaking or entering. 

Larceny— theft 

Auto theft 

Embezzlement and fraud 

Stolen property; buying, receiving, possessing 

Forgery and counterfeiting 

Rape 

Prostitution and commercialized vice 

Other sex ofTenses. 

Narcotic drug lavrs 

Weapons; carrying, possessing, etc 

Oflenses against family and children 

Liquor laws 

Driving while intoxicated 

Road and driving laws 

Parking violations.. 

Other trafDc and motor vehicle laws.- 

Disorderly conduct 

Drunkenness 

Vagrancy 

Gambling 

Suspicion 

Not stated-. 

All other offenses 

Total 



Number 



Total Male Female 



5,005 
10,065 

19, 768 
25,317 
39. 971 

8,342 

8,033 

2,918 

4,130 

3,502 

3,470 

3,924 

2,751 

4,291 

2,875 

7,886 

7,640 

1,644 

6 

3,128 

12, 707 

29, 175 

20, 835 

3,563 

36, 645 

4, 232 

20, 707 



292, 530 



4,609 
9,601 

18, 211 
24, 913 
36, 780 

8,2U 
7,602 
2,663 
3,814 
3,502 
1,176 
3,441 
2,367 
4,164 
2,768 
7,144 
7,475 
1,616 
6 
3,067 
11,116 
27, 777 

19, 290 
3,462 

33, 937 

3,907 

19,754 



272, 273 



496 
464 

1,557 
404 

3,191 
131 
431 
255 
316 



2,294 
483 
384 
127 
107 
742 
165 
28 



61 

1.591 

1,398 

1,545 

101 

2,708 

325 

953 



20, 257 



Percent 



Total Male Female 



1.7 
3.4 
6.8 
8.7 

13.7 
2.9 
2.7 
1.0 
1.4 
1.2 
1.2 
1.3 
.9 
1.5 
1.0 
2.7 
2.6 
.6 

0) 
1.1 

4.3 
10.0 
7.1 
1.2 
12.5 
1.4 
7.1 



100.0 



1.7 
3.5 
6.7 
9.1 
13.5 
3.0 
2.8 
1.0 
1.4 
1.3 

.4 
1.3 

.9 
1.5 
1.0 
2.6 
2.7 

.6 
0) 
1.1 

4.1 
10.2 
7.1 
1.3 
12.5 
1.4 
7.3 



100.0 



2.4 
2.3 

7.7 
2.0 
15.8 
.6 
2.1 
1.3 
1.6 



11.3 

2.4 

1.9 

i .6 

.5 

3.7 

.8 

.1 



.3 
7.& 
6.& 
7.6 

.5 

13.4 

1.6 

4.7 



100.0 



' Less than Ho of 1 percent. 



Confirming compilations for prior periods, persons aged 19 were 
found to be more frequently arrested than those of any other age 
group. During the first 9 months of 1935, 13,986 (4.8 percent) of the 
total persons arrested were of that age. The proportion to total 
arrested for the same period of 1934 was 5 percent, and for 1933, 5.2 
percent. 



22 

The rapid increase in the number of arrests up to age 19 is shown by 
the following figures: 

Number of 
j^gg. arrests 

'under 15 1,621 

15 1,571 

16 5,290 

17 9,140 

18 13,041 

19 - 13,986 

For ages from 20 to 24, the number arrested for a single age group 
varies from 12,326 to 13,654. The compilation discloses that there 
were 44,649 (15.3 percent) under 20 years of age, 64,832 (22.2 percent) 
between the ages of 20 and 24, and 52,531 (18 percent) between 25 
and 29 years of age. This makes a total of 162,012 (55.4 percent) 
less than 30 years of age. 



NUMBER 



OF PERSONS ARRESTED 
AGES 16 TO 24 



DATA COMPILED FROM FINGERPRINT CARDS 
JANUARY I- SEPTEMBER 30, 1935 




5,290 
9, I4Q 
13,041 
13,986 
12,384 
13,654 
13,553 
I2,9!5 
12,326 



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24 



Youths were most frequently charged with offenses of robbery, 
burglary, larceny, and auto theft. For all crimes, 109,481 persons 
under 25 were arrested, thus constituting 37.4 percent of the total 
of 292,530 arrest records examined. However, the following table 
shows that youths under 25 numbered 54.1 percent of those charged 
with robbery, 59.4 percent of those charged with burglary, 46.4 per- 
cent of those charged with larceny, and 67.8 percent of those charged 
with auto theft. 

Table 14. — Number and percentage of arrests of persons under 25 years of age, 

Jan. 1-Sept. SO, 1935 



O flense charged 



Criminal homicide 

Robbery 

Assault 

Burglary— breaking or entering... 

Larceny— theft 

Auto theft -- 

Embezzlement and fraud. 

Stolen property; buying, receiving, pos 

sessing 

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 

Total 



Total num- 


Number 


Total num- 


Percentage 


ber of 


under 21 


ber under 


under 21 


persons 


years of 


25 years of 


years of 


arrested 


age 


age 


age 


5,005 


590 


1,427 


11.8 


10,065 


2,682 


5,442 


26.6 


19, 768 


2,035 


5,284 


10.3 


25, 317 


10, 057 


15,042 


39.7 


39, 971 


11,131 


18, 560 


27.8 


8,342 


3,823 


5,654 


45.8 


8,033 


499 


1,392 


6.2 


2,918 


503 


967 


17.2 


4,130 


590 


1,269 


14.3 


3, 502 


851 


1, 021 


24.3 


3,470 


314 


1,198 


9.0 


3,924 


541 


1,142 


13.8 


2,751 


124 


467 


4.5 


4,291 


647 


1,444 


15.1 


2,875 


115 


513 


4.0 


7,886 


477 


1,461 


6.0 


7,640 


374 


1,382 


4.9 


1,644 


221 


646 


13.4 


6 


1 


1 


16.7 


3,128 


581 


1,280 


18.6 


12, 707 


1,941 


4,223 


15.3 


29, 175 


1,558 


4,817 


5.3 


20, 835 


3,985 


7,981 


19.1 


3,563 


271 


728 


7.6 


36, 645 


7,074 


14, 538 


19.3 


4, 232 


732 


1,511 


17.3 


20,707 


5,316 


9,491 


25.7 


292, 53 


57, 033 


109, 481 


19.5 



Total per- 
centage 
under 25 

years of age 

28.5 
54.1 
26.7 
59.4 
46.4 
67.8 
17.3 

33.1 
30.7 
46.3 
34.5 
29.1 
17.0 
33.7 
17.7 
18.5 
18.1 
39.3 
16.7 
40.9 
33.2 
16.5 
38.3 
20.4 
39.7 
35.7 
45.8 



37.4 



In 103,462 (35.4 percent) instances the individuals arrested already 
had fingerprint cards on file in the Identification Division of the 
FBI. In addition, there were 5,990 instances in which the current 
fingerprint cards bore notations indicating that the individuals con- 
cerned had been previously arrested. This makes a total of 109,452 
records in which there was available information relative to previous 
criminal activities of the individuals represented. In 72,229 cases 
the records showed that they had been previously convicted. This 
number constitutes 66 percent of the 109,452 cases in which there 
was information available concerning prior criminal activities, and 
24.7 percent of the total of 292,530 arrest records examined. 

Persons currently charged with violation of the narcotic drug laws 

were found to most frequently possess a prior criminal record. Of a 

total of 2,751 arrested for that type of violation during the current 

year, 1,597 had previously been arrested, and 514 of those individuals 

had been convicted of violation of the narcotic drug laws. Of the 

72,229 previous convictions disclosed by the records, 34,089 were 

for the following major violations: 

Criminal homicide 683 

Robbery 3,095 

Assault 3, 956 

Burglary 6, 735 



25 



Larceny (except auto theft) 10, 316 

Auto theft 1,879 

Embezzlement and fraud 2, 056 

Stolen property (receiving, etc.) 525 

Forgery and counterfeiting 1, 210 

Rape 491 

Narcotic drug laws 1, 237 

Weapons (carrying, etc.) 847 

Driving while intoxicated 1, 059 

Total 34,089 

In many instances the individuals whose records disclosed previous 
convictions were currently charged with serious crimes. To illus- 
trate, of a total of 711 individuals previously convicted of criminal 
homicide, the following serious charges were currently placed against 
thorn: 

Criminal homicide 22 

Robbery 40 

Assault 88 

Burglary 47 

Larcen}- (and related oflenses) 91 

Forgery and counterfeiting 5 

Rape 10 

Narcotic drug laws 3 

Weapons (carrying, etc.) 19 

Driving while intoxicated 13 

Total - 338 

Table 15. — Number with previous fingerprint records arrests, Jan. 1-Sept. 30, 1935 



Offense charged 



Criminal homicide — 

Robbery --- — 

Assault - 

Burglary— breaking or entering. . 

Larceny— theft— 

Auto theft -- - 

Embezzlement and fraud -. 

Stolen properly; bujing, receiv- 
ing, possessing 

Forgery and counterfeiting 

Rape - 

Prostitution and commercialized 

vice. 

Other sex offenses 

Narcotic drug laws 

Weapons; carrying, possessing, 
etc 





Pre- 




vious 


Total 


finger- 




print 




record 


5,005 


1,042 


10,065 


4,558 


19, 768 


5,859 


25, 317 


9,170 


39,971 


14, 123 


8,342 


2,847 


8,033 


3,316 


2,918 


777 


4,130 


1,673 


3,502 


757 


3,470 


1,231 


3,924 


948 


2,751 


1,597 


4,291 


1,228 



Offense charged 



Offenses against family and chil- 
dren 

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 

Total 



Total 



2, 875 
7,886 
7,640 
1,644 
6 

3,128 
12, 707 
29,175 
20, 835 

3,563 
36,645 

4,232 
20,707 



292,530 



Pre- 
vious 
finjrer- 
print 
record 



•682 

2, 138 

1,598 

380 

2 

890 

4,334 

11,646 

9,626 

831 

13,938 

1,414 

6,857 



103, 462 



Table 16. — Percentage with previous fingerprint records arrests, Jan. 1-Sept. 30, 

193S 



Offense 



Narcotic drug laws 

Vagrancy 

Robbery - — 

Embezzlement and fraud -.. 

Forgery and counterfeiting 

Drunkenness 

Suspicion 

Burglary— breaking or entering 

Prostitution and commercialized vice. 

Larceny— theft 

Auto theft - 

Disorderly conduct 

Parking violations ' 

All other offenses 



Percent 



58.1 
46.2 
45.3 
41.3 
40.5 
39.9 
38.0 
36.2 
35.5 
35.3 
34.1 
34.1 
33.3 
33.1 



Offense 



Assault 

Weapons; carrying, possessing, etc 

Other traffic and motor vehicle laws — 

Liquor laws—. 

Stolen property; buying, receiving, pos- 
sessing -- 

Other sex offenses 

Offenses against family and children... 

Qamhling 

Road and driving laws — 

Rape - 

Driving while intoxicated 

Murder - - 



Percent 



29.6 
28.6 
28.6 
27.1 

26.6 
24.2 
23.7 
23.3 
23.1 
21.6 
20.9 
20.8 



' Only 6 fingerprint cards were received representing arrests for violation of parking regulations. 



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28 

Whites were represented by 211,886 and Negroes by 68,243 of the 
records examined. Other races were represented as follows: Indian, 
1,225; Chinese, 713; Japanese, 132; Mexican, 8,746; all others, 1,585. 
The significance of the figures showing the number of Negroes ar- 
rested, as compared with the number of whites, can best be indicated 
in terms of the number of each per 100,000 in the general population 
of the country. Exclusive of those under 15 years of age, there were, 
according to the 1930 decennial census, 8,041,014 Negroes in the- 
United States, 13,069,192 foreign-born whites, and 64,365,193 native 
whites. Of each 100,000 Negroes, 849 were arrested and finger- 
printed during the first 9 months of 1935, whereas the corresponding- 
figure for native whites was 285 and foreign-born whites 147. Figures 
for individual offense classes may be found in the following 
tabulations. 

Table 18. — Distribution of arrests according to race, Jan. 1-Sept. SO, 1935 



Offense charged 



Criminal homicide 

Robbery 

Assault 

Burglary— breaking or entering 

Larceny— theft 

Auto theft -. 

Embezzlement and fraud 

Stolen property; buying, receiving, possess 

ing 

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 

Drunknness 

Vagrancy 

Gambling _. 

Suspicion 

Not stated 

All other offenses 

Total 



Race 



White 



3,118 

7,284 

10, 943 

18, 383 

27, 812 

7,060 

7,071 

2,210 
3,661 
2,616 
2,487 
3,190 
1,659 
2,421 
2,477 
4,990 
6,658 
1,137 
5 
2,284 
8,665 

22, 895 

15, 358 
2,084 

26, 440 
3,288 

15, 690 



211,886 



Negro 



1,690 
2,403 
7,855 
6,077 
10, 772 
1,018 
856 

634 
386 
665 
898 
611 
363 

1,608 
302 

2,686 
509 
406 



640 
3,357 
4,348 
4,348 
1,342 
9,199 

786 
4,484 



68,243 



In- 
dian 



24 
16 
80 
76 
128 
29 
21 

3 

20 
25 
9 
12 
7 
9 
7 

39 

55 

5 



14 
108 
234 

95 

3 

124 

29 

53 



1,225 



Chi- 
nese 



7 
11 
25 

5 
12 

1 

7 



4 

3 

5 

11 

421 

29 



Japa- 
nese 



4 
1 
5 
30 
45 
13 
10 
47 



713 



11 
5 
9 

2 
7 



2 
14 
3 
1 
1 
14 
2 



4 
3 
9 

12 
2 
6 
3 

11 

132 



Mexi- 
can 



128 
231 
631 
642 
1,111 
195 
53 

52 

44 

158 

51 

69 

222 

130 

78 

149 

369 

84 



154 

504 

1,622 

873 

70 
706 

95 
325 

8,746 



AH 

others 



33 
120 
223 
129 
127 
37 
18 

11 
12 
32 
20 
29 
65 
91 
10 
13 
35 
9 
1 
28 
69 
62 

119 
17 

157 
21 
97 



1,585 



Total 

all 
races 



5,005 
10, 065' 
19. 768 
25,317 
39, 971 
8,342 
8, 033: 

2,918 

4,130 

3,502 

3, 470' 

3,924 

2,751 

4,291 

2,876 

7,886 

7, 640 

1,644 

6 

3,128 

12, 707 

29,175 

20, 835 

3, 563 

36,645 

4,232 

20, 707 



292, 530 



29 

Table 19. — Nutnber of arrests of Negroes and ^rhites in -proportion to the number 
of each in the general population of the country, Jan. 1-Scpt. SO, 1936 

[Rate per 100,000 of population, excluding those under 15 years of age] 



Offense charged 



Criminal homicide 

Robbery 

Assault - 

Burglary— breaking or entering 

Larceny— theft 

Auto theft - 

Embezzlement and fraud 

Stolen iJroperty; buying, receiving, possessing 

Forgery and counterfeiting 

Rape 

Prostitution and commercialized vice 

Other sex oflenses 

Narcotic drug laws 

Weapons; carrying, possessing, etc 

Oflenses 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 

Total 



Native 
white 



(') 



3.8 

9.8 

12.6 

25.7 

38.2 

10.2 

9.5 

2.6 

5.0 

3.4 

3.5 

4.0 

2.3 

2.9 

3.2 

5.8 

9.2 

1.6 

3.0 
11.4 
31.7 
21.6 

2.7 
35.1 

4.4 
21.4 



284.6 



Foreign- 
born 
white 



3.9 
2.7 

17.7 
6.8 

15.8 
1.5 
5.4 
3.5 
2.0 
2. 1 
1.4 
3.9 
.8 
3.2 
2.3 
8.5 
4.0 
.7 



1.5 
8.2 

14.5 
7.2 
2.5 

13.6 
2.4 

11.1 



147.2 



Negro 



21.0 

29.9 

97.7 

75.6 

134. 

12.7 

10.6 

7.9 

4.8 

8.3. 

11.2 

7.6 

4.5 

20.0 

3.8 

33.4 

6.3 

5.0 



8. a 
41.7 
54.1 
54.1 
16.7 
114.4 

9.8 
55.8 



1 Less than }io of 1 per 100,000. 



At the end of September 1935 there were 5,304,307 fingerprint 
records, and 6,449,665 index cards containing names or ahases of 
individuals with records on file in the Identification Division of the 
FBI. Of each 100 fingerprint cards received during the first 9 
months of 1935, more than 48 were identified with those on file in the 
Bureau. During the same period, 3,739 fugitives from justice were 
identified through fingerprint records, and information as to the 
whereabouts of those fugitives was immediately transmitted to the 
law enforcement officers or agencies desiring to apprehend them. 

The number of police departments, peace officers, and law-enforce- 
ment agencies throughout the United States and foreign countries 
voluntarily contributing fingerprints to the FBI at the end of 
September totaled 8,844. 

O 



UNIFORM 
CRIME REPORTS 

FOR THE UNITED STATES 
AND ITS POSSESSIONS 



Volume VI — Number 4 
FOURTH QUARTERLY BULLETIN, 1935 



Issued by the 

Federal Bureau of Investigation 

United States Department of Justice 

Washington, D. C. 




UNITED STATES 

GOVERNMENT PRINTING OFFICE 

WASHINGTON : 1936 



ADVISORY 
COMMITTEE ON UNIFORM CRIME RECORDS 

OF THE 

INTERNATIONAL ASSOCIATION OF CHIEFS OF POLICE 

(11) 



^^fi 24 1936 



j'» 



UNIFORM CRIME REPORTS 

J. Edgar Hoover, Director Federal Bureau of Investigation, U. S. Department of 

Justice, Washington, D. C. 



Volume 6 January 1936 Number 4 



CONTENTS 

Classification of oUVnses. 
Extent of reporting area. 
Montlily returns: 

Offenses known to the police — cities divided according to i)opu- 
lation (table 1). 

Daily average, offenses known to the police, 1935 (table 2). 

Daily average, offenses known to the police, 1931-35 (table 3). 

Offenses known to the pohce — cities divided according to location 
(tables 4-5 A). 

Data for individual cities (table 6). 

Offenses known to sheriffs and State police (table 7). 

Offenses known in the possessions (table 8). 

Data from supplementary offense reports (tables 9, 9B). 

Relation between number of police employees and crime rates 
(table 10). 

Daily average, offenses of robbery and burglary, 1930-35 (tables 
11, llA). 
Data compiled from fingerprint cards, 1935: 

Sex distribution of persons arrested (table 12). 

Age distribution of persons arrested (tables 13-16). 

Number and percentage with previous fingerprint records (tables 

17, 18). . 
Number with records showing previous convictions (tables 19- 

21)-. 
Race distiibution of persons arrested (tables 22-25). 

Classification of Offenses. 

The tenn "offenses known to the police" is designed to include 
those Climes designated as part I classes of the unifonn classification 
occurring witliin the police jurisdiction, whether they became known 
to the poHce through reports of pohce officers, of citizens, of prose- 
cuting 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, nonnegfigent manslaughter, 
and (6) manslaughter })y negligence; rape; robbery; aggravated 
assault; burglar^^ — breaking or entering; larceny — theft; and auto 
theft. The figures contained herein include also the number of 

(1) 



attempted crimes of the designated classes. Attempted murders, 
however, are reported as aggravated assaults. In other words, an 
attempted burglary or robbery, for example, is reported in the bulletin 
in the same manner as if the crime had been completed. 

"Offenses known to the pohce" include, therefore, all of the above 
offenses, including attempts, wliich are reported by the poUce depart- 
ments of contributing cities and not merely arrests or cleared cases. 
Complaints which upon investigation are learned to be groundless 
are not included in the tabulations wliich follow. 

In order to indicate more clearly the types of offenses included iu' 
each group, there follows a brief definition of each classification. 

1. Criminal homicide. — (a) Murder and nonnegligent manslaughter — includes 
all felonious homicides except those caused by negligence. Does not include 
attempts to kill, assaults to kill, justifiable homicides, suicides, or accidental 
deaths, (b) Manslaughter by negligence — includes only those cases in which 
death is caused by culpable negligence which is so clearly evident that if the 
person responsible for the death were apprehended he would be prosecuted for 
manslaughter. 

2. Rape. — Includes forcible rape, statutory rape, 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 highway 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 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 theft. Includes attempted 
burglary and assault to commit a burglary. Burglary followed by a larceny is 
entered here and is not counted again under 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, depend- 
ing upon the value of the property stolen, pocket-picking, purse-snatching, shop- 
lifting, or any stealing of property or thing of value which is not taken by force 
and violence or by fraud. Does not include embezzlement, "con" games, forgery, 
passing 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. 

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. 

Extent of Reporting Area. 

The number of police departments contributing one or more crime 
reports during the calendar year 1935 is shown in the following table. 
The information is presented for the cities divided according to size. 
The population figures employed are estimates as of July 1, 1933, by the 
Bureau of the Census for all cities with population in excess of 10,000. 
No estimates were available, however, for those with a smaller number 
of inhabitants and, accordingly, for them the figures listed in the 1930 
decennial census were used. 

The growth in the crime reporting area is evidenced by the following 
figures for 1930 to 1935: 



Year 



1930 
1931 
1932 



Number 
of cities 



1,127 
1,511 
1,578 



Population 



45, 929, 965 
51,145,734 
53, 212, 230 



Year 



1933 
1934 
1935 



Number 
of cities 



1,658 
1,799 
2,156 



Population 



62, 357, 262 
62, 757, 643 
64, 615, 330 



The above comparison shows that during 1935 there was an increase 
of 357 cities as compared with 1934. 

In addition to the 2,156 city and village police departments which 
submitted crime reports during 1935, one or more reports were re- 
ceived during that period from 766 sheriffs and State police units and 
from 10 agencies in possessions of the United States. Thisniakes a 
grand total of 2,932 agencies contributing crime reports during 1935. 



Population group 


Total 
number 
of cities 
or towns 


Cities filing returns 


Total pop- 
ulation 


Population repre- 
sented in returns 


Number 


Percent 


Number 


Percent 


Total 


983 


889 


90 


60, 281, 688 


58, 070, 229 


96 






1. Cities over 250,000 


37 

57 
104 
191 
594 


36 

56 

99 

178 

520 


97 
98 
95 
93 

88 


29, 695, 500 
7,850,312 
6, U80, 407 
6, 638, 544 
9,116,925 


29,415,100 
7,720,812 
6, 647, 8C7 
6, 210, 921 
8, 009, 589 


99 


2 Cities 100,000 to 250,000 


98 


3. Cities .50,000 to 100,000 


95 


4. Cities 25,000 to 50,000 


94 


5 Cities 10,000 to 25,000 - . 


89 







Note.— The above table does not include 1,267 cities and rural townships aggregatiuK a total population 
of 6,545,101. The cities included in this figure are those of less than 10,000 population filing returns whereas 
the rural townships are of varying population groups. 

MONTHLY RETURNS 

Offenses Known to the Police — Cities Divided According to Population. 

In table 1 there is presented the number of offenses known to the 
pohce during the calendar year 1935 as reported by the police depart- 
ments of 1,423 cities with a combined population of 57,222,252. The 
figures are also presented for the cities divided into six groups accord- 
ing to size. 

In addition to showing the number of offenses reported, the data 
are presented in terms of the number of crimes per 100,000 inhabitants. 
Expressed in the latter terms tiie murder rate for 1935 was 6. It 
should be noted that this figure includes all willful felonious killings, 
but that excusable homicides (lolling in self-defense, killing a person 
engaged in the commission of a felony, killing a criminal who is re- 
sisting arrest, and the like) have been excluded. It may be noted 
generally that the figures for cities with more than 50,000 inhabitants 
are considerably larger than those for the smaller communities. 

The number of offenses of robbery, expressed in terms of the number 
of crimes per 100,000 inhabitants, varies directly with the size of the 
city. This perfect variation occurs, however, for no other type of 
offense, but generally speaking the crime rates are substantially higher 
in the larger cities than in the communities witli less than 100,000 
inhabitants. 

With reference to the number of offenses reported by the total of 
1,423 cities, the data indicate that more than half of the total offenses 
included in table 1 were cases of larceny. This is as might be expected, 



since it is probably the least serious of the offenses included in this 
tabulation. 

Burglaries and auto thefts account for 38.6 percent of the total 
crimes. In other words, larcenies, burglaries and auto thefts account 
for nine-tenths of the total offenses listed in table 1. Although the 
robberies represented only 4.6 percent of the total crimes, there were 
37,967 robberies reported by the police departments represented in 
this compilation. Willful homicides, negligent homicides, rapes and 
aggravated assaults constitute the remaining 4.5 percent of the 
offenses reported. (It should be noted that the percentages referred 
to above have been based on the number of offenses per 100,000 
inhabitants, in order to eliminate differences in the population 
represented for several of the offense classes.) A percentage dis- 
tribution of the offenses included in table 1 is shown herewith: 



Offense 



Total 

Xarceny 

Burglary.-. 
Auto theft- 



Rate per 
100,000 


Percent 


1, 429. 4 


100.0 


747.0 
310. 
241.8 


52.3 
21.7 
16.9 



Offense 



Robbery 

Assault 

Rape 

Murder 

Negligent manslaughter 



Rate per 
100,000 



66.4 

45.7 

7.2 

6.0 

5.3 



Percent 



4.6 

3.2 

.5 

.4 

.4 



Most of the cities with more than 100,000 inhabitants made a dis- 
tinction in their reports between the number of larcenies in which the 
value of property stolen was more than $50 and the cases in which 
the property was valued at less than $50. A separate compilation of 
that information yields the following figures: 



Population group 



25 cities over 250,000; total population, 18,069,400: 

Number of ofienses known 

Rate per 100,000 

49 cities, 100,000 to 250,000; total population, 6,804,112: 

Number of offenses known 

Rate per 100,000 



Larceny — theft 



$50 and 

over in 

value 



17, 139 
94.9 

7,006 
103.0 



Under $50 
in value 



113, 925 
630.5 

55, 211 
811.4 



Of the 193,281 larcenies classified according to the value of the 
property stolen, 24,145 (12.5 percent) were cases in wliich the value 
of the property exceeded $50. 



1 



OFFENSES KNOWN TO THE POLICE 

JANUARY TO DECEMBER, INCLUSIVE, 1935 
BASED ON REPORTS OF 1,423 CITIES — POPULATION 57,222,252 

OFFENSES AGAINST THE PERSON 

NUMBER OF OFFENSES 
3,000 6,000 90 12.000 15,000 lepOO 21,000 24,000 27.000 30.000 



MANSLAUGHTER BY NEGLIGENCE 2.967 




MURRER /INCLUDING NONNEGLIGENTN -i ^9^ 

2~^^^^ \ MANSLAUGHTER ) ^I'tCO 




AGGRAVATED ASSAULT 



4.106 



26,178 




Figure l. 



OFFENSES KNOWN TO THE POLICE 

JANUARY TO DECEMBER, INCLUSIVE, I93S 

BASED ON REPORTS OF 1.423 CITIES —POPULATION 57,222,252 

OFFENSES AGAINST PROPERTY 

NUMBER OF OFFENSES 
40.000 80.000 120,000 160,000 200,000 240,000 280000 320000 360000 400,00 



37,967 



121,045 



ROBBERY 




177,381 



LARCENY Ce>«CEPT AUTO theft) | 371,796 




Figure 2. 



6 

Table 1. — Offenses known to the police, January to December, inclusive, 1935 ~ 
number and rates per 100,000, by population groups 

[Population as estimated July 1, 1933, by the Bureau of the Census] 



Population group 



GROUP I 

34 cities over 250,000; total popula- 
tion, 28,682,600: 

Number of offenses known 

Rate per 100,000 



GROUP II 

53 cities, 100,000 to 250,000; total 
population, 7,344,612: 

Number of offenses known 

Rate per 100,000 



GROUP III 

82 cities, 50,000 to 100,000; total 
population, 5,564,109: 

Number of offenses known 

Rate per 100,000 



GROUP IV 

145 cities, 25,000 to 50,000; total 
population, 5,058,168: 

Number of offenses known 

Rate per 100,000 



GROUP V 

428 cities, 10,000 to 25,000; total 
population, 6,587,438: 

Number of offenses known 

Rate per 100,000 



GROUP VI 

681 cities under 10,000; total popula- 
tion, 3,985,325: 

Number of offenses known 

Rate per 100,000 



Total, 1,423 cities; total population, 
57,222,252: 

Number of offenses known 

Rate per 100,000 



Criminal homi- 
cide 



Murder, 
noneg- 
ligent 
man- 
slaugh- 
ter 



1,883 
6.6 



520 
7.1 



350 



231 
4.6 



277 
4.2 



162 
4. 1 



3,423 
6.0 



Man- 
slaugh- 
ter by 
negli- 
gence 



1 1,921 
7.1 



289 
3.9 



242 
4.3 



177 
3.5 



216 
3.3 



122 
3. 1 



< 2, 967 
5.3 



Rape 



2,355 
8.2 



499 

6.8 



283 
5.1 



287 
5.7 



394 
6.0 



288 
7.2 



4,106 
7.2 



Rob- 
bery 



24, 977 
87.1 



4,556 
62.0 



3,201 

57.5 



2,100 
41.5 



2,116 
32.1 



1,017 
25.5 



37, 967 
66.4 



Aggra- 
vated 
assault 



13,104 

45.7 



4,189 
57.0 



3,621 
65.1 



2,114 

41.8 



2,286 
34.7 



864 
21.7 



26, 178 
45.7 



Bur- 
glary— 
break- 
ing or 
enter- 
ing 



85, 557 
298.3 



31,460 
428.3 



19, 547 
351.3 



16, 309 
322.4 



16, 205 
246.0 



8,303 
208.3 



177,381 
310.0 



Lar- 
ceny — 
theft 



2 165, 017 
777.3 



66, 775 
909.2 



44, 715 
803.6 



38, 934 
769.7 



39, 012 
592.2 



17, 343 
435.2 



5 371,796 
747.0 



Auto 

theft 



3 62, 472 
290.2 



22,302 
303.7 



13, 019 
234.0 



9,982 
197.3 



9,422 
143.0 



3,848 



8121.045 
241.8 



' The number of offenses and rate for manslaughter by negligence are based on reports of 32 cities with a 
total population of 26,954,400. 

2 The number of offenses and rate for larceny — theft are based on reports of 32 cities with a total population 
of 21,229,400. 

3 The number of offenses and rate for auto theft are based on reports of 33 cities with a total population 
of 21,528,300. 

* The number of offenses and rate for manslaughter by negligence are based on reports of 1,421 cities with 
a total population of 55,494,052. 

' The number of offenses and rate for larceny — theft are based on reports of 1,421 cities with a total popu- 
lation of 49,769,052. 

6 The number of offenses and rate for auto theft are based on reports of 1,422 cities with a total population, 
of 50,067,952. 



Daily Average, Offenses Known to the Police, 1935. 

Compilations for years prior to 1935 have indicated rather definite 
seasonal variations in the number of ofl'enses of the various types. 
These general trends have again been evidenced during 1935. In 
table 2 may be found the daily average number of offenses reported 
during 1935 by the police departments of 87 cities, each having a 
population in excess of 100,000, the combined population being 
36,027,212. 

The figures for murder and aggravated assault are highest in the 
hot simimer months, July, August, and September. This confirms 
the trends for prior years. It is interesting to note that the daily 
murder average for July is substantially higher than the figure for 
any other month. 

On the other hand, the highest figures for neghgent manslaughter 
occurred in the fourth quarter of the year, and this was Hkewise true 
for the figures for 1933 and 1934. 

The daily averages for robbery, burglary, and larceny show seasonal 
trends with the high points in the first and fourth quarters of the 
year. This seasonal variation is quite marked for robbery, but is 
less noticeable in the burglary and larceny figures. (For robbery 
figures covering the 6-year period 1930-35, see table 11.) 

The compilation presented in table 2 indicates that the highest 
averages for auto theft occurred in March and April. 

Table 2. — Daily average, offenses known to the police, 87 cities over 100,000, 

January to December, inclusive, 19S5 

[Total population, 36,027,212, as estimated July 1, 1933, by the Bureau of the Census] 



Month 



January 

February 

March.. 

April 

May 

June. 

July 

August 

September... 

October.- 

November 

December 

January to December 



Criminal 












homicide 




















Aggra- 


Bur- 
glary— 


Lar- 
ceny- 
theft 






Murder, 
nonneg- 
ligent 
man- 
slaugh- 
ter 


Man- 
slaugh- 
ter by 
negli- 
gence 


Rape 


Rob- 
bery 


vated 
as- 
sault 


break- 
ing or 
enter- 
ing 


6.5 


1 5.4 


7.1 


101.0 


37.2 


344. 3 


2 616. 5 


6.1 


4.8 


6.7 


90.0 


42.9 


357.3 


627. 8 


5.9 


6.5 


8.0 


89.2 


46.8 


372.7 


603. 5 


6.7 


6.9 


6.8 


88.7 


46.6 


345. 9 


648. 3 


5.8 


5.7 


^9.8 


79.6 


50.3 


316. 6 


616.4 


0.0 


4.5 


7.7 


72.0 


51.5 


29f). 8 


611.9 


8.1 


5.6 


8.8 


65.6 


52.4 


291. 2 


605. 6 


6.8 


4.8 


8.5 


71.0 


55.8 


292. 5 


617.6 


7.2 


5.3- 


8.7 


70.4 


51.0 


299. 7 


618. 9 


6.8 


8.0 


8.2 


73.8 


48.3 


303.5 


689.6 


6.5 


7.3 


8.2 


79.5 


43.8 


318.3 


679. 9 


6.5 


7.7 


5.1 


90.5 


41.6 


312.3 


624.3 


6.6 


6. 1 


7.8 


80.9 


47.4 


320.6 


635.0 



Auto 
theft 



3 240. 4 
243.8 
263. 7 
250.9 
230.3 
216.4 
207.1 
217.6 
2:J2.4 
230. 3 
239.6 
216.0 

232.3 



' Daily averages for manslaughter by negligence are based on reports of 85 cities with a total population 
of 34,299.012. 

2 Daily averages for larceny— theft are based on reports of 85 cities with a total population of 28,574,012. 
' Daily averages for auto theft are based on reports of 86 cities with a total population of 28,872,912. 
* The high rape average for May is largely due to the receipt of a single report listing 41 such offenses. 



46342°— 36- 



8 



MONTHLY CRIME TRENDS 

OFFENSES KNOWN TO THE POLICE 

FOR CITIES OF 100.000 POPULATION AND OVER — 87 CITIES; POPULATION 36,027,212 

PERIOD COVERED - JANUARY TO DECEMBER, INCLUSIVE, 19 35 

DAILY AVERAGE 




.LARCENY -THEFT 



600 
SOO 
400 

300 
200 



I 00 
90 
80 
70 
60 
50 

40 
30 

20 



^BURGLARY - BREAKING OR ENTERING 




-AGGRAVATED ASSAULT 



.MANSLAUGHTER BY NEGLIGENCE 




■MURDER - N0NNEGLI6ENT MANSLAUGHTER 



JAN. FEB MAR APR M*Y JUNE JULY AUG SEPT OCT MOV DEC 



Figure 3. 



Daily Average, Offenses Known to the Police, 1931-35. 

Ill order to make available data showing annual trends in the 
amount of serious crime known to the police, there is presented in 
table 3 the number of offenses reported for 1931-35 by the police 
departments of 74 of the larger cities with an aggregate population 
of 21,023,312. 

The compilation shows that in 1935 there has been a rather sub- 
stantial decrease in the number of offenses of murder and nonnegligent 
manslaughter. This figure represents willful felonious homicides. It 
is suggested that the decrease may be largely attributable to the fact 
that during 1935 it was ascertained that many police departments 
had been including as felonious homicides cases which were excusable 
in nature, such as the kilhng of a felon who was resisting arrest by a 
police officer. Such cases were subsequently excluded, together with 
instances of kiUing in self-defense by private individuals, and this 
modification in the scoring of homicides may account for a rather 
substantial j)ortion of the decrease showTi for 1935. 

^Yith reference to the robbery and auto theft classifications, it may 
be noted that the 1935 figures represent a decrease of 35.2 percent 
as compared with the figures for 1931. The table shows an uninter- 
rupted decrease in the nimiber of robberies and auto thefts reported 
during the past 5 vears. Robberies decreased from 21,999 in 1931 
to 14,248 in 1935, "and auto thefts from 96,300 in 1931 to 62,406 ui 
193o. The decreases for those two ofl'enses during 1935 as compared 
with the preceding year were quite substantial, amounting to 16.3 
percent for robbery and 14.1 percent for auto theft. 

There w^ere 76,001 burglaries reported for 1935, compared wdth 
83,459 for 1934. Tliis represents a decrease of 8.9 percent. For 
aggravated assault and larceny there were no significant changes 
as compared wdth prior periods. 

The cases listed under the heading of manslaughter by negligence 
consist largely of automobile fatalities, and it will be observed that 
the figures for 1934 and 1935 are considerably lower than for the 3 
preceding years. Tliis is probably due largely to the fact that in 
1934 it was ascertained that quite a number of the police depart- 
ments had listed as actual offenses of negligent manslaugher all 
cases of automobile fatafities. During 1934 considerable stress was 
]Dlaced upon the fact that deaths resulting from automobile accidents 
should be carried under this classification only if the driver of the 
automobile was guilty of gross criminal negligence. The exclusion 
of many cases of deaths resulting from automobile accidents in 
w^hich it was not thought that there w\as present a degree of negligence 
sufficient to warrant prosecution has undoubtedly played a large 
part m bring about the reduced figures for 1934 and 1935. 



10 



ANNUAL CRIME TRENDS 

OFFENSES KNOWN TO THE POLICE 

FOR CITIES OF 100,000 POPULATION AND OVER — 74 CITIES; POPULATION 21,023,312 
PERIOD COVERED- JANUARY TO DECEMBER, INCLUSIVE, 1931-1935 



UJ 

o 

< 
cr 

UJ 



< 




'BURGLARY - BREAKING OR ENTERING 



-80 

-70 — ;^ROBBERY 

-60- '^ 




-10- 



MURDER - NONNEGLIGENT MANSLAUGHTER 



■500- 




RAPE 



-1931- -1932- -1933- -1934- -1935- 



FlGURE 4. 



11 



Daily average, offenses known to the police, 74 cities over 100,000, 
January to December, inclusive, 1931-35 



Table 3 

[Total population 21,023,312, as estimated July 1, 1933, by the Bureau of the Census] 





Criminal 
homicide 


Rape 


Rob- 
bery 


Aggra- 
vated 
as- 
sault 


Bur- 
glary— 
break- 
ing or 
enter- 
ing 


Lar- 
ceny- 
theft 




Year 


Murder, 

nonneg- 

lifrent 

man- 

slaueh- 

ter 


Man- 
slaufib- 
ter by 
negli- 
gence 


Auto 
theft 


Number of offenses known: 

1931. 


1,649 
1,656 
1,778 
1,656 
1,455 

4.5 
4.5 
4.9 
4.5 
4.0 


1,524 
1, 17") 
1,-!01 
1 941 
1959 

4.2 

3.2 

3.8 

' 2.6 

12.6 


1,279 
1,308 
1,324 
1,403 
1,597 

3.5 
3.6 
3.6 
3.8 
4.4 


21, 999 

20, SSO 
20, 025 
17,017 
14, 248 

60.3 
57.0 
.54.9 
46.6 
39.0 


11,174 
9, 825 
12, 104 
11,282 
10, 765 

30.6 
26.8 
33.2 
30.9 
29.5 


79, 465 

84, 878 
87, 846 
83, 459 
76,001 

217.7 
231.9 
240.7 
228.7 
208.2 


166, 043 
169, 173 
181, 325 
181, 974 
179. 703 

454.9 
462. 2 
496. 8 
498.6 
492.3 


96,300 


1932 . . 


82, 154 


1933- 


78,727 


1934 _ 


72,666 


1935 . 


62,406 


Daily average: 

1931. 


263 8 


1932 


224.5 


1933 


215 7 


1934. 


199. 1 


1935 


171.0 







' The large decrease in the number of offenses of negligent manslaughter reported for 1934 and 1935 is 
undoubtedly due to a change in the procedure employed in scoring cases of that type. 

Offenses Known to the Police — Cities Divided According to Location. 

In table 4 there is presented information regarding the number 
of poHce departments whose reports were employed in the prepara- 
tion of figures representing crime rates for the individual States. 
This information is included here in order to show the number of 
such contributors according to size of city, and it is believed it wiU 
be helpful in evaluating the crime data for individual States, since 
table 1 has indicated that there is a noticeable tendency for the large 
cities to report higher crime rates than the smaller communities. 
It should be further observed that in several instances the number 
of records entering into the construction of State rates is quite 
limited. In some cases the figures for individual States are based 
on reports from only one to six police departments. Obviously, 
the crime rates based on such a limited number of records may 
differ considerably from the figures which would result if reports 
were available from all urban communities in the State. 

In table 5 there are presented the crime rates for the individual 
States, together with figures for nine geographic divisions of the 
country. 



12 



Table 4. — Number of cities in each Stale included in the tabulation of uniform 
crime reports, January to December, inclusive, 1935 



Division and State 



GEOGRAPHIC DIVISION 

New England: 163 cities; total population, 
5,490,083 

Middle Atlantic: 357 cities; total population, 
17,464,764 

East Nortli Central: 363 cities; total popula- 
tion, 15,279,962 

West North Central: 150 cities; total popula- 
tion, 4,138,399 --- 

South Atlantic: * 91 cities; total population, 
3,842,560 

East South Central: 34 cities; total population, 
1,687,835 

West South Central: 72 cities; total popula- 
tion, 3,040,817 

Mountain: 60 cities; total population, 1,120,941 _ 

Pacific: 133 cities; total population, 5,156,891.. 

New England: 

Maine 

New Hampshire 

Vermont 

M assachusetts 

R hode Island 

Connecticut 

Middle Atlantic: 

New York 

New Jersey 

Pennsylvania 

East North Central: 

Ohio 

Indiana 

Illinois 

Michigan 

Wisconsin 

West North Central: 

Minnesota 

Iowa 

M issouri 

North Dakota 

South Dakota 

Nebraska -. 

Kansas 

South Atlantic: 

Delaware 

Maryland 

Virginia 

West Virginia 

North Carolina 

South Carolina 

Georgia 

Florida 

East South Central: 

Kentucky 

Tennessee 

Alabama 

Mississippi -- 

West South Central: 

Arkansas 

Louisiana- 

Oklahoma _ 

Texas 

Mountain: 

Montana.- 

Idaho.-- 

Wyoming 

Colorado 

New Mexico 

Arizona 

Utah 

Nevada 

Pacific: 

Washington 

Oregon.. 

California 



Population 



Over 
250,000 



100,000 

to 
250,000 



12 
8 

10 

5 

6 

2 

5 
1 
4 



50,000 

to 
100,000 



10 

19 

23 

5 

11 

2 

5 
2 
5 

1 

1 



25,000 

to 
50,000 



23 

29 

43 

9 

14 

4 



5 
10 



11 
4 



10 

12 



14 
7 
9 




10,000 

to 
25,000 



60 

120 

91 

51 

21 

16 

21 
13 
35 

5 
5 
2 
37 
4 
7 

39 

28 
53 

27 
12 
24 
17 
11 

10 
7 
9 
3 
5 
6 

11 



3 

24 



Less 
than 
10,000 



56 

175 

187 

77 

37 



30 
38 

74 



7 

29 

3 

3 

69 
43 
63 

57 
12 
40 

57 
21 

24 

10 

11 

5 

4 

9 

14 



2 

10 

8 

6 



21 

7 

5 
5 
2 

9 

1 
4 
9 
3 

4 

8 

62 



Total 



163 

357 

363 

150 

91 

34 

72 

60 

133 

15 

13 

9 

91 

14 
21 

130 

90 

137 

110 
39 

82 
90 
42 

37 
25 
24 
9 
10 
17 
28 

1 
6 
22 
14 
19 
3 
10 
15 

10 
8 

7 
9 

7 

7 

32 

26 



6 
4 

16 
4 
6 

12 
4 

17 

13 

103 



' Includes District of Columbia. 



13 



Table 5. — Rate per 100,000, offenses known to the police, January to December, 

inclusive, 1935 



Division and State 


Murder, 

non- 
negligent 

man- 
slaughter 


Rape 


Rob- 
bery 


Aggra- 
vated 
as- 
sault 


Bur- 
glary-- 
break- 
ing or 
enter- 
ing 


Lar- 
ceny- 
theft 


Auto 
theft 


GEOGRAPHIC DIVISION 

New Encland - 


1.2 

4.4 

5.0 

4.3 

13.9 

23.9 

13.5 

7.0 

4.0 

.4 


7.1 
7.2 
7.8 
5.3 
6.6 
4.5 
5.0 
8.5 
9.4 

5.4 
8.9 
4.0 
8.8 
1.2 
4.9 

7.8 
4.4 
7.0 

4.8 
7.6 
5.4 
16.9 
4.3 

2.2 
3.7 

10.0 
7.6 

12.3 
3.3 
2.7 

1.9 
6.6 
14.4 
4.7 
7.3 

3;^ 
3.2 

3.4 
6.1 
2. 1 
9. 1 

4.6 

■ 2.6 

5.5 

5.9 

5.7 
7.2 
5.7 
6. 1 
9. 1 

20.4 
8.6 

10.8 

2.9 

3.7 

11.4 


19.4 
26.2 

119.4 
70.7 
69.2 

120.3 
76.6 
87.5 
61.2 

17.9 
4.7 

12.0 

22.8 
6.9 

19.4 

15.7 
38.4 
43.2 

94.2 

85.4 

224.2 

48.4 
10.4 

69.5 
54.6 
76.7 
93.1 
67.5 
55.6 
88.4 

27.2 
40.5 
82.8 
36.9 
65.7 
40.0 
30.1 
81.9 

139.5 

158.0 

70.0 

50.6 

121.4 
41.7 

106.0 
72.7 

30.8 
32.2 
45.9 

113.1 
67.6 

114.7 
71.8 
83.8 

78.5 
92.6 
54.1 


13.3 
32.7 
38.4 
20.4 
155.6 
162.3 
83.4 
24.3 
29.3 

22.5 
5.2 
4.0 

13.7 
9.6 

14.1 

30. 1 
51.2 
30.8 

40.3 
42. 1 
40.8 
42.2 
8.6 

15.2 
5.7 

30.6 
6.7 
7.0 

11.7 

25.7 

58.2 

9.4 

258.0 

59. 1 
523.3 
152.3 

82.9 
136.3 

178.8 

206.6 

108. 1 

88.8 

92.4 

113.2 

40.9 

87.8 

14.8 
23.2 
9.6 
21.2 
16. 5 
66.3 
20. 1 
13.5 

32.5 
14.9 
30.2 


269.2 
141.4 
344. 1 
330.5 
437. 5 
520.8 
484. 1 
499. 1 
497.1 

313.4 
171.3 

67.8 
275.2 
213.4 
307.7 

90.7 
352. 1 
103.7 

364.4 
366. 9 
453.5 
220. 2 
134.5 

366.2 
322.5 
307.2 
343. n 
213. 
211.3 
440.8 

293.6 
238.0 
515.4 
351.9 

454. 2 
203.4 
398.8 
702.5 

648.8 
445.8 
545.9 
354.5 

612.3 
232.4 
610.8 
523.1 

163.3 
270.0 
317.7 
617.7 

455. 1 
603.2 
418.8 
646.3 

666.2 
694. 9 
440.5 


474.3 

348.3 

762.3 

816.5 

1,111. 1 

686.0 

1, 218. 6 

1, 190. 2 

1, 108. 9 

459.3 
301. 6 
103.8 
437.2 
568.9 
611.5 

424.0 
540.2 
225.6 

939.2 
921.8 
497.1 
933.7 
640.6 

451.2 
877.5 

1, 052. 5 
756. 3 
530.3 
545. 2 

1, 295. 6 

664.2 

497.2 

1, 585. 3 

736. 

813. 1 

1,905.4 

1, 505. 8 

1,421.5 

1, 205. 7 
409.7 
440. 1 
592.4 

1, 090. 4 

527.5 

1, 291. 8 

1, 495. 5 

1, 195. 6 
1,115.8 
1,651.8 
1,071.9 
1. 632. 3 
1, 249. 8 
1, 023. 9 
2,401.2 

1, 277. 4 
1, 486. 6 
1, 032. 6 


217.7 


Middle Atlantic ' .. 


160.9 


East North Central ' 


203.0 


West North Central 


279.2 


South Atlantic ^ ..- -- 


302.2 


East South Central 


283.6 


West South Central 

Mountain - - 


301.8 
337.8 


Pacific 


398.9 


New England: 


250.5 


New Hampshire 


53.2 


Vermont - 




77. 1 


M assacli uset ts 


1.2 
1.7 
1.7 

4.3 
5.0 
4.5 

7.0 
4.7 
5. 7 
3.3 
.9 

1.6 
2.8 
6.5 
1,9 
3.5 
6.3 
5.7 

7.5 
4.8 
15.4 
9.3 
19.8 
16.5 
21.9 
23.4 

15. 5 
29.7 
30.0 
14.9 

16.8 

16.4 

7.9 

14.3 

8.0 
3.6 
1.9 
7.0 
9. 1 

11.4 
3.3 

16.2 

3.7 

2.6 
4.3 


253.1 


Rhode Island 


80.4 


Connecticut . 


217.3 


Middle Atlantic: 

New York * .. _- 


157.2 


New Jersey 


199.3 


Pennsylvania 


148.4 


East North Central: 

Ohio* 


226.8 


Indiana 


285.2 


Illinois _ - -- 


185.6 


Michigan 


195.4 


Wisconsin 


116.6 


West North Central: 

Minnesota - 


360.8 


Iowa - 


247.7 


Missouri 


228. 2 


North Dakota 


168.2 


South Dakota 


180.6 


Nebraska .. - - .- - 


429.2 


Kansas 


177.9 


South Atlantic: 

Delaware 


228.0 


Maryland. - - 


304.0 




281.7 


West Virginia 


193.5 




288. 1 


South Carolina 


125.5 


Georgia . 


185.0 


Florida 


286.1 


East South Central: 

Kentucky 


313.2 


Tennessee -- 


348.7 


Alabama 


235. 1 




70.6 


West South Central: 

Arkansas 


254.4 


Louisiana . 


168.4 


Oklahoma 


208.4 


Texas 


403.5 


Mountain: 

Montana _ . 


130.2 


Idaho 


259.3 


Wyoming 


269.9 


Colorado . 


238.8 


New Mexico 


243. 1 


Arizona . . 


731.5 


Utah 


374.5 


Nevada 


951.8 


Pacific: 

Washington 


394.9 


Oregon 


299.4 




410.7 







' The rates for larceny— theft and auto theft are based on reports of 356 cities with a total population of 
10,310,464. 
' The rate for larceny— theft is based on reports of 362 cities with a total population of 14,981,062. 
3 Includes report of District of Columbia. 

« The rates for larceny— theft and auto theft are based on reports of 129 cities. 
» The rate for larceny— theft is based on reports of 109 cities. 



14 



Table 5A includes for the 6 States which are represented by the 
largest number of contributors of crime reports the number of offenses 
per 100,000 inhabitants for the cities divided into 6 groups according 
to size. The grouping of the cities is similar to that employed in 
table 1. The number of police departments whose reports were 
employed in the compilation of each set of figures may be ascertained 
by referring to table 4. 

Table 5A. — Offenses known to the police, January to December, inclusive, 1935; 
mimber per 100,000 inhabitants, by population groups 



State and Population Group 


Murder, 

non- 
negligent 

man- 
slaughter 


Rape 


Rob- 
bery 


Aggra- 
vated 
as- 
sault 


Bur- 
glary— 
break- 
ing or 
enter- 
ing 


Lar- 
ceny- 
theft 


Auto 
theft 


CALIFORNIA 

GrouD I 


5.1 
3.5 
1.9 
3.7 
3.4 
3.1 

3.6 
2.4 
3.5 
3.8 
3.2 
2.0 

7.6 
.8 
4.3 
4.1. 
5.3 
4.4 

4.8 
4.8 
1.6 
1.9 
1.1 
2.1 

8.9 
8.6 
5.1 
3.3 
3.1 
3.4 

5.7 
.8 
4.3 
3.7 
3.0 
3.1 


13.8 

11.7 

7.6 

2.8 

6.2 

10.0 

25.1 
10.6 
7.8 
9.1 
6.3 
7.2 

2.5 

.8 

5.6 

.5.5 

5.6 

. 4.0 

8.4 
8.3 
2.7 
4.9 
5.1 
5.6 

5.3 
2.9 
1.9 
4.9 
3.8 
6.8 

6.7 

13.1 

7.3 

8.2 
5.1 
5.7 


63.6 
37.2 
79.1 
29.4 
24.4 
26.8 

60.8 
26.8 
65.0 
17.7 
26.0 
19.7 

74.7 
28.0 
44.2 
30.7 
22.0 
12.7 

16.4 
18.7 
14.9 

8.7 
13.2 

6.6 

125.5 
112.4 
51.0 
46.4 
43.9 
27.8 

57.0 
24.8 
38.8 
27.9 
26.3 
10. 2 


36.6 
15.1 
35.9 
19.7 
10.7 
22.8 

61.5 
48.5 
20.6 

7.7 
15.8 

7.6 

102.5 
22.9 
49.8 
42.2 
29.9 
26.7 

33.7 
21.6 
24.0 
18.8 
12.4 
12.4 

47.8 
75.0 
10.9 
23.2 
17.4 
16.5 

34.3 
24.0 
35.7 
24.7 
26.8 
15.9 


461.9 
453.5 
494.3 
454.6 
351.3 
313.2 

180.2 
371.5 
367.7 
157.8 
167.8 
133.0 

532.2 
447.0 
439.1 
289.8 
222.7 
207.7 

55.3 
278.5 
235.7 
171.7 
202.6 
144.4 

389.9 
450.5 
341.8 
328.3 
296.6 
231.0 

161.2 
286.2 
203.3 
184.5 
107.2 
96.5 


994.9 

979.5 

1, 428. 5 

1, 035. 8 

1, 055. 5 

885.3 

1, 148. 2 
989.1 
926.1 
758.6 
395.4 
278.8 

833.3 
578.5 
779.7 
403.9 
333.3 
293.2 

414.4 
545.1 
361.4 
503. 1 
420.9 
249.7 

1, 194. 2 
936.3 
588.2 
750.5 
688.0 
355.5 

192.4 
405.6 
349.7 
265.4 
176.0 
145.1 


472.5 


GrouD II 


353.8 


GrouD HI -- 


469.2 


Group IV - 


301.8 


GroiiD V 


252.0 


Group VI --- 


222.7 


MICHIGAN 

GrouD I - 


210.6 


Group n - 


247.4 


Group III 


275.2 


GrouD IV -- - 


147.2 


Group V - - 


99.6 


GrouD VI ■ - 


46.3 


NEW JERSEY 

OrouD I - , 


392.2 


Group II - -- 


179.8 


GrouD III 


237.7 


Group IV - - 


18.5. 9 


GrouD V 


76.1 




52.9 


NEW YORK 


210.8 


GrouD II - 


211.6 


Group III -- -- 


177.1 


GroUD IV 


98.9 


OroUD V - -- 


114.9 


Group VI 


50.3 


OHIO 
Groun 1 2 _ 


278.6 




274.4 


GrouD III -- 


111.7 




163.3 


Group V 


139.8 




107.1 


Group I 


163.0 




205.1 


GroupIII 


199.9 


GrouD IV - -- 


139.3 


GrouD V 


82.1 




44.4 







• The rates for larceny— theft and auto theft are based on reports of 2 cities. 
2 The rate for larceny— theft is based on reports of 4 cities. 

Data for Individual Cities. 

Crime data for States and for the entire Nation are essential to 
individuals and organizations studying the problem of crime from the 
viewpoint of a State or of the entire country, and compilations 
designed to present such information are included in this bulletin. 
However, the handling of crime is largely a problem to be solved by 
each individual city and a maximum degree of success will be obtained 



15 

if the public generally is informed concerning the nature and extent of 
the local crime problem. In order to make such data readily available 
to interested individuals and civic organizations, there is presented 
in the follouang table the number of offenses reported by the police 
departments of individual cities with more than 100,000 inhabitants 
during the calendar year 1935. 

It doubtless will be desirable for a local community to make a 
comparison between its figures and the average figures for cities with 
approximately the same population. Such average figures may be 
found in table 1. It is likewise important to consider whether the 
amount of known crime in a given city is increasing or decreasing in 
comparison with prior periods. It is suggested that comparisons 
between the figures of two or more individual cities should be made 
with great caution, because there may be present a large number of 
peculiar local conditions which may cause the crime rate in a com- 
munity to be above or below average. More thought should be given 
to the question whether the amount of known crime approximates a 
satisfactory standard for the individual community, considering 
all of the local factors affecting the problem wliicli may be operative 
in other communities to a greater or lesser degree. It should definitely 
be remembered that on the whole crime is a community problem 
chargeable to the entire community rather than to law-enforcement 
officials only. 

In examining a compilation of crime figures for individual com- 
munities it should be borne in mind that in view of the fact that the 
data are compiled by different record departments operating under 
separate and distinct administrative systems, it is entirely possible 
that there may be variations in the practices employed in classifying 
complaints of offenses. On the other hand, the crime reporting 
manual has been distributed to all contributors of crime reports and 
the figures received are included in this bulletin only if they apparently 
have been compiled in accordance with the provisions of the manual, 
and the individual department has so indicated. 

Table 6. — Number of offenses known to the police, January to December, inclu- 
sive, 1935 



City 



Akron, Ohio.- 

Albany, N. Y 

Baltimore, Md 

Birmingham, Ala.. 

Boston, Mass 

Bridgeport, Conn.. 

Buffalo, N. Y 

Cambridge, Mass.. 

Canton, Ohio 

Chicago, 111 

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

Dallas, Tex 

Dayton, Ohio 

Denver, Colo 

Des Moines, Iowa- 
Detroit, Mich 



Murder, 
nonnegli- 
gent man- 
slaughter 



15 
1 
40 
94 
19 
2 
13 



7 
243 
67 
80 
23 
62 
21 
21 

5 
60 



Rape 



27 

4 
58 

6 
84 

1 
39 

8 

5 

184 

30 

32 

8 
20 

5 
13 

5 
418 



Rob- 
bery 



175 

39 

349 

205 

259 

28 

114 

35 

187 

177 

394 

1,419 

580 

212 

159 

448 

110 

1,013 



10, 



Aggra- 
vated 
assault 



179 

57 

33 

221 

195 

8 

198 

16 

82 

1,785 

317 

242 

216 

456 

159 

84 

8 

1,025 



Bur- 
glary— 
break- 
ing or 
enter- 
ing 



979 

334 

2,039 

1,956 

1,337 

444 

732 

357 

670 

18, 857 

1, 465 
2,966 

2, 296 
1,761 

841 
2,360 

578 
3,003 



Larceny-^theft 



$50 and 
over 



228 
69 
085 
415 
942 
131 
179 
120 

(') 

3,790 
090 
291 

(') 
208 
89 
(') 

40 
811 



Under 
$50 



1, 558 

633 

3, 135 

780 

2,266 

077 

1,464 

481 

801 

13,996 

4,355 

12, 358 

3, 721 

6,893 

2,473 

2,824 

1,564 

18, 319 



Auto 
theft 



328 
245 

2, 591 
726 

3, 979 
357 

1, 151 

383 

267 

6,726 

1,072 

2,704 

960 

1,685 

554 

703 

609 

3,508 



1 Larcenies not separately reported. 
46342°— 36 3 



Figure listed includes both major and minor larcenies. 



16 



Table Q.-^Number of offenses known to the police, January to December, inclu- 
sive, 1935 — Continued 



City 



Duluth, Minn 

Elizabeth, N.J 

El Paso, Tex 

Erie, Pa 

E vansville, Ind 

Fall River, Mass 

Flint, Mich 

Fort Wayne, Ind 

Fort Worth, Tex 

Gary, Ind 

Grand Rapids, Mich_. 

Hartford, Conn 

Houston, Tex 

Indianapolis, Ind 

Jacksonville, Fla 

Kansas City, Kans 

Knox ville, Tenn 

Lonf Beach, Calif 

Los Angeles, Calif 

Louisville, Ky 

Lowell, Mass 

Lynn, 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 

Norfolk, Va 

Oakland, Calif 

Oklahoma City, Okla. 

Omaha, Nebr 

Peoria, HI 

Philadelphia, Pa 

Pittsburgh, Pa 

Portland, Oreg 

Providence, R. I 

Reading, Pa 

Richmond, Va 

Rochester, N. Y 

St. Louis, Mo 

St. Paul, Minn 

Salt Lake City, Utah. 

San Antonio, Tex 

San Diego, Calif 

San Francisco, Calif. . . 

Scranton, Pa 

Seattle, Wash 

Somer ville. Mass 

South Bend, Ind 

Spokane, Wash 

Springfield, Mass 

Syracuse, N. Y 

Tacoma, Wash 

Tampa, Fla 

Toledo, Ohio 

Tulsa, Okla 

Utica, N. Y 

Washington, D. C 

Waterbury, Conn 

Wichita, Kans 

Wilmington, Del 

Worcester, Mass 

Yonkers, N. Y 

Youngstown, Ohio 



Murder, 
nonnegli- 
gent man- 
slaughter 



7 

3 

27 

9 

1 

3 

54 

27 

47 

13 

32 

2 

93 

35 

8 

3 

80 

32 

2 

11 

65 

34 



1 

75 

369 

19 

8 
15 
23 

4 

115 

37 

8 

4 



27 
9 

72 
2 
5 

31 
9 

17 
2 

20 



4 
3 
9 

15 

17 
3 20 

59 
3 
2 
8 
1 
3 

14 



Rape 



1 

4 
10 
20 

9 
24 

2 

9 

2 
12 
17 
17 
22 

1 

4 

1 

18 

269 

11 

2 
10 
16 

2 
30 

5 

17 

11 

459 

8 

12 

628 

5 
36 
11 

1 

12 

137 

41 

12 

2 
32 
43 
10 
100 
13 
18 
18 
19 
13 

7 



1 
3 

29 
5 
2 

16 
7 
5 

21 
2 
1 
2 



11 
4 



Rob- 
bery 



32 
33 

49 

34 

40 

28 

63 

59 

90 

108 

28 

25 

350 

527 

233 

295 

44 

58 

933 

366 

17 

41 

596 

105 

39 

380 

260 

334 

22 

60 

131 

1,184 

159 

189 

275 

168 

62 

455 

1,057 

365 

22 

31 

178 

28 

616 

327 

103 

293 

61 

344 

28 

414 

27 

47 

121 

18 

40 

53 

35 

247 

238 

18 

728 

14 

35 

29 

26 

13 

203 



Aggra- 
vated 
assault 



2 

27 

15 

39 

31 

8 

152 

17 

35 

119 

13 

56 

227 

257 

156 

57 

34 

23 

462 

542 

1 

6 

797 

392 

73 

122 

349 

458 

16 

15 

480 

2,479 

178 

134 

112 

33 

15 

763 

147 

54 

42 

15 

940 

44 

321 

31 

39 

291 

25 

247 

36 

128 

3 

3 

119 

44 

24 

1 

90 

118 

57 

9 

244 

17 

15 

62 

6 

37 

125 



Bur- 
glary— 
break- 
ing or 
enter- 
ing 



275 

527 

472 

464 

343 

443 

732 

413 

973 

372 

531 

861 

1,950 

2,006 

1,015 

820 

469 

1,100 

7,369 

2,370 

191 

613 

1,384 

1,084 

742 

1,731 

615 

2,379 

498 

753 

735 

2,788 

754 

1,435 

1,239 

383 

282 

2,576 

1,699 

2,586 

667 

289 

1,487 

945 

2,001 

1,644 

699 

1,399 

337 

1,847 

319 

3,117 

199 

301 

934 

436 

709 

505 

331 

1,037 

1,094 

377 

2,794 

198 

513 

313 

672 

216 

689 



Larceny — theft 



$50 and 
over 



129 

82 

48 

82 

49 

57 

151 

82 

75 

38 

84 

194 

514 

0) 

618 
0) 
153 
234 
2,551 
554 
23 
127 
(') 
(') 
264 
258 
478 
0) 
76 
166 
316 

(2) 

95 

217 

(') 

65 

57 

915 

602 

667 

105 

103 

492 

124 

(') 
252 
109 
667 
194 

(') 

70 

428 

42 

62 

335 

130 

152 

46 

101 

440 

306 

73 

1,213 

72 

77 

108 

193 

17 

47 



Under 
$50 



947 

600 

945 

398 

998 

374 

1,900 

1,136 

2,484 

414 

1,227 

1,543 

4,059 

6,420 

2,941 

1,027 

448 

1,759 

9,519 

3,353 

249 

916 

352 

581 

4,407 

801 

822 

3,725 

799 

1,259 

906 

(2) 

2,080 

3,214 

2,089 

501 

339 

2,450 

1,134 

4,387 

1,280 

458 

4,189 

2,037 

9,470 

1,863 

1,485 

2,660 

938 

7,441 

408 

3,215 

262 

315 

2,305 

976 

1,562 

935 

596 

(2) 

1,882 
468 

6,074 
272 

2,337 
600 
252 
228 

1,102 



Auto 
theft 



152 
212 
254 
306 
460 
239 
511 
252 
542 
223 
330 
396 

1,523 

1,555 
513 
346 
525 
444 

6,081 

1,125 
143 
237 
620 
574 
786 

2,478 
814 

1,753 
265 
648 
762 

(2) 
369 

1,242 
479 

1,322 
419 

2,130 

2,191 

1,000 
246 
213 
745 
784 

1,854 

1,136 
695 

1,500 
678 

3,573 
249 

1,651 
176 
315 
436 
309 
588 
392 
97 

1,183 
308 
219 

2,666 
325 
157 
243 
600 
191 
519 



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

2 Not reported. 

3 18 of the 20 offenses of murder and nonnegligent manslaughter for the city of Utica were reported as 
resulting from the sale of poison liquor. 

i There were 40 cases of statutory rape reported for a single month. 



17 

Offenses Known to Sheriffs, State Police, and Other Rural Officers, 1935. 

Comprehensive crime data for rural portions of the United States 
are not yet available. However, such data as have been obtained for 
1935 are presented in table 7. As indicated, the compilation is based 
on reports received from 194 sherifl's, 8 State poHce units, and 89 
police agencies in villages (places with less than 2,500 inhabitants). 
A comparison of the percentage distribution of urban and rural 
crimes discloses that proportionately there were fewer cases of 
robbery, auto theft, and larceny reported in the rural sections than 
in urban communities. For the remaining offense classes, however, 
the proportion was higher for rural areas. The percentage distribu- 
tions of urban and rural crimes are presented below: 



Offense 



Total 

Larceny 

Burglary.,. 
Auto theft. 



Percent 


Urban 


Rural 


100.0 


100.0 


52.3 
21.7 
16.9 


50.3 
28.3 
10.7 



O Sense 



Percent 



Robbery 

Assault 

Rape 

M urder 

Negligent manslaughter 




With reference to the fact that the proportion of offenses against 
the person was larger in rural areas than in the urban communities, 
it should be noted that this may partially be due to the failure to 
maintain offense records (as distinguished from arrest records) in all 
rural communities, Tliis means that some of the rural crime reports 
may be incomplete in the sense that they do not include offenses 
known to have been committed, but for which arrests were not made. 
On the other hand, it has been observed that there is an increased 
interest in the development of complete records for rural portions of 
the country. 



Table 7. — Offenses known, January to December 1935, inclusive, as reported by 
194 sheriffs, 8 State police units, and 89 village officers 



Offenses known. 



Criminal 
homicide 


Rape 


Rob- 
bery 


Aggra- 
vated 
assault 


Bur- 
glary— 
break- 
ing or 
enter- 
ing 


Lar- 
ceny- 
theft 


Murder, 
nonneg- 
ligent 
man- 
slaugh- 
ter 


Man- 
slaugh- 
ter by 
negli- 
gence 


274 


235 


701 


1,185 


1,349 


9,944 


17, 670 



Auto 
theft 



3,753 



Offenses Known in the Possessions of tlie United States. 

In table 8 there are shown available data concerning the number of 
offenses known to law enforcement agencies in the possessions of 
the United States. The tabulation includes reports from Hawaii 
County, Honolulu (city and county), Territory of Hawaii; the Canal 
Zone; and Puerto Rico. The figures are based on both urban and 
rural areas and the population figures from the 1930 decennial census 
are indicated in the table. 



18 

With reference to the figures presented for the Canal Zone, it 
should be noted that the Federal Bureau of Investigation has been 
advised that less than one-third of the persons arrested for offenses 
committed in the Canal Zone are residents thereof. It appears, 
therefore, that a large proportion of the crime committed in the Canal 
Zone is attributable to transients and other nonresidents. 



Table 8. — Offenses known in United States possessions, January to December 1935 
[Population figures from Federal Census, Apr. 1, 1930] 





Criminal 
homicide 


Rape 


Rob- 
bery 


Aggra- 
vated 
assault 


Bur- 
glary— 
break- 
ing or 
enter- 
ing 


Larceny- 
theft 




Jurisdiction reporting 


Murder, 
nonneg- 
ligent 
man- 
slaugh- 
ter 


Man- 
slaugh- 
ter by 
negli- 
gence 


Over 
$50 


Under 
$50 


Auto 
theft 


Hawaii: 

Hawaii County, popula- 
tion, 73,325; number of 
offenses known.. ... 


3 

16 

1 

290 


4 

16 

1 

111 


9 

15 

3 

54 


1 
20 
12 
49 


22 

47 

11 

2,000 


34 
958 
100 
710 


5 

117 

20 

74 


134 
2,116 

250 
4,567 


11 


Honolulu, city and county, 
population, 202,923; num- 
ber of ofTenses known 

Isthmus of Panama: Canal 
Zone, population, 39,467; 

number of offenses known 

Puerto Rico: Population, 
1,543,913; number of offenses 
known 


261 
35 
74 







Data from Supplementary Offense Reports. 

In order to comply with suggestions received from police adminis- 
trators the FBI has collected since January 1935, a supplementary 
report of known offenses containing more detailed information as 
to the nature of the crimes committed. During 1935 the distribution 
of tills report form was restricted to the police departments of cities 
with more than 100,000 inhabitants. The nature of the information 
provided by this form is indicated in tables 9, 9 A, and 9B, which are 
based on reports received from the police departments of 23 cities 
with a combined population of 8,634,497. Reports were received 
from a much larger number of police departments, but the following 
compilations have been limited to the data which were apparently 
complete and correct with reference to the items appearing in the 
tables. 

The robbery figures included in table 9 disclosed that 54.7 percent 
of such crimes were committed on the city liighways and 39.5 percent 
were robberies of commercial establishments. In only 2.8 percent of 
the cases were the robberies committed in private residences. 

The compilation with reference to burglaries indicates that slightly 
less than half of them were committed in private residences. With 
reference to the time of day the burglaries were perpetrated, it is 
shown that 78 percent of the total reported by the 23 cities occurred 
at night. However, it will be observed that 36.2 percent of the 
burglaries of residences occurred during the day, whereas only 8.5 
percent of such crimes committed in other places occurred in the 
daytime. 



19 



Figures for larceny disclose that of a total of 62,851 offenses, there 
were 17,551 in which the value of the property stolen was less than $5. 
Furthermore, table 9 shows with reference to the type of offense com- 
mitted that 794 were cases of pocket-picking and 2,736 were instances 
of purse-snatching. 

Table 9. — 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 to 
December, inclusive, 1935; 23 cities over 100,000 



[Total population, 8,634,497, as 


estimated July 1, 1933, by the Bureau of the Census] 




Classification 


Number 
of actual 
offenses 


Classification 


Number 
ofactual 
offenses 


Rape: 

Forcible 


315 
280 


Larceny— theft (except auto theft) 
(grouped according to value of article 
stolen) : 
Over $50 




Statutory. . 






7,537 


Total 


595 


$5 to $50 . • 


37, 763 




Tinder $5 


17, 551 


Robbery: 

Highway 


6,675 

3,665 

1,033 

117 

343 

5 

357 


Total - 


62, 851 


OnTnmpm'jil hmmfl 


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




Oil Station 




Chain store 




Residence . 


794 


Bank 


Purse-snatching 


2,736 


Miscellaneous 


All other - - - . .- 


59, 321 




Total.. 




Total. 


12, 195 


62, 851 








Burglary— breaking or entering; 
Residence (dwelling): 

Committed during night 


11, 251 
6,377 

16, 809 
1,557 




Committed during day 




All other (store, office, etc.): 

Committed during night 

Omnmit.tfid during dny 








Total 


35, 994 









The figures presented in table 9A show that there were 20,492 
automobiles reported stolen during 1935 by the police departments 
of the 23 cities represented. Stolen automobiles recovered during 
the year numbered 19,333, which is 94.3 percent of the number stolen. 

Table 9-A. — Recoveries of stolen automobiles, January to December, inclusive, 1935; 

23 cities over 100,000 

[Total population of 8,634,497, as estimated July 1, 1933, by the Bureau of the Census] 

Number of automobiles stolen 20, 492 

Number of automobiles recovered 19, 333 

Percentage recovered - 94. 3 

Table 9B includes information regarding the value of property 
stolen and the value of property recovered during 1935 with sub- 
divisions as to the type of property involved. The total value of 
property reported stolen was $12,019,549.98 and of that amount 56.5 
percent ($6,787,740.14) was recovered. The value of stolen auto- 
mobiles constitutes 49.7 percent of the total value of all property 
stolen, as reported for the 23 cities. Exclusive of automobiles, the 
value of property stolen was $6,040,577.50, whereas the value of 
property recovered was $1,105,977.61. 



20 



Table 9-B. — Value of property stolen and value of property recovered with divisions 
as to type of property involved, January to December, inclusive, 1935; 23 cities 
over 100,000 

[Total population of 8,634,497, as estimated July 1, 1933, by the Bureau of the Census] 



Type of property 



Currency, notes, etc 

Jewelry and precious metals 

Furs 

Clothing 

Locally stolen automobiles.. 
Miscellaneous 

Total 



Value of prop- 
erty stolen 



$1, 751, 109. 02 

1,614,752.31 

214, 927. 05 

770, 412. 52 

5, 978, 972. 48 

1, 689, 376. 60 



12, 019, 549. 98 



Value of prop- 
erty recovered 



$189, 675. 22 

363, 197. 69 

12, 608. 90 

116, 338. 26 

6, 681, 762. 53 

424, 157. 54 



6, 787, 740. 14 



Relation Between Average Crime Rates and Average Number of Police 
Employees. 

In table 10 there appears a compilation showing the relation between 
average crime rates and the average number of police employees. 
The figures are based on data received for 1934 from the police depart- 
ments of cities with more than 100,000 inliabitants. Generally speak- 
ing, the tabulation shows that the cities having the larger number of 
police employees per 1,000 inhabitants have the lower crime rates. 

The figures presented in the following table represent the averages 
of the individual rates (both crime rates and police personnel rates) for 
the several cities. 

The number of police employees per 1,000 inhabitants for cities 
represented in table 10 ranges from 3.3 to 0.7. Complete data regard- 
ing the number of police employees for the larger cities for the year 
1934 may be found on page 15 of the issue of this bulletin for the first 
quarter of 1935. 



Table 10. — Relation between average crime rates and average number of police 
employees, cities with more than 100,000 inhabitants, 1934 





Average 
number of 
police em- 
ployees per 

1,000 in- 
habitants 


Average number of oflenses per 100,000 inhabitants 


Group 


Murder, 
nonnegli- 
gent man- 
slaughter 


Robbery 


Aggra- 
vated 
assault 


Bur- 
glary- 
breaking 
or enter- 
ing 


Larceny— theft 






Over $50 


Under $50 


Auto 
theft 


I 


2.4 
1.7 
1.3 
1.0 
2.1 
1.1 


4.0 

9.1 

10.2 

10.6 

6.4 

10.4 


46.4 
92.1 
96.6 

105.7 
67.7 

10L2 


37.6 
82.5 
46.9 
83.9 
58.5 
65.8 


318.2 
451.5 
480.5 
557.9 
380.4 
520.0 


89.6 

91.3 

113.4 

103.9 

90.4 

109.0 


553.4 
661.5 
844.3 
1, 076. 6 
604.6 
957.6 


310.2 


II.. 


331.7 


Ill 


404.1 


IV.. 


381.8 


I-II... ...., 


320.5 


III-IV. 


392.7 







All cities represented in the above tabulations have populations in excess of 100,000. The arrangement 
Into groups was based on the number of police employees per 1,000 inhabitants (descending order) . 

Group I consists of 24 cities. 
Group II consists of 21 cities. 
Group III consists of 23 cities. 
Group IV consists of 24 cities. 

The number of cities varies slightly among the groups, because it was believed desirable that departments 
having identical police personnel figures be allocated to the same group. 



21 

Offenses of Robbery and Burglary, 1930-35. 

In table 11 there are presented figures showing monthly trends in 
the number of offenses of robbery reported for the years 1930 to 1935. 
Similar data for offenses of burglary are shown in table 11 A. Both 
compilations are based on the reports received from the police depart- 
ments of 541 cities with a combined population of 31,162,307. 

The robbery compilation shows a very distinct seasonal fluctuation 
with the high points in the first and fourth quarters of the year. 
This variation is noticeable in the figures for each of the 6 years 
covered by the table. For burglary there are similar seasonal varia- 
tions, but the extent of the fluctuation is considerably less, and like- 
wise the variation from month to month is less regular. 

For both robbery and burglary tlie average figures for the entire 
year rise until they reach a high point in 1932, and since that time there 
has been a rather regular downward trend. The decrease in the num- 
ber of robberies since 1932 has been quite substantial, but the decrease 
in burglaries has been less marked. With reference to the large in- 
crease in the number of offenses from 1930 to 1931, it should be noted 
that the compilation of national police statistics was initiated in 1930. 
It is possible that due to inadequate records the figures for 1930 are 
somewhat incomplete. In other words a portion of the increase shown 
during 1931 may be the result of the maintenance of more complete 
records during that year. 

A comparison of the robbery figures for 1935 with those for prior 
years suggests the possibility that there will be a further decrease in 
the number of robberies reported during 1936. In a general way the 
same is true with reference to the burglary figures, although the trend 
in that direction is less noticeable. 

The data included in tables 11 and llA are graphically presented in 
the accompanying charts. 



22 




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26 

DATA COMPILED FROM FINGERPRINT RECORDS 

During the calendar year 1935 the FBI examined 392,251 arrest 
records, as disclosed by fingerprint cards received from law enforce- 
ment officials throughout the United States, and obtained considerable 
significant information regarding the age, sex, race, and previous 
criminal history of the individuals represented. The compilation has 
been Hmited 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 
penal institutions have been excluded from tliis tabulation. 

The tabulation of data from fingerprint records 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 ofi'enses 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 offenses. 

During the year there were 6,849 persons arrested and charged 
with criminal homicide. In addition, the following serious offenses 
were among those charged: Robbery, 13,290; assault, 25,887; bur- 
glary, 32,649; larceny, 53,863; auto theft, 11,004; embezzlement and 
fraud, 10,812; weapons (carrying, possessing, etc.), 5,699. The com- 
pilation discloses that 49,007 persons were arrested on suspicion, 
28,576 for vagrancy, 41,546 because of drunkenness, and 16,680 for 
disorderly conduct. In addition, 6,687 were arrested because of vio- 
lation of traffic and motor vehicle regulations. This makes a total 
of 142,496 cases in which the charges were minor in character. The 
remaining 249,755 cases represent instances in which the persons 
arrested were charged with substantial offenses against the person, 
property, or society. 

Females were represented by 27,227 (6.9 percent) of the records 
examined. They were most frequently arrested on the following 
charges: Larceny, 4,448; prostitution and commerciahzed vice, 3,026; 
assault, 2,073; vagrancy, 2,106; disorderly conduct, 2,056; drunken- 
ness, 1,982. In addition, 679 females were charged with criminal 
homicide and 607 with robbery. 



27 



Table 12. — Distribution of arrests, by sex, Jan. 1-Dec. SI, 1935 



Offense charged 



Criminal homicide 

Bobbery 

Assault 

Burglary — breaking or entering 

Larceny — theft. 

Auto theft 

Embezzlement and fraud.- 

Stolen property; buying, receiving, possessing 

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 trafDc and motor vehicle laws 

Disorderly conduct... 

Drunkenness 

Vagrancy 

Gambling 

Suspicion 

Not stated 

All other offenses 

Total 



Number 



Total Male Female 



6,849 

13, 290 

25, 887 

32, 649 

53,863 

11,004 

10,812 

3,776 

5,569 

4,631 

4,502 

5,176 

3,679 

6,699 

3,860 

10, 200 

11,044 

2,253 

10 

4,424 

16, 680 

41, 546 

28, 576 

4,767 

49,007 

5,424 

27, 074 



392, 251 



6,170 

12, 683 

23, 814 

32, 104 

49,415 

10,813 

10,213 

3,457 

5, 159 

4,631 

1,476 

4.529 

3,181 

5,534 

3,728 

9,218 

10, 797 

2,217 

10 

4,345 

14, 624 

39, 564 

26, 470 

4,627 

45, 408 

5,031 

25, 806 



365, 024 



Percent 



679 
607 

,073 
545 

,448 
191 
599 
319 
410 



,026 

647 
498 
165 
132 
982 
247 
36 



79 
2,056 
1,982 
2,106 

140 
3,599 

393 
1,268 



27, 227 



Total 



1.7 
3.4 
6.6 
8.3 

13.7 
2.8 
2.8 
1.0 
1.4 
1.2 
1.1 
1.3 
.9 
1.5 
1.0 
2.6 
2.8 
.6 

(') 
1. 1 
4.3 

10.6 
7.3 
1.2 

12.5 
1.4 
6.9 



100.0 



Male Female 



1.7 
3.5 
6.5 
8.8 

13.5 

3.0 

2.8 

.9 

1.4 

1.3 

.4 

1.2 

.9 

1.5 

1.0 

2.5 

3.0 

.6 

(') 
1.2 
4.0 

10.8 
7.3 
1.3 

12.4 
1.4 
7.1 



100.0 



2.5 

2.2 

7.6 

2.0 

16.3 

.7 

2.2 

1.2 

1.5 

.0 

11. 1 

2.4 

1.8 

.6 

.5 

3.6 

.9 

. 1 

.0 

.3 

7.6 

7.3 

7.7 

.5 

13.2 

1.5 

4.7 



100.0 



• Less than Ho of 1 percent. 

Examination of the persons arrested, distributed according to age 
groups, indicates a rapid increase from age 15 to age 19, the figures 
being as follows: 

. Number 

Age: arrested 

15 2,208 

16 6,950 

17 11,927 

18 17,071 

19 18,421 

For ages from 20 to 24 the number arrested for a single group varies 
from 16,405 to 18,306. The compilation discloses there were 58,766 
(15 percent) under 20 years of age, 86,377 (22 percent) between the 
ages of 20 and 24, and 70,500 (18 percent) between 25 and 29 years 
of age. This makes a total of 215,643 (55 percent) less than 30 years 
old. (With reference to the ages of persons represented by finger- 
print cards received at the F B I, it should be observed that the num- 
ber of arrest records is doubtless incomplete in the lower age groups 
because in some jurisdictions the practice is not to fingerprint youthful 
individuals.) 



28 



NUMBER OF PERSONS ARRESTED 
AGES 16 TO 24 



DATA COMPILED FROM FINGERPRINT CARDS 
JANUARY 1 - DECEMBER 31, 1935. 




6,950 
1 1,927 
1 7,071 
I 8,421 
16,4 05 
I 8,306 
I 8,090 
I 7,2 12 
I 6,364 



Figure 7. 

As has been indicated by the preceding figures, the number of 19- 
year-old persons arrested exceeded the number for any other single 
age group. A large proportion of them were charged with major 
crimes, as indicated by the following figures: 

Criminal homicide 222 

Robbery 952 

Assault 710 

Burglary 2,511 

Larceny 3, 253 

Auto theft 1, 126 

Weapons (carrying, etc) _ 209 



29 



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30 

There were 75,171 arrests of persons under 21 years of age, which 
constitutes 19.2 percent of the total of 392,251 records examined. 
Individuals less than 25 years old represented in this tabulation num- 
bered 145,143 (37 percent). Youthful individuals were most fre- 
quently charged with the following offenses against property: Rob- 
bery, burglary, larceny, and auto theft. Whereas persons under 25 
years of age constituted 37 percent of the total arrested, they num- 
bered 45.8 percent of those charged with larceny, 53.5 percent of 
those charged with robbery, 59.1 percent of those charged with bur- 
glary, and 68 percent of those charged with auto theft. 



Table 14. — Number and percentage of arrests of persons under 25 years of age, 

male and female, Jan. 1-Dec. 31, 1935 



Offense charged 



Criminal homicide. 

Robbery 

Assault 

Burglary— breaking or entering 

Larceny — theft 

Autotheft 

Embezzlement and fraud 

Stolen property; buying, receiving, pos- 
sessing 

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 

Total 



Total 

number of 

persons 

arrested 



6,849 
13, 290 
25, 887 
32, 649 
53, 863 
11,004 
10,812 

3,776 

5,569 

4,631 

4,502 

5,176 

3,679 

5, 699 

3,860 

10,200 

11,044 

2,253 

10 

4,424 

16, 680 

41,546 

28, 576 

4,767 

49, 007 

5,424 

27, 074 



392, 251 



Number 

under 21 

years of 

age 



788 

3,494 

2,655 

12, 760 

14, 657 

5,046 

681 

690 

800 

1,144 

439 

705 

165 

854 

135 

631 

543 

335 

2 

801 

2,560 

2,235 

5,438 

347 

9,421 

941 

6,904 



75, 171 



Total 

number 

under 25 

years of 

age 



1,942 

7,108 
6,900 
19, 290 
24, 685 
7,488 
1,877 

1,280 
1,736 
2,191 
1, 582 
1,520 

630 
1,899 

600 
1,916 
1,986 

923 

2 

1,766 

5,546 

6,792 

10, 943 

972 

19,219 

1,930 

12, 360 



145, 143 



Percentage 
under 21 
years of 



11.5 
26.3 
10.3 
39.1 
27.2 
45.9 
6.3 

18.3 
14.4 
24.7 

9.8 
13.6 

4.5 
15.0 

3.5 

6.2 

4.9 
14.9 
20.0 
18.1 
15.3 

5.4 
19.0 

7.3 
19.2 
17.3 
25.5 



19.2 



Total 

percentage 

imder 25 

years of 



28.4 
63.5 
26.7 
59.1 
45.8 
68.0 
17.4 

33.9 
31.2 
47.3 
35.1 
29.4 
17.1 
33.3 
17.1 
18.8 
18.0 
41.0 
20.0 
39.9 
33.2 
16.3 
38.3 
20.4 
39.2 
35.6 
45.7 



37.0 



The age distribution of males arrested was substantially the same 
as that for all persons represented in the compilation. However, for 
females it appears the largest number of arrests occm-red at age 22. 
There is a smaller proportion of females under 20 years of age, with 
corresponding increases in the proportions between the ages of 20 
and 24, and 25 and 29. The percentages are 13.8, 29, and 22.1, 
respectively. Tliis makes a total of 64.9 percent of the females 
arrested who were less than 30 years of age, as compared with 55 
percent for all persons represented in this compilation. 



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Criminal homicide 

Robbery 

Assault 

Burglary— breaking or entering 

Larceny— theft 

Auto theft 

Embezzlement and fraud . . 

stolen property; buying, receiving, 

possessing 

Forgery and counterfeiting 


Prostitution and commercialized vice. 

Other sex offenses 

Narcotic drug laws 

Weapons; carrying, possessing, etc 

Offenses against family and children. 

Liquor laws... 

Driving while intoxicated 

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Disorderly conduct.. 

Drunkenness .. 

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Gambling 

Suspicion 

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"3 
o 



33 

More than 36 percent (142,674) of the persons whose arrest records 
were examined during the year had previous fingerprint cards on file 
in the Identification Division of the FBI. In addition, there were 
7,985 cases in which the current arrest records bore notations indi- 
cating that the persons had been previously arrested, making a total 
of 150,659 cases in which there was available some information regard- 
ing the previous criminal histories of the persons involved. In 
101,015 cases the records disclosed previous convictions (males, 
97,217; females, 3,798). Tliis constitutes 67 percent of the records 
containing any information regarding prior criminal histories and 
25.8 percent of the total arrest records examined during the year. A 
large proportion of the convictions were for major offenses, as is 
indicated by the following figures: 

Criminal homicide 1, 007 

Robbery 4,626 

Assault 5, 436 

Burglary 1 3, 094 

Larceny 20, 223 

Auto theft 3, 634 

Embezzlement and fraud 3, 068 

Stolen property (receiving, etc.) 635 

Forgery and counterfeiting 3, 329 

Rape 715 

Drug laws 2, 465 

Weapons (carrying, etc.) 1, 412 

Driving while intoxicated 1, 376 

Total 61,020 

In many instances the individuals whose records disclosed previous 
convictions were currently charged with serious crimes. To illustrate, 
the following charges were currently placed against the 1 .007 persons 
previously convicted of criminal homicide: 

Criminal homicide 30 

Robbery • 53 

Assault 121 

Burglary 61 

Larceny (and related offenses) 136 

Forgery and counterfeiting 11 

Rape 12 

Drug laws 7 

Weapons (carrying, etc.) 29 

Driving while intoxicated 18 

Total 478 



34 

Complete data as to the current charges placed against individuals 
with previous convictions may be found in the following tabulations. 

Of the 27,227 females arrested, only 21.4 percent had previous 
fingerprint cards on file, as compared with 36.4 percent for all persons 
involved in the compilation. Similarly, females numbered only 3.8 
percent of the 101,015 previous convictions found in the records, 
although they constituted 6.9 percent of the total persons wdiose 
arrest records were examined during the year. 

Table 17. — Number with previous fingerprint records, arrests, Jan. 1-Dec. SI, 19S5 



Offense charged 



Criminal homicide 

Robbery 

Assault 

Burglary — breaking or entering 

Larceny — theft 

Auto theft 

Embezzlement and fraud 

Stolen property; buying, receiving, 

possessing 

Forgery and counterfeiting 

Rape 

Prostitution and commercialized 

vice 

Other sex offenses 

Narcotic drug laws 

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

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 

Total 



Total 



Number 
arrested 



6,849 
13, 290 
25, 887 
32,649 
53, 863 
11,004 
10,812 

3,776 
5,569 
4,631 

4,502 
5,176 
3,679 
5,699 

3,860 
10,200 
11,044 

2,253 
10 

4,424 
16, 680 
41, 546 
28,576 

4,767 
49,007 

5,424 
27, 074 



392, 251 



Number 
with previ- 
ous finger- 
print record 



1,392 
6,093 
7,818 

12, 085 
19, 506 

3,849 
4,542 

1,035 
2,345 
1,046 

1,636 
1,280 
2,210 
1,664 

954 
2,853 
2,307 

509 
2 

1,295 

5,849 

17, 193 

13, 705 
1,177 

19, 196 
1,889 
9,244 



142, 674 



Male 



Number 
arrested 



6,170 
12, 683 
23,814 
32, 104 
49,415 
10,813 
10, 213 

3,457 
5,159 
4,631 

1,476 
4,529 
3,181 
5,534 

3,728 

9,218 

10, 797 

2,217 

10 

4,345 
14, 624 
39, 564 
26, 470 

4,627 
45, 408 

5,031 
25, 806 



365, 024 



Number 
with previ- 
ous finger- 
print record 



1,331 

5,912 
7,518 
11,996 
18, 634 
3,816 
4,411 

1,003 
2,271 
1,046 

578 
1,150 
2,041 
1,646 

940 
2,714 
2,275 

504 
2 

1,285 

5,440 

16, 609 

13, 134 

1,159 

18, 540 

1,831 

9,064 



136, 850 



Female 



Number 
arrested 



679 
607 

2,073 
545 

4,448 
191 
599 

319 

410 



3,026 
647 
498 
165 

132 

982 

247 

36 



79 
2,056 
1,982 
2,106 

140 
3,599 

393 
1,268 



27, 227 



Number 
with previ- 
ous finger- 
print record 



61 
181 
300 

89 
872 

33 
131 

32 

74 



,058 

130- 

169 

18 

14 

139 

32 

5 



10 
409 
584 
571 

18 
656 

58 
180 



5, 824 



35 

Table 18. — Percentage with previous fingerprint records, arrests, male and female, 

Jan. 1-Dec. 31, 1935 



Offense 



Narcotic drug laws - 

Vagrancy 

Robbery... 

Forgery and counterfeiting 

Embezzlement and fraud 

Drunkenness 

Suspicion. 

Burglary— breaking or entering 

Prostitution and commercialized vice 

Larceny— theft. 

Disorderly conduct 

Auto theft 

All other offenses 

Assault 



Percent 


60.1 


48.0 


45.8 


42.1 


42.0 


41.4 


39.2 


37.0 


36.3 


36.2 


35.1 


35.0 


34.1 


30.2 



Offense 



Other traffic and motor vehicle laws 

Weapons; carrying, possessing, etc 

Liquor laws. 

Stolen property; buying, receiving, pos 

sessing 

Other sex offenses... 

Offenses against family and children 

Gambling... 

Rape 

Road and driving laws 

Driving while into.xicated 

Murder 

Parking violations • 



Percent 



29.3 
29.2 
28.0 

27.4 
24.7 
24.7 
24.7 
22.6 
22.6 
20.9 
20.3 
20.0 



1 Only 10 fingerprint cards were received representing arrests for violation of parking regulations. 



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42 

Whites were represented by 284,236 of the arrest records examined 
during the year and Negroes by 91,171. The remaining races were 
represented as follows: Indian, 1,699; Chinese, 971; Japanese, 164; 
Mexican, 11,820; all others 2,190. For comparative purposes, it is 
believed best to present the number of persons arrested of each race 
group in proportion to the number in the general population of the 
country, and in the attached tables there is presented in such terms the 
number of native whites, foreign-born wliites, and Negroes arrested. 
The compilation shows that of each 100,000 foreign-born whites in 
the general population of the country, 194.7 were arrested during the 
year. The corresponding figure for native whites is 382.6, and for 
Negroes is 1,133.8. It will be observed that the proportionate num- 
ber of native whites arrested is 97 percent greater than that for 
foreign-born whites. Smiilarly, the number of Negroes is almost 
three times as great as the number of native wliites. It should be 
observed in connection with the foregoing data that the figure for 
native whites includes the immediate descendants of foreign-born 
individuals. 

Table 22. — Distribution of arrests according to race, male and female, Jan. 1-Dec. 

SI, 1935 



Offense charged 



Criminal homicide 

Robbery 

Assault 

Burglary — breaking or entering 

Larceny— theft-.- 

Auto theft 

Embezzlement and fraud 

Stolen property; buying, receiving, possess- 
ing 

Forgery and counterfeiting 

Rape 

Prostitution and commercialized vice 

Other sex oflenses 

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 oflenses 

Total 



Race 



White 



4,249 

9,539 

14, 280 

23,542 

37, 375 

9,248 

9,523 

2,848 

4,925 

3,432 

3,248 

4,220 

2,178 

3,191 

3,310 

6,497 

9,611 

1,541 

7 

3,244 

11,390 

32, 732 

21, 128 

2,770 

35, 335 

4,227 

20, 646 



284,236 



Negro 



2,337 
3,195 

10, 350 
8,037 

14,606 
1,410 
1,155 

833 

519 

917 

1,142 

798 

496 

2,151 

417 

3,458 

739 

564 

2 

891 

4,406 

6,058 

5,903 

1,824 

12, 269 

1,003 

5,691 



91,171 



In- 
dian 



31 
29 

110 
88 

170 
40 
31 

3 

28 
31 
19 
15 
8 
15 
12 
48 
81 
10 



20 

130 

357 

133 

3 

173 

34 

80 



1, 699 



Chi- 
nese 



7 
13 
31 
12 
15 
3 
9 



4 
7 
48 
60 
18 
12 
56 



971 



Jap- 
anese 



15 
5 

13 
2 



8 




6 


5 


5 


6 


7 




12 


2 


581 


15 


37 


4 




1 


11 


1 




17 


1 


3 



7 

4 

13 

13 

2 

6 

3 

11 



164 



Mex- 
ican 



171 
310 
811 
793 
1,506 
258 
60 

68 

65 

198 

61 

94 

307 

175 

109 

169 

557 

115 



214 
654 
285 
192 
88 
979 
120 
461 



11,820 



All 
others 



46 
204 
290 
172 
178 
43 
26 

16 
21 
42 
25 
35 
94 

126 
11 
16 
39 
19 
1 
40 
92 
94 

159 
20 

227 
25 

129 



2, 190 



Total 

all 
races 



6,849 
13, 290 
25, 887 
32, 649 
53, 863 
1 1, 004 
10, 812 

3,776 

5,569 

4,631 

4,502 

5,176 

3,679 

5,699 

3,860 

10, 200 

11,044 

2,253 

10 

4,424 

16, 680 

41, 546 

28, 576 

4,767 

49, 007 

5,424 

27, 074 



392, 251 



43 

Table 23. — N'umber of arrests of Negroes and whites in proportion to the number of 
each in the general population of the country, male and female, Jan. 1-Dec. 31, 
1935 

[Rate per 100,000 of population, excluding those under 15 years of age] 



Offense charged 



Criminal homicide - 

Robbery 

Assault -. 

Burglary— breaking or entering. 

Larceny — theft - 

Auto theft 

Embezzlement and fraud 

Stolen property; buying, receiving, possessing 

Forgery and counterfeiting 

Rai)e 

Prostitution and commercialized vice 

Other sex offenses 

Narcotic drug laws 

Weapons; carrying, possessing, etc 

Off enses 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 

Total 



Native 
white 



5.1 

12.9 

16.5 

33.0 

51.3 

13.3 

12.9 

3.4 

6.7 

4.4 

4.6 

5.3 

3.0 

3.9 

4.3 

7.6 

13.3 

2.2 



(0 



4.4 
15.0 
45.4 
29.8 

3.5 
47.0 

5.7 
28.1 



332.6 



Foreign- 
born white 



5.3 
3.6 

22.9 
8.4 

21.6 
2.1 
7.1 
4.4 
2.6 
2.7 
1.8 
4.9 
1.0 
4.0 
3.3 

D.O 
5.7 
0.9 
0.0 
2.0 

10.8 

20.4 
9.8 
3.4 

17.6 
2.9 

14.5 



194.7 



Negro 



(>) 



29.1 

39.7 

128.7 

100.0 

181.6 

17.5 

14.4 

10.4 

6.5 

11.4 

14.2 

9.9 

6.2 

26.8 

5.2 

43.0 

9.2 

7.0 

U.l 
54.8 
75.3 
73.4 
22.7 
152.6 
12.5 
70.8 



1,133.8 



' Less than Mo of 1 percent. 
Table 24. — Distribution of arrests according to race, m,ale, Jan. 1-Dec. 31, 1935 



Offense charged 



Criminal homicide 

Robbery -_. 

Assault 

Burglary— breaking or entering 

Larceny — theft 

Auto theft 

Embezzlement and fraud 

Stolen property; buying, receiving, possess 

ing 

Forgery and counterfeiting ., 

Rape 

Prostitution and commercialized vice 

Other sex olTenses 

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 

Total 







Race 








White 


Negro 


In- . 
dian 


Chi- 
nese 


Jap- 
anese 


Mex- 
ican 


All 
others 


3, 992 


1,927 


28 


7 


7 


163 


46 


9,162 


2,978 


26 


13 




304 


200 


13, 793 


8,790 


103 


31 


i4 


794 


289 


23, 193 


7,855 


87 


12 


5 


780 


172 


34,760 


12, 862 


163 


15 


12 


1,437 


166 


9,088 


1,382 


38 


3 


2 


257 


43 


9,063 


1,025 


29 


8 


8 


58 


22 


2,673 


696 


3 


8 




61 


16 


4,587 


449 


28 


6 


5 


63 


21 


3,432 


917 


31 


5 


6 


198 


42 


1,097 


318 


5 


6 




30 


20 


3,766 


613 


12 


12 


2 


89 


35 


1,796 


406 


6 


576 


13 


290 


94 


3, 137 


2,043 


15 


37 


4 


173 


125 


3, 196 


400 


11 




1 


109 


11 


6,001 


2,983 


46 


11 




159 


15 


9,380 


728 


79 




17 


556 


37 


1,515 


555 


9 


i 


3 


115 


19 


7 
3,183 


2 

874 










1 
40 


20 


8 


7 


213 


10, 240 


3, 536 


115 


4 


4 


637 


88 


31,495 


5.381 


335 


6 


13 


2,245 


89 


ly, 614 


5,396 


113 


48 


13 


1,142 


144 


2,691 


1,764 


3 


60 


2 


88 


19 


32, 801 


11,271 


157 


18 


5 


957 


199 


3,933 


913 


30 


12 


3 


117 


23 


19. 691 


5,401 


76 


56 


11 


442 


129 


267, 289 


81, 465 


1,568 


963 


157 


11,477 


2,105 



Total 

all 
races 



6,170 

12,683 
23, 814 
32, 104 
49, 415 
10, 813 
10, 213 

3,457 

5, 159 

4, 631 

1,476 

4,529 

3,181 

5,534 

3,728 

9,218 

10, 797 

2,217 

10 

4,345 

14, 624 

39, 564 

26, 470 

4, 627 

45,408 

5,031 

25,806 



365, 024 



44 

Table 25. — Distribution of arrests according to race, female, Jan. 1-Dec. SI, 1935 



Offense charged 



Criminal homicide 

Robbery 

Assault 

Burglary— breaking or entering 

Larceny— theft 

Autotheft 

Embezzlement and fraud 

Stolen property; buying, receiving, possess- 
ing. 



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 



Total - 



Race 



White 



257 
377 

487 
349 
2, 6! 5 
160 
460 

175 
338 



,151 
454 
382 

54 
114 
493 
231 

26 



61 

1, 150 

1.237 

1,514 

79 

2, 534 

294 

955 



16,947 



Negro 



410 

217 

1,560 

182 

1,744 

2S 

130 

137 
70 



824 
185 

90 
108 

17 
475 

11 
9 



17 
870 
677 
507 

60 
998 

90 
290 



9,706 



Indian 



14 
3 
2 



15 
22 
20 



16 
4 
4 



131 



Chi- 
nese 



Jap- 
anese 



Mex- 
ican 



8 

6 

17 

13 

69 

1 

2 

7 
2 



31 
5 

17 
2 



10 
1 



1 

17 
40 
50 



22 

3 

19 



343 



All 
others 



12 
""4" 



4 

5 
15 

1 
28 

2 



85 



Total 

all 
races 



679 

607 

2,073 

545 

4,448 

191 

599 



319 

410 



3,026 

647 

498 

165 

132 

982 

247 

36 



79 

2,056 

1,982 

2,106 

140 

3,599 

393 

1,268 



27,227 



At the end of December 1935 there were 5,537,561 fingerprint 
records and 6,673,167 index cards containing names or aliases of 
individuals with records on file in the F B I at Washington. Of each 
100 fingerprint cards received during 1935, more than 49 were identi- 
fied with data in the files of the Bureau. During the same period 
5,186 fugitives from justice were identified tlirough fingerprint 
records and information as to the whereabouts of those fugitives was 
immediately transmitted to the law enforcement officers or agencies 
desiring to apprehend them. 

The number of police departments, peace officers, and law enforce- 
ment agencies tliroughout the United States and foreign countries 
voluntarily contributing fingerprints to the F B I at the end of 
December totaled 9,085. 

o 



■^ 93^-3. ^A 



UNIFORM 
CRIME REPORTS 

FOR THE UNITED STATES 
AND ITS POSSESSIONS 



Volume VII— Number 1 
FIRST QUARTERLY BULLETIN, 1936 



Issued by the 

Federal Bureau of Investigation 

United States Department of Justice 

Washington, D. C. 




UNITED STATES 

GOVERNMENT PRINTING OFFICE 

WASHINGTON : 1936 



M ? SUFERINTENDtNT OF DOCUMENTS 

MAY 26 1936 



ADVISORY 
COMMITTEE ON UNIFORM CRIME RECORDS 

OF THE 

INTERNATIONAL ASSOCIATION OF CHIEFS OF POLICE 



i 

(II) ^ 



BOSTON PUBLIC LIBRARY 



3 9999 06351 989 4 



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7^1 






m