UNIFORM
CRIME
REPORTS
FOR THE UNITED STATES
AND ITS POSSESSIONS
ISSUED BY THE
FEDERAL BUREAU OF INVESTIGATION
UNITED STATES DEPARTMENT OF JUSTICE
WASHINGTON, D. C
11 »
Volume XXI
Number 1
SEMIANNUAL BULLETIN
1950
UNIFORM
CRIME REPORTS
FOR THE UNITED STATES
AND ITS POSSESSIONS
Volume XXI— Number 1
SEMIANNUAL BULLETIN, 1950
Issued by the
Federal Bureau of Investigation
United States Department of Justice
Washington, D. C.
d!w§^stor\
Errata :
Correction on page 10.
Under column "Murder, nonnegligent manslaughter" oppo-
site New England, the figures 6.8 should be .68.
Correction on page 37.
Under column "Number of police department employees"
opposite Walton, N. Y., the figure 3 should be inserted.
UNITED STATES
GOVERNMENT PRINTING OFFICE
WASHINGTON : 1950
UNIFORM
CRIME REPORTS
FOR THE UNITED STATES
AND ITS POSSESSIONS
Volume XXI— Number 1
SEMIANNUAL BULLETIN, 1950
Issued by the
Federal Bureau of Investigation
United States Department of Justice
Washington, D. C.
International Association of Chiefs of Police
UNITED STATES
GOVERNMENT PRINTING OFFICE
WASHINGTON : 1950
&c ?>i9<rV'
Contents
Page
Summary of volume XXI, No. 1 1-2
Classification of offenses 2
Crime trends:
Urban crime trends, January-June, 1949-50 (table 1) 3-4
Rural crime trends, January-June, 1949-50 (table 2)__ 5-6
Crime rates:
Urban crime rates, January-June, 1950 — cities divided according to
population (table 3) 7-8
Urban crime rates, January-June, 1950 — -cities divided according to
location (tables 4-6) 9-1 1
Rural crime rates, January-June, 1950 (table 7) 12
Offenses in individual areas:
Offenses in cities with more than 100,000 inhabitants (table 8) 13-15
Police employee data:
Police employees killed, 1949 (table 9) 16
Number of police employees per 1,000 inhabitants, April 30, 1950 —
cities grouped by size and location (tables 10, 11) 17-20
Police employees in individual cities, April 30, 1950 (tables 12, 13)___ 20-43
Offenses cleared and persons arrested:
Offenses cleared by arrest, 1949 — cities divided according to size
(table 14) 44-48
Offenses cleared by arrest, 1949 — cities divided according to location
(table 15) 49-50
Persons charged, 1949 — cities divided according to population (tables
16, 17) 50-53
Persons charged, 1949 — cities divided according to location (table 18) _ 53-55
Offenses known, offenses cleared, persons charged and persons found
guilty, 1949 — part I offense classes (table 19) 56-58
Persons charged and persons found guilty, part II offense classes
(table 20) 59-60
Persons released, 1949 — cities divided according to population (tables
21, 22) 61-63
Data compiled from fingerprint cards:
Sex distribution of persons arrested, January-June, 1950 (table 23) __ 64-65
Age distribution of persons arrested, January-June, 1950 (tables 24,
25) 66-67
Definition of part I and part II offense classifications 69-70
(ID
UNIFORM CRIME REPORTS
J. Edgar Hoover, Director, Federal Bureau of Investigation, U. S. Department
of Justice, Washington, D. C.
Volume XXI JULY 1950 Number 1
SUMMARY
Crime Trends, January-June, 1950
Crime increased 7.4 percent in the rural areas and 1.9 percent in the
cities the first half of 1950 over the same period of 1949. For the
individual offense classes the trends were as follows:
Offense
Urban
Rural
+19^8
-4.6
-3.8
+.4
+1.9
+2.2
+3.2
+1.6
-3.7
+4.8
+3.4
+4.7
+14.9
+5.6
-3.9
Police Killed, 1949
Fifty-five urban police employees were killed in line of duty during
1949 for a rate of 3.75 killed per 5 million inhabitants, the lowest figure
for the past 5 years.
Number of Police Employees, April 30, 1950
City police departments as of April 30, 1950, reported an average of
1 .95 employees per 1,000 inhabitants and 7.5 percent of the total were
classed as civilian personnel.
Offenses Cleared by Arrest, 1949
During 1949 the police made arrests in 27.9 percent of reported
crimes. The percentages cleared for murders and negligent man-
slaughters were 93.7 and 85.1, respectively, while 80.2 percent of the
rapes and 77.2 percent of the aggravated assaults were cleared by
arrest. Arrests were made in 39.5 percent of the robberies, 29.0 per-
cent of the burglaries, 21.6 percent of the larcenies, and 27.3 percent of
the auto thefts.
Persons Found Guilty, 1949
Two-thirds of the persons formally charged by the police in 1949
were found guilty. The percent found guilty ranged from 44.7 for
negligent manslaughter offenses to 83.9 for driving while intoxicated.
(1)
Persons Arrested, January-June, 1950
Of the 402,383 fingerprint arrest records received during the first
half of 1950, 9.4 percent represent women. The predominating age
among persons arrested was 21, followed by 22, 23, 19, and 20 in that
order.
CLASSIFICATION OF OFFENSES
The term "offenses known to the police" is designed to include those
crimes designated as part I classes of the uniform classification occur-
ring within the police jurisdiction, whether they become known to the
police through reports of police officers, of citizens, of prosecuting or
court officials, or otherwise. They are confined to the following group
of seven classes of grave offenses, shown by experience to be those most
generally and completely reported to the police: Criminal homicide,
including (a) murder, nonnegligent manslaughter, and (b) manslaugh-
ter by negligence; rape; robbery; aggravated assault; burglary — break-
ing or entering; larceny — theft; and auto theft. The figures contained
herein include also the number of attempted crimes of the designated
classes. In other words, an attempted burglary or robbery, for ex-
ample, is reported in the bulletin in the same manner as if the crime
had been completed. Attempted murders, however, are reported as
aggravated assaults.
"Offenses known to the police" include, therefore, all of the above
offenses, including attempts, which are reported by the law-enforce-
ment agencies of contributing communities and not merely arrests or
cleared cases. Offenses committed by juveniles are included in the
same manner as those known to have been committed by adults,
regardless of the prosecutive action. Complaints which upon inves-
tigation are learned to be groundless are not included in the tabula-
tions which follow.
In publishing the data sent in by chiefs of police in different cities,
the FBI does not vouch for their accuracy. They are given out as
current information which may throw some light on problems of
crime and criminal-law enforcement.
In compiling the tables, returns which were apparently incomplete
or otherwise defective were excluded.
In the last section of this bulletin may be found brief definitions of
part I and II offense classifications.
CRIME TRENDS
Urban and Rural Crime Trends, January-June, 1949-50
Crime rose 7.4 percent in the rural areas during the first half of 1950
over January-June 1949 as compared with a 1.9 percent increase in
urban communities. The rural upswing was registered in each crime
category except negligent manslaughter and auto theft, where de-
creases of 3.7 and 3.9 percent, respectively, were shown, in contrast to
increases of 19.8 and 3.2 percent for these crimes in the cities.
Burglaries in the rural areas rose 14.9 percent as compared with a
1.9 percent increase in such crimes in the urban communities. Larceny
offenses in the rural areas were up 5.6 percent and robberies 3.4 per-
cent, while in the cities larcenies showed a 2.2 percent rise and rob-
beries a 3.8 percent decrease.
Rapes reported by rural agencies rose 4.8 percent as compared with
a 4.6 percent decrease in urban communities, while aggravated assaults
and murders in the rural districts showed increases of 4.7 and 1.6
percent, respectively, in contrast to a 0.4 percent increase in ag-
gravated assaults and a 1.1 percent decline in murders reported by
city police.
In table 1 the offenses reported during the first half of 1949 and 1950
by the cities represented are shown and it will be observed that only
the submitted figures are presented without reducing the data to the
number of crimes per unit of population. Similarly table 2 presents
the number of offenses reported to the F B I by rural police agencies
during the first 6 months of 1949 and 1950.
Table 1. — Urban crime trends, January-June, 194.9-50
[Offenses known to the police in 1,662 cities, total population 59,300,183; based on 1940 decennial census]
Offense
Number of offenses
January-June
Percent
change
1949
1950
Total
508, 035
517, 497
+ 1.9
1,062
894
3,779
18,889
23, 655
123, 347
287,004
48, 805
1,644
1.071
3,604
18, 162
23, 755
125, 674
293, 234
50, 353
-1.1
+19.8
-4.6
+.4
+ 1.9
+2.2
+3.2
(4)
Table 2. — Rural crime trends, January- June, 1949-50
[Based on reports of 1,656 sheriffs, 127 rural village officers, and 10 State police; total rural population,
36,080,457, according to the 1940 decennial census]
Offense
Number of offenses
January-June
Percent
change
1949
1950
Total
90, 739
97, 442
+7.4
932
872
2,053
3,402
6,028
29. 295
39, 485
8,672
947
840
2,152
3,517
6, 313
33, 650
8^331
+1.6
-3.7
+4.8
+3.4
+4.7
+14.9
+5.6
Auto theft
r.
" *r^
*> -^s!
Alg^'ilirta
CRIME RATES
Urban Crime Rates, January-June, 1950
The volume of crime in terms of the number of offenses per 100,000
inhabitants shows pronounced variations among cities of the various
population groups as well as among the different sections of the
country.
In tables 3-5 there are presented the crime rates (number of offenses
per 100,000 inhabitants) calculated on the basis of the 1940 decennial
census and according to the reports submitted by the 2,471 city police
departments represented.
Individuals interested in measuring crime on a local level may make
direct comparisons of crime rates based on local figures with cities of
the same general size according to the data presented in table 3, or
comparisons may be made within a geographic division or State with
the use of the figures shown in tables 4 and 5.
In selecting the returns to be used in preparing these tabulations
only those were included wherein an examination indicated they had
been prepared in accordance with the principles of uniform crime
reporting and the number of cities represented in the crime rate
tabulations is shown in table 6.
(7)
Table 3. — Urban crime rates, January-June, 1950, by -population groups
Offenses known to the police and rate per 100,000 inhabitants. Population figures based on 1940 decennial
census]
Population group
Criminal
homicide
Mul-
der,
noimeg-
ligent
man-
slaugh-
Man-
slaugh-
ter by
negli-
gence
Rape
Rob-
bery
Aggra-
vated
Bur-
glary—
break-
ing or
entering
TOTAL, GROUPS I-VI
2,471 cities; total population,
61,347,235:
Number of offenses known .
Rate per 100,000
group I
35 cities over 250,000; total popu-
lation, 22,439,171:
Number of offenses known.
Rate per 100,000
group n
55 cities, 100,000 to 250,000; total
population, 7,792,650:
Number of offenses known.
Rate per 100,000
group in
103 cities, 50,000 to 100,000: total
population, 7,126,538:
Number of offenses known.
Rate per 100,000
group IV
210 cities, 25,000 to 50,000; total
population, 7,316,873:
Number of offenses known. .
Rate per 100,000
group v
588 cities, 10,000 to 25,000; total
population, 8,891,938:
Number of offenses known . .
Rate per 100,000
GROUP VI
1,480 cities under 10,000; total
population, 7,780,065:
Number of offenses known .
Rate per 100,000
1,086
1.77
775
3.45
202
2.83
18. 432
30.0
24. 188
39.4
125, 666
211.5
296, 549
499.1
510
2.27
201
2.58
2.064
9.20
12,011
53.5
i so, e
241
2, 772
35.6
317
4.45
228
3.12
L, 376
19.3
15,535
218.0
13.60:
185. <
111.727
544.8
44. 5.33
571.5
37.631
528. 0
36,315
496.3
64
0.82
11,798
151. 6
27. 2:i<»
350.1
23,427
104.4
5.216
71.3
5. 035
56.6
>. 667
47.1
i The number of offenses and rates for burglary and larceny— theft are based on reports as follows: Group
I, 34 cities, total population, 20,507,837; groups I-VI, 2,470 cities, total population, 59,415,901.
Table 4. — Urban crime rates, January- June, 1950, by geographic divisions and
States
[Offenses known per 100,000 inhabitants. Population
based on 1940 decennial census
Division and State
Murder,
nonneg-
ligent
man-
slaughter
Robbery
Aggra-
vated
assault
Bur
glary—
breaking
or enter-
ing
Lar-
ceny—
theft
Auto
theft
2.76
30.0
39.4
1211.5
i 499. 1
83.8
.68
9.0
5.5
135.6
287.9
52.5
.75
.69
.67
!79
8.2
3.5
10.5
3.4
7.5
9.8
3.8
4.7
1.5
6.0
1.1
16.0
159.3
141.0
125.1
103.4
173.3
97.5
2 120. 8
292.0
395.5
279.1
244.2
293. 5
350. 3
2 213. 4
51.5
53.5
56.6
25.7
41.5
47.7
1.22
15.1
47.6
.95
.89
1.55
2.21
13.2
5.1
22.1
39.1
20.3
9.4
17.8
35.4
156.2
106.5
3 108. 3
189.1
235. 7
245.1
3 168. 9
449.9
49.7
44.4
48.6
68.4
2.88
2.55
2.08
1.97
.55
1.87
62.2
19.5
41.5
29.2
5.1
22.0
46.2
20.6
61.4
19.9
4.4
29.0
177.5
216.4
262.4
175. 1
84.3
165.9
287.8
489.8
707.5
458.6
394.7
443.2
68.5
79.6
86.3
55.8
53.7
West North Central
71.6
.87
1.98
.52
3.80
1.31
5.6
21.9
13.8
42.0
13.3
1.6
4.3
32.2
3.7
15.4
3.1
74.0
17.7
3.3
1.4
121.4
124.2
202.9
118.4
214.6
144.7
150.9
172.3
268.1
402.9
551.7
365.0
455.6
536.0
511.7
384.1
567.9
66.0
75.1
55.5
78.2
110.1
61.5
45.2
6.37
109.4
3.78
8.89
9.38
3.42
7.82
6.22
6.73
2.01
21.9
38.8
25.5
26.7
20.1
14.4
41.4
17.4
32.7
9.8
73.1
83.9
56.1
261.6
59.3
112.6
26.2
71.6
1 18. 3
490.8
198.0
138.9
274.7
240.2
327.6
188.1
242.1
479.8
853.1
440.9
315.5
472.0
629.9
803. 5
339.7
395.0
92.3
Florida
117.2
91.0
133. 1
102.3
91.6
128.9
78.3
107.6
11.54
5.22
8.27
8.23
6.41
24.3
43.3
18.1
35.6
31.9
92.6
59.5
71.7
65.0
50.2
237.8
283. 1
188.4
229.7
324.1
404.3
444.9
361.7
355.9
692.2
87.6
127.8
73.8
119. 1
143.3
3.77
6.21
2.26
8.10
1.88
18.8
31.4
25.3
35.8
33.9
54.8
48.7
19.8
59.5
24.5
208.5
193.9
318. 7
387.3
339.0
369.8
389. 5
663. 5
851.1
1, 036. 5
66.1
117.0
118.7
Texas
170.2
140.3
3.00
2. 27
2.07
1.64
52.8
43.1
24.1
27.4
38.4
28.3
15.8
31.6
57.3
63.0
19.5
13.8
15.3
33.4
44.9
13.9
21.9
41.2
417.2
397.0
273.9
215.3
442.6
333. 1
318. 8
195.7
362.3
1. 488. 7
1, 055. 4
987. 3
701.9
1. 194. 3
963. 2
964.4
1, 044. 3
1. 078. 5
250.3
116.8
114.5
128.8
163. 7
.98
.73
3.65
1.96
271.6
Utah „
101. 1
90.0
149.0
2.08
.58
2.13
62.8
29.5
43.8
49.2
18.5
11.1
376.7
298.6
321.3
1.125.6
867.3
944.4
156.6
121.8
123.7
i The rates for burglary and larceny are based on the reports of 2,470 cities with a total population of
59,415,901. , , . ,
2 The rates for burglary and larcenv are based on the reports of 567 cities with a total population ol
10,423,955.
s The rates for burglary and larceny are based on the reports of 249 cities.
* Includes the District of Columbia.
10
Table 5. — Urban crime rates, January- June, 1950, by geographic divisions and
population groups
[Offenses known per 100,000 inhabitants. Population based on 1940 decennial census]
Division and Group
New England -
Group I
Group II
-Group III...
Group IV....
Group V
Group VI...
Middle Atlantic
Group I
Group II
Group III
Group IV
Group V
Group VI
st North Central-
Group I
Group II
Group III
Group IV
Group V
Group VI
West North Central-
Group I
Group II...
Group III..
Group IV..
Group V...
Group VI..
South Atlantic <
Group I
Group II
Group III
Group IV
Group V
Group VI
East South Central.
Group I
Group II
Group III
Group IV. _ _
Group V_...
Group VI
West South Central.
Group I...
Group II _.
Group III.
Group IV.
Group V. -
Group VI.
Mountain
Group I
Group II
Group ill
Group IV
Group V .
Group VI
Pacific.
Group I...
Group II_.
Grout) in.
Group [V
Group V.
Group VI.
Murder,
Bur-
nonneg-
Aggra-
glary-
Lar-
Auto
theft
ligent
Robbery
vated
breaking
ceny-
man-
assault
or enter-
theft
slaughter
ing
2.76
30.0
39.4
1211.5
i 499. 1
83.8
,6.8
9.0
5.5
135.6
287.9
52.5
1.07
18.3
14.0
113. 3
312.7
92.5
.74
12.1
6.2
174.7
314.9
64.3
.10
7.8
2.2
128.1
316.4
49.7
.95
5.4
4.2
142.4
290.8
42.3
.48
3.3
1.5
110.8
235.9
23.8
.46
4.2
3 7
121.6
197.6
25.6
1.22
15.1
16.0
2 120. 8
2 213.4
47.6
2.34
31.4
28.9
3 157. 6
3 209.8
66.7
1.04
11.0
14.7
145.1
250.5
55.0
.63
8.1
13.2
139.2
244.1
53.1
.55
6.4
9.4
109.5
248.7
31.2
.83
5.5
7.2
96.9
202.8
33.0
.43
7.3
7.1
83.6
151.0
25.9
2.21
39.1
35.4
189.1
449.9
68.4
3.21
65.7
57.4
211.7
465.7
80.4
2.56
31.1
35.7
221.4
572. 7
82.8
1.87
20.2
26.9
201.9
523.0
72.4
.93
10.9
10.0
154.4
430.5
61.1
.97
10.8
7.8
144.1
424. 3
44.3
.68
8.2
5.3
139.8
274.1
34.9
1.87
22.0
29.0
165.9
443.2
71.6
3.21
41.1
65.1
200.5
471.1
85.7
2.08
21.5
12.9
190.8
539.6
118.0
.91
10.9
14.4
178. 1
624.0
81.8
1.01
8.8
3.3
157.1
424.0
55.6
.67
8.7
4.3
130.9
405.6
40.6
.90
5.8
6.4
99.4
237.1
34.5
6.37
32.2
121.4
268.1
567.9
109.4
5.70
45.7
152.4
201.6
. 481. 4
129.8
8.26
53.0
114.0
461.3
851.3
154.4
6.27
21.7
109.9
248.2
564.9
89.1
5.70
16.9
108.1
290.8
714.8
99.5
6.70
13.9
122.6
241.8
478.3
90.8
5.76
20.2
78.8
202.6
351.7
52.6
8.26
32.7
71.6
242.1
395.0
107.6
7.16
55.5
68.3
309. 0
521.9
138.1
10.56
35.1
91.6
221.3
352.5
134.1
11.39
18.9
80.1
341.4
409.4
87.2
8.02
19.1
101.8
177.6
420.0
105.5
7.11
19.3
64.7
195.7
349.4
86.9
7. 50
13. 3
31.7
138.7
154.0
46. 1
6.41
31.9
50.2
324.1
692.2
143.3
8.13
43.4
58. 1
421.8
760.8
191.6
6.68
42.3
34.9
422.7
965.2
177.0
6.50
40.2
73.0
334.7
848.9
158.0
4.42
19.3
55.8
256.4
736.9
130.2
5.03
15.2
35.5
181.2
463.6
70.0
3.72
9.9
29.3
164.5
261.8
54.3
1.88
33.9
24.5
339.0
1, 038. 5
140.3
2.48
65.8
23.9
531.3
1, 254. 9
148.6
.67
16. 7
8.0
383.5
977.8
105.4
4. 59
71.9
110. 1
478.5
1, 930. 8
380.7
2.44
31.3
29.7
291.2
1.129.8
218.8
1.53
21.1
19.9
279 0
1, 078. 9
115.3
1.40
21.4
18.4
231.1
671.7
83.9
1.96
57.3
41.2
362.3
1, 078. 5
149.0
2.02
77.6
60. 6
368. 8
955. 8
160.1
1.99
49.1
19.9
279.2
L,099.6
169.2
3.49
47.2
36.5
431.5
1, L78.2
135.6
1. 99
36.5
22.7
377. 2
1,147.6
113.9
1.84
31.4
20.2
:;ss.n
1.317.3
138.8
.80
25.6
15.8
33-1.7
1. 217. 7
127.6
1 The rates for burglary and larceny are based on the reports of 2.470 cities with a population of 59.415,901.
- The rales for burglary and larceny are based on the reports of 567 cities with a total population of
' The rates for burglary and larceny are based on the reports of 4 cities.
i Includes the District of Columbia.
11
Table 6. — Number of cities in each population group, geographic division, and State
represented in the urban crime rate tabulations for January-June, 1950 (tables 3-5)
Total
Population group
Division and State
Over
250,000
100,000 to
250,000
50,000 to
100,000
25,000 to
50,000
10,000 to
25,000
Less than
10,000
Total:
Population, 61,347,235
2,471
35
55
103
210
588
1,480
New Encland:
Population, 6,069,959
193
2
10
13
35
67
66
26
18
106
17
17
9
568
3
2
1
8
1
1
8
2
16
2
6
1
36
7
5
42
6
6
144
6
10
1
7
32
New Hampshire
8
1
3
7
Middle Atlantic:
Population, 12,355,289
5
11
23
349
144
174
250
583
1
2
2
8
4
4
3
10
6
10
23
14
10
60
36
40
62
117
82
106
161
East North Central:
Population, 16,773,354
365
149
85
109
157
83
266
1
1
1
4
1
4
1
3
4
7
4
6
4
8
14
10
9
14
13
12
31
14
23
32
17
61
95
53
68
99
50
West North Central:
Population, 5,442,172
5
176
55
53
64
45
25
10
14
239
1
2
1
4
1
6
1
1
2
8
15
11
13
6
3
5
59
36
34
2
2
49
2
1
26
1
17
1
1
20
6
8
South Atlantic:
Population, 6,108,659
3
7
16
134
6
1
41
37
15
51
24
39
25
120
1
5
1
3
1
4
4
1
2
4
2
5
2
10
11
11
4
15
5
6
7
29
22
1
1
20
8
1
4
2
2
3
4
27
15
2
24
13
East South Central:
Population, 2,687,670
3
3
71
32
38
22
28
162
1
1
2
1
3
5
1
1
13
7
6
10
6
43
19
25
10
1
4
3
3
West South Central:
Population, 4,104,851
8
91
21
21
39
81
118
1
1
1
3
2
7
7
6
4
14
19
22
13
1
12
2
1
1
21
3
1
6
1
45
Mountain:
Population, 1,540,624
86
14
27
18
16
5
12
18
8
222
1
1
1
1
2
12
1
5
5
4
1
2
1
4
46
20
12
10
4
1
1
9
Utah
1
15
Wyoming
Pacific:
Population, 6,264,657
4
5
5
7
17
142
California
158
30
34
3
3
7
13
3
34
5
98
23
2
21
12
Rural Crime Rates, January-June, 1950
The number of offenses and the rate per 100,000 inhabitants as
reported by 1,849 sheriffs, 151 rural village officers, and 11 State police
organizations are shown in table 7. The rural population represented
is 39,694,356, according to the 1940 census.
For offenses of criminal homicide and rape, the rural crime rates
compare reasonably well with those for urban areas, but for the other
offenses the rural rates are noticeably lower and this is particularly
true with reference to crimes against property. In this connection, it
should be observed that the rural data do include some returns which
may have been limited to information as to persons arrested and such
incompleteness in reporting would be most pronounced in connection
with crimes against property where a relatively small proportion are
followed by arrest.
Table 7. — Rural crime rales, January-June, 1950
Offenses known and rate per 100,000 inhabitants, as reported by 1,849 sheriffs, 151 rural village officers,
and 11 State police; total rural population, 39,694,356, based on 1940 decennial census]
Criminal homi-
cide
Rape
Rob-
bery
Aggra-
vated
assault
Bur-
glary—
break-
ing or
enter-
ing
Lar-
ceny-
theft
Mur-
der,
nonneg-
ligent
man-
slaugh-
ter
Man-
slaugh-
ter by
negli-
gence
Auto
theft
Population 39,694,356:
Number of offenses known
1,123
2.83
903
2.27
2,383
6.00
4. 009
10.1
7, 378
18.6
36, 611
92.2
44, 961
113.3
9,188
23.1
OFFENSES IN INDIVIDUAL AREAS
Offenses in Individual Cities With More Than 100,000 Inhabitants
The number of offenses reported as having been committed during
the period of January-June, 1950, is shown hi table 8. The compila-
tion includes the reports received from police departments in cities
with more than 100,000 inhabitants. Police administrators and other
interested individuals will probably find it desirable to compare the
crime rates of then cities with the average rates shown in tables 3-5
of this publication. Similarly, they will doubtless desire to make com-
parisons with the figures for their communities for prior periods, in
order to determine whether there has been an increase or a decrease
in the amount of crime committed.
Caution should be exercised in comparing crime data for individual
cities because the differences in the figures may be due to a variety of
factors. Such comparisons are not desirable even though the figures
for individual communities are converted into terms of the number of
offenses per 100,000 inhabitants.
The following is a list of some of the factors which affect the amount
of crime in the community:
Population of the city and metropolitan area adjacent thereto.
The composition of the population with reference particularly to
age, sex, and race.
The economic status and activities of the population.
Climate.
Educational, recreational, and religious facilities.
The number of police employees per unit of population.
The standards governing appointments to the police force.
The policies of the prosecuting officials and the courts.
The attitude of the public toward law-enforcement problems.
The degree of efficiency of the local law-enforcement agency.
The figures presented in the following tabulation are those reported
by the individual police departments in the cities represented without
reducing the data to crime rates (number of offenses per 100,000
inhabitants) .
In considering the volume of crime committed locally, it is generally
more important to determine whether the figures for a given com-
munity show increases or decreases rather than to ascertain whether
they exceed or fall short of those for some other individual community,
(13)
14
and it should be remembered that the amount of crime committed in
a community is not solely chargeable to the police but is rather a
charge against the entire community.
In publishing these figures the FBI acts as a service agency. The
figures published are those submitted by the contributing agencies.
Table 8. — Number of offenses known to the police, January-June, 1950, cities over
100,000 in population
[Based on 1940 decennial census]
City
4
Albany, N. Y
3
41
32
29
7
3
Buffalo, N. Y
7
2
5
1
Charlotte, N. C
13
8
135
22
25
Dallas, Tex
28
11
8
5
43
Elizabeth, N.J
3
1
Fort Worth, Tex
24
9
1
1
Honolulu, T. H
4
11
16
3
25
15
Long Beach, Calif...
2
22
19
15
16
2
20
Newark, N. J
11
Murder,
nonneg-
ligent
man-
slaughter
Robbery
135
263
113
157
12
41
24
48
25
16
33
3, 036
Aggra-
vated
assault
Bur-
glary-
breaking
or en-
tering
56 76 658 485
Complete data not received
1,101
1,306
1,664
454
1,713
254
5,213
111
187
187
166
439
222
586
308
396
324
440
2,248
1,213
Larceny— theft
$50 and Under
$50
913
140
322
92
95
128
109
(')
3, S2S
512
317
415
72
32
296
96
528
220
231
866
956
1,851
39
266
307
210
404
132
71
5%
(')
1,528
1,329
1,361
5,659
5, 618
10,040
225
252
1,368
835
1,176
13
150
146
748
341
130
868
156
147
152
1.282
513
862
44
50
299
443
2,072
118
16
580
503
1,338
71
62
295
218
407
130
270
995
520
904
Larcenies not separately reported. Figure listed includes both major and minor larcenies.
15
Table 8. — Number of offenses known to the police, January- June, 1950, cities over
100,000 in population — Continued
City
Murder,
nonneg-
ligent
man-
slaughtei
Robbery
Aggra-
vated
assault
Bur-
glary-
breaking
or en-
tering
Larceny— theft
$50 and
over
Under
$50
8
13
212
1
23
250
285
394
1,125
97
185
635
517
465
1,168
Auto
theft
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 .
Sacramento, Calif.
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_
Wichita, Kans
Wilmington, Del...
Worcester, Mass...
Yonkers, N. Y
Youngstown, Ohio.
Complete data not received
173
399
849
552
1,150
191
175
1,302
196
3,166
81
60
951
382
1,466
54
40
347
184
1,125
16
43
382
65
263
51
47
232
83
447
792
583
3,060
1 269
1,267
250
170
1.171)
324
372
120
78
1,051
680
2,077
30
25
521
211
674
9
8
189
48
224
73
140
782
388
1,402
23
42
439
150
816
73
24
303
522
1,241
429
1,029
1,996
605
2,748
53
22
558
157
1,243
25
12
575
211
1, 255
68
156
985
297
2,041
41
27
335
459
1,382
521
223
2,022
661
4,587
14
255
10
51
145
1,452
60
603
225
2,142
14
21
1
35
192
226
41
191
200
598
20
8
314
160
1,505
7
9
200
98
343
14
5
265
221
666
80
10
420
243
712
46
118
506
235
743
88
82
666
333
1,297
23
28
177
98
155
56
36
679
413
887
7
4
123
49
221
435
1,911
1,740
833
3,773
17
18
368
114
714
21
2
173
134
447
28
5
335
160
466
12
15
118
47
290
28
19
215
168
381
431
433
384
134
132
,014
660
432
133
40
358
127
317
870
158
429
357
1,368
47
POLICE EMPLOYEE DATA
Police Killed, 1949
The number of police employees killed in line of duty has steadily
declined during the last several years. The number killed per
5,000,000 inhabitants during the past 5 years such surveys have been
conducted is as follows:
1945 4. 06
1946 5.64
1947 4. 59
1948 4. 35
1949 3.75
The available figures showing police employees killed and the rate
per 5,000,000 inhabitants are presented in table 9 for cities grouped
according to size and location. The data include all employees re-
ported killed in line of duty, regardless of the manner in which they
lost their lives. Thus the figures include not only police officers killed
by criminals, but also police employees killed in traffic accidents while
in line of duty and the like.
The police employee data in the tables which follow are supple-
mented by the figures shown in table 11, which indicates the number
of cities and the population represented whose police departments'
reports are included in the summary tabulations. It is significant
that over 98 percent of the urban population is represented.
Table 9. — Number of police depart?nent employees killed, 1949, by geographic
division and population groups
[Includes only those employees killed while on active duty with their local police agencies]
Total
Population group
Geographic division
Num-
ber
Rate per
5,000,000
inhabi-
tants
Over
250,000
100,000
to
250,000
50,000
to
100,000
25,000
to
50,000
10,000
to
25,000
Less
than
10,000
Total:
Xumber
Rate per 5,000,000 inhab-
55
3.75
18
2.98
7
4.49
4
2.72
4
2.70
8
4.08
14
6.48
1
11
6
10
6
3
6
8
.79
3.35
1.73
8.48
4. 46
4.89
6.11
2.85
6.30
......
......
1
5
4
1
1
2
2
......
1
2
2
1
Wes1 North Central
1
3
2
West South Central
2
1
3
1
(16)
17
Number of Police Employees, April 30, 1950
As of the last day of April 1950, police department employees
numbered 1.95 for each 1,000 inhabitants, a slight increase (3.2
percent) over the figures for the previous year, and some increase was
registered in nearly every population group and geographic division.
In connection with the steady increase in the number of police
employees per 1,000 inhabitants recorded during recent years, it
should be observed that this increase does not necessarily represent a
proportionate increase in police strength. All calculations have been
based on the 1940 decennial census figures, whereas it is entirely
possible many departments have grown in size in an effort to keep
pace with an increased local population, which local increases are not
taken into account in the tabulations which follow. Then, too, any
general tendency for departments across the country to change over
from a 6-day work week to a 5-day week would call for more names
on the payroll without necessarily increasing the police coverage.
Average figures showing the number of police employees per 1,000
inhabitants as of April 30, 1950, are presented in table 10 with the
cities divided according to size and location so that interested
individuals may compare local figures with national or regional
averages. Obviously, the data represent the result of a survey of
existing police strength across the country as of the date indicated
and do not necessarily represent specific recommendations as to the
number of employees that should be on the rolls of a department of
any particular size or in any one section of the country. It should
be observed, too, that the data include civilian employees such as
clerks, stenographers, and others without police powers.
IS
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ITANTS
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1!)
Table 10. — Police Department employees, April 80, 1950, number and rate per
1,000 inhabitants, by geographic divisions and popidalion groups
[Population figures from 1940 decennial census]
Population group
Group I Group II Group III
Over
250,0(10
100. I
to
250,000
Group
IV
Group Group
V VI
10,000
to
25,000
Less
than
10,000
Total:
Number of police employees
Average number of employees per
1,000 inhabitants
New England:
Number of police employees..
Average number of employees per
1,000 inhabitants...
Middle Atlantic:
Number of police employees
Average number of employees per
1,000 inhabitants
East North Central:
Number of police employees
Average number of employees per
. 1,000 inhabitants
West North Central:
Number of police employees
Average number of employees per
1,000 inhabitants
South Atlantic: '
Number of police employees
Average number of employees per
1,000 inhabitants
East South Central:
Number of police employees
Average number of employees per
1 ,000 inhabitants
West South Central:
Number of police employees
Average number of employees per
1,000 inhabitants
Mountain:
Number of police employees
Average number of employees per
1,000 inhabitants
Pacific:
Number of police employees
Averaee number of employees per
1,000 inhabitants
i Includes the District of Columbia.
12,481
1.96
44, 578
2.13
31,352
1.81
8,891
1.51
14,037
2.09
4,689
1.53
7,579
1.54
2,911
1.66
16, 348
2.57
73, 684
2.44
13, 842
1.78
12, 941
1.76
14, 827
1.51
3,240
3.16
29, 860
2.55
18, 188
2.30
4, 036
2.02
4,772
2.62
1,308
1.49
2,449
1.72
587
1.82
9,244
2.97
2,778
2.05
2,606
1.81
2,102
1.42
1.36
2,179
2.17
576
1.41
900
1.72
224
1.49
1,497
2.12
1,807
1.88
3,015
1.84
2,566
1.65
718
1.31
1,930
1.75
522
1.86
1,094
1.67
262
2.23
1,027
2.11
2,301
1.77
2,275
1.71
2,940
1.36
487
1.23
1.383
2.02
517
1.59
730
1.70
423
1.72
1,146
2.08
1,740
1.47
3,739
1.49
2,478
1.32
1,254
1.26
1,692
1.82
742
1.55
1,080
1.40
614
1.62
1,488
2.24
15, 370
1.42
615
1.13
3,083
1.33
3,078
1.30
1,416
1.14
2,081
1.77
1,024
1.46
1,326
1.21
801
1.49
1,946
2.35
20
Table 11. — Number of cities used in tabulations regarding number of police
department employees, April SO, 1950, and police killed, 1949
[Population figures from 1940 decennial census]
Total
Population group
Division
Group
I
Group
II
Group
III
Group
IV
Group
V
Group
VI
Over
250,000
100,000
to
250,000
7, 792, 650
55
50,000
to
100,000
7, 343, 917
107
25,000
to
50,000
7, 417, 093
213
10,000
to
25,000
Less
than
10,000
Total:
73, 340, 751
3.223
30, 195, 339
37
9, 793, 229
652
10, 798, 523
2.159
N umber of cities _ . _
New England: Total population,
6,368,787
223
694
692
362
363
195
304
150
240
2
7
8
4
3
3
4
1
S
10
11
10
5
7
3
3
1
s
13
24
23
8
17
4
9
2
7
36
38
60
12
20
10
13
17
76
160
126
68
64
31
54
26
47
86
Middle Atlantic: Total population,
East North Central: Total popula-
465
West North Central: Total popula-
265
South Atlantic: Total population,
6,720,172
252
East South Central: Total popula-
144
West South Central: Total popula-
221
Mountain: Total population,
113
Pacific: Total population, 6,351,226.
159
Police Employees in Individual Cities
The number of employees as of April 30, 1950, is shown in tables 12
and 13 for each city according to the reports of the individual police
departments. The cities are grouped generally by size and then
listed alphabetically, first by State and then by city.
All reporting cities with population in excess of 250,000 indicated
civilian employees were employed and in cities with population from
100,000 to 250,000, all but 1 employed civilian personnel. For cities
with population from 50,000 to 100,000, all but 6 reported civilian
personnel and only 50 of the cities with population from 25,000 to
50,000 showed no civilian personnel on the rolls as of April 30, 1950.
The following tabulation indicates the proportion of employees
classified as civilians in cities of the various population groups:
Population group: Percent civilian employees
Total, all cities 7. 5
Group I (over 250,000) 8.4
Group II (100,000-250,000) - 9.9
Group III (50,000-100,000) . . 9. 0
Group IV (25,000-50,000) 5.9
Group V (10,000-25,000) 4 3
Group VI (2,500-10,000) 3. 9
21
Comparisons of police strength between individual cities represented
in the following tabulations should not be made indiscriminately since
there are so many factors entering into the problem of the adequacy
of police strength in individual cities. As an illustration, in some
cities the police departments are on a 48-hour workweek or longer,
while in others a 40-hour week has been adopted. Also, while in most
departments the three-shift system is in operation, some may still re-
tain the 12-hour day. Then, too, differences in automotive and com-
munication equipment have a direct bearing on the problem as well as
the number of private police and separate police organizations such as
public park police and the like that are in existence.
In some areas the handling of traffic at school crossings is assigned
to full-time police officers, while in other communities the department
may utilize part-time school crossing guards who may be classed as
civilian employees.
The report form forwarded by the police as of April 30, 1950, pro-
vided for a separate listing of full-time and part-time employees and
further, a designation of the number in each class who were police
officers and those who were civilians. The form was also designed to
include a statement of the equivalent number of full-time employees
represented by the work of the part-time employees in April. If the
department's entries relative to part-time employees were limited to
the total time worked during April the FBI changed the data into
terms of full-time employees. For this purpose it was assumed that
200 hours was the approximate monthly time of a regular employee.
In the event a part-time employee worked at least 75 percent of the
normal working hours for the month, one full-time employee was
counted.
If employees were not paid from police department funds or from
some public fund allocated for police personnel, they were excluded
from the tabulations. Also, employees on military or other extended
leave of absence were excluded from the figures.
22
Table 12. — Number of police department employees, April SO, 1950, cities over
25,000 in population
[Based on 1940 decennial census]
CITIES WITH OVER 250,000 INHABITANTS
City
Birmingham, Ala...
Los Angeles, Calif..
Oakland, Calif
San Francisco, Calif
Denver, Colo
Washington, D. C.
Atlanta, Ga
Chicago, 111
Indianapolis, Ind...
Louisville, Ky
New Orleans, La...
Baltimore, Md
Boston, Mass
Detroit, Mich
Minneapolis, Mimi.
St. Paul, Minn
Kansas City, Mo...
St. Louis, Mo
City, N.J...
Number of police
department employ-
ees
Police
officers
Civil-
ians
Total
331
29
360
4,377
844
5,221
673
109
782
1,710
101
1,811
537
50
587
1,899
174
2,073
4-77
72
549
7,243
337
7,580
689
107
796
497
51
548
922
4
926 '
1.917
233
2,150
2,494
235
2,729
4,374
318
4.692
577
49
626
366
38
404
571
158
729
1, 862
415
2.277
868
136
1,004
City
Police Civil- rp. .
officers ians lotal
Newark, N. J
Buffalo, N. Y.._.
New York, N. Y.
Rochester, N. Y.
Cincinnati, Ohio.
Cleveland, Ohio.
Columbus, Ohio.
Toledo, Ohio
Portland, Oreg...
Philadelphia, Pa.
Pittsburgh, Pa...
Providence, R. I.
Memphis, Term.
Dallas, Tex
Houston, Tex
San Antonio, Tex
Seattle, Wash__._
Milwaukee, Wis..
Number of police
department employ-
ees
1. 250
1.220
18,681
438
750
1, 692
411
357
593
4, 390
1, 30S
444
334
474
511
282
631
1, 336
CITIES WITH 100,000 TO 250,000 INHABITANTS
Long Beach, Calif. . .
Sacramento, Calif
San Diego, Calif
Bridgeport, Conn
Hartford, Conn.
New Haven, Conn...
Wilmington, Del
Jacksonville, Fla
Miami, Fla
Tampa, Fla
Peoria, 111..
Fort Wayne, Ind
Gary, Ind
South Bend, Ind
Des Moines, Iowa. . .
Kansas City, Kans..
Wichita, Kans
Cambridge, Mass
Fall River, Mass
Lowell, Mass
New Bedford, Mass.
Somerville, Mass
Springfield, Mass
AVorcester, Mass
Flint, Mich
Grand Rapids, Mich
Duluth, Minn
Omaha, Nebr
329
74
403
195
32
227
373
74
447
288
19
307
297
33
330
320
28
348
181
25
206
288
45
333
513
59
572
166
20
186
142
7
149
174
3
177
201
38
239
150
11
161
160
20
180
136
21
157
174
31
205
234
9
243
214
13
227
195
4
199
195
13
208
172
2
174
302
20
322
394
26
420
185
39
224
239
27
266
121
16
137
263
38
301
Camden, N. J
Elizabeth, N. J..
Paterson, N. J
Trenton, N. J.__.
Albany, N. Y
Syracuse, N. Y
Utica, N. Y
Yonkers, N. Y
Charlotte, N. C.
Akron, Ohio
Canton, Ohio
Dayton, Ohio
Youngstown, Ohio
Oklahoma City, Okla
Tulsa, Okla
Erie, Pa
Reading, Pa
Scranton, Pa
Chattanooga, Term...
Knoxville, Tenn
Nashville, Tenn
Fort Worth, Tex
Salt Lake City, Utah-
Norfolk, Va
Richmond, Va
Spokane, Wash
Tacoma, Wash
186
61
227
10
242
9
233
17
316
25
320
39
155
7
240
16
180
4
251
12
134
5
206
39
203
36
220
84
192
37
152
16
133
19
170
13
156
7
166
30
191
26
345
22
224
328
24
313
33
186
17
200
17
CITIES WITH 50,000 TO 100,000 INHABITANTS
Mobile, Ala
Montgomery, Ala. _
Phoenix, Ariz
Little Rock, Ark
Berkeley, Calif
Fresno, Calif
I Hendale, Calif
Pasadena, Calif
San lose, Calif
Santa Monica, Calif
Stockton, Calif
Pueblo, Colo
New Britain, ( !onn
Waterbury, Conn.
St. Petersburg, Fla
134
29
103
129
13
142
167
21
188
118
5
123
127
8
135
156
20
176
122
42
164
142
24
166
117
5
122
117
45
162
98
4
102
68
6
71
126
5
131
198
15
213
85
7
92
Augusta, Ga
Columbus, Ga
Macon, Ga
Savannah, Ga
Cicero, 111
Decatur, 111
East St. Louis, 111
Evanston, 111
Oak Park, 111
Rockford, 111
Springfield, 111
East Chicago, Ind
Evansville, Ind ...
Hammond, Ind
Terre Haute, Ind.
121
11
lis
2
97
3
162
13
79
22
58
4
68
32
90
39
65
22
94
5
99
24
103
7
170
8
115
15
91
2
23
Table 12. — Number of police department employees, April 30, 1950, cities over
25,000 in population — Continued
CITIES WITH 50,000 TO 100,000 INHABITANTS— Continued
Oity
Cedar Rapids, Iowa
Davenport, Iowa
Sioux City, Iowa
Waterloo, Iowa
Topeka, Kans
Covington, Ky
Shreveport, La
Portland, Maine
Brockton, Mass
Holyoke, Mass
Lawrence, Mass
Lynn, Mass
Maiden, Mass
Medford, Mass
Newton, Mass
Quincy, Mass
Dearborn, Mich
Highland Park, Mich-..
Kalamazoo, Mich
Lansing, Mich
Pontiac, Mich
Saginaw, Mich
Jackson, Miss
St. Joseph, Mo
Springfield, Mo
Lincoln, Nebr
Manchester, N. H
Atlantic City, N.J
Bayonne, 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 Roehelle, N. Y_...
Niagara Falls, N. Y
Schenectady, N. Y
Number of police
department employ-
Police
Civil-
officers
ians
78
7
82
2
80
17
65
82
22
74
153
11
114
7
101
4
103
1
139
4
181
13
103
2
112
1
149
5
138
3
163
32
102
20
73
13
115
4
74
10
127
14
115
28
94
4
75
9
84
17
118
4
196
44
221
7
113
1
179
93
5
116
114
114
18
137
6
138
9
145
9
157
14
Oity
Troy, N. Y
Asheville, N. O
Durham, N. O
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
Upper Darby Township, Pa
Wilkes-Barre, Pa
York, Pa
Pawtucket, R. I
Charleston, S. C
Columbia, S. C
Amarillo, Tex
Austin, Tex
Beaumont, Tex
Corpus Christi, Tex
El Paso, Tex
Galveston, Tex
Waco, Tex
Arlington County, Va
Portsmouth, Va
Roanoke, Va
Charleston, W. Va
Huntington, W. Va.
Wheeling, W. Va
Madison, Wis
Racine, Wis
Number of police
department employ-
Police Civil
officers ians
CITIES WITH 25,00(1 TO 50,000 INHABITANTS
Anniston, Ala
Gadsden, Ala
Tuscaloosa, Ala
Tuscon, Ariz
Fort Smith, Ark
Alameda, Calif
Alhambra, Calif
Bakersfield, Calif
Belvedere Township, Calif
Beverly Hills, Calif
Burbank, Calif
Huntington Park, Calif
Inglewood, Calif
Riverside, Calif
San Bernardino, Calif
Santa Ana, Calif
Santa Barbara, Calif
South Gate, Calif
Colorado Springs, Colo
Bristol, Conn
Greenwich Town, Conn...
Meriden, Conn
Middletown, Conn
New London, Conn,,
Norwalk, Conn
Stamford, Conn
Torrington, Conn.. ._
West Hartford, Conn
West Haven, Conn
Miami Beach, Fla....
Orlando, Fla
Pensaeola, Fla
West Palm Beach, Fla
31
1
32
73
4
77
44
2
46
76
9
85
44
44
66
2
68
54
16
70
74
6
80
77
8
85
56
9
65
82
24
106
41
-2
43
47
4
51
67
5
72
107
13
120
60
4
64
53
12
65
45
8
53
63
6
69
47
2
49
93
10
103
64
1
65
34
2
36
57
3
60
66
66
112
8
120
44
1
45
76
76
40
40
125
33
158
77
2
79
67
8
75
65
1
66
Rome, Ga
Boise, Idaho
Alton, 111
Aurora, 111
Belleville, ni
Berwyn, TJ1
Bloomington, 111
Danville, HI
Elgin, HI
Galesburg, 111
Joilet, HI
Maywood, HI
Moline, HI
Quincy, 111
Rock Island, 111
Waukegan, 111
Anderson, Ind
Elkhart, Ind
Kokomo, Ind
Lafayette, Ind
Marion, Ind
Michigan City, Ind..
Mishawaka, Ind
Muncie, Ind
New Albany, Ind
Richmond, Ind
Burlington, Iowa
Clinton, Iowa
Council Bluffs, Iowa
Dubuque, Iowa
Mason City, Iowa...
Ottumwa, Iowa
Hutchinson, Kans...
38
6
52
3
37
53
31
1
43
8
36
4
33
46
2
32
4
63
2
24
1
30
1
41
4
46
35
2
66
5
55
5
57
3
49
38
43
41
4
82
24
47
33
2
26
34
3
43
30
5
29
3
28
2
24
Table 12. — Number of police department employees, April SO, 1950, cities over
25,000 in population — Continued
CITIES WITH 25,000 TO 50,000 INHABITANTS— Continued
City
Ashland, Ky
Lexingt on , Ky
Newport, Ky
Owensboro, Ky
Paducah, Ky
A lexandria, La
Baton Rouge, La
Monroe, La
Bangor, Maine
Lewiston, Maine
Cumberland, Md
Hagerstown, Md
Arlington, Mass
Belmont, Mass
Beverly, Mass_
Brookline, Mass
Chelsea, Mass
Chicopee, Mass
Everett, Mass
Fitehburg, Mass
Haverhill, Mass
Melrose, Mass
Pittsfield, Mass
Revere, Mass
Salem, Mass
Taunton, Mass
Waltham, Mass
Watertown, Mass
Ann Arbor, Mich
Battle Creek, Mich
Bay City, Mich
Hamtramck, Mich
Jackson, Mich
Muskegon, Mich
Port Huron, Mich
Royal Oak, Mich
Wyandotte, Mich
Rochester, Minn
Meridian, Miss
Joplin, Mo
University City, Mo
Butte, Mont
Great Falls, Mont
Concord, N. H
Nashua, N. H
Belleville, N. J.
Bloomfield, N. J
Clifton, N.J
Garfield, N.J
Hackensack, N. J
Hamilton Township, N. J...
Kearny, N. J
Montclair, N. J
New Brunswick, N. J
North Bergen Township. N.J
Orange. N. J
Perth Amboy, N. J
Plainneld, N. J....
Teaneek Township, N. J
West New York, N.J
West Orange, X.J
Woodbridge Township. \. J
Albuquerque, \ \l<\
Amsterdam, N. Y
Auburn, N. Y
Elmira, X. Y
Jamestown, N. Y... _.
Kingston, N. Y..
Xrwburgh, N. Y
Poughkeepsie, X. Y
Rome, N. Y
Watertown, N. Y__
White Plains, N. Y
High Point, X. C._
Raleigh, N. C
Number of police
department employ-
ees
Police Civil-
officers ians
City
Rocky Mount, N. C
Wilmington, N. C __
Fargo, N. Dak
East Cleveland, Ohio
Elyria, Ohio
Lima, Ohio
Lorain, Ohio
Mansfield, Ohio
Marion, Ohio
Massillon, Ohio
Middletown, Ohio.
Newark, Ohio
Norwood, Ohio
Portsmouth, Ohio
Steubenville, Ohio
Warren, Ohio
Zanesville, Ohio
Enid, Okla
Muskogee, Okla
Salem, Oreg
Aliquippa, Pa
Easton, Pa
Haverford Township, Pa
Hazleton, Pa
Lebanon, Pa
Lower Merion Township,
New Castle, Pa
Norristown, Pa.
Sharon, Pa
Washington, Pa
Wilkinsburg. Pa
Williamsport, Pa
Central Falls, R. L.
Cranston, R. I
East Providence, R. I...
Newport, R. I
Warwick, R. I
Woonsocket, R. I
Greenville, S. C
Spartanburg, S. C
Sioux Falls, S. Dak
Johnson City, Tenn
Abilene, Tex
Laredo, Tex
Lubbock, Tex
Port Arthur, Tex
San Angelo, Tex
Tyler. Tex
Wichita Falls, Tex
Ogden, Utah
Burlington, Vt
Alexandria, Va
Danville, Va
Lynchburg, Va
Newport News, Va
Petersburg, Va
Bellingham, Wash
Everett, Wash
Yakima, Wash
Clarksburg, W. Va
Parkersburg, W. Va
Apnleton, Wis
Beloit, Wis
Eau Claire, Wis
Fond du Lac, Wis
Green Bay, Wis
Kenosha, Wis_.
La Crosse, Wis
Oshkosh, Wis
Sheboygan, Wis
Superior, Wis
U'ausau, Wis
Wauwatosa, Wis
West Allis. Wis
Number of police
department employ-
Police
ollicers
Civil-
ians
25
Table 13. — Number of police department employees, April 30, 1950, cities with
population from 2,500 to 25,000
[Based on 1940 decennial census]
CITIES WITH 10,000 TO 25,000 INHABITANTS
City
Number of
police de-
partment
employees
City
Number of
police de-
partment
employees
35
22
32
12
23
22
31
10
19
39
16
41
19
20
18
25
21
90
31
44
29
29
16
21
26
18
20
40
28
26
21
27
32
54
26
34
31
145
29
23
30
43
34
23
21
63
30
31
18
16
20
18
14
24
41
57
28
49
11
32
21
13
32
47
48
17
35
18
39
25
21
16
21
42
37
Fairfield, Ala
Selma, Ala
North Little Rock, Ark...
Pine Bluff, Ark
Albany, Calif
Bell, Calif
Blue Island, 111
Brookfield, 111
Cairo, 111
Calumet City, 111
Chicago Heights, 111 ..
East Moline, 111
Ontario, Calif
Highland Park, 111
Redlands, Calif ..
La Salle, 111
Salinas, Calif ..
San Gabriel, Calif
San Mateo, Calif .
Santa Cruz, Calif...
Pekin, 111
Vallejo, Calif ...
Whittier, Calif
West Frankfort, HI
Trinidad, Colo
Key West, Fla
25
21
Albany, Ga ...
Muscatine, Iowa
21
26
Table 13. — Numher of police department employees, April 30, 1950, cities with
population from 2,500 to 25,000 — Continued
CITIES WITH 10,000 TO 25,000 INHABITANTS— Continued
City
Number of
police de-
partment
employees
City
Number of
police de-
partment
employees
12
11
15
14
10
24
12
16
12
11
21
21
17
12
10
16
19
28
26
11
14
27
16
17
21
30
41
17
24
23
15
14
25
16
8
19
16
27
23
15
12
19
13
31
34
lf>
16
26
11
10
34
23
42
24
25
24
20
20
27
16
40
20
25
16
27
31
11
5
27
30
21
20
14
23
20
23
24
20 1
Wellesley, Mass
Holland, Mich
River Rouge, Mich
27
10
21
27
30
20
28
25
33
34
Greenfield, Mass
18
Leominster, Mass
Lexington, Mass
28
33
.MarlliiinniL'h, Mass
Hannibal, Mo
22
Methuen, Mass
27
Milford, Mass
24
Milieu, Mass
Kirksville, Mo
11
23
20
10
North Adams. Mass
Poplar HluiT. Mo
9
17
St Charles. Mo
13
25
23
38
18
22
• 10
10
26
Eastings. Nebr
Norfolk, Nebr .._ _.
--- -
16
27
Table 13. — Number of -police department employees, April 80, 1950, cities with
population from 2,500 to 25,000 — Continued
CITIES WITH 10,000 TO 25,000 INHABITANTS-Continued
City
Number of
police de-
partment
employees
City
Number of
police de-
partment
employees
North Platte, Nebr
17
20
89
32
14
20
18
22
29
14
47
23
21
21
21
32
18
30
15
40
19
66
14
45
74
31
41
27
44
23
16
31
19
18
40
21
24
19
43
25
16
30
24
25
38
41
67
54
38
14
19
20
31
22
21
44
18
22
25
36
24
43
18
38
25
24
33
30
51
22
18
22
34
22
13
25
52
Little Falls, N. Y
Scottsbluff, Nebr
38
34
27
Lynbrook.N. Y
Mamaroneck, N. Y .
Berlin, N. H
Claremont, N. H
Dover, N. H
Middletown, N. Y
North Tonawanda, N. Y
Ogdensburg, N. Y
Olean, N. Y
29
Laconia, N. H
18
Oneida, N. Y i
Oneonta, N. Y
17
16
Asbury Park, N.J
Bergenfield, N. J
Oswego, N. Y
Peekskill, N. Y
Plattsburg, N. Y
Port Chester, N. Y .
Burlington. N. J
Carteret, N. J
Cliffside Park, N. J
29
21
Collingswood, N. J
Cranford Township, N. J
Dover, N. J
Rensselaer, N. Y
Rockville Centre, N. Y
Saratoga Springs, N. Y
Scarsdale, N. Y .
19
44
22
Gloucester City, N. J
Harrison, N. J
Hawthorne, N. J
Hillside Township, N. J
Watervliet, N. Y
Burlington, N. C
22
39
Linden, N. J
Lodi, N. J
Long Branch, N. J
Elizabeth City, N. C
Fayetteville, N. C
Gastonia, N. C
Goldsboro, N. C
19
67
45
Hickory, N. C
Millville, N. J
Kinston, N. C
24
17
Reidsville, N. C
North Plainfield, N. J
Nutley. N.J
Salisbury, N. C
Shelby, N. C
31
19
Pennsauken Township, N. J
Phillipsburg, N. J
Statesville, N. C
Thomasville, N. C
23
Wilson, N. C
Rahway, N. J
21
Red Bank, N. J
Ridgefleld Park, N.J
Minot, N. Dak
Roselle, N. J
Rutherford, N. J
South River, N. J
Chillicothe, Ohio
Westfleld, N.J
Hobbs, N. Mex
21
Santa Fe, N. Mex
Batavia, N. Y ,
Cohoes, N. Y-._
Cortland, N. Y
24
Dunkirk, N. Y
Endicott, N. Y
Floral Park, N. Y._.
13
Freeport, N. Y
Fulton, N. Y
Garden City, N. Y
Geneva, N. Y
Glen Cove, N. Y
Glens Falls, N. Y
10
Gloversville, N. Y.
Hornell, N. Y
11
Hudson, N. Y__.
20
16
Ithaca, N. Y
Johnson City, N. Y
17
25
Lackawanna, N. Y
I'hickasha. (>kla._
18
28
Table 13. — Number of police department employees, April 30, 1950, cities with
population from 2,500 to 25,000 — Continued
CITIES WITH 10,000 TO 25,000 INHABITANTS— Continued
Durant, Okla
El Reno, Okla
Guthrie, Okla
Law ton. Okla
McAlester, Okla
Norman, Okla
Okmulgee, Okla
Ponca City, Okla
Sapulpa, Okla
Seminole, Okla
Shawnee, Okla
Stillwater, Okla
Wewoka , Okla
Astoria, Oreg
Bend, Oreg
Eugene, Oreg
Klamath Falls, Oreg
Medford, Oreg
Abington Township, Pa
Ambridge, Pa
Arnold, Pa
Beaver Falls, Pa
Bellevue, Pa
Berwick, Pa
Braddock, Pa
Bradford, Pa.___j
Bristol, Pa
Butler, Pa
Canonsburg, Pa
Carbondale, Pa
C arl isle, Pa
Carnegie, Pa
Chambersburg, Pa
Charleroi, Pa
Cheltenham Township, Pa
Clairton, Pa
Coatesville, Pa
Columbia, Pa
Connellsville, Pa
Conshohocken, Pa
Coraopolis, Pa
Darby, Pa
Dickson City, Pa
Donora, Pa
Dormont, Pa
Du Bois, Pa
Dunmore, Pa
Duquesne, Pa
Ellwood City, Pa
Farrell, Pa
Greensburg, Pa
Hanover, Pa
Hanover Township, Pa
Harrison Township, Pa
Homestead, Pa.._
Indiana, Pa
Jeannette, Pa
Kingston, Pa
Lansdo wne, Pa
Latrobe, Pa
Lewistown, Pa. . _ _ __
Lock Haven, Pa_
Mahanoy City, Pa
McKees Rocks, Pa
Meadville, Pa
Monessen, Pa
Mount Carmel, Pa,
Mount Lebanon Township, Pa
Munhall.Pa....
Nanticoke, Pa
New Kensingti n, I'm
North Braddock, Pa
Oil City, Pa
Phoenix ville, Pa
Pittston, Pa
Plains Township, Pa
Plymouth, Pa
Pottstown, Pa
Pottsville,
Staler Township, Pa..
Shamokin, Pa
Shenandoah, Pa
Steelton, Pa
Stowe Township, Pa...
Sunbury, Pa
Swissva'le, Pa
Tamaqua, Pa
Cniontown, Pa
Vandergiift, Pa...
Warren, Pa
Waynesboro, Pa
West Chester, Pa_.
Biistol, R. I
Cumberland. R. I
Johnston, R. I
Lincoln, R. I
North Providence, R. I
Westerly, R.I
West Warwick, R. I...
Anderson, S. C
Florence, S. C
Greenwood, S. C
Orangeburg, S. C
Rock Hill, S. C
Sumter, S. C
Aberdeen, S. Dak
Huron, S. Dak
Mitchell, S. Dak...
Rapid City, S. Drk_.._
Watertown, S. Dak
Bristol, Term
Clarksville, Term
Cleveland, Term
Columbia, Tenn
Dyersburg, Tenn
Jackson, Tenn
Kingsport, Tenn
Bay Town, Tex
Big Spring, Tex
Borger, Tex
Brownsville, Tex
Brown wood, Tex
Bryan, Tex
Corsieana. Tex
Del Rio, Tex
Denison, Tex
Denton, Tex
Greenville, Tex
Harlingen, Tex
Highland Park, Tex....
Longview, Tex
Marshall, Tex
McAllen.Tex
Palestine, Tex
Pampa, Tex
Paris, Tex
Sherman, Tex___
Sweetwater, Tex
Temple, Tex
Terrell, Tex
Texarkana, Tex
University Park, Tex..
Victoria, Tex
Logan, Utah
Provo, Utah
Rutland, Vt
Charlottesville, Va
Fredericksburg, Va
Martinsville, Va
Staunton, Va
Suffolk, Va
Winchester, Va
Aberdeen, Wash
Bremerton, Wash
Hoquiam, Wash
Longview, Wash..
29
Table 13.
■Number of -police department employees, April SO, 1950, cities with
population from 2,500 to 25,000 — Continued
CITIES WITH 10,000 TO 25,000 INHABITANTS— Continued
City
Number of
police de-
partment
employees
City
Number of
police de-
partment
employees
18
61
34
23
18
26
30
11
18
9
16
13
11
14
14
30
Marinette, Wis
Walla Walla, Wash
Marshfield, Wis
Wenatchee, Wash .
Menasha, Wis. ..
Beckley, W. Va
Ncenah, Wis
Bluefield, W. Va
South Charleston, W. Va
Chippewa Falls, Wis _
Cudahy, Wis
CITIES WITH 2,500 TO 10,000 INHABITANTS
6
11
10
10
7
11
15
6
Attalla, Ala
8
6
7
4
5
4
3
8
6
7
4
10
3
14
6
4
4
7
5
22
5
6
18
17
10
6
8
12
3
6
7
1
12
7
11
7
17
13
15
9
5
9
15
4
6
4
4
8
5
Monticello, Ark
Fayette, Ala
Nashville, Ark
Florala, Ala- .. _. ..
Osceola, Ark
Hartselle, Ala...
Homewood, Ala
Jacksonville, Ala
Jasper, Ala...
Lanett, Ala..
Ozark, Ala
Stuttgart, Ark.
Piedmont, Ala
Prichard, Ala..
Roanoke, Ala..
Sheffield, Ala
Sylacauga, Ala.
Talladega, Ala
Tarrant City, Ala
Troy, Ala.
Tuscumbia, Ala
Tuskegee, Ala...
Brea, Calif
Union Springs, Ala - .
Calexico, Calif..
Bisbee, Ariz
Carmel Bv The Sea, Calif .
8
Chico, Calif
Chino, Calif
Flagstaff, Ariz...
Chula Vista, Calif
19
Colton, Calif
19
Nogales, Ariz..
14
8
Culver Citv, Calif
36
Delano, Calif
11
5
El Cerrito, Calif
23
15
18
15
Conway, Ark
Escondido, Calif
13
30
Table 13. — Number of police department employees, April SO, 1950, cities with
population from 2,500 to 25,000 — Continued
CITIES WITH 2,500 TO 10,000 INHABITANTS— Continued
Exeter, Calif
Fillmore, Calif
Fort Bragg, Calif
Gardens, Calif
Qilroy, Calif
Glendora, Calif
Grass Valley, Calif
Hanford, Calif
Hawthorne, Calif
Hayward, Calif
Healdsburg, Calif
Hemet, Calif
Hermosa Beach, Calif ..
Hillsborough, Calif
Hollister, Calif
Huntington Beach, Calif
Laguna Beach, Calif
La Mesa, Calif
La Verne. Calif
Lindsay, Calif
Livermore, Calif
Lompoc, Calif
Los Gatos, Calif
Madera, Calif
Manhattan Beach, Calif
Martinez, Calif
Marysville, Calif
Menlo Park, Calif
Mill Valley, Calif
Montebello, Calif
Monterey Park, Calif
Mountain View, Calif
Napa, Calif
Needles, Calif
Newport Beach, Calif
North Sacramento, Calif...
Oakdale, Calif
Oceanside, Calif
Orange, Calif.
Oroville, Calif
Oxnard, Calif
Pacific Grove, Calif
Palm Springs, Calif
Paso Robles, Calif
Petaluma, Calif
Piedmont, Calif
Pittsburg, Calif
Placerville, Calif
Porterville, Calif
Red Bluff, Calif
Redding, Calif
Reedley, Calif
Roseville, Calif
San Anselmo, Calif
San Bruno, Calif
San Carlos, Calif
San Fernando, Calif
Sanger, Calif
San Luis Obispo, Calif
San Marino, Calif
San Rafael, Calif
Santa Clara, Calif
S;mt;i Maria, Calif
Santa Paula, Calif
Sausalito, Calif
Sclma, Calif
I ire, i ';tlif
•Ml. I Jil
South San I i:n .
Sunnyvale, Calif
Taft, Calif.
Torrance, Calif
Tracy, Calif
Tulare, Calif
Turlocfc. Calif-
fjkiah, Calif
Upland, Calif
Visalia. Calif
Watson ville, Calif
Woodland, Calif _.
Yuba City, Calif
Alamosa, Colo
Aurora, Colo
Brighton, Colo
Canon City, Colo
Durango, Colo
Englewood, Colo
Florence, Colo
Fort Morgan, Colo
Golden, Colo....
La Junta, Colo
Lamar, Colo
Las Animas, Colo
Leadville, Colo
Longmont, Colo
Loveland, Colo
Monte Vista, Colo..
Montrose, Colo
Rocky Ford, Colo
Salida, Colo
Sterling, Colo
Walsenburg, Colo
Danielson, Conn
Groton, Conn
Jewett City, Conn.
Putnam, Conn
Kockville, Conn
Southington, Conn
Stafford Springs, Conn...
Winsted, Conn
Dover, Del
Laurel, Del
Milford, Del
Newark, Del
Newcastle, Del
Seaford, Del
Apalachicola, Fla
Auburndale, Fla
Bartow, Fla
Belle Glade, Fla
Cocoa, Fla
Coral Gables. Fla
Dania, Fla
De Funiak Springs, Fla..
DeLand, Fla
Delray Beach, Fla
Eustis, Fla
Fcrdinandina, Fla
Fort Pierce, Fla
Haines City, Fla
Hialeah, Fla
Hollywood, Fla
Homestead, Fla
Jacksonville Beach, Fla_.
Kissimmee, Fla
Lake Wales, Fla
Lake Worth, Fla
Leesburg, Fla
Live Oak, Fla
Madison, Fla
Marianna, Fla
Melbourne, Fla
New Smyrna Beach, Fla
Ocala, Fla
Pahokee, Fla
Palatka, Fla
Palm Beach, Fla
Perry, Fla.. —
Plant City, Fla
Pompano Beach, Fla
Quincy, Fla
Scoring, Fla
Tarpon Springs, Fla
Vero Beach, Fla
Wauchula, Fla
Winter Haven, Fla
31
Table 13. — Number of police department employees, April SO, 1950, cities with
population from 2,500 to 25,000 — Continued
CITIES WITH 2,500 TO 10,000 INHABITANTS— Continued
City
Winter Park, Fla
Americus, Ga._.
Bainbridge, Ga
Barnesville, Ga
Baxley, Ga
Buford, Ga
Cairo, Ga
Calhoun, Ga
Camilla, Ga
Canton, Ga
Carrollton, Ga
Cartersville, Ga
Cedartown, Ga
College Park, Ga
Commerce, Ga
Cordele, Ga
Covington, Ga
Cuthbert, Ga
Douglas, Ga
Douglasville, Ga
Eastman, Ga
Elberton, Ga
Fitzgerald, Ga
Fort Valley, Ga
Hapeville, Ga
Hawkinsville, Ga
Hogansville, Ga
Jesup, Ga
Manchester, Ga
Marietta, Ga
Milledgeville, Ga
Millen, Ga -
Monroe, Ga
Newnan, Ga
Pelham, Ga
Porterdale, Ga
Quitman, Ga
Rockmart, Ga
Rossville, Ga
Sandersville, Ga
Statesboro, Ga
T'homaston, Ga
Thomson, Ga
Tifton, Ga
Toccoa, Ga
Washington, Ga
AVest Point, Ga
Alameda, Idaho
Blackfoot, Idaho
Burley, Idaho
Caldwell, Idaho
Emmett, Idaho
Gooding, Idaho
Jerome, Idaho
TIeliogg, Idaho
Malad City, Idaho...
Montpelier, Idaho
Moscow, Idaho
Payette, Idaho
Preston, Idaho
Rexburg, Idaho
Rupert, Idaho
St. Anthony, Idaho..
Sandpoint, Idaho
Wallace, Idaho
Weiser, Idaho
Abingdon, Dl
Aledo, 111
Anna, 111
Arlington Heights, 111
Barrington, 111
Batavia, 111
Beardstown, HI
Bellwood, 111
Belvidere, 111
Benton, 111
Bradley, HI
d°— 50 5
Number of
police de-
partment
employees
City
Number of
police de-
partment
employees
Bushnell, 111..
Carbondale, 111
Carlinville, 111
Carlyle, 111
Carmi, 111 .
■* 3
Casev, 111
Charleston, 111
Chester, 111
6
3
Clinton, 111.
Collinsville, 111. ..
9
3
Crystal Lake, 111
6
De Kalb, 111
Des Plaines, 111 .
14
Dolton, 111
2
10
Du Quoin, 111
5
East Alton, 111. ..
6
East Peoria, 111. .
14
Edwardsville.Ill
8
Effingham, 111
7
Eldorado, 111
4
9
Fairfield, 111
5
Flora, 111 ..
7
Franklin Park, 111
10
Galena, 111
4
Galva, 111
3
6
2
Gillespie, 111
4
16
Glen Ellyn, 111
12
6
5
Harvard, 111
5
6
Herrin, 111.
4
Highland, 111
4
Hiuhwood, 111
5
Hillsboro, 111 .
5
Hinsdale, 111 . .
11
6
5
6
2
Johnston City, 111
3
9
8
19
3
6
2
5
Litchfield, 111
5
4
8
9
12
13
5
Marseilles, 111
3
9
7
8
10
2
Monticello, 111
2
6
3
7
3
6
3
9
2
1
Normal. Ill - - - -
9
32
Table 13. — Number of police department employees, April SO, 1950, cities with
population from 2,500 to 25,000 — Continued
CITIES WITH 2,500 TO 10,000 INHABITANTS— Continued
City
Number of
police de-
partment
employees
City
Number of
police de-
partment
employees
North Chicago, 111
10
15
4
3
5
11
4
5
11
4
2
3
7
7
3
22
10
13
5
6
5
3
7
7
3
5
19
2
5
3
2
3
16
5
4
13
9
2
5
4
7
3
2
3
8
6
8
4
4
5
5
5
5
12
9
6
3
9
4
4
10
5
3
8
4
9
6
4
7
2
Olney, 111
6
Pana, 111 ..
9
Paris 111
7
Peru 111
6
Pittsfield, 111
2
7
2
2
5
9
Rochelle, 111 -
9
Rock Falls, 111
3
4
10
Salem, 111
3
10
Tell City, Ind
5
Silvis, 111
g
13
16
9
16
12
4
9
3
5
2
Vandalia, 111
4
3
Villa Park, 111
7
3
6
12
8
3
Wpstville, HI
10
White Hall, 111
4
2
Woodstock, 111 ..
4
Zion, 111
9
5
4
4
2
4
7
4
2
5
4
2
3
3
5
3
7
4
6
4
3
6
5
3
4
8
iloliart, IihI
Nevada, Iowa
3
33
Table 13. — Number of police department employees, April 30, 1950, cities with
population from 2,500 to 25,000 — Continued
CITIES WITH 2,500 TO 10,000 INHABITANTS— Continued
New Hampton, Iowa...
Oehvein, Iowa
Onawa, Iowa
Osage, Iowa
Osceola, Iowa
Pella, Iowa
Perry, Iowa
Red Oak, Iowa
Rock Rapids, Iowa
Sac City, Iowa
Sheldon, Iowa
Shenandoah, Iowa
Spencer, Iowa
Storm Lake, Iowa
Tama, Iowa
Vinton, Iowa
Washington, Iowa
Waukon, Iowa
Waverly, Iowa
Webster City, Iowa
West Des Moines, Iowa
Winterset, Iowa
Abilene, Kans
Anthony, Kans
Augusta, Kans
Baxter Springs, Kans. _ .
Belleville, Kans
Beloit, Kans
Caney, Kans
Cher;vvale, Kans
Clay Center, Kans
Columbus, Kans
Concordia, Kans
Council Grove, Kans...
Dodge City, Kans
Eureka, Kans
Fredonia, Kans
Galena, Kans
Garden City, Kans
Garnett, Kans
Girard, Kans
Goodland, Kans
Great Bend, Kans
Hays, Kans
Herington, Kans
Hiawatha. Kans
Hoisington, Kans
Holton, Kans
Horton, Kans
Iola, Kans
Junction City, Kans
Kingman, Kans
Larned, Kans
Maiysville, Kans
MePherson, Kans
Neodesha, Kans
Norton, Kans
Olathe, Kans
Osawatomie, Kans
Paola, Kans
Pratt, Kans
Russell, Kans
Wellington, Kans
Winfleld, Kans
Bardstown, Ky
Bellevue, Ky
Carrollton, Ky
Catlettsburg, Ky
Corbin, Ky
Cumberland, Ky
Cynthiana, Ky
Danville, Ky
Dawson Springs, Ky
Dayton, Ky
Earlington, Ky
Elizabethtown, Ky
Elsmere, Ky
Franklin, Ky
Fulton, Ky
Georgetown, Ky
Glasgow, Ky
Harrodsburg, Ky
Hazard, Ky
Irvine, Ky
Jenkins, Ky
Lebanon, Ky
Ludlow, Ky
Madisonville, Ky . .
Mayfleld, Ky
Maysville, Ky
Morganfield, Ky
Mount Sterling, Ky..
Murray, Ky
Nicholas ville, Ky
Paris, Ky
Pikeville, Ky
Pine ville, Ky
Princeton, Ky
Providence, Ky
Richmond, Ky
Russellville, Ky. . .
Shelbyville, Ky
Somerset, Ky
Versailles, Ky
Winchester, Ky
Abbeville, La
Bastrop, La
Bossier City, La
Bunkie, La._ „
Crowley, La
De Quincy, La
De Ridder, La..
Donaldson ville, La...
Ferriday, La
Franklin, La
Houma, La
Jeanerette, La
Jennings, La
Jonesboro, La
Kaplan, La
Minden, La
Morgan City, La
Natchitoches, La
Opelousas, La
Pineville, La
Plaquemine, La
Rayne, La
Ruston, La
St. Martinville, La...
Slidell, La
Springhill, La
Tallulah, La
Thibodaux, La
Ville Platte, La
West Monroe, La...
Winnfield, La
Belfast, Maine.
Brewer, Maine
Brunswick, Maine. ..
Calais, Maine
Eastport, Maine
Fairfield, Maine
Fort Fairfield, Maine
Gardiner, Maine
Hallowell, Maine
Old Town, Maine
Presque Isle, Maine..
Rockland, Maine
Rumford, Maine
Saco, Maine
Brunswick, Md
Crisfield, Md
Easton, Md
Elkton, Md
Frostburg, Md
34
Table 13. — Number of police department employees, April SO, 1950, cities with
population from 2,500 to 25,000 — Continued
CITIES WITH 2,500 TO 10,000 INHABITANTS— Continued
City
Number of
police de-
partment
Greenbelt, Md
Ha\re de Grace, Md
Hyattsville, Md
Laurel, Md
Mount Rainier, Md
Pocomoke City, Md...
Takoma Park, Md
Westernport, Md
Westminster, Md
Abington, Mass...
Amherst, Mass
Auburn, Mass --
Ayer, Mass .
Barnstable, Mass
Blackstone, Mass
Bridgewater, Mass
Canton, Mass.
Concord, Mass
Dalton, Mass
Dartmouth, Mass
Dracut, Mass
Franklin, Mass
Great Barrington, Mass
Hingham, Mass
Hopedale, Mass
Hudson, Mass
Ipswich, Mass
Lee, Mass
Longmeadow, Mass
Ludlow, Mass
Mansfield, Mass
Maynard, Mass
Middleborough, Mass
Millbury, Mass
Montague, Mass
Nantucket, Mass
North Andover, Mass
Orange, Mass
Palmer, Mass
Randolph, Mass
Rockland, Mass..
Hockport, Mass
Somerset, Mass ..
South Hadley, Mass
Spencer, Mass
Stoughton, Mass
Oxbridge, Mass
Walpole, Mass
Ware, Mass
Whitman, Mass
Winchendon, Mass
Albion, Mich
Allegan, Mich
Allen Park, Mich
Alma, Mich
Bad Axe, Mich
Belding, Mich
Berkley, Mich
Bessemer, Mich
Big Rapids, Mich -.
Boyne City, Mich
Buchanan, Mich
Cadillac, Mich
Caro, Mich
Center Line, Mich__
Charlotte, Mich...
Cheyboygan, Mich
Clawson, Mich...
Cold water, Mich
Crystal Falls, Mich
Dowagiac, Mich
Durand, Mich, .
East Detroit, Mich
Easl I irand Rapids, Mich
Easl Lansing, Mich
Eaton Rapids, Mich
Fenton, Mich
Fremont, Mich
Garden City, Mich
Gladstone, Mich
Grand Haven, Mich._
Grand Ledge, Mich
Greenville, Mich
Grosse Pointe, Mich
Grosse Pointe Farms, Mich.
Grosse Pointe Woods, Mich
Hancock, Mich
Hastings, Mich
Hillsdale, Mich
Houghton, Mich
Howell, Mich
Inkster. Mich
Ionia, Mich
Iron River, Mich
Ishpeming, Mich
Kingsford; Mich
L'Anse, Mich
Lapeer, Mich
Ludington, Mich
Manistee, Mich
Manistique, Mich
Marine City, Mich
Marshall, Mich
Mason, Mich
Melvindale, Mich
Mount Pleasant, Mich
Munising, Mich
Negaunee, Mich
Newberrv, Mich
Northvilie, Mich
Norway, Mich
Otsego, Mich
Petoskey, Mich
Pleasant Ridge, Mich
Plymouth, Mich
Rochester, Mich
Rogers City, Mich
Romeo, Mich
RoseviUe, Mich
St. Clair, Mich
St. Ignace, Mich
St. Johns, Mich
St. Joseph, Mich
St. Louis, Mich
South Haven, Mich
Sturgis, Mich
Tecumseh, Mich
Three Rivers, Mich
Trenton, Mich
Wakefield, Mich
Wayne, Mich
Zeeland, Mich
Alexandria, Minn
Anoka, Minn
Bayport, Minn
Bemidji, Minn
Benson, Minn
Blue Earth, Minn
Breckenridne, Minn
Chisholm, Minn..
Cloquet, Minn
Columbia Heights, Minn..
Crookston, Minn
Crosbv, Minn
Detroit Lakes, Minn
East Grand Forks, Minn. .
Edina, Minn
F.lv, .Minn
Eveleth, Minn
Fairmont, Minn
Glenwood, Minn
Grand Rapids, Minn
Hastings, Minn
Hopkins, Minn
Hutchinson, Minn..
International Falls, Minn..
35
Table 13. — Number of police department employees, April 30, 1950, cities with
population from 2,500 to 25,000 — Continued
CITIES WITH 2,500 TO 10,000 INHABITANTS— Continued
City
Number of
police de-
partment
employees
City
Number of
police de-
partment
employees
1
4
8
4
5
6
13
3
9
4
3
3
10
3
5
11
4
9
7
4
4
3
2
4
8
8
2
6
5
4
5
4
9
2
7
5
5
4
12
5
12
9
7
3
8
6
4
4
11
4
5
10
2
4
3
6
14
6
3
10
5
4
2
2
15
10
7
3
1
4
3
7
6
10
1
5
4
6
3
Fayette, Mo
2
9
2
6
5
4
3
3
11
2
10
4
5
5
4
3
10
4
5
16
9
4
7
2
4
2
2
7
2
4
6
15
4
5
6
10
3
10
12
2
4
9
4
3
4
3
10
3
7
6
4
12
5
11
5
4
3
3
4
6
7
Chillicothe, Mo ..
2
Crystal City, Mo
4
De Soto, Mo
West Point, Nebr
2
36
Table 13. — Number of police department employees, April 30, 1950, cities with
population from 2,500 to 25,000 — Continued
CITIES WITII 2,500 TO 10,000 INHABITANTS— Continued
City
Number of
police de-
partment
employees
City
Number of
police de-
partment
employees
\1
5
52
9
5
7
6
9
5
3
5
6
14
12
2
16
13
4
11
13
4
12
12
12
12
2
7
18
16
15
15
23
2
25
17
3
22
3
8
8
5
22
10
12
5
26
11
14
4
6
11
7
4
13
8
21
13
13
5
14
9
15
8
6
5
10
7
18
4
2
5
26
4
8
18
10
10
Park Ridge, N. J
3
10
Ely, Nev
Penns Grove, N. J ___
11
9
Sparks, Nev
5
Princeton, N. J
18
4
Lebanon, N. H
Littleton, N. H
Puritan, N. J
Ridgefield, N. J
4
13
Milford, N. H
Newport, N. H
River Edge, N. J
Roselle Park, N. J
12
12
Salem, N. J
Sayreville, N. J
Secaucus, N. J
Somerville, N. J
South Plainfield, N. J
13
Bogota, N. J
19
10
Totowa, N. J
9
Butler, N. J
Ventnor City, N. J
2S
Caldwell, N. J
Cape May, N. J
Vineland, N. J
Wallington, N. J
Wanaque, N. J__.
Washington, N.J
West Caldwell, N. J
10
Chatham, N.J
3
6
West Paterson, N. J
Westville, N. J
Westwood, N. J
Wharton, N. J
Wildwood, N. J
4
7
Last Paterson, N. J
11
2
Egg Harbor City, N. J
Woodbury, N. J
16
4
Fairview, N.J
Wood Ridge, N. J.
15
5
Fort Lee, N.J
13
6
Carlsbad, N. Mex
16
5
8
Glen Ridee, N. J
6
15
10
6
4
Haddon Heights, N. J
4
6
6
Hillsdale, N.J.
12
Albion, N. Y
6
Keyport, N. J
Lambertville, N. J
Amityville, N. Y
Babylon, N. Y
11
12
4
Little Ferry, N. J .
Ballston Spa, N. Y
Bath. N. Y
Brockport, N. Y
Bronxville, N. Y
Canajoharie, N. Y
Canandaigua, N. Y
Canastota, N. Y
Canisteo, N. Y
Canton, N. Y...
2
Madison, N. J
Manville, N. J
10
5
20
Matawan, N.J
Maywood, N. J
Merehantville, N. J __
2
12
4
2
4
Midland Park, N. J....
Carthage, N. Y
Catskill, N. Y
Cobleskill, N. Y.
5
Milltown, N. J
New Milford, N.J... .
7
4
Cooperstown, N. Y _.
Corinth, N. Y
2
North Arlington, N.J
Northfleld, N.J
2
8
North Haledon, N. J
Oaklvn, N.J
Dansville, N. Y
Depew, N. Y
Dobbs Ferry, N. Y .....
Dolgeville, N. Y._
East Aurora, N. Y
East Rochester, N. Y
East Syracuse, N. Y
Ellenville, N. Y
5
8
Ocean City, N. J
Oceanport, N.J
Oradefi, N. J
Palisades Park, N. J
Palmyra, N. J.
Paramus, N. J
13
3
9
5
5
9
37
Table 13. — Number of police department employees, April SO, 1950, cities with
population from 2,500 to 25,000 — Continued
CITIES WITH 2,500 TO 10,000 INHABITANTS— Continued
Elmira Heights, N. Y__
Elmsford, N. Y
Falconer, N. Y
Fort Edward, N. Y
Fort Plain, N. Y
Frankfort, N. Y
Fredonia, N. Y
Goshen, N. Y
Gouverneur, N. Y
Gowanda, N. Y...
Granville, N. Y
Green Island, N. Y
Greenport, N. Y
Hamburg, N. Y
Hastings-on-Hudson, N
Haverstraw, N. Y
Herkimer, N. Y
Highland Falls, N. Y...
Homer, N. Y
Hoosick Falls, N. Y
Horseheads, N. Y
Hudson Falls, N. Y
Eion, N. Y
Irvington, N. Y
Lake Placid, N. Y
Lancaster, N. Y
Larchmont, N. Y
Le Roy, N. Y
Liberty, N. Y
Lindenhurst, N. Y
Liverpool, N. Y
Long Beach, N. Y
Lowville, N. Y
Lyons, N. Y
Malone, N. Y
Malverne, N. Y
Mechanicville, N. Y
Mecftna, N. Y
Mohawk, N. Y
Monticello, N. Y
Mount Kisco, N. Y
Mount Morris, N. Y
Newark, N. Y
New York Mills, N. Y__
North Pelham, N. Y____
Northport, N. Y
North Tarrytown, N. Y
Norwich, N. Y
Nyack, N. Y
Owego, N. Y
Pelham Manor, N. Y...
Penn Yan, N. Y
Perry, N. Y
Pleasantville, N. Y
Port Jervis, N. Y
Potsdam, N. Y
Rye, N. Y
Sag Harbor, N. Y
Salamanca, N. Y
Saranac Lake, N. Y
Saugerties, N. Y
Scotia, N. Y
Seneca Falls, N. Y
Sidney, N. Y
Silver Creek, N. Y
Sloan, N. Y.___
Solvay, N. Y
Southampton, N. Y
South Glens Falls, N. Y
Spring Valley, N. Y
Springville, N. Y
Suffern, N. Y
Tarrytown, N. Y
Ticonderoga, N. Y
Tuckahoe, N. Y
Tupper Lake, N. Y
Walden, N. Y__ __
Walton, X. Y ..
Wappingers Falls, N. Y—
Warsaw, N. Y
Waterford, N. Y
Waterloo, N.Y
Watkins Glen, N. Y
Waverly,N. Y
Wellsville,N. Y
Westfleld.N.Y
Whitehall, N. Y
Whitesboro, N. Y
Yorkville, N. Y
Albermarle, N. C
Asheboro, N. C
Beaufort, N. C
Belmont, N. C
Bessemer City, N. C
Brevard, N. C
Canton, N. C
Chapel Hill, N.C
Clinton, N. C
Dunn, N. C
Edenton, N. C
Elkin, N. C
Forest City, N. C
Graham, N. C
Hamlet, N.C
Henderson, N. C
Hendersonville, N. C
Kings Mountain, N. C
Laurinburg, N. C
Lenoir, N. C
Lincolnton, N. C
Lumberton, N. C
Marion, N. C
Monroe, N. C
Morehead City, N. C
Morganton, N. C
Mount Airy, N. C
Newton, N.C
North Wilkesboro, N.C.
Oxford, N. C
Roanoke Rapids, N. C
Rockingham, N. C
Roxboro, N. C
Sanford, N. C
Scotland Neck, N. C
Smithfleld, N. C
Southern Pines, N. C
Spencer, N. C
Spindale, N. C
Tarboro, N. C
Valdese, N. C
Washington, N. C
Waynesville, N. C
Wh'iteville, N. C
Williamston, N. C
Devils Lake, N. Dak
Dickinson, N. Dak
Grafton, N. Dak
Jamestown, N. Dak
Mandan, N. Dak
Valley City, N. Dak
Wahpeton, N. Dak
Williston, N. Dak
Amherst, Ohio
Athens, Ohio
Barnesville, Ohio
Bay, Ohio
Bedford, Ohio
Bellefontaine, Ohio
Bellevue, Ohio
Berea, Ohio
Bexley, Ohio
Bowling Green, Ohio
Bridgeport, Ohio
Bryan, Ohio
Bucyrus, Ohio
Cadiz, Ohio
38
Table 13. — Number of police department employees, April 30, 1950, cities with
population from 2,500 to 25,000 — Continued
CITIES WITH 2,500 TO 10,000 INHABITANTS— Continued
City
Number of
police de-
partment
employees
City
Number of
police de-
partment
employees
6
4
7
8
10
8
3
9
10
8
5
4
12
5
4
5
11
4
6
5
11
5
10
3
6
5
5
13
3
9
5
7
8
10
6
5
11
6
5
3
13
5
10
6
9
10
3
6
3
10
4
8
7
3
5
2
4
5
4
2
10
15
7
2
4
8
5
8
10
11
3
15
St. Bernard, Ohio
St. Clairsville, Ohio
St. Marys, Ohio
14
3
6
4
2
Shelby, Ohio
9
Clyde, Ohio
Silverton, Ohio
South Euclid, Ohio
Tallmadge, Ohio
Tipp City, Ohio
Toronto, Ohio
Uhrichsville, Ohio
Wauseon, Ohio
AYellston, Ohio ..
Willard, Ohio
5
Alva, Okla . . .
5
7
3
3
14
3
2
6
3
10
2
12
3
19
5
9
6
1
7
3
7
Hollis, Okla
3
3
4
3
4
Madill. Okla
4
4
14
4
4
6
10
\ 5
3
4
3
5
2
4
4
Rocky Kiver, Ohio ---
Tonkawa, Okla
7
39
Table 13. — Number of police department employees, April SO, 1950, cities with
population from 2,500 to 25,000 — Continued
CITIES WITH 2,500 TO 10,000 INHABITANTS— Continued
City
Number of
police de-
partment
employees
City
Number of
police de-
partment
employees
5
3
3
1
6
13
8
11
3
9
5
15
5
4
13
6
6
10
9
5
6
5
6
15
15
12
5
8
4
11
10
4
2
6
2
4
2
4
5
4
6
2
3
5
9
2
5
1
7
2
3
6
7
3
14
6
5
2
5
9
2
2
4
4
3
3
2
5
6
1
8
2
8
9
6
2
4
2
4
6
3
4
3
East Landsdowne, Pa
4
1
4
15
6
5
12
5
Elizabeth, Pa
4
2
5
2
3
7
11
4
4
Forest City, Pa
3
7
6
6
12
3
3
2
1
6
7
4
2
6
6
2
6
8
4
4
1
4
3
4
12
1
3
Blakrly, Pa
3
4
4
7
3
13
5
8
2
3
Lehighton, Pa
10
3
Li-.visburg, Pa
4
3
5
1
M anheim, Pa
2
8
3
2
3
2
4
9
2
Curwensville, Pa
Mi<idletown, Pa
3
40
Table 13. — Number of police department employees, April SO, 1950, cities with
population from 2,500 to 25,000 — Continued
CITIES WITH 2,500 TO 10,000 INHABITANTS— Continued
City
Number of
police de-
partment
employees
City
Number of
police de-
partment
employees
13
2
-1
9
8
6
1
10
6
5
3
1
2
2
5
6
3
3
3
3
4
7
6
4
6
3
2
2
2
5
5
4
1
1
4
10
5
11
3
3
3
4
5
2
5
2
6
4
5
5
6
11
9
12
3
3
4
3
7
1
1
1
1
3
2
3
10
7
2
1
2
9
5
8
5
5
Titusville, Pa
9
4
5
10
6
3
5
4
1
5
2
Xarberth, Pa
5
11
3
2
6
North Charleroi, Pa
6
North East, Pa
5
3
West York, Pa
2
Olvphant, Pa
13
Oxford, Pa
2
6
5
7
15
1
Barrington, R. I
8
5
East Greenwich, R. I
6
9
Abbeville, S. C
8
14
Bamberg, S. C
3
3
5
8
5
16
6
Chester, S. C
Clinton, S. C
Clover, S. C...
12
10
6
Conway, S. C
Darlington, S. C
Dillon, S. C
12
13
St. Clair, Pa
7
Easley. S. C
7
4
Fort Mill, S. C.
7
Gaffney, S. C
Georgetown, S. C
Greer, S. C
17
12
Sharon Hill, Pa
12
11
4
7
7
15
Laurens, S. C
Marion, S. C
Mullins, S. C
Newberry, S. C
19
7
7
South Fork, Pa
14
North Augusta, S. C
Summerville, S. C
3
3
13
Walhalla, S. C
4
Whitmire, S. C...
6
3
State College, Pa __.
York, S. C
6
6
3
Summit Hill, Pa
Deadwood, S. Dak
4
41
Table 13. — Number of police department employees, April 30, 1950, cities with
population from 2,500 to 25,000 — Continued
CITIES WITH 2,500 TO 10,000 INHABITANTS— Continued
City
Number of
police de-
partment
employees
City
Number of
police de-
partment
employees
Hot Springs, S. Dak
6
6
8
3
5
10
4
6
4
9
6
7
5
5
7
6
6
16
4
8
5
8
11
2
7
7
4
4
5
12
6
5
11
4
14
5
12
6
4
3
13
3
3
4
5
13
6
7
13
2
3
8
1
4
4
2
4
7
3
4
4
5
5
3
3
5
7
7
2
4
1
3
4
1
3
2
3
5
5
8
3
Lead, S. Dak
Dublin, Tex
Milbank, S. Dak
Eastland, Tex
Mobridge, S. Dak
Pierre, S. Dak :
Electra, Tex
SNseton, S. Dak.
S turns, S. Dak
Vermillion, S. Dak
i,
Yankton, S. Dak
14
2
Athens, Tenn
Brownsville, Tenn . -.
Clinton, Tenn
2
4
11
Cookeville, Tenn
Covington, Tenn. __
Dickson, Tenn . .
F.lizabethton, Tenn
Erwin, Term.. ... . .
11
2
1
3
3
5
15
Etowah, Tenn .. .. ... ..
Eayetteville, Tenn..
Franklin, Tenn
Gallatin, Tenn
Oreenev-ille, Tenn
Iiarriman, Tenn
Kingsville, Tex
Lamesa, Tex
Lampasas, Tex ~ ~
7
Liberty, Tex
Llano, Tex,
3
Lufkin, Tex_.
13
\ i U '"'ii t
Luling, Tex
1
;. .-. . .,, „
1
Marlin, Tex...
5
^i ' •''''tovn^Tenn
McCamey, Tex._
2
Mount Pleasant, Tenn
McKinney, Tex
12
Memphis, Tex
3
S ,
Mercedes, Tex
3
P iri • Tp'lin
Mexia, Tex._
5
.,' ,' ', . ,.,
Midland, Tex
22
R ' ',',. V™ ~
Mmeola, Tex
3
Mineral Wells, Tex
9
Mission, Tex..
8
Monahans, Tex
5
Mount Pleasant, Tex
5
Nacogdoches, Tex
6
Navasota, Tex
3
New Braunfels, Tex
12
Nocona, Tex.
3
Odessa, Tex..
43
Olney, Tex...
2
Orange, Tex.
25
Paducah, Tex
2
Pasadena, Tex
17
Pharr, Tex.
4
Pittsburg, Tex
2
Plainview, Tex
13
Quanah, Tex
1
Ranger, Tex.
7
Raymondville, Tex
6
Robstown, Tex
7
Rusk, Tex. .
2
San Marcos, Tex
3
Shamrock, Tex
3
Slaton, Tex. .
3
Snyder, Tex...
11
Stamford, Tex
6
Stephenville, Tex.. .
7
Taylor, Tex
7
2
Clarksville, Tex
Texas City, Tex
21
Uvalde, Tex_. .
6
15
8
10
Crvstal City, Tex.__
Wellington, Tex
2
42
Table 13.-
■N umber of -police department employees, April 30, 1950, cities with
population from 2,500 to 25,000 — Continued
CITIES WITH 2,500 TO 10,000 INHABITANTS-Continued
City
Number of
police de-
partment
employees
City
Number of
police de-
partment
employees
Weslaco, Tex
8
9
5
5
2
8
4
5
5
7
3
3
4
7
3
3
4
4
S
5
5
12
8
3
7
10
9
3
5
4
7
6
5
4
19
5
8
5
13
7
6
18
18
14
11
8
6
5
3
12
12
12
10
12
4
IS
18
6
10
6
8
6
12
9
il
2
12
West University Place, Tex
Yoakum, Tex... ...
American Fork, Utah. .
4
15
5
8
5
14
15
9
11
4
2fi
4
8
4
10
6
3
Bingham Can von, Utah
Kelso, Wash
Bountiful, Utah...
Kent, Wash
Brigham, Utah
Cedar City, Utah
Helper, Utah...
Lehi, Utah
Mid vale, Utah.
Murray, Utah. .
Nephi, Utah.
Orem, Utah..
Park City, Utah. .
Payson, Utah
Price, Utah..
Richfield, Utah . .
St. George, Utah .
South Salt Lake, Utah .
Charles Town, W. Va
Spanish Fork, Utah
Chester, W. Va.__.
Springville, Utah
4
6
3
7
7
11
3
10
2
2
5
5
3
4
2
4
13
3
3
3
2
9
Tooele, Utah..
Elkins, W. Va
Bellows Falls, Vt__
Bennington, Vt
Grafton, W. Va
Brattleboro, Vt.
Hinton, W. Va.
Montpelier, Vt...
Keystone, W. Va
St. Albans, Vt
St. Johnsbury, Vt
Springfield, Vt..
Waterbury, Vt
Windsor, Vt
Mullens, W. Va
Winooski, Vt__
Xitro, W. Va
Oak Hill, W. Va....
Piedmont, W. Va
Bedford, Va
Point Pleasant, W. Va
Big Stone Gap, Va
Princeton, W. Va ...
Bluefield, Va
Salem, W. Va.
Bristol, Va
Shinnston, W. Va
Sistersville, W. Va
Welch, W. Va
Wellsburg, W. Va
Weston, W. Va
Falls Church, Va..
11
Berlin, AVis
Galax, Va—
Black River Falls, Wis..
Clintonville, V* is
Hopewell, Va
Marion, Va.
F)e Pere, Wis
Norton, Va.
Phoebus, Va
Pocahontas, Va
Pulaski, Va
Radford, Va
Salem, va
South Boston, Va
South Norfolk, Va
Vinton, Va
Kewaunee, Wis.. .
Kimberly, Wis .
4
Waynesboro, Va.
Lake Geneva Wis
6
3
3
Wytlieville, Va
Little Chute, Wis
A uburn, Wash
Centralia, Wash.
Merrill, Wis
Chehalis, Wash
Monroe, Wis
Olarkston, Wash
\i'ills\ Qle, Wis
Colfax, Wash 1
New Loudon, Wis
6
43
Table 13. — Number of police department employees, April 80, 1950, cities with
population from 2,500 to 25,000 — Continued
CITIES WITH 2,500 TO 10,000 INHABITANTS— Continued
City
Number of
police de-
partment
employees
City
Number of
police de-
partment
employees
7
4
1
4
9
6
5
3
13
7
6
5
3
6
3
S
4
6
Tomah, Wis
Park Falls, Wis .
Plattcville, Wis
West Bend, Wis
Whitefish Bay, Wis
3
River Falls, Wis
9
6
OFFENSES CLEARED AND PERSONS ARRESTED
Offenses Cleared by Arrest, 1949
During 1949, the police cleared by arrest 27.9 percent of offenses
reported. For crimes against the person the percentage cleared was
78.7 and for crimes against property, 24.7.
Generally speaking, the less frequent but more serious offenses
against the person are for the most part followed by the arrest of the
offenders, whereas the more frequent crimes against property are not
so likely to be cleared by arrest. Of the murders and negligent
homicides last year, 93.7 and 85.1 percent, respectively, were cleared
by arrest, while 80.2 percent of the rapes and 77.2 percent of the aggra-
vated assaults were reported as cleared by arrest.
Of the property crimes, robbery tops the list of those cleared. In
some respects robbery offenses are similar to crimes against the per-
son, inasmuch as the offender is observed by the victim in most cases.
The 39.5 percent clearance figure for robbery contrasts with the 29.0
percent for burglary, 21.6 percent for larceny and 27.3 percent for
auto theft.
In connection with the relatively small proportion of auto theft
offenses cleared, it should be remembered that year after year the
police report better than 90 percent of stolen automobiles recovered.
The term "cleared by arrest" refers to a situation wherein one or
more of the offenders responsible for the commission of the offense
have been arrested and made available for prosecution. Under the
system of uniform crime reporting the arrest of one individual may
clear several offenses when the police investigation discloses evidence
identifying that individual as being involved in the commission of
other offenses. On the other hand, where several people jointly
commit one offense and all are arrested, only one offense is treated as
cleared.
Exceptional circumstances are present in connection with the com-
mission of some offenses which render them cleared even though an
offender may not be arrested and made available locally for prosecu-
tion. Included in the exceptional clearances would be instances
wherein the offender had been arrested in another jurisdiction but for
reasons beyond the control of the police he was not prosecuted locally.
(44)
45
The suicide of the offender would also be treated as an exceptional
clearance. Such clearances are relatively few in number and def-
initely limited under instructions included in the Uniform Crime
Reporting Handbook, which is distributed to all contributing police
agencies.
In view of the foregoing, it is understandable that the following
tabulation indicates in many cases that the number of persons
charged falls short of the number of offenses cleared. On the other
hand, in some instances involving crimes against the person it is seen
that the number of persons charged exceeds the figures for offenses
cleared. This may be attributable to the fact that in more serious
crimes frequently more than one person is arrested.
All the reports used in the following tabulations were carefully re-
viewed as to reasonableness and none were included in the tabula-
tions which follow unless the contributing police agency indicated the
reports included all offenses of the indicated types known to have
been committed. Also these departments reported that their figures
pertaining to offenses cleared were properly distinguished from those
relating to the number of persons arrested. In verifying the reports,
letters were sent to 422 of the 1,652 cities whose returns were used in
the tabulations.
46
RELATION BETWEEN OFFENSES
KNOWN AND
OFFENSES CLEARED
Calendar Year 1949
OFFENSES AGAINST THE PERSON
CLQ0
MURDER
109 BfmtKS
NIGU6EKT
MANSLAUSHTER
IS SFOKS KBSfPt
JLPL
A66RAVATED
ASSAULT
1,652 CITIES
49,618,922 POPULATION
47
Table 14. — Offenses known, cleared by arrest, and persons charged (held for prose-
cution), 1949, by population groups, number per 100 known offenses.
[Population figures from 1940 decennial census]
Population group
Criminal
homicide
Mur-
der,
non-
neg-
ligent
man-
slaugh-
ter
Man-
slaugh-
ter by
negli-
gence
Rape
Rob-
bery
Bur-
glary—
break-
ing or
enter-
ing
Lar-
ceny-
theft
TOTAL, GROUPS I-VI
1,652 cities; total population,
49,618,922:
Offenses known .
Offenses cleared by arrest —
Persons charged .
group 1
30 cities over 250,000; total popula-
tion, 19,369,472:
Offenses known
Offenses cleared by arrest___-__-
Persons charged _
group II
48 cities, 100,000 to 250,000; total
population, 6,784,374:
Offenses known ...
Offenses cleared by arrest
Persons charged _
GROUP III
87 cities, 50,000 to 100,000; total popu-
lation, 6,000,394:
Offenses known ...
Offenses cleared by arrest ...
Persons charged .
GROUP IV
161 cities, 25,000 to 50,000; total popu-
lation, 5,666,456:
Offenses known
Offenses cleared by arrest —
Persons charged —
GROUP v
470 cities, 10,000 to 25,000; total popu-
lation, 7,138,332:
Offenses known ...
Offenses cleared by arrest ...
Persons charged _
GROUP VI
856 cities under 10,000; total popula-
tion, 4,659,894:
Offenses known .
Offenses cleared by arrest —
Persons charged.
100.0
93.7
91.7
ioo.o
94.6
94.0
100.0
90.7
86.1
100.0
94.0
93.1
100.0
93.2
86.3
100.0
94.3
91.2
100.0
91.5
100.0
85. 1
100.0
81.3
82.0
100.0
84.9
74.8
100.0
90.9
84.0
100.0
80.8
74.4
100.0
99.1
ioo.o
100. o
91.4
84.8
100.0
80.2
75.3
100. 0
81.3
100.0
75^8
100.0
79.5
84.0
100. 0
85.9
92.9
100. 0
75.4
85.9
100.0
39.5
39.2
ioo. o
39.5
35.8
100.0
36.8
41.2
100.0
36.5
48.0
100.0
40.7
51.1
ioo.o
49.6
100.0
77.2
66.3
ioo. o
73.3
54.6
100.0
78.4
72.8
100.0
82.0
80.7
100.0
84.5
86.4
100. 0
86.3
100. 0
28.7
21.8
100.0
26.7
17.5
100.0
29.1
20.1
100.0
29.7
21.3
100.0
30.7
26.1
100.0
32.5
30.6
100.0
21.6
17.4
100. 0
22.8
19.1
100.0
20.1
14.6
100.0
19.9
16.4
100.0
19.2
16.0
100.0
22.0
18.3
100.0
24.2
16.9
The foregoing tabulation shows the number of offenses cleared and
the number of persons charged per 100 known offenses, with the data
reported by the 1,652 cities divided into population groups. The
raw figures reported by these cities showing offenses known and offenses
cleared are presented in the following tabulation with the cities
grouped according to location so that police administrators may
48
RELATION BETWEEN OFFENSES
KNOWN AND
OFFENSES CLEARED
Calendar Year 1949
OFFENSES AGAINST PROPERTY
1,652 CITIES 49,618,922 POPULATION
jm
Figure 5.
49
compare the degree of success experienced locally in clearing offenses
with the average of other departments in the same general section of
the country.
Table 15. — Number of offenses known, number and percentage cleared by arrest,
1949, by geographic divisions
[Population figures from 1940 decennial census]
Geographic division
Criminal
homicide
Mur-
der,
non-
neg-
ligent
man-
slaugh-
ter
Man-
slaugh-
ter by
negli-
gence
Rape
Rob-
bery
Bur-
glary-
break-
ing or
enter-
ing
Lar-
ceny-
theft
TOTAL, ALL DIVISIONS
1,652 cities; total population, 49,618,-
922:
Number of offenses known
Number cleared by arrest
Percentage cleared by arrest
NEW ENGLAND STATES
148 cities; total population, 4,927,146:
Number of offenses known
Number cleared by arrest
Percentage cleared by arrest
MIDDLE ATLANTIC STATES
372 cities; total population, 9,546,187:
Number of offenses known
Number cleared by arrest
Percentage cleared by arrest
EAST NORTH CENTRAL STATES
419 cities; total population, 15,254,227:
Number of offenses known
Number cleared by arrest
Percentage cleared by arrest
WEST NORTH CENTRAL STATES
183 cities; total population, 4,828,859:
Number of offenses known
Number cleared by arrest
Percentage cleared by arrest
SOUTH ATLANTIC STATES '
142 cities; total population, 5,113,373:
Number of offenses known
Number cleared by arrest
Percentage cleared by arrest
EAST SOUTH CENTRAL STATES
47 cities; total population, 1,297,054:
Number of offenses known
Number cleared by arrest
Percentage cleared by arrest
WEST SOUTH CENTRAL STATES
82 cities; total population, 2,967,825:
Number of offenses known
Number cleared by arrest
Percentage cleared by arrest
1 Includes the District of Columbia
2,772
2,597
54
45
83.3
276
254
92.0
184
160
87.0
329
316
96.0
1,679
1,428
85.1
151
123
81.5
143
132
92.3
75
63
84.0
6,241
5, 003
80.2
292
285
97.6
2,407
1,846
76.7
457
85.7
32, 059
12. 853
39.5
944
432
45.8
2,784
1,044
37.5
14,053
5,322
37.9
2,392
1,066
44.6
3,378
1,931
57.2
40, 114
30, 981
77.2
664
625
94.1
3, 259
2, 513
77.1
8^476
71.2
3,355
2,357
70.3
13.296
11, 183
84.1
1,634
1,186
72.6
2,827
2. 506
13, 181
4,619
35.0
57, 284
17,378
16,726
5,154
30.8
6,741)
8, 758
32.8
6,918
1,624
23.5
17.037
4,762
28.0
31, 379
8,464
27.0
41,955
10. 055
22.4
119, :;n;
30, 541
20.4
44, 455
10, 707
24.1
61,782
17, 799
11, 573
2,505
21.6
35.9:19
9,011
25.1
50
Table 15. — Number of offenses known, number and percentage cleared by arrest,
1949, by geographic divisions — Continued
Criminal
homicide
Rape
Rob-
bery
Aggra-
vated
as-
sault
Bur-
glary—
break-
ing or
enter-
ing
Lar-
ceny-
theft
Geographic division
Mur-
der,
non-
neg-
ligent
man-
slaueh-
ter
Man-
slaugh-
ter by
negli-
gence
Auto
theft
MOUNTAIN STATES
80 cities; total population, 1,304,921:
Number of offenses known
Number cleared by arrest
Percentage cleared by arrest
PACIFIC STATES
179 cities; total population, 4,379,330:
Number of offenses known
Number cleared by arrest
Percentage cleared by arrest
60
56
93.3
194
172
88.7
65
44
67.7
210
184
87.6
194
156
80.4
71.5
987
425
43.1
4,970
1,515
30.5
683
545
79.8
2,488
1,590
63.9
9,434
2,546
27.0
31,878
7,159
22.5
27, 343
4,747
17.4
94, 207
14, 231
15.1
3,874
1,004
25.9
14, 015
3,166
22.6
Persons Charged, 1949
On the average, 1 out of every 4 persons living in urban areas was
formally charged in 1949 with some traffic violation and 1 out of 20
was charged with some other violation such as drunkenness, disorderly
conduct, assault, larceny and the like, according to the annual reports
received from 1,652 cities representing a combined population of
49,618,922.
Generally speaking, the larger cities reported the greatest number of
persons charged per unit of population, although a few exceptions to
this general observation are noted in the following tabulations.
In reviewing the figures presented in tables 16-18, it should be
remembered that the procedure followed in scoring the number of
persons charged is considerably different from that governing the
scoring of offenses known to the police. As an illustration, if a holdup
man committed three consecutive robberies in three different business
establishments, three separate offenses of robbery would be reported,
whereas if he is arrested, only one person charged with robbery would
be scored. Similarly, if three individuals steal one automobile and are
arrested, one offense of auto theft would be scored and three persons
would be shown as charged with auto theft.
Of the 1,652 cities represented in the following 2 tabulations, 96 per-
cent indicated affirmatively they had correctly listed the number of
persons charged rather than the number of charges placed against
persons arrested; i. e., if on an occasion of a single arrest an offender
was charged with robbery and larceny, only 1 person was shown as
charged, the entry being made opposite robbery.
Nearly 88 percent of the reporting departments advised that all or
some juveniles were included in their returns of persons charged,
51
while 84 percent indicated that all juveniles were included. Of those
including juvenile arrests, 98 percent properly listed them opposite
the classification embracing the violation involved, such as robbery,
burglary, larceny and the like, even though some technical charge
such as "juvenile delinquency" was placed against the offender at the
time of his detention. The other departments including juveniles
showed them opposite "all other offenses."
Table 16. — Persons charged (held for 'prosecution), 1949, number and rate per
100,000 inhabitants, by population groups
[Population figures from 1940 decennial census]
Oflense charged
Criminal homicide:
(«) Murder and nonnegligent
manslaughter:
Number of persons
charged
Rate per 100,000
(6) Manslaughter by negli-
gence:
Number of persons
charged
Rate per 100,000
Robbery:
Number of persons charged
Rate per 100,000
Aggravated assault:
N nm her 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, receiv-
ing, possessing:
Number of persons charged
Rate per 100,000
Forgery and counterfeiting:
Number of persons charged
Rate per 100,000
Rape:
Number of persons charged
Rate per 100,000
Prostitution and commercial-
ized vice:
Number of persons charged.
Rate per 100,000
Sex offenses (except rape and
prostitution) :
Number of persons charged
Rate per 100,000
Narcotic drug laws:
Number of persons charged.
Rate per 100,000
Weapons; carrying, possessing,
etc.:
Number of persons charged.
Rate per 100,000
tion,
49,618,922
2,541
5.12
1,369
2.76
91,158
183.7
56, 941
175.2
13, 488
27.2
4,265
8.6
10,355
4,701
9.47
27, 378
55.2
20, 336
41.0
4,712
9.5
17. 909
36.1
Group I
150 cities
over
250,000;
popula-
tion,
19,3119,47:
1,375
7.10
7, 507
38.8
34, 19(5
176.5
36,015
185.9
2, Sal)
14.7
2,338
12.07
7, 9S1
41.2
Group II
4S cities,
100,000 to
250,000;
popula-
tion,
6,784,374
342
5.04
223
3.29
1,656
24.4
14.797
218.1
5,711
84.2
12,11
178.
2,341
34.5
1,462
21.5
3,837
56.6
2, 526
37.2
Group III
87 cities,
50,000 to
100,000;
popula-
tion,
6,1100,394
310
5.17
194
3.23
1,042
17.4
3,841
64.0
13,298
221.6
5,134
85.6
10,540
175.7
467
7.78
2, 740
45.7
2,291
38.2
Group IV
161 cities,
25,000 to
50,000;
popula-
tion,
5,666,456
805
14.2
2, 560
45.2
9,721
171.6
4,443
78.4
9,471
167.1
1,603
28.3
Group V
470 cities,
10,000 to
25,000;
popula-
tion,
7,138,332
238
3.33
13.0
2,779
13, 364
187.2
6,045
84.7
1,256
17.6
537
7.52
52
Table 16. — Persons charged (held for prosecution), 19^9, number and rate per
100,000 inhabitants, by population groups — Continued
Offense charged
Total,
1,652
cities;
total
popula-
tion,
49,618,922
Group I
25(1,0(10;
popula-
tion,
19,369,172
Group II
IS cities,
100,000 to
250,000;
popula-
tion,
6,7X4,374
Group III
S7 cities,
56,0(10 to
100,000;
popula-
tion,
0,000,391
Group IV
161 cities.
25,000 to
56, C00;
popula-
tion,
5,666,456
Group V
470 cities,
10,000 to
25,000;
popula-
tion,
7,1
Group
VI
856 cities
under
10,000;
popula-
tion,
4,d5'.»,K94
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 100,060
Disorderly conduct:
Number of persons charged.
Rate per 100,000.
Drunkenness:
Number of persons charged
Rate per 100,000
Vagrancy:
Number of persons charged _
Rate per 100,000--.
Gambling:
Number of persons charged.
Rate per 100,000..-.
All other offenses:
Number of persons charged.
Rate per 100,000
28, 637
67.7
33,479
67.5
3 81.729
164.8
306, 538
617.8
1,162.429
2, 342. 7
139, 052
280.2
238, 326
480.3
8,549
44.1
5.195.391)
29, 276. 4
133,110
687.2
59, 300
306.6
48, 79:;
251.9
87,309
450.8
7, 285
107.4
9,357
137. 9
2, 370, 384
34, 938. 9
534.9
12, 877
36,510
538.2
3,673
61.2
5,551
92.5
11,700
195.0
1,975,834
33, 387. 9
628.3
140, 721
2, 345. 2
14, 705
245.1
8,715
145.2
30,629
510.4
3,611
63.7
3,721
65.7
11,268
198. 9
1,445,227
25,882.5
124,. W.I
2, 197. 8
27, 044
477.3
i 3, 475
48.8
5,212
73.0
16, 399
230.4
1.713.180
24, 300. 3
10, 935
153.2
36, 471
510.9
3,161
67.8
12,927
277.4
i» 961, 843
20, 786. 2
27, 752
595.6
96, 176
2, 063. 9
8.934
191.7
2,384
51.2
20,357
436. 9
Footnotes 1-10: The number of persons charged and the rate are based on the reports from the number
of cities indicated below:
Footnote
Cities
Population
Footnote
Cities
Population
1,651
469
1,651
469
1,636
49, 599, 522
7,118,932
49, 598, 243
7,117,653
47, 709, 356
6 .
29
86
159
464
850
17, 746, 020
8
4
9
7, 050, 026
5
10
4, 627, 322
In the foregoing tabulation all persons charged with traffic violations
were grouped under a single heading; however, 1,527 of the cities
showed separate data for (1) violations of road and driving laws
(usually referred to as "moving violations"), (2) parking violations, and
(3) other traffic and motor-vehicle laws except driving while intoxicated,
and these data are presented in the following tabulation with the
cities grouped by size.
53
Table 17. — Persons charged (held for prosecution), traffic violations, except driving
while intoxicated, 1949; number and rate per 100,000 inhabitants, by population
groups
[Population figures from 1940 decennial census]
Group
Group
Group
Group
Group
Group
Total,
I
II
III
IV
V
VI
1,527
cities;
Offense charged
total
28 cities
43 cities,
77 cities,
147 cities,
429 cities,
803 cities
popula-
over
100,000 to
50,000 to
25,000 to
10,000 to
under
tion,
250,000;
250,000;
100,000;
50,000;
25,000;
10,000
44,773,342
popula-
popula-
popula-
popula-
popula-
popula-
tion,
tion,
tion,
tion.
tion,
tion,
17,316,260
5, 976, 573
5, 334, 842
5, 189, 906
6, 549, 113
4, 406, 648
Road and driving laws:
Number of persons charged.
2,670,648
1,479,115
328, 248
271, 626
186, 873
211,307
193, 479
Rate per 100,000
5,964.8
8, 541. 8
5, 492. 2
5,091.5
3, 600. 7
3, 226. 5
4, 390. 6
Parking violations:
Number of persons charged _
9,673,405
3, 399, 235
1, 669, 580
1, 512, 910
1, 044, 149
1, 358, 558
688,973
Rate per 100,000
21,605.3
19, 630. 3
27, 935. 4
28, 359. 0
20,118.8
20, 744. 2
15, 634. 9
Other traffic and motor vehicle
laws:
Number of persons charged _
528,455
274, 495
61, 229
60,681
40, 065
47, 136
44,849
Rate per 100,000
1,180.3
1, 585. 2
1, 024. 5
1, 137. 4
772.0
719.7
1, 017. 8
The following tabulation shows the number of persons formally
charged and the rate per 100,000 inhabitants with the cities grouped
according to geographic division. The tabulation is based on the
reports of the same 1,652 cities grouped in table 16 according to
population.
In reviewing the variations in the data between the various geo-
graphic divisions, it should be remembered that many factors are
involved affecting the charge which might be placed against an indi-
vidual. For example, persons arrested in connection with a traffic
fatality may by local custom in some areas be charged with reckless
driving or some offense considered by some less serious than man-
slaughter. Established local custom is reflected also in other classi-
fications. The figures for prostitution and commercialized vice in
some areas may be considered conservative for the offenders may be
charged with some other sex offense, vagrancy, or disorderly conduct.
Similarly persons arrested for intoxication in some cases may be for-
mally charged with disorderly conduct while a person responsible for
an aggravated assault may be taken into custody under a misdemeanor
charge.
Thus it will be seen that while theoretically an offender should be
charged with the offense committed, in many instances the policies
and practices of prosecuting attorneys, judges, and other officials as
well as public opinion and established custom in the community will
govern to a great extent the charge placed by the police against arrested
individuals.
54
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56
PERSONS CHARGED
AND
PERCENT FOUND GUILTY
Calendar Year 1949
CRIMES AGAINST THE PERSON
2%©UILT¥
murder tttiiioaoos
— mmww.
MUJ% GUILTY
NEGLIGENT • • • • €>
MANSLAUGHTER
519 CHARGED
53.5% GUILTS
AGGRAVATED ® ® • • • O QQXl C
SSL «"fWOT„,
.1
FBI
205 CITIES WITH OVER 25,000 INHABITANTS TOTAL POPULATION 22,750,544 CHAHT
Figure 6.
57
Persons Found Guilty, 1949
Practically two-thirds of the persons formally charged (booked) by
the police in 1949 were found guilty, according to the reports received
from 205 of the Nation's larger cities (combined 1940 population,
22,750,544). Those found guilty ranged from 44.7 percent for negli-
gent manslaughter and 53.5 percent for aggravated assault up to 80.5
percent for liquor law violations and 83.9 percent for driving while
intoxicated.
The data relating to persons found guilty are presented separately
in tables 19 and 20 since figures on offenses known and offenses cleared
by arrest are available only as to the Part I offense classes.
While the figures showing the percentage found guilty for crimes
against the person are small in comparison with those for offenses
against property, it will be observed that in crimes against property
arrests are made in a much smaller proportion of the cases.
In selecting the cities used in tables 19 and 20, reports were elimi-
nated unless the verification of them or the answers to questionnaires
and correspondence indicated the figures for persons found guilty
represented the final disposition of the charges placed against persons
as distinguished from the disposition at some preliminary judicial
stage. A few classifications are not separately presented in table 20
since the figures in sufficient detail were not available in some of the
reports used.
Table 19. — Offenses known, cleared by arrest, and number of persons found guilty,
194-9; 205 cities over 25,000 in population
[Total population, 22,750,544, based on 1940 decennial census]
Oflense (Part I classes)
Number
of
offenses
known
to the
police
Number
of
offenses
cleared
by arrest
Number
of
persons
charged
(held for
prosecu-
tion)
Number
found
guilty of
offense
charged
Number
found
guilty of
lesser
offense
Total
found
guilty (of
offense
charged
or lesser
offense)
Percent-
age
found
guilty
Total
456, 594
124, 282
91,045
57, 267
7,775
65,042
71.4
Criminal homicide:
(a) Murder and nonnegli-
gent manslaughter. _ _
(6) Manslaughter by negli-
gence
1,355
789
3,857
20,806
25, 124
105, 464
259, 139
40, 060
1,284
626
3,096
8,176
18,813
30, 176
52, 571
9,540
1,245
519
2,428
7,040
13, 388
19, 159
39, 769
7,497
558
189
1,018
4,187
5,511
12, 744
28,442
4,618
191
43
465
1,027
1,651
2,107
1,600
691
749
232
1,483
5,214
7,162
14, 851
30, 042
5,309
60.2
44.7
61.1
Robbery
74.1
53.5
Burglary — breaking or entering.
Larcenv— theft (except auto
theft)
77.5
75.5
70.8
58
PERSONS CHARGED
AND
PERCENT FOUND GUILTY
Calendar Year 1949
CRIMES AGAINST PROPERTY
% GUILTY
A
ROBBERY
7,040 CHARGED
77.5% GUILTY
BURGLARY
19,159 CHARGED
inim
• oo
n
75,5% GUILTY
LARCENY
39,769 CHARGED
m
▼TVVfTV
coo
70.8% GUILTY
AUTOTHEFT ••••#•• >0
\/
FBI
205 CITIES WITH OVER 25,000 INHABITANTS TOTAL POPULATION 22,750,544 CH»RT
Figure 7.
59
Table 20. — Number of persons charged (held for prosecution) and number found
guilty, 19.J.9; 205 cities over 25,000 in population
[Total population, 22,750,544, based on 1940 decennial census]
Offense (Part II classes)
Xumber of
charged
(held for
prosecu-
tion)
Number
found
guilty of
offense
charged
Number
found
guilty of
lesser of-
fense
Total found
guilty (of
offense
charged or
of lesser
offense)
Percent-
age found
guilty
Total
Other assaults
Forgery and counterfeiting
Embezzlement and fraud
Stolen property; buying, receiving, etc
Weapons; carrying, possessing, etc
Sex offenses (including prostitution and com
mercialized vice)
Offenses against the family and children
Narcotic drug laws
Liquor laws
Drunkenness; disorderly conduct; vagrancy
Gambling
Driving while intoxicated
Traffic and motor vehicle laws
All other offenses
7, 862, 904
39, 445
3,376
7,303
1,849
8,571
23,519
15, 879
2,608
15, 895
687, 193
42, 884
30, 053
2 6, 887, 215
97, 114
5. 229. 222
2,257
4,170
933
5,941
16, 812
8,872
1,902
12. 553
515, 820
27, 802
22. 785
4. 494, 993
57, 491
370
34
240
2.210
185
2,415
2 24. 968
1,371
23, 567
2,500
4,580
1,010
6,149
17, 405
9,242
1,936
12, 793
518, 030
27, 987
25, 200
2 4, 519, 961
58, 862
59.7
74.1
62.7
54.6
71.7
74.0
58.2
74.2
80.5
75.4
65. 3
83.9
J65.6
60.6
The total figures are subject to footnote 2.
Based on the reports of 201 cities, total population, 20;
60
PERCENT FOUND GUILTY
Calendar Year 1949
3 o
^\ n PART II CLASS OFFENSES
Percent Found Guilty
59.7% I
Forgery and Counterfeiting
74.1%
Embezzlement and Fraud
62.7%j
Stolen Property: Buying, Receiving, etc. 54.6 m
Weapons: Carrying, Possessing, etc.
71.7%
. „ (Including Prostitution
Sex Offenses and commercialized vice)
74.0%
Offenses Against Family and Children 58.2%
Narcotic Drug Laws
74.2%
Liquor Laws
80.5%
Drunkenness, Disorderly Conduct, Vagrancy
75.4%
Gambling
65.3%
Driving While Intoxicated
83.9%
Traffic and Motor Vehicle Laws
-65.6%
All Other Offenses
60.6%
Figure 8.
61
Persons Released — Not Held for Prosecution, 1949
Persons taken into custody by the police are either held for prosecu-
tion or released with no formal charge having been placed against them,
and the annual return C provides for the listing of such information
as well as data relating to persons charged. The figures concerning
persons released are indicated in the following tabulations.
Data pertaining to persons released do not include individuals taken
into custody and turned over to other authorities for prosecution.
The figures do include, however, persons failing to respond to sum-
monses, notices, or citations who are not subsequently brought into
court by arrest for reason of their failure to respond. Included also
are offenders who are given a formal warning but not held to answer
for an offense or who are released under the "golden rule" principle.
Table 21. — Persons released without being held for prosecution, 1949; number and
rate per 100,000 inhabitants, by population groups
[Population figures from 1940 decennial census]
Offense charged
Criminal homicide:
(a) Murder and nonnegligent
manslaughter:
Number of persons re-
leased
Kate per 100,000
(6) Manslaughter by negligence:
Number of persons re-
leased
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
Rate per 100,000....
Auto theft:
Number of persons
Rate per 100,000
Embezzlement and fraud:
Number of persons released. _
Rate per 100,000
Stolen property; buying, receiving,
possessing:
Number of persons released. .
Rate per 100,000
Forgery and counterfeiting:
Number of persons released. .
Rate per 100,000
Rape:
Number of persons released. .
Rate per 100,000
Total,
1,213
cities;
total
popula-
tion,
35,341,677
301
0.85
257
0.73
2,237
6.3
2,157
6.1
5,473
15.5
11, 706
33.1
2,451
6.9
2.4
664
1.88
Group I
24 cities
over
250,000;
popula-
tion,
12.010,421
104
0.86
2, 470
20.6
1,346
11.2
:>. 558
29.5
Group II
36 cities,
II 10,01)0 to
250,000;
popula-
tion,
,-i,o;;:;,\7u
544
lo. s
14.2
1,331
106
2.11
Group III
68 cities.
.50,000 to
100,000;
popula-
tion,
4,707,715
45
0.96
751
16.0
1,192
25.3
70
1.49
Group IV
131 cities,
25,000 to
50,000;
popula-
tion,
4,031,228
Group V
368 cities.
10,000 to
25,000;
popula-
tion,
5,608,798
25
0.45
133
2.37
Group
VI
586 cities
under
10,000;
popula-
tion,
3,313,645
17
0.51
231
7.0
11.6
209
6.3
62
Table 21. — Persons released without being held for prosecution, 1949; number and
rate per 100,000 inhabitants, by population groups — Continued
Offense charged
Total,
1,213
cities;
total
popula-
tion,
35,341,07;
Group I
24 cities
over
250,000;
popula-
tion,
12,040,121
36 cities, 08 cities,
100,000 to 50,000 to
Group II
Group III
Group IV
250,00(1;
popula-
tion,
5,033,870
100,000;
popula-
tion,
4,707,715
131 cities,
25,000 to
50,000;
popula-
tion,
4,631,228
Group V
.08 cities,
10,000 to
25,000;
popula-
tion,
5,008,798
586 cities
under
10,000;
popula-
tion,
3,313,045
Group
VI
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 chil-
dren:
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
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
Rate per 100,000-...
1.001
2.8
1,238
3.5
1,713
4.8
1,176
3.3
3 1, 409
4.0
i 958, 187
2, 860. 8
10,977
31.1
90. 249
255.4
5, 284
43.9
;XX, 721
851. 2
519
15.7
93. 610
1.859.0
67.210
558.0
12.89
256.:
1.373
27.3
222. 730
4,815.8
1. 17!
24.0
O.SOS
144.6
11.330
304.4
1.244
26.4
1X8, 4113
4,142.0
1.573
34.11
'20S..S37
3, 750. 8
3.545
63.2
135.8
1,340
14.302
256.1
4.007
71.4
1 .-,:,, xxo
4, 729. 9
5,145
155.3
2,746
82.9
122
3.7
7. 952
240. 0
4, 262
128.6
Footnotes 1-10: The number of persons released and the rate are based on the reports from the number of
cities indicated below:
Footnote
Cities
Population
Footnote
Cities
Population
1
1,212
367
1,212
367
1,204
35,322,277
5, 589, 398
35, 320, 998
5,588,119
33, 494, 015
6
23
67
129
366
583
10, 422, 969
2
4, 625, 133
3
8
4, 548, 574
4
9.-.
5, 567, 862
5.
10
3, 295, 607
63
Table 22. — Persons released without being held for prosecution, traffic violations,
except driving while intoxicated, 1949; number and rate per 100,000 inhabitants,
by population groups
[Population figures from 1940 decennial census]
Total,
753 cities;
total
popula-
tion,
19,526,690
Group I
Group II
Group III
Group IV
Group V
Group VI
Offense charged
11 cities
over
250,000;
popula-
tion,
5,365,197
17 cities,
100,000 to
250,000;
popula-
tion,
2,454,061
47 cities,
50,000 to
100,000;
popula-
tion,
3,207,511
84 cities,
25,000 to
50,000;
popula-
tion,
2,911,457
230 cities,
10,000 to
25,000;
popula-
tion,
3,499,548
364 cities
under
10,000;
popula-
tion,
2,088,916
Road and driving laws:
Number of persons released .
Rate per 100,000
83, 887
429.6
814, 826
4, 172. 9
32,311
165.5
28,090
523.6
45, 502
848.1
14,835
276.5
16, 162
658.6
51, 204
2, 086. 5
1, 330
54.2
9,606
299.5
211, 133
6, 582. 5
1,991
62.1
10, 786
370. 5
171, 110
5, 877. 1
5, 957
204.6
6,781
193.8
197, 832
5, 653. 1
3,922
112.1
12, 462
596.6
Parking violations:
Number of persons released .
Rate per 100,000
138,045
6, 608. 5
Other traffic and motor vehicle
laws:
Number of persons released
Rate per 100,000
4,276
204.7
DATA COMPILED FROM FINGERPRINT RECORDS
Source of Data
During the first 6 months of 1950 the FBI examined 402,383
arrest records, as evidenced by fingerprint cards, in order to obtain
data concerning the age, sex, race, and previous criminal history of
the persons represented. The compilation has been limited to instances
of arrests for violations of State laws and municipal ordinances.
In other words, fingerprint cards representing arrests for violations
of Federal laws or representing commitments to any type of penal
institutions have been excluded from this tabulation.
The number of fingerprint records examined exceeded the 400,089
prints handled during the first 6 months of 1949 by 0.6 percent. The
tabulation of data from fingerprint cards obviously does not include
all persons arrested, since there are individuals taken into custody for
whom no fingerprint cards are forwarded to Washington. Further-
more, data pertaining to persons arrested should not be treated as
information regarding the number of offenses committed, since two
or more persons may be involved in the joint commission of a single
offense, and on the other hand one person may be arrested and
charged with the commission of several separate crimes.
Offense Charged
More than 42 percent (170,070) of the arrest records examined
during the first 6 months of 1950 were for major violations. Persons
held under charges of murder, robbery, assault, burglary, larceny,
and auto theft numbered 111,262, or 27.7 percent of the total arrest
records examined.
Sex
Fingerprint cards representing arrests of males during the first
half of 1950 numbered 364,519, a 1.0 percent increase over the 360,944
cards received during the same period of 1949.
Female arrest prints declined 3.3 percent, from 39,145 during the
first half of 1949 to 37,864 during the same period of 1950.
Age
During January-June of 1950, persons under 21 years of age arrested
and fingerprinted totaled 63,615 or 15.8 percent of the total arrests.
In addition there were 64,886 (16.1 percent) arrests of persons within
the ages of 21 through 24 bringing the total for persons less than 25
years of age to 128,501 or 31.9 percent of the total arrests. Including
arrests of persons age 25 through 29, the arrests of young people less
(64)
65
than 30 years of age totaled 195,509 or 48.6 percent of all persons
arrested during the first half of 1950, and it should be emphasized
that the arrest records are unquestionably incomplete in the lower
age groups because of the practice of many jurisdictions not to finger-
print all youthful offenders.
As an indication of the predominant part youths play in the com-
mission of crimes against property, it may be observed that during
the first half of 1950 persons of all ages arrested for robbery, burglary,
larceny, auto theft, embezzlement and fraud, forgery, counterfeiting,
receiving stolen property, and arson numbered 99,130 and 29.9
percent of these persons were less than 21 years of age.
It may also be observed that during the first half of 1950, while 31.9
percent of all persons arrested were less than 25 years of age, those
within this age group numbered 55.4 percent of those charged with
robbery, 63.0 percent of those charged with burglary, 46.7 percent
of persons charged with larceny and 68.7 percent of those charged
with auto theft. Approximately one-half of all crimes against property
were committed by persons under 25 years of age.
Table 23. — Distribution of arrests by sex, January-June, 1950
Offense charged
Total
Criminal homicide
Robbery
Assault
Burglary— breaking or entering
Larceny— theft
Auto theft
Embezzlement and fraud
Stolen property; buying, receiving, etc
Arson
Forgery and counterfeiting
Rape r
Prostitution and commercialized vice..
Other sex offenses
Xarcotic 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
Drun kenness
Vagrancy
Gambling
Suspicion
Mot stated
All other offenses
i Less than Mo of 1 percent.
364, 519
2,701
10, 777
26,113
23, N09
30, 478
2, '.«'.)
606
3,754
236
950
136
60
724
2,722
1,454
470
244
423
832
1,051
139
6
194
2,955
7, 673
3,603
777
2,551
387
2,093
21.1
6.7
2.0
6.4
.7
3.0
7.2
6.5
8.4
2.5
2.1
.5
6.5
1.9
?)
1.7
5.2
21.2
6.4
2.0
6.4
66
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BSSMo«o5aS|« 1 9S ll'gS g a § fcB"
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67
Table 25. — Number and percentage of arrests of persons under
January-June, 1950
years of
Offense charged
Total
number
of
persons
arrested
Number
under 18
years of
age
Number
under 21
years of
age
Total
number
under 25
years of
under 18
years of
age
Percent-
age
under 21
years of
Total
percent-
age
under 25
years of
age
Total.
402, 383
63,615
128, 501
Criminal homicide
Robbery
Assault
Burglary— breaking or entering
Larceny—theft...
Autotheft
Embezzlement and fraud
Stolen property; buying, re-
ceiving, etc
Arson
Forgery and counterfeiting
Rape
Prostitution and commercial-
ized vice
Other sex offenses
Narcotic drug laws
Weapons; carrying, possessing,
etc
Offenses against family and
children
Liquor laws
Driving while intoxicated
Road and driving laws
Parking violations
Other traffic and motor vehicle
laws
Disorderly conduct
Drunkenness
Vagrancy
Gambling
Suspicion
Not stated
All other offenses
3.108
11,255
29. 052
24.415
34. 232
9.200
11,218
1.812
556
6.442
4,444
4,295
9,918
5,598
7,531
24. 743
7,118
6, S23
21,729
85, 243
26. 857
8,031
25, 875
3.808
19, 838
817
646
4,496
3. 355
2,031
130
70
31
183
22
115
173
2
159
599
375
811
27
1,707
52
1,775
3,299
3, 178
10, 173
9,697
4,399
759
323
85
925
1,445
330
1,049
760
333
714
1, 115
1,388
10
1,154
3,095
3, 540
3,780
257
5.628
4,;
871
6,233
8, 086
15.389
6', 317
2,318
643
174
2,054
2,502
1,242
2,758
1,777
2,148
1,571
1,375
4,276
3,139
42
2,729
7.133
11,448
7,974
932
10. 515
929
7,943
22.1
1.2
3.9
5.6
2.8
7.9
1.0
2.3
2.6
12.1
29.3
10.9
41.7
28.3
47.8
17.8
15.3
14.4
32.5
7.7
10.6
19.0
4.4
12.8
4.5
19.5
18.3
14.2
4.2
14.1
3.2
21.8
10.5
22.2
31.9
28.0
55.4
27.8
63.0
46.7
68.7
20.7
35. 5
31.3
31.9
56.3
28.9
27.8
44.5
20.9
24.6
17.3
44.1
28.4
43.2
32.8
13.4
29.7
11.6
40.6
24.4
40.0
For males and females combined, the figures for the groups in
which the largest number of arrests occurred during the first half of
1950 are as follows:
Number of
Age: arrests
21 17,577
22 16,761
23 15, 570
19 15,538
20 15, 169
Criminal Repeaters
An examination of the total arrest records examined during the first
half of 1950 reflected that 241,900 or 60.1 percent represented persons
who already had fingerprint arrest records on file at the FBI. For
males, the percentage with prior records was 61.6 and for females,
46.2.
At age 15, the percentage with prior fingerprint records was 17.8
and such percentages increased to 45.4 at age 20.
68
Race
Most of the persons represented in this study were members of the
white and Negro races. Members of the white race represented 293,-
298 of the 402,383 arrest records received, while 103,667 were Negroes,
3,312 were Indians, 405 Chinese, 156 Japanese, and 1,545 were repre-
sentatives of other races.
OFFENSE CLASSIFICATIONS
In order to indicate more clearly the types of offenses included in part I and
part II offenses, there follows a brief definition of each classification:
Part I Offenses
1. Criminal homicide. — (a) Murder and nonnegligent manslaughter includes all
willful felonious homicides as distinguished from deaths caused by negligence.
Does not include attempts to kill, assaults to kill, suicides, accidental deaths, or
justifiable homicides. Justifiable homicides excluded from this classification are
limited to the following types of cases: (1) The killing of a felon by a peace officer
in line of duty; (2) the killing of a hold-up man by a private citizen. (6) Man-
slaughter by negligence includes any death which the police investigation estab-
lishes was primarily attributable to gross negligence on the part of some individual
other than the victim.
2. Rape. — Includes forcible rape, statutory rape (no force used — victim under
age of consent), assault to rape, and attempted rape.
3. Robbery. — Includes stealing or taking anything of value from the person by
force or violence or by putting in fear, such as strong-arm robbery, stick-ups,
robbery armed. Includes assault to rob and attempt to rob.
4. Aggravated assault. — Includes assault with intent to kill ; assault by shooting,
cutting, stabbing, maiming, poisoning, scalding, or by the use of acids. Does not
include simple assault, assault and battery, fighting, etc.
5. Burglary — breaking or entering. — Includes burglary, housebreaking, safe-
cracking, or any unlawful entry to commit a felony or a theft, even though no
force was used to gain entrance. Includes attempts. Burglary followed by larceny
is included in this classification and not counted again as larceny.
6. Larceny — theft (except auto theft). — (a) Fifty dollars and over in value;
(b) under $50 in value — includes in one of the above subclassifications, depending
upon the value of the property stolen, thefts of bicycles, automobile accessories,
shoplifting, pocket-picking, or any stealing of property or article of value which
is not taken by force and violence or by fraud. Does not include embezzlement,
"con" games, forgery, worthless checks, etc.
7. Auto theft. — Includes all cases where a motor vehicle is stolen or driven away
and abandoned, including the so-called joy-riding thefts. Does not include taking
for temporary use when actually returned by the taker, or unauthorized use by
those having lawful access to the vehicle.
Part II Offenses
8. Other assaults. — Includes all assaults and attempted assaults which are not
of an aggravated nature and which do not belong in class 4.
9. Forgery and counterfeiting. — Includes offenses dealing with the making,
altering, uttering, or possessing, with intent to defraud, anything false which is
made to appear true. Includes attempts.
10. Embezzlement and fraud. — Includes all offenses of fraudulent conversion,
embezzlement, and obtaining money or property by false pretenses.
11. Stolen property; buying, receiving, possessing. — Includes buying, receiving,
and possessing stolen property as well as attempts to commit any of those offenses.
(69)
70
12. Weapons; carrying, possessing, etc. — Includes all violations of regulations
or statutes controlling the carrying, using, possessing, furnishing, and manufac-
turing of deadly weapons or silencers and all attempts to violate such statutes
or regulations.
13. Prostitution and commercialized vice. — Includes sex offenses of a commer-
cialized nature, or attempts to commit the same, such as prostitution, keeping
bawdy house, procuring, transporting, or detaining women for immoral purposes.
14. Sex offenses (except rape and prostitution and commercialized vice). — In-
cludes offenses against chasity, common decency, morals, and the like. Includes
attempts.
15. Offenses against the family and children. — Includes offenses of nonsupport,
neglect, desertion, or abuse of family and children.
16. Narcotic drug laws. — Includes offenses relating to narcotic drugs, such as
unlawful possession, sale, or use. Excludes Federal offenses.
17. Liquor laws. — With the exception of "drunkenness" (class 18) and "driving
while intoxicated "(class 22), liquor-law violations, State or local, are placed in
this class. Excludes Federal violations.
18. Drunkenness. — Includes all offenses of drunkenness or intoxication.
19. Disorderly conduct. — -Includes all charges of committing a breach of the
peace.
20. Vagrancy.— Includes such offenses as vagabondage, begging, loitering, etc.
21. Gambling. — Includes offenses of promoting, permitting, or engaging in
gambling.
22. Driving while intoxicated. — Includes driving or operating any motor vehicle
while drunk or under the influence of liquor or narcotics.
23. Violation of road and driving laws. — Includes violations of regulations with
respect to the proper handling of a motor vehicle to prevent accidents.
24. Parking violations. — Includes violations of parking ordinances.
25. Other violations of traffic and motor-vehicle laws. — Includes violations of
State laws and municipal ordinances with regard to traffic and motor vehicles
not otherwise provided for in classes 22-24.
26. All other offenses. — Includes all violations of State or local laws for which
no provision has been made above in classes 1-25.
27. Suspicion. — This classification includes all persons arrested as suspicious
characters, but not in connection with any specific offense, who are released with-
out formal charges being placed against them.
o
UNIFORM
CRIME
REPORTS
FOR THE UNITED STATES
AND ITS POSSESSIONS
ISSUED BY THE
FEDERAL BUREAU OF INVESTIGATION
UNITED STATES DEPARTMENT OF JUSTICE
WASHINGTON, D. C
Volume XXI Number 2
ANNUAL BULLETIN
1950
UNIFORM
CRIME REPORTS
FOR THE UNITED STATES
AND ITS POSSESSIONS
Volume XXI— Number 2
ANNUAL BULLETIN, 1950
Issued by the
Federal Bureau of Investigation
United States Department of Justice
Washington, D. C.
International Association of Chiefs of Police
UNITED STATES
GOVERNMENT PRINTING OFFICE
WASHINGTON : 1951
U. S. SUPERINTENDENT OF DOCUMENTS
AW 11 1951
CONTENTS
Page
Summary of volume XXI, No 2 71-72
Classification of offenses 72
Reporting area 72-73
Crime trends:
Estimated number of major crimes (table 26) 74-75
Urban cri me trends (tables 27-28) 76-82
Rural crime trends (table 29) .. 83-84
Monthly variations (table 30) . _ 85-87
Crime rates: Urban crime rates (tables 31-34) _ 88-92
Offenses in individual areas:
Offenses in cities with more than 25,000 inhabitants (table 35) . _ 93-101
Offenses in Territories and possessions (table 36) 102
Supplemental crime data:
Offense analysis (table 37) 103-104
Value of property stolen by type of crime (table 38) 104-105
Value of property stolen and value of property recovered (table 39) __ 105
Data compiled from fingerprint records:
Sex distribution of persons arrested (table 40) 106-107
Age distribution of persons arrested (tables 41-42) _ 108-111
Percentage with previous fingerprint records (table 43) 111-112
Race distribution of persons arrested (table 44) 112
Definition of part I and part II offense classifications 113-114
Index to volume XXI 115-116
(ii)
UNIFORM CRIME REPORTS
J. Edgar Hoover, Director, Federal Bureau of Investigation, U. S.
Department of Justice, Washington, D. C.
Volume XXI January 1951 Number 2
SUMMARY
Estimated Number of Major Crimes
Every 5 minutes during 1950 someone in the United States was
feloniously assaulted or killed. During each average day 146 persons
were robbed and the cars of 468 others were stolen. With the passing
of each day 1,129 places were entered by burglars and in addition
every 30 seconds on the average throughout the year a larceny was
recorded.
Crime Trends
The total volume of crime in 1950 was up 1.5 percent across the
Nation with all individual offense classes showing increases except
robbery. Murders and negligent manslaughters rose 0.4 and 9.2
percent, respectively, while rape showed an increase of 1.2 percent
and aggravated assault 2.7 percent. Other increases were burglary,
0.6 percent; larceny, 1.9 percent; and auto theft, 4.7 percent. Robbery
declined 10.0 percent from the 1949 figures.
Monthly Variations
A study of the trend in crime from month to month makes it clear
that murders, aggravated assaults, and rapes are committed with
greatest frequency during the summer months, while the general
category of crimes against property shows a tendency to increase in
frequency during the colder seasons. Negligent manslaughters, con-
sisting largely of traffic fatalities, occur with greatest frequency during
the winter.
Property Recovered
During 1950 the police recovered 92 percent of all stolen auto-
mobiles. For other types of property, recoveries were effected as
follows: Money, 12.0 percent; jewelry, 19.7 percent; furs, 6.4 percent;
clothing, 16.5 percent; and miscellaneous property, 28.0 percent.
Persons Arrested
A study of the 793,671 fingerprint arrest records received at the
FBI during 1950 reflected that more than 41 percent were arrests
for major violations and age 21 predominated in the frequency ot
(71)
72
arrests, followed by ages 22, 23, 24, and 25 in that order. Female!
arrests constituted 9.6 percent of the total.
t
CLASSIFICATION OF OFFENSES
The police statistics herein concern local offenses only and in no|
manner relate to crimes characterized as exclusively Federal.
The term "offenses known to the police" is designed to include those'
crimes designated as part I classes of the uniform classification occur-
ring within the police jurisdiction, whether they become known to t In*
police through reports of police officers, of citizens, of prosecuting on
court officials, or otherwise. They are confined to the following group
of seven classes of grave offenses, shown by experience to be those
most generally and completely reported to the police: Criminal
homicide, including (a) murder, nonnegligent manslaughter, and (b)
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. 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. Attempted murders, however,
are reported as aggravated assaults.
"Offenses known to the police" include, therefore, all of the above
offenses, including attempts, which are reported by the law-enforce-
ment agencies of contributing communities and not merely arrests or
cleared cases. Offenses committed by juveniles are included in the
same manner as those known to have been committed by adults,
regardless of the prosecutive action. Complaints which upon investi-
gation are learned to be groundless are not included in the tabulations
which follow.
In publishing the data sent in by chiefs of police in different cities,
the FBI does not vouch for their accuracy. They are given out as
current information which may throw some light on problems of
crime and criminal-law enforcement.
In compiling the tables, returns which were apparently incom-
plete or otherwise defective were excluded.
In the last section of this bulletin may be found brief definitions
of part I and II offense classifications.
REPORTING AREA
During 1950 one or more crime reports were received from 3,071
city and village police departments, 2,115 county police agencies,
15 State police, and 10 agencies in Territories and possessions of
the United States, for a total of 5,211 contributors as compared with
5,184 in 1949.
73
The 1950 census figures were used in compiling the crime data
for this issue of the bulletin. For individual urban places prelim-
,inary counts of population had been published by the United States
Bureau of the Census but at the time the tabulations were prepared,
complete 1950 population data for individual rural police jurisdictions
were not available.
CRIME TRENDS
Estimated Number of Major Crimes
Every 5 minutes during 1950 someone was feloniously assaulted or
killed in the United States. Every day on the average 146 persons
were held up and robbed and 468 others had their cars stolen. With
the passing of each day 1,129 places were entered by burglars and in I
addition every 30 seconds on the average throughout the year a I
larceny was recorded.
By the year's end the estimated number of serious crimes totaled
1,790,030, an increase of 1.5 percent over the 1949 estimates. Increases
were registered in each crime category except for robbery, where a
10-percent decline was shown. Murders and negligent manslaughters
showed increases of 0.4 and 9.2 percent, respectively, while other
increases were as follows: Rape, 1.2 percent; aggravated assault, 2.7
percent; burglary, 0.6 percent; larceny, 1.9 percent; and auto
theft, 4.7 percent.
While the estimated major crime total includes some larceny of- '
fenses involving property of relatively small value, such crimes as
arson, embezzlement, carrying concealed weapons, and the like
are not included. Thus the estimated total is considered conservative.
Table 26. — Crime trends, urban and rural
[Estimated number of major crimes in the United States 1949-50]
Number of offenses
Change
Number Percent
Total
Murder and nonnegligent manslaughter
Manslaughter by negligence
Rape
Robbery
Aggra va ted assault
Burglary— breaking or entering
Larceny— theft
Auto theft
(74)
+26, 740
+ 1.
78,
409,
1.024.
163,
5, 330
16, 580
53, 230
80. 950
411,980
. 044. 160
170, 780
+30
+450
+200
-5, 890
+2, 090
. 2,580
+ 19.640
+7, 640
+.4
+9.2
+1-2
-10.0
+2.7
+•6
+1.9
+4.7
75
76
Urban Crime Trends
Urban crime as a total in 1950 remained practically unchanged as
compared with the figures for 1949. The 2,069 cities used in the
crime trend tabulations reported 1,040,249 part I offenses in 1950,
representing an increase over those reported by the same cities in
1949 of\>nly 0.4 percent. »The population represented by the report- j
ing cities is 67,465,803, according to preliminary counts of the 1950 j
census.
Among the individual offense classes, manslaughter by negligence
showed the heaviest increase, amounting to 15.4 percent, while other
increases were murder, 2.3 percent; aggravated assault, 1.3 percent;
larceny, 0.7 percent; and auto theft, 6.4 percent. Decreases were
registered as follows: Robbery, 11.2 percent; burglary, 1.3 percent;
and rape, 0.7 percent.
For manslaughter by negligence, robbery, burglary, and auto theft
the urban crime trend was fairly widespread. In manslaughter by
negligence, for example, increases were registered in cities of all popu-
lation groups except those with less than 10,000 inhabitants and in all
geographic divisions except the Mountain States. Similarly, a decline
in robberies was reported in cities of all population groups and in all
sections of the country except the South Central States. Burglaries
were down in cities of all sizes except those with 10,000 to 25,000 in-
habitants and in all sections of the country except the Middle Atlantic
and West South Central States, while auto theft offenses showed in-
creases in all areas except the population groups under 25,000 and in
the Pacific geographic division.
For the other offense classes, the pattern was not uniform. For
example, murders, which for all cities as a group showed an increase
of 2.3 percent, varied in trend direction from a 10.1 percent decrease
in the Mountain States to a 27.6 percent increase in the West North
Central area.
Among the various geographic divisions, the West South Central
States reported the most pronounced increase in offenses, 12.4 per-
cent, with increases registered in each offense category except aggra-
vated assault.
The data presented in table 27 subdivide the reported crime accord-
ing to the population groups of the cities represent ed and in table 28
these same cities are divided according to geographic division and
State. The percent change is not indicated for the individual States
inasmuch as the figures in many instances are so small that any per-
centages based thereon might be misleading.
Table 27. — Urban crime trends, 1949-50, by population groups
[Offenses known to the police in 2,069 cities, total population 67,465,803, based on 1950 decennial census
preliminary countsl
Population group
Murder
and
non-
negli-
gent
man-
slaugh-
ter
Man-
slaugh-
ter by
negli-
gence
Rape
Rob-
bery
Aggra-
vated
assault
Bur-
glary—
break-
ing or
enter-
ing
Lar-
ceny-
theft
Auto
theft
Total:
1949
1950
Percent change
Group I, 37 cities; popu-
lation, 25,936,568:
1949
1950
Percent change
Group II, 66 cities; popu-
lation, 9,754,929:
1949
1950
Percent change
Group III. 123 cities; pop-
ulation, 8,697,121:
1949
1950
Percent change
Group IV, 227 cities; pop-
ulation, 8,008,787:
1949 .-,
1950
Percent change
Group V, 583 cities; pop-
ulation, 9,116,165:
1949
1950
Percent change
Group VI, 1,033 cities;
population, 5,952,233:
1949
1950
Percent change
1, 040, 249
+0.4
3,467
+2.3
2,268
+ 15.4
7,420
7,365
-0.7
38, 646
34, 308
-11.2
49, 391
50.014
+1.3
244. 179
241, 100
-1.3
592, 975
597, 086
+0.7
456, 781
457, 873
+0.2
171, 149
172, 277
+0.7
135, 604
136, 886
+0.9
112. 144
111,422
-0.6
106, 708
108. 473
+1.7
53, 948
53,318
-1.2
1,736
1,763
+1.6
603
594
-1.5
363
379
+4.4
254
258
+1.6
275
312
+13.5
159
161
+1.3
958
1,077
+12.4
358
446
+24.6
249
275
+10.4
201
222
+10.4
110
164
+49.1
1. 337
4. 361)
+0.7
874
866
-0.9
359
417
+16.2
25,539
22. 817
-10.7
4.S55
4,401
-9.4
3,321
2, 703
-18.6
-10.3
1,823
1,109
932
-16.0
2s, 176
28,004
-1.7
6, 739
+10.5
6, 255
6, 430
+2.8
3. 7*1
3, 944
+4.3
3. 045
3, 159
+3.7
His. I IVI
106, 542
-1.4
42, 521
41,711
-1.9
1,484
-0.7
21,651
24,417
-1.0
23, 642
23, 810
+0.7
13,5*0
13, 136
-3.3
211.312
212,7115
+0.6
.19, 222
+0.3
sn. r,l7
81.956
+1.6
71,493
70, 934
-0.8
32. 334
32.372
+0.1
98, 367
104, 641
+6.4
46, 304
50, 596
+9.3
16, 943
18, 298
+8.0
12, 404
13,022
+5.0
9,242
9,392
+1.6
4,582
4,478
-2.3
78
Q
2
Id
Id
2
u
2
<
03
D
UJ
O
§j
o
m
u-
CJ
H
"•"■'
^
o
UJ
U
o
1
<«
o
8
a>
»— •
M-!
1
o
O)
ig
z
ui
o — ■
ae
3
«
3
o
r
£ 6
2 §
33
(N
f
79
Table 28. — Urban crime trends, 1949-1950, by geographic divisions and Stales
[Offenses known to the police in 2,069 cities, total population 67,465,803, based on 1950 decennial census
preliminary counts]
Divisions and States
Total
Murder
and
non-
negli-
gent
man-
slaugh-
ter
Man-
slaugh-
ter
by
negli-
gence
Rape
Rob-
bery
Aggra-
vated
assault
Bur-
glary—
break-
ing or
enter-
ing
Lar-
ceny-
theft
Auto
theft
Total, 2,069 cities; popu-
lation, 67,465,803:
1949
1, 036. 334
1, 040. 249
+0.4
3,390
3,467
+2.3
1,966
2,268
+15.4
7,420
7,365
-0.7
38,646
34, 308
-11.2
49, 391
50,014
+1.3
244,179
241,100
592,975
597,086
+0.7
98, 367
1950
104,641
Percent change
+6.4
New England, 127 cities:
population, 5,347,887:
1949
1950
55, 425
51 031
-2.5
59
58
-1.7
160
210
+31.3
290
334
+15. 2
1,051
-14.7
663
623
-6.0
IS, 783
13, 485
-2.2
S3, 715
32, 465
-3.7
5,704
Percent change
+4.5
Connecticut, 19 cities;
population, 993,979:
1949
11, 158
9,885
3.502
3,488
31.857
31, 639
1.871
1,979
6,014
6,121
1,023
919
98, 420
97, 827
-0.6
15
14
7
4
33
32
1
2
3
6
20
47
6
8
109
m
2
5
23
19
41
60
9
12
198
218
15
17
23
22
4
5
760
791
+4-1
213
148
36
29
688
633
10
14
102
2
3,503
3,300
-5.8
236
202
17
26
327
307
13
8
79
1
1
3,759
4.188
+11-4
2,987
2,696
780
721
7. 663
7,512
452
493
1,666
1,879
235
184
27, 371
28, 027
+2.4
6,679
5,748
2,362
2,366
19, 042
18, 857
1. 240
1,310
3, 684
3, 549
708
635
50, 965
49. 289
-3.3
967
1950
Maine, 17 cities; popula-
tion, 305,489:
1949 .
970
285
1950 .
322
Massachusetts, 59 cities;
population, 3,150,907:
1949 ,
3,797
1950
3,949
New Hampshire, 13 cities;
population, 247,824:
1949
13S
1950
130
Rhode Island, 8 cities;
population, 541,331:
1949
444
1950 .
496
Vermont, 11 cities; popu-
lation, 108,357:
1949
73
93
Middle Atlantic, 465 cities;
population, 11,840,608:
1949
308
312
+1.3
373
399
+7.0
11,381
1950 .
11,521
Percent change
+1.2
New Jersey, 119 cities;
population, 2,676,918:
1949
25, 370
25, 334
32, 687
31, 596
40, 363
40, 897
273, 139
2(18, 932
-1.5
77
62
48
183
191
831
776
—6. 6
94
111
29
82
250
206
359
418
+ 16. A
194
189
194
145
372
457
2,577
2, 345
-9.0
716
694
430
372
2,357
2,234
14,655
12, 160
-17.0
1,173
1,244
726
735
1,860
2,209
12, 373
12, 450
' +0.6
7,129
7,568
7,758
7,598
12, 484
12, 861
62, 018
59, 614
13, 243
12, 615
20, 271
19, 280
17, 451
17, 394
158, 307
157, 750
-0.4
2,744
1950
2,851
New York, 163 cities; pop-
ulation, 3,762,066:
1949
3, 231
1950
3,325
Pennsylvania, 183 cities;
population, 5,401,624:
1949 .
5,406
1950
5,345
East North Central, 507
cities; population,
18,150,008:
1949
22, 019
23. 419
Percent change
+6.4
Illinois, 129 cities; popu-
lation, 5,794,816:
71,053
70, 839
30, 986
30, 059
81,404
81,254
346
310
91
149
159
95
114
46
47
72
88
938
794
151
149
958
965
7,308
6,209
941
654
3,430
2,882
4,758
5,102
805
791
4.497
4,492
18,588
18, 420
7,302
7,272
16,812
32. 516
32, 447
18, 585
18, 073
49, 784
6, 504
1950 . .
7,443
Indiana, 69 cities; popu-
lation, 1,926,575:
3,068
1950
2,982
Michigan, 95 cities, popu-
lation, 3,796,408:
5,702
1950
16, 230 50, 281
6,157
80
Table 28. — Urban crime trends, 1949-1950, by geographic divisions and Slales-
Continued
Divisions and Slates
Murder
and
non-
negli-
gent
man-
slaugh
ter
Man-
slaugh-
ter
by
negli-
gence
Rape
Rob-
bery
Aggra-
vated
assault
Bur-
glary-
break-
ing or
enter-
ing
Ohio, 139 cities; popula-
tion, 4,862,738:
1049
1950
Wisconsin, 75 cities; pop-
ulation, 1,769,471:
1949
West North Central, 243
cities; populat ion,
5,984,221:
1949
1950
Percent change
Iowa, 56 cities; popula-
tion, 1,043,019:
1949
1950
Kansas, 45 cities; popula-
tion, 787,616:
1950
Minnesota, 59 cities; pop-
ulation, 1,435,357:
1949
1950
Missouri, 40 cities; popu-
lation, 1,894,861:
1949
1950
Nebraska, 22 cities; popu-
lation, 516,706:
1949
1950
North Dakota, 10 cities;
population, 149,658:
1949.
1950
South Dakota, 11 cities;
population, 157,004:
1949
1950.-
South Atlantic, i 206 cities;
population, 7,170,962:
1950
Percent change
Delaware. 5 cities; pop-
ulation, 129,496:
1949
1950.:
Florida, 36 cities; popula-
tion, 1,217,995:
1949
1950
Georgia, 29 cities; popula-
tion, 966,639:
1949
L950
Maryland, 15 cities; pop-
ulation, 1,130,018:
1949
1950
North Carolina, 46 cities;
population, 1,022,311:
71,244
67,415
81,234
82. 5>io
+1.7
174
222
+27.6
1U
153
+6.3
545
553
+1.6
2, 792
2,242
2,472
2. 452
-0.8
11.522
11.993
11,485
12.175
16. 084
16, 076
30, 868
30, 674
7,770
7.953
1,751
2,013
1,754
1,706
135, ',!>>,
1:11*44
-1.2
15,136
14, 536
13, 760
14,350
19,612
19,440
1950
South Carolina, 20 cities;
population, 404,531:
1950 7,122
Includes the District of Columbia
231
V8
+20.3
1,465
1,479
4.187
3.644
-13.0
2.150
1.874
3.420
3.273
-4.3
2. 927
2, 724
15. 207
IB, 813
+4-0
1,407
1, 538
1,192
1. IS!
4. 465
4,643
16.2.TJ
14, K26
3, 084
2. see,
IS. I HI I
17.645
-2.8
2. -I'M
2.733
2,911
3, 161
3,118
88,378
Si, 134
-3.8
S.30S
S.255
3.1157
3.(162
2, 5S7
2,717
4,491)
4, is:.
81
Table 28. — Urban crime trends, 1949-1950, by geographic divisions and States —
Continued
Divisions and States
Murder
and
Man-
non-
slaugh-
negli-
ter
gent
by
man-
negli-
slaugh-
gence
Rape
Rob-
bery
Aggra-
vated
a- ault
Bur-
glary—
break-
ing or
enter-
ing
Lar-
cenv —
theft
Virginia, .34 cities; popula-
tion, 1,043,566:
1949
1950
/West Virginia, 20 cities;
population, 458,736:
1949
1950
'East South Central, 83
cities; population,
2,998,617:
1949
1950
Percent change
i Alabama, 22 cities; popu-
lation, 867,430:
1949
1950
Kentucky, 24 cities; popu-
lation, 756,622:
1949
1950
Mississippi, 19 cities; pop-
ulation, 398,522:
1949
1950
Tennessee, 18 cities; popu-
lation, 976,043:
1949
1950
West South Central, 130
cities; population,
5,684,665:
1949
1950
Percent change
Arkansas, 18 cities; popu-
lation, 371,914:
1949
1950
Louisiana, 20 cities; popu-
lation, 1,106,427:
1949
1950
Oklahoma, 25 cities; popu-
lation, 781,387:
1949
1950
Texas, 67 cities; popula-
tion, 3,424,937:
1949
1950
Mountain, 100 cities; pop-
ulation, 1,910,544:
1949
1950
Percent change
Arizona, 11 cities; popu-
lation, 212,136:
1949 -
1950
Colorado, 23 cities; popu-
lation, 641,755:
1949
1950
Idaho, 18 cities; popula-
tion, 188,873:
1949
24, 513
24, 063
i'l, SI i
45, 179
-2.2
+19.8
122
154
+26. 2
194
241
+24.2
+2.7
1,969
2, 24S
S. 872
3, im
-6.9
12. i;s<;
12. 227
-3.2
13. Hi!)
13, 164
12, 126
12,290
15,326
14, 566
4,282
4,390
14,480
13,933
92, 822
104, 287
+12.4
546
+9.4
4,265
4,477
11,687
13, 102
14, 673
15, 772
62, 197
70, 936
45, 181
46, 361
+2.6
69
62
-10.1
16,458
17,014
197
249
+26.4
+12.4
2, 323
2, 437
+4.9
1,335
1,019
4,489
4, 252
3, 232
3, 300
4, 537
4,007
1,125
1,202
3,742
3, 718
23, 133
26, 331
+13.8
5, 7X2
5,020
7, 103
fi, 758
2, 270
2, 251
6, 644
6.130
52, 176
58, (11)8
+11.2
1.999
2.277
64
52
■18.8
228
+9.1
1.052
1,011
-3.9
2, 033
2,770
645
732
■13.5
2, 84 1
3,169
3, 792
3, 957
15,274
17,911
9. 729
9,581
35.5112
39, 792
29, 253
30. 'SCO
+S.8
1,377
1,257
4,445
4,688
10, 284
10,911
82
Table 28. — Urban crime trends,
1949-1950, by geographic divisions and States — | |
Continued
Divisions and States
Murder
and
non-
negli-
gent
man-
slaugh-
ter
Man-
slaugh-
by
negll
Rape
Rob-
bery
Aggra-
vated
assault
Bur-
glary—
break-
ing or
enter-
ing
Lar-
cenv —
theft
Montana, 12 cities; popu-
lation. 147,754:
1949
1950
Nevada, 3 cities; popu
lation, 60,143:
1949
1950
New Mexico, 12 cities
population, 210,675:
1949
1950
Utah, 14 cities; popula-
tion, 345,456:
1949
1950
Wyoming, 7 cities; popu-
lation, 103,752:
1949
1950
Pacific, 208 cities; popu-
lation, 8,378,291:
1949 --
1950
Percent change
California, 148 cities; pop-
ulation, 6,605,580:
1949
1950
Oregon, 28 cities; popula
tion, 654,748:
1949
1950
Washington, 32 cities
population, 1,117,963:
1949
1950
2,962
2,886
2,073
2, 175
2,929
3,402
7,439
7,531
2,229
2,304
;?'«, ',0-,
207, 198
-0.6
164, 749
166, 560
27, 807
26,018
316
355
+12. 3
1.386
1,411
+1.8
1,152
1,212
7. 759
6,719
-13.4
6, 461
5, 599
44. 976
43,056
-4-3
m,07s
+1-4
35, 597
34, 380
101.358
1114,838
10.105
9,530
17,761
16,705
395
646
19. 475
19, U6
-1.2
2, S30
2, 503
83
84
Rural Crime Trends
Rural crime as a total in 1950 went up 4.4 percent over the figures
for 1949, with increases registered in 5 offense categories and decreases
in 3.
Aggravated assaults and burglaries rose 7.4 and 6.8 percent,
respectively, and a 4.3 percent increase was shown in larceny offenses.
Other rural crimes showing increases were rape, 3.8 percent, and
manslaughter by negligence, 3.0 percent. Murders in the rural
areas were down 2.6 percent from the 1949 figures and robberies
declined 4.5 percent. Auto theft offenses showed very little change,
decreasing only 0.6 percent.
The rural crime trend figures are based on monthly reports received
during 1949 and 1950 from 1,674 agencies policing a rural population
of 34,617,887. In the absence of 1950 rural population figures at the
time the tabulations were prepared, the rural area was defined as such
on the basis of the 1940 decennial census, whereas all urban crime
figures in this issue of the bulletin are based on preliminary counts
from the 1950 census. Thus the rural area covered in the crime trend
tabulations contains some population classified as urban under the
1950 census classification, but it is not believed there is a duplication
of reporting area to any significant extent.
Table 29. — Rural crime trends, 1949-50
[Offenses known as reported by 1,566 sheriffs, 97 rural village officers, and 11 State police. Total rural
population 34,617,887, based on 1940 decennial census]
Number of offenses
Percent
change
Total
Murder and nonnegligent manslaughter
Manslaughter by negligence
Rape
Robbery
Aggravated assault
Burglary— breaking or entering
Larceny— theft
Auto theft
+4.4
1,823
1,847
4,076
6,595
11,140
5S.02S
76, 451
16, 601
1,776
1, 903
4,231
6,299
11,959
61, 992
79, 760
16, 495
-2.6
+3.0
+3.8
-4.5
+7-4
+6.8
+4.3
-.6
85
MONTHLY VARIATIONS
Offenses Known to the Police , 1950
2,297 URBAN POLICE AGENCIES- TOTAL POPULATION 69,643,614
(Offenses Against the Person)
Murd<
vtitsiiStbSi
Negligent Manslaughter
^ ™ « of >- z 2 -*Q It !-' *
Rape
■2. ™ <*
iXil
Aggravated Assault
jiriiiiiis iy
yy
A/
V
Figure 12.
936733°— 51 3
86
Monthly Variations
The effect of the seasons on the volume of crime is clearly indicated
in the data presented in table 30. It is apparent that felonious assaults
and murders occur with greatest frequency during the summer months
and that crimes against property as a group show a tendency to
increase in frequency during the winter.
Negligent manslaughter offenses, which consist almost entirely of
traffic fatalities where gross negligence is present, occur with the great-
est frequency during the winter months when driving conditions are
less favorable. The daily average for these offenses in December
was nearly three-fourths greater than that during the month of
June in 1950.
Murders, rapes, and assaults during peak summer months exceeded
by approximately one-third the frequency of such crimes during low
months in the colder seasons.
Among the property crimes, the greatest variation was seen for
robbery offenses, which were 55 percent more frequent during January
than during the month of June.
Table 30. — Monthly variations, urban communities, 1950
^Daily average, offenses known to the police in 2,297 cities, total population 69,643,614, based on 1950 decen-
nial census preliminary counts]
January- Decern ber
January-March . . .
April-June
July-September. __
October-December
January
February
March
April
May
June
July
August
September
October
November
l lecember
Criminal
homicide
Mur-
der,
nonneg-
ligent
man-
slaugh-
ter
92
9.84
10.95
9.85
s. 79
I
10.00
9.00
10. 53
10.87
10.35
11,63
9. 42
9.80
10. 32
Man-
slaugh-
ter by
negli-
gence
6.47
6.67
5.78
7.46
6.61
7.39
6.06
6.10
6. 13
5.10
5.61
6.06
6. 30
6. 77
6.70
8.87
Rape
21.00
19. 00
22.11
S3. 36
19.49
IS. 65
19. 42
22. 00
22. 52
21. SO
23. 35
24.84
21.83
20. 32
19.33
18.81
Rob-
bery
116.6
82.7
124. 2
120.5
105. 4
101.2
83.4
79.9
84.9
82.5
80.5
83. 3
92.7
121.1
Aggra-
vated
assault
141.1
130. 0
141.7
154. 3
138.0
12S.3
139. 2
123.3
135.7
142.5
147.0
161.7
146.7
154.3
143 6
128.7
141.5
Bur-
glary—
break-
ing or
enter-
ing
765. 4
665. 2
648.2
683. 7
S03. 1
768.9
724.4
713. 5
659. 2
623. 2
661. 1
634.1
649.6
666.7
660. 9
722.8
Lar-
ceny-
theft
1.612.8
1,708.5
1,697.8
t. 73.1. !
1.581.7
1.623.6
1,634.2
1, 729. 9
1, 709. 9
1,685.6
1. 658. 2
1,714.7
1, 721. 2
1,832 1
1, 680. 3
1, 685. 5
297.2
9.90. 2
283. 5
285.4
329. 1
289. 5
285. 6
295.1
290.1
2S8.3
272. 1
279.4
277.8
299. 5
324.7
321.5
340.9
87
MONTHLY VARIATIONS
Offenses Known to the Police , 1950
2,297 URBAN POLICE AGENCIES - TOTAL POPULATION 69,643,614
(Offenses Against Property)
Robbery
5 si sf'"| § § I J '£: £■'•&!'
3... g.. 3i. .< < n -J ....< ffi O- z s
Larceny
Burglary
*,>.# ft. fr ? 7 ?
8 § B
mimnsg
Auto Theft
.mt.i suss??
1
1
<
"is .
»0 ■
30 -
20 -
1
1
K ■
30
0
>0
FlG¥RE 13.
88
CRIME RATES
Urban Crime Rates
As a general rule, cities with population in excess of 100,000 show
the highest crime rates and the lower rates are reported by the small
communities. Some exceptions to this are seen, however. For
aggravated assault the number of offenses per 100,000 inhabitants in
cities with population from 50,000 to 100,000 exceed the rate for j
cities with population from 100,000 to 250,000.
In compiling the crime rate tabulations which follow, the prelimi-
nary counts of the 1950 census of the United States Bureau of the
Census were used. Thus the following crime rates are not strictly
comparable with those appearing in recent issues of this bulletin I
where up-to-date population data were not available.
A study of the crime rate tabulations, particularly those with the
cities subdivided according to location, will indicate the undesirability
of comparing the volume of crime between individual communities,
since it is apparent from the following tabulations that the extent of
crime may reasonably be expected to vary considerably among com-
munities of different size and location.
In order that police administrators and others interested in the crime
problem may have available a yardstick with which to measure local '
crime conditions, the offenses reported by 2,297 cities representing an
urban population of 69,643,614 are presented in tables 31-33 in the
form of crime rates per 100,000 inhabitants for cities grouped accord-
ing to size and by location.
In compiling the crime rate data presented in the tables which follow,
only those reports were used where an examination of them indicated
they had been properly compiled in accordance with the standards of
uniform crime reporting. The data presented in tables 31-33 are
supplemented by that shown in table 34, which indicates the number
of cities used in compiling the crime rate tables.
89
Table 31. — Urban crime rates, 1950, by population groups
[Offenses known to the police and rate per 100,000 inhabitants. Population figures based on 1950 decennial
census preliminary counts]
Population group
TOTAL, GROUPS I-VI
2,297 cities; total population,
69,643,614:
Number of offenses known.
Rate per 100,000
GROUP I
37 cities over 250,000; total popu-
lation, 25,936,568:
Number of offenses known.
Rate per 100,000
GROUP II
67 cities, 100,000 to 250,000; total
population, 9,882,796:
Number of offenses known.
Rate per 100,000
123 cities, 50,000 to 100,000; total
population , S,697,121 :
Number of offenses known.
Rate per 100,000
238 cities, 25,000 to 50,000; total
population, 8,360,623:
Number of offenses known
Rate per 100,000
635 cities, 10,000 to 25,000; total
population, 9,935,178:
Number of offenses known. .
Rate per 100,000
1,197 cities under 10,000; total
population, 6,831,328:
Number of offenses known. .
Rate per 100,000
Criminal
homicide
Mur-
der,
nonneg
ligent
man-
slaugh-
ter
1.763
6.80
192
2.81
Man-
slaugh-
ter by
negli-
gence
1. 077
4.15
457
4.62
Rape
874
8.84
Rob-
bery
22. 81 7
88.0
4,444
45.0
1.822
18.3
1.147
16.8
Aggra-
vated
assault
2S.004
108.0
3.517
35. 4
2. 051
30.0
Burglary
— break-
ing or
entering
240. 839
356.4
42.024
425.2
31,484
362. 0
25. 567
257. 3
15. 451
226.2
Larcency
—theft
604. 779
894.9
99. 7'Jll
1, 009. 7
SI. 1)56
942.3
74.490
891.0
74, 199
746.8
30.S05
538. 8
Auto
theft
106. 816
153.4
18, 424
186.4
13,022
149.7
9.524
95.9
5,210
76.3
i The number of offenses and rates for burglary and larceny-theft are based on reports as follows: Groups
I-VI, 2,296 cities, total population, 67,578,820; group I, 36 cities, total population 23,871,774.
90
Table 32. — Urban crime rates, 1.950, by geographic divisions and States
[Offenses known per 100,000 inhabitants. Population figures based on 1950 decennial census preliminary
counts]
Division and State
Murder,
nonneg-
ligent
man-
slaughter
Rob-
bery
Aggra-
vated
assault
Burg-
lary-
breaking
or enter-
ing
Lar-
ceny-
theft
Auto
theft
5.11
50.0
73.4
i 356. 4
i 894. 9 153. 4
1.07
16.5
11.7
251.5
600.3 109.6
1.35
1.42
1.00
.74
1.09
14.5
10.0
19.9
5.6
12.9
.9
27.6
20.8
8.0
9.8
3.3
14.7
.9
35.4
272.7
232. 2
238. 3
192.8
345.5
169.8
2 224. 9
577.5
724.8
594.7
496.7
649.1
586.0
2 447. 4
97.4
123. 8
91.4
85.8
96.6
2.60
2.27
1.56
3.46
4.21
25.8
9.9
40.4
66.0
46.3
19.6
40.4
67.5
277.4
204.8
3 204. 2
325.8
465. 7
510 2
3 360. 0
861.4
104.5
97.7
128.0
5.26
4.65
4.11
4.08
.84
3.70
104. 9
33. 5
74.7
45.8
9.7
40.1
86.0
40.0
116.4
38.2
10.7
53.4
314.4
375. 7
422.4
303. 1
161.5
292.2
560.0
921.2
1,306.1
874. 1
801.4
824.7
128.3
102.6
1.30
3.73
1.64
7.23
3. 32
11.4
37.3
27.7
76.6
24. 6
4.5
9.4
50.1
6.5
28.1
6.2
141.0
29.4
3.2
5.5
218.7
220.4
364.6
216.9
370.8
265.4
272.9
250.0
430.9
770.8
932.8
747.7
830.6
976.0
927.1
663. 3
929.6
106.2
1.11
10.97
74.7
192.0
6.18
11.86
17. 79
7. 59
13.23
9.41
11. SI
2. 119
14.44
36.3
55.0
40.0
49.0
30.8
25.0
64.6
32.5
53.7
13.9
106.6
156. 8
104. s
451. 1
107. 5
212.4
51.8
119.7
357.5
665.6
318.5
240.7
431.4
395. 9
509.9
326. 4
394.0
1,013.9
1, 148. 7
773. 3
566.7
768. 2
1,012.2
1,257.5
584.0
662.5
Maryland-..
284.9
137.1
18.96
10. 26
12.14
14.68
9.59
40.3
82.2
23. 9
56. 6
42.2
146.3
114.6
104. 7
106.6
74.7
372. 9
509.6
286.0
370. 9
457.3
617. 3
852.6
529.6
614. 2
1,001.8
102. S
Arkansas
6.98
9.87
3. 76
11.11
3.10
27.9
42.9
41.1
43.9
52.9
84.2
79.5
36. 2
80.8
37.2
329.7
283.9
499. 3
517.4
492.8
581.3
580.8
1. 186. 7
1,141.6
1, 549. 5
102.9
Oklahoma.
205.5
224.2
Arizona
5. 42
2.73
4.07
2.12
7. id
3. 1 1
1.64
2.78
3.07
78.2
71.1
34.6
51.4
72.0
26.8
26.5
65.8
79.3
92.7
29.1
19.3
41.9
62.0
40. 1
18.9
36.1
59.6
622.4
614.6
437.2
350.9
7io.3
306. 1
428.7
354.8
512.4
2,138.0
1,670.8
1.423.4
1,319.8
2,117.9
948.6
1, 467. 3
1 . 57S. 1
1, 568. 1
347.6
199. 5
Idaho
166 :
258.7
335.7
27!..".
Utah
160. 1
178.8
229.0
3.21
l.si
2.98
84.5
49.8
66.8
29^6
20.3
522.4
467. 5
4S1.5
1.590.5
1.446.4
1.510.5
233. 0
208.2
218.3
1 The rates for burglarv and larcenv are based on the report-; of 2, 290 eities with a total population of
67,578,820.
- The rates for burglary ami larceny are based on the reports <>f 504 cities with a total population of
10,221,704.
' The rates for burglary and larceny are based on the reports of 210 cities
1 Includes the report of the District of Columbia.
91
Table 33. — Urban crime rates, 1950, by geographic divisions and population groups
[Offenses known per 100.000 inhabitants. Population figures based on 1950 decennial census preliminary
counts]
Division and group
Murder,
Bur-
nonneg-
Rob-
bery
Aggra-
glary-
Lar-
Auto
theft
ligent
vated
breaking
ceny-
man-
assault
or enter-
theft
slaughter
ing
5.11
50.0
73.4
i 356. 4
i 894. 9
153.4
1.07
16.5
11.7
251.5
600.3
109.6
1.39
34.0
27.8
161.1
616.0
216. 1
1.45
18.5
14. 9
328.7
644.0
122.8
.24
13.8
7.2
250.6
649.7
94.0
1.76
12.2
4.9
252.7
618.4
75.9
.48
6.2
4.3
171.4
419.7
45.8
.68
4.8
6.2
231.7
434. 7
55.7
2.60
27.6
35.4
2 224. 9
2 447. 4
96.6
4.77
55.3
59.8
3 292. 5
3 432. 1
131.8
1. 89
20.7
30.7
251.8
523.8
109.7
2.24
16. 7
33.7
278.2
492.9
106.4
1.06
12.5
22.7
207.9
538.2
72.9
1.61
111.7
17.3
161.3
399.1
62.2
.72
9.7
14.7
163.1
340.8
51.2
4.21
66.0
67.5
325.8
861.4
128.0
6.15
110. 2
107.8
375.1
907.4
151.8
4.97
47.1
79.4
374. 3
1, 123. 6
157.0
3. 03
31. 1
46.9
326.3
893. 2
128.1
1.96
22.6
16.4
273. 5
867.1
108.8
1.51
17.0
13.7
232.8
746.3
78.7
1.32
14.7
8.1
21.3. 0
486.1
65.9
3.70
40.1
53.4
292.2
824.7
134.5
6.61
80.0
127.4
357.3
897.0
171.0
4.37
37.5
24.1
356.4
1,012.5
211.8
1.66
21.4
25.6
321.0
1, 174. 0
161.0
2.17
13.4
7. 9
271.1
845.2
93. 2
1.38
13.6
7. 3
209. 0
651.0
72.4
1.49
10.6
10.1
169.4
408.6
57.9
10.97
50.1
218.7
430.9
929.6
192.0
12.01
72.5
290.8
355.8
885.0
252.8
13. 65
79.6
181.4
679.1
1,343.7
258.1
10.58
36.6
230.0
449.3
962.7
168.4
7. 93
24.2
206.1
419.8
958.4
151.3
9.90
22.0
162.3
339.6
631. 8
113.9
9.09
27.0
146.9
268. 1
542.4
90.3
14.44
53.7
119.7
394.0
662.5
193.1
14.06
93.1
105. 3
512.8
881.6
254.6
19.69
48.5
169.1
442.5
634.0
246.6
11.40
34.6
127. 2
446.4
841.4
160.7
11.35
31.4
157. 6
242.5
579.6
151.7
15.68
27.9
92.8
303.9
499.5
123.3
10.25
20.5
46. 1
210.2
215. 3
71.8
9.59
42.2
74.7
457.3
1,001.8
207.1
13. 21
58.4
84.3
590.1
1, 143. 7
268.5
7.26
48.8
60.6
502.4
1, 174. 4
233.9
10.85
46.9
119.5
428.5
1,297.5
238.6
4.32
14.4
73.9
318.7
795. 6
125.2
6.95
17.8
46.0
264.9
585.4
100.5
6.69
15.4
55.9
218.0
404.8
72.2
3.10
52.9
37.2
492.8
1, 549. 5
224.2
3.39
101.7
36.6
796.6
1,895.1
247.8
4.18
51.5
48.4
565. 9
1, 880. 8
273. 0
1.30
38. 3
35.1
315.1
1, 359. 1
419.0
3. 75
52.5
52.2
455.9
1. 749. 5
269.5
2.11
22.5
21.4
358.9
1.374.0
160.3
2.99
39.6
30.9
369. 3
1,038.0
114.3
3.07
79.3
59.6
512.4
1, 568. 1
229.0
3.74
107.9
91.2
543.7
1,479.3
266.8
2.66
78.1
32.8
516. 2
1, 635. 6
223.5
2.89
67.2
49.5
588.3
1 791 3
205.1
2.30
42.5
19.3
473.4
1,637.3
167.8
2.06
36.4
21.9
429.2
1.684.5
179.9
2.19
29.0
18.0
395.5
1,441.8
182. 0
Total-
New England
Group I
Group II
Group III
Group IV
Group V
Group VI
Middle Atlantic
Group I
Group II
Group III
Group IV
Group V
Group VI
East North CentraL.
Group I
Group II
Group III
Group IV
Group V__
Group VI
West North CentraL
Group I
Group II
Group III
Group IV
Group V._
Group VI.
South Atlantic <
Group I
Group II
Group III
Group IV
Group V
Group VI
East South CentraL.
Group I
Group II
Group III
Group IV
Group V
Group VI
West South CentraL
Group I
Group II
Group III
Group IV
Group V
Group VI
Mountain
Group I
Group II
Group III
Group IV
Group V
Group VI...
Pacific
Group I
Group II
Group III
Group IV
Group V
Group VI
1 The rates for burglary and larceny are based on the reports of 2,296 cities with a total population of
67,578,820.
2 The rates for burglary and larceny are based on the reports of 504 cities with a total population of
10,221,704.
3 The rates for burglary and larceny are based on the reports of 4 cities.
* Includes the report of the District of Columbia.
92
Table 34. — Number of cities in each population group, geographic division, and
State represented in the urban crime rate tabulations (tables 81-33)
Total
Population
group
Division and State
Over
250,000
100,000
to
250,000
50,000
to
100,000
25,000
to
50,000
10,000
to
25,000
Less
than
10,000
Total:
Population, 09,643.614
2.297
37
67
123
238
635
1,197
New England:
142
1
11
17
25
37
51
21
21
64
16
9
11
505
4
2
10
1
3
5
2
13
2
2
1
38
4
8
16
6
2
1
134
6
10
1
6
18
New Hampshire
7
1
1
9
Middle Atlantic:
Population, 1 2,286, 408
5
12
22
294
128
166
211
546
1
2
2
9
4
4
4
10
8
6
8
30
13
15
10
65
37
43
54
143
65
96
133
East North Central:
Population, 18,511. 8S7
289
143
76
103
147
77
273
1
1
5
4
1
4
2
3
10
4
5
4
9
13
10
10
20
12
18
41
15
30
42
15
71
77
42
53
72
45
West North Central:
Population, 6,181,695
5
166
Iowa
61
52
63
45
26
11
15
233
2
1
4
1
2
2
4
......
29
10
19
14
13
8
3
4
59
39
28
2
2
44
2
1
24
1
16
6
1
19
9
South Atlantic:
Population, 7,395,553
3
8
115
5
1
43
32
16
52
23
40
21
108
1
1
3
1
2
3
9
3
2
5
5
4
14
9
8
6
16
5
10
5
28
20
1
1
16
7
1
5
3
3
3
4
25
2
20
9
l i t South Central:
Population, 3,247.540
3
5
54
Alabama
29
32
23
24
147
\
2
1
2
1
3
4
5
2
15
8
6
8
6
55
14
19
Mississippi
1
5
3
8
West South Central:
Population, 5,860,844.. _
9
55
21
22
27
77
119
1
2
2
3
2
4
4
3
4
12
8
14
27
24
10
1
7
8
4
1
9
2
Mountain:
78
12
26
20
14
5
16
18
8
224
1
1
2
3
2
1
22
......
6
3
1
2
4
84
10
1
1
1
Utah
1
3
Pacific:
6
6
11
156
29
39
4
1
4
11
15
2
5
65
18
\\ ashington
2
20
OFFENSES IN INDIVIDUAL AREAS
Offenses in Individual Cities With More Than 25,000 Inhabitants
The number of offenses reported as having been committed during
the period of January-December, 1950, is shown in table 35. The
compilation includes the reports received from police departments in
cities with more than 25,000 inhabitants. Police administrators and
other interested individuals will probably find it desirable to compare
the crime rates of their cities with the average rates shown in tables
31, 32, and 33 of this publication. Similarly, they will doubtless
desire to make comparisons with the figures for their communities for
prior periods, in order to determine whether there has been an increase
or a decrease in the amount of crime committed.
Caution should be exercised in comparing crime data for individual
cities because the differences in the figures may be due to a variety of
factors. Such comparisons are not desirable even though the figures
for individual communities are converted into terms of the number of
offenses per 100,000 inhabitants. ~
The following is a list of some of the factors which affect the amount
of crime in the community:
Population of the city and metropolitan area adjacent thereto.
The composition of the population with reference particularly to
age, sex, and race.
The economic status and activities of the population.
Climate.
Educational, recreational, and religious facilities.
The number of police employees per unit of population.
The standards governing appointments to the police force.
The policies of the prosecuting officials and the courts.
The attitude of the public toward law-enforcement problems.
The degree of efficiency of the local law-enforcement agency.
The figures presented in the following tabulation are those reported
by the individual police departments in the cities represented without
reducing the data to crime rates (number of offenses per 100,000
inhabitants).
In considering the volume of crime committed locally, it is generally
more important to determine whether the figures for a given com-
munity show increases or decreases rather than to ascertain whether
they exceed or fall short of those for some other individual community,
and it should be remembered that the amount of crime committed in a
community is not solely chargeable to the police but is rather a charge
against the entire community.
In publishing these figures the FBI acts as a service agency. The
figures published are those submitted by the contributing agencies.
(93)
94
Table 35. — Number of offenses known to the police, 1950, cities over 25,000 in
population
[Based on 1950 decennial census preliminary counts. Included in this listing are communities classified as
urban places under either the 1940 or 1950 census]
City
Abilene. Tex__.
Abington, Pa-
Akron, Ohio. .
Alameda. Calif
Albany, Ga
Albany, N. Y
Albuquerque, N. M«.
Alexandria, La
Alexandria, Va
Alhambra, Calif
Aliquippa, Pa..
Allentown, Pa_
Alliance, < > 1 1 i* .
Alton, 111
Altoona, Pa
Amarillo, Tex
Amsterdam, N. Y.
Anderson, Ind
Ann Arbor, Mich_
Anniston, Ala
Appleton, AVis..
Arlington, Mass.
Arlington, Va
Asheville, N. C_
Ashland, Ky
Athens, Ga
Atlanta, Ga
Atlantic City, N. J.
Auburn, N. Y
Augusta, Ga
Aurora, 111
Austin, Tex
Bakersfield. Calif.
Baltimore, Md
Bangor, Maine
Barberton, Ohio
Baton Rouge, La
Battle Creek, Mich.
Bay City, Mich
Bayonne, N. J
Beaumont, Tex.
Belleville, 111....
Belleville, N. J..
Bellingham, Wa
Belmont, Mass
Beloit, AVis
Belvedere, Calif
Berkeley, Calif
Berwyn, 111
Bessemer, Ala
Bethlehem, Pa
Beverly, Mass
Beverly Hill . < ':. I il
Billings, Mom
Biloxi, Miss
Binghamton, N. Y
Birmingham, Ala
Bloomfleld, X. .1
Bloomington, 111.
Bloomington, Ind
Murder,
nonneg-
ligent
man-
slaughter
Rob-
bery
A<jL'ra-
vated
assault
Bur-
glary-
breaking
or enter-
ing
1,067
109
147
37
1,496
423
17
Larceny— theft
$5n and Under
over $50
18
225
188
62
42
1.090
435
29
66
Only 5 months reeei
29
79
148
117
1,212
102
146
96
30
137
33
3,8
118
309
111
201
127
677
1,087
1,544
58
194
83
229
51
246
95
Table 35. — Number of offenses known to the police, 1950, cities over 25,000 in
pop ulation — Continued
City
Boise, Idaho
Boston, Mass
Bremerton, Wash-
Bridgeport, Conn.
Bristol, Conn
Brockton, Mass..
Brookline, Mass..
Brownsville, Tex
Buffalo, N. Y.._.
Burbank, Calif...
Burlington, Iowa..
Burlington, Vt
Butte, Mont
Cambridge, Mass.
Camden, N. J
Canton, Ohio
Cedar Rapids, Iowe
Champaign, 111
Charleston, S. C._.
Charleston, W. Va.
Charlotte, N. C
Charlottesville,. Va..
Chattanooga, Tenn.
Chelsea, Mass
Chester, Pa
Chevenne, Wyo..
Chicago, 111
Chicopee, Mass..
Cicero, 111
•Cincinnati, Ohio.
Clarksburg, W. Va
Cleveland, Ohio
Cleveland Heights, Ohio.
Clifton, N.J
Clinton, Iowa
Colorado Springs, Colo.
Columbia, Mo
Columbia, S. C
Columbus, Ga
Columbus, Ohio
Compton, Calif
Concord, N. H
Corpus Christi, Te\
Council Bluffs, Iowa
Covington, Ky
Cranston, R. I
Cumberland, Md
Cuvahoga Falls, Ohio.
Dallas, Tex
Danville, 111
Danville, Va
Davenport, Iowa
Dayton, Ohio
Daytona Beach, Fla.
Dearborn, Mich
Decatur, 111
Denver, Colo
Des Moines, Iowa.
Detroit, Mich
Dubuque, Iowa...
Murder,
nonneg-
ligent
man-
slaughter
Rob-
bery
Aggra-
vated
assault
Bur-
glary-
breaking
or enter-
ing
165
1. 274
65
267
244
116
1,050
362
47
73
143
184
492
405
127
Larceny— theft
$50 and Under
over $50
84
1.913
45
321
21
444
1,590
1,048
111
352
358
276
Only
1 month received
29
75
298
134
538
76
110
424
(')
1,266
40
562
822
206
1.016
7
25
49
56
272
• 67
87
557
(')
360
25
1
83
50
68
19
56
104
31
70
25
14
129
59
755
5,483
4,339
12. 480
8,130
10, 924
5
1
43
32
91
49
80
174
87
189
325
300
1, 270
1.002
2,847
6
65
31
48
589
345
2,015
686
10. 074
5
1
117
27
199
12
3
134
77
132
4
63
38
262
2
1
53
129
598
1
8
37
33
79
37
154
528
383
978
7
14
264
132
259
349
244
2,542
(')
4,289
32
12
439
34
799
1
2
56
40
179
42
224
769
396
1,077
11
6
152
104
474
37
87
273
117
370
5
3
132
38
175
3
1
126
13
146
4
79
32
128
350
626
3,502
920
7, 438
12
4
174
38
162
3
41
131
71
188
10
3
194
86
853
106
232
871
426
2,631
9
42
267
157
328
49
23
522
368
2,349
13
6
212
74
458
425
151
3,299
1,454
6,439
22
7
532
265
1,305
2,320
3,640
9,474
3,021
23, 367
1
41
53
174
See footnote at end of table.
96
Table 85. — Number of offenses known to the police,
-population — Continued
1.9.50, cities over 25,000 in
Murder,
nonneg-
ligent
man-
slaughter
Rob-
bery
Aggra-
vated
assault
Bur-
glary-
breaking
or enter-
ing
Larceny— theft
$50 and Under
over $50
Duluth, Minn
Durham, N. C
East Chicago, Ind
East Cleveland, Ohio,
East Hartford, Conn..
Easton, Pa
East Orange, N. J
East Providence, R. I
East St. Louis, 111
Eau Claire, Wis.—:..
Elgin, 111
Elizabeth, N. J
Elkhart, Ind
Elmira, N. Y
El Paso, Tex
Elvria, Ohio..
Enid. Okla... .
Erie, Pa
Euclid, Ohio.
Eugene. Oreg.
Evanston, 111
Evansville, Ind...
Everett. Mass
Everett. Wash...
Fairmont, W. Va.
Fall River, Mass
Fargo, N. Dak
Fayetteville, N. C._.
Fefndale, Mich
Fitchburg, Mass
Flint, Mich
Fond du Lac, Wis
Fort Dodge, Iowa
Fort Lauderdale, Fla.
Fort Smith, Ark
Fort Wavne, Ind
Fort Worth, Tex....
Framingham, Mass.
Fresno, Calif
Gadsden, Ala
Gainesville, Fla.
Galesburg, 111....
Galveston, Tex_.
Garfield, N.J...
Gary, Ind
(ilendale, Calif
< I loin-ester, Mass
Grand Forks, X. Dak
( Imiid Kapids, Mich
Granite City, ill
i ;h al Falls, Mont
Green Hay, Wis....
Greensboro, N. C
Greenville, Miss...
Greenville, S. C....
Greene Ich, ('cum.
Hackensaek, X. .(
Eagei town, Md
Hamilton, Ohio...
Hamilton, X. .1
I [ammond, Ind
Hamtramck, Mich
Harrisburg, Pa
Hartford, < !onn
Hattiesburg, Miss
29
34
112
14
121
192
274
91
(17
41
162
60
0)
624
70 22
XTo reports received
8
53
217
• 142
366
177
38
131
382
302
905
, 360
410
3,505
39
11
66
801
287
1,367
97
46
144
88
38
211
51
24
126
575
619
799
38
28
101
582
484
897
403
190
845
96
55
72
150
48
362
691
238
2,100
108
14
83
lit
120
457
190
41
149
478
242
456
31
89
92
320
237
484
35
23
94
94
76
126
134
44
222
212
169
234
106
56
178
278
210
534
145
131
271
:;io
145
335
706
337
791
108
100
96
See fool note a1 end of table.
97
Table 35. — Number of offenses known to the police, 1950, cities over 25,000 in
population — Continued
City
Murder,
nonneg-
ligent
man-
slaughter
Rob-
bery
Aggra-
vated
assault
1
1
6
1
2
10
11
41
37
14
196
9
.25
4
40
82
8
49
318
233
25
76
25
3
5
14
4
203
242
22
10
4
18
......
2
1
9
51
6
47
11
13
164
158
7
2
Bur-
glary—
breaking
or enter-
ing
Larceny— theft
$50 and
over
Under
$50
Haverford, Pa
Haverhill, Mass
Hazleton, Pa
Hempstead, X. V
Highland Park, Mich.
High Point. X. C.
Hoboken, N. J_...
Holyoke, Mass
Honolulu, T. H— .
Hot Springs, Ark
Houston, Tex
Huntington, W. Va
Huntington Park, Calif.
Hutchinson, Kans
Independence, Mo
Indianapolis, Ind_.
Inglewood, Calif...
Iowa City, Iowa...
Irondequoit, X. Y.
Irvington, N. J
Ithaca, N. Y
Jackson, Mich.
Jackson, Miss. -
Jackson, Tenn...
Jacksonville, Fla.
Jamestown, NT. Y__
Jersey City, X. J—
Johnson City, Tenn.
Johnstown, Pa
Joliet, 111
Toplin, Mo
Kalamazoo, Mich__.
Kankakee, 111
Kannapolis, X. C
City, Kans.
City, Mo.
Kearny, N. J... ..
Kenosha, Wis
Kingston, X. Y...
Knoxville, Tenn..
Kokomo, Ind
Lackawanna, N. Y_
La Crosse, Wis
LaFayette, Ind
Lafayette, La
Lake Charles, La_
Lakeland, Fla
Lakewood, Ohio_.
Lancaster, Pa
Lansing, Mich
Laredo, Tex
Lawrence,
Lawton, Okla
Lebanon, Pa
Lewiston, Maine.
Lexington, Ky
Lima, Ohio
Lincoln, Xebr
Lincoln Park, Mich.
Linden, N. J
Little Rock, Ark._.
Lockport, N. Y___.
Long Beach, Calif.
Lorain, Ohio
[i 3, Calif
2,364
327
22
49
256
35
445
179
1,446
136
126
30
45
1,323
210
50
2
92
7
147
129
29
79 25
Complete data not received
15
5
4
5
10
6
22
5
8
20.
7
12
1
132
133
60
460
487
8
3
2
3
74
523
14
4
5
36
1
1
1
12
1
5
23
8
33
11
1
12
13
8
9
6
16
19
5
Only 1 month received
Only 6 months ivivived
5
2
50
133
7
15
7
55
10
7
7
47
7
3
1
224
139
17
29
2,280
2,642
230
56
177
602
143
46
155
2, 656
53
4,872
359
469
400
234
3,003
610
152
55
277
130
455
575
189
1,971
155
90
59
831
139
78
221
123
66
254
211
254
319
222
152
724
32
29
72
43
(')
130
582
157
986
1,641
1,744
3, 463
46
40
115
92
47
218
49
56
95
522
409
771
138
40
176
56
21
99
134
57
544
134
78
476
84
72
99
79
109
171
169
100
139
139
35
212
143
59
419
249
96
703
120
30
251
193
55
327
42
37
312
399
285
622
194
151
300
202
162
993
93
127
455
147
37
157
539
(')
1,127
39
81
1,423
(»)
2.941)
103
88
160
10,610
11,210
19, 120
Sir footnote at end of table.
98
Table 35.- -Number of offenses known to the police, 1950, cities over 25,000 in
population — Cont ii 1 1 1< h 1
Murder,
nonneg-
Iigent
man-
slaughter
Rob-
bery
Aggra-
vated
assault
Bur-
glary-
breaking
or enter-
ing
Larceny— theft
•.Ml:,,,. I ! mler
over $60
Louisville, Ivy..
Lowell, Mass...
Lower Merion, ;
Lubbock, Tex...
Lynchburg, Va.
Lynn, Mass
Lynwood, Calif.
Macon, Ga
Madison, Wis...
Maiden, Mass..
Manchester, N. 11
Manitowoc, Wis...
Mansfield, Ohio ....
Marion, Ind
Marion, Ohio
Mason City, Iowa.
Massillon, Ohio
May wood, 111
McKeesport, Pa._.
Medford, Mass
Melrose, Mass..
Memphis, Tenn.
Meriden, Conn.
Meridian, Miss..
Miami, Fla
Miami Beach, Fla..
Michigan City, Ind.
Middletown, Conn.
Middletown, Ohio..
Milwaukee, Wis
Minneapolis, Minn.
Mishawaka, Ind.l..
Mobile, Ala
Moline, 111
Monroe, La
Montclair, N. J
Montgomery, Ala
Morgantown, W. Va..
Mount Lebanon, Pa..
Mount Vernon, N. Y.
Muncie, Ind
Muskegon, Mich.
Muskogee, Okla. .
Nashua, N. H...
Nashville, Tenn
New Albany, Ind...
Newark, N. J
Newark, Ohio
New Bedford, Mass.
New Britain, Conn.
\r\v Brunswick, N. J..
Newburgb, N. Y
New Castle, Pa
Nev Haven, Conn
New Kensington, Pa...
New London, Conn
New Orleans, La...
Newport, K >
New port, I!. I
Newport News, Va
New Bochelle, N. Y
Newton, Mass
New York, N. V .
Niagara Falls, N. V
Norfolk, Va
2, 674
282
113
278
140
298
149
341
211
114
97
48
121
40
79
Only 7 months received
6
3
14
27
47
4
2
3
14
381
563
9
11
4
8
26
LIS
3
24
9
4
A\
13 I 84
!91 | 844
98
62
184
90
38
119
679
375
871
37
29
79
133
54
186
!,074
1,390
2, 108
90
16
126
97
51
212
221
157
545
98
52
104
•_'7.r.
159
589
a not
v,vi\ ed
260
137
273
,648
1,132
2, 272
99
Table 35. — Number of offenses known to the police, 1950, cities over 25,000 in
-population — Continued
City
Murder,
nonneg-
ligent
man-
slaughter
Rob-
bery
Aggra-
vated
assault
Bur-
Larceny—theft
glary—
breaking
or enter-
$50 and
Under
ing
over
$50
49
66
154
29
13
47
30
18
59
94
38
89
114
49
206
101
(')
243
93
42
115
35
18
33
2,614
441
6,309
132
61
202
49
24
141
78
59
79
243
151
1,080
1,701
887
3,026
767
420
2, 365
113
36
98
257
167
400
88
68
55S
84
23
157
143
76
331
18
(')
33
59
111
577
76
25
34
71
32
144
38
56
135
621
355
1,183
146
100
281
582
132
549
238
84
433
303
120
542
416
176
911
42
(')
153
151
160
525
5,868
2,716
2, 450
643
441
2.074
139
125
140
2,142
770
693
124
28
194
112
116
331
116
76
58
200
76
558
383
157
330
68
41
248
122
59
419
218
197
822
. 2, 188
1,376
4,543
212
78
377
376
192
460
131
49
343
1,055
418
1,435
88
12
530
Norman, Okla
Norristown, Pa
Northampton, Mass
North Bergen, N. J
North Little Rock, Ark.
Norwalk, Conn_
Norwood, Ohio_
Nutlev, N. J
Oakland. Calif..
Oak Park, 111...
Oak Ridge. Term
Odessa, Tex
Ogden, Utah
Oklahoma City. Okla.
Omaha, Nebr
Orange, N. J
Orlando, Fla
Oshkosh, Wis...
Ottumwa, Iowa.
Owensboro, Ky.
Paducah, Ky
Palo Alto, Calif
Panama City, Fla...
Parkersburg, W. Va.
Parma, Ohio
Pasadena, Calif..
Passaic, N. J
Paterson, N. J.._
Pawtucket, R. I.
Pensacola, Fla...
Peoria, 111
Perth Amboy, N. J.
Petersburg, Va
Philadelphia, Pa
Phoenix, Ariz
Pine Bluff, Ark_.
Pittsburgh, Pa...
Pittsfield, Mass..
Rlainfield, N. J_.
Pocatello, Idaho.
Pomona, Calif
Pontiac, Mich
Port Arthur, Tex__
Port Huron, Mich.
Portland, Maine...
Portland, Oreg
Portsmouth, Ohio...
Portsmouth, Va
Poughkeepsie, N. Y.
Providence, R. I
Provo, Utah..
Pueblo, Colo..
Quincy, 111
Quincy, Mass.
Racine, Wis..
Ralriuh, N. C
Rapid City, S. Dak...
Reading, Pa
Redondo Reach, Calif.
Redwood City, Calif..
Reno, Nev
Revere, Mass
Richmond, Calif.
Richmond, Ind_.
Richmond, Va...
9
7
14
2
14
5
23
141
1
3
14
18
8
3
5
7
34
17
10
4
56
10.3
14
20
179
275
No reports received
78
55
256
219
64
524
256
93
7.38
267
261
515
61
47
104
332
103
483
172
18
233
93
23
445
287
254
620
137
57
95
480
190
2,272
75
65
107
,643
774
2,784
See footnote at end of table.
100
Table 35. — Number of offenses known to the police, 1950, cities over
population — Continued
City
Murder,
nonneg-
ligent
man-
slaughter
Rob-
bery
Aggra-
vated
assail II
Bur-
glary-
breaking
or enter-
ing
Larceny— theft
$50and Under
over $50
Riverside, Calif. _.
Roanoke, Va
Rochester, Minn..
Rochester, N. Y_.
Rock ford, 111
Rock Island, HI
Rocky Mount, N. C.
Rome, Ga
Rome, N. Y
Roswell, N. Mex
Royal Oak, Mich.
Sacramento, Calif.
Saginaw, Mich
St. Cloud, Minn..
St. Joseph, Mo
St. Louis, Mo
St. Paul, Minn
St. Petersburg, Fla.
Salem, Mass —
Salem, Oreg
Salinn,, Kans
Salt Lake City, Utah.
San Angelo, Tex
San Antonio, Tex
San Bernardino, Calif.
San Diego, Calif
Sandusky, Ohio
San Francisco, Calif-
San Jose, Calif
San Leandro, Calif..
San Mateo, Calif
Santa Ana, Calif
Santa Barbara, Calif.
Santa Fe, N. Mex...
Santa Monica, Calif..
Savannah, Oa
Schenectady, N. Y
Scranton, Pa
Seattle, Wash
Shaker Heights, Ohio.
Sharon, Pa
Sheboygan, Wis ....
Shreveport, La
Sioux City, Iowa....
Sioux Falls, S. Dak.
Somerville, .Mass
South Bend, End ...
South (late, Calif
Spartanburg, 8. C_.
' ine, Wash
Springfield, 111
Springfield, Mass
Springfield, Mo
Springfield, Ohio.
Stamford, Conn
Steubenville, ( >bio
Stockton, i
Strat ford, Conn
Superior, Wis
- ■ i i.-u e, \. Y
Taconia, Wasli
Tallahassee, I'la
laiiipa, Fla
Taunton, Ma
Teaneck, \. ]
84
4
1,037
34
10
10
14
14
4
49
3, 744
1,047
521
153
1,873
502
7!" I
91
1. <)_>_'
136
142
130
174
144
99
467
210
318
2,913
49
31
64
142
240
210
48
345
156
112
50
48
25
81*
1.406
367
252
997
76
1,446
82
40
101
73
130
57
462
524
102
151
1, 222
38
25
101
Table 35.
-Number of offenses known to the police, 1950, cities over 25,000 in
population — Continued
Murder,
nonneg-
ligent
man-
slaughter
Rob-
bery
Aggra-
vated
assault
Bur-
Larceny—theft
glary-
breaking
or enter-
$50 and
Under
ing
over
$50
433
93
519
1,365
754
2,817
378
190
1,017
18
13
51
313
214
354
311
102
46
369
224
1,134
1,307
824
1. 736
96
65
162
74
43
116
153
47
128
74
49
77
177
81
144
136
54
329
194
90
508
78
38
107
141
93
327
46
32
44
211
41
756
145
37
343
198
38
298
154
94
118
3,618
1,759
7,941
42
27
128
* 258
119
346
190
32
413
56
50
164
92
63
273
112
68
255
33
16
296
52
34
136
37
31
331
50
21
68
102
16
54
58
19
9
45
44
81
157
78
203
Terre Haute, Ind -
Toledo, Ohio
Topeka, Kans
Torrington, Conn.
Trenton, N.J
Troy, N. Y
Tucson, Ariz
Tulsa, Okla
Tuscaloosa, Ala.
Tyler, Tex
Union City, N. J
Union Township, N. J.
University City, Mo...
Upper Darby, Pa
Utica, N. Y
Valley Stream, N. Y.
Vancouver, Wash
Vicksburg, Miss
Waco, Tex
Waltham, Mass
Warren, Ohio
Warwick, R.I
Washington, D. C.
Washington, Pa
Waterbury. Conn..
AVaterloo, Iowa
Watertown, Mass.
Watertown, N. Y.
Waukegan, 111
Wausau, Wis
Wauwatosa, Wis
West. Allis, Wis
West Hartford, Conn.
West Haven, Conn...
West New York, N. J.
West Orange, N. J
West Palm Beach, Fla.
Weymouth, Mass
Wheeling, W. Va
White Plains, N. Y____
Wichita, Kans
Wichita Falls, Tex.
Wilkes-Barre, Pa...
Wilkinsburg, Pa...
Williamsport, Pa...
Wilmington, Del
Wilmington, N. C
Winston-Salem, N. C_
Woodbridge, N.J
Woonsocket, R. I
Worcester, Mass..
Wyandotte, Mich.
Yakima, Wash....
Yonkers, N. Y_...
York, Pa
Youngstown, Ohio.
Zanesville, Ohio
4,2115
-.2
2
7
9
8
72
51
49
58
109
9
20
9
1
21
37
4
18
316
35
186
2
No reports received
Ids
83
151
115
147
244
853
280
1, 538
457
226
1,067
123
96
163
91
15
153
116
50
374
418
276
951
330
119
348
501
175
445
5
44
11
4
2
29
14
20
42
20
6
53
37
9
No reports received
107
99
193
658*
338
952
72
62
231
158
173
1,176
330
109
666
127
63
387
423
350
762
106
63
254
Larcenies not separately reported. Figure listed includes both major and minor larcenies.
102
Offenses in Territories and Possessions
A complete set of reports was received during 1 950 from six Terri-
tories and possessions of the United States and the available data are
shown in table 36. Figures included are those reported by the First
Judicial Division of Alaska; Honolulu City and Honolulu County I
separately, Kauai County and Maui County in the Territory of '
Hawaii; and Puerto Rico. The figures include both urban and rural j
crime except that the data for Honolulu City do not include offenses
occurring in Honolulu County.
Table 36. — Number of offenses known in United States Territories and possessions,
1950
[Population figures based on 1950 decennial census preliminary counts]
Murder,
nonneg-
ligent
man-
slaughter
Rob-
bery
Aggra-
vated
assault
Burgla-
ry-
breaking
or enter-
ing
Larceny— theft
Auto
theft
Jurisdiction reporting
Over
$50
Under
$50
Alaska: First judicial division (Juneau),
population, 27,572; number of offenses
2
5
3
1
3
1
40
4
2
82
21
5
10
772
19
991
281
72
99
1,936
10
477
95
11
19
410
12
2,666
441
143
273
5.570
Hawaii:
Honolulu City, population, 245,612;
HonoluluCounty, population, 101 ,917;
Kauai County, population, 29,838;
Maui County, population, 48,387;
5
Puerto Rico: Population, 2,205,398; num-
245 72
58
SUPPLEMENTAL CRIME DATA
While all police agencies participating in the uniform crime report-
ing program forward monthly Return A reports to the FBI, the
cities with population over 25,000 are requested also to forward
a Supplement to Return A furnishing additional information relative
to the part I offense classes, with the exception of criminal homicide
and aggravated assault. While the records systems of all large city
police departments do not readily provide complete information
requested on the Supplement to Return A, most of them do and thus
it is possible to summarize additional data relative to most of the part
I offense classes.
The police in 359 cities over 25,000 in population reported a total
of 458,464 larceny offenses, 23.2 percent of which involved property
valued in excess of $50, and in 61 percent of the cases the property
stolen was valued at from $5 to $50 and the remaining 15.8 percent
constituted thefts of property valued at less than $5.
The larceny classification constitutes the largest single group of
offenses known to the police and the supplemental reports indicate that
17.5 percent of these crimes are thefts of some type of auto accessory,
while 21.2 percent are thefts of other types of property from automobiles.
Thus in 38.7 percent of all the larcenies, something is stolen from an
automobile. Bicycle thefts make up another 15 percent of larceny
offenses.
These reporting cities showed a total of 190,885 offenses of burglary-
breaking or entering and four-fifths of these offenses were committed
during the night. Of those burglaries involving nonresidence struc-
tures, 9 out of 10 were committed during the hours of darkness,
while less than two-thirds of the burglaries of residences were com-
mitted during the night.
Of the 30,425 robbery offenses reported by the cities represented
in the following tabulation, 56.9 percent were the so-called highway
robberies, while nearly one-third were robberies in some type of
commercial establishment.
The Supplement to Return A reports forwarded by these larger
cities indicate that 44.5 percent of the rape offenses recorded were
statutory in character (no force used' — victim under the age of
consent) .
The police in the 359 cities mentioned above reported 85,865
automobile thefts in 1950 and 78,709 or 91.7 percent of the stolen cars
recovered.
103
104
Table 37. — Offense analysis, by nature of criminal act, time and place of commission,
and value of property stolen, 1950
[Offenses known to the police in 359 cities over 25,000 in population; total population, 48,022,808 based on
11 i".o decennial census preliminary counts]
Classification
Number of
offenses
Percent dis-
tribution
Rape:
6,061
3,361
2,700
Robbery:
Total
30, 425
100 0
17,311
8,100
1,263
531
1,703
60
1,457
Burglary— breaking or entering:
190, 885
Residence (dwelling):
47, 432
25, 024
106, 494
11,935
Nonresidence (store, office, etc.):
Larceny— theft (except auto theft) (grouped according to value of article
stolen):
458, 464
100.0
106, 355
279, 823
72, 286
61.0
Under $5
Larceny— theft (grouped as to type of offense):
458, 464
100.0
6,860
8,339
20, 272
97, 036
80, 448
68, 873
176, 636
1.8
15.0
38.6
Of the cities represented in the foregoing tabulation, 353 were in a
position to furnish also complete information relative to the value of
property stolen according to type of crime, and they showed $130,-
304,673 taken in the 745,781 crimes against property during 1950, for
an average value of $175 for each offense. The loot taken in the
average robbery amounted to $248, while in burglaries the average
value of the property stolen was $127 and in larcenies, $58. The
average car stolen was valued at $886.
105
Table 38. — Value of property stolen, by type of crime, 1950
[Based on the reports of 353 cities over 25,000 in population; total population, 45,631,489 based on 1950 decen-
nial census preliminary counts. All values have been rounded off to even dollars]
Classification
Number of
offenses
Value of prop-
erty stolen
Average
value per
offense
Total.
745, 781
$130, 304, 673
29, 770
185, 566
447. 579
82, 866
7, 370, 322
23, 635, 085
25, 881, 387
73, 417, 279
Among the cities over 25,000 in population, 342 reported complete
information relative to the value of property stolen and the value ot
property recovered with subdivision as to type of property. Exclud-
ing automobiles, property stolen in these communities was valued at
$53,308,839 and 19.5 percent or $10,402,721 was recovered during
1950.
Table 39. — Value of property stolen and value of property recovered, by type of
property, 1950
on reports of 342 cities over 25,000 in population; total population, 44,228,484 based on 1950 decennial
census preliminary counts. All values have been rounded off to even dollars]
Type of property
Value of prop-
erty stolen
Value of prop-
erty recovered
Percent
recovered
Total
$121, 580, 198
$73, 215, 882
60.2
Currency, notes, etc
Jewelry and precious metals
16, 180, 865
8, 926, 171
2, 363, 234
5, 982, 455
68, 271, 359
19, 856, 114
1, 939, 017
1, 760, 100
151,612
988, 198
62, 813, 161
5, 563, 794
12.0
19.7
6.4
Clothing
16.5
92.0
Miscellaneous _ . .__ .
28.0
DATA COMPILED FROM FINGERPRINT RECORDS
Source of Data
During 1950 the FBI examined 793,671 arrest records, as evidenced
by fingerprint cards, in order to obtain data concerning the age, sex,
race, and previous criminal history of the persons represented. The
compilation has been limited to instances of arrests for violations
of State laws and municipal ordinances. In other words, fingerprint
cards representing arrests for violations of Federal laws or representing
commitments to any type of penal institutions have been excluded
from this tabulation.
The number of fingerprint records examined exceeded the 792,029
prints handled during 1949 by 0.2 percent. The tabulation of data
from fingerprint cards obviously does not include all persons arrested,
since there are individuals taken into custody for whom no fingerprint
cards are forwarded to Washington. Furthermore, data pertaining
to persons arrested should not be treated as information regarding
the number of offenses committed, since two or more persons may be
involved in the joint commission of a single offense, and on the other
hand, one person may be arrested and charged with the commission
of several separate crimes.
Offense Charged
More than 41 percent (330,794) of the records examined during
1950 represented arrests for major violations. Persons charged with
murder, robbery, assault, burglary, larceny, and auto theft numbered
213,713, constituting 26.9 percent of the total arrest records examined.
Sex
Fingerprint cards representing arrests of males during 1950 num-
bered 717,088, a 0.5 percent increase over the 713,444 cards received
during 1949.
Female arrest prints decreased 2.5 percent, from 78,585 during
1949 to 76,583 during 1950, during which year they constituted 9.6
percent of the total arrests.
106
107
Table 40. — Distribution of arrests by sex, 1950
Offense charged
Total. -
Criminal homicide
Robbery .
Assault
Burglary— breaking or entering
Larceny —theft
Auto theft
Embezzlement and fraud
Stolen property; buying, receiving, etc
Arson
Forgery and counterfeiting
Rape
Prostitution and commercialized vice-
Other sex offenses
Narcotic drug laws
Weapons; carrying, possessing, etc
Offenses against family and children- _
Liquor laws
Driving while intoxicated
Road and driving laws
Parking violations.
Other traffic and motor vehicle laws.- -
Disorderly conduct
Drunkenness
Vagrancy
(iainbling
Suspicion
Not stated
All other offenses
793, 671
717,
3,583
5, 482
IS, 930
53, 168
42, 564
58, 409
17, 905
19. 505
3,014
932
10, 395
9, 323
14, 255
293
12. 649
39, 078
n ,:. ?m
Vi, 965
41.291
7,083
34, 401
1,109
7,622
493
1,934
275
122
1, 348
5,241
2,874
1,044
1,794
2,128
316
16
403
6. 360
15. 963
7.006
1,525
4,903
847
3,921
2.5
7.5
5.5
8.3
2.3
2.7
.4
.1
1.5
1.2
2^5
1.1
1.3
1.9
1.4
6.5
1.8
(0
1.6
5.7
22.6
6.1
2.0
5.8
1.0
4.8
2.6
7.4
5.9
8.2
2.5
2.7
.4
1.4
1.3
.5
2.3
1.0
1.4
2.0
1.3
6.9
2.0
(>)
1.8
5.4
22.8
5.8
1.9
5.8
1.0
4.8
1.1
8.3
1.4
10.0
.6
2.5
.4
.2
1.8
1.1
2.3
2.8
.4
(')
.5
8.3
20.9
9.1
2.0
6.4
1.1
5.1
Less than Mo of 1 percent.
108
5S
s B
o
/
H
■s
6
CO
glKlli
i • w ill liiiiiiiiiiiiiiiB
CO
I
^IIIIIIIIIIIIIII
!!■ m R
11 i
•5
CO
CO
1 1
u
4>
<
■s
E
0
1
-o
_4>
'5.
E
2
o
h-iiiii«i«i«i«««««««
P
CO
LTO
^"HI
p
CV4
03
piH
c
01
3
Z
CNI
Si
H
CNI
[
NUMBER OF PERSONS
ARRESTED
MALE AND FEMALE
AGES 16 TO 24 CALENDAR YEAR 1950
^liraiiiiraiiiiii™
ej.ii.i,iii.iiiliii.i.iiiliiiiiiiiiiiiiiiiiiiiiiniiii_
109
Age
During 1950, males and females under 21 years of age arrested and
fingerprinted numbered 118,426, constituting 14.9 percent of the total
arrests. In addition, there were 123,943 (15.6 percent) between the
ages of 21 and 24, making a total of 242,369 (30.5 percent) less than
25 years old. Arrests of persons 25 to 29 years old numbered 132,620
(16.7 percent). The resultant total is 374,989 (47.2 percent) less
than 30 years of age. It should be remembered that the number of
arrest records is doubtless incomplete in the lower age groups because
of the practice of some jurisdictions not to fingerprint youthful
offenders.
Youths played a predominant part in the commission of crimes
against property as indicated by the following figures: During 1950,
there were 185,406 persons of all ages arrested for robbery, burglary,
larceny, auto theft, embezzlement, fraud, forgery, counterfeiting, re-
ceiving stolen property, and arson; and 53,618 (28.9 percent) of those
persons were less than 21 years old.
The extent of the participation of youths in the commission of
crimes against property is further indicated by the following figures:
During 1950, 30.5 percent of all persons arrested were less than 25
years of age. However, persons less than 25 years old numbered 54.1
percent of those charged with robbery, 61.6 percent of those charged
with burglary, 45.4 percent of those charged with larceny, and 67.3
percent of those charged with auto theft. Approximately one-half of
all crimes against property during 1950 were committed by persons
under 25 years of age.
For males and females combined, the figures for the groups in
which the largest number of arrests occurred during 1950 are as
follows:
Age ' Number of arrests
21-. 32, 313
22_ .. 32,160
23 30,436
24. 29,034
25 28,816
The frequency of male arrests were for ages 21, 22, 23, 20, and 24.
Arrests for females showed the largest number occurring at age 22,
followed by ages 23, 24, 25, and 21 in that order.
110
imm^n innMf ot
,«„ ^agrtt-M
'4 r' II 2 ~ - - i- -' '- -1 y ■= .< :i ,=. y 3 2 2 § I"
'— ro X Q C - rn CI ^ N T 'C •- t C I- T 05 CD t- CO
toon«c
z--,--
lOOO'XOlNON
C I - ~ C
: -i re :^ : / x / - c r
> CC 00 f~C<
.g*C
)ooo r^mcxN
ICONrfOt
i?tXTr-ci-H v- — -r r --r >- » ri *-~ * i- ci —. -c: re re m i-
7iyJ!:S3S?5-
iNh cq -h
; = ~J ?": T •
< -r re -r ^ co co 'J2 ic-r ti-.
c ---"-: i~ -r n :i n c :i r. I". >.: r > - ~ x — ~ :- r. :- - ?i '"
..-. a s_ i_- - r- ■- -r -. o o « c-) r- ic « n- <m t- io«c|jho«s
i£'- = ?
h CS O ^ <M 00 CO ' O
^<
icoooioiniN
ii-aiNcooinooo'j'wNiNnr'eotO'Hr-O'ncocc'OOJt
^o,''0*'H'^,''* CO iO CO* CO* iO CD t-*C
)^CM —»
B.3 :§J
Ill
Table 42. — Number and -percentage of arrests of persons under 18, under 21, and
under 25 years of age, 1950
Offense charged
Total
number
of per-
sons
arrested
Num-
ber un-
der 18
years
of age
Num-
ber un-
der 21
years
of age
Total
number
under
25 years
of age
Per-
centage
under
18 years
of age
Per-
centage
under
21 years
of age
Total per-
centage
under 25
years
of age
793, 671
34, 599
118,426
242, 369
4.4
14.9
6,336
19,779
59,496
43,673
66,031
18,398
21,439
3,289
1,054
11,743
9,323
8,579
19,725
8,539
10, 376
15,233
11,260
51,318
14,571
309
13,052
45,438
178,165
48,604
15,490
46, 194
7,930
38, 322
186
1,389
1, 232
7,849
6,041
3,942
235
142
61
346
680
80
445
247
457
43
195
166
339
3
346
1,165
776
1,496
55
3,044
131
3,508
736
5,612
6,150
17, 771
17,954
8,592
1,373
579
169
1,568
2,928
692
2,073
1,546
1, 762
674
1,330
2, 123
2,818
21
2,367
6,164
6,748
'480
9,877
818
8,615
1,712
10, 707
15, 951
26, 8S9
29, 950
12,387
4,328
1,137
341
3,645
5,092
2,491
5,357
3,812
3,769
3,175
2,603
8,378
6,411
84
5,469
14. 334
22, 426
14, 484
1,721
18, 571
1,887
15, 258
2.9
7.0
2.1
18.0
9.1
21.4
1.1
4.3
5.8
2.9
7.3
.9
2.3
2.9
4.4
.3
1.7
.3
2.3
1.0
2.7
2.6
.4
3.1
.4
6.6
1.7
9.2
11.6
28.4
10.3
40.7
27.2
46.7
6.4
17.6
16.0
13.4
31.4
8.1
10.5
18.1
17.0
4.4
11.8
4.1
19.3
6.8
18.1
13.6
3.8
14.2
3.1
21.4
10.3
22.5
Burglary— breaking or entering
61.6
Stolen property; buying, receiving, etc
34.6
Forgery and counterfeiting
Rape
Prostitution and commercialized vice
31.0
54.6
29.0
27.2
44.6
Weapons; carrying, possessing, etc
Offenses against family and children
Liquor laws-
Driving while intoxicated
36.3
20.8
23.1
16.3
44.0
27.2
Disorderly conduct
41.9
31.5
12.6
29.8
11.1
40.2
23.8
39.8
Criminal Repeaters
Of all the 793,671 arrest records examined, 477,574 (60.2 percent)
represented persons who already had fingerprint cards on file in the
Identification Division of the FBI. For males the percentage
having prior records was 61.7 and for females the percentage was 46.1.
These figures pertain to fingerprint arrest records and in no way
relate to the Civil Identification Files of the FBI.
For males and females combined, the percentage with a prior
fingerprint record was 14.8 at age 15, and this figure rose rapidly to
44.0 at age 20. For males, the percentage was 15.5 at age 15 and 45.0
at age 20. For females, the percentage with prior fingerprint records
was 6.9 at age 15 and 33.7 at age 20.
112
Table 43. — Percentage of arrests with previous fingerprint records, 1950
Offense
Percent
Offense
Percent
74.4
70.9
70.3
70. 1
65.9
63. 2
59.1
57.9
56.9
56.9
56.8
56, I
55. 8
55.1
Offenses against family and children
Other traffic and motor vehicle laws
52.4
52.3
51.0
Robbery
Prostitution and commercialized vice
Burglary— breaking or entering
Weapons; carrying, possessing, etc
Stolen property; buying, receiving, etc
50.8
50.2
45.8
45.6
43.8
41.9
41.2
41.1
1 Only 309 fingerprint cards received representing arrests for violations of parking regulations.
Race
Most of the persons represented in this study were members of the
white and Negro races. Members of the white race represented
576,422 of the 793,671 arrest records received, while 205,576 were
Negroes, 7,334 were Indians, 842 Chinese, 285 Japanese, and 3,212
were representatives of other races.
Table -14. — Arrests by race, 1950
Offense charged
Total
all
races
White Negro Indian
All
others
Total
Criminal homicide
Robbery
Assault
Burglary— breaking or entering
Larceny— theft
Auto theft
Em bezzlement and fraud
Stolen property; buying, receiving, etc..
Arson
Forgery and counterfeiting
Rape
Prostitution and commercialized vice
Other sex offenses
Narcotic drug laws
Weapons; carrying, possessing, etc
Offenses against the family and children
Liquor laws
Driving while intoxicated
Road and driving laws
Parking violations
Other traffic and motor vehicle laws
l )isorderly conduct
Drunkenness
Vagrancy
Gambling
Suspicion
Not stated
All other offenses
3,671
576. 422
205, 576
6,336
19,779
59,496
43,673
66,031
18,398
21,439
3,289
1,054
11,743
9,323
8,579
19,725
8,539
10,376
15,238
11,260
51,318
14,571
309
13,052
45,438
178,165
48, 604
15,490
46,194
7,930
38,322
3.372
12. 517
31.277
31. 776
44, 776
14. 695
18, .346
2,209
806
9,927
6. 473
5.190
16. 057
3.939
5.082
11, 708
5. 841
44. 911
10, 746
210
9,463
31,217
143.867
37, 157
7,584
32, 751
6,179
7. 060
27, 619
11,534
20, 672
,£
2. 962
1,050
241
1,689
2.717
3,260
3. 473
4. 262
5.198
3.415
5.306
5,706
3, 662
98
3, 431
13,610
30, 040
10. 657
7.462
13.054
1,555
9,454
1
83
405
3, 513
504
10
251
133
229
OFFENSE CLASSIFICATIONS
In order to indicate more clearly the types of offenses included in part I and
part II offenses, there follows a brief definition of each classification:
Part I Offenses
1. Criminal homicide. — (a) Murder and nonnegligent manslaughter includes all
willful felonious homicides as distinguished from deaths caused by negligence.
Does not include attempts to kill, assaults to kill, suicides, accidental deaths, or
justifiable homicides. Justifiable homicides excluded from this classification are
limited to the following types of cases: (1) The killing of a felon by a peace officer
in line of duty; (2) the killing of a hold-up man by a private citizen, (b) Man-
slaughter by negligence includes any death which the police investigation estab-
lishes was primarily attributable to gross negligence on the part of some individual
other than the victim.
2. Rape. — Includes forcible rape, statutory rape (no force used — victim under
age of consent), assault to rape, and attempted rape.
3. Robbery. — Includes stealing or taking anything of value from the person by
force or violence or by putting in fear, such as strong-arm robbery, stick-ups,
robbery armed. Includes assault to rob and attempt to rob.
4. Aggravated assault. — Includes assault with intent to kill; assault by shooting,
cutting, stabbing, maiming, poisoning, scalding, or by the use of acids. Does not
include simple assault, assault and battery, fighting, etc.
5. Burglary — breaking or entering. — Includes burglary, housebreaking, safe-
cracking, or any unlawful entry to commit a felony or a theft, even though no force
was used to gain entrance. Includes attempts. Burglary followed by larceny
is included in this classification and not counted again as larceny.
6. Larceny — theft (except auto theft). — (a) Fifty dollars and over in value; (b)
under $50 in value — -includes in one of the above subclassifications, depending
upon the value of the property stolen, thefts of bicycles, automobile accessories,
shoplifting, pocket-picking, or any stealing of property or article of value which
is not taken by force and violence or by fraud. Does not include embezzlement,
"con" games, forgery, worthless checks, etc.
7. Auto theft. — Includes all cases where a motor vehicle is stolen or driven away
and abandoned, including the so-called joy-riding thefts. Does not include tak-
ing for temporary use when actually returned by the taker, or unauthorized use
by those having lawful access to the vehicle.
Part II Offenses
8. Other assaults. — Includes allassaults and attempted assaults which are not
of an aggravated nature and which do not belong in class 4.
9. Forgery and counterfeiting. — Includes offenses dealing with the making,
altering, uttering, or possessing, with intent to defraud, anything false which is
made to appear true. Includes attempts.
10. Embezzlement and fraud. — -Includes all offenses of fraudulent conversion,
embezzlement, and obtaining money or property by false pretenses.
11. Stolen property; buying, receiving, possessing. — -Includes buying, receiving,
and possessing stolen property as well as attempts to commit any of those offenses.
113
114
12. Weapons; carrying, possessing, etc. — Includes all violations of regulations or
statutes controlling the carrying, using, possessing, furnishing, and manufactur-
ing of deadly weapons or silencers and all attempts to violate such statutes or
regulations.
13. Prostitution and commercialized vice. — Includes sex offenses of a commer-
cialized nature, or attempts to commit the same, such as prostitution, keeping
bawdy house, procuring, transporting, or detaining women for immoral purposes.
14. Sex offenses (except rape and prostitution and commercialized vice). —
Includes offenses against chastity, common decency, morals, and the like.
Includes attempts.
15. Offenses against the family and children. — Includes offenses of nonsupport,
neglect, desertion, or abuse of family and children.
16. Narcotic drug laws. — Includes offenses relating to narcotic drugs, such as
unlawful possession, sale, or use. Excludes Federal offenses.
17. Liquor laws. — With the exception of "drunkenness" (class 18) and "driving
while intoxicated" (class 22), liquor law violations, State or local, are placed in
this class. Excludes Federal violations.
18. Drunkenness. — Includes all offenses of drunkenness or intoxication.
19. Disorderly conduct. — Includes all charges of committing a breach of the
peace.
20. Vagrancy. — Includes such offenses as vagabondage, begging, loitering, etc.
21. Gambling. — Includes offenses of promoting, permitting, or engaging in
gambling.
22. Driving while intoxicated. — Includes driving or operating any motor vehicle
while drunk or under the influence of liquor or narcotics.
23. Violation of road and driving laws. — Includes violations of regulations with
respect to the proper handling of a motor vehicle to prevent accidents.
24. Parking violations. — Includes violations of parking ordinances.
25. Other violations of traffic and motor vehicle laws. — Includes violations of
State laws and municipal ordinances with regard to traffic and motor vehicles
not otherwise provided for in classes 22-24.
26. All other offenses. — Includes all violations of State or local laws for which
no provision has been made above in classes 1-25.
27. Suspicion. — This classification includes all persons arrested as suspicious
characters, but not in connection with any specific offense, who are released
without formal charges being placed against them.
INDEX TO VOLUME XXI, UNIFORM CRIME REPORTS
[All references are to page numbers
Age of offenders. (See Arrests.)
Annual crime trends: Page
Cities grouped by size 76-77
Cities grouped by location 76, 79-82
Estimated total number of major crimes, 1950 74-75
Rural crime trends 4-6, 83-84
Urban crime trends 4, 76-82
Arrests — based on fingerprint records 64-68, 106-112
Age of offenders 64-67, 108-111
Race of offenders 68, 112
Recidivism 67, 1 1 1-1 1 2
Sex of offenders 64-65. 106-107
Automobiles — percentage recovered 103
Classification of offenses 2, 69-70, 72, 113-114
Cleared by an est, offenses ' 44-50, 57
By geographic divisions 49-50
Crimes. (See Arrests, estimated number, offenses, persons charged, per-
sons found guilty, and persons released.)
Criminal repeaters. (See Arrests — recidivism.)
Employees, number of police 1 6-43
Fingerprint records 64-68, 106-112
Monthly variations, offenses known to the police 85—87
Offenses known to the police:
Annual trends 3-6, 74-84
Cities grouped by location 7, 9-11, 79-82, 90
Cities grouped by location and size _- 10, 91
Cities grouped by size 7-8, 77, 89
Cleared by arrest 44-50, 57
Cleared by arrest, geographic divisions. 1 49-50
Divided as to time and place and value of property stolen 104-105
Individual cities over 100,000 in population 13-15
Individual cities over 25,000 in population 93-101
Monthly variations 85-87
Rural areas 4-6, 12, 74-75,83-84
Teriitories and possessions of the United States 102
Persons charged (held for prosecution) 45, 47, 50-59
By geographic divisions - 54-55
Persons found guilty 56-60
Persons released (not held for prosecution) 6 1-63
Police department employees 16-43
Police killed 16
Possessions and Territories of the United States, offenses in 102
Property, value stolen 103-105
Property, value stolen and recovered 105
Prosecution, persons held for, (See Persons charged and persons found
guilty.)
115
116
Race of offenders. (See Arrests.)
Recidivism. (See Arrests.) Page
Reporting area, extent of 72-73
Rural crime data 4-6, 12, 74-75, 83-84
Sex of offenders. (See Arrests.)
Sheriffs* reports 4-C, 12, 74-75, 83-84
State crime rates. (See Offenses known — cities grouped by location.)
State police reports 4-6, 12, 74-75, 83-84
Territories and possessions of the United States, offenses in 102
Trends, annual crime:
Cities grouped by size 77
Cities grouped by location 79-82
Rural__. 4-6,83-84
Urban _^l_ 4,76-82
Value of property stolen 104-105
Value of property stolen and recovered 105
Variations, monthly crime 85-87
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