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National Incident-Based Reporting System: New York 2016
|
Metropolitan Nonmetropolitan
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County
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Violent Crime
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Murder And Nonnegligent Manslaughter
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Rape Revised Definition 1
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Rape Legacy Definition 2
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Robbery
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Aggravated Assault
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Property Crime
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Burglary
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Larceny Theft
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Motor Vehicle Theft
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Arson
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Broome
|
45
|
0
|
13
|
5
|
27
|
528
|
141
|
362
|
25
|
0
|
||
|
Chemung
|
20
|
1
|
5
|
2
|
12
|
390
|
40
|
342
|
8
|
1
|
||
|
Herkimer
|
2
|
0
|
0
|
0
|
2
|
0
|
0
|
0
|
0
|
0
|
||
|
Livingston
|
31
|
1
|
10
|
0
|
20
|
312
|
48
|
249
|
15
|
0
|
||
|
Nassau
|
1157
|
12
|
38
|
478
|
629
|
10660
|
1144
|
9054
|
462
|
68
|
||
|
Niagara
|
70
|
0
|
17
|
20
|
33
|
822
|
166
|
609
|
47
|
3
|
||
|
Putnam
|
16
|
0
|
3
|
4
|
9
|
291
|
44
|
243
|
4
|
0
|
||
|
Rockland
|
7
|
0
|
0
|
0
|
7
|
33
|
2
|
30
|
1
|
0
|
||
|
Saratoga
|
85
|
2
|
14
|
2
|
67
|
1102
|
167
|
892
|
43
|
0
|
||
|
Warren
|
44
|
0
|
17
|
5
|
22
|
620
|
77
|
541
|
2
|
1
|
||
|
Lewis
|
4
|
1
|
1
|
0
|
2
|
65
|
26
|
38
|
1
|
0
|
||
|
Seneca
|
4
|
0
|
0
|
0
|
4
|
51
|
14
|
35
|
2
|
0
|
||
|
Sullivan
|
29
|
1
|
0
|
3
|
25
|
294
|
56
|
233
|
5
|
3
|
||
|
Wyoming
|
14
|
0
|
3
|
1
|
10
|
152
|
35
|
115
|
2
|
0
|
||
|
Jefferson
|
38
|
0
|
15
|
1
|
22
|
272
|
48
|
218
|
6
|
0
|
||
|
Oneida
|
71
|
0
|
45
|
1
|
25
|
342
|
96
|
229
|
17
|
1
|
||
|
Orange
|
14
|
0
|
0
|
1
|
13
|
17
|
0
|
17
|
0
|
1
|
||
|
Orleans
|
20
|
0
|
8
|
1
|
11
|
200
|
56
|
140
|
4
|
0
|
||
|
Oswego
|
56
|
0
|
26
|
3
|
27
|
304
|
68
|
218
|
18
|
0
|
||
|
Rensselaer
|
15
|
1
|
2
|
3
|
9
|
249
|
39
|
201
|
9
|
2
|
||
|
Schenectady
|
1
|
0
|
0
|
1
|
0
|
16
|
6
|
9
|
1
|
0
|
||
|
Suffolk
|
63
|
0
|
0
|
0
|
63
|
0
|
0
|
0
|
0
|
0
|
||
|
Ulster
|
30
|
1
|
4
|
1
|
24
|
212
|
44
|
150
|
18
|
0
|
||
|
Westchester Public Safety
|
72
|
0
|
2
|
7
|
63
|
305
|
19
|
270
|
16
|
5
|
||
|
Nonmetropolitan Counties
|
Allegany
|
1
|
0
|
0
|
0
|
1
|
1
|
0
|
1
|
0
|
0
|
|
|
Columbia
|
19
|
0
|
4
|
1
|
14
|
285
|
77
|
203
|
5
|
0
|
||
|
Delaware
|
29
|
0
|
22
|
3
|
4
|
110
|
31
|
73
|
6
|
0
|
||
|
Fulton3
|
22
|
0
|
6
|
0
|
16
|
345
|
51
|
283
|
11
|
2
|
||
|
Greene
|
7
|
0
|
0
|
0
|
7
|
22
|
6
|
16
|
0
|
0
|
||
|
Otsego
|
19
|
0
|
0
|
3
|
16
|
59
|
23
|
33
|
3
|
0
|
||
|
Schuyler
|
7
|
0
|
1
|
0
|
6
|
25
|
10
|
14
|
1
|
0
|
||
|
Metropolitan Counties
|
Albany
|
19
|
0
|
7
|
0
|
12
|
157
|
24
|
124
|
9
|
0
|
|
|
Dutchess
|
35
|
0
|
17
|
2
|
16
|
496
|
112
|
378
|
6
|
0
|
||
|
Erie
|
71
|
0
|
0
|
12
|
59
|
762
|
141
|
600
|
21
|
5
|
||
|
Madison
|
16
|
0
|
9
|
0
|
7
|
116
|
24
|
81
|
11
|
1
|
||
|
Onondaga
|
187
|
4
|
42
|
34
|
107
|
1783
|
306
|
1409
|
68
|
9
|
||
|
Ontario
|
61
|
0
|
28
|
7
|
26
|
904
|
157
|
730
|
17
|
0
|
||
|
Schoharie
|
2
|
0
|
2
|
0
|
0
|
49
|
15
|
34
|
0
|
2
|
||
|
Suffolk County Police Department
|
1577
|
33
|
109
|
541
|
894
|
18254
|
1743
|
15432
|
1079
|
109
|
||
|
Tioga
|
16
|
1
|
2
|
1
|
12
|
181
|
51
|
119
|
11
|
1
|
||
|
Washington
|
27
|
0
|
20
|
0
|
7
|
169
|
31
|
133
|
5
|
0
|
||
|
Yates
|
16
|
0
|
5
|
1
|
10
|
216
|
58
|
156
|
2
|
0
|
||
|
Cattaraugus
|
34
|
0
|
19
|
1
|
14
|
282
|
80
|
180
|
22
|
4
|
||
|
Cayuga
|
22
|
1
|
15
|
2
|
4
|
166
|
49
|
113
|
4
|
1
|
||
|
Chautauqua
|
51
|
0
|
17
|
6
|
28
|
571
|
181
|
368
|
22
|
2
|
||
|
Chenango
|
22
|
0
|
8
|
0
|
14
|
319
|
69
|
248
|
2
|
0
|
||
|
Clinton
|
8
|
0
|
0
|
0
|
8
|
13
|
2
|
11
|
0
|
0
|
||
|
Cortland
|
7
|
0
|
4
|
2
|
1
|
246
|
43
|
203
|
0
|
0
|
||
|
Essex
|
0
|
0
|
0
|
0
|
0
|
6
|
0
|
6
|
0
|
0
|
||
|
Franklin
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
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