Metropolitan/Nonmetropolitan Counties | County | Violent crime |
Murder and nonnegligent manslaughter |
Forcible rape |
Robbery | Aggravated assault |
Property crime |
Burglary | Larceny- theft |
Motor vehicle theft |
Arson1 |
---|---|---|---|---|---|---|---|---|---|---|---|
Metropolitan Counties | Albany | 23 | 0 | 2 | 0 | 21 | 95 | 22 | 72 | 1 | 0 |
Broome | 57 | 0 | 12 | 5 | 40 | 772 | 143 | 601 | 28 | 2 | |
Chemung | 17 | 0 | 2 | 1 | 14 | 409 | 52 | 342 | 15 | 0 | |
Dutchess | 66 | 1 | 5 | 11 | 49 | 897 | 186 | 678 | 33 | 3 | |
Erie | 118 | 0 | 12 | 19 | 87 | 908 | 198 | 671 | 39 | 10 | |
Herkimer | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 16 | 0 | 0 | |
Livingston | 24 | 0 | 4 | 1 | 19 | 764 | 99 | 646 | 19 | 1 | |
Madison | 8 | 0 | 1 | 1 | 6 | 291 | 101 | 186 | 4 | 1 | |
Monroe | 213 | 1 | 20 | 44 | 148 | 3,853 | 605 | 3,087 | 161 | 13 | |
Nassau | 1,639 | 14 | 71 | 748 | 806 | 13,886 | 1,807 | 10,928 | 1,151 | ||
Niagara | 79 | 0 | 15 | 14 | 50 | 1,336 | 370 | 914 | 52 | 7 | |
Oneida | 66 | 4 | 2 | 2 | 58 | 531 | 173 | 333 | 25 | 7 | |
Onondaga | 174 | 3 | 25 | 34 | 112 | 1,785 | 362 | 1,333 | 90 | 14 | |
Ontario | 38 | 1 | 8 | 5 | 24 | 891 | 201 | 665 | 25 | 6 | |
Orange | 7 | 0 | 1 | 2 | 4 | 17 | 7 | 9 | 1 | 1 | |
Oswego | 45 | 0 | 8 | 9 | 28 | 411 | 134 | 246 | 31 | 0 | |
Putnam | 20 | 0 | 5 | 3 | 12 | 300 | 64 | 222 | 14 | 2 | |
Rensselaer | 40 | 0 | 3 | 4 | 33 | 208 | 56 | 148 | 4 | 2 | |
Rockland | 24 | 0 | 1 | 0 | 23 | 40 | 0 | 39 | 1 | 0 | |
Saratoga | 26 | 0 | 9 | 4 | 13 | 977 | 175 | 770 | 32 | 13 | |
Schenectady | 9 | 0 | 0 | 1 | 8 | 35 | 1 | 31 | 3 | ||
Schoharie | 2 | 0 | 0 | 0 | 2 | 78 | 28 | 48 | 2 | 0 | |
Suffolk | 155 | 0 | 0 | 1 | 154 | 9 | 1 | 2 | 6 | 0 | |
Suffolk
County Police Department |
2,205 | 28 | 89 | 874 | 1,214 | 24,039 | 3,360 | 18,583 | 2,096 | 301 | |
Tioga | 7 | 0 | 1 | 1 | 5 | 161 | 57 | 89 | 15 | 1 | |
Tompkins | 16 | 0 | 7 | 2 | 7 | 404 | 66 | 321 | 17 | 1 | |
Ulster | 42 | 0 | 2 | 2 | 38 | 317 | 71 | 235 | 11 | 1 | |
Warren | 57 | 0 | 12 | 4 | 41 | 850 | 133 | 695 | 22 | 1 | |
Washington | 41 | 3 | 7 | 2 | 29 | 348 | 70 | 257 | 21 | 1 | |
Wayne | 48 | 0 | 14 | 7 | 27 | 504 | 100 | 389 | 15 | 3 | |
Westchester Public Safety | 69 | 0 | 1 | 2 | 66 | 289 | 24 | 248 | 17 | ||
Nonmetropolitan Counties | Allegany | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 |
Cattaraugus | 40 | 1 | 5 | 4 | 30 | 421 | 142 | 246 | 33 | 5 | |
Cayuga | 33 | 0 | 6 | 3 | 24 | 300 | 70 | 225 | 5 | 1 | |
Chautauqua | 49 | 0 | 19 | 5 | 25 | 896 | 238 | 630 | 28 | 8 | |
Chenango | 13 | 2 | 1 | 1 | 9 | 353 | 91 | 251 | 11 | 4 | |
Clinton | 2 | 0 | 0 | 0 | 2 | 14 | 2 | 11 | 1 | 0 | |
Columbia | 26 | 0 | 1 | 2 | 23 | 359 | 92 | 250 | 17 | 1 | |
Cortland | 13 | 0 | 4 | 0 | 9 | 328 | 61 | 257 | 10 | 1 | |
Delaware | 4 | 0 | 3 | 0 | 1 | 183 | 66 | 109 | 8 | 0 | |
Franklin | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
Fulton | 17 | 0 | 9 | 0 | 8 | 388 | 115 | 258 | 15 | 0 | |
Genesee | 36 | 0 | 4 | 6 | 26 | 605 | 147 | 437 | 21 | 7 | |
Greene | 7 | 0 | 0 | 1 | 6 | 36 | 8 | 25 | 3 | 0 | |
Hamilton | 0 | 0 | 0 | 0 | 0 | 11 | 1 | 10 | 0 | 0 | |
Lewis | 16 | 0 | 1 | 0 | 15 | 150 | 61 | 86 | 3 | 1 | |
Montgomery | 23 | 1 | 2 | 2 | 18 | 337 | 50 | 268 | 19 | 0 | |
Otsego | 14 | 0 | 5 | 0 | 9 | 206 | 90 | 108 | 8 | 1 | |
Schuyler | 8 | 0 | 0 | 0 | 8 | 67 | 23 | 41 | 3 | 0 | |
Seneca | 7 | 0 | 2 | 0 | 5 | 136 | 13 | 123 | 0 | 1 | |
Steuben | 8 | 0 | 4 | 0 | 4 | 83 | 20 | 63 | 0 | 0 | |
St. Lawrence | 15 | 0 | 1 | 0 | 14 | 95 | 18 | 75 | 2 | 0 | |
Sullivan | 41 | 0 | 6 | 0 | 35 | 533 | 168 | 340 | 25 | 3 | |
Wyoming | 14 | 0 | 3 | 1 | 10 | 245 | 70 | 170 | 5 | 0 | |
Yates | 2 | 0 | 0 | 0 | 2 | 179 | 54 | 120 | 5 | 1 |
Provides the methodology used in constructing this table and other pertinent information about this table.