Table 10
NEW YORK
Offenses Known to Law Enforcement
by Metropolitan and Nonmetropolitan Counties, 2019
[The data shown in this table do not reflect county totals but are the number of offenses reported by the sheriff's office or county police department.]
| Metropolitan/Nonmetropolitan | County |
Violent crime |
Murder and nonnegligent manslaughter |
Rape1 | Robbery |
Aggravated assault |
Property crime |
Burglary |
Larceny- theft |
Motor vehicle theft |
Arson |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Metropolitan Counties | Albany | 25 | 1 | 4 | 1 | 19 | 121 | 21 | 90 | 10 | 0 |
| Broome | 51 | 0 | 22 | 11 | 18 | 486 | 60 | 403 | 23 | 1 | |
| Chemung | 9 | 0 | 2 | 0 | 7 | 221 | 18 | 198 | 5 | 0 | |
| Dutchess | 38 | 0 | 12 | 6 | 20 | 353 | 48 | 279 | 26 | 2 | |
| Erie | 50 | 0 | 0 | 2 | 48 | 505 | 72 | 411 | 22 | 7 | |
| Herkimer | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | |
| Jefferson | 28 | 0 | 5 | 0 | 23 | 227 | 18 | 204 | 5 | 1 | |
| Livingston | 32 | 0 | 14 | 3 | 15 | 283 | 31 | 250 | 2 | 1 | |
| Madison | 20 | 0 | 6 | 0 | 14 | 85 | 15 | 68 | 2 | 0 | |
| Monroe | 209 | 0 | 44 | 42 | 123 | 2,341 | 264 | 2,001 | 76 | 2 | |
| Nassau | 1,179 | 9 | 40 | 339 | 791 | 9,655 | 583 | 8,677 | 395 | 35 | |
| Niagara | 56 | 0 | 14 | 6 | 36 | 475 | 78 | 372 | 25 | 0 | |
| Oneida | 70 | 0 | 48 | 3 | 19 | 309 | 53 | 240 | 16 | 0 | |
| Onondaga | 191 | 0 | 49 | 29 | 113 | 1,518 | 210 | 1,204 | 104 | 9 | |
| Ontario | 69 | 2 | 26 | 5 | 36 | 669 | 87 | 571 | 11 | 0 | |
| Orleans | 15 | 0 | 6 | 1 | 8 | 115 | 19 | 87 | 9 | 0 | |
| Oswego | 33 | 1 | 17 | 3 | 12 | 268 | 40 | 202 | 26 | 0 | |
| Putnam | 18 | 0 | 4 | 4 | 10 | 127 | 15 | 108 | 4 | 0 | |
| Rensselaer | 18 | 0 | 5 | 5 | 8 | 230 | 21 | 199 | 10 | 1 | |
| Schoharie | 5 | 0 | 1 | 0 | 4 | 18 | 2 | 13 | 3 | 3 | |
| Suffolk | 34 | 0 | 0 | 0 | 34 | 0 | 0 | 0 | 0 | 0 | |
| Suffolk County Police Department | 1,183 | 24 | 159 | 281 | 719 | 14,828 | 891 | 13,161 | 776 | 42 | |
| Tioga | 7 | 0 | 5 | 1 | 1 | 140 | 45 | 89 | 6 | 1 | |
| Ulster | 21 | 0 | 6 | 1 | 14 | 145 | 25 | 115 | 5 | 0 | |
| Washington | 30 | 0 | 26 | 1 | 3 | 67 | 12 | 55 | 0 | 0 | |
| Wayne | 63 | 0 | 16 | 7 | 40 | 333 | 81 | 237 | 15 | 3 | |
| Westchester Public Safety | 30 | 0 | 1 | 2 | 27 | 199 | 10 | 182 | 7 | 2 | |
| Yates | 12 | 0 | 3 | 0 | 9 | 98 | 31 | 66 | 1 | 0 | |
| Nonmetropolitan Counties | Allegany | 3 | 0 | 0 | 0 | 3 | 7 | 0 | 3 | 4 | 0 |
| Cattaraugus | 48 | 0 | 13 | 0 | 35 | 202 | 44 | 136 | 22 | 6 | |
| Chautauqua | 33 | 1 | 16 | 2 | 14 | 428 | 148 | 266 | 14 | 9 | |
| Chenango | 32 | 0 | 15 | 1 | 16 | 274 | 71 | 194 | 9 | 1 | |
| Clinton | 11 | 0 | 0 | 0 | 11 | 34 | 3 | 31 | 0 | 0 | |
| Columbia | 25 | 1 | 6 | 1 | 17 | 251 | 54 | 189 | 8 | 3 | |
| Delaware | 22 | 0 | 12 | 0 | 10 | 151 | 46 | 100 | 5 | 0 | |
| Essex | 2 | 0 | 0 | 0 | 2 | 4 | 0 | 4 | 0 | 0 | |
| Franklin | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Fulton | 22 | 0 | 9 | 1 | 12 | 288 | 34 | 247 | 7 | 0 | |
| Greene | 13 | 0 | 2 | 3 | 8 | 26 | 7 | 19 | 0 | 2 | |
| Hamilton | 1 | 0 | 0 | 0 | 1 | 6 | 1 | 5 | 0 | 0 | |
| Lewis | 12 | 0 | 4 | 0 | 8 | 54 | 18 | 33 | 3 | 0 | |
| Montgomery | 6 | 0 | 0 | 1 | 5 | 212 | 8 | 192 | 12 | 1 | |
| Otsego | 13 | 0 | 5 | 0 | 8 | 29 | 3 | 24 | 2 | 1 | |
| Schuyler | 5 | 0 | 1 | 0 | 4 | 10 | 2 | 7 | 1 | 0 | |
| Seneca | 2 | 0 | 1 | 0 | 1 | 43 | 2 | 41 | 0 | 0 | |
| Steuben | 9 | 0 | 2 | 0 | 7 | 47 | 13 | 31 | 3 | 1 | |
| St. Lawrence | 11 | 0 | 2 | 1 | 8 | 25 | 8 | 15 | 2 | 0 | |
| Sullivan | 27 | 0 | 6 | 1 | 20 | 273 | 34 | 234 | 5 | 1 | |
| Wyoming | 17 | 0 | 7 | 1 | 9 | 96 | 20 | 76 | 0 | 0 |
- 1 The figures shown in this column for the offense of rape were reported using only the revised Uniform Crime Reporting definition of rape. See the data declaration for further explanation.
Data Declaration
Provides the methodology used in constructing this table and other pertinent information about this table.
