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Home • Crime in the U.S. • 2015 • Crime in the U.S. 2015 • Tables • Table 10 • Table 10 State Pieces • Table 10 - New York

Table 10

NEW YORK

Offenses Known to Law Enforcement

by Metropolitan and Nonmetropolitan Counties, 2015

[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		 Rape
(revised
definition)1 		Rape
(legacy
definition)2 		Robbery Aggravated
assault		 Property
crime 		Burglary Larceny-
theft		 Motor
vehicle
theft		 Arson
Metropolitan Counties Albany 17 0 4 1 12 110 34 72 4 0
Broome 58 0 20 5 33 727 111 600 16 0
Chemung 21 0 2 2 17 449 39 399 11 1
Duchess 53 0 21 2 30 544 99 433 12 1
Erie3 77 0 2 12 63 857 189 646 22 3
Herkimer 0 0 0 0 0 1 0 1 0 0
Jefferson 22 0 3 1 18 204 33 168 3 1
Livingston 35 0 15 4 16 362 67 283 12 1
Madison 19 0 9 2 8 182 38 138 6 2
Monroe 203 2 50 37 114 3,119 413 2,593 113 9
Nassau 1,318 13 68 555 682 11,396 1,311 9,596 489 97
Niagara 55 0 24 7 24 713 160 528 25 4
Oneida 47 0 31 0 16 435 98 308 29 1
Onondaga 187 2 32 31 122 1,924 311 1,564 49 9
Ontario 55 0 23 6 26 848 174 663 11 1
Orange 10 0 0 1 9 10 0 9 1 0
Orleans 21 0 7 0 14 186 69 108 9 0
Oswego 44 0 23 4 17 360 108 241 11 1
Rensselaer 12 0 0 3 9 289 43 240 6 0
Rockland 19 0 1 0 18 23 1 19 3 0
Saratoga 76 0 16 6 54 1,004 178 805 21 3
Schenectady 1 0 0 0 1 11 1 9 1 0
Schoharie 7 0 6 0 1 34 9 24 1 0
Suffolk 59 0 0 0 59 0 0 0 0 0
Suffolk County Police Department 1,675 24 79 677 895 19,196 2,109 15,906 1,181 129
Tioga 18 0 7 2 9 185 51 126 8 0
Ulster 41 0 14 1 26 230 38 180 12 0
Warren 35 1 15 6 13 531 74 457 0 2
Washington4 13 1 6 0 6 28 3 0
Wayne 60 2 20 5 33 370 100 257 13 4
Westchester Public Safety 6 1 0 2 3 150 8 137 5 3
Yates 17 0 5 0 12 190 66 122 2 0
Nonmetropolitan Counties Allegany 0 0 0 0 0 2 0 2 0 0
Cattaraugus 37 0 24 3 10 293 75 205 13 0
Cayuga 24 0 10 0 14 177 36 136 5 1
Chautauqua 33 1 11 2 19 593 175 392 26 0
Chenango 32 0 18 1 13 307 61 234 12 2
Clinton 2 0 0 0 2 16 3 13 0 0
Columbia 32 0 9 5 18 319 81 232 6 1
Delaware 21 0 13 1 7 128 39 88 1 2
Franklin 0 0 0 0 0 0 0 0 0 0
Fulton 8 0 0 0 8 276 80 191 5 0
Genesee 24 1 13 1 9 422 72 333 17 4
Greene 6 0 0 0 6 22 2 18 2 0
Hamilton 1 0 1 0 0 3 1 2 0 0
Lewis 4 0 0 0 4 67 29 35 3 1
Montgomery 25 0 2 4 19 408 39 359 10 4
Otsego 6 0 2 0 4 80 25 48 7 0
Schuyler 3 0 1 0 2 28 8 20 0 0
Seneca 6 0 0 0 6 55 9 43 3 0
Steuben 18 1 8 1 8 100 25 71 4 0
St. Lawrence3 9 0 1 1 7 20 2 17 1 0
Sullivan 18 1 3 2 12 337 77 258 2 4
Wyoming 15 1 7 0 7 171 35 129 7 0
  • 1 The figures shown in this column for the offense of rape were reported using the revised Uniform Crime Reporting (UCR) definition of rape. See the data declaration for further explanation.
  • 2 The figures shown in this column for the offense of rape were reported using the legacy UCR definition of rape. See the data declaration for further explanation.
  • 3 This agency began the year submitting rape data classified according to the legacy UCR definition. However, at some point during the calendar year, the agency modified its reporting methods and began classifying and submitting rape offenses according to the revised UCR definition of rape. See the data declaration for further explanation.
  • 4 The FBI determined that the agency's data were underreported. Consequently, those data are not included in this table.

Data Declaration

Provides the methodology used in constructing this table and other pertinent information about this table.