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New York All Drugs Arrests

New York Metropolitan Area Counties
1995 Drug Sales Arrests by Race

(Data Source: Uniform Crime Reports. See below for notes.)


ALL

BLACK

WHITE

AM. INDIAN

ASIAN-PAC.

METROPOLITAN AREA

JURISDICTION

TL

POP

RATE

TL

POP (est)

RATE

TL

POP (est)

RATE

TL

POP (est)

RATE

TL

POP (est)

RATE

All listed below.

All listed below.

5,999 9,246,905 64.88 3,461 788,335 439.03 2,527 8,186,009 30.87 6 28,125 21.33 5 244,547 2.04

Albany-Schenectady-Troy, N.Y.

Albany

389 274,590 141.67 251 25,482 985.01 138 242,408 56.93 0 549 0.00 0 6,151 0.00

Albany-Schenectady-Troy, N.Y.

Montgomery

10 22,284 44.88 0 252 0.00 10 21,856 45.75 0 47 0.00 0 129 0.00

Albany-Schenectady-Troy, N.Y.

Rensselaer

118 135,350 87.18 71 5,008 1,417.75 47 127,649 36.82 0 271 0.00 0 2,423 0.00

Albany-Schenectady-Troy, N.Y.

Saratoga

53 165,180 32.09 9 2,296 391.99 44 160,885 27.35 0 264 0.00 0 1,734 0.00

Albany-Schenectady-Troy, N.Y.

Schenectady

108 141,830 76.15 70 6,765 1,034.69 38 132,412 28.70 0 284 0.00 0 2,369 0.00

Albany-Schenectady-Troy, N.Y.

Schoharie

16 32,975 48.52 1 488 204.91 15 32,263 46.49 0 76 0.00 0 145 0.00

Binghamton, N.Y.

Broome

555 200,093 277.37 269 4,562 5,896.38 285 190,589 149.54 0 360 0.00 1 4,562 21.92

Binghamton, N.Y.

Tioga

3 5,045 59.46 1 37 2,715.29 2 4,958 40.34 0 9 0.00 0 41 0.00

Buffalo-Niagara Falls, N.Y.

Erie

279 767,501 36.35 168 95,784 175.39 111 656,213 16.92 0 4,912 0.00 0 10,668 0.00

Buffalo-Niagara Falls, N.Y.

Niagara

139 173,499 80.12 73 10,427 700.09 65 160,504 40.50 1 1,700 58.81 0 867 0.00

Dutchess County, N.Y.

Dutchess

243 226,142 107.45 200 20,308 984.86 43 198,688 21.64 0 362 0.00 0 6,784 0.00

Elmira, N.Y.

Chemung

53 73,945 71.67 26 4,496 578.31 27 68,517 39.41 0 177 0.00 0 754 0.00

Glens Falls, N.Y.

Warren

21 59,354 35.38 6 338 1,773.48 15 58,523 25.63 0 119 0.00 0 374 0.00

Glens Falls, N.Y.

Washington

15 52,917 28.35 3 1,857 161.52 12 50,811 23.62 0 101 0.00 0 148 0.00

Jamestown, N.Y.

Chautauqua

233 116,158 200.59 92 2,521 3,649.88 141 112,511 125.32 0 534 0.00 0 604 0.00

Nassau-Suffolk, N.Y.

Nassau

720 1,276,145 56.42 431 120,851 356.64 289 1,101,186 26.24 0 2,042 0.00 0 52,067 0.00

Nassau-Suffolk, N.Y.

Suffolk

486 1,302,319 37.32 323 90,251 357.89 158 1,178,468 13.41 4 3,516 113.76 1 30,084 3.32

Newburgh, N.Y.-Pa.

Orange

169 225,830 74.84 80 17,773 450.13 88 203,879 43.16 0 677 0.00 1 3,500 28.57

New York, N.Y.

Nassau

720 1,276,145 56.42 431 120,851 356.64 289 1,101,186 26.24 0 2,042 0.00 0 52,067 0.00

New York, N.Y.

Putnam

67 73,664 90.95 23 818 2,812.87 44 71,837 61.25 0 110 0.00 0 891 0.00

New York, N.Y.

Rockland

39 239,706 16.27 19 26,128 72.72 20 200,035 10.00 0 671 0.00 0 12,896 0.00

New York, N.Y.

Westchester

325 532,519 61.03 192 79,079 242.79 132 426,761 30.93 0 1,012 0.00 1 25,721 3.89

Rochester, N.Y.

Genesee

35 60,409 57.94 12 1,196 1,003.26 23 58,168 39.54 0 755 0.00 0 296 0.00

Rochester, N.Y.

Livingston

22 44,259 49.71 2 1,562 128.01 20 42,236 47.35 0 155 0.00 0 305 0.00

Rochester, N.Y.

Monroe

400 702,005 56.98 247 91,471 270.03 152 591,860 25.68 0 2,246 0.00 1 16,427 6.09

Rochester, N.Y.

Ontario

55 88,376 62.23 19 1,821 1,043.64 35 85,689 40.85 1 221 452.61 0 636 0.00

Rochester, N.Y.

Orleans

8 26,893 29.75 0 2,291 0.00 8 24,335 32.87 0 132 0.00 0 134 0.00

Rochester, N.Y.

Wayne

75 83,345 89.99 48 3,042 1,577.86 27 79,611 33.91 0 242 0.00 0 450 0.00

Syracuse, N.Y.

Cayuga

52 77,538 67.06 16 2,970 538.77 36 73,863 48.74 0 287 0.00 0 419 0.00

Syracuse, N.Y.

Madison

23 60,696 37.89 1 722 138.45 22 59,264 37.12 0 243 0.00 0 461 0.00

Syracuse, N.Y.

Onondaga

351 416,315 84.31 272 36,719 740.76 79 368,522 21.44 0 3,122 0.00 0 7,952 0.00

Syracuse, N.Y.

Oswego

23 117,673 19.55 0 647 0.00 23 115,943 19.84 0 459 0.00 0 624 0.00

Utica-Rome, N.Y.

Herkimer

26 48,040 54.12 0 173 0.00 26 47,636 54.58 0 86 0.00 0 144 0.00

Utica-Rome, N.Y.

Oneida

168 148,165 113.39 105 9,349 1,123.09 63 136,741 46.07 0 341 0.00 0 1,719 0.00

 

Notes:

TL: Total arrests.

POP: Coverage population of reporting law enforcement agencies.

RATE: Arrest Rate per 100,000 population.

Original Source: Uniform Crime Reports, 1995.

Data are total for reporting agencies. Population estimates by race are based on application of U.S. Census percentages of total population to the coverage population in which the arrests occurred. The racial categories and labels are as defined and used in the Uniform Crime Reports. Unfortunately separate data on arrests of Hispanics are not available.

The Uniform Crime Reports provides data on all drug arrests as well as data of arrests for drug possession and sales. Four categories are used to provide more specific data on arrests for different types of controlled substances: 1) Opium and Cocaine and their derivatives (such as Crack, Morphine, Heroin); 2) Marijuana; 3) Synthetic Narcotics - Manufactured Narcotics which can cause true drug addiction (such as Demerol, Methadone); 4) Other Dangerous Non-Narcotic Drugs (such as Barbiturates, Benzedrine, and Methamphetamine).

Primary Source: Chilton, Rowland, and Dee Weber. UNIFORM CRIME REPORTING PROGRAM [UNITED STATES]: ARRESTS BY AGE, SEX, AND RACE FOR POLICE AGENCIES IN METROPOLITAN STATISTICAL AREAS, 1960-1995[Computer file]. ICPSR version. Amherst, MA: University of Massachusetts [producer], 1998.Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor],1999.

Citation: Gettman, Jon B. "US Marijuana Arrests. Part Two - Racial Differences in Drug Arrests". Washington, D.C.: National Organization for the Reform of Marijuana Laws. (2000)