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Pennsylvania All Drugs Arrests

Pennsylvania 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.

13,917 7,382,075 188.52 7,814 993,035 786.88 6,087 6,242,200 97.51 1 11,059 9.04 15 135,624 11.06

Allentown-Bethlehem-Easton, Pa.

Carbon

23 30,048 76.54 3 72 4,160.01 20 29,832 67.04 0 24 0.00 0 120 0.00

Allentown-Bethlehem-Easton, Pa.

Lehigh

503 230,770 217.97 148 6,577 2,250.28 355 220,085 161.30 0 346 0.00 0 3,762 0.00

Allentown-Bethlehem-Easton, Pa.

Northampton

159 157,366 101.04 29 3,918 740.10 130 151,103 86.03 0 142 0.00 0 2,203 0.00

Altoona, Pa.

Blair

24 87,238 27.51 6 811 739.54 17 86,008 19.77 0 87 0.00 1 323 309.81

Erie, Pa.

Erie

240 218,429 109.88 115 12,953 887.84 123 203,641 60.40 0 371 0.00 2 1,442 138.73

Harrisburg-Lebanon-Carlisle, Pa.

Cumberland

89 131,929 67.46 30 2,586 1,160.18 59 126,968 46.47 0 198 0.00 0 2,177 0.00

Harrisburg-Lebanon-Carlisle, Pa.

Dauphin

137 171,243 80.00 48 28,409 168.96 89 139,940 63.60 0 291 0.00 0 2,620 0.00

Harrisburg-Lebanon-Carlisle, Pa.

Lebanon

49 10,438 469.44 7 79 8,824.03 42 10,240 410.17 0 9 0.00 0 110 0.00

Harrisburg-Lebanon-Carlisle, Pa.

Perry

9 38,999 23.08 0 94 0.00 9 38,777 23.21 0 47 0.00 0 82 0.00

Johnstown, Pa.

Cambria

98 54,667 179.27 65 1,481 4,387.52 33 52,972 62.30 0 44 0.00 0 169 0.00

Johnstown, Pa.

Somerset

13 46,471 27.97 0 88 0.00 13 46,243 28.11 0 28 0.00 0 112 0.00

Lancaster, Pa.

Lancaster

550 380,002 144.74 118 11,172 1,056.21 432 362,864 119.05 0 532 0.00 0 5,434 0.00

Newburgh, N.Y.-Pa.

Pike

27 32,509 83.05 0 348 0.00 27 31,901 84.64 0 59 0.00 0 202 0.00

Philadelphia, Pa.-N.J.

Bucks

136 425,011 32.00 37 13,260 279.03 99 402,698 24.58 0 468 0.00 0 8,585 0.00

Philadelphia, Pa.-N.J.

Chester

400 290,109 137.88 190 20,395 931.62 210 265,276 79.16 0 435 0.00 0 4,033 0.00

Philadelphia, Pa.-N.J.

Delaware

663 373,770 177.38 455 45,974 989.70 207 318,564 64.98 1 449 222.95 0 8,784 0.00

Philadelphia, Pa.-N.J.

Montgomery

387 520,023 74.42 230 32,501 707.66 155 471,037 32.91 0 676 0.00 2 15,809 12.65

Philadelphia, Pa.-N.J.

Philadelphia

7,553 1,526,779 494.70 4,820 648,728 742.99 2,728 821,102 332.24 0 3,817 0.00 5 52,979 9.44

Pittsburgh, Pa.

Allegheny

1,540 928,512 165.86 1,017 114,207 890.49 521 801,027 65.04 0 1,114 0.00 2 12,071 16.57

Pittsburgh, Pa.

Beaver

106 49,848 212.65 40 3,116 1,283.90 65 46,538 139.67 0 60 0.00 1 135 743.00

Pittsburgh, Pa.

Butler

27 121,329 22.25 6 704 852.63 21 119,958 17.51 0 97 0.00 0 570 0.00

Pittsburgh, Pa.

Fayette

122 106,269 114.80 83 4,187 1,982.33 39 101,763 38.32 0 117 0.00 0 213 0.00

Pittsburgh, Pa.

Washington

37 88,879 41.63 19 3,271 580.91 17 85,208 19.95 0 89 0.00 1 302 330.92

Pittsburgh, Pa.

Westmoreland

134 270,718 49.50 48 5,793 828.53 86 263,246 32.67 0 217 0.00 0 1,489 0.00

Reading, Pa.

Berks

241 233,012 103.43 45 8,179 550.21 196 221,734 88.39 0 280 0.00 0 2,843 0.00

Scranton-Wilkes Barre-Hazleton, Pa.

Columbia

8 18,419 43.43 1 90 1,108.00 7 18,229 38.40 0 13 0.00 0 87 0.00

Scranton-Wilkes Barre-Hazleton, Pa.

Lackawanna

59 40,402 146.03 22 323 6,806.59 37 39,719 93.15 0 32 0.00 0 327 0.00

Scranton-Wilkes Barre-Hazleton, Pa.

Luzerne

124 188,072 65.93 32 2,389 1,339.74 92 184,442 49.88 0 150 0.00 0 1,091 0.00

Scranton-Wilkes Barre-Hazleton, Pa.

Wyoming

4 23,557 16.98 0 158 0.00 4 23,281 17.18 0 21 0.00 0 99 0.00

Sharon, Pa.

Mercer

48 90,337 53.13 15 4,851 309.21 33 85,007 38.82 0 90 0.00 0 388 0.00

State College, Pa.

Centre

81 104,213 77.73 16 2,647 604.46 65 97,231 66.85 0 156 0.00 0 4,169 0.00

Williamsport, Pa.

Lycoming

48 100,935 47.56 21 2,644 794.10 27 97,564 27.67 0 192 0.00 0 535 0.00

York, Pa.

York

278 291,772 95.28 148 11,029 1,341.92 129 278,000 46.40 0 408 0.00 1 2,363 42.31

 

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)