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Pennsylvania All Drugs Sales

Pennsylvania Metropolitan Area Counties
1995 Drug 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.

27,243 9,195,201 296.27 12,831 1,091,809 1,175.21 14,365 7,930,600 181.13 11 13,156 83.61 36 159,470 22.57

Allentown-Bethlehem-Easton, Pa.

Carbon

61 48,925 124.68 8 117 6,813.15 53 48,573 109.11 0 39 0.00 0 196 0.00

Allentown-Bethlehem-Easton, Pa.

Lehigh

1,028 278,675 368.89 244 7,942 3,072.18 784 265,772 294.99 0 418 0.00 0 4,542 0.00

Allentown-Bethlehem-Easton, Pa.

Northampton

496 198,115 250.36 61 4,933 1,236.55 433 190,230 227.62 0 178 0.00 2 2,774 72.11

Altoona, Pa.

Blair

84 111,569 75.29 17 1,038 1,638.41 66 109,996 60.00 0 112 0.00 1 413 242.24

Erie, Pa.

Erie

405 279,189 145.06 124 16,556 748.98 278 260,288 106.80 1 475 210.69 2 1,843 108.54

Harrisburg-Lebanon-Carlisle, Pa.

Cumberland

257 203,026 126.58 41 3,979 1,030.33 216 195,392 110.55 0 305 0.00 0 3,350 0.00

Harrisburg-Lebanon-Carlisle, Pa.

Dauphin

396 187,263 211.47 101 31,067 325.10 295 153,031 192.77 0 318 0.00 0 2,865 0.00

Harrisburg-Lebanon-Carlisle, Pa.

Lebanon

125 100,178 124.78 11 761 1,444.80 114 98,275 116.00 0 90 0.00 0 1,052 0.00

Harrisburg-Lebanon-Carlisle, Pa.

Perry

23 38,999 58.98 0 94 0.00 23 38,777 59.31 0 47 0.00 0 82 0.00

Johnstown, Pa.

Cambria

230 96,918 237.31 105 2,626 3,997.75 125 93,914 133.10 0 78 0.00 0 300 0.00

Johnstown, Pa.

Somerset

43 69,880 61.53 2 133 1,506.34 41 69,538 58.96 0 42 0.00 0 168 0.00

Lancaster, Pa.

Lancaster

1,292 416,448 310.24 273 12,244 2,229.74 1,018 397,666 255.99 1 583 171.52 0 5,955 0.00

Newburgh, N.Y.-Pa.

Pike

75 32,509 230.71 1 348 287.48 74 31,901 231.97 0 59 0.00 0 202 0.00

Philadelphia, Pa.-N.J.

Bucks

678 529,249 128.11 102 16,513 617.71 574 501,463 114.46 0 582 0.00 2 10,691 18.71

Philadelphia, Pa.-N.J.

Chester

788 380,683 207.00 342 26,762 1,277.93 446 348,097 128.13 0 571 0.00 0 5,291 0.00

Philadelphia, Pa.-N.J.

Delaware

1,780 522,319 340.79 850 64,245 1,323.06 923 445,172 207.34 3 627 478.63 4 12,274 32.59

Philadelphia, Pa.-N.J.

Montgomery

1,037 668,309 155.17 451 41,769 1,079.74 578 605,354 95.48 0 869 0.00 8 20,317 39.38

Philadelphia, Pa.-N.J.

Philadelphia

11,062 1,526,779 724.53 6,944 648,728 1,070.40 4,110 821,102 500.55 0 3,817 0.00 8 52,979 15.10

Pittsburgh, Pa.

Allegheny

3,722 1,171,385 317.74 2,146 144,080 1,489.45 1,574 1,010,554 155.76 0 1,406 0.00 2 15,228 13.13

Pittsburgh, Pa.

Beaver

301 147,528 204.03 131 9,220 1,420.75 169 137,732 122.70 0 177 0.00 1 398 251.05

Pittsburgh, Pa.

Butler

132 154,545 85.41 7 896 780.94 125 152,799 81.81 0 124 0.00 0 726 0.00

Pittsburgh, Pa.

Fayette

181 106,269 170.32 99 4,187 2,364.46 80 101,763 78.61 2 117 1,710.92 0 213 0.00

Pittsburgh, Pa.

Lawrence

3 9,006 33.31 0 303 0.00 3 8,664 34.63 0 6 0.00 0 33 0.00

Pittsburgh, Pa.

Washington

145 146,798 98.78 31 5,402 573.84 113 140,735 80.29 0 147 0.00 1 499 200.36

Pittsburgh, Pa.

Westmoreland

515 362,128 142.21 122 7,750 1,574.29 393 352,133 111.61 0 290 0.00 0 1,992 0.00

Reading, Pa.

Berks

588 307,233 191.39 106 10,784 982.95 482 292,363 164.86 0 369 0.00 0 3,748 0.00

Scranton-Wilkes Barre-Hazleton, Pa.

Columbia

41 37,651 108.89 5 184 2,710.18 35 37,263 93.93 1 26 3,794.25 0 177 0.00

Scranton-Wilkes Barre-Hazleton, Pa.

Lackawanna

118 70,324 167.79 24 563 4,265.97 94 69,136 135.96 0 56 0.00 0 570 0.00

Scranton-Wilkes Barre-Hazleton, Pa.

Luzerne

305 283,271 107.67 53 3,598 1,473.23 251 277,804 90.35 1 227 441.27 0 1,643 0.00

Scranton-Wilkes Barre-Hazleton, Pa.

Wyoming

26 25,822 100.69 0 173 0.00 26 25,520 101.88 0 23 0.00 0 108 0.00

Sharon, Pa.

Mercer

209 114,745 182.14 56 6,162 908.82 153 107,975 141.70 0 115 0.00 0 493 0.00

State College, Pa.

Centre

234 126,925 184.36 20 3,224 620.37 211 118,421 178.18 0 190 0.00 3 5,077 59.09

Williamsport, Pa.

Lycoming

252 112,095 224.81 106 2,937 3,609.26 144 108,351 132.90 2 213 939.05 0 594 0.00

York, Pa.

York

611 330,443 184.90 248 12,491 1,985.47 361 314,846 114.66 0 463 0.00 2 2,677 74.72

 

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)