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Pennsylvania Arrests

State Arrest Report PDF Marijuana Arrests By County 1995 - 1997

1995

1996

1997

1995 to 1997

NAME

TL

AQ



RATE


TL


AQ


RATE


TL


AQ


RATE


RANK


CHANGE


RANK
Pennsylvania 13,929 0.74 115.38 13,733 0.68 113.91 15,093 0.67 125.57 - 8.83% -
Adams 51 0.44 61.01 40 0.35 47.92 39 0.33 46.86 64 -23.19% 59
Allegheny 2,184 1.07 165.16 2,161 1.03 163.64 1,999 0.93 151.83 13 -8.07% 48
Armstrong 48 0.53 64.24 62 0.57 83.09 35 0.29 47.05 63 -26.76% 62
Beaver 193 0.76 102.75 164 0.65 87.43 208 0.68 111.23 29 8.26% 36
Bedford 45 0.76 91.72 23 0.40 46.94 33 0.52 67.56 59 -26.34% 61
Berks 267 0.55 77.34 275 0.54 79.77 338 0.59 98.34 38 27.15% 21
Blair 62 0.43 46.96 132 0.76 100.11 125 0.66 95.09 41 102.50% 4
Bradford 21 0.26 33.79 44 0.55 70.89 50 0.61 80.80 51 139.16% 3
Bucks 672 1.06 118.52 633 0.95 111.79 705 0.97 124.89 20 5.37% 38
Butler 111 0.43 68.45 123 0.40 75.96 143 0.42 88.58 46 29.40% 19
Cambria 147 0.58 91.32 153 0.61 95.18 180 0.66 112.33 28 23.01% 24
Cameron 7 0.68 120.86 8 0.61 138.34 22 1.49 381.61 1 215.76% 2
Carbon 50 0.43 84.80 48 0.38 81.52 30 0.19 51.11 62 -39.73% 64
Centre 207 0.75 159.17 251 0.91 193.27 208 0.69 160.65 10 0.93% 40
Chester 301 0.53 75.64 373 0.64 93.86 377 0.62 95.15 40 25.80% 22
Clarion 50 0.86 118.51 17 0.37 40.35 18 0.36 42.85 65 -63.84% 66
Clearfield 56 0.48 70.47 53 0.43 66.78 88 0.61 111.23 30 57.84% 8
Clinton 29 0.57 77.35 46 0.75 122.86 31 0.44 83.05 48 7.38% 37
Columbia 85 0.94 132.82 112 1.00 175.28 113 0.90 177.40 8 33.56% 18
Crawford 108 0.69 122.55 91 0.66 103.40 105 0.63 119.68 25 -2.35% 43
Cumberland 251 0.81 121.87 194 0.61 94.32 220 0.62 107.29 32 -11.96% 50
Dauphin 584 1.16 237.44 570 1.07 232.06 643 0.85 262.58 3 10.59% 32
Delaware 886 0.87 161.31 794 0.77 144.76 985 0.80 180.12 7 11.66% 31
Elk 25 0.62 70.96 40 0.78 113.70 32 0.57 91.24 43 28.58% 20
Erie 305 0.71 108.63 277 0.62 98.79 282 0.57 100.88 34 -7.14% 47
Fayette 94 0.37 64.05 114 0.40 77.78 179 0.54 122.50 22 91.27% 7
Forest 10 1.40 207.51 9 0.83 187.03 2 0.23 41.69 66 -79.91% 67
Franklin 94 0.45 75.09 136 0.59 108.78 126 0.48 101.09 33 34.63% 16
Fulton 11 0.44 77.01 19 0.78 133.20 16 0.63 112.52 27 46.11% 11
Greene 51 0.81 126.76 35 0.58 87.11 39 0.47 97.36 39 -23.19% 60
Huntingdon 31 0.52 69.50 22 0.38 49.39 28 0.45 63.05 60 -9.28% 49
Indiana 89 0.74 98.03 133 0.94 146.70 171 1.09 189.19 6 92.98% 6
Jefferson 72 1.10 154.04 60 0.88 128.55 67 0.98 143.99 14 -6.52% 46
Juniata 2 0.16 9.31 2 0.23 9.32 12 0.90 56.10 61 502.69% 1
Lackawanna 239 0.74 110.47 217 0.64 100.44 262 0.73 121.64 23 10.11% 34
Lancaster 661 0.90 149.08 656 0.83 148.15 693 0.79 156.98 12 5.30% 39
Lawrence 90 0.66 92.31 76 0.54 78.06 87 0.61 89.63 45 -2.91% 44
Lebanon 63 0.31 54.03 92 0.41 79.01 94 0.40 80.98 50 49.87% 10
Lehigh 440 1.02 157.89 409 0.83 146.97 370 0.70 133.35 15 -15.54% 56
Luzerne 281 0.60 85.61 206 0.41 62.85 277 0.51 84.77 47 -0.98% 42
Lycoming 169 0.66 139.51 117 0.45 96.72 146 0.51 121.06 24 -13.23% 54
McKean 30 0.42 61.72 54 0.81 111.26 35 0.45 72.34 55 17.20% 29
Mercer 160 0.99 130.76 128 0.74 104.76 153 0.79 125.60 19 -3.95% 45
Mifflin 30 0.55 63.71 28 0.45 59.54 15 0.24 32.00 67 -49.78% 65
Monroe 161 0.89 143.37 142 0.77 126.63 138 0.68 123.44 21 -13.90% 55
Montgomery 613 0.57 87.25 548 0.48 78.10 535 0.42 76.48 54 -12.34% 51
Montour 11 0.52 60.29 9 0.45 49.40 13 0.60 71.57 56 18.72% 28
Northampton 305 0.82 110.86 349 0.90 127.03 217 0.51 79.22 52 -28.54% 63
Northumberland 109 0.84 113.68 94 0.66 98.17 120 0.76 125.71 18 10.58% 33
Perry 25 0.53 57.89 29 0.56 67.24 35 0.57 81.40 49 40.62% 12
Philadelphia 1,813 0.62 118.51 1,657 0.49 108.41 2,446 0.62 160.46 11 35.40% 14
Pike 71 1.78 199.74 81 1.16 228.19 57 0.72 161.07 9 -19.36% 58
Potter 32 1.14 187.27 39 1.28 228.54 43 1.28 252.76 4 34.98% 15
Schuylkill 127 0.54 82.69 141 0.53 91.93 152 0.49 99.41 36 20.22% 27
Snyder 30 0.65 79.45 26 0.57 68.95 26 0.57 69.16 58 -12.95% 53
Somerset 51 0.59 64.43 71 0.72 89.82 62 0.59 78.68 53 22.12% 25
Sullivan 15 1.16 245.98 6 0.49 98.54 20 1.41 329.49 2 33.95% 17
Susquehanna 25 0.76 60.10 19 0.52 45.74 38 0.96 91.76 42 52.68% 9
Tioga 28 0.46 66.73 32 0.55 76.37 38 0.63 90.97 44 36.33% 13
Union 33 0.84 88.33 32 0.85 85.78 37 0.84 99.48 35 12.62% 30
Venango 148 0.91 249.54 123 0.69 207.67 129 0.75 218.46 5 -12.45% 52
Warren 48 0.86 106.35 49 0.77 108.72 59 0.89 131.31 16 23.47% 23
Washington 134 0.40 64.14 206 0.56 98.75 265 0.66 127.43 17 98.65% 5
Wayne 37 0.92 85.68 39 0.80 90.44 30 0.54 69.78 57 -18.56% 57
Westmoreland 340 0.76 90.17 390 0.82 103.57 409 0.86 108.95 31 20.83% 26
Wyoming 29 0.88 98.64 37 0.86 126.02 29 0.63 99.08 37 0.45% 41
York 382 0.55 106.59 417 0.55 116.51 414 0.54 116.02 26 8.85% 35

Notes:

NR:None Reported.

TL: Total Marijuana Arrests Reported.

AQ: Arrest Quotient. This indicator compares local marijuana arrests to national marijuana arrests in proportion to all arrests. The AQ is produced through dividing the local percentage of marijuana arrests by the national percentage. A value of 1.0 indicates that local marijuana arrests are the same percentage of all arrests as the are nationally. A value of 2.0 indicates that local marijuana arrests are twice the percentage of local arrests as they are nationally. AQ values less than 1.0 indicate that local marijuana arrests are less of a percentage of all local arrests than the national standard. A value of .5 indicates that local marijuana arrests are one half the percentage they represent of all national arrests.

RATE: Marijuana arrest rate per 100,000 population.

CHANGE: Percent change in arrest rate from 1995 to 1997.

Citation: Gettman, Jon B. (2000) "US Marijuana Arrests. Part One – County Level Data" Washington, D.C.: National Organization for the Reform of Marijuana Laws.

Original Data Source: Uniform Crime Reporting Program Data [United States]: County-Level Detailed Arrest And Offense Data, [Computer files]. ICPSR ed. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [producer and distributor], 1999.