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Wisconsin Arrest Rates

State Arrest Report PDF Marijuana Arrests By Rate 1995 - 1997

1995

1996

1997

1995 to 1997



NAME


TL


AQ


RATE


TL


AQ


RATE


TL


AQ


RATE


RANK


CHANGE


RANK
Wisconsin 13,165 0.74 256.98 14,309 0.71 277.31 15,204 0.70 294.08 - 14.44% -
Menominee 50 1.19 1124.86 25 0.35 558.41 49 0.63 1092.53 1 -2.87% 47
Walworth 568 1.41 670.82 618 1.38 724.71 646 1.42 756.14 2 12.72% 39
Forest 44 1.28 467.49 67 1.74 706.83 55 1.14 579.19 3 23.89% 27
Columbia 172 1.13 350.94 166 0.93 336.30 269 1.17 543.96 4 55.00% 17
Oneida 234 1.62 675.75 151 1.01 432.96 167 0.94 477.95 5 -29.27% 65
Ashland 28 0.41 168.78 77 1.17 460.83 80 1.11 477.87 6 183.14% 3
Washburn 25 0.81 167.72 79 2.18 526.21 64 1.75 425.50 7 153.70% 4
Polk 112 1.39 303.02 151 1.58 405.63 155 1.66 415.59 8 37.15% 20
Jefferson 325 0.99 424.39 243 0.67 315.06 320 0.90 414.10 9 -2.42% 46
Iowa 14 0.36 65.30 33 0.67 152.82 85 1.67 392.88 10 501.67% 1
Milwaukee 3,168 0.65 334.80 3,569 0.63 374.41 3,694 0.59 386.72 11 15.51% 35
Langlade 65 0.68 318.02 50 0.50 242.88 79 1.08 383.03 12 20.44% 31
Iron 31 1.30 474.73 24 1.13 364.96 25 1.05 379.48 13 -20.06% 61
Sauk 199 1.07 394.95 205 0.95 403.98 191 0.84 375.69 14 -4.88% 48
Kenosha 407 0.65 292.98 424 0.65 303.03 519 0.68 370.22 15 26.36% 25
St. Croix 251 1.71 478.62 141 1.07 266.95 190 1.24 359.03 16 -24.99% 64
Price 23 0.64 143.64 62 1.45 384.45 57 1.40 352.81 17 145.62% 6
Green Lake 41 0.67 209.45 50 0.78 253.65 69 0.89 349.40 18 66.82% 14
Lincoln 62 0.65 214.43 79 0.89 271.28 100 0.87 342.76 19 59.85% 16
Washington 230 0.62 212.78 276 0.70 253.51 373 0.80 341.95 20 60.71% 15
Richland 24 0.86 133.52 12 0.44 66.28 61 1.72 336.31 21 151.88% 5
Rock 453 0.51 307.89 453 0.46 305.69 489 0.46 329.35 22 6.97% 41
Sawyer 60 1.32 389.31 32 0.74 206.16 51 0.90 327.93 23 -15.77% 59
Dunn 141 1.20 369.54 138 1.07 359.09 124 0.92 322.04 24 -12.85% 56
Dane 652 0.60 165.74 1,212 0.87 305.88 1,262 0.84 317.89 25 91.81% 9
Monroe 109 0.94 281.92 223 1.39 572.65 124 0.74 317.82 26 12.74% 38
Green 57 0.74 176.86 61 0.68 187.92 101 1.06 310.57 27 75.60% 12
Door 91 1.44 341.93 98 1.35 365.60 83 1.24 309.06 28 -9.61% 52
La Crosse 235 0.53 230.81 237 0.48 231.11 303 0.56 294.91 29 27.77% 24
Manitowoc 304 0.86 365.31 253 0.64 301.86 241 0.54 286.99 30 -21.44% 62
Crawford 24 0.60 146.37 27 0.75 163.49 45 1.05 271.97 31 85.81% 10
Outagamie 402 0.81 257.57 364 0.60 231.55 427 0.65 271.11 32 5.26% 43
Racine 399 0.68 217.83 427 0.76 231.46 501 0.84 271.05 33 24.43% 26
Burnett 25 0.92 179.78 12 0.41 85.68 38 1.01 270.81 34 50.64% 18
Marathon 256 0.92 211.99 261 0.70 214.59 319 0.81 261.78 35 23.49% 28
Brown 553 0.84 264.67 632 0.81 300.32 548 0.73 259.90 36 -1.80% 45
Vilas 105 1.65 528.46 71 1.25 354.79 51 0.97 254.36 37 -51.87% 69
Douglas 94 0.76 217.41 66 0.52 151.56 107 0.75 245.23 38 12.80% 37
Marquette 19 0.95 138.90 33 1.66 239.53 33 1.48 239.08 39 72.12% 13
Sheboygan 241 0.62 223.37 265 0.60 243.86 260 0.57 238.80 40 6.91% 42
Winnebago 326 0.72 218.70 392 0.76 261.10 358 0.66 238.00 41 8.82% 40
Waukesha 872 0.96 260.39 834 0.85 247.27 762 0.79 225.49 42 -13.40% 57
Eau Claire 237 0.63 261.61 233 0.56 255.36 199 0.43 217.68 43 -16.79% 60
Wood 44 0.21 57.42 122 0.52 158.08 165 0.72 213.39 44 271.62% 2
Marinette 73 0.77 173.06 84 0.77 197.72 87 0.79 204.39 45 18.10% 33
Juneau 36 0.65 154.12 45 0.64 191.29 47 0.66 199.42 46 29.39% 23
Vernon 58 1.17 215.06 53 0.96 195.13 52 1.02 191.09 47 -11.15% 55
Waupaca 79 0.48 156.51 86 0.48 169.16 96 0.53 188.48 48 20.43% 32
Fond du Lac 161 0.62 177.40 213 0.61 233.02 164 0.48 179.07 49 0.94% 44
Shawano 37 0.37 96.66 66 0.54 171.19 68 0.50 176.04 50 82.12% 11
Kewaunee 27 0.66 138.96 35 0.65 178.85 33 0.52 168.32 51 21.13% 30
Portage 120 0.70 185.89 93 0.54 143.03 108 0.65 165.78 52 -10.81% 54
Dodge 133 0.66 177.49 89 0.41 117.93 124 0.48 164.00 53 -7.60% 50
Bayfield 28 1.22 188.48 15 0.60 100.25 24 0.88 160.12 54 -15.05% 58
Ozaukee 133 0.81 169.35 143 0.85 180.78 121 0.66 152.68 55 -9.84% 53
Trempealeau 34 1.10 130.71 41 1.19 156.52 39 0.93 148.61 56 13.69% 36
Barron 69 0.73 161.19 49 0.45 113.65 63 0.57 145.85 57 -9.52% 51
Adams 16 0.59 93.23 14 0.52 81.00 24 0.80 138.61 58 48.67% 19
Oconto 42 0.87 131.32 43 0.63 133.49 40 0.55 123.94 59 -5.62% 49
Taylor 43 1.23 221.94 36 1.03 184.49 24 0.72 122.76 60 -44.69% 67
Calumet 45 0.87 162.50 37 0.76 132.66 32 0.68 114.52 61 -29.53% 66
Florence 14 2.01 267.48 13 1.49 246.63 6 0.80 113.61 62 -57.52% 71
Buffalo 13 0.67 92.74 10 0.44 70.84 16 0.67 113.13 63 21.98% 29
Chippewa 40 0.35 76.20 34 0.27 64.31 55 0.42 103.83 64 36.26% 21
Grant 56 0.43 111.77 38 0.31 75.30 44 0.35 87.03 65 -22.13% 63
Jackson 7 0.15 40.96 32 0.55 185.91 15 0.30 86.98 66 112.35% 8
Pepin 12 0.95 165.61 5 0.38 68.52 6 0.40 82.07 67 -50.44% 68
Clark 23 0.69 70.35 28 0.66 85.03 27 0.55 81.84 68 16.34% 34
Pierce 67 0.75 183.96 31 0.34 84.51 29 0.30 78.91 69 -57.11% 70
Lafayette 5 0.30 30.57 6 0.31 36.43 11 0.47 66.66 70 118.03% 7
Waushara 19 0.93 91.35 16 0.81 76.38 6 0.31 28.59 71 -68.71% 72
Rusk 3 0.08 19.60 6 0.15 38.92 4 0.09 25.90 72 32.13% 22

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.