Minnesota Marijuana Possession Arrest Rates by County and Race (2006)

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All
White
Black
Other
County
Arrests
Rate
Arrests
Rate
Pct.
Arrests
Rate
Pct.
Arrests
Rate
Pct.
Aitkin 7 43 7 45 100% 0 0 0% 0 0 0%
Anoka 433 133 376 127 87% 51 483 12% 6 43 1%
Becker 35 109 27 94 77% 1 800 3% 7 279 20%
Beltrami 49 114 26 77 53% 0 0 0% 23 269 47%
Benton 23 83 20 76 87% 2 509 9% 1 163 4%
Big Stone 2 36 1 18 50% 0 0 0% 1 1,685 50%
Blue Earth 82 140 74 134 90% 7 554 9% 1 66 1%
Brown 6 24 6 25 100% 0 0 0% 0 0 0%
Carlton 24 70 19 60 79% 1 255 4% 4 202 17%
Carver 81 95 73 90 90% 4 329 5% 4 182 5%
Cass 22 76 17 67 77% 1 1,000 5% 4 125 18%
Chippewa 1 19 1 19 100% 0 0 0% 0 0 0%
Chisago 63 127 61 128 97% 0 0 0% 2 214 3%
Clay 59 109 52 100 88% 2 591 3% 5 367 8%
Cook 18 333 17 352 94% 0 0 0% 1 223 6%
Cottonwood 4 34 4 35 100% 0 0 0% 0 0 0%
Crow Wing 157 260 144 245 92% 10 2,862 6% 3 377 2%
Dakota 592 154 464 134 78% 111 738 19% 17 100 3%
Dodge 10 51 10 52 100% 0 0 0% 0 0 0%
Douglas 24 68 24 69 100% 0 0 0% 0 0 0%
Faribault 3 20 3 21 100% 0 0 0% 0 0 0%
Fillmore 2 9 2 9 100% 0 0 0% 0 0 0%
Freeborn 41 127 38 121 93% 2 1,205 5% 1 358 2%
Goodhue 101 224 73 168 72% 21 5,401 21% 7 892 7%
Grant 4 65 4 66 100% 0 0 0% 0 0 0%
Hennepin 2,305 205 852 94 37% 1,370 1,165 59% 83 113 4%
Houston 10 50 9 46 90% 1 939 10% 0 0 0%
Hubbard 22 116 18 99 82% 0 0 0% 4 824 18%
Isanti 9 24 8 22 89% 0 0 0% 1 203 11%
Itasca 9 20 9 21 100% 0 0 0% 0 0 0%
Jackson 12 107 11 100 92% 0 0 0% 1 502 8%
Kanabec 19 116 19 120 100% 0 0 0% 0 0 0%
Kandiyohi 76 183 74 183 97% 2 509 3% 0 0 0%
Kittson 13 349 13 355 100% 0 0 0% 0 0 0%
Koochiching 29 207 27 202 93% 0 0 0% 2 515 7%
Lake 6 65 6 66 100% 0 0 0% 0 0 0%
Lake Of The Woods 26 584 26 608 100% 0 0 0% 0 0 0%
Le Sueur 6 23 6 24 100% 0 0 0% 0 0 0%
Lyon 18 73 17 72 94% 1 257 6% 0 0 0%
Mahnomen 5 97 1 31 20% 0 0 0% 4 256 80%
Martin 28 132 28 135 100% 0 0 0% 0 0 0%
McLeod 33 91 33 93 100% 0 0 0% 0 0 0%
Meeker 29 123 29 125 100% 0 0 0% 0 0 0%
Mille Lacs 40 174 32 149 80% 1 1,011 3% 7 634 18%
Morrison 15 45 15 46 100% 0 0 0% 0 0 0%
Mower 44 113 41 109 93% 3 618 7% 0 0 0%
Nicollet 12 39 11 37 92% 1 228 8% 0 0 0%
Nobles 2 10 2 10 100% 0 0 0% 0 0 0%
Olmsted 140 103 100 82 71% 39 766 28% 1 14 1%
Otter Tail 35 60 35 62 100% 0 0 0% 0 0 0%
Pennington 28 204 28 212 100% 0 0 0% 0 0 0%
Pine 14 49 13 48 93% 0 0 0% 1 107 7%
Polk 32 102 28 93 88% 4 2,498 13% 0 0 0%
Pope 7 62 7 63 100% 0 0 0% 0 0 0%
Ramsey 650 141 267 74 41% 365 841 56% 18 41 3%
Redwood 12 74 8 53 67% 0 0 0% 4 473 33%
Renville 12 71 11 67 92% 1 4,027 8% 0 0 0%
Rice 40 65 37 63 93% 3 284 8% 0 0 0%
Roseau 8 48 7 44 88% 0 0 0% 1 165 13%
Scott 174 142 145 130 83% 17 687 10% 12 177 7%
Sherburne 123 162 118 162 96% 3 272 2% 2 163 2%
St Louis 305 157 261 142 86% 33 1,527 11% 11 197 4%
Stearns 216 136 176 116 81% 40 1,744 19% 0 0 0%
Steele 55 153 50 146 91% 4 392 7% 1 256 2%
Stevens 9 91 8 86 89% 1 556 11% 0 0 0%
Swift 6 53 6 59 100% 0 0 0% 0 0 0%
Todd 28 126 27 124 96% 0 0 0% 1 433 4%
Traverse 1 26 1 27 100% 0 0 0% 0 0 0%
Wabasha 13 165 13 168 100% 0 0 0% 0 0 0%
Wadena 12 92 12 94 100% 0 0 0% 0 0 0%
Waseca 3 15 3 16 100% 0 0 0% 0 0 0%
Washington 286 129 250 124 87% 25 380 9% 11 106 4%
Watonwan 15 133 15 136 100% 0 0 0% 0 0 0%
Wilkin 4 58 4 60 100% 0 0 0% 0 0 0%
Winona 52 105 44 93 85% 7 1,337 13% 1 79 2%
Wright 110 99 98 91 89% 11 1,177 10% 1 61 1%
Yellow Medicine 1 9 1 9 100% 0 0 0% 0 0 0%

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Notes:

Classification: The Uniform Crime Reporting Program utilizes 4 classifications for race: White, Black, Indian (Native-American), and Asian. In the tables above the classification “Other” includes both Indian (Native-American) and Asian arrests.

Rates: Arrrest rates are per 100,000 population.

Source: Uniform Crime Reporting Program Data

Because of incomplete reporting the arrest totals presented in tables with data on age, sex, and race will NOT always correspond to totals presented in other tables. Please review the following background material for More Information on Source Data.