Minnesota Marijuana Possession Arrest Rates by County and Age Groups Under 30 (2007)

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County
Arrests
Rate
Pct.
Arrests
Rate
Pct.
Arrests
Rate
Pct.
Arrests
Rate
Pct.
Aitkin 0 0 0% 5 552 36% 4 461 29% 2 185 14%
Anoka 22 101 5% 175 856 41% 112 659 27% 54 252 13%
Becker 0 0 0% 10 450 50% 6 297 30% 2 79 10%
Beltrami 2 68 2% 37 993 39% 37 831 39% 8 214 8%
Benton 1 55 4% 6 344 26% 7 337 30% 4 136 17%
Big Stone 0 0 0% 1 261 17% 3 905 50% 0 0 0%
Blue Earth 0 0 0% 44 812 44% 24 295 24% 18 329 18%
Brown 0 0 0% 4 221 57% 2 110 29% 0 0 0%
Carlton 3 142 6% 10 430 21% 14 549 29% 9 380 19%
Carver 5 67 4% 57 895 47% 29 523 24% 14 199 11%
Cass 5 293 24% 4 206 19% 3 176 14% 1 45 5%
Chippewa 0 0 0% 1 283 100% 0 0 0% 0 0 0%
Chisago 3 79 4% 31 857 45% 16 493 23% 7 154 10%
Clay 0 0 0% 20 369 29% 27 408 39% 7 185 10%
Clearwater 0 0 0% 3 536 38% 2 399 25% 0 0 0%
Cook 1 385 5% 1 334 5% 6 2,429 32% 4 1,024 21%
Cottonwood 0 0 0% 2 251 29% 0 0 0% 1 147 14%
Crow Wing 1 27 1% 57 1,438 38% 56 1,549 37% 12 221 8%
Dakota 30 100 6% 210 750 42% 113 478 23% 69 260 14%
Douglas 3 148 13% 9 402 39% 8 335 35% 0 0 0%
Faribault 0 0 0% 2 202 40% 0 0 0% 3 419 60%
Fillmore 0 0 0% 2 134 50% 0 0 0% 0 0 0%
Freeborn 1 54 3% 15 739 44% 8 472 24% 5 237 15%
Goodhue 1 35 1% 25 794 29% 28 1,010 32% 16 502 18%
Grant 0 0 0% 0 0 0% 2 557 50% 1 265 25%
Hennepin 77 111 3% 900 1,227 35% 745 1,054 29% 384 561 15%
Houston 0 0 0% 2 200 33% 1 121 17% 1 117 17%
Hubbard 2 180 8% 12 1,016 46% 4 351 15% 0 0 0%
Isanti 3 111 14% 11 415 52% 4 152 19% 1 25 5%
Itasca 0 0 0% 0 0 0% 0 0 0% 0 0 0%
Jackson 0 0 0% 4 499 27% 6 870 40% 0 0 0%
Kanabec 2 176 10% 4 368 20% 5 494 25% 2 149 10%
Kandiyohi 8 301 9% 32 1,030 37% 21 786 24% 10 364 11%
Kittson 0 0 0% 1 431 33% 1 539 33% 0 0 0%
Koochiching 0 0 0% 5 540 22% 7 961 30% 4 516 17%
Lac qui Parle 0 0 0% 0 0 0% 1 231 100% 0 0 0%
Lake 0 0 0% 2 372 50% 1 196 25% 1 166 25%
Lake Of The Woods 0 0 0% 1 341 9% 1 469 9% 5 1,902 45%
Le Sueur 1 57 20% 3 165 60% 1 60 20% 0 0 0%
Lyon 0 0 0% 2 108 13% 7 320 44% 4 278 25%
Mahnomen 0 0 0% 1 266 50% 0 0 0% 0 0 0%
Martin 0 0 0% 15 1,081 37% 10 844 24% 9 857 22%
McLeod 0 0 0% 14 534 44% 9 403 28% 4 158 13%
Meeker 1 63 5% 6 396 32% 5 339 26% 3 183 16%
Mille Lacs 0 0 0% 6 372 75% 1 69 13% 1 46 13%
Morrison 0 0 0% 7 304 37% 8 382 42% 0 0 0%
Mower 1 40 2% 20 728 34% 16 714 27% 11 467 19%
Nicollet 2 107 13% 7 240 44% 3 85 19% 2 98 13%
Nobles 2 141 100% 0 0 0% 0 0 0% 0 0 0%
Olmsted 8 86 5% 59 652 35% 49 588 29% 27 271 16%
Otter Tail 2 57 4% 25 614 49% 14 387 27% 2 54 4%
Pennington 0 0 0% 4 415 29% 8 850 57% 1 89 7%
Pine 0 0 0% 14 730 61% 3 168 13% 3 119 13%
Pipestone 0 0 0% 0 0 0% 0 0 0% 0 0 0%
Polk 0 0 0% 6 248 20% 14 558 47% 5 228 17%
Pope 0 0 0% 8 1,048 53% 2 295 13% 2 274 13%
Ramsey 33 117 4% 289 912 34% 242 810 29% 126 488 15%
Red Lake 0 0 0% 0 0 0% 0 0 0% 0 0 0%
Redwood 0 0 0% 5 466 56% 2 204 22% 1 127 11%
Renville 0 0 0% 3 249 50% 2 204 33% 0 0 0%
Rice 2 51 4% 28 487 57% 8 117 16% 4 81 8%
Rock 0 0 0% 1 162 50% 1 164 50% 0 0 0%
Roseau 0 0 0% 2 165 33% 2 223 33% 0 0 0%
Scott 8 75 4% 96 1,121 42% 67 899 29% 27 232 12%
Sherburne 0 0 0% 37 653 39% 32 513 33% 15 191 16%
St Louis 11 106 4% 110 730 36% 82 494 27% 36 299 12%
Stearns 6 60 2% 116 842 39% 91 510 31% 41 327 14%
Steele 0 0 0% 22 885 45% 10 430 20% 9 357 18%
Stevens 0 0 0% 3 296 50% 1 72 17% 0 0 0%
Swift 1 173 8% 6 966 50% 2 294 17% 1 178 8%
Todd 0 0 0% 15 907 25% 20 1,387 34% 9 587 15%
Wabasha 0 0 0% 9 634 64% 2 162 14% 1 77 7%
Wadena 0 0 0% 4 441 50% 0 0 0% 3 351 38%
Waseca 0 0 0% 1 80 11% 2 158 22% 5 338 56%
Washington 19 107 6% 125 771 42% 82 558 28% 26 167 9%
Watonwan 1 120 13% 2 258 25% 2 328 25% 1 179 13%
Wilkin 0 0 0% 1 205 50% 0 0 0% 0 0 0%
Winona 1 38 2% 16 315 38% 15 228 36% 5 147 12%
Wright 5 56 3% 61 764 41% 39 516 26% 17 155 11%

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Notes:

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.