Michigan Marijuana Possession Arrest Rates by County and Race (2007)

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  All White Black Other
County
Arrests
Rate
Arrests
Rate
Pct.
Arrests
Rate
Pct.
Arrests
Rate
Pct.
Alcona 6 51 6 53 100% 0 0 0% 0 0 0%
Alger 13 136 12 144 92% 0 0 0% 1 250 8%
Allegan 140 132 126 123 90% 14 905 10% 0 0 0%
Alpena 26 87 25 86 96% 1 594 4% 0 0 0%
Antrim 4 17 4 18 100% 0 0 0% 0 0 0%
Arenac 15 89 15 94 100% 0 0 0% 0 0 0%
Baraga 5 74 5 98 100% 0 0 0% 0 0 0%
Barry 75 140 75 143 100% 0 0 0% 0 0 0%
Bay 198 184 183 178 92% 15 914 8% 0 0 0%
Benzie 17 95 17 99 100% 0 0 0% 0 0 0%
Berrien 467 295 318 245 68% 147 630 31% 2 65 0%
Branch 87 190 78 182 90% 9 532 10% 0 0 0%
Calhoun 191 152 84 79 44% 107 820 56% 0 0 0%
Cass 85 166 70 150 82% 15 530 18% 0 0 0%
Charlevoix 32 121 28 111 88% 2 1,322 6% 2 379 6%
Cheboygan 20 74 20 78 100% 0 0 0% 0 0 0%
Chippewa 24 62 19 65 79% 1 39 4% 4 82 17%
Clare 28 90 28 92 100% 0 0 0% 0 0 0%
Clinton 156 228 136 207 87% 20 1,690 13% 0 0 0%
Crawford 17 114 17 120 100% 0 0 0% 0 0 0%
Delta 33 87 31 86 94% 1 920 3% 1 98 3%
Dickinson 39 143 38 142 97% 0 0 0% 1 306 3%
Eaton 82 83 77 86 94% 5 78 6% 0 0 0%
Emmet 53 160 51 163 96% 1 567 2% 1 81 2%
Genesee 393 89 270 80 69% 123 144 31% 0 0 0%
Gladwin 41 152 39 148 95% 2 1,882 5% 0 0 0%
Gogebic 19   18   95% 1   5% 0   0%
Grand Traverse 168 196 159 193 95% 8 946 5% 1 73 1%
Gratiot 107 255 102 262 95% 5 255 5% 0 0 0%
Hillsdale 59 125 58 126 98% 1 302 2% 0 0 0%
Houghton 19 54 19 57 100% 0 0 0% 0 0 0%
Huron 9 28 9 29 100% 0 0 0% 0 0 0%
Ingham 408 145 246 107 60% 159 521 39% 3 22 1%
Ionia 84 129 80 134 95% 4 114 5% 0 0 0%
Iosco 28 105 27 105 96% 1 515 4% 0 0 0%
Iron 11 90 10 86 91% 0 0 0% 1 580 9%
Isabella 84 128 67 112 80% 13 774 15% 4 124 5%
Jackson 300 187 209 147 70% 89 683 30% 2 108 1%
Kalamazoo 571 242 289 143 51% 279 1,195 49% 3 47 1%
Kalkaska 18 104 18 107 100% 0 0 0% 0 0 0%
Kent 1,144 191 565 109 49% 571 1,016 50% 8 51 1%
Keweenaw 3 140 3 144 100% 0 0 0% 0 0 0%
Lake 8 68 5 49 63% 2 165 25% 1 626 13%
Lapeer 128 136 125 137 98% 3 265 2% 0 0 0%
Leelanau 5 23 5 25 100% 0 0 0% 0 0 0%
Lenawee 137 134 128 131 93% 9 368 7% 0 0 0%
Livingston 93 50 86 47 92% 7 481 8% 0 0 0%
Luce 8 158 7 169 88% 0 0 0% 1 295 13%
Mackinac 24 220 23 268 96% 0 0 0% 1 64 4%
Macomb 1,430 174 1,028 141 72% 395 701 28% 7 25 0%
Manistee 52 208 51 217 98% 0 0 0% 1 209 2%
Marquette 107 166 103 169 96% 3 290 3% 1 69 1%
Mason 54 186 51 182 94% 3 1,364 6% 0 0 0%
Mecosta 52 123 44 113 85% 8 463 15% 0 0 0%
Menominee 50 204 46 197 92% 2 2,904 4% 2 260 4%
Midland 71 85 62 78 87% 9 891 13% 0 0 0%
Missaukee 7 46 7 47 100% 0 0 0% 0 0 0%
Monroe 144 94 108 74 75% 36 976 25% 0 0 0%
Montcalm 44 74 42 74 95% 2 137 5% 0 0 0%
Montmorency 1 10 1 10 100% 0 0 0% 0 0 0%
Muskegon 138 79 74 51 54% 64 271 46% 0 0 0%
Newaygo 57 115 57 119 100% 0 0 0% 0 0 0%
Oakland 2,156 178 1,417 145 66% 734 497 34% 5 7 0%
Oceana 18 70 17 68 94% 0 0 0% 1 286 6%
Ogemaw 17 81 17 84 100% 0 0 0% 0 0 0%
Ontonagon 1 14 1 15 100% 0 0 0% 0 0 0%
Osceola 27 115 26 114 96% 1 617 4% 0 0 0%
Oscoda 14 154 14 158 100% 0 0 0% 0 0 0%
Otsego 27 109 27 112 100% 0 0 0% 0 0 0%
Ottawa 533 205 463 188 87% 55 1,470 10% 15 209 3%
Presque Isle 4 31 4 31 100% 0 0 0% 0 0 0%
Roscommon 44 169 44 173 100% 0 0 0% 0 0 0%
Saginaw 281 139 156 98 56% 125 332 44% 0 0 0%
Sanilac 71 173 68 169 96% 3 1,603 4% 0 0 0%
Schoolcraft 6 114 6 129 100% 0 0 0% 0 0 0%
Shiawassee 81 115 74 108 91% 7 2,167 9% 0 0 0%
St Clair 205 119 164 100 80% 41 964 20% 0 0 0%
St Joseph 163 264 138 236 85% 25 1,551 15% 0 0 0%
Tuscola 37 75 37 77 100% 0 0 0% 0 0 0%
Van Buren 166 210 136 187 82% 30 804 18% 0 0 0%
Washtenaw 490 141 258 96 53% 227 532 46% 5 17 1%
Wayne 3,783 198 1,512 145 40% 2,261 287 60% 10 19 0%
Wexford 32 104 31 104 97% 1 612 3% 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.