DRUG SCIENCE

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Ohio 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.
Adams 9 42 9 43 100% 0 0 0% 0 0 0%
Allen 8 14 6 12 75% 2 29 25% 0 0 0%
Ashland 124 229 115 218 93% 9 1,509 7% 0 0 0%
Ashtabula 22 108 21 108 95% 0 0 0% 1 844 5%
Athens 2 8 2 8 100% 0 0 0% 0 0 0%
Auglaize 6 15 6 16 100% 0 0 0% 0 0 0%
Belmont 35 56 34 58 97% 1 38 3% 0 0 0%
Brown 7 17 7 17 100% 0 0 0% 0 0 0%
Butler 894 268 623 208 70% 266 1,196 30% 5 67 1%
Carroll 8 34 8 34 100% 0 0 0% 0 0 0%
Champaign 17 45 17 47 100% 0 0 0% 0 0 0%
Clark 67 50 45 38 67% 22 184 33% 0 0 0%
Clermont 219 150 214 152 98% 5 243 2% 0 0 0%
Clinton 70 164 60 147 86% 10 980 14% 0 0 0%
Columbiana 21 71 19 67 90% 2 295 10% 0 0 0%
Coshocton 1 39 1 41 100% 0 0 0% 0 0 0%
Crawford 52 158 48 149 92% 4 1,458 8% 0 0 0%
Cuyahoga 1,707 196 674 115 39% 1,028 407 60% 5 23 0%
Darke 20 39 20 40 100% 0 0 0% 0 0 0%
Defiance 90 230 80 212 89% 9 1,154 10% 1 384 1%
Delaware 248 203 226 203 91% 21 452 8% 1 21 0%
Erie 446 606 268 410 60% 178 2,799 40% 0 0 0%
Fairfield 26 21 24 21 92% 2 27 8% 0 0 0%
Fayette 63 223 59 218 94% 4 642 6% 0 0 0%
Franklin 666 64 448 58 67% 215 106 32% 3 7 0%
Fulton 22 51 22 52 100% 0 0 0% 0 0 0%
Gallia 11 35 11 37 100% 0 0 0% 0 0 0%
Geauga 71 92 65 87 92% 6 504 8% 0 0 0%
Greene 136 92 91 69 67% 45 447 33% 0 0 0%
Guernsey 19 65 19 68 100% 0 0 0% 0 0 0%
Hamilton 1,266 279 757 232 60% 506 450 40% 3 32 0%
Hancock 34 46 29 41 85% 5 478 15% 0 0 0%
Hardin 9 28 9 29 100% 0 0 0% 0 0 0%
Harrison 6 40 6 42 100% 0 0 0% 0 0 0%
Henry 10 41 10 42 100% 0 0 0% 0 0 0%
Highland 78 188 76 189 97% 2 285 3% 0 0 0%
Hocking 90 310 86 306 96% 4 1,111 4% 0 0 0%
Holmes 6 14 6 15 100% 0 0 0% 0 0 0%
Huron 11 20 9 17 82% 2 343 18% 0 0 0%
Jefferson 20 29 20 31 100% 0 0 0% 0 0 0%
Lake 629 318 531 283 84% 98 1,826 16% 0 0 0%
Licking 119 85 106 80 89% 12 311 10% 1 69 1%
Logan 35 75 28 63 80% 7 833 20% 0 0 0%
Lorain 470 177 311 132 66% 158 690 34% 1 32 0%
Lucas 76 65 49 53 64% 27 129 36% 0 0 0%
Madison 13 67 13 73 100% 0 0 0% 0 0 0%
Mahoning 345 152 237 128 69% 106 290 31% 2 108 1%
Marion 119 180 93 153 78% 25 603 21% 1 180 1%
Medina 74 77 67 72 91% 6 460 8% 1 94 1%
Meigs 8 40 6 31 75% 2 1,190 25% 0 0 0%
Mercer 25 62 25 63 100% 0 0 0% 0 0 0%
Miami 189 236 168 221 89% 21 1,166 11% 0 0 0%
Montgomery 497 126 371 124 75% 125 156 25% 1 15 0%
Morgan 17 114 16 114 94% 1 182 6% 0 0 0%
Morrow 10 29 10 30 100% 0 0 0% 0 0 0%
Muskingum 74 91 65 85 88% 9 271 12% 0 0 0%
Noble 1 8 1 9 100% 0 0 0% 0 0 0%
Ottawa 43 112 39 104 91% 4 1,236 9% 0 0 0%
Paulding 1 5 1 5 100% 0 0 0% 0 0 0%
Perry 9 27 9 27 100% 0 0 0% 0 0 0%
Pickaway 63 121 56 115 89% 6 225 10% 1 322 2%
Pike 66 234 66 243 100% 0 0 0% 0 0 0%
Portage 245 159 208 144 85% 35 580 14% 2 92 1%
Preble 30 72 28 68 93% 2 944 7% 0 0 0%
Richland 355 277 222 197 63% 131 1,068 37% 2 176 1%
Ross 86 114 67 97 78% 19 397 22% 0 0 0%
Sandusky 73 284 54 221 74% 19 2,496 26% 0 0 0%
Scioto 9 12 8 11 89% 1 50 11% 0 0 0%
Seneca 6 10 6 11 100% 0 0 0% 0 0 0%
Stark 546 164 355 118 65% 191 773 35% 0 0 0%
Summit 1,530 323 692 177 45% 836 1,274 55% 2 21 0%
Trumbull 163 87 88 52 54% 75 489 46% 0 0 0%
Tuscarawas 78 88 74 86 95% 4 571 5% 0 0 0%
Union 23 52 22 52 96% 1 69 4% 0 0 0%
Van Wert 88 335 85 331 97% 3 1,119 3% 0 0 0%
Vinton 1 7 1 8 100% 0 0 0% 0 0 0%
Warren 92 126 83 123 90% 8 323 9% 1 45 1%
Washington 126 207 115 195 91% 10 1,535 8% 1 215 1%
Wayne 69 64 53 51 77% 15 853 22% 1 89 1%
Williams 12 73 12 75 100% 0 0 0% 0 0 0%
Wood 221 178 189 159 86% 32 1,430 14% 0 0 0%
Wyandot 1 6 1 7 100% 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.