DRUG SCIENCE

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

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  Age 10 to 14 Age 15 to 19 Age 20 to 24 Age 25 to 29
County
Arrests
Rate
Pct.
Arrests
Rate
Pct.
Arrests
Rate
Pct.
Arrests
Rate
Pct.
Adams 0 0 0% 2 119 18% 0 0 0% 1 44 9%
Allen 1 16 1% 29 398 15% 52 849 27% 43 596 22%
Ashland 0 0 0% 13 310 16% 27 652 34% 15 357 19%
Ashtabula 0 0 0% 9 336 39% 8 374 35% 3 99 13%
Athens 0 0 0% 1 29 13% 1 17 13% 2 111 25%
Auglaize 0 0 0% 1 68 25% 1 81 25% 0 0 0%
Belmont 0 0 0% 6 176 27% 8 218 36% 4 105 18%
Brown 0 0 0% 3 96 14% 6 248 27% 2 58 9%
Butler 8 35 1% 320 1,230 34% 273 988 29% 142 569 15%
Carroll 0 0 0% 0 0 0% 0 0 0% 0 0 0%
Champaign 0 0 0% 15 566 31% 12 521 25% 10 337 21%
Clark 3 33 3% 36 377 32% 24 278 22% 20 205 18%
Clermont 4 39 2% 69 720 34% 61 743 30% 26 230 13%
Clinton 0 0 0% 16 527 23% 29 1,038 42% 12 331 17%
Columbiana 1 19 25% 2 37 50% 0 0 0% 0 0 0%
Coshocton 0 0 0% 0 0 0% 0 0 0% 4 141 40%
Crawford 0 0 0% 11 543 21% 11 700 21% 7 292 13%
Cuyahoga 19 33 1% 443 744 30% 407 832 28% 257 592 18%
Darke 4 111 10% 17 495 40% 9 305 21% 3 86 7%
Defiance 0 0 0% 24 908 33% 14 596 19% 11 389 15%
Delaware 3 65 2% 56 1,374 33% 48 1,240 28% 23 396 13%
Erie 6 126 1% 130 2,922 27% 132 3,219 27% 91 2,092 19%
Fairfield 0 0 0% 5 57 14% 13 155 36% 8 72 22%
Fayette 1 53 2% 11 630 20% 16 1,102 29% 5 231 9%
Franklin 28 39 3% 300 404 37% 196 247 24% 136 180 17%
Fulton 0 0 0% 4 132 57% 0 0 0% 1 36 14%
Gallia 0 0 0% 3 146 27% 1 48 9% 1 46 9%
Geauga 4 68 7% 21 370 39% 13 279 24% 5 109 9%
Greene 6 63 3% 60 444 28% 69 471 33% 30 289 14%
Guernsey 0 0 0% 8 419 19% 19 1,227 44% 5 218 12%
Hamilton 32 115 2% 485 1,559 28% 455 1,574 27% 288 1,244 17%
Hancock 0 0 0% 10 183 40% 5 96 20% 3 56 12%
Hardin 0 0 0% 1 33 17% 2 59 33% 0 0 0%
Harrison 0 0 0% 2 209 40% 1 135 20% 0 0 0%
Henry 0 0 0% 4 219 21% 6 414 32% 3 176 16%
Highland 1 34 1% 16 546 22% 18 803 25% 11 291 15%
Hocking 0 0 0% 19 1,037 27% 19 1,137 27% 11 455 15%
Holmes 0 0 0% 1 31 8% 4 195 31% 3 67 23%
Huron 0 0 0% 7 187 23% 4 130 13% 2 45 7%
Jefferson 0 0 0% 4 85 33% 3 68 25% 2 54 17%
Lake 11 108 2% 210 2,074 35% 165 1,884 27% 100 1,063 17%
Licking 4 39 3% 34 335 29% 34 364 29% 15 141 13%
Logan 1 31 3% 9 296 29% 9 352 29% 2 56 6%
Lorain 9 48 2% 166 903 36% 116 694 25% 62 335 13%
Lucas 2 25 6% 10 113 32% 13 157 42% 2 25 6%
Madison 0 0 0% 3 221 23% 4 302 31% 3 211 23%
Mahoning 0 0 0% 94 553 27% 99 621 29% 54 368 16%
Marion 3 72 2% 36 831 22% 49 1,270 30% 24 471 15%
Medina 0 0 0% 18 267 30% 11 184 18% 10 135 16%
Meigs 0 0 0% 3 246 27% 0 0 0% 5 343 45%
Mercer 0 0 0% 6 194 23% 9 368 35% 3 111 12%
Miami 4 74 2% 61 1,138 34% 40 853 22% 30 516 17%
Montgomery 10 39 2% 233 836 39% 149 544 25% 94 388 16%
Morgan 0 0 0% 3 307 12% 5 614 20% 9 809 36%
Morrow 0 0 0% 6 256 43% 1 49 7% 0 0 0%
Muskingum 1 18 1% 24 405 30% 20 391 25% 13 204 16%
Noble 0 0 0% 0 0 0% 0 0 0% 0 0 0%
Ottawa 0 0 0% 2 87 12% 3 135 18% 4 156 24%
Perry 0 0 0% 1 43 33% 2 105 67% 0 0 0%
Pickaway 1 30 2% 10 272 21% 15 437 32% 10 230 21%
Pike 0 0 0% 7 364 19% 16 1,084 44% 4 159 11%
Portage 0 0 0% 81 751 45% 59 464 33% 12 127 7%
Preble 3 112 6% 18 675 37% 9 397 18% 6 208 12%
Richland 26 316 6% 128 1,523 31% 88 1,177 22% 49 553 12%
Ross 1 21 3% 9 196 24% 8 173 22% 5 81 14%
Sandusky 4 234 4% 28 1,634 31% 23 1,514 26% 17 984 19%
Scioto 1 22 3% 9 170 23% 7 140 18% 6 100 15%
Seneca 0 0 0% 1 23 10% 4 98 40% 2 50 20%
Stark 20 89 3% 203 861 27% 201 968 27% 118 536 16%
Summit 23 68 2% 365 1,074 27% 353 1,154 26% 260 857 19%
Trumbull 3 24 2% 43 346 34% 27 248 22% 21 179 17%
Tuscarawas 3 51 3% 29 535 24% 45 940 38% 14 204 12%
Union 1 31 2% 10 344 17% 17 675 29% 11 315 19%
Van Wert 0 0 0% 15 811 25% 9 651 15% 12 606 20%
Vinton 0 0 0% 1 771 33% 1 949 33% 1 521 33%
Warren 0 0 0% 40 1,226 24% 54 1,737 32% 25 582 15%
Washington 0 0 0% 24 583 21% 24 625 21% 20 541 17%
Wayne 0 0 0% 25 305 40% 19 265 30% 6 78 10%
Williams 0 0 0% 5 200 45% 3 147 27% 0 0 0%
Wood 3 40 1% 70 602 35% 66 437 33% 22 259 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.