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% |
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.