All
|
White
|
Black
|
Other
|
||||||||
County |
Arrests
|
Rate
|
Arrests
|
Rate
|
Pct.
|
Arrests
|
Rate
|
Pct.
|
Arrests
|
Rate
|
Pct.
|
Adams | 2 | 47 | 2 | 47 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Allamakee | 1 | 9 | 1 | 9 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Appanoose | 23 | 167 | 23 | 171 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Audubon | 2 | 31 | 2 | 31 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Benton | 32 | 132 | 31 | 130 | 97% | 1 | 1,066 | 3% | 0 | 0 | 0% |
Black Hawk | 492 | 389 | 305 | 271 | 62% | 186 | 1,804 | 38% | 1 | 52 | 0% |
Boone | 41 | 153 | 37 | 141 | 90% | 4 | 2,263 | 10% | 0 | 0 | 0% |
Bremer | 26 | 109 | 25 | 107 | 96% | 0 | 0 | 0% | 1 | 570 | 4% |
Buchanan | 38 | 180 | 36 | 173 | 95% | 2 | 2,597 | 5% | 0 | 0 | 0% |
Buena Vista | 21 | 104 | 17 | 90 | 81% | 0 | 0 | 0% | 4 | 452 | 19% |
Butler | 8 | 53 | 8 | 53 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Calhoun | 1 | 10 | 1 | 10 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Carroll | 37 | 175 | 37 | 177 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Cass | 13 | 91 | 11 | 78 | 85% | 2 | 5,732 | 15% | 0 | 0 | 0% |
Cedar | 34 | 185 | 26 | 144 | 76% | 8 | 9,815 | 24% | 0 | 0 | 0% |
Cerro Gordo | 122 | 272 | 99 | 227 | 81% | 21 | 4,592 | 17% | 2 | 433 | 2% |
Cherokee | 15 | 122 | 15 | 124 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Chickasaw | 3 | 24 | 2 | 16 | 67% | 1 | 8,851 | 33% | 0 | 0 | 0% |
Clarke | 11 | 119 | 11 | 122 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Clay | 43 | 253 | 37 | 222 | 86% | 4 | 11,943 | 9% | 2 | 1,209 | 5% |
Clinton | 149 | 298 | 126 | 263 | 85% | 23 | 2,052 | 15% | 0 | 0 | 0% |
Crawford | 14 | 82 | 14 | 85 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Dallas | 56 | 129 | 54 | 129 | 96% | 2 | 400 | 4% | 0 | 0 | 0% |
Davis | 6 | 69 | 6 | 70 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Delaware | 13 | 72 | 13 | 73 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Des Moines | 156 | 380 | 119 | 310 | 76% | 36 | 2,230 | 23% | 1 | 233 | 1% |
Dickinson | 26 | 155 | 24 | 145 | 92% | 2 | 5,850 | 8% | 0 | 0 | 0% |
Dubuque | 62 | 67 | 51 | 57 | 82% | 11 | 800 | 18% | 0 | 0 | 0% |
Emmet | 5 | 47 | 5 | 48 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Fayette | 13 | 61 | 13 | 62 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Floyd | 4 | 24 | 3 | 19 | 75% | 1 | 1,032 | 25% | 0 | 0 | 0% |
Franklin | 9 | 83 | 8 | 75 | 89% | 1 | 5,747 | 11% | 0 | 0 | 0% |
Grundy | 3 | 24 | 3 | 24 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Hamilton | 42 | 258 | 39 | 248 | 93% | 2 | 4,214 | 5% | 1 | 276 | 2% |
Hancock | 4 | 35 | 4 | 35 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Hardin | 13 | 72 | 12 | 68 | 92% | 1 | 637 | 8% | 0 | 0 | 0% |
Harrison | 6 | 38 | 5 | 32 | 83% | 1 | 7,473 | 17% | 0 | 0 | 0% |
Henry | 44 | 216 | 39 | 202 | 89% | 4 | 1,156 | 9% | 1 | 196 | 2% |
Howard | 22 | 226 | 22 | 228 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Humboldt | 4 | 40 | 4 | 41 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Ida | 8 | 108 | 6 | 82 | 75% | 2 | 9,446 | 25% | 0 | 0 | 0% |
Iowa | 21 | 130 | 19 | 119 | 90% | 2 | 3,605 | 10% | 0 | 0 | 0% |
Jackson | 23 | 113 | 23 | 114 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Jasper | 56 | 148 | 53 | 144 | 95% | 3 | 776 | 5% | 0 | 0 | 0% |
Jefferson | 27 | 168 | 27 | 175 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Johnson | 489 | 416 | 360 | 341 | 74% | 123 | 2,799 | 25% | 6 | 102 | 1% |
Jones | 22 | 107 | 22 | 111 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Kossuth | 7 | 43 | 7 | 44 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Lee | 49 | 133 | 43 | 123 | 88% | 6 | 532 | 12% | 0 | 0 | 0% |
Linn | 597 | 299 | 456 | 246 | 76% | 139 | 2,061 | 23% | 2 | 46 | 0% |
Louisa | 8 | 67 | 8 | 68 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Lucas | 13 | 134 | 13 | 135 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Lyon | 8 | 68 | 8 | 68 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Madison | 24 | 158 | 23 | 153 | 96% | 0 | 0 | 0% | 1 | 1,122 | 4% |
Mahaska | 50 | 222 | 45 | 207 | 90% | 5 | 2,569 | 10% | 0 | 0 | 0% |
Marion | 40 | 156 | 39 | 156 | 98% | 1 | 703 | 3% | 0 | 0 | 0% |
Marshall | 96 | 242 | 86 | 225 | 90% | 7 | 1,465 | 7% | 3 | 506 | 3% |
Mills | 29 | 189 | 27 | 179 | 93% | 2 | 2,737 | 7% | 0 | 0 | 0% |
Mitchell | 14 | 128 | 14 | 128 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Monona | 18 | 271 | 15 | 230 | 83% | 3 | 41,604 | 17% | 0 | 0 | 0% |
Monroe | 17 | 216 | 16 | 206 | 94% | 1 | 5,397 | 6% | 0 | 0 | 0% |
Montgomery | 13 | 114 | 13 | 116 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Muscatine | 119 | 277 | 111 | 266 | 93% | 8 | 1,784 | 7% | 0 | 0 | 0% |
O’Brien | 14 | 96 | 13 | 91 | 93% | 1 | 1,475 | 7% | 0 | 0 | 0% |
Osceola | 10 | 149 | 10 | 151 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Page | 17 | 104 | 17 | 109 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Palo Alto | 3 | 31 | 3 | 31 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Plymouth | 49 | 195 | 45 | 182 | 92% | 3 | 3,255 | 6% | 1 | 618 | 2% |
Pocahontas | 14 | 176 | 13 | 166 | 93% | 1 | 4,604 | 7% | 0 | 0 | 0% |
Polk | 1,016 | 247 | 806 | 218 | 79% | 201 | 920 | 20% | 9 | 63 | 1% |
Pottawattamie | 219 | 243 | 194 | 222 | 89% | 22 | 2,289 | 10% | 3 | 293 | 1% |
Poweshiek | 14 | 74 | 14 | 76 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Sac | 6 | 56 | 5 | 47 | 83% | 1 | 2,997 | 17% | 0 | 0 | 0% |
Scott | 673 | 424 | 402 | 283 | 60% | 268 | 2,565 | 40% | 3 | 84 | 0% |
Shelby | 2 | 27 | 2 | 27 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Sioux | 12 | 37 | 12 | 38 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Story | 81 | 101 | 72 | 99 | 89% | 8 | 448 | 10% | 1 | 20 | 1% |
Tama | 47 | 261 | 30 | 181 | 64% | 4 | 3,927 | 9% | 13 | 1,087 | 28% |
Union | 4 | 33 | 3 | 25 | 75% | 1 | 1,519 | 25% | 0 | 0 | 0% |
Van Buren | 2 | 26 | 2 | 26 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Wapello | 39 | 108 | 39 | 111 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Warren | 91 | 211 | 87 | 205 | 96% | 4 | 2,251 | 4% | 0 | 0 | 0% |
Washington | 8 | 56 | 8 | 57 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Wayne | 3 | 45 | 3 | 46 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Webster | 38 | 97 | 24 | 65 | 63% | 13 | 859 | 34% | 1 | 204 | 3% |
Winnebago | 1 | 8 | 1 | 9 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Winneshiek | 10 | 47 | 10 | 48 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Woodbury | 370 | 359 | 277 | 294 | 75% | 53 | 2,030 | 14% | 40 | 901 | 11% |
Worth | 3 | 38 | 3 | 39 | 100% | 0 | 0 | 0% | 0 | 0 | 0% |
Wright | 10 | 73 | 8 | 59 | 80% | 2 | 5,656 | 20% | 0 | 0 | 0% |
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.