DRUG SCIENCE

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North Carolina 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.
Alamance 461 324 274 245 59% 187 702 41% 0 0 0%
Alexander 44 119 39 115 89% 4 181 9% 1 208 2%
Alleghany 4 226 4 233 100% 0 0 0% 0 0 0%
Anson 56 226 10 81 18% 42 351 75% 4 1,125 7%
Ashe 3 12 3 12 100% 0 0 0% 0 0 0%
Avery 6 34 5 30 83% 1 108 17% 0 0 0%
Beaufort 106 228 64 193 60% 42 330 40% 0 0 0%
Bertie 17 88 3 41 18% 14 121 82% 0 0 0%
Bladen 45 162 22 130 49% 22 221 49% 1 144 2%
Brunswick 41 43 36 44 88% 5 43 12% 0 0 0%
Buncombe 828 941 565 712 68% 259 4,059 31% 4 329 0%
Burke 174 196 136 174 78% 38 640 22% 0 0 0%
Cabarrus 513 301 351 250 68% 162 647 32% 0 0 0%
Caldwell 96 119 77 103 80% 19 448 20% 0 0 0%
Camden 4 41 2 25 50% 2 129 50% 0 0 0%
Carteret 102 157 90 154 88% 12 253 12% 0 0 0%
Caswell 3 14 0 0 0% 3 41 100% 0 0 0%
Catawba 154 98 107 78 69% 47 350 31% 0 0 0%
Chatham 38 61 27 52 71% 10 117 26% 1 72 3%
Cherokee 3 91 3 96 100% 0 0 0% 0 0 0%
Chowan 23 154 4 43 17% 19 356 83% 0 0 0%
Clay 14 136 14 139 100% 0 0 0% 0 0 0%
Cleveland 57 57 27 35 47% 30 145 53% 0 0 0%
Columbus 49 94 13 38 27% 35 222 71% 1 53 2%
Craven 159 165 62 89 39% 97 421 61% 0 0 0%
Cumberland 376 125 86 51 23% 281 252 75% 9 81 2%
Currituck 196 785 171 757 87% 25 1,331 13% 0 0 0%
Dare 397 1,137 370 1,118 93% 26 2,292 7% 1 342 0%
Davidson 661 424 462 336 70% 197 1,344 30% 2 88 0%
Davie 64 159 50 136 78% 14 506 22% 0 0 0%
Duplin 22 42 9 24 41% 12 86 55% 1 302 5%
Durham 250 100 69 49 28% 181 194 72% 0 0 0%
Edgecombe 339 928 93 606 27% 246 1,188 73% 0 0 0%
Forsyth 906 268 383 160 42% 521 593 58% 2 32 0%
Franklin 28 49 10 24 36% 18 116 64% 0 0 0%
Gaston 716 371 409 256 57% 307 1,066 43% 0 0 0%
Gates 2 17 1 13 50% 1 24 50% 0 0 0%
Granville 126 225 20 56 16% 106 565 84% 0 0 0%
Greene 15 73 6 50 40% 9 107 60% 0 0 0%
Guilford 2,581 556 969 328 38% 1,584 1,091 61% 28 162 1%
Halifax 300 544 107 467 36% 188 637 63% 5 220 2%
Harnett 250 228 109 134 44% 135 554 54% 6 293 2%
Haywood 80 139 75 135 94% 3 349 4% 2 434 3%
Henderson 415 409 348 362 84% 67 2,037 16% 0 0 0%
Hertford 36 150 10 115 28% 26 178 72% 0 0 0%
Hoke 38 86 3 13 8% 25 165 66% 10 211 26%
Iredell 933 618 570 445 61% 357 1,910 38% 6 217 1%
Jackson 54 149 48 156 89% 3 349 6% 3 73 6%
Johnston 307 195 171 132 56% 135 545 44% 1 57 0%
Jones 7 68 3 45 43% 3 87 43% 1 1,555 14%
Lee 191 332 91 203 48% 100 870 52% 0 0 0%
Lenoir 157 274 57 172 36% 99 425 63% 1 256 1%
Lincoln 37 50 36 53 97% 1 21 3% 0 0 0%
Macon 35 106 34 106 97% 1 192 3% 0 0 0%
Madison 11 57 11 59 100% 0 0 0% 0 0 0%
Martin 6 84 1 26 17% 4 127 67% 1 2,024 17%
McDowell 57 129 51 124 89% 6 337 11% 0 0 0%
Mecklenburg 1,943 236 559 105 29% 1,368 564 70% 16 44 1%
Montgomery 26 93 14 65 54% 12 218 46% 0 0 0%
Moore 266 317 141 203 53% 120 987 45% 5 399 2%
Nash 441 396 130 192 29% 310 753 70% 1 70 0%
New Hanover 655 353 462 305 71% 191 652 29% 2 71 0%
Northampton 10 55 2 27 20% 7 67 70% 1 932 10%
Onslow 346 228 191 164 55% 153 576 44% 2 49 1%
Orange 199 162 124 128 62% 74 449 37% 1 13 1%
Pasquotank 144 354 50 209 35% 94 601 65% 0 0 0%
Pender 37 74 30 77 81% 7 72 19% 0 0 0%
Perquimans 4 32 1 11 25% 3 96 75% 0 0 0%
Person 56 147 29 108 52% 26 246 46% 1 318 2%
Pitt 127 85 39 41 31% 88 177 69% 0 0 0%
Polk 16 84 13 73 81% 3 288 19% 0 0 0%
Randolph 140 333 93 241 66% 47 1,916 34% 0 0 0%
Richmond 79 168 30 98 38% 47 323 59% 2 159 3%
Robeson 251 196 51 111 20% 81 263 32% 119 240 47%
Rockingham 170 183 94 127 55% 75 420 44% 1 139 1%
Rowan 258 202 135 129 52% 121 606 47% 2 127 1%
Rutherford 101 156 62 110 61% 39 552 39% 0 0 0%
Sampson 146 235 70 166 48% 72 406 49% 4 277 3%
Scotland 64 174 16 87 25% 33 237 52% 15 392 23%
Stanly 75 130 40 81 53% 35 520 47% 0 0 0%
Stokes 141 297 122 273 87% 18 794 13% 1 382 1%
Surry 251 340 213 306 85% 38 1,275 15% 0 0 0%
Swain 23 426 16 428 70% 1 1,282 4% 6 415 26%
Transylvania 77 256 73 260 95% 4 281 5% 0 0 0%
Tyrrell 11 260 5 210 45% 6 343 55% 0 0 0%
Union 288 626 135 345 47% 153 2,738 53% 0 0 0%
Vance 139 314 20 92 14% 118 538 85% 1 264 1%
Wake 1,528 194 458 80 30% 1,064 660 70% 6 15 0%
Washington 5 127 2 104 40% 3 153 60% 0 0 0%
Watauga 62 144 59 143 95% 3 332 5% 0 0 0%
Wayne 181 161 40 55 22% 141 385 78% 0 0 0%
Wilkes 91 134 78 121 86% 13 459 14% 0 0 0%
Yadkin 69 187 62 176 90% 7 546 10% 0 0 0%
Yancey 122 653 120 657 98% 2 1,058 2% 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.