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Georgia Marijuana Possession Arrest Rates by County and Age Groups Under 30, Part 2 J-W (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.
Jackson 0 0 0% 26 794 20% 28 893 22% 24 470 19%
Jasper 0 0 0% 5 659 12% 15 2,291 35% 12 1,286 28%
Jeff Davis 0 0 0% 13 1,436 28% 10 1,347 21% 5 487 11%
Jefferson 0 0 0% 3 309 11% 11 1,362 41% 6 596 22%
Jenkins 0 0 0% 0 0 0% 0 0 0% 1 452 100%
Johnson 0 0 0% 0 0 0% 3 612 100% 0 0 0%
Jones 6 327 5% 38 1,976 29% 32 1,944 24% 19 914 15%
Lamar 0 0 0% 7 795 22% 9 1,390 28% 3 359 9%
Laurens 0 0 0% 42 1,295 23% 70 2,444 38% 26 687 14%
Lee 0 0 0% 13 484 32% 12 454 29% 9 337 22%
Liberty 2 36 1% 67 1,239 30% 82 1,532 37% 31 635 14%
Long 0 0 0% 9 1,139 15% 24 3,483 39% 11 774 18%
Lowndes 11 164 3% 95 1,226 27% 106 1,039 30% 53 633 15%
Lumpkin 0 0 0% 23 953 29% 25 994 32% 9 416 11%
Macon 0 0 0% 5 1,337 13% 11 3,072 28% 7 1,912 18%
Madison 0 0 0% 6 343 21% 6 420 21% 5 244 17%
Marion 0 0 0% 2 433 22% 2 563 22% 0 0 0%
McDuffie 0 0 0% 8 499 12% 19 1,369 29% 11 722 17%
McIntosh 0 0 0% 5 704 24% 1 200 5% 4 597 19%
Meriwether 4 257 13% 14 843 45% 1 79 3% 7 394 23%
Miller 0 0 0% 8 1,864 24% 10 2,463 29% 4 1,125 12%
Mitchell 0 0 0% 3 190 20% 7 397 47% 1 52 7%
Monroe 2 123 1% 46 2,633 23% 53 2,580 27% 29 1,590 15%
Morgan 0 0 0% 0 0 0% 1 445 100% 0 0 0%
Murray 6 190 5% 32 1,172 29% 17 799 15% 14 376 13%
Muscogee 22 157 5% 104 729 25% 125 937 30% 89 715 21%
Newton 2 27 0% 131 1,896 29% 127 2,194 28% 68 818 15%
Oconee 0 0 0% 3 1,370 75% 1 510 25% 0 0 0%
Oglethorpe 0 0 0% 0 0 0% 3 393 75% 0 0 0%
Paulding 10 91 3% 68 786 23% 87 1,196 29% 45 390 15%
Peach 0 0 0% 41 1,932 27% 60 2,090 39% 21 1,036 14%
Pickens 2 106 6% 11 627 31% 7 447 20% 5 179 14%
Pierce 1 429 4% 7 3,212 30% 7 3,035 30% 4 1,352 17%
Pike 0 0 0% 6 512 17% 9 842 26% 5 335 14%
Polk 1 37 1% 15 574 15% 18 779 18% 20 569 20%
Pulaski 0 0 0% 1 274 50% 0 0 0% 0 0 0%
Putnam 0 0 0% 13 1,148 21% 25 2,121 40% 6 426 10%
Quitman 0 0 0% 2 1,221 50% 0 0 0% 1 611 25%
Rabun 0 0 0% 17 2,177 17% 18 2,874 18% 12 1,283 12%
Richmond 7 52 1% 199 1,281 26% 260 1,765 34% 130 959 17%
Rockdale 1 16 0% 77 1,174 21% 125 2,247 35% 54 923 15%
Schley 0 0 0% 2 709 25% 4 1,641 50% 1 252 13%
Screven 0 0 0% 4 1,850 33% 4 2,376 33% 1 597 8%
Seminole 0 0 0% 0 0 0% 4 666 44% 3 481 33%
Spalding 3 66 1% 64 1,445 21% 78 2,262 26% 75 1,494 25%
Stephens 0 0 0% 9 491 24% 11 693 30% 7 386 19%
Stewart 0 0 0% 0 0 0% 0 0 0% 1 579 100%
Sumter 1 44 1% 26 963 36% 22 895 30% 16 707 22%
Taliaferro 0 0 0% 2 2,480 9% 9 11,896 41% 5 4,765 23%
Tattnall 0 0 0% 20 1,821 18% 34 2,308 31% 21 1,210 19%
Taylor 0 0 0% 8 1,381 53% 4 781 27% 3 581 20%
Telfair 0 0 0% 3 1,278 25% 3 754 25% 3 620 25%
Terrell 0 0 0% 2 256 33% 0 0 0% 3 419 50%
Thomas 2 70 1% 47 1,591 25% 58 2,111 31% 35 1,173 19%
Tift 6 195 4% 37 1,055 27% 34 1,103 25% 21 633 16%
Toombs 0 0 0% 11 657 27% 11 759 27% 7 414 17%
Towns 0 0 0% 9 1,251 30% 10 1,777 33% 4 533 13%
Treutlen 0 0 0% 21 3,650 21% 37 7,677 37% 17 2,801 17%
Troup 3 62 2% 64 1,349 32% 57 1,353 29% 31 620 16%
Turner 0 0 0% 5 1,531 22% 8 2,914 35% 4 1,150 17%
Twiggs 0 0 0% 16 2,317 10% 46 7,460 30% 30 3,990 19%
Union 0 0 0% 0 0 0% 0 0 0% 3 5,365 43%
Upson 3 156 7% 12 645 29% 11 652 27% 3 147 7%
Walker 3 69 3% 37 918 43% 18 503 21% 12 219 14%
Walton 0 0 0% 17 354 25% 22 514 32% 15 232 22%
Ware 5 220 2% 76 3,310 35% 53 2,243 24% 28 986 13%
Warren 0 0 0% 1 780 8% 4 3,562 33% 0 0 0%
Washington 0 0 0% 3 228 20% 6 516 40% 0 0 0%
Wheeler 0 0 0% 1 298 14% 1 180 14% 1 174 14%
White 5 304 4% 28 1,677 22% 36 2,580 29% 16 718 13%
Whitfield 5 72 2% 68 1,097 30% 55 1,075 24% 35 518 15%
Wilcox 0 0 0% 0 0 0% 0 0 0% 1 258 100%
Wilkes 1 160 4% 9 1,458 39% 7 1,221 30% 1 174 4%
Wilkinson 0 0 0% 8 1,382 19% 14 2,545 33% 7 1,133 17%
Worth 0 0 0% 15 927 33% 17 1,327 38% 4 297 9%

Georgia Marijuana Possession Arress by County and Age Groups Under 30, Part 1A-I (2007)

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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.