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| Georgia |
| Food Animal Concentration per Food Animal Veterinarian |
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Copyright © and (P) 1988–2006 Microsoft Corporation and/or its suppliers. All rights reserved. http://www.microsoft.com/mappoint/ Portions © 1990–2005 InstallShield Software Corporation. All rights reserved. Certain mapping and direction data © 2005 NAVTEQ. All rights reserved. The Data for areas of Canada includes information taken with permission from Canadian authorities, including: © Her Majesty the Queen in Right of Canada, © Queen's Printer for Ontario. NAVTEQ and NAVTEQ ON BOARD are trademarks of NAVTEQ. © 2005 Tele Atlas North America, Inc. All rights reserved. Tele Atlas and Tele Atlas North America are trademarks of Tele Atlas, Inc. |
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| Georgia by County |
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| County |
Total Food Animals * |
Total Food Animal Veterinarians ** |
Animals per Veterinarian |
Counties with 0 Veterinarians *** |
|
|
| Appling |
10,873 |
2 |
5,437 |
|
|
| Atkinson |
8,774 |
0 |
|
y |
|
| Bacon |
7,999 |
0 |
|
y |
|
| Baker |
3,384 |
0 |
|
x |
|
| Baldwin |
2,941 |
0 |
|
x |
|
| Banks |
15,164 |
1 |
15,164 |
|
|
| Barrow |
7,301 |
0 |
|
y |
|
| Bartow |
16,925 |
3 |
5,642 |
|
|
| Ben Hill |
4,669 |
1 |
4,669 |
|
|
| Berrien |
17,508 |
0 |
|
y |
|
| Bibb |
2,263 |
2 |
1,132 |
|
|
| Bleckley |
5,619 |
0 |
|
y |
|
| Brantley |
2,575 |
0 |
|
x |
|
| Brooks |
17,435 |
0 |
|
y |
|
| Bryan |
729 |
0 |
|
x |
|
| Bulloch |
11,083 |
2 |
5,542 |
|
|
| Burke |
21,710 |
0 |
|
y |
|
| Butts |
2,906 |
2 |
1,453 |
|
|
| Calhoun |
3,547 |
0 |
|
x |
|
| Camden |
585 |
0 |
|
x |
|
| Candler |
23,156 |
0 |
|
y |
|
| Carroll |
25,434 |
2 |
12,717 |
|
|
| Catoosa |
4,210 |
1 |
4,210 |
|
|
| Charlton |
1,516 |
0 |
|
x |
|
| Chatham |
611 |
3 |
204 |
|
|
| Chattahoochee |
43 |
0 |
|
x |
|
| Chattooga |
11,252 |
2 |
5,626 |
|
|
| Cherokee |
4,991 |
1 |
4,991 |
|
|
| Clarke |
1,757 |
4 |
439 |
|
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| Clay |
2,318 |
0 |
|
x |
|
| Clayton |
56 |
1 |
56 |
|
|
| Clinch |
467 |
0 |
|
x |
|
| Cobb |
719 |
1 |
719 |
|
|
| Coffee |
16,063 |
0 |
|
y |
|
| Colquitt |
19,989 |
0 |
|
y |
|
| Columbia |
2,903 |
0 |
|
x |
|
| Cook |
5,033 |
1 |
5,033 |
|
|
| Coweta |
12,561 |
1 |
12,561 |
|
|
| Crawford |
2,055 |
0 |
|
x |
|
| Crisp |
5,661 |
0 |
|
y |
|
| Dade |
3,981 |
1 |
3,981 |
|
|
| Dawson |
3,080 |
0 |
|
x |
|
| Decatur |
14,093 |
3 |
4,698 |
|
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| DeKalb |
40 |
1 |
40 |
|
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| Dodge |
7,932 |
1 |
7,932 |
|
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| Dooly |
4,482 |
1 |
4,482 |
|
|
| Dougherty |
2,575 |
1 |
2,575 |
|
|
| Douglas |
901 |
1 |
901 |
|
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| Early |
16,805 |
0 |
|
y |
|
| Echols |
2,071 |
0 |
|
x |
|
| Effingham |
3,639 |
0 |
|
x |
|
| Elbert |
12,549 |
0 |
|
y |
|
| Emanuel |
9,721 |
0 |
|
y |
|
| Evans |
4,552 |
0 |
|
x |
|
| Fannin |
3,492 |
1 |
3,492 |
|
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| Fayette |
1,492 |
0 |
|
x |
|
| Floyd |
10,578 |
3 |
3,526 |
|
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| Forsyth |
5,230 |
3 |
1,743 |
|
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| Franklin |
27,348 |
3 |
9,116 |
|
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| Fulton |
1,705 |
3 |
568 |
|
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| Gilmer |
7,217 |
1 |
7,217 |
|
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| Glascock |
3,816 |
0 |
|
x |
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| Glynn |
554 |
0 |
|
x |
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| Gordon |
18,991 |
1 |
18,991 |
|
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| Grady |
11,689 |
1 |
11,689 |
|
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| Greene |
11,170 |
5 |
2,234 |
|
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| Gwinnett |
1,390 |
4 |
348 |
|
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| Habersham |
8,712 |
3 |
2,904 |
|
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| Hall |
17,450 |
4 |
4,363 |
|
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| Hancock |
3,174 |
0 |
|
x |
|
| Haralson |
5,357 |
0 |
|
y |
|
| Harris |
2,945 |
5 |
589 |
|
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| Hart |
30,649 |
1 |
30,649 |
|
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| Heard |
4,909 |
0 |
|
x |
|
| Henry |
4,650 |
4 |
1,163 |
|
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| Houston |
5,248 |
3 |
1,749 |
|
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| Irwin |
8,284 |
0 |
|
y |
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| Jackson |
23,105 |
2 |
11,553 |
|
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| Jasper |
8,125 |
0 |
|
y |
|
| Jeff Davis |
3,922 |
0 |
|
x |
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| Jefferson |
10,064 |
1 |
10,064 |
|
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| Jenkins |
5,525 |
0 |
|
y |
|
| Johnson |
4,598 |
1 |
4,598 |
|
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| Jones |
5,431 |
1 |
5,431 |
|
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| Lamar |
5,542 |
1 |
5,542 |
|
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| Lanier |
2,492 |
0 |
|
x |
|
| Laurens |
10,612 |
0 |
|
y |
|
| Lee |
9,685 |
0 |
|
y |
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| Liberty |
663 |
1 |
663 |
|
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| Lincoln |
3,744 |
1 |
3,744 |
|
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| Long |
1,966 |
0 |
|
x |
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| Lowndes |
6,419 |
0 |
|
y |
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| Lumpkin |
3,864 |
0 |
|
x |
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| Macon |
16,141 |
2 |
8,071 |
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| Madison |
20,676 |
3 |
6,892 |
|
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| Marion |
5,176 |
0 |
|
y |
|
| McDuffie |
6,215 |
1 |
6,215 |
|
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| McIntosh |
306 |
0 |
|
x |
|
| Meriwether |
9,630 |
0 |
|
y |
|
| Miller |
14,533 |
0 |
|
y |
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| Mitchell |
19,863 |
1 |
19,863 |
|
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| Monroe |
6,201 |
1 |
6,201 |
|
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| Montgomery |
2,183 |
0 |
|
x |
|
| Morgan |
23,146 |
5 |
4,629 |
|
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| Murray |
6,536 |
1 |
6,536 |
|
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| Muscogee |
197 |
0 |
|
x |
|
| Newton |
6,673 |
2 |
3,337 |
|
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| Oconee |
8,732 |
2 |
4,366 |
|
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| Oglethorpe |
60,937 |
3 |
20,312 |
|
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| Paulding |
1,799 |
1 |
1,799 |
|
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| Peach |
2,549 |
0 |
|
x |
|
| Pickens |
3,885 |
0 |
|
x |
|
| Pierce |
5,888 |
0 |
|
y |
|
| Pike |
5,740 |
0 |
|
y |
|
| Polk |
10,705 |
2 |
5,353 |
|
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| Pulaski |
767 |
1 |
767 |
|
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| Putnam |
12,692 |
3 |
4,231 |
|
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| Quitman |
1,494 |
0 |
|
x |
|
| Rabun |
1,720 |
1 |
1,720 |
|
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| Randolph |
5,015 |
0 |
|
y |
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| Richmond |
1,657 |
1 |
1,657 |
|
|
| Rockdale |
673 |
1 |
673 |
|
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| Schley |
1,199 |
0 |
|
x |
|
| Screven |
10,004 |
1 |
10,004 |
|
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| Seminole |
16,835 |
1 |
16,835 |
|
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| Spalding |
4,165 |
4 |
1,041 |
|
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| Stephens |
4,318 |
1 |
4,318 |
|
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| Stewart |
1,113 |
0 |
|
x |
|
| Sumter |
11,447 |
2 |
5,724 |
|
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| Talbot |
2,008 |
1 |
2,008 |
|
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| Taliaferro |
2,628 |
1 |
2,628 |
|
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| Tattnall |
14,869 |
0 |
|
y |
|
| Taylor |
4,060 |
1 |
4,060 |
|
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| Telfair |
5,011 |
0 |
|
y |
|
| Terrell |
3,985 |
0 |
|
x |
|
| Thomas |
17,892 |
3 |
5,964 |
|
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| Tift |
8,707 |
2 |
4,354 |
|
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| Toombs |
8,974 |
1 |
8,974 |
|
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| Towns |
2,048 |
0 |
|
x |
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| Treutlen |
760 |
0 |
|
x |
|
| Troup |
6,200 |
1 |
6,200 |
|
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| Turner |
12,258 |
3 |
4,086 |
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| Twiggs |
2,480 |
1 |
2,480 |
|
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| Union |
4,028 |
1 |
4,028 |
|
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| Upson |
7,140 |
0 |
|
y |
|
| Walker |
12,878 |
2 |
6,439 |
|
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| Walton |
11,008 |
4 |
2,752 |
|
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| Ware |
4,854 |
1 |
4,854 |
|
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| Warren |
5,387 |
0 |
|
y |
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| Washington |
8,207 |
1 |
8,207 |
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| Wayne |
5,475 |
0 |
|
y |
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| Webster |
3,487 |
0 |
|
x |
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| Wheeler |
1,912 |
0 |
|
x |
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| White |
8,860 |
1 |
8,860 |
|
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| Whitfield |
10,049 |
0 |
|
y |
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| Wilcox |
6,635 |
0 |
|
y |
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| Wilkes |
15,593 |
2 |
7,797 |
|
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| Wilkinson |
2,233 |
0 |
|
x |
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| Worth |
16,805 |
0 |
|
y |
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| * United States Department of Agriculture – National Agriculture Statistics Service. |
Based on the 2007 Census of Agriculture
Click here for more detailed information |
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| ** American Veterinary Medical Association |
Based on AVMA database as of December 31, 2008.
Click here for more detailed information |
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| *** Key: |
x: Counties with 0 veterinarians where there are fewer than 5,000 food animals
y: Counties with 0 veterinarians where there are between 5,000 and 25,000 food animals
z: Counties with 0 veterinarians where there are more than 25,000 food animals |
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American Veterinary Medical Association
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= AVMA/SAVMA Members Only