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| Solving a critical shortage in |
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| Food Supply Veterinary Medicine > Data maps > South Dakota
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| South Dakota |
| June 2008 |
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| Total food animals by county |
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| Click on the map to enlarge |
View as PDF |
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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. 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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| Total food animal veterinarians by county |
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| Click on the map to enlarge |
View as PDF |
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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. 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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Food animal concentration per
food animal veterinarian |
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| Click on the map to enlarge |
View as PDF |
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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. 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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| South Dakota by County |
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| County |
Total Food Animals |
Total Food Animal Veterinarians |
Animals per Veterinarian |
Counties with 0 Veterinarians * |
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| Aurora |
83,400 |
0 |
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z |
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| Beadle |
152,013 |
7 |
21,716 |
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| Bennett |
45,977 |
2 |
22,989 |
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| Bon Homme |
78,503 |
2 |
39,252 |
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| Brookings |
105,690 |
6 |
17,615 |
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| Brown |
147,229 |
9 |
16,359 |
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| Brule |
106,406 |
1 |
106,406 |
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| Buffalo |
22,142 |
0 |
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y |
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| Butte |
119,454 |
4 |
29,864 |
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| Campbell |
40,351 |
0 |
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z |
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| Charles Mix |
164,594 |
3 |
54,865 |
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| Clark |
128,153 |
4 |
32,038 |
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| Clay |
38,669 |
0 |
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z |
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| Codington |
78,504 |
5 |
15,701 |
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| Corson |
77,712 |
0 |
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z |
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| Custer |
28,903 |
1 |
28,903 |
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| Davison |
69,489 |
7 |
9,927 |
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| Day |
47,237 |
5 |
9,447 |
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| Deuel |
69,922 |
3 |
23,307 |
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| Dewey |
70,981 |
0 |
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z |
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| Douglas |
126,107 |
1 |
126,107 |
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| Edmunds |
120,017 |
4 |
30,004 |
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| Fall River |
62,360 |
3 |
20,787 |
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| Faulk |
95,423 |
1 |
95,423 |
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| Grant |
60,267 |
2 |
30,134 |
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| Gregory |
93,773 |
1 |
93,773 |
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| Haakon |
72,488 |
2 |
36,244 |
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| Hamlin |
55,548 |
0 |
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z |
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| Hand |
110,785 |
4 |
27,696 |
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| Hanson |
88,749 |
0 |
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z |
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| Harding |
102,417 |
2 |
51,209 |
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| Hughes |
30,631 |
2 |
15,316 |
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| Hutchinson |
177,172 |
4 |
44,293 |
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| Hyde |
51,341 |
2 |
25,671 |
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| Jackson |
56,930 |
3 |
18,977 |
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| Jerauld |
50,340 |
2 |
25,170 |
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| Jones |
40,002 |
1 |
40,002 |
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| Kingsbury |
92,611 |
2 |
46,306 |
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| Lake |
80,348 |
5 |
16,070 |
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| Lawrence |
13,801 |
2 |
6,901 |
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| Lincoln |
68,593 |
5 |
13,719 |
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| Lyman |
65,438 |
0 |
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z |
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| Marshall |
102,595 |
0 |
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z |
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| McCook |
90,264 |
7 |
12,895 |
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| McPherson |
120,231 |
2 |
60,116 |
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| Meade |
135,367 |
7 |
19,338 |
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| Mellette |
46,710 |
0 |
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z |
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| Miner |
64,814 |
0 |
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z |
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| Minnehaha |
127,407 |
6 |
21,235 |
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| Moody |
73,343 |
1 |
73,343 |
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| Pennington |
60,140 |
11 |
5,467 |
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| Perkins |
109,670 |
1 |
109,670 |
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| Potter |
40,593 |
0 |
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z |
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| Roberts |
80,841 |
3 |
26,947 |
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| Sanborn |
59,380 |
2 |
29,690 |
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| Shannon |
35,025 |
0 |
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z |
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| Spink |
119,548 |
1 |
119,548 |
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| Stanley |
24,225 |
2 |
12,113 |
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| Sully |
26,318 |
0 |
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z |
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| Todd |
64,529 |
0 |
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z |
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| Tripp |
181,171 |
6 |
30,195 |
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| Turner |
115,740 |
4 |
28,935 |
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| Union |
58,352 |
1 |
58,352 |
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| Walworth |
48,020 |
3 |
16,007 |
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| Yankton |
79,830 |
5 |
15,966 |
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| Ziebach |
46,128 |
0 |
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z |
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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