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South Dakota Farming, Fishing, and Forestry Occupations Female Percentage County Rank

Based on ACS 2005-2009 data*

A total of 55 results found. Show Results on Map.

RankFarming, Fishing, and Forestry Occupations Female Percentage ▼County / Population
1.8.4%Harding, SD / 1,205
2.7.5%Haakon, SD / 1,841
3.5.1%Buffalo, SD / 2,091
4.4.5%Clark, SD / 3,526
5.4.4%Lyman, SD / 3,855
6.3.4%Grant, SD / 7,165
7.3.2%Deuel, SD / 4,238
8.3.2%Gregory, SD / 4,083
9.2.8%Ziebach, SD / 2,574
10.2.8%Mcpherson, SD / 2,515
11.2.6%Hand, SD / 3,268
12.2.5%Sanborn, SD / 2,458
13.2.4%Douglas, SD / 3,050
14.2.4%Hutchinson, SD / 7,289
15.2.4%Corson, SD / 4,146
16.2.3%Stanley, SD / 2,775
17.2.3%Sully, SD / 1,363
18.2.3%Charles Mix, SD / 8,999
19.2.2%Brule, SD / 5,169
20.2.0%Potter, SD / 2,149
21.1.4%Brookings, SD / 29,437
22.1.2%Mccook, SD / 5,697
23.1.2%Kingsbury, SD / 5,345
24.1.2%Butte, SD / 9,418
25.1.2%Campbell, SD / 1,450
26.1.1%Day, SD / 5,637
27.1.0%Union, SD / 13,947
28.0.9%Tripp, SD / 5,761
29.0.9%Bennett, SD / 3,408
30.0.9%Clay, SD / 13,431
31.0.9%Jerauld, SD / 1,994
32.0.8%Lawrence, SD / 23,159
33.0.8%Edmunds, SD / 3,981
34.0.8%Aurora, SD / 2,878
35.0.6%Bon Homme, SD / 7,023
36.0.6%Faulk, SD / 2,276
37.0.6%Codington, SD / 26,129
38.0.6%Davison, SD / 18,932
39.0.5%Perkins, SD / 2,877
40.0.5%Moody, SD / 6,460
41.0.4%Hyde, SD / 1,481
42.0.4%Custer, SD / 7,865
43.0.4%Jones, SD / 1,033
44.0.3%Turner, SD / 8,331
45.0.3%Brown, SD / 35,016
46.0.3%Hughes, SD / 16,856
46.0.3%Walworth, SD / 5,312
48.0.2%Lincoln, SD / 37,607
48.0.2%Roberts, SD / 9,932
48.0.2%Lake, SD / 11,500
51.0.2%Spink, SD / 6,673
52.0.2%Beadle, SD / 15,845
53.0.2%Meade, SD / 24,126
54.0.1%Minnehaha, SD / 175,749
55.0.0%Pennington, SD / 96,903

Please note that we only rank locations with 'Farming, Fishing, and Forestry Occupations Female Percentage' data. The rank above might not be a complete list. Locations without 'Farming, Fishing, and Forestry Occupations Female Percentage' data are not listed.

*ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.


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