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West Virginia Construction, Extraction, Maintenance, and Repair Occupations Female Percentage County Rank

Based on ACS 2005-2009 data*

A total of 49 results found. Show Results on Map.

RankConstruction, Extraction, Maintenance, and Repair Occupations Female Percentage ▼County / Population
1.3.5%Doddridge, WV / 7,238
2.2.9%Mason, WV / 25,536
3.2.1%Jackson, WV / 28,140
4.2.1%Greenbrier, WV / 34,610
5.2.0%Tyler, WV / 8,970
6.1.9%Grant, WV / 11,789
7.1.9%Tucker, WV / 6,861
8.1.7%Morgan, WV / 16,303
9.1.7%Taylor, WV / 16,188
10.1.7%Wetzel, WV / 16,507
11.1.5%Hardy, WV / 13,488
12.1.5%Berkeley, WV / 99,058
12.1.5%Hampshire, WV / 22,400
14.1.5%Ritchie, WV / 10,306
15.1.2%Logan, WV / 35,553
16.1.2%Gilmer, WV / 6,889
17.1.1%Wyoming, WV / 23,651
18.1.1%Preston, WV / 30,178
19.1.0%Randolph, WV / 28,377
19.1.0%Fayette, WV / 46,240
21.1.0%Upshur, WV / 23,566
22.0.9%Barbour, WV / 15,522
23.0.9%Braxton, WV / 14,554
24.0.8%Brooke, WV / 23,801
25.0.7%Calhoun, WV / 7,209
26.0.7%Wayne, WV / 41,496
27.0.7%Boone, WV / 25,000
28.0.7%Pendleton, WV / 7,577
29.0.6%Summers, WV / 13,217
29.0.6%Monroe, WV / 13,606
31.0.6%Putnam, WV / 54,881
32.0.6%Lincoln, WV / 22,211
33.0.6%Jefferson, WV / 50,791
33.0.6%Monongalia, WV / 87,864
35.0.6%Mercer, WV / 61,451
35.0.6%Kanawha, WV / 191,624
37.0.5%Marion, WV / 56,568
38.0.5%Raleigh, WV / 78,686
39.0.5%Mingo, WV / 26,562
40.0.5%Harrison, WV / 68,363
41.0.5%Mineral, WV / 26,960
42.0.4%Ohio, WV / 44,365
43.0.4%Wood, WV / 86,557
44.0.4%Nicholas, WV / 26,084
45.0.3%Roane, WV / 15,123
46.0.3%Cabell, WV / 94,552
47.0.2%Hancock, WV / 30,215
48.0.2%Marshall, WV / 33,205
49.0.1%Lewis, WV / 17,215

Please note that we only rank locations with 'Construction, Extraction, Maintenance, and Repair Occupations Female Percentage' data. The rank above might not be a complete list. Locations without 'Construction, Extraction, Maintenance, and Repair 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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