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West Virginia Unemployed Male Civilian Population Percentage County Rank

Based on ACS 2005-2009 data*

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

RankUnemployed Male Civilian Population Percentage ▼County / Population
1.9.2%Wirt, WV / 5,696
2.7.9%Mason, WV / 25,536
3.7.7%Tyler, WV / 8,970
4.6.7%Pleasants, WV / 7,459
5.6.5%Webster, WV / 9,510
6.6.3%Lewis, WV / 17,215
7.5.9%Hancock, WV / 30,215
8.5.8%Clay, WV / 10,061
9.5.8%Monroe, WV / 13,606
10.5.6%Wetzel, WV / 16,507
11.5.6%Lincoln, WV / 22,211
12.5.6%Wood, WV / 86,557
13.5.5%Berkeley, WV / 99,058
14.5.4%Marshall, WV / 33,205
15.5.2%Kanawha, WV / 191,624
15.5.2%Logan, WV / 35,553
17.5.1%Taylor, WV / 16,188
18.4.9%Brooke, WV / 23,801
19.4.8%Jackson, WV / 28,140
19.4.8%Ohio, WV / 44,365
19.4.8%Cabell, WV / 94,552
22.4.8%Harrison, WV / 68,363
23.4.5%Barbour, WV / 15,522
24.4.5%Roane, WV / 15,123
25.4.5%Greenbrier, WV / 34,610
26.4.3%Ritchie, WV / 10,306
27.4.2%Wayne, WV / 41,496
28.4.2%Boone, WV / 25,000
28.4.2%Randolph, WV / 28,377
30.4.1%Marion, WV / 56,568
31.4.1%Fayette, WV / 46,240
32.4.0%Raleigh, WV / 78,686
33.4.0%Hardy, WV / 13,488
34.3.9%Braxton, WV / 14,554
34.3.9%Morgan, WV / 16,303
36.3.9%Mineral, WV / 26,960
37.3.7%Tucker, WV / 6,861
38.3.7%Pocahontas, WV / 8,599
39.3.6%Nicholas, WV / 26,084
40.3.5%Jefferson, WV / 50,791
41.3.5%Monongalia, WV / 87,864
42.3.5%Mingo, WV / 26,562
43.3.5%Upshur, WV / 23,566
44.3.4%Preston, WV / 30,178
45.3.3%Putnam, WV / 54,881
46.3.3%Mercer, WV / 61,451
47.3.3%Mcdowell, WV / 22,971
48.3.3%Doddridge, WV / 7,238
49.3.2%Hampshire, WV / 22,400
50.2.7%Calhoun, WV / 7,209
51.2.6%Wyoming, WV / 23,651
52.2.5%Gilmer, WV / 6,889
53.2.2%Summers, WV / 13,217
54.2.1%Grant, WV / 11,789
55.1.2%Pendleton, WV / 7,577

Please note that we only rank locations with 'Unemployed Male Civilian Population Percentage' data. The rank above might not be a complete list. Locations without 'Unemployed Male Civilian Population 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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