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West Virginia Population in Poverty Percentage County Rank

Based on ACS 2008-2012 data*

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

RankPopulation in Poverty Percentage ▼County / Population
1.33.5%Mcdowell, WV / 21,966
2.27.4%Gilmer, WV / 8,623
3.26.9%Lincoln, WV / 21,714
4.26.3%Clay, WV / 9,432
5.25.8%Webster, WV / 9,158
6.25.0%Roane, WV / 14,884
7.22.9%Mingo, WV / 26,660
8.22.6%Monongalia, WV / 96,417
9.22.4%Calhoun, WV / 7,613
10.22.3%Lewis, WV / 16,389
11.21.3%Doddridge, WV / 8,147
12.21.3%Summers, WV / 13,813
13.21.3%Cabell, WV / 96,240
14.20.8%Logan, WV / 36,508
15.20.5%Mercer, WV / 62,251
16.20.3%Ritchie, WV / 10,391
17.20.3%Boone, WV / 24,617
18.20.2%Braxton, WV / 14,531
19.19.8%Fayette, WV / 46,000
20.19.4%Greenbrier, WV / 35,572
21.19.2%Nicholas, WV / 26,201
22.19.1%Wayne, WV / 42,273
23.19.1%Wyoming, WV / 23,668
24.18.6%Pocahontas, WV / 8,750
25.18.6%Harrison, WV / 68,959
26.18.2%Hampshire, WV / 23,791
27.18.2%Tyler, WV / 9,188
28.17.8%Taylor, WV / 16,889
29.17.8%Jackson, WV / 29,206
30.17.5%Raleigh, WV / 78,852
31.17.5%Tucker, WV / 7,109
32.17.5%Wetzel, WV / 16,526
33.17.4%Marion, WV / 56,460
34.17.4%Hancock, WV / 30,594
35.17.3%Mason, WV / 27,242
36.17.1%Barbour, WV / 16,472
37.17.0%Upshur, WV / 24,210
38.16.4%Marshall, WV / 32,993
39.16.1%Randolph, WV / 29,361
40.16.0%Wood, WV / 86,835
41.15.7%Wirt, WV / 5,769
42.15.7%Hardy, WV / 13,912
43.15.6%Pleasants, WV / 7,630
44.15.5%Mineral, WV / 28,049
45.15.4%Ohio, WV / 44,307
46.15.2%Pendleton, WV / 7,666
47.14.9%Morgan, WV / 17,507
48.14.2%Kanawha, WV / 192,572
49.14.0%Grant, WV / 11,929
50.13.3%Monroe, WV / 13,528
51.12.9%Preston, WV / 33,471
52.12.7%Brooke, WV / 24,021
53.12.7%Berkeley, WV / 104,410
54.11.1%Jefferson, WV / 53,545
55.10.1%Putnam, WV / 55,660

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