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West Virginia Population in Poverty Percentage County Rank

Based on ACS 2006-2010 data*

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

RankPopulation in Poverty Percentage ▼County / Population
1.32.6%Mcdowell, WV / 22,555
2.30.3%Gilmer, WV / 8,394
3.27.6%Roane, WV / 15,116
4.26.6%Lincoln, WV / 21,879
5.25.1%Doddridge, WV / 8,035
6.23.7%Clay, WV / 9,572
7.22.9%Webster, WV / 9,247
8.22.8%Mercer, WV / 61,844
9.21.8%Logan, WV / 36,564
10.21.6%Summers, WV / 13,847
11.21.6%Mingo, WV / 26,956
12.21.3%Fayette, WV / 46,138
13.21.1%Monongalia, WV / 92,715
14.21.0%Braxton, WV / 14,558
15.20.6%Cabell, WV / 95,526
16.20.6%Calhoun, WV / 7,588
17.20.2%Wayne, WV / 42,647
18.19.6%Lewis, WV / 16,406
19.19.4%Greenbrier, WV / 35,373
20.19.3%Upshur, WV / 23,984
21.19.3%Boone, WV / 24,872
22.19.2%Wirt, WV / 5,753
23.18.9%Mason, WV / 27,016
24.18.9%Harrison, WV / 68,490
25.18.9%Ritchie, WV / 10,514
26.18.7%Nicholas, WV / 26,189
27.18.4%Barbour, WV / 16,256
28.18.1%Tyler, WV / 9,339
29.18.1%Jackson, WV / 29,084
30.18.0%Marshall, WV / 33,369
31.17.7%Tucker, WV / 7,137
32.17.6%Wetzel, WV / 16,697
33.17.5%Raleigh, WV / 78,513
34.17.3%Wyoming, WV / 23,993
35.17.1%Randolph, WV / 29,233
36.16.8%Marion, WV / 56,356
37.16.4%Wood, WV / 86,731
38.16.4%Hampshire, WV / 23,594
39.16.1%Mineral, WV / 27,796
40.15.9%Ohio, WV / 44,582
41.15.8%Morgan, WV / 17,409
42.15.8%Taylor, WV / 16,732
43.15.3%Pocahontas, WV / 8,808
44.15.1%Pendleton, WV / 7,773
45.14.9%Hardy, WV / 13,832
46.14.8%Hancock, WV / 30,866
47.13.9%Preston, WV / 32,976
48.13.7%Kanawha, WV / 192,770
49.13.7%Pleasants, WV / 7,664
50.13.3%Monroe, WV / 13,495
51.12.9%Grant, WV / 11,942
52.11.0%Brooke, WV / 24,194
53.10.4%Putnam, WV / 54,940
54.10.1%Berkeley, WV / 100,910
55.8.4%Jefferson, WV / 52,033

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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