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West Virginia Family in Poverty Percentage County Rank

Based on ACS 2005-2009 data*

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

RankFamily in Poverty Percentage ▼County / Population
1.31.1%Mcdowell, WV / 22,971
2.28.6%Gilmer, WV / 6,889
3.23.2%Lincoln, WV / 22,211
4.22.7%Clay, WV / 10,061
5.21.5%Roane, WV / 15,123
6.20.3%Webster, WV / 9,510
7.18.9%Logan, WV / 35,553
8.18.7%Mingo, WV / 26,562
9.17.4%Summers, WV / 13,217
10.17.4%Braxton, WV / 14,554
11.17.4%Barbour, WV / 15,522
12.16.8%Mercer, WV / 61,451
13.16.6%Wyoming, WV / 23,651
14.16.2%Wayne, WV / 41,496
15.15.8%Fayette, WV / 46,240
16.15.5%Boone, WV / 25,000
17.15.5%Mason, WV / 25,536
18.15.3%Doddridge, WV / 7,238
19.15.3%Wirt, WV / 5,696
20.15.2%Harrison, WV / 68,363
21.14.9%Tyler, WV / 8,970
22.14.6%Upshur, WV / 23,566
23.14.4%Cabell, WV / 94,552
24.14.0%Marshall, WV / 33,205
25.13.9%Nicholas, WV / 26,084
26.13.9%Lewis, WV / 17,215
27.13.8%Wood, WV / 86,557
28.13.7%Raleigh, WV / 78,686
29.13.6%Calhoun, WV / 7,209
30.13.6%Greenbrier, WV / 34,610
31.13.4%Morgan, WV / 16,303
32.13.3%Wetzel, WV / 16,507
33.13.3%Tucker, WV / 6,861
34.13.1%Jackson, WV / 28,140
35.13.0%Randolph, WV / 28,377
36.12.3%Ritchie, WV / 10,306
37.12.1%Hampshire, WV / 22,400
38.11.5%Ohio, WV / 44,365
39.11.4%Pocahontas, WV / 8,599
40.11.4%Grant, WV / 11,789
41.11.4%Marion, WV / 56,568
42.11.1%Mineral, WV / 26,960
43.11.0%Preston, WV / 30,178
44.10.7%Kanawha, WV / 191,624
45.10.6%Hancock, WV / 30,215
46.10.5%Hardy, WV / 13,488
47.10.1%Taylor, WV / 16,188
48.9.7%Monongalia, WV / 87,864
49.9.5%Pendleton, WV / 7,577
50.9.4%Monroe, WV / 13,606
51.9.2%Putnam, WV / 54,881
52.8.0%Pleasants, WV / 7,459
53.7.4%Brooke, WV / 23,801
54.6.9%Berkeley, WV / 99,058
55.4.4%Jefferson, WV / 50,791

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