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West Virginia Other Vacant Housing Units Percentage County Rank

Based on ACS 2006-2010 data*

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

RankOther Vacant Housing Units Percentage ▼County / Population
1.19.4%Mcdowell, WV / 22,555
2.13.7%Wyoming, WV / 23,993
3.13.4%Monroe, WV / 13,495
4.12.9%Pleasants, WV / 7,664
5.10.7%Ritchie, WV / 10,514
6.10.5%Summers, WV / 13,847
7.10.4%Gilmer, WV / 8,394
8.10.1%Mingo, WV / 26,956
9.9.9%Wayne, WV / 42,647
10.9.7%Barbour, WV / 16,256
11.9.7%Mercer, WV / 61,844
12.9.5%Wirt, WV / 5,753
13.8.9%Lincoln, WV / 21,879
14.8.8%Roane, WV / 15,116
15.8.6%Nicholas, WV / 26,189
16.8.6%Mason, WV / 27,016
17.8.5%Calhoun, WV / 7,588
18.8.0%Fayette, WV / 46,138
19.7.7%Monongalia, WV / 92,715
20.7.6%Greenbrier, WV / 35,373
21.7.3%Cabell, WV / 95,526
22.7.1%Doddridge, WV / 8,035
23.6.8%Randolph, WV / 29,233
24.6.7%Brooke, WV / 24,194
25.6.4%Marion, WV / 56,356
26.6.3%Taylor, WV / 16,732
27.6.2%Webster, WV / 9,247
28.5.9%Clay, WV / 9,572
29.5.8%Harrison, WV / 68,490
30.5.7%Kanawha, WV / 192,770
31.5.7%Wetzel, WV / 16,697
32.5.7%Tyler, WV / 9,339
33.5.6%Lewis, WV / 16,406
34.5.5%Hancock, WV / 30,866
35.5.4%Jackson, WV / 29,084
36.5.4%Pocahontas, WV / 8,808
37.5.2%Hampshire, WV / 23,594
38.5.1%Raleigh, WV / 78,513
39.5.0%Wood, WV / 86,731
40.4.7%Braxton, WV / 14,558
41.4.7%Ohio, WV / 44,582
42.4.6%Preston, WV / 32,976
43.4.4%Marshall, WV / 33,369
44.4.0%Grant, WV / 11,942
45.4.0%Logan, WV / 36,564
46.3.8%Pendleton, WV / 7,773
47.3.7%Jefferson, WV / 52,033
48.3.5%Hardy, WV / 13,832
49.3.3%Mineral, WV / 27,796
50.3.2%Berkeley, WV / 100,910
51.3.2%Upshur, WV / 23,984
52.3.1%Boone, WV / 24,872
53.2.9%Morgan, WV / 17,409
54.1.8%Putnam, WV / 54,940
55.1.2%Tucker, WV / 7,137

Please note that we only rank locations with 'Other Vacant Housing Units Percentage' data. The rank above might not be a complete list. Locations without 'Other Vacant Housing Units 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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