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West Virginia Other Vacant Housing Units Percentage County Rank

Based on ACS 2008-2012 data*

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

RankOther Vacant Housing Units Percentage ▼County / Population
1.16.6%Mcdowell, WV / 21,966
2.14.5%Monroe, WV / 13,528
3.13.5%Summers, WV / 13,813
4.12.7%Ritchie, WV / 10,391
5.12.6%Wirt, WV / 5,769
6.12.4%Gilmer, WV / 8,623
7.12.0%Wyoming, WV / 23,668
8.10.9%Mason, WV / 27,242
9.10.5%Pleasants, WV / 7,630
10.10.4%Lincoln, WV / 21,714
11.10.4%Roane, WV / 14,884
12.10.0%Wayne, WV / 42,273
13.9.9%Webster, WV / 9,158
14.9.9%Doddridge, WV / 8,147
15.9.2%Mingo, WV / 26,660
16.9.2%Fayette, WV / 46,000
17.9.1%Tyler, WV / 9,188
18.8.5%Randolph, WV / 29,361
19.8.5%Mercer, WV / 62,251
20.7.9%Monongalia, WV / 96,417
21.7.8%Calhoun, WV / 7,613
22.7.8%Barbour, WV / 16,472
23.7.7%Nicholas, WV / 26,201
24.7.5%Cabell, WV / 96,240
25.7.3%Greenbrier, WV / 35,572
26.6.4%Harrison, WV / 68,959
27.6.4%Marion, WV / 56,460
28.6.3%Wood, WV / 86,835
29.6.0%Brooke, WV / 24,021
30.5.9%Ohio, WV / 44,307
31.5.8%Jackson, WV / 29,206
31.5.8%Wetzel, WV / 16,526
33.5.5%Hancock, WV / 30,594
34.5.4%Mineral, WV / 28,049
35.5.3%Pocahontas, WV / 8,750
36.5.3%Braxton, WV / 14,531
37.5.3%Kanawha, WV / 192,572
38.5.1%Clay, WV / 9,432
39.4.8%Preston, WV / 33,471
40.4.7%Taylor, WV / 16,889
41.4.7%Hampshire, WV / 23,791
42.4.7%Lewis, WV / 16,389
43.4.1%Marshall, WV / 32,993
44.3.3%Raleigh, WV / 78,852
45.2.6%Jefferson, WV / 53,545
46.2.6%Morgan, WV / 17,507
47.2.6%Pendleton, WV / 7,666
48.2.3%Upshur, WV / 24,210
49.2.2%Berkeley, WV / 104,410
50.1.5%Logan, WV / 36,508
51.1.3%Putnam, WV / 55,660
52.1.2%Hardy, WV / 13,912
52.1.2%Tucker, WV / 7,109
54.1.1%Grant, WV / 11,929
55.0.9%Boone, WV / 24,617

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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