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West Virginia Rented or Sold, Not Occupied Housing Units Percentage County Rank

Based on ACS 2006-2010 data*

A total of 53 results found. Show Results on Map.

RankRented or Sold, Not Occupied Housing Units Percentage ▼County / Population
1.10.6%Hardy, WV / 13,832
2.3.8%Putnam, WV / 54,940
3.3.0%Monongalia, WV / 92,715
4.2.5%Raleigh, WV / 78,513
5.1.9%Ohio, WV / 44,582
6.1.8%Lewis, WV / 16,406
7.1.8%Kanawha, WV / 192,770
7.1.8%Mcdowell, WV / 22,555
9.1.6%Greenbrier, WV / 35,373
10.1.6%Hampshire, WV / 23,594
11.1.5%Fayette, WV / 46,138
12.1.5%Taylor, WV / 16,732
12.1.5%Preston, WV / 32,976
14.1.3%Cabell, WV / 95,526
15.1.3%Marion, WV / 56,356
16.1.1%Wyoming, WV / 23,993
17.1.1%Webster, WV / 9,247
18.1.1%Marshall, WV / 33,369
19.1.1%Doddridge, WV / 8,035
20.1.1%Jefferson, WV / 52,033
21.1.0%Lincoln, WV / 21,879
22.1.0%Barbour, WV / 16,256
23.1.0%Summers, WV / 13,847
23.1.0%Harrison, WV / 68,490
25.0.9%Mercer, WV / 61,844
26.0.9%Berkeley, WV / 100,910
27.0.8%Morgan, WV / 17,409
28.0.8%Logan, WV / 36,564
29.0.7%Nicholas, WV / 26,189
29.0.7%Mason, WV / 27,016
31.0.7%Jackson, WV / 29,084
32.0.7%Braxton, WV / 14,558
33.0.7%Wetzel, WV / 16,697
34.0.6%Randolph, WV / 29,233
35.0.6%Pendleton, WV / 7,773
36.0.6%Brooke, WV / 24,194
36.0.6%Boone, WV / 24,872
38.0.5%Tucker, WV / 7,137
39.0.5%Grant, WV / 11,942
40.0.5%Tyler, WV / 9,339
40.0.5%Ritchie, WV / 10,514
42.0.5%Mineral, WV / 27,796
43.0.4%Mingo, WV / 26,956
44.0.4%Upshur, WV / 23,984
44.0.4%Wood, WV / 86,731
46.0.4%Wirt, WV / 5,753
47.0.4%Pocahontas, WV / 8,808
48.0.4%Pleasants, WV / 7,664
49.0.4%Calhoun, WV / 7,588
50.0.3%Clay, WV / 9,572
51.0.3%Wayne, WV / 42,647
52.0.2%Monroe, WV / 13,495
53.0.2%Hancock, WV / 30,866

Please note that we only rank locations with 'Rented or Sold, Not Occupied Housing Units Percentage' data. The rank above might not be a complete list. Locations without 'Rented or Sold, Not Occupied 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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