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West Virginia 5 Rooms House Percentage County Rank

Based on ACS 2006-2010 data*

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

Rank5 Rooms House Percentage ▼County / Population
1.29.9%Calhoun, WV / 7,588
2.29.8%Hampshire, WV / 23,594
3.29.2%Monroe, WV / 13,495
4.28.9%Lincoln, WV / 21,879
5.28.5%Taylor, WV / 16,732
6.27.5%Clay, WV / 9,572
7.27.4%Wyoming, WV / 23,993
8.27.1%Grant, WV / 11,942
9.27.0%Mason, WV / 27,016
10.27.0%Mingo, WV / 26,956
11.26.8%Nicholas, WV / 26,189
12.26.0%Fayette, WV / 46,138
13.25.9%Morgan, WV / 17,409
14.25.7%Gilmer, WV / 8,394
15.25.6%Mcdowell, WV / 22,555
16.25.6%Preston, WV / 32,976
17.25.5%Wirt, WV / 5,753
18.25.4%Summers, WV / 13,847
19.25.3%Marshall, WV / 33,369
20.25.2%Roane, WV / 15,116
21.25.2%Marion, WV / 56,356
22.25.0%Greenbrier, WV / 35,373
23.24.9%Barbour, WV / 16,256
24.24.7%Boone, WV / 24,872
24.24.7%Doddridge, WV / 8,035
26.24.5%Mercer, WV / 61,844
27.23.9%Hancock, WV / 30,866
28.23.9%Braxton, WV / 14,558
29.23.8%Pleasants, WV / 7,664
30.23.6%Wayne, WV / 42,647
31.23.5%Harrison, WV / 68,490
32.23.3%Upshur, WV / 23,984
33.23.3%Brooke, WV / 24,194
34.23.2%Jackson, WV / 29,084
35.23.2%Tyler, WV / 9,339
36.23.0%Mineral, WV / 27,796
37.23.0%Monongalia, WV / 92,715
38.22.7%Putnam, WV / 54,940
39.22.6%Berkeley, WV / 100,910
40.22.3%Logan, WV / 36,564
41.22.3%Pendleton, WV / 7,773
42.22.1%Tucker, WV / 7,137
43.21.8%Wetzel, WV / 16,697
44.21.7%Webster, WV / 9,247
45.21.5%Wood, WV / 86,731
46.21.2%Hardy, WV / 13,832
47.20.9%Kanawha, WV / 192,770
48.20.8%Cabell, WV / 95,526
49.20.7%Lewis, WV / 16,406
50.20.2%Ritchie, WV / 10,514
51.19.6%Randolph, WV / 29,233
52.19.5%Ohio, WV / 44,582
53.18.3%Jefferson, WV / 52,033
54.17.0%Raleigh, WV / 78,513
55.16.1%Pocahontas, WV / 8,808

Please note that we only rank locations with '5 Rooms House Percentage' data. The rank above might not be a complete list. Locations without '5 Rooms House 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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