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West Virginia House Built in 2000-2010 Percentage County Rank

Based on ACS 2006-2010 data*

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

RankHouse Built in 2000-2010 Percentage ▼County / Population
1.24.7%Berkeley, WV / 100,910
2.19.5%Jefferson, WV / 52,033
3.16.0%Monongalia, WV / 92,715
4.12.2%Jackson, WV / 29,084
5.10.4%Mason, WV / 27,016
6.9.6%Mingo, WV / 26,956
7.8.5%Wayne, WV / 42,647
8.8.4%Lincoln, WV / 21,879
9.8.2%Putnam, WV / 54,940
10.8.0%Nicholas, WV / 26,189
11.7.3%Raleigh, WV / 78,513
12.7.1%Braxton, WV / 14,558
13.7.0%Mercer, WV / 61,844
14.6.9%Grant, WV / 11,942
15.6.8%Cabell, WV / 95,526
16.6.7%Calhoun, WV / 7,588
17.6.5%Morgan, WV / 17,409
18.6.5%Kanawha, WV / 192,770
19.6.5%Boone, WV / 24,872
20.6.4%Doddridge, WV / 8,035
21.6.4%Webster, WV / 9,247
22.6.4%Preston, WV / 32,976
23.6.3%Tucker, WV / 7,137
24.6.2%Clay, WV / 9,572
24.6.2%Upshur, WV / 23,984
26.6.1%Wood, WV / 86,731
26.6.1%Logan, WV / 36,564
28.6.1%Greenbrier, WV / 35,373
29.6.0%Wetzel, WV / 16,697
30.6.0%Hardy, WV / 13,832
31.5.9%Tyler, WV / 9,339
32.5.9%Monroe, WV / 13,495
33.5.8%Ritchie, WV / 10,514
34.5.7%Gilmer, WV / 8,394
35.5.5%Pleasants, WV / 7,664
36.5.5%Harrison, WV / 68,490
37.5.4%Randolph, WV / 29,233
38.5.4%Taylor, WV / 16,732
39.5.2%Hampshire, WV / 23,594
40.4.8%Roane, WV / 15,116
41.4.6%Wirt, WV / 5,753
42.4.4%Lewis, WV / 16,406
43.4.4%Mineral, WV / 27,796
44.4.3%Marion, WV / 56,356
45.4.1%Wyoming, WV / 23,993
46.4.1%Hancock, WV / 30,866
47.4.1%Fayette, WV / 46,138
48.4.1%Summers, WV / 13,847
49.3.5%Ohio, WV / 44,582
50.3.4%Barbour, WV / 16,256
51.3.4%Brooke, WV / 24,194
52.3.2%Pendleton, WV / 7,773
53.3.0%Pocahontas, WV / 8,808
54.2.9%Marshall, WV / 33,369
55.2.7%Mcdowell, WV / 22,555

Please note that we only rank locations with 'House Built in 2000-2010 Percentage' data. The rank above might not be a complete list. Locations without 'House Built in 2000-2010 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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