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West Virginia House Built in 1990-2000 Percentage County Rank

Based on ACS 2006-2010 data*

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

RankHouse Built in 1990-2000 Percentage ▼County / Population
1.26.1%Putnam, WV / 54,940
2.24.1%Clay, WV / 9,572
3.23.2%Wirt, WV / 5,753
4.22.8%Berkeley, WV / 100,910
5.21.1%Mingo, WV / 26,956
6.20.4%Lincoln, WV / 21,879
7.20.2%Hardy, WV / 13,832
8.18.5%Pocahontas, WV / 8,808
9.18.1%Boone, WV / 24,872
10.18.1%Preston, WV / 32,976
11.17.7%Hampshire, WV / 23,594
12.17.3%Grant, WV / 11,942
13.17.0%Jefferson, WV / 52,033
14.16.4%Nicholas, WV / 26,189
15.15.8%Pleasants, WV / 7,664
16.15.7%Tucker, WV / 7,137
17.15.6%Logan, WV / 36,564
18.15.5%Jackson, WV / 29,084
19.15.3%Mason, WV / 27,016
20.15.1%Monroe, WV / 13,495
21.15.1%Raleigh, WV / 78,513
22.15.0%Braxton, WV / 14,558
23.14.7%Pendleton, WV / 7,773
24.14.6%Taylor, WV / 16,732
25.14.3%Randolph, WV / 29,233
26.14.2%Morgan, WV / 17,409
27.14.1%Wayne, WV / 42,647
28.13.8%Mercer, WV / 61,844
29.13.7%Wyoming, WV / 23,993
30.13.5%Lewis, WV / 16,406
31.13.4%Monongalia, WV / 92,715
32.13.2%Summers, WV / 13,847
33.13.1%Doddridge, WV / 8,035
34.12.9%Mineral, WV / 27,796
35.12.8%Greenbrier, WV / 35,373
36.12.8%Upshur, WV / 23,984
37.12.6%Gilmer, WV / 8,394
38.12.2%Ritchie, WV / 10,514
39.11.8%Barbour, WV / 16,256
40.11.7%Calhoun, WV / 7,588
41.11.4%Wood, WV / 86,731
42.10.6%Roane, WV / 15,116
43.10.4%Harrison, WV / 68,490
44.9.8%Fayette, WV / 46,138
45.9.6%Marion, WV / 56,356
46.9.3%Cabell, WV / 95,526
47.9.3%Kanawha, WV / 192,770
48.8.8%Marshall, WV / 33,369
49.8.3%Hancock, WV / 30,866
50.8.2%Webster, WV / 9,247
51.7.8%Wetzel, WV / 16,697
52.7.8%Brooke, WV / 24,194
53.7.8%Tyler, WV / 9,339
54.7.2%Mcdowell, WV / 22,555
55.5.3%Ohio, WV / 44,582

Please note that we only rank locations with 'House Built in 1990-2000 Percentage' data. The rank above might not be a complete list. Locations without 'House Built in 1990-2000 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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