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West Virginia House Built in 1980-1989 Percentage County Rank

Based on ACS 2006-2010 data*

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

RankHouse Built in 1980-1989 Percentage ▼County / Population
1.26.3%Pocahontas, WV / 8,808
2.26.2%Gilmer, WV / 8,394
3.22.6%Wirt, WV / 5,753
4.21.6%Hampshire, WV / 23,594
5.21.2%Tucker, WV / 7,137
6.20.9%Mingo, WV / 26,956
7.20.5%Webster, WV / 9,247
8.19.6%Putnam, WV / 54,940
9.19.3%Grant, WV / 11,942
10.19.0%Morgan, WV / 17,409
11.19.0%Clay, WV / 9,572
12.18.5%Braxton, WV / 14,558
13.18.1%Jefferson, WV / 52,033
14.18.0%Lincoln, WV / 21,879
15.17.6%Pendleton, WV / 7,773
16.17.6%Nicholas, WV / 26,189
17.17.4%Hardy, WV / 13,832
18.17.4%Randolph, WV / 29,233
19.17.1%Wyoming, WV / 23,993
20.16.9%Boone, WV / 24,872
21.16.5%Wayne, WV / 42,647
22.16.4%Monroe, WV / 13,495
23.16.3%Upshur, WV / 23,984
24.15.9%Berkeley, WV / 100,910
25.15.6%Tyler, WV / 9,339
26.15.4%Jackson, WV / 29,084
27.15.3%Calhoun, WV / 7,588
28.15.3%Logan, WV / 36,564
29.14.8%Preston, WV / 32,976
30.14.5%Lewis, WV / 16,406
31.14.4%Summers, WV / 13,847
32.14.2%Ritchie, WV / 10,514
33.14.0%Barbour, WV / 16,256
34.14.0%Doddridge, WV / 8,035
35.13.6%Pleasants, WV / 7,664
36.13.5%Roane, WV / 15,116
37.13.1%Monongalia, WV / 92,715
38.12.9%Wetzel, WV / 16,697
39.12.8%Mason, WV / 27,016
40.12.4%Taylor, WV / 16,732
41.12.3%Wood, WV / 86,731
42.12.3%Mercer, WV / 61,844
43.12.0%Raleigh, WV / 78,513
44.11.7%Mineral, WV / 27,796
45.10.6%Fayette, WV / 46,138
46.10.3%Harrison, WV / 68,490
47.10.0%Marshall, WV / 33,369
48.10.0%Cabell, WV / 95,526
49.9.8%Greenbrier, WV / 35,373
50.9.8%Kanawha, WV / 192,770
51.9.4%Mcdowell, WV / 22,555
52.9.0%Marion, WV / 56,356
53.7.4%Brooke, WV / 24,194
54.6.9%Ohio, WV / 44,582
55.6.5%Hancock, WV / 30,866

Please note that we only rank locations with 'House Built in 1980-1989 Percentage' data. The rank above might not be a complete list. Locations without 'House Built in 1980-1989 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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