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West Virginia House Built in 2000-2010 Percentage County Rank

Based on ACS 2005-2009 data*

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

RankHouse Built in 2000-2010 Percentage ▼County / Population
1.22.2%Berkeley, WV / 99,058
2.16.7%Jefferson, WV / 50,791
3.12.3%Monongalia, WV / 87,864
4.10.4%Jackson, WV / 28,140
5.9.9%Calhoun, WV / 7,209
6.8.7%Mingo, WV / 26,562
7.8.4%Lincoln, WV / 22,211
8.8.4%Mason, WV / 25,536
9.7.7%Wayne, WV / 41,496
10.6.9%Clay, WV / 10,061
11.6.8%Putnam, WV / 54,881
12.6.7%Tyler, WV / 8,970
13.6.7%Raleigh, WV / 78,686
14.6.4%Cabell, WV / 94,552
15.6.3%Mercer, WV / 61,451
16.5.8%Nicholas, WV / 26,084
17.5.6%Kanawha, WV / 191,624
18.5.6%Hardy, WV / 13,488
19.5.4%Summers, WV / 13,217
20.5.3%Ritchie, WV / 10,306
21.5.3%Wood, WV / 86,557
22.5.3%Morgan, WV / 16,303
23.5.2%Webster, WV / 9,510
24.5.2%Boone, WV / 25,000
24.5.2%Randolph, WV / 28,377
26.5.2%Doddridge, WV / 7,238
27.5.1%Roane, WV / 15,123
27.5.1%Hampshire, WV / 22,400
29.4.9%Preston, WV / 30,178
30.4.9%Wetzel, WV / 16,507
30.4.9%Harrison, WV / 68,363
32.4.9%Upshur, WV / 23,566
33.4.8%Grant, WV / 11,789
34.4.6%Greenbrier, WV / 34,610
35.4.5%Logan, WV / 35,553
36.4.4%Braxton, WV / 14,554
37.4.1%Monroe, WV / 13,606
38.4.1%Gilmer, WV / 6,889
39.4.1%Tucker, WV / 6,861
40.4.0%Taylor, WV / 16,188
41.3.8%Pleasants, WV / 7,459
42.3.7%Hancock, WV / 30,215
43.3.6%Lewis, WV / 17,215
43.3.6%Wirt, WV / 5,696
45.3.5%Fayette, WV / 46,240
46.3.4%Pendleton, WV / 7,577
47.3.3%Wyoming, WV / 23,651
48.3.2%Marion, WV / 56,568
49.3.0%Mineral, WV / 26,960
50.2.8%Marshall, WV / 33,205
51.2.8%Brooke, WV / 23,801
52.2.6%Ohio, WV / 44,365
53.2.4%Barbour, WV / 15,522
54.2.3%Mcdowell, WV / 22,971
55.1.2%Pocahontas, WV / 8,599

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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