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West Virginia House Median Built Year County Rank

Based on ACS 2006-2010 data*

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

RankHouse Median Built Year ▼County / Population
1.1,988Berkeley, WV / 100,910
2.1,983Jefferson, WV / 52,033
3.1,982Putnam, WV / 54,940
4.1,981Mingo, WV / 26,956
5.1,980Wirt, WV / 5,753
5.1,980Clay, WV / 9,572
7.1,979Pocahontas, WV / 8,808
8.1,978Lincoln, WV / 21,879
9.1,977Hardy, WV / 13,832
9.1,977Grant, WV / 11,942
9.1,977Jackson, WV / 29,084
9.1,977Hampshire, WV / 23,594
13.1,976Tucker, WV / 7,137
13.1,976Nicholas, WV / 26,189
13.1,976Boone, WV / 24,872
13.1,976Gilmer, WV / 8,394
17.1,975Morgan, WV / 17,409
17.1,975Preston, WV / 32,976
17.1,975Monongalia, WV / 92,715
17.1,975Braxton, WV / 14,558
21.1,974Wayne, WV / 42,647
21.1,974Upshur, WV / 23,984
23.1,973Logan, WV / 36,564
23.1,973Mason, WV / 27,016
23.1,973Calhoun, WV / 7,588
23.1,973Wyoming, WV / 23,993
23.1,973Monroe, WV / 13,495
23.1,973Webster, WV / 9,247
23.1,973Randolph, WV / 29,233
30.1,972Raleigh, WV / 78,513
30.1,972Pendleton, WV / 7,773
32.1,971Pleasants, WV / 7,664
32.1,971Roane, WV / 15,116
32.1,971Doddridge, WV / 8,035
32.1,971Mercer, WV / 61,844
32.1,971Barbour, WV / 16,256
37.1,969Mineral, WV / 27,796
37.1,969Lewis, WV / 16,406
39.1,968Wood, WV / 86,731
40.1,967Ritchie, WV / 10,514
40.1,967Greenbrier, WV / 35,373
42.1,965Tyler, WV / 9,339
42.1,965Taylor, WV / 16,732
44.1,964Summers, WV / 13,847
45.1,963Cabell, WV / 95,526
45.1,963Kanawha, WV / 192,770
45.1,963Wetzel, WV / 16,697
48.1,962Fayette, WV / 46,138
49.1,961Marshall, WV / 33,369
50.1,960Hancock, WV / 30,866
50.1,960Harrison, WV / 68,490
52.1,958Brooke, WV / 24,194
52.1,958Marion, WV / 56,356
54.1,951Mcdowell, WV / 22,555
55.1,950Ohio, WV / 44,582

Please note that we only rank locations with 'House Median Built Year' data. The rank above might not be a complete list. Locations without 'House Median Built Year' 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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