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West Virginia Total Housing Units County Rank

Based on ACS 2008-2012 data*

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

RankTotal Housing Units ▼County / Population
1.92,679Kanawha, WV / 192,572
2.46,174Cabell, WV / 96,240
3.44,766Berkeley, WV / 104,410
4.43,091Monongalia, WV / 96,417
5.40,236Wood, WV / 86,835
6.35,968Raleigh, WV / 78,852
7.31,489Harrison, WV / 68,959
8.30,052Mercer, WV / 62,251
9.26,483Marion, WV / 56,460
10.23,426Putnam, WV / 55,660
11.22,086Jefferson, WV / 53,545
12.21,647Fayette, WV / 46,000
13.21,243Ohio, WV / 44,307
14.19,267Wayne, WV / 42,273
15.18,984Greenbrier, WV / 35,572
16.16,783Logan, WV / 36,508
17.15,938Marshall, WV / 32,993
18.15,028Preston, WV / 33,471
19.14,549Hancock, WV / 30,594
20.14,189Randolph, WV / 29,361
21.13,647Hampshire, WV / 23,791
22.13,269Jackson, WV / 29,206
23.13,058Nicholas, WV / 26,201
24.13,049Mineral, WV / 28,049
25.12,966Mason, WV / 27,242
26.12,749Mingo, WV / 26,660
27.11,421Mcdowell, WV / 21,966
28.11,125Boone, WV / 24,617
29.11,112Upshur, WV / 24,210
30.10,990Wyoming, WV / 23,668
31.10,967Brooke, WV / 24,021
32.9,890Lincoln, WV / 21,714
33.9,743Morgan, WV / 17,507
34.8,788Pocahontas, WV / 8,750
35.8,186Wetzel, WV / 16,526
36.8,078Hardy, WV / 13,912
37.7,976Lewis, WV / 16,389
38.7,830Barbour, WV / 16,472
39.7,669Summers, WV / 13,813
40.7,603Monroe, WV / 13,528
41.7,518Taylor, WV / 16,889
42.7,426Braxton, WV / 14,531
43.7,379Roane, WV / 14,884
44.6,389Grant, WV / 11,929
45.5,835Ritchie, WV / 10,391
46.5,442Webster, WV / 9,158
47.5,327Tucker, WV / 7,109
48.5,153Pendleton, WV / 7,666
49.4,990Tyler, WV / 9,188
50.4,599Clay, WV / 9,432
51.3,965Calhoun, WV / 7,613
52.3,944Doddridge, WV / 8,147
53.3,461Gilmer, WV / 8,623
54.3,386Pleasants, WV / 7,630
55.3,232Wirt, WV / 5,769

Please note that we only rank locations with 'Total Housing Units' data. The rank above might not be a complete list. Locations without 'Total Housing Units' 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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