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West Virginia Total Housing Units County Rank

Based on ACS 2005-2009 data*

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

RankTotal Housing Units ▼County / Population
1.95,348Kanawha, WV / 191,624
2.46,435Cabell, WV / 94,552
3.42,588Berkeley, WV / 99,058
4.40,923Wood, WV / 86,557
5.38,270Monongalia, WV / 87,864
6.37,048Raleigh, WV / 78,686
7.32,046Harrison, WV / 68,363
8.30,323Mercer, WV / 61,451
9.27,220Marion, WV / 56,568
10.23,456Putnam, WV / 54,881
11.22,412Fayette, WV / 46,240
12.22,220Ohio, WV / 44,365
13.21,677Jefferson, WV / 50,791
14.19,646Wayne, WV / 41,496
15.18,629Greenbrier, WV / 34,610
16.17,495Logan, WV / 35,553
17.16,087Marshall, WV / 33,205
18.14,848Hancock, WV / 30,215
19.13,995Randolph, WV / 28,377
20.13,934Preston, WV / 30,178
21.13,732Mcdowell, WV / 22,971
22.13,465Mingo, WV / 26,562
23.13,043Mineral, WV / 26,960
24.12,984Nicholas, WV / 26,084
25.12,725Jackson, WV / 28,140
26.12,518Mason, WV / 25,536
27.12,473Hampshire, WV / 22,400
28.11,945Boone, WV / 25,000
29.11,930Wyoming, WV / 23,651
30.11,375Upshur, WV / 23,566
31.11,291Brooke, WV / 23,801
32.10,185Lincoln, WV / 22,211
33.9,454Morgan, WV / 16,303
34.8,417Wetzel, WV / 16,507
35.8,179Lewis, WV / 17,215
36.7,952Hardy, WV / 13,488
37.7,921Pocahontas, WV / 8,599
38.7,759Roane, WV / 15,123
39.7,684Braxton, WV / 14,554
40.7,611Barbour, WV / 15,522
41.7,586Monroe, WV / 13,606
42.7,518Summers, WV / 13,217
43.7,314Taylor, WV / 16,188
44.6,670Grant, WV / 11,789
45.5,678Ritchie, WV / 10,306
46.5,475Webster, WV / 9,510
47.5,381Pendleton, WV / 7,577
48.5,022Clay, WV / 10,061
49.4,919Tyler, WV / 8,970
50.4,820Tucker, WV / 6,861
51.4,004Calhoun, WV / 7,209
52.3,809Doddridge, WV / 7,238
53.3,451Wirt, WV / 5,696
54.3,270Pleasants, WV / 7,459
55.3,167Gilmer, WV / 6,889

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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