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West Virginia $75K to $100K Household Income Percentage County Rank

Based on ACS 2005-2009 data*

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

Rank$75K to $100K Household Income Percentage ▼County / Population
1.15.3%Berkeley, WV / 99,058
2.15.2%Jefferson, WV / 50,791
3.14.5%Putnam, WV / 54,881
4.12.9%Pleasants, WV / 7,459
5.12.1%Grant, WV / 11,789
6.12.0%Boone, WV / 25,000
7.11.5%Tyler, WV / 8,970
8.11.1%Mason, WV / 25,536
9.11.1%Jackson, WV / 28,140
10.10.7%Kanawha, WV / 191,624
11.10.4%Wetzel, WV / 16,507
12.10.3%Monongalia, WV / 87,864
13.10.2%Mingo, WV / 26,562
14.10.2%Harrison, WV / 68,363
15.10.2%Taylor, WV / 16,188
16.10.1%Raleigh, WV / 78,686
17.10.0%Brooke, WV / 23,801
18.9.8%Preston, WV / 30,178
19.9.7%Hancock, WV / 30,215
20.9.7%Hardy, WV / 13,488
21.9.7%Mineral, WV / 26,960
22.9.6%Upshur, WV / 23,566
23.9.5%Marshall, WV / 33,205
24.9.3%Marion, WV / 56,568
25.9.3%Nicholas, WV / 26,084
26.9.3%Ohio, WV / 44,365
27.9.2%Wyoming, WV / 23,651
28.9.2%Wood, WV / 86,557
29.9.1%Morgan, WV / 16,303
30.9.0%Cabell, WV / 94,552
31.8.9%Monroe, WV / 13,606
32.8.9%Wayne, WV / 41,496
33.8.6%Braxton, WV / 14,554
34.8.5%Barbour, WV / 15,522
35.8.5%Clay, WV / 10,061
36.8.3%Wirt, WV / 5,696
37.8.1%Logan, WV / 35,553
38.7.9%Pocahontas, WV / 8,599
39.7.8%Webster, WV / 9,510
40.7.4%Ritchie, WV / 10,306
41.7.3%Randolph, WV / 28,377
42.7.3%Mercer, WV / 61,451
43.7.3%Pendleton, WV / 7,577
44.7.2%Hampshire, WV / 22,400
45.7.2%Tucker, WV / 6,861
46.7.1%Roane, WV / 15,123
47.6.9%Greenbrier, WV / 34,610
48.6.8%Lewis, WV / 17,215
49.6.6%Fayette, WV / 46,240
50.6.4%Summers, WV / 13,217
51.6.0%Gilmer, WV / 6,889
52.6.0%Lincoln, WV / 22,211
53.5.9%Doddridge, WV / 7,238
54.3.3%Mcdowell, WV / 22,971
55.2.7%Calhoun, WV / 7,209

Please note that we only rank locations with '$75K to $100K Household Income Percentage' data. The rank above might not be a complete list. Locations without '$75K to $100K Household Income 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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