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West Virginia Percentage of Population Age 65 to 74 County Rank

Based on ACS 2005-2009 data*

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

RankPercentage of Population Age 65 to 74 ▼County / Population
1.10.9%Pendleton, WV / 7,577
2.10.9%Grant, WV / 11,789
3.10.8%Tucker, WV / 6,861
4.10.1%Wetzel, WV / 16,507
5.10.1%Pocahontas, WV / 8,599
6.9.7%Tyler, WV / 8,970
7.9.6%Morgan, WV / 16,303
8.9.6%Summers, WV / 13,217
9.9.5%Jackson, WV / 28,140
10.9.4%Brooke, WV / 23,801
10.9.4%Monroe, WV / 13,606
12.9.3%Greenbrier, WV / 34,610
13.9.3%Mason, WV / 25,536
14.9.2%Calhoun, WV / 7,209
14.9.2%Hancock, WV / 30,215
16.9.1%Nicholas, WV / 26,084
17.9.0%Lewis, WV / 17,215
18.9.0%Ritchie, WV / 10,306
19.9.0%Braxton, WV / 14,554
20.8.9%Wirt, WV / 5,696
21.8.8%Mercer, WV / 61,451
21.8.8%Webster, WV / 9,510
23.8.7%Hardy, WV / 13,488
24.8.7%Upshur, WV / 23,566
25.8.7%Doddridge, WV / 7,238
25.8.7%Roane, WV / 15,123
27.8.7%Randolph, WV / 28,377
28.8.6%Ohio, WV / 44,365
29.8.6%Wood, WV / 86,557
29.8.6%Wayne, WV / 41,496
31.8.5%Hampshire, WV / 22,400
32.8.5%Barbour, WV / 15,522
33.8.5%Preston, WV / 30,178
34.8.5%Marshall, WV / 33,205
35.8.4%Mineral, WV / 26,960
36.8.2%Kanawha, WV / 191,624
37.8.2%Lincoln, WV / 22,211
38.8.1%Clay, WV / 10,061
38.8.1%Wyoming, WV / 23,651
40.8.0%Mcdowell, WV / 22,971
41.8.0%Marion, WV / 56,568
42.8.0%Raleigh, WV / 78,686
42.8.0%Taylor, WV / 16,188
44.7.9%Cabell, WV / 94,552
45.7.9%Gilmer, WV / 6,889
46.7.9%Harrison, WV / 68,363
47.7.8%Fayette, WV / 46,240
48.7.7%Putnam, WV / 54,881
49.7.6%Pleasants, WV / 7,459
50.7.5%Logan, WV / 35,553
51.7.1%Boone, WV / 25,000
52.7.0%Mingo, WV / 26,562
53.6.4%Jefferson, WV / 50,791
54.6.2%Berkeley, WV / 99,058
55.5.3%Monongalia, WV / 87,864

Please note that we only rank locations with 'Percentage of Population Age 65 to 74' data. The rank above might not be a complete list. Locations without 'Percentage of Population Age 65 to 74' 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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