A total of 45 results found. Show Results on Map.
Rank | Coal or Coke Heating House Percentage ▼ | County / Population |
1. | 14.5% | Mcdowell, WV / 22,555 |
2. | 7.5% | Preston, WV / 32,976 |
3. | 5.5% | Wyoming, WV / 23,993 |
4. | 5.0% | Webster, WV / 9,247 |
5. | 2.9% | Taylor, WV / 16,732 |
6. | 2.5% | Mineral, WV / 27,796 |
7. | 2.4% | Barbour, WV / 16,256 |
8. | 2.1% | Tucker, WV / 7,137 |
9. | 1.8% | Morgan, WV / 17,409 |
10. | 1.7% | Nicholas, WV / 26,189 |
11. | 1.5% | Mercer, WV / 61,844 |
12. | 1.3% | Mingo, WV / 26,956 |
13. | 1.2% | Greenbrier, WV / 35,373 |
14. | 1.1% | Randolph, WV / 29,233 |
15. | 1.1% | Grant, WV / 11,942 |
16. | 1.0% | Pendleton, WV / 7,773 |
17. | 1.0% | Fayette, WV / 46,138 |
18. | 0.9% | Monroe, WV / 13,495 |
19. | 0.8% | Clay, WV / 9,572 |
20. | 0.8% | Raleigh, WV / 78,513 |
21. | 0.8% | Hampshire, WV / 23,594 |
22. | 0.8% | Tyler, WV / 9,339 |
23. | 0.7% | Upshur, WV / 23,984 |
24. | 0.6% | Wirt, WV / 5,753 |
25. | 0.6% | Marion, WV / 56,356 |
26. | 0.5% | Boone, WV / 24,872 |
27. | 0.4% | Hardy, WV / 13,832 |
28. | 0.4% | Monongalia, WV / 92,715 |
29. | 0.4% | Lincoln, WV / 21,879 |
29. | 0.4% | Summers, WV / 13,847 |
31. | 0.4% | Braxton, WV / 14,558 |
32. | 0.3% | Jackson, WV / 29,084 |
32. | 0.3% | Wayne, WV / 42,647 |
34. | 0.2% | Brooke, WV / 24,194 |
35. | 0.2% | Harrison, WV / 68,490 |
35. | 0.2% | Hancock, WV / 30,866 |
37. | 0.2% | Wetzel, WV / 16,697 |
38. | 0.2% | Logan, WV / 36,564 |
39. | 0.1% | Jefferson, WV / 52,033 |
40. | 0.1% | Cabell, WV / 95,526 |
41. | 0.1% | Berkeley, WV / 100,910 |
42. | 0.1% | Kanawha, WV / 192,770 |
43. | 0.1% | Putnam, WV / 54,940 |
44. | 0.1% | Ohio, WV / 44,582 |
45. | 0.0% | Mason, WV / 27,016 |
Please note that we only rank locations with 'Coal or Coke Heating House Percentage' data. The rank above might not be a complete list. Locations without 'Coal or Coke Heating House 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.