Local Data Search
A total of 42 results found. Show Results on Map.
| Rank | Coal or Coke Heating House Percentage ▼ | County / Population |
| 1. | 12.8% | Mcdowell, WV / 21,966 |
| 2. | 8.1% | Preston, WV / 33,471 |
| 3. | 4.1% | Wyoming, WV / 23,668 |
| 4. | 2.7% | Taylor, WV / 16,889 |
| 5. | 2.7% | Webster, WV / 9,158 |
| 6. | 2.6% | Tucker, WV / 7,109 |
| 7. | 2.6% | Barbour, WV / 16,472 |
| 8. | 1.9% | Mineral, WV / 28,049 |
| 9. | 1.7% | Morgan, WV / 17,507 |
| 10. | 1.7% | Nicholas, WV / 26,201 |
| 11. | 1.4% | Randolph, WV / 29,361 |
| 12. | 1.3% | Pendleton, WV / 7,666 |
| 13. | 1.2% | Mercer, WV / 62,251 |
| 14. | 1.1% | Fayette, WV / 46,000 |
| 15. | 1.1% | Grant, WV / 11,929 |
| 16. | 1.0% | Greenbrier, WV / 35,572 |
| 17. | 0.9% | Clay, WV / 9,432 |
| 18. | 0.8% | Raleigh, WV / 78,852 |
| 19. | 0.8% | Wirt, WV / 5,769 |
| 20. | 0.6% | Boone, WV / 24,617 |
| 21. | 0.6% | Tyler, WV / 9,188 |
| 22. | 0.5% | Monroe, WV / 13,528 |
| 23. | 0.5% | Upshur, WV / 24,210 |
| 24. | 0.4% | Marion, WV / 56,460 |
| 25. | 0.4% | Mingo, WV / 26,660 |
| 25. | 0.4% | Summers, WV / 13,813 |
| 27. | 0.4% | Hampshire, WV / 23,791 |
| 27. | 0.4% | Monongalia, WV / 96,417 |
| 27. | 0.4% | Hardy, WV / 13,912 |
| 30. | 0.4% | Braxton, WV / 14,531 |
| 31. | 0.2% | Jefferson, WV / 53,545 |
| 32. | 0.2% | Wayne, WV / 42,273 |
| 32. | 0.2% | Jackson, WV / 29,206 |
| 34. | 0.2% | Berkeley, WV / 104,410 |
| 35. | 0.2% | Lincoln, WV / 21,714 |
| 35. | 0.2% | Harrison, WV / 68,959 |
| 37. | 0.1% | Putnam, WV / 55,660 |
| 38. | 0.1% | Logan, WV / 36,508 |
| 39. | 0.1% | Cabell, WV / 96,240 |
| 39. | 0.1% | Kanawha, WV / 192,572 |
| 41. | 0.0% | Mason, WV / 27,242 |
| 42. | 0.0% | Hancock, WV / 30,594 |
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.