Local Data Search
A total of 43 results found. Show Results on Map.
| Rank | No Fuel Used Heating House Percentage ▼ | County / Population |
| 1. | 3.2% | Fall River, SD / 7,240 |
| 2. | 1.7% | Haakon, SD / 1,841 |
| 3. | 1.5% | Sanborn, SD / 2,458 |
| 4. | 1.4% | Beadle, SD / 15,845 |
| 5. | 1.3% | Hanson, SD / 3,585 |
| 6. | 1.1% | Hyde, SD / 1,481 |
| 6. | 1.1% | Hamlin, SD / 5,620 |
| 8. | 0.7% | Faulk, SD / 2,276 |
| 9. | 0.6% | Minnehaha, SD / 175,749 |
| 10. | 0.6% | Mellette, SD / 2,032 |
| 11. | 0.6% | Hutchinson, SD / 7,289 |
| 12. | 0.6% | Brown, SD / 35,016 |
| 12. | 0.6% | Clay, SD / 13,431 |
| 14. | 0.6% | Hughes, SD / 16,856 |
| 15. | 0.5% | Lawrence, SD / 23,159 |
| 16. | 0.5% | Spink, SD / 6,673 |
| 17. | 0.5% | Pennington, SD / 96,903 |
| 18. | 0.5% | Perkins, SD / 2,877 |
| 19. | 0.4% | Brookings, SD / 29,437 |
| 20. | 0.4% | Tripp, SD / 5,761 |
| 21. | 0.4% | Davison, SD / 18,932 |
| 22. | 0.4% | Mccook, SD / 5,697 |
| 22. | 0.4% | Butte, SD / 9,418 |
| 22. | 0.4% | Gregory, SD / 4,083 |
| 25. | 0.4% | Lincoln, SD / 37,607 |
| 26. | 0.3% | Jerauld, SD / 1,994 |
| 27. | 0.3% | Clark, SD / 3,526 |
| 28. | 0.3% | Grant, SD / 7,165 |
| 29. | 0.3% | Codington, SD / 26,129 |
| 30. | 0.3% | Bon Homme, SD / 7,023 |
| 30. | 0.3% | Marshall, SD / 4,266 |
| 30. | 0.3% | Lake, SD / 11,500 |
| 33. | 0.3% | Turner, SD / 8,331 |
| 34. | 0.2% | Edmunds, SD / 3,981 |
| 35. | 0.2% | Potter, SD / 2,149 |
| 35. | 0.2% | Moody, SD / 6,460 |
| 37. | 0.2% | Charles Mix, SD / 8,999 |
| 37. | 0.2% | Meade, SD / 24,126 |
| 39. | 0.2% | Douglas, SD / 3,050 |
| 40. | 0.1% | Walworth, SD / 5,312 |
| 40. | 0.1% | Yankton, SD / 21,771 |
| 42. | 0.1% | Custer, SD / 7,865 |
| 43. | 0.1% | Hand, SD / 3,268 |
Please note that we only rank locations with 'No Fuel Used Heating House Percentage' data. The rank above might not be a complete list. Locations without 'No Fuel Used 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.