24991 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 24991 Zip Code | West Virginia | U.S. |
| Total Housing Units | 269, 100% | 742,359 | 116,211,092 |
| Utility Gas | 0, 0.00%, see rank | 41.48% | 48.85% |
| Bottled, Tank, or LP Gas | 62, 23.05%, see rank | 4.38% | 4.86% |
| Electricity | 56, 20.82%, see rank | 42.94% | 36.68% |
| Fuel Oil, Kerosene, etc. | 22, 8.18%, see rank | 3.16% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.66% | 0.12% |
| Wood | 114, 42.38%, see rank | 6.53% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.63% | 0.47% |
| No Fuel Used | 15, 5.58%, see rank | 0.19% | 1.00% |
ACS 2008-2012 data
| | 24991 Zip Code | West Virginia | U.S. |
| Total Housing Units | 321, 100% | 742,674 | 115,226,802 |
| Utility Gas | 29, 9.03%, see rank | 42.36% | 49.42% |
| Bottled, Tank, or LP Gas | 54, 16.82%, see rank | 4.52% | 5.03% |
| Electricity | 76, 23.68%, see rank | 41.36% | 35.51% |
| Fuel Oil, Kerosene, etc. | 83, 25.86%, see rank | 3.70% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.75% | 0.12% |
| Wood | 62, 19.31%, see rank | 6.52% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.62% | 0.43% |
| No Fuel Used | 17, 5.30%, see rank | 0.14% | 0.90% |
US Census 2000 data
| | 24991 Zip Code | West Virginia | U.S. |
| Total Housing Units | 162, 100% | 736,481 | 105,480,101 |
| Utility Gas | 4, 2.47%, see rank | 47.78% | 51.22% |
| Bottled, Tank, or LP Gas | 20, 12.35%, see rank | 5.64% | 6.52% |
| Electricity | 38, 23.46%, see rank | 32.16% | 30.35% |
| Fuel Oil, Kerosene, etc. | 44, 27.16%, see rank | 6.75% | 8.97% |
| Coal or Coke | 5, 3.09%, see rank | 1.13% | 0.14% |
| Wood | 51, 31.48%, see rank | 5.92% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.46% | 0.39% |
| No Fuel Used | 0, 0.00%, see rank | 0.15% | 0.69% |
* 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.
