Carolina, WV Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Carolina, WV | West Virginia | U.S. |
| Total Housing Units | 124, 100% | 742,359 | 116,211,092 |
| Utility Gas | 124, 100.00%, see rank | 41.48% | 48.85% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 4.38% | 4.86% |
| Electricity | 0, 0.00%, see rank | 42.94% | 36.68% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 3.16% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.66% | 0.12% |
| Wood | 0, 0.00%, 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 | 0, 0.00%, see rank | 0.19% | 1.00% |
ACS 2008-2012 data
| | Carolina, WV | West Virginia | U.S. |
| Total Housing Units | 158, 100% | 742,674 | 115,226,802 |
| Utility Gas | 151, 95.57%, see rank | 42.36% | 49.42% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 4.52% | 5.03% |
| Electricity | 7, 4.43%, see rank | 41.36% | 35.51% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 3.70% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.75% | 0.12% |
| Wood | 0, 0.00%, 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 | 0, 0.00%, see rank | 0.14% | 0.90% |
ACS 2006-2010 data
| | Carolina, WV | West Virginia | U.S. |
| Total Housing Units | 110, 100% | 740,874 | 114,235,996 |
| Utility Gas | 101, 91.82%, see rank | 43.85% | 49.91% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 4.94% | 5.38% |
| Electricity | 9, 8.18%, see rank | 38.83% | 34.20% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 4.53% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.85% | 0.12% |
| Wood | 0, 0.00%, see rank | 6.19% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.04% | 0.03% |
| Other Fuel | 0, 0.00%, see rank | 0.62% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 0.15% | 0.90% |
* 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.
