Sedley, VA Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Sedley, VA | Virginia | U.S. |
| Total Housing Units | 162, 100% | 3,041,710 | 116,211,092 |
| Utility Gas | 0, 0.00%, see rank | 33.74% | 48.85% |
| Bottled, Tank, or LP Gas | 52, 32.10%, see rank | 4.51% | 4.86% |
| Electricity | 87, 53.70%, see rank | 52.28% | 36.68% |
| Fuel Oil, Kerosene, etc. | 23, 14.20%, see rank | 6.01% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.08% | 0.12% |
| Wood | 0, 0.00%, see rank | 2.76% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.29% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.30% | 1.00% |
ACS 2008-2012 data
| | Sedley, VA | Virginia | U.S. |
| Total Housing Units | 202, 100% | 3,006,219 | 115,226,802 |
| Utility Gas | 0, 0.00%, see rank | 34.14% | 49.42% |
| Bottled, Tank, or LP Gas | 38, 18.81%, see rank | 4.55% | 5.03% |
| Electricity | 129, 63.86%, see rank | 50.89% | 35.51% |
| Fuel Oil, Kerosene, etc. | 35, 17.33%, see rank | 7.03% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.10% | 0.12% |
| Wood | 0, 0.00%, see rank | 2.78% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.26% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.25% | 0.90% |
ACS 2006-2010 data
| | Sedley, VA | Virginia | U.S. |
| Total Housing Units | 261, 100% | 2,974,481 | 114,235,996 |
| Utility Gas | 0, 0.00%, see rank | 34.66% | 49.91% |
| Bottled, Tank, or LP Gas | 75, 28.74%, see rank | 4.94% | 5.38% |
| Electricity | 94, 36.02%, see rank | 48.94% | 34.20% |
| Fuel Oil, Kerosene, etc. | 77, 29.50%, see rank | 8.25% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.11% | 0.12% |
| Wood | 15, 5.75%, see rank | 2.64% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.03% |
| Other Fuel | 0, 0.00%, see rank | 0.23% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 0.22% | 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.
