24378 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 24378 Zip Code | Virginia | U.S. |
| Total Housing Units | 596, 100% | 3,041,710 | 116,211,092 |
| Utility Gas | 6, 1.01%, see rank | 33.74% | 48.85% |
| Bottled, Tank, or LP Gas | 48, 8.05%, see rank | 4.51% | 4.86% |
| Electricity | 175, 29.36%, see rank | 52.28% | 36.68% |
| Fuel Oil, Kerosene, etc. | 264, 44.30%, see rank | 6.01% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.08% | 0.12% |
| Wood | 84, 14.09%, see rank | 2.76% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
| Other Fuel | 10, 1.68%, see rank | 0.29% | 0.47% |
| No Fuel Used | 9, 1.51%, see rank | 0.30% | 1.00% |
ACS 2008-2012 data
| | 24378 Zip Code | Virginia | U.S. |
| Total Housing Units | 636, 100% | 3,006,219 | 115,226,802 |
| Utility Gas | 0, 0.00%, see rank | 34.14% | 49.42% |
| Bottled, Tank, or LP Gas | 16, 2.52%, see rank | 4.55% | 5.03% |
| Electricity | 169, 26.57%, see rank | 50.89% | 35.51% |
| Fuel Oil, Kerosene, etc. | 326, 51.26%, see rank | 7.03% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.10% | 0.12% |
| Wood | 112, 17.61%, see rank | 2.78% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
| Other Fuel | 13, 2.04%, see rank | 0.26% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.25% | 0.90% |
US Census 2000 data
| | 24378 Zip Code | Virginia | U.S. |
| Total Housing Units | 588, 100% | 2,699,173 | 105,480,101 |
| Utility Gas | 0, 0.00%, see rank | 34.05% | 51.22% |
| Bottled, Tank, or LP Gas | 87, 14.80%, see rank | 5.13% | 6.52% |
| Electricity | 131, 22.28%, see rank | 43.67% | 30.35% |
| Fuel Oil, Kerosene, etc. | 271, 46.09%, see rank | 13.43% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.21% | 0.14% |
| Wood | 88, 14.97%, see rank | 2.93% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
| Other Fuel | 11, 1.87%, see rank | 0.29% | 0.39% |
| No Fuel Used | 0, 0.00%, see rank | 0.26% | 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.
