20198 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 20198 Zip Code | Virginia | U.S. |
| Total Housing Units | 945, 100% | 3,041,710 | 116,211,092 |
| Utility Gas | 40, 4.23%, see rank | 33.74% | 48.85% |
| Bottled, Tank, or LP Gas | 69, 7.30%, see rank | 4.51% | 4.86% |
| Electricity | 431, 45.61%, see rank | 52.28% | 36.68% |
| Fuel Oil, Kerosene, etc. | 319, 33.76%, see rank | 6.01% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.08% | 0.12% |
| Wood | 71, 7.51%, see rank | 2.76% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
| Other Fuel | 1, 0.11%, see rank | 0.29% | 0.47% |
| No Fuel Used | 14, 1.48%, see rank | 0.30% | 1.00% |
ACS 2008-2012 data
| | 20198 Zip Code | Virginia | U.S. |
| Total Housing Units | 882, 100% | 3,006,219 | 115,226,802 |
| Utility Gas | 30, 3.40%, see rank | 34.14% | 49.42% |
| Bottled, Tank, or LP Gas | 94, 10.66%, see rank | 4.55% | 5.03% |
| Electricity | 395, 44.78%, see rank | 50.89% | 35.51% |
| Fuel Oil, Kerosene, etc. | 274, 31.07%, see rank | 7.03% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.10% | 0.12% |
| Wood | 80, 9.07%, see rank | 2.78% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
| Other Fuel | 9, 1.02%, see rank | 0.26% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.25% | 0.90% |
US Census 2000 data
| | 20198 Zip Code | Virginia | U.S. |
| Total Housing Units | 868, 100% | 2,699,173 | 105,480,101 |
| Utility Gas | 13, 1.50%, see rank | 34.05% | 51.22% |
| Bottled, Tank, or LP Gas | 175, 20.16%, see rank | 5.13% | 6.52% |
| Electricity | 223, 25.69%, see rank | 43.67% | 30.35% |
| Fuel Oil, Kerosene, etc. | 394, 45.39%, see rank | 13.43% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.21% | 0.14% |
| Wood | 59, 6.80%, see rank | 2.93% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.29% | 0.39% |
| No Fuel Used | 4, 0.46%, 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.
