20136 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 20136 Zip Code | Virginia | U.S. |
| Total Housing Units | 8,892, 100% | 3,041,710 | 116,211,092 |
| Utility Gas | 7,833, 88.09%, see rank | 33.74% | 48.85% |
| Bottled, Tank, or LP Gas | 64, 0.72%, see rank | 4.51% | 4.86% |
| Electricity | 951, 10.70%, see rank | 52.28% | 36.68% |
| Fuel Oil, Kerosene, etc. | 34, 0.38%, see rank | 6.01% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.08% | 0.12% |
| Wood | 10, 0.11%, 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
| | 20136 Zip Code | Virginia | U.S. |
| Total Housing Units | 8,285, 100% | 3,006,219 | 115,226,802 |
| Utility Gas | 7,425, 89.62%, see rank | 34.14% | 49.42% |
| Bottled, Tank, or LP Gas | 31, 0.37%, see rank | 4.55% | 5.03% |
| Electricity | 776, 9.37%, see rank | 50.89% | 35.51% |
| Fuel Oil, Kerosene, etc. | 53, 0.64%, 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% |
US Census 2000 data
| | 20136 Zip Code | Virginia | U.S. |
| Total Housing Units | 2,843, 100% | 2,699,173 | 105,480,101 |
| Utility Gas | 2,536, 89.20%, see rank | 34.05% | 51.22% |
| Bottled, Tank, or LP Gas | 8, 0.28%, see rank | 5.13% | 6.52% |
| Electricity | 164, 5.77%, see rank | 43.67% | 30.35% |
| Fuel Oil, Kerosene, etc. | 126, 4.43%, see rank | 13.43% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.21% | 0.14% |
| Wood | 9, 0.32%, 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 | 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.
