20004 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 20004 Zip Code | District of Columbia | U.S. |
| Total Housing Units | 1,135, 100% | 267,415 | 116,211,092 |
| Utility Gas | 214, 18.85%, see rank | 59.12% | 48.85% |
| Bottled, Tank, or LP Gas | 9, 0.79%, see rank | 0.93% | 4.86% |
| Electricity | 885, 77.97%, see rank | 35.97% | 36.68% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 2.45% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.12% |
| Wood | 0, 0.00%, see rank | 0.01% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.05% | 0.05% |
| Other Fuel | 5, 0.44%, see rank | 0.51% | 0.47% |
| No Fuel Used | 22, 1.94%, see rank | 0.94% | 1.00% |
ACS 2008-2012 data
| | 20004 Zip Code | District of Columbia | U.S. |
| Total Housing Units | 1,102, 100% | 261,192 | 115,226,802 |
| Utility Gas | 206, 18.69%, see rank | 61.97% | 49.42% |
| Bottled, Tank, or LP Gas | 5, 0.45%, see rank | 0.94% | 5.03% |
| Electricity | 853, 77.40%, see rank | 32.85% | 35.51% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 2.97% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.12% |
| Wood | 0, 0.00%, see rank | 0.02% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
| Other Fuel | 15, 1.36%, see rank | 0.52% | 0.43% |
| No Fuel Used | 23, 2.09%, see rank | 0.70% | 0.90% |
US Census 2000 data
| | 20004 Zip Code | District of Columbia | U.S. |
| Total Housing Units | 574, 100% | 248,338 | 105,480,101 |
| Utility Gas | 63, 10.98%, see rank | 65.42% | 51.22% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 1.78% | 6.52% |
| Electricity | 463, 80.66%, see rank | 24.17% | 30.35% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 6.86% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.14% |
| Wood | 25, 4.36%, see rank | 0.04% | 1.68% |
| Solar Energy | 23, 4.01%, see rank | 0.02% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.69% | 0.39% |
| No Fuel Used | 0, 0.00%, see rank | 1.00% | 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.
