20015 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 20015 Zip Code | District of Columbia | U.S. |
Total Housing Units | 6,358, 100% | 267,415 | 116,211,092 |
Utility Gas | 4,828, 75.94%, see rank | 59.12% | 48.85% |
Bottled, Tank, or LP Gas | 28, 0.44%, see rank | 0.93% | 4.86% |
Electricity | 1,218, 19.16%, see rank | 35.97% | 36.68% |
Fuel Oil, Kerosene, etc. | 225, 3.54%, 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 | 14, 0.22%, see rank | 0.05% | 0.05% |
Other Fuel | 31, 0.49%, see rank | 0.51% | 0.47% |
No Fuel Used | 14, 0.22%, see rank | 0.94% | 1.00% |
ACS 2008-2012 data
| 20015 Zip Code | District of Columbia | U.S. |
Total Housing Units | 6,363, 100% | 261,192 | 115,226,802 |
Utility Gas | 4,948, 77.76%, see rank | 61.97% | 49.42% |
Bottled, Tank, or LP Gas | 42, 0.66%, see rank | 0.94% | 5.03% |
Electricity | 1,097, 17.24%, see rank | 32.85% | 35.51% |
Fuel Oil, Kerosene, etc. | 224, 3.52%, 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 | 35, 0.55%, see rank | 0.52% | 0.43% |
No Fuel Used | 17, 0.27%, see rank | 0.70% | 0.90% |
US Census 2000 data
| 20015 Zip Code | District of Columbia | U.S. |
Total Housing Units | 6,037, 100% | 248,338 | 105,480,101 |
Utility Gas | 4,997, 82.77%, see rank | 65.42% | 51.22% |
Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 1.78% | 6.52% |
Electricity | 503, 8.33%, see rank | 24.17% | 30.35% |
Fuel Oil, Kerosene, etc. | 480, 7.95%, see rank | 6.86% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.14% |
Wood | 0, 0.00%, see rank | 0.04% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 41, 0.68%, see rank | 0.69% | 0.39% |
No Fuel Used | 16, 0.27%, 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.