20003 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 20003 Zip Code | District of Columbia | U.S. |
Total Housing Units | 11,605, 100% | 267,415 | 116,211,092 |
Utility Gas | 7,110, 61.27%, see rank | 59.12% | 48.85% |
Bottled, Tank, or LP Gas | 75, 0.65%, see rank | 0.93% | 4.86% |
Electricity | 4,234, 36.48%, see rank | 35.97% | 36.68% |
Fuel Oil, Kerosene, etc. | 118, 1.02%, 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 | 9, 0.08%, see rank | 0.05% | 0.05% |
Other Fuel | 14, 0.12%, see rank | 0.51% | 0.47% |
No Fuel Used | 45, 0.39%, see rank | 0.94% | 1.00% |
ACS 2008-2012 data
| 20003 Zip Code | District of Columbia | U.S. |
Total Housing Units | 11,095, 100% | 261,192 | 115,226,802 |
Utility Gas | 7,293, 65.73%, see rank | 61.97% | 49.42% |
Bottled, Tank, or LP Gas | 94, 0.85%, see rank | 0.94% | 5.03% |
Electricity | 3,536, 31.87%, see rank | 32.85% | 35.51% |
Fuel Oil, Kerosene, etc. | 146, 1.32%, 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 | 0, 0.00%, see rank | 0.52% | 0.43% |
No Fuel Used | 26, 0.23%, see rank | 0.70% | 0.90% |
US Census 2000 data
| 20003 Zip Code | District of Columbia | U.S. |
Total Housing Units | 10,195, 100% | 248,338 | 105,480,101 |
Utility Gas | 7,430, 72.88%, see rank | 65.42% | 51.22% |
Bottled, Tank, or LP Gas | 140, 1.37%, see rank | 1.78% | 6.52% |
Electricity | 2,128, 20.87%, see rank | 24.17% | 30.35% |
Fuel Oil, Kerosene, etc. | 375, 3.68%, see rank | 6.86% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.14% |
Wood | 13, 0.13%, see rank | 0.04% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 22, 0.22%, see rank | 0.69% | 0.39% |
No Fuel Used | 87, 0.85%, 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.