20018 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 20018 Zip Code | District of Columbia | U.S. |
Total Housing Units | 7,382, 100% | 267,415 | 116,211,092 |
Utility Gas | 4,665, 63.19%, see rank | 59.12% | 48.85% |
Bottled, Tank, or LP Gas | 66, 0.89%, see rank | 0.93% | 4.86% |
Electricity | 2,438, 33.03%, see rank | 35.97% | 36.68% |
Fuel Oil, Kerosene, etc. | 143, 1.94%, 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 | 9, 0.12%, see rank | 0.51% | 0.47% |
No Fuel Used | 61, 0.83%, see rank | 0.94% | 1.00% |
ACS 2008-2012 data
| 20018 Zip Code | District of Columbia | U.S. |
Total Housing Units | 7,232, 100% | 261,192 | 115,226,802 |
Utility Gas | 4,802, 66.40%, see rank | 61.97% | 49.42% |
Bottled, Tank, or LP Gas | 56, 0.77%, see rank | 0.94% | 5.03% |
Electricity | 2,063, 28.53%, see rank | 32.85% | 35.51% |
Fuel Oil, Kerosene, etc. | 237, 3.28%, see rank | 2.97% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.12% |
Wood | 26, 0.36%, see rank | 0.02% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 12, 0.17%, see rank | 0.52% | 0.43% |
No Fuel Used | 36, 0.50%, see rank | 0.70% | 0.90% |
US Census 2000 data
| 20018 Zip Code | District of Columbia | U.S. |
Total Housing Units | 6,931, 100% | 248,338 | 105,480,101 |
Utility Gas | 4,654, 67.15%, see rank | 65.42% | 51.22% |
Bottled, Tank, or LP Gas | 58, 0.84%, see rank | 1.78% | 6.52% |
Electricity | 1,647, 23.76%, see rank | 24.17% | 30.35% |
Fuel Oil, Kerosene, etc. | 373, 5.38%, see rank | 6.86% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.14% |
Wood | 7, 0.10%, see rank | 0.04% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 24, 0.35%, see rank | 0.69% | 0.39% |
No Fuel Used | 168, 2.42%, 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.