20020 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 20020 Zip Code | District of Columbia | U.S. |
Total Housing Units | 20,277, 100% | 267,415 | 116,211,092 |
Utility Gas | 11,360, 56.02%, see rank | 59.12% | 48.85% |
Bottled, Tank, or LP Gas | 182, 0.90%, see rank | 0.93% | 4.86% |
Electricity | 8,115, 40.02%, see rank | 35.97% | 36.68% |
Fuel Oil, Kerosene, etc. | 376, 1.85%, see rank | 2.45% | 5.86% |
Coal or Coke | 11, 0.05%, see rank | 0.02% | 0.12% |
Wood | 0, 0.00%, see rank | 0.01% | 2.12% |
Solar Energy | 8, 0.04%, see rank | 0.05% | 0.05% |
Other Fuel | 66, 0.33%, see rank | 0.51% | 0.47% |
No Fuel Used | 159, 0.78%, see rank | 0.94% | 1.00% |
ACS 2008-2012 data
| 20020 Zip Code | District of Columbia | U.S. |
Total Housing Units | 20,338, 100% | 261,192 | 115,226,802 |
Utility Gas | 11,415, 56.13%, see rank | 61.97% | 49.42% |
Bottled, Tank, or LP Gas | 225, 1.11%, see rank | 0.94% | 5.03% |
Electricity | 8,089, 39.77%, see rank | 32.85% | 35.51% |
Fuel Oil, Kerosene, etc. | 383, 1.88%, see rank | 2.97% | 6.46% |
Coal or Coke | 36, 0.18%, 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 | 44, 0.22%, see rank | 0.52% | 0.43% |
No Fuel Used | 146, 0.72%, see rank | 0.70% | 0.90% |
US Census 2000 data
| 20020 Zip Code | District of Columbia | U.S. |
Total Housing Units | 19,426, 100% | 248,338 | 105,480,101 |
Utility Gas | 12,626, 65.00%, see rank | 65.42% | 51.22% |
Bottled, Tank, or LP Gas | 470, 2.42%, see rank | 1.78% | 6.52% |
Electricity | 4,807, 24.75%, see rank | 24.17% | 30.35% |
Fuel Oil, Kerosene, etc. | 1,077, 5.54%, see rank | 6.86% | 8.97% |
Coal or Coke | 14, 0.07%, see rank | 0.03% | 0.14% |
Wood | 0, 0.00%, see rank | 0.04% | 1.68% |
Solar Energy | 7, 0.04%, see rank | 0.02% | 0.04% |
Other Fuel | 193, 0.99%, see rank | 0.69% | 0.39% |
No Fuel Used | 232, 1.19%, 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.