22603 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 22603 Zip Code | Virginia | U.S. |
Total Housing Units | 5,431, 100% | 3,041,710 | 116,211,092 |
Utility Gas | 819, 15.08%, see rank | 33.74% | 48.85% |
Bottled, Tank, or LP Gas | 690, 12.70%, see rank | 4.51% | 4.86% |
Electricity | 2,847, 52.42%, see rank | 52.28% | 36.68% |
Fuel Oil, Kerosene, etc. | 413, 7.60%, see rank | 6.01% | 5.86% |
Coal or Coke | 18, 0.33%, see rank | 0.08% | 0.12% |
Wood | 591, 10.88%, see rank | 2.76% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
Other Fuel | 32, 0.59%, see rank | 0.29% | 0.47% |
No Fuel Used | 21, 0.39%, see rank | 0.30% | 1.00% |
ACS 2008-2012 data
| 22603 Zip Code | Virginia | U.S. |
Total Housing Units | 5,279, 100% | 3,006,219 | 115,226,802 |
Utility Gas | 687, 13.01%, see rank | 34.14% | 49.42% |
Bottled, Tank, or LP Gas | 617, 11.69%, see rank | 4.55% | 5.03% |
Electricity | 2,759, 52.26%, see rank | 50.89% | 35.51% |
Fuel Oil, Kerosene, etc. | 547, 10.36%, see rank | 7.03% | 6.46% |
Coal or Coke | 16, 0.30%, see rank | 0.10% | 0.12% |
Wood | 601, 11.38%, see rank | 2.78% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 34, 0.64%, see rank | 0.26% | 0.43% |
No Fuel Used | 18, 0.34%, see rank | 0.25% | 0.90% |
US Census 2000 data
| 22603 Zip Code | Virginia | U.S. |
Total Housing Units | 4,435, 100% | 2,699,173 | 105,480,101 |
Utility Gas | 584, 13.17%, see rank | 34.05% | 51.22% |
Bottled, Tank, or LP Gas | 570, 12.85%, see rank | 5.13% | 6.52% |
Electricity | 1,601, 36.10%, see rank | 43.67% | 30.35% |
Fuel Oil, Kerosene, etc. | 1,047, 23.61%, see rank | 13.43% | 8.97% |
Coal or Coke | 22, 0.50%, see rank | 0.21% | 0.14% |
Wood | 601, 13.55%, see rank | 2.93% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
Other Fuel | 5, 0.11%, see rank | 0.29% | 0.39% |
No Fuel Used | 5, 0.11%, see rank | 0.26% | 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.