23454 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 23454 Zip Code | Virginia | U.S. |
Total Housing Units | 22,485, 100% | 3,041,710 | 116,211,092 |
Utility Gas | 8,603, 38.26%, see rank | 33.74% | 48.85% |
Bottled, Tank, or LP Gas | 190, 0.85%, see rank | 4.51% | 4.86% |
Electricity | 12,764, 56.77%, see rank | 52.28% | 36.68% |
Fuel Oil, Kerosene, etc. | 689, 3.06%, see rank | 6.01% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.08% | 0.12% |
Wood | 94, 0.42%, see rank | 2.76% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
Other Fuel | 57, 0.25%, see rank | 0.29% | 0.47% |
No Fuel Used | 88, 0.39%, see rank | 0.30% | 1.00% |
ACS 2008-2012 data
| 23454 Zip Code | Virginia | U.S. |
Total Housing Units | 22,853, 100% | 3,006,219 | 115,226,802 |
Utility Gas | 8,381, 36.67%, see rank | 34.14% | 49.42% |
Bottled, Tank, or LP Gas | 258, 1.13%, see rank | 4.55% | 5.03% |
Electricity | 13,181, 57.68%, see rank | 50.89% | 35.51% |
Fuel Oil, Kerosene, etc. | 868, 3.80%, see rank | 7.03% | 6.46% |
Coal or Coke | 16, 0.07%, see rank | 0.10% | 0.12% |
Wood | 54, 0.24%, see rank | 2.78% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 21, 0.09%, see rank | 0.26% | 0.43% |
No Fuel Used | 74, 0.32%, see rank | 0.25% | 0.90% |
US Census 2000 data
| 23454 Zip Code | Virginia | U.S. |
Total Housing Units | 22,568, 100% | 2,699,173 | 105,480,101 |
Utility Gas | 8,219, 36.42%, see rank | 34.05% | 51.22% |
Bottled, Tank, or LP Gas | 354, 1.57%, see rank | 5.13% | 6.52% |
Electricity | 12,169, 53.92%, see rank | 43.67% | 30.35% |
Fuel Oil, Kerosene, etc. | 1,612, 7.14%, see rank | 13.43% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.21% | 0.14% |
Wood | 69, 0.31%, see rank | 2.93% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
Other Fuel | 48, 0.21%, see rank | 0.29% | 0.39% |
No Fuel Used | 97, 0.43%, 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.