23228 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 23228 Zip Code | Virginia | U.S. |
Total Housing Units | 14,683, 100% | 3,041,710 | 116,211,092 |
Utility Gas | 3,576, 24.35%, see rank | 33.74% | 48.85% |
Bottled, Tank, or LP Gas | 133, 0.91%, see rank | 4.51% | 4.86% |
Electricity | 8,705, 59.29%, see rank | 52.28% | 36.68% |
Fuel Oil, Kerosene, etc. | 2,096, 14.28%, see rank | 6.01% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.08% | 0.12% |
Wood | 115, 0.78%, see rank | 2.76% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
Other Fuel | 16, 0.11%, see rank | 0.29% | 0.47% |
No Fuel Used | 42, 0.29%, see rank | 0.30% | 1.00% |
ACS 2008-2012 data
| 23228 Zip Code | Virginia | U.S. |
Total Housing Units | 14,549, 100% | 3,006,219 | 115,226,802 |
Utility Gas | 3,544, 24.36%, see rank | 34.14% | 49.42% |
Bottled, Tank, or LP Gas | 179, 1.23%, see rank | 4.55% | 5.03% |
Electricity | 8,145, 55.98%, see rank | 50.89% | 35.51% |
Fuel Oil, Kerosene, etc. | 2,572, 17.68%, see rank | 7.03% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.10% | 0.12% |
Wood | 76, 0.52%, see rank | 2.78% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 0, 0.00%, see rank | 0.26% | 0.43% |
No Fuel Used | 33, 0.23%, see rank | 0.25% | 0.90% |
US Census 2000 data
| 23228 Zip Code | Virginia | U.S. |
Total Housing Units | 14,522, 100% | 2,699,173 | 105,480,101 |
Utility Gas | 3,910, 26.92%, see rank | 34.05% | 51.22% |
Bottled, Tank, or LP Gas | 293, 2.02%, see rank | 5.13% | 6.52% |
Electricity | 6,223, 42.85%, see rank | 43.67% | 30.35% |
Fuel Oil, Kerosene, etc. | 3,916, 26.97%, see rank | 13.43% | 8.97% |
Coal or Coke | 7, 0.05%, see rank | 0.21% | 0.14% |
Wood | 84, 0.58%, see rank | 2.93% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
Other Fuel | 9, 0.06%, see rank | 0.29% | 0.39% |
No Fuel Used | 80, 0.55%, 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.