24701 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 24701 Zip Code | West Virginia | U.S. |
Total Housing Units | 8,805, 100% | 742,359 | 116,211,092 |
Utility Gas | 2,305, 26.18%, see rank | 41.48% | 48.85% |
Bottled, Tank, or LP Gas | 204, 2.32%, see rank | 4.38% | 4.86% |
Electricity | 5,513, 62.61%, see rank | 42.94% | 36.68% |
Fuel Oil, Kerosene, etc. | 470, 5.34%, see rank | 3.16% | 5.86% |
Coal or Coke | 45, 0.51%, see rank | 0.66% | 0.12% |
Wood | 230, 2.61%, see rank | 6.53% | 2.12% |
Solar Energy | 7, 0.08%, see rank | 0.03% | 0.05% |
Other Fuel | 11, 0.12%, see rank | 0.63% | 0.47% |
No Fuel Used | 20, 0.23%, see rank | 0.19% | 1.00% |
ACS 2008-2012 data
| 24701 Zip Code | West Virginia | U.S. |
Total Housing Units | 8,982, 100% | 742,674 | 115,226,802 |
Utility Gas | 2,371, 26.40%, see rank | 42.36% | 49.42% |
Bottled, Tank, or LP Gas | 201, 2.24%, see rank | 4.52% | 5.03% |
Electricity | 5,397, 60.09%, see rank | 41.36% | 35.51% |
Fuel Oil, Kerosene, etc. | 677, 7.54%, see rank | 3.70% | 6.46% |
Coal or Coke | 45, 0.50%, see rank | 0.75% | 0.12% |
Wood | 218, 2.43%, see rank | 6.52% | 2.08% |
Solar Energy | 14, 0.16%, see rank | 0.03% | 0.04% |
Other Fuel | 11, 0.12%, see rank | 0.62% | 0.43% |
No Fuel Used | 48, 0.53%, see rank | 0.14% | 0.90% |
US Census 2000 data
| 24701 Zip Code | West Virginia | U.S. |
Total Housing Units | 9,155, 100% | 736,481 | 105,480,101 |
Utility Gas | 3,293, 35.97%, see rank | 47.78% | 51.22% |
Bottled, Tank, or LP Gas | 287, 3.13%, see rank | 5.64% | 6.52% |
Electricity | 4,023, 43.94%, see rank | 32.16% | 30.35% |
Fuel Oil, Kerosene, etc. | 1,126, 12.30%, see rank | 6.75% | 8.97% |
Coal or Coke | 193, 2.11%, see rank | 1.13% | 0.14% |
Wood | 211, 2.30%, see rank | 5.92% | 1.68% |
Solar Energy | 7, 0.08%, see rank | 0.02% | 0.04% |
Other Fuel | 8, 0.09%, see rank | 0.46% | 0.39% |
No Fuel Used | 7, 0.08%, see rank | 0.15% | 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.