26241 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 26241 Zip Code | West Virginia | U.S. |
Total Housing Units | 6,023, 100% | 742,359 | 116,211,092 |
Utility Gas | 2,908, 48.28%, see rank | 41.48% | 48.85% |
Bottled, Tank, or LP Gas | 419, 6.96%, see rank | 4.38% | 4.86% |
Electricity | 2,084, 34.60%, see rank | 42.94% | 36.68% |
Fuel Oil, Kerosene, etc. | 31, 0.51%, see rank | 3.16% | 5.86% |
Coal or Coke | 11, 0.18%, see rank | 0.66% | 0.12% |
Wood | 443, 7.36%, see rank | 6.53% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
Other Fuel | 112, 1.86%, see rank | 0.63% | 0.47% |
No Fuel Used | 15, 0.25%, see rank | 0.19% | 1.00% |
ACS 2008-2012 data
| 26241 Zip Code | West Virginia | U.S. |
Total Housing Units | 5,735, 100% | 742,674 | 115,226,802 |
Utility Gas | 2,819, 49.15%, see rank | 42.36% | 49.42% |
Bottled, Tank, or LP Gas | 390, 6.80%, see rank | 4.52% | 5.03% |
Electricity | 1,878, 32.75%, see rank | 41.36% | 35.51% |
Fuel Oil, Kerosene, etc. | 94, 1.64%, see rank | 3.70% | 6.46% |
Coal or Coke | 9, 0.16%, see rank | 0.75% | 0.12% |
Wood | 467, 8.14%, see rank | 6.52% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
Other Fuel | 78, 1.36%, see rank | 0.62% | 0.43% |
No Fuel Used | 0, 0.00%, see rank | 0.14% | 0.90% |
US Census 2000 data
| 26241 Zip Code | West Virginia | U.S. |
Total Housing Units | 5,859, 100% | 736,481 | 105,480,101 |
Utility Gas | 2,887, 49.27%, see rank | 47.78% | 51.22% |
Bottled, Tank, or LP Gas | 359, 6.13%, see rank | 5.64% | 6.52% |
Electricity | 1,719, 29.34%, see rank | 32.16% | 30.35% |
Fuel Oil, Kerosene, etc. | 188, 3.21%, see rank | 6.75% | 8.97% |
Coal or Coke | 25, 0.43%, see rank | 1.13% | 0.14% |
Wood | 647, 11.04%, see rank | 5.92% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 28, 0.48%, see rank | 0.46% | 0.39% |
No Fuel Used | 6, 0.10%, 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.