26508 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 26508 Zip Code | West Virginia | U.S. |
Total Housing Units | 11,549, 100% | 742,359 | 116,211,092 |
Utility Gas | 5,807, 50.28%, see rank | 41.48% | 48.85% |
Bottled, Tank, or LP Gas | 1,013, 8.77%, see rank | 4.38% | 4.86% |
Electricity | 3,570, 30.91%, see rank | 42.94% | 36.68% |
Fuel Oil, Kerosene, etc. | 415, 3.59%, see rank | 3.16% | 5.86% |
Coal or Coke | 121, 1.05%, see rank | 0.66% | 0.12% |
Wood | 529, 4.58%, see rank | 6.53% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
Other Fuel | 80, 0.69%, see rank | 0.63% | 0.47% |
No Fuel Used | 14, 0.12%, see rank | 0.19% | 1.00% |
ACS 2008-2012 data
| 26508 Zip Code | West Virginia | U.S. |
Total Housing Units | 11,095, 100% | 742,674 | 115,226,802 |
Utility Gas | 5,447, 49.09%, see rank | 42.36% | 49.42% |
Bottled, Tank, or LP Gas | 1,104, 9.95%, see rank | 4.52% | 5.03% |
Electricity | 3,301, 29.75%, see rank | 41.36% | 35.51% |
Fuel Oil, Kerosene, etc. | 637, 5.74%, see rank | 3.70% | 6.46% |
Coal or Coke | 79, 0.71%, see rank | 0.75% | 0.12% |
Wood | 468, 4.22%, see rank | 6.52% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
Other Fuel | 50, 0.45%, see rank | 0.62% | 0.43% |
No Fuel Used | 9, 0.08%, see rank | 0.14% | 0.90% |
US Census 2000 data
| 26508 Zip Code | West Virginia | U.S. |
Total Housing Units | 8,631, 100% | 736,481 | 105,480,101 |
Utility Gas | 4,166, 48.27%, see rank | 47.78% | 51.22% |
Bottled, Tank, or LP Gas | 1,046, 12.12%, see rank | 5.64% | 6.52% |
Electricity | 1,972, 22.85%, see rank | 32.16% | 30.35% |
Fuel Oil, Kerosene, etc. | 824, 9.55%, see rank | 6.75% | 8.97% |
Coal or Coke | 52, 0.60%, see rank | 1.13% | 0.14% |
Wood | 521, 6.04%, see rank | 5.92% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 44, 0.51%, see rank | 0.46% | 0.39% |
No Fuel Used | 6, 0.07%, 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.