78839 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 78839 Zip Code | Texas | U.S. |
| Total Housing Units | 2,564, 100% | 9,013,582 | 116,211,092 |
| Utility Gas | 82, 3.20%, see rank | 37.22% | 48.85% |
| Bottled, Tank, or LP Gas | 443, 17.28%, see rank | 3.42% | 4.86% |
| Electricity | 1,962, 76.52%, see rank | 58.19% | 36.68% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.12% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 27, 1.05%, see rank | 0.43% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.05% |
| Other Fuel | 20, 0.78%, see rank | 0.16% | 0.47% |
| No Fuel Used | 30, 1.17%, see rank | 0.44% | 1.00% |
ACS 2008-2012 data
| | 78839 Zip Code | Texas | U.S. |
| Total Housing Units | 2,585, 100% | 8,782,598 | 115,226,802 |
| Utility Gas | 106, 4.10%, see rank | 38.12% | 49.42% |
| Bottled, Tank, or LP Gas | 338, 13.08%, see rank | 3.71% | 5.03% |
| Electricity | 2,090, 80.85%, see rank | 56.98% | 35.51% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.13% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.00% | 0.12% |
| Wood | 13, 0.50%, see rank | 0.46% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
| Other Fuel | 10, 0.39%, see rank | 0.17% | 0.43% |
| No Fuel Used | 28, 1.08%, see rank | 0.41% | 0.90% |
US Census 2000 data
| | 78839 Zip Code | Texas | U.S. |
| Total Housing Units | 2,506, 100% | 7,393,354 | 105,480,101 |
| Utility Gas | 55, 2.19%, see rank | 43.18% | 51.22% |
| Bottled, Tank, or LP Gas | 1,003, 40.02%, see rank | 6.35% | 6.52% |
| Electricity | 1,373, 54.79%, see rank | 49.38% | 30.35% |
| Fuel Oil, Kerosene, etc. | 32, 1.28%, see rank | 0.07% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.00% | 0.14% |
| Wood | 19, 0.76%, see rank | 0.43% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 17, 0.68%, see rank | 0.13% | 0.39% |
| No Fuel Used | 7, 0.28%, see rank | 0.42% | 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.
