78019 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 78019 Zip Code | Texas | U.S. |
| Total Housing Units | 397, 100% | 9,013,582 | 116,211,092 |
| Utility Gas | 6, 1.51%, see rank | 37.22% | 48.85% |
| Bottled, Tank, or LP Gas | 31, 7.81%, see rank | 3.42% | 4.86% |
| Electricity | 343, 86.40%, see rank | 58.19% | 36.68% |
| Fuel Oil, Kerosene, etc. | 2, 0.50%, see rank | 0.12% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 12, 3.02%, see rank | 0.43% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.05% |
| Other Fuel | 3, 0.76%, see rank | 0.16% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.44% | 1.00% |
ACS 2008-2012 data
| | 78019 Zip Code | Texas | U.S. |
| Total Housing Units | 478, 100% | 8,782,598 | 115,226,802 |
| Utility Gas | 47, 9.83%, see rank | 38.12% | 49.42% |
| Bottled, Tank, or LP Gas | 46, 9.62%, see rank | 3.71% | 5.03% |
| Electricity | 357, 74.69%, 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 | 0, 0.00%, see rank | 0.46% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
| Other Fuel | 28, 5.86%, see rank | 0.17% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.41% | 0.90% |
US Census 2000 data
| | 78019 Zip Code | Texas | U.S. |
| Total Housing Units | 281, 100% | 7,393,354 | 105,480,101 |
| Utility Gas | 10, 3.56%, see rank | 43.18% | 51.22% |
| Bottled, Tank, or LP Gas | 138, 49.11%, see rank | 6.35% | 6.52% |
| Electricity | 128, 45.55%, see rank | 49.38% | 30.35% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.07% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.00% | 0.14% |
| Wood | 4, 1.42%, see rank | 0.43% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 1, 0.36%, see rank | 0.13% | 0.39% |
| No Fuel Used | 0, 0.00%, 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.
