Redland, TX Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Redland, TX | Texas | U.S. |
| Total Housing Units | 397, 100% | 9,013,582 | 116,211,092 |
| Utility Gas | 129, 32.49%, see rank | 37.22% | 48.85% |
| Bottled, Tank, or LP Gas | 34, 8.56%, see rank | 3.42% | 4.86% |
| Electricity | 216, 54.41%, 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 | 18, 4.53%, see rank | 0.43% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.16% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.44% | 1.00% |
ACS 2008-2012 data
| | Redland, TX | Texas | U.S. |
| Total Housing Units | 386, 100% | 8,782,598 | 115,226,802 |
| Utility Gas | 116, 30.05%, see rank | 38.12% | 49.42% |
| Bottled, Tank, or LP Gas | 42, 10.88%, see rank | 3.71% | 5.03% |
| Electricity | 228, 59.07%, 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 | 0, 0.00%, see rank | 0.17% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.41% | 0.90% |
ACS 2006-2010 data
| | Redland, TX | Texas | U.S. |
| Total Housing Units | 452, 100% | 8,539,206 | 114,235,996 |
| Utility Gas | 155, 34.29%, see rank | 39.12% | 49.91% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 4.11% | 5.38% |
| Electricity | 285, 63.05%, see rank | 55.55% | 34.20% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.13% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.00% | 0.12% |
| Wood | 12, 2.65%, see rank | 0.47% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Fuel | 0, 0.00%, see rank | 0.17% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 0.43% | 0.90% |
* 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.
