35973 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 35973 Zip Code | Alabama | U.S. |
| Total Housing Units | 1,523, 100% | 1,842,174 | 116,211,092 |
| Utility Gas | 58, 3.81%, see rank | 29.16% | 48.85% |
| Bottled, Tank, or LP Gas | 680, 44.65%, see rank | 7.18% | 4.86% |
| Electricity | 692, 45.44%, see rank | 61.92% | 36.68% |
| Fuel Oil, Kerosene, etc. | 2, 0.13%, see rank | 0.21% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 91, 5.98%, see rank | 1.11% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.09% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.31% | 1.00% |
ACS 2008-2012 data
| | 35973 Zip Code | Alabama | U.S. |
| Total Housing Units | 1,549, 100% | 1,837,576 | 115,226,802 |
| Utility Gas | 32, 2.07%, see rank | 30.54% | 49.42% |
| Bottled, Tank, or LP Gas | 700, 45.19%, see rank | 8.07% | 5.03% |
| Electricity | 647, 41.77%, see rank | 59.62% | 35.51% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.25% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 170, 10.97%, see rank | 1.18% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.00% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.08% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.23% | 0.90% |
US Census 2000 data
| | 35973 Zip Code | Alabama | U.S. |
| Total Housing Units | 1,265, 100% | 1,737,080 | 105,480,101 |
| Utility Gas | 101, 7.98%, see rank | 38.05% | 51.22% |
| Bottled, Tank, or LP Gas | 704, 55.65%, see rank | 14.03% | 6.52% |
| Electricity | 394, 31.15%, see rank | 45.97% | 30.35% |
| Fuel Oil, Kerosene, etc. | 10, 0.79%, see rank | 0.42% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.14% |
| Wood | 56, 4.43%, see rank | 1.13% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.10% | 0.39% |
| No Fuel Used | 0, 0.00%, see rank | 0.25% | 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.
