35133 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 35133 Zip Code | Alabama | U.S. |
| Total Housing Units | 1,298, 100% | 1,842,174 | 116,211,092 |
| Utility Gas | 89, 6.86%, see rank | 29.16% | 48.85% |
| Bottled, Tank, or LP Gas | 96, 7.40%, see rank | 7.18% | 4.86% |
| Electricity | 1,034, 79.66%, see rank | 61.92% | 36.68% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.21% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 10, 0.77%, 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 | 69, 5.32%, see rank | 0.31% | 1.00% |
ACS 2008-2012 data
| | 35133 Zip Code | Alabama | U.S. |
| Total Housing Units | 1,432, 100% | 1,837,576 | 115,226,802 |
| Utility Gas | 73, 5.10%, see rank | 30.54% | 49.42% |
| Bottled, Tank, or LP Gas | 165, 11.52%, see rank | 8.07% | 5.03% |
| Electricity | 1,109, 77.44%, 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 | 12, 0.84%, 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 | 73, 5.10%, see rank | 0.23% | 0.90% |
US Census 2000 data
| | 35133 Zip Code | Alabama | U.S. |
| Total Housing Units | 1,598, 100% | 1,737,080 | 105,480,101 |
| Utility Gas | 203, 12.70%, see rank | 38.05% | 51.22% |
| Bottled, Tank, or LP Gas | 372, 23.28%, see rank | 14.03% | 6.52% |
| Electricity | 943, 59.01%, see rank | 45.97% | 30.35% |
| Fuel Oil, Kerosene, etc. | 25, 1.56%, see rank | 0.42% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.14% |
| Wood | 41, 2.57%, 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 | 14, 0.88%, 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.
