35160 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 35160 Zip Code | Alabama | U.S. |
Total Housing Units | 9,639, 100% | 1,842,174 | 116,211,092 |
Utility Gas | 2,510, 26.04%, see rank | 29.16% | 48.85% |
Bottled, Tank, or LP Gas | 1,029, 10.68%, see rank | 7.18% | 4.86% |
Electricity | 5,917, 61.39%, see rank | 61.92% | 36.68% |
Fuel Oil, Kerosene, etc. | 46, 0.48%, see rank | 0.21% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 122, 1.27%, see rank | 1.11% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.05% |
Other Fuel | 2, 0.02%, see rank | 0.09% | 0.47% |
No Fuel Used | 13, 0.13%, see rank | 0.31% | 1.00% |
ACS 2008-2012 data
| 35160 Zip Code | Alabama | U.S. |
Total Housing Units | 9,654, 100% | 1,837,576 | 115,226,802 |
Utility Gas | 2,924, 30.29%, see rank | 30.54% | 49.42% |
Bottled, Tank, or LP Gas | 1,252, 12.97%, see rank | 8.07% | 5.03% |
Electricity | 5,303, 54.93%, see rank | 59.62% | 35.51% |
Fuel Oil, Kerosene, etc. | 62, 0.64%, see rank | 0.25% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 105, 1.09%, 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 | 8, 0.08%, see rank | 0.23% | 0.90% |
US Census 2000 data
| 35160 Zip Code | Alabama | U.S. |
Total Housing Units | 10,194, 100% | 1,737,080 | 105,480,101 |
Utility Gas | 4,273, 41.92%, see rank | 38.05% | 51.22% |
Bottled, Tank, or LP Gas | 2,215, 21.73%, see rank | 14.03% | 6.52% |
Electricity | 3,430, 33.65%, see rank | 45.97% | 30.35% |
Fuel Oil, Kerosene, etc. | 38, 0.37%, see rank | 0.42% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.14% |
Wood | 181, 1.78%, see rank | 1.13% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 30, 0.29%, see rank | 0.10% | 0.39% |
No Fuel Used | 27, 0.26%, 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.