Shelby, AL Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Shelby, AL | Alabama | U.S. |
| Total Housing Units | 473, 100% | 1,842,174 | 116,211,092 |
| Utility Gas | 52, 10.99%, see rank | 29.16% | 48.85% |
| Bottled, Tank, or LP Gas | 80, 16.91%, see rank | 7.18% | 4.86% |
| Electricity | 306, 64.69%, 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 | 35, 7.40%, 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
| | Shelby, AL | Alabama | U.S. |
| Total Housing Units | 516, 100% | 1,837,576 | 115,226,802 |
| Utility Gas | 34, 6.59%, see rank | 30.54% | 49.42% |
| Bottled, Tank, or LP Gas | 64, 12.40%, see rank | 8.07% | 5.03% |
| Electricity | 390, 75.58%, 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, 2.33%, see rank | 1.18% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.00% | 0.04% |
| Other Fuel | 16, 3.10%, see rank | 0.08% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.23% | 0.90% |
ACS 2006-2010 data
| | Shelby, AL | Alabama | U.S. |
| Total Housing Units | 483, 100% | 1,821,210 | 114,235,996 |
| Utility Gas | 46, 9.52%, see rank | 32.56% | 49.91% |
| Bottled, Tank, or LP Gas | 75, 15.53%, see rank | 9.21% | 5.38% |
| Electricity | 342, 70.81%, see rank | 56.48% | 34.20% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.29% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 0, 0.00%, see rank | 1.13% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Fuel | 20, 4.14%, see rank | 0.08% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 0.23% | 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.
