Alexander City Micro Area Historical Type of Heating Fuel in a House Data
ACS 2008-2012 data
| Alexander City Area | Alabama | U.S. |
Total Housing Units | 20,912, 100% | 1,837,576 | 115,226,802 |
Utility Gas | 3,151, 15.07%, see rank | 30.54% | 49.42% |
Bottled, Tank, or LP Gas | 4,103, 19.62%, see rank | 8.07% | 5.03% |
Electricity | 12,969, 62.02%, see rank | 59.62% | 35.51% |
Fuel Oil, Kerosene, etc. | 72, 0.34%, see rank | 0.25% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 558, 2.67%, see rank | 1.18% | 2.08% |
Solar Energy | 12, 0.06%, see rank | 0.00% | 0.04% |
Other Fuel | 36, 0.17%, see rank | 0.08% | 0.43% |
No Fuel Used | 11, 0.05%, see rank | 0.23% | 0.90% |
ACS 2006-2010 data
| Alexander City Area | Alabama | U.S. |
Total Housing Units | 20,843, 100% | 1,821,210 | 114,235,996 |
Utility Gas | 3,399, 16.31%, see rank | 32.56% | 49.91% |
Bottled, Tank, or LP Gas | 4,304, 20.65%, see rank | 9.21% | 5.38% |
Electricity | 12,363, 59.31%, see rank | 56.48% | 34.20% |
Fuel Oil, Kerosene, etc. | 98, 0.47%, see rank | 0.29% | 7.07% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 581, 2.79%, see rank | 1.13% | 1.97% |
Solar Energy | 10, 0.05%, see rank | 0.01% | 0.03% |
Other Fuel | 35, 0.17%, see rank | 0.08% | 0.42% |
No Fuel Used | 53, 0.25%, see rank | 0.23% | 0.90% |
ACS 2005-2009 data
| Alexander City Area | Alabama | U.S. |
Total Housing Units | 20,511, 100% | 1,819,441 | 112,611,029 |
Utility Gas | 3,726, 18.17%, see rank | 33.75% | 50.14% |
Bottled, Tank, or LP Gas | 4,603, 22.44%, see rank | 9.93% | 5.58% |
Electricity | 11,475, 55.95%, see rank | 54.56% | 33.56% |
Fuel Oil, Kerosene, etc. | 105, 0.51%, see rank | 0.31% | 7.38% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.12% |
Wood | 510, 2.49%, see rank | 1.09% | 1.89% |
Solar Energy | 8, 0.04%, see rank | 0.01% | 0.03% |
Other Fuel | 34, 0.17%, see rank | 0.07% | 0.42% |
No Fuel Used | 50, 0.24%, see rank | 0.25% | 0.88% |
* 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.