Tuskegee Micro Area Historical Type of Heating Fuel in a House Data
ACS 2008-2012 data
| Tuskegee Area | Alabama | U.S. |
Total Housing Units | 8,094, 100% | 1,837,576 | 115,226,802 |
Utility Gas | 2,881, 35.59%, see rank | 30.54% | 49.42% |
Bottled, Tank, or LP Gas | 1,681, 20.77%, see rank | 8.07% | 5.03% |
Electricity | 3,287, 40.61%, see rank | 59.62% | 35.51% |
Fuel Oil, Kerosene, etc. | 40, 0.49%, see rank | 0.25% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 100, 1.24%, see rank | 1.18% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.00% | 0.04% |
Other Fuel | 78, 0.96%, see rank | 0.08% | 0.43% |
No Fuel Used | 27, 0.33%, see rank | 0.23% | 0.90% |
ACS 2006-2010 data
| Tuskegee Area | Alabama | U.S. |
Total Housing Units | 7,969, 100% | 1,821,210 | 114,235,996 |
Utility Gas | 2,997, 37.61%, see rank | 32.56% | 49.91% |
Bottled, Tank, or LP Gas | 1,668, 20.93%, see rank | 9.21% | 5.38% |
Electricity | 3,014, 37.82%, see rank | 56.48% | 34.20% |
Fuel Oil, Kerosene, etc. | 56, 0.70%, see rank | 0.29% | 7.07% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 141, 1.77%, see rank | 1.13% | 1.97% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.03% |
Other Fuel | 69, 0.87%, see rank | 0.08% | 0.42% |
No Fuel Used | 24, 0.30%, see rank | 0.23% | 0.90% |
ACS 2005-2009 data
| Tuskegee Area | Alabama | U.S. |
Total Housing Units | 8,233, 100% | 1,819,441 | 112,611,029 |
Utility Gas | 3,259, 39.58%, see rank | 33.75% | 50.14% |
Bottled, Tank, or LP Gas | 1,803, 21.90%, see rank | 9.93% | 5.58% |
Electricity | 2,920, 35.47%, see rank | 54.56% | 33.56% |
Fuel Oil, Kerosene, etc. | 62, 0.75%, see rank | 0.31% | 7.38% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.12% |
Wood | 145, 1.76%, see rank | 1.09% | 1.89% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.03% |
Other Fuel | 24, 0.29%, see rank | 0.07% | 0.42% |
No Fuel Used | 20, 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.