Anderson Metro Area Historical Type of Heating Fuel in a House Data
ACS 2008-2012 data
| Anderson Area | Indiana | U.S. |
Total Housing Units | 50,780, 100% | 2,478,846 | 115,226,802 |
Utility Gas | 34,619, 68.17%, see rank | 62.04% | 49.42% |
Bottled, Tank, or LP Gas | 2,337, 4.60%, see rank | 7.42% | 5.03% |
Electricity | 12,320, 24.26%, see rank | 26.36% | 35.51% |
Fuel Oil, Kerosene, etc. | 495, 0.97%, see rank | 1.15% | 6.46% |
Coal or Coke | 7, 0.01%, see rank | 0.15% | 0.12% |
Wood | 710, 1.40%, see rank | 2.14% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 227, 0.45%, see rank | 0.49% | 0.43% |
No Fuel Used | 65, 0.13%, see rank | 0.23% | 0.90% |
ACS 2006-2010 data
| Anderson Area | Indiana | U.S. |
Total Housing Units | 51,436, 100% | 2,465,402 | 114,235,996 |
Utility Gas | 35,598, 69.21%, see rank | 62.95% | 49.91% |
Bottled, Tank, or LP Gas | 2,757, 5.36%, see rank | 7.93% | 5.38% |
Electricity | 11,736, 22.82%, see rank | 24.94% | 34.20% |
Fuel Oil, Kerosene, etc. | 517, 1.01%, see rank | 1.40% | 7.07% |
Coal or Coke | 0, 0.00%, see rank | 0.14% | 0.12% |
Wood | 623, 1.21%, see rank | 1.92% | 1.97% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.03% |
Other Fuel | 111, 0.22%, see rank | 0.47% | 0.42% |
No Fuel Used | 94, 0.18%, see rank | 0.23% | 0.90% |
ACS 2005-2009 data
| Anderson Area | Indiana | U.S. |
Total Housing Units | 51,732, 100% | 2,468,006 | 112,611,029 |
Utility Gas | 36,222, 70.02%, see rank | 63.12% | 50.14% |
Bottled, Tank, or LP Gas | 2,895, 5.60%, see rank | 8.36% | 5.58% |
Electricity | 11,146, 21.55%, see rank | 24.23% | 33.56% |
Fuel Oil, Kerosene, etc. | 611, 1.18%, see rank | 1.56% | 7.38% |
Coal or Coke | 0, 0.00%, see rank | 0.14% | 0.12% |
Wood | 558, 1.08%, see rank | 1.87% | 1.89% |
Solar Energy | 7, 0.01%, see rank | 0.03% | 0.03% |
Other Fuel | 176, 0.34%, see rank | 0.47% | 0.42% |
No Fuel Used | 117, 0.23%, see rank | 0.23% | 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.