Indian Heights, IN Historical Type of Heating Fuel in a House Data
ACS 2006-2010 data
| | Indian Heights, IN | Indiana | U.S. |
| Total Housing Units | 1,300, 100% | 2,465,402 | 114,235,996 |
| Utility Gas | 1,219, 93.77%, see rank | 62.95% | 49.91% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 7.93% | 5.38% |
| Electricity | 81, 6.23%, see rank | 24.94% | 34.20% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 1.40% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.14% | 0.12% |
| Wood | 0, 0.00%, see rank | 1.92% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.03% |
| Other Fuel | 0, 0.00%, see rank | 0.47% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 0.23% | 0.90% |
ACS 2005-2009 data
| | Indian Heights, IN | Indiana | U.S. |
| Total Housing Units | 1,219, 100% | 2,468,006 | 112,611,029 |
| Utility Gas | 1,131, 92.78%, see rank | 63.12% | 50.14% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 8.36% | 5.58% |
| Electricity | 88, 7.22%, see rank | 24.23% | 33.56% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 1.56% | 7.38% |
| Coal or Coke | 0, 0.00%, see rank | 0.14% | 0.12% |
| Wood | 0, 0.00%, see rank | 1.87% | 1.89% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.03% |
| Other Fuel | 0, 0.00%, see rank | 0.47% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 0.23% | 0.88% |
US Census 2000 data
| | Indian Heights, IN | Indiana | U.S. |
| Total Housing Units | 1,243, 100% | 2,336,306 | 105,480,101 |
| Utility Gas | 1,203, 96.78%, see rank | 64.65% | 51.22% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 8.96% | 6.52% |
| Electricity | 33, 2.65%, see rank | 21.70% | 30.35% |
| Fuel Oil, Kerosene, etc. | 7, 0.56%, see rank | 2.58% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.09% | 0.14% |
| Wood | 0, 0.00%, see rank | 1.42% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.37% | 0.39% |
| No Fuel Used | 0, 0.00%, see rank | 0.21% | 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.
