Kimmell, IN Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Kimmell, IN | Indiana | U.S. |
| Total Housing Units | 171, 100% | 2,492,183 | 116,211,092 |
| Utility Gas | 6, 3.51%, see rank | 61.00% | 48.85% |
| Bottled, Tank, or LP Gas | 72, 42.11%, see rank | 7.17% | 4.86% |
| Electricity | 63, 36.84%, see rank | 27.77% | 36.68% |
| Fuel Oil, Kerosene, etc. | 10, 5.85%, see rank | 0.96% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.14% | 0.12% |
| Wood | 20, 11.70%, see rank | 2.21% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.46% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.27% | 1.00% |
ACS 2008-2012 data
| | Kimmell, IN | Indiana | U.S. |
| Total Housing Units | 135, 100% | 2,478,846 | 115,226,802 |
| Utility Gas | 9, 6.67%, see rank | 62.04% | 49.42% |
| Bottled, Tank, or LP Gas | 62, 45.93%, see rank | 7.42% | 5.03% |
| Electricity | 37, 27.41%, see rank | 26.36% | 35.51% |
| Fuel Oil, Kerosene, etc. | 14, 10.37%, see rank | 1.15% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.15% | 0.12% |
| Wood | 13, 9.63%, see rank | 2.14% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.49% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.23% | 0.90% |
ACS 2006-2010 data
| | Kimmell, IN | Indiana | U.S. |
| Total Housing Units | 150, 100% | 2,465,402 | 114,235,996 |
| Utility Gas | 28, 18.67%, see rank | 62.95% | 49.91% |
| Bottled, Tank, or LP Gas | 82, 54.67%, see rank | 7.93% | 5.38% |
| Electricity | 0, 0.00%, see rank | 24.94% | 34.20% |
| Fuel Oil, Kerosene, etc. | 24, 16.00%, see rank | 1.40% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.14% | 0.12% |
| Wood | 16, 10.67%, 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 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.
