Landess, IN Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Landess, IN | Indiana | U.S. |
| Total Housing Units | 86, 100% | 2,492,183 | 116,211,092 |
| Utility Gas | 0, 0.00%, see rank | 61.00% | 48.85% |
| Bottled, Tank, or LP Gas | 56, 65.12%, see rank | 7.17% | 4.86% |
| Electricity | 9, 10.47%, see rank | 27.77% | 36.68% |
| Fuel Oil, Kerosene, etc. | 13, 15.12%, see rank | 0.96% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.14% | 0.12% |
| Wood | 0, 0.00%, 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 | 8, 9.30%, see rank | 0.27% | 1.00% |
ACS 2008-2012 data
| | Landess, IN | Indiana | U.S. |
| Total Housing Units | 77, 100% | 2,478,846 | 115,226,802 |
| Utility Gas | 0, 0.00%, see rank | 62.04% | 49.42% |
| Bottled, Tank, or LP Gas | 41, 53.25%, see rank | 7.42% | 5.03% |
| Electricity | 11, 14.29%, see rank | 26.36% | 35.51% |
| Fuel Oil, Kerosene, etc. | 18, 23.38%, see rank | 1.15% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.15% | 0.12% |
| Wood | 0, 0.00%, 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 | 7, 9.09%, see rank | 0.23% | 0.90% |
ACS 2006-2010 data
| | Landess, IN | Indiana | U.S. |
| Total Housing Units | 83, 100% | 2,465,402 | 114,235,996 |
| Utility Gas | 0, 0.00%, see rank | 62.95% | 49.91% |
| Bottled, Tank, or LP Gas | 17, 20.48%, see rank | 7.93% | 5.38% |
| Electricity | 17, 20.48%, see rank | 24.94% | 34.20% |
| Fuel Oil, Kerosene, etc. | 25, 30.12%, see rank | 1.40% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.14% | 0.12% |
| Wood | 24, 28.92%, 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.
