Mitchell, IL Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Mitchell, IL | Illinois | U.S. |
| Total Housing Units | 561, 100% | 4,778,633 | 116,211,092 |
| Utility Gas | 448, 79.86%, see rank | 79.46% | 48.85% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 4.08% | 4.86% |
| Electricity | 105, 18.72%, see rank | 14.82% | 36.68% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.20% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.12% |
| Wood | 8, 1.43%, see rank | 0.50% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.45% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.46% | 1.00% |
ACS 2008-2012 data
| | Mitchell, IL | Illinois | U.S. |
| Total Housing Units | 550, 100% | 4,774,275 | 115,226,802 |
| Utility Gas | 442, 80.36%, see rank | 80.36% | 49.42% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 4.10% | 5.03% |
| Electricity | 100, 18.18%, see rank | 14.02% | 35.51% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.25% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.12% |
| Wood | 8, 1.45%, see rank | 0.49% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.42% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.34% | 0.90% |
ACS 2006-2010 data
| | Mitchell, IL | Illinois | U.S. |
| Total Housing Units | 480, 100% | 4,769,951 | 114,235,996 |
| Utility Gas | 392, 81.67%, see rank | 80.83% | 49.91% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 4.31% | 5.38% |
| Electricity | 88, 18.33%, see rank | 13.35% | 34.20% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.31% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.12% |
| Wood | 0, 0.00%, see rank | 0.47% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.03% |
| Other Fuel | 0, 0.00%, see rank | 0.40% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 0.30% | 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.
