Mountain Green, UT Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Mountain Green, UT | Utah | U.S. |
| Total Housing Units | 684, 100% | 896,194 | 116,211,092 |
| Utility Gas | 665, 97.22%, see rank | 84.97% | 48.85% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 2.28% | 4.86% |
| Electricity | 19, 2.78%, see rank | 10.79% | 36.68% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.15% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.16% | 0.12% |
| Wood | 0, 0.00%, see rank | 1.19% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.32% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.11% | 1.00% |
ACS 2008-2012 data
| | Mountain Green, UT | Utah | U.S. |
| Total Housing Units | 634, 100% | 880,873 | 115,226,802 |
| Utility Gas | 634, 100.00%, see rank | 85.46% | 49.42% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 2.31% | 5.03% |
| Electricity | 0, 0.00%, see rank | 10.18% | 35.51% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.19% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.19% | 0.12% |
| Wood | 0, 0.00%, see rank | 1.29% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.25% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.09% | 0.90% |
ACS 2006-2010 data
| | Mountain Green, UT | Utah | U.S. |
| Total Housing Units | 538, 100% | 859,158 | 114,235,996 |
| Utility Gas | 538, 100.00%, see rank | 85.60% | 49.91% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 2.53% | 5.38% |
| Electricity | 0, 0.00%, see rank | 9.77% | 34.20% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.27% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.25% | 0.12% |
| Wood | 0, 0.00%, see rank | 1.24% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.03% |
| Other Fuel | 0, 0.00%, see rank | 0.24% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 0.08% | 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.
