Mammoth, WY Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Mammoth, WY | Wyoming | U.S. |
| Total Housing Units | 131, 100% | 225,514 | 116,211,092 |
| Utility Gas | 0, 0.00%, see rank | 60.08% | 48.85% |
| Bottled, Tank, or LP Gas | 47, 35.88%, see rank | 10.29% | 4.86% |
| Electricity | 54, 41.22%, see rank | 21.94% | 36.68% |
| Fuel Oil, Kerosene, etc. | 30, 22.90%, see rank | 0.35% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.58% | 0.12% |
| Wood | 0, 0.00%, see rank | 5.55% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.08% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.94% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.20% | 1.00% |
ACS 2008-2012 data
| | Mammoth, WY | Wyoming | U.S. |
| Total Housing Units | 161, 100% | 221,479 | 115,226,802 |
| Utility Gas | 15, 9.32%, see rank | 60.78% | 49.42% |
| Bottled, Tank, or LP Gas | 73, 45.34%, see rank | 10.66% | 5.03% |
| Electricity | 43, 26.71%, see rank | 20.92% | 35.51% |
| Fuel Oil, Kerosene, etc. | 10, 6.21%, see rank | 0.34% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.54% | 0.12% |
| Wood | 20, 12.42%, see rank | 5.58% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.09% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.93% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.17% | 0.90% |
ACS 2006-2010 data
| | Mammoth, WY | Wyoming | U.S. |
| Total Housing Units | 119, 100% | 217,688 | 114,235,996 |
| Utility Gas | 16, 13.45%, see rank | 61.73% | 49.91% |
| Bottled, Tank, or LP Gas | 69, 57.98%, see rank | 11.07% | 5.38% |
| Electricity | 0, 0.00%, see rank | 19.88% | 34.20% |
| Fuel Oil, Kerosene, etc. | 14, 11.76%, see rank | 0.38% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.61% | 0.12% |
| Wood | 20, 16.81%, see rank | 5.15% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.12% | 0.03% |
| Other Fuel | 0, 0.00%, see rank | 0.87% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 0.19% | 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.
