Martinsdale, MT Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Martinsdale, MT | Montana | U.S. |
| Total Housing Units | 44, 100% | 407,797 | 116,211,092 |
| Utility Gas | 0, 0.00%, see rank | 54.68% | 48.85% |
| Bottled, Tank, or LP Gas | 18, 40.91%, see rank | 12.11% | 4.86% |
| Electricity | 4, 9.09%, see rank | 21.42% | 36.68% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 1.30% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.18% | 0.12% |
| Wood | 22, 50.00%, see rank | 8.78% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.07% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 1.17% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.30% | 1.00% |
ACS 2008-2012 data
| | Martinsdale, MT | Montana | U.S. |
| Total Housing Units | 36, 100% | 405,508 | 115,226,802 |
| Utility Gas | 0, 0.00%, see rank | 55.51% | 49.42% |
| Bottled, Tank, or LP Gas | 27, 75.00%, see rank | 12.38% | 5.03% |
| Electricity | 3, 8.33%, see rank | 20.16% | 35.51% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 1.64% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.21% | 0.12% |
| Wood | 6, 16.67%, see rank | 8.69% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.05% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 1.11% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.25% | 0.90% |
ACS 2006-2010 data
| | Martinsdale, MT | Montana | U.S. |
| Total Housing Units | 28, 100% | 401,328 | 114,235,996 |
| Utility Gas | 0, 0.00%, see rank | 56.50% | 49.91% |
| Bottled, Tank, or LP Gas | 26, 92.86%, see rank | 12.89% | 5.38% |
| Electricity | 2, 7.14%, see rank | 18.83% | 34.20% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 1.86% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.23% | 0.12% |
| Wood | 0, 0.00%, see rank | 8.34% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.08% | 0.03% |
| Other Fuel | 0, 0.00%, see rank | 1.05% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 0.21% | 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.
