59057 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 59057 Zip Code | Montana | U.S. |
| Total Housing Units | 295, 100% | 407,797 | 116,211,092 |
| Utility Gas | 8, 2.71%, see rank | 54.68% | 48.85% |
| Bottled, Tank, or LP Gas | 154, 52.20%, see rank | 12.11% | 4.86% |
| Electricity | 90, 30.51%, see rank | 21.42% | 36.68% |
| Fuel Oil, Kerosene, etc. | 5, 1.69%, see rank | 1.30% | 5.86% |
| Coal or Coke | 5, 1.69%, see rank | 0.18% | 0.12% |
| Wood | 32, 10.85%, see rank | 8.78% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.07% | 0.05% |
| Other Fuel | 1, 0.34%, see rank | 1.17% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.30% | 1.00% |
ACS 2008-2012 data
| | 59057 Zip Code | Montana | U.S. |
| Total Housing Units | 232, 100% | 405,508 | 115,226,802 |
| Utility Gas | 8, 3.45%, see rank | 55.51% | 49.42% |
| Bottled, Tank, or LP Gas | 107, 46.12%, see rank | 12.38% | 5.03% |
| Electricity | 58, 25.00%, see rank | 20.16% | 35.51% |
| Fuel Oil, Kerosene, etc. | 8, 3.45%, see rank | 1.64% | 6.46% |
| Coal or Coke | 4, 1.72%, see rank | 0.21% | 0.12% |
| Wood | 23, 9.91%, see rank | 8.69% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.05% | 0.04% |
| Other Fuel | 24, 10.34%, see rank | 1.11% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.25% | 0.90% |
US Census 2000 data
| | 59057 Zip Code | Montana | U.S. |
| Total Housing Units | 157, 100% | 358,667 | 105,480,101 |
| Utility Gas | 6, 3.82%, see rank | 59.09% | 51.22% |
| Bottled, Tank, or LP Gas | 83, 52.87%, see rank | 12.66% | 6.52% |
| Electricity | 33, 21.02%, see rank | 16.06% | 30.35% |
| Fuel Oil, Kerosene, etc. | 21, 13.38%, see rank | 3.11% | 8.97% |
| Coal or Coke | 2, 1.27%, see rank | 0.34% | 0.14% |
| Wood | 8, 5.10%, see rank | 7.54% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.05% | 0.04% |
| Other Fuel | 4, 2.55%, see rank | 0.95% | 0.39% |
| No Fuel Used | 0, 0.00%, see rank | 0.21% | 0.69% |
* 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.
