82324 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 82324 Zip Code | Wyoming | U.S. |
| Total Housing Units | 90, 100% | 225,514 | 116,211,092 |
| Utility Gas | 7, 7.78%, see rank | 60.08% | 48.85% |
| Bottled, Tank, or LP Gas | 29, 32.22%, see rank | 10.29% | 4.86% |
| Electricity | 9, 10.00%, see rank | 21.94% | 36.68% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.35% | 5.86% |
| Coal or Coke | 2, 2.22%, see rank | 0.58% | 0.12% |
| Wood | 41, 45.56%, see rank | 5.55% | 2.12% |
| Solar Energy | 2, 2.22%, 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
| | 82324 Zip Code | Wyoming | U.S. |
| Total Housing Units | 125, 100% | 221,479 | 115,226,802 |
| Utility Gas | 11, 8.80%, see rank | 60.78% | 49.42% |
| Bottled, Tank, or LP Gas | 52, 41.60%, see rank | 10.66% | 5.03% |
| Electricity | 5, 4.00%, see rank | 20.92% | 35.51% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.34% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.54% | 0.12% |
| Wood | 55, 44.00%, see rank | 5.58% | 2.08% |
| Solar Energy | 2, 1.60%, 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% |
US Census 2000 data
| | 82324 Zip Code | Wyoming | U.S. |
| Total Housing Units | 126, 100% | 193,608 | 105,480,101 |
| Utility Gas | 12, 9.52%, see rank | 63.52% | 51.22% |
| Bottled, Tank, or LP Gas | 77, 61.11%, see rank | 11.19% | 6.52% |
| Electricity | 7, 5.56%, see rank | 18.61% | 30.35% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.41% | 8.97% |
| Coal or Coke | 6, 4.76%, see rank | 0.93% | 0.14% |
| Wood | 24, 19.05%, see rank | 4.43% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.10% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.67% | 0.39% |
| No Fuel Used | 0, 0.00%, see rank | 0.16% | 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.
