84759 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 84759 Zip Code | Utah | U.S. |
| Total Housing Units | 720, 100% | 896,194 | 116,211,092 |
| Utility Gas | 450, 62.50%, see rank | 84.97% | 48.85% |
| Bottled, Tank, or LP Gas | 56, 7.78%, see rank | 2.28% | 4.86% |
| Electricity | 100, 13.89%, see rank | 10.79% | 36.68% |
| Fuel Oil, Kerosene, etc. | 19, 2.64%, see rank | 0.15% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.16% | 0.12% |
| Wood | 92, 12.78%, see rank | 1.19% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
| Other Fuel | 3, 0.42%, see rank | 0.32% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.11% | 1.00% |
ACS 2008-2012 data
| | 84759 Zip Code | Utah | U.S. |
| Total Housing Units | 764, 100% | 880,873 | 115,226,802 |
| Utility Gas | 459, 60.08%, see rank | 85.46% | 49.42% |
| Bottled, Tank, or LP Gas | 84, 10.99%, see rank | 2.31% | 5.03% |
| Electricity | 95, 12.43%, see rank | 10.18% | 35.51% |
| Fuel Oil, Kerosene, etc. | 7, 0.92%, see rank | 0.19% | 6.46% |
| Coal or Coke | 7, 0.92%, see rank | 0.19% | 0.12% |
| Wood | 104, 13.61%, see rank | 1.29% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 2, 0.26%, see rank | 0.25% | 0.43% |
| No Fuel Used | 6, 0.79%, see rank | 0.09% | 0.90% |
US Census 2000 data
| | 84759 Zip Code | Utah | U.S. |
| Total Housing Units | 647, 100% | 701,281 | 105,480,101 |
| Utility Gas | 256, 39.57%, see rank | 84.80% | 51.22% |
| Bottled, Tank, or LP Gas | 155, 23.96%, see rank | 2.98% | 6.52% |
| Electricity | 84, 12.98%, see rank | 9.76% | 30.35% |
| Fuel Oil, Kerosene, etc. | 29, 4.48%, see rank | 0.55% | 8.97% |
| Coal or Coke | 8, 1.24%, see rank | 0.38% | 0.14% |
| Wood | 113, 17.47%, see rank | 1.11% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.04% | 0.04% |
| Other Fuel | 2, 0.31%, see rank | 0.27% | 0.39% |
| No Fuel Used | 0, 0.00%, see rank | 0.11% | 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.
