83545 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 83545 Zip Code | Idaho | U.S. |
| Total Housing Units | 211, 100% | 585,259 | 116,211,092 |
| Utility Gas | 4, 1.90%, see rank | 51.34% | 48.85% |
| Bottled, Tank, or LP Gas | 14, 6.64%, see rank | 4.95% | 4.86% |
| Electricity | 82, 38.86%, see rank | 32.80% | 36.68% |
| Fuel Oil, Kerosene, etc. | 38, 18.01%, see rank | 1.89% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.07% | 0.12% |
| Wood | 71, 33.65%, see rank | 7.86% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.04% | 0.05% |
| Other Fuel | 2, 0.95%, see rank | 0.77% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.27% | 1.00% |
ACS 2008-2012 data
| | 83545 Zip Code | Idaho | U.S. |
| Total Housing Units | 225, 100% | 577,648 | 115,226,802 |
| Utility Gas | 4, 1.78%, see rank | 51.25% | 49.42% |
| Bottled, Tank, or LP Gas | 10, 4.44%, see rank | 5.25% | 5.03% |
| Electricity | 85, 37.78%, see rank | 32.48% | 35.51% |
| Fuel Oil, Kerosene, etc. | 49, 21.78%, see rank | 2.28% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.09% | 0.12% |
| Wood | 74, 32.89%, see rank | 7.60% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.05% | 0.04% |
| Other Fuel | 3, 1.33%, see rank | 0.80% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.21% | 0.90% |
US Census 2000 data
| | 83545 Zip Code | Idaho | U.S. |
| Total Housing Units | 225, 100% | 469,645 | 105,480,101 |
| Utility Gas | 4, 1.78%, see rank | 45.45% | 51.22% |
| Bottled, Tank, or LP Gas | 16, 7.11%, see rank | 5.83% | 6.52% |
| Electricity | 83, 36.89%, see rank | 34.45% | 30.35% |
| Fuel Oil, Kerosene, etc. | 66, 29.33%, see rank | 5.36% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.31% | 0.14% |
| Wood | 56, 24.89%, see rank | 7.69% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.68% | 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.
