Hidden Spring, ID Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Hidden Spring, ID | Idaho | U.S. |
| Total Housing Units | 770, 100% | 585,259 | 116,211,092 |
| Utility Gas | 675, 87.66%, see rank | 51.34% | 48.85% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 4.95% | 4.86% |
| Electricity | 75, 9.74%, see rank | 32.80% | 36.68% |
| Fuel Oil, Kerosene, etc. | 20, 2.60%, see rank | 1.89% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.07% | 0.12% |
| Wood | 0, 0.00%, see rank | 7.86% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.04% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.77% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.27% | 1.00% |
ACS 2008-2012 data
| | Hidden Spring, ID | Idaho | U.S. |
| Total Housing Units | 700, 100% | 577,648 | 115,226,802 |
| Utility Gas | 614, 87.71%, see rank | 51.25% | 49.42% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 5.25% | 5.03% |
| Electricity | 69, 9.86%, see rank | 32.48% | 35.51% |
| Fuel Oil, Kerosene, etc. | 17, 2.43%, see rank | 2.28% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.09% | 0.12% |
| Wood | 0, 0.00%, see rank | 7.60% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.05% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.80% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.21% | 0.90% |
ACS 2006-2010 data
| | Hidden Spring, ID | Idaho | U.S. |
| Total Housing Units | 499, 100% | 570,283 | 114,235,996 |
| Utility Gas | 442, 88.58%, see rank | 50.82% | 49.91% |
| Bottled, Tank, or LP Gas | 8, 1.60%, see rank | 5.70% | 5.38% |
| Electricity | 49, 9.82%, see rank | 31.96% | 34.20% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 2.91% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.12% | 0.12% |
| Wood | 0, 0.00%, see rank | 7.30% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.04% | 0.03% |
| Other Fuel | 0, 0.00%, see rank | 0.94% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 0.20% | 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.
