Onalaska, WA Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Onalaska, WA | Washington | U.S. |
| Total Housing Units | 332, 100% | 2,645,396 | 116,211,092 |
| Utility Gas | 0, 0.00%, see rank | 35.08% | 48.85% |
| Bottled, Tank, or LP Gas | 17, 5.12%, see rank | 3.08% | 4.86% |
| Electricity | 221, 66.57%, see rank | 53.93% | 36.68% |
| Fuel Oil, Kerosene, etc. | 26, 7.83%, see rank | 2.50% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 68, 20.48%, see rank | 4.39% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.63% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.36% | 1.00% |
ACS 2008-2012 data
| | Onalaska, WA | Washington | U.S. |
| Total Housing Units | 255, 100% | 2,619,995 | 115,226,802 |
| Utility Gas | 0, 0.00%, see rank | 35.49% | 49.42% |
| Bottled, Tank, or LP Gas | 8, 3.14%, see rank | 3.25% | 5.03% |
| Electricity | 196, 76.86%, see rank | 52.97% | 35.51% |
| Fuel Oil, Kerosene, etc. | 9, 3.53%, see rank | 2.89% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.12% |
| Wood | 42, 16.47%, see rank | 4.46% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.63% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.25% | 0.90% |
ACS 2006-2010 data
| | Onalaska, WA | Washington | U.S. |
| Total Housing Units | 242, 100% | 2,577,375 | 114,235,996 |
| Utility Gas | 0, 0.00%, see rank | 35.34% | 49.91% |
| Bottled, Tank, or LP Gas | 11, 4.55%, see rank | 3.46% | 5.38% |
| Electricity | 211, 87.19%, see rank | 52.39% | 34.20% |
| Fuel Oil, Kerosene, etc. | 8, 3.31%, see rank | 3.39% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.12% |
| Wood | 12, 4.96%, see rank | 4.51% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.03% |
| Other Fuel | 0, 0.00%, see rank | 0.60% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 0.26% | 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.
