Deer Island, OR Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Deer Island, OR | Oregon | U.S. |
| Total Housing Units | 208, 100% | 1,522,988 | 116,211,092 |
| Utility Gas | 7, 3.37%, see rank | 38.19% | 48.85% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 1.64% | 4.86% |
| Electricity | 150, 72.12%, see rank | 49.20% | 36.68% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 2.78% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 51, 24.52%, see rank | 7.04% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.05% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.77% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.33% | 1.00% |
ACS 2008-2012 data
| | Deer Island, OR | Oregon | U.S. |
| Total Housing Units | 140, 100% | 1,512,718 | 115,226,802 |
| Utility Gas | 12, 8.57%, see rank | 38.49% | 49.42% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 1.63% | 5.03% |
| Electricity | 75, 53.57%, see rank | 48.51% | 35.51% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 3.25% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 53, 37.86%, see rank | 7.07% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.04% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.73% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.27% | 0.90% |
ACS 2006-2010 data
| | Deer Island, OR | Oregon | U.S. |
| Total Housing Units | 105, 100% | 1,499,267 | 114,235,996 |
| Utility Gas | 9, 8.57%, see rank | 38.16% | 49.91% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 1.77% | 5.38% |
| Electricity | 61, 58.10%, see rank | 48.06% | 34.20% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 3.89% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 35, 33.33%, see rank | 7.00% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.03% |
| Other Fuel | 0, 0.00%, see rank | 0.84% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 0.24% | 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.
