97737 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 97737 Zip Code | Oregon | U.S. |
| Total Housing Units | 238, 100% | 1,522,988 | 116,211,092 |
| Utility Gas | 72, 30.25%, see rank | 38.19% | 48.85% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 1.64% | 4.86% |
| Electricity | 151, 63.45%, 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 | 15, 6.30%, 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
| | 97737 Zip Code | Oregon | U.S. |
| Total Housing Units | 178, 100% | 1,512,718 | 115,226,802 |
| Utility Gas | 78, 43.82%, see rank | 38.49% | 49.42% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 1.63% | 5.03% |
| Electricity | 91, 51.12%, see rank | 48.51% | 35.51% |
| Fuel Oil, Kerosene, etc. | 9, 5.06%, see rank | 3.25% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 0, 0.00%, 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% |
US Census 2000 data
| | 97737 Zip Code | Oregon | U.S. |
| Total Housing Units | 167, 100% | 1,333,723 | 105,480,101 |
| Utility Gas | 60, 35.93%, see rank | 34.48% | 51.22% |
| Bottled, Tank, or LP Gas | 19, 11.38%, see rank | 1.97% | 6.52% |
| Electricity | 17, 10.18%, see rank | 48.65% | 30.35% |
| Fuel Oil, Kerosene, etc. | 11, 6.59%, see rank | 6.89% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.14% |
| Wood | 60, 35.93%, see rank | 7.07% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.04% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.70% | 0.39% |
| No Fuel Used | 0, 0.00%, see rank | 0.20% | 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.
