97355 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 97355 Zip Code | Oregon | U.S. |
Total Housing Units | 10,924, 100% | 1,522,988 | 116,211,092 |
Utility Gas | 4,049, 37.07%, see rank | 38.19% | 48.85% |
Bottled, Tank, or LP Gas | 146, 1.34%, see rank | 1.64% | 4.86% |
Electricity | 5,474, 50.11%, see rank | 49.20% | 36.68% |
Fuel Oil, Kerosene, etc. | 41, 0.38%, see rank | 2.78% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 1,081, 9.90%, see rank | 7.04% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.05% | 0.05% |
Other Fuel | 110, 1.01%, see rank | 0.77% | 0.47% |
No Fuel Used | 23, 0.21%, see rank | 0.33% | 1.00% |
ACS 2008-2012 data
| 97355 Zip Code | Oregon | U.S. |
Total Housing Units | 10,746, 100% | 1,512,718 | 115,226,802 |
Utility Gas | 4,030, 37.50%, see rank | 38.49% | 49.42% |
Bottled, Tank, or LP Gas | 194, 1.81%, see rank | 1.63% | 5.03% |
Electricity | 5,027, 46.78%, see rank | 48.51% | 35.51% |
Fuel Oil, Kerosene, etc. | 141, 1.31%, see rank | 3.25% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 1,206, 11.22%, see rank | 7.07% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.04% | 0.04% |
Other Fuel | 144, 1.34%, see rank | 0.73% | 0.43% |
No Fuel Used | 4, 0.04%, see rank | 0.27% | 0.90% |
US Census 2000 data
| 97355 Zip Code | Oregon | U.S. |
Total Housing Units | 9,944, 100% | 1,333,723 | 105,480,101 |
Utility Gas | 3,728, 37.49%, see rank | 34.48% | 51.22% |
Bottled, Tank, or LP Gas | 218, 2.19%, see rank | 1.97% | 6.52% |
Electricity | 4,354, 43.79%, see rank | 48.65% | 30.35% |
Fuel Oil, Kerosene, etc. | 302, 3.04%, see rank | 6.89% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.14% |
Wood | 1,207, 12.14%, see rank | 7.07% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.04% | 0.04% |
Other Fuel | 116, 1.17%, see rank | 0.70% | 0.39% |
No Fuel Used | 19, 0.19%, 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.