97701 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 97701 Zip Code | Oregon | U.S. |
Total Housing Units | 25,332, 100% | 1,522,988 | 116,211,092 |
Utility Gas | 11,638, 45.94%, see rank | 38.19% | 48.85% |
Bottled, Tank, or LP Gas | 483, 1.91%, see rank | 1.64% | 4.86% |
Electricity | 10,765, 42.50%, see rank | 49.20% | 36.68% |
Fuel Oil, Kerosene, etc. | 378, 1.49%, see rank | 2.78% | 5.86% |
Coal or Coke | 15, 0.06%, see rank | 0.01% | 0.12% |
Wood | 1,787, 7.05%, see rank | 7.04% | 2.12% |
Solar Energy | 22, 0.09%, see rank | 0.05% | 0.05% |
Other Fuel | 170, 0.67%, see rank | 0.77% | 0.47% |
No Fuel Used | 74, 0.29%, see rank | 0.33% | 1.00% |
ACS 2008-2012 data
| 97701 Zip Code | Oregon | U.S. |
Total Housing Units | 25,039, 100% | 1,512,718 | 115,226,802 |
Utility Gas | 12,148, 48.52%, see rank | 38.49% | 49.42% |
Bottled, Tank, or LP Gas | 448, 1.79%, see rank | 1.63% | 5.03% |
Electricity | 10,095, 40.32%, see rank | 48.51% | 35.51% |
Fuel Oil, Kerosene, etc. | 455, 1.82%, see rank | 3.25% | 6.46% |
Coal or Coke | 45, 0.18%, see rank | 0.01% | 0.12% |
Wood | 1,580, 6.31%, see rank | 7.07% | 2.08% |
Solar Energy | 24, 0.10%, see rank | 0.04% | 0.04% |
Other Fuel | 154, 0.62%, see rank | 0.73% | 0.43% |
No Fuel Used | 90, 0.36%, see rank | 0.27% | 0.90% |
US Census 2000 data
| 97701 Zip Code | Oregon | U.S. |
Total Housing Units | 17,875, 100% | 1,333,723 | 105,480,101 |
Utility Gas | 6,836, 38.24%, see rank | 34.48% | 51.22% |
Bottled, Tank, or LP Gas | 452, 2.53%, see rank | 1.97% | 6.52% |
Electricity | 7,925, 44.34%, see rank | 48.65% | 30.35% |
Fuel Oil, Kerosene, etc. | 657, 3.68%, see rank | 6.89% | 8.97% |
Coal or Coke | 10, 0.06%, see rank | 0.01% | 0.14% |
Wood | 1,830, 10.24%, see rank | 7.07% | 1.68% |
Solar Energy | 9, 0.05%, see rank | 0.04% | 0.04% |
Other Fuel | 147, 0.82%, see rank | 0.70% | 0.39% |
No Fuel Used | 9, 0.05%, 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.