97527 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 97527 Zip Code | Oregon | U.S. |
Total Housing Units | 13,801, 100% | 1,522,988 | 116,211,092 |
Utility Gas | 3,860, 27.97%, see rank | 38.19% | 48.85% |
Bottled, Tank, or LP Gas | 232, 1.68%, see rank | 1.64% | 4.86% |
Electricity | 6,875, 49.82%, see rank | 49.20% | 36.68% |
Fuel Oil, Kerosene, etc. | 439, 3.18%, see rank | 2.78% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 2,319, 16.80%, see rank | 7.04% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.05% | 0.05% |
Other Fuel | 45, 0.33%, see rank | 0.77% | 0.47% |
No Fuel Used | 31, 0.22%, see rank | 0.33% | 1.00% |
ACS 2008-2012 data
| 97527 Zip Code | Oregon | U.S. |
Total Housing Units | 13,932, 100% | 1,512,718 | 115,226,802 |
Utility Gas | 3,971, 28.50%, see rank | 38.49% | 49.42% |
Bottled, Tank, or LP Gas | 241, 1.73%, see rank | 1.63% | 5.03% |
Electricity | 7,052, 50.62%, see rank | 48.51% | 35.51% |
Fuel Oil, Kerosene, etc. | 543, 3.90%, see rank | 3.25% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 2,074, 14.89%, see rank | 7.07% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.04% | 0.04% |
Other Fuel | 41, 0.29%, see rank | 0.73% | 0.43% |
No Fuel Used | 10, 0.07%, see rank | 0.27% | 0.90% |
US Census 2000 data
| 97527 Zip Code | Oregon | U.S. |
Total Housing Units | 11,832, 100% | 1,333,723 | 105,480,101 |
Utility Gas | 2,432, 20.55%, see rank | 34.48% | 51.22% |
Bottled, Tank, or LP Gas | 505, 4.27%, see rank | 1.97% | 6.52% |
Electricity | 6,121, 51.73%, see rank | 48.65% | 30.35% |
Fuel Oil, Kerosene, etc. | 573, 4.84%, see rank | 6.89% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.14% |
Wood | 2,112, 17.85%, see rank | 7.07% | 1.68% |
Solar Energy | 7, 0.06%, see rank | 0.04% | 0.04% |
Other Fuel | 38, 0.32%, see rank | 0.70% | 0.39% |
No Fuel Used | 44, 0.37%, 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.