98664 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 98664 Zip Code | Washington | U.S. |
Total Housing Units | 8,776, 100% | 2,645,396 | 116,211,092 |
Utility Gas | 2,776, 31.63%, see rank | 35.08% | 48.85% |
Bottled, Tank, or LP Gas | 105, 1.20%, see rank | 3.08% | 4.86% |
Electricity | 5,522, 62.92%, see rank | 53.93% | 36.68% |
Fuel Oil, Kerosene, etc. | 56, 0.64%, see rank | 2.50% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 227, 2.59%, see rank | 4.39% | 2.12% |
Solar Energy | 19, 0.22%, see rank | 0.03% | 0.05% |
Other Fuel | 32, 0.36%, see rank | 0.63% | 0.47% |
No Fuel Used | 39, 0.44%, see rank | 0.36% | 1.00% |
ACS 2008-2012 data
| 98664 Zip Code | Washington | U.S. |
Total Housing Units | 9,101, 100% | 2,619,995 | 115,226,802 |
Utility Gas | 2,772, 30.46%, see rank | 35.49% | 49.42% |
Bottled, Tank, or LP Gas | 48, 0.53%, see rank | 3.25% | 5.03% |
Electricity | 6,034, 66.30%, see rank | 52.97% | 35.51% |
Fuel Oil, Kerosene, etc. | 73, 0.80%, see rank | 2.89% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.12% |
Wood | 89, 0.98%, see rank | 4.46% | 2.08% |
Solar Energy | 10, 0.11%, see rank | 0.03% | 0.04% |
Other Fuel | 26, 0.29%, see rank | 0.63% | 0.43% |
No Fuel Used | 49, 0.54%, see rank | 0.25% | 0.90% |
US Census 2000 data
| 98664 Zip Code | Washington | U.S. |
Total Housing Units | 8,225, 100% | 2,271,398 | 105,480,101 |
Utility Gas | 1,917, 23.31%, see rank | 32.88% | 51.22% |
Bottled, Tank, or LP Gas | 15, 0.18%, see rank | 3.06% | 6.52% |
Electricity | 5,845, 71.06%, see rank | 52.93% | 30.35% |
Fuel Oil, Kerosene, etc. | 256, 3.11%, see rank | 5.58% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.14% |
Wood | 139, 1.69%, see rank | 4.71% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 29, 0.35%, see rank | 0.61% | 0.39% |
No Fuel Used | 24, 0.29%, see rank | 0.19% | 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.