98273 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 98273 Zip Code | Washington | U.S. |
Total Housing Units | 10,467, 100% | 2,645,396 | 116,211,092 |
Utility Gas | 4,378, 41.83%, see rank | 35.08% | 48.85% |
Bottled, Tank, or LP Gas | 803, 7.67%, see rank | 3.08% | 4.86% |
Electricity | 4,424, 42.27%, see rank | 53.93% | 36.68% |
Fuel Oil, Kerosene, etc. | 231, 2.21%, see rank | 2.50% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 438, 4.18%, see rank | 4.39% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
Other Fuel | 162, 1.55%, see rank | 0.63% | 0.47% |
No Fuel Used | 31, 0.30%, see rank | 0.36% | 1.00% |
ACS 2008-2012 data
| 98273 Zip Code | Washington | U.S. |
Total Housing Units | 10,582, 100% | 2,619,995 | 115,226,802 |
Utility Gas | 4,657, 44.01%, see rank | 35.49% | 49.42% |
Bottled, Tank, or LP Gas | 787, 7.44%, see rank | 3.25% | 5.03% |
Electricity | 4,271, 40.36%, see rank | 52.97% | 35.51% |
Fuel Oil, Kerosene, etc. | 185, 1.75%, see rank | 2.89% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.12% |
Wood | 518, 4.90%, see rank | 4.46% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
Other Fuel | 142, 1.34%, see rank | 0.63% | 0.43% |
No Fuel Used | 22, 0.21%, see rank | 0.25% | 0.90% |
US Census 2000 data
| 98273 Zip Code | Washington | U.S. |
Total Housing Units | 9,182, 100% | 2,271,398 | 105,480,101 |
Utility Gas | 3,882, 42.28%, see rank | 32.88% | 51.22% |
Bottled, Tank, or LP Gas | 743, 8.09%, see rank | 3.06% | 6.52% |
Electricity | 3,808, 41.47%, see rank | 52.93% | 30.35% |
Fuel Oil, Kerosene, etc. | 353, 3.84%, see rank | 5.58% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.14% |
Wood | 267, 2.91%, see rank | 4.71% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 43, 0.47%, see rank | 0.61% | 0.39% |
No Fuel Used | 86, 0.94%, 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.