98290 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 98290 Zip Code | Washington | U.S. |
Total Housing Units | 11,905, 100% | 2,645,396 | 116,211,092 |
Utility Gas | 2,028, 17.03%, see rank | 35.08% | 48.85% |
Bottled, Tank, or LP Gas | 2,041, 17.14%, see rank | 3.08% | 4.86% |
Electricity | 6,180, 51.91%, see rank | 53.93% | 36.68% |
Fuel Oil, Kerosene, etc. | 126, 1.06%, see rank | 2.50% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 1,353, 11.36%, see rank | 4.39% | 2.12% |
Solar Energy | 9, 0.08%, see rank | 0.03% | 0.05% |
Other Fuel | 151, 1.27%, see rank | 0.63% | 0.47% |
No Fuel Used | 17, 0.14%, see rank | 0.36% | 1.00% |
ACS 2008-2012 data
| 98290 Zip Code | Washington | U.S. |
Total Housing Units | 11,996, 100% | 2,619,995 | 115,226,802 |
Utility Gas | 1,938, 16.16%, see rank | 35.49% | 49.42% |
Bottled, Tank, or LP Gas | 2,053, 17.11%, see rank | 3.25% | 5.03% |
Electricity | 6,206, 51.73%, see rank | 52.97% | 35.51% |
Fuel Oil, Kerosene, etc. | 262, 2.18%, see rank | 2.89% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.12% |
Wood | 1,279, 10.66%, see rank | 4.46% | 2.08% |
Solar Energy | 7, 0.06%, see rank | 0.03% | 0.04% |
Other Fuel | 251, 2.09%, see rank | 0.63% | 0.43% |
No Fuel Used | 0, 0.00%, see rank | 0.25% | 0.90% |
US Census 2000 data
| 98290 Zip Code | Washington | U.S. |
Total Housing Units | 10,341, 100% | 2,271,398 | 105,480,101 |
Utility Gas | 1,417, 13.70%, see rank | 32.88% | 51.22% |
Bottled, Tank, or LP Gas | 932, 9.01%, see rank | 3.06% | 6.52% |
Electricity | 6,265, 60.58%, see rank | 52.93% | 30.35% |
Fuel Oil, Kerosene, etc. | 257, 2.49%, see rank | 5.58% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.14% |
Wood | 1,260, 12.18%, see rank | 4.71% | 1.68% |
Solar Energy | 8, 0.08%, see rank | 0.02% | 0.04% |
Other Fuel | 202, 1.95%, see rank | 0.61% | 0.39% |
No Fuel Used | 0, 0.00%, 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.