98338 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 98338 Zip Code | Washington | U.S. |
Total Housing Units | 8,669, 100% | 2,645,396 | 116,211,092 |
Utility Gas | 1,728, 19.93%, see rank | 35.08% | 48.85% |
Bottled, Tank, or LP Gas | 400, 4.61%, see rank | 3.08% | 4.86% |
Electricity | 5,515, 63.62%, see rank | 53.93% | 36.68% |
Fuel Oil, Kerosene, etc. | 138, 1.59%, see rank | 2.50% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 726, 8.37%, see rank | 4.39% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
Other Fuel | 148, 1.71%, see rank | 0.63% | 0.47% |
No Fuel Used | 14, 0.16%, see rank | 0.36% | 1.00% |
ACS 2008-2012 data
| 98338 Zip Code | Washington | U.S. |
Total Housing Units | 8,490, 100% | 2,619,995 | 115,226,802 |
Utility Gas | 1,747, 20.58%, see rank | 35.49% | 49.42% |
Bottled, Tank, or LP Gas | 448, 5.28%, see rank | 3.25% | 5.03% |
Electricity | 5,172, 60.92%, see rank | 52.97% | 35.51% |
Fuel Oil, Kerosene, etc. | 99, 1.17%, see rank | 2.89% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.12% |
Wood | 868, 10.22%, see rank | 4.46% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
Other Fuel | 156, 1.84%, see rank | 0.63% | 0.43% |
No Fuel Used | 0, 0.00%, see rank | 0.25% | 0.90% |
US Census 2000 data
| 98338 Zip Code | Washington | U.S. |
Total Housing Units | 6,976, 100% | 2,271,398 | 105,480,101 |
Utility Gas | 1,223, 17.53%, see rank | 32.88% | 51.22% |
Bottled, Tank, or LP Gas | 530, 7.60%, see rank | 3.06% | 6.52% |
Electricity | 4,163, 59.68%, see rank | 52.93% | 30.35% |
Fuel Oil, Kerosene, etc. | 217, 3.11%, see rank | 5.58% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.14% |
Wood | 781, 11.20%, see rank | 4.71% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 62, 0.89%, 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.