98118 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 98118 Zip Code | Washington | U.S. |
Total Housing Units | 15,804, 100% | 2,645,396 | 116,211,092 |
Utility Gas | 6,735, 42.62%, see rank | 35.08% | 48.85% |
Bottled, Tank, or LP Gas | 237, 1.50%, see rank | 3.08% | 4.86% |
Electricity | 7,358, 46.56%, see rank | 53.93% | 36.68% |
Fuel Oil, Kerosene, etc. | 1,215, 7.69%, see rank | 2.50% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 143, 0.90%, see rank | 4.39% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
Other Fuel | 0, 0.00%, see rank | 0.63% | 0.47% |
No Fuel Used | 116, 0.73%, see rank | 0.36% | 1.00% |
ACS 2008-2012 data
| 98118 Zip Code | Washington | U.S. |
Total Housing Units | 15,565, 100% | 2,619,995 | 115,226,802 |
Utility Gas | 7,173, 46.08%, see rank | 35.49% | 49.42% |
Bottled, Tank, or LP Gas | 118, 0.76%, see rank | 3.25% | 5.03% |
Electricity | 6,788, 43.61%, see rank | 52.97% | 35.51% |
Fuel Oil, Kerosene, etc. | 1,304, 8.38%, see rank | 2.89% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.12% |
Wood | 107, 0.69%, see rank | 4.46% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
Other Fuel | 46, 0.30%, see rank | 0.63% | 0.43% |
No Fuel Used | 29, 0.19%, see rank | 0.25% | 0.90% |
US Census 2000 data
| 98118 Zip Code | Washington | U.S. |
Total Housing Units | 13,864, 100% | 2,271,398 | 105,480,101 |
Utility Gas | 5,758, 41.53%, see rank | 32.88% | 51.22% |
Bottled, Tank, or LP Gas | 224, 1.62%, see rank | 3.06% | 6.52% |
Electricity | 5,785, 41.73%, see rank | 52.93% | 30.35% |
Fuel Oil, Kerosene, etc. | 1,972, 14.22%, see rank | 5.58% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.14% |
Wood | 64, 0.46%, see rank | 4.71% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 0, 0.00%, see rank | 0.61% | 0.39% |
No Fuel Used | 61, 0.44%, 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.