98115 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 98115 Zip Code | Washington | U.S. |
Total Housing Units | 20,694, 100% | 2,645,396 | 116,211,092 |
Utility Gas | 9,429, 45.56%, see rank | 35.08% | 48.85% |
Bottled, Tank, or LP Gas | 175, 0.85%, see rank | 3.08% | 4.86% |
Electricity | 8,060, 38.95%, see rank | 53.93% | 36.68% |
Fuel Oil, Kerosene, etc. | 2,705, 13.07%, see rank | 2.50% | 5.86% |
Coal or Coke | 15, 0.07%, see rank | 0.01% | 0.12% |
Wood | 66, 0.32%, see rank | 4.39% | 2.12% |
Solar Energy | 7, 0.03%, see rank | 0.03% | 0.05% |
Other Fuel | 79, 0.38%, see rank | 0.63% | 0.47% |
No Fuel Used | 158, 0.76%, see rank | 0.36% | 1.00% |
ACS 2008-2012 data
| 98115 Zip Code | Washington | U.S. |
Total Housing Units | 20,347, 100% | 2,619,995 | 115,226,802 |
Utility Gas | 9,474, 46.56%, see rank | 35.49% | 49.42% |
Bottled, Tank, or LP Gas | 179, 0.88%, see rank | 3.25% | 5.03% |
Electricity | 7,577, 37.24%, see rank | 52.97% | 35.51% |
Fuel Oil, Kerosene, etc. | 2,943, 14.46%, see rank | 2.89% | 6.46% |
Coal or Coke | 16, 0.08%, see rank | 0.02% | 0.12% |
Wood | 33, 0.16%, see rank | 4.46% | 2.08% |
Solar Energy | 10, 0.05%, see rank | 0.03% | 0.04% |
Other Fuel | 41, 0.20%, see rank | 0.63% | 0.43% |
No Fuel Used | 74, 0.36%, see rank | 0.25% | 0.90% |
US Census 2000 data
| 98115 Zip Code | Washington | U.S. |
Total Housing Units | 19,456, 100% | 2,271,398 | 105,480,101 |
Utility Gas | 7,555, 38.83%, see rank | 32.88% | 51.22% |
Bottled, Tank, or LP Gas | 93, 0.48%, see rank | 3.06% | 6.52% |
Electricity | 6,847, 35.19%, see rank | 52.93% | 30.35% |
Fuel Oil, Kerosene, etc. | 4,842, 24.89%, see rank | 5.58% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.14% |
Wood | 36, 0.19%, see rank | 4.71% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 64, 0.33%, see rank | 0.61% | 0.39% |
No Fuel Used | 19, 0.10%, 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.