98012 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 98012 Zip Code | Washington | U.S. |
Total Housing Units | 20,290, 100% | 2,645,396 | 116,211,092 |
Utility Gas | 11,329, 55.84%, see rank | 35.08% | 48.85% |
Bottled, Tank, or LP Gas | 291, 1.43%, see rank | 3.08% | 4.86% |
Electricity | 8,289, 40.85%, see rank | 53.93% | 36.68% |
Fuel Oil, Kerosene, etc. | 90, 0.44%, see rank | 2.50% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 223, 1.10%, see rank | 4.39% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
Other Fuel | 30, 0.15%, see rank | 0.63% | 0.47% |
No Fuel Used | 38, 0.19%, see rank | 0.36% | 1.00% |
ACS 2008-2012 data
| 98012 Zip Code | Washington | U.S. |
Total Housing Units | 19,758, 100% | 2,619,995 | 115,226,802 |
Utility Gas | 11,459, 58.00%, see rank | 35.49% | 49.42% |
Bottled, Tank, or LP Gas | 347, 1.76%, see rank | 3.25% | 5.03% |
Electricity | 7,609, 38.51%, see rank | 52.97% | 35.51% |
Fuel Oil, Kerosene, etc. | 95, 0.48%, see rank | 2.89% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.12% |
Wood | 216, 1.09%, see rank | 4.46% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
Other Fuel | 8, 0.04%, see rank | 0.63% | 0.43% |
No Fuel Used | 24, 0.12%, see rank | 0.25% | 0.90% |
US Census 2000 data
| 98012 Zip Code | Washington | U.S. |
Total Housing Units | 14,201, 100% | 2,271,398 | 105,480,101 |
Utility Gas | 6,628, 46.67%, see rank | 32.88% | 51.22% |
Bottled, Tank, or LP Gas | 167, 1.18%, see rank | 3.06% | 6.52% |
Electricity | 7,064, 49.74%, see rank | 52.93% | 30.35% |
Fuel Oil, Kerosene, etc. | 113, 0.80%, see rank | 5.58% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.14% |
Wood | 220, 1.55%, 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 | 9, 0.06%, 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.