99114 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 99114 Zip Code | Washington | U.S. |
Total Housing Units | 5,074, 100% | 2,645,396 | 116,211,092 |
Utility Gas | 1,392, 27.43%, see rank | 35.08% | 48.85% |
Bottled, Tank, or LP Gas | 235, 4.63%, see rank | 3.08% | 4.86% |
Electricity | 1,712, 33.74%, see rank | 53.93% | 36.68% |
Fuel Oil, Kerosene, etc. | 52, 1.02%, see rank | 2.50% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 1,557, 30.69%, see rank | 4.39% | 2.12% |
Solar Energy | 5, 0.10%, see rank | 0.03% | 0.05% |
Other Fuel | 101, 1.99%, see rank | 0.63% | 0.47% |
No Fuel Used | 20, 0.39%, see rank | 0.36% | 1.00% |
ACS 2008-2012 data
| 99114 Zip Code | Washington | U.S. |
Total Housing Units | 5,152, 100% | 2,619,995 | 115,226,802 |
Utility Gas | 1,385, 26.88%, see rank | 35.49% | 49.42% |
Bottled, Tank, or LP Gas | 231, 4.48%, see rank | 3.25% | 5.03% |
Electricity | 1,751, 33.99%, see rank | 52.97% | 35.51% |
Fuel Oil, Kerosene, etc. | 59, 1.15%, see rank | 2.89% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.12% |
Wood | 1,562, 30.32%, see rank | 4.46% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
Other Fuel | 143, 2.78%, see rank | 0.63% | 0.43% |
No Fuel Used | 21, 0.41%, see rank | 0.25% | 0.90% |
US Census 2000 data
| 99114 Zip Code | Washington | U.S. |
Total Housing Units | 4,776, 100% | 2,271,398 | 105,480,101 |
Utility Gas | 1,382, 28.94%, see rank | 32.88% | 51.22% |
Bottled, Tank, or LP Gas | 247, 5.17%, see rank | 3.06% | 6.52% |
Electricity | 1,366, 28.60%, see rank | 52.93% | 30.35% |
Fuel Oil, Kerosene, etc. | 219, 4.59%, see rank | 5.58% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.14% |
Wood | 1,531, 32.06%, see rank | 4.71% | 1.68% |
Solar Energy | 6, 0.13%, see rank | 0.02% | 0.04% |
Other Fuel | 25, 0.52%, 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.