99181 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 99181 Zip Code | Washington | U.S. |
| Total Housing Units | 764, 100% | 2,645,396 | 116,211,092 |
| Utility Gas | 40, 5.24%, see rank | 35.08% | 48.85% |
| Bottled, Tank, or LP Gas | 74, 9.69%, see rank | 3.08% | 4.86% |
| Electricity | 238, 31.15%, see rank | 53.93% | 36.68% |
| Fuel Oil, Kerosene, etc. | 27, 3.53%, see rank | 2.50% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 373, 48.82%, see rank | 4.39% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
| Other Fuel | 12, 1.57%, see rank | 0.63% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.36% | 1.00% |
ACS 2008-2012 data
| | 99181 Zip Code | Washington | U.S. |
| Total Housing Units | 714, 100% | 2,619,995 | 115,226,802 |
| Utility Gas | 42, 5.88%, see rank | 35.49% | 49.42% |
| Bottled, Tank, or LP Gas | 61, 8.54%, see rank | 3.25% | 5.03% |
| Electricity | 232, 32.49%, see rank | 52.97% | 35.51% |
| Fuel Oil, Kerosene, etc. | 28, 3.92%, see rank | 2.89% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.12% |
| Wood | 343, 48.04%, see rank | 4.46% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
| Other Fuel | 8, 1.12%, see rank | 0.63% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.25% | 0.90% |
US Census 2000 data
| | 99181 Zip Code | Washington | U.S. |
| Total Housing Units | 682, 100% | 2,271,398 | 105,480,101 |
| Utility Gas | 14, 2.05%, see rank | 32.88% | 51.22% |
| Bottled, Tank, or LP Gas | 82, 12.02%, see rank | 3.06% | 6.52% |
| Electricity | 165, 24.19%, see rank | 52.93% | 30.35% |
| Fuel Oil, Kerosene, etc. | 85, 12.46%, see rank | 5.58% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.14% |
| Wood | 315, 46.19%, see rank | 4.71% | 1.68% |
| Solar Energy | 2, 0.29%, see rank | 0.02% | 0.04% |
| Other Fuel | 19, 2.79%, 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.
