Mill Creek East, WA Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| Mill Creek East, WA | Washington | U.S. |
Total Housing Units | 5,865, 100% | 2,645,396 | 116,211,092 |
Utility Gas | 3,746, 63.87%, see rank | 35.08% | 48.85% |
Bottled, Tank, or LP Gas | 106, 1.81%, see rank | 3.08% | 4.86% |
Electricity | 1,852, 31.58%, see rank | 53.93% | 36.68% |
Fuel Oil, Kerosene, etc. | 13, 0.22%, see rank | 2.50% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 123, 2.10%, 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 | 25, 0.43%, see rank | 0.36% | 1.00% |
ACS 2008-2012 data
| Mill Creek East, WA | Washington | U.S. |
Total Housing Units | 5,509, 100% | 2,619,995 | 115,226,802 |
Utility Gas | 3,459, 62.79%, see rank | 35.49% | 49.42% |
Bottled, Tank, or LP Gas | 105, 1.91%, see rank | 3.25% | 5.03% |
Electricity | 1,819, 33.02%, see rank | 52.97% | 35.51% |
Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 2.89% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.12% |
Wood | 110, 2.00%, see rank | 4.46% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
Other Fuel | 8, 0.15%, see rank | 0.63% | 0.43% |
No Fuel Used | 8, 0.15%, see rank | 0.25% | 0.90% |
ACS 2006-2010 data
| Mill Creek East, WA | Washington | U.S. |
Total Housing Units | 5,019, 100% | 2,577,375 | 114,235,996 |
Utility Gas | 2,979, 59.35%, see rank | 35.34% | 49.91% |
Bottled, Tank, or LP Gas | 118, 2.35%, see rank | 3.46% | 5.38% |
Electricity | 1,770, 35.27%, see rank | 52.39% | 34.20% |
Fuel Oil, Kerosene, etc. | 12, 0.24%, see rank | 3.39% | 7.07% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.12% |
Wood | 124, 2.47%, see rank | 4.51% | 1.97% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.03% |
Other Fuel | 7, 0.14%, see rank | 0.60% | 0.42% |
No Fuel Used | 9, 0.18%, see rank | 0.26% | 0.90% |
* 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.