98503 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 98503 Zip Code | Washington | U.S. |
Total Housing Units | 14,667, 100% | 2,645,396 | 116,211,092 |
Utility Gas | 6,358, 43.35%, see rank | 35.08% | 48.85% |
Bottled, Tank, or LP Gas | 103, 0.70%, see rank | 3.08% | 4.86% |
Electricity | 7,740, 52.77%, see rank | 53.93% | 36.68% |
Fuel Oil, Kerosene, etc. | 127, 0.87%, see rank | 2.50% | 5.86% |
Coal or Coke | 18, 0.12%, see rank | 0.01% | 0.12% |
Wood | 270, 1.84%, see rank | 4.39% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
Other Fuel | 22, 0.15%, see rank | 0.63% | 0.47% |
No Fuel Used | 29, 0.20%, see rank | 0.36% | 1.00% |
ACS 2008-2012 data
| 98503 Zip Code | Washington | U.S. |
Total Housing Units | 14,824, 100% | 2,619,995 | 115,226,802 |
Utility Gas | 6,362, 42.92%, see rank | 35.49% | 49.42% |
Bottled, Tank, or LP Gas | 86, 0.58%, see rank | 3.25% | 5.03% |
Electricity | 7,916, 53.40%, see rank | 52.97% | 35.51% |
Fuel Oil, Kerosene, etc. | 148, 1.00%, see rank | 2.89% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.12% |
Wood | 241, 1.63%, see rank | 4.46% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
Other Fuel | 27, 0.18%, see rank | 0.63% | 0.43% |
No Fuel Used | 44, 0.30%, see rank | 0.25% | 0.90% |
US Census 2000 data
| 98503 Zip Code | Washington | U.S. |
Total Housing Units | 12,801, 100% | 2,271,398 | 105,480,101 |
Utility Gas | 6,466, 50.51%, see rank | 32.88% | 51.22% |
Bottled, Tank, or LP Gas | 63, 0.49%, see rank | 3.06% | 6.52% |
Electricity | 5,935, 46.36%, see rank | 52.93% | 30.35% |
Fuel Oil, Kerosene, etc. | 105, 0.82%, see rank | 5.58% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.14% |
Wood | 219, 1.71%, 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 | 13, 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.