53705 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 53705 Zip Code | Wisconsin | U.S. |
Total Housing Units | 11,438, 100% | 2,293,250 | 116,211,092 |
Utility Gas | 7,914, 69.19%, see rank | 65.30% | 48.85% |
Bottled, Tank, or LP Gas | 129, 1.13%, see rank | 10.88% | 4.86% |
Electricity | 2,908, 25.42%, see rank | 14.81% | 36.68% |
Fuel Oil, Kerosene, etc. | 128, 1.12%, see rank | 3.02% | 5.86% |
Coal or Coke | 24, 0.21%, see rank | 0.01% | 0.12% |
Wood | 98, 0.86%, see rank | 4.57% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
Other Fuel | 126, 1.10%, see rank | 0.94% | 0.47% |
No Fuel Used | 111, 0.97%, see rank | 0.44% | 1.00% |
ACS 2008-2012 data
| 53705 Zip Code | Wisconsin | U.S. |
Total Housing Units | 11,362, 100% | 2,286,339 | 115,226,802 |
Utility Gas | 7,900, 69.53%, see rank | 65.77% | 49.42% |
Bottled, Tank, or LP Gas | 163, 1.43%, see rank | 10.80% | 5.03% |
Electricity | 2,797, 24.62%, see rank | 13.95% | 35.51% |
Fuel Oil, Kerosene, etc. | 173, 1.52%, see rank | 3.63% | 6.46% |
Coal or Coke | 35, 0.31%, see rank | 0.01% | 0.12% |
Wood | 78, 0.69%, see rank | 4.56% | 2.08% |
Solar Energy | 12, 0.11%, see rank | 0.02% | 0.04% |
Other Fuel | 121, 1.06%, see rank | 0.89% | 0.43% |
No Fuel Used | 83, 0.73%, see rank | 0.36% | 0.90% |
US Census 2000 data
| 53705 Zip Code | Wisconsin | U.S. |
Total Housing Units | 13,327, 100% | 2,084,544 | 105,480,101 |
Utility Gas | 9,840, 73.84%, see rank | 66.40% | 51.22% |
Bottled, Tank, or LP Gas | 94, 0.71%, see rank | 10.96% | 6.52% |
Electricity | 2,751, 20.64%, see rank | 11.36% | 30.35% |
Fuel Oil, Kerosene, etc. | 349, 2.62%, see rank | 7.60% | 8.97% |
Coal or Coke | 17, 0.13%, see rank | 0.02% | 0.14% |
Wood | 5, 0.04%, see rank | 2.73% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 144, 1.08%, see rank | 0.64% | 0.39% |
No Fuel Used | 127, 0.95%, see rank | 0.27% | 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.