53561 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 53561 Zip Code | Wisconsin | U.S. |
| Total Housing Units | 653, 100% | 2,293,250 | 116,211,092 |
| Utility Gas | 390, 59.72%, see rank | 65.30% | 48.85% |
| Bottled, Tank, or LP Gas | 145, 22.21%, see rank | 10.88% | 4.86% |
| Electricity | 75, 11.49%, see rank | 14.81% | 36.68% |
| Fuel Oil, Kerosene, etc. | 4, 0.61%, see rank | 3.02% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 34, 5.21%, see rank | 4.57% | 2.12% |
| Solar Energy | 3, 0.46%, see rank | 0.03% | 0.05% |
| Other Fuel | 2, 0.31%, see rank | 0.94% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.44% | 1.00% |
ACS 2008-2012 data
| | 53561 Zip Code | Wisconsin | U.S. |
| Total Housing Units | 662, 100% | 2,286,339 | 115,226,802 |
| Utility Gas | 350, 52.87%, see rank | 65.77% | 49.42% |
| Bottled, Tank, or LP Gas | 156, 23.56%, see rank | 10.80% | 5.03% |
| Electricity | 88, 13.29%, see rank | 13.95% | 35.51% |
| Fuel Oil, Kerosene, etc. | 6, 0.91%, see rank | 3.63% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 60, 9.06%, see rank | 4.56% | 2.08% |
| Solar Energy | 2, 0.30%, see rank | 0.02% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.89% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.36% | 0.90% |
US Census 2000 data
| | 53561 Zip Code | Wisconsin | U.S. |
| Total Housing Units | 642, 100% | 2,084,544 | 105,480,101 |
| Utility Gas | 378, 58.88%, see rank | 66.40% | 51.22% |
| Bottled, Tank, or LP Gas | 152, 23.68%, see rank | 10.96% | 6.52% |
| Electricity | 54, 8.41%, see rank | 11.36% | 30.35% |
| Fuel Oil, Kerosene, etc. | 17, 2.65%, see rank | 7.60% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.14% |
| Wood | 38, 5.92%, see rank | 2.73% | 1.68% |
| Solar Energy | 1, 0.16%, see rank | 0.02% | 0.04% |
| Other Fuel | 2, 0.31%, see rank | 0.64% | 0.39% |
| No Fuel Used | 0, 0.00%, 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.
