54751 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 54751 Zip Code | Wisconsin | U.S. |
Total Housing Units | 9,356, 100% | 2,293,250 | 116,211,092 |
Utility Gas | 3,559, 38.04%, see rank | 65.30% | 48.85% |
Bottled, Tank, or LP Gas | 1,793, 19.16%, see rank | 10.88% | 4.86% |
Electricity | 2,824, 30.18%, see rank | 14.81% | 36.68% |
Fuel Oil, Kerosene, etc. | 301, 3.22%, see rank | 3.02% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 732, 7.82%, see rank | 4.57% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
Other Fuel | 125, 1.34%, see rank | 0.94% | 0.47% |
No Fuel Used | 22, 0.24%, see rank | 0.44% | 1.00% |
ACS 2008-2012 data
| 54751 Zip Code | Wisconsin | U.S. |
Total Housing Units | 9,319, 100% | 2,286,339 | 115,226,802 |
Utility Gas | 3,853, 41.35%, see rank | 65.77% | 49.42% |
Bottled, Tank, or LP Gas | 1,671, 17.93%, see rank | 10.80% | 5.03% |
Electricity | 2,515, 26.99%, see rank | 13.95% | 35.51% |
Fuel Oil, Kerosene, etc. | 377, 4.05%, see rank | 3.63% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 724, 7.77%, see rank | 4.56% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 135, 1.45%, see rank | 0.89% | 0.43% |
No Fuel Used | 44, 0.47%, see rank | 0.36% | 0.90% |
US Census 2000 data
| 54751 Zip Code | Wisconsin | U.S. |
Total Housing Units | 8,195, 100% | 2,084,544 | 105,480,101 |
Utility Gas | 3,270, 39.90%, see rank | 66.40% | 51.22% |
Bottled, Tank, or LP Gas | 1,606, 19.60%, see rank | 10.96% | 6.52% |
Electricity | 2,024, 24.70%, see rank | 11.36% | 30.35% |
Fuel Oil, Kerosene, etc. | 877, 10.70%, see rank | 7.60% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.14% |
Wood | 358, 4.37%, see rank | 2.73% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 31, 0.38%, see rank | 0.64% | 0.39% |
No Fuel Used | 29, 0.35%, 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.