54615 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 54615 Zip Code | Wisconsin | U.S. |
Total Housing Units | 4,167, 100% | 2,293,250 | 116,211,092 |
Utility Gas | 1,880, 45.12%, see rank | 65.30% | 48.85% |
Bottled, Tank, or LP Gas | 1,108, 26.59%, see rank | 10.88% | 4.86% |
Electricity | 616, 14.78%, see rank | 14.81% | 36.68% |
Fuel Oil, Kerosene, etc. | 193, 4.63%, see rank | 3.02% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 304, 7.30%, see rank | 4.57% | 2.12% |
Solar Energy | 4, 0.10%, see rank | 0.03% | 0.05% |
Other Fuel | 53, 1.27%, see rank | 0.94% | 0.47% |
No Fuel Used | 9, 0.22%, see rank | 0.44% | 1.00% |
ACS 2008-2012 data
| 54615 Zip Code | Wisconsin | U.S. |
Total Housing Units | 4,379, 100% | 2,286,339 | 115,226,802 |
Utility Gas | 1,862, 42.52%, see rank | 65.77% | 49.42% |
Bottled, Tank, or LP Gas | 1,110, 25.35%, see rank | 10.80% | 5.03% |
Electricity | 775, 17.70%, see rank | 13.95% | 35.51% |
Fuel Oil, Kerosene, etc. | 257, 5.87%, see rank | 3.63% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 318, 7.26%, see rank | 4.56% | 2.08% |
Solar Energy | 3, 0.07%, see rank | 0.02% | 0.04% |
Other Fuel | 51, 1.16%, see rank | 0.89% | 0.43% |
No Fuel Used | 3, 0.07%, see rank | 0.36% | 0.90% |
US Census 2000 data
| 54615 Zip Code | Wisconsin | U.S. |
Total Housing Units | 3,686, 100% | 2,084,544 | 105,480,101 |
Utility Gas | 1,331, 36.11%, see rank | 66.40% | 51.22% |
Bottled, Tank, or LP Gas | 1,000, 27.13%, see rank | 10.96% | 6.52% |
Electricity | 701, 19.02%, see rank | 11.36% | 30.35% |
Fuel Oil, Kerosene, etc. | 422, 11.45%, see rank | 7.60% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.14% |
Wood | 204, 5.53%, see rank | 2.73% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 19, 0.52%, see rank | 0.64% | 0.39% |
No Fuel Used | 9, 0.24%, 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.