54902 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 54902 Zip Code | Wisconsin | U.S. |
Total Housing Units | 9,918, 100% | 2,293,250 | 116,211,092 |
Utility Gas | 7,581, 76.44%, see rank | 65.30% | 48.85% |
Bottled, Tank, or LP Gas | 162, 1.63%, see rank | 10.88% | 4.86% |
Electricity | 1,718, 17.32%, see rank | 14.81% | 36.68% |
Fuel Oil, Kerosene, etc. | 37, 0.37%, see rank | 3.02% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 177, 1.78%, see rank | 4.57% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
Other Fuel | 127, 1.28%, see rank | 0.94% | 0.47% |
No Fuel Used | 116, 1.17%, see rank | 0.44% | 1.00% |
ACS 2008-2012 data
| 54902 Zip Code | Wisconsin | U.S. |
Total Housing Units | 9,826, 100% | 2,286,339 | 115,226,802 |
Utility Gas | 7,768, 79.06%, see rank | 65.77% | 49.42% |
Bottled, Tank, or LP Gas | 246, 2.50%, see rank | 10.80% | 5.03% |
Electricity | 1,364, 13.88%, see rank | 13.95% | 35.51% |
Fuel Oil, Kerosene, etc. | 32, 0.33%, see rank | 3.63% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 179, 1.82%, see rank | 4.56% | 2.08% |
Solar Energy | 6, 0.06%, see rank | 0.02% | 0.04% |
Other Fuel | 136, 1.38%, see rank | 0.89% | 0.43% |
No Fuel Used | 95, 0.97%, see rank | 0.36% | 0.90% |
US Census 2000 data
| 54902 Zip Code | Wisconsin | U.S. |
Total Housing Units | 9,849, 100% | 2,084,544 | 105,480,101 |
Utility Gas | 8,077, 82.01%, see rank | 66.40% | 51.22% |
Bottled, Tank, or LP Gas | 256, 2.60%, see rank | 10.96% | 6.52% |
Electricity | 1,192, 12.10%, see rank | 11.36% | 30.35% |
Fuel Oil, Kerosene, etc. | 117, 1.19%, see rank | 7.60% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.14% |
Wood | 36, 0.37%, see rank | 2.73% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 140, 1.42%, see rank | 0.64% | 0.39% |
No Fuel Used | 31, 0.31%, 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.