53916 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 53916 Zip Code | Wisconsin | U.S. |
Total Housing Units | 8,993, 100% | 2,293,250 | 116,211,092 |
Utility Gas | 6,063, 67.42%, see rank | 65.30% | 48.85% |
Bottled, Tank, or LP Gas | 834, 9.27%, see rank | 10.88% | 4.86% |
Electricity | 1,500, 16.68%, see rank | 14.81% | 36.68% |
Fuel Oil, Kerosene, etc. | 168, 1.87%, see rank | 3.02% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 244, 2.71%, see rank | 4.57% | 2.12% |
Solar Energy | 3, 0.03%, see rank | 0.03% | 0.05% |
Other Fuel | 97, 1.08%, see rank | 0.94% | 0.47% |
No Fuel Used | 84, 0.93%, see rank | 0.44% | 1.00% |
ACS 2008-2012 data
| 53916 Zip Code | Wisconsin | U.S. |
Total Housing Units | 9,207, 100% | 2,286,339 | 115,226,802 |
Utility Gas | 6,490, 70.49%, see rank | 65.77% | 49.42% |
Bottled, Tank, or LP Gas | 803, 8.72%, see rank | 10.80% | 5.03% |
Electricity | 1,287, 13.98%, see rank | 13.95% | 35.51% |
Fuel Oil, Kerosene, etc. | 190, 2.06%, see rank | 3.63% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 281, 3.05%, see rank | 4.56% | 2.08% |
Solar Energy | 3, 0.03%, see rank | 0.02% | 0.04% |
Other Fuel | 75, 0.81%, see rank | 0.89% | 0.43% |
No Fuel Used | 78, 0.85%, see rank | 0.36% | 0.90% |
US Census 2000 data
| 53916 Zip Code | Wisconsin | U.S. |
Total Housing Units | 8,541, 100% | 2,084,544 | 105,480,101 |
Utility Gas | 5,948, 69.64%, see rank | 66.40% | 51.22% |
Bottled, Tank, or LP Gas | 766, 8.97%, see rank | 10.96% | 6.52% |
Electricity | 1,024, 11.99%, see rank | 11.36% | 30.35% |
Fuel Oil, Kerosene, etc. | 472, 5.53%, see rank | 7.60% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.14% |
Wood | 119, 1.39%, see rank | 2.73% | 1.68% |
Solar Energy | 6, 0.07%, see rank | 0.02% | 0.04% |
Other Fuel | 153, 1.79%, see rank | 0.64% | 0.39% |
No Fuel Used | 53, 0.62%, 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.