53818 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 53818 Zip Code | Wisconsin | U.S. |
Total Housing Units | 4,972, 100% | 2,293,250 | 116,211,092 |
Utility Gas | 2,394, 48.15%, see rank | 65.30% | 48.85% |
Bottled, Tank, or LP Gas | 624, 12.55%, see rank | 10.88% | 4.86% |
Electricity | 1,241, 24.96%, see rank | 14.81% | 36.68% |
Fuel Oil, Kerosene, etc. | 452, 9.09%, see rank | 3.02% | 5.86% |
Coal or Coke | 2, 0.04%, see rank | 0.01% | 0.12% |
Wood | 197, 3.96%, see rank | 4.57% | 2.12% |
Solar Energy | 2, 0.04%, see rank | 0.03% | 0.05% |
Other Fuel | 28, 0.56%, see rank | 0.94% | 0.47% |
No Fuel Used | 32, 0.64%, see rank | 0.44% | 1.00% |
ACS 2008-2012 data
| 53818 Zip Code | Wisconsin | U.S. |
Total Housing Units | 4,922, 100% | 2,286,339 | 115,226,802 |
Utility Gas | 2,432, 49.41%, see rank | 65.77% | 49.42% |
Bottled, Tank, or LP Gas | 600, 12.19%, see rank | 10.80% | 5.03% |
Electricity | 1,164, 23.65%, see rank | 13.95% | 35.51% |
Fuel Oil, Kerosene, etc. | 453, 9.20%, see rank | 3.63% | 6.46% |
Coal or Coke | 1, 0.02%, see rank | 0.01% | 0.12% |
Wood | 245, 4.98%, see rank | 4.56% | 2.08% |
Solar Energy | 2, 0.04%, see rank | 0.02% | 0.04% |
Other Fuel | 7, 0.14%, see rank | 0.89% | 0.43% |
No Fuel Used | 18, 0.37%, see rank | 0.36% | 0.90% |
US Census 2000 data
| 53818 Zip Code | Wisconsin | U.S. |
Total Housing Units | 4,528, 100% | 2,084,544 | 105,480,101 |
Utility Gas | 2,026, 44.74%, see rank | 66.40% | 51.22% |
Bottled, Tank, or LP Gas | 509, 11.24%, see rank | 10.96% | 6.52% |
Electricity | 992, 21.91%, see rank | 11.36% | 30.35% |
Fuel Oil, Kerosene, etc. | 818, 18.07%, see rank | 7.60% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.14% |
Wood | 147, 3.25%, see rank | 2.73% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 24, 0.53%, see rank | 0.64% | 0.39% |
No Fuel Used | 12, 0.27%, 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.