Krakow, WI Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Krakow, WI | Wisconsin | U.S. |
| Total Housing Units | 173, 100% | 2,293,250 | 116,211,092 |
| Utility Gas | 132, 76.30%, see rank | 65.30% | 48.85% |
| Bottled, Tank, or LP Gas | 16, 9.25%, see rank | 10.88% | 4.86% |
| Electricity | 6, 3.47%, see rank | 14.81% | 36.68% |
| Fuel Oil, Kerosene, etc. | 9, 5.20%, see rank | 3.02% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 6, 3.47%, see rank | 4.57% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
| Other Fuel | 4, 2.31%, see rank | 0.94% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.44% | 1.00% |
ACS 2008-2012 data
| | Krakow, WI | Wisconsin | U.S. |
| Total Housing Units | 155, 100% | 2,286,339 | 115,226,802 |
| Utility Gas | 128, 82.58%, see rank | 65.77% | 49.42% |
| Bottled, Tank, or LP Gas | 9, 5.81%, see rank | 10.80% | 5.03% |
| Electricity | 3, 1.94%, see rank | 13.95% | 35.51% |
| Fuel Oil, Kerosene, etc. | 2, 1.29%, see rank | 3.63% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 6, 3.87%, see rank | 4.56% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 7, 4.52%, see rank | 0.89% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.36% | 0.90% |
ACS 2006-2010 data
| | Krakow, WI | Wisconsin | U.S. |
| Total Housing Units | 178, 100% | 2,274,611 | 114,235,996 |
| Utility Gas | 139, 78.09%, see rank | 66.07% | 49.91% |
| Bottled, Tank, or LP Gas | 7, 3.93%, see rank | 11.02% | 5.38% |
| Electricity | 17, 9.55%, see rank | 13.04% | 34.20% |
| Fuel Oil, Kerosene, etc. | 6, 3.37%, see rank | 4.36% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 4, 2.25%, see rank | 4.28% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Fuel | 5, 2.81%, see rank | 0.88% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 0.33% | 0.90% |
* 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.
