56748 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 56748 Zip Code | Minnesota | U.S. |
| Total Housing Units | 302, 100% | 2,115,337 | 116,211,092 |
| Utility Gas | 19, 6.29%, see rank | 66.78% | 48.85% |
| Bottled, Tank, or LP Gas | 108, 35.76%, see rank | 10.05% | 4.86% |
| Electricity | 81, 26.82%, see rank | 16.13% | 36.68% |
| Fuel Oil, Kerosene, etc. | 56, 18.54%, see rank | 2.62% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.12% |
| Wood | 37, 12.25%, see rank | 2.55% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
| Other Fuel | 1, 0.33%, see rank | 1.17% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.65% | 1.00% |
ACS 2008-2012 data
| | 56748 Zip Code | Minnesota | U.S. |
| Total Housing Units | 290, 100% | 2,101,875 | 115,226,802 |
| Utility Gas | 6, 2.07%, see rank | 67.41% | 49.42% |
| Bottled, Tank, or LP Gas | 103, 35.52%, see rank | 9.97% | 5.03% |
| Electricity | 81, 27.93%, see rank | 15.14% | 35.51% |
| Fuel Oil, Kerosene, etc. | 61, 21.03%, see rank | 3.14% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.12% |
| Wood | 32, 11.03%, see rank | 2.55% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
| Other Fuel | 7, 2.41%, see rank | 1.20% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.55% | 0.90% |
US Census 2000 data
| | 56748 Zip Code | Minnesota | U.S. |
| Total Housing Units | 271, 100% | 1,895,127 | 105,480,101 |
| Utility Gas | 4, 1.48%, see rank | 67.61% | 51.22% |
| Bottled, Tank, or LP Gas | 72, 26.57%, see rank | 10.40% | 6.52% |
| Electricity | 80, 29.52%, see rank | 12.09% | 30.35% |
| Fuel Oil, Kerosene, etc. | 78, 28.78%, see rank | 6.41% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.14% |
| Wood | 35, 12.92%, see rank | 1.95% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 1.00% | 0.39% |
| No Fuel Used | 2, 0.74%, see rank | 0.51% | 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.
