56089 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 56089 Zip Code | Minnesota | U.S. |
| Total Housing Units | 88, 100% | 2,115,337 | 116,211,092 |
| Utility Gas | 81, 92.05%, see rank | 66.78% | 48.85% |
| Bottled, Tank, or LP Gas | 3, 3.41%, see rank | 10.05% | 4.86% |
| Electricity | 3, 3.41%, see rank | 16.13% | 36.68% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 2.62% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.12% |
| Wood | 1, 1.14%, see rank | 2.55% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 1.17% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.65% | 1.00% |
ACS 2008-2012 data
| | 56089 Zip Code | Minnesota | U.S. |
| Total Housing Units | 85, 100% | 2,101,875 | 115,226,802 |
| Utility Gas | 75, 88.24%, see rank | 67.41% | 49.42% |
| Bottled, Tank, or LP Gas | 5, 5.88%, see rank | 9.97% | 5.03% |
| Electricity | 3, 3.53%, see rank | 15.14% | 35.51% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 3.14% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.12% |
| Wood | 2, 2.35%, see rank | 2.55% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 1.20% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.55% | 0.90% |
US Census 2000 data
| | 56089 Zip Code | Minnesota | U.S. |
| Total Housing Units | 109, 100% | 1,895,127 | 105,480,101 |
| Utility Gas | 83, 76.15%, see rank | 67.61% | 51.22% |
| Bottled, Tank, or LP Gas | 19, 17.43%, see rank | 10.40% | 6.52% |
| Electricity | 3, 2.75%, see rank | 12.09% | 30.35% |
| Fuel Oil, Kerosene, etc. | 2, 1.83%, see rank | 6.41% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.14% |
| Wood | 2, 1.83%, 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 | 0, 0.00%, 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.
