55746 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 55746 Zip Code | Minnesota | U.S. |
Total Housing Units | 7,794, 100% | 2,115,337 | 116,211,092 |
Utility Gas | 3,339, 42.84%, see rank | 66.78% | 48.85% |
Bottled, Tank, or LP Gas | 581, 7.45%, see rank | 10.05% | 4.86% |
Electricity | 1,477, 18.95%, see rank | 16.13% | 36.68% |
Fuel Oil, Kerosene, etc. | 1,094, 14.04%, see rank | 2.62% | 5.86% |
Coal or Coke | 46, 0.59%, see rank | 0.03% | 0.12% |
Wood | 327, 4.20%, see rank | 2.55% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
Other Fuel | 784, 10.06%, see rank | 1.17% | 0.47% |
No Fuel Used | 146, 1.87%, see rank | 0.65% | 1.00% |
ACS 2008-2012 data
| 55746 Zip Code | Minnesota | U.S. |
Total Housing Units | 7,903, 100% | 2,101,875 | 115,226,802 |
Utility Gas | 3,192, 40.39%, see rank | 67.41% | 49.42% |
Bottled, Tank, or LP Gas | 465, 5.88%, see rank | 9.97% | 5.03% |
Electricity | 1,518, 19.21%, see rank | 15.14% | 35.51% |
Fuel Oil, Kerosene, etc. | 1,218, 15.41%, see rank | 3.14% | 6.46% |
Coal or Coke | 49, 0.62%, see rank | 0.02% | 0.12% |
Wood | 398, 5.04%, see rank | 2.55% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 915, 11.58%, see rank | 1.20% | 0.43% |
No Fuel Used | 148, 1.87%, see rank | 0.55% | 0.90% |
US Census 2000 data
| 55746 Zip Code | Minnesota | U.S. |
Total Housing Units | 7,851, 100% | 1,895,127 | 105,480,101 |
Utility Gas | 2,865, 36.49%, see rank | 67.61% | 51.22% |
Bottled, Tank, or LP Gas | 542, 6.90%, see rank | 10.40% | 6.52% |
Electricity | 775, 9.87%, see rank | 12.09% | 30.35% |
Fuel Oil, Kerosene, etc. | 1,870, 23.82%, see rank | 6.41% | 8.97% |
Coal or Coke | 34, 0.43%, see rank | 0.02% | 0.14% |
Wood | 261, 3.32%, see rank | 1.95% | 1.68% |
Solar Energy | 8, 0.10%, see rank | 0.02% | 0.04% |
Other Fuel | 1,180, 15.03%, see rank | 1.00% | 0.39% |
No Fuel Used | 316, 4.02%, 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.