56501 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 56501 Zip Code | Minnesota | U.S. |
Total Housing Units | 7,145, 100% | 2,115,337 | 116,211,092 |
Utility Gas | 2,437, 34.11%, see rank | 66.78% | 48.85% |
Bottled, Tank, or LP Gas | 1,477, 20.67%, see rank | 10.05% | 4.86% |
Electricity | 2,429, 34.00%, see rank | 16.13% | 36.68% |
Fuel Oil, Kerosene, etc. | 284, 3.97%, see rank | 2.62% | 5.86% |
Coal or Coke | 2, 0.03%, see rank | 0.03% | 0.12% |
Wood | 370, 5.18%, see rank | 2.55% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
Other Fuel | 94, 1.32%, see rank | 1.17% | 0.47% |
No Fuel Used | 52, 0.73%, see rank | 0.65% | 1.00% |
ACS 2008-2012 data
| 56501 Zip Code | Minnesota | U.S. |
Total Housing Units | 7,153, 100% | 2,101,875 | 115,226,802 |
Utility Gas | 2,466, 34.48%, see rank | 67.41% | 49.42% |
Bottled, Tank, or LP Gas | 1,491, 20.84%, see rank | 9.97% | 5.03% |
Electricity | 2,396, 33.50%, see rank | 15.14% | 35.51% |
Fuel Oil, Kerosene, etc. | 362, 5.06%, see rank | 3.14% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.12% |
Wood | 340, 4.75%, see rank | 2.55% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 61, 0.85%, see rank | 1.20% | 0.43% |
No Fuel Used | 37, 0.52%, see rank | 0.55% | 0.90% |
US Census 2000 data
| 56501 Zip Code | Minnesota | U.S. |
Total Housing Units | 6,256, 100% | 1,895,127 | 105,480,101 |
Utility Gas | 2,421, 38.70%, see rank | 67.61% | 51.22% |
Bottled, Tank, or LP Gas | 1,434, 22.92%, see rank | 10.40% | 6.52% |
Electricity | 1,338, 21.39%, see rank | 12.09% | 30.35% |
Fuel Oil, Kerosene, etc. | 644, 10.29%, see rank | 6.41% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.14% |
Wood | 356, 5.69%, see rank | 1.95% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 40, 0.64%, see rank | 1.00% | 0.39% |
No Fuel Used | 23, 0.37%, 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.