56560 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 56560 Zip Code | Minnesota | U.S. |
Total Housing Units | 15,455, 100% | 2,115,337 | 116,211,092 |
Utility Gas | 8,335, 53.93%, see rank | 66.78% | 48.85% |
Bottled, Tank, or LP Gas | 547, 3.54%, see rank | 10.05% | 4.86% |
Electricity | 5,664, 36.65%, see rank | 16.13% | 36.68% |
Fuel Oil, Kerosene, etc. | 674, 4.36%, see rank | 2.62% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.12% |
Wood | 58, 0.38%, see rank | 2.55% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
Other Fuel | 133, 0.86%, see rank | 1.17% | 0.47% |
No Fuel Used | 44, 0.28%, see rank | 0.65% | 1.00% |
ACS 2008-2012 data
| 56560 Zip Code | Minnesota | U.S. |
Total Housing Units | 15,221, 100% | 2,101,875 | 115,226,802 |
Utility Gas | 8,018, 52.68%, see rank | 67.41% | 49.42% |
Bottled, Tank, or LP Gas | 640, 4.20%, see rank | 9.97% | 5.03% |
Electricity | 5,328, 35.00%, see rank | 15.14% | 35.51% |
Fuel Oil, Kerosene, etc. | 918, 6.03%, see rank | 3.14% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.12% |
Wood | 43, 0.28%, see rank | 2.55% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 188, 1.24%, see rank | 1.20% | 0.43% |
No Fuel Used | 86, 0.57%, see rank | 0.55% | 0.90% |
US Census 2000 data
| 56560 Zip Code | Minnesota | U.S. |
Total Housing Units | 12,613, 100% | 1,895,127 | 105,480,101 |
Utility Gas | 6,041, 47.90%, see rank | 67.61% | 51.22% |
Bottled, Tank, or LP Gas | 387, 3.07%, see rank | 10.40% | 6.52% |
Electricity | 4,429, 35.11%, see rank | 12.09% | 30.35% |
Fuel Oil, Kerosene, etc. | 1,521, 12.06%, see rank | 6.41% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.14% |
Wood | 24, 0.19%, see rank | 1.95% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 103, 0.82%, see rank | 1.00% | 0.39% |
No Fuel Used | 108, 0.86%, 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.