55406 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 55406 Zip Code | Minnesota | U.S. |
Total Housing Units | 14,931, 100% | 2,115,337 | 116,211,092 |
Utility Gas | 12,748, 85.38%, see rank | 66.78% | 48.85% |
Bottled, Tank, or LP Gas | 145, 0.97%, see rank | 10.05% | 4.86% |
Electricity | 1,710, 11.45%, see rank | 16.13% | 36.68% |
Fuel Oil, Kerosene, etc. | 48, 0.32%, see rank | 2.62% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.12% |
Wood | 133, 0.89%, see rank | 2.55% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
Other Fuel | 39, 0.26%, see rank | 1.17% | 0.47% |
No Fuel Used | 108, 0.72%, see rank | 0.65% | 1.00% |
ACS 2008-2012 data
| 55406 Zip Code | Minnesota | U.S. |
Total Housing Units | 14,988, 100% | 2,101,875 | 115,226,802 |
Utility Gas | 12,939, 86.33%, see rank | 67.41% | 49.42% |
Bottled, Tank, or LP Gas | 131, 0.87%, see rank | 9.97% | 5.03% |
Electricity | 1,660, 11.08%, see rank | 15.14% | 35.51% |
Fuel Oil, Kerosene, etc. | 52, 0.35%, see rank | 3.14% | 6.46% |
Coal or Coke | 5, 0.03%, see rank | 0.02% | 0.12% |
Wood | 87, 0.58%, see rank | 2.55% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 19, 0.13%, see rank | 1.20% | 0.43% |
No Fuel Used | 95, 0.63%, see rank | 0.55% | 0.90% |
US Census 2000 data
| 55406 Zip Code | Minnesota | U.S. |
Total Housing Units | 15,097, 100% | 1,895,127 | 105,480,101 |
Utility Gas | 13,720, 90.88%, see rank | 67.61% | 51.22% |
Bottled, Tank, or LP Gas | 149, 0.99%, see rank | 10.40% | 6.52% |
Electricity | 1,070, 7.09%, see rank | 12.09% | 30.35% |
Fuel Oil, Kerosene, etc. | 76, 0.50%, see rank | 6.41% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.14% |
Wood | 4, 0.03%, see rank | 1.95% | 1.68% |
Solar Energy | 5, 0.03%, see rank | 0.02% | 0.04% |
Other Fuel | 54, 0.36%, see rank | 1.00% | 0.39% |
No Fuel Used | 19, 0.13%, 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.