55007 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 55007 Zip Code | Minnesota | U.S. |
| Total Housing Units | 940, 100% | 2,115,337 | 116,211,092 |
| Utility Gas | 16, 1.70%, see rank | 66.78% | 48.85% |
| Bottled, Tank, or LP Gas | 486, 51.70%, see rank | 10.05% | 4.86% |
| Electricity | 107, 11.38%, see rank | 16.13% | 36.68% |
| Fuel Oil, Kerosene, etc. | 49, 5.21%, see rank | 2.62% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.12% |
| Wood | 250, 26.60%, see rank | 2.55% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
| Other Fuel | 27, 2.87%, see rank | 1.17% | 0.47% |
| No Fuel Used | 5, 0.53%, see rank | 0.65% | 1.00% |
ACS 2008-2012 data
| | 55007 Zip Code | Minnesota | U.S. |
| Total Housing Units | 1,049, 100% | 2,101,875 | 115,226,802 |
| Utility Gas | 18, 1.72%, see rank | 67.41% | 49.42% |
| Bottled, Tank, or LP Gas | 588, 56.05%, see rank | 9.97% | 5.03% |
| Electricity | 95, 9.06%, see rank | 15.14% | 35.51% |
| Fuel Oil, Kerosene, etc. | 57, 5.43%, see rank | 3.14% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.12% |
| Wood | 257, 24.50%, see rank | 2.55% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
| Other Fuel | 34, 3.24%, see rank | 1.20% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.55% | 0.90% |
US Census 2000 data
| | 55007 Zip Code | Minnesota | U.S. |
| Total Housing Units | 792, 100% | 1,895,127 | 105,480,101 |
| Utility Gas | 8, 1.01%, see rank | 67.61% | 51.22% |
| Bottled, Tank, or LP Gas | 491, 61.99%, see rank | 10.40% | 6.52% |
| Electricity | 46, 5.81%, see rank | 12.09% | 30.35% |
| Fuel Oil, Kerosene, etc. | 81, 10.23%, see rank | 6.41% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.14% |
| Wood | 158, 19.95%, see rank | 1.95% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 5, 0.63%, see rank | 1.00% | 0.39% |
| No Fuel Used | 3, 0.38%, 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.
