55082 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 55082 Zip Code | Minnesota | U.S. |
Total Housing Units | 13,408, 100% | 2,115,337 | 116,211,092 |
Utility Gas | 11,090, 82.71%, see rank | 66.78% | 48.85% |
Bottled, Tank, or LP Gas | 180, 1.34%, see rank | 10.05% | 4.86% |
Electricity | 1,651, 12.31%, see rank | 16.13% | 36.68% |
Fuel Oil, Kerosene, etc. | 133, 0.99%, see rank | 2.62% | 5.86% |
Coal or Coke | 14, 0.10%, see rank | 0.03% | 0.12% |
Wood | 113, 0.84%, see rank | 2.55% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
Other Fuel | 142, 1.06%, see rank | 1.17% | 0.47% |
No Fuel Used | 85, 0.63%, see rank | 0.65% | 1.00% |
ACS 2008-2012 data
| 55082 Zip Code | Minnesota | U.S. |
Total Housing Units | 13,382, 100% | 2,101,875 | 115,226,802 |
Utility Gas | 11,117, 83.07%, see rank | 67.41% | 49.42% |
Bottled, Tank, or LP Gas | 238, 1.78%, see rank | 9.97% | 5.03% |
Electricity | 1,614, 12.06%, see rank | 15.14% | 35.51% |
Fuel Oil, Kerosene, etc. | 208, 1.55%, see rank | 3.14% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.12% |
Wood | 83, 0.62%, see rank | 2.55% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 79, 0.59%, see rank | 1.20% | 0.43% |
No Fuel Used | 43, 0.32%, see rank | 0.55% | 0.90% |
US Census 2000 data
| 55082 Zip Code | Minnesota | U.S. |
Total Housing Units | 11,014, 100% | 1,895,127 | 105,480,101 |
Utility Gas | 8,978, 81.51%, see rank | 67.61% | 51.22% |
Bottled, Tank, or LP Gas | 272, 2.47%, see rank | 10.40% | 6.52% |
Electricity | 1,225, 11.12%, see rank | 12.09% | 30.35% |
Fuel Oil, Kerosene, etc. | 470, 4.27%, see rank | 6.41% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.14% |
Wood | 44, 0.40%, see rank | 1.95% | 1.68% |
Solar Energy | 6, 0.05%, see rank | 0.02% | 0.04% |
Other Fuel | 6, 0.05%, see rank | 1.00% | 0.39% |
No Fuel Used | 13, 0.12%, 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.