55109 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 55109 Zip Code | Minnesota | U.S. |
Total Housing Units | 12,946, 100% | 2,115,337 | 116,211,092 |
Utility Gas | 10,410, 80.41%, see rank | 66.78% | 48.85% |
Bottled, Tank, or LP Gas | 120, 0.93%, see rank | 10.05% | 4.86% |
Electricity | 2,128, 16.44%, see rank | 16.13% | 36.68% |
Fuel Oil, Kerosene, etc. | 54, 0.42%, see rank | 2.62% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.12% |
Wood | 31, 0.24%, see rank | 2.55% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
Other Fuel | 131, 1.01%, see rank | 1.17% | 0.47% |
No Fuel Used | 72, 0.56%, see rank | 0.65% | 1.00% |
ACS 2008-2012 data
| 55109 Zip Code | Minnesota | U.S. |
Total Housing Units | 12,518, 100% | 2,101,875 | 115,226,802 |
Utility Gas | 10,455, 83.52%, see rank | 67.41% | 49.42% |
Bottled, Tank, or LP Gas | 125, 1.00%, see rank | 9.97% | 5.03% |
Electricity | 1,720, 13.74%, see rank | 15.14% | 35.51% |
Fuel Oil, Kerosene, etc. | 60, 0.48%, see rank | 3.14% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.12% |
Wood | 10, 0.08%, see rank | 2.55% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 116, 0.93%, see rank | 1.20% | 0.43% |
No Fuel Used | 32, 0.26%, see rank | 0.55% | 0.90% |
US Census 2000 data
| 55109 Zip Code | Minnesota | U.S. |
Total Housing Units | 12,054, 100% | 1,895,127 | 105,480,101 |
Utility Gas | 10,024, 83.16%, see rank | 67.61% | 51.22% |
Bottled, Tank, or LP Gas | 60, 0.50%, see rank | 10.40% | 6.52% |
Electricity | 1,610, 13.36%, see rank | 12.09% | 30.35% |
Fuel Oil, Kerosene, etc. | 170, 1.41%, see rank | 6.41% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.14% |
Wood | 13, 0.11%, see rank | 1.95% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 126, 1.05%, see rank | 1.00% | 0.39% |
No Fuel Used | 51, 0.42%, 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.