57761 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 57761 Zip Code | South Dakota | U.S. |
| Total Housing Units | 431, 100% | 327,101 | 116,211,092 |
| Utility Gas | 21, 4.87%, see rank | 48.20% | 48.85% |
| Bottled, Tank, or LP Gas | 201, 46.64%, see rank | 16.53% | 4.86% |
| Electricity | 127, 29.47%, see rank | 28.34% | 36.68% |
| Fuel Oil, Kerosene, etc. | 4, 0.93%, see rank | 2.70% | 5.86% |
| Coal or Coke | 2, 0.46%, see rank | 0.08% | 0.12% |
| Wood | 47, 10.90%, see rank | 1.94% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.05% | 0.05% |
| Other Fuel | 25, 5.80%, see rank | 1.52% | 0.47% |
| No Fuel Used | 4, 0.93%, see rank | 0.63% | 1.00% |
ACS 2008-2012 data
| | 57761 Zip Code | South Dakota | U.S. |
| Total Housing Units | 450, 100% | 320,467 | 115,226,802 |
| Utility Gas | 13, 2.89%, see rank | 49.23% | 49.42% |
| Bottled, Tank, or LP Gas | 208, 46.22%, see rank | 17.01% | 5.03% |
| Electricity | 131, 29.11%, see rank | 26.60% | 35.51% |
| Fuel Oil, Kerosene, etc. | 10, 2.22%, see rank | 3.21% | 6.46% |
| Coal or Coke | 2, 0.44%, see rank | 0.08% | 0.12% |
| Wood | 72, 16.00%, see rank | 1.94% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.04% | 0.04% |
| Other Fuel | 11, 2.44%, see rank | 1.34% | 0.43% |
| No Fuel Used | 3, 0.67%, see rank | 0.56% | 0.90% |
US Census 2000 data
| | 57761 Zip Code | South Dakota | U.S. |
| Total Housing Units | 404, 100% | 290,245 | 105,480,101 |
| Utility Gas | 11, 2.72%, see rank | 48.34% | 51.22% |
| Bottled, Tank, or LP Gas | 268, 66.34%, see rank | 21.69% | 6.52% |
| Electricity | 74, 18.32%, see rank | 19.74% | 30.35% |
| Fuel Oil, Kerosene, etc. | 12, 2.97%, see rank | 7.04% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.13% | 0.14% |
| Wood | 30, 7.43%, see rank | 1.68% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
| Other Fuel | 9, 2.23%, see rank | 0.92% | 0.39% |
| No Fuel Used | 0, 0.00%, see rank | 0.43% | 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.
