57373 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 57373 Zip Code | South Dakota | U.S. |
| Total Housing Units | 208, 100% | 327,101 | 116,211,092 |
| Utility Gas | 0, 0.00%, see rank | 48.20% | 48.85% |
| Bottled, Tank, or LP Gas | 94, 45.19%, see rank | 16.53% | 4.86% |
| Electricity | 82, 39.42%, see rank | 28.34% | 36.68% |
| Fuel Oil, Kerosene, etc. | 25, 12.02%, see rank | 2.70% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.08% | 0.12% |
| Wood | 2, 0.96%, see rank | 1.94% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.05% | 0.05% |
| Other Fuel | 5, 2.40%, see rank | 1.52% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.63% | 1.00% |
ACS 2008-2012 data
| | 57373 Zip Code | South Dakota | U.S. |
| Total Housing Units | 228, 100% | 320,467 | 115,226,802 |
| Utility Gas | 0, 0.00%, see rank | 49.23% | 49.42% |
| Bottled, Tank, or LP Gas | 86, 37.72%, see rank | 17.01% | 5.03% |
| Electricity | 106, 46.49%, see rank | 26.60% | 35.51% |
| Fuel Oil, Kerosene, etc. | 27, 11.84%, see rank | 3.21% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.08% | 0.12% |
| Wood | 5, 2.19%, see rank | 1.94% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.04% | 0.04% |
| Other Fuel | 4, 1.75%, see rank | 1.34% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.56% | 0.90% |
US Census 2000 data
| | 57373 Zip Code | South Dakota | U.S. |
| Total Housing Units | 188, 100% | 290,245 | 105,480,101 |
| Utility Gas | 0, 0.00%, see rank | 48.34% | 51.22% |
| Bottled, Tank, or LP Gas | 107, 56.91%, see rank | 21.69% | 6.52% |
| Electricity | 46, 24.47%, see rank | 19.74% | 30.35% |
| Fuel Oil, Kerosene, etc. | 33, 17.55%, see rank | 7.04% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.13% | 0.14% |
| Wood | 2, 1.06%, see rank | 1.68% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
| Other Fuel | 0, 0.00%, 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.
