57717 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 57717 Zip Code | South Dakota | U.S. |
Total Housing Units | 3,087, 100% | 327,101 | 116,211,092 |
Utility Gas | 1,735, 56.20%, see rank | 48.20% | 48.85% |
Bottled, Tank, or LP Gas | 350, 11.34%, see rank | 16.53% | 4.86% |
Electricity | 844, 27.34%, see rank | 28.34% | 36.68% |
Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 2.70% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.08% | 0.12% |
Wood | 120, 3.89%, see rank | 1.94% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.05% | 0.05% |
Other Fuel | 24, 0.78%, see rank | 1.52% | 0.47% |
No Fuel Used | 14, 0.45%, see rank | 0.63% | 1.00% |
ACS 2008-2012 data
| 57717 Zip Code | South Dakota | U.S. |
Total Housing Units | 3,071, 100% | 320,467 | 115,226,802 |
Utility Gas | 1,810, 58.94%, see rank | 49.23% | 49.42% |
Bottled, Tank, or LP Gas | 353, 11.49%, see rank | 17.01% | 5.03% |
Electricity | 722, 23.51%, see rank | 26.60% | 35.51% |
Fuel Oil, Kerosene, etc. | 44, 1.43%, see rank | 3.21% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.08% | 0.12% |
Wood | 109, 3.55%, see rank | 1.94% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.04% | 0.04% |
Other Fuel | 18, 0.59%, see rank | 1.34% | 0.43% |
No Fuel Used | 15, 0.49%, see rank | 0.56% | 0.90% |
US Census 2000 data
| 57717 Zip Code | South Dakota | U.S. |
Total Housing Units | 2,614, 100% | 290,245 | 105,480,101 |
Utility Gas | 1,743, 66.68%, see rank | 48.34% | 51.22% |
Bottled, Tank, or LP Gas | 379, 14.50%, see rank | 21.69% | 6.52% |
Electricity | 316, 12.09%, see rank | 19.74% | 30.35% |
Fuel Oil, Kerosene, etc. | 23, 0.88%, see rank | 7.04% | 8.97% |
Coal or Coke | 16, 0.61%, see rank | 0.13% | 0.14% |
Wood | 101, 3.86%, see rank | 1.68% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
Other Fuel | 27, 1.03%, see rank | 0.92% | 0.39% |
No Fuel Used | 9, 0.34%, 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.