Cow Creek, SD Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Cow Creek, SD | South Dakota | U.S. |
| Total Housing Units | 20, 100% | 327,101 | 116,211,092 |
| Utility Gas | 9, 45.00%, see rank | 48.20% | 48.85% |
| Bottled, Tank, or LP Gas | 5, 25.00%, see rank | 16.53% | 4.86% |
| Electricity | 6, 30.00%, 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 | 0, 0.00%, see rank | 1.94% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.05% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 1.52% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.63% | 1.00% |
ACS 2008-2012 data
| | Cow Creek, SD | South Dakota | U.S. |
| Total Housing Units | 23, 100% | 320,467 | 115,226,802 |
| Utility Gas | 9, 39.13%, see rank | 49.23% | 49.42% |
| Bottled, Tank, or LP Gas | 8, 34.78%, see rank | 17.01% | 5.03% |
| Electricity | 6, 26.09%, see rank | 26.60% | 35.51% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 3.21% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.08% | 0.12% |
| Wood | 0, 0.00%, see rank | 1.94% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.04% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 1.34% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.56% | 0.90% |
ACS 2006-2010 data
| | Cow Creek, SD | South Dakota | U.S. |
| Total Housing Units | 25, 100% | 315,468 | 114,235,996 |
| Utility Gas | 8, 32.00%, see rank | 49.70% | 49.91% |
| Bottled, Tank, or LP Gas | 7, 28.00%, see rank | 18.03% | 5.38% |
| Electricity | 10, 40.00%, see rank | 24.45% | 34.20% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 3.75% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.08% | 0.12% |
| Wood | 0, 0.00%, see rank | 1.86% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.03% |
| Other Fuel | 0, 0.00%, see rank | 1.59% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 0.51% | 0.90% |
* 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.
