Piedmont, SD Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Piedmont, SD | South Dakota | U.S. |
| Total Housing Units | 280, 100% | 327,101 | 116,211,092 |
| Utility Gas | 149, 53.21%, see rank | 48.20% | 48.85% |
| Bottled, Tank, or LP Gas | 12, 4.29%, see rank | 16.53% | 4.86% |
| Electricity | 75, 26.79%, 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 | 44, 15.71%, 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
| | Piedmont, SD | South Dakota | U.S. |
| Total Housing Units | 61, 100% | 320,467 | 115,226,802 |
| Utility Gas | 51, 83.61%, see rank | 49.23% | 49.42% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 17.01% | 5.03% |
| Electricity | 4, 6.56%, 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 | 6, 9.84%, 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 2005-2009 data
| | Piedmont, SD | South Dakota | U.S. |
| Total Housing Units | 92, 100% | 314,674 | 112,611,029 |
| Utility Gas | 92, 100.00%, see rank | 49.41% | 50.14% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 18.87% | 5.58% |
| Electricity | 0, 0.00%, see rank | 23.72% | 33.56% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 4.28% | 7.38% |
| Coal or Coke | 0, 0.00%, see rank | 0.08% | 0.12% |
| Wood | 0, 0.00%, see rank | 1.60% | 1.89% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.03% |
| Other Fuel | 0, 0.00%, see rank | 1.55% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 0.45% | 0.88% |
* 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.
