Dillon Micro Area Historical Type of Heating Fuel in a House Data
ACS 2008-2012 data
| | Dillon Area | South Carolina | U.S. |
| Total Housing Units | 11,774, 100% | 1,768,255 | 115,226,802 |
| Utility Gas | 1,085, 9.22%, see rank | 24.20% | 49.42% |
| Bottled, Tank, or LP Gas | 1,674, 14.22%, see rank | 4.95% | 5.03% |
| Electricity | 8,463, 71.88%, see rank | 67.56% | 35.51% |
| Fuel Oil, Kerosene, etc. | 292, 2.48%, see rank | 1.75% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 112, 0.95%, see rank | 1.12% | 2.08% |
| Solar Energy | 19, 0.16%, see rank | 0.01% | 0.04% |
| Other Fuel | 83, 0.70%, see rank | 0.10% | 0.43% |
| No Fuel Used | 46, 0.39%, see rank | 0.30% | 0.90% |
ACS 2006-2010 data
| | Dillon Area | South Carolina | U.S. |
| Total Housing Units | 11,714, 100% | 1,741,994 | 114,235,996 |
| Utility Gas | 1,240, 10.59%, see rank | 24.92% | 49.91% |
| Bottled, Tank, or LP Gas | 1,686, 14.39%, see rank | 5.54% | 5.38% |
| Electricity | 7,895, 67.40%, see rank | 65.81% | 34.20% |
| Fuel Oil, Kerosene, etc. | 620, 5.29%, see rank | 2.27% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 188, 1.60%, see rank | 1.05% | 1.97% |
| Solar Energy | 27, 0.23%, see rank | 0.01% | 0.03% |
| Other Fuel | 12, 0.10%, see rank | 0.08% | 0.42% |
| No Fuel Used | 46, 0.39%, see rank | 0.30% | 0.90% |
ACS 2005-2009 data
| | Dillon Area | South Carolina | U.S. |
| Total Housing Units | 11,419, 100% | 1,693,388 | 112,611,029 |
| Utility Gas | 1,263, 11.06%, see rank | 25.46% | 50.14% |
| Bottled, Tank, or LP Gas | 1,761, 15.42%, see rank | 6.05% | 5.58% |
| Electricity | 7,476, 65.47%, see rank | 64.40% | 33.56% |
| Fuel Oil, Kerosene, etc. | 649, 5.68%, see rank | 2.59% | 7.38% |
| Coal or Coke | 0, 0.00%, see rank | 0.00% | 0.12% |
| Wood | 182, 1.59%, see rank | 1.08% | 1.89% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Fuel | 17, 0.15%, see rank | 0.09% | 0.42% |
| No Fuel Used | 71, 0.62%, see rank | 0.30% | 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.
