Statenville, GA Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Statenville, GA | Georgia | U.S. |
| Total Housing Units | 428, 100% | 3,540,690 | 116,211,092 |
| Utility Gas | 4, 0.93%, see rank | 40.63% | 48.85% |
| Bottled, Tank, or LP Gas | 37, 8.64%, see rank | 5.27% | 4.86% |
| Electricity | 375, 87.62%, see rank | 52.46% | 36.68% |
| Fuel Oil, Kerosene, etc. | 2, 0.47%, see rank | 0.22% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 4, 0.93%, see rank | 0.99% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.08% | 0.47% |
| No Fuel Used | 6, 1.40%, see rank | 0.32% | 1.00% |
ACS 2008-2012 data
| | Statenville, GA | Georgia | U.S. |
| Total Housing Units | 379, 100% | 3,508,477 | 115,226,802 |
| Utility Gas | 0, 0.00%, see rank | 41.92% | 49.42% |
| Bottled, Tank, or LP Gas | 30, 7.92%, see rank | 5.83% | 5.03% |
| Electricity | 326, 86.02%, see rank | 50.64% | 35.51% |
| Fuel Oil, Kerosene, etc. | 6, 1.58%, see rank | 0.26% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.00% | 0.12% |
| Wood | 6, 1.58%, see rank | 0.99% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.08% | 0.43% |
| No Fuel Used | 11, 2.90%, see rank | 0.26% | 0.90% |
ACS 2006-2010 data
| | Statenville, GA | Georgia | U.S. |
| Total Housing Units | 287, 100% | 3,468,704 | 114,235,996 |
| Utility Gas | 25, 8.71%, see rank | 43.55% | 49.91% |
| Bottled, Tank, or LP Gas | 36, 12.54%, see rank | 6.82% | 5.38% |
| Electricity | 214, 74.56%, see rank | 48.03% | 34.20% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.32% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 0, 0.00%, see rank | 0.95% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Fuel | 0, 0.00%, see rank | 0.08% | 0.42% |
| No Fuel Used | 12, 4.18%, see rank | 0.24% | 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.
