Henderson, GA Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Henderson, GA | Georgia | U.S. |
| Total Housing Units | 659, 100% | 3,540,690 | 116,211,092 |
| Utility Gas | 49, 7.44%, see rank | 40.63% | 48.85% |
| Bottled, Tank, or LP Gas | 7, 1.06%, see rank | 5.27% | 4.86% |
| Electricity | 603, 91.50%, see rank | 52.46% | 36.68% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.22% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 0, 0.00%, 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 | 0, 0.00%, see rank | 0.32% | 1.00% |
ACS 2008-2012 data
| | Henderson, GA | Georgia | U.S. |
| Total Housing Units | 925, 100% | 3,508,477 | 115,226,802 |
| Utility Gas | 31, 3.35%, see rank | 41.92% | 49.42% |
| Bottled, Tank, or LP Gas | 9, 0.97%, see rank | 5.83% | 5.03% |
| Electricity | 885, 95.68%, see rank | 50.64% | 35.51% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.26% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.00% | 0.12% |
| Wood | 0, 0.00%, 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 | 0, 0.00%, see rank | 0.26% | 0.90% |
ACS 2006-2010 data
| | Henderson, GA | Georgia | U.S. |
| Total Housing Units | 788, 100% | 3,468,704 | 114,235,996 |
| Utility Gas | 22, 2.79%, see rank | 43.55% | 49.91% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 6.82% | 5.38% |
| Electricity | 766, 97.21%, 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 | 0, 0.00%, 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.
