Langley, SC Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Langley, SC | South Carolina | U.S. |
| Total Housing Units | 566, 100% | 1,795,715 | 116,211,092 |
| Utility Gas | 248, 43.82%, see rank | 23.19% | 48.85% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 4.45% | 4.86% |
| Electricity | 313, 55.30%, see rank | 69.42% | 36.68% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 1.31% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.12% |
| Wood | 5, 0.88%, see rank | 1.13% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.11% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.35% | 1.00% |
ACS 2008-2012 data
| | Langley, SC | South Carolina | U.S. |
| Total Housing Units | 602, 100% | 1,768,255 | 115,226,802 |
| Utility Gas | 353, 58.64%, see rank | 24.20% | 49.42% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 4.95% | 5.03% |
| Electricity | 249, 41.36%, see rank | 67.56% | 35.51% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 1.75% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 0, 0.00%, see rank | 1.12% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.10% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.30% | 0.90% |
ACS 2006-2010 data
| | Langley, SC | South Carolina | U.S. |
| Total Housing Units | 545, 100% | 1,741,994 | 114,235,996 |
| Utility Gas | 357, 65.50%, see rank | 24.92% | 49.91% |
| Bottled, Tank, or LP Gas | 38, 6.97%, see rank | 5.54% | 5.38% |
| Electricity | 150, 27.52%, see rank | 65.81% | 34.20% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 2.27% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 0, 0.00%, see rank | 1.05% | 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 | 0.30% | 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.
