29555 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 29555 Zip Code | South Carolina | U.S. |
Total Housing Units | 2,004, 100% | 1,795,715 | 116,211,092 |
Utility Gas | 50, 2.50%, see rank | 23.19% | 48.85% |
Bottled, Tank, or LP Gas | 226, 11.28%, see rank | 4.45% | 4.86% |
Electricity | 1,686, 84.13%, 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 | 21, 1.05%, see rank | 1.13% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.05% |
Other Fuel | 3, 0.15%, see rank | 0.11% | 0.47% |
No Fuel Used | 18, 0.90%, see rank | 0.35% | 1.00% |
ACS 2008-2012 data
| 29555 Zip Code | South Carolina | U.S. |
Total Housing Units | 2,203, 100% | 1,768,255 | 115,226,802 |
Utility Gas | 128, 5.81%, see rank | 24.20% | 49.42% |
Bottled, Tank, or LP Gas | 226, 10.26%, see rank | 4.95% | 5.03% |
Electricity | 1,810, 82.16%, 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 | 23, 1.04%, 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 | 16, 0.73%, see rank | 0.30% | 0.90% |
US Census 2000 data
| 29555 Zip Code | South Carolina | U.S. |
Total Housing Units | 2,311, 100% | 1,533,854 | 105,480,101 |
Utility Gas | 159, 6.88%, see rank | 26.24% | 51.22% |
Bottled, Tank, or LP Gas | 392, 16.96%, see rank | 8.56% | 6.52% |
Electricity | 1,579, 68.33%, see rank | 58.36% | 30.35% |
Fuel Oil, Kerosene, etc. | 146, 6.32%, see rank | 5.11% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.14% |
Wood | 24, 1.04%, see rank | 1.26% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
Other Fuel | 5, 0.22%, see rank | 0.14% | 0.39% |
No Fuel Used | 6, 0.26%, see rank | 0.29% | 0.69% |
* 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.