Camden, NC Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Camden, NC | North Carolina | U.S. |
| Total Housing Units | 210, 100% | 3,742,514 | 116,211,092 |
| Utility Gas | 0, 0.00%, see rank | 24.68% | 48.85% |
| Bottled, Tank, or LP Gas | 17, 8.10%, see rank | 8.00% | 4.86% |
| Electricity | 175, 83.33%, see rank | 60.27% | 36.68% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 4.34% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 0, 0.00%, see rank | 2.17% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.15% | 0.47% |
| No Fuel Used | 18, 8.57%, see rank | 0.35% | 1.00% |
ACS 2008-2012 data
| | Camden, NC | North Carolina | U.S. |
| Total Housing Units | 239, 100% | 3,693,221 | 115,226,802 |
| Utility Gas | 19, 7.95%, see rank | 24.97% | 49.42% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 8.90% | 5.03% |
| Electricity | 198, 82.85%, see rank | 58.26% | 35.51% |
| Fuel Oil, Kerosene, etc. | 22, 9.21%, see rank | 5.24% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 0, 0.00%, see rank | 2.16% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.14% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.29% | 0.90% |
ACS 2006-2010 data
| | Camden, NC | North Carolina | U.S. |
| Total Housing Units | 232, 100% | 3,626,179 | 114,235,996 |
| Utility Gas | 17, 7.33%, see rank | 25.28% | 49.91% |
| Bottled, Tank, or LP Gas | 18, 7.76%, see rank | 10.01% | 5.38% |
| Electricity | 162, 69.83%, see rank | 55.68% | 34.20% |
| Fuel Oil, Kerosene, etc. | 35, 15.09%, see rank | 6.42% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 0, 0.00%, see rank | 2.14% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.03% |
| Other Fuel | 0, 0.00%, see rank | 0.15% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 0.29% | 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.
