Huntingtown, MD Historical Type of Heating Fuel in a House Data
ACS 2006-2010 data
| | Huntingtown, MD | Maryland | U.S. |
| Total Housing Units | 918, 100% | 2,121,047 | 114,235,996 |
| Utility Gas | 0, 0.00%, see rank | 45.09% | 49.91% |
| Bottled, Tank, or LP Gas | 144, 15.69%, see rank | 3.32% | 5.38% |
| Electricity | 531, 57.84%, see rank | 37.58% | 34.20% |
| Fuel Oil, Kerosene, etc. | 153, 16.67%, see rank | 12.14% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.11% | 0.12% |
| Wood | 62, 6.75%, see rank | 1.13% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Fuel | 0, 0.00%, see rank | 0.38% | 0.42% |
| No Fuel Used | 28, 3.05%, see rank | 0.24% | 0.90% |
ACS 2005-2009 data
| | Huntingtown, MD | Maryland | U.S. |
| Total Housing Units | 976, 100% | 2,092,538 | 112,611,029 |
| Utility Gas | 0, 0.00%, see rank | 45.21% | 50.14% |
| Bottled, Tank, or LP Gas | 185, 18.95%, see rank | 3.47% | 5.58% |
| Electricity | 510, 52.25%, see rank | 36.77% | 33.56% |
| Fuel Oil, Kerosene, etc. | 207, 21.21%, see rank | 12.71% | 7.38% |
| Coal or Coke | 0, 0.00%, see rank | 0.12% | 0.12% |
| Wood | 48, 4.92%, see rank | 1.10% | 1.89% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Fuel | 0, 0.00%, see rank | 0.37% | 0.42% |
| No Fuel Used | 26, 2.66%, see rank | 0.24% | 0.88% |
US Census 2000 data
| | Huntingtown, MD | Maryland | U.S. |
| Total Housing Units | 739, 100% | 1,980,859 | 105,480,101 |
| Utility Gas | 8, 1.08%, see rank | 46.03% | 51.22% |
| Bottled, Tank, or LP Gas | 30, 4.06%, see rank | 3.09% | 6.52% |
| Electricity | 491, 66.44%, see rank | 33.09% | 30.35% |
| Fuel Oil, Kerosene, etc. | 198, 26.79%, see rank | 15.99% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.13% | 0.14% |
| Wood | 7, 0.95%, see rank | 1.00% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 5, 0.68%, see rank | 0.37% | 0.39% |
| No Fuel Used | 0, 0.00%, see rank | 0.28% | 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.
