Corriganville, MD Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Corriganville, MD | Maryland | U.S. |
| Total Housing Units | 163, 100% | 2,155,983 | 116,211,092 |
| Utility Gas | 69, 42.33%, see rank | 44.54% | 48.85% |
| Bottled, Tank, or LP Gas | 14, 8.59%, see rank | 3.17% | 4.86% |
| Electricity | 62, 38.04%, see rank | 39.67% | 36.68% |
| Fuel Oil, Kerosene, etc. | 11, 6.75%, see rank | 10.31% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.11% | 0.12% |
| Wood | 7, 4.29%, see rank | 1.37% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.45% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.35% | 1.00% |
ACS 2008-2012 data
| | Corriganville, MD | Maryland | U.S. |
| Total Housing Units | 180, 100% | 2,138,806 | 115,226,802 |
| Utility Gas | 80, 44.44%, see rank | 44.82% | 49.42% |
| Bottled, Tank, or LP Gas | 12, 6.67%, see rank | 3.21% | 5.03% |
| Electricity | 63, 35.00%, see rank | 38.74% | 35.51% |
| Fuel Oil, Kerosene, etc. | 17, 9.44%, see rank | 11.18% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.11% | 0.12% |
| Wood | 8, 4.44%, see rank | 1.27% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.43% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.23% | 0.90% |
ACS 2006-2010 data
| | Corriganville, MD | Maryland | U.S. |
| Total Housing Units | 159, 100% | 2,121,047 | 114,235,996 |
| Utility Gas | 84, 52.83%, see rank | 45.09% | 49.91% |
| Bottled, Tank, or LP Gas | 8, 5.03%, see rank | 3.32% | 5.38% |
| Electricity | 33, 20.75%, see rank | 37.58% | 34.20% |
| Fuel Oil, Kerosene, etc. | 22, 13.84%, see rank | 12.14% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.11% | 0.12% |
| Wood | 12, 7.55%, 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 | 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.
