Morgantown, MS Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Morgantown, MS | Mississippi | U.S. |
| Total Housing Units | 575, 100% | 1,092,627 | 116,211,092 |
| Utility Gas | 333, 57.91%, see rank | 30.86% | 48.85% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 12.73% | 4.86% |
| Electricity | 230, 40.00%, see rank | 54.38% | 36.68% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.13% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 0, 0.00%, see rank | 1.52% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.05% |
| Other Fuel | 12, 2.09%, see rank | 0.13% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.24% | 1.00% |
ACS 2008-2012 data
| | Morgantown, MS | Mississippi | U.S. |
| Total Housing Units | 653, 100% | 1,087,791 | 115,226,802 |
| Utility Gas | 404, 61.87%, see rank | 31.59% | 49.42% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 13.68% | 5.03% |
| Electricity | 229, 35.07%, see rank | 52.60% | 35.51% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.15% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.00% | 0.12% |
| Wood | 11, 1.68%, see rank | 1.65% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
| Other Fuel | 9, 1.38%, see rank | 0.13% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.19% | 0.90% |
ACS 2006-2010 data
| | Morgantown, MS | Mississippi | U.S. |
| Total Housing Units | 535, 100% | 1,081,052 | 114,235,996 |
| Utility Gas | 383, 71.59%, see rank | 33.40% | 49.91% |
| Bottled, Tank, or LP Gas | 9, 1.68%, see rank | 15.31% | 5.38% |
| Electricity | 131, 24.49%, see rank | 49.02% | 34.20% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.17% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 12, 2.24%, see rank | 1.74% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.00% | 0.03% |
| Other Fuel | 0, 0.00%, see rank | 0.13% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 0.20% | 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.
