Menoken, ND Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Menoken, ND | North Dakota | U.S. |
| Total Housing Units | 31, 100% | 292,616 | 116,211,092 |
| Utility Gas | 1, 3.23%, see rank | 40.94% | 48.85% |
| Bottled, Tank, or LP Gas | 23, 74.19%, see rank | 13.27% | 4.86% |
| Electricity | 5, 16.13%, see rank | 38.79% | 36.68% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 3.70% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.36% | 0.12% |
| Wood | 0, 0.00%, see rank | 0.57% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 1.43% | 0.47% |
| No Fuel Used | 2, 6.45%, see rank | 0.91% | 1.00% |
ACS 2008-2012 data
| | Menoken, ND | North Dakota | U.S. |
| Total Housing Units | 27, 100% | 282,667 | 115,226,802 |
| Utility Gas | 3, 11.11%, see rank | 41.57% | 49.42% |
| Bottled, Tank, or LP Gas | 14, 51.85%, see rank | 13.65% | 5.03% |
| Electricity | 7, 25.93%, see rank | 37.05% | 35.51% |
| Fuel Oil, Kerosene, etc. | 2, 7.41%, see rank | 4.58% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.37% | 0.12% |
| Wood | 0, 0.00%, see rank | 0.60% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 1.38% | 0.43% |
| No Fuel Used | 1, 3.70%, see rank | 0.78% | 0.90% |
ACS 2006-2010 data
| | Menoken, ND | North Dakota | U.S. |
| Total Housing Units | 38, 100% | 276,642 | 114,235,996 |
| Utility Gas | 2, 5.26%, see rank | 41.60% | 49.91% |
| Bottled, Tank, or LP Gas | 11, 28.95%, see rank | 14.09% | 5.38% |
| Electricity | 6, 15.79%, see rank | 35.65% | 34.20% |
| Fuel Oil, Kerosene, etc. | 6, 15.79%, see rank | 5.52% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.42% | 0.12% |
| Wood | 0, 0.00%, see rank | 0.63% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.03% |
| Other Fuel | 0, 0.00%, see rank | 1.28% | 0.42% |
| No Fuel Used | 13, 34.21%, see rank | 0.79% | 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.
