Mortmar, CA Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Mortmar, CA | California | U.S. |
| Total Housing Units | 76, 100% | 12,617,280 | 116,211,092 |
| Utility Gas | 4, 5.26%, see rank | 65.57% | 48.85% |
| Bottled, Tank, or LP Gas | 46, 60.53%, see rank | 3.16% | 4.86% |
| Electricity | 8, 10.53%, see rank | 25.76% | 36.68% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.27% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 4, 5.26%, see rank | 1.73% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.14% | 0.05% |
| Other Fuel | 14, 18.42%, see rank | 0.35% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 3.02% | 1.00% |
ACS 2008-2012 data
| | Mortmar, CA | California | U.S. |
| Total Housing Units | 51, 100% | 12,466,331 | 115,226,802 |
| Utility Gas | 0, 0.00%, see rank | 66.60% | 49.42% |
| Bottled, Tank, or LP Gas | 24, 47.06%, see rank | 3.16% | 5.03% |
| Electricity | 9, 17.65%, see rank | 24.90% | 35.51% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.29% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 0, 0.00%, see rank | 1.76% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.08% | 0.04% |
| Other Fuel | 18, 35.29%, see rank | 0.34% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 2.86% | 0.90% |
ACS 2006-2010 data
| | Mortmar, CA | California | U.S. |
| Total Housing Units | 74, 100% | 12,392,852 | 114,235,996 |
| Utility Gas | 21, 28.38%, see rank | 67.43% | 49.91% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 3.34% | 5.38% |
| Electricity | 16, 21.62%, see rank | 23.80% | 34.20% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.33% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 17, 22.97%, see rank | 1.80% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.07% | 0.03% |
| Other Fuel | 20, 27.03%, see rank | 0.34% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 2.89% | 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.
