Green Mountain, IA Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Green Mountain, IA | Iowa | U.S. |
| Total Housing Units | 59, 100% | 1,232,228 | 116,211,092 |
| Utility Gas | 44, 74.58%, see rank | 63.45% | 48.85% |
| Bottled, Tank, or LP Gas | 12, 20.34%, see rank | 13.26% | 4.86% |
| Electricity | 3, 5.08%, see rank | 19.45% | 36.68% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.74% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 0, 0.00%, see rank | 1.64% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.93% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.49% | 1.00% |
ACS 2008-2012 data
| | Green Mountain, IA | Iowa | U.S. |
| Total Housing Units | 60, 100% | 1,223,509 | 115,226,802 |
| Utility Gas | 52, 86.67%, see rank | 64.78% | 49.42% |
| Bottled, Tank, or LP Gas | 8, 13.33%, see rank | 13.46% | 5.03% |
| Electricity | 0, 0.00%, see rank | 17.74% | 35.51% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.92% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 0, 0.00%, see rank | 1.71% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.92% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.43% | 0.90% |
ACS 2006-2010 data
| | Green Mountain, IA | Iowa | U.S. |
| Total Housing Units | 62, 100% | 1,215,954 | 114,235,996 |
| Utility Gas | 47, 75.81%, see rank | 65.81% | 49.91% |
| Bottled, Tank, or LP Gas | 9, 14.52%, see rank | 13.81% | 5.38% |
| Electricity | 0, 0.00%, see rank | 16.24% | 34.20% |
| Fuel Oil, Kerosene, etc. | 3, 4.84%, see rank | 1.10% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.12% |
| Wood | 3, 4.84%, see rank | 1.63% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.03% |
| Other Fuel | 0, 0.00%, see rank | 0.96% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 0.40% | 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.
