81649 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 81649 Zip Code | Colorado | U.S. |
| Total Housing Units | 92, 100% | 1,998,314 | 116,211,092 |
| Utility Gas | 63, 68.48%, see rank | 71.94% | 48.85% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 4.86% | 4.86% |
| Electricity | 24, 26.09%, see rank | 19.94% | 36.68% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.11% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.07% | 0.12% |
| Wood | 5, 5.43%, see rank | 2.08% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.15% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.54% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.31% | 1.00% |
ACS 2008-2012 data
| | 81649 Zip Code | Colorado | U.S. |
| Total Housing Units | 98, 100% | 1,962,753 | 115,226,802 |
| Utility Gas | 70, 71.43%, see rank | 73.76% | 49.42% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 5.07% | 5.03% |
| Electricity | 18, 18.37%, see rank | 18.00% | 35.51% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.13% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.07% | 0.12% |
| Wood | 10, 10.20%, see rank | 2.02% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.14% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.54% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.27% | 0.90% |
US Census 2000 data
| | 81649 Zip Code | Colorado | U.S. |
| Total Housing Units | 105, 100% | 1,658,238 | 105,480,101 |
| Utility Gas | 89, 84.76%, see rank | 74.86% | 51.22% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 6.20% | 6.52% |
| Electricity | 8, 7.62%, see rank | 16.11% | 30.35% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.15% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.13% | 0.14% |
| Wood | 6, 5.71%, see rank | 1.45% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.14% | 0.04% |
| Other Fuel | 2, 1.90%, see rank | 0.68% | 0.39% |
| No Fuel Used | 0, 0.00%, see rank | 0.27% | 0.69% |
* 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.
