81087 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 81087 Zip Code | Colorado | U.S. |
| Total Housing Units | 75, 100% | 1,998,314 | 116,211,092 |
| Utility Gas | 47, 62.67%, see rank | 71.94% | 48.85% |
| Bottled, Tank, or LP Gas | 17, 22.67%, see rank | 4.86% | 4.86% |
| Electricity | 11, 14.67%, 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 | 0, 0.00%, 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
| | 81087 Zip Code | Colorado | U.S. |
| Total Housing Units | 56, 100% | 1,962,753 | 115,226,802 |
| Utility Gas | 22, 39.29%, see rank | 73.76% | 49.42% |
| Bottled, Tank, or LP Gas | 24, 42.86%, see rank | 5.07% | 5.03% |
| Electricity | 10, 17.86%, 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 | 0, 0.00%, 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
| | 81087 Zip Code | Colorado | U.S. |
| Total Housing Units | 67, 100% | 1,658,238 | 105,480,101 |
| Utility Gas | 39, 58.21%, see rank | 74.86% | 51.22% |
| Bottled, Tank, or LP Gas | 21, 31.34%, see rank | 6.20% | 6.52% |
| Electricity | 5, 7.46%, 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 | 2, 2.99%, see rank | 1.45% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.14% | 0.04% |
| Other Fuel | 0, 0.00%, 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.
