Blende, CO Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Blende, CO | Colorado | U.S. |
| Total Housing Units | 280, 100% | 1,998,314 | 116,211,092 |
| Utility Gas | 234, 83.57%, see rank | 71.94% | 48.85% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 4.86% | 4.86% |
| Electricity | 37, 13.21%, 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 | 9, 3.21%, 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
| | Blende, CO | Colorado | U.S. |
| Total Housing Units | 337, 100% | 1,962,753 | 115,226,802 |
| Utility Gas | 268, 79.53%, see rank | 73.76% | 49.42% |
| Bottled, Tank, or LP Gas | 12, 3.56%, see rank | 5.07% | 5.03% |
| Electricity | 47, 13.95%, 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, 2.97%, 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% |
ACS 2006-2010 data
| | Blende, CO | Colorado | U.S. |
| Total Housing Units | 382, 100% | 1,918,959 | 114,235,996 |
| Utility Gas | 314, 82.20%, see rank | 75.11% | 49.91% |
| Bottled, Tank, or LP Gas | 13, 3.40%, see rank | 5.27% | 5.38% |
| Electricity | 47, 12.30%, see rank | 16.43% | 34.20% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.14% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.08% | 0.12% |
| Wood | 8, 2.09%, see rank | 1.95% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.12% | 0.03% |
| Other Fuel | 0, 0.00%, see rank | 0.61% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 0.28% | 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.
