80631 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 80631 Zip Code | Colorado | U.S. |
Total Housing Units | 16,299, 100% | 1,998,314 | 116,211,092 |
Utility Gas | 11,981, 73.51%, see rank | 71.94% | 48.85% |
Bottled, Tank, or LP Gas | 564, 3.46%, see rank | 4.86% | 4.86% |
Electricity | 3,371, 20.68%, see rank | 19.94% | 36.68% |
Fuel Oil, Kerosene, etc. | 13, 0.08%, see rank | 0.11% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.07% | 0.12% |
Wood | 111, 0.68%, see rank | 2.08% | 2.12% |
Solar Energy | 55, 0.34%, see rank | 0.15% | 0.05% |
Other Fuel | 132, 0.81%, see rank | 0.54% | 0.47% |
No Fuel Used | 72, 0.44%, see rank | 0.31% | 1.00% |
ACS 2008-2012 data
| 80631 Zip Code | Colorado | U.S. |
Total Housing Units | 16,038, 100% | 1,962,753 | 115,226,802 |
Utility Gas | 12,242, 76.33%, see rank | 73.76% | 49.42% |
Bottled, Tank, or LP Gas | 581, 3.62%, see rank | 5.07% | 5.03% |
Electricity | 2,914, 18.17%, see rank | 18.00% | 35.51% |
Fuel Oil, Kerosene, etc. | 11, 0.07%, see rank | 0.13% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.07% | 0.12% |
Wood | 100, 0.62%, see rank | 2.02% | 2.08% |
Solar Energy | 26, 0.16%, see rank | 0.14% | 0.04% |
Other Fuel | 99, 0.62%, see rank | 0.54% | 0.43% |
No Fuel Used | 65, 0.41%, see rank | 0.27% | 0.90% |
US Census 2000 data
| 80631 Zip Code | Colorado | U.S. |
Total Housing Units | 15,372, 100% | 1,658,238 | 105,480,101 |
Utility Gas | 11,802, 76.78%, see rank | 74.86% | 51.22% |
Bottled, Tank, or LP Gas | 726, 4.72%, see rank | 6.20% | 6.52% |
Electricity | 2,436, 15.85%, see rank | 16.11% | 30.35% |
Fuel Oil, Kerosene, etc. | 24, 0.16%, see rank | 0.15% | 8.97% |
Coal or Coke | 11, 0.07%, see rank | 0.13% | 0.14% |
Wood | 48, 0.31%, see rank | 1.45% | 1.68% |
Solar Energy | 15, 0.10%, see rank | 0.14% | 0.04% |
Other Fuel | 163, 1.06%, see rank | 0.68% | 0.39% |
No Fuel Used | 147, 0.96%, 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.