80538 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 80538 Zip Code | Colorado | U.S. |
Total Housing Units | 18,523, 100% | 1,998,314 | 116,211,092 |
Utility Gas | 15,116, 81.61%, see rank | 71.94% | 48.85% |
Bottled, Tank, or LP Gas | 398, 2.15%, see rank | 4.86% | 4.86% |
Electricity | 2,666, 14.39%, see rank | 19.94% | 36.68% |
Fuel Oil, Kerosene, etc. | 12, 0.06%, see rank | 0.11% | 5.86% |
Coal or Coke | 8, 0.04%, see rank | 0.07% | 0.12% |
Wood | 107, 0.58%, see rank | 2.08% | 2.12% |
Solar Energy | 52, 0.28%, see rank | 0.15% | 0.05% |
Other Fuel | 54, 0.29%, see rank | 0.54% | 0.47% |
No Fuel Used | 110, 0.59%, see rank | 0.31% | 1.00% |
ACS 2008-2012 data
| 80538 Zip Code | Colorado | U.S. |
Total Housing Units | 17,974, 100% | 1,962,753 | 115,226,802 |
Utility Gas | 14,794, 82.31%, see rank | 73.76% | 49.42% |
Bottled, Tank, or LP Gas | 324, 1.80%, see rank | 5.07% | 5.03% |
Electricity | 2,458, 13.68%, see rank | 18.00% | 35.51% |
Fuel Oil, Kerosene, etc. | 28, 0.16%, see rank | 0.13% | 6.46% |
Coal or Coke | 8, 0.04%, see rank | 0.07% | 0.12% |
Wood | 156, 0.87%, see rank | 2.02% | 2.08% |
Solar Energy | 68, 0.38%, see rank | 0.14% | 0.04% |
Other Fuel | 107, 0.60%, see rank | 0.54% | 0.43% |
No Fuel Used | 31, 0.17%, see rank | 0.27% | 0.90% |
US Census 2000 data
| 80538 Zip Code | Colorado | U.S. |
Total Housing Units | 13,264, 100% | 1,658,238 | 105,480,101 |
Utility Gas | 11,116, 83.81%, see rank | 74.86% | 51.22% |
Bottled, Tank, or LP Gas | 400, 3.02%, see rank | 6.20% | 6.52% |
Electricity | 1,389, 10.47%, see rank | 16.11% | 30.35% |
Fuel Oil, Kerosene, etc. | 31, 0.23%, see rank | 0.15% | 8.97% |
Coal or Coke | 8, 0.06%, see rank | 0.13% | 0.14% |
Wood | 90, 0.68%, see rank | 1.45% | 1.68% |
Solar Energy | 99, 0.75%, see rank | 0.14% | 0.04% |
Other Fuel | 111, 0.84%, see rank | 0.68% | 0.39% |
No Fuel Used | 20, 0.15%, 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.