Silverthorne Micro Area Historical Type of Heating Fuel in a House Data
ACS 2008-2012 data
| Silverthorne Area | Colorado | U.S. |
Total Housing Units | 11,358, 100% | 1,962,753 | 115,226,802 |
Utility Gas | 7,220, 63.57%, see rank | 73.76% | 49.42% |
Bottled, Tank, or LP Gas | 428, 3.77%, see rank | 5.07% | 5.03% |
Electricity | 3,313, 29.17%, 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 | 358, 3.15%, see rank | 2.02% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.14% | 0.04% |
Other Fuel | 39, 0.34%, see rank | 0.54% | 0.43% |
No Fuel Used | 0, 0.00%, see rank | 0.27% | 0.90% |
ACS 2006-2010 data
| Silverthorne Area | Colorado | U.S. |
Total Housing Units | 10,553, 100% | 1,918,959 | 114,235,996 |
Utility Gas | 6,589, 62.44%, see rank | 75.11% | 49.91% |
Bottled, Tank, or LP Gas | 524, 4.97%, see rank | 5.27% | 5.38% |
Electricity | 3,033, 28.74%, 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 | 350, 3.32%, see rank | 1.95% | 1.97% |
Solar Energy | 0, 0.00%, see rank | 0.12% | 0.03% |
Other Fuel | 57, 0.54%, see rank | 0.61% | 0.42% |
No Fuel Used | 0, 0.00%, see rank | 0.28% | 0.90% |
ACS 2005-2009 data
| Silverthorne Area | Colorado | U.S. |
Total Housing Units | 9,858, 100% | 1,869,276 | 112,611,029 |
Utility Gas | 5,653, 57.34%, see rank | 75.50% | 50.14% |
Bottled, Tank, or LP Gas | 547, 5.55%, see rank | 5.41% | 5.58% |
Electricity | 3,101, 31.46%, see rank | 15.93% | 33.56% |
Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.15% | 7.38% |
Coal or Coke | 0, 0.00%, see rank | 0.09% | 0.12% |
Wood | 488, 4.95%, see rank | 1.89% | 1.89% |
Solar Energy | 0, 0.00%, see rank | 0.12% | 0.03% |
Other Fuel | 69, 0.70%, see rank | 0.65% | 0.42% |
No Fuel Used | 0, 0.00%, see rank | 0.26% | 0.88% |
* 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.