Corbin Micro Area Historical Type of Heating Fuel in a House Data
ACS 2008-2012 data
| Corbin Area | Kentucky | U.S. |
Total Housing Units | 13,330, 100% | 1,691,716 | 115,226,802 |
Utility Gas | 4,750, 35.63%, see rank | 39.50% | 49.42% |
Bottled, Tank, or LP Gas | 786, 5.90%, see rank | 6.78% | 5.03% |
Electricity | 6,841, 51.32%, see rank | 48.96% | 35.51% |
Fuel Oil, Kerosene, etc. | 136, 1.02%, see rank | 1.21% | 6.46% |
Coal or Coke | 167, 1.25%, see rank | 0.30% | 0.12% |
Wood | 550, 4.13%, see rank | 2.78% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 56, 0.42%, see rank | 0.28% | 0.43% |
No Fuel Used | 44, 0.33%, see rank | 0.18% | 0.90% |
ACS 2006-2010 data
| Corbin Area | Kentucky | U.S. |
Total Housing Units | 13,102, 100% | 1,676,708 | 114,235,996 |
Utility Gas | 4,773, 36.43%, see rank | 41.02% | 49.91% |
Bottled, Tank, or LP Gas | 792, 6.04%, see rank | 7.40% | 5.38% |
Electricity | 6,265, 47.82%, see rank | 46.63% | 34.20% |
Fuel Oil, Kerosene, etc. | 336, 2.56%, see rank | 1.45% | 7.07% |
Coal or Coke | 218, 1.66%, see rank | 0.36% | 0.12% |
Wood | 576, 4.40%, see rank | 2.67% | 1.97% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.03% |
Other Fuel | 105, 0.80%, see rank | 0.28% | 0.42% |
No Fuel Used | 37, 0.28%, see rank | 0.17% | 0.90% |
ACS 2005-2009 data
| Corbin Area | Kentucky | U.S. |
Total Housing Units | 13,682, 100% | 1,674,738 | 112,611,029 |
Utility Gas | 5,274, 38.55%, see rank | 41.67% | 50.14% |
Bottled, Tank, or LP Gas | 970, 7.09%, see rank | 7.85% | 5.58% |
Electricity | 6,063, 44.31%, see rank | 45.41% | 33.56% |
Fuel Oil, Kerosene, etc. | 389, 2.84%, see rank | 1.66% | 7.38% |
Coal or Coke | 320, 2.34%, see rank | 0.40% | 0.12% |
Wood | 567, 4.14%, see rank | 2.54% | 1.89% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.03% |
Other Fuel | 67, 0.49%, see rank | 0.28% | 0.42% |
No Fuel Used | 32, 0.23%, see rank | 0.18% | 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.