Kodiak Micro Area Historical Type of Heating Fuel in a House Data
ACS 2008-2012 data
| | Kodiak Area | Alaska | U.S. |
| Total Housing Units | 4,468, 100% | 252,991 | 115,226,802 |
| Utility Gas | 159, 3.56%, see rank | 48.65% | 49.42% |
| Bottled, Tank, or LP Gas | 53, 1.19%, see rank | 1.57% | 5.03% |
| Electricity | 390, 8.73%, see rank | 10.46% | 35.51% |
| Fuel Oil, Kerosene, etc. | 3,591, 80.37%, see rank | 32.21% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.36% | 0.12% |
| Wood | 198, 4.43%, see rank | 5.91% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 60, 1.34%, see rank | 0.55% | 0.43% |
| No Fuel Used | 17, 0.38%, see rank | 0.27% | 0.90% |
ACS 2006-2010 data
| | Kodiak Area | Alaska | U.S. |
| Total Housing Units | 4,409, 100% | 248,248 | 114,235,996 |
| Utility Gas | 103, 2.34%, see rank | 49.00% | 49.91% |
| Bottled, Tank, or LP Gas | 165, 3.74%, see rank | 1.69% | 5.38% |
| Electricity | 334, 7.58%, see rank | 9.53% | 34.20% |
| Fuel Oil, Kerosene, etc. | 3,608, 81.83%, see rank | 33.43% | 7.07% |
| Coal or Coke | 7, 0.16%, see rank | 0.36% | 0.12% |
| Wood | 124, 2.81%, see rank | 5.10% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Fuel | 58, 1.32%, see rank | 0.57% | 0.42% |
| No Fuel Used | 10, 0.23%, see rank | 0.31% | 0.90% |
ACS 2005-2009 data
| | Kodiak Area | Alaska | U.S. |
| Total Housing Units | 4,605, 100% | 234,779 | 112,611,029 |
| Utility Gas | 170, 3.69%, see rank | 48.57% | 50.14% |
| Bottled, Tank, or LP Gas | 211, 4.58%, see rank | 1.65% | 5.58% |
| Electricity | 237, 5.15%, see rank | 10.11% | 33.56% |
| Fuel Oil, Kerosene, etc. | 3,765, 81.76%, see rank | 33.78% | 7.38% |
| Coal or Coke | 17, 0.37%, see rank | 0.43% | 0.12% |
| Wood | 128, 2.78%, see rank | 4.44% | 1.89% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.03% |
| Other Fuel | 68, 1.48%, see rank | 0.61% | 0.42% |
| No Fuel Used | 9, 0.20%, see rank | 0.39% | 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.
