99576 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 99576 Zip Code | Alaska | U.S. |
| Total Housing Units | 824, 100% | 251,678 | 116,211,092 |
| Utility Gas | 12, 1.46%, see rank | 48.28% | 48.85% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 1.42% | 4.86% |
| Electricity | 14, 1.70%, see rank | 11.43% | 36.68% |
| Fuel Oil, Kerosene, etc. | 683, 82.89%, see rank | 31.25% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.33% | 0.12% |
| Wood | 112, 13.59%, see rank | 6.25% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.05% |
| Other Fuel | 3, 0.36%, see rank | 0.65% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.39% | 1.00% |
ACS 2008-2012 data
| | 99576 Zip Code | Alaska | U.S. |
| Total Housing Units | 800, 100% | 252,991 | 115,226,802 |
| Utility Gas | 25, 3.13%, see rank | 48.65% | 49.42% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 1.57% | 5.03% |
| Electricity | 9, 1.13%, see rank | 10.46% | 35.51% |
| Fuel Oil, Kerosene, etc. | 669, 83.63%, see rank | 32.21% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.36% | 0.12% |
| Wood | 88, 11.00%, see rank | 5.91% | 2.08% |
| Solar Energy | 3, 0.38%, see rank | 0.02% | 0.04% |
| Other Fuel | 6, 0.75%, see rank | 0.55% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.27% | 0.90% |
US Census 2000 data
| | 99576 Zip Code | Alaska | U.S. |
| Total Housing Units | 974, 100% | 221,600 | 105,480,101 |
| Utility Gas | 2, 0.21%, see rank | 45.89% | 51.22% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 2.20% | 6.52% |
| Electricity | 34, 3.49%, see rank | 10.24% | 30.35% |
| Fuel Oil, Kerosene, etc. | 895, 91.89%, see rank | 35.84% | 8.97% |
| Coal or Coke | 2, 0.21%, see rank | 0.49% | 0.14% |
| Wood | 26, 2.67%, see rank | 3.70% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 8, 0.82%, see rank | 1.09% | 0.39% |
| No Fuel Used | 7, 0.72%, see rank | 0.52% | 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.
