Alburg, VT Historical Type of Heating Fuel in a House Data
ACS 2006-2010 data
| | Alburg, VT | Vermont | U.S. |
| Total Housing Units | 264, 100% | 256,612 | 114,235,996 |
| Utility Gas | 20, 7.58%, see rank | 14.77% | 49.91% |
| Bottled, Tank, or LP Gas | 37, 14.02%, see rank | 14.56% | 5.38% |
| Electricity | 5, 1.89%, see rank | 4.37% | 34.20% |
| Fuel Oil, Kerosene, etc. | 177, 67.05%, see rank | 51.70% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.19% | 0.12% |
| Wood | 25, 9.47%, see rank | 13.16% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.04% | 0.03% |
| Other Fuel | 0, 0.00%, see rank | 0.88% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 0.33% | 0.90% |
ACS 2005-2009 data
| | Alburg, VT | Vermont | U.S. |
| Total Housing Units | 226, 100% | 250,375 | 112,611,029 |
| Utility Gas | 18, 7.96%, see rank | 14.17% | 50.14% |
| Bottled, Tank, or LP Gas | 48, 21.24%, see rank | 15.01% | 5.58% |
| Electricity | 5, 2.21%, see rank | 4.12% | 33.56% |
| Fuel Oil, Kerosene, etc. | 128, 56.64%, see rank | 53.56% | 7.38% |
| Coal or Coke | 0, 0.00%, see rank | 0.17% | 0.12% |
| Wood | 27, 11.95%, see rank | 11.82% | 1.89% |
| Solar Energy | 0, 0.00%, see rank | 0.04% | 0.03% |
| Other Fuel | 0, 0.00%, see rank | 0.70% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 0.41% | 0.88% |
US Census 2000 data
| | Alburg, VT | Vermont | U.S. |
| Total Housing Units | 210, 100% | 240,634 | 105,480,101 |
| Utility Gas | 5, 2.38%, see rank | 12.15% | 51.22% |
| Bottled, Tank, or LP Gas | 37, 17.62%, see rank | 14.43% | 6.52% |
| Electricity | 20, 9.52%, see rank | 4.72% | 30.35% |
| Fuel Oil, Kerosene, etc. | 142, 67.62%, see rank | 58.61% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.18% | 0.14% |
| Wood | 4, 1.90%, see rank | 9.40% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.04% | 0.04% |
| Other Fuel | 2, 0.95%, see rank | 0.34% | 0.39% |
| No Fuel Used | 0, 0.00%, see rank | 0.14% | 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.
