05363 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 05363 Zip Code | Vermont | U.S. |
| Total Housing Units | 1,008, 100% | 257,252 | 116,211,092 |
| Utility Gas | 0, 0.00%, see rank | 16.14% | 48.85% |
| Bottled, Tank, or LP Gas | 312, 30.95%, see rank | 14.84% | 4.86% |
| Electricity | 19, 1.88%, see rank | 4.69% | 36.68% |
| Fuel Oil, Kerosene, etc. | 374, 37.10%, see rank | 45.66% | 5.86% |
| Coal or Coke | 21, 2.08%, see rank | 0.26% | 0.12% |
| Wood | 235, 23.31%, see rank | 16.71% | 2.12% |
| Solar Energy | 14, 1.39%, see rank | 0.07% | 0.05% |
| Other Fuel | 16, 1.59%, see rank | 1.40% | 0.47% |
| No Fuel Used | 17, 1.69%, see rank | 0.23% | 1.00% |
ACS 2008-2012 data
| | 05363 Zip Code | Vermont | U.S. |
| Total Housing Units | 1,136, 100% | 256,830 | 115,226,802 |
| Utility Gas | 0, 0.00%, see rank | 15.32% | 49.42% |
| Bottled, Tank, or LP Gas | 322, 28.35%, see rank | 14.72% | 5.03% |
| Electricity | 75, 6.60%, see rank | 4.55% | 35.51% |
| Fuel Oil, Kerosene, etc. | 470, 41.37%, see rank | 48.31% | 6.46% |
| Coal or Coke | 23, 2.02%, see rank | 0.24% | 0.12% |
| Wood | 222, 19.54%, see rank | 15.35% | 2.08% |
| Solar Energy | 15, 1.32%, see rank | 0.06% | 0.04% |
| Other Fuel | 5, 0.44%, see rank | 1.23% | 0.43% |
| No Fuel Used | 4, 0.35%, see rank | 0.22% | 0.90% |
US Census 2000 data
| | 05363 Zip Code | Vermont | U.S. |
| Total Housing Units | 1,006, 100% | 240,634 | 105,480,101 |
| Utility Gas | 5, 0.50%, see rank | 12.15% | 51.22% |
| Bottled, Tank, or LP Gas | 229, 22.76%, see rank | 14.43% | 6.52% |
| Electricity | 61, 6.06%, see rank | 4.72% | 30.35% |
| Fuel Oil, Kerosene, etc. | 548, 54.47%, see rank | 58.61% | 8.97% |
| Coal or Coke | 4, 0.40%, see rank | 0.18% | 0.14% |
| Wood | 150, 14.91%, see rank | 9.40% | 1.68% |
| Solar Energy | 2, 0.20%, see rank | 0.04% | 0.04% |
| Other Fuel | 2, 0.20%, see rank | 0.34% | 0.39% |
| No Fuel Used | 5, 0.50%, 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.
