05777 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 05777 Zip Code | Vermont | U.S. |
| Total Housing Units | 1,429, 100% | 257,252 | 116,211,092 |
| Utility Gas | 5, 0.35%, see rank | 16.14% | 48.85% |
| Bottled, Tank, or LP Gas | 167, 11.69%, see rank | 14.84% | 4.86% |
| Electricity | 23, 1.61%, see rank | 4.69% | 36.68% |
| Fuel Oil, Kerosene, etc. | 893, 62.49%, see rank | 45.66% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.26% | 0.12% |
| Wood | 278, 19.45%, see rank | 16.71% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.07% | 0.05% |
| Other Fuel | 63, 4.41%, see rank | 1.40% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.23% | 1.00% |
ACS 2008-2012 data
| | 05777 Zip Code | Vermont | U.S. |
| Total Housing Units | 1,476, 100% | 256,830 | 115,226,802 |
| Utility Gas | 4, 0.27%, see rank | 15.32% | 49.42% |
| Bottled, Tank, or LP Gas | 176, 11.92%, see rank | 14.72% | 5.03% |
| Electricity | 42, 2.85%, see rank | 4.55% | 35.51% |
| Fuel Oil, Kerosene, etc. | 958, 64.91%, see rank | 48.31% | 6.46% |
| Coal or Coke | 6, 0.41%, see rank | 0.24% | 0.12% |
| Wood | 247, 16.73%, see rank | 15.35% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.06% | 0.04% |
| Other Fuel | 43, 2.91%, see rank | 1.23% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.22% | 0.90% |
US Census 2000 data
| | 05777 Zip Code | Vermont | U.S. |
| Total Housing Units | 1,427, 100% | 240,634 | 105,480,101 |
| Utility Gas | 15, 1.05%, see rank | 12.15% | 51.22% |
| Bottled, Tank, or LP Gas | 149, 10.44%, see rank | 14.43% | 6.52% |
| Electricity | 45, 3.15%, see rank | 4.72% | 30.35% |
| Fuel Oil, Kerosene, etc. | 1,093, 76.59%, see rank | 58.61% | 8.97% |
| Coal or Coke | 6, 0.42%, see rank | 0.18% | 0.14% |
| Wood | 115, 8.06%, see rank | 9.40% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.04% | 0.04% |
| Other Fuel | 4, 0.28%, 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.
