05252 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 05252 Zip Code | Vermont | U.S. |
| Total Housing Units | 130, 100% | 257,252 | 116,211,092 |
| Utility Gas | 0, 0.00%, see rank | 16.14% | 48.85% |
| Bottled, Tank, or LP Gas | 17, 13.08%, see rank | 14.84% | 4.86% |
| Electricity | 3, 2.31%, see rank | 4.69% | 36.68% |
| Fuel Oil, Kerosene, etc. | 77, 59.23%, see rank | 45.66% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.26% | 0.12% |
| Wood | 31, 23.85%, see rank | 16.71% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.07% | 0.05% |
| Other Fuel | 2, 1.54%, see rank | 1.40% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.23% | 1.00% |
ACS 2008-2012 data
| | 05252 Zip Code | Vermont | U.S. |
| Total Housing Units | 116, 100% | 256,830 | 115,226,802 |
| Utility Gas | 0, 0.00%, see rank | 15.32% | 49.42% |
| Bottled, Tank, or LP Gas | 15, 12.93%, see rank | 14.72% | 5.03% |
| Electricity | 0, 0.00%, see rank | 4.55% | 35.51% |
| Fuel Oil, Kerosene, etc. | 77, 66.38%, see rank | 48.31% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.24% | 0.12% |
| Wood | 22, 18.97%, see rank | 15.35% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.06% | 0.04% |
| Other Fuel | 2, 1.72%, see rank | 1.23% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.22% | 0.90% |
US Census 2000 data
| | 05252 Zip Code | Vermont | U.S. |
| Total Housing Units | 127, 100% | 240,634 | 105,480,101 |
| Utility Gas | 0, 0.00%, see rank | 12.15% | 51.22% |
| Bottled, Tank, or LP Gas | 16, 12.60%, see rank | 14.43% | 6.52% |
| Electricity | 8, 6.30%, see rank | 4.72% | 30.35% |
| Fuel Oil, Kerosene, etc. | 96, 75.59%, see rank | 58.61% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.18% | 0.14% |
| Wood | 7, 5.51%, see rank | 9.40% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.04% | 0.04% |
| Other Fuel | 0, 0.00%, 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.
