Troy, NH Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Troy, NH | New Hampshire | U.S. |
| Total Housing Units | 584, 100% | 519,580 | 116,211,092 |
| Utility Gas | 0, 0.00%, see rank | 19.69% | 48.85% |
| Bottled, Tank, or LP Gas | 38, 6.51%, see rank | 14.22% | 4.86% |
| Electricity | 72, 12.33%, see rank | 8.15% | 36.68% |
| Fuel Oil, Kerosene, etc. | 320, 54.79%, see rank | 47.16% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.17% | 0.12% |
| Wood | 121, 20.72%, see rank | 8.26% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.06% | 0.05% |
| Other Fuel | 33, 5.65%, see rank | 1.51% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.79% | 1.00% |
ACS 2008-2012 data
| | Troy, NH | New Hampshire | U.S. |
| Total Housing Units | 567, 100% | 516,845 | 115,226,802 |
| Utility Gas | 0, 0.00%, see rank | 19.72% | 49.42% |
| Bottled, Tank, or LP Gas | 42, 7.41%, see rank | 13.45% | 5.03% |
| Electricity | 51, 8.99%, see rank | 7.72% | 35.51% |
| Fuel Oil, Kerosene, etc. | 356, 62.79%, see rank | 49.88% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.13% | 0.12% |
| Wood | 77, 13.58%, see rank | 7.19% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.05% | 0.04% |
| Other Fuel | 41, 7.23%, see rank | 1.20% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.66% | 0.90% |
ACS 2006-2010 data
| | Troy, NH | New Hampshire | U.S. |
| Total Housing Units | 441, 100% | 513,804 | 114,235,996 |
| Utility Gas | 0, 0.00%, see rank | 19.73% | 49.91% |
| Bottled, Tank, or LP Gas | 50, 11.34%, see rank | 12.83% | 5.38% |
| Electricity | 15, 3.40%, see rank | 7.66% | 34.20% |
| Fuel Oil, Kerosene, etc. | 313, 70.98%, see rank | 52.26% | 7.07% |
| Coal or Coke | 4, 0.91%, see rank | 0.12% | 0.12% |
| Wood | 38, 8.62%, see rank | 5.98% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.03% |
| Other Fuel | 21, 4.76%, see rank | 0.89% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 0.50% | 0.90% |
* 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.
