Bethlehem, NH Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Bethlehem, NH | New Hampshire | U.S. |
| Total Housing Units | 388, 100% | 519,580 | 116,211,092 |
| Utility Gas | 15, 3.87%, see rank | 19.69% | 48.85% |
| Bottled, Tank, or LP Gas | 86, 22.16%, see rank | 14.22% | 4.86% |
| Electricity | 7, 1.80%, see rank | 8.15% | 36.68% |
| Fuel Oil, Kerosene, etc. | 200, 51.55%, see rank | 47.16% | 5.86% |
| Coal or Coke | 5, 1.29%, see rank | 0.17% | 0.12% |
| Wood | 45, 11.60%, see rank | 8.26% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.06% | 0.05% |
| Other Fuel | 7, 1.80%, see rank | 1.51% | 0.47% |
| No Fuel Used | 23, 5.93%, see rank | 0.79% | 1.00% |
ACS 2008-2012 data
| | Bethlehem, NH | New Hampshire | U.S. |
| Total Housing Units | 391, 100% | 516,845 | 115,226,802 |
| Utility Gas | 14, 3.58%, see rank | 19.72% | 49.42% |
| Bottled, Tank, or LP Gas | 66, 16.88%, see rank | 13.45% | 5.03% |
| Electricity | 25, 6.39%, see rank | 7.72% | 35.51% |
| Fuel Oil, Kerosene, etc. | 209, 53.45%, see rank | 49.88% | 6.46% |
| Coal or Coke | 7, 1.79%, see rank | 0.13% | 0.12% |
| Wood | 42, 10.74%, see rank | 7.19% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.05% | 0.04% |
| Other Fuel | 7, 1.79%, see rank | 1.20% | 0.43% |
| No Fuel Used | 21, 5.37%, see rank | 0.66% | 0.90% |
ACS 2006-2010 data
| | Bethlehem, NH | New Hampshire | U.S. |
| Total Housing Units | 425, 100% | 513,804 | 114,235,996 |
| Utility Gas | 10, 2.35%, see rank | 19.73% | 49.91% |
| Bottled, Tank, or LP Gas | 42, 9.88%, see rank | 12.83% | 5.38% |
| Electricity | 32, 7.53%, see rank | 7.66% | 34.20% |
| Fuel Oil, Kerosene, etc. | 308, 72.47%, see rank | 52.26% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.12% | 0.12% |
| Wood | 33, 7.76%, see rank | 5.98% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.03% |
| Other Fuel | 0, 0.00%, 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.
