03444 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 03444 Zip Code | New Hampshire | U.S. |
| Total Housing Units | 620, 100% | 519,580 | 116,211,092 |
| Utility Gas | 0, 0.00%, see rank | 19.69% | 48.85% |
| Bottled, Tank, or LP Gas | 50, 8.06%, see rank | 14.22% | 4.86% |
| Electricity | 7, 1.13%, see rank | 8.15% | 36.68% |
| Fuel Oil, Kerosene, etc. | 470, 75.81%, see rank | 47.16% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.17% | 0.12% |
| Wood | 88, 14.19%, see rank | 8.26% | 2.12% |
| Solar Energy | 2, 0.32%, see rank | 0.06% | 0.05% |
| Other Fuel | 3, 0.48%, see rank | 1.51% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.79% | 1.00% |
ACS 2008-2012 data
| | 03444 Zip Code | New Hampshire | U.S. |
| Total Housing Units | 620, 100% | 516,845 | 115,226,802 |
| Utility Gas | 0, 0.00%, see rank | 19.72% | 49.42% |
| Bottled, Tank, or LP Gas | 40, 6.45%, see rank | 13.45% | 5.03% |
| Electricity | 3, 0.48%, see rank | 7.72% | 35.51% |
| Fuel Oil, Kerosene, etc. | 431, 69.52%, see rank | 49.88% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.13% | 0.12% |
| Wood | 140, 22.58%, see rank | 7.19% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.05% | 0.04% |
| Other Fuel | 6, 0.97%, see rank | 1.20% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.66% | 0.90% |
US Census 2000 data
| | 03444 Zip Code | New Hampshire | U.S. |
| Total Housing Units | 437, 100% | 474,606 | 105,480,101 |
| Utility Gas | 0, 0.00%, see rank | 18.39% | 51.22% |
| Bottled, Tank, or LP Gas | 21, 4.81%, see rank | 10.71% | 6.52% |
| Electricity | 13, 2.97%, see rank | 7.63% | 30.35% |
| Fuel Oil, Kerosene, etc. | 352, 80.55%, see rank | 58.12% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.18% | 0.14% |
| Wood | 51, 11.67%, see rank | 4.26% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.04% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.48% | 0.39% |
| No Fuel Used | 0, 0.00%, see rank | 0.19% | 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.
