03842 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 03842 Zip Code | New Hampshire | U.S. |
Total Housing Units | 6,578, 100% | 519,580 | 116,211,092 |
Utility Gas | 3,818, 58.04%, see rank | 19.69% | 48.85% |
Bottled, Tank, or LP Gas | 383, 5.82%, see rank | 14.22% | 4.86% |
Electricity | 743, 11.30%, see rank | 8.15% | 36.68% |
Fuel Oil, Kerosene, etc. | 1,409, 21.42%, see rank | 47.16% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.17% | 0.12% |
Wood | 89, 1.35%, see rank | 8.26% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.06% | 0.05% |
Other Fuel | 97, 1.47%, see rank | 1.51% | 0.47% |
No Fuel Used | 39, 0.59%, see rank | 0.79% | 1.00% |
ACS 2008-2012 data
| 03842 Zip Code | New Hampshire | U.S. |
Total Housing Units | 6,685, 100% | 516,845 | 115,226,802 |
Utility Gas | 3,798, 56.81%, see rank | 19.72% | 49.42% |
Bottled, Tank, or LP Gas | 240, 3.59%, see rank | 13.45% | 5.03% |
Electricity | 786, 11.76%, see rank | 7.72% | 35.51% |
Fuel Oil, Kerosene, etc. | 1,654, 24.74%, see rank | 49.88% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.13% | 0.12% |
Wood | 90, 1.35%, see rank | 7.19% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.05% | 0.04% |
Other Fuel | 68, 1.02%, see rank | 1.20% | 0.43% |
No Fuel Used | 49, 0.73%, see rank | 0.66% | 0.90% |
US Census 2000 data
| 03842 Zip Code | New Hampshire | U.S. |
Total Housing Units | 6,405, 100% | 474,606 | 105,480,101 |
Utility Gas | 3,490, 54.49%, see rank | 18.39% | 51.22% |
Bottled, Tank, or LP Gas | 154, 2.40%, see rank | 10.71% | 6.52% |
Electricity | 806, 12.58%, see rank | 7.63% | 30.35% |
Fuel Oil, Kerosene, etc. | 1,861, 29.06%, see rank | 58.12% | 8.97% |
Coal or Coke | 8, 0.12%, see rank | 0.18% | 0.14% |
Wood | 49, 0.77%, see rank | 4.26% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.04% | 0.04% |
Other Fuel | 37, 0.58%, 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.