03867 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 03867 Zip Code | New Hampshire | U.S. |
Total Housing Units | 8,996, 100% | 519,580 | 116,211,092 |
Utility Gas | 1,868, 20.76%, see rank | 19.69% | 48.85% |
Bottled, Tank, or LP Gas | 992, 11.03%, see rank | 14.22% | 4.86% |
Electricity | 508, 5.65%, see rank | 8.15% | 36.68% |
Fuel Oil, Kerosene, etc. | 4,731, 52.59%, see rank | 47.16% | 5.86% |
Coal or Coke | 31, 0.34%, see rank | 0.17% | 0.12% |
Wood | 334, 3.71%, see rank | 8.26% | 2.12% |
Solar Energy | 19, 0.21%, see rank | 0.06% | 0.05% |
Other Fuel | 75, 0.83%, see rank | 1.51% | 0.47% |
No Fuel Used | 438, 4.87%, see rank | 0.79% | 1.00% |
ACS 2008-2012 data
| 03867 Zip Code | New Hampshire | U.S. |
Total Housing Units | 8,747, 100% | 516,845 | 115,226,802 |
Utility Gas | 1,900, 21.72%, see rank | 19.72% | 49.42% |
Bottled, Tank, or LP Gas | 843, 9.64%, see rank | 13.45% | 5.03% |
Electricity | 579, 6.62%, see rank | 7.72% | 35.51% |
Fuel Oil, Kerosene, etc. | 5,014, 57.32%, see rank | 49.88% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.13% | 0.12% |
Wood | 194, 2.22%, see rank | 7.19% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.05% | 0.04% |
Other Fuel | 55, 0.63%, see rank | 1.20% | 0.43% |
No Fuel Used | 162, 1.85%, see rank | 0.66% | 0.90% |
US Census 2000 data
| 03867 Zip Code | New Hampshire | U.S. |
Total Housing Units | 9,274, 100% | 474,606 | 105,480,101 |
Utility Gas | 1,780, 19.19%, see rank | 18.39% | 51.22% |
Bottled, Tank, or LP Gas | 934, 10.07%, see rank | 10.71% | 6.52% |
Electricity | 481, 5.19%, see rank | 7.63% | 30.35% |
Fuel Oil, Kerosene, etc. | 5,776, 62.28%, see rank | 58.12% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.18% | 0.14% |
Wood | 216, 2.33%, see rank | 4.26% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.04% | 0.04% |
Other Fuel | 46, 0.50%, see rank | 0.48% | 0.39% |
No Fuel Used | 41, 0.44%, 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.