03874 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 03874 Zip Code | New Hampshire | U.S. |
Total Housing Units | 3,872, 100% | 519,580 | 116,211,092 |
Utility Gas | 1,108, 28.62%, see rank | 19.69% | 48.85% |
Bottled, Tank, or LP Gas | 284, 7.33%, see rank | 14.22% | 4.86% |
Electricity | 584, 15.08%, see rank | 8.15% | 36.68% |
Fuel Oil, Kerosene, etc. | 1,713, 44.24%, see rank | 47.16% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.17% | 0.12% |
Wood | 82, 2.12%, see rank | 8.26% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.06% | 0.05% |
Other Fuel | 81, 2.09%, see rank | 1.51% | 0.47% |
No Fuel Used | 20, 0.52%, see rank | 0.79% | 1.00% |
ACS 2008-2012 data
| 03874 Zip Code | New Hampshire | U.S. |
Total Housing Units | 3,915, 100% | 516,845 | 115,226,802 |
Utility Gas | 1,138, 29.07%, see rank | 19.72% | 49.42% |
Bottled, Tank, or LP Gas | 187, 4.78%, see rank | 13.45% | 5.03% |
Electricity | 530, 13.54%, see rank | 7.72% | 35.51% |
Fuel Oil, Kerosene, etc. | 1,878, 47.97%, see rank | 49.88% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.13% | 0.12% |
Wood | 115, 2.94%, see rank | 7.19% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.05% | 0.04% |
Other Fuel | 49, 1.25%, see rank | 1.20% | 0.43% |
No Fuel Used | 18, 0.46%, see rank | 0.66% | 0.90% |
US Census 2000 data
| 03874 Zip Code | New Hampshire | U.S. |
Total Housing Units | 3,477, 100% | 474,606 | 105,480,101 |
Utility Gas | 1,126, 32.38%, see rank | 18.39% | 51.22% |
Bottled, Tank, or LP Gas | 118, 3.39%, see rank | 10.71% | 6.52% |
Electricity | 590, 16.97%, see rank | 7.63% | 30.35% |
Fuel Oil, Kerosene, etc. | 1,549, 44.55%, see rank | 58.12% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.18% | 0.14% |
Wood | 24, 0.69%, see rank | 4.26% | 1.68% |
Solar Energy | 52, 1.50%, see rank | 0.04% | 0.04% |
Other Fuel | 18, 0.52%, 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.