03275 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 03275 Zip Code | New Hampshire | U.S. |
Total Housing Units | 4,574, 100% | 519,580 | 116,211,092 |
Utility Gas | 985, 21.53%, see rank | 19.69% | 48.85% |
Bottled, Tank, or LP Gas | 662, 14.47%, see rank | 14.22% | 4.86% |
Electricity | 236, 5.16%, see rank | 8.15% | 36.68% |
Fuel Oil, Kerosene, etc. | 2,226, 48.67%, see rank | 47.16% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.17% | 0.12% |
Wood | 394, 8.61%, see rank | 8.26% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.06% | 0.05% |
Other Fuel | 71, 1.55%, see rank | 1.51% | 0.47% |
No Fuel Used | 0, 0.00%, see rank | 0.79% | 1.00% |
ACS 2008-2012 data
| 03275 Zip Code | New Hampshire | U.S. |
Total Housing Units | 4,587, 100% | 516,845 | 115,226,802 |
Utility Gas | 1,135, 24.74%, see rank | 19.72% | 49.42% |
Bottled, Tank, or LP Gas | 632, 13.78%, see rank | 13.45% | 5.03% |
Electricity | 241, 5.25%, see rank | 7.72% | 35.51% |
Fuel Oil, Kerosene, etc. | 2,233, 48.68%, see rank | 49.88% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.13% | 0.12% |
Wood | 319, 6.95%, see rank | 7.19% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.05% | 0.04% |
Other Fuel | 27, 0.59%, see rank | 1.20% | 0.43% |
No Fuel Used | 0, 0.00%, see rank | 0.66% | 0.90% |
US Census 2000 data
| 03275 Zip Code | New Hampshire | U.S. |
Total Housing Units | 4,570, 100% | 474,606 | 105,480,101 |
Utility Gas | 773, 16.91%, see rank | 18.39% | 51.22% |
Bottled, Tank, or LP Gas | 535, 11.71%, see rank | 10.71% | 6.52% |
Electricity | 344, 7.53%, see rank | 7.63% | 30.35% |
Fuel Oil, Kerosene, etc. | 2,722, 59.56%, see rank | 58.12% | 8.97% |
Coal or Coke | 14, 0.31%, see rank | 0.18% | 0.14% |
Wood | 144, 3.15%, see rank | 4.26% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.04% | 0.04% |
Other Fuel | 29, 0.63%, see rank | 0.48% | 0.39% |
No Fuel Used | 9, 0.20%, 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.