03079 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 03079 Zip Code | New Hampshire | U.S. |
Total Housing Units | 11,093, 100% | 519,580 | 116,211,092 |
Utility Gas | 1,088, 9.81%, see rank | 19.69% | 48.85% |
Bottled, Tank, or LP Gas | 1,789, 16.13%, see rank | 14.22% | 4.86% |
Electricity | 1,430, 12.89%, see rank | 8.15% | 36.68% |
Fuel Oil, Kerosene, etc. | 6,362, 57.35%, see rank | 47.16% | 5.86% |
Coal or Coke | 28, 0.25%, see rank | 0.17% | 0.12% |
Wood | 237, 2.14%, see rank | 8.26% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.06% | 0.05% |
Other Fuel | 148, 1.33%, see rank | 1.51% | 0.47% |
No Fuel Used | 11, 0.10%, see rank | 0.79% | 1.00% |
ACS 2008-2012 data
| 03079 Zip Code | New Hampshire | U.S. |
Total Housing Units | 11,219, 100% | 516,845 | 115,226,802 |
Utility Gas | 971, 8.65%, see rank | 19.72% | 49.42% |
Bottled, Tank, or LP Gas | 1,772, 15.79%, see rank | 13.45% | 5.03% |
Electricity | 1,318, 11.75%, see rank | 7.72% | 35.51% |
Fuel Oil, Kerosene, etc. | 6,787, 60.50%, see rank | 49.88% | 6.46% |
Coal or Coke | 43, 0.38%, see rank | 0.13% | 0.12% |
Wood | 214, 1.91%, see rank | 7.19% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.05% | 0.04% |
Other Fuel | 114, 1.02%, see rank | 1.20% | 0.43% |
No Fuel Used | 0, 0.00%, see rank | 0.66% | 0.90% |
US Census 2000 data
| 03079 Zip Code | New Hampshire | U.S. |
Total Housing Units | 10,402, 100% | 474,606 | 105,480,101 |
Utility Gas | 634, 6.09%, see rank | 18.39% | 51.22% |
Bottled, Tank, or LP Gas | 1,110, 10.67%, see rank | 10.71% | 6.52% |
Electricity | 869, 8.35%, see rank | 7.63% | 30.35% |
Fuel Oil, Kerosene, etc. | 7,650, 73.54%, see rank | 58.12% | 8.97% |
Coal or Coke | 9, 0.09%, see rank | 0.18% | 0.14% |
Wood | 82, 0.79%, see rank | 4.26% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.04% | 0.04% |
Other Fuel | 37, 0.36%, see rank | 0.48% | 0.39% |
No Fuel Used | 11, 0.11%, 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.