03051 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 03051 Zip Code | New Hampshire | U.S. |
Total Housing Units | 8,763, 100% | 519,580 | 116,211,092 |
Utility Gas | 4,535, 51.75%, see rank | 19.69% | 48.85% |
Bottled, Tank, or LP Gas | 1,296, 14.79%, see rank | 14.22% | 4.86% |
Electricity | 451, 5.15%, see rank | 8.15% | 36.68% |
Fuel Oil, Kerosene, etc. | 2,233, 25.48%, see rank | 47.16% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.17% | 0.12% |
Wood | 230, 2.62%, see rank | 8.26% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.06% | 0.05% |
Other Fuel | 18, 0.21%, see rank | 1.51% | 0.47% |
No Fuel Used | 0, 0.00%, see rank | 0.79% | 1.00% |
ACS 2008-2012 data
| 03051 Zip Code | New Hampshire | U.S. |
Total Housing Units | 8,736, 100% | 516,845 | 115,226,802 |
Utility Gas | 4,402, 50.39%, see rank | 19.72% | 49.42% |
Bottled, Tank, or LP Gas | 1,216, 13.92%, see rank | 13.45% | 5.03% |
Electricity | 516, 5.91%, see rank | 7.72% | 35.51% |
Fuel Oil, Kerosene, etc. | 2,307, 26.41%, see rank | 49.88% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.13% | 0.12% |
Wood | 255, 2.92%, see rank | 7.19% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.05% | 0.04% |
Other Fuel | 40, 0.46%, see rank | 1.20% | 0.43% |
No Fuel Used | 0, 0.00%, see rank | 0.66% | 0.90% |
US Census 2000 data
| 03051 Zip Code | New Hampshire | U.S. |
Total Housing Units | 8,034, 100% | 474,606 | 105,480,101 |
Utility Gas | 3,564, 44.36%, see rank | 18.39% | 51.22% |
Bottled, Tank, or LP Gas | 1,008, 12.55%, see rank | 10.71% | 6.52% |
Electricity | 769, 9.57%, see rank | 7.63% | 30.35% |
Fuel Oil, Kerosene, etc. | 2,492, 31.02%, see rank | 58.12% | 8.97% |
Coal or Coke | 16, 0.20%, see rank | 0.18% | 0.14% |
Wood | 137, 1.71%, see rank | 4.26% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.04% | 0.04% |
Other Fuel | 24, 0.30%, see rank | 0.48% | 0.39% |
No Fuel Used | 24, 0.30%, 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.