01718 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 01718 Zip Code | Massachusetts | U.S. |
| Total Housing Units | 144, 100% | 2,538,485 | 116,211,092 |
| Utility Gas | 128, 88.89%, see rank | 49.70% | 48.85% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 2.86% | 4.86% |
| Electricity | 16, 11.11%, see rank | 14.23% | 36.68% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 30.36% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.13% | 0.12% |
| Wood | 0, 0.00%, see rank | 1.69% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.65% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.35% | 1.00% |
ACS 2008-2012 data
| | 01718 Zip Code | Massachusetts | U.S. |
| Total Housing Units | 174, 100% | 2,525,694 | 115,226,802 |
| Utility Gas | 164, 94.25%, see rank | 48.52% | 49.42% |
| Bottled, Tank, or LP Gas | 10, 5.75%, see rank | 2.58% | 5.03% |
| Electricity | 0, 0.00%, see rank | 13.69% | 35.51% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 32.78% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.12% | 0.12% |
| Wood | 0, 0.00%, see rank | 1.52% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.53% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.23% | 0.90% |
US Census 2000 data
| | 01718 Zip Code | Massachusetts | U.S. |
| Total Housing Units | 189, 100% | 2,443,580 | 105,480,101 |
| Utility Gas | 170, 89.95%, see rank | 43.89% | 51.22% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 2.63% | 6.52% |
| Electricity | 19, 10.05%, see rank | 12.42% | 30.35% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 39.42% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.11% | 0.14% |
| Wood | 0, 0.00%, see rank | 0.80% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.44% | 0.39% |
| No Fuel Used | 0, 0.00%, see rank | 0.27% | 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.
