01590 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 01590 Zip Code | Massachusetts | U.S. |
Total Housing Units | 3,081, 100% | 2,538,485 | 116,211,092 |
Utility Gas | 314, 10.19%, see rank | 49.70% | 48.85% |
Bottled, Tank, or LP Gas | 83, 2.69%, see rank | 2.86% | 4.86% |
Electricity | 256, 8.31%, see rank | 14.23% | 36.68% |
Fuel Oil, Kerosene, etc. | 2,178, 70.69%, see rank | 30.36% | 5.86% |
Coal or Coke | 12, 0.39%, see rank | 0.13% | 0.12% |
Wood | 142, 4.61%, see rank | 1.69% | 2.12% |
Solar Energy | 11, 0.36%, see rank | 0.03% | 0.05% |
Other Fuel | 72, 2.34%, see rank | 0.65% | 0.47% |
No Fuel Used | 13, 0.42%, see rank | 0.35% | 1.00% |
ACS 2008-2012 data
| 01590 Zip Code | Massachusetts | U.S. |
Total Housing Units | 2,975, 100% | 2,525,694 | 115,226,802 |
Utility Gas | 345, 11.60%, see rank | 48.52% | 49.42% |
Bottled, Tank, or LP Gas | 111, 3.73%, see rank | 2.58% | 5.03% |
Electricity | 232, 7.80%, see rank | 13.69% | 35.51% |
Fuel Oil, Kerosene, etc. | 2,097, 70.49%, see rank | 32.78% | 6.46% |
Coal or Coke | 32, 1.08%, see rank | 0.12% | 0.12% |
Wood | 42, 1.41%, see rank | 1.52% | 2.08% |
Solar Energy | 10, 0.34%, see rank | 0.03% | 0.04% |
Other Fuel | 94, 3.16%, see rank | 0.53% | 0.43% |
No Fuel Used | 12, 0.40%, see rank | 0.23% | 0.90% |
US Census 2000 data
| 01590 Zip Code | Massachusetts | U.S. |
Total Housing Units | 2,811, 100% | 2,443,580 | 105,480,101 |
Utility Gas | 104, 3.70%, see rank | 43.89% | 51.22% |
Bottled, Tank, or LP Gas | 76, 2.70%, see rank | 2.63% | 6.52% |
Electricity | 386, 13.73%, see rank | 12.42% | 30.35% |
Fuel Oil, Kerosene, etc. | 2,155, 76.66%, see rank | 39.42% | 8.97% |
Coal or Coke | 18, 0.64%, see rank | 0.11% | 0.14% |
Wood | 64, 2.28%, see rank | 0.80% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 8, 0.28%, 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.