01775 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 01775 Zip Code | Massachusetts | U.S. |
Total Housing Units | 2,460, 100% | 2,538,485 | 116,211,092 |
Utility Gas | 637, 25.89%, see rank | 49.70% | 48.85% |
Bottled, Tank, or LP Gas | 129, 5.24%, see rank | 2.86% | 4.86% |
Electricity | 264, 10.73%, see rank | 14.23% | 36.68% |
Fuel Oil, Kerosene, etc. | 1,327, 53.94%, see rank | 30.36% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.13% | 0.12% |
Wood | 91, 3.70%, see rank | 1.69% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
Other Fuel | 12, 0.49%, see rank | 0.65% | 0.47% |
No Fuel Used | 0, 0.00%, see rank | 0.35% | 1.00% |
ACS 2008-2012 data
| 01775 Zip Code | Massachusetts | U.S. |
Total Housing Units | 2,331, 100% | 2,525,694 | 115,226,802 |
Utility Gas | 510, 21.88%, see rank | 48.52% | 49.42% |
Bottled, Tank, or LP Gas | 76, 3.26%, see rank | 2.58% | 5.03% |
Electricity | 245, 10.51%, see rank | 13.69% | 35.51% |
Fuel Oil, Kerosene, etc. | 1,445, 61.99%, see rank | 32.78% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.12% | 0.12% |
Wood | 43, 1.84%, see rank | 1.52% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
Other Fuel | 12, 0.51%, see rank | 0.53% | 0.43% |
No Fuel Used | 0, 0.00%, see rank | 0.23% | 0.90% |
US Census 2000 data
| 01775 Zip Code | Massachusetts | U.S. |
Total Housing Units | 2,082, 100% | 2,443,580 | 105,480,101 |
Utility Gas | 433, 20.80%, see rank | 43.89% | 51.22% |
Bottled, Tank, or LP Gas | 38, 1.83%, see rank | 2.63% | 6.52% |
Electricity | 182, 8.74%, see rank | 12.42% | 30.35% |
Fuel Oil, Kerosene, etc. | 1,343, 64.51%, see rank | 39.42% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.11% | 0.14% |
Wood | 66, 3.17%, see rank | 0.80% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 20, 0.96%, 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.