01854 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 01854 Zip Code | Massachusetts | U.S. |
Total Housing Units | 9,632, 100% | 2,538,485 | 116,211,092 |
Utility Gas | 6,870, 71.32%, see rank | 49.70% | 48.85% |
Bottled, Tank, or LP Gas | 138, 1.43%, see rank | 2.86% | 4.86% |
Electricity | 1,591, 16.52%, see rank | 14.23% | 36.68% |
Fuel Oil, Kerosene, etc. | 768, 7.97%, see rank | 30.36% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.13% | 0.12% |
Wood | 10, 0.10%, see rank | 1.69% | 2.12% |
Solar Energy | 6, 0.06%, see rank | 0.03% | 0.05% |
Other Fuel | 138, 1.43%, see rank | 0.65% | 0.47% |
No Fuel Used | 111, 1.15%, see rank | 0.35% | 1.00% |
ACS 2008-2012 data
| 01854 Zip Code | Massachusetts | U.S. |
Total Housing Units | 9,799, 100% | 2,525,694 | 115,226,802 |
Utility Gas | 6,940, 70.82%, see rank | 48.52% | 49.42% |
Bottled, Tank, or LP Gas | 113, 1.15%, see rank | 2.58% | 5.03% |
Electricity | 1,643, 16.77%, see rank | 13.69% | 35.51% |
Fuel Oil, Kerosene, etc. | 932, 9.51%, see rank | 32.78% | 6.46% |
Coal or Coke | 7, 0.07%, see rank | 0.12% | 0.12% |
Wood | 8, 0.08%, see rank | 1.52% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
Other Fuel | 128, 1.31%, see rank | 0.53% | 0.43% |
No Fuel Used | 28, 0.29%, see rank | 0.23% | 0.90% |
US Census 2000 data
| 01854 Zip Code | Massachusetts | U.S. |
Total Housing Units | 9,085, 100% | 2,443,580 | 105,480,101 |
Utility Gas | 6,646, 73.15%, see rank | 43.89% | 51.22% |
Bottled, Tank, or LP Gas | 260, 2.86%, see rank | 2.63% | 6.52% |
Electricity | 1,166, 12.83%, see rank | 12.42% | 30.35% |
Fuel Oil, Kerosene, etc. | 949, 10.45%, see rank | 39.42% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.11% | 0.14% |
Wood | 17, 0.19%, see rank | 0.80% | 1.68% |
Solar Energy | 6, 0.07%, see rank | 0.02% | 0.04% |
Other Fuel | 24, 0.26%, see rank | 0.44% | 0.39% |
No Fuel Used | 17, 0.19%, 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.