01247 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 01247 Zip Code | Massachusetts | U.S. |
Total Housing Units | 7,072, 100% | 2,538,485 | 116,211,092 |
Utility Gas | 2,960, 41.86%, see rank | 49.70% | 48.85% |
Bottled, Tank, or LP Gas | 351, 4.96%, see rank | 2.86% | 4.86% |
Electricity | 465, 6.58%, see rank | 14.23% | 36.68% |
Fuel Oil, Kerosene, etc. | 2,722, 38.49%, see rank | 30.36% | 5.86% |
Coal or Coke | 63, 0.89%, see rank | 0.13% | 0.12% |
Wood | 345, 4.88%, see rank | 1.69% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
Other Fuel | 141, 1.99%, see rank | 0.65% | 0.47% |
No Fuel Used | 25, 0.35%, see rank | 0.35% | 1.00% |
ACS 2008-2012 data
| 01247 Zip Code | Massachusetts | U.S. |
Total Housing Units | 6,891, 100% | 2,525,694 | 115,226,802 |
Utility Gas | 2,749, 39.89%, see rank | 48.52% | 49.42% |
Bottled, Tank, or LP Gas | 390, 5.66%, see rank | 2.58% | 5.03% |
Electricity | 410, 5.95%, see rank | 13.69% | 35.51% |
Fuel Oil, Kerosene, etc. | 2,877, 41.75%, see rank | 32.78% | 6.46% |
Coal or Coke | 75, 1.09%, see rank | 0.12% | 0.12% |
Wood | 338, 4.90%, see rank | 1.52% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
Other Fuel | 49, 0.71%, see rank | 0.53% | 0.43% |
No Fuel Used | 3, 0.04%, see rank | 0.23% | 0.90% |
US Census 2000 data
| 01247 Zip Code | Massachusetts | U.S. |
Total Housing Units | 7,236, 100% | 2,443,580 | 105,480,101 |
Utility Gas | 3,070, 42.43%, see rank | 43.89% | 51.22% |
Bottled, Tank, or LP Gas | 347, 4.80%, see rank | 2.63% | 6.52% |
Electricity | 334, 4.62%, see rank | 12.42% | 30.35% |
Fuel Oil, Kerosene, etc. | 3,294, 45.52%, see rank | 39.42% | 8.97% |
Coal or Coke | 9, 0.12%, see rank | 0.11% | 0.14% |
Wood | 140, 1.93%, see rank | 0.80% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 40, 0.55%, see rank | 0.44% | 0.39% |
No Fuel Used | 2, 0.03%, 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.