02043 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 02043 Zip Code | Massachusetts | U.S. |
Total Housing Units | 8,375, 100% | 2,538,485 | 116,211,092 |
Utility Gas | 3,727, 44.50%, see rank | 49.70% | 48.85% |
Bottled, Tank, or LP Gas | 131, 1.56%, see rank | 2.86% | 4.86% |
Electricity | 892, 10.65%, see rank | 14.23% | 36.68% |
Fuel Oil, Kerosene, etc. | 3,503, 41.83%, see rank | 30.36% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.13% | 0.12% |
Wood | 40, 0.48%, see rank | 1.69% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
Other Fuel | 57, 0.68%, see rank | 0.65% | 0.47% |
No Fuel Used | 25, 0.30%, see rank | 0.35% | 1.00% |
ACS 2008-2012 data
| 02043 Zip Code | Massachusetts | U.S. |
Total Housing Units | 8,140, 100% | 2,525,694 | 115,226,802 |
Utility Gas | 3,532, 43.39%, see rank | 48.52% | 49.42% |
Bottled, Tank, or LP Gas | 93, 1.14%, see rank | 2.58% | 5.03% |
Electricity | 869, 10.68%, see rank | 13.69% | 35.51% |
Fuel Oil, Kerosene, etc. | 3,540, 43.49%, see rank | 32.78% | 6.46% |
Coal or Coke | 19, 0.23%, see rank | 0.12% | 0.12% |
Wood | 45, 0.55%, see rank | 1.52% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
Other Fuel | 24, 0.29%, see rank | 0.53% | 0.43% |
No Fuel Used | 18, 0.22%, see rank | 0.23% | 0.90% |
US Census 2000 data
| 02043 Zip Code | Massachusetts | U.S. |
Total Housing Units | 7,189, 100% | 2,443,580 | 105,480,101 |
Utility Gas | 2,321, 32.29%, see rank | 43.89% | 51.22% |
Bottled, Tank, or LP Gas | 18, 0.25%, see rank | 2.63% | 6.52% |
Electricity | 223, 3.10%, see rank | 12.42% | 30.35% |
Fuel Oil, Kerosene, etc. | 4,598, 63.96%, see rank | 39.42% | 8.97% |
Coal or Coke | 6, 0.08%, see rank | 0.11% | 0.14% |
Wood | 12, 0.17%, see rank | 0.80% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 11, 0.15%, 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.