07102 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 07102 Zip Code | New Jersey | U.S. |
Total Housing Units | 4,491, 100% | 3,188,498 | 116,211,092 |
Utility Gas | 2,598, 57.85%, see rank | 74.16% | 48.85% |
Bottled, Tank, or LP Gas | 112, 2.49%, see rank | 1.94% | 4.86% |
Electricity | 1,311, 29.19%, see rank | 11.66% | 36.68% |
Fuel Oil, Kerosene, etc. | 401, 8.93%, see rank | 11.10% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.12% |
Wood | 0, 0.00%, see rank | 0.44% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
Other Fuel | 15, 0.33%, see rank | 0.32% | 0.47% |
No Fuel Used | 54, 1.20%, see rank | 0.32% | 1.00% |
ACS 2008-2012 data
| 07102 Zip Code | New Jersey | U.S. |
Total Housing Units | 4,558, 100% | 3,186,878 | 115,226,802 |
Utility Gas | 2,454, 53.84%, see rank | 73.60% | 49.42% |
Bottled, Tank, or LP Gas | 101, 2.22%, see rank | 1.98% | 5.03% |
Electricity | 1,314, 28.83%, see rank | 10.96% | 35.51% |
Fuel Oil, Kerosene, etc. | 618, 13.56%, see rank | 12.48% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.12% |
Wood | 0, 0.00%, see rank | 0.39% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 42, 0.92%, see rank | 0.28% | 0.43% |
No Fuel Used | 29, 0.64%, see rank | 0.27% | 0.90% |
US Census 2000 data
| 07102 Zip Code | New Jersey | U.S. |
Total Housing Units | 4,573, 100% | 3,064,645 | 105,480,101 |
Utility Gas | 2,420, 52.92%, see rank | 66.83% | 51.22% |
Bottled, Tank, or LP Gas | 103, 2.25%, see rank | 2.40% | 6.52% |
Electricity | 1,013, 22.15%, see rank | 10.32% | 30.35% |
Fuel Oil, Kerosene, etc. | 848, 18.54%, see rank | 19.42% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.04% | 0.14% |
Wood | 0, 0.00%, see rank | 0.23% | 1.68% |
Solar Energy | 8, 0.17%, see rank | 0.01% | 0.04% |
Other Fuel | 46, 1.01%, see rank | 0.42% | 0.39% |
No Fuel Used | 135, 2.95%, see rank | 0.33% | 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.