07060 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 07060 Zip Code | New Jersey | U.S. |
Total Housing Units | 13,866, 100% | 3,188,498 | 116,211,092 |
Utility Gas | 10,607, 76.50%, see rank | 74.16% | 48.85% |
Bottled, Tank, or LP Gas | 100, 0.72%, see rank | 1.94% | 4.86% |
Electricity | 1,336, 9.64%, see rank | 11.66% | 36.68% |
Fuel Oil, Kerosene, etc. | 1,710, 12.33%, see rank | 11.10% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.12% |
Wood | 7, 0.05%, see rank | 0.44% | 2.12% |
Solar Energy | 11, 0.08%, see rank | 0.03% | 0.05% |
Other Fuel | 27, 0.19%, see rank | 0.32% | 0.47% |
No Fuel Used | 68, 0.49%, see rank | 0.32% | 1.00% |
ACS 2008-2012 data
| 07060 Zip Code | New Jersey | U.S. |
Total Housing Units | 13,962, 100% | 3,186,878 | 115,226,802 |
Utility Gas | 10,485, 75.10%, see rank | 73.60% | 49.42% |
Bottled, Tank, or LP Gas | 105, 0.75%, see rank | 1.98% | 5.03% |
Electricity | 1,367, 9.79%, see rank | 10.96% | 35.51% |
Fuel Oil, Kerosene, etc. | 1,892, 13.55%, see rank | 12.48% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.12% |
Wood | 21, 0.15%, see rank | 0.39% | 2.08% |
Solar Energy | 10, 0.07%, see rank | 0.01% | 0.04% |
Other Fuel | 21, 0.15%, see rank | 0.28% | 0.43% |
No Fuel Used | 61, 0.44%, see rank | 0.27% | 0.90% |
US Census 2000 data
| 07060 Zip Code | New Jersey | U.S. |
Total Housing Units | 16,214, 100% | 3,064,645 | 105,480,101 |
Utility Gas | 10,910, 67.29%, see rank | 66.83% | 51.22% |
Bottled, Tank, or LP Gas | 291, 1.79%, see rank | 2.40% | 6.52% |
Electricity | 1,470, 9.07%, see rank | 10.32% | 30.35% |
Fuel Oil, Kerosene, etc. | 3,384, 20.87%, see rank | 19.42% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.04% | 0.14% |
Wood | 18, 0.11%, see rank | 0.23% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 82, 0.51%, see rank | 0.42% | 0.39% |
No Fuel Used | 59, 0.36%, 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.