08081 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 08081 Zip Code | New Jersey | U.S. |
Total Housing Units | 16,766, 100% | 3,188,498 | 116,211,092 |
Utility Gas | 13,257, 79.07%, see rank | 74.16% | 48.85% |
Bottled, Tank, or LP Gas | 107, 0.64%, see rank | 1.94% | 4.86% |
Electricity | 2,318, 13.83%, see rank | 11.66% | 36.68% |
Fuel Oil, Kerosene, etc. | 1,004, 5.99%, see rank | 11.10% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.12% |
Wood | 37, 0.22%, see rank | 0.44% | 2.12% |
Solar Energy | 13, 0.08%, see rank | 0.03% | 0.05% |
Other Fuel | 30, 0.18%, see rank | 0.32% | 0.47% |
No Fuel Used | 0, 0.00%, see rank | 0.32% | 1.00% |
ACS 2008-2012 data
| 08081 Zip Code | New Jersey | U.S. |
Total Housing Units | 17,097, 100% | 3,186,878 | 115,226,802 |
Utility Gas | 13,092, 76.57%, see rank | 73.60% | 49.42% |
Bottled, Tank, or LP Gas | 208, 1.22%, see rank | 1.98% | 5.03% |
Electricity | 2,717, 15.89%, see rank | 10.96% | 35.51% |
Fuel Oil, Kerosene, etc. | 992, 5.80%, see rank | 12.48% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.12% |
Wood | 73, 0.43%, see rank | 0.39% | 2.08% |
Solar Energy | 15, 0.09%, see rank | 0.01% | 0.04% |
Other Fuel | 0, 0.00%, see rank | 0.28% | 0.43% |
No Fuel Used | 0, 0.00%, see rank | 0.27% | 0.90% |
US Census 2000 data
| 08081 Zip Code | New Jersey | U.S. |
Total Housing Units | 14,052, 100% | 3,064,645 | 105,480,101 |
Utility Gas | 10,296, 73.27%, see rank | 66.83% | 51.22% |
Bottled, Tank, or LP Gas | 188, 1.34%, see rank | 2.40% | 6.52% |
Electricity | 2,046, 14.56%, see rank | 10.32% | 30.35% |
Fuel Oil, Kerosene, etc. | 1,471, 10.47%, see rank | 19.42% | 8.97% |
Coal or Coke | 7, 0.05%, see rank | 0.04% | 0.14% |
Wood | 8, 0.06%, see rank | 0.23% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 19, 0.14%, see rank | 0.42% | 0.39% |
No Fuel Used | 17, 0.12%, 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.