08096 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 08096 Zip Code | New Jersey | U.S. |
Total Housing Units | 13,532, 100% | 3,188,498 | 116,211,092 |
Utility Gas | 10,195, 75.34%, see rank | 74.16% | 48.85% |
Bottled, Tank, or LP Gas | 52, 0.38%, see rank | 1.94% | 4.86% |
Electricity | 1,448, 10.70%, see rank | 11.66% | 36.68% |
Fuel Oil, Kerosene, etc. | 1,774, 13.11%, 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 | 0, 0.00%, see rank | 0.03% | 0.05% |
Other Fuel | 35, 0.26%, see rank | 0.32% | 0.47% |
No Fuel Used | 21, 0.16%, see rank | 0.32% | 1.00% |
ACS 2008-2012 data
| 08096 Zip Code | New Jersey | U.S. |
Total Housing Units | 13,712, 100% | 3,186,878 | 115,226,802 |
Utility Gas | 10,361, 75.56%, see rank | 73.60% | 49.42% |
Bottled, Tank, or LP Gas | 143, 1.04%, see rank | 1.98% | 5.03% |
Electricity | 1,405, 10.25%, see rank | 10.96% | 35.51% |
Fuel Oil, Kerosene, etc. | 1,741, 12.70%, see rank | 12.48% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.12% |
Wood | 17, 0.12%, see rank | 0.39% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 35, 0.26%, see rank | 0.28% | 0.43% |
No Fuel Used | 10, 0.07%, see rank | 0.27% | 0.90% |
US Census 2000 data
| 08096 Zip Code | New Jersey | U.S. |
Total Housing Units | 12,431, 100% | 3,064,645 | 105,480,101 |
Utility Gas | 8,912, 71.69%, see rank | 66.83% | 51.22% |
Bottled, Tank, or LP Gas | 154, 1.24%, see rank | 2.40% | 6.52% |
Electricity | 929, 7.47%, see rank | 10.32% | 30.35% |
Fuel Oil, Kerosene, etc. | 2,341, 18.83%, see rank | 19.42% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.04% | 0.14% |
Wood | 19, 0.15%, see rank | 0.23% | 1.68% |
Solar Energy | 12, 0.10%, see rank | 0.01% | 0.04% |
Other Fuel | 57, 0.46%, see rank | 0.42% | 0.39% |
No Fuel Used | 7, 0.06%, 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.