07869 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 07869 Zip Code | New Jersey | U.S. |
Total Housing Units | 9,179, 100% | 3,188,498 | 116,211,092 |
Utility Gas | 6,270, 68.31%, see rank | 74.16% | 48.85% |
Bottled, Tank, or LP Gas | 230, 2.51%, see rank | 1.94% | 4.86% |
Electricity | 522, 5.69%, see rank | 11.66% | 36.68% |
Fuel Oil, Kerosene, etc. | 2,072, 22.57%, see rank | 11.10% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.12% |
Wood | 7, 0.08%, see rank | 0.44% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
Other Fuel | 53, 0.58%, see rank | 0.32% | 0.47% |
No Fuel Used | 25, 0.27%, see rank | 0.32% | 1.00% |
ACS 2008-2012 data
| 07869 Zip Code | New Jersey | U.S. |
Total Housing Units | 9,192, 100% | 3,186,878 | 115,226,802 |
Utility Gas | 6,142, 66.82%, see rank | 73.60% | 49.42% |
Bottled, Tank, or LP Gas | 104, 1.13%, see rank | 1.98% | 5.03% |
Electricity | 580, 6.31%, see rank | 10.96% | 35.51% |
Fuel Oil, Kerosene, etc. | 2,255, 24.53%, see rank | 12.48% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.12% |
Wood | 9, 0.10%, see rank | 0.39% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 34, 0.37%, see rank | 0.28% | 0.43% |
No Fuel Used | 68, 0.74%, see rank | 0.27% | 0.90% |
US Census 2000 data
| 07869 Zip Code | New Jersey | U.S. |
Total Housing Units | 8,572, 100% | 3,064,645 | 105,480,101 |
Utility Gas | 5,033, 58.71%, see rank | 66.83% | 51.22% |
Bottled, Tank, or LP Gas | 141, 1.64%, see rank | 2.40% | 6.52% |
Electricity | 529, 6.17%, see rank | 10.32% | 30.35% |
Fuel Oil, Kerosene, etc. | 2,802, 32.69%, 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 | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 43, 0.50%, see rank | 0.42% | 0.39% |
No Fuel Used | 24, 0.28%, 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.