08876 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 08876 Zip Code | New Jersey | U.S. |
Total Housing Units | 8,261, 100% | 3,188,498 | 116,211,092 |
Utility Gas | 6,650, 80.50%, see rank | 74.16% | 48.85% |
Bottled, Tank, or LP Gas | 99, 1.20%, see rank | 1.94% | 4.86% |
Electricity | 694, 8.40%, see rank | 11.66% | 36.68% |
Fuel Oil, Kerosene, etc. | 748, 9.05%, see rank | 11.10% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.12% |
Wood | 14, 0.17%, see rank | 0.44% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
Other Fuel | 26, 0.31%, see rank | 0.32% | 0.47% |
No Fuel Used | 30, 0.36%, see rank | 0.32% | 1.00% |
ACS 2008-2012 data
| 08876 Zip Code | New Jersey | U.S. |
Total Housing Units | 8,197, 100% | 3,186,878 | 115,226,802 |
Utility Gas | 6,530, 79.66%, see rank | 73.60% | 49.42% |
Bottled, Tank, or LP Gas | 69, 0.84%, see rank | 1.98% | 5.03% |
Electricity | 577, 7.04%, see rank | 10.96% | 35.51% |
Fuel Oil, Kerosene, etc. | 892, 10.88%, see rank | 12.48% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.12% |
Wood | 14, 0.17%, see rank | 0.39% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 56, 0.68%, see rank | 0.28% | 0.43% |
No Fuel Used | 59, 0.72%, see rank | 0.27% | 0.90% |
US Census 2000 data
| 08876 Zip Code | New Jersey | U.S. |
Total Housing Units | 15,876, 100% | 3,064,645 | 105,480,101 |
Utility Gas | 11,524, 72.59%, see rank | 66.83% | 51.22% |
Bottled, Tank, or LP Gas | 153, 0.96%, see rank | 2.40% | 6.52% |
Electricity | 2,274, 14.32%, see rank | 10.32% | 30.35% |
Fuel Oil, Kerosene, etc. | 1,828, 11.51%, see rank | 19.42% | 8.97% |
Coal or Coke | 17, 0.11%, see rank | 0.04% | 0.14% |
Wood | 11, 0.07%, see rank | 0.23% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 38, 0.24%, see rank | 0.42% | 0.39% |
No Fuel Used | 31, 0.20%, 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.