08848 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 08848 Zip Code | New Jersey | U.S. |
Total Housing Units | 3,190, 100% | 3,188,498 | 116,211,092 |
Utility Gas | 312, 9.78%, see rank | 74.16% | 48.85% |
Bottled, Tank, or LP Gas | 522, 16.36%, see rank | 1.94% | 4.86% |
Electricity | 333, 10.44%, see rank | 11.66% | 36.68% |
Fuel Oil, Kerosene, etc. | 1,819, 57.02%, see rank | 11.10% | 5.86% |
Coal or Coke | 28, 0.88%, see rank | 0.03% | 0.12% |
Wood | 161, 5.05%, see rank | 0.44% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
Other Fuel | 8, 0.25%, see rank | 0.32% | 0.47% |
No Fuel Used | 7, 0.22%, see rank | 0.32% | 1.00% |
ACS 2008-2012 data
| 08848 Zip Code | New Jersey | U.S. |
Total Housing Units | 3,299, 100% | 3,186,878 | 115,226,802 |
Utility Gas | 373, 11.31%, see rank | 73.60% | 49.42% |
Bottled, Tank, or LP Gas | 352, 10.67%, see rank | 1.98% | 5.03% |
Electricity | 411, 12.46%, see rank | 10.96% | 35.51% |
Fuel Oil, Kerosene, etc. | 1,952, 59.17%, see rank | 12.48% | 6.46% |
Coal or Coke | 13, 0.39%, see rank | 0.03% | 0.12% |
Wood | 157, 4.76%, see rank | 0.39% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 23, 0.70%, see rank | 0.28% | 0.43% |
No Fuel Used | 18, 0.55%, see rank | 0.27% | 0.90% |
US Census 2000 data
| 08848 Zip Code | New Jersey | U.S. |
Total Housing Units | 3,118, 100% | 3,064,645 | 105,480,101 |
Utility Gas | 222, 7.12%, see rank | 66.83% | 51.22% |
Bottled, Tank, or LP Gas | 382, 12.25%, see rank | 2.40% | 6.52% |
Electricity | 367, 11.77%, see rank | 10.32% | 30.35% |
Fuel Oil, Kerosene, etc. | 2,041, 65.46%, see rank | 19.42% | 8.97% |
Coal or Coke | 21, 0.67%, see rank | 0.04% | 0.14% |
Wood | 79, 2.53%, see rank | 0.23% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 6, 0.19%, see rank | 0.42% | 0.39% |
No Fuel Used | 0, 0.00%, 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.