08019 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 08019 Zip Code | New Jersey | U.S. |
| Total Housing Units | 374, 100% | 3,188,498 | 116,211,092 |
| Utility Gas | 3, 0.80%, see rank | 74.16% | 48.85% |
| Bottled, Tank, or LP Gas | 103, 27.54%, see rank | 1.94% | 4.86% |
| Electricity | 36, 9.63%, see rank | 11.66% | 36.68% |
| Fuel Oil, Kerosene, etc. | 196, 52.41%, see rank | 11.10% | 5.86% |
| Coal or Coke | 9, 2.41%, see rank | 0.03% | 0.12% |
| Wood | 24, 6.42%, see rank | 0.44% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
| Other Fuel | 3, 0.80%, see rank | 0.32% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.32% | 1.00% |
ACS 2008-2012 data
| | 08019 Zip Code | New Jersey | U.S. |
| Total Housing Units | 313, 100% | 3,186,878 | 115,226,802 |
| Utility Gas | 4, 1.28%, see rank | 73.60% | 49.42% |
| Bottled, Tank, or LP Gas | 75, 23.96%, see rank | 1.98% | 5.03% |
| Electricity | 26, 8.31%, see rank | 10.96% | 35.51% |
| Fuel Oil, Kerosene, etc. | 181, 57.83%, see rank | 12.48% | 6.46% |
| Coal or Coke | 14, 4.47%, see rank | 0.03% | 0.12% |
| Wood | 13, 4.15%, see rank | 0.39% | 2.08% |
| Solar Energy | 0, 0.00%, 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
| | 08019 Zip Code | New Jersey | U.S. |
| Total Housing Units | 325, 100% | 3,064,645 | 105,480,101 |
| Utility Gas | 2, 0.62%, see rank | 66.83% | 51.22% |
| Bottled, Tank, or LP Gas | 36, 11.08%, see rank | 2.40% | 6.52% |
| Electricity | 39, 12.00%, see rank | 10.32% | 30.35% |
| Fuel Oil, Kerosene, etc. | 232, 71.38%, see rank | 19.42% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.04% | 0.14% |
| Wood | 10, 3.08%, see rank | 0.23% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
| Other Fuel | 4, 1.23%, see rank | 0.42% | 0.39% |
| No Fuel Used | 2, 0.62%, 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.
