07052 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 07052 Zip Code | New Jersey | U.S. |
Total Housing Units | 16,202, 100% | 3,188,498 | 116,211,092 |
Utility Gas | 13,557, 83.67%, see rank | 74.16% | 48.85% |
Bottled, Tank, or LP Gas | 139, 0.86%, see rank | 1.94% | 4.86% |
Electricity | 1,243, 7.67%, see rank | 11.66% | 36.68% |
Fuel Oil, Kerosene, etc. | 1,105, 6.82%, see rank | 11.10% | 5.86% |
Coal or Coke | 15, 0.09%, see rank | 0.03% | 0.12% |
Wood | 11, 0.07%, see rank | 0.44% | 2.12% |
Solar Energy | 29, 0.18%, see rank | 0.03% | 0.05% |
Other Fuel | 42, 0.26%, see rank | 0.32% | 0.47% |
No Fuel Used | 61, 0.38%, see rank | 0.32% | 1.00% |
ACS 2008-2012 data
| 07052 Zip Code | New Jersey | U.S. |
Total Housing Units | 15,879, 100% | 3,186,878 | 115,226,802 |
Utility Gas | 13,084, 82.40%, see rank | 73.60% | 49.42% |
Bottled, Tank, or LP Gas | 184, 1.16%, see rank | 1.98% | 5.03% |
Electricity | 1,378, 8.68%, see rank | 10.96% | 35.51% |
Fuel Oil, Kerosene, etc. | 1,152, 7.25%, see rank | 12.48% | 6.46% |
Coal or Coke | 12, 0.08%, see rank | 0.03% | 0.12% |
Wood | 11, 0.07%, see rank | 0.39% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 7, 0.04%, see rank | 0.28% | 0.43% |
No Fuel Used | 51, 0.32%, see rank | 0.27% | 0.90% |
US Census 2000 data
| 07052 Zip Code | New Jersey | U.S. |
Total Housing Units | 16,466, 100% | 3,064,645 | 105,480,101 |
Utility Gas | 12,596, 76.50%, see rank | 66.83% | 51.22% |
Bottled, Tank, or LP Gas | 330, 2.00%, see rank | 2.40% | 6.52% |
Electricity | 1,232, 7.48%, see rank | 10.32% | 30.35% |
Fuel Oil, Kerosene, etc. | 2,222, 13.49%, see rank | 19.42% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.04% | 0.14% |
Wood | 5, 0.03%, see rank | 0.23% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 81, 0.49%, 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.