07701 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 07701 Zip Code | New Jersey | U.S. |
Total Housing Units | 9,791, 100% | 3,188,498 | 116,211,092 |
Utility Gas | 6,760, 69.04%, see rank | 74.16% | 48.85% |
Bottled, Tank, or LP Gas | 113, 1.15%, see rank | 1.94% | 4.86% |
Electricity | 2,077, 21.21%, see rank | 11.66% | 36.68% |
Fuel Oil, Kerosene, etc. | 756, 7.72%, see rank | 11.10% | 5.86% |
Coal or Coke | 15, 0.15%, see rank | 0.03% | 0.12% |
Wood | 27, 0.28%, see rank | 0.44% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
Other Fuel | 34, 0.35%, see rank | 0.32% | 0.47% |
No Fuel Used | 9, 0.09%, see rank | 0.32% | 1.00% |
ACS 2008-2012 data
| 07701 Zip Code | New Jersey | U.S. |
Total Housing Units | 9,995, 100% | 3,186,878 | 115,226,802 |
Utility Gas | 6,939, 69.42%, see rank | 73.60% | 49.42% |
Bottled, Tank, or LP Gas | 101, 1.01%, see rank | 1.98% | 5.03% |
Electricity | 1,941, 19.42%, see rank | 10.96% | 35.51% |
Fuel Oil, Kerosene, etc. | 916, 9.16%, see rank | 12.48% | 6.46% |
Coal or Coke | 16, 0.16%, see rank | 0.03% | 0.12% |
Wood | 0, 0.00%, see rank | 0.39% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 52, 0.52%, see rank | 0.28% | 0.43% |
No Fuel Used | 30, 0.30%, see rank | 0.27% | 0.90% |
US Census 2000 data
| 07701 Zip Code | New Jersey | U.S. |
Total Housing Units | 9,636, 100% | 3,064,645 | 105,480,101 |
Utility Gas | 6,325, 65.64%, see rank | 66.83% | 51.22% |
Bottled, Tank, or LP Gas | 69, 0.72%, see rank | 2.40% | 6.52% |
Electricity | 1,569, 16.28%, see rank | 10.32% | 30.35% |
Fuel Oil, Kerosene, etc. | 1,590, 16.50%, see rank | 19.42% | 8.97% |
Coal or Coke | 6, 0.06%, 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 | 49, 0.51%, see rank | 0.42% | 0.39% |
No Fuel Used | 28, 0.29%, 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.