07072 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 07072 Zip Code | New Jersey | U.S. |
Total Housing Units | 2,334, 100% | 3,572,138 | 132,741,033 |
1 Room | 17, 0.73%, see rank | 2.71% | 1.95% |
2 Rooms | 61, 2.61%, see rank | 2.15% | 2.48% |
3 Rooms | 76, 3.26%, see rank | 10.30% | 9.13% |
4 Rooms | 358, 15.34%, see rank | 15.19% | 16.60% |
5 Rooms | 543, 23.26%, see rank | 16.72% | 20.41% |
6 Rooms | 727, 31.15%, see rank | 16.15% | 18.06% |
7 Rooms | 270, 11.57%, see rank | 12.48% | 12.27% |
8 Rooms | 116, 4.97%, see rank | 10.49% | 8.48% |
9 Rooms or More | 166, 7.11%, see rank | 13.81% | 10.60% |
Median Rooms | 5.70, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 07072 Zip Code | New Jersey | U.S. |
Total Housing Units | 2,243, 100% | 3,555,864 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 3.35% | 1.95% |
2 Rooms | 47, 2.10%, see rank | 2.14% | 2.36% |
3 Rooms | 54, 2.41%, see rank | 10.09% | 8.97% |
4 Rooms | 252, 11.23%, see rank | 14.87% | 16.57% |
5 Rooms | 503, 22.43%, see rank | 16.27% | 20.41% |
6 Rooms | 716, 31.92%, see rank | 16.10% | 18.25% |
7 Rooms | 323, 14.40%, see rank | 12.48% | 12.38% |
8 Rooms | 142, 6.33%, see rank | 10.64% | 8.59% |
9 Rooms or More | 206, 9.18%, see rank | 14.05% | 10.52% |
Median Rooms | 5.90, see rank | 5.70 | 5.50 |
US Census 2000 data
| 07072 Zip Code | New Jersey | U.S. |
Total Housing Units | 2,473, 100% | 3,310,275 | 115,904,641 |
1 Room | 27, 1.09%, see rank | 1.88% | 2.20% |
2 Rooms | 61, 2.47%, see rank | 3.85% | 4.81% |
3 Rooms | 282, 11.40%, see rank | 10.72% | 9.84% |
4 Rooms | 401, 16.22%, see rank | 14.45% | 15.97% |
5 Rooms | 527, 21.31%, see rank | 17.03% | 20.89% |
6 Rooms | 527, 21.31%, see rank | 17.02% | 18.45% |
7 Rooms | 275, 11.12%, see rank | 13.08% | 12.06% |
8 Rooms | 149, 6.03%, see rank | 11.06% | 8.06% |
9 Rooms or More | 224, 9.06%, see rank | 10.91% | 7.70% |
Median Rooms | 5.40, see rank | 5.60 | 5.30 |
* 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.