07723 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 07723 Zip Code | New Jersey | U.S. |
Total Housing Units | 1,179, 100% | 3,572,138 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 2.71% | 1.95% |
2 Rooms | 30, 2.54%, see rank | 2.15% | 2.48% |
3 Rooms | 31, 2.63%, see rank | 10.30% | 9.13% |
4 Rooms | 109, 9.25%, see rank | 15.19% | 16.60% |
5 Rooms | 95, 8.06%, see rank | 16.72% | 20.41% |
6 Rooms | 163, 13.83%, see rank | 16.15% | 18.06% |
7 Rooms | 151, 12.81%, see rank | 12.48% | 12.27% |
8 Rooms | 180, 15.27%, see rank | 10.49% | 8.48% |
9 Rooms or More | 420, 35.62%, see rank | 13.81% | 10.60% |
Median Rooms | 7.60, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 07723 Zip Code | New Jersey | U.S. |
Total Housing Units | 1,172, 100% | 3,555,864 | 131,642,457 |
1 Room | 10, 0.85%, see rank | 3.35% | 1.95% |
2 Rooms | 26, 2.22%, see rank | 2.14% | 2.36% |
3 Rooms | 66, 5.63%, see rank | 10.09% | 8.97% |
4 Rooms | 84, 7.17%, see rank | 14.87% | 16.57% |
5 Rooms | 73, 6.23%, see rank | 16.27% | 20.41% |
6 Rooms | 188, 16.04%, see rank | 16.10% | 18.25% |
7 Rooms | 152, 12.97%, see rank | 12.48% | 12.38% |
8 Rooms | 181, 15.44%, see rank | 10.64% | 8.59% |
9 Rooms or More | 392, 33.45%, see rank | 14.05% | 10.52% |
Median Rooms | 7.40, see rank | 5.70 | 5.50 |
US Census 2000 data
| 07723 Zip Code | New Jersey | U.S. |
Total Housing Units | 1,248, 100% | 3,310,275 | 115,904,641 |
1 Room | 6, 0.48%, see rank | 1.88% | 2.20% |
2 Rooms | 23, 1.84%, see rank | 3.85% | 4.81% |
3 Rooms | 40, 3.21%, see rank | 10.72% | 9.84% |
4 Rooms | 56, 4.49%, see rank | 14.45% | 15.97% |
5 Rooms | 75, 6.01%, see rank | 17.03% | 20.89% |
6 Rooms | 159, 12.74%, see rank | 17.02% | 18.45% |
7 Rooms | 220, 17.63%, see rank | 13.08% | 12.06% |
8 Rooms | 211, 16.91%, see rank | 11.06% | 8.06% |
9 Rooms or More | 458, 36.70%, see rank | 10.91% | 7.70% |
Median Rooms | 7.70, 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.