07627 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 07627 Zip Code | New Jersey | U.S. |
Total Housing Units | 1,777, 100% | 3,572,138 | 132,741,033 |
1 Room | 11, 0.62%, see rank | 2.71% | 1.95% |
2 Rooms | 15, 0.84%, see rank | 2.15% | 2.48% |
3 Rooms | 19, 1.07%, see rank | 10.30% | 9.13% |
4 Rooms | 33, 1.86%, see rank | 15.19% | 16.60% |
5 Rooms | 133, 7.48%, see rank | 16.72% | 20.41% |
6 Rooms | 208, 11.71%, see rank | 16.15% | 18.06% |
7 Rooms | 479, 26.96%, see rank | 12.48% | 12.27% |
8 Rooms | 241, 13.56%, see rank | 10.49% | 8.48% |
9 Rooms or More | 638, 35.90%, see rank | 13.81% | 10.60% |
Median Rooms | 7.50, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 07627 Zip Code | New Jersey | U.S. |
Total Housing Units | 1,743, 100% | 3,555,864 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 3.35% | 1.95% |
2 Rooms | 22, 1.26%, see rank | 2.14% | 2.36% |
3 Rooms | 12, 0.69%, see rank | 10.09% | 8.97% |
4 Rooms | 54, 3.10%, see rank | 14.87% | 16.57% |
5 Rooms | 136, 7.80%, see rank | 16.27% | 20.41% |
6 Rooms | 180, 10.33%, see rank | 16.10% | 18.25% |
7 Rooms | 432, 24.78%, see rank | 12.48% | 12.38% |
8 Rooms | 207, 11.88%, see rank | 10.64% | 8.59% |
9 Rooms or More | 700, 40.16%, see rank | 14.05% | 10.52% |
Median Rooms | 7.70, see rank | 5.70 | 5.50 |
US Census 2000 data
| 07627 Zip Code | New Jersey | U.S. |
Total Housing Units | 1,634, 100% | 3,310,275 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.88% | 2.20% |
2 Rooms | 26, 1.59%, see rank | 3.85% | 4.81% |
3 Rooms | 29, 1.77%, see rank | 10.72% | 9.84% |
4 Rooms | 26, 1.59%, see rank | 14.45% | 15.97% |
5 Rooms | 90, 5.51%, see rank | 17.03% | 20.89% |
6 Rooms | 240, 14.69%, see rank | 17.02% | 18.45% |
7 Rooms | 410, 25.09%, see rank | 13.08% | 12.06% |
8 Rooms | 358, 21.91%, see rank | 11.06% | 8.06% |
9 Rooms or More | 455, 27.85%, see rank | 10.91% | 7.70% |
Median Rooms | 7.50, 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.