08558 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 08558 Zip Code | New Jersey | U.S. |
Total Housing Units | 2,336, 100% | 3,572,138 | 132,741,033 |
1 Room | 28, 1.20%, see rank | 2.71% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 2.15% | 2.48% |
3 Rooms | 94, 4.02%, see rank | 10.30% | 9.13% |
4 Rooms | 81, 3.47%, see rank | 15.19% | 16.60% |
5 Rooms | 111, 4.75%, see rank | 16.72% | 20.41% |
6 Rooms | 216, 9.25%, see rank | 16.15% | 18.06% |
7 Rooms | 169, 7.23%, see rank | 12.48% | 12.27% |
8 Rooms | 432, 18.49%, see rank | 10.49% | 8.48% |
9 Rooms or More | 1,205, 51.58%, see rank | 13.81% | 10.60% |
Median Rooms | 9.00, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 08558 Zip Code | New Jersey | U.S. |
Total Housing Units | 2,369, 100% | 3,555,864 | 131,642,457 |
1 Room | 26, 1.10%, see rank | 3.35% | 1.95% |
2 Rooms | 8, 0.34%, see rank | 2.14% | 2.36% |
3 Rooms | 48, 2.03%, see rank | 10.09% | 8.97% |
4 Rooms | 117, 4.94%, see rank | 14.87% | 16.57% |
5 Rooms | 107, 4.52%, see rank | 16.27% | 20.41% |
6 Rooms | 134, 5.66%, see rank | 16.10% | 18.25% |
7 Rooms | 229, 9.67%, see rank | 12.48% | 12.38% |
8 Rooms | 356, 15.03%, see rank | 10.64% | 8.59% |
9 Rooms or More | 1,344, 56.73%, see rank | 14.05% | 10.52% |
Median Rooms | 9.00, see rank | 5.70 | 5.50 |
US Census 2000 data
| 08558 Zip Code | New Jersey | U.S. |
Total Housing Units | 1,787, 100% | 3,310,275 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.88% | 2.20% |
2 Rooms | 0, 0.00%, see rank | 3.85% | 4.81% |
3 Rooms | 26, 1.45%, see rank | 10.72% | 9.84% |
4 Rooms | 36, 2.01%, see rank | 14.45% | 15.97% |
5 Rooms | 109, 6.10%, see rank | 17.03% | 20.89% |
6 Rooms | 163, 9.12%, see rank | 17.02% | 18.45% |
7 Rooms | 140, 7.83%, see rank | 13.08% | 12.06% |
8 Rooms | 444, 24.85%, see rank | 11.06% | 8.06% |
9 Rooms or More | 869, 48.63%, see rank | 10.91% | 7.70% |
Median Rooms | 8.40, 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.