08048 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 08048 Zip Code | New Jersey | U.S. |
Total Housing Units | 4,670, 100% | 3,572,138 | 132,741,033 |
1 Room | 35, 0.75%, see rank | 2.71% | 1.95% |
2 Rooms | 19, 0.41%, see rank | 2.15% | 2.48% |
3 Rooms | 459, 9.83%, see rank | 10.30% | 9.13% |
4 Rooms | 388, 8.31%, see rank | 15.19% | 16.60% |
5 Rooms | 600, 12.85%, see rank | 16.72% | 20.41% |
6 Rooms | 900, 19.27%, see rank | 16.15% | 18.06% |
7 Rooms | 579, 12.40%, see rank | 12.48% | 12.27% |
8 Rooms | 585, 12.53%, see rank | 10.49% | 8.48% |
9 Rooms or More | 1,105, 23.66%, see rank | 13.81% | 10.60% |
Median Rooms | 6.40, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 08048 Zip Code | New Jersey | U.S. |
Total Housing Units | 4,603, 100% | 3,555,864 | 131,642,457 |
1 Room | 28, 0.61%, see rank | 3.35% | 1.95% |
2 Rooms | 71, 1.54%, see rank | 2.14% | 2.36% |
3 Rooms | 526, 11.43%, see rank | 10.09% | 8.97% |
4 Rooms | 440, 9.56%, see rank | 14.87% | 16.57% |
5 Rooms | 535, 11.62%, see rank | 16.27% | 20.41% |
6 Rooms | 721, 15.66%, see rank | 16.10% | 18.25% |
7 Rooms | 571, 12.40%, see rank | 12.48% | 12.38% |
8 Rooms | 542, 11.77%, see rank | 10.64% | 8.59% |
9 Rooms or More | 1,169, 25.40%, see rank | 14.05% | 10.52% |
Median Rooms | 6.50, see rank | 5.70 | 5.50 |
US Census 2000 data
| 08048 Zip Code | New Jersey | U.S. |
Total Housing Units | 329, 100% | 3,310,275 | 115,904,641 |
1 Room | 6, 1.82%, see rank | 1.88% | 2.20% |
2 Rooms | 22, 6.69%, see rank | 3.85% | 4.81% |
3 Rooms | 121, 36.78%, see rank | 10.72% | 9.84% |
4 Rooms | 36, 10.94%, see rank | 14.45% | 15.97% |
5 Rooms | 31, 9.42%, see rank | 17.03% | 20.89% |
6 Rooms | 31, 9.42%, see rank | 17.02% | 18.45% |
7 Rooms | 30, 9.12%, see rank | 13.08% | 12.06% |
8 Rooms | 36, 10.94%, see rank | 11.06% | 8.06% |
9 Rooms or More | 16, 4.86%, see rank | 10.91% | 7.70% |
Median Rooms | 3.90, 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.