08049 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 08049 Zip Code | New Jersey | U.S. |
Total Housing Units | 2,303, 100% | 3,572,138 | 132,741,033 |
1 Room | 33, 1.43%, see rank | 2.71% | 1.95% |
2 Rooms | 6, 0.26%, see rank | 2.15% | 2.48% |
3 Rooms | 186, 8.08%, see rank | 10.30% | 9.13% |
4 Rooms | 259, 11.25%, see rank | 15.19% | 16.60% |
5 Rooms | 465, 20.19%, see rank | 16.72% | 20.41% |
6 Rooms | 444, 19.28%, see rank | 16.15% | 18.06% |
7 Rooms | 431, 18.71%, see rank | 12.48% | 12.27% |
8 Rooms | 197, 8.55%, see rank | 10.49% | 8.48% |
9 Rooms or More | 282, 12.24%, see rank | 13.81% | 10.60% |
Median Rooms | 6.00, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 08049 Zip Code | New Jersey | U.S. |
Total Housing Units | 2,378, 100% | 3,555,864 | 131,642,457 |
1 Room | 66, 2.78%, see rank | 3.35% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 2.14% | 2.36% |
3 Rooms | 241, 10.13%, see rank | 10.09% | 8.97% |
4 Rooms | 292, 12.28%, see rank | 14.87% | 16.57% |
5 Rooms | 458, 19.26%, see rank | 16.27% | 20.41% |
6 Rooms | 478, 20.10%, see rank | 16.10% | 18.25% |
7 Rooms | 354, 14.89%, see rank | 12.48% | 12.38% |
8 Rooms | 278, 11.69%, see rank | 10.64% | 8.59% |
9 Rooms or More | 211, 8.87%, see rank | 14.05% | 10.52% |
Median Rooms | 5.80, see rank | 5.70 | 5.50 |
US Census 2000 data
| 08049 Zip Code | New Jersey | U.S. |
Total Housing Units | 2,174, 100% | 3,310,275 | 115,904,641 |
1 Room | 18, 0.83%, see rank | 1.88% | 2.20% |
2 Rooms | 50, 2.30%, see rank | 3.85% | 4.81% |
3 Rooms | 178, 8.19%, see rank | 10.72% | 9.84% |
4 Rooms | 166, 7.64%, see rank | 14.45% | 15.97% |
5 Rooms | 546, 25.11%, see rank | 17.03% | 20.89% |
6 Rooms | 561, 25.80%, see rank | 17.02% | 18.45% |
7 Rooms | 285, 13.11%, see rank | 13.08% | 12.06% |
8 Rooms | 238, 10.95%, see rank | 11.06% | 8.06% |
9 Rooms or More | 132, 6.07%, see rank | 10.91% | 7.70% |
Median Rooms | 5.70, 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.