08867 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 08867 Zip Code | New Jersey | U.S. |
Total Housing Units | 1,982, 100% | 3,572,138 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 2.71% | 1.95% |
2 Rooms | 23, 1.16%, see rank | 2.15% | 2.48% |
3 Rooms | 0, 0.00%, see rank | 10.30% | 9.13% |
4 Rooms | 90, 4.54%, see rank | 15.19% | 16.60% |
5 Rooms | 169, 8.53%, see rank | 16.72% | 20.41% |
6 Rooms | 167, 8.43%, see rank | 16.15% | 18.06% |
7 Rooms | 315, 15.89%, see rank | 12.48% | 12.27% |
8 Rooms | 302, 15.24%, see rank | 10.49% | 8.48% |
9 Rooms or More | 916, 46.22%, see rank | 13.81% | 10.60% |
Median Rooms | 8.30, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 08867 Zip Code | New Jersey | U.S. |
Total Housing Units | 1,844, 100% | 3,555,864 | 131,642,457 |
1 Room | 6, 0.33%, see rank | 3.35% | 1.95% |
2 Rooms | 30, 1.63%, see rank | 2.14% | 2.36% |
3 Rooms | 28, 1.52%, see rank | 10.09% | 8.97% |
4 Rooms | 115, 6.24%, see rank | 14.87% | 16.57% |
5 Rooms | 167, 9.06%, see rank | 16.27% | 20.41% |
6 Rooms | 268, 14.53%, see rank | 16.10% | 18.25% |
7 Rooms | 171, 9.27%, see rank | 12.48% | 12.38% |
8 Rooms | 259, 14.05%, see rank | 10.64% | 8.59% |
9 Rooms or More | 800, 43.38%, see rank | 14.05% | 10.52% |
Median Rooms | 8.00, see rank | 5.70 | 5.50 |
US Census 2000 data
| 08867 Zip Code | New Jersey | U.S. |
Total Housing Units | 1,557, 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 | 11, 0.71%, see rank | 10.72% | 9.84% |
4 Rooms | 68, 4.37%, see rank | 14.45% | 15.97% |
5 Rooms | 158, 10.15%, see rank | 17.03% | 20.89% |
6 Rooms | 225, 14.45%, see rank | 17.02% | 18.45% |
7 Rooms | 267, 17.15%, see rank | 13.08% | 12.06% |
8 Rooms | 334, 21.45%, see rank | 11.06% | 8.06% |
9 Rooms or More | 494, 31.73%, see rank | 10.91% | 7.70% |
Median Rooms | 7.60, 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.