08022 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 08022 Zip Code | New Jersey | U.S. |
Total Housing Units | 3,608, 100% | 3,572,138 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 2.71% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 2.15% | 2.48% |
3 Rooms | 28, 0.78%, see rank | 10.30% | 9.13% |
4 Rooms | 449, 12.44%, see rank | 15.19% | 16.60% |
5 Rooms | 624, 17.29%, see rank | 16.72% | 20.41% |
6 Rooms | 508, 14.08%, see rank | 16.15% | 18.06% |
7 Rooms | 374, 10.37%, see rank | 12.48% | 12.27% |
8 Rooms | 601, 16.66%, see rank | 10.49% | 8.48% |
9 Rooms or More | 1,024, 28.38%, see rank | 13.81% | 10.60% |
Median Rooms | 7.00, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 08022 Zip Code | New Jersey | U.S. |
Total Housing Units | 3,294, 100% | 3,555,864 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 3.35% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 2.14% | 2.36% |
3 Rooms | 18, 0.55%, see rank | 10.09% | 8.97% |
4 Rooms | 383, 11.63%, see rank | 14.87% | 16.57% |
5 Rooms | 588, 17.85%, see rank | 16.27% | 20.41% |
6 Rooms | 469, 14.24%, see rank | 16.10% | 18.25% |
7 Rooms | 358, 10.87%, see rank | 12.48% | 12.38% |
8 Rooms | 530, 16.09%, see rank | 10.64% | 8.59% |
9 Rooms or More | 948, 28.78%, see rank | 14.05% | 10.52% |
Median Rooms | 7.00, see rank | 5.70 | 5.50 |
US Census 2000 data
| 08022 Zip Code | New Jersey | U.S. |
Total Housing Units | 2,318, 100% | 3,310,275 | 115,904,641 |
1 Room | 6, 0.26%, see rank | 1.88% | 2.20% |
2 Rooms | 0, 0.00%, see rank | 3.85% | 4.81% |
3 Rooms | 29, 1.25%, see rank | 10.72% | 9.84% |
4 Rooms | 233, 10.05%, see rank | 14.45% | 15.97% |
5 Rooms | 657, 28.34%, see rank | 17.03% | 20.89% |
6 Rooms | 461, 19.89%, see rank | 17.02% | 18.45% |
7 Rooms | 205, 8.84%, see rank | 13.08% | 12.06% |
8 Rooms | 356, 15.36%, see rank | 11.06% | 8.06% |
9 Rooms or More | 371, 16.01%, see rank | 10.91% | 7.70% |
Median Rooms | 6.00, 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.