10918 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 10918 Zip Code | New York | U.S. |
Total Housing Units | 4,039, 100% | 8,153,309 | 132,741,033 |
1 Room | 38, 0.94%, see rank | 3.74% | 1.95% |
2 Rooms | 44, 1.09%, see rank | 3.69% | 2.48% |
3 Rooms | 243, 6.02%, see rank | 15.28% | 9.13% |
4 Rooms | 482, 11.93%, see rank | 18.50% | 16.60% |
5 Rooms | 462, 11.44%, see rank | 16.75% | 20.41% |
6 Rooms | 483, 11.96%, see rank | 15.01% | 18.06% |
7 Rooms | 736, 18.22%, see rank | 10.26% | 12.27% |
8 Rooms | 960, 23.77%, see rank | 7.56% | 8.48% |
9 Rooms or More | 591, 14.63%, see rank | 9.20% | 10.60% |
Median Rooms | 6.90, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 10918 Zip Code | New York | U.S. |
Total Housing Units | 4,414, 100% | 8,102,223 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 3.74% | 1.95% |
2 Rooms | 14, 0.32%, see rank | 3.56% | 2.36% |
3 Rooms | 367, 8.31%, see rank | 15.00% | 8.97% |
4 Rooms | 373, 8.45%, see rank | 18.37% | 16.57% |
5 Rooms | 612, 13.86%, see rank | 16.69% | 20.41% |
6 Rooms | 513, 11.62%, see rank | 15.16% | 18.25% |
7 Rooms | 999, 22.63%, see rank | 10.40% | 12.38% |
8 Rooms | 819, 18.55%, see rank | 7.73% | 8.59% |
9 Rooms or More | 717, 16.24%, see rank | 9.36% | 10.52% |
Median Rooms | 6.80, see rank | 5.10 | 5.50 |
US Census 2000 data
| 10918 Zip Code | New York | U.S. |
Total Housing Units | 3,877, 100% | 7,679,307 | 115,904,641 |
1 Room | 6, 0.15%, see rank | 4.20% | 2.20% |
2 Rooms | 54, 1.39%, see rank | 6.83% | 4.81% |
3 Rooms | 201, 5.18%, see rank | 14.77% | 9.84% |
4 Rooms | 412, 10.63%, see rank | 16.86% | 15.97% |
5 Rooms | 684, 17.64%, see rank | 16.00% | 20.89% |
6 Rooms | 430, 11.09%, see rank | 15.17% | 18.45% |
7 Rooms | 709, 18.29%, see rank | 10.56% | 12.06% |
8 Rooms | 645, 16.64%, see rank | 7.67% | 8.06% |
9 Rooms or More | 736, 18.98%, see rank | 7.93% | 7.70% |
Median Rooms | 6.70, see rank | 5.00 | 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.