10533 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 10533 Zip Code | New York | U.S. |
Total Housing Units | 2,921, 100% | 8,153,309 | 132,741,033 |
1 Room | 14, 0.48%, see rank | 3.74% | 1.95% |
2 Rooms | 35, 1.20%, see rank | 3.69% | 2.48% |
3 Rooms | 285, 9.76%, see rank | 15.28% | 9.13% |
4 Rooms | 485, 16.60%, see rank | 18.50% | 16.60% |
5 Rooms | 343, 11.74%, see rank | 16.75% | 20.41% |
6 Rooms | 418, 14.31%, see rank | 15.01% | 18.06% |
7 Rooms | 355, 12.15%, see rank | 10.26% | 12.27% |
8 Rooms | 322, 11.02%, see rank | 7.56% | 8.48% |
9 Rooms or More | 664, 22.73%, see rank | 9.20% | 10.60% |
Median Rooms | 6.20, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 10533 Zip Code | New York | U.S. |
Total Housing Units | 2,965, 100% | 8,102,223 | 131,642,457 |
1 Room | 54, 1.82%, see rank | 3.74% | 1.95% |
2 Rooms | 14, 0.47%, see rank | 3.56% | 2.36% |
3 Rooms | 258, 8.70%, see rank | 15.00% | 8.97% |
4 Rooms | 475, 16.02%, see rank | 18.37% | 16.57% |
5 Rooms | 374, 12.61%, see rank | 16.69% | 20.41% |
6 Rooms | 375, 12.65%, see rank | 15.16% | 18.25% |
7 Rooms | 307, 10.35%, see rank | 10.40% | 12.38% |
8 Rooms | 467, 15.75%, see rank | 7.73% | 8.59% |
9 Rooms or More | 641, 21.62%, see rank | 9.36% | 10.52% |
Median Rooms | 6.30, see rank | 5.10 | 5.50 |
US Census 2000 data
| 10533 Zip Code | New York | U.S. |
Total Housing Units | 2,850, 100% | 7,679,307 | 115,904,641 |
1 Room | 18, 0.63%, see rank | 4.20% | 2.20% |
2 Rooms | 50, 1.75%, see rank | 6.83% | 4.81% |
3 Rooms | 353, 12.39%, see rank | 14.77% | 9.84% |
4 Rooms | 256, 8.98%, see rank | 16.86% | 15.97% |
5 Rooms | 490, 17.19%, see rank | 16.00% | 20.89% |
6 Rooms | 485, 17.02%, see rank | 15.17% | 18.45% |
7 Rooms | 301, 10.56%, see rank | 10.56% | 12.06% |
8 Rooms | 356, 12.49%, see rank | 7.67% | 8.06% |
9 Rooms or More | 541, 18.98%, see rank | 7.93% | 7.70% |
Median Rooms | 6.00, 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.