10523 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 10523 Zip Code | New York | U.S. |
Total Housing Units | 2,950, 100% | 8,153,309 | 132,741,033 |
1 Room | 78, 2.64%, see rank | 3.74% | 1.95% |
2 Rooms | 76, 2.58%, see rank | 3.69% | 2.48% |
3 Rooms | 389, 13.19%, see rank | 15.28% | 9.13% |
4 Rooms | 648, 21.97%, see rank | 18.50% | 16.60% |
5 Rooms | 409, 13.86%, see rank | 16.75% | 20.41% |
6 Rooms | 458, 15.53%, see rank | 15.01% | 18.06% |
7 Rooms | 437, 14.81%, see rank | 10.26% | 12.27% |
8 Rooms | 231, 7.83%, see rank | 7.56% | 8.48% |
9 Rooms or More | 224, 7.59%, see rank | 9.20% | 10.60% |
Median Rooms | 5.20, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 10523 Zip Code | New York | U.S. |
Total Housing Units | 2,887, 100% | 8,102,223 | 131,642,457 |
1 Room | 84, 2.91%, see rank | 3.74% | 1.95% |
2 Rooms | 93, 3.22%, see rank | 3.56% | 2.36% |
3 Rooms | 460, 15.93%, see rank | 15.00% | 8.97% |
4 Rooms | 401, 13.89%, see rank | 18.37% | 16.57% |
5 Rooms | 514, 17.80%, see rank | 16.69% | 20.41% |
6 Rooms | 477, 16.52%, see rank | 15.16% | 18.25% |
7 Rooms | 416, 14.41%, see rank | 10.40% | 12.38% |
8 Rooms | 164, 5.68%, see rank | 7.73% | 8.59% |
9 Rooms or More | 278, 9.63%, see rank | 9.36% | 10.52% |
Median Rooms | 5.30, see rank | 5.10 | 5.50 |
US Census 2000 data
| 10523 Zip Code | New York | U.S. |
Total Housing Units | 2,670, 100% | 7,679,307 | 115,904,641 |
1 Room | 39, 1.46%, see rank | 4.20% | 2.20% |
2 Rooms | 139, 5.21%, see rank | 6.83% | 4.81% |
3 Rooms | 410, 15.36%, see rank | 14.77% | 9.84% |
4 Rooms | 531, 19.89%, see rank | 16.86% | 15.97% |
5 Rooms | 367, 13.75%, see rank | 16.00% | 20.89% |
6 Rooms | 371, 13.90%, see rank | 15.17% | 18.45% |
7 Rooms | 367, 13.75%, see rank | 10.56% | 12.06% |
8 Rooms | 231, 8.65%, see rank | 7.67% | 8.06% |
9 Rooms or More | 215, 8.05%, see rank | 7.93% | 7.70% |
Median Rooms | 5.10, 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.