12522 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 12522 Zip Code | New York | U.S. |
Total Housing Units | 2,425, 100% | 8,153,309 | 132,741,033 |
1 Room | 89, 3.67%, see rank | 3.74% | 1.95% |
2 Rooms | 111, 4.58%, see rank | 3.69% | 2.48% |
3 Rooms | 287, 11.84%, see rank | 15.28% | 9.13% |
4 Rooms | 478, 19.71%, see rank | 18.50% | 16.60% |
5 Rooms | 554, 22.85%, see rank | 16.75% | 20.41% |
6 Rooms | 339, 13.98%, see rank | 15.01% | 18.06% |
7 Rooms | 176, 7.26%, see rank | 10.26% | 12.27% |
8 Rooms | 174, 7.18%, see rank | 7.56% | 8.48% |
9 Rooms or More | 217, 8.95%, see rank | 9.20% | 10.60% |
Median Rooms | 4.90, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 12522 Zip Code | New York | U.S. |
Total Housing Units | 2,381, 100% | 8,102,223 | 131,642,457 |
1 Room | 41, 1.72%, see rank | 3.74% | 1.95% |
2 Rooms | 95, 3.99%, see rank | 3.56% | 2.36% |
3 Rooms | 175, 7.35%, see rank | 15.00% | 8.97% |
4 Rooms | 390, 16.38%, see rank | 18.37% | 16.57% |
5 Rooms | 710, 29.82%, see rank | 16.69% | 20.41% |
6 Rooms | 433, 18.19%, see rank | 15.16% | 18.25% |
7 Rooms | 151, 6.34%, see rank | 10.40% | 12.38% |
8 Rooms | 169, 7.10%, see rank | 7.73% | 8.59% |
9 Rooms or More | 217, 9.11%, see rank | 9.36% | 10.52% |
Median Rooms | 5.20, see rank | 5.10 | 5.50 |
US Census 2000 data
| 12522 Zip Code | New York | U.S. |
Total Housing Units | 2,398, 100% | 7,679,307 | 115,904,641 |
1 Room | 42, 1.75%, see rank | 4.20% | 2.20% |
2 Rooms | 80, 3.34%, see rank | 6.83% | 4.81% |
3 Rooms | 174, 7.26%, see rank | 14.77% | 9.84% |
4 Rooms | 437, 18.22%, see rank | 16.86% | 15.97% |
5 Rooms | 588, 24.52%, see rank | 16.00% | 20.89% |
6 Rooms | 550, 22.94%, see rank | 15.17% | 18.45% |
7 Rooms | 256, 10.68%, see rank | 10.56% | 12.06% |
8 Rooms | 149, 6.21%, see rank | 7.67% | 8.06% |
9 Rooms or More | 122, 5.09%, see rank | 7.93% | 7.70% |
Median Rooms | 5.30, 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.