10472 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 10472 Zip Code | New York | U.S. |
Total Housing Units | 23,355, 100% | 8,153,309 | 132,741,033 |
1 Room | 1,083, 4.64%, see rank | 3.74% | 1.95% |
2 Rooms | 766, 3.28%, see rank | 3.69% | 2.48% |
3 Rooms | 6,207, 26.58%, see rank | 15.28% | 9.13% |
4 Rooms | 7,411, 31.73%, see rank | 18.50% | 16.60% |
5 Rooms | 5,195, 22.24%, see rank | 16.75% | 20.41% |
6 Rooms | 1,204, 5.16%, see rank | 15.01% | 18.06% |
7 Rooms | 665, 2.85%, see rank | 10.26% | 12.27% |
8 Rooms | 387, 1.66%, see rank | 7.56% | 8.48% |
9 Rooms or More | 437, 1.87%, see rank | 9.20% | 10.60% |
Median Rooms | 4.00, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 10472 Zip Code | New York | U.S. |
Total Housing Units | 23,369, 100% | 8,102,223 | 131,642,457 |
1 Room | 939, 4.02%, see rank | 3.74% | 1.95% |
2 Rooms | 792, 3.39%, see rank | 3.56% | 2.36% |
3 Rooms | 7,204, 30.83%, see rank | 15.00% | 8.97% |
4 Rooms | 6,687, 28.61%, see rank | 18.37% | 16.57% |
5 Rooms | 4,721, 20.20%, see rank | 16.69% | 20.41% |
6 Rooms | 1,473, 6.30%, see rank | 15.16% | 18.25% |
7 Rooms | 643, 2.75%, see rank | 10.40% | 12.38% |
8 Rooms | 371, 1.59%, see rank | 7.73% | 8.59% |
9 Rooms or More | 539, 2.31%, see rank | 9.36% | 10.52% |
Median Rooms | 3.90, see rank | 5.10 | 5.50 |
US Census 2000 data
| 10472 Zip Code | New York | U.S. |
Total Housing Units | 23,013, 100% | 7,679,307 | 115,904,641 |
1 Room | 1,649, 7.17%, see rank | 4.20% | 2.20% |
2 Rooms | 2,296, 9.98%, see rank | 6.83% | 4.81% |
3 Rooms | 6,537, 28.41%, see rank | 14.77% | 9.84% |
4 Rooms | 6,106, 26.53%, see rank | 16.86% | 15.97% |
5 Rooms | 3,509, 15.25%, see rank | 16.00% | 20.89% |
6 Rooms | 1,183, 5.14%, see rank | 15.17% | 18.45% |
7 Rooms | 495, 2.15%, see rank | 10.56% | 12.06% |
8 Rooms | 314, 1.36%, see rank | 7.67% | 8.06% |
9 Rooms or More | 924, 4.02%, see rank | 7.93% | 7.70% |
Median Rooms | 3.70, 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.