10536 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 10536 Zip Code | New York | U.S. |
Total Housing Units | 3,741, 100% | 8,153,309 | 132,741,033 |
1 Room | 16, 0.43%, see rank | 3.74% | 1.95% |
2 Rooms | 30, 0.80%, see rank | 3.69% | 2.48% |
3 Rooms | 61, 1.63%, see rank | 15.28% | 9.13% |
4 Rooms | 137, 3.66%, see rank | 18.50% | 16.60% |
5 Rooms | 206, 5.51%, see rank | 16.75% | 20.41% |
6 Rooms | 495, 13.23%, see rank | 15.01% | 18.06% |
7 Rooms | 626, 16.73%, see rank | 10.26% | 12.27% |
8 Rooms | 615, 16.44%, see rank | 7.56% | 8.48% |
9 Rooms or More | 1,555, 41.57%, see rank | 9.20% | 10.60% |
Median Rooms | 8.00, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 10536 Zip Code | New York | U.S. |
Total Housing Units | 3,679, 100% | 8,102,223 | 131,642,457 |
1 Room | 75, 2.04%, see rank | 3.74% | 1.95% |
2 Rooms | 20, 0.54%, see rank | 3.56% | 2.36% |
3 Rooms | 69, 1.88%, see rank | 15.00% | 8.97% |
4 Rooms | 84, 2.28%, see rank | 18.37% | 16.57% |
5 Rooms | 229, 6.22%, see rank | 16.69% | 20.41% |
6 Rooms | 537, 14.60%, see rank | 15.16% | 18.25% |
7 Rooms | 528, 14.35%, see rank | 10.40% | 12.38% |
8 Rooms | 653, 17.75%, see rank | 7.73% | 8.59% |
9 Rooms or More | 1,484, 40.34%, see rank | 9.36% | 10.52% |
Median Rooms | 8.00, see rank | 5.10 | 5.50 |
US Census 2000 data
| 10536 Zip Code | New York | U.S. |
Total Housing Units | 3,518, 100% | 7,679,307 | 115,904,641 |
1 Room | 11, 0.31%, see rank | 4.20% | 2.20% |
2 Rooms | 6, 0.17%, see rank | 6.83% | 4.81% |
3 Rooms | 98, 2.79%, see rank | 14.77% | 9.84% |
4 Rooms | 142, 4.04%, see rank | 16.86% | 15.97% |
5 Rooms | 262, 7.45%, see rank | 16.00% | 20.89% |
6 Rooms | 390, 11.09%, see rank | 15.17% | 18.45% |
7 Rooms | 616, 17.51%, see rank | 10.56% | 12.06% |
8 Rooms | 659, 18.73%, see rank | 7.67% | 8.06% |
9 Rooms or More | 1,334, 37.92%, see rank | 7.93% | 7.70% |
Median Rooms | 7.90, 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.