10803 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 10803 Zip Code | New York | U.S. |
Total Housing Units | 4,222, 100% | 8,153,309 | 132,741,033 |
1 Room | 26, 0.62%, see rank | 3.74% | 1.95% |
2 Rooms | 31, 0.73%, see rank | 3.69% | 2.48% |
3 Rooms | 438, 10.37%, see rank | 15.28% | 9.13% |
4 Rooms | 316, 7.48%, see rank | 18.50% | 16.60% |
5 Rooms | 434, 10.28%, see rank | 16.75% | 20.41% |
6 Rooms | 618, 14.64%, see rank | 15.01% | 18.06% |
7 Rooms | 553, 13.10%, see rank | 10.26% | 12.27% |
8 Rooms | 429, 10.16%, see rank | 7.56% | 8.48% |
9 Rooms or More | 1,377, 32.61%, see rank | 9.20% | 10.60% |
Median Rooms | 6.90, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 10803 Zip Code | New York | U.S. |
Total Housing Units | 4,335, 100% | 8,102,223 | 131,642,457 |
1 Room | 18, 0.42%, see rank | 3.74% | 1.95% |
2 Rooms | 62, 1.43%, see rank | 3.56% | 2.36% |
3 Rooms | 456, 10.52%, see rank | 15.00% | 8.97% |
4 Rooms | 452, 10.43%, see rank | 18.37% | 16.57% |
5 Rooms | 471, 10.87%, see rank | 16.69% | 20.41% |
6 Rooms | 624, 14.39%, see rank | 15.16% | 18.25% |
7 Rooms | 525, 12.11%, see rank | 10.40% | 12.38% |
8 Rooms | 355, 8.19%, see rank | 7.73% | 8.59% |
9 Rooms or More | 1,372, 31.65%, see rank | 9.36% | 10.52% |
Median Rooms | 6.70, see rank | 5.10 | 5.50 |
US Census 2000 data
| 10803 Zip Code | New York | U.S. |
Total Housing Units | 4,301, 100% | 7,679,307 | 115,904,641 |
1 Room | 34, 0.79%, see rank | 4.20% | 2.20% |
2 Rooms | 89, 2.07%, see rank | 6.83% | 4.81% |
3 Rooms | 359, 8.35%, see rank | 14.77% | 9.84% |
4 Rooms | 368, 8.56%, see rank | 16.86% | 15.97% |
5 Rooms | 442, 10.28%, see rank | 16.00% | 20.89% |
6 Rooms | 578, 13.44%, see rank | 15.17% | 18.45% |
7 Rooms | 618, 14.37%, see rank | 10.56% | 12.06% |
8 Rooms | 605, 14.07%, see rank | 7.67% | 8.06% |
9 Rooms or More | 1,208, 28.09%, see rank | 7.93% | 7.70% |
Median Rooms | 7.00, 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.