10510 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 10510 Zip Code | New York | U.S. |
Total Housing Units | 3,544, 100% | 8,153,309 | 132,741,033 |
1 Room | 89, 2.51%, see rank | 3.74% | 1.95% |
2 Rooms | 100, 2.82%, see rank | 3.69% | 2.48% |
3 Rooms | 169, 4.77%, see rank | 15.28% | 9.13% |
4 Rooms | 322, 9.09%, see rank | 18.50% | 16.60% |
5 Rooms | 377, 10.64%, see rank | 16.75% | 20.41% |
6 Rooms | 403, 11.37%, see rank | 15.01% | 18.06% |
7 Rooms | 489, 13.80%, see rank | 10.26% | 12.27% |
8 Rooms | 513, 14.48%, see rank | 7.56% | 8.48% |
9 Rooms or More | 1,082, 30.53%, see rank | 9.20% | 10.60% |
Median Rooms | 7.10, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 10510 Zip Code | New York | U.S. |
Total Housing Units | 3,700, 100% | 8,102,223 | 131,642,457 |
1 Room | 67, 1.81%, see rank | 3.74% | 1.95% |
2 Rooms | 82, 2.22%, see rank | 3.56% | 2.36% |
3 Rooms | 200, 5.41%, see rank | 15.00% | 8.97% |
4 Rooms | 249, 6.73%, see rank | 18.37% | 16.57% |
5 Rooms | 328, 8.86%, see rank | 16.69% | 20.41% |
6 Rooms | 430, 11.62%, see rank | 15.16% | 18.25% |
7 Rooms | 586, 15.84%, see rank | 10.40% | 12.38% |
8 Rooms | 550, 14.86%, see rank | 7.73% | 8.59% |
9 Rooms or More | 1,208, 32.65%, see rank | 9.36% | 10.52% |
Median Rooms | 7.30, see rank | 5.10 | 5.50 |
US Census 2000 data
| 10510 Zip Code | New York | U.S. |
Total Housing Units | 3,288, 100% | 7,679,307 | 115,904,641 |
1 Room | 41, 1.25%, see rank | 4.20% | 2.20% |
2 Rooms | 34, 1.03%, see rank | 6.83% | 4.81% |
3 Rooms | 159, 4.84%, see rank | 14.77% | 9.84% |
4 Rooms | 245, 7.45%, see rank | 16.86% | 15.97% |
5 Rooms | 258, 7.85%, see rank | 16.00% | 20.89% |
6 Rooms | 425, 12.93%, see rank | 15.17% | 18.45% |
7 Rooms | 564, 17.15%, see rank | 10.56% | 12.06% |
8 Rooms | 645, 19.62%, see rank | 7.67% | 8.06% |
9 Rooms or More | 917, 27.89%, see rank | 7.93% | 7.70% |
Median Rooms | 7.40, 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.