10920 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 10920 Zip Code | New York | U.S. |
Total Housing Units | 3,031, 100% | 8,153,309 | 132,741,033 |
1 Room | 31, 1.02%, see rank | 3.74% | 1.95% |
2 Rooms | 9, 0.30%, see rank | 3.69% | 2.48% |
3 Rooms | 158, 5.21%, see rank | 15.28% | 9.13% |
4 Rooms | 241, 7.95%, see rank | 18.50% | 16.60% |
5 Rooms | 316, 10.43%, see rank | 16.75% | 20.41% |
6 Rooms | 571, 18.84%, see rank | 15.01% | 18.06% |
7 Rooms | 481, 15.87%, see rank | 10.26% | 12.27% |
8 Rooms | 508, 16.76%, see rank | 7.56% | 8.48% |
9 Rooms or More | 716, 23.62%, see rank | 9.20% | 10.60% |
Median Rooms | 6.90, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 10920 Zip Code | New York | U.S. |
Total Housing Units | 3,046, 100% | 8,102,223 | 131,642,457 |
1 Room | 61, 2.00%, see rank | 3.74% | 1.95% |
2 Rooms | 12, 0.39%, see rank | 3.56% | 2.36% |
3 Rooms | 157, 5.15%, see rank | 15.00% | 8.97% |
4 Rooms | 269, 8.83%, see rank | 18.37% | 16.57% |
5 Rooms | 285, 9.36%, see rank | 16.69% | 20.41% |
6 Rooms | 456, 14.97%, see rank | 15.16% | 18.25% |
7 Rooms | 432, 14.18%, see rank | 10.40% | 12.38% |
8 Rooms | 615, 20.19%, see rank | 7.73% | 8.59% |
9 Rooms or More | 759, 24.92%, see rank | 9.36% | 10.52% |
Median Rooms | 7.20, see rank | 5.10 | 5.50 |
US Census 2000 data
| 10920 Zip Code | New York | U.S. |
Total Housing Units | 3,029, 100% | 7,679,307 | 115,904,641 |
1 Room | 42, 1.39%, see rank | 4.20% | 2.20% |
2 Rooms | 43, 1.42%, see rank | 6.83% | 4.81% |
3 Rooms | 171, 5.65%, see rank | 14.77% | 9.84% |
4 Rooms | 181, 5.98%, see rank | 16.86% | 15.97% |
5 Rooms | 431, 14.23%, see rank | 16.00% | 20.89% |
6 Rooms | 508, 16.77%, see rank | 15.17% | 18.45% |
7 Rooms | 414, 13.67%, see rank | 10.56% | 12.06% |
8 Rooms | 594, 19.61%, see rank | 7.67% | 8.06% |
9 Rooms or More | 645, 21.29%, see rank | 7.93% | 7.70% |
Median Rooms | 6.80, 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.