10473 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 10473 Zip Code | New York | U.S. |
Total Housing Units | 21,725, 100% | 8,153,309 | 132,741,033 |
1 Room | 891, 4.10%, see rank | 3.74% | 1.95% |
2 Rooms | 521, 2.40%, see rank | 3.69% | 2.48% |
3 Rooms | 3,889, 17.90%, see rank | 15.28% | 9.13% |
4 Rooms | 6,917, 31.84%, see rank | 18.50% | 16.60% |
5 Rooms | 5,697, 26.22%, see rank | 16.75% | 20.41% |
6 Rooms | 1,994, 9.18%, see rank | 15.01% | 18.06% |
7 Rooms | 855, 3.94%, see rank | 10.26% | 12.27% |
8 Rooms | 329, 1.51%, see rank | 7.56% | 8.48% |
9 Rooms or More | 632, 2.91%, see rank | 9.20% | 10.60% |
Median Rooms | 4.30, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 10473 Zip Code | New York | U.S. |
Total Housing Units | 21,730, 100% | 8,102,223 | 131,642,457 |
1 Room | 769, 3.54%, see rank | 3.74% | 1.95% |
2 Rooms | 323, 1.49%, see rank | 3.56% | 2.36% |
3 Rooms | 4,053, 18.65%, see rank | 15.00% | 8.97% |
4 Rooms | 7,200, 33.13%, see rank | 18.37% | 16.57% |
5 Rooms | 6,023, 27.72%, see rank | 16.69% | 20.41% |
6 Rooms | 1,823, 8.39%, see rank | 15.16% | 18.25% |
7 Rooms | 625, 2.88%, see rank | 10.40% | 12.38% |
8 Rooms | 281, 1.29%, see rank | 7.73% | 8.59% |
9 Rooms or More | 633, 2.91%, see rank | 9.36% | 10.52% |
Median Rooms | 4.30, see rank | 5.10 | 5.50 |
US Census 2000 data
| 10473 Zip Code | New York | U.S. |
Total Housing Units | 20,216, 100% | 7,679,307 | 115,904,641 |
1 Room | 869, 4.30%, see rank | 4.20% | 2.20% |
2 Rooms | 1,513, 7.48%, see rank | 6.83% | 4.81% |
3 Rooms | 3,884, 19.21%, see rank | 14.77% | 9.84% |
4 Rooms | 6,121, 30.28%, see rank | 16.86% | 15.97% |
5 Rooms | 4,509, 22.30%, see rank | 16.00% | 20.89% |
6 Rooms | 1,684, 8.33%, see rank | 15.17% | 18.45% |
7 Rooms | 573, 2.83%, see rank | 10.56% | 12.06% |
8 Rooms | 382, 1.89%, see rank | 7.67% | 8.06% |
9 Rooms or More | 681, 3.37%, see rank | 7.93% | 7.70% |
Median Rooms | 4.10, 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.