10474 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 10474 Zip Code | New York | U.S. |
Total Housing Units | 4,129, 100% | 8,153,309 | 132,741,033 |
1 Room | 203, 4.92%, see rank | 3.74% | 1.95% |
2 Rooms | 140, 3.39%, see rank | 3.69% | 2.48% |
3 Rooms | 1,290, 31.24%, see rank | 15.28% | 9.13% |
4 Rooms | 1,386, 33.57%, see rank | 18.50% | 16.60% |
5 Rooms | 722, 17.49%, see rank | 16.75% | 20.41% |
6 Rooms | 286, 6.93%, see rank | 15.01% | 18.06% |
7 Rooms | 51, 1.24%, see rank | 10.26% | 12.27% |
8 Rooms | 0, 0.00%, see rank | 7.56% | 8.48% |
9 Rooms or More | 51, 1.24%, see rank | 9.20% | 10.60% |
Median Rooms | 3.80, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 10474 Zip Code | New York | U.S. |
Total Housing Units | 4,161, 100% | 8,102,223 | 131,642,457 |
1 Room | 166, 3.99%, see rank | 3.74% | 1.95% |
2 Rooms | 132, 3.17%, see rank | 3.56% | 2.36% |
3 Rooms | 1,248, 29.99%, see rank | 15.00% | 8.97% |
4 Rooms | 1,525, 36.65%, see rank | 18.37% | 16.57% |
5 Rooms | 795, 19.11%, see rank | 16.69% | 20.41% |
6 Rooms | 175, 4.21%, see rank | 15.16% | 18.25% |
7 Rooms | 81, 1.95%, see rank | 10.40% | 12.38% |
8 Rooms | 0, 0.00%, see rank | 7.73% | 8.59% |
9 Rooms or More | 39, 0.94%, see rank | 9.36% | 10.52% |
Median Rooms | 3.90, see rank | 5.10 | 5.50 |
US Census 2000 data
| 10474 Zip Code | New York | U.S. |
Total Housing Units | 3,807, 100% | 7,679,307 | 115,904,641 |
1 Room | 373, 9.80%, see rank | 4.20% | 2.20% |
2 Rooms | 444, 11.66%, see rank | 6.83% | 4.81% |
3 Rooms | 1,110, 29.16%, see rank | 14.77% | 9.84% |
4 Rooms | 935, 24.56%, see rank | 16.86% | 15.97% |
5 Rooms | 657, 17.26%, see rank | 16.00% | 20.89% |
6 Rooms | 175, 4.60%, see rank | 15.17% | 18.45% |
7 Rooms | 65, 1.71%, see rank | 10.56% | 12.06% |
8 Rooms | 17, 0.45%, see rank | 7.67% | 8.06% |
9 Rooms or More | 31, 0.81%, see rank | 7.93% | 7.70% |
Median Rooms | 3.50, 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.