13461 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 13461 Zip Code | New York | U.S. |
Total Housing Units | 1,342, 100% | 8,153,309 | 132,741,033 |
1 Room | 65, 4.84%, see rank | 3.74% | 1.95% |
2 Rooms | 25, 1.86%, see rank | 3.69% | 2.48% |
3 Rooms | 62, 4.62%, see rank | 15.28% | 9.13% |
4 Rooms | 61, 4.55%, see rank | 18.50% | 16.60% |
5 Rooms | 203, 15.13%, see rank | 16.75% | 20.41% |
6 Rooms | 265, 19.75%, see rank | 15.01% | 18.06% |
7 Rooms | 231, 17.21%, see rank | 10.26% | 12.27% |
8 Rooms | 247, 18.41%, see rank | 7.56% | 8.48% |
9 Rooms or More | 183, 13.64%, see rank | 9.20% | 10.60% |
Median Rooms | 6.50, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 13461 Zip Code | New York | U.S. |
Total Housing Units | 1,421, 100% | 8,102,223 | 131,642,457 |
1 Room | 75, 5.28%, see rank | 3.74% | 1.95% |
2 Rooms | 30, 2.11%, see rank | 3.56% | 2.36% |
3 Rooms | 60, 4.22%, see rank | 15.00% | 8.97% |
4 Rooms | 115, 8.09%, see rank | 18.37% | 16.57% |
5 Rooms | 222, 15.62%, see rank | 16.69% | 20.41% |
6 Rooms | 234, 16.47%, see rank | 15.16% | 18.25% |
7 Rooms | 219, 15.41%, see rank | 10.40% | 12.38% |
8 Rooms | 266, 18.72%, see rank | 7.73% | 8.59% |
9 Rooms or More | 200, 14.07%, see rank | 9.36% | 10.52% |
Median Rooms | 6.40, see rank | 5.10 | 5.50 |
US Census 2000 data
| 13461 Zip Code | New York | U.S. |
Total Housing Units | 1,326, 100% | 7,679,307 | 115,904,641 |
1 Room | 3, 0.23%, see rank | 4.20% | 2.20% |
2 Rooms | 14, 1.06%, see rank | 6.83% | 4.81% |
3 Rooms | 140, 10.56%, see rank | 14.77% | 9.84% |
4 Rooms | 100, 7.54%, see rank | 16.86% | 15.97% |
5 Rooms | 178, 13.42%, see rank | 16.00% | 20.89% |
6 Rooms | 333, 25.11%, see rank | 15.17% | 18.45% |
7 Rooms | 261, 19.68%, see rank | 10.56% | 12.06% |
8 Rooms | 161, 12.14%, see rank | 7.67% | 8.06% |
9 Rooms or More | 136, 10.26%, see rank | 7.93% | 7.70% |
Median Rooms | 6.20, 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.