14724 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 14724 Zip Code | New York | U.S. |
Total Housing Units | 1,483, 100% | 8,153,309 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 3.74% | 1.95% |
2 Rooms | 17, 1.15%, see rank | 3.69% | 2.48% |
3 Rooms | 93, 6.27%, see rank | 15.28% | 9.13% |
4 Rooms | 202, 13.62%, see rank | 18.50% | 16.60% |
5 Rooms | 227, 15.31%, see rank | 16.75% | 20.41% |
6 Rooms | 287, 19.35%, see rank | 15.01% | 18.06% |
7 Rooms | 251, 16.93%, see rank | 10.26% | 12.27% |
8 Rooms | 164, 11.06%, see rank | 7.56% | 8.48% |
9 Rooms or More | 242, 16.32%, see rank | 9.20% | 10.60% |
Median Rooms | 6.20, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 14724 Zip Code | New York | U.S. |
Total Housing Units | 1,427, 100% | 8,102,223 | 131,642,457 |
1 Room | 12, 0.84%, see rank | 3.74% | 1.95% |
2 Rooms | 14, 0.98%, see rank | 3.56% | 2.36% |
3 Rooms | 118, 8.27%, see rank | 15.00% | 8.97% |
4 Rooms | 248, 17.38%, see rank | 18.37% | 16.57% |
5 Rooms | 231, 16.19%, see rank | 16.69% | 20.41% |
6 Rooms | 263, 18.43%, see rank | 15.16% | 18.25% |
7 Rooms | 196, 13.74%, see rank | 10.40% | 12.38% |
8 Rooms | 159, 11.14%, see rank | 7.73% | 8.59% |
9 Rooms or More | 186, 13.03%, see rank | 9.36% | 10.52% |
Median Rooms | 5.80, see rank | 5.10 | 5.50 |
US Census 2000 data
| 14724 Zip Code | New York | U.S. |
Total Housing Units | 1,478, 100% | 7,679,307 | 115,904,641 |
1 Room | 9, 0.61%, see rank | 4.20% | 2.20% |
2 Rooms | 18, 1.22%, see rank | 6.83% | 4.81% |
3 Rooms | 100, 6.77%, see rank | 14.77% | 9.84% |
4 Rooms | 213, 14.41%, see rank | 16.86% | 15.97% |
5 Rooms | 271, 18.34%, see rank | 16.00% | 20.89% |
6 Rooms | 328, 22.19%, see rank | 15.17% | 18.45% |
7 Rooms | 211, 14.28%, see rank | 10.56% | 12.06% |
8 Rooms | 166, 11.23%, see rank | 7.67% | 8.06% |
9 Rooms or More | 162, 10.96%, see rank | 7.93% | 7.70% |
Median Rooms | 5.90, 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.