14787 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 14787 Zip Code | New York | U.S. |
Total Housing Units | 2,617, 100% | 8,153,309 | 132,741,033 |
1 Room | 5, 0.19%, see rank | 3.74% | 1.95% |
2 Rooms | 52, 1.99%, see rank | 3.69% | 2.48% |
3 Rooms | 174, 6.65%, see rank | 15.28% | 9.13% |
4 Rooms | 440, 16.81%, see rank | 18.50% | 16.60% |
5 Rooms | 322, 12.30%, see rank | 16.75% | 20.41% |
6 Rooms | 618, 23.61%, see rank | 15.01% | 18.06% |
7 Rooms | 257, 9.82%, see rank | 10.26% | 12.27% |
8 Rooms | 322, 12.30%, see rank | 7.56% | 8.48% |
9 Rooms or More | 427, 16.32%, see rank | 9.20% | 10.60% |
Median Rooms | 6.00, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 14787 Zip Code | New York | U.S. |
Total Housing Units | 2,814, 100% | 8,102,223 | 131,642,457 |
1 Room | 4, 0.14%, see rank | 3.74% | 1.95% |
2 Rooms | 37, 1.31%, see rank | 3.56% | 2.36% |
3 Rooms | 198, 7.04%, see rank | 15.00% | 8.97% |
4 Rooms | 386, 13.72%, see rank | 18.37% | 16.57% |
5 Rooms | 337, 11.98%, see rank | 16.69% | 20.41% |
6 Rooms | 710, 25.23%, see rank | 15.16% | 18.25% |
7 Rooms | 165, 5.86%, see rank | 10.40% | 12.38% |
8 Rooms | 465, 16.52%, see rank | 7.73% | 8.59% |
9 Rooms or More | 512, 18.19%, see rank | 9.36% | 10.52% |
Median Rooms | 6.10, see rank | 5.10 | 5.50 |
US Census 2000 data
| 14787 Zip Code | New York | U.S. |
Total Housing Units | 2,651, 100% | 7,679,307 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 4.20% | 2.20% |
2 Rooms | 68, 2.57%, see rank | 6.83% | 4.81% |
3 Rooms | 168, 6.34%, see rank | 14.77% | 9.84% |
4 Rooms | 403, 15.20%, see rank | 16.86% | 15.97% |
5 Rooms | 506, 19.09%, see rank | 16.00% | 20.89% |
6 Rooms | 483, 18.22%, see rank | 15.17% | 18.45% |
7 Rooms | 331, 12.49%, see rank | 10.56% | 12.06% |
8 Rooms | 290, 10.94%, see rank | 7.67% | 8.06% |
9 Rooms or More | 402, 15.16%, 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.