14715 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 14715 Zip Code | New York | U.S. |
Total Housing Units | 1,656, 100% | 8,153,309 | 132,741,033 |
1 Room | 5, 0.30%, see rank | 3.74% | 1.95% |
2 Rooms | 36, 2.17%, see rank | 3.69% | 2.48% |
3 Rooms | 97, 5.86%, see rank | 15.28% | 9.13% |
4 Rooms | 165, 9.96%, see rank | 18.50% | 16.60% |
5 Rooms | 309, 18.66%, see rank | 16.75% | 20.41% |
6 Rooms | 261, 15.76%, see rank | 15.01% | 18.06% |
7 Rooms | 283, 17.09%, see rank | 10.26% | 12.27% |
8 Rooms | 228, 13.77%, see rank | 7.56% | 8.48% |
9 Rooms or More | 272, 16.43%, see rank | 9.20% | 10.60% |
Median Rooms | 6.30, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 14715 Zip Code | New York | U.S. |
Total Housing Units | 1,594, 100% | 8,102,223 | 131,642,457 |
1 Room | 21, 1.32%, see rank | 3.74% | 1.95% |
2 Rooms | 26, 1.63%, see rank | 3.56% | 2.36% |
3 Rooms | 96, 6.02%, see rank | 15.00% | 8.97% |
4 Rooms | 116, 7.28%, see rank | 18.37% | 16.57% |
5 Rooms | 305, 19.13%, see rank | 16.69% | 20.41% |
6 Rooms | 275, 17.25%, see rank | 15.16% | 18.25% |
7 Rooms | 291, 18.26%, see rank | 10.40% | 12.38% |
8 Rooms | 184, 11.54%, see rank | 7.73% | 8.59% |
9 Rooms or More | 280, 17.57%, see rank | 9.36% | 10.52% |
Median Rooms | 6.30, see rank | 5.10 | 5.50 |
US Census 2000 data
| 14715 Zip Code | New York | U.S. |
Total Housing Units | 1,518, 100% | 7,679,307 | 115,904,641 |
1 Room | 31, 2.04%, see rank | 4.20% | 2.20% |
2 Rooms | 16, 1.05%, see rank | 6.83% | 4.81% |
3 Rooms | 96, 6.32%, see rank | 14.77% | 9.84% |
4 Rooms | 186, 12.25%, see rank | 16.86% | 15.97% |
5 Rooms | 306, 20.16%, see rank | 16.00% | 20.89% |
6 Rooms | 304, 20.03%, see rank | 15.17% | 18.45% |
7 Rooms | 246, 16.21%, see rank | 10.56% | 12.06% |
8 Rooms | 181, 11.92%, see rank | 7.67% | 8.06% |
9 Rooms or More | 152, 10.01%, 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.