14891 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 14891 Zip Code | New York | U.S. |
Total Housing Units | 2,173, 100% | 8,153,309 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 3.74% | 1.95% |
2 Rooms | 76, 3.50%, see rank | 3.69% | 2.48% |
3 Rooms | 218, 10.03%, see rank | 15.28% | 9.13% |
4 Rooms | 237, 10.91%, see rank | 18.50% | 16.60% |
5 Rooms | 413, 19.01%, see rank | 16.75% | 20.41% |
6 Rooms | 330, 15.19%, see rank | 15.01% | 18.06% |
7 Rooms | 290, 13.35%, see rank | 10.26% | 12.27% |
8 Rooms | 323, 14.86%, see rank | 7.56% | 8.48% |
9 Rooms or More | 286, 13.16%, see rank | 9.20% | 10.60% |
Median Rooms | 5.90, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 14891 Zip Code | New York | U.S. |
Total Housing Units | 2,174, 100% | 8,102,223 | 131,642,457 |
1 Room | 28, 1.29%, see rank | 3.74% | 1.95% |
2 Rooms | 63, 2.90%, see rank | 3.56% | 2.36% |
3 Rooms | 190, 8.74%, see rank | 15.00% | 8.97% |
4 Rooms | 264, 12.14%, see rank | 18.37% | 16.57% |
5 Rooms | 415, 19.09%, see rank | 16.69% | 20.41% |
6 Rooms | 377, 17.34%, see rank | 15.16% | 18.25% |
7 Rooms | 316, 14.54%, see rank | 10.40% | 12.38% |
8 Rooms | 304, 13.98%, see rank | 7.73% | 8.59% |
9 Rooms or More | 217, 9.98%, see rank | 9.36% | 10.52% |
Median Rooms | 5.80, see rank | 5.10 | 5.50 |
US Census 2000 data
| 14891 Zip Code | New York | U.S. |
Total Housing Units | 2,063, 100% | 7,679,307 | 115,904,641 |
1 Room | 8, 0.39%, see rank | 4.20% | 2.20% |
2 Rooms | 34, 1.65%, see rank | 6.83% | 4.81% |
3 Rooms | 172, 8.34%, see rank | 14.77% | 9.84% |
4 Rooms | 308, 14.93%, see rank | 16.86% | 15.97% |
5 Rooms | 396, 19.20%, see rank | 16.00% | 20.89% |
6 Rooms | 374, 18.13%, see rank | 15.17% | 18.45% |
7 Rooms | 300, 14.54%, see rank | 10.56% | 12.06% |
8 Rooms | 239, 11.59%, see rank | 7.67% | 8.06% |
9 Rooms or More | 232, 11.25%, see rank | 7.93% | 7.70% |
Median Rooms | 5.80, 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.