14883 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 14883 Zip Code | New York | U.S. |
Total Housing Units | 1,838, 100% | 8,153,309 | 132,741,033 |
1 Room | 61, 3.32%, see rank | 3.74% | 1.95% |
2 Rooms | 4, 0.22%, see rank | 3.69% | 2.48% |
3 Rooms | 79, 4.30%, see rank | 15.28% | 9.13% |
4 Rooms | 356, 19.37%, see rank | 18.50% | 16.60% |
5 Rooms | 348, 18.93%, see rank | 16.75% | 20.41% |
6 Rooms | 307, 16.70%, see rank | 15.01% | 18.06% |
7 Rooms | 281, 15.29%, see rank | 10.26% | 12.27% |
8 Rooms | 177, 9.63%, see rank | 7.56% | 8.48% |
9 Rooms or More | 225, 12.24%, see rank | 9.20% | 10.60% |
Median Rooms | 5.70, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 14883 Zip Code | New York | U.S. |
Total Housing Units | 1,888, 100% | 8,102,223 | 131,642,457 |
1 Room | 43, 2.28%, see rank | 3.74% | 1.95% |
2 Rooms | 5, 0.26%, see rank | 3.56% | 2.36% |
3 Rooms | 137, 7.26%, see rank | 15.00% | 8.97% |
4 Rooms | 327, 17.32%, see rank | 18.37% | 16.57% |
5 Rooms | 295, 15.63%, see rank | 16.69% | 20.41% |
6 Rooms | 363, 19.23%, see rank | 15.16% | 18.25% |
7 Rooms | 265, 14.04%, see rank | 10.40% | 12.38% |
8 Rooms | 225, 11.92%, see rank | 7.73% | 8.59% |
9 Rooms or More | 228, 12.08%, see rank | 9.36% | 10.52% |
Median Rooms | 5.90, see rank | 5.10 | 5.50 |
US Census 2000 data
| 14883 Zip Code | New York | U.S. |
Total Housing Units | 1,649, 100% | 7,679,307 | 115,904,641 |
1 Room | 10, 0.61%, see rank | 4.20% | 2.20% |
2 Rooms | 29, 1.76%, see rank | 6.83% | 4.81% |
3 Rooms | 106, 6.43%, see rank | 14.77% | 9.84% |
4 Rooms | 210, 12.73%, see rank | 16.86% | 15.97% |
5 Rooms | 343, 20.80%, see rank | 16.00% | 20.89% |
6 Rooms | 321, 19.47%, see rank | 15.17% | 18.45% |
7 Rooms | 278, 16.86%, see rank | 10.56% | 12.06% |
8 Rooms | 170, 10.31%, see rank | 7.67% | 8.06% |
9 Rooms or More | 182, 11.04%, 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.