12885 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 12885 Zip Code | New York | U.S. |
Total Housing Units | 2,459, 100% | 8,153,309 | 132,741,033 |
1 Room | 13, 0.53%, see rank | 3.74% | 1.95% |
2 Rooms | 27, 1.10%, see rank | 3.69% | 2.48% |
3 Rooms | 263, 10.70%, see rank | 15.28% | 9.13% |
4 Rooms | 424, 17.24%, see rank | 18.50% | 16.60% |
5 Rooms | 511, 20.78%, see rank | 16.75% | 20.41% |
6 Rooms | 507, 20.62%, see rank | 15.01% | 18.06% |
7 Rooms | 285, 11.59%, see rank | 10.26% | 12.27% |
8 Rooms | 184, 7.48%, see rank | 7.56% | 8.48% |
9 Rooms or More | 245, 9.96%, see rank | 9.20% | 10.60% |
Median Rooms | 5.50, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 12885 Zip Code | New York | U.S. |
Total Housing Units | 2,391, 100% | 8,102,223 | 131,642,457 |
1 Room | 11, 0.46%, see rank | 3.74% | 1.95% |
2 Rooms | 75, 3.14%, see rank | 3.56% | 2.36% |
3 Rooms | 197, 8.24%, see rank | 15.00% | 8.97% |
4 Rooms | 358, 14.97%, see rank | 18.37% | 16.57% |
5 Rooms | 582, 24.34%, see rank | 16.69% | 20.41% |
6 Rooms | 482, 20.16%, see rank | 15.16% | 18.25% |
7 Rooms | 290, 12.13%, see rank | 10.40% | 12.38% |
8 Rooms | 237, 9.91%, see rank | 7.73% | 8.59% |
9 Rooms or More | 159, 6.65%, see rank | 9.36% | 10.52% |
Median Rooms | 5.50, see rank | 5.10 | 5.50 |
US Census 2000 data
| 12885 Zip Code | New York | U.S. |
Total Housing Units | 2,323, 100% | 7,679,307 | 115,904,641 |
1 Room | 23, 0.99%, see rank | 4.20% | 2.20% |
2 Rooms | 41, 1.76%, see rank | 6.83% | 4.81% |
3 Rooms | 220, 9.47%, see rank | 14.77% | 9.84% |
4 Rooms | 477, 20.53%, see rank | 16.86% | 15.97% |
5 Rooms | 506, 21.78%, see rank | 16.00% | 20.89% |
6 Rooms | 457, 19.67%, see rank | 15.17% | 18.45% |
7 Rooms | 292, 12.57%, see rank | 10.56% | 12.06% |
8 Rooms | 181, 7.79%, see rank | 7.67% | 8.06% |
9 Rooms or More | 126, 5.42%, see rank | 7.93% | 7.70% |
Median Rooms | 5.30, 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.