12983 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 12983 Zip Code | New York | U.S. |
Total Housing Units | 4,990, 100% | 8,153,309 | 132,741,033 |
1 Room | 364, 7.29%, see rank | 3.74% | 1.95% |
2 Rooms | 240, 4.81%, see rank | 3.69% | 2.48% |
3 Rooms | 520, 10.42%, see rank | 15.28% | 9.13% |
4 Rooms | 831, 16.65%, see rank | 18.50% | 16.60% |
5 Rooms | 597, 11.96%, see rank | 16.75% | 20.41% |
6 Rooms | 892, 17.88%, see rank | 15.01% | 18.06% |
7 Rooms | 594, 11.90%, see rank | 10.26% | 12.27% |
8 Rooms | 501, 10.04%, see rank | 7.56% | 8.48% |
9 Rooms or More | 451, 9.04%, see rank | 9.20% | 10.60% |
Median Rooms | 5.40, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 12983 Zip Code | New York | U.S. |
Total Housing Units | 5,174, 100% | 8,102,223 | 131,642,457 |
1 Room | 222, 4.29%, see rank | 3.74% | 1.95% |
2 Rooms | 245, 4.74%, see rank | 3.56% | 2.36% |
3 Rooms | 605, 11.69%, see rank | 15.00% | 8.97% |
4 Rooms | 871, 16.83%, see rank | 18.37% | 16.57% |
5 Rooms | 820, 15.85%, see rank | 16.69% | 20.41% |
6 Rooms | 824, 15.93%, see rank | 15.16% | 18.25% |
7 Rooms | 658, 12.72%, see rank | 10.40% | 12.38% |
8 Rooms | 540, 10.44%, see rank | 7.73% | 8.59% |
9 Rooms or More | 389, 7.52%, see rank | 9.36% | 10.52% |
Median Rooms | 5.30, see rank | 5.10 | 5.50 |
US Census 2000 data
| 12983 Zip Code | New York | U.S. |
Total Housing Units | 4,342, 100% | 7,679,307 | 115,904,641 |
1 Room | 270, 6.22%, see rank | 4.20% | 2.20% |
2 Rooms | 311, 7.16%, see rank | 6.83% | 4.81% |
3 Rooms | 537, 12.37%, see rank | 14.77% | 9.84% |
4 Rooms | 790, 18.19%, see rank | 16.86% | 15.97% |
5 Rooms | 653, 15.04%, see rank | 16.00% | 20.89% |
6 Rooms | 752, 17.32%, see rank | 15.17% | 18.45% |
7 Rooms | 428, 9.86%, see rank | 10.56% | 12.06% |
8 Rooms | 249, 5.73%, see rank | 7.67% | 8.06% |
9 Rooms or More | 352, 8.11%, see rank | 7.93% | 7.70% |
Median Rooms | 4.90, 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.