12580 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 12580 Zip Code | New York | U.S. |
Total Housing Units | 1,856, 100% | 8,153,309 | 132,741,033 |
1 Room | 57, 3.07%, see rank | 3.74% | 1.95% |
2 Rooms | 38, 2.05%, see rank | 3.69% | 2.48% |
3 Rooms | 152, 8.19%, see rank | 15.28% | 9.13% |
4 Rooms | 149, 8.03%, see rank | 18.50% | 16.60% |
5 Rooms | 226, 12.18%, see rank | 16.75% | 20.41% |
6 Rooms | 378, 20.37%, see rank | 15.01% | 18.06% |
7 Rooms | 425, 22.90%, see rank | 10.26% | 12.27% |
8 Rooms | 216, 11.64%, see rank | 7.56% | 8.48% |
9 Rooms or More | 215, 11.58%, see rank | 9.20% | 10.60% |
Median Rooms | 6.30, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 12580 Zip Code | New York | U.S. |
Total Housing Units | 1,922, 100% | 8,102,223 | 131,642,457 |
1 Room | 29, 1.51%, see rank | 3.74% | 1.95% |
2 Rooms | 10, 0.52%, see rank | 3.56% | 2.36% |
3 Rooms | 138, 7.18%, see rank | 15.00% | 8.97% |
4 Rooms | 179, 9.31%, see rank | 18.37% | 16.57% |
5 Rooms | 159, 8.27%, see rank | 16.69% | 20.41% |
6 Rooms | 476, 24.77%, see rank | 15.16% | 18.25% |
7 Rooms | 381, 19.82%, see rank | 10.40% | 12.38% |
8 Rooms | 261, 13.58%, see rank | 7.73% | 8.59% |
9 Rooms or More | 289, 15.04%, see rank | 9.36% | 10.52% |
Median Rooms | 6.40, see rank | 5.10 | 5.50 |
US Census 2000 data
| 12580 Zip Code | New York | U.S. |
Total Housing Units | 1,579, 100% | 7,679,307 | 115,904,641 |
1 Room | 11, 0.70%, see rank | 4.20% | 2.20% |
2 Rooms | 13, 0.82%, see rank | 6.83% | 4.81% |
3 Rooms | 8, 0.51%, see rank | 14.77% | 9.84% |
4 Rooms | 201, 12.73%, see rank | 16.86% | 15.97% |
5 Rooms | 223, 14.12%, see rank | 16.00% | 20.89% |
6 Rooms | 333, 21.09%, see rank | 15.17% | 18.45% |
7 Rooms | 319, 20.20%, see rank | 10.56% | 12.06% |
8 Rooms | 238, 15.07%, see rank | 7.67% | 8.06% |
9 Rooms or More | 233, 14.76%, see rank | 7.93% | 7.70% |
Median Rooms | 6.50, 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.