12076 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 12076 Zip Code | New York | U.S. |
Total Housing Units | 1,427, 100% | 8,153,309 | 132,741,033 |
1 Room | 22, 1.54%, see rank | 3.74% | 1.95% |
2 Rooms | 27, 1.89%, see rank | 3.69% | 2.48% |
3 Rooms | 124, 8.69%, see rank | 15.28% | 9.13% |
4 Rooms | 220, 15.42%, see rank | 18.50% | 16.60% |
5 Rooms | 249, 17.45%, see rank | 16.75% | 20.41% |
6 Rooms | 295, 20.67%, see rank | 15.01% | 18.06% |
7 Rooms | 188, 13.17%, see rank | 10.26% | 12.27% |
8 Rooms | 138, 9.67%, see rank | 7.56% | 8.48% |
9 Rooms or More | 164, 11.49%, see rank | 9.20% | 10.60% |
Median Rooms | 5.70, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 12076 Zip Code | New York | U.S. |
Total Housing Units | 1,492, 100% | 8,102,223 | 131,642,457 |
1 Room | 30, 2.01%, see rank | 3.74% | 1.95% |
2 Rooms | 39, 2.61%, see rank | 3.56% | 2.36% |
3 Rooms | 171, 11.46%, see rank | 15.00% | 8.97% |
4 Rooms | 304, 20.38%, see rank | 18.37% | 16.57% |
5 Rooms | 274, 18.36%, see rank | 16.69% | 20.41% |
6 Rooms | 265, 17.76%, see rank | 15.16% | 18.25% |
7 Rooms | 177, 11.86%, see rank | 10.40% | 12.38% |
8 Rooms | 95, 6.37%, see rank | 7.73% | 8.59% |
9 Rooms or More | 137, 9.18%, see rank | 9.36% | 10.52% |
Median Rooms | 5.20, see rank | 5.10 | 5.50 |
US Census 2000 data
| 12076 Zip Code | New York | U.S. |
Total Housing Units | 1,269, 100% | 7,679,307 | 115,904,641 |
1 Room | 67, 5.28%, see rank | 4.20% | 2.20% |
2 Rooms | 30, 2.36%, see rank | 6.83% | 4.81% |
3 Rooms | 124, 9.77%, see rank | 14.77% | 9.84% |
4 Rooms | 214, 16.86%, see rank | 16.86% | 15.97% |
5 Rooms | 238, 18.75%, see rank | 16.00% | 20.89% |
6 Rooms | 210, 16.55%, see rank | 15.17% | 18.45% |
7 Rooms | 182, 14.34%, see rank | 10.56% | 12.06% |
8 Rooms | 98, 7.72%, see rank | 7.67% | 8.06% |
9 Rooms or More | 106, 8.35%, 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.