12188 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 12188 Zip Code | New York | U.S. |
Total Housing Units | 5,030, 100% | 8,153,309 | 132,741,033 |
1 Room | 102, 2.03%, see rank | 3.74% | 1.95% |
2 Rooms | 77, 1.53%, see rank | 3.69% | 2.48% |
3 Rooms | 295, 5.86%, see rank | 15.28% | 9.13% |
4 Rooms | 723, 14.37%, see rank | 18.50% | 16.60% |
5 Rooms | 881, 17.51%, see rank | 16.75% | 20.41% |
6 Rooms | 1,070, 21.27%, see rank | 15.01% | 18.06% |
7 Rooms | 703, 13.98%, see rank | 10.26% | 12.27% |
8 Rooms | 590, 11.73%, see rank | 7.56% | 8.48% |
9 Rooms or More | 589, 11.71%, see rank | 9.20% | 10.60% |
Median Rooms | 5.90, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 12188 Zip Code | New York | U.S. |
Total Housing Units | 4,852, 100% | 8,102,223 | 131,642,457 |
1 Room | 137, 2.82%, see rank | 3.74% | 1.95% |
2 Rooms | 69, 1.42%, see rank | 3.56% | 2.36% |
3 Rooms | 231, 4.76%, see rank | 15.00% | 8.97% |
4 Rooms | 588, 12.12%, see rank | 18.37% | 16.57% |
5 Rooms | 875, 18.03%, see rank | 16.69% | 20.41% |
6 Rooms | 1,086, 22.38%, see rank | 15.16% | 18.25% |
7 Rooms | 672, 13.85%, see rank | 10.40% | 12.38% |
8 Rooms | 554, 11.42%, see rank | 7.73% | 8.59% |
9 Rooms or More | 640, 13.19%, see rank | 9.36% | 10.52% |
Median Rooms | 6.00, see rank | 5.10 | 5.50 |
US Census 2000 data
| 12188 Zip Code | New York | U.S. |
Total Housing Units | 4,515, 100% | 7,679,307 | 115,904,641 |
1 Room | 11, 0.24%, see rank | 4.20% | 2.20% |
2 Rooms | 92, 2.04%, see rank | 6.83% | 4.81% |
3 Rooms | 228, 5.05%, see rank | 14.77% | 9.84% |
4 Rooms | 667, 14.77%, see rank | 16.86% | 15.97% |
5 Rooms | 1,030, 22.81%, see rank | 16.00% | 20.89% |
6 Rooms | 852, 18.87%, see rank | 15.17% | 18.45% |
7 Rooms | 755, 16.72%, see rank | 10.56% | 12.06% |
8 Rooms | 458, 10.14%, see rank | 7.67% | 8.06% |
9 Rooms or More | 422, 9.35%, see rank | 7.93% | 7.70% |
Median Rooms | 5.80, 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.