11954 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 11954 Zip Code | New York | U.S. |
Total Housing Units | 4,658, 100% | 8,153,309 | 132,741,033 |
1 Room | 287, 6.16%, see rank | 3.74% | 1.95% |
2 Rooms | 544, 11.68%, see rank | 3.69% | 2.48% |
3 Rooms | 382, 8.20%, see rank | 15.28% | 9.13% |
4 Rooms | 740, 15.89%, see rank | 18.50% | 16.60% |
5 Rooms | 896, 19.24%, see rank | 16.75% | 20.41% |
6 Rooms | 784, 16.83%, see rank | 15.01% | 18.06% |
7 Rooms | 301, 6.46%, see rank | 10.26% | 12.27% |
8 Rooms | 265, 5.69%, see rank | 7.56% | 8.48% |
9 Rooms or More | 459, 9.85%, see rank | 9.20% | 10.60% |
Median Rooms | 4.90, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 11954 Zip Code | New York | U.S. |
Total Housing Units | 4,663, 100% | 8,102,223 | 131,642,457 |
1 Room | 364, 7.81%, see rank | 3.74% | 1.95% |
2 Rooms | 577, 12.37%, see rank | 3.56% | 2.36% |
3 Rooms | 513, 11.00%, see rank | 15.00% | 8.97% |
4 Rooms | 864, 18.53%, see rank | 18.37% | 16.57% |
5 Rooms | 677, 14.52%, see rank | 16.69% | 20.41% |
6 Rooms | 695, 14.90%, see rank | 15.16% | 18.25% |
7 Rooms | 344, 7.38%, see rank | 10.40% | 12.38% |
8 Rooms | 148, 3.17%, see rank | 7.73% | 8.59% |
9 Rooms or More | 481, 10.32%, see rank | 9.36% | 10.52% |
Median Rooms | 4.50, see rank | 5.10 | 5.50 |
US Census 2000 data
| 11954 Zip Code | New York | U.S. |
Total Housing Units | 4,815, 100% | 7,679,307 | 115,904,641 |
1 Room | 507, 10.53%, see rank | 4.20% | 2.20% |
2 Rooms | 606, 12.59%, see rank | 6.83% | 4.81% |
3 Rooms | 461, 9.57%, see rank | 14.77% | 9.84% |
4 Rooms | 697, 14.48%, see rank | 16.86% | 15.97% |
5 Rooms | 770, 15.99%, see rank | 16.00% | 20.89% |
6 Rooms | 769, 15.97%, see rank | 15.17% | 18.45% |
7 Rooms | 500, 10.38%, see rank | 10.56% | 12.06% |
8 Rooms | 245, 5.09%, see rank | 7.67% | 8.06% |
9 Rooms or More | 260, 5.40%, see rank | 7.93% | 7.70% |
Median Rooms | 4.70, 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.