13068 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 13068 Zip Code | New York | U.S. |
Total Housing Units | 2,452, 100% | 8,153,309 | 132,741,033 |
1 Room | 5, 0.20%, see rank | 3.74% | 1.95% |
2 Rooms | 56, 2.28%, see rank | 3.69% | 2.48% |
3 Rooms | 192, 7.83%, see rank | 15.28% | 9.13% |
4 Rooms | 404, 16.48%, see rank | 18.50% | 16.60% |
5 Rooms | 554, 22.59%, see rank | 16.75% | 20.41% |
6 Rooms | 399, 16.27%, see rank | 15.01% | 18.06% |
7 Rooms | 346, 14.11%, see rank | 10.26% | 12.27% |
8 Rooms | 194, 7.91%, see rank | 7.56% | 8.48% |
9 Rooms or More | 302, 12.32%, see rank | 9.20% | 10.60% |
Median Rooms | 5.50, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 13068 Zip Code | New York | U.S. |
Total Housing Units | 2,418, 100% | 8,102,223 | 131,642,457 |
1 Room | 18, 0.74%, see rank | 3.74% | 1.95% |
2 Rooms | 93, 3.85%, see rank | 3.56% | 2.36% |
3 Rooms | 235, 9.72%, see rank | 15.00% | 8.97% |
4 Rooms | 374, 15.47%, see rank | 18.37% | 16.57% |
5 Rooms | 416, 17.20%, see rank | 16.69% | 20.41% |
6 Rooms | 355, 14.68%, see rank | 15.16% | 18.25% |
7 Rooms | 365, 15.10%, see rank | 10.40% | 12.38% |
8 Rooms | 222, 9.18%, see rank | 7.73% | 8.59% |
9 Rooms or More | 340, 14.06%, see rank | 9.36% | 10.52% |
Median Rooms | 5.70, see rank | 5.10 | 5.50 |
US Census 2000 data
| 13068 Zip Code | New York | U.S. |
Total Housing Units | 1,972, 100% | 7,679,307 | 115,904,641 |
1 Room | 28, 1.42%, see rank | 4.20% | 2.20% |
2 Rooms | 42, 2.13%, see rank | 6.83% | 4.81% |
3 Rooms | 150, 7.61%, see rank | 14.77% | 9.84% |
4 Rooms | 308, 15.62%, see rank | 16.86% | 15.97% |
5 Rooms | 372, 18.86%, see rank | 16.00% | 20.89% |
6 Rooms | 332, 16.84%, see rank | 15.17% | 18.45% |
7 Rooms | 256, 12.98%, see rank | 10.56% | 12.06% |
8 Rooms | 228, 11.56%, see rank | 7.67% | 8.06% |
9 Rooms or More | 256, 12.98%, 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.