13332 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 13332 Zip Code | New York | U.S. |
Total Housing Units | 1,171, 100% | 8,153,309 | 132,741,033 |
1 Room | 10, 0.85%, see rank | 3.74% | 1.95% |
2 Rooms | 6, 0.51%, see rank | 3.69% | 2.48% |
3 Rooms | 92, 7.86%, see rank | 15.28% | 9.13% |
4 Rooms | 145, 12.38%, see rank | 18.50% | 16.60% |
5 Rooms | 148, 12.64%, see rank | 16.75% | 20.41% |
6 Rooms | 211, 18.02%, see rank | 15.01% | 18.06% |
7 Rooms | 156, 13.32%, see rank | 10.26% | 12.27% |
8 Rooms | 188, 16.05%, see rank | 7.56% | 8.48% |
9 Rooms or More | 215, 18.36%, see rank | 9.20% | 10.60% |
Median Rooms | 6.40, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 13332 Zip Code | New York | U.S. |
Total Housing Units | 1,232, 100% | 8,102,223 | 131,642,457 |
1 Room | 32, 2.60%, see rank | 3.74% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 3.56% | 2.36% |
3 Rooms | 40, 3.25%, see rank | 15.00% | 8.97% |
4 Rooms | 168, 13.64%, see rank | 18.37% | 16.57% |
5 Rooms | 182, 14.77%, see rank | 16.69% | 20.41% |
6 Rooms | 239, 19.40%, see rank | 15.16% | 18.25% |
7 Rooms | 127, 10.31%, see rank | 10.40% | 12.38% |
8 Rooms | 188, 15.26%, see rank | 7.73% | 8.59% |
9 Rooms or More | 256, 20.78%, see rank | 9.36% | 10.52% |
Median Rooms | 6.30, see rank | 5.10 | 5.50 |
US Census 2000 data
| 13332 Zip Code | New York | U.S. |
Total Housing Units | 1,028, 100% | 7,679,307 | 115,904,641 |
1 Room | 12, 1.17%, see rank | 4.20% | 2.20% |
2 Rooms | 15, 1.46%, see rank | 6.83% | 4.81% |
3 Rooms | 32, 3.11%, see rank | 14.77% | 9.84% |
4 Rooms | 106, 10.31%, see rank | 16.86% | 15.97% |
5 Rooms | 171, 16.63%, see rank | 16.00% | 20.89% |
6 Rooms | 214, 20.82%, see rank | 15.17% | 18.45% |
7 Rooms | 179, 17.41%, see rank | 10.56% | 12.06% |
8 Rooms | 138, 13.42%, see rank | 7.67% | 8.06% |
9 Rooms or More | 161, 15.66%, see rank | 7.93% | 7.70% |
Median Rooms | 6.30, 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.