13317 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 13317 Zip Code | New York | U.S. |
Total Housing Units | 1,569, 100% | 8,153,309 | 132,741,033 |
1 Room | 21, 1.34%, see rank | 3.74% | 1.95% |
2 Rooms | 23, 1.47%, see rank | 3.69% | 2.48% |
3 Rooms | 11, 0.70%, see rank | 15.28% | 9.13% |
4 Rooms | 221, 14.09%, see rank | 18.50% | 16.60% |
5 Rooms | 328, 20.91%, see rank | 16.75% | 20.41% |
6 Rooms | 342, 21.80%, see rank | 15.01% | 18.06% |
7 Rooms | 266, 16.95%, see rank | 10.26% | 12.27% |
8 Rooms | 152, 9.69%, see rank | 7.56% | 8.48% |
9 Rooms or More | 205, 13.07%, see rank | 9.20% | 10.60% |
Median Rooms | 6.00, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 13317 Zip Code | New York | U.S. |
Total Housing Units | 1,573, 100% | 8,102,223 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 3.74% | 1.95% |
2 Rooms | 43, 2.73%, see rank | 3.56% | 2.36% |
3 Rooms | 20, 1.27%, see rank | 15.00% | 8.97% |
4 Rooms | 208, 13.22%, see rank | 18.37% | 16.57% |
5 Rooms | 252, 16.02%, see rank | 16.69% | 20.41% |
6 Rooms | 308, 19.58%, see rank | 15.16% | 18.25% |
7 Rooms | 251, 15.96%, see rank | 10.40% | 12.38% |
8 Rooms | 173, 11.00%, see rank | 7.73% | 8.59% |
9 Rooms or More | 318, 20.22%, see rank | 9.36% | 10.52% |
Median Rooms | 6.40, see rank | 5.10 | 5.50 |
US Census 2000 data
| 13317 Zip Code | New York | U.S. |
Total Housing Units | 1,656, 100% | 7,679,307 | 115,904,641 |
1 Room | 8, 0.48%, see rank | 4.20% | 2.20% |
2 Rooms | 17, 1.03%, see rank | 6.83% | 4.81% |
3 Rooms | 85, 5.13%, see rank | 14.77% | 9.84% |
4 Rooms | 282, 17.03%, see rank | 16.86% | 15.97% |
5 Rooms | 266, 16.06%, see rank | 16.00% | 20.89% |
6 Rooms | 297, 17.93%, see rank | 15.17% | 18.45% |
7 Rooms | 259, 15.64%, see rank | 10.56% | 12.06% |
8 Rooms | 191, 11.53%, see rank | 7.67% | 8.06% |
9 Rooms or More | 251, 15.16%, see rank | 7.93% | 7.70% |
Median Rooms | 6.10, 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.