13865 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 13865 Zip Code | New York | U.S. |
Total Housing Units | 3,059, 100% | 8,153,309 | 132,741,033 |
1 Room | 29, 0.95%, see rank | 3.74% | 1.95% |
2 Rooms | 41, 1.34%, see rank | 3.69% | 2.48% |
3 Rooms | 116, 3.79%, see rank | 15.28% | 9.13% |
4 Rooms | 332, 10.85%, see rank | 18.50% | 16.60% |
5 Rooms | 667, 21.80%, see rank | 16.75% | 20.41% |
6 Rooms | 737, 24.09%, see rank | 15.01% | 18.06% |
7 Rooms | 444, 14.51%, see rank | 10.26% | 12.27% |
8 Rooms | 333, 10.89%, see rank | 7.56% | 8.48% |
9 Rooms or More | 360, 11.77%, see rank | 9.20% | 10.60% |
Median Rooms | 6.00, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 13865 Zip Code | New York | U.S. |
Total Housing Units | 3,101, 100% | 8,102,223 | 131,642,457 |
1 Room | 24, 0.77%, see rank | 3.74% | 1.95% |
2 Rooms | 38, 1.23%, see rank | 3.56% | 2.36% |
3 Rooms | 57, 1.84%, see rank | 15.00% | 8.97% |
4 Rooms | 312, 10.06%, see rank | 18.37% | 16.57% |
5 Rooms | 769, 24.80%, see rank | 16.69% | 20.41% |
6 Rooms | 694, 22.38%, see rank | 15.16% | 18.25% |
7 Rooms | 464, 14.96%, see rank | 10.40% | 12.38% |
8 Rooms | 369, 11.90%, see rank | 7.73% | 8.59% |
9 Rooms or More | 374, 12.06%, see rank | 9.36% | 10.52% |
Median Rooms | 6.00, see rank | 5.10 | 5.50 |
US Census 2000 data
| 13865 Zip Code | New York | U.S. |
Total Housing Units | 2,939, 100% | 7,679,307 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 4.20% | 2.20% |
2 Rooms | 63, 2.14%, see rank | 6.83% | 4.81% |
3 Rooms | 166, 5.65%, see rank | 14.77% | 9.84% |
4 Rooms | 397, 13.51%, see rank | 16.86% | 15.97% |
5 Rooms | 676, 23.00%, see rank | 16.00% | 20.89% |
6 Rooms | 552, 18.78%, see rank | 15.17% | 18.45% |
7 Rooms | 512, 17.42%, see rank | 10.56% | 12.06% |
8 Rooms | 223, 7.59%, see rank | 7.67% | 8.06% |
9 Rooms or More | 350, 11.91%, 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.