14502 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 14502 Zip Code | New York | U.S. |
Total Housing Units | 4,107, 100% | 8,153,309 | 132,741,033 |
1 Room | 39, 0.95%, see rank | 3.74% | 1.95% |
2 Rooms | 21, 0.51%, see rank | 3.69% | 2.48% |
3 Rooms | 221, 5.38%, see rank | 15.28% | 9.13% |
4 Rooms | 515, 12.54%, see rank | 18.50% | 16.60% |
5 Rooms | 688, 16.75%, see rank | 16.75% | 20.41% |
6 Rooms | 698, 17.00%, see rank | 15.01% | 18.06% |
7 Rooms | 930, 22.64%, see rank | 10.26% | 12.27% |
8 Rooms | 420, 10.23%, see rank | 7.56% | 8.48% |
9 Rooms or More | 575, 14.00%, see rank | 9.20% | 10.60% |
Median Rooms | 6.30, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 14502 Zip Code | New York | U.S. |
Total Housing Units | 4,137, 100% | 8,102,223 | 131,642,457 |
1 Room | 38, 0.92%, see rank | 3.74% | 1.95% |
2 Rooms | 40, 0.97%, see rank | 3.56% | 2.36% |
3 Rooms | 242, 5.85%, see rank | 15.00% | 8.97% |
4 Rooms | 527, 12.74%, see rank | 18.37% | 16.57% |
5 Rooms | 712, 17.21%, see rank | 16.69% | 20.41% |
6 Rooms | 716, 17.31%, see rank | 15.16% | 18.25% |
7 Rooms | 851, 20.57%, see rank | 10.40% | 12.38% |
8 Rooms | 451, 10.90%, see rank | 7.73% | 8.59% |
9 Rooms or More | 560, 13.54%, see rank | 9.36% | 10.52% |
Median Rooms | 6.20, see rank | 5.10 | 5.50 |
US Census 2000 data
| 14502 Zip Code | New York | U.S. |
Total Housing Units | 3,466, 100% | 7,679,307 | 115,904,641 |
1 Room | 2, 0.06%, see rank | 4.20% | 2.20% |
2 Rooms | 28, 0.81%, see rank | 6.83% | 4.81% |
3 Rooms | 185, 5.34%, see rank | 14.77% | 9.84% |
4 Rooms | 398, 11.48%, see rank | 16.86% | 15.97% |
5 Rooms | 656, 18.93%, see rank | 16.00% | 20.89% |
6 Rooms | 722, 20.83%, see rank | 15.17% | 18.45% |
7 Rooms | 629, 18.15%, see rank | 10.56% | 12.06% |
8 Rooms | 512, 14.77%, see rank | 7.67% | 8.06% |
9 Rooms or More | 334, 9.64%, 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.