14062 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 14062 Zip Code | New York | U.S. |
Total Housing Units | 1,548, 100% | 8,153,309 | 132,741,033 |
1 Room | 18, 1.16%, see rank | 3.74% | 1.95% |
2 Rooms | 11, 0.71%, see rank | 3.69% | 2.48% |
3 Rooms | 66, 4.26%, see rank | 15.28% | 9.13% |
4 Rooms | 242, 15.63%, see rank | 18.50% | 16.60% |
5 Rooms | 316, 20.41%, see rank | 16.75% | 20.41% |
6 Rooms | 248, 16.02%, see rank | 15.01% | 18.06% |
7 Rooms | 206, 13.31%, see rank | 10.26% | 12.27% |
8 Rooms | 200, 12.92%, see rank | 7.56% | 8.48% |
9 Rooms or More | 241, 15.57%, see rank | 9.20% | 10.60% |
Median Rooms | 6.00, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 14062 Zip Code | New York | U.S. |
Total Housing Units | 1,513, 100% | 8,102,223 | 131,642,457 |
1 Room | 28, 1.85%, see rank | 3.74% | 1.95% |
2 Rooms | 8, 0.53%, see rank | 3.56% | 2.36% |
3 Rooms | 36, 2.38%, see rank | 15.00% | 8.97% |
4 Rooms | 233, 15.40%, see rank | 18.37% | 16.57% |
5 Rooms | 244, 16.13%, see rank | 16.69% | 20.41% |
6 Rooms | 254, 16.79%, see rank | 15.16% | 18.25% |
7 Rooms | 259, 17.12%, see rank | 10.40% | 12.38% |
8 Rooms | 222, 14.67%, see rank | 7.73% | 8.59% |
9 Rooms or More | 229, 15.14%, see rank | 9.36% | 10.52% |
Median Rooms | 6.30, see rank | 5.10 | 5.50 |
US Census 2000 data
| 14062 Zip Code | New York | U.S. |
Total Housing Units | 1,398, 100% | 7,679,307 | 115,904,641 |
1 Room | 3, 0.21%, see rank | 4.20% | 2.20% |
2 Rooms | 8, 0.57%, see rank | 6.83% | 4.81% |
3 Rooms | 61, 4.36%, see rank | 14.77% | 9.84% |
4 Rooms | 146, 10.44%, see rank | 16.86% | 15.97% |
5 Rooms | 306, 21.89%, see rank | 16.00% | 20.89% |
6 Rooms | 239, 17.10%, see rank | 15.17% | 18.45% |
7 Rooms | 254, 18.17%, see rank | 10.56% | 12.06% |
8 Rooms | 206, 14.74%, see rank | 7.67% | 8.06% |
9 Rooms or More | 175, 12.52%, see rank | 7.93% | 7.70% |
Median Rooms | 6.20, 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.