14432 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 14432 Zip Code | New York | U.S. |
Total Housing Units | 2,461, 100% | 8,153,309 | 132,741,033 |
1 Room | 48, 1.95%, see rank | 3.74% | 1.95% |
2 Rooms | 52, 2.11%, see rank | 3.69% | 2.48% |
3 Rooms | 125, 5.08%, see rank | 15.28% | 9.13% |
4 Rooms | 253, 10.28%, see rank | 18.50% | 16.60% |
5 Rooms | 411, 16.70%, see rank | 16.75% | 20.41% |
6 Rooms | 471, 19.14%, see rank | 15.01% | 18.06% |
7 Rooms | 469, 19.06%, see rank | 10.26% | 12.27% |
8 Rooms | 312, 12.68%, see rank | 7.56% | 8.48% |
9 Rooms or More | 320, 13.00%, see rank | 9.20% | 10.60% |
Median Rooms | 6.20, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 14432 Zip Code | New York | U.S. |
Total Housing Units | 2,363, 100% | 8,102,223 | 131,642,457 |
1 Room | 63, 2.67%, see rank | 3.74% | 1.95% |
2 Rooms | 64, 2.71%, see rank | 3.56% | 2.36% |
3 Rooms | 192, 8.13%, see rank | 15.00% | 8.97% |
4 Rooms | 197, 8.34%, see rank | 18.37% | 16.57% |
5 Rooms | 251, 10.62%, see rank | 16.69% | 20.41% |
6 Rooms | 488, 20.65%, see rank | 15.16% | 18.25% |
7 Rooms | 480, 20.31%, see rank | 10.40% | 12.38% |
8 Rooms | 284, 12.02%, see rank | 7.73% | 8.59% |
9 Rooms or More | 344, 14.56%, see rank | 9.36% | 10.52% |
Median Rooms | 6.30, see rank | 5.10 | 5.50 |
US Census 2000 data
| 14432 Zip Code | New York | U.S. |
Total Housing Units | 2,412, 100% | 7,679,307 | 115,904,641 |
1 Room | 82, 3.40%, see rank | 4.20% | 2.20% |
2 Rooms | 50, 2.07%, see rank | 6.83% | 4.81% |
3 Rooms | 158, 6.55%, see rank | 14.77% | 9.84% |
4 Rooms | 364, 15.09%, see rank | 16.86% | 15.97% |
5 Rooms | 491, 20.36%, see rank | 16.00% | 20.89% |
6 Rooms | 474, 19.65%, see rank | 15.17% | 18.45% |
7 Rooms | 326, 13.52%, see rank | 10.56% | 12.06% |
8 Rooms | 233, 9.66%, see rank | 7.67% | 8.06% |
9 Rooms or More | 234, 9.70%, see rank | 7.93% | 7.70% |
Median Rooms | 5.60, 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.