14882 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 14882 Zip Code | New York | U.S. |
Total Housing Units | 1,837, 100% | 8,153,309 | 132,741,033 |
1 Room | 24, 1.31%, see rank | 3.74% | 1.95% |
2 Rooms | 12, 0.65%, see rank | 3.69% | 2.48% |
3 Rooms | 157, 8.55%, see rank | 15.28% | 9.13% |
4 Rooms | 193, 10.51%, see rank | 18.50% | 16.60% |
5 Rooms | 329, 17.91%, see rank | 16.75% | 20.41% |
6 Rooms | 443, 24.12%, see rank | 15.01% | 18.06% |
7 Rooms | 295, 16.06%, see rank | 10.26% | 12.27% |
8 Rooms | 114, 6.21%, see rank | 7.56% | 8.48% |
9 Rooms or More | 270, 14.70%, see rank | 9.20% | 10.60% |
Median Rooms | 6.00, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 14882 Zip Code | New York | U.S. |
Total Housing Units | 1,815, 100% | 8,102,223 | 131,642,457 |
1 Room | 54, 2.98%, see rank | 3.74% | 1.95% |
2 Rooms | 11, 0.61%, see rank | 3.56% | 2.36% |
3 Rooms | 156, 8.60%, see rank | 15.00% | 8.97% |
4 Rooms | 158, 8.71%, see rank | 18.37% | 16.57% |
5 Rooms | 192, 10.58%, see rank | 16.69% | 20.41% |
6 Rooms | 423, 23.31%, see rank | 15.16% | 18.25% |
7 Rooms | 371, 20.44%, see rank | 10.40% | 12.38% |
8 Rooms | 185, 10.19%, see rank | 7.73% | 8.59% |
9 Rooms or More | 265, 14.60%, see rank | 9.36% | 10.52% |
Median Rooms | 6.30, see rank | 5.10 | 5.50 |
US Census 2000 data
| 14882 Zip Code | New York | U.S. |
Total Housing Units | 1,610, 100% | 7,679,307 | 115,904,641 |
1 Room | 34, 2.11%, see rank | 4.20% | 2.20% |
2 Rooms | 64, 3.98%, see rank | 6.83% | 4.81% |
3 Rooms | 100, 6.21%, see rank | 14.77% | 9.84% |
4 Rooms | 224, 13.91%, see rank | 16.86% | 15.97% |
5 Rooms | 305, 18.94%, see rank | 16.00% | 20.89% |
6 Rooms | 395, 24.53%, see rank | 15.17% | 18.45% |
7 Rooms | 195, 12.11%, see rank | 10.56% | 12.06% |
8 Rooms | 112, 6.96%, see rank | 7.67% | 8.06% |
9 Rooms or More | 181, 11.24%, see rank | 7.93% | 7.70% |
Median Rooms | 5.70, 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.