14903 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 14903 Zip Code | New York | U.S. |
Total Housing Units | 3,259, 100% | 8,153,309 | 132,741,033 |
1 Room | 46, 1.41%, see rank | 3.74% | 1.95% |
2 Rooms | 29, 0.89%, see rank | 3.69% | 2.48% |
3 Rooms | 257, 7.89%, see rank | 15.28% | 9.13% |
4 Rooms | 512, 15.71%, see rank | 18.50% | 16.60% |
5 Rooms | 526, 16.14%, see rank | 16.75% | 20.41% |
6 Rooms | 597, 18.32%, see rank | 15.01% | 18.06% |
7 Rooms | 341, 10.46%, see rank | 10.26% | 12.27% |
8 Rooms | 411, 12.61%, see rank | 7.56% | 8.48% |
9 Rooms or More | 540, 16.57%, see rank | 9.20% | 10.60% |
Median Rooms | 5.90, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 14903 Zip Code | New York | U.S. |
Total Housing Units | 3,512, 100% | 8,102,223 | 131,642,457 |
1 Room | 119, 3.39%, see rank | 3.74% | 1.95% |
2 Rooms | 21, 0.60%, see rank | 3.56% | 2.36% |
3 Rooms | 367, 10.45%, see rank | 15.00% | 8.97% |
4 Rooms | 404, 11.50%, see rank | 18.37% | 16.57% |
5 Rooms | 637, 18.14%, see rank | 16.69% | 20.41% |
6 Rooms | 664, 18.91%, see rank | 15.16% | 18.25% |
7 Rooms | 441, 12.56%, see rank | 10.40% | 12.38% |
8 Rooms | 427, 12.16%, see rank | 7.73% | 8.59% |
9 Rooms or More | 432, 12.30%, see rank | 9.36% | 10.52% |
Median Rooms | 5.80, see rank | 5.10 | 5.50 |
US Census 2000 data
| 14903 Zip Code | New York | U.S. |
Total Housing Units | 3,443, 100% | 7,679,307 | 115,904,641 |
1 Room | 15, 0.44%, see rank | 4.20% | 2.20% |
2 Rooms | 108, 3.14%, see rank | 6.83% | 4.81% |
3 Rooms | 310, 9.00%, see rank | 14.77% | 9.84% |
4 Rooms | 537, 15.60%, see rank | 16.86% | 15.97% |
5 Rooms | 611, 17.75%, see rank | 16.00% | 20.89% |
6 Rooms | 592, 17.19%, see rank | 15.17% | 18.45% |
7 Rooms | 551, 16.00%, see rank | 10.56% | 12.06% |
8 Rooms | 366, 10.63%, see rank | 7.67% | 8.06% |
9 Rooms or More | 353, 10.25%, 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.