14303 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 14303 Zip Code | New York | U.S. |
Total Housing Units | 3,619, 100% | 8,153,309 | 132,741,033 |
1 Room | 12, 0.33%, see rank | 3.74% | 1.95% |
2 Rooms | 34, 0.94%, see rank | 3.69% | 2.48% |
3 Rooms | 215, 5.94%, see rank | 15.28% | 9.13% |
4 Rooms | 793, 21.91%, see rank | 18.50% | 16.60% |
5 Rooms | 862, 23.82%, see rank | 16.75% | 20.41% |
6 Rooms | 766, 21.17%, see rank | 15.01% | 18.06% |
7 Rooms | 391, 10.80%, see rank | 10.26% | 12.27% |
8 Rooms | 216, 5.97%, see rank | 7.56% | 8.48% |
9 Rooms or More | 330, 9.12%, see rank | 9.20% | 10.60% |
Median Rooms | 5.40, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 14303 Zip Code | New York | U.S. |
Total Housing Units | 3,679, 100% | 8,102,223 | 131,642,457 |
1 Room | 40, 1.09%, see rank | 3.74% | 1.95% |
2 Rooms | 11, 0.30%, see rank | 3.56% | 2.36% |
3 Rooms | 230, 6.25%, see rank | 15.00% | 8.97% |
4 Rooms | 789, 21.45%, see rank | 18.37% | 16.57% |
5 Rooms | 1,110, 30.17%, see rank | 16.69% | 20.41% |
6 Rooms | 590, 16.04%, see rank | 15.16% | 18.25% |
7 Rooms | 339, 9.21%, see rank | 10.40% | 12.38% |
8 Rooms | 246, 6.69%, see rank | 7.73% | 8.59% |
9 Rooms or More | 324, 8.81%, see rank | 9.36% | 10.52% |
Median Rooms | 5.20, see rank | 5.10 | 5.50 |
US Census 2000 data
| 14303 Zip Code | New York | U.S. |
Total Housing Units | 4,135, 100% | 7,679,307 | 115,904,641 |
1 Room | 82, 1.98%, see rank | 4.20% | 2.20% |
2 Rooms | 151, 3.65%, see rank | 6.83% | 4.81% |
3 Rooms | 421, 10.18%, see rank | 14.77% | 9.84% |
4 Rooms | 1,033, 24.98%, see rank | 16.86% | 15.97% |
5 Rooms | 1,021, 24.69%, see rank | 16.00% | 20.89% |
6 Rooms | 758, 18.33%, see rank | 15.17% | 18.45% |
7 Rooms | 214, 5.18%, see rank | 10.56% | 12.06% |
8 Rooms | 203, 4.91%, see rank | 7.67% | 8.06% |
9 Rooms or More | 252, 6.09%, see rank | 7.93% | 7.70% |
Median Rooms | 4.90, 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.