14036 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 14036 Zip Code | New York | U.S. |
Total Housing Units | 2,334, 100% | 8,153,309 | 132,741,033 |
1 Room | 75, 3.21%, see rank | 3.74% | 1.95% |
2 Rooms | 5, 0.21%, see rank | 3.69% | 2.48% |
3 Rooms | 75, 3.21%, see rank | 15.28% | 9.13% |
4 Rooms | 246, 10.54%, see rank | 18.50% | 16.60% |
5 Rooms | 289, 12.38%, see rank | 16.75% | 20.41% |
6 Rooms | 580, 24.85%, see rank | 15.01% | 18.06% |
7 Rooms | 405, 17.35%, see rank | 10.26% | 12.27% |
8 Rooms | 268, 11.48%, see rank | 7.56% | 8.48% |
9 Rooms or More | 391, 16.75%, see rank | 9.20% | 10.60% |
Median Rooms | 6.30, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 14036 Zip Code | New York | U.S. |
Total Housing Units | 2,254, 100% | 8,102,223 | 131,642,457 |
1 Room | 70, 3.11%, see rank | 3.74% | 1.95% |
2 Rooms | 33, 1.46%, see rank | 3.56% | 2.36% |
3 Rooms | 112, 4.97%, see rank | 15.00% | 8.97% |
4 Rooms | 310, 13.75%, see rank | 18.37% | 16.57% |
5 Rooms | 410, 18.19%, see rank | 16.69% | 20.41% |
6 Rooms | 451, 20.01%, see rank | 15.16% | 18.25% |
7 Rooms | 339, 15.04%, see rank | 10.40% | 12.38% |
8 Rooms | 238, 10.56%, see rank | 7.73% | 8.59% |
9 Rooms or More | 291, 12.91%, see rank | 9.36% | 10.52% |
Median Rooms | 5.90, see rank | 5.10 | 5.50 |
US Census 2000 data
| 14036 Zip Code | New York | U.S. |
Total Housing Units | 2,041, 100% | 7,679,307 | 115,904,641 |
1 Room | 3, 0.15%, see rank | 4.20% | 2.20% |
2 Rooms | 29, 1.42%, see rank | 6.83% | 4.81% |
3 Rooms | 104, 5.10%, see rank | 14.77% | 9.84% |
4 Rooms | 166, 8.13%, see rank | 16.86% | 15.97% |
5 Rooms | 459, 22.49%, see rank | 16.00% | 20.89% |
6 Rooms | 462, 22.64%, see rank | 15.17% | 18.45% |
7 Rooms | 367, 17.98%, see rank | 10.56% | 12.06% |
8 Rooms | 203, 9.95%, see rank | 7.67% | 8.06% |
9 Rooms or More | 248, 12.15%, see rank | 7.93% | 7.70% |
Median Rooms | 6.10, 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.