13685 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 13685 Zip Code | New York | U.S. |
Total Housing Units | 1,412, 100% | 8,153,309 | 132,741,033 |
1 Room | 62, 4.39%, see rank | 3.74% | 1.95% |
2 Rooms | 93, 6.59%, see rank | 3.69% | 2.48% |
3 Rooms | 136, 9.63%, see rank | 15.28% | 9.13% |
4 Rooms | 268, 18.98%, see rank | 18.50% | 16.60% |
5 Rooms | 208, 14.73%, see rank | 16.75% | 20.41% |
6 Rooms | 143, 10.13%, see rank | 15.01% | 18.06% |
7 Rooms | 143, 10.13%, see rank | 10.26% | 12.27% |
8 Rooms | 189, 13.39%, see rank | 7.56% | 8.48% |
9 Rooms or More | 170, 12.04%, see rank | 9.20% | 10.60% |
Median Rooms | 5.20, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 13685 Zip Code | New York | U.S. |
Total Housing Units | 1,556, 100% | 8,102,223 | 131,642,457 |
1 Room | 3, 0.19%, see rank | 3.74% | 1.95% |
2 Rooms | 26, 1.67%, see rank | 3.56% | 2.36% |
3 Rooms | 166, 10.67%, see rank | 15.00% | 8.97% |
4 Rooms | 268, 17.22%, see rank | 18.37% | 16.57% |
5 Rooms | 300, 19.28%, see rank | 16.69% | 20.41% |
6 Rooms | 260, 16.71%, see rank | 15.16% | 18.25% |
7 Rooms | 173, 11.12%, see rank | 10.40% | 12.38% |
8 Rooms | 165, 10.60%, see rank | 7.73% | 8.59% |
9 Rooms or More | 195, 12.53%, see rank | 9.36% | 10.52% |
Median Rooms | 5.60, see rank | 5.10 | 5.50 |
US Census 2000 data
| 13685 Zip Code | New York | U.S. |
Total Housing Units | 1,358, 100% | 7,679,307 | 115,904,641 |
1 Room | 17, 1.25%, see rank | 4.20% | 2.20% |
2 Rooms | 44, 3.24%, see rank | 6.83% | 4.81% |
3 Rooms | 117, 8.62%, see rank | 14.77% | 9.84% |
4 Rooms | 270, 19.88%, see rank | 16.86% | 15.97% |
5 Rooms | 354, 26.07%, see rank | 16.00% | 20.89% |
6 Rooms | 172, 12.67%, see rank | 15.17% | 18.45% |
7 Rooms | 180, 13.25%, see rank | 10.56% | 12.06% |
8 Rooms | 119, 8.76%, see rank | 7.67% | 8.06% |
9 Rooms or More | 85, 6.26%, see rank | 7.93% | 7.70% |
Median Rooms | 5.20, 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.