12803 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 12803 Zip Code | New York | U.S. |
Total Housing Units | 3,436, 100% | 8,153,309 | 132,741,033 |
1 Room | 43, 1.25%, see rank | 3.74% | 1.95% |
2 Rooms | 84, 2.44%, see rank | 3.69% | 2.48% |
3 Rooms | 246, 7.16%, see rank | 15.28% | 9.13% |
4 Rooms | 485, 14.12%, see rank | 18.50% | 16.60% |
5 Rooms | 747, 21.74%, see rank | 16.75% | 20.41% |
6 Rooms | 692, 20.14%, see rank | 15.01% | 18.06% |
7 Rooms | 479, 13.94%, see rank | 10.26% | 12.27% |
8 Rooms | 334, 9.72%, see rank | 7.56% | 8.48% |
9 Rooms or More | 326, 9.49%, see rank | 9.20% | 10.60% |
Median Rooms | 5.70, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 12803 Zip Code | New York | U.S. |
Total Housing Units | 3,404, 100% | 8,102,223 | 131,642,457 |
1 Room | 36, 1.06%, see rank | 3.74% | 1.95% |
2 Rooms | 70, 2.06%, see rank | 3.56% | 2.36% |
3 Rooms | 201, 5.90%, see rank | 15.00% | 8.97% |
4 Rooms | 456, 13.40%, see rank | 18.37% | 16.57% |
5 Rooms | 708, 20.80%, see rank | 16.69% | 20.41% |
6 Rooms | 716, 21.03%, see rank | 15.16% | 18.25% |
7 Rooms | 539, 15.83%, see rank | 10.40% | 12.38% |
8 Rooms | 313, 9.20%, see rank | 7.73% | 8.59% |
9 Rooms or More | 365, 10.72%, see rank | 9.36% | 10.52% |
Median Rooms | 5.80, see rank | 5.10 | 5.50 |
US Census 2000 data
| 12803 Zip Code | New York | U.S. |
Total Housing Units | 3,189, 100% | 7,679,307 | 115,904,641 |
1 Room | 7, 0.22%, see rank | 4.20% | 2.20% |
2 Rooms | 80, 2.51%, see rank | 6.83% | 4.81% |
3 Rooms | 253, 7.93%, see rank | 14.77% | 9.84% |
4 Rooms | 377, 11.82%, see rank | 16.86% | 15.97% |
5 Rooms | 833, 26.12%, see rank | 16.00% | 20.89% |
6 Rooms | 790, 24.77%, see rank | 15.17% | 18.45% |
7 Rooms | 434, 13.61%, see rank | 10.56% | 12.06% |
8 Rooms | 232, 7.28%, see rank | 7.67% | 8.06% |
9 Rooms or More | 183, 5.74%, see rank | 7.93% | 7.70% |
Median Rooms | 5.60, 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.