14009 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 14009 Zip Code | New York | U.S. |
Total Housing Units | 2,806, 100% | 8,153,309 | 132,741,033 |
1 Room | 39, 1.39%, see rank | 3.74% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 3.69% | 2.48% |
3 Rooms | 180, 6.41%, see rank | 15.28% | 9.13% |
4 Rooms | 484, 17.25%, see rank | 18.50% | 16.60% |
5 Rooms | 492, 17.53%, see rank | 16.75% | 20.41% |
6 Rooms | 550, 19.60%, see rank | 15.01% | 18.06% |
7 Rooms | 343, 12.22%, see rank | 10.26% | 12.27% |
8 Rooms | 385, 13.72%, see rank | 7.56% | 8.48% |
9 Rooms or More | 333, 11.87%, see rank | 9.20% | 10.60% |
Median Rooms | 5.90, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 14009 Zip Code | New York | U.S. |
Total Housing Units | 2,803, 100% | 8,102,223 | 131,642,457 |
1 Room | 34, 1.21%, see rank | 3.74% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 3.56% | 2.36% |
3 Rooms | 248, 8.85%, see rank | 15.00% | 8.97% |
4 Rooms | 373, 13.31%, see rank | 18.37% | 16.57% |
5 Rooms | 546, 19.48%, see rank | 16.69% | 20.41% |
6 Rooms | 565, 20.16%, see rank | 15.16% | 18.25% |
7 Rooms | 334, 11.92%, see rank | 10.40% | 12.38% |
8 Rooms | 390, 13.91%, see rank | 7.73% | 8.59% |
9 Rooms or More | 313, 11.17%, see rank | 9.36% | 10.52% |
Median Rooms | 5.90, see rank | 5.10 | 5.50 |
US Census 2000 data
| 14009 Zip Code | New York | U.S. |
Total Housing Units | 2,700, 100% | 7,679,307 | 115,904,641 |
1 Room | 47, 1.74%, see rank | 4.20% | 2.20% |
2 Rooms | 67, 2.48%, see rank | 6.83% | 4.81% |
3 Rooms | 182, 6.74%, see rank | 14.77% | 9.84% |
4 Rooms | 384, 14.22%, see rank | 16.86% | 15.97% |
5 Rooms | 627, 23.22%, see rank | 16.00% | 20.89% |
6 Rooms | 546, 20.22%, see rank | 15.17% | 18.45% |
7 Rooms | 339, 12.56%, see rank | 10.56% | 12.06% |
8 Rooms | 270, 10.00%, see rank | 7.67% | 8.06% |
9 Rooms or More | 238, 8.81%, 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.