14619 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 14619 Zip Code | New York | U.S. |
Total Housing Units | 6,368, 100% | 8,153,309 | 132,741,033 |
1 Room | 23, 0.36%, see rank | 3.74% | 1.95% |
2 Rooms | 52, 0.82%, see rank | 3.69% | 2.48% |
3 Rooms | 293, 4.60%, see rank | 15.28% | 9.13% |
4 Rooms | 428, 6.72%, see rank | 18.50% | 16.60% |
5 Rooms | 894, 14.04%, see rank | 16.75% | 20.41% |
6 Rooms | 2,438, 38.29%, see rank | 15.01% | 18.06% |
7 Rooms | 1,130, 17.74%, see rank | 10.26% | 12.27% |
8 Rooms | 791, 12.42%, see rank | 7.56% | 8.48% |
9 Rooms or More | 319, 5.01%, see rank | 9.20% | 10.60% |
Median Rooms | 6.10, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 14619 Zip Code | New York | U.S. |
Total Housing Units | 6,361, 100% | 8,102,223 | 131,642,457 |
1 Room | 49, 0.77%, see rank | 3.74% | 1.95% |
2 Rooms | 44, 0.69%, see rank | 3.56% | 2.36% |
3 Rooms | 292, 4.59%, see rank | 15.00% | 8.97% |
4 Rooms | 512, 8.05%, see rank | 18.37% | 16.57% |
5 Rooms | 1,072, 16.85%, see rank | 16.69% | 20.41% |
6 Rooms | 2,237, 35.17%, see rank | 15.16% | 18.25% |
7 Rooms | 1,114, 17.51%, see rank | 10.40% | 12.38% |
8 Rooms | 714, 11.22%, see rank | 7.73% | 8.59% |
9 Rooms or More | 327, 5.14%, see rank | 9.36% | 10.52% |
Median Rooms | 6.00, see rank | 5.10 | 5.50 |
US Census 2000 data
| 14619 Zip Code | New York | U.S. |
Total Housing Units | 5,886, 100% | 7,679,307 | 115,904,641 |
1 Room | 46, 0.78%, see rank | 4.20% | 2.20% |
2 Rooms | 114, 1.94%, see rank | 6.83% | 4.81% |
3 Rooms | 273, 4.64%, see rank | 14.77% | 9.84% |
4 Rooms | 383, 6.51%, see rank | 16.86% | 15.97% |
5 Rooms | 833, 14.15%, see rank | 16.00% | 20.89% |
6 Rooms | 2,270, 38.57%, see rank | 15.17% | 18.45% |
7 Rooms | 984, 16.72%, see rank | 10.56% | 12.06% |
8 Rooms | 662, 11.25%, see rank | 7.67% | 8.06% |
9 Rooms or More | 321, 5.45%, 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.