14042 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 14042 Zip Code | New York | U.S. |
Total Housing Units | 1,931, 100% | 8,153,309 | 132,741,033 |
1 Room | 15, 0.78%, see rank | 3.74% | 1.95% |
2 Rooms | 30, 1.55%, see rank | 3.69% | 2.48% |
3 Rooms | 146, 7.56%, see rank | 15.28% | 9.13% |
4 Rooms | 414, 21.44%, see rank | 18.50% | 16.60% |
5 Rooms | 496, 25.69%, see rank | 16.75% | 20.41% |
6 Rooms | 260, 13.46%, see rank | 15.01% | 18.06% |
7 Rooms | 250, 12.95%, see rank | 10.26% | 12.27% |
8 Rooms | 93, 4.82%, see rank | 7.56% | 8.48% |
9 Rooms or More | 227, 11.76%, see rank | 9.20% | 10.60% |
Median Rooms | 5.20, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 14042 Zip Code | New York | U.S. |
Total Housing Units | 1,908, 100% | 8,102,223 | 131,642,457 |
1 Room | 36, 1.89%, see rank | 3.74% | 1.95% |
2 Rooms | 35, 1.83%, see rank | 3.56% | 2.36% |
3 Rooms | 166, 8.70%, see rank | 15.00% | 8.97% |
4 Rooms | 296, 15.51%, see rank | 18.37% | 16.57% |
5 Rooms | 417, 21.86%, see rank | 16.69% | 20.41% |
6 Rooms | 359, 18.82%, see rank | 15.16% | 18.25% |
7 Rooms | 259, 13.57%, see rank | 10.40% | 12.38% |
8 Rooms | 133, 6.97%, see rank | 7.73% | 8.59% |
9 Rooms or More | 207, 10.85%, see rank | 9.36% | 10.52% |
Median Rooms | 5.50, see rank | 5.10 | 5.50 |
US Census 2000 data
| 14042 Zip Code | New York | U.S. |
Total Housing Units | 2,143, 100% | 7,679,307 | 115,904,641 |
1 Room | 37, 1.73%, see rank | 4.20% | 2.20% |
2 Rooms | 36, 1.68%, see rank | 6.83% | 4.81% |
3 Rooms | 155, 7.23%, see rank | 14.77% | 9.84% |
4 Rooms | 415, 19.37%, see rank | 16.86% | 15.97% |
5 Rooms | 564, 26.32%, see rank | 16.00% | 20.89% |
6 Rooms | 407, 18.99%, see rank | 15.17% | 18.45% |
7 Rooms | 258, 12.04%, see rank | 10.56% | 12.06% |
8 Rooms | 107, 4.99%, see rank | 7.67% | 8.06% |
9 Rooms or More | 164, 7.65%, see rank | 7.93% | 7.70% |
Median Rooms | 5.30, 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.