10044 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 10044 Zip Code | New York | U.S. |
Total Housing Units | 5,203, 100% | 8,153,309 | 132,741,033 |
1 Room | 911, 17.51%, see rank | 3.74% | 1.95% |
2 Rooms | 450, 8.65%, see rank | 3.69% | 2.48% |
3 Rooms | 1,443, 27.73%, see rank | 15.28% | 9.13% |
4 Rooms | 1,438, 27.64%, see rank | 18.50% | 16.60% |
5 Rooms | 687, 13.20%, see rank | 16.75% | 20.41% |
6 Rooms | 206, 3.96%, see rank | 15.01% | 18.06% |
7 Rooms | 47, 0.90%, see rank | 10.26% | 12.27% |
8 Rooms | 21, 0.40%, see rank | 7.56% | 8.48% |
9 Rooms or More | 0, 0.00%, see rank | 9.20% | 10.60% |
Median Rooms | 3.40, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 10044 Zip Code | New York | U.S. |
Total Housing Units | 4,743, 100% | 8,102,223 | 131,642,457 |
1 Room | 780, 16.45%, see rank | 3.74% | 1.95% |
2 Rooms | 358, 7.55%, see rank | 3.56% | 2.36% |
3 Rooms | 1,408, 29.69%, see rank | 15.00% | 8.97% |
4 Rooms | 1,370, 28.88%, see rank | 18.37% | 16.57% |
5 Rooms | 581, 12.25%, see rank | 16.69% | 20.41% |
6 Rooms | 185, 3.90%, see rank | 15.16% | 18.25% |
7 Rooms | 38, 0.80%, see rank | 10.40% | 12.38% |
8 Rooms | 23, 0.48%, see rank | 7.73% | 8.59% |
9 Rooms or More | 0, 0.00%, see rank | 9.36% | 10.52% |
Median Rooms | 3.40, see rank | 5.10 | 5.50 |
US Census 2000 data
| 10044 Zip Code | New York | U.S. |
Total Housing Units | 3,252, 100% | 7,679,307 | 115,904,641 |
1 Room | 235, 7.23%, see rank | 4.20% | 2.20% |
2 Rooms | 510, 15.68%, see rank | 6.83% | 4.81% |
3 Rooms | 932, 28.66%, see rank | 14.77% | 9.84% |
4 Rooms | 841, 25.86%, see rank | 16.86% | 15.97% |
5 Rooms | 476, 14.64%, see rank | 16.00% | 20.89% |
6 Rooms | 190, 5.84%, see rank | 15.17% | 18.45% |
7 Rooms | 58, 1.78%, see rank | 10.56% | 12.06% |
8 Rooms | 10, 0.31%, see rank | 7.67% | 8.06% |
9 Rooms or More | 0, 0.00%, see rank | 7.93% | 7.70% |
Median Rooms | 3.40, 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.