32779 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 32779 Zip Code | Florida | U.S. |
Total Housing Units | 11,421, 100% | 9,051,851 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.65% | 1.95% |
2 Rooms | 76, 0.67%, see rank | 2.16% | 2.48% |
3 Rooms | 440, 3.85%, see rank | 10.38% | 9.13% |
4 Rooms | 1,438, 12.59%, see rank | 21.92% | 16.60% |
5 Rooms | 1,514, 13.26%, see rank | 23.70% | 20.41% |
6 Rooms | 1,408, 12.33%, see rank | 17.82% | 18.06% |
7 Rooms | 1,753, 15.35%, see rank | 10.59% | 12.27% |
8 Rooms | 2,165, 18.96%, see rank | 6.13% | 8.48% |
9 Rooms or More | 2,627, 23.00%, see rank | 5.66% | 10.60% |
Median Rooms | 7.00, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 32779 Zip Code | Florida | U.S. |
Total Housing Units | 11,520, 100% | 8,983,414 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.60% | 1.95% |
2 Rooms | 53, 0.46%, see rank | 2.07% | 2.36% |
3 Rooms | 530, 4.60%, see rank | 10.10% | 8.97% |
4 Rooms | 1,555, 13.50%, see rank | 21.59% | 16.57% |
5 Rooms | 1,439, 12.49%, see rank | 23.45% | 20.41% |
6 Rooms | 1,296, 11.25%, see rank | 18.16% | 18.25% |
7 Rooms | 1,790, 15.54%, see rank | 10.93% | 12.38% |
8 Rooms | 2,065, 17.93%, see rank | 6.37% | 8.59% |
9 Rooms or More | 2,792, 24.24%, see rank | 5.73% | 10.52% |
Median Rooms | 7.00, see rank | 5.10 | 5.50 |
US Census 2000 data
| 32779 Zip Code | Florida | U.S. |
Total Housing Units | 11,172, 100% | 7,302,947 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 2.37% | 2.20% |
2 Rooms | 111, 0.99%, see rank | 6.06% | 4.81% |
3 Rooms | 405, 3.63%, see rank | 11.51% | 9.84% |
4 Rooms | 998, 8.93%, see rank | 19.42% | 15.97% |
5 Rooms | 1,418, 12.69%, see rank | 22.70% | 20.89% |
6 Rooms | 1,350, 12.08%, see rank | 17.74% | 18.45% |
7 Rooms | 2,005, 17.95%, see rank | 10.60% | 12.06% |
8 Rooms | 2,537, 22.71%, see rank | 5.76% | 8.06% |
9 Rooms or More | 2,348, 21.02%, see rank | 3.85% | 7.70% |
Median Rooms | 7.20, 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.