32570 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 32570 Zip Code | Florida | U.S. |
Total Housing Units | 12,846, 100% | 9,051,851 | 132,741,033 |
1 Room | 145, 1.13%, see rank | 1.65% | 1.95% |
2 Rooms | 170, 1.32%, see rank | 2.16% | 2.48% |
3 Rooms | 507, 3.95%, see rank | 10.38% | 9.13% |
4 Rooms | 2,360, 18.37%, see rank | 21.92% | 16.60% |
5 Rooms | 3,166, 24.65%, see rank | 23.70% | 20.41% |
6 Rooms | 3,087, 24.03%, see rank | 17.82% | 18.06% |
7 Rooms | 1,625, 12.65%, see rank | 10.59% | 12.27% |
8 Rooms | 1,106, 8.61%, see rank | 6.13% | 8.48% |
9 Rooms or More | 680, 5.29%, see rank | 5.66% | 10.60% |
Median Rooms | 5.50, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 32570 Zip Code | Florida | U.S. |
Total Housing Units | 12,596, 100% | 8,983,414 | 131,642,457 |
1 Room | 72, 0.57%, see rank | 1.60% | 1.95% |
2 Rooms | 175, 1.39%, see rank | 2.07% | 2.36% |
3 Rooms | 839, 6.66%, see rank | 10.10% | 8.97% |
4 Rooms | 2,341, 18.59%, see rank | 21.59% | 16.57% |
5 Rooms | 3,071, 24.38%, see rank | 23.45% | 20.41% |
6 Rooms | 2,749, 21.82%, see rank | 18.16% | 18.25% |
7 Rooms | 1,625, 12.90%, see rank | 10.93% | 12.38% |
8 Rooms | 1,167, 9.26%, see rank | 6.37% | 8.59% |
9 Rooms or More | 557, 4.42%, see rank | 5.73% | 10.52% |
Median Rooms | 5.40, see rank | 5.10 | 5.50 |
US Census 2000 data
| 32570 Zip Code | Florida | U.S. |
Total Housing Units | 10,430, 100% | 7,302,947 | 115,904,641 |
1 Room | 62, 0.59%, see rank | 2.37% | 2.20% |
2 Rooms | 232, 2.22%, see rank | 6.06% | 4.81% |
3 Rooms | 779, 7.47%, see rank | 11.51% | 9.84% |
4 Rooms | 1,691, 16.21%, see rank | 19.42% | 15.97% |
5 Rooms | 2,747, 26.34%, see rank | 22.70% | 20.89% |
6 Rooms | 2,470, 23.68%, see rank | 17.74% | 18.45% |
7 Rooms | 1,344, 12.89%, see rank | 10.60% | 12.06% |
8 Rooms | 602, 5.77%, see rank | 5.76% | 8.06% |
9 Rooms or More | 503, 4.82%, see rank | 3.85% | 7.70% |
Median Rooms | 5.40, 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.