32832 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 32832 Zip Code | Florida | U.S. |
Total Housing Units | 6,170, 100% | 9,051,851 | 132,741,033 |
1 Room | 42, 0.68%, see rank | 1.65% | 1.95% |
2 Rooms | 25, 0.41%, see rank | 2.16% | 2.48% |
3 Rooms | 214, 3.47%, see rank | 10.38% | 9.13% |
4 Rooms | 593, 9.61%, see rank | 21.92% | 16.60% |
5 Rooms | 1,040, 16.86%, see rank | 23.70% | 20.41% |
6 Rooms | 1,168, 18.93%, see rank | 17.82% | 18.06% |
7 Rooms | 1,316, 21.33%, see rank | 10.59% | 12.27% |
8 Rooms | 722, 11.70%, see rank | 6.13% | 8.48% |
9 Rooms or More | 1,050, 17.02%, see rank | 5.66% | 10.60% |
Median Rooms | 6.50, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 32832 Zip Code | Florida | U.S. |
Total Housing Units | 5,674, 100% | 8,983,414 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.60% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 2.07% | 2.36% |
3 Rooms | 124, 2.19%, see rank | 10.10% | 8.97% |
4 Rooms | 579, 10.20%, see rank | 21.59% | 16.57% |
5 Rooms | 871, 15.35%, see rank | 23.45% | 20.41% |
6 Rooms | 985, 17.36%, see rank | 18.16% | 18.25% |
7 Rooms | 1,418, 24.99%, see rank | 10.93% | 12.38% |
8 Rooms | 762, 13.43%, see rank | 6.37% | 8.59% |
9 Rooms or More | 935, 16.48%, see rank | 5.73% | 10.52% |
Median Rooms | 6.70, see rank | 5.10 | 5.50 |
US Census 2000 data
| 32832 Zip Code | Florida | U.S. |
Total Housing Units | 764, 100% | 7,302,947 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 2.37% | 2.20% |
2 Rooms | 13, 1.70%, see rank | 6.06% | 4.81% |
3 Rooms | 50, 6.54%, see rank | 11.51% | 9.84% |
4 Rooms | 114, 14.92%, see rank | 19.42% | 15.97% |
5 Rooms | 100, 13.09%, see rank | 22.70% | 20.89% |
6 Rooms | 166, 21.73%, see rank | 17.74% | 18.45% |
7 Rooms | 130, 17.02%, see rank | 10.60% | 12.06% |
8 Rooms | 81, 10.60%, see rank | 5.76% | 8.06% |
9 Rooms or More | 110, 14.40%, see rank | 3.85% | 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.