32533 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 32533 Zip Code | Florida | U.S. |
Total Housing Units | 10,654, 100% | 9,051,851 | 132,741,033 |
1 Room | 120, 1.13%, see rank | 1.65% | 1.95% |
2 Rooms | 44, 0.41%, see rank | 2.16% | 2.48% |
3 Rooms | 127, 1.19%, see rank | 10.38% | 9.13% |
4 Rooms | 1,426, 13.38%, see rank | 21.92% | 16.60% |
5 Rooms | 1,978, 18.57%, see rank | 23.70% | 20.41% |
6 Rooms | 2,392, 22.45%, see rank | 17.82% | 18.06% |
7 Rooms | 2,021, 18.97%, see rank | 10.59% | 12.27% |
8 Rooms | 1,460, 13.70%, see rank | 6.13% | 8.48% |
9 Rooms or More | 1,086, 10.19%, see rank | 5.66% | 10.60% |
Median Rooms | 6.20, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 32533 Zip Code | Florida | U.S. |
Total Housing Units | 10,648, 100% | 8,983,414 | 131,642,457 |
1 Room | 89, 0.84%, see rank | 1.60% | 1.95% |
2 Rooms | 35, 0.33%, see rank | 2.07% | 2.36% |
3 Rooms | 173, 1.62%, see rank | 10.10% | 8.97% |
4 Rooms | 1,416, 13.30%, see rank | 21.59% | 16.57% |
5 Rooms | 2,127, 19.98%, see rank | 23.45% | 20.41% |
6 Rooms | 2,737, 25.70%, see rank | 18.16% | 18.25% |
7 Rooms | 1,703, 15.99%, see rank | 10.93% | 12.38% |
8 Rooms | 1,121, 10.53%, see rank | 6.37% | 8.59% |
9 Rooms or More | 1,247, 11.71%, see rank | 5.73% | 10.52% |
Median Rooms | 6.00, see rank | 5.10 | 5.50 |
US Census 2000 data
| 32533 Zip Code | Florida | U.S. |
Total Housing Units | 9,029, 100% | 7,302,947 | 115,904,641 |
1 Room | 44, 0.49%, see rank | 2.37% | 2.20% |
2 Rooms | 95, 1.05%, see rank | 6.06% | 4.81% |
3 Rooms | 291, 3.22%, see rank | 11.51% | 9.84% |
4 Rooms | 950, 10.52%, see rank | 19.42% | 15.97% |
5 Rooms | 1,809, 20.04%, see rank | 22.70% | 20.89% |
6 Rooms | 2,239, 24.80%, see rank | 17.74% | 18.45% |
7 Rooms | 1,740, 19.27%, see rank | 10.60% | 12.06% |
8 Rooms | 1,086, 12.03%, see rank | 5.76% | 8.06% |
9 Rooms or More | 775, 8.58%, 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.