33823 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 33823 Zip Code | Florida | U.S. |
Total Housing Units | 12,350, 100% | 9,051,851 | 132,741,033 |
1 Room | 129, 1.04%, see rank | 1.65% | 1.95% |
2 Rooms | 161, 1.30%, see rank | 2.16% | 2.48% |
3 Rooms | 704, 5.70%, see rank | 10.38% | 9.13% |
4 Rooms | 2,007, 16.25%, see rank | 21.92% | 16.60% |
5 Rooms | 3,235, 26.19%, see rank | 23.70% | 20.41% |
6 Rooms | 2,752, 22.28%, see rank | 17.82% | 18.06% |
7 Rooms | 1,612, 13.05%, see rank | 10.59% | 12.27% |
8 Rooms | 1,183, 9.58%, see rank | 6.13% | 8.48% |
9 Rooms or More | 567, 4.59%, see rank | 5.66% | 10.60% |
Median Rooms | 5.50, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 33823 Zip Code | Florida | U.S. |
Total Housing Units | 12,015, 100% | 8,983,414 | 131,642,457 |
1 Room | 93, 0.77%, see rank | 1.60% | 1.95% |
2 Rooms | 128, 1.07%, see rank | 2.07% | 2.36% |
3 Rooms | 718, 5.98%, see rank | 10.10% | 8.97% |
4 Rooms | 2,378, 19.79%, see rank | 21.59% | 16.57% |
5 Rooms | 2,794, 23.25%, see rank | 23.45% | 20.41% |
6 Rooms | 2,633, 21.91%, see rank | 18.16% | 18.25% |
7 Rooms | 1,434, 11.94%, see rank | 10.93% | 12.38% |
8 Rooms | 1,119, 9.31%, see rank | 6.37% | 8.59% |
9 Rooms or More | 718, 5.98%, see rank | 5.73% | 10.52% |
Median Rooms | 5.50, see rank | 5.10 | 5.50 |
US Census 2000 data
| 33823 Zip Code | Florida | U.S. |
Total Housing Units | 11,465, 100% | 7,302,947 | 115,904,641 |
1 Room | 56, 0.49%, see rank | 2.37% | 2.20% |
2 Rooms | 295, 2.57%, see rank | 6.06% | 4.81% |
3 Rooms | 862, 7.52%, see rank | 11.51% | 9.84% |
4 Rooms | 2,297, 20.03%, see rank | 19.42% | 15.97% |
5 Rooms | 3,110, 27.13%, see rank | 22.70% | 20.89% |
6 Rooms | 2,515, 21.94%, see rank | 17.74% | 18.45% |
7 Rooms | 1,308, 11.41%, see rank | 10.60% | 12.06% |
8 Rooms | 689, 6.01%, see rank | 5.76% | 8.06% |
9 Rooms or More | 333, 2.90%, see rank | 3.85% | 7.70% |
Median Rooms | 5.20, 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.