33884 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 33884 Zip Code | Florida | U.S. |
Total Housing Units | 14,382, 100% | 9,051,851 | 132,741,033 |
1 Room | 50, 0.35%, see rank | 1.65% | 1.95% |
2 Rooms | 160, 1.11%, see rank | 2.16% | 2.48% |
3 Rooms | 495, 3.44%, see rank | 10.38% | 9.13% |
4 Rooms | 2,189, 15.22%, see rank | 21.92% | 16.60% |
5 Rooms | 3,872, 26.92%, see rank | 23.70% | 20.41% |
6 Rooms | 3,758, 26.13%, see rank | 17.82% | 18.06% |
7 Rooms | 1,773, 12.33%, see rank | 10.59% | 12.27% |
8 Rooms | 1,028, 7.15%, see rank | 6.13% | 8.48% |
9 Rooms or More | 1,057, 7.35%, see rank | 5.66% | 10.60% |
Median Rooms | 5.60, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 33884 Zip Code | Florida | U.S. |
Total Housing Units | 13,927, 100% | 8,983,414 | 131,642,457 |
1 Room | 88, 0.63%, see rank | 1.60% | 1.95% |
2 Rooms | 207, 1.49%, see rank | 2.07% | 2.36% |
3 Rooms | 597, 4.29%, see rank | 10.10% | 8.97% |
4 Rooms | 2,618, 18.80%, see rank | 21.59% | 16.57% |
5 Rooms | 3,203, 23.00%, see rank | 23.45% | 20.41% |
6 Rooms | 2,949, 21.17%, see rank | 18.16% | 18.25% |
7 Rooms | 1,892, 13.59%, see rank | 10.93% | 12.38% |
8 Rooms | 1,327, 9.53%, see rank | 6.37% | 8.59% |
9 Rooms or More | 1,046, 7.51%, see rank | 5.73% | 10.52% |
Median Rooms | 5.60, see rank | 5.10 | 5.50 |
US Census 2000 data
| 33884 Zip Code | Florida | U.S. |
Total Housing Units | 10,220, 100% | 7,302,947 | 115,904,641 |
1 Room | 62, 0.61%, see rank | 2.37% | 2.20% |
2 Rooms | 239, 2.34%, see rank | 6.06% | 4.81% |
3 Rooms | 737, 7.21%, see rank | 11.51% | 9.84% |
4 Rooms | 1,978, 19.35%, see rank | 19.42% | 15.97% |
5 Rooms | 2,277, 22.28%, see rank | 22.70% | 20.89% |
6 Rooms | 2,099, 20.54%, see rank | 17.74% | 18.45% |
7 Rooms | 1,300, 12.72%, see rank | 10.60% | 12.06% |
8 Rooms | 809, 7.92%, see rank | 5.76% | 8.06% |
9 Rooms or More | 719, 7.04%, 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.