33068 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 33068 Zip Code | Florida | U.S. |
Total Housing Units | 17,049, 100% | 9,051,851 | 132,741,033 |
1 Room | 120, 0.70%, see rank | 1.65% | 1.95% |
2 Rooms | 170, 1.00%, see rank | 2.16% | 2.48% |
3 Rooms | 1,625, 9.53%, see rank | 10.38% | 9.13% |
4 Rooms | 5,236, 30.71%, see rank | 21.92% | 16.60% |
5 Rooms | 4,415, 25.90%, see rank | 23.70% | 20.41% |
6 Rooms | 2,944, 17.27%, see rank | 17.82% | 18.06% |
7 Rooms | 1,753, 10.28%, see rank | 10.59% | 12.27% |
8 Rooms | 621, 3.64%, see rank | 6.13% | 8.48% |
9 Rooms or More | 165, 0.97%, see rank | 5.66% | 10.60% |
Median Rooms | 4.80, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 33068 Zip Code | Florida | U.S. |
Total Housing Units | 17,314, 100% | 8,983,414 | 131,642,457 |
1 Room | 67, 0.39%, see rank | 1.60% | 1.95% |
2 Rooms | 128, 0.74%, see rank | 2.07% | 2.36% |
3 Rooms | 1,619, 9.35%, see rank | 10.10% | 8.97% |
4 Rooms | 4,530, 26.16%, see rank | 21.59% | 16.57% |
5 Rooms | 4,359, 25.18%, see rank | 23.45% | 20.41% |
6 Rooms | 3,990, 23.04%, see rank | 18.16% | 18.25% |
7 Rooms | 1,762, 10.18%, see rank | 10.93% | 12.38% |
8 Rooms | 715, 4.13%, see rank | 6.37% | 8.59% |
9 Rooms or More | 144, 0.83%, see rank | 5.73% | 10.52% |
Median Rooms | 5.00, see rank | 5.10 | 5.50 |
US Census 2000 data
| 33068 Zip Code | Florida | U.S. |
Total Housing Units | 16,792, 100% | 7,302,947 | 115,904,641 |
1 Room | 295, 1.76%, see rank | 2.37% | 2.20% |
2 Rooms | 1,086, 6.47%, see rank | 6.06% | 4.81% |
3 Rooms | 2,382, 14.19%, see rank | 11.51% | 9.84% |
4 Rooms | 3,322, 19.78%, see rank | 19.42% | 15.97% |
5 Rooms | 4,065, 24.21%, see rank | 22.70% | 20.89% |
6 Rooms | 3,305, 19.68%, see rank | 17.74% | 18.45% |
7 Rooms | 1,571, 9.36%, see rank | 10.60% | 12.06% |
8 Rooms | 576, 3.43%, see rank | 5.76% | 8.06% |
9 Rooms or More | 190, 1.13%, see rank | 3.85% | 7.70% |
Median Rooms | 4.80, 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.