33162 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 33162 Zip Code | Florida | U.S. |
Total Housing Units | 15,230, 100% | 9,051,851 | 132,741,033 |
1 Room | 383, 2.51%, see rank | 1.65% | 1.95% |
2 Rooms | 245, 1.61%, see rank | 2.16% | 2.48% |
3 Rooms | 3,260, 21.41%, see rank | 10.38% | 9.13% |
4 Rooms | 4,176, 27.42%, see rank | 21.92% | 16.60% |
5 Rooms | 3,444, 22.61%, see rank | 23.70% | 20.41% |
6 Rooms | 2,080, 13.66%, see rank | 17.82% | 18.06% |
7 Rooms | 860, 5.65%, see rank | 10.59% | 12.27% |
8 Rooms | 528, 3.47%, see rank | 6.13% | 8.48% |
9 Rooms or More | 254, 1.67%, see rank | 5.66% | 10.60% |
Median Rooms | 4.40, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 33162 Zip Code | Florida | U.S. |
Total Housing Units | 15,352, 100% | 8,983,414 | 131,642,457 |
1 Room | 310, 2.02%, see rank | 1.60% | 1.95% |
2 Rooms | 143, 0.93%, see rank | 2.07% | 2.36% |
3 Rooms | 2,858, 18.62%, see rank | 10.10% | 8.97% |
4 Rooms | 4,565, 29.74%, see rank | 21.59% | 16.57% |
5 Rooms | 3,935, 25.63%, see rank | 23.45% | 20.41% |
6 Rooms | 2,103, 13.70%, see rank | 18.16% | 18.25% |
7 Rooms | 787, 5.13%, see rank | 10.93% | 12.38% |
8 Rooms | 380, 2.48%, see rank | 6.37% | 8.59% |
9 Rooms or More | 271, 1.77%, see rank | 5.73% | 10.52% |
Median Rooms | 4.50, see rank | 5.10 | 5.50 |
US Census 2000 data
| 33162 Zip Code | Florida | U.S. |
Total Housing Units | 15,065, 100% | 7,302,947 | 115,904,641 |
1 Room | 832, 5.52%, see rank | 2.37% | 2.20% |
2 Rooms | 1,659, 11.01%, see rank | 6.06% | 4.81% |
3 Rooms | 3,759, 24.95%, see rank | 11.51% | 9.84% |
4 Rooms | 2,266, 15.04%, see rank | 19.42% | 15.97% |
5 Rooms | 2,462, 16.34%, see rank | 22.70% | 20.89% |
6 Rooms | 2,169, 14.40%, see rank | 17.74% | 18.45% |
7 Rooms | 1,166, 7.74%, see rank | 10.60% | 12.06% |
8 Rooms | 506, 3.36%, see rank | 5.76% | 8.06% |
9 Rooms or More | 246, 1.63%, see rank | 3.85% | 7.70% |
Median Rooms | 4.10, 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.