33446 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 33446 Zip Code | Florida | U.S. |
Total Housing Units | 16,323, 100% | 9,051,851 | 132,741,033 |
1 Room | 190, 1.16%, see rank | 1.65% | 1.95% |
2 Rooms | 511, 3.13%, see rank | 2.16% | 2.48% |
3 Rooms | 2,264, 13.87%, see rank | 10.38% | 9.13% |
4 Rooms | 4,688, 28.72%, see rank | 21.92% | 16.60% |
5 Rooms | 3,420, 20.95%, see rank | 23.70% | 20.41% |
6 Rooms | 1,708, 10.46%, see rank | 17.82% | 18.06% |
7 Rooms | 1,343, 8.23%, see rank | 10.59% | 12.27% |
8 Rooms | 955, 5.85%, see rank | 6.13% | 8.48% |
9 Rooms or More | 1,244, 7.62%, see rank | 5.66% | 10.60% |
Median Rooms | 4.60, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 33446 Zip Code | Florida | U.S. |
Total Housing Units | 16,070, 100% | 8,983,414 | 131,642,457 |
1 Room | 97, 0.60%, see rank | 1.60% | 1.95% |
2 Rooms | 355, 2.21%, see rank | 2.07% | 2.36% |
3 Rooms | 2,063, 12.84%, see rank | 10.10% | 8.97% |
4 Rooms | 4,721, 29.38%, see rank | 21.59% | 16.57% |
5 Rooms | 3,805, 23.68%, see rank | 23.45% | 20.41% |
6 Rooms | 1,943, 12.09%, see rank | 18.16% | 18.25% |
7 Rooms | 1,245, 7.75%, see rank | 10.93% | 12.38% |
8 Rooms | 794, 4.94%, see rank | 6.37% | 8.59% |
9 Rooms or More | 1,047, 6.52%, see rank | 5.73% | 10.52% |
Median Rooms | 4.70, see rank | 5.10 | 5.50 |
US Census 2000 data
| 33446 Zip Code | Florida | U.S. |
Total Housing Units | 11,028, 100% | 7,302,947 | 115,904,641 |
1 Room | 43, 0.39%, see rank | 2.37% | 2.20% |
2 Rooms | 203, 1.84%, see rank | 6.06% | 4.81% |
3 Rooms | 1,393, 12.63%, see rank | 11.51% | 9.84% |
4 Rooms | 3,961, 35.92%, see rank | 19.42% | 15.97% |
5 Rooms | 3,080, 27.93%, see rank | 22.70% | 20.89% |
6 Rooms | 1,298, 11.77%, see rank | 17.74% | 18.45% |
7 Rooms | 414, 3.75%, see rank | 10.60% | 12.06% |
8 Rooms | 267, 2.42%, see rank | 5.76% | 8.06% |
9 Rooms or More | 369, 3.35%, see rank | 3.85% | 7.70% |
Median Rooms | 4.50, 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.