33180 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 33180 Zip Code | Florida | U.S. |
Total Housing Units | 24,359, 100% | 9,051,851 | 132,741,033 |
1 Room | 300, 1.23%, see rank | 1.65% | 1.95% |
2 Rooms | 465, 1.91%, see rank | 2.16% | 2.48% |
3 Rooms | 4,436, 18.21%, see rank | 10.38% | 9.13% |
4 Rooms | 11,410, 46.84%, see rank | 21.92% | 16.60% |
5 Rooms | 4,103, 16.84%, see rank | 23.70% | 20.41% |
6 Rooms | 1,859, 7.63%, see rank | 17.82% | 18.06% |
7 Rooms | 789, 3.24%, see rank | 10.59% | 12.27% |
8 Rooms | 401, 1.65%, see rank | 6.13% | 8.48% |
9 Rooms or More | 596, 2.45%, see rank | 5.66% | 10.60% |
Median Rooms | 4.10, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 33180 Zip Code | Florida | U.S. |
Total Housing Units | 22,896, 100% | 8,983,414 | 131,642,457 |
1 Room | 456, 1.99%, see rank | 1.60% | 1.95% |
2 Rooms | 267, 1.17%, see rank | 2.07% | 2.36% |
3 Rooms | 4,163, 18.18%, see rank | 10.10% | 8.97% |
4 Rooms | 9,654, 42.16%, see rank | 21.59% | 16.57% |
5 Rooms | 4,413, 19.27%, see rank | 23.45% | 20.41% |
6 Rooms | 1,987, 8.68%, see rank | 18.16% | 18.25% |
7 Rooms | 897, 3.92%, see rank | 10.93% | 12.38% |
8 Rooms | 369, 1.61%, see rank | 6.37% | 8.59% |
9 Rooms or More | 690, 3.01%, see rank | 5.73% | 10.52% |
Median Rooms | 4.20, see rank | 5.10 | 5.50 |
US Census 2000 data
| 33180 Zip Code | Florida | U.S. |
Total Housing Units | 14,370, 100% | 7,302,947 | 115,904,641 |
1 Room | 251, 1.75%, see rank | 2.37% | 2.20% |
2 Rooms | 1,267, 8.82%, see rank | 6.06% | 4.81% |
3 Rooms | 2,114, 14.71%, see rank | 11.51% | 9.84% |
4 Rooms | 3,326, 23.15%, see rank | 19.42% | 15.97% |
5 Rooms | 4,064, 28.28%, see rank | 22.70% | 20.89% |
6 Rooms | 1,853, 12.89%, see rank | 17.74% | 18.45% |
7 Rooms | 854, 5.94%, see rank | 10.60% | 12.06% |
8 Rooms | 393, 2.73%, see rank | 5.76% | 8.06% |
9 Rooms or More | 248, 1.73%, see rank | 3.85% | 7.70% |
Median Rooms | 4.60, 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.