33309 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 33309 Zip Code | Florida | U.S. |
Total Housing Units | 14,441, 100% | 9,051,851 | 132,741,033 |
1 Room | 123, 0.85%, see rank | 1.65% | 1.95% |
2 Rooms | 140, 0.97%, see rank | 2.16% | 2.48% |
3 Rooms | 1,552, 10.75%, see rank | 10.38% | 9.13% |
4 Rooms | 4,629, 32.05%, see rank | 21.92% | 16.60% |
5 Rooms | 3,702, 25.64%, see rank | 23.70% | 20.41% |
6 Rooms | 2,255, 15.62%, see rank | 17.82% | 18.06% |
7 Rooms | 1,094, 7.58%, see rank | 10.59% | 12.27% |
8 Rooms | 645, 4.47%, see rank | 6.13% | 8.48% |
9 Rooms or More | 301, 2.08%, see rank | 5.66% | 10.60% |
Median Rooms | 4.70, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 33309 Zip Code | Florida | U.S. |
Total Housing Units | 14,897, 100% | 8,983,414 | 131,642,457 |
1 Room | 173, 1.16%, see rank | 1.60% | 1.95% |
2 Rooms | 142, 0.95%, see rank | 2.07% | 2.36% |
3 Rooms | 1,447, 9.71%, see rank | 10.10% | 8.97% |
4 Rooms | 5,074, 34.06%, see rank | 21.59% | 16.57% |
5 Rooms | 3,446, 23.13%, see rank | 23.45% | 20.41% |
6 Rooms | 2,461, 16.52%, see rank | 18.16% | 18.25% |
7 Rooms | 1,213, 8.14%, see rank | 10.93% | 12.38% |
8 Rooms | 669, 4.49%, see rank | 6.37% | 8.59% |
9 Rooms or More | 272, 1.83%, see rank | 5.73% | 10.52% |
Median Rooms | 4.70, see rank | 5.10 | 5.50 |
US Census 2000 data
| 33309 Zip Code | Florida | U.S. |
Total Housing Units | 13,441, 100% | 7,302,947 | 115,904,641 |
1 Room | 278, 2.07%, see rank | 2.37% | 2.20% |
2 Rooms | 1,094, 8.14%, see rank | 6.06% | 4.81% |
3 Rooms | 2,055, 15.29%, see rank | 11.51% | 9.84% |
4 Rooms | 3,224, 23.99%, see rank | 19.42% | 15.97% |
5 Rooms | 2,845, 21.17%, see rank | 22.70% | 20.89% |
6 Rooms | 2,154, 16.03%, see rank | 17.74% | 18.45% |
7 Rooms | 1,167, 8.68%, see rank | 10.60% | 12.06% |
8 Rooms | 434, 3.23%, see rank | 5.76% | 8.06% |
9 Rooms or More | 190, 1.41%, 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.