33334 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 33334 Zip Code | Florida | U.S. |
Total Housing Units | 14,082, 100% | 9,051,851 | 132,741,033 |
1 Room | 292, 2.07%, see rank | 1.65% | 1.95% |
2 Rooms | 497, 3.53%, see rank | 2.16% | 2.48% |
3 Rooms | 2,437, 17.31%, see rank | 10.38% | 9.13% |
4 Rooms | 4,440, 31.53%, see rank | 21.92% | 16.60% |
5 Rooms | 2,714, 19.27%, see rank | 23.70% | 20.41% |
6 Rooms | 1,992, 14.15%, see rank | 17.82% | 18.06% |
7 Rooms | 1,170, 8.31%, see rank | 10.59% | 12.27% |
8 Rooms | 269, 1.91%, see rank | 6.13% | 8.48% |
9 Rooms or More | 271, 1.92%, see rank | 5.66% | 10.60% |
Median Rooms | 4.40, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 33334 Zip Code | Florida | U.S. |
Total Housing Units | 14,173, 100% | 8,983,414 | 131,642,457 |
1 Room | 321, 2.26%, see rank | 1.60% | 1.95% |
2 Rooms | 426, 3.01%, see rank | 2.07% | 2.36% |
3 Rooms | 2,403, 16.95%, see rank | 10.10% | 8.97% |
4 Rooms | 4,489, 31.67%, see rank | 21.59% | 16.57% |
5 Rooms | 2,727, 19.24%, see rank | 23.45% | 20.41% |
6 Rooms | 2,202, 15.54%, see rank | 18.16% | 18.25% |
7 Rooms | 971, 6.85%, see rank | 10.93% | 12.38% |
8 Rooms | 347, 2.45%, see rank | 6.37% | 8.59% |
9 Rooms or More | 287, 2.02%, see rank | 5.73% | 10.52% |
Median Rooms | 4.40, see rank | 5.10 | 5.50 |
US Census 2000 data
| 33334 Zip Code | Florida | U.S. |
Total Housing Units | 13,612, 100% | 7,302,947 | 115,904,641 |
1 Room | 443, 3.25%, see rank | 2.37% | 2.20% |
2 Rooms | 1,340, 9.84%, see rank | 6.06% | 4.81% |
3 Rooms | 2,627, 19.30%, see rank | 11.51% | 9.84% |
4 Rooms | 2,790, 20.50%, see rank | 19.42% | 15.97% |
5 Rooms | 2,752, 20.22%, see rank | 22.70% | 20.89% |
6 Rooms | 2,141, 15.73%, see rank | 17.74% | 18.45% |
7 Rooms | 1,021, 7.50%, see rank | 10.60% | 12.06% |
8 Rooms | 354, 2.60%, see rank | 5.76% | 8.06% |
9 Rooms or More | 144, 1.06%, see rank | 3.85% | 7.70% |
Median Rooms | 4.40, 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.