33703 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 33703 Zip Code | Florida | U.S. |
Total Housing Units | 11,672, 100% | 9,051,851 | 132,741,033 |
1 Room | 69, 0.59%, see rank | 1.65% | 1.95% |
2 Rooms | 256, 2.19%, see rank | 2.16% | 2.48% |
3 Rooms | 928, 7.95%, see rank | 10.38% | 9.13% |
4 Rooms | 2,825, 24.20%, see rank | 21.92% | 16.60% |
5 Rooms | 2,942, 25.21%, see rank | 23.70% | 20.41% |
6 Rooms | 2,240, 19.19%, see rank | 17.82% | 18.06% |
7 Rooms | 1,211, 10.38%, see rank | 10.59% | 12.27% |
8 Rooms | 636, 5.45%, see rank | 6.13% | 8.48% |
9 Rooms or More | 565, 4.84%, see rank | 5.66% | 10.60% |
Median Rooms | 5.10, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 33703 Zip Code | Florida | U.S. |
Total Housing Units | 11,767, 100% | 8,983,414 | 131,642,457 |
1 Room | 48, 0.41%, see rank | 1.60% | 1.95% |
2 Rooms | 282, 2.40%, see rank | 2.07% | 2.36% |
3 Rooms | 1,173, 9.97%, see rank | 10.10% | 8.97% |
4 Rooms | 2,605, 22.14%, see rank | 21.59% | 16.57% |
5 Rooms | 2,967, 25.21%, see rank | 23.45% | 20.41% |
6 Rooms | 2,166, 18.41%, see rank | 18.16% | 18.25% |
7 Rooms | 1,300, 11.05%, see rank | 10.93% | 12.38% |
8 Rooms | 697, 5.92%, see rank | 6.37% | 8.59% |
9 Rooms or More | 529, 4.50%, see rank | 5.73% | 10.52% |
Median Rooms | 5.10, see rank | 5.10 | 5.50 |
US Census 2000 data
| 33703 Zip Code | Florida | U.S. |
Total Housing Units | 12,281, 100% | 7,302,947 | 115,904,641 |
1 Room | 82, 0.67%, see rank | 2.37% | 2.20% |
2 Rooms | 432, 3.52%, see rank | 6.06% | 4.81% |
3 Rooms | 1,422, 11.58%, see rank | 11.51% | 9.84% |
4 Rooms | 2,348, 19.12%, see rank | 19.42% | 15.97% |
5 Rooms | 2,642, 21.51%, see rank | 22.70% | 20.89% |
6 Rooms | 2,509, 20.43%, see rank | 17.74% | 18.45% |
7 Rooms | 1,514, 12.33%, see rank | 10.60% | 12.06% |
8 Rooms | 876, 7.13%, see rank | 5.76% | 8.06% |
9 Rooms or More | 456, 3.71%, see rank | 3.85% | 7.70% |
Median Rooms | 5.20, 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.