33306 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 33306 Zip Code | Florida | U.S. |
Total Housing Units | 2,186, 100% | 9,051,851 | 132,741,033 |
1 Room | 67, 3.06%, see rank | 1.65% | 1.95% |
2 Rooms | 159, 7.27%, see rank | 2.16% | 2.48% |
3 Rooms | 368, 16.83%, see rank | 10.38% | 9.13% |
4 Rooms | 439, 20.08%, see rank | 21.92% | 16.60% |
5 Rooms | 325, 14.87%, see rank | 23.70% | 20.41% |
6 Rooms | 270, 12.35%, see rank | 17.82% | 18.06% |
7 Rooms | 308, 14.09%, see rank | 10.59% | 12.27% |
8 Rooms | 175, 8.01%, see rank | 6.13% | 8.48% |
9 Rooms or More | 75, 3.43%, see rank | 5.66% | 10.60% |
Median Rooms | 4.70, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 33306 Zip Code | Florida | U.S. |
Total Housing Units | 2,251, 100% | 8,983,414 | 131,642,457 |
1 Room | 120, 5.33%, see rank | 1.60% | 1.95% |
2 Rooms | 128, 5.69%, see rank | 2.07% | 2.36% |
3 Rooms | 502, 22.30%, see rank | 10.10% | 8.97% |
4 Rooms | 461, 20.48%, see rank | 21.59% | 16.57% |
5 Rooms | 372, 16.53%, see rank | 23.45% | 20.41% |
6 Rooms | 173, 7.69%, see rank | 18.16% | 18.25% |
7 Rooms | 241, 10.71%, see rank | 10.93% | 12.38% |
8 Rooms | 164, 7.29%, see rank | 6.37% | 8.59% |
9 Rooms or More | 90, 4.00%, see rank | 5.73% | 10.52% |
Median Rooms | 4.30, see rank | 5.10 | 5.50 |
US Census 2000 data
| 33306 Zip Code | Florida | U.S. |
Total Housing Units | 2,284, 100% | 7,302,947 | 115,904,641 |
1 Room | 122, 5.34%, see rank | 2.37% | 2.20% |
2 Rooms | 291, 12.74%, see rank | 6.06% | 4.81% |
3 Rooms | 352, 15.41%, see rank | 11.51% | 9.84% |
4 Rooms | 391, 17.12%, see rank | 19.42% | 15.97% |
5 Rooms | 382, 16.73%, see rank | 22.70% | 20.89% |
6 Rooms | 226, 9.89%, see rank | 17.74% | 18.45% |
7 Rooms | 306, 13.40%, see rank | 10.60% | 12.06% |
8 Rooms | 114, 4.99%, see rank | 5.76% | 8.06% |
9 Rooms or More | 100, 4.38%, 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.