33328 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 33328 Zip Code | Florida | U.S. |
Total Housing Units | 10,254, 100% | 9,051,851 | 132,741,033 |
1 Room | 96, 0.94%, see rank | 1.65% | 1.95% |
2 Rooms | 171, 1.67%, see rank | 2.16% | 2.48% |
3 Rooms | 558, 5.44%, see rank | 10.38% | 9.13% |
4 Rooms | 1,672, 16.31%, see rank | 21.92% | 16.60% |
5 Rooms | 1,983, 19.34%, see rank | 23.70% | 20.41% |
6 Rooms | 2,182, 21.28%, see rank | 17.82% | 18.06% |
7 Rooms | 1,444, 14.08%, see rank | 10.59% | 12.27% |
8 Rooms | 981, 9.57%, see rank | 6.13% | 8.48% |
9 Rooms or More | 1,167, 11.38%, see rank | 5.66% | 10.60% |
Median Rooms | 5.80, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 33328 Zip Code | Florida | U.S. |
Total Housing Units | 10,188, 100% | 8,983,414 | 131,642,457 |
1 Room | 114, 1.12%, see rank | 1.60% | 1.95% |
2 Rooms | 115, 1.13%, see rank | 2.07% | 2.36% |
3 Rooms | 598, 5.87%, see rank | 10.10% | 8.97% |
4 Rooms | 1,503, 14.75%, see rank | 21.59% | 16.57% |
5 Rooms | 2,091, 20.52%, see rank | 23.45% | 20.41% |
6 Rooms | 2,203, 21.62%, see rank | 18.16% | 18.25% |
7 Rooms | 1,556, 15.27%, see rank | 10.93% | 12.38% |
8 Rooms | 921, 9.04%, see rank | 6.37% | 8.59% |
9 Rooms or More | 1,087, 10.67%, see rank | 5.73% | 10.52% |
Median Rooms | 5.80, see rank | 5.10 | 5.50 |
US Census 2000 data
| 33328 Zip Code | Florida | U.S. |
Total Housing Units | 7,799, 100% | 7,302,947 | 115,904,641 |
1 Room | 100, 1.28%, see rank | 2.37% | 2.20% |
2 Rooms | 377, 4.83%, see rank | 6.06% | 4.81% |
3 Rooms | 481, 6.17%, see rank | 11.51% | 9.84% |
4 Rooms | 1,007, 12.91%, see rank | 19.42% | 15.97% |
5 Rooms | 1,302, 16.69%, see rank | 22.70% | 20.89% |
6 Rooms | 1,521, 19.50%, see rank | 17.74% | 18.45% |
7 Rooms | 1,344, 17.23%, see rank | 10.60% | 12.06% |
8 Rooms | 987, 12.66%, see rank | 5.76% | 8.06% |
9 Rooms or More | 680, 8.72%, see rank | 3.85% | 7.70% |
Median Rooms | 5.90, 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.