33415 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 33415 Zip Code | Florida | U.S. |
Total Housing Units | 18,949, 100% | 9,051,851 | 132,741,033 |
1 Room | 103, 0.54%, see rank | 1.65% | 1.95% |
2 Rooms | 887, 4.68%, see rank | 2.16% | 2.48% |
3 Rooms | 4,002, 21.12%, see rank | 10.38% | 9.13% |
4 Rooms | 6,021, 31.77%, see rank | 21.92% | 16.60% |
5 Rooms | 4,588, 24.21%, see rank | 23.70% | 20.41% |
6 Rooms | 1,905, 10.05%, see rank | 17.82% | 18.06% |
7 Rooms | 792, 4.18%, see rank | 10.59% | 12.27% |
8 Rooms | 406, 2.14%, see rank | 6.13% | 8.48% |
9 Rooms or More | 245, 1.29%, see rank | 5.66% | 10.60% |
Median Rooms | 4.20, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 33415 Zip Code | Florida | U.S. |
Total Housing Units | 18,923, 100% | 8,983,414 | 131,642,457 |
1 Room | 143, 0.76%, see rank | 1.60% | 1.95% |
2 Rooms | 624, 3.30%, see rank | 2.07% | 2.36% |
3 Rooms | 3,165, 16.73%, see rank | 10.10% | 8.97% |
4 Rooms | 6,566, 34.70%, see rank | 21.59% | 16.57% |
5 Rooms | 4,767, 25.19%, see rank | 23.45% | 20.41% |
6 Rooms | 2,137, 11.29%, see rank | 18.16% | 18.25% |
7 Rooms | 944, 4.99%, see rank | 10.93% | 12.38% |
8 Rooms | 358, 1.89%, see rank | 6.37% | 8.59% |
9 Rooms or More | 219, 1.16%, see rank | 5.73% | 10.52% |
Median Rooms | 4.30, see rank | 5.10 | 5.50 |
US Census 2000 data
| 33415 Zip Code | Florida | U.S. |
Total Housing Units | 18,175, 100% | 7,302,947 | 115,904,641 |
1 Room | 328, 1.80%, see rank | 2.37% | 2.20% |
2 Rooms | 1,688, 9.29%, see rank | 6.06% | 4.81% |
3 Rooms | 2,733, 15.04%, see rank | 11.51% | 9.84% |
4 Rooms | 5,219, 28.72%, see rank | 19.42% | 15.97% |
5 Rooms | 4,532, 24.94%, see rank | 22.70% | 20.89% |
6 Rooms | 2,225, 12.24%, see rank | 17.74% | 18.45% |
7 Rooms | 888, 4.89%, see rank | 10.60% | 12.06% |
8 Rooms | 340, 1.87%, see rank | 5.76% | 8.06% |
9 Rooms or More | 222, 1.22%, see rank | 3.85% | 7.70% |
Median Rooms | 4.30, 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.