33315 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 33315 Zip Code | Florida | U.S. |
Total Housing Units | 6,748, 100% | 9,051,851 | 132,741,033 |
1 Room | 254, 3.76%, see rank | 1.65% | 1.95% |
2 Rooms | 84, 1.24%, see rank | 2.16% | 2.48% |
3 Rooms | 994, 14.73%, see rank | 10.38% | 9.13% |
4 Rooms | 2,083, 30.87%, see rank | 21.92% | 16.60% |
5 Rooms | 1,819, 26.96%, see rank | 23.70% | 20.41% |
6 Rooms | 736, 10.91%, see rank | 17.82% | 18.06% |
7 Rooms | 453, 6.71%, see rank | 10.59% | 12.27% |
8 Rooms | 224, 3.32%, see rank | 6.13% | 8.48% |
9 Rooms or More | 101, 1.50%, see rank | 5.66% | 10.60% |
Median Rooms | 4.50, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 33315 Zip Code | Florida | U.S. |
Total Housing Units | 6,579, 100% | 8,983,414 | 131,642,457 |
1 Room | 219, 3.33%, see rank | 1.60% | 1.95% |
2 Rooms | 57, 0.87%, see rank | 2.07% | 2.36% |
3 Rooms | 975, 14.82%, see rank | 10.10% | 8.97% |
4 Rooms | 1,878, 28.55%, see rank | 21.59% | 16.57% |
5 Rooms | 1,927, 29.29%, see rank | 23.45% | 20.41% |
6 Rooms | 760, 11.55%, see rank | 18.16% | 18.25% |
7 Rooms | 467, 7.10%, see rank | 10.93% | 12.38% |
8 Rooms | 203, 3.09%, see rank | 6.37% | 8.59% |
9 Rooms or More | 93, 1.41%, see rank | 5.73% | 10.52% |
Median Rooms | 4.60, see rank | 5.10 | 5.50 |
US Census 2000 data
| 33315 Zip Code | Florida | U.S. |
Total Housing Units | 6,739, 100% | 7,302,947 | 115,904,641 |
1 Room | 250, 3.71%, see rank | 2.37% | 2.20% |
2 Rooms | 589, 8.74%, see rank | 6.06% | 4.81% |
3 Rooms | 1,115, 16.55%, see rank | 11.51% | 9.84% |
4 Rooms | 1,768, 26.24%, see rank | 19.42% | 15.97% |
5 Rooms | 1,532, 22.73%, see rank | 22.70% | 20.89% |
6 Rooms | 932, 13.83%, see rank | 17.74% | 18.45% |
7 Rooms | 370, 5.49%, see rank | 10.60% | 12.06% |
8 Rooms | 114, 1.69%, see rank | 5.76% | 8.06% |
9 Rooms or More | 69, 1.02%, 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.