33603 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 33603 Zip Code | Florida | U.S. |
Total Housing Units | 9,243, 100% | 9,051,851 | 132,741,033 |
1 Room | 235, 2.54%, see rank | 1.65% | 1.95% |
2 Rooms | 225, 2.43%, see rank | 2.16% | 2.48% |
3 Rooms | 1,041, 11.26%, see rank | 10.38% | 9.13% |
4 Rooms | 1,455, 15.74%, see rank | 21.92% | 16.60% |
5 Rooms | 2,301, 24.89%, see rank | 23.70% | 20.41% |
6 Rooms | 2,038, 22.05%, see rank | 17.82% | 18.06% |
7 Rooms | 1,091, 11.80%, see rank | 10.59% | 12.27% |
8 Rooms | 482, 5.21%, see rank | 6.13% | 8.48% |
9 Rooms or More | 375, 4.06%, see rank | 5.66% | 10.60% |
Median Rooms | 5.20, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 33603 Zip Code | Florida | U.S. |
Total Housing Units | 9,231, 100% | 8,983,414 | 131,642,457 |
1 Room | 281, 3.04%, see rank | 1.60% | 1.95% |
2 Rooms | 256, 2.77%, see rank | 2.07% | 2.36% |
3 Rooms | 1,012, 10.96%, see rank | 10.10% | 8.97% |
4 Rooms | 1,620, 17.55%, see rank | 21.59% | 16.57% |
5 Rooms | 2,256, 24.44%, see rank | 23.45% | 20.41% |
6 Rooms | 2,084, 22.58%, see rank | 18.16% | 18.25% |
7 Rooms | 928, 10.05%, see rank | 10.93% | 12.38% |
8 Rooms | 481, 5.21%, see rank | 6.37% | 8.59% |
9 Rooms or More | 313, 3.39%, see rank | 5.73% | 10.52% |
Median Rooms | 5.10, see rank | 5.10 | 5.50 |
US Census 2000 data
| 33603 Zip Code | Florida | U.S. |
Total Housing Units | 8,929, 100% | 7,302,947 | 115,904,641 |
1 Room | 286, 3.20%, see rank | 2.37% | 2.20% |
2 Rooms | 600, 6.72%, see rank | 6.06% | 4.81% |
3 Rooms | 1,033, 11.57%, see rank | 11.51% | 9.84% |
4 Rooms | 1,576, 17.65%, see rank | 19.42% | 15.97% |
5 Rooms | 2,202, 24.66%, see rank | 22.70% | 20.89% |
6 Rooms | 1,812, 20.29%, see rank | 17.74% | 18.45% |
7 Rooms | 895, 10.02%, see rank | 10.60% | 12.06% |
8 Rooms | 316, 3.54%, see rank | 5.76% | 8.06% |
9 Rooms or More | 209, 2.34%, see rank | 3.85% | 7.70% |
Median Rooms | 4.90, 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.