32204 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 32204 Zip Code | Florida | U.S. |
Total Housing Units | 4,366, 100% | 9,051,851 | 132,741,033 |
1 Room | 452, 10.35%, see rank | 1.65% | 1.95% |
2 Rooms | 294, 6.73%, see rank | 2.16% | 2.48% |
3 Rooms | 1,060, 24.28%, see rank | 10.38% | 9.13% |
4 Rooms | 951, 21.78%, see rank | 21.92% | 16.60% |
5 Rooms | 658, 15.07%, see rank | 23.70% | 20.41% |
6 Rooms | 391, 8.96%, see rank | 17.82% | 18.06% |
7 Rooms | 337, 7.72%, see rank | 10.59% | 12.27% |
8 Rooms | 71, 1.63%, see rank | 6.13% | 8.48% |
9 Rooms or More | 152, 3.48%, see rank | 5.66% | 10.60% |
Median Rooms | 3.90, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 32204 Zip Code | Florida | U.S. |
Total Housing Units | 4,200, 100% | 8,983,414 | 131,642,457 |
1 Room | 253, 6.02%, see rank | 1.60% | 1.95% |
2 Rooms | 244, 5.81%, see rank | 2.07% | 2.36% |
3 Rooms | 1,056, 25.14%, see rank | 10.10% | 8.97% |
4 Rooms | 897, 21.36%, see rank | 21.59% | 16.57% |
5 Rooms | 816, 19.43%, see rank | 23.45% | 20.41% |
6 Rooms | 322, 7.67%, see rank | 18.16% | 18.25% |
7 Rooms | 300, 7.14%, see rank | 10.93% | 12.38% |
8 Rooms | 111, 2.64%, see rank | 6.37% | 8.59% |
9 Rooms or More | 201, 4.79%, see rank | 5.73% | 10.52% |
Median Rooms | 4.10, see rank | 5.10 | 5.50 |
US Census 2000 data
| 32204 Zip Code | Florida | U.S. |
Total Housing Units | 3,910, 100% | 7,302,947 | 115,904,641 |
1 Room | 126, 3.22%, see rank | 2.37% | 2.20% |
2 Rooms | 288, 7.37%, see rank | 6.06% | 4.81% |
3 Rooms | 787, 20.13%, see rank | 11.51% | 9.84% |
4 Rooms | 813, 20.79%, see rank | 19.42% | 15.97% |
5 Rooms | 663, 16.96%, see rank | 22.70% | 20.89% |
6 Rooms | 633, 16.19%, see rank | 17.74% | 18.45% |
7 Rooms | 247, 6.32%, see rank | 10.60% | 12.06% |
8 Rooms | 211, 5.40%, see rank | 5.76% | 8.06% |
9 Rooms or More | 142, 3.63%, see rank | 3.85% | 7.70% |
Median Rooms | 4.40, 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.