32310 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 32310 Zip Code | Florida | U.S. |
Total Housing Units | 8,252, 100% | 9,051,851 | 132,741,033 |
1 Room | 246, 2.98%, see rank | 1.65% | 1.95% |
2 Rooms | 557, 6.75%, see rank | 2.16% | 2.48% |
3 Rooms | 1,197, 14.51%, see rank | 10.38% | 9.13% |
4 Rooms | 1,599, 19.38%, see rank | 21.92% | 16.60% |
5 Rooms | 2,196, 26.61%, see rank | 23.70% | 20.41% |
6 Rooms | 1,230, 14.91%, see rank | 17.82% | 18.06% |
7 Rooms | 733, 8.88%, see rank | 10.59% | 12.27% |
8 Rooms | 353, 4.28%, see rank | 6.13% | 8.48% |
9 Rooms or More | 141, 1.71%, see rank | 5.66% | 10.60% |
Median Rooms | 4.70, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 32310 Zip Code | Florida | U.S. |
Total Housing Units | 8,682, 100% | 8,983,414 | 131,642,457 |
1 Room | 239, 2.75%, see rank | 1.60% | 1.95% |
2 Rooms | 620, 7.14%, see rank | 2.07% | 2.36% |
3 Rooms | 1,085, 12.50%, see rank | 10.10% | 8.97% |
4 Rooms | 1,564, 18.01%, see rank | 21.59% | 16.57% |
5 Rooms | 2,269, 26.13%, see rank | 23.45% | 20.41% |
6 Rooms | 1,675, 19.29%, see rank | 18.16% | 18.25% |
7 Rooms | 669, 7.71%, see rank | 10.93% | 12.38% |
8 Rooms | 388, 4.47%, see rank | 6.37% | 8.59% |
9 Rooms or More | 173, 1.99%, see rank | 5.73% | 10.52% |
Median Rooms | 4.90, see rank | 5.10 | 5.50 |
US Census 2000 data
| 32310 Zip Code | Florida | U.S. |
Total Housing Units | 13,771, 100% | 7,302,947 | 115,904,641 |
1 Room | 357, 2.59%, see rank | 2.37% | 2.20% |
2 Rooms | 1,116, 8.10%, see rank | 6.06% | 4.81% |
3 Rooms | 1,816, 13.19%, see rank | 11.51% | 9.84% |
4 Rooms | 2,547, 18.50%, see rank | 19.42% | 15.97% |
5 Rooms | 3,489, 25.34%, see rank | 22.70% | 20.89% |
6 Rooms | 2,367, 17.19%, see rank | 17.74% | 18.45% |
7 Rooms | 1,215, 8.82%, see rank | 10.60% | 12.06% |
8 Rooms | 513, 3.73%, see rank | 5.76% | 8.06% |
9 Rooms or More | 351, 2.55%, see rank | 3.85% | 7.70% |
Median Rooms | 4.80, 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.