32693 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 32693 Zip Code | Florida | U.S. |
Total Housing Units | 5,167, 100% | 9,051,851 | 132,741,033 |
1 Room | 24, 0.46%, see rank | 1.65% | 1.95% |
2 Rooms | 100, 1.94%, see rank | 2.16% | 2.48% |
3 Rooms | 147, 2.84%, see rank | 10.38% | 9.13% |
4 Rooms | 1,069, 20.69%, see rank | 21.92% | 16.60% |
5 Rooms | 1,667, 32.26%, see rank | 23.70% | 20.41% |
6 Rooms | 983, 19.02%, see rank | 17.82% | 18.06% |
7 Rooms | 618, 11.96%, see rank | 10.59% | 12.27% |
8 Rooms | 283, 5.48%, see rank | 6.13% | 8.48% |
9 Rooms or More | 276, 5.34%, see rank | 5.66% | 10.60% |
Median Rooms | 5.20, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 32693 Zip Code | Florida | U.S. |
Total Housing Units | 5,303, 100% | 8,983,414 | 131,642,457 |
1 Room | 13, 0.25%, see rank | 1.60% | 1.95% |
2 Rooms | 124, 2.34%, see rank | 2.07% | 2.36% |
3 Rooms | 184, 3.47%, see rank | 10.10% | 8.97% |
4 Rooms | 1,124, 21.20%, see rank | 21.59% | 16.57% |
5 Rooms | 1,660, 31.30%, see rank | 23.45% | 20.41% |
6 Rooms | 1,043, 19.67%, see rank | 18.16% | 18.25% |
7 Rooms | 657, 12.39%, see rank | 10.93% | 12.38% |
8 Rooms | 225, 4.24%, see rank | 6.37% | 8.59% |
9 Rooms or More | 273, 5.15%, see rank | 5.73% | 10.52% |
Median Rooms | 5.20, see rank | 5.10 | 5.50 |
US Census 2000 data
| 32693 Zip Code | Florida | U.S. |
Total Housing Units | 3,846, 100% | 7,302,947 | 115,904,641 |
1 Room | 36, 0.94%, see rank | 2.37% | 2.20% |
2 Rooms | 112, 2.91%, see rank | 6.06% | 4.81% |
3 Rooms | 250, 6.50%, see rank | 11.51% | 9.84% |
4 Rooms | 951, 24.73%, see rank | 19.42% | 15.97% |
5 Rooms | 1,119, 29.10%, see rank | 22.70% | 20.89% |
6 Rooms | 839, 21.81%, see rank | 17.74% | 18.45% |
7 Rooms | 295, 7.67%, see rank | 10.60% | 12.06% |
8 Rooms | 163, 4.24%, see rank | 5.76% | 8.06% |
9 Rooms or More | 81, 2.11%, see rank | 3.85% | 7.70% |
Median Rooms | 5.00, 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.