32579 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 32579 Zip Code | Florida | U.S. |
Total Housing Units | 5,005, 100% | 9,051,851 | 132,741,033 |
1 Room | 75, 1.50%, see rank | 1.65% | 1.95% |
2 Rooms | 68, 1.36%, see rank | 2.16% | 2.48% |
3 Rooms | 573, 11.45%, see rank | 10.38% | 9.13% |
4 Rooms | 750, 14.99%, see rank | 21.92% | 16.60% |
5 Rooms | 1,019, 20.36%, see rank | 23.70% | 20.41% |
6 Rooms | 696, 13.91%, see rank | 17.82% | 18.06% |
7 Rooms | 656, 13.11%, see rank | 10.59% | 12.27% |
8 Rooms | 704, 14.07%, see rank | 6.13% | 8.48% |
9 Rooms or More | 464, 9.27%, see rank | 5.66% | 10.60% |
Median Rooms | 5.50, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 32579 Zip Code | Florida | U.S. |
Total Housing Units | 4,813, 100% | 8,983,414 | 131,642,457 |
1 Room | 60, 1.25%, see rank | 1.60% | 1.95% |
2 Rooms | 90, 1.87%, see rank | 2.07% | 2.36% |
3 Rooms | 473, 9.83%, see rank | 10.10% | 8.97% |
4 Rooms | 662, 13.75%, see rank | 21.59% | 16.57% |
5 Rooms | 862, 17.91%, see rank | 23.45% | 20.41% |
6 Rooms | 747, 15.52%, see rank | 18.16% | 18.25% |
7 Rooms | 759, 15.77%, see rank | 10.93% | 12.38% |
8 Rooms | 697, 14.48%, see rank | 6.37% | 8.59% |
9 Rooms or More | 463, 9.62%, see rank | 5.73% | 10.52% |
Median Rooms | 5.80, see rank | 5.10 | 5.50 |
US Census 2000 data
| 32579 Zip Code | Florida | U.S. |
Total Housing Units | 4,552, 100% | 7,302,947 | 115,904,641 |
1 Room | 40, 0.88%, see rank | 2.37% | 2.20% |
2 Rooms | 107, 2.35%, see rank | 6.06% | 4.81% |
3 Rooms | 406, 8.92%, see rank | 11.51% | 9.84% |
4 Rooms | 473, 10.39%, see rank | 19.42% | 15.97% |
5 Rooms | 944, 20.74%, see rank | 22.70% | 20.89% |
6 Rooms | 763, 16.76%, see rank | 17.74% | 18.45% |
7 Rooms | 842, 18.50%, see rank | 10.60% | 12.06% |
8 Rooms | 657, 14.43%, see rank | 5.76% | 8.06% |
9 Rooms or More | 320, 7.03%, see rank | 3.85% | 7.70% |
Median Rooms | 5.90, 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.