32968 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 32968 Zip Code | Florida | U.S. |
Total Housing Units | 5,574, 100% | 9,051,851 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.65% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 2.16% | 2.48% |
3 Rooms | 71, 1.27%, see rank | 10.38% | 9.13% |
4 Rooms | 444, 7.97%, see rank | 21.92% | 16.60% |
5 Rooms | 1,399, 25.10%, see rank | 23.70% | 20.41% |
6 Rooms | 1,492, 26.77%, see rank | 17.82% | 18.06% |
7 Rooms | 991, 17.78%, see rank | 10.59% | 12.27% |
8 Rooms | 682, 12.24%, see rank | 6.13% | 8.48% |
9 Rooms or More | 495, 8.88%, see rank | 5.66% | 10.60% |
Median Rooms | 6.10, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 32968 Zip Code | Florida | U.S. |
Total Housing Units | 5,419, 100% | 8,983,414 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.60% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 2.07% | 2.36% |
3 Rooms | 59, 1.09%, see rank | 10.10% | 8.97% |
4 Rooms | 554, 10.22%, see rank | 21.59% | 16.57% |
5 Rooms | 1,434, 26.46%, see rank | 23.45% | 20.41% |
6 Rooms | 1,343, 24.78%, see rank | 18.16% | 18.25% |
7 Rooms | 912, 16.83%, see rank | 10.93% | 12.38% |
8 Rooms | 623, 11.50%, see rank | 6.37% | 8.59% |
9 Rooms or More | 494, 9.12%, see rank | 5.73% | 10.52% |
Median Rooms | 6.00, see rank | 5.10 | 5.50 |
US Census 2000 data
| 32968 Zip Code | Florida | U.S. |
Total Housing Units | 3,174, 100% | 7,302,947 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 2.37% | 2.20% |
2 Rooms | 11, 0.35%, see rank | 6.06% | 4.81% |
3 Rooms | 122, 3.84%, see rank | 11.51% | 9.84% |
4 Rooms | 343, 10.81%, see rank | 19.42% | 15.97% |
5 Rooms | 847, 26.69%, see rank | 22.70% | 20.89% |
6 Rooms | 711, 22.40%, see rank | 17.74% | 18.45% |
7 Rooms | 592, 18.65%, see rank | 10.60% | 12.06% |
8 Rooms | 374, 11.78%, see rank | 5.76% | 8.06% |
9 Rooms or More | 174, 5.48%, 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.