33972 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 33972 Zip Code | Florida | U.S. |
Total Housing Units | 4,690, 100% | 9,051,851 | 132,741,033 |
1 Room | 13, 0.28%, see rank | 1.65% | 1.95% |
2 Rooms | 66, 1.41%, see rank | 2.16% | 2.48% |
3 Rooms | 190, 4.05%, see rank | 10.38% | 9.13% |
4 Rooms | 983, 20.96%, see rank | 21.92% | 16.60% |
5 Rooms | 1,344, 28.66%, see rank | 23.70% | 20.41% |
6 Rooms | 1,016, 21.66%, see rank | 17.82% | 18.06% |
7 Rooms | 564, 12.03%, see rank | 10.59% | 12.27% |
8 Rooms | 355, 7.57%, see rank | 6.13% | 8.48% |
9 Rooms or More | 159, 3.39%, see rank | 5.66% | 10.60% |
Median Rooms | 5.30, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 33972 Zip Code | Florida | U.S. |
Total Housing Units | 4,382, 100% | 8,983,414 | 131,642,457 |
1 Room | 52, 1.19%, see rank | 1.60% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 2.07% | 2.36% |
3 Rooms | 99, 2.26%, see rank | 10.10% | 8.97% |
4 Rooms | 755, 17.23%, see rank | 21.59% | 16.57% |
5 Rooms | 1,257, 28.69%, see rank | 23.45% | 20.41% |
6 Rooms | 958, 21.86%, see rank | 18.16% | 18.25% |
7 Rooms | 730, 16.66%, see rank | 10.93% | 12.38% |
8 Rooms | 308, 7.03%, see rank | 6.37% | 8.59% |
9 Rooms or More | 223, 5.09%, see rank | 5.73% | 10.52% |
Median Rooms | 5.50, see rank | 5.10 | 5.50 |
US Census 2000 data
| 33972 Zip Code | Florida | U.S. |
Total Housing Units | 3,921, 100% | 7,302,947 | 115,904,641 |
1 Room | 7, 0.18%, see rank | 2.37% | 2.20% |
2 Rooms | 73, 1.86%, see rank | 6.06% | 4.81% |
3 Rooms | 190, 4.85%, see rank | 11.51% | 9.84% |
4 Rooms | 711, 18.13%, see rank | 19.42% | 15.97% |
5 Rooms | 1,152, 29.38%, see rank | 22.70% | 20.89% |
6 Rooms | 989, 25.22%, see rank | 17.74% | 18.45% |
7 Rooms | 475, 12.11%, see rank | 10.60% | 12.06% |
8 Rooms | 212, 5.41%, see rank | 5.76% | 8.06% |
9 Rooms or More | 112, 2.86%, see rank | 3.85% | 7.70% |
Median Rooms | 5.40, 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.