33567 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 33567 Zip Code | Florida | U.S. |
Total Housing Units | 3,640, 100% | 9,051,851 | 132,741,033 |
1 Room | 4, 0.11%, see rank | 1.65% | 1.95% |
2 Rooms | 9, 0.25%, see rank | 2.16% | 2.48% |
3 Rooms | 191, 5.25%, see rank | 10.38% | 9.13% |
4 Rooms | 463, 12.72%, see rank | 21.92% | 16.60% |
5 Rooms | 879, 24.15%, see rank | 23.70% | 20.41% |
6 Rooms | 773, 21.24%, see rank | 17.82% | 18.06% |
7 Rooms | 525, 14.42%, see rank | 10.59% | 12.27% |
8 Rooms | 364, 10.00%, see rank | 6.13% | 8.48% |
9 Rooms or More | 432, 11.87%, see rank | 5.66% | 10.60% |
Median Rooms | 5.90, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 33567 Zip Code | Florida | U.S. |
Total Housing Units | 3,624, 100% | 8,983,414 | 131,642,457 |
1 Room | 4, 0.11%, see rank | 1.60% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 2.07% | 2.36% |
3 Rooms | 113, 3.12%, see rank | 10.10% | 8.97% |
4 Rooms | 546, 15.07%, see rank | 21.59% | 16.57% |
5 Rooms | 809, 22.32%, see rank | 23.45% | 20.41% |
6 Rooms | 823, 22.71%, see rank | 18.16% | 18.25% |
7 Rooms | 559, 15.42%, see rank | 10.93% | 12.38% |
8 Rooms | 324, 8.94%, see rank | 6.37% | 8.59% |
9 Rooms or More | 446, 12.31%, see rank | 5.73% | 10.52% |
Median Rooms | 5.90, see rank | 5.10 | 5.50 |
US Census 2000 data
| 33567 Zip Code | Florida | U.S. |
Total Housing Units | 9,610, 100% | 7,302,947 | 115,904,641 |
1 Room | 64, 0.67%, see rank | 2.37% | 2.20% |
2 Rooms | 287, 2.99%, see rank | 6.06% | 4.81% |
3 Rooms | 816, 8.49%, see rank | 11.51% | 9.84% |
4 Rooms | 1,574, 16.38%, see rank | 19.42% | 15.97% |
5 Rooms | 2,170, 22.58%, see rank | 22.70% | 20.89% |
6 Rooms | 2,060, 21.44%, see rank | 17.74% | 18.45% |
7 Rooms | 1,214, 12.63%, see rank | 10.60% | 12.06% |
8 Rooms | 926, 9.64%, see rank | 5.76% | 8.06% |
9 Rooms or More | 499, 5.19%, see rank | 3.85% | 7.70% |
Median Rooms | 5.50, 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.