33767 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 33767 Zip Code | Florida | U.S. |
Total Housing Units | 8,482, 100% | 9,051,851 | 132,741,033 |
1 Room | 346, 4.08%, see rank | 1.65% | 1.95% |
2 Rooms | 166, 1.96%, see rank | 2.16% | 2.48% |
3 Rooms | 925, 10.91%, see rank | 10.38% | 9.13% |
4 Rooms | 3,368, 39.71%, see rank | 21.92% | 16.60% |
5 Rooms | 1,564, 18.44%, see rank | 23.70% | 20.41% |
6 Rooms | 998, 11.77%, see rank | 17.82% | 18.06% |
7 Rooms | 574, 6.77%, see rank | 10.59% | 12.27% |
8 Rooms | 305, 3.60%, see rank | 6.13% | 8.48% |
9 Rooms or More | 236, 2.78%, see rank | 5.66% | 10.60% |
Median Rooms | 4.30, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 33767 Zip Code | Florida | U.S. |
Total Housing Units | 8,616, 100% | 8,983,414 | 131,642,457 |
1 Room | 438, 5.08%, see rank | 1.60% | 1.95% |
2 Rooms | 150, 1.74%, see rank | 2.07% | 2.36% |
3 Rooms | 829, 9.62%, see rank | 10.10% | 8.97% |
4 Rooms | 3,844, 44.61%, see rank | 21.59% | 16.57% |
5 Rooms | 1,709, 19.84%, see rank | 23.45% | 20.41% |
6 Rooms | 839, 9.74%, see rank | 18.16% | 18.25% |
7 Rooms | 402, 4.67%, see rank | 10.93% | 12.38% |
8 Rooms | 222, 2.58%, see rank | 6.37% | 8.59% |
9 Rooms or More | 183, 2.12%, see rank | 5.73% | 10.52% |
Median Rooms | 4.30, see rank | 5.10 | 5.50 |
US Census 2000 data
| 33767 Zip Code | Florida | U.S. |
Total Housing Units | 8,831, 100% | 7,302,947 | 115,904,641 |
1 Room | 162, 1.83%, see rank | 2.37% | 2.20% |
2 Rooms | 438, 4.96%, see rank | 6.06% | 4.81% |
3 Rooms | 980, 11.10%, see rank | 11.51% | 9.84% |
4 Rooms | 2,476, 28.04%, see rank | 19.42% | 15.97% |
5 Rooms | 2,893, 32.76%, see rank | 22.70% | 20.89% |
6 Rooms | 910, 10.30%, see rank | 17.74% | 18.45% |
7 Rooms | 572, 6.48%, see rank | 10.60% | 12.06% |
8 Rooms | 195, 2.21%, see rank | 5.76% | 8.06% |
9 Rooms or More | 205, 2.32%, see rank | 3.85% | 7.70% |
Median Rooms | 4.60, 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.