33762 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 33762 Zip Code | Florida | U.S. |
Total Housing Units | 3,294, 100% | 9,051,851 | 132,741,033 |
1 Room | 5, 0.15%, see rank | 1.65% | 1.95% |
2 Rooms | 74, 2.25%, see rank | 2.16% | 2.48% |
3 Rooms | 370, 11.23%, see rank | 10.38% | 9.13% |
4 Rooms | 988, 29.99%, see rank | 21.92% | 16.60% |
5 Rooms | 687, 20.86%, see rank | 23.70% | 20.41% |
6 Rooms | 414, 12.57%, see rank | 17.82% | 18.06% |
7 Rooms | 336, 10.20%, see rank | 10.59% | 12.27% |
8 Rooms | 212, 6.44%, see rank | 6.13% | 8.48% |
9 Rooms or More | 208, 6.31%, see rank | 5.66% | 10.60% |
Median Rooms | 4.80, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 33762 Zip Code | Florida | U.S. |
Total Housing Units | 3,150, 100% | 8,983,414 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.60% | 1.95% |
2 Rooms | 79, 2.51%, see rank | 2.07% | 2.36% |
3 Rooms | 377, 11.97%, see rank | 10.10% | 8.97% |
4 Rooms | 1,042, 33.08%, see rank | 21.59% | 16.57% |
5 Rooms | 616, 19.56%, see rank | 23.45% | 20.41% |
6 Rooms | 416, 13.21%, see rank | 18.16% | 18.25% |
7 Rooms | 315, 10.00%, see rank | 10.93% | 12.38% |
8 Rooms | 135, 4.29%, see rank | 6.37% | 8.59% |
9 Rooms or More | 170, 5.40%, see rank | 5.73% | 10.52% |
Median Rooms | 4.60, see rank | 5.10 | 5.50 |
US Census 2000 data
| 33762 Zip Code | Florida | U.S. |
Total Housing Units | 4,228, 100% | 7,302,947 | 115,904,641 |
1 Room | 49, 1.16%, see rank | 2.37% | 2.20% |
2 Rooms | 187, 4.42%, see rank | 6.06% | 4.81% |
3 Rooms | 577, 13.65%, see rank | 11.51% | 9.84% |
4 Rooms | 1,159, 27.41%, see rank | 19.42% | 15.97% |
5 Rooms | 1,004, 23.75%, see rank | 22.70% | 20.89% |
6 Rooms | 606, 14.33%, see rank | 17.74% | 18.45% |
7 Rooms | 279, 6.60%, see rank | 10.60% | 12.06% |
8 Rooms | 222, 5.25%, see rank | 5.76% | 8.06% |
9 Rooms or More | 145, 3.43%, 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.