33445 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 33445 Zip Code | Florida | U.S. |
Total Housing Units | 16,843, 100% | 9,051,851 | 132,741,033 |
1 Room | 62, 0.37%, see rank | 1.65% | 1.95% |
2 Rooms | 551, 3.27%, see rank | 2.16% | 2.48% |
3 Rooms | 2,391, 14.20%, see rank | 10.38% | 9.13% |
4 Rooms | 5,830, 34.61%, see rank | 21.92% | 16.60% |
5 Rooms | 3,837, 22.78%, see rank | 23.70% | 20.41% |
6 Rooms | 1,987, 11.80%, see rank | 17.82% | 18.06% |
7 Rooms | 1,063, 6.31%, see rank | 10.59% | 12.27% |
8 Rooms | 612, 3.63%, see rank | 6.13% | 8.48% |
9 Rooms or More | 510, 3.03%, see rank | 5.66% | 10.60% |
Median Rooms | 4.40, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 33445 Zip Code | Florida | U.S. |
Total Housing Units | 17,131, 100% | 8,983,414 | 131,642,457 |
1 Room | 107, 0.62%, see rank | 1.60% | 1.95% |
2 Rooms | 319, 1.86%, see rank | 2.07% | 2.36% |
3 Rooms | 2,294, 13.39%, see rank | 10.10% | 8.97% |
4 Rooms | 5,743, 33.52%, see rank | 21.59% | 16.57% |
5 Rooms | 4,013, 23.43%, see rank | 23.45% | 20.41% |
6 Rooms | 2,322, 13.55%, see rank | 18.16% | 18.25% |
7 Rooms | 1,227, 7.16%, see rank | 10.93% | 12.38% |
8 Rooms | 515, 3.01%, see rank | 6.37% | 8.59% |
9 Rooms or More | 591, 3.45%, see rank | 5.73% | 10.52% |
Median Rooms | 4.50, see rank | 5.10 | 5.50 |
US Census 2000 data
| 33445 Zip Code | Florida | U.S. |
Total Housing Units | 15,543, 100% | 7,302,947 | 115,904,641 |
1 Room | 105, 0.68%, see rank | 2.37% | 2.20% |
2 Rooms | 479, 3.08%, see rank | 6.06% | 4.81% |
3 Rooms | 1,869, 12.02%, see rank | 11.51% | 9.84% |
4 Rooms | 4,801, 30.89%, see rank | 19.42% | 15.97% |
5 Rooms | 4,246, 27.32%, see rank | 22.70% | 20.89% |
6 Rooms | 2,118, 13.63%, see rank | 17.74% | 18.45% |
7 Rooms | 1,082, 6.96%, see rank | 10.60% | 12.06% |
8 Rooms | 555, 3.57%, see rank | 5.76% | 8.06% |
9 Rooms or More | 288, 1.85%, 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.