33873 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 33873 Zip Code | Florida | U.S. |
Total Housing Units | 5,203, 100% | 9,051,851 | 132,741,033 |
1 Room | 71, 1.36%, see rank | 1.65% | 1.95% |
2 Rooms | 152, 2.92%, see rank | 2.16% | 2.48% |
3 Rooms | 594, 11.42%, see rank | 10.38% | 9.13% |
4 Rooms | 1,247, 23.97%, see rank | 21.92% | 16.60% |
5 Rooms | 978, 18.80%, see rank | 23.70% | 20.41% |
6 Rooms | 1,057, 20.32%, see rank | 17.82% | 18.06% |
7 Rooms | 451, 8.67%, see rank | 10.59% | 12.27% |
8 Rooms | 374, 7.19%, see rank | 6.13% | 8.48% |
9 Rooms or More | 279, 5.36%, see rank | 5.66% | 10.60% |
Median Rooms | 5.00, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 33873 Zip Code | Florida | U.S. |
Total Housing Units | 4,944, 100% | 8,983,414 | 131,642,457 |
1 Room | 59, 1.19%, see rank | 1.60% | 1.95% |
2 Rooms | 185, 3.74%, see rank | 2.07% | 2.36% |
3 Rooms | 423, 8.56%, see rank | 10.10% | 8.97% |
4 Rooms | 1,079, 21.82%, see rank | 21.59% | 16.57% |
5 Rooms | 1,204, 24.35%, see rank | 23.45% | 20.41% |
6 Rooms | 901, 18.22%, see rank | 18.16% | 18.25% |
7 Rooms | 540, 10.92%, see rank | 10.93% | 12.38% |
8 Rooms | 299, 6.05%, see rank | 6.37% | 8.59% |
9 Rooms or More | 254, 5.14%, see rank | 5.73% | 10.52% |
Median Rooms | 5.10, see rank | 5.10 | 5.50 |
US Census 2000 data
| 33873 Zip Code | Florida | U.S. |
Total Housing Units | 5,219, 100% | 7,302,947 | 115,904,641 |
1 Room | 167, 3.20%, see rank | 2.37% | 2.20% |
2 Rooms | 416, 7.97%, see rank | 6.06% | 4.81% |
3 Rooms | 622, 11.92%, see rank | 11.51% | 9.84% |
4 Rooms | 874, 16.75%, see rank | 19.42% | 15.97% |
5 Rooms | 1,197, 22.94%, see rank | 22.70% | 20.89% |
6 Rooms | 905, 17.34%, see rank | 17.74% | 18.45% |
7 Rooms | 468, 8.97%, see rank | 10.60% | 12.06% |
8 Rooms | 292, 5.59%, see rank | 5.76% | 8.06% |
9 Rooms or More | 278, 5.33%, see rank | 3.85% | 7.70% |
Median Rooms | 4.90, 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.