33182 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 33182 Zip Code | Florida | U.S. |
Total Housing Units | 3,881, 100% | 9,051,851 | 132,741,033 |
1 Room | 19, 0.49%, see rank | 1.65% | 1.95% |
2 Rooms | 11, 0.28%, see rank | 2.16% | 2.48% |
3 Rooms | 42, 1.08%, see rank | 10.38% | 9.13% |
4 Rooms | 273, 7.03%, see rank | 21.92% | 16.60% |
5 Rooms | 1,462, 37.67%, see rank | 23.70% | 20.41% |
6 Rooms | 973, 25.07%, see rank | 17.82% | 18.06% |
7 Rooms | 612, 15.77%, see rank | 10.59% | 12.27% |
8 Rooms | 296, 7.63%, see rank | 6.13% | 8.48% |
9 Rooms or More | 193, 4.97%, see rank | 5.66% | 10.60% |
Median Rooms | 5.60, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 33182 Zip Code | Florida | U.S. |
Total Housing Units | 3,893, 100% | 8,983,414 | 131,642,457 |
1 Room | 44, 1.13%, see rank | 1.60% | 1.95% |
2 Rooms | 14, 0.36%, see rank | 2.07% | 2.36% |
3 Rooms | 15, 0.39%, see rank | 10.10% | 8.97% |
4 Rooms | 330, 8.48%, see rank | 21.59% | 16.57% |
5 Rooms | 1,503, 38.61%, see rank | 23.45% | 20.41% |
6 Rooms | 1,054, 27.07%, see rank | 18.16% | 18.25% |
7 Rooms | 446, 11.46%, see rank | 10.93% | 12.38% |
8 Rooms | 294, 7.55%, see rank | 6.37% | 8.59% |
9 Rooms or More | 193, 4.96%, see rank | 5.73% | 10.52% |
Median Rooms | 5.50, see rank | 5.10 | 5.50 |
US Census 2000 data
| 33182 Zip Code | Florida | U.S. |
Total Housing Units | 3,968, 100% | 7,302,947 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 2.37% | 2.20% |
2 Rooms | 105, 2.65%, see rank | 6.06% | 4.81% |
3 Rooms | 1,069, 26.94%, see rank | 11.51% | 9.84% |
4 Rooms | 189, 4.76%, see rank | 19.42% | 15.97% |
5 Rooms | 551, 13.89%, see rank | 22.70% | 20.89% |
6 Rooms | 629, 15.85%, see rank | 17.74% | 18.45% |
7 Rooms | 740, 18.65%, see rank | 10.60% | 12.06% |
8 Rooms | 436, 10.99%, see rank | 5.76% | 8.06% |
9 Rooms or More | 249, 6.28%, see rank | 3.85% | 7.70% |
Median Rooms | 5.60, 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.