33183 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 33183 Zip Code | Florida | U.S. |
Total Housing Units | 12,631, 100% | 9,051,851 | 132,741,033 |
1 Room | 146, 1.16%, see rank | 1.65% | 1.95% |
2 Rooms | 20, 0.16%, see rank | 2.16% | 2.48% |
3 Rooms | 1,042, 8.25%, see rank | 10.38% | 9.13% |
4 Rooms | 3,510, 27.79%, see rank | 21.92% | 16.60% |
5 Rooms | 3,240, 25.65%, see rank | 23.70% | 20.41% |
6 Rooms | 2,051, 16.24%, see rank | 17.82% | 18.06% |
7 Rooms | 1,497, 11.85%, see rank | 10.59% | 12.27% |
8 Rooms | 656, 5.19%, see rank | 6.13% | 8.48% |
9 Rooms or More | 469, 3.71%, see rank | 5.66% | 10.60% |
Median Rooms | 5.00, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 33183 Zip Code | Florida | U.S. |
Total Housing Units | 12,685, 100% | 8,983,414 | 131,642,457 |
1 Room | 55, 0.43%, see rank | 1.60% | 1.95% |
2 Rooms | 78, 0.61%, see rank | 2.07% | 2.36% |
3 Rooms | 972, 7.66%, see rank | 10.10% | 8.97% |
4 Rooms | 3,473, 27.38%, see rank | 21.59% | 16.57% |
5 Rooms | 3,223, 25.41%, see rank | 23.45% | 20.41% |
6 Rooms | 2,318, 18.27%, see rank | 18.16% | 18.25% |
7 Rooms | 1,461, 11.52%, see rank | 10.93% | 12.38% |
8 Rooms | 639, 5.04%, see rank | 6.37% | 8.59% |
9 Rooms or More | 466, 3.67%, see rank | 5.73% | 10.52% |
Median Rooms | 5.00, see rank | 5.10 | 5.50 |
US Census 2000 data
| 33183 Zip Code | Florida | U.S. |
Total Housing Units | 11,858, 100% | 7,302,947 | 115,904,641 |
1 Room | 124, 1.05%, see rank | 2.37% | 2.20% |
2 Rooms | 1,592, 13.43%, see rank | 6.06% | 4.81% |
3 Rooms | 2,367, 19.96%, see rank | 11.51% | 9.84% |
4 Rooms | 1,899, 16.01%, see rank | 19.42% | 15.97% |
5 Rooms | 2,114, 17.83%, see rank | 22.70% | 20.89% |
6 Rooms | 1,599, 13.48%, see rank | 17.74% | 18.45% |
7 Rooms | 1,125, 9.49%, see rank | 10.60% | 12.06% |
8 Rooms | 694, 5.85%, see rank | 5.76% | 8.06% |
9 Rooms or More | 344, 2.90%, see rank | 3.85% | 7.70% |
Median Rooms | 4.50, 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.