33190 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 33190 Zip Code | Florida | U.S. |
Total Housing Units | 4,535, 100% | 9,051,851 | 132,741,033 |
1 Room | 32, 0.71%, see rank | 1.65% | 1.95% |
2 Rooms | 81, 1.79%, see rank | 2.16% | 2.48% |
3 Rooms | 607, 13.38%, see rank | 10.38% | 9.13% |
4 Rooms | 778, 17.16%, see rank | 21.92% | 16.60% |
5 Rooms | 1,422, 31.36%, see rank | 23.70% | 20.41% |
6 Rooms | 918, 20.24%, see rank | 17.82% | 18.06% |
7 Rooms | 382, 8.42%, see rank | 10.59% | 12.27% |
8 Rooms | 201, 4.43%, see rank | 6.13% | 8.48% |
9 Rooms or More | 114, 2.51%, see rank | 5.66% | 10.60% |
Median Rooms | 5.00, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 33190 Zip Code | Florida | U.S. |
Total Housing Units | 4,351, 100% | 8,983,414 | 131,642,457 |
1 Room | 97, 2.23%, see rank | 1.60% | 1.95% |
2 Rooms | 129, 2.96%, see rank | 2.07% | 2.36% |
3 Rooms | 507, 11.65%, see rank | 10.10% | 8.97% |
4 Rooms | 815, 18.73%, see rank | 21.59% | 16.57% |
5 Rooms | 1,602, 36.82%, see rank | 23.45% | 20.41% |
6 Rooms | 692, 15.90%, see rank | 18.16% | 18.25% |
7 Rooms | 284, 6.53%, see rank | 10.93% | 12.38% |
8 Rooms | 127, 2.92%, see rank | 6.37% | 8.59% |
9 Rooms or More | 98, 2.25%, see rank | 5.73% | 10.52% |
Median Rooms | 4.90, see rank | 5.10 | 5.50 |
US Census 2000 data
| 33190 Zip Code | Florida | U.S. |
Total Housing Units | 1,729, 100% | 7,302,947 | 115,904,641 |
1 Room | 151, 8.73%, see rank | 2.37% | 2.20% |
2 Rooms | 152, 8.79%, see rank | 6.06% | 4.81% |
3 Rooms | 441, 25.51%, see rank | 11.51% | 9.84% |
4 Rooms | 132, 7.63%, see rank | 19.42% | 15.97% |
5 Rooms | 355, 20.53%, see rank | 22.70% | 20.89% |
6 Rooms | 274, 15.85%, see rank | 17.74% | 18.45% |
7 Rooms | 117, 6.77%, see rank | 10.60% | 12.06% |
8 Rooms | 78, 4.51%, see rank | 5.76% | 8.06% |
9 Rooms or More | 29, 1.68%, see rank | 3.85% | 7.70% |
Median Rooms | 4.40, 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.