33146 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 33146 Zip Code | Florida | U.S. |
Total Housing Units | 4,683, 100% | 9,051,851 | 132,741,033 |
1 Room | 25, 0.53%, see rank | 1.65% | 1.95% |
2 Rooms | 94, 2.01%, see rank | 2.16% | 2.48% |
3 Rooms | 437, 9.33%, see rank | 10.38% | 9.13% |
4 Rooms | 278, 5.94%, see rank | 21.92% | 16.60% |
5 Rooms | 704, 15.03%, see rank | 23.70% | 20.41% |
6 Rooms | 826, 17.64%, see rank | 17.82% | 18.06% |
7 Rooms | 1,265, 27.01%, see rank | 10.59% | 12.27% |
8 Rooms | 463, 9.89%, see rank | 6.13% | 8.48% |
9 Rooms or More | 591, 12.62%, see rank | 5.66% | 10.60% |
Median Rooms | 6.50, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 33146 Zip Code | Florida | U.S. |
Total Housing Units | 4,476, 100% | 8,983,414 | 131,642,457 |
1 Room | 30, 0.67%, see rank | 1.60% | 1.95% |
2 Rooms | 87, 1.94%, see rank | 2.07% | 2.36% |
3 Rooms | 347, 7.75%, see rank | 10.10% | 8.97% |
4 Rooms | 311, 6.95%, see rank | 21.59% | 16.57% |
5 Rooms | 718, 16.04%, see rank | 23.45% | 20.41% |
6 Rooms | 866, 19.35%, see rank | 18.16% | 18.25% |
7 Rooms | 1,179, 26.34%, see rank | 10.93% | 12.38% |
8 Rooms | 417, 9.32%, see rank | 6.37% | 8.59% |
9 Rooms or More | 521, 11.64%, see rank | 5.73% | 10.52% |
Median Rooms | 6.40, see rank | 5.10 | 5.50 |
US Census 2000 data
| 33146 Zip Code | Florida | U.S. |
Total Housing Units | 4,134, 100% | 7,302,947 | 115,904,641 |
1 Room | 50, 1.21%, see rank | 2.37% | 2.20% |
2 Rooms | 163, 3.94%, see rank | 6.06% | 4.81% |
3 Rooms | 359, 8.68%, see rank | 11.51% | 9.84% |
4 Rooms | 231, 5.59%, see rank | 19.42% | 15.97% |
5 Rooms | 508, 12.29%, see rank | 22.70% | 20.89% |
6 Rooms | 846, 20.46%, see rank | 17.74% | 18.45% |
7 Rooms | 885, 21.41%, see rank | 10.60% | 12.06% |
8 Rooms | 561, 13.57%, see rank | 5.76% | 8.06% |
9 Rooms or More | 531, 12.84%, see rank | 3.85% | 7.70% |
Median Rooms | 6.40, 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.