33463 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 33463 Zip Code | Florida | U.S. |
Total Housing Units | 19,991, 100% | 9,051,851 | 132,741,033 |
1 Room | 92, 0.46%, see rank | 1.65% | 1.95% |
2 Rooms | 54, 0.27%, see rank | 2.16% | 2.48% |
3 Rooms | 1,023, 5.12%, see rank | 10.38% | 9.13% |
4 Rooms | 5,387, 26.95%, see rank | 21.92% | 16.60% |
5 Rooms | 5,440, 27.21%, see rank | 23.70% | 20.41% |
6 Rooms | 3,768, 18.85%, see rank | 17.82% | 18.06% |
7 Rooms | 1,731, 8.66%, see rank | 10.59% | 12.27% |
8 Rooms | 1,281, 6.41%, see rank | 6.13% | 8.48% |
9 Rooms or More | 1,215, 6.08%, see rank | 5.66% | 10.60% |
Median Rooms | 5.10, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 33463 Zip Code | Florida | U.S. |
Total Housing Units | 19,939, 100% | 8,983,414 | 131,642,457 |
1 Room | 64, 0.32%, see rank | 1.60% | 1.95% |
2 Rooms | 43, 0.22%, see rank | 2.07% | 2.36% |
3 Rooms | 992, 4.98%, see rank | 10.10% | 8.97% |
4 Rooms | 5,926, 29.72%, see rank | 21.59% | 16.57% |
5 Rooms | 5,294, 26.55%, see rank | 23.45% | 20.41% |
6 Rooms | 3,723, 18.67%, see rank | 18.16% | 18.25% |
7 Rooms | 1,614, 8.09%, see rank | 10.93% | 12.38% |
8 Rooms | 1,151, 5.77%, see rank | 6.37% | 8.59% |
9 Rooms or More | 1,132, 5.68%, see rank | 5.73% | 10.52% |
Median Rooms | 5.10, see rank | 5.10 | 5.50 |
US Census 2000 data
| 33463 Zip Code | Florida | U.S. |
Total Housing Units | 17,039, 100% | 7,302,947 | 115,904,641 |
1 Room | 83, 0.49%, see rank | 2.37% | 2.20% |
2 Rooms | 849, 4.98%, see rank | 6.06% | 4.81% |
3 Rooms | 1,918, 11.26%, see rank | 11.51% | 9.84% |
4 Rooms | 4,039, 23.70%, see rank | 19.42% | 15.97% |
5 Rooms | 4,329, 25.41%, see rank | 22.70% | 20.89% |
6 Rooms | 3,416, 20.05%, see rank | 17.74% | 18.45% |
7 Rooms | 1,396, 8.19%, see rank | 10.60% | 12.06% |
8 Rooms | 735, 4.31%, see rank | 5.76% | 8.06% |
9 Rooms or More | 274, 1.61%, 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.