33776 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 33776 Zip Code | Florida | U.S. |
Total Housing Units | 5,712, 100% | 9,051,851 | 132,741,033 |
1 Room | 15, 0.26%, see rank | 1.65% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 2.16% | 2.48% |
3 Rooms | 59, 1.03%, see rank | 10.38% | 9.13% |
4 Rooms | 424, 7.42%, see rank | 21.92% | 16.60% |
5 Rooms | 1,445, 25.30%, see rank | 23.70% | 20.41% |
6 Rooms | 1,281, 22.43%, see rank | 17.82% | 18.06% |
7 Rooms | 1,208, 21.15%, see rank | 10.59% | 12.27% |
8 Rooms | 562, 9.84%, see rank | 6.13% | 8.48% |
9 Rooms or More | 718, 12.57%, see rank | 5.66% | 10.60% |
Median Rooms | 6.20, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 33776 Zip Code | Florida | U.S. |
Total Housing Units | 5,714, 100% | 8,983,414 | 131,642,457 |
1 Room | 7, 0.12%, see rank | 1.60% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 2.07% | 2.36% |
3 Rooms | 97, 1.70%, see rank | 10.10% | 8.97% |
4 Rooms | 492, 8.61%, see rank | 21.59% | 16.57% |
5 Rooms | 1,048, 18.34%, see rank | 23.45% | 20.41% |
6 Rooms | 1,646, 28.81%, see rank | 18.16% | 18.25% |
7 Rooms | 1,121, 19.62%, see rank | 10.93% | 12.38% |
8 Rooms | 584, 10.22%, see rank | 6.37% | 8.59% |
9 Rooms or More | 719, 12.58%, see rank | 5.73% | 10.52% |
Median Rooms | 6.20, see rank | 5.10 | 5.50 |
US Census 2000 data
| 33776 Zip Code | Florida | U.S. |
Total Housing Units | 5,459, 100% | 7,302,947 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 2.37% | 2.20% |
2 Rooms | 56, 1.03%, see rank | 6.06% | 4.81% |
3 Rooms | 133, 2.44%, see rank | 11.51% | 9.84% |
4 Rooms | 476, 8.72%, see rank | 19.42% | 15.97% |
5 Rooms | 1,059, 19.40%, see rank | 22.70% | 20.89% |
6 Rooms | 1,462, 26.78%, see rank | 17.74% | 18.45% |
7 Rooms | 1,057, 19.36%, see rank | 10.60% | 12.06% |
8 Rooms | 810, 14.84%, see rank | 5.76% | 8.06% |
9 Rooms or More | 406, 7.44%, see rank | 3.85% | 7.70% |
Median Rooms | 6.20, 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.