33323 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 33323 Zip Code | Florida | U.S. |
Total Housing Units | 7,299, 100% | 9,051,851 | 132,741,033 |
1 Room | 49, 0.67%, see rank | 1.65% | 1.95% |
2 Rooms | 44, 0.60%, see rank | 2.16% | 2.48% |
3 Rooms | 623, 8.54%, see rank | 10.38% | 9.13% |
4 Rooms | 1,193, 16.34%, see rank | 21.92% | 16.60% |
5 Rooms | 1,694, 23.21%, see rank | 23.70% | 20.41% |
6 Rooms | 1,710, 23.43%, see rank | 17.82% | 18.06% |
7 Rooms | 1,109, 15.19%, see rank | 10.59% | 12.27% |
8 Rooms | 522, 7.15%, see rank | 6.13% | 8.48% |
9 Rooms or More | 355, 4.86%, see rank | 5.66% | 10.60% |
Median Rooms | 5.50, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 33323 Zip Code | Florida | U.S. |
Total Housing Units | 6,973, 100% | 8,983,414 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.60% | 1.95% |
2 Rooms | 27, 0.39%, see rank | 2.07% | 2.36% |
3 Rooms | 457, 6.55%, see rank | 10.10% | 8.97% |
4 Rooms | 1,063, 15.24%, see rank | 21.59% | 16.57% |
5 Rooms | 1,684, 24.15%, see rank | 23.45% | 20.41% |
6 Rooms | 1,544, 22.14%, see rank | 18.16% | 18.25% |
7 Rooms | 1,279, 18.34%, see rank | 10.93% | 12.38% |
8 Rooms | 524, 7.51%, see rank | 6.37% | 8.59% |
9 Rooms or More | 395, 5.66%, see rank | 5.73% | 10.52% |
Median Rooms | 5.70, see rank | 5.10 | 5.50 |
US Census 2000 data
| 33323 Zip Code | Florida | U.S. |
Total Housing Units | 6,085, 100% | 7,302,947 | 115,904,641 |
1 Room | 55, 0.90%, see rank | 2.37% | 2.20% |
2 Rooms | 108, 1.77%, see rank | 6.06% | 4.81% |
3 Rooms | 525, 8.63%, see rank | 11.51% | 9.84% |
4 Rooms | 528, 8.68%, see rank | 19.42% | 15.97% |
5 Rooms | 1,125, 18.49%, see rank | 22.70% | 20.89% |
6 Rooms | 1,366, 22.45%, see rank | 17.74% | 18.45% |
7 Rooms | 1,221, 20.07%, see rank | 10.60% | 12.06% |
8 Rooms | 793, 13.03%, see rank | 5.76% | 8.06% |
9 Rooms or More | 364, 5.98%, see rank | 3.85% | 7.70% |
Median Rooms | 6.00, 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.