34432 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 34432 Zip Code | Florida | U.S. |
Total Housing Units | 6,238, 100% | 9,051,851 | 132,741,033 |
1 Room | 130, 2.08%, see rank | 1.65% | 1.95% |
2 Rooms | 156, 2.50%, see rank | 2.16% | 2.48% |
3 Rooms | 385, 6.17%, see rank | 10.38% | 9.13% |
4 Rooms | 867, 13.90%, see rank | 21.92% | 16.60% |
5 Rooms | 1,607, 25.76%, see rank | 23.70% | 20.41% |
6 Rooms | 1,720, 27.57%, see rank | 17.82% | 18.06% |
7 Rooms | 625, 10.02%, see rank | 10.59% | 12.27% |
8 Rooms | 472, 7.57%, see rank | 6.13% | 8.48% |
9 Rooms or More | 276, 4.42%, see rank | 5.66% | 10.60% |
Median Rooms | 5.50, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 34432 Zip Code | Florida | U.S. |
Total Housing Units | 6,178, 100% | 8,983,414 | 131,642,457 |
1 Room | 15, 0.24%, see rank | 1.60% | 1.95% |
2 Rooms | 144, 2.33%, see rank | 2.07% | 2.36% |
3 Rooms | 359, 5.81%, see rank | 10.10% | 8.97% |
4 Rooms | 1,100, 17.81%, see rank | 21.59% | 16.57% |
5 Rooms | 1,382, 22.37%, see rank | 23.45% | 20.41% |
6 Rooms | 1,776, 28.75%, see rank | 18.16% | 18.25% |
7 Rooms | 722, 11.69%, see rank | 10.93% | 12.38% |
8 Rooms | 476, 7.70%, see rank | 6.37% | 8.59% |
9 Rooms or More | 204, 3.30%, see rank | 5.73% | 10.52% |
Median Rooms | 5.60, see rank | 5.10 | 5.50 |
US Census 2000 data
| 34432 Zip Code | Florida | U.S. |
Total Housing Units | 4,834, 100% | 7,302,947 | 115,904,641 |
1 Room | 7, 0.14%, see rank | 2.37% | 2.20% |
2 Rooms | 73, 1.51%, see rank | 6.06% | 4.81% |
3 Rooms | 185, 3.83%, see rank | 11.51% | 9.84% |
4 Rooms | 782, 16.18%, see rank | 19.42% | 15.97% |
5 Rooms | 1,380, 28.55%, see rank | 22.70% | 20.89% |
6 Rooms | 1,417, 29.31%, see rank | 17.74% | 18.45% |
7 Rooms | 693, 14.34%, see rank | 10.60% | 12.06% |
8 Rooms | 197, 4.08%, see rank | 5.76% | 8.06% |
9 Rooms or More | 100, 2.07%, see rank | 3.85% | 7.70% |
Median Rooms | 5.50, 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.