34232 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 34232 Zip Code | Florida | U.S. |
Total Housing Units | 15,061, 100% | 9,051,851 | 132,741,033 |
1 Room | 230, 1.53%, see rank | 1.65% | 1.95% |
2 Rooms | 106, 0.70%, see rank | 2.16% | 2.48% |
3 Rooms | 1,079, 7.16%, see rank | 10.38% | 9.13% |
4 Rooms | 2,991, 19.86%, see rank | 21.92% | 16.60% |
5 Rooms | 4,505, 29.91%, see rank | 23.70% | 20.41% |
6 Rooms | 2,998, 19.91%, see rank | 17.82% | 18.06% |
7 Rooms | 1,851, 12.29%, see rank | 10.59% | 12.27% |
8 Rooms | 803, 5.33%, see rank | 6.13% | 8.48% |
9 Rooms or More | 498, 3.31%, see rank | 5.66% | 10.60% |
Median Rooms | 5.20, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 34232 Zip Code | Florida | U.S. |
Total Housing Units | 14,791, 100% | 8,983,414 | 131,642,457 |
1 Room | 200, 1.35%, see rank | 1.60% | 1.95% |
2 Rooms | 173, 1.17%, see rank | 2.07% | 2.36% |
3 Rooms | 918, 6.21%, see rank | 10.10% | 8.97% |
4 Rooms | 2,690, 18.19%, see rank | 21.59% | 16.57% |
5 Rooms | 3,921, 26.51%, see rank | 23.45% | 20.41% |
6 Rooms | 3,672, 24.83%, see rank | 18.16% | 18.25% |
7 Rooms | 1,817, 12.28%, see rank | 10.93% | 12.38% |
8 Rooms | 894, 6.04%, see rank | 6.37% | 8.59% |
9 Rooms or More | 506, 3.42%, see rank | 5.73% | 10.52% |
Median Rooms | 5.40, see rank | 5.10 | 5.50 |
US Census 2000 data
| 34232 Zip Code | Florida | U.S. |
Total Housing Units | 14,232, 100% | 7,302,947 | 115,904,641 |
1 Room | 116, 0.82%, see rank | 2.37% | 2.20% |
2 Rooms | 273, 1.92%, see rank | 6.06% | 4.81% |
3 Rooms | 987, 6.94%, see rank | 11.51% | 9.84% |
4 Rooms | 2,243, 15.76%, see rank | 19.42% | 15.97% |
5 Rooms | 3,952, 27.77%, see rank | 22.70% | 20.89% |
6 Rooms | 3,425, 24.07%, see rank | 17.74% | 18.45% |
7 Rooms | 1,957, 13.75%, see rank | 10.60% | 12.06% |
8 Rooms | 848, 5.96%, see rank | 5.76% | 8.06% |
9 Rooms or More | 431, 3.03%, see rank | 3.85% | 7.70% |
Median Rooms | 5.40, 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.