32148 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 32148 Zip Code | Florida | U.S. |
Total Housing Units | 5,223, 100% | 9,051,851 | 132,741,033 |
1 Room | 21, 0.40%, see rank | 1.65% | 1.95% |
2 Rooms | 35, 0.67%, see rank | 2.16% | 2.48% |
3 Rooms | 653, 12.50%, see rank | 10.38% | 9.13% |
4 Rooms | 883, 16.91%, see rank | 21.92% | 16.60% |
5 Rooms | 1,246, 23.86%, see rank | 23.70% | 20.41% |
6 Rooms | 1,519, 29.08%, see rank | 17.82% | 18.06% |
7 Rooms | 562, 10.76%, see rank | 10.59% | 12.27% |
8 Rooms | 176, 3.37%, see rank | 6.13% | 8.48% |
9 Rooms or More | 128, 2.45%, see rank | 5.66% | 10.60% |
Median Rooms | 5.30, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 32148 Zip Code | Florida | U.S. |
Total Housing Units | 5,310, 100% | 8,983,414 | 131,642,457 |
1 Room | 14, 0.26%, see rank | 1.60% | 1.95% |
2 Rooms | 65, 1.22%, see rank | 2.07% | 2.36% |
3 Rooms | 535, 10.08%, see rank | 10.10% | 8.97% |
4 Rooms | 1,125, 21.19%, see rank | 21.59% | 16.57% |
5 Rooms | 1,374, 25.88%, see rank | 23.45% | 20.41% |
6 Rooms | 1,141, 21.49%, see rank | 18.16% | 18.25% |
7 Rooms | 535, 10.08%, see rank | 10.93% | 12.38% |
8 Rooms | 359, 6.76%, see rank | 6.37% | 8.59% |
9 Rooms or More | 162, 3.05%, see rank | 5.73% | 10.52% |
Median Rooms | 5.20, see rank | 5.10 | 5.50 |
US Census 2000 data
| 32148 Zip Code | Florida | U.S. |
Total Housing Units | 5,371, 100% | 7,302,947 | 115,904,641 |
1 Room | 36, 0.67%, see rank | 2.37% | 2.20% |
2 Rooms | 144, 2.68%, see rank | 6.06% | 4.81% |
3 Rooms | 417, 7.76%, see rank | 11.51% | 9.84% |
4 Rooms | 1,410, 26.25%, see rank | 19.42% | 15.97% |
5 Rooms | 1,522, 28.34%, see rank | 22.70% | 20.89% |
6 Rooms | 993, 18.49%, see rank | 17.74% | 18.45% |
7 Rooms | 479, 8.92%, see rank | 10.60% | 12.06% |
8 Rooms | 197, 3.67%, see rank | 5.76% | 8.06% |
9 Rooms or More | 173, 3.22%, 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.