32254 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 32254 Zip Code | Florida | U.S. |
Total Housing Units | 6,109, 100% | 9,051,851 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.65% | 1.95% |
2 Rooms | 72, 1.18%, see rank | 2.16% | 2.48% |
3 Rooms | 268, 4.39%, see rank | 10.38% | 9.13% |
4 Rooms | 1,181, 19.33%, see rank | 21.92% | 16.60% |
5 Rooms | 1,997, 32.69%, see rank | 23.70% | 20.41% |
6 Rooms | 1,626, 26.62%, see rank | 17.82% | 18.06% |
7 Rooms | 547, 8.95%, see rank | 10.59% | 12.27% |
8 Rooms | 300, 4.91%, see rank | 6.13% | 8.48% |
9 Rooms or More | 118, 1.93%, see rank | 5.66% | 10.60% |
Median Rooms | 5.30, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 32254 Zip Code | Florida | U.S. |
Total Housing Units | 6,138, 100% | 8,983,414 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.60% | 1.95% |
2 Rooms | 57, 0.93%, see rank | 2.07% | 2.36% |
3 Rooms | 157, 2.56%, see rank | 10.10% | 8.97% |
4 Rooms | 1,062, 17.30%, see rank | 21.59% | 16.57% |
5 Rooms | 2,196, 35.78%, see rank | 23.45% | 20.41% |
6 Rooms | 1,692, 27.57%, see rank | 18.16% | 18.25% |
7 Rooms | 487, 7.93%, see rank | 10.93% | 12.38% |
8 Rooms | 365, 5.95%, see rank | 6.37% | 8.59% |
9 Rooms or More | 122, 1.99%, see rank | 5.73% | 10.52% |
Median Rooms | 5.30, see rank | 5.10 | 5.50 |
US Census 2000 data
| 32254 Zip Code | Florida | U.S. |
Total Housing Units | 6,049, 100% | 7,302,947 | 115,904,641 |
1 Room | 60, 0.99%, see rank | 2.37% | 2.20% |
2 Rooms | 244, 4.03%, see rank | 6.06% | 4.81% |
3 Rooms | 596, 9.85%, see rank | 11.51% | 9.84% |
4 Rooms | 1,145, 18.93%, see rank | 19.42% | 15.97% |
5 Rooms | 1,778, 29.39%, see rank | 22.70% | 20.89% |
6 Rooms | 1,413, 23.36%, see rank | 17.74% | 18.45% |
7 Rooms | 460, 7.60%, see rank | 10.60% | 12.06% |
8 Rooms | 302, 4.99%, see rank | 5.76% | 8.06% |
9 Rooms or More | 51, 0.84%, see rank | 3.85% | 7.70% |
Median Rooms | 5.10, 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.