32266 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 32266 Zip Code | Florida | U.S. |
Total Housing Units | 3,534, 100% | 9,051,851 | 132,741,033 |
1 Room | 145, 4.10%, see rank | 1.65% | 1.95% |
2 Rooms | 13, 0.37%, see rank | 2.16% | 2.48% |
3 Rooms | 314, 8.89%, see rank | 10.38% | 9.13% |
4 Rooms | 873, 24.70%, see rank | 21.92% | 16.60% |
5 Rooms | 789, 22.33%, see rank | 23.70% | 20.41% |
6 Rooms | 513, 14.52%, see rank | 17.82% | 18.06% |
7 Rooms | 253, 7.16%, see rank | 10.59% | 12.27% |
8 Rooms | 433, 12.25%, see rank | 6.13% | 8.48% |
9 Rooms or More | 201, 5.69%, see rank | 5.66% | 10.60% |
Median Rooms | 5.00, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 32266 Zip Code | Florida | U.S. |
Total Housing Units | 3,855, 100% | 8,983,414 | 131,642,457 |
1 Room | 118, 3.06%, see rank | 1.60% | 1.95% |
2 Rooms | 29, 0.75%, see rank | 2.07% | 2.36% |
3 Rooms | 462, 11.98%, see rank | 10.10% | 8.97% |
4 Rooms | 865, 22.44%, see rank | 21.59% | 16.57% |
5 Rooms | 856, 22.20%, see rank | 23.45% | 20.41% |
6 Rooms | 581, 15.07%, see rank | 18.16% | 18.25% |
7 Rooms | 142, 3.68%, see rank | 10.93% | 12.38% |
8 Rooms | 466, 12.09%, see rank | 6.37% | 8.59% |
9 Rooms or More | 336, 8.72%, see rank | 5.73% | 10.52% |
Median Rooms | 5.00, see rank | 5.10 | 5.50 |
US Census 2000 data
| 32266 Zip Code | Florida | U.S. |
Total Housing Units | 3,459, 100% | 7,302,947 | 115,904,641 |
1 Room | 45, 1.30%, see rank | 2.37% | 2.20% |
2 Rooms | 128, 3.70%, see rank | 6.06% | 4.81% |
3 Rooms | 298, 8.62%, see rank | 11.51% | 9.84% |
4 Rooms | 593, 17.14%, see rank | 19.42% | 15.97% |
5 Rooms | 695, 20.09%, see rank | 22.70% | 20.89% |
6 Rooms | 702, 20.29%, see rank | 17.74% | 18.45% |
7 Rooms | 473, 13.67%, see rank | 10.60% | 12.06% |
8 Rooms | 245, 7.08%, see rank | 5.76% | 8.06% |
9 Rooms or More | 280, 8.09%, 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.