32669 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 32669 Zip Code | Florida | U.S. |
Total Housing Units | 5,070, 100% | 9,051,851 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.65% | 1.95% |
2 Rooms | 47, 0.93%, see rank | 2.16% | 2.48% |
3 Rooms | 306, 6.04%, see rank | 10.38% | 9.13% |
4 Rooms | 907, 17.89%, see rank | 21.92% | 16.60% |
5 Rooms | 1,573, 31.03%, see rank | 23.70% | 20.41% |
6 Rooms | 811, 16.00%, see rank | 17.82% | 18.06% |
7 Rooms | 637, 12.56%, see rank | 10.59% | 12.27% |
8 Rooms | 373, 7.36%, see rank | 6.13% | 8.48% |
9 Rooms or More | 416, 8.21%, see rank | 5.66% | 10.60% |
Median Rooms | 5.30, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 32669 Zip Code | Florida | U.S. |
Total Housing Units | 5,195, 100% | 8,983,414 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.60% | 1.95% |
2 Rooms | 44, 0.85%, see rank | 2.07% | 2.36% |
3 Rooms | 219, 4.22%, see rank | 10.10% | 8.97% |
4 Rooms | 827, 15.92%, see rank | 21.59% | 16.57% |
5 Rooms | 1,767, 34.01%, see rank | 23.45% | 20.41% |
6 Rooms | 982, 18.90%, see rank | 18.16% | 18.25% |
7 Rooms | 544, 10.47%, see rank | 10.93% | 12.38% |
8 Rooms | 416, 8.01%, see rank | 6.37% | 8.59% |
9 Rooms or More | 396, 7.62%, see rank | 5.73% | 10.52% |
Median Rooms | 5.40, see rank | 5.10 | 5.50 |
US Census 2000 data
| 32669 Zip Code | Florida | U.S. |
Total Housing Units | 3,034, 100% | 7,302,947 | 115,904,641 |
1 Room | 23, 0.76%, see rank | 2.37% | 2.20% |
2 Rooms | 101, 3.33%, see rank | 6.06% | 4.81% |
3 Rooms | 160, 5.27%, see rank | 11.51% | 9.84% |
4 Rooms | 477, 15.72%, see rank | 19.42% | 15.97% |
5 Rooms | 646, 21.29%, see rank | 22.70% | 20.89% |
6 Rooms | 911, 30.03%, see rank | 17.74% | 18.45% |
7 Rooms | 398, 13.12%, see rank | 10.60% | 12.06% |
8 Rooms | 176, 5.80%, see rank | 5.76% | 8.06% |
9 Rooms or More | 142, 4.68%, see rank | 3.85% | 7.70% |
Median Rooms | 5.60, 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.