32976 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 32976 Zip Code | Florida | U.S. |
Total Housing Units | 6,496, 100% | 9,051,851 | 132,741,033 |
1 Room | 17, 0.26%, see rank | 1.65% | 1.95% |
2 Rooms | 40, 0.62%, see rank | 2.16% | 2.48% |
3 Rooms | 251, 3.86%, see rank | 10.38% | 9.13% |
4 Rooms | 1,861, 28.65%, see rank | 21.92% | 16.60% |
5 Rooms | 2,515, 38.72%, see rank | 23.70% | 20.41% |
6 Rooms | 1,010, 15.55%, see rank | 17.82% | 18.06% |
7 Rooms | 542, 8.34%, see rank | 10.59% | 12.27% |
8 Rooms | 175, 2.69%, see rank | 6.13% | 8.48% |
9 Rooms or More | 85, 1.31%, see rank | 5.66% | 10.60% |
Median Rooms | 4.90, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 32976 Zip Code | Florida | U.S. |
Total Housing Units | 6,562, 100% | 8,983,414 | 131,642,457 |
1 Room | 32, 0.49%, see rank | 1.60% | 1.95% |
2 Rooms | 53, 0.81%, see rank | 2.07% | 2.36% |
3 Rooms | 162, 2.47%, see rank | 10.10% | 8.97% |
4 Rooms | 1,821, 27.75%, see rank | 21.59% | 16.57% |
5 Rooms | 2,481, 37.81%, see rank | 23.45% | 20.41% |
6 Rooms | 1,278, 19.48%, see rank | 18.16% | 18.25% |
7 Rooms | 483, 7.36%, see rank | 10.93% | 12.38% |
8 Rooms | 217, 3.31%, see rank | 6.37% | 8.59% |
9 Rooms or More | 35, 0.53%, see rank | 5.73% | 10.52% |
Median Rooms | 5.00, see rank | 5.10 | 5.50 |
US Census 2000 data
| 32976 Zip Code | Florida | U.S. |
Total Housing Units | 6,503, 100% | 7,302,947 | 115,904,641 |
1 Room | 11, 0.17%, see rank | 2.37% | 2.20% |
2 Rooms | 116, 1.78%, see rank | 6.06% | 4.81% |
3 Rooms | 338, 5.20%, see rank | 11.51% | 9.84% |
4 Rooms | 1,755, 26.99%, see rank | 19.42% | 15.97% |
5 Rooms | 2,602, 40.01%, see rank | 22.70% | 20.89% |
6 Rooms | 1,248, 19.19%, see rank | 17.74% | 18.45% |
7 Rooms | 253, 3.89%, see rank | 10.60% | 12.06% |
8 Rooms | 100, 1.54%, see rank | 5.76% | 8.06% |
9 Rooms or More | 80, 1.23%, 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.