32626 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 32626 Zip Code | Florida | U.S. |
Total Housing Units | 4,144, 100% | 9,051,851 | 132,741,033 |
1 Room | 33, 0.80%, see rank | 1.65% | 1.95% |
2 Rooms | 94, 2.27%, see rank | 2.16% | 2.48% |
3 Rooms | 258, 6.23%, see rank | 10.38% | 9.13% |
4 Rooms | 993, 23.96%, see rank | 21.92% | 16.60% |
5 Rooms | 1,360, 32.82%, see rank | 23.70% | 20.41% |
6 Rooms | 641, 15.47%, see rank | 17.82% | 18.06% |
7 Rooms | 390, 9.41%, see rank | 10.59% | 12.27% |
8 Rooms | 187, 4.51%, see rank | 6.13% | 8.48% |
9 Rooms or More | 188, 4.54%, see rank | 5.66% | 10.60% |
Median Rooms | 5.00, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 32626 Zip Code | Florida | U.S. |
Total Housing Units | 4,066, 100% | 8,983,414 | 131,642,457 |
1 Room | 9, 0.22%, see rank | 1.60% | 1.95% |
2 Rooms | 61, 1.50%, see rank | 2.07% | 2.36% |
3 Rooms | 181, 4.45%, see rank | 10.10% | 8.97% |
4 Rooms | 1,039, 25.55%, see rank | 21.59% | 16.57% |
5 Rooms | 1,304, 32.07%, see rank | 23.45% | 20.41% |
6 Rooms | 741, 18.22%, see rank | 18.16% | 18.25% |
7 Rooms | 372, 9.15%, see rank | 10.93% | 12.38% |
8 Rooms | 162, 3.98%, see rank | 6.37% | 8.59% |
9 Rooms or More | 197, 4.85%, see rank | 5.73% | 10.52% |
Median Rooms | 5.10, see rank | 5.10 | 5.50 |
US Census 2000 data
| 32626 Zip Code | Florida | U.S. |
Total Housing Units | 3,833, 100% | 7,302,947 | 115,904,641 |
1 Room | 30, 0.78%, see rank | 2.37% | 2.20% |
2 Rooms | 111, 2.90%, see rank | 6.06% | 4.81% |
3 Rooms | 341, 8.90%, see rank | 11.51% | 9.84% |
4 Rooms | 842, 21.97%, see rank | 19.42% | 15.97% |
5 Rooms | 1,062, 27.71%, see rank | 22.70% | 20.89% |
6 Rooms | 884, 23.06%, see rank | 17.74% | 18.45% |
7 Rooms | 360, 9.39%, see rank | 10.60% | 12.06% |
8 Rooms | 147, 3.84%, see rank | 5.76% | 8.06% |
9 Rooms or More | 56, 1.46%, 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.