33774 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 33774 Zip Code | Florida | U.S. |
Total Housing Units | 10,135, 100% | 9,051,851 | 132,741,033 |
1 Room | 227, 2.24%, see rank | 1.65% | 1.95% |
2 Rooms | 325, 3.21%, see rank | 2.16% | 2.48% |
3 Rooms | 973, 9.60%, see rank | 10.38% | 9.13% |
4 Rooms | 2,620, 25.85%, see rank | 21.92% | 16.60% |
5 Rooms | 2,431, 23.99%, see rank | 23.70% | 20.41% |
6 Rooms | 1,795, 17.71%, see rank | 17.82% | 18.06% |
7 Rooms | 824, 8.13%, see rank | 10.59% | 12.27% |
8 Rooms | 449, 4.43%, see rank | 6.13% | 8.48% |
9 Rooms or More | 491, 4.84%, see rank | 5.66% | 10.60% |
Median Rooms | 4.90, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 33774 Zip Code | Florida | U.S. |
Total Housing Units | 10,017, 100% | 8,983,414 | 131,642,457 |
1 Room | 220, 2.20%, see rank | 1.60% | 1.95% |
2 Rooms | 424, 4.23%, see rank | 2.07% | 2.36% |
3 Rooms | 1,163, 11.61%, see rank | 10.10% | 8.97% |
4 Rooms | 2,479, 24.75%, see rank | 21.59% | 16.57% |
5 Rooms | 2,017, 20.14%, see rank | 23.45% | 20.41% |
6 Rooms | 1,594, 15.91%, see rank | 18.16% | 18.25% |
7 Rooms | 1,061, 10.59%, see rank | 10.93% | 12.38% |
8 Rooms | 570, 5.69%, see rank | 6.37% | 8.59% |
9 Rooms or More | 489, 4.88%, see rank | 5.73% | 10.52% |
Median Rooms | 4.90, see rank | 5.10 | 5.50 |
US Census 2000 data
| 33774 Zip Code | Florida | U.S. |
Total Housing Units | 9,733, 100% | 7,302,947 | 115,904,641 |
1 Room | 124, 1.27%, see rank | 2.37% | 2.20% |
2 Rooms | 601, 6.17%, see rank | 6.06% | 4.81% |
3 Rooms | 1,088, 11.18%, see rank | 11.51% | 9.84% |
4 Rooms | 2,027, 20.83%, see rank | 19.42% | 15.97% |
5 Rooms | 2,312, 23.75%, see rank | 22.70% | 20.89% |
6 Rooms | 1,699, 17.46%, see rank | 17.74% | 18.45% |
7 Rooms | 1,161, 11.93%, see rank | 10.60% | 12.06% |
8 Rooms | 469, 4.82%, see rank | 5.76% | 8.06% |
9 Rooms or More | 252, 2.59%, 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.