33770 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 33770 Zip Code | Florida | U.S. |
Total Housing Units | 14,457, 100% | 9,051,851 | 132,741,033 |
1 Room | 504, 3.49%, see rank | 1.65% | 1.95% |
2 Rooms | 324, 2.24%, see rank | 2.16% | 2.48% |
3 Rooms | 2,832, 19.59%, see rank | 10.38% | 9.13% |
4 Rooms | 4,033, 27.90%, see rank | 21.92% | 16.60% |
5 Rooms | 3,061, 21.17%, see rank | 23.70% | 20.41% |
6 Rooms | 1,961, 13.56%, see rank | 17.82% | 18.06% |
7 Rooms | 886, 6.13%, see rank | 10.59% | 12.27% |
8 Rooms | 531, 3.67%, see rank | 6.13% | 8.48% |
9 Rooms or More | 325, 2.25%, see rank | 5.66% | 10.60% |
Median Rooms | 4.40, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 33770 Zip Code | Florida | U.S. |
Total Housing Units | 14,828, 100% | 8,983,414 | 131,642,457 |
1 Room | 627, 4.23%, see rank | 1.60% | 1.95% |
2 Rooms | 467, 3.15%, see rank | 2.07% | 2.36% |
3 Rooms | 2,617, 17.65%, see rank | 10.10% | 8.97% |
4 Rooms | 3,898, 26.29%, see rank | 21.59% | 16.57% |
5 Rooms | 3,257, 21.97%, see rank | 23.45% | 20.41% |
6 Rooms | 2,062, 13.91%, see rank | 18.16% | 18.25% |
7 Rooms | 1,036, 6.99%, see rank | 10.93% | 12.38% |
8 Rooms | 546, 3.68%, see rank | 6.37% | 8.59% |
9 Rooms or More | 318, 2.14%, see rank | 5.73% | 10.52% |
Median Rooms | 4.40, see rank | 5.10 | 5.50 |
US Census 2000 data
| 33770 Zip Code | Florida | U.S. |
Total Housing Units | 13,697, 100% | 7,302,947 | 115,904,641 |
1 Room | 203, 1.48%, see rank | 2.37% | 2.20% |
2 Rooms | 638, 4.66%, see rank | 6.06% | 4.81% |
3 Rooms | 2,302, 16.81%, see rank | 11.51% | 9.84% |
4 Rooms | 3,452, 25.20%, see rank | 19.42% | 15.97% |
5 Rooms | 3,298, 24.08%, see rank | 22.70% | 20.89% |
6 Rooms | 2,025, 14.78%, see rank | 17.74% | 18.45% |
7 Rooms | 935, 6.83%, see rank | 10.60% | 12.06% |
8 Rooms | 443, 3.23%, see rank | 5.76% | 8.06% |
9 Rooms or More | 401, 2.93%, see rank | 3.85% | 7.70% |
Median Rooms | 4.60, 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.