33870 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 33870 Zip Code | Florida | U.S. |
Total Housing Units | 12,054, 100% | 9,051,851 | 132,741,033 |
1 Room | 253, 2.10%, see rank | 1.65% | 1.95% |
2 Rooms | 466, 3.87%, see rank | 2.16% | 2.48% |
3 Rooms | 1,707, 14.16%, see rank | 10.38% | 9.13% |
4 Rooms | 3,436, 28.51%, see rank | 21.92% | 16.60% |
5 Rooms | 2,814, 23.34%, see rank | 23.70% | 20.41% |
6 Rooms | 1,814, 15.05%, see rank | 17.82% | 18.06% |
7 Rooms | 758, 6.29%, see rank | 10.59% | 12.27% |
8 Rooms | 515, 4.27%, see rank | 6.13% | 8.48% |
9 Rooms or More | 291, 2.41%, see rank | 5.66% | 10.60% |
Median Rooms | 4.60, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 33870 Zip Code | Florida | U.S. |
Total Housing Units | 12,292, 100% | 8,983,414 | 131,642,457 |
1 Room | 259, 2.11%, see rank | 1.60% | 1.95% |
2 Rooms | 400, 3.25%, see rank | 2.07% | 2.36% |
3 Rooms | 1,552, 12.63%, see rank | 10.10% | 8.97% |
4 Rooms | 3,206, 26.08%, see rank | 21.59% | 16.57% |
5 Rooms | 2,815, 22.90%, see rank | 23.45% | 20.41% |
6 Rooms | 2,179, 17.73%, see rank | 18.16% | 18.25% |
7 Rooms | 1,005, 8.18%, see rank | 10.93% | 12.38% |
8 Rooms | 591, 4.81%, see rank | 6.37% | 8.59% |
9 Rooms or More | 285, 2.32%, see rank | 5.73% | 10.52% |
Median Rooms | 4.80, see rank | 5.10 | 5.50 |
US Census 2000 data
| 33870 Zip Code | Florida | U.S. |
Total Housing Units | 13,085, 100% | 7,302,947 | 115,904,641 |
1 Room | 144, 1.10%, see rank | 2.37% | 2.20% |
2 Rooms | 781, 5.97%, see rank | 6.06% | 4.81% |
3 Rooms | 1,556, 11.89%, see rank | 11.51% | 9.84% |
4 Rooms | 3,605, 27.55%, see rank | 19.42% | 15.97% |
5 Rooms | 3,532, 26.99%, see rank | 22.70% | 20.89% |
6 Rooms | 1,908, 14.58%, see rank | 17.74% | 18.45% |
7 Rooms | 835, 6.38%, see rank | 10.60% | 12.06% |
8 Rooms | 346, 2.64%, see rank | 5.76% | 8.06% |
9 Rooms or More | 378, 2.89%, 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.