33460 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 33460 Zip Code | Florida | U.S. |
Total Housing Units | 13,100, 100% | 9,051,851 | 132,741,033 |
1 Room | 589, 4.50%, see rank | 1.65% | 1.95% |
2 Rooms | 588, 4.49%, see rank | 2.16% | 2.48% |
3 Rooms | 2,857, 21.81%, see rank | 10.38% | 9.13% |
4 Rooms | 3,288, 25.10%, see rank | 21.92% | 16.60% |
5 Rooms | 2,716, 20.73%, see rank | 23.70% | 20.41% |
6 Rooms | 1,393, 10.63%, see rank | 17.82% | 18.06% |
7 Rooms | 950, 7.25%, see rank | 10.59% | 12.27% |
8 Rooms | 462, 3.53%, see rank | 6.13% | 8.48% |
9 Rooms or More | 257, 1.96%, see rank | 5.66% | 10.60% |
Median Rooms | 4.30, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 33460 Zip Code | Florida | U.S. |
Total Housing Units | 13,224, 100% | 8,983,414 | 131,642,457 |
1 Room | 525, 3.97%, see rank | 1.60% | 1.95% |
2 Rooms | 310, 2.34%, see rank | 2.07% | 2.36% |
3 Rooms | 2,865, 21.67%, see rank | 10.10% | 8.97% |
4 Rooms | 3,876, 29.31%, see rank | 21.59% | 16.57% |
5 Rooms | 2,748, 20.78%, see rank | 23.45% | 20.41% |
6 Rooms | 1,490, 11.27%, see rank | 18.16% | 18.25% |
7 Rooms | 781, 5.91%, see rank | 10.93% | 12.38% |
8 Rooms | 403, 3.05%, see rank | 6.37% | 8.59% |
9 Rooms or More | 226, 1.71%, see rank | 5.73% | 10.52% |
Median Rooms | 4.30, see rank | 5.10 | 5.50 |
US Census 2000 data
| 33460 Zip Code | Florida | U.S. |
Total Housing Units | 13,789, 100% | 7,302,947 | 115,904,641 |
1 Room | 978, 7.09%, see rank | 2.37% | 2.20% |
2 Rooms | 1,704, 12.36%, see rank | 6.06% | 4.81% |
3 Rooms | 2,658, 19.28%, see rank | 11.51% | 9.84% |
4 Rooms | 3,076, 22.31%, see rank | 19.42% | 15.97% |
5 Rooms | 2,594, 18.81%, see rank | 22.70% | 20.89% |
6 Rooms | 1,642, 11.91%, see rank | 17.74% | 18.45% |
7 Rooms | 632, 4.58%, see rank | 10.60% | 12.06% |
8 Rooms | 296, 2.15%, see rank | 5.76% | 8.06% |
9 Rooms or More | 209, 1.52%, see rank | 3.85% | 7.70% |
Median Rooms | 4.00, 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.