33330 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 33330 Zip Code | Florida | U.S. |
Total Housing Units | 4,711, 100% | 9,051,851 | 132,741,033 |
1 Room | 21, 0.45%, see rank | 1.65% | 1.95% |
2 Rooms | 17, 0.36%, see rank | 2.16% | 2.48% |
3 Rooms | 29, 0.62%, see rank | 10.38% | 9.13% |
4 Rooms | 302, 6.41%, see rank | 21.92% | 16.60% |
5 Rooms | 604, 12.82%, see rank | 23.70% | 20.41% |
6 Rooms | 944, 20.04%, see rank | 17.82% | 18.06% |
7 Rooms | 1,016, 21.57%, see rank | 10.59% | 12.27% |
8 Rooms | 774, 16.43%, see rank | 6.13% | 8.48% |
9 Rooms or More | 1,004, 21.31%, see rank | 5.66% | 10.60% |
Median Rooms | 6.90, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 33330 Zip Code | Florida | U.S. |
Total Housing Units | 4,556, 100% | 8,983,414 | 131,642,457 |
1 Room | 13, 0.29%, see rank | 1.60% | 1.95% |
2 Rooms | 25, 0.55%, see rank | 2.07% | 2.36% |
3 Rooms | 60, 1.32%, see rank | 10.10% | 8.97% |
4 Rooms | 286, 6.28%, see rank | 21.59% | 16.57% |
5 Rooms | 485, 10.65%, see rank | 23.45% | 20.41% |
6 Rooms | 947, 20.79%, see rank | 18.16% | 18.25% |
7 Rooms | 919, 20.17%, see rank | 10.93% | 12.38% |
8 Rooms | 704, 15.45%, see rank | 6.37% | 8.59% |
9 Rooms or More | 1,117, 24.52%, see rank | 5.73% | 10.52% |
Median Rooms | 7.00, see rank | 5.10 | 5.50 |
US Census 2000 data
| 33330 Zip Code | Florida | U.S. |
Total Housing Units | 3,679, 100% | 7,302,947 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 2.37% | 2.20% |
2 Rooms | 13, 0.35%, see rank | 6.06% | 4.81% |
3 Rooms | 120, 3.26%, see rank | 11.51% | 9.84% |
4 Rooms | 76, 2.07%, see rank | 19.42% | 15.97% |
5 Rooms | 413, 11.23%, see rank | 22.70% | 20.89% |
6 Rooms | 868, 23.59%, see rank | 17.74% | 18.45% |
7 Rooms | 830, 22.56%, see rank | 10.60% | 12.06% |
8 Rooms | 739, 20.09%, see rank | 5.76% | 8.06% |
9 Rooms or More | 620, 16.85%, see rank | 3.85% | 7.70% |
Median Rooms | 6.90, 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.