33066 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 33066 Zip Code | Florida | U.S. |
Total Housing Units | 10,838, 100% | 9,051,851 | 132,741,033 |
1 Room | 18, 0.17%, see rank | 1.65% | 1.95% |
2 Rooms | 133, 1.23%, see rank | 2.16% | 2.48% |
3 Rooms | 1,136, 10.48%, see rank | 10.38% | 9.13% |
4 Rooms | 5,709, 52.68%, see rank | 21.92% | 16.60% |
5 Rooms | 2,186, 20.17%, see rank | 23.70% | 20.41% |
6 Rooms | 754, 6.96%, see rank | 17.82% | 18.06% |
7 Rooms | 446, 4.12%, see rank | 10.59% | 12.27% |
8 Rooms | 303, 2.80%, see rank | 6.13% | 8.48% |
9 Rooms or More | 153, 1.41%, see rank | 5.66% | 10.60% |
Median Rooms | 4.20, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 33066 Zip Code | Florida | U.S. |
Total Housing Units | 10,837, 100% | 8,983,414 | 131,642,457 |
1 Room | 34, 0.31%, see rank | 1.60% | 1.95% |
2 Rooms | 142, 1.31%, see rank | 2.07% | 2.36% |
3 Rooms | 1,171, 10.81%, see rank | 10.10% | 8.97% |
4 Rooms | 5,618, 51.84%, see rank | 21.59% | 16.57% |
5 Rooms | 2,092, 19.30%, see rank | 23.45% | 20.41% |
6 Rooms | 894, 8.25%, see rank | 18.16% | 18.25% |
7 Rooms | 586, 5.41%, see rank | 10.93% | 12.38% |
8 Rooms | 184, 1.70%, see rank | 6.37% | 8.59% |
9 Rooms or More | 116, 1.07%, see rank | 5.73% | 10.52% |
Median Rooms | 4.20, see rank | 5.10 | 5.50 |
US Census 2000 data
| 33066 Zip Code | Florida | U.S. |
Total Housing Units | 10,386, 100% | 7,302,947 | 115,904,641 |
1 Room | 30, 0.29%, see rank | 2.37% | 2.20% |
2 Rooms | 409, 3.94%, see rank | 6.06% | 4.81% |
3 Rooms | 1,145, 11.02%, see rank | 11.51% | 9.84% |
4 Rooms | 4,144, 39.90%, see rank | 19.42% | 15.97% |
5 Rooms | 3,014, 29.02%, see rank | 22.70% | 20.89% |
6 Rooms | 1,001, 9.64%, see rank | 17.74% | 18.45% |
7 Rooms | 440, 4.24%, see rank | 10.60% | 12.06% |
8 Rooms | 134, 1.29%, see rank | 5.76% | 8.06% |
9 Rooms or More | 69, 0.66%, see rank | 3.85% | 7.70% |
Median Rooms | 4.40, 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.