34667 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 34667 Zip Code | Florida | U.S. |
Total Housing Units | 19,258, 100% | 9,051,851 | 132,741,033 |
1 Room | 224, 1.16%, see rank | 1.65% | 1.95% |
2 Rooms | 387, 2.01%, see rank | 2.16% | 2.48% |
3 Rooms | 1,485, 7.71%, see rank | 10.38% | 9.13% |
4 Rooms | 4,503, 23.38%, see rank | 21.92% | 16.60% |
5 Rooms | 4,982, 25.87%, see rank | 23.70% | 20.41% |
6 Rooms | 4,537, 23.56%, see rank | 17.82% | 18.06% |
7 Rooms | 1,899, 9.86%, see rank | 10.59% | 12.27% |
8 Rooms | 602, 3.13%, see rank | 6.13% | 8.48% |
9 Rooms or More | 639, 3.32%, see rank | 5.66% | 10.60% |
Median Rooms | 5.10, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 34667 Zip Code | Florida | U.S. |
Total Housing Units | 19,311, 100% | 8,983,414 | 131,642,457 |
1 Room | 204, 1.06%, see rank | 1.60% | 1.95% |
2 Rooms | 477, 2.47%, see rank | 2.07% | 2.36% |
3 Rooms | 1,551, 8.03%, see rank | 10.10% | 8.97% |
4 Rooms | 4,373, 22.65%, see rank | 21.59% | 16.57% |
5 Rooms | 4,617, 23.91%, see rank | 23.45% | 20.41% |
6 Rooms | 4,648, 24.07%, see rank | 18.16% | 18.25% |
7 Rooms | 2,104, 10.90%, see rank | 10.93% | 12.38% |
8 Rooms | 701, 3.63%, see rank | 6.37% | 8.59% |
9 Rooms or More | 636, 3.29%, see rank | 5.73% | 10.52% |
Median Rooms | 5.20, see rank | 5.10 | 5.50 |
US Census 2000 data
| 34667 Zip Code | Florida | U.S. |
Total Housing Units | 16,849, 100% | 7,302,947 | 115,904,641 |
1 Room | 217, 1.29%, see rank | 2.37% | 2.20% |
2 Rooms | 535, 3.18%, see rank | 6.06% | 4.81% |
3 Rooms | 1,616, 9.59%, see rank | 11.51% | 9.84% |
4 Rooms | 3,604, 21.39%, see rank | 19.42% | 15.97% |
5 Rooms | 4,752, 28.20%, see rank | 22.70% | 20.89% |
6 Rooms | 3,411, 20.24%, see rank | 17.74% | 18.45% |
7 Rooms | 1,865, 11.07%, see rank | 10.60% | 12.06% |
8 Rooms | 606, 3.60%, see rank | 5.76% | 8.06% |
9 Rooms or More | 243, 1.44%, see rank | 3.85% | 7.70% |
Median Rooms | 5.00, 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.