35769 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 35769 Zip Code | Alabama | U.S. |
Total Housing Units | 4,858, 100% | 2,190,638 | 132,741,033 |
1 Room | 161, 3.31%, see rank | 1.12% | 1.95% |
2 Rooms | 159, 3.27%, see rank | 1.17% | 2.48% |
3 Rooms | 188, 3.87%, see rank | 5.77% | 9.13% |
4 Rooms | 576, 11.86%, see rank | 15.10% | 16.60% |
5 Rooms | 899, 18.51%, see rank | 23.28% | 20.41% |
6 Rooms | 904, 18.61%, see rank | 20.97% | 18.06% |
7 Rooms | 815, 16.78%, see rank | 13.59% | 12.27% |
8 Rooms | 475, 9.78%, see rank | 8.86% | 8.48% |
9 Rooms or More | 681, 14.02%, see rank | 10.13% | 10.60% |
Median Rooms | 6.00, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 35769 Zip Code | Alabama | U.S. |
Total Housing Units | 4,756, 100% | 2,172,647 | 131,642,457 |
1 Room | 53, 1.11%, see rank | 1.05% | 1.95% |
2 Rooms | 52, 1.09%, see rank | 1.14% | 2.36% |
3 Rooms | 143, 3.01%, see rank | 5.97% | 8.97% |
4 Rooms | 634, 13.33%, see rank | 15.40% | 16.57% |
5 Rooms | 973, 20.46%, see rank | 23.09% | 20.41% |
6 Rooms | 845, 17.77%, see rank | 21.03% | 18.25% |
7 Rooms | 799, 16.80%, see rank | 13.54% | 12.38% |
8 Rooms | 438, 9.21%, see rank | 8.95% | 8.59% |
9 Rooms or More | 819, 17.22%, see rank | 9.82% | 10.52% |
Median Rooms | 6.10, see rank | 5.70 | 5.50 |
US Census 2000 data
| 35769 Zip Code | Alabama | U.S. |
Total Housing Units | 4,342, 100% | 1,963,711 | 115,904,641 |
1 Room | 69, 1.59%, see rank | 0.80% | 2.20% |
2 Rooms | 147, 3.39%, see rank | 2.59% | 4.81% |
3 Rooms | 257, 5.92%, see rank | 6.97% | 9.84% |
4 Rooms | 775, 17.85%, see rank | 16.13% | 15.97% |
5 Rooms | 960, 22.11%, see rank | 24.55% | 20.89% |
6 Rooms | 870, 20.04%, see rank | 21.69% | 18.45% |
7 Rooms | 594, 13.68%, see rank | 13.10% | 12.06% |
8 Rooms | 301, 6.93%, see rank | 7.47% | 8.06% |
9 Rooms or More | 369, 8.50%, see rank | 6.71% | 7.70% |
Median Rooms | 5.50, see rank | 5.50 | 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.