36322 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 36322 Zip Code | Alabama | U.S. |
Total Housing Units | 4,432, 100% | 2,190,638 | 132,741,033 |
1 Room | 48, 1.08%, see rank | 1.12% | 1.95% |
2 Rooms | 89, 2.01%, see rank | 1.17% | 2.48% |
3 Rooms | 371, 8.37%, see rank | 5.77% | 9.13% |
4 Rooms | 980, 22.11%, see rank | 15.10% | 16.60% |
5 Rooms | 978, 22.07%, see rank | 23.28% | 20.41% |
6 Rooms | 913, 20.60%, see rank | 20.97% | 18.06% |
7 Rooms | 450, 10.15%, see rank | 13.59% | 12.27% |
8 Rooms | 350, 7.90%, see rank | 8.86% | 8.48% |
9 Rooms or More | 253, 5.71%, see rank | 10.13% | 10.60% |
Median Rooms | 5.20, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 36322 Zip Code | Alabama | U.S. |
Total Housing Units | 4,339, 100% | 2,172,647 | 131,642,457 |
1 Room | 62, 1.43%, see rank | 1.05% | 1.95% |
2 Rooms | 103, 2.37%, see rank | 1.14% | 2.36% |
3 Rooms | 343, 7.91%, see rank | 5.97% | 8.97% |
4 Rooms | 1,036, 23.88%, see rank | 15.40% | 16.57% |
5 Rooms | 960, 22.12%, see rank | 23.09% | 20.41% |
6 Rooms | 975, 22.47%, see rank | 21.03% | 18.25% |
7 Rooms | 440, 10.14%, see rank | 13.54% | 12.38% |
8 Rooms | 281, 6.48%, see rank | 8.95% | 8.59% |
9 Rooms or More | 139, 3.20%, see rank | 9.82% | 10.52% |
Median Rooms | 5.20, see rank | 5.70 | 5.50 |
US Census 2000 data
| 36322 Zip Code | Alabama | U.S. |
Total Housing Units | 4,090, 100% | 1,963,711 | 115,904,641 |
1 Room | 59, 1.44%, see rank | 0.80% | 2.20% |
2 Rooms | 137, 3.35%, see rank | 2.59% | 4.81% |
3 Rooms | 525, 12.84%, see rank | 6.97% | 9.84% |
4 Rooms | 961, 23.50%, see rank | 16.13% | 15.97% |
5 Rooms | 942, 23.03%, see rank | 24.55% | 20.89% |
6 Rooms | 723, 17.68%, see rank | 21.69% | 18.45% |
7 Rooms | 416, 10.17%, see rank | 13.10% | 12.06% |
8 Rooms | 159, 3.89%, see rank | 7.47% | 8.06% |
9 Rooms or More | 168, 4.11%, see rank | 6.71% | 7.70% |
Median Rooms | 4.90, 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.