36732 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 36732 Zip Code | Alabama | U.S. |
Total Housing Units | 3,941, 100% | 2,190,638 | 132,741,033 |
1 Room | 38, 0.96%, see rank | 1.12% | 1.95% |
2 Rooms | 154, 3.91%, see rank | 1.17% | 2.48% |
3 Rooms | 138, 3.50%, see rank | 5.77% | 9.13% |
4 Rooms | 864, 21.92%, see rank | 15.10% | 16.60% |
5 Rooms | 747, 18.95%, see rank | 23.28% | 20.41% |
6 Rooms | 682, 17.31%, see rank | 20.97% | 18.06% |
7 Rooms | 553, 14.03%, see rank | 13.59% | 12.27% |
8 Rooms | 388, 9.85%, see rank | 8.86% | 8.48% |
9 Rooms or More | 377, 9.57%, see rank | 10.13% | 10.60% |
Median Rooms | 5.50, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 36732 Zip Code | Alabama | U.S. |
Total Housing Units | 3,968, 100% | 2,172,647 | 131,642,457 |
1 Room | 36, 0.91%, see rank | 1.05% | 1.95% |
2 Rooms | 162, 4.08%, see rank | 1.14% | 2.36% |
3 Rooms | 155, 3.91%, see rank | 5.97% | 8.97% |
4 Rooms | 796, 20.06%, see rank | 15.40% | 16.57% |
5 Rooms | 571, 14.39%, see rank | 23.09% | 20.41% |
6 Rooms | 913, 23.01%, see rank | 21.03% | 18.25% |
7 Rooms | 510, 12.85%, see rank | 13.54% | 12.38% |
8 Rooms | 409, 10.31%, see rank | 8.95% | 8.59% |
9 Rooms or More | 416, 10.48%, see rank | 9.82% | 10.52% |
Median Rooms | 5.80, see rank | 5.70 | 5.50 |
US Census 2000 data
| 36732 Zip Code | Alabama | U.S. |
Total Housing Units | 3,780, 100% | 1,963,711 | 115,904,641 |
1 Room | 48, 1.27%, see rank | 0.80% | 2.20% |
2 Rooms | 137, 3.62%, see rank | 2.59% | 4.81% |
3 Rooms | 304, 8.04%, see rank | 6.97% | 9.84% |
4 Rooms | 602, 15.93%, see rank | 16.13% | 15.97% |
5 Rooms | 852, 22.54%, see rank | 24.55% | 20.89% |
6 Rooms | 918, 24.29%, see rank | 21.69% | 18.45% |
7 Rooms | 483, 12.78%, see rank | 13.10% | 12.06% |
8 Rooms | 162, 4.29%, see rank | 7.47% | 8.06% |
9 Rooms or More | 274, 7.25%, see rank | 6.71% | 7.70% |
Median Rooms | 5.40, 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.