35453 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 35453 Zip Code | Alabama | U.S. |
Total Housing Units | 4,549, 100% | 2,190,638 | 132,741,033 |
1 Room | 90, 1.98%, see rank | 1.12% | 1.95% |
2 Rooms | 13, 0.29%, see rank | 1.17% | 2.48% |
3 Rooms | 220, 4.84%, see rank | 5.77% | 9.13% |
4 Rooms | 624, 13.72%, see rank | 15.10% | 16.60% |
5 Rooms | 1,459, 32.07%, see rank | 23.28% | 20.41% |
6 Rooms | 1,139, 25.04%, see rank | 20.97% | 18.06% |
7 Rooms | 447, 9.83%, see rank | 13.59% | 12.27% |
8 Rooms | 219, 4.81%, see rank | 8.86% | 8.48% |
9 Rooms or More | 338, 7.43%, see rank | 10.13% | 10.60% |
Median Rooms | 5.40, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 35453 Zip Code | Alabama | U.S. |
Total Housing Units | 4,530, 100% | 2,172,647 | 131,642,457 |
1 Room | 53, 1.17%, see rank | 1.05% | 1.95% |
2 Rooms | 32, 0.71%, see rank | 1.14% | 2.36% |
3 Rooms | 165, 3.64%, see rank | 5.97% | 8.97% |
4 Rooms | 660, 14.57%, see rank | 15.40% | 16.57% |
5 Rooms | 1,413, 31.19%, see rank | 23.09% | 20.41% |
6 Rooms | 1,079, 23.82%, see rank | 21.03% | 18.25% |
7 Rooms | 542, 11.96%, see rank | 13.54% | 12.38% |
8 Rooms | 267, 5.89%, see rank | 8.95% | 8.59% |
9 Rooms or More | 319, 7.04%, see rank | 9.82% | 10.52% |
Median Rooms | 5.50, see rank | 5.70 | 5.50 |
US Census 2000 data
| 35453 Zip Code | Alabama | U.S. |
Total Housing Units | 3,536, 100% | 1,963,711 | 115,904,641 |
1 Room | 11, 0.31%, see rank | 0.80% | 2.20% |
2 Rooms | 76, 2.15%, see rank | 2.59% | 4.81% |
3 Rooms | 141, 3.99%, see rank | 6.97% | 9.84% |
4 Rooms | 472, 13.35%, see rank | 16.13% | 15.97% |
5 Rooms | 1,153, 32.61%, see rank | 24.55% | 20.89% |
6 Rooms | 690, 19.51%, see rank | 21.69% | 18.45% |
7 Rooms | 547, 15.47%, see rank | 13.10% | 12.06% |
8 Rooms | 248, 7.01%, see rank | 7.47% | 8.06% |
9 Rooms or More | 198, 5.60%, 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.