35757 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 35757 Zip Code | Alabama | U.S. |
Total Housing Units | 5,519, 100% | 2,190,638 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.12% | 1.95% |
2 Rooms | 96, 1.74%, see rank | 1.17% | 2.48% |
3 Rooms | 209, 3.79%, see rank | 5.77% | 9.13% |
4 Rooms | 327, 5.92%, see rank | 15.10% | 16.60% |
5 Rooms | 995, 18.03%, see rank | 23.28% | 20.41% |
6 Rooms | 917, 16.62%, see rank | 20.97% | 18.06% |
7 Rooms | 1,011, 18.32%, see rank | 13.59% | 12.27% |
8 Rooms | 921, 16.69%, see rank | 8.86% | 8.48% |
9 Rooms or More | 1,043, 18.90%, see rank | 10.13% | 10.60% |
Median Rooms | 6.70, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 35757 Zip Code | Alabama | U.S. |
Total Housing Units | 5,020, 100% | 2,172,647 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.05% | 1.95% |
2 Rooms | 66, 1.31%, see rank | 1.14% | 2.36% |
3 Rooms | 98, 1.95%, see rank | 5.97% | 8.97% |
4 Rooms | 342, 6.81%, see rank | 15.40% | 16.57% |
5 Rooms | 1,055, 21.02%, see rank | 23.09% | 20.41% |
6 Rooms | 887, 17.67%, see rank | 21.03% | 18.25% |
7 Rooms | 720, 14.34%, see rank | 13.54% | 12.38% |
8 Rooms | 755, 15.04%, see rank | 8.95% | 8.59% |
9 Rooms or More | 1,097, 21.85%, see rank | 9.82% | 10.52% |
Median Rooms | 6.60, see rank | 5.70 | 5.50 |
US Census 2000 data
| 35757 Zip Code | Alabama | U.S. |
Total Housing Units | 2,776, 100% | 1,963,711 | 115,904,641 |
1 Room | 9, 0.32%, see rank | 0.80% | 2.20% |
2 Rooms | 6, 0.22%, see rank | 2.59% | 4.81% |
3 Rooms | 87, 3.13%, see rank | 6.97% | 9.84% |
4 Rooms | 192, 6.92%, see rank | 16.13% | 15.97% |
5 Rooms | 564, 20.32%, see rank | 24.55% | 20.89% |
6 Rooms | 625, 22.51%, see rank | 21.69% | 18.45% |
7 Rooms | 590, 21.25%, see rank | 13.10% | 12.06% |
8 Rooms | 324, 11.67%, see rank | 7.47% | 8.06% |
9 Rooms or More | 379, 13.65%, see rank | 6.71% | 7.70% |
Median Rooms | 6.30, 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.