35128 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 35128 Zip Code | Alabama | U.S. |
Total Housing Units | 4,596, 100% | 2,190,638 | 132,741,033 |
1 Room | 30, 0.65%, see rank | 1.12% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.17% | 2.48% |
3 Rooms | 245, 5.33%, see rank | 5.77% | 9.13% |
4 Rooms | 466, 10.14%, see rank | 15.10% | 16.60% |
5 Rooms | 1,219, 26.52%, see rank | 23.28% | 20.41% |
6 Rooms | 874, 19.02%, see rank | 20.97% | 18.06% |
7 Rooms | 921, 20.04%, see rank | 13.59% | 12.27% |
8 Rooms | 433, 9.42%, see rank | 8.86% | 8.48% |
9 Rooms or More | 408, 8.88%, see rank | 10.13% | 10.60% |
Median Rooms | 5.90, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 35128 Zip Code | Alabama | U.S. |
Total Housing Units | 4,422, 100% | 2,172,647 | 131,642,457 |
1 Room | 17, 0.38%, see rank | 1.05% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.14% | 2.36% |
3 Rooms | 152, 3.44%, see rank | 5.97% | 8.97% |
4 Rooms | 471, 10.65%, see rank | 15.40% | 16.57% |
5 Rooms | 1,001, 22.64%, see rank | 23.09% | 20.41% |
6 Rooms | 1,070, 24.20%, see rank | 21.03% | 18.25% |
7 Rooms | 724, 16.37%, see rank | 13.54% | 12.38% |
8 Rooms | 501, 11.33%, see rank | 8.95% | 8.59% |
9 Rooms or More | 486, 10.99%, see rank | 9.82% | 10.52% |
Median Rooms | 6.00, see rank | 5.70 | 5.50 |
US Census 2000 data
| 35128 Zip Code | Alabama | U.S. |
Total Housing Units | 3,321, 100% | 1,963,711 | 115,904,641 |
1 Room | 80, 2.41%, see rank | 0.80% | 2.20% |
2 Rooms | 39, 1.17%, see rank | 2.59% | 4.81% |
3 Rooms | 92, 2.77%, see rank | 6.97% | 9.84% |
4 Rooms | 428, 12.89%, see rank | 16.13% | 15.97% |
5 Rooms | 678, 20.42%, see rank | 24.55% | 20.89% |
6 Rooms | 802, 24.15%, see rank | 21.69% | 18.45% |
7 Rooms | 517, 15.57%, see rank | 13.10% | 12.06% |
8 Rooms | 349, 10.51%, see rank | 7.47% | 8.06% |
9 Rooms or More | 336, 10.12%, see rank | 6.71% | 7.70% |
Median Rooms | 5.90, 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.