35180 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 35180 Zip Code | Alabama | U.S. |
Total Housing Units | 5,735, 100% | 2,190,638 | 132,741,033 |
1 Room | 10, 0.17%, see rank | 1.12% | 1.95% |
2 Rooms | 62, 1.08%, see rank | 1.17% | 2.48% |
3 Rooms | 106, 1.85%, see rank | 5.77% | 9.13% |
4 Rooms | 562, 9.80%, see rank | 15.10% | 16.60% |
5 Rooms | 1,535, 26.77%, see rank | 23.28% | 20.41% |
6 Rooms | 1,326, 23.12%, see rank | 20.97% | 18.06% |
7 Rooms | 1,001, 17.45%, see rank | 13.59% | 12.27% |
8 Rooms | 523, 9.12%, see rank | 8.86% | 8.48% |
9 Rooms or More | 610, 10.64%, see rank | 10.13% | 10.60% |
Median Rooms | 5.90, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 35180 Zip Code | Alabama | U.S. |
Total Housing Units | 5,642, 100% | 2,172,647 | 131,642,457 |
1 Room | 21, 0.37%, see rank | 1.05% | 1.95% |
2 Rooms | 75, 1.33%, see rank | 1.14% | 2.36% |
3 Rooms | 152, 2.69%, see rank | 5.97% | 8.97% |
4 Rooms | 656, 11.63%, see rank | 15.40% | 16.57% |
5 Rooms | 1,560, 27.65%, see rank | 23.09% | 20.41% |
6 Rooms | 1,226, 21.73%, see rank | 21.03% | 18.25% |
7 Rooms | 1,037, 18.38%, see rank | 13.54% | 12.38% |
8 Rooms | 435, 7.71%, see rank | 8.95% | 8.59% |
9 Rooms or More | 480, 8.51%, see rank | 9.82% | 10.52% |
Median Rooms | 5.80, see rank | 5.70 | 5.50 |
US Census 2000 data
| 35180 Zip Code | Alabama | U.S. |
Total Housing Units | 5,348, 100% | 1,963,711 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 0.80% | 2.20% |
2 Rooms | 65, 1.22%, see rank | 2.59% | 4.81% |
3 Rooms | 183, 3.42%, see rank | 6.97% | 9.84% |
4 Rooms | 711, 13.29%, see rank | 16.13% | 15.97% |
5 Rooms | 1,513, 28.29%, see rank | 24.55% | 20.89% |
6 Rooms | 1,423, 26.61%, see rank | 21.69% | 18.45% |
7 Rooms | 695, 13.00%, see rank | 13.10% | 12.06% |
8 Rooms | 409, 7.65%, see rank | 7.47% | 8.06% |
9 Rooms or More | 349, 6.53%, see rank | 6.71% | 7.70% |
Median Rooms | 5.60, 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.