35207 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 35207 Zip Code | Alabama | U.S. |
Total Housing Units | 4,269, 100% | 2,190,638 | 132,741,033 |
1 Room | 10, 0.23%, see rank | 1.12% | 1.95% |
2 Rooms | 68, 1.59%, see rank | 1.17% | 2.48% |
3 Rooms | 378, 8.85%, see rank | 5.77% | 9.13% |
4 Rooms | 652, 15.27%, see rank | 15.10% | 16.60% |
5 Rooms | 1,061, 24.85%, see rank | 23.28% | 20.41% |
6 Rooms | 980, 22.96%, see rank | 20.97% | 18.06% |
7 Rooms | 637, 14.92%, see rank | 13.59% | 12.27% |
8 Rooms | 307, 7.19%, see rank | 8.86% | 8.48% |
9 Rooms or More | 176, 4.12%, see rank | 10.13% | 10.60% |
Median Rooms | 5.50, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 35207 Zip Code | Alabama | U.S. |
Total Housing Units | 4,446, 100% | 2,172,647 | 131,642,457 |
1 Room | 16, 0.36%, see rank | 1.05% | 1.95% |
2 Rooms | 34, 0.76%, see rank | 1.14% | 2.36% |
3 Rooms | 356, 8.01%, see rank | 5.97% | 8.97% |
4 Rooms | 650, 14.62%, see rank | 15.40% | 16.57% |
5 Rooms | 990, 22.27%, see rank | 23.09% | 20.41% |
6 Rooms | 1,273, 28.63%, see rank | 21.03% | 18.25% |
7 Rooms | 652, 14.66%, see rank | 13.54% | 12.38% |
8 Rooms | 328, 7.38%, see rank | 8.95% | 8.59% |
9 Rooms or More | 147, 3.31%, see rank | 9.82% | 10.52% |
Median Rooms | 5.60, see rank | 5.70 | 5.50 |
US Census 2000 data
| 35207 Zip Code | Alabama | U.S. |
Total Housing Units | 4,925, 100% | 1,963,711 | 115,904,641 |
1 Room | 27, 0.55%, see rank | 0.80% | 2.20% |
2 Rooms | 88, 1.79%, see rank | 2.59% | 4.81% |
3 Rooms | 451, 9.16%, see rank | 6.97% | 9.84% |
4 Rooms | 763, 15.49%, see rank | 16.13% | 15.97% |
5 Rooms | 1,137, 23.09%, see rank | 24.55% | 20.89% |
6 Rooms | 1,153, 23.41%, see rank | 21.69% | 18.45% |
7 Rooms | 856, 17.38%, see rank | 13.10% | 12.06% |
8 Rooms | 280, 5.69%, see rank | 7.47% | 8.06% |
9 Rooms or More | 170, 3.45%, see rank | 6.71% | 7.70% |
Median Rooms | 5.50, 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.