35222 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 35222 Zip Code | Alabama | U.S. |
Total Housing Units | 4,583, 100% | 2,190,638 | 132,741,033 |
1 Room | 20, 0.44%, see rank | 1.12% | 1.95% |
2 Rooms | 119, 2.60%, see rank | 1.17% | 2.48% |
3 Rooms | 540, 11.78%, see rank | 5.77% | 9.13% |
4 Rooms | 664, 14.49%, see rank | 15.10% | 16.60% |
5 Rooms | 832, 18.15%, see rank | 23.28% | 20.41% |
6 Rooms | 868, 18.94%, see rank | 20.97% | 18.06% |
7 Rooms | 529, 11.54%, see rank | 13.59% | 12.27% |
8 Rooms | 372, 8.12%, see rank | 8.86% | 8.48% |
9 Rooms or More | 639, 13.94%, see rank | 10.13% | 10.60% |
Median Rooms | 5.60, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 35222 Zip Code | Alabama | U.S. |
Total Housing Units | 4,507, 100% | 2,172,647 | 131,642,457 |
1 Room | 59, 1.31%, see rank | 1.05% | 1.95% |
2 Rooms | 66, 1.46%, see rank | 1.14% | 2.36% |
3 Rooms | 486, 10.78%, see rank | 5.97% | 8.97% |
4 Rooms | 821, 18.22%, see rank | 15.40% | 16.57% |
5 Rooms | 834, 18.50%, see rank | 23.09% | 20.41% |
6 Rooms | 862, 19.13%, see rank | 21.03% | 18.25% |
7 Rooms | 455, 10.10%, see rank | 13.54% | 12.38% |
8 Rooms | 386, 8.56%, see rank | 8.95% | 8.59% |
9 Rooms or More | 538, 11.94%, see rank | 9.82% | 10.52% |
Median Rooms | 5.50, see rank | 5.70 | 5.50 |
US Census 2000 data
| 35222 Zip Code | Alabama | U.S. |
Total Housing Units | 4,399, 100% | 1,963,711 | 115,904,641 |
1 Room | 126, 2.86%, see rank | 0.80% | 2.20% |
2 Rooms | 205, 4.66%, see rank | 2.59% | 4.81% |
3 Rooms | 537, 12.21%, see rank | 6.97% | 9.84% |
4 Rooms | 768, 17.46%, see rank | 16.13% | 15.97% |
5 Rooms | 662, 15.05%, see rank | 24.55% | 20.89% |
6 Rooms | 796, 18.10%, see rank | 21.69% | 18.45% |
7 Rooms | 588, 13.37%, see rank | 13.10% | 12.06% |
8 Rooms | 351, 7.98%, see rank | 7.47% | 8.06% |
9 Rooms or More | 366, 8.32%, 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.