35761 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 35761 Zip Code | Alabama | U.S. |
Total Housing Units | 4,944, 100% | 2,190,638 | 132,741,033 |
1 Room | 17, 0.34%, see rank | 1.12% | 1.95% |
2 Rooms | 15, 0.30%, see rank | 1.17% | 2.48% |
3 Rooms | 148, 2.99%, see rank | 5.77% | 9.13% |
4 Rooms | 424, 8.58%, see rank | 15.10% | 16.60% |
5 Rooms | 1,306, 26.42%, see rank | 23.28% | 20.41% |
6 Rooms | 1,065, 21.54%, see rank | 20.97% | 18.06% |
7 Rooms | 681, 13.77%, see rank | 13.59% | 12.27% |
8 Rooms | 586, 11.85%, see rank | 8.86% | 8.48% |
9 Rooms or More | 702, 14.20%, see rank | 10.13% | 10.60% |
Median Rooms | 6.00, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 35761 Zip Code | Alabama | U.S. |
Total Housing Units | 4,433, 100% | 2,172,647 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.05% | 1.95% |
2 Rooms | 9, 0.20%, see rank | 1.14% | 2.36% |
3 Rooms | 185, 4.17%, see rank | 5.97% | 8.97% |
4 Rooms | 411, 9.27%, see rank | 15.40% | 16.57% |
5 Rooms | 1,014, 22.87%, see rank | 23.09% | 20.41% |
6 Rooms | 963, 21.72%, see rank | 21.03% | 18.25% |
7 Rooms | 753, 16.99%, see rank | 13.54% | 12.38% |
8 Rooms | 512, 11.55%, see rank | 8.95% | 8.59% |
9 Rooms or More | 586, 13.22%, see rank | 9.82% | 10.52% |
Median Rooms | 6.10, see rank | 5.70 | 5.50 |
US Census 2000 data
| 35761 Zip Code | Alabama | U.S. |
Total Housing Units | 3,333, 100% | 1,963,711 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 0.80% | 2.20% |
2 Rooms | 42, 1.26%, see rank | 2.59% | 4.81% |
3 Rooms | 61, 1.83%, see rank | 6.97% | 9.84% |
4 Rooms | 574, 17.22%, see rank | 16.13% | 15.97% |
5 Rooms | 1,027, 30.81%, see rank | 24.55% | 20.89% |
6 Rooms | 747, 22.41%, see rank | 21.69% | 18.45% |
7 Rooms | 549, 16.47%, see rank | 13.10% | 12.06% |
8 Rooms | 150, 4.50%, see rank | 7.47% | 8.06% |
9 Rooms or More | 183, 5.49%, 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.