36610 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 36610 Zip Code | Alabama | U.S. |
Total Housing Units | 6,007, 100% | 2,190,638 | 132,741,033 |
1 Room | 38, 0.63%, see rank | 1.12% | 1.95% |
2 Rooms | 7, 0.12%, see rank | 1.17% | 2.48% |
3 Rooms | 282, 4.69%, see rank | 5.77% | 9.13% |
4 Rooms | 873, 14.53%, see rank | 15.10% | 16.60% |
5 Rooms | 1,967, 32.75%, see rank | 23.28% | 20.41% |
6 Rooms | 1,781, 29.65%, see rank | 20.97% | 18.06% |
7 Rooms | 656, 10.92%, see rank | 13.59% | 12.27% |
8 Rooms | 275, 4.58%, see rank | 8.86% | 8.48% |
9 Rooms or More | 128, 2.13%, see rank | 10.13% | 10.60% |
Median Rooms | 5.40, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 36610 Zip Code | Alabama | U.S. |
Total Housing Units | 6,315, 100% | 2,172,647 | 131,642,457 |
1 Room | 26, 0.41%, see rank | 1.05% | 1.95% |
2 Rooms | 15, 0.24%, see rank | 1.14% | 2.36% |
3 Rooms | 270, 4.28%, see rank | 5.97% | 8.97% |
4 Rooms | 808, 12.79%, see rank | 15.40% | 16.57% |
5 Rooms | 2,332, 36.93%, see rank | 23.09% | 20.41% |
6 Rooms | 1,663, 26.33%, see rank | 21.03% | 18.25% |
7 Rooms | 757, 11.99%, see rank | 13.54% | 12.38% |
8 Rooms | 325, 5.15%, see rank | 8.95% | 8.59% |
9 Rooms or More | 119, 1.88%, see rank | 9.82% | 10.52% |
Median Rooms | 5.40, see rank | 5.70 | 5.50 |
US Census 2000 data
| 36610 Zip Code | Alabama | U.S. |
Total Housing Units | 8,153, 100% | 1,963,711 | 115,904,641 |
1 Room | 88, 1.08%, see rank | 0.80% | 2.20% |
2 Rooms | 291, 3.57%, see rank | 2.59% | 4.81% |
3 Rooms | 833, 10.22%, see rank | 6.97% | 9.84% |
4 Rooms | 1,392, 17.07%, see rank | 16.13% | 15.97% |
5 Rooms | 2,480, 30.42%, see rank | 24.55% | 20.89% |
6 Rooms | 1,538, 18.86%, see rank | 21.69% | 18.45% |
7 Rooms | 788, 9.67%, see rank | 13.10% | 12.06% |
8 Rooms | 509, 6.24%, see rank | 7.47% | 8.06% |
9 Rooms or More | 234, 2.87%, see rank | 6.71% | 7.70% |
Median Rooms | 5.10, 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.