36527 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 36527 Zip Code | Alabama | U.S. |
Total Housing Units | 5,765, 100% | 2,190,638 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.12% | 1.95% |
2 Rooms | 79, 1.37%, see rank | 1.17% | 2.48% |
3 Rooms | 407, 7.06%, see rank | 5.77% | 9.13% |
4 Rooms | 835, 14.48%, see rank | 15.10% | 16.60% |
5 Rooms | 689, 11.95%, see rank | 23.28% | 20.41% |
6 Rooms | 758, 13.15%, see rank | 20.97% | 18.06% |
7 Rooms | 1,265, 21.94%, see rank | 13.59% | 12.27% |
8 Rooms | 834, 14.47%, see rank | 8.86% | 8.48% |
9 Rooms or More | 898, 15.58%, see rank | 10.13% | 10.60% |
Median Rooms | 6.60, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 36527 Zip Code | Alabama | U.S. |
Total Housing Units | 5,695, 100% | 2,172,647 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.05% | 1.95% |
2 Rooms | 71, 1.25%, see rank | 1.14% | 2.36% |
3 Rooms | 304, 5.34%, see rank | 5.97% | 8.97% |
4 Rooms | 950, 16.68%, see rank | 15.40% | 16.57% |
5 Rooms | 637, 11.19%, see rank | 23.09% | 20.41% |
6 Rooms | 898, 15.77%, see rank | 21.03% | 18.25% |
7 Rooms | 1,072, 18.82%, see rank | 13.54% | 12.38% |
8 Rooms | 830, 14.57%, see rank | 8.95% | 8.59% |
9 Rooms or More | 933, 16.38%, see rank | 9.82% | 10.52% |
Median Rooms | 6.50, see rank | 5.70 | 5.50 |
US Census 2000 data
| 36527 Zip Code | Alabama | U.S. |
Total Housing Units | 3,007, 100% | 1,963,711 | 115,904,641 |
1 Room | 24, 0.80%, see rank | 0.80% | 2.20% |
2 Rooms | 99, 3.29%, see rank | 2.59% | 4.81% |
3 Rooms | 171, 5.69%, see rank | 6.97% | 9.84% |
4 Rooms | 246, 8.18%, see rank | 16.13% | 15.97% |
5 Rooms | 411, 13.67%, see rank | 24.55% | 20.89% |
6 Rooms | 618, 20.55%, see rank | 21.69% | 18.45% |
7 Rooms | 576, 19.16%, see rank | 13.10% | 12.06% |
8 Rooms | 434, 14.43%, see rank | 7.47% | 8.06% |
9 Rooms or More | 428, 14.23%, see rank | 6.71% | 7.70% |
Median Rooms | 6.40, 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.