36544 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 36544 Zip Code | Alabama | U.S. |
Total Housing Units | 4,437, 100% | 2,190,638 | 132,741,033 |
1 Room | 59, 1.33%, see rank | 1.12% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.17% | 2.48% |
3 Rooms | 162, 3.65%, see rank | 5.77% | 9.13% |
4 Rooms | 818, 18.44%, see rank | 15.10% | 16.60% |
5 Rooms | 1,177, 26.53%, see rank | 23.28% | 20.41% |
6 Rooms | 1,198, 27.00%, see rank | 20.97% | 18.06% |
7 Rooms | 467, 10.53%, see rank | 13.59% | 12.27% |
8 Rooms | 381, 8.59%, see rank | 8.86% | 8.48% |
9 Rooms or More | 175, 3.94%, see rank | 10.13% | 10.60% |
Median Rooms | 5.50, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 36544 Zip Code | Alabama | U.S. |
Total Housing Units | 4,521, 100% | 2,172,647 | 131,642,457 |
1 Room | 68, 1.50%, see rank | 1.05% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.14% | 2.36% |
3 Rooms | 239, 5.29%, see rank | 5.97% | 8.97% |
4 Rooms | 905, 20.02%, see rank | 15.40% | 16.57% |
5 Rooms | 858, 18.98%, see rank | 23.09% | 20.41% |
6 Rooms | 1,306, 28.89%, see rank | 21.03% | 18.25% |
7 Rooms | 712, 15.75%, see rank | 13.54% | 12.38% |
8 Rooms | 299, 6.61%, see rank | 8.95% | 8.59% |
9 Rooms or More | 134, 2.96%, see rank | 9.82% | 10.52% |
Median Rooms | 5.60, see rank | 5.70 | 5.50 |
US Census 2000 data
| 36544 Zip Code | Alabama | U.S. |
Total Housing Units | 3,916, 100% | 1,963,711 | 115,904,641 |
1 Room | 13, 0.33%, see rank | 0.80% | 2.20% |
2 Rooms | 48, 1.23%, see rank | 2.59% | 4.81% |
3 Rooms | 225, 5.75%, see rank | 6.97% | 9.84% |
4 Rooms | 476, 12.16%, see rank | 16.13% | 15.97% |
5 Rooms | 1,261, 32.20%, see rank | 24.55% | 20.89% |
6 Rooms | 949, 24.23%, see rank | 21.69% | 18.45% |
7 Rooms | 462, 11.80%, see rank | 13.10% | 12.06% |
8 Rooms | 269, 6.87%, see rank | 7.47% | 8.06% |
9 Rooms or More | 213, 5.44%, 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.