36619 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 36619 Zip Code | Alabama | U.S. |
Total Housing Units | 6,213, 100% | 2,190,638 | 132,741,033 |
1 Room | 13, 0.21%, see rank | 1.12% | 1.95% |
2 Rooms | 80, 1.29%, see rank | 1.17% | 2.48% |
3 Rooms | 204, 3.28%, see rank | 5.77% | 9.13% |
4 Rooms | 598, 9.62%, see rank | 15.10% | 16.60% |
5 Rooms | 1,216, 19.57%, see rank | 23.28% | 20.41% |
6 Rooms | 1,847, 29.73%, see rank | 20.97% | 18.06% |
7 Rooms | 1,260, 20.28%, see rank | 13.59% | 12.27% |
8 Rooms | 605, 9.74%, see rank | 8.86% | 8.48% |
9 Rooms or More | 390, 6.28%, see rank | 10.13% | 10.60% |
Median Rooms | 6.00, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 36619 Zip Code | Alabama | U.S. |
Total Housing Units | 5,853, 100% | 2,172,647 | 131,642,457 |
1 Room | 14, 0.24%, see rank | 1.05% | 1.95% |
2 Rooms | 67, 1.14%, see rank | 1.14% | 2.36% |
3 Rooms | 175, 2.99%, see rank | 5.97% | 8.97% |
4 Rooms | 604, 10.32%, see rank | 15.40% | 16.57% |
5 Rooms | 1,221, 20.86%, see rank | 23.09% | 20.41% |
6 Rooms | 1,624, 27.75%, see rank | 21.03% | 18.25% |
7 Rooms | 1,017, 17.38%, see rank | 13.54% | 12.38% |
8 Rooms | 656, 11.21%, see rank | 8.95% | 8.59% |
9 Rooms or More | 475, 8.12%, see rank | 9.82% | 10.52% |
Median Rooms | 6.00, see rank | 5.70 | 5.50 |
US Census 2000 data
| 36619 Zip Code | Alabama | U.S. |
Total Housing Units | 5,223, 100% | 1,963,711 | 115,904,641 |
1 Room | 29, 0.56%, see rank | 0.80% | 2.20% |
2 Rooms | 134, 2.57%, see rank | 2.59% | 4.81% |
3 Rooms | 300, 5.74%, see rank | 6.97% | 9.84% |
4 Rooms | 441, 8.44%, see rank | 16.13% | 15.97% |
5 Rooms | 1,261, 24.14%, see rank | 24.55% | 20.89% |
6 Rooms | 1,374, 26.31%, see rank | 21.69% | 18.45% |
7 Rooms | 1,102, 21.10%, see rank | 13.10% | 12.06% |
8 Rooms | 386, 7.39%, see rank | 7.47% | 8.06% |
9 Rooms or More | 196, 3.75%, see rank | 6.71% | 7.70% |
Median Rooms | 5.80, 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.