36703 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 36703 Zip Code | Alabama | U.S. |
Total Housing Units | 5,913, 100% | 2,190,638 | 132,741,033 |
1 Room | 481, 8.13%, see rank | 1.12% | 1.95% |
2 Rooms | 70, 1.18%, see rank | 1.17% | 2.48% |
3 Rooms | 414, 7.00%, see rank | 5.77% | 9.13% |
4 Rooms | 914, 15.46%, see rank | 15.10% | 16.60% |
5 Rooms | 1,342, 22.70%, see rank | 23.28% | 20.41% |
6 Rooms | 1,128, 19.08%, see rank | 20.97% | 18.06% |
7 Rooms | 839, 14.19%, see rank | 13.59% | 12.27% |
8 Rooms | 362, 6.12%, see rank | 8.86% | 8.48% |
9 Rooms or More | 363, 6.14%, see rank | 10.13% | 10.60% |
Median Rooms | 5.30, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 36703 Zip Code | Alabama | U.S. |
Total Housing Units | 6,131, 100% | 2,172,647 | 131,642,457 |
1 Room | 558, 9.10%, see rank | 1.05% | 1.95% |
2 Rooms | 23, 0.38%, see rank | 1.14% | 2.36% |
3 Rooms | 477, 7.78%, see rank | 5.97% | 8.97% |
4 Rooms | 972, 15.85%, see rank | 15.40% | 16.57% |
5 Rooms | 1,288, 21.01%, see rank | 23.09% | 20.41% |
6 Rooms | 1,140, 18.59%, see rank | 21.03% | 18.25% |
7 Rooms | 729, 11.89%, see rank | 13.54% | 12.38% |
8 Rooms | 515, 8.40%, see rank | 8.95% | 8.59% |
9 Rooms or More | 429, 7.00%, see rank | 9.82% | 10.52% |
Median Rooms | 5.30, see rank | 5.70 | 5.50 |
US Census 2000 data
| 36703 Zip Code | Alabama | U.S. |
Total Housing Units | 5,884, 100% | 1,963,711 | 115,904,641 |
1 Room | 41, 0.70%, see rank | 0.80% | 2.20% |
2 Rooms | 117, 1.99%, see rank | 2.59% | 4.81% |
3 Rooms | 728, 12.37%, see rank | 6.97% | 9.84% |
4 Rooms | 1,175, 19.97%, see rank | 16.13% | 15.97% |
5 Rooms | 1,582, 26.89%, see rank | 24.55% | 20.89% |
6 Rooms | 716, 12.17%, see rank | 21.69% | 18.45% |
7 Rooms | 698, 11.86%, see rank | 13.10% | 12.06% |
8 Rooms | 497, 8.45%, see rank | 7.47% | 8.06% |
9 Rooms or More | 330, 5.61%, 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.