36502 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 36502 Zip Code | Alabama | U.S. |
Total Housing Units | 7,414, 100% | 2,190,638 | 132,741,033 |
1 Room | 24, 0.32%, see rank | 1.12% | 1.95% |
2 Rooms | 64, 0.86%, see rank | 1.17% | 2.48% |
3 Rooms | 235, 3.17%, see rank | 5.77% | 9.13% |
4 Rooms | 1,278, 17.24%, see rank | 15.10% | 16.60% |
5 Rooms | 2,222, 29.97%, see rank | 23.28% | 20.41% |
6 Rooms | 1,423, 19.19%, see rank | 20.97% | 18.06% |
7 Rooms | 939, 12.67%, see rank | 13.59% | 12.27% |
8 Rooms | 672, 9.06%, see rank | 8.86% | 8.48% |
9 Rooms or More | 557, 7.51%, see rank | 10.13% | 10.60% |
Median Rooms | 5.40, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 36502 Zip Code | Alabama | U.S. |
Total Housing Units | 7,312, 100% | 2,172,647 | 131,642,457 |
1 Room | 32, 0.44%, see rank | 1.05% | 1.95% |
2 Rooms | 63, 0.86%, see rank | 1.14% | 2.36% |
3 Rooms | 218, 2.98%, see rank | 5.97% | 8.97% |
4 Rooms | 1,178, 16.11%, see rank | 15.40% | 16.57% |
5 Rooms | 2,104, 28.77%, see rank | 23.09% | 20.41% |
6 Rooms | 1,391, 19.02%, see rank | 21.03% | 18.25% |
7 Rooms | 926, 12.66%, see rank | 13.54% | 12.38% |
8 Rooms | 687, 9.40%, see rank | 8.95% | 8.59% |
9 Rooms or More | 713, 9.75%, see rank | 9.82% | 10.52% |
Median Rooms | 5.50, see rank | 5.70 | 5.50 |
US Census 2000 data
| 36502 Zip Code | Alabama | U.S. |
Total Housing Units | 7,305, 100% | 1,963,711 | 115,904,641 |
1 Room | 22, 0.30%, see rank | 0.80% | 2.20% |
2 Rooms | 394, 5.39%, see rank | 2.59% | 4.81% |
3 Rooms | 544, 7.45%, see rank | 6.97% | 9.84% |
4 Rooms | 1,176, 16.10%, see rank | 16.13% | 15.97% |
5 Rooms | 1,798, 24.61%, see rank | 24.55% | 20.89% |
6 Rooms | 1,592, 21.79%, see rank | 21.69% | 18.45% |
7 Rooms | 956, 13.09%, see rank | 13.10% | 12.06% |
8 Rooms | 537, 7.35%, see rank | 7.47% | 8.06% |
9 Rooms or More | 286, 3.92%, see rank | 6.71% | 7.70% |
Median Rooms | 5.30, 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.