36863 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 36863 Zip Code | Alabama | U.S. |
Total Housing Units | 5,934, 100% | 2,190,638 | 132,741,033 |
1 Room | 338, 5.70%, see rank | 1.12% | 1.95% |
2 Rooms | 21, 0.35%, see rank | 1.17% | 2.48% |
3 Rooms | 282, 4.75%, see rank | 5.77% | 9.13% |
4 Rooms | 922, 15.54%, see rank | 15.10% | 16.60% |
5 Rooms | 1,391, 23.44%, see rank | 23.28% | 20.41% |
6 Rooms | 1,276, 21.50%, see rank | 20.97% | 18.06% |
7 Rooms | 697, 11.75%, see rank | 13.59% | 12.27% |
8 Rooms | 506, 8.53%, see rank | 8.86% | 8.48% |
9 Rooms or More | 501, 8.44%, see rank | 10.13% | 10.60% |
Median Rooms | 5.50, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 36863 Zip Code | Alabama | U.S. |
Total Housing Units | 5,816, 100% | 2,172,647 | 131,642,457 |
1 Room | 221, 3.80%, see rank | 1.05% | 1.95% |
2 Rooms | 27, 0.46%, see rank | 1.14% | 2.36% |
3 Rooms | 250, 4.30%, see rank | 5.97% | 8.97% |
4 Rooms | 1,086, 18.67%, see rank | 15.40% | 16.57% |
5 Rooms | 1,610, 27.68%, see rank | 23.09% | 20.41% |
6 Rooms | 1,210, 20.80%, see rank | 21.03% | 18.25% |
7 Rooms | 686, 11.80%, see rank | 13.54% | 12.38% |
8 Rooms | 358, 6.16%, see rank | 8.95% | 8.59% |
9 Rooms or More | 368, 6.33%, see rank | 9.82% | 10.52% |
Median Rooms | 5.30, see rank | 5.70 | 5.50 |
US Census 2000 data
| 36863 Zip Code | Alabama | U.S. |
Total Housing Units | 6,073, 100% | 1,963,711 | 115,904,641 |
1 Room | 11, 0.18%, see rank | 0.80% | 2.20% |
2 Rooms | 98, 1.61%, see rank | 2.59% | 4.81% |
3 Rooms | 332, 5.47%, see rank | 6.97% | 9.84% |
4 Rooms | 1,104, 18.18%, see rank | 16.13% | 15.97% |
5 Rooms | 1,648, 27.14%, see rank | 24.55% | 20.89% |
6 Rooms | 1,514, 24.93%, see rank | 21.69% | 18.45% |
7 Rooms | 771, 12.70%, see rank | 13.10% | 12.06% |
8 Rooms | 239, 3.94%, see rank | 7.47% | 8.06% |
9 Rooms or More | 356, 5.86%, 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.