35645 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 35645 Zip Code | Alabama | U.S. |
Total Housing Units | 6,035, 100% | 2,190,638 | 132,741,033 |
1 Room | 83, 1.38%, see rank | 1.12% | 1.95% |
2 Rooms | 21, 0.35%, see rank | 1.17% | 2.48% |
3 Rooms | 108, 1.79%, see rank | 5.77% | 9.13% |
4 Rooms | 431, 7.14%, see rank | 15.10% | 16.60% |
5 Rooms | 1,578, 26.15%, see rank | 23.28% | 20.41% |
6 Rooms | 1,538, 25.48%, see rank | 20.97% | 18.06% |
7 Rooms | 703, 11.65%, see rank | 13.59% | 12.27% |
8 Rooms | 440, 7.29%, see rank | 8.86% | 8.48% |
9 Rooms or More | 1,133, 18.77%, see rank | 10.13% | 10.60% |
Median Rooms | 6.00, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 35645 Zip Code | Alabama | U.S. |
Total Housing Units | 6,324, 100% | 2,172,647 | 131,642,457 |
1 Room | 52, 0.82%, see rank | 1.05% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.14% | 2.36% |
3 Rooms | 40, 0.63%, see rank | 5.97% | 8.97% |
4 Rooms | 489, 7.73%, see rank | 15.40% | 16.57% |
5 Rooms | 1,632, 25.81%, see rank | 23.09% | 20.41% |
6 Rooms | 1,787, 28.26%, see rank | 21.03% | 18.25% |
7 Rooms | 879, 13.90%, see rank | 13.54% | 12.38% |
8 Rooms | 430, 6.80%, see rank | 8.95% | 8.59% |
9 Rooms or More | 1,015, 16.05%, see rank | 9.82% | 10.52% |
Median Rooms | 6.00, see rank | 5.70 | 5.50 |
US Census 2000 data
| 35645 Zip Code | Alabama | U.S. |
Total Housing Units | 5,401, 100% | 1,963,711 | 115,904,641 |
1 Room | 20, 0.37%, see rank | 0.80% | 2.20% |
2 Rooms | 35, 0.65%, see rank | 2.59% | 4.81% |
3 Rooms | 140, 2.59%, see rank | 6.97% | 9.84% |
4 Rooms | 731, 13.53%, see rank | 16.13% | 15.97% |
5 Rooms | 1,301, 24.09%, see rank | 24.55% | 20.89% |
6 Rooms | 1,394, 25.81%, see rank | 21.69% | 18.45% |
7 Rooms | 739, 13.68%, see rank | 13.10% | 12.06% |
8 Rooms | 489, 9.05%, see rank | 7.47% | 8.06% |
9 Rooms or More | 552, 10.22%, 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.