35218 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 35218 Zip Code | Alabama | U.S. |
Total Housing Units | 3,670, 100% | 2,190,638 | 132,741,033 |
1 Room | 19, 0.52%, see rank | 1.12% | 1.95% |
2 Rooms | 55, 1.50%, see rank | 1.17% | 2.48% |
3 Rooms | 193, 5.26%, see rank | 5.77% | 9.13% |
4 Rooms | 948, 25.83%, see rank | 15.10% | 16.60% |
5 Rooms | 954, 25.99%, see rank | 23.28% | 20.41% |
6 Rooms | 761, 20.74%, see rank | 20.97% | 18.06% |
7 Rooms | 433, 11.80%, see rank | 13.59% | 12.27% |
8 Rooms | 160, 4.36%, see rank | 8.86% | 8.48% |
9 Rooms or More | 147, 4.01%, see rank | 10.13% | 10.60% |
Median Rooms | 5.10, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 35218 Zip Code | Alabama | U.S. |
Total Housing Units | 3,815, 100% | 2,172,647 | 131,642,457 |
1 Room | 11, 0.29%, see rank | 1.05% | 1.95% |
2 Rooms | 48, 1.26%, see rank | 1.14% | 2.36% |
3 Rooms | 221, 5.79%, see rank | 5.97% | 8.97% |
4 Rooms | 896, 23.49%, see rank | 15.40% | 16.57% |
5 Rooms | 953, 24.98%, see rank | 23.09% | 20.41% |
6 Rooms | 747, 19.58%, see rank | 21.03% | 18.25% |
7 Rooms | 449, 11.77%, see rank | 13.54% | 12.38% |
8 Rooms | 274, 7.18%, see rank | 8.95% | 8.59% |
9 Rooms or More | 216, 5.66%, see rank | 9.82% | 10.52% |
Median Rooms | 5.30, see rank | 5.70 | 5.50 |
US Census 2000 data
| 35218 Zip Code | Alabama | U.S. |
Total Housing Units | 4,510, 100% | 1,963,711 | 115,904,641 |
1 Room | 28, 0.62%, see rank | 0.80% | 2.20% |
2 Rooms | 157, 3.48%, see rank | 2.59% | 4.81% |
3 Rooms | 470, 10.42%, see rank | 6.97% | 9.84% |
4 Rooms | 1,064, 23.59%, see rank | 16.13% | 15.97% |
5 Rooms | 1,029, 22.82%, see rank | 24.55% | 20.89% |
6 Rooms | 940, 20.84%, see rank | 21.69% | 18.45% |
7 Rooms | 371, 8.23%, see rank | 13.10% | 12.06% |
8 Rooms | 255, 5.65%, see rank | 7.47% | 8.06% |
9 Rooms or More | 196, 4.35%, see rank | 6.71% | 7.70% |
Median Rooms | 5.00, 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.