31768 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 31768 Zip Code | Georgia | U.S. |
Total Housing Units | 9,909, 100% | 4,114,496 | 132,741,033 |
1 Room | 107, 1.08%, see rank | 1.17% | 1.95% |
2 Rooms | 153, 1.54%, see rank | 1.24% | 2.48% |
3 Rooms | 1,190, 12.01%, see rank | 6.18% | 9.13% |
4 Rooms | 1,887, 19.04%, see rank | 14.51% | 16.60% |
5 Rooms | 2,334, 23.55%, see rank | 21.23% | 20.41% |
6 Rooms | 1,538, 15.52%, see rank | 19.50% | 18.06% |
7 Rooms | 1,071, 10.81%, see rank | 13.41% | 12.27% |
8 Rooms | 794, 8.01%, see rank | 9.62% | 8.48% |
9 Rooms or More | 835, 8.43%, see rank | 13.12% | 10.60% |
Median Rooms | 5.20, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 31768 Zip Code | Georgia | U.S. |
Total Housing Units | 9,961, 100% | 4,086,231 | 131,642,457 |
1 Room | 78, 0.78%, see rank | 1.16% | 1.95% |
2 Rooms | 104, 1.04%, see rank | 1.22% | 2.36% |
3 Rooms | 1,065, 10.69%, see rank | 6.27% | 8.97% |
4 Rooms | 1,785, 17.92%, see rank | 14.71% | 16.57% |
5 Rooms | 2,329, 23.38%, see rank | 21.14% | 20.41% |
6 Rooms | 1,672, 16.79%, see rank | 19.57% | 18.25% |
7 Rooms | 1,148, 11.52%, see rank | 13.35% | 12.38% |
8 Rooms | 965, 9.69%, see rank | 9.61% | 8.59% |
9 Rooms or More | 815, 8.18%, see rank | 12.97% | 10.52% |
Median Rooms | 5.30, see rank | 5.80 | 5.50 |
US Census 2000 data
| 31768 Zip Code | Georgia | U.S. |
Total Housing Units | 13,562, 100% | 3,281,737 | 115,904,641 |
1 Room | 106, 0.78%, see rank | 1.09% | 2.20% |
2 Rooms | 560, 4.13%, see rank | 3.58% | 4.81% |
3 Rooms | 1,271, 9.37%, see rank | 7.95% | 9.84% |
4 Rooms | 2,194, 16.18%, see rank | 15.03% | 15.97% |
5 Rooms | 3,317, 24.46%, see rank | 21.51% | 20.89% |
6 Rooms | 3,009, 22.19%, see rank | 20.22% | 18.45% |
7 Rooms | 1,624, 11.97%, see rank | 12.64% | 12.06% |
8 Rooms | 792, 5.84%, see rank | 8.69% | 8.06% |
9 Rooms or More | 689, 5.08%, see rank | 9.29% | 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.