31064 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 31064 Zip Code | Georgia | U.S. |
Total Housing Units | 4,181, 100% | 4,114,496 | 132,741,033 |
1 Room | 17, 0.41%, see rank | 1.17% | 1.95% |
2 Rooms | 24, 0.57%, see rank | 1.24% | 2.48% |
3 Rooms | 191, 4.57%, see rank | 6.18% | 9.13% |
4 Rooms | 504, 12.05%, see rank | 14.51% | 16.60% |
5 Rooms | 1,275, 30.50%, see rank | 21.23% | 20.41% |
6 Rooms | 870, 20.81%, see rank | 19.50% | 18.06% |
7 Rooms | 621, 14.85%, see rank | 13.41% | 12.27% |
8 Rooms | 377, 9.02%, see rank | 9.62% | 8.48% |
9 Rooms or More | 302, 7.22%, see rank | 13.12% | 10.60% |
Median Rooms | 5.60, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 31064 Zip Code | Georgia | U.S. |
Total Housing Units | 4,076, 100% | 4,086,231 | 131,642,457 |
1 Room | 35, 0.86%, see rank | 1.16% | 1.95% |
2 Rooms | 38, 0.93%, see rank | 1.22% | 2.36% |
3 Rooms | 88, 2.16%, see rank | 6.27% | 8.97% |
4 Rooms | 479, 11.75%, see rank | 14.71% | 16.57% |
5 Rooms | 1,244, 30.52%, see rank | 21.14% | 20.41% |
6 Rooms | 1,051, 25.79%, see rank | 19.57% | 18.25% |
7 Rooms | 488, 11.97%, see rank | 13.35% | 12.38% |
8 Rooms | 324, 7.95%, see rank | 9.61% | 8.59% |
9 Rooms or More | 329, 8.07%, see rank | 12.97% | 10.52% |
Median Rooms | 5.60, see rank | 5.80 | 5.50 |
US Census 2000 data
| 31064 Zip Code | Georgia | U.S. |
Total Housing Units | 3,414, 100% | 3,281,737 | 115,904,641 |
1 Room | 13, 0.38%, see rank | 1.09% | 2.20% |
2 Rooms | 106, 3.10%, see rank | 3.58% | 4.81% |
3 Rooms | 215, 6.30%, see rank | 7.95% | 9.84% |
4 Rooms | 521, 15.26%, see rank | 15.03% | 15.97% |
5 Rooms | 818, 23.96%, see rank | 21.51% | 20.89% |
6 Rooms | 802, 23.49%, see rank | 20.22% | 18.45% |
7 Rooms | 425, 12.45%, see rank | 12.64% | 12.06% |
8 Rooms | 379, 11.10%, see rank | 8.69% | 8.06% |
9 Rooms or More | 135, 3.95%, see rank | 9.29% | 7.70% |
Median Rooms | 5.50, 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.