31620 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 31620 Zip Code | Georgia | U.S. |
Total Housing Units | 4,545, 100% | 4,114,496 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.17% | 1.95% |
2 Rooms | 17, 0.37%, see rank | 1.24% | 2.48% |
3 Rooms | 224, 4.93%, see rank | 6.18% | 9.13% |
4 Rooms | 675, 14.85%, see rank | 14.51% | 16.60% |
5 Rooms | 789, 17.36%, see rank | 21.23% | 20.41% |
6 Rooms | 1,208, 26.58%, see rank | 19.50% | 18.06% |
7 Rooms | 792, 17.43%, see rank | 13.41% | 12.27% |
8 Rooms | 541, 11.90%, see rank | 9.62% | 8.48% |
9 Rooms or More | 299, 6.58%, see rank | 13.12% | 10.60% |
Median Rooms | 6.00, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 31620 Zip Code | Georgia | U.S. |
Total Housing Units | 4,356, 100% | 4,086,231 | 131,642,457 |
1 Room | 22, 0.51%, see rank | 1.16% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.22% | 2.36% |
3 Rooms | 279, 6.40%, see rank | 6.27% | 8.97% |
4 Rooms | 689, 15.82%, see rank | 14.71% | 16.57% |
5 Rooms | 1,073, 24.63%, see rank | 21.14% | 20.41% |
6 Rooms | 994, 22.82%, see rank | 19.57% | 18.25% |
7 Rooms | 587, 13.48%, see rank | 13.35% | 12.38% |
8 Rooms | 477, 10.95%, see rank | 9.61% | 8.59% |
9 Rooms or More | 235, 5.39%, see rank | 12.97% | 10.52% |
Median Rooms | 5.60, see rank | 5.80 | 5.50 |
US Census 2000 data
| 31620 Zip Code | Georgia | U.S. |
Total Housing Units | 4,117, 100% | 3,281,737 | 115,904,641 |
1 Room | 16, 0.39%, see rank | 1.09% | 2.20% |
2 Rooms | 124, 3.01%, see rank | 3.58% | 4.81% |
3 Rooms | 270, 6.56%, see rank | 7.95% | 9.84% |
4 Rooms | 698, 16.95%, see rank | 15.03% | 15.97% |
5 Rooms | 1,097, 26.65%, see rank | 21.51% | 20.89% |
6 Rooms | 1,001, 24.31%, see rank | 20.22% | 18.45% |
7 Rooms | 473, 11.49%, see rank | 12.64% | 12.06% |
8 Rooms | 235, 5.71%, see rank | 8.69% | 8.06% |
9 Rooms or More | 203, 4.93%, see rank | 9.29% | 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.