30533 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 30533 Zip Code | Georgia | U.S. |
Total Housing Units | 11,256, 100% | 4,114,496 | 132,741,033 |
1 Room | 229, 2.03%, see rank | 1.17% | 1.95% |
2 Rooms | 132, 1.17%, see rank | 1.24% | 2.48% |
3 Rooms | 982, 8.72%, see rank | 6.18% | 9.13% |
4 Rooms | 2,247, 19.96%, see rank | 14.51% | 16.60% |
5 Rooms | 1,811, 16.09%, see rank | 21.23% | 20.41% |
6 Rooms | 2,010, 17.86%, see rank | 19.50% | 18.06% |
7 Rooms | 1,505, 13.37%, see rank | 13.41% | 12.27% |
8 Rooms | 1,036, 9.20%, see rank | 9.62% | 8.48% |
9 Rooms or More | 1,304, 11.58%, see rank | 13.12% | 10.60% |
Median Rooms | 5.60, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 30533 Zip Code | Georgia | U.S. |
Total Housing Units | 11,141, 100% | 4,086,231 | 131,642,457 |
1 Room | 148, 1.33%, see rank | 1.16% | 1.95% |
2 Rooms | 133, 1.19%, see rank | 1.22% | 2.36% |
3 Rooms | 743, 6.67%, see rank | 6.27% | 8.97% |
4 Rooms | 2,187, 19.63%, see rank | 14.71% | 16.57% |
5 Rooms | 2,080, 18.67%, see rank | 21.14% | 20.41% |
6 Rooms | 2,014, 18.08%, see rank | 19.57% | 18.25% |
7 Rooms | 1,555, 13.96%, see rank | 13.35% | 12.38% |
8 Rooms | 806, 7.23%, see rank | 9.61% | 8.59% |
9 Rooms or More | 1,475, 13.24%, see rank | 12.97% | 10.52% |
Median Rooms | 5.60, see rank | 5.80 | 5.50 |
US Census 2000 data
| 30533 Zip Code | Georgia | U.S. |
Total Housing Units | 7,401, 100% | 3,281,737 | 115,904,641 |
1 Room | 17, 0.23%, see rank | 1.09% | 2.20% |
2 Rooms | 214, 2.89%, see rank | 3.58% | 4.81% |
3 Rooms | 540, 7.30%, see rank | 7.95% | 9.84% |
4 Rooms | 1,336, 18.05%, see rank | 15.03% | 15.97% |
5 Rooms | 1,865, 25.20%, see rank | 21.51% | 20.89% |
6 Rooms | 1,629, 22.01%, see rank | 20.22% | 18.45% |
7 Rooms | 864, 11.67%, see rank | 12.64% | 12.06% |
8 Rooms | 482, 6.51%, see rank | 8.69% | 8.06% |
9 Rooms or More | 454, 6.13%, 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.