30103 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 30103 Zip Code | Georgia | U.S. |
Total Housing Units | 5,911, 100% | 4,114,496 | 132,741,033 |
1 Room | 106, 1.79%, see rank | 1.17% | 1.95% |
2 Rooms | 64, 1.08%, see rank | 1.24% | 2.48% |
3 Rooms | 173, 2.93%, see rank | 6.18% | 9.13% |
4 Rooms | 811, 13.72%, see rank | 14.51% | 16.60% |
5 Rooms | 1,802, 30.49%, see rank | 21.23% | 20.41% |
6 Rooms | 1,227, 20.76%, see rank | 19.50% | 18.06% |
7 Rooms | 827, 13.99%, see rank | 13.41% | 12.27% |
8 Rooms | 443, 7.49%, see rank | 9.62% | 8.48% |
9 Rooms or More | 458, 7.75%, see rank | 13.12% | 10.60% |
Median Rooms | 5.50, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 30103 Zip Code | Georgia | U.S. |
Total Housing Units | 6,135, 100% | 4,086,231 | 131,642,457 |
1 Room | 104, 1.70%, see rank | 1.16% | 1.95% |
2 Rooms | 15, 0.24%, see rank | 1.22% | 2.36% |
3 Rooms | 215, 3.50%, see rank | 6.27% | 8.97% |
4 Rooms | 948, 15.45%, see rank | 14.71% | 16.57% |
5 Rooms | 1,515, 24.69%, see rank | 21.14% | 20.41% |
6 Rooms | 1,381, 22.51%, see rank | 19.57% | 18.25% |
7 Rooms | 1,020, 16.63%, see rank | 13.35% | 12.38% |
8 Rooms | 483, 7.87%, see rank | 9.61% | 8.59% |
9 Rooms or More | 454, 7.40%, see rank | 12.97% | 10.52% |
Median Rooms | 5.70, see rank | 5.80 | 5.50 |
US Census 2000 data
| 30103 Zip Code | Georgia | U.S. |
Total Housing Units | 4,369, 100% | 3,281,737 | 115,904,641 |
1 Room | 41, 0.94%, see rank | 1.09% | 2.20% |
2 Rooms | 75, 1.72%, see rank | 3.58% | 4.81% |
3 Rooms | 152, 3.48%, see rank | 7.95% | 9.84% |
4 Rooms | 840, 19.23%, see rank | 15.03% | 15.97% |
5 Rooms | 1,239, 28.36%, see rank | 21.51% | 20.89% |
6 Rooms | 935, 21.40%, see rank | 20.22% | 18.45% |
7 Rooms | 547, 12.52%, see rank | 12.64% | 12.06% |
8 Rooms | 256, 5.86%, see rank | 8.69% | 8.06% |
9 Rooms or More | 284, 6.50%, 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.