30002 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 30002 Zip Code | Georgia | U.S. |
Total Housing Units | 3,007, 100% | 4,114,496 | 132,741,033 |
1 Room | 85, 2.83%, see rank | 1.17% | 1.95% |
2 Rooms | 31, 1.03%, see rank | 1.24% | 2.48% |
3 Rooms | 325, 10.81%, see rank | 6.18% | 9.13% |
4 Rooms | 699, 23.25%, see rank | 14.51% | 16.60% |
5 Rooms | 494, 16.43%, see rank | 21.23% | 20.41% |
6 Rooms | 510, 16.96%, see rank | 19.50% | 18.06% |
7 Rooms | 350, 11.64%, see rank | 13.41% | 12.27% |
8 Rooms | 237, 7.88%, see rank | 9.62% | 8.48% |
9 Rooms or More | 276, 9.18%, see rank | 13.12% | 10.60% |
Median Rooms | 5.20, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 30002 Zip Code | Georgia | U.S. |
Total Housing Units | 2,967, 100% | 4,086,231 | 131,642,457 |
1 Room | 71, 2.39%, see rank | 1.16% | 1.95% |
2 Rooms | 12, 0.40%, see rank | 1.22% | 2.36% |
3 Rooms | 239, 8.06%, see rank | 6.27% | 8.97% |
4 Rooms | 691, 23.29%, see rank | 14.71% | 16.57% |
5 Rooms | 532, 17.93%, see rank | 21.14% | 20.41% |
6 Rooms | 389, 13.11%, see rank | 19.57% | 18.25% |
7 Rooms | 549, 18.50%, see rank | 13.35% | 12.38% |
8 Rooms | 204, 6.88%, see rank | 9.61% | 8.59% |
9 Rooms or More | 280, 9.44%, see rank | 12.97% | 10.52% |
Median Rooms | 5.40, see rank | 5.80 | 5.50 |
US Census 2000 data
| 30002 Zip Code | Georgia | U.S. |
Total Housing Units | 2,490, 100% | 3,281,737 | 115,904,641 |
1 Room | 40, 1.61%, see rank | 1.09% | 2.20% |
2 Rooms | 210, 8.43%, see rank | 3.58% | 4.81% |
3 Rooms | 267, 10.72%, see rank | 7.95% | 9.84% |
4 Rooms | 406, 16.31%, see rank | 15.03% | 15.97% |
5 Rooms | 432, 17.35%, see rank | 21.51% | 20.89% |
6 Rooms | 392, 15.74%, see rank | 20.22% | 18.45% |
7 Rooms | 334, 13.41%, see rank | 12.64% | 12.06% |
8 Rooms | 178, 7.15%, see rank | 8.69% | 8.06% |
9 Rooms or More | 231, 9.28%, see rank | 9.29% | 7.70% |
Median Rooms | 5.20, 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.