30268 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 30268 Zip Code | Georgia | U.S. |
Total Housing Units | 3,791, 100% | 4,114,496 | 132,741,033 |
1 Room | 58, 1.53%, see rank | 1.17% | 1.95% |
2 Rooms | 39, 1.03%, see rank | 1.24% | 2.48% |
3 Rooms | 109, 2.88%, see rank | 6.18% | 9.13% |
4 Rooms | 508, 13.40%, see rank | 14.51% | 16.60% |
5 Rooms | 940, 24.80%, see rank | 21.23% | 20.41% |
6 Rooms | 892, 23.53%, see rank | 19.50% | 18.06% |
7 Rooms | 435, 11.47%, see rank | 13.41% | 12.27% |
8 Rooms | 315, 8.31%, see rank | 9.62% | 8.48% |
9 Rooms or More | 495, 13.06%, see rank | 13.12% | 10.60% |
Median Rooms | 5.80, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 30268 Zip Code | Georgia | U.S. |
Total Housing Units | 4,038, 100% | 4,086,231 | 131,642,457 |
1 Room | 156, 3.86%, see rank | 1.16% | 1.95% |
2 Rooms | 42, 1.04%, see rank | 1.22% | 2.36% |
3 Rooms | 148, 3.67%, see rank | 6.27% | 8.97% |
4 Rooms | 456, 11.29%, see rank | 14.71% | 16.57% |
5 Rooms | 849, 21.03%, see rank | 21.14% | 20.41% |
6 Rooms | 1,151, 28.50%, see rank | 19.57% | 18.25% |
7 Rooms | 417, 10.33%, see rank | 13.35% | 12.38% |
8 Rooms | 355, 8.79%, see rank | 9.61% | 8.59% |
9 Rooms or More | 464, 11.49%, see rank | 12.97% | 10.52% |
Median Rooms | 5.80, see rank | 5.80 | 5.50 |
US Census 2000 data
| 30268 Zip Code | Georgia | U.S. |
Total Housing Units | 2,827, 100% | 3,281,737 | 115,904,641 |
1 Room | 19, 0.67%, see rank | 1.09% | 2.20% |
2 Rooms | 62, 2.19%, see rank | 3.58% | 4.81% |
3 Rooms | 95, 3.36%, see rank | 7.95% | 9.84% |
4 Rooms | 426, 15.07%, see rank | 15.03% | 15.97% |
5 Rooms | 755, 26.71%, see rank | 21.51% | 20.89% |
6 Rooms | 778, 27.52%, see rank | 20.22% | 18.45% |
7 Rooms | 350, 12.38%, see rank | 12.64% | 12.06% |
8 Rooms | 213, 7.53%, see rank | 8.69% | 8.06% |
9 Rooms or More | 129, 4.56%, see rank | 9.29% | 7.70% |
Median Rooms | 5.60, 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.