30662 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 30662 Zip Code | Georgia | U.S. |
Total Housing Units | 3,875, 100% | 4,114,496 | 132,741,033 |
1 Room | 41, 1.06%, see rank | 1.17% | 1.95% |
2 Rooms | 33, 0.85%, see rank | 1.24% | 2.48% |
3 Rooms | 201, 5.19%, see rank | 6.18% | 9.13% |
4 Rooms | 640, 16.52%, see rank | 14.51% | 16.60% |
5 Rooms | 1,111, 28.67%, see rank | 21.23% | 20.41% |
6 Rooms | 849, 21.91%, see rank | 19.50% | 18.06% |
7 Rooms | 413, 10.66%, see rank | 13.41% | 12.27% |
8 Rooms | 212, 5.47%, see rank | 9.62% | 8.48% |
9 Rooms or More | 375, 9.68%, see rank | 13.12% | 10.60% |
Median Rooms | 5.40, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 30662 Zip Code | Georgia | U.S. |
Total Housing Units | 3,926, 100% | 4,086,231 | 131,642,457 |
1 Room | 55, 1.40%, see rank | 1.16% | 1.95% |
2 Rooms | 25, 0.64%, see rank | 1.22% | 2.36% |
3 Rooms | 263, 6.70%, see rank | 6.27% | 8.97% |
4 Rooms | 714, 18.19%, see rank | 14.71% | 16.57% |
5 Rooms | 897, 22.85%, see rank | 21.14% | 20.41% |
6 Rooms | 769, 19.59%, see rank | 19.57% | 18.25% |
7 Rooms | 387, 9.86%, see rank | 13.35% | 12.38% |
8 Rooms | 405, 10.32%, see rank | 9.61% | 8.59% |
9 Rooms or More | 411, 10.47%, see rank | 12.97% | 10.52% |
Median Rooms | 5.50, see rank | 5.80 | 5.50 |
US Census 2000 data
| 30662 Zip Code | Georgia | U.S. |
Total Housing Units | 3,515, 100% | 3,281,737 | 115,904,641 |
1 Room | 16, 0.46%, see rank | 1.09% | 2.20% |
2 Rooms | 57, 1.62%, see rank | 3.58% | 4.81% |
3 Rooms | 202, 5.75%, see rank | 7.95% | 9.84% |
4 Rooms | 680, 19.35%, see rank | 15.03% | 15.97% |
5 Rooms | 1,095, 31.15%, see rank | 21.51% | 20.89% |
6 Rooms | 725, 20.63%, see rank | 20.22% | 18.45% |
7 Rooms | 367, 10.44%, see rank | 12.64% | 12.06% |
8 Rooms | 176, 5.01%, see rank | 8.69% | 8.06% |
9 Rooms or More | 197, 5.60%, 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.