30650 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 30650 Zip Code | Georgia | U.S. |
Total Housing Units | 4,684, 100% | 4,114,496 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.17% | 1.95% |
2 Rooms | 17, 0.36%, see rank | 1.24% | 2.48% |
3 Rooms | 43, 0.92%, see rank | 6.18% | 9.13% |
4 Rooms | 543, 11.59%, see rank | 14.51% | 16.60% |
5 Rooms | 905, 19.32%, see rank | 21.23% | 20.41% |
6 Rooms | 1,265, 27.01%, see rank | 19.50% | 18.06% |
7 Rooms | 854, 18.23%, see rank | 13.41% | 12.27% |
8 Rooms | 365, 7.79%, see rank | 9.62% | 8.48% |
9 Rooms or More | 692, 14.77%, see rank | 13.12% | 10.60% |
Median Rooms | 6.20, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 30650 Zip Code | Georgia | U.S. |
Total Housing Units | 4,954, 100% | 4,086,231 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.16% | 1.95% |
2 Rooms | 26, 0.52%, see rank | 1.22% | 2.36% |
3 Rooms | 138, 2.79%, see rank | 6.27% | 8.97% |
4 Rooms | 458, 9.25%, see rank | 14.71% | 16.57% |
5 Rooms | 1,020, 20.59%, see rank | 21.14% | 20.41% |
6 Rooms | 1,274, 25.72%, see rank | 19.57% | 18.25% |
7 Rooms | 1,036, 20.91%, see rank | 13.35% | 12.38% |
8 Rooms | 434, 8.76%, see rank | 9.61% | 8.59% |
9 Rooms or More | 568, 11.47%, see rank | 12.97% | 10.52% |
Median Rooms | 6.20, see rank | 5.80 | 5.50 |
US Census 2000 data
| 30650 Zip Code | Georgia | U.S. |
Total Housing Units | 3,972, 100% | 3,281,737 | 115,904,641 |
1 Room | 7, 0.18%, see rank | 1.09% | 2.20% |
2 Rooms | 57, 1.44%, see rank | 3.58% | 4.81% |
3 Rooms | 159, 4.00%, see rank | 7.95% | 9.84% |
4 Rooms | 514, 12.94%, see rank | 15.03% | 15.97% |
5 Rooms | 1,055, 26.56%, see rank | 21.51% | 20.89% |
6 Rooms | 1,051, 26.46%, see rank | 20.22% | 18.45% |
7 Rooms | 505, 12.71%, see rank | 12.64% | 12.06% |
8 Rooms | 333, 8.38%, see rank | 8.69% | 8.06% |
9 Rooms or More | 291, 7.33%, see rank | 9.29% | 7.70% |
Median Rooms | 5.70, 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.