31510 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 31510 Zip Code | Georgia | U.S. |
Total Housing Units | 4,328, 100% | 4,114,496 | 132,741,033 |
1 Room | 25, 0.58%, see rank | 1.17% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.24% | 2.48% |
3 Rooms | 199, 4.60%, see rank | 6.18% | 9.13% |
4 Rooms | 679, 15.69%, see rank | 14.51% | 16.60% |
5 Rooms | 1,313, 30.34%, see rank | 21.23% | 20.41% |
6 Rooms | 923, 21.33%, see rank | 19.50% | 18.06% |
7 Rooms | 611, 14.12%, see rank | 13.41% | 12.27% |
8 Rooms | 236, 5.45%, see rank | 9.62% | 8.48% |
9 Rooms or More | 342, 7.90%, see rank | 13.12% | 10.60% |
Median Rooms | 5.50, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 31510 Zip Code | Georgia | U.S. |
Total Housing Units | 4,260, 100% | 4,086,231 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.16% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.22% | 2.36% |
3 Rooms | 122, 2.86%, see rank | 6.27% | 8.97% |
4 Rooms | 847, 19.88%, see rank | 14.71% | 16.57% |
5 Rooms | 1,225, 28.76%, see rank | 21.14% | 20.41% |
6 Rooms | 1,070, 25.12%, see rank | 19.57% | 18.25% |
7 Rooms | 451, 10.59%, see rank | 13.35% | 12.38% |
8 Rooms | 247, 5.80%, see rank | 9.61% | 8.59% |
9 Rooms or More | 298, 7.00%, see rank | 12.97% | 10.52% |
Median Rooms | 5.40, see rank | 5.80 | 5.50 |
US Census 2000 data
| 31510 Zip Code | Georgia | U.S. |
Total Housing Units | 3,928, 100% | 3,281,737 | 115,904,641 |
1 Room | 63, 1.60%, see rank | 1.09% | 2.20% |
2 Rooms | 115, 2.93%, see rank | 3.58% | 4.81% |
3 Rooms | 330, 8.40%, see rank | 7.95% | 9.84% |
4 Rooms | 666, 16.96%, see rank | 15.03% | 15.97% |
5 Rooms | 915, 23.29%, see rank | 21.51% | 20.89% |
6 Rooms | 954, 24.29%, see rank | 20.22% | 18.45% |
7 Rooms | 545, 13.87%, see rank | 12.64% | 12.06% |
8 Rooms | 224, 5.70%, see rank | 8.69% | 8.06% |
9 Rooms or More | 116, 2.95%, 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.