30817 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 30817 Zip Code | Georgia | U.S. |
Total Housing Units | 4,206, 100% | 4,114,496 | 132,741,033 |
1 Room | 2, 0.05%, see rank | 1.17% | 1.95% |
2 Rooms | 22, 0.52%, see rank | 1.24% | 2.48% |
3 Rooms | 165, 3.92%, see rank | 6.18% | 9.13% |
4 Rooms | 689, 16.38%, see rank | 14.51% | 16.60% |
5 Rooms | 1,167, 27.75%, see rank | 21.23% | 20.41% |
6 Rooms | 962, 22.87%, see rank | 19.50% | 18.06% |
7 Rooms | 597, 14.19%, see rank | 13.41% | 12.27% |
8 Rooms | 235, 5.59%, see rank | 9.62% | 8.48% |
9 Rooms or More | 367, 8.73%, see rank | 13.12% | 10.60% |
Median Rooms | 5.60, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 30817 Zip Code | Georgia | U.S. |
Total Housing Units | 4,237, 100% | 4,086,231 | 131,642,457 |
1 Room | 3, 0.07%, see rank | 1.16% | 1.95% |
2 Rooms | 33, 0.78%, see rank | 1.22% | 2.36% |
3 Rooms | 163, 3.85%, see rank | 6.27% | 8.97% |
4 Rooms | 761, 17.96%, see rank | 14.71% | 16.57% |
5 Rooms | 1,121, 26.46%, see rank | 21.14% | 20.41% |
6 Rooms | 950, 22.42%, see rank | 19.57% | 18.25% |
7 Rooms | 430, 10.15%, see rank | 13.35% | 12.38% |
8 Rooms | 452, 10.67%, see rank | 9.61% | 8.59% |
9 Rooms or More | 324, 7.65%, see rank | 12.97% | 10.52% |
Median Rooms | 5.50, see rank | 5.80 | 5.50 |
US Census 2000 data
| 30817 Zip Code | Georgia | U.S. |
Total Housing Units | 4,006, 100% | 3,281,737 | 115,904,641 |
1 Room | 35, 0.87%, see rank | 1.09% | 2.20% |
2 Rooms | 90, 2.25%, see rank | 3.58% | 4.81% |
3 Rooms | 265, 6.62%, see rank | 7.95% | 9.84% |
4 Rooms | 744, 18.57%, see rank | 15.03% | 15.97% |
5 Rooms | 1,054, 26.31%, see rank | 21.51% | 20.89% |
6 Rooms | 732, 18.27%, see rank | 20.22% | 18.45% |
7 Rooms | 579, 14.45%, see rank | 12.64% | 12.06% |
8 Rooms | 285, 7.11%, see rank | 8.69% | 8.06% |
9 Rooms or More | 222, 5.54%, see rank | 9.29% | 7.70% |
Median Rooms | 5.30, 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.