30217 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 30217 Zip Code | Georgia | U.S. |
Total Housing Units | 4,163, 100% | 4,114,496 | 132,741,033 |
1 Room | 27, 0.65%, see rank | 1.17% | 1.95% |
2 Rooms | 67, 1.61%, see rank | 1.24% | 2.48% |
3 Rooms | 199, 4.78%, see rank | 6.18% | 9.13% |
4 Rooms | 842, 20.23%, see rank | 14.51% | 16.60% |
5 Rooms | 1,010, 24.26%, see rank | 21.23% | 20.41% |
6 Rooms | 1,036, 24.89%, see rank | 19.50% | 18.06% |
7 Rooms | 450, 10.81%, see rank | 13.41% | 12.27% |
8 Rooms | 302, 7.25%, see rank | 9.62% | 8.48% |
9 Rooms or More | 230, 5.52%, see rank | 13.12% | 10.60% |
Median Rooms | 5.40, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 30217 Zip Code | Georgia | U.S. |
Total Housing Units | 4,180, 100% | 4,086,231 | 131,642,457 |
1 Room | 34, 0.81%, see rank | 1.16% | 1.95% |
2 Rooms | 71, 1.70%, see rank | 1.22% | 2.36% |
3 Rooms | 185, 4.43%, see rank | 6.27% | 8.97% |
4 Rooms | 825, 19.74%, see rank | 14.71% | 16.57% |
5 Rooms | 1,063, 25.43%, see rank | 21.14% | 20.41% |
6 Rooms | 1,099, 26.29%, see rank | 19.57% | 18.25% |
7 Rooms | 359, 8.59%, see rank | 13.35% | 12.38% |
8 Rooms | 277, 6.63%, see rank | 9.61% | 8.59% |
9 Rooms or More | 267, 6.39%, see rank | 12.97% | 10.52% |
Median Rooms | 5.40, see rank | 5.80 | 5.50 |
US Census 2000 data
| 30217 Zip Code | Georgia | U.S. |
Total Housing Units | 3,669, 100% | 3,281,737 | 115,904,641 |
1 Room | 16, 0.44%, see rank | 1.09% | 2.20% |
2 Rooms | 122, 3.33%, see rank | 3.58% | 4.81% |
3 Rooms | 257, 7.00%, see rank | 7.95% | 9.84% |
4 Rooms | 688, 18.75%, see rank | 15.03% | 15.97% |
5 Rooms | 981, 26.74%, see rank | 21.51% | 20.89% |
6 Rooms | 924, 25.18%, see rank | 20.22% | 18.45% |
7 Rooms | 436, 11.88%, see rank | 12.64% | 12.06% |
8 Rooms | 150, 4.09%, see rank | 8.69% | 8.06% |
9 Rooms or More | 95, 2.59%, 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.