30563 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
| Monthly Rental | 30563 Zip Code | Georgia | U.S. |
| Occupied Units Paying Rent | 225, 100% | 1,190,014 | 39,201,928 |
| $199 or Less | 28, 12.44%, see rank | 1.50% | 1.50% |
| $200 to $299 | 0, 0.00%, see rank | 2.66% | 3.18% |
| $300 to $499 | 29, 12.89%, see rank | 7.45% | 7.37% |
| $500 to $699 | 84, 37.33%, see rank | 17.24% | 16.01% |
| $700 to $999 | 47, 20.89%, see rank | 35.81% | 29.17% |
| $1,000 to $1,499 | 22, 9.78%, see rank | 27.76% | 26.88% |
| $1,500 to $1,999 | 15, 6.67%, see rank | 5.62% | 9.79% |
| $2,000 or More | 0, 0.00%, see rank | 1.96% | 6.10% |
| Median | $594, see rank | $874 | $920 |
ACS 2008-2012 data
| Monthly Rental | 30563 Zip Code | Georgia | U.S. |
| Occupied Units Paying Rent | 170, 100% | 1,116,630 | 37,562,111 |
| $199 or Less | 0, 0.00%, see rank | 1.69% | 1.76% |
| $200 to $299 | 8, 4.71%, see rank | 2.97% | 3.29% |
| $300 to $499 | 58, 34.12%, see rank | 8.41% | 8.20% |
| $500 to $699 | 53, 31.18%, see rank | 18.64% | 17.39% |
| $700 to $999 | 33, 19.41%, see rank | 35.83% | 29.40% |
| $1,000 to $1,499 | 18, 10.59%, see rank | 25.78% | 25.73% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 4.95% | 8.92% |
| $2,000 or More | 0, 0.00%, see rank | 1.72% | 5.30% |
| Median | $545, see rank | $849 | $889 |
US Census 2000 data
| Monthly Rental | 30563 Zip Code | Georgia | U.S. |
| Occupied Units Paying Rent | 199, 100% | 905,913 | 33,386,326 |
| $199 or Less | 17, 8.54%, see rank | 6.44% | 5.52% |
| $200 to $299 | 6, 3.02%, see rank | 6.18% | 5.45% |
| $300 to $499 | 95, 47.74%, see rank | 22.20% | 23.18% |
| $500 to $699 | 61, 30.65%, see rank | 26.87% | 29.57% |
| $700 to $999 | 20, 10.05%, see rank | 28.51% | 24.06% |
| $1,000 to $1,499 | 0, 0.00%, see rank | 8.34% | 9.15% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 1.07% | 2.05% |
| $2,000 or More | 0, 0.00%, see rank | 0.39% | 1.02% |
| Median | $475, see rank | $613 | $602 |
* 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.
