30720 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 30720 Zip Code | Georgia | U.S. |
Occupied Units Paying Rent | 4,175, 100% | 1,190,014 | 39,201,928 |
$199 or Less | 13, 0.31%, see rank | 1.50% | 1.50% |
$200 to $299 | 217, 5.20%, see rank | 2.66% | 3.18% |
$300 to $499 | 570, 13.65%, see rank | 7.45% | 7.37% |
$500 to $699 | 1,536, 36.79%, see rank | 17.24% | 16.01% |
$700 to $999 | 1,355, 32.46%, see rank | 35.81% | 29.17% |
$1,000 to $1,499 | 414, 9.92%, see rank | 27.76% | 26.88% |
$1,500 to $1,999 | 51, 1.22%, see rank | 5.62% | 9.79% |
$2,000 or More | 19, 0.46%, see rank | 1.96% | 6.10% |
Median | $670, see rank | $874 | $920 |
ACS 2008-2012 data
Monthly Rental | 30720 Zip Code | Georgia | U.S. |
Occupied Units Paying Rent | 4,133, 100% | 1,116,630 | 37,562,111 |
$199 or Less | 28, 0.68%, see rank | 1.69% | 1.76% |
$200 to $299 | 188, 4.55%, see rank | 2.97% | 3.29% |
$300 to $499 | 618, 14.95%, see rank | 8.41% | 8.20% |
$500 to $699 | 1,476, 35.71%, see rank | 18.64% | 17.39% |
$700 to $999 | 1,397, 33.80%, see rank | 35.83% | 29.40% |
$1,000 to $1,499 | 354, 8.57%, see rank | 25.78% | 25.73% |
$1,500 to $1,999 | 61, 1.48%, see rank | 4.95% | 8.92% |
$2,000 or More | 11, 0.27%, see rank | 1.72% | 5.30% |
Median | $673, see rank | $849 | $889 |
US Census 2000 data
Monthly Rental | 30720 Zip Code | Georgia | U.S. |
Occupied Units Paying Rent | 3,570, 100% | 905,913 | 33,386,326 |
$199 or Less | 224, 6.27%, see rank | 6.44% | 5.52% |
$200 to $299 | 170, 4.76%, see rank | 6.18% | 5.45% |
$300 to $499 | 1,190, 33.33%, see rank | 22.20% | 23.18% |
$500 to $699 | 1,516, 42.46%, see rank | 26.87% | 29.57% |
$700 to $999 | 321, 8.99%, see rank | 28.51% | 24.06% |
$1,000 to $1,499 | 50, 1.40%, see rank | 8.34% | 9.15% |
$1,500 to $1,999 | 53, 1.48%, see rank | 1.07% | 2.05% |
$2,000 or More | 46, 1.29%, see rank | 0.39% | 1.02% |
Median | $520, 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.