31088 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 31088 Zip Code | Georgia | U.S. |
Occupied Units Paying Rent | 5,975, 100% | 1,190,014 | 39,201,928 |
$199 or Less | 35, 0.59%, see rank | 1.50% | 1.50% |
$200 to $299 | 47, 0.79%, see rank | 2.66% | 3.18% |
$300 to $499 | 216, 3.62%, see rank | 7.45% | 7.37% |
$500 to $699 | 958, 16.03%, see rank | 17.24% | 16.01% |
$700 to $999 | 3,113, 52.10%, see rank | 35.81% | 29.17% |
$1,000 to $1,499 | 1,268, 21.22%, see rank | 27.76% | 26.88% |
$1,500 to $1,999 | 151, 2.53%, see rank | 5.62% | 9.79% |
$2,000 or More | 187, 3.13%, see rank | 1.96% | 6.10% |
Median | $877, see rank | $874 | $920 |
ACS 2008-2012 data
Monthly Rental | 31088 Zip Code | Georgia | U.S. |
Occupied Units Paying Rent | 5,841, 100% | 1,116,630 | 37,562,111 |
$199 or Less | 14, 0.24%, see rank | 1.69% | 1.76% |
$200 to $299 | 52, 0.89%, see rank | 2.97% | 3.29% |
$300 to $499 | 327, 5.60%, see rank | 8.41% | 8.20% |
$500 to $699 | 925, 15.84%, see rank | 18.64% | 17.39% |
$700 to $999 | 3,121, 53.43%, see rank | 35.83% | 29.40% |
$1,000 to $1,499 | 1,204, 20.61%, see rank | 25.78% | 25.73% |
$1,500 to $1,999 | 169, 2.89%, see rank | 4.95% | 8.92% |
$2,000 or More | 29, 0.50%, see rank | 1.72% | 5.30% |
Median | $821, see rank | $849 | $889 |
US Census 2000 data
Monthly Rental | 31088 Zip Code | Georgia | U.S. |
Occupied Units Paying Rent | 4,449, 100% | 905,913 | 33,386,326 |
$199 or Less | 72, 1.62%, see rank | 6.44% | 5.52% |
$200 to $299 | 124, 2.79%, see rank | 6.18% | 5.45% |
$300 to $499 | 1,024, 23.02%, see rank | 22.20% | 23.18% |
$500 to $699 | 1,615, 36.30%, see rank | 26.87% | 29.57% |
$700 to $999 | 1,466, 32.95%, see rank | 28.51% | 24.06% |
$1,000 to $1,499 | 133, 2.99%, see rank | 8.34% | 9.15% |
$1,500 to $1,999 | 15, 0.34%, see rank | 1.07% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.39% | 1.02% |
Median | $623, 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.