31768 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 31768 Zip Code | Georgia | U.S. |
Occupied Units Paying Rent | 3,417, 100% | 1,190,014 | 39,201,928 |
$199 or Less | 72, 2.11%, see rank | 1.50% | 1.50% |
$200 to $299 | 149, 4.36%, see rank | 2.66% | 3.18% |
$300 to $499 | 979, 28.65%, see rank | 7.45% | 7.37% |
$500 to $699 | 950, 27.80%, see rank | 17.24% | 16.01% |
$700 to $999 | 907, 26.54%, see rank | 35.81% | 29.17% |
$1,000 to $1,499 | 240, 7.02%, see rank | 27.76% | 26.88% |
$1,500 to $1,999 | 94, 2.75%, see rank | 5.62% | 9.79% |
$2,000 or More | 26, 0.76%, see rank | 1.96% | 6.10% |
Median | $604, see rank | $874 | $920 |
ACS 2008-2012 data
Monthly Rental | 31768 Zip Code | Georgia | U.S. |
Occupied Units Paying Rent | 3,187, 100% | 1,116,630 | 37,562,111 |
$199 or Less | 153, 4.80%, see rank | 1.69% | 1.76% |
$200 to $299 | 151, 4.74%, see rank | 2.97% | 3.29% |
$300 to $499 | 958, 30.06%, see rank | 8.41% | 8.20% |
$500 to $699 | 908, 28.49%, see rank | 18.64% | 17.39% |
$700 to $999 | 850, 26.67%, see rank | 35.83% | 29.40% |
$1,000 to $1,499 | 132, 4.14%, see rank | 25.78% | 25.73% |
$1,500 to $1,999 | 35, 1.10%, see rank | 4.95% | 8.92% |
$2,000 or More | 0, 0.00%, see rank | 1.72% | 5.30% |
Median | $590, see rank | $849 | $889 |
US Census 2000 data
Monthly Rental | 31768 Zip Code | Georgia | U.S. |
Occupied Units Paying Rent | 4,078, 100% | 905,913 | 33,386,326 |
$199 or Less | 547, 13.41%, see rank | 6.44% | 5.52% |
$200 to $299 | 692, 16.97%, see rank | 6.18% | 5.45% |
$300 to $499 | 1,965, 48.19%, see rank | 22.20% | 23.18% |
$500 to $699 | 630, 15.45%, see rank | 26.87% | 29.57% |
$700 to $999 | 169, 4.14%, see rank | 28.51% | 24.06% |
$1,000 to $1,499 | 68, 1.67%, see rank | 8.34% | 9.15% |
$1,500 to $1,999 | 0, 0.00%, see rank | 1.07% | 2.05% |
$2,000 or More | 7, 0.17%, see rank | 0.39% | 1.02% |
Median | $372, 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.