31707 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 31707 Zip Code | Georgia | U.S. |
Occupied Units Paying Rent | 6,187, 100% | 1,190,014 | 39,201,928 |
$199 or Less | 10, 0.16%, see rank | 1.50% | 1.50% |
$200 to $299 | 169, 2.73%, see rank | 2.66% | 3.18% |
$300 to $499 | 419, 6.77%, see rank | 7.45% | 7.37% |
$500 to $699 | 1,939, 31.34%, see rank | 17.24% | 16.01% |
$700 to $999 | 3,023, 48.86%, see rank | 35.81% | 29.17% |
$1,000 to $1,499 | 574, 9.28%, see rank | 27.76% | 26.88% |
$1,500 to $1,999 | 53, 0.86%, see rank | 5.62% | 9.79% |
$2,000 or More | 0, 0.00%, see rank | 1.96% | 6.10% |
Median | $744, see rank | $874 | $920 |
ACS 2008-2012 data
Monthly Rental | 31707 Zip Code | Georgia | U.S. |
Occupied Units Paying Rent | 5,888, 100% | 1,116,630 | 37,562,111 |
$199 or Less | 62, 1.05%, see rank | 1.69% | 1.76% |
$200 to $299 | 41, 0.70%, see rank | 2.97% | 3.29% |
$300 to $499 | 445, 7.56%, see rank | 8.41% | 8.20% |
$500 to $699 | 2,315, 39.32%, see rank | 18.64% | 17.39% |
$700 to $999 | 2,418, 41.07%, see rank | 35.83% | 29.40% |
$1,000 to $1,499 | 587, 9.97%, see rank | 25.78% | 25.73% |
$1,500 to $1,999 | 20, 0.34%, see rank | 4.95% | 8.92% |
$2,000 or More | 0, 0.00%, see rank | 1.72% | 5.30% |
Median | $708, see rank | $849 | $889 |
US Census 2000 data
Monthly Rental | 31707 Zip Code | Georgia | U.S. |
Occupied Units Paying Rent | 5,919, 100% | 905,913 | 33,386,326 |
$199 or Less | 70, 1.18%, see rank | 6.44% | 5.52% |
$200 to $299 | 208, 3.51%, see rank | 6.18% | 5.45% |
$300 to $499 | 2,015, 34.04%, see rank | 22.20% | 23.18% |
$500 to $699 | 2,497, 42.19%, see rank | 26.87% | 29.57% |
$700 to $999 | 996, 16.83%, see rank | 28.51% | 24.06% |
$1,000 to $1,499 | 122, 2.06%, see rank | 8.34% | 9.15% |
$1,500 to $1,999 | 11, 0.19%, see rank | 1.07% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.39% | 1.02% |
Median | $543, 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.