30907 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 30907 Zip Code | Georgia | U.S. |
Occupied Units Paying Rent | 5,177, 100% | 1,190,014 | 39,201,928 |
$199 or Less | 0, 0.00%, see rank | 1.50% | 1.50% |
$200 to $299 | 34, 0.66%, see rank | 2.66% | 3.18% |
$300 to $499 | 0, 0.00%, see rank | 7.45% | 7.37% |
$500 to $699 | 549, 10.60%, see rank | 17.24% | 16.01% |
$700 to $999 | 2,374, 45.86%, see rank | 35.81% | 29.17% |
$1,000 to $1,499 | 1,735, 33.51%, see rank | 27.76% | 26.88% |
$1,500 to $1,999 | 353, 6.82%, see rank | 5.62% | 9.79% |
$2,000 or More | 132, 2.55%, see rank | 1.96% | 6.10% |
Median | $944, see rank | $874 | $920 |
ACS 2008-2012 data
Monthly Rental | 30907 Zip Code | Georgia | U.S. |
Occupied Units Paying Rent | 4,987, 100% | 1,116,630 | 37,562,111 |
$199 or Less | 15, 0.30%, see rank | 1.69% | 1.76% |
$200 to $299 | 33, 0.66%, see rank | 2.97% | 3.29% |
$300 to $499 | 16, 0.32%, see rank | 8.41% | 8.20% |
$500 to $699 | 697, 13.98%, see rank | 18.64% | 17.39% |
$700 to $999 | 2,075, 41.61%, see rank | 35.83% | 29.40% |
$1,000 to $1,499 | 1,737, 34.83%, see rank | 25.78% | 25.73% |
$1,500 to $1,999 | 242, 4.85%, see rank | 4.95% | 8.92% |
$2,000 or More | 172, 3.45%, see rank | 1.72% | 5.30% |
Median | $947, see rank | $849 | $889 |
US Census 2000 data
Monthly Rental | 30907 Zip Code | Georgia | U.S. |
Occupied Units Paying Rent | 4,101, 100% | 905,913 | 33,386,326 |
$199 or Less | 14, 0.34%, see rank | 6.44% | 5.52% |
$200 to $299 | 26, 0.63%, see rank | 6.18% | 5.45% |
$300 to $499 | 559, 13.63%, see rank | 22.20% | 23.18% |
$500 to $699 | 1,946, 47.45%, see rank | 26.87% | 29.57% |
$700 to $999 | 1,150, 28.04%, see rank | 28.51% | 24.06% |
$1,000 to $1,499 | 372, 9.07%, see rank | 8.34% | 9.15% |
$1,500 to $1,999 | 25, 0.61%, see rank | 1.07% | 2.05% |
$2,000 or More | 9, 0.22%, see rank | 0.39% | 1.02% |
Median | $638, 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.