30344 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 30344 Zip Code | Georgia | U.S. |
Occupied Units Paying Rent | 6,594, 100% | 1,190,014 | 39,201,928 |
$199 or Less | 9, 0.14%, see rank | 1.50% | 1.50% |
$200 to $299 | 78, 1.18%, see rank | 2.66% | 3.18% |
$300 to $499 | 229, 3.47%, see rank | 7.45% | 7.37% |
$500 to $699 | 959, 14.54%, see rank | 17.24% | 16.01% |
$700 to $999 | 2,853, 43.27%, see rank | 35.81% | 29.17% |
$1,000 to $1,499 | 2,140, 32.45%, see rank | 27.76% | 26.88% |
$1,500 to $1,999 | 309, 4.69%, see rank | 5.62% | 9.79% |
$2,000 or More | 17, 0.26%, see rank | 1.96% | 6.10% |
Median | $915, see rank | $874 | $920 |
ACS 2008-2012 data
Monthly Rental | 30344 Zip Code | Georgia | U.S. |
Occupied Units Paying Rent | 6,403, 100% | 1,116,630 | 37,562,111 |
$199 or Less | 7, 0.11%, see rank | 1.69% | 1.76% |
$200 to $299 | 103, 1.61%, see rank | 2.97% | 3.29% |
$300 to $499 | 365, 5.70%, see rank | 8.41% | 8.20% |
$500 to $699 | 1,149, 17.94%, see rank | 18.64% | 17.39% |
$700 to $999 | 2,650, 41.39%, see rank | 35.83% | 29.40% |
$1,000 to $1,499 | 1,948, 30.42%, see rank | 25.78% | 25.73% |
$1,500 to $1,999 | 181, 2.83%, see rank | 4.95% | 8.92% |
$2,000 or More | 0, 0.00%, see rank | 1.72% | 5.30% |
Median | $860, see rank | $849 | $889 |
US Census 2000 data
Monthly Rental | 30344 Zip Code | Georgia | U.S. |
Occupied Units Paying Rent | 6,736, 100% | 905,913 | 33,386,326 |
$199 or Less | 377, 5.60%, see rank | 6.44% | 5.52% |
$200 to $299 | 273, 4.05%, see rank | 6.18% | 5.45% |
$300 to $499 | 1,211, 17.98%, see rank | 22.20% | 23.18% |
$500 to $699 | 2,858, 42.43%, see rank | 26.87% | 29.57% |
$700 to $999 | 1,715, 25.46%, see rank | 28.51% | 24.06% |
$1,000 to $1,499 | 260, 3.86%, see rank | 8.34% | 9.15% |
$1,500 to $1,999 | 42, 0.62%, see rank | 1.07% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.39% | 1.02% |
Median | $604, 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.