30161 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 30161 Zip Code | Georgia | U.S. |
Occupied Units Paying Rent | 5,139, 100% | 1,190,014 | 39,201,928 |
$199 or Less | 175, 3.41%, see rank | 1.50% | 1.50% |
$200 to $299 | 330, 6.42%, see rank | 2.66% | 3.18% |
$300 to $499 | 749, 14.57%, see rank | 7.45% | 7.37% |
$500 to $699 | 1,552, 30.20%, see rank | 17.24% | 16.01% |
$700 to $999 | 1,470, 28.60%, see rank | 35.81% | 29.17% |
$1,000 to $1,499 | 674, 13.12%, see rank | 27.76% | 26.88% |
$1,500 to $1,999 | 129, 2.51%, see rank | 5.62% | 9.79% |
$2,000 or More | 60, 1.17%, see rank | 1.96% | 6.10% |
Median | $653, see rank | $874 | $920 |
ACS 2008-2012 data
Monthly Rental | 30161 Zip Code | Georgia | U.S. |
Occupied Units Paying Rent | 4,830, 100% | 1,116,630 | 37,562,111 |
$199 or Less | 113, 2.34%, see rank | 1.69% | 1.76% |
$200 to $299 | 283, 5.86%, see rank | 2.97% | 3.29% |
$300 to $499 | 680, 14.08%, see rank | 8.41% | 8.20% |
$500 to $699 | 1,535, 31.78%, see rank | 18.64% | 17.39% |
$700 to $999 | 1,417, 29.34%, see rank | 35.83% | 29.40% |
$1,000 to $1,499 | 632, 13.08%, see rank | 25.78% | 25.73% |
$1,500 to $1,999 | 105, 2.17%, see rank | 4.95% | 8.92% |
$2,000 or More | 65, 1.35%, see rank | 1.72% | 5.30% |
Median | $676, see rank | $849 | $889 |
US Census 2000 data
Monthly Rental | 30161 Zip Code | Georgia | U.S. |
Occupied Units Paying Rent | 4,133, 100% | 905,913 | 33,386,326 |
$199 or Less | 275, 6.65%, see rank | 6.44% | 5.52% |
$200 to $299 | 513, 12.41%, see rank | 6.18% | 5.45% |
$300 to $499 | 1,672, 40.45%, see rank | 22.20% | 23.18% |
$500 to $699 | 1,135, 27.46%, see rank | 26.87% | 29.57% |
$700 to $999 | 364, 8.81%, see rank | 28.51% | 24.06% |
$1,000 to $1,499 | 109, 2.64%, see rank | 8.34% | 9.15% |
$1,500 to $1,999 | 59, 1.43%, see rank | 1.07% | 2.05% |
$2,000 or More | 6, 0.15%, see rank | 0.39% | 1.02% |
Median | $456, 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.