30033 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 30033 Zip Code | Georgia | U.S. |
Occupied Units Paying Rent | 5,604, 100% | 1,190,014 | 39,201,928 |
$199 or Less | 74, 1.32%, see rank | 1.50% | 1.50% |
$200 to $299 | 17, 0.30%, see rank | 2.66% | 3.18% |
$300 to $499 | 12, 0.21%, see rank | 7.45% | 7.37% |
$500 to $699 | 160, 2.86%, see rank | 17.24% | 16.01% |
$700 to $999 | 2,308, 41.18%, see rank | 35.81% | 29.17% |
$1,000 to $1,499 | 2,435, 43.45%, see rank | 27.76% | 26.88% |
$1,500 to $1,999 | 519, 9.26%, see rank | 5.62% | 9.79% |
$2,000 or More | 79, 1.41%, see rank | 1.96% | 6.10% |
Median | $1,034, see rank | $874 | $920 |
ACS 2008-2012 data
Monthly Rental | 30033 Zip Code | Georgia | U.S. |
Occupied Units Paying Rent | 5,538, 100% | 1,116,630 | 37,562,111 |
$199 or Less | 52, 0.94%, see rank | 1.69% | 1.76% |
$200 to $299 | 27, 0.49%, see rank | 2.97% | 3.29% |
$300 to $499 | 57, 1.03%, see rank | 8.41% | 8.20% |
$500 to $699 | 221, 3.99%, see rank | 18.64% | 17.39% |
$700 to $999 | 1,952, 35.25%, see rank | 35.83% | 29.40% |
$1,000 to $1,499 | 2,653, 47.91%, see rank | 25.78% | 25.73% |
$1,500 to $1,999 | 400, 7.22%, see rank | 4.95% | 8.92% |
$2,000 or More | 176, 3.18%, see rank | 1.72% | 5.30% |
Median | $1,062, see rank | $849 | $889 |
US Census 2000 data
Monthly Rental | 30033 Zip Code | Georgia | U.S. |
Occupied Units Paying Rent | 4,927, 100% | 905,913 | 33,386,326 |
$199 or Less | 9, 0.18%, see rank | 6.44% | 5.52% |
$200 to $299 | 15, 0.30%, see rank | 6.18% | 5.45% |
$300 to $499 | 131, 2.66%, see rank | 22.20% | 23.18% |
$500 to $699 | 605, 12.28%, see rank | 26.87% | 29.57% |
$700 to $999 | 2,848, 57.80%, see rank | 28.51% | 24.06% |
$1,000 to $1,499 | 1,265, 25.67%, see rank | 8.34% | 9.15% |
$1,500 to $1,999 | 29, 0.59%, see rank | 1.07% | 2.05% |
$2,000 or More | 25, 0.51%, see rank | 0.39% | 1.02% |
Median | $867, 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.