63129 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 63129 Zip Code | Missouri | U.S. |
Occupied Units Paying Rent | 4,440, 100% | 707,222 | 39,201,928 |
$199 or Less | 0, 0.00%, see rank | 1.46% | 1.50% |
$200 to $299 | 10, 0.23%, see rank | 4.15% | 3.18% |
$300 to $499 | 246, 5.54%, see rank | 12.55% | 7.37% |
$500 to $699 | 1,284, 28.92%, see rank | 25.75% | 16.01% |
$700 to $999 | 2,075, 46.73%, see rank | 34.37% | 29.17% |
$1,000 to $1,499 | 560, 12.61%, see rank | 17.38% | 26.88% |
$1,500 to $1,999 | 83, 1.87%, see rank | 2.90% | 9.79% |
$2,000 or More | 182, 4.10%, see rank | 1.44% | 6.10% |
Median | $791, see rank | $740 | $920 |
ACS 2008-2012 data
Monthly Rental | 63129 Zip Code | Missouri | U.S. |
Occupied Units Paying Rent | 4,283, 100% | 681,723 | 37,562,111 |
$199 or Less | 0, 0.00%, see rank | 1.89% | 1.76% |
$200 to $299 | 8, 0.19%, see rank | 4.34% | 3.29% |
$300 to $499 | 263, 6.14%, see rank | 14.25% | 8.20% |
$500 to $699 | 1,189, 27.76%, see rank | 27.83% | 17.39% |
$700 to $999 | 2,152, 50.25%, see rank | 33.33% | 29.40% |
$1,000 to $1,499 | 426, 9.95%, see rank | 14.89% | 25.73% |
$1,500 to $1,999 | 103, 2.40%, see rank | 2.32% | 8.92% |
$2,000 or More | 142, 3.32%, see rank | 1.16% | 5.30% |
Median | $792, see rank | $712 | $889 |
US Census 2000 data
Monthly Rental | 63129 Zip Code | Missouri | U.S. |
Occupied Units Paying Rent | 4,025, 100% | 593,360 | 33,386,326 |
$199 or Less | 16, 0.40%, see rank | 7.02% | 5.52% |
$200 to $299 | 0, 0.00%, see rank | 9.11% | 5.45% |
$300 to $499 | 1,058, 26.29%, see rank | 37.21% | 23.18% |
$500 to $699 | 1,835, 45.59%, see rank | 29.76% | 29.57% |
$700 to $999 | 880, 21.86%, see rank | 13.36% | 24.06% |
$1,000 to $1,499 | 86, 2.14%, see rank | 2.70% | 9.15% |
$1,500 to $1,999 | 122, 3.03%, see rank | 0.55% | 2.05% |
$2,000 or More | 28, 0.70%, see rank | 0.30% | 1.02% |
Median | $594, see rank | $484 | $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.