63139 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 63139 Zip Code | Missouri | U.S. |
Occupied Units Paying Rent | 4,757, 100% | 707,222 | 39,201,928 |
$199 or Less | 47, 0.99%, see rank | 1.46% | 1.50% |
$200 to $299 | 42, 0.88%, see rank | 4.15% | 3.18% |
$300 to $499 | 325, 6.83%, see rank | 12.55% | 7.37% |
$500 to $699 | 1,505, 31.64%, see rank | 25.75% | 16.01% |
$700 to $999 | 1,989, 41.81%, see rank | 34.37% | 29.17% |
$1,000 to $1,499 | 662, 13.92%, see rank | 17.38% | 26.88% |
$1,500 to $1,999 | 138, 2.90%, see rank | 2.90% | 9.79% |
$2,000 or More | 49, 1.03%, see rank | 1.44% | 6.10% |
Median | $742, see rank | $740 | $920 |
ACS 2008-2012 data
Monthly Rental | 63139 Zip Code | Missouri | U.S. |
Occupied Units Paying Rent | 4,513, 100% | 681,723 | 37,562,111 |
$199 or Less | 38, 0.84%, see rank | 1.89% | 1.76% |
$200 to $299 | 53, 1.17%, see rank | 4.34% | 3.29% |
$300 to $499 | 365, 8.09%, see rank | 14.25% | 8.20% |
$500 to $699 | 1,448, 32.09%, see rank | 27.83% | 17.39% |
$700 to $999 | 1,982, 43.92%, see rank | 33.33% | 29.40% |
$1,000 to $1,499 | 546, 12.10%, see rank | 14.89% | 25.73% |
$1,500 to $1,999 | 63, 1.40%, see rank | 2.32% | 8.92% |
$2,000 or More | 18, 0.40%, see rank | 1.16% | 5.30% |
Median | $729, see rank | $712 | $889 |
US Census 2000 data
Monthly Rental | 63139 Zip Code | Missouri | U.S. |
Occupied Units Paying Rent | 4,426, 100% | 593,360 | 33,386,326 |
$199 or Less | 60, 1.36%, see rank | 7.02% | 5.52% |
$200 to $299 | 255, 5.76%, see rank | 9.11% | 5.45% |
$300 to $499 | 2,344, 52.96%, see rank | 37.21% | 23.18% |
$500 to $699 | 1,502, 33.94%, see rank | 29.76% | 29.57% |
$700 to $999 | 201, 4.54%, see rank | 13.36% | 24.06% |
$1,000 to $1,499 | 64, 1.45%, see rank | 2.70% | 9.15% |
$1,500 to $1,999 | 0, 0.00%, see rank | 0.55% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.30% | 1.02% |
Median | $470, 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.