65804 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 65804 Zip Code | Missouri | U.S. |
Occupied Units Paying Rent | 7,104, 100% | 707,222 | 39,201,928 |
$199 or Less | 51, 0.72%, see rank | 1.46% | 1.50% |
$200 to $299 | 199, 2.80%, see rank | 4.15% | 3.18% |
$300 to $499 | 1,126, 15.85%, see rank | 12.55% | 7.37% |
$500 to $699 | 2,189, 30.81%, see rank | 25.75% | 16.01% |
$700 to $999 | 2,502, 35.22%, see rank | 34.37% | 29.17% |
$1,000 to $1,499 | 940, 13.23%, see rank | 17.38% | 26.88% |
$1,500 to $1,999 | 71, 1.00%, see rank | 2.90% | 9.79% |
$2,000 or More | 26, 0.37%, see rank | 1.44% | 6.10% |
Median | $699, see rank | $740 | $920 |
ACS 2008-2012 data
Monthly Rental | 65804 Zip Code | Missouri | U.S. |
Occupied Units Paying Rent | 6,786, 100% | 681,723 | 37,562,111 |
$199 or Less | 113, 1.67%, see rank | 1.89% | 1.76% |
$200 to $299 | 150, 2.21%, see rank | 4.34% | 3.29% |
$300 to $499 | 1,410, 20.78%, see rank | 14.25% | 8.20% |
$500 to $699 | 2,444, 36.02%, see rank | 27.83% | 17.39% |
$700 to $999 | 2,003, 29.52%, see rank | 33.33% | 29.40% |
$1,000 to $1,499 | 615, 9.06%, see rank | 14.89% | 25.73% |
$1,500 to $1,999 | 40, 0.59%, see rank | 2.32% | 8.92% |
$2,000 or More | 11, 0.16%, see rank | 1.16% | 5.30% |
Median | $649, see rank | $712 | $889 |
US Census 2000 data
Monthly Rental | 65804 Zip Code | Missouri | U.S. |
Occupied Units Paying Rent | 5,854, 100% | 593,360 | 33,386,326 |
$199 or Less | 213, 3.64%, see rank | 7.02% | 5.52% |
$200 to $299 | 305, 5.21%, see rank | 9.11% | 5.45% |
$300 to $499 | 2,503, 42.76%, see rank | 37.21% | 23.18% |
$500 to $699 | 1,879, 32.10%, see rank | 29.76% | 29.57% |
$700 to $999 | 817, 13.96%, see rank | 13.36% | 24.06% |
$1,000 to $1,499 | 137, 2.34%, 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 | $493, 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.