40206 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 40206 Zip Code | Kentucky | U.S. |
Occupied Units Paying Rent | 4,570, 100% | 496,536 | 39,201,928 |
$199 or Less | 39, 0.85%, see rank | 3.01% | 1.50% |
$200 to $299 | 143, 3.13%, see rank | 5.28% | 3.18% |
$300 to $499 | 430, 9.41%, see rank | 15.95% | 7.37% |
$500 to $699 | 1,778, 38.91%, see rank | 30.85% | 16.01% |
$700 to $999 | 1,609, 35.21%, see rank | 29.97% | 29.17% |
$1,000 to $1,499 | 457, 10.00%, see rank | 12.25% | 26.88% |
$1,500 to $1,999 | 69, 1.51%, see rank | 1.85% | 9.79% |
$2,000 or More | 45, 0.98%, see rank | 0.83% | 6.10% |
Median | $688, see rank | $667 | $920 |
ACS 2008-2012 data
Monthly Rental | 40206 Zip Code | Kentucky | U.S. |
Occupied Units Paying Rent | 4,162, 100% | 476,578 | 37,562,111 |
$199 or Less | 18, 0.43%, see rank | 3.70% | 1.76% |
$200 to $299 | 85, 2.04%, see rank | 5.62% | 3.29% |
$300 to $499 | 584, 14.03%, see rank | 18.37% | 8.20% |
$500 to $699 | 1,635, 39.28%, see rank | 31.48% | 17.39% |
$700 to $999 | 1,365, 32.80%, see rank | 28.08% | 29.40% |
$1,000 to $1,499 | 441, 10.60%, see rank | 10.46% | 25.73% |
$1,500 to $1,999 | 20, 0.48%, see rank | 1.53% | 8.92% |
$2,000 or More | 14, 0.34%, see rank | 0.76% | 5.30% |
Median | $670, see rank | $638 | $889 |
US Census 2000 data
Monthly Rental | 40206 Zip Code | Kentucky | U.S. |
Occupied Units Paying Rent | 4,491, 100% | 405,135 | 33,386,326 |
$199 or Less | 51, 1.14%, see rank | 10.70% | 5.52% |
$200 to $299 | 208, 4.63%, see rank | 10.30% | 5.45% |
$300 to $499 | 2,142, 47.70%, see rank | 40.80% | 23.18% |
$500 to $699 | 1,469, 32.71%, see rank | 25.90% | 29.57% |
$700 to $999 | 557, 12.40%, see rank | 9.97% | 24.06% |
$1,000 to $1,499 | 64, 1.43%, see rank | 1.81% | 9.15% |
$1,500 to $1,999 | 0, 0.00%, see rank | 0.31% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.20% | 1.02% |
Median | $487, see rank | $445 | $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.