40503 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 40503 Zip Code | Kentucky | U.S. |
Occupied Units Paying Rent | 4,294, 100% | 496,536 | 39,201,928 |
$199 or Less | 17, 0.40%, see rank | 3.01% | 1.50% |
$200 to $299 | 119, 2.77%, see rank | 5.28% | 3.18% |
$300 to $499 | 165, 3.84%, see rank | 15.95% | 7.37% |
$500 to $699 | 1,256, 29.25%, see rank | 30.85% | 16.01% |
$700 to $999 | 1,422, 33.12%, see rank | 29.97% | 29.17% |
$1,000 to $1,499 | 955, 22.24%, see rank | 12.25% | 26.88% |
$1,500 to $1,999 | 234, 5.45%, see rank | 1.85% | 9.79% |
$2,000 or More | 126, 2.93%, see rank | 0.83% | 6.10% |
Median | $817, see rank | $667 | $920 |
ACS 2008-2012 data
Monthly Rental | 40503 Zip Code | Kentucky | U.S. |
Occupied Units Paying Rent | 4,288, 100% | 476,578 | 37,562,111 |
$199 or Less | 64, 1.49%, see rank | 3.70% | 1.76% |
$200 to $299 | 43, 1.00%, see rank | 5.62% | 3.29% |
$300 to $499 | 266, 6.20%, see rank | 18.37% | 8.20% |
$500 to $699 | 1,323, 30.85%, see rank | 31.48% | 17.39% |
$700 to $999 | 1,483, 34.58%, see rank | 28.08% | 29.40% |
$1,000 to $1,499 | 833, 19.43%, see rank | 10.46% | 25.73% |
$1,500 to $1,999 | 191, 4.45%, see rank | 1.53% | 8.92% |
$2,000 or More | 85, 1.98%, see rank | 0.76% | 5.30% |
Median | $767, see rank | $638 | $889 |
US Census 2000 data
Monthly Rental | 40503 Zip Code | Kentucky | U.S. |
Occupied Units Paying Rent | 3,305, 100% | 405,135 | 33,386,326 |
$199 or Less | 64, 1.94%, see rank | 10.70% | 5.52% |
$200 to $299 | 59, 1.79%, see rank | 10.30% | 5.45% |
$300 to $499 | 1,207, 36.52%, see rank | 40.80% | 23.18% |
$500 to $699 | 1,038, 31.41%, see rank | 25.90% | 29.57% |
$700 to $999 | 743, 22.48%, see rank | 9.97% | 24.06% |
$1,000 to $1,499 | 169, 5.11%, see rank | 1.81% | 9.15% |
$1,500 to $1,999 | 25, 0.76%, see rank | 0.31% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.20% | 1.02% |
Median | $564, 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.