40509 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 40509 Zip Code | Kentucky | U.S. |
Occupied Units Paying Rent | 5,366, 100% | 496,536 | 39,201,928 |
$199 or Less | 97, 1.81%, see rank | 3.01% | 1.50% |
$200 to $299 | 76, 1.42%, see rank | 5.28% | 3.18% |
$300 to $499 | 197, 3.67%, see rank | 15.95% | 7.37% |
$500 to $699 | 779, 14.52%, see rank | 30.85% | 16.01% |
$700 to $999 | 2,068, 38.54%, see rank | 29.97% | 29.17% |
$1,000 to $1,499 | 1,631, 30.40%, see rank | 12.25% | 26.88% |
$1,500 to $1,999 | 337, 6.28%, see rank | 1.85% | 9.79% |
$2,000 or More | 181, 3.37%, see rank | 0.83% | 6.10% |
Median | $898, see rank | $667 | $920 |
ACS 2008-2012 data
Monthly Rental | 40509 Zip Code | Kentucky | U.S. |
Occupied Units Paying Rent | 5,411, 100% | 476,578 | 37,562,111 |
$199 or Less | 93, 1.72%, see rank | 3.70% | 1.76% |
$200 to $299 | 211, 3.90%, see rank | 5.62% | 3.29% |
$300 to $499 | 144, 2.66%, see rank | 18.37% | 8.20% |
$500 to $699 | 885, 16.36%, see rank | 31.48% | 17.39% |
$700 to $999 | 1,854, 34.26%, see rank | 28.08% | 29.40% |
$1,000 to $1,499 | 1,598, 29.53%, see rank | 10.46% | 25.73% |
$1,500 to $1,999 | 384, 7.10%, see rank | 1.53% | 8.92% |
$2,000 or More | 242, 4.47%, see rank | 0.76% | 5.30% |
Median | $923, see rank | $638 | $889 |
US Census 2000 data
Monthly Rental | 40509 Zip Code | Kentucky | U.S. |
Occupied Units Paying Rent | 3,492, 100% | 405,135 | 33,386,326 |
$199 or Less | 139, 3.98%, see rank | 10.70% | 5.52% |
$200 to $299 | 50, 1.43%, see rank | 10.30% | 5.45% |
$300 to $499 | 580, 16.61%, see rank | 40.80% | 23.18% |
$500 to $699 | 1,651, 47.28%, see rank | 25.90% | 29.57% |
$700 to $999 | 719, 20.59%, see rank | 9.97% | 24.06% |
$1,000 to $1,499 | 157, 4.50%, see rank | 1.81% | 9.15% |
$1,500 to $1,999 | 107, 3.06%, see rank | 0.31% | 2.05% |
$2,000 or More | 89, 2.55%, see rank | 0.20% | 1.02% |
Median | $610, 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.