42001 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 42001 Zip Code | Kentucky | U.S. |
Occupied Units Paying Rent | 3,966, 100% | 496,536 | 39,201,928 |
$199 or Less | 95, 2.40%, see rank | 3.01% | 1.50% |
$200 to $299 | 176, 4.44%, see rank | 5.28% | 3.18% |
$300 to $499 | 592, 14.93%, see rank | 15.95% | 7.37% |
$500 to $699 | 1,505, 37.95%, see rank | 30.85% | 16.01% |
$700 to $999 | 1,195, 30.13%, see rank | 29.97% | 29.17% |
$1,000 to $1,499 | 384, 9.68%, see rank | 12.25% | 26.88% |
$1,500 to $1,999 | 19, 0.48%, see rank | 1.85% | 9.79% |
$2,000 or More | 0, 0.00%, see rank | 0.83% | 6.10% |
Median | $642, see rank | $667 | $920 |
ACS 2008-2012 data
Monthly Rental | 42001 Zip Code | Kentucky | U.S. |
Occupied Units Paying Rent | 3,709, 100% | 476,578 | 37,562,111 |
$199 or Less | 71, 1.91%, see rank | 3.70% | 1.76% |
$200 to $299 | 111, 2.99%, see rank | 5.62% | 3.29% |
$300 to $499 | 498, 13.43%, see rank | 18.37% | 8.20% |
$500 to $699 | 1,720, 46.37%, see rank | 31.48% | 17.39% |
$700 to $999 | 1,015, 27.37%, see rank | 28.08% | 29.40% |
$1,000 to $1,499 | 269, 7.25%, see rank | 10.46% | 25.73% |
$1,500 to $1,999 | 25, 0.67%, see rank | 1.53% | 8.92% |
$2,000 or More | 0, 0.00%, see rank | 0.76% | 5.30% |
Median | $622, see rank | $638 | $889 |
US Census 2000 data
Monthly Rental | 42001 Zip Code | Kentucky | U.S. |
Occupied Units Paying Rent | 3,738, 100% | 405,135 | 33,386,326 |
$199 or Less | 355, 9.50%, see rank | 10.70% | 5.52% |
$200 to $299 | 348, 9.31%, see rank | 10.30% | 5.45% |
$300 to $499 | 1,732, 46.33%, see rank | 40.80% | 23.18% |
$500 to $699 | 996, 26.65%, see rank | 25.90% | 29.57% |
$700 to $999 | 232, 6.21%, see rank | 9.97% | 24.06% |
$1,000 to $1,499 | 51, 1.36%, see rank | 1.81% | 9.15% |
$1,500 to $1,999 | 24, 0.64%, see rank | 0.31% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.20% | 1.02% |
Median | $436, 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.