42003 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 42003 Zip Code | Kentucky | U.S. |
Occupied Units Paying Rent | 3,985, 100% | 496,536 | 39,201,928 |
$199 or Less | 124, 3.11%, see rank | 3.01% | 1.50% |
$200 to $299 | 556, 13.95%, see rank | 5.28% | 3.18% |
$300 to $499 | 900, 22.58%, see rank | 15.95% | 7.37% |
$500 to $699 | 1,238, 31.07%, see rank | 30.85% | 16.01% |
$700 to $999 | 809, 20.30%, see rank | 29.97% | 29.17% |
$1,000 to $1,499 | 349, 8.76%, see rank | 12.25% | 26.88% |
$1,500 to $1,999 | 9, 0.23%, see rank | 1.85% | 9.79% |
$2,000 or More | 0, 0.00%, see rank | 0.83% | 6.10% |
Median | $566, see rank | $667 | $920 |
ACS 2008-2012 data
Monthly Rental | 42003 Zip Code | Kentucky | U.S. |
Occupied Units Paying Rent | 4,014, 100% | 476,578 | 37,562,111 |
$199 or Less | 208, 5.18%, see rank | 3.70% | 1.76% |
$200 to $299 | 544, 13.55%, see rank | 5.62% | 3.29% |
$300 to $499 | 1,058, 26.36%, see rank | 18.37% | 8.20% |
$500 to $699 | 1,265, 31.51%, see rank | 31.48% | 17.39% |
$700 to $999 | 723, 18.01%, see rank | 28.08% | 29.40% |
$1,000 to $1,499 | 135, 3.36%, see rank | 10.46% | 25.73% |
$1,500 to $1,999 | 64, 1.59%, see rank | 1.53% | 8.92% |
$2,000 or More | 17, 0.42%, see rank | 0.76% | 5.30% |
Median | $529, see rank | $638 | $889 |
US Census 2000 data
Monthly Rental | 42003 Zip Code | Kentucky | U.S. |
Occupied Units Paying Rent | 3,919, 100% | 405,135 | 33,386,326 |
$199 or Less | 646, 16.48%, see rank | 10.70% | 5.52% |
$200 to $299 | 526, 13.42%, see rank | 10.30% | 5.45% |
$300 to $499 | 1,759, 44.88%, see rank | 40.80% | 23.18% |
$500 to $699 | 775, 19.78%, see rank | 25.90% | 29.57% |
$700 to $999 | 178, 4.54%, see rank | 9.97% | 24.06% |
$1,000 to $1,499 | 35, 0.89%, 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 | $392, 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.