41746 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
| Monthly Rental | 41746 Zip Code | Kentucky | U.S. |
| Occupied Units Paying Rent | 38, 100% | 496,536 | 39,201,928 |
| $199 or Less | 0, 0.00%, see rank | 3.01% | 1.50% |
| $200 to $299 | 5, 13.16%, see rank | 5.28% | 3.18% |
| $300 to $499 | 0, 0.00%, see rank | 15.95% | 7.37% |
| $500 to $699 | 33, 86.84%, see rank | 30.85% | 16.01% |
| $700 to $999 | 0, 0.00%, see rank | 29.97% | 29.17% |
| $1,000 to $1,499 | 0, 0.00%, see rank | 12.25% | 26.88% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 1.85% | 9.79% |
| $2,000 or More | 0, 0.00%, see rank | 0.83% | 6.10% |
| Median | $567, see rank | $667 | $920 |
ACS 2008-2012 data
| Monthly Rental | 41746 Zip Code | Kentucky | U.S. |
| Occupied Units Paying Rent | 51, 100% | 476,578 | 37,562,111 |
| $199 or Less | 0, 0.00%, see rank | 3.70% | 1.76% |
| $200 to $299 | 6, 11.76%, see rank | 5.62% | 3.29% |
| $300 to $499 | 0, 0.00%, see rank | 18.37% | 8.20% |
| $500 to $699 | 45, 88.24%, see rank | 31.48% | 17.39% |
| $700 to $999 | 0, 0.00%, see rank | 28.08% | 29.40% |
| $1,000 to $1,499 | 0, 0.00%, see rank | 10.46% | 25.73% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 1.53% | 8.92% |
| $2,000 or More | 0, 0.00%, see rank | 0.76% | 5.30% |
| Median | $522, see rank | $638 | $889 |
US Census 2000 data
| Monthly Rental | 41746 Zip Code | Kentucky | U.S. |
| Occupied Units Paying Rent | 0, 100% | 405,135 | 33,386,326 |
| $199 or Less | 0, 0.00%, see rank | 10.70% | 5.52% |
| $200 to $299 | 0, 0.00%, see rank | 10.30% | 5.45% |
| $300 to $499 | 0, 0.00%, see rank | 40.80% | 23.18% |
| $500 to $699 | 0, 0.00%, see rank | 25.90% | 29.57% |
| $700 to $999 | 0, 0.00%, see rank | 9.97% | 24.06% |
| $1,000 to $1,499 | 0, 0.00%, 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 | $0, 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.
