Doe Valley, KY Historical Gross Rent Price Data
ACS 2010-2014 data
| Monthly Rental | Doe Valley, KY | Kentucky | U.S. |
| Occupied Units Paying Rent | 25, 100% | 496,536 | 39,201,928 |
| $199 or Less | 0, 0.00%, see rank | 3.01% | 1.50% |
| $200 to $299 | 0, 0.00%, see rank | 5.28% | 3.18% |
| $300 to $499 | 0, 0.00%, see rank | 15.95% | 7.37% |
| $500 to $699 | 0, 0.00%, see rank | 30.85% | 16.01% |
| $700 to $999 | 15, 60.00%, 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 | 10, 40.00%, see rank | 0.83% | 6.10% |
| Median | $0, see rank | $667 | $920 |
ACS 2008-2012 data
| Monthly Rental | Doe Valley, KY | Kentucky | U.S. |
| Occupied Units Paying Rent | 0, 100% | 476,578 | 37,562,111 |
| $199 or Less | 0, 0.00%, see rank | 3.70% | 1.76% |
| $200 to $299 | 0, 0.00%, see rank | 5.62% | 3.29% |
| $300 to $499 | 0, 0.00%, see rank | 18.37% | 8.20% |
| $500 to $699 | 0, 0.00%, 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 | $0, see rank | $638 | $889 |
ACS 2006-2010 data
| Monthly Rental | Doe Valley, KY | Kentucky | U.S. |
| Occupied Units Paying Rent | 0, 100% | 452,748 | 35,969,315 |
| $199 or Less | 0, 0.00%, see rank | 4.92% | 2.25% |
| $200 to $299 | 0, 0.00%, see rank | 5.94% | 3.41% |
| $300 to $499 | 0, 0.00%, see rank | 22.09% | 9.80% |
| $500 to $699 | 0, 0.00%, see rank | 32.29% | 19.41% |
| $700 to $999 | 0, 0.00%, see rank | 25.01% | 29.88% |
| $1,000 to $1,499 | 0, 0.00%, see rank | 8.04% | 23.51% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 1.17% | 7.56% |
| $2,000 or More | 0, 0.00%, see rank | 0.54% | 4.16% |
| Median | $0, see rank | $601 | $841 |
* 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.
