45663 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
| Monthly Rental | 45663 Zip Code | Ohio | U.S. |
| Occupied Units Paying Rent | 422, 100% | 1,432,383 | 39,201,928 |
| $199 or Less | 37, 8.77%, see rank | 2.68% | 1.50% |
| $200 to $299 | 0, 0.00%, see rank | 3.98% | 3.18% |
| $300 to $499 | 118, 27.96%, see rank | 11.48% | 7.37% |
| $500 to $699 | 151, 35.78%, see rank | 27.69% | 16.01% |
| $700 to $999 | 83, 19.67%, see rank | 34.69% | 29.17% |
| $1,000 to $1,499 | 33, 7.82%, see rank | 15.67% | 26.88% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 2.43% | 9.79% |
| $2,000 or More | 0, 0.00%, see rank | 1.39% | 6.10% |
| Median | $555, see rank | $729 | $920 |
ACS 2008-2012 data
| Monthly Rental | 45663 Zip Code | Ohio | U.S. |
| Occupied Units Paying Rent | 430, 100% | 1,378,298 | 37,562,111 |
| $199 or Less | 42, 9.77%, see rank | 3.26% | 1.76% |
| $200 to $299 | 6, 1.40%, see rank | 3.76% | 3.29% |
| $300 to $499 | 157, 36.51%, see rank | 12.62% | 8.20% |
| $500 to $699 | 111, 25.81%, see rank | 28.95% | 17.39% |
| $700 to $999 | 68, 15.81%, see rank | 33.41% | 29.40% |
| $1,000 to $1,499 | 46, 10.70%, see rank | 14.53% | 25.73% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 2.24% | 8.92% |
| $2,000 or More | 0, 0.00%, see rank | 1.24% | 5.30% |
| Median | $519, see rank | $710 | $889 |
US Census 2000 data
| Monthly Rental | 45663 Zip Code | Ohio | U.S. |
| Occupied Units Paying Rent | 515, 100% | 1,287,267 | 33,386,326 |
| $199 or Less | 32, 6.21%, see rank | 7.15% | 5.52% |
| $200 to $299 | 54, 10.49%, see rank | 6.17% | 5.45% |
| $300 to $499 | 236, 45.83%, see rank | 33.67% | 23.18% |
| $500 to $699 | 171, 33.20%, see rank | 33.03% | 29.57% |
| $700 to $999 | 15, 2.91%, see rank | 15.75% | 24.06% |
| $1,000 to $1,499 | 7, 1.36%, see rank | 3.18% | 9.15% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 0.65% | 2.05% |
| $2,000 or More | 0, 0.00%, see rank | 0.40% | 1.02% |
| Median | $431, see rank | $515 | $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.
