44003 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
| Monthly Rental | 44003 Zip Code | Ohio | U.S. |
| Occupied Units Paying Rent | 432, 100% | 1,432,383 | 39,201,928 |
| $199 or Less | 9, 2.08%, see rank | 2.68% | 1.50% |
| $200 to $299 | 10, 2.31%, see rank | 3.98% | 3.18% |
| $300 to $499 | 206, 47.69%, see rank | 11.48% | 7.37% |
| $500 to $699 | 131, 30.32%, see rank | 27.69% | 16.01% |
| $700 to $999 | 52, 12.04%, see rank | 34.69% | 29.17% |
| $1,000 to $1,499 | 24, 5.56%, 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 | $491, see rank | $729 | $920 |
ACS 2008-2012 data
| Monthly Rental | 44003 Zip Code | Ohio | U.S. |
| Occupied Units Paying Rent | 403, 100% | 1,378,298 | 37,562,111 |
| $199 or Less | 19, 4.71%, see rank | 3.26% | 1.76% |
| $200 to $299 | 31, 7.69%, see rank | 3.76% | 3.29% |
| $300 to $499 | 127, 31.51%, see rank | 12.62% | 8.20% |
| $500 to $699 | 170, 42.18%, see rank | 28.95% | 17.39% |
| $700 to $999 | 41, 10.17%, see rank | 33.41% | 29.40% |
| $1,000 to $1,499 | 15, 3.72%, 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 | $514, see rank | $710 | $889 |
US Census 2000 data
| Monthly Rental | 44003 Zip Code | Ohio | U.S. |
| Occupied Units Paying Rent | 300, 100% | 1,287,267 | 33,386,326 |
| $199 or Less | 20, 6.67%, see rank | 7.15% | 5.52% |
| $200 to $299 | 37, 12.33%, see rank | 6.17% | 5.45% |
| $300 to $499 | 152, 50.67%, see rank | 33.67% | 23.18% |
| $500 to $699 | 75, 25.00%, see rank | 33.03% | 29.57% |
| $700 to $999 | 16, 5.33%, see rank | 15.75% | 24.06% |
| $1,000 to $1,499 | 0, 0.00%, 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 | $429, 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.
