44851 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
| Monthly Rental | 44851 Zip Code | Ohio | U.S. |
| Occupied Units Paying Rent | 407, 100% | 1,432,383 | 39,201,928 |
| $199 or Less | 11, 2.70%, see rank | 2.68% | 1.50% |
| $200 to $299 | 24, 5.90%, see rank | 3.98% | 3.18% |
| $300 to $499 | 81, 19.90%, see rank | 11.48% | 7.37% |
| $500 to $699 | 108, 26.54%, see rank | 27.69% | 16.01% |
| $700 to $999 | 128, 31.45%, see rank | 34.69% | 29.17% |
| $1,000 to $1,499 | 53, 13.02%, see rank | 15.67% | 26.88% |
| $1,500 to $1,999 | 2, 0.49%, see rank | 2.43% | 9.79% |
| $2,000 or More | 0, 0.00%, see rank | 1.39% | 6.10% |
| Median | $683, see rank | $729 | $920 |
ACS 2008-2012 data
| Monthly Rental | 44851 Zip Code | Ohio | U.S. |
| Occupied Units Paying Rent | 484, 100% | 1,378,298 | 37,562,111 |
| $199 or Less | 8, 1.65%, see rank | 3.26% | 1.76% |
| $200 to $299 | 31, 6.40%, see rank | 3.76% | 3.29% |
| $300 to $499 | 125, 25.83%, see rank | 12.62% | 8.20% |
| $500 to $699 | 115, 23.76%, see rank | 28.95% | 17.39% |
| $700 to $999 | 135, 27.89%, see rank | 33.41% | 29.40% |
| $1,000 to $1,499 | 70, 14.46%, 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 | $667, see rank | $710 | $889 |
US Census 2000 data
| Monthly Rental | 44851 Zip Code | Ohio | U.S. |
| Occupied Units Paying Rent | 388, 100% | 1,287,267 | 33,386,326 |
| $199 or Less | 31, 7.99%, see rank | 7.15% | 5.52% |
| $200 to $299 | 54, 13.92%, see rank | 6.17% | 5.45% |
| $300 to $499 | 169, 43.56%, see rank | 33.67% | 23.18% |
| $500 to $699 | 99, 25.52%, see rank | 33.03% | 29.57% |
| $700 to $999 | 31, 7.99%, 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 | 4, 1.03%, see rank | 0.40% | 1.02% |
| Median | $399, 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.
