44256 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 44256 Zip Code | Ohio | U.S. |
Occupied Units Paying Rent | 4,739, 100% | 1,432,383 | 39,201,928 |
$199 or Less | 10, 0.21%, see rank | 2.68% | 1.50% |
$200 to $299 | 86, 1.81%, see rank | 3.98% | 3.18% |
$300 to $499 | 271, 5.72%, see rank | 11.48% | 7.37% |
$500 to $699 | 906, 19.12%, see rank | 27.69% | 16.01% |
$700 to $999 | 2,031, 42.86%, see rank | 34.69% | 29.17% |
$1,000 to $1,499 | 1,107, 23.36%, see rank | 15.67% | 26.88% |
$1,500 to $1,999 | 201, 4.24%, see rank | 2.43% | 9.79% |
$2,000 or More | 127, 2.68%, see rank | 1.39% | 6.10% |
Median | $873, see rank | $729 | $920 |
ACS 2008-2012 data
Monthly Rental | 44256 Zip Code | Ohio | U.S. |
Occupied Units Paying Rent | 4,493, 100% | 1,378,298 | 37,562,111 |
$199 or Less | 68, 1.51%, see rank | 3.26% | 1.76% |
$200 to $299 | 92, 2.05%, see rank | 3.76% | 3.29% |
$300 to $499 | 328, 7.30%, see rank | 12.62% | 8.20% |
$500 to $699 | 825, 18.36%, see rank | 28.95% | 17.39% |
$700 to $999 | 2,117, 47.12%, see rank | 33.41% | 29.40% |
$1,000 to $1,499 | 749, 16.67%, see rank | 14.53% | 25.73% |
$1,500 to $1,999 | 116, 2.58%, see rank | 2.24% | 8.92% |
$2,000 or More | 198, 4.41%, see rank | 1.24% | 5.30% |
Median | $834, see rank | $710 | $889 |
US Census 2000 data
Monthly Rental | 44256 Zip Code | Ohio | U.S. |
Occupied Units Paying Rent | 3,757, 100% | 1,287,267 | 33,386,326 |
$199 or Less | 178, 4.74%, see rank | 7.15% | 5.52% |
$200 to $299 | 143, 3.81%, see rank | 6.17% | 5.45% |
$300 to $499 | 504, 13.41%, see rank | 33.67% | 23.18% |
$500 to $699 | 1,417, 37.72%, see rank | 33.03% | 29.57% |
$700 to $999 | 1,294, 34.44%, see rank | 15.75% | 24.06% |
$1,000 to $1,499 | 137, 3.65%, see rank | 3.18% | 9.15% |
$1,500 to $1,999 | 50, 1.33%, see rank | 0.65% | 2.05% |
$2,000 or More | 34, 0.90%, see rank | 0.40% | 1.02% |
Median | $659, 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.