43224 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 43224 Zip Code | Ohio | U.S. |
Occupied Units Paying Rent | 8,093, 100% | 1,432,383 | 39,201,928 |
$199 or Less | 242, 2.99%, see rank | 2.68% | 1.50% |
$200 to $299 | 226, 2.79%, see rank | 3.98% | 3.18% |
$300 to $499 | 694, 8.58%, see rank | 11.48% | 7.37% |
$500 to $699 | 3,150, 38.92%, see rank | 27.69% | 16.01% |
$700 to $999 | 2,714, 33.54%, see rank | 34.69% | 29.17% |
$1,000 to $1,499 | 991, 12.25%, see rank | 15.67% | 26.88% |
$1,500 to $1,999 | 38, 0.47%, see rank | 2.43% | 9.79% |
$2,000 or More | 38, 0.47%, see rank | 1.39% | 6.10% |
Median | $684, see rank | $729 | $920 |
ACS 2008-2012 data
Monthly Rental | 43224 Zip Code | Ohio | U.S. |
Occupied Units Paying Rent | 6,900, 100% | 1,378,298 | 37,562,111 |
$199 or Less | 213, 3.09%, see rank | 3.26% | 1.76% |
$200 to $299 | 169, 2.45%, see rank | 3.76% | 3.29% |
$300 to $499 | 615, 8.91%, see rank | 12.62% | 8.20% |
$500 to $699 | 2,352, 34.09%, see rank | 28.95% | 17.39% |
$700 to $999 | 2,670, 38.70%, see rank | 33.41% | 29.40% |
$1,000 to $1,499 | 843, 12.22%, see rank | 14.53% | 25.73% |
$1,500 to $1,999 | 38, 0.55%, see rank | 2.24% | 8.92% |
$2,000 or More | 0, 0.00%, see rank | 1.24% | 5.30% |
Median | $706, see rank | $710 | $889 |
US Census 2000 data
Monthly Rental | 43224 Zip Code | Ohio | U.S. |
Occupied Units Paying Rent | 7,713, 100% | 1,287,267 | 33,386,326 |
$199 or Less | 432, 5.60%, see rank | 7.15% | 5.52% |
$200 to $299 | 200, 2.59%, see rank | 6.17% | 5.45% |
$300 to $499 | 2,897, 37.56%, see rank | 33.67% | 23.18% |
$500 to $699 | 3,334, 43.23%, see rank | 33.03% | 29.57% |
$700 to $999 | 690, 8.95%, see rank | 15.75% | 24.06% |
$1,000 to $1,499 | 142, 1.84%, see rank | 3.18% | 9.15% |
$1,500 to $1,999 | 0, 0.00%, see rank | 0.65% | 2.05% |
$2,000 or More | 18, 0.23%, see rank | 0.40% | 1.02% |
Median | $512, 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.