45224 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 45224 Zip Code | Ohio | U.S. |
Occupied Units Paying Rent | 3,479, 100% | 1,432,383 | 39,201,928 |
$199 or Less | 61, 1.75%, see rank | 2.68% | 1.50% |
$200 to $299 | 228, 6.55%, see rank | 3.98% | 3.18% |
$300 to $499 | 532, 15.29%, see rank | 11.48% | 7.37% |
$500 to $699 | 1,145, 32.91%, see rank | 27.69% | 16.01% |
$700 to $999 | 807, 23.20%, see rank | 34.69% | 29.17% |
$1,000 to $1,499 | 497, 14.29%, see rank | 15.67% | 26.88% |
$1,500 to $1,999 | 16, 0.46%, see rank | 2.43% | 9.79% |
$2,000 or More | 193, 5.55%, see rank | 1.39% | 6.10% |
Median | $654, see rank | $729 | $920 |
ACS 2008-2012 data
Monthly Rental | 45224 Zip Code | Ohio | U.S. |
Occupied Units Paying Rent | 3,429, 100% | 1,378,298 | 37,562,111 |
$199 or Less | 52, 1.52%, see rank | 3.26% | 1.76% |
$200 to $299 | 78, 2.27%, see rank | 3.76% | 3.29% |
$300 to $499 | 569, 16.59%, see rank | 12.62% | 8.20% |
$500 to $699 | 1,046, 30.50%, see rank | 28.95% | 17.39% |
$700 to $999 | 926, 27.00%, see rank | 33.41% | 29.40% |
$1,000 to $1,499 | 521, 15.19%, see rank | 14.53% | 25.73% |
$1,500 to $1,999 | 71, 2.07%, see rank | 2.24% | 8.92% |
$2,000 or More | 166, 4.84%, see rank | 1.24% | 5.30% |
Median | $691, see rank | $710 | $889 |
US Census 2000 data
Monthly Rental | 45224 Zip Code | Ohio | U.S. |
Occupied Units Paying Rent | 3,111, 100% | 1,287,267 | 33,386,326 |
$199 or Less | 160, 5.14%, see rank | 7.15% | 5.52% |
$200 to $299 | 145, 4.66%, see rank | 6.17% | 5.45% |
$300 to $499 | 1,455, 46.77%, see rank | 33.67% | 23.18% |
$500 to $699 | 713, 22.92%, see rank | 33.03% | 29.57% |
$700 to $999 | 372, 11.96%, see rank | 15.75% | 24.06% |
$1,000 to $1,499 | 148, 4.76%, see rank | 3.18% | 9.15% |
$1,500 to $1,999 | 59, 1.90%, see rank | 0.65% | 2.05% |
$2,000 or More | 59, 1.90%, see rank | 0.40% | 1.02% |
Median | $475, 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.