45220 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 45220 Zip Code | Ohio | U.S. |
Occupied Units Paying Rent | 4,556, 100% | 1,432,383 | 39,201,928 |
$199 or Less | 43, 0.94%, see rank | 2.68% | 1.50% |
$200 to $299 | 130, 2.85%, see rank | 3.98% | 3.18% |
$300 to $499 | 504, 11.06%, see rank | 11.48% | 7.37% |
$500 to $699 | 1,894, 41.57%, see rank | 27.69% | 16.01% |
$700 to $999 | 1,415, 31.06%, see rank | 34.69% | 29.17% |
$1,000 to $1,499 | 484, 10.62%, see rank | 15.67% | 26.88% |
$1,500 to $1,999 | 49, 1.08%, see rank | 2.43% | 9.79% |
$2,000 or More | 37, 0.81%, see rank | 1.39% | 6.10% |
Median | $666, see rank | $729 | $920 |
ACS 2008-2012 data
Monthly Rental | 45220 Zip Code | Ohio | U.S. |
Occupied Units Paying Rent | 4,501, 100% | 1,378,298 | 37,562,111 |
$199 or Less | 40, 0.89%, see rank | 3.26% | 1.76% |
$200 to $299 | 194, 4.31%, see rank | 3.76% | 3.29% |
$300 to $499 | 678, 15.06%, see rank | 12.62% | 8.20% |
$500 to $699 | 1,904, 42.30%, see rank | 28.95% | 17.39% |
$700 to $999 | 1,290, 28.66%, see rank | 33.41% | 29.40% |
$1,000 to $1,499 | 298, 6.62%, see rank | 14.53% | 25.73% |
$1,500 to $1,999 | 42, 0.93%, see rank | 2.24% | 8.92% |
$2,000 or More | 55, 1.22%, see rank | 1.24% | 5.30% |
Median | $632, see rank | $710 | $889 |
US Census 2000 data
Monthly Rental | 45220 Zip Code | Ohio | U.S. |
Occupied Units Paying Rent | 5,150, 100% | 1,287,267 | 33,386,326 |
$199 or Less | 181, 3.51%, see rank | 7.15% | 5.52% |
$200 to $299 | 227, 4.41%, see rank | 6.17% | 5.45% |
$300 to $499 | 2,431, 47.20%, see rank | 33.67% | 23.18% |
$500 to $699 | 1,691, 32.83%, see rank | 33.03% | 29.57% |
$700 to $999 | 515, 10.00%, see rank | 15.75% | 24.06% |
$1,000 to $1,499 | 79, 1.53%, see rank | 3.18% | 9.15% |
$1,500 to $1,999 | 0, 0.00%, see rank | 0.65% | 2.05% |
$2,000 or More | 26, 0.50%, see rank | 0.40% | 1.02% |
Median | $481, 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.