45406 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 45406 Zip Code | Ohio | U.S. |
Occupied Units Paying Rent | 4,089, 100% | 1,432,383 | 39,201,928 |
$199 or Less | 227, 5.55%, see rank | 2.68% | 1.50% |
$200 to $299 | 214, 5.23%, see rank | 3.98% | 3.18% |
$300 to $499 | 891, 21.79%, see rank | 11.48% | 7.37% |
$500 to $699 | 1,131, 27.66%, see rank | 27.69% | 16.01% |
$700 to $999 | 1,144, 27.98%, see rank | 34.69% | 29.17% |
$1,000 to $1,499 | 457, 11.18%, see rank | 15.67% | 26.88% |
$1,500 to $1,999 | 25, 0.61%, see rank | 2.43% | 9.79% |
$2,000 or More | 0, 0.00%, see rank | 1.39% | 6.10% |
Median | $612, see rank | $729 | $920 |
ACS 2008-2012 data
Monthly Rental | 45406 Zip Code | Ohio | U.S. |
Occupied Units Paying Rent | 4,251, 100% | 1,378,298 | 37,562,111 |
$199 or Less | 275, 6.47%, see rank | 3.26% | 1.76% |
$200 to $299 | 134, 3.15%, see rank | 3.76% | 3.29% |
$300 to $499 | 759, 17.85%, see rank | 12.62% | 8.20% |
$500 to $699 | 1,333, 31.36%, see rank | 28.95% | 17.39% |
$700 to $999 | 1,216, 28.61%, see rank | 33.41% | 29.40% |
$1,000 to $1,499 | 474, 11.15%, see rank | 14.53% | 25.73% |
$1,500 to $1,999 | 60, 1.41%, see rank | 2.24% | 8.92% |
$2,000 or More | 0, 0.00%, see rank | 1.24% | 5.30% |
Median | $604, see rank | $710 | $889 |
US Census 2000 data
Monthly Rental | 45406 Zip Code | Ohio | U.S. |
Occupied Units Paying Rent | 4,767, 100% | 1,287,267 | 33,386,326 |
$199 or Less | 439, 9.21%, see rank | 7.15% | 5.52% |
$200 to $299 | 426, 8.94%, see rank | 6.17% | 5.45% |
$300 to $499 | 2,015, 42.27%, see rank | 33.67% | 23.18% |
$500 to $699 | 1,376, 28.87%, see rank | 33.03% | 29.57% |
$700 to $999 | 431, 9.04%, see rank | 15.75% | 24.06% |
$1,000 to $1,499 | 55, 1.15%, see rank | 3.18% | 9.15% |
$1,500 to $1,999 | 14, 0.29%, see rank | 0.65% | 2.05% |
$2,000 or More | 11, 0.23%, see rank | 0.40% | 1.02% |
Median | $444, 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.