45324 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 45324 Zip Code | Ohio | U.S. |
Occupied Units Paying Rent | 7,864, 100% | 1,432,383 | 39,201,928 |
$199 or Less | 216, 2.75%, see rank | 2.68% | 1.50% |
$200 to $299 | 120, 1.53%, see rank | 3.98% | 3.18% |
$300 to $499 | 490, 6.23%, see rank | 11.48% | 7.37% |
$500 to $699 | 2,249, 28.60%, see rank | 27.69% | 16.01% |
$700 to $999 | 3,397, 43.20%, see rank | 34.69% | 29.17% |
$1,000 to $1,499 | 1,100, 13.99%, see rank | 15.67% | 26.88% |
$1,500 to $1,999 | 223, 2.84%, see rank | 2.43% | 9.79% |
$2,000 or More | 69, 0.88%, see rank | 1.39% | 6.10% |
Median | $790, see rank | $729 | $920 |
ACS 2008-2012 data
Monthly Rental | 45324 Zip Code | Ohio | U.S. |
Occupied Units Paying Rent | 7,753, 100% | 1,378,298 | 37,562,111 |
$199 or Less | 229, 2.95%, see rank | 3.26% | 1.76% |
$200 to $299 | 227, 2.93%, see rank | 3.76% | 3.29% |
$300 to $499 | 570, 7.35%, see rank | 12.62% | 8.20% |
$500 to $699 | 2,156, 27.81%, see rank | 28.95% | 17.39% |
$700 to $999 | 3,178, 40.99%, see rank | 33.41% | 29.40% |
$1,000 to $1,499 | 1,080, 13.93%, see rank | 14.53% | 25.73% |
$1,500 to $1,999 | 210, 2.71%, see rank | 2.24% | 8.92% |
$2,000 or More | 103, 1.33%, see rank | 1.24% | 5.30% |
Median | $771, see rank | $710 | $889 |
US Census 2000 data
Monthly Rental | 45324 Zip Code | Ohio | U.S. |
Occupied Units Paying Rent | 7,196, 100% | 1,287,267 | 33,386,326 |
$199 or Less | 342, 4.75%, see rank | 7.15% | 5.52% |
$200 to $299 | 256, 3.56%, see rank | 6.17% | 5.45% |
$300 to $499 | 1,814, 25.21%, see rank | 33.67% | 23.18% |
$500 to $699 | 2,902, 40.33%, see rank | 33.03% | 29.57% |
$700 to $999 | 1,645, 22.86%, see rank | 15.75% | 24.06% |
$1,000 to $1,499 | 190, 2.64%, see rank | 3.18% | 9.15% |
$1,500 to $1,999 | 38, 0.53%, see rank | 0.65% | 2.05% |
$2,000 or More | 9, 0.13%, see rank | 0.40% | 1.02% |
Median | $567, 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.