45426 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 45426 Zip Code | Ohio | U.S. |
Occupied Units Paying Rent | 3,332, 100% | 1,432,383 | 39,201,928 |
$199 or Less | 125, 3.75%, see rank | 2.68% | 1.50% |
$200 to $299 | 54, 1.62%, see rank | 3.98% | 3.18% |
$300 to $499 | 349, 10.47%, see rank | 11.48% | 7.37% |
$500 to $699 | 1,223, 36.70%, see rank | 27.69% | 16.01% |
$700 to $999 | 1,065, 31.96%, see rank | 34.69% | 29.17% |
$1,000 to $1,499 | 308, 9.24%, see rank | 15.67% | 26.88% |
$1,500 to $1,999 | 94, 2.82%, see rank | 2.43% | 9.79% |
$2,000 or More | 114, 3.42%, see rank | 1.39% | 6.10% |
Median | $691, see rank | $729 | $920 |
ACS 2008-2012 data
Monthly Rental | 45426 Zip Code | Ohio | U.S. |
Occupied Units Paying Rent | 3,122, 100% | 1,378,298 | 37,562,111 |
$199 or Less | 52, 1.67%, see rank | 3.26% | 1.76% |
$200 to $299 | 25, 0.80%, see rank | 3.76% | 3.29% |
$300 to $499 | 342, 10.95%, see rank | 12.62% | 8.20% |
$500 to $699 | 1,285, 41.16%, see rank | 28.95% | 17.39% |
$700 to $999 | 987, 31.61%, see rank | 33.41% | 29.40% |
$1,000 to $1,499 | 189, 6.05%, see rank | 14.53% | 25.73% |
$1,500 to $1,999 | 128, 4.10%, see rank | 2.24% | 8.92% |
$2,000 or More | 114, 3.65%, see rank | 1.24% | 5.30% |
Median | $671, see rank | $710 | $889 |
US Census 2000 data
Monthly Rental | 45426 Zip Code | Ohio | U.S. |
Occupied Units Paying Rent | 3,159, 100% | 1,287,267 | 33,386,326 |
$199 or Less | 179, 5.67%, see rank | 7.15% | 5.52% |
$200 to $299 | 70, 2.22%, see rank | 6.17% | 5.45% |
$300 to $499 | 857, 27.13%, see rank | 33.67% | 23.18% |
$500 to $699 | 1,350, 42.74%, see rank | 33.03% | 29.57% |
$700 to $999 | 457, 14.47%, see rank | 15.75% | 24.06% |
$1,000 to $1,499 | 203, 6.43%, see rank | 3.18% | 9.15% |
$1,500 to $1,999 | 21, 0.66%, see rank | 0.65% | 2.05% |
$2,000 or More | 22, 0.70%, see rank | 0.40% | 1.02% |
Median | $548, 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.