44110 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 44110 Zip Code | Ohio | U.S. |
Occupied Units Paying Rent | 5,418, 100% | 1,432,383 | 39,201,928 |
$199 or Less | 369, 6.81%, see rank | 2.68% | 1.50% |
$200 to $299 | 664, 12.26%, see rank | 3.98% | 3.18% |
$300 to $499 | 700, 12.92%, see rank | 11.48% | 7.37% |
$500 to $699 | 1,690, 31.19%, see rank | 27.69% | 16.01% |
$700 to $999 | 1,520, 28.05%, see rank | 34.69% | 29.17% |
$1,000 to $1,499 | 472, 8.71%, see rank | 15.67% | 26.88% |
$1,500 to $1,999 | 0, 0.00%, see rank | 2.43% | 9.79% |
$2,000 or More | 3, 0.06%, see rank | 1.39% | 6.10% |
Median | $615, see rank | $729 | $920 |
ACS 2008-2012 data
Monthly Rental | 44110 Zip Code | Ohio | U.S. |
Occupied Units Paying Rent | 5,260, 100% | 1,378,298 | 37,562,111 |
$199 or Less | 347, 6.60%, see rank | 3.26% | 1.76% |
$200 to $299 | 572, 10.87%, see rank | 3.76% | 3.29% |
$300 to $499 | 704, 13.38%, see rank | 12.62% | 8.20% |
$500 to $699 | 1,809, 34.39%, see rank | 28.95% | 17.39% |
$700 to $999 | 1,301, 24.73%, see rank | 33.41% | 29.40% |
$1,000 to $1,499 | 510, 9.70%, see rank | 14.53% | 25.73% |
$1,500 to $1,999 | 12, 0.23%, see rank | 2.24% | 8.92% |
$2,000 or More | 5, 0.10%, see rank | 1.24% | 5.30% |
Median | $619, see rank | $710 | $889 |
US Census 2000 data
Monthly Rental | 44110 Zip Code | Ohio | U.S. |
Occupied Units Paying Rent | 6,362, 100% | 1,287,267 | 33,386,326 |
$199 or Less | 479, 7.53%, see rank | 7.15% | 5.52% |
$200 to $299 | 577, 9.07%, see rank | 6.17% | 5.45% |
$300 to $499 | 2,591, 40.73%, see rank | 33.67% | 23.18% |
$500 to $699 | 2,191, 34.44%, see rank | 33.03% | 29.57% |
$700 to $999 | 475, 7.47%, see rank | 15.75% | 24.06% |
$1,000 to $1,499 | 13, 0.20%, see rank | 3.18% | 9.15% |
$1,500 to $1,999 | 36, 0.57%, see rank | 0.65% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.40% | 1.02% |
Median | $471, 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.