44111 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 44111 Zip Code | Ohio | U.S. |
Occupied Units Paying Rent | 6,491, 100% | 1,432,383 | 39,201,928 |
$199 or Less | 93, 1.43%, see rank | 2.68% | 1.50% |
$200 to $299 | 263, 4.05%, see rank | 3.98% | 3.18% |
$300 to $499 | 820, 12.63%, see rank | 11.48% | 7.37% |
$500 to $699 | 2,166, 33.37%, see rank | 27.69% | 16.01% |
$700 to $999 | 2,122, 32.69%, see rank | 34.69% | 29.17% |
$1,000 to $1,499 | 962, 14.82%, see rank | 15.67% | 26.88% |
$1,500 to $1,999 | 65, 1.00%, see rank | 2.43% | 9.79% |
$2,000 or More | 0, 0.00%, see rank | 1.39% | 6.10% |
Median | $694, see rank | $729 | $920 |
ACS 2008-2012 data
Monthly Rental | 44111 Zip Code | Ohio | U.S. |
Occupied Units Paying Rent | 6,252, 100% | 1,378,298 | 37,562,111 |
$199 or Less | 115, 1.84%, see rank | 3.26% | 1.76% |
$200 to $299 | 246, 3.93%, see rank | 3.76% | 3.29% |
$300 to $499 | 699, 11.18%, see rank | 12.62% | 8.20% |
$500 to $699 | 2,205, 35.27%, see rank | 28.95% | 17.39% |
$700 to $999 | 2,056, 32.89%, see rank | 33.41% | 29.40% |
$1,000 to $1,499 | 892, 14.27%, see rank | 14.53% | 25.73% |
$1,500 to $1,999 | 39, 0.62%, see rank | 2.24% | 8.92% |
$2,000 or More | 0, 0.00%, see rank | 1.24% | 5.30% |
Median | $685, see rank | $710 | $889 |
US Census 2000 data
Monthly Rental | 44111 Zip Code | Ohio | U.S. |
Occupied Units Paying Rent | 5,743, 100% | 1,287,267 | 33,386,326 |
$199 or Less | 189, 3.29%, see rank | 7.15% | 5.52% |
$200 to $299 | 186, 3.24%, see rank | 6.17% | 5.45% |
$300 to $499 | 2,300, 40.05%, see rank | 33.67% | 23.18% |
$500 to $699 | 2,367, 41.22%, see rank | 33.03% | 29.57% |
$700 to $999 | 641, 11.16%, see rank | 15.75% | 24.06% |
$1,000 to $1,499 | 54, 0.94%, see rank | 3.18% | 9.15% |
$1,500 to $1,999 | 6, 0.10%, see rank | 0.65% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.40% | 1.02% |
Median | $512, 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.