44120 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 44120 Zip Code | Ohio | U.S. |
Occupied Units Paying Rent | 9,123, 100% | 1,432,383 | 39,201,928 |
$199 or Less | 184, 2.02%, see rank | 2.68% | 1.50% |
$200 to $299 | 413, 4.53%, see rank | 3.98% | 3.18% |
$300 to $499 | 839, 9.20%, see rank | 11.48% | 7.37% |
$500 to $699 | 2,881, 31.58%, see rank | 27.69% | 16.01% |
$700 to $999 | 3,484, 38.19%, see rank | 34.69% | 29.17% |
$1,000 to $1,499 | 1,148, 12.58%, see rank | 15.67% | 26.88% |
$1,500 to $1,999 | 108, 1.18%, see rank | 2.43% | 9.79% |
$2,000 or More | 66, 0.72%, see rank | 1.39% | 6.10% |
Median | $716, see rank | $729 | $920 |
ACS 2008-2012 data
Monthly Rental | 44120 Zip Code | Ohio | U.S. |
Occupied Units Paying Rent | 9,146, 100% | 1,378,298 | 37,562,111 |
$199 or Less | 181, 1.98%, see rank | 3.26% | 1.76% |
$200 to $299 | 454, 4.96%, see rank | 3.76% | 3.29% |
$300 to $499 | 860, 9.40%, see rank | 12.62% | 8.20% |
$500 to $699 | 2,915, 31.87%, see rank | 28.95% | 17.39% |
$700 to $999 | 3,351, 36.64%, see rank | 33.41% | 29.40% |
$1,000 to $1,499 | 1,177, 12.87%, see rank | 14.53% | 25.73% |
$1,500 to $1,999 | 149, 1.63%, see rank | 2.24% | 8.92% |
$2,000 or More | 59, 0.65%, see rank | 1.24% | 5.30% |
Median | $715, see rank | $710 | $889 |
US Census 2000 data
Monthly Rental | 44120 Zip Code | Ohio | U.S. |
Occupied Units Paying Rent | 10,564, 100% | 1,287,267 | 33,386,326 |
$199 or Less | 347, 3.28%, see rank | 7.15% | 5.52% |
$200 to $299 | 336, 3.18%, see rank | 6.17% | 5.45% |
$300 to $499 | 3,237, 30.64%, see rank | 33.67% | 23.18% |
$500 to $699 | 4,410, 41.75%, see rank | 33.03% | 29.57% |
$700 to $999 | 1,914, 18.12%, see rank | 15.75% | 24.06% |
$1,000 to $1,499 | 274, 2.59%, see rank | 3.18% | 9.15% |
$1,500 to $1,999 | 46, 0.44%, see rank | 0.65% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.40% | 1.02% |
Median | $553, 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.