61265 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 61265 Zip Code | Illinois | U.S. |
Occupied Units Paying Rent | 5,965, 100% | 1,513,617 | 39,201,928 |
$199 or Less | 57, 0.96%, see rank | 1.84% | 1.50% |
$200 to $299 | 224, 3.76%, see rank | 3.23% | 3.18% |
$300 to $499 | 897, 15.04%, see rank | 7.28% | 7.37% |
$500 to $699 | 1,920, 32.19%, see rank | 15.00% | 16.01% |
$700 to $999 | 2,053, 34.42%, see rank | 33.11% | 29.17% |
$1,000 to $1,499 | 690, 11.57%, see rank | 26.04% | 26.88% |
$1,500 to $1,999 | 91, 1.53%, see rank | 8.81% | 9.79% |
$2,000 or More | 33, 0.55%, see rank | 4.70% | 6.10% |
Median | $690, see rank | $903 | $920 |
ACS 2008-2012 data
Monthly Rental | 61265 Zip Code | Illinois | U.S. |
Occupied Units Paying Rent | 5,429, 100% | 1,458,685 | 37,562,111 |
$199 or Less | 114, 2.10%, see rank | 2.13% | 1.76% |
$200 to $299 | 132, 2.43%, see rank | 3.16% | 3.29% |
$300 to $499 | 903, 16.63%, see rank | 7.81% | 8.20% |
$500 to $699 | 1,778, 32.75%, see rank | 16.28% | 17.39% |
$700 to $999 | 1,755, 32.33%, see rank | 34.10% | 29.40% |
$1,000 to $1,499 | 645, 11.88%, see rank | 24.75% | 25.73% |
$1,500 to $1,999 | 61, 1.12%, see rank | 7.91% | 8.92% |
$2,000 or More | 41, 0.76%, see rank | 3.87% | 5.30% |
Median | $675, see rank | $877 | $889 |
US Census 2000 data
Monthly Rental | 61265 Zip Code | Illinois | U.S. |
Occupied Units Paying Rent | 6,095, 100% | 1,431,104 | 33,386,326 |
$199 or Less | 484, 7.94%, see rank | 5.89% | 5.52% |
$200 to $299 | 625, 10.25%, see rank | 5.07% | 5.45% |
$300 to $499 | 2,311, 37.92%, see rank | 22.08% | 23.18% |
$500 to $699 | 2,171, 35.62%, see rank | 31.13% | 29.57% |
$700 to $999 | 453, 7.43%, see rank | 24.58% | 24.06% |
$1,000 to $1,499 | 43, 0.71%, see rank | 8.61% | 9.15% |
$1,500 to $1,999 | 8, 0.13%, see rank | 1.84% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.80% | 1.02% |
Median | $474, see rank | $605 | $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.