61603 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 61603 Zip Code | Illinois | U.S. |
Occupied Units Paying Rent | 3,142, 100% | 1,513,617 | 39,201,928 |
$199 or Less | 167, 5.32%, see rank | 1.84% | 1.50% |
$200 to $299 | 45, 1.43%, see rank | 3.23% | 3.18% |
$300 to $499 | 540, 17.19%, see rank | 7.28% | 7.37% |
$500 to $699 | 885, 28.17%, see rank | 15.00% | 16.01% |
$700 to $999 | 1,009, 32.11%, see rank | 33.11% | 29.17% |
$1,000 to $1,499 | 395, 12.57%, see rank | 26.04% | 26.88% |
$1,500 to $1,999 | 92, 2.93%, see rank | 8.81% | 9.79% |
$2,000 or More | 9, 0.29%, see rank | 4.70% | 6.10% |
Median | $690, see rank | $903 | $920 |
ACS 2008-2012 data
Monthly Rental | 61603 Zip Code | Illinois | U.S. |
Occupied Units Paying Rent | 2,810, 100% | 1,458,685 | 37,562,111 |
$199 or Less | 174, 6.19%, see rank | 2.13% | 1.76% |
$200 to $299 | 37, 1.32%, see rank | 3.16% | 3.29% |
$300 to $499 | 515, 18.33%, see rank | 7.81% | 8.20% |
$500 to $699 | 782, 27.83%, see rank | 16.28% | 17.39% |
$700 to $999 | 850, 30.25%, see rank | 34.10% | 29.40% |
$1,000 to $1,499 | 388, 13.81%, see rank | 24.75% | 25.73% |
$1,500 to $1,999 | 64, 2.28%, see rank | 7.91% | 8.92% |
$2,000 or More | 0, 0.00%, see rank | 3.87% | 5.30% |
Median | $671, see rank | $877 | $889 |
US Census 2000 data
Monthly Rental | 61603 Zip Code | Illinois | U.S. |
Occupied Units Paying Rent | 2,963, 100% | 1,431,104 | 33,386,326 |
$199 or Less | 317, 10.70%, see rank | 5.89% | 5.52% |
$200 to $299 | 271, 9.15%, see rank | 5.07% | 5.45% |
$300 to $499 | 1,152, 38.88%, see rank | 22.08% | 23.18% |
$500 to $699 | 850, 28.69%, see rank | 31.13% | 29.57% |
$700 to $999 | 315, 10.63%, see rank | 24.58% | 24.06% |
$1,000 to $1,499 | 58, 1.96%, see rank | 8.61% | 9.15% |
$1,500 to $1,999 | 0, 0.00%, see rank | 1.84% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.80% | 1.02% |
Median | $460, 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.