61604 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 61604 Zip Code | Illinois | U.S. |
Occupied Units Paying Rent | 4,570, 100% | 1,513,617 | 39,201,928 |
$199 or Less | 125, 2.74%, see rank | 1.84% | 1.50% |
$200 to $299 | 272, 5.95%, see rank | 3.23% | 3.18% |
$300 to $499 | 558, 12.21%, see rank | 7.28% | 7.37% |
$500 to $699 | 1,444, 31.60%, see rank | 15.00% | 16.01% |
$700 to $999 | 1,726, 37.77%, see rank | 33.11% | 29.17% |
$1,000 to $1,499 | 290, 6.35%, see rank | 26.04% | 26.88% |
$1,500 to $1,999 | 121, 2.65%, see rank | 8.81% | 9.79% |
$2,000 or More | 34, 0.74%, see rank | 4.70% | 6.10% |
Median | $686, see rank | $903 | $920 |
ACS 2008-2012 data
Monthly Rental | 61604 Zip Code | Illinois | U.S. |
Occupied Units Paying Rent | 4,043, 100% | 1,458,685 | 37,562,111 |
$199 or Less | 182, 4.50%, see rank | 2.13% | 1.76% |
$200 to $299 | 122, 3.02%, see rank | 3.16% | 3.29% |
$300 to $499 | 731, 18.08%, see rank | 7.81% | 8.20% |
$500 to $699 | 1,236, 30.57%, see rank | 16.28% | 17.39% |
$700 to $999 | 1,332, 32.95%, see rank | 34.10% | 29.40% |
$1,000 to $1,499 | 424, 10.49%, see rank | 24.75% | 25.73% |
$1,500 to $1,999 | 16, 0.40%, see rank | 7.91% | 8.92% |
$2,000 or More | 0, 0.00%, see rank | 3.87% | 5.30% |
Median | $665, see rank | $877 | $889 |
US Census 2000 data
Monthly Rental | 61604 Zip Code | Illinois | U.S. |
Occupied Units Paying Rent | 3,973, 100% | 1,431,104 | 33,386,326 |
$199 or Less | 522, 13.14%, see rank | 5.89% | 5.52% |
$200 to $299 | 276, 6.95%, see rank | 5.07% | 5.45% |
$300 to $499 | 1,573, 39.59%, see rank | 22.08% | 23.18% |
$500 to $699 | 1,196, 30.10%, see rank | 31.13% | 29.57% |
$700 to $999 | 365, 9.19%, see rank | 24.58% | 24.06% |
$1,000 to $1,499 | 41, 1.03%, 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 | $462, 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.