61108 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 61108 Zip Code | Illinois | U.S. |
Occupied Units Paying Rent | 3,587, 100% | 1,513,617 | 39,201,928 |
$199 or Less | 20, 0.56%, see rank | 1.84% | 1.50% |
$200 to $299 | 51, 1.42%, see rank | 3.23% | 3.18% |
$300 to $499 | 242, 6.75%, see rank | 7.28% | 7.37% |
$500 to $699 | 1,126, 31.39%, see rank | 15.00% | 16.01% |
$700 to $999 | 1,330, 37.08%, see rank | 33.11% | 29.17% |
$1,000 to $1,499 | 684, 19.07%, see rank | 26.04% | 26.88% |
$1,500 to $1,999 | 77, 2.15%, see rank | 8.81% | 9.79% |
$2,000 or More | 57, 1.59%, see rank | 4.70% | 6.10% |
Median | $777, see rank | $903 | $920 |
ACS 2008-2012 data
Monthly Rental | 61108 Zip Code | Illinois | U.S. |
Occupied Units Paying Rent | 3,563, 100% | 1,458,685 | 37,562,111 |
$199 or Less | 29, 0.81%, see rank | 2.13% | 1.76% |
$200 to $299 | 58, 1.63%, see rank | 3.16% | 3.29% |
$300 to $499 | 283, 7.94%, see rank | 7.81% | 8.20% |
$500 to $699 | 1,406, 39.46%, see rank | 16.28% | 17.39% |
$700 to $999 | 1,149, 32.25%, see rank | 34.10% | 29.40% |
$1,000 to $1,499 | 506, 14.20%, see rank | 24.75% | 25.73% |
$1,500 to $1,999 | 107, 3.00%, see rank | 7.91% | 8.92% |
$2,000 or More | 25, 0.70%, see rank | 3.87% | 5.30% |
Median | $701, see rank | $877 | $889 |
US Census 2000 data
Monthly Rental | 61108 Zip Code | Illinois | U.S. |
Occupied Units Paying Rent | 2,801, 100% | 1,431,104 | 33,386,326 |
$199 or Less | 83, 2.96%, see rank | 5.89% | 5.52% |
$200 to $299 | 82, 2.93%, see rank | 5.07% | 5.45% |
$300 to $499 | 839, 29.95%, see rank | 22.08% | 23.18% |
$500 to $699 | 1,153, 41.16%, see rank | 31.13% | 29.57% |
$700 to $999 | 521, 18.60%, see rank | 24.58% | 24.06% |
$1,000 to $1,499 | 94, 3.36%, see rank | 8.61% | 9.15% |
$1,500 to $1,999 | 9, 0.32%, see rank | 1.84% | 2.05% |
$2,000 or More | 20, 0.71%, see rank | 0.80% | 1.02% |
Median | $552, 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.