60064 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 60064 Zip Code | Illinois | U.S. |
Occupied Units Paying Rent | 2,465, 100% | 1,513,617 | 39,201,928 |
$199 or Less | 127, 5.15%, see rank | 1.84% | 1.50% |
$200 to $299 | 128, 5.19%, see rank | 3.23% | 3.18% |
$300 to $499 | 216, 8.76%, see rank | 7.28% | 7.37% |
$500 to $699 | 342, 13.87%, see rank | 15.00% | 16.01% |
$700 to $999 | 857, 34.77%, see rank | 33.11% | 29.17% |
$1,000 to $1,499 | 648, 26.29%, see rank | 26.04% | 26.88% |
$1,500 to $1,999 | 136, 5.52%, see rank | 8.81% | 9.79% |
$2,000 or More | 11, 0.45%, see rank | 4.70% | 6.10% |
Median | $846, see rank | $903 | $920 |
ACS 2008-2012 data
Monthly Rental | 60064 Zip Code | Illinois | U.S. |
Occupied Units Paying Rent | 2,591, 100% | 1,458,685 | 37,562,111 |
$199 or Less | 117, 4.52%, see rank | 2.13% | 1.76% |
$200 to $299 | 147, 5.67%, see rank | 3.16% | 3.29% |
$300 to $499 | 193, 7.45%, see rank | 7.81% | 8.20% |
$500 to $699 | 439, 16.94%, see rank | 16.28% | 17.39% |
$700 to $999 | 863, 33.31%, see rank | 34.10% | 29.40% |
$1,000 to $1,499 | 658, 25.40%, see rank | 24.75% | 25.73% |
$1,500 to $1,999 | 154, 5.94%, see rank | 7.91% | 8.92% |
$2,000 or More | 20, 0.77%, see rank | 3.87% | 5.30% |
Median | $817, see rank | $877 | $889 |
US Census 2000 data
Monthly Rental | 60064 Zip Code | Illinois | U.S. |
Occupied Units Paying Rent | 2,451, 100% | 1,431,104 | 33,386,326 |
$199 or Less | 226, 9.22%, see rank | 5.89% | 5.52% |
$200 to $299 | 146, 5.96%, see rank | 5.07% | 5.45% |
$300 to $499 | 568, 23.17%, see rank | 22.08% | 23.18% |
$500 to $699 | 773, 31.54%, see rank | 31.13% | 29.57% |
$700 to $999 | 583, 23.79%, see rank | 24.58% | 24.06% |
$1,000 to $1,499 | 149, 6.08%, see rank | 8.61% | 9.15% |
$1,500 to $1,999 | 6, 0.24%, see rank | 1.84% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.80% | 1.02% |
Median | $578, 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.