60645 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 60645 Zip Code | Illinois | U.S. |
Occupied Units Paying Rent | 7,630, 100% | 1,513,617 | 39,201,928 |
$199 or Less | 147, 1.93%, see rank | 1.84% | 1.50% |
$200 to $299 | 113, 1.48%, see rank | 3.23% | 3.18% |
$300 to $499 | 42, 0.55%, see rank | 7.28% | 7.37% |
$500 to $699 | 352, 4.61%, see rank | 15.00% | 16.01% |
$700 to $999 | 3,231, 42.35%, see rank | 33.11% | 29.17% |
$1,000 to $1,499 | 3,098, 40.60%, see rank | 26.04% | 26.88% |
$1,500 to $1,999 | 574, 7.52%, see rank | 8.81% | 9.79% |
$2,000 or More | 73, 0.96%, see rank | 4.70% | 6.10% |
Median | $994, see rank | $903 | $920 |
ACS 2008-2012 data
Monthly Rental | 60645 Zip Code | Illinois | U.S. |
Occupied Units Paying Rent | 7,100, 100% | 1,458,685 | 37,562,111 |
$199 or Less | 107, 1.51%, see rank | 2.13% | 1.76% |
$200 to $299 | 77, 1.08%, see rank | 3.16% | 3.29% |
$300 to $499 | 139, 1.96%, see rank | 7.81% | 8.20% |
$500 to $699 | 309, 4.35%, see rank | 16.28% | 17.39% |
$700 to $999 | 3,134, 44.14%, see rank | 34.10% | 29.40% |
$1,000 to $1,499 | 2,708, 38.14%, see rank | 24.75% | 25.73% |
$1,500 to $1,999 | 554, 7.80%, see rank | 7.91% | 8.92% |
$2,000 or More | 72, 1.01%, see rank | 3.87% | 5.30% |
Median | $985, see rank | $877 | $889 |
US Census 2000 data
Monthly Rental | 60645 Zip Code | Illinois | U.S. |
Occupied Units Paying Rent | 7,894, 100% | 1,431,104 | 33,386,326 |
$199 or Less | 188, 2.38%, see rank | 5.89% | 5.52% |
$200 to $299 | 139, 1.76%, see rank | 5.07% | 5.45% |
$300 to $499 | 588, 7.45%, see rank | 22.08% | 23.18% |
$500 to $699 | 3,529, 44.70%, see rank | 31.13% | 29.57% |
$700 to $999 | 2,783, 35.25%, see rank | 24.58% | 24.06% |
$1,000 to $1,499 | 504, 6.38%, see rank | 8.61% | 9.15% |
$1,500 to $1,999 | 134, 1.70%, see rank | 1.84% | 2.05% |
$2,000 or More | 29, 0.37%, see rank | 0.80% | 1.02% |
Median | $675, 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.