60714 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 60714 Zip Code | Illinois | U.S. |
Occupied Units Paying Rent | 2,622, 100% | 1,513,617 | 39,201,928 |
$199 or Less | 38, 1.45%, see rank | 1.84% | 1.50% |
$200 to $299 | 15, 0.57%, see rank | 3.23% | 3.18% |
$300 to $499 | 98, 3.74%, see rank | 7.28% | 7.37% |
$500 to $699 | 59, 2.25%, see rank | 15.00% | 16.01% |
$700 to $999 | 1,122, 42.79%, see rank | 33.11% | 29.17% |
$1,000 to $1,499 | 847, 32.30%, see rank | 26.04% | 26.88% |
$1,500 to $1,999 | 284, 10.83%, see rank | 8.81% | 9.79% |
$2,000 or More | 159, 6.06%, see rank | 4.70% | 6.10% |
Median | $996, see rank | $903 | $920 |
ACS 2008-2012 data
Monthly Rental | 60714 Zip Code | Illinois | U.S. |
Occupied Units Paying Rent | 2,522, 100% | 1,458,685 | 37,562,111 |
$199 or Less | 40, 1.59%, see rank | 2.13% | 1.76% |
$200 to $299 | 0, 0.00%, see rank | 3.16% | 3.29% |
$300 to $499 | 99, 3.93%, see rank | 7.81% | 8.20% |
$500 to $699 | 28, 1.11%, see rank | 16.28% | 17.39% |
$700 to $999 | 1,130, 44.81%, see rank | 34.10% | 29.40% |
$1,000 to $1,499 | 786, 31.17%, see rank | 24.75% | 25.73% |
$1,500 to $1,999 | 228, 9.04%, see rank | 7.91% | 8.92% |
$2,000 or More | 211, 8.37%, see rank | 3.87% | 5.30% |
Median | $992, see rank | $877 | $889 |
US Census 2000 data
Monthly Rental | 60714 Zip Code | Illinois | U.S. |
Occupied Units Paying Rent | 2,826, 100% | 1,431,104 | 33,386,326 |
$199 or Less | 76, 2.69%, see rank | 5.89% | 5.52% |
$200 to $299 | 69, 2.44%, see rank | 5.07% | 5.45% |
$300 to $499 | 40, 1.42%, see rank | 22.08% | 23.18% |
$500 to $699 | 901, 31.88%, see rank | 31.13% | 29.57% |
$700 to $999 | 1,046, 37.01%, see rank | 24.58% | 24.06% |
$1,000 to $1,499 | 290, 10.26%, see rank | 8.61% | 9.15% |
$1,500 to $1,999 | 162, 5.73%, see rank | 1.84% | 2.05% |
$2,000 or More | 242, 8.56%, see rank | 0.80% | 1.02% |
Median | $744, 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.