80224 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 80224 Zip Code | Colorado | U.S. |
Occupied Units Paying Rent | 3,745, 100% | 677,385 | 39,201,928 |
$199 or Less | 73, 1.95%, see rank | 1.26% | 1.50% |
$200 to $299 | 61, 1.63%, see rank | 2.44% | 3.18% |
$300 to $499 | 39, 1.04%, see rank | 4.51% | 7.37% |
$500 to $699 | 575, 15.35%, see rank | 14.12% | 16.01% |
$700 to $999 | 1,870, 49.93%, see rank | 30.75% | 29.17% |
$1,000 to $1,499 | 676, 18.05%, see rank | 31.25% | 26.88% |
$1,500 to $1,999 | 312, 8.33%, see rank | 11.27% | 9.79% |
$2,000 or More | 139, 3.71%, see rank | 4.39% | 6.10% |
Median | $884, see rank | $969 | $920 |
ACS 2008-2012 data
Monthly Rental | 80224 Zip Code | Colorado | U.S. |
Occupied Units Paying Rent | 3,319, 100% | 644,013 | 37,562,111 |
$199 or Less | 70, 2.11%, see rank | 1.44% | 1.76% |
$200 to $299 | 45, 1.36%, see rank | 2.48% | 3.29% |
$300 to $499 | 77, 2.32%, see rank | 5.35% | 8.20% |
$500 to $699 | 832, 25.07%, see rank | 16.85% | 17.39% |
$700 to $999 | 1,258, 37.90%, see rank | 32.29% | 29.40% |
$1,000 to $1,499 | 693, 20.88%, see rank | 28.89% | 25.73% |
$1,500 to $1,999 | 197, 5.94%, see rank | 9.21% | 8.92% |
$2,000 or More | 147, 4.43%, see rank | 3.49% | 5.30% |
Median | $825, see rank | $915 | $889 |
US Census 2000 data
Monthly Rental | 80224 Zip Code | Colorado | U.S. |
Occupied Units Paying Rent | 3,496, 100% | 514,301 | 33,386,326 |
$199 or Less | 97, 2.77%, see rank | 4.34% | 5.52% |
$200 to $299 | 80, 2.29%, see rank | 3.09% | 5.45% |
$300 to $499 | 182, 5.21%, see rank | 16.94% | 23.18% |
$500 to $699 | 1,189, 34.01%, see rank | 29.88% | 29.57% |
$700 to $999 | 1,289, 36.87%, see rank | 28.77% | 24.06% |
$1,000 to $1,499 | 465, 13.30%, see rank | 13.74% | 9.15% |
$1,500 to $1,999 | 186, 5.32%, see rank | 2.46% | 2.05% |
$2,000 or More | 8, 0.23%, see rank | 0.77% | 1.02% |
Median | $721, see rank | $671 | $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.