48224 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 48224 Zip Code | Michigan | U.S. |
Occupied Units Paying Rent | 5,588, 100% | 1,028,835 | 39,201,928 |
$199 or Less | 55, 0.98%, see rank | 1.86% | 1.50% |
$200 to $299 | 19, 0.34%, see rank | 3.88% | 3.18% |
$300 to $499 | 266, 4.76%, see rank | 9.32% | 7.37% |
$500 to $699 | 999, 17.88%, see rank | 23.63% | 16.01% |
$700 to $999 | 2,131, 38.14%, see rank | 35.23% | 29.17% |
$1,000 to $1,499 | 1,943, 34.77%, see rank | 20.17% | 26.88% |
$1,500 to $1,999 | 129, 2.31%, see rank | 3.85% | 9.79% |
$2,000 or More | 46, 0.82%, see rank | 2.06% | 6.10% |
Median | $906, see rank | $780 | $920 |
ACS 2008-2012 data
Monthly Rental | 48224 Zip Code | Michigan | U.S. |
Occupied Units Paying Rent | 5,489, 100% | 981,443 | 37,562,111 |
$199 or Less | 49, 0.89%, see rank | 2.26% | 1.76% |
$200 to $299 | 21, 0.38%, see rank | 3.90% | 3.29% |
$300 to $499 | 183, 3.33%, see rank | 10.27% | 8.20% |
$500 to $699 | 1,173, 21.37%, see rank | 25.57% | 17.39% |
$700 to $999 | 2,012, 36.66%, see rank | 34.03% | 29.40% |
$1,000 to $1,499 | 1,846, 33.63%, see rank | 18.68% | 25.73% |
$1,500 to $1,999 | 127, 2.31%, see rank | 3.45% | 8.92% |
$2,000 or More | 78, 1.42%, see rank | 1.83% | 5.30% |
Median | $888, see rank | $755 | $889 |
US Census 2000 data
Monthly Rental | 48224 Zip Code | Michigan | U.S. |
Occupied Units Paying Rent | 5,036, 100% | 933,547 | 33,386,326 |
$199 or Less | 64, 1.27%, see rank | 5.77% | 5.52% |
$200 to $299 | 77, 1.53%, see rank | 5.57% | 5.45% |
$300 to $499 | 1,619, 32.15%, see rank | 29.55% | 23.18% |
$500 to $699 | 2,028, 40.27%, see rank | 34.68% | 29.57% |
$700 to $999 | 1,086, 21.56%, see rank | 18.46% | 24.06% |
$1,000 to $1,499 | 162, 3.22%, see rank | 4.59% | 9.15% |
$1,500 to $1,999 | 0, 0.00%, see rank | 0.92% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.46% | 1.02% |
Median | $559, see rank | $546 | $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.