48906 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 48906 Zip Code | Michigan | U.S. |
Occupied Units Paying Rent | 3,439, 100% | 1,028,835 | 39,201,928 |
$199 or Less | 204, 5.93%, see rank | 1.86% | 1.50% |
$200 to $299 | 104, 3.02%, see rank | 3.88% | 3.18% |
$300 to $499 | 305, 8.87%, see rank | 9.32% | 7.37% |
$500 to $699 | 991, 28.82%, see rank | 23.63% | 16.01% |
$700 to $999 | 1,045, 30.39%, see rank | 35.23% | 29.17% |
$1,000 to $1,499 | 721, 20.97%, see rank | 20.17% | 26.88% |
$1,500 to $1,999 | 54, 1.57%, see rank | 3.85% | 9.79% |
$2,000 or More | 15, 0.44%, see rank | 2.06% | 6.10% |
Median | $740, see rank | $780 | $920 |
ACS 2008-2012 data
Monthly Rental | 48906 Zip Code | Michigan | U.S. |
Occupied Units Paying Rent | 3,336, 100% | 981,443 | 37,562,111 |
$199 or Less | 200, 6.00%, see rank | 2.26% | 1.76% |
$200 to $299 | 101, 3.03%, see rank | 3.90% | 3.29% |
$300 to $499 | 557, 16.70%, see rank | 10.27% | 8.20% |
$500 to $699 | 991, 29.71%, see rank | 25.57% | 17.39% |
$700 to $999 | 923, 27.67%, see rank | 34.03% | 29.40% |
$1,000 to $1,499 | 518, 15.53%, see rank | 18.68% | 25.73% |
$1,500 to $1,999 | 36, 1.08%, see rank | 3.45% | 8.92% |
$2,000 or More | 10, 0.30%, see rank | 1.83% | 5.30% |
Median | $656, see rank | $755 | $889 |
US Census 2000 data
Monthly Rental | 48906 Zip Code | Michigan | U.S. |
Occupied Units Paying Rent | 3,108, 100% | 933,547 | 33,386,326 |
$199 or Less | 203, 6.53%, see rank | 5.77% | 5.52% |
$200 to $299 | 170, 5.47%, see rank | 5.57% | 5.45% |
$300 to $499 | 1,327, 42.70%, see rank | 29.55% | 23.18% |
$500 to $699 | 929, 29.89%, see rank | 34.68% | 29.57% |
$700 to $999 | 424, 13.64%, see rank | 18.46% | 24.06% |
$1,000 to $1,499 | 49, 1.58%, see rank | 4.59% | 9.15% |
$1,500 to $1,999 | 6, 0.19%, see rank | 0.92% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.46% | 1.02% |
Median | $482, 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.