49504 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 49504 Zip Code | Michigan | U.S. |
Occupied Units Paying Rent | 5,968, 100% | 1,028,835 | 39,201,928 |
$199 or Less | 80, 1.34%, see rank | 1.86% | 1.50% |
$200 to $299 | 254, 4.26%, see rank | 3.88% | 3.18% |
$300 to $499 | 485, 8.13%, see rank | 9.32% | 7.37% |
$500 to $699 | 1,854, 31.07%, see rank | 23.63% | 16.01% |
$700 to $999 | 1,914, 32.07%, see rank | 35.23% | 29.17% |
$1,000 to $1,499 | 924, 15.48%, see rank | 20.17% | 26.88% |
$1,500 to $1,999 | 344, 5.76%, see rank | 3.85% | 9.79% |
$2,000 or More | 113, 1.89%, see rank | 2.06% | 6.10% |
Median | $749, see rank | $780 | $920 |
ACS 2008-2012 data
Monthly Rental | 49504 Zip Code | Michigan | U.S. |
Occupied Units Paying Rent | 5,929, 100% | 981,443 | 37,562,111 |
$199 or Less | 38, 0.64%, see rank | 2.26% | 1.76% |
$200 to $299 | 188, 3.17%, see rank | 3.90% | 3.29% |
$300 to $499 | 623, 10.51%, see rank | 10.27% | 8.20% |
$500 to $699 | 1,810, 30.53%, see rank | 25.57% | 17.39% |
$700 to $999 | 1,924, 32.45%, see rank | 34.03% | 29.40% |
$1,000 to $1,499 | 960, 16.19%, see rank | 18.68% | 25.73% |
$1,500 to $1,999 | 248, 4.18%, see rank | 3.45% | 8.92% |
$2,000 or More | 138, 2.33%, see rank | 1.83% | 5.30% |
Median | $732, see rank | $755 | $889 |
US Census 2000 data
Monthly Rental | 49504 Zip Code | Michigan | U.S. |
Occupied Units Paying Rent | 4,942, 100% | 933,547 | 33,386,326 |
$199 or Less | 139, 2.81%, see rank | 5.77% | 5.52% |
$200 to $299 | 300, 6.07%, see rank | 5.57% | 5.45% |
$300 to $499 | 2,197, 44.46%, see rank | 29.55% | 23.18% |
$500 to $699 | 1,772, 35.86%, see rank | 34.68% | 29.57% |
$700 to $999 | 424, 8.58%, see rank | 18.46% | 24.06% |
$1,000 to $1,499 | 103, 2.08%, see rank | 4.59% | 9.15% |
$1,500 to $1,999 | 7, 0.14%, see rank | 0.92% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.46% | 1.02% |
Median | $491, 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.