48234 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 48234 Zip Code | Michigan | U.S. |
Occupied Units Paying Rent | 4,612, 100% | 1,028,835 | 39,201,928 |
$199 or Less | 80, 1.73%, see rank | 1.86% | 1.50% |
$200 to $299 | 181, 3.92%, see rank | 3.88% | 3.18% |
$300 to $499 | 472, 10.23%, see rank | 9.32% | 7.37% |
$500 to $699 | 1,109, 24.05%, see rank | 23.63% | 16.01% |
$700 to $999 | 1,373, 29.77%, see rank | 35.23% | 29.17% |
$1,000 to $1,499 | 1,328, 28.79%, see rank | 20.17% | 26.88% |
$1,500 to $1,999 | 69, 1.50%, see rank | 3.85% | 9.79% |
$2,000 or More | 0, 0.00%, see rank | 2.06% | 6.10% |
Median | $812, see rank | $780 | $920 |
ACS 2008-2012 data
Monthly Rental | 48234 Zip Code | Michigan | U.S. |
Occupied Units Paying Rent | 4,565, 100% | 981,443 | 37,562,111 |
$199 or Less | 66, 1.45%, see rank | 2.26% | 1.76% |
$200 to $299 | 141, 3.09%, see rank | 3.90% | 3.29% |
$300 to $499 | 418, 9.16%, see rank | 10.27% | 8.20% |
$500 to $699 | 1,213, 26.57%, see rank | 25.57% | 17.39% |
$700 to $999 | 1,148, 25.15%, see rank | 34.03% | 29.40% |
$1,000 to $1,499 | 1,401, 30.69%, see rank | 18.68% | 25.73% |
$1,500 to $1,999 | 178, 3.90%, see rank | 3.45% | 8.92% |
$2,000 or More | 0, 0.00%, see rank | 1.83% | 5.30% |
Median | $831, see rank | $755 | $889 |
US Census 2000 data
Monthly Rental | 48234 Zip Code | Michigan | U.S. |
Occupied Units Paying Rent | 4,822, 100% | 933,547 | 33,386,326 |
$199 or Less | 232, 4.81%, see rank | 5.77% | 5.52% |
$200 to $299 | 240, 4.98%, see rank | 5.57% | 5.45% |
$300 to $499 | 1,608, 33.35%, see rank | 29.55% | 23.18% |
$500 to $699 | 1,924, 39.90%, see rank | 34.68% | 29.57% |
$700 to $999 | 732, 15.18%, see rank | 18.46% | 24.06% |
$1,000 to $1,499 | 81, 1.68%, see rank | 4.59% | 9.15% |
$1,500 to $1,999 | 0, 0.00%, see rank | 0.92% | 2.05% |
$2,000 or More | 5, 0.10%, see rank | 0.46% | 1.02% |
Median | $537, 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.