48067 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 48067 Zip Code | Michigan | U.S. |
Occupied Units Paying Rent | 4,320, 100% | 1,028,835 | 39,201,928 |
$199 or Less | 54, 1.25%, see rank | 1.86% | 1.50% |
$200 to $299 | 125, 2.89%, see rank | 3.88% | 3.18% |
$300 to $499 | 265, 6.13%, see rank | 9.32% | 7.37% |
$500 to $699 | 489, 11.32%, see rank | 23.63% | 16.01% |
$700 to $999 | 1,106, 25.60%, see rank | 35.23% | 29.17% |
$1,000 to $1,499 | 1,492, 34.54%, see rank | 20.17% | 26.88% |
$1,500 to $1,999 | 596, 13.80%, see rank | 3.85% | 9.79% |
$2,000 or More | 193, 4.47%, see rank | 2.06% | 6.10% |
Median | $1,031, see rank | $780 | $920 |
ACS 2008-2012 data
Monthly Rental | 48067 Zip Code | Michigan | U.S. |
Occupied Units Paying Rent | 4,007, 100% | 981,443 | 37,562,111 |
$199 or Less | 51, 1.27%, see rank | 2.26% | 1.76% |
$200 to $299 | 98, 2.45%, see rank | 3.90% | 3.29% |
$300 to $499 | 326, 8.14%, see rank | 10.27% | 8.20% |
$500 to $699 | 588, 14.67%, see rank | 25.57% | 17.39% |
$700 to $999 | 1,160, 28.95%, see rank | 34.03% | 29.40% |
$1,000 to $1,499 | 1,293, 32.27%, see rank | 18.68% | 25.73% |
$1,500 to $1,999 | 356, 8.88%, see rank | 3.45% | 8.92% |
$2,000 or More | 135, 3.37%, see rank | 1.83% | 5.30% |
Median | $945, see rank | $755 | $889 |
US Census 2000 data
Monthly Rental | 48067 Zip Code | Michigan | U.S. |
Occupied Units Paying Rent | 3,631, 100% | 933,547 | 33,386,326 |
$199 or Less | 129, 3.55%, see rank | 5.77% | 5.52% |
$200 to $299 | 162, 4.46%, see rank | 5.57% | 5.45% |
$300 to $499 | 520, 14.32%, see rank | 29.55% | 23.18% |
$500 to $699 | 1,617, 44.53%, see rank | 34.68% | 29.57% |
$700 to $999 | 870, 23.96%, see rank | 18.46% | 24.06% |
$1,000 to $1,499 | 286, 7.88%, see rank | 4.59% | 9.15% |
$1,500 to $1,999 | 41, 1.13%, see rank | 0.92% | 2.05% |
$2,000 or More | 6, 0.17%, see rank | 0.46% | 1.02% |
Median | $614, 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.