48811 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
| Monthly Rental | 48811 Zip Code | Michigan | U.S. |
| Occupied Units Paying Rent | 249, 100% | 1,028,835 | 39,201,928 |
| $199 or Less | 14, 5.62%, see rank | 1.86% | 1.50% |
| $200 to $299 | 18, 7.23%, see rank | 3.88% | 3.18% |
| $300 to $499 | 72, 28.92%, see rank | 9.32% | 7.37% |
| $500 to $699 | 52, 20.88%, see rank | 23.63% | 16.01% |
| $700 to $999 | 71, 28.51%, see rank | 35.23% | 29.17% |
| $1,000 to $1,499 | 22, 8.84%, see rank | 20.17% | 26.88% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 3.85% | 9.79% |
| $2,000 or More | 0, 0.00%, see rank | 2.06% | 6.10% |
| Median | $535, see rank | $780 | $920 |
ACS 2008-2012 data
| Monthly Rental | 48811 Zip Code | Michigan | U.S. |
| Occupied Units Paying Rent | 242, 100% | 981,443 | 37,562,111 |
| $199 or Less | 11, 4.55%, see rank | 2.26% | 1.76% |
| $200 to $299 | 14, 5.79%, see rank | 3.90% | 3.29% |
| $300 to $499 | 54, 22.31%, see rank | 10.27% | 8.20% |
| $500 to $699 | 57, 23.55%, see rank | 25.57% | 17.39% |
| $700 to $999 | 67, 27.69%, see rank | 34.03% | 29.40% |
| $1,000 to $1,499 | 39, 16.12%, see rank | 18.68% | 25.73% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 3.45% | 8.92% |
| $2,000 or More | 0, 0.00%, see rank | 1.83% | 5.30% |
| Median | $550, see rank | $755 | $889 |
US Census 2000 data
| Monthly Rental | 48811 Zip Code | Michigan | U.S. |
| Occupied Units Paying Rent | 219, 100% | 933,547 | 33,386,326 |
| $199 or Less | 35, 15.98%, see rank | 5.77% | 5.52% |
| $200 to $299 | 25, 11.42%, see rank | 5.57% | 5.45% |
| $300 to $499 | 96, 43.84%, see rank | 29.55% | 23.18% |
| $500 to $699 | 54, 24.66%, see rank | 34.68% | 29.57% |
| $700 to $999 | 4, 1.83%, see rank | 18.46% | 24.06% |
| $1,000 to $1,499 | 2, 0.91%, see rank | 4.59% | 9.15% |
| $1,500 to $1,999 | 3, 1.37%, see rank | 0.92% | 2.05% |
| $2,000 or More | 0, 0.00%, see rank | 0.46% | 1.02% |
| Median | $389, 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.
