38821 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 38821 Zip Code | Mississippi | U.S. |
Occupied Units Paying Rent | 1,020, 100% | 295,003 | 39,201,928 |
$199 or Less | 79, 7.75%, see rank | 2.92% | 1.50% |
$200 to $299 | 113, 11.08%, see rank | 5.50% | 3.18% |
$300 to $499 | 207, 20.29%, see rank | 14.14% | 7.37% |
$500 to $699 | 302, 29.61%, see rank | 25.54% | 16.01% |
$700 to $999 | 261, 25.59%, see rank | 33.80% | 29.17% |
$1,000 to $1,499 | 58, 5.69%, see rank | 15.24% | 26.88% |
$1,500 to $1,999 | 0, 0.00%, see rank | 2.09% | 9.79% |
$2,000 or More | 0, 0.00%, see rank | 0.76% | 6.10% |
Median | $578, see rank | $714 | $920 |
ACS 2008-2012 data
Monthly Rental | 38821 Zip Code | Mississippi | U.S. |
Occupied Units Paying Rent | 1,163, 100% | 280,160 | 37,562,111 |
$199 or Less | 186, 15.99%, see rank | 3.25% | 1.76% |
$200 to $299 | 147, 12.64%, see rank | 5.79% | 3.29% |
$300 to $499 | 218, 18.74%, see rank | 15.76% | 8.20% |
$500 to $699 | 393, 33.79%, see rank | 26.86% | 17.39% |
$700 to $999 | 202, 17.37%, see rank | 32.16% | 29.40% |
$1,000 to $1,499 | 17, 1.46%, see rank | 13.62% | 25.73% |
$1,500 to $1,999 | 0, 0.00%, see rank | 1.83% | 8.92% |
$2,000 or More | 0, 0.00%, see rank | 0.73% | 5.30% |
Median | $521, see rank | $688 | $889 |
US Census 2000 data
Monthly Rental | 38821 Zip Code | Mississippi | U.S. |
Occupied Units Paying Rent | 954, 100% | 249,216 | 33,386,326 |
$199 or Less | 147, 15.41%, see rank | 11.88% | 5.52% |
$200 to $299 | 200, 20.96%, see rank | 12.05% | 5.45% |
$300 to $499 | 432, 45.28%, see rank | 37.80% | 23.18% |
$500 to $699 | 134, 14.05%, see rank | 25.86% | 29.57% |
$700 to $999 | 41, 4.30%, see rank | 10.27% | 24.06% |
$1,000 to $1,499 | 0, 0.00%, see rank | 1.61% | 9.15% |
$1,500 to $1,999 | 0, 0.00%, see rank | 0.38% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.18% | 1.02% |
Median | $365, see rank | $439 | $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.