39773 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 39773 Zip Code | Mississippi | U.S. |
Occupied Units Paying Rent | 1,819, 100% | 295,003 | 39,201,928 |
$199 or Less | 74, 4.07%, see rank | 2.92% | 1.50% |
$200 to $299 | 167, 9.18%, see rank | 5.50% | 3.18% |
$300 to $499 | 230, 12.64%, see rank | 14.14% | 7.37% |
$500 to $699 | 741, 40.74%, see rank | 25.54% | 16.01% |
$700 to $999 | 535, 29.41%, see rank | 33.80% | 29.17% |
$1,000 to $1,499 | 58, 3.19%, see rank | 15.24% | 26.88% |
$1,500 to $1,999 | 14, 0.77%, see rank | 2.09% | 9.79% |
$2,000 or More | 0, 0.00%, see rank | 0.76% | 6.10% |
Median | $638, see rank | $714 | $920 |
ACS 2008-2012 data
Monthly Rental | 39773 Zip Code | Mississippi | U.S. |
Occupied Units Paying Rent | 1,849, 100% | 280,160 | 37,562,111 |
$199 or Less | 46, 2.49%, see rank | 3.25% | 1.76% |
$200 to $299 | 244, 13.20%, see rank | 5.79% | 3.29% |
$300 to $499 | 327, 17.69%, see rank | 15.76% | 8.20% |
$500 to $699 | 619, 33.48%, see rank | 26.86% | 17.39% |
$700 to $999 | 564, 30.50%, see rank | 32.16% | 29.40% |
$1,000 to $1,499 | 41, 2.22%, see rank | 13.62% | 25.73% |
$1,500 to $1,999 | 8, 0.43%, see rank | 1.83% | 8.92% |
$2,000 or More | 0, 0.00%, see rank | 0.73% | 5.30% |
Median | $626, see rank | $688 | $889 |
US Census 2000 data
Monthly Rental | 39773 Zip Code | Mississippi | U.S. |
Occupied Units Paying Rent | 1,716, 100% | 249,216 | 33,386,326 |
$199 or Less | 292, 17.02%, see rank | 11.88% | 5.52% |
$200 to $299 | 315, 18.36%, see rank | 12.05% | 5.45% |
$300 to $499 | 810, 47.20%, see rank | 37.80% | 23.18% |
$500 to $699 | 260, 15.15%, see rank | 25.86% | 29.57% |
$700 to $999 | 28, 1.63%, see rank | 10.27% | 24.06% |
$1,000 to $1,499 | 11, 0.64%, 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 | $368, 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.