39567 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 39567 Zip Code | Mississippi | U.S. |
Occupied Units Paying Rent | 1,614, 100% | 295,003 | 39,201,928 |
$199 or Less | 57, 3.53%, see rank | 2.92% | 1.50% |
$200 to $299 | 52, 3.22%, see rank | 5.50% | 3.18% |
$300 to $499 | 165, 10.22%, see rank | 14.14% | 7.37% |
$500 to $699 | 433, 26.83%, see rank | 25.54% | 16.01% |
$700 to $999 | 690, 42.75%, see rank | 33.80% | 29.17% |
$1,000 to $1,499 | 213, 13.20%, see rank | 15.24% | 26.88% |
$1,500 to $1,999 | 4, 0.25%, see rank | 2.09% | 9.79% |
$2,000 or More | 0, 0.00%, see rank | 0.76% | 6.10% |
Median | $720, see rank | $714 | $920 |
ACS 2008-2012 data
Monthly Rental | 39567 Zip Code | Mississippi | U.S. |
Occupied Units Paying Rent | 1,328, 100% | 280,160 | 37,562,111 |
$199 or Less | 24, 1.81%, see rank | 3.25% | 1.76% |
$200 to $299 | 25, 1.88%, see rank | 5.79% | 3.29% |
$300 to $499 | 118, 8.89%, see rank | 15.76% | 8.20% |
$500 to $699 | 517, 38.93%, see rank | 26.86% | 17.39% |
$700 to $999 | 429, 32.30%, see rank | 32.16% | 29.40% |
$1,000 to $1,499 | 209, 15.74%, see rank | 13.62% | 25.73% |
$1,500 to $1,999 | 6, 0.45%, see rank | 1.83% | 8.92% |
$2,000 or More | 0, 0.00%, see rank | 0.73% | 5.30% |
Median | $696, see rank | $688 | $889 |
US Census 2000 data
Monthly Rental | 39567 Zip Code | Mississippi | U.S. |
Occupied Units Paying Rent | 2,005, 100% | 249,216 | 33,386,326 |
$199 or Less | 261, 13.02%, see rank | 11.88% | 5.52% |
$200 to $299 | 145, 7.23%, see rank | 12.05% | 5.45% |
$300 to $499 | 743, 37.06%, see rank | 37.80% | 23.18% |
$500 to $699 | 636, 31.72%, see rank | 25.86% | 29.57% |
$700 to $999 | 164, 8.18%, see rank | 10.27% | 24.06% |
$1,000 to $1,499 | 31, 1.55%, see rank | 1.61% | 9.15% |
$1,500 to $1,999 | 25, 1.25%, see rank | 0.38% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.18% | 1.02% |
Median | $463, 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.