29388 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 29388 Zip Code | South Carolina | U.S. |
Occupied Units Paying Rent | 1,264, 100% | 508,636 | 39,201,928 |
$199 or Less | 67, 5.30%, see rank | 1.64% | 1.50% |
$200 to $299 | 118, 9.34%, see rank | 3.64% | 3.18% |
$300 to $499 | 206, 16.30%, see rank | 9.95% | 7.37% |
$500 to $699 | 269, 21.28%, see rank | 23.11% | 16.01% |
$700 to $999 | 508, 40.19%, see rank | 35.98% | 29.17% |
$1,000 to $1,499 | 96, 7.59%, see rank | 19.71% | 26.88% |
$1,500 to $1,999 | 0, 0.00%, see rank | 4.01% | 9.79% |
$2,000 or More | 0, 0.00%, see rank | 1.97% | 6.10% |
Median | $663, see rank | $784 | $920 |
ACS 2008-2012 data
Monthly Rental | 29388 Zip Code | South Carolina | U.S. |
Occupied Units Paying Rent | 1,076, 100% | 484,550 | 37,562,111 |
$199 or Less | 66, 6.13%, see rank | 1.94% | 1.76% |
$200 to $299 | 133, 12.36%, see rank | 3.69% | 3.29% |
$300 to $499 | 315, 29.28%, see rank | 11.43% | 8.20% |
$500 to $699 | 290, 26.95%, see rank | 25.61% | 17.39% |
$700 to $999 | 225, 20.91%, see rank | 35.11% | 29.40% |
$1,000 to $1,499 | 47, 4.37%, see rank | 17.39% | 25.73% |
$1,500 to $1,999 | 0, 0.00%, see rank | 3.32% | 8.92% |
$2,000 or More | 0, 0.00%, see rank | 1.51% | 5.30% |
Median | $559, see rank | $749 | $889 |
US Census 2000 data
Monthly Rental | 29388 Zip Code | South Carolina | U.S. |
Occupied Units Paying Rent | 1,007, 100% | 379,262 | 33,386,326 |
$199 or Less | 137, 13.60%, see rank | 7.25% | 5.52% |
$200 to $299 | 125, 12.41%, see rank | 8.43% | 5.45% |
$300 to $499 | 395, 39.23%, see rank | 32.35% | 23.18% |
$500 to $699 | 288, 28.60%, see rank | 31.98% | 29.57% |
$700 to $999 | 49, 4.87%, see rank | 15.40% | 24.06% |
$1,000 to $1,499 | 13, 1.29%, see rank | 3.46% | 9.15% |
$1,500 to $1,999 | 0, 0.00%, see rank | 0.77% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.36% | 1.02% |
Median | $434, see rank | $510 | $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.