29605 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 29605 Zip Code | South Carolina | U.S. |
Occupied Units Paying Rent | 4,903, 100% | 508,636 | 39,201,928 |
$199 or Less | 192, 3.92%, see rank | 1.64% | 1.50% |
$200 to $299 | 239, 4.87%, see rank | 3.64% | 3.18% |
$300 to $499 | 592, 12.07%, see rank | 9.95% | 7.37% |
$500 to $699 | 1,084, 22.11%, see rank | 23.11% | 16.01% |
$700 to $999 | 1,812, 36.96%, see rank | 35.98% | 29.17% |
$1,000 to $1,499 | 717, 14.62%, see rank | 19.71% | 26.88% |
$1,500 to $1,999 | 176, 3.59%, see rank | 4.01% | 9.79% |
$2,000 or More | 91, 1.86%, see rank | 1.97% | 6.10% |
Median | $742, see rank | $784 | $920 |
ACS 2008-2012 data
Monthly Rental | 29605 Zip Code | South Carolina | U.S. |
Occupied Units Paying Rent | 4,471, 100% | 484,550 | 37,562,111 |
$199 or Less | 183, 4.09%, see rank | 1.94% | 1.76% |
$200 to $299 | 256, 5.73%, see rank | 3.69% | 3.29% |
$300 to $499 | 617, 13.80%, see rank | 11.43% | 8.20% |
$500 to $699 | 1,172, 26.21%, see rank | 25.61% | 17.39% |
$700 to $999 | 1,575, 35.23%, see rank | 35.11% | 29.40% |
$1,000 to $1,499 | 546, 12.21%, see rank | 17.39% | 25.73% |
$1,500 to $1,999 | 41, 0.92%, see rank | 3.32% | 8.92% |
$2,000 or More | 81, 1.81%, see rank | 1.51% | 5.30% |
Median | $702, see rank | $749 | $889 |
US Census 2000 data
Monthly Rental | 29605 Zip Code | South Carolina | U.S. |
Occupied Units Paying Rent | 4,133, 100% | 379,262 | 33,386,326 |
$199 or Less | 419, 10.14%, see rank | 7.25% | 5.52% |
$200 to $299 | 363, 8.78%, see rank | 8.43% | 5.45% |
$300 to $499 | 1,511, 36.56%, see rank | 32.35% | 23.18% |
$500 to $699 | 1,032, 24.97%, see rank | 31.98% | 29.57% |
$700 to $999 | 550, 13.31%, see rank | 15.40% | 24.06% |
$1,000 to $1,499 | 201, 4.86%, see rank | 3.46% | 9.15% |
$1,500 to $1,999 | 38, 0.92%, see rank | 0.77% | 2.05% |
$2,000 or More | 19, 0.46%, see rank | 0.36% | 1.02% |
Median | $477, 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.