Union Micro Area Historical Gross Rent Price Data
ACS 2008-2012 data
Monthly Rental | Union Area | South Carolina | U.S. |
Occupied Units Paying Rent | 2,819, 100% | 484,550 | 37,562,111 |
$199 or Less | 84, 2.98%, see rank | 1.94% | 1.76% |
$200 to $299 | 269, 9.54%, see rank | 3.69% | 3.29% |
$300 to $499 | 619, 21.96%, see rank | 11.43% | 8.20% |
$500 to $699 | 1,098, 38.95%, see rank | 25.61% | 17.39% |
$700 to $999 | 587, 20.82%, see rank | 35.11% | 29.40% |
$1,000 to $1,499 | 162, 5.75%, 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 | $596, see rank | $749 | $889 |
ACS 2006-2010 data
Monthly Rental | Union Area | South Carolina | U.S. |
Occupied Units Paying Rent | 2,719, 100% | 467,351 | 35,969,315 |
$199 or Less | 191, 7.02%, see rank | 2.71% | 2.25% |
$200 to $299 | 215, 7.91%, see rank | 3.83% | 3.41% |
$300 to $499 | 727, 26.74%, see rank | 14.32% | 9.80% |
$500 to $699 | 879, 32.33%, see rank | 28.96% | 19.41% |
$700 to $999 | 586, 21.55%, see rank | 32.92% | 29.88% |
$1,000 to $1,499 | 80, 2.94%, see rank | 13.81% | 23.51% |
$1,500 to $1,999 | 0, 0.00%, see rank | 2.34% | 7.56% |
$2,000 or More | 41, 1.51%, see rank | 1.11% | 4.16% |
Median | $562, see rank | $701 | $841 |
ACS 2005-2009 data
Monthly Rental | Union Area | South Carolina | U.S. |
Occupied Units Paying Rent | 2,444, 100% | 446,513 | 35,101,833 |
$199 or Less | 264, 10.80%, see rank | 3.00% | 2.52% |
$200 to $299 | 234, 9.57%, see rank | 4.12% | 3.53% |
$300 to $499 | 644, 26.35%, see rank | 15.68% | 10.66% |
$500 to $699 | 763, 31.22%, see rank | 30.38% | 20.44% |
$700 to $999 | 406, 16.61%, see rank | 31.59% | 29.94% |
$1,000 to $1,499 | 88, 3.60%, see rank | 12.25% | 22.31% |
$1,500 to $1,999 | 0, 0.00%, see rank | 2.05% | 6.90% |
$2,000 or More | 45, 1.84%, see rank | 0.93% | 3.71% |
Median | $520, see rank | $680 | $817 |
* 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.