57006 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 57006 Zip Code | South Dakota | U.S. |
Occupied Units Paying Rent | 4,231, 100% | 95,597 | 39,201,928 |
$199 or Less | 135, 3.19%, see rank | 3.76% | 1.50% |
$200 to $299 | 77, 1.82%, see rank | 5.89% | 3.18% |
$300 to $499 | 804, 19.00%, see rank | 19.38% | 7.37% |
$500 to $699 | 1,308, 30.91%, see rank | 28.86% | 16.01% |
$700 to $999 | 1,129, 26.68%, see rank | 27.81% | 29.17% |
$1,000 to $1,499 | 710, 16.78%, see rank | 11.89% | 26.88% |
$1,500 to $1,999 | 39, 0.92%, see rank | 1.55% | 9.79% |
$2,000 or More | 29, 0.69%, see rank | 0.86% | 6.10% |
Median | $668, see rank | $648 | $920 |
ACS 2008-2012 data
Monthly Rental | 57006 Zip Code | South Dakota | U.S. |
Occupied Units Paying Rent | 3,904, 100% | 91,039 | 37,562,111 |
$199 or Less | 122, 3.13%, see rank | 4.41% | 1.76% |
$200 to $299 | 82, 2.10%, see rank | 6.20% | 3.29% |
$300 to $499 | 1,001, 25.64%, see rank | 23.10% | 8.20% |
$500 to $699 | 1,083, 27.74%, see rank | 28.50% | 17.39% |
$700 to $999 | 1,019, 26.10%, see rank | 25.87% | 29.40% |
$1,000 to $1,499 | 522, 13.37%, see rank | 9.75% | 25.73% |
$1,500 to $1,999 | 25, 0.64%, see rank | 1.36% | 8.92% |
$2,000 or More | 50, 1.28%, see rank | 0.81% | 5.30% |
Median | $642, see rank | $617 | $889 |
US Census 2000 data
Monthly Rental | 57006 Zip Code | South Dakota | U.S. |
Occupied Units Paying Rent | 3,803, 100% | 79,603 | 33,386,326 |
$199 or Less | 257, 6.76%, see rank | 11.80% | 5.52% |
$200 to $299 | 780, 20.51%, see rank | 13.50% | 5.45% |
$300 to $499 | 1,850, 48.65%, see rank | 39.43% | 23.18% |
$500 to $699 | 624, 16.41%, see rank | 25.02% | 29.57% |
$700 to $999 | 229, 6.02%, see rank | 8.08% | 24.06% |
$1,000 to $1,499 | 45, 1.18%, see rank | 1.69% | 9.15% |
$1,500 to $1,999 | 18, 0.47%, see rank | 0.30% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.19% | 1.02% |
Median | $396, see rank | $426 | $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.