57501 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 57501 Zip Code | South Dakota | U.S. |
Occupied Units Paying Rent | 2,339, 100% | 95,597 | 39,201,928 |
$199 or Less | 110, 4.70%, see rank | 3.76% | 1.50% |
$200 to $299 | 180, 7.70%, see rank | 5.89% | 3.18% |
$300 to $499 | 629, 26.89%, see rank | 19.38% | 7.37% |
$500 to $699 | 722, 30.87%, see rank | 28.86% | 16.01% |
$700 to $999 | 229, 9.79%, see rank | 27.81% | 29.17% |
$1,000 to $1,499 | 382, 16.33%, see rank | 11.89% | 26.88% |
$1,500 to $1,999 | 61, 2.61%, see rank | 1.55% | 9.79% |
$2,000 or More | 26, 1.11%, see rank | 0.86% | 6.10% |
Median | $584, see rank | $648 | $920 |
ACS 2008-2012 data
Monthly Rental | 57501 Zip Code | South Dakota | U.S. |
Occupied Units Paying Rent | 1,889, 100% | 91,039 | 37,562,111 |
$199 or Less | 96, 5.08%, see rank | 4.41% | 1.76% |
$200 to $299 | 223, 11.81%, see rank | 6.20% | 3.29% |
$300 to $499 | 533, 28.22%, see rank | 23.10% | 8.20% |
$500 to $699 | 493, 26.10%, see rank | 28.50% | 17.39% |
$700 to $999 | 270, 14.29%, see rank | 25.87% | 29.40% |
$1,000 to $1,499 | 194, 10.27%, see rank | 9.75% | 25.73% |
$1,500 to $1,999 | 53, 2.81%, see rank | 1.36% | 8.92% |
$2,000 or More | 27, 1.43%, see rank | 0.81% | 5.30% |
Median | $529, see rank | $617 | $889 |
US Census 2000 data
Monthly Rental | 57501 Zip Code | South Dakota | U.S. |
Occupied Units Paying Rent | 2,023, 100% | 79,603 | 33,386,326 |
$199 or Less | 171, 8.45%, see rank | 11.80% | 5.52% |
$200 to $299 | 287, 14.19%, see rank | 13.50% | 5.45% |
$300 to $499 | 1,047, 51.75%, see rank | 39.43% | 23.18% |
$500 to $699 | 363, 17.94%, see rank | 25.02% | 29.57% |
$700 to $999 | 142, 7.02%, see rank | 8.08% | 24.06% |
$1,000 to $1,499 | 13, 0.64%, see rank | 1.69% | 9.15% |
$1,500 to $1,999 | 0, 0.00%, see rank | 0.30% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.19% | 1.02% |
Median | $405, 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.