57564 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
| Monthly Rental | 57564 Zip Code | South Dakota | U.S. |
| Occupied Units Paying Rent | 74, 100% | 95,597 | 39,201,928 |
| $199 or Less | 0, 0.00%, see rank | 3.76% | 1.50% |
| $200 to $299 | 0, 0.00%, see rank | 5.89% | 3.18% |
| $300 to $499 | 33, 44.59%, see rank | 19.38% | 7.37% |
| $500 to $699 | 16, 21.62%, see rank | 28.86% | 16.01% |
| $700 to $999 | 25, 33.78%, see rank | 27.81% | 29.17% |
| $1,000 to $1,499 | 0, 0.00%, see rank | 11.89% | 26.88% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 1.55% | 9.79% |
| $2,000 or More | 0, 0.00%, see rank | 0.86% | 6.10% |
| Median | $540, see rank | $648 | $920 |
ACS 2008-2012 data
| Monthly Rental | 57564 Zip Code | South Dakota | U.S. |
| Occupied Units Paying Rent | 71, 100% | 91,039 | 37,562,111 |
| $199 or Less | 0, 0.00%, see rank | 4.41% | 1.76% |
| $200 to $299 | 2, 2.82%, see rank | 6.20% | 3.29% |
| $300 to $499 | 32, 45.07%, see rank | 23.10% | 8.20% |
| $500 to $699 | 24, 33.80%, see rank | 28.50% | 17.39% |
| $700 to $999 | 13, 18.31%, see rank | 25.87% | 29.40% |
| $1,000 to $1,499 | 0, 0.00%, see rank | 9.75% | 25.73% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 1.36% | 8.92% |
| $2,000 or More | 0, 0.00%, see rank | 0.81% | 5.30% |
| Median | $607, see rank | $617 | $889 |
US Census 2000 data
| Monthly Rental | 57564 Zip Code | South Dakota | U.S. |
| Occupied Units Paying Rent | 74, 100% | 79,603 | 33,386,326 |
| $199 or Less | 20, 27.03%, see rank | 11.80% | 5.52% |
| $200 to $299 | 10, 13.51%, see rank | 13.50% | 5.45% |
| $300 to $499 | 42, 56.76%, see rank | 39.43% | 23.18% |
| $500 to $699 | 2, 2.70%, see rank | 25.02% | 29.57% |
| $700 to $999 | 0, 0.00%, see rank | 8.08% | 24.06% |
| $1,000 to $1,499 | 0, 0.00%, 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 | $332, 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.
