Spring Hills, IN Historical Gross Rent Price Data
ACS 2010-2014 data
| Monthly Rental | Spring Hills, IN | Indiana | U.S. |
| Occupied Units Paying Rent | 1, 100% | 716,461 | 39,201,928 |
| $199 or Less | 0, 0.00%, see rank | 1.90% | 1.50% |
| $200 to $299 | 0, 0.00%, see rank | 3.46% | 3.18% |
| $300 to $499 | 0, 0.00%, see rank | 10.51% | 7.37% |
| $500 to $699 | 0, 0.00%, see rank | 27.49% | 16.01% |
| $700 to $999 | 0, 0.00%, see rank | 37.65% | 29.17% |
| $1,000 to $1,499 | 1, 100.00%, see rank | 15.48% | 26.88% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 2.39% | 9.79% |
| $2,000 or More | 0, 0.00%, see rank | 1.13% | 6.10% |
| Median | $0, see rank | $741 | $920 |
ACS 2005-2009 data
| Monthly Rental | Spring Hills, IN | Indiana | U.S. |
| Occupied Units Paying Rent | 5, 100% | 659,830 | 35,101,833 |
| $199 or Less | 0, 0.00%, see rank | 3.35% | 2.52% |
| $200 to $299 | 0, 0.00%, see rank | 3.51% | 3.53% |
| $300 to $499 | 0, 0.00%, see rank | 15.62% | 10.66% |
| $500 to $699 | 0, 0.00%, see rank | 32.37% | 20.44% |
| $700 to $999 | 0, 0.00%, see rank | 32.37% | 29.94% |
| $1,000 to $1,499 | 0, 0.00%, see rank | 10.68% | 22.31% |
| $1,500 to $1,999 | 5, 100.00%, see rank | 1.39% | 6.90% |
| $2,000 or More | 0, 0.00%, see rank | 0.71% | 3.71% |
| Median | $0, see rank | $671 | $817 |
US Census 2000 data
| Monthly Rental | Spring Hills, IN | Indiana | U.S. |
| Occupied Units Paying Rent | 14, 100% | 618,575 | 33,386,326 |
| $199 or Less | 0, 0.00%, see rank | 6.43% | 5.52% |
| $200 to $299 | 0, 0.00%, see rank | 6.11% | 5.45% |
| $300 to $499 | 0, 0.00%, see rank | 32.96% | 23.18% |
| $500 to $699 | 0, 0.00%, see rank | 35.58% | 29.57% |
| $700 to $999 | 0, 0.00%, see rank | 15.31% | 24.06% |
| $1,000 to $1,499 | 9, 64.29%, see rank | 2.77% | 9.15% |
| $1,500 to $1,999 | 5, 35.71%, see rank | 0.56% | 2.05% |
| $2,000 or More | 0, 0.00%, see rank | 0.27% | 1.02% |
| Median | $1,444, see rank | $521 | $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.
