47874 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
| Monthly Rental | 47874 Zip Code | Indiana | U.S. |
| Occupied Units Paying Rent | 154, 100% | 716,461 | 39,201,928 |
| $199 or Less | 0, 0.00%, see rank | 1.90% | 1.50% |
| $200 to $299 | 7, 4.55%, see rank | 3.46% | 3.18% |
| $300 to $499 | 28, 18.18%, see rank | 10.51% | 7.37% |
| $500 to $699 | 70, 45.45%, see rank | 27.49% | 16.01% |
| $700 to $999 | 30, 19.48%, see rank | 37.65% | 29.17% |
| $1,000 to $1,499 | 19, 12.34%, 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 | $580, see rank | $741 | $920 |
ACS 2008-2012 data
| Monthly Rental | 47874 Zip Code | Indiana | U.S. |
| Occupied Units Paying Rent | 76, 100% | 685,288 | 37,562,111 |
| $199 or Less | 8, 10.53%, see rank | 2.34% | 1.76% |
| $200 to $299 | 9, 11.84%, see rank | 3.48% | 3.29% |
| $300 to $499 | 27, 35.53%, see rank | 11.93% | 8.20% |
| $500 to $699 | 23, 30.26%, see rank | 29.23% | 17.39% |
| $700 to $999 | 7, 9.21%, see rank | 36.33% | 29.40% |
| $1,000 to $1,499 | 2, 2.63%, see rank | 13.66% | 25.73% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 1.97% | 8.92% |
| $2,000 or More | 0, 0.00%, see rank | 1.06% | 5.30% |
| Median | $467, see rank | $719 | $889 |
US Census 2000 data
| Monthly Rental | 47874 Zip Code | Indiana | U.S. |
| Occupied Units Paying Rent | 128, 100% | 618,575 | 33,386,326 |
| $199 or Less | 24, 18.75%, see rank | 6.43% | 5.52% |
| $200 to $299 | 28, 21.88%, see rank | 6.11% | 5.45% |
| $300 to $499 | 30, 23.44%, see rank | 32.96% | 23.18% |
| $500 to $699 | 41, 32.03%, see rank | 35.58% | 29.57% |
| $700 to $999 | 5, 3.91%, see rank | 15.31% | 24.06% |
| $1,000 to $1,499 | 0, 0.00%, see rank | 2.77% | 9.15% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 0.56% | 2.05% |
| $2,000 or More | 0, 0.00%, see rank | 0.27% | 1.02% |
| Median | $403, 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.
