46517 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 46517 Zip Code | Indiana | U.S. |
Occupied Units Paying Rent | 3,000, 100% | 716,461 | 39,201,928 |
$199 or Less | 45, 1.50%, see rank | 1.90% | 1.50% |
$200 to $299 | 149, 4.97%, see rank | 3.46% | 3.18% |
$300 to $499 | 514, 17.13%, see rank | 10.51% | 7.37% |
$500 to $699 | 1,045, 34.83%, see rank | 27.49% | 16.01% |
$700 to $999 | 891, 29.70%, see rank | 37.65% | 29.17% |
$1,000 to $1,499 | 240, 8.00%, see rank | 15.48% | 26.88% |
$1,500 to $1,999 | 15, 0.50%, see rank | 2.39% | 9.79% |
$2,000 or More | 101, 3.37%, see rank | 1.13% | 6.10% |
Median | $661, see rank | $741 | $920 |
ACS 2008-2012 data
Monthly Rental | 46517 Zip Code | Indiana | U.S. |
Occupied Units Paying Rent | 2,620, 100% | 685,288 | 37,562,111 |
$199 or Less | 100, 3.82%, see rank | 2.34% | 1.76% |
$200 to $299 | 186, 7.10%, see rank | 3.48% | 3.29% |
$300 to $499 | 456, 17.40%, see rank | 11.93% | 8.20% |
$500 to $699 | 998, 38.09%, see rank | 29.23% | 17.39% |
$700 to $999 | 568, 21.68%, see rank | 36.33% | 29.40% |
$1,000 to $1,499 | 258, 9.85%, see rank | 13.66% | 25.73% |
$1,500 to $1,999 | 13, 0.50%, see rank | 1.97% | 8.92% |
$2,000 or More | 41, 1.56%, see rank | 1.06% | 5.30% |
Median | $619, see rank | $719 | $889 |
US Census 2000 data
Monthly Rental | 46517 Zip Code | Indiana | U.S. |
Occupied Units Paying Rent | 2,529, 100% | 618,575 | 33,386,326 |
$199 or Less | 284, 11.23%, see rank | 6.43% | 5.52% |
$200 to $299 | 76, 3.01%, see rank | 6.11% | 5.45% |
$300 to $499 | 967, 38.24%, see rank | 32.96% | 23.18% |
$500 to $699 | 880, 34.80%, see rank | 35.58% | 29.57% |
$700 to $999 | 233, 9.21%, see rank | 15.31% | 24.06% |
$1,000 to $1,499 | 74, 2.93%, see rank | 2.77% | 9.15% |
$1,500 to $1,999 | 15, 0.59%, see rank | 0.56% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.27% | 1.02% |
Median | $490, 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.