46901 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 46901 Zip Code | Indiana | U.S. |
Occupied Units Paying Rent | 4,599, 100% | 716,461 | 39,201,928 |
$199 or Less | 75, 1.63%, see rank | 1.90% | 1.50% |
$200 to $299 | 294, 6.39%, see rank | 3.46% | 3.18% |
$300 to $499 | 868, 18.87%, see rank | 10.51% | 7.37% |
$500 to $699 | 1,560, 33.92%, see rank | 27.49% | 16.01% |
$700 to $999 | 1,347, 29.29%, see rank | 37.65% | 29.17% |
$1,000 to $1,499 | 314, 6.83%, see rank | 15.48% | 26.88% |
$1,500 to $1,999 | 66, 1.44%, see rank | 2.39% | 9.79% |
$2,000 or More | 75, 1.63%, see rank | 1.13% | 6.10% |
Median | $633, see rank | $741 | $920 |
ACS 2008-2012 data
Monthly Rental | 46901 Zip Code | Indiana | U.S. |
Occupied Units Paying Rent | 4,353, 100% | 685,288 | 37,562,111 |
$199 or Less | 125, 2.87%, see rank | 2.34% | 1.76% |
$200 to $299 | 224, 5.15%, see rank | 3.48% | 3.29% |
$300 to $499 | 880, 20.22%, see rank | 11.93% | 8.20% |
$500 to $699 | 1,288, 29.59%, see rank | 29.23% | 17.39% |
$700 to $999 | 1,454, 33.40%, see rank | 36.33% | 29.40% |
$1,000 to $1,499 | 264, 6.06%, see rank | 13.66% | 25.73% |
$1,500 to $1,999 | 84, 1.93%, see rank | 1.97% | 8.92% |
$2,000 or More | 34, 0.78%, see rank | 1.06% | 5.30% |
Median | $649, see rank | $719 | $889 |
US Census 2000 data
Monthly Rental | 46901 Zip Code | Indiana | U.S. |
Occupied Units Paying Rent | 4,262, 100% | 618,575 | 33,386,326 |
$199 or Less | 371, 8.70%, see rank | 6.43% | 5.52% |
$200 to $299 | 279, 6.55%, see rank | 6.11% | 5.45% |
$300 to $499 | 1,688, 39.61%, see rank | 32.96% | 23.18% |
$500 to $699 | 1,455, 34.14%, see rank | 35.58% | 29.57% |
$700 to $999 | 303, 7.11%, see rank | 15.31% | 24.06% |
$1,000 to $1,499 | 75, 1.76%, see rank | 2.77% | 9.15% |
$1,500 to $1,999 | 83, 1.95%, see rank | 0.56% | 2.05% |
$2,000 or More | 8, 0.19%, see rank | 0.27% | 1.02% |
Median | $475, 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.