46407 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 46407 Zip Code | Indiana | U.S. |
Occupied Units Paying Rent | 2,842, 100% | 716,461 | 39,201,928 |
$199 or Less | 308, 10.84%, see rank | 1.90% | 1.50% |
$200 to $299 | 311, 10.94%, see rank | 3.46% | 3.18% |
$300 to $499 | 371, 13.05%, see rank | 10.51% | 7.37% |
$500 to $699 | 565, 19.88%, see rank | 27.49% | 16.01% |
$700 to $999 | 899, 31.63%, see rank | 37.65% | 29.17% |
$1,000 to $1,499 | 352, 12.39%, see rank | 15.48% | 26.88% |
$1,500 to $1,999 | 36, 1.27%, see rank | 2.39% | 9.79% |
$2,000 or More | 0, 0.00%, see rank | 1.13% | 6.10% |
Median | $674, see rank | $741 | $920 |
ACS 2008-2012 data
Monthly Rental | 46407 Zip Code | Indiana | U.S. |
Occupied Units Paying Rent | 2,890, 100% | 685,288 | 37,562,111 |
$199 or Less | 335, 11.59%, see rank | 2.34% | 1.76% |
$200 to $299 | 280, 9.69%, see rank | 3.48% | 3.29% |
$300 to $499 | 382, 13.22%, see rank | 11.93% | 8.20% |
$500 to $699 | 631, 21.83%, see rank | 29.23% | 17.39% |
$700 to $999 | 907, 31.38%, see rank | 36.33% | 29.40% |
$1,000 to $1,499 | 306, 10.59%, see rank | 13.66% | 25.73% |
$1,500 to $1,999 | 42, 1.45%, see rank | 1.97% | 8.92% |
$2,000 or More | 7, 0.24%, see rank | 1.06% | 5.30% |
Median | $661, see rank | $719 | $889 |
US Census 2000 data
Monthly Rental | 46407 Zip Code | Indiana | U.S. |
Occupied Units Paying Rent | 3,637, 100% | 618,575 | 33,386,326 |
$199 or Less | 790, 21.72%, see rank | 6.43% | 5.52% |
$200 to $299 | 461, 12.68%, see rank | 6.11% | 5.45% |
$300 to $499 | 1,369, 37.64%, see rank | 32.96% | 23.18% |
$500 to $699 | 674, 18.53%, see rank | 35.58% | 29.57% |
$700 to $999 | 269, 7.40%, see rank | 15.31% | 24.06% |
$1,000 to $1,499 | 46, 1.26%, see rank | 2.77% | 9.15% |
$1,500 to $1,999 | 6, 0.16%, see rank | 0.56% | 2.05% |
$2,000 or More | 22, 0.60%, see rank | 0.27% | 1.02% |
Median | $385, 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.