47905 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 47905 Zip Code | Indiana | U.S. |
Occupied Units Paying Rent | 5,802, 100% | 716,461 | 39,201,928 |
$199 or Less | 10, 0.17%, see rank | 1.90% | 1.50% |
$200 to $299 | 103, 1.78%, see rank | 3.46% | 3.18% |
$300 to $499 | 232, 4.00%, see rank | 10.51% | 7.37% |
$500 to $699 | 1,250, 21.54%, see rank | 27.49% | 16.01% |
$700 to $999 | 3,288, 56.67%, see rank | 37.65% | 29.17% |
$1,000 to $1,499 | 836, 14.41%, see rank | 15.48% | 26.88% |
$1,500 to $1,999 | 36, 0.62%, see rank | 2.39% | 9.79% |
$2,000 or More | 47, 0.81%, see rank | 1.13% | 6.10% |
Median | $784, see rank | $741 | $920 |
ACS 2008-2012 data
Monthly Rental | 47905 Zip Code | Indiana | U.S. |
Occupied Units Paying Rent | 5,844, 100% | 685,288 | 37,562,111 |
$199 or Less | 69, 1.18%, see rank | 2.34% | 1.76% |
$200 to $299 | 129, 2.21%, see rank | 3.48% | 3.29% |
$300 to $499 | 327, 5.60%, see rank | 11.93% | 8.20% |
$500 to $699 | 1,984, 33.95%, see rank | 29.23% | 17.39% |
$700 to $999 | 2,585, 44.23%, see rank | 36.33% | 29.40% |
$1,000 to $1,499 | 624, 10.68%, see rank | 13.66% | 25.73% |
$1,500 to $1,999 | 90, 1.54%, see rank | 1.97% | 8.92% |
$2,000 or More | 36, 0.62%, see rank | 1.06% | 5.30% |
Median | $758, see rank | $719 | $889 |
US Census 2000 data
Monthly Rental | 47905 Zip Code | Indiana | U.S. |
Occupied Units Paying Rent | 5,017, 100% | 618,575 | 33,386,326 |
$199 or Less | 388, 7.73%, see rank | 6.43% | 5.52% |
$200 to $299 | 249, 4.96%, see rank | 6.11% | 5.45% |
$300 to $499 | 907, 18.08%, see rank | 32.96% | 23.18% |
$500 to $699 | 2,120, 42.26%, see rank | 35.58% | 29.57% |
$700 to $999 | 1,126, 22.44%, see rank | 15.31% | 24.06% |
$1,000 to $1,499 | 157, 3.13%, see rank | 2.77% | 9.15% |
$1,500 to $1,999 | 56, 1.12%, see rank | 0.56% | 2.05% |
$2,000 or More | 14, 0.28%, see rank | 0.27% | 1.02% |
Median | $581, 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.