47714 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 47714 Zip Code | Indiana | U.S. |
Occupied Units Paying Rent | 5,454, 100% | 716,461 | 39,201,928 |
$199 or Less | 81, 1.49%, see rank | 1.90% | 1.50% |
$200 to $299 | 97, 1.78%, see rank | 3.46% | 3.18% |
$300 to $499 | 633, 11.61%, see rank | 10.51% | 7.37% |
$500 to $699 | 1,651, 30.27%, see rank | 27.49% | 16.01% |
$700 to $999 | 2,052, 37.62%, see rank | 37.65% | 29.17% |
$1,000 to $1,499 | 803, 14.72%, see rank | 15.48% | 26.88% |
$1,500 to $1,999 | 77, 1.41%, see rank | 2.39% | 9.79% |
$2,000 or More | 60, 1.10%, see rank | 1.13% | 6.10% |
Median | $728, see rank | $741 | $920 |
ACS 2008-2012 data
Monthly Rental | 47714 Zip Code | Indiana | U.S. |
Occupied Units Paying Rent | 5,498, 100% | 685,288 | 37,562,111 |
$199 or Less | 129, 2.35%, see rank | 2.34% | 1.76% |
$200 to $299 | 166, 3.02%, see rank | 3.48% | 3.29% |
$300 to $499 | 641, 11.66%, see rank | 11.93% | 8.20% |
$500 to $699 | 2,122, 38.60%, see rank | 29.23% | 17.39% |
$700 to $999 | 1,710, 31.10%, see rank | 36.33% | 29.40% |
$1,000 to $1,499 | 624, 11.35%, see rank | 13.66% | 25.73% |
$1,500 to $1,999 | 74, 1.35%, see rank | 1.97% | 8.92% |
$2,000 or More | 32, 0.58%, see rank | 1.06% | 5.30% |
Median | $672, see rank | $719 | $889 |
US Census 2000 data
Monthly Rental | 47714 Zip Code | Indiana | U.S. |
Occupied Units Paying Rent | 5,121, 100% | 618,575 | 33,386,326 |
$199 or Less | 217, 4.24%, see rank | 6.43% | 5.52% |
$200 to $299 | 365, 7.13%, see rank | 6.11% | 5.45% |
$300 to $499 | 2,382, 46.51%, see rank | 32.96% | 23.18% |
$500 to $699 | 1,625, 31.73%, see rank | 35.58% | 29.57% |
$700 to $999 | 493, 9.63%, see rank | 15.31% | 24.06% |
$1,000 to $1,499 | 13, 0.25%, see rank | 2.77% | 9.15% |
$1,500 to $1,999 | 0, 0.00%, see rank | 0.56% | 2.05% |
$2,000 or More | 26, 0.51%, see rank | 0.27% | 1.02% |
Median | $470, 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.