53405 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 53405 Zip Code | Wisconsin | U.S. |
Occupied Units Paying Rent | 2,803, 100% | 709,828 | 39,201,928 |
$199 or Less | 0, 0.00%, see rank | 1.15% | 1.50% |
$200 to $299 | 169, 6.03%, see rank | 3.37% | 3.18% |
$300 to $499 | 346, 12.34%, see rank | 9.44% | 7.37% |
$500 to $699 | 563, 20.09%, see rank | 24.99% | 16.01% |
$700 to $999 | 909, 32.43%, see rank | 38.29% | 29.17% |
$1,000 to $1,499 | 709, 25.29%, see rank | 18.34% | 26.88% |
$1,500 to $1,999 | 90, 3.21%, see rank | 3.01% | 9.79% |
$2,000 or More | 17, 0.61%, see rank | 1.41% | 6.10% |
Median | $810, see rank | $772 | $920 |
ACS 2008-2012 data
Monthly Rental | 53405 Zip Code | Wisconsin | U.S. |
Occupied Units Paying Rent | 2,925, 100% | 687,221 | 37,562,111 |
$199 or Less | 6, 0.21%, see rank | 1.29% | 1.76% |
$200 to $299 | 195, 6.67%, see rank | 3.59% | 3.29% |
$300 to $499 | 331, 11.32%, see rank | 10.63% | 8.20% |
$500 to $699 | 665, 22.74%, see rank | 27.07% | 17.39% |
$700 to $999 | 1,113, 38.05%, see rank | 37.08% | 29.40% |
$1,000 to $1,499 | 571, 19.52%, see rank | 16.76% | 25.73% |
$1,500 to $1,999 | 36, 1.23%, see rank | 2.41% | 8.92% |
$2,000 or More | 8, 0.27%, see rank | 1.17% | 5.30% |
Median | $762, see rank | $749 | $889 |
US Census 2000 data
Monthly Rental | 53405 Zip Code | Wisconsin | U.S. |
Occupied Units Paying Rent | 2,398, 100% | 617,706 | 33,386,326 |
$199 or Less | 113, 4.71%, see rank | 4.97% | 5.52% |
$200 to $299 | 70, 2.92%, see rank | 5.96% | 5.45% |
$300 to $499 | 605, 25.23%, see rank | 30.66% | 23.18% |
$500 to $699 | 1,204, 50.21%, see rank | 35.75% | 29.57% |
$700 to $999 | 364, 15.18%, see rank | 18.23% | 24.06% |
$1,000 to $1,499 | 29, 1.21%, see rank | 3.65% | 9.15% |
$1,500 to $1,999 | 13, 0.54%, see rank | 0.54% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.25% | 1.02% |
Median | $550, see rank | $540 | $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.