53719 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 53719 Zip Code | Wisconsin | U.S. |
Occupied Units Paying Rent | 6,140, 100% | 709,828 | 39,201,928 |
$199 or Less | 0, 0.00%, see rank | 1.15% | 1.50% |
$200 to $299 | 0, 0.00%, see rank | 3.37% | 3.18% |
$300 to $499 | 20, 0.33%, see rank | 9.44% | 7.37% |
$500 to $699 | 390, 6.35%, see rank | 24.99% | 16.01% |
$700 to $999 | 2,688, 43.78%, see rank | 38.29% | 29.17% |
$1,000 to $1,499 | 2,546, 41.47%, see rank | 18.34% | 26.88% |
$1,500 to $1,999 | 357, 5.81%, see rank | 3.01% | 9.79% |
$2,000 or More | 139, 2.26%, see rank | 1.41% | 6.10% |
Median | $997, see rank | $772 | $920 |
ACS 2008-2012 data
Monthly Rental | 53719 Zip Code | Wisconsin | U.S. |
Occupied Units Paying Rent | 5,706, 100% | 687,221 | 37,562,111 |
$199 or Less | 16, 0.28%, see rank | 1.29% | 1.76% |
$200 to $299 | 0, 0.00%, see rank | 3.59% | 3.29% |
$300 to $499 | 0, 0.00%, see rank | 10.63% | 8.20% |
$500 to $699 | 418, 7.33%, see rank | 27.07% | 17.39% |
$700 to $999 | 2,728, 47.81%, see rank | 37.08% | 29.40% |
$1,000 to $1,499 | 2,115, 37.07%, see rank | 16.76% | 25.73% |
$1,500 to $1,999 | 356, 6.24%, see rank | 2.41% | 8.92% |
$2,000 or More | 73, 1.28%, see rank | 1.17% | 5.30% |
Median | $975, see rank | $749 | $889 |
US Census 2000 data
Monthly Rental | 53719 Zip Code | Wisconsin | U.S. |
Occupied Units Paying Rent | 4,306, 100% | 617,706 | 33,386,326 |
$199 or Less | 49, 1.14%, see rank | 4.97% | 5.52% |
$200 to $299 | 58, 1.35%, see rank | 5.96% | 5.45% |
$300 to $499 | 195, 4.53%, see rank | 30.66% | 23.18% |
$500 to $699 | 1,340, 31.12%, see rank | 35.75% | 29.57% |
$700 to $999 | 2,118, 49.19%, see rank | 18.23% | 24.06% |
$1,000 to $1,499 | 446, 10.36%, see rank | 3.65% | 9.15% |
$1,500 to $1,999 | 56, 1.30%, see rank | 0.54% | 2.05% |
$2,000 or More | 44, 1.02%, see rank | 0.25% | 1.02% |
Median | $738, 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.