54180 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
| Monthly Rental | 54180 Zip Code | Wisconsin | U.S. |
| Occupied Units Paying Rent | 283, 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 | 16, 5.65%, see rank | 9.44% | 7.37% |
| $500 to $699 | 105, 37.10%, see rank | 24.99% | 16.01% |
| $700 to $999 | 75, 26.50%, see rank | 38.29% | 29.17% |
| $1,000 to $1,499 | 87, 30.74%, see rank | 18.34% | 26.88% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 3.01% | 9.79% |
| $2,000 or More | 0, 0.00%, see rank | 1.41% | 6.10% |
| Median | $830, see rank | $772 | $920 |
ACS 2008-2012 data
| Monthly Rental | 54180 Zip Code | Wisconsin | U.S. |
| Occupied Units Paying Rent | 254, 100% | 687,221 | 37,562,111 |
| $199 or Less | 0, 0.00%, see rank | 1.29% | 1.76% |
| $200 to $299 | 6, 2.36%, see rank | 3.59% | 3.29% |
| $300 to $499 | 9, 3.54%, see rank | 10.63% | 8.20% |
| $500 to $699 | 76, 29.92%, see rank | 27.07% | 17.39% |
| $700 to $999 | 100, 39.37%, see rank | 37.08% | 29.40% |
| $1,000 to $1,499 | 63, 24.80%, see rank | 16.76% | 25.73% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 2.41% | 8.92% |
| $2,000 or More | 0, 0.00%, see rank | 1.17% | 5.30% |
| Median | $885, see rank | $749 | $889 |
US Census 2000 data
| Monthly Rental | 54180 Zip Code | Wisconsin | U.S. |
| Occupied Units Paying Rent | 173, 100% | 617,706 | 33,386,326 |
| $199 or Less | 6, 3.47%, see rank | 4.97% | 5.52% |
| $200 to $299 | 9, 5.20%, see rank | 5.96% | 5.45% |
| $300 to $499 | 57, 32.95%, see rank | 30.66% | 23.18% |
| $500 to $699 | 34, 19.65%, see rank | 35.75% | 29.57% |
| $700 to $999 | 60, 34.68%, see rank | 18.23% | 24.06% |
| $1,000 to $1,499 | 7, 4.05%, see rank | 3.65% | 9.15% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 0.54% | 2.05% |
| $2,000 or More | 0, 0.00%, see rank | 0.25% | 1.02% |
| Median | $548, 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.
