USA.com / Wisconsin / Milwaukee County / Milwaukee, WI / 53203 / Housing / Historical Monthly Owner Costs for Housing Units Without a Mortgage Status Data
53203 Zip Code Historical Monthly Owner Costs for Housing Units Without a Mortgage Status Data
ACS 2010-2014 data
Owner Costs Distribution
Monthly Owner Costs | 53203 Zip Code | % | Wisconsin | U.S. |
$199 or Less | 0 | 0.00%, see rank | 2.64% | 7.76% |
$200 to $299 | 0 | 0.00%, see rank | 6.41% | 14.70% |
$300 to $499 | 0 | 0.00%, see rank | 34.53% | 34.63% |
$500 to $699 | 0 | 0.00%, see rank | 33.44% | 21.16% |
$700 or More | 15 | 100.00%, see rank | 22.98% | 21.75% |
Owner Cost as a Percentage of the Total Income, Distribution
53203 Zip Code | % | Wisconsin | U.S. | |
10% or Less | 0 | 0.00%, see rank | 33.30% | 40.19% |
10% to 20% | 10 | 66.67%, see rank | 35.42% | 31.47% |
20% to 30% | 0 | 0.00%, see rank | 14.69% | 12.24% |
30% to 40% | 0 | 0.00%, see rank | 6.48% | 5.64% |
40% or More | 5 | 33.33%, see rank | 9.14% | 9.16% |
ACS 2008-2012 data
Owner Costs Distribution
Monthly Owner Costs | 53203 Zip Code | % | Wisconsin | U.S. |
$199 or Less | 0 | 0.00%, see rank | 2.54% | 7.99% |
$200 to $299 | 0 | 0.00%, see rank | 6.68% | 15.31% |
$300 to $499 | 0 | 0.00%, see rank | 36.41% | 35.02% |
$500 to $699 | 0 | 0.00%, see rank | 32.89% | 20.88% |
$700 or More | 10 | 100.00%, see rank | 21.48% | 20.80% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
53203 Zip Code | 50.00% of the Total Income |
Wisconsin | 13.90% of the Total Income |
U.S. | 12.60% of the Total Income |
Owner Cost as a Percentage of the Total Income, Distribution
53203 Zip Code | % | Wisconsin | U.S. | |
10% or Less | 0 | 0.00%, see rank | 32.59% | 39.10% |
10% to 20% | 0 | 0.00%, see rank | 35.41% | 31.88% |
20% to 30% | 0 | 0.00%, see rank | 15.00% | 12.59% |
30% to 40% | 0 | 0.00%, see rank | 6.80% | 5.84% |
40% or More | 4 | 40.00%, see rank | 9.34% | 9.41% |
* 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.