USA.com / Wisconsin / Kenosha County / Trevor, WI / 53179 / Housing / Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data
53179 Zip Code Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data
ACS 2010-2014 data
Median Owner Costs, see rank
53179 Zip Code | 1,718 USD |
Wisconsin | 1,431 USD |
U.S. | 1,522 USD |
Owner Costs Distribution
Monthly Owner Costs | 53179 Zip Code | % | Wisconsin | U.S. |
$299 or Less | 0 | 0.00%, see rank | 0.10% | 0.20% |
$300 to $499 | 27 | 1.82%, see rank | 1.02% | 1.59% |
$500 to $699 | 58 | 3.91%, see rank | 4.21% | 5.01% |
$700 to $999 | 112 | 7.55%, see rank | 14.68% | 14.32% |
$1,000 to $1,499 | 329 | 22.18%, see rank | 34.81% | 27.90% |
$1,500 to $1,999 | 434 | 29.27%, see rank | 24.78% | 20.35% |
$2,000 to $2,999 | 433 | 29.20%, see rank | 15.85% | 19.52% |
$3,000 or More | 90 | 6.07%, see rank | 4.55% | 11.12% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
53179 Zip Code | 25.20% of the Total Income |
Wisconsin | 23.20% of the Total Income |
U.S. | 23.70% of the Total Income |
Owner Cost as a Percentage of the Total Income, Distribution
53179 Zip Code | % | Wisconsin | U.S. | |
10% or Less | 12 | 0.81%, see rank | 4.51% | 5.86% |
10% to 20% | 451 | 30.41%, see rank | 33.66% | 31.95% |
20% to 30% | 456 | 30.75%, see rank | 30.65% | 27.64% |
30% to 40% | 115 | 7.75%, see rank | 13.53% | 13.74% |
40% or More | 442 | 29.80%, see rank | 17.33% | 20.29% |
ACS 2008-2012 data
Median Owner Costs, see rank
53179 Zip Code | 1,671 USD |
Wisconsin | 1,460 USD |
U.S. | 1,559 USD |
Owner Costs Distribution
Monthly Owner Costs | 53179 Zip Code | % | Wisconsin | U.S. |
$299 or Less | 0 | 0.00%, see rank | 0.09% | 0.18% |
$300 to $499 | 52 | 2.94%, see rank | 1.04% | 1.59% |
$500 to $699 | 24 | 1.36%, see rank | 3.95% | 4.89% |
$700 to $999 | 113 | 6.38%, see rank | 13.68% | 13.71% |
$1,000 to $1,499 | 577 | 32.60%, see rank | 34.00% | 26.97% |
$1,500 to $1,999 | 424 | 23.95%, see rank | 25.34% | 20.33% |
$2,000 to $2,999 | 391 | 22.09%, see rank | 16.89% | 20.10% |
$3,000 or More | 189 | 10.68%, see rank | 5.00% | 12.24% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
53179 Zip Code | 26.00% of the Total Income |
Wisconsin | 24.10% of the Total Income |
U.S. | 24.70% of the Total Income |
Owner Cost as a Percentage of the Total Income, Distribution
53179 Zip Code | % | Wisconsin | U.S. | |
10% or Less | 9 | 0.51%, see rank | 3.87% | 5.04% |
10% to 20% | 513 | 28.98%, see rank | 30.97% | 29.70% |
20% to 30% | 568 | 32.09%, see rank | 31.70% | 28.18% |
30% to 40% | 260 | 14.69%, see rank | 14.85% | 14.80% |
40% or More | 415 | 23.45%, see rank | 18.31% | 21.80% |
US Census 2000 data
Median Owner Costs, see rank
53179 Zip Code | 1,088 USD |
Wisconsin | 1,024 USD |
U.S. | 1,088 USD |
Owner Costs Distribution
Monthly Owner Costs | 53179 Zip Code | % | Wisconsin | U.S. |
$299 or Less | 3 | 0.29%, see rank | 0.32% | 0.66% |
$300 to $499 | 21 | 2.04%, see rank | 4.80% | 5.56% |
$500 to $699 | 79 | 7.67%, see rank | 13.63% | 12.79% |
$700 to $999 | 326 | 31.65%, see rank | 29.29% | 24.86% |
$1,000 to $1,499 | 401 | 38.93%, see rank | 33.83% | 30.21% |
$1,500 to $1,999 | 134 | 13.01%, see rank | 12.05% | 14.37% |
$2,000 to $2,999 | 66 | 6.41%, see rank | 4.97% | 8.43% |
$3,000 or More | 0 | 0.00%, see rank | 1.11% | 3.13% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
53179 Zip Code | 24.00% of the Total Income |
Wisconsin | 20.90% of the Total Income |
U.S. | 21.70% of the Total Income |
Owner Cost as a Percentage of the Total Income, Distribution
53179 Zip Code | % | Wisconsin | U.S. | |
10% or Less | 40 | 3.88%, see rank | 6.40% | 7.21% |
10% to 20% | 330 | 32.04%, see rank | 40.16% | 36.64% |
20% to 30% | 304 | 29.51%, see rank | 31.70% | 29.01% |
30% to 40% | 153 | 14.85%, see rank | 11.31% | 12.29% |
40% or More | 196 | 19.03%, see rank | 10.18% | 14.37% |
* 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.