USA.com / Wisconsin / Kenosha County / Twin Lakes, WI / 53181 / Housing / Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data
53181 Zip Code Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data
ACS 2010-2014 data
Median Owner Costs, see rank
53181 Zip Code | 1,638 USD |
Wisconsin | 1,431 USD |
U.S. | 1,522 USD |
Owner Costs Distribution
Monthly Owner Costs | 53181 Zip Code | % | Wisconsin | U.S. |
$299 or Less | 0 | 0.00%, see rank | 0.10% | 0.20% |
$300 to $499 | 0 | 0.00%, see rank | 1.02% | 1.59% |
$500 to $699 | 77 | 4.82%, see rank | 4.21% | 5.01% |
$700 to $999 | 49 | 3.07%, see rank | 14.68% | 14.32% |
$1,000 to $1,499 | 536 | 33.54%, see rank | 34.81% | 27.90% |
$1,500 to $1,999 | 507 | 31.73%, see rank | 24.78% | 20.35% |
$2,000 to $2,999 | 298 | 18.65%, see rank | 15.85% | 19.52% |
$3,000 or More | 131 | 8.20%, see rank | 4.55% | 11.12% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
53181 Zip Code | 27.40% 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
53181 Zip Code | % | Wisconsin | U.S. | |
10% or Less | 15 | 0.94%, see rank | 4.51% | 5.86% |
10% to 20% | 481 | 30.10%, see rank | 33.66% | 31.95% |
20% to 30% | 398 | 24.91%, see rank | 30.65% | 27.64% |
30% to 40% | 386 | 24.16%, see rank | 13.53% | 13.74% |
40% or More | 318 | 19.90%, see rank | 17.33% | 20.29% |
ACS 2008-2012 data
Median Owner Costs, see rank
53181 Zip Code | 1,636 USD |
Wisconsin | 1,460 USD |
U.S. | 1,559 USD |
Owner Costs Distribution
Monthly Owner Costs | 53181 Zip Code | % | Wisconsin | U.S. |
$299 or Less | 0 | 0.00%, see rank | 0.09% | 0.18% |
$300 to $499 | 16 | 0.92%, see rank | 1.04% | 1.59% |
$500 to $699 | 60 | 3.44%, see rank | 3.95% | 4.89% |
$700 to $999 | 135 | 7.74%, see rank | 13.68% | 13.71% |
$1,000 to $1,499 | 489 | 28.04%, see rank | 34.00% | 26.97% |
$1,500 to $1,999 | 666 | 38.19%, see rank | 25.34% | 20.33% |
$2,000 to $2,999 | 265 | 15.19%, see rank | 16.89% | 20.10% |
$3,000 or More | 113 | 6.48%, see rank | 5.00% | 12.24% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
53181 Zip Code | 26.50% 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
53181 Zip Code | % | Wisconsin | U.S. | |
10% or Less | 46 | 2.64%, see rank | 3.87% | 5.04% |
10% to 20% | 480 | 27.52%, see rank | 30.97% | 29.70% |
20% to 30% | 506 | 29.01%, see rank | 31.70% | 28.18% |
30% to 40% | 330 | 18.92%, see rank | 14.85% | 14.80% |
40% or More | 382 | 21.90%, see rank | 18.31% | 21.80% |
US Census 2000 data
Median Owner Costs, see rank
53181 Zip Code | 1,182 USD |
Wisconsin | 1,024 USD |
U.S. | 1,088 USD |
Owner Costs Distribution
Monthly Owner Costs | 53181 Zip Code | % | Wisconsin | U.S. |
$299 or Less | 0 | 0.00%, see rank | 0.32% | 0.66% |
$300 to $499 | 15 | 1.13%, see rank | 4.80% | 5.56% |
$500 to $699 | 100 | 7.53%, see rank | 13.63% | 12.79% |
$700 to $999 | 334 | 25.15%, see rank | 29.29% | 24.86% |
$1,000 to $1,499 | 570 | 42.92%, see rank | 33.83% | 30.21% |
$1,500 to $1,999 | 216 | 16.27%, see rank | 12.05% | 14.37% |
$2,000 to $2,999 | 82 | 6.17%, see rank | 4.97% | 8.43% |
$3,000 or More | 11 | 0.83%, see rank | 1.11% | 3.13% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
53181 Zip Code | 24.30% 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
53181 Zip Code | % | Wisconsin | U.S. | |
10% or Less | 51 | 3.84%, see rank | 6.40% | 7.21% |
10% to 20% | 385 | 28.99%, see rank | 40.16% | 36.64% |
20% to 30% | 507 | 38.18%, see rank | 31.70% | 29.01% |
30% to 40% | 239 | 18.00%, see rank | 11.31% | 12.29% |
40% or More | 141 | 10.62%, 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.