USA.com / Wisconsin / Juneau County / New Lisbon, WI / 53950 / Housing / Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data
53950 Zip Code Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data
ACS 2010-2014 data
Median Owner Costs, see rank
53950 Zip Code | 1,192 USD |
Wisconsin | 1,431 USD |
U.S. | 1,522 USD |
Owner Costs Distribution
Monthly Owner Costs | 53950 Zip Code | % | Wisconsin | U.S. |
$299 or Less | 12 | 1.29%, see rank | 0.10% | 0.20% |
$300 to $499 | 34 | 3.66%, see rank | 1.02% | 1.59% |
$500 to $699 | 85 | 9.14%, see rank | 4.21% | 5.01% |
$700 to $999 | 195 | 20.97%, see rank | 14.68% | 14.32% |
$1,000 to $1,499 | 368 | 39.57%, see rank | 34.81% | 27.90% |
$1,500 to $1,999 | 136 | 14.62%, see rank | 24.78% | 20.35% |
$2,000 to $2,999 | 64 | 6.88%, see rank | 15.85% | 19.52% |
$3,000 or More | 36 | 3.87%, see rank | 4.55% | 11.12% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
53950 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
53950 Zip Code | % | Wisconsin | U.S. | |
10% or Less | 45 | 4.84%, see rank | 4.51% | 5.86% |
10% to 20% | 310 | 33.33%, see rank | 33.66% | 31.95% |
20% to 30% | 199 | 21.40%, see rank | 30.65% | 27.64% |
30% to 40% | 149 | 16.02%, see rank | 13.53% | 13.74% |
40% or More | 220 | 23.66%, see rank | 17.33% | 20.29% |
ACS 2008-2012 data
Median Owner Costs, see rank
53950 Zip Code | 1,192 USD |
Wisconsin | 1,460 USD |
U.S. | 1,559 USD |
Owner Costs Distribution
Monthly Owner Costs | 53950 Zip Code | % | Wisconsin | U.S. |
$299 or Less | 19 | 1.68%, see rank | 0.09% | 0.18% |
$300 to $499 | 42 | 3.71%, see rank | 1.04% | 1.59% |
$500 to $699 | 98 | 8.65%, see rank | 3.95% | 4.89% |
$700 to $999 | 277 | 24.45%, see rank | 13.68% | 13.71% |
$1,000 to $1,499 | 365 | 32.22%, see rank | 34.00% | 26.97% |
$1,500 to $1,999 | 188 | 16.59%, see rank | 25.34% | 20.33% |
$2,000 to $2,999 | 96 | 8.47%, see rank | 16.89% | 20.10% |
$3,000 or More | 48 | 4.24%, see rank | 5.00% | 12.24% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
53950 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
53950 Zip Code | % | Wisconsin | U.S. | |
10% or Less | 68 | 6.00%, see rank | 3.87% | 5.04% |
10% to 20% | 326 | 28.77%, see rank | 30.97% | 29.70% |
20% to 30% | 269 | 23.74%, see rank | 31.70% | 28.18% |
30% to 40% | 181 | 15.98%, see rank | 14.85% | 14.80% |
40% or More | 283 | 24.98%, see rank | 18.31% | 21.80% |
US Census 2000 data
Median Owner Costs, see rank
53950 Zip Code | 752 USD |
Wisconsin | 1,024 USD |
U.S. | 1,088 USD |
Owner Costs Distribution
Monthly Owner Costs | 53950 Zip Code | % | Wisconsin | U.S. |
$299 or Less | 9 | 1.87%, see rank | 0.32% | 0.66% |
$300 to $499 | 60 | 12.45%, see rank | 4.80% | 5.56% |
$500 to $699 | 134 | 27.80%, see rank | 13.63% | 12.79% |
$700 to $999 | 162 | 33.61%, see rank | 29.29% | 24.86% |
$1,000 to $1,499 | 84 | 17.43%, see rank | 33.83% | 30.21% |
$1,500 to $1,999 | 19 | 3.94%, see rank | 12.05% | 14.37% |
$2,000 to $2,999 | 14 | 2.90%, 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
53950 Zip Code | 19.00% 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
53950 Zip Code | % | Wisconsin | U.S. | |
10% or Less | 48 | 9.96%, see rank | 6.40% | 7.21% |
10% to 20% | 215 | 44.61%, see rank | 40.16% | 36.64% |
20% to 30% | 119 | 24.69%, see rank | 31.70% | 29.01% |
30% to 40% | 48 | 9.96%, see rank | 11.31% | 12.29% |
40% or More | 49 | 10.17%, 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.