USA.com / Wisconsin / La Crosse County / La Crosse, WI / 54603 / Housing / Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data
54603 Zip Code Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data
ACS 2010-2014 data
Median Owner Costs, see rank
54603 Zip Code | 1,191 USD |
Wisconsin | 1,431 USD |
U.S. | 1,522 USD |
Owner Costs Distribution
Monthly Owner Costs | 54603 Zip Code | % | Wisconsin | U.S. |
$299 or Less | 0 | 0.00%, see rank | 0.10% | 0.20% |
$300 to $499 | 15 | 0.58%, see rank | 1.02% | 1.59% |
$500 to $699 | 164 | 6.35%, see rank | 4.21% | 5.01% |
$700 to $999 | 491 | 19.02%, see rank | 14.68% | 14.32% |
$1,000 to $1,499 | 1,361 | 52.71%, see rank | 34.81% | 27.90% |
$1,500 to $1,999 | 442 | 17.12%, see rank | 24.78% | 20.35% |
$2,000 to $2,999 | 95 | 3.68%, see rank | 15.85% | 19.52% |
$3,000 or More | 14 | 0.54%, see rank | 4.55% | 11.12% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
54603 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
54603 Zip Code | % | Wisconsin | U.S. | |
10% or Less | 49 | 1.90%, see rank | 4.51% | 5.86% |
10% to 20% | 883 | 34.20%, see rank | 33.66% | 31.95% |
20% to 30% | 725 | 28.08%, see rank | 30.65% | 27.64% |
30% to 40% | 381 | 14.76%, see rank | 13.53% | 13.74% |
40% or More | 544 | 21.07%, see rank | 17.33% | 20.29% |
ACS 2008-2012 data
Median Owner Costs, see rank
54603 Zip Code | 1,227 USD |
Wisconsin | 1,460 USD |
U.S. | 1,559 USD |
Owner Costs Distribution
Monthly Owner Costs | 54603 Zip Code | % | Wisconsin | U.S. |
$299 or Less | 18 | 0.73%, see rank | 0.09% | 0.18% |
$300 to $499 | 0 | 0.00%, see rank | 1.04% | 1.59% |
$500 to $699 | 135 | 5.47%, see rank | 3.95% | 4.89% |
$700 to $999 | 603 | 24.43%, see rank | 13.68% | 13.71% |
$1,000 to $1,499 | 1,200 | 48.62%, see rank | 34.00% | 26.97% |
$1,500 to $1,999 | 366 | 14.83%, see rank | 25.34% | 20.33% |
$2,000 to $2,999 | 146 | 5.92%, see rank | 16.89% | 20.10% |
$3,000 or More | 0 | 0.00%, see rank | 5.00% | 12.24% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
54603 Zip Code | 24.40% 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
54603 Zip Code | % | Wisconsin | U.S. | |
10% or Less | 102 | 4.13%, see rank | 3.87% | 5.04% |
10% to 20% | 778 | 31.52%, see rank | 30.97% | 29.70% |
20% to 30% | 724 | 29.34%, see rank | 31.70% | 28.18% |
30% to 40% | 528 | 21.39%, see rank | 14.85% | 14.80% |
40% or More | 336 | 13.61%, see rank | 18.31% | 21.80% |
US Census 2000 data
Median Owner Costs, see rank
54603 Zip Code | 804 USD |
Wisconsin | 1,024 USD |
U.S. | 1,088 USD |
Owner Costs Distribution
Monthly Owner Costs | 54603 Zip Code | % | Wisconsin | U.S. |
$299 or Less | 9 | 0.44%, see rank | 0.32% | 0.66% |
$300 to $499 | 214 | 10.41%, see rank | 4.80% | 5.56% |
$500 to $699 | 472 | 22.97%, see rank | 13.63% | 12.79% |
$700 to $999 | 869 | 42.29%, see rank | 29.29% | 24.86% |
$1,000 to $1,499 | 368 | 17.91%, see rank | 33.83% | 30.21% |
$1,500 to $1,999 | 93 | 4.53%, see rank | 12.05% | 14.37% |
$2,000 to $2,999 | 30 | 1.46%, 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
54603 Zip Code | 20.00% 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
54603 Zip Code | % | Wisconsin | U.S. | |
10% or Less | 128 | 6.23%, see rank | 6.40% | 7.21% |
10% to 20% | 895 | 43.55%, see rank | 40.16% | 36.64% |
20% to 30% | 615 | 29.93%, see rank | 31.70% | 29.01% |
30% to 40% | 211 | 10.27%, see rank | 11.31% | 12.29% |
40% or More | 194 | 9.44%, 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.