Mortgage Approval and Denial Rates in Dane County, Wisconsin (2025 HMDA)

How to read the mortgage denial rate in Dane County numbers

The numbers published here for Dane County, Wisconsin are medians — the midpoint of the distribution rather than the mean.

A median is the midpoint: half of the lending market sits above it and half below. Averages get dragged around by a handful of extreme values — one very expensive property, one unusually large loan, one graduate earning far more than their classmates — so a median is the safer number to plan against. Applications acted on of 21,832 and denial rate of 9.9%.

Treat these as a baseline for applying for a mortgage, not a quote. Your own position depends on details no dataset holds: credit history, the exact street, the specific product on offer this week.

What these numbers mean for buyers and refinancers judging their odds

Context does most of the work here. A number is only high or low next to something else, so we publish Dane County, Wisconsin and how it sits inside Wisconsin against a wider benchmark on the same measure. Median loan amount of $225,000 and median applicant income of $135,000.

Gaps of a few percent are noise. Gaps of twenty or thirty percent are structural, and they usually trace back to something concrete: the mix of housing stock, how many households are renting rather than owning, the local employer base, or how far the nearest metro area is.

The useful habit is to pair every figure with the cost it has to cover. Income against rent, loan size against income, price against what the same money buys one county over.

How Dane County, Wisconsin compares

Comparison is the fastest way to tell a genuinely unusual lending market from an ordinary one. We benchmark Dane County, Wisconsin against Wisconsin and against the national picture on the same definitions, in the same period, so the difference you see is a real difference rather than an artefact of two datasets disagreeing.

Watch the denominator whenever a comparison surprises you. Whether a rate is calculated on all applications or only completed ones, on every unit or only those on the market, changes the answer more than the local market does.

When the underlying sample is too small for a reliable estimate, we publish nothing for that measure rather than modelling a plausible-looking figure. Fewer numbers you can trust beats more you cannot.

What to check before you commit

None of this needs a spreadsheet. It needs the discipline of checking the same handful of things every time, whether you are applying for a mortgage for the first time or the fifth.

• Pull your credit file first and fix errors, because the file is what gets priced.
• Get more than one pre-approval — denial and pricing decisions vary by lender on identical files.
• Write down the monthly number you can genuinely cover, not the maximum a lender or admissions office says you qualify for.
• Compare at least three offers. Pricing on the same product varies more between providers than most people expect, and the gap is yours to keep.
• Check the fee schedule and the fine print, not the headline rate — that is where the real cost usually hides.
• Ask what the number looks like in a bad year, not an average one, and make sure the plan still holds.

Frequently asked questions about Dane County, Wisconsin

How we built this page

The page is assembled from the loan-level disclosures lenders must file each year, specifically the CFPB HMDA loan application register (2025 HMDA). Nothing here is modelled from a proprietary black box: every figure traces to a published record, and where we derive a ratio we show both inputs so the arithmetic can be checked.

Be aware of what the data cannot do. Small-area estimates are noisier than headline national ones, every source reports on a delay, and no median describes the outliers that people most often remember.

Where a source revises a figure, the revised value replaces the old one rather than sitting alongside it, so the page always reflects the current official position. If you spot a number that looks wrong, it is worth telling us — corrections get made against the source record, not by guesswork.