Mortgage Approval and Denial Rates in Wood County, Ohio (2025 HMDA)

How to read the mortgage denial rate in Wood County numbers

Every figure on this page for Wood County, Ohio is a median, not an average, which matters more than it sounds.

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 4,639 and denial rate of 15.4%.

Use them to frame applying for a mortgage rather than to settle it. Your circumstances — credit, timing, the specific offer in front of you — move the outcome more than the local midpoint does.

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 Wood County, Ohio and how it sits inside Ohio against a wider benchmark on the same measure. Median loan amount of $155,000 and median applicant income of $94,000.

Small gaps tell you nothing — sampling error alone can produce them. Large gaps almost always have a physical cause: the age of the housing stock, commuting distance, the balance between renters and owners, or a single large employer setting local pay.

Read the measures as a set. Income on its own says little; income next to housing cost and next to what similar households pay elsewhere says a great deal.

Where Wood County, Ohio sits against the wider market

Comparison is the fastest way to tell a genuinely unusual lending market from an ordinary one. We benchmark Wood County, Ohio against Ohio 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.
• 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.
• 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.

Common questions

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.