Mortgage Approval and Denial Rates in Brown County, Texas (2025 HMDA)

What the mortgage denial rate in Brown County figures actually show

Start with one distinction: what we publish for Brown County, Texas are medians, not averages.

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 1,039 and denial rate of 22.4%.

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 Brown County, Texas and how it sits inside Texas against a wider benchmark on the same measure. Median loan amount of $165,000 and median applicant income of $91,000.

A difference of a few percent is inside the survey's own margin of error. A difference of a quarter or more is real, and it normally reflects the housing mix, the dominant local industries, or how much of the population is retired rather than working.

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 Brown County, Texas compares

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

Most contradictory statistics you meet online are definition mismatches rather than errors. Gross versus net, occupied versus advertised, applications versus originations: each pair produces a different headline from the same underlying reality.

Where a comparison would mislead, we leave it out instead of filling the gap. A blank means the source did not publish a reliable estimate for that lending market, and inventing one would be worse than showing less.

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.

Common questions

Sources, method and limits

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.

The limits are the usual three: sampling error grows as geography shrinks, published data always trails reality by months or years, and a midpoint says nothing about the extremes at either end of the lending market.

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.