Mortgage Approval and Denial Rates in Weber County, Utah (2025 HMDA)

Mortgage denial rates in Weber County, Utah: lenders acted on 13,809 mortgage applications in Weber County, Utah in 2025. 14.1% were denied, 1.8 points below the Utah average.

Applications acted on

13,809

Loans originated

9,067

Denial rate

14.1%

Median loan

$265,000

Weber County against Utah

Weber County denial rate14.1%
Utah denial rate15.9%
Weber County, 202416.2%

Most-reported denial reason locally: Debt-to-income ratio.

Who is applying here

The median applicant income on Weber County, Utah applications was $104,000 against a median requested loan of $265,000, a loan-to-income ratio of 2.23. Lenders generally get uncomfortable past a ratio of about 4.5 once taxes, insurance and existing debt are stacked on top, which is why debt-to-income is the denial reason reported most often nationally.

Census tracts with the highest denial rates

Census tractApplicationsDenial rateMedian loan
4905721070314022.1%$240,000
4905720080018520.5%$255,000
4905720020426919.3%$185,000
4905720120010019.0%$230,000
4905720030124018.8%$215,000
4905721051327918.3%$205,000
4905720020327517.5%$215,000
4905721030340817.2%$305,000
4905720050035316.4%$205,000
4905720060023816.4%$245,000
4905721051222016.4%$150,000
4905720010025216.3%$250,000
4905721080016715.6%$255,000
4905721040413515.6%$345,000
4905721020423215.5%$205,000
4905720020216115.5%$265,000
4905721010129615.2%$485,000
4905720200019315.0%$265,000
4905721070132314.9%$245,000
4905720140015414.9%$315,000

Only tracts with 100 or more applications are shown, so no rate here rests on a handful of files.

See what lenders would approve in Weber County

Local averages are a starting point. Compare offers built around your credit, income and down payment.

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What the mortgage denial rate in Weber County figures actually show

The numbers published here for Weber County, Utah 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 13,809 and denial rate of 14.1%.

They describe the middle of the market, so they are a starting point for applying for a mortgage and nothing more. Anyone quoting you a number will be pricing your file, not the median.

Why the spread around Weber County, Utah matters

Context does most of the work here. A number is only high or low next to something else, so we publish Weber County, Utah and how it sits inside Utah against a wider benchmark on the same measure. Median loan amount of $265,000 and median applicant income of $104,000.

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 Weber County, Utah compares

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

Any measure the source flags as unreliable is dropped rather than smoothed. That is why some pages carry fewer figures than others: the lending market itself is thinly sampled.

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.

Questions people ask about Weber County, Utah

How current is the mortgage denial rate in Weber County data?

The figures come from the 2025 HMDA release of the CFPB HMDA loan application register, and we refresh the page when a new one is published. Public datasets run a reporting lag of several months to two years, so the latest available period is not the same as today.

Why does another site show a different number for Weber County, Utah?

Almost always because it is measuring something slightly different, or using an earlier release. Check the definition and the period before assuming one of the two is wrong; the loan-level disclosures lenders must file each year publish several near-identical measures with meaningfully different scopes.

Can I use this for applying for a mortgage?

As a benchmark, yes — it tells you whether an offer or an asking price is normal for this lending market. As a substitute for your own quote or estimate, no. Applications acted on of 13,809.

Method and limitations

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.

Source: Consumer Financial Protection Bureau, HMDA Data Browser (2025 loan application register). Latest observation 2026-08-23.