Mortgage Approval and Denial Rates in Napa County, California (2025 HMDA)

Mortgage denial rates in Napa County, California: lenders acted on 3,564 mortgage applications in Napa County, California in 2025. 17.1% were denied, 0.3 points below the California average.

Applications acted on

3,564

Loans originated

1,993

Denial rate

17.1%

Median loan

$405,000

Napa County against California

Napa County denial rate17.1%
California denial rate17.4%
Napa County, 202419.8%

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

Who is applying here

The median applicant income on Napa County, California applications was $186,000 against a median requested loan of $405,000, a loan-to-income ratio of 1.89. 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
0605520100418726.7%$205,000
0605520200010125.7%$355,000
0605520140113224.2%$540,000
0605520050111821.2%$465,000
0605520070610020.0%$355,000
0605520060113119.1%$305,000
0605520120014318.2%$275,000
0605520040012118.2%$405,000
0605520100317716.9%$515,000
0605520160211514.8%$675,000
0605520060212714.2%$445,000
0605520050414413.2%$260,000
0605520080410911.9%$445,000
060552008021449.7%$480,000
060552007031349.7%$305,000

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 Napa County

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

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Reading the mortgage denial rate in Napa County data on this page

Start with one distinction: what we publish for Napa County, California 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 3,564 and denial rate of 17.1%.

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.

Turning the Napa County, California data into a decision

Context does most of the work here. A number is only high or low next to something else, so we publish Napa County, California and how it sits inside California against a wider benchmark on the same measure. Median loan amount of $405,000 and median applicant income of $186,000.

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.

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.
  • 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.
  • Check the fee schedule and the fine print, not the headline rate — that is where the real cost usually hides.

Putting Napa County, California next to the alternatives

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

Common questions

How current is the mortgage denial rate in Napa 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 Napa County, California?

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 3,564.

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.