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

Mortgage denial rates in Placer County, California: lenders acted on 18,382 mortgage applications in Placer County, California in 2025. 14.9% were denied, 2.5 points below the California average.

Applications acted on

18,382

Loans originated

11,189

Denial rate

14.9%

Median loan

$395,000

Placer County against California

Placer County denial rate14.9%
California denial rate17.4%
Placer County, 202416.2%

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

Who is applying here

The median applicant income on Placer County, California applications was $168,000 against a median requested loan of $395,000, a loan-to-income ratio of 2.02. 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
0606102320028526.7%$255,000
0606102060815724.2%$315,000
0606102150119321.8%$325,000
0606102200228020.7%$295,000
0606102130448920.4%$385,000
0606102201315220.4%$325,000
0606102190112419.4%$280,000
0606102330029919.1%$305,000
0606102103413119.1%$375,000
0606102132615518.1%$225,000
0606102104712818.0%$260,000
0606102132354417.8%$325,000
0606102120421917.8%$525,000
0606102090826217.6%$395,000
0606102071715417.5%$255,000
0606102290012617.5%$300,000
0606102050216417.1%$355,000
0606102060426216.8%$505,000
0606102310030816.6%$285,000
0606102020030916.5%$325,000

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 Placer 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 Placer County data on this page

Start with one distinction: what we publish for Placer 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 18,382 and denial rate of 14.9%.

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.

Turning the Placer 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 Placer County, California and how it sits inside California against a wider benchmark on the same measure. Median loan amount of $395,000 and median applicant income of $168,000.

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.

That is why a single figure should never carry a decision on its own. Read two or three measures together — what comes in, what housing costs, what is left — and the picture stops being ambiguous.

Where Placer County, California sits against the wider market

Comparison is the fastest way to tell a genuinely unusual lending market from an ordinary one. We benchmark Placer 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.

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.

Questions people ask about Placer County, California

How current is the mortgage denial rate in Placer 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 Placer 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 18,382.

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.

Three limits are worth stating plainly. Survey estimates carry a margin of error that widens as the area gets smaller. Reporting lags mean the most recent period on file is not the present. And a median cannot describe the tails — the cheapest and most expensive ends of any lending market sit outside it by definition.

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.