Mortgage Approval and Denial Rates in Orange County, New York (2025 HMDA)

Mortgage denial rates in Orange County, New York: lenders acted on 12,257 mortgage applications in Orange County, New York in 2025. 20.4% were denied, 0.8 points above the New York average.

Applications acted on

12,257

Loans originated

7,180

Denial rate

20.4%

Median loan

$265,000

Orange County against New York

Orange County denial rate20.4%
New York denial rate19.6%
Orange County, 202422.3%

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

Who is applying here

The median applicant income on Orange County, New York applications was $127,000 against a median requested loan of $265,000, a loan-to-income ratio of 1.91. 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
3607100030210234.3%$205,000
3607101030012631.0%$210,000
3607101160112930.2%$145,000
3607101120015028.7%$255,000
3607101330212028.3%$405,000
3607101100016126.7%$255,000
3607101350022126.2%$335,000
3607101280018726.2%$175,000
3607100160112326.0%$185,000
3607101430115725.5%$245,000
3607101170217324.9%$205,000
3607101180116324.5%$205,000
3607100160210224.5%$235,000
3607101420117824.2%$330,000
3607101430224723.9%$295,000
3607100150017023.5%$235,000
3607101320210223.5%$175,000
3607101010220122.9%$205,000
3607101060212622.2%$255,000
3607101390018622.0%$355,000

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 Orange 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 Orange County figures actually show

Start with one distinction: what we publish for Orange County, New York 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 12,257 and denial rate of 20.4%.

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.

Why the spread around Orange County, New York matters

Context does most of the work here. A number is only high or low next to something else, so we publish Orange County, New York and how it sits inside New York against a wider benchmark on the same measure. Median loan amount of $265,000 and median applicant income of $127,000.

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.

How Orange County, New York compares

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

Five checks worth running first

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

How current is the mortgage denial rate in Orange 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 Orange County, New York?

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 12,257.

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.