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U.S. vs. Europe: Why Payment Fraud Looks Different

Durango Merchant Services · Payment Risk Intelligence

U.S. vs. Europe:
Why Payment Fraud Looks Different

Payment fraud does not hit every sale the same way. It tends to build up where customers pay most often, where criminals can get around authentication, or where money moves too quickly to recover. That matters when you sell in both the U.S. and Europe. In Europe, you will encounter stronger authentication and a broader mix of payment methods. In the U.S., you will usually carry more responsibility for screening online card payments, managing chargebacks and proving that a disputed sale was legitimate.

Latest cited research through Aug. 2026 Fed + Kansas City Fed ECB / EBA + ECB SPACE European Payments Council
Conceptual illustration of transatlantic payment flows and fraud controls across the U.S. and Europe

1 · Before you expand

Start with what changes for your business

The same fraud number can mean something very different when you enter a new market.

When you sell only in your home market, much of the payment system feels automatic. Your customers recognize the checkout, your fraud rules reflect familiar behavior, and your team knows what a normal dispute looks like. Enter another market and those assumptions can break. A rule that protects you at home can reject too many good customers abroad, while a payment method you rarely use at home may be important to conversion in the new market.

For anyone studying payment fraud

Payment habits, how often fraud happens, how much money is lost, authentication, geography and liability answer different questions. Looking at them separately helps you distinguish a frequent nuisance from a less common but much larger loss—and see when criminals move from one weak point to another.

What to look for: which payment methods create the most exposure, which controls change the risk, and where the losses move when one channel gets harder to attack.

For U.S. merchants looking at Europe

The biggest adjustment is that authentication is built more deeply into checkout. Strong Customer Authentication (SCA) and 3-D Secure (3DS) are not just optional fraud add-ons; they are part of how many European electronic payments normally work.

What to look for: how SCA, local payment habits, euro bank transfers, instant payments and transactions outside the EEA affect both conversion and fraud.

For European merchants looking at the U.S.

In the U.S., you generally carry more responsibility for deciding which online card payments to trust, managing chargebacks and dealing with customer dispute abuse. Strong authentication is available, but it is not required across the market in the same way as the EEA.

What to look for: how fraud rules affect approval rates, good customers and the real cost of disputes.

Fraud controls can also become a conversion problem.

It is easy to treat fraud prevention as a back-office issue, but your customer feels it at checkout. An unfamiliar security challenge, a declined legitimate order or a missing payment method can cost the sale. When you enter a new market, fraud prevention and customer experience need to be designed together.

What changes between markets

The U.S. and Europe face many of the same scams, but the money moves differently.

The U.S. relies more heavily on cards for the number of payments people make. The euro area spreads more activity across cards, bank transfers, direct debits and e-money. In both markets, however, most noncash payment value moves directly between bank accounts—and that concentration is even greater in Europe. Europe also requires Strong Customer Authentication (SCA) for many electronic payments, and fraud results vary enough by country that one “European fraud rate” can hide important differences.

79%U.S. core noncash payments by number were cards in 2024.
57%Euro-area noncash payments by number were cards in H2 2025.
74%U.S. core noncash payment value moved over ACH in 2024.
92%Euro-area noncash payment value moved by credit transfer in H2 2025.
The deeper point: cards create the largest number of day-to-day fraud decisions, but bank transfers carry much more of the money. Europe’s stronger authentication has helped suppress unauthorized card fraud, yet the same market is seeing increasing pressure from payer manipulation, instant-transfer fraud and extra-EEA transactions. The useful question is not simply whether fraud is higher in the U.S. or Europe. It is where your customers pay, how the payment is authenticated, how quickly the money moves, and who is likely to absorb the loss.
Euro areaUsed for ECB payment-market and SPACE consumer-behavior data. It is not synonymous with the EEA.
EEAUsed for EBA/ECB payment-fraud reporting. The EEA includes the EU plus Iceland, Liechtenstein and Norway.
EuropeUsed only as a narrative term. Quantitative claims identify the actual reporting geography and dataset.

How to read these U.S.–Europe comparisons

  • Payment-mix comparisons use the Federal Reserve Payments Study for the U.S. and the ECB’s H2 2025 payment statistics for the euro area. These are used to compare how payments move, not fraud rates.
  • Historical fraud-rate comparisons are limited to cards, where both markets publish fraud relative to card-payment volume or value. The European series is visibly broken in 2022 because the reporting framework changes from ECB SEPA-issued-card reporting to EBA/ECB EU/EEA PSD2 reporting.
  • Broader “total payment fraud” comparisons are only shown as clearly labeled proxies when a fully harmonized U.S. public equivalent does not exist. Where no clean like-for-like comparison is available, the article says so rather than forcing unlike datasets together.

2 · Fraud rates & payment mix

Card fraud: U.S. vs. Europe

U.S. card fraud is still higher than comparable European rates.

The clearest historical card comparison runs from 2014 through 2021. It starts before chip cards were widely used in the U.S. and compares fraud with total card volume in each market. The U.S. Nilson series and the ECB’s SEPA series are not identical, but they are close enough in concept to show the size and direction of the gap. Beginning in 2022, Europe changed its reporting framework, so the newer European points are shown separately rather than pretending the series continued unchanged.

What the pre-chip years show

In 2014, U.S. card fraud was 12.75 basis points of card volume. The comparable SEPA measure was approximately 3.8 basis points, putting the U.S. rate at a little more than three times the European level before mass U.S. EMV usage. In 2015, the U.S. rate was 11.76 basis points versus 4.2 in SEPA. The October 2015 liability shift had begun the U.S. transition, but Nilson reported that EMV-compliant transactions still represented less than 2% of U.S. card volume by year-end. That makes 2014 a clean pre-EMV reference point and 2015 an early-transition year rather than a fully chip-enabled market.

After EMV adoption accelerated, the U.S. rate moved down into roughly the 10–11 basis-point range but never approached the SEPA series. That does not prove EMV had little effect—counterfeit card-present fraud fell materially—but it does show that reducing one fraud channel was not enough to close the overall card-fraud gap. Remote fraud, account-number misuse and other categories continued to keep total U.S. losses elevated.

What is a basis point? A basis point (bp) is one-hundredth of one percentage point. It is commonly used in finance to show small differences in rates without relying on several decimal places. In this chart, basis points express fraud losses as a share of total card volume.
1 bp = 0.01% 10 bp = 0.10% 10 bp = $10 of fraud per $10,000 processed 12.75 bp = about $12.75 of fraud per $10,000 processed
What you should take from the chart: Before the U.S. adopted EMV at scale, its card-fraud rate was already more than three times the SEPA measure. The U.S. rate improved after chip adoption accelerated, but the overall gap remained substantial. That suggests EMV successfully addressed an important component of counterfeit card-present fraud without eliminating the broader structural differences in remote authentication, fraud mix and loss allocation between the markets.

How payments move

Cards are common in both markets. The bigger difference is where the money moves.

Start with a simple question: how do payments move in each market? Federal Reserve data for 2024 and ECB data for H2 2025 show the same broad pattern. Cards account for most transactions by number, especially in the U.S., while bank-account payments carry most of the value. The two datasets use different definitions, so use them to understand market structure—not to calculate a single combined fraud rate.

🇺🇸 United States · 2024 core noncash payments

Consumers, businesses and governments · Federal Reserve Payments Study
Share by transaction count236.6B payments
Cards 79.3% ACH 16.8% Checks 3.9%
Share by payment value$140.01T
ACH 74.3% Checks 17.5% Cards 8.2%

🇪🇺 Euro area · H2 2025 noncash payments

Payment-service activity · European Central Bank
Share by transaction count83.5B payments
Cards 57% Credit transfers 21% Direct debits 14% E-money 6% Other ~1%
Where the value sits€117.8T
Credit transfers ≈92% Direct debits ≈4.8% Cards ≈1.5% Other / rounding ≈1%

The U.S. generates more card decisions; Europe concentrates even more value in transfers

Cards accounted for 79.3% of U.S. core noncash transactions in 2024 versus 57% of euro-area noncash transactions in H2 2025. That does not mean Europeans rarely use cards—47.8 billion euro-area card payments occurred in just six months—but it does mean a European merchant is operating in a more diversified payments environment.

The value side is even more important. ACH carried 74.3% of U.S. core noncash value, while euro-area credit transfers carried about 92% of noncash value. High-value fraud therefore has a different center of gravity from high-frequency fraud in both markets. Card controls dominate checkout operations; transfer controls can dominate size of the loss.

75%Cyprus had the highest card share of national noncash payment count in the euro area in H2 2025.
36%Latvia had the highest credit-transfer share of national noncash payment count.
31%Germany had the highest direct-debit share of national noncash payment count.
Europe is not one checkout market. The country-level ECB data matters as much as the regional average. A U.S. merchant can enter two euro-area countries and encounter meaningfully different payment behavior even though both operate under the same broad PSD2/SCA framework. Once you have meaningful volume, review payment methods, conversion and fraud at the country level instead of relying only on a European average.

What customers actually choose at checkout

U.S. consumer behavior · 2025

In the Federal Reserve Diary, credit cards represented 34.1% of consumer payments and debit cards 31.1%. Cash was 13.7% and ACH 13.1%. Credit and debit together therefore accounted for 65.2% of consumer payment count.

That helps explain why authorization quality, CNP screening and chargebacks occupy so much of the U.S. merchant fraud operation.

Euro-area consumer behavior · 2024

ECB SPACE shows that at physical POS, cash still accounted for 52% of payments by number and cards 39%. Online, cards accounted for 48%, while e-payment solutions represented 29%.

SPACE measures consumer behavior rather than system-wide payment processing, which is why it complements rather than replaces the newer H2 2025 ECB payment statistics.

Comparability: the U.S. FRPS and ECB H2 2025 statistics are both market-level noncash payment datasets, but they are not fully harmonized. The U.S. FRPS excludes wire transfers and uses U.S.-specific payment definitions; the ECB uses euro-area payment-service reporting. The comparison is used to show payment architecture, not to calculate a common fraud rate.

Why U.S. fraud numbers come from several reports

No single U.S. dataset tells the whole fraud story.

There is no single U.S. report that measures every kind of payment fraud. Card-network and Federal Reserve data tell you how fraud compares with payment volume. FTC and FBI reports show losses reported by consumers and businesses. Identity studies estimate a broader consumer problem, while treasury surveys show how often companies encounter fraud. Together they show both scale and concentration: IC3 received more than one million complaints tied to $20.9 billion in reported losses in 2025, while Javelin separately estimated $27.3 billion in traditional identity-fraud losses.

Different reports answer different questions

The IC3 figures imply severe dollar losses among people and businesses that report incidents, but they do not measure fraud per transaction. The Javelin estimate captures a broader identity-fraud population, but it is survey-based rather than a payment-network count. That difference matters because each source answers a different business question.

The 2025 IC3 data are especially notable for Business Email Compromise: roughly $3.05 billion in reported losses came from 24,768 complaints. That is a much smaller event count than total cybercrime complaints, but a very large loss pool, reinforcing the pattern that bank-to-bank and business-payment fraud often produces lower-frequency, higher-severity events than routine card fraud.

1 · Network & payment-rail fraud

Best for: denominator-based rates, card-present vs. CNP fraud, debit losses, payment volume and loss allocation.

2 · Consumer fraud & identity

Best for: scam payment methods, complaint losses, phishing, identity fraud, account takeover and victim impact.

3 · Business & bank-to-bank fraud

Best for: checks, ACH, wires, BEC, corporate controls, suspicious activity and changing ACH fraud-monitoring requirements.

Why there is no single U.S. fraud number: combining unlike reports would create a cleaner-looking number and a less accurate picture. Complaint losses describe victim experience. Network data measure fraud against transaction volume. Treasury surveys show how often businesses are attacked. SAR data describe suspicious activity seen by financial institutions. Each source answers a different question, and the analysis is stronger when those boundaries stay visible.
1.01M
IC3 complaints in 2025
$20.877 billion in reported losses; complaint-based, not a population fraud rate.
$27.3B
traditional U.S. identity-fraud losses in 2025
Javelin estimates 18 million victims; account takeover affected 6 million consumers.
$3.05B
IC3 Business Email Compromise losses in 2025
24,768 BEC complaints reported to IC3.

3 · Authentication & where fraud moves

Chip cards changed where fraud happens

Chip cards made counterfeit fraud harder. Criminals moved elsewhere.