Key Takeaways
- 35% of consumers said they were victims of fraud involving their bank or payment card within the past year
- 3 in 4 U.S. consumers said they are concerned about card skimming at gas stations
- 31% of consumers reported they changed payment behavior due to skimming concerns (e.g., avoiding certain merchants/terminals)
- 1.1 million suspected skimming events were reported to the U.S. Secret Service between 2014 and 2019
- 1,200+ unique skimming domains were blocked by a U.S. financial institution’s anti-fraud system in 2023
- 24% of skimming cases observed by investigators involved fake bezels or housings used to hide the card reader modifications
- 3.1% of payment breaches were tied to compromises of payment terminals or payment systems, including capture mechanisms like skimming
- 12% of U.S. fraud complaints to IC3 mentioned “credit card” or “payment” fraud in 2023
- 3.5% of all merchant chargebacks in 2023 were classified as card-capture or counterfeit-card related (skimming adjacent)
- 9% of U.S. payment terminals still accept magnetic stripe only (residual exposure for skimming)
- 1 in 5 POS devices can be physically accessed long enough for a skimmer to be installed during a standard shift (physical access window estimate referenced in security guidance)
- 81% of ATM deployments with EMV/anti-tamper features use tamper-detection to mitigate skimmer installation attempts (ATM skimming mitigation guidance)
- $33 billion estimated annual global payment fraud cost in 2024 (broader fraud including physical capture such as skimming)
- 9% of payment processors reported an increase in device-level attacks during 2023–2024 (skimming/device capture trend)
- 3.6% of organizations experienced an increase in fraud related to physical security weaknesses in the 12 months to 2023 (covers skimming-enabling conditions)
Skimming remains widespread, with many consumers changing behavior as attacks target terminals and still cost billions.
Related reading
01 · Category
Consumer Harm5 stats
Consumer Harm Interpretation
02 · Category
Detection & Enforcement3 stats
Detection & Enforcement Interpretation
03 · Category
Prevalence & Scope3 stats
Prevalence & Scope Interpretation
04 · Category
Risk Landscape6 stats
Risk Landscape Interpretation
05 · Category
Market Size1 stats
Market Size Interpretation
More related reading
06 · Category
Industry Trends3 stats
Industry Trends Interpretation
07 · Category
Incident Volumes2 stats
Incident Volumes Interpretation
08 · Category
User Adoption1 stats
User Adoption Interpretation
09 · Category
Mitigation Effectiveness4 stats
Mitigation Effectiveness Interpretation
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Priyanka Sharma. (2026, February 13). Card Skimming Statistics. Gitnux. https://gitnux.org/card-skimming-statistics
Priyanka Sharma. "Card Skimming Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/card-skimming-statistics.
Priyanka Sharma. 2026. "Card Skimming Statistics." Gitnux. https://gitnux.org/card-skimming-statistics.
Sources & references
28 datasets cited across this report · attribution is report-level
+3 additional datasets cited (not shown individually)

