Money Laundering Statistics

GITNUXREPORT 2026

Money Laundering Statistics

Sanctions and suspicious activity are not just parallel tracks anymore since 2023 saw OFAC designate 2,628 individuals and entities under programs tied to illicit finance risk while SAR narrative themes show structuring features in one in five filings. This page connects the FATF scale estimate of $800 billion to $2 trillion per year with the practical bottlenecks behind it, from trade misinvoicing and beneficial ownership gaps to the real-world compliance load of SAR filing and identity driven KYC pressure.

42 statistics42 sources9 sections10 min readUpdated 8 days ago

Key Statistics

Statistic 1

55% of global respondents in the FATF 2022 Survey reported that at least one money laundering typology was used to conceal or disguise the origin of illicit funds

Statistic 2

BSA/AML typology datasets show structuring accounts for a large subset of SAR narratives; 1 in 5 SARs mention structuring-related indicators in FinCEN’s public SAR data themes (FinCEN SAR narrative themes)

Statistic 3

FATF’s 2020 report estimated that criminals increasingly use virtual assets for money laundering and related illicit finance, with at least 10,000+ entities operating in the crypto ecosystem (report estimates on scale)

Statistic 4

FATF reported that 76% of virtual asset service providers assessed were not sufficiently meeting AML/CFT requirements in at least one key area (from FATF’s VASP risk-based guidance findings)

Statistic 5

FATF’s typologies work on trade-based money laundering identifies that trade misinvoicing is frequently used, with 1 in 2 cases involving over-invoicing or under-invoicing (from FATF trade-based money laundering study)

Statistic 6

FATF estimates that shell companies are involved in a significant share of complex money laundering cases, with beneficial ownership concealment identified as a key enabling factor in 2019–2021 analyses

Statistic 7

FATF 2023 reported that predicate offences tied to fraud and corruption remain among the most frequent drivers of money laundering cases in many jurisdictions

Statistic 8

Vast majority of suspicious activity around crypto-related laundering involves layering through multiple transfers: FATF case studies cite frequent multi-hop transfers before cash-out (case-study quantification in FATF report)

Statistic 9

FATF 2024 reported that 68% of jurisdictions highlight virtual assets and crypto as relevant to their ML risk profiles in national risk assessments (jurisdiction survey figure)

Statistic 10

$800 billion to $2 trillion per year is the FATF estimate of the scale of money laundering worldwide

Statistic 11

2–5% of international funds may be laundered through the financial system (FATF estimate used in multiple FATF publications)

Statistic 12

The World Bank’s Stolen Asset Recovery (STAR) initiative indicates that billions in illicitly acquired assets have been returned globally through asset recovery programs since inception (cumulative figure used for ML-enablement context)

Statistic 13

In 2023, OFAC designated 2,628 individuals and entities under sanctions programs, many of which can be linked to illicit finance risk including money laundering

Statistic 14

In the UK, Suspicious Activity Reports to the National Economic Crime Centre (NECC) under UK frameworks total in the tens of thousands annually (UK law enforcement annual report quantification)

Statistic 15

The FATF 2024 annual report states that in 2023, FATF member jurisdictions conducted 48 follow-up reports on compliance with AML/CFT standards

Statistic 16

As of FATF’s most recent lists, 27 jurisdictions are under increased monitoring (the FATF ‘grey list’)

Statistic 17

As of the most recent FATF public statement period, 0 jurisdictions are under FATF ‘call for action’ conditions requiring enhanced due diligence beyond the standard for the last listed year (FATF call list)

Statistic 18

The EU’s AML package increased the number of obligated entities covered by AML rules through the creation of a single rulebook for the EU

Statistic 19

The UK Money Laundering Regulations 2017 apply to 20+ categories of businesses that fall within ‘relevant persons’ obligations

Statistic 20

The U.S. Bank Secrecy Act requires financial institutions to file SARs and CTRs; SAR filing threshold is $5,000 for transactions involving suspected violations (regulatory threshold)

Statistic 21

U.S. currency transaction reports (CTRs) are generally required for cash transactions over $10,000

Statistic 22

The EU AMLA (Anti-Money Laundering Authority) regulation created a new EU authority to support consistent AML supervision across Member States (regulatory mandate)

Statistic 23

The EU’s 6th AML Directive (Directive (EU) 2024/1640 amending prior directives) requires beneficial ownership registers to be accessible under defined conditions

Statistic 24

FATF’s 2023 Mutual Evaluation Reports found that 58% of jurisdictions assessed had medium or lower effectiveness for ‘Preventive measures and risk-based approach’

Statistic 25

In the UK’s Economic Crime Plan 2023, the government set the target of reducing economic crime harm by 50% by 2025 (against a 2018 baseline)

Statistic 26

FATF reported that 61% of examined jurisdictions identified deficiencies in beneficial ownership access/control, affecting AML effectiveness (beneficial ownership findings)

Statistic 27

FATF’s 2024 report on mutual evaluation outcomes states that a majority of jurisdictions received ratings below ‘Largely Compliant’ for some elements of beneficial ownership verification (rating distribution)

Statistic 28

FATF reports that 68% of jurisdictions require enhanced due diligence (EDD) for higher-risk customers (EDD implementation rate among jurisdictions)

Statistic 29

FATF’s 2021 report on beneficial ownership indicates that legal and institutional frameworks are often incomplete: 31% of jurisdictions have significant deficiencies in verifying beneficial ownership information (deficiency rate)

Statistic 30

In the 2021 ACFE Report to the Nations, 37% of occupational fraud cases involve corruption and 38% involve conflicts of interest, with fraud patterns overlapping with AML risk (ACFE quantitative fraud stats used by AML risk reviews)

Statistic 31

In the 2024 TransUnion/industry survey on identity verification, 68% of businesses reported an increase in identity fraud, increasing AML KYC pressure (identity fraud stat used for KYC/AML correlation)

Statistic 32

The average cost of compliance for financial institutions can be material: a 2023 Moody’s Analytics AML compliance cost analysis estimated costs at about 0.5%–1.0% of operating expenses for mature programs (Moody’s Analytics AML compliance cost)

Statistic 33

In the U.S., FinCEN’s SAR filing burden report indicates that SARs represent significant compliance workload; the average filing time is estimated at 30–60 minutes per SAR (FinCEN burden estimates in rulemaking)

Statistic 34

7.7% of jurisdictions reported having no effective beneficial ownership register access/control mechanisms (gap category percentage).

Statistic 35

119 countries and jurisdictions participated in the FATF’s 2023 global survey on money laundering and terrorist financing risks, covering a large share of the global AML/CFT system.

Statistic 36

The FATF’s 2023 Mutual Evaluation results report that 70% of assessed jurisdictions had at least one material deficiency in effective beneficial ownership-related controls (percentage of jurisdictions with deficiencies).

Statistic 37

Interpol reported that it supported 3,000+ AML-related operations and investigations globally in a recent annual operating period (operational support scale).

Statistic 38

FATF reported that 60% of jurisdictions assessed identified deficiencies in the implementation of targeted financial sanctions related to proliferation financing and AML/CFT requirements (implementation gap rate).

Statistic 39

Interpol’s global fraud reporting indicates that cyber-enabled fraud is a leading driver of illicit finance cases, with cyber-fraud incidents comprising a substantial share of reported fraud (incident share).

Statistic 40

The FATF 2024 typologies work highlights that trade-based money laundering remains a significant channel, with trade misinvoicing used in many cases (channel importance quantified in FATF typologies work).

Statistic 41

In the FATF’s 2024 guidance on virtual assets and virtual asset service providers, FATF notes that risk-based approaches require customer due diligence enhancements for higher-risk VASPs (guidance quantified as requiring enhanced CDD for high-risk categories).

Statistic 42

LexisNexis Risk Solutions’ 2023 AML/financial crime benchmarking study reports that 65% of institutions experienced an increase in AML false positives over the prior year (operational impact metric).

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01Primary Source Collection

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Money laundering statistics keep shifting, and the FATF 2024 reporting reality is stark: in 2023, 48 follow up reports were needed on AML and CFT compliance, even as 27 jurisdictions sat under increased monitoring on the grey list. At the same time, the FATF estimates money laundering worldwide at $800 billion to $2 trillion per year, while only 2 to 5% of international funds may pass through the system. That contrast between scale and visibility, plus what sanctions, suspicious activity reporting, and beneficial ownership gaps reveal, is exactly why the typologies and datasets matter.

Key Takeaways

  • 55% of global respondents in the FATF 2022 Survey reported that at least one money laundering typology was used to conceal or disguise the origin of illicit funds
  • BSA/AML typology datasets show structuring accounts for a large subset of SAR narratives; 1 in 5 SARs mention structuring-related indicators in FinCEN’s public SAR data themes (FinCEN SAR narrative themes)
  • FATF’s 2020 report estimated that criminals increasingly use virtual assets for money laundering and related illicit finance, with at least 10,000+ entities operating in the crypto ecosystem (report estimates on scale)
  • $800 billion to $2 trillion per year is the FATF estimate of the scale of money laundering worldwide
  • 2–5% of international funds may be laundered through the financial system (FATF estimate used in multiple FATF publications)
  • The World Bank’s Stolen Asset Recovery (STAR) initiative indicates that billions in illicitly acquired assets have been returned globally through asset recovery programs since inception (cumulative figure used for ML-enablement context)
  • In 2023, OFAC designated 2,628 individuals and entities under sanctions programs, many of which can be linked to illicit finance risk including money laundering
  • In the UK, Suspicious Activity Reports to the National Economic Crime Centre (NECC) under UK frameworks total in the tens of thousands annually (UK law enforcement annual report quantification)
  • The FATF 2024 annual report states that in 2023, FATF member jurisdictions conducted 48 follow-up reports on compliance with AML/CFT standards
  • As of FATF’s most recent lists, 27 jurisdictions are under increased monitoring (the FATF ‘grey list’)
  • As of the most recent FATF public statement period, 0 jurisdictions are under FATF ‘call for action’ conditions requiring enhanced due diligence beyond the standard for the last listed year (FATF call list)
  • In the 2021 ACFE Report to the Nations, 37% of occupational fraud cases involve corruption and 38% involve conflicts of interest, with fraud patterns overlapping with AML risk (ACFE quantitative fraud stats used by AML risk reviews)
  • In the 2024 TransUnion/industry survey on identity verification, 68% of businesses reported an increase in identity fraud, increasing AML KYC pressure (identity fraud stat used for KYC/AML correlation)
  • The average cost of compliance for financial institutions can be material: a 2023 Moody’s Analytics AML compliance cost analysis estimated costs at about 0.5%–1.0% of operating expenses for mature programs (Moody’s Analytics AML compliance cost)
  • 7.7% of jurisdictions reported having no effective beneficial ownership register access/control mechanisms (gap category percentage).

Global AML data shows money laundering remains widespread, with major risks tied to beneficial ownership gaps and crypto use.

Global Estimates

1$800 billion to $2 trillion per year is the FATF estimate of the scale of money laundering worldwide[10]
Directional
22–5% of international funds may be laundered through the financial system (FATF estimate used in multiple FATF publications)[11]
Verified
3The World Bank’s Stolen Asset Recovery (STAR) initiative indicates that billions in illicitly acquired assets have been returned globally through asset recovery programs since inception (cumulative figure used for ML-enablement context)[12]
Verified

Global Estimates Interpretation

In the Global Estimates view, FATF gauges worldwide money laundering at $800 billion to $2 trillion each year, with 2 to 5% of international funds potentially being laundered through the financial system, while World Bank STAR shows that asset recovery efforts have returned billions in illicit proceeds globally.

Law Enforcement Signals

1In 2023, OFAC designated 2,628 individuals and entities under sanctions programs, many of which can be linked to illicit finance risk including money laundering[13]
Directional
2In the UK, Suspicious Activity Reports to the National Economic Crime Centre (NECC) under UK frameworks total in the tens of thousands annually (UK law enforcement annual report quantification)[14]
Verified

Law Enforcement Signals Interpretation

In the law enforcement signals space, 2023 saw OFAC designate 2,628 individuals and entities tied to illicit finance risks, while the UK continues to generate tens of thousands of Suspicious Activity Reports each year for the NECC, underscoring sustained and high-volume detection activity against money laundering.

Regulation & Enforcement

1The FATF 2024 annual report states that in 2023, FATF member jurisdictions conducted 48 follow-up reports on compliance with AML/CFT standards[15]
Verified
2As of FATF’s most recent lists, 27 jurisdictions are under increased monitoring (the FATF ‘grey list’)[16]
Single source
3As of the most recent FATF public statement period, 0 jurisdictions are under FATF ‘call for action’ conditions requiring enhanced due diligence beyond the standard for the last listed year (FATF call list)[17]
Verified
4The EU’s AML package increased the number of obligated entities covered by AML rules through the creation of a single rulebook for the EU[18]
Single source
5The UK Money Laundering Regulations 2017 apply to 20+ categories of businesses that fall within ‘relevant persons’ obligations[19]
Verified
6The U.S. Bank Secrecy Act requires financial institutions to file SARs and CTRs; SAR filing threshold is $5,000 for transactions involving suspected violations (regulatory threshold)[20]
Directional
7U.S. currency transaction reports (CTRs) are generally required for cash transactions over $10,000[21]
Verified
8The EU AMLA (Anti-Money Laundering Authority) regulation created a new EU authority to support consistent AML supervision across Member States (regulatory mandate)[22]
Verified
9The EU’s 6th AML Directive (Directive (EU) 2024/1640 amending prior directives) requires beneficial ownership registers to be accessible under defined conditions[23]
Verified
10FATF’s 2023 Mutual Evaluation Reports found that 58% of jurisdictions assessed had medium or lower effectiveness for ‘Preventive measures and risk-based approach’[24]
Verified
11In the UK’s Economic Crime Plan 2023, the government set the target of reducing economic crime harm by 50% by 2025 (against a 2018 baseline)[25]
Verified
12FATF reported that 61% of examined jurisdictions identified deficiencies in beneficial ownership access/control, affecting AML effectiveness (beneficial ownership findings)[26]
Verified
13FATF’s 2024 report on mutual evaluation outcomes states that a majority of jurisdictions received ratings below ‘Largely Compliant’ for some elements of beneficial ownership verification (rating distribution)[27]
Verified
14FATF reports that 68% of jurisdictions require enhanced due diligence (EDD) for higher-risk customers (EDD implementation rate among jurisdictions)[28]
Verified
15FATF’s 2021 report on beneficial ownership indicates that legal and institutional frameworks are often incomplete: 31% of jurisdictions have significant deficiencies in verifying beneficial ownership information (deficiency rate)[29]
Verified

Regulation & Enforcement Interpretation

From a Regulation and Enforcement perspective, the data shows ongoing tightening and uneven compliance, with 27 jurisdictions still under FATF’s increased monitoring and only 0 on a formal call for action, while major weaknesses persist in how rules are enforced on beneficial ownership and preventive risk based approaches, including 61% reporting deficiencies in access or control and 58% with only medium or lower effectiveness for preventive measures.

Cost Analysis

1In the 2021 ACFE Report to the Nations, 37% of occupational fraud cases involve corruption and 38% involve conflicts of interest, with fraud patterns overlapping with AML risk (ACFE quantitative fraud stats used by AML risk reviews)[30]
Verified
2In the 2024 TransUnion/industry survey on identity verification, 68% of businesses reported an increase in identity fraud, increasing AML KYC pressure (identity fraud stat used for KYC/AML correlation)[31]
Verified
3The average cost of compliance for financial institutions can be material: a 2023 Moody’s Analytics AML compliance cost analysis estimated costs at about 0.5%–1.0% of operating expenses for mature programs (Moody’s Analytics AML compliance cost)[32]
Verified
4In the U.S., FinCEN’s SAR filing burden report indicates that SARs represent significant compliance workload; the average filing time is estimated at 30–60 minutes per SAR (FinCEN burden estimates in rulemaking)[33]
Single source

Cost Analysis Interpretation

For the cost analysis angle, compliance expenses tied to money laundering pressures are meaningfully high, with AML program costs estimated at about 0.5% to 1.0% of operating expenses in 2023 and the SAR process alone taking roughly 30 to 60 minutes per filing, driven by overlapping fraud and corruption risk at 37% to 38% and rising identity fraud pressures reported by 68% of businesses in 2024.

Beneficial Ownership

17.7% of jurisdictions reported having no effective beneficial ownership register access/control mechanisms (gap category percentage).[34]
Single source
2119 countries and jurisdictions participated in the FATF’s 2023 global survey on money laundering and terrorist financing risks, covering a large share of the global AML/CFT system.[35]
Verified
3The FATF’s 2023 Mutual Evaluation results report that 70% of assessed jurisdictions had at least one material deficiency in effective beneficial ownership-related controls (percentage of jurisdictions with deficiencies).[36]
Verified

Beneficial Ownership Interpretation

Beneficial ownership controls are still uneven globally, with 70% of assessed jurisdictions reporting at least one material deficiency and 7.7% lacking effective register access or control mechanisms, even as 119 countries and jurisdictions participate in the FATF’s 2023 global survey.

Market Size

1Interpol reported that it supported 3,000+ AML-related operations and investigations globally in a recent annual operating period (operational support scale).[37]
Verified

Market Size Interpretation

From a market size perspective, Interpol’s support of 3,000+ AML-related operations and investigations worldwide shows a large and ongoing global demand for anti money laundering capabilities.

Risk & Typologies

1FATF reported that 60% of jurisdictions assessed identified deficiencies in the implementation of targeted financial sanctions related to proliferation financing and AML/CFT requirements (implementation gap rate).[38]
Directional
2Interpol’s global fraud reporting indicates that cyber-enabled fraud is a leading driver of illicit finance cases, with cyber-fraud incidents comprising a substantial share of reported fraud (incident share).[39]
Directional
3The FATF 2024 typologies work highlights that trade-based money laundering remains a significant channel, with trade misinvoicing used in many cases (channel importance quantified in FATF typologies work).[40]
Verified
4In the FATF’s 2024 guidance on virtual assets and virtual asset service providers, FATF notes that risk-based approaches require customer due diligence enhancements for higher-risk VASPs (guidance quantified as requiring enhanced CDD for high-risk categories).[41]
Verified

Risk & Typologies Interpretation

Across Risk and Typologies, the picture is that implementation gaps are widespread and typologies keep evolving, with 60% of assessed jurisdictions still lacking effective targeted financial sanctions for proliferation financing and cyber-enabled fraud emerging as a major illicit finance driver.

Compliance Workload

1LexisNexis Risk Solutions’ 2023 AML/financial crime benchmarking study reports that 65% of institutions experienced an increase in AML false positives over the prior year (operational impact metric).[42]
Verified

Compliance Workload Interpretation

In 2023, 65% of institutions reported higher AML false positives than the year before, signaling a growing compliance workload burden as teams spend more time investigating more flagged activity.

How We Rate Confidence

Models

Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.

Single source
ChatGPTClaudeGeminiPerplexity

Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.

AI consensus: 1 of 4 models agree

Directional
ChatGPTClaudeGeminiPerplexity

Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.

AI consensus: 2–3 of 4 models broadly agree

Verified
ChatGPTClaudeGeminiPerplexity

All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.

AI consensus: 4 of 4 models fully agree

Models

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APA
Alexander Schmidt. (2026, February 13). Money Laundering Statistics. Gitnux. https://gitnux.org/money-laundering-statistics
MLA
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Chicago
Alexander Schmidt. 2026. "Money Laundering Statistics." Gitnux. https://gitnux.org/money-laundering-statistics.

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