Estimating the Illicit Flows Asking the Right Questions

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Estimating the Illicit Flows – Asking the Right Questions John Walker CEO, John Walker

Estimating the Illicit Flows – Asking the Right Questions John Walker CEO, John Walker Crime Trends Analysis Principal Research Fellow, Centre for Transnational Crime Prevention, University of Wollongong, Australia John Walker Crime Trends Analysis

Illicit Financial Flows l Put simply, Illicit Financial Flows from Developing Countries consist of

Illicit Financial Flows l Put simply, Illicit Financial Flows from Developing Countries consist of quantities of money derived from crimes committed in those countries. l Official definitions of crime vary between countries, although there is consensus about most forms of crime. l Contentious areas include business practices considered as fraudulent in some countries but not in others (e. g. payments of bribes and false invoicing), and some areas of excise avoidance (e. g. cigarette smuggling). l This paper takes a broad view that acts that would be crimes or illegal business practices in countries with sophisticated legal systems must also be regarded as crimes or illegal business practices in developing countries. l Illicit Financial Flows from Developing Countries are, therefore, part of the broader issue of transnational crime and moneylaundering. John Walker Crime Trends Analysis

Asking the Right Questions about Transnational Crime and Moneylaundering l It is difficult to

Asking the Right Questions about Transnational Crime and Moneylaundering l It is difficult to explain the importance of a problem without quantifying it. l Fin. Cen’s “overriding objective” under the strategic plan is the development of a “viable model for measuring the magnitude of moneylaundering. ” “No assessment of an agency’s or government’s anti-moneylaundering programs can be a true gauge of its effectiveness, unless it is based on an understanding of the breadth of the problem being addressed”. (Fin. CEN Strategic Plan, 2000) l “The government are very keen on amassing statistics. They collect them, add them, raise them to the nth power, take the cube root, and prepare wonderful diagrams. But you must never forget that every one of these figures comes, in the first instance, from the village watchman, who just puts down what he damn pleases”. (Neil Jensen, Director, AUSTRAC, 2005) (English economist Sir Josiah Stamp, 1929) l "Striving for perfection is the greatest stopper there is. . . It's your excuse to yourself for not doing anything. Instead, strive for excellence, doing your best. " (British actor, Sir Laurence Olivier) l “…. . blending dodgy data and heroic assumption and turning them into something particularly useful” (Dutch criminologist, Max Kommer) l “Accuracy is meaningless – credibility is everything”. (Me) John Walker Crime Trends Analysis

The Right Questions about Transnational Crime and Moneylaundering How Much Crime is there ?

The Right Questions about Transnational Crime and Moneylaundering How Much Crime is there ? How Much Profit is there in the Crime ? What Proportion of the Profits is Laundered ? Where does it go for Laundering ? John Walker Crime Trends Analysis How does it impact on Society ?

These are Very important Questions $ 1. How much crime is there around the

These are Very important Questions $ 1. How much crime is there around the world, and where is it based? $ 2. How big are crime profits around the world, and where are they generated? $ 3. What factors make crime more profitable in some countries than others? $ 4. What factors make some countries more attractive to ML than others? $ 5. How much money is laundered each year around the world? $ 6. How much harm is caused by crime and ML, and who suffers most? John Walker Crime Trends Analysis

So who is asking them? Up to the 1980 s l Most countries compile

So who is asking them? Up to the 1980 s l Most countries compile crime statistics. Only measures recorded crime. Accuracy doubts; rigging by police, politicians; counting rules. l Interpol collects crime data from member countries – no consistency, no analysis, not even computerised until the late 1990 s. Only measures recorded crime. l Crime Victims Surveys developed in the 1970 s (USA, UK) to capture data on a common set of definitions and on unrecorded crime. Limited crime types, costly, political risk, little interest in other countries. l In the 1980 s, the U. N. attempted to compile international crime and justice statistics on a common set of definitions – very problematic, poor response, little consistency, poorly resourced. l Transnational crime analysis mostly country-specific, offence specific or confined to studies of mafia, yakuza, drug gangs etc l Transparency International experimenting with corruption and bribery indexes. John Walker Crime Trends Analysis

Measuring the Risks posed by Transnational Crime and Moneylaundering 1988 l l United Nations

Measuring the Risks posed by Transnational Crime and Moneylaundering 1988 l l United Nations Convention against illicit traffic in narcotic drugs and psychotropic substances; EU decides to conduct Europe-wide crime survey. Australia, USA, Canada join in. Questions include “did you report it to police? ” and “how much did it cost you? ” 1989 l FATF Working Group on Statistics and Methods, “Narcotics ML – Assessment of the Scale of the Problem” notes the lack of reliable data to measure ML. 1990 l l l EU Convention on laundering, search, seizure and confiscation of the Proceeds from Crime. FATF’s “Forty Recommendations“ on the prevention of money laundering. U. N. Rome conference agrees to pilot Business Crime survey, including reporting and costs questions. Australia, UK, Netherlands, South Africa. 1991 l EU Directive on prevention of the use of the financial system for purpose of money laundering. 1992 l Estimates of the Costs of Crime in Australia – a model for the U. N. 1995 l Estimates of the Extent of money laundering in Australia – a model for the FATF. 1996 -2000 l UN Office on Drugs and Crime l l l Refinement of International Crime and Justice Surveys, International Crime Victims Surveys, Business Crime Surveys “Global Report on Crime and Justice” attempts to bring together data on economics of transnational crime Attempts to survey the characteristics of organised crime groups in different countries John Walker Crime Trends Analysis

Measuring the Risks posed by Transnational Crime and Moneylaundering June 1997 l FATF creates

Measuring the Risks posed by Transnational Crime and Moneylaundering June 1997 l FATF creates “Ad Hoc Group on Estimating the Magnitude of Money Laundering” Sept 1997 l Ad Hoc Group’s Chair agrees to draft a paper to suggest methodologies to measure ML – calls for papers from member countries. Feb 1998 l Interim report from Chairman l Identifies AUSTRAC study as a landmark study, examines four macro-economic methodologies identified by FINCEN-sponsored studies, and concludes that future studies should be l [a] confined to FATF members, [b] focused on a wide range of crimes that generate criminal proceeds. Dec 1998 l FATF International Meeting of Experts on Estimating the magnitude of ML l Disappointing level of participation l Most countries’ contributions focused on official statistics l Discussion of relationship between underground economic activity and ML l Switzerland attempts to have the work focus on ML from drug crimes, arguing that crimes involving theft, fraud and corruption are “regarded as simply transfers of wealth”. l Finland paper focuses on fraud. l Australian paper presents complete methodology. l Conclusions: l l Need for greater participation from all FATF member countries Initial focus to be on estimating “the supply and demand for illegal drugs” John Walker Crime Trends Analysis

The Rich Countries’ Club fails to Deliver l FATF efforts to “estimate the magnitude

The Rich Countries’ Club fails to Deliver l FATF efforts to “estimate the magnitude of ML” failed on 5 key counts: l l l Focus on incomplete range of crime types – drugs only Focus on incomplete range of illicit drugs - Cocaine, Marihuana, Heroin only Focus on incomplete range of countries - rich north-Atlantic countries only Focus on statistical “purity” Avoidance of “proceeds of crime” logic l Intended to fail…………. ? l Need to provoke more constructive discussion. John Walker Crime Trends Analysis

What next? l Need to provoke discussion, in the absence of any real progress

What next? l Need to provoke discussion, in the absence of any real progress within the UN or FATF. l Can the Australian model be used for other countries around the world? John Walker Crime Trends Analysis

The 1996 Australian Model Identifies Upper and Lower Bounds TC = Total Costs of

The 1996 Australian Model Identifies Upper and Lower Bounds TC = Total Costs of Crime TP = Total Proceeds of Crime KP = Known Proceeds of Crime TE = Total Economy TM = Total Money Laundering TT = Total Terrorist Financing KM = Known Money Laundering KT = Known Terrorist Financing Incoming Money Laundering Costs of crime are part of the Economy. Proceeds of crime are a subset of costs. Some proceeds of crime are laundered, but some laundered money also comes from outside the economy. Terrorist finance may not have criminal origins and is not necessarily laundered. “Known” components are very small subsets of their respective estimated totals. [Not to scale] John Walker Crime Trends Analysis

Estimates of ML in and through Australia (1996) • Estimates based on Costs of

Estimates of ML in and through Australia (1996) • Estimates based on Costs of Crime and Expert Survey Estimated Proceeds of Crime Category/ Implied ML Estimates for Australia ($mill) Min Mid 1 Mid 2 Max Homicide Max $2. 75 m <1 <1 Robbery & Extortion $74. 4 m <1 22 22 45 Other Violence Min $3. 31 m <1 <1 Breaking and Entering $714. 4 m 14 71 71 500 Insurance Fraud $1530 m 38 77 153 306 Business Fraud $375 - $900 m 56 225 540 900 Other Fraud $750 m 38 113 188 600 Motor Vehicle Thefts $533. 6 m 27 53 187 480 8 82 116 347 <1 <1 2 8 Illicit Drugs $1500 m 300 750 1050 1350 Total $5951 - $7661 m 402 1394 2328 4536 Other Thefts $462 Environmental Crime $5. 21 - John Walker Crime Trends Analysis

Importance of Triangulating with Other Data Estimates based on Costs of Crime and Expert

Importance of Triangulating with Other Data Estimates based on Costs of Crime and Expert Survey compared to: • Estimates based on Proceeds of Crime Monitoring • Estimates Based on Understatement of Income Data • Estimates Based on Suspect Financial Transactions • Estimates Based on Flows of Finance through Australian Banks and International Transfers John Walker Crime Trends Analysis

Estimates of ML in and through Australia (1996) Overseas Economy Overseas Money laundered overseas

Estimates of ML in and through Australia (1996) Overseas Economy Overseas Money laundered overseas $US 20, 000 billion $US 100 -500 billion? Costs of Crime The Australian Economy $380 billion P. o. C. Costs of Crime $11 -21 billion ML Overseas Money laundered in Australia $7. 7 billion? Australian Money laundered overseas $5. 5 billion? John Walker Crime Trends Analysis Proceeds of Crime $6 -8 billion ML $1 -4. 5 billion Australian Money laundered in Australia

“Just do it…. . !” l Is there enough basic data to construct a

“Just do it…. . !” l Is there enough basic data to construct a global model? John Walker Crime Trends Analysis

How much Crime around the World? U. N. Crime & Justice Survey John Walker

How much Crime around the World? U. N. Crime & Justice Survey John Walker Crime Trends Analysis

Triangulate with other Data …Banks and Businesses rarely report crime, because they think it

Triangulate with other Data …Banks and Businesses rarely report crime, because they think it will adversely affect their “image” Source: www. kpmg. com John Walker Crime Trends Analysis

Measuring the Proceeds of Crime • “Crime in Australia costs $A 11 -21 bn,

Measuring the Proceeds of Crime • “Crime in Australia costs $A 11 -21 bn, and profits are $A 6 -8 bn per year” (John Walker Crime Trends Analysis, 1996) • "Illegal grey economy in Czech Republic about 10% of GDP” (Hospodárské Noviny, 2 Apr 98) • "$30 bill illegal drugs reach the US from Mexico each year" (Chicago Tribune, 25 Mar 98) • "Shadow business in Russia's economy may range between 25% -50%" (TASS 17 Mar 98) • "UK black economy between 7 -13% of GDP" (Sunday Telegraph, 29 Mar 98) • "$50 -250 bn illegally moved from Russia to Western banks in 5 years" (Russian Interior & Economics Ministries, April 99) • "Illicit drug sales (in the USA) generated up to $48 bn a year in profits" (Congressional hearing, April 99) • "Illegal profits total 2 -5% of world GDP or $1 -3 trillion" (Dow Jones News, 12 Mar 98) John Walker Crime Trends Analysis

About Criminal Income l Crime generates income in all countries l Income from crime

About Criminal Income l Crime generates income in all countries l Income from crime depends on the prevalence of different types of crime and the average proceeds per crime l Sophisticated and organised crimes generate more income per crime than simpler and individual crimes l Crimes that trade on “forbidden goods” like drugs, arms, pornography, slave labour, copyrights, migration visas etc, are particularly profitable l In general, richer countries generate more income per crime than poor ones l Income inequality or corruption may support a rich criminal class even in a poor country l Not all criminal income is laundered - Even criminals have to eat, sleep, drive fast cars, and pay accountants and lawyers If you like algebra. . . . l Total Criminal Profits to be Laundered = Total Population times GNP/Capita times: l 700*(TI Corruption Index)*(Bribery+Embezzlement+Fraud rates) + l 500*Drug Trafficking rate + 100*Theft rate + 65*Burglary rate + l 50* Drug Possession rate + 20*Robbery rate + 0. 2*Homicide rate + l 0. 1*(Assault rate + Sex Assault rate) John Walker Crime Trends Analysis

About Corruption John Walker Crime Trends Analysis

About Corruption John Walker Crime Trends Analysis

Resulting Estimates of Money Generation by Crime Type by World Region $US bill/yr Note:

Resulting Estimates of Money Generation by Crime Type by World Region $US bill/yr Note: the big numbers come from fraud not drugs John Walker Crime Trends Analysis

Assumptions about Laundering Processes l Not all laundered money leaves the country l Some

Assumptions about Laundering Processes l Not all laundered money leaves the country l Some countries' finance sectors provide perfect cover for local launderers l Countries where official corruption is common provide benign environments for launderers l Laundered money seeks countries with attractive banking regimes l Tax Havens l "No questions asked" banking l Countries with stable economies and low risk l Trading, ethnic and linguistic links will determine launderers' preferred destinations l Other things being equal, "hot" money will be attracted to havens with trading, ethnic, linguistic or geographic links to the generating country If you like algebra. . . . l Attractiveness to money launderers = l [GNP per capita] *[3*Bank. Secrecy+Gov. Attitude+SWIFTmember-3*Conflict-Corruption +15] l l Where: GNP per capita is measured in US$, Bank. Secrecy is a scale from 0 (no secrecy laws) to 5 (bank secrecy laws enforced), Gov. Attitude is a scale from 0 (government anti-laundering) to 4 (tolerant of laundering), SWIFTmember is 0 for non-member countries and 1 for members of the SWIFT international fund transfer network, Conflict is a scale from 0 (no conflict situation) to 4 (conflict situation exists), Corruption is the modified Transparency International index (1=low, 5=high corruption), And the constant '15' ensures that all scores are greater than zero. John Walker Crime Trends Analysis

Model Index: Most Attractive to Launderers COUNTRY Score Luxembourg United States Switzerland Cayman Islands

Model Index: Most Attractive to Launderers COUNTRY Score Luxembourg United States Switzerland Cayman Islands Austria Netherlands Liechtenstein Vatican City United Kingdom Singapore Hong Kong Ireland Bermuda Bahamas, Andorra, Brunei, Norway, Iceland, Canada Portugal, Denmark, Sweden, Monaco, Japan, Finland, Germany, New Zealand, Australia, Belgium Bahrain, Qatar, Italy, Taiwan, United Arab Emirates, Barbados, Malta, France, Cyprus Gibraltar, Azores (Spain), Canary Islands, Greenland, Belarus, Spain, Israel 686 634 617 600 497 476 466 449 439 429 397 356 313 250 -299 John Walker Crime Trends Analysis 200 -249 150 -199 100 -149

Triangulation: Attractiveness to ML: Service Exports and Incoming Money Laundering John Walker Crime Trends

Triangulation: Attractiveness to ML: Service Exports and Incoming Money Laundering John Walker Crime Trends Analysis

Triangulation: Attractiveness to ML: Banking Risk Analysis TRANSCRIME “Euroshore” project CRIMINAL LAW ADMINISTRATIVE REGULATIONS

Triangulation: Attractiveness to ML: Banking Risk Analysis TRANSCRIME “Euroshore” project CRIMINAL LAW ADMINISTRATIVE REGULATIONS BANKING LAW COMPANY LAW INTERNATIONAL CO-OPERATION PROVISIONS TRANSCRIME “Euroshore” project 1. Money laundering punished in your criminal system? 2. Legislation provides for a list of crimes as predicate offences? 3. Predicate offences cover all serious crimes? 4. Predicate offences cover all crimes? 5. Provision allowing confiscation of assets for an ML offence? Transcrime & Walker Attractiveness 6. Special investigative bodies or investigations in relation to. Indices ML offences? 1. Is there an anti-ML law in the jurisdiction? 2. Banks covered by the anti-ML law? 3. Other financial institutions covered by the anti-ML law? 4. Non-financial institutions covered by the anti-ML law? 5. Other professions carrying out a financial activity covered by the anti-ML law? 6. ID requirements for the institutions covered by the anti-money law? 7. Suspicious transactions reporting? 8. Central authority (for instance, an FIU) for the collection of suspicious transactions reports? 9. Co-operation between banks or other financial institutions and police authorities? 1. Prohibition to open a bank account without ID of the beneficial owner? 2. Limits to bank secrecy in case of criminal investigation and prosecution? 1. Minimum share capital required for limited liability companies? 2. Prohibition on bearer shares in limited liability companies? 3. Prohibition on legal entities as directors of limited liability companies? 4. Registered office exists for limited liability companies? 5. Any form of annual auditing (at least internal) for limited liability companies? 6. Shareholder register exists for limited liability companies? 1. Extradition (at least of foreigners) for ML offences? 2. Assistance to foreign law enforcement agencies in investigation of ML cases? 3. Law enforcement may respond to a request from a foreign country for financial records? 4. Provision allowing the sharing of confiscated assets for ML offences? 5. The 1988 UN Convention been ratified? John Walker Crime Trends Analysis

…Putting all this information together. . . Model’s Top 10 Origins of Laundered Money

…Putting all this information together. . . Model’s Top 10 Origins of Laundered Money Rank Origin 1 United States 2 Amount ($Usmill/yr) % of Total 1320228 46. 3% Italy 150054 5. 3% 3 Russia 147187 5. 2% 4 China 131360 4. 6% 5 Germany 128266 4. 5% 6 France 124748 4. 4% 7 Romania 115585 4. 1% 8 Canada 82374 2. 9% 9 United Kingdom 68740 2. 4% 10 Hong Kong 62856 2. 2% John Walker Crime Trends Analysis

Model’s Top 10 Flows of Laundered Money Rank Origin Destination Amount ($USmill/yr) 1 United

Model’s Top 10 Flows of Laundered Money Rank Origin Destination Amount ($USmill/yr) 1 United States 528091 18. 5% 2 United States Cayman Islands 129755 4. 6% 3 Russia 118927 4. 2% 4 Italy 94834 3. 3% 5 China 94579 3. 3% 6 Romania 87845 3. 1% 7 United States Canada 63087 2. 2% 8 United States Bahamas 61378 2. 2% 9 France 57883 2. 0% 10 Italy Vatican City 55056 1. 9% John Walker Crime Trends Analysis % of Total

Model’s Top 10 ML Destinations Rank Destination Amount ($Usmill/yr) 1 United States 538145 18.

Model’s Top 10 ML Destinations Rank Destination Amount ($Usmill/yr) 1 United States 538145 18. 9% 2 Cayman Islands 138329 4. 9% 3 Russia 120493 4. 2% 4 Italy 105688 3. 7% 5 China 94726 3. 3% 6 Romania 89595 3. 1% 7 Canada 85444 3. 0% 8 Vatican City 80596 2. 8% 9 Luxembourg 78468 2. 8% 10 France 68471 2. 4% John Walker Crime Trends Analysis % of Total

Model results compared to Press reports "Illegal grey economy in Czech Republic about 10%

Model results compared to Press reports "Illegal grey economy in Czech Republic about 10% of GDP” (Hospodárské Noviny, 2 Apr 98) Model estimates 14. 8% of GDP "$30 bill illegal drugs reach the US from Mexico each year" (Chicago Tribune, 25 Mar 98) Model estimates $26 bill laundered in Mexico each year “More than $2 bill is laundered in Poland each year" (National Bank of Poland, reported on 15 Apr 98) Model estimates $3 bill laundered in Poland each year "Share of shadow business in Russia's economy may range between 25% -50%" (TASS 17 Mar 98) Model estimates money laundering 15% of Russian GDP "Switzerland is implicated in $500 bill of money laundering each year" (Swiss Finance Ministry, reported on 26 Mar 98) Model estimates $59 bill - including only "first-stage" laundering. "UK black economy between 7 -13% of GDP" (Sunday Telegraph, 29 Mar 98) Model estimates total money laundering 7. 4% of UK GDP "$50 -250 bn illegally moved from Russia to Western banks in 5 years" (Russian Interior & Economics Ministries, April 99) Model estimates $28 bn per year from Russia to western banks "Money Laundering in Belarus about 30% of GDP" (European Humanities University, 20 Nov 98) Model estimates 22. 2% of Belarus GDP is laundered money "Illicit funds generated and laundered in Canada per year $5 -17 bn" (Canadian Solicitor General, Sep 1998) Model estimates $22 bill generated and laundered in Canada each year, but also that $63 bn of US crime funds laundered in Canada. "Approximately $2. 7 bn are laundered in Colombia each year" (BBC Monitoring Service, Nov 98) Model estimates $2. 1 bn laundered in Colombia every year "Illicit drug sales (in the USA) generated up to 48 bn a year in profits for laundering" (Congressional hearing, April 99) Model estimates $34. 6 bn generated and laundered by illicit drug trade in USA "Illegal profits total 2 -5% of world GDP or $1 -3 trillion" (Dow Jones News, 12 Mar 98) Model estimates total global money laundering $2. 85 trillion After late 1999, it became apparent that most published estimates were based on my model John Walker Crime Trends Analysis

Triangulation: Shadow Economy, Crime and Money Laundering l l All rich countries have low

Triangulation: Shadow Economy, Crime and Money Laundering l l All rich countries have low % shadow economies “Excess” shadow economy might be an indicator of the proceeds of crime. On this basis, the shadow economy in Australia would produce around AU$20 billion per year, some of which laundered. Many of the richest countries with high % shadow economies have significant transnational crime, illicit drug production and corrupt business practices. Poor countries with low % shadow economies are mostly “command economies” Source: F. Schneider and J. Walker. John Walker Crime Trends Analysis

Triangulation: Cross-border flow Analysis (Raymond Baker, 2005) Global Flows Low ($US bn) High ($US

Triangulation: Cross-border flow Analysis (Raymond Baker, 2005) Global Flows Low ($US bn) High ($US bn) Drugs $120 $200 Counterfeit goods $80 $120 Counterfeit currency $3 $3 Human trafficking $12 $15 Illegal arms trade $6 $10 Smuggling $60 $100 Racketeering $50 $100 $331 $549 Mispricing $200 $250 Abusive transfer pricing $300 $500 Fake transactions $200 $250 Commercial Subtotal $700 $1000 Corruption $30 $50 Grand Total $1061 $1599 Crime Subtotal From “Capitalism’s Achilles Heel”, Baker 2005. Based on a review of studies of transnational crime John Walker Crime Trends Analysis

Triangulation: the Economics of the Global Illicit Drugs Trades l By 2005 UNODC researchers

Triangulation: the Economics of the Global Illicit Drugs Trades l By 2005 UNODC researchers were convinced they had sufficient data in their Annual Reports Questionnaires to develop a global model of the illicit drugs market. l ARQs received from most countries around the world – all continents; rich/poor; developed/less developed countries. l We developed mechanisms for testing the credibility of ARQ data from different countries by comparing them with other ARQ data and other studies. l We developed mechanisms for filling the gaps in the data, by classifying different countries and “interpolating”. l We identified the economic logic of the illicit drugs trades. l We identified ways to deduce the “trade routes” of the illicit drugs trades, by comparing “mentions”, and developed this into a “tracking model” that can explain corruption levels in transit countries. John Walker Crime Trends Analysis

The Economics of the Illicit Drugs Trades John Walker Crime Trends Analysis

The Economics of the Illicit Drugs Trades John Walker Crime Trends Analysis

General Conclusions from the Model l Global money laundering may be as much as

General Conclusions from the Model l Global money laundering may be as much as $US 3 trillion per annum l Business Fraud exceeds illicit drugs as a source of laundered money l Attacking the economics of crime can be an effective transnational crime prevention strategy. l Economists can play a valuable role in monitoring and combating transnational crime and money laundering. l Does AML reduce crime? – Probably not by much. l Does AML reduce ML? – Probably not much, but it diverts it from the finance sectors to more costly avenues. l Does AML help catch criminals? – Probably only a few, but sometimes very important ones. l Does AML protect the economy? – Probably a massive boost to the economy by ensuring that the finance sector is seen as honest, wary and supervised. John Walker Crime Trends Analysis

Model Estimates of ML Flows from Developing Countries Region…………………………………………. Total US$ Million Caribbean 6,

Model Estimates of ML Flows from Developing Countries Region…………………………………………. Total US$ Million Caribbean 6, 452 Central America 2, 525 Central Asia and Transcaucasian countries East Africa 15, 201 3, 559 East and South-East Asia (Excl. Brunei, Japan, Singapore, Rep of Korea) 444, 536 East Europe 176, 963 Near and Middle East /South-West Asia (Excl Israel) North Africa 12, 213 4, 178 Oceania (Exc Australia, NZ) 209 South America 30, 361 South Asia 3, 465 Southeast Europe 129, 512 Southern Africa 14, 321 West and Central Africa 3, 278 Total Developing Countries 846, 773 John Walker Crime Trends Analysis

Model Estimates of ML Flows from Developing Countries E Europe 176963 SE Europe 129512

Model Estimates of ML Flows from Developing Countries E Europe 176963 SE Europe 129512 Caribbean 6452 Central America N & W Africa 4178 2525 South America 30361 15201 Near & Middle East/SW Asia 12213 W & C Africa 3278 C Asia/Transcaucasus E & SE Asia 444536 South Asia 3465 E Africa 3559 Southern Africa 14321 C & S America total $39. 3 bn; Africa total $25. 3 bn; Europe total $306. 5 bn; ME & Asia total $475. 6 bn Global total $846. 8 bn John Walker Crime Trends Analysis Oceania 209