This December 2014 report from Global Financial Integrity, “Illicit Financial Flows from the Developing World: 2003-2012,” finds that developing and emerging economies lost US$6.6 trillion in illicit financial flows from 2003 through 2012, with illicit outflows increasing at an staggering average rate of 9.4 percent per year—roughly twice as fast as global GDP.
This study is GFI’s 2014 annual global update on illicit financial flows from developing economies, and it is the fifth annual update of GFI’s groundbreaking 2008 report, “Illicit Financial Flows from Developing Countries 2002-2006.” This is the first report to include estimates of illicit financial flows from developing countries in 2012—which the study pegs at US$991.2 billion.
[wptab name=’Overview’]
Overview
Primary Findings
US$991.2 billion flowed illicitly out of developing and emerging economies in 2012, the latest year for which data is available. The illegal capital outflows stem from crime, corruption, tax evasion, and other illicit activity.
The report finds that from 2003 to 2012, developing countries lost US$6.6 trillion to illicit outflows. The outflows increased at an average inflation-adjusted rate of 9.4% per year over the decade—significantly outpacing GDP growth.
As a percentage of GDP, Sub-Saharan Africa suffered the biggest loss of illicit capital. Illicit outflows from the region averaged 5.5% of GDP annually. Globally, illicit financial outflows averaged 3.9% of GDP.
Trade Misinvoicing Dominant Channel
The fraudulent misinvoicing of trade transactions was revealed to be the largest component of illicit financial flows from developing countries, accounting for 77.8 percent of all illicit flows—highlighting that any effort to significantly curtail illicit financial flows must address trade misinvoicing.
Global Development Implications
The US$991.2 billion that flowed illicitly out of developing countries in 2012 was greater than the combined total of foreign direct investment (FDI) and net official development assistance (ODA), which these economies received that year.
Illicit outflows were roughly 1.3 times the US$789.4 billion in total FDI, and they were 11.1 times the US$89.7 billion in ODA that these economies received in 2012.
[/wptab]
[wptab name=’Country Rankings’]
Country Rankings
China leads the world over the 10-year period with US$1.25 trillion in illicit outflows, followed by Russia, Mexico, India, and Malaysia. China also had the largest illicit outflows of any country in 2012, amounting to a massive of US$249.57 billion in just that one year.
[wptab1 name=’Rankings (2003-2012)’ set=’1′]
Country Rankings (2003-2012)
By Largest Average Annual Illicit Outflows: 2003-2012
The below table ranks all countries by the highest average annual illicit financial flows over the decade (when data is available).
(in millions of U.S. dollars, nominal)
Rank | Country | Average Annual Illicit Outflows (Where Data Is Available) | Cumulative Illicit Outflows |
---|---|---|---|
1 | China, P.R.: Mainland | 125,242 | 1,252,419 |
2 | Russian Federation | 97,386 | 973,858 |
3 | Mexico | 51,426 | 514,259 |
4 | India | 43,959 | 439,587 |
5 | Malaysia | 39,487 | 394,869 |
6 | Saudi Arabia | 30,862 | 308,620 |
7 | Brazil | 21,710 | 217,103 |
8 | Indonesia | 18,784 | 187,844 |
9 | Thailand | 17,168 | 171,679 |
10 | Nigeria | 15,746 | 157,455 |
11 | United Arab Emirates | 13,530 | 135,300 |
12 | South Africa | 12,214 | 122,145 |
13 | Iraq | 11,137 | 89,098 |
14 | Costa Rica | 9,403 | 94,034 |
15 | Philippines | 9,349 | 93,494 |
16 | Belarus | 8,453 | 84,531 |
17 | Poland | 5,312 | 82,393 |
18 | Panama | 4,848 | 53,124 |
19 | Serbia, Republic of | 4,566 | 48,481 |
20 | Chile | 4,564 | 45,659 |
21 | Brunei Darussalam | 4,299 | 45,639 |
22 | Syrian Arab Republic | 3,768 | 34,396 |
23 | Egypt | 3,768 | 37,681 |
24 | Paraguay | 3,697 | 37,680 |
25 | Venezuela, Republica Bolivariana de | 3,677 | 36,967 |
26 | Turkey | 3,560 | 36,766 |
27 | Honduras | 3,294 | 35,601 |
28 | Trinidad and Tobago | 3,210 | 32,939 |
29 | Vietnam | 2,805 | 32,096 |
30 | Aruba | 2,654 | 28,048 |
31 | Zambia | 2,597 | 25,969 |
32 | Kazakhstan | 2,538 | 25,376 |
33 | Bulgaria | 2,535 | 25,354 |
34 | Latvia | 2,490 | 24,900 |
35 | Lebanon | 2,462 | 24,618 |
36 | Kuwait | 2,460 | 24,596 |
37 | Cote d'Ivoire | 2,406 | 24,061 |
38 | Azerbaijan, Republic of | 2,285 | 22,853 |
39 | Ethiopia | 2,206 | 22,065 |
40 | Lithuania | 2,162 | 21,615 |
41 | Togo | 1,824 | 18,243 |
42 | Ecuador | 1,645 | 16,448 |
43 | Bahamas, The | 1,634 | 16,337 |
44 | Equatorial Guinea | 1,607 | 16,065 |
45 | Hungary | 1,576 | 15,758 |
46 | Algeria | 1,575 | 15,753 |
47 | Congo, Republic of | 1,535 | 15,346 |
48 | Nicaragua | 1,509 | 15,094 |
49 | Croatia | 1,499 | 14,992 |
50 | Argentina | 1,411 | 14,110 |
51 | Bangladesh | 1,316 | 13,161 |
52 | Sudan | 1,290 | 12,904 |
53 | Colombia | 1,212 | 12,124 |
54 | Dominican Republic | 1,205 | 12,050 |
55 | Guatemala | 1,176 | 11,764 |
56 | Qatar | 1,152 | 11,524 |
57 | Libya | 1,078 | 10,783 |
58 | Romania | 1,034 | 10,344 |
59 | Morocco | 998 | 9,977 |
60 | Liberia | 982 | 9,817 |
61 | Bahrain, Kingdom of | 971 | 9,708 |
62 | Chad | 930 | 9,297 |
63 | Peru | 903 | 9,028 |
64 | Botswana | 856 | 8,560 |
65 | Uruguay | 846 | 8,461 |
66 | El Salvador | 788 | 7,875 |
67 | Cameroon | 783 | 7,825 |
68 | Nepal | 754 | 7,542 |
69 | Armenia, Republic of | 750 | 7,499 |
70 | Uganda | 713 | 7,125 |
71 | Oman | 699 | 6,990 |
72 | Myanmar | 682 | 6,817 |
73 | Angola | 631 | 6,312 |
74 | Suriname | 616 | 6,157 |
75 | Namibia | 603 | 6,032 |
76 | Turkmenistan | 602 | 602 |
77 | Malawi | 585 | 5,847 |
78 | Ukraine | 542 | 5,417 |
79 | Macedonia, FYR | 521 | 5,212 |
80 | Lao People's Democratic Republic | 498 | 4,978 |
81 | Tanzania | 462 | 4,618 |
82 | Papua New Guinea | 433 | 4,326 |
83 | Madagascar | 426 | 4,257 |
84 | Georgia | 420 | 4,203 |
85 | Mali | 411 | 4,106 |
86 | Bolivia | 403 | 4,025 |
87 | Swaziland | 371 | 3,710 |
88 | Jamaica | 365 | 3,654 |
89 | Gabon | 358 | 3,584 |
90 | Djibouti | 354 | 3,540 |
91 | Burkina Faso | 341 | 3,408 |
92 | Guinea | 317 | 3,169 |
93 | Ghana | 316 | 3,164 |
94 | Congo, Democratic Republic of | 301 | 3,012 |
95 | Montenegro | 294 | 2,647 |
96 | Guyana | 281 | 2,807 |
97 | Fiji | 273 | 2,726 |
98 | Yemen, Republic of | 271 | 2,712 |
99 | Zimbabwe | 267 | 2,673 |
100 | Rwanda | 260 | 2,603 |
101 | Tajikistan | 252 | 2,520 |
102 | Lesotho | 249 | 2,487 |
103 | Moldova | 232 | 2,323 |
104 | Afghanistan, Islamic Republic of | 222 | 2,223 |
105 | Sri Lanka | 221 | 2,214 |
106 | Vanuatu | 208 | 2,080 |
107 | Jordan | 205 | 2,048 |
108 | St. Vincent and the Grenadines | 179 | 1,790 |
109 | Barbados | 169 | 1,694 |
110 | Mauritius | 153 | 1,532 |
111 | Pakistan | 143 | 1,430 |
112 | Samoa | 140 | 1,397 |
113 | Niger | 137 | 1,365 |
114 | Mongolia | 135 | 1,354 |
115 | Albania | 128 | 1,276 |
116 | Solomon Islands | 126 | 1,256 |
117 | Belize | 126 | 1,255 |
118 | Mozambique | 115 | 1,155 |
119 | Dominica | 97 | 973 |
120 | Haiti | 89 | 890 |
121 | Kenya | 86 | 860 |
122 | Burundi | 75 | 750 |
123 | Maldives | 75 | 746 |
124 | Sierra Leone | 71 | 713 |
125 | Gambia, The | 61 | 606 |
126 | Kyrgyz Republic | 60 | 601 |
127 | Guinea-Bissau | 58 | 583 |
128 | Grenada | 55 | 553 |
129 | St. Lucia | 47 | 468 |
130 | St. Kitts and Nevis | 46 | 462 |
131 | Bhutan | 45 | 312 |
132 | Comoros | 44 | 440 |
133 | Benin | 41 | 413 |
134 | Cambodia | 40 | 400 |
135 | Cabo Verde | 40 | 395 |
136 | Seychelles | 32 | 315 |
137 | Tonga | 28 | 285 |
138 | Tunisia | 28 | 277 |
139 | Bosnia and Herzegovina | 19 | 185 |
140 | Sao Tome and Principe | 18 | 180 |
141 | Central African Republic | 17 | 175 |
142 | Timor-Leste, Dem. Rep. of | 8 | 56 |
143 | Antigua and Barbuda | 8 | 75 |
144 | Kiribati | 2 | 11 |
145 | Senegal | 1 | 15 |
All Developing Countries | 658,713 | 6,587,133 |
[/wptab1]
[wptab1 name=’Rankings (2012)’ set=’1′]
Country Rankings (2012)
By Largest Illicit Outflows: 2012
The below table ranks all countries by the highest illicit financial flows in the year 2012, the latest year for which data is available.
(in millions of U.S. dollars, nominal)
Rank | Country | 2012 Illicit OutFlows |
---|---|---|
1 | China, P.R.: Mainland | 249,567 |
2 | Russian Federation | 122,864 |
3 | India | 94,757 |
4 | Mexico | 59,656 |
5 | Malaysia | 48,931 |
6 | Saudi Arabia | 46,528 |
7 | Thailand | 35,561 |
8 | Brazil | 33,928 |
9 | South Africa | 29,134 |
10 | Costa Rica | 21,553 |
11 | Indonesia | 20,823 |
12 | United Arab Emirates | 19,400 |
13 | Iraq | 14,649 |
14 | Belarus | 13,903 |
15 | Philippines | 9,157 |
16 | Syrian Arab Republic | 8,641 |
17 | Nigeria | 7,922 |
18 | Trinidad and Tobago | 7,414 |
19 | Vietnam | 6,925 |
20 | Lithuania | 6,448 |
21 | Libya | 5,397 |
22 | Panama | 5,341 |
23 | Aruba | 5,293 |
24 | Egypt | 5,093 |
25 | Chile | 5,082 |
26 | Paraguay | 4,811 |
27 | Kazakhstan | 4,469 |
28 | Zambia | 4,272 |
29 | Lebanon | 4,097 |
30 | Poland | 4,067 |
31 | Honduras | 3,872 |
32 | Equatorial Guinea | 3,334 |
33 | Azerbaijan, Republic of | 3,317 |
34 | Venezuela, Republica Bolivariana de | 3,183 |
35 | Ethiopia | 3,117 |
36 | Argentina | 2,955 |
37 | Nicaragua | 2,851 |
38 | Latvia | 2,796 |
39 | Algeria | 2,620 |
40 | Sudan | 2,605 |
41 | Serbia, Republic of | 2,590 |
42 | Qatar | 2,519 |
43 | Cote d'Ivoire | 2,190 |
44 | Brunei Darussalam | 2,063 |
45 | Ecuador | 1,929 |
46 | Botswana | 1,926 |
47 | Turkey | 1,846 |
48 | Bangladesh | 1,780 |
49 | Bahamas, The | 1,763 |
50 | Bulgaria | 1,762 |
51 | Dominican Republic | 1,733 |
52 | Guatemala | 1,588 |
53 | Gabon | 1,542 |
54 | Uruguay | 1,518 |
55 | Kuwait | 1,499 |
56 | Namibia | 1,483 |
57 | Chad | 1,470 |
58 | Colombia | 1,424 |
59 | Bolivia | 1,379 |
60 | Armenia, Republic of | 1,230 |
61 | Burkina Faso | 1,153 |
62 | Papua New Guinea | 1,087 |
63 | Cameroon | 930 |
64 | Lao People's Democratic Republic | 878 |
65 | Congo, Republic of | 876 |
66 | Jordan | 867 |
67 | Morocco | 763 |
68 | Oman | 733 |
69 | Tanzania | 717 |
70 | Croatia | 677 |
71 | Uganda | 633 |
72 | Rwanda | 611 |
73 | Bahrain, Kingdom of | 598 |
74 | Swaziland | 556 |
75 | Malawi | 552 |
76 | Lesotho | 506 |
77 | Guyana | 440 |
78 | Djibouti | 424 |
79 | Macedonia, FYR | 421 |
80 | Liberia | 418 |
81 | Suriname | 413 |
82 | Pakistan | 405 |
83 | Mauritius | 402 |
84 | Sri Lanka | 349 |
85 | Mali | 328 |
86 | Angola | 326 |
87 | Vanuatu | 297 |
88 | Niger | 237 |
89 | Solomon Islands | 210 |
90 | Fiji | 210 |
91 | Mongolia | 195 |
92 | Maldives | 185 |
93 | Madagascar | 178 |
94 | El Salvador | 177 |
95 | Dominica | 171 |
96 | Bhutan | 168 |
97 | Comoros | 165 |
98 | Congo, Democratic Republic of | 148 |
99 | Belize | 144 |
100 | Burundi | 137 |
101 | Samoa | 109 |
102 | Nepal | 106 |
103 | Grenada | 75 |
104 | Guinea-Bissau | 70 |
105 | Albania | 63 |
106 | Montenegro | 62 |
107 | Guinea | 59 |
108 | Tonga | 46 |
109 | St. Kitts and Nevis | 46 |
110 | Haiti | 45 |
111 | Sierra Leone | 43 |
112 | Central African Republic | 43 |
113 | Cambodia | 43 |
114 | Sao Tome and Principe | 42 |
115 | St. Vincent and the Grenadines | 42 |
116 | Gambia, The | 38 |
117 | Cabo Verde | 34 |
118 | Georgia | 23 |
119 | Togo | 0 |
120 | Afghanistan, Islamic Republic of | 0 |
121 | Antigua and Barbuda | 0 |
122 | Barbados | 0 |
123 | Benin | 0 |
124 | Bosnia and Herzegovina | 0 |
125 | Ghana | 0 |
126 | Hungary | 0 |
127 | Iran, Islamic Republic of | 0 |
128 | Jamaica | 0 |
129 | Kenya | 0 |
130 | Kiribati | 0 |
131 | Kosovo, Republic of | 0 |
132 | Kyrgyz Republic | 0 |
133 | Moldova | 0 |
134 | Mozambique | 0 |
135 | Myanmar | 0 |
136 | Peru | 0 |
137 | Romania | 0 |
138 | Senegal | 0 |
139 | Seychelles | 0 |
140 | St. Lucia | 0 |
141 | Tajikistan | 0 |
142 | Timor-Leste, Dem. Rep. of | 0 |
143 | Tunisia | 0 |
144 | Ukraine | 0 |
145 | Yemen, Republic of | 0 |
146 | Zimbabwe | 0 |
N/A | Eritrea | . |
N/A | Mauritania | . |
N/A | Somalia | . |
N/A | Turkmenistan | . |
N/A | Uzbekistan | . |
Footnote:
- (.) indicates no available data, whereas (0) indicates a value of 0.
[/wptab1]
[wptab1 name=’Full Country Data’ set=’1′]
Full Country Data
A full alphabetical listing of illicit financial outflows data is available (with annual breakdowns) for each country on our website here. It can also be downloaded along with the following resources below:
Download all Data from Report (Including all Appendices, Charts, and Tables)
Download Full Country Illicit Financial Flows Data
Download Country Rankings: 2003-2012
Download 2012 Country Rankings
[/wptab1]
[end_wptabset1 set=’1′ ]
[/wptab]
[wptab name=’Policy Recommendations’]
Policy Recommendations
Illicit financial flows from developing countries are facilitated and perpetuated primarily by opacity in the global financial system. This endemic issue is reflected in many well-known ways, such as the existence of tax havens and secrecy jurisdictions, anonymous companies and other legal entities, and innumerable techniques available to launder dirty money—for instance, through misinvoicing trade transactions (often called trade-based money laundering when used to move the proceeds of criminal activity).
While policy environments vary from country to country, there are certain best practices that all countries should adopt and promote at international forums and institutions such as the G20, the G8, the United Nations, the World Bank, the IMF, and the OECD.
Anti-Money Laundering
All countries should, at a minimum, take whatever steps are needed to comply with all of the Financial Action Task Force (FATF) Recommendations to combat money laundering and terrorist financing.1
Regulators and law enforcement officials should strongly enforce all of the anti-money laundering laws and regulations that are already on the books, including through criminal charges and penalties for individuals employed by financial institutions who are culpable for allowing money laundering to occur.
Beneficial Ownership of Legal Entities
All countries and international institutions should address the problems posed by anonymous companies and other legal entities by requiring or supporting meaningful confirmation of beneficial ownership in all banking and securities accounts.
Additionally, information on the true, human owner of all corporations and other legal entities should be disclosed upon formation, updated on a regular basis, and made freely available to the public in central registries. The United Kingdom2 and Denmark3 have made progress on this front recently, with both countries announcing that they would create such public registries of beneficial ownership information–at least for corporations. Other countries should follow their lead. In March, the European Parliament voted overwhelmingly in favor of directing European Union member states to create public registries of beneficial ownership as part of revisions to the European Union’s Anti-Money Laundering Directive (AMLD),4 but final adoption of the AMLD is still subject to negotiation and approval by the European Council and Commission, which have both been reticent to approve the transparency measure.5 GFI urges the EU Council and the EU Commission to quickly approve the public registry requirement as part of the AMLD.
Automatic Exchange of Financial Information
All countries should actively participate in the global movement toward the automatic exchange of financial information as endorsed by the G20 and the OECD. 89 countries have committed to implementing the OECD/G20 standard on automatic information exchange by the end of 2018, significant progress since the publication of the 2013 IFF Update. Still, the G20 and the OECD need to do a better job at ensuring that developing countries—especially least developed countries—are able to participate in the process and are provided the necessary technical assistance to benefit from it.
Country-by-Country Reporting
All countries should require multinational corporations to publicly disclose their revenues, profits, losses, sales, taxes paid, subsidiaries, and staff levels on a country-by-country basis, as a means of detecting and deterring abusive tax avoidance practices.
Curtailing Trade Misinvoicing
Trade misinvoicing accounts for a substantial majority—77.8 percent—of illicit financial flows over the period of this study, meaning that curbing trade misinvoicing must be a major focus for policymakers around the world.
Governments should significantly boost customs enforcement by equipping and training officers to better detect the intentional misinvoicing of trade transactions.
Trade transactions involving tax haven jurisdictions should be treated with the highest level of scrutiny by customs, tax, and law enforcement officials, given the greater potential for abuse.
UN Sustainable Development Goals/Financing for Development Conference
The coming year presents a spectacular opportunity to tackle the scourge of illicit financial flows. The Millennium Development Goals (MDGs) are set to expire in 2015, and, in September, the United Nations will formally transition to its post-2015 development agenda, known as the Sustainable Development Goals (SDGs)6, which will set the global development agenda for the next 15 years. With developing and emerging economies hemorrhaging roughly US$1 trillion in illicit financial flows per year—as this report demonstrates—there may be no better area on which to focus the global development agenda in order to achieve sustainable results. This is why GFI is calling on the United Nations to adopt a clear and concise target stating:
“By 2030, reduce illicit financial flows related to trade misinvoicing by 50 percent.”
Such a narrowly defined goal—focused on trade misinvoicing, the most common method for moving money illicitly, as this report shows—will target more than three quarters of global illicit financial outflows from developing economies. Similar language should be included in the outcome document of the Financing for Development Conference in July 2015.
References
- Financial Action Task Force. The FATF Recommendations: International Standards on Combating Money Laundering and the Financing of Terrorism & Proliferation. Paris, France: FATF, Feb. 2012. http://www.fatf-gafi.org/topics/fatfrecommendations/documents/fatf-recommendations.html.
- Government of the United Kingdom. Tough Action Promised on Hidden Company Owners. London, England: The Government of the United Kingdom, April 21, 2014. https://www.gov.uk/government/news/tough-action-promised-on-hidden-company-owners.
- Christensen, Johan and Anne Skjerning. “Regeringen vil åbne det nye ejerregister for alle.” Dagbladet Børsen (Copenhagen, Denmark), November 7, 2014. http://borsen.dk/nyheder/avisen/artikel/11/97562/artikel.html.
- European Parliament. Parliament Toughens Up Anti-Money Laundering Rules. Brussels, Belgium: The European Parliament, March 11, 2014. http://www.europarl.europa.eu/news/en/news-room/content/20140307ipr38110/html/Parliament-toughens-up-anti-money-laundering-rules.
- Global Financial Integrity (GFI). GFI Praises Denmark Commitment to Crack Down on Anonymous Companies with Public Registry. Washington, DC: GFI, Nov. 7, 2014. https://gfintegrity.org/press-release/gfi-praises-denmark-commitment-crack-anonymous-companies-public-registry/.
- Open Working Group on Sustainable Development Goals. “Goal 16.4.” Open Working Group proposal for Sustainable Development Goals. New York: United Nations, July 19, 2014. http://sustainabledevelopment.un.org/sdgsproposal.html.
[/wptab]
[wptab name=’Read Report’]
Read the Report
In addition to downloading the full PDF of the study, the full report can be read, shared, and embedded via the Scribd window below.
[/wptab]
[wptab name=’About’]
About
About Global Financial Integrity
Founded in 2006, Global Financial Integrity (GFI) is a non-profit, Washington, DC-based research and advisory organization, which produces high-caliber analyses of illicit financial flows, advises developing country governments on effective policy solutions, and promotes pragmatic transparency measures in the international financial system as a means to global development and security. Learn more…
About the Authors
Dev Kar is the Chief Economist at Global Financial Integrity. Prior to joining GFI, Dr. Kar was a Senior Economist at the International Monetary Fund (IMF). During a career spanning nearly 32 years at the IMF, he worked on a wide variety of macroeconomic and statistical issues, both at IMF headquarters in Washington and on different types of IMF missions to member countries (technical assistance, Article IV Consultations with member countries, and Use of IMF Resources). He has published a number of articles on macroeconomic and statistical issues both inside and outside the IMF. Dr. Kar has a Ph.D. in Economics (Major: Monetary Economics) and an M. Phil (Economics) (Major: International Economics) from the George Washington University as well as an M.S. (Computer Science) from Howard University (Major: Database Management Systems). His undergraduate degree in Physics is from St. Xavier’s College, University of Calcutta, India.
Joseph Spanjers is a Junior Economist at Global Financial Integrity. Prior to joining GFI, Joseph conducted international trade research in Minneapolis and supervised a State Department scholarship program in Morocco. Joseph received a BS in Economics and a BA in Global Studies from the University of Minnesota.
Acknowledgements
The authors wish to thank and acknowledge Michiel Bogaert (Intern), Shunquin Chen (Intern), Christine Clough (Program Manager), Clark Gascoigne (Communications Director), Maximilian Kremer (Intern), Channing May (Policy Research Assistant), and Joshua Simmons (Policy Counsel) for their contributions to the production of this report.
GFI and the authors would also like to acknowledge Gil Leigh of Modern Media for his contributions to the layout and design of the publication.
[/wptab]
[end_wptabset skin=”gray” ]