The Organized Crime Index | ENACT
Year:
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Ranking by

Illicit trade in excisable goods

Main Index Scores
Complementary Data
Country
Illicit trade in excisable goods
Criminality
Criminal markets
Criminal actors
Resilience
Population
Area (KMĀ²)
GDP Total US$ Mi
1 Afghanistan
7.10
7.00
7.20
1.50
40,099,462
652,860
14,786.86
2 Ethiopia
5.68
6.07
5.30
4.75
120,283,026
1,136,240
111,271.00
2 Iran
7.03
7.37
6.70
3.13
87,923,432
1,745,150
359,713.00
4 Moldova
5.60
5.20
6.00
3.92
2,615,199
33,850
13,679.22
4 Montenegro
5.90
5.20
6.60
4.75
619,211
13,810
5,861.27
4 Paraguay
7.52
6.73
8.30
3.42
6,703,799
406,752
39,495.43
7 Bolivia
4.95
5.00
4.90
4.83
12,079,472
1,098,580
40,408.21
7 Eritrea
3.97
3.93
4.00
2.33
3,620,312
121,630
No Data
7 Jamaica
5.80
4.90
6.70
5.42
2,827,695
10,990
14,657.59
7 Laos
6.12
6.33
5.90
3.46
7,425,057
236,800
18,827.15
7 Libya
6.93
6.57
7.30
1.54
6,735,277
1,759,540
42,817.47
7 Malaysia
6.23
6.67
5.80
5.92
33,573,874
330,241
372,981.00
7 Mali
5.93
6.47
5.40
2.38
21,904,983
1,240,190
19,140.46
7 Mexico
7.57
8.13
7.00
4.21
126,705,138
1,964,375
1,272,840.00
7 Myanmar
8.15
7.70
8.60
1.63
53,798,084
676,590
65,091.75
7 Nigeria
7.28
7.37
7.20
5.79
213,401,323
923,770
440,834.00
7 Panama
6.98
6.67
7.30
4.67
4,351,267
75,320
63,605.10
7 South Africa
7.18
6.87
7.50
5.63
59,392,255
1,219,090
No Data
7 Tanzania
6.20
6.40
6.00
4.13
63,588,334
947,300
67,841.05
7 Thailand
6.18
6.77
5.60
4.79
71,601,103
513,120
505,947.00
7 Turkey
7.03
6.77
7.30
3.38
84,775,404
785,350
819,035.00
7 Vietnam
6.55
6.50
6.60
4.79
97,468,029
331,340
366,138.00
23 Algeria
4.88
5.17
4.60
4.38
44,177,969
2,381,741
163,044.00
23 Argentina
5.00
4.50
5.50
5.96
45,808,747
2,780,400
487,227.00
23 Burkina Faso
5.92
5.83
6.00
3.46
22,100,683
274,220
19,737.62
23 Djibouti
4.65
4.30
5.00
4.38
1,105,557
23,200
3,482.99
23 Indonesia
6.85
6.60
7.10
4.25
273,753,191
1,916,907
1,186,090.00
23 Iraq
7.13
6.27
8.00
3.21
43,533,592
435,052
207,889.00
23 Lebanon
7.10
6.30
7.90
3.46
5,592,631
10,450
23,131.94
23 Russia
6.87
6.83
6.90
3.79
143,449,286
17,098,250
1,778,780.00
23 Spain
5.90
5.70
6.10
6.75
47,415,750
505,970
1,427,380.00
23 Syria
7.07
6.43
7.70
1.92
21,324,367
185,180
No Data
23 Venezuela
6.72
6.03
7.40
1.88
28,199,867
912,050
No Data
23 Zimbabwe
5.47
5.03
5.90
3.13
15,993,524
390,760
22,147.63
35 Angola
5.58
5.17
6.00
4.50
34,503,774
1,246,700
67,404.29
35 Belarus
5.87
5.33
6.40
3.25
9,340,314
207,610
68,205.38
35 Burundi
4.87
4.63
5.10
2.17
12,551,213
27,830
2,779.81
35 China
6.37
6.53
6.20
5.67
1,412,360,000
9,600,013
17,734,100.00
35 Costa Rica
5.53
5.37
5.70
5.63
5,153,957
51,100
64,282.44
35 Ecuador
7.07
6.73
7.40
4.88
17,797,737
256,370
106,166.00
35 India
5.75
6.70
4.80
5.42
1,407,563,842
3,287,260
3,176,300.00
35 Kenya
7.02
6.93
7.10
5.33
53,005,614
580,370
110,347.00
35 Latvia
3.90
4.50
3.30
7.58
1,884,490
64,590
39,853.50
35 Malawi
4.48
4.77
4.20
4.58
19,889,742
118,480
12,626.72
35 Mauritania
4.38
4.27
4.50
3.13
4,614,974
1,030,700
9,996.25
35 Morocco
4.80
5.10
4.50
4.63
37,076,584
446,550
142,866.00
35 Pakistan
6.03
6.27
5.80
3.96
231,402,117
796,100
348,263.00
35 Philippines
6.63
6.57
6.70
4.21
113,880,328
300,000
394,086.00
35 Romania
4.58
5.27
3.90
6.00
19,119,880
238,400
284,088.00
35 Senegal
5.52
5.53
5.50
5.79
16,876,720
196,710
27,625.39
35 Uganda
6.55
6.40
6.70
3.88
45,853,778
241,550
40,529.79
35 United Kingdom
5.75
5.50
6.00
7.54
67,326,569
243,610
3,131,380.00
35 Yemen
6.57
5.63
7.50
1.75
32,981,641
527,970
9,412.03
54 Bosnia and Herzegovina
5.85
5.30
6.40
3.88
3,270,943
51,210
23,365.36
54 Botswana
4.35
4.40
4.30
5.46
2,588,423
581,730
17,614.79
54 Cambodia
6.85
6.70
7.00
3.63
16,589,023
181,040
26,961.06
54 El Salvador
5.92
5.43
6.40
3.21
6,314,167
21,040
28,736.94
54 France
5.82
5.93
5.70
6.96
67,749,632
549,087
2,957,880.00
54 Greece
5.35
4.70
6.00
5.17
10,641,221
131,960
214,874.00
54 Nicaragua
5.72
5.23
6.20
2.08
6,850,540
130,370
14,013.02
54 Poland
4.48
4.97
4.00
5.88
37,747,124
312,710
679,445.00
54 Slovakia
4.72
4.73
4.70
5.29
5,447,247
49,030
116,527.00
54 Togo
5.23
4.77
5.70
4.50
8,644,829
56,790
8,413.20
54 Tunisia
4.45
5.00
3.90
4.50
12,262,946
163,610
46,686.74
54 United Arab Emirates
6.37
7.03
5.70
5.13
9,365,145
98,648
415,022.00
66 Andorra
3.22
2.73
3.70
7.96
79,034
470
3,330.28
66 Australia
4.00
4.30
3.70
7.38
25,688,079
7,741,220
1,552,670.00
66 Benin
5.32
5.43
5.20
3.50
12,996,895
114,760
17,144.92
66 Brazil
6.77
6.93
6.60
4.92
214,326,223
8,515,770
1,608,980.00
66 Bulgaria
5.65
5.40
5.90
5.33
6,877,743
111,000
84,056.31
66 Cameroon
6.27
6.23
6.30
3.17
27,198,628
475,440
45,338.28
66 Cyprus
4.43
3.97
4.90
4.46
1,244,188
9,250
28,407.87
66 Estonia
4.25
4.20
4.30
7.88
1,330,932
45,340
37,191.17
66 Guatemala
6.60
6.10
7.10
4.08
17,109,746
108,890
85,985.75
66 Haiti
5.93
5.77
6.10
2.46
11,447,569
27,750
20,944.39
66 Ireland
5.08
5.17
5.00
7.33
5,033,165
70,280
504,183.00
66 Israel
4.85
5.00
4.70
6.08
9,364,000
22,070
488,526.55
66 Jordan
4.93
4.87
5.00
5.58
11,148,278
89,318
45,744.27
66 Lithuania
3.90
3.80
4.00
7.29
2,800,839
65,290
66,445.26
66 Niger
5.70
5.70
5.70
3.46
25,252,722
1,267,000
14,915.00
66 Norway
3.75
4.10
3.40
7.92
5,408,320
624,499
482,175.00
66 Papua New Guinea
5.72
5.33
6.10
3.29
9,949,437
462,840
26,594.31
66 Serbia
6.22
5.73
6.70
4.96
6,834,326
84,990
63,082.05
66 Somalia
6.13
5.27
7.00
1.79
17,065,581
637,660
7,628.00
66 South Sudan
6.32
5.13
7.50
1.88
10,748,272
646,883
No Data
66 Timor-Leste
4.08
3.67
4.50
3.83
1,320,942
14,870
3,621.22
66 Trinidad and Tobago
5.20
4.80
5.60
5.33
1,525,663
5,130
24,460.20
66 Turkmenistan
4.40
4.40
4.40
2.21
6,341,855
488,100
No Data
66 Ukraine
6.48
6.27
6.70
4.54
43,792,855
603,550
200,086.00
66 United States
5.67
5.83
5.50
7.13
331,893,745
9,831,510
23,315,100.00
66 Uzbekistan
4.95
4.60
5.30
3.88
34,915,100
448,924
69,238.90
66 Zambia
4.73
4.47
5.00
4.54
19,473,125
752,610
419,015.00
93 Cabo Verde
4.28
3.97
4.60
6.58
587,925
4,030
1,936.17
93 Central African Republic
6.75
5.60
7.90
1.79
5,457,154
622,980
2,516.50
93 Chad
5.50
5.10
5.90
2.42
17,179,740
1,284,000
11,779.98
93 Colombia
7.75
7.30
8.20
5.63
51,516,562
1,140,619
314,464.00
93 Dominican Republic
5.02
5.13
4.90
4.79
11,117,873
48,670
94,243.45
93 Eswatini
4.38
3.87
4.90
3.29
1,192,271
17,360
4,743.34
93 Fiji
4.15
4.30
4.00
5.42
924,610
18,270
4,296.30
93 Germany
5.33
5.47
5.20
7.50
83,196,078
357,590
4,259,930.00
93 Ghana
5.80
6.00
5.60
5.46
32,833,031
238,530
77,594.28
93 Guinea
4.58
4.77
4.40
3.13
13,531,906
245,860
16,091.82
93 Liberia
5.50
5.40
5.60
3.25
5,193,416
111,370
3,509.00
93 Mozambique
6.20
5.90
6.50
3.29
32,077,072
799,380
15,776.76
93 Nepal
6.57
6.03
7.10
4.00
30,034,989
147,180
36,288.83
106 Azerbaijan
4.80
4.10
5.50
3.96
10,137,750
86,600
54,622.18
106 Bahrain
4.95
5.40
4.50
5.42
1,463,265
785
38,868.66
106 Belgium
4.43
5.17
3.70
7.04
11,592,952
30,530
594,104.00
106 Belize
4.87
4.43
5.30
3.29
400,031
22,970
2,491.50
106 Bhutan
3.90
3.90
3.90
4.71
777,486
38,390
2,539.55
106 Brunei
2.85
3.30
2.40
4.58
445,373
5,770
14,006.57
106 Chile
5.18
5.07
5.30
6.17
19,493,184
756,700
317,059.00
106 Comoros
3.92
3.73
4.10
2.38
821,625
1,861
1,296.09
106 Congo, Dem. Rep.
7.35
6.20
8.50
2.38
95,894,118
2,344,860
55,350.97
106 Croatia
5.15
4.90
5.40
5.92
3,899,000
88,070
68,955.08
106 Czech Republic
4.68
4.87
4.50
6.42
10,505,772
78,871
281,778.00
106 Denmark
4.02
4.33
3.70
8.13
5,856,733
42,920
398,303.00
106 Guinea-Bissau
5.10
4.60
5.60
2.58
2,060,721
36,130
1,638.52
106 Guyana
5.97
5.13
6.80
4.04
804,567
214,970
8,044.50
106 Honduras
7.05
6.00
8.10
4.08
10,278,345
112,490
28,488.67
106 Hungary
4.62
4.73
4.50
4.88
9,709,891
93,030
181,848.00
106 Italy
6.22
5.73
6.70
6.46
59,109,668
302,068
2,107,700.00
106 Kazakhstan
4.47
4.33
4.60
4.54
19,000,988
2,724,900
197,112.00
106 Korea, DPR
4.82
5.73
3.90
1.79
25,971,909
120,540
No Data
106 Kyrgyzstan
5.32
4.63
6.00
3.83
6,691,800
199,950
8,543.42
106 Madagascar
5.58
5.27
5.90
3.33
28,915,653
587,295
14,472.60
106 Malta
5.00
4.30
5.70
5.13
518,536
320
17,364.04
106 Micronesia (Federated States of)
3.00
3.00
3.00
5.88
113,131
700
404.03
106 Nauru
2.05
2.20
1.90
5.00
12,511
20
133.22
106 Netherlands
4.97
5.23
4.70
7.46
17,533,044
41,540
1,012,850.00
106 Palau
2.70
2.90
2.50
5.33
18,024
460
217.80
106 Portugal
4.88
4.67
5.10
6.50
10,325,147
92,230
253,663.00
106 Qatar
5.45
5.70
5.20
5.42
2,688,235
11,490
179,677.00
106 Rwanda
3.60
4.00
3.20
5.54
13,461,888
26,340
11,070.36
106 Samoa
2.43
2.97
1.90
5.83
220,000
2,840
843.84
106 Saudi Arabia
6.23
6.57
5.90
4.00
35,950,396
2,149,690
833,541.00
106 Solomon Islands
4.40
3.70
5.10
5.08
707,851
28,900
1,631.49
106 Suriname
4.77
4.53
5.00
3.04
612,985
163,820
2,984.71
106 Switzerland
4.87
4.63
5.10
7.04
8,703,405
41,290
800,640.00
106 Tonga
3.70
3.50
3.90
5.29
106,017
750
469.23
141 Armenia
2.82
2.93
2.70
5.71
2,790,974
29,740
13,861.41
141 Austria
4.13
4.17
4.10
7.50
8,955,797
83,879
480,368.00
141 Bangladesh
5.12
5.03
5.20
4.42
169,356,251
147,570
416,265.00
141 Canada
3.88
3.87
3.90
7.21
38,246,108
9,879,750
1,988,340.00
141 CĆ“te d'Ivoire
6.02
5.93
6.10
5.13
27,478,249
322,460
70,043.19
141 Egypt
5.05
5.10
5.00
3.83
109,262,178
1,001,450
404,143.00
141 Lesotho
3.92
3.43
4.40
3.92
2,281,454
30,360
2,496.13
141 Marshall Islands
2.52
2.73
2.30
5.79
42,050
180
259.54
141 Namibia
4.30
4.10
4.50
4.54
2,530,151
824,290
12,607.44
141 North Macedonia
5.03
4.87
5.20
5.29
2,065,092
25,710
13,825.05
141 Oman
4.40
4.90
3.90
5.21
4,520,471
309,500
88,191.98
141 Sierra Leone
4.95
4.60
5.30
4.04
8,420,641
72,300
4,042.24
141 Sri Lanka
4.92
4.83
5.00
3.42
22,156,000
65,610
88,927.26
141 Sweden
4.70
4.60
4.80
7.46
10,415,811
528,861
635,664.00
141 Uruguay
3.22
3.33
3.10
7.50
3,426,260
176,220
59,319.48
156 Albania
5.17
4.83
5.50
5.13
2,811,666
28,750
18,255.79
156 Congo, Rep.
4.78
4.47
5.10
3.25
5,835,806
342,000
13,366.23
156 Cuba
3.37
3.63
3.10
5.38
11,256,372
109,880
No Data
156 Finland
2.98
3.27
2.70
8.63
5,541,017
338,460
297,302.00
156 Gabon
4.85
4.60
5.10
3.25
2,341,179
267,670
20,216.84
156 Kiribati
2.45
2.60
2.30
4.33
128,874
810
207.03
156 Korea, Rep.
4.43
3.57
5.30
8.08
51,744,876
100,410
1,810,960.00
156 Kuwait
5.20
5.70
4.70
5.54
4,250,114
17,820
No Data
156 Singapore
3.47
3.93
3.00
7.83
5,453,566
728
396,987.00
156 St. Vincent and the Grenadines
3.08
2.67
3.50
5.38
104,332
390
904.18
156 Tajikistan
5.45
4.80
6.10
2.58
9,750,064
141,380
8,746.27
156 Tuvalu
1.62
1.93
1.30
6.08
11,204
30
63.10
168 Gambia
4.53
4.67
4.40
5.17
2,639,916
11,300
2,038.42
168 Georgia
3.60
3.60
3.60
5.25
3,708,610
69,700
18,629.37
168 Luxembourg
2.85
2.90
2.80
7.50
640,064
2,590
85,506.24
168 Sudan
6.37
5.23
7.50
2.71
45,657,202
1,878,000
34,326.06
168 Vanuatu
2.43
2.67
2.20
5.13
319,137
12,190
956.33
173 Equatorial Guinea
4.38
3.57
5.20
2.21
1,634,466
28,050
12,269.39
173 Japan
4.28
3.87
4.70
7.38
125,681,593
377,974
4,940,880.00
173 Maldives
4.27
3.53
5.00
4.08
521,457
300
5,405.58
173 Mauritius
4.37
4.13
4.60
5.54
1,266,060
2,040
11,529.04
173 Mongolia
4.12
3.83
4.40
5.21
3,347,782
1,564,116
15,286.44
173 New Zealand
4.08
3.77
4.40
7.88
5,122,600
267,710
249,886.00
173 Peru
6.40
6.20
6.60
4.38
33,715,471
1,285,220
223,249.00
173 Seychelles
3.90
3.50
4.30
5.21
99,258
460
1,454.46
173 Slovenia
4.37
4.03
4.70
6.04
2,108,079
20,480
61,748.59
173 St. Kitts and Nevis
3.52
2.83
4.20
5.00
47,606
260
860.84
183 Bahamas
3.75
3.60
3.90
5.50
407,906
13,880
11,208.60
183 Dominica
2.63
2.67
2.60
5.17
72,412
750
554.18
183 Sao Tome and Principe
1.70
1.70
1.70
4.92
223,107
960
526.65
183 St. Lucia
3.53
2.67
4.40
5.58
179,651
620
1,691.28
187 Antigua and Barbuda
2.98
2.67
3.30
4.58
93,219
440
1,471.13
187 Barbados
3.07
2.43
3.70
6.13
281,200
430
4,843.80
187 Grenada
2.93
2.67
3.20
5.13
124,610
340
1,122.81
187 Iceland
3.37
2.93
3.80
8.21
372,520
103,000
25,602.42
187 Liechtenstein
2.27
2.33
2.20
8.46
39,039
160
No Data
187 Monaco
2.58
1.67
3.50
5.63
36,686
75
8,596.10
187 San Marino
3.48
2.37
4.60
5.21
33,745
60
No Data

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Resilience Score

The criminal markets score is represented by the pyramid base size and the criminal actors score is represented by the pyramid height, on a scale ranging from 1 to 10. The resilience score is represented by the panel height, which can be identified by the side of the panel.

How to measure organized crime?

A series of 13 discussion papers, one for each illicit market considered during the development of the Index.

Read more on globalinitiative.net
How to measure organized crime?

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This report was funded in part by a grant from the United States Department of State.

ENACT is funded by the European Union and implemented by the Institute for Security Studies and INTERPOL, in affiliation with the Global Initiative Against Transnational Organized Crime.

The opinions, findings and conclusions stated herein are those of the Global Initiative Against Transnational Organized Crime and do not necessarily reflect those of the United States Department of State.