The Organized Crime Index | ENACT
Year:
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Ranking by

Human trafficking

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

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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.