The Organized Crime Index | ENACT
Year:
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Ranking by

Extortion and protection racketeering

Main Index Scores
Complementary Data
Country
Extortion and protection racketeering
Criminality
Criminal markets
Criminal actors
Resilience
Population
Area (KM²)
GDP Total US$ Mi
1 Somalia
6.13
5.27
7.00
1.79
17,065,581
637,660
7,628.00
2 Libya
6.93
6.57
7.30
1.54
6,735,277
1,759,540
42,817.47
2 Mexico
7.57
8.13
7.00
4.21
126,705,138
1,964,375
1,272,840.00
4 Colombia
7.75
7.30
8.20
5.63
51,516,562
1,140,619
314,464.00
4 Honduras
7.05
6.00
8.10
4.08
10,278,345
112,490
28,488.67
6 Ecuador
7.07
6.73
7.40
4.88
17,797,737
256,370
106,166.00
6 Guatemala
6.60
6.10
7.10
4.08
17,109,746
108,890
85,985.75
6 Mali
5.93
6.47
5.40
2.38
21,904,983
1,240,190
19,140.46
6 Nigeria
7.28
7.37
7.20
5.79
213,401,323
923,770
440,834.00
6 South Africa
7.18
6.87
7.50
5.63
59,392,255
1,219,090
No Data
6 Syria
7.07
6.43
7.70
1.92
21,324,367
185,180
No Data
6 Yemen
6.57
5.63
7.50
1.75
32,981,641
527,970
9,412.03
13 Congo, Dem. Rep.
7.35
6.20
8.50
2.38
95,894,118
2,344,860
55,350.97
13 El Salvador
5.92
5.43
6.40
3.21
6,314,167
21,040
28,736.94
13 Italy
6.22
5.73
6.70
6.46
59,109,668
302,068
2,107,700.00
13 Myanmar
8.15
7.70
8.60
1.63
53,798,084
676,590
65,091.75
13 Sri Lanka
4.92
4.83
5.00
3.42
22,156,000
65,610
88,927.26
13 Venezuela
6.72
6.03
7.40
1.88
28,199,867
912,050
No Data
19 Brazil
6.77
6.93
6.60
4.92
214,326,223
8,515,770
1,608,980.00
19 Guyana
5.97
5.13
6.80
4.04
804,567
214,970
8,044.50
19 Haiti
5.93
5.77
6.10
2.46
11,447,569
27,750
20,944.39
19 India
5.75
6.70
4.80
5.42
1,407,563,842
3,287,260
3,176,300.00
19 Iraq
7.13
6.27
8.00
3.21
43,533,592
435,052
207,889.00
19 Kenya
7.02
6.93
7.10
5.33
53,005,614
580,370
110,347.00
19 Paraguay
7.52
6.73
8.30
3.42
6,703,799
406,752
39,495.43
26 Bangladesh
5.12
5.03
5.20
4.42
169,356,251
147,570
416,265.00
26 Burkina Faso
5.92
5.83
6.00
3.46
22,100,683
274,220
19,737.62
26 Cambodia
6.85
6.70
7.00
3.63
16,589,023
181,040
26,961.06
26 Central African Republic
6.75
5.60
7.90
1.79
5,457,154
622,980
2,516.50
26 Nepal
6.57
6.03
7.10
4.00
30,034,989
147,180
36,288.83
26 Pakistan
6.03
6.27
5.80
3.96
231,402,117
796,100
348,263.00
26 Panama
6.98
6.67
7.30
4.67
4,351,267
75,320
63,605.10
26 Thailand
6.18
6.77
5.60
4.79
71,601,103
513,120
505,947.00
34 Afghanistan
7.10
7.00
7.20
1.50
40,099,462
652,860
14,786.86
34 Cameroon
6.27
6.23
6.30
3.17
27,198,628
475,440
45,338.28
34 Costa Rica
5.53
5.37
5.70
5.63
5,153,957
51,100
64,282.44
34 Ethiopia
5.68
6.07
5.30
4.75
120,283,026
1,136,240
111,271.00
34 Indonesia
6.85
6.60
7.10
4.25
273,753,191
1,916,907
1,186,090.00
34 Jamaica
5.80
4.90
6.70
5.42
2,827,695
10,990
14,657.59
34 Russia
6.87
6.83
6.90
3.79
143,449,286
17,098,250
1,778,780.00
34 Turkey
7.03
6.77
7.30
3.38
84,775,404
785,350
819,035.00
34 United Kingdom
5.75
5.50
6.00
7.54
67,326,569
243,610
3,131,380.00
34 Vietnam
6.55
6.50
6.60
4.79
97,468,029
331,340
366,138.00
44 Côte d'Ivoire
6.02
5.93
6.10
5.13
27,478,249
322,460
70,043.19
44 Germany
5.33
5.47
5.20
7.50
83,196,078
357,590
4,259,930.00
44 Greece
5.35
4.70
6.00
5.17
10,641,221
131,960
214,874.00
44 Ireland
5.08
5.17
5.00
7.33
5,033,165
70,280
504,183.00
44 Lebanon
7.10
6.30
7.90
3.46
5,592,631
10,450
23,131.94
44 Madagascar
5.58
5.27
5.90
3.33
28,915,653
587,295
14,472.60
44 Malaysia
6.23
6.67
5.80
5.92
33,573,874
330,241
372,981.00
44 Moldova
5.60
5.20
6.00
3.92
2,615,199
33,850
13,679.22
44 Philippines
6.63
6.57
6.70
4.21
113,880,328
300,000
394,086.00
44 Serbia
6.22
5.73
6.70
4.96
6,834,326
84,990
63,082.05
54 Argentina
5.00
4.50
5.50
5.96
45,808,747
2,780,400
487,227.00
54 Bosnia and Herzegovina
5.85
5.30
6.40
3.88
3,270,943
51,210
23,365.36
54 Bulgaria
5.65
5.40
5.90
5.33
6,877,743
111,000
84,056.31
54 Cabo Verde
4.28
3.97
4.60
6.58
587,925
4,030
1,936.17
54 Chad
5.50
5.10
5.90
2.42
17,179,740
1,284,000
11,779.98
54 China
6.37
6.53
6.20
5.67
1,412,360,000
9,600,013
17,734,100.00
54 Israel
4.85
5.00
4.70
6.08
9,364,000
22,070
488,526.55
54 Japan
4.28
3.87
4.70
7.38
125,681,593
377,974
4,940,880.00
54 Laos
6.12
6.33
5.90
3.46
7,425,057
236,800
18,827.15
54 Montenegro
5.90
5.20
6.60
4.75
619,211
13,810
5,861.27
54 Morocco
4.80
5.10
4.50
4.63
37,076,584
446,550
142,866.00
54 Mozambique
6.20
5.90
6.50
3.29
32,077,072
799,380
15,776.76
54 North Macedonia
5.03
4.87
5.20
5.29
2,065,092
25,710
13,825.05
54 South Sudan
6.32
5.13
7.50
1.88
10,748,272
646,883
No Data
54 Trinidad and Tobago
5.20
4.80
5.60
5.33
1,525,663
5,130
24,460.20
54 Turkmenistan
4.40
4.40
4.40
2.21
6,341,855
488,100
No Data
54 Uganda
6.55
6.40
6.70
3.88
45,853,778
241,550
40,529.79
54 Ukraine
6.48
6.27
6.70
4.54
43,792,855
603,550
200,086.00
54 United Arab Emirates
6.37
7.03
5.70
5.13
9,365,145
98,648
415,022.00
73 Australia
4.00
4.30
3.70
7.38
25,688,079
7,741,220
1,552,670.00
73 Austria
4.13
4.17
4.10
7.50
8,955,797
83,879
480,368.00
73 Burundi
4.87
4.63
5.10
2.17
12,551,213
27,830
2,779.81
73 Chile
5.18
5.07
5.30
6.17
19,493,184
756,700
317,059.00
73 Denmark
4.02
4.33
3.70
8.13
5,856,733
42,920
398,303.00
73 Eswatini
4.38
3.87
4.90
3.29
1,192,271
17,360
4,743.34
73 France
5.82
5.93
5.70
6.96
67,749,632
549,087
2,957,880.00
73 Iran
7.03
7.37
6.70
3.13
87,923,432
1,745,150
359,713.00
73 Peru
6.40
6.20
6.60
4.38
33,715,471
1,285,220
223,249.00
73 Senegal
5.52
5.53
5.50
5.79
16,876,720
196,710
27,625.39
73 Sudan
6.37
5.23
7.50
2.71
45,657,202
1,878,000
34,326.06
73 Sweden
4.70
4.60
4.80
7.46
10,415,811
528,861
635,664.00
85 Azerbaijan
4.80
4.10
5.50
3.96
10,137,750
86,600
54,622.18
85 Belarus
5.87
5.33
6.40
3.25
9,340,314
207,610
68,205.38
85 Benin
5.32
5.43
5.20
3.50
12,996,895
114,760
17,144.92
85 Botswana
4.35
4.40
4.30
5.46
2,588,423
581,730
17,614.79
85 Croatia
5.15
4.90
5.40
5.92
3,899,000
88,070
68,955.08
85 Dominican Republic
5.02
5.13
4.90
4.79
11,117,873
48,670
94,243.45
85 Guinea-Bissau
5.10
4.60
5.60
2.58
2,060,721
36,130
1,638.52
85 Jordan
4.93
4.87
5.00
5.58
11,148,278
89,318
45,744.27
85 Liberia
5.50
5.40
5.60
3.25
5,193,416
111,370
3,509.00
85 New Zealand
4.08
3.77
4.40
7.88
5,122,600
267,710
249,886.00
85 Niger
5.70
5.70
5.70
3.46
25,252,722
1,267,000
14,915.00
85 Romania
4.58
5.27
3.90
6.00
19,119,880
238,400
284,088.00
85 Spain
5.90
5.70
6.10
6.75
47,415,750
505,970
1,427,380.00
85 Tanzania
6.20
6.40
6.00
4.13
63,588,334
947,300
67,841.05
85 Timor-Leste
4.08
3.67
4.50
3.83
1,320,942
14,870
3,621.22
85 Uruguay
3.22
3.33
3.10
7.50
3,426,260
176,220
59,319.48
85 Uzbekistan
4.95
4.60
5.30
3.88
34,915,100
448,924
69,238.90
102 Albania
5.17
4.83
5.50
5.13
2,811,666
28,750
18,255.79
102 Belize
4.87
4.43
5.30
3.29
400,031
22,970
2,491.50
102 Czech Republic
4.68
4.87
4.50
6.42
10,505,772
78,871
281,778.00
102 Djibouti
4.65
4.30
5.00
4.38
1,105,557
23,200
3,482.99
102 Egypt
5.05
5.10
5.00
3.83
109,262,178
1,001,450
404,143.00
102 Fiji
4.15
4.30
4.00
5.42
924,610
18,270
4,296.30
102 Georgia
3.60
3.60
3.60
5.25
3,708,610
69,700
18,629.37
102 Ghana
5.80
6.00
5.60
5.46
32,833,031
238,530
77,594.28
102 Kazakhstan
4.47
4.33
4.60
4.54
19,000,988
2,724,900
197,112.00
102 Kyrgyzstan
5.32
4.63
6.00
3.83
6,691,800
199,950
8,543.42
102 Latvia
3.90
4.50
3.30
7.58
1,884,490
64,590
39,853.50
102 Portugal
4.88
4.67
5.10
6.50
10,325,147
92,230
253,663.00
114 Algeria
4.88
5.17
4.60
4.38
44,177,969
2,381,741
163,044.00
114 Bolivia
4.95
5.00
4.90
4.83
12,079,472
1,098,580
40,408.21
114 Congo, Rep.
4.78
4.47
5.10
3.25
5,835,806
342,000
13,366.23
114 Cyprus
4.43
3.97
4.90
4.46
1,244,188
9,250
28,407.87
114 Korea, Rep.
4.43
3.57
5.30
8.08
51,744,876
100,410
1,810,960.00
114 Malta
5.00
4.30
5.70
5.13
518,536
320
17,364.04
114 Namibia
4.30
4.10
4.50
4.54
2,530,151
824,290
12,607.44
114 Norway
3.75
4.10
3.40
7.92
5,408,320
624,499
482,175.00
114 Slovakia
4.72
4.73
4.70
5.29
5,447,247
49,030
116,527.00
114 Slovenia
4.37
4.03
4.70
6.04
2,108,079
20,480
61,748.59
114 Suriname
4.77
4.53
5.00
3.04
612,985
163,820
2,984.71
114 Tajikistan
5.45
4.80
6.10
2.58
9,750,064
141,380
8,746.27
114 Tonga
3.70
3.50
3.90
5.29
106,017
750
469.23
114 United States
5.67
5.83
5.50
7.13
331,893,745
9,831,510
23,315,100.00
128 Belgium
4.43
5.17
3.70
7.04
11,592,952
30,530
594,104.00
128 Canada
3.88
3.87
3.90
7.21
38,246,108
9,879,750
1,988,340.00
128 Estonia
4.25
4.20
4.30
7.88
1,330,932
45,340
37,191.17
128 Finland
2.98
3.27
2.70
8.63
5,541,017
338,460
297,302.00
128 Kiribati
2.45
2.60
2.30
4.33
128,874
810
207.03
128 Maldives
4.27
3.53
5.00
4.08
521,457
300
5,405.58
128 Mauritania
4.38
4.27
4.50
3.13
4,614,974
1,030,700
9,996.25
128 Netherlands
4.97
5.23
4.70
7.46
17,533,044
41,540
1,012,850.00
128 Oman
4.40
4.90
3.90
5.21
4,520,471
309,500
88,191.98
128 Poland
4.48
4.97
4.00
5.88
37,747,124
312,710
679,445.00
128 Switzerland
4.87
4.63
5.10
7.04
8,703,405
41,290
800,640.00
128 Zambia
4.73
4.47
5.00
4.54
19,473,125
752,610
419,015.00
128 Zimbabwe
5.47
5.03
5.90
3.13
15,993,524
390,760
22,147.63
141 Angola
5.58
5.17
6.00
4.50
34,503,774
1,246,700
67,404.29
141 Antigua and Barbuda
2.98
2.67
3.30
4.58
93,219
440
1,471.13
141 Barbados
3.07
2.43
3.70
6.13
281,200
430
4,843.80
141 Bhutan
3.90
3.90
3.90
4.71
777,486
38,390
2,539.55
141 Brunei
2.85
3.30
2.40
4.58
445,373
5,770
14,006.57
141 Cuba
3.37
3.63
3.10
5.38
11,256,372
109,880
No Data
141 Equatorial Guinea
4.38
3.57
5.20
2.21
1,634,466
28,050
12,269.39
141 Hungary
4.62
4.73
4.50
4.88
9,709,891
93,030
181,848.00
141 Kuwait
5.20
5.70
4.70
5.54
4,250,114
17,820
No Data
141 Lesotho
3.92
3.43
4.40
3.92
2,281,454
30,360
2,496.13
141 Liechtenstein
2.27
2.33
2.20
8.46
39,039
160
No Data
141 Lithuania
3.90
3.80
4.00
7.29
2,800,839
65,290
66,445.26
141 Luxembourg
2.85
2.90
2.80
7.50
640,064
2,590
85,506.24
141 Malawi
4.48
4.77
4.20
4.58
19,889,742
118,480
12,626.72
141 Mongolia
4.12
3.83
4.40
5.21
3,347,782
1,564,116
15,286.44
141 Nicaragua
5.72
5.23
6.20
2.08
6,850,540
130,370
14,013.02
141 Papua New Guinea
5.72
5.33
6.10
3.29
9,949,437
462,840
26,594.31
141 Qatar
5.45
5.70
5.20
5.42
2,688,235
11,490
179,677.00
141 San Marino
3.48
2.37
4.60
5.21
33,745
60
No Data
141 Saudi Arabia
6.23
6.57
5.90
4.00
35,950,396
2,149,690
833,541.00
141 Sierra Leone
4.95
4.60
5.30
4.04
8,420,641
72,300
4,042.24
141 Singapore
3.47
3.93
3.00
7.83
5,453,566
728
396,987.00
141 Solomon Islands
4.40
3.70
5.10
5.08
707,851
28,900
1,631.49
141 Tunisia
4.45
5.00
3.90
4.50
12,262,946
163,610
46,686.74
165 Armenia
2.82
2.93
2.70
5.71
2,790,974
29,740
13,861.41
165 Bahamas
3.75
3.60
3.90
5.50
407,906
13,880
11,208.60
165 Bahrain
4.95
5.40
4.50
5.42
1,463,265
785
38,868.66
165 Comoros
3.92
3.73
4.10
2.38
821,625
1,861
1,296.09
165 Korea, DPR
4.82
5.73
3.90
1.79
25,971,909
120,540
No Data
165 Mauritius
4.37
4.13
4.60
5.54
1,266,060
2,040
11,529.04
165 Micronesia (Federated States of)
3.00
3.00
3.00
5.88
113,131
700
404.03
165 Palau
2.70
2.90
2.50
5.33
18,024
460
217.80
165 Togo
5.23
4.77
5.70
4.50
8,644,829
56,790
8,413.20
174 Andorra
3.22
2.73
3.70
7.96
79,034
470
3,330.28
174 Dominica
2.63
2.67
2.60
5.17
72,412
750
554.18
174 Eritrea
3.97
3.93
4.00
2.33
3,620,312
121,630
No Data
174 Gabon
4.85
4.60
5.10
3.25
2,341,179
267,670
20,216.84
174 Gambia
4.53
4.67
4.40
5.17
2,639,916
11,300
2,038.42
174 Grenada
2.93
2.67
3.20
5.13
124,610
340
1,122.81
174 Guinea
4.58
4.77
4.40
3.13
13,531,906
245,860
16,091.82
174 Iceland
3.37
2.93
3.80
8.21
372,520
103,000
25,602.42
174 Marshall Islands
2.52
2.73
2.30
5.79
42,050
180
259.54
174 Monaco
2.58
1.67
3.50
5.63
36,686
75
8,596.10
174 Nauru
2.05
2.20
1.90
5.00
12,511
20
133.22
174 Rwanda
3.60
4.00
3.20
5.54
13,461,888
26,340
11,070.36
174 Samoa
2.43
2.97
1.90
5.83
220,000
2,840
843.84
174 Sao Tome and Principe
1.70
1.70
1.70
4.92
223,107
960
526.65
174 Seychelles
3.90
3.50
4.30
5.21
99,258
460
1,454.46
174 St. Kitts and Nevis
3.52
2.83
4.20
5.00
47,606
260
860.84
174 St. Lucia
3.53
2.67
4.40
5.58
179,651
620
1,691.28
174 St. Vincent and the Grenadines
3.08
2.67
3.50
5.38
104,332
390
904.18
174 Tuvalu
1.62
1.93
1.30
6.08
11,204
30
63.10
174 Vanuatu
2.43
2.67
2.20
5.13
319,137
12,190
956.33

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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.