The Organized Crime Index | ENACT
Year:
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Ranking by

Cyber-dependent crimes

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