The Organized Crime Index | ENACT
Year:
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Ranking by

Non-renewable resource crimes

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

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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.