The Organized Crime Index | ENACT
Year:
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Ranking by

Fauna crimes

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

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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.