Conservation Culturomics 2025

A relatively new field that leverages big data and digital technologies to study human-nature interactions by analyzing community-generated information, such as internet searches, social media posts, blogs, and other digital content. By examining these vast datasets, conservation culturomics aims to uncover patterns and trends in public interest and behavior toward biodiversity and conservation issues. This insight is crucial for understanding how societal values and perceptions about nature evolve and how these changes can influence conservation policies and practices.

The approach allows researchers and policymakers to gauge public awareness and engagement with conservation efforts, identify emerging threats to biodiversity, and detect early interest in endangered species or habitats. By tapping into the cultural zeitgeist, conservation culturomics provides a dynamic tool for crafting more effective and resonant conservation strategies that align with public interest and behavior.

The higher the score, the better the country ranks for this parameter.

The table is sorted from the highest score to the lowest:

Rank Country Score Change
1
Vietnam
100 +29
2
Thailand
99 +21
3
Belize
96 +1
4
Australia
90 -2
5
Maldives
89 +41
6
Iran
88 +60
7
Ecuador
88 -1
8
Guatemala
88 +16
9
Indonesia
87 +29
10
Costa Rica
85 -9
11
New Zealand
85 +4
12
United States
85 -1
13
Honduras
84 -6
14
Nicaragua
84 +7
15
Mexico
84 +19
16
Canada
84 -4
17
Panama
83 -1
18
Russia
83 +39
19
Moldova
83 +43
20
Guyana
82 +17
21
Bolivia
81 +4
22
El Salvador
80 +5
23
Bhutan
80 -3
24
United Kingdom
80 +28
25
Peru
78 +4
26
Romania
78 +51
27
Colombia
78 -1
28
Lebanon
78 +64
29
Jordan
78 +69
30
Brunei
76 +31
31
Uzbekistan
76 +64
32
Ukraine
76 +52
33
Belarus
76 +40
34
Laos
75 +48
35
Cuba
75 -18
36
Fiji
74 +4
37
Oman
74 +56
38
Trinidad and Tobago
74 +45
39
Kazakhstan
74 +32
40
Seychelles
73 -27
41
Namibia
73 -38
43
Singapore
72 +15
43
Paraguay
72 +21
44
Burkina Faso
72 +52
45
Chile
71 -6
46
Mauritius
71 +5
47
Kyrgyztan
70 +50
48
Uruguay
70 +37
49
Estonia
70 -13
50
Malta
69 +39
51
Norway
69 +25
52
Papua New Guinea
69 +11
53
Kuwait
69 +66
54
Iraq
69 +72
55
Philippines
68 +35
56
Sweden
68 +3
57
Solomon Islands
68 -15
58
Barbados
68 +44
59
Bahrain
68 +57
60
Latvia
67 -6
61
Czech republic
67 -13
62
Iceland
67 -57
63
South Africa
67 -55
64
France
66 +41
65
Spain
66 +29
66
Malaysia
66 +22
67
Netherlands
66 +19
68
Bahamas
66 -3
69
Ireland
66 +6
70
Argentina
65 -10
71
Vanuatu
65 +51
72
Botswana
65 +63
73
Lithuania
65 -5
74
Denmark
65 +5
75
Grenada
65 +32
76
Belgium
64 +15
77
Antigua and Barbuda
64 -5
78
Jamaica
64 +36
79
Zimbabwe
63 -69
80
Saint Lucia
63 +35
81
Saudi Arabia
63 +50
82
Dominica
62 -33
83
Algeria
62 +47
84
Poland
62 +37
85
Croatia
62 -71
86
Turkmenistan
62 +43
87
Israel
62 -20
88
Bosnia and Herz.
62 +22
89
Serbia
61 +31
90
Cape Verde
61 -3
91
Switzerland
61 -21
92
Finland
61 -39
93
Bulgaria
61 +19
94
Montenegro
61 -53
95
Portugal
60 +13
96
Eswatini
60 -65
97
Mozambique
60 -79
98
Luxembourg
60 +1
99
Brazil
60 +12
100
United Arab Emirates
60 +21
101
Venezuela
60 -46
102 Italy 59 +16
103
Sudan
59 +39
104
Egypt
59 +35
105
Qatar
58 +23
106
Slovenia
58 -6
107
Sri Lanka
58 -64
108
St. Vincent and the Grenadines
58 -39
109
Slovakia
58 -8
110
Cyprus
57 +24
111
Lesotho
57 -61
112
Chad
57 +13
113
Japan
57 +24
114
Turkey
57 +21
115
Austria
57 -37
116
Samoa
56 N/A
117
Hungary
56 -36
118
China
55 -14
119
Dominican Republic
55 -45
120
Mali
54 +23
121
Germany
54 -15
122
Nepal
54 -94
123
Madagascar
53 -91
124
Zambia
52 -91
125
Afghanistan
52 -69
126
Tonga
51 +35
127
South Korea
51 +5
128
Niger
49 +12
129
Georgia
49 -6
130
Tunisia
49 +22
131
Ethiopia
48 -87
132
Pakistan
48 +14
133
Greece
48 +16
134
Mongolia
48 +4
135
Azerbaijan
47 +10
136
Suriname
47 +15
137
East Timor
47 -1
138
DR Congo
47 -25
139
Tajikistan
47 +16
140
Angola
46 -31
141
Cameroon
46 -38
142
Kenya
45 -97
143
Liberia
45 -16
144
Gabon
45 -64
145
India
44 -28
146
Benin
44 +2
147
Malawi
44 -78
148
Haiti
44 +6
149
Ghana
44 -25
150
Uganda
44 -115
151
Morocco
44 +9
152
North Macedonia
43 -11
153
Micronesia
43 +13
154
Armenia
42 +2
155
Nigeria
42 -11
156
Tanzania
41 -137
157
Togo
40 +1
158
Cambodia
40 -25
159
Myanmar
40 -9
160
Rwanda
38 -138
161
Senegal
37 -4
162
Albania
36 -3
163
Bangladesh
36 +1
164
Congo
36 -2
165
Sao Tome and Principe
35 +4
166
Ivory Coast
35 -3
167
Djibouti
35 +3
168
Gambia
31 -1
169
Mauritania
30 +4
170
Central Af. Rep.
29 +4
171
Equatorial Guinea
28 N/A
172
Burundi
27 -7
173
Kiribati
27 +3
174
Guinea-Bissau
26 -6
175
Sierra Leone
24 -3
176
Marshall Islands
22 -2
177
Comoros
22 N/A
178
Guinea
18 +3
179
Eritrea
18 N/A

Source and Calculation

Data on country-specific culturomics scores for biodiversity and conservation are sourced from a report for Report for On the Edge Conservation by Caetano et al. (2021). A minimum score is given to a country with a culturomics score of 0.

*Different sources offer varying data, as datasets may be subject to changes due to recent updates and revisions.