Top 100 Countries by Wild Mammal Species Richness, 2025
Where the world’s wild mammal diversity is concentrated in the latest country-level data
Wild mammal species richness measures how many living wild mammal species are recorded within a country’s borders. It is a diversity indicator, not a count of individual animals, and it does not tell us whether those species are secure, abundant, or well protected. Countries rank highly when they combine warm and productive climates, strong habitat variety, mountain systems, forests, long ecological gradients, and enough evolutionary time for many mammal lineages to accumulate or persist.
The earlier draft was weak not only stylistically but methodologically. It relied on approximate harmonised figures, treated “Congo” as a usable row in a top ranking, and inflated several mid-table countries far above what the current source table shows. This revision is anchored directly to the live ASM Mammal Diversity Database country list, which makes the hierarchy cleaner, more defensible, and easier to explain without filler language.
For a country ranking aimed at general readers, this page keeps sovereign states only and does not mix territories and dependencies into the main Top 100 list.
Top 10 countries by wild mammal species richness
Indonesia stays first because it combines tropical climate, strong island-to-island faunal turnover, high endemism, and sharp habitat contrasts across a vast archipelago.
Brazil remains near the top because the Amazon, Atlantic Forest, Cerrado, Pantanal, and transition belts create exceptional ecological range within one state.
China’s rank reflects environmental breadth rather than a tropical-only effect: deserts, plateau systems, temperate forests, subtropical belts, and mountain barriers all matter here.
Mexico benefits from acting as a biogeographic bridge between the Nearctic and the Neotropics, with strong turnover across mountains, drylands, forests, and coasts.
Peru’s high rank is driven by the Amazon–Andes system, where lowland rainforest, foothills, cloud forest, and highland zones compress many habitats into one country.
Colombia’s mammal richness reflects its combination of Andean gradients, Amazonian forests, Caribbean and Pacific systems, and repeated habitat transitions.
The Democratic Republic of the Congo remains a top-tier mammal country because the Congo Basin is one of the world’s largest continuous tropical forest systems.
The United States reaches the top ten through continental scale, coastline breadth, and strong climatic variety rather than through tropical forest concentration.
India combines Himalaya, forests, drylands, river plains, and long coastal gradients, producing a much richer mammal profile than map-size comparisons alone would suggest.
Ecuador shows how extreme richness can fit inside a relatively compact territory when Andean elevation and Amazonian influence overlap so tightly.
| Rank | Country | Living wild mammal species |
|---|---|---|
| 1 | Indonesia | 793 |
| 2 | Brazil | 785 |
| 3 | China | 746 |
| 4 | Mexico | 585 |
| 5 | Peru | 582 |
| 6 | Colombia | 532 |
| 7 | Democratic Republic of the Congo | 510 |
| 8 | United States | 488 |
| 9 | India | 472 |
| 10 | Ecuador | 467 |
Top 20 bar chart
The distribution is steep but not random. Six countries now sit above 500 living wild mammal species, after which the ranking steps down into the low 400s and then into the high 300s. That pattern is exactly what we would expect when tropical productivity, biogeographic mixing, and topographic complexity overlap.
Methodology
This version is based on the live ASM Mammal Diversity Database country table rather than on an approximate multi-source blend. That matters because the MDD is already harmonised at the taxonomic and geographic level and explicitly excludes widespread and domesticated species. The earlier text overstated certainty while using approximate values that no longer matched the current country list.
This is not a frozen “annual census” in the way a macroeconomic table might be. Country totals can move when accepted taxonomy changes, when species are split or lumped, or when country-occurrence coding is corrected. The right way to present the ranking is therefore as the latest available country-level snapshot rather than as a pretend once-and-for-all count.
Another methodological point is country labeling. A ranking stops being trustworthy the moment it merges or blurs separate states. “Congo” is not a usable top-table entry in a serious article because the current source distinguishes Democratic Republic of the Congo from Republic of the Congo and gives them very different totals.
Key insights
The ranking shows that wild mammal richness is concentrated above all in tropical and subtropical systems with strong habitat variety: the Amazon–Andes complex, the Congo Basin, Southeast Asian archipelagos, and ecotonal states such as Mexico. The upper end of the table is therefore not a list of simply “large countries,” but a list of countries where climate, terrain, forest systems, and long-term evolutionary stability repeatedly created opportunities for diversification.
It also shows why raw area is an incomplete guide. Russia and Canada are immense, yet they sit well below the tropical leaders because colder and drier systems support fewer mammal lineages overall. By contrast, Ecuador reaches the top ten despite its much smaller territory because Andes–Amazon overlap creates enormous ecological turnover inside a compact national frame.
What this means for the reader
Used properly, this ranking is a map of concentration, not a moral scoreboard. It helps readers see where decisions on forests, infrastructure, hunting control, and protected-area design can affect a very large share of the world’s mammal diversity. It also helps separate real biodiversity analysis from generic “megadiversity” talk by showing which countries actually sit in the highest current tier.
It should not be used alone. A country can rank high in richness and still be losing habitat quickly. To judge urgency, the ranking should be read next to endemism, threat status, and land-use pressure.
Full Top 100 table and scale comparison
The full ranking makes one thing plain: mammal richness is concentrated in a relatively narrow group of tropical and structurally diverse countries. The table below keeps all 100 rows directly in the HTML source, while the controls only help readers search, sort, and limit what is shown on screen.
Top 100 countries by living wild mammal species
| Rank | Country | Living species | Region |
|---|---|---|---|
| 1 | Indonesia | 793 | Asia |
| 2 | Brazil | 785 | Americas |
| 3 | China | 746 | Asia |
| 4 | Mexico | 585 | Americas |
| 5 | Peru | 582 | Americas |
| 6 | Colombia | 532 | Americas |
| 7 | Democratic Republic of the Congo | 510 | Africa |
| 8 | United States | 488 | Americas |
| 9 | India | 472 | Asia |
| 10 | Ecuador | 467 | Americas |
| 11 | Bolivia | 419 | Americas |
| 12 | Venezuela | 415 | Americas |
| 13 | Argentina | 412 | Americas |
| 14 | Kenya | 410 | Africa |
| 15 | Tanzania | 407 | Africa |
| 16 | Cameroon | 370 | Africa |
| 17 | Uganda | 367 | Africa |
| 18 | Vietnam | 363 | Asia |
| 19 | Australia | 359 | Oceania |
| 20 | Myanmar | 359 | Asia |
| 21 | Malaysia | 358 | Asia |
| 22 | Thailand | 346 | Asia |
| 23 | Angola | 332 | Africa |
| 24 | Russia | 329 | Eurasia |
| 25 | South Africa | 322 | Africa |
| 26 | Ethiopia | 321 | Africa |
| 27 | Nigeria | 315 | Africa |
| 28 | Papua New Guinea | 292 | Oceania |
| 29 | Cote d'Ivoire | 278 | Africa |
| 30 | Ghana | 275 | Africa |
| 31 | Guinea | 266 | Africa |
| 32 | Mozambique | 264 | Africa |
| 33 | Central African Republic | 261 | Africa |
| 34 | Laos | 261 | Asia |
| 35 | Zambia | 261 | Africa |
| 36 | Costa Rica | 257 | Americas |
| 37 | Panama | 257 | Americas |
| 38 | Guyana | 255 | Americas |
| 39 | Guatemala | 250 | Americas |
| 40 | Madagascar | 246 | Africa |
| 41 | Philippines | 246 | Asia |
| 42 | South Sudan | 243 | Africa |
| 43 | Honduras | 236 | Americas |
| 44 | Republic of the Congo | 232 | Africa |
| 45 | Suriname | 230 | Americas |
| 46 | Canada | 224 | Americas |
| 47 | Iran | 218 | Asia |
| 48 | Nicaragua | 218 | Americas |
| 49 | Namibia | 215 | Africa |
| 50 | Rwanda | 211 | Africa |
| 51 | Zimbabwe | 211 | Africa |
| 52 | Liberia | 209 | Africa |
| 53 | Malawi | 208 | Africa |
| 54 | Equatorial Guinea | 205 | Africa |
| 55 | Cambodia | 204 | Asia |
| 56 | Pakistan | 204 | Asia |
| 57 | Benin | 203 | Africa |
| 58 | Gabon | 202 | Africa |
| 59 | Sierra Leone | 202 | Africa |
| 60 | Sudan | 201 | Africa |
| 61 | Togo | 201 | Africa |
| 62 | Nepal | 197 | Asia |
| 63 | Senegal | 194 | Africa |
| 64 | Somalia | 184 | Africa |
| 65 | Brunei | 183 | Asia |
| 66 | Paraguay | 181 | Americas |
| 67 | Turkey | 181 | Asia |
| 68 | Kazakhstan | 176 | Asia |
| 69 | Burundi | 175 | Africa |
| 70 | Botswana | 171 | Africa |
| 71 | El Salvador | 163 | Americas |
| 72 | Chile | 162 | Americas |
| 73 | Mali | 160 | Africa |
| 74 | Japan | 153 | Asia |
| 75 | Bangladesh | 152 | Asia |
| 76 | Chad | 151 | Africa |
| 77 | Mongolia | 148 | Asia |
| 78 | Guinea-Bissau | 143 | Africa |
| 79 | Bhutan | 142 | Asia |
| 80 | Burkina Faso | 140 | Africa |
| 81 | France | 139 | Europe |
| 82 | Eswatini | 138 | Africa |
| 83 | Afghanistan | 137 | Asia |
| 84 | Gambia | 136 | Africa |
| 85 | Niger | 136 | Africa |
| 86 | Morocco | 132 | Africa |
| 87 | Spain | 131 | Europe |
| 88 | Uruguay | 129 | Americas |
| 89 | Italy | 127 | Europe |
| 90 | Eritrea | 125 | Africa |
| 91 | Trinidad and Tobago | 125 | Americas |
| 92 | Sri Lanka | 121 | Asia |
| 93 | Mauritania | 118 | Africa |
| 94 | Greece | 116 | Europe |
| 95 | Israel | 116 | Asia |
| 96 | Egypt | 114 | Africa |
| 97 | Ukraine | 113 | Europe |
| 98 | Azerbaijan | 112 | Asia |
| 99 | Georgia | 112 | Asia |
| 100 | North Korea | 111 | Asia |
Source base: ASM Mammal Diversity Database country table. Updated against the live country list; all table rows are hard-coded in the HTML source. Regions are editorial groupings for on-page filtering only.
Species richness vs. land area
The scatter plot shows why simple territory size is not enough to explain mammal richness. Very large countries can rank only mid-table if they are dominated by colder or drier systems, while smaller tropical and montane countries can rank far higher because ecological turnover is much stronger.
How to interpret the ranking without flattening the biology
A species-richness ranking is valuable precisely because it does one narrow job well: it shows where many mammal species are concentrated at country scale. Problems begin when readers ask it to do jobs it cannot do. It does not tell us how many of those species are endemic, how many are threatened, whether habitats remain intact, or whether a country is managing biodiversity well. Those questions require other indicators.
The current Top 100 still gives a strong analytical picture. The upper end is dominated by tropical and subtropical systems with repeated habitat turnover: the Southeast Asian archipelagos, the Amazon–Andes corridor, the Congo Basin, and ecotonal states such as Mexico. That is why countries with far smaller territory can outrank much larger cold or arid states. Area matters, but ecological structure matters more.
This is also why the ranking has policy value. The countries high in this table are not merely “interesting for biodiversity.” They are countries where land-use change, forest loss, hunting pressure, road expansion, mining, and infrastructure corridors can affect a disproportionate share of global mammal diversity. In that sense, the ranking works best as a concentration map of global responsibility.
Policy takeaways
Raw richness is useful, but only when paired with pressure and irreplaceability. The strongest policy reading is not “protect the countries with the largest totals and stop there,” but “identify where richness, endemism, and rapid habitat change overlap most sharply.”
- Protected-area planning should follow diversity gradients rather than rely only on iconic parks or already famous sites.
- Megadiverse states need corridor logic, not only isolated reserves, because many mammal faunas depend on connected elevational and forest mosaics.
- High-richness countries under active land conversion deserve disproportionate monitoring effort because losses there can erase large pieces of the global mammal tree.
- Country rankings should always be read together with endemism and threat data before being translated into funding priorities.
FAQ
Why is Indonesia still number one?
Indonesia combines tropical climate, archipelagic fragmentation, high endemism, and sharp ecological turnover between islands. Very few countries stack that many diversity drivers at once.
Why was the old “Congo” line a serious mistake?
Because the current source table separates Democratic Republic of the Congo from Republic of the Congo and gives them very different totals. Once a ranking collapses them into one vague row, it stops being methodologically clean.
Does a high rank mean a country is protecting wildlife well?
No. High richness only shows where many mammal species occur. It says nothing by itself about population trends, hunting pressure, habitat fragmentation, or conservation quality.
Can country totals be summed to get world mammal richness?
No. The same mammal species can occur in more than one country, so the ranking is comparative rather than additive.
Why do some huge countries rank lower than smaller tropical ones?
Because mammal richness is driven by climate, ecological turnover, habitat variety, and evolutionary history more than by map size alone. Tropical montane and forest systems often support many more lineages per unit area.
Why can the ranking change even if there was no sudden extinction wave?
Because the underlying database is updateable. Taxonomy changes, species are split or lumped, and country-occurrence coding can be revised as knowledge improves.
Sources
-
ASM Mammal Diversity Database — Mammal Diversity by Country and Region
Primary country table used for the corrected ranking. -
ASM Mammal Diversity Database
Current release information for MDD v2.4 and database overview. -
Journal of Mammalogy — How many mammal species are there now? Updates and progress in MDD 2.0
Background on why the mammal database is continuously updated and why taxonomic totals move over time. -
IUCN Red List of Threatened Species
Core reference for conservation status, threat categories, and range-based context. -
World Bank — Land area (sq. km)
Standard reference for land-area comparison used in the scatter context.