The Animal Kingdom Today

The animal kingdom spans enormous differences in abundance, body size, lifespan and reproductive pace. Some marine mammals number in the millions, while certain great apes survive in far smaller populations. Other comparisons reveal the weight of domesticated mammals, the long pregnancies of elephants and the extraordinary estimated ages of Greenland sharks. These twelve charts explore that variety through population estimates, conservation assessments and biological measurements. Each comparison identifies its data source and period, because wildlife statistics are rarely a single worldwide census. Four animal photographs illustrate the charts beside them, and one detailed table compares a wide selection of animal species.

Data reviewed 13 October 2026. Reporting periods vary and are shown below; historical records and estimates are not presented as a census of animals alive today.

  1. Selected wild carnivoran populations
  2. Elephant population estimates: different surveys and periods
  3. Taxonomic subdivisions of selected large cats
  4. Selected great-ape population estimates and thresholds
  5. Assessed vertebrates: threatened and other categories
  6. Relative brain size in selected mammals
  7. Selected vertebrate longevity records and estimates
  8. Brain mass versus body mass in selected mammals
  9. Global mammal biomass by broad group
  10. Threatened share of assessed vertebrates
  11. African rhino populations, 2018–2024
  12. Gestation lengths in selected mammals
  13. Animal kingdom data table

1. Selected wild carnivoran populations

Seals account for four of the five entries in this selected comparison of wild members of the order Carnivora. The crabeater seal’s broad circumpolar estimate is especially large, while the harp seal figure describes a specific North Atlantic stock. The American black bear introduces a terrestrial example, with the plotted value representing the midpoint of a published North American range. A shared taxonomic order does not mean these animals occupy similar habitats or obtain food in the same way.

The bars are useful for comparing scale, but their geographic coverage and dates differ. The northern fur seal value refers only to the Eastern Pacific stock, whereas the southern elephant seal overview covers the Southern Ocean. These are therefore selected published estimates rather than a global league table. The cited sources identify the geographic scope and available uncertainty bounds for each estimate. Changes in survey methods, coverage and models can revise an estimate even when the underlying animal population has not changed by the same amount.

Sources: Australian Antarctic Program (crabeater seal); DFO (2024 Northwest Atlantic harp seal estimate); International Association for Bear Research and Management (black bear); Antarctic Environments Portal (southern elephant seal); NOAA 2024 stock assessment (Eastern Pacific northern fur seal). Links appear in Sources. Values shown in millions; American black bear uses the midpoint of 850,000–950,000.

2. Elephant population estimates: different surveys and periods

African savanna elephants have the largest published count in this comparison, followed by African forest elephants and Asian elephants. The savanna figure comes from the Great Elephant Census, whose aerial surveys covered selected areas across eighteen countries in 2014–2015. It should not be mistaken for a complete count of every savanna elephant in Africa. The other two bars draw on different reporting periods and estimation approaches.

Forest elephants illustrate how difficult wildlife counting can be. Dense habitat limits direct observation, and the later assessment incorporated methods including DNA evidence. Its central estimate is accompanied by a 95% confidence interval of 99,343–172,297 animals. Better detection can increase the number estimated without demonstrating biological recovery. These three figures are shown as separate bars because adding them into a single pie would imply a shared global census that does not exist here. Their strongest message is the contrast in scale alongside the importance of knowing where, when and how each estimate was made.

Sources: African savanna elephant, African forest elephant, Asian elephant. These figures are not contemporaneous global totals.

African forest elephant

This African forest elephant illustrates the middle bar in the population comparison above. Forest elephants live in habitats where a simple aerial headcount is difficult, so researchers must use methods suited to dense vegetation. The African Forest Elephant Status Report 2024, published in 2025, combined evidence from surveys undertaken between 2016 and 2022, including DNA-based approaches, to improve population estimates. Its central estimate of 135,690 animals comes with a substantial uncertainty interval. More animals detected through better methods do not automatically mean that the population has grown. The photograph shows an elephant in the open water of Dzanga Bai, a forest clearing.

JosepMGracia · CC BY-SA 4.0

3. Taxonomic subdivisions of selected large cats

The leopard has the greatest number of recognised subspecies within this selected group under the Cat Specialist Group’s 2017 framework. The cheetah follows, while the tiger, lion and cougar are each divided into two subspecies. Jaguar and snow leopard are treated as monotypic in that framework, meaning they are not divided into recognised subspecies. Each is represented by one undivided species unit so that its presence remains visible in the chart.

Taxonomy describes how scientists classify biological variation; it is not a ranking of abundance, ecological importance or evolutionary success. A species with more named subspecies does not necessarily have more animals or greater measured genetic diversity. Classification can also change when new genetic, anatomical and geographic evidence becomes available. The framework used here is identified explicitly because the specialist group is reviewing cat classification. Using one consistent reference avoids combining older regional names with newer classifications, a mixture that can produce misleading comparisons even when each name has appeared in a publication.

Source: IUCN Cat Specialist Group, 2017 classification. One unit denotes a monotypic species; other values count recognised subspecies.

4. Selected great-ape population estimates and thresholds

Fishes contribute the largest number of assessed species and the largest absolute number classified as threatened among these five vertebrate groups. Amphibians have fewer assessed species than birds or reptiles, yet their threatened total is substantially larger than either. The stacked bars make both the size of the assessed pool and the threatened component visible, helping distinguish a large count from a large proportion.

Red represents species classified as Vulnerable, Endangered or Critically Endangered in the 2025-1 Red List release. The grey remainder includes all other assessed categories, including Data Deficient and extinct species; it should not be interpreted as a block of species known to be safe. Assessment coverage also varies between groups. A group with many unassessed species cannot be assumed to have the same risk profile as those already evaluated. Chart 10 expresses these same data as percentages, allowing a complementary comparison alongside the absolute numbers retained here.

Source: IUCN Red List 2025-1, Table 1b. Other assessed categories do not mean “safe”.

Red-eyed tree frog

The red-eyed tree frog provides a colourful example of the amphibians represented in the chart above. Amphibians account for 2,873 threatened species in the 2025-1 Red List release used here, a particularly substantial share of those assessed. That group-level result should not be read as the conservation status of every frog species, including the individual species pictured. The photograph was taken at Lapa Rios in Costa Rica and shows the contrasting green body, blue flanks and red eyes that make this frog so recognisable. Its place on the page connects a broad statistical category with one of its living members.

Charles J. Sharp · CC BY-SA 3.0

6. Relative brain size in selected mammals

Encephalization quotient, usually shortened to EQ, compares an animal’s brain size with an expected value based on body size. The selected dolphins have higher values than the primates in this particular published comparison. That pattern describes relative brain size under a mathematical reference model. It does not mean that the animals have been given an intelligence test, nor that their cognitive abilities can be arranged in a simple universal order.

A useful comparison needs consistent measurements and definitions. These values therefore come from one published table rather than mixing figures calculated under different conventions. Even then, body mass, sampling and the reference relationship influence the result. Behaviour, sensory specialisation and the organisation of neural tissue are not captured by one ratio. The related scatter plot in chart 8 separates brain mass from body mass so that readers can see why absolute and relative size answer different questions. Both visualisations use the same eight animals and the same published measurements.

Source: Cairó (2011), Table 1, selected non-human mammal measurements. EQ is a relative-size index, not an IQ score.

7. Selected vertebrate longevity records and estimates

The Greenland shark stands well above the other selected vertebrates, with a central age estimate approaching four centuries. Bowhead whales and rougheye rockfish also exceed two hundred years in the database used here. The comparison includes both fishes and reptiles alongside a mammal, showing that exceptional longevity occurs in several very different animal lineages. The figures describe selected maximum records or estimates, not the lifespan that a typical individual should be expected to reach.

Evidence quality and recording conditions matter. Some entries come from wild animals whose ages were estimated, while others describe individuals maintained in captivity. The animal table identifies whether each lifespan record comes from a wild or captive animal. All values are taken from the same AnAge release, which makes the comparison reproducible but does not claim to include every subsequently reported record. Particularly striking claims need supporting evidence: a long-lived individual, an uncertain age estimate and an average life expectancy are three distinct quantities. The shark photograph below explains the estimation behind the largest bar.

Source: AnAge, build 15 (2023), João Pedro de Magalhães / HAGR; CC BY 3.0 data terms. Greenland shark: Nielsen et al. (2016).

Greenland shark

The Greenland shark leads the longevity comparison above, but its age requires careful wording. A 2016 study used radiocarbon measurements from eye-lens material to estimate the ages of female sharks. The largest specimen, measuring 502 centimetres, was estimated at 392 years old, with a reported probability interval extending roughly 120 years either side. This is evidence of exceptional longevity rather than a directly observed birthday. The pictured shark is a separate animal photographed during an ocean exploration, not the specimen aged in that study. Its inclusion highlights why an impressive record should be presented together with the method and uncertainty.

NOAA Okeanos Explorer Program; enhancement by Zlois · Public domain

8. Brain mass versus body mass in selected mammals

A scatter plot reveals information that is hidden when animals are arranged only by a single index. Each point combines body mass on the horizontal axis with brain mass on the vertical axis. The bottlenose dolphin and western gorilla have similar body masses in this dataset, but their reported brain masses differ considerably. The northern right whale dolphin also has a relatively large brain within the range of animals shown.

The smaller primates cluster toward the lower-left corner because both their bodies and brains are lighter. Their positions do not imply a corresponding ranking of learning ability or behavioural complexity. The chart is deliberately limited to the same eight non-human mammals used in the EQ comparison, making it possible to move between raw measurements and the derived index. A wider selection could change the apparent relationship substantially. No fitted trend line is added to this small, selected sample, and the chart should not be used to infer how brain mass scales across all mammals.

Source: Cairó (2011), Table 1. Same selected measurements as chart 6; body mass in kg and brain mass in g.

9. Global mammal biomass by broad group

Domesticated mammals and humans account for most of the mammal biomass in this rounded global comparison. Wild marine mammals contribute a smaller share, and wild land mammals a smaller share again. The result differs sharply from a species-count chart: one very numerous, heavy species can contribute more mass than many small species combined. Biomass therefore offers a distinct view of humanity’s relationship with the rest of the mammal world.

The units are millions of tonnes of wet mass, so the segments represent weight rather than numbers of individuals, occupied habitat or ecological value. Domesticated mammals include animals maintained by people, including livestock and pets. The study’s estimates also carry uncertainty, especially for wild animals that are difficult to count. Rounded values make the broad contrast readable without suggesting exact precision. The green and blue-green segments distinguish terrestrial and marine wildlife, while the warm domesticated segment separates that human-managed group. These proportions apply to mammals only, not to all animals or all life.

Source: Greenspoon et al. (2023), The global biomass of wild mammals. Rounded wet-mass estimates; chart totals 1,080 million tonnes.

10. Threatened share of assessed vertebrates

Amphibians move to the top when threatened species are expressed as a share of all species assessed in each group. Mammals follow, while fishes have a smaller percentage despite the larger threatened count shown earlier. This reversal illustrates why totals and proportions should be viewed together. A large assessed pool can produce a large threatened count even when the fraction affected is lower.

Every bar has the same length, with red showing the threatened share and grey the remainder. The denominator includes all assessed species in the chosen release, including Data Deficient and extinct categories. Consequently, these percentages are not the Red List’s separate best estimates of extinction risk among living, data-sufficient species. They answer the narrower question of how the assessed records are distributed. The same definitions are used across all five groups, and the preceding count chart supplies the corresponding absolute totals. This consistency supports comparison while avoiding the assumption that unassessed or poorly documented species are free from threats.

Calculated from IUCN Red List 2025-1, Table 1b. Denominator: all assessed species, not only extant data-sufficient species.

11. African rhino populations, 2018–2024

White rhinos remain more numerous than black rhinos in these African population estimates, but the two series move in different directions. The white rhino total is lower in 2024 than in 2018, whereas the black rhino total rises across the three selected observations. Showing the species separately prevents the larger white rhino population from concealing the black rhino pattern within a combined total.

The observations are spaced three years apart. The joining lines help readers follow the series, but they do not show every annual movement between those dates. Published estimates can also be revised as survey coverage and methods change, so differences between successive reports should be interpreted with that qualification. The IUCN’s 2025 reporting highlighted drought and other pressures as well as poaching. Population totals alone cannot separate the effects of those causes. The photograph below connects the lighter series to a white rhinoceros, and the linked reports provide the original estimates for both species.

Sources: IUCN report (2022), 2018 and 2021 estimates; IUCN report (2025), 2024 estimates. Three-year intervals; intermediate annual fluctuations not shown.

White rhinoceros

This white rhinoceros was photographed in Kruger National Park, South Africa, and relates to the lighter line immediately above. The reported African population fell from 18,067 in 2018 to 15,752 in 2024, although the intervening path was not a steady decline. White and black rhinos face different population trajectories, which is why their totals are plotted separately. The 2025 IUCN report highlighted drought and other pressures alongside poaching when discussing recent losses. A substantial remaining population can still require intensive protection. This photograph gives a face to that wider trend without implying that the pictured individual represents a particular survey count.

Charles J. Sharp / Sharp Photography · CC BY-SA 4.0

12. Gestation lengths in selected mammals

The African bush elephant has the longest gestation among these selected mammals, at about twenty-two months in the database. White rhinos and giraffes also carry their young for well over a year, whereas rabbits and house mice complete pregnancy in a small fraction of that time. The comparison makes the range of mammalian reproductive schedules visible using a single consistent unit: days.

Gestation is only one part of reproductive pace. Litter size, age at maturity, survival and the interval before another birth all influence how quickly a population can grow. A long pregnancy therefore does not by itself predict a species’ conservation status, but it helps explain why replacing lost adults may be slow in some large mammals. These are selected database values rather than fixed durations for every individual. They also do not measure total parental care after birth. Read alongside the rhino population chart, the figures add biological context to the time required for recovery and the importance of protecting breeding animals.

Source: AnAge, build 15 (2023), João Pedro de Magalhães / HAGR. Data licensed CC BY 3.0; days shown as published.

13. Animal kingdom data table

Compare 84 animals by body weight, longevity and reproduction. Scroll down and sideways to explore the table. Values come from AnAge build 15 (2023); a dash means no value is supplied. Maximum lifespans are individual records or estimates, not average life expectancy. Weight and reproductive values vary between individuals. Gestation applies to mammals; incubation applies to egg-laying species. Young per litter or clutch may be an average. Scientific names follow the source dataset.

AnimalScientific nameAnimal groupAdult weight (kg)Maximum recorded lifespan (years)Lifespan record: wild / captiveGestation / incubation (days)Young per litter / clutch
African bush elephantLoxodonta africanaMammal480065Captive6701
African clawed frogXenopus laevisAmphibian0.1330.3Captive2—
American alligatorAlligator mississippiensisReptile15077Captive——
American bisonBison bisonMammal63033.5Captive2741
American black bearUrsus americanusMammal154.2534Captive702
American bullfrogLithobates catesbeianusAmphibian0.054416Captive4—
Bactrian camelCamelus bactrianusMammal47535.4Captive3951
Bald eagleHaliaeetus leucocephalusBird3.17548Captive352
Barn owlTyto albaBird0.5834Wild336
Bigmouth buffaloIctiobus cyprinellusBony fish17.545112Wild——
Black rhinocerosDiceros bicornisMammal110057Wild4741
Blue sharkPrionace glaucaCartilaginous fish113.2520Wild—30
Blue whaleBalaenoptera musculusMammal1.36e+05110Wild3501
Boa constrictorBoa constrictorReptile3.53240.4Captive12535
Bowhead whaleBalaena mysticetusMammal1e+05211Wild3961
Brown bearUrsus arctosMammal277.540Captive1032
Cane toadRhinella marinaAmphibian0.1062524.8Captive210000
CapybaraHydrochoerus hydrochaerisMammal5515.1Captive1504.8
CheetahAcinonyx jubatusMammal53.520.5Captive883
ChimpanzeePan troglodytesMammal44.98368Captive2291
Common carpCyprinus carpioBony fish10.647Captive43e+05
Common ravenCorvus coraxBird1.041269Captive195
CougarPuma concolorMammal6327Captive922.5
CoyoteCanis latransMammal13.2521.8Captive636
Domestic goatCapra hircusMammal6120.8Captive1551.5
DromedaryCamelus dromedariusMammal43428.4Captive4051
EmuDromaius novaehollandiaeBird38.92516.6Captive——
European bisonBison bonasusMammal61026.4Captive2701
European eelAnguilla anguillaBony fish3.629488Captive——
European fire salamanderSalamandra salamandraAmphibian0.019124Captive——
European rabbitOryctolagus cuniculusMammal1.813Captive305
Galapagos tortoiseChelonoidis nigraReptile—177Captive——
Giant pandaAiluropoda melanoleucaMammal117.536.8Captive481.5
GiraffeGiraffa camelopardalisMammal80039.5Captive4571
Golden eagleAquila chrysaetosBird4.848Captive402
Great white sharkCarcharodon carchariasCartilaginous fish187050Wild—6
Green sea turtleChelonia mydasReptile16075Unspecified59150
Greenland sharkSomniosus microcephalusCartilaginous fish—392Wild——
Hamadryas baboonPapio hamadryasMammal1837.5Captive1711
Harbor sealPhoca vitulinaMammal11547.6Captive2531
HippopotamusHippopotamus amphibiusMammal375061.2Captive2341
HorseEquus caballusMammal30057Captive3371
House mouseMus musculusMammal0.02054Captive197
Humpback whaleMegaptera novaeangliaeMammal3000095Wild3421
JaguarPanthera oncaMammal81.1528Captive992
Killer whaleOrcinus orcaMammal3987.590Wild4351
King cobraOphiophagus hannahReptile822.5Captive——
King penguinAptenodytes patagonicusBird13.03727Wild——
KoalaPhascolarctos cinereusMammal9.322.1Captive311
Komodo dragonVaranus komodoensisReptile8762Wild4922
Lake sturgeonAcipenser fulvescensBony fish70152Wild63.5e+05
LeopardPanthera pardusMammal53.7527.3Captive972
LionPanthera leoMammal17528Captive1093
Loggerhead sea turtleCaretta carettaReptile156.577Wild60115
MallardAnas platyrhynchosBird1.048129.1Unspecified269
MeerkatSuricata suricattaMammal0.77620.6Captive774
Mute swanCygnus olorBird8.340Wild365.3
Nile crocodileCrocodylus niloticusReptile94.256Captive——
Norway ratRattus norvegicusMammal0.33.8Captive219.9
OlmProteus anguinusAmphibian0.017102Wild13335
Orange roughyHoplostethus atlanticusBony fish3.85149Wild——
OrangutanPongo pygmaeusMammal64.47559Captive2491
OstrichStruthio camelusBird11150Captive——
Peregrine falconFalco peregrinusBird0.8425Unspecified303
Polar bearUrsus maritimusMammal47543.8Captive652
Red foxVulpes vulpesMammal4.131721.3Captive525
Red kangarooMacropus rufusMammal5525Captive331
Rhesus monkeyMacaca mulattaMammal8.23540Captive1651
Ring-tailed lemurLemur cattaMammal2.55537.3Captive1351.1
Rougheye rockfishSebastes aleutianusBony fish0.495205Wild——
Saltwater crocodileCrocodylus porosusReptile20057Captive——
Scarlet macawAra macaoBird1.0433Captive——
Sea otterEnhydra lutrisMammal25.8527Captive1401
Snow leopardUncia unciaMammal5021.2Captive962
Snowy owlBubo scandiacusBird2.042528Captive326
Southern cassowaryCasuarius casuariusBird4430Captive——
Sperm whalePhyseter macrocephalusMammal2850077Wild5021
TigerPanthera tigrisMammal119.726.3Captive1052.5
Tiger salamanderAmbystoma tigrinumAmphibian0.00940225Captive2837
Tiger sharkGaleocerdo cuvierCartilaginous fish444.0750Wild—31.5
TuataraSphenodon punctatusReptile0.4390Captive——
Water buffaloBubalus bubalisMammal72534.9Captive3111.375
Whale sharkRhincodon typusCartilaginous fish1870054Wild—300
White rhinocerosCeratotherium simumMammal217545Captive5151

Image credits and licence links appear beside each photograph. Commons photographs are linked from their verified file locations and remain the work of the credited creators. The source page’s featured banner is retained. AnAge values use build 15 (2023); newer individual records may exist.