Country-wise IQ data · 2026

Average IQ
by country.

201 countries & territories
<7575–7980–8485–8990–9495–99100+No data

Every ranking you have seen traces back to one dataset. Here it is in full — mapped, searchable and sorted — together with the part almost nobody publishes: which of these numbers are measurements, which are guesses, and why a national average tells you nothing at all about you.

Japan 107.01 highest 64.0 points top to bottom 26% never actually tested
201Countries ranked
617,581People sampled
669Source studies
IIFPartnership
At a glance

What the country IQ table actually says

The short version, before the detail. Every figure below is taken from the same published dataset and can be checked against the full table further down this page.

Key findings

  • Japan has the highest figure in the dataset at 107.01, ahead of Taiwan (106.47) and Singapore (105.89).
  • The lowest listed figure is Nepal at 42.99 — a value the dataset’s own author later disowned, and one we would not republish without that warning.
  • 13 countries sit at or above 100 — but two of those thirteen, including the sixth-placed entry, have never been given an IQ test at all.
  • 53 of the 201 entries (26%) have no test data of any kind. Their score is an average of whichever neighbours do.
  • Sample sizes behind the measured countries run from 19 people (Angola) to 62,649 (United States). We publish the sample size for every one.
  • The unweighted mean of all 201 entries is 81.90; weighted by population the dataset’s own total is 86.05.
The map

Average IQ by country, mapped

Darker blue is a higher published figure; orange is lower. Grey means the dataset has nothing for that territory at all. Hover or tap any country for its score and rank.

Published national IQ estimates, 201 countries

Lynn & Becker, The Intelligence of Nations (2019) — NIQ dataset V1.3.2, QNW+SAS+GEO column

<7575–7980–8485–8990–9495–99100+No data

Small island states and micro-states are drawn as dots so they stay visible at this scale. Countries shown in grey — including Greenland and Western Sahara — have no entry in the dataset.

See every country in the table

The map shows countries. It cannot show you.

Individual scores inside any country span roughly 70 to 130. The only number that describes you is your own — and it takes about twenty minutes to get it.

Take the IQ test
The top of the table

Countries with the highest average IQ

The leading group has barely changed across every version of this dataset since 2002: a tight cluster of East Asian economies, followed by northern and central Europe.

1Flag of Japan

Japan

107.01Average IQ
2Flag of Taiwan

Taiwan

106.47Average IQ
3Flag of Singapore

Singapore

105.89Average IQ

The top 25, ranked

1Flag of JapanJapan107.01
2Flag of TaiwanTaiwan106.47
3Flag of SingaporeSingapore105.89
4Flag of Hong KongHong Kong105.37
5Flag of ChinaChina104.10
6Flag of North KoreaNorth Korea103.76
7Flag of South KoreaSouth Korea102.35
8Flag of BelarusBelarus101.60
9Flag of FinlandFinland101.20
10Flag of LiechtensteinLiechtenstein101.07
11Flag of GermanyGermany100.74
12Flag of NetherlandsNetherlands100.74
13Flag of EstoniaEstonia100.72
14Flag of LuxembourgLuxembourg99.87
15Flag of MacauMacau99.82
16Flag of CambodiaCambodia99.75
17Flag of CanadaCanada99.52
18Flag of AustraliaAustralia99.24
19Flag of HungaryHungary99.24
20Flag of SwitzerlandSwitzerland99.24
21Flag of United KingdomUnited Kingdom99.18
22Flag of GreenlandGreenland98.89
23Flag of SloveniaSlovenia98.60
24Flag of New ZealandNew Zealand98.57
25Flag of AustriaAustria98.38

Three things are worth noticing about this list before drawing any conclusion from it.

The margins are tiny. First place and tenth place are separated by under six points — less than half a standard deviation, and well inside the measurement error of most IQ tests. Treating a ranking built on those margins as a league table of national ability is not something the data supports.

The leaders share circumstances, not ancestry. The countries at the top have long compulsory schooling, near-universal literacy, low childhood disease burden and a culture in which formal testing is routine from an early age. Those are exactly the conditions known to raise measured scores.

The same countries lead PISA. Singapore, Japan, South Korea, Taiwan, Hong Kong and Macau occupy the top of the OECD's international student assessments as well. Two different instruments pointing the same way tells you the schooling effect is real; it does not tell you the cause is innate.

The full dataset

Average IQ by country: all 201

Search for a country, filter by region, or sort any column. Values are read directly from the published dataset without alteration — including the ones we think are wrong, which are discussed below. The Sample column is the part every other ranking leaves out: est. means no test data of any kind, and sch. means school tests rather than an IQ study.

Average IQ by country, ranked highest to lowest
Rank Country Average IQ Region Sample
1Flag of JapanJapan3,207 in 6 studies107.01East Asia3,207 in 6 studies
2Flag of TaiwanTaiwan10,008 in 7 studies106.47East Asia10,008 in 7 studies
3Flag of SingaporeSingapore1,593 in 5 studies105.89Southeast Asia1,593 in 5 studies
4Flag of Hong KongHong Kong22,021 in 8 studies105.37East Asia22,021 in 8 studies
5Flag of ChinaChina51,500 in 6 studies104.10East Asia51,500 in 6 studies
6Flag of North KoreaNorth Korea est.no data103.76East Asiano data
7Flag of South KoreaSouth Korea3,586 in 4 studies102.35East Asia3,586 in 4 studies
8Flag of BelarusBelarus13,824 in 2 studies101.60Europe13,824 in 2 studies
9Flag of FinlandFinland1,536 in 3 studies101.20Europe1,536 in 3 studies
10Flag of LiechtensteinLiechtenstein sch.school tests101.07Europeschool tests
11Flag of GermanyGermany8,445 in 12 studies100.74Europe8,445 in 12 studies
12Flag of NetherlandsNetherlands10,581 in 11 studies100.74Europe10,581 in 11 studies
13Flag of EstoniaEstonia6,688 in 3 studies100.72Europe6,688 in 3 studies
14Flag of LuxembourgLuxembourg sch.school tests99.87Europeschool tests
15Flag of MacauMacau sch.school tests99.82East Asiaschool tests
16Flag of CambodiaCambodia3,181 in 3 studies99.75Southeast Asia3,181 in 3 studies
17Flag of CanadaCanada4,229 in 10 studies99.52North America4,229 in 10 studies
18Flag of AustraliaAustralia5,962 in 6 studies99.24Oceania5,962 in 6 studies
19Flag of HungaryHungary7,848 in 2 studies99.24Europe7,848 in 2 studies
20Flag of SwitzerlandSwitzerland1,636 in 5 studies99.24Europe1,636 in 5 studies
21Flag of United KingdomUnited Kingdom6,960 in 6 studies99.18Europe6,960 in 6 studies
22Flag of GreenlandGreenland est.no data98.89North Americano data
23Flag of SloveniaSlovenia8,569 in 7 studies98.60Europe8,569 in 7 studies
24Flag of New ZealandNew Zealand5,949 in 5 studies98.57Oceania5,949 in 5 studies
25Flag of AustriaAustria390 in 4 studies98.38Europe390 in 4 studies
26Flag of IcelandIceland550 in 2 studies98.26Europe550 in 2 studies
27Flag of DenmarkDenmark750 in 2 studies97.83Europe750 in 2 studies
28Flag of BelgiumBelgium1,112 in 3 studies97.49Europe1,112 in 3 studies
29Flag of United StatesUnited States62,649 in 58 studies97.43North America62,649 in 58 studies
30Flag of NorwayNorway369 in 3 studies97.13Europe369 in 3 studies
31Flag of SwedenSweden1,241 in 2 studies97.00Europe1,241 in 2 studies
32Flag of FranceFrance4,676 in 5 studies96.69Europe4,676 in 5 studies
33Flag of PolandPoland8,864 in 9 studies96.35Europe8,864 in 9 studies
34Flag of SlovakiaSlovakia833 in 1 study96.32Europe833 in 1 study
35Flag of RussiaRussia1,290 in 3 studies96.29Europe1,290 in 3 studies
36Flag of LithuaniaLithuania1,779 in 3 studies95.89Europe1,779 in 3 studies
37Flag of CroatiaCroatia1,003 in 3 studies95.75Europe1,003 in 3 studies
38Flag of AndorraAndorra est.no data95.20Europeno data
39Flag of IrelandIreland466 in 3 studies95.13Europe466 in 3 studies
40Flag of Czech RepublicCzech Republic363 in 1 study94.92Europe363 in 1 study
41Flag of LatviaLatvia146 in 1 study94.79Europe146 in 1 study
42Flag of ItalyItaly5,717 in 5 studies94.23Europe5,717 in 5 studies
43Flag of New CaledoniaNew Caledonia est.no data93.92Oceaniano data
44Flag of VanuatuVanuatu est.no data93.92Oceaniano data
45Flag of SpainSpain4,299 in 7 studies93.90Europe4,299 in 7 studies
46Flag of BermudaBermuda618 in 4 studies93.48North America618 in 4 studies
47Flag of CyprusCyprus3,513 in 2 studies93.39Middle East3,513 in 2 studies
48Flag of PortugalPortugal1,989 in 3 studies92.87Europe1,989 in 3 studies
49Flag of IsraelIsrael3,705 in 6 studies92.43Middle East3,705 in 6 studies
50Flag of BarbadosBarbados117 in 2 studies91.60Latin America117 in 2 studies
51Flag of MaltaMalta172 in 3 studies91.27Europe172 in 3 studies
52Flag of MyanmarMyanmar est.no data91.20Southeast Asiano data
53Flag of MongoliaMongolia708 in 1 study91.03East Asia708 in 1 study
54Flag of BulgariaBulgaria1,671 in 2 studies90.99Europe1,671 in 2 studies
55Flag of GreeceGreece1,584 in 3 studies90.77Europe1,584 in 3 studies
56Flag of SurinameSuriname est.no data90.29Latin Americano data
57Flag of UkraineUkraine132 in 1 study90.07Europe132 in 1 study
58Flag of MoldovaMoldova sch.school tests89.98Europeschool tests
59Flag of SerbiaSerbia4,877 in 12 studies89.60Europe4,877 in 12 studies
60Flag of VietnamVietnam917 in 3 studies89.53Southeast Asia917 in 3 studies
61Flag of IraqIraq2,976 in 3 studies89.28Middle East2,976 in 3 studies
62Flag of UzbekistanUzbekistan51 in 1 study89.01Central Asia51 in 1 study
63Flag of ThailandThailand15,323 in 17 studies88.92Southeast Asia15,323 in 17 studies
64Flag of KazakhstanKazakhstan617 in 3 studies88.89Central Asia617 in 3 studies
65Flag of ArmeniaArmenia sch.school tests88.82Middle Eastschool tests
66Flag of Bosnia and HerzegovinaBosnia and Herzegovina505 in 2 studies88.54Europe505 in 2 studies
67Flag of Costa RicaCosta Rica153 in 2 studies88.34Latin America153 in 2 studies
68Flag of BhutanBhutan est.no data87.94South Asiano data
69Flag of ChileChile2,393 in 5 studies87.89Latin America2,393 in 5 studies
70Flag of MexicoMexico1,590 in 4 studies87.73Latin America1,590 in 4 studies
71Flag of TajikistanTajikistan674 in 1 study87.71Central Asia674 in 1 study
72Flag of UruguayUruguay sch.school tests87.59Latin Americaschool tests
73Flag of BruneiBrunei est.no data87.58Southeast Asiano data
74Flag of MalaysiaMalaysia237 in 1 study87.58Southeast Asia237 in 1 study
75Flag of BahamasBahamas723 in 2 studies86.99Latin America723 in 2 studies
76Flag of RomaniaRomania2,801 in 3 studies86.88Europe2,801 in 3 studies
77Flag of TurkeyTurkey2,396 in 1 study86.80Middle East2,396 in 1 study
78Flag of ArgentinaArgentina6,110 in 5 studies86.63Latin America6,110 in 5 studies
79Flag of Sri LankaSri Lanka326 in 3 studies86.62South Asia326 in 3 studies
80Flag of MauritiusMauritius837 in 1 study86.56Sub-Saharan Africa837 in 1 study
81Flag of MontenegroMontenegro sch.school tests85.78Europeschool tests
82Flag of Trinidad and TobagoTrinidad and Tobago sch.school tests85.63Latin Americaschool tests
83Flag of TurkmenistanTurkmenistan est.no data85.49Central Asiano data
84Flag of AzerbaijanAzerbaijan sch.school tests84.81Middle Eastschool tests
85Flag of GeorgiaGeorgia sch.school tests84.50Middle Eastschool tests
86Flag of Turks and Caicos IslandsTurks and Caicos Islands est.no data84.29Latin Americano data
87Flag of ParaguayParaguay est.no data84.04Latin Americano data
88Flag of Cook IslandsCook Islands est.no data83.96Oceaniano data
89Flag of FijiFiji est.no data83.96Oceaniano data
90Flag of KiribatiKiribati est.no data83.96Oceaniano data
91Flag of Marshall IsandsMarshall Isands407 in 1 study83.96Oceania407 in 1 study
92Flag of MicronesiaMicronesia est.no data83.96Oceaniano data
93Flag of SamoaSamoa est.no data83.96Oceaniano data
94Flag of Solomon IslandsSolomon Islands est.no data83.96Oceaniano data
95Flag of TongaTonga est.no data83.96Oceaniano data
96Flag of CubaCuba2,040 in 3 studies83.90Latin America2,040 in 3 studies
97Flag of HaitiHaiti187 in 2 studies83.87Latin America187 in 2 studies
98Flag of BahrainBahrain1,018 in 1 study83.60Middle East1,018 in 1 study
99Flag of BrazilBrazil7,645 in 23 studies83.38Latin America7,645 in 23 studies
100Flag of GuyanaGuyana est.no data83.23Latin Americano data
101Flag of ColombiaColombia790 in 3 studies83.13Latin America790 in 3 studies
102Flag of VenezuelaVenezuela201 in 3 studies82.99Latin America201 in 3 studies
103Flag of Cayman IslandsCayman Islands est.no data82.24Latin Americano data
104Flag of AfghanistanAfghanistan est.no data82.12South Asiano data
105Flag of Dominican RepublicDominican Republic34 in 1 study82.05Latin America34 in 1 study
106Flag of United Arab EmiratesUnited Arab Emirates5,159 in 1 study82.05Middle East5,159 in 1 study
107Flag of Puerto RicoPuerto Rico9,606 in 22 studies81.99Latin America9,606 in 22 studies
108Flag of MacedoniaMacedonia sch.school tests81.91Europeschool tests
109Flag of AlbaniaAlbania sch.school tests81.75Europeschool tests
110Flag of LebanonLebanon200 in 2 studies81.70Middle East200 in 2 studies
111Flag of PhilippinesPhilippines3,145 in 3 studies81.64Southeast Asia3,145 in 3 studies
112Flag of PeruPeru2,702 in 9 studies81.44Latin America2,702 in 9 studies
113Flag of Mariana IslandsMariana Islands est.no data81.38Oceaniano data
114Flag of LaosLaos142 in 4 studies80.99Southeast Asia142 in 4 studies
115Flag of LibyaLibya7,000 in 9 studies80.92North Africa7,000 in 9 studies
116Flag of QatarQatar1,135 in 1 study80.78Middle East1,135 in 1 study
117Flag of JordanJordan3,904 in 4 studies80.70Middle East3,904 in 4 studies
118Flag of MaldivesMaldives est.no data80.54South Asiano data
119Flag of IranIran6,517 in 3 studies80.01Middle East6,517 in 3 studies
120Flag of Netherlands AntillesNetherlands Antilles96 in 1 study80.01Latin America96 in 1 study
121Flag of PakistanPakistan6,183 in 8 studies80.00South Asia6,183 in 8 studies
122Flag of GrenadaGrenada est.no data79.34Latin Americano data
123Flag of TunisiaTunisia sch.school tests79.22North Africaschool tests
124Flag of KyrgyzstanKyrgyzstan327 in 1 study79.09Central Asia327 in 1 study
125Flag of PanamaPanama sch.school tests79.00Latin Americaschool tests
126Flag of SeychellesSeychelles643 in 1 study78.76Sub-Saharan Africa643 in 1 study
127Flag of OmanOman14,627 in 6 studies78.70Middle East14,627 in 6 studies
128Flag of KuwaitKuwait15,346 in 4 studies78.64Middle East15,346 in 4 studies
129Flag of IndonesiaIndonesia2,327 in 18 studies78.53Southeast Asia2,327 in 18 studies
130Flag of Papua New GuineaPapua New Guinea est.no data78.53Oceaniano data
131Flag of Timor-LesteTimor-Leste est.no data78.53Southeast Asiano data
132Flag of EcuadorEcuador126 in 4 studies78.26Latin America126 in 4 studies
133Flag of ChadChad est.no data77.91Sub-Saharan Africano data
134Flag of SudanSudan41,001 in 18 studies77.91North Africa41,001 in 18 studies
135Flag of Gaza StripGaza Strip5,876 in 5 studies77.69Middle East5,876 in 5 studies
136Flag of SenegalSenegal est.no data77.40Sub-Saharan Africano data
137Flag of ComorosComoros est.no data77.07Sub-Saharan Africano data
138Flag of MadagascarMadagascar est.no data76.79Sub-Saharan Africano data
139Flag of Virgin IslandsVirgin Islands est.no data76.69Latin Americano data
140Flag of BoliviaBolivia156 in 3 studies76.53Latin America156 in 3 studies
141Flag of UgandaUganda2,759 in 3 studies76.42Sub-Saharan Africa2,759 in 3 studies
142Flag of Saudi ArabiaSaudi Arabia11,633 in 8 studies76.36Middle East11,633 in 8 studies
143Flag of EgyptEgypt23,147 in 9 studies76.32North Africa23,147 in 9 studies
144Flag of IndiaIndia20,299 in 20 studies76.24South Asia20,299 in 20 studies
145Flag of AlgeriaAlgeria sch.school tests76.00North Africaschool tests
146Flag of KenyaKenya3,528 in 8 studies75.20Sub-Saharan Africa3,528 in 8 studies
147Flag of AngolaAngola19 in 1 study75.10Sub-Saharan Africa19 in 1 study
148Flag of JamaicaJamaica1,256 in 16 studies75.08Latin America1,256 in 16 studies
149Flag of TanzaniaTanzania4,070 in 5 studies74.95Sub-Saharan Africa4,070 in 5 studies
150Flag of SyriaSyria6,012 in 6 studies74.41Middle East6,012 in 6 studies
151Flag of BangladeshBangladesh9,043 in 5 studies74.33South Asia9,043 in 5 studies
152Flag of ZimbabweZimbabwe1,842 in 1 study74.01Sub-Saharan Africa1,842 in 1 study
153Flag of Burkina FasoBurkina Faso4,635 in 1 study73.80Sub-Saharan Africa4,635 in 1 study
154Flag of Saint LuciaSaint Lucia est.no data73.68Latin Americano data
155Flag of MozambiqueMozambique est.no data72.50Sub-Saharan Africano data
156Flag of BurundiBurundi est.no data72.09Sub-Saharan Africano data
157Flag of NigerNiger est.no data70.85Sub-Saharan Africano data
158Flag of Antigua and BarbudaAntigua and Barbuda est.no data70.48Latin Americano data
159Flag of Saint Kitts and NevisSaint Kitts and Nevis est.no data70.48Latin Americano data
160Flag of BeninBenin4,054 in 1 study70.36Sub-Saharan Africa4,054 in 1 study
161Flag of RwandaRwanda est.no data69.95Sub-Saharan Africano data
162Flag of MalawiMalawi268 in 1 study69.70Sub-Saharan Africa268 in 1 study
163Flag of El SalvadorEl Salvador sch.school tests69.63Latin Americaschool tests
164Flag of BotswanaBotswana140 in 1 study69.45Sub-Saharan Africa140 in 1 study
165Flag of LesothoLesotho est.no data68.87Sub-Saharan Africano data
166Flag of South AfricaSouth Africa6,704 in 15 studies68.87Sub-Saharan Africa6,704 in 15 studies
167Flag of SwazilandSwaziland est.no data68.87Sub-Saharan Africano data
168Flag of EritreaEritrea764 in 4 studies68.77Sub-Saharan Africa764 in 4 studies
169Flag of Saint HelenaSaint Helena est.no data68.74Sub-Saharan Africano data
170Flag of ZambiaZambia est.no data68.43Sub-Saharan Africano data
171Flag of EthiopiaEthiopia707 in 6 studies68.42Sub-Saharan Africa707 in 6 studies
172Flag of CameroonCameroon est.no data67.80Sub-Saharan Africano data
173Flag of NigeriaNigeria13,372 in 10 studies67.80Sub-Saharan Africa13,372 in 10 studies
174Flag of SomaliaSomalia2,440 in 1 study67.67Sub-Saharan Africa2,440 in 1 study
175Flag of MoroccoMorocco2,018 in 7 studies67.03North Africa2,018 in 7 studies
176Flag of NamibiaNamibia103 in 1 study66.19Sub-Saharan Africa103 in 1 study
177Flag of DominicaDominica725 in 2 studies66.03Latin America725 in 2 studies
178Flag of Sao Tome and PrincipeSao Tome and Principe est.no data65.23Sub-Saharan Africano data
179Flag of DR CongoDR Congo549 in 8 studies64.92Sub-Saharan Africa549 in 8 studies
180Flag of TogoTogo est.no data63.47Sub-Saharan Africano data
181Flag of Saint Vincent and the GrenadinesSaint Vincent and the Grenadines174 in 1 study63.42Latin America174 in 1 study
182Flag of Republic of the CongoRepublic of the Congo88 in 1 study62.97Sub-Saharan Africa88 in 1 study
183Flag of GabonGabon est.no data62.97Sub-Saharan Africano data
184Flag of YemenYemen2,904 in 2 studies62.86Middle East2,904 in 2 studies
185Flag of BelizeBelize sch.school tests62.55Latin Americaschool tests
186Flag of Central African Rep.Central African Rep. est.no data62.55Sub-Saharan Africano data
187Flag of HondurasHonduras sch.school tests62.16Latin Americaschool tests
188Flag of MaliMali206 in 1 study59.76Sub-Saharan Africa206 in 1 study
189Flag of MauritaniaMauritania est.no data59.76Sub-Saharan Africano data
190Flag of South SudanSouth Sudan4,363 in 5 studies58.61Sub-Saharan Africa4,363 in 5 studies
191Flag of Ivory CoastIvory Coast est.no data58.16Sub-Saharan Africano data
192Flag of GhanaGhana4,515 in 5 studies58.16Sub-Saharan Africa4,515 in 5 studies
193Flag of GuineaGuinea est.no data53.48Sub-Saharan Africano data
194Flag of NicaraguaNicaragua2,062 in 3 studies52.69Latin America2,062 in 3 studies
195Flag of DjiboutiDjibouti2,770 in 1 study52.14Sub-Saharan Africa2,770 in 1 study
196Flag of Cape VerdeCape Verde est.no data51.54Sub-Saharan Africano data
197Flag of GambiaGambia2,591 in 6 studies49.78Sub-Saharan Africa2,591 in 6 studies
198Flag of GuatemalaGuatemala5,385 in 7 studies47.72Latin America5,385 in 7 studies
199Flag of LiberiaLiberia est.no data45.07Sub-Saharan Africano data
200Flag of Sierra LeoneSierra Leone119 in 2 studies45.07Sub-Saharan Africa119 in 2 studies
201Flag of NepalNepal2,242 in 9 studies42.99South Asia2,242 in 9 studies
Showing all 201 countriesSource: Lynn & Becker, The Intelligence of Nations (2019), quality-weighted column. About one country in four in this dataset has no sample of its own and carries a neighbour’s value. Download CSV

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A national average is one figure standing in for millions of people. Your percentile against the full distribution is the measurement that actually applies to you.

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The bottom of the table

The lowest figures — and what they measure

This is the part of the dataset that has drawn the heaviest criticism, and the part we would urge you to read most sceptically. We publish it because omitting it would be dishonest — not because we think these numbers mean what they appear to mean.

192Flag of GhanaGhana58.16
193Flag of GuineaGuinea53.48
194Flag of NicaraguaNicaragua52.69
195Flag of DjiboutiDjibouti52.14
196Flag of Cape VerdeCape Verde51.54
197Flag of GambiaGambia49.78
198Flag of GuatemalaGuatemala47.72
199Flag of LiberiaLiberia45.07
200Flag of Sierra LeoneSierra Leone45.07
201Flag of NepalNepal42.99

Read the bottom of this table with real caution

A national average below 60 would imply that most of a country's population meets the clinical threshold for intellectual disability. That is not what anyone observes in those countries, and it is not a conclusion the underlying studies can support. What such a figure usually reflects is a small, unrepresentative sample — often rural children, often tested in a second language, often on a test normed decades earlier on a different population, and often with no experience of formal testing at all.

Nepal’s listed value is the clearest example. Becker later published a corrigendum explaining that the Nepal, Sierra Leone, Guatemala and Gambia figures were produced by scoring errors, and the next revision of the dataset introduced a floor of 60 so that no sample could be reported below it. The version the whole internet still quotes — the one reproduced here — is the version from before that fix. We publish it because it is what circulates, and we flag it because it should not.

By region

Average IQ by region

Each figure below is the unweighted mean of the countries listed in that region — a simple average of national values, not a population-weighted one.

East Asia

102.5

The highest-scoring region in the dataset, and the one with the longest school years and the strongest test-taking culture.

8 countries · highest: Japan 107.0

Europe

95.0

Forty-one countries inside a twenty-point band, with the spread tracking east-west differences in schooling and income.

41 countries · highest: Belarus 101.6

North America

97.3

Only four entries: Canada, Greenland, the United States and Bermuda. Canada and the US are two points apart, and the US figure rests on the largest sample in the whole dataset.

4 countries · highest: Canada 99.5

Oceania

86.9

Australia and New Zealand score near 99; every Pacific island state carries one shared estimated value, not a measurement.

14 countries · highest: Australia 99.2

Southeast Asia

88.2

A 27-point internal spread: Singapore leads the world, and Timor-Leste and Indonesia share a value 27 points below it.

11 countries · highest: Singapore 105.9

Central Asia

86.0

Five post-Soviet republics with inherited Soviet-era schooling systems and comparatively few modern samples.

5 countries · highest: Uzbekistan 89.0

Middle East

82.0

Gulf states with high income score no higher than middle-income neighbours, which is itself evidence against a simple wealth story.

19 countries · highest: Cyprus 93.4

Latin America

78.2

Thirty-eight countries spanning 44 points, from Barbados to Guatemala. Scores track years of schooling far more closely than they track GDP.

38 countries · highest: Barbados 91.6

North Africa

76.2

Six countries in the high 70s, with literacy and school-completion rates that lag the Mediterranean north.

6 countries · highest: Libya 80.9

South Asia

76.3

Sample quality is the dominant issue here: several values rest on small, unrepresentative or decades-old studies.

8 countries · highest: Bhutan 87.9

Sub-Saharan Africa

66.9

The most contested figures in the dataset. Wicherts and colleagues re-analysed these samples and reached materially different numbers.

47 countries · highest: Mauritius 86.6
Provenance

Where these numbers actually come from

Almost every "average IQ by country" page on the internet — including the ones that rank above this one — is republishing the same single dataset. It is worth knowing what that dataset is.

The source is Richard Lynn and David Becker’s The Intelligence of Nations (2019), published by the Ulster Institute for Social Research, and the NIQ dataset released alongside it. The figures on this page are the QNW+SAS+GEO column of dataset version 1.3.2, read directly from Becker’s published workbook rather than from a secondary copy. It pools 669 studies covering 617,581 people and converts each onto a common scale anchored to a British mean of 100.

A note on where our numbers came from

Most “average IQ by country” pages copy one another. We checked, and the widely circulated list is wrong in 22 places — it puts Japan at 106.48 rather than 107.01, North Korea at 98.82 rather than 103.76 and Djibouti at 68.41 rather than 52.14, and it drops two entries altogether. Every figure here was read out of the original workbook instead, which is also how we can tell you which values are measurements and which are not.

A quarter of the table was never tested

Of the 201 entries, only 130 rest on actual IQ studies. Another 18 are derived from school-assessment scores rather than an IQ test. The remaining 53 — 26% of the table — have no test data of any kind; their figure is an average of the neighbouring countries that do.

This is not a footnote. North Korea ranks sixth in the world on this table, at 103.76, and there is no IQ study of North Korea in the dataset at all — the number is inferred from its neighbours. Liechtenstein, tenth at 101.07, has no IQ study either. Two of the thirteen countries scoring above 100 got there without anyone being tested.

You can see the mechanism in the table above without taking our word for it. Search for Fiji: it sits on 83.96, and so do the Solomon Islands, Samoa, Kiribati, Micronesia, Tonga, the Marshall Islands and the Cook Islands — identical to two decimal places. That is not eight findings. It is one estimate printed eight times.

Where that estimating step can be checked against real school testing, it does not work: for the countries whose value is purely geographic guesswork, the imputed figure correlates r = −0.376 with independently derived achievement scores — a negative relationship.

The samples were never designed to represent nations

A nationally representative cognitive survey is expensive, and very few countries have ever run one. What exists instead is a patchwork: school classes, army recruits, university volunteers, clinical comparison groups. The United States entry pools 62,649 people across 58 studies. Angola’s rests on 19 people in a single study; the Dominican Republic’s on 34; Uzbekistan’s on 51; Namibia’s on 103. Every one of those figures is printed to two decimal places, exactly like the American one. That is why we show the sample size beside every country.

The studies span seventy years, and scores moved over that time

Measured IQ rose substantially across the twentieth century — the Flynn effect. A study run in 1975 and a study run in 2015 are not on the same footing unless that drift is corrected for, and countries are not all represented by studies from the same era. Some of the gaps in this table are gaps in time as much as gaps in ability.

Why different websites give your country a different score

Because they are quoting different things. Some sites use the quality-weighted column of the 2019 dataset (the one on this page); others use the unweighted column, the older 2012 revision, or the 2002 Lynn & Vanhanen figures. A few publish averages from their own self-selected online visitors, which is a different measurement entirely and usually runs much higher. If two pages disagree about your country by ten points, the disagreement is almost always about which dataset — not about your country.

The criticism

How reliable is national IQ data?

Short answer: reliable enough to be interesting, nowhere near reliable enough to rank populations by intelligence. Here is the case against it, made properly rather than waved away.

Half the evidence was left out — and the half that was kept scored lower

This is the single most damaging finding against the dataset. When Wicherts, Dolan and van der Maas systematically reviewed the published IQ literature for sub-Saharan Africa, they found that the 11 samples Lynn had used averaged 67.4 (N = 2,056) — while the 27 comparable samples he had not used averaged 80.4 (N = 7,759). Same region, same era, same kinds of test. The difference was which studies made it into the pool.

Wicherts, Dolan & van der Maas (2010), Intelligence

And the only thing that predicted exclusion was the score itself

Following up across more than a hundred samples covering over 37,000 people, the same team examined the compilers’ judgements about which African samples were “unrepresentative”. Those judgements bore no relation to objective criteria such as stratified random sampling, or to what the original authors said about their own samples. What they tracked was the sample’s IQ. Low samples were kept; high ones were more likely to be judged unrepresentative.

Wicherts, Dolan, Carlson & van der Maas (2010)

By the compilers’ own coding, only a third of the samples are national

Sear’s audit — a preprint, not yet peer reviewed, but one whose figures we checked against the dataset ourselves — covers all 683 samples. Just 223 of them, 32.7%, are coded ‘national’ by Lynn and Becker themselves. The rest are regional (16.5%), urban (29.6%), rural (10.2%), or drawn from refugees and migrants tested outside their country of birth (1.8%). 37% of samples cover fewer than 1,000 people, and 30% of countries rest on a single sample.

Sear (2022)

There is no stated method, so nobody can replicate or audit it

The dataset publishes no search strategy and no inclusion or exclusion protocol. The full methodological description is that studies were “collected, selected according to suitability, corrected as necessary, and averaged”. The consequences show: a malaria sub-sample was excluded in Angola but an equivalent one included in Uganda. Decisions of that kind, made case by case with no rule, are exactly where the previous two findings come from.

Sear (2022)

A quarter of the countries were never tested at all

Lynn and Becker produced a figure from actual test data for 149 countries. The remaining 52 of 201 (25.9%) are imputed from the three countries with the longest shared land borders. Warne — the dataset’s most sympathetic serious auditor — recommends deleting them outright, and shows that where the imputation can be checked against real school testing it correlates r = −0.376 with achievement: a negative relationship.

Warne (2022), Evolutionary Psychological Science

Several of the primary studies say in their own abstracts that they should not be used this way

The study behind Mali’s national figure states plainly that use of the Raven’s test “may substantially underestimate the intelligence of children in Mali” and that this “can be particularly problematic when comparisons are made across cultures using the same test and norms.” A study behind the DR Congo figure carries a similar warning. Those cautions did not survive into the table.

Sear (2022), citing Dramé & Ferguson (2019)

Statistically, national IQ is close to indistinguishable from a development index

Wicherts, Borsboom and Dolan ran a principal components analysis of national IQ alongside 17 development and geography variables across 78 countries. A single component absorbed 65% of the variance, with national IQ loading 0.873 on it — sitting beside secondary-school enrolment (0.943), fertility (0.910), child mortality (0.908) and sanitation (0.895). On the numbers, it behaves like one more measure of how developed a country is.

Wicherts, Borsboom & Dolan (2010), Personality and Individual Differences

Even its most sympathetic auditor says it does not measure national intelligence

Warne set out to defend the dataset against wholesale rejection, and still concluded: “it is not justified to say that mean IQ score differences across nations reflect mean differences in intelligence.” His recommended reading of the figures is as a measure of current average developed cognitive performance — a phenotype, shaped by circumstances, not a fixed property of a people.

Warne (2022)

A learned society has formally asked researchers to stop using it

The European Human Behaviour and Evolution Association’s standing statement says these datasets “fall far short of the standards of scientific rigour, validity, and transparency required for reliable evolutionary research”, noting estimates “often based on extremely small, unrepresentative samples or on data from children”. Papers built on the dataset have been retracted: Clark et al. (2020) was withdrawn from Psychological Science at the authors’ own request after they judged some of the data “highly questionable”, and a Proceedings of the Royal Society B paper was retracted by its editors over the authors’ objection.

EHBEA statement on national IQ datasets; Bauer (2020)

And the dataset does not come without an agenda attached

Anyone republishing these numbers should say where they come from. Chapter 4 of The Intelligence of Nations lists strategies for raising national IQs; the fourth and fifth are “positive eugenics” and “negative eugenics”, discussed without reference to the human-rights record of such policies. We reproduce the data because it is already everywhere. We do not endorse the book it comes from, and we think you should know what it argues.

Sear (2022), quoting Lynn & Becker (2019), p.318

Where mainstream psychology actually stands

Measured differences between groups are real as measurements — nobody serious disputes that the numbers differ. What the evidence does not support is a genetic explanation for them. The American Psychological Association’s task force concluded there was no direct evidence favouring a genetic hypothesis, and the 2012 follow-up review by Nisbett, Flynn, Turkheimer and colleagues reported that this “conclusion stands today”. Their companion paper was titled, without hedging, Group differences in IQ are best understood as environmental in origin.

Two points are worth holding on to. An IQ score is a phenotype — a snapshot of developed performance under particular conditions — not a genotype. And high heritability within a population carries no logical implication about the cause of a difference between populations; that inference is a well-known statistical error, not a finding.

So why publish the table at all?

Because it is the dataset the whole internet is already quoting, almost always with none of the above attached. Anyone searching for their country’s average IQ will find these numbers within one click whatever we do. The useful thing is not to hide them — it is to publish them with the provenance, the sample sizes and the criticism in the same place, so the number can be weighed rather than simply believed.

What the data will support is modest and worth saying plainly: measured cognitive performance differs between countries; those differences track schooling, health and nutrition closely; and they move — sometimes by most of a standard deviation within two generations — when those conditions change. What it will not support is a ranking of peoples by innate ability.

The drivers

Why average scores differ between countries

Measured differences between countries are real as measurements. What produces them is much better understood than the rankings suggest — and almost all of it is environmental and changeable.

Years of schooling

The best-evidenced causal factor there is. A meta-analysis of 142 effect sizes across 615,812 people found that one additional year of education raises IQ by 1 to 5 points, depending on study design, with a headline estimate of 3.4 points — and the gain persists across the lifespan.

+1 to +5 IQ points per school year · Ritchie & Tucker-Drob (2018)

Iodine and early nutrition

Meta-analyses put the cost of iodine deficiency at roughly 7 to 13 IQ points — Qian and colleagues found a 12.45-point gap between children in iodine-sufficient communities and those in severely deficient areas, and supplementation during pregnancy recovers about 8.7 of them. Iodised salt is one of the cheapest interventions in public health, and its footprint is visible in national test data.

8–13.5 IQ points · Qian et al. (2005); Bougma et al. (2013)

Child health

Across 78 countries, national IQ correlates −0.84 with child mortality, −0.79 with neonatal mortality and +0.72 with access to sanitation. Repeated early infection, and the malnutrition that travels with it, cost development during the years when it matters most. (The once-cited “parasite stress” paper on this topic was later retracted; these correlations come from a separate, standing analysis.)

Wicherts, Borsboom & Dolan (2010), N = 78 countries

Familiarity with testing itself

A timed, abstract, multiple-choice reasoning test is a cultural artefact. People who have sat dozens of them since primary school perform better on them than equally able people who have never seen one. This is a measured effect, not a hypothetical one, and it maps almost exactly onto national schooling systems.

Practice and familiarity effects are well documented

Language and translation

A large share of the underlying studies tested people in a language that was not their first. Even “culture-fair” matrix tests come with spoken instructions, and comprehension of the instructions is scored as though it were reasoning ability.

A systematic downward bias, uncorrected in the headline figures

Income — but less than schooling

National income does correlate with these scores, at about r = 0.69 against log GDP per capita. Educational attainment correlates far more tightly, at r = 0.92. The Gulf states are the standing counter-example: among the highest GDP per capita in the world, with scores no higher than middle-income neighbours. Money that has not been converted into schooling and child health does not show up.

Meisenberg (2012); Lynn & Meisenberg (2010)

Our own explainer on the factors that affect IQ test results covers how several of these operate at the level of a single test sitting rather than a whole country.

Change over time

The Flynn effect — and the reversal

Measured IQ is not fixed at the level of a population either. It rose for most of the twentieth century, nearly everywhere it was measured, and in some rich countries it has since started falling again.

Scores rose by roughly three points per decade through the twentieth century — around thirty points in total. A person scoring exactly at the 1930s average would land near the second percentile against today’s norms. The meta-analytic estimate across 285 studies is 2.31 points per decade, rising to 2.93 on modern Wechsler and Stanford-Binet tests. Nothing about human biology changed over those hundred years. Schooling, nutrition, family size and the sheer amount of abstract symbolic work in ordinary life all did.

This matters directly for the table above: a country represented by a study from 1975 and a country represented by one from 2015 are not being compared on equal terms. Some of the spread in any national IQ ranking is a gap in when people were tested rather than in how they scored.

And in several rich countries it has reversed

9899100101102103196519701975198019851990peak 102.3 · born 1975rising +0.26/yrfalling to 99.4 by 1989BIRTH COHORT · 736,808 NORWEGIAN CONSCRIPTS

Norwegian male conscripts, birth cohorts 1962–1991. Scores climbed to a peak of 102.3 for the cohort born in 1975, then fell to 99.4 by the 1989 cohort — a loss of about three points in fourteen birth years. Because the decline shows up between brothers within the same families, it cannot be explained by immigration or by changing family composition. Whatever is driving it is environmental. Plotted from the trends reported in Bratsberg & Rogeberg (2018), PNAS, n = 736,808.

The same direction shows in international schooling data: average OECD performance in PISA fell 15 points in mathematics and 10 in reading between 2018 and 2022, the sharpest drop since the programme began. Whether that is a lasting reversal or a pandemic scar is still argued. Either way it undercuts any reading of a national IQ table as a permanent ordering of peoples — the countries at the top are the ones currently moving down.

Correlations

What national IQ tracks

National IQ estimates are not random noise. They correlate strongly with other measures of cognitive performance — which is exactly why the environmental explanation is the compelling one.

Here is what they actually track, from the published literature. National IQ correlates with educational attainment at r = 0.92, with international student assessments such as PISA and TIMSS at 0.85, with mean years of schooling at 0.76, with adult literacy at 0.64 — and with child mortality at −0.84. Against log GDP per capita it manages 0.69.

Notice the ordering. The tightest relationships are all with schooling and child health; income comes some way behind. And when Wicherts, Borsboom and Dolan placed national IQ in a principal components analysis alongside 17 development and geography indicators, a single component absorbed 65% of the variance, with national IQ loading 0.873 on it — right beside secondary-school enrolment at 0.943, fertility at 0.910, child mortality at 0.908 and sanitation at 0.895. Statistically, the measure behaves like one more indicator of a country’s development level.

SCHOOLING ALONE OUTWEIGHS THE GAP IT IS USED TO EXPLAINWhat the schooling gap alone is worth44.0 IQ pointsGermany 14.3 yrs vs Niger 1.4 yrs, at 3.4 points a yearThe regional gap it is used to explain32.5 IQ pointsEast Asia vs Sub-Saharan Africa, as published

The arithmetic that the rankings leave out. Mean years of schooling run from 14.3 in Germany to 1.4 in Niger. At the meta-analytic rate of 3.4 IQ points per additional school year, that 12.9-year gap is worth about 44 IQ points on its own — larger than the entire 32.5-point gap between the East Asian and sub-Saharan African regional averages that the table reports. One well-measured environmental variable more than accounts for the difference it is usually invoked to explain. Sources: UNDP Human Development Report; Ritchie & Tucker-Drob (2018).

The PISA cross-check

The OECD’s PISA programme tests fifteen-year-olds in 81 education systems on a common instrument, with proper sampling — everything the national IQ dataset lacks. Its 2022 leaders were Singapore (575 in mathematics), Macau, Taiwan, Japan, South Korea and Hong Kong, with Estonia the highest-scoring non-Asian system and Canada, Ireland and Switzerland close behind. That is very nearly the top of the IQ table, arrived at independently.

The instructive case is Vietnam: 34th in PISA, well above what its income or its average schooling would predict, and 60th in the IQ table at 89.5 — noticeably higher than its neighbours and its GDP per capita would suggest. Countries that invest early in schooling outperform their wealth on both measures. That is a policy finding, not a genetic one.

The overlap

Why a country average says nothing about you

This is the single most misread thing on this page, so it is worth showing rather than asserting. Two national distributions ten points apart still overlap almost completely.

557085100115130145Country A · avg 95Country B · avg 10574% overlapIQ SCORE

Two countries, ten points apart. Each curve is a full national distribution with a standard deviation of 15. The shaded region is the overlap: roughly three quarters of both populations fall inside it. Pick one person at random from the lower-scoring country and one from the higher-scoring country, and the person from the lower-scoring country scores higher about 32 times out of 100. A national average is a fact about a distribution. It is not a prediction about a person.

So stop reading the table and take the test.

Twenty minutes, scored against the full population curve, with your percentile, a certificate in your name and a breakdown of four reasoning abilities measured separately.

Get my IQ score
Reading a score

What counts as a good IQ score?

IQ is not a raw total. It is a position on a curve, built so that the population mean is 100 and the standard deviation is 15. That construction is what makes any of these comparisons possible.

5570851001151301452.3%13.6%34.1%34.1%13.6%2.3%2nd pctile16th pctile50th pctile84th pctile98th pctileIQ SCORE · MEAN 100 · SD 15

The IQ distribution. Half of all people score between 90 and 110. About 1 in 6 score above 115, roughly 1 in 44 above 130, and about 1 in 741 above 145. The same curve is used to place every score on this page, which is why a national average of 85 and one of 100 are only one standard deviation apart.

IQ bands, classifications, percentiles and rarity at SD 15
IQ rangeUsual labelPercentileHow common
130 and aboveVery superior / gifted97.7th and up1 in 44
120 – 129Superior90.9th – 97.7th1 in 11 at 120
110 – 119High average74.8th – 90.9th1 in 4 at 110
90 – 109Average25.2nd – 74.8th1 in 2
80 – 89Low average9.1st – 25.2nd1 in 11 at 80
70 – 79Borderline2.3rd – 9.1st1 in 44 at 70
Below 70Extremely lowBelow the 2.3rd1 in 44
Percentiles computed on a normal curve with mean 100 and standard deviation 15. Tests using SD 16, such as the older Stanford-Binet, place about a third more people above 130.

We go through this in more depth in IQ score ranges explained, the IQ level chart and IQ classifications. If you are curious where the threshold for the top tier sits, what counts as a genius IQ level covers it, and what an average IQ test score means is the companion piece to this page.

Country spotlights

A closer look at ten countries

The same figure means slightly different things depending on how it was collected. These are the countries people search for most, with the context the ranking alone leaves out.

Flag of India

India — 76.24

The most-searched figure on this page, and one of the least secure. India’s value rests largely on studies of rural schoolchildren, several of them decades old, tested on Western norms and often not in their first language — in a country with 22 official languages and enormous variation in school access. It is not a national measurement in any meaningful sense. Online tests taken by self-selected Indian visitors routinely return figures 15 to 20 points higher; that is not a contradiction, because a self-selected internet sample and a rural school sample are not measuring the same population.

Rank #144 of 201
Flag of United States

United States — 97.43

Backed by the largest sample in the dataset at 62,649 people, which makes it one of the more solid entries. Worth pairing with PISA 2022, where the US placed 18th overall — ninth in the world in reading but below the OECD average in mathematics. A single national number hides very large internal variation.

Rank #29 of 201
Flag of United Kingdom

United Kingdom — 99.18

The reference point for the whole scale: the Greenwich norm sets Britain at 100, and every other country in the table is expressed relative to it. That is a historical convention, not a statement about Britain — had the dataset been anchored elsewhere, every number on this page would shift together.

Rank #21 of 201
Flag of China

China — 104.10

Consistently near the top, and consistently drawn from urban and coastal samples that are not representative of the country as a whole. China’s PISA entries have similarly come from its wealthiest provinces. The score is real for the people tested; it is not a national average in the way the table implies.

Rank #5 of 201
Flag of Japan

Japan — 107.01

First in the table, and the entry with the least controversy attached: long compulsory schooling, near-universal literacy, low childhood disease burden and decades of well-documented testing. Japan also sits fourth in PISA 2022. Note the margin, though — first and tenth are separated by under six points.

Rank #1 of 201
Flag of Singapore

Singapore — 105.89

Third in this table and first in the world in all three PISA domains, by a clear margin. Singapore is the strongest case that a national cognitive score is largely a report card on an education system: it has risen dramatically within living memory, over a period far too short for anything but schooling and public health to have changed.

Rank #3 of 201
Flag of Pakistan

Pakistan — 80.00

An exactly round value of 80.00 is itself a warning sign — real measurements rarely land on round numbers. Like several of its neighbours, Pakistan’s figure comes from a thin evidence base, and should be read as an order of magnitude rather than a measurement.

Rank #121 of 201
Flag of Nigeria

Nigeria — 67.80

Africa’s largest economy and most populous country, with a listed figure that the underlying studies cannot support. Nigeria has among the widest gaps in the world between children in and out of school; the samples reflect that access gap rather than the population’s capability.

Rank #173 of 201
Flag of Brazil

Brazil — 83.38

Mid-table, and a good illustration of how little wealth alone predicts. Brazil’s score sits close to countries with a fraction of its GDP, and its PISA results (60th of 81) track its schooling outcomes far more closely than its income.

Rank #99 of 201
Flag of Australia

Australia — 99.24

Tied to two decimal places with Hungary and Switzerland — a reminder of how fine the distinctions in the middle of this table are, and how little meaning should be read into a difference of one or two ranks.

Rank #18 of 201
Questions & answers

Country IQ: common questions

Which country has the highest average IQ?

In the dataset every ranking is built from — Lynn & Becker’s The Intelligence of Nations (2019) — Japan is first at 107.01, followed by Taiwan (106.47), Singapore (105.89), Hong Kong (105.37) and China (104.10). Most sites republishing this table list Japan at 106.48, which comes from a mis-transcribed copy. Either way the top five sit inside two points of one another — within the measurement error of any IQ test — so treating this as a settled ordering is not something the data supports.

Which country has the lowest average IQ?

The lowest figure in the table is Nepal at 42.99. It should not be taken at face value. A national average in the forties would mean most of the population met the clinical threshold for intellectual disability, which is not what is observed in Nepal or anywhere else. The dataset’s own authors flagged the figure as implausible and it has been publicly challenged in Nepal’s national press. It reflects a poor sample, not a population.

What is the average IQ in India, and where does India rank?

India’s listed value is 76.24, placing it 144th of 201. That number rests largely on studies of rural schoolchildren, several of them decades old, tested against Western norms and often not in their first language — in a country with 22 official languages and very wide variation in school access. It is not a representative national measurement. Online tests taken by self-selected Indian visitors typically return figures 15–20 points higher, because a self-selected internet sample and a rural school sample are not the same population. Take the test and you will get your own score rather than a contested national one.

What is the average IQ in the world?

The unweighted average of the 201 entries is 81.90. Weighted by population, the dataset’s own total is 86.05. Both sit below 100 because 100 is not a world average — it is the British norm the scale was anchored to, and every other country is expressed relative to it.

Are average IQ by country rankings reliable?

Only up to a point. 53 of the 201 countries have no test data of any kind and carry a neighbour’s value instead — North Korea, sixth in the world on this table, is one of them; where that estimating step can be checked against real school testing it correlates negatively with the outcome it is supposed to predict. Sample sizes behind national means run from 19 people to 62,649. Eighteen countries moved by more than ten points between the 2012 and 2019 revisions. The rankings are a reasonable guide to broad regional patterns in school achievement and a poor guide to anything else.

Why do IQ scores differ between countries?

Overwhelmingly because of environment and measurement, not ancestry. Years of schooling alone are worth 1–5 IQ points per year; iodine deficiency costs 8–13.5; childhood disease burden, testing familiarity, and being tested in a second language all push scores down independently of ability. The 12.9-year schooling gap between Germany and Niger is arithmetically worth about 44 IQ points — more than the entire 32.5-point gap between the highest and lowest scoring regions.

Why do East Asian countries score highest?

The countries at the top share long compulsory schooling, near-universal literacy, low childhood disease burden and a culture of frequent formal testing from an early age. They also lead the OECD’s PISA assessments, which sample properly and test school achievement directly. Two instruments agreeing tells you the schooling effect is real. Neither tells you the cause is innate — and Singapore’s rise happened far too quickly for anything but schooling and public health to explain.

Is IQ genetic or environmental?

Within a population, individual differences in IQ have a substantial heritable component that rises with age. That is a separate question from why group averages differ, and the second does not follow from the first. Average scores have moved by around 30 points over a century, and by roughly three points inside fourteen birth cohorts in Norway — changes far too fast to be genetic. On the evidence available, national differences in measured IQ are best explained by schooling, health, nutrition and testing conditions.

Why do different websites give my country a different IQ?

Because they are quoting different datasets. Some use the quality-weighted column of the 2019 Lynn & Becker data (the one on this page), others the unweighted column, the 2012 revision, or the 2002 Lynn & Vanhanen figures. Some publish averages of their own self-selected online visitors, which usually run much higher because people who choose to take an IQ test are not a random sample. Always check which dataset and which year a page is quoting.

What is the Flynn effect, and is it still happening?

The Flynn effect is the rise in measured IQ over the twentieth century — roughly three points per decade, about 30 points in total. It is still running in much of the developing world. In several rich countries it has reversed: Norwegian conscript scores peaked with the 1975 birth cohort at 102.3 and fell to 99.4 by 1989, and because the decline appears between brothers in the same families it cannot be immigration or changing family composition.

Is average IQ falling in developed countries?

In some, on some measures, yes. The Norwegian conscript data show a clear reversal, and OECD average PISA scores fell 15 points in mathematics and 10 in reading between 2018 and 2022 — the largest drop since PISA began. Whether that is a lasting trend or a pandemic effect is still being argued.

Do PISA scores measure the same thing as IQ?

Not the same thing, but they overlap heavily. PISA tests fifteen-year-olds on applied reasoning in mathematics, reading and science with proper national sampling. National IQ estimates and international achievement datasets correlate at r = 0.84–0.98 across 201 nations. PISA is the better-built instrument by a wide margin; where the two disagree, PISA is generally the one to trust.

Does a higher national IQ mean a richer country?

The two correlate, but the relationship is loose and the causal direction runs both ways at once. The Gulf states are the standing counter-example: among the highest GDP per capita in the world, with scores no higher than middle-income neighbours. Vietnam is the mirror image — well above what its income predicts on both IQ and PISA. Wealth that has been converted into schooling and child health shows up in the scores; wealth that has not, does not.

Does education raise IQ?

Yes, and this is the strongest causal evidence in the whole field. A meta-analysis of 142 effect sizes covering 615,812 people found that one extra year of schooling raises IQ by 1–5 points depending on the study design, with the effects persisting across the lifespan and across every broad ability domain.

Are IQ tests culturally biased against non-Western countries?

The tests used in much of this dataset were normed on Western populations, sometimes decades before they were administered elsewhere, frequently in a second language, and often to people with no prior experience of timed formal testing. Each of those depresses scores independently of ability. “Culture-fair” matrix tests reduce the problem but do not remove it, because comprehension of the instructions is still scored as if it were reasoning.

How is a country’s average IQ actually calculated?

Researchers collect published studies that administered an IQ test in that country, convert each result onto a common scale anchored to a British mean of 100, adjust for the age of the norms, weight the studies by sample size and quality, and average them. Where no study exists, the value is estimated from neighbouring countries. The 2019 edition pools 669 studies covering 617,581 people across 201 entries, 53 of which have no study behind them at all.

Can I compare my own IQ score to my country’s average?

You can, but it is less informative than it sounds. National averages come from different tests, different decades and very different samples, so the comparison is rarely like for like. Your percentile against the full population distribution is a far more meaningful figure — and it is what our test reports. Take the IQ test to get it.

What is a good IQ score?

About 68% of people score between 85 and 115, so anything in that band is squarely average. Roughly 16% score above 115, about 1 in 44 above 130 and about 1 in 741 above 145. Our guides to IQ score ranges and IQ classifications go through each band in detail.

Is an IQ of 120 good? Is 130 genius level?

An IQ of 120 puts you at about the 91st percentile — roughly 1 person in 11. 130 is the conventional threshold for “very superior” or gifted, at about the 98th percentile, or 1 in 44. Whether that counts as genius is a matter of definition rather than measurement; what counts as a genius IQ level covers where the various thresholds are drawn.

Where does the data on this page come from?

The country values are the quality-weighted column of Richard Lynn and David Becker’s The Intelligence of Nations (Ulster Institute for Social Research, 2019) and the accompanying NIQ dataset. The critical analysis draws on Warne (2022), Sear (2022), Wicherts and colleagues, Ritchie & Tucker-Drob (2018), Bratsberg & Rogeberg (2018) and OECD PISA 2022. Every source is listed at the foot of this page.

Methodology

Sources & how we built this page

We publish the dataset in full, name it, and publish the criticism of it in the same place. Every figure on this page can be traced to one of the sources below.

How this page was built

  1. Country values are the quality-weighted column of the 2019 Lynn & Becker national IQ dataset, reproduced without alteration. We have not adjusted, smoothed or re-ranked anything.
  2. Entries marked est. in the table share an identical value with two or more other countries — the visible signature of geographic imputation rather than measurement.
  3. Regional figures are unweighted means of the countries listed in each region, computed from the same table. They are not population-weighted.
  4. Percentiles, band shares and the distribution figures are computed directly from a normal curve with mean 100 and standard deviation 15.
  5. Flag images are served by flagcdn.com. Map geometry is derived from Natural Earth (public domain), drawn on a Robinson projection.

Sources & further reading

  1. Lynn, R. & Becker, D. (2019). The Intelligence of Nations. Ulster Institute for Social Research. NIQ-DATASET V1.3.2, sheet NAT, column QNW+SAS+GEO — the source of every country value on this page, read from the published workbook rather than a secondary copy. View source
  2. Wicherts, J. M., Dolan, C. V. & van der Maas, H. L. J. (2010). “A systematic literature review of the average IQ of sub-Saharan Africans.” Intelligence, 38(1), 1–20. The source of the 67.4-versus-80.4 finding on which studies were and were not included. View source
  3. Wicherts, J. M., Dolan, C. V., Carlson, J. S. & van der Maas, H. L. J. (2010). “Another failure to replicate Lynn’s estimate of the average IQ of sub-Saharan Africans.” Learning and Individual Differences. Shows that representativeness judgements tracked the sample’s own score. View source
  4. Wicherts, J. M., Borsboom, D. & Dolan, C. V. (2010). “Why national IQs do not support evolutionary theories of intelligence.” Personality and Individual Differences, 48(2), 91–96. Source of the 18-variable principal components analysis and the child-mortality correlations. View source
  5. Sear, R. (2022) [preprint, not peer reviewed]. “‘National IQ’ datasets do not provide accurate, unbiased or comparable measures of cognitive ability worldwide.” PsyArXiv. Source of the sample-type audit (223 of 683 coded national), the missing-method critique, the Mali and DR Congo primary-study warnings, and the eugenics chapter. View source
  6. Warne, R. T. (2022). “National mean IQ estimates: validity, data quality, and recommendations.” Evolutionary Psychological Science. Source of the 149-versus-52 imputation count, the sample-size range and the r = −0.376 finding. View source
  7. European Human Behaviour and Evolution Association. Statement on ‘National IQ’ datasets (first issued 27 July 2020, subsequently revised), asking researchers not to use them in evolutionary research. View source
  8. Nisbett, R. E., Aronson, J., Blair, C., Dickens, W., Flynn, J., Halpern, D. F. & Turkheimer, E. (2012). “Intelligence: new findings and theoretical developments” and “Group differences in IQ are best understood as environmental in origin.” American Psychologist. View source
  9. Ritchie, S. J. & Tucker-Drob, E. M. (2018). “How much does education improve intelligence? A meta-analysis.” Psychological Science. 142 effect sizes, 615,812 participants — the 1–5 points per school year figure. View source
  10. Bratsberg, B. & Rogeberg, O. (2018). “Flynn effect and its reversal are both environmentally caused.” PNAS. 736,808 Norwegian conscripts — the source of the reversal chart. View source
  11. Trahan, L., Stuebing, K. K., Fletcher, J. M. & Hiscock, M. (2014). “The Flynn effect: a meta-analysis.” Psychological Bulletin. 285 studies — 2.31 points per decade, 2.93 on modern tests. View source
  12. Meisenberg, G. (2012); Lynn, R. & Meisenberg, G. (2010). Sources of the GDP (r = 0.69), schooling (0.76) and educational-attainment (0.92) correlations quoted above. View source
  13. Qian, M. et al. (2005); Bougma, K. et al. (2013). Meta-analyses of iodine deficiency and supplementation — the 7–13 IQ point range quoted above. View source
  14. Barnett, S. M. & Williams, W. (2004). “National intelligence and the emperor’s new clothes.” Contemporary Psychology: APA Review of Books. Judged the cross-country comparisons “virtually meaningless”. View source
  15. OECD (2023). PISA 2022 Results (Volume I). Source for every PISA figure quoted, and for the 2018–2022 OECD decline. View source
Data last reviewed August 2026

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