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NCBNational
Capability
Benchmark

All capabilities

One of nine capability dimensions

Learning

How effectively does the country acquire, distribute, and update knowledge?

This page puts the country comparison, indicator registry and documented cases together. It shows how much of the capability the current data can see.

52 countries in the frame7 indicators in the registry5 indicators with data52 countries with a score

<iframe src="https://ncb-envisioning.vercel.app/embed/compare/BRA/learning" title="Learning country comparison" loading="lazy" width="100%" height="300" style="border:0" referrerpolicy="strict-origin-when-cross-origin"></iframe>

All countries use the same frame

The table opens alphabetically. Sort by score, confidence, coverage or trend. Scores need two observed indicators; trends use indicators observed at both ends.

Scores use one 0 to 100 scale for all countries. Each dot is a country. The box covers the middle half of the field, and the line is the median. Hollow dots have thin evidence.

0255075100Ethiopia: 9.5, thin evidenceNigeria: 11.6, thin evidenceHaiti: 12.3, very thin evidenceIndia: 20.2, usable evidenceRwanda: 22.4, usable evidenceSouth Africa: 23.4, usable evidenceIndonesia: 24.3, usable evidenceKenya: 26.0, usable evidencePanama: 28.2, usable evidenceVietnam: 28.3, usable evidenceNicaragua: 31.3, thin evidenceThailand: 32.9, usable evidenceEl Salvador: 33.5, usable evidenceParaguay: 34.2, thin evidenceMalaysia: 35.9, usable evidencePhilippines: 36.2, usable evidenceDominican Republic: 36.8, usable evidenceUnited Arab Emirates: 40.3, thin evidenceHonduras: 40.8, usable evidenceGuatemala: 42.0, usable evidenceBrazil: 43.2, usable evidenceColombia: 44.3, usable evidenceIsrael: 44.7, usable evidenceMexico: 44.8, usable evidenceEcuador: 47.0, usable evidenceJapan: 47.2, usable evidenceTurkey: 47.2, usable evidencePeru: 47.7, usable evidenceCosta Rica: 48.5, usable evidenceUruguay: 49.3, usable evidenceUnited States: 49.5, usable evidencePoland: 52.4, usable evidenceChile: 53.5, usable evidenceArgentina: 54.9, thin evidenceSouth Korea: 55.9, usable evidenceSingapore: 56.0, usable evidenceGermany: 56.2, usable evidenceCanada: 56.6, usable evidenceEstonia: 56.8, usable evidenceVenezuela: 56.8, very thin evidenceChina: 59.1, usable evidenceCuba: 59.3, thin evidenceIreland: 60.5, usable evidenceFrance: 60.9, usable evidenceSwitzerland: 65.1, usable evidenceNetherlands: 65.3, usable evidenceSpain: 65.6, usable evidenceSweden: 67.4, usable evidenceUnited Kingdom: 68.4, usable evidenceAustralia: 70.3, usable evidenceFinland: 77.9, usable evidenceBolivia: 79.5, thin evidence
Learning scores by country
Argentina54.9

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Country
Argentina (ARG)
Dimension
Learning
Score
54.9
Confidence
0.41

Submissions are public and start as awaiting review. A maintainer can add a response and signature after review.

0.415 of 7+6.6(2)
Australia70.3

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Country
Australia (AUS)
Dimension
Learning
Score
70.3
Confidence
0.54

Submissions are public and start as awaiting review. A maintainer can add a response and signature after review.

0.545 of 7no trend
Bolivia79.5

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Country
Bolivia (BOL)
Dimension
Learning
Score
79.5
Confidence
0.34

Submissions are public and start as awaiting review. A maintainer can add a response and signature after review.

0.343 of 7-1.9(2)
Brazil43.2

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Country
Brazil (BRA)
Dimension
Learning
Score
43.2
Confidence
0.54

Submissions are public and start as awaiting review. A maintainer can add a response and signature after review.

0.545 of 7+5.5(2)
Canada56.6

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Country
Canada (CAN)
Dimension
Learning
Score
56.6
Confidence
0.53

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0.535 of 7+3.5(2)
Chile53.5

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Country
Chile (CHL)
Dimension
Learning
Score
53.5
Confidence
0.54

Submissions are public and start as awaiting review. A maintainer can add a response and signature after review.

0.545 of 7+7.3(2)
China59.1

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Country
China (CHN)
Dimension
Learning
Score
59.1
Confidence
0.56

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0.565 of 7+13.0(2)
Colombia44.3

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Country
Colombia (COL)
Dimension
Learning
Score
44.3
Confidence
0.49

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0.495 of 7+13.5(2)
Costa Rica48.5

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Country
Costa Rica (CRI)
Dimension
Learning
Score
48.5
Confidence
0.50

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0.505 of 7-2.0(2)
Cuba59.3

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Country
Cuba (CUB)
Dimension
Learning
Score
59.3
Confidence
0.33

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0.333 of 7+3.8(2)
Dominican Republic36.8

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Country
Dominican Republic (DOM)
Dimension
Learning
Score
36.8
Confidence
0.56

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0.565 of 7+8.2(3)
Ecuador47.0

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Country
Ecuador (ECU)
Dimension
Learning
Score
47.0
Confidence
0.55

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0.555 of 7+6.3(2)
El Salvador33.5

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Country
El Salvador (SLV)
Dimension
Learning
Score
33.5
Confidence
0.55

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0.555 of 7-8.6(3)
Estonia56.8

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Country
Estonia (EST)
Dimension
Learning
Score
56.8
Confidence
0.53

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0.535 of 7+0.7(3)
Ethiopia9.5

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Country
Ethiopia (ETH)
Dimension
Learning
Score
9.5
Confidence
0.42

Submissions are public and start as awaiting review. A maintainer can add a response and signature after review.

0.425 of 7-24.8(2)
Finland77.9

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Country
Finland (FIN)
Dimension
Learning
Score
77.9
Confidence
0.54

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0.545 of 7+6.7(2)
France60.9

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Country
France (FRA)
Dimension
Learning
Score
60.9
Confidence
0.54

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0.545 of 7no trend
Germany56.2

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Country
Germany (DEU)
Dimension
Learning
Score
56.2
Confidence
0.54

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0.545 of 7+7.1(2)
Guatemala42.0

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Country
Guatemala (GTM)
Dimension
Learning
Score
42.0
Confidence
0.56

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0.565 of 7+3.4(2)
Haiti12.3

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Country
Haiti (HTI)
Dimension
Learning
Score
12.3
Confidence
0.21

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0.212 of 7no trend
Honduras40.8

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Country
Honduras (HND)
Dimension
Learning
Score
40.8
Confidence
0.47

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0.475 of 7-8.4(2)
India20.2

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Country
India (IND)
Dimension
Learning
Score
20.2
Confidence
0.55

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0.555 of 7-12.8(3)
Indonesia24.3

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Country
Indonesia (IDN)
Dimension
Learning
Score
24.3
Confidence
0.53

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0.535 of 7+3.8(3)
Ireland60.5

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Country
Ireland (IRL)
Dimension
Learning
Score
60.5
Confidence
0.51

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0.515 of 7-4.7(2)
Israel44.7

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Country
Israel (ISR)
Dimension
Learning
Score
44.7
Confidence
0.54

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0.545 of 7-6.7(3)
Japan47.2

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Country
Japan (JPN)
Dimension
Learning
Score
47.2
Confidence
0.52

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0.525 of 7+2.1(2)
Kenya26.0

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Country
Kenya (KEN)
Dimension
Learning
Score
26.0
Confidence
0.51

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0.515 of 7-6.0(3)
Malaysia35.9

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Country
Malaysia (MYS)
Dimension
Learning
Score
35.9
Confidence
0.56

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0.565 of 7+0.8(3)
Mexico44.8

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Country
Mexico (MEX)
Dimension
Learning
Score
44.8
Confidence
0.53

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0.535 of 7+0.3(2)
Netherlands65.3

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Country
Netherlands (NLD)
Dimension
Learning
Score
65.3
Confidence
0.53

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0.535 of 7+1.9(2)
Nicaragua31.3

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Country
Nicaragua (NIC)
Dimension
Learning
Score
31.3
Confidence
0.40

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0.405 of 7+8.6(2)
Nigeria11.6

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Country
Nigeria (NGA)
Dimension
Learning
Score
11.6
Confidence
0.38

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0.385 of 7+3.2(2)
Panama28.2

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Country
Panama (PAN)
Dimension
Learning
Score
28.2
Confidence
0.53

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0.535 of 7-2.7(2)
Paraguay34.2

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Country
Paraguay (PRY)
Dimension
Learning
Score
34.2
Confidence
0.41

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0.415 of 7-2.6(2)
Peru47.7

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Country
Peru (PER)
Dimension
Learning
Score
47.7
Confidence
0.49

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0.495 of 7+13.0(2)
Philippines36.2

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Country
Philippines (PHL)
Dimension
Learning
Score
36.2
Confidence
0.55

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0.555 of 7-2.1(3)
Poland52.4

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Country
Poland (POL)
Dimension
Learning
Score
52.4
Confidence
0.54

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0.545 of 7-4.3(3)
Rwanda22.4

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Country
Rwanda (RWA)
Dimension
Learning
Score
22.4
Confidence
0.56

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0.565 of 7-6.8(3)
Singapore56.0

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Country
Singapore (SGP)
Dimension
Learning
Score
56.0
Confidence
0.49

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0.495 of 7+1.6(2)
South Africa23.4

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Country
South Africa (ZAF)
Dimension
Learning
Score
23.4
Confidence
0.51

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0.515 of 7+5.7(2)
South Korea55.9

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Country
South Korea (KOR)
Dimension
Learning
Score
55.9
Confidence
0.54

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0.545 of 7+16.5(2)
Spain65.6

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Country
Spain (ESP)
Dimension
Learning
Score
65.6
Confidence
0.54

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0.545 of 7+4.3(2)
Sweden67.4

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Country
Sweden (SWE)
Dimension
Learning
Score
67.4
Confidence
0.54

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0.545 of 7-5.6(3)
Switzerland65.1

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Country
Switzerland (CHE)
Dimension
Learning
Score
65.1
Confidence
0.54

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0.545 of 7+5.1(2)
Thailand32.9

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Country
Thailand (THA)
Dimension
Learning
Score
32.9
Confidence
0.56

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0.565 of 7-1.4(3)
Turkey47.2

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Country
Turkey (TUR)
Dimension
Learning
Score
47.2
Confidence
0.53

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0.535 of 7-11.8(3)
United Arab Emirates40.3

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Country
United Arab Emirates (ARE)
Dimension
Learning
Score
40.3
Confidence
0.38

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0.384 of 7no trend
United Kingdom68.4

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Country
United Kingdom (GBR)
Dimension
Learning
Score
68.4
Confidence
0.52

Submissions are public and start as awaiting review. A maintainer can add a response and signature after review.

0.525 of 7+13.5(2)
United States49.5

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Country
United States (USA)
Dimension
Learning
Score
49.5
Confidence
0.45

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0.455 of 7-0.5(2)
Uruguay49.3

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Country
Uruguay (URY)
Dimension
Learning
Score
49.3
Confidence
0.54

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0.545 of 7+12.0(2)
Venezuela56.8

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Country
Venezuela (VEN)
Dimension
Learning
Score
56.8
Confidence
0.10

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0.104 of 7no trend
Vietnam28.3

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Country
Vietnam (VNM)
Dimension
Learning
Score
28.3
Confidence
0.48

Submissions are public and start as awaiting review. A maintainer can add a response and signature after review.

0.485 of 7-5.7(3)

0 to 100 is a position inside the frame every country builds together. Zero is the weakest on a dimension and 100 is the strongest. A score of 10 puts a country near the floor of that frame. It does not mean 10 percent of a capability.

Learning indicators

7 indicators define this capability. Gaps and retired rows remain because they lower confidence. Click a heading to sort.

  • Cdirect capability measure Measures the thing itself.
  • Icapability input Measures something that supports the capability.
  • Odownstream outcome Measures a result that usually follows from the capability.
  • Pperception proxy Records what people or experts say, not what they did.

Learning

Learning indicators
Note
Adult learning participationno datasetC% of adultshigher is betterEurostat / OECD PIAAC0.35The best available measure of continuous learning capacity, and it exists only for European and OECD members.
Firms offering formal trainingC% of firmshigher is betterWorld Bank0.20Enterprise Surveys reach middle-income countries and skip most high-income ones, so coverage here is deliberately uneven and the confidence score should show it.
Human Capital IndexCindex 0-1higher is betterWorld Bank0.50Uses learning-adjusted years of schooling, which is why it is preferred over raw attainment. Last full round is 2020.
Public education expenditureI% of GDPhigher is betterWorld Bank0.30Pure input. Included so the model can be tested for whether inputs add anything over the capability measures.
Research citation impactno datasetOratio to world averagehigher is betterOpenAlex0.30Computable from OpenAlex, which is open and inspectable. This is the highest-value gap to close next.
Tertiary enrolmentI% grosshigher is betterWorld Bank0.50Volume of formal education. Says nothing about what is learned, which is the trap the spec warns about.
Vocational share of secondaryI% of secondaryhigher is betterWorld Bank0.10Higher is not unambiguously better. It marks a route into skilled work that does not run through university.

Documented deliveries add context to the data

These records describe a country doing something this capability should capture. They stay outside the score because one case is not a comparable series.

Evidence for missing indicators

Each record describes a case the indicators above cannot see. It does not affect the score or confidence because one case is not comparable across countries. A gap can become an indicator when a comparable series covers at least two countries.

  • SkillsFuture Creditlinked to Adult learning participation, started 2015, still operating

    Singapore gave every citizen aged 25 and over an individual training account in 2016 and keeps topping it up, and in 2024 260,000 Singaporeans spent credit on courses, up 35 percent on the year before.

    260,000 people, singaporeans who used skillsfuture credit in the year, 2024. Skills and Workforce Development Agency, formerly SkillsFuture Singapore, year-in-review 2024, retrieved 2026-08-27.

    How it worked: The state deposits money in a named account each citizen owns, publishes a course registry with subsidies, and lets individual demand rather than employers decide what gets learned, with top-ups aimed at mid-career workers.

    Limits: Usage is the programme reporting on itself, and a usage count says nothing about whether the training raised skills or wages. About 260,000 users in a year is under a tenth of the adult citizen population, and separate reporting notes most citizens had not touched their top-up. The record evidences a durable mechanism for adult learning, not a transformation of participation.

  • The public library systemlinked to Adult learning participation, started 1928, still operating

    Finland runs the world's most used public library system under a statutory duty dating to 1928, and in 2024 Finns borrowed 85.4 million items, 15.3 per inhabitant, and visited libraries 50.7 million times.

    15.3 loans per person, library loans per inhabitant, 2024. 50,700,000 visits, library visits in the year, 2024. Finnish Ministry of Education and Culture, public library statistics via Libraries.fi, retrieved 2026-08-27.

    How it worked: The state made libraries a statutory municipal duty with national subsidy, kept them free by law including reservations and inter-library loans, and municipalities compete on quality, with the flagship in Helsinki placed opposite parliament as a statement.

    Limits: Borrowing is reading, not structured adult learning, so the record sits one step from the indicator's construct, which asks about participation in education and training; it is filed because the library statute explicitly assigns libraries a lifelong-learning duty and no better-measured Finnish delivery covers the gap. Loans per head are also falling slowly here as everywhere, and the world-leading claim depends on which countries publish comparable statistics.

  • CAPES, federal postgraduate fundinglinked to Research citation impact, started 1951, still operating

    Founded in 1951, CAPES built a national postgraduate funding and evaluation system, and by 1995 Brazil's system had more than 60,000 students across over 1,000 master's and 600 doctoral courses.

    60,000 students, postgraduate students in the national system, 1995. CAPES, História e missão, retrieved 2026-08-29.

    How it worked: A federal agency combines funding with peer evaluation and a national standard, so postgraduate programmes coordinate around a common definition of quality instead of growing as isolated local institutions.

    Limits: Student and course counts show the scale of the postgraduate system, not the quality or international impact of its research. CAPES reports the institutional history and its own programmes, while citation impact requires a separate bibliometric source.

  • INEP, the standing education statistics institutionlinked to Research citation impact, started 1937, still operating

    Created in 1937, INEP built a standing education statistics and census system that lets federal, state and municipal actors see schools, students and policy results across Brazil, while its historical archive now spans 218.68 linear metres.

    218.68 linear metres, historical archive, 2022. INEP, institutional history and historical archive, retrieved 2026-08-29.

    How it worked: A permanent statistical institution gives education policy a memory and a common set of objects, so schools, students and results can be compared across territories and governments.

    Limits: An archive and a census show that a state can record itself, not that the resulting policy improves learning or research quality. The data system also depends on reporting by schools and education secretariats, and its history includes institutional redesign.

Read how the benchmark turns an indicator into a score on the method page. The limits page records where this capability is still poorly observed.