- Raw value
- 58292.04articles per million people
- Year
- 2023. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IP.JRN.ARTC.SC)
- History
Brazil
Strongest usable evidence: Adaptability, at 64.5. Raise Experimentation first, at 28.5. Coordination needs more evidence: confidence is 0.37.
Raise, lowest first
| Dimension | Confidence | Score |
|---|---|---|
| Experimentation | 0.53 | 28.5 |
| Learning | 0.55 | 36.6 |
| Building | 0.57 | 37.7 |
| Anticipation | 0.46 | 44.6 |
Measure before managing
| Dimension | Confidence | Score |
|---|---|---|
| Coordination | 0.37 | 89.1 |
| Shared Purpose | 0.43 | 30.6 |
These lists are the country's capability agenda, computed from the scores. Read the full agenda. It names comparable evidence from other countries and the 18 gaps in the registry.
Why this country is included: Primary reference case; large, diverse upper-middle-income democracy.
Read Brazil beside up to three other countries, down to the indicator behind every row.
- Usable or good evidence
- Thin evidence, hollow point. The dashes open further as confidence falls.
- The point still sits at the score, because confidence never moves it.
- Click any axis to see every country on that dimension.
A score from 0 to 100 is a position inside the frame that all the benchmark countries set: 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 and does not mean 10 percent of a capability.
| Coordination | 0.37 | 3 of 5 | 0.78 | no trend | no data | no estimate | |
| Adaptability | 0.62 | 4 of 6 | 1.00 | no trend | no data | no estimate | |
| Agency | 0.56 | 4 of 5 | 0.75 | no trend | no data | no estimate | |
| Trust | 0.50 | 5 of 7 | 0.85 | no trend | no data | no estimate | |
| Anticipation | 0.46 | 2 of 4 | 0.96 | +7.6(2) | 45.0 | +0.4 | |
| Building | 0.57 | 4 of 6 | 0.90 | -2.4(3) | no data | no estimate | |
| Learning | 0.55 | 3 of 4 | 0.81 | no trend | no data | no estimate | |
| Shared Purpose | 0.43 | 3 of 6 | 0.94 | +6.8(2) | 37.0 | +6.4 | |
| Experimentation | 0.53 | 6 of 9 | 0.88 | +5.1(3) | no data | no estimate |
How to read this page
Each dimension has a score from 0 to 100. It shows where this country sits among all 125 countries in the comparison frame, not a percentage. Confidence sits beside the score. A dashed radar edge and hollow point mean the evidence is thin. The records below show each indicator, its raw value, year and source.
A panel estimate, when present, is a separate judgment about what the indicators miss. It does not change the score or confidence. The panel's provenance is shown beside the estimate.
- direct capability measuredirect capability measure Measures the thing itself.
- capability inputcapability input Measures something that supports the capability.
- downstream outcomedownstream outcome Measures a result that usually follows from the capability.
- perception proxyperception proxy Records what people or experts say, not what they did.
Confidence
- very thin0.00 to 0.25
The score rests on one or two indicators. Do not quote it on its own.
- thin0.25 to 0.45
A minority of indicators, or evidence old enough to have moved. Read with care.
- usable0.45 to 0.65
Enough evidence to compare countries, with known holes.
- good0.65 and above
Most indicators observed, recent, from official or intergovernmental sources.
A row marked no dataset exists is a gap: the benchmark wants data that nobody publishes. A retired row has a source this project chose not to use. Both reduce confidence. The glossary defines each term, and the limits page lists where these numbers are known to be wrong about the world.
Anticipation
How capable is the country of identifying and preparing for emerging change?
+7.6 over 10 years, from 37.0 in 2016 to 44.6 on 2 indicators seen in both years.
Trends use fewer indicators than the current score and use today's frame. A longer span reaches further back.
- Raw value
- 82.308index 0-100
- Year
- 2024. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IQ.SPI.OVRL)
- History
Government foresight capacity
direct capability measureno dataset exists, 2 records- Raw value
- no dataindex 0-100
- Year
- no data
- Normalized
- no data
- Source
- none
- History
- no data
Note: No comparable international dataset. OECD and UN work is descriptive, not scored. Envisioning would have to build this.
Long-horizon research commitments
direct capability measureno dataset exists, 1 record- Raw value
- no data% of new grants
- Year
- no data
- Normalized
- no data
- Source
- none
- History
- no data
Note: Redefined 2026-10-02 (D152). The row asked for the share of R&D spending classed as basic research, which is the make-up of a spending stock, the construct D142 retired business R&D share for. OECD MSTI publishes that share for its members only, and UNESCO UIS no longer serves R&D by type of research (construct audit, 2026-10-02). The behaviour behind it is a funder committing to a horizon: a grant awarded for five years or more is a decision to wait for a result. Untried: no memo has triaged a grant register. National funders publish award lists one by one with their own durations, and commercial grant aggregators fail the inspectability rule. Wireable on a grant-level register with award and end dates, on one definition of a competitive public grant, for half the frame or more.
Conditions, not scored
What the country has to work with on this capability. The values are shown as the source published them and are not part of the score, the confidence or the trend. The rank counts the countries with a value, best first.
R&D expenditureWorld Bank (GB.XPD.RSDV.GD.ZS), 2023
1.2 % of GDP, rank 34 of 118. Gross domestic expenditure on research and development as a share of GDP.
A condition, not scored: money committed to research is what a country spends, and spending it does not show the country reads the future well (D122).
Researchers in R&DWorld Bank (SP.POP.SCIE.RD.P6), 2014
903 per million people, rank 54 of 114. Full-time-equivalent researchers per million people.
A condition, not scored: a standing stock of people who could investigate is what a country has, not a record of what they found (D122). Correlates with income but survives size normalization.
Secure internet serversWorld Bank (IT.NET.SECR.P6), 2024
6,941 per million people, rank 47 of 125. Servers using encryption in internet transactions, per million people.
A condition, not scored: a diffusion stock of digital adoption that money buys, not an act of anticipation (D122). Spans four orders of magnitude, so its rank is read on the published value and its correlations on the logged one.
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.
Embrapa, a fifty-year bet on tropical agriculture
Brazil created a public agricultural research corporation in 1973 to make acidic tropical soils productive, kept it funded across every change of government since, and cereal production rose from 46.5 million tonnes in 2000 to 155.9 million in 2023.
155,877,082 tonnes, cereal production, 2023. World Bank, from FAO, retrieved 2026-08-26.
How it worked: A public research corporation with its own budget line, staffed by researchers sent abroad to train and then brought back, mandated against one specific national constraint rather than research in general.
Limits: Production is an outcome and the credit is shared with land expansion, subsidised credit and private plant breeding, so this number cannot separate the research from the rest. It also cannot see the cost: much of the expansion came from converting cerrado and forest. What the record actually evidences is fifty years of continuity in a public research mandate, which is the part no dataset measures.
Lei de Informática, a sectoral industrial policy
Law 8.248/1991 tied information-technology incentives to annual research, development and innovation investment of at least 5 percent of eligible domestic gross revenue, creating a predictable regime for sectoral capability.
5 % of eligible domestic gross revenue, minimum annual r&d and innovation investment, 1991. Presidência da República, Lei 8.248/1991, retrieved 2026-08-29.
How it worked: The state exchanges a sector-specific incentive for commitments to domestic research, development, training and innovation, giving firms a reason to make longer-horizon plans within a stable policy frame.
Limits: The legal investment requirement is an input, not evidence of research quality, exports or firm growth. The regime is narrow, has been amended repeatedly and creates a renewal pressure that makes continuity part of the case rather than a settled result.
CGEE, the strategic studies center
Created in 2001, the Centro de Gestão e Estudos Estratégicos was designed to produce prospective studies and long-term recommendations for Brazilian science, technology and innovation policy, with 273 researchers and specialists signing its creation record.
273 researchers and specialists, participants signing the creation record, 2001. Ministry of Science, Technology and Innovation, CGEE report, retrieved 2026-08-29.
How it worked: Government creates a distinct organization to turn evidence and expert networks into long-horizon options, giving policymakers a place to ask what future conditions require before a crisis sets the agenda.
Limits: The creation record and a mandate for prospective studies show institutional intent, not whether foresight changes decisions or survives political pressure. CGEE operates within the science and technology policy system, so its reach does not cover every part of government.
Panel estimate, round 2, how this layer works
- 46.0 institutionalist@claude-opus-5-5, self-confidence 0.55
I hold 46: the panel agrees that IBGE, Embrapa, INPE, IPEA and Fiocruz are durable sensing institutions and that translation into preparation is weak, as the 2024 Rio Grande do Sul floods showed.
- 45.0 bottom_up@claude-opus-5-5, self-confidence 0.50
Hold. The panel agrees: IBGE, Embrapa, INPE and Fiocruz sense change early and a large absolute research base hides behind the per capita row, while the state often fails to act, as in the 2024 Rio Grande do Sul floods.
- 43.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.45
I rise from 42 to 43. IBGE, INPE deforestation monitoring, Embrapa and Fiocruz are institutions that convert modest income into early sensing, and per capita articles hide a large absolute research base. The 2024 Rio Grande do Sul floods show the state often fails to act on what these bodies see.
Agency
How able are individuals and organizations to turn an intention into action?
No trend is shown because too few indicators have values at both ends. The rows below still show the available history.
- Raw value
- 6.667per 1,000 aged 15-64
- Year
- 2024. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.BUS.NDNS.ZS)
- History
- Raw value
- 16.62days
- Year
- 2019. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.REG.DURS.MA.DY)
- History
- Raw value
- 10.61count
- Year
- 2019. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.REG.PROC.MA.NO)
- History
Adults doing digital tasks
direct capability measureno dataset exists- Raw value
- no data% of adults
- Year
- no data
- Normalized
- no data
- Source
- ITU / UNESCO UIS (SDG 4.4.1, ICT skills by type)
- History
- no data
Note: Redefined 2026-10-02 (D152). The row asked whether adults can perform standard digital tasks, which reads a skill level, the kind of stock D122 moved out of the scores with internet users. It now counts the act: a person who did the task. It is not the internet users condition beside it, which counts access. Candidate: ITU ICT skills by type (SDG 4.4.1) through the UNESCO UIS API, probed 2026-10-02. Sent a message with an attached file reaches 33 of the 53 countries then in the frame, 25 at 2018 or later, with no United States, India or China and most of Africa and Central America missing; two other task items reach 31 and 16. The items are self-reported and the task list has changed between rounds. Wireable on one task observed for half the frame or more at 2018 or later.
- Raw value
- 7.5mean 1-10
- Year
- 2022. The rail runs from 1960 to 2026.
- Normalized
- Source
- Joint EVS/WVS (A173)
- History
- one year
Conditions, not scored
What the country has to work with on this capability. The values are shown as the source published them and are not part of the score, the confidence or the trend. The rank counts the countries with a value, best first.
Individuals using the internetWorld Bank (IT.NET.USER.ZS), 2024
84.5 % of population, rank 60 of 125. Share of the population that used the internet in the last three months.
A condition, not scored: access to the basic tool of modern agency is what people have to act with, not a record of them acting (D122). Saturates near 95%, which compresses the top of the range.
Financial account ownershipWorld Bank (FX.OWN.TOTL.ZS), 2024
86.4 % aged 15+, rank 44 of 122. Adults with an account at a bank or mobile money provider.
A condition, not scored: holding an account is the precondition for almost any economic action, not the action (D122). Global Findex, published every three years.
Credit to the private sectorWorld Bank (FS.AST.PRVT.GD.ZS), 2025
75.1 % of GDP, rank 30 of 124. Domestic credit provided to the private sector by financial corporations.
A condition, not scored: financial depth is a stock of money available to actors, not what they do with it (D122). High values can also signal a credit bubble, so more is not always better.
Coordination
How effectively can independent actors organize around shared objectives?
No trend is shown because too few indicators have values at both ends. The rows below still show the available history.
Government effectiveness
perception proxyretired, see notes- Raw value
- no dataz-score -2.5 to 2.5
- Year
- no data
- Normalized
- no data
- Source
- World Bank (GOV_WGI_GE.EST)
- History
- no data
Note: Retired 2026-08-26. The WGI aggregate the opinions of experts and firms, and in this set the four WGI series correlate with each other between 0.93 and 0.98 while correlating with log GDP per capita at 0.91. That is one perception of national wealth counted in three dimensions. Cross-agency delivery records are the replacement and they are a declared gap. See D23 and A4.
Regulatory quality
perception proxyretired, see notes- Raw value
- no dataz-score -2.5 to 2.5
- Year
- no data
- Normalized
- no data
- Source
- World Bank (GOV_WGI_RQ.EST)
- History
- no data
Note: Retired 2026-08-26. Same measurement as government effectiveness, filed under a different name, correlating with it above 0.93. See D23 and A4.
Logistics performance
perception proxyretired, see notes- Raw value
- no dataindex 1-5
- Year
- no data
- Normalized
- no data
- Source
- World Bank (LP.LPI.OVRL.XQ)
- History
- no data
Note: Retired 2026-08-26. The LPI is a survey of international freight forwarders, so it records how a country looks to global logistics firms. A small country with a small port scores low whatever its state can organise, which is artefact A9. Container throughput and border time are observable and stay. See D23.
- Raw value
- 49.043hours
- Year
- 2019. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (TRD.ACRS.BRDR.EXPT.BRDR.COMP.HR.DB1619)
- History
- Raw value
- 100.828percentage points from approved budget
- Year
- 2021. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (GF.XPD.BUDG.ZS)
- History
University-industry collaboration
direct capability measureno dataset exists, 3 records- Raw value
- no dataindex 0-100
- Year
- no data
- Normalized
- no data
- Source
- Global Innovation Index
- History
- no data
Note: GII carries it, but the underlying item is a WEF executive opinion survey whose microdata is not inspectable. Excluded on principle 4.
- Raw value
- 0.865index 0-1
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- V-Dem (v2x_cspart)
- History
- one year
Public-private collaboration
direct capability measureno dataset exists, 1 record- Raw value
- no dataindex 0-100
- Year
- no data
- Normalized
- no data
- Source
- none
- History
- no data
Note: No comparable dataset. PPP investment databases measure infrastructure finance, not collaboration capacity.
Behavioral check, not scored
Each number below is published beside the score and stays out of it. It is not in the frame, the average, the indicator count or the confidence.
Customs clearance time for exportsWorld Bank (IC.CUS.DURS.EX), 2025
8.931 days, lower is better. Average number of days to clear direct exports through customs, as reported by manufacturing firms that export directly, in the World Bank Enterprise Surveys.
Days a manufacturer that exports directly says its goods took to clear customs, from the World Bank Enterprise Surveys. It is the time the border took on firms' own shipments, current where the Doing Business border time this capability scores is frozen at 2019. It is not scored for two reasons. The number of firms behind each country's figure is published only in the survey microdata, and on a proxy from the published tables 37 of the 53 countries in the frame when it was checked clear 30 exporting firms; Mexico, the Philippines, Israel and nine others may not. And the question changed: surveys fielded from 2024 also ask how long release took across all border agencies, and drop an answer where customs alone took longer, so a country surveyed on both sides of the change can move severalfold with nothing at its border changing. India reads 17.3 days in 2022 and 2.5 in 2025, on more than 9,000 firms each time. No country in the frame has two surveys on the new questionnaire yet. Income is not why it is left out: it barely tracks log GDP per capita.
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.
Itaipu Binacional, the treaty-built power system
Brazil and Paraguay built and operate Itaipu through a treaty-based binational entity, which reached 14,000 megawatts of installed capacity and has supplied both countries since the first unit entered operation in 1984.
14,000 MW, installed generating capacity, 2007. Itaipu Binacional, institutional information, retrieved 2026-08-29.
How it worked: Brazil and Paraguay converted a contested shared river into a jointly governed operating institution with its own legal personality, fixed allocation rules and a long-lived technical system.
Limits: Installed capacity shows the scale of the physical system, not the quality of the bilateral relationship, the project's cost or the distribution of its benefits. A treaty structure can hold a joint asset together while leaving wider coordination between the countries unresolved.
EMBRAPII, industry-led applied research
Created in 2013, EMBRAPII funds industrial research that companies contract with accredited public and private research units, and it contracted a record 811 new projects in 2025, 25.35% more than in 2024.
811 projects, new projects contracted in the year, 2025. EMBRAPII, Embrapii em 2025: veja como foi nossa atuação (published 3 February 2026), archived copy, retrieved 2026-10-02.
How it worked: Public funding follows an industry's defined technical problem into a research unit, sharing early risk while leaving the company and researchers responsible for solving a concrete challenge.
Limits: Project counts show the throughput of a funding network, not the commercial value, technical success or additionality of the research. EMBRAPII is a social organisation under a management contract with four federal ministries, and the figure is its own report of its activity, drawn from its Power BI panel on 3 February 2026. Its 90 accredited units are research institutions of several kinds, university units among them, and the page does not say how many of the 811 projects ran in a university, so the record evidences firm-research-unit collaboration of which university collaboration is a part, not all of it. Projects vary widely in scale and maturity. The live page answered 'Conteúdo temporariamente indisponível' (HTTP 503) on 2 October 2026, so the source is the Internet Archive copy of 22 April 2026, which carries the 811 figure.
SIBRATEC, the national technology networks
To foster university-firm interaction, the Federal Government set up SIBRATEC, coordinated by the Ministry of Science and Technology with FINEP, BNDES and INMETRO taking part, as a national system of 56 research and development networks by 2010: 14 innovation-centre networks, 20 technological-service networks and 22 state-level extension networks.
56 networks, sibratec national r&d networks reported, 2010. Ministry of Science and Technology, Plano de Ação em Ciência, Tecnologia e Inovação 2007-2010: principais resultados e avanços (Programa 5.1, SIBRATEC), archived copy, retrieved 2026-10-02.
How it worked: The ministry linked research groups, technology centres and state-level extension networks so firms could reach technical support outside universities and turn a production problem into a shared R&D project.
Limits: The network count records an institutional architecture, not how many firms worked with a university, how much research was done jointly or what it produced. The report states the purpose (university-firm interaction) and the network count, but the networks also include technology institutes and metrology laboratories, and the extension networks support small firms with technical services rather than joint research. It is the ministry's own account of its plan and does not evaluate outcomes. The started year is the first year of the 2007-2010 action plan under which SIBRATEC was implemented; the report gives no creation date. The report says nothing about the networks after 2010, so the concluded status records the end of this delivery period, not the programme's fate. The ministry repository did not answer on 2 October 2026, so the source is the Internet Archive copy of 29 April 2025; the passage is on page 74.
MAI/DAI, innovation scholarships for research with partner companies
Brazil's research council CNPq, with CAPES co-funding the 2024 call, has run four calls of its Mestrado e Doutorado Acadêmico para Inovação programme (2018, 2020, 2022 and 2024), in which about 80 science and technology institutions and more than 200 companies had taken part and at least 5,000 scholarships had been granted by 2024 for undergraduate and graduate student research on projects defined with partner firms.
5,000 scholarships (at least), scholarships granted across mai/dai calls, 2018 to 2024, cumulative. 200 companies (more than), companies that have taken part in mai/dai, 2018 to 2024, cumulative. Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), news release on the preliminary result of the first round of the 2024 MAI/DAI call, retrieved 2026-10-02.
How it worked: The national research council pays scholarships for students whose thesis or initiation project is a research project defined with a partner firm, run through a university that must have a technology transfer office and an innovation policy, and since 2024 asks the firm for a financial counterpart.
Limits: (append) The 2018 start year is also stated on the cited page, which lists the earlier calls as 2018, 2020 and 2022.
Trust
How much cooperation is possible beyond immediate personal networks?
No trend is shown because too few indicators have values at both ends. The rows below still show the available history.
Rule of law
perception proxyretired, see notes- Raw value
- no dataz-score -2.5 to 2.5
- Year
- no data
- Normalized
- no data
- Source
- World Bank (GOV_WGI_RL.EST)
- History
- no data
Note: Retired 2026-08-26. A WGI perception composite correlating with control of corruption above 0.95 and with log GDP per capita at 0.83. Court throughput and case clearance rates are the observable replacement and are a declared gap. See D23 and A4.
Control of corruption
perception proxyretired, see notes- Raw value
- no dataz-score -2.5 to 2.5
- Year
- no data
- Normalized
- no data
- Source
- World Bank (GOV_WGI_CC.EST)
- History
- no data
Note: Retired 2026-08-26. A WGI perception composite. It measures reputation for corruption, which is not the same thing as corruption, and it tracks income closely. Prosecution and audit records are the observable replacement and are a declared gap. See D23 and A4.
- Raw value
- 801.2days
- Year
- 2019. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (ENF.CONT.DURS.DY)
- History
- Raw value
- 9.832% of firms
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.FRM.BRIB.ZS)
- History
- Raw value
- 3.785scale 0-4 (never to always)
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- V-Dem (v2jucomp_osp)
- History
- one year
Intentional homicide rate
downstream outcomeretired, see notes- Raw value
- no dataper 100,000 people
- Year
- no data
- Normalized
- no data
- Source
- World Bank (VC.IHR.PSRC.P5)
- History
- no data
Note: Added 2026-08-26 by D23 as the observable replacement for two retired WGI perception composites, and retired 2026-08-27 by D44 when the diagnostic built in D42 measured what it was doing. It raised this dimension's correlation with log GDP per capita by 0.288, from 0.096 to 0.385, the largest single wealth contribution anywhere in the model. It was added to fix wealth contamination and it was the wealth contamination. The dataset is sound and the objection is to what it measures here: homicide is driven heavily by organised crime, a society can be physically safe while trusting very little, and across this country set the variation it carries is mostly income. Behavioural trust measures remain a gap.
- Raw value
- 6.5% agreeing
- Year
- 2022. The rail runs from 1960 to 2026.
- Normalized
- Source
- Joint EVS/WVS (A165)
- History
- one year
Trust in public institutions
perception proxyno dataset exists, 2 records- Raw value
- no data% expressing confidence
- Year
- no data
- Normalized
- no data
- Source
- OECD Trust Survey / WVS
- History
- no data
Note: The OECD survey covers members only. Mixing it with WVS items for India and South Africa would break comparability. The Joint EVS/WVS confidence battery (E069) reaches 37 countries from one release, and confidence in the courts (E069_17) is published beside Trust as a check under this id rather than scored: every item of the battery tested (courts, civil service, police, parliament and government) reads higher in the closed and electoral autocracies of the frame than in its democracies, which is deference as much as confidence (A13). The gap stays open for a measure that does not reward a court that cannot rule against the state. See D132.
- Raw value
- 22.7% expressing trust
- Year
- 2022. The rail runs from 1960 to 2026.
- Normalized
- Source
- Joint EVS/WVS (G007_34_B)
- History
- one year
Court case clearance rate
downstream outcomeno dataset exists- Raw value
- no data% of incoming cases
- Year
- no data
- Normalized
- no data
- Source
- CEPEJ / OECD / national court statistics
- History
- no data
Note: Whether a court finishes what it starts, counted from case records rather than asked in a survey. D23 named it as the observable replacement for the two retired WGI composites and it has stayed unfilled since. CEPEJ publishes it for Council of Europe members and OECD for its own members, so no single publisher reaches this country set, and a harmonised series needs the project second source adapter. See D57.
Behavioral check, not scored
Each number below is published beside the score and stays out of it. It is not in the frame, the average, the indicator count or the confidence.
Confidence in the courtsJoint EVS/WVS (E069_17), 2022
11.8 % a great deal, higher is better. Share of survey respondents saying they have a great deal of confidence in the justice system and courts, of the four answers a great deal, quite a lot, not very much and none at all, in the Joint EVS/WVS 2017 to 2022 survey round.
Confidence in the courts is the public half of what this capability asks: whether people expect the rules to be enforced when a stranger breaks them. It is not scored because the survey answer reads two things the number cannot tell apart. Where courts are independent, confidence is a judgment of how they perform. Where they answer to the state, it is also deference, and saying otherwise to an interviewer has a cost. In this frame the pattern runs the wrong way. India, the Philippines and Indonesia, all electoral autocracies in the V-Dem 2025 classification, lead on the share saying a great deal, and Vietnam and China, the two closed autocracies surveyed, lead once quite a lot is counted too. The ten electoral autocracies average 21.8 percent saying a great deal and the two closed autocracies 28.1, against 13.6 for liberal and 8.4 for electoral democracies. Scored, it would rank highest the states whose courts are least able to rule against them. Income is not why it is left out: the share correlates about -0.18 with log GDP per capita. The value is the share saying a great deal; the share saying quite a lot is in the source note.
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.
Cadastro Único, the unified social registry
Since 2001, Cadastro Único has identified and characterized low-income families across Brazil and has become the entry point for more than 40 federal, state and municipal social programmes.
40 programmes, social programmes using the registry, 2026. Ministry of Development and Social Assistance, Cadastro Único, retrieved 2026-08-29.
How it worked: One shared identity and needs record lets multiple programmes see the same household, reducing the need for each programme to build its own eligibility system and making the state more legible to people it serves.
Limits: A registry and its programme count show administrative reach, not whether citizens trust the state or whether benefits arrive accurately and on time. The source is the ministry responsible for the registry, and coverage depends on families keeping their records current.
Portal da Transparência, the federal open-books system
Launched in 2004, Portal da Transparência has spent 20 years publishing federal revenue, expenditure, personnel and transfer information so citizens can inspect how public money is used.
20 years, years since launch, 2024. Controladoria-Geral da União, Portal da Transparência, retrieved 2026-08-29.
How it worked: The government turns its own administrative records into a public interface, so oversight can begin with the same transaction detail that the bureaucracy uses to execute and audit spending.
Limits: Publication creates the possibility of scrutiny, not evidence that people use the data or trust the institutions being scrutinized. The portal mainly covers federal government execution and excludes some state-owned and non-federal activity.
Learning
How effectively does the country acquire, distribute, and update knowledge?
No trend is shown because too few indicators have values at both ends. The rows below still show the available history.
- Raw value
- 0.551index 0-1
- Year
- 2020. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (HD.HCI.OVRL)
- History
- Raw value
- 38.519% of firms
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.FRM.TRNG.ZS)
- History
Adult learning participation
direct capability measureno dataset exists, 1 record- Raw value
- no data% of adults
- Year
- no data
- Normalized
- no data
- Source
- Eurostat / OECD PIAAC
- History
- no data
Note: The best available measure of continuous learning capacity, and it exists only for European and OECD members.
- Raw value
- 0.596ratio to world average
- Year
- 2021. The rail runs from 1960 to 2026.
- Normalized
- Source
- OpenAlex (citation_normalized_percentile.is_in_top_10_percent)
- History
- one year
Conditions, not scored
What the country has to work with on this capability. The values are shown as the source published them and are not part of the score, the confidence or the trend. The rank counts the countries with a value, best first.
Tertiary enrolmentWorld Bank (SE.TER.ENRR), 2024
69.7 % gross, rank 42 of 124. Gross enrolment ratio in tertiary education.
A condition, not scored: enrolment counts people in formal education and records nothing learned (D122).
Public education expenditureWorld Bank (SE.XPD.TOTL.GD.ZS), 2022
5.6 % of GDP, rank 19 of 125. Government expenditure on education as a share of GDP.
A condition, not scored: public spending on education is a pure input, and learning is what the dimension asks about (D122).
Vocational share of secondaryWorld Bank (SE.SEC.ENRL.VO.ZS), 2018
4.4 % of secondary, rank 95 of 125. Vocational pupils as a share of total secondary enrolment.
A condition, not scored: the share of secondary pupils on a vocational track describes how a school system is built, not what anyone learns in it, and higher is not unambiguously better (D141). It marks a route into skilled work that does not run through university. Learning reads research citation impact, firm training and the human capital index instead.
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.
CAPES, federal postgraduate funding
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 institution
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.
Educação de Jovens e Adultos (EJA), and its erosion
Brazil's Educação de Jovens e Adultos, the second-chance basic education modality delivered mostly by public school networks, enrolled 2,962,322 students in 2021 and 2,252,069 in 2025, a fall of about 24 percent in four years, according to INEP's School Census.
2,252,069 enrolments, enrolments in educação de jovens e adultos (eja), total of public and private networks, 2025. 2,962,322 enrolments, enrolments in eja in 2021, the highest year of the 2021 to 2025 series in this release, 2021. Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira (INEP), Censo Escolar da Educação Básica 2025, results presentation (Gráfico 24), retrieved 2026-10-02.
How it worked: The federal education law makes basic education for youths and adults a modality of the public school system, and state and municipal networks deliver it in evening classes, funded through the per-pupil FUNDEB transfers with a lower weight than regular schooling. Enrolment has fallen every year since at least 2020 as networks close evening classes and fewer young adults enter.
Limits: Both numbers are read off a bar chart in a PDF slide deck (Gráfico 24, PDF page 25), not a table, and the chart labels the totals as public plus private. The deck's window only starts in 2021, so the 'peak' is the first year shown and not EJA's historical peak: INEP's 2024 presentation (PDF page 35) shows 3,002,749 enrolments in 2020, and the decline is older than either window. The real loss from the modality's peak is therefore understated, not overstated. Enrolment counts registrations in the census reference week, not adults who attend or complete. A falling count is not by itself a capability loss: part of the fall reflects more young people finishing regular school on time, so fewer need a second chance, and INEP's own 2024 deck notes that EJA also absorbs teenagers who left regular school after repeated failure, so EJA is not purely adult learning. The source gives no count of the adults who lack completed basic education, so the 2,252,069 enrolments cannot be turned into the share of adults the indicator asks for. The 1996 start is the Lei de Diretrizes e Bases (Lei 9.394) that set EJA as a modality; it is not stated at the source URL, and adult schooling in Brazil predates it.
Experimentation
How easily can new approaches be attempted, tested, abandoned, and improved?
+5.1 over 10 years, from 11.1 in 2016 to 16.2 on 3 indicators seen in both years.
+7.1 over 20 years, from 9.1 in 2006 to 16.2 on 3 indicators seen in both years.
Trends use fewer indicators than the current score and use today's frame. A longer span reaches further back.
- Raw value
- 4666per million people
- Year
- 2021. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IP.PAT.RESD)
- History
- Raw value
- 346752per million people
- Year
- 2021. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IP.TMK.RSCT)
- History
- Raw value
- 4520per million people
- Year
- 2021. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IP.IDS.RSCT)
- History
- Raw value
- 3925512per million people
- Year
- 2026. The rail runs from 1960 to 2026.
- Normalized
- Source
- GitHub Innovation Graph (data/repositories.csv)
- History
- no data
Venture deals
direct capability measureno dataset exists- Raw value
- no dataper million people
- Year
- no data
- Normalized
- no data
- Source
- OECD / national VC associations
- History
- no data
Note: Redefined 2026-10-02 (D152). The id keeps its first name so evidence records, links and published files still resolve. The row asked for venture capital deployed as a share of GDP, a level of financial depth of the kind private credit is (D122). A count of first rounds counts attempts started with outside risk money, which is what this capability asks about, and a large round counts once. Candidates, none wireable: the OECD SME and Entrepreneurship Financing scoreboard carried venture capital for 6 of the 16 countries the frame held on 2026-08-26, as amounts in national currency, latest year 2022, with Brazil, India, South Africa and Singapore absent (D21); national venture capital associations publish counts on their own definitions; commercial deal databases cover the world and are not inspectable (D10). Wireable on an inspectable deal count with one definition of a first round for half the frame or more. Read A1 before treating this dimension as measured.
- Raw value
- 19.4% aged 18-64
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- Global Entrepreneurship Monitor (APS key indicators, TEA rate)
- History
- one year
- Raw value
- 51.8% not deterred
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- Global Entrepreneurship Monitor (APS key indicators, fear of failure rate)
- History
- one year
Firms through regulatory sandboxes
direct capability measureno dataset exists, 1 record- Raw value
- no datafirms per million people
- Year
- no data
- Normalized
- no data
- Source
- national regulators
- History
- no data
Note: Redefined 2026-10-02 (D152). The row asked for the number and breadth of live sandboxes, which is a policy stock: a regime can exist with nobody in it. It now counts what passes through: firms a regulator let test under relaxed rules, and firms that came out, authorised, withdrawn or failed. Regulators publish cohort lists and exit reports one by one. The evidence corpus holds 22 records against this row, most of them counts of firms admitted or exited, each on the definition and window of its own regulator, and no register assembles them on one definition (O1 triage sweep, 2026-10-01). A realistic candidate for Envisioning to build from those lists. Wireable on a register that counts admissions and completions on one definition for half the frame or more.
University spinouts
direct capability measureno dataset exists- Raw value
- no dataper million people
- Year
- no data
- Normalized
- no data
- Source
- national TTO associations
- History
- no data
Note: Reported nationally with incompatible definitions of what counts as a spinout.
Business share of R&D
capability inputretired, see notes- Raw value
- no data% of R&D
- Year
- no data
- Normalized
- no data
- Source
- OECD MSTI / RICYT
- History
- no data
Note: Retired 2026-10-02. The only working source, OECD MSTI joined with RICYT for Latin America, covers 34 of the 53 countries then in the frame, but the row reads the make-up of a spending stock: who performs the R&D a country pays for. R&D spending itself is a condition since D122, and the share is high both where business research is large (Israel) and where total research is tiny and one firm dominates it (Thailand). State enterprises count as business, so China and Vietnam read their ownership model. UIS stopped publishing the series in 2023. Firms trying new things are read through patents, trademarks, designs and entrepreneurship instead. See D142.
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.
Banco Central regulatory sandbox, first cycle
Brazil's central bank opened its regulatory sandbox to applications in February 2021, received 52 projects, admitted seven to test under relaxed rules from 6 December 2021, and ran the cycle for one year with one permitted extension.
7 projects, projects admitted to the first cycle, 2022. 52 projects, projects that applied to the first cycle, 2021. Banco Central do Brasil, Relatório de Gestão do Sandbox Regulatório, 1º ciclo 2022, retrieved 2026-10-01.
How it worked: The National Monetary Council and the central bank set a joint sandbox rule in 2020, and a standing committee of seven department heads screened applications by cycle, admitting only projects that needed a specific rule relaxed to be tested.
Limits: The central bank is reporting on its own programme. Seven admissions out of 52 shows a selective regime, not a broad one: the report records that the bank found 24 projects not innovative enough or not needing any rule relief, judged five outside its remit, and disqualified 16 more. The report covers the first cycle only and says nothing about what the seven tests changed in regulation or which products reached the market. No second cycle appears in the bank's published sandbox documents as of the retrieval date, so the status is concluded on that absence, not on a closing statement. The securities regulator CVM runs a separate sandbox that this record does not count. The source is a PDF and the counts are on page 11.
Adaptability
How effectively can the system respond when circumstances change?
No trend is shown because too few indicators have values at both ends. The rows below still show the available history.
- Raw value
- 5.97% of labour force
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (SL.UEM.TOTL.ZS)
- History
- Raw value
- 30.2% of unemployed
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- ILOSTAT (DF_UNE_TUNE_SEX_AGE_DUR_NB)
- History
- one year
- Raw value
- 0.179index 0-1, lower = more diversified
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- UNCTAD (US.ConcentDiversIndices)
- History
- one year
- Raw value
- 2.29% of products not exported competitively at the start
- Year
- 2024. The rail runs from 1960 to 2026.
- Normalized
- Source
- Harvard Growth Lab (hs92_country_product_year_4.csv (doi:10.7910/DVN/T4CHWJ))
- History
- one year
Disaster preparedness and recovery
direct capability measureno dataset exists, 1 record- Raw value
- no dataindex 0-100
- Year
- no data
- Normalized
- no data
- Source
- INFORM / UNDRR
- History
- no data
Note: No source observes a country preparing for or recovering from a real shock. INFORM publishes its lack of coping capacity apart from hazard and exposure, but that dimension averages government self-assessments and governance perception indices with stocks such as roads, phones and physicians, which is the perception layer D23 retired plus conditions money buys (D122). Sendai and WHO reporting are governments grading themselves. A warning-reach survey item is a check candidate. See the disaster preparedness memo.
Institutional responsiveness
direct capability measureno dataset exists, 4 records- Raw value
- no dataindex 0-100
- Year
- no data
- Normalized
- no data
- Source
- none
- History
- no data
Note: No dataset exists. Measurable in principle from legislative and regulatory timestamps, which no one has assembled comparably.
Conditions, not scored
What the country has to work with on this capability. The values are shown as the source published them and are not part of the score, the confidence or the trend. The rank counts the countries with a value, best first.
Labour force participationWorld Bank (SL.TLF.ACTI.ZS), 2025
71 % aged 15+, rank 57 of 125. Share of the working-age population in the labour force.
A condition, not scored: how much of the population is in the labor force at all is what a country has to reallocate, a level set by norms, schooling and age, not a record of it reallocating (D141). Participation norms confound it, especially for India. Adaptability reads reallocation through long-term unemployment and export diversification instead.
Fixed broadband subscriptionsWorld Bank (IT.NET.BBND.P2), 2024
24.1 per 100 people, rank 52 of 125. Fixed broadband subscriptions per 100 people.
A condition, not scored: installed infrastructure is what a country has to change with, not a record of it changing (D122). Penalizes mobile-first countries such as India and South Africa.
Electricity transmission lossesWorld Bank (EG.ELC.LOSS.ZS), 2024
15 % of output, rank 90 of 117. Power lost in transmission and distribution, including unbilled use.
A condition, not scored: the state of the grid, and whether its operator can bill what it delivers, is infrastructure a country has to change with, not a record of it changing (D141). Read it beside broadband, the other installed network beside Adaptability.
Informal employmentILOSTAT (DF_SDG_0831_SEX_ECO_RT), 2025
35.6 % of employment, rank 40 of 102. Informal employment as a share of total employment, SDG indicator 8.3.1.
A condition, not scored: how much work carries no contract, registration or social protection describes the labor market a country reallocates through, not it reallocating (D150). Read it beside the unemployment rate: where most work is informal, a person who loses a job takes any work within weeks, so a low rate is not a fluid market. Its direction for Adaptability cannot be defended, since informal work is both the slack that absorbs a shock and the precarity that keeps a worker from moving up, so the rank orders values and is not a verdict. Comparability is weak: the European values come from an income survey (EU-SILC) with a proxy definition, and the rest from labor force or household surveys processed by the ILO. ILOSTAT has no value for the United States, Canada, Australia, Japan, Singapore, Israel, Malaysia, China, the Philippines or Cuba, and some values are old (Haiti and Nicaragua 2012).
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.
Plano Real, the 1994 currency stabilisation
Brazil ended four decades of high inflation with a staged currency reform, taking annual consumer price inflation from 2,075.9 percent in 1994 to 3.2 percent in 1998.
3.2 % per year, annual consumer price inflation, 1998. World Bank, from IBGE, retrieved 2026-08-26.
How it worked: A stable unit of account was introduced alongside the failing currency, prices were re-anchored to it while it was still only a reference, and it became legal tender only once the anchoring had happened.
Limits: Disinflation was held in place with an overvalued exchange rate and high interest rates, and that arrangement broke in the 1999 devaluation and again in the 2002 confidence crisis. One macroeconomic outcome is not a general measure of how fast Brazilian institutions respond to new conditions. The design and the sequencing are the capability here, and no number in this record captures them.
Proalcool, the fuel substitution after the oil shock
Brazil answered the 1973 oil shock by mandating ethanol blending and building a national fuel alcohol industry, taking production from 580 thousand cubic metres in 1975 to 38,199 in 2025, and from 2003 flex-fuel engines moved the choice to the driver.
38,199.192 thousand cubic metres, ethanol production, 2025. National Petroleum Agency, via IPEADATA, retrieved 2026-08-26.
How it worked: A blending mandate created guaranteed demand, subsidised credit built the mills against it, and flex-fuel engines two decades later moved the choice from the state to the driver.
Limits: The programme was heavily subsidised in the 1980s and nearly collapsed when oil prices fell in the 1990s, so the line is not a story of steady success. Production volume says nothing about land use, cane labour conditions, or how the emissions accounting works out. What this evidences is a state changing an entire fuel system in response to an external shock, which is the construct the indicator asks for.
Telebras, the telecom system that was dismantled
Created in 1972, Telebras coordinated Brazil's state telecom system until its 1998 privatisation, when 54 concessionaires were split out and the state moved from operating the network to regulating and universalising service.
54 companies, concessionaires controlled before the split, 1998. Telebras, historical financial report, retrieved 2026-08-29.
How it worked: The state first assembled a fragmented telecom sector into one planning and investment system, then dismantled that holding structure when a new regulatory and private operating model was judged more suitable for expansion.
Limits: The number of controlled companies shows the structure of the old system, not whether privatisation delivered affordable, reliable service everywhere. The transition also left a continuing Telebras with a different role, so the record concerns a model that ended rather than a company that disappeared.
Salário mínimo and its permanent revaluation rule
Brazil's Congress and president established a permanent annual valorização do salário mínimo in Law 14.663/2023, setting the national floor at R$1,320 from May 2023 and linking later adjustments to INPC inflation plus real GDP growth from two years earlier.
1,320 Brazilian reais per month, national minimum wage set by law 14.663/2023, 2023-05. Presidency of the Republic, Law No. 14.663/2023, retrieved 2026-08-31.
How it worked: Congress codified an INPC-plus-lagged-GDP rule, while the Executive issues the annual decree that sets the floor. Linking a visible wage rule to regularly published national indicators makes annual change routine and contestable instead of an ad hoc negotiation.
Limits: A statutory floor is not the same as wages actually paid or compliance with labour law. The formula does not show real purchasing power, employment, informality, regional cost differences, enforcement or causal effects, and later fiscal-cap legislation altered the practical ceiling on increases. This record documents a national rule for routine adjustment rather than an outcome evaluation.
Auxílio Reconstrução, the federal cash grant after the 2024 Rio Grande do Sul floods
After the floods that began in late April 2024 in Rio Grande do Sul, the federal government paid R$ 2.1 billion in Auxílio Reconstrução to 429,000 families, according to the balance its extraordinary secretary for the reconstruction of Rio Grande do Sul presented to a Chamber of Deputies committee on 12 February 2025.
429,000 families, families paid the auxílio reconstrução, 2025-02-12. 2.1 R$ billion, auxílio reconstrução paid, 2025-02-12. Câmara dos Deputados, Agência Câmara (hearing of the Comissão Especial sobre Prevenção e Auxílio a Desastres Naturais), retrieved 2026-10-02.
How it worked: The federal government created a flat, one-off cash grant by provisional measure within two weeks of the disaster, paid through the existing social-payment rails to families on lists the affected municipalities certified, and accepted self-declaration to trade verification for speed.
Limits: The figure is the executive's own balance, stated by the federal secretary for the reconstruction of Rio Grande do Sul at a Chamber hearing and reported by the Chamber's news agency; it is not an audited count, and the Ministry of Integration pages that carried the running totals were behind a login wall during the 2026 electoral period, so the primary executive source could not be opened. The grant was eligibility-by-municipal-list plus self-declaration, so the count shows money reaching families, not need met: the Tribunal de Contas da União (Acórdão 1297/2025, per its news page 'Tribunal analisa benefícios a desabrigados das enchentes') found 87,300 requests (11.97%) pending for more than 100 days at 13 September 2024 and one municipality where none of 1,722 requests had been approved, and ordered the ministry to clear the backlog. The budget was sized for an estimated 375,000 families. A cash transfer is response and early recovery, not reconstruction of housing or protective works, and says nothing about whether exposure fell.
Building
How capable is the country of turning plans and knowledge into functioning systems?
-2.4 over 10 years, from 35.3 in 2016 to 32.9 on 3 indicators seen in both years.
Trends use fewer indicators than the current score and use today's frame. A longer span reaches further back.
- Raw value
- 11.772% of GDP
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (NV.IND.MANF.ZS)
- History
- Raw value
- 11.11% of manufactured exports
- Year
- 2024. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (TX.VAL.TECH.MF.ZS)
- History
Logistics infrastructure quality
perception proxyretired, see notes- Raw value
- no dataindex 1-5
- Year
- no data
- Normalized
- no data
- Source
- World Bank (LP.LPI.INFR.XQ)
- History
- no data
Note: Retired 2026-08-26. An LPI sub-index, so the same freight-forwarder survey as logistics performance and the same problem. Electricity connection speed stays as the observable infrastructure measure in this dimension. See D23.
- Raw value
- 51.961score 0-100
- Year
- 2019. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.ELC.TIME.DFRN)
- History
- Raw value
- 1.757index
- Year
- 2024. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (EF.EFM.UNIV.XD)
- History
Large project delivery
direct capability measureno dataset exists, 10 records- Raw value
- no data% overrun
- Year
- no data
- Normalized
- no data
- Source
- none
- History
- no data
Note: The single best measure of execution capability and there is no comparable international dataset. Assembling one is a defensible Envisioning project. Building mixes industrial output with state delivery capacity, and this indicator carries the delivery side: the other six indicators cannot see a national programme that was delivered. Documented deliveries are recorded in data/evidence and never scored, see D20.
Firm scale-up rate
direct capability measureno dataset exists- Raw value
- no data% of firms
- Year
- no data
- Normalized
- no data
- Source
- OECD DynEmp
- History
- no data
Note: OECD business dynamics work covers members irregularly. Nothing comparable for India, Brazil or South Africa.
Conditions, not scored
What the country has to work with on this capability. The values are shown as the source published them and are not part of the score, the confidence or the trend. The rank counts the countries with a value, best first.
Output per workerWorld Bank (SL.GDP.PCAP.EM.KD), 2025
41,840 constant 2021 PPP $, rank 68 of 123. GDP per person employed, constant purchasing power parity.
A condition, not scored: output per worker is income per worker, the wealth the benchmark tests capability against, so it is published beside Building as context (D122).
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.
Brazil's central bank specified, built and ran a mandatory instant payment rail that settled 7.98 billion transactions in July 2026, for 152 million people and 14 million firms transacting in that month.
7,975,213,950 transactions, pix transactions settled in the month, 2026-07. Banco Central do Brasil, Pix statistics API, retrieved 2026-08-26.
How it worked: The central bank wrote the standard, mandated participation for every institution above a size threshold, ran the settlement infrastructure itself and set the price to zero for individuals.
Limits: Transaction volume shows adoption of one payment rail. It says nothing about cost or schedule performance on a capital project, which is what this indicator asks for. Pix was specified and enforced by a single institution with regulatory power over the participants, so it is weak evidence about delivery that needs several agencies to hold position.
GOV.BR federal identity and service platform
Brazil consolidated federal public services behind one identity platform, reporting 175 million active accounts and 5,179 digital services in May 2026.
175,000,000 accounts, active gov.br accounts, 2026-05. Governo Digital, Ministry of Management and Innovation in Public Services, retrieved 2026-08-26.
How it worked: One identity provider for every federal service, with assurance levels tied to records the state already held, and a rule that services migrate to it rather than build their own login.
Limits: An account count measures registration and a service count measures listing. Neither shows whether a service completes, how long it takes, or what it costs to run. Both numbers are published by the programme about itself, with no external audit attached.
Sistema Unico de Saude, universal public health system
Brazil wrote a right to health into the 1988 constitution and built a single public system that covers everybody in the country, and the WHO service coverage index for Brazil rose from 71 in 2000 to 84 in 2023.
84 index 0-100, uhc service coverage index, 2023. World Health Organization, Global Health Observatory, retrieved 2026-08-26.
How it worked: A right to health written into the constitution, funded by earmarked federal transfers and delivered by municipalities under national rules.
Limits: A service coverage index counts whether services reach people. It says nothing about waiting times, quality, or the difference between a capital city and the interior, and it credits private provision alongside the public system. Brazil spends less per head on public health than most countries with a comparable index, which this number cannot show.
Programa Nacional de Imunizacoes, and its erosion
Brazil's national immunisation programme reached 99 percent DPT coverage in 2003 and held above 95 percent for a decade, then fell to 68 percent by 2021 and had recovered to 91 percent by 2024.
91 % of children, dpt immunisation coverage, children aged 12-23 months, 2024. 99 % of children, dpt immunisation coverage at its 2003 peak, 2003. World Bank, from WHO and UNICEF estimates, retrieved 2026-08-26.
How it worked: Free universal vaccination delivered through the primary care network, with national campaign days that made coverage a visible public event.
Limits: This record is here because it runs both ways. A delivery capability that reached the whole country lost a third of its coverage in five years and has not fully recovered, which is evidence about durability rather than about peak performance. Coverage is administratively reported, DPT is one antigen among many, and the fall has several causes that the series cannot separate.
Luz para Todos, rural electrification
Brazil connected the last rural households to electricity through a national programme run with the state and private distributors, taking access from 94.4 percent of the population in 2000 to 99.8 percent in 2024.
99.8 % of population, access to electricity, 2024. World Bank, from national and utility sources, retrieved 2026-08-26.
How it worked: The federal government paid the connection cost and delivered through the existing distribution concessionaires, with connection targets written into their contracts.
Limits: Access counts a connection. It says nothing about how often the power fails, what it costs, or the isolated Amazon communities that make up most of the remaining gap. Access was already rising before 2003, so the programme accelerated a trend rather than starting one.
Bolsa Familia and the single registry behind it
Brazil built one national registry of low-income households and paid conditional transfers through it, going from 6.6 million benefits in December 2004 to a peak of 21.0 million in 2022 and 18.6 million in December 2025.
18,618,236 benefits, benefits paid in december, 2025. Ministry of Social Development, via IPEADATA, retrieved 2026-08-26.
How it worked: One registry of low-income households shared across every social programme, with payments made directly to a card held by the mother, conditional on school attendance and health checks.
Limits: A benefit count is administrative and says nothing about whether the transfers reduced poverty. The programme was renamed and restructured twice between 2021 and 2023, so the series covers more than one design. The capability worth copying is the registry and the targeting, and neither has a number in this record.
Fully electronic national elections
Brazil has run every election on electronic voting machines since 2000, across an electorate that reached 155.9 million voters in 2024, with results published the same evening.
155,908,437 voters, registered electorate, 2024. Superior Electoral Court, via IPEADATA, retrieved 2026-08-26.
How it worked: One election authority owns the machines, the software and the count, with public audit ceremonies and results published the same evening.
Limits: The electorate measures the scale of the operation and not the speed or the integrity of the count. The Superior Electoral Court publishes result timing and audit results separately and neither is in this number. Electronic voting has been contested politically in Brazil despite repeated public audits, which is a fact about trust rather than about delivery.
Deepwater and pre-salt oil production
Brazil developed deepwater extraction, found the pre-salt fields in 2006 and produced them at depths of more than 5,000 metres, with national oil production rising from 71,844 thousand cubic metres in 2000 to 219,032 in 2025.
219,032.409 thousand cubic metres, oil production, 2025. National Petroleum Agency, via IPEADATA, retrieved 2026-08-26.
How it worked: A state oil company sustained deepwater research for decades, and licensing rules concentrated the learning from each field in one operator.
Limits: Production is an outcome shared between Petrobras and foreign operators, and several individual platforms ran years late and over budget, which is exactly the cost and schedule record this indicator asks for and which this number hides. Expanding oil output also sits against Brazil's climate commitments, and a production figure cannot weigh that.
BNDES, the national development bank
Founded in 1952, Brazil's federal development bank provides long-term financing and investment across the national economy, and it disbursed R$169.7 billion in 2025.
169.7 R$ billions, bndes disbursements, 2025. BNDES, Agência de Notícias, retrieved 2026-08-29.
How it worked: The federal development bank converts public capital and long-term finance into patient support for firms and infrastructure projects that commercial lenders may not carry through their formation period.
Limits: Disbursement volume measures the bank's activity, not whether the projects it finances arrive on time, within budget or with durable public value. The source is the institution reporting on itself, and the number mixes market-rate lending with policy-directed finance.
Casa da Moeda do Brasil, the national mint
Founded in 1694, Brazil's national mint has remained a public institution through colonial, imperial and republican regimes and now produces currency, identity documents and passports after more than 330 years of operation.
330 years, reported institutional history, 2026. Casa da Moeda do Brasil, history of the CMB, retrieved 2026-08-29.
How it worked: A permanent public production institution carries the state's credential infrastructure across political and monetary transitions, preserving practical capability while its outputs change with the regime around it.
Limits: Institutional survival and the ability to produce state credentials show continuity, not the cost, quality or strategic value of every product made by the mint. The institution also changed its technologies and functions over time, so continuity does not mean an unchanged organisation.