- Raw value
- 1429.41articles per million people
- Year
- 2023. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IP.JRN.ARTC.SC)
- History
Belarus
Strongest usable evidence: Adaptability, at 76.5. Raise Building first, at 34.1. Coordination needs more evidence: confidence is 0.27.
Raise, lowest first
| Dimension | Confidence | Score |
|---|---|---|
| Building | 0.53 | 34.1 |
| Anticipation | 0.46 | 37.7 |
Measure before managing
| Dimension | Confidence | Score |
|---|---|---|
| Coordination | 0.27 | 45.1 |
| Experimentation | 0.32 | 12.1 |
| Trust | 0.36 | 42.3 |
| Shared Purpose | 0.38 | 45.2 |
| Agency | 0.41 | 47.8 |
| Learning | 0.44 | 38.2 |
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: Added in the 9.0.0 completion, which takes every country of a million people or more that is measurable in all nine capabilities.
Read Belarus 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.
| Adaptability | 0.62 | 4 of 6 | 1.00 | no trend | 46.0 | -30.5 | |
| Agency | 0.41 | 3 of 5 | 0.75 | no trend | 30.0 | -17.8 | |
| Shared Purpose | 0.38 | 3 of 6 | 0.83 | no trend | 22.0 | -23.2 | |
| Coordination | 0.27 | 2 of 5 | 0.92 | no trend | 31.0 | -14.1 | |
| Trust | 0.36 | 4 of 7 | 0.79 | no trend | 27.0 | -15.3 | |
| Learning | 0.44 | 3 of 4 | 0.64 | no trend | 40.0 | +1.8 | |
| Anticipation | 0.46 | 2 of 4 | 0.96 | +10.7(2) | 31.0 | -6.7 | |
| Building | 0.53 | 4 of 6 | 0.83 | +0.4(3) | 41.0 | +6.9 | |
| Experimentation | 0.32 | 3 of 9 | 1.00 | -4.1(3) | 16.0 | +3.9 |
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?
+10.7 over 10 years, from 27.0 in 2016 to 37.7 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
- 77.198index 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- 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- 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), 2024
0.59 % of GDP, rank 56 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), 2024
1,568 per million people, rank 46 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
12,730 per million people, rank 39 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.
Panel estimate, round 2, how this layer works
- 31.0 institutionalist@claude-opus-5-5, self-confidence 0.50
I hold near 32. Panelist B is right that data publication has been restricted since 2020, which weakens the statistical score; planning answers to one person and missed its own legitimacy crisis.
- 30.0 bottom_up@claude-opus-5-5, self-confidence 0.40
Statistical performance is decent but data publication has been restricted since 2020 and research output is low. Planning is centralised and blind to what the leadership will not see.
- 31.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.40
Statistical performance is high but publication is restricted and research impact is among the lowest. A closed centralised system cannot see what its leadership will not 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
- 1.274per 1,000 aged 15-64
- Year
- 2022. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.BUS.NDNS.ZS)
- History
Time to start a business
direct capability measureretired, see notes- Raw value
- no datadays
- Year
- no data
- Normalized
- no data
- Source
- World Bank (IC.REG.DURS.MA.DY)
- History
- no data
Note: Retired 2026-10-17 (D167). Doing Business stopped in 2019 and the World Bank archived the code. Its successor, B-READY, publishes the time and cost to register a firm as a score, and business entry efficiency carries that construct. See D23.
Business entry efficiency
direct capability measuremissing- Raw value
- no datascore 0-100
- Year
- no data
- Normalized
- no data
- Source
- World Bank (IC.BRE.BE.P3)
- History
- no data
Note: Activation energy, measured directly: the third pillar of B-READY business entry, which replaces time to start a business (D167). The World Bank publishes a score, not days, and the score adds the registration cost and the route for a foreign firm, so a cheap but slow registration and a fast but costly one can score alike. B-READY covered 74 of 125 countries in the 2025 round, and the countries it has not reached have no value.
- Raw value
- 4count
- 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
- 7.1mean 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
94.3 % of population, rank 20 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), 2017
81.2 % aged 15+, rank 56 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), 2021
29.2 % of GDP, rank 86 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.
Panel estimate, round 2, how this layer works
- 26.0 institutionalist@claude-opus-5-5, self-confidence 0.50
I hold near 25. Few procedures mean little when the state closes private organisations at will; IT emigration is agency exercised by leaving, not through institutions.
- 30.0 bottom_up@claude-opus-5-5, self-confidence 0.40
Few procedures, but very low density and the closure of hundreds of private organisations since 2020 limit action to what the state permits. The exodus of IT workers is agency exercised by leaving.
- 32.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.40
Few procedures but very low business density and no efficiency data. Repression since 2020 limits independent action, and I side with A and B over my round 1 38.
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.
Border compliance time to export
direct capability measureretired, see notes- Raw value
- no datahours
- Year
- no data
- Normalized
- no data
- Source
- World Bank (TRD.ACRS.BRDR.EXPT.BRDR.COMP.HR.DB1619)
- History
- no data
Note: Retired 2026-10-17 (D167). Doing Business stopped in 2019 and the World Bank archived the code. B-READY trade efficiency carries the construct, the time and cost of border compliance, now reported by firms. See D23.
Trade compliance efficiency
direct capability measuremissing- Raw value
- no datascore 0-100
- Year
- no data
- Normalized
- no data
- Source
- World Bank (IC.BRE.IT.P3)
- History
- no data
Note: Observable throughput of several agencies acting together at the border: the third pillar of B-READY international trade, which replaces border compliance time to export (D167). It is a score, not hours, and it adds imports, compliance cost and goods ordered online. The World Bank reads it from firm surveys, where Doing Business asked experts about one standard shipment. The series note also names participation in digital trade and perceived obstacles to trade; the 2023 scoring table weighed only time and cost, and the revised weights were not read. B-READY covered 74 of 125 countries in the 2025 round.
- Raw value
- 106.371percentage points from approved budget
- Year
- 2022. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (GF.XPD.BUDG.ZS)
- History
University-industry collaboration
direct capability measureno dataset exists- 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
- 0.112index 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- 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), 2018
1.418 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.
Panel estimate, round 2, how this layer works
- 30.0 institutionalist@claude-opus-5-5, self-confidence 0.55
I hold 30. The panel agrees: budget execution shows vertical command, and civil society near the floor after mass liquidation means independent actors cannot organise.
- 31.0 bottom_up@claude-opus-5-5, self-confidence 0.45
Tight budget execution is vertical command. Civil society is at the floor after mass liquidation of NGOs, so independent actors cannot organise around their own objectives.
- 32.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.40
Budget execution shows command capacity, but civil society is at the floor. The construct is coordination among independent actors, which is absent.
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.
Time to enforce a contract
direct capability measureretired, see notes- Raw value
- no datadays
- Year
- no data
- Normalized
- no data
- Source
- World Bank (ENF.CONT.DURS.DY)
- History
- no data
Note: Retired 2026-10-17 (D167). Doing Business stopped in 2019 and the World Bank archived the code. B-READY dispute resolution efficiency carries the construct, the time and cost to resolve a commercial dispute and enforce the decision. See D23.
Dispute resolution efficiency
direct capability measuremissing- Raw value
- no datascore 0-100
- Year
- no data
- Normalized
- no data
- Source
- World Bank (IC.BRE.DR.P3)
- History
- no data
Note: Confidence in contracts, measured as court throughput rather than opinion: the third pillar of B-READY dispute resolution, which replaces time to enforce a contract (D167). It is a score, not days, and it adds cost, the reliability of the process and the recognition of a decision. B-READY covered 74 of 125 countries in the 2025 round.
- Raw value
- 4.908% of firms
- Year
- 2018. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.FRM.BRIB.ZS)
- History
- Raw value
- 0.368scale 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
- 40% 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- 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
- 20.1% 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
11.6 % 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.
Panel estimate, round 2, how this layer works
- 27.0 institutionalist@claude-opus-5-5, self-confidence 0.45
I hold near 28. Generalised trust at 40 percent is real social capital, as panelist C says, but courts that never constrain the state cannot support impersonal cooperation, and out-group cooperation is low.
- 29.0 bottom_up@claude-opus-5-5, self-confidence 0.35
I lower from 35 because panelist A is right that a court system that never rules against the state cannot carry impersonal cooperation. Generalised trust at 40 percent is real social capital, so I do not go as low as C.
- 25.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.40
Court compliance is near zero, so courts do not bind the state. Generalised trust of 40% is real social capital, which lifts me slightly above 22, but cooperation beyond the in-group is low.
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
- 0.7index 0-1
- Year
- 2020. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (HD.HCI.OVRL)
- History
- one year
- Raw value
- 31.521% of firms
- Year
- 2018. 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
- 0.366ratio 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
70.1 % gross, rank 41 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), 2024
5 % of GDP, rank 39 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
12.7 % of secondary, rank 57 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.
Belarus's labour, employment and social protection bodies referred 11,900 unemployed people to vocational training, retraining, upgrading and short courses in 2021 to 2024, 2,300 of them in 2024, and 91.9 percent of the 2024 referrals were training ordered by an employer with a guaranteed job.
2,300 people, unemployed people referred to vocational training, retraining, upgrading and training courses (measure 16), 2024. 11,900 people, unemployed people referred to the same training, cumulative, 2021 to 2024. Ministry of Labour and Social Protection of the Republic of Belarus, report on the implementation in 2021 to 2024 of the State Programme Labour Market and Employment Promotion for 2021 to 2025, retrieved 2026-10-17.
How it worked: District employment bodies refer registered unemployed people to short vocational courses, mostly training ordered by a named employer who guarantees the job afterwards, with the state paying tuition and a stipend.
Limits: The ministry reports on its own programme, in a Russian-language PDF; the figures are on pages 6 to 7. Referrals are not completions or job outcomes. The scale is very small: 2,300 people in a country of about 9 million, which the report itself puts at 6 percent of unemployed people needing work, and registered unemployment in Belarus is low by design, so the count says little about adults in work. The same report gives a separate indicator, the share of employees who completed vocational training, at 16 percent in 2024, which sits closer to the construct but is employer training reported by the state, not a delivery. The 2021 start is the start of the current five-year programme; training of the unemployed by the employment bodies predates it and is not counted.
Panel estimate, round 2, how this layer works
- 40.0 institutionalist@claude-opus-5-5, self-confidence 0.50
I hold 40. The school system is well organised, but citation impact is among the lowest and isolation since 2022 narrows knowledge flow.
- 40.0 bottom_up@claude-opus-5-5, self-confidence 0.40
Human capital stock is high from a well-run school system, but citation impact is very low and academic emigration and isolation since 2020 cut knowledge flow.
- 41.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.40
HCI and training are above median, but citation impact is among the lowest and academic emigration erodes the stock.
Experimentation
How easily can new approaches be attempted, tested, abandoned, and improved?
-4.1 over 10 years, from 16.2 in 2016 to 12.1 on 3 indicators seen in both years.
-21.2 over 20 years, from 33.3 in 2006 to 12.1 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
- 256per million people
- Year
- 2024. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IP.PAT.RESD)
- History
- Raw value
- 5219per million people
- Year
- 2024. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IP.TMK.RSCT)
- History
- Raw value
- 152per million people
- Year
- 2024. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IP.IDS.RSCT)
- History
New public software repositories
downstream outcomemissing- Raw value
- no dataper million people
- Year
- no data
- Normalized
- no data
- Source
- GitHub Innovation Graph (data/repositories.csv)
- History
- no data
Note: A public repository is a software project someone started. It costs nothing, needs no fee or lawyer, and the platform keeps it whether or not it is abandoned, so new repositories per head are the closest open count of many cheap attempts. The value is the change in GitHub's count of public repositories located in the country from the first quarter of one year to the first quarter of the next (2025 to 2026), net of deletions and relocations, read from the GitHub Innovation Graph at a pinned commit. Only public work on one platform is visible: GitLab, Bitbucket, Gitee and private repositories are not. Location is the most common IP location of a repository's members, so VPN users are misplaced and Singapore reads high partly as a regional hub. Coursework and tutorials create repositories too. A country whose count grows by less than a quarter of the median growth is held by an access gate and never scored at zero: in the 2026 file that is China, where the count fell, and Cuba. The publisher is a platform reporting on itself, and no source tier fits it. CC0. See D145.
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.
Early-stage entrepreneurial activity
direct capability measuremissing- Raw value
- no data% aged 18-64
- Year
- no data
- Normalized
- no data
- Source
- Global Entrepreneurship Monitor (APS key indicators, TEA rate)
- History
- no data
Note: From the GEM Adult Population Survey, entered by hand because GEM has no open API. TEA counts every new business, so necessity self-employment scores the same as a funded startup, which is why Chile and Argentina sit above the United States here. Read it as how many people are trying, not as how much value the attempts create. GEM does not run every economy every year: Singapore last took part in 2014 and the recency term marks that value down hard.
Tolerance of entrepreneurial failure
perception proxymissing- Raw value
- no data% not deterred
- Year
- no data
- Normalized
- no data
- Source
- Global Entrepreneurship Monitor (APS key indicators, fear of failure rate)
- History
- no data
Note: Stored as 100 minus the published GEM fear of failure rate, so the direction matches the rest of the registry. GEM measures that rate among adults who already see good opportunities, not among all adults, so the denominator differs from the label. Attitudinal: bankruptcy law and time to discharge would be the observable substitute and are still worth wiring beside it.
Firms through regulatory sandboxes
direct capability measureno dataset exists- 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.
Panel estimate, round 2, how this layer works
- 14.0 institutionalist@claude-opus-5-5, self-confidence 0.45
I hold 14. The High-Tech Park was a real legal sandbox, but most of its sector left after 2020, which removed the strongest institutional channel for trial and error.
- 16.0 bottom_up@claude-opus-5-5, self-confidence 0.35
IP counts are low and the High-Tech Park scene largely relocated after 2020. Repository data are missing.
- 16.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.35
Patents are mid-low and repositories are missing. The Hi-Tech Park channel largely relocated after 2020, so I move toward A and B.
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
- 3.38% of labour force
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (SL.UEM.TOTL.ZS)
- History
- Raw value
- 31% 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
- 0.11index 0-1, lower = more diversified
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- UNCTAD (US.ConcentDiversIndices)
- History
- one year
- Raw value
- 4.69% 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- 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
79.6 % aged 15+, rank 18 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
36.3 per 100 people, rank 26 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
6.6 % of output, rank 34 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)
No value for this country. 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.
State programmes to overcome the consequences of the Chernobyl disaster
Belarus ran six state programmes on the consequences of the Chernobyl disaster from 1990 to 2025, on which the government reports spending more than 20 billion US dollars equivalent; 138,000 residents were evacuated and resettled from 450 settlements, and by 2025 about 1.3 million people a year, including more than 211,700 children and adolescents, received special medical screening.
1,300,000 people per year, people receiving special medical screening each year, 2025. 138,000 people, residents evacuated and resettled from contaminated territory, cumulative since 1986, reported 2025. Permanent Mission of Belarus to the United Nations, memorandum circulated as UN General Assembly document A/79/910, retrieved 2026-10-16.
How it worked: The Belarusian government organised recovery from a long-lived radiological disaster as a sequence of five-year state programmes, moving from resettlement and dose reduction in the 1990s to medical screening, radiation control of food and the economic redevelopment of affected districts.
Limits: The source is the Belarusian government describing its own programme in a diplomatic memorandum; the UN circulated it and did not verify it, and no independent audit or evaluation stands behind it. The numbers sit in a four-page PDF (pages 2 and 3). The first evacuations in 1986 were carried out under Soviet authority, so the 138,000 figure predates the Belarusian state programmes, and 200,000 more people left on their own. Screening counts are activity, not health outcomes. The spending figure is a cumulative dollar equivalent with no year-by-year series. The fall in people living in contaminated zones, from more than 2 million in 3,678 settlements to 930,500 in 2,022, reflects radioactive decay and rezoning as well as policy, so it is not used as the metric. The budget share fell from up to 22 percent in the early 1990s to just over 1 percent by 2025 according to Gosatomnadzor. The dedicated programme ended in 2025, and its measures were split across thematic state programmes for 2026 to 2030, so the separate programme no longer exists as a budget line.
Panel estimate, round 2, how this layer works
- 45.0 institutionalist@claude-opus-5-5, self-confidence 0.50
I hold 45. Rerouting trade to Russia after sanctions is dependence on a patron, and low unemployment is labour held by state firms; the indicator 76 rewards both.
- 48.0 bottom_up@claude-opus-5-5, self-confidence 0.35
Low unemployment and diverse exports are shaped by state employment and a rerouting of trade to one patron after sanctions. That is reorientation under dependence, not flexibility.
- 46.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.40
Low unemployment is held by state employment, and trade rerouting to Russia is dependence on one patron. Diversification is real but the reallocation is narrow.
Building
How capable is the country of turning plans and knowledge into functioning systems?
+0.4 over 10 years, from 24.3 in 2016 to 24.7 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
- 20.506% of GDP
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (NV.IND.MANF.ZS)
- History
- Raw value
- 6.016% of manufactured exports
- Year
- 2021. 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
- 62.174score 0-100
- Year
- 2019. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.ELC.TIME.DFRN)
- History
- Raw value
- 0.183index
- 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, 2 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
58,177 constant 2021 PPP $, rank 52 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.
M6 Minsk to Grodno transit corridor upgrade
Belarus's Ministry of Transport and Communications widened 154 km of the M6 Minsk to Grodno highway to dual carriageway under a loan approved in December 2014, against 86 km planned, after civil works for the planned sections were awarded for less than half the estimate; the corridor component cost US$242.15 million against US$259.28 million at entry, and the loan closed in June 2022 against an original June 2020.
154 km, length of single carriageway reconstructed and widened to dual carriageway, 2022-06-15. 86 km, length planned at entry, 2014-12-19. World Bank, Implementation Completion and Results Report, Belarus Transit Corridor Improvement Project (P149697), December 2022, retrieved 2026-10-02.
How it worked: The transport ministry tendered the corridor in lots to joint ventures of local state-owned contractors, and when bids came in far below estimate it used the savings to add 67 km of the same corridor without new financing.
Limits: The figures are the World Bank's, from a completion report on its own loan, with costs reported by the borrower. The component costs are in Table 2 (printed page 9), the 154 against 86 km in para. 32 (page 14), the savings in para. 52 (page 21) and the dates on the datasheet (page 2). The low cost was helped by a government decision to exempt the works from VAT, so part of the saving is a transfer within the state, not efficiency. The actual cost excludes design, supervision and land acquisition, which the government paid separately. Works were not contracted until July 2016, more than a year after effectiveness, because of a dispute over whether state-owned Belarusian contractors were eligible, and the road safety centre was incomplete at closing. The report was written in 2022, after which World Bank engagement with Belarus stopped, so later maintenance of the road is unknown.
Belarusian nuclear power plant (BelAES), delivered behind schedule
Belarus started building its first nuclear power plant at Ostrovets in November 2013, a two-unit WWER-1200 plant totalling 2,400 MW. Its regulator's 2019 report scheduled unit 1 for 2019 and unit 2 for 2020. Unit 1 was commissioned in 2021 and unit 2 in October 2023, three years after the 2019 schedule.
2023 year, year power unit no. 2 entered commercial operation, 2023-10. 2020 year, year power unit no. 2 was scheduled for commissioning in the 2019 national report, 2019. Gosatomnadzor, Ministry for Emergency Situations of the Republic of Belarus, National Report on the implementation of the Convention on Nuclear Safety (2025), retrieved 2026-10-02.
How it worked: The Belarusian state chose a single foreign state vendor to build a reference design turnkey, and built up a domestic regulator and operator in parallel under a sequence of IAEA review missions, accepting slippage on the vendor's schedule.
Limits: This is a schedule figure only. The record carries no official budget or final cost for the plant, so cost performance is unknown. The slip is measured against a schedule that the 2019 report itself calls 'updated'. This record uses the 2019 schedule because it is the one stated in an official source. The schedule is given in years, not months, so the three-year slip for unit 2 is approximate. The 2019 schedule speaks of commissioning while the 2023 figure is the start of commercial operation, so the two milestones may not be identical. Both figures come from the Belarusian regulator reporting on its own country's flagship project. The plant was built turnkey on a Russian design, financed from the republican budget and a Russian state export credit, as the 2019 national report states. The delivery is therefore only partly attributable to Belarusian institutions: they decided, licensed, supervised, financed and now operate it. The source does not show capacity factors or outages after commissioning.
Panel estimate, round 2, how this layer works
- 41.0 institutionalist@claude-opus-5-5, self-confidence 0.50
I move to 41. Panelist C is right that the Astravets nuclear plant and a large manufacturing base show state execution capacity, but much of it rests on Russian finance and subsidised inputs.
- 40.0 bottom_up@claude-opus-5-5, self-confidence 0.40
Manufacturing share is high and the Astravets nuclear plant was delivered, so state capacity to build heavy systems exists. Low economic fitness and Russian subsidies limit it.
- 42.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.40
Strong manufacturing share and the Astravets plant show state execution in heavy industry, but economic fitness is low and subsidies from Russia carry the base. I sit between A and B and above my 46 less a subsidy discount.