Ukraine

Strongest usable evidence: Adaptability, at 67.2. Raise Building first, at 10.4. Trust needs more evidence: confidence is 0.16.

Raise, lowest first

Raise, lowest first
Dimension	Confidence	Score
Building	0.57	10.4
Learning	0.46	32.0
Anticipation	0.46	41.3

Measure before managing

Measure before managing
Dimension	Confidence	Score
Trust	0.16	28.7
Agency	0.19	41.3
Shared Purpose	0.26	75.7
Coordination	0.28	66.5
Experimentation	0.41	21.6

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: Added in the 9.0.0 completion, which takes every country of a million people or more that is measurable in all nine capabilities.

Download this country as CSV

Anticipation41.3Confidence0.46usableHow capable is the country of identifying and preparing for emerging change?

UkraineCompare with

Read Ukraine 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.

Ukraine dimension summary

Shared Purpose	Shared Purpose To what extent can people imagine themselves as participants in a common project? Scores use one 0 to 100 scale for all countries. Each flag is a country, and the ring around it carries how well evidenced that score is. The band beside each score in the list shows its evidence level, and the last column shows the trend and the number of indicators behind it. Loading…	0.26	2 of 6	0.83	no trend	76.0	+0.3
Adaptability	Adaptability How effectively can the system respond when circumstances change? Scores use one 0 to 100 scale for all countries. Each flag is a country, and the ring around it carries how well evidenced that score is. The band beside each score in the list shows its evidence level, and the last column shows the trend and the number of indicators behind it. Loading…	0.54	4 of 6	0.88	no trend	80.0	+12.8
Coordination	Coordination How effectively can independent actors organize around shared objectives? Scores use one 0 to 100 scale for all countries. Each flag is a country, and the ring around it carries how well evidenced that score is. The band beside each score in the list shows its evidence level, and the last column shows the trend and the number of indicators behind it. Loading…	0.28	2 of 5	0.96	no trend	70.0	+3.5
Anticipation	Anticipation How capable is the country of identifying and preparing for emerging change? Scores use one 0 to 100 scale for all countries. Each flag is a country, and the ring around it carries how well evidenced that score is. The band beside each score in the list shows its evidence level, and the last column shows the trend and the number of indicators behind it. Loading…	0.46	2 of 4	0.96	+12.4(2)	42.0	+0.7
Agency	Agency How able are individuals and organizations to turn an intention into action? Scores use one 0 to 100 scale for all countries. Each flag is a country, and the ring around it carries how well evidenced that score is. The band beside each score in the list shows its evidence level, and the last column shows the trend and the number of indicators behind it. Loading…	0.19	2 of 5	0.50	no trend	56.0	+14.7
Learning	Learning How effectively does the country acquire, distribute, and update knowledge? Scores use one 0 to 100 scale for all countries. Each flag is a country, and the ring around it carries how well evidenced that score is. The band beside each score in the list shows its evidence level, and the last column shows the trend and the number of indicators behind it. Loading…	0.46	3 of 4	0.67	no trend	42.0	+10.0
Trust	Trust How much cooperation is possible beyond immediate personal networks? Scores use one 0 to 100 scale for all countries. Each flag is a country, and the ring around it carries how well evidenced that score is. The band beside each score in the list shows its evidence level, and the last column shows the trend and the number of indicators behind it. Loading…	0.16	2 of 7	0.79	no trend	38.0	+9.3
Experimentation	Experimentation How easily can new approaches be attempted, tested, abandoned, and improved? Scores use one 0 to 100 scale for all countries. Each flag is a country, and the ring around it carries how well evidenced that score is. The band beside each score in the list shows its evidence level, and the last column shows the trend and the number of indicators behind it. Loading…	0.41	4 of 9	1.00	-13.8(3)	40.0	+18.4
Building	Building How capable is the country of turning plans and knowledge into functioning systems? Scores use one 0 to 100 scale for all countries. Each flag is a country, and the ring around it carries how well evidenced that score is. The band beside each score in the list shows its evidence level, and the last column shows the trend and the number of indicators behind it. Loading…	0.57	4 of 6	0.90	-5.3(3)	42.0	+31.6

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?

+12.4 over 10 years, from 28.9 in 2016 to 41.3 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.

downstream outcomeMeasures a result that usually follows from the capability.
Scientific articles
Scientific and technical journal articles published, per million people.
Measured in articles per million people; higher is better. Source: World Bank (IP.JRN.ARTC.SC), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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observed

Raw value: 15498.36articles per million people
Year: 2023. The rail runs from 1960 to 2026.
Normalized: downstream outcomeMeasures a result that usually follows from the capability.
Scientific articles
Scientific and technical journal articles published, per million people.
Measured in articles per million people; higher is better. Source: World Bank (IP.JRN.ARTC.SC), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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Source: World Bank (IP.JRN.ARTC.SC)
History

direct capability measureMeasures the thing itself.
Statistical performance
World Bank Statistical Performance Indicators overall score for the national statistical system.
Measured in index 0-100; higher is better. Source: World Bank (IQ.SPI.OVRL), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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observed

Raw value: 75.997index 0-100
Year: 2024. The rail runs from 1960 to 2026.
Normalized: direct capability measureMeasures the thing itself.
Statistical performance
World Bank Statistical Performance Indicators overall score for the national statistical system.
Measured in index 0-100; higher is better. Source: World Bank (IQ.SPI.OVRL), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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Source: World Bank (IQ.SPI.OVRL)
History

Government foresight capacity

no dataset exists, 1 record

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

no 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
0.37 % of GDP, rank 69 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), 2022
586 per million people, rank 63 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
9,937 per million people, rank 44 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.

Ukrainelinked to Government foresight capacitystarted 1992operating below its peak
Natsionalnyi instytut stratehichnykh doslidzhen, and its falling staff ceiling
Presidents of Ukraine kept the National Institute for Strategic Studies, created by decree in 1992 to carry out analytical and forecasting research for the President and the National Security and Defence Council, through every change of president, but cut its staff ceiling from 350 posts, set by Decree 662/2010 when it took over the tasks of two liquidated security institutes, to 260 posts by Decree 120/2015 and to 234 posts by Decree 737/2019, which is in force.
234 posts, staff ceiling of the national institute for strategic studies set by presidential decree, 2019-10 (Decree 737/2019, in force on 2026-10-17). 350 posts, staff ceiling under decree 662/2010, in force from june 2010 to march 2015, 2010-06 to 2015-03. Verkhovna Rada of Ukraine, Legislation of Ukraine portal, Decree of the President of Ukraine No. 737/2019 of 7 October 2019 and the Statute of the Institute it approves, retrieved 2026-10-17.
How it worked: The President kept a strategic studies institute directly subordinate to the office and resized it by decree, enlarging it in 2010 by absorbing two liquidated security institutes and then cutting its staff ceiling twice, in 2015 and 2019, without closing it.
Limits: Both figures are staff ceilings set by decree, not headcounts, budgets or output: they show how many posts the President allowed, not how many were filled or what the institute produced. The 350 ceiling of 2010 included the tasks of the Institute for National Security Problems and the National Institute for International Security Problems, which Decree 662/2010 liquidated and folded in, so part of the later cut undoes a merger rather than removing a capacity the institute always had. The 350 and 260 values were read from dated editions of Decree 662/2010 on the same portal (https://zakon.rada.gov.ua/laws/show/662/2010/ed20100720/print and https://zakon.rada.gov.ua/laws/show/662/2010/ed20150306/print); a short-lived edition of July 2010 carried 315 posts before Decree 760/2010 restored 350. Forecasting is one task among several: the 2019 statute names analytical and forecasting research on the development and national security of Ukraine, drafting the President's annual messages to parliament and expert review of draft laws, so the institute is a presidential think tank with a forecasting mandate rather than a dedicated foresight unit. The ceiling has not changed in law since 2019, through the full-scale war; this record does not show staffing after 2022.

Panel estimate, round 2, how this layer works

42.0 institutionalist@claude-opus-5-5, self-confidence 0.45
Hold. The civilian state underprepared for 2022 despite warnings; statistics and wartime planning are now serious.
44.0 bottom_up@claude-opus-5-5, self-confidence 0.45
Statistics are good and society prepared through territorial defence and volunteer networks after 2014, though the state underprepared civilians for 2022.
40.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.40
Good statistics and research volume. The 2022 invasion was foreseen by allies more than by domestic civilian planning, though wartime warning systems are strong and income-independent.

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.

direct capability measureMeasures the thing itself.
New business density
New limited liability companies registered per 1,000 working-age people.
Measured in per 1,000 aged 15-64; higher is better. Source: World Bank (IC.BUS.NDNS.ZS), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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observed

Raw value: 1.646per 1,000 aged 15-64
Year: 2017. The rail runs from 1960 to 2026.
Normalized: direct capability measureMeasures the thing itself.
New business density
New limited liability companies registered per 1,000 working-age people.
Measured in per 1,000 aged 15-64; higher is better. Source: World Bank (IC.BUS.NDNS.ZS), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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Source: World Bank (IC.BUS.NDNS.ZS)
History

Time to start a business

retired, 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

missing

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.

direct capability measureMeasures the thing itself.
Procedures to start a business
Number of separate official procedures to register a company.
Measured in count; lower is better. Source: World Bank (IC.REG.PROC.MA.NO), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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observed

Raw value: 6count
Year: 2019. The rail runs from 1960 to 2026.
Normalized: direct capability measureMeasures the thing itself.
Procedures to start a business
Number of separate official procedures to register a company.
Measured in count; lower is better. Source: World Bank (IC.REG.PROC.MA.NO), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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Source: World Bank (IC.REG.PROC.MA.NO)
History

Adults doing digital tasks

no 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.

Perceived control over life

missing

Raw value: no datamean 1-10
Year: no data
Normalized: no data
Source: Joint EVS/WVS (A173)
History: no data

Note: A perception: the publisher-weighted mean, on a 1 to 10 scale, of how much freedom of choice and control respondents feel they have over the way their life turns out, from the official Joint EVS/WVS 2017-2022 results table, release 5.0.0. It observes the felt capacity to act, not action. The table prints the mean to one decimal and no top-box share, so the row stores the mean and ties are common. Fieldwork years differ by up to six years: the 37 countries emitted were surveyed between 2017 (eight, the US among them) and 2023 (India), and every value is stamped with the release year 2022. Response style on 10-point scales differs across cultures, and a closed autocracy can read high: Vietnam and Nicaragua sit near the top of the frame. Countries with separate EVS and WVS samples (Germany, the United Kingdom, the Netherlands) are held, as for interpersonal trust. See D127 and A15.

Conditions, not scored

Individuals using the internetWorld Bank (IT.NET.USER.ZS), 2024
82.5 % of population, rank 65 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
87.6 % aged 15+, rank 40 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
16.4 % of GDP, rank 107 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

52.0 institutionalist@claude-opus-5-5, self-confidence 0.35
Move up. The others are right that registry data are pre-war, and Diia is an institution, not individual effort, that cuts transaction costs; I stay below B because martial law constrains action.
62.0 bottom_up@claude-opus-5-5, self-confidence 0.40
The registry data are pre-war. Volunteer supply, IT freelancing and Diia use show very high individual initiative since 2022, though I trim slightly for missing current rows.
56.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.35
Business density is from 2017 and misses wartime mobilisation. Diia and volunteer supply chains show people acting through state apps, which money did not buy.

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

retired, 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

retired, 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

retired, 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

retired, 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

missing

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.

direct capability measureMeasures the thing itself.
Budget execution fidelity
Distance between primary government expenditure and the original approved budget.
Measured in percentage points from approved budget; lower is better. Source: World Bank (GF.XPD.BUDG.ZS), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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observed

Raw value: 118.326percentage points from approved budget
Year: 2023. The rail runs from 1960 to 2026.
Normalized: direct capability measureMeasures the thing itself.
Budget execution fidelity
Distance between primary government expenditure and the original approved budget.
Measured in percentage points from approved budget; lower is better. Source: World Bank (GF.XPD.BUDG.ZS), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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Source: World Bank (GF.XPD.BUDG.ZS)
History

University-industry collaboration

no dataset exists, 1 record

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.

direct capability measureMeasures the thing itself.
Civil society strength
Autonomy, density and participatory reach of civil society organisations.
Measured in index 0-1; higher is better. Source: V-Dem (v2x_cspart), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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observed

Raw value: 0.726index 0-1
Year: 2025. The rail runs from 1960 to 2026.
Normalized: direct capability measureMeasures the thing itself.
Civil society strength
Autonomy, density and participatory reach of civil society organisations.
Measured in index 0-1; higher is better. Source: V-Dem (v2x_cspart), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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Source: V-Dem (v2x_cspart)
History: one year

Public-private collaboration

no 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), 2019
3.851 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

Ukrainelinked to Public-private collaborationstarted 2023still operating
Brave1 defence technology cluster
Ukraine's government set up the Brave1 cluster in 2023 under the Ministry of Digital Transformation. By September 2026 it had awarded more than 1,000 non-repayable grants worth UAH 6.2 billion to private defence-technology developers, whose products it tests with the armed forces and moves toward serial production.
6.2 UAH billion, defence technology development funded by brave1 since 2023, 2026-09. 1,000 grants (published as more than 1,000), grants awarded to ukrainian defence developers since 2023, 2026-09. Brave1 defence innovation cluster (state institution under the Ministry of Digital Transformation of Ukraine): news release, retrieved 2026-10-02.
How it worked: The Ministry of Digital Transformation, with the Ministry of Defence and the General Staff, set up a state cluster. It registers private developers, funds them through tiered grants, arranges battlefield testing and military feedback, and steers money toward priority areas the military defines.
Limits: The source is the cluster reporting on itself in a news release, with a minister's quote. Neither the 6.2 billion nor the grant count is broken down by year or audited. The figures measure money and grants going out, not what was delivered: they do not show how many funded products reached serial production or the front. The impact claims on the page, a 1.7-point gain in technology readiness and 79 percent of firms saying they had no alternative, come from a survey of defence-tech manufacturers in a study by the BRDO Office for Effective Regulation and are self-reported. Grants are one-way subsidies, so the record evidences public funding of private developers plus joint testing, which is a thin reading of joint delivery. The standard grant programme accounts for UAH 2.3 billion of the total; most of the rest, UAH 3.7 billion, went to 34 competition projects for missiles, air defence and autonomy, so the money is concentrated in a few large awards. Wartime urgency and secrecy limit what can be verified.
Ukrainelinked to University-industry collaborationstarted 2000dismantled
Technological parks under the 1999 special regime, and their collapse
Ukraine's technological parks, set up from 2000 under the 1999 law on a special regime of innovation activity to join research institutes and universities with industrial enterprises in state-registered projects, had 120 projects approved from 2000 to 2014 and raised the annual output of their innovative products from UAH 0.18 billion in 2001 to UAH 2.6 billion in 2007; after the state cut their benefits from 2005, project approvals were blocked from 2005 to 2010, no project was accepted after the 2010 Tax Code, and the parks' performance came to nothing by 2010 to 2014.
2,600,000,000 hryvnias, annual output of innovative products from technopark projects under the special regime, at the peak, 2007. 120 projects, technological park projects approved, cumulative, 2000-2014. Mazur, A.A. and Pustovoit, S.V., Paton Electric Welding Institute of the NAS of Ukraine, Social and economic efficiency of academic technoparks in Ukraine, Science and Innovation 12(3), 2016, pp. 59-69, table and text from Ministry of Education and Science departmental reporting, retrieved 2026-10-17.
How it worked: Parliament gave named technological parks, built mostly on academy research institutes, tax and customs relief on state-registered projects that took their research into production with industrial partners, and the relief was reinvested in the projects. The government withdrew the relief from 2005 and stopped approving projects, and output fell with it.
Limits: The figures are in a PDF and come from authors at the Paton Electric Welding Institute, whose own technopark is the largest in the table, so the account is written by a beneficiary arguing for the regime's return. The authors say the table rests on the Ministry of Education and Science's departmental reporting, which the ministry does not publish at an open URL. More than 98 percent of the parks' sales came from three parks built on National Academy of Sciences institutes, so the evidence is mostly about academy institutes working with enterprises, and much less about universities. Sales of innovative products measure the commercial output of registered projects, often made by enterprises tied to the institutes, and do not count joint research projects or the firms involved one by one. The peak and the 2001 value are read from the text; the annual series is drawn in a chart without printed values, so the 2010 to 2014 level is stated only in words ('came to nothing'). The law was not repealed: the source describes cut benefits and blocked project approvals, and some incentives were later restored, so the collapse is of the delivery, not of the legal form. The source ends in 2014 and does not show whether projects were registered after its publication.

Panel estimate, round 2, how this layer works

66.0 institutionalist@claude-opus-5-5, self-confidence 0.45
Move up. Prozorro and capable decentralised hromadas are durable institutions behind wartime coordination, which I underweighted; budget deviation is war spending.
72.0 bottom_up@claude-opus-5-5, self-confidence 0.50
Volunteer logistics, crowd-funded procurement, grid repair crews and capable hromadas coordinate thousands of independent actors. Prozorro adds transparent procurement.
70.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.40
Civil society participation is high and wartime coordination across volunteers, local government, firms and army is observed. Budget deviation is large but wartime; Prozorro adds transparent procurement.

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

retired, 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

retired, 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

retired, 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

missing

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.

downstream outcomeMeasures a result that usually follows from the capability.
Bribery incidence
Firms asked for at least one bribe payment across six public transactions covering utilities, permits, licences and taxes.
Measured in % of firms; lower is better. Source: World Bank (IC.FRM.BRIB.ZS), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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observed

Raw value: 37.374% of firms
Year: 2019. The rail runs from 1960 to 2026.
Normalized: downstream outcomeMeasures a result that usually follows from the capability.
Bribery incidence
Firms asked for at least one bribe payment across six public transactions covering utilities, permits, licences and taxes.
Measured in % of firms; lower is better. Source: World Bank (IC.FRM.BRIB.ZS), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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Source: World Bank (IC.FRM.BRIB.ZS)
History

downstream outcomeMeasures a result that usually follows from the capability.
Government compliance with the courts
How often the government complies with important decisions of the ordinary and specialised courts that it disagrees with.
Measured in scale 0-4 (never to always); higher is better. Source: V-Dem (v2jucomp_osp), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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observed

Raw value: 1.243scale 0-4 (never to always)
Year: 2025. The rail runs from 1960 to 2026.
Normalized: downstream outcomeMeasures a result that usually follows from the capability.
Government compliance with the courts
How often the government complies with important decisions of the ordinary and specialised courts that it disagrees with.
Measured in scale 0-4 (never to always); higher is better. Source: V-Dem (v2jucomp_osp), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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Source: V-Dem (v2jucomp_osp)
History: one year

Intentional homicide rate

retired, 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.

Generalised interpersonal trust

missing

Raw value: no data% agreeing
Year: no data
Normalized: no data
Source: Joint EVS/WVS (A165)
History: no data

Note: Share answering that most people can be trusted in the official Joint EVS/WVS 2017-2022 results table, release 5.0.0. The adapter uses the publisher-weighted country results, emits only countries with one survey row, and holds countries with separate EVS and WVS samples until the respondent-level weights can be pooled reproducibly. See D57 and D64.

Trust in public institutions

no 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.

Cooperation beyond the in-group

missing

Raw value: no data% expressing trust
Year: no data
Normalized: no data
Source: Joint EVS/WVS (G007_34_B)
History: no data

Note: The distinction that makes this dimension worth measuring: whether trust reaches a person with no tie to the respondent. Generalised trust asks about "most people", which a respondent can fill with their own circle; this item names the stranger. China is the clearest case, high on most people and low on a person met for the first time. The value is the publisher-weighted share answering trust completely plus the share answering trust somewhat, the one sum of two printed columns the adapter stores, exact to about 0.1, over all respondents including don't know and no answer. EVS and WVS ask the same question on the same four-point scale; where one country has both samples, the WVS share is a median 2.2 points higher. Trust in people of another nationality (G007_36_B), which the row once also named, is left out because it reads attitudes to foreigners as much as trust. Fieldwork runs from 2017 to 2023 and every value carries the release year 2022. Germany, the United Kingdom and the Netherlands are held, as for interpersonal trust. See D140.

Court case clearance rate

no 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.

Panel estimate, round 2, how this layer works

35.0 institutionalist@claude-opus-5-5, self-confidence 0.40
Hold near my first score. NABU and the anti-corruption court are real, but the 2025 move to curb NABU shows fragility and courts weakly bind the state; wartime horizontal trust is not shown here.
42.0 bottom_up@claude-opus-5-5, self-confidence 0.35
Bribery data are from 2019 and courts weakly constrain the state, but wartime surveys report a sharp rise in horizontal trust. The 2025 attempt to curb NABU shows institutional fragility, so I trim slightly.
38.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.35
Firm bribery data are from 2019 and courts weakly constrain the state; the 2025 NABU episode showed fragility. Wartime horizontal trust rose but is unmeasured here.

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.

direct capability measureMeasures the thing itself.
Human Capital Index
Expected productivity of a child born today relative to full health and complete education.
Measured in index 0-1; higher is better. Source: World Bank (HD.HCI.OVRL), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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observed

Raw value: 0.631index 0-1
Year: 2020. The rail runs from 1960 to 2026.
Normalized: direct capability measureMeasures the thing itself.
Human Capital Index
Expected productivity of a child born today relative to full health and complete education.
Measured in index 0-1; higher is better. Source: World Bank (HD.HCI.OVRL), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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Source: World Bank (HD.HCI.OVRL)
History

direct capability measureMeasures the thing itself.
Firms offering formal training
Share of firms that provide formal training to permanent employees.
Measured in % of firms; higher is better. Source: World Bank (IC.FRM.TRNG.ZS), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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observed

Raw value: 24.309% of firms
Year: 2019. The rail runs from 1960 to 2026.
Normalized: direct capability measureMeasures the thing itself.
Firms offering formal training
Share of firms that provide formal training to permanent employees.
Measured in % of firms; higher is better. Source: World Bank (IC.FRM.TRNG.ZS), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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Source: World Bank (IC.FRM.TRNG.ZS)
History

Adult learning participation

no 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.

downstream outcomeMeasures a result that usually follows from the capability.
Research citation impact
Share of a country's articles and reviews that are in the top 10% most cited for their subfield and year, as a ratio to the same share across all country-affiliated works.
Measured in ratio to world average; higher is better. Source: OpenAlex (citation_normalized_percentile.is_in_top_10_percent), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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observed

Raw value: 0.422ratio to world average
Year: 2021. The rail runs from 1960 to 2026.
Normalized: downstream outcomeMeasures a result that usually follows from the capability.
Research citation impact
Share of a country's articles and reviews that are in the top 10% most cited for their subfield and year, as a ratio to the same share across all country-affiliated works.
Measured in ratio to world average; higher is better. Source: OpenAlex (citation_normalized_percentile.is_in_top_10_percent), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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Source: OpenAlex (citation_normalized_percentile.is_in_top_10_percent)
History: one year

Conditions, not scored

Tertiary enrolmentWorld Bank (SE.TER.ENRR), 2024
87.2 % gross, rank 14 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), 2021
5.1 % of GDP, rank 37 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), 2019
7 % of secondary, rank 85 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

Ukrainelinked to Adult learning participationstarted 1991still operating
State Employment Service vocational training
Ukraine's State Employment Service put 93,000 people through vocational training in 2025, 55,000 of them registered unemployed and 38,000 in its own vocational education centres, after 33,000 in 2023, the second full year of the war.
93,000 people, people who completed training through the state employment service in the year, 2025. 33,000 people, unemployed people in vocational training through the service in 2023, 2023. Government of Ukraine portal (kmu.gov.ua), State Employment Service results for 2025, 6 January 2026, retrieved 2026-10-17.
How it worked: The State Employment Service funds training for registered unemployed people through its own vocational education centres and contracted providers, and since 2023 also issues training vouchers that let adults choose a course and provider themselves.
Limits: Both figures are the service reporting on itself in government news items, rounded to the thousand, and not a statistical table; the 2023 figure comes from a separate item (https://www.kmu.gov.ua/news/derzhavna-sluzhba-zainiatosti-osnovni-zdobutky-2023-roku) and counts unemployed trainees only, while the 2025 figure counts all trainees, so the two are not strictly comparable. 93,000 people is about one percent of the working-age population the service can reach, far below the indicator's construct of all adult participation. The same service reported 93,000 trainees for 2020, before the full-scale invasion, so 2025 is a recovery to the pre-war level and not an expansion. The 88 percent employment rate after training is self-reported and has no comparison group. The service trains inside territory under government control, so the count does not cover occupied regions or the millions of Ukrainians abroad.

Panel estimate, round 2, how this layer works

42.0 institutionalist@claude-opus-5-5, self-confidence 0.40
Small move down. Human capital and IT skills are solid, but citation impact is low and war displaces students and scientists.
44.0 bottom_up@claude-opus-5-5, self-confidence 0.40
Human capital is solid and people acquired new skills fast under war, from drones to remote schooling. Citation impact is low and displacement costs are real.
38.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.40
Human capital is reasonable and citation impact low and old. Fast wartime skill acquisition on drones and electronics is real but unmeasured; I hold below panelists A and B.

Experimentation

How easily can new approaches be attempted, tested, abandoned, and improved?

-13.8 over 10 years, from 35.8 in 2016 to 22.0 on 3 indicators seen in both years.

-13.9 over 20 years, from 30.8 in 2006 to 16.9 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.

downstream outcomeMeasures a result that usually follows from the capability.
Resident patent applications
Patent applications filed by residents, per million people.
Measured in per million people; higher is better. Source: World Bank (IP.PAT.RESD), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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observed

Raw value: 969per million people
Year: 2024. The rail runs from 1960 to 2026.
Normalized: downstream outcomeMeasures a result that usually follows from the capability.
Resident patent applications
Patent applications filed by residents, per million people.
Measured in per million people; higher is better. Source: World Bank (IP.PAT.RESD), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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Source: World Bank (IP.PAT.RESD)
History

downstream outcomeMeasures a result that usually follows from the capability.
Resident trademark applications
Direct trademark applications by residents, per million people.
Measured in per million people; higher is better. Source: World Bank (IP.TMK.RSCT), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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observed

Raw value: 38101per million people
Year: 2024. The rail runs from 1960 to 2026.
Normalized: downstream outcomeMeasures a result that usually follows from the capability.
Resident trademark applications
Direct trademark applications by residents, per million people.
Measured in per million people; higher is better. Source: World Bank (IP.TMK.RSCT), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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Source: World Bank (IP.TMK.RSCT)
History

downstream outcomeMeasures a result that usually follows from the capability.
Resident industrial design applications
Industrial design applications filed by residents at their national office, per million people.
Measured in per million people; higher is better. Source: World Bank (IP.IDS.RSCT), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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observed

Raw value: 2527per million people
Year: 2024. The rail runs from 1960 to 2026.
Normalized: downstream outcomeMeasures a result that usually follows from the capability.
Resident industrial design applications
Industrial design applications filed by residents at their national office, per million people.
Measured in per million people; higher is better. Source: World Bank (IP.IDS.RSCT), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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Source: World Bank (IP.IDS.RSCT)
History

downstream outcomeMeasures a result that usually follows from the capability.
New public software repositories
Growth over one year in the public GitHub repositories located in the country, per million people.
Measured in per million people; higher is better. Source: GitHub Innovation Graph (data/repositories.csv), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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observed

Raw value: 451850per million people
Year: 2026. The rail runs from 1960 to 2026.
Normalized: downstream outcomeMeasures a result that usually follows from the capability.
New public software repositories
Growth over one year in the public GitHub repositories located in the country, per million people.
Measured in per million people; higher is better. Source: GitHub Innovation Graph (data/repositories.csv), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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Source: GitHub Innovation Graph (data/repositories.csv)
History: no data

Venture deals

no 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

missing

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

missing

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

no 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

no 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

retired, 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

Ukrainelinked to Firms through regulatory sandboxesstarted 2025still operating
Sandbox for AI and blockchain products, Ministry of Digital Transformation and Ukrainian Startup Fund
Ukraine's Ministry of Digital Transformation and the Ukrainian Startup Fund opened a sandbox for AI and blockchain products in 2025 and, in its first year, received more than 80 applications and admitted 15 companies to a first cohort that completed testing.
15 companies, companies admitted to the first cohort that completed testing, 2026-06-04. 80 applications, applications received in the first year (more than), 2026-06-04. Ministry of Digital Transformation of Ukraine, AI portal, news item 'One year of the AI and blockchain Sandbox' (4 June 2026), retrieved 2026-10-02.
How it worked: The digital ministry, with a state startup fund, invites AI and blockchain firms to submit products for an expert audit across law, technology and business, and feeds what it learns into drafting AI legislation aligned with the EU AI Act.
Limits: The ministry reports on its own programme in a news item, not a statistics page, and 80 is a floor ('more than 80'). The sandbox grants no statutory derogation that this check found: what participants receive is a free legal, technical and business audit by outside experts with recommendations, and the ministry's statement that firms test 'without fines or legal risks' is not backed by a legal instrument read today, so this is closer to an advisory sandbox than to a regime that relaxes rules, and it sits at the weak edge of the D152 construct. 'Completed testing' means completed the audit cycle; the ministry's page of 21 October 2025 names Artellence as the first company to finish it. Higher figures in the press (over 100 applications, 25 companies under review) were not found at an official publisher and are not used. The National Bank of Ukraine runs a statutory regulatory platform under the payment services and financial services laws, open only to firms it already licenses, but its page (promo.bank.gov.ua/sandbox) publishes no participant count, so the figure covers one programme and not every regulator.

Panel estimate, round 2, how this layer works

36.0 institutionalist@claude-opus-5-5, self-confidence 0.35
Move up. Brave1 is a state-run channel for testing, funding and abandoning defence technology, which is institutional experimentation; I hold below B because it is narrow to one sector.
48.0 bottom_up@claude-opus-5-5, self-confidence 0.35
Drone and electronic warfare iteration in small workshops and through Brave1 is among the fastest test-and-improve cycles anywhere. I trim slightly because the cycle is narrow to defence.
40.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.35
Repositories and design filings are above the median for income. Brave1 and workshop drone iteration is a very fast test-and-improve cycle that counts miss.

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.

downstream outcomeMeasures a result that usually follows from the capability.
Unemployment rate
Unemployed as a share of the labour force, modelled ILO estimate.
Measured in % of labour force; lower is better. Source: World Bank (SL.UEM.TOTL.ZS), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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observed

Raw value: 9.834% of labour force
Year: 2021. The rail runs from 1960 to 2026.
Normalized: downstream outcomeMeasures a result that usually follows from the capability.
Unemployment rate
Unemployed as a share of the labour force, modelled ILO estimate.
Measured in % of labour force; lower is better. Source: World Bank (SL.UEM.TOTL.ZS), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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Source: World Bank (SL.UEM.TOTL.ZS)
History

downstream outcomeMeasures a result that usually follows from the capability.
Long-term unemployment share
Unemployed for 12 months or more, as a share of total unemployment.
Measured in % of unemployed; lower is better. Source: ILOSTAT (DF_UNE_TUNE_SEX_AGE_DUR_NB), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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observed

Raw value: 25.1% of unemployed
Year: 2021. The rail runs from 1960 to 2026.
Normalized: downstream outcomeMeasures a result that usually follows from the capability.
Long-term unemployment share
Unemployed for 12 months or more, as a share of total unemployment.
Measured in % of unemployed; lower is better. Source: ILOSTAT (DF_UNE_TUNE_SEX_AGE_DUR_NB), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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Source: ILOSTAT (DF_UNE_TUNE_SEX_AGE_DUR_NB)
History: one year

direct capability measureMeasures the thing itself.
Export diversification
Concentration of the merchandise export basket across products: the normalised Herfindahl-Hirschman index over SITC Rev.3 3-digit lines, 0 when exports are spread evenly and 1 when one product is everything.
Measured in index 0-1, lower = more diversified; lower is better. Source: UNCTAD (US.ConcentDiversIndices), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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observed

Raw value: 0.188index 0-1, lower = more diversified
Year: 2025. The rail runs from 1960 to 2026.
Normalized: direct capability measureMeasures the thing itself.
Export diversification
Concentration of the merchandise export basket across products: the normalised Herfindahl-Hirschman index over SITC Rev.3 3-digit lines, 0 when exports are spread evenly and 1 when one product is everything.
Measured in index 0-1, lower = more diversified; lower is better. Source: UNCTAD (US.ConcentDiversIndices), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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Source: UNCTAD (US.ConcentDiversIndices)
History: one year

downstream outcomeMeasures a result that usually follows from the capability.
New export products
Share of the products a country did not export competitively in 2009-2011 that it exported competitively in 2022-2024.
Measured in % of products not exported competitively at the start; higher is better. Source: Harvard Growth Lab (hs92_country_product_year_4.csv (doi:10.7910/DVN/T4CHWJ)), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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observed

Raw value: 4.62% of products not exported competitively at the start
Year: 2024. The rail runs from 1960 to 2026.
Normalized: downstream outcomeMeasures a result that usually follows from the capability.
New export products
Share of the products a country did not export competitively in 2009-2011 that it exported competitively in 2022-2024.
Measured in % of products not exported competitively at the start; higher is better. Source: Harvard Growth Lab (hs92_country_product_year_4.csv (doi:10.7910/DVN/T4CHWJ)), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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Source: Harvard Growth Lab (hs92_country_product_year_4.csv (doi:10.7910/DVN/T4CHWJ))
History: one year

Disaster preparedness and recovery

no 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

no dataset exists, 1 record

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

Labour force participationWorld Bank (SL.TLF.ACTI.ZS), 2021
66.8 % aged 15+, rank 82 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
21.7 per 100 people, rank 59 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
10.1 % of output, rank 68 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

Ukrainelinked to Disaster preparedness and recoverystarted 2023still operating
eRecovery (єВідновлення) housing compensation programme
Ukraine's government, through the Ministry for Development and the Diia digital platform, paid war-damage housing compensation to 231,681 families totalling UAH 119.1 billion by 10 July 2026. Of these, more than 153,000 families received repair payments, and more than 74,000 received certificates to buy replacement housing for homes that were destroyed.
231,681 families, families that received erecovery compensation, cumulative, 2026-07-10. 119.1 UAH billion, total erecovery compensation paid, cumulative, 2026-07-10. Ministry for Development of Communities and Territories of Ukraine (Ministry for Recovery): eRecovery programme results, retrieved 2026-10-02.
How it worked: The Rada created a statutory right to compensation for war-damaged housing. The ministry and the Ministry of Digital Transformation then ran claims, damage inspection and payment through the Diia app and the state register of damaged property, paying repair grants to bank accounts and issuing purchase certificates for destroyed homes.
Limits: These are the ministry's own running totals, published as press releases and not as a statistical series, and nothing independent audits them. The page shows recovery for households whose claims were accepted, not the share of all damaged housing compensated. For destroyed homes, more than 161,000 applications produced certificates for about 74,000 families, and only about 33,000 had bought a home, so most of the destroyed-housing caseload is unresolved. The page ties the repair payments to the World Bank HOPE project and the own-plot rebuilding payments to the Council of Europe Development Bank HOME project, and does not say who funds the certificates for destroyed homes, so how much of the delivery rests on external money is not shown here. The record evidences recovery after a war shock and says nothing about preparedness before one. Amounts are nominal hryvnias. The figure is the ministry's results update of 10 July 2026.
Ukrainelinked to Institutional responsivenessstarted 2022delivered and closed
eSupport one-off 6,500 hryvnia payment to workers in combat regions, March 2022
After Russia's full-scale invasion on 24 February 2022, Ukraine's Cabinet allocated UAH 21,450 million for a one-off eSupport payment by Resolution 199 of 4 March 2022, opened applications in the Diia app on 8 March to insured employees and sole proprietors in regions with active fighting, paid the first 6,500 hryvnia transfers on 21 March, and by 27 March had paid 2.7 million people UAH 17.9 billion against 4 million applications.
2.7 million people, people paid the 6,500 hryvnia esupport payment, cumulative, 2022-03-27. 25 days, days from the invasion to the first esupport payments (24 february to 21 march 2022), 2022-03-21. Government of Ukraine portal (kmu.gov.ua), Ministry of Digital Transformation release 'Mintsyfry: maiemo 4 mln zaiavok na yePidtrymku', 27 March 2022 (Internet Archive copy of 31 March 2022), retrieved 2026-10-02.
How it worked: The Cabinet reused the existing eSupport payment rail, let insured workers in combat regions apply in the Diia app, checked them against social insurance records and paid a flat sum to their bank cards within four weeks of the invasion.
Limits: The 2.7 million and the UAH 17.9 billion are the Ministry of Digital Transformation's own running count on the Government portal, not an audited outturn; the final number of recipients is not on this page. The live page at kmu.gov.ua answered a captcha to a script on the day of retrieval, so the record cites the Internet Archive copy of 31 March 2022, which carries the same text. The release says the service opened on 8 March and was open to employees for whom the single social contribution was paid and to sole proprietors of all groups in 14 listed regions and Kyiv, so eligibility was by region, not by a test that the person's work had stopped. The 25 days is our count: the start date of payments comes from a second Government portal release of 22 March 2022 ('Pochalysia pershi vyplaty 6500 hrn yePidtrymky', kmu.gov.ua), which says payments began the day before and had reached almost 500,000 people, and the allocation and its date come from Cabinet Resolution 199 of 4 March 2022 on kmu.gov.ua. Speed was bought with eligibility checks that were later found loose: press reports from August 2022 cite tens of thousands of payments to ineligible people, a figure this record does not carry because no official page with it was opened. A one-off flat transfer to workers in listed regions is a fast payment, not a durable programme change, and it relied on a payment rail (the Diia app and the existing eSupport scheme) that already existed before the shock.

Panel estimate, round 2, how this layer works

74.0 institutionalist@claude-opus-5-5, self-confidence 0.45
Move up. Grid repair by Ukrenergo, export rerouting and firm relocation are system responses under the hardest shock in the frame.
80.0 bottom_up@claude-opus-5-5, self-confidence 0.50
Exports were rerouted through the Danube and the Black Sea corridor and firms relocated west under the hardest shock in the frame. The panel agrees this is strong.
82.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.50
Export rerouting after the Black Sea blockade, firm relocation westward and grid repair are strong, income-independent response to the hardest shock in the frame. I trim slightly because some of it is allied-funded.

Building

How capable is the country of turning plans and knowledge into functioning systems?

-5.3 over 10 years, from 19.1 in 2016 to 13.8 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.

downstream outcomeMeasures a result that usually follows from the capability.
Manufacturing value added
Manufacturing value added as a share of GDP.
Measured in % of GDP; higher is better. Source: World Bank (NV.IND.MANF.ZS), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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observed

Raw value: 8.319% of GDP
Year: 2025. The rail runs from 1960 to 2026.
Normalized: downstream outcomeMeasures a result that usually follows from the capability.
Manufacturing value added
Manufacturing value added as a share of GDP.
Measured in % of GDP; higher is better. Source: World Bank (NV.IND.MANF.ZS), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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Source: World Bank (NV.IND.MANF.ZS)
History

downstream outcomeMeasures a result that usually follows from the capability.
High-technology exports
High-technology exports as a share of manufactured exports.
Measured in % of manufactured exports; higher is better. Source: World Bank (TX.VAL.TECH.MF.ZS), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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observed

Raw value: 6.37% of manufactured exports
Year: 2024. The rail runs from 1960 to 2026.
Normalized: downstream outcomeMeasures a result that usually follows from the capability.
High-technology exports
High-technology exports as a share of manufactured exports.
Measured in % of manufactured exports; higher is better. Source: World Bank (TX.VAL.TECH.MF.ZS), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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Source: World Bank (TX.VAL.TECH.MF.ZS)
History

Logistics infrastructure quality

retired, 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.

direct capability measureMeasures the thing itself.
Electricity connection speed
Doing Business score for the days a business waits for a permanent electricity connection.
Measured in score 0-100; higher is better. Source: World Bank (IC.ELC.TIME.DFRN), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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observed

Raw value: 0score 0-100
Year: 2019. The rail runs from 1960 to 2026.
Normalized: direct capability measureMeasures the thing itself.
Electricity connection speed
Doing Business score for the days a business waits for a permanent electricity connection.
Measured in score 0-100; higher is better. Source: World Bank (IC.ELC.TIME.DFRN), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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Source: World Bank (IC.ELC.TIME.DFRN)
History

downstream outcomeMeasures a result that usually follows from the capability.
Economic fitness
Diversity and ubiquity-adjusted sophistication of the export basket.
Measured in index; higher is better. Source: World Bank (EF.EFM.UNIV.XD), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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observed

Raw value: 0.347index
Year: 2024. The rail runs from 1960 to 2026.
Normalized: downstream outcomeMeasures a result that usually follows from the capability.
Economic fitness
Diversity and ubiquity-adjusted sophistication of the export basket.
Measured in index; higher is better. Source: World Bank (EF.EFM.UNIV.XD), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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Source: World Bank (EF.EFM.UNIV.XD)
History

Large project delivery

no dataset exists, 1 record

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

no 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

Output per workerWorld Bank (SL.GDP.PCAP.EM.KD), 2021
40,308 constant 2021 PPP $, rank 70 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

Ukrainelinked to Large project deliverystarted 2016delivered and closed
Road Sector Development Project on the M-03 and M-12, and its cut scope
Ukraine's road agency Ukravtodor rehabilitated or upgraded 156.3 km of the M-03 Kyiv to Kharkiv and M-12 corridors under a US$560 million loan approved in November 2015, after slow progress led the government in 2017 to cancel US$222.2 million of the loan, dropping three M-03 bypasses and two long-term maintenance contracts, so the loan closed at US$337.8 million in September 2022, nine months after its original date.
337.8 million US dollars, loan amount after cancellation, fully disbursed, 2022-09-30. 560 million US dollars, original loan amount at approval, 2015-11-03. World Bank, Implementation Completion and Results Report, Ukraine Road Sector Development Project (P149322), November 2023, retrieved 2026-10-02.
How it worked: The national road agency delivered the widening of a corridor it had already been rebuilding with the same lender, and when bypasses stalled on land acquisition the government cancelled them rather than extend the loan.
Limits: The figures are the World Bank's, in a completion report on its own loan, and the loan amount is not the full cost of the works; no figure for the cost of the delivered roads against an appraisal estimate per km was used. The cancellation and its reasons (land acquisition not started at Poltava, community objections at Kopyly, a realignment at Chutove) are in paras. 23 and 26 to 27 (printed pages 10 to 12); the 156.3 km is in para. 41 (page 16); amounts and dates are on the datasheet (page 2). In 2019 disbursement was about 11 percent with over 60 percent of the period elapsed, and some lots were moved in from a parallel World Bank road project, so the delivered kilometres mix two programmes. Russia's invasion in February 2022 stopped the civil works under force majeure seven months before closing, so the final delay is not all the agency's. The record shows a scope cut, not a cost overrun, and says nothing about the separate Great Construction programme.

Panel estimate, round 2, how this layer works

36.0 institutionalist@claude-opus-5-5, self-confidence 0.35
Move up. The zero on electricity connection is a pre-war artefact and grid, rail and bridge repair show delivery, but manufacturing and fitness are weak.
42.0 bottom_up@claude-opus-5-5, self-confidence 0.35
The zero on electricity connection is a pre-war artefact. Fast repair of power, rail and bridges and scaled defence production show delivery, though industrial capacity was destroyed.
46.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.40
The zero electricity score is a pre-war artefact. Rapid grid, rail and bridge repair and scaled defence production show execution, though manufacturing and fitness are weak and external funding helps.

Shared Purpose

To what extent can people imagine themselves as participants in a common project?

No trend is shown because too few indicators have values at both ends. The rows below still show the available history.

Voice and accountability

retired, see notes

Raw value: no dataz-score -2.5 to 2.5
Year: no data
Normalized: no data
Source: World Bank (GOV_WGI_VA.EST)
History: no data

Note: Retired 2026-08-26. Artefact A5: it measures the democratic channel while Shared Purpose asks whether people can see themselves in a common project. Singapore scored 20.9 while being one of the most effective collective actors in the set. Volunteering and civic participation are the observable replacements and are declared gaps; voter turnout is published beside Shared Purpose as a check, because it reads the same democratic channel and compulsory voting (D129). See D23 and A5.

downstream outcomeMeasures a result that usually follows from the capability.
Tax revenue
Central government tax revenue as a share of GDP.
Measured in % of GDP; higher is better. Source: World Bank (GC.TAX.TOTL.GD.ZS), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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observed

Raw value: 21.018% of GDP
Year: 2024. The rail runs from 1960 to 2026.
Normalized: downstream outcomeMeasures a result that usually follows from the capability.
Tax revenue
Central government tax revenue as a share of GDP.
Measured in % of GDP; higher is better. Source: World Bank (GC.TAX.TOTL.GD.ZS), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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Source: World Bank (GC.TAX.TOTL.GD.ZS)
History

downstream outcomeMeasures a result that usually follows from the capability.
Income inequality
Gini index of disposable income.
Measured in Gini 0-100; lower is better. Source: World Bank (SI.POV.GINI), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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observed

Raw value: 25.6Gini 0-100
Year: 2020. The rail runs from 1960 to 2026.
Normalized: downstream outcomeMeasures a result that usually follows from the capability.
Income inequality
Gini index of disposable income.
Measured in Gini 0-100; lower is better. Source: World Bank (SI.POV.GINI), also in the indicator registry. Each flag is a country at its normalized position from 0 to 100, where higher always means better. The bar in the list below shows the same position.
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Source: World Bank (SI.POV.GINI)
History

Sense of national belonging

no dataset exists

Raw value: no data% expressing belonging
Year: no data
Normalized: no data
Source: Joint EVS/WVS (G006)
History: no data

Note: A declared gap again since 2026-10-02 (D151, which supersedes the retirement in D143). The project still wants to know whether people count themselves members of the community whose common project this capability asks about, so the row stays even though no series can fill it. The only cross-national item aimed at it, national pride (G006) in the Joint EVS/WVS, is not wired: pride is not belonging, and it fails the regime test of artefact A13, with electoral autocracies at 75 percent very proud against 47 in liberal democracies. ISSP 2023 asks about closeness to the country in 16 countries. Wireable on an item that reads the same in every regime class, or on a behaviour of belonging, for half the frame or more. High national pride must never be read as the capacity for collective action.

Volunteering

no dataset exists

Raw value: no data% of adults
Year: no data
Normalized: no data
Source: Gallup World Poll / CAF
History: no data

Note: CAF publishes country figures but the underlying Gallup microdata is proprietary, so it fails the inspectability rule.

Political polarisation

no dataset exists

Raw value: no dataindex 0-4
Year: no data
Normalized: no data
Source: V-Dem
History: no data

Note: V-Dem political polarization (v2cacamps) is published beside this dimension as a behavioral check and is not scored, because a regime with no organized opposition reads as calm (D121, A13). The gap stays open for a measure that can tell calm between competing camps from calm where no camp may compete. Pluralism is the target, so only hostile polarization should count against a country.

Civic participation

missing

Raw value: no data% mentioning
Year: no data
Normalized: no data
Source: Joint EVS/WVS (A080_01)
History: no data

Note: A reported behaviour: the publisher-weighted share of respondents mentioning membership of a humanitarian or charitable organisation, the membership item closest to acting for strangers, in the official Joint EVS/WVS 2017-2022 results table, release 5.0.0. Religious membership is left out because it reads religiosity, and a count of any membership is not published in the aggregate table. The two programmes ask differently: EVS shows a list and asks which the respondent belongs to, WVS reads each type aloud and asks about active or inactive membership, and the joint file counts both kinds of WVS member as mentioned. Where one country has both samples, the WVS share is higher in eight of ten, so part of the spread is question format. Membership is not activity. China reads 2.7% and Vietnam 9.4%, so state mass organisations do not inflate this item. Fieldwork runs from 2017 to 2023 and every value carries the release year 2022. Germany, the United Kingdom and the Netherlands are held, as for interpersonal trust. See D128 and A15.

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.

Political polarizationV-Dem (v2cacamps_osp), 2025
3.62 index 0-4, lower is better. Whether supporters of opposing political camps generally meet in a friendly or a hostile manner, rated by V-Dem country experts from 0, friendly, to 4, hostile.
The question counts hostility and leaves disagreement alone, which is what pluralism asks for. It is not scored because a low reading has two causes the number cannot tell apart. Where camps compete openly, a calm reading means people who disagree still meet as fellow citizens. Where no opposition may organize, it means there is no camp left to be hostile to. In 2025 the five closed autocracies in the frame average 2.18 and the liberal democracies 1.67, while electoral democracies and electoral autocracies sit near 2.8 and 3.3. Scored, the reading would have lifted the United Arab Emirates about 11 points on this capability for a uniformity the benchmark does not count as shared purpose. Income is not why it is left out: richer countries read only somewhat calmer, at about -0.41 against log GDP per capita.
Voter turnoutV-Dem (v2eltrnout), 2019
63.78 % of registered voters, higher is better. Share of registered voters who cast a vote in the latest national election up to 2025, according to official results, as coded by V-Dem from IDEA, IPU and IFES sources. Where executive and legislative elections fall on the same day, the executive turnout is coded.
Turnout is the one act in which a whole population takes part in a common decision, so it is the closest behavioral reading of shared purpose the benchmark has. It is not scored for three reasons the number cannot separate. It reads the democratic channel, which is why voice and accountability was retired from this capability (A5): a country with no competitive elections cannot score well for reasons unrelated to whether its people see themselves in a common project. Compulsory voting turns it into a reading of the law: Brazil enforces it, and the eight countries that enforce sanctions average 83 percent against 65 where voting is voluntary. And closed and electoral autocracies manage it: Vietnam reads 95.6, Rwanda 98.2 and Singapore 92.8, which is mobilization, not participation (A13). The year shown is the latest national election, because elections are coded only in the year they happen.

Panel estimate, round 2, how this layer works

74.0 institutionalist@claude-opus-5-5, self-confidence 0.45
Hold. Mass volunteering and crowd-funding across regions show a common project; suspended elections and the pressure on NABU keep me below C.
76.0 bottom_up@claude-opus-5-5, self-confidence 0.45
Mass donation and volunteering across regions and languages show a strong common project. Elections are suspended under martial law, which keeps me below the top.
78.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.40
Mass volunteering and sustained collective action since 2014 across regions and languages. Low inequality supports it; elections are suspended under martial law, so I trim from my round 1 score.

🇺🇦Ukraine

Government foresight capacity

Long-horizon research commitments

Time to start a business

Business entry efficiency

Adults doing digital tasks

Perceived control over life

Government effectiveness

Regulatory quality

Logistics performance

Border compliance time to export

Trade compliance efficiency

University-industry collaboration

Public-private collaboration

Rule of law

Control of corruption

Time to enforce a contract

Dispute resolution efficiency

Intentional homicide rate

Generalised interpersonal trust

Trust in public institutions

Cooperation beyond the in-group

Court case clearance rate

Adult learning participation

Venture deals

Early-stage entrepreneurial activity

Tolerance of entrepreneurial failure

Firms through regulatory sandboxes

University spinouts

Business share of R&D

Disaster preparedness and recovery

Institutional responsiveness

Logistics infrastructure quality

Large project delivery

Firm scale-up rate

Voice and accountability

Sense of national belonging

Volunteering

Political polarisation

Civic participation

Ukraine