downstream outcomeobserved
- Raw value
- 13409.42articles per million people
- Year
- 2023. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IP.JRN.ARTC.SC)
- History
Czechia
Strongest usable evidence: Learning, at 76.3. Trust needs more evidence: confidence is 0.29.
Raise, lowest first
No low-scoring dimension has usable evidence.
Measure before managing
| Dimension | Confidence | Score |
|---|---|---|
| Trust | 0.29 | 85.2 |
| Shared Purpose | 0.30 | 73.2 |
| Experimentation | 0.33 | 29.8 |
| Coordination | 0.39 | 80.2 |
| Agency | 0.41 | 48.5 |
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.
Anticipation67.3Confidence0.46usableHow capable is the country of identifying and preparing for emerging change?
Czechia
Read Czechia 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.
| Trust | 0.29 | 3 of 7 | 0.86 | no trend | 70.0 | -15.2 | |
| Coordination | 0.39 | 3 of 5 | 0.81 | no trend | no data | no estimate | |
| Learning | 0.55 | 3 of 4 | 0.81 | no trend | no data | no estimate | |
| Adaptability | 0.62 | 4 of 6 | 1.00 | no trend | no data | no estimate | |
| Shared Purpose | 0.30 | 2 of 6 | 0.96 | -1.9(2) | 58.0 | -15.2 | |
| Anticipation | 0.46 | 2 of 4 | 0.96 | +0.9(2) | 60.0 | -7.3 | |
| Building | 0.57 | 4 of 6 | 0.90 | -0.6(3) | no data | no estimate | |
| Agency | 0.41 | 3 of 5 | 0.72 | no trend | no data | no estimate | |
| Experimentation | 0.33 | 4 of 9 | 0.81 | -8.9(3) | no data | no estimate |
How to read this page
Each dimension has a score from 0 to 100. It shows where this country sits among all 125 countries in the comparison frame, not a percentage. Confidence sits beside the score. A dashed radar edge and hollow point mean the evidence is thin. The records below show each indicator, its raw value, year and source.
A panel estimate, when present, is a separate judgment about what the indicators miss. It does not change the score or confidence. The panel's provenance is shown beside the estimate.
- direct capability measuredirect capability measure Measures the thing itself.
- capability inputcapability input Measures something that supports the capability.
- downstream outcomedownstream outcome Measures a result that usually follows from the capability.
- perception proxyperception proxy Records what people or experts say, not what they did.
Confidence
- very thin0.00 to 0.25
The score rests on one or two indicators. Do not quote it on its own.
- thin0.25 to 0.45
A minority of indicators, or evidence old enough to have moved. Read with care.
- usable0.45 to 0.65
Enough evidence to compare countries, with known holes.
- good0.65 and above
Most indicators observed, recent, from official or intergovernmental sources.
A row marked no dataset exists is a gap: the benchmark wants data that nobody publishes. A retired row has a source this project chose not to use. Both reduce confidence. The glossary defines each term, and the limits page lists where these numbers are known to be wrong about the world.
Anticipation
How capable is the country of identifying and preparing for emerging change?
+0.9 over 10 years, from 66.4 in 2016 to 67.3 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.
direct capability measureobserved
- Raw value
- 87.01index 0-100
- Year
- 2024. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IQ.SPI.OVRL)
- History
Government foresight capacity
direct capability measureno dataset exists- Raw value
- no dataindex 0-100
- Year
- no data
- Normalized
- no data
- Source
- none
- History
- no data
Note: No comparable international dataset. OECD and UN work is descriptive, not scored. Envisioning would have to build this.
Long-horizon research commitments
direct capability measureno dataset exists- Raw value
- no data% of new grants
- Year
- no data
- Normalized
- no data
- Source
- none
- History
- no data
Note: Redefined 2026-10-02 (D152). The row asked for the share of R&D spending classed as basic research, which is the make-up of a spending stock, the construct D142 retired business R&D share for. OECD MSTI publishes that share for its members only, and UNESCO UIS no longer serves R&D by type of research (construct audit, 2026-10-02). The behaviour behind it is a funder committing to a horizon: a grant awarded for five years or more is a decision to wait for a result. Untried: no memo has triaged a grant register. National funders publish award lists one by one with their own durations, and commercial grant aggregators fail the inspectability rule. Wireable on a grant-level register with award and end dates, on one definition of a competitive public grant, for half the frame or more.
Conditions, not scored
What the country has to work with on this capability. The values are shown as the source published them and are not part of the score, the confidence or the trend. The rank counts the countries with a value, best first.
R&D expenditureWorld Bank (GB.XPD.RSDV.GD.ZS), 2023
1.8 % of GDP, rank 20 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), 2023
4,505 per million people, rank 24 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
79,336 per million people, rank 12 of 125. Servers using encryption in internet transactions, per million people.
A condition, not scored: a diffusion stock of digital adoption that money buys, not an act of anticipation (D122). Spans four orders of magnitude, so its rank is read on the published value and its correlations on the logged one.
Panel estimate, round 2, how this layer works
- 61.0 institutionalist@claude-opus-5-5, self-confidence 0.45
I hold near 62: the statistical office and the Czech Academy of Sciences are durable institutions, and panelist B's point on late reversal of Russian gas dependence is an anticipation failure I already priced in through fragmented strategic planning. One point off for that.
- 60.0 bottom_up@claude-opus-5-5, self-confidence 0.45
I hold 60: strong statistics and a durable research base, but fragmented centre-of-government strategy and late reversal of energy dependence. The panel spread is narrow and no argument moves me either way.
- 59.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.40
The panel agrees on weak foresight tied to budgets and the late reversal of gas dependence, which is evidence of reaction, not conversion. I move up one point from 58 for the Academy and statistical strength.
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 measureobserved
- Raw value
- 4.306per 1,000 aged 15-64
- Year
- 2024. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.BUS.NDNS.ZS)
- History
direct capability measureobserved
- Raw value
- 24.5days
- Year
- 2019. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.REG.DURS.MA.DY)
- History
direct capability measureobserved
- Raw value
- 9count
- Year
- 2019. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.REG.PROC.MA.NO)
- History
Adults doing digital tasks
direct capability measureno dataset exists- Raw value
- no data% of adults
- Year
- no data
- Normalized
- no data
- Source
- ITU / UNESCO UIS (SDG 4.4.1, ICT skills by type)
- History
- no data
Note: Redefined 2026-10-02 (D152). The row asked whether adults can perform standard digital tasks, which reads a skill level, the kind of stock D122 moved out of the scores with internet users. It now counts the act: a person who did the task. It is not the internet users condition beside it, which counts access. Candidate: ITU ICT skills by type (SDG 4.4.1) through the UNESCO UIS API, probed 2026-10-02. Sent a message with an attached file reaches 33 of the 53 countries then in the frame, 25 at 2018 or later, with no United States, India or China and most of Africa and Central America missing; two other task items reach 31 and 16. The items are self-reported and the task list has changed between rounds. Wireable on one task observed for half the frame or more at 2018 or later.
Perceived control over life
perception proxymissing- 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
What the country has to work with on this capability. The values are shown as the source published them and are not part of the score, the confidence or the trend. The rank counts the countries with a value, best first.
Individuals using the internetWorld Bank (IT.NET.USER.ZS), 2024
87.7 % of population, rank 52 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
92.3 % aged 15+, rank 28 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), 2024
48 % of GDP, rank 57 of 124. Domestic credit provided to the private sector by financial corporations.
A condition, not scored: financial depth is a stock of money available to actors, not what they do with it (D122). High values can also signal a credit bubble, so more is not always better.
Coordination
How effectively can independent actors organize around shared objectives?
No trend is shown because too few indicators have values at both ends. The rows below still show the available history.
Government effectiveness
perception proxyretired, see notes- Raw value
- no dataz-score -2.5 to 2.5
- Year
- no data
- Normalized
- no data
- Source
- World Bank (GOV_WGI_GE.EST)
- History
- no data
Note: Retired 2026-08-26. The WGI aggregate the opinions of experts and firms, and in this set the four WGI series correlate with each other between 0.93 and 0.98 while correlating with log GDP per capita at 0.91. That is one perception of national wealth counted in three dimensions. Cross-agency delivery records are the replacement and they are a declared gap. See D23 and A4.
Regulatory quality
perception proxyretired, see notes- Raw value
- no dataz-score -2.5 to 2.5
- Year
- no data
- Normalized
- no data
- Source
- World Bank (GOV_WGI_RQ.EST)
- History
- no data
Note: Retired 2026-08-26. Same measurement as government effectiveness, filed under a different name, correlating with it above 0.93. See D23 and A4.
Logistics performance
perception proxyretired, see notes- Raw value
- no dataindex 1-5
- Year
- no data
- Normalized
- no data
- Source
- World Bank (LP.LPI.OVRL.XQ)
- History
- no data
Note: Retired 2026-08-26. The LPI is a survey of international freight forwarders, so it records how a country looks to global logistics firms. A small country with a small port scores low whatever its state can organise, which is artefact A9. Container throughput and border time are observable and stay. See D23.
direct capability measureobserved
- Raw value
- 0hours
- Year
- 2019. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (TRD.ACRS.BRDR.EXPT.BRDR.COMP.HR.DB1619)
- History
direct capability measureobserved
- Raw value
- 117.357percentage points from approved budget
- Year
- 2022. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (GF.XPD.BUDG.ZS)
- History
University-industry collaboration
direct capability measureno dataset exists, 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 measureobserved
- Raw value
- 0.777index 0-1
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- V-Dem (v2x_cspart)
- History
- one year
Public-private collaboration
direct capability measureno dataset exists, 1 record- Raw value
- no dataindex 0-100
- Year
- no data
- Normalized
- no data
- Source
- none
- History
- no data
Note: No comparable dataset. PPP investment databases measure infrastructure finance, not collaboration capacity.
Behavioral check, not scored
Each number below is published beside the score and stays out of it. It is not in the frame, the average, the indicator count or the confidence.
Customs clearance time for exportsWorld Bank (IC.CUS.DURS.EX), 2025
2.389 days, lower is better. Average number of days to clear direct exports through customs, as reported by manufacturing firms that export directly, in the World Bank Enterprise Surveys.
Days a manufacturer that exports directly says its goods took to clear customs, from the World Bank Enterprise Surveys. It is the time the border took on firms' own shipments, current where the Doing Business border time this capability scores is frozen at 2019. It is not scored for two reasons. The number of firms behind each country's figure is published only in the survey microdata, and on a proxy from the published tables 37 of the 53 countries in the frame when it was checked clear 30 exporting firms; Mexico, the Philippines, Israel and nine others may not. And the question changed: surveys fielded from 2024 also ask how long release took across all border agencies, and drop an answer where customs alone took longer, so a country surveyed on both sides of the change can move severalfold with nothing at its border changing. India reads 17.3 days in 2022 and 2.5 in 2025, on more than 9,000 firms each time. No country in the frame has two surveys on the new questionnaire yet. Income is not why it is left out: it barely tracks log GDP per capita.
Evidence for missing indicators
Each record describes a case the indicators above cannot see. It does not affect the score or confidence because one case is not comparable across countries. A gap can become an indicator when a comparable series covers at least two countries.
Centra kompetence, the Technology Agency's competence centres programme 2012 to 2019
The Technology Agency of the Czech Republic funded 34 competence centres under its Centra kompetence programme from 2012, joining 334 participants, 115 research organisations, 118 SMEs and 101 large firms, against a planned 31 centres and 248 participants.
34 centres, projects (centres) supported, realised against the programme's planned 31 (table 2), 2015-06-30. 334 participants, supported participants in total (115 research organisations, 118 smes, 101 large enterprises), table 2, 2015-06-30. Technologická agentura České republiky (TA ČR), Průběžné hodnocení programu Centra kompetence (interim evaluation of the Competence Centres programme), retrieved 2026-10-02.
How it worked: The national technology agency funded long-term consortia of research organisations and firms, each at least one research organisation and several companies, to run shared applied research programmes with a minimum private share of costs.
Limits: The agency evaluated its own programme, and the figures sit in a 101-page PDF: Tables 1 and 2 on printed pages 23 to 24 (PDF page 25), with parameters updated to 30 June and 15 September 2015 from the agency's IS Patriot and the national R&D information system. The counts are of supported centres and participants at contract signature, not of active collaboration in a given year, and a participant is an organisation, so one university can count several times across centres. The evaluation itself says the main objective of developing cooperation between research organisations and firms proved 'nepříliš dostatečné' (not sufficiently met), with results showing it only in part, and that the reported 25.9 billion koruna of product sales is dominated by one centre and was not verified. Funding received by the centres in 2012 to 2014 was 1.53 billion koruna. The programme ran to 2019 and was followed by Národní centra kompetence; this record does not cover the successor.
D4 Příbram to Písek motorway, the first Czech transport PPP
The Czech Ministry of Transport procured the completion of the D4 motorway between Příbram and Písek as the country's first transport public-private partnership, and the concessionaire Via Salis opened 32 km of new motorway and 16 km of modernised sections on 17 December 2024 after 43 months of construction, as the ministry had announced in June 2021, with the state paying an availability payment until 2049.
32 km (plus 16 km modernised), new motorway built and opened under the ppp, 2024-12-17. 29.5 CZK billion, availability payment approved by the chamber of deputies, against the audit office's inflation-adjusted estimate of about czk 33.7 billion, 2023-12-11. Ministerstvo dopravy ČR, Dálnice D4 se otevřela řidičům, první dopravní PPP projekt zrychlí cestu na jih (press release, 17 December 2024), retrieved 2026-10-02.
How it worked: The ministry tendered a design, build, finance, operate and maintain concession for one motorway corridor, the concessionaire took over the existing sections in 2021 and built the gap, and the state pays monthly only once the road is open, with deductions when availability or quality falls short.
Limits: The opening, the kilometres and the 43 months are the ministry's own press release; the planned December 2024 opening is in the ministry's release of 9 June 2021 as listed on its D4 tag page, so on-time delivery is the ministry's claim checked against its own earlier announcement. The cost figures come from the Supreme Audit Office (NKÚ, audit 22/29, press release of 11 December 2023, https://www.nku.cz/cz/pro-media/tiskove-zpravy/nku-upozornuje:-vystavba-dalnice-d4-formou-projektu-ppp-mozna-pro-stat-nebude-tak-vyhodna--jak-se-predpoklada-id13640/), which warned that the value-for-money case rested mainly on the adviser's foreign experience because the ministry could not state its own maintenance costs for the 1,276 km of motorway it ran, and that with inflation the state's availability payment would be about CZK 4.2 billion above the CZK 29.5 billion approved. One project is not a programme: the record shows that the Czech state can close and deliver a PPP, not that it does so often. The concessionaire is French-owned (VINCI Highways and Meridiam), and the construction was done by VINCI's Czech subsidiary.
Trust
How much cooperation is possible beyond immediate personal networks?
No trend is shown because too few indicators have values at both ends. The rows below still show the available history.
Rule of law
perception proxyretired, see notes- Raw value
- no dataz-score -2.5 to 2.5
- Year
- no data
- Normalized
- no data
- Source
- World Bank (GOV_WGI_RL.EST)
- History
- no data
Note: Retired 2026-08-26. A WGI perception composite correlating with control of corruption above 0.95 and with log GDP per capita at 0.83. Court throughput and case clearance rates are the observable replacement and are a declared gap. See D23 and A4.
Control of corruption
perception proxyretired, see notes- Raw value
- no dataz-score -2.5 to 2.5
- Year
- no data
- Normalized
- no data
- Source
- World Bank (GOV_WGI_CC.EST)
- History
- no data
Note: Retired 2026-08-26. A WGI perception composite. It measures reputation for corruption, which is not the same thing as corruption, and it tracks income closely. Prosecution and audit records are the observable replacement and are a declared gap. See D23 and A4.
direct capability measureobserved
- Raw value
- 678days
- Year
- 2019. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (ENF.CONT.DURS.DY)
- History
downstream outcomeobserved
- Raw value
- 2.568% of firms
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.FRM.BRIB.ZS)
- History
downstream outcomeobserved
- Raw value
- 3.574scale 0-4 (never to always)
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- V-Dem (v2jucomp_osp)
- History
- one year
Intentional homicide rate
downstream outcomeretired, see notes- Raw value
- no dataper 100,000 people
- Year
- no data
- Normalized
- no data
- Source
- World Bank (VC.IHR.PSRC.P5)
- History
- no data
Note: Added 2026-08-26 by D23 as the observable replacement for two retired WGI perception composites, and retired 2026-08-27 by D44 when the diagnostic built in D42 measured what it was doing. It raised this dimension's correlation with log GDP per capita by 0.288, from 0.096 to 0.385, the largest single wealth contribution anywhere in the model. It was added to fix wealth contamination and it was the wealth contamination. The dataset is sound and the objection is to what it measures here: homicide is driven heavily by organised crime, a society can be physically safe while trusting very little, and across this country set the variation it carries is mostly income. Behavioural trust measures remain a gap.
Generalised interpersonal trust
perception proxymissing- 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
perception proxyno dataset exists- Raw value
- no data% expressing confidence
- Year
- no data
- Normalized
- no data
- Source
- OECD Trust Survey / WVS
- History
- no data
Note: The OECD survey covers members only. Mixing it with WVS items for India and South Africa would break comparability. The Joint EVS/WVS confidence battery (E069) reaches 37 countries from one release, and confidence in the courts (E069_17) is published beside Trust as a check under this id rather than scored: every item of the battery tested (courts, civil service, police, parliament and government) reads higher in the closed and electoral autocracies of the frame than in its democracies, which is deference as much as confidence (A13). The gap stays open for a measure that does not reward a court that cannot rule against the state. See D132.
Cooperation beyond the in-group
perception proxymissing- 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
downstream outcomeno dataset exists- Raw value
- no data% of incoming cases
- Year
- no data
- Normalized
- no data
- Source
- CEPEJ / OECD / national court statistics
- History
- no data
Note: Whether a court finishes what it starts, counted from case records rather than asked in a survey. D23 named it as the observable replacement for the two retired WGI composites and it has stayed unfilled since. CEPEJ publishes it for Council of Europe members and OECD for its own members, so no single publisher reaches this country set, and a harmonised series needs the project second source adapter. See D57.
Panel estimate, round 2, how this layer works
- 71.0 institutionalist@claude-opus-5-5, self-confidence 0.45
I hold near 72: courts that bind government and rare firm bribery are institutional conduct, not only an income outcome as panelist C argues. Slow contract enforcement and historically middling survey trust keep it well below the indicator score.
- 70.0 bottom_up@claude-opus-5-5, self-confidence 0.40
Courts bind the government and firm bribery is rare, while generalised and political trust surveys have historically been middling. Dense voluntary associations such as volunteer fire brigades show cooperation beyond kin, so I hold 70 against C's income-discount argument.
- 69.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.35
Low bribery and court compliance are conduct measures and carry real weight, and B's voluntary associations add a point. But they are also what a high-income EU state tends to show, and generalised trust is missing and historically low, so I stay below A.
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 measureobserved
- Raw value
- 0.752index 0-1
- Year
- 2020. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (HD.HCI.OVRL)
- History
direct capability measureobserved
- Raw value
- 73.866% of firms
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.FRM.TRNG.ZS)
- History
Adult learning participation
direct capability measureno dataset exists- 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 outcomeobserved
- Raw value
- 1.272ratio to world average
- Year
- 2021. The rail runs from 1960 to 2026.
- Normalized
- Source
- OpenAlex (citation_normalized_percentile.is_in_top_10_percent)
- History
- one year
Conditions, not scored
What the country has to work with on this capability. The values are shown as the source published them and are not part of the score, the confidence or the trend. The rank counts the countries with a value, best first.
Tertiary enrolmentWorld Bank (SE.TER.ENRR), 2023
66.7 % gross, rank 46 of 124. Gross enrolment ratio in tertiary education.
A condition, not scored: enrolment counts people in formal education and records nothing learned (D122).
Public education expenditureWorld Bank (SE.XPD.TOTL.GD.ZS), 2022
4.3 % of GDP, rank 57 of 125. Government expenditure on education as a share of GDP.
A condition, not scored: public spending on education is a pure input, and learning is what the dimension asks about (D122).
Vocational share of secondaryWorld Bank (SE.SEC.ENRL.VO.ZS), 2018
35.5 % of secondary, rank 9 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.
Experimentation
How easily can new approaches be attempted, tested, abandoned, and improved?
-8.9 over 10 years, from 36.9 in 2016 to 28.0 on 3 indicators seen in both years.
-19.0 over 20 years, from 47.0 in 2006 to 28.0 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 outcomeobserved
- Raw value
- 541per million people
- Year
- 2021. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IP.PAT.RESD)
- History
downstream outcomeobserved
- Raw value
- 22855per million people
- Year
- 2021. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IP.TMK.RSCT)
- History
downstream outcomeobserved
- Raw value
- 522per million people
- Year
- 2021. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IP.IDS.RSCT)
- History
downstream outcomeobserved
- Raw value
- 218326per million people
- Year
- 2026. The rail runs from 1960 to 2026.
- Normalized
- Source
- GitHub Innovation Graph (data/repositories.csv)
- History
- no data
Venture deals
direct capability measureno dataset exists- Raw value
- no dataper million people
- Year
- no data
- Normalized
- no data
- Source
- OECD / national VC associations
- History
- no data
Note: Redefined 2026-10-02 (D152). The id keeps its first name so evidence records, links and published files still resolve. The row asked for venture capital deployed as a share of GDP, a level of financial depth of the kind private credit is (D122). A count of first rounds counts attempts started with outside risk money, which is what this capability asks about, and a large round counts once. Candidates, none wireable: the OECD SME and Entrepreneurship Financing scoreboard carried venture capital for 6 of the 16 countries the frame held on 2026-08-26, as amounts in national currency, latest year 2022, with Brazil, India, South Africa and Singapore absent (D21); national venture capital associations publish counts on their own definitions; commercial deal databases cover the world and are not inspectable (D10). Wireable on an inspectable deal count with one definition of a first round for half the frame or more. Read A1 before treating this dimension as measured.
Early-stage entrepreneurial activity
direct capability measuremissing- Raw value
- no data% aged 18-64
- Year
- no data
- Normalized
- no data
- Source
- Global Entrepreneurship Monitor (APS key indicators, TEA rate)
- History
- no data
Note: From the GEM Adult Population Survey, entered by hand because GEM has no open API. TEA counts every new business, so necessity self-employment scores the same as a funded startup, which is why Chile and Argentina sit above the United States here. Read it as how many people are trying, not as how much value the attempts create. GEM does not run every economy every year: Singapore last took part in 2014 and the recency term marks that value down hard.
Tolerance of entrepreneurial failure
perception proxymissing- Raw value
- no data% not deterred
- Year
- no data
- Normalized
- no data
- Source
- Global Entrepreneurship Monitor (APS key indicators, fear of failure rate)
- History
- no data
Note: Stored as 100 minus the published GEM fear of failure rate, so the direction matches the rest of the registry. GEM measures that rate among adults who already see good opportunities, not among all adults, so the denominator differs from the label. Attitudinal: bankruptcy law and time to discharge would be the observable substitute and are still worth wiring beside it.
Firms through regulatory sandboxes
direct capability measureno dataset exists- Raw value
- no datafirms per million people
- Year
- no data
- Normalized
- no data
- Source
- national regulators
- History
- no data
Note: Redefined 2026-10-02 (D152). The row asked for the number and breadth of live sandboxes, which is a policy stock: a regime can exist with nobody in it. It now counts what passes through: firms a regulator let test under relaxed rules, and firms that came out, authorised, withdrawn or failed. Regulators publish cohort lists and exit reports one by one. The evidence corpus holds 22 records against this row, most of them counts of firms admitted or exited, each on the definition and window of its own regulator, and no register assembles them on one definition (O1 triage sweep, 2026-10-01). A realistic candidate for Envisioning to build from those lists. Wireable on a register that counts admissions and completions on one definition for half the frame or more.
University spinouts
direct capability measureno dataset exists- Raw value
- no dataper million people
- Year
- no data
- Normalized
- no data
- Source
- national TTO associations
- History
- no data
Note: Reported nationally with incompatible definitions of what counts as a spinout.
Business share of R&D
capability inputretired, see notes- Raw value
- no data% of R&D
- Year
- no data
- Normalized
- no data
- Source
- OECD MSTI / RICYT
- History
- no data
Note: Retired 2026-10-02. The only working source, OECD MSTI joined with RICYT for Latin America, covers 34 of the 53 countries then in the frame, but the row reads the make-up of a spending stock: who performs the R&D a country pays for. R&D spending itself is a condition since D122, and the share is high both where business research is large (Israel) and where total research is tiny and one firm dominates it (Thailand). State enterprises count as business, so China and Vietnam read their ownership model. UIS stopped publishing the series in 2023. Firms trying new things are read through patents, trademarks, designs and entrepreneurship instead. See D142.
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 outcomeobserved
- Raw value
- 2.825% of labour force
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (SL.UEM.TOTL.ZS)
- History
downstream outcomeobserved
- Raw value
- 30% of unemployed
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- ILOSTAT (DF_UNE_TUNE_SEX_AGE_DUR_NB)
- History
- one year
direct capability measureobserved
- Raw value
- 0.141index 0-1, lower = more diversified
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- UNCTAD (US.ConcentDiversIndices)
- History
- one year
downstream outcomeobserved
- Raw value
- 4.33% of products not exported competitively at the start
- Year
- 2024. The rail runs from 1960 to 2026.
- Normalized
- Source
- Harvard Growth Lab (hs92_country_product_year_4.csv (doi:10.7910/DVN/T4CHWJ))
- History
- one year
Disaster preparedness and recovery
direct capability measureno dataset exists- Raw value
- no dataindex 0-100
- Year
- no data
- Normalized
- no data
- Source
- INFORM / UNDRR
- History
- no data
Note: No source observes a country preparing for or recovering from a real shock. INFORM publishes its lack of coping capacity apart from hazard and exposure, but that dimension averages government self-assessments and governance perception indices with stocks such as roads, phones and physicians, which is the perception layer D23 retired plus conditions money buys (D122). Sendai and WHO reporting are governments grading themselves. A warning-reach survey item is a check candidate. See the disaster preparedness memo.
Institutional responsiveness
direct capability measureno dataset exists, 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
What the country has to work with on this capability. The values are shown as the source published them and are not part of the score, the confidence or the trend. The rank counts the countries with a value, best first.
Labour force participationWorld Bank (SL.TLF.ACTI.ZS), 2025
77.5 % aged 15+, rank 28 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
38.9 per 100 people, rank 17 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
4.3 % of output, rank 12 of 117. Power lost in transmission and distribution, including unbilled use.
A condition, not scored: the state of the grid, and whether its operator can bill what it delivers, is infrastructure a country has to change with, not a record of it changing (D141). Read it beside broadband, the other installed network beside Adaptability.
Informal employmentILOSTAT (DF_SDG_0831_SEX_ECO_RT), 2025
3.3 % of employment, rank 11 of 102. Informal employment as a share of total employment, SDG indicator 8.3.1.
A condition, not scored: how much work carries no contract, registration or social protection describes the labor market a country reallocates through, not it reallocating (D150). Read it beside the unemployment rate: where most work is informal, a person who loses a job takes any work within weeks, so a low rate is not a fluid market. Its direction for Adaptability cannot be defended, since informal work is both the slack that absorbs a shock and the precarity that keeps a worker from moving up, so the rank orders values and is not a verdict. Comparability is weak: the European values come from an income survey (EU-SILC) with a proxy definition, and the rest from labor force or household surveys processed by the ILO. ILOSTAT has no value for the United States, Canada, Australia, Japan, Singapore, Israel, Malaysia, China, the Philippines or Cuba, and some values are old (Haiti and Nicaragua 2012).
Evidence for missing indicators
Each record describes a case the indicators above cannot see. It does not affect the score or confidence because one case is not comparable across countries. A gap can become an indicator when a comparable series covers at least two countries.
Antivirus job retention programme, 2020 to 2022
The Czech government approved the Antivirus employment support programme on 31 March 2020, with costs eligible from 12 March, and the Labour Office paid CZK 51.2 billion through it from 2020 to 2022 to almost 71,000 employers for 1.2 million employees.
51.2 CZK billion, antivirus contributions paid, 2020 to 2022, 2022. 19 days, days from the start of eligible costs (12 march 2020) to the government resolution approving the programme (31 march 2020), 2020-03-31. Nejvyšší kontrolní úrad (NKÚ), Kontrolní závěr z kontrolní akce 22/28 and press release of 4 December 2023, retrieved 2026-10-02.
How it worked: The government used an existing power in the Employment Act to declare a targeted programme by resolution, so the Labour Office could reimburse employers for wage compensation paid to workers in quarantine or kept idle, backdated to the start of the emergency.
Limits: The figures are in the audit office's PDF (CZK 51.2 billion and 70,971 employers in the summary table on PDF page 2; the government resolution No. 353 of 31 March 2020 and the eligibility period from 12 March 2020 in Table 1 on PDF page 7) and in its press release of 4 December 2023 (https://www.nku.cz/cz/pro-media/tiskove-zpravy/miliardy-na-udrzeni-pracovnich-mist-v-dobe-covidu-19-dostaly-od-statu-i-firmy--kterym-rostl-zisk-a-pocet-zamestnancu-id13610/), which gives almost 71,000 firms and 1.2 million employees. The audit office's verdict is negative: part of the money was spent ineffectively, CZK 9.8 billion went to industries where output did not fall, the A Plus regime paid 100 percent of wage compensation against the principle of cost sharing used elsewhere in the EU (CZK 4.4 billion could have been saved), ten of 31 audited firms drew CZK 1.9 billion while paying dividends, and the ministry and Labour Office did not monitor or evaluate the programme's effects. The 19 days from the eligibility date to the government decision are our arithmetic and are the second metric; the 1.2 million employees covered are in the press release only; the record does not show when the first payments arrived. The rule change was speedy; whether it was well targeted is what the audit disputes.
Building
How capable is the country of turning plans and knowledge into functioning systems?
-0.6 over 10 years, from 44.5 in 2016 to 43.9 on 3 indicators seen in both years.
Trends use fewer indicators than the current score and use today's frame. A longer span reaches further back.
downstream outcomeobserved
- Raw value
- 19.422% of GDP
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (NV.IND.MANF.ZS)
- History
downstream outcomeobserved
- Raw value
- 22.405% of manufactured exports
- Year
- 2024. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (TX.VAL.TECH.MF.ZS)
- History
Logistics infrastructure quality
perception proxyretired, see notes- Raw value
- no dataindex 1-5
- Year
- no data
- Normalized
- no data
- Source
- World Bank (LP.LPI.INFR.XQ)
- History
- no data
Note: Retired 2026-08-26. An LPI sub-index, so the same freight-forwarder survey as logistics performance and the same problem. Electricity connection speed stays as the observable infrastructure measure in this dimension. See D23.
direct capability measureobserved
- Raw value
- 82.609score 0-100
- Year
- 2019. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.ELC.TIME.DFRN)
- History
downstream outcomeobserved
- Raw value
- 1.415index
- Year
- 2024. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (EF.EFM.UNIV.XD)
- History
Large project delivery
direct capability measureno dataset exists, 2 records- Raw value
- no data% overrun
- Year
- no data
- Normalized
- no data
- Source
- none
- History
- no data
Note: The single best measure of execution capability and there is no comparable international dataset. Assembling one is a defensible Envisioning project. Building mixes industrial output with state delivery capacity, and this indicator carries the delivery side: the other six indicators cannot see a national programme that was delivered. Documented deliveries are recorded in data/evidence and never scored, see D20.
Firm scale-up rate
direct capability measureno dataset exists- Raw value
- no data% of firms
- Year
- no data
- Normalized
- no data
- Source
- OECD DynEmp
- History
- no data
Note: OECD business dynamics work covers members irregularly. Nothing comparable for India, Brazil or South Africa.
Conditions, not scored
What the country has to work with on this capability. The values are shown as the source published them and are not part of the score, the confidence or the trend. The rank counts the countries with a value, best first.
Output per workerWorld Bank (SL.GDP.PCAP.EM.KD), 2025
98,998 constant 2021 PPP $, rank 25 of 123. GDP per person employed, constant purchasing power parity.
A condition, not scored: output per worker is income per worker, the wealth the benchmark tests capability against, so it is published beside Building as context (D122).
Evidence for missing indicators
Each record describes a case the indicators above cannot see. It does not affect the score or confidence because one case is not comparable across countries. A gap can become an indicator when a comparable series covers at least two countries.
Motorway construction by the Road and Motorway Directorate, and its unit cost
The Czech Supreme Audit Office reported in June 2026 that 41 motorway sections totalling more than 300 km were opened to traffic between 2020 and 2024, after years with almost none (no kilometre in 2014, four in 2018), but that the average cost the state paid per kilometre of motorway opened rose from nearly CZK 275 million in 2020 to CZK 505 million in 2024, an increase of nearly 84 percent.
505 million Czech koruna per km, average cost to the state per kilometre of motorway opened, 2024. 275 million Czech koruna per km, average cost to the state per kilometre of motorway opened (nearly), 2020. Nejvyšší kontrolní úřad (Supreme Audit Office of the Czech Republic), press release on the comprehensive report on the state's investment policy 2020 to 2025 from the perspective of audits of transport infrastructure, 8 June 2026, retrieved 2026-10-02.
How it worked: The transport ministry and its Road and Motorway Directorate prepare motorway sections through long zoning and permitting processes and then build many of them in a short window financed by the State Fund for Transport Infrastructure and EU funds, paying whatever the market price is when the sections finally reach construction.
Limits: The source is the audit office's English press release; the comprehensive report it summarises, based on 13 audits completed from 2020 to 2025, was not opened. Cost per kilometre opened is an average over whatever sections happened to open in each year, so it mixes simple and complex sections (tunnels, bridges, terrain) and nominal prices across a period of high construction inflation; the office says the rise 'cannot be attributed solely' to inflation or complexity, which is a judgement, not a decomposition, and no baseline against outturn is given for any single section. The 2020 figure is stated as 'nearly' 275 million. The same release gives project-level findings that support the schedule side: preparation of the D4 section took the Ministry of Transport and the Road and Motorway Directorate 21 years and was delivered as a PPP whose payments run to 2049, and the directorate had not completed the modernisation of 20 sections of the D1 for CZK 28 billion after 10 years. The record shows delivery volume rising and unit cost rising together; it does not show whether the 2020 to 2024 output was on its planned schedule. The started year is the first year of the audit office's comparison, not the start of the motorway programme.
Modernizace dálnice D1 (D1 motorway modernisation, Mirošovice to Kývalka)
Czechia's Road and Motorway Directorate (ŘSD) rebuilt 160.8 km of the D1 motorway between Mirošovice and Kývalka in 20 sections from April 2013, reopening the last sections in October 2021, three years later than the 2012 schedule, with costs projected at CZK 29.844 billion including the Šmejkalka bridge against CZK 28.208 billion planned.
3 years, slip in reopening the whole modernised motorway, measured against the 2012 schedule, August 2021 schedule update, audited to November 2022. 29.844 CZK billion, including VAT, nominal, projected total cost including the šmejkalka bridge, against czk 28.208 billion in the 2012 investment plan, 31 May 2022. Nejvyšší kontrolní úřad (Supreme Audit Office of the Czech Republic), audit conclusion 21/37 on the D1 motorway modernisation, retrieved 2026-10-02.
How it worked: The Road and Motorway Directorate rebuilt the country's main Prague to Brno motorway section by section with traffic still running. The Ministry of Transport approved 20 separate section projects instead of one programme budget, and EU cohesion funds paid CZK 14.0 billion of the cost.
Limits: The cost figure looks good only because of the baseline it is compared with. The 2012 plan of CZK 28.208 billion was never approved: the audit office says the Ministry of Transport rejected the summary investment plan and approved 20 separate section projects, with no binding overall budget or schedule. The roughly 6 percent overrun is our computation from two published totals, in nominal crowns, with no inflation adjustment. The final cost is unknown. The audit office says the figure is not final, several sections had not been financially settled, and the Šmejkalka bridge cost is a forecast for work planned from 2022 to 2026. Against an earlier baseline the project looks worse. The audit office's 2017 release (audit 16/06) gave the expected total as CZK 20.5 billion and found unit costs up 73 percent, from CZK 74 to 128 million per km, between the 2013 sections and those begun in 2015 and 2016. The three-year slip is measured to the August 2021 schedule, which ŘSD revised 73 times. In November 2022 eight sections still lacked final approval, and nine bridges and three overpasses were in poor or very poor condition. The audit says the modernisation is not complete, so a later finish date would lengthen the slip. This is a rebuild of an existing motorway kept open to traffic, not a new build. The audit looked closely at only five sections, worth CZK 6.792 billion, and a cyber attack on ŘSD's systems limited what auditors could see. The figures are ŘSD's own, reviewed by the auditor, not independently measured.