- Raw value
- 5332.18articles per million people
- Year
- 2023. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IP.JRN.ARTC.SC)
- History
Slovakia
Strongest usable evidence: Coordination, at 63.2. Raise Building first, at 36.3. Shared Purpose needs more evidence: confidence is 0.30.
Raise, lowest first
| Dimension | Confidence | Score |
|---|---|---|
| Building | 0.57 | 36.3 |
Measure before managing
| Dimension | Confidence | Score |
|---|---|---|
| Shared Purpose | 0.30 | 75.5 |
| Trust | 0.33 | 82.0 |
| Experimentation | 0.41 | 24.1 |
These lists are the country's capability agenda, computed from the scores. Read the full agenda. It names comparable evidence from other countries and the 18 gaps in the registry.
Why this country is included: Added in the 9.0.0 completion, which takes every country of a million people or more that is measurable in all nine capabilities.
Read Slovakia 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 | 0.33 | 3 of 7 | 0.97 | no trend | 58.0 | -24.0 | |
| Shared Purpose | 0.30 | 2 of 6 | 0.96 | +3.6(2) | 52.0 | -23.5 | |
| Coordination | 0.45 | 3 of 5 | 0.94 | no trend | 52.0 | -11.2 | |
| Agency | 0.49 | 3 of 5 | 0.86 | no trend | 55.0 | -5.7 | |
| Anticipation | 0.46 | 2 of 4 | 0.96 | +1.1(2) | 53.0 | -6.1 | |
| Learning | 0.54 | 3 of 4 | 0.78 | no trend | 55.0 | -2.9 | |
| Adaptability | 0.62 | 4 of 6 | 1.00 | no trend | 52.0 | -5.8 | |
| Building | 0.57 | 4 of 6 | 0.90 | -1.4(3) | 44.0 | +7.7 | |
| Experimentation | 0.41 | 4 of 9 | 1.00 | -0.9(3) | 25.0 | +0.9 |
How to read this page
Each dimension has a score from 0 to 100. It shows where this country sits among all 125 countries in the comparison frame, not a percentage. Confidence sits beside the score. A dashed radar edge and hollow point mean the evidence is thin. The records below show each indicator, its raw value, year and source.
A panel estimate, when present, is a separate judgment about what the indicators miss. It does not change the score or confidence. The panel's provenance is shown beside the estimate.
- direct capability measuredirect capability measure Measures the thing itself.
- capability inputcapability input Measures something that supports the capability.
- downstream outcomedownstream outcome Measures a result that usually follows from the capability.
- perception proxyperception proxy Records what people or experts say, not what they did.
Confidence
- very thin0.00 to 0.25
The score rests on one or two indicators. Do not quote it on its own.
- thin0.25 to 0.45
A minority of indicators, or evidence old enough to have moved. Read with care.
- usable0.45 to 0.65
Enough evidence to compare countries, with known holes.
- good0.65 and above
Most indicators observed, recent, from official or intergovernmental sources.
A row marked no dataset exists is a gap: the benchmark wants data that nobody publishes. A retired row has a source this project chose not to use. Both reduce confidence. The glossary defines each term, and the limits page lists where these numbers are known to be wrong about the world.
Anticipation
How capable is the country of identifying and preparing for emerging change?
+1.1 over 10 years, from 58.0 in 2016 to 59.1 on 2 indicators seen in both years.
Trends use fewer indicators than the current score and use today's frame. A longer span reaches further back.
- Raw value
- 83.251index 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 % of GDP, rank 36 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
3,507 per million people, rank 29 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
43,287 per million people, rank 21 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
- 52.0 institutionalist@claude-opus-5-5, self-confidence 0.50
Good statistics and a moderate research base, but weak strategic planning and frequent government turnover limit institutional foresight. I hold.
- 54.0 bottom_up@claude-opus-5-5, self-confidence 0.45
Statistics are good and research moderate. Planning is short-cycle and changes with each government.
- 53.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.45
Strong statistics and moderate science; planning is short-cycle and changes with each government. Foresight practice is unrecorded.
Agency
How able are individuals and organizations to turn an intention into action?
No trend is shown because too few indicators have values at both ends. The rows below still show the available history.
- Raw value
- 5.681per 1,000 aged 15-64
- Year
- 2024. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.BUS.NDNS.ZS)
- History
Time to start a business
direct capability measureretired, see notes- Raw value
- no datadays
- Year
- no data
- Normalized
- no data
- Source
- World Bank (IC.REG.DURS.MA.DY)
- History
- no data
Note: Retired 2026-10-17 (D167). Doing Business stopped in 2019 and the World Bank archived the code. Its successor, B-READY, publishes the time and cost to register a firm as a score, and business entry efficiency carries that construct. See D23.
- Raw value
- 86.124score 0-100
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.BRE.BE.P3)
- History
- one year
- Raw value
- 7count
- 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
89.8 % of population, rank 40 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
92.2 % aged 15+, rank 29 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
59.7 % of GDP, rank 42 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
- 55.0 institutionalist@claude-opus-5-5, self-confidence 0.50
Entry is efficient and business density is moderate, and widespread trade licences support independent action. The indicators read about right.
- 56.0 bottom_up@claude-opus-5-5, self-confidence 0.45
I hold 56. Entry is efficient and the widespread zivnost self-employment regime supports independent action beyond the density row.
- 54.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.40
Efficient entry and moderate density, with widespread self-employment. Perceived control is missing. Indicators read about right.
Coordination
How effectively can independent actors organize around shared objectives?
No trend is shown because too few indicators have values at both ends. The rows below still show the available history.
Government effectiveness
perception proxyretired, see notes- Raw value
- no dataz-score -2.5 to 2.5
- Year
- no data
- Normalized
- no data
- Source
- World Bank (GOV_WGI_GE.EST)
- History
- no data
Note: Retired 2026-08-26. The WGI aggregate the opinions of experts and firms, and in this set the four WGI series correlate with each other between 0.93 and 0.98 while correlating with log GDP per capita at 0.91. That is one perception of national wealth counted in three dimensions. Cross-agency delivery records are the replacement and they are a declared gap. See D23 and A4.
Regulatory quality
perception proxyretired, see notes- Raw value
- no dataz-score -2.5 to 2.5
- Year
- no data
- Normalized
- no data
- Source
- World Bank (GOV_WGI_RQ.EST)
- History
- no data
Note: Retired 2026-08-26. Same measurement as government effectiveness, filed under a different name, correlating with it above 0.93. See D23 and A4.
Logistics performance
perception proxyretired, see notes- Raw value
- no dataindex 1-5
- Year
- no data
- Normalized
- no data
- Source
- World Bank (LP.LPI.OVRL.XQ)
- History
- no data
Note: Retired 2026-08-26. The LPI is a survey of international freight forwarders, so it records how a country looks to global logistics firms. A small country with a small port scores low whatever its state can organise, which is artefact A9. Container throughput and border time are observable and stay. See D23.
Border compliance time to export
direct capability measureretired, see notes- Raw value
- no datahours
- Year
- no data
- Normalized
- no data
- Source
- World Bank (TRD.ACRS.BRDR.EXPT.BRDR.COMP.HR.DB1619)
- History
- no data
Note: Retired 2026-10-17 (D167). Doing Business stopped in 2019 and the World Bank archived the code. B-READY trade efficiency carries the construct, the time and cost of border compliance, now reported by firms. See D23.
- Raw value
- 89.691score 0-100
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.BRE.IT.P3)
- History
- one year
- Raw value
- 133.474percentage 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.
- Raw value
- 0.662index 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), 2023
2.356 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.
Slovakia built the D4 motorway and R7 expressway around Bratislava, 59.0 km at EUR 1,670 million, as a public-private partnership between 2016 and 2021, the only PPP among the major road projects the Supreme Audit Office listed in its 2025 audit of road investment.
59 km, length of the d4/r7 ppp project, 2021. 1,670 EUR million, cost of the d4/r7 ppp project as listed by the audit office, 2025. Najvyšší kontrolný úrad Slovenskej republiky (NKÚ SR), Správa o výsledku kontroly: Investičné projekty v cestnej doprave (2025), retrieved 2026-10-02.
How it worked: The transport ministry procured the Bratislava bypass as one availability-payment concession covering design, construction, financing and decades of operation, so a single private partner delivered 59 km at once rather than in budget-limited sections.
Limits: The figures are one row of a table on printed page 12 of the audit office's PDF, which lists the period 2016 to 2021, 59.0 km, EUR 1,670.00 million and 'PPP' as the funding source; the audit is about road investment generally and does not evaluate the PPP itself, its cost against a public alternative or its schedule against plan. The table gives no definition of the cost (construction cost, capital value or total availability payments), so the EUR 1,670 million cannot be compared with the other rows without that caveat. The opening dates of the sections are not on this page; 2021 is the end of the period the table gives. The same table shows every other major road project financed from EU or state funds, so the record documents one delivered PPP, not a programme, and this source says nothing about Slovakia's earlier PPP attempts.
Matching grants for research income from the private sector
Slovakia's Research and Innovation Authority, under the Recovery and Resilience Plan, contracted 44 matching grants worth 30.8 million euros in 2024 and 2025 to universities and public research organisations as a reward for the research and development they had already done with the private sector, 21 of them, worth 24.2 million euros, to universities.
30,778,076 euros, matching grant funds contracted, rounds one and two (summed from the published recipient lists), 2024-2025. 44 contracts, matching grant contracts signed, rounds one and two, 2024-2025. Vyskumna a inovacna autorita (VAIA), call 09I02-03-V02 'Matching granty ku zdrojom ziskanym od sukromneho sektora v ramci vyskumnej spoluprace', call page and recipient lists as of 4 September 2024 and 27 June 2025, retrieved 2026-10-17.
How it worked: The research and innovation authority paid each university and public research organisation a grant sized by the research income it had already earned from private firms, so institutions that had sold research to industry received equipment money that the others did not.
Limits: The call page gives the allocation (32,473,000 euros) and the number of applications (15 in round one, 31 in round two) but no total of awards: 44 contracts and 30.8 million euros are our sums of the two recipient spreadsheets linked from that page (13 contracts and 17.2 million euros in round one, 31 contracts and 13.6 million euros in round two), and the 21 university contracts are those whose recipient name contains 'univerzita'; the rest went to Slovak Academy of Sciences institutes and state research centres. Contracted sums are not disbursed sums. The grant is a reward for collaboration that already happened, matched against private research income for periods the project titles give as 2020 to 2023, and the money buys research equipment, so the record shows how much contract and joint research with firms the public research system had, not new collaboration the grant created. The lists do not name the firms or say how much income each institution earned, and the matching ratio is set in the call text, not on the page. The money is European Union Recovery and Resilience Facility funding, run once through a closed call, so this is a one-off delivery rather than a standing programme. The University of Zilina, the Slovak University of Technology and the Technical University of Kosice took 21.3 million euros between them, so the volume is concentrated in a few technical universities.
Panel estimate, round 2, how this layer works
- 52.0 institutionalist@claude-opus-5-5, self-confidence 0.50
Panelist C makes a point I accept: a budget executed a third off plan is a direct failure of state coordination. Trade compliance and civil society are strong, but pressure on NGOs and public media since 2023 adds to it, so I move down.
- 53.0 bottom_up@claude-opus-5-5, self-confidence 0.40
I lower slightly. Panelist C is right to weight the budget miss of a third as direct behaviour. Strong trade compliance and an active civil society hold me above 50, though pressure on NGOs since 2023 is rising.
- 51.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.45
Trade efficiency and civil society are strong, but budget execution misses plan by a third, a direct behaviour I weight. Government and NGO relations are contested.
Trust
How much cooperation is possible beyond immediate personal networks?
No trend is shown because too few indicators have values at both ends. The rows below still show the available history.
Rule of law
perception proxyretired, see notes- Raw value
- no dataz-score -2.5 to 2.5
- Year
- no data
- Normalized
- no data
- Source
- World Bank (GOV_WGI_RL.EST)
- History
- no data
Note: Retired 2026-08-26. A WGI perception composite correlating with control of corruption above 0.95 and with log GDP per capita at 0.83. Court throughput and case clearance rates are the observable replacement and are a declared gap. See D23 and A4.
Control of corruption
perception proxyretired, see notes- Raw value
- no dataz-score -2.5 to 2.5
- Year
- no data
- Normalized
- no data
- Source
- World Bank (GOV_WGI_CC.EST)
- History
- no data
Note: Retired 2026-08-26. A WGI perception composite. It measures reputation for corruption, which is not the same thing as corruption, and it tracks income closely. Prosecution and audit records are the observable replacement and are a declared gap. See D23 and A4.
Time to enforce a contract
direct capability measureretired, see notes- Raw value
- no datadays
- Year
- no data
- Normalized
- no data
- Source
- World Bank (ENF.CONT.DURS.DY)
- History
- no data
Note: Retired 2026-10-17 (D167). Doing Business stopped in 2019 and the World Bank archived the code. B-READY dispute resolution efficiency carries the construct, the time and cost to resolve a commercial dispute and enforce the decision. See D23.
- Raw value
- 66.111score 0-100
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.BRE.DR.P3)
- History
- one year
- Raw value
- 2.06% of firms
- Year
- 2023. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.FRM.BRIB.ZS)
- History
- Raw value
- 3.032scale 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
- 58.0 institutionalist@claude-opus-5-5, self-confidence 0.50
Courts mostly bind the state and bribery is low, but the 2024 criminal code changes and abolition of the special prosecutor weaken the legal base. I move two points down and stay well below the indicator.
- 56.0 bottom_up@claude-opus-5-5, self-confidence 0.40
Bribery is low and courts are obeyed, but past EVS waves show low generalised trust and the 2024 criminal code changes weaken the legal base. I stay well below the indicator.
- 60.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.40
Bribery is low and courts mostly bind the state, but 2024 criminal code changes and recent scandals weaken the base. Interpersonal trust is missing.
Learning
How effectively does the country acquire, distribute, and update knowledge?
No trend is shown because too few indicators have values at both ends. The rows below still show the available history.
- Raw value
- 0.665index 0-1
- Year
- 2020. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (HD.HCI.OVRL)
- History
- Raw value
- 53.037% of firms
- Year
- 2023. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.FRM.TRNG.ZS)
- History
Adult learning participation
direct capability measureno dataset exists, 1 record- Raw value
- no data% of adults
- Year
- no data
- Normalized
- no data
- Source
- Eurostat / OECD PIAAC
- History
- no data
Note: The best available measure of continuous learning capacity, and it exists only for European and OECD members.
- Raw value
- 1.043ratio to world average
- Year
- 2021. The rail runs from 1960 to 2026.
- Normalized
- Source
- OpenAlex (citation_normalized_percentile.is_in_top_10_percent)
- History
- one year
Conditions, not scored
What the country has to work with on this capability. The values are shown as the source published them and are not part of the score, the confidence or the trend. The rank counts the countries with a value, best first.
Tertiary enrolmentWorld Bank (SE.TER.ENRR), 2024
54.5 % gross, rank 60 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
4.7 % of GDP, rank 47 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
30.2 % of secondary, rank 17 of 125. Vocational pupils as a share of total secondary enrolment.
A condition, not scored: the share of secondary pupils on a vocational track describes how a school system is built, not what anyone learns in it, and higher is not unambiguously better (D141). It marks a route into skilled work that does not run through university. Learning reads research citation impact, firm training and the human capital index instead.
Evidence for missing indicators
Each record describes a case the indicators above cannot see. It does not affect the score or confidence because one case is not comparable across countries. A gap can become an indicator when a comparable series covers at least two countries.
Zručnosti pre trh práce, retraining and training contributions of the labour offices
Slovakia's Central Office of Labour, Social Affairs and Family enrolled 17,008 clients in its national project 'Zručnosti pre trh práce' in 2025 and paid training contributions for 16,853 of them, 14.56 million euros in all, with 9,714 registered jobseekers starting retraining courses against 5,904 in 2024.
17,008 clients, clients enrolled in the national project zručnosti pre trh práce, 2025. 9,714 jobseekers, registered jobseekers who started retraining under the project, 2025. Ústredie práce, sociálnych vecí a rodiny (Central Office of Labour, Social Affairs and Family), Vyhodnotenie aktívnych opatrení na trhu práce za rok 2025, section 6.4, retrieved 2026-10-02.
How it worked: Labour offices let registered jobseekers pick an accredited course and provider themselves, approve a contract, and reimburse the fee and travel costs once the course is completed.
Limits: The office evaluates its own project, in a 76-page PDF (printed pages 36 to 37, PDF page 37). The 17,008 mixes three activities, retraining of registered jobseekers, skills for young people not in employment or training, and training of registered job applicants (záujemcovia o zamestnanie), who may be in work, and the client counts are enrolments and payments, not completions; the retraining contributions are paid after a course ends, so some 2025 payments relate to agreements from 2024. The client chooses the course and provider from the open market and the office only reimburses it, so course quality is not controlled by the office. The six-month placement rate the office reports (53.83 percent for retrained jobseekers) is not a measured effect, since there is no comparison group. The project began in April 2024, so the 2024 comparison covers only part of a year; earlier demand-led retraining schemes of the labour offices (known as REPAS+ and KOMPAS+) are not covered in this report and their scale was not checked.
Panel estimate, round 2, how this layer works
- 55.0 institutionalist@claude-opus-5-5, self-confidence 0.55
Good human capital and firm training, middling research impact, and adult learning low for the EU. I hold.
- 55.0 bottom_up@claude-opus-5-5, self-confidence 0.50
Human capital and firm training are good and citation impact moderate. Adult learning is low for an EU member.
- 55.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.45
Firm training and HCI are good; citation impact is only just above world average and adult learning is low for the EU.
Experimentation
How easily can new approaches be attempted, tested, abandoned, and improved?
-0.9 over 10 years, from 27.2 in 2016 to 26.3 on 3 indicators seen in both years.
+2.8 over 20 years, from 23.5 in 2006 to 26.3 on 3 indicators seen in both years.
Trends use fewer indicators than the current score and use today's frame. A longer span reaches further back.
- Raw value
- 167per million people
- Year
- 2024. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IP.PAT.RESD)
- History
- Raw value
- 10849per million people
- Year
- 2024. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IP.TMK.RSCT)
- History
- Raw value
- 234per million people
- Year
- 2024. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IP.IDS.RSCT)
- History
- Raw value
- 55029per 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, 1 record- Raw value
- no datafirms per million people
- Year
- no data
- Normalized
- no data
- Source
- national regulators
- History
- no data
Note: Redefined 2026-10-02 (D152). The row asked for the number and breadth of live sandboxes, which is a policy stock: a regime can exist with nobody in it. It now counts what passes through: firms a regulator let test under relaxed rules, and firms that came out, authorised, withdrawn or failed. Regulators publish cohort lists and exit reports one by one. The evidence corpus holds 22 records against this row, most of them counts of firms admitted or exited, each on the definition and window of its own regulator, and no register assembles them on one definition (O1 triage sweep, 2026-10-01). A realistic candidate for Envisioning to build from those lists. Wireable on a register that counts admissions and completions on one definition for half the frame or more.
University spinouts
direct capability measureno dataset exists- Raw value
- no dataper million people
- Year
- no data
- Normalized
- no data
- Source
- national TTO associations
- History
- no data
Note: Reported nationally with incompatible definitions of what counts as a spinout.
Business share of R&D
capability inputretired, see notes- Raw value
- no data% of R&D
- Year
- no data
- Normalized
- no data
- Source
- OECD MSTI / RICYT
- History
- no data
Note: Retired 2026-10-02. The only working source, OECD MSTI joined with RICYT for Latin America, covers 34 of the 53 countries then in the frame, but the row reads the make-up of a spending stock: who performs the R&D a country pays for. R&D spending itself is a condition since D122, and the share is high both where business research is large (Israel) and where total research is tiny and one firm dominates it (Thailand). State enterprises count as business, so China and Vietnam read their ownership model. UIS stopped publishing the series in 2023. Firms trying new things are read through patents, trademarks, designs and entrepreneurship instead. See D142.
Evidence for missing indicators
Each record describes a case the indicators above cannot see. It does not affect the score or confidence because one case is not comparable across countries. A gap can become an indicator when a comparable series covers at least two countries.
Narodna banka Slovenska regulatory sandbox
Slovakia's central bank opened its regulatory sandbox on 1 January 2022 and lists one former participant, Crowdberry Investment Platform, which entered on 22 November 2023, tested an electronic bulletin board for secondary trading of crowdfunded securities with selected clients from 15 December 2024 to 18 April 2025, and exited on 15 May 2025.
1 firms, firms listed as former participants (completed) of the regulatory sandbox, 2025-05-15. Narodna banka Slovenska, Regulatory sandbox page, retrieved 2026-10-02.
How it worked: The central bank admits firms year-round into a preparation phase of up to six months of consultations and a testing phase of up to six months on real clients under a test plan, ending with a final report and meeting.
Limits: The page lists former participants only and gives no count of current participants or applications, so admissions in progress are unknown; one completion in nearly four years of operation is the figure the page supports. The sandbox waives no regulatory requirement: the page says requirements cannot be waived, so it is supervised testing with consultation. The bank states that its innovation hub handles far more interactions than the sandbox, which reflects the design rather than a measured failure. The regulator reports on its own programme.
Panel estimate, round 2, how this layer works
- 25.0 institutionalist@claude-opus-5-5, self-confidence 0.50
Low filings and software activity reflect an economy built on foreign-owned assembly plants. I hold.
- 26.0 bottom_up@claude-opus-5-5, self-confidence 0.40
IP and software are low to moderate, and experimentation is driven by foreign car firms more than domestic entrants.
- 25.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.40
Modest filings and repositories in a foreign-owned assembly economy. Testing is led by parent firms, not domestic entrants.
Adaptability
How effectively can the system respond when circumstances change?
No trend is shown because too few indicators have values at both ends. The rows below still show the available history.
- Raw value
- 5.359% of labour force
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (SL.UEM.TOTL.ZS)
- History
- Raw value
- 63.4% of unemployed
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- ILOSTAT (DF_UNE_TUNE_SEX_AGE_DUR_NB)
- History
- one year
- Raw value
- 0.253index 0-1, lower = more diversified
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- UNCTAD (US.ConcentDiversIndices)
- History
- one year
- Raw value
- 3.75% of products not exported competitively at the start
- Year
- 2024. The rail runs from 1960 to 2026.
- Normalized
- Source
- Harvard Growth Lab (hs92_country_product_year_4.csv (doi:10.7910/DVN/T4CHWJ))
- History
- one year
Disaster preparedness and recovery
direct capability measureno dataset exists, 1 record- Raw value
- no dataindex 0-100
- Year
- no data
- Normalized
- no data
- Source
- INFORM / UNDRR
- History
- no data
Note: No source observes a country preparing for or recovering from a real shock. INFORM publishes its lack of coping capacity apart from hazard and exposure, but that dimension averages government self-assessments and governance perception indices with stocks such as roads, phones and physicians, which is the perception layer D23 retired plus conditions money buys (D122). Sendai and WHO reporting are governments grading themselves. A warning-reach survey item is a check candidate. See the disaster preparedness memo.
Institutional responsiveness
direct capability measureno dataset exists, 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
76.2 % aged 15+, rank 37 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
33.8 per 100 people, rank 31 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), 2025
5.1 % of output, rank 16 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
6.2 % of employment, rank 24 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.
Prvá pomoc (First Aid) job retention scheme, 2020 to 2022
Slovakia's government approved the labour ministry's job retention scheme on 31 March 2020, labour offices began accepting applications on 6 April with support backdated to 13 March, and over two years the scheme paid almost EUR 2.5 billion to 176,000 employers and self-employed people, 5.7 million monthly payments covering more than 770,000 employees.
6 days, days from government approval to the first applications, 2020-04-06. 2.5 EUR billion, first aid support paid over the life of the scheme (almost), 2022-02-28. Ministerstvo práce, sociálnych vecí a rodiny SR, Prvá pomoc (pomahameludom.sk), closing summary, retrieved 2026-10-02.
How it worked: The labour ministry designed a state aid scheme paid through the network of labour offices, with separate measures for closed businesses, firms with falling revenue and the self-employed, and the government approved it so offices could take applications within a week.
Limits: The page is the labour ministry's own scheme site and its closing summary is promotional: it quotes the minister calling the ministry the most successful state body at delivering aid, and cites a supportive analysis by the ministry's own Institute of Social Policy. The figures are rounded ('almost 2.5 billion', 'more than 770 thousand') and the page has no publication date; the eligible period it states runs from 13 March 2020 to 28 February 2022. The six days are our arithmetic from the two dates on the page; the record does not show how long the first payments took after applications opened, and this record has not read any audit of the scheme. Employees counted are those in supported firms, not jobs shown to have been saved, and nearly half of the money went to micro-enterprises, per the institute's director quoted on the page.
Slovakia's Ministry of Interior, as intermediate body for the Operational Programme Quality of Environment, improved the intervention equipment of 371 bodies for climate-related emergencies by 2022, mainly municipal volunteer fire brigades, against an original target of 20.
371 bodies, bodies with improved intervention equipment (implemented value), 2022. 20 bodies, original target for the same output indicator, 2016 to 2020 programme target. European Commission, ESIF 2014-2020 programme-specific achievements (Cohesion Open Data), indicator O0026 of Slovakia's Operational Programme Quality of Environment, retrieved 2026-10-16.
How it worked: The Ministry of Interior, acting as intermediate body for an EU environmental programme, used the programme's climate-adaptation axis to equip municipal volunteer fire brigades directly, turning a target sized for national and regional services into a nationwide local roll-out.
Limits: The figure is the managing authority's own report to the European Commission, republished as open data, so the programme reports on itself. It counts bodies that received equipment, not the equipment's quantity, condition, use in real incidents or any change in response times; the same programme's result indicator for intervention duration reports 108 minutes in every year from 2016 to 2022 against an 87 minute target. The managing authority's note says 370 of the 371 operations were only partially realised at the 2022 report, and that the ITMS2014+ monitoring system had reported 410 in error. The scale grew because a local project was added after the original target of 20 national and regional bodies, so the overshoot reflects a change of design rather than outperformance. The programme was EU co-financed; the record does not show what national funding sustains the equipment after 2023. A Supreme Audit Office report on crisis management for 2020 to 2022 found no functioning shelter system and civil-protection stocks that were run down, so this record is evidence for local response equipment and not for civil protection as a whole.
Panel estimate, round 2, how this layer works
- 52.0 institutionalist@claude-opus-5-5, self-confidence 0.50
Exports are diversified, but long-term unemployment is very high, especially in the east and among Roma communities, and the economy is tied to car assembly. I move toward panelist C.
- 53.0 bottom_up@claude-opus-5-5, self-confidence 0.40
I lower slightly. Exports are diversified, but long-term unemployment is very high, especially in the east and among Roma, and the economy leans on car assembly.
- 51.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.40
Diversified exports, but very high long-term unemployment, car dependence and slow reallocation, especially in the east.
Building
How capable is the country of turning plans and knowledge into functioning systems?
-1.4 over 10 years, from 26.8 in 2016 to 25.4 on 3 indicators seen in both years.
Trends use fewer indicators than the current score and use today's frame. A longer span reaches further back.
- Raw value
- 16.194% of GDP
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (NV.IND.MANF.ZS)
- History
- Raw value
- 10.594% of manufactured exports
- Year
- 2024. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (TX.VAL.TECH.MF.ZS)
- History
Logistics infrastructure quality
perception proxyretired, see notes- Raw value
- no dataindex 1-5
- Year
- no data
- Normalized
- no data
- Source
- World Bank (LP.LPI.INFR.XQ)
- History
- no data
Note: Retired 2026-08-26. An LPI sub-index, so the same freight-forwarder survey as logistics performance and the same problem. Electricity connection speed stays as the observable infrastructure measure in this dimension. See D23.
- Raw value
- 69.13score 0-100
- Year
- 2019. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.ELC.TIME.DFRN)
- History
- Raw value
- 0.468index
- 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, 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
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
84,278 constant 2021 PPP $, rank 34 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.
Decommissioning of the Bohunice V1 nuclear power plant, and its four-year slip
Slovakia's state decommissioning company JAVYS, which the European Court of Auditors reported in 2016 as holding the Bohunice V1 decommissioning end date at 2025 with a cost estimate of 1,239 million euros, reported in its 2025 annual report that the final decontamination and demolition contract signed on 18 December 2024 runs 60 months, putting the end of decommissioning at the end of 2029, at a total estimated cost of 1,220 million euros, with 66 decommissioning projects completed by 31 December 2025.
1,220 million euros, total estimated cost of decommissioning bohunice v1, 2025-12-31. 2029 year, expected year of completion of the whole v1 decommissioning process, against 2025 in the plan the eca reviewed in 2016, 2025-12-31. JAVYS, a.s. (Jadrová a vyraďovacia spoločnosť, state-owned), Výročná správa 2025 (annual report 2025), section on V1 decommissioning, retrieved 2026-10-02.
How it worked: A state company created to decommission shut-down reactors runs dozens of EU-funded projects under a detailed decommissioning plan monitored by the European Commission and the EBRD, and reschedules the end date when the final demolition contract is procured.
Limits: JAVYS reports on its own programme; the figures are in a PDF, the 2029 end date and the 60-month contract of 18 December 2024 on PDF page 17, the 1,220 million euro estimate and the 735 million EU share on PDF page 19, and the 66 completed projects on PDF page 20. The baseline comes from a different publisher: the European Court of Auditors' Special Report 22/2016 (https://www.eca.europa.eu/Lists/ECADocuments/SR16_22/SR_NUCLEAR_DECOMMISSIONING_EN.pdf) says the Slovak end date 'has remained at 2025' (paragraph 64, PDF page 40) and gives estimated costs of 1,146 million euros in 2011 and 1,239 million in 2015 (Table 8, PDF page 46). The two cost figures are not on the same basis, so the record does not claim the cost fell; it claims cost was held roughly flat while completion slipped about four years. Decommissioning is a stretch for 'major public infrastructure projects': it is a large state engineering programme that builds waste facilities and demolishes a plant rather than a new asset, and it is mostly paid for by the EU (735 million euros of the 1,220 million, through the EBRD-managed BIDSF fund and the Slovak Innovation and Energy Agency). The started year is 2015, the start of the second decommissioning stage under the nuclear regulator's licence of 23 December 2014; the first stage began earlier. Whether the 2029 date holds is not known.
Panel estimate, round 2, how this layer works
- 44.0 institutionalist@claude-opus-5-5, self-confidence 0.45
Car output is large, which high-tech shares undercount, but complexity is low and the D1 motorway delays show weak state delivery. I move two points up for the industrial scale panelist B names.
- 46.0 bottom_up@claude-opus-5-5, self-confidence 0.40
I lower from 50. Car production is real execution, but panelists A and C are right that the plants are foreign-owned and D1 motorway delays show weak state delivery.
- 40.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.40
Large manufacturing base, mostly foreign-owned. Fitness and tech exports are low and motorway delays show weak state delivery.