- Raw value
- 3567.56articles per million people
- Year
- 2023. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IP.JRN.ARTC.SC)
- History
Slovenia
Strongest usable evidence: Coordination, at 88.9. Raise Building first, at 41.9. Experimentation needs more evidence: confidence is 0.41.
Raise, lowest first
| Dimension | Confidence | Score |
|---|---|---|
| Building | 0.57 | 41.9 |
Measure before managing
| Dimension | Confidence | Score |
|---|---|---|
| Experimentation | 0.41 | 26.1 |
| Shared Purpose | 0.42 | 70.5 |
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.
Read Slovenia beside up to three other countries, down to the indicator behind every row.
- Usable or good evidence
- Thin evidence, hollow point. The dashes open further as confidence falls.
- The point still sits at the score, because confidence never moves it.
- Click any axis to see every country on that dimension.
A score from 0 to 100 is a position inside the frame that all the benchmark countries set: zero is the weakest on a dimension and 100 is the strongest. A score of 10 puts a country near the floor of that frame and does not mean 10 percent of a capability.
| Coordination | 0.45 | 3 of 5 | 0.94 | no trend | 77.0 | -11.9 | |
| Anticipation | 0.46 | 2 of 4 | 0.96 | +4.7(2) | 71.0 | -8.5 | |
| Shared Purpose | 0.42 | 3 of 6 | 0.92 | -1.5(2) | 66.0 | -4.5 | |
| Learning | 0.55 | 3 of 4 | 0.81 | no trend | 68.0 | +1.4 | |
| Adaptability | 0.62 | 4 of 6 | 1.00 | no trend | 60.0 | -2.9 | |
| Agency | 0.63 | 4 of 5 | 0.85 | no trend | 60.0 | -1.2 | |
| Trust | 0.55 | 5 of 7 | 0.93 | no trend | 57.0 | +3.2 | |
| Building | 0.57 | 4 of 6 | 0.90 | -0.5(3) | 48.0 | +6.1 | |
| Experimentation | 0.41 | 4 of 9 | 1.00 | -42.9(2) | 31.0 | +4.9 |
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?
+4.7 over 10 years, from 74.8 in 2016 to 79.5 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
- 91.087index 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
2.1 % of GDP, rank 16 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
5,616 per million people, rank 15 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
68,783 per million people, rank 13 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
- 72.0 institutionalist@claude-opus-5-5, self-confidence 0.55
Strong statistics and research, and IMAD runs a long-standing development report that outlasts governments. Foresight is not institutionalised at Nordic depth, so I stay under the indicator.
- 71.0 bottom_up@claude-opus-5-5, self-confidence 0.50
Statistics are near the top and research is good. IMAD's development reports show a planning habit, but foresight is not at Nordic depth.
- 70.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.50
Top statistical performance and solid science for a small country, and IMAD gives a planning habit. Foresight is not institutionalised at Nordic depth.
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
- 2.625per 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
- 74.833score 0-100
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.BRE.BE.P3)
- History
- one year
- Raw value
- 3count
- Year
- 2019. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.REG.PROC.MA.NO)
- History
Adults doing digital tasks
direct capability measureno dataset exists- Raw value
- no data% of adults
- Year
- no data
- Normalized
- no data
- Source
- ITU / UNESCO UIS (SDG 4.4.1, ICT skills by type)
- History
- no data
Note: Redefined 2026-10-02 (D152). The row asked whether adults can perform standard digital tasks, which reads a skill level, the kind of stock D122 moved out of the scores with internet users. It now counts the act: a person who did the task. It is not the internet users condition beside it, which counts access. Candidate: ITU ICT skills by type (SDG 4.4.1) through the UNESCO UIS API, probed 2026-10-02. Sent a message with an attached file reaches 33 of the 53 countries then in the frame, 25 at 2018 or later, with no United States, India or China and most of Africa and Central America missing; two other task items reach 31 and 16. The items are self-reported and the task list has changed between rounds. Wireable on one task observed for half the frame or more at 2018 or later.
- Raw value
- 7.6mean 1-10
- Year
- 2022. The rail runs from 1960 to 2026.
- Normalized
- Source
- Joint EVS/WVS (A173)
- History
- one year
Conditions, not scored
What the country has to work with on this capability. The values are shown as the source published them and are not part of the score, the confidence or the trend. The rank counts the countries with a value, best first.
Individuals using the internetWorld Bank (IT.NET.USER.ZS), 2024
90.8 % of population, rank 38 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
98.7 % aged 15+, rank 8 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
35.4 % of GDP, rank 73 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
- 60.0 institutionalist@claude-opus-5-5, self-confidence 0.55
Perceived control is high and procedures are few, but business density is low. The indicators read about right.
- 60.0 bottom_up@claude-opus-5-5, self-confidence 0.50
I hold 60. Perceived control is high and entry simple, but new business density is low.
- 57.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.45
Few procedures and high perceived control, but business density is low. Peers and I agree near the indicator.
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
- 92.408score 0-100
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.BRE.IT.P3)
- History
- one year
- Raw value
- 111.382percentage 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
- 0.907index 0-1
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- V-Dem (v2x_cspart)
- History
- one year
Public-private collaboration
direct capability measureno dataset exists- Raw value
- no dataindex 0-100
- Year
- no data
- Normalized
- no data
- Source
- none
- History
- no data
Note: No comparable dataset. PPP investment databases measure infrastructure finance, not collaboration capacity.
Behavioral check, not scored
Each number below is published beside the score and stays out of it. It is not in the frame, the average, the indicator count or the confidence.
Customs clearance time for exportsWorld Bank (IC.CUS.DURS.EX), 2024
5.535 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.
Cohesion Policy operational programme 2014-2020, research and innovation priority
Slovenia's cohesion policy operational programme reported that 241 enterprises it supported had cooperated with research institutions by 2020, against a target of 135 that was later raised to 210, and the count held at 241 through the end of 2023.
241 enterprises, enterprises cooperating with research institutions, investment priority 1a (common indicator co26, cumulative implemented value), 2023. 210 enterprises, final target for the same indicator, raised from 135, 2023. European Commission, Cohesion Open Data Platform, ESIF 2014-2020 Achievement Details timeseries (programme 2014SI16MAOP001, indicator CO26), retrieved 2026-10-17.
How it worked: Slovenian ministries ran cohesion-funded research and innovation calls that paid firms for projects carried out with universities and public institutes, and reported each participating firm against a common European indicator.
Limits: The values are what the Slovenian managing authority reported to the Commission in its annual implementation reports, so they are the programme's own account, republished by the Commission without audit. The target moved upward: it was 135 until 2019 and 210 from 2020, after the programme had already passed the first figure, so beating the final target says little on its own. The count stopped growing in 2020 and stayed at 241 to 2023, so the collaboration counted here was mostly delivered in 2016 to 2019. CO26 counts enterprises, not projects, money or results, and any firm that took part in a supported project with a research institution counts once. A research institution includes public institutes as well as universities, and the dataset does not split them or give a figure per call. The money was mostly European Regional Development Fund co-financing administered through Slovenian ministries. The year 2016 is the first year with a reported value, not the first call. The single-year URL carries the 2023 values; the earlier years are in the same dataset without the year filter.
Panel estimate, round 2, how this layer works
- 78.0 institutionalist@claude-opus-5-5, self-confidence 0.55
Strong civil society, social partnership through the Economic and Social Council and efficient trade compliance. The budget deviation is a real miss, so I move two points down.
- 77.0 bottom_up@claude-opus-5-5, self-confidence 0.50
I move up slightly. Civil society is among the strongest and the Economic and Social Council gives social partnership a channel. The budget deviation keeps me under 80.
- 76.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.50
Civil society and trade compliance are near the top and social partnership is institutional. Budget deviation is a moderate miss.
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
- 60.055score 0-100
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.BRE.DR.P3)
- History
- one year
- Raw value
- 1.767% of firms
- Year
- 2024. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.FRM.BRIB.ZS)
- History
- Raw value
- 2.752scale 0-4 (never to always)
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- V-Dem (v2jucomp_osp)
- History
- one year
Intentional homicide rate
downstream outcomeretired, see notes- Raw value
- no dataper 100,000 people
- Year
- no data
- Normalized
- no data
- Source
- World Bank (VC.IHR.PSRC.P5)
- History
- no data
Note: Added 2026-08-26 by D23 as the observable replacement for two retired WGI perception composites, and retired 2026-08-27 by D44 when the diagnostic built in D42 measured what it was doing. It raised this dimension's correlation with log GDP per capita by 0.288, from 0.096 to 0.385, the largest single wealth contribution anywhere in the model. It was added to fix wealth contamination and it was the wealth contamination. The dataset is sound and the objection is to what it measures here: homicide is driven heavily by organised crime, a society can be physically safe while trusting very little, and across this country set the variation it carries is mostly income. Behavioural trust measures remain a gap.
- Raw value
- 25.3% agreeing
- Year
- 2022. The rail runs from 1960 to 2026.
- Normalized
- Source
- Joint EVS/WVS (A165)
- History
- one year
Trust in public institutions
perception proxyno dataset exists- Raw value
- no data% expressing confidence
- Year
- no data
- Normalized
- no data
- Source
- OECD Trust Survey / WVS
- History
- no data
Note: The OECD survey covers members only. Mixing it with WVS items for India and South Africa would break comparability. The Joint EVS/WVS confidence battery (E069) reaches 37 countries from one release, and confidence in the courts (E069_17) is published beside Trust as a check under this id rather than scored: every item of the battery tested (courts, civil service, police, parliament and government) reads higher in the closed and electoral autocracies of the frame than in its democracies, which is deference as much as confidence (A13). The gap stays open for a measure that does not reward a court that cannot rule against the state. See D132.
- Raw value
- 13.7% expressing trust
- Year
- 2022. The rail runs from 1960 to 2026.
- Normalized
- Source
- Joint EVS/WVS (G007_34_B)
- History
- one year
Court case clearance rate
downstream outcomeno dataset exists- Raw value
- no data% of incoming cases
- Year
- no data
- Normalized
- no data
- Source
- CEPEJ / OECD / national court statistics
- History
- no data
Note: Whether a court finishes what it starts, counted from case records rather than asked in a survey. D23 named it as the observable replacement for the two retired WGI composites and it has stayed unfilled since. CEPEJ publishes it for Council of Europe members and OECD for its own members, so no single publisher reaches this country set, and a harmonised series needs the project second source adapter. See D57.
Behavioral check, not scored
Each number below is published beside the score and stays out of it. It is not in the frame, the average, the indicator count or the confidence.
Confidence in the courtsJoint EVS/WVS (E069_17), 2022
4.7 % a great deal, higher is better. Share of survey respondents saying they have a great deal of confidence in the justice system and courts, of the four answers a great deal, quite a lot, not very much and none at all, in the Joint EVS/WVS 2017 to 2022 survey round.
Confidence in the courts is the public half of what this capability asks: whether people expect the rules to be enforced when a stranger breaks them. It is not scored because the survey answer reads two things the number cannot tell apart. Where courts are independent, confidence is a judgment of how they perform. Where they answer to the state, it is also deference, and saying otherwise to an interviewer has a cost. In this frame the pattern runs the wrong way. India, the Philippines and Indonesia, all electoral autocracies in the V-Dem 2025 classification, lead on the share saying a great deal, and Vietnam and China, the two closed autocracies surveyed, lead once quite a lot is counted too. The ten electoral autocracies average 21.8 percent saying a great deal and the two closed autocracies 28.1, against 13.6 for liberal and 8.4 for electoral democracies. Scored, it would rank highest the states whose courts are least able to rule against them. Income is not why it is left out: the share correlates about -0.18 with log GDP per capita. The value is the share saying a great deal; the share saying quite a lot is in the source note.
Panel estimate, round 2, how this layer works
- 60.0 institutionalist@claude-opus-5-5, self-confidence 0.50
Courts are respected and bribery is low, but survey trust and out-group cooperation are low. The institutions carry more than the culture, which my stance weights, so I hold.
- 56.0 bottom_up@claude-opus-5-5, self-confidence 0.45
Bribery is low and courts mostly bind, but generalised trust and out-group trust are low. The institutions do more work than the culture.
- 57.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.45
Low bribery and mostly binding courts, but generalised trust and trust beyond the in-group are low. Institutions do more work than the culture.
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
- 0.775index 0-1
- Year
- 2020. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (HD.HCI.OVRL)
- History
- Raw value
- 44.882% of firms
- Year
- 2024. 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
- 1.359ratio 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
80.1 % gross, rank 23 of 124. Gross enrolment ratio in tertiary education.
A condition, not scored: enrolment counts people in formal education and records nothing learned (D122).
Public education expenditureWorld Bank (SE.XPD.TOTL.GD.ZS), 2022
5.3 % of GDP, rank 29 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
44.6 % of secondary, rank 3 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.
Upper secondary education for adults (srednješolsko izobraževanje odraslih)
Slovenia's publicly accredited upper secondary programmes for adults, run by schools and adult education centres, enrolled 17,858 adults in the 2024/25 school year, up from a low of 13,851 in 2020/21 but below the 20,580 enrolled in 2015/16.
17,858 adult students, adults in upper secondary education, all types of education, both sexes, all ages, 2024/25 school year. 20,580 adult students, same count, first year of the current series, 2015/16 school year. Statistični urad Republike Slovenije (SURS), SiStat table 0953322S 'Adults in upper secondary education by type of education, age and sex, Slovenia, annually', retrieved 2026-10-02.
How it worked: The state accredits upper secondary programmes adapted for adults, delivered part-time by secondary schools and folk high schools (ljudske univerze), so adults can earn the same vocational or general qualification as young people.
Limits: The URL is the table's API endpoint; the national total is returned by a POST query selecting the totals for sex, age and type of education, or can be read in SiStat. The count is enrolment in formal upper secondary programmes leading to a state-recognised qualification, from short vocational to the matura course, so it leaves out the non-formal adult education that makes up most adult learning in Slovenia, and it reaches about 1.5 percent of the working-age population. Enrolment is not completion: SURS publishes adult graduates in a separate table that was not used here. The series restarts in 2015/16 under a new methodology; the old series (table 0953356S) gives 13,327 in 2014/15 and 15,963 in 2011/12, which cannot be joined to the new one without a break. The 2020/21 low coincides with the pandemic. Adult upper secondary education predates 1991; the start year is that of the independent state's school system and is not in the table.
Panel estimate, round 2, how this layer works
- 68.0 institutionalist@claude-opus-5-5, self-confidence 0.60
High human capital, good research impact and firm training. I hold.
- 68.0 bottom_up@claude-opus-5-5, self-confidence 0.50
Human capital and citation impact are good and firm training moderate. Adult learning is above the EU average.
- 66.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.45
Good HCI, firm training and citation impact. Adult learning is likely above EU average but not in the data.
Experimentation
How easily can new approaches be attempted, tested, abandoned, and improved?
-42.9 over 10 years, from 68.7 in 2016 to 25.8 on 2 indicators seen in both years.
-29.6 over 20 years, from 56.4 in 2006 to 26.8 on 3 indicators seen in both years.
Trends use fewer indicators than the current score and use today's frame. A longer span reaches further back.
- Raw value
- 154per million people
- Year
- 2024. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IP.PAT.RESD)
- History
- Raw value
- 3141per million people
- Year
- 2024. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IP.TMK.RSCT)
- History
- Raw value
- 37per million people
- Year
- 2024. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IP.IDS.RSCT)
- History
- Raw value
- 29662per 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.
Panel estimate, round 2, how this layer works
- 30.0 institutionalist@claude-opus-5-5, self-confidence 0.50
Patents are moderate but trademarks, designs and software are low, and a small market limits testing. I hold.
- 31.0 bottom_up@claude-opus-5-5, self-confidence 0.40
Patents are moderate, trademarks, designs and software low. A small market limits trial.
- 31.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.40
Patents are decent; trademarks, designs and repositories are modest and the market is small.
Adaptability
How effectively can the system respond when circumstances change?
No trend is shown because too few indicators have values at both ends. The rows below still show the available history.
- Raw value
- 3.175% of labour force
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (SL.UEM.TOTL.ZS)
- History
- Raw value
- 28.8% 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
- 0.353index 0-1, lower = more diversified
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- UNCTAD (US.ConcentDiversIndices)
- History
- one year
- Raw value
- 2.29% of products not exported competitively at the start
- Year
- 2024. The rail runs from 1960 to 2026.
- Normalized
- Source
- Harvard Growth Lab (hs92_country_product_year_4.csv (doi:10.7910/DVN/T4CHWJ))
- History
- one year
Disaster preparedness and recovery
direct capability measureno dataset exists, 1 record- Raw value
- no dataindex 0-100
- Year
- no data
- Normalized
- no data
- Source
- INFORM / UNDRR
- History
- no data
Note: No source observes a country preparing for or recovering from a real shock. INFORM publishes its lack of coping capacity apart from hazard and exposure, but that dimension averages government self-assessments and governance perception indices with stocks such as roads, phones and physicians, which is the perception layer D23 retired plus conditions money buys (D122). Sendai and WHO reporting are governments grading themselves. A warning-reach survey item is a check candidate. See the disaster preparedness memo.
Institutional responsiveness
direct capability measureno dataset exists, 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 38 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
34.2 per 100 people, rank 30 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
5.7 % of output, rank 27 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.
Recovery after the August 2023 floods
Slovenia's Ministry of Natural Resources and Spatial Planning reported in July 2025 that after the floods of 4 August 2023 it had completed all intervention and emergency works on 850 km of watercourses by June 2024, paid 35.7 million euros in advance payments for home repairs to more than 7,350 individuals, transferred 218 million euros in advances to municipalities and completed more than 430 watercourse repair sites, within a five-year recovery programme funded at 2.3 billion euros.
7,350 people (more than), individuals paid advance payments for urgent repair of damaged homes, 2025-07-25. 850 km, length of watercourses on which all intervention and emergency works were completed by june 2024, 2024-06. Ministrstvo za naravne vire in prostor (Ministry of Natural Resources and Spatial Planning) and Direkcija RS za vode, news release 'Dve leti po poplavah: krepimo odpornost na podnebne spremembe', 25 July 2025, gov.si, retrieved 2026-10-02.
How it worked: The government passed an intervention law, paid flood-hit households and municipalities in advance instead of after damage assessment, mobilised more than a thousand machines on rivers at once, and then adopted a five-year recovery programme with dedicated funding through a new reconstruction office.
Limits: The ministry reports on its own response at a press conference marking two years since the floods, and calls its results 'an excellent result', so the framing is the government's. The figures are stated as 'more than' and are not broken down by date, apart from the June 2024 completion of emergency works. Advance payments to 7,350 people are not completed repairs: the same page says more than 5,000 applications from individuals and firms for building repair were still being processed and that 'more than half' of beneficiaries had received all the funds they needed, so the household recovery was incomplete two years on. The 2.3 billion euro programme is money allocated, not spent; the ministry says watercourse works rose more than tenfold after the floods, with 240 million realised in 2024 and 332 million forecast for 2025. A separate release of the cohesion ministry (12 June 2025) says Slovenia had used 88 percent (376.6 million euros) of the 428 million euro EU Solidarity Fund grant, so part of the recovery was EU money. The record shows recovery after the shock, not the warning or evacuation before it; the August 2023 floods killed several people and damaged a large share of municipalities, which this record does not measure.
Začasno čakanje na delo, the 2020 to 2021 furlough reimbursement
Slovenia's National Assembly passed a law on 20 March 2020 under which the state reimbursed employers part of the wage compensation for workers temporarily sent to wait for work, and by 20 May 2021, across all the COVID-19 laws that extended it, the Employment Service had paid 533.1 million euros to 31,605 employers for 214,128 employees.
214,128 employees, employees for whom employers were reimbursed for temporary waiting for work, counted once, 2021-05-20. 533.1 EUR million, reimbursements paid by the employment service to employers, 2021-05-20. Ministrstvo za delo, družino, socialne zadeve in enake možnosti (Ministry of Labour), 'Ukrep čakanja na delo podaljšan še za en mesec', 27 May 2021, citing Zavod RS za zaposlovanje, retrieved 2026-10-16.
How it worked: The National Assembly created a state share of wage compensation for idled workers by an emergency law, the Employment Service paid it to employers on application against a written commitment to keep the jobs, and the government kept extending it as the epidemic continued.
Limits: The ministry that ran the measure reports on it, in a press notice that also argues for extending it, and the record rests on no audit or final report covering the whole scheme. The figures stop on 20 May 2021, and the government extended the measure to 30 June 2021, so the totals are not final. The 20 March 2020 date is from the ministry's notice of that day (https://www.gov.si/novice/2020-03-20-kljucni-cilj-sprejetega-zakona-je-ohranitev-delovnih-mest-in-zadrzanje-cim-vec-ljudi/), which describes the first law: the state paid 40 percent of the wage compensation and the employer 60 percent, for at most three months, and later laws changed those terms several times. The notice gives no date for the first payment, so the record shows the speed of the rule change and the scale of the payments, not the speed of delivery. The ministry says the measure limited the rise in unemployment but publishes no estimate of jobs kept, and the count of 214,128 is people covered at any time, not a monthly peak. The record cannot show whether any money went to employers who kept workers busy while claiming for them.
Panel estimate, round 2, how this layer works
- 60.0 institutionalist@claude-opus-5-5, self-confidence 0.50
Low unemployment and a moderate long-term share, but few new export products, so much of the score is a tight labour market. The fast 2023 flood recovery is institutional, and I move two points down.
- 60.0 bottom_up@claude-opus-5-5, self-confidence 0.45
I hold 60. Unemployment is low, exports moderately diversified and the recovery after the 2023 floods was fast. Few new export products hold it below the indicator.
- 56.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.40
Low unemployment and decent diversification, but few new export products. Much of the score is a tight labour market.
Building
How capable is the country of turning plans and knowledge into functioning systems?
-0.5 over 10 years, from 25.9 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
- 18.605% of GDP
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (NV.IND.MANF.ZS)
- History
- Raw value
- 8.343% 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
- 91.304score 0-100
- Year
- 2019. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.ELC.TIME.DFRN)
- History
- Raw value
- 0.335index
- 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
102,992 constant 2021 PPP $, rank 22 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.
Šoštanj thermal power plant unit 6 (TEŠ 6), and its cost overrun
Slovenia's state-owned power holding HSE and its subsidiary TEŠ raised the estimated cost of the 600 MW Šoštanj unit 6 from 1,302,747 thousand euros in the August 2011 investment programme, the ceiling written into the 2012 law guaranteeing its 440 million euro EIB loan, to 1,428,457 thousand euros in the February 2014 programme, breaching the condition on which the state guarantee was given, according to the Court of Audit.
1,428,457 thousand euros, estimated investment value of unit 6, revised investment programme no. 6 (nip 6), 2014-02. 1,302,747 thousand euros, estimated investment value in revised investment programme no. 4 (nip 4), the ceiling set as a condition of the state guarantee, 2011-08. Računsko sodišče Republike Slovenije (Court of Audit of the Republic of Slovenia), post-audit report 'Popravljalni ukrepi pri reviziji obvladovanja denarnih tokov skupine HSE zaradi investicije v blok 6', no. 321-1/2014/70, 7 January 2016, retrieved 2026-10-02.
How it worked: A state-owned utility group committed to a single large lignite unit, financed it with a state-guaranteed EIB loan conditioned on a cost ceiling, and then revised the investment programme upward several times while construction ran, leaving the state as guarantor to accept the breach.
Limits: Both figures are in a PDF, on PDF page 9 of the post-audit report, which restates finding 2.1.2 of the main audit report of 19 August 2015 (no. 321-1/2014/49). The main report itself is published with the investment values redacted as business secrets (marked (P)) in its OCR copy, so the post-audit report is the readable source. The comparison is between two revisions of the investment programme, not between the first approved estimate and the final outturn: the record does not show the earlier, much lower estimates of the original 2006 to 2008 investment documents, which this protocol did not read at an official source, and so understates the full growth. NIP 6 is an estimate made while the unit was being built, not a final account. The court's main finding concerns HSE's management of the group's cash flows, and it also found the assumed coal cost (2.25 euros per GJ) and electricity prices unachievable, so the unit's financial case failed on more than construction cost. The unit was built under contract by an Alstom consortium; the delivering institutions are the state-owned HSE and TEŠ, and the state as guarantor and owner (through AUKN, SOD and SDH), whose oversight the court also faulted. The started year is the main construction contract with Alstom, as commonly reported; it was not read at the cited source. Status is concluded because the unit was built and operates; the record says nothing about its economics after 2016 or Slovenia's coal exit plans.
Panel estimate, round 2, how this layer works
- 48.0 institutionalist@claude-opus-5-5, self-confidence 0.50
Good manufacturing and fast connections, but complexity is low and motorway and rail projects such as the second Koper track have been slow. I move two points down.
- 48.0 bottom_up@claude-opus-5-5, self-confidence 0.40
I lower slightly. Manufacturing and connections are good and pharma is strong, but tech exports and fitness are low and rail and motorway projects have been slow.
- 46.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.40
Above-median manufacturing and fast electricity connection, but low fitness and tech exports, and the Koper rail and motorway projects were slow.