- Raw value
- 13845.8articles per million people
- Year
- 2023. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IP.JRN.ARTC.SC)
- History
Austria
Strongest usable evidence: Adaptability, at 76.0. Raise Agency first, at 48.5. Experimentation needs more evidence: confidence is 0.33.
Raise, lowest first
| Dimension | Confidence | Score |
|---|---|---|
| Agency | 0.54 | 48.5 |
Measure before managing
| Dimension | Confidence | Score |
|---|---|---|
| Experimentation | 0.33 | 44.2 |
| Coordination | 0.39 | 91.6 |
| Shared Purpose | 0.42 | 57.7 |
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 Austria 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 | 0.39 | 3 of 5 | 0.81 | no trend | no data | no estimate | |
| Adaptability | 0.62 | 4 of 6 | 1.00 | no trend | no data | no estimate | |
| Trust | 0.50 | 5 of 7 | 0.85 | no trend | no data | no estimate | |
| Anticipation | 0.46 | 2 of 4 | 0.96 | +3.5(2) | 68.0 | -6.6 | |
| Learning | 0.55 | 3 of 4 | 0.81 | no trend | no data | no estimate | |
| Shared Purpose | 0.42 | 3 of 6 | 0.92 | -0.6(2) | 63.0 | +5.3 | |
| Building | 0.57 | 4 of 6 | 0.90 | -1.5(3) | no data | no estimate | |
| Agency | 0.54 | 4 of 5 | 0.73 | no trend | no data | no estimate | |
| Experimentation | 0.33 | 4 of 9 | 0.81 | -0.2(3) | no data | no estimate |
How to read this page
Each dimension has a score from 0 to 100. It shows where this country sits among all 125 countries in the comparison frame, not a percentage. Confidence sits beside the score. A dashed radar edge and hollow point mean the evidence is thin. The records below show each indicator, its raw value, year and source.
A panel estimate, when present, is a separate judgment about what the indicators miss. It does not change the score or confidence. The panel's provenance is shown beside the estimate.
- direct capability measuredirect capability measure Measures the thing itself.
- capability inputcapability input Measures something that supports the capability.
- downstream outcomedownstream outcome Measures a result that usually follows from the capability.
- perception proxyperception proxy Records what people or experts say, not what they did.
Confidence
- very thin0.00 to 0.25
The score rests on one or two indicators. Do not quote it on its own.
- thin0.25 to 0.45
A minority of indicators, or evidence old enough to have moved. Read with care.
- usable0.45 to 0.65
Enough evidence to compare countries, with known holes.
- good0.65 and above
Most indicators observed, recent, from official or intergovernmental sources.
A row marked no dataset exists is a gap: the benchmark wants data that nobody publishes. A retired row has a source this project chose not to use. Both reduce confidence. The glossary defines each term, and the limits page lists where these numbers are known to be wrong about the world.
Anticipation
How capable is the country of identifying and preparing for emerging change?
+3.5 over 10 years, from 71.1 in 2016 to 74.6 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
- 89.348index 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
3.3 % of GDP, rank 7 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
6,634 per million people, rank 7 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
47,132 per million people, rank 19 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
- 70.0 institutionalist@claude-opus-5-5, self-confidence 0.55
Panelist C's point on slow pension reform adds a second preparation failure beside Russian gas, so I move down two points; WIFO, the Fiscal Council and social partnership are durable anticipatory institutions, which keeps me above C, whose discount for purchasable statistics ignores that many rich states do not sustain them.
- 68.0 bottom_up@claude-opus-5-5, self-confidence 0.50
Hold. Strong statistics, WIFO, the Fiscal Council and social partnership plan ahead on labour and pensions; the Russian gas dependence into 2022 is a strategic blind spot all three of us named. C's 62 discounts statistics as purchasable, but timely data is used here, not just bought.
- 64.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.45
I move from 62 to 64. Panelists A and B point to WIFO, the Fiscal Council and social partnership planning as institutional conversion, which I underweighted. The Russian gas dependence into 2022 is a direct failure of strategic anticipation and keeps me well below the 74.6 indicator score.
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
- 1per 1,000 aged 15-64
- Year
- 2023. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.BUS.NDNS.ZS)
- History
- Raw value
- 21days
- Year
- 2019. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.REG.DURS.MA.DY)
- History
- Raw value
- 8count
- 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
- 7.2mean 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), 2025
91.9 % of population, rank 31 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
99.5 % aged 15+, rank 2 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
81.8 % of GDP, rank 25 of 124. Domestic credit provided to the private sector by financial corporations.
A condition, not scored: financial depth is a stock of money available to actors, not what they do with it (D122). High values can also signal a credit bubble, so more is not always better.
Coordination
How effectively can independent actors organize around shared objectives?
No trend is shown because too few indicators have values at both ends. The rows below still show the available history.
Government effectiveness
perception proxyretired, see notes- Raw value
- no dataz-score -2.5 to 2.5
- Year
- no data
- Normalized
- no data
- Source
- World Bank (GOV_WGI_GE.EST)
- History
- no data
Note: Retired 2026-08-26. The WGI aggregate the opinions of experts and firms, and in this set the four WGI series correlate with each other between 0.93 and 0.98 while correlating with log GDP per capita at 0.91. That is one perception of national wealth counted in three dimensions. Cross-agency delivery records are the replacement and they are a declared gap. See D23 and A4.
Regulatory quality
perception proxyretired, see notes- Raw value
- no dataz-score -2.5 to 2.5
- Year
- no data
- Normalized
- no data
- Source
- World Bank (GOV_WGI_RQ.EST)
- History
- no data
Note: Retired 2026-08-26. Same measurement as government effectiveness, filed under a different name, correlating with it above 0.93. See D23 and A4.
Logistics performance
perception proxyretired, see notes- Raw value
- no dataindex 1-5
- Year
- no data
- Normalized
- no data
- Source
- World Bank (LP.LPI.OVRL.XQ)
- History
- no data
Note: Retired 2026-08-26. The LPI is a survey of international freight forwarders, so it records how a country looks to global logistics firms. A small country with a small port scores low whatever its state can organise, which is artefact A9. Container throughput and border time are observable and stay. See D23.
- Raw value
- 0hours
- Year
- 2019. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (TRD.ACRS.BRDR.EXPT.BRDR.COMP.HR.DB1619)
- History
- Raw value
- 106.971percentage 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
- 0.884index 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), 2025
2.28 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.
COMET, Competence Centers for Excellent Technologies
Austria's COMET programme, run by the FFG for the federal ministries and co-funded by the Länder, had approved 81 competence centres and K-projects with eligible costs of 1,669.80 million euros by 30 March 2017, in which about 450 scientific partners and about 1,000 company partners cooperated, according to the Court of Audit.
81 centres and projects, comet centres and projects approved since programme start (21 k1 centres, 5 k2 centres, 55 k-projects), table 2, 2017-03-30. 1,000 company partners, company partners cooperating within comet (rounded), 2017. Rechnungshof Österreich (Austrian Court of Audit), Bericht 'Forschungsförderungsprogramm COMET: Competence Centers for Excellent Technologies', Reihe BUND 2018/38, retrieved 2026-10-02.
How it worked: Two federal ministries fund, through their research promotion agency, multi-year competence centres in which universities and firms run a joint research programme, with the Länder adding about half the federal share and companies paying roughly 40 to 60 percent of costs.
Limits: The figures sit in an 86-page PDF: Table 2 on printed page 33 (PDF page 35) gives the 81 approved centres and projects and 1,669.80 million euros of eligible costs (federal funding 522.06 million, Länder 262.79 million), and the partner counts are on printed page 24 (PDF page 26), both rounded ('rd. 450' and 'rd. 1.000'). The counts are approvals since 2007, not centres running in a given year, and the partner figures count organisations once without saying over what period; the court notes elsewhere about 970 company participations including multiple participations, so 1,000 is not a count of distinct firms. Scientific partners include non-university research bodies, not only universities. The audit period ended in 2016 and the numbers are nine years old; the FFG programme page said on 2026-10-02 that the network currently comprises 23 COMET centres, 17 COMET modules and 15 COMET projects, with no reference date, which supports 'operating' but is not the metric. The court audits spending and compliance, not research output, and it criticised conflicts of interest in centre governance.
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.
- Raw value
- 397days
- Year
- 2019. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (ENF.CONT.DURS.DY)
- History
- Raw value
- 2.466% of firms
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.FRM.BRIB.ZS)
- History
- Raw value
- 3.108scale 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
- 49.8% 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
- 38.8% 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
20.1 % 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.
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
- 0.747index 0-1
- Year
- 2020. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (HD.HCI.OVRL)
- History
- Raw value
- 31.494% of firms
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.FRM.TRNG.ZS)
- History
Adult learning participation
direct capability measureno dataset exists, 2 records- 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
- 1.628ratio 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
92.6 % gross, rank 12 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 30 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
34.5 % of secondary, rank 11 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.
AMS training measures (Schulungen) for jobseekers
Austria's Public Employment Service (AMS) had on average 76,496 people a day enrolled in its training measures in 2025, up 1.3 percent on 2024, against an annual average of 65,126 in 2015.
76,496 people in training (annual average), schulungsteilnehmer_innen gesamt, annual average stock, 2025. 65,126 people in training (annual average), same annual average ten years earlier (übersicht jahr 2015), 2015. Arbeitsmarktservice Österreich (AMS), 'Übersicht über den Arbeitsmarkt, Jahr 2025' (Spezialthema Jahreswerte), retrieved 2026-10-02.
How it worked: The public employment service buys and runs courses for registered jobseekers, from basic skills to vocational qualifications, and pays an allowance while they attend.
Limits: The agency reports on its own measures, in a five-page PDF (the training table is on page 3). The figure is an annual average stock, the number enrolled on an average day, not the number of different people trained in the year, which is several times larger and is not in this file. It counts only registered jobseekers placed in AMS-funded courses, so employed adults, apprentices and adults in schools or universities are outside it, and it moves with unemployment and with the AMS budget: in 2021 it reached 70,337 after a 23.2 percent rise during the pandemic job programme. The 2015 comparison is from the 2015 edition of the same report (https://www.ams.at/content/dam/dokumente/berichte/001_uebersicht_jahr2015.pdf). The trainees are excluded from the registered unemployment count, which gives the agency an incentive to place people on courses. The 1994 start is the year the AMS was established as a separate agency, not stated in this file.
Bildungskarenz with Weiterbildungsgeld, and its abolition
Austria's Public Employment Service (AMS) paid Weiterbildungsgeld from 1998 to employees taking up to a year of educational leave, an average of about 14,000 recipients in 2021 at a cost that rose from 236 million euros in 2019 to 646 million in 2024, until the Nationalrat ended the benefit on 31 March 2025 in a budget consolidation law.
14,000 persons (annual average), average weiterbildungsgeld recipients on educational leave, 2021. 646 million EUR, total spending on bildungskarenz in its last full year before abolition, 2024. Rechnungshof Österreich (Austrian Court of Audit), report Bildungskarenz, Reihe Bund 2023/11, retrieved 2026-10-02.
How it worked: The federal government let employees suspend their contract for training and had the AMS pay an unemployment-benefit-level allowance out of the unemployment insurance fund; parliament then cut the allowance outright when costs tripled and evaluations found weak employment effects.
Limits: The recipient count is an annual average of people on leave at once, not a share of adults who trained in a year, so it cannot be set against the indicator's unit. The Court of Audit found the training requirements so weak that the leave could fund low-value courses or plain time out of work, and that uptake skewed toward people already highly educated, so the programme's peak is partly a peak in subsidised leave rather than in learning. The 2024 spending figure is the parliament's summary of the government's justification, it includes social insurance contributions, and it is a cost, not a participation number. Abolition is not the end of state support for training leave: a successor Weiterbildungszeit with a Weiterbildungsbeihilfe capped at 150 million euros a year took effect in January 2026 with stricter eligibility (PK0907, 16 October 2025), so a reviewer could call this erosion rather than dismantling. The record documents that the benefit ended by decision; it does not show that adult learning participation in Austria fell as a result.
Experimentation
How easily can new approaches be attempted, tested, abandoned, and improved?
-0.2 over 10 years, from 47.5 in 2016 to 47.3 on 3 indicators seen in both years.
-22.4 over 20 years, from 69.7 in 2006 to 47.3 on 3 indicators seen in both years.
-44.5 over 30 years, from 100.0 in 1996 to 55.5 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
- 1872per million people
- Year
- 2021. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IP.PAT.RESD)
- History
- Raw value
- 17472per million people
- Year
- 2021. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IP.TMK.RSCT)
- History
- Raw value
- 232per million people
- Year
- 2021. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IP.IDS.RSCT)
- History
- Raw value
- 182667per 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.
Austria's Financial Market Authority admitted eight FinTechs to its Regulatory Sandbox between its launch on 1 September 2020 and January 2023, five seeking authorisation as European crowdfunding service providers and three offering crypto-asset or securities services, and one participant had obtained a licence for a digital trading platform by the start of 2022.
8 firms, fintechs admitted to the regulatory sandbox since launch, 2023-01-02. 5 firms per year, participants per year the federal funding was designed for, in the 2019 impact assessment of the fmabg amendment, 2019. Finanzmarktaufsicht (FMA), press release 'FMA's Regulatory Sandbox presents positive results', 2 January 2023, retrieved 2026-10-02.
How it worked: Parliament amended the Financial Market Authority Act to create a sandbox at the FMA, with a federal grant for running it and an advisory board at the finance ministry that comments on each application's economic interest and readiness before the FMA decides.
Limits: The count is the regulator's own and dates from January 2023; no later total was found, and an FMA notice on a later admission returned 403 to a script and was not read. Eight admissions in 28 months is below the five a year the federal contribution of EUR 500,000 a year was sized for (impact assessment, Vorblatt, https://www.ris.bka.gv.at/Dokumente/Begut/BEGUT_COO_2026_100_2_1632524/COO_2026_100_2_1632539.pdf, page 1), so the regime ran under its design volume. The sandbox grants no relief from regulatory requirements: the impact assessment says a core principle is that requirements are not lowered, so it is supervised testing with guidance rather than derogation. Five of the eight were crowdfunding platforms preparing for one EU regulation, which inflates the count with a one-off wave. Admission is not completion: the release names one licence obtained. The page was read through WebFetch because the FMA site returns 403 to curl.
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
- 5.582% of labour force
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (SL.UEM.TOTL.ZS)
- History
- Raw value
- 18.4% 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
- 0.066index 0-1, lower = more diversified
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- UNCTAD (US.ConcentDiversIndices)
- History
- one year
- Raw value
- 3.77% of products not exported competitively at the start
- Year
- 2024. The rail runs from 1960 to 2026.
- Normalized
- Source
- Harvard Growth Lab (hs92_country_product_year_4.csv (doi:10.7910/DVN/T4CHWJ))
- History
- one year
Disaster preparedness and recovery
direct capability measureno dataset exists- Raw value
- no dataindex 0-100
- Year
- no data
- Normalized
- no data
- Source
- INFORM / UNDRR
- History
- no data
Note: No source observes a country preparing for or recovering from a real shock. INFORM publishes its lack of coping capacity apart from hazard and exposure, but that dimension averages government self-assessments and governance perception indices with stocks such as roads, phones and physicians, which is the perception layer D23 retired plus conditions money buys (D122). Sendai and WHO reporting are governments grading themselves. A warning-reach survey item is a check candidate. See the disaster preparedness memo.
Institutional responsiveness
direct capability measureno dataset exists, 1 record- Raw value
- no dataindex 0-100
- Year
- no data
- Normalized
- no data
- Source
- none
- History
- no data
Note: No dataset exists. Measurable in principle from legislative and regulatory timestamps, which no one has assembled comparably.
Conditions, not scored
What the country has to work with on this capability. The values are shown as the source published them and are not part of the score, the confidence or the trend. The rank counts the countries with a value, best first.
Labour force participationWorld Bank (SL.TLF.ACTI.ZS), 2025
77.9 % aged 15+, rank 26 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
30.1 per 100 people, rank 37 of 125. Fixed broadband subscriptions per 100 people.
A condition, not scored: installed infrastructure is what a country has to change with, not a record of it changing (D122). Penalizes mobile-first countries such as India and South Africa.
Electricity transmission lossesWorld Bank (EG.ELC.LOSS.ZS), 2024
3.8 % of output, rank 8 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
5.5 % of employment, rank 22 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.
COVID-19-Kurzarbeit, 2020 to 2021
Austria's social partners drafted a COVID-19 short-time work model on 13 and 14 March 2020, the AMS adopted its directive on 18 March and the ministers approved it on 19 March, three days after the first lockdown began, and in 2020 113,771 firms with 1.25 million employees used the scheme, against 508 firms in 2009.
1,250,000 employees, employees in firms using covid-19 short-time work in the year, 2020. 3 days, days from the start of the first lockdown (16 march 2020) to ministerial approval of the ams directive (19 march 2020), 2020-03-19. Rechnungshof Österreich, Bericht des Rechnungshofes: COVID-19-Kurzarbeit (Reihe Bund 2022/7), retrieved 2026-10-02.
How it worked: The government let the social partners (the chambers of commerce and labour and the trade unions) write the crisis model over a weekend, the employment service turned their outline into a directive within three days, and parliament adapted the existing short-time work law by initiative motion on 15 and 20 March.
Limits: The figures are in a PDF: the 113,771 firms and 1.25 million employees, the EUR 7.849 billion paid from March 2020 to March 2021 and the EUR 500 million overpayment are in the summary (PDF page 10, repeated in TZ 18); the timeline (social partner talks on 13 and 14 March, the punctation handed to the AMS on 15 March, the AMS board decision on 18 March, ministerial approval on 19 March, retroactive to 1 March) is in TZ 2 (PDF page 21). The three days are our arithmetic from those dates. The audit office is critical, not celebratory: it found that speed came at a cost, with an unsuitable flat-rate method and over-compensation of municipal tax causing overpayments of about EUR 500 million in phase 1, a directive amended twelve times by March 2021, often retroactively, the AMS and the ministry's labour market experts left out of the design, and no concept for targeted detection of abuse. The 1.25 million counts employees in participating firms over the year, not workers on short time at one moment. Austria already had a short-time work instrument, so the move was a redesign of an existing rule, not a new one, and the number of jobs it saved is an estimate the office treats cautiously.
Building
How capable is the country of turning plans and knowledge into functioning systems?
-1.5 over 10 years, from 40.7 in 2016 to 39.2 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
- 15.227% of GDP
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (NV.IND.MANF.ZS)
- History
- Raw value
- 18.453% 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
- 97.826score 0-100
- Year
- 2019. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.ELC.TIME.DFRN)
- History
- Raw value
- 1.616index
- 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
131,259 constant 2021 PPP $, rank 9 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.
Koralmbahn Graz to Klagenfurt, opened seven years after its contracted completion date
Austria's federal rail infrastructure company ÖBB-Infrastruktur AG forecast the Koralmbahn's total cost at 6.139 billion euros at the end of 2023, 282.4 million euros or 5 percent above the 2012 baseline, but missed both the 2018 completion date in the 2004 Koralmbahn contract and the 2023 opening date in the 2012 to 2017 framework plan, according to the Court of Audit, and the line entered passenger service on 14 December 2025.
6.139 billion euros, forecast total cost of the koralmbahn project, 2023-12. 282.4 million euros (5 percent), cost increase against the 2012 baseline, including the later addition of the airport branch, 2023-12. Rechnungshof Österreich (Austrian Court of Audit), news release 'Rechnungshof veröffentlichte Bericht Projekt Koralmbahn', 4 April 2025, on report Bund 2025/14, retrieved 2026-10-02.
How it worked: The federal government funded a new high-speed line through the federal rail framework plan and its state-owned infrastructure company managed the build, holding total cost close to the 2012 estimate while a hard-rock tunnel lot overran in cost and time and pushed the opening back twice.
Limits: The cost figure is ÖBB-Infrastruktur's own forecast, which the court reports; it is a forecast at the end of 2023, not a final account, and the 5 percent increase is measured from 2012, when the project was already well advanced, so it says nothing about growth from the first estimates of the 1990s and 2000s, which the release does not give. The court's audit covered 2012 to 2023. The release says the tunnel lot KAT 2 alone rose 297.75 million euros and took about 31 months longer, with contractor claims above a third of the original contract sum, and that the company paid tunnel stoppages contrary to the contract. The opening date of 14 December 2025 is taken from ÖBB's own project page (https://www.unsereoebb.at/de/suedstrecke, 'Am 14. Dezember 2025 geht die Koralmbahn in den Fahrgastbetrieb'), not from the court. The full report PDF (https://www.rechnungshof.gv.at/rh/home/home/2025_14_Koralmbahn.pdf) was not opened; the figures come from the release. The started year is approximate and was not read at either source: preparatory works on the line began in the late 1990s and the Koralm tunnel drives later. ÖBB-Infrastruktur is a state-owned company, so the delivery is institutional, but the record reports cost and time only, not ridership.