- Raw value
- 1059.81articles per million people
- Year
- 2023. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IP.JRN.ARTC.SC)
- History
Uruguay
Strongest usable evidence: Agency, at 72.0. Raise Building first, at 33.3. Coordination needs more evidence: confidence is 0.37.
Raise, lowest first
| Dimension | Confidence | Score |
|---|---|---|
| Building | 0.57 | 33.3 |
| Learning | 0.55 | 40.8 |
| Anticipation | 0.46 | 43.4 |
| Adaptability | 0.46 | 49.0 |
Measure before managing
| Dimension | Confidence | Score |
|---|---|---|
| Coordination | 0.37 | 81.5 |
| Shared Purpose | 0.43 | 56.3 |
| Experimentation | 0.44 | 29.1 |
These lists are the country's capability agenda, computed from the scores. Read the full agenda. It names comparable evidence from other countries and the 18 gaps in the registry.
Why this country is included: Small state with the strongest institutional trust in the region.
Read Uruguay 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 | 0.37 | 3 of 5 | 0.78 | no trend | no data | no estimate | |
| Agency | 0.56 | 4 of 5 | 0.75 | no trend | no data | no estimate | |
| Trust | 0.50 | 5 of 7 | 0.85 | no trend | no data | no estimate | |
| Shared Purpose | 0.43 | 3 of 6 | 0.94 | -6.0(2) | 65.0 | +8.7 | |
| Adaptability | 0.46 | 3 of 6 | 1.00 | no trend | 53.0 | +4.0 | |
| Anticipation | 0.46 | 2 of 4 | 0.96 | +14.5(2) | 51.0 | +7.6 | |
| Learning | 0.55 | 3 of 4 | 0.81 | no trend | no data | no estimate | |
| Building | 0.57 | 4 of 6 | 0.90 | -1.5(3) | no data | no estimate | |
| Experimentation | 0.44 | 6 of 9 | 0.74 | no trend | 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?
+14.5 over 10 years, from 28.9 in 2016 to 43.4 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
- 80.147index 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
0.7 % of GDP, rank 48 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), 2024
938 per million people, rank 53 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
4,641 per million people, rank 53 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
- 51.0 institutionalist@claude-opus-5-5, self-confidence 0.45
Strong statistics, an OPP planning unit and the cross-party energy transition and Plan Ceibal show long-horizon choices carried by institutions across governments. Research output is modest, which keeps it near the middle; the panel agrees and I hold.
- 51.0 bottom_up@claude-opus-5-5, self-confidence 0.45
Hold within a tight panel. The cross-party energy transition, Plan Ceibal and the OPP foresight unit show prepared foresight that the modest article count misses; good statistics support it.
- 51.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.40
Strong statistics and cross-party long-horizon choices such as the energy transition are conversion of capacity into planning, not income. Article output is modest, so I stay only a little above the 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
- 3.232per 1,000 aged 15-64
- Year
- 2024. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.BUS.NDNS.ZS)
- History
- Raw value
- 6.5days
- Year
- 2019. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.REG.DURS.MA.DY)
- History
- Raw value
- 5count
- 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
- 8.2mean 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), 2024
92 % of population, rank 30 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
73.7 % aged 15+, rank 62 of 122. Adults with an account at a bank or mobile money provider.
A condition, not scored: holding an account is the precondition for almost any economic action, not the action (D122). Global Findex, published every three years.
Credit to the private sectorWorld Bank (FS.AST.PRVT.GD.ZS), 2025
30.8 % of GDP, rank 83 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
- 96hours
- Year
- 2019. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (TRD.ACRS.BRDR.EXPT.BRDR.COMP.HR.DB1619)
- History
- Raw value
- 97.801percentage points from approved budget
- Year
- 2021. 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
- 0.845index 0-1
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- V-Dem (v2x_cspart)
- History
- one year
Public-private collaboration
direct capability measureno dataset exists, 1 record- Raw value
- no dataindex 0-100
- Year
- no data
- Normalized
- no data
- Source
- none
- History
- no data
Note: No comparable dataset. PPP investment databases measure infrastructure finance, not collaboration capacity.
Behavioral check, not scored
Each number below is published beside the score and stays out of it. It is not in the frame, the average, the indicator count or the confidence.
Customs clearance time for exportsWorld Bank (IC.CUS.DURS.EX), 2024
2.934 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.
SNIG, universal individual cattle traceability
Uruguay required producers to register every calf in a national traceability system from 2006, and by October 2011 the registry covered 100 percent of the herd, 11.75 million live cattle, while identification tags reached more than 45,000 producers each year.
11,750,000 cattle, live cattle registered and individually identified, 2011-10. 45,000 producers, producers receiving identification tags each year, 2011. Presidency of Uruguay, SNIG traceability report, retrieved 2026-08-30.
How it worked: The agriculture ministry made lifetime identification compulsory, issued paired visual and electronic tags, reused the existing producer register and enlisted the postal service to deliver tags to farms, while producers and processors recorded every movement through one national system.
Limits: A complete administrative register does not prove that every movement is reported correctly, that inspectors can reconcile cattle with the database, or that the commercial benefit exceeds the public and producer cost. The source is a government report from 2011, and the collaboration rests on a legal obligation rather than voluntary agreement, so it evidences coordinated national implementation more strongly than mutual public-private agenda-setting.
ANII Alianzas para la Innovación
Uruguay's national research and innovation agency ANII began co-funding joint academia-firm projects through Alianzas para la Innovación in 2009 and had signed 29 such contracts, committing US$3.85 million and drawing US$1.71 million from firms, by 30 June 2016; in 2023 it approved 23 projects joining the productive sector and academia, matching the 2022 record.
29 projects, alianzas para la innovación contracts signed since 2009, 2016-06-30. 23 projects, projects approved in the year involving the productive sector with academia, 2023. Agencia Nacional de Investigación e Innovación, Unidad de Evaluación y Monitoreo, evaluation of Alianzas para la Innovación and Redes Tecnológicas Sectoriales, retrieved 2026-10-01.
How it worked: ANII, the state innovation agency, offered non-repayable co-funding only to projects where a firm brought a problem and money and a university or research institute brought the research team, with a firm employee placed inside that team.
Limits: The scale is small: 29 contracts in seven years and US$3.85 million committed is a national instrument, but a thin one, and it says little about how much Uruguayan universities and firms collaborate outside ANII funding. Both figures are the agency reporting on its own instruments, the first from its internal evaluation unit and the second from a year-end press note. The 2023 figure is not limited to Alianzas: it counts every approved project the agency describes as joining firms with academia, under its technology-transfer line, so the two metrics are not one series and no trend can be drawn between them. Signed contracts measure funding decisions, not completed research, patents, products or lasting relationships; the evaluation shows only 14 of the 29 finished by mid-2016. The evaluation report is undated on its cover and the date comes from its own tables.
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
- 725days
- Year
- 2019. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (ENF.CONT.DURS.DY)
- History
- Raw value
- 1.278% of firms
- Year
- 2024. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.FRM.BRIB.ZS)
- History
- Raw value
- 3.552scale 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
- 14.5% 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
- 22.4% 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
24.5 % 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
- 0.599index 0-1
- Year
- 2020. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (HD.HCI.OVRL)
- History
- Raw value
- 32.073% 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
- 0.823ratio 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 % gross, rank 24 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), 2023
4.8 % of GDP, rank 45 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
23.9 % of secondary, rank 28 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.
INEFOP, the tripartite national training institute
Uruguay's Instituto Nacional de Empleo y Formación Profesional, created by Law 18.406 in 2008 and governed by government, employers and workers, grew from 9,696 training, guidance and technical-assistance places in 2009 to 114,364 in 2019, and its director reported that more than 50,000 people took its training in 2023.
50,000 people, people who took inefop training (more than), 2023. 114,364 places, inefop training, guidance and technical-assistance places, national total, 2019. Presidency of Uruguay, Comunicación Presidencial, statement of INEFOP's director general, retrieved 2026-10-01.
How it worked: Parliament placed the national labour-retraining fund in a non-state public body governed jointly by the government, employers and unions, which buys courses from training providers and steers them to the unemployed, to workers in firms and to people outside Montevideo.
Limits: The 2023 figure is a rounded "more than 50,000" spoken by the institute's own director in an interview relayed by the presidency's press office, not a published statistical table. The 2019 figure counts places, not people: it includes guidance and technical assistance as well as courses, can count one person several times, and is read from data labels on a chart in a PDF. The two numbers are in different units and must not be read as a fall from 114,364 to 50,000, and the jump from 47,590 in 2016 to 112,183 in 2017 coincides with a change in the source behind the series, so the trend before and after 2017 is not continuous either. The same report also claims "more than 120,000" annual users, which does not match its own chart. Fifty thousand people is roughly 2 percent of Uruguay's adult population, so INEFOP is a national delivery channel but carries only a small part of adult participation in training, and neither number says whether anyone completed a course, learned anything or found work. Half of 2023 participants were unemployed and the reported age band is 20 to 35, so the reach is skewed young.
Experimentation
How easily can new approaches be attempted, tested, abandoned, and improved?
No trend is shown because too few indicators have values at both ends. The rows below still show the available history.
- Raw value
- 23per million people
- Year
- 2017. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IP.PAT.RESD)
- History
- Raw value
- 4835per million people
- Year
- 2021. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IP.TMK.RSCT)
- History
- Raw value
- 53per million people
- Year
- 2017. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IP.IDS.RSCT)
- History
- Raw value
- 51892per 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.
- Raw value
- 26.2% aged 18-64
- Year
- 2023. The rail runs from 1960 to 2026.
- Normalized
- Source
- Global Entrepreneurship Monitor (APS key indicators, TEA rate)
- History
- one year
- Raw value
- 48.3% not deterred
- Year
- 2023. The rail runs from 1960 to 2026.
- Normalized
- Source
- Global Entrepreneurship Monitor (APS key indicators, fear of failure rate)
- History
- one year
Firms through regulatory sandboxes
direct capability measureno dataset exists- Raw value
- no datafirms per million people
- Year
- no data
- Normalized
- no data
- Source
- national regulators
- History
- no data
Note: Redefined 2026-10-02 (D152). The row asked for the number and breadth of live sandboxes, which is a policy stock: a regime can exist with nobody in it. It now counts what passes through: firms a regulator let test under relaxed rules, and firms that came out, authorised, withdrawn or failed. Regulators publish cohort lists and exit reports one by one. The evidence corpus holds 22 records against this row, most of them counts of firms admitted or exited, each on the definition and window of its own regulator, and no register assembles them on one definition (O1 triage sweep, 2026-10-01). A realistic candidate for Envisioning to build from those lists. Wireable on a register that counts admissions and completions on one definition for half the frame or more.
University spinouts
direct capability measureno dataset exists- Raw value
- no dataper million people
- Year
- no data
- Normalized
- no data
- Source
- national TTO associations
- History
- no data
Note: Reported nationally with incompatible definitions of what counts as a spinout.
Business share of R&D
capability inputretired, see notes- Raw value
- no data% of R&D
- Year
- no data
- Normalized
- no data
- Source
- OECD MSTI / RICYT
- History
- no data
Note: Retired 2026-10-02. The only working source, OECD MSTI joined with RICYT for Latin America, covers 34 of the 53 countries then in the frame, but the row reads the make-up of a spending stock: who performs the R&D a country pays for. R&D spending itself is a condition since D122, and the share is high both where business research is large (Israel) and where total research is tiny and one firm dominates it (Thailand). State enterprises count as business, so China and Vietnam read their ownership model. UIS stopped publishing the series in 2023. Firms trying new things are read through patents, trademarks, designs and entrepreneurship instead. See D142.
Adaptability
How effectively can the system respond when circumstances change?
No trend is shown because too few indicators have values at both ends. The rows below still show the available history.
- Raw value
- 7.516% of labour force
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (SL.UEM.TOTL.ZS)
- History
Long-term unemployment share
downstream outcomemissing- Raw value
- no data% of unemployed
- Year
- no data
- Normalized
- no data
- Source
- ILOSTAT (DF_UNE_TUNE_SEX_AGE_DUR_NB)
- History
- no data
Note: Derived from ILOSTAT unemployment by duration: 12 months or more over the unemployed whose duration is stated, both sexes, age 15 and over, a labour force survey preferred where ILOSTAT holds more than one. Read it beside the unemployment rate, because a high share means two different things: slow reallocation, where people who lose work stay out of it (South Africa, Kenya, Nigeria), or a small residual pool in a tight market, where the few left unemployed are the hardest to place (Switzerland, Japan). Some national questionnaires cannot record a long search, so the adapter runs a plausibility gate on every country: it drops a year under 3%, every year of a survey whose median is under 3%, a one- or two-year spike of more than 15 points that the series returns from, and a latest year that jumps more than 15 points with no later year to confirm it, then emits the latest year that survives. Every dropped value is logged in the source memo. See D120.
- Raw value
- 0.292index 0-1, lower = more diversified
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- UNCTAD (US.ConcentDiversIndices)
- History
- one year
- Raw value
- 1.09% 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
77.5 % aged 15+, rank 29 of 125. Share of the working-age population in the labour force.
A condition, not scored: how much of the population is in the labor force at all is what a country has to reallocate, a level set by norms, schooling and age, not a record of it reallocating (D141). Participation norms confound it, especially for India. Adaptability reads reallocation through long-term unemployment and export diversification instead.
Fixed broadband subscriptionsWorld Bank (IT.NET.BBND.P2), 2024
33 per 100 people, rank 33 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), 2023
9.7 % of output, rank 61 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
32.7 % of employment, rank 38 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.
Partial and flexible unemployment subsidy, 2020-2021
Uruguay's labour ministry created partial and flexible unemployment-subsidy modalities by resolution after the health emergency of 13 March 2020, and the social security bank (BPS) paid 12,773 beneficiaries under them in April 2020, while total unemployment-subsidy beneficiaries rose from 45,937 in February to a record 185,769 in May.
12,773 beneficiaries, beneficiaries under the new partial and flexible modalities in their first month, 2020-04. 185,769 beneficiaries, total unemployment-subsidy beneficiaries at the 2020 peak, 2020-05. Banco de Previsión Social, Asesoría General en Seguridad Social, Comentarios de Seguridad Social No. 85 (March 2022), Impacto del COVID-19 en el subsidio por desempleo, retrieved 2026-10-02.
How it worked: The labour ministry used its resolution power to open the unemployment subsidy to workers whose hours were cut rather than suspended, and BPS paid it through the claims channel employers already used.
Limits: BPS is analysing a benefit it pays, from its own administrative records, and the numbers are inside a PDF (Cuadro 2 on page 6 and Cuadro 4 on page 13 of the file). Most of the surge went through the ordinary subsidy for total suspension, which already existed; the new modalities, set by labour ministry resolutions 143/20, 163/20, 233/20 and 1024/20 (partial) and 2225/20, 21/21 and 97/21 (flexible), peaked at 30,221 beneficiaries in June 2020 and fell to 10,549 by December 2021. The record evidences rules changed and paid within weeks, not jobs kept: a beneficiary count is a monthly stock, and the report does not estimate how many of those workers returned to their jobs. The end date of the special regime is not in this source.
Plan Nacional de Relocalizaciones, moving households out of flood-prone land
Uruguay's national housing directorate relocated 2,618 households from flood-prone or contaminated land between 2015 and 2020 under the Plan Nacional de Relocalizaciones and related agreements with departmental governments, against a target of 3,500 to 6,000 households by 2025.
2,618 households, households relocated (cumulative), 2020. 2,245 households, households relocated (cumulative, previous reported value), 2019. Ministerio de Ambiente, NDC monitoring technical sheet No. 61 'Relocalizaciones' (March 2021, version 1.1), indicator compiled by the Dirección Nacional de Vivienda (DINAVI, MVOT) from administrative records, retrieved 2026-10-02.
How it worked: The national housing directorate co-finances departmental relocation projects that move households from land that floods repeatedly into new or purchased homes, with multidisciplinary teams handling each move and the department responsible for keeping the vacated land unoccupied.
Limits: The number is in a six-page PDF: page 1 gives 'Último valor disponible 2.618 (2020)' and page 4 the version history (2,245 for 2019, 2,618 for 2020); pages 5 and 6 give the yearly totals 294, 442, 660, 438, 411 and 373 for 2015 to 2020, which sum to 2,618. The headline on page 1 ('A 2025 se han relocalizado al menos entre 3.500 y 6.000 hogares') is the 2025 target written as if achieved, and the sheet's own data show 2,618 by 2020, below the low end of that target; no later official value was found, so whether the target was met is not shown. The count mixes flood-prone and contaminated land and does not split them, and it includes relocations after specific floods ('Inundados 2015', 'Inundados 2017'), which are recovery rather than preparation. It counts households, not people, and says nothing about whether vacated land stayed empty, which the sheet itself names as a condition that depends on departmental enforcement. The plan predates 2015, but the sheet's series starts with the 2015 to 2019 housing plan, so 'started' is the first year counted, not the plan's creation. The sheet states the plan's objective as reversing social segregation and territorial fragmentation, so it is a settlement and housing policy as much as a risk-reduction one; it is filed here because the same sheet classes it as a climate-adaptation measure. Status 'operating' rests on the sheet naming the 2020 to 2024 five-year housing plan as the plan's current frame; no count after 2020 was found. The sheet is a government monitoring document for Uruguay's climate pledge, self-reported by the ministry that runs the programme.
Panel estimate, round 2, how this layer works
- 53.0 institutionalist@claude-opus-5-5, self-confidence 0.40
Institutions that survive alternation carried recovery from the 2002 banking crisis, the shift to renewable power and the 2023 drought response, which lifts the score above the indicator. Concentration in agricultural commodities and few new export products limit it, so I hold within a point.
- 54.0 bottom_up@claude-opus-5-5, self-confidence 0.40
Small upward revision: panelist C's examples of the 2002 crisis recovery and the 2023 drought response add shock-absorption evidence I had not weighed. Few new export products keep it in the middle band.
- 51.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.35
Recovery from past shocks and the energy matrix shift show adjustment through durable institutions, but new export products are few and unemployment is mid-frame. I sit slightly above the indicator score and below 55.
Building
How capable is the country of turning plans and knowledge into functioning systems?
-1.5 over 10 years, from 16.9 in 2016 to 15.4 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
- 9.957% of GDP
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (NV.IND.MANF.ZS)
- History
- Raw value
- 9.842% 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
- 86.957score 0-100
- Year
- 2019. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.ELC.TIME.DFRN)
- History
- Raw value
- 0.131index
- 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, 4 records- Raw value
- no data% overrun
- Year
- no data
- Normalized
- no data
- Source
- none
- History
- no data
Note: The single best measure of execution capability and there is no comparable international dataset. Assembling one is a defensible Envisioning project. Building mixes industrial output with state delivery capacity, and this indicator carries the delivery side: the other six indicators cannot see a national programme that was delivered. Documented deliveries are recorded in data/evidence and never scored, see D20.
Firm scale-up rate
direct capability measureno dataset exists- Raw value
- no data% of firms
- Year
- no data
- Normalized
- no data
- Source
- OECD DynEmp
- History
- no data
Note: OECD business dynamics work covers members irregularly. Nothing comparable for India, Brazil or South Africa.
Conditions, not scored
What the country has to work with on this capability. The values are shown as the source published them and are not part of the score, the confidence or the trend. The rank counts the countries with a value, best first.
Output per workerWorld Bank (SL.GDP.PCAP.EM.KD), 2025
66,348 constant 2021 PPP $, rank 44 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.
Electricity supply rebuilt on renewable sources
Uruguay rebuilt its electricity supply between 2010 and 2017 through public tenders and long-term contracts, and in 2025 fossil fuels produced 293 GWh of the 15,855 GWh generated, so 98.2 percent came from hydro, wind, biomass and solar.
98.2 % of generation, renewable share of electricity generation, 2025. Ministry of Industry, Energy and Mining, national energy balance, retrieved 2026-08-26.
How it worked: Long-term power purchase agreements at fixed prices, awarded by competitive auction, with the state utility as a single creditworthy buyer carrying the offtake risk.
Limits: The share is computed from the published generation series by source and is not itself a published headline figure. A generation mix is an outcome, and it hides the cost and schedule record of the projects behind it. A wet or dry year moves the hydro share by several points, so one year is not the programme.
Plan Ceibal, one connected laptop per child
Uruguay gave a connected laptop to every child in public primary school from 2007, the first country to do it nationally, and the household survey found a Ceibal computer in the homes of 35.8 percent of the population in 2018.
35.8 % of people, people with a plan ceibal computer in the household, 2018. Ministry of Social Development, from the national household survey, retrieved 2026-08-26.
How it worked: A dedicated agency outside the education ministry procured devices and connectivity at national scale and used schools as the distribution channel.
Limits: Household reach peaked at 40.1 percent in 2014 and the series stops in 2018, so this number says nothing about the programme now. A device in the home measures distribution and says nothing about learning. The record is here because the delivery is documented and the measure of it is weak.
AFE passenger rail and network contraction
Uruguay's state railway suspended passenger service in January 1988 to focus on freight; by 1990 about half of the national network had been declared non-operational, leaving 1,484 kilometres active from a 2,998-kilometre network, before passenger services returned only partially in 1993.
1,484 kilometres, rail network remaining active after the contraction, 1990. 2,998 kilometres, rail network before the contraction, 1985. Ministry of Transport and Public Works, National Railway Network Statement 2025, retrieved 2026-08-31.
How it worked: The state railway concentrated scarce operating capacity on freight, suspended passenger service and then allowed half the network to fall outside the active system; the later partial restart could not simply recreate the connections and maintenance routines that had been dropped.
Limits: Track kilometres are an infrastructure count, not a measure of trains, reliability, passengers or freight capacity, and the source does not establish that every kilometre declared non-operational was physically removed. Passenger service returned on selected routes in 1993, so this is a contraction and partial recovery rather than a permanently closed railway. The network statement is a government description and does not evaluate the decision's social or economic effects.
Línea Rivera rail rehabilitation, and its decay
Uruguay's transport ministry signed a FOCEM-funded contract in November 2013 to rehabilitate 422 km of the Pintado to Rivera line within 36 months, cut the scope to the 310 km between Paso de los Toros and Rivera in January 2017, took the last provisional handover in May 2019, and by June 2025 reported the line in a degraded state with freight limited to 10 to 25 km/h against its set maximum of 40 km/h and no freight carried in recent years.
10 km/h, lowest freight speed under the line's standing speed restrictions, 2025-06. 40 km/h, maximum freight speed set for the rehabilitated rivera line, 2025-06. Ministry of Transport and Public Works, reply to the Chamber of Representatives (Oficio 615/2025, technical report of the National Directorate of Rail Transport), retrieved 2026-10-01.
How it worked: The transport ministry used a regional cohesion fund to finance a capital rehabilitation, contracted a state-owned rail company to deliver it, and then let the maintenance contract lapse in 2021 without a successor, so the rebuilt track degraded within four years.
Limits: The source is a scanned ministerial reply to a parliamentary information request, so the quoted text comes from the PDF's OCR layer (it names the contractor "CEU" where the contracting firm was CFU), and checking it means reading the scan. The two speeds measure the asset's condition, not cost or schedule, which is what the construct asks for. The schedule slip is our computation: 36 months from a November 2013 signature against a last provisional handover in May 2019, about two and a half years late, and on a scope that had been cut from 422 to 310 km in January 2017, so a like-for-like slip cannot be stated. The final cost of the works was not found at an official URL: only the 2013 budget of US$75 million and a CND contract figure of 1,462 million pesos, which cannot be compared without exchange-rate and indexation assumptions, so no cost overrun is claimed. The 10 km/h figure is the bottom of a range of speed restrictions and does not apply along the whole line. The absence of freight reflects demand and operator choices as well as track condition, since the pulp traffic that justified the Ferrocarril Central runs south of Paso de los Toros. This is a different delivery from the 1988 to 1990 contraction recorded in ury-rail-network, but both concern AFE's network, and the record leans on the same ministry describing its own asset.