- Raw value
- 1.695% of GDP
- Year
- 2023
- Normalized
- Source
- World Bank (GB.XPD.RSDV.GD.ZS)
- History
Portugal
Strongest usable evidence: Adaptability, at 77.0. Raise Building first, at 33.9. Experimentation needs more evidence: confidence is 0.18.
Raise, lowest first
| Dimension | Confidence | Score |
|---|---|---|
| Building | 0.62 | 33.9 |
Measure before managing
| Dimension | Confidence | Score |
|---|---|---|
| Experimentation | 0.18 | 30.3 |
| Trust | 0.26 | 36.8 |
| Shared Purpose | 0.30 | 76.3 |
| Coordination | 0.39 | 91.6 |
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 25 gaps in the registry.
Why this country is included: Southern European comparison with strong social trust and a long convergence path.
Read Portugal 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.
0 to 100 is a position inside the frame every country builds together. 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. It does not mean 10 percent of a capability.
| Coordination | 0.39 | 0.60 | 0.81 | no trend | |
| Adaptability | 0.47 | 0.50 | 1.00 | +15.6(4) | |
| Shared Purpose | 0.30 | 0.33 | 0.96 | +1.8(2) | |
| Agency | 0.61 | 0.75 | 0.86 | +9.6(4) | |
| Anticipation | 0.64 | 0.71 | 0.95 | +14.3(5) | |
| Learning | 0.52 | 0.71 | 0.77 | +4.4(2) | |
| Trust | 0.26 | 0.40 | 0.71 | no trend | |
| Building | 0.62 | 0.71 | 0.92 | +0.3(4) | |
| Experimentation | 0.18 | 0.25 | 0.75 | +4.1(2) |
How to read this page
Each dimension has a score from 0 to 100. It shows where this country sits among all 53 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, and the places where these numbers are known to be wrong about the world are on the limits page.
Anticipation
How capable is the country of identifying and preparing for emerging change?
+14.3 over 10 years, from 52.5 in 2016 to 66.8 on 5 indicators seen in both years.
+30.0 over 20 years, from 22.3 in 2006 to 52.3 on 3 indicators seen in both years.
+42.1 over 30 years, from 10.2 in 1996 to 52.3 on 3 indicators seen in both years.
Trends use fewer indicators than the current score and use today's frame. A longer span reaches further back.
- Raw value
- 5983.27per million people
- Year
- 2023
- Normalized
- Source
- World Bank (SP.POP.SCIE.RD.P6)
- History
- Raw value
- 18225.29articles per million people
- Year
- 2023
- Normalized
- Source
- World Bank (IP.JRN.ARTC.SC)
- History
- Raw value
- 90.708index 0-100
- Year
- 2024
- Normalized
- Source
- World Bank (IQ.SPI.OVRL)
- History
- Raw value
- 28710.253per million people
- Year
- 2024
- Normalized
- Source
- World Bank (IT.NET.SECR.P6)
- History
Government foresight capacity
direct capability measureno dataset exists- Raw value
- no dataindex 0-100
- Year
- —
- Normalized
- no data
- Source
- none
- History
- —
Note: No comparable international dataset. OECD and UN work is descriptive, not scored. Envisioning would have to build this.
Long-horizon research share
capability inputno dataset exists- Raw value
- no data% of R&D
- Year
- —
- Normalized
- no data
- Source
- OECD MSTI
- History
- —
Note: Published by OECD for members only. Missing for India, South Africa, Brazil in comparable form.
Agency
How able are individuals and organizations to turn an intention into action?
+9.6 over 10 years, from 55.8 in 2016 to 65.4 on 4 indicators seen in both years.
+22.0 over 20 years, from 35.6 in 2006 to 57.6 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
- 10.995per 1,000 aged 15-64
- Year
- 2024
- Normalized
- Source
- World Bank (IC.BUS.NDNS.ZS)
- History
- Raw value
- 6.5days
- Year
- 2019
- Normalized
- Source
- World Bank (IC.REG.DURS.MA.DY)
- History
- Raw value
- 6count
- Year
- 2019
- Normalized
- Source
- World Bank (IC.REG.PROC.MA.NO)
- History
- Raw value
- 88.487% of population
- Year
- 2024
- Normalized
- Source
- World Bank (IT.NET.USER.ZS)
- History
- Raw value
- 91.397% aged 15+
- Year
- 2024
- Normalized
- Source
- World Bank (FX.OWN.TOTL.ZS)
- History
- Raw value
- 77.118% of GDP
- Year
- 2024
- Normalized
- Source
- World Bank (FS.AST.PRVT.GD.ZS)
- History
Adult digital skills
direct capability measureno dataset exists- Raw value
- no data% of adults
- Year
- —
- Normalized
- no data
- Source
- ITU
- History
- —
Note: ITU collects this but coverage across these ten countries is broken and the task lists differ by year.
Perceived control over life
perception proxyno dataset exists- Raw value
- no datamean 1-10
- Year
- —
- Normalized
- no data
- Source
- World Values Survey
- History
- —
Note: WVS wave 7 covers most of these countries but fieldwork years differ by up to six years, and Singapore is thin.
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
- —
- Normalized
- no data
- Source
- World Bank (GOV_WGI_GE.EST)
- History
- —
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
- —
- Normalized
- no data
- Source
- World Bank (GOV_WGI_RQ.EST)
- History
- —
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
- —
- Normalized
- no data
- Source
- World Bank (LP.LPI.OVRL.XQ)
- History
- —
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
- Normalized
- Source
- World Bank (TRD.ACRS.BRDR.EXPT.BRDR.COMP.HR.DB1619)
- History
- Raw value
- 103.034percentage points from approved budget
- Year
- 2022
- 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
- —
- Normalized
- no data
- Source
- Global Innovation Index
- History
- —
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
- 0.825index 0-1
- Year
- 2024
- Normalized
- Source
- V-Dem (v2x_cspart)
- History
- —
Public-private collaboration
direct capability measureno dataset exists- Raw value
- no dataindex 0-100
- Year
- —
- Normalized
- no data
- Source
- none
- History
- —
Note: No comparable dataset. PPP investment databases measure infrastructure finance, not collaboration capacity.
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.
Portugal's CoLAB applied-research network
Portugal's Agência Nacional de Inovação reported 41 recognized Collaborative Laboratories (CoLABs), and its 2024 innovation report recorded 639 highly qualified staff contracted by CoLABs, 32 percent of them PhDs.
41 CoLABs, recognized collaborative laboratories, 2024. 639 staff, highly qualified staff contracted by colabs, 2024. Agência Nacional de Inovação, Relatório Nacional de Inovação 2024, retrieved 2026-08-31.
How it worked: Portugal gives mission-led applied-research organisations a formal recognition and monitoring route, then combines public base or competitive funding with industry-facing agendas so researchers have an institution whose job is to carry work across the university-business boundary.
Limits: The network and staffing totals show institutional reach, not research quality, business adoption, additionality or durable jobs. CoLABs are separate private non-profit entities and report through the programme; the figures do not cover every university-industry link or establish that public recognition caused the reported staffing.
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
- —
- Normalized
- no data
- Source
- World Bank (GOV_WGI_RL.EST)
- History
- —
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
- —
- Normalized
- no data
- Source
- World Bank (GOV_WGI_CC.EST)
- History
- —
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
- 755days
- Year
- 2019
- Normalized
- Source
- World Bank (ENF.CONT.DURS.DY)
- History
Intentional homicide rate
downstream outcomeretired, see notes- Raw value
- no dataper 100,000 people
- Year
- —
- Normalized
- no data
- Source
- World Bank (VC.IHR.PSRC.P5)
- History
- —
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
- 16.9% agreeing
- Year
- 2022
- Normalized
- Source
- Joint EVS/WVS (A165)
- History
- —
Trust in public institutions
perception proxyno dataset exists- Raw value
- no data% expressing confidence
- Year
- —
- Normalized
- no data
- Source
- OECD Trust Survey / WVS
- History
- —
Note: The OECD survey covers members only. Mixing it with WVS items for India and South Africa would break comparability.
Cooperation beyond the in-group
perception proxyno dataset exists- Raw value
- no data% expressing trust
- Year
- —
- Normalized
- no data
- Source
- World Values Survey
- History
- —
Note: The distinction that makes this dimension worth measuring. Same licensing obstacle as generalised trust.
Court case clearance rate
downstream outcomeno dataset exists- Raw value
- no data% of incoming cases
- Year
- —
- Normalized
- no data
- Source
- CEPEJ / OECD / national court statistics
- History
- —
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.
Bribery incidenceWorld Bank (IC.FRM.BRIB.ZS), 2023
7.674 % of firms, lower is better. Firms asked for at least one bribe payment across six public transactions covering utilities, permits, licences and taxes.
Experience rather than reputation: the question asks whether the responding firm was itself asked, so it is not the perception composite D23 retired. It covers 50 of 53 countries and 45 of them at 2023 or later. It is not scored because it carries income. On a rank-normalised estimate it correlates with log GDP per capita at about 0.66 alone and takes the two-indicator Trust dimension to about 0.53, against 0.14 for contract enforcement days by itself, which is a larger wealth contribution than the one D44 retired an indicator over. Read it beside the score, not as the score.
Learning
How effectively does the country acquire, distribute, and update knowledge?
+4.4 over 10 years, from 56.2 in 2016 to 60.6 on 2 indicators seen in both years.
+2.8 over 20 years, from 47.3 in 2006 to 50.1 on 2 indicators seen in both years.
Trends use fewer indicators than the current score and use today's frame. A longer span reaches further back.
- Raw value
- 0.769index 0-1
- Year
- 2020
- Normalized
- Source
- World Bank (HD.HCI.OVRL)
- History
- Raw value
- 77.678% gross
- Year
- 2023
- Normalized
- Source
- World Bank (SE.TER.ENRR)
- History
- Raw value
- 4.552% of GDP
- Year
- 2022
- Normalized
- Source
- World Bank (SE.XPD.TOTL.GD.ZS)
- History
- Raw value
- 23.878% of secondary
- Year
- 2018
- Normalized
- Source
- World Bank (SE.SEC.ENRL.VO.ZS)
- History
- Raw value
- 39.516% of firms
- Year
- 2023
- 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
- —
- Normalized
- no data
- Source
- Eurostat / OECD PIAAC
- History
- —
Note: The best available measure of continuous learning capacity, and it exists only for European and OECD members.
Research citation impact
downstream outcomeno dataset exists- Raw value
- no dataratio to world average
- Year
- —
- Normalized
- no data
- Source
- OpenAlex
- History
- —
Note: Computable from OpenAlex, which is open and inspectable. This is the highest-value gap to close next.
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.
Programa Qualifica and Portugal's adult-learning network
Portugal's ANQEP reported 1,025,569 cumulative Qualifica registrations by December 2023; 90 percent received a training or recognition, validation and certification referral, and 510,113 registrants obtained some certification.
1,025,569 registrations, cumulative qualifica registrations, 2023-12. 510,113 people, registrants receiving a certification, 2023-12. ANQEP, Plano de Atividades 2024, retrieved 2026-08-31.
How it worked: A national network of Centros Qualifica gives adults a common entry point for counselling, recognition and validation of prior learning (RVCC), formal training and a portable qualification record, linking fragmented providers to a visible pathway.
Limits: These are cumulative programme reach and certification totals, not an annual participation rate, completion quality, learning gain or employment and wage effect. The count can include partial certifications and administrative registrations, and it does not identify how many participants would have qualified without Qualifica; ANQEP reports the programme's own administrative data.
Novas Oportunidades, and the qualification-policy interruption
ANQEP's national review records 1,568,490 adult enrolments in Novas Oportunidades between 2006 and July 2011; after the initiative's peak and a period of disinvestment, Portugal launched Qualifica in 2017 and rebuilt a network of more than 300 Centros Qualifica.
1,568,490 adult enrolments, adult enrolments in novas oportunidades, 2011-07. 300 centres (more than), centros qualifica in the replacement network, 2017. ANQEP, Plano Nacional de Literacia de Adultos, retrieved 2026-08-31.
How it worked: Novas Oportunidades scaled adult qualification through recognition and validation of prior learning (RVCC), adult education and training (EFA) routes and a national delivery network; when political and fiscal support receded, the infrastructure contracted and a successor programme had to rebuild entry points.
Limits: Enrolment is a reach measure, not completed learning, quality, labour-market effect or value for money. The review's 1.57 million figure covers a high-activity period, while the later 300-plus-centre figure describes the replacement network rather than retained Novas Oportunidades capacity; the record evidences interruption and rebuilding, not a causal estimate of the policy's return.
Experimentation
How easily can new approaches be attempted, tested, abandoned, and improved?
+4.1 over 10 years, from 26.2 in 2016 to 30.3 on 2 indicators seen in both years.
+12.8 over 20 years, from 17.5 in 2006 to 30.3 on 2 indicators seen in both years.
Trends use fewer indicators than the current score and use today's frame. A longer span reaches further back.
- Raw value
- 711per million people
- Year
- 2021
- Normalized
- Source
- World Bank (IP.PAT.RESD)
- History
- Raw value
- 32344per million people
- Year
- 2021
- Normalized
- Source
- World Bank (IP.TMK.RSCT)
- History
Venture capital investment
direct capability measureno dataset exists, 1 record- Raw value
- no data% of GDP
- Year
- —
- Normalized
- no data
- Source
- OECD / national VC associations
- History
- —
Note: Still a gap after a direct check on 2026-08-26. The OECD SME and Entrepreneurship Financing scoreboard is the only inspectable aggregate and it carries venture capital for 6 of these 16 countries, in national currency rather than as a share of GDP, latest year 2022. Brazil, India, South Africa and Singapore are all absent, so wiring it would score the rich half of the set and lower coverage for the rest. Commercial databases cover the world and are not inspectable. Read A1 before treating this dimension as measured.
Early-stage entrepreneurial activity
direct capability measuremissing- Raw value
- no data% aged 18-64
- Year
- —
- Normalized
- no data
- Source
- Global Entrepreneurship Monitor (APS key indicators, TEA rate)
- History
- —
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
- —
- Normalized
- no data
- Source
- Global Entrepreneurship Monitor (APS key indicators, fear of failure rate)
- History
- —
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.
Regulatory sandbox activity
direct capability measureno dataset exists- Raw value
- no datacount
- Year
- —
- Normalized
- no data
- Source
- none
- History
- —
Note: Countable from primary sources but nobody maintains a comparable register. A realistic candidate for Envisioning to build.
University spinouts
direct capability measureno dataset exists- Raw value
- no dataper million people
- Year
- —
- Normalized
- no data
- Source
- national TTO associations
- History
- —
Note: Reported nationally with incompatible definitions of what counts as a spinout.
Business share of R&D
capability inputno dataset exists- Raw value
- no data% of R&D
- Year
- —
- Normalized
- no data
- Source
- UNESCO UIS
- History
- —
Note: UIS publishes this and it is a good candidate for the next ingestion adapter.
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.
Portugal Ventures, a public venture-capital bridge
Portugal Ventures, the public venture-capital company in the Banco Português de Fomento group, reports €233.2 million invested in 256 new companies since 2012 and €283 million under management.
233,200,000 EUR invested, invested since launch, 2026-08-31. 256 companies, new companies backed since launch, 2026-08-31. Portugal Ventures, institutional performance figures, retrieved 2026-08-31.
How it worked: A state-backed investor supplies pre-seed, seed and Series A capital, often alongside private investors, using staged minority investments and portfolio support to bridge companies that are too early for ordinary bank finance.
Limits: These are company-reported cumulative portfolio figures, not venture-capital investment as a share of GDP, additionality, exits, survival, jobs or a counterfactual. The homepage does not give a full reference-year methodology, and the totals can include private co-investment effects as well as Portugal Ventures' own capital.
Adaptability
How effectively can the system respond when circumstances change?
+15.6 over 10 years, from 61.4 in 2016 to 77.0 on 4 indicators seen in both years.
+20.4 over 20 years, from 56.6 in 2006 to 77.0 on 4 indicators seen in both years.
+13.5 over 30 years, from 58.3 in 1996 to 71.8 on 3 indicators seen in both years.
Trends use fewer indicators than the current score and use today's frame. A longer span reaches further back.
- Raw value
- 77.828% aged 15+
- Year
- 2025
- Normalized
- Source
- World Bank (SL.TLF.ACTI.ZS)
- History
- Raw value
- 6.164% of labour force
- Year
- 2025
- Normalized
- Source
- World Bank (SL.UEM.TOTL.ZS)
- History
Long-term unemployment share
downstream outcomeno dataset exists- Raw value
- no data% of unemployed
- Year
- —
- Normalized
- no data
- Source
- ILOSTAT
- History
- —
Note: Closer to reallocation speed than the headline rate: it asks whether people who lose work find new work. ILOSTAT publishes it; the World Bank API does not carry it.
- Raw value
- 45.244per 100 people
- Year
- 2024
- Normalized
- Source
- World Bank (IT.NET.BBND.P2)
- History
- Raw value
- 9.667% of output
- Year
- 2024
- Normalized
- Source
- World Bank (EG.ELC.LOSS.ZS)
- History
Export diversification
direct capability measureno dataset exists- Raw value
- no dataindex 0-1
- Year
- —
- Normalized
- no data
- Source
- UNCTAD
- History
- —
Note: UNCTAD publishes the concentration index and it is computable. Another good candidate for the next adapter.
Disaster preparedness and recovery
direct capability measureno dataset exists- Raw value
- no dataindex 0-100
- Year
- —
- Normalized
- no data
- Source
- INFORM / UNDRR
- History
- —
Note: INFORM is largely a hazard-exposure index, so using it here would measure geography rather than capability.
Institutional responsiveness
direct capability measureno dataset exists, 1 record- Raw value
- no dataindex 0-100
- Year
- —
- Normalized
- no data
- Source
- none
- History
- —
Note: No dataset exists. Measurable in principle from legislative and regulatory timestamps, which no one has assembled comparably.
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.
Chave Móvel Digital and Portugal's digital identity layer
Portugal's digital-government platform reported 4.4 million active Chave Móvel Digital credentials and 141 million authentications by 23 October 2025, with 490 entities using Autenticação.gov.
4,400,000 active digital identities, active chave móvel digital credentials, 2025-10-23. 141,000,000 authentications, authentications through autenticação.gov, 2025-10-23. Portugal Digital / ARTE, Identidade Digital statistics, retrieved 2026-08-31.
How it worked: Portugal made one state-certified mobile credential usable for authentication and signatures across public services and participating private services, so each new service can reuse an existing identity rather than build a separate account system.
Limits: These are administrative adoption and usage totals, not measures of service quality, inclusion, authentication success, fraud or trust. An active credential is not necessarily a unique active person, and the government platform reports the totals itself; the figures do not show whether citizens can complete the services they authenticate for.
Building
How capable is the country of turning plans and knowledge into functioning systems?
+0.3 over 10 years, from 23.2 in 2016 to 23.5 on 4 indicators seen in both years.
+1.3 over 20 years, from 31.7 in 2006 to 33.0 on 2 indicators seen in both years.
-3.5 over 30 years, from 36.5 in 1996 to 33.0 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
- 11.296% of GDP
- Year
- 2025
- Normalized
- Source
- World Bank (NV.IND.MANF.ZS)
- History
- Raw value
- 6.773% of manufactured exports
- Year
- 2024
- Normalized
- Source
- World Bank (TX.VAL.TECH.MF.ZS)
- History
- Raw value
- 89377.204constant 2021 PPP $
- Year
- 2025
- Normalized
- Source
- World Bank (SL.GDP.PCAP.EM.KD)
- History
Logistics infrastructure quality
perception proxyretired, see notes- Raw value
- no dataindex 1-5
- Year
- —
- Normalized
- no data
- Source
- World Bank (LP.LPI.INFR.XQ)
- History
- —
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
- 79.565score 0-100
- Year
- 2019
- Normalized
- Source
- World Bank (IC.ELC.TIME.DFRN)
- History
- Raw value
- 1.689index
- Year
- 2024
- Normalized
- Source
- World Bank (EF.EFM.UNIV.XD)
- History
Large project delivery
direct capability measureno dataset exists- Raw value
- no data% overrun
- Year
- —
- Normalized
- no data
- Source
- none
- History
- —
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
- —
- Normalized
- no data
- Source
- OECD DynEmp
- History
- —
Note: OECD business dynamics work covers members irregularly. Nothing comparable for India, Brazil or South Africa.