downstream outcomeobserved
- Raw value
- 9724.77articles per million people
- Year
- 2023. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IP.JRN.ARTC.SC)
- History
Morocco
Strongest usable evidence: Agency, at 56.3. Raise Learning first, at 24.3. Shared Purpose needs more evidence: confidence is 0.28.
Raise, lowest first
| Dimension | Confidence | Score |
|---|---|---|
| Learning | 0.54 | 24.3 |
| Anticipation | 0.46 | 35.8 |
| Building | 0.55 | 37.9 |
| Trust | 0.49 | 45.7 |
| Adaptability | 0.59 | 49.7 |
Measure before managing
| Dimension | Confidence | Score |
|---|---|---|
| Shared Purpose | 0.28 | 60.6 |
| Experimentation | 0.33 | 16.7 |
| Coordination | 0.41 | 86.7 |
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.
Anticipation35.8Confidence0.46usableHow capable is the country of identifying and preparing for emerging change?
Morocco
Read Morocco 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 | 0.41 | 3 of 5 | 0.86 | no trend | no data | no estimate | |
| Shared Purpose | 0.28 | 3 of 6 | 0.62 | no trend | 47.0 | -13.6 | |
| Agency | 0.56 | 4 of 5 | 0.75 | no trend | no data | no estimate | |
| Adaptability | 0.59 | 4 of 6 | 0.96 | no trend | no data | no estimate | |
| Trust | 0.49 | 5 of 7 | 0.83 | no trend | no data | no estimate | |
| Building | 0.55 | 4 of 6 | 0.88 | +1.3(3) | no data | no estimate | |
| Anticipation | 0.46 | 2 of 4 | 0.96 | +14.7(2) | 43.0 | +7.2 | |
| Learning | 0.54 | 3 of 4 | 0.78 | no trend | no data | no estimate | |
| Experimentation | 0.33 | 4 of 9 | 0.81 | -4.3(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?
+14.7 over 10 years, from 21.1 in 2016 to 35.8 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.
direct capability measureobserved
- Raw value
- 73.068index 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, 1 record- 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), 2010
0.66 % of GDP, rank 51 of 118. Gross domestic expenditure on research and development as a share of GDP.
The value is from 2010, more than 15 years old.
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), 2016
1,083 per million people, rank 50 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
577 per million people, rank 72 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.
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.
Institut Royal des Etudes Stratégiques (IRES)
Morocco's Royal Institute for Strategic Studies, announced in the 2003 Throne Speech to strengthen the country's capacities for analysis, adaptation and anticipation and created by Dahir No 1-07-183 of 30 November 2007, published the twelfth edition of its strategic dashboard on Morocco's international positioning on 28 November 2024 and was still issuing general reports in 2025.
12 editions, editions of the strategic dashboard 'tableau de bord stratégique: évolution du positionnement international du maroc', 2024-11-28. Institut Royal des Etudes Stratégiques, Publications: Rapports généraux (list page) and Présentation de l'IRES, retrieved 2026-10-02.
How it worked: The head of state created by decree a strategic studies institute with a small project-based staff and associated researchers, which runs recurring monitoring products, national surveys and studies on questions he refers to it.
Limits: The institute reports on itself, and the figure is an edition number in the title of a listed report, not a count of output the institute publishes. The dashboard tracks Morocco's position in international indicators, which is strategic monitoring (veille) rather than scenario-based foresight, and the institute describes itself as a think tank, a watch function and a forum, working on questions referred by the King; the mandate and the Dahir are on the presentation page (https://www.ires.ma/fr/ires/presentation), where the 2003 Throne Speech that announced it names anticipation as its purpose. It sits outside the elected government, attached to the monarchy, so it is a centre-of-state body rather than a cabinet unit, and nothing read today shows its work entering a government decision. The page gives no budget, staff count or total of reports. Started is 2007, the year of the founding Dahir; the publication list begins in 2009.
Panel estimate, round 2, how this layer works
- 43.0 institutionalist@claude-opus-5-5, self-confidence 0.50
Hold with a small rise: the High Commission for Planning is a capable statistical and prospective body, and Noor solar, Tanger Med and the desalination programme were planned and delivered ahead of need. Research output is low and water stress was addressed late.
- 44.0 bottom_up@claude-opus-5-5, self-confidence 0.45
Morocco plans long-term and acts on it (Noor solar, Tanger Med, the New Development Model, desalination) more than its thin research base suggests; the others' point that water stress was addressed late is fair, so I trim by one.
- 42.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.50
Long-horizon plans that were executed (solar, ports, desalination) show conversion of limited resources into foresight, but water stress was addressed late and drought response is partial. I move up two to the panel midpoint.
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.
direct capability measureobserved
- Raw value
- 2.662per 1,000 aged 15-64
- Year
- 2024. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.BUS.NDNS.ZS)
- History
direct capability measureobserved
- Raw value
- 9days
- Year
- 2019. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.REG.DURS.MA.DY)
- History
direct capability measureobserved
- Raw value
- 4count
- 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.
perception proxyobserved
- Raw value
- 6.8mean 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
91.2 % of population, rank 34 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
44.4 % aged 15+, rank 103 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
77.8 % of GDP, rank 27 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.
direct capability measureobserved
- Raw value
- 6hours
- Year
- 2019. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (TRD.ACRS.BRDR.EXPT.BRDR.COMP.HR.DB1619)
- History
direct capability measureobserved
- Raw value
- 99.479percentage points from approved budget
- Year
- 2024. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (GF.XPD.BUDG.ZS)
- History
University-industry collaboration
direct capability measureno dataset exists- 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.
direct capability measureobserved
- Raw value
- 0.651index 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), 2023
3.515 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.
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.
direct capability measureobserved
- Raw value
- 510days
- Year
- 2019. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (ENF.CONT.DURS.DY)
- History
downstream outcomeobserved
- Raw value
- 29.623% of firms
- Year
- 2023. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.FRM.BRIB.ZS)
- History
downstream outcomeobserved
- Raw value
- 2.292scale 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.
perception proxyobserved
- Raw value
- 16.5% 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.
perception proxyobserved
- Raw value
- 28.1% 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
11.1 % 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.
direct capability measureobserved
- Raw value
- 0.504index 0-1
- Year
- 2020. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (HD.HCI.OVRL)
- History
direct capability measureobserved
- Raw value
- 8.816% of firms
- Year
- 2023. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.FRM.TRNG.ZS)
- History
Adult learning participation
direct capability measureno dataset exists, 1 record- Raw value
- no data% of adults
- Year
- no data
- Normalized
- no data
- Source
- Eurostat / OECD PIAAC
- History
- no data
Note: The best available measure of continuous learning capacity, and it exists only for European and OECD members.
downstream outcomeobserved
- Raw value
- 0.785ratio 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
48.2 % gross, rank 68 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
6 % of GDP, rank 15 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), 2019
8.6 % of secondary, rank 77 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.
Agence Nationale de Lutte contre l'Analphabetisme literacy and post-literacy programmes
Morocco's national literacy agency (ANLCA) and its partners registered 763,744 adults in literacy programmes in 2023-2024, 570,507 at level 1 literacy and 193,237 in post-literacy, with about 81 percent of level 1 registrants women and 62 percent rural.
763,744 registrants, registrants in literacy programmes (level 1 literacy plus level 2 post-literacy), 2023-2024 programme year. 570,507 registrants, registrants in level 1 literacy programme (alpha) only, 2023-2024 programme year. Agence Nationale de Lutte contre l'Analphabetisme (ANLCA), Alphabetisation, Indicateurs page, retrieved 2026-10-02.
How it worked: A national agency funds and certifies literacy classes that associations, the religious affairs ministry and other departments run in villages, mosques and neighbourhoods, and counts registrants each programme year.
Limits: The agency reports on its own programmes and the page carries no publication date. The counts are registrations, not completions or people who became literate: the Cour des comptes (annual report 2023-2024, principal axes, pages 49 to 52) found an average attendance index of about 40 percent and an assiduity index of 43 percent in 14,263 inspected classes over 2019 to 2022, so attendance is far below registration. Delivery runs mostly through civil-society associations under agency contracts (385,442 of the 570,710 level 1 registrants in the page's partner table) and through the Ministry of Habous mosque programme (165,290), so the agency finances and certifies rather than teaches; the partner table total (570,710) differs by 203 from the headline level 1 figure (570,507), and the page does not explain the gap. Literacy courses are basic education, which is only part of the adult learning construct. Press reports, citing the agency and the Cour des comptes, put registrations at over one million in 2023; that figure was not found at an official URL this protocol could open, so no peak is claimed, but if it holds for 2022-2023 the 2023-2024 count is about a quarter lower. The 2015 start is the year the Cour des comptes gives for the launch of the agency's programmes, not a date on the cited page.
Experimentation
How easily can new approaches be attempted, tested, abandoned, and improved?
-4.3 over 10 years, from 20.6 in 2016 to 16.3 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.
downstream outcomeobserved
- Raw value
- 254per million people
- Year
- 2021. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IP.PAT.RESD)
- History
downstream outcomeobserved
- Raw value
- 20432per million people
- Year
- 2021. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IP.TMK.RSCT)
- History
downstream outcomeobserved
- Raw value
- 3208per million people
- Year
- 2021. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IP.IDS.RSCT)
- History
downstream outcomeobserved
- Raw value
- 395568per million people
- Year
- 2026. The rail runs from 1960 to 2026.
- Normalized
- Source
- GitHub Innovation Graph (data/repositories.csv)
- History
- no data
Venture deals
direct capability measureno dataset exists- Raw value
- no dataper million people
- Year
- no data
- Normalized
- no data
- Source
- OECD / national VC associations
- History
- no data
Note: Redefined 2026-10-02 (D152). The id keeps its first name so evidence records, links and published files still resolve. The row asked for venture capital deployed as a share of GDP, a level of financial depth of the kind private credit is (D122). A count of first rounds counts attempts started with outside risk money, which is what this capability asks about, and a large round counts once. Candidates, none wireable: the OECD SME and Entrepreneurship Financing scoreboard carried venture capital for 6 of the 16 countries the frame held on 2026-08-26, as amounts in national currency, latest year 2022, with Brazil, India, South Africa and Singapore absent (D21); national venture capital associations publish counts on their own definitions; commercial deal databases cover the world and are not inspectable (D10). Wireable on an inspectable deal count with one definition of a first round for half the frame or more. Read A1 before treating this dimension as measured.
Early-stage entrepreneurial activity
direct capability measuremissing- Raw value
- no data% aged 18-64
- Year
- no data
- Normalized
- no data
- Source
- Global Entrepreneurship Monitor (APS key indicators, TEA rate)
- History
- no data
Note: From the GEM Adult Population Survey, entered by hand because GEM has no open API. TEA counts every new business, so necessity self-employment scores the same as a funded startup, which is why Chile and Argentina sit above the United States here. Read it as how many people are trying, not as how much value the attempts create. GEM does not run every economy every year: Singapore last took part in 2014 and the recency term marks that value down hard.
Tolerance of entrepreneurial failure
perception proxymissing- Raw value
- no data% not deterred
- Year
- no data
- Normalized
- no data
- Source
- Global Entrepreneurship Monitor (APS key indicators, fear of failure rate)
- History
- no data
Note: Stored as 100 minus the published GEM fear of failure rate, so the direction matches the rest of the registry. GEM measures that rate among adults who already see good opportunities, not among all adults, so the denominator differs from the label. Attitudinal: bankruptcy law and time to discharge would be the observable substitute and are still worth wiring beside it.
Firms through regulatory sandboxes
direct capability measureno dataset exists- Raw value
- no datafirms per million people
- Year
- no data
- Normalized
- no data
- Source
- national regulators
- History
- no data
Note: Redefined 2026-10-02 (D152). The row asked for the number and breadth of live sandboxes, which is a policy stock: a regime can exist with nobody in it. It now counts what passes through: firms a regulator let test under relaxed rules, and firms that came out, authorised, withdrawn or failed. Regulators publish cohort lists and exit reports one by one. The evidence corpus holds 22 records against this row, most of them counts of firms admitted or exited, each on the definition and window of its own regulator, and no register assembles them on one definition (O1 triage sweep, 2026-10-01). A realistic candidate for Envisioning to build from those lists. Wireable on a register that counts admissions and completions on one definition for half the frame or more.
University spinouts
direct capability measureno dataset exists- Raw value
- no dataper million people
- Year
- no data
- Normalized
- no data
- Source
- national TTO associations
- History
- no data
Note: Reported nationally with incompatible definitions of what counts as a spinout.
Business share of R&D
capability inputretired, see notes- Raw value
- no data% of R&D
- Year
- no data
- Normalized
- no data
- Source
- OECD MSTI / RICYT
- History
- no data
Note: Retired 2026-10-02. The only working source, OECD MSTI joined with RICYT for Latin America, covers 34 of the 53 countries then in the frame, but the row reads the make-up of a spending stock: who performs the R&D a country pays for. R&D spending itself is a condition since D122, and the share is high both where business research is large (Israel) and where total research is tiny and one firm dominates it (Thailand). State enterprises count as business, so China and Vietnam read their ownership model. UIS stopped publishing the series in 2023. Firms trying new things are read through patents, trademarks, designs and entrepreneurship instead. See D142.
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.
downstream outcomeobserved
- Raw value
- 9% of labour force
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (SL.UEM.TOTL.ZS)
- History
downstream outcomeobserved
- Raw value
- 68.6% of unemployed
- Year
- 2022. The rail runs from 1960 to 2026.
- Normalized
- Source
- ILOSTAT (DF_UNE_TUNE_SEX_AGE_DUR_NB)
- History
- one year
direct capability measureobserved
- Raw value
- 0.21index 0-1, lower = more diversified
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- UNCTAD (US.ConcentDiversIndices)
- History
- one year
downstream outcomeobserved
- Raw value
- 2.56% 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
47.8 % aged 15+, rank 118 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
7.3 per 100 people, rank 84 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
18.2 % of output, rank 97 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)
No value for this country. 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.
Catastrophe insurance regime and the Solidarity Fund against Catastrophic Events (FSEC)
Morocco's dual catastrophe insurance regime under Law 110-14 took effect in January 2020. It offered private cover to close to 9 million insured people and set up the FSEC, financed by a parafiscal levy, for the uninsured. After the September 2023 Al Haouz earthquake, the government deployed the FSEC for the first time, and it mobilised US$300 million to compensate uninsured victims.
300 US$ million, compensation funding mobilised by the fsec for uninsured victims of the al haouz earthquake (us$25 million from reserves plus us$275 million from sovereign reinsurance), 2023. 9 million people, people insured against bodily injury in catastrophic events under the private scheme, 2022. World Bank, Implementation Completion and Results Report ICR00006503, Morocco Disaster Risk Management Development Policy Loan with a Catastrophe Deferred Drawdown Option (P168580), June 2024, retrieved 2026-10-02.
How it worked: The Ministry of Interior and the Ministry of Economy and Finance legislated a two-tier regime. Private insurers carry catastrophe cover for people who already hold policies. A public fund, paid for by a parafiscal levy and backed by sovereign reinsurance, gives basic compensation to the uninsured once the government declares an event a catastrophe.
Limits: Both sources are the World Bank reporting on reforms it financed: an FSEC programme-for-results loan and a Cat DDO whose prior actions were these reforms. The US$300 million is money mobilised, not money paid to households. The ICR says the compensation process was still under way in June 2024 and gives no count of victims compensated. Nothing here shows what share of the earthquake's losses the regime covered. The 9 million and 6 million figures are coverage estimates from a 2022 results brief, not counts of policies or payouts. The regime's one real test is a single earthquake. One of the Cat DDO's own result indicators was missed by a wide margin: Interior ministry officials trained on victim registration stood at 7.4 percent against a 90 percent target. The audit of the FSEC's internal controls had not been completed. The two World Bank documents disagree on the law's date: the ICR says Law 110-14 was promulgated in 2016, while the brief says it was adopted in 2018. Started is therefore the year the regime took effect. The headline figures are read from a 45-page PDF and a web page.
Tadamon emergency cash transfers to informal workers, 2020
Morocco created a Special Pandemic Fund in March 2020 and, through its Tadamon budget line, paid emergency cash transfers of MAD 800 to 1,200 to households of informal workers, reaching 4.2 million households in the first wave in April 2020 and 5.45 million across the first and second waves, for a total of MAD 16.15 billion by October 2020.
5,450,000 households, households reached by the first and second waves of tadamon emergency cash transfers, 2020. 4,200,000 households, households reached by the first wave, paid in april 2020, 2020-04. World Bank, Project Appraisal Document, Morocco COVID-19 Social Protection Emergency Response Project (P172809), November 2020, retrieved 2026-10-02.
How it worked: The Ministry of Economy and Finance opened a dedicated budget line in a pandemic fund, used the RAMED health-assistance register to pay listed informal-worker households by mobile phone without a new application, and opened a one-week web platform for informal households outside the register.
Limits: The figures are in paragraphs 13 and 14 of a PDF (printed pages 12 and 13 of 103, PDF page 18): 4.2 million households in the April 2020 first wave, 1.25 million added later through the grievance mechanism, 5.45 million across the first two waves (2.8 million RAMED and 2.65 million non-RAMED), a third wave in July 2020, and MAD 16.150 billion paid by October 2020. The World Bank wrote this appraisal to finance the programme retroactively (US$160 million for the Tadamon transfers), so it is a lender describing a programme it was about to fund, not an independent evaluation, and the document gives no exact payment dates beyond the month. Speed is shown only in months: the fund was set up in March 2020, enrolment for non-RAMED households was open on 10 to 16 April, and the first wave was paid in April. The 5.45 million counts households paid at least once, not households kept whole: transfers were flat amounts by household size and stopped after three waves. The 1.25 million added through grievances means the first list missed about a fifth of the households it finally paid, so targeting was fast but rough. The fund was financed in large part by contributions from public enterprises, banks, firms and individuals, not only the budget.
Building
How capable is the country of turning plans and knowledge into functioning systems?
+1.3 over 10 years, from 17.8 in 2016 to 19.1 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.
downstream outcomeobserved
- Raw value
- 14.932% of GDP
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (NV.IND.MANF.ZS)
- History
downstream outcomeobserved
- Raw value
- 5.431% of manufactured exports
- Year
- 2023. 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.
direct capability measureobserved
- Raw value
- 94.348score 0-100
- Year
- 2019. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.ELC.TIME.DFRN)
- History
downstream outcomeobserved
- Raw value
- 0.239index
- 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
32,242 constant 2021 PPP $, rank 77 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.
Morocco's solar agency MASEN had the Noor-Ouarzazate I, II and III concentrated solar plants (510 MW) built, grid-connected and fully operational by October 2018, at a completed capital cost of US$1,962 million, about 7 percent below the appraisal estimate of US$2,093 million. Noor II and III then generated an average of 739 GWh a year in 2019 to 2023, against the 1,144 GWh expected at appraisal.
1,962 US$ million, completed capital cost of the noor-ouarzazate complex (appraisal estimate us$2,093 million), 2024. 739 GWh per year, average annual generation of noor-ouarzazate ii and iii, against 1,144 gwh expected at appraisal, 2019-2023. World Bank, Implementation Completion and Results Report ICR00043, Morocco Noor Solar Power Project (P131256, P164288), March 2025, retrieved 2026-10-02.
How it worked: MASEN, the state agency set up for the Moroccan Solar Plan, tendered the plants to private developers under power purchase agreements and sat between them and the national utility ONEE. A World Bank-financed cost mitigation mechanism covered the gap between the solar tariff and what the utility paid.
Limits: The lender graded its own project here. The World Bank financed it, and the report rates the outcome 'Moderately Unsatisfactory', with efficacy and efficiency both 'Modest'. The cost figure is the Bank's economic-analysis number for the Ouarzazate plants. A footnote says it nets a 14 percent saving at Noor I against an overrun at Noor III. On schedule the report gives no figure, only that Noor II and III were built 'with a delay of just a few months'. Cost was on budget, but output was not. Generation ran about 35 percent below the appraisal expectation. Noor II missed its peak-hour share, at 32 percent against a 41 percent target. The Noor III tower plant had two prolonged outages caused by cracks in its molten salt tank: September 2021 to December 2022, and April 2024 to at least October 2024, when the report says it was still offline. The second phase financed under the same operation, Noor-Midelt, had not started construction by the June 2024 closing date. The project therefore delivered 510 MW against a 1,310 MW target. The economic rate of return was negative without carbon benefits. Generation-mix forecasts did not materialise either: coal's share rose to almost 70 percent by 2020. The capital came largely from concessional international lenders, with about US$4.1 billion disbursed from all financiers. A copy of this design would need that finance. All figures are read from a 40-page PDF.