- Raw value
- 519.72articles per million people
- Year
- 2023. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IP.JRN.ARTC.SC)
- History
Burkina Faso
No dimension reaches 50 on usable evidence. Raise Building first, at 13.3. Experimentation needs more evidence: confidence is 0.09.
Raise, lowest first
| Dimension | Confidence | Score |
|---|---|---|
| Building | 0.57 | 13.3 |
| Learning | 0.55 | 21.7 |
| Adaptability | 0.62 | 33.8 |
| Anticipation | 0.46 | 34.3 |
Measure before managing
| Dimension | Confidence | Score |
|---|---|---|
| Experimentation | 0.09 | no data |
| Shared Purpose | 0.28 | 56.7 |
| Trust | 0.29 | 59.4 |
| Coordination | 0.31 | 75.0 |
| Agency | 0.41 | 58.2 |
These lists are the country's capability agenda, computed from the scores. Read the full agenda. It names comparable evidence from other countries and the 18 gaps in the registry.
Why this country is included: Added in the 9.0.0 completion, which takes every country of a million people or more that is measurable in all nine capabilities.
Read Burkina Faso 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 | 0.31 | 3 of 5 | 0.64 | no trend | no data | no estimate | |
| Trust | 0.29 | 3 of 7 | 0.86 | no trend | 32.0 | -27.4 | |
| Agency | 0.41 | 3 of 5 | 0.72 | no trend | no data | no estimate | |
| Shared Purpose | 0.28 | 2 of 6 | 0.88 | +3.6(2) | 31.0 | -25.7 | |
| Anticipation | 0.46 | 2 of 4 | 0.96 | +24.4(2) | 23.0 | -11.3 | |
| Adaptability | 0.62 | 4 of 6 | 1.00 | no trend | no data | no estimate | |
| Learning | 0.55 | 3 of 4 | 0.81 | no trend | no data | no estimate | |
| Building | 0.57 | 4 of 6 | 0.90 | -7.0(3) | no data | no estimate | |
| Experimentation | 0.09 | 1 of 9. Below the coverage floor: this model needs 2 observed rows before it publishes a score. | 1.00 | 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?
+24.4 over 10 years, from 9.9 in 2016 to 34.3 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
- 76.368index 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), 2024
0.11 % of GDP, rank 99 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), 2010
46.6 per million people, rank 98 of 114. Full-time-equivalent researchers per million people.
The value is from 2010, more than 15 years old.
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
28.8 per million people, rank 114 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
- 22.0 institutionalist@claude-opus-5-5, self-confidence 0.50
I hold 22: INSD's statistical capacity is a real institutional asset, but the state failed to prepare for the insurgency that became its central threat, and zai pits are farmer practice rather than national preparedness.
- 24.0 bottom_up@claude-opus-5-5, self-confidence 0.45
Near hold. INSD's statistics are decent for the frame and farmers' zai pits and stone bunds are a long-practised local anticipation of drought; but the state did not prepare for the insurgency and military rule has narrowed planning, which all three of us agree on.
- 23.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.40
I rise from 22 to 23. Panelist B's zaï pits and stone bunds are real local anticipation of drought. Against that, the state failed to prepare for the insurgency and research output is at the floor, so I stay far below the 34 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
- 0.768per 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
- 13days
- Year
- 2019. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.REG.DURS.MA.DY)
- History
- Raw value
- 3count
- Year
- 2019. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.REG.PROC.MA.NO)
- History
Adults doing digital tasks
direct capability measureno dataset exists- Raw value
- no data% of adults
- Year
- no data
- Normalized
- no data
- Source
- ITU / UNESCO UIS (SDG 4.4.1, ICT skills by type)
- History
- no data
Note: Redefined 2026-10-02 (D152). The row asked whether adults can perform standard digital tasks, which reads a skill level, the kind of stock D122 moved out of the scores with internet users. It now counts the act: a person who did the task. It is not the internet users condition beside it, which counts access. Candidate: ITU ICT skills by type (SDG 4.4.1) through the UNESCO UIS API, probed 2026-10-02. Sent a message with an attached file reaches 33 of the 53 countries then in the frame, 25 at 2018 or later, with no United States, India or China and most of Africa and Central America missing; two other task items reach 31 and 16. The items are self-reported and the task list has changed between rounds. Wireable on one task observed for half the frame or more at 2018 or later.
Perceived control over life
perception proxymissing- Raw value
- no datamean 1-10
- Year
- no data
- Normalized
- no data
- Source
- Joint EVS/WVS (A173)
- History
- no data
Note: A perception: the publisher-weighted mean, on a 1 to 10 scale, of how much freedom of choice and control respondents feel they have over the way their life turns out, from the official Joint EVS/WVS 2017-2022 results table, release 5.0.0. It observes the felt capacity to act, not action. The table prints the mean to one decimal and no top-box share, so the row stores the mean and ties are common. Fieldwork years differ by up to six years: the 37 countries emitted were surveyed between 2017 (eight, the US among them) and 2023 (India), and every value is stamped with the release year 2022. Response style on 10-point scales differs across cultures, and a closed autocracy can read high: Vietnam and Nicaragua sit near the top of the frame. Countries with separate EVS and WVS samples (Germany, the United Kingdom, the Netherlands) are held, as for interpersonal trust. See D127 and A15.
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
28.3 % of population, rank 115 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
51.4 % aged 15+, rank 94 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
22.7 % of GDP, rank 94 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
- 74.5hours
- Year
- 2019. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (TRD.ACRS.BRDR.EXPT.BRDR.COMP.HR.DB1619)
- History
- Raw value
- 95.815percentage points from approved budget
- Year
- 2016. 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.
- Raw value
- 0.636index 0-1
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- V-Dem (v2x_cspart)
- History
- one year
Public-private collaboration
direct capability measureno dataset exists- Raw value
- no dataindex 0-100
- Year
- no data
- Normalized
- no data
- Source
- none
- History
- no data
Note: No comparable dataset. PPP investment databases measure infrastructure finance, not collaboration capacity.
Behavioral check, not scored
Each number below is published beside the score and stays out of it. It is not in the frame, the average, the indicator count or the confidence.
Customs clearance time for exportsWorld Bank (IC.CUS.DURS.EX), 2024
3.195 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.
- Raw value
- 446days
- Year
- 2019. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (ENF.CONT.DURS.DY)
- History
- Raw value
- 14.117% of firms
- Year
- 2024. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.FRM.BRIB.ZS)
- History
- Raw value
- 0.982scale 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.
Generalised interpersonal trust
perception proxymissing- Raw value
- no data% agreeing
- Year
- no data
- Normalized
- no data
- Source
- Joint EVS/WVS (A165)
- History
- no data
Note: Share answering that most people can be trusted in the official Joint EVS/WVS 2017-2022 results table, release 5.0.0. The adapter uses the publisher-weighted country results, emits only countries with one survey row, and holds countries with separate EVS and WVS samples until the respondent-level weights can be pooled reproducibly. See D57 and D64.
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.
Cooperation beyond the in-group
perception proxymissing- Raw value
- no data% expressing trust
- Year
- no data
- Normalized
- no data
- Source
- Joint EVS/WVS (G007_34_B)
- History
- no data
Note: The distinction that makes this dimension worth measuring: whether trust reaches a person with no tie to the respondent. Generalised trust asks about "most people", which a respondent can fill with their own circle; this item names the stranger. China is the clearest case, high on most people and low on a person met for the first time. The value is the publisher-weighted share answering trust completely plus the share answering trust somewhat, the one sum of two printed columns the adapter stores, exact to about 0.1, over all respondents including don't know and no answer. EVS and WVS ask the same question on the same four-point scale; where one country has both samples, the WVS share is a median 2.2 points higher. Trust in people of another nationality (G007_36_B), which the row once also named, is left out because it reads attitudes to foreigners as much as trust. Fieldwork runs from 2017 to 2023 and every value carries the release year 2022. Germany, the United Kingdom and the Netherlands are held, as for interpersonal trust. See D140.
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.
Panel estimate, round 2, how this layer works
- 31.0 institutionalist@claude-opus-5-5, self-confidence 0.40
I hold near 30: the 2019 contract enforcement figure predates two coups and rule by decree, and militia recruitment along ethnic lines that panelist B describes is the opposite of impersonal cooperation. Customary networks are in-group by construction.
- 33.0 bottom_up@claude-opus-5-5, self-confidence 0.35
Slightly down from 35: A is right that the contract figure predates two coups and rule by decree. Customary and village networks and inter-ethnic joking relationships keep cooperation beyond kin alive in much of the country, which is why I do not go to 30.
- 32.0 wealth_sceptic@claude-sonnet-5-5, self-confidence 0.40
I come down from 36 to 32. A and B note the contract enforcement figure dates to 2019, before two coups, and that courts do not constrain the junta. Militia recruitment along ethnic lines has damaged trust across groups, which is the dimension's target.
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
- 0.384index 0-1
- Year
- 2020. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (HD.HCI.OVRL)
- History
- Raw value
- 11.997% 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
- 0.959ratio 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
10 % gross, rank 106 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
5.3 % of GDP, rank 26 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
2.4 % of secondary, rank 106 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.
Adult literacy centres financed through FONAENF, and their erosion
Burkina Faso's adult literacy and non-formal education centres, financed through FONAENF and run by contracted operators under the faire-faire strategy, enrolled 178,021 adult learners in 2015. Enrolment fell to 113,721 in 2018 and 86,405 in 2021, when 1,885 adult centres opened against 3,094 in 2018.
86,405 learners, young people and adults enrolled in non-formal education centres (apprenants jeunes et adultes), 2021. 178,021 learners, adults enrolled in non-formal education centres at the 2015 high point of the 2015 to 2019 series (enf des adultes), 2015. Ministère de l'Education nationale, de l'Alphabétisation et de la Promotion des Langues nationales (MENAPLN), Burkina Faso, Rapport de suivi annuel 2021 du Programme de développement stratégique de l'éducation de base (PDSEB), version provisoire, May 2022, from DGESS annuaires statistiques de l'ENF, hosted by the Global Partnership for Education, retrieved 2026-10-02.
How it worked: The ministry created FONAENF in 2002 to pool state and donor money and pay NGOs and associations to run literacy centres under the faire-faire strategy, so the state finances and supervises while operators deliver. Because each year's allocation decides how many centres open, cuts in the budget line and the spread of insecurity reduced the number of centres and learners almost immediately.
Limits: The figures are counts of people enrolled in literacy and non-formal education centres, not the share of adults that the gap asks for. The ministry publishes no participation rate, and on any plausible adult population the 2021 count is around one percent of adults or less, so even the 2015 level was a small programme against the construct. The 2021 figure comes from a ministry monitoring report marked 'version provisoire' (provisional), and the copy used is hosted by the Global Partnership for Education, a funder of the plan. The 2015 figure comes from a different ministry document, the SNDENF 2021-2025, and the copy used is on a third-party site (mojaafrica.net), not a government domain. The two documents do not fully agree: the SNDENF prints 2016 adult enrolment as 86,001 in one table and 88,770 in the next. 2015 is the high point of the published 2015 to 2019 series and may not be the programme's true peak, and the series is volatile: it dropped by half in 2016 and partly recovered in 2018, which shows enrolment following each year's funding, not a steady decline. The 2021 figure is up from a 2020 low of 81,350, and the ministry credits the rise to a slight increase in budget programme 060. The 2021 level matches 2016 (86,001), so the decline is from the 2015 and 2018 highs, not a steady fall. The centre counts in Tableau V-4 are for 'jeunes et adultes' centres. 'Jeunes et adultes' covers learners aged 15 and over, and the adolescent centres are counted separately and excluded here. The counts are compiled from forms filled in by the operators the fund pays, so the people delivering the programme are reporting their own enrolment. The ministry attributes the fall to reduced budget allocations, and its own reports say the security crisis since 2016 closed many education facilities, but the series cannot separate the two causes. The record has no figure after 2021, so it cannot say whether the decline continued after the 2022 coups.
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.
Resident patent applications
downstream outcomeset aside, older than 15 years- Raw value
- no dataper million people
- Year
- no data
- Normalized
- no data
- Source
- World Bank (IP.PAT.RESD)
- History
The latest value, 2 per million people in 2010, is more than 15 years old. It does not count toward the score, the scale or the coverage, and it stays in the history.
Note: Records completed experiments that reached the filing stage. Korea and the US file for strategic reasons unrelated to novelty.
Resident trademark applications
downstream outcomemissing- Raw value
- no dataper million people
- Year
- no data
- Normalized
- no data
- Source
- World Bank (IP.TMK.RSCT)
- History
- no data
Note: Cheaper and more frequent than patents, so it tracks the many-small-experiments idea better than patent counts do.
Resident industrial design applications
downstream outcomeset aside, older than 15 years- Raw value
- no dataper million people
- Year
- no data
- Normalized
- no data
- Source
- World Bank (IP.IDS.RSCT)
- History
The latest value, 4 per million people in 2010, is more than 15 years old. It does not count toward the score, the scale or the coverage, and it stays in the history.
Note: A filed design is a registered attempt at a new product form: cheaper and more frequent than a patent, so it reads as many small experiments (D126). Three traps. China subsidised design filings, as it did patents, so its count runs ahead of the attempts behind it. EU applicants increasingly file at the EUIPO rather than nationally, and resident counts at a national office miss those filings, so EU members read low. The Netherlands has no series because designs there go to the Benelux office. Read it beside resident trademarks, which it partly duplicates.
- Raw value
- 16421per 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.
- Raw value
- 3.477% of labour force
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (SL.UEM.TOTL.ZS)
- History
- Raw value
- 64.3% of unemployed
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- ILOSTAT (DF_UNE_TUNE_SEX_AGE_DUR_NB)
- History
- one year
- Raw value
- 0.841index 0-1, lower = more diversified
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- UNCTAD (US.ConcentDiversIndices)
- History
- one year
- Raw value
- 1.07% of products not exported competitively at the start
- Year
- 2024. The rail runs from 1960 to 2026.
- Normalized
- Source
- Harvard Growth Lab (hs92_country_product_year_4.csv (doi:10.7910/DVN/T4CHWJ))
- History
- one year
Disaster preparedness and recovery
direct capability measureno dataset exists- Raw value
- no dataindex 0-100
- Year
- no data
- Normalized
- no data
- Source
- INFORM / UNDRR
- History
- no data
Note: No source observes a country preparing for or recovering from a real shock. INFORM publishes its lack of coping capacity apart from hazard and exposure, but that dimension averages government self-assessments and governance perception indices with stocks such as roads, phones and physicians, which is the perception layer D23 retired plus conditions money buys (D122). Sendai and WHO reporting are governments grading themselves. A warning-reach survey item is a check candidate. See the disaster preparedness memo.
Institutional responsiveness
direct capability measureno dataset exists, 1 record- Raw value
- no dataindex 0-100
- Year
- no data
- Normalized
- no data
- Source
- none
- History
- no data
Note: No dataset exists. Measurable in principle from legislative and regulatory timestamps, which no one has assembled comparably.
Conditions, not scored
What the country has to work with on this capability. The values are shown as the source published them and are not part of the score, the confidence or the trend. The rank counts the countries with a value, best first.
Labour force participationWorld Bank (SL.TLF.ACTI.ZS), 2025
71.2 % aged 15+, rank 54 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
0.85 per 100 people, rank 104 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
17.1 % of output, rank 95 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), 2023
95.1 % of employment, rank 98 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.
Burkin-Naong-Sa Ya adaptive cash transfers for COVID-19 and the lean season
Burkina Faso's national safety net programme (Burkin-Naong-Sa Ya) paid three rounds of FCFA 20,000 adaptive cash transfers to over 42,800 people between May and September 2020 in response to COVID-19, including 21,160 vendors from temporarily closed markets, and later raised the lean-season transfer from FCFA 20,000 to FCFA 45,000 in 2022 to align it with the food security response, paying three extra monthly payments to over 763,700 people in IPC3+ areas over the 2021 to 2023 lean seasons.
42,800 people (over), people who received three rounds of covid-19 adaptive cash transfers, may to september 2020, 2020-09. 45,000 FCFA per household, lean-season adaptive transfer per household after the 2022 increase (from fcfa 20,000), 2022. World Bank, Implementation Completion and Results Report, Burkina Faso Social Safety Net Project (P124015), January 2024, retrieved 2026-10-02.
How it worked: The safety net unit kept an 'adaptive' transfer window inside its regular programme and pointed it at whichever shock arrived: market closures and urban poverty in 2020, then IPC3+ lean-season food crises from 2021, raising the transfer amount when food prices rose.
Limits: The World Bank financed the programme and reports on its own project; paragraphs 34 and 35 are on page 10 of the plain-text ICR. The COVID-19 response was small: over 42,800 people, against a regular programme the ICR targeted at 948,100 people and says reached close to 1.05 million, and the ICR mixes units (21,000 of the beneficiaries are described as households in Ouagadougou and Bobo Dioulasso). The ICR gives the payment window, May to September 2020, not the date of the first payment, so the most that can be read is that cash started within about two months of the first COVID-19 measures. The 2020 audit was qualified, finding FCFA 27 million of overpayments to COVID-19 beneficiaries by payment agencies and discrepancies in payment lists (page 24). The ICR says the 2022 increase was made to align with the food security response under the Sahel Adaptive Social Protection Program, not as an indexation rule, and it converts both the 2022 and 2023 amounts to about US$85, so the change kept pace with prices rather than raising real support. All the money is IDA and trust fund money, not the national budget, and the ICR records that the two military coups of 2022 (January and September) led to pauses in disbursements, so the responsiveness shown in 2020 did not hold steady through the period.
Building
How capable is the country of turning plans and knowledge into functioning systems?
-7.0 over 10 years, from 13.3 in 2016 to 6.3 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
- 6.618% of GDP
- Year
- 2025. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (NV.IND.MANF.ZS)
- History
- Raw value
- 1.645% 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
- 34.348score 0-100
- Year
- 2019. The rail runs from 1960 to 2026.
- Normalized
- Source
- World Bank (IC.ELC.TIME.DFRN)
- History
- Raw value
- 0.012index
- 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
6,603 constant 2021 PPP $, rank 118 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.
Ouagadougou Water Supply Project (Ziga)
Between 2001 and 2007, ONEA, Burkina Faso's national water utility, delivered the Ziga project through a dedicated project unit. The project built the Ziga earth dam and its transmission main to Ouagadougou, plus 56,000 subsidised connections and 400 standpipes. Eleven external financiers and the government paid US$269.37 million, 131 percent of the US$205.88 million estimated at appraisal, and the project closed on its original date of 31 December 2007.
269.37 million US$, actual total financing of the ouagadougou water supply project, all financiers, 2007-12-31. 205.88 million US$, total financing estimated at appraisal, 2000-07. World Bank, Implementation Completion and Results Report, Burkina Faso Ouagadougou Water Supply Project (P000306), ICR705, April 2008, retrieved 2026-10-02.
How it worked: The government gave ONEA a mandate by decree in 1996 to set up a dedicated Ziga project unit. That unit ran one investment programme for eleven external financiers and the government, with joint annual supervision meetings, while the government adjusted tariffs and paid its own water bills so the utility stayed solvent.
Limits: The 31 percent overrun is in US dollars, and much of it is exchange rate. The ICR's own note puts the dollar at 640 CFA francs at appraisal and 506 at closing. Converted at those two rates, the appraisal total of about CFAF 132 to 134 billion and the actual total of about CFAF 136 billion are within a few percent of each other. Spending happened between the two dates, so neither conversion is exact, and the ICR prints both 640 and 650 for the appraisal rate. The real cost overrun in local currency is therefore unknown and probably small, and the dollar figure overstates it. The schedule figure only covers the 2001 to 2007 financing window. The project was conceived in the early 1990s and launched in 1994, so on-time closing says nothing about the decade of preparation before it. The ICR is the World Bank grading an operation it financed and supervised, and it relies on the borrower's reporting. The people-served figure is an estimate the ICR computes at 10 people per connection and 120 per standpipe, not a count. Donors provided almost all of the money, and the borrower's share was about US$8.8 million, so the record shows execution by ONEA, not national financing. The data are from 2007 and say nothing about Burkina Faso's delivery of large projects since then.