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Challenge the benchmark

Choose a score and give the benchmark a specific reason to reconsider it.

When you submit, the form attaches the current score and confidence for the country and capability you chose.

Submissions are public and start as awaiting review. A maintainer can add a response and signature after review.

All capabilities

Trust

How much cooperation is possible beyond immediate personal networks?

The country comparison, the indicators and the documented cases below show how much of this capability the current data can capture.

125 countries in the frame10 indicators in the registry5 indicators with data124 countries with a score

Compare every country on one scale

The table starts in alphabetical order. Sort by score, confidence, coverage, or trend. A score needs two observed indicators; a trend uses indicators observed at both ends.

Scores use one 0 to 100 scale for all countries. Each flag is a country, and the ring around it shows how strong the evidence behind that score is. Point at a flag to read the country, click it to open the profile.

  • Solid ring: usable or good evidence
  • Broken ring: thin evidence, opening further as confidence falls
  • The shaded band is the middle half of the field and the line inside it is the median.
  • Denmark: 94.1
  • Norway: 91.3
  • United Kingdom: 90.5
  • Finland: 89.7
  • Sweden: 89.4
  • Germany: 87.5
  • Ireland: 86.2
  • Czechia: 85.2
  • Netherlands: 85.1
  • Jamaica: 84.9
  • New Zealand: 84.8
  • Mauritius: 83.8
  • South Africa: 83.5
  • Switzerland: 82.6
  • Romania: 81.6
  • Costa Rica: 81.1
  • Tanzania: 80.2
  • Botswana: 80.1
  • Australia: 79.8
  • Belgium: 79.1
  • Lesotho: 78.7
  • Slovakia: 78.6
  • Namibia: 77.7
  • Mali: 77.3
  • Moldova: 76.6
  • Spain: 75.9
  • Dominican Republic: 75.8
  • Zambia: 75.3
  • Austria: 74.8
  • Estonia: 72.1
  • Papua New Guinea: 72.1
  • Panama: 71.9
  • Honduras: 71.6
  • Ghana: 70.7
  • Armenia: 70.4
  • Singapore: 70.4
  • United States: 69.9
  • France: 69.8
  • Nepal: 69.5
  • Malawi: 69.4
  • Rwanda: 68.5
  • Canada: 68.3
  • Guinea: 68.1
  • Gambia: 67.6
  • South Korea: 67.5
  • Serbia: 67.1
  • Lithuania: 66.6
  • Hungary: 66.3
  • Paraguay: 66.3
  • Côte d'Ivoire: 65.9
  • Japan: 64.4
  • Latvia: 62.3
  • Bulgaria: 61.2
  • Chile: 60.4
  • Uganda: 60.4
  • Jordan: 60.2
  • Mozambique: 59.9
  • Burkina Faso: 59.4
  • Portugal: 59.4
  • Uruguay: 58.7
  • Malaysia: 58.2
  • Croatia: 58.1
  • Poland: 57.2
  • Israel: 56.8
  • Thailand: 56.6
  • Georgia: 56.3
  • Mongolia: 56.3
  • China: 55.3
  • El Salvador: 55.3
  • Republic of the Congo: 54.3
  • Italy: 53.6
  • Sri Lanka: 53.6
  • Brazil: 53.4
  • Belarus: 52.4
  • Bosnia and Herzegovina: 52.0
  • Russia: 52.0
  • Uzbekistan: 52.0
  • Pakistan: 51.3
  • Trinidad and Tobago: 50.8
  • Argentina: 50.6
  • Haiti: 50.6
  • North Macedonia: 50.6
  • Ethiopia: 50.3
  • Burundi: 49.9
  • Slovenia: 49.0
  • Tunisia: 48.5
  • United Arab Emirates: 47.9
  • Ukraine: 47.9
  • Peru: 47.6
  • Philippines: 47.5
  • Guatemala: 47.3
  • Sudan: 47.3
  • Kazakhstan: 47.2
  • Madagascar: 47.2
  • Azerbaijan: 47.0
  • Democratic Republic of the Congo: 46.8
  • Turkey: 46.2
  • Morocco: 45.7
  • India: 45.3
  • Albania: 44.8
  • Nigeria: 44.5
  • Cyprus: 44.0
  • Indonesia: 43.3
  • Colombia: 43.2
  • Vietnam: 42.9
  • Kenya: 42.6
  • Kyrgyzstan: 41.6
  • Lebanon: 41.2
  • Mexico: 41.2
  • Ecuador: 40.2
  • Tajikistan: 39.8
  • Bolivia: 39.7
  • Egypt: 39.5
  • Iran: 39.5
  • Angola: 39.1
  • Laos: 36.8
  • Greece: 35.6
  • Bangladesh: 35.1
  • Nicaragua: 34.7
  • Myanmar: 30.5
  • Zimbabwe: 30.2
  • Iraq: 30.0
  • Guinea-Bissau: 27.9
  • Venezuela: 23.8
Trust scores by country
Albania44.80.505 of 7no trend
Angola39.10.293 of 7no trend
Argentina50.60.435 of 7no trend
Armenia70.40.293 of 7no trend
Australia79.80.505 of 7no trend
Austria74.80.505 of 7no trend
Azerbaijan47.00.505 of 7no trend
Bangladesh35.10.485 of 7no trend
Belarus52.40.445 of 7no trend
Belgium79.10.293 of 7no trend
Bolivia39.70.505 of 7no trend
Bosnia and Herzegovina52.00.495 of 7no trend
Botswana80.10.293 of 7no trend
Brazil53.40.505 of 7no trend
Bulgaria61.20.495 of 7no trend
Burkina Faso59.40.293 of 7no trend
Burundi49.90.293 of 7no trend
Canada68.30.505 of 7no trend
Chile60.40.505 of 7no trend
China55.30.505 of 7no trend
Colombia43.20.495 of 7no trend
Costa Rica81.10.293 of 7no trend
Côte d'Ivoire65.90.293 of 7no trend
Croatia58.10.495 of 7no trend
Cubanot measured. No score. One indicator is observed here; this model needs two before it can average a dimension score.0.071 of 7. Below the coverage floor: this model needs 2 observed rows before it publishes a score.no trend
Cyprus44.00.505 of 7no trend
Czechia85.20.293 of 7no trend
Democratic Republic of the Congo46.80.293 of 7no trend
Denmark94.10.505 of 7no trend
Dominican Republic75.80.293 of 7no trend
Ecuador40.20.505 of 7no trend
Egypt39.50.505 of 7no trend
El Salvador55.30.293 of 7no trend
Estonia72.10.495 of 7no trend
Ethiopia50.30.505 of 7no trend
Finland89.70.505 of 7no trend
France69.80.505 of 7no trend
Gambia67.60.293 of 7no trend
Georgia56.30.495 of 7no trend
Germany87.50.293 of 7no trend
Ghana70.70.293 of 7no trend
Greece35.60.495 of 7no trend
Guatemala47.30.505 of 7no trend
Guinea68.10.293 of 7no trend
Guinea-Bissau27.90.293 of 7no trend
Haiti50.60.162 of 7no trend
Honduras71.60.223 of 7no trend
Hungary66.30.495 of 7no trend
India45.30.505 of 7no trend
Indonesia43.30.495 of 7no trend
Iran39.50.374 of 7no trend
Iraq30.00.485 of 7no trend
Ireland86.20.293 of 7no trend
Israel56.80.293 of 7no trend
Italy53.60.505 of 7no trend
Jamaica84.90.293 of 7no trend
Japan64.40.505 of 7no trend
Jordan60.20.505 of 7no trend
Kazakhstan47.20.505 of 7no trend
Kenya42.60.505 of 7no trend
Kyrgyzstan41.60.495 of 7no trend
Laos36.80.293 of 7no trend
Latvia62.30.505 of 7no trend
Lebanon41.20.455 of 7no trend
Lesotho78.70.293 of 7no trend
Lithuania66.60.505 of 7no trend
Madagascar47.20.283 of 7no trend
Malawi69.40.293 of 7no trend
Malaysia58.20.505 of 7no trend
Mali77.30.293 of 7no trend
Mauritius83.80.293 of 7no trend
Mexico41.20.495 of 7no trend
Moldova76.60.293 of 7no trend
Mongolia56.30.505 of 7no trend
Morocco45.70.495 of 7no trend
Mozambique59.90.293 of 7no trend
Myanmar30.50.425 of 7no trend
Namibia77.70.293 of 7no trend
Nepal69.50.293 of 7no trend
Netherlands85.10.293 of 7no trend
New Zealand84.80.495 of 7no trend
Nicaragua34.70.425 of 7no trend
Nigeria44.50.505 of 7no trend
North Macedonia50.60.495 of 7no trend
Norway91.30.505 of 7no trend
Pakistan51.30.485 of 7no trend
Panama71.90.293 of 7no trend
Papua New Guinea72.10.293 of 7no trend
Paraguay66.30.293 of 7no trend
Peru47.60.495 of 7no trend
Philippines47.50.495 of 7no trend
Poland57.20.505 of 7no trend
Portugal59.40.495 of 7no trend
Republic of the Congo54.30.293 of 7no trend
Romania81.60.293 of 7no trend
Russia52.00.253 of 7no trend
Rwanda68.50.293 of 7no trend
Serbia67.10.293 of 7no trend
Singapore70.40.495 of 7no trend
Slovakia78.60.293 of 7no trend
Slovenia49.00.505 of 7no trend
South Africa83.50.263 of 7no trend
South Korea67.50.505 of 7no trend
Spain75.90.505 of 7no trend
Sri Lanka53.60.293 of 7no trend
Sudan47.30.203 of 7no trend
Sweden89.40.505 of 7no trend
Switzerland82.60.505 of 7no trend
Tajikistan39.80.505 of 7no trend
Tanzania80.20.293 of 7no trend
Thailand56.60.505 of 7no trend
Trinidad and Tobago50.80.293 of 7no trend
Tunisia48.50.505 of 7no trend
Turkey46.20.505 of 7no trend
Uganda60.40.293 of 7no trend
Ukraine47.90.253 of 7no trend
United Arab Emirates47.90.162 of 7no trend
United Kingdom90.50.293 of 7no trend
United States69.90.505 of 7no trend
Uruguay58.70.505 of 7no trend
Uzbekistan52.00.505 of 7no trend
Venezuela23.80.374 of 7no trend
Vietnam42.90.495 of 7no trend
Zambia75.30.293 of 7no trend
Zimbabwe30.20.505 of 7no trend

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.

Trust indicators

10 indicators define this capability. Gaps and retired rows remain because they lower confidence. Click a heading to sort.

  • 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.

Trust

Trust indicators
Note
Bribery incidencedownstream outcome% of firmslower is betterWorld Bank0.50Whether the rules hold where a firm meets the state as a stranger. Experience rather than reputation: the firm is asked whether it was itself asked, so it is not the perception composite D23 retired. World Bank Enterprise Surveys, which now run in high-income economies too. Respondent reticence is the known weakness: a firm may not report a request to a survey, so a low value can be a cautious answer. Held out as a check on income grounds under D60 and scored since D123.
Control of corruptionretiredperception proxyz-score -2.5 to 2.5higher is betterWorld Bank0.55Retired 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.
Cooperation beyond the in-groupperception proxy% expressing trusthigher is betterJoint EVS/WVS0.15The 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 rateno datasetdownstream outcome% of incoming caseshigher is betterCEPEJ / OECD / national court statistics0.20Whether 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.
Generalised interpersonal trustperception proxy% agreeinghigher is betterJoint EVS/WVS0.25Share 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.
Government compliance with the courtsdownstream outcomescale 0-4 (never to always)higher is betterV-Dem0.40Whether the rules bind the strongest party: a stranger can rely on a ruling only if the state obeys the ones it loses. V-Dem v16 compliance with judiciary (v2jucomp), the measurement-model estimate on the original 0 to 4 scale, 2025. It is expert-coded, so read it as a judgement, but of one public act (a ruling and the government's response are both on the record), not of a country's reputation for clean rules, which is what separated it from the WGI composites D23 retired. It is one of five inputs to V-Dem's judicial constraints index, which feeds the WGI rule of law estimate through the liberal component, so it is not independent of what D23 retired. It reads democracy closely (r 0.88 with the electoral democracy index): closed and electoral autocracies read low, not high, but a state whose courts seldom rule against it can read high on few contested rulings, which is the likeliest reading of Singapore. See D131.
Intentional homicide rateretireddownstream outcomeper 100,000 peoplelower is betterWorld Bank0.35Added 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.
Rule of lawretiredperception proxyz-score -2.5 to 2.5higher is betterWorld Bank0.55Retired 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.
Time to enforce a contractdirect capability measuredayslower is betterWorld Bank0.20Confidence in contracts, measured as court throughput rather than opinion. Frozen at 2019.
Trust in public institutionsno datasetperception proxy% expressing confidencehigher is betterOECD Trust Survey / WVS0.20The 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.

A check beside the score

This check measures something real about the capability, but it does not meet the model's test for scoring. Country pages show its value.

  • Confidence in the courtsJoint EVS/WVS (E069_17), 71 of 125 countries, latest 2022

    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.

Documented examples

These records describe something a country has done that this capability should capture. They stay outside the score because one case is not a comparable series.

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.

  • Brazillinked to Trust in public institutionsstarted 2001still operating

    Cadastro Único, the unified social registry

    Since 2001, Cadastro Único has identified and characterized low-income families across Brazil and has become the entry point for more than 40 federal, state and municipal social programmes.

    40 programmes, social programmes using the registry, 2026. Ministry of Development and Social Assistance, Cadastro Único, retrieved 2026-08-29.

    How it worked: One shared identity and needs record lets multiple programmes see the same household, reducing the need for each programme to build its own eligibility system and making the state more legible to people it serves.

    Limits: A registry and its programme count show administrative reach, not whether citizens trust the state or whether benefits arrive accurately and on time. The source is the ministry responsible for the registry, and coverage depends on families keeping their records current.

  • Brazillinked to Trust in public institutionsstarted 2004still operating

    Portal da Transparência, the federal open-books system

    Launched in 2004, Portal da Transparência has spent 20 years publishing federal revenue, expenditure, personnel and transfer information so citizens can inspect how public money is used.

    20 years, years since launch, 2024. Controladoria-Geral da União, Portal da Transparência, retrieved 2026-08-29.

    How it worked: The government turns its own administrative records into a public interface, so oversight can begin with the same transaction detail that the bureaucracy uses to execute and audit spending.

    Limits: Publication creates the possibility of scrutiny, not evidence that people use the data or trust the institutions being scrutinized. The portal mainly covers federal government execution and excludes some state-owned and non-federal activity.

  • South Korealinked to Trust in public institutionsstarted 2023still operating

    MyData, citizen-directed data portability

    South Korea's MyData policy gives people a route to request and direct the transfer of personal data between services, with the Personal Information Protection Commission describing the scheme as a way to give people control over data portability after the March 2023 legal amendment.

    2023 year, year of the legal amendment establishing the data portability right, 2023. Personal Information Protection Commission, MyData policy notice, retrieved 2026-08-30.

    How it worked: The state gives people a legal route to move their own data between providers, shifting data access from a private platform choice toward a user-directed right.

    Limits: A portability right shows a legal design for user control, not whether people understand it, use it safely or receive better services. The policy notice describes the legal framework and is not an independent assessment of outcomes.

  • Singaporelinked to Court case clearance ratestarted 2006still operating

    Singapore Courts' case-clearance discipline

    Singapore's State Courts disposed of 21,816 civil cases against 20,358 filings in 2023, a 107% civil clearance rate; its Community Justice and Tribunals courts recorded a 99% clearance rate in the same year.

    107 % of incoming civil cases, state courts civil-case clearance rate, 2023. 99 % of incoming cases, community justice and tribunals clearance rate, 2023. Singapore Judiciary, Caseload statistics 2023, retrieved 2026-08-31.

    How it worked: Singapore Courts publish workload by court and case type, set clearance as a management measure and combine procedural reform with specialised tribunals and dispute-resolution pathways. The public series makes backlogs visible while the court system can shift suitable disputes into faster channels without pretending that every case is the same.

    Limits: Clearance is disposals divided by filings in the same year, so it can exceed 100% when courts work through earlier stock; it does not show timeliness, fairness, legal-aid access, enforcement or the quality of decisions. The Singapore figures cover court workloads and are not a comparable cross-country civil-justice index without harmonised case definitions.

  • Portugallinked to Court case clearance ratestarted 2013still operating

    Civil-court clearance and the CEPEJ monitoring series

    The CEPEJ Portugal country fiche records a 96.1% clearance rate for civil and commercial litigious cases at first instance in 2023, alongside 101.1% at second instance and 105.5% at the Supreme Court; first-instance disposition time was 267 days.

    96.1 % of incoming cases, first-instance civil and commercial clearance rate, 2023. 267 days, first-instance disposition time, 2023. European Commission for the Efficiency of Justice (CEPEJ), Portugal country fiche, retrieved 2026-09-02.

    How it worked: Portugal's courts feed case-flow data into a recurring national and European monitoring framework, making incoming, resolved and pending civil cases visible by instance and allowing backlog pressure to be compared over time.

    Limits: The clearance rate is an administrative throughput measure for one year and one case class, not a judgment-quality, access-to-justice or public-trust measure. Disposition time is a theoretical estimate derived from pending and resolved cases, and rates differ sharply by court instance; CEPEJ republishes national data and the fiche cannot identify which reforms or court-management practices caused the result.

Read how the benchmark turns an indicator into a score on the method page. The limits page records where this capability is still poorly observed.