Government Trust Survey
Also known as: Trust in Government Survey, Public Trust Measurement, Institutional Trust Survey, Confidence in Public Institutions Survey
A government trust survey is a population-based survey instrument for measuring how much citizens trust their public institutions and identifying the drivers of that trust. Building on the OECD's Trust in Government work, modern instruments treat trust not as a single mood but as a set of measurable expectations: that government is competent and reliable in delivering services, and that it acts on values such as integrity, openness, fairness and responsiveness. By surveying a representative sample of the population, weighting responses to the population, and analyzing trust alongside its drivers, the method produces comparable indicators that diagnose where and why public trust is high or low and what policy levers might raise it.
Key highlights
- Decomposes trust into measurable competence and values drivers, turning a diffuse sentiment into actionable diagnostic information.
- Population-weighted probability sampling yields estimates that generalize to the public and support rigorous subgroup and trend analysis.
- Alignment with OECD trust frameworks enables credible international benchmarking and comparison across jurisdictions.
- Repeated waves create a governance-feedback loop, allowing the trust effects of reforms to be tracked over time.
Intuition
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How it works
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When to use it
Use a government trust survey when policymakers need a representative, comparable measure of public trust and an evidence-based account of what is driving it, whether for national monitoring, international benchmarking, or evaluating the trust effects of reforms. It is well suited to repeated cross-sectional monitoring and to linking trust to specific institutional behaviors. The method assumes a sound probability sample, that respondents can report trust meaningfully and reasonably candidly, and that the driver model captures the relevant determinants. It is less appropriate when only a non-representative convenience sample is available, when sample sizes are too small for reliable subgroup estimates, or when the question is about a specific service encounter rather than systemic trust, where a service-quality instrument fits better.
Strengths & limitations
- Decomposes trust into measurable competence and values drivers, turning a diffuse sentiment into actionable diagnostic information.
- Population-weighted probability sampling yields estimates that generalize to the public and support rigorous subgroup and trend analysis.
- Alignment with OECD trust frameworks enables credible international benchmarking and comparison across jurisdictions.
- Repeated waves create a governance-feedback loop, allowing the trust effects of reforms to be tracked over time.
- Trust questions are sensitive to wording, survey mode and the political climate, so apparent changes can reflect measurement artifacts rather than real shifts.
- Cross-country comparison depends on measurement invariance, which is hard to guarantee given cultural and linguistic differences in how trust is understood.
- Survey measures capture stated trust, which may diverge from behavior such as compliance, and are vulnerable to social-desirability and nonresponse bias.
- Identifying drivers through correlational analysis cannot by itself establish that changing a driver will causally raise trust.
Common pitfalls
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Applications
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Frequently asked
What is the difference between trust in government and satisfaction with services?
Satisfaction is typically about a specific service experience, whereas trust is a broader, more durable expectation about whether institutions are competent and act on the right values. The OECD framework treats service reliability and responsiveness as competence drivers of trust, so satisfaction feeds into trust, but trust also depends on values drivers like integrity, openness and fairness that a service-satisfaction survey does not capture. A government can deliver decent services yet still suffer low trust if it is seen as corrupt or unresponsive to citizens' voice.
Why is the sampling design so important for a trust survey?
Because the goal is to describe the whole population's trust, the sample must be drawn by probability methods and weighted to the population; otherwise the result reflects whoever happened to respond rather than citizens at large. Trust often varies sharply by age, education, region and political alignment, so a non-representative sample can badly mislead. A rigorous design also ensures that comparisons across time and countries reflect real differences rather than differences in who was surveyed.
Can trust surveys be compared across countries?
They can, but only with care. Valid comparison requires measurement invariance — the trust items must mean the same thing across languages and cultures — plus consistent question wording, scales and modes. The OECD's standardized framework and guidelines were designed precisely to make cross-country comparison credible, and analysts test for invariance before drawing comparative conclusions. Without these safeguards, apparent international differences may be artifacts of measurement rather than genuine differences in trust.
Sources
- 1.OECD (2017). Trust and Public Policy: How Better Governance Can Help Rebuild Public Trust. OECD Public Governance Reviews. Paris: OECD Publishing. Trust in Government.
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Cite this page
ScholarGate. (2026, June 22). Government Trust Survey. ScholarGate. https://scholargate.app/public-administration/government-trust-survey