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Long-Run Trends in Global Institutional and Social Trust

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Tags and Keywords

Trust

Sociology

Economics

Survey

Global

Trusted By
Trusted by company1Trusted by company2Trusted by company3
Long-Run Trends in Global Institutional and Social Trust Dataset on Opendatabay data marketplace

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About

Understanding the global variations in social capital is essential for analysing how trust facilitates economic development and collective well-being. These records provide a detailed look at attitudinal survey results from across the globe, revealing the stark differences in how populations perceive the reliability of others. While high levels of trust are a hallmark of societies in regions like Scandinavia, other areas experience significantly lower levels of interpersonal confidence. This data allows for the exploration of how these attitudes correlate with religious upbringing and their causal impact on historical cross-country income levels. Furthermore, the information captures the long-run decline of public trust in government and institutions within specific Western contexts over several decades.

Columns

  • Entity: The name of the country or region where the trust survey was conducted, covering 118 unique locations.
  • Code: The standardised three-letter international identifier for each country, such as ARG for Argentina or DEU for Germany.
  • Year: The specific calendar year the survey data was recorded, spanning from 1984 to 2022.
  • Agree "Most people can be trusted": The percentage or share of respondents in a given year who agree with the statement that most people can be trusted.

Distribution

The information is delivered in a CSV file titled self-reported-trust-attitudes new.csv with a file size of 12.05 kB. It contains 424 valid records structured across 4 columns, showing a 100% validity rate with no missing or mismatched entries in the core fields. The records are expected to be updated on an annual basis to ensure continuity in tracking global social attitudes.

Usage

This resource is ideal for economic modelling to estimate the extent to which national income levels depend on social trust. It is well-suited for sociological research exploring the relationship between religious affiliation and interpersonal confidence. Additionally, analysts can use the data to benchmark trust in the police against trust in political or legal systems across different European nations. It also serves as a primary source for longitudinal studies tracking the decline of social capital in the United States over the last forty years.

Coverage

The geographic scope is global, featuring data for 118 unique countries including major European, South American, and North American nations. Temporally, the collection provides annual snapshots starting in 1984 and continuing through 2022. The data reflects attitudinal survey responses, providing a broad view of self-reported trust levels across diverse cultural and political landscapes.

License

CC0: Public Domain

Who Can Use It

Economists can leverage these metrics to study trust as an instrumental variable for economic outcomes. Social scientists may utilise the trends to examine the persistent heterogeneity in trust attitudes across different cultures. Furthermore, policy makers and researchers can find this a valuable primary source for investigating the links between institutional performance and public trustworthiness.

Dataset Name Suggestions

  • Global Interpersonal Trust and Social Capital Index (1984-2022)
  • World Values Survey: Self-Reported Trust Attitudes
  • Long-Run Trends in Global Institutional and Social Trust
  • Cross-Country Trust Heterogeneity and Economic Impact Data
  • Global Registry of Public and Interpersonal Trust Metrics

Attributes

Listing Stats

VIEWS

1

DOWNLOADS

0

LISTED

30/12/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

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Free

Download Dataset in CSV Format