This thematic dataset offers a comprehensive overview of corruption-related variables, covering a wide range of issues including fraudulent practices, municipal corruption, corruption perceptions, and various sub-pillars such as public sector corruption, executive bribery, and judicial accountability. The dataset also includes information on the perception and experience of corruption across different sectors such as education, healthcare, media, and politics. Variables related to the enforcement of anti-corruption laws, public trust in institutions, and mechanisms for preventing corruption are also included.
The dataset offers a valuable resource for researchers, policymakers, and practitioners interested in studying the mechanisms, patterns, and consequences of corruption. By providing comprehensive and structured variables, this thematic dataset allows users to easily access top-quality data for social science research, without the need to merge or source variables independently.
This dataset includes one observation per country and year. Variables relating to the topic Corruption are merged to country and year identifiers from the Demscore Country-Year Output Unit. Please note that data for some variables in this dataset may have been collected at a different level of analysis.
| Version | 4 |
|---|---|
| Published | October 2024 |
| Formats | CSV, STATA, R |
