ArticleScientific data2024
The Subnational Corruption Database: Grand and petty corruption in 1,473 regions of 178 countries, 1995-2022.
Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- The MERGE Dataset: A Harmonized Global Resource for Climate Disaster Impacts and Human Vulnerability.Scientific data · 2026Article
- Projections of climate change vulnerability along the Shared Socioeconomic Pathways 2020-2100.Scientific data · 2025Article
- The Subnational Corruption Database: Grand and petty corruption in 1,473 regions of 178 countries, 1995-2022.Scientific data · 2024Article
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Authors and funding
2 authors.
Funding
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Abstract
This data descriptor presents the Subnational Corruption Database (SCD), which provides data on corruption in 1,473 subnational areas of 178 countries. The SCD includes a comprehensive overall corruption index, the Subnational Corruption Index (SCI), and its two components: the Subnational Grand Corruption Index (SGCI) and Subnational Petty Corruption Index (SPCI). The SCD is constructed by combining data of 807 surveys held in the period 1995-2022 and includes the corruption experiences and perceptions of 1,326,656 respondents along 19 separate dimensions. The data are available for multiple years, allowing longitudinal analyses. At the national level, the SCI correlates strongly with established corruption indices, like the Transparency International Corruption Perceptions Index (CPI) and the World Bank Control of Corruption Index (CCI). We create subnational estimates of the CPI and CCI by superimposing the subnational variation of the SCI around the national averages of these indices. The presentation of subnational data in the SCD and the separation between grand and petty corruption significantly broaden the global knowledge base in the field of corruption.
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Registered trials
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