CorruptionRadar is an open-access platform hosting the Subnational Corruption Database. It separates grand from petty corruption at the sub-national level on a global scale - built from over 800 standardized household surveys and 1.3 million respondents.
Most corruption indices report a single national number. The Sub-National Corruption Index (SCI) splits corruption into two dimensions and brings the geography down to the regional level - where the policies that shape it are actually made.
How citizens perceive the integrity of senior officials, the political class, and the public sector at large - drawn from harmonized perception questions in Afrobarometer, Latinobarometro, the Global Corruption Barometer, the European Quality of Government Index, and dozens of national surveys. Reported on a 0-100 scale where 100 is least corrupt.
Methodology detailsWhether households actually paid bribes to access health, education, police, permits, or utility services in the past year - measured from direct experience questions in the same source surveys, harmonized across instruments and country contexts. Reported on the same 0-100 scale, separately from grand corruption.
Methodology detailsEmbedded from YouTube in privacy-enhanced mode. No cookies are set until you press play.
The database is browsable directly on this site - no account, no download required to look around. Every country has its own profile, every region has time-series data, and everything you see can be exported as CSV.
Click any country to open its profile. Filter by year, indicator, and region. Compare two countries side-by-side. Share a filtered view via URL.
Open the databasePrint-ready PNG and PDF versions of the headline maps and trend charts - properly captioned and source-attributed, suitable for citation in academic and policy work.
Browse visualsThe full data descriptor is open-access in Nature Scientific Data; the published datasets (Baseline, Comprehensive, SUB-CPI/SUB-CCI) are deposited on Figshare under CC BY 4.0.
Read the methodologyIf you use the SCD in your research, journalism, or policy work, please cite the data descriptor. The Figshare deposit is the canonical reference for the dataset itself; the Nature Scientific Data article is the canonical reference for the methodology.