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Global Governance Corruption Perception Data
Government & Civic Records
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About
A detailed historical view of how corrupt each country’s public sector is perceived to be. It serves as a vital resource for assessing global governance standards and tracking long-term trends in public integrity. The dataset’s scope covers rankings and indicator scores over the past two decades, enabling longitudinal analysis of global anti-corruption efforts.
Columns
The data is segregated into multiple CSV files. The fields typically include country identification details, specific indicator scores, the year of measurement, and numerical rankings based on corruption perception. The columns in the Transparency International files are largely consistent, though minor variations exist, necessitating their split into active and legacy files. A separate documentation file is available to explain the indicators within the WGI data file specifically.
Distribution
The dataset is presented in a ready-to-use format, typically CSV. It is structured into four distinct files:
transparency_active.csv (covering 2012–2021 data), transparency_legacy.csv (covering 1995–2011 data), wgidataset.csv (covering 1996–2021 data), and wgidataset_readme.pdf (offering technical documentation). Specific counts for records or rows are not provided.Usage
Ideal applications include governmental policy analysis, academic research into global political economics, tracking global shifts in transparency, and historical analysis of corruption trends within the public sector. The dataset is suitable for comparative studies of how different governance indices correlate or diverge over time.
Coverage
The geographic scope includes corruption indicator data for 180 governments globally. The data timeline varies by file, generally spanning from 1995 up to 2021. The assessment is focused on the perceived corruption levels within the public sector, according to the observations of experts and the business community.
License
CC0: Public Domain
Who Can Use It
- Academics and Students: For research projects focusing on political science, sociology, and international relations.
- Journalists: For investigative reporting and analysis of governmental accountability and performance.
- Risk Analysts and Business Investors: For evaluating geopolitical risks, assessing market entry feasibility, and understanding governance stability in foreign nations.
Dataset Name Suggestions
- Global Governance Corruption Perception Data
- Transparency International and WGI Corruption Metrics
- Historical Country Corruption Ranking Dataset
- Worldwide Public Sector Integrity Indicators
Attributes
Original Data Source: Global Governance Corruption Perception Data
QUALITY