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Global Nationalism and Corruption Index
Data Science and Analytics
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About
This political science data explores the relationship between nationalist rhetoric used by leaders and corresponding levels of corruption and power abuse globally. It incorporates research originally featured in a briefing by The Economist titled "How cynical leaders are whipping up nationalism to win and abuse power." The data is crucial for analysing political systems, ideological trends, and long-term governance quality across countries and time.
Columns
The dataset includes 30 distinct columns combining geographical identifiers, time series, political measurements, and socioeconomic indicators:
- iso3c: The three-letter ISO country code, used as a primary identifier.
- year: The observation year, spanning from 1901 to 2022.
- country_name: The full name of the nation.
- top_ideology: The dominant ideology identified for the ruling regime (e.g., nationalist, restorative/conservative).
- nationalism: A quantitative measure derived from expert surveys related to the presence of nationalism ideology within the regime.
- corruption: A score reflecting perceived levels of public sector corruption, often derived from sources like the Corruption Perception Index.
- regime_use_of_ideology_measure: A scaled measure indicating how intensely regimes utilise ideology.
- wdi_population, wdi_gdppc_nominal, wdi_life_expectancy_at_birth: Various socioeconomic and demographic indicators sourced from World Development Indicators (WDI).
- ideology_is_nationalist_percent_of_experts: Detailed variables capturing expert consensus on specific ideological dimensions.
Distribution
The data is provided in CSV format, specifically named
nat_and_corruption.csv, which is approximately 3.48 MB in size. It contains 30 distinct columns across roughly 18,600 records. All rows are valid across key identifiers like country code and year, ensuring a robust structure for analysis.Usage
This product is ideal for academics researching political science and macro-level trends in governance. It can be used for modeling the relationship between specific ideological declarations (like nationalism) and institutional degradation (corruption). Furthermore, it is suitable for analysts performing political risk assessment and tracking historical shifts in ideological leadership and their impact on global stability.
Coverage
The geographic scope covers 174 unique nations worldwide. The temporal coverage is extensive, spanning over a century from 1901 up to 2022. Users should note that while core political variables are generally well-represented across the time series, several demographic and economic indicators drawn from the World Development Indicators often suffer from large percentages of missing data, particularly in the earlier decades.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
- Social Scientists: To test hypotheses concerning the erosion of democratic institutions linked to populist nationalism.
- Economists: To correlate political stability and corruption scores with macroeconomic indicators like GDP and poverty rates.
- Political Analysts: To understand the historical context of current geopolitical risks and leadership styles globally.
- Students: For dissertations and projects focusing on governance, ideology, and international relations.
Dataset Name Suggestions
- Global Nationalism and Corruption Index
- Political Ideology and Governance Trends 1901-2022
- Economist Briefing Data: Nationalist Corruption Analysis
Attributes
Original Data Source: Global Nationalism and Corruption Index
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