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Global After-Tax Gini Coefficient Data
Data Science and Analytics
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About
Inequality levels across the globe are quantified in this file, utilising the Gini coefficient to measure disparity on a scale from 0 to 1. Derived from the World Bank’s Poverty and Inequality Platform (PIP), the information aggregates household survey results to monitor global poverty and shared prosperity. The welfare measures employed represent a mix of after-tax income (predominantly for high-income nations) and consumption figures (typically for poorer nations). To facilitate absolute comparisons of living standards across different territories and timelines, all values have been converted into constant 2017 international dollars.
Columns
- Country: The name of the nation associated with the record (e.g., United States, United Kingdom). There are 195 unique countries represented.
- Year: The calendar year of the observation, ranging from 1963 to 2024.
- Gini coefficient: The calculated inequality metric, ranging from a minimum of approximately 0.18 to a maximum of 0.71.
Distribution
- Format: CSV
- Row Count: 2,705 valid records.
- Structure: The file contains three distinct columns. It is worth noting that approximately 16% of the records in the Gini coefficient column contain missing values.
Usage
- Economic Research: Analysing trends in wealth distribution and economic disparity over time.
- Policy Development: Informing government and NGO strategies regarding poverty reduction and shared prosperity.
- Academic Study: Teaching concepts of development economics and statistical measurement of inequality.
- Global Monitoring: Tracking progress towards international equity goals by comparing harmonised welfare statistics.
Coverage
- Geographic Scope: Global coverage involving 195 unique countries.
- Time Range: The data spans from 1963 to 2024.
- Methodological Notes: The dataset mixes income and consumption data depending on the country and year. Users should be aware that comparability may be limited across different survey "spells" within a country.
License
CC0: Public Domain
Who Can Use It
- Economists: For macro-economic modelling and inequality assessment.
- Data Journalists: To visualise global trends in wealth gaps.
- International Development Organisations: To target interventions and monitor country-level progress.
- Academic Researchers: For historical and cross-sectional studies on living standards.
Dataset Name Suggestions
- World Bank PIP Gini Inequality Index (1963-2024)
- Global After-Tax Gini Coefficient Data
- Historical World Income and Consumption Inequality Metrics
- Worldwide Economic Disparity Indicators
Attributes
Original Data Source: Global After-Tax Gini Coefficient Data
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