Global Economic and Population Indicators Dataset (Normalized Relational Structure, 1976–2025)

This dataset presents a normalized relational database of global economic and population indicators collected from publicly available international data sources, including organizations such as the World Bank and United Nations. The dataset focuses on key metrics such as economic performance indicators and demographic population measurements across multiple countries and years. The original raw datasets contained redundant, inconsistent, and unstructured attributes, which were transformed into a structured format through normalization techniques.

The database was designed using a relational model and normalized to reduce redundancy and improve data integrity. The final schema includes five primary tables: country, economic_indicator, economic_measurement, population_indicator, and population_measurement. Each table serves a specific purpose in organizing the data, with relationships defined using foreign keys to ensure referential integrity across entities.

The economic_measurement table captures country-level economic metrics by linking country codes with specific indicators and years. Similarly, the population_measurement table captures demographic data segmented by attributes such as age group, sex, category, and time. Supporting tables, such as economic_indicator and population_indicator, define the metadata and meaning behind each measurement.

This dataset is intended for academic and analytical purposes, enabling users to explore relationships between economic performance and demographic trends across countries. The normalized structure allows for efficient querying, scalability, and integration into analytical workflows such as machine learning, statistical analysis, and data visualization.