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📋 Case Study

The Interplay Between Economic Development, Environmental Factors & Food Security

PythonSQLPandasMatplotlibSeabornGeospatial

Project Overview

This project examines how economic development and environmental factors interact to shape food security outcomes across countries over time. By integrating multiple real-world datasets, the analysis explores whether economic growth consistently translates into improved food availability — and how environmental pressures complicate that relationship.

Datasets Used

  • FAOSTAT Food Balance Sheets (food supply & nutrition indicators)
  • World Bank World Development Indicators (GDP, GNI, inequality)
  • Environmental datasets (CO₂ and methane emissions indicators)
  • Food price inflation series across 180+ countries (1980–2023)

Data Cleaning & Integration

The analysis required extensive preprocessing: harmonizing country identifiers, aligning time ranges across datasets, handling missing values, and creating derived indicators at the country–year level. Multiple datasets were merged into a unified analytical structure to support cross-country and temporal comparisons.

Custom metrics were engineered to make the analysis concrete — including a Food Affordability Index and a Nutrient Supply Score — quantifying food security, inequality, and climate vulnerability in comparable terms.

Analysis & Visualization

Exploratory data analysis and visualization techniques were applied to examine trends, correlations, and distributional differences across income groups and regions. Time-series and geospatial visualizations (line plots, choropleths, scatter grids) were used to compare food availability metrics against economic and environmental indicators — highlighting structural patterns rather than isolated observations.

Key Insights

  • Economic development is associated with higher food availability, but the magnitude of improvement varies significantly across income groups and regions.
  • Upper-middle-income countries showed stronger marginal gains in food availability compared to high-income countries, where improvements tended to plateau.
  • Methane-heavy economies experienced 25–40% higher food price volatility — environmental indicators reveal real trade-offs.
  • Three major global food crisis periods were identified, and countries were classified into risk tiers for nutrition sustainability.
  • High-income countries exhibit distinct food security and sustainability patterns — economic growth alone does not guarantee environmentally balanced outcomes.

Conclusion

This project demonstrates how combining economic, environmental, and food system data provides a more nuanced understanding of global food security challenges. The findings highlight the importance of evaluating development outcomes through both social and environmental lenses when assessing long-term sustainability.