The Impact of Demographic Shifts on Global Economy and Fiscal Stability

Overview

This project analyzes the impact of demographic shifts on the global economy and fiscal stability. It uses data from reputable sources to examine relationships between demographic changes and economic variables such as GDP, debt levels, and labor markets.

Table of Contents

• The Impact of Demographic Shifts on Global Economy and Fiscal Stability
  • Overview
  • Table of Contents
  • Introduction
  • Data Collection
  • Data Analysis
  • Visualization
  • Conclusion
  • Requirements
  • Installation
  • Usage
  • References
  • Disclaimer

Introduction

This Jupyter Notebook collects and analyzes data on global demographic trends, economic indicators, and other relevant factors to validate the analysis of how demographic shifts impact the global economy and fiscal stability.

Data Collection

Data is collected from the following sources:

• United Nations World Population Prospects
• World Bank
• International Monetary Fund (IMF)
• Organisation for Economic Co-operation and Development (OECD)

Key datasets include:

• Population by age group
• Fertility rates
• GDP and debt levels
• Labor force participation rates
• Healthcare expenditure

Data Analysis

The analysis covers:

• Demographic trends (aging population, declining birth rates)
• GDP-to-Debt ratio analysis
• Labor market analysis
• Healthcare expenditure analysis

Visualization

The project includes visualizations for:

• Aging population over time
• Fertility rate trends
• Debt-to-GDP ratio trends
• Labor force participation rate trends
• Healthcare expenditure trends

Conclusion

The analysis supports the view that demographic shifts, particularly aging populations and declining birth rates, are impacting economic variables such as debt levels, labor markets, and healthcare systems.

Requirements

• Python 3.x
• Pandas
• Matplotlib
• Altair
• Numpy
• Seaborn

Installation

1. Clone this repository:

   git clone https://github.com/DJ-Greenwood/Population-decline.git
   

2. Install the required packages:

   pip install -r requirements.txt
   

Usage

1. Ensure all required datasets are downloaded and placed in the appropriate directories.
2. Open the Jupyter Notebook:

   jupyter notebook demographic_shifts_analysis.ipynb
   

3. Run each cell in order to reproduce the analysis.

References

1. United Nations Department of Economic and Social Affairs (UN DESA), World Population Prospects
2. World Bank Open Data
3. International Monetary Fund (IMF) Data
4. Organisation for Economic Co-operation and Development (OECD) Statistics
5. International Labour Organization (ILO) Data
6. World Health Organization (WHO) Global Health Expenditure Database

Disclaimer

This notebook is for educational purposes and provides a simplified analysis based on publicly available data. For policy-making or in-depth economic analysis, consult with experts and access comprehensive datasets.