Project: World Population and Poverty Analysis

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Objective:
Analyze global population and poverty trends to understand how social, economic, and health factors have evolved, with a focus on their implications for global development.

Key Activities and Findings:

1. Global Population Growth:

   • Case Study on Poland:

     • Explored Poland's population trends since 1900, focusing on periods of growth and decline influenced by wars and economic changes.

     • Investigated relationships between fertility, life expectancy, and child mortality to understand factors affecting population growth.

   • Global Trends:

     • Identified declining fertility rates as a key driver of slowed population growth globally since the mid-20th century.

     • Created interactive visualizations showing global fertility and child mortality patterns.

2. Global Poverty:

   • Poverty Trends:

     • Examined the decline in extreme poverty rates globally, from 85% of the world population in 1800 to about 9% in 2018.

     • Highlighted the absolute number of people living in poverty, emphasizing resource allocation needs.

   • Country-Specific Analysis:

     • Built visualizations for poverty timelines in key countries, showcasing significant reductions in China and India while noting increases in countries like Nigeria.

3. Key Insights:

   • Population Growth: Slowing growth rates are linked to declining fertility rates rather than shorter life expectancy, as shown in Poland's case study.

   • Poverty Reduction: Decreases in global poverty are uneven, with significant progress in some countries counterbalanced by stagnation or increases in others.

Technologies Used:

• Languages & Libraries: Python (datascience, matplotlib, numpy)

• Data Sources: Gapminder datasets on population, fertility, life expectancy, and poverty