Скачать или смотреть Visualizing Nepal's 2021 Census: Education & Migration Insights

Dive deep into the demographics of Nepal with this data visualization exploring key findings from the National Population and Housing Census 2021. Using Python (Pandas, Matplotlib, Seaborn), we've transformed raw census numbers into insightful charts revealing crucial trends in education levels and migration patterns across the country.

What you'll see in this video:

📊 Education Landscape: Visual breakdown of education levels (from Early Education to Postgraduate) across Nepal's provinces and ecological belts (Mountain, Hill, Tarai).
🏙️ Urban vs. Rural Divide: Clear comparison of higher education attainment and lack of formal education between urban and rural municipalities.
젠더 Gender Gaps: Analysis of the persistent gap between males and females in achieving Graduate and Postgraduate degrees across different regions.
✈️ Migration Patterns: Mapping internal ('Absentee - Country') vs. international ('Absentee - Abroad') migration rates by province and ecological belt.
🚻 Gender & Migration: Visual comparison showing the significant gender differences in who migrates internally versus internationally.
🎓 Brain Drain Link? A scatter plot exploring the potential correlation between higher education levels (SLC and above) and the tendency for international migration, particularly among males.
🔢 Migration Scale: Bar charts showing the absolute numbers of internal and international migrants from Nepal's diverse ecological regions.
This analysis highlights significant regional disparities, ongoing gender inequality in higher education, the massive scale of migration, and the challenge of 'brain drain' facing Nepal today.

Data Source: Nepal National Population and Housing Census 2021, National Statistics Office (NSO), Nepal.

Tools Used: Python (Pandas, Matplotlib, Seaborn)

What insights surprised you the most? What policies could help address these trends? Let us know in the comments below!

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