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MGNREGA Employment Analysis – West Bengal

πŸ“Œ About

Analysis of age-wise employment patterns in rural West Bengal under MGNREGA across financial years 2018-19 to 2021-22, focusing on pandemic-era employment shifts and dependency quotient across age groups.

πŸ“Š Interactive Tableau Dashboard

πŸ‘‰ View Live Tableau Dashboard

🌐 Interactive HTML Dashboard

πŸ‘‰ View HTML Dashboard

πŸ“ Project Structure

  • data/ β€” Raw MGNREGA data (2018-19 to 2021-22)
  • scripts/ β€” Data cleaning and SQL analysis scripts
  • dashboard.html β€” Interactive HTML visualization

πŸ” Key Findings

  • Employment peaked in 2019-20 across all age groups

  • Sharp decline in 2020-21 due to COVID-19 pandemic

  • 41-50 age group consistently had highest employment

  • 24 Parganas South leads district-wise employment

    • Dependency Quotient declined from 3.28 β†’ 2.81 during COVID-19
  • Dependent population (61+) became MORE economically active during pandemic

  • This contradicts the expected demographic dividend pattern

πŸ“‰ Dependency Quotient Analysis

Financial Year DQ Value Interpretation
2018-19 3.28 Pre-pandemic baseline
2019-20 2.85 Early pandemic onset
2020-21 2.81 Peak COVID impact
2021-22 3.08 Partial recovery

Formula: DQ = Avg % Employment of Working Age (18–60) Γ· Avg % Employment of Dependent Age (61+)

Key Finding: The declining DQ trend during pandemic years indicates that the dependent population increasingly contributed to rural household economics when working-age members lost urban employment β€” contradicting the projected demographic dividend pattern.

πŸ› οΈ Tools Used

  • Python (Pandas) β€” Data cleaning
  • SQL β€” Data analysis
  • Tableau Public β€” Interactive visualization
  • HTML/CSS/JavaScript β€” Web dashboard

πŸ“Œ Data Source

Ministry of Rural Development, Government of India β€” MGNREGA Portal

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