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MGNREGA Employment Analysis – West Bengal

📌 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.

📊 Interactive Tableau Dashboard

👉 View Live Tableau Dashboard

🌐 Interactive HTML Dashboard

👉 View HTML Dashboard

📁 Project Structure

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

🔍 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 → 2.81 during COVID-19
  • Dependent population (61+) became MORE economically active during pandemic

  • This contradicts the expected demographic dividend pattern

📉 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) ÷ 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 — contradicting the projected demographic dividend pattern.

🛠️ Tools Used

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

📌 Data Source

Ministry of Rural Development, Government of India — MGNREGA Portal

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