Poverty Estimation in India: Key Insights from 2023-24

Why in the News?

The 2023-24 Household Consumption Expenditure Survey (HECS) reveals significant trends in poverty and economic well-being in India. This article provides an in-depth look at its findings, methods, challenges, and recommendations, optimized for search engines to enhance visibility and engagement.

Key Findings of HECS 2023-24

• Purpose of HECS: The survey aims to collect household expenditure data, update the Consumer Price Index (CPI) basket, and measure poverty and inequality.
• Average Monthly Per Capita Consumption Expenditure (MPCE):
  • Rural: ₹4,122 (without imputation), ₹4,247 (with imputation).
  • Urban: ₹6,996 (without imputation), ₹7,078 (with imputation).
• Urban-Rural Gap: The gap in MPCE reduced from 84% in 2011-12 to 70% in 2023-24, reflecting stronger rural consumption growth.
• Consumption Trends:
  • Non-food items make up 53% (rural) and 60% (urban) of MPCE.
  • Major expenses:
    • Food: Beverages, refreshments, and processed foods.
    • Non-Food: Conveyance, clothing, entertainment, and durable goods.
• Inequality Reduction: The Gini coefficient dropped to 0.237 (rural) and 0.284 (urban), indicating reduced consumption inequality compared to 2022-23.
• Poverty Trends: The bottom 5-10% of the population experienced the highest MPCE increase, signaling improvements for lower-income groups.​

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Methods of Poverty Estimation in India

1. Consumption-Based Poverty Line:

• India’s poverty estimation relies on consumption expenditure rather than income, ensuring stability over time, especially for self-employed individuals and daily wage earners.

2. Data Collection by NSSO:

• The National Sample Survey Office (NSSO), under the Ministry of Statistics and Programme Implementation (MOSPI), gathers consumption data for calculating the poverty line.

3. Role of NITI Aayog:

• NITI Aayog oversees poverty estimation based on expenditure patterns derived from NSSO data.

4. Absolute vs. Relative Poverty:

• Absolute Poverty: Defined by minimum expenditure required for basic needs.
• Relative Poverty: Compares household incomes against national economic standards.

5. Reference Periods:

• Uniform Reference Period (URP): Data collected for a uniform 30-day period.
• Mixed Reference Period (MRP): Combines 30-day and 365-day data for a more comprehensive view.

History of Poverty Estimation in India

• Pre-Independence:
  • Dadabhai Naoroji: Estimated poverty at ₹16-₹35 per capita per year.
  • National Planning Committee (1938): Proposed ₹15-₹20 per capita per month.
  • Bombay Plan (1944): Suggested ₹75 per capita annually.
• Post-Independence:
  • Systematic poverty measurement began in 1950, with a focus on food-based poverty lines.

Major Committees on Poverty Estimation:

1. Alagh Committee (1979):
   • Set calorie-based poverty lines (2,400 calories rural, 2,100 urban).
2. Lakdawala Committee (1993):
   • Linked poverty lines to state-specific prices, retaining calorie norms.
3. Tendulkar Committee (2009):
   • Broadened expenditure patterns, including health and education.
   • Estimated poverty at 21.9% in 2011-12.
4. Rangarajan Committee (2014):
   • Revised poverty lines (₹32 rural, ₹47 urban daily).
   • Estimated poverty at 29.5% in 2011-12.

Challenges in Poverty Estimation

1. Data Comparability:

• Inconsistent methodologies (URP, MRP) hinder year-to-year comparisons.

2. Divergent Data Sets:

• Differences between NSSO and National Accounts data question reliability.

3. Unclear Poverty Lines:

• Lack of standardization in poverty line updates.

4. Rural-Urban Divide:

• Definitions of rural and urban areas are outdated, based on the 2011 Census.

5. Multidimensional Gaps:

• Indicators in the Multidimensional Poverty Index (MPI) overlook future vulnerabilities.

6. Exclusion of Income Vulnerability:

• Current frameworks lack provisions for income volatility and risks.

7. Policy Criticism:

• Over-reliance on selective data may inflate poverty reduction estimates.

International Standards and Practices

• World Bank:
  • Uses $2.15/day (2022) as the international poverty line.
• UNDP:
  • Employs the Multidimensional Poverty Index (MPI).
• OECD:
  • Focuses on relative poverty to measure income inequality.
• Best Practices:
  • Countries like Brazil (Bolsa Familia) and Mexico implement targeted cash transfer programs.

Way Forward for India

1. Standardize Methodologies:

• Adopt a unified approach for consistent and reliable comparisons.

2. Update Poverty Line:

• Reflect changes in consumption and broader well-being.

3. Enhance Data Collection:

• Conduct frequent, comprehensive surveys using technology like GIS mapping.

4. Broaden Indicators:

• Include health, education, and housing in poverty metrics.

5. Strengthen Urban Policies:

• Develop targeted strategies for housing and informal employment.

6. Promote Social Safety Nets:

• Expand schemes like conditional cash transfers and universal basic income.

7. Localized Interventions:

• Tailor policies to address regional disparities and specific needs.

8. Learn from Global Practices:

• Adapt successful models like Bolsa Familia to India’s context.