Anantam IASPost · 26 March 2026

Poverty Estimation in India: UPSC Indian Society Guide

Study Notes · General Studies · GS I · Indian Economy · Indian Society

UPSC guide on poverty estimation in India — Alagh, Lakdawala, Tendulkar, Rangarajan committees, MPI 2024, NITI Aayog estimates, and 2024-26 data.

How do we know who is poor? The answer has shaped Indian welfare since Independence. From Dadabhai Naoroji‘s 1901 subsistence calculations to NITI Aayog‘s MPI 2024, poverty estimation has evolved from a calorie-based yardstick to a multidimensional, outcome-based framework. For UPSC GS-I (poverty), GS-III (welfare economics), and Essay aspirants, understanding the genealogy of poverty lines is essential.

The Conceptual Framework

A poverty line is the monetary value of normative expenditure required for basic needs. It translates to the minimum income a person or family needs to avoid deprivation. Poverty can be measured in three broad ways:

ApproachFocus
Income/consumption-basedExpenditure on food and non-food baskets
Capability-based (Amartya Sen)Freedoms and functionings
MultidimensionalHealth, education, standard of living

Pre-Independence Estimates

Post-Independence Committees

Working Group (1962)

Y.K. Alagh Committee (1979)

Lakdawala Expert Group (1993)

Tendulkar Expert Group (2009)

A paradigmatic shift:

Rangarajan Committee (2014)

India's Situation: Multidimensional Poverty

Limitations of Monetary Poverty Lines

Multidimensional Poverty Index (MPI)

The MPI, developed by UNDP and OPHI, uses 10 indicators across 3 dimensions:

DimensionIndicatorsWeight
HealthNutrition, child mortality1/3
EducationYears of schooling, school attendance1/3
Standard of LivingCooking fuel, sanitation, drinking water, electricity, housing, assets1/3

MPI is the product of the incidence (H) and intensity (A) of multidimensional poverty: MPI = H × A.

NITI Aayog's India MPI

NITI Aayog adapted global MPI for India with 12 indicators across 3 dimensions, adding maternal health and bank account ownership.

YearIndia's MPI Headcount
2005-0655.3%
2015-1624.85%
2019-2114.96%
2022-2311.28%

This reflects the fastest poverty reduction among major economies.

Socio-Economic Caste Census (SECC) 2011

SECC Limitations

Government Schemes and Institutional Framework

InstrumentPurpose
Planning Commission → NITI AayogEstimates, coordination
NSSO Consumption Expenditure SurveysData base
SECC 2011Welfare targeting
India MPI (NITI Aayog)Multidimensional poverty tracking
PMAY-G, PMAY-UHousing
Ayushman BharatHealth
PM-KISANFarmer income
PDS & NFSA 2013Food security
MGNREGA 2005Rural employment
Aspirational Districts Programme112 backward districts

Challenges in Poverty Estimation

Latest Developments (2024-26)

UPSC Relevance

Your answer should:

  1. Trace the historical evolution of poverty estimation — calorie-based → outcome-based → multidimensional.
  2. Cite Tendulkar, Rangarajan, and MPI data as empirical anchors.
  3. Invoke Amartya Sen's capability approach for theoretical grounding.
  4. Link poverty measurement to welfare targeting — PMAY, PM-JAY, PM POSHAN.
  5. Argue for a unified, transparent, regularly updated poverty measurement framework that combines income, consumption, and multidimensional approaches.

India's unprecedented decline in multidimensional poverty — from 55% (2005-06) to 11% (2022-23) — is a developmental achievement. But averages conceal inequities. The next generation of poverty measurement must be granular, caste-disaggregated, gender-aware, and geographically sensitive — so welfare reaches the last mile, not just the national average.