UPSC CSE 2026 Essay Paper Discussion
GS Paper 2 15 marks · 250w 14 min Medium

“The incedence and intensity of poverty are more important in determining poverty based on income alone”. In this context analyse the latest United Nations Multidimensional Poverty Index Report.

Subtopic: Social Justice · poverty measurement — Multidimensional Poverty Index

Model answer outline

How to structure your answer

Introduction → MPI formula: incidence (H) × intensity (A), Alkire-Foster method → Structure: 3 dimensions, 10 indicators, one-third cutoff → India's performance in recent UNDP-OPHI reports → Why incidence-plus-intensity beats income-only measurement; limitations → Conclusion
Full model answer

Written within the word limit

280 words · target 250 words · 14 min

Income poverty counts those below a money-metric line; the global Multidimensional Poverty Index (MPI), published by UNDP with the Oxford Poverty and Human Development Initiative using the Alkire-Foster method, instead multiplies the incidence of poverty (H — the share of people who are multidimensionally poor) by its intensity (A — the average share of weighted deprivations the poor actually suffer). This H × A design is precisely why incidence and intensity, rather than income alone, determine both who is poor and how deeply.

Structure of the index

  • Three equally weighted dimensions — health (nutrition, child mortality), education (years of schooling, school attendance) and living standards (cooking fuel, sanitation, drinking water, electricity, housing, assets).
  • A person deprived in one-third or more of the weighted indicators is counted as MPI-poor.

India in the recent UNDP-OPHI reports

  • About 415 million Indians exited multidimensional poverty between 2005-06 and 2019-21 — the largest recorded reduction anywhere.
  • Incidence fell from roughly 55% to about 16%, and intensity from around 47% to 42%; the poorest states, children and disadvantaged caste groups improved fastest, narrowing gaps.
  • Nutrition, cooking fuel and housing remain the biggest contributors to remaining deprivation, and rural poverty stays well above urban.
  • NITI Aayog's national MPI mirrors the trend, with headcount falling from about 25% in 2015-16 to about 15% in 2019-21.

Analytical significance and limits

  • The MPI exposes overlapping service deprivations that income measures miss, and supports targeting — the logic behind NITI Aayog's national MPI and the Aspirational Districts Programme.
  • But it omits income itself, depends on lagged NFHS survey rounds, and captures acute deprivation rather than vulnerability to relapse.

Read alongside consumption-based poverty lines, the MPI equips policy to attack not merely how many are poor, but how poor they are — the true measure of progress against deprivation.

Key points

What an examiner expects to see

  • MPI = H × A: incidence (headcount ratio of the multidimensionally poor) multiplied by intensity (average deprivation share) — the Alkire-Foster method.
  • Three equally weighted dimensions (health, education, living standards) across 10 indicators; deprivation in one-third of weighted indicators makes a person MPI-poor.
  • Headline finding: about 415 million Indians exited multidimensional poverty between 2005-06 and 2019-21; incidence fell from ~55% to ~16%.
  • Intensity also declined (roughly 47% to 42%), meaning the poor are less deeply deprived — a fact invisible to income-only measures.
  • Poorest states, children and disadvantaged groups improved fastest, indicating pro-poor convergence.
  • Nutrition, cooking fuel and housing dominate residual deprivation; rural incidence remains far above urban.
  • Limits: no income dimension, lagged NFHS data, and acute-poverty focus — so MPI must complement, not replace, consumption-based lines.
Examples to use

Concrete cases, schemes and judgments

  • UNDP-OPHI Global MPI reports (2022-2023) — 415 million Indians exiting poverty over 2005-06 to 2019-21
  • NITI Aayog's National MPI — headcount declining from about 25% (2015-16) to about 15% (2019-21)
  • NFHS-4 and NFHS-5 as the underlying data rounds
  • Aspirational Districts Programme as MPI-style targeting in practice
  • Ujjwala, Swachh Bharat, Jal Jeevan Mission and PMAY attacking specific MPI indicators
Keywords / terms

Terminology to weave into the answer

incidence and intensityAlkire-Foster methodheadcount ratiodeprivation cutoffnational MPImultidimensional poverty

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