Poverty, unemployment & inequality: measurement and policy

The poverty line: a contested moving target

India's official poverty estimates rest on calorie-anchored consumption baskets measured by the National Sample Survey Office's (NSSO) consumer expenditure surveys. The benchmark calorie norms—2,400 kcal per capita per day rural, 2,100 urban—were fixed by the Y.K. Alagh Task Force (1979). Successive expert groups recalibrated the methodology:

• Lakdawala Committee (1993) retained calorie norms but used state-specific poverty lines updated by the CPI-Agricultural Labourers and CPI-Industrial Workers.
• Tendulkar Committee (2009) abandoned the pure calorie anchor for a wider basket including health and education, adopted the Mixed Reference Period, and set lines that yielded 37.2% poverty in 2004-05, later revised to 21.9% for 2011-12 (₹816 rural, ₹1,000 urban monthly per capita).
• Rangarajan Committee (2014) raised the threshold (₹972 rural, ₹1,407 urban), producing 29.5% for 2011-12—roughly 93 million more poor than Tendulkar.

The government has accepted neither the Rangarajan numbers officially nor produced a fresh poverty line since, because the 2017-18 Consumer Expenditure Survey was junked over data-quality concerns. The Household Consumption Expenditure Survey (HCES) 2022-23, released in 2024, is the first comprehensive consumption dataset in over a decade.

Multidimensional poverty

The NITI Aayog National Multidimensional Poverty Index (MPI), built on the global Alkire-Foster method (Oxford OPHI and UNDP), measures deprivation across three dimensions and twelve indicators—health (nutrition, child/adolescent mortality, maternal health), education (years of schooling, attendance) and standard of living (cooking fuel, sanitation, drinking water, electricity, housing, assets, bank accounts). NITI Aayog's 2023 National MPI: A Progress Review reported multidimensional poverty falling from 24.85% (2015-16) to 14.96% (2019-21), with a claim of about 135 million escaping poverty between 2015-16 and 2019-21. A candidate must distinguish headcount ratio (proportion poor) from intensity (average deprivation among the poor); the MPI is their product (M0 = H × A).

Inequality metrics

Inequality is captured by the Lorenz curve and the Gini coefficient (0 = perfect equality, 1 = perfect inequality). India's consumption Gini is comparatively moderate (~0.32-0.36), but wealth and income Gini are far higher; the World Inequality Lab (Chancel, Piketty et al., 2024) estimated the top 1% held about 22.6% of income and 40.1% of wealth in 2022-23, the highest concentration in over a century. Retain the distinction: consumption inequality understates the disparity that income and wealth measures expose.

How India measures jobs

The Periodic Labour Force Survey (PLFS), launched by NSSO in 2017-18, replaced the quinquennial Employment-Unemployment Surveys and now reports annually (and quarterly for urban areas). Master the three core ratios:

• Labour Force Participation Rate (LFPR) — share of working-age population working or seeking work.
• Worker Population Ratio (WPR) — share actually employed.
• Unemployment Rate (UR) — unemployed as a share of the labour force.

These are measured on two reference periods: Usual Status (US, one-year recall) and Current Weekly Status (CWS, seven-day recall). PLFS 2022-23 reported all-India US unemployment of 3.2% with LFPR rising to 57.9%—a sharp climb in female participation, partly driven by unpaid family labour and self-employment in agriculture, which examiners flag as a quality-of-work caveat.

Types of unemployment to retain

• Disguised unemployment — surplus labour, marginal product near zero (classic in Indian agriculture; the Lewis dual-sector model frames the transfer to industry).
• Structural — mismatch of skills and jobs.
• Frictional — transitional, between jobs.
• Seasonal — agrarian cyclicality.
• Cyclical — demand-deficient, linked to the business cycle.

Note that India's problem is less open unemployment than underemployment, low female LFPR, and informality: over 90% of the workforce is informal, and the Economic Survey repeatedly stresses jobless growth concerns.

Policy architecture

The employment-and-poverty policy stack spans rights, transfers and credit:

• MGNREGA (2005) — statutory guarantee of 100 days of unskilled rural wage employment per household; a demand-driven safety net.
• National Food Security Act (2013) — legal entitlement to subsidised grain for ~67% of the population via the PDS.
• Deen Dayal Upadhyaya Antyodaya Yojana–NRLM/NULM, PMGSY, PM Awas Yojana, Skill India / PMKVY (2015), Start-up India / Stand-up India, PM-KISAN (2019) income support, and PM SVANidhi for street vendors.
• Direct Benefit Transfer (DBT) riding the JAM trinity (Jan Dhan–Aadhaar–Mobile) to plug leakages.

Constitutionally, the Directive Principles—Article 39 (equitable distribution of material resources, no concentration of wealth), Article 41 (right to work), Article 43 (living wage)—anchor these interventions, while Article 38 mandates the State to minimise inequalities of income, status and opportunity.

Why this matters for the exam

This topic is a dual-paper workhorse. In Prelims GS, UPSC repeatedly tests which committee proposed what and which agency publishes which dataset. PYQs include the 2019 question on the purpose of the Multidimensional Poverty Index, recurring questions distinguishing Tendulkar vs Rangarajan methodologies, and statement-based questions on whether the MPI captures health and education (it does) or only income (it does not). A 2021 Prelims item tested the components of the Human Development Index versus the MPI—do not conflate them; HDI (UNDP, since 1990) uses life expectancy, education and GNI per capita, while the MPI counts deprivations at the household level.

In Mains GS-3, poverty, employment and inclusive growth form a standing theme. Past Mains questions include "It is argued that the strategy of inclusive growth is intended to meet the objectives of inclusiveness and sustainability together. Comment" (2019) and questions on whether MGNREGA has achieved its objectives. GS-2 overlaps via the welfare-scheme and Directive Principles angle, and GS-1 society via inequality and social-sector deprivation.

High-yield retention list

1. Calorie norms (Alagh 1979): 2,400 rural / 2,100 urban kcal.
2. Tendulkar (2009): 21.9% poverty in 2011-12; introduced MRP and a broader basket.
3. Rangarajan (2014): 29.5% in 2011-12; ₹972/₹1,407 lines.
4. MPI: 3 dimensions, 12 indicators, Alkire-Foster, M0 = H × A; NITI Aayog reported 14.96% in 2019-21.
5. PLFS (2017-18): LFPR, WPR, UR on Usual and Current Weekly Status.
6. Gini coefficient: 0 to 1; consumption Gini understates income/wealth inequality.
7. Article 38, 39(b)/(c), 41, 43 — the DPSP anchors.

How to write the answer

For a Mains answer on poverty or jobs, lead with the measurement debate (whose line, which survey), quantify with one or two dated figures, then pivot to policy critique: target leakage, informality, low female LFPR, jobless growth. Close with a constitutional or reform hook—universalised PDS versus targeting, conditional versus unconditional cash transfers, a universal basic income (debated in the Economic Survey 2016-17). Examiners reward the candidate who shows that numbers depend on method and that policy must match the diagnosis.