BharatNotes Poverty Measurement in India
Poverty estimation in India has evolved through several expert committees, each using different methodologies and poverty lines.
Evolution of Poverty Measurement Committees
| Committee | Year | Methodology | Poverty Line (Monthly Per Capita) |
|---|---|---|---|
| Alagh Committee (Planning Commission) | 1979 | Calorie-based — 2,400 kcal (rural), 2,100 kcal (urban) per day | Based on 1973-74 consumption baskets |
| Lakdawala Committee | 1993 | Updated Alagh methodology; state-specific poverty lines using Consumer Price Index (CPI) | State-specific; anchored to 1973-74 basket |
| Tendulkar Committee | 2009 (report) | Shifted from calorie anchor to broader consumption basket; included health and education spending; used Mixed Reference Period (MRP) | Rs. 816/month rural (Rs. 27/day); Rs. 1,000/month urban (Rs. 33/day) — at 2011-12 prices |
| Rangarajan Committee | 2014 (report) | Modified Mixed Recall Period (MMRP); separate food and non-food baskets; restored calorie-protein norms; higher poverty line | Rs. 972/month rural (Rs. 32/day); Rs. 1,407/month urban (Rs. 47/day) — at 2011-12 prices |
Key Differences: Tendulkar vs Rangarajan
| Feature | Tendulkar | Rangarajan |
|---|---|---|
| Approach | Expenditure-based; moved away from calorie anchor | Restored calorie-protein norms + broader expenditure |
| Poverty line | Lower | 19% higher (rural), 41% higher (urban) |
| Poverty ratio (2011-12) | 21.9% | 29.5% |
| Poor population (2011-12) | ~269 million | ~363 million |
| Status | Used as official methodology | Report submitted; not formally accepted by government |
| Recall period | Mixed Reference Period (MRP) | Modified Mixed Recall Period (MMRP) |
Exam Tip: UPSC loves to test whether you know which poverty line is "official." As of 2026, there is NO officially accepted poverty line after Tendulkar. The Rangarajan Committee report was submitted in 2014 but the incoming government never accepted it. The Tendulkar line is effectively the last official benchmark, but NITI Aayog has pivoted entirely to MPI. If a question asks "how many poor in India?" — the answer depends entirely on which methodology you use. Always state the methodology before citing numbers.
Current Status
The Rangarajan Committee report was submitted in 2014 but was not formally accepted. No new poverty line has been officially adopted since the Tendulkar methodology. NITI Aayog (which replaced the Planning Commission in 2015) now focuses on the Multidimensional Poverty Index (MPI) as the primary measure of deprivation.
Multidimensional Poverty Index (MPI)
India adopted the National Multidimensional Poverty Index published by NITI Aayog, aligned with the global MPI framework developed by UNDP and Oxford Poverty and Human Development Initiative (OPHI).
MPI Framework — 3 Dimensions, 12 Indicators
| Dimension (Equal Weight: 1/3 each) | Indicators | Deprivation Threshold |
|---|---|---|
| Health | 1. Nutrition | Any household member is undernourished (BMI < 18.5 for adults; stunted children) |
| 2. Child & Adolescent Mortality | Any child or adolescent death in the household in the preceding 5 years | |
| 3. Maternal Health | Any woman who gave birth at home or without institutional care in preceding 5 years | |
| Education | 4. Years of Schooling | No household member aged 10+ has completed 6 years of schooling |
| 5. School Attendance | Any school-age child (6-14) not attending school | |
| Standard of Living | 6. Cooking Fuel | Uses dung, wood, charcoal, or coal for cooking |
| 7. Sanitation | No improved sanitation facility or shared facility | |
| 8. Drinking Water | No access to safe drinking water within 30 minutes round trip | |
| 9. Electricity | No electricity connection | |
| 10. Housing | Inadequate housing (mud, thatch, plastic roof/walls) | |
| 11. Assets | Does not own more than one of: radio, TV, telephone, computer, animal cart, bicycle, motorcycle, refrigerator, kisan card, motor car | |
| 12. Bank Account | No household member has a bank account |
A person is considered multidimensionally poor if deprived in at least one-third (33.33%) of the weighted indicators.
India's MPI Performance
| Metric | 2013-14 | 2022-23 | Change |
|---|---|---|---|
| MPI Headcount (% of population) | 29.17% | 11.28% | -17.89 percentage points |
| People escaping poverty | — | 24.82 crore (248.2 million) | Largest reduction globally |
| Rural poverty | 32.59% (2015-16) | 19.28% (2019-21) | Significant decline |
| Urban poverty | 8.65% (2015-16) | 5.27% (2019-21) | Decline |
Top States in Poverty Reduction
| State | People Escaping MPI Poverty |
|---|---|
| Uttar Pradesh | 5.94 crore |
| Bihar | 3.77 crore |
| Madhya Pradesh | ~3.5 crore |
| Rajasthan | ~2.5 crore |
NITI Aayog projected India would reach single-digit MPI poverty by 2024.
Inequality in India
Gini Coefficient
The Gini coefficient measures income or consumption inequality on a scale of 0 (perfect equality) to 1 (perfect inequality).
| Source | Gini Coefficient | Year |
|---|---|---|
| World Bank | 0.353 (consumption-based) | 2019 |
| Various estimates | 0.41 (income-based) | 2023 |
| HCES 2022-23 | Under analysis — new consumption survey data | 2022-23 |
Note: India's Gini varies widely depending on methodology (income vs consumption) and data source. Consumption-based Gini tends to be lower than income-based Gini.
Wealth Inequality
| Metric | Value |
|---|---|
| Top 1% wealth share | ~40.1% of total national wealth (2022-23) |
| Top 10% income share | ~57–60% of national income |
| Bottom 50% income share | ~13–15% of national income |
Oxfam Inequality Reports
Oxfam's annual reports (released during Davos) highlight extreme inequality in India:
| Key Finding | Details |
|---|---|
| Concentration at the top | Billionaire wealth has surged; termed "Billionaire Raj" |
| Recommendation | Comprehensive wealth tax on ultra-rich; increased social sector spending |
| Gender inequality | Women earn significantly less than men for comparable work; ownership of productive assets skewed |
| Caste and tribal dimensions | SC/ST households disproportionately represented among the poor |
Types of Inequality
| Type | Description | India Context |
|---|---|---|
| Income Inequality | Disparity in earnings across population | Rising since 2000s; inter-state and intra-state |
| Wealth Inequality | Unequal ownership of assets | Top 1% owns 40%+ of wealth |
| Spatial Inequality | Inter-regional disparity | Per-capita GSDP gap between rich and poor states widening |
| Gender Inequality | Gender-based economic disparity | Female LFPR rising (41.7% per PLFS 2023-24, from 23.3% in 2017-18); gender pay gap persists |
| Social Inequality | Caste/tribe based deprivation | SC/ST poverty rates higher than national average |
Unemployment in India
Types of Unemployment
| Type | Description | India Relevance |
|---|---|---|
| Structural | Mismatch between skills and job requirements | Major issue — educated youth lack employable skills |
| Frictional | Temporary unemployment while transitioning between jobs | Common in urban formal sector |
| Cyclical | Due to economic downturns | Seen during COVID-19 lockdowns |
| Seasonal | Periodic unemployment in agriculture-dependent regions | Dominant in rural India — post-harvest unemployment |
| Disguised | More workers employed than needed; marginal productivity near zero | Widespread in agriculture — key structural problem |
| Open Unemployment | Workers willing and able to work but cannot find jobs | Measured by PLFS |
| Underemployment | Workers employed below their capacity (in hours or skill level) | Very common; not fully captured in headline rates |
Key distinction: Disguised unemployment and underemployment are frequently confused. In disguised unemployment, removing a worker would NOT reduce total output (marginal productivity is zero). In underemployment, the worker IS contributing but below their capacity — either working fewer hours than desired or in a job below their skill level. A B.Tech graduate driving a cab is underemployed, not disguisedly unemployed. A family farm with 5 members doing the work of 2 has disguised unemployment. UPSC tests this difference directly.
Measuring Unemployment in India
| Agency | Survey/Data | Features |
|---|---|---|
| NSO (National Statistical Office) | Periodic Labour Force Survey (PLFS) | Official source; annual + quarterly + monthly bulletins; revamped methodology from January 2025 |
| CMIE (Centre for Monitoring Indian Economy) | Consumer Pyramids Household Survey (CPHS) | Private; more frequent; uses different methodology; often shows higher unemployment |
PLFS Latest Data (November 2025)
| Metric | Rate |
|---|---|
| Overall Unemployment Rate | 4.7% |
| Rural Unemployment | 3.9% |
| Urban Unemployment | 6.5% |
| Youth Unemployment (15-29) | 14.9% |
| Female Youth Unemployment | ~16.3% |
| Male Youth Unemployment | ~13.4% |
Unemployment Rate Trend
| Period | Unemployment Rate |
|---|---|
| June 2025 | 5.6% |
| September 2025 | 5.2% |
| October 2025 | 5.2% |
| November 2025 | 4.7% |
Key Structural Concerns
| Issue | Details |
|---|---|
| Jobless growth | GDP grows but formal employment creation lags; manufacturing not absorbing enough workers |
| Agriculture overshoot | ~42% of workforce still dependent on agriculture, which contributes only ~18% to GDP |
| Informal sector dominance | ~90% of workers are in the informal/unorganised sector |
| Female LFPR | Historically low — improved to ~41.7% (PLFS 2023-24) but still far below global average |
| Education-employment mismatch | Engineers, graduates unable to find suitable employment; curriculum-industry disconnect |
Employment Schemes
MGNREGA (Mahatma Gandhi National Rural Employment Guarantee Act, 2005)
| Feature | Details |
|---|---|
| Enacted | 2005 (came into force 2 February 2006) |
| Legal basis | Rights-based — legal guarantee of 100 days of wage employment per household per year |
| Coverage | All rural districts across India |
| Target | Adult members of rural households willing to do unskilled manual work |
| Demand-driven | Work must be provided within 15 days of demand; else unemployment allowance |
| Wages | Notified state-wise; linked to CPI-AL (revised annually); currently between Rs. 230–350/day depending on state |
| Budget 2025-26 | Rs. 86,000 crore (stagnant for 5th consecutive year) |
| Key works | Water conservation, drought proofing, land development, rural connectivity, flood control |
Remember: MGNREGA's unemployment allowance is a frequently missed detail. If the state fails to provide employment within 15 days, it must pay an unemployment allowance from its own funds (not Centre's). This creates a financial incentive for states to actually provide work. The allowance is 1/4th of the wage rate for the first 30 days and 1/2 for the remaining period. This is both a rights-based feature and a federalism question — states bear the penalty cost, not the Centre.
MGNREGA — Performance Issues
| Issue | Details |
|---|---|
| Average days of employment | ~19 days per active worker in FY 2025-26 (far below the 100-day guarantee) |
| Pending wages | Rs. 12,219 crore in unpaid wage liabilities (as of Feb 2025) |
| Pending material costs | Rs. 11,227 crore |
| Parliamentary committee recommendations | Increase guaranteed days from 100 to 150; link wages to a more accurate inflation index |
| Delayed payments | Violation of 15-day payment norm common; affects worker morale and programme credibility |
| Wage adequacy | Standing Committee flagged wages as "inadequate and not in consonance with the rising cost of living" |
PM Employment Generation Programme (PMEGP)
| Feature | Details |
|---|---|
| Implementing Agency | Khadi and Village Industries Commission (KVIC) |
| Objective | Generate employment through micro-enterprises in non-farm sectors |
| Subsidy | 25% of project cost for urban areas; 35% for rural (10% higher for special categories — SC/ST/OBC/women/PH/NER/border) |
| Maximum project cost | Rs. 50 lakh (manufacturing); Rs. 20 lakh (service sector) |
| Beneficiary contribution | 10% (general); 5% (special category) |
Other Employment-Related Schemes
| Scheme | Objective |
|---|---|
| PM Vishwakarma Yojana | Support for traditional artisans and craftspeople; skill training, toolkit, credit support |
| PM SVANidhi | Micro-credit for street vendors |
| National Apprenticeship Promotion Scheme (NAPS) | 49.12 lakh apprentices engaged (FY 2016-17 to Oct 2025); stipend support |
| Start-up India | Self-employment through entrepreneurship; tax benefits, seed fund, credit guarantee |
| PM Mudra Yojana | Micro-enterprise loans up to Rs. 10 lakh — Shishu, Kishore, Tarun categories |
| Garib Kalyan Rozgar Abhiyan | Post-COVID rural employment in 6 states for returned migrants |
Demographic Dividend
India has one of the youngest populations globally, with a median age of ~28 years. The demographic dividend refers to the economic growth potential from a rising working-age population relative to dependents.
| Feature | Details |
|---|---|
| Working-age population (15-64) | ~68% of total population |
| Demographic window | 2005-06 to ~2055-56 (peak benefit period) |
| Dependency ratio | Declining — fewer dependents per worker |
| Opportunity | Higher savings, investment, productivity, GDP growth |
| Risk if unrealised | "Demographic disaster" — mass unemployment, social unrest, wasted potential |
Conditions for Realising Demographic Dividend
| Condition | Status |
|---|---|
| Quality education | Improving but learning outcomes poor (ASER reports) |
| Skill development | PMKVY, NSDC operational but scale insufficient |
| Health and nutrition | Malnutrition rates still significant; NHM improving health access |
| Job creation | Manufacturing sector not generating enough employment; services-led growth |
| Female LFPR | Must increase from ~41.7% towards 50%+ for full dividend |
| Labour market flexibility | Labour code reforms underway but implementation slow |
Skill Development
Skill India Mission
Launched on 15 July 2015 (World Youth Skills Day) with the aim of training 40 crore+ youth by 2022.
| Institutional Framework | Role |
|---|---|
| MSDE (Ministry of Skill Development and Entrepreneurship) | Nodal ministry; policy formulation |
| NSDC (National Skill Development Corporation) | PPP model (49% government, 51% private); oversees training partners and centres |
| NSDA (National Skill Development Agency) | Coordination, quality assurance, NSQF alignment |
| NSQF (National Skills Qualifications Framework) | 10-level framework aligning education and skill levels |
| Sector Skill Councils (SSCs) | 37 SSCs for industry-specific skill standards |
PMKVY (Pradhan Mantri Kaushal Vikas Yojana)
| Phase | Period | Key Features |
|---|---|---|
| PMKVY 1.0 | 2015-16 | Short-term training; monetary reward on certification |
| PMKVY 2.0 | 2016-20 | Short-term training + Recognition of Prior Learning (RPL) + Special Projects |
| PMKVY 3.0 | 2021-22 | District-level planning; demand-driven; focus on new-age skills |
| PMKVY 4.0 | 2023-present | On-the-job training; industry partnerships; global skill mapping |
PMKVY — Performance Statistics (up to October 2025)
| Metric | Number |
|---|---|
| Total enrolled | 1.76 crore+ (17.6 million) |
| Total trained | 1.64 crore+ (16.4 million) |
| PMKVY 4.0 trained (by Dec 2025) | 27.08 lakh across 36 states, 732 districts (38 sectors) |
| Women participation | Increased from 42.7% (FY16) to 52.3% (FY24) |
| Income improvement (STT) | 15% rise in mean monthly income post-training |
| RPL income improvement | 19% higher income for certified vs non-certified |
| Placement rate | ~70.5% in respective skill sectors |
| Training centres operational | 13,715 centres; 6,496 training partners (Sep 2024) |
Gig Economy and Platform Workers
Scale and Growth
| Metric | Value |
|---|---|
| Current gig workforce (estimated) | ~15 million workers (delivery riders, cab drivers, freelancers, micro-taskers) |
| 2020-21 estimate | 7.7 million gig workers |
| Projected by 2029-30 | 2.35 crore (23.5 million) workers |
| Key platforms | Zomato, Swiggy, Ola, Uber, Urban Company, Flipkart, Amazon |
Legal Framework — Code on Social Security, 2020
The Code on Social Security, 2020 (one of four labour codes passed by Parliament) for the first time legally recognises gig workers and platform workers.
| Feature | Details |
|---|---|
| Definition — Gig Worker | A person who performs work outside traditional employer-employee relationship; earns from such activity |
| Definition — Platform Worker | A worker who accesses organisations/individuals through an online platform and provides services for payment |
| Social Security Fund | Aggregators must contribute 1–2% of annual turnover (capped at 5% of payments to workers) to a government-managed social security fund |
| Benefits | Voluntary access to ESI (Employees' State Insurance) and EPF (Employees' Provident Fund) for gig workers for the first time |
| Implementation | New labour codes came into effect in late 2025; 1 April 2026 is target for full operationalisation across states |
Challenges
| Challenge | Details |
|---|---|
| Classification ambiguity | Workers classified as "independent contractors" — denied employee benefits |
| Algorithmic management | Platform algorithms control work allocation, pricing, ratings — workers have little autonomy |
| Income instability | No guaranteed minimum income; earnings volatile and declining as platforms mature |
| Occupational hazards | Road accidents for delivery workers; no occupational health coverage |
| Social security access | Despite the Code, actual benefit delivery mechanisms remain unclear |
| Data privacy | Platforms collect extensive worker data; limited protections |
State-Level Initiatives
| State | Initiative |
|---|---|
| Rajasthan | Platform-Based Gig Workers (Registration and Welfare) Act, 2023 — first state law; welfare board, social security fund |
| Karnataka | Draft bill for gig worker protections under consideration |
Important for UPSC
Prelims Focus
- Poverty line amounts — Tendulkar (Rs. 816 rural, Rs. 1,000 urban per month) vs Rangarajan (Rs. 972 rural, Rs. 1,407 urban)
- MPI — 3 dimensions, 12 indicators; 33.33% deprivation threshold; NITI Aayog publishes it
- MGNREGA — 100 days guarantee; demand-driven; unemployment allowance; 2005 Act
- Types of unemployment — especially disguised unemployment
- PLFS — conducted by NSO (not CMIE); methodological revamp from January 2025
- PMKVY phases (1.0 to 4.0); NSDC as PPP body
- Gig worker definition under Code on Social Security 2020
- Demographic dividend window — ~2005 to 2055
Mains Dimensions
- Poverty measurement debate: Tendulkar vs Rangarajan vs MPI — which approach captures deprivation better? Is a single poverty line sufficient for a diverse country?
- Inequality and growth: Does GDP growth automatically reduce inequality? Kuznets curve applicability to India
- Employment challenge: Jobless growth; why manufacturing is not absorbing labour; services vs manufacturing debate
- MGNREGA evaluation: Demand vs actual delivery; asset creation quality; convergence with other schemes
- Demographic dividend: India's window is closing in southern states (aging faster); north-south divergence
- Gig economy regulation: Balancing innovation and worker protection; global models (EU, UK, California AB5)
Interview Angles
- Should India adopt a Universal Basic Income (UBI) instead of multiple welfare schemes?
- Is MGNREGA still relevant or should it be replaced with a more productive employment scheme?
- How can India ensure its demographic dividend doesn't become a demographic disaster?
- Should gig workers be classified as employees rather than independent contractors?
- How do you measure poverty in a country as diverse as India — is the MPI approach better than income-based lines?
Recent Developments (2024–2026)
India's Poverty Reduction — World Bank and MPI Data 2024
The World Bank confirmed that India's extreme poverty rate (living on less than $2.15/day) fell from 16.2% in 2011-12 to 2.3% in 2022-23 — lifting approximately 171 million people above the extreme poverty line. India's National MPI (NITI Aayog, 2023) shows multidimensional poverty at 11.28% (2022-23) — down from 29.17% in 2013-14, with 24.82 crore people lifted out of MPI poverty over 9 years. The Global MPI 2025 Report (UNDP/OPHI, titled "Overlapping Hardships: Poverty and Climate Hazards") shows India's MPI headcount at 16.4% (2019-21 data) with an MPI value of 0.069 — down from 55.1% in 2005-06.
UPSC angle: World Bank extreme poverty 2.3% (2022-23), National MPI 11.28% (2022-23, NITI Aayog), Global MPI 16.4%/0.069 (2025 report), and 24.82 crore people escaping poverty are all current Prelims facts. The "largest absolute poverty reduction globally" claim is supported by NITI Aayog data.
MGNREGA Wage Hike and Budget 2025-26 Stagnation
For FY 2025-26, MGNREGA wages were revised upward by 2-7% across states, with Haryana reaching the highest daily wage of Rs 400 — the first state to cross this level. However, the overall budget allocation remained at Rs 86,000 crore for FY 2025-26 — unchanged from FY 2024-25 — representing the fifth consecutive year of stagnant allocation in nominal terms (a real decline adjusted for inflation). Average person-days per active worker remained around 19 days against the 100-day guarantee. Pending wage liabilities stood at approximately Rs 12,219 crore (as of February 2025), highlighting implementation gaps.
UPSC angle: MGNREGA Budget 2025-26 (Rs 86,000 crore, stagnant), Haryana highest wage Rs 400/day, 19-day average vs 100-day guarantee, and Rs 12,219 crore pending wages are current data for Mains evaluation questions on social safety nets.
Labour Code Implementation (November 2025) and e-Shram
The four Labour Codes took effect on November 21, 2025 — consolidating 29 central labour laws. The e-Shram portal completed registration of over 31.38 crore unorganised workers as of December 2025 (per Ministry of Labour & Employment statement to Parliament, 4 Dec 2025). For gig workers, 12 major aggregators (Zomato, Swiggy, Ola, Uber, Amazon, Urban Company, Blinkit, Rapido, Zepto, Porter, Ecom Express, Uncle Delivery) have been onboarded, with platform workers registered on the national database. The PLFS 2023-24 shows unemployment rate at 3.2% and female LFPR at 41.7% — both significant improvements.
UPSC angle: Labour Codes effective date (November 21, 2025), e-Shram 31.38 crore registrations (Dec 2025), PLFS 2023-24 data (UR 3.2%, female LFPR 41.7%), and 12 aggregator onboarding are current Prelims and Mains GS3 facts on labour reform and employment.
Vocabulary
Subsistence
- Pronunciation: /səbˈsɪstəns/
- Definition: The condition of maintaining life at a minimum level, having just enough food, money, or resources to survive.
- Origin: From Latin subsistentia ("substance, reality"), via French subsistance, from sub- ("under") + sistere ("to stand"); entered English in the early 15th century.
Gini Coefficient
- Pronunciation: /ˈdʒiːni ˌkoʊɪˈfɪʃənt/
- Definition: A statistical measure of income or wealth inequality within a population, expressed on a scale from 0 (perfect equality) to 1 (perfect inequality).
- Origin: Named after Italian statistician Corrado Gini, who developed the measure; earliest known use dates to 1913 in the American Economic Review.
Disguised Unemployment
- Pronunciation: /dɪsˈɡaɪzd ˌʌnɪmˈplɔɪmənt/
- Definition: A situation in which more workers are employed in a sector than are actually needed, so that the marginal productivity of the surplus workers is effectively zero.
- Origin: A compound of English disguised (from Old French desguiser, "to change appearance") and unemployment; the concept was formalised in development economics in the mid-20th century.
Key Terms
Multidimensional Poverty Index (MPI)
- Pronunciation: /ˌmʌltiˌdaɪˈmɛnʃənəl ˈpɒvərti ˈɪndɛks/
- Definition: An international measure of acute poverty that captures simultaneous deprivations across three equally weighted dimensions — health, education, and standard of living — identifying a person as MPI-poor if deprived in at least one-third (33.33%) of the weighted indicators. The global MPI uses 10 indicators; India's national MPI (published by NITI Aayog) uses 12 SDG-aligned indicators including bank account and maternal health. India's MPI value in the 2025 Global MPI Report is 0.069, with a headcount ratio of 16.4% and an intensity of deprivation of 42%.
- Context: Developed in 2010 by Sabina Alkire and James Foster at the Oxford Poverty and Human Development Initiative (OPHI), in partnership with UNDP, using the Alkire-Foster (AF) methodology. India's national MPI headcount declined dramatically from 29.17% (2013-14) to 11.28% (2022-23), with 24.82 crore people (248.2 million) escaping multidimensional poverty — the largest reduction globally. The global MPI (2025 report, titled "Overlapping Hardships: Poverty and Climate Hazards") shows India reduced poverty from 55.1% (2005-06) to 16.4% (2019-21). The national MPI data is sourced from National Family Health Surveys (NFHS 4 and 5). Uttar Pradesh (5.94 crore), Bihar (3.77 crore), and Madhya Pradesh (~3.5 crore) recorded the highest absolute reductions. NITI Aayog projected India would reach single-digit MPI poverty by 2024. However, large regions still face overlapping hazards like heat, floods, and air pollution that exacerbate deprivation.
- UPSC Relevance: GS3 Economy — Prelims: 3 dimensions (health, education, standard of living), 10 indicators (global MPI) / 12 indicators (India MPI — includes bank account and maternal health), 33.33% deprivation threshold, developed by Alkire-Foster (2010), published by UNDP-OPHI (global) and NITI Aayog (national), India MPI value 0.069 (2025 global report), headcount declined from 29.17% to 11.28%; Mains: is MPI a better measure of poverty than income-based poverty lines (captures non-income deprivations that Tendulkar/Rangarajan miss), India's progress in reducing multidimensional poverty (24.82 crore escaped), regional variation (Bihar, Jharkhand worst; Kerala, Goa best — what explains this), criticism that MPI uses NFHS data which may not capture consumption poverty adequately, climate vulnerability and its overlap with poverty.
MGNREGA
- Pronunciation: /ˌɛm dʒiː ɛn ɑːr iː dʒiː ˈeɪ/ (spoken as individual letters) or /mə.ɡəˈnreɪ.ɡə/ (spoken as a word)
- Definition: The Mahatma Gandhi National Rural Employment Guarantee Act, 2005 — India's flagship rights-based rural employment law that legally guarantees 100 days of unskilled wage employment per financial year to every rural household whose adult members demand it, with a statutory obligation to provide work within 15 days of demand or pay unemployment allowance from state funds. For FY 2025-26, wages were hiked by 2-7% across states, with Haryana recording the highest daily wage at Rs. 400 (the first state to reach this level).
- Context: Enacted on 23 August 2005 under the UPA government of PM Manmohan Singh; came into force 2 February 2006 in 200 districts and expanded nationwide by April 2008. Originally named NREGA; renamed MGNREGA on 2 October 2009 (Gandhi Jayanti). Wages have been indexed to the Consumer Price Index for Agricultural Labourers (CPI-AL) since 2011-12 (base year 2009), though the Ministry of Rural Development revises rates annually. Daily wages for FY 2025-26 range from Rs. 230 to Rs. 400 depending on the state. Budget allocation has stagnated at Rs. 86,000 crore for FY 2025-26 (same as FY 2024-25, the highest-ever BE allocation). Key works include water conservation, drought proofing, land development, and rural connectivity. Unemployment allowance: 1/4th of wage rate for the first 30 days and 1/2 for the remaining period — paid from state funds, creating a financial incentive for states to provide work. Total person-days generated: 2,923 crore between FY 2014-15 and FY 2024-25. A Parliamentary Standing Committee has recommended increasing guaranteed days from 100 to 150 and linking wages to a more accurate inflation index.
- UPSC Relevance: GS3 Economy — Prelims: enacted 23 August 2005, 100 days guarantee, demand-driven (work within 15 days else unemployment allowance from state funds), originally NREGA (renamed 2 October 2009), wages linked to CPI-AL (base 2009), FY 2025-26 budget Rs. 86,000 crore, Haryana highest wage Rs. 400/day; Mains: evaluate MGNREGA as a rights-based safety net vs productive employment programme, actual average employment (~19 days) vs 100-day guarantee — why this gap persists, budget stagnation at Rs. 86,000 crore despite inflation (real value declining), should guaranteed days be increased to 150 (Parliamentary Committee recommendation), pending wage liabilities (Rs. 12,000+ crore), asset creation quality and durability, convergence with PMAY, Jal Jeevan Mission and other rural development schemes.
Current Affairs Connect
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- Economy Subject Page — for PLFS data releases, MGNREGA updates, skill development news
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Sources: NITI Aayog MPI Reports (niti.gov.in), PLFS Bulletins by NSO/MoSPI (mospi.gov.in), PIB Press Releases (pib.gov.in), Ministry of Rural Development — MGNREGA (nrega.nic.in), Ministry of Skill Development (msde.gov.in), NSDC (nsdcindia.org), PRS Legislative Research (prsindia.org), Economic Survey 2025-26 (indiabudget.gov.in), World Bank Data (data.worldbank.org)
