Poverty & Unemployment
Poverty & Unemployment
Comprehensive study of poverty and unemployment in India — poverty line evolution, Tendulkar and Rangarajan committees, Multidimensional Poverty Index, types of unemployment, PLFS data, MGNREGA, employment programmes, demographic dividend, informal sector, and India's labour market challenges.
Key Dates
First poverty line estimate by Working Group headed by B.N. Ganguli — based on minimum consumption expenditure
Y.K. Alagh Committee — linked poverty line to calorie intake (2400 kcal rural, 2100 kcal urban)
Lakdawala Committee — used state-specific poverty lines with CPI-IW for urban and CPI-AL for rural areas
Tendulkar Committee — shifted from calorie-based to expenditure-based poverty line (Rs 32/day urban, Rs 26/day rural at 2004-05 prices)
Rangarajan Committee — proposed higher poverty line (Rs 47/day urban, Rs 32/day rural at 2011-12 prices)
NITI Aayog's National MPI report — multidimensional poverty declined from 29.17% (2013-14) to 11.28% (2022-23); 24.82 crore people escaped poverty
MGNREGA enacted (February 2) — guarantees 100 days of wage employment per rural household per year; world's largest public works programme
Periodic Labour Force Survey (PLFS) launched by NSO — replaced decennial NSSO employment surveys with annual/quarterly data
Community Development Programme launched — first government programme targeting rural poverty and employment
Food for Work Programme introduced — predecessor of MGNREGA; provided food grains as wages for rural employment
N.C. Saxena Committee estimated BPL families for the 11th Plan — created controversy over poverty enumeration methodology
Socio Economic and Caste Census (SECC) conducted — used for identifying beneficiaries of welfare programmes
PLFS Annual Report 2021-22 showed UR at 4.1% (usual status); Female LFPR improved to 32.8% from 23.3% in 2017-18
Poverty Line in India — Evolution
India has debated poverty measurement for decades. The poverty line is the minimum level of income/expenditure below which a person is classified as "poor." Evolution of poverty lines: (1) B.N. Ganguli Working Group (1962): First official poverty line — based on minimum consumption expenditure needed for survival. Rs 20/month (rural) and Rs 25/month (urban). (2) V.M. Dandekar and N. Rath (1971): Proposed calorie-based poverty line — 2250 calories per person per day. This was the first systematic attempt to link poverty to nutritional requirements. (3) Y.K. Alagh Committee (1979): Defined poverty line as the expenditure level at which a person can consume 2400 kcal/day in rural areas and 2100 kcal/day in urban areas. Rural calorie requirement is higher because of more manual labour. This became the standard methodology for two decades. (4) Lakdawala Committee (1993): Used the Alagh calorie norms but updated the methodology — Consumer Price Index for Industrial Workers (CPI-IW) for urban and CPI for Agricultural Labourers (CPI-AL) for rural areas were used to update the poverty line for inflation. State-specific poverty lines were computed (recognising that Rs 100 buys different amounts in Bihar vs Kerala). (5) Tendulkar Committee (2009): Major shift — moved from calorie intake to Monthly Per Capita Consumption Expenditure (MPCE). Poverty line: Rs 816/month rural, Rs 1000/month urban (at 2004-05 prices). Using this methodology, poverty ratio in 2011-12 was 21.9% (270 million people). Criticism: Rs 32/day (urban) — the line was considered absurdly low. However, Tendulkar argued the line implicitly accounted for non-food spending (health, education, housing) which calorie-based lines ignored. (6) Rangarajan Committee (2014): Proposed higher poverty line — Rs 972/month rural, Rs 1407/month urban (at 2011-12 prices). Using this methodology, poverty ratio in 2011-12 was 29.5% (363 million people) — significantly higher than Tendulkar's 21.9%. The Rangarajan line incorporated actual calorie, protein, and fat requirements alongside non-food spending. Currently, no single official poverty line is universally adopted — the government has not accepted either Tendulkar or Rangarajan as the final methodology.
Multidimensional Poverty Index (MPI)
The MPI represents a paradigm shift from income/expenditure-based poverty to a broader measure of deprivation. Global MPI: Developed by Sabina Alkire and James Foster (Alkire-Foster methodology) at Oxford Poverty and Human Development Initiative (OPHI), used by UNDP. Covers three dimensions: Health (nutrition, child mortality), Education (years of schooling, school attendance), and Standard of Living (cooking fuel, sanitation, drinking water, electricity, housing, assets). A person is MPI-poor if deprived in at least one-third of the weighted indicators. India's National MPI (NITI Aayog, first published 2021, updated 2023): Uses the same Alkire-Foster methodology adapted for India with 12 indicators across 3 dimensions. Health (weight 1/3): Nutrition (BMI < 18.5 for adults), Child & Adolescent Mortality (any under-18 death in family in 5 years), Maternal Health (ANC visits), Maternal Nutrition. Education (weight 1/3): Years of Schooling (no member completed 6 years), School Attendance (any school-age child not attending). Standard of Living (weight 1/3): Cooking Fuel (solid fuel like wood/dung), Sanitation (no improved toilet), Drinking Water (no clean source within 30 minutes), Electricity (no connection), Housing (kuccha floor/roof/walls), Assets (does not own more than one: radio, TV, telephone, computer, bicycle, motorbike, refrigerator, or car). Key findings (2023 report using NFHS-5 data for 2019-21): India's MPI headcount ratio: 11.28% (2022-23), down from 29.17% (2013-14). 24.82 crore people escaped multidimensional poverty in 9 years. Rural MPI declined from 36.6% to 19.28%. Urban MPI declined from 9.2% to 5.27%. Best performing states: Kerala (0.55%), Goa (3.2%), Tamil Nadu (3.5%). Worst performing states: Bihar (33.7%), Jharkhand (28.8%), UP (22.9%). The fastest decline was in nutrition deprivation (improved nutrition programmes — POSHAN Abhiyaan) and sanitation (Swachh Bharat Mission). MPI is now preferred by NITI Aayog and UNDP because: (a) Captures multiple dimensions of poverty that income alone misses. (b) Allows targeted policy intervention (if deprivation is primarily in sanitation, build toilets). (c) Can be disaggregated by state, district, caste, religion, gender.
Types of Poverty
Absolute Poverty: Based on a fixed minimum standard (poverty line) — unable to meet basic needs of food, clothing, shelter. The number below a fixed poverty line. India's approach to poverty measurement has been primarily absolute. Relative Poverty: Compared to the standard of living of others in society — measures inequality rather than deprivation. If the poorest 20% earn less than 50% of the median income, they are "relatively poor." Relevant for developed countries where absolute deprivation is rare but inequality persists. Situational/Transient Poverty: Temporary poverty due to specific circumstances — natural disaster (flood, earthquake), job loss, health emergency. Many Indian households hover just above the poverty line and fall below during shocks ("churning poor"). The COVID-19 pandemic pushed an estimated 7.5 crore Indians into poverty (World Bank estimate). Chronic/Structural Poverty: Persistent, long-term poverty across generations — associated with caste discrimination, lack of education, landlessness, remote geography. Breaking chronic poverty requires structural interventions (land reform, education, social security) rather than just income transfers. Urban Poverty: Characterised by slum dwelling, lack of formal employment, poor access to services (water, sanitation, healthcare). India's urban poor are estimated at 7.7 crore (Tendulkar methodology). Urban poverty is often invisible because slum dwellers are excluded from official surveys and welfare schemes. Rural Poverty: Associated with landlessness (36% of rural households are landless), low agricultural productivity, seasonal unemployment, caste-based exclusion, and geographic isolation. Head Count Ratio (HCR): Percentage of population below the poverty line. India's HCR: 21.9% (Tendulkar, 2011-12). Limitation: treats all poor equally — someone just below the line and someone far below are both counted as "one poor person." Poverty Gap Index: Measures the depth of poverty — average income shortfall of the poor from the poverty line. Helps estimate the cost of bringing everyone above the line. Squared Poverty Gap (P2): Gives higher weight to the poorest among the poor — captures inequality among the poor. Sen Index: Combines HCR, poverty gap, and inequality among the poor in a single measure — considered the most comprehensive poverty measure.
Types of Unemployment
Structural Unemployment: Mismatch between workers' skills and available jobs. Common in developing economies undergoing technological change. Example: Handloom weavers losing jobs to power looms. Requires retraining and education. India's skill gap: Only 2.3% of India's workforce has formal skill training (vs 96% in South Korea, 80% in Japan, 68% in UK). Cyclical Unemployment: Due to economic downturns and recession — demand for goods falls → firms reduce production → workers laid off. India experienced this during COVID (unemployment rate shot to 23.5% in April 2020 per CMIE data). Cyclical unemployment is typically temporary and correctable through fiscal/monetary stimulus. Frictional Unemployment: Short-term, voluntary unemployment — between jobs, transitioning, or searching for better opportunities. Present even in full-employment economies. Not a concern if brief. Seasonal Unemployment: Common in agriculture — workers idle between sowing and harvesting seasons. India's agricultural labour is employed for only 5-6 months. Sugarcane crushing, tea plucking, and construction are seasonal. MGNREGA was designed to address this by providing employment during agricultural off-season. Disguised Unemployment: More people employed than necessary — marginal productivity is zero or near-zero. Very common in Indian agriculture. Example: If a family farm needs 3 workers but has 5, 2 are disguised unemployed — removing them would not reduce output. Estimated 20-30% of agricultural workforce is disguised unemployed. Arthur Lewis's model describes economic development as transferring this surplus labour to industry. Open Unemployment: Willing and able to work but cannot find employment. Visible and measurable through surveys. India's open unemployment rate: 3.2% (PLFS 2022-23, Usual Status). Educated Unemployment: Degree holders unable to find appropriate employment — a growing crisis in India. 33% of youth (15-29 years) graduates are unemployed (PLFS 2021-22). India produces 3+ crore graduates annually but formal sector job creation is only 10-15 lakh per year. Mismatch between education system output and industry needs is the core problem. Underemployment: Employed below skill level or for fewer hours than desired. A person with an MBA working as a delivery driver is underemployed. "Time-related underemployment" — working less than 40 hours/week but willing to work more. Involuntary Part-time Work: People who want full-time work but can only find part-time. Gig economy workers (Swiggy, Zomato, Uber drivers) may fall in this category.
Employment Data & PLFS
The Periodic Labour Force Survey (PLFS) is India's primary employment data source. Conducted by NSO (previously NSSO) under MoSPI. Replaced the quinquennial Employment-Unemployment Surveys. PLFS provides: Quarterly data for urban areas. Annual data for both rural and urban areas. Three reference periods for measuring employment: (1) Usual Status (ps+ss) — Principal Status (activity in which a person spent most time in the reference year of 365 days) + Subsidiary Status (if principal status is not in labour force, subsidiary economic activity for 30+ days). Gives the LOWEST unemployment rate (captures even part-time and seasonal workers). (2) Current Weekly Status (CWS) — Whether the person worked for at least 1 hour on any day in the reference week. Gives MEDIUM unemployment rate. (3) Current Daily Status (CDS) — Measures employment on each day of the reference week. Gives the HIGHEST unemployment rate (most sensitive to daily fluctuations). Key PLFS data (2022-23): Unemployment Rate (UR): 3.2% (Usual Status), 4.1% (CWS). This is the lowest UR in several years. Labour Force Participation Rate (LFPR): 57.9% — percentage of working-age population (15+) in the labour force (employed or seeking employment). Worker Population Ratio (WPR): 56.0% — percentage actually employed. Female LFPR: 37.0% (2022-23) — significant improvement from 23.3% (2017-18). However, much of the increase is in self-employment/unpaid family work rather than regular wage employment. Youth (15-29) unemployment: 12.4% — much higher than overall rate, reflecting the crisis of educated unemployment. Urban unemployment: 5.4%. Rural unemployment: 2.4%. Sector of employment: Agriculture 42.5%, Manufacturing 11.4%, Construction 12.0%, Trade 10.5%, Other Services 23.6%. Employment by status: Self-employed 57.3%, Regular wage/salaried 21.5%, Casual labour 21.2%. The high share of self-employment includes many who are effectively underemployed or in subsistence activity. Other employment data sources: CMIE (Centre for Monitoring Indian Economy) — private survey, monthly data. Shows typically higher unemployment than PLFS. Annual Survey of Industries (ASI) — formal manufacturing sector employment. Employees' Provident Fund Organisation (EPFO) — formal sector payroll data. E-Shram — registration portal for unorganised workers (30+ crore registered by 2024). Labour Bureau — erstwhile employment data collector, now less active.
MGNREGA — Detailed Analysis
The Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA, originally NREGA 2006) is India's flagship employment programme and the world's largest public works programme. Legal guarantee: Every rural household whose adult members volunteer to do unskilled manual work is entitled to 100 days of wage employment in a financial year. Key features: (1) Demand-driven: Work provided within 15 days of application (received by Gram Panchayat). If work not provided within 15 days, unemployment allowance must be paid (25% of minimum wage for first 30 days, 50% thereafter). (2) Decentralised: Gram Sabhas recommend works; Gram Panchayats implement 50% of works. (3) Wage-material ratio: 60:40 minimum — at least 60% of expenditure must be on wages (prevents contractor-led, material-intensive works). (4) Women: At least 1/3rd of workers must be women. Actual women participation: 56% (FY24) — exceeds the mandate. (5) Wages: State-specific, linked to CPI-AL (Consumer Price Index for Agricultural Labourers). Range: Rs 234/day (MP) to Rs 366/day (Haryana). Average: approximately Rs 280/day. (6) Social audit: Mandatory social audit by Gram Sabha every 6 months — villagers verify whether works were actually done and wages actually paid. (7) Transparency: All data on the MIS (Management Information System) at nrega.nic.in — one of India's most transparent government databases. Financial scale: Budget: Rs 86,000 crore (FY25). Employment generated: 289 crore person-days (FY24). Households employed: 6.2 crore. Average days of employment per household: 47 days (well below the 100-day entitlement — demand has declined as rural wages and migration opportunities improved). Total expenditure since inception (2006-2024): approximately Rs 8.5 lakh crore. Impact assessment: (1) Rural wage floor: MGNREGA effectively created a minimum wage in rural areas — agricultural wages rose faster after 2006 in MGNREGA-intensive states. (2) Women's empowerment: 56% women participation has given rural women independent income and financial agency. (3) Asset creation: 4+ crore works completed — water conservation (30%), rural roads (20%), land development (15%), irrigation (10%), other (25%). Many of these create durable assets (ponds, check dams, rural roads). (4) Migration check: Reduced distress migration by providing local employment. (5) Counter-cyclical buffer: During COVID-19, MGNREGA absorbed millions of returning migrants — 389 crore person-days in FY21 (highest ever). Criticisms: (a) Leakages — ghost workers, false muster rolls, middlemen. Estimated 30-40% leakage in some states (though declining with biometric attendance and Aadhaar-linked payments). (b) Low asset quality — works often poorly designed, not maintained, and abandoned after completion. (c) Delayed wage payments — average delay of 30-40 days in some states (despite legal mandate of 15 days). (d) Fiscal burden — Rs 86,000 crore per year. Critics argue the money would be better spent on skill training or infrastructure.
Government Employment & Anti-Poverty Programmes
India has a long history of employment and anti-poverty programmes: Employment Programmes: (1) PMKVY (Pradhan Mantri Kaushal Vikas Yojana): Skill development under Ministry of Skill Development and Entrepreneurship (MSDE). Free short-term skill training (150-300 hours) with industry-relevant certification. PMKVY 3.0: Target of skilling 1 crore youth in 3 years. Skill India Digital Hub for online courses. (2) PM Employment Generation Programme (PMEGP): Credit-linked subsidy for setting up micro enterprises. Subsidy: 25-35% of project cost (up to Rs 50 lakh for manufacturing, Rs 20 lakh for services). Implementing agencies: KVIC, State KVIC, DIC. 7.5 lakh+ units established cumulatively. (3) Startup India (2016): Tax holiday (3 years out of 10), self-certification for labour and environmental laws, Fund of Funds (Rs 10,000 crore through SIDBI). India has 1,18,000+ DPIIT-recognised startups; 112 unicorns (valued $1 billion+). (4) DDU-GKY (Deen Dayal Upadhyaya Grameen Kaushalya Yojana): Skill training for rural youth with guaranteed placement. Targets SC/ST, women, minorities, persons with disabilities. (5) PM-DAKSH: Skill training for SC/OBC/Safai Karamcharis. (6) National Career Service (NCS): Online portal connecting job seekers with employers. 1.5+ crore job seekers registered. Anti-Poverty Programmes: (1) PM-KISAN: Rs 6,000/year in 3 instalments of Rs 2,000 to all farmer families via DBT. 11+ crore beneficiaries. (2) PMAY (Pradhan Mantri Awas Yojana): Housing for all — Urban (4.21 crore houses sanctioned) and Rural (3.06 crore houses). Interest subsidy under CLSS. (3) National Food Security Act (2013): Subsidised food grains (rice Rs 3/kg, wheat Rs 2/kg, coarse grains Rs 1/kg) to 75% rural and 50% urban population through PDS. PM Garib Kalyan Anna Yojana (PMGKAY) — extended free food grains during and after COVID (now made permanent under NFSA at zero price until 2028). (4) Ayushman Bharat - PMJAY: Free health insurance of Rs 5 lakh/family/year for 12 crore poor families (55 crore beneficiaries). 30,000+ empanelled hospitals. 6.8 crore treatments provided by FY24. (5) NSAP (National Social Assistance Programme): Pension for BPL elderly (Rs 200-500/month from Centre, states add more), widows, and disabled.
Informal Sector & Labour Market Structure
India's labour market is predominantly informal. The informal sector is the defining characteristic of India's employment landscape. Definitions: Informal sector enterprises: Unincorporated private enterprises owned by individuals or households that are not registered under any specific act. Informal employment: Workers without formal contracts, social security (PF, ESI), or paid leave — even in the formal sector. By ILO definitions: 90% of India's workforce is informally employed. Even in the "organised" sector, about 50% of workers are hired on contract/casual basis without social security. Organised vs Unorganised: Organised sector: Enterprises with 10+ workers using power (or 20+ without power) registered under Factories Act, Shops & Establishments Act. Approximately 10% of workforce. Unorganised sector: All other enterprises and their workers. 90% of workforce. Includes agriculture (42%), construction (12%), trade (10%), domestic workers, street vendors, home-based workers. Characteristics of informal employment: (1) No written contract. (2) No social security (no PF, ESI, gratuity, maternity benefit). (3) No paid leave. (4) Low wages — median wage of casual workers approximately Rs 350/day vs Rs 800-1000/day for regular formal workers. (5) No job security — can be fired at will. (6) No career progression or skill development. E-Shram Portal (2021): National database of unorganised workers. Self-registration through Aadhaar. 30.3 crore workers registered by FY24. Captures demographic, occupation, and income data. Workers get Rs 2 lakh accidental insurance. Sectoral data from E-Shram: Agriculture (52%), Construction (12%), Domestic Workers (8%), Apparel (6%), Others (22%). 94% earn below Rs 10,000/month. Labour force informalisation trend: Post-liberalisation, formal sector employment has grown slowly while informal/contractual employment has surged. Even formal companies increasingly use contract labour, gig workers, and temporary staff to avoid compliance costs (PF/ESI contributions of 24-26% of wages for formal employees). The gig economy (platform workers for Zomato, Swiggy, Uber, Ola, Urban Company) has created a new category — technology-mediated informal workers. Estimated 7.7 million gig workers (2020-21), projected to reach 2.35 crore by 2029-30 (NITI Aayog report). Code on Social Security 2020 recognises gig and platform workers for the first time in law.
Demographic Dividend — Opportunity & Challenge
India is in the midst of a demographic transition that creates both opportunity and challenge. Demographic Dividend: The economic growth potential that results from shifts in a population's age structure, when the share of working-age population (15-64) is larger than the non-working-age share (0-14 and 65+). India's demographics: Population: 144 crore (2024 — world's most populous country, surpassed China in 2023). Median age: 28 years (vs China 39, Japan 49, US 38). Working-age population (15-64): approximately 68% — the highest in India's history. Dependency ratio: 47 per 100 working-age people (declining). India's demographic window: 2005-2055 approximately. China's window is closing (ageing population); India's is at its peak. The dividend opportunity: Every year, 1.2 crore people enter the working-age population. If productively employed, this demographic bulge can drive economic growth for decades (as it did for Japan 1960-90, South Korea 1970-2010, China 1980-2020). McKinsey estimate: India's demographic dividend could add 2% to annual GDP growth. The dividend challenge: The dividend is not automatic — it requires: (1) Education: India's ASER (Annual Status of Education Report) shows poor learning outcomes — only 40% of Class 5 students can read a Class 2 text. Higher education enrolment: 28.4% GER (Gross Enrolment Ratio) — target 50% by 2035 (NEP 2020). (2) Skill development: Only 2.3% of workforce has formal vocational training. PMKVY and ITIs need massive scaling. (3) Job creation: India needs to create 9-12 million non-farm jobs per year to absorb workforce growth. Actual formal job creation is estimated at only 4-5 million. (4) Health: Malnutrition affects 35.5% of children under 5 (stunting). An unhealthy workforce cannot be productive. (5) Women's participation: Female LFPR at 37% is among the lowest globally (world average 47%). If India could raise female LFPR to 50%, GDP could increase by 27% (IMF estimate). Regional variation: Southern states (Kerala, Tamil Nadu, AP) are already ageing — their dependency ratios are rising. Northern states (UP, Bihar, Rajasthan, MP) are at the peak of their demographic dividend — but these are also the states with the worst education, health, and employment outcomes. If the dividend is not harnessed, it becomes a "demographic disaster" — a young, frustrated, unemployed population can cause social instability.
Labour Reforms — Four Labour Codes
India consolidated 29 central labour laws into 4 Labour Codes (passed in 2019-2020, rules notified but implementation pending in most states as of 2025): (1) Code on Wages 2019: Consolidates Minimum Wages Act, Payment of Wages Act, Payment of Bonus Act, Equal Remuneration Act. Universal minimum wage — floor wage set by Centre, states can set higher. Covers all workers (not just scheduled employments). Equal remuneration for men and women for same work. Digital wage payments encouraged. (2) Code on Social Security 2020: Consolidates 9 laws including EPF, ESI, Maternity Benefit, Gratuity, BOCW Act. First-time inclusion of gig workers and platform workers. Social security fund for unorganised workers. EPF and ESI coverage expanded. Career centres for job matching. (3) Industrial Relations Code 2020: Consolidates Trade Unions Act, Industrial Disputes Act, Industrial Employment Act. Fixed-term employment formalised — workers get same benefits as regular employees. Companies with up to 300 workers can retrench without government permission (earlier 100 — this is the most controversial provision as unions argue it makes firing easier). Standing orders now required for establishments with 300+ workers (earlier 100). Right to strike: 14 days' advance notice for all establishments. (4) Occupational Safety, Health and Working Conditions Code 2020: Consolidates Factories Act, Mines Act, Building Workers Act, and 10 other laws. Covers all establishments with 10+ workers. Women allowed to work night shifts (with employer-provided safety and transport). Contract labour provisions streamlined. Annual health check-up for workers in hazardous processes. Implementation status: Centre notified draft rules. States must notify their own rules (labour is on the Concurrent List). As of March 2025, most states have not fully implemented the codes — employer groups want implementation for ease of doing business, while trade unions oppose several provisions (especially the relaxation of retrenchment norms). The codes aim to balance worker protection with employer flexibility — moving from a compliance-heavy, inspector-raj labour regime to a facilitative framework. India's rigid labour laws were often cited as a reason why manufacturing firms stay small (to avoid regulatory thresholds at 10, 20, 100 workers).
Global Poverty & India's Position
India's poverty must be understood in the global context. World Bank International Poverty Line: $2.15/day at 2017 PPP (updated from $1.90 in 2022). Using this line, India's poverty rate: approximately 12% (2021 estimate, World Bank). Number of poor: approximately 170 million — still the largest number of extreme poor people in the world (though China lifted 800+ million out of poverty between 1980-2020). The $3.65/day line (lower-middle-income poverty line): approximately 45% of Indians are below this. The $6.85/day line (upper-middle-income poverty line): approximately 80% of Indians are below this. This shows that while extreme poverty has declined, the vast majority of Indians remain economically vulnerable. Comparison with peers: China: Extreme poverty near 0% (World Bank $2.15 line). Lifted 800 million out of poverty in 40 years — the greatest poverty reduction in human history. Bangladesh: Extreme poverty approximately 5% — remarkable progress from 44% in 2000. Bangladesh has overtaken India in several social indicators (life expectancy, child mortality, female literacy). Vietnam: Extreme poverty approximately 1% — sustained manufacturing-led growth reduced poverty dramatically. Sub-Saharan Africa: Extreme poverty approximately 35% — the only region where the absolute number of poor has increased. India's relative position: India has reduced poverty faster than Africa but slower than East/Southeast Asia. India's poverty reduction accelerated post-2005 (MGNREGA, NFSA, PMJAY, DBT) and during 2014-2023 (housing, toilets, LPG, electricity, bank accounts under various schemes significantly reduced deprivation). The UNDP Global MPI 2023 noted India as the country with the largest absolute decline in multidimensional poverty — 41.5 crore people escaped poverty between 2005-06 and 2019-21. Sustainable Development Goal 1: "End poverty in all its forms everywhere by 2030." India is on track for extreme poverty ($2.15) reduction but faces significant challenges on broader vulnerability.
Inequality — Dimensions & Measurement
Poverty and inequality are related but distinct concepts. India can reduce poverty while inequality widens (as has happened). Gini Coefficient: Measures income/expenditure inequality. Ranges from 0 (perfect equality) to 1 (perfect inequality). India's consumption Gini: approximately 0.35 (moderate by global standards — Brazil 0.53, South Africa 0.63, US 0.39, Nordics 0.25-0.28). However, India's wealth inequality is far higher — Gini for wealth is approximately 0.82. Oxfam India Inequality Report (2024): Top 10% of Indians own 77% of national wealth. Top 1% own 40.5% of wealth. Bottom 50% own only 3% of wealth. India added 94 billionaires in the last decade (total 169 billionaires, combined wealth $905 billion — 25% of India's GDP). This extreme concentration has policy implications: wealth tax debates, inheritance tax proposals, and the argument for progressive taxation. Kuznets Curve hypothesis: Inequality first increases during early stages of development (as some people move from agriculture to industry faster) and then decreases as growth becomes inclusive. India may be on the rising part of the Kuznets Curve. Dimensions of inequality in India: (1) Income inequality: Urban-rural income gap — urban per capita income is approximately 3x rural. (2) Regional inequality: Per capita income of Goa is 10x that of Bihar. (3) Caste-based: SC/ST households earn 30-40% less than upper-caste households on average. Occupational segregation persists. (4) Gender: Women earn 20-30% less than men for comparable work. Female LFPR is 37% vs male 78%. (5) Intergenerational inequality: Social mobility in India is low — a child born to poor parents has a high probability of remaining poor. The Great Gatsby Curve (Miles Corak) shows that countries with higher inequality have lower social mobility — India fits this pattern. Policy responses: Progressive taxation (higher tax rates on higher incomes), social security (pensions, insurance), public spending on health and education (the great equaliser), land reform, affirmative action (reservations), and direct income transfers (PM-KISAN).
Migration — Internal & International
Migration is intimately linked with poverty and employment. Internal migration: India has approximately 45 crore internal migrants (Census 2011; actual number likely higher as many are not captured). Inter-state migration: Approximately 6 crore. Major corridors: UP/Bihar → Maharashtra/Delhi/Gujarat/Punjab. Eastern states → Southern/Western states. Rural → Urban is the dominant pattern. Push factors: Agrarian distress, unemployment, natural disasters, social discrimination. Pull factors: Better employment opportunities, higher wages, education, urbanisation. Seasonal/circular migration: Millions of rural workers migrate seasonally for 4-8 months for construction, brick kilns, sugarcane harvesting, agriculture. They maintain homes in villages and return periodically. COVID-19 exposed the vulnerability of migrant workers — an estimated 10 crore reverse-migrated during the 2020 lockdown. The sight of migrants walking hundreds of kilometres to their villages was a defining image of the crisis. One Nation One Ration Card (ONORC): Allows PDS beneficiaries to access ration at any Fair Price Shop in India using biometric authentication. Addresses the food security of migrants who previously lost PDS access when they moved. Interstate Migrant Workmen Act (now subsumed in OSH Code 2020): Mandates registration, minimum wages, housing, and healthcare for interstate migrant workers. Poorly implemented. International migration: Indian diaspora: 1.87 crore (2024) — largest in the world. Major destinations: UAE, Saudi Arabia, US, UK, Canada, Australia, Oman, Kuwait. Remittances to India: $125 billion (2023) — highest in the world. Remittances constitute approximately 3% of GDP and are a major foreign exchange source (more than FDI inflows). Kerala, Bihar, UP, Rajasthan are major remittance-receiving states. Brain drain vs brain gain: India loses skilled professionals (doctors, engineers, IT workers) to developed countries. However, the diaspora also creates trade networks, knowledge transfer, and investment flows (Indian Americans are among the highest-income ethnic groups in the US).
Relevant Exams
Poverty and unemployment are high-priority topics for all competitive exams. UPSC Prelims frequently tests poverty line committees (Tendulkar, Rangarajan, Alagh, Lakdawala), types of unemployment (especially disguised unemployment), MPI methodology, MGNREGA provisions, and PLFS data. UPSC Mains GS Paper 3 asks essay-type questions on demographic dividend, informal sector challenges, labour code reforms, and inequality. SSC and banking exams ask about MGNREGA day guarantee (100 days), PLFS conducting agency (NSO), basic definitions (HCR, poverty gap), and current unemployment rate. Questions on disguised unemployment in agriculture and the difference between LFPR and WPR are perennial favourites. Banking exams test PM-KISAN, PMJAY, and social security scheme details.