Migration and Employment in India

Learning Objectives

By the end of this topic, you should be able to:

1. Define internal migration and classify its major streams (rural–urban, rural–rural, urban–urban, urban–rural).
2. Explain the push and pull factors driving labour migration in India using the Harris–Todaro framework.
3. Analyse the effects of migration on wages, employment, and productivity in both sending and receiving regions.
4. Evaluate the role of remittances in rural household welfare and regional development.
5. Assess key policy responses — the Inter-State Migrant Workmen Act, One Nation One Ration Card, and e-Shram — and their limitations.
6. Interpret migration data from the Census, Periodic Labour Force Survey (PLFS), and Economic Survey.

Quick Answer

Internal migration is the movement of people within a country for work, marriage, education, or family reasons. India has one of the largest internal migrant populations in the world — the 2011 Census counted about 450 million internal migrants, and the Economic Survey 2016-17 estimated an annual inter-state labour migration flow of roughly 9 million people. Labour migration matters because it reallocates workers from low-productivity agriculture to higher-productivity urban jobs, sends remittances back to rural households, and fuels the growth of cities. But it also creates challenges: informal work, poor housing, loss of welfare entitlements across state borders, and vulnerability that became starkly visible during the 2020 COVID-19 lockdown reverse migration.

Overview

Why do millions of Indians leave their villages every year to work on construction sites in Kerala, in garment factories in Tiruppur, or in Delhi's service economy? The short answer is the wage gap: a casual labourer can often earn two to three times more in an urban destination than at home. Migration is therefore not a crisis — it is a rational economic response to regional differences in opportunity, and historically one of the most powerful poverty-reduction mechanisms known to development economics.

At the same time, India's migration story is distinctive. Most migration is short-distance and within states; a large share is seasonal and circular rather than permanent; and migrants overwhelmingly enter the informal sector, where they lack contracts, social security, and — because welfare entitlements like ration cards were traditionally tied to place of registration — even basic food security at the destination. Understanding both the economics and the institutional gaps is essential for exams and for policy.

Core Concepts

1. Internal Migration and Its Streams

Definition: Internal migration is a change of usual residence within national borders, classified by direction of movement: rural–urban, rural–rural, urban–urban, and urban–rural.

Explanation: The Census defines a migrant by place of birth or place of last residence. Contrary to popular perception, rural–rural migration (largely marriage-related migration of women and agricultural labour movement) is the single largest stream in India. Rural–urban migration, however, is the economically most significant stream for employment analysis because it shifts workers between sectors with very different productivity levels. Migration can also be classified by duration: permanent, semi-permanent, and seasonal/circular — where workers move for a few months each year and return home for the sowing or harvest season.

Example: A worker from Ganjam district, Odisha, spends eight months a year in Surat's textile mills and returns home during the agricultural season. He is a seasonal, inter-state, rural–urban migrant.

Real-World Example: The 2011 Census recorded roughly 450 million internal migrants (about 37% of the population). The Economic Survey 2016-17, using railway passenger data, estimated a much larger dynamic flow — around 9 million inter-state labour migrants annually between 2011 and 2016 — with Uttar Pradesh and Bihar as the biggest source states and Delhi, Maharashtra, Tamil Nadu, and Gujarat as major destinations.

Why It Matters: Migration streams determine where labour supply grows and shrinks, which shapes urban planning, housing demand, and the design of portable welfare schemes.

Common Misunderstanding: Students often assume most Indian migration is men moving to cities for jobs. In fact, by headcount, the largest category of migrants is women migrating within rural areas for marriage. Employment-driven migration is a smaller share of total migration but is the share that matters most for labour economics.

2. Push and Pull Factors and the Harris–Todaro Model

Definition: Push factors are adverse conditions at origin (low agricultural wages, landlessness, drought, underemployment); pull factors are attractions at destination (higher wages, more jobs, better amenities). The Harris–Todaro model (1970) formalises this: migration occurs when the expected urban wage — the urban wage multiplied by the probability of finding a job — exceeds the rural wage.

Explanation: The model's key insight is that people respond to expected, not guaranteed, earnings. A migrant may accept a spell of unemployment or informal work in the city because even a 60% chance of earning ₹600 a day beats a certain ₹200 a day in the village. This also explains a paradox: urban job creation can increase urban unemployment, because each new formal job attracts more than one hopeful migrant.

Example: If the urban daily wage is ₹500 with a 50% chance of employment, the expected urban wage is ₹250. A worker earning ₹200 in the village will migrate; one earning ₹300 will not.

Real-World Example: Repeated droughts in Bundelkhand (UP/MP) have pushed entire households into seasonal migration to Delhi's construction sites, while the pull of Kerala's high wages — among India's highest for casual labour — has drawn an estimated 2.5–3.5 million workers from West Bengal, Assam, Odisha, and Bihar (Kerala's own studies estimated over 3 million inter-state workers).

Why It Matters: The model tells policymakers that simply creating urban jobs will not eliminate urban unemployment; raising rural incomes (e.g., through MGNREGA) and improving job-matching information are equally important levers.

Common Misunderstanding: Students often treat migration as caused only by distress ("push"). Much Indian migration is aspirational — driven by wage differentials and networks — and even distress migration is an income-smoothing strategy, not merely a symptom of failure.

3. Labour Market Effects at the Destination

Definition: Migration changes labour supply, wages, and productivity in receiving regions.

Explanation: An inflow of migrants increases labour supply, which — in the simplest model — puts downward pressure on wages for workers who are close substitutes (typically low-skilled natives). But migrants also increase demand for goods and services, fill vacancies natives avoid, and allow firms to expand, all of which raise labour demand. Empirically, the net wage effect on native workers in Indian cities is small. Migrants themselves usually start on lower wages because they lack local networks and bargaining power, converging toward local wages as they gain experience and contacts.

Example: When migrant masons arrive in a city, wages for local masons may dip slightly in the short run; but the fall in construction costs makes more projects viable, expanding total employment for masons, electricians, and plumbers alike.

Real-World Example: Kerala's construction and hospitality sectors depend heavily on inter-state workers because local workers, with higher reservation wages and out-migration to the Gulf, are unavailable at prevailing wages. Migrants complement rather than displace local labour — Kerala's local wages remain among India's highest despite massive in-migration.

Why It Matters: The displacement fear drives "sons of the soil" politics and domicile-based job reservations (e.g., state laws reserving private-sector jobs for locals). Economics suggests such restrictions raise firms' costs and reduce total employment.

Common Misunderstanding: "Migrants steal local jobs" assumes a fixed number of jobs — the lump of labour fallacy. The number of jobs is not fixed; migrant labour lowers costs, expands output, and creates jobs.

4. Remittances and Effects on Sending Regions

Definition: Remittances are the earnings migrants send back to households at origin.

Explanation: Domestic remittances are a lifeline for rural households in high out-migration states. They finance consumption smoothing, children's education, healthcare, housing, and debt repayment, and act as informal insurance against local shocks like drought. On the negative side, out-migration of the young and skilled can create "brain drain" and labour shortages at origin, though it also tightens the local labour market and can push up rural wages, and returning migrants bring skills and savings ("brain gain" or "brain circulation").

Example: A household in Sitamarhi, Bihar, receives ₹4,000 a month from a son working in Ludhiana. This covers school fees and food during the lean season, reducing the family's need for high-interest informal loans.

Real-World Example: Studies of domestic remittance flows (NSSO 64th round; RBI/India Post payment data) show Bihar, Uttar Pradesh, Odisha, and Rajasthan as the largest recipient states, with remittances forming a significant share of consumption for recipient households. Kerala's earlier experience with Gulf remittances shows the transformative long-run effect: high consumption, housing booms, and rising local wages.

Why It Matters: Remittances redistribute the gains of urban growth to rural India — arguably more effectively than many transfer schemes — which is why reducing the cost and friction of migration is itself an anti-poverty policy.

Common Misunderstanding: Brain drain is not an unambiguous loss. The prospect of migration raises returns to education (people invest in skills hoping to migrate), and return migration and remittances often outweigh the loss of workers.

5. Migrant Vulnerability and Policy Response

Definition: Migrant vulnerability refers to the exposure of migrant workers to informal employment, wage theft, poor housing, and loss of portable entitlements at the destination.

Explanation: Because most migrants work informally, they fall outside labour law protection in practice. The Inter-State Migrant Workmen Act, 1979 required registration of contractors and displacement allowances but was barely enforced; it has now been subsumed into the Occupational Safety, Health and Working Conditions Code, 2020. Two big institutional gaps stand out: (a) welfare portability — ration cards, until recently, worked only in the home state — and (b) invisibility in data — no reliable, current register of migrant workers existed when COVID-19 struck.

Example: A migrant family in Mumbai with a ration card issued in Jharkhand could not draw subsidised grain in Maharashtra before ration-card portability — despite being legally entitled to food security under the NFSA.

Real-World Example: The March 2020 lockdown triggered the largest reverse migration since Partition — government data reported over 11 million migrants returning home. Policy responses since include One Nation One Ration Card (ONORC) (nationwide portability of NFSA entitlements, fully rolled out by 2022), the e-Shram portal (a national database of unorganised workers, with over 29–30 crore registrations), the Affordable Rental Housing Complexes (ARHC) scheme under PMAY-U, and the PM Garib Kalyan Rojgar Abhiyaan (2020) for returned migrants in 116 districts across six states.

Why It Matters: The economic gains from migration depend on how safely and cheaply people can move. Reducing migration frictions — portable rations, rental housing, registration — raises national productivity, not just migrant welfare.

Common Misunderstanding: Policy should not aim to stop migration by "developing villages so no one has to leave." Structural transformation everywhere in the world involves labour moving out of agriculture; good policy makes migration safer, not rarer.

Visual Learning

The Migration–Employment Cycle

Types of Migration by Stream and Duration

Key Terms

Term	Definition	Context / Related Concepts
Internal migration	Change of usual residence within a country	Measured by Census (place of birth / last residence)
Circular (seasonal) migration	Repeated short-term moves between origin and destination	Common in construction, brick kilns, sugarcane harvesting
Push factors	Adverse origin conditions driving out-migration	Drought, landlessness, low wages
Pull factors	Attractive destination conditions	Wage gap, jobs, networks
Harris–Todaro model	Migration responds to expected urban wage (wage × job probability)	Explains urban informal sector growth despite unemployment
Expected wage	Wage multiplied by probability of employment	Core decision variable in Harris–Todaro
Remittances	Earnings sent home by migrants	Consumption smoothing, informal insurance
Brain drain / brain gain	Loss / gain of skilled workers via migration	Return migration turns drain into circulation
Lump of labour fallacy	False belief that the number of jobs is fixed	Underlies "migrants steal jobs" claims
ONORC	One Nation One Ration Card — nationwide NFSA portability	Key migrant welfare reform, full rollout 2022
e-Shram	National database of unorganised workers (launched 2021)	29+ crore registrations; links to social security
OSH Code, 2020	Labour code subsuming the Inter-State Migrant Workmen Act, 1979	Extends coverage to workers recruited directly, not just via contractors
Reverse migration	Return of migrants to origin, e.g., during COVID-19 lockdown	11+ million returned in 2020

Evidence and Data

• Census 2011: ~450 million internal migrants (37% of population); women migrating for marriage form the largest single category.
• Economic Survey 2016-17: Estimated annual inter-state labour migration of ~9 million (2011–2016) using railway passenger flows; the "Cohort-based Migration Metric" showed migration accelerating, nearly doubling versus the 1990s.
• PLFS 2020-21 migration module: All-India migration rate of 28.9%; female migration rate 47.9% (dominated by marriage) versus 10.7% for males (dominated by employment).
• Working Group on Migration (2017, Ministry of Housing & Urban Poverty Alleviation): Recommended portable entitlements, inclusion of migrants in housing policy, and better data.
• COVID-19 (2020): Government reported 11.4 million migrants returned home during the lockdown, exposing the absence of a migrant database and prompting e-Shram.

Real-World Applications

• Urban planners use migration projections to size housing, water, and transport for cities like Bengaluru and Surat, which grow primarily through in-migration.
• State governments (e.g., Kerala) run health insurance and registration schemes for inter-state workers because their economies would stall without migrant labour.
• Firms in construction, textiles, and logistics build recruitment pipelines through labour contractors (mistris, sardars) tapping specific source districts — the network channel of migration.
• Exam relevance: Migration questions appear regularly in UPSC GS-I (urbanisation), GS-II (welfare schemes), GS-III (employment), and economics optionals (Harris–Todaro, dual economy models).

Common Mistakes

1. Misconception: Most migration in India is rural-to-urban movement of men seeking jobs. Why it is wrong: Census data show rural–rural migration is the largest stream, and marriage — not employment — is the most common stated reason, because of the convention of women moving to the husband's village. Correct explanation: Employment-driven, male-dominated, rural–urban migration is the most important stream for labour market analysis, but it is a minority of total migration by headcount. Always specify which stream you are discussing.

2. Misconception: Migrants take jobs away from local workers and depress their wages sharply. Why it is wrong: This commits the lump of labour fallacy. Migrants add to labour demand (they consume goods and services), fill vacancies locals decline, lower production costs, and enable firms to expand — so total employment grows. Correct explanation: Evidence from high in-migration states like Kerala shows local wages remaining high alongside large migrant inflows; migrants and locals are often complements, not substitutes.

3. Misconception: The policy goal should be to stop migration by developing rural areas. Why it is wrong: No country has industrialised without large-scale movement of labour out of agriculture. Blocking migration traps workers in low-productivity work and slows poverty reduction. Correct explanation: Policy should reduce distress and friction — portable entitlements (ONORC), decent rental housing (ARHC), registration and social security (e-Shram, OSH Code) — so that migration is a safe choice, not a desperate gamble.

Comparison and Connections

Dimension	Seasonal / Circular Migration	Permanent Migration	International Emigration (contrast)
Duration	Few months, repeated annually	Long-term change of residence	Long-term, across borders
Typical sectors	Construction, brick kilns, harvesting, textiles	Services, manufacturing, government	Gulf construction/services, skilled IT (US/UK)
Family	Usually individual moves; family stays at origin	Whole household often relocates	Individual first; family later if allowed
Welfare issue	Loss of entitlements at destination; children's schooling disrupted	Urban housing, integration	Foreign exchange remittances (~$100bn+/yr to India)
Data source	Poorly captured by Census; better in NSSO/PLFS modules	Census, PLFS	RBI balance of payments, MEA
Policy lever	ONORC, e-Shram, contractor regulation	Urban housing, jobs	Emigration Act, bilateral agreements

Connections: Migration links directly to the informal sector (Topic 5 — most migrants work informally), labour market dynamics (Topic 1 — labour supply shifts), wage determination (Topic 4 — wage gaps drive movement), and development economics' dual-economy models (Lewis model of surplus labour transfer).

Practice Questions

Recall

1. What was the approximate number of internal migrants in India according to the 2011 Census, and what is the largest migration stream by headcount? Answer guidance: About 450 million internal migrants (~37% of population); rural–rural migration is the largest stream, driven substantially by marriage migration of women.

2. Name three government initiatives aimed at migrant worker welfare introduced or expanded after 2020. Answer guidance: One Nation One Ration Card (portability of NFSA rations), e-Shram portal (database of unorganised workers), Affordable Rental Housing Complexes under PMAY-U; also acceptable: PM Garib Kalyan Rojgar Abhiyaan, OSH Code 2020.

Understanding

3. Explain the Harris–Todaro model. Why can creating more urban jobs paradoxically increase urban unemployment? Answer guidance: Migration equalises rural wage with expected urban wage (urban wage × employment probability). New urban jobs raise the employment probability, attracting more migrants than jobs created; the excess swells urban unemployment/informal work until expected wages re-equalise.

4. Why do migrant workers typically earn less than comparable local workers when they first arrive, and why does this gap narrow over time? Answer guidance: Initially migrants lack local networks, information, and bargaining power, and may be tied to contractors who take a cut; over time they build contacts, learn local labour market conditions, and switch to better-paying employers, so wages converge.

Application

5. Suppose a state passes a law reserving 75% of private-sector jobs for local domiciles. Using labour economics, predict the effects on firms, local workers, and migrant-sending states. Answer guidance: Firms face higher labour costs and hiring constraints → some relocate or automate; local workers gain some jobs short-run but total employment may fall as firms shrink; sending states lose remittance income; national labour allocation becomes less efficient. Mention constitutional issues (Article 19(1)(g), freedom of movement under 19(1)(d)–(e)).

6. A drought hits a rain-fed district in Marathwada. Trace the migration and labour-market consequences at origin and destination over the following year. Answer guidance: Push factor intensifies → seasonal out-migration rises (construction, sugarcane cutting); origin: remittances smooth consumption, local casual wages may rise as labour supply falls; destination: labour supply rises, slight downward wage pressure in migrant-heavy occupations; MGNREGA demand at origin also rises as an alternative to migration.

Analysis

7. "Remittances are a more effective anti-poverty transfer than many government schemes." Critically evaluate this claim for India. Answer guidance: For: self-targeted to needy households, no leakage through bureaucracy, flexible use, counter-cyclical insurance. Against: exclude households unable to send migrants (the poorest, elderly), depend on migrants bearing high personal costs, no public-goods component. Balanced conclusion: complements, not substitutes — schemes like ONORC amplify remittance-generating migration.

8. Compare the COVID-19 reverse migration of 2020 with normal seasonal return migration. What did the crisis reveal about India's institutional treatment of migrants? Answer guidance: Scale and involuntariness distinguished it (11+ million, sudden, no transport initially); revealed: no migrant database, non-portable rations, urban housing precarity, dependence on daily wages with zero savings buffer, weak enforcement of the 1979 Act. Institutional response: e-Shram, ONORC acceleration, ARHC — evaluate whether these address root informality.

FAQ

Q1. Is migration good or bad for the Indian economy? On net, strongly positive: it moves labour from low-productivity agriculture to higher-productivity urban sectors, raising GDP, and remittances spread urban gains to rural households. The problems associated with migration — slums, informality, exploitation — are failures of housing, labour, and welfare institutions, not of migration itself.

Q2. Why did migrants walk home during the 2020 lockdown instead of staying in cities? Most were daily-wage informal workers with no savings, no employer obligation to pay them, rented rooms they couldn't afford, and ration cards valid only in their home state. With income, food security, and housing all cut off simultaneously, returning to the village — where family and land offered subsistence — was the rational fallback.

Q3. What is the difference between the Census and PLFS as sources of migration data? The Census (decennial) captures the stock of lifetime migrants via place of birth/last residence but misses short-term circular movement and is now dated (2011). PLFS migration modules (e.g., 2020-21) are more current and capture reasons for migration, but sample-based. The Economic Survey 2016-17 used railway data to estimate dynamic flows the Census misses.

Q4. Does MGNREGA reduce migration? Partly. By guaranteeing 100 days of local wage employment, MGNREGA raises the rural fallback wage, reducing distress seasonal migration in drought years. Evidence suggests it dampens short-term distress moves but does not (and should not) stop aspirational long-term migration to better-paying urban jobs.

Q5. What replaced the Inter-State Migrant Workmen Act, 1979? The Occupational Safety, Health and Working Conditions Code, 2020 subsumed it. The Code broadens the definition of inter-state migrant worker to include those who move on their own (not only via contractors), provides for portability of benefits, and mandates a journey allowance — though implementation awaits full operationalisation of the labour codes.

Quick Revision

• India had ~450 million internal migrants (Census 2011, ~37% of population); Economic Survey 2016-17 estimated ~9 million inter-state labour migrants per year.
• Largest stream by headcount: rural–rural (marriage-dominated); most important for labour economics: rural–urban employment migration.
• Harris–Todaro: migrate if expected urban wage (wage × job probability) > rural wage; explains urban informal sector growth.
• Major source states: UP, Bihar, Odisha, Rajasthan; major destinations: Maharashtra, Delhi, Gujarat, Tamil Nadu, Kerala.
• Migrants and locals are often complements; "migrants steal jobs" is the lump of labour fallacy.
• Remittances smooth consumption, fund education/health, and act as informal insurance for origin households.
• COVID-19 (2020): 11+ million reverse migrants; exposed non-portable rations, no database, housing precarity.
• Policy toolkit: ONORC (ration portability, full rollout 2022), e-Shram (29+ crore registered), OSH Code 2020 (subsumes 1979 Act), ARHC rental housing, PM Garib Kalyan Rojgar Abhiyaan.
• PLFS 2020-21: migration rate 28.9%; female 47.9% (marriage), male 10.7% (employment).
• Good policy reduces migration friction and distress — it does not aim to stop migration.

Related Topics

Prerequisites

• Labor Market Dynamics — labour supply, demand, and unemployment concepts used throughout this topic.

Related Topics

• Informal Sector — where most migrants actually work.
• Wage Determination — the wage gaps that drive migration.
• Gender and the Labor Market — marriage migration and female labour force participation.

Next Topics

• Industrial Relations — how organised workplaces govern the labour migrants aspire to enter.
• Labor Laws and Reforms — the OSH Code 2020 and the legal framework for migrant workers.