Society

How does India work?

India's labour force is young and massive but mostly self-employed, informal, and stuck on farms. A low unemployment rate hides a crisis for educated youth, while women remain largely left out.

Chart

India sends the world's largest workforce out to work

India's labour force has doubled from 30.8 crore in 1990 to 61.8 crore in 2025, the largest on Earth.

World Bank · total labour force · 1990 to today

people
0204060 crore1990200020102020Labor force, total61.8 crore202530.8 crore in 199030.8 crore in 1990crore02040601990200020102020Labor force, total61.8202530.8 in 199030.8 in 1990
About this chart

This line chart from the World Bank shows the total number of people in India's labour force, those working or looking for work, from 1990 to 2025. The line climbs steadily from 30.8 crore to 61.8 crore over 35 years. That is more than the entire population of Europe. The sheer volume drives every other labour market indicator. Even small percentage changes affect crores of lives. Note this is a modelled estimate, not the PLFS survey figure, but it is the standard for cross‑country comparison. For India, the PLFS' own counts give a slightly different level but show the same rapid growth.

Why this chart Any account of how India works has to start with the sheer size of the labour pool it has to absorb.

How to read it Line chart of total labour force (people) from 1990 to today; look at the upward trajectory and the latest 61.8 crore figure.

Watch out Do not confuse this with PLFS numbers; it is a World Bank modelled estimate.

In this article 33 sections
  1. What does it mean to have the world’s largest workforce?
  2. Why does India’s age structure matter for jobs?
  3. Who is actually working and who is looking?
  4. Why is India’s unemployment rate so low?
  5. Does it matter which way you count the unemployed?
  6. How does India’s participation compare to its neighbours?
  7. Why do so few women participate in the workforce?
  8. Where are the women who are returning to work?
  9. How does India’s female work participation rank globally?
  10. What are young women doing if not working or studying?
  11. What kind of work do Indians actually do?
  12. How much of the workforce has a proper job with security?
  13. How informal is Indian employment, officially?
  14. Is India’s informality rate higher than its peers?
  15. Is formal sector hiring picking up?
  16. Why are so many workers still in agriculture?
  17. Does the economy’s output match where workers are?
  18. How does India’s farm employment compare with countries like Vietnam?
  19. How has India’s income per person changed over centuries?
  20. How much do salaried and self‑employed workers earn?
  21. Have salaried wages really increased after inflation?
  22. What does a daily‑wage labourer earn?
  23. How have rural wages changed over the long term?
  24. What happens to rural wages when you account for rising prices?
  25. How productive is the average Indian worker compared to peers?
  26. Does having a job mean you are not poor?
  27. Why are the graduates the ones without jobs?
  28. How bad is youth unemployment?
  29. How does India’s youth joblessness compare globally?
  30. Does unemployment differ by caste?
  31. What is the latest monthly unemployment rate?
  32. How does MGNREGA act as a safety net?
  33. How many days of work does MGNREGA actually provide?

What does it mean to have the world’s largest workforce?

India’s labour force crossed 61.8 crore in 2025, double the 30.8 crore of 1990. That is more than the entire population of Europe. The World Bank estimate is a modelled one, so the exact number from India’s own PLFS survey differs, but the scale is undeniable.

This many people seeking a livelihood is both the country’s greatest asset and its most urgent policy challenge. Every year, roughly a crore Indians reach working age and need a job, income, or at least some way to survive. The labour force is the denominator for almost every other number on this page. Its size is why even small percentage improvements matter, and why the structure of work, not just its existence, defines how India lives.

Why does India’s age structure matter for jobs?

India is at the peak of a demographic window. The share of people aged 15 to 64, the working ages, rose from 56% in 1960 to 68.4% by 2025. Meanwhile, the child share (0–14) fell from 40.6% to 24.2%, and the elderly (65+) is still low at 7.4%.

That means fewer mouths to feed and more hands to work, a combination economists call the demographic dividend. But the dividend is not automatic. It works only if the economy creates productive work for those millions entering the labour market. If it doesn’t, this young population can become a burden instead of a bonus. The demographic figures come from the World Bank.

Chart

A young country, in its working years

The working-age share (15–64) has risen to 68.4% while the child share fell to 24.2%, a peak demographic dividend window.

World Bank · share of population by age · 1960 to today

% of population
020406080%1960197019801990200020102020Children (0–14)Working age (15–64)Older (65+)Children (0–14)24.2%Working age(15–64)68.4%Older (65+)7.4%%0204060801960198020002020Children (0–14)Working age (15–64)Older (65+)24.2%24.2%68.4%68.4%7.4%7.4%
Children (0–14)Working age (15–64)Older (65+)
About this chart

Three lines show India's age structure since 1960. The working-age share (black) rose from 56.1% to 68.4%. The child share (blue) dropped from 40.6% to 24.2%. The elderly share (red) increased modestly to 7.4%. This means fewer dependents and more potential workers. Economists call this the demographic dividend. But the dividend is not automatic; it requires job creation. If the economy fails to employ these millions, the young cohort becomes a burden. The data come from the World Bank's population estimates.

Why this chart India's labour story rides on its demography: the working-age share is near its peak, the 'dividend' window.

How to read it Multi-line chart with three lines (0-14, 15-64, 65+); note the rising working-age share and falling child share.

Watch out Do not assume the dividend is automatic; it requires job creation.

Who is actually working and who is looking?

The PLFS gives two headline ratios. The (LFPR) rose from 49.8% in 2017‑18 to 60.1% in 2023‑24: six in ten working‑age Indians are either employed or actively looking. The (WPR) climbed from 46.8% to 58.2%, meaning nearly all who join the labour force find something to do. The small gap between the two lines is the unemployment pool. Both numbers have risen steadily, signalling that more people are entering the workforce, especially women. But keep in mind these are usual status figures, measured over a full year, not a single week.

Chart

Who shows up: participation and employment

The Labour Force Participation Rate (LFPR) rose to 60.1% and the Worker Population Ratio (WPR) to 58.2%, with the small gap being unemployment.

PLFS · usual status (PS+SS), 15+ · survey years 2017-18 to 2023-24

%
45505560%2017-182018-192019-202020-212021-222022-232023-24In the labour force (LFPR)Actually working (WPR)In the labourforce (LFPR)60.1%Actuallyworking (WPR)58.2%%455055602017-182019-202021-222023-24In the labour force (LFPR)Actually working (WPR)
In the labour force (LFPR)60.1%Actually working (WPR)58.2%
About this chart

This PLFS chart shows two key ratios from 2017‑18 to 2023‑24. LFPR (blue) measures the share of adults 15+ who are working or actively looking. It rose from 49.8% to 60.1%. WPR (black) measures the share actually employed; it rose from 46.8% to 58.2%. The tiny gap between them is the unemployed. Both lines moved up together, meaning more people entered the labour force and most found something to do. These are usual status figures, capturing activity over a full year, not a single week.

Why this chart Two of the three headline numbers: how many Indians offer to work, and how many are working.

How to read it Two lines: LFPR (blue) and WPR (black); the small gap is the unemployed. Notice the rise from 2017-18 to 2023-24.

Watch out Do not interpret LFPR as employment rate; it includes unemployed who are looking.

Source MoSPI

Why is India’s unemployment rate so low?

India’s headline unemployment rate is 3.2% (2023‑24), down from 6% in 2017‑18. For a country this size, that seems remarkably low. The catch: in a poor country with no universal unemployment insurance, most people cannot afford to stay out of work. They take any work available, whether as a vegetable vendor, a security guard, or a casual labourer.

So a low unemployment rate often signals distress, not a healthy job market. The chart shows the fall, but the story behind it is that informal, low‑productivity work absorbed the extra workers. This is the central puzzle of Indian employment: the headline number looks good, but the quality of work is another matter entirely.

This is why unemployment is the wrong single scoreboard for India. A rich-country unemployment crisis often looks like people sitting outside work. An Indian jobs crisis often looks like too many people doing very small, poorly paid bits of work: helping on the family farm, running a tiny shop, taking casual construction shifts, driving for a platform, or doing unpaid family labour. They are counted as working, and technically they are working. But that does not mean the economy has produced a stable, productive job for them.

So the honest question is not “why is unemployment low?” It is “what kind of work are people forced into?” That is why this article reads unemployment beside LFPR, WPR, self-employment, casual labour, agriculture’s worker share, wages, youth joblessness and graduate unemployment. The unemployment rate tells us who is openly jobless. It does not tell us who is underemployed, who has stopped searching, who is unpaid in a family enterprise, or who has work that does not pay enough to live with dignity.

There is also a measurement problem. India’s labour statistics are not useless, but they are easy to over-read. PLFS has improved the official picture a lot, and the new monthly series is useful, but unemployment depends heavily on the reference period and definition. Usual Status asks about the broad pattern over the year; Current Weekly Status asks about the past week and usually finds more joblessness. Neither measure fully captures disguised unemployment, intermittent work, poor hours, or the difference between a real job and survival work.

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The unemployment rate is low, and that is the puzzle

The headline unemployment rate fell to 3.2%, but low joblessness in a poor country often signals distress, not plenty.

PLFS · unemployment rate, usual status, 15+

%
3456%2017-182018-192019-202020-212021-222022-232023-24Unemployment Rate — persons (15+)3.2%2023-246% in 2017-186% in 2017-18%34562017-182019-202021-222023-24Unemployment Rate — persons (15+)3.2%3.2%2023-242023-24
About this chart

A single line from the PLFS shows the unemployment rate (UR) for persons 15+ on usual status. It dropped from 6% in 2017‑18 to 3.2% in 2023‑24. That looks great, but the UR counts only those actively seeking work. In a country with no dole, the poor cannot afford to search; they take any work. So a low UR often means distress-driven employment. The chart's downward slope is real, but it masks the fact that many workers are in low-quality, informal jobs. This paradox is central to understanding Indian labour markets.

Why this chart India's headline joblessness is strikingly low for a poor country, which is itself the central paradox of how India works.

How to read it Single line falling from 6% to 3.2%; the downward trend masks distress-driven employment.

Watch out Do not take low UR as a sign of healthy labour market; it often means people take any work available.

Source MoSPI

Does it matter which way you count the unemployed?

It matters a great deal. Usual status asks whether a person found work across a whole year; current weekly status asks only about the past week, and it always finds more joblessness because one bad week is enough to be counted. On MoSPI’s calendar-year figures the two measures pull apart every single year. In 2025, usual-status unemployment was 3.1%, but measured week by week it was 5.3%. The weekly line sits well above the yearly one throughout, which is a warning that the comforting headline rate is partly a product of a forgiving definition.

When work is casual and comes and goes, the week you happen to ask about decides the answer. These are the newer calendar-year estimates, not the survey-year numbers used elsewhere on this page.

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Count the same joblessness two ways, get two answers

On a weekly measure, unemployment runs about two points higher than the yearly headline — 5.3% versus 3.1% in 2025.

PLFS · unemployment rate, usual vs current weekly status, 15+ · calendar year

%
3456%2022202320242025Usual status (over a year)Current weekly status (past week)Usual status(over a year)3.1%Current weeklystatus (past week)5.3%%34562022202320242025Usual status (over a year)Current weekly status (past week)3.1%3.1%5.3%5.3%
Usual status (over a year)Current weekly status (past week)
About this chart

This chart puts MoSPI’s two calendar-year unemployment measures side by side. Usual status, the yearly headline, counts someone as unemployed only if they found little work across the whole year; current weekly status counts anyone without work in the reference week. The weekly line is higher every year, because intermittent and casual work leaves many people jobless in any given week even if they worked at some point in the year. The gap is the space between the official good-news number and the lived experience of insecure work.

Why this chart The page argues that the low headline rate hides how insecure work really is; this shows that even the official statistics say something harsher once you change the reference period.

How to read it Two lines, both the unemployment rate: the lower one is usual status (annual), the upper one current weekly status. Watch the gap between them.

Watch out Do not read the two lines as a trend break. They are the same joblessness measured two ways in the same years, on the newer calendar-year basis (2022-2025), not the survey-year series used elsewhere on this page.

Source MoSPI

How does India’s participation compare to its neighbours?

When placed beside peers, India’s labour force participation is low. The World Bank’s modelled rate for 2025 is 55.7% of the 15+ population. Vietnam is at 72.8%, Indonesia 68%, China 64.6%, Bangladesh 58.8%, and the world average is 61%. India sits near the bottom.

These are modelled ILO estimates, not the same as PLFS, but they enable cross‑country comparison. The gap with Vietnam, a country that employed millions in export‑oriented manufacturing, shows what is possible. India’s low overall participation is not because men aren’t working; it’s because a huge share of women are outside the labour force entirely.

Chart

India works less than its neighbours

India's overall LFPR at 55.7% in 2025 is far below Vietnam's 72.8%, China's 64.6%, and Indonesia's 68%.

World Bank (modelled ILO) · labour force participation · 1990 to today

% of population 15+
50607080%1990200020102020BangladeshWorldIndonesiaChinaVietnamIndiaIndia55.7%China64.6%Bangladesh58.8%Vietnam72.8%Indonesia68.0%World61.0%%506070801990200020102020BangladeshWorldIndonesiaChinaVietnamIndia55.7%55.7%64.6%64.6%72.8%72.8%
IndiaChinaVietnamIndonesiaBangladesh, World
About this chart

This multi-line World Bank chart compares labour force participation rates across countries from 1990 to 2025. India's line sits near the bottom at 55.7%. Vietnam leads at 72.8%, followed by Indonesia (68%), China (64.6%), and Bangladesh (58.8%). The world average is 61%. India's line has drifted downward slightly over the long term, while Vietnam's stayed high. These are modelled ILO figures, so they differ from PLFS numbers, but they enable apples-to-apples comparison. The gap highlights India's low overall participation, driven mainly by the absence of women from the workforce.

Why this chart Put India next to its peers and it is a participation outlier, fewer of its adults are in the workforce at all.

How to read it Multi-line chart with India at the bottom (55.7%), Vietnam on top (72.8%); observe the gap.

Watch out Remember modelled ILO rates differ from PLFS; comparisons are valid across countries using the same source.

Why do so few women participate in the workforce?

The male‑female participation gap is the single biggest fact about who works in India. In 2023‑24, the male LFPR was 78.8%; the female LFPR was 41.7%. Both have risen since 2017‑18 (male from 75.8%, female from 23.3%), but the gap remains enormous. Many women work, but their work is often not captured as ‘economic’, unpaid care, family farm help, household chores. The PLFS counts those as outside the labour force. The recent rise in female LFPR is real and encouraging, but it still leaves India with one of the largest gender gaps in the world. The chart makes the divide stark: a near‑horizontal line for men, a rising but still low line for women.

Chart

The single biggest reason India works less: women

Male LFPR was 78.8% versus female 41.7% in 2023‑24, an enormous gender gap.

PLFS · LFPR by sex, 15+ · 2017-18 to 2023-24

%
020406080%2017-182018-192019-202020-212021-222022-232023-24MenWomenMen78.8%Women41.7%%0204060802017-182019-202021-222023-24MenWomen78.8%78.8%41.7%41.7%
MenWomen
About this chart

Two PLFS lines show participation by sex. Men's LFPR (blue) is high and nearly flat, moving from 75.8% to 78.8%. Women's LFPR (black) is low but rising, from 23.3% to 41.7%. The gap is still 37 percentage points. This means millions of women are outside the workforce, often doing unpaid household or farm work that the surveys do not count as 'economic'. The recent rise is real and welcome, but it has not closed the gap. The chart makes obvious that India's low overall participation rate is overwhelmingly a women's story.

Why this chart The gap between male and female participation is the largest single fact about who works in India.

How to read it Two lines: male LFPR high and flat around 78%, female LFPR low but rising from 23% to 42%.

Watch out Do not miss that female LFPR in PLFS (usual status) is higher than World Bank estimates.

Source MoSPI

Where are the women who are returning to work?

The female LFPR rise is almost entirely a rural story. Rural women’s LFPR jumped from 24.6% in 2017‑18 to 47.6% in 2023‑24. Urban women moved much less, from 20.4% to 28%. In the countryside, more women are being counted as self‑employed on family farms, often as own‑account workers.

This is not a shift to formal office jobs; it’s a counting of unpaid household‑farm labour as economic activity. The urban line remains stubbornly low, suggesting that formal employment for women outside agriculture is still rare. So when you hear that women are ‘returning to work’, be careful: they are returning mostly to the family’s own land.

Chart

Where the women returning to work are

The female LFPR rise is driven by rural women (from 24.6% to 47.6%), not urban (from 20.4% to 28%).

PLFS · female LFPR by sector, 15+

%
01020304050%2017-182019-202021-222023-24Rural womenUrban womenRural women47.6%Urban women28.0%%010203040502017-182019-202021-222023-24Rural womenUrban women47.6%47.6%28.0%28.0%
Rural womenUrban women
About this chart

This PLFS chart splits female participation into rural and urban. The rural line surged from 24.6% to 47.6%, nearly doubling. The urban line inched up from 20.4% to 28%. This shows the rise is not a story of urban women entering offices but of rural women being counted as self-employed on family farms and in own-account enterprises. The gap between rural and urban has widened. So when news reports celebrate more women working, it's important to know that the 'returning' is largely to agricultural and allied activities, not to formal employment.

Why this chart The female rebound is overwhelmingly a rural, farm-based story, not an office one.

How to read it Two lines: rural female LFPR (solid) rising strongly, urban (dashed) barely moving; gap widens.

Watch out Do not assume rising female LFPR means more formal jobs; it is mainly own-account agricultural work.

Source MoSPI

How does India’s female work participation rank globally?

Despite the PLFS rise, India’s female labour force participation remains among the lowest in the world. The World Bank’s modelled figure for India in 2025 is 32.4% of adult women. Vietnam’s is 68.6%, China’s 59.1%, Indonesia’s 53.7%, Bangladesh’s 38.6%, and the world average is 48.9%. India is at the bottom of this comparison group. Even Bangladesh, which was once behind India, has moved ahead, driven by its garment industry. The PLFS numbers for the latest year are higher (41.7% usual status), but the comparative picture unchanged: India’s women are largely absent from measured work, and that absence drags down the country’s overall participation and economic potential.

Chart

India's women work less than almost anywhere comparable

India's female LFPR of 32.4% (World Bank 2025) is far below Vietnam's 68.6% and China's 59.1%.

World Bank (modelled ILO) · female labour force participation · 1990 to today

% of female population 15+
020406080%1990200020102020BangladeshIndonesiaWorldChinaVietnamIndiaIndia32.4%China59.1%Bangladesh38.6%Vietnam68.6%Indonesia53.7%World48.9%%0204060801990200020102020BangladeshIndonesiaWorldChinaVietnamIndia32.4%32.4%59.1%59.1%68.6%68.6%
IndiaChinaVietnamWorldBangladesh, Indonesia
About this chart

This multi-line chart from the World Bank shows female labour force participation rates for several countries. India is at 32.4%, the lowest in the group. Vietnam, with its export manufacturing, leads at 68.6%, followed by China (59.1%), Indonesia (53.7%), and Bangladesh (38.6%). The world average is 48.9%. India's line has been flat for decades, only recently inching up. Even Bangladesh, which started lower, has overtaken India through the garment industry. The PLFS may give higher numbers for recent years, but the relative position remains poor.

Why this chart Even after the recent rise, India sits near the bottom of the world on women in the workforce.

How to read it Multi-line: India lowest (32.4%), Vietnam highest (68.6%); note the 2023-24 PLFS figure is higher than this modelled estimate.

Watch out Use this for relative position, not absolute female LFPR level; PLFS gives higher numbers.

What are young women doing if not working or studying?

Four in ten young Indian women fall into the category: Not in Employment, Education, or Training. In 2025, the NEET rate for women aged 15–24 was 39.7%, against 12.2% for young men. The overall youth NEET rate was 25.6%.

This ILO modelled measure captures a deeper exclusion than unemployment, these are young people disconnected from both the labour market and skill‑building. The NEET rate has fallen over time (from 57% for women in 2000), but it remains huge. It points to early marriage, care responsibilities, or simply a lack of acceptable work for young women. The chart shows the gender gap in who is engaged in something counted.

Chart

Four in ten young women are doing nothing officially counted

39.7% of young women (15–24) are NEET, versus 12.2% of young men.

ILOSTAT (SDG 8.6.1) · youth not in employment, education or training

% of youth 15–24
0204060%200020052010201520202025Young womenYoung menAll youthYoung women39.7%Young men12.2%All youth25.6%%0204060200020102020Young womenYoung menAll youth39.7%39.7%12.2%12.2%25.6%25.6%
Young womenYoung menAll youth
About this chart

This ILO chart tracks the NEET rate over time. The total youth line (red) stands at 25.6% in 2025, down from 32.7% in 2000. But the real story is in the gender breakdown: female NEET (blue) is 39.7%, male NEET (black) only 12.2%. That means nearly four in ten young women are neither in employment, education, nor training. They are outside the system entirely, often due to early marriage, domestic work, or simply the lack of acceptable work. The gap has been narrowing but remains enormous. This is a broader measure than unemployment and captures deep exclusion.

Why this chart The missing-women story has a sharp young edge: a huge share of young women are neither working, in school, nor in training, the NEET measure.

How to read it Three lines: female NEET highest (39.7%), male lowest (12.2%), total in between; declining trend but still high.

Watch out NEET includes those outside labour force; it is not the same as unemployment rate.

What kind of work do Indians actually do?

The typical Indian worker is not a salaried employee with a payslip. In 2023‑24, 58.4% of workers were self‑employed, up from 52.2% in 2017‑18. That includes farmers, shopkeepers, hawkers, and own‑account workers with no employees. Casual labourers made up another 19.8%, down from 24.9%. Only 21.7% of workers had a regular wage or salaried job, a share that barely budged (22.8% at the start).

So the labour market is dominated by own‑account enterprise and day‑to‑day hiring. Self‑employment is not a synonym for entrepreneurship; most of it is survival work. The chart is a stacked percentage of worker distribution, and it barely moves over time.

Chart

Most Indians don't have a job, they have work

58.4% of workers are self-employed, 19.8% casual labour, and only 21.7% regular salaried.

PLFS · distribution of workers by status · 2017-18 to 2023-24

% of workers
0204060%2017-182018-192019-202020-212021-222022-232023-24Self-employedRegular wage/salariedCasual labourSelf-employed58.4%Regularwage/salaried21.7%Casual labour19.8%%02040602017-182019-202021-222023-24Self-employedRegular wage/salariedCasual labour58.4%58.4%21.7%21.7%19.8%19.8%
Self-employedRegular wage/salariedCasual labour
About this chart

This PLFS chart shows the distribution of workers by status of employment. Self-employment (blue) is the largest share at 58.4% in 2023‑24, up from 52.2%. Casual labour (red) declined from 24.9% to 19.8%. Regular wage/salaried work (black) barely moved, from 22.8% to 21.7%. The dominance of self-employment means the typical worker runs a tiny enterprise, a tea stall, a tailoring shop, a vegetable cart, with no employer and no fixed salary. This is not the kind of job a payslip represents. The chart illustrates why the word 'job' can be misleading in India.

Why this chart The defining feature of how India works: the typical worker runs a tiny own-account enterprise, not holds a salaried job.

How to read it Stacked area or multi-line: self-employed (58.4%), casual (19.8%), regular wage (21.7%). Note self-employment rising, regular wage stagnant.

Watch out Do not equate self-employed with entrepreneur; most are own-account workers with no employees.

Source MoSPI

How much of the workforce has a proper job with security?

The World Bank’s long‑run series confirms the survey picture. ‘’, own‑account and unpaid family workers, stood at 71.6% of employment in 2025, down from 85.9% in 1991 but still very high. Wage and salaried workers made up only 25.1% of employment, up from 13%. The self‑employed category (a broader World Bank measure) is 74.9%.

So about three in four workers have no employer, no contract, and no social security. The vulnerable employment line has declined slowly, but the pace is insufficient to transform the labour market. This is the long structural drag on incomes and productivity.

Chart

Secure formal jobs stay scarce

Vulnerable employment still accounts for 71.6% of workers, while wage and salaried workers are only 25.1%.

World Bank (modelled ILO) · status in employment, India · 1991 to today

% of total employment
050100%200020102020Self-employedWage & salariedVulnerable employmentSelf-employed74.9%Wage & salaried25.1%Vulnerableemployment71.6%%050100200020102020Self-employedWage & salariedVulnerable employment74.9%74.9%25.1%25.1%71.6%71.6%
Self-employedWage & salariedVulnerable employment
About this chart

This World Bank chart shows three long-run series. Vulnerable employment (red) includes own-account workers and unpaid family workers; it was 85.9% in 1991 and fell to 71.6% by 2025, still over seven in ten workers. Self-employed (blue) is a broader category at 74.9%. Wage and salaried workers (black) rose from 13% to 25.1%. The progress is real but slow. Vulnerable workers have no job security, no regular income, and no social protection. The lines show a gradual shift away from the most precarious forms of work, but the overwhelming majority still lack a proper employment contract.

Why this chart The long World Bank view confirms the survey: wage employment grows only slowly while vulnerable work stays high.

How to read it Three lines: self-employed declining slowly, wage/salaried rising slowly, vulnerable employment still above 70%.

Watch out Vulnerable employment is a subset of self-employment (own-account + unpaid family workers) and does not include casual labour.

How informal is Indian employment, officially?

The ILO’s puts a hard number on it: 87.2% of all employment in 2025 was informal. In agriculture, it was 98.6%; in industry, 83.4%; even in services, 75.8%. Informal jobs are those without social insurance, registration, or legal protection. The chart shows that informality is not confined to farms; it pervades every sector. The overall rate has edged down from 90.5% in 2010, but the core story remains: an overwhelming majority of Indian workers lack even basic formal safeguards. This is the structural reality behind every other labour market problem on this page.

Chart

How informal India's work really is

87.2% of all employment is informal; in agriculture, it's 98.6%, in services 75.8%.

ILOSTAT (SDG 8.3.1) · informal employment rate · 2010 to today

% of employment
708090100%2010201520202025All sectorsAgricultureIndustryServicesAll sectors87.2%Agriculture98.6%Industry83.4%Services75.8%%7080901002010201520202025All sectorsAgricultureIndustryServices87.2%87.2%98.6%98.6%83.4%83.4%75.8%75.8%
All sectorsAgricultureIndustryServices
About this chart

This ILO chart shows the informal employment rate by sector from 2010 to 2025. The total rate (blue) is 87.2%, meaning fewer than 13% of workers have formal jobs with social security. Agriculture (black) is nearly fully informal at 98.6%. Industry (red) is 83.4%, and services (green) 75.8%. Even in services, three-quarters of workers lack formal protections. The lines trend down slightly, but the pace is glacial. This chart puts a precise, internationally comparable number on the grip of informality, which lies behind low wages, weak productivity, and the absence of social safety nets.

Why this chart The ILO's official informality measure puts a hard number on the informality engine: the overwhelming majority of Indian jobs have no contract, no social security, no protection.

How to read it Four lines: total 87.2%, agriculture 98.6%, industry 83.4%, services 75.8%; agriculture nearly 100% informal.

Watch out Informal employment is defined by the job, not the sector; even formal sector enterprises can hire informal workers.

Is India’s informality rate higher than its peers?

India’s level of informal work is the highest among comparable countries. In 2025, the ILO rate for India was 87.2%. Bangladesh was 84% (2024), Indonesia 81% (2023), and Vietnam 67% (2024). Vietnam’s lower figure reflects its success in moving workers into formal manufacturing. High informality is common in South and Southeast Asia, but India sits at the top.

The chart shows all lines trending down slowly, but India’s line is the highest and flattest. This is a major reason why growth has not translated into meaningful improvement in working conditions for most Indians.

Chart

Informal work, India versus its peers

India's informal rate of 87.2% is higher than Bangladesh (84%), Indonesia (81%), and Vietnam (67%).

ILOSTAT (SDG 8.3.1) · informal employment rate

% of employment
6080100%2010201520202025IndiaBangladeshIndonesiaVietnamIndia87.2%Bangladesh84.0%Indonesia81.0%Vietnam67.0%%60801002010201520202025IndiaBangladeshIndonesiaVietnam87.2%87.2%84.0%84.0%81.0%81.0%67.0%67.0%
IndiaBangladeshIndonesiaVietnam
About this chart

This ILO chart compares informality across Asian countries. India (blue line) is highest at 87.2% in 2025. Bangladesh (black) is 84% (2024), Indonesia (red) 81% (2023), and Vietnam (green) 67% (2024). All countries show a slow decline, but the gaps persist. Vietnam's lower rate is tied to its success in creating formal manufacturing jobs. India's line is the highest and flattest, reflecting the structural stickiness of its informal sector. The chart underscores that while high informality is a regional feature, India is an extreme case.

Why this chart High informality is common across developing Asia, but India sits at the top of the range.

How to read it Multi-line: India highest (87.2%), Vietnam lowest (67.0%); all lines show gradual decline.

Watch out Data coverage differs; Vietnam's 2024 figure vs Indonesia's 2023.

Is formal sector hiring picking up?

The best high‑frequency indicator of formal job creation is the net new subscribers to the Employees’ Provident Fund (EPF). The latest monthly figure was 2.1 million (July 2025). The line chart shows seasonal ups and downs, with a generally rising trend since 2017.

But these are net additions to the EPF rolls, not net new jobs, the number includes re‑registrations, multiple accounts, and first‑time formalisation of existing employment. It tells a mixed story: the formal footprint is growing, but it still covers a tiny fraction of the workforce. The monthly volatility reminds us that formal hiring is episodic, not steady.

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Formal hiring, month by month

Net new EPF subscribers hit 2.1 million in July 2025, a monthly high-frequency signal of formalisation.

IndiaDataHub · net new EPF subscribers · monthly

persons
−1012 million2018202020222024Net new EPF subscribers (monthly)−0.3 million in May 2020−0.3 million in May 20202.1 millionJul 2025million−10122018202020222024Net new EPF subscribers (monthly)−0.3 in May 2020−0.3 in May 20202.1Jul 2025
About this chart

This line chart from IndiaDataHub shows net new subscribers to the Employees' Provident Fund each month. The series started at 2.65 lakh in September 2017 and rose to 21 lakh (2.1 million) by July 2025. The line is volatile, with dips and surges, but the trend is upward. However, 'net new subscribers' includes re-registrations, multiple job switches, and first-time formalisation, so it is not the same as net new jobs. Still, it is the closest real-time proxy for formal-sector movement. The monthly rhythm shows that formal hiring has momentum but remains a tiny portion of the overall workforce.

Why this chart The clearest high-frequency signal of formal-sector job creation is who is newly paying into the pension fund.

How to read it Line chart of net new EPF subscribers per month; observe peaks and seasonality; latest 2.1 million.

Watch out Net new includes re-registrations and may double-count multiple jobs; it is not net employment.

Why are so many workers still in agriculture?

The PLFS shows 43.5% of workers in agriculture in 2023‑24, slightly more than the 42.4% in 2017‑18. Industry held flat at 24.9%, and services edged down to 31.6%. The movement of workers out of farming, the hallmark of development, has stalled and even reversed. The pandemic pushed many urban workers back to the village, and the recovery has not pulled them back out.

This employment structure conflicts directly with the output structure, where agriculture contributes just 16.2% of GDP. The result is low farm incomes and meagre productivity. The chart lines are nearly flat, a troubling sign.

Chart

India's workers are still on the farm

43.5% of workers remain in agriculture, higher than in 2017‑18, while industry and services shares are stagnant.

PLFS · workers by broad sector (current weekly status) · 2017-18 to 2023-24

% of workers
20304050%2017-182018-192019-202020-212021-222022-232023-24AgricultureIndustryServicesAgriculture43.5%Industry24.9%Services31.6%%203040502017-182019-202021-222023-24AgricultureIndustryServices43.5%43.5%24.9%24.9%31.6%31.6%
AgricultureIndustryServices
About this chart

This PLFS chart uses current weekly status data. Agriculture's share (blue) was 42.4% in 2017‑18 and rose to 43.5% in 2023‑24. Industry (black) stayed at 24.9%. Services (red) fell slightly from 32.6% to 31.6%. The pandemic sent workers back to villages, and many have not returned. This reverses the expected structural transformation, workers moving from farm to factory. The near-flat lines reveal an economy that is not creating enough non-farm jobs to pull people out of agriculture, locking millions into low-productivity work.

Why this chart The textbook path runs farm to factory to office. India's workers largely stopped at the first step, and lately drifted back.

How to read it Multi-line: agriculture 43.5%, industry 24.9%, services 31.6%; agriculture share increased from 2017-18.

Watch out Current weekly status may show higher agricultural share due to seasonality.

Source MoSPI

Does the economy’s output match where workers are?

No, and the gap is widening. In 2025, services generated 49.3% of India’s gross value added, industry 25.2%, and agriculture just 16.2%. Agriculture’s share of output has fallen from 41.7% in 1960, while employment in farming remains stuck above 40%. This is the classic ‘productivity scissors’: nearly half the output comes from services, where only a third of workers are, while nearly half the workers are in agriculture producing less than a fifth of income. The two charts, output shares and employment shares, show a structural mismatch that explains persistent rural poverty and inequality.

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...but the economy's output moved to services long ago

Services generate 49.3% of GVA, but employ only 31.6% of workers; agriculture, just 16.2% of output, holds 43.5% of workers.

World Bank · gross value added by sector · share of GDP

% of GDP
0204060%1960197019801990200020102020AgricultureIndustryServicesAgriculture16.2%Industry25.2%Services49.3%%02040601960198020002020AgricultureIndustryServices16.2%16.2%25.2%25.2%49.3%49.3%
AgricultureIndustryServices
About this chart

This World Bank chart shows the long-term evolution of sectoral shares in gross value added. Agriculture (blue) declined from 41.7% in 1960 to 16.2% in 2025. Services (red) rose from 38.8% to 49.3%. Industry (black) inched from 20.8% to 25.2%. The chart shows the output side of the scissors: the economy has shifted decisively toward services, but employment, as seen earlier, remains agrarian. The mismatch means that workers in agriculture produce very little output per person, while the high-output services sector employs relatively few. This is the structural trap that keeps average incomes low.

Why this chart Set output beside employment and the scissors open: services dominate what India produces while farms dominate who works.

How to read it Multi-line: agriculture 16.3%, industry 24.6%, services 49.9%; long-term decline in agriculture share of output.

Watch out These are GVA shares (before taxes/subsidies); not exactly GDP shares.

How does India’s farm employment compare with countries like Vietnam?

India is an outlier in the share of workers on farms. In 2025, 41.6% of Indian employment was in agriculture, according to the World Bank. China brought its share down to 21.7%, Vietnam to 25%, Indonesia to 27.3%, and even Bangladesh to 44.3% (down from 70%). In 1991, all these countries had 60–74% of workers in farming. Vietnam’s dramatic shift, from 74% to 25%, demonstrates that rapid structural change is possible.

India’s pace has been far slower. The chart shows the convergence of peers toward lower levels while India remains near the top with Bangladesh. This is the productivity trap in a single picture.

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Stuck on the land, compared with peers

India had 41.6% of employment in agriculture in 2025, versus Vietnam's 25%, China's 21.7%, and Indonesia's 27.3%.

World Bank (modelled ILO) · employment in agriculture · 1991 to today

% of total employment
020406080%200020102020BangladeshWorldIndonesiaChinaVietnamIndia%020406080200020102020BangladeshWorldIndonesiaChinaVietnamIndia41.6%41.6%21.7%21.7%25.0%25.0%
IndiaChinaVietnamIndonesiaBangladesh, World
India41.6%Indonesia27.3%Vietnam25.0%China21.7%Bangladesh, World
About this chart

This World Bank chart tracks agricultural employment shares from 1991 to 2025. In 1991, India had 63.1% in agriculture, similar to China (59.6%) and Vietnam (74%). But while China and Vietnam pulled workers off farms rapidly, India's decline was much slower. By 2025, China was at 21.7%, Vietnam 25%, Indonesia 27.3%, and Bangladesh 44.3%. India's 41.6% is close to Bangladesh and far above its Asian peers. The chart shows clearly that the structural transformation is happening, but in India it is proceeding at a crawl.

Why this chart China and Vietnam pulled workers off farms far faster than India; the comparison shows the shift is possible.

How to read it Multi-line: India 41.6%, Bangladesh 44.3%, Vietnam 25.0%, China 21.7%; note Vietnam's steep decline.

Watch out World Bank modelled; India's PLFS figure (43.5%) is close.

How has India’s income per person changed over centuries?

The Maddison Project’s long‑run GDP per capita data puts today’s labour market in deep perspective. In 1600, India’s per‑capita income was $1,264 (in 2011 international dollars, comparable across time). It did not rise for the next three and a half centuries; by 1950, at about $990, it was a little lower than in 1600. After Independence, it began rising, accelerating in the 1990s to reach $7,766 in 2022. The chart runs from 1600 to 2022 and shows a hockey stick: flat, even drifting down, for those first three and a half centuries, then a steep climb after Independence.

The labour market we are reading about now is a product of that climb, and also the reason it must continue. Historical estimates carry uncertainty, but the broad shape is reliable.

Chart

The very long view: India's income over the centuries

GDP per capita was about $1,260 in 1600 and drifted no higher for centuries, then rose to $7,766 by 2022 in real 2011 dollars.

Our World in Data · Maddison Project · real GDP per capita

int-$ (2011 prices)
$0$2,000$4,000$6,000$8,00016001700180019002000GDP per capita (Maddison, long run)$843 in 1891$843 in 1891$7,7662022$1,264 in 1600$1,264 in 1600$0$2,000$4,000$6,000$8,000160018002000GDP per capita (Maddison, long run)843 in 1891843 in 18917,76620221,264 in 16001,264 in 1600
About this chart

This chart from the Maddison Project traces India's GDP per capita from 1600 to 2022. For most of history, the line is broadly flat, between about $950 and $1,260 (in 2011 international dollars). By 1950 it was, if anything, slightly lower, around $990. After Independence, the line begins to climb, accelerating sharply after 1991 economic reforms to reach $7,766 in 2022. This long view contextualises today's labour market: the recent growth is unprecedented in India's history, but the starting point was very low. The uncertainties of pre-modern estimates are large, but the overall shape is clear.

Why this chart Today's labour market is one frame in a much longer film, India was a large share of the world economy, then fell far behind, and is now climbing back.

How to read it Line chart of GDP per capita (Maddison) in 2011 int‑$ from 1600 to 2022; flat for centuries then take-off after 1950.

Watch out Early historical data is reconstructed; focus on broad trends.

How much do salaried and self‑employed workers earn?

The average monthly earnings for a regular wage or salaried worker in 2023‑24 were ₹20,702. For a self‑employed person, the figure was ₹13,279. Both have risen from ₹16,527 and ₹12,029 in 2017‑18, but the gap persists. The salaried worker earns more than half again as much as the self‑employed.

But remember, these are gross earnings; the self‑employed figure does not account for business expenses, so actual take‑home is lower. Also, these are averages, many earn far less. The data are from PLFS and are in nominal rupees, so part of the increase simply reflects inflation.

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What a month of work earns, and the gulf between kinds of work

Regular salaried workers earned ₹20,702 per month, self‑employed earned ₹13,279 in 2023‑24.

PLFS · average monthly earnings · 2017-18 to 2023-24

₹ per month
₹0₹10,000₹20,0002017-182018-192019-202020-212021-222022-232023-24Regular wage/salariedSelf-employedRegularwage/salaried₹20,702Self-employed₹13,279₹0₹10,000₹20,0002019-202023-24Regular wage/salariedSelf-employed20,70220,70213,27913,279
Regular wage/salariedSelf-employed
About this chart

This PLFS chart compares average monthly earnings of two groups. The salaried worker line (blue) is always higher, rising from ₹16,527 to ₹20,702. The self‑employed line (black) went from ₹12,029 to ₹13,279. The gap widened. These are gross averages; for the self‑employed, net income could be lower after expenses. The chart shows that the formal, regular wage job pays substantially more, yet only a fifth of workers have such jobs. It also reminds us that these are nominal rupees, so part of the rise is inflation.

Why this chart Pay is where informality bites: the salaried earn far more per month than the self-employed majority.

How to read it Two lines: regular wage ₹20,702, self-employed ₹13,279; gap persists and may widen.

Watch out Nominal ₹; self-employed includes expenses, so net income lower.

Source MoSPI

Have salaried wages really increased after inflation?

No, once you strip out inflation, the story turns upside down. Real earnings for regular wage/salaried workers, deflated by the all-India consumer price index (CPI) to 2012 prices, fell from ₹12,101 in 2017‑18 to ₹11,112 in 2023‑24. So while the nominal pay packet looked bigger, it bought less.

This is one of the most important facts on this page: the formal salaried class, often seen as relatively privileged, has seen a decline in real spending power over the last six years. The chart shows the nominal line rising and the real line falling, crossing over. It suggests that even the best forms of Indian employment are not delivering income growth.

Chart

The salary freeze: pay rose on paper, not in real life

Real earnings for salaried workers fell from ₹12,101 (2012 ₹) in 2017‑18 to ₹11,112 in 2023‑24.

PLFS earnings · nominal vs CPI-deflated (2012 ₹) · 2017-18 to 2023-24

₹/month
₹10,000₹12,000₹14,000₹16,000₹18,000₹20,000₹22,0002017-182018-192019-202020-212021-222022-232023-24NominalReal (2012 ₹)Nominal₹20,702Real (2012 ₹)₹11,112₹10,000₹12,000₹14,000₹16,000₹18,000₹20,000₹22,0002019-202023-24NominalReal (2012 ₹)20,70220,70211,11211,112
NominalReal (2012 ₹)
About this chart

This chart overlays nominal and real earnings for regular wage/salaried workers. The nominal line (blue) rises, but the real line (black), deflated by CPI‑IW to 2012 rupees, falls. In 2023‑24, nominal earnings were ₹20,702, but in real terms they had shrunk from ₹12,101 to ₹11,112 over six years. This means a salaried worker's basket of goods has gotten smaller. It is the most jarring number on the page: even the 'privileged' formal workers have lost ground. The chart shows the nominal-wage illusion: higher numbers on a payslip do not mean higher purchasing power.

Why this chart The single most important thing about Indian pay this decade: once you strip out inflation, salaried earnings have not risen, they have fallen.

How to read it Two lines: nominal wages rising, real wages (2012 ₹) falling from ₹12,101 to ₹11,112.

Watch out Real wages are deflated by MoSPI's CPI (2012=100): CPI-Combined for PLFS earnings, CPI-Rural for rural daily wages. A different deflator gives a slightly different trend.

Source MoSPI

What does a daily‑wage labourer earn?

At the bottom of the ladder, the average daily wage for a casual labourer in 2023‑24 was ₹418, up from ₹256 in 2017‑18. That ₹418 is for a full day of manual work. There is no monthly guarantee, no provident fund, no medical leave. A significant part of that rise is inflation; the real increase is more modest. The chart is a single line rising from left to right, but the slope is not as steep in real terms. This daily rate is the floor beneath which millions must support a family.

Chart

The casual daily wage

The average daily wage for a casual labourer rose from ₹256 to ₹418 over seven years.

PLFS · average daily earnings, casual labour · ₹ per day

₹/day
₹/day2503003504004502017-182019-202021-222023-24Average daily wage — casual labour4182023-24256 in 2017-18256 in 2017-18₹/day2503003504004502017-182019-202021-222023-24Average daily wage — casual labour4184182023-242023-24
About this chart

This single PLFS line shows the nominal daily earnings of casual workers. It climbs from ₹256 in 2017‑18 to ₹418 in 2023‑24. That ₹418 is for a full day of unskilled, often back-breaking work. There is no monthly salary, no leave, no pension. In real terms, the increase is much smaller. The chart is a reminder that for about one in five workers, livelihood is counted in daily increments, not monthly, and that the floor remains very low.

Why this chart At the bottom of the ladder, work is paid by the day, and that daily rate sets the floor for hundreds of millions.

How to read it Single line: casual daily wage rising from ₹256 to ₹418 over 7 years.

Watch out Again, nominal; real increase is smaller.

Source MoSPI

How have rural wages changed over the long term?

The blended rural wage series from IndiaDataHub shows nominal daily earnings for men rising from ₹72 in 1998 to ₹454 in June 2025. For women, the data starts in 2013 at ₹163 and reaches ₹322 in mid‑2025. Men’s wages have always been higher. In nominal terms, the trend is clearly upward.

But the gender gap in pay has not closed; women earn about 70% of male wages. These are nominal figures, so a part of the rise is just general price increases. The chart covers nearly three decades and reveals both slow progress and enduring inequality.

Chart

Rural wages since the 1990s

Rural men earned ₹454/day in June 2025, women ₹322/day, a persistent gender gap.

IndiaDataHub · daily average rural wage rate (blended series)

0100200300400500200020052010201520202025MenWomenMen454Women3220100200300400500200020102020MenWomen454454322322
MenWomen
About this chart

This IndiaDataHub chart shows the blended rural wage series in nominal rupees. Men's wages (blue) started at ₹72 in 1998 and reached ₹454 by mid‑2025. Women's wages (black) began at ₹163 in 2013 and reached ₹322. The gap is stubborn: women earn about 70% of men's wages. Both lines slope upward, but the rise partly reflects general price increases. The chart covers nearly three decades of rural labour, showing that while cash in hand has grown, the gender differential in pay has barely changed.

Why this chart Rural wages set the living standard for most Indian workers and reveal a persistent gender gap.

How to read it Two lines: men ₹454, women ₹322; men's wages always higher, gap in nominal terms.

Watch out These are nominal blended series; the gender gap in real terms may differ.

What happens to rural wages when you account for rising prices?

To see the real purchasing power of rural wages, we deflate them by the CPI‑Rural to 2012 rupees. In June 2025, real daily wages were ₹232 for men and ₹164.70 for women. For men, this is a modest improvement from ₹184.50 in early 2011. For women, real wages have barely moved from ₹138.70 in late 2013. The lines are nearly flat over the last decade, especially for women. So while the nominal headline suggests rising prosperity, the real picture is stagnation, particularly for women workers, who are already at the bottom of the wage structure.

Chart

Rural wages, once you strip out inflation

Real rural wages in 2012 rupees were ₹232 for men and ₹165 for women, showing stagnation.

IndiaDataHub rural wage deflated by MOSPI CPI-Rural (2012=100)

₹/day (2012 prices)
₹/day (2012 prices)120140160180200220240201520202025Men (real)Women (real)Men (real)232Women (real)165₹/day (2012 prices)120140160180200220240201520202025Men (real)Women (real)232232165165
Men (real)Women (real)
About this chart

This chart deflates the rural wage series by CPI‑Rural to 2012 prices. Men's real wages (blue) moved from ₹184.50 in early 2011 to ₹232 in 2025, a modest gain. Women's real wages (black) barely budged: from ₹138.70 in late 2013 to ₹164.70. The lines are nearly flat, especially for women, confirming that the apparent rise in nominal wages was largely eaten up by inflation. This chart is the reality check: for rural workers, real purchasing power has improved only marginally over a decade.

Why this chart The same deflation applied to rural wages shows how much of the headline rise is real gain versus just keeping up with prices.

How to read it Two lines of real wages (2012 ₹): men ₹232, women ₹164.7; modest rise over the years, especially for men.

Watch out CPI-Rural deflator may not match actual consumption baskets of rural workers.

How productive is the average Indian worker compared to peers?

Productivity, measured as GDP per person employed in constant 2021 PPP dollars, was $24,430 for India in 2024. China’s was $45,842, Vietnam’s $26,091, Indonesia’s $29,217, and Bangladesh’s $20,763. The world average is $49,692. India’s productivity has more than tripled since 1991, but it remains lower than China and Vietnam, and well below the global average.

This gap reflects the continued dominance of agriculture, where output per worker is low. The chart lines diverge: India’s rises, but China’s rises faster. Productivity growth is what ultimately lifts wages and living standards, and this metric shows how far India has to go.

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How much each worker produces, and how far behind

GDP per worker in India is $24,430, far below China's $45,842 and Vietnam's $26,091 (constant PPP).

World Bank · GDP per person employed · 1991 to today

constant PPP $ per worker
$0$10,000$20,000$30,000$40,000$50,000199520002005201020152020IndiaChinaVietnamBangladeshIndonesiaWorldIndia$24,430China$45,842Vietnam$26,091Bangladesh$20,763Indonesia$29,217World$49,692$0$10,000$20,000$30,000$40,000$50,000200020102020IndiaChinaVietnamBangladeshIndonesiaWorld24,43024,430
IndiaChinaVietnamBangladeshIndonesiaWorld
About this chart

This World Bank chart compares labour productivity across countries. India's line (blue) rose from $6,601 in 1991 to $24,430 in 2024. China's (black) shot up to $45,842, and Vietnam's (red) to $26,091. Bangladesh (green) is at $20,763. The world average is $49,692. India's productivity gain is real but insufficient to close the gap. Low productivity is the root of low wages. The agricultural overhang, where many workers produce little, keeps the average low. The chart shows that India is not yet on a path to match the productivity growth of East Asian economies.

Why this chart Wages can only rise sustainably if output per worker rises; this is where the farm-overhang shows up as a number.

How to read it Multi-line: India $24,430, China $45,842, Vietnam $26,091; India's productivity increased but remains below peers.

Watch out Productivity is output per employed person, not per hour; hours worked differ across countries.

Does having a job mean you are not poor?

Not necessarily. The working poverty rate, the share of employed people living below US$3.65 a day (2017 PPP), tells a different story. In India in 2025, it was 3.6%, down from 44.2% in 2000. Among young workers (15–24), the rate was 8.3% (latest 2023).

This dramatic fall is a genuine achievement. But it is also a reminder that earlier, nearly half of employed Indians were in extreme working poverty. Even now, millions who are ‘working’ still live on very little. The chart shows the two lines (all workers and youth) plummeting. It’s a reminder that employment alone does not guarantee a dignified income.

Chart

Having a job is not the same as escaping poverty

Only 3.6% of employed workers live below $3.65/day PPP in 2025, down sharply from 44.2% in 2000.

ILOSTAT (SDG 1.1.1) · employed living below US$3.65/day PPP

% of employed
01020304050%200020052010201520202025All workersYoung workers (15–24)All workers3.6%Young workers (15–24)8.3%%01020304050200020102020All workersYoung workers (15–24)3.6%3.6%8.3%8.3%
All workersYoung workers (15–24)
About this chart

This ILO chart tracks working poverty. The line for all workers (blue) dropped from 44.2% to 3.6% over 25 years. Youth working poverty (black) went from 46.5% to 8.3% (latest 2023). This is a remarkable decline, showing that even low-quality employment has lifted many above extreme poverty. However, $3.65/day is a very frugal line; many workers above it still live precariously. The chart is a glass half-full: employment growth has reduced destitution, but the quality of work still leaves millions vulnerable.

Why this chart Low unemployment hides a different problem: many Indians who do work are still poor. Working poverty is the missing half of the jobs story.

How to read it Two lines: all workers 3.6%, youth 8.3%; dramatic decline from 44% in 2000.

Watch out Poverty line is $3.65/day PPP 2017; higher than India's national line.

Why are the graduates the ones without jobs?

Because in India, being unemployed is something you have to be able to afford. The PLFS shows that in 2023‑24, the unemployment rate for graduates was 13%, while for those who are not literate it was just 0.2%. The rates climb with education: higher secondary (4.4%), diploma (8.6%), postgraduate (12.4%).

This looks backwards unless you understand what the unemployment rate measures, it counts only those actively looking for work. The least educated cannot wait; they take whatever work is available. A graduate from a family with some resources can hold out for a job that matches her qualification, and in an economy that generates very few such formal posts, she waits. So the graduate unemployment rate is a signal of aspiration mismatch, not that education is useless.

Chart

The paradox: the more educated you are, the more likely you are jobless

Graduate unemployment was 13%, postgraduate 12.4%, while for the not literate it was 0.2%.

PLFS · unemployment rate by education, 15+ · latest survey year

% unemployed (latest)
% unemployed (latest)Not literate0.2%Up to primary0.6%Middle1.6%Secondary1.9%Higher secondary4.4%Diploma8.6%Graduate13.0%Postgraduate+12.4%% unemployed (latest)Not literate0.2%Up to primary0.6%Middle1.6%Secondary1.9%Higher secondary4.4%Diploma8.6%Graduate13.0%Postgraduate+12.4%
About this chart

This PLFS bar chart arrays unemployment rates by education level. The bars form an upward staircase: not literate 0.2%, primary 0.6%, middle 1.6%, secondary 1.9%, higher secondary 4.4%, diploma 8.6%, graduate 13%, postgraduate 12.4%. This is not because education is useless. It is because the educated can afford to wait for a suitable job, while the uneducated take whatever is available. The economy does not produce enough formal, high-skill jobs for its graduates. The chart is the single most powerful visual for explaining why India can have a low overall unemployment rate and a gritty jobs crisis simultaneously.

Why this chart This single chart explains why low headline unemployment and a real jobs crisis are both true at once.

How to read it Bar chart: not literate 0.2%, graduate 13%, postgraduate 12.4%; upward slope.

Watch out Causality is not proven; higher education may correlate with ability to wait for better jobs.

Source MoSPI

How bad is youth unemployment?

The overall unemployment rate of 3.2% hides a severe youth crisis. For those aged 15–29, the unemployment rate in 2023‑24 was 10.2%, more than three times the all‑ages rate. Both rates have declined from their peaks in 2017‑18 (17.8% for youth, 6% overall), but the gap remains wide. Every year, millions of young people enter the labour market; many cannot find work. The chart shows two lines, one consistently high, one low.

The youth line is particularly worrying because long spells of joblessness early in a career can permanently lower lifetime earnings and skills. This is where the demographic dividend threatens to turn into a demographic time bomb.

Chart

It is the young who can't find work

Youth unemployment (15–29) was 10.2% in 2023‑24, more than three times the overall 3.2%.

PLFS · unemployment rate, all ages vs 15-29 · 2017-18 to 2023-24

%
05101520%2017-182018-192019-202020-212021-222022-232023-24All workers (15+)Youth (15-29)All workers (15+)3.2%Youth (15-29)10.2%%051015202017-182019-202021-222023-24All workers (15+)Youth (15-29)3.2%3.2%10.2%10.2%
All workers (15+)Youth (15-29)
About this chart

This PLFS chart compares the youth unemployment rate with the all-ages rate. Youth (black line) stands at 10.2%, down from 17.8% in 2017‑18. The all-ages rate (blue) is 3.2%, down from 6%. Both fell, but the gap remains wide. Young entrants face the toughest job market, and long spells of unemployment early in a career can scar lifetime earnings. The chart reveals that the headline rate conceals a generation‑specific crisis that, if not addressed, could turn the demographic dividend into a demographic drain.

Why this chart The overall jobless rate hides the crisis: among the young entering the labour market, unemployment is several times higher.

How to read it Two lines: youth (15-29) 10.2%, overall 3.2%; both declined but gap remains.

Watch out Youth defined as 15-29 in PLFS; World Bank uses 15-24.

Source MoSPI

How does India’s youth joblessness compare globally?

The World Bank’s estimate for youth unemployment (age 15–24) in 2025 is 16% for India. China is at 15.8%, Indonesia 13%, Bangladesh 9.4%, Vietnam 6.2%, and the world average is 13.4%. India is near the high end of this group. The PLFS data (for a different age range) gives a lower number, but the comparative picture is consistent: youth unemployment in India is high relative to peers at similar income levels. What makes it more alarming is the absolute number of young people. Even if the rate were lower, India has more unemployed youth than any other country simply because of its population size.

Chart

Young and jobless, in context

India's youth unemployment (15–24) is 16%, higher than the world average (13.4%) and Vietnam's 6.2%.

World Bank (modelled ILO) · youth unemployment (15-24) · 1991 to today

% of youth labour force
0102030%200020102020IndiaChinaBangladeshVietnamIndonesiaWorld%0102030200020102020IndiaChinaBangladeshVietnamIndonesiaWorld16%16%
IndiaChinaBangladeshVietnamIndonesiaWorld
India16.0%China15.8%World13.4%Indonesia13.0%Bangladesh9.4%Vietnam6.2%
About this chart

This World Bank chart compares youth unemployment rates. India (black) is 16%, higher than the world's 13.4%. China is 15.8%, Indonesia 13%, Bangladesh 9.4%, and Vietnam only 6.2%. The lines have converged somewhat over time, but India remains near the top. The age group differs from PLFS (15‑24 vs 15‑29), which is why the number is higher. The chart underscores that having a large youth cohort is a challenge many countries face, but India’s rate is elevated even by developing‑country standards.

Why this chart Youth joblessness is high across South and Southeast Asia, but India's is severe given how many young people it has.

How to read it Multi-line: India 16.0%, World 13.4%; Vietnam 6.2% is lowest.

Watch out World Bank uses 15-24; PLFS youth are 15-29, so numbers differ.

Does unemployment differ by caste?

In the latest PLFS (2023‑24), the unemployment rate was 3.8% for ‘Others’, 3.3% for Scheduled Castes, 3.1% for Other Backward Classes, and 1.9% for Scheduled Tribes. The pattern is not as simple as a straight hierarchical gradient. The relatively lower unemployment among STs may reflect rural self‑employment and less ability to remain jobless, similar to the education paradox. For SCs and OBCs, the rates are slightly below the ‘Others’ category, but this may mask differences in the kinds of work (more casual labour) rather than genuine labour market equality. The bar chart shows these differences plainly.

Chart

Unemployment by social group

Unemployment rates: Others 3.8%, SC 3.3%, OBC 3.1%, ST 1.9%, not a simple caste gradient.

PLFS · unemployment rate by social category, 15+ · latest survey year

% unemployed (latest)
% unemployed (latest)Scheduled Tribe1.9%Scheduled Caste3.3%OBC3.1%Others3.8%% unemployed (latest)Scheduled Tribe1.9%Scheduled Caste3.3%OBC3.1%Others3.8%
About this chart

This PLFS bar chart shows unemployment by social category in 2023‑24. The 'Others' category has the highest rate at 3.8%, followed by SC (3.3%), OBC (3.1%), and ST (1.9%). The pattern is counter‑intuitive: the more privileged social groups appear to have higher joblessness. But this likely reflects the same ability‑to‑wait dynamic seen with education. ST workers, often in remote rural areas, take any available work; Others have more means to search. The chart complicates the simple narrative of caste and labour markets.

Why this chart Who is unemployed also tracks social position, in ways that complicate the simple education story.

How to read it Bar chart: Others 3.8%, SC 3.3%, OBC 3.1%, ST 1.9%; not a simple gradient.

Watch out Education level overlap with social group may explain part of the pattern.

Source MoSPI

What is the latest monthly unemployment rate?

India now publishes a monthly unemployment rate from the PLFS, based on the Current Weekly Status (CWS). In June 2026, it stood at 5.5%. The series started in April 2025 and has fluctuated between 5% and 6%. Because it uses CWS, these rates are higher than the usual annual Usual Status figures. A person who was employed or looking for work during any part of the week is counted, so the measure catches more unemployment.

The monthly data gives a near‑real‑time pulse of the labour market, something previously impossible. The chart is a short, up‑and‑down line that will become one of India’s most watched economic indicators.

Chart

Unemployment, now month by month

The monthly PLFS unemployment rate (CWS) stood at 5.5% in June 2026.

IndiaDataHub · monthly PLFS unemployment rate · 2025 onward

%
4.64.855.25.45.6%Jul 25Jan 26Unemployment rate, all-India (monthly PLFS)4.7% in Nov 20254.7% in Nov 20255.5%Jun 20265.1% in Apr 20255.1% in Apr 2025%4.64.855.25.45.6Jul 25Jan 26Unemployment rate, all-India (monthly PLFS)4.7% in Nov 20254.7% in Nov 20255.5%Jun 2026
About this chart

This line chart from IndiaDataHub shows the newly released monthly unemployment rate based on Current Weekly Status. The series starts in April 2025 and has fluctuated between 5% and 6%, with the latest reading at 5.5% in June 2026. This is a different measure from the usual annual US; CWS catches more transitory unemployment and thus gives higher rates. The monthly data is a breakthrough, providing a near‑real‑time indicator of labour market health. The short, wavy line will be watched closely by policymakers and analysts.

Why this chart From 2025 India finally publishes monthly labour data, turning an annual snapshot into something closer to a live feed.

How to read it Line chart: monthly UR fluctuating around 5-6% range; latest 5.2% (April 2026).

Watch out Monthly series uses CWS, so rates are higher than usual status annual figures.

How does MGNREGA act as a safety net?

The chart of persons demanding work under is a seismograph of rural distress. In June 2026, 29.3 million people sought work under the scheme. Demand is seasonal, it spikes in dry months when agricultural work vanishes, but also responds to economic shocks. The number has trended upward over the years, with big jumps during the pandemic and other downturns. MGNREGA is not a path to prosperity; it is a floor, a guarantee of 100 days of manual work per household at government‑set wages.

When private construction or farming employment falls, the line rises. It is India’s most important labour market shock absorber.

Chart

When private work runs out, India falls back on a guarantee

In May 2026, 27.4 million persons demanded work under MGNREGA, a distress signal.

IndiaDataHub · persons demanding work under MGNREGA · monthly

persons
0204060 million2014201620182020202220242026Persons demanding work under MGNREGA63.5 million in Jun 202063.5 million in Jun 202029.3 millionJun 2026million0204060201520202025Persons demanding work under MGNREGA63.5 in Jun 202063.5 in Jun 202029.3Jun 2026
About this chart

This line chart from IndiaDataHub shows monthly MGNREGA demand from 2013 to 2026. The line spikes during dry seasons and economic shocks. The latest figure is 29.3 million persons demanding work in June 2026. This high level of demand indicates that the private rural labour market is not absorbing workers. MGNREGA acts as a shock absorber; when the line rises, it signals that alternative employment is scarce. The chart is a direct proxy for rural distress and the limitations of the labour market in providing year‑round work.

Why this chart The rural job-guarantee scheme is the shock absorber of India's labour market: demand for it spikes exactly when other work disappears.

How to read it Line chart of persons demanding work per month; seasonal spikes; latest 27.4 million.

Watch out Administrative data; demand may exceed actual work provided.

How many days of work does MGNREGA actually provide?

The person‑days of work created under MGNREGA totalled 245.2 million in June 2026. The number of active workers was 133.9 million in the same month. These two lines move together, but the ratio tells you how much work each active worker actually gets, far less than the promised 100 days on average. The chart shows the scale of the programme, which is the largest public employment scheme in the world, but also its limits. When demand surges, the supply of work does not always keep up. The mismatch between persons demanding and days created is a gauge of unmet need.

Chart

The rural safety valve, in days of work

MGNREGA created 245.2 million person‑days of work in June 2026, with 133.9 million active workers.

IndiaDataHub · MGNREGA · monthly

0200400600 million201520202025Person-days of work createdActive workersPerson-days ofwork created245.2 millionActive workers133.9 millionmillion0200400600201520202025Person-days of work createdActive workers245.2245.2133.9133.9
Person-days of work createdActive workers
About this chart

This chart pairs two MGNREGA series: person‑days of work created (blue) and active workers (black). In June 2026, person‑days were 245.2 million, and active workers stood at 133.9 million. The gap between the plates shows that the average worker gets far fewer than the promised 100 days. The person‑days line is highly seasonal, peaking in the summer months. The active worker count is a measure of the programme's footprint. Together, they show both the immense scale of the safety net and its inability to fully meet demand.

Why this chart Behind the demand figure sits the actual work delivered, days of employment created when nothing else is available.

How to read it Two lines: person-days created (109.9 million in April 2026) and active workers (133.3 million).

Watch out Person-days include multiple days per worker; not distinct workers.

Tell me what this means, bro

Abey, but what does this actually mean for us?

The numbers show a clear picture: India has 61.8 crore people ready to work, and most of them do show up. But the work they get is not a stable job with a payslip; it’s a firecracker shop, a chai stall, a day of labour. Women are still mostly not counted as workers, even when they work. The headline jobless number is low because nobody can afford to sit idle. But if you are a graduate, the wait can be long. The safety net is MGNREGA, a rural guarantee that spikes when private work dries up. So what to remember: India works, but it works on its own terms, and those terms are uncertain, informal, and unequal.

The biggest jobs challenge is not unemployment but the quality of work.

Plain English concepts

Labour Force Participation Rate (LFPR)

Imagine 100 adults standing in a ground. The LFPR tells you how many of them are either working or actively asking around for a job. It does not count those who are studying, doing housework, or too discouraged to search. So a low LFPR means many of your village or town are not even in the game.

LFPR is the master dial of how India works; a low LFPR means a huge share of working‑age people are neither working nor seeking work.

Worker Population Ratio (WPR)

Like LFPR, but it counts only those who actually have work. If LFPR is the number of players on the field, WPR is the number of players currently holding a job. The difference between the two is the players still warming up and looking for a team.

WPR tells you the real absorption of workers, and the gap between LFPR and WPR is the unemployment pool.

Unemployment Rate (UR)

This does not count every unemployed person in the country. It counts only those who want work and are actively looking, out of the entire labour force. If you are too discouraged to search, you are not in this number. In a poor country, a low UR often means people cannot afford to wait; they take any work.

India's low headline UR (3.2%) hides the fact that many ‘employed’ persons are in low‑quality, subsistence work.

Vulnerable Employment

This is the ILO's name for people who work for themselves or for the family without a regular wage, contract, or safety net. Think of a farmer on his own land, a street vendor, or a family member helping out without pay. They have no one to give them a notice period or provident fund. If the work stops, their income stops.

Over 70% of Indian workers are in vulnerable employment, explaining why a ‘job’ often does not mean a payslip.

Informal Employment Rate

A job is informal if it has no written contract, no provident fund, no health insurance, and is not registered with the government. The ILO measures this by asking if the job has social security. So even if you work in a nice office but are hired on a temporary basis with no benefits, your job might be informal.

At 87%, it quantifies the scale of India’s informal economy, far higher than peers like Vietnam.

NEET (Not in Employment, Education, or Training)

This category counts young people who are truly disengaged, not studying, not in some skill course, not working, and not even looking for work. It is more worrying than unemployment because it means they are out of the system entirely. A high NEET rate among young women suggests early family responsibilities or lack of acceptable work.

A 39.7% female NEET rate exposes the depth of women’s exclusion from meaningful activity.

Structural Transformation

It is the name for the journey of workers from farm to factory to office that happened in all rich countries. As an economy develops, people leave low‑paying, unsteady farm work for regular jobs in industries and services. If this shift stalls, too many people remain in farming, growing little output for a lot of labour, and incomes stay low.

India’s workers are stuck on the farm (43.5%) while output is in services (49.9% of GDP), creating a productivity trap.

MGNREGA

The Mahatma Gandhi National Rural Employment Guarantee Act. It is a law that says any rural household can demand up to 100 days of unskilled manual work from the government at a fixed wage. It was designed as a safety net for the poorest. When private jobs dry up, like during a drought or a recession, people queue up at NREGA worksites.

Spikes in MGNREGA demand signal distress in the rural private labour market; it is the ‘canary in the coal mine’ for rural employment.

Bhuvanesh. “How does India work?” This Indian Life, October 2026. https://thisindianlife.today/articles/how-does-india-work/

BibTeX
@misc{tilife-howdoesindiawork,
  author    = {Bhuvanesh},
  title     = {How does India work?},
  year      = {2026},
  publisher = {This Indian Life},
  url       = {https://thisindianlife.today/articles/how-does-india-work/}
}
APA

Bhuvanesh. (2026). How does India work? This Indian Life. https://thisindianlife.today/articles/how-does-india-work/

Keep reading

Who works in India? -> Does India really have the biggest jobs challenge in the world? -> How literate is India? -> How many years of schooling do Indians get? ->

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Published 4 Jun 2026 Updated 19 Oct 2026
  1. 4 Jun 2026 First published. diff
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