Economy

Poverty Lines, Unemployment Types, and the PLFS: What India's Labour Data Actually Measures

Why the Rangarajan Committee's higher poverty line was never adopted, how India's five unemployment types and PLFS's own measurement approaches differ, and why the headline unemployment rate looks low despite widespread underemployment.

16 min readRamesh Singh, Indian Economy · Poverty, Unemployment & Labour

This chapter has produced exactly 6 real Prelims questions so far (2018 to 2022), spread almost evenly across poverty line methodology, labour law reform, child labour conventions, and the institutions that compile labour data. It also sits underneath one of the more uncomfortable facts in Indian economic policy: the country has no agreed, official consumption-based poverty line, because the last committee to seriously revise one, the Rangarajan Committee, was never formally adopted, over a decade after it reported. Meanwhile India's headline unemployment rate, by the government's own current survey, sits close to full employment even though everyone agrees a large share of the workforce is underemployed. Neither is a contradiction to wave away; both are precise, testable facts about how India measures poverty and joblessness, and this note works through the methodology carefully enough that the traps become visible before an exam puts them in front of you.

This chapter's material overlaps with NCERT Class 12, Indian Economic Development, Chapter 4 (Poverty) and Chapter 7 (Employment, Growth, Informalisation and Other Issues). This note goes further than those chapters' coverage.

Poverty line estimation: three committees, three different baskets

India's official poverty counts began in 1979, when the Y.K. Alagh Committee set the first national rural and urban poverty lines. The D.T. Lakdawala Committee (1993) extended these to the states and put them on a regular, comparable footing, but it did not change the underlying logic: Lakdawala's poverty line baskets were calorie-anchored, built around a norm of 2,400 kilocalories per person per day in rural areas and 2,100 in urban areas, based on consumption patterns observed in the 1973-74 survey, and adjusted over time and across states using the Consumer Price Index for Agricultural Labourers (rural) and the Consumer Price Index for Industrial Workers (urban).

By the mid-2000s this had become a genuine problem. The Planning Commission appointed an expert group under Suresh Tendulkar in December 2005, reporting in 2009, which identified three deficiencies in the Lakdawala approach: the basket was still tied to 1973-74 spending patterns, more than three decades stale; the rural price index understated real inflation, so rural poverty was undercounted; and the calorie norm assumed health and education would mostly be government-provided, an assumption private spending data had outgrown.

The Tendulkar Committee's fix is the single most exam-relevant methodological shift in this chapter, and it is often stated imprecisely: it did not simply raise the old calorie norm, it moved away from an explicit calorie anchor altogether. It anchored the new national urban poverty line to reproduce the urban poverty ratio of 25.7% that the 2004-05 survey had already produced, now expressed using the newer mixed reference period (MRP) consumption data, then applied that same basket, via price adjustment, as the rural line too, so rural and urban lines finally shared one conceptually aligned basket instead of two independent ones. Crucially, it did not abandon nutrition as a check: in its own words, quoted directly from its 2009 report, "even while moving away from the calorie norms, the proposed poverty lines have been validated by checking the adequacy of actual private expenditure per capita near the poverty lines on food, education, and health," something the "earlier calorie-anchored poverty lines did not explicitly account for." This is the precise trap UPSC sets: Tendulkar did not use a calorie count to set the poverty line, it used one, plus health and education spending, to validate a line derived from actual observed consumption.

The effect was large. Under Lakdawala, rural poverty in 2004-05 measured 28.3%; recomputed under the Tendulkar basket and MRP expenditure, the same year's rural poverty ratio jumped to 41.8%, since the rural line was now realigned to the higher, MRP-based urban line. For 2011-12, the Tendulkar lines worked out to roughly ₹816 per capita per month in rural India and ₹1,000 in urban India, producing an overall poverty ratio of 21.9% (rural 25.4%, urban 13.7%).

Continued criticism that even this line was too low led the Planning Commission to appoint a further expert group under C. Rangarajan in June 2012, reporting in June 2014. Rangarajan's methodology differed again: rather than validating an observed-expenditure basket against a target ratio, it returned to explicit normative requirements, combining a calculated nutrition norm (ICMR-based calorie, protein and fat requirements, working out to 2,155 kcal per day rural and 2,090 kcal urban) with normative non-food essentials, clothing, rent, conveyance, education, plus a behaviourally observed level of other spending. This produced meaningfully higher lines, roughly ₹972 rural and ₹1,407 urban per capita per month at 2011-12 prices, and a higher overall poverty ratio of 29.5% (rural 30.9%, urban 26.4%) for the same year Tendulkar measured at 21.9%.

Here is the fact worth holding onto precisely, because it is exactly the kind of thing a question can test as a standalone item: the government never formally adopted the Rangarajan Committee's recommendations. NITI Aayog's own Task Force on the Elimination of Poverty, set up in 2015, stated it plainly: "Decision is yet to be taken on the Rangarajan Committee recommendations. Therefore, the Tendulkar poverty line remains the official poverty line." That remains the position today; India has not released a revised official consumption-based poverty line since. The practical policy conversation has since shifted toward NITI Aayog's National Multidimensional Poverty Index (MPI), a non-monetary measure built on health, education and living-standard indicators, precisely because agreeing on a single revised rupee-denominated poverty line has proved politically difficult twice in a row.

Five types of unemployment, and India's own example for each

UPSC tests these definitions precisely, and it tests them against concrete Indian examples, so learn both together rather than the definitions alone.

  • Disguised unemployment: more people are engaged in an activity than are actually needed to produce the same output, so removing some workers would not reduce total output at all; their marginal productivity is effectively zero. Indian agriculture is the standard, most heavily tested example: a family farm might genuinely need two workers but employs five, because agriculture is also the default fallback occupation in the absence of enough non-farm jobs. This is also why sectoral employment and GVA shares diverge so sharply (agriculture holds roughly 46% of the workforce against under 18% of GVA); a large share of that 46% is disguised unemployment, not fully productive labour.
  • Seasonal unemployment: joblessness that recurs predictably at certain times of year because the activity itself is seasonal. Agricultural labourers idle between sowing and harvesting, and workers in seasonal industries like sugar milling, are the standard examples.
  • Structural unemployment: a mismatch between the skills the workforce has and what the economy's jobs require, usually because the economy's structure has shifted. India's manufacturing employment share has actually fallen, from 12.1% to 11.4% between 2017-18 and 2023-24 even as output grew, partly reflecting this: capital-intensive modernisation demands skills much of the existing workforce lacks.
  • Frictional unemployment: short-term joblessness that occurs simply because it takes time to search for, apply to, and move into a new job, even where vacancies exist. A graduate still interviewing after deciding on a career, or a worker between one confirmed job and the next, is frictionally unemployed; it never fully disappears even at "full employment."
  • Cyclical unemployment: unemployment that rises and falls with the business cycle, worsening in a slowdown as aggregate demand falls and firms cut jobs. India's urban unemployment spike during the 2020 COVID-19 lockdown is the standard recent example.

LFPR, WPR and UR: the three PLFS numbers, precisely defined

The Periodic Labour Force Survey (PLFS), conducted by the National Sample Survey Office (NSSO, now under the National Statistical Office, NSO) under MoSPI, has been India's principal source of employment and unemployment data since it launched in April 2017, replacing the older quinquennial (five-yearly) NSSO Employment-Unemployment Surveys with something released far more frequently: quarterly urban indicators plus a full annual report covering both rural and urban India.

MoSPI's own PLFS press notes define the three headline indicators as follows, and the wording matters because each measures something different:

  • Labour Force Participation Rate (LFPR): the percentage of persons in the labour force (working, or seeking, or available for work) in the population. It answers: how many people are even offering their labour to the market, whether employed or not?
  • Worker Population Ratio (WPR): the percentage of employed persons in the population. It answers: how many people in the whole population are actually working?
  • Unemployment Rate (UR): the percentage of persons unemployed among persons in the labour force, not among the whole population. It answers: of those actively offering their labour, how many aren't finding work?

The relationship between them is arithmetic, not incidental: WPR is always LFPR minus the unemployed share of the labour force, so a rising LFPR with a flat WPR necessarily means UR is rising too, more people are entering the labour force than the economy is absorbing.

For July 2023 to June 2024 (PLFS's most recent full Annual Report), MoSPI's own figures under the Usual Status approach, for persons aged 15 and above, all-India, were: LFPR 60.1% (male 78.8%, female 41.7%), WPR 58.2% (male 76.3%, female 40.3%), and UR 3.2% (male and female both 3.2%). All three have moved steadily since PLFS began: LFPR has risen from 49.8% in 2017-18 to 60.1% in 2023-24, driven overwhelmingly by a near-doubling of female LFPR (23.3% to 41.7%), and UR has fallen from 6.0% to 3.2% over the same period, though 2023-24 was the first year since PLFS began that the unemployment rate did not continue its year-on-year decline.

Usual Status versus Current Weekly Status: why the same reality gives two different UR figures

This is the genuine methodological subtlety UPSC has tested, and it is worth understanding rather than memorising, because the two approaches are asking different questions of the same person.

Usual Status (ps+ss) looks back over the 365 days preceding the survey and asks what a person's dominant activity was over that whole year. Principal activity status (ps) is whatever activity a person spent the major part of that year doing; subsidiary economic activity status (ss) additionally counts anyone who did any economic activity for 30 days or more during that year, even if it wasn't their main activity. This combined ps+ss measure smooths out short-term gaps: a farm labourer with intermittent work across the year, who worked at all for 30+ days, still counts as employed under Usual Status even if a snapshot on any given week might have found them idle.

Current Weekly Status (CWS) instead looks back over just the 7 days preceding the survey and classifies a person by their activity in that one week, a much stricter, more instantaneous lens that catches whoever happens to be between jobs, in the off-season of seasonal work, or simply idle that particular week, regardless of how their year looks on average.

Because Usual Status smooths over a full year while CWS is a snapshot, the same underlying labour market produces two different unemployment rates depending purely on which reference period is applied. For 2023-24, all-India UR was 3.2% under Usual Status but 4.9% under CWS, nearly a percentage and a half higher, precisely because CWS catches transient, intermittent and seasonal joblessness that the 365-day Usual Status lens smooths into "employed via subsidiary status." Worth being precise about one more thing: MoSPI's own PLFS press notes define the survey's twofold objective entirely in terms of Usual Status and CWS; a third approach from the older pre-2017 quinquennial NSSO surveys, Current Daily Status (each of the seven preceding days classified separately, in half-day units, typically giving the highest unemployment reading of all), is not part of PLFS's own current reporting framework. If a question asks what PLFS itself reports, the answer is Usual Status and CWS; CDS is an older NSSO concept, not one of PLFS's own two pillars.

The four Labour Codes: consolidation on paper, staggered in practice

India's labour law reform consolidated 29 central labour Acts into four Labour Codes, cutting 1,228 sections down to 480 and 181 forms down to 73, according to the Ministry of Labour and Employment's own compliance handbook. Each Code absorbed a distinct cluster of older laws:

  • Code on Wages, 2019: subsumes 4 Acts, the Payment of Wages Act (1936), the Minimum Wages Act (1948), the Payment of Bonus Act (1965), and the Equal Remuneration Act (1976).
  • Industrial Relations Code, 2020: subsumes 3 Acts, the Trade Unions Act (1926), the Industrial Employment (Standing Orders) Act (1946), and the Industrial Disputes Act (1947).
  • Occupational Safety, Health and Working Conditions Code, 2020: subsumes 13 Acts, the largest consolidation of the four, including the Factories Act (1948), the Mines Act (1952), the Plantations Labour Act (1951), the Contract Labour (Regulation and Abolition) Act (1970), the Inter-State Migrant Workmen Act (1979), and the Building and Other Construction Workers Act (1996), among others.
  • Code on Social Security, 2020: subsumes 9 Acts, including the Employees' Provident Funds and Miscellaneous Provisions Act (1952), the Employees' State Insurance Act (1948), the Payment of Gratuity Act (1972), and the Maternity Benefit Act (1961), and, for the first time, extends statutory social security coverage to gig and platform workers.

These Codes were passed between 2019 and 2020, but implementation was repeatedly delayed for years while Central and State rules were drafted. Per the Ministry of Labour and Employment's own year-end review, the Government of India brought all four Codes into effect only on 21 November 2025, over five years after the last of them was passed. Even then, detailed Central Rules followed only in May 2026, and several major industrial states had yet to notify their own final state-level rules, so on-the-ground compliance still varies by state even though the Codes are now legally in force nationally. The exam lesson: a reform "passed by Parliament" is not automatically "in force"; this is the standard example of the gap between enactment and implementation.

Child labour and India's selective ILO ratification record

India ratified the two core ILO Conventions on child labour, Convention No. 138 (Minimum Age Convention, 1973) and Convention No. 182 (Worst Forms of Child Labour Convention, 1999), together, on 13 June 2017, setting the minimum age for employment at 14 years. This is worth knowing precisely because it is recent: for decades before 2017, India had not ratified either convention even while its own domestic child labour law existed independently.

With that ratification, India has now ratified 6 of the ILO's 8 core (fundamental) conventions. The two it has still not ratified are Convention No. 87 (Freedom of Association and Protection of the Right to Organise, 1948) and Convention No. 98 (Right to Organise and Collective Bargaining, 1949). This is deliberately selective, not an oversight: per the government's own stated position, ratifying C87 and C98 would require extending rights, to strike, to openly criticise government policy, to freely accept foreign contributions, that current statutory rules governing government servants specifically prohibit. It is a genuine trap: it is easy to assume a country that ratified the child labour conventions has ratified all the "obvious" core labour conventions, and India specifically has not.

Who compiles India's labour and industrial data

Three institutions matter here, and they are not interchangeable. The Labour Bureau, an attached office of the Ministry of Labour and Employment, compiles statistics on industrial disputes, closures, retrenchments and lay-offs across Indian factories, alongside wage and employment indicators, a distinct role from broader national survey work. The NSSO, now under the National Statistical Office (NSO) within MoSPI, actually conducts PLFS fieldwork and the household consumption expenditure surveys poverty estimation depends on. MoSPI is the parent ministry that houses the NSO, sets survey methodology, and releases the PLFS reports cited throughout this chapter.

For Mains (GS3)

India's PLFS-reported unemployment rate of 3.2% for 2023-24 looks close to full employment by international standards, yet almost nobody studying the Indian labour market treats this as evidence of a healthy jobs situation, and the disguised unemployment concept explains exactly why. The Usual Status unemployment rate only counts someone as unemployed if they are actively seeking work and cannot find any; it says nothing about whether the work a person already has is productive, adequately paid, or occupying anywhere near their full working capacity. Roughly 46% of India's workforce remains engaged in agriculture, a sector contributing under a fifth of GVA, which means a very large share of "employed" persons by the PLFS definition are, in substance, disguised-unemployed: their marginal contribution to output is minimal, and removing them from the farm would not meaningfully reduce agricultural production. The same pattern shows up in the gap between Usual Status and Current Weekly Status unemployment (3.2% against 4.9% in 2023-24): a full-year lens smooths over exactly the kind of intermittent, low-productivity, subsistence engagement that a shorter, stricter lens exposes. A low headline unemployment rate in an economy still this agriculture-heavy is not proof of labour market strength; it is often proof that underemployment is being counted as employment because the alternative, no work at all, is not something most low-income Indian households can actually afford to choose. Real absorption of this workforce requires labour-intensive, non-farm job creation at a pace India's recent growth, concentrated in capital- and skill-intensive services and manufacturing, has not yet delivered.

Quick revision points

  • Lakdawala (1993): calorie-anchored (2,400 kcal rural, 2,100 kcal urban), separate rural/urban baskets tied to 1973-74 consumption patterns.
  • Tendulkar (2009): moved away from an explicit calorie anchor; anchored the urban line to the already-accepted 2004-05 urban poverty ratio (25.7%) under MRP expenditure, then applied that same basket to derive the rural line; validated (not defined) using food, health and education expenditure adequacy. 2011-12 lines: ≈₹816 rural, ₹1,000 urban; poverty ratio 21.9%.
  • Rangarajan (2014): normative ICMR-based nutrition (2,155 kcal rural, 2,090 kcal urban) plus normative non-food essentials. 2011-12 lines: ₹972 rural, ₹1,407 urban; poverty ratio 29.5%. Never formally adopted; Tendulkar remains the official poverty line to date.
  • Five unemployment types: disguised (Indian agriculture, near-zero marginal productivity), seasonal (farm labour between crop cycles), structural (skills mismatch, falling manufacturing employment share despite output growth), frictional (time spent job-searching even at full employment), cyclical (moves with the business cycle, e.g. the 2020 lockdown spike).
  • LFPR = labour force ÷ population; WPR = employed ÷ population; UR = unemployed ÷ labour force (not population). 2023-24 Usual Status all-India: LFPR 60.1%, WPR 58.2%, UR 3.2%.
  • Usual Status (365-day reference, ps+ss) versus Current Weekly Status (7-day reference): the same 2023-24 reality gives UR 3.2% under Usual Status but 4.9% under CWS. Current Daily Status is an older, pre-PLFS NSSO concept, not one of PLFS's own two headline approaches.
  • Four Labour Codes, 29 Acts subsumed: Wages (4 Acts), Industrial Relations (3 Acts), OSH&WC (13 Acts, the largest), Social Security (9 Acts, extends coverage to gig/platform workers). Passed 2019-2020, but brought into force only from 21 November 2025; Central Rules followed only in May 2026.
  • India ratified ILO C138 and C182 (child labour) on 13 June 2017, taking it to 6 of 8 core ILO conventions ratified; C87 and C98 (freedom of association, collective bargaining) remain unratified, deliberately, due to restrictions on government servants.
  • Labour Bureau (industrial disputes/closures/lay-offs data) versus NSSO/NSO (conducts PLFS and expenditure surveys) versus MoSPI (parent ministry, sets methodology, releases PLFS reports).

The throughline across this whole chapter is that India's poverty and employment numbers are never just numbers; each one carries a specific methodology choice behind it; which committee's basket, which reference period, which reform's implementation date, and the exam consistently rewards knowing which choice produced which figure rather than the figure alone.

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