Economic Composition & Pattern of Work Participation Rate

• Economic composition is the make-up of a population by its participation in economic activity and by the kind of work people do. It is one of the demographic attributes and the one most closely tied to development.
• It is read through three measures: the work participation rate (how many work), the economic dependency ratio (how many each worker supports) and the occupational structure (in which sectors they work).
• The size of the workforce depends on the age composition, on social norms, especially those that govern women’s work, and on the resources, infrastructure and skills of a region.

Concept of Economic Composition

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Workforce and Economically Active Population

• The workforce (manpower) is the part of the population engaged in economically gainful activity: producing goods and services, paid or unpaid, physical or mental.
• The economically active population (the labour force) is wider. It includes the employed and the unemployed who are seeking or available for work.
• Not counted as economically active:
  • People doing household duties only.
  • Students, pensioners and retired people, dependants (infants, the very old) and inmates of institutions.
  • Rentiers and those living on remittances or alms.
• Unpaid domestic and care work, done mostly by women, is excluded from the workforce by convention. This is the main reason why female work is under-counted, most of all in South Asia.

Problems of Data and Comparison

• Definitions of a “worker” differ between countries and between sources:
  • in the reference period (a year, a week or a day);
  • in the treatment of unpaid family helpers, of women in household farm work, and of children;
  • in the minimum age (5, 10 or 15 years).
• Censuses and labour force surveys count differently. In India, the Census and the Periodic Labour Force Survey (PLFS) give different levels of female work.
• The International Labour Organization (ILO) standardises concepts (labour force, employment, unemployment, informal work) and publishes modelled estimates for international comparison.

Measures

• The crude rate is pulled down by a large child population. Age-specific and 15+ rates compare countries with different age structures more fairly.

Classification of Workers in India

Census of India

• A worker is a person who took part in any economically productive activity, with or without pay, during the year before enumeration. Cultivation or milk production even for home use counts as work.
• Main workers worked for six months (183 days) or more. Marginal workers worked for less than six months.
  • The main/marginal division was introduced in 1981.
  • In 2011, marginal workers were further divided into those who worked 3–6 months and less than 3 months.
• Non-workers did no work at all in the reference year.
• Four-fold classification (Censuses of 2001 and 2011):

• Nine-fold industrial classification (Censuses of 1971–1991):
  • Primary: cultivators; agricultural labourers; livestock, forestry, fishing, plantations and allied activities; mining and quarrying.
  • Secondary: manufacturing (household and other); construction.
  • Tertiary: trade and commerce; transport, storage and communication; other services.

PLFS

• The PLFS measures activity by usual status (the year before the survey: principal status plus subsidiary status, “ps+ss”) and current weekly status (the week before).
• It classifies workers by status (self-employed, regular wage/salaried, casual labour) and by industry under the National Industrial Classification 2008.
• Since 2025 the PLFS has reported on a calendar year and gives monthly estimates.

International Classification

• The UN’s International Standard Industrial Classification (ISIC) groups activities into divisions:
  • agriculture, forestry and fishing; mining and quarrying; manufacturing; electricity, gas and water;
  • construction; trade, hotels and restaurants; transport, storage and communication;
  • finance, real estate and business services; community, social and personal services.
• They are grouped into primary, secondary and tertiary sectors. Many geographers add a quaternary (knowledge and information) and a quinary (top decision-making) sector.

Determinants of Work Participation

Demographic Factors

• Age structure: the larger the share in the working ages (15–59), the higher the crude rate.
  • High fertility gives many children and lowers participation. This is why the crude rate is low in Bihar and Uttar Pradesh.
• Sex composition: male-selective in-migration raises participation in the Gulf states, Daman and Diu, and mining and industrial towns.
• Life expectancy and health: longer, healthier lives lengthen the working life. Where pensions are absent, the old keep working.
• Migration: age-selective migration concentrates workers at destinations (cities, the Gulf) and leaves dependants at the source.
• Family size and age at marriage: large, poor families send more members, including children, to work. Early marriage pulls girls out of school and often out of paid work.

Social and Cultural Factors

• Status of women is the decisive factor:
  • Seclusion (purdah), family-honour norms and restrictions on mobility keep women out of paid work in West Asia, North Africa and north-western India.
  • Women’s work is socially accepted in tribal and hill societies, the north-east and the south.
• Education delays entry into the workforce. More schooling lowers youth participation in the short run but raises productivity later.
• Caste and religion shape which work is acceptable, especially for women. Upper-caste withdrawal of women from field labour is a status marker in parts of India.

Economic Factors

• Type of economy:
  • Agrarian, subsistence economies use family labour, so women and children are counted as workers and participation is high.
  • Industrial and service economies need education and skills, so entry is later.
• Income and poverty act both ways:
  • Poverty forces participation, including child labour. This is a “distress” effect.
  • Rising household income lets women withdraw from farm work: an “income effect“.
• Employment opportunities: where suitable jobs near home are lacking, women’s participation falls even as their education rises.
• These pressures give female participation a U-shape across development, as Claudia Goldin (1995) showed.
  • It is high in poor agrarian societies, falls as households grow richer and work moves to factories, and rises again as educated women enter white-collar services.

Analysis of Economic Composition

Work Participation Rate

• Participation varies by sex, age, residence and region.
• Sex: men’s participation is high and similar everywhere (65–80% of men aged 15+). Women’s varies widely, from under 10% to over 80%. Female participation is therefore what really separates countries and regions.
• Age: participation is highest in the 25–54 age group, and lower among the young (still at school) and the old (retired).
  • In poor countries child labour and work in old age are common, because of poverty, school drop-out and the lack of pensions.
• Residence: participation is higher in rural areas, where family labour on farms counts as work, than in urban areas, where work needs skills and children stay at school longer.
• Development: participation is often higher in less developed, agricultural economies than in middle-income ones. High participation in poor regions often means distress and low productivity, not prosperity.

Economic Dependency Ratio

• Economic dependency ratio = non-workers ÷ workers × 100. It measures the burden on each worker.
  • India in 2011: 728.8 million non-workers and 481.7 million workers, a ratio of about 151 dependants per 100 workers (Census 2011).
• It can also be estimated from the age structure: (P0–14 + P60/65+) ÷ P15–59/64 × 100.
  • The economic ratio is always higher than the age ratio, because many working-age adults (students, home-makers, the unemployed) do not work.
• High economically active share → low dependency → more savings and human-resource development. A low working share means a heavy burden and lower economic efficiency.

Occupational Structure

• Occupational composition is the distribution of the workforce across sectors. It depends on the resource base, type of economy and level of development.
• Rural areas are dominated by the primary sector. Urban areas have most workers in the secondary and tertiary sectors.
• Developed regions show diversified occupations; less developed regions remain concentrated in farming.
• Clark–Fisher model: Allan G. B. Fisher (1935) and Colin Clark (1940) showed that as income per head rises, labour shifts from the primary to the secondary and then the tertiary sector.
  • The shift happens because demand for food grows slowly while demand for manufactures and services grows fast, and because productivity rises fastest in agriculture and industry.
  • India’s path differs. Labour has moved from farms straight into construction and services, with manufacturing’s share stuck near 12%. Many economists call this “premature deindustrialisation“.

World Pattern

Participation Rates

• In 2024, 61.1% of the world’s population aged 15+ was in the labour force, and 58.2% was employed (ILO modelled estimates via World Bank).
  • The rate has fallen slowly from 65.4% in 1991, as education lengthened, populations aged, and women in China and India left farm work.
• The gender gap is the largest feature: 73% of men but only 49% of women aged 15+ are in the labour force.
• Regional variation (LFPR, 15+, 2024):

• Country extremes:
  • Highest: Qatar (87%) and the UAE, where migrant workers dominate, and Madagascar (86%), Tanzania and Nigeria, where subsistence work dominates.
  • Lowest: Yemen (33%), Somalia, Syria and Afghanistan.
• Women: from under 6% in Yemen and Afghanistan (11% Iraq, 14% Iran) to over 80% in Madagascar, Nigeria and Tanzania.
  • The Nordic countries, China (59%) and Vietnam (69%) combine high female participation with very different economies.
• Men: highest in the Gulf (Qatar 96%, UAE 92%), where the population is mainly migrant workers.
• Large countries: China 65%, Indonesia 68%, the USA 62% and Brazil 63%, against India 56% and Pakistan 52%. Female rates are lowest in Pakistan (24%) and India (32% on ILO estimates).

Sectoral Composition

• Agriculture still employs 26% of the world’s workers, industry 24% and services 50% (2024).
• Agrarian economies: over 60% of workers in farming in Niger and Ethiopia, and 42–45% in India and Bangladesh.
• Industrial economies: about a third of workers in industry in China and Vietnam, the world’s factory belt.
• Service economies: 74–83% of workers in services and under 3% in agriculture in the UK, the USA, Japan and Germany.
• The pattern confirms the primary → secondary → tertiary sequence, though many developing countries are moving to services without a large manufacturing stage.

Key Insights

• Participation reflects the stage of the demographic transition, the level of development and the gender relations of a society.
• High participation in poor regions (Sub-Saharan Africa) often means distress-driven, informal, low-productivity work.
• Lower participation in rich regions reflects longer education, early retirement and ageing, not a lack of jobs.

Work Participation in India

Census 2011

• Work participation rate: 39.8% (481.7 million workers), up slightly from 39.1% in 2001. About 60% of Indians were non-workers.
• Sex: 53.3% of men but only 25.5% of women were workers.
  • Female participation was 30.0% in rural areas and only 15.4% in urban areas.
• Residence: rural 41.8%, urban 35.3%. The rural rate is higher because of family labour in farming, and the work of women and children in agriculture and allied activities.
  • The urban rate is lower because jobs need education and skills, and towns have more students, home-makers and elderly.
• Main and marginal workers:
  • 75.2% of workers were main workers and 24.8% marginal, up from 22.2% in 2001. Marginal workers numbered 119.3 million, about 9.9% of the population.
  • 40% of women workers were marginal, against 18% of men.
  • Rising marginal work signals underemployment, seasonal and casual work and disguised unemployment in rural India, and the feminisation of insecure work.
• Categories of workers (main and marginal):
  • Cultivators 24.6%, agricultural labourers 30.0%, household industry 3.8%, other workers 41.6%.
  • For the first time, agricultural labourers outnumbered cultivators. The number of cultivators fell by about 9 million in 2001–2011, as small farmers became labourers or left farming.
  • Rural India: cultivators 33.0% and agricultural labourers 39.3%: over 70% of rural workers depend on farming.
  • Urban India: other workers 86.9%; agriculture only 8%.

Spatial Pattern (Census 2011)

• High participation (over 45%): Himachal Pradesh (51.9%, the highest), Sikkim (50.5%), Daman and Diu, Nagaland, Chhattisgarh, and Telangana and Andhra Pradesh.
  • These are hill, tribal and dry-farming areas where women work on farms. Himachal also has the highest female participation (44.8%), followed by Nagaland and Chhattisgarh.
• Low participation (under 35%): Lakshadweep (29.1%, the lowest), Uttar Pradesh (32.9%), Delhi, Bihar, Jammu and Kashmir, and Kerala (34.8%).
  • Uttar Pradesh and Bihar: a high child share, low female participation and male out-migration.
  • Delhi (female rate 10.6%, the lowest) and Punjab: an urban economy, purdah norms and prosperity that lets women withdraw from field work.
  • Kerala: long schooling, an older population and male migration to the Gulf.
• Regional rule:
  • The peninsular and hill states are mostly above the national average.
  • The northern plains are below it.

Spatial Pattern of Occupational Structure

• Agriculture-dominated (cultivators and agricultural labourers over 60% of workers): Chhattisgarh (75%), Bihar (74%), Madhya Pradesh, Jharkhand, Himachal Pradesh, Andhra Pradesh, Rajasthan, Odisha and Nagaland.
  • These states combine low industrialisation, high pressure on land and low incomes.
• Non-agricultural (agriculture under 20%): Delhi, Chandigarh, Lakshadweep, Goa, Andaman and Nicobar, Kerala, Puducherry, and Dadra and Nagar Haveli and Daman and Diu.
  • These are urbanised, service or tourism economies, or industrial UTs.
• Occupational diversity rises with urbanisation, industrialisation and human development.

Recent Trends: PLFS

• PLFS 2025 (January–December 2025), usual status, persons aged 15+:
  • LFPR 59.3%: men 79.1%, women 40.0%.
  • WPR 57.4%: men 76.6%, women 38.8%. About 61.6 crore people aged 15+ were employed.
  • Unemployment rate 3.1%. It was highest for urban women (6.4%).
• Female work has risen sharply. Female WPR (15+) climbed from 22.0% in 2017–18 to 38.8% in 2025, mostly through rural self-employment and unpaid family work.
  • Rural female WPR was 44.9% in 2025; urban female WPR only 25.9%.
  • Women outside the labour force most often cite child care and home-making (44.4%).
• Age pattern (PLFS 2025): participation follows an inverted U.
  • For men, the LFPR rises from 25% at 15–19 to about 98% between 30 and 49, and falls to 54% at 60+.
  • For women, it peaks at only about 58% at ages 40–49. It stays at 31–41% through the 20s, the years of marriage and child-bearing.
  • About 37% of people aged 60+ are still in the labour force, most of them in farming and informal work, because few have pensions.
• Child labour: Census 2011 counted about 10.1 million working children aged 5–14. It is concentrated in farming, home-based industry and domestic work in Uttar Pradesh, Bihar, Rajasthan and Maharashtra.
• Informality: about nine in ten Indian workers have informal jobs, without a written contract, paid leave or social security. Even among regular salaried workers outside farming, 58% have no written contract (PLFS 2025).
• Status of employment: self-employment dominates rural work (57% of rural men and 71% of rural women). Regular salaried jobs are mainly urban (about half of urban workers).
• Industry of work (2025):
  • Agriculture 43.0% (men 34.3%, women 59.8%).
  • Manufacturing 12.1% and construction 12.0%.
  • Trade, hotels and restaurants 12.9%; transport and communication 5.8%; other services 13.1%.
• The next census (population reference date 1 March 2027) will give the first full count of workers since 2011.

Key Insights for India

• Low participation, plentiful labour: India’s low crude rate hides underemployment, disguised unemployment and very low female participation. It is a problem of the quality of employment more than its quantity.
• Higher rural participation is not development. It reflects distress-driven, low-productivity farm work.
• Feminisation of agriculture: as men move to non-farm work, women stay on farms as cultivators and helpers.
• Stalled structural change: farm workers move into construction and informal services rather than factories, so productivity gains are small.
• The demographic dividend depends on jobs. India’s working-age population will grow until the 2040s. Raising women’s work participation, skills and manufacturing jobs is the key to turning it into growth.