Occupational structure

Also called: Distribution of workforce · Topic: Sectors of the Indian Economy · NCERT: Class 11, Ch 1 "Indian Economy on the Eve of Independence"; Class 11, Ch 2 "Indian Economy 1950-1990"

Meaning

Occupational structure is the way a country's workers are spread across the sectors of the economy: agriculture (primary), industry (secondary) and services (tertiary). It is also called the distribution of workforce.

It matters because it shows where people actually earn their living, not just where output comes from. As a country develops, workers should move out of farms and into factories and services. If they do not move, farm incomes stay low and rural poverty stays high.

Formula: Workforce share (%) = (Workers in the sector ÷ Total workers) × 100

Explanation

How it works: two measures, always read together

• Development can be measured in two ways:
• Output share: a sector's share in GDP or GVA. GVA (gross value added) is the value of output minus the value of the inputs used up.

• Employment share: a sector's share in total workers. This is the occupational structure.

• In a healthy structural transformation (output and jobs shifting from agriculture to industry and then to services), the two measures move together. When a sector's GDP share rises, its job share rises too.

• Three sectors (NCERT classification):
• Primary: uses natural resources directly. Examples: farming, dairy, fishing, forestry, mining.
• Secondary (industrial sector): turns natural products into other goods through manufacturing.
• Tertiary (service sector): supports the other two sectors. Examples: transport, storage, banking, trade, communication.

The textbook pattern (how it should change)

• Fisher-Clark three-sector hypothesis (named after A.G.B. Fisher and Colin Clark): as incomes rise, labour and output move from primary to secondary and then to tertiary.

• Developed-country sequence (Class 10): 1. Early stage: the primary sector is the largest in both output and jobs. 2. Farm surplus stage: farms produce more food, so fewer farm workers are needed. The freed workers become craftspersons, traders, transporters, administrators and soldiers. 3. Industrial stage: factories arrive, and farm workers move into them, often because they are forced to. The secondary sector becomes the largest in both output and jobs. 4. Service stage: the tertiary sector becomes the largest in output, and most workers are in services too.

• Lewis model (1954): farms have surplus labour, meaning workers who can leave without reducing farm output. These workers move to the modern sector until the surplus is used up.

What stops it from changing

• Disguised unemployment: more people work on a farm than it needs. If some leave, output does not fall. Class 10 example: a family of 5 works a plot that needs only 2 workers.
• Capital-intensive industry:
• Factories use many machines and few workers → few new factory jobs.
• The farm population keeps growing → more disguised unemployment on small plots.

• Farm incomes stay low → rural poverty stays high.

• Dual economy: a modern, machine-heavy, high-productivity sector exists side by side with a traditional, low-productivity sector (farming or informal work). If workers stay stuck in the traditional sector, the gap between the two grows wider.

Worked example: relative labour productivity

• Formula: Relative productivity = GDP share ÷ Workforce share
• Above 1: a worker in that sector produces more than the average worker.

• Below 1: a worker in that sector produces less than the average worker.

• Using the NCERT table (1950-51 → 1990-91):

Sector	GDP share	Workforce share	Relative productivity
Agriculture 1950-51	59.0	72.1	0.82
Agriculture 1990-91	34.9	66.8	0.52
Industry 1990-91	24.6	12.7	1.94
Services 1990-91	40.5	20.5	1.98

• What it means: by 1990-91, a farm worker produced about half of what the average worker produced. A worker in industry or services produced about 2 times the average, which is nearly 4 times what a farm worker produced.

In India

Colonial baseline (Class 11, Indian Economy on the Eve of Independence)

• The occupational structure was stagnant. It barely changed under British rule:
• Agriculture: 70-75% of workers
• Manufacturing: about 10%

• Services: 15-20%

• Regional variation:

• Agriculture's share fell a little in parts of Madras Presidency, Bombay Presidency and Bengal, because manufacturing and services grew there.
• Agriculture's share rose in Orissa, Rajasthan and Punjab.

1950-51 to 1990-91 (Class 11, Indian Economy 1950-1990)

Share (%)	GDP 1950-51	GDP 1990-91	Workforce 1950-51	Workforce 1990-91
Agriculture	59.0	34.9	72.1	66.8
Industry	13.0	24.6	10.7	12.7
Services	28.0	40.5	17.2	20.5

• Output left the farms, but people stayed on them. Agriculture lost 24.1 points of GDP share but only 5.3 points of workforce share.
• Industry grew at about 6% a year, mostly through the public sector. But its workforce share rose only from 10.7% to 12.7%, because it was capital-intensive.
• "Peculiar" path (Box 2.4): by 1990, services were 40.59% of GDP and the largest sector, yet held only 20.5% of workers. India reached a services-led structure before industry ever dominated.
• Many economists call this failure of jobs to follow output an important policy failure of 1950-1990.
• NCERT inconsistency: the chapter's text says the population depending on agriculture fell from 67.5% (1950) to 64.9% (1990), and also mentions "65 per cent". Its table shows 72.1% → 66.8%. Quote the table for workforce shares and point out the mismatch.

Recent data (PLFS, measured by MoSPI)

• Agriculture's share is rising again: it went from 44.1% (2017-18) to 46.1% (2023-24) [2]. Over the long run it is below 66.8% (1990-91). But PLFS and the older data use different survey methods, so treat that long-run comparison as rough.
• Manufacturing fell from 12.1% to 11.4% of workers, and services fell from 31.1% to 29.7% (2017-18 → 2023-24) [2]. Construction employed 12% of workers (2023-24) [2].
• Gender pattern (2017-18 → 2023-24):
• Women's share in agriculture rose from 57.0% to 64.4% [2].
• Men's share in agriculture fell from 40.2% to 36.3% [2].

• In rural areas, women's share in agriculture rose from 73.2% to 76.9% [2].

• Services gap: services give over 50% of GVA but only about 30% of jobs (2023-24) [3]. They added nearly 40 million jobs over the past six years [3].

• World comparison: India's services share of employment rose from 22.1% (1992) to 31.0% (2022), only 8.9 percentage points. The world's share rose from 35.5% to 49.8% over the same period [3].
• Job need: India must create about 78.5 lakh non-farm jobs every year until 2030 to speed up the "structural transformation from farm to non-farm jobs" (Economic Survey 2024-25) [2].
• Policy response: the National Mission on Manufacturing (Union Budget 2025-26) aims to raise manufacturing's share of GDP from 12.9% (2023) to 25% by 2035 and to create 143 million jobs [4].

Don't confuse with

• Sectoral composition of GDP/GVA: this measures where output comes from. Occupational structure measures where workers are. In 1990-91, services had the largest GDP share (40.5%), but agriculture had the largest workforce share (66.8%).
• LFPR and WPR: LFPR (labour force participation rate, the share of people working or looking for work) and WPR (worker population ratio, the share of people actually working) tell you how many people work. Occupational structure tells you in which sector they work. For 2023-24: LFPR 60.1%, WPR 58.2%, unemployment rate 3.2% [5].
• Structural transformation: this is the whole process of output and jobs shifting between sectors. Occupational structure is the job-side snapshot used to measure that process.
• Disguised unemployment: this is hidden surplus labour inside a sector. It is one reason the occupational structure stays stuck in agriculture. It is not the same as the distribution itself.

Prelims Hooks

• Colonial occupational structure: agriculture 70-75%, manufacturing about 10%, services 15-20%. It was stagnant.
• Trap: in the colonial period, agriculture's workforce share rose in Orissa, Rajasthan and Punjab and fell in parts of Madras, Bombay and Bengal.
• 1990-91 (NCERT table): agriculture had 34.9% of GDP but 66.8% of the workforce. Services had 40.5% of GDP but only 20.5% of the workforce.
• Trap: the NCERT text says 67.5% → 64.9% of people depended on agriculture. The NCERT table says workforce share went from 72.1% → 66.8% (1950-51 to 1990-91).
• PLFS: agriculture's workforce share rose from 44.1% (2017-18) to 46.1% (2023-24), and manufacturing's fell from 12.1% to 11.4% [2].
• Fisher-Clark hypothesis: with development, labour moves primary → secondary → tertiary. India's "peculiar" path (Box 2.4) is that services became the largest sector before industry ever dominated.

Mains Points

• Growth without a job shift:
• From 1950-51 to 1990-91, agriculture lost 24.1 points of GDP share but only 5.3 points of workforce share.
• The relative productivity of farm workers fell from 0.82 to 0.52.

• Use this to explain rural poverty, disguised unemployment and a widening dual economy. Capital-intensive, public-sector-led industry raised output but not jobs. This is a lesson for GS-III answers on inclusive growth and on choosing technology that creates jobs.

• Services-led vs manufacturing-led paths:

• India skipped the factory stage. Services give over 50% of GVA but about 30% of jobs [3].

• Services need skilled workers, while manufacturing can take in low-skill farm labour. Link this to Make in India, PLI schemes and the National Mission on Manufacturing target of 25% of GDP by 2035 [4]. This is often discussed as premature deindustrialisation, where manufacturing's share stops rising or starts falling at a much lower income level than it did in today's rich countries.

• Reversal after 2017-18:

• Agriculture's job share rose to 46.1%, and women moved towards farm work (64.4%) [2].
• This may be "distress" absorption (people taking farm work because there are no other jobs), not progress.
• Argue for labour-intensive manufacturing, construction and rural non-farm jobs: about 78.5 lakh a year are needed until 2030 [2].

Related concepts

• Structural transformation
• Dual economy

Read more

• Structural transformation: the textbook pattern and India's peculiar path to 1990