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Last updated 29 July 2026

Salaried jobs among Muslims in India

Of all workers, what share has regular salaried jobs (as opposed to self-employment or casual labour). The Muslim share has trailed the all-India share in every survey round for two decades, and the gap is wider today than in 2004.

18.0%of all workers(2023)

higher is better

vs all communities: -3.7pp behind

Explore the interactive chart, with breakdowns by public vs private, what it pays, sex, and urban vs rural →

Latest figures by community (2023)

CommunityLatest value
Muslim18.0%
Hindu21.9%
Christian27.6%
Sikh26.7%
All communities21.7%

Public vs private2023

Of all workers, the share holding a regular GOVERNMENT salaried job (government, local bodies and public-sector undertakings), computed from PLFS 2023-24 microdata. About 2.8% of Muslim workers hold a public-sector job, against 5.0% of Hindus and 4.9% nationally, the lowest of any major community. Set against the host card: of the 18% of Muslim workers who are salaried, only about a sixth are in the secure public sector, so most of the Muslim salaried shortfall sits in government jobs, a long-standing Sachar Committee finding. Private salaried work is the rest.

CommunityIn govt jobs
Muslim2.8%
Buddhist11.6%
Christian9.0%
Other6.4%
Sikh5.6%
Jain5.2%
Hindu5.0%
All communities4.9%

From microdata Reproduce this view. This figure is recomputed from the unit-level survey microdata, the raw NSS or PLFS records behind the linked source. Source: PLFS microdata 2017-24. Each value is computed from the data file · transform code; every row records its own source and method.

What it pays2017-2023

Average monthly pay in regular salaried jobs (gross, preceding month, age 15+). Muslim salaried workers earned INR 17,747 a month in 2023 against the all-India INR 21,067, about 16% less, and the gap has stayed at 16-23% in every round since 2017-18. Rupees are nominal, so the rising lines mostly track inflation; the gap between the lines is the comparable story.

CommunityOverallUrbanRural
MuslimINR 17,747INR 18,396INR 16,811
ChristianINR 25,093INR 28,010INR 21,176
HinduINR 21,344INR 25,032INR 16,528
SikhINR 17,055INR 22,349INR 13,783
All communitiesINR 21,067INR 24,440INR 16,658

From microdata Reproduce this view. This figure is recomputed from the unit-level survey microdata, the raw NSS or PLFS records behind the linked source. Source: PLFS microdata 2017-24 · PLFS microdata 2017-24 · PLFS microdata 2017-24 · PLFS microdata 2017-24 · PLFS microdata 2017-24 · PLFS microdata 2017-24 · PLFS microdata 2017-24. Each value is computed from the data file · transform code; every row records its own source and method.

By sex2023

CommunityMaleFemale
Muslim20.8%10.9%
Hindu25.3%15.8%
Christian28.4%26.3%
Sikh26.7%26.9%
All communities24.9%15.9%

From microdata Reproduce this view. This figure is recomputed from the unit-level survey microdata, the raw NSS or PLFS records behind the linked source. Source: PLFS 2023-24 · PLFS microdata 2017-24 · PLFS microdata 2017-24 · PLFS microdata 2017-24 · PLFS microdata 2017-24 · PLFS microdata 2017-24 · PLFS microdata 2017-24 · EUS microdata 2004-12 (NSS 61st/66th/68th) · EUS microdata 2004-12 (NSS 61st/66th/68th) · EUS microdata 2004-12 (NSS 61st/66th/68th). Each value is computed from the data file · transform code; every row records its own source and method.

Urban vs rural2023

CommunityUrbanRural
Muslim32.7%11.0%
Hindu50.0%12.7%
Christian52.4%16.8%
Sikh45.7%21.4%
All communities47.5%12.7%

From microdata Reproduce this view. This figure is recomputed from the unit-level survey microdata, the raw NSS or PLFS records behind the linked source. Source: PLFS 2023-24 · PLFS microdata 2017-24 · PLFS microdata 2017-24 · PLFS microdata 2017-24 · PLFS microdata 2017-24 · PLFS microdata 2017-24 · PLFS microdata 2017-24 · EUS microdata 2004-12 (NSS 61st/66th/68th) · EUS microdata 2004-12 (NSS 61st/66th/68th) · EUS microdata 2004-12 (NSS 61st/66th/68th). Each value is computed from the data file · transform code; every row records its own source and method.

Bottom line

Just 18% of Muslim workers hold a regular salaried job, against 22% of Hindus; most Muslims work for themselves or as casual labour. The gap is starkest in cities, where salaried work is common: there, about a third of Muslim workers are salaried, against half of Hindus.

How to read the chart

The chart tracks the share of workers in regular salaried jobs over two decades, with the 2017 dashed break marking the move to the PLFS survey. The Urban vs rural tab carries the real story: the salaried gap is small in villages but very wide in towns. What it pays compares earnings inside those salaried jobs, and By sex splits the rate by gender.

Why it matters

A regular salaried job means a predictable wage, and often paid leave, provident fund and some security. The shortage of such jobs is the core of the Muslim economic disadvantage: not that Muslims do not work, but that their work is more often informal, self-run and insecure.

Status

Behindgap widening

Muslim 18.0% vs Hindu 21.9% in 2023, 3.9pp behind. The salaried share has risen for Muslims over twenty years, but the gap with Hindus has held, and it stays widest exactly where formal jobs are most available, in the cities.

Deeper analysis

Potential drivers

  • Education · Regular salaried jobs increasingly need credentials that fewer Muslims hold, the labour-market end of the schooling gap ↗ Sachar Committee Report, 2006.
  • Hiring discrimination · Resume-audit studies found applicants with Muslim names called back significantly less often than identical Hindu applicants ↗ Thorat and Attewell, 2007.
  • Self-employment · A long tilt toward family enterprise and trade, partly a response to closed doors, keeps many Muslims out of the wage sector ↗ Sachar Committee Report, 2006.
  • Little public-sector work · Muslims are sharply under-represented in government jobs, which make up a large share of all salaried work ↗ Sachar Committee Report, 2006.

Key levers

Key stakeholders

Badges link to an independent or registered credential where the organisation publishes one (Credibility Alliance, GiveIndia, 80G, FCRA). Many smaller NGOs do not take part in these registries, so a missing badge is not a mark against an organisation.

About this measurement

Definition. Of all workers, the share in regular salaried jobs rather than self-employment or casual labour.

Methodology. The 2023-24 point is PLFS 2023-24 Table 49 (pages 401-402), rural+urban person-level. Muslims are disproportionately self-employed (62.2% vs Hindu 58.3%) and under-represented in formal salaried work, the classic Sachar-era finding on labour-market segregation. The 2017-18 to 2022-23 points are computed from each PLFS round's unit-level microdata via the MoSPI NADA API (the PDFs publish this religion split only for their own year; the computation reproduces the 2023-24 published table within 0.2 points); the 2004/2009/2011 points come from the three quinquennial EUS rounds (NSS 61st/66th/68th), reproducing the published status-of-employment statements of NSS Reports 568/552.

The long view sharpens the finding: the Muslim salaried share has trailed the all-India share in every round for two decades (12.8% vs 14.4% in 2004-05, 16.2% vs 17.9% in 2011-12, 18.0% vs 21.7% in 2023-24), and within the PLFS years it FELL from its 2018-19 peak (22.2%) while participation rose, so the participation gains came in self-employment and casual work, not regular salaried jobs. EUS and PLFS designs are not strictly comparable; the line is dashed at the 2017 break. Religion is self-reported (NSO unit-data rider).

The "What it pays" tab folds in the pay counterpart computed from the same microdata rounds (the decarded salaried-earnings metric, anchored to the published all-ages earnings tables of the 2021-22 to 2023-24 reports across all 27 residence-by-sex cells within 0.03%): Muslim salaried workers earn 16-23% below the all-India average in every round (2023-24: INR 17,747 vs INR 21,067), so Muslims are both less likely to hold a regular salaried job and paid less when they do. Earnings rupees are nominal, so the comparable story is the gap, not the level.

Sources. PLFS 2023-24 · PLFS microdata 2017-24 · PLFS microdata 2017-24 · PLFS microdata 2017-24 · PLFS microdata 2017-24 · PLFS microdata 2017-24 · PLFS microdata 2017-24 · EUS microdata 2004-12 (NSS 61st/66th/68th) · EUS microdata 2004-12 (NSS 61st/66th/68th) · EUS microdata 2004-12 (NSS 61st/66th/68th). Download CSV: salaried-share.csv.

From microdata How to reproduce. This figure is recomputed from the unit-level survey microdata, the raw NSS or PLFS records behind the linked source.

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