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A gender-wise profile of India’s workers | Number Theory

The concluding part will take this disaggregation further and look at it from the prism of gender and the nature of salaried work in the Indian economy

Updated on: Dec 1, 2025, 09:04:20 IST
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The first part of this story looked at official labour market data on India and showed that salaried employment peaks much earlier than overall employment in India if analysed by age of workers. The concluding part will take this disaggregation further and look at it from the prism of gender and the nature of salaried work in the Indian economy.

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  • Women are less likely to have salaried jobs in India than men
    That women are less likely to work compared to men in India is a well-known fact. The labour force participation rate (LFPR) for women is 31%, 28 percentage points lower than for men. That women have to shoulder a greater burden of household work and care giving is one of the major reasons for this deficit. However, even among the women who do manage to break the glass ceiling to enter the job market, the disadvantage far from disappears. The share of women workers who have a salaried job in India is significantly lower than this is for men. However, this disadvantage does seem to come down with age.
  • Women are significantly more likely to be in services salaried jobs than men
    While services have a much larger share in salaried jobs in India than manufacturing, as was shown in the first part of the series, the difference is even bigger for women when compared to men across age groups. The share of salaried jobs for women in services is almost seven times the share of such jobs in manufacturing. This is almost thrice what this difference is for men, and it holds across age groups. What is even more interesting is the fact that a lot of the difference between the share of salaried jobs for men and women in services is on account of just one sub-sector of services: public administration, defence, and other services. To be sure, this sub-sector also includes jobs such as teaching. In fact, the share of other two services sub-sectors – financial services, real estate and professional services; and trade, hotel, transport, storage and communication – in salaried jobs of men is greater than women in India.
  • The gender gap is muted when it comes to quality of salaried jobs
    This is another interesting aspect of the labour market in India. While women face a disadvantage in entering the labour market and getting a salaried job, this gets relatively muted when it comes to the chances of landing a better salaried job. The gap between men and women salaried workers in things such as a job with a written contract, paid leave, or social security is much lower than what it is for gender gap in the labour force or salaried workers as a whole. Once again, age seems to play an interesting role here. The disadvantage for women when it comes to the quality of a salaried job increases for women as they grow older because things deteriorate for women salaried workers and improve for male salaried workers.
  • While some of the provisions in the recently passed Labour Codes could potentially boost employment of women via steps such as mandatory creches and allowing them to work night shifts in factories, a lot of the gender gap in employment will need social rather than legal course correction.
 
ABOUT THE AUTHOR
Abhishek Jha

Abhishek Jha is Assistant Editor-Data at Hindustan Times. He uses statistical programming to generate newsworthy insights from large datasets. He is part of the team that produces Number Theory, a daily data story feature of the paper’s print edition. Since March 2024, he has been writing Weather Bee, a weekly column for the Hindustan Times website. He is a chemical engineer by training, who specialises in stories related to weather, climate, and the environment. Jha has been at HT since 2018, where he offers data-driven perspective and analysis on politics, environment, weather, climate, economy and society. His work includes data coverage of elections in India and abroad, including the 2019 and 2024 Lok Sabha elections; the disasters and extreme weather resulting from changing climate, such as floods, droughts, heat waves, cold waves, and dwindling snow cap in the Himalayas; the factors that drive poor air quality in northern India; the changing patterns of land use; the Covid-19 pandemic and its impact on labour market conditions; the changing pattern of consumer spending seen in the new consumer spending surveys; and social norms seen in the surveys such as the National Family Health Survey.

ABOUT THE AUTHOR
Roshan Kishore

Roshan Kishore is the Data and Political Economy Editor at Hindustan Times. He heads the newsroom's data journalism team, which produces Number Theory, a daily data-driven feature for the print edition and the HT app. Number Theory uses data analysis and story-telling based on it to add value to the newsroom’s daily coverage by putting stories in a larger context on a range of issues, including politics, macroeconomy, markets, global affairs and climate. Under his leadership HT’s data journalism work has established itself as a niche product in Indian journalism and pushed the boundaries of marrying academic rigour with news sense and speed. Along with writing and editing data stories, he has also been writing a weekly political economy column called Terms of Trade for HT Premium. A trained economist with an MPhil degree from Jawaharlal Nehru University, Kishore has also been a visiting fellow at the Centre for Advanced Studies of India (CASI) at the University of Pennsylvania. Along with his journalistic work, his writings have also appeared in journals such as the Economic and Political Weekly and working papers for CASI and UNESCAP.

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