An age-wise profile of India’s workers | Number Theory
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Thanks to the roll-out of the four Labour Codes, India’s labour market is in the news. While a lot of focus is currently on the debate between the supporters and opponents of the new Labour Codes, and about the extent of their potential benefits, it is useful to look at the age-profile of Indian labour markets. This two-part series will try and do exactly this: Give an age-wise breakup of workers by their employment, nature, and industry of work. Here is what the data shows.

Employment peaks in the 35-54 age cohortThe basic classification of a population when it comes to the labour market is whether people are working, want to work but cannot find a job, and are not looking for work. In technical parlance, these people are classified as employed, unemployed, and out of the labour force. Data from the Periodic Labour Force Survey (PLFS) shows that the share of employed population peaks in the 35-44 and 45-54 age groups. Unemployment is the highest in the 15-24 and 25-34 age groups. What is slightly counter-intuitive is the fact that the share of working people drops sharply in the 55-64 age group.
Salaried work peaks even earlier in IndiaThese pages had pointed out earlier that just about one-fifth of India’s workers are in salaried jobs. An age-wise breakup of workers by the kind of jobs they hold shows that the share of salaried workers peaks much earlier than all workers in India. It increases from 25.9% in the 15-24 age group to 29.8% in the 25-34 age group and then falls consistently.
Which could be a reflection of their rising share in overall employment in the recent pastA slightly long-term comparison of the break-up of employment in India shows that the share of salaried jobs has been rising in recent past. This number was 13% in the 1993-94 Employment Unemployment Survey (EUS) and has increased to 22.4% by the 2024 PLFS. To be sure, this trajectory did suffer in the aftermath of the pandemic’s economic disruption, but there seems to be a process of reversion to the pre-pandemic trajectory in more recent data.
Manufacturing salaried employment falls with age, services see a riseThe share of salaried jobs in services is more than three times the share in manufacturing. To be sure, this is not surprising given the fact that almost a similar gap exists between manufacturing and services even in terms of share in Gross Value Added (GVA). However, what is interesting is the difference in the trajectory of share of manufacturing and services in total salaried jobs by age group of workers. The number almost consistently – the only exception is the 65 and above age group – falls for manufacturing as one goes up the age ladder whereas the trend is exactly the opposite for services. Any labour reform, while it concerns all of the economy, must have a greater focus on younger workers because this is where the future of the economy lies.
ABOUT THE AUTHORAbhishek JhaAbhishek 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.Read More
ABOUT THE AUTHORRoshan KishoreRoshan 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.Read More

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