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How the pandemic and lockdown have hit labour markets

An HT analysis suggests that the headline employment numbers in the latest report might be misleading, and a careful reading of the report and the unitlevel data does show signs of pandemicdriven distress in labour markets.

Updated on: Jul 28, 2021, 04:30:29 IST
By , , New Delhi
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The 2019-20 Periodic Labour Force Survey (PLFS), which was released last week by the National Statistical Office (NSO), shows a fall in the unemployment rate from 5.8% in 2018-19 to 4.8% 2019-20. Since PLFS follows a July-June timeline rather than the fiscal year (April-March) period, the 2019-20 report includes the 68-day-long hard lockdown. Does this mean that there was no distress in labour markets during the lockdown? An HT analysis suggests that the headline employment numbers in the latest report might be misleading, and a careful reading of the report and the unitlevel data does show signs of pandemicdriven distress in labour markets.

A comparison of the three reports shows that LFPR was the highest in 2019-20 and unemployment rate the lowest But these numbers hide more than they reveal. (Bloomberg)
A comparison of the three reports shows that LFPR was the highest in 2019-20 and unemployment rate the lowest But these numbers hide more than they reveal. (Bloomberg)

1) What do the headline numbers show?

The three most important numbers in the PLFS report are labour force participation rate (LFPR), work participation rate (WPR) and unemployment rate (UR). LFPR is the share of population in a given age group which is either working or looking for a job. WPR is the share of population which is actually working. UR is the percentage of unemployed persons in the labour force. There have been three PLFS reports so far, the latest one covering the period from July 2019 to June 2020. A comparison of the three reports shows that LFPR was the highest in 2019-20 and unemployment rate the lowest But these numbers hide more than they reveal. Here is why.


2) Covid forced a distress-driven rise in rural jobs

Images of thousands of migrant workers walking back to villages after the lockdown are among the most graphic memories of economic distress during the pandemic. The 2019-20 PLFS offers the first official proof of this distress. In keeping with established wisdom on economic transformation, the share of agricultural employment in India has been falling gradually. But 2019-20 was an exception to this trend when agricultural employment actually increased from 42.5% in the 2018-19 PLFS to 45.6% in the 2019-20 PLFS. A comparison of absolute number of jobs by sectors shows that agriculture more than compensated for the job losses in all other sectors of the economy in the April-June 2020 period.

The picture becomes even clearer once we look at the quarterly numbers for April-June 2020 and April-June 2019. On a year-on-year basis, urban India saw a reduction of 11.05 million jobs in the April-June 2020 period and rural India saw the addition of 14.7 million jobs. However, the unemployment rate – or the share of people looking for jobs who didn’t find one – increased in both rural and urban areas. As is obvious, unemployment rate increased more sharply in urban areas (from 8.9% to 20.8%) than in rural areas (from 8.7% to 12.2%). The reason unemployment numbers did not increase on an annual basis despite a sharp rise during the lockdown months is simple. They decreased sharply in the July-September 2019 and the October-December 2019 quarters, and to a lesser degree even in the January-March 2020 quarter. That there was distress in urban job-markets was obvious from the quarterly PLFS report for April-June 2020, released in March this year which covers only urban areas. Where the annual report really offers an insight is the rise in what seems to be distress-driven rural employment.


3) What happened to wages during lockdown?

The short answer is they fell sharply. PLFS gives wage data for three kinds of employment categories: regular wage/salaried, casual workers and self-employed. The self-employed were the worst hit during the lockdown, while regular wage workers suffered a contraction in incomes only in rural areas. The plight of self-employed workers was the worst in urban areas, where real wages fell to 75% of what they were a year ago. While regular wage workers do show an increase in wages at the national level, they only account for about a quarter of the total workers in the data from Periodic Labour Force Survey.


4) Underemployment increased as well

To be sure, both employment and wage statistics do not capture the actual stress in labour markets after the pandemic. This is borne out by another statistic in PLFS; the average number of hours for which work was available to different kind of workers. An average worker worked for 46.5 hours in a week in the April-June 2019 period. This came down to 37 hours in the April-June 2020 period. Urban areas reported a bigger reduction because both regular wage and self-employed recorded a big decrease in hours worked (on account of the hard lockdown). The self-employed were biggest losers in urban areas, while regular wage-earning workers were the biggest losers in rural areas.

“An unprecedented increase in share of agricultural employment underlines the rise in distress-driven employment during the pandemic,” said Himanshu, an associate professor of economics at Jawaharlal Nehru University. “It is a well-known fact that more people join the workforce during periods of economic distress to compensate for the loss of incomes and the situation must have become worse given the fact that the government offered very little in terms of direct support during the pandemic.”

  • Abhishek Jha
    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.Read More

  • Roshan Kishore
    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.Read More