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In a December 2020 interview with Scroll.in, Kaushik Krishnan, then identified as chief economist at the Centre for Monitoring Indian Economy (CMIE), argued that India’s falling unemployment rate did not by itself show that households had recovered from the lockdown. Employment remained below its year-earlier level by some measures, while reported income and spending indicators were still weak. His figures describe conditions in 2020, not current household finances.
Why a falling unemployment rate did not settle the recovery question
The unemployment rate counts unemployed people who are actively seeking work as a share of the labour force. Someone who has stopped looking is not counted as unemployed under that definition. As Krishnan explained, unemployment can therefore fall even when people have not found work, if some leave the labour force.
He pointed to the employment-to-population ratio as a companion measure: it compares the number of employed people with the population, rather than only people in the labour force. It helps reveal a different part of the picture, though it does not by itself show whether jobs are full-time, productive, or paying what households need.
What CMIE’s employment measures showed in 2020
Krishnan cited CMIE employment-rate figures of 39.8% in January 2020, 27.2% in April, and 37.4% in November. The November figure was below the 39.2% recorded a year earlier. These are interview-era estimates reported in the December 5, 2020 Scroll.in interview, not present-day statistics.
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He also described an adjustment intended to account for people who said they were employed but reported working zero hours on a representative day. Krishnan said 8% of employed people reported zero hours during lockdown, compared with 0.5% before it. Under this adjusted definition, he put the employment rate at 33.8%, versus roughly 38% a year earlier. This zero-hours-adjusted figure is not the same series as the usual employment-rate figures above; it answers a narrower question about reported hours.
Household recovery extended beyond having a job
Krishnan stressed that CMIE’s Consumer Pyramids Household Survey (CPHS) tracked more than employment. In the interview, he described it as covering household income, debt, consumption, education, and health. Those dimensions matter for personal finances because a person may return to work while household income remains lower, debt payments consume more of the budget, or families continue to cut spending.
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On income, Krishnan said household incomes were already declining and labour-market distress was visible in late 2019, before the pandemic. He recalled that 84% of households reported income losses in May 2020; by November, 4.6% reported incomes higher than a year earlier. He characterized recovery as uneven: low-income households had nearly caught up to March levels, middle-income households had recovered partially, and the highest per-capita income group was recovering more slowly. He offered possible explanations for the highest-income pattern as hypotheses, not settled causes.
Household spending also remained under pressure in the figures he cited. By July 2020, non-food expenditure was 35% below July 2019. Overall food expenditure was about 12% lower year over year, and spending on cereals and pulses was 18% lower. Krishnan said food support may have reduced purchases of those staples, but the interview did not establish that as the cause. He also noted that consumption figures arrived with a lag of several months.
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What the interview said about different households
Krishnan said rural households were hit harder at the lockdown peak and urban households appeared to fare better during the recovery, while cautioning that the pattern required more investigation. The interview did not establish why the difference appeared, so it should not be treated as a settled causal conclusion.
He also identified debt servicing, education and learning, and physical and mental health as household outcomes deserving attention. In the interview, these were areas for further inquiry, not findings that quantified the pandemic’s longer-term effects.
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How the survey was conducted—and what changed during lockdown
Krishnan described CPHS as covering 174,405 households across 28 states and union territories, with villages and towns selected randomly and household visits carried out daily. During the strictest lockdown, fieldwork shifted from in-person visits to phone interviews. He said more than 92% of households had working phone numbers, but the phone survey reached approximately 76,000 households, compared with a usual count of over 170,000. At the time of the interview, he reported a 70% response rate, moving toward a historical average of 85%.
Those operational details are Krishnan’s account in the Scroll.in interview. The reduced phone-survey sample and response rate are relevant context when reading the figures; the interview alone does not establish how any survey limitation affected a particular estimate.
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Why Krishnan would not call it a V-shaped recovery
A V-shaped recovery suggests a steep downturn followed by a similarly rapid rebound. Krishnan’s December 2020 view was more cautious: “There isn’t enough evidence of a sharp V recovery yet.” He pointed to incomplete recovery across household measures and weak reported income growth, while leaving the eventual shape of recovery unresolved.
For a household-focused reading of the crisis, the key distinction is not simply whether unemployment fell. It is whether more people were working, whether reported hours and incomes recovered, and whether households could resume spending without worsening their debt position. The interview’s 2020 indicators did not yet provide a clear answer across all of those measures.
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