COVID‐19 and the Unequal Distribution of Poverty Risks: Evidence From Urban India

Archana Dang, Mausumi Das and Indrani Gupta

Review of Development Economics, 2026, vol. 30, issue 1, 125-139

Abstract: This paper investigates poverty transitions and household predictors associated with different states of poverty transitions in India during the pandemic's first year (2020). Following the unexpected shock brought on by COVID, economic activity slowed down, presumably pushing many households into poverty. For poverty alleviation programs, it is important to identify households that fell into poverty during COVID and remained in poverty subsequently. Our analysis finds that about 19% of individuals in urban areas who were not poor in the pre‐COVID period (2019) qualified as poor in the COVID period. Estimating a multinomial logit model for urban households, our analysis finds that vulnerable castes relative to upper castes had a higher probability of falling into poverty and remaining there. Moreover, households at the lower end of the expenditure distribution and those with household members with lower levels of education were more prone to falling back into poverty and more likely to remain in poverty. These findings suggest that those who were most vulnerable sustainably suffered the most; as a result, the pandemic worsened socioeconomic gaps that already existed across households.

Date: 2026
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