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Regional estimates of multidimensional poverty in India


  • Dehury, Bidyadhar
  • Mohanty, Sanjay K.


This paper estimates and decomposes multidimensional poverty in 82 natural regions in India using unit data from the Indian Human Development Survey (IHDS), 2011-12. Multidimensional poverty is measured in the dimensions of health, education, living standard and household environment using eight indicators and Alkire-Foster methodology. The unique contributions of the paper are inclusion of a direct economic variable (consumption expenditure, work and employment) to quantify the living standard dimension, decomposition of MPI across the dimensions and the indicators, and estimates of multidimensional poverty at the sub-national level. Results indicate that 43% of India's population are multidimensional poor with large regional variations. The average intensity of poverty was 45.5% with a MPI value of 19.3. Six states in India-Bihar, Chhattisgarh, Jharkhand, Madhya Pradesh, Odisha and West Bengal who have a share of 45% of the total population-account for 58% of the multidimensional poor. Across regions, more than 70% of the population are multidimensional poor in the southern region of Chhattisgarh and the Ranchi plateau, while they comprise less than 10% in the regions of Manipur, Mizoram and Chandigarh. The economic poor have a weak association with health and household environment dimensions. The decomposition of MPI indicates that the economic dimension accounts for 22%, the health dimension accounts for 36%, the education dimension accounts for 11% and the household environment accounts for 31% of the deprivation. Based on these analyses, the authors suggest target based interventions in the poor regions to reduce poverty and inequality in India.

Suggested Citation

  • Dehury, Bidyadhar & Mohanty, Sanjay K., 2015. "Regional estimates of multidimensional poverty in India," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 9, pages 1-35.
  • Handle: RePEc:zbw:ifweej:201536

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    References listed on IDEAS

    1. Yélé Batana, 2013. "Multidimensional Measurement of Poverty Among Women in Sub-Saharan Africa," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 112(2), pages 337-362, June.
    2. repec:spr:esisew:978-0-387-75875-6 is not listed on IDEAS
    3. Manuela Coromaldi & Mariangela Zoli, 2012. "Deriving Multidimensional Poverty Indicators: Methodological Issues and an Empirical Analysis for Italy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 107(1), pages 37-54, May.
    4. Diego Battiston & Guillermo Cruces & Luis Lopez-Calva & Maria Lugo & Maria Santos, 2013. "Income and Beyond: Multidimensional Poverty in Six Latin American Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 112(2), pages 291-314, June.
    5. Alkire, Sabina & Seth, Suman, 2015. "Multidimensional Poverty Reduction in India between 1999 and 2006: Where and How?," World Development, Elsevier, vol. 72(C), pages 93-108.
    6. Berenger, Valerie & Verdier-Chouchane, Audrey, 2007. "Multidimensional Measures of Well-Being: Standard of Living and Quality of Life Across Countries," World Development, Elsevier, vol. 35(7), pages 1259-1276, July.
    7. Calvo, Cesar, 2008. "Vulnerability to Multidimensional Poverty: Peru, 1998-2002," World Development, Elsevier, vol. 36(6), pages 1011-1020, June.
    8. repec:pri:rpdevs:deaton_dreze_poverty_india is not listed on IDEAS
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    More about this item


    multidimensional poverty index; decomposition; regions; India;

    JEL classification:

    • I - Health, Education, and Welfare
    • J - Labor and Demographic Economics
    • Z - Other Special Topics


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