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Regional Variations in Multidimensional Poverty in India


Authors : Vinita Katiyar; Shishir Kumar Verma

Volume/Issue : Volume 11 - 2026, Issue 4 - April


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DOI : https://doi.org/10.38124/ijisrt/26apr2042

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Abstract : Poverty in India is not only an economic issue but also a social and structural phenomenon, making it complex and cyclical in nature. It is a major stumbling block in development of country. Poverty is a multidimensional issue that is not only related to insufficient income of people but also to health, education and standard of living. Multidimensional poverty is measured by the Multidimensional Poverty Index (MPI). Like global MPI, India’s national MPI has three equally weighted dimensions – Health, Education, and Standard of living – which are represented by 12 indicators instead of 10. India's multidimensional poverty was notably high in 2005-06, with over half the population (55.34%) experiencing deprivations across health, education, and standard of living. It reduced to 24.85% in 2015-16. India has attained a significant reduction in its MPI value and Headcount Ratio between 2015-16 and 2019-21. While the country has made substantial progress in reducing poverty, the decline has not been uniform across all regions. Regional variations remain a significant challenge, with some states and regions experiencing much higher levels of multidimensional poverty than others. This paper highlights the regional variations and the factors that influence them. It also focuses the government policy and programmes aimed at reducing these variations and provides some policy recommendations for further reducing multidimensional poverty and regional variations in the MPI.

Keywords : Multidimensional Poverty, Multidimensional Poverty Index (MPI), Regional Variations, Government Policies.

References :

  1. Alkire, S. (2020). Multidimensional Poverty Measures as Policy Tools. In Dimensions of Poverty: Measurement, Epistemic Injustices.
  2. https://www.niti.gov.in/sites/default/files/2023-08/India-National-Multidimentional-Poverty-Index-2023.
  3. Alkire, S., Foster, J. E., Seth, S., Maria Emma Santo, J. M., & Ballon, P. (2015). Multidimensional Poverty Measurement and Analysis. Oxford: Oxford University Press.
  4. Methodological Note 47, Oxford Poverty and Human Development Initiative (OPHI), University of Oxford.
  5. Dotter, C., & Klasen, S. (2020). An Absolute Multidimensional Poverty Measure in the Functioning Space (and Relative Measure in Resource Space): An Illustration Using Indian Data. In Dimensions of Poverty: Measurement, Epistemic Injustices, Activism (p.229). Springer.
  6. Ministry of Health and Family Welfare. (2020). Health And Family Welfare Statistics in India 2019-20. Government of India.
  7. National Commission on Population, Ministry of Health & Family Welfare. (2020). Population Projections for India and States 2011- 2036. Government of India.
  8. UNDP. (2018). What Does it Mean to Leave No One Behind? A UNDP discussion paper and framework for implementation.
  9. OPHI, U. &. (2019). How to Build a National Multidimensional Poverty Index (MPI): Using the MPI to inform the SDGs. New York: UNDP.
  10. Raju M Mohan & Rohit Mutatkar, (2005). State-wise Estimates of Poverty among Religious Groups in India. Economic and Political weekly 40(13). India.

Poverty in India is not only an economic issue but also a social and structural phenomenon, making it complex and cyclical in nature. It is a major stumbling block in development of country. Poverty is a multidimensional issue that is not only related to insufficient income of people but also to health, education and standard of living. Multidimensional poverty is measured by the Multidimensional Poverty Index (MPI). Like global MPI, India’s national MPI has three equally weighted dimensions – Health, Education, and Standard of living – which are represented by 12 indicators instead of 10. India's multidimensional poverty was notably high in 2005-06, with over half the population (55.34%) experiencing deprivations across health, education, and standard of living. It reduced to 24.85% in 2015-16. India has attained a significant reduction in its MPI value and Headcount Ratio between 2015-16 and 2019-21. While the country has made substantial progress in reducing poverty, the decline has not been uniform across all regions. Regional variations remain a significant challenge, with some states and regions experiencing much higher levels of multidimensional poverty than others. This paper highlights the regional variations and the factors that influence them. It also focuses the government policy and programmes aimed at reducing these variations and provides some policy recommendations for further reducing multidimensional poverty and regional variations in the MPI.

Keywords : Multidimensional Poverty, Multidimensional Poverty Index (MPI), Regional Variations, Government Policies.

Paper Submission Last Date
31 - May - 2026

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