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  • Context (PIB): Findings of NITI Aayog’s ‘Multidimensional Poverty in India since 2005-06’ were recently revealed.

Findings of the Paper

  • India has registered a significant decline in Multidimensional Poverty in India (MPI) from 29.17% (2013-14) to 11.28% (2022-23).
  • UP registered the largest decline in the number of poor escaping multidimensional poverty during the last nine years followed by Bihar, MP, and Rajasthan.
  • The pace of decline in poverty headcount ratio using exponential method was much faster between 2015-16 to 2019-21 compared to period 2005-06 to 2015-16.
  • All 12 indicators of MPI have recorded significant improvement.

Decline in poverty in India

Multidimensional Poverty Index (Global MPI)

  • Global MPI is a measure of multidimensional poverty covering 107 developing countries.
  • It was first developed in 2010 by Oxford Poverty and Human Development Initiative (OPHI) and United Nations Development Programme (UNDP) for UNDP’s Human Development Reports.
  • Global MPI uses three dimensions and ten indicators.

Global Multidimensional Poverty Index (MPI)

National Multidimensional Poverty Index (National MPI)

  • It is published by NITI Aayog using the methodology in consonance with the global methodology.
  • Like the global MPI, India’s national MPI has three equally weighted dimensionsHealth, Education, and Standard of living – represented by twelve indicators.
  • The national MPI model retains the ten indicators of the global MPI model.
  • It also adds two indicators, viz., Maternal Health and Bank Accounts, in line with national priorities.

    Multidimensional Poverty Index Indicators and their respective weightage

Initiatives undertaken to reduce Multi-dimensional poverty in India

For details on Poverty topic >Poverty in India.

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