MULTI-DIMENSIONAL POVERTY INDEX - REPORTS AND INDICES

News: NITI Aayog report says 13.5-cr. people lifted out of multidimensional poverty

 

What's in the news?

       Recently, NITI Aayog has released the second edition of the National multidimensional poverty index: a progress review, 2023”.

 

Key takeaways from the study:

       The number of multidimensionally poor reduced from 24.85% in 2015-16 to 14.96% in 2019-2020.

       Nearly 13.5 crore people came out of multidimensional poverty.

       Between 2015-16 and 2019-21, the MPI value has nearly halved from 0.117 to 0.066 and the intensity of poverty has reduced from 47% to 44%.

 

Multidimensional poverty in rural areas:

       Rural areas witnessed the fastest decline in poverty from 32.59% to 19.28%.

       States with the largest reduction in the number of poor are Bihar, Uttar Pradesh, Madhya Pradesh, Odisha, and Rajasthan.

       Delhi, Kerala, Goa, and Tamil Nadu have the least number of people facing multidimensional poverty.

       Bihar, Jharkhand, Meghalaya, Uttar Pradesh, and Madhya Pradesh top the chart where the percentage of population which is multidimensionally poor is high.

Multidimensional poverty in urban areas:

       Multidimensional poverty in urban areas, during the same period, saw a decrease from 8.65% to 5.27%.

       Uttar Pradesh registered the largest decline in the number of poor with 3.43 crore people escaping multidimensional poverty.

 

National Multidimensional Poverty Index:

       The MPI seeks to measure poverty across its multiple dimensions and in effect complements existing poverty statistics based on per capita consumption expenditure.

       This baseline report of the national MPI measure is based on the reference period of 2015-16 of the National Family Health Survey (NFHS-4).

       The first edition was released in 2015-16.

 

Partners in index preparation:

       Niti Aayog

       United Nations Development Programme

       Oxford poverty and human development initiative

 

Dimensions:

Dimension

Indicators

Health

       Nutrition

       Child and adolescent mortality

       Maternal health

Education

       Years of schooling

       School attendance

Standard of living

       Cooking fuel

       Sanitation

       Bank account

       Drinking water

       Electricity

       Assets

       Housing