What is the Multidimensional Poverty Index (MPI) and how does it differ from income poverty?

The MPI is a comprehensive measure of poverty that captures deprivations across health, education, and living standards, identifying individuals who are poor in multiple aspects simultaneously. It differs from income poverty, which solely focuses on a person's monetary income or consumption falling below a predefined poverty line. While income poverty measures the lack of financial resources, MPI measures the actual lack of access to basic services and capabilities, offering a more holistic view of deprivation. A person can be income-poor but not MPI-poor if they have access to essential services, or vice-versa, highlighting the distinct yet complementary nature of these measures.

What are the three dimensions and ten indicators of India's National MPI?

India's National MPI, as adopted by NITI Aayog, is structured around three equally weighted dimensions: Health, Education, and Living Standards. Under Health, there are three indicators: Nutrition, Child & Adolescent Mortality, and Antenatal Care. Education comprises two indicators: Years of Schooling and School Attendance. The Living Standards dimension includes six indicators: Cooking Fuel, Sanitation, Drinking Water, Electricity, Housing, and Assets. Each indicator has specific deprivation thresholds, and a household is considered multidimensionally poor if deprived in at least one-third of these weighted indicators.

How is the MPI calculated using the Alkire-Foster method?

The MPI is calculated using the Alkire-Foster (AF) method, which involves identifying deprivations at the individual level across 10 indicators, assigning weights to these indicators, and then summing the weighted deprivations to get a deprivation score for each household. A household is deemed multidimensionally poor if its deprivation score meets or exceeds a poverty cutoff (typically 1/3). The overall MPI is then derived by multiplying the Headcount Ratio (proportion of poor people) by the Intensity of Deprivation (average deprivation score among the poor). This method ensures that both the incidence and depth of poverty are captured.

What is the significance of NITI Aayog's National MPI reports for India?

NITI Aayog's National MPI reports are crucial for India as they provide a robust, nationally relevant framework for measuring and monitoring multidimensional poverty. These reports, based on NFHS data, offer granular insights into poverty levels at state and district levels, enabling targeted policy interventions. They serve as a vital tool for tracking India's progress towards Sustainable Development Goal 1.2 and other related SDGs. The reports highlight areas of success and persistent challenges, guiding resource allocation and informing the design of welfare schemes to address specific deprivations, thereby fostering evidence-based governance and inclusive development.

How do government schemes like Swachh Bharat Mission or Ayushman Bharat impact MPI indicators?

Government schemes directly target specific MPI indicators, leading to tangible improvements. For instance, the Swachh Bharat Mission (SBM) focuses on providing improved sanitation facilities, directly reducing deprivation in the 'Sanitation' indicator. Ayushman Bharat, through its health insurance and wellness centers, aims to improve access to healthcare, impacting 'Child & Adolescent Mortality' and 'Antenatal Care' indicators. Similarly, Pradhan Mantri Ujjwala Yojana addresses 'Cooking Fuel' deprivation, and Jal Jeevan Mission tackles 'Drinking Water'. These schemes exemplify a multi-sectoral approach, where policy interventions are strategically aligned to address the various dimensions of poverty measured by the MPI, demonstrating the government's commitment to holistic development.

What are the limitations of the Multidimensional Poverty Index?

While highly effective, the MPI has certain limitations. It relies on periodic survey data (like NFHS), leading to a time lag in reporting and not reflecting real-time changes. The selection of indicators and their specific deprivation thresholds can be subjective and may not fully capture all relevant aspects of poverty in diverse contexts. The equal weighting of dimensions and indicators, while simplifying calculation, might not always reflect the actual severity or priority of different deprivations. Furthermore, the MPI identifies poor households but may not fully capture intra-household disparities, and it does not directly measure income poverty, which remains a critical aspect of deprivation.

How does India's MPI performance compare globally and with its neighbors?

India has shown significant progress in reducing its MPI. According to NITI Aayog's 2023 report, India's MPI value declined from 0.117 (2015-16) to 0.066 (2019-21), lifting 135 million people out of multidimensional poverty. Globally, this performance is commendable, placing India on a strong trajectory towards achieving SDG 1.2. While some smaller nations like Sri Lanka and Bhutan had lower MPI values earlier, India's rate of reduction in absolute numbers is substantial. Compared to other large developing economies, India's progress is notable, reflecting the impact of its large-scale welfare programs. This improvement strengthens India's position in global development indices and showcases its commitment to poverty alleviation.

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The Multidimensional Poverty Index (MPI) is an international measure of acute multidimensional poverty covering over 100 developing countries. It complements traditional income-based poverty measures by capturing the severe deprivations that each person faces at the same time with respect to education, health and living standards. The MPI was first launched in 2010 by the Oxford Poverty and Human …

Quick Summary

The Multidimensional Poverty Index (MPI) offers a robust and comprehensive framework for understanding poverty, moving beyond the traditional focus on income alone. Developed by the Oxford Poverty and Human Development Initiative (OPHI) and the United Nations Development Programme (UNDP), and adapted for India by NITI Aayog, the MPI identifies poverty at the individual level by assessing simultaneous deprivations across three critical dimensions: Health, Education, and Living Standards.

Each of these dimensions is equally weighted (1/3). Within these dimensions, ten specific indicators are measured, each with precise deprivation thresholds. For Health, the indicators are Nutrition, Child & Adolescent Mortality, and Antenatal Care.

Education is measured by Years of Schooling and School Attendance. Living Standards encompasses Cooking Fuel, Sanitation, Drinking Water, Electricity, Housing, and Assets. A household is considered deprived in an indicator if it fails to meet the specified threshold (e.

g., using solid cooking fuel, no household member completing six years of schooling). The MPI employs a 'dual cutoff' methodology: first, identifying deprivation in each indicator, and second, identifying a household as multidimensionally poor if it is deprived in at least one-third of the weighted indicators.

The overall MPI value is then calculated as the product of the Headcount Ratio (the proportion of the population that is multidimensionally poor) and the Intensity of Deprivation (the average proportion of weighted deprivations suffered by the poor).

This method, known as the Alkire-Foster method, provides a nuanced picture, revealing not just the incidence of poverty but also its depth and composition. In India, the National MPI uses data from the National Family Health Survey (NFHS) to track progress, with NITI Aayog releasing periodic reports that highlight national and state-level trends, crucial for targeted policy interventions and monitoring progress towards Sustainable Development Goal 1.

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MPI: Multidimensional Poverty Index.

Nodal Agency: NITI Aayog.

Data Source: National Family Health Survey (NFHS).

Dimensions: Health (1/3), Education (1/3), Living Standards (1/3).

Indicators: 10 total (Health: Nutrition, Child & Adolescent Mortality, Antenatal Care; Education: Years of Schooling, School Attendance; Living Standards: Cooking Fuel, Sanitation, Drinking Water, Electricity, Housing, Assets).

Methodology: Alkire-Foster (AF) method, Dual Cutoff.

Poverty Cutoff: Deprived in >= 1/3 of weighted indicators.

MPI = Headcount Ratio (H) * Intensity of Deprivation (A).

NITI Aayog 2023 Report (NFHS-5): MPI 0.066, Headcount 14.96%, 135 million lifted (2015-16 to 2019-21).

Top 5 States (Lowest MPI): Kerala, Goa, Sikkim, Tamil Nadu, Punjab.

Bottom 5 States (Highest MPI): Bihar, Jharkhand, Uttar Pradesh, Meghalaya, Madhya Pradesh.

Linkage: SDG 1.2 (No Poverty).

Vyyuha's 3-10-2 MPI Framework:

3 Dimensions: — Health, Education, Living Standards (HEAL - easy to remember!)

10 Indicators: — (H: Nutrition, Child Mortality, Antenatal Care; E: Years of Schooling, School Attendance; L: Cooking Fuel, Sanitation, Drinking Water, Electricity, Housing, Assets)

2 Cutoffs: — Deprivation cutoff (for each indicator) & Poverty cutoff (1/3 of weighted deprivations).

Memory Hooks:

NITI Aayog's NFHS Numbers: — NITI Aayog uses NFHS data. Remember 'N' for NITI, 'N' for NFHS.

MPI is H x A: — 'H' for Headcount, 'A' for Intensity. MPI is the 'HA' of poverty.

1/3 Rule: — You're poor if you miss 1/3 of the weighted pie (deprivations).

HEAL the Poor: — The 3 dimensions (Health, Education, Living Standards) are what we need to 'HEAL' in the poor.

Living Standards - The '6 Senses': — Cooking Fuel, Sanitation, Drinking Water, Electricity, Housing, Assets (think of these as basic 'senses' for a decent life).

135 Million: — The magic number of people lifted out of poverty by NITI Aayog 2023 report.

Multidimensional Poverty Index

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