According to the World Bank, poverty is defined as a state of “pronounced deprivation in well-being.”
This holistic definition goes beyond mere income deprivation. It includes:

In essence, the World Bank sees poverty as multi-dimensional, linking economic deprivation with social exclusion, lack of opportunity, and vulnerability.
In India, the commonly followed approach to poverty has traditionally been narrower and survival-centric.
This has sparked debate, with critics suggesting that India’s poverty estimation often underestimates the true scale of deprivation.
However, India still lacks an official poverty line post-Planning Commission, and the issue of setting a multidimensional poverty metric is still under discussion.

In modern development discourse, poverty is not merely about income deprivation, but a multi-dimensional condition affecting various aspects of human life.
This broader understanding includes deficits in:
This holistic definition sees poverty not just as economic deficiency but as a condition where individuals lack the means to live with dignity.

“A human condition characterized by the sustained or chronic deprivation of the resources, capabilities, choices, security, and power necessary for the enjoyment of an adequate standard of living and other civil, cultural, economic, political, and social rights.”
This stresses that poverty is not just the absence of wealth but the absence of opportunities, security, and rights.
Renowned economist and Nobel Laureate Professor Amartya Sen revolutionized the way we look at poverty through his “Capability Approach.”
Poverty arises when individuals lack the capabilities required to live a life they value.
This includes:
It’s not just what people earn, but what they are able to do or become with that income that determines poverty.
Thus, the focus shifts from “means” to “freedoms.”
Some scholars and international frameworks conceptualize poverty as a violation of human rights.
Under this approach, poverty is seen as a failure of the state or society to guarantee:

This perspective frames poverty as not just a socio-economic failure, but a denial of justice and human dignity.
Eradicating poverty isn’t just about welfare—it’s about upholding basic human entitlements.
Dimension | Explanation |
Income Poverty | Lack of sufficient financial resources. |
Multidimensional Poverty | Deficits in health, education, housing, etc. |
Capability Deprivation (Sen) | Inability to achieve desired life outcomes due to lack of freedom and resources. |
Rights-Based Poverty | Failure to ensure human rights and minimum entitlements. |
Institutional View (UN/World Bank) | Chronic deprivation across economic, political, and social dimensions. |
Hence, establishing a robust poverty identification mechanism is vital for:
India has consistently worked to build scientific and data-driven frameworks to identify and categorize poverty.
The task has largely been institutionalized through the efforts of the Planning Commission and later NITI Aayog.
Year | Body / Committee | Details & Contributions |
1950 | Planning Commission | – Established by the Government of India to formulate Five-Year Plans. – Initiated macro-level studies on poverty. – Emphasized the need for estimating poverty for effective planning. – Initially focused more on economic growth and less on specific poverty metrics. |
1962 | Study Group (Expert Group) | – First formal attempt to measure poverty scientifically. – Headed by V.M. Dandekar and N. Rath. – Linked poverty to calorie intake: minimum 2,250 calories per person/day. – Used National Sample Survey (NSS) consumption data. – Set the foundation for calorie-norm-based poverty lines in India. |
1979 | Task Force on Projections of Minimum Needs and Effective Consumption Demand | – Chaired by Y.K. Alagh. – Proposed separate rural and urban poverty lines, based on calorie norms: – 2,400 calories for rural – 2,100 calories for urban – Linked these calorie norms with monthly per capita consumption expenditure. – Poverty line based on cost of a basket of goods required to meet calorie intake. – Became the official methodology used for decades. |
1989 | Expert Group under D.T. Lakdawala | – Recommended that state-specific poverty lines be computed based on local price levels. – Continued reliance on consumption expenditure via NSS data. – Marked a shift toward cost-of-living adjustments at the state level. – Emphasized the need for comparability across time and space. |
2005 | Expert Group under Suresh Tendulkar | – Major departure from calorie-based norms. – Advocated a uniform poverty line across rural and urban areas, adjusted for price differences. – Introduced new poverty lines (Rs. 446.68 for rural, Rs. 578.80 for urban in 2004-05). – Estimated 37.2% of population below the poverty line in 2004-05. – Criticized for setting very low poverty thresholds, seen as underestimating poverty. |
2014 | Expert Group under C. Rangarajan | – Addressed criticisms of the Tendulkar Committee. – Rs. 1,407/month (Urban) for 2011-12. – Used normative levels of adequate nutrition, clothing, housing, transport, education, and health. – Estimated 29.5% of the population below the poverty line in 2011-12. – Provided two cut-off estimates: for basic needs and minimum social consumption. – Not adopted officially by the government, but significant academically. |
Criteria | Tendulkar Committee (2009) | Rangarajan Committee (2014) |
Approach | Based on actual expenditure on health, education, and food | Based on normative minimum requirements |
Poverty Line (2011-12) | Rs. 816 (Rural), Rs. 1,000 (Urban) | Rs. 972 (Rural), Rs. 1,407 (Urban) |
% Below Poverty | 21.9% | 29.5% |
Calorie Norms | Not explicitly linked | 2,155 (Rural), 2,090 (Urban) |
Uniformity | Uniform across states with price adjustments | State-wise differentiation retained |
Additionally, individual economists have contributed by framing theoretical models and data-driven categorization of the population along the poverty spectrum.

Modern poverty is complex, dynamic, and multi-layered. Identification methods must adapt to these realities.

Poverty is not binary—it exists along a spectrum. Categorization helps in fine-tuning interventions.
Category | Description | Examples |
Chronic Poor | Consistently remain below poverty line | Landless laborers, urban homeless |
Churning Poor | Oscillate in and out of poverty | Seasonal workers, small farmers |
Transient Poor | Generally above the poverty line, but occasionally slip below it | Informal workers during crisis periods |
Non-Poor | Secure income and access to services | Salaried professionals, urban middle class |

Poverty in India is not the result of a single factor but a complex interplay of institutional, social, and economic factors. Despite rapid economic growth, millions remain in poverty due to persistent structural barriers and policy gaps.
77% of rural and 55% of urban households reported being in debt (CMIE, 2022).
High interest rates from informal credit sources further exacerbate poverty cycles.



Type of Poverty | Nature | Duration | Root Cause | Intervention Focus |
Absolute | Basic needs unmet | Long-term | Low income, survival-level crisis | Food, shelter, public services |
Relative | Social comparison | Ongoing | Inequality, exclusion | Redistribution, welfare |
Situational | Event-driven | Temporary | Crisis or disaster | Relief, recovery support |
Generational | Inherited | Long-term | Structural, cultural barriers | Education, empowerment |
Absolute Poverty refers to a condition in which individuals or households are unable to meet the minimum subsistence requirements necessary for a basic standard of living. This includes deprivation of:
It is distinct from “relative poverty,” which compares individual income to societal averages. Absolute poverty is more rigid and universal in its criteria.
HCR= (Number of people below the poverty line Total population) ×100
HCR= (Total population Number of people below the poverty line) ×100
HCR only counts the number of poor but does not reflect how poor they are. A person barely below the poverty line and one far below it is treated the same.
PGR= (Poverty Line−Average Consumption of BPL)
Often used in global indices like Foster-Greer-Thorbecke (FGT) indices to measure poverty severity.
Indicator | Purpose | Limitations |
Poverty Line | Sets benchmark for BPL classification | Static, may not capture regional variance |
Head Count Ratio (HCR) | Measures % of population below poverty | Ignores depth and severity of poverty |
Poverty Gap Ratio (PGR) | Measures average income shortfall | Doesn’t account for inequality among poor |
Squared Poverty Gap | Measures severity of poverty | Requires complex data and calculations |
The Multidimensional Poverty Index (MPI) provides a holistic perspective on poverty by recognizing that poverty is not solely defined by income levels. Instead, it takes into account a wide range of deprivations such as poor health, lack of education, and inadequate living standards. This approach expands on the traditional income-based poverty measures, offering a more nuanced understanding of poverty’s complex and multi-faceted nature.
The Multidimensional Poverty Index (MPI) measures acute poverty by evaluating overlapping deprivations across various indicators. Unlike the World Bank’s income poverty measure (which focuses on extreme poverty, i.e., those living below $1.90/day), MPI includes several dimensions of poverty, providing a more comprehensive view of people’s well-being.
The MPI was developed by the UN Development Programme (UNDP) and the Oxford Poverty and Human Development Initiative (OPHI) and was introduced in 2010 to offer a richer understanding of poverty beyond income.
MPI’s use of 10 specific indicators across three dimensions (Education, Health, and Standard of Living) allows for a more detailed and accurate picture of poverty.
Education is a critical component of poverty as it impacts long-term economic and social mobility. The MPI includes two education-related indicators:
Health is another critical dimension, as good health is essential for a productive life. MPI includes two health-related indicators:
Living standards directly reflect the quality of life and access to essential services. MPI includes six indicators related to living standards:

India has made strides in reducing multidimensional poverty through various programs like Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), Pradhan Mantri Awas Yojana, and Swachh Bharat Abhiyan. However, significant disparities remain, particularly in rural areas and marginalized communities.
For example, as per the Global MPI 2020:
The Multidimensional Poverty Index (MPI) report reveals a significant achievement: 25 countries, including India, have successfully halved their MPI values over the past 15 years. This demonstrates global progress in alleviating multidimensional poverty, which includes factors such as education, health, and living standards, beyond just income.
From 2005-06 to 2019-21, a remarkable 415 million people in India have moved out of multidimensional poverty. This significant progress highlights the country’s efforts to address the multiple deprivations that contribute to poverty.
The report indicates that deprivation across the 10 MPI indicators has reduced in India. Notably, the poorest states, children, and marginalized caste groups have seen the fastest improvement. These findings suggest that India’s poverty alleviation strategies are reaching those who need them most.
The report acknowledges that India’s success in reducing poverty is, in part, attributed to social development schemes launched by the current government. These schemes have significantly improved access to basic services like healthcare, education, sanitation, and housing for the most disadvantaged populations.
While India’s rapid economic growth has faced criticism for not benefiting the poorest, these findings suggest that the growth has had a positive impact on poverty reduction. The success of poverty reduction programs has been facilitated by the government’s focus on inclusive growth, ensuring the benefits reach the poorest segments of society.
Despite significant poverty reduction, the COVID-19 pandemic may have had a reversing effect on some of the progress made in poverty alleviation. However, the lack of sufficient data on the full effects of the pandemic on poverty levels prevents drawing conclusive statements about this impact. Thus, India must continue its direct poverty relief efforts while pursuing economic growth.
The National Multidimensional Poverty Index (MPI), released by NITI Aayog in its second edition titled “National Multidimensional Poverty Index: A Progress Review 2023,” customizes the global MPI to fit India’s priorities. The MPI used by India takes into account dimensions, indicators, weights, and cut-offs that reflect the country’s specific goals and circumstances.
India has made notable progress in improving access to essential services for its poorest populations. These areas include:
According to NITI Aayog’s report, these concerted efforts have contributed to a decline in multidimensional poverty across India, especially in areas related to education, nutrition, and sanitation. These improvements have been critical in reducing overall poverty and raising living standards for marginalized and disadvantaged groups.
While the MPI takes into account several indicators, the key dimensions and their associated weights help determine the overall poverty index:

Each of these indicators reflects India’s development priorities, particularly in addressing fundamental human needs such as health, education, and living conditions.
The debate between income-based and consumption expenditure-based poverty lines revolves around the most accurate and practical method to measure poverty. The National Sample Survey Office (NSSO) has argued in favor of a consumption expenditure-based poverty line due to several reasons:
Three poverty estimation methods used by the National Sample Survey Office (NSSO) in India: URP, MRP, and MMRP, and how they differ in terms of methodology and their impact on poverty estimates.
If a household buys shoes once in 6 months, they might not mention it in a 30-day recall, underestimating their actual spending capacity.
If a household bought a refrigerator in the past year, it would be included in the consumption total, giving a better picture of real expenditure.
Daily milk consumption is captured better over a 7-day recall, while rare purchases like medical surgeries are not missed in a 365-day recall.
Method | Recall Period | Consumption Accuracy | Poverty Estimate |
URP | 30 days for all items | Low (misses infrequent spending) | Highest |
MRP | 30 days (food), 365 days (non-food) | Medium | Moderate |
MMRP | 7 days (food), 30 days (frequent non-food), 365 days (rare non-food) | High (most precise) | Lowest |
PPP (Purchasing Power Parity) adjusts for price differences across countries. It ensures $2.15 has the same real purchasing power in every country.
Monetary income doesn’t tell the whole story. For example:
Multidimensional Poverty includes non-monetary indicators such as:
This approach looks at what people don’t have, not just how much they earn.
MPM gives a more realistic, accurate, and holistic picture of who is poor and why—helping governments and international organizations design targeted policies.
Approach | Type | Focus | Used by | Purpose |
Poverty Line ($2.15/day) | Monetary | Daily income | World Bank | Measures extreme poverty |
Multidimensional Poverty (MPM) | Non-monetary + Monetary | Access to basic needs | UNDP, World Bank | Measures true deprivation, even above poverty line |
Estimator | Year | Estimated Poverty Line | Focus |
Dadabhai Naoroji | 1867–68 | ₹16–₹35 per capita per year (1867–68 prices) | Subsistence needs (Survival level) |
Nehru-led Committee | 1938 | ₹15–₹25 per capita per month (pre-war prices) | Irreducible minimum income |
These early estimates reflect the evolving understanding of poverty in India, moving from basic survival towards a more inclusive concept of human well-being.
Study | Year | Head Count Ratio (HCR) – Estimated Poverty (%) |
B.S. Minhas | 1956–57 | 65% |
M.S. Ahluwalia | 1960–61 | 39% |
P.D. Ojha | 1960–61 | 44% |
P.K. Bardhan | 1968–69 | 54% |
Committee/Study | Year | Methodology Focus | Estimated Poverty |
B.S. Minhas | 1956–57 | Consumption expenditure | 65% |
M.S. Ahluwalia | 1960–61 | Income & consumption trends | 39% |
P.D. Ojha | 1960–61 | NSS data-based consumption estimates | 44% |
P.K. Bardhan | 1968–69 | Consumption norms + price adjustments | 54% |
Dandekar-Rath | 1971 | 2,250 calorie-based consumption line | Rural: 40%, Urban: 50% |
Y.K. Alagh Task Force | 1977 | Calorie-based (2,400 rural; 2,100 urban) | Official estimates thereafter |
Feature | Tendulkar Committee | Rangarajan Committee |
Report Submitted | 2009 | 2014 |
Data Used | 2004–05 | 2011–12 |
Metric Used | MPCE (Monthly Per Capita Expenditure) | Family-level monthly expenditure |
Method Used | MRP | MMRP |
Nutrition Focus | Calories only | Calories, protein, and fat |
Poverty Basket | Uniform urban basket (for all) | Separate urban and rural baskets |
Poverty Rate (2004–05) | 37.2% | 29.5% |
Poverty in 2011–12 | 21.9% | 29.5% |
Reduction (2009–10 to 2011–12) | 7.9% | 8.7% |
The SECC gathered extensive information, which included:
The SECC classified households into three categories, facilitating a nuanced approach to targeting poverty alleviation:
1.Automatically Excluded:
SECC data has essentially transformed how poverty is understood and addressed in India:
SECC data has been incorporated into various key welfare schemes, including:
The strategy includes a multifaceted approach to poverty alleviation which encompasses several initiatives, notably:
The government’s efforts have resulted in a significant reduction in multidimensional poverty:
The MPI is a comprehensive tool designed to assess poverty beyond income, focusing on various dimensions that affect the well-being of individuals and households.
The MPI evaluates deprivation across three primary areas—health, education, and standard of living—utilizing 12 specific indicators that include:
Comprehensive Improvement
Amartya Sen’s capability approach provides a nuanced framework for understanding poverty and development, emphasizing human well-being and the importance of personal agency. Here’s a detailed explanation of the key elements of this approach:
Centered on People
Primary Moral Importance of Freedom
Understanding Well-being
Capabilities and Functionings:
While the capability approach has been influential, it is not without its criticisms:
Individualism
Under-Theorization
Information Gaps
The Sen Index of Poverty, developed by Nobel Laureate Amartya Sen in 1976, presents a comprehensive method for measuring poverty that accounts for its extent, severity, and inequality within a population. This approach combines multiple dimensions of poverty into a single index, making it an effective tool for policymakers and researchers. Here’s a detailed breakdown of the components and the mathematical formulation of the Sen Index:
The Sen Index of Poverty (S) is mathematically represented as follows:
S = H * [I + (1 – I) * G]
Breakdown of the Formula
Nobel Laureates Abhijit Banerjee, Esther Duflo, and Michael Kremer to the field of poverty alleviation through the use of Randomized Controlled Trials (RCTs) and introduces the Bare Necessities Index as a measure of access to essential services. Below is a detailed explanation of these concepts.
Concept Overview
Core Components
The index tracks access to important resources that contribute directly to quality of life. These essentials typically include:
Calculation of the Index
The Bare Necessities Index is measured using 26 indicators grouped into five dimensions:
Universal Basic Income (UBI) is a transformative idea that proposes providing all citizens with a regular, unconditional cash payment, regardless of their financial situation. The concept gained considerable attention following its discussion in the Economic Survey of 2016-17 in India, which highlighted its potential as a welfare solution. Below is a detailed exploration of the implications, benefits, challenges, and the broader context of UBI.
The main objectives of implementing UBI include:
Inequality encompasses any lack of balance or disparity among individuals or groups across various dimensions in society. It can be structured into several categories beyond just economic or social dimensions:
Inequality is a complex issue that often intersects with various social, political, and economic factors. It requires multifaceted approaches to address, including policy changes, social reforms, and concerted efforts from governments, organizations, and individuals to foster equity and inclusion across all levels of society.
Assessing income inequality is crucial for understanding how wealth is distributed within a nation. Two primary methods for evaluating income inequality include the Gini Coefficient and the Lorenz Curve, both of which are widely used in economic analysis.
1. Lorenz Curve:
2. Calculation Process:
Range:
Practical Interpretation:
Economic Impact:
Social Consequences:
Global Perspective
Understanding the Gini Coefficient and its implications helps in formulating strategies to promote equitable economic development and social welfare.
The Lorenz Curve is a critical graphical tool used to illustrate income or wealth distribution within a population. It helps visualize the degree of income inequality and serves as a foundational concept that complements the Gini Coefficient. Below is a detailed explanation of the Lorenz Curve’s characteristics, interpretation, and significance.
1. Axes:
2. Graphical Representation:

Perfect Equality:
Actual Income Distribution:
Interpretation of the Curves:
Shaded Area ‘A’:
Where:
Perfect Equality Condition:
1. Policy Tool:
2. Visual Comparison:
3. Educational Value:
In summary, the Lorenz Curve effectively illustrates the extent of income inequality within a society and provides a visual basis for understanding how income is distributed among its members. Its relationship with the Gini Coefficient allows for quantitative analysis of inequality and its implications for social and economic policies
The State of Inequality in India Report, released on May 18, 2022, by Dr. Bibek Debroy, Chairman of the Economic Advisory Council to the Prime Minister (EAC-PM), provides an extensive overview of income inequality in India. This report, crafted by the Institute for Competitiveness, is divided into two main sections: Economic Facets and Socio-Economic Manifestations. It outlines various factors that contribute to the current state of income inequality in India.
The report emphasizes that the narrative of inequality in India extends beyond mere income disparities. It intricately links various socio-economic factors, including education, health, and access to basic services, shaping the overall well-being of the population. Through this comprehensive analysis, the report highlights how income inequality intersects with issues of class, gender, and regional disparities, impacting societal dynamics and overall growth.
Addressing these disparities is crucial for fostering inclusive growth, enhancing social cohesion, and improving the quality of life for all citizens. Policies aimed at reducing inequality must target these interconnected areas to truly uplift marginalized communities and promote equitable development across the country.
The Indian government has implemented a range of initiatives aimed at reducing income inequality and promoting economic equity. These initiatives address various sectors of the economy and aim to empower marginalized communities. Below is a summary of key initiatives:
Key Schemes:
Policies:
Despite these efforts, critiques suggest that the impact on deeply entrenched income inequality remains limited. To enhance effectiveness, the following additional measures have been proposed: