Walk through any Indian city and the contrast is hard to miss: gleaming apartment towers rising next to clusters of informal settlements. This visible gap raises two questions that are often confused with each other. Is the problem that some people lack the basics needed to survive? Or is the problem that the distance between the richest and the poorest has grown too wide? These are two different questions, and they point to two distinct concepts: poverty and inequality. Both shape the global economic order and the lives of billions, but treating them as the same thing leads to muddled thinking and weak policy. This post breaks down what separates them, how each is measured, and why the difference matters.
Table of Contents
- Two concepts, two different questions
- Understanding poverty
- Absolute poverty
- Relative poverty
- The shift toward multidimensional poverty
- Understanding inequality
- Measuring inequality: the Lorenz curve and the Gini coefficient
- Why the distinction matters: poverty and inequality can move independently
- Inequality as a feature of the global order
- The link between the two
Two concepts, two different questions
Poverty and inequality are closely linked, but they measure different things. Poverty looks at the bottom of the distribution. Inequality looks at the whole distribution.
Poverty refers to an absolute standard of living. It asks whether a person or household can meet a minimum threshold of needs, such as food, clean water, shelter, and basic healthcare. If they fall below that line, they are counted as poor, regardless of how the rest of society is doing.
Inequality, by contrast, is about relative living standards. It measures how income and wealth are spread across an entire society. A country could become richer overall while the gap between its top and bottom widens. Inequality captures that gap. As one development resource puts it, inequality is concerned with the full distribution of wellbeing, while poverty focuses only on the lower end.
This is the core distinction. Poverty is a question of sufficiency. Inequality is a question of distribution.
Understanding poverty
Poverty is itself measured in more than one way, and the distinction between its types is important.
Absolute poverty
Absolute poverty uses a fixed threshold, the poverty line, that does not change with the rest of society’s prosperity. A person is in absolute poverty when they cannot afford the minimum bundle of goods needed for survival. The World Bank sets international poverty lines for this purpose. Under the World Bank’s revised 2025 thresholds, around five percent of India’s population lived on less than three US dollars a day, while at a 4.20-dollar line more representative of lower-middle-income economies, almost a quarter of the population was considered poor. The threshold is fixed; what changes is how many people fall below it.
Relative poverty
Relative poverty is context-specific. It defines the poor in relation to the typical standard of living in their own society. Someone may have enough to survive yet still be unable to participate in normal social life, such as affording schooling, transport, or healthcare that most people around them take for granted. The Institute of Developing Economies notes that relative poverty shifts according to each society’s way of life and stage of economic development. Because it is defined against the average, relative poverty overlaps with inequality. A society with extreme inequality will almost always have significant relative poverty.
The shift toward multidimensional poverty
Money alone does not capture deprivation fully. A household might have a small income but still lack clean cooking fuel, a toilet, or access to schooling. To address this, poverty is increasingly measured across several dimensions at once.
The National Multidimensional Poverty Index (MPI), developed by NITI Aayog with the UNDP and the Oxford Poverty and Human Development Initiative, is the clearest example. It measures deprivation across three equally weighted dimensions: health, education, and standard of living. These are broken into twelve indicators aligned with the Sustainable Development Goals, including nutrition, child mortality, years of schooling, cooking fuel, sanitation, drinking water, electricity, housing, and bank accounts. The methodology rests on the well-established Alkire and Foster method, which identifies a household as poor when its combined deprivations cross a set cutoff.
This approach has produced striking numbers. According to a NITI Aayog discussion paper, around 24.82 crore people moved out of multidimensional poverty between 2013-14 and 2022-23. The headcount of the multidimensionally poor fell from roughly 29 percent in 2013-14 to about 11 percent in 2022-23. The same data shows the largest declines in heavily populated states such as Uttar Pradesh, Bihar, and Madhya Pradesh. These gains illustrate how poverty, defined against fixed thresholds of deprivation, can fall sharply over time.
Understanding inequality
Inequality is about how the total pie is divided, not whether everyone gets a minimum slice. It comes in several forms.
Income inequality compares the share of total income received by different groups, for example how much the top ten percent earn compared to the bottom forty percent. Wealth inequality looks at the distribution of accumulated assets such as property, savings, and shares, which tends to be far more concentrated than income. Beyond economics, there is inequality in access to healthcare, education, and employment, which can lock disadvantaged groups into a cycle that reproduces itself across generations.
Measuring inequality: the Lorenz curve and the Gini coefficient
The most common tool for measuring inequality is built on a graph called the Lorenz curve. It plots the cumulative share of income against the cumulative share of the population, starting with the poorest. If income were shared perfectly equally, the curve would be a straight diagonal line, the so-called line of equality, where the bottom 20 percent of people earn 20 percent of income, and so on. In reality the curve sags below this diagonal, and the further it bows away, the greater the inequality.
The Gini coefficient turns this picture into a single number. It is the ratio of the area between the line of equality and the Lorenz curve to the total area beneath the line of equality. It runs from 0 to 1. A value of 0 means perfect equality, where everyone has the same income. A value of 1 means perfect inequality, where one person holds everything and everyone else has nothing. Governments and bodies like the World Bank, OECD, and UN use it to track inequality over time and compare countries. For perspective, Oxfam notes that Norway has one of the world’s most equal distributions while countries such as Zambia rank among the most unequal.
Why the distinction matters: poverty and inequality can move independently
The most important insight is that poverty and inequality do not always move together. Understanding how they can diverge clarifies why they are separate concepts.
Consider the extremes. Maximum inequality describes a situation where one person owns everything and the rest own nothing. Minimum inequality, or perfect equality, is where everyone has an identical share. The key point is that minimum inequality can coexist with very different poverty outcomes. A society could share its resources perfectly equally while everyone lives in deep poverty, equal but poor. Or it could share resources perfectly equally while everyone is comfortable, equal and prosperous. Equality alone tells you nothing about whether people have enough.
The reverse holds too. A country can reduce poverty, lifting millions above the minimum threshold, while inequality stays high or even rises, because the gains at the top outpace the gains at the bottom. India’s recent experience reflects this tension. While the multidimensional poverty headcount has fallen dramatically, measures of inequality such as the Gini Index continue to vary across authorities like the World Bank, the World Inequality Lab, and PRICE, and remain a live concern. Falling poverty and persistent inequality can occur side by side.
This is why the two need separate policy responses. Poverty focuses on those below the line; inequality concerns the distribution across everyone. A program that hands cash to the very poorest reduces poverty without necessarily touching the overall distribution. A progressive tax that redistributes from the very richest reduces inequality without automatically guaranteeing that the poorest cross the survival threshold.
Inequality as a feature of the global order
In international relations, inequality is not just a domestic statistic. It is a defining feature of the current global economic and political order, and it affects both poor and non-poor individuals. The gap exists between nations as well as within them. A small group of wealthy countries holds a disproportionate share of global income and wealth, shaping trade rules, financial institutions, and the terms on which poorer countries participate in the world economy.
Global inequality can also be measured in different ways. One approach looks at differences between countries; another looks at differences between all individuals worldwide, accounting for inequality within each country as well. Each definition has different implications for what counts as progress. Encouragingly, while global inequality between countries has improved in recent decades, inequality within many individual countries has been rising. This is why inequality remains central to debates about a fairer international order, even as absolute poverty declines in much of the world.
The link between the two
Although distinct, poverty and inequality reinforce each other. High inequality tends to entrench poverty. When the wealthy capture most opportunities in healthcare, education, and employment, poorer groups face worse health outcomes, fewer jobs, and lower wages, which pushes them further into deprivation. Oxfam points to World Bank research finding that reducing inequality makes it easier for more people to escape poverty. Tackling the distribution and tackling the floor are therefore complementary goals, not competing ones.
Getting the definitions right is the first step toward effective policy. Measure only poverty, and you may miss a society fracturing along lines of wealth and opportunity. Measure only inequality, and you may overlook people who lack the basics to survive. Sound policy needs both lenses at once.
What do you think? If a country managed to eliminate absolute poverty entirely but its income inequality kept rising, would you consider that a success or a failure? And when resources are limited, should a government prioritise lifting the poorest above the survival threshold, or narrowing the gap between the richest and the rest?
References
- https://gsdrc.org/topic-guides/poverty-and-inequality/measuring-and-analysing-poverty-and-inequality/defining-poverty-extreme-poverty-and-inequality/
- https://www.statista.com/topics/8672/poverty-and-inequality-in-india/
- https://www.ide.go.jp/English/Research/Topics/Soc/Poverty/overview.html
- https://www.undp.org/india/national-multidimensional-poverty-index-progress-review-2023
- https://www.pib.gov.in/PressReleaseIframePage.aspx?PRID=1996271®=3&lang=2
- https://ourworldindata.org/what-is-the-gini-coefficient
- https://en.wikipedia.org/wiki/Lorenz_curve
- https://www.oxfamamerica.org/explore/issues/economic-justice/income-and-wealth-inequality/
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