Beyond Income: The Multidimensional Concept of Poverty

For decades, when we talked about poverty, the conversation almost always revolved around a single metric: income. We’d draw a ‘poverty line’ based on how much a person spends or earns, and if they fell below it, they were considered poor. Simple, right? But imagine a family whose income is just above that line-they might technically not be ‘income poor’ but still lack access to clean water, have no electricity, and can’t afford medicine for a sick child. Does that really capture their reality? This single-lens view of human suffering is what the Multidimensional Concept of Poverty seeks to change, offering a far richer, more actionable picture of deprivation in places like India and around the world.

Beyond money: The limitations of income-based measures 🔗

The traditional approach, primarily focusing on income or consumption expenditure, is undoubtedly important. Historically, in India, poverty lines have been set based on the cost of a basket of goods and services needed to satisfy basic human needs, often anchored to a calorie norm (Drishti IAS). For example, the Tendulkar Committee in India estimated the national poverty line for 2011-12 based on a specific monthly per capita consumption expenditure (Vajiram & Ravi).

However, this monetary yardstick suffers from significant limitations. It acts like a flashlight in a dark room-it illuminates one spot brightly but leaves vast areas untouched. In a developing economy like India, assessing income is notoriously difficult, especially in the large rural and informal sectors where earnings can be variable and non-monetary transactions common. More critically, an income measure does not account for non-monetary deprivations, which are fundamental to human well-being (PMC).

Poverty as a cluster of deprivations 🔗

Poverty, in reality, is a state of multiple, overlapping deprivations. It’s not just about a lack of money; it’s about a lack of capability and opportunity. As the United Nations puts it, poverty entails more than the lack of productive resources; its manifestations include:

• Hunger and malnutrition
• Limited access to education and basic services
• Social discrimination and exclusion
• Powerlessness and insecurity (ClearIAS)

A household might earn enough to avoid being classified as income-poor, but if their child is malnourished, they use polluting cooking fuel, and they are forced to drink unsafe water, their true well-being-their lived experience-is severely compromised. The Multidimensional Concept of Poverty shifts the focus from “Do you have enough money?” to “Do you have the minimum basic essentials for a healthy, educated, and secure life?”

The Global Multidimensional Poverty Index (MPI): A new lens 🔗

To capture this complex reality, the Global Multidimensional Poverty Index (MPI) was developed in 2010 by the Oxford Poverty and Human Development Initiative (OPHI) in partnership with the United Nations Development Programme (UNDP). The MPI is an international measure of acute multidimensional poverty that complements traditional income-based figures.

Structure of the MPI 🔗

The MPI assesses poverty at the individual (or household) level based on deprivations across three equally weighted dimensions. Each of these dimensions is further broken down into specific indicators, all of which are tracked using micro-data from household surveys, such as the National Family Health Survey (NFHS) in India (PMF IAS). The three core dimensions are:

1. Health (Weight: 1/3)
   • Nutrition: A household is deprived if any adult (under 70) or child (for whom there is nutritional information) is undernourished.
   • Child Mortality: A household is deprived if any child under 18 years has died in the family in the five years preceding the survey.
2. Education (Weight: 1/3)
   • Years of Schooling: A household is deprived if no household member aged 10 years or older has completed six years of schooling.
   • School Attendance: A household is deprived if any school-aged child is not attending school up to the age at which they would complete class 8.
3. Standard of Living (Weight: 1/3)
   • Cooking Fuel: Deprived if they cook with unclean fuel (dung, wood, charcoal, or coal).
   • Sanitation: Deprived if they have unimproved or shared sanitation.
   • Drinking Water: Deprived if they do not have access to safe drinking water, which takes more than 30-minutes round-trip walk.
   • Electricity: Deprived if they have no electricity.
   • Housing: Deprived if housing is made of natural/rudimentary materials.
   • Assets: Deprived if they do not own more than one of several basic assets (radio, TV, phone, computer, etc.) and no car/truck.

Each of the two indicators in the Health and Education dimensions is weighted 1/6 (totaling 1/3 per dimension). Each of the six indicators in the Standard of Living dimension is weighted 1/18 (totaling 1/3). This ensures that each of the three dimensions carries equal weight in the final index.

Calculating the MPI: Headcount and intensity 🔗

The MPI uses a specific methodology, called the Alkire-Foster (AF) method, to identify the poor and then measure the extent of their poverty. The process involves two critical stages:

Step 1: Identifying the multidimensionally poor 🔗

First, we need to know who is poor. A person (or household) is considered multidimensionally poor if they are deprived in a critical mass of the weighted indicators. Specifically, they must be deprived in one-third (33.33%) or more of the total weighted indicators. A deprivation score is calculated for each person by summing the weights of all the indicators they are deprived in. If this score is $1/3$ or higher, they are counted as poor.

Consider two people, A and B, in a community. Person A is deprived in Nutrition ($1/6$), School Attendance ($1/6$), and Cooking Fuel ($1/18$). Their total deprivation score is $1/6 + 1/6 + 1/18 = 7/18 \approx 0.389$. Since $0.389$ is greater than $1/3 \approx 0.333$, Person A is counted as multidimensionally poor.

Person B is only deprived in Drinking Water ($1/18$) and Housing ($1/18$). Their score is $2/18 \approx 0.111$. Since this is less than the $1/3$ cutoff, Person B is not counted as multidimensionally poor.

Step 2: Aggregating to the final MPI value 🔗

Once the multidimensionally poor are identified, the MPI aggregates this information into a single, headline figure by combining two key components:

1. Headcount Ratio ($H$): This is the incidence of poverty. It’s simply the percentage of the population that is identified as multidimensionally poor.
2. Intensity of Poverty ($A$): This is the average intensity of deprivation. It measures the average proportion of weighted deprivations that are experienced by the poor people themselves. It tells us how poor the poor are.

The final Multidimensional Poverty Index (MPI) value, often referred to as the Adjusted Headcount Ratio, is the product of these two measures:

$$ \text{MPI} = H \times A $$

The MPI value ranges from 0 to 1. A value of 0 means no one is multidimensionally poor, and a value of 1 means everyone is deprived in all ten indicators. Crucially, the MPI is sensitive to both the number of people in poverty (Headcount) and the breadth of their deprivations (Intensity). If a poverty reduction program successfully reduces the intensity of deprivations-say, by providing clean cooking fuel to the poor-the MPI value will decrease, even if the headcount ratio ($H$) remains the same. This makes it a powerful tool for policy.

MPI trends in India: Progress through a multidimensional lens 🔗

The Multidimensional Poverty Index offers crucial insights into poverty reduction trends, particularly in a large and diverse nation like India. While the official National MPI now uses NFHS-5 data (2019-21) and a slightly adapted indicator set (OPHI), earlier academic studies have been key in validating the MPI’s utility.

A foundational study by Sabina Alkire and Suman Seth (2013), for instance, analysed changes in multidimensional poverty in India between 1999 and 2006, using comparable adaptations of the global MPI indicators.

Key findings from 1999 to 2006 🔗

The research demonstrated a significant reduction in multidimensional poverty in India during this period. The total MPI value decreased by 16%, showing faster progress than income poverty during a similar time frame.

• The proportion of multidimensionally poor people ($H$) saw a statistically significant reduction.
• The average intensity of their deprivations ($A$) also showed a smaller but statistically significant decline.

This reduction was primarily driven by improvements in Standard of Living indicators, such as increased access to electricity, better housing conditions, and improved access to safe drinking water and sanitation facilities. This indicates that government initiatives and economic growth led to progress in basic amenities, a shift that is often missed by purely income-based measures. However, the study also revealed that the progress was not uniform, with the poorest groups, such as Scheduled Tribes, and larger households experiencing slower reductions in poverty.

The MPI gives policymakers in India a detailed ‘deprivation map,’ highlighting which states or social groups are most deprived, and in which specific areas (health, education, or living standards). For example, if a state shows high deprivation in the ‘Years of Schooling’ indicator, the policy focus should shift toward adult literacy and completing formal education, rather than just increasing per capita income. The MPI thus moves poverty measurement from a vague financial aggregate to a targeted instrument for multisectoral policy intervention.

What do you think? How might a state government use the detailed indicator data of the MPI to design a more effective poverty reduction program compared to relying only on the income poverty line? In your view, which of the three MPI dimensions (Health, Education, or Living Standards) is the most critical starting point for breaking the cycle of poverty in a rural Indian context?

References

1. https://www.drishtiias.com/to-the-points/paper3/poverty-estimation-in-india
2. https://vajiramandravi.com/upsc-exam/issues-relating-to-poverty/
3. https://pmc.ncbi.nlm.nih.gov/articles/PMC9337695/
4. https://www.clearias.com/poverty/
5. https://ophi.org.uk/global-mpi
6. https://www.pmfias.com/multidimensional-poverty-index/
7. https://ophi.org.uk/national-mpi-directory/india-mpi
8. https://assets.publishing.service.gov.uk/media/57a08a7fed915d622c000783/60954_India_Brief.pdf