Multidimensional Poverty Measurement and Analysis
Summary
Multidimensional poverty measurement has transformed our understanding of deprivation by moving beyond income-based metrics to capture the intersecting deficiencies in health, education, living standards and other key capabilities. Drawing on the theoretical foundations laid by Amartya Sen, researchers employ composite indices and decomposition techniques to quantify both the incidence and intensity of poverty across individuals and subgroups. Central to this endeavour is the ability to disaggregate overall poverty into its constituent deprivations, revealing which dimensions drive exclusion in different contexts. Methodologies such as the Alkire-Foster framework enable robust cross-country and intertemporal comparisons, while the Sustainable Development Goals have given fresh impetus to harmonising indicators at global and national levels. Advances in survey design, data integration and spatial analysis now permit a richer mapping of multidimensional poverty, highlighting persistent hotspots and emerging patterns of destitution. This comprehensive perspective informs more targeted policies, ensuring that interventions address the combined burden of multiple deprivations rather than isolated deficits.
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Multidimensional Poverty Measurement and Analysis publication trend
The graph below shows the total number of articles in multidimensional poverty measurement and analysis across all publications each year (not limited to Nature Index journals).
Technical terms
Multidimensional Poverty Index (MPI): A composite measure capturing multiple deprivations in health, education and living standards at the household level.
Alkire-Foster Method: A counting approach that identifies who is poor by applying deprivation cut-offs and aggregates incidence and intensity into a single index.
Headcount Ratio (H): The proportion of a population identified as multidimensionally poor, ignoring the depth of each individual’s deprivations.
Intensity of Poverty (A): The average share of weighted deprivations experienced by the poor, indicating severity.
Decomposability: The property allowing overall poverty measures to be broken down by subgroup, dimension or region for targeted analysis.
References
- Changes Over Time in Multidimensional Poverty: Methodology and Results for 34 Countries. World Development (2017).
- Examining multidimensional poverty reduction in India 2005/6–2015/16: Insights and oversights of the headcount ratio. World Development (2021).
- A Distributional Analysis of Uni-and Multidimensional Poverty and Inequalities in Ethiopia. Social Indicators Research (2021).
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