Model UN Background Guide

Committee: Economic and Social Council (ECOSOC)
Topic: Multi-dimensional Poverty Measurement
Conference Year: 2025

Topic Background

Poverty measurement has traditionally relied on income-based metrics, primarily focusing on whether individuals or households fall below a defined income threshold. However, this approach often obscures the complex realities of deprivation, which encompass multiple dimensions such as health, education, living standards, and social inclusion. The concept of multi-dimensional poverty measurement (MPM) emerged prominently in the early 21st century, notably through the work of the Oxford Poverty and Human Development Initiative (OPHI) and the United Nations Development Programme’s (UNDP) Human Development Reports. The Multi-dimensional Poverty Index (MPI), introduced in 2010, has become a widely recognized tool to capture these overlapping deprivations.

The inclusion of multi-dimensional poverty in the Sustainable Development Goals (SDGs), particularly SDG 1 (“No Poverty”), has elevated the urgency of refining poverty measurement to better target interventions and monitor progress. As of 2025, the COVID-19 pandemic, climate change, and rising inequalities have exacerbated vulnerabilities, revealing limitations in income-based measures and underscoring the need for comprehensive metrics that inform policy responses. The debate now focuses on standardizing MPM methodologies, integrating them into national statistical systems, and ensuring data disaggregation to capture marginalized groups.

This topic is on ECOSOC’s agenda as member states and international organizations seek to harmonize measurement frameworks to improve poverty alleviation strategies, allocate resources more effectively, and achieve the SDG targets by 2030. The Council’s role in coordinating economic and social policies places it at the forefront of advancing consensus around multi-dimensional poverty measurement.

Key Actors

States

• India: A pioneer in adopting MPI at the national level, India’s government uses multi-dimensional poverty data to tailor social welfare programs, particularly in rural areas.
• Brazil: Known for innovative social policies like Bolsa Família, Brazil integrates multi-dimensional indicators into its poverty reduction strategies and advocates for South-South cooperation on measurement.
• South Africa: Faces significant inequality and has developed multi-dimensional poverty frameworks to address disparities, emphasizing race and spatial dimensions.
• European Union (EU) Member States: Many EU countries support harmonized poverty metrics within the EU framework and promote data-driven social policies, often emphasizing social exclusion and access to services.
• United States: While traditionally reliant on income poverty metrics, the US has shown increasing interest in multi-dimensional approaches through academic and policy circles but remains cautious about formal adoption.

International Organizations

• United Nations Development Programme (UNDP): Central in promoting the MPI and integrating MPM into the SDG monitoring framework.
• World Bank: Provides technical assistance for poverty measurement and supports countries in adopting multi-dimensional approaches alongside income measures.
• Oxford Poverty and Human Development Initiative (OPHI): An academic research center that developed the MPI and continues to refine methodologies and provide technical expertise.
• United Nations Statistics Division (UNSD): Works on standardizing data collection and ensuring compatibility between national and international poverty measures.
• International Labour Organization (ILO): Focuses on dimensions of poverty related to employment, social protection, and decent work.

Bloc Positions

1. Global South (Developing Countries)

Countries in this bloc, including India, Brazil, and South Africa, generally advocate for the adoption of multi-dimensional poverty measures as essential for capturing the complex realities of poverty in their contexts. They emphasize the need for technical and financial support to build national statistical capacities and stress that MPM should complement, not replace, income-based indicators. Many also call for flexibility in adapting MPI frameworks to local conditions.

2. European Union and Developed Countries

EU member states and other developed countries tend to support standardized, internationally comparable MPM frameworks that align with SDG monitoring. They emphasize data quality, transparency, and the use of MPM to inform social policies targeting exclusion and inequality. However, some, like the United States, remain cautious about fully integrating multi-dimensional metrics into official poverty definitions, preferring a gradual approach.

3. Least Developed Countries and Small Island Developing States (LDCs and SIDS)

This bloc highlights the challenges of limited data infrastructure and capacity constraints in implementing MPM. They advocate for increased international assistance, technical cooperation, and simplified measurement tools that can be feasibly applied in resource-constrained settings. Climate vulnerability and its impact on poverty dimensions are often stressed.

4. Middle Eastern and Oil-exporting Countries

Some countries in this group have low income poverty rates but face issues related to social exclusion, unemployment, and access to services. They tend to support multi-dimensional approaches that reflect these specific deprivations but may prioritize national sovereignty in defining poverty metrics. They often emphasize the role of social protection systems.

Past UN Action

• Resolution 2015/4: ECOSOC resolution endorsing the use of the Multi-dimensional Poverty Index as a complementary measure to income poverty in tracking SDG progress.
• Resolution 2016/13: ECOSOC decision encouraging member states to strengthen national statistical capacities for multi-dimensional poverty measurement and data disaggregation.
• Resolution 2019/21: ECOSOC resolution on integrating multi-dimensional poverty data into policy frameworks to address inequalities and promote inclusive development.
• Annual Human Development Reports (UNDP): Since 2010, these reports have included analyses and recommendations on multi-dimensional poverty measurement.
• Global Sustainable Development Report (GSDR): Regularly highlights the importance of multi-dimensional poverty approaches in assessing SDG progress.

Questions a Resolution Should Answer

1. How can ECOSOC support member states in building and strengthening national statistical systems to collect reliable multi-dimensional poverty data?
2. What frameworks or guidelines should be promoted to ensure the comparability of multi-dimensional poverty measures across countries while allowing for contextual adaptation?
3. How can multi-dimensional poverty measurement be integrated into existing poverty reduction and social protection policies at the national and international levels?
4. What mechanisms can be established to enhance data disaggregation by gender, age, ethnicity, disability, and geographic location within multi-dimensional poverty metrics?
5. How can international cooperation and financial assistance be mobilized to assist least developed countries and small island developing states in adopting MPM?
6. In what ways can ECOSOC encourage the inclusion of emerging dimensions of poverty, such as climate vulnerability and digital exclusion, in MPM frameworks?
7. How should ECOSOC balance the use of income-based and multi-dimensional poverty measures to provide a comprehensive picture of poverty globally?

Further Reading

• UN Documents and Reports: Official ECOSOC resolutions, UNDP Human Development Reports, Global Sustainable Development Reports, and publications from the United Nations Statistics Division provide authoritative insights into the evolution and current status of multi-dimensional poverty measurement. These documents outline normative frameworks, statistical methodologies, and policy recommendations.

• Think-Tank and Academic Research: Reports and working papers from institutions such as the Oxford Poverty and Human Development Initiative (OPHI), the World Bank, and the International Food Policy Research Institute (IFPRI) offer technical analyses, case studies, and critiques of various MPM methodologies. These sources are valuable for understanding methodological debates and practical implementation challenges.

• News Outlets and Policy Briefs: Reputable international news organizations (e.g., The Guardian, Al Jazeera, Reuters) and specialized policy platforms (e.g., Devex, Brookings Institution blogs) provide accessible coverage of recent developments, country case studies, and expert commentary on poverty measurement trends and political debates. These sources help contextualize the issue within current global events.

This background guide aims to equip delegates with a nuanced understanding of multi-dimensional poverty measurement, the interests and challenges faced by key actors, and the policy questions that must be addressed to advance effective and equitable poverty alleviation strategies through ECOSOC deliberations in 2025.