KEEP UP TO DATE

CONNECT  facebook youtube instagram twitter soundcloud
search advanced search
Multidimensional child poverty

SDG 1 calls for the eradication of poverty, in all its forms, for every man, woman and child.

 

Children don’t control income, and they depend on the adults in their life to fulfill their needs. Children’s needs also change rapidly: a 3-year-old’s needs are quite different from those of an 8-year-old. This impacts heavily on the way poverty is experienced by children, even among children within the same household.

 

A multidimensional approach to child poverty is an essential complement to standard monetary poverty measurement. Research on multidimensional poverty aims to measure the actual access of children to goods and services that are fundamental for their full development and essential for the fulfillment of their rights under the Convention on the Rights of the Child (CRC).

 

Multiple Overlapping Deprivation Analysis (MODA) is a tool developed at UNICEF Innocenti that measures and defines multidimensional child poverty, based on the CRC. It allows us to gain a clearer picture of which dimensions of poverty children are experiencing, providing enhanced analytics to guide programming and policy responses. MODA is a practical and flexible tool that allows rigorous measurement of multidimensional child poverty in different contexts, as well as in-depth monitoring of SDG target 1.2. More than 50 national studies and 3 regional studies using MODA have been produced.

 

MODA can act as a supportive tool in planning interventions and policies that are more effective in targeting and revealing the most deprived children. It can also provide important evidence required to plan delivery of multi-sectoral interventions through the analysis of overlaps. Finally, MODA can be adapted to critical situations such as humanitarian crises and displacement, providing us with extremely valuable information not otherwise readily available.

Download the MODA Brochure.

 

Multidimensional child poverty

SDG 1 calls for the eradication of poverty, in all its forms, for every man, woman and child.

 

Children don’t control income, and they depend on the adults in their life to fulfill their needs. Children’s needs also change rapidly: a 3-year-old’s needs are quite different from those of an 8-year-old. This impacts heavily on the way poverty is experienced by children, even among children within the same household.

 

A multidimensional approach to child poverty is an essential complement to standard monetary poverty measurement. Research on multidimensional poverty aims to measure the actual access of children to goods and services that are fundamental for their full development and essential for the fulfillment of their rights under the Convention on the Rights of the Child (CRC).

 

Multiple Overlapping Deprivation Analysis (MODA) is a tool developed at UNICEF Innocenti that measures and defines multidimensional child poverty, based on the CRC. It allows us to gain a clearer picture of which dimensions of poverty children are experiencing, providing enhanced analytics to guide programming and policy responses. MODA is a practical and flexible tool that allows rigorous measurement of multidimensional child poverty in different contexts, as well as in-depth monitoring of SDG target 1.2. More than 50 national studies and 3 regional studies using MODA have been produced.

 

MODA can act as a supportive tool in planning interventions and policies that are more effective in targeting and revealing the most deprived children. It can also provide important evidence required to plan delivery of multi-sectoral interventions through the analysis of overlaps. Finally, MODA can be adapted to critical situations such as humanitarian crises and displacement, providing us with extremely valuable information not otherwise readily available.

Download the MODA Brochure.

 

LATEST PUBLICATIONS

In this paper, we provide estimates and analysis of child multidimensional poverty in Mozambique. Drawing on data from the Mozambique Household Budget Survey of 2014/15 (IOF), we define child multidimensional poverty using the Multiple Overlapping Analysis (MODA). We define three age groups of children, and a total of seven dimensions of deprivation: Family, Nutrition, Education, Child labour, Health, WASH, Participation, and Housing. Results show that 81 per cent of children are deprived in at least two dimensions. Children are especially vulnerable in rural areas, where deprivation rates reach 95 per cent, and in the provinces of Niassa, Zambezia, and Cabo Delgado. The dimensions that more frequently overlap in Mozambique are Housing, Health, and WASH, with one third of children being deprived in these three dimensions at the same time. The data also allow the analysis of the interplay between monetary and multidimensional child poverty: 46 per cent of children suffer both forms of poverty. Children who are poor and deprived are children who live in rural areas, in more remote provinces; they live in households whose heads are less educated and whose main activity is agriculture. Finally, there is a direct correlation with shocks affecting the household and multidimensional poverty, with children of families who experienced weather shocks being more likely to be poor, deprived, or both.

AUTHOR(S)

Lucia Ferrone; Andrea Rossi; Zlata Bruckauf

Fiscal incidence analysis is the most widely used methodology to assess the distributional effects of fiscal policies. However, for 40 years, it has lacked a child lens. A child focus on the redistributive capacity of fiscal policy is increasingly important due to the disproportionate incidence of poverty among children globally. This paper provides a child-dedicated focus on fiscal incidence analysis by tracking child-relevant benefits, turning children the unit of analysis, and using multidimensional child poverty metrics. The analysis—Commitment to Equity for Children, or CEQ4C—integrates three analytical frameworks, namely, public finance, fiscal incidence analysis, and multidimensional child poverty analysis. The paper develops a proof of concept for Uganda that includes measurement, diagnostics, and a policy simulation package replicable across diverse contexts. The proof of concept confirms that CEQ4C provides a higher-resolution fiscal incidence analysis for children than the traditional fiscal incidence analysis.

AUTHOR(S)

Jose Cuesta; Jon Jellema; Yekaterina Chzhen; Lucia Ferrone

Mental health is increasingly gaining the spotlight in the media and public discourse of industrialized countries. The problem is not new, but thanks to more open discussions and fading stigma, it is emerging as one of the most critical concerns of public health today. Psychological problems among children and adolescents can be wide-ranging and may include attention deficit hyperactivity disorder (ADHD), disruptive conduct, anxiety, eating and mood disorders and other mental illnesses. Consistent evidence shows the links between adolescents’ mental health and the experience of bullying. Collecting internationally comparable data to measure mental health problems among children and adolescents will provide important evidence and stimulate governments to improve psychological support and services to vulnerable children.

AUTHOR(S)

Zlata Bruckauf

The new universal Sustainable Development Goals (SDGs) call for “reducing at least by half the proportion of men, women and children of all ages living in poverty in all its dimensions according to national definitions” by 2030.

AUTHOR(S)

Yekaterina Chzhen; Zlata Bruckauf; Emilia Toczydlowska

The Sustainable Development Goal (SDG) target 1.2 implies that both monetary and non-monetary or multidimensional (MD) child poverty would be measured and monitored, and that the associated indicators would be defined nationally. However, very few countries routinely measure child MD poverty.

AUTHOR(S)

Lisa Hjelm; Lucia Ferrone; Sudhanshu Handa; Yekaterina Chzhen

Based on nationally representative data from the Armenian Integrated Living Conditions Survey 2013/14, the study finds that 64 per cent of children under 18 are deprived in 2 or more dimensions, with a substantially higher rate in rural than in urban areas. The highest rates of deprivation are in access to utilities, quality housing and leisure activities. More than one in four children are both multidimensionally deprived and live in consumption-poor households, while more than one in three are deprived but do not live in poor households.

AUTHOR(S)

Lucia Ferrone; Yekaterina Chzhen

This study provides the first estimates of national multidimensional child deprivation rates in Bosnia and Herzegovina using the National Multiple Overlapping Deprivation Analysis (MODA) pioneered by UNICEF. Amongst the findings of the analysis, it is seen that a reduction in child poverty and deprivation may be achieved by improving both the spending power of households and the availability of services/infrastructure in local areas.

AUTHOR(S)

Yekaterina Chzhen; Lucia Ferrone

This paper brings together the results of multidimensional deprivation analyses for thirty countries in sub-Saharan Africa. As these thirty countries represent 78% of the total population in the region, the paper also tries to shed light on the incidence and depth of child poverty across sub-Saharan Africa as a whole.

CO-AUTHOR(S)

Marlous de Milliano; Ilze Plavgo

This paper investigates child deprivation and its relationship to monetary child poverty in the European Union (EU) using the Multiple Overlapping Deprivation Analysis (MODA) methodology. MODA provides both a conceptual framework and a methodology to estimate the rates of monetary child poverty and multidimensional child deprivation, as well as the overlaps between these measures.

CO-AUTHOR(S)

Yekaterina Chzhen; Chris De Neubourg; Ilze Plavgo; Marlous de Milliano

The Multiple Overlapping Deprivation Analysis for the European Union (EU-MODA) compares the material well-being of children across the EU member states, using data from the child material deprivation module of the European Union Statistics on Income and Living Conditions (EU-SILC) 2009.

AUTHOR(S)

Yekaterina Chzhen; Chris De Neubourg

MORE PUBLICATIONS