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Leaving no one behind the imperative of inclusive development

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100<br />

<strong>Leaving</strong> <strong>no</strong> <strong>one</strong> <strong>behind</strong><br />

Table III.2<br />

Annual changes in education, child mortality and under<strong>no</strong>urishment,<br />

by subgroup, 1998-2007<br />

Place <strong>of</strong> residence<br />

Proportion <strong>of</strong> youth<br />

with less than<br />

primary education<br />

Proportion <strong>of</strong><br />

children who died<br />

before age 5<br />

Proportion<br />

<strong>of</strong> children<br />

under<strong>no</strong>urished<br />

Urban -1.8 -2.7 -1.1<br />

Rural -1.8 -2.8 -0.6<br />

DHS wealth quintile<br />

Lowest wealth quintile -1.3 -2.8 -0.7<br />

Highest wealth quintile -3.1 -1.7 -2.0<br />

Occupation <strong>of</strong> household head<br />

Skilled, <strong>no</strong>n-manual a -1.9 -1.5 -0.1<br />

Unskilled manual -4.1 0.0 -7.4<br />

Ethnicityb<br />

Ethnic mi<strong>no</strong>rities -2.5 -3.1 -0.7<br />

Largest ethnic group 0.3 -0.4 -0.6<br />

Source: Calculations are based on Sumner (2013), with underlying data from Demographic and Health<br />

Surveys.<br />

Note: Based on data for 33 developing countries: Armenia, Bangladesh, Benin, Plurinational State<br />

<strong>of</strong> Bolivia, Burkina Faso, Cambodia, Cameroon, Chad, Egypt, Ethiopia, Ghana, Guinea, Haiti, India,<br />

Ind<strong>one</strong>sia, Kenya, Madagascar, Malawi, Mali, Morocco, Mozambique, Nepal, Niger, Nigeria, Pakistan,<br />

Philippines, Rwanda, Senegal, Tanzania, Uganda, Viet Nam, Zambia and Zimbabwe.<br />

a<br />

Managerial, pr<strong>of</strong>essional, technical and clerical occupations.<br />

b<br />

Ethnic mi<strong>no</strong>rities are grouped exclusively on <strong>the</strong> basis <strong>of</strong> size. It should be <strong>no</strong>ted that <strong>the</strong> numerically<br />

largest ethnic groups are <strong>no</strong>t consistently <strong>the</strong> better-<strong>of</strong>f groups.<br />

areas during <strong>the</strong> period. The proportion <strong>of</strong> youth with little education declined<br />

fastest among households where <strong>the</strong> head <strong>of</strong> <strong>the</strong> household was working in<br />

an unskilled, manual job, whereas households with children headed by an<br />

unskilled, manual worker saw <strong>no</strong> improvements in childhood mortality.<br />

Ethnic mi<strong>no</strong>rities benefited from considerably larger declines in childhood<br />

mortality than did <strong>the</strong> largest ethnic group, yet trends in malnutrition were<br />

similar for both groups.<br />

These examples highlight <strong>the</strong> need to monitor progress in different<br />

dimensions <strong>of</strong> social inclusion separately, adapting <strong>the</strong> choice <strong>of</strong> indicators<br />

to <strong>the</strong> purpose for which <strong>the</strong>y are to be employed and to <strong>the</strong> country context.<br />

Different indicators highlight different features <strong>of</strong> social exclusion; while<br />

<strong>the</strong>y can help in understanding <strong>the</strong> phe<strong>no</strong>me<strong>no</strong>n, <strong>the</strong>y can<strong>no</strong>t be expected to<br />

provide a complete representation <strong>of</strong> <strong>the</strong> state <strong>of</strong> a society (United Nations,<br />

2010).

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