South Asia Regional Child Poverty Meeting Kathmandu 7-9 May 2008 ‘Study on Child Poverty and Disparities’ Country Progress Nepal.

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Transcript South Asia Regional Child Poverty Meeting Kathmandu 7-9 May 2008 ‘Study on Child Poverty and Disparities’ Country Progress Nepal.

South Asia Regional Child Poverty Meeting Kathmandu 7-9 May 2008

‘Study on Child Poverty and Disparities’ Country Progress Nepal

Concepts and methodology

– Opportunities • Disaggregated data by geographic, demographic, gender as well as ethnic dimensions; • First comprehensive study on Child Poverty in Nepal; • Reshape national policies at a watershed period in Nepal’s history; • Support the Constituent Assembly and the new government of Nepal to develop policies for children; – Challenges • Adapt the study to the Nepali context • Lack of data to address some of the key research questions • Developing a child-focused approach to analyzing socio economic policies in Nepal

Conceptual Framework

Fulfillment of Child Rights affected by: – Impact of conflict on children (IDPs; migration; child labour; access to and quality of social services; school drop out; nutrition…) – Widespread poverty and chronic inequalities and child outcomes: multiple dimensions (geography; community/household/individual; gender; ethnicity; socio economic status…)

Hypothesis: the impact of conflict on children has been extensive including material and non-material deprivations. Social exclusion and inequality, root causes of and aggravated by conflict, determine divergent outcomes for health, education, housing, access to water and sanitation, and other areas, depending on a child’s gender, caste and ethnicity.

•12.5 million children and young people (45%of population) •13% of population are under age 5 years old

Children poverty and disparity

Some examples:

• Infant mortality rates among Dalit children is 1.4 times higher than in the general population • Dalit children are 1.6 times less likely to be attending primary school than the general population • 1.8 million child laborers and some 5000 boys and girls living on the streets

Percentage of children under five classified as malnourished according to three anthropometric indices of nutritional status by wealth quantile, Nepal 2006 70 60 50 61.6

54.9

50.4

Stunting: Height-for-age below - 2SD Wasting: Weight-for-height below -2SD Underweight: Weight-for-age below -2SD 47 46 41.7

39.8

40 30 20 10 11.5

15.2

15.2

12.8

31 30.9

7 18.8

0 Low est Second Middle Fourth Highest Source: Ministry of Health and Population (MOHP) [Nepal], New ERA and Macro International Inc. 2007, Nepal Dem ographic and Health Survey 2006, Kathm andu, Nepal; Ministry of Health and Population and Micro International Inc.

120 100 80 60 40 43 71 Early childhood mortality rates by wealth quantile for the 10-year period preceeding the survey, Nepal 2006 98 Neonatal mortality Infant mortality Under-five mortality 91 83 70 62 63 51 47 40 47 38 31 26 20 0 Low est Second Middle Fourth Highest Source: Ministry of Health and Population (MOHP) [Nepal], New ERA and Macro International Inc. 2007, Nepal Dem ographic and Health Survey 2006, Kathm andu, Nepal; Ministry of Health and Population and Micro International Inc.

Impact of policies on Children’s Rights: some areas for further analysis

• Decentralization policy (DACAW) • Budgeting for children (not done yet) • Migration and remittances • Social Protection (lacking) • Government’s New Health Policy • Impact of current food crisis on children • Nutrition policies and practices

Challenges with the statistical and policy analysis methodology

• Some data gap or insufficient sample for a credible analysis (birth registration; disability; access to free health services and health insurance schemes…) • Correlations on some tables due to the requirement of using two different sources.

• Some tables cannot be completed due to difference in the unit of analysis (eg. deprivation tables).

Data collection and processing

– Using various sources of data to derive one core child outcome tables and relevant contextual information; – Available information was used to comply with global definitions .

Challenges with the sources of data

• Main Sources: NLSS and NDHS available for at least two points of time.

• Census information have also been used whenever appropriate. • Many circumstances where the available information in the data do not meet the data need. • In some instances, although information is available in the data, limited number of cases in the category of interest have produced questionable outcomes to draw conclusions.

Policy advocacy

Based on preliminary assessment key areas to be prioritized include: • Social Protection • Nutrition policies and practices • Strengthening the Child Protection System starting with birth registration

The study will be an important tool for advocating with key decision makers in these areas

Questions

• What should be done to those tables that can not provide as suggested by the statistical template. Example: table 1.1.2. In this case different data sets have to be used according to the information available in the data set.

• How the issue of the different units of analysis will be approached that deviates as understood from the given statistical tables?

• There are certain variables for which information is not available. Will these be dropped out?

• The “sex and age” variable under the “Individual dimension” as understood in the given template was found to be difficult in fitting information in some tables. Any suggestion on what to do in such cases.