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Multiple Indicator Cluster Surveys Data dissemination and further analysis workshop Further Analysis: Youth and Adolescents MICS4 Data dissemination and.

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Presentation on theme: "Multiple Indicator Cluster Surveys Data dissemination and further analysis workshop Further Analysis: Youth and Adolescents MICS4 Data dissemination and."— Presentation transcript:

1 Multiple Indicator Cluster Surveys Data dissemination and further analysis workshop Further Analysis: Youth and Adolescents MICS4 Data dissemination and Further Analysis

2 Outline Terminology Why study youth and adolescents? What MICS already has to offer Ideas for further analysis (using Bhutan MICS4 data for examples) Further thoughts about producing thematic analysis reports

3 Terminology: who are they? Adolescents (UN): years –(early 10-14, late 15-19) Youth (UN GA): years Young people (UN GA): years Children (UNICEF): 0-17 years Adolescents (UNICEF): years

4 Why study youth and adolescents? Gains in young child survival but later loss in youth and adolescent years Key focus of programmatic intervention in many countries –A keener focus on the development and human rights of adolescents to enhance and accelerate the fight against poverty, inequality and gender discrimination – State of the Worlds Children 2011

5 Adolescents account for nearly one fifth of the world’s population Population of adolescents years old as a proportion of the total population, by region, 2010

6 More than half of the world’s adolescents live in Asia Population of adolescents years old by region, 2010 Source: United Nations, Department of Economic and Social Affairs, Population Division, World Population Prospects: The 2010 revision, CD-ROM edition, 2011.

7 By 2050, Sub-Saharan Africa is projected to have more adolescents than any other region Population of adolescents years old in millions, by region,

8 Injuries and neuropsychiatric disorders are major causes of mortality and morbidity among adolescents in all regions Major causes of disease burden in disability-adjusted life years (DALYs) per 1,000 adolescents years old, by region and by sex Source: WHO, The Global Burden of Disease: 2004 update, 2008/

9 How did we arrive at data on youth and adolescents? Data collected in Household Questionnaire Direct interviewing Individual Women Questionnaire administered to women age 15 – 49, a subset of which is When applicable Individual Male Questionnaire administered to men age 15 – 49, a subset of which is Retrospective data from Women’s questionnaire – find out about past events that occurred at younger ages e.g. marriage before age 15

10 What MICS can offer 1.MICS indicators and tables already available covering adolescents and youth (age groups 15-19, 20-24) 2.In MICS Reports: Information already available in existing MICS standard tables for age groups 15-49, 2-14, 5-14, 0-17, etc. 3.Additional information that can be extracted from MICS datasets not covered in the main MICS reports

11 Additional information that can be extracted from MICS datasets Percentage of children age years not living with a biological parent Educational attendance for adolescents/youth (Adolescents/youth out of school) Percentage of household members age without access to improved drinking water Percentage of household members age without access to improved sanitation facilities

12 MICS 4 - Added Modules for Youth Access to media and use of information/ communication technology Use of alcohol and tobacco Life satisfaction

13 Ideas for further analysis

14 Thematic Analysis on Youth and Adolescents Understanding who youth and adolescents are: Where they live How they live: affected by poverty? With whom they live: alone, nuclear families, extended families

15 Thematic Analysis on Youth and Adolescents Studying the outcomes for youth and adolescents in health, protection, education, and other issues: Key: Are they different to adults?

16 Further Analysis: Living arrangements against other outcomes

17 Education: Further analysis ideas No Formal Education Percentage of individuals age who have never attended formal education by sex, Bhutan, 2010 MaleFemaleTotal Never been to school Number of individuals age Never been to school Number of individuals age Never been to school Number of individuals age AreaUrban Rural Age Wealth index quintiles Poorest Second Middle Fourth Richest Total

18 Education: Further analysis ideas Tertiary Level Education Attendance Attendance ratios of young men and women in tertiary education, Bhutan, 2010 Tertiary education net attendance ratio (NAR), boys Total number of men Tertiary education net attendance ratio (NAR), girls Total number of women Tertiary education net attendance ratio (NAR), all Total number of youth age Gender parity index (GPI) for tertiary school adjusted NAR AreaUrban Rural Wealth index quintiles Poorest Second Middle Fourth Richest Total

19 Early marriage: Further Analysis

20 Reproductive and newborn health indicators by age of woman at birth, Bhutan, 2010

21 Early child bearing: further analysis ideas Early childbearing and mother’s education:

22 Sexual behavior and HIV: Further Analysis Ideas Associations between sexual behavior in the past 12 month and use of contraception, knowledge of HIV, HIV testing etc. Use of contraception Percentage of women age who have had sex in last 12 months who are using (or whose partner is using) a contraceptive method, Bhutan, 2010 Percent of women age who are using: Number of women No method Any modern method Any method AreaUrban Rural Age Number of living children Marital statusCurrently married/in union Formerly married/in union or never married EducationNone Primary Secondary Wealth index quintilesPoorest Second Middle Fourth Richest Total

23 Attitudes towards domestic violence

24 Further analysis Special sub-populations among youth Eg. 1: Are Urban youth more at risk for poor health outcomes? Eg. 2: Are children in youth-headed households more deprived of basic needs? Keep in mind the limitations of the data related to sample design and sample size

25 Thank you


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