1. Data for children in the SDG era UNICEF’s contribution Siraj Mahmudlu UNICEF Regional Office, CEE/CIS 20 Sep 2016

2. Overview 1. SDGs and children 2. UNICEF’s role at global, regional and country levels

3. #EVERYCHILD 2030 Child rights Equity: “leave no one behind” Investing in children Children as change agents Child protection issues Participation and inclusion Universally applicable to all countries Use and disaggregation of data to track progress for all children What did we aspire for children in the SDGs?

4. #EVERYCHILD 2030 Why disaggregation?

5. #EVERYCHILD 2030 In a preliminarily analysis, a subset of the 169 targets have been identified as particularly relevant for children (while recognizing that all goals and targets impact children’s and adolescents lives). 48 targets are deemed to be highly relevant to children In particular under Goals 1,2,3,4,5,6,8, 10 and 16 but beyond also energy (7); cities (11); sustainable consumption (12); climate (13); and means of implementation (17) 47 are flagged as somewhat relevant to children 74 are considered as less relevant Child-related SDG targets

6. #EVERYCHILD 2030 UNICEF advocated for 34 “priority indicators for children” – 31 were included into the final list 50 child-related indicators Strong emphasis on data disaggregation that UNICEF sought Child-related SDG indicators

7. UNICEF as Data Custodian UNICEF is the sole custodian for 10 indicators Joint custodian for 6 indicators Custodian agencies are expected to  Maintain global databases, lead methodological work, develop international standards, establish mechanisms for compilation and verification of national data  Report to the UN Statistics Division (coordinator) data and narratives, which is compiled into the Secretary General’s report every year #EVERYCHILD 2030

8. IndicatorTierCustodianOther Agencies Population below poverty line, by sex and age I National governments UNICEF World Bank Men, women, children living in multidimensional poverty II National governments UNICEF World Bank Stunting IUNICEFWHO Under-5 Mortality IUNICEF UN Population Division World Bank Neonatal Mortality IUNICEF UN Population Division World Bank Early childhood development IIUNICEFUNESCO, OECD Preschool attendance IUNESCOUNICEF #EVERYCHILD 2030 UNICEF as Data Custodian, cont.

9. Indicator Tie r CustodianOther Agencies Sexual violence against women and girls, by intimate partner II UNICEF UN Women UNFPA WHO UNSD UNDP Sexual violence against women and girls, by person other than intimate partner II UNICEF, UN Women UNFPA, WHO UNSD Early marriage IUNICEF WHO, UNFPA, UNWomen UN Population Division Child labour IILO, UNICEF Child discipline IUNICEFUNDP Sexual violence against children IIUNICEF UNSD, UNDP, UNODC Birth registration I UNSD, UNICEF UNFPA, UN Population Division #EVERYCHILD 2030 UNICEF as Data Custodian, cont.

10. Partnerships on Data for Children Global Interagency Group on Child Mortality Estimation (IGME) - (UNICEF, WHO, WB, UNPD) HIV/AIDS MERG (UNICEF, UNAIDS, WHO, others) Immunization Interagency Estimation Group (UNICEF, WHO) Newborn Indicators Technical Working Group Child Protection MERG –chaired by UNICEF and Save the Children MICS/DHS/LSMS coordination group Regional Coordination with UNECE, EuroStat, CISStat, other UN agencies involved in social statistics Contribution to the development of the CES Roadmap on SDG monitoring TransMonEE

11. Ongoing methodological work on SDG+ indicators #EVERYCHILD 2030 Child disability Adult disability Learning assessment Social Protection Migration status Informed decision making in sexual behaviour, family planning and reproductive health

12. UNICEF support for data at country level #EVERYCHILD 2030 Multiple Indicator Cluster Survey Administrative data sources (EMIS, AURORA etc.) Capacity development Introduction of innovations Framework for monitoring out-of-school children Nationalization of indicators

13. Diagnosis of data for children in the SDGs Data availability for over half of child- related SDG indicators is either limited or poor For half of the indicators disaggregated data is poor #EVERYCHILD 2030

14. Diagnosis of data for children in the SDGs

15. Diagnosis of data for children in the SDGs, cont. Around 1 in 3 countries does not have comparable measures on child poverty. There is a shortage of accurate and comparable data on the number of children with disabilities in almost all countries. 1 in 2 countries around the world lack recent data on children who are overweight. There are gaping holes in the data about where children on the move were born, how old they are, or why they migrated.

16. Support countries to collect and analyse data from different sources to generate baseline estimates for SDG indicators; Support countries to develop and test new indicators and methods for enhanced SDG monitoring through household surveys, censuses and other sources; Champion the development of methods and tools for progressive disaggregation to ensure no child is left behind. UNICEF priorities re: data for children in SDG era #EVERYCHILD 2030

17. Thank you #EVERYCHILD 2030