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Inequalities and data disaggregation
Siraj Mahmudlu
UNICEF Regional Office, CEE/CIS
4 November 2016
#EVERYCHILD 2030
A focus on and investment in child rights
Equity: “leave no one behind”
Participation: Children as change agents
Child protection issues as vital to progress for children
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?
#EVERYCHILD 2030
Why disaggregation?
#EVERYCHILD 2030
Why disaggregation? cont.
#EVERYCHILD 2030
In a final analysis, of the 169 SDG targets
48 targets are deemed to be highly relevant to children
• In particular under Goals 1,2,3,4,5,6,8, 10 and 16
47 are flagged as somewhat relevant to children
74 are considered as less relevant
Child-related SDG targets
#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, including by age
Child-related SDG indicators
Indicator Tier Possible Custodian
Other Involved Agencies
Skilled birth attendance I UNICEF WHO, UNFPA
Coverage of tracer interventions III WHO UNICEF, UNFPA, UN Population Division
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 I UNICEF WHO, UNFPA, UNWomen UN Population Division
Birth registration I UNSD, UNICEF UNFPA, UN Population Division
Indicators requiring joint UNICEF-UNFPA work
Diagnosis of data for children in the SDGs
Data availability for over half of child-related SDG indicators is either limited or poor
Disaggregated data is poor for half the indicators #EVERYCHILD 2030
Diagnosis of data for children in the SDGs, cont.
Around 1 in 3 countries does not have comparable
measures on child poverty.
1 in 2 countries around the world lack recent data
on children who are overweight.
Critical data gaps about the quality of maternal care.
Data on migrant children is scarce.
Shortage of accurate and comparable data on the number of children with disabilities in almost all countries.
Stratifiers and data sources
Relatively easy and conventional: gender/sex, age, geographic location
More difficult: income
Most challenging:
- Unconventional: race, ethnicity, disability and migratory status
- Undefined: vulnerable, poor, children in vulnerable situations
- Double stratifiers: men and women, particularly poor…
- Invisible: eg. children in residential care
Support countries to develop and test new indicators and methods for enhanced SDG monitoring through household surveys, censuses and other sources;
Support countries to collect and analyse data from different sources to generate baseline estimates for SDG indicators;
Work in partnership with other actors to build synergies and ensure coherent approaches
Champion progressive data disaggregation to ensure no child is left behind.
UNICEF priorities re: data for children in SDG era
#EVERYCHILD 2030
MICS
Covers about ½ of the SDG indicators based on household surveys
Representative / Population or area-based
Updated listing operation
Age, sex, wealth, geographic location, disability and migratory status
Double stratifiers
MICS, double stratification
#EVERYCHILD 2030
MICS – trends at disaggregated level
Built on the principle of leaving no one behind, implicitly promoting the inclusion of persons with disabilities
The 2030 Agenda for Sustainable Development includes eight targets and 12 indicators explicitly referencing persons with disabilities and their needs
Need a straightforward way to identify persons with disabilities
Need indicator/outcome data (education, employment, income, health care access) from data collection that also include the above disability identifier
Washington Group/UNICEF survey module on Child Functioning
Primary purpose: to identify children with functional difficulties
Rationale: In an unaccommodating environment, children with functional difficulties are at risk of experiencing limited social participation
Module can be included in any data collection effort – promote harmonization of disability statistics
UNICEF/WG module on child functioning: objectives
Uses the ICF biopsychosocial model
Uses, when appropriate, questions already tested and adopted by the WG
Considers age specificity (2-4/5-17)
Response options reflect disability continuum
Construction of the module
Thank you
#EVERYCHILD 2030