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SDGs indicators from a Gender Lens Francesca Grum Chief, Social and Housing Statistics Section Statistics Division, United Nations The relevance of ‘new.

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Presentation on theme: "SDGs indicators from a Gender Lens Francesca Grum Chief, Social and Housing Statistics Section Statistics Division, United Nations The relevance of ‘new."— Presentation transcript:

1 SDGs indicators from a Gender Lens Francesca Grum Chief, Social and Housing Statistics Section Statistics Division, United Nations The relevance of ‘new metrics’ for the evaluation of SDGs - Data for development and indicators for equity and gender equality – UNFPA, 16 March 2016

2 The 2030 Agenda for Sustainable Development –SDGs indicators relevant for gender analysis - from MDGs to SDGs Overview Current data sources and data gaps to assess the situation of women compared to men Statistical challenges in the implementation of the 2030 Agenda and the way forward

3 Global Gender Statistics Programme Mandated by the UN Statistical Commission Coordinated by the Inter-agency and Expert Group on Gender Statistics IAEG-GS Implemented by the UN Statistics Division/key partners To enhance the capacity of countries to collect, disseminate and use reliable gender statistics

4 SDG indicators Global Indicators for “follow up and review” of the 2030 Agenda for Sustainable Development ‘Agreed’ by the Statistical Commission in March 2016 To be endorsed by ECOSOC and GA Global indicators identified by the Inter-agency and Expert Group on Sustainable Development Goals Indicators (IAEG-SDGs members=28 Member States) Worked since June 2015; 2 plenary meetings; online consultations with all stakeholders for their comments/contributions; SDGs framework: 17 Goals, 169 Targets, 230 indicators –Around 1/3 gender relevant; http://unstats.un.org/unsd/statcom/47th-session/documents/2016- 2-IAEG-SDGs-E-Revised.pdf http://unstats.un.org/unsd/statcom/47th-session/documents/2016- 2-IAEG-SDGs-E-Revised.pdf

5 Gender relevant SDGs 12 out of 17 Goals covering gender equality

6 Millennium Development Goals (MDGs) (2000-2015) –Goal 3: Promote gender equality and empower women Target 3.A: Eliminate gender disparity in primary and secondary education, preferably by 2005, and in all levels of education no later than 2015 –Goal 5: Improve maternal health Target 5.A: Reduce by three quarters, between 1990 and 2015, the maternal mortality ratio Target 5.B: Achieve, by 2015, universal access to reproductive health Sustainable Development Goals (2016-2030) –Goal 5 “Achieve gender equality and empower all women and girls” 9 targets, 14 indicators addressing multiple concerns (none covered in the MDG framework) –Around 34% (58 out of 169) of Targets explicitly or implicitly address GE & EWG –Strong emphasis on disaggregation, including by sex and other relevant characteristics to capture intersecting inequalities (TG 17.18; para 74.g) From MDGs to SDGs

7 SDG indicators 230 SDG indicators* 32% gender relevant indicators ** 21% indicators explicitly to be disaggregated by sex * 7 duplicates and 2 triplicates; ** 1 indicator is repeated 3 times under different goals

8 Data sources and data gaps/challenges to monitor gender issues

9 Censuses – Data sources Household surveys – Administrative records – data disaggregation (yet only every 10 years, fewer/only selected variables, costly)  Most countries conduct at least one population census every 10 years  Exceptions = 21 countries or areas (7% of world’s population), did not conduct a population census in the 2010 census round more variables but limited coverage (age groups, sub-national level (small area stats), different population groups)  Demographic and Health Surveys (DHS), Multiple Indicators Cluster Surveys (MICS), Labour Force Surveys (LFS), Living Standards Measurement Studies (LSMS),… if system in place, less expensive solution + higher frequency but limited pop coverage, content (socio-demo info) and quality  Limited statistical use if different definitions, classifications…

10 Data availability

11 Data not disaggregated enough to assess the difference between women and men Professionals: 47% Skill agriculture and fishery workers: 48% Share of women in major occupational categories Share of women in detailed occupational categories United Kingdom Source: The World’s Women 2015: Trends and Statistics Dental practitioners: 35% Medical radiographers: 86% Market-oriented forestry, fishing: 15% Subsistence farmers, fishers, hunters: 51% Data granularity Liberia + Issues of data comparability, data quality

12 Challenges/opportunities and the way forward to ensure proper monitoring of SDG gender indicators and the implementation of the 2030 Agenda

13 Measurability of some targets –Current indicators set selected to ensure “political balance, integration and ambition of Agenda” is preserved => Complexity of the agenda (multidimensional goals + targets) and indicators to monitor (technically sound) = refinement of some indicators Challenges/Opportunities Availability of data to establish baselines for SDG indicators –=> assessment of data gaps + strategy/work plan to strengthen statistical country capacity and data availability Lack of statistical definitions, concepts/standards for new areas of concern –=> Development of statistical methods

14 “No one left behind” –Need for data disaggregation according to age, sex, income, race, migratory status, disability, geographic location….(when relevant) => Development of new standards; Better linkages/integration among data sources; Better use of existing and additional data sources (e.g. geospatial information; administrative records); Challenges/Opportunities (cont.) Global monitoring vs. National monitoring –Potential source of discrepancies between the two sets of statistics –=> improve reporting mechanisms within National Statistical Systems (NSS) and between NSSs and international level; use of country-level data for global estimates; clear metadata disseminated and explaining eventual discrepancies;

15 Inter-Agency and Expert Group on Gender Statistics (IAEG-GS) will –Review the outcomes of the 3 rd meeting of the IAEG-SDGs to be held in Mexico 30 March-1 April 2016 –Evaluate the implications of the SDG indicators framework to the work of the IAEG-GS –Set priorities for the IAEG-GS Development of methodologies Statistical capacity building Next steps: Impact on Global Gender Statistics Programme

16 Conclusions Gender equality and empowerment of women “at the center” of the 2030 Agenda for Sustainable Development Agenda! National and international statistical communities together with key stakeholders to ensure evidence is available to follow-up and review progress towards SDGs Additional resources will be needed at all levels=>significant investments including on capacity building Visit us http://unstats.un.org/unsd/gender/default.htmlhttp://unstats.un.org/unsd/gender/default.html


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