Outline

1. Gender and intersectional intersectional inequalities 2. New flagship initiative on gender statistics to support

localization and monitoring of SDGs – opportunities for addressing disability

Strong content on GEWE in 2030 agenda

• Realizing gender equality and the empowerment of women and girls will make a crucial contribution to progress (2030 Agenda Declaration)• Goal 5 “Achieve gender equality and empower all women and girls”:

Six Outcome and three MOI targets – many TGs addressing a multiple set of gender equality concerns (e.g. 5.1; 5.2, 5.3, 5.a, 5.c)• Gender sensitive TGs in many other goals: >25% of TGs. (21 mention

‘women, men, girls, boys or gender equality’ and 16 refer to ‘universal’ or access for ‘all’)• No one left behind: need to disaggregate by ‘income, sex, age, race,

ethnicity, migratory status, disability, geographic location and other characteristics relevant in national contexts’ (TG 19.18; para 74.g)

Monitoring of GEWE in SDGs: Significant developments and many (new) tools

• Many new tools to draw from, including:• Minimum set of gender indicators (52 Outcome + 11 Norms

indicators) adopted by UNSC in 2013 + adaptations in most regions• Core set of 9 VAW indicators (UNSC 2009, 2011, 2013)• Technical resources: guidelines on gender statistics

(UNECE/WB, UNSD); VAW data (UNSD); census (UNFPA); Gender data navigator (WB); gender and STEM (UNESCO) etc.• Various collaboration forums, coordination mechanisms and

partnerships, (IAEG-GS, EDGE, DATA2X etc.)

But many existing and new challenges for statistics• Issues covered go beyond minimum set • e.g. measuring discrimination: Indicator about results, not

means; but need one priority indicator; avoid composite indices, perception indicators etc. – no credible alternative yet• MOI targets: indicators to be universally relevant; avoid

measuring inputs

• Going beyond sex disaggregation: disaggregate also for marginalized groups, people with disabilities, migrants, etc. but with finite sample sizes.

• Gender and environment – brand new issues to think about such as gender and climate change (e.g. TG 13b)

• Doing justice to it all with a limited number of indicators (multipurpose indicators)

Experience of UN-Women in TST and IAEG-SDGs to date: Goal 5• During Open Working Group negotiations, UN-Women, UNFPA

and OHCHR led TST Gender cluster (later SDG 5)

• Within UN System, including recent exercise by UN Chief Statisticians, UN Women coordinated inputs for Goal 5

• Precedent of collaboration within IAEG-GS, so broad agreement among contributing agencies (i.e. FAO, ITU, OHCHR, UNICEF, UNESCO, UNODC, UNFPA and UN Women)

• Intensive consultation with civil society organizations, including monthly meetings, so broadly aligned• Comments by member states vary: Most are

supportive and more ambitious but some have also questions about the choice of indicators

Indicators for Goal 5 (and reactions to them) (1)

• Indicators for which there is broad enough agreement

Target Suggested indicator Data source Monitoring agency Tier

Possible disaggregation

Sex Age Loc. Inc. Other*

5.2Proportion of ever-partnered women and girls aged 15+ subjected to physical, sexual and psychological violence by a current or former intimate partner, in the last 12 months, by form of violence and age

DHS + VAW surveys UN-Women, UNICEF, UNSD II √ √ √ √

5.2Proportion of women and girls aged 15+ subjected to sexual violence by persons other than an intimate partner, since age 15, by age and place of occurrence

DHS + VAW surveys UN-Women, UNICEF and UNSD II √ √ √ √

5.3 Percentage of women aged 20-24 who were married or in a union before age 15 and age 18 (i.e., child marriage) DHS and MICS UNICEF and UNFPA I √ √ √

5.3Percentage of girls and women aged 15-49 years who have undergone FGM/C, disaggregated by age group, with a particular focus on ages 15-19

DHS and MICS UNICEF and UNFPA I √ √ √ √

5.4Average weekly hours spent on unpaid domestic and care work, by sex, age and location (for individuals 5 years and above)**

Time-use surveys UN-Women and UNSD II √ √ √ √ √

Indicators for Goal 5 (and reactions to them) (2)

• Indicators for which there is agreement but some questions remain

12 Suggested indicator Data source Monitoring agency TierPossible disaggregation

Sex Age Loc. Inc. Other*

5.6 Proportion of women (aged 15-49) who make their own sexual and reproductive decisions DHS and MICS*** UNFPA II √ √ √ √

5.b Proportion of individuals who own a mobile telephone, by sex Household surveys ITU II √ √ √ √ √

• Indicators for which countries have raised serious concerns about methodological clarity, areas of law covered, or type of indicator

5.1Number (%) of countries with legal frameworks that promote gender equality and non-discrimination against all women and girls

CEDAW CEDAW, UN-Women, OHCHR III

5.6Proportion of countries with laws and regulations that guarantee all women and adolescents access to sexual and reproductive health (SRH) services, information and education

Country reports UNFPA II

Indicators for Goal 5 (and reactions to them) (3)

• Indicators that were added/changed following comments

Target Suggested indicator Data source Monitoring agency TierPossible disaggregation

Sex Age Loc Inc Other*

5.2Proportion of girls and women (aged 15-19 and 20-24) who were subjected to sexual violence before age 15 by any persons

DHS + VAW surveys UN-Women, UNICEF and UNSD II √ √ √

5.2 Number of detected and non-detected victims of human trafficking per 100,000; by sex, age and form of exploitation

Administrative data from law enforcement institutions/Field studies

UNODC II √ √ √

5.4Average weekly time spent in water collection (including waiting time at public supply points), by sex, age and location

Household surveys UN-Women and UNICEF III √ √ √ √ √

5.4 Proportion of pre-school children who are in early childhood care and education (ECCE) programmes Household surveys UNICEF III √ √ √ √ √

5.5

Proportion of women in leadership positions in political, economic and public life, by level and by type (leadership positions include the executive (Heads of State and Governments, ministers and local governments), legislative (national parliaments), judiciary and law enforcement (judges and police officers), and managers in public and private sector entreprises)

Administrative + household surveys

IPU, UN-Women, UNODC, UCLG and ILO I

5.5 Share of female researchers, by seniority level Administrative UNESCO I √

5.a(a) Percentage of people with secure rights over agricultural land (out of total agricultural workers), by sex; and (b) Percentage share of women among owners or rights-bearers of agricultural land” by type of tenure

Agricultural census and surveys FAO, UNSD, UN-Women III √ √ √ √

5.c Expenditure on gender equality policies as a percentage of total government expenditures Administrative sources UN-Women III

Monitoring GEWE in other goals – Limited traction beyond sex disaggregation

• Limited traction when list of indicators limited to one priority indicator per issue, unless target is specifically about gender (e.g. MMR, SRH, equal pay)

• At best sex-disaggregation, but little by way of prioritizing indicators that address other important gender concerns• e.g. TG 3.9 addresses air pollution, but no traction for

indoor air pollution• e.g. Indic proposed for TG 4.2 measures 5 year-old children

‘developmentally on track’ but participation in childcare unaddressed • e.g. Indic for TG 11.7 measures built up areas of cities, but

completely leave safety aspect unaddressed (e.g. physical and sexual harassment against women and girls)

• Issues that are part of targets but are simply ignored: e.g. TG 4.7

Back to process: Still many unknowns

• What happens now that open consultation phase is over? Lots of inputs and differences to reconcile before 2nd IAEG-SDGs?• Discussions happening at regional level, sometimes led by

Regional Commissions – links to the current IAEG process?• If priority criterion is kept, what to do with non-priority

indicators? (keep them for expanded set of thematic indicators?)• How to ensure no one left behind but avoid ‘disaggregation

fatigue’ important role for thematic monitoring?

Better production and use of gender statistics for evidence-based localization of the SDGs

• Ambitious new flagship programme initiative from UN Women: 3 objectives:• Address weak policy space and

legal and financial environment to produce gender statistics at national level

• Address technical challenges within National statistical systems that limit the production of gender statistics

• Address lack of access to data and limited capacity on the part of policymakers and other users to analyse them to inform policies

Opportunities for collaboration

1. Supportive policy environment in place to ensure gender-responsive localization and effective monitoring of the SDGs

•Outputs1.1. An assessment of gender statistics and identification of gaps is conducted at the national level

1.2. Enabling legal frameworks, institutional arrangements, and adequate resources for gender statistics are in place

1.3. National plans to localize gender-related SDGs targets and indicators are developed

2. Quality, comparable and regular gender statistics are available to address national data gaps and meet policy and reporting commitments under the SDGs, CEDAW and Beijing •Output

2.1. Capacity of the national statistical system (NSS) strengthened to compile Tier I indicators in the minimum set and SDGs

2.2. Capacity of the NSS strengthened to collect Tier II indicators in the minimum set and SDGs

2.3. Capacity of the NSS strengthened to produce Tier III indicators in the minimum set and SDGs

3. Gender statistics are accessible to all users (including governments, civil society, academia and private sector) and can be analysed to inform research, advocacy, policies and programmes, and promote accountability •Outputs

3.1. Increased dissemination of data at national, regional and global levels

3.2. User-producer dialogues institutionalized to increase accessibility, quality and demand for gender statistics

3.3. Capacity of civil society, government and other actors to use and analyse and use gender statistics to inform decision-making is strengthened