This presentation was made by Liliana Suchodolska , at the 3rd Experts Meeting on Gender Budgeting held at the OECD Conference Centre, Paris, on 19-20 September 2019

1. MAKING EVERY WOMAN
AND GIRL COUNT
ASSESSING AND ADRESSING GENDER
DATA GAPS
Liliana Suchodolska, PARIS21
20 September 2019

2. CONTEXT
1

3. 3
PARTNERSHIP IN STATISTICS FOR
DEVELOPMENT IN THE 21ST CENTURY
• Building and sharing knowledge
• Engaging in international initiatives
• Advocating and funding statistics
• Strengthening statistical systems

4. 4
PARIS21 AND UN WOMEN
DATA AND CAPACITY GAPS:
• Only 14 of 54 gender-specific SDG indicators have sufficient and regular data
(“Making Every Woman and Girl Count. 2018 Annual Report. Implementation
Phase”)
• Only 13% of countries dedicate a budget to gender statistics (2013 Report of
the Secretary-General on Gender Statistics)

5. 5
IMPROVING CO-ORDINATION AND PLANNING
IN COUNTRIES OF GLOBAL SOUTH
Gender statistics assessments to identify data and
capacity gaps using PARIS21 tools & national
consultation
PARIS21’s Framework and Implementation
Guidelines for assessing the state of gender
statistics launch October, 1st
COOPERATION PARIS21-UN WOMEN

6. HOW DO WE RUN
THE COUNTRY
ASSESSMENTS?

7. 7
FRAMEWORK + GUIDELINES
Integrating
gender in
national
statistical
strategies
Statistical
capacity
gaps
Data
gaps
4 x

8. 8
• Assessment findings help develop statistical strategies to strengthen the
national statistical capacity i.e. through National Strategies for the
Development of Statistics (NSDS)
• Assessment findings must be considered as a foundation to formulate the
strategy that carries political weight and requires both the endorsement and
active participation of decision makers.
NATIONAL STRATEGIES FOR THE
DEVELOPMENT OF STATISTICS (NSDS)

9. HOW DO WE ASSES
DATA GAPS?
2

10. 10
We focus on:
- National priorities originating from national policies and
country commitments
- 54 gender-specific SDG indicators identified by UN Women
- The Minimum Set of Gender Indicators prepared by IAEG-
GS
THERE ARE MULTIPLE NATIONAL,
REGIONAL AND INTERNATIONAL DEMANDS
FOR GENDER STATISTICS

11. 11
• A free cloud-based application to help data planning
• Managed by National Agencies: content, access
• Available in English, French, Spanish, Russian + other languages
• Supported by a learning / training package
ADVANCED DATA PLANNING TOOL
(ADAPT)

12. 12
WHAT IT DOES:
• Monitors data demands from public policies
• Inventory of available data – sources and indicators
=> identify data gaps (incl. disaggregation)
• Monitors NSDS / action plans progress
• Helps in costing & budgeting
• Helps preparing policy responsive data systems
WHAT IS DOES NOT: data processing, dissemination of
indicators
ADVANCED DATA PLANNING TOOL
(ADAPT)

13. 13
• Both sex-disaggregated and gender-relevant indicators (e.g. maternal
mortality) are considered
• Allows users to see all gender-related data being produced across
the national statistical system
• Identifies data gaps related to gender statistics and guides the
development of a data plan to solve them
• Maps gender statistics demand from global (e.g. SDGs) and national
policies to identify consistency and possible overlaps.
THE GENDER MODULE IN ADAPT

14. 14
IN THE ADAPT PLATFORM

15. 15
IN THE ADAPT PLATFORM

16. 16
Three main reports are being developed:
1. 54 gender-specific SDG indicators
2. Other national priority indicators that are gender-relevant
• Will take into account the information from different log frames/lists
of indicators
• Will report on all indicators that require sex-disaggregation or that
have been tagged as gender-relevant
3. Minimum set of gender statistics (optional)
They will include a view on: Demand (policy relevance), supply
(currently produced indicators), data sources and responsible
institutions as well as feasibility of producing the data.
GENDER REPORTS

17. 17
Development: Currently costing refers to the costing of activities for the
data plan of the National Strategy for Development of Gender Statistics
(“sectoral” component of NSDS)
Other examples of tools:
• StaTact (UNITAR)
• EPIC (UN ESCAP)
• RIME (INE Bolivia)
• Etc.
FURTHER DEVELOPMENTS AND
OTHER TOOLS
Different methodologies
(upstream, downstream),
focus and scope

18. ASSESSING
CAPACITY GAPS
3

19. 19
The identified data
gaps are linked to the
capacity gaps
uncovered using
PARIS21 approach to
statistical capacity
development:
“CD4.0”
ASSESSING CAPACITY GAPS

20. 20
We apply four questionnaires assessing different capacities, designed for
different national stakeholders and data users in the country:
• Questionnaire A – CD4.0 organisational and systemic level (e.g. “Is there a
dedicated budget specifically for gender statistics within the overall national budget for statistics (it
can include the gender statistics entity operational costs)?”
• Questionnaire B - CD4.0 individual level
• Questionnaire C – non-NSO agencies producing statistics
• Questionnaire D – users (can be used as an online survey)
ASSESSING CAPACITY GAPS

21. 21
ASSESSMENT STEPS AND ACTORS
Integrating
gender in
NSDS
Validation
workshop
Statistical
capacity
gaps
Data
gaps
Inception
workshop
Data-planning
expert from NSO
Gender-statistics
expert
NSDS focal
person
All stakeholdersAll stakeholders
Assessment

22. 22
PILOT COUNTRIES
2019 2019/2020
COUNTRY STATUS COUNTRY STATUS
Dominican
Republic
On-going Jordan Confirmed
Maldives On-going Bolivia Confirmed
Senegal On-going Cambodia Confirmed
Egypt On-going Rwanda Pending
Kyrgyz Republic On-going
9 countries
over
2019-2020

23. THANK YOU
Visit: https://paris21.org/
E-mail: liliana.suchodolska@oecd.org

24. 24
ADAPT: WORLDWIDE USERS
Used by NSOs (and NSS) in 16 countries: Bhutan, Cambodia, Cameroon, Dominican
Republic, Kyrgyzstan, Maldives, Mongolia, Philippines, Rwanda, Senegal, Tanzania
With UNSD (Ongoing): Burundi, Liberia, Nepal, Zambia, Zimbabwe; Planned by UNSD: Bangladesh,
Ghana, Jordan, Lao PR, Mozambique, Myanmar, Palestine
Big demand from NSOs and Planning Commissions
Promoted by:
• UNSD for SDG readiness assessment – methodology compatible
• UNDP for SDG localization and UNITAR
• World Bank for data planning