Global review of gender statistics

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Global review of gender statistics

• Key findings in UNECE Region

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Objectives of the survey

• Review gender statistics in national statistical
  systems
• Understand how gender statistics are mainstreamed
  in NSO, in all areas of statistics
• Identify good practices and challenges in
  integrating gender into the production and use of
  statistics

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Survey characteristics

• 52 countries surveyed
• 24 replied (46)
• Expect more response for inclusion in the final
  report

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Respondents

• Montenegro
• Moldova
• Romania
• Serbia
• Slovakia
• Tajikistan
• Turkey
• United Kingdom

• Armenia
• Austria
• Azerbaijan
• Belgium
• Canada
• Croatia
• Denmark
• Finland

• Georgia
• Hungary
• Iceland
• Ireland
• Kazakhstan
• Kyrgyzstan
• Latvia
• Lithuania

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1. Institutional arrangements
1.1 Organisational structures
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1. Institutional arrangements
1.1 Organisational structures
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1. Institutional arrangements
1.1 Organisational structures
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1. Institutional arrangements
1.1 Organisational structures
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1. Institutional arrangements
1.2. inter-ministerial mechanisms
() Official coordination bodies include national
statistical offices, independent working group
and inter-ministerial commission on equal
opportunities for men and women.
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1. Institutional arrangements
1.2 inter-ministerial mechanisms
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2. Production of gender statistics
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3. Addressing users needs

• 16 countries mentioned having a dialogue
  mechanism with users

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4. Assessment of mainstreaming gender in National
Statistical System
These documents provide the overall objectives of
gender statistics mainstreaming in national
statistical systems.
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4. Assessment of mainstreaming gender
Enhancing factors Political commitment
Strategic/Development plans Capacity
enhancement (infrastructure and
knowledge)Systematic gender approach in data
production (incl. Cooperation with other data
producers). Dialogues with stakeholders
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4. Assessment of mainstreaming gender

• Challenges in achieving the objective
• Limited political support
• Difficulties in coordination with other data
  producers
• Insufficient integration of gender in Statistical
  Programme
• Unsuitability of administrative sources
• Limited financial and human resources, and
  expertise

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4. Assessment of mainstreaming gender
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• Thank you!