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Summary of Mainstreaming the Gender Perspective in Statistical Production in Latin America and the Caribbean

This document outlines a comprehensive framework for integrating the gender perspective into official statistical production in Latin America and the Caribbean, based on research and experience from regional countries. It emphasizes the necessity of an intersectional approach to address diverse forms of discrimination. Below is a structured summary of key recommendations and actions across the phases of statistical production:

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Policy and Conceptual Framework

• International and Regional Mandates: Align statistical production with international standards (e.g., SDG Goal 5) and regional frameworks like the Montevideo Strategy to ensure comprehensive gender equality monitoring.
• Conceptual Structures: Develop thematic frameworks (e.g., women’s autonomy, intersectionality) to guide statistical production and analysis.
• National Legal Frameworks: Incorporate gender mainstreaming into national laws and policies, ensuring sufficient budget allocations for gender statistics.

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Cross-Cutting Recommendations

Inclusive Language and Rights-Based Approach

• Use gender-neutral language in all stages of the statistical process and ensure violations of rights (e.g., gender violence) are explicitly tracked.

Training and Sensitization

• Conduct gender-awareness training for statistical staff and involve gender specialists throughout the process.

Gender Specialist Advisory Services

• Consult with gender experts to eliminate biases in data collection, processing, and interpretation.

Sex Disaggregation and Intersectionality

• Disaggregate statistics by sex and integrate intersectional variables to capture diverse women’s experiences.

Strengthened Dialogue

• Foster coordination mechanisms between national statistical offices, gender machineries, and civil society to ensure accessibility and relevance.

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Phases of the Statistical Business Process

1. Specify Needs (Phase 1)

• Consult national and international mandates (e.g., treaty bodies, CAUTAL) and users to define clear gender-focused objectives.
• Identify gaps in current data and prioritize inclusion in surveys, censuses, and administrative records.

2. Design (Phase 2)

• Define variables with unambiguous gender concepts and codes, with gender units for collecting household or population data.
• Design instruments with inclusive language and standardized protocols for surveys.

3. Build (Phase 3)

• Build tools with gender-specific features (e.g., inclusive language, privacy safeguards for sensitive topics) and conduct cognitive interviews.

4. Collect Data (Phase 4)

• Use mixed data collection methods (censuses, surveys, administrative records) and protocols ensuring diverse samples (e.g., female surveyors for gender violence data).

5. Process (Phase 5)

• Apply sex-disaggregation in weighting, editing rules, and metadata to develop indicators (e.g., gender gaps, unpaid work statistics).

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Challenges and Opportunities for Improvement

• Implementation Gaps: Limited institutional capacity, inadequate funding, and variability in national frameworks.
• Opportunities: Leverage administrative records and big data for inclusivity; standardize protocols through regional initiatives like the Gender Equality Observatory.

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Resource Mobilization

• Advocate for stable national funding mechanisms (e.g., budget tracers) to overcome dependency on international aid.

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Conclusion

Mainstreaming the gender perspective requires legal commitments, institutional capacity, and integrated approaches across all statistical phases. This framework supports evidence-based policymaking to achieve substantive gender equality.