Leveraging Household Surveys to Close the Gender Data Gap

Demand for high-quality gender statistics is increasing, driven by international frameworks and national development strategies. Yet substantial gaps persist in the availability of gender-disaggregated data. This advanced course, held in Perugia (Italy) on 20-24 May, 2024 covered the context and motivation for improving gender statistics and individual level data.

The course provided an overview of best practices in questionnaire design, respondent selection, sampling, and fieldwork considerations to collect accurate data reflecting gendered patterns in work and employment, education, health, agriculture, asset ownership, time use, and other topics, anchored in the latest international guidelines.

  • Duration

    40 hours

  • Tools

    Stata

  • Training typology

    Onsite

  • Certification

    Only for onsite trainees

What's included?

  • Videos
  • Text materials
  • Assessment
  • Certification
  • Forum discussion

Learning Objectives

  • Understand the landscape of gender data gaps and global initiatives. 
  • Apply best practices in gender-disaggregated survey data collection. 
  • Utilize survey data for analysis, visualization and data-driven storytelling.  

Who we were looking for

Mid-level to senior officials in statistics offices or ministries involved in statistics production.  

Our tRAINERS

Meet our core team

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Heather Moylan

Senior Economist, Development Data Group, Development Economics

Amparo Palacios Lopez

Program Manager, The World Bank's Living Standards Measurement Study 

Miriam Muller

Senior Social Scientist with the Poverty and Equity Global Practice

Anna Tabitha Bonfert

Data Scientist with the World Bank Gender Group

Our partners