Improving gender data to leave no one behind

May 02, 2023
  • Description

Development Initiatives (DI) works with partners and allies to strengthen the quality and use of data and evidence that can inform decision-making to tackle poverty and inequality in all its forms. We have conducted several independent projects focusing on gender data and this briefing presents key challenges we have encountered in that process alongside opportunities we have identified to improve the gender data landscape. Strengthening this landscape is an intentional focus of DI's work going forwards, supporting the use of robust evidence to understand and reduce gender inequalities.

Gender data is:

  • Collected and presented by sex and/or gender as a primary and overall classification, allowing inequalities between different genders to be identified.
  • Reflective of gender issues, including, for example, gender-specific healthcare needs, gender-based violence (GBV), and gendered economic and political participation.
  • Based on concepts and definitions that adequately reflect the diversity of people of different gender identities and capture important aspects of their lives.
  • Developed through collection methods that recognise how stereotypes and social and cultural factors may introduce gender bias in the data.

DI's definition of gender data is adapted from the UN Statistics Division (UNSD) and Data2X to include the representation of individuals of all gender identities.