Do you understand how to use and improve VAWG data?

Improve VAWG data

Improve VAWG data

Improving data on violence against women and girls (VAWG) is essential for addressing this critical global issue which has negative effects on women, their families and communities. High-quality, comparable data on different types of VAWG is crucial for understanding the extent and nature of violence, supporting evidence-based policies and programmes to prevent and respond to it, advocating for change and tracking progress. Efforts to improve VAWG data have gained momentum globally, with an increasing number of countries investing in data to prevent and address violence against women. Recent initiatives like the UN Women – WHO Joint Programme on Violence against Women Data, the UNFPA-DFAT kNOwVAWdata, and Spotlight Initiative offer useful lessons on how to improve data collection.

Guiding Principles
  • Survivor-Centred Approach
  • Do no harm approach
  • Leave No One Behind, Equity and Non-Discrimination
Spotlight Initiative

Approach and Learning

Spotlight Initiative Pillar 5 (Data) focuses on improving data on VAWG. Key approaches and learning from this work include:

  • Establishing and strengthening national databases to track the prevalence of different forms of violence and harmful practices in line with global standards: Spotlight Initiative has also focused on producing validated and comparable VAWG data, in line with international standards. As part of this, Spotlight Initiative aims to improve data disaggregation by income, sex, age, ethnicity, disability and geographic location at a minimum, as part of its Leave No One Behind principle. 34 countries have developed methodologies to produce national-level data on violence against women and girls, and 765 national statistics officers have strengthened their ability to produce prevalence data. For example, in Argentina, Spotlight Initiative has worked with national partners to harmonise the gathering and measurement of national femicide data.
  • Support administrative data platforms and coordinated service delivery registries: Spotlight Initiative has supported the development of robust data collection systems for administrative data by building capacity, mapping gaps in data collection, and improving data capture solutions. In 2022, 71% of targeted countries improved their systems for collecting administrative data on VAWG. For example, the Africa Regional Programme developed a training course on data literacy about VAWG, as well as conducting workshops in Ghana, Kenya and Senegal for professionals from governments, academia, and civil society.
  • Supporting research studies on VAWG: Spotlight Initiative has improved VAWG data through funding research studies on the patterns, causes and consequences of different forms of violence. In Trinidad and Tobago, Spotlight Initiative completed a study on the economic costs of family violence on the national economy with the aim of producing data to support the evidence-based design of programmes. Spotlight Initiative also prioritised high-quality research on the underlying causes of VAWG, thereby helping to understand the current practices that underlie prevalence data. For example, in Haiti, Spotlight Initiative supported a study identifying factors contributing to violence against women and girls, informing the ‘Pathways for a Prevention’ strategy that will feed into the national prevention model and education programme.
  • Developing new technologies and applications to improve data collection and analysis. For example, in Malawi, Spotlight Initiative improved the Kuwala Knowledge Management Platform, enabling better tracking and visualisation of monthly trends in violence, and integrating it with the Data Observatory Hub for real-time data syncing.

Top Tips

How to improve VAWG data - top tips based on learning from the wider sector.

Click a tip for more information.
Identify what data you want to improve
Ensure adequate funding and resources
Coordinate with and engage multiple stakeholders
Carefully select and train the data collection team
Pilot and test data collection tools
Put in place ethical processes