Equilo draws from a robust set of hundreds of existing, publicly available quantitative people analytics data sources. We harness big data and the power of technology to instantly translate an ocean of data for users to quickly understand what matters.
Equilo aggregates, synthesizes, and analyzes this big data—work that is typically performed manually by specialists, significantly reducing your workload and fast-tracking your results with instant analysis. No other platform currently exists that provides this service.
Equilo draws upon hundreds of internationally validated and open source databases and reports to populate data in the Contextual Analysis, Global Analysis, Data Explorer, and GBV Risk Score tools.
✦ World Bank Open Data, Women, Business, and the Law, Gender Statistics, and Global Financial Inclusion databases
✦ DHS Program Demographic and Health Surveys
✦ ILO ILOSTAT database
✦ UNESCO UIS.Stat database
✦ IFC MSME Finance Gap database
✦ UNICEF database
✦ WHO Global Health Observatory
✦ UNDP Global Multidimensional Poverty Index and the Gender Social Norms Index
✦ UNODC database
✦ ITU ICT SDG indicators data
✦ GIWPS Women, Peace, and Security Index
✦ UNAIDS AIDSinfo database
✦ FAO FAOSTAT database
✦ UN Statistics Division Global SDG Indicators Database
✦ U.S. Department of State report, 2020 Trafficking in persons report
✦ ILO report, Care work and care jobs for the future of decent work
✦ ILO/Gallup report, Towards a better future for women and work: Voices of women and men
Equilo contextualizes country-level and sector-specific quantitative data with high-level, qualitative overviews explaining the linkages for a specific theme or TAAP domain. These overviews are currently limited to broad global trends with deep-dives into specific thematic areas, pulling in country-specific examples and case studies where possible.
All of Equilo's data sources undergo a rigorous validation process before they are used in analysis and included on the dashboard. Sources must comply with the following:
Be from a reputable author (e.g., a recognized organization, a peer-reviewed journal, or an expert in the field);
Have rigorous methodology and/or well-cited sources for the data provided;
Reflect excellent and relevant analysis or data (specifically discussing these issues and including the most recent information available).
Equilo’s team draws upon non-English language sources for quantitative and qualitative research, although the majority of our research is currently conducted in English. We plan to increase multilingual research capability as we grow.
To further extend your research , Equilo built and maintains a robust Super Gender Resource Library (SuperGIRL), a curated collection of thousands of open-source publications, reports, journal articles, toolkits, data sources, guidelines, and more. This collection compiles resources from reputable organizations and scholars and is one of our primary sources of qualitative research that we use to scale our tool internally.
Equilo has built a fluid and dynamic framework that can be continuously updated. To date, researchers and data scientists at Equilo have reviewed dozens of quantitative data sources to select the most valid, high-quality indicators and data to power Equilo's analysis.
Data availability is constantly changing. The Equilo team welcomes suggestions to add data sets and indicators. Collaborating and sharing data improves outcomes for everyone. If you have a data set or indicator that Equilo should consider including, please email us at hello@equilo.io.

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