[Addis Ababa, Ethiopia] World Data Lab (WDL), in partnership with the Mastercard Foundation, is pleased to announce the Ethiopia launch of the Africa Youth Employment Clock on August 13, 2024.

According to WDL projections, Africa will experience its highest-ever youth population growth in this decade (2021-2030), with the population projected to increase by almost 100 million between 2023 and 2030. Against this backdrop, enabling young people in Africa to access dignified and fulfilling work is more important than ever and a collective, renewed impetus underpinned by credible data is needed to achieve this.

The Africa Youth Employment Clock will support and inform the journey to more inclusive African labour markets through cutting-edge data modeling and visualization. This labour market model monitors real-time job growth and forecasts employment trends in Africa, disaggregated by key variables such as employment status, age, gender, and sector up to 2030. The first of its kind, the Clock is poised to become a go-to place for comprehensive youth employment data in Africa. It is intended to inform the strategic decision-making of policymakers, development actors, and other youth and labor ecosystem stakeholders. The Clock draws from surveys and datasets made available by national statistics offices, the International Labour Organization (ILO), and the International Institute for Applied Systems Analysis (IIASA)."

The Clock is a user-friendly, publicly available digital tool that can be accessed at www.africayouthjobs.io. Country-level youth employment data is available for all 54 African states, while sub-national data is currently available for Ethiopia, Ghana, Kenya, and Rwanda. Over time, access to sub-national data will expand to include Nigeria and Uganda, countries where the MasterCard Foundation supports country-based programs. The Clock’s data analytical model draws from surveys and datasets made available by national statistics offices and international sources. WDL’s methodology is peer-reviewed and enables consistent, comparable data across countries.