Impactby World Data Lab

Our Partners

Impact happens in partnership.

We actively collaborate with foundations, UN agencies and development institutions to deliver impactful insights and data-driven solutions. Our partnerships let us provide timely expertise, exclusive data access and tailored support to those we work with.

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Trusted by leading institutions

Mastercard Foundation
United Nations
World Bank
GIZ
European Commission
Brookings Institution
OECD
Internet Society Foundation

Partnerships

Who we build with.

Mastercard Foundation logo

Mastercard Foundation

Youth employment · Gender · Inclusive growth

World Data Lab works in close partnership with the Mastercard Foundation, through its Africa-based collaboration, on a wide-ranging programme of data-driven research focused on employment, gender, and inclusive economic opportunity. This partnership combines World Data Lab's global economic and demographic modelling with the Foundation's deep commitment to advancing youth employment and gender equity across the African continent.

At the core of the collaboration is a shared objective: to generate rigorous, actionable insights that help governments, institutions, and development partners better understand labour markets, workforce participation, and the evolving role of women and young people in Africa's economies. The partnership spans multiple initiatives, supporting long-term planning, policy development, and evidence-based decision-making to drive inclusive growth at scale.

Mastercard Center for Inclusive Growth logo

Mastercard Center for Inclusive Growth

Thought leadership · Financial health

World Data Lab collaborates closely with the Mastercard Center for Inclusive Growth to advance a shared vision of inclusive prosperity through data-driven insights, thought leadership, and strategic engagement. Together, we position the Center at the forefront of global conversations on inclusive growth and financial health, showcasing insights at major convenings such as the ASEAN Summit and the Global Inclusive Growth Summit.

Our collaboration includes high-level thought leadership, such as co-authored pieces in the Harvard Business Review and other global platforms, as well as data and strategic advisory supporting the Center's work on the middle class and financial health.

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European Space Agency (ESA) logo

European Space Agency (ESA)

AgeSpot · Granular demographics

The European Space Agency (ESA), an intergovernmental organization of 22 member states, has funded World Data Lab's ongoing AgeSpot project, developed in collaboration with GeoVille, the managing partner of the consortium.

By applying new modelling techniques to a range of data, AgeSpot models and forecasts demographic information — specifically, population distribution by age group — at a very granular level. Read more about the work in this Brookings article.

GIZ & BMZ logo

GIZ & BMZ

World Poverty Clock · Water Scarcity Clock

World Data Lab received funding from the German Corporation for International Cooperation GmbH (GIZ) to underwrite the development of the World Poverty Clock (linked to the UN's Sustainable Development Goal 1) and the Water Scarcity Clock (linked to Sustainable Development Goal 6).

In addition to working with national and supranational government organizations, GIZ mainly implements technical cooperation projects of Germany's Federal Ministry for Economic Cooperation and Development (BMZ), who also supported World Data Lab's Poverty and Water Clock projects.

IFAD logo

IFAD

World Hunger Clock · Disaggregated poverty data

The International Fund for Agricultural Development (IFAD), a specialized UN agency dedicated to eradicating rural hunger and poverty, is supporting an upgrade of the World Poverty Clock (linked to the UN's Sustainable Development Goal 1) to allow for data disaggregation by age, gender, and location (rural vs urban), painting a holistic picture of vulnerable populations across the globe.

IFAD is also underwriting the creation of the World Hunger Clock (linked to the UN's Sustainable Development Goal 2), a project which aims to establish a consistent and forecastable approach to modelling hunger for every country in the world.

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