UN launches Data Commons platform built with Google
The UN system has launched an open-source data platform built on Google's Data Commons, bringing UN statistics together in one AI-ready knowledge graph that people can query in plain language or through AI agents.
The United Nations system has launched the UN System Data Commons, an open-source platform built on Google's Data Commons. Google announced the launch, and Google.org funded the project through a grant to the UN Foundation.
The platform targets a long-standing problem. Statistics from different UN organizations, and sometimes from within a single organization, have been kept in separate silos with conflicting formats. According to Google, analysts often spent months combining the data by hand before analysis could begin. The new platform automatically maps metrics, timelines, and geographic boundaries into a single interconnected knowledge graph.
Users can type questions in plain language and get back data and interactive charts. Google gave examples such as how rural access to clean water affects school attendance, and how life expectancy has changed across regions. An Explore tab lets users filter by location or theme, such as health or education. A Blog section offers written reports, including one that uses UNICEF data on reducing child poverty. Google says UN system statisticians and technical experts validate every dataset.
The platform also supports open standards such as the Model Context Protocol (MCP). This lets AI agents pull official figures from it, combine data across topics, and produce charts, infographics, or draft reports. Google's post still advises users to check the underlying sources before citing critical figures.
The UN system plans to keep adding datasets from more UN entities over the next year. Its goal is to cover 80% of UN system statistical datasets by 2027. The post does not say how many datasets or entities are included now. The platform is available at data.un.org.