Introduction:

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Purpose

The primary purpose of Our World in Data (OWID) is to present reliable, evidence-based research and visual data on major global challenges such as poverty, education, health, energy, environment, and technological progress. It was created to make complex, long-term global trends accessible to researchers, students, and policymakers through open, interactive visualisations and datasets.

The platform aims to bridge the gap between academic research and public understanding by transforming raw data into comprehensible formats. By offering free access to visualised data accompanied by detailed explanations and methodological transparency, OWID promotes informed public discourse and supports evidence-based decision-making.

Its core mission is not only to document the state of the world but to highlight measurable progress over time, thereby encouraging data-driven optimism and constructive global action. Through its open-data philosophy, it fosters collaboration across academic, journalistic, and educational communities.


Release Date

Our World in Data was launched in 2011 by economist Max Roser at the University of Oxford. It initially began as a small academic project within the Oxford Martin Programme on Global Development and evolved into an independent non-profit organisation.

Over the years, the platform has undergone continuous development in both design and content scope. In 2019, OWID became part of the Global Change Data Lab (GCDL), a registered charitable organisation that manages its infrastructure. The platform now includes datasets updated daily or weekly from trusted international sources such as the United Nations, World Bank, WHO, and IMF.


Features

Our World in Data is distinguished by several features that make it a vital data dissemination and analysis resource:

  1. Interactive Visualisations: All datasets are represented through charts, maps, and time-series graphs that can be customised and downloaded.
  2. Open Access Datasets: Every dataset is available in open formats (CSV, JSON, XLSX) for free download and reuse.
  3. Source Transparency: Each visualisation includes clear citations and links to the original data sources.
  4. Comprehensive Coverage: Topics include demography, health, environment, energy, food, inequality, technology, and global governance.
  5. GitHub Integration: Datasets and code are maintained publicly on GitHub for community validation and reuse.