Our World in Data occupies a unique position in the data landscape: a free, meticulously maintained repository of global development statistics that bridges the gap between raw institutional databases and analysis-ready datasets.
The project, based at the University of Oxford, aggregates data from WHO, the World Bank, UN agencies, peer-reviewed research, and national statistics agencies — cleaning, harmonizing, and documenting hundreds of datasets so that analysts can spend time on analysis rather than data wrangling. For any major global indicator, OWID has likely already done the work of collecting, standardizing, and reconciling multiple sources.
For GIS analysts, the practical value is in choropleth mapping. An OWID dataset on CO₂ emissions per capita, vaccination rates, or child mortality comes pre-cleaned with ISO country codes that join directly to any standard country boundary file. What would take hours of data sourcing and cleaning becomes a five-minute workflow: download CSV, join to shapefile, map. Coverage typically spans decades, enabling historical comparison maps with minimal additional work.
The data catalog is particularly strong for topics that involve synthesizing multiple international sources. Energy data combines IEA, BP Statistical Review, Ember, and Shift Project numbers into consistent time series. Climate data merges IPCC, Berkeley Earth, and NASA GISTEMP. Health data harmonizes WHO, IHME, and national health surveys. This synthesis would otherwise require significant institutional knowledge about which sources to trust and how to reconcile their differences.
All datasets are available as CSV downloads with documentation, and OWID maintains a GitHub repository with full version history. The REST API allows programmatic access for dashboard applications that need to pull updated data automatically.
