About
We work to ensure that everyone is mapped and counted in decision making. We develop geospatial integration methods to make detailed demographic datasets. Our work features in Nature, Science, and the Proceedings of the National Academy of Sciences.
Our datasets are used by governments, international agencies, academia, NGOs and the private sector. We work closely with the United Nation agencies and national statistical offices in low and middle-income countries. Our approaches are designed to maximise uptake and impact, and to strengthen local capacity.
Our work focus areas for development and implementation cover population distributions, demographics and dynamics in resource-poor settings. Our geostatistical modelling integrates data from traditional sources including censuses, and satellite and cellphone datasets.
We produce high resolution maps of:
- age/sex structures
- births
- poverty
- access to services
- vaccination coverage
We also develop modelling frameworks for subnational migration flows, urban change and disease spread.
WorldPop is made up of more than 30 members of staff, including demographers, geographers, ecologists, statisticians, epidemiologists and computer scientists.
Principal funders and collaborators include:
- Gates Foundation
- Foreign, Commonwealth and Development Office (FCDO)
- World Bank
Mapping tomorrow’s population distribution
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Targeting childhood vaccines globally
WorldPop, a research group led by Professor Andy Tatem, is revolutionising global health efforts by enabling governments to vaccinate children who were previously unreachable. -
Population mapping saves lives
A University of Southampton research group is using new ways of mapping and counting populations to help developing countries. WorldPop's datasets have helped to eradicate polio in Nigeria and assist earthquake victims in Nepal.
People, projects and publications
People
WorldPop complements traditional population data sources with dynamic, high-resolution data from satellites, surveys and cellphones to map human population distributions at high resolution, with the ultimate goal of ensuring that everyone, everywhere is counted in decision making.