WorldPop COVID-19 research
Publications and datasets to support the global response to the ongoing COVID-19 pandemic.
WorldPop develops peer-reviewed research and methods for the construction of open and high-resolution geospatial data on population distributions, demographic and dynamics, with a focus on low and middle income countries.
Integration of geospatial datasets in open modelling frameworks to map population distributions at high spatial resolution and over time.
Research into subnational patterns of key indicators, including births, treatment seeking, service utlization and vaccination coverage.
Open access spatial demographic datasets built using transparent approaches.
High spatial resolution, contemporary data on human population distributions are a prerequisite for the accurate measurement of the impacts of population growth, for monitoring changes and for planning interventions. WorldPop aims to meet these needs through the provision of detailed and open access population distribution datasets built using transparent approaches.Read more »
WorldPop is a core partner of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) program.
Global subnational age and sex structured estimates for 2020 obtained through integrating census, microdata and survey datasets in a spatiotemporal modelling framework.
The WorldPop Program Application Programming Interface (API) provides researcher and software developers access to WorldPop data.
Use this platform to spur innovation from other teams and stay on top of the latest technology. Utilizing open standards, interoperability, data, APIs, and code can connect you directly your data's community. Details