The Geospatial Data & Analysis Center is lead by WorldPop at the University of Southampton, UK and is focused on geospatial data integration to improve the spatial demographic and health evidence base in low- and middle-income countries.

Over the past 15 years, WorldPop has developed open approaches to complement datasets from census and surveys with data from satellites, mobile phones and GPS to improve the spatial detail and timeliness of outputs. In the reproductive, maternal, newborn, child and adolescent health and nutrition (RMNCAH+N) field, WorldPop has developed approaches to estimate and map births, pregnancies and women of childbearing age, access to care, and the coverage of interventions and services.

The Geospatial Data & Analysis Centre will focus on three interlinked outcomes with corresponding activities.

  • Increasing awareness of geospatial methods and datasets among partners by:
    • Showcasing geospatial methods and mapping through meeting presentations and webinars.
    • Building a repository of datasets relevant for monitoring subnational RMNCAH+N in the context of GFF investment cases.
    • Developing guidelines and tools on geospatial methodologies relevant to monitoring that can be applied and adapted to country needs.
  • Supporting Countdown country partnerships with geospatial analyses, as determined through discussions with Countdown partners. This may consist of in-country support through technical assistance and capacity strengthening, including contributing to national reports, face-to-face workshops or online training on subnational and gridded denominator estimation, mapping or both as requested.
  • Research and development on new geospatial methods, insights and datasets to meet the call for district-level insights, together with the use of routine facility data. This will follow on and build from existing active WorldPop research and development.




Background Resources and Materials

This webinar presents an overview of available datasets and examples of how to use geospatial data to advance Countdown's agenda. Though not published as a Countdown to 2030 activity,  this journal supplement  published in BMJ Global Health in 2020 reviews use of geospatial data in reproductive, maternal, newborn, child, and adolescent health programs.

Some available geospatial datasets relevant to Countdown's activities include:


Tools & Resources

The peanutButter web application allows you to produce gridded population estimates using your own estimates of people per building. This is a quick and simple approach that utilizes high resolution maps of building footprints.



woprVision is an interactive web map that allows you to query population estimates for specific locations and demographic groups from the WorldPop Open Population Repository

Learn more about woprVision.



The WorldPop Demographics tool allows the visualization of population structure in any given country.


The WorldPop Data Portal allows users to query and download rasters produced by the WorldPop research group. The tool allows the delineation of areas to query, returning zonal statistics. The size of the query area is limited to 100,000km2. Should you wish to download national-level data, please visit the WorldPop data repository






ArcGIS has created a series of blog posts to describing how to use WorldPop’s 1-km gridded population layers with the mapping software.


In this one-hour webinar, Andy Tatem, Natalia Garavito, and Winfred Dotse-Gborgbortsi from WorldPop at the University of Southampton present an overview of available resources for incorporating geographical data into evaluation of reproductive, maternal, newborn, child and adolescent health and nutrition (RMNCAHN). Although intended as in internal presentation for Countdown to 2030 partners, the webinar may be of interest to others who are trying to improve their knowledge of geospatial resources for RMNCAHN.

In this 20 minute webinar clip, Professor Andy Tatem looks at the ways in which we work with country data and the various difficulties faces when dealing with varied demographic data. Multiple approaches to producing population estimates are also discussed, as well as Bayesian modeling as a method.

Note: This is an edited extract from a longer webinar recorded on 4 May 2022 as part of a joint webinar with WorldPop Project and the UNFPA: 'Modelling Population Estimates' that included contributions from partners in Columbia (DANE), Mali (INSTAT) and Burkina Faso (INSD).

In this 1 hour webinar session, panelists Dan Hogan and Edson Utazi discuss the issues surrounding characteristics of vaccination in children in low- and middle-income countries, and cover the cross-sectional study they performed.

Andrew Tatem
Kristine Nilsen
Natalia Tejedor Garavito
Winfred Dotse – Gborgbortsi