WorldPop Project

WorldPop

File:WorldPop logo.png Logo of the WorldPop Project
Abbreviation	WorldPop
Formation	2013-10-01
Type	Research project
Purpose	Producing detailed and freely-available population distribution maps for low- and middle-income countries.
Headquarters	University of Southampton Southampton, Hampshire
Location	United Kingdom
Region served	Global
Official language	English
Coordinator	Professor Andrew J Tatem
Affiliations	School of Geography and Environmental Science, University of Southampton
Website	http://www.worldpop.org/

WorldPop is a research programme based in the School of Geography and Environmental Science, University of Southampton. The programme employs a multidisciplinary team of researchers, analysts, GIS technicians, and project specialists who construct open data on populations and population attributes at high spatial resolution. Created from a combination of The AfriPop Project, AmeriPop, and AsiaPop projects in 2013, WorldPop engages in geospatial demographic projects with governments and institutions in low- and middle-income countries (LMICs) as well as collaborations with partner organisations, such as the Bill & Melinda Gates Foundation, Gavi, the Vaccine Alliance, United Nations agencies, the UK Foreign, Commonwealth and Development Office, commercial data providers and other international development organisations. The programme provides training in population modelling to ministries of health and national statistical offices in LMICs and works with them to support health and demographic surveys to achieve Sustainable Development Goals

Areas of interest

• Demography
• Geographic information system data
• Satellite imagery
• Remote sensing
• Effects of Non-pharmaceutical intervention (epidemiology) on COVID-19
• Geospatial predictive modeling

File:WorldPop Demographics Portal interface.png

Screen capture of WorldPop Demographics Portal interface showing subnational age/sex structures for Africa, 2020

Population estimation

WorldPop develops statistical population modelling methods to produce gridded population estimates that support census activities. The programme develops new methods for data synthesis that use demographic and health surveys, census, satellite imagery, cell phone and other data to create consistent gridded outputs and map detailed population densities.

A case study evaluating several geospatial datasets against the 'gold-standard' census data for Bioko Island, Equatorial Guinea found that while the WorldPop Constrained dataset for the area matched best at lower population densities, WorldPop Unconstrained data performed poorly at all densities.

Population of Papua New Guinea

Although the government of Papua New Guinea had estimated the country's population at 9.4 million, unpublished findings of a population estimation study funded by the United Nations Population Fund and conducted by WorldPop in November 2022 suggested the true population was close to 17 million. This estimate was reviewed and amended to less than 11 million and the methodology used to calculate this figure was published in July 2023.

WorldPop Database

Outputs from WorldPop research contribute to a spatial database of linked information on contemporary census data, satellite-imagery-derived settlement maps, and land cover information. The resultant API, datasets, methods, and maps are available under Creative Commons license on the project's websites. Through collaboration with Esri, gridded population datasets produced by WorldPop are also available in the ArcGIS Living Atlas of the World

See also

• Developing country
• World Population
• Malaria Atlas Project

External links

• WorldPop—official website
• WorldPop Open Population Repository—access to gridded population estimates and related data.
• WorldPop Applications—access to WorldPop's interactive web map, do-it-yourself gridded population estimate tool and demographics portal.