Data and methods: Through the assembly of over 100 million records for 87 countries, we have produced age and sex-structured population distribution datasets for the African and Asian continents. On a country-by-country basis, we incorporate the most comprehensive and contemporary data source detailing age and sex structures, including census, micro-census and household surveys.
Outputs: Products include multi-temporal, gridded population datasets unique in terms of granularity and extent, providing fine-scale (~100m) patterns of population distribution on a country-wide basis.
Applications: These datasets provide timely measuring and mapping of residential population patterns decades, generating comparable datasets suitable for analyzing population change across time. To accomplish this task, the model uses a limited set of input data that are time-invariant or temporally-explicit. This approach supports population density and urban definition change analyses in the most robust and accurate manner available at this time. The datasets can be used in support of identifying and modelling populations at risk in epidemiological, climate, and disaster management applications, among others. In contrast to contemporary WorldPop datasets that use a large ancillary set of data in the modeling process, the reduced level of covariates make these population maps decrease the potential for endogeneity in subsequent analyses.
WorldPop, Geography and Environment University of Southampton A.J.Tatem@soton.ac.uk
(023) 8059 2636
WorldPop, University of Louisville Louisville, KY
Bill and Melinda Gates Foundation, China CDC
Gaughan et al (2016) Spatiotemporal patterns of population in mainland China, 1990 to 2010, Nature Scientific Data Stevens et al (2015) Disaggregating Census Data for Population Mapping Using Random Forests with Remotely-Sensed and Ancillary Data, PLoS ONE