BetaBetaDataset
The objective of this research is to generate detailed gridded population estimates for selected provinces in the Democratic Republic of the Congo (Haut-Katanga, Haut-Lomami, Ituri, Kasaï, Kasaï Oriental, Lomami, and Sud-Kivu), providing insights into population distribution, demographic composition, and spatial variation to support development initiatives, public health interventions, and demographic research.
The research aims to address the need for detailed population data in specific provinces of the DRC to inform development strategies, public health interventions, and demographic studies. By providing population estimates at a fine spatial resolution and disaggregated by age and sex, it facilitates targeted interventions and enables stakeholders to better understand population dynamics and distribution patterns in the region.
A geotiff raster with estimates of total population size for each approximately 100 m grid cell across the study area. It also contains a geotiff raster with estimates of uncertainty in the population estimates
The main input data were derived from a dedicated microcensus survey carried out in the targeted provinces throughout March and April 2021. The microcensus was led by the Flowminder Foundation, the École de Santé Publique de Kinshasa, the WorldPop Research Group at the University of Southampton and the Bureau Central du Recensement, which is part of the Institut National de la Statistique of the DRC. Other essential input data include metrics derived from building footprints, which were automatically delineated by Ecopia.AI in 2021 using satellite imagery collected by Maxar Technologies between 2010 and 2021.