A new study by WorldPop, with contribution from Flowminder, introduces a Bayesian model jointly estimating building and population counts through the integration of geolocated survey data and gridded geospatial datasets.
The study relies on data from the 2021 microcensus conducted by Flowminder under the Mapping for Health project, and funded by Gavi, the Vaccine Alliance. We collected data across DRC from more than 81,000 households between March and April 2021.
The model provides population estimates for the Kasaï-Oriental province in the Democratic Republic of the Congo (DRC), at a spatial resolution of approximately one hectare.