The survey uses population estimates produced by the GRID3 team at WorldPop, University of Southampton, to calculate population per enumeration area (i.e. the number of people in a geographic area that is canvassed by a survey enumerator). Whereas the survey originally used nationwide census projections from 2008 to produce updated population estimates for host populations in the country’s enumeration areas, the GRID3 data provided a more recent and more precise picture of the relevant populations, helping to improve the accuracy of the survey’s sampling frame. A better sampling frame can improve the accuracy of the collected data within it, which in turn has the potential to make development interventions using that data more effective.
Additionally, FSNMS+ partners anticipate that settlement extents and settlement points produced by GRID3’s One Settlement Map initiative can be a useful resource for future surveys. An effort centred around using the local knowledge of South Sudanese GIS experts to improve a consolidated settlement point layer, the initiative’s products can provide a secondary source of data that would serve as a reference to bolster the accuracy of other datasets (and would also likely inform maps that will be used by enumeration teams).
Overall, the results of the FSNMS+ will inform the 2022 humanitarian assistance agenda of the survey’s partners.