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. 2024 Sep 2;14:20410. doi: 10.1038/s41598-024-71330-5

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© The Author(s) 2024

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 1 — Scatter plots comparing the exposed population estimates from the reference dataset (SCB—Swedish Statistical Bureau) to those from the generated datasets, WorldPop (left column) and GHSPop (right column), across four administrative levels : Grid (1 km), Demographic Statistical Areas (DeSo), Regional Statistical Areas (RegSo), and Municipality. Each plot shows the SCB estimates on the x-axis and the corresponding estimates from WorldPop and GHSPop on the y-axes. The dashed line represents the 1:1 ratio, indicating perfect agreement between the datasets. The dispersion of points around this line illustrates the degree of correlation and potential discrepancies in population exposure estimates between the different sources and administrative divisions.