Reply To: Global Gridded Population Datasets Systematically Underrepresent Rural Population by Josias Láng-Ritter et al

• URL: http://arxiv.org/abs/2602.09248v1
• Date: Mon, 09 Feb 2026 22:25:55 GMT
• Title: Reply To: Global Gridded Population Datasets Systematically Underrepresent Rural Population by Josias Láng-Ritter et al
• Authors: Till Koebe, Emmanuel Letouzé, Tuba Bircan, Édith Darin, Douglas R. Leasure, Valentina Rotondi,
• Abstract summary: Key claims in the study are overly bold, not properly backed by evidence and lack a cautious and nuanced discussion.<n>We argue that the reported bias figures are less caused by actual undercounting of rural populations, but more so by contestable methodological decisions and the historic misallocation of (gridded) population estimates on the local level.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The paper titled ''Global gridded population datasets systematically underrepresent rural population'' by Josias Láng-Ritter et al. provides a valuable contribution to the discourse on the accuracy of global population datasets, particularly in rural areas. We recognize the efforts put into this research and appreciate its contribution to the field. However, we feel that key claims in the study are overly bold, not properly backed by evidence and lack a cautious and nuanced discussion. We hope these points will be taken into account in future discussions and refinements of population estimation methodologies. We argue that the reported bias figures are less caused by actual undercounting of rural populations, but more so by contestable methodological decisions and the historic misallocation of (gridded) population estimates on the local level.

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