Study Reveals Major Undercounting of Rural Population in Global Datasets
- A new study suggests that global population datasets may dramatically underestimate the rural population, potentially missing between 53% to 84% of people living in rural areas, according to researchers at Aalto University.
- The study indicates that even reliable datasets from 2010 inaccurately estimate rural populations by one-third to three-quarters.
- Josias Láng-Ritter, the first study author, stated, "Our study provides evidence that a significant proportion of the rural population may be missing from global population datasets."
- The researchers warn that this undercounting may lead to rural residents being under-represented in decision-making, thus affecting access to essential services and resources.
17 Articles
17 Articles
Global gridded population datasets systematically underrepresent rural population
Numerous initiatives towards sustainable development rely on global gridded population data. Such data have been calibrated primarily for urban environments, but their accuracy in the rural domain remains largely unexplored. This study systematically validates global gridded population datasets in rural areas, based on reported human resettlement from 307 large dam construction projects in 35 countries. We find large discrepancies between the ex…
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'Significant proportion' of world's rural population missing from global estimates, says study
Governments, international bodies and researchers rely on global population data for resource allocation and infrastructure planning to disease epidemiology and disaster risk management. In a study published in Nature Communications, researchers from Aalto University in Finland show the profound and systematic extent to which these datasets underestimate rural population figures worldwide.
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