World’s human migration patterns in 2000–2019 unveiled by high-resolution data
No Thumbnail Available
Access rights
openAccess
publishedVersion
URL
Journal Title
Journal ISSN
Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
This publication is imported from Aalto University research portal.
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Other link related to publication (opens in new window)
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Other link related to publication (opens in new window)
Date
2023-11
Department
Major/Subject
Mcode
Degree programme
Language
en
Pages
15
Series
Nature Human Behaviour, Volume 7, issue 11, pp. 2023-2037
Abstract
Despite being a topical issue in public debate and on the political agenda for many countries, a global-scale, high-resolution quantification of migration and its major drivers for the recent decades remained missing. We created a global dataset of annual net migration between 2000 and 2019 (~10 km grid, covering the areas of 216 countries or sovereign states), based on reported and downscaled subnational birth (2,555 administrative units) and death (2,067 administrative units) rates. We show that, globally, around 50% of the world’s urban population lived in areas where migration accelerated urban population growth, while a third of the global population lived in provinces where rural areas experienced positive net migration. Finally, we show that, globally, socioeconomic factors are more strongly associated with migration patterns than climatic factors. While our method is dependent on census data, incurring notable uncertainties in regions where census data coverage or quality is low, we were able to capture migration patterns not only between but also within countries, as well as by socioeconomic and geophysical zonings. Our results highlight the importance of subnational analysis of migration—a necessity for policy design, international cooperation and shared responsibility for managing internal and international migration.Description
| openaire: EC/H2020/819202/EU//SOS.aquaterra Funding Information: This study was funded by Maa- ja vesitekniikan tuki ry, the European Research Council under the European Union’s Horizon 2020 research and innovation programme (SOS.aquaterra project; grant no. 819202), the European Research Council under the European Union’s Horizon 2020 research and innovation programme (POPCLIMA project, grant no. 101002973), the Aalto University School of Engineering, the Academy of Finland (TREFORM project; grant no. 339834), the Academy of Finland (WATVUL project; grant no. 317320) and the National Science Foundation of China funding research fund for International Young Scientists (grant no. 41950410572). The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript. We would like to thank M. Jalava from Aalto University for help with issues related to computations and setting up a server for the web application. Publisher Copyright: © 2023, The Author(s).
Keywords
Other note
Citation
Niva, V, Horton, A, Virkki, V, Heino, M, Kosonen, M, Kallio, M, Kinnunen, P, Abel, G J, Muttarak, R, Taka, M, Varis, O & Kummu, M 2023, 'World’s human migration patterns in 2000–2019 unveiled by high-resolution data', Nature Human Behaviour, vol. 7, no. 11, pp. 2023-2037. https://doi.org/10.1038/s41562-023-01689-4