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COVID-19 and urban exodus: diverging population redistribution patterns across countries from 2020 to 2022

COVID-19 and urban exodus: diverging population redistribution patterns across countries from 2020 to 2022
COVID-19 and urban exodus: diverging population redistribution patterns across countries from 2020 to 2022
While widespread urbanisation continues, emerging trends of population redistribution away from highly urbanised areas have been observed in some countries, with important implications for infrastructure planning, resource allocation, and environmental risk assessment. However, few studies have examined this trend in a timely and spatially comprehensive manner across diverse national contexts, particularly in response to the turbulence in migration patterns caused by the COVID-19 pandemic. Here, we analyse spatial Facebook population data from 2020 to 2022 across 35 countries to characterise two forms of population redistribution: shifts between urban and rural areas, and changes along the urban density gradient. During the early response phase of the pandemic, broader country-level trends of urban-to-rural redistribution and intra-urban deconcentration were evident. However, 20% and 4.8% of these trends, respectively, were temporary and reversed during the later phase of the pandemic. The extent and direction of these patterns varied across countries and were negatively associated with the Human Development Index, suggesting that developed nations experienced greater urban depopulation and spatial deconcentration. Our findings reveal a potential misalignment between population redistribution and existing physical urban densities in certain countries, as densely built-up areas are experiencing outflows, highlighting the need for adaptive urban planning strategies to address evolving population dynamics and related sustainability challenges.
2661-8001
Duan, Qianwen
f257122e-0d49-4734-ad42-ffd58ae7060d
Lai, Shengjie
b57a5fe8-cfb6-4fa7-b414-a98bb891b001
Sorichetta, Alessandro
20014c19-5ac4-4417-9f7c-4b65f336989e
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Steele, Jessica
5cbba8c8-f3fd-41ee-82c8-0aa13c04c04d
Eigenbrod, Felix
43efc6ae-b129-45a2-8a34-e489b5f05827
Duan, Qianwen
f257122e-0d49-4734-ad42-ffd58ae7060d
Lai, Shengjie
b57a5fe8-cfb6-4fa7-b414-a98bb891b001
Sorichetta, Alessandro
20014c19-5ac4-4417-9f7c-4b65f336989e
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Steele, Jessica
5cbba8c8-f3fd-41ee-82c8-0aa13c04c04d
Eigenbrod, Felix
43efc6ae-b129-45a2-8a34-e489b5f05827

Duan, Qianwen, Lai, Shengjie, Sorichetta, Alessandro, Tatem, Andrew, Steele, Jessica and Eigenbrod, Felix (2026) COVID-19 and urban exodus: diverging population redistribution patterns across countries from 2020 to 2022. npj Urban Sustainability. (doi:10.1038/s42949-026-00351-y).

Record type: Article

Abstract

While widespread urbanisation continues, emerging trends of population redistribution away from highly urbanised areas have been observed in some countries, with important implications for infrastructure planning, resource allocation, and environmental risk assessment. However, few studies have examined this trend in a timely and spatially comprehensive manner across diverse national contexts, particularly in response to the turbulence in migration patterns caused by the COVID-19 pandemic. Here, we analyse spatial Facebook population data from 2020 to 2022 across 35 countries to characterise two forms of population redistribution: shifts between urban and rural areas, and changes along the urban density gradient. During the early response phase of the pandemic, broader country-level trends of urban-to-rural redistribution and intra-urban deconcentration were evident. However, 20% and 4.8% of these trends, respectively, were temporary and reversed during the later phase of the pandemic. The extent and direction of these patterns varied across countries and were negatively associated with the Human Development Index, suggesting that developed nations experienced greater urban depopulation and spatial deconcentration. Our findings reveal a potential misalignment between population redistribution and existing physical urban densities in certain countries, as densely built-up areas are experiencing outflows, highlighting the need for adaptive urban planning strategies to address evolving population dynamics and related sustainability challenges.

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More information

Accepted/In Press date: 29 January 2026
Published date: 5 February 2026

Identifiers

Local EPrints ID: 510116
URI: http://eprints.soton.ac.uk/id/eprint/510116
ISSN: 2661-8001
PURE UUID: 810c49cc-5920-4fcf-bf8b-cad80a2f8035
ORCID for Qianwen Duan: ORCID iD orcid.org/0000-0003-4342-5044
ORCID for Shengjie Lai: ORCID iD orcid.org/0000-0001-9781-8148
ORCID for Andrew Tatem: ORCID iD orcid.org/0000-0002-7270-941X
ORCID for Felix Eigenbrod: ORCID iD orcid.org/0000-0001-8982-824X

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Date deposited: 17 Mar 2026 18:08
Last modified: 21 Mar 2026 03:24

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Contributors

Author: Qianwen Duan ORCID iD
Author: Shengjie Lai ORCID iD
Author: Alessandro Sorichetta
Author: Andrew Tatem ORCID iD
Author: Jessica Steele
Author: Felix Eigenbrod ORCID iD

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