Measuring global migration flows using online data

Existing estimates of human migration are limited in their scope, reliability, and timeliness, prompting the United Nations and the Global Compact on Migration to call for improved data collection. Using privacy protected records from three billion Facebook users, we estimate country-to-country migration flows at monthly granularity for 181 countries, accounting for selection into Facebook usage. Our estimates closely match high-quality measures of migration where available but can be produced nearly worldwide and with less delay than alternative methods. We estimate that 39.1 million people migrated internationally in 2022 (0.63% of the population of the countries in our sample). Migration flows significantly changed during the COVID-19 pandemic, decreasing by 64% before rebounding in 2022 to a pace 24% above the precrisis rate. We also find that migration from Ukraine increased tenfold in the wake of the Russian invasion. To support research and policy interventions, we release these estimates publicly through the Humanitarian Data Exchange.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2025-04-29
DOI
https://doi.org/10.1073/pnas.2409418122
Citations
8
Primary Topic
Human Mobility and Location-Based Analysis
Type
article
Field-Weighted Citation Impact
17.41
Controls
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article

Measuring global migration flows using online data

Guy Abel, Drew Johnston, Guanghua Chi, Eugenia Giraudy et al.
8 citations
Proceedings of the National Academy of Sciences
Human Mobility and Location-Based Analysis
17.41
article

Measuring global migration flows using online data

Guy Abel, Drew Johnston, Guanghua Chi, Eugenia Giraudy, Michael Bailey
article en
8 citations

Abstract

Existing estimates of human migration are limited in their scope, reliability, and timeliness, prompting the United Nations and the Global Compact on Migration to call for improved data collection. Using privacy protected records from three billion Facebook users, we estimate country-to-country migration flows at monthly granularity for 181 countries, accounting for selection into Facebook usage. Our estimates closely match high-quality measures of migration where available but can be produced nearly worldwide and with less delay than alternative methods. We estimate that 39.1 million people migrated internationally in 2022 (0.63% of the population of the countries in our sample). Migration flows significantly changed during the COVID-19 pandemic, decreasing by 64% before rebounding in 2022 to a pace 24% above the precrisis rate. We also find that migration from Ukraine increased tenfold in the wake of the Russian invasion. To support research and policy interventions, we release these estimates publicly through the Humanitarian Data Exchange.

Proceedings of the National Academy of SciencesVol. 122(18)
International Institute for Applied Systems Analysis (AT), Harvard University Press (US), University of Hong Kong (HK)
Reduced inequalities
Openalex Percentile: Top 1%
Human Mobility and Location-Based Analysis
17.41
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Measuring global migration flows using online data — Guy Abel, Drew Johnston, et al. · Proceedings of the National Academy of Sciences (2025) | TGRS Research Map | TGRS