Evidence map›Paper›PMID 40299700›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Measuring global migration flows using online data.

Guanghua Chi, Guy J Abel, Drew Johnston, Eugenia Giraudy, Mike Bailey

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Advances in small area population estimation in the absence of national census data.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. The COVID-19 pandemic had heterogeneous effects on migration dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Article
  9. Article
  10. Measuring global migration flows using online data.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Guanghua ChiMeta, Menlo Park, CA 94025.ORCID 0000-0003-0430-7483
Guy J AbelDepartment of Sociology, Faculty of Social Sciences, University of Hong Kong, Hong Kong Special Administrative Regions, China.ORCID 0000-0002-4893-5687
Drew JohnstonDepartment of Economics, Harvard University, Cambridge, MA 02138.ORCID 0000-0002-1483-3420
Eugenia GiraudyMeta, Menlo Park, CA 94025.ORCID 0009-0003-6551-2226
Mike BaileyMeta, Menlo Park, CA 94025.ORCID 0009-0003-6574-4553

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

COVID-19Emigration and ImmigrationHuman MigrationHumansPandemicsSARS-CoV-2Social Mediahuman migrationinternational migrationmigration flow

Identifiers

PMID40299700
PMCPMC12067262

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.