ArticleScientific data2026
Annual Migration Flow Estimates by Sex between all Countries since 1960.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Annual Migration Flow Estimates by Sex between all Countries since 1960.Scientific data · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Global migration data are essential for understanding how human mobility shapes demographic, economic, social, and political dynamics worldwide. While migrant stock estimates remain a key resource, many research and policy applications benefit from data on migration flows, given their greater sensitivity to economic, political, and other changes. Inferring flows from stocks is not trivial, especially at a temporal resolution finer than the multi-year intervals of the stock data, which can be too coarse to capture migration responses to short-term events. Here, we present FLOW, a global dataset of bilateral migration flows, consistent with available migrant stock data, covering 1960-2024 at annual resolution. We first estimate multi-year flows by linking stock-derived variables to recent global flow observations, and applying the model to harmonised historical data. We then downscale the results to annual resolution by aligning them with country-level annual net migration. While subject to limitations and uncertainties inherent to this spatial and temporal scale, FLOW estimates provide a consistent and comprehensive resource for historical and forward-looking migration research, model development, and policy analysis, combining global coverage with annual resolution across more than six decades.
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Registered trials
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.