Evidence map›Paper›PMID 40957930›Full record

ArticleNature communications2025

Socioeconomic predictors of vulnerability to flood-induced displacement.

Benedikt Mester, Katja Frieler, Oliver Korup, Bina Desai, Jacob Schewe

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Benedikt MesterPotsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany.ORCID http://orcid.org/0000-0001-7731-476X
Katja FrielerPotsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany.ORCID http://orcid.org/0000-0003-4869-3013
Oliver KorupInstitute of Environmental Science and Geography, University of Potsdam, Potsdam, Germany.ORCID http://orcid.org/0000-0002-9084-1895
Bina DesaiCGIAR Climate Security, Alliance Biodiversity International and CIAT, Rome, Italy.ORCID http://orcid.org/0000-0003-0650-5926
Jacob SchewePotsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany. jacob.schewe@pik-potsdam.de.ORCID http://orcid.org/0000-0001-9455-4159

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Floods displace an average of 12 million people every year, and are responsible for 54% of all disaster-induced displacements. Displacement risk scales with the vulnerability of exposed populations, but this vulnerability is poorly understood at a global scale. Here we show that measures of human development and rural areas explain more of the variance of displacement vulnerability than income levels measured by gross domestic product. We combine global flood and displacement data to estimate vulnerability, as the ratio of displacement to exposure, for over 300 historical flood events. We find that this vulnerability varies by several orders of magnitude both between and within countries. A random forest regression shows that infant mortality rate and population density are among the most important predictors of displacement vulnerability at national level and within countries, respectively, highlighting the vulnerability of low-income and marginalized populations and of rural communities. Our results indicate that, rather than relying on overall economic development alone, targeted investments are needed to improve living conditions and coping capacities for the most vulnerable groups, particularly outside of large cities, and to prepare for increasing flood hazards due to climate change.

Indexed as

DisastersFloodsVulnerable PopulationsClimate ChangeHumansInfant MortalityPopulation DensityRural PopulationSocioeconomic Factors

Identifiers

PMID40957930
PMCPMC12441118

What OpenQuestion holds

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LicenceCC BY
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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.