Evidence map›Paper›PMID 41951672›Full record

ArticleScientific data2026

A harmonized dataset of education- and age-specific fertility rates for DHS countries.

Afua Durowaa-Boateng, Dilek Yildiz, Anne Goujon

Abstract readDataset
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Afua Durowaa-BoatengVienna Institute of Demography of the Austrian Academy of Sciences, Wittgenstein Centre for Demography and Global Human Capital (IIASA/POPJUS, OeAW/VID, Univ. Vienna/DoD), Vienna, Austria. afua.durowaa-boateng@oeaw.ac.at.
Dilek YildizInternational Institute for Applied Systems Analysis, Wittgenstein Centre for Demography and Global Human Capital (IIASA/POPJUS, OeAW/VID, Univ. Vienna/DoD)of Vienna), Laxenburg, Austria. yildiz@iiasa.ac.at.
Anne GoujonVienna Institute of Demography of the Austrian Academy of Sciences, Wittgenstein Centre for Demography and Global Human Capital (IIASA/POPJUS, OeAW/VID, Univ. Vienna/DoD), Vienna, Austria.

Funding

Österreichische Akademie der Wissenschaften Innovation Fund Research, Science and Society (IF_2019_29)
6 · The paper itself

Abstract

Education and fertility levels of individuals and communities are closely interlinked. Education-specific fertility rates are useful to understand how differences in educational attainment influence reproductive behaviour. These estimates also serve as foundations for designing and developing population projections under varying education and fertility scenarios. However, consistent series of historical education- and age-specific fertility rates are rarely available outside countries with strong vital registration systems. Here, we estimate education- and age-specific fertility rates for 78 countries within the Demographic and Health Surveys (DHS) database, spanning the period from 1970 to 2020, in five-year intervals. Using a Bayesian approach, we combine data from multiple sources to estimate UN-consistent education- and age-specific fertility rates.

Indexed as

Birth RateEducational StatusAge FactorsBayes TheoremFemaleHumans

Identifiers

PMID41951672
PMCPMC13237228

What OpenQuestion holds

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Registered trials

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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.