Evidence map›Paper›PMID 41296742›Full record

ArticlePloS one2025

Who gets counted? Understanding low female death registration in India.

Sheetal Verma, Ritul Kamal, Laxmi Kant Dwivedi, Mrigesh Bhatia

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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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

4 authors.

Sheetal VermaInternational Institute for Population Sciences (IIPS), Mumbai, Maharashtra, India.ORCID https://orcid.org/0009-0006-9856-944X
Ritul KamalDirectorate of Census Operations, Uttar Pradesh, Lucknow, Uttar Pradesh, India.ORCID https://orcid.org/0000-0001-9741-1698
Laxmi Kant DwivediInternational Institute for Population Sciences (IIPS), Mumbai, Maharashtra, India.
Mrigesh BhatiaDepartment of Health Policy, London School of Economics, London, United Kingdom.ORCID https://orcid.org/0000-0001-9366-142X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCivil Registration and Vital Statistics (CRVS) systems are essential for governance, public health, and achieving SDGs however, gender gaps limit women's access to rights and services, with under-registration of female vital events reinforcing their invisibility and distorting gender-responsive policies.

objectivesThis study examines the drivers of low female death registration across India's States and Union Territories, focusing on the roles of age, gender and wealth, with an aim to inform policies to strengthen CRVS systems and reduce gender disparities in vital statistics.

methodsThe study utilizes data from NFHS-5 (2019-2021 for examining the factors associated with female death registration. Multivariable logistic regression models have been used to examine the impact of socio-economic and demographic factors on female death registration in India.

findingsThe results highlight a significant gender gap in death registration (73% male vs. 64% female). The gap is widest in states like Bihar and Uttar Pradesh, while states like Kerala and Goa report near universal registration for both sexes. Gender gaps in housing and land ownership align with gaps in death registration, suggesting a strong association between asset ownership and registration. The results highlight association between wealth and death registration, with rates rising across quintiles for both sexes; however males consistently have higher registration rates. Among the poorest, the gap is widest which narrows down in the richest group. A gender gap in death registration persists across all age groups in India, beginning early, widening during working ages, and continuing into old age; while registration rates improve with age and wealth, women especially among the poorest remain under-registered, particularly in early and later life stages.

conclusionsWomen in India encounter barriers to civil registration, and improving death registration demands systemic reforms, digital advancements, and community engagement Strengthening political commitment, collaboration, and public awareness will ensure inclusive, accurate records, enhancing CRVS for governance and policy.

Indexed as

RegistriesVital StatisticsAdolescentAdultAgedFemaleHumansIndiaMaleMiddle AgedSex FactorsSocioeconomic FactorsYoung Adult

Identifiers

PMID41296742
PMCPMC12654884

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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.