Evidence map›Paper›PMID 41413534›Full record

ArticleBMC women's health2025

Assessing geographic variation in women's decision-making power across 720 districts in India, 2016-2021.

Yun-Jung Eom, Shalem Balla, Sunil Rajpal, Rockli Kim, S V Subramanian

Abstract read
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Article in BMC women's health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yun-Jung Eom *Interdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, South Korea.ORCID 0000-0002-1654-6791
Shalem Balla *School of Humanities and Social Sciences, Indian Institute of Technology, Mandi, Himachal Pradesh, India.ORCID 0000-0001-7368-3170
Sunil RajpalDepartment of Economics, FLAME University, Pune, India.ORCID 0000-0001-8607-1878
Rockli KimInterdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, South Korea. rocklikim@korea.ac.kr.ORCID 0000-0002-9864-3957
S V SubramanianHarvard Center for Population and Development Studies, Cambridge, MA, USA.ORCID 0000-0003-2365-4165

Funding

Gates Foundation INV-002992
6 · The paper itself

Abstract

backgroundWomen’s ability to make decisions in personal and family matters is a crucial component of their agency, often shaped by geographically clustered and hierarchically structured social and cultural factors. Despite its importance, district-level research on women’s decision-making in India is scarce, especially considering the country’s diverse socio-cultural contexts. This study examines women’s participation in decision-making across 720 districts in India, with a focus on exploring the geographical patterns of variation.

methodsUsing data from the 2016 and 2021 rounds of the National Family Health Survey, we analyzed data from currently married women aged 15–49 years in India. The final analytical sample included 86,694 women from 2016 to 76,910 women from 2021. We employed a four-level logistic regression model using Markov Chain Monte Carlo estimation to examine geographic patterns of women’s decision-making across 720 districts in India.

resultsWomen’s participation in household decision-making increased between 2016 and 2021, with the median district prevalence rising from 85.38% to 89.87%. In 2016, relatively low levels of participation in decision-making (< 80%) were geographically widespread across districts. By 2021, women’s decision-making participation increased in 312 districts (≥ 5.00%), whereas declines were observed in 100 districts based on a more conservative threshold (≤–2.5%). Both improvements and declines were geographically dispersed, indicating that changes in women’s decision-making power did not follow a clear regional pattern.

conclusionWhile women’s decision-making power in India has improved overall, the direction and magnitude of change continue to vary widely from district to district across the country. This observed geographic heterogeneity underscores persistent structural and normative barriers to women’s agency. Addressing these geographic disparities requires context-specific policies that are responsive to local socio-cultural dynamics, including family structures and gender norms.

Indexed as

Decision MakingPower, PsychologicalAdolescentAdultFemaleHumansIndiaMiddle AgedYoung AdultDistrict-level variationGeographic disparitiesIndiaWomen's decision-makingWomen's empowerment

Identifiers

PMID41413534
PMCPMC12874934

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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.